diff --git a/complete_analysis.py b/complete_analysis.py
new file mode 100644
index 0000000..3fca243
--- /dev/null
+++ b/complete_analysis.py
@@ -0,0 +1,38 @@
+import numpy as np
+import pandas as pd
+import os
+import sys
+from IPython import embed
+
+def main(data_folder=None):
+    trials_meta = pd.read_csv('order_meta.csv')
+
+    for trial_idx in range(len(trials_meta)):
+        group = trials_meta['group'][trial_idx]
+        recording = trials_meta['recording'][trial_idx][1:-1]
+
+        if group < 3:
+            continue
+
+        trial_path = os.path.join(data_folder, recording)
+        if not os.path.exists(trial_path):
+            continue
+
+        if not os.path.exists(os.path.join(trial_path, 'led_idxs.csv')):
+            continue
+
+        print(group, recording)
+
+        LED_on_idx_DF = pd.read_csv(os.path.join(trial_path, 'led_idxs.csv'))
+        i0 = np.array([int(LED_on_idx_DF.keys()[0])])
+        LED_on_idx_DATA = np.concatenate((i0, np.array(LED_on_idx_DF).T[0]))
+        LED_on_time_BORIS = np.load(os.path.join(trial_path, 'LED_on_time.npy'), allow_pickle=True)
+
+        print(len(LED_on_idx_DATA), len(LED_on_time_BORIS))
+
+    embed()
+    quit()
+    pass
+
+if __name__ == '__main__':
+    main("/home/raab/data/mount_data/")
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