Clickhouse-connect

Bug Fix
- Fixed client side binding for complex types containing floats or integers that was broken in version 0.7.5.
Closes https://github.com/ClickHouse/clickhouse-connect/issues/335.
Improvement
- Added a `raw_stream` method to the Client the returns an io.Base. Use this instead of the `raw_query` method
with the (now removed) optional `stream` keyword boolean. Thanks to [Martijn Thé](https://github.com/martijnthe) for
the PR that highlighted the somewhat messy public API.

Bug Fix
- Fixed issue with SQLAlchemy Point type. Closes https://github.com/ClickHouse/clickhouse-connect/issues/332.

Bug Fixes
- Fixed client side binding for Python format strings using `%d` (int) and `%f` (float) format patterns. Closes
https://github.com/ClickHouse/clickhouse-connect/issues/327
- Allows empty `data` argument in the initializer of `ExternalFile` / `ExternalData` objects. Thanks to
[martijnthe](https://github.com/martijnthe) for the PR!

Improvement
- Added the new client method `query_arrow_stream` for streaming PyArrow queries from ClickHouse. Big thanks to
[NotSimone](https://github.com/NotSimone) for the feature and tests! Closes https://github.com/ClickHouse/clickhouse-connect/issues/155.

Improvement
- Add summary field to Cursor object to retrieve the result of 'X-Clickhouse-Summary' header. Thanks to
[elchyn-cheliabiyeu](https://github.com/elchyn-cheliabiyeu) for the PR!

Bug Fixes
- Inserts into columns with multibyte UTF-8 names were broken. This has been fixed. https://github.com/ClickHouse/clickhouse-connect/issues/312
- If the result of applying the precedence of timezones to a column results in an explicit UTC timezone, the datetime object returned
should now be timezone naive. This should make the behavior consistent with the [documentation](https://clickhouse.com/docs/en/integrations/python#time-zones).
Closes https://github.com/ClickHouse/clickhouse-connect/issues/308 (except for a documentation update)
- Extraneous semicolons are automatically removed from the end of queries. Addresses the most basic behavior in https://github.com/ClickHouse/clickhouse-connect/issues/310.

Performance Improvement
- Pandas DataFrame returned from the client `query_df` method should be constructed somewhat faster in cases where the data returned in ClickHouse
is in many small blocks. Note that performance gains in this use case are somewhat limited because of the memory and copying cost of
building a large DataFrame from many smaller ClickHouse Native block structures, so such performance problems should normally be addressed at the
query or ClickHouse data storage level (by for example, reducing the number of partitions and/or shards referenced by the query). This may partially
address https://github.com/ClickHouse/clickhouse-connect/issues/307.