[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

src/scvi/external/decipher/_components.py

@@ -1,6 +1,5 @@
 from collections.abc import Sequence
 
-import numpy as np
 import torch
 import torch.nn as nn
 
@@ -52,9 +51,7 @@ def __init__(
         last_output_end_idx = 0
         self.output_slices = []
         for dim in self.output_dims:
-            self.output_slices.append(
-                slice(last_output_end_idx, last_output_end_idx + dim)
-            )
+            self.output_slices.append(slice(last_output_end_idx, last_output_end_idx + dim))
             last_output_end_idx += dim
 
         # Create masked layers
@@ -66,21 +63,15 @@ def __init__(
             batch_norms.append(nn.BatchNorm1d(hidden_dims[0]))
             for i in range(1, len(hidden_dims)):
                 layers.append(
-                    torch.nn.Linear(
-                        hidden_dims[i - 1] + deep_context_dim, hidden_dims[i]
-                    )
+                    torch.nn.Linear(hidden_dims[i - 1] + deep_context_dim, hidden_dims[i])
                 )
                 batch_norms.append(nn.BatchNorm1d(hidden_dims[i]))
 
             layers.append(
-                torch.nn.Linear(
-                    hidden_dims[-1] + deep_context_dim, self.output_total_dim
-                )
+                torch.nn.Linear(hidden_dims[-1] + deep_context_dim, self.output_total_dim)
             )
         else:
-            layers.append(
-                torch.nn.Linear(input_dim + context_dim, self.output_total_dim)
-            )
+            layers.append(torch.nn.Linear(input_dim + context_dim, self.output_total_dim))
 
         self.layers = torch.nn.ModuleList(layers)