From 6cc008f8417db60bfef991df5ecfd2861d31aa71 Mon Sep 17 00:00:00 2001
From: Artur Glavic <artur.glavic@psi.ch>
Date: Thu, 9 Jul 2026 10:27:24 +0200
Subject: [PATCH] Update revision for release

---
 eos/event_handling.py | 31 ++++++++++++++++---------------
 1 file changed, 16 insertions(+), 15 deletions(-)

diff --git a/eos/event_handling.py b/eos/event_handling.py
index 4f0437c..bcd42c8 100644
--- a/eos/event_handling.py
+++ b/eos/event_handling.py
@@ -197,18 +197,19 @@ class ApplyMask(EventDataAction):
         logging.info(f'      number of events: total = {pre_filter:7d}, after filtering = {post_filter:7d}')
         if d.device_logs == {} or not hasattr(dataset, 'update_info_from_logs'):
             return
-        # filter pulses and logs to allow update of header information
-        from .helpers import add_log_to_pulses
-        times = np.unique(d.events.wallTime)
-        # make sure all log variables are associated with pulses
-        for key, log in d.device_logs.items():
-            if not key in d.pulses.dtype.names:
-                # interpolate the parameter values for all existing pulses
-                add_log_to_pulses(key, dataset)
-        # remove all pulses that have no more events
-        d.pulses = d.pulses[np.isin(d.pulses.time, times)]
-        for key, log in d.device_logs.items():
-            d.device_logs[key] = np.recarray(d.pulses.shape, dtype = log.dtype)
-            d.device_logs[key].time = d.pulses.time
-            d.device_logs[key].value = d.pulses[key]
-        dataset.update_info_from_logs()
+        if 'wallTime' in d.events.dtype.names:
+            # filter pulses and logs to allow update of header information
+            from .helpers import add_log_to_pulses
+            times = np.unique(d.events.wallTime)
+            # make sure all log variables are associated with pulses
+            for key, log in d.device_logs.items():
+                if not key in d.pulses.dtype.names:
+                    # interpolate the parameter values for all existing pulses
+                    add_log_to_pulses(key, dataset)
+            # remove all pulses that have no more events
+            d.pulses = d.pulses[np.isin(d.pulses.time, times)]
+            for key, log in d.device_logs.items():
+                d.device_logs[key] = np.recarray(d.pulses.shape, dtype = log.dtype)
+                d.device_logs[key].time = d.pulses.time
+                d.device_logs[key].value = d.pulses[key]
+            dataset.update_info_from_logs()