conda@config命令@package cache包缓存共享@Channels@conda install pyside6@channel_alias

文章目录

refs

检查基本信息

 (d:\condaPythonEnvs\d2l) PS D:\repos\blogs> conda info
 
     active environment : d2l
    active env location : d:\condaPythonEnvs\d2l
            shell level : 1
       user config file : C:\Users\cxxu\.condarc
 populated config files : C:\Users\cxxu\.condarc
          conda version : 23.1.0
    conda-build version : not installed
         python version : 3.9.5.final.0
       virtual packages : __archspec=1=x86_64
                          __cuda=12.0=0
                          __win=0=0
       base environment : C:\Users\cxxu\miniconda3  (writable)
      conda av data dir : C:\Users\cxxu\miniconda3\etc\conda
  conda av metadata url : None
           channel URLs : https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/win-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/win-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/r/noarch
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/win-64
                          https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/msys2/noarch
          package cache : C:\Users\cxxu\miniconda3\pkgs
                          C:\Users\cxxu\.conda\pkgs
                          C:\Users\cxxu\AppData\Local\conda\conda\pkgs
       envs directories : d:\condaPythonEnvs
                          C:\Users\cxxu\miniconda3\envs
                          C:\Users\cxxu\.conda\envs
                          C:\Users\cxxu\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/23.1.0 requests/2.28.1 CPython/3.9.5 Windows/10 Windows/10.0.22621
          administrator : False
             netrc file : None
           offline mode : False

默认情况下,package chace包含3条目录:

 package cache : C:\Users\cxxu\miniconda3\pkgs
                  C:\Users\cxxu\.conda\pkgs
                  C:\Users\cxxu\AppData\Local\conda\conda\pkgs

config add pkgs_dirs

使用config --add pkgs_dirs <path>可以为pkgs_dirs添加目录
- 如果只添加一两条,可以用命令行添加:
- ```
 (d:\condaPythonEnvs\d2l) PS D:\conda3\pkgs> conda config --add pkgs_dirs d:\conda3\pkgs
Warning: 'd:\conda3\pkgs' already in 'pkgs_dirs' list, moving to the top
```
- 如果添加的条目之前添加过,那么会调整条目的顺序(moving to the top)
如果需要添加多条目录,可以打开(没有则创建)condarc文件,直接编辑
编辑完后再检查以下:

 (d:\condaPythonEnvs\d2l) PS D:\conda3\pkgs> conda info
 
     active environment : d2l
    active env location : d:\condaPythonEnvs\d2l
            shell level : 1
       user config file : C:\Users\cxxu\.condarc
...
          package cache : d:\conda3\pkgs
                          C:\Users\cxxu\AppData\Local\conda\conda\pkgs
                          C:\Users\cxxu\.conda\pkgs
                          C:\Users\cxxu\miniconda3\pkgs
       envs directories : d:\condaPythonEnvs
                          C:\Users\cxxu\miniconda3\envs
                          C:\Users\cxxu\.conda\envs
                          C:\Users\cxxu\AppData\Local\conda\conda\envs
               platform : win-64
             user-agent : conda/23.1.0 requests/2.28.1 CPython/3.9.5 Windows/10 Windows/10.0.22621
          administrator : False
             netrc file : None
           offline mode : False

查看condarc源文件

conda config --show-sources

按字段查询

如果想要查询condarc文件中配置过的内容,可以用命令行查询conda config --get <key>

 (d:\condaPythonEnvs\pt2.0) PS D:\repos\CCSER\d2l-zh\pytorch> conda config --get pkgs_dirs
--add pkgs_dirs 'C:\\Users\\cxxu\\miniconda3\\pkgs'
--add pkgs_dirs 'C:\\Users\\cxxu\\.conda\\pkgs'
--add pkgs_dirs 'C:\\Users\\cxxu\\AppData\\Local\\conda\\conda\\pkgs'
--add pkgs_dirs 'd:\\conda3\\pkgs'
(d:\condaPythonEnvs\pt2.0) PS D:\repos\CCSER\d2l-zh\pytorch>

全部信息

conda config --show可以查询更加丰富的信息(包括默认的配置和没有显示设置在condarc文件中的信息)

conda Channel

Conda channels — conda 23.3.0.post2+8419c02f5 documentation

conda-forge 通道安装packge@conda install cupy

清华源提供的配置,其中conda-forge可以直接安装某些包,比如cupy

 (d:\condaPythonEnvs\pt2.0) PS D:\repos\blogs\python> conda install -c conda-forge cupy
Collecting package metadata (current_repodata.json): done
Solving environment: done
 
## Package Plan ##
 
  environment location: d:\condaPythonEnvs\pt2.0
 
  added / updated specs:
    - cupy
 
 
The following packages will be downloaded:
 
    package                    |            build
    ---------------------------|-----------------
    cudatoolkit-11.1.1         |      heb2d755_10        1.20 GB  conda-forge
    cupy-11.6.0                |  py310h1011f98_0        49.0 MB  conda-forge
    fastrlock-0.8              |  py310h8a704f9_2          29 KB  conda-forge
    python_abi-3.10            |          2_cp310           4 KB  conda-forge
    ------------------------------------------------------------
                                           Total:        1.25 GB
 
The following NEW packages will be INSTALLED:
 
  cudatoolkit        conda-forge/win-64::cudatoolkit-11.1.1-heb2d755_10
  cupy               conda-forge/win-64::cupy-11.6.0-py310h1011f98_0
  fastrlock          conda-forge/win-64::fastrlock-0.8-py310h8a704f9_2
  python_abi         conda-forge/win-64::python_abi-3.10-2_cp310
 
The following packages will be SUPERSEDED by a higher-priority channel:
 
  ca-certificates    anaconda/pkgs/main::ca-certificates-2~ --> conda-forge::ca-certificates-2022.12.7-h5b45459_0
  certifi            anaconda/pkgs/main/win-64::certifi-20~ --> conda-forge/noarch::certifi-2022.12.7-pyhd8ed1ab_0
 
 
Proceed ([y]/n)? n

不恰当的url Channel导致的错误

于是我尝试使用-c url的方式来指定通道,没想清华源和阿里源都提示:UnavailableInvalidChannel: HTTP 404 NOT FOUND for channel anaconda/cloud...

后来发现,是url不完整的问题

 conda search -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/  pyside6
conda search -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge  pyside6

其中第一条语句后缀conda-forge缺失,尽管您可以通过浏览器打开该页面,但是却不能够用于conda -c的参数

Channel指定使用完整的url链接conda install@conda临时换源

conda install 安装pyside6🎈

假设您的源(channel)更换国内源
- 以清华源为例,使用conda install pyside6和conda install -c conda-forge pyside6大概率是下载不下来的

检查当前的conda-forge Channel是否提供pyside6

 PS C:\Users\cxxu\Desktop> conda search -c conda-forge  pyside6
Loading channels: done
# Name                       Version           Build  Channel
pyside6                        6.4.0 py310h7a8ee39_0  conda-forge
pyside6                        6.4.0 py310h7a8ee39_1  conda-forge
pyside6                        6.4.0 py310h7a8ee39_2  conda-forge
pyside6                        6.4.0 py310h7a8ee39_3  conda-forge

此时用用的是清华源的Channel配置,虽然通过conda search -c conda-forge pyside6检查发现存在相关的包,但是当我安装的时候却一直停留在solving environment...这一步

我猜测应该是国内源提供的配置方法存在一定问题
- 查阅conda channel_alias的文档发现,conda-forge是一个缩写,执行的时候会插入一个前缀url
- 您可以通过conda config --show 来检查
- 后面会小结继续讨论channel_alias字段

国内Channel安装

conda search -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge pyside6

查找是否提供相关的包

 PS D:\repos\blogs\python> conda search -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge  pyside6
Loading channels: done
# Name                       Version           Build  Channel
pyside6                        6.4.0 py310h7a8ee39_0  anaconda/cloud/conda-forge
pyside6                        6.4.0 py310h7a8ee39_1  anaconda/cloud/conda-forge
pyside6                        6.4.0 py310h7a8ee39_2  anaconda/cloud/conda-forge
pyside6                        6.4.0 py310h7a8ee39_3  anaconda/cloud/conda-forge

安装

 PS D:\repos\blogs\python> conda activate pyside_conda
(d:\condaPythonEnvs\pyside_conda) PS D:\repos\blogs\python> conda install -c https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge pyside6
 
Collecting package metadata (current_repodata.json): done
Solving environment: done
 
## Package Plan ##
 
  environment location: d:\condaPythonEnvs\pyside_conda
 
  added / updated specs:
    - pyside6
 
 
The following packages will be downloaded:
 
    package                    |            build
    ---------------------------|-----------------
    bzip2-1.0.8                |       h8ffe710_4         149 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
    cairo-1.16.0               |    hd694305_1014         2.3 MB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
    double-conversion-3.2.0    |       h63175ca_1          72 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
    expat-2.5.0                |       h1537add_0         339 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
    font-ttf-dejavu-sans-mono-2.37|       hab24e00_0         388 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
...
 
https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
    vs2015_runtime-14.34.31931 |      h4c5c07a_10         708 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
    wheel-0.40.0               |     pyhd8ed1ab_0          54 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
    xz-5.2.6                   |       h8d14728_0         213 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
    zlib-1.2.13                |       hcfcfb64_4         113 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
    zstd-1.5.2                 |       h12be248_6         282 KB  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/conda-forge
    ------------------------------------------------------------
                                           Total:       159.7 MB
 
The following NEW packages will be INSTALLED:
 
  bzip2              anaconda/cloud/conda-forge/win-64::bzip2-1.0.8-h8ffe710_4
  ca-certificates    anaconda/cloud/conda-forge/win-64::ca-certificates-2022.12.7-h5b45459_0
  cairo              anaconda/cloud/conda-forge/win-64::cairo-1.16.0-hd694305_1014
  ...
  xz                 anaconda/cloud/conda-forge/win-64::xz-5.2.6-h8d14728_0
  zlib               anaconda/cloud/conda-forge/win-64::zlib-1.2.13-hcfcfb64_4
  zstd               anaconda/cloud/conda-forge/win-64::zstd-1.5.2-h12be248_6
 
 
Proceed ([y]/n)? y
 
 
Downloading and Extracting Packages
 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
(d:\condaPythonEnvs\pyside_conda) PS D:\repos\blogs\python>

conda默认源安装

我再尝试用conda的默认的源:

https://conda.anaconda.org/conda-forge/
完整命令为conda install -c https://conda.anaconda.org/conda-forge/ pyside6

 (d:\condaPythonEnvs\pt2.0) PS D:\repos\blogs\python> conda install -c https://conda.anaconda.org/conda-forge/ pyside6
Collecting package me- data (current_repodata.json): done
Solving environment: done
 
## Package Plan ##
 
  environment location: d:\condaPythonEnvs\pt2.0
 
  added / updated specs:
    - pyside6
 
 
The following packages will be downloaded:
 
    package                    |            build
    ---------------------------|-----------------
    cairo-1.16.0               |    hd694305_1014         2.3 MB  conda-forge
    double-conversion-3.2.0    |       h63175ca_1          72 KB  conda-forge
    expat-2.5.0                |       h1537add_0         339 KB  conda-forge
    font-ttf-dejavu-sans-mono-2.37|       hab24e00_0         388 KB  conda-forge
    font-ttf-inconsolata-3.000 |       h77eed37_0          94 KB  conda-forge
    font-ttf-source-code-pro-2.038|       h77eed37_0         684 KB  conda-forge
    font-ttf-ubuntu-0.83       |       hab24e00_0         1.9 MB  conda-forge
    fontconfig-2.14.2          |       hbde0cde_0         186 KB  conda-forge
    ...

官方源,可想而知,是相当慢

default_channels🎈

Using the .condarc conda configuration file — conda 23.3.0.post2+8419c02f5 documentation

设置方法(命令行方法)

以国内的清华源为例:

  conda config --set  channel_alias  https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud/

检查:conda config --show channel_alias

 PS C:\Users\cxxu\Desktop> conda config --show channel_alias
channel_alias: https://mirrors.tuna.tsinghua.edu.cn/anaconda/cloud

Channel alias@Set a channel alias (channel_alias)

Using the .condarc conda configuration file — conda 23.3.0.post2+8419c02f5 documentation
每当您使用-c或–channel标志向conda提供不是URL的通道名称时，conda都会将channel_alias前缀添加到它所给出的名称。默认的channel_alias是https://conda.anaconda.org。
如果channel_alias设置为https://my.anaconda.repo:8080/conda/，则运行命令conda install -c conda-forge some-package的用户将从https://my.anaconda.repo:8080/conda/conda-forge安装软件包some-package。

检查默认的channel_alias值

以powershell为例:conda config --show |sls channel_alias

 PS C:\Users\cxxu\Desktop> conda config --show |sls channel_alias
 
channel_alias: https://conda.anaconda.org
migrated_channel_aliases: []

如果没有设置过,那么默认值为https://conda.anaconda.org

examples:

例如，命令：

conda install --channel asmeurer <package> 与以下命令相同：

conda install --channel https://conda.anaconda.org/asmeurer <package>

将channel_alias设置为自己的存储库

例如：将channel_alias设置为https://your.repo/的存储库：channel_alias: https://your.repo/
在Windows上，您必须在URL末尾包含斜杠（“/”）：
- 例如：https://your.repo/conda/
当channel_alias设置为https://your.repo.com的存储库时：
- conda install --channel jsmith <package> 与以下命令相同：
- conda install --channel https://your.repo.com/jsmith <package>

posted @ 2023-03-20 16:15 xuchaoxin1375 阅读(26) 评论(0) 编辑收藏举报来源

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