diff --git a/.gitignore b/.gitignore
index dafb4a21b..a0ae60f27 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,6 +4,7 @@
 /docs/docs/tutorial/*
 /docs/docs/examples/*
 /docs/site/*
+/sbi/_version.py
 
 # Development files and python cache
 /*.pyc
diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 8e503289b..6c89caa02 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -8,7 +8,7 @@ repos:
         hooks:
         - id: isort
     -   repo: https://github.com/ambv/black
-        rev: 23.3.0
+        rev: 24.2.0
         hooks:
         - id: black
-          language_version: python3.8
\ No newline at end of file
+          language_version: python3
\ No newline at end of file
diff --git a/.vscode/.ropeproject/config.py b/.vscode/.ropeproject/config.py
index 0b2a31694..c339bc796 100644
--- a/.vscode/.ropeproject/config.py
+++ b/.vscode/.ropeproject/config.py
@@ -113,9 +113,9 @@ def set_prefs(prefs):
     # listed in module rope.base.oi.type_hinting.providers.interfaces
     # For example, you can add you own providers for Django Models, or disable
     # the search type-hinting in a class hierarchy, etc.
-    prefs[
-        "type_hinting_factory"
-    ] = "rope.base.oi.type_hinting.factory.default_type_hinting_factory"
+    prefs["type_hinting_factory"] = (
+        "rope.base.oi.type_hinting.factory.default_type_hinting_factory"
+    )
 
 
 def project_opened(project):
diff --git a/pyproject.toml b/pyproject.toml
index 0fe5d9940..1ff9abbd3 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -76,7 +76,7 @@ tracker = "https://github.com/sbi-dev/sbi/issues"
 
 [tool.black]
 line-length = 88
-target-version = ['py37', 'py38', 'py39', 'py310', 'py311', 'py312']
+target-version = ['py37', 'py38', 'py39', 'py310', 'py311']
 include = '\.pyi?$|\.ipynb$'
 extend-exclude = '''
 /(
@@ -92,24 +92,7 @@ include_trailing_comma = true
 use_parentheses = true
 skip_glob = [".ipynb_checkpoints", "docs/*"]
 known_first_party=["sbi", "tests", "examples", "tutorials"]
-known_third_party = [
-    "arviz",
-    "joblib",
-    "matplotlib",
-    "numpy",
-    "pyknos",
-    "pyro",
-    "pytest",
-    "scipy",
-    "setuptools",
-    "six",
-    "sklearn",
-    "tensorboard",
-    "torch",
-    "torchtestcase",
-    "tqdm",
-    "typing_extensions",
-]
+known_third_party = ["arviz", "joblib", "matplotlib", "numpy", "pyknos", "pyro", "pytest", "scipy", "six", "sklearn", "tensorboard", "torch", "torchtestcase", "tqdm", "typing_extensions"]
 multi_line_output = 3
 
 [tool.flake8]
diff --git a/sbi/_version.py b/sbi/_version.py
deleted file mode 100644
index 2d3e45228..000000000
--- a/sbi/_version.py
+++ /dev/null
@@ -1,16 +0,0 @@
-# file generated by setuptools_scm
-# don't change, don't track in version control
-TYPE_CHECKING = False
-if TYPE_CHECKING:
-    from typing import Tuple, Union
-    VERSION_TUPLE = Tuple[Union[int, str], ...]
-else:
-    VERSION_TUPLE = object
-
-version: str
-__version__: str
-__version_tuple__: VERSION_TUPLE
-version_tuple: VERSION_TUPLE
-
-__version__ = version = '0.22.1.dev15+gc1e9977.d20240213'
-__version_tuple__ = version_tuple = (0, 22, 1, 'dev15', 'gc1e9977.d20240213')
diff --git a/sbi/inference/__init__.py b/sbi/inference/__init__.py
index dcece8f7c..8dc9f50d5 100644
--- a/sbi/inference/__init__.py
+++ b/sbi/inference/__init__.py
@@ -13,12 +13,8 @@
 
 from sbi.inference.abc.mcabc import MCABC
 from sbi.inference.abc.smcabc import SMCABC
-from sbi.inference.base import (  # noqa: F401
-    NeuralInference,
-    check_if_proposal_has_default_x,
-    infer,
-    simulate_for_sbi,
-)
+from sbi.inference.base import NeuralInference  # noqa: F401
+from sbi.inference.base import check_if_proposal_has_default_x, infer, simulate_for_sbi
 from sbi.inference.snle.mnle import MNLE
 from sbi.inference.snle.snle_a import SNLE_A
 from sbi.inference.snpe.snpe_a import SNPE_A
diff --git a/sbi/neural_nets/classifier.py b/sbi/neural_nets/classifier.py
index 31bb7a8e8..4000f86ff 100644
--- a/sbi/neural_nets/classifier.py
+++ b/sbi/neural_nets/classifier.py
@@ -89,7 +89,7 @@ def build_linear_classifier(
     z_score_y: Optional[str] = "independent",
     embedding_net_x: nn.Module = nn.Identity(),
     embedding_net_y: nn.Module = nn.Identity(),
-    **kwargs
+    **kwargs,
 ) -> nn.Module:
     """Builds linear classifier.