你传入的两个列表（或数组）src 和 remerged 的长度不一致

这个错误 (ValueError: All arrays must be of the same length) 表明在创建 DataFrame 时，你传入的两个列表（或数组）src 和 remerged 的长度不一致。具体来说，在以下代码行中：
ValueError: All arrays must be of the same length
Traceback:
File "/Volumes/newhidd/anaconda/anaconda3/envs/videolingo/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/exec_code.py", line 88, in exec_func_with_error_handling
result = func()
File "/Volumes/newhidd/anaconda/anaconda3/envs/videolingo/lib/python3.10/site-packages/streamlit/runtime/scriptrunner/script_runner.py", line 590, in code_to_exec
exec(code, module.dict)
File "/Users/yuhong/VideoLingo/st.py", line 123, in
main()
File "/Users/yuhong/VideoLingo/st.py", line 119, in main
text_processing_section()
File "/Users/yuhong/VideoLingo/st.py", line 33, in text_processing_section
process_text()
File "/Users/yuhong/VideoLingo/st.py", line 57, in process_text
step5_splitforsub.split_for_sub_main()
File "/Users/yuhong/VideoLingo/core/step5_splitforsub.py", line 131, in split_for_sub_main
pd.DataFrame({'Source': src, 'Translation': remerged}).to_excel(OUTPUT_REMERGED_FILE, index=False)
File "/Volumes/newhidd/anaconda/anaconda3/envs/videolingo/lib/python3.10/site-packages/pandas/core/frame.py", line 778, in init
mgr = dict_to_mgr(data, index, columns, dtype=dtype, copy=copy, typ=manager)
File "/Volumes/newhidd/anaconda/anaconda3/envs/videolingo/lib/python3.10/site-packages/pandas/core/internals/construction.py", line 503, in dict_to_mgr
return arrays_to_mgr(arrays, columns, index, dtype=dtype, typ=typ, consolidate=copy)
File "/Volumes/newhidd/anaconda/anaconda3/envs/videolingo/lib/python3.10/site-packages/pandas/core/internals/construction.py", line 114, in arrays_to_mgr
index = _extract_index(arrays)
File "/Volumes/newhidd/anaconda/anaconda3/envs/videolingo/lib/python3.10/site-packages/pandas/core/internals/construction.py", line 677, in _extract_index
raise ValueError("All arrays must be of the same length")

请问这种情况是什么意思？怎么解决

Start in core/step5_splitforsub.py at split_for_sub_main(), especially line 131 where src and remerged are passed to pandas.DataFrame, then trace the call from st.py through process_text(). Reproduce the reported failure and inspect where the two collections acquire different lengths. Done means the failing input is handled without the DataFrame error and the generated output remains aligned.