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`

for (auto & type : to_types)
        {
            if (isTuple(type) || isNested(type))
                throw Exception(ErrorCodes::TYPE_MISMATCH,
                    "Cast to Object can be performed only from flatten Named Tuple. Got: {}",
                    from_tuple.getName());
            type = recursiveRemoveLowCardinality(type);
        }
        return [element_wrappers = getElementWrappers(from_types, to_types),
            has_nullable_subcolumns, from_types, to_types, paths]
            (ColumnsWithTypeAndName & arguments, const DataTypePtr &, const ColumnNullable * nullable_source, size_t input_rows_count)
        {
            size_t tuple_size = to_types.size();
            auto flattened_column = flattenTuple(arguments.front().column);
            const auto & column_tuple = assert_cast<const ColumnTuple &>(*flattened_column);
            if (tuple_size != column_tuple.getColumns().size())
                throw Exception(ErrorCodes::TYPE_MISMATCH,
                    "Expected tuple with {} subcolumn, but got {} subcolumns",
                    tuple_size, column_tuple.getColumns().size());
            auto res = ColumnObject::create(has_nullable_subcolumns);
            for (size_t i = 0; i < tuple_size; ++i)
            {
                ColumnsWithTypeAndName element = {{column_tuple.getColumns()[i], from_types[i], "" }};
                auto converted_column = element_wrappers[i](element, to_types[i], nullable_source, input_rows_count);
                res->addSubcolumn(paths[i], converted_column->assumeMutable());
            }
            return res;
        };
    }
    WrapperType createMapToObjectWrapper(const DataTypeMap & from_map, bool has_nullable_subcolumns) const