python - 环境不一致，请仔细检查套餐方案-cvxopt

Question

我尝试为 macOS Sierra 10.12.6 安装 cvxopt 。

我已经尝试通过The environment is inconsistent, please check the package plan carefully的所有提示来解决这个问题但他们都没有工作并给出类似的错误消息，如下所示。

我已经尝试过:

• conda clean --all [然后] conda update --all
• conda update --all [仅]
• conda 安装
• conda 安装 anaconda
• 一一安装有问题的软件包

conda install -c anaconda cvxopt后的主要错误消息

MyMachine:~ me$ conda install -c anaconda cvxopt 
Collecting package metadata (current_repodata.json): done
Solving environment: - 
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

  - omnia/osx-64::autograd==1.1.2=np112py36_0
failed
Collecting package metadata (repodata.json): done
Solving environment: - 
The environment is inconsistent, please check the package plan carefully
The following packages are causing the inconsistency:

  - omnia/osx-64::autograd==1.1.2=np112py36_0
failed

UnsatisfiableError: The following specifications were found to be incompatible with each other:

  - anaconda/osx-64::pandas==0.24.2=py36h0a44026_0 -> numpy[version='>=1.12.1,<2.0a0']
  - anaconda/osx-64::quandl==3.4.5=py36_0 -> numpy[version='>=1.8']
  - autograd -> numpy=1.12
  - conda-forge/noarch::torchfile==0.1.0=py_0 -> numpy
  - conda-forge/noarch::visdom==0.1.8.5=0 -> numpy
  - pkgs/free/osx-64::blaze==0.10.1=py36_0 -> dask -> bokeh[version='>=1.0.0'] -> numpy[version='>=1.7.1']
  - pkgs/free/osx-64::blaze==0.10.1=py36_0 -> pytables[version='>=3.0.0'] -> numexpr
  - pkgs/free/osx-64::datashape==0.5.4=py36_0 -> numpy[version='>=1.7']
  - pkgs/free/osx-64::odo==0.5.0=py36_1 -> datashape[version='>=0.5'] -> numpy[version='>=1.7']
  - pkgs/main/osx-64::anaconda==2019.03=py36_0 -> bokeh==1.0.4=py36_0 -> numpy[version='>=1.7.1']
  - pkgs/main/osx-64::anaconda==2019.03=py36_0 -> cython==0.29.6=py36h0a44026_0
  - pkgs/main/osx-64::anaconda==2019.03=py36_0 -> gevent==1.4.0=py36h1de35cc_0
  - pkgs/main/osx-64::anaconda==2019.03=py36_0 -> importlib_metadata==0.8=py36_0
  - pkgs/main/osx-64::anaconda==2019.03=py36_0 -> mkl-service==1.1.2=py36hfbe908c_5
  - pkgs/main/osx-64::anaconda==2019.03=py36_0 -> numexpr==2.6.9=py36h7413580_0
  - pkgs/main/osx-64::anaconda==2019.03=py36_0 -> ply==3.11=py36_0
  - pkgs/main/osx-64::anaconda==2019.03=py36_0 -> scikit-learn==0.20.3=py36h27c97d8_0
  - pkgs/main/osx-64::anaconda==2019.03=py36_0 -> zipp==0.3.3=py36_1
  - pkgs/main/osx-64::astropy==3.1.2=py36h1de35cc_0 -> numpy[version='>=1.13.3,<2.0a0']
  - pkgs/main/osx-64::bkcharts==0.2=py36h073222e_0 -> numpy[version='>=1.7.1']
  - pkgs/main/osx-64::bokeh==1.0.4=py36_0 -> numpy[version='>=1.7.1']
  - pkgs/main/osx-64::bottleneck==1.2.1=py36h1d22016_1 -> numpy[version='>=1.11.3,<2.0a0']
  - pkgs/main/osx-64::cython==0.29.6=py36h0a44026_0
  - pkgs/main/osx-64::dask==1.1.4=py36_1 -> bokeh[version='>=0.13.0'] -> numpy[version='>=1.7.1']
  - pkgs/main/osx-64::gevent==1.4.0=py36h1de35cc_0
  - pkgs/main/osx-64::h5py==2.9.0=py36h3134771_0 -> numpy[version='>=1.11.3,<2.0a0']
  - pkgs/main/osx-64::imageio==2.5.0=py36_0 -> numpy
  - pkgs/main/osx-64::importlib_metadata==0.8=py36_0 -> zipp[version='>=0.3.2']
  - pkgs/main/osx-64::matplotlib==3.0.3=py36h54f8f79_0 -> numpy
  - pkgs/main/osx-64::mkl-service==1.1.2=py36hfbe908c_5
  - pkgs/main/osx-64::mkl_fft==1.0.10=py36h5e564d8_0 -> numpy[version='>=1.11.3,<2.0a0']
  - pkgs/main/osx-64::numba==0.43.1=py36h6440ff4_0 -> numpy[version='>=1.11.3,<2.0a0']
  - pkgs/main/osx-64::numexpr==2.6.9=py36h7413580_0 -> numpy[version='>=1.15.4,<2.0a0']
  - pkgs/main/osx-64::numpy-base==1.16.2=py36h6575580_0 -> numpy==1.16.2=py36hacdab7b_0
  - pkgs/main/osx-64::numpy==1.16.2=py36hacdab7b_0
  - pkgs/main/osx-64::path.py==11.5.0=py36_0 -> importlib_metadata[version='>=0.5']
  - pkgs/main/osx-64::patsy==0.5.1=py36_0 -> numpy[version='>=1.4.0']
  - pkgs/main/osx-64::ply==3.11=py36_0
  - pkgs/main/osx-64::pytables==3.5.1=py36h5bccee9_0 -> numexpr -> numpy[version='>=1.15.4,<2.0a0']
  - pkgs/main/osx-64::pytest-arraydiff==0.3=py36h39e3cac_0 -> numpy
  - pkgs/main/osx-64::pytest-astropy==0.5.0=py36_0 -> pytest-arraydiff[version='>=0.1'] -> numpy
  - pkgs/main/osx-64::pytest-doctestplus==0.3.0=py36_0 -> numpy[version='>=1.10']
  - pkgs/main/osx-64::pywavelets==1.0.2=py36h1d22016_0 -> numpy[version='>=1.11.3,<2.0a0']
  - pkgs/main/osx-64::scikit-image==0.14.2=py36h0a44026_0 -> imageio[version='>=2.1.0'] -> numpy
  - pkgs/main/osx-64::scikit-learn==0.20.3=py36h27c97d8_0 -> numpy[version='>=1.11.3,<2.0a0']
  - pkgs/main/osx-64::scipy==1.2.1=py36h1410ff5_0 -> numpy[version='>=1.11.3,<2.0a0']
  - pkgs/main/osx-64::seaborn==0.9.0=py36_0 -> matplotlib[version='>=1.4.3'] -> numpy
  - pkgs/main/osx-64::statsmodels==0.9.0=py36h1d22016_0 -> numpy[version='>=1.11.3,<2.0a0']
  - pkgs/main/osx-64::zipp==0.3.3=py36_1

Answer 1

1. 只需卸载 anaconda https://docs.anaconda.com/anaconda/install/uninstall/及其所有软件包而不是重新安装。
2. 如果这不起作用，请重新安装所有其他包管理工具。:homebrew、miniconda、pip 和 anaconda。