Fix typo

Author: han-ol

bayesflow/approximators/continuous_approximator.py

@@ -338,7 +338,7 @@ def _sample(
             **filter_kwargs(kwargs, self.inference_network.sample),
         )
 
-    def log_prob(self, data: dict[str, np.ndarray], **kwargs) -> np.ndarray | dict(str, np.ndarray):
+    def log_prob(self, data: dict[str, np.ndarray], **kwargs) -> np.ndarray | dict[str, np.ndarray]:
         """
         Computes the log-probability of given data under the model. The `data` dictionary is preprocessed using the
         `adapter`. Log-probabilities are returned as NumPy arrays.
@@ -368,7 +368,7 @@ def _log_prob(
         inference_conditions: Tensor = None,
         summary_variables: Tensor = None,
         **kwargs,
-    ) -> Tensor | dict(str, Tensor):
+    ) -> Tensor | dict[str, Tensor]:
         if self.summary_network is None:
             if summary_variables is not None:
                 raise ValueError("Cannot use summary variables without a summary network.")