Missing numpy floats overloads

[jhonabreul]

Explore whether to add an overload for methods that take a Python float, but with numpy.float64.
Current numpy version used is 1.26.4, where float64 does not implement float. On latest version, float64 inherits float so this is not an issue.

Another potential solution is incrementing numpy version in Lean foundation.

See SetHoldingsRegressionAlgorithm: self.set_holdings("SPY", np.float64(0.30)):

MyPy output:

SetHoldingsRegressionAlgorithm.py_fc6y_lsj:39: error: No overload variant of "set_holdings" of "QCAlgorithm" matches argument types "str", "floating[_64Bit]"  [call-overload]
SetHoldingsRegressionAlgorithm.py_fc6y_lsj:39: note: Possible overload variants:
SetHoldingsRegressionAlgorithm.py_fc6y_lsj:39: note:     def set_holdings(self, targets: list[PortfolioTarget], liquidate_existing_holdings: bool = ..., tag: str = ..., order_properties: IOrderProperties = ...) -> list[OrderTicket]
SetHoldingsRegressionAlgorithm.py_fc6y_lsj:39: note:     def set_holdings(self, symbol: Symbol | str | BaseContract, percentage: float, liquidate_existing_holdings: bool = ..., tag: str = ..., order_properties: IOrderProperties = ...) -> list[OrderTicket]
SetHoldingsRegressionAlgorithm.py_fc6y_lsj:39: note:     def set_holdings(self, symbol: Symbol | str | BaseContract, percentage: int, liquidate_existing_holdings: bool = ..., tag: str = ..., order_properties: IOrderProperties = ...) -> list[OrderTicket]