Remove a redundant function and fix some style

strax/dtypes.py

@@ -234,7 +234,7 @@ def copy_to_buffer(
     source: np.ndarray, buffer: np.ndarray, func_name: str, field_names: Optional[Tuple[str]] = None
 ):
     """Copy the data from the source to the destination e.g. raw_records to records. To this end, we
-    dynamically create the  njitted function with the name 'func_name' (should start with "_").
+    dynamically create the njitted function with the name 'func_name' (should start with "_").
 
     :param source: array of input
     :param buffer: array of buffer to fill with values from input

strax/plugins/down_chunking_plugin.py

@@ -33,9 +33,6 @@ def __init__(self):
                 "a single data-type."
             )
 
-    def iter(self, iters, executor=None):
-        return super().iter(iters, executor)
-
     def _iter_compute(self, chunk_i, **inputs_merged):
         return self.do_compute(chunk_i=chunk_i, **inputs_merged)
 

strax/plugins/plugin.py

@@ -430,7 +430,7 @@ class IterDone(Exception):
                     if time.time() > last_input_received + self.input_timeout:
                         raise InputTimeoutExceeded(
                             f"{self.__class__.__name__}:{id(self)} waited for "
-                            f"more  than {self.input_timeout} sec for arrival of "
+                            f"more than {self.input_timeout} sec for arrival of "
                             f"input chunk {chunk_i}, and has given up."
                         )
 

strax/processing/hitlets.py

@@ -39,7 +39,7 @@ def create_hitlets_from_hits(
     if chunk_end is None:
         chunk_end = np.iinfo(np.int64).max
 
-    # Merge concatenate overlapping  within a channel. This is important
+    # Merge concatenate overlapping within a channel. This is important
     # in case hits were split by record boundaries. In case we
     # accidentally concatenate two PMT signals we split them later again.
     hits = strax.concat_overlapping_hits(

strax/processing/peak_splitting.py

@@ -334,7 +334,7 @@ def symmetric_moving_average(a, wing_width):
     """Return the moving average of a, over windows of length [2 * wing_width + 1] centered on each
     sample.
 
-    (i.e. the window covers each sample itself, plus a 'wing' of width  wing_width on either side)
+    (i.e. the window covers each sample itself, plus a 'wing' of width wing_width on either side)
 
     """
     if wing_width == 0:

strax/run_selection.py

@@ -66,7 +66,7 @@ def keys_for_runs(
         return [self.key_for(r, target) for r in run_ids]
     elif len(run_ids):
         # Get the lineage once, for the context specifies that the
-        # defaults  may not change!
+        # defaults may not change!
         p = self._get_plugins((target,), run_ids[0])[target]
         return [strax.DataKey(r, target, p.lineage) for r in run_ids]
     else:

strax/testutils.py

@@ -274,7 +274,7 @@ def compute(self, chunk_i):
 
 
 class DownSampleRecords(strax.DownChunkingPlugin):
-    """PLugin to test the downsampling of Chunks during compute.
+    """Plugin to test the downsampling of Chunks during compute.
 
     Needed for simulations.