* feat: support snake-case style Python QCAlgorithm implementations
* feat: add unit tests and minor fixes
* feat: implement new BasePythonWrapper class for python wrappers.
Used to cache methods and contains invoke functionality
* feat: make python wrappers implement the new base class for pep8 style support
* feat: keep overriden methods in Algorithm Python Wrapper
* feat: add unit tests for custom models algorithms with PEP8 style
* Bump pythonnet version to 2.0.30
* fix bugs and address peer review
* Address peer review
* Minor revert
* feat: StubsIgnoreAttribute for ignoring members or classes by the stubs generator
* Minor fixes
* Minor fix
* Minor fix
* Bump pythonnet version to 2.0.31
* Added Greeks.Lambda_ alias of Lambda for python compatibility.
Remove unused method
- Adding new unit test for python PCM implementations, asserting each
method is correctly called
- Reverting some unrequired changes in the
`MeanVarianceOptimizationFrameworkAlgorithm`
- Refactor shared logic from `EqualWeightingPortfolioConstructionModel`
into base `PortfolioConstructionModel` implementation
- `MeanVarianceOptimizationPortfolioConstructionModel` will respect
rebalancing period and will use all active inisights, not just the last
- Adding _some_ of the missing PyObject.Dispose calls. In the cases
where C# is calling the Python side.
- Note that Python calls to C# code is correctly handling the
disposure of resources.
- 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.
Jhonathan Abreu