more linting.

choderalab · Aug 26, 2024 · 4ed45db · 4ed45db
1 parent 185736d
commit 4ed45db
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diff --git a/pymbar/confidenceintervals.py b/pymbar/confidenceintervals.py
@@ -149,7 +149,7 @@ def qq_plot(replicates, K, title="Generic Q-Q plot", filename="qq.pdf"):
     dim = len(np.shape(replicates[0]["error"]))
     xvals = scipy.stats.norm.ppf((np.arange(0, N) + 0.5) / N)  # inverse pdf
     nplots = None  # keep lint happy when variables are defined in conditionals
-    
+
     if dim == 0:
         nplots = 1
     elif dim == 1:

diff --git a/pymbar/mbar.py b/pymbar/mbar.py
@@ -851,8 +851,8 @@ def compute_expectations_inner(
         K = self.K
         N = self.N  # N is total number of samples
         result_vals = dict()  # dictionary we will store uncertainties in
-        Theta_ij = None # keep lint happy when variables are defined in conditionals.
-        
+        Theta_ij = None  # keep lint happy when variables are defined in conditionals.
+
         # make observables all positive, allowing us to take the logarithm, which is
         # required to prevent overflow in some examples.
         # WARNING: one issue to watch for is if one of the energies is extremely