black formatted files before changes

Deep-SAD-PyTorch/src/networks/inference/distributions.py

@@ -11,7 +11,7 @@ def log_standard_gaussian(x):
     :param x: point to evaluate
     :return: log N(x|0,I)
     """
-    return torch.sum(-0.5 * math.log(2 * math.pi) - x ** 2 / 2, dim=-1)
+    return torch.sum(-0.5 * math.log(2 * math.pi) - x**2 / 2, dim=-1)
 
 
 def log_gaussian(x, mu, log_var):
@@ -23,7 +23,11 @@ def log_gaussian(x, mu, log_var):
     :param log_var: log variance
     :return: log N(x|µ,σI)
     """
-    log_pdf = -0.5 * math.log(2 * math.pi) - log_var / 2 - (x - mu)**2 / (2 * torch.exp(log_var))
+    log_pdf = (
+        -0.5 * math.log(2 * math.pi)
+        - log_var / 2
+        - (x - mu) ** 2 / (2 * torch.exp(log_var))
+    )
     return torch.sum(log_pdf, dim=-1)