From e290506f141147f04d2cc74f3c0c6bb8a3e270a8 Mon Sep 17 00:00:00 2001
From: Jerry <aca.jerryh@gmail.com>
Date: Wed, 30 Oct 2024 21:05:52 -0400
Subject: [PATCH] Fixed linting from plot_utils

---
 bayesflow/utils/plot_utils.py | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/bayesflow/utils/plot_utils.py b/bayesflow/utils/plot_utils.py
index 402a61e0..08e75078 100644
--- a/bayesflow/utils/plot_utils.py
+++ b/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."
         )