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
{
        return from;
    }
};
/** Special case of converting Int8, Int16, (U)Int32 or (U)Int64 (and also, for convenience,
  * Float32, Float64) to Date. If the number is negative, saturate it to unix epoch time. If the
  * number is less than 65536, then it is treated as DayNum, and if it's greater or equals to 65536,
  * then treated as unix timestamp. If the number exceeds UInt32, saturate to MAX_UINT32 then as DayNum.
  * It's a bit illogical, as we actually have two functions in one.
  * But allows to support frequent case,
  *  when user write toDate(UInt32), expecting conversion of unix timestamp to Date.
  *  (otherwise such usage would be frequent mistake).
  */
template <typename Name> struct ConvertImpl<DataTypeUInt32, DataTypeDate, Name, ConvertDefaultBehaviorTag>
    : DateTimeTransformImpl<DataTypeUInt32, DataTypeDate, ToDateTransform32Or64<UInt32, UInt16>> {};
template <typename Name> struct ConvertImpl<DataTypeUInt64, DataTypeDate, Name, ConvertDefaultBehaviorTag>
    : DateTimeTransformImpl<DataTypeUInt64, DataTypeDate, ToDateTransform32Or64<UInt64, UInt16>> {};
template <typename Name> struct ConvertImpl<DataTypeInt8, DataTypeDate, Name, ConvertDefaultBehaviorTag>
    : DateTimeTransformImpl<DataTypeInt8, DataTypeDate, ToDateTransform8Or16Signed<Int8, UInt16>> {};
template <typename Name> struct ConvertImpl<DataTypeInt16, DataTypeDate, Name, ConvertDefaultBehaviorTag>