Hello!

I've started to use `DateTime64` recently and faced the next issue with `toDate()`/`toDate32()` functions.

This query works fine:
```sql
SELECT toDate('2022-07-26 00:00:00')

Query id: bf64d8a8-018d-4b3e-ae24-f92600a1fa15

┌─toDate('2022-07-26 00:00:00')─┐
│                    2022-07-26 │
└───────────────────────────────┘

1 rows in set. Elapsed: 0.003 sec.
```

But when the string representation of the timestamp has the milliseconds fraction the function does not work:
```sql
SELECT toDate('2022-07-26 00:00:00.000')

Query id: 8b42473a-0ceb-4892-b0e7-6f73f583d4b4


0 rows in set. Elapsed: 0.006 sec.

Received exception from server (version 22.3.8):
Code: 6. DB::Exception: Received from s:9000. DB::Exception: Cannot parse string '2022-07-26 00:00:00.000' as Date: syntax error at position 10 (parsed just '2022-07-26'): While processing toDate('2022-07-26 00:00:00.000'). (CANNOT_PARSE_TEXT)
```

The `toDate32()` doesn't work in both cases.

Yes, you can say I must change the input or use a workaround like this:
```sql
SELECT toDate(toDateTime64('2022-07-26 00:00:00.000', 3, 'UTC')) AS date
```

But it's not convenient and it'd be great if the mentioned functions will ignore the time part.

P.s. ClickHouse server version: `22.3.8.39`

if (requested_result_is_nullable)
                    {
                        
                        
                        
                        result_column = ConvertImpl<LeftDataType, RightDataType, FunctionName, ConvertReturnNullOnErrorTag>::execute(
                            arguments, result_type, input_rows_count, scale);
                        return true;
                    }
                }
                result_column = ConvertImpl<LeftDataType, RightDataType, FunctionName>::execute(arguments, result_type, input_rows_count, scale);
                return true;
            });
            
            if (!res)
            {
                if (wrapper_cast_type == CastType::accurateOrNull)
                {
                    auto nullable_column_wrapper = FunctionCast<FunctionName>::createToNullableColumnWrapper();
                    return nullable_column_wrapper(arguments, result_type, column_nullable, input_rows_count);
                }
                else
                    throw Exception(ErrorCodes::CANNOT_CONVERT_TYPE,
                        "Conversion from {} to {} is not supported",
                        type_index, to_type->getName());
            }
            return result_column;
        };
    }
    WrapperType createAggregateFunctionWrapper(const DataTypePtr & from_type_untyped, const DataTypeAggregateFunction * to_type) const