我无法让 datalad 在 python jupyter 实验室笔记本中工作，但它在常规终端中工作正常。我需要专门做些什么来将 datalad 与 Jupyter 笔记本集成吗？我根据 Datalad 手册安装：http: //handbook.datalad.org/en/latest/intro/installation.html#install。以下是一些细节：
机器规格：macOS Mojave 10.14.6，Python 3.8.5，使用 anaconda
使用它是行不通的！使用 shell 终端安装，但确实在终端应用程序中工作。这是我尝试使用 data lad 时的 jupyter 终端示例：!datalad status --annex all ; 产生此错误：[ERROR] git-annex of version >= 7.20190503 is missing。有关如何安装 DataLad 和 git-annex 的说明，请访问http://handbook.datalad.org/r.html?install 。[annexrepo.py:_check_git_annex_version:555]（缺少外部依赖）
我试图在 jupyter ( pip install datalad ) 中进行 pip 安装，它给了我这个警告，但其他方面似乎没问题：警告：目录 '/Users/eprzysinda/Library/Caches/pip' 或其父目录不属于或属于当前用户不可写。缓存已被禁用。检查该目录的权限和所有者。如果使用 sudo 执行 pip，您可能需要 sudo 的 -H 标志。
当我尝试导入 datalad.api 时，我收到一个很长的运行时错误，但从以下开始：
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
<ipython-input-41-e10c67ed4457> in <module>
1 import os
2 import glob
----> 3 import datalad.api as dl
4 #import pandas as pd
5
/opt/anaconda3/lib/python3.8/site-packages/datalad/__init__.py in <module>
46
47 from .config import ConfigManager
---> 48 cfg = ConfigManager()
49
50 from .log import lgr
/opt/anaconda3/lib/python3.8/site-packages/datalad/config.py in __init__(self, dataset, overrides, source)
344 self._runner = GitWitlessRunner(**run_kwargs)
345
--> 346 self.reload(force=True)
347
348 if not ConfigManager._checked_git_identity:
/opt/anaconda3/lib/python3.8/site-packages/datalad/config.py in reload(self, force)
397 while to_run:
398 store_id, runargs = to_run.popitem()
--> 399 self._stores[store_id] = self._reload(runargs)
400
401 # always update the merged representation, even if we did not reload
/opt/anaconda3/lib/python3.8/site-packages/datalad/config.py in _reload(self, run_args)
425 def _reload(self, run_args):
426 # query git-config
--> 427 stdout, stderr = self._run(
428 run_args,
429 protocol=StdOutErrCapture,
/opt/anaconda3/lib/python3.8/site-packages/datalad/config.py in _run(self, args, where, reload, **kwargs)
787 if '-l' in args:
788 # we are just reading, no need to reload, no need to lock
--> 789 out = self._runner.run(self._config_cmd + args, **kwargs)
790 return out['stdout'], out['stderr']
791
/opt/anaconda3/lib/python3.8/site-packages/datalad/cmd.py in run(self, cmd, protocol, stdin, cwd, env, **kwargs)
377 lgr.debug('Async run:\n cwd=%s\n cmd=%s', cwd, cmd)
378 # include the subprocess manager in the asyncio event loop
--> 379 results = event_loop.run_until_complete(
380 run_async_cmd(
381 event_loop,
/opt/anaconda3/lib/python3.8/asyncio/base_events.py in run_until_complete(self, future)
590 """
591 self._check_closed()
--> 592 self._check_running()
593
594 new_task = not futures.isfuture(future)
/opt/anaconda3/lib/python3.8/asyncio/base_events.py in _check_running(self)
550 def _check_running(self):
551 if self.is_running():
--> 552 raise RuntimeError('This event loop is already running')
553 if events._get_running_loop() is not None:
554 raise RuntimeError(
RuntimeError: This event loop is already running
Let me know if anyone has any ideas on this. I'm new to python and jupyter lab, so it's very possible I'm missing something obvious.
Thank you!
~Emily