Fixed linting from plot_utils

bayesflow/utils/plot_utils.py

@@ -25,28 +25,28 @@ def check_posterior_prior_shapes(post_samples, prior_samples):
 
     if len(post_samples.shape) != 3:
         raise ShapeError(
-            f"post_samples should be a 3-dimensional array, with the "
-            + f"first dimension being the number of (simulated) data sets, "
-            + f"the second dimension being the number of posterior draws per data set, "
-            + f"and the third dimension being the number of parameters (marginal distributions), "
+            "post_samples should be a 3-dimensional array, with the "
+            + "first dimension being the number of (simulated) data sets, "
+            + "the second dimension being the number of posterior draws per data set, "
+            + "and the third dimension being the number of parameters (marginal distributions), "
             + f"but your input has dimensions {len(post_samples.shape)}"
         )
     elif len(prior_samples.shape) != 2:
         raise ShapeError(
-            f"prior_samples should be a 2-dimensional array, with the "
-            + f"first dimension being the number of (simulated) data sets / prior draws "
-            + f"and the second dimension being the number of parameters (marginal distributions), "
+            "prior_samples should be a 2-dimensional array, with the "
+            + "first dimension being the number of (simulated) data sets / prior draws "
+            + "and the second dimension being the number of parameters (marginal distributions), "
             + f"but your input has dimensions {len(prior_samples.shape)}"
         )
     elif post_samples.shape[0] != prior_samples.shape[0]:
         raise ShapeError(
-            f"The number of elements over the first dimension of post_samples and prior_samples"
+            "The number of elements over the first dimension of post_samples and prior_samples"
             + f"should match, but post_samples has {post_samples.shape[0]} and prior_samples has "
             + f"{prior_samples.shape[0]} elements, respectively."
         )
     elif post_samples.shape[-1] != prior_samples.shape[-1]:
         raise ShapeError(
-            f"The number of elements over the last dimension of post_samples and prior_samples"
+            "The number of elements over the last dimension of post_samples and prior_samples"
             + f"should match, but post_samples has {post_samples.shape[1]} and prior_samples has "
             + f"{prior_samples.shape[-1]} elements, respectively."
         )