NumPy 2.x incompatibility: scalar conversion error in crossover probability update

[BenjaminZoller]

I am using numpy 2.4.1 and get:

Traceback (most recent call last):
File ".../site-packages/pydream/Dream.py", line 468, in estimate_crossover_probabilities
m_loc = int(np.where(self.CR_values == CR)[0])
TypeError: only 0-dimensional arrays can be converted to Python scalars

With NumPy ≥ 2.0, np.where(...)[0] returns a 1-D array (e.g. array([1])), and int(array([1])) raises:
TypeError: only 0-dimensional arrays can be converted to Python scalars

Proposed fix:

• m_loc = int(np.where(self.CR_values == CR)[0])

• m_loc = np.where(self.CR_values == CR)[0].item()