fix tests

eye2bids/edf2bids.py

@@ -600,13 +600,15 @@ def edf2bids(
 
         e2b_log.info(f"file generated: {output_filename_eye2}")
 
+    # %%
     # Messages and events to dataframes
 
     events_after_start = _df_events_after_start(events)
     physioevents_reordered = _df_physioevents(events_after_start)
     physioevents_eye1 = _physioevents_eye1(physioevents_reordered)
     physioevents_eye2 = _physioevents_eye2(physioevents_reordered)
 
+    # %%
     # Messages and events to physioevents.tsv.gz
 
     if not _2eyesmode(df_ms_reduced):

tests/test_edf2bids.py

@@ -4,6 +4,7 @@
 from pathlib import Path
 
 import pandas as pd
+import numpy as np
 import pytest
 
 from eye2bids.edf2bids import (
@@ -160,7 +161,7 @@ def test_edf_nan_in_tsv(eyelink_test_data_dir):
     )
 
     expected_eyetrack_tsv = output_dir / f"{input_file.stem}_recording-eye1_physio.tsv.gz"
-    df = pd.read_csv(expected_eyetrack_tsv, sep="\t")
+    df = pd.read_csv(expected_eyetrack_tsv, sep="\t", header=None)
     count = sum(i == "." for i in df[0])
     assert count == 0
 
@@ -636,7 +637,7 @@ def test_number_columns_physioevents_tsv(eyelink_test_data_dir):
 
 
 @pytest.mark.parametrize(
-    "folder, expected",
+     "folder, expected",
     [
         (
             "rest",
@@ -677,10 +678,21 @@ def test_number_columns_physioevents_tsv(eyelink_test_data_dir):
     ],
 )
 def test_physioevents_value(folder, expected, eyelink_test_data_dir):
+    """Check content physioevents.tsv.gz.
+
+    function _df_events_after_start, _df_physioevents, _physioevents_eye1, _physioevents_eye2
+    """
     input_dir = eyelink_test_data_dir / folder
-    asc_file = asc_test_files(input_dir=input_dir, suffix="*_events")[0]
-    events = _load_asc_file(asc_file)
-    events_after_start = _df_events_after_start(events)
-    physioevents_reordered = _df_physioevents(events_after_start)
-    physioevents_eye1 = _physioevents_eye1(physioevents_reordered)
-    assert physioevents_eye1.iloc[3:10, 2].tolist() == expected
+    input_file = edf_test_files(input_dir=input_dir)[0]
+
+    output_dir = data_dir() / "output"
+    output_dir.mkdir(exist_ok=True)
+
+    edf2bids(
+        input_file=input_file,
+        output_dir=output_dir,
+    )
+
+    expected_eyetrackphysio_tsv = output_dir / f"{input_file.stem}_recording-eye1_physioevents.tsv.gz"
+    df = pd.read_csv(expected_eyetrackphysio_tsv, sep="\t", header=None)
+    assert df.iloc[3:10, 2].tolist() == expected