我获得了一个 environment.ubuntu.yml 文件，以便能够创建 conda 环境.但是，运行 conda create env --file environment.ubuntu.yml 我得到以下输出:
I was provided with an environment.ubuntu.yml file to be able to create a conda environment. However, running conda create env --file environment.ubuntu.yml I get the following output:
conda env create --file environment.ubuntu.yml
Collecting package metadata (repodata.json): done
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
Examining fontconfig: 5%|▉ | 10/202 [00:00<00:00, 5393.91it/ ]
Comparing specs that have this dependency: 0%| | 0/12 [00:00<?, ?it/s]
Finding shortest confli| path for fontconfig==2.13.1=he4413a7_1000: 12%|▏| 1/8
Finding shortest conflict path for fontconfig==2.13.1=he4413a7_1000: 25%|▎| 2/8
Finding shortest conflict pa/ for fontconfig[version='>=2.13.0,<3.0a0']: 25%|
Finding shortest conflict path for fontconfig[version='>=2.13.0,<3.0a0']: 38%|
Finding shortest conf- ct path for fontconfig[version='>=2.11.1']: 38%|▍| 3/8 [
Finding shortest conflict path for fontconfig[version='>=2.11.1']: 50%|▌| 4/8 [
Finding shortest conflict pa| for fontconfig[version='>=2.12.4,<3.0a0']: 50%|
...
寻找最短冲突路径 持续了很长时间 - 显然它正在尝试解决一些依赖问题.运行了 2 个小时，它是否会停止尚不清楚.
The Finding shortest conflict path goes on for a long time - apparently it is trying to resolve some dependency issues. Running for 2 hours it is not clear if it will ever stop.
我的问题是:这里发生了什么，我可以以某种方式手动加速这个过程，例如通过删除不必要的依赖项?由于我没有创建环境，我不知道哪些是真正必要的.
My question is: what is happening here and can I somehow manually speed up this process, e.g. by removing unnecessary dependencies? Since I did not create the environment I don't know which are actually necessary.
我之所以好奇是因为它正在检查 fontconfig[version='>=2.12.6,<3.0a0'] 之类的冲突路径，而 依赖项是2.13.1，我是通过2.13.1
The reason why I'm curious is because it is checking conflict paths like fontconfig[version='>=2.12.6,<3.0a0'] when the one in dependencies is 2.13.1 and I have installed it through 2.13.1
请在下面找到 .yml 文件以供参考.
Please find below the .yml file for reference.
name: cea
channels:
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free
- dlr-sc
- https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/main
- conda-forge
- conda-forge/label/gcc7
- defaults
dependencies:
- attrs=19.1.0=py_0
- backports=1.0=py_2
- backports.functools_lru_cache=1.5=py_1
- backports_abc=0.5=py_1
- boost-cpp=1.68.0=h11c811c_1000
- bzip2=1.0.6=h14c3975_1002
- ca-certificates=2019.3.9=hecc5488_0
- cairo=1.14.12=h80bd089_1005
- certifi=2019.3.9=py27_0
- click=7.0=py_0
- click-plugins=1.0.4=py_0
- cligj=0.5.0=py_0
- curl=7.64.1=hf8cf82a_0
- cycler=0.10.0=py_1
- descartes=1.1.0=py_2
- enum34=1.1.6=py27_1001
- expat=2.2.5=hf484d3e_1002
- fiona=1.8.6=py27hf242f0b_2
- fontconfig=2.13.1=he4413a7_1000
- freetype=2.10.0=he983fc9_0
- freexl=1.0.5=h14c3975_1002
- functools32=3.2.3.2=py_3
- futures=3.2.0=py27_1000
- gdal=2.4.1=py27h5f563d9_8
- geopandas=0.4.1=py_1
- geos=3.7.1=hf484d3e_1000
- geotiff=1.4.3=h1105359_1000
- gettext=0.19.8.1=hc5be6a0_1002
- giflib=5.1.7=h516909a_1
- glib=2.56.2=had28632_1001
- hdf4=4.2.13=h9a582f1_1002
- hdf5=1.10.4=nompi_h3c11f04_1106
- icu=58.2=hf484d3e_1000
- jpeg=9c=h14c3975_1001
- json-c=0.13.1=h14c3975_1001
- kealib=1.4.10=h1978553_1003
- kiwisolver=1.0.1=py27h6bb024c_1002
- krb5=1.16.3=h05b26f9_1001
- libblas=3.8.0=4_openblas
- libcblas=3.8.0=4_openblas
- libcurl=7.64.1=hda55be3_0
- libdap4=3.19.1=hd48c02d_1000
- libedit=3.1.20170329=hf8c457e_1001
- libffi=3.2.1=he1b5a44_1006
- libgdal=2.4.1=heae24aa_8
- libiconv=1.15=h516909a_1005
- libkml=1.3.0=h328b03d_1009
- liblapack=3.8.0=4_openblas
- libnetcdf=4.6.2=hbdf4f91_1001
- libpng=1.6.36=h84994c4_1000
- libpq=11.2=h4770945_0
- libspatialindex=1.9.0=he1b5a44_0
- libspatialite=4.3.0a=hb5ec416_1026
- libssh2=1.8.2=h22169c7_2
- libtiff=4.0.10=h648cc4a_1001
- libuuid=2.32.1=h14c3975_1000
- libxcb=1.13=h14c3975_1002
- libxml2=2.9.8=h143f9aa_1005
- mapclassify=1.0.1=py27_1
- matplotlib=2.2.3=py27h8a2030e_1
- matplotlib-base=2.2.3=py27h60b886d_1
- munch=2.3.2=py_0
- ncurses=6.1=hf484d3e_1002
- numpy=1.16.2=py27h8b7e671_1
- openblas=0.3.5=h9ac9557_1001
- openjpeg=2.3.0=hf38bd82_1003
- openssl=1.1.1b=h14c3975_1
- pandas=0.24.2=py27hf484d3e_0
- pip=19.0.3=py27_0
- pixman=0.34.0=h14c3975_1003
- poppler=0.67.0=h2fc8fa2_1002
- poppler-data=0.4.9=1
- postgresql=11.2=h61314c7_0
- proj4=5.2.0=h14c3975_1001
- pthread-stubs=0.4=h14c3975_1001
- pyparsing=2.3.1=py_0
- pyproj=1.9.6=py27hc0953d3_1000
- pyqt=5.6.0=py27h13b7fb3_1008
- python=2.7.15=h721da81_1008
- python-dateutil=2.8.0=py_0
- pytz=2018.9=py_0
- readline=7.0=hf8c457e_1001
- rtree=0.8.3=py27h666c49c_1002
- scipy=1.2.1=py27h09a28d5_1
- setuptools=40.8.0=py27_0
- shapely=1.6.4=py27h2afed24_1003
- singledispatch=3.4.0.3=py27_1000
- sip=4.18.1=py27hf484d3e_1000
- six=1.12.0=py27_1000
- sqlite=3.26.0=h67949de_1001
- subprocess32=3.5.3=py27h14c3975_0
- tbb=2019.5=hc9558a2_0
- tk=8.6.9=h84994c4_1001
- tornado=5.1.1=py27h14c3975_1000
- tzcode=2018g=h14c3975_1001
- wheel=0.33.1=py27_0
- xerces-c=3.2.2=hac72e42_1001
- xorg-kbproto=1.0.7=h14c3975_1002
- xorg-libice=1.0.9=h516909a_1004
- xorg-libsm=1.2.3=h84519dc_1000
- xorg-libx11=1.6.7=h14c3975_1000
- xorg-libxau=1.0.9=h14c3975_0
- xorg-libxdmcp=1.1.3=h516909a_0
- xorg-libxext=1.3.4=h516909a_0
- xorg-libxrender=0.9.10=h516909a_1002
- xorg-renderproto=0.11.1=h14c3975_1002
- xorg-xextproto=7.3.0=h14c3975_1002
- xorg-xproto=7.0.31=h14c3975_1007
- xz=5.2.4=h14c3975_1001
- zlib=1.2.11=h14c3975_1004
- freeimageplus=3.18.0=hf484d3e_2
- gl2ps=1.3.8=h14c3975_4
- oce=0.17.2=h6bb024c_10
- pythonocc-core=0.17=py27_1
- mkl=2017.0.3=0
- mkl-service=1.1.2=py27_3
- dbus=1.13.2=h714fa37_1
- gst-plugins-base=1.14.0=hbbd80ab_1
- gstreamer=1.14.0=hb453b48_1
- libgcc-ng=8.2.0=hdf63c60_1
- libgfortran-ng=7.3.0=hdf63c60_0
- libstdcxx-ng=8.2.0=hdf63c60_1
- pcre=8.43=he6710b0_0
- qt=5.6.3=h8bf5577_3
- pip:
- alabaster==0.7.12
- babel==2.6.0
- backports.shutil-get-terminal-size==1.0.0
- bleach==3.1.0
- chardet==3.0.4
- cloudpickle==0.8.1
- configparser==3.7.4
- cvxopt==1.2.3
- decorator==4.4.0
- defusedxml==0.5.0
- docutils==0.14
- doit==0.29.0
- entrypoints==0.3
- ephem==3.7.6.0
- funcsigs==1.0.2
- h5py==2.9.0
- idna==2.8
- imagesize==1.1.0
- importlib-resources==1.0.2
- ipaddress==1.0.22
- ipykernel==4.10.0
- ipython==5.8.0
- ipython-genutils==0.2.0
- ipywidgets==7.4.2
- jinja2==2.10
- joblib==0.12.5
- jsonschema==3.0.1
- jupyter==1.0.0
- jupyter-client==5.2.4
- jupyter-console==5.2.0
- jupyter-core==4.4.0
- llvmlite==0.28.0
- lxml==4.3.3
- markupsafe==1.1.1
- mistune==0.8.4
- mock==2.0.0
- nbconvert==5.4.1
- nbformat==4.4.0
- networkx==2.2
- notebook==5.7.8
- numba==0.43.1
- packaging==19.0
- pandocfilters==1.4.2
- pathlib2==2.3.3
- patsy==0.5.1
- pbr==5.1.3
- pexpect==4.6.0
- pickleshare==0.7.5
- pkginfo==1.5.0.1
- plotly==3.7.1
- prometheus-client==0.6.0
- prompt-toolkit==1.0.15
- ptyprocess==0.6.0
- py4design==0.27
- pycollada==0.6
- pygments==2.3.1
- pyinotify==0.9.6
- pymc3==3.6
- pymf==0.1.9
- pyrsistent==0.14.11
- pysal==1.14.4.post2
- pyshp==2.1.0
- pyyaml==5.1
- pyzmq==18.0.1
- qtconsole==4.4.3
- readme-renderer==24.0
- requests==2.21.0
- requests-toolbelt==0.9.1
- retrying==1.3.3
- salib==1.2
- scandir==1.10.0
- scikit-learn==0.20.3
- seaborn==0.9.0
- send2trash==1.5.0
- simplegeneric==0.8.1
- snowballstemmer==1.2.1
- sphinx==1.8.5
- sphinxcontrib-websupport==1.1.0
- terminado==0.8.2
- testpath==0.4.2
- theano==1.0.4
- timezonefinder==4.0.1
- tqdm==4.31.1
- traitlets==4.3.2
- twine==1.13.0
- typing==3.6.6
- urllib3==1.24.1
- utm==0.4.2
- wcwidth==0.1.7
- webencodings==0.5.1
- widgetsnbextension==3.4.2
- xlrd==1.2.0
- xlwt==1.3.0
- deap==1.3.0
这个错误和后续的行为很可能来自Anaconda bug 不时导致本地环境不一致.截至 2020 年 1 月 26 日，该错误尚未解决.
This error and the subsequent behaviour is very likely coming from the Anaconda bug which from time to time causes inconsistencies in the local environment. As of Jan 26th, 2020 the bug was not yet resolved.
对我来说，同样的问题在 Mac 上也很明显.
For me the same problem manifests profoundly on Mac.
这篇关于创建 conda 环境:“发现冲突！"在解决环境和“寻找最短冲突路径"时永远奔跑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跟版网！