remove cache

Author: h-mayorquin

src/spikeinterface/core/baserecordingsnippets.py

@@ -206,7 +206,7 @@ def _set_probes(self, probe_or_probegroup, group_mode="auto", in_place=False):
             sub_recording.annotate(probes_info=[])
             return sub_recording
 
-        probe_as_numpy_array = probegroup._contact_vector
+        probe_as_numpy_array = probegroup._build_contact_vector()
 
         # duplicate positions to "location" property so SpikeInterface-level readers keep working
         locations = np.zeros((probe_as_numpy_array.size, ndim), dtype="float64")
@@ -360,7 +360,7 @@ def get_channel_locations(self, channel_ids=None, axes: str = "xy") -> np.ndarra
             channel_ids = self.get_channel_ids()
         channel_indices = self.ids_to_indices(channel_ids)
         if self.has_probe():
-            contact_vector = self._probegroup._contact_vector
+            contact_vector = self._probegroup._build_contact_vector()
             ndim = len(axes)
             all_positions = np.zeros((contact_vector.size, ndim), dtype="float64")
             for i, dim in enumerate(axes):

src/spikeinterface/preprocessing/tests/test_interpolate_bad_channels.py

@@ -128,7 +128,6 @@ def test_compare_input_argument_ranges_against_ibl(shanks, p, sigma_um, num_chan
     x = rng.choice(shanks, num_channels)
     probe = recording._probegroup.probes[0]
     probe._contact_positions[:, 0] = x
-    recording._probegroup._build_contact_vector()
     recording.set_property("location", recording.get_channel_locations())
 
     # generate random bad channel locations
@@ -176,7 +175,6 @@ def test_output_values():
     for idx, (x, y) in enumerate(zip(*new_probe_locs)):
         probe._contact_positions[idx, 0] = x
         probe._contact_positions[idx, 1] = y
-    recording._probegroup._build_contact_vector()
     recording.set_property("location", recording.get_channel_locations())
 
     # Run interpolation in SI and check the interpolated channel
@@ -194,7 +192,6 @@ def test_output_values():
     probe = recording._probegroup.probes[0]
     probe._contact_positions[-1, 0] = 5
     probe._contact_positions[-1, 1] = 9
-    recording._probegroup._build_contact_vector()
     recording.set_property("location", recording.get_channel_locations())
     expected_weights = np.r_[np.tile(np.exp(-2), 3), np.exp(-4)]
     expected_weights /= np.sum(expected_weights)