Timeplus-connect

Bug Fixes
* Ignore all "transport settings" when validating settings. This should fix https://github.com/ClickHouse/clickhouse-connect/issues/80
for older ClickHouse versions

New Features
* The get_client method now accepts a http_adapter parameter to allow sharing a requests.HTTPAdapter (and its associated
connection pool) across multiple clients.
* The VERSION file is now included in every package installation. Closes https://github.com/ClickHouse/clickhouse-connect/issues/76

New Features
* Global/common configuration options are now available in the `clickhouse_connect.common` module. The available settings are:
* `autogenerate_session_id` [bool] Whether to generate a UUID1 session id used for every client request. Defaults to True. Disabling this can facilitate client sharing and load balancing in some use cases.
* `dict_parameter_format` [str] Options are 'json' and 'map'. This controls whether parameterized queries convert a Python dictionary to JSON or ClickHouse Map syntax. Default to `json` for insert into Object('json') columns.
* `invalid_setting_action` [str] Options are 'send' and 'drop'. Client Connect normally validates and drops (with a warning any settings that aren't recognized by the Server or are readonly).
Changing this setting to 'send' will include such settings with the request anyway -- which will normally result in an error being returned.
* The `clickhouse_connect.get_client` method now accepts a `settings` dictionary argument for consistency with other client methods.

Bug Fixes
* Fixed insert of Pandas Dataframes for Timestamp columns with timezones https://github.com/ClickHouse/clickhouse-connect/issues/77
* Fixed exception when inserting a Pandas Dataframes with NaType values into ClickHouse Float column (see known issue)

Known Issue
When inserting Pandas DataFrame values into a ClickHouse `Nullable(Float*)` column, a Float NaN value will be converted to a ClickHouse NULL.
This is a side effect of a Pandas issue where `df.replace` cannot distinguish between NaT and NaN values: https://github.com/pandas-dev/pandas/issues/29024

Bug Fixes
* Numpy array read and write compatibility has been refined and performance has been improved. This fixes https://github.com/ClickHouse/clickhouse-connect/issues/69
* Pandas Timestamp objects are now correctly handled for all supported ClickHouse Date* types. This fixes https://github.com/ClickHouse/clickhouse-connect/issues/68
* SQLAlchemy datatypes are now correctly mapped to the underlying ClickHouse type regardless of case. This fixes an issue with migrating Superset datasets and queries from
clickhouse-sqlalchemy to clickhouse-connect. Thanks to [Eugene Torap](https://github.com/EugeneTorap)

New Features
* The settings, table information, and insert progress used for client inserts has been centralized in a new reusable InsertContext object. Client insert methods can now accept such objects to simplify code and reduce overhead
* Query results can now be returned in a column oriented format. This is useful to efficiently construct other objects (like Pandas dataframes) that use column storage internally
* The transformation of Pandas data to Python types now bypasses Numpy. As a result compatibility for ClickHouse date, integer, and NULL types has been significantly improved

Bug Fixes
* An insert using chunked transfer encode could fail in progress during serialization to ClickHouse native format. This would "hang" the request after throwing the exception, leading to ClickHouse reporting
"concurrent session" errors. This has been fixed.
* Pandas DataFrame inserts into tables with a "large" integer column would throw an exception. This has been fixed.
* Pandas DataFrame inserts with NaT/NA/nan values would fail, even if inserted into Nullable column types. This has been fixed.

Known Issues
* Numpy inserts into large integer columns are not supported. https://github.com/ClickHouse/clickhouse-connect/issues/69
* Insert of Pandas timestamps with nanosecond precision will lose the nanosecond value. https://github.com/ClickHouse/clickhouse-connect/issues/68

Bug Fixes
* Fix read compression typo