安装包时出现python依赖错误

Question

每当我安装 python 包时，我都会收到此错误。我在 Miniconda 环境中使用 Intel 开发 python。软件包正在安装，但总是会出现这种依赖错误。 下面是一个例子。

pip install keras

错误如下图。

(idp) D:\ml\tsk sir work>pip install keras
Requirement already satisfied: keras in c:\users\ggmah\miniconda3\envs\idp\lib\site-packages (2.3.1)
Requirement already satisfied: h5py in c:\users\ggmah\miniconda3\envs\idp\lib\site-packages (from keras) (2.10.0)
Requirement already satisfied: keras-applications>=1.0.6 in c:\users\ggmah\miniconda3\envs\idp\lib\site-packages (from keras) (1.0.8)
Requirement already satisfied: keras-preprocessing>=1.0.5 in c:\users\ggmah\miniconda3\envs\idp\lib\site-packages (from keras) (1.1.0)
Requirement already satisfied: scipy>=0.14 in c:\users\ggmah\miniconda3\envs\idp\lib\site-packages (from keras) (1.3.1)
Requirement already satisfied: pyyaml in c:\users\ggmah\miniconda3\envs\idp\lib\site-packages (from keras) (5.1.1)
Requirement already satisfied: numpy>=1.9.1 in c:\users\ggmah\miniconda3\envs\idp\lib\site-packages (from keras) (1.17.0)
Requirement already satisfied: six>=1.9.0 in c:\users\ggmah\miniconda3\envs\idp\lib\site-packages (from keras) (1.12.0)
ERROR: Error checking for conflicts.
Traceback (most recent call last):
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 3012, in _dep_map
    return self.__dep_map
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 2806, in __getattr__
    raise AttributeError(attr)
AttributeError: _DistInfoDistribution__dep_map

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 3003, in _parsed_pkg_info
    return self._pkg_info
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 2806, in __getattr__
    raise AttributeError(attr)
AttributeError: _pkg_info

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_internal\commands\install.py", line 524, in _warn_about_conflicts
    package_set, _dep_info = check_install_conflicts(to_install)
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_internal\operations\check.py", line 108, in check_install_conflicts
    package_set, _ = create_package_set_from_installed()
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_internal\operations\check.py", line 47, in create_package_set_from_installed
    package_set[name] = PackageDetails(dist.version, dist.requires())
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 2727, in requires
    dm = self._dep_map
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 3014, in _dep_map
    self.__dep_map = self._compute_dependencies()
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 3023, in _compute_dependencies
    for req in self._parsed_pkg_info.get_all('Requires-Dist') or []:
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 3005, in _parsed_pkg_info
    metadata = self.get_metadata(self.PKG_INFO)
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1419, in get_metadata
    value = self._get(self._fn(self.egg_info, name))
  File "C:\Users\ggmah\Miniconda3\envs\idp\lib\site-packages\pip\_vendor\pkg_resources\__init__.py", line 1607, in _get
    with open(path, 'rb') as stream:
FileNotFoundError: [Errno 2] No such file or directory: 'c:\\users\\ggmah\\miniconda3\\envs\\idp\\lib\\site-packages\\parso-0.5.1.dist-info\\METADATA'

我尝试卸载和安装整个英特尔发行版，但错误仍未解决。没有创建名为 parso-0.5.1.dist-info 的文件夹。我不知道如何解决这个内部错误。

Answer 1

自动包上传似乎破坏了英特尔 Anaconda。这已升级并正在努力解决。但是，我们不确定是否是同样的问题导致了您的问题。由于这可能不是编程问题，您也可以尝试Intel Distribution of Python forum 以更深入地了解您的问题。