* Centralize Python/C# model detection logic
* Improve helper method
* Remove unnecessary conditionals
* Fix unit tests
* Refactor QCAlgorithm.python.cs to use the new helper method for models
* Solve review comments
* Clean up Python wrapper exception
* Update XML comments to better describe T and TWrapper in CreateModelOrWrapper
* Join unit tests in TestCases
* Solve review comments
* Replace manual TryConvert checks with CreateInstanceOrWrapper helper
- Implementing `QCAlgorithm.AddUniverseSelectionModel`
- Adding C#/Py regression algorithms using the new API
- Modifying `ManualUniverSelectionModels` symbol, adding hash of
the selected `Symbol.Values`
- Modifying `Coarse` and `Fine` symbol, adding random GUID
- Adding `NullUniverseSelectionModel`
- Adding new `CompositeAlphaModel.AddAlphaModel()`
- Adding C#/Py regression algorithms using the new `QCAlgorith.AddAlphaModel()`
- Improving exception message
- Add python version of `QCAlgorith.AddAlphaModel()`
- Removing `using QCAlgorithmFramework = QuantConnect.Algorithm.QCAlgorithm`
- Removing `QCAlgorithmFrameworkBridge`
- Removing `IsFrameworkAlgorithm`
- Making `EmitInsightBasedOnFill` private. Adding new
`IOrderEventProvider` exposing an `event` to which `QCAlgorithm` will
subscribe.
- `AccountType.Cash` algorithms will be allowed to manually trade and
emight insights manually or with alpha model.
JosueNina