diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 2660a30e2..51dc01cb5 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -1,6 +1,6 @@
 repos:
   - repo: https://github.com/pre-commit/pre-commit-hooks
-    rev: v5.0.0  # Use the ref you want to point at
+    rev: v6.0.0  # Use the ref you want to point at
     hooks:
     - id: trailing-whitespace
     - id: check-ast
@@ -16,7 +16,7 @@ repos:
     - id: check-toml
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: 'v0.11.4'
+    rev: 'v0.15.6'
     hooks:
     - id: ruff
       args: [--fix, --exit-non-zero-on-fix]
@@ -25,7 +25,7 @@ repos:
       types_or: [python, jupyter]
 
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: v1.15.0
+    rev: v1.19.1
     hooks:
     - id: mypy
       entry: python3 -m mypy --config-file pyproject.toml
diff --git a/cyclops/monitor/utils.py b/cyclops/monitor/utils.py
index d990c5096..0fdcd2b42 100644
--- a/cyclops/monitor/utils.py
+++ b/cyclops/monitor/utils.py
@@ -289,7 +289,7 @@ def load_model(model_path: str) -> Any:
         loaded pre-trained model
 
     """
-    file_type = model_path.split(".")[-1]
+    file_type = model_path.rsplit(".", maxsplit=1)[-1]
     if file_type in ("pkl", "pickle"):
         with open(model_path, "rb") as file:
             model = pickle.load(file)
@@ -310,7 +310,7 @@ def save_model(model: Any, output_path: str) -> None:
         path to save the model to
 
     """
-    file_type = output_path.split(".")[-1]
+    file_type = output_path.rsplit(".", maxsplit=1)[-1]
     if file_type in ("pkl", "pickle"):
         with open(output_path, "wb") as file:
             pickle.dump(model, file)
diff --git a/cyclops/report/report.py b/cyclops/report/report.py
index 19f916581..9ffd29b0f 100644
--- a/cyclops/report/report.py
+++ b/cyclops/report/report.py
@@ -966,8 +966,9 @@ def log_performance_metrics(
         results: Dict[str, Any],
         metric_descriptions: Dict[str, str],
         pass_fail_thresholds: Union[float, Dict[str, float]] = 0.7,
-        pass_fail_threshold_fn: Callable[[float, float], bool] = lambda x,
-        threshold: bool(x >= threshold),
+        pass_fail_threshold_fn: Callable[[float, float], bool] = lambda x, threshold: (
+            bool(x >= threshold)
+        ),
     ) -> None:
         """
         Log all performance metrics to the model card report.
diff --git a/docs/source/tutorials/nihcxr/monitor_api.ipynb b/docs/source/tutorials/nihcxr/monitor_api.ipynb
index 53e9ebcd3..b6662ddda 100644
--- a/docs/source/tutorials/nihcxr/monitor_api.ipynb
+++ b/docs/source/tutorials/nihcxr/monitor_api.ipynb
@@ -25,7 +25,6 @@
    "source": [
     "\"\"\"NIHCXR Clinical Drift Experiments Tutorial.\"\"\"\n",
     "\n",
-    "\n",
     "import random\n",
     "\n",
     "import numpy as np\n",