lint

eye2bids/edf2bids.py

@@ -609,7 +609,7 @@ def edf2bids(
 
     # Messages and events to physioevents.tsv.gz
 
-    if _2eyesmode(df_ms_reduced) == False:
+    if not _2eyesmode(df_ms_reduced):
         output_eventsfilename_eye1 = generate_output_filename(
             output_dir=output_dir,
             input_file=input_file,

satf_search_recording-eye1_physio.json

@@ -0,0 +1,32 @@
+{
+    "Manufacturer": "SR-Research",
+    "Columns": [
+        "x_coordinate",
+        "y_coordinate",
+        "pupil_size",
+        "timestamp"
+    ],
+    "timestamp": {
+        "Description": "Timestamp issued by the eye-tracker indexing the continuous recordings corresponding to the sampled eye."
+    },
+    "x_coordinate": {
+        "Description": "Gaze position x-coordinate of the recorded eye, in the coordinate units specified in the corresponding metadata sidecar.",
+        "Units": "a.u."
+    },
+    "y_coordinate": {
+        "Description": "Gaze position y-coordinate of the recorded eye, in the coordinate units specified in the corresponding metadata sidecar.",
+        "Units": "a.u."
+    },
+    "pupil_size": {
+        "Description": "Pupil area of the recorded eye as calculated by the eye-tracker in arbitrary units (see EyeLink's documentation for conversion).",
+        "Units": "a.u."
+    },
+    "ManufacturersModelName": "EYELINK II CL v4.594 Jul  6 2012",
+    "DeviceSerialNumber": "CL1-ACF05",
+    "EyeTrackingMethod": "P-CR",
+    "PupilFitMethod": "CENTROID",
+    "SamplingFrequency": 500,
+    "StartTime": 3098681,
+    "StopTime": 4305132,
+    "RecordedEye": "Right"
+}

tests/test_edf2bids.py

@@ -3,7 +3,6 @@
 import json
 from pathlib import Path
 
-import numpy as np
 import pandas as pd
 import pytest
 
@@ -28,7 +27,6 @@
     _load_asc_file_as_df,
     _load_asc_file_as_reduced_df,
     _physioevents_eye1,
-    _physioevents_eye2,
     edf2bids,
 )