From c91157a847db7e8c86de67bbddead534b3673ca8 Mon Sep 17 00:00:00 2001
From: Lindsey Gray <lindsey.gray@gmail.com>
Date: Fri, 2 Aug 2024 08:54:58 -0500
Subject: [PATCH] comments

---
 src/correctionlib/highlevel.py | 18 +++++++-----------
 1 file changed, 7 insertions(+), 11 deletions(-)

diff --git a/src/correctionlib/highlevel.py b/src/correctionlib/highlevel.py
index 2993b21..b8c770e 100644
--- a/src/correctionlib/highlevel.py
+++ b/src/correctionlib/highlevel.py
@@ -231,16 +231,14 @@ def evaluate(
                 for arg in args
                 if not isinstance(arg, (str, int, float))
             ]
-        except NotImplementedError as err:
+        except NotImplementedError:
             if any(str(type(arg)).startswith("<class 'dask_awkward.") for arg in args):
                 return _wrap_dask_awkward(self, *args)  # type: ignore
-            raise err
-        except (ValueError, TypeError) as err:
+            raise
+        except (ValueError, TypeError):
             if any(str(type(arg)).startswith("<class 'awkward.") for arg in args):
                 return _wrap_awkward(self._base.evalv, *args)  # type: ignore
-            raise err
-        except Exception as err:
-            raise err
+            raise
 
         if vargs:
             bargs = numpy.broadcast_arrays(*vargs)
@@ -311,16 +309,14 @@ def evaluate(
                 for arg in args
                 if not isinstance(arg, (str, int, float))
             ]
-        except NotImplementedError as err:
+        except NotImplementedError:
             if any(str(type(arg)).startswith("<class 'dask_awkward.") for arg in args):
                 return _wrap_dask_awkward(self, *args)  # type: ignore
-            raise err
+            raise
         except (ValueError, TypeError) as err:
             if any(str(type(arg)).startswith("<class 'awkward.") for arg in args):
                 return _wrap_awkward(self._base.evalv, *args)  # type: ignore
-            raise err
-        except Exception as err:
-            raise err
+            raise
 
         if vargs:
             bargs = numpy.broadcast_arrays(*vargs)