我正在尝试从 Windows PowerShell 运行 Python 应用程序的命令。我尝试按照教程设置GitHub 页面中概述的环境，但遇到了“PackagesNotFoundError”问题，并且缺少许多包。
给出错误的命令是：
$ conda env create -f environment.yml
这是我收到的错误消息。
PackagesNotFoundError: The following packages are not available from current channels:
- zlib==1.2.13=h5eee18b_0
- xz==5.4.2=h5eee18b_0
- wheel==0.38.4=py39h06a4308_0
- tk==8.6.12=h1ccaba5_0
- sqlite==3.41.2=h5eee18b_0
- setuptools==68.0.0=py39h06a4308_0
- readline==8.2=h5eee18b_0
- python==3.9.16=h955ad1f_3
- pip==23.2.1=py39h06a4308_0
- openssl==3.0.10=h7f8727e_0
- ncurses==6.4=h6a678d5_0
- libstdcxx-ng==11.2.0=h1234567_1
- libgomp==11.2.0=h1234567_1
- libgcc-ng==11.2.0=h1234567_1
- libffi==3.4.4=h6a678d5_0
- ld_impl_linux-64==2.38=h1181459_1
- ca-certificates==2023.05.30=h06a4308_0
- _openmp_mutex==5.1=1_gnu
Current channels:
- https://repo.anaconda.com/pkgs/main/win-64
- https://repo.anaconda.com/pkgs/r/win-64
- https://repo.anaconda.com/pkgs/msys2/win-64
- https://conda.anaconda.org/conda-forge/win-64
- https://repo.anaconda.com/pkgs/free/win-64
- https://repo.anaconda.com/pkgs/pro/win-64
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
最后，这是用于设置环境的.yml 文件。
name: automoldesigner
channels:
- defaults
dependencies:
- _libgcc_mutex=0.1=main
- _openmp_mutex=5.1=1_gnu
- ca-certificates=2023.05.30=h06a4308_0
- ld_impl_linux-64=2.38=h1181459_1
- libffi=3.4.4=h6a678d5_0
- libgcc-ng=11.2.0=h1234567_1
- libgomp=11.2.0=h1234567_1
- libstdcxx-ng=11.2.0=h1234567_1
- ncurses=6.4=h6a678d5_0
- openssl=3.0.10=h7f8727e_0
- pip=23.2.1=py39h06a4308_0
- python=3.9.16=h955ad1f_3
- readline=8.2=h5eee18b_0
- setuptools=68.0.0=py39h06a4308_0
- sqlite=3.41.2=h5eee18b_0
- tk=8.6.12=h1ccaba5_0
- tzdata=2023c=h04d1e81_0
- wheel=0.38.4=py39h06a4308_0
- xz=5.4.2=h5eee18b_0
- zlib=1.2.13=h5eee18b_0
- pip:
- aiohttp==3.8.5
- aiohttp-cors==0.7.0
- aiosignal==1.3.1
- async-timeout==4.0.3
- attrs==23.1.0
- autogluon-common==0.8.2
- autogluon-core==0.8.2
- autogluon-features==0.8.2
- autogluon-tabular==0.8.2
- blessed==1.20.0
- blis==0.7.10
- boto3==1.28.30
- botocore==1.31.30
- cachetools==5.3.1
- catalogue==2.0.9
- catboost==1.2
- certifi==2023.7.22
- charset-normalizer==3.2.0
- click==8.1.7
- cloudpickle==2.2.1
- colorful==0.5.5
- confection==0.1.1
- contourpy==1.1.0
- cycler==0.11.0
- cymem==2.0.7
- descriptastorus==2.6.1
- dimorphite-dl==1.3.2
- distlib==0.3.7
- fastai==2.7.12
- fastcore==1.5.29
- fastdownload==0.0.7
- fastprogress==1.0.3
- filelock==3.12.2
- fonttools==4.42.1
- frozenlist==1.4.0
- future==0.18.3
- google-api-core==2.11.1
- google-auth==2.22.0
- googleapis-common-protos==1.60.0
- gpustat==1.1
- grpcio==1.50.0
- hyperopt==0.2.7
- idna==3.4
- importlib-resources==6.0.1
- jinja2==3.1.2
- jmespath==1.0.1
- joblib==1.3.2
- jsonschema==4.19.0
- jsonschema-specifications==2023.7.1
- kiwisolver==1.4.4
- langcodes==3.3.0
- lightgbm==3.3.5
- markupsafe==2.1.3
- matplotlib==3.7.2
- molvs==0.1.1
- msgpack==1.0.5
- multidict==6.0.4
- murmurhash==1.0.9
- networkx==3.1
- numpy==1.25.2
- nvidia-cublas-cu11==11.10.3.66
- nvidia-cuda-nvrtc-cu11==11.7.99
- nvidia-cuda-runtime-cu11==11.7.99
- nvidia-cudnn-cu11==8.5.0.96
- nvidia-ml-py==12.535.77
- opencensus==0.11.2
- opencensus-context==0.1.3
- packaging==23.1
- pandas==1.5.3
- pandas-flavor==0.6.0
- pathy==0.10.2
- pillow==10.0.0
- platformdirs==3.10.0
- plotly==5.16.1
- preshed==3.0.8
- prometheus-client==0.17.1
- protobuf==4.24.1
- psutil==5.9.5
- py-spy==0.3.14
- py4j==0.10.9.7
- pyasn1==0.5.0
- pyasn1-modules==0.3.0
- pydantic==1.10.12
- pyparsing==3.0.9
- pyside6==6.5.2
- pyside6-addons==6.5.2
- pyside6-essentials==6.5.2
- python-dateutil==2.8.2
- python-graphviz==0.20.1
- pytz==2023.3
- pyyaml==6.0.1
- ray==2.3.1
- rdkit==2023.3.3
- referencing==0.30.2
- requests==2.31.0
- rpds-py==0.9.2
- rsa==4.9
- s3transfer==0.6.2
- scikit-learn==1.2.2
- scipy==1.11.2
- shiboken6==6.5.2
- six==1.16.0
- smart-open==6.3.0
- spacy==3.6.1
- spacy-legacy==3.0.12
- spacy-loggers==1.0.4
- srsly==2.4.7
- tabulate==0.9.0
- tenacity==8.2.3
- tensorboardx==2.6.2.2
- thinc==8.1.12
- threadpoolctl==3.2.0
- torch==1.13.1
- torchvision==0.14.1
- tqdm==4.66.1
- typer==0.9.0
- typing-extensions==4.7.1
- urllib3==1.26.16
- virtualenv==20.24.3
- wasabi==1.1.2
- wcwidth==0.2.6
- xarray==2023.8.0
- xgboost==1.7.6
- yarl==1.9.2
- zipp==3.16.2
我检查了频道和软件包，发现可用频道内所有软件包都有版本。但是，我不确定不同软件包中是否有不同的文件版本。
我也尝试更改子目录以确保 conda 使用了 Windows 版本的文件，但得到了相同的结果。
conda config --env --set subdir win-64
此外，我还添加了 conda-forge/broken/label 通道，但结果相同。我还切换了 environment.yml 文件，使每个数字后面都有星号，但这也不起作用。