Fix silence period and job_kwargs

src/spikeinterface/preprocessing/silence_periods.py

@@ -5,8 +5,9 @@
 from spikeinterface.core.core_tools import define_function_handling_dict_from_class
 from .basepreprocessor import BasePreprocessor, BasePreprocessorSegment
 
-from spikeinterface.core import get_random_data_chunks, get_noise_levels
+from spikeinterface.core import get_noise_levels
 from spikeinterface.core.generate import NoiseGeneratorRecording
+from spikeinterface.core.job_tools import split_job_kwargs
 
 
 class SilencedPeriodsRecording(BasePreprocessor):
@@ -36,15 +37,23 @@ class SilencedPeriodsRecording(BasePreprocessor):
         - "noise": The periods are filled with a gaussion noise that has the
                    same variance that the one in the recordings, on a per channel
                    basis
-    **random_chunk_kwargs : Keyword arguments for `spikeinterface.core.get_random_data_chunk()` function
+    **noise_levels_kwargs : Keyword arguments for `spikeinterface.core.get_noise_levels()` function
 
     Returns
     -------
     silence_recording : SilencedPeriodsRecording
         The recording extractor after silencing some periods
     """
 
-    def __init__(self, recording, list_periods, mode="zeros", noise_levels=None, seed=None, **random_chunk_kwargs):
+    def __init__(
+        self,
+        recording,
+        list_periods,
+        mode="zeros",
+        noise_levels=None,
+        seed=None,
+        **noise_levels_kwargs,
+    ):
         available_modes = ("zeros", "noise")
         num_seg = recording.get_num_segments()
 
@@ -71,11 +80,9 @@ def __init__(self, recording, list_periods, mode="zeros", noise_levels=None, see
 
         if mode in ["noise"]:
             if noise_levels is None:
-                random_slices_kwargs = random_chunk_kwargs.copy()
-                random_slices_kwargs["seed"] = seed
-                noise_levels = get_noise_levels(
-                    recording, return_in_uV=False, random_slices_kwargs=random_slices_kwargs
-                )
+                noise_levels_kwargs["return_in_uV"] = False
+                noise_levels_kwargs["seed"] = seed
+                noise_levels = get_noise_levels(recording, **noise_levels_kwargs)
             noise_generator = NoiseGeneratorRecording(
                 num_channels=recording.get_num_channels(),
                 sampling_frequency=recording.sampling_frequency,
@@ -97,8 +104,10 @@ def __init__(self, recording, list_periods, mode="zeros", noise_levels=None, see
             rec_segment = SilencedPeriodsRecordingSegment(parent_segment, periods, mode, noise_generator, seg_index)
             self.add_recording_segment(rec_segment)
 
-        self._kwargs = dict(recording=recording, list_periods=list_periods, mode=mode, seed=seed)
-        self._kwargs.update(random_chunk_kwargs)
+        self._kwargs = dict(
+            recording=recording, list_periods=list_periods, mode=mode, seed=seed, noise_levels=noise_levels
+        )
+        self._kwargs.update(noise_levels_kwargs)
 
 
 class SilencedPeriodsRecordingSegment(BasePreprocessorSegment):