Library import 5, delete go dependencies (#832)

* Library import 5, delete go dependencies

* Fix yt client

1 files changed, 0 insertions, 291 deletions

diff --git a/contrib/clickhouse/src/Functions/widthBucket.cpp b/contrib/clickhouse/src/Functions/widthBucket.cpp
deleted file mode 100644
index e95f7c05756..00000000000
--- a/contrib/clickhouse/src/Functions/widthBucket.cpp
+++ /dev/null
@@ -1,291 +0,0 @@
-#include <Columns/ColumnConst.h>
-#include <Columns/ColumnVector.h>
-#include <Core/ColumnWithTypeAndName.h>
-#include <Core/ColumnsWithTypeAndName.h>
-#include <Core/Types.h>
-#include <DataTypes/DataTypesNumber.h>
-#include <DataTypes/IDataType.h>
-#include <DataTypes/NumberTraits.h>
-#include <Functions/FunctionFactory.h>
-#include <Functions/FunctionHelpers.h>
-#include <Functions/IFunction.h>
-#include <Interpreters/Context.h>
-#include <Interpreters/castColumn.h>
-#include <Common/Concepts.h>
-#include <Common/Exception.h>
-#include <Common/NaNUtils.h>
-#include <Common/register_objects.h>
-
-#include <algorithm>
-#include <iterator>
-#include <memory>
-#include <optional>
-#include <string>
-
-namespace DB
-{
-namespace ErrorCodes
-{
-    extern const int ILLEGAL_TYPE_OF_ARGUMENT;
-    extern const int BAD_ARGUMENTS;
-    extern const int LOGICAL_ERROR;
-}
-
-class FunctionWidthBucket : public IFunction
-{
-    template <typename TDataType>
-    void throwIfInvalid(
-        const size_t argument_index,
-        const ColumnConst * col_const,
-        const typename ColumnVector<TDataType>::Container * col_vec,
-        const size_t expected_size) const
-    {
-        if ((nullptr == col_const) ^ (nullptr != col_vec && col_vec->size() == expected_size))
-        {
-            throw Exception(
-                ErrorCodes::LOGICAL_ERROR,
-                "Logical error in function {}: argument {} has unexpected type or size!",
-                getName(),
-                argument_index);
-        }
-    }
-
-    template <typename TDataType>
-    const typename ColumnVector<TDataType>::Container * getDataIfNotNull(const ColumnVector<TDataType> * col_vec) const
-    {
-        if (nullptr == col_vec)
-        {
-            return nullptr;
-        }
-        return &col_vec->getData();
-    }
-
-    template <typename TDataType>
-    static TDataType
-    getValue(const ColumnConst * col_const, const typename ColumnVector<TDataType>::Container * col_vec, const size_t index)
-    {
-        if (nullptr != col_const)
-        {
-            return col_const->getValue<TDataType>();
-        }
-        return col_vec->data()[index];
-    }
-
-    static Float64 calculateRelativeBucket(const Float64 operand, const Float64 low, const Float64 high)
-    {
-        return (operand - low) / (high - low);
-    }
-
-    template <typename TResultType, typename TCountType>
-    std::optional<TResultType> checkArguments(const Float64 operand, const Float64 low, const Float64 high, const TCountType count) const
-    {
-        if (count == 0)
-        {
-            throw Exception(ErrorCodes::BAD_ARGUMENTS, "Last argument (count) for function {} cannot be 0.", getName());
-        }
-        if (isNaN(operand) || isNaN(low) || isNaN(high))
-        {
-            throw Exception(
-                ErrorCodes::BAD_ARGUMENTS, "The first three arguments (operand, low, high) cannot be NaN in function {}", getName());
-        }
-        // operand can be infinity, the following conditions will take care of it
-        if (!isFinite(low) || !isFinite(high))
-        {
-            throw Exception(ErrorCodes::BAD_ARGUMENTS, "The second and third arguments (low, high) cannot be Inf function {}", getName());
-        }
-        if (operand < low || low >= high)
-        {
-            return 0;
-        }
-        else if (operand >= high)
-        {
-            return count + 1;
-        }
-        return std::nullopt;
-    }
-
-    template <typename TResultType, typename TCountType>
-    TResultType NO_SANITIZE_UNDEFINED calculate(const Float64 operand, const Float64 low, const Float64 high, const TCountType count) const
-    {
-        if (const auto maybe_early_return = checkArguments<TResultType>(operand, low, high, count); maybe_early_return.has_value())
-        {
-            return *maybe_early_return;
-        }
-
-        const auto relative_bucket = calculateRelativeBucket(operand, low, high);
-
-        if (isNaN(relative_bucket) || !isFinite(relative_bucket))
-        {
-            throw Exception(
-                ErrorCodes::LOGICAL_ERROR, "The calculation resulted in NaN or Inf which is unexpected in function {}.", getName());
-        }
-        return static_cast<TResultType>(count * relative_bucket + 1);
-    }
-
-    template <is_any_of<UInt8, UInt16, UInt32, UInt64> TCountType>
-    ColumnPtr executeForResultType(const ColumnsWithTypeAndName & arguments, size_t input_rows_count) const
-    {
-        using ResultType = typename NumberTraits::Construct<false, false, NumberTraits::nextSize(sizeof(TCountType))>::Type;
-        auto common_type = std::make_shared<DataTypeNumber<Float64>>();
-
-        std::vector<ColumnPtr> casted_columns;
-        casted_columns.reserve(3);
-        for (const auto argument_index : collections::range(0, 3))
-        {
-            casted_columns.push_back(castColumn(arguments[argument_index], common_type));
-        }
-
-        const auto * operands_vec = getDataIfNotNull(checkAndGetColumn<ColumnVector<Float64>>(casted_columns[0].get()));
-        const auto * lows_vec = getDataIfNotNull(checkAndGetColumn<ColumnVector<Float64>>(casted_columns[1].get()));
-        const auto * highs_vec = getDataIfNotNull(checkAndGetColumn<ColumnVector<Float64>>(casted_columns[2].get()));
-        const auto * counts_vec = getDataIfNotNull(checkAndGetColumn<ColumnVector<TCountType>>(arguments[3].column.get()));
-
-        const auto * operands_col_const = checkAndGetColumnConst<ColumnVector<Float64>>(casted_columns[0].get());
-        const auto * lows_col_const = checkAndGetColumnConst<ColumnVector<Float64>>(casted_columns[1].get());
-        const auto * highs_col_const = checkAndGetColumnConst<ColumnVector<Float64>>(casted_columns[2].get());
-        const auto * counts_col_const = checkAndGetColumnConst<ColumnVector<TCountType>>(arguments[3].column.get());
-
-        throwIfInvalid<Float64>(0, operands_col_const, operands_vec, input_rows_count);
-        throwIfInvalid<Float64>(1, lows_col_const, lows_vec, input_rows_count);
-        throwIfInvalid<Float64>(2, highs_col_const, highs_vec, input_rows_count);
-        throwIfInvalid<TCountType>(4, counts_col_const, counts_vec, input_rows_count);
-
-        const auto are_all_const_cols
-            = nullptr != operands_col_const && nullptr != lows_col_const && nullptr != highs_col_const && nullptr != counts_col_const;
-
-
-        if (are_all_const_cols)
-        {
-            throw Exception(
-                ErrorCodes::LOGICAL_ERROR, "Logical error in function {}: unexpected combination of argument types!", getName());
-        }
-
-        auto result_column = ColumnVector<ResultType>::create();
-        result_column->reserve(1);
-        auto & result_data = result_column->getData();
-
-        for (const auto row_index : collections::range(0, input_rows_count))
-        {
-            const auto operand = getValue<Float64>(operands_col_const, operands_vec, row_index);
-            const auto low = getValue<Float64>(lows_col_const, lows_vec, row_index);
-            const auto high = getValue<Float64>(highs_col_const, highs_vec, row_index);
-            const auto count = getValue<TCountType>(counts_col_const, counts_vec, row_index);
-            result_data.push_back(calculate<ResultType>(operand, low, high, count));
-        }
-
-        return result_column;
-    }
-
-public:
-    static inline const char * name = "widthBucket";
-
-    explicit FunctionWidthBucket() = default;
-
-    static FunctionPtr create(ContextPtr) { return std::make_shared<FunctionWidthBucket>(); }
-
-    String getName() const override { return name; }
-
-    size_t getNumberOfArguments() const override { return 4; }
-
-    DataTypePtr getReturnTypeImpl(const DataTypes & arguments) const override
-    {
-        for (const auto argument_index : collections::range(0, 3))
-        {
-            if (!isNativeNumber(arguments[argument_index]))
-            {
-                throw Exception(
-                    ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
-                    "The first three arguments of function {} must be a Int8, Int16, Int32, Int64, UInt8, UInt16, UInt32, UInt64, Float32 "
-                    "or Float64.",
-                    getName());
-            }
-        }
-        if (!WhichDataType(arguments[3]).isNativeUInt())
-        {
-            throw Exception(
-                ErrorCodes::ILLEGAL_TYPE_OF_ARGUMENT,
-                "The last argument of function {} must be UInt8, UInt16, UInt32 or UInt64, found {}.",
-                getName(),
-                arguments[3]->getName());
-        }
-        switch (arguments[3]->getTypeId())
-        {
-            case TypeIndex::UInt8:
-                return std::make_shared<DataTypeUInt16>();
-            case TypeIndex::UInt16:
-                return std::make_shared<DataTypeUInt32>();
-            case TypeIndex::UInt32:
-                [[fallthrough]];
-            case TypeIndex::UInt64:
-                return std::make_shared<DataTypeUInt64>();
-            default:
-                break;
-        }
-
-        UNREACHABLE();
-    }
-
-    bool isSuitableForShortCircuitArgumentsExecution(const DataTypesWithConstInfo & /*arguments*/) const override { return true; }
-
-    ColumnPtr
-    executeImpl(const ColumnsWithTypeAndName & arguments, const DataTypePtr & /*result_type*/, size_t input_rows_count) const override
-    {
-        switch (arguments[3].type->getTypeId())
-        {
-            case TypeIndex::UInt8:
-                return executeForResultType<UInt8>(arguments, input_rows_count);
-            case TypeIndex::UInt16:
-                return executeForResultType<UInt16>(arguments, input_rows_count);
-            case TypeIndex::UInt32:
-                return executeForResultType<UInt32>(arguments, input_rows_count);
-            case TypeIndex::UInt64:
-                return executeForResultType<UInt64>(arguments, input_rows_count);
-            default:
-                break;
-        }
-
-        UNREACHABLE();
-    }
-
-    bool useDefaultImplementationForConstants() const override { return true; }
-};
-
-REGISTER_FUNCTION(WidthBucket)
-{
-    factory.registerFunction<FunctionWidthBucket>(FunctionDocumentation{
-        .description=R"(
-Returns the number of the bucket in which `operand` falls in a histogram having `count` equal-width buckets spanning the range `low` to `high`. Returns `0` if `operand < low`, and returns `count+1` if `operand >= high`.
-
-`operand`, `low`, `high` can be any native number type. `count` can only be unsigned native integer and its value cannot be zero.
-
-**Syntax**
-
-```sql
-widthBucket(operand, low, high, count)
-```
-
-There is also a case insensitive alias called `WIDTH_BUCKET` to provide compatibility with other databases.
-
-**Example**
-
-Query:
-[example:simple]
-
-Result:
-
-``` text
-┌─widthBucket(10.15, -8.6, 23, 18)─┐
-│                               11 │
-└──────────────────────────────────┘
-```
-)",
-        .examples{
-            {"simple", "SELECT widthBucket(10.15, -8.6, 23, 18)", ""},
-        },
-        .categories{"Mathematical"},
-    });
-
-    factory.registerAlias("width_bucket", "widthBucket", FunctionFactory::CaseInsensitive);
-}
-
-}