Python Conda无法运行，无法安装任何库

操作系统：Ubuntu20.04LTS 用途：Miniconda3 目标：使用Conda创建新环境并安装两个特定库 正在安装的库：libmumps和fenics来自conda forge频道

当前结果：conda创建了环境，但未能安装库，并出现以下一系列错误。从错误中我了解到这与JSON有关。我已经搜索过了，但没有找到适合我的解决方案

(fenics) blueskies@sz-HP15-Nb:~$ conda install fenics                     
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): failed

# >>>>>>>>>>>>>>>>>>>>>> ERROR REPORT <<<<<<<<<<<<<<<<<<<<<<

    Traceback (most recent call last):
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/subdir_data.py", line 259, in _load
        raw_repodata_str = fetch_repodata_remote_request(
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/subdir_data.py", line 613, in fetch_repodata_remote_request
        raise Response304ContentUnchanged()
    conda.core.subdir_data.Response304ContentUnchanged
    
    During handling of the above exception, another exception occurred:
    
    Traceback (most recent call last):
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/exceptions.py", line 1079, in __call__
        return func(*args, **kwargs)
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/cli/main.py", line 84, in _main
        exit_code = do_call(args, p)
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/cli/conda_argparse.py", line 83, in do_call
        return getattr(module, func_name)(args, parser)
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/cli/main_install.py", line 20, in execute
        install(args, parser, 'install')
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/cli/install.py", line 261, in install
        unlink_link_transaction = solver.solve_for_transaction(
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/solve.py", line 114, in solve_for_transaction
        unlink_precs, link_precs = self.solve_for_diff(update_modifier, deps_modifier,
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/solve.py", line 157, in solve_for_diff
        final_precs = self.solve_final_state(update_modifier, deps_modifier, prune, ignore_pinned,
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/solve.py", line 262, in solve_final_state
        ssc = self._collect_all_metadata(ssc)
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/common/io.py", line 88, in decorated
        return f(*args, **kwds)
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/solve.py", line 425, in _collect_all_metadata
        index, r = self._prepare(prepared_specs)
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/solve.py", line 1020, in _prepare
        reduced_index = get_reduced_index(self.prefix, self.channels,
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/index.py", line 276, in get_reduced_index
        new_records = SubdirData.query_all(spec, channels=channels, subdirs=subdirs,
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/subdir_data.py", line 120, in query_all
        result = tuple(concat(executor.map(subdir_query, channel_urls)))
      File "/home/blueskies/miniconda3/lib/python3.8/concurrent/futures/_base.py", line 611, in result_iterator
        yield fs.pop().result()
      File "/home/blueskies/miniconda3/lib/python3.8/concurrent/futures/_base.py", line 432, in result
        return self.__get_result()
      File "/home/blueskies/miniconda3/lib/python3.8/concurrent/futures/_base.py", line 388, in __get_result
        raise self._exception
      File "/home/blueskies/miniconda3/lib/python3.8/concurrent/futures/thread.py", line 57, in run
        result = self.fn(*self.args, **self.kwargs)
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/subdir_data.py", line 112, in <lambda>
        subdir_query = lambda url: tuple(SubdirData(Channel(url), repodata_fn=repodata_fn).query(
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/subdir_data.py", line 125, in query
        self.load()
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/subdir_data.py", line 189, in load
        _internal_state = self._load()
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/subdir_data.py", line 277, in _load
        _internal_state = self._read_local_repdata(mod_etag_headers.get('_etag'),
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/subdir_data.py", line 326, in _read_local_repdata
        _internal_state = self._process_raw_repodata_str(raw_repodata_str)
      File "/home/blueskies/miniconda3/lib/python3.8/site-packages/conda/core/subdir_data.py", line 364, in _process_raw_repodata_str
        json_obj = json.loads(raw_repodata_str or '{}')
      File "/home/blueskies/miniconda3/lib/python3.8/json/__init__.py", line 357, in loads
        return _default_decoder.decode(s)
      File "/home/blueskies/miniconda3/lib/python3.8/json/decoder.py", line 337, in decode
        obj, end = self.raw_decode(s, idx=_w(s, 0).end())
      File "/home/blueskies/miniconda3/lib/python3.8/json/decoder.py", line 353, in raw_decode
        obj, end = self.scan_once(s, idx)
    json.decoder.JSONDecodeError: Invalid control character at: line 85395 column 54 (char 2467927)

`$ /home/blueskies/miniconda3/bin/conda install fenics`

  environment variables:
                 CIO_TEST=<not set>
        CONDA_DEFAULT_ENV=fenics
                CONDA_EXE=/home/blueskies/miniconda3/bin/conda
             CONDA_PREFIX=/home/blueskies/miniconda3/envs/fenics
           CONDA_PREFIX_1=/home/blueskies/miniconda3
    CONDA_PROMPT_MODIFIER=(fenics)
         CONDA_PYTHON_EXE=/home/blueskies/miniconda3/bin/python
               CONDA_ROOT=/home/blueskies/miniconda3
              CONDA_SHLVL=2
           CURL_CA_BUNDLE=<not set>
                     PATH=/home/blueskies/miniconda3/bin:/home/blueskies/miniconda3/envs/fenics/bi
                          n:/home/blueskies/miniconda3/condabin:/usr/local/sbin:/usr/local/bin:/u
                          sr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
       REQUESTS_CA_BUNDLE=<not set>
            SSL_CERT_FILE=<not set>
            XDG_SEAT_PATH=/org/freedesktop/DisplayManager/Seat0
         XDG_SESSION_PATH=/org/freedesktop/DisplayManager/Session1

     active environment : fenics
    active env location : /home/blueskies/miniconda3/envs/fenics
            shell level : 2
       user config file : /home/blueskies/.condarc
 populated config files : /home/blueskies/.condarc
          conda version : 4.9.0
    conda-build version : not installed
         python version : 3.8.6.final.0
       virtual packages : __glibc=2.31=0
                          __unix=0=0
                          __archspec=1=x86_64
       base environment : /home/blueskies/miniconda3  (writable)
           channel URLs : https://conda.anaconda.org/conda-forge/linux-64
                          https://conda.anaconda.org/conda-forge/noarch
                          https://repo.anaconda.com/pkgs/main/linux-64
                          https://repo.anaconda.com/pkgs/main/noarch
                          https://repo.anaconda.com/pkgs/r/linux-64
                          https://repo.anaconda.com/pkgs/r/noarch
          package cache : /home/blueskies/miniconda3/pkgs
                          /home/blueskies/.conda/pkgs
       envs directories : /home/blueskies/miniconda3/envs
                          /home/blueskies/.conda/envs
               platform : linux-64
             user-agent : conda/4.9.0 requests/2.24.0 CPython/3.8.6 Linux/5.4.0-52-generic ubuntu/20.04.1 glibc/2.31
                UID:GID : 1000:1000
             netrc file : None
           offline mode : False


An unexpected error has occurred. Conda has prepared the above report.

If submitted, this report will be used by core maintainers to improve
future releases of conda.
Would you like conda to send this report to the core maintainers?

（fenics）blueskies@sz-HP15注意：~$conda安装fenics
收集包元数据（current_repodata.json）：完成
解决环境：初始冻结解决失败。用灵活的解决方法重试。
解决环境：使用当前_repodata.json中的repodata失败，将使用下一个repodata源重试。
收集包元数据（repodata.json）：失败
#>>>>>>>>>>>>>>>>>>>>>>>>>>>>错误报告