lancopku / pkuseg-python

pkuseg多领域中文分词工具; The pkuseg toolkit for multi-domain Chinese word segmentation
MIT License
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用代码示例2:细领域分词出现 urllib.error.URLError: <urlopen error unknown url type: https>错误 #134

Open AndyPromise opened 3 years ago

AndyPromise commented 3 years ago

Downloading: "https://github.com/lancopku/pkuseg-python/releases/download/v0.0.16/medicine.zip" to C:\Users\Andy/.pkuseg\medicine.zip Traceback (most recent call last): File "F:/PythonCode/token/test.py", line 3, in seg = pkuseg.pkuseg(model_name='medicine') # 程序会自动下载所对应的细领域模型 File "C:\ProgramData\Anaconda3\envs\pytorch1.4\lib\site-packages\pkuseg__init.py", line 207, in init__ download_model(config.model_urls[model_name], config.pkuseg_home, config.model_hash[model_name]) File "C:\ProgramData\Anaconda3\envs\pytorch1.4\lib\site-packages\pkuseg\download.py", line 38, in download_model _download_url_to_file(url, cached_file, hash_prefix, progress=progress) File "C:\ProgramData\Anaconda3\envs\pytorch1.4\lib\site-packages\pkuseg\download.py", line 48, in _download_url_to_file u = urlopen(url, timeout=5) File "C:\ProgramData\Anaconda3\envs\pytorch1.4\lib\urllib\request.py", line 222, in urlopen return opener.open(url, data, timeout) File "C:\ProgramData\Anaconda3\envs\pytorch1.4\lib\urllib\request.py", line 525, in open response = self._open(req, data) File "C:\ProgramData\Anaconda3\envs\pytorch1.4\lib\urllib\request.py", line 548, in _open 'unknown_open', req) File "C:\ProgramData\Anaconda3\envs\pytorch1.4\lib\urllib\request.py", line 503, in _call_chain result = func(*args) File "C:\ProgramData\Anaconda3\envs\pytorch1.4\lib\urllib\request.py", line 1420, in unknown_open raise URLError('unknown url type: %s' % type) urllib.error.URLError:

Process finished with exit code 1