[pre-commit.ci] auto fixes from pre-commit.com hooks

for more information, see https://pre-commit.ci

Author: pre-commit-ci[bot]

mne/io/eyelink/_utils.py

@@ -325,19 +325,21 @@ def _create_dataframes(raw_extras, apply_offsets):
     df_dict["recording_blocks"] = pd.DataFrame(blocks, columns=cols)
 
     # make dataframes for other button events
-    if  raw_extras["event_lines"]["BUTTON"]:
+    if raw_extras["event_lines"]["BUTTON"]:
         button_events = raw_extras["event_lines"]["BUTTON"]
         parsed = []
         for entry in button_events:
-            parsed.append({
-                "onset": float(entry[0]),
-                "button_id": int(entry[1]),
-                "button_pressed": int(entry[2])  # 1 = press, 0 = release
-            })
+            parsed.append(
+                {
+                    "onset": float(entry[0]),
+                    "button_id": int(entry[1]),
+                    "button_pressed": int(entry[2]),  # 1 = press, 0 = release
+                }
+            )
         df_dict["buttons"] = pd.DataFrame(parsed)
     else:
         logger.info("No button events found in this file.")
-        
+
     return df_dict
 
 
@@ -429,7 +431,7 @@ def _assign_col_names(col_names, df_dict):
         elif key == "messages":
             cols = ["time", "offset", "event_msg"]
             df.columns = cols
-        #added for buttons
+        # added for buttons
         elif key == "buttons":
             cols = ["time", "button_id", "button_pressed"]
             df.columns = cols
@@ -694,7 +696,7 @@ def _make_eyelink_annots(df_dict, create_annots, apply_offsets):
             "pupil_right",
         ),
     }
-    valid_descs = ["blinks", "saccades", "fixations", "buttons", "messages" ]
+    valid_descs = ["blinks", "saccades", "fixations", "buttons", "messages"]
     msg = (
         "create_annotations must be True or a list containing one or"
         f" more of {valid_descs}."
@@ -737,17 +739,19 @@ def _make_eyelink_annots(df_dict, create_annots, apply_offsets):
             descriptions = df["event_msg"]
             this_annot = Annotations(
                 onset=onsets, duration=durations, description=descriptions
-            ) 
-        elif (key in ["buttons"]) and (key in descs):  
+            )
+        elif (key in ["buttons"]) and (key in descs):
             onsets = df["time"]
             durations = np.zeros_like(onsets)
             descriptions = df.apply(
-                lambda row: f"button_{int(row['button_id'])}_{'press' if row['button_pressed'] == 1 else 'release'}", axis=1)
+                lambda row: f"button_{int(row['button_id'])}_{'press' if row['button_pressed'] == 1 else 'release'}",
+                axis=1,
+            )
             this_annot = Annotations(
-                onset=onsets, duration= durations, description=descriptions
-            ) 
+                onset=onsets, duration=durations, description=descriptions
+            )
         else:
-            continue 
+            continue
         if not annots:
             annots = this_annot
         elif annots:

mne/io/eyelink/tests/test_eyelink.py

@@ -201,7 +201,7 @@ def _simulate_eye_tracking_data(in_file, out_file):
         "SAMPLES\tPUPIL\tLEFT\tVEL\tRES\tHTARGET\tRATE\t1000.00"
         "\tTRACKING\tCR\tFILTER\t2\tINPUT"
     )
-    
+
     # Define your known BUTTON events
     button_events = [
         (5488529, 1, 0),
@@ -213,7 +213,7 @@ def _simulate_eye_tracking_data(in_file, out_file):
         (5488571, 1, 0),
     ]
     button_idx = 0
-    
+
     with out_file.open("w") as fp:
         in_recording_block = False
         events = []
@@ -244,7 +244,7 @@ def _simulate_eye_tracking_data(in_file, out_file):
                     tokens[3] = "1"  # simulate button pressed
                     tokens[4:4] = ["100", "20", "45", "45", "127.0"]
                     tokens.extend(["1497.0", "5189.0", "512.5", "............."])
-                    
+
                     continue
                 elif event_type == "END":
                     pass
@@ -267,15 +267,18 @@ def _simulate_eye_tracking_data(in_file, out_file):
                 f"{timestamp}\t-2434.0\t-1760.0\t840.0\t100\t20\t45\t45\t127.0\t"
                 "...\t1497\t5189\t512.5\t.............\n"
             )
-        
+
         for timestamp in np.arange(5488500, 5488600):  # 100 samples
             # Write sample line
             fp.write(
                 f"{timestamp}\t-2434.0\t-1760.0\t840.0\t100\t20\t45\t45\t127.0\t"
                 "...\t1497\t5189\t512.5\t.............\n"
             )
             # Check and insert button events at this timestamp
-            while button_idx < len(button_events) and button_events[button_idx][0] == timestamp:
+            while (
+                button_idx < len(button_events)
+                and button_events[button_idx][0] == timestamp
+            ):
                 t, btn_id, state = button_events[button_idx]
                 fp.write(f"BUTTON\t{t}\t{btn_id}\t{state}\n")
                 button_idx += 1