housekeeping

- typo fix
- add comment for where segment weights maybe added

aurora/pipelines/process_mth5.py

@@ -148,6 +148,7 @@ def process_tf_decimation_level(
     frequency_bands = config.decimations[i_dec_level].frequency_bands_obj()
     transfer_function_obj = TTFZ(i_dec_level, frequency_bands, processing_config=config)
     dec_level_config = config.decimations[i_dec_level]
+    # segment_weights = coherence_weights(dec_level_config, local_stft_obj, remote_stft_obj)
     transfer_function_obj = process_transfer_functions(
         dec_level_config, local_stft_obj, remote_stft_obj, transfer_function_obj
     )
@@ -315,6 +316,7 @@ def process_mth5(
     tfk.make_processing_summary()
     tfk.show_processing_summary()
     tfk.validate()
+
     # See Note #1
     if tfk.config.decimations[0].save_fcs:
         mth5_mode = "a"
@@ -404,7 +406,7 @@ def process_mth5(
     if z_file_path:
         tf_cls.write(z_file_path)
 
-    tfk.dataset.close_mths_objs()
+    tfk.dataset.close_mth5s()
     if return_collection:
         # this is now really only to be used for debugging and may be deprecated soon
         return tf_collection

aurora/transfer_function/kernel_dataset.py

@@ -449,10 +449,9 @@ def get_run_object(self, index_or_row):
         run_obj = row.mth5_obj.from_reference(row.run_reference)
         return run_obj
 
-    def close_mths_objs(self):
+    def close_mth5s(self):
         """
-        Loop over all unique mth5_objs in the df and make sure they are closed
-
+        Loop over all unique mth5_objs in dataset df and make sure they are closed.+
         """
         mth5_objs = self.df["mth5_obj"].unique()
         for mth5_obj in mth5_objs: