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
static IFunction::Monotonicity get(const IDataType & type, const Field &, const Field &)
    {
        if (type.isValueRepresentedByNumber())
            return { .is_monotonic = true, .is_always_monotonic = true };
        else
            return {};
    }
};
/** The monotonicity for the `toString` function is mainly determined for test purposes.
  * It is doubtful that anyone is looking to optimize queries with conditions `toString(CounterID) = 34`.
  */
struct ToStringMonotonicity
{
    static bool has() { return true; }
    static IFunction::Monotonicity get(const IDataType & type, const Field & left, const Field & right)