Debug build:
```
CREATE TABLE table_float__fuzz_44 (`f` Decimal(18, 3), `u` Int8) ENGINE = MergeTree ORDER BY (f, u);
INSERT INTO table_float VALUES (1.2, 1) (1.3, 2) (1.4, 3) (1.5, 4);
SELECT count() FROM table_float__fuzz_44 WHERE (toUInt64(f) = 1) AND (f >= 1.3) AND (f <= 1.4) AND (u > 0) GROUP BY (toUInt64(f) = 1) AND (f >= 1.3) AND (f <= 100.0001) AND (u > 0);
```

https://s3.amazonaws.com/clickhouse-test-reports/44812/ea04181d11827fd552a86ca4d9c07e1d531e6ca3/fuzzer_astfuzzerdebug/report.html
}
        bool skip_not_null_check = false;
        if (from_low_cardinality && from_nested->isNullable() && !to_nested->isNullable())
            
            skip_not_null_check = true;
        auto wrapper = prepareRemoveNullable(from_nested, to_nested, skip_not_null_check);
        if (!from_low_cardinality && !to_low_cardinality)
            return wrapper;
        return [wrapper, from_low_cardinality, to_low_cardinality, skip_not_null_check]
                (ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable * nullable_source, size_t input_rows_count) -> ColumnPtr
        {
            ColumnsWithTypeAndName args = {arguments[0]};
            auto & arg = args.front();
            auto res_type = result_type;
            ColumnPtr converted_column;
            ColumnPtr res_indexes;
            
            bool src_converted_to_full_column = false;
            {
                auto tmp_rows_count = input_rows_count;
                if (to_low_cardinality)
                    res_type = to_low_cardinality->getDictionaryType();
                if (from_low_cardinality)
                {
                    const auto * col_low_cardinality = typeid_cast<const ColumnLowCardinality *>(arguments[0].column.get());
                    if (skip_not_null_check && col_low_cardinality->containsNull())
                        throw Exception{"Cannot convert NULL value to non-Nullable type",
                                        ErrorCodes::CANNOT_INSERT_NULL_IN_ORDINARY_COLUMN};
                    arg.column = col_low_cardinality->getDictionary().getNestedColumn();
                    arg.type = from_low_cardinality->getDictionaryType();