Nightly latest dependencies notebooks tests failed (ubuntu-latest Python 3.13)

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Python 3.13 Test Summary

examples/notebooks/comparison_examples/optimiser_calibration.ipynb::optimiser_calibration.ipynb: ---------------------------------------------------------------------------
result = optim.run()

print("True values:", true_values)
print("Estimates:", result.x)
---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
Cell In[6], line 1
----> 1 result = optim.run()
      2 
      3 print("True values:", true_values)
      4 print("Estimates:", result.x)

File ~/work/PyBOP/PyBOP/pybop/optimisers/base_optimiser.py:150, in BaseOptimiser.run(self)
    148         self.problem.parameters.update(initial_values=initial_values)
    149         self._set_up_optimiser()
--> 150     results.append(self._run())
    152 result = OptimisationResult.combine(results)
    154 if self.options.verbose:

File ~/work/PyBOP/PyBOP/pybop/optimisers/base_pints_optimiser.py:388, in BasePintsOptimiser._run(self)
    385 # Log the optimised result as the final evaluation
    386 self._evaluator.evaluate([x])
--> 388 return OptimisationResult(
    389     optim=self,
    390     time=total_time,
    391     method_name=self.name,
    392     message=halt_message,
    393 )

File ~/work/PyBOP/PyBOP/pybop/optimisers/base_optimiser.py:190, in OptimisationResult.__init__(self, optim, time, method_name, message, scipy_result)
    182 def __init__(
    183     self,
    184     optim: BaseOptimiser,
   (...)    188     scipy_result=None,
    189 ):
--> 190     super().__init__(
    191         problem=optim.problem,
    192         logger=optim.logger,
    193         time=time,
    194         method_name=method_name,
    195         message=message,
    196         scipy_result=scipy_result,
    197     )

File ~/work/PyBOP/PyBOP/pybop/_result.py:57, in Result.__init__(self, problem, logger, time, method_name, message, scipy_result)
     54 self._scipy_result = [scipy_result]
     55 self._time = [time]
---> 57 self._validate()

File ~/work/PyBOP/PyBOP/pybop/_result.py:127, in Result._validate(self)
    125 def _validate(self):
    126     """Check that there is a finite cost and update best run."""
--> 127     self._check_for_finite_cost()
    128     if self._minimising:
    129         self._best_run = self._best_cost.index(min(self._best_cost))

File ~/work/PyBOP/PyBOP/pybop/_result.py:141, in Result._check_for_finite_cost(self)
    134 """
    135 Validate the optimised parameters and ensure they produce a finite cost value.
    136 
    137 Raises:
    138     ValueError: If the optimised parameters do not produce a finite cost value.
    139 """
    140 if not any(np.isfinite(self._best_cost)):
--> 141     raise ValueError(
    142         f"Optimised parameters {self._problem.parameters.to_dict(self._x[-1])} do not produce a finite cost value."
    143     )

ValueError: Optimised parameters {'Negative electrode active material volume fraction': np.float64(0.5), 'Positive electrode active material volume fraction': np.float64(0.5)} do not produce a finite cost value.