formatting
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@ -545,8 +545,6 @@ class MusicTable(QTableView):
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threadpool.start(worker)
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threadpool.start(worker)
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else:
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else:
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logging.warning("Application window could not be found")
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logging.warning("Application window could not be found")
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# add_files_to_library(files, progress_callback)
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return
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def load_music_table(self, *playlist_id):
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def load_music_table(self, *playlist_id):
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"""
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"""
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@ -49,6 +49,7 @@ def batch_delete_filepaths_from_database(
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db.execute(query, chunk)
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db.execute(query, chunk)
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if progress_callback:
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if progress_callback:
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progress_callback.emit(f"Deleting songs: {i}")
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progress_callback.emit(f"Deleting songs: {i}")
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except Exception as e:
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except Exception as e:
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logging.error(
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logging.error(
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f"batch_delete_filepaths_from_database.py | An error occurred during batch processing: {e}"
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f"batch_delete_filepaths_from_database.py | An error occurred during batch processing: {e}"
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@ -13,11 +13,7 @@ def convert_date_str_to_tyer_tdat_id3_tag(date_str) -> Tuple:
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match = re.match(r"(\d{4})[-/](\d{2})[-/](\d{2})", date_str)
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match = re.match(r"(\d{4})[-/](\d{2})[-/](\d{2})", date_str)
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if not match:
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if not match:
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raise ValueError("Invalid date format")
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raise ValueError("Invalid date format")
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# print(f"convert_date_str_to_tyer_tdat_id3_tag(): match: {match}")
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year, month, day = match.groups()
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year, month, day = match.groups()
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# print(
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# f"convert_date_str_to_tyer_tdat_id3_tag(): month: {month} | day: {day} | year: {year}"
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# )
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# only year
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# only year
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if not month or not day:
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if not month or not day:
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# print(TYER(encoding=3, text=year))
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# print(TYER(encoding=3, text=year))
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@ -26,9 +26,8 @@ def create_waveform_from_file(file):
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start_index = 0
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start_index = 0
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while start_index < len(audio_data):
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while start_index < len(audio_data):
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end_index = start_index + process_chunk_size
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end_index = start_index + process_chunk_size
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signal = audio_data[start_index:end_index].astype(
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# Get chunk and convert to float
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float
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signal = audio_data[start_index:end_index].astype(float)
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) # Get chunk and convert to float
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# Take mean of absolute values per 0.5 seconds
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# Take mean of absolute values per 0.5 seconds
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sub_waveform = np.nanmean(
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sub_waveform = np.nanmean(
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