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`

WhichDataType which(from_type_index);
        bool can_apply_accurate_cast = (cast_type == CastType::accurate || cast_type == CastType::accurateOrNull)
            && (which.isInt() || which.isUInt() || which.isFloat());
        if (requested_result_is_nullable && checkAndGetDataType<DataTypeString>(from_type.get()))
        {
            
            
            FunctionPtr function = FunctionConvertFromString<ToDataType, FunctionName, ConvertFromStringExceptionMode::Null>::create();
            return createFunctionAdaptor(function, from_type);
        }
        else if (!can_apply_accurate_cast)
        {
            FunctionPtr function = FunctionTo<ToDataType>::Type::create();
            return createFunctionAdaptor(function, from_type);
        }
        auto wrapper_cast_type = cast_type;
        return [wrapper_cast_type, from_type_index, to_type]
            (ColumnsWithTypeAndName & arguments, const DataTypePtr & result_type, const ColumnNullable *column_nullable, size_t input_rows_count)
        {
            ColumnPtr result_column;
            auto res = callOnIndexAndDataType<ToDataType>(from_type_index, [&](const auto & types) -> bool {
                using Types = std::decay_t<decltype(types)>;
                using LeftDataType = typename Types::LeftType;
                using RightDataType = typename Types::RightType;
                if constexpr (IsDataTypeNumber<LeftDataType> && IsDataTypeNumber<RightDataType>)
                {
                    if (wrapper_cast_type == CastType::accurate)
                    {
                        result_column = ConvertImpl<LeftDataType, RightDataType, FunctionName>::execute(
                            arguments, result_type, input_rows_count, AccurateConvertStrategyAdditions());