fix docstring

Author: arrjon

bayesflow/simulators/sequential_simulator.py

@@ -88,7 +88,7 @@ def _single_sample(self, batch_shape_ext, **kwargs) -> dict[str, np.ndarray]:
         return self.sample(batch_shape=(1, *tuple(batch_shape_ext)), **kwargs)
 
     def sample_parallel(
-        self, batch_shape: Shape, n_jobs: int = -1, verbose: int = 0, **kwargs
+        self, batch_shape: Shape, n_jobs: int = -1, verbose: int = 1, **kwargs
     ) -> dict[str, np.ndarray]:
         """
         Sample in parallel from the sequential simulator.
@@ -101,7 +101,7 @@ def sample_parallel(
         n_jobs : int, optional
             Number of parallel jobs. -1 uses all available cores. Default is -1.
         verbose : int, optional
-            Verbosity level for joblib. Default is 0 (no output).
+            Verbosity level for joblib. Default is 1 (minimal output).
         **kwargs
             Additional keyword arguments passed to each simulator. These may include previously
             sampled outputs used as inputs for subsequent simulators.

bayesflow/simulators/simulator.py

@@ -95,3 +95,8 @@ def accept_all_predicate(x):
             return np.full((sample_size,), True)
 
         return self.rejection_sample(batch_shape, predicate=accept_all_predicate, sample_size=sample_size, **kwargs)
+
+    def sample_parallel(
+        self, batch_shape: Shape, n_jobs: int = -1, verbose: int = 1, **kwargs
+    ) -> dict[str, np.ndarray]:
+        raise NotImplementedError