环境不一致，请仔细查看打包方案-cvxopt [英] The environment is inconsistent, please check the package plan carefully - cvxopt

问题描述

我尝试为 macOS Sierra 10.12.6 安装 cvxopt.

I have tried to install cvxopt for macOS Sierra 10.12.6 .

我已经尝试通过 环境不一致，请仔细检查打包方案但没有一个成功并给出类似下面的错误信息.

Than I have tried to solve this problem by all the tips of The environment is inconsistent, please check the package plan carefully but non of them worked and gave similar error messages like the one bellow.

我试过了:

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

conda install -c anaconda cvxopt后的主要错误信息

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

推荐答案

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

1. just uninstall anaconda https://docs.anaconda.com/anaconda/install/uninstall/ with all it's packages than reinstall.
2. if that did not work than reinstall all other package management tool.: homebrew, miniconda, pip and anaconda.

这篇关于环境不一致，请仔细查看打包方案-cvxopt的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持IT屋！