remove user warning to manually check duration for numpy arrays

NeuralEnsemble · Dec 10, 2024 · 303f363 · 303f363
1 parent 5b1cf75
commit 303f363
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diff --git a/elephant/statistics.py b/elephant/statistics.py
@@ -352,10 +352,6 @@ def _check_input_spiketrains_durations(spiketrains: Union[List[neo.SpikeTrain],
                 warnings.warn(f"Fano factor calculated for spike trains of "
                               f"different duration (minimum: {np.min(durations)}s, maximum "
                               f"{np.max(durations)}s).")
-        else:
-            warnings.warn(f"Spiketrains was of type {type(spiketrains)}, which does not support automatic duration"
-                          f"check. The parameter 'warn_tolerance' will have no effect. Please ensure manually that"
-                          f"all spike trains have the same duration.")
 
     def _compute_fano(spiketrains: Union[List[neo.SpikeTrain], List[pq.Quantity], List[np.ndarray]]) -> float:
         # Check spike train durations

diff --git a/elephant/test/test_statistics.py b/elephant/test/test_statistics.py
@@ -370,11 +370,6 @@ def test_fanofactor_trials_pool_spike_trains_wrong_type(self):
         self.assertRaises(TypeError, statistics.fanofactor, self.test_trials, pool_spike_trials="Wrong Type",
                           pool_spike_trains="Wrong Type")
 
-    def test_fanofactor_warn_durations_manual_check(self):
-        st1 = [1, 2, 3] * pq.s
-        st2 = [1, 2, 3] * pq.s
-        self.assertWarns(UserWarning, statistics.fanofactor, (st1, st2))
-
 
 class LVTestCase(unittest.TestCase):
     def setUp(self):