diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 383cbc5c..cccf6264 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -3,7 +3,7 @@ default_language_version:
 
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v4.1.0
+    rev: v4.3.0
     hooks:
       # list of supported hooks: https://pre-commit.com/hooks.html
       - id: trailing-whitespace
@@ -24,7 +24,7 @@ repos:
             "satflow",
           ]
   - repo: https://github.com/PyCQA/flake8
-    rev: 4.0.1
+    rev: 5.0.4
     hooks:
       - id: flake8
         args:
@@ -42,14 +42,14 @@ repos:
       - id: isort
         args: [--profile, black, --line-length, "100", "satflow"]
   - repo: https://github.com/psf/black
-    rev: 21.12b0
+    rev: 22.6.0
     hooks:
       - id: black
         args: [--line-length, "100"]
 
   # yaml formatting
   - repo: https://github.com/pre-commit/mirrors-prettier
-    rev: v2.5.1
+    rev: v2.7.1
     hooks:
       - id: prettier
         types: [yaml]
diff --git a/satflow/models/gan/discriminators.py b/satflow/models/gan/discriminators.py
index ffc3e2a6..96b989b7 100644
--- a/satflow/models/gan/discriminators.py
+++ b/satflow/models/gan/discriminators.py
@@ -170,7 +170,7 @@ def __init__(
         nf_mult_prev = 1
         for n in range(1, n_layers):  # gradually increase the number of filters
             nf_mult_prev = nf_mult
-            nf_mult = min(2 ** n, 8)
+            nf_mult = min(2**n, 8)
             if conv_type == "antialiased":
                 block = [
                     conv2d(
@@ -201,7 +201,7 @@ def __init__(
             sequence += block
 
         nf_mult_prev = nf_mult
-        nf_mult = min(2 ** n_layers, 8)
+        nf_mult = min(2**n_layers, 8)
         sequence += [
             conv2d(
                 ndf * nf_mult_prev,
diff --git a/satflow/models/gan/generators.py b/satflow/models/gan/generators.py
index b2d92e90..2e2ded7e 100644
--- a/satflow/models/gan/generators.py
+++ b/satflow/models/gan/generators.py
@@ -113,7 +113,7 @@ def __init__(
 
         n_downsampling = 2
         for i in range(n_downsampling):  # add downsampling layers
-            mult = 2 ** i
+            mult = 2**i
             if conv_type == "antialiased":
                 block = [
                     conv2d(
@@ -144,7 +144,7 @@ def __init__(
 
             model += block
 
-        mult = 2 ** n_downsampling
+        mult = 2**n_downsampling
         for i in range(n_blocks):  # add ResNet blocks
 
             model += [
diff --git a/satflow/models/layers/Attention.py b/satflow/models/layers/Attention.py
index 49b10aa8..ef543152 100644
--- a/satflow/models/layers/Attention.py
+++ b/satflow/models/layers/Attention.py
@@ -122,7 +122,7 @@ def __init__(self, in_dim, activation=F.relu, pooling_factor=2):  # TODO for bet
         self.value_conv = nn.Conv3d(in_channels=in_dim, out_channels=in_dim, kernel_size=1)
 
         self.pooling = nn.MaxPool3d(kernel_size=2, stride=pooling_factor)
-        self.pooling_factor = pooling_factor ** 3
+        self.pooling_factor = pooling_factor**3
 
         self.gamma = nn.Parameter(torch.zeros(1))
 
diff --git a/satflow/models/layers/Discriminator.py b/satflow/models/layers/Discriminator.py
index bea39e3c..097fa5d3 100644
--- a/satflow/models/layers/Discriminator.py
+++ b/satflow/models/layers/Discriminator.py
@@ -168,7 +168,7 @@ def __init__(
     ):
         super().__init__()
 
-        gain = 2 ** 0.5
+        gain = 2**0.5
 
         self.conv0 = SpectralNorm(
             nn.Conv2d(
@@ -329,7 +329,7 @@ def __init__(
     ):
         super().__init__()
 
-        gain = 2 ** 0.5
+        gain = 2**0.5
 
         self.conv0 = SpectralNorm(
             nn.Conv3d(
@@ -393,7 +393,7 @@ class TemporalDiscriminator(nn.Module):
     def __init__(self, chn=128, n_class=4):
         super().__init__()
 
-        gain = 2 ** 0.5
+        gain = 2**0.5
 
         self.pre_conv = nn.Sequential(
             SpectralNorm(nn.Conv3d(3, 2 * chn, 3, padding=1)),