Fix cryptic error on smb, plus numpy==2.0 compatibility (#203)

* Adds a check and a more helpful error for SMB

* Updates SMB to numpy 2.0

src/poli/objective_repository/super_mario_bros/isolated_function.py

@@ -58,15 +58,15 @@ class SMBIsolatedLogic(AbstractIsolatedFunction):
         Runs the given input x as a flattened level (14x14)
         through the model and returns the number
         of jumps Mario makes in the level. If the
-        level is not solvable, returns np.NaN.
+        level is not solvable, returns np.nan.
     """
 
     def __init__(
         self,
         alphabet: List[str] = smb_info.alphabet,
         max_time: int = 30,
         visualize: bool = False,
-        value_on_unplayable: float = np.NaN,
+        value_on_unplayable: float = np.nan,
     ):
         self.alphabet = alphabet
         self.alphabet_s_to_i = {s: i for i, s in enumerate(alphabet)}
@@ -92,8 +92,15 @@ def __call__(self, x: np.ndarray, context=None) -> np.ndarray:
                 level, max_time=self.max_time, visualize=self.visualize
             )
 
+            if not isinstance(res, dict):
+                raise ValueError(
+                    "Something probably went wrong with the Java simulation "
+                    "of the level. It is quite likely you haven't set up a "
+                    "virtual screen/frame buffer. Check the docs."
+                )
+
             # Return the number of jumps if the level was
-            # solved successfully, else return np.NaN
+            # solved successfully, else return np.nan
             if res["marioStatus"] == 1:
                 jumps = res["jumpActionsPerformed"]
             else:

src/poli/objective_repository/super_mario_bros/register.py

@@ -57,14 +57,14 @@ class SuperMarioBrosBlackBox(AbstractBlackBox):
         Runs the given input x as a latent code
         through the model and returns the number
         of jumps Mario makes in the level. If the
-        level is not solvable, returns np.NaN.
+        level is not solvable, returns np.nan.
     """
 
     def __init__(
         self,
         max_time: int = 30,
         visualize: bool = False,
-        value_on_unplayable: float = np.NaN,
+        value_on_unplayable: float = np.nan,
         batch_size: int = None,
         parallelize: bool = False,
         num_workers: int = None,
@@ -146,7 +146,7 @@ def create(
         self,
         max_time: int = 30,
         visualize: bool = False,
-        value_on_unplayable: float = np.NaN,
+        value_on_unplayable: float = np.nan,
         seed: int = None,
         batch_size: int = None,
         parallelize: bool = False,