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Anaconda 纳格托 宏观顾问办公室没有在视窗工作
原标题：Anaconda Navigator Backup on Mac OS is not working on Windows

我在麦加的航道环境中得到支持,但当我把它进口到窗户上时,我就没有工作,并且显示包裹没有发现的错误:

name: university_web_scraping
channels:
  - conda-forge
  - defaults
dependencies:
  - anyio=4.2.0=py310hecd8cb5_0
  - appnope=0.1.2=py310hecd8cb5_1001
  - argon2-cffi=21.3.0=pyhd3eb1b0_0
  - argon2-cffi-bindings=21.2.0=py310hca72f7f_0
  - asttokens=2.0.5=pyhd3eb1b0_0
  - async-lru=2.0.4=py310hecd8cb5_0
  - attrs=23.1.0=py310hecd8cb5_0
  - babel=2.11.0=py310hecd8cb5_0
  - beautifulsoup4=4.12.2=py310hecd8cb5_0
  - blas=1.0=mkl
  - bleach=4.1.0=pyhd3eb1b0_0
  - bottleneck=1.3.7=py310h7b7cdfe_0
  - bzip2=1.0.8=h6c40b1e_6
  - ca-certificates=2024.3.11=hecd8cb5_0
  - certifi=2024.2.2=py310hecd8cb5_0
  - cffi=1.16.0=py310h6c40b1e_1
  - charset-normalizer=2.0.4=pyhd3eb1b0_0
  - chart-studio=1.1.0=pyh9f0ad1d_0
  - comm=0.2.1=py310hecd8cb5_0
  - debugpy=1.6.7=py310hcec6c5f_0
  - decorator=5.1.1=pyhd3eb1b0_0
  - defusedxml=0.7.1=pyhd3eb1b0_0
  - exceptiongroup=1.2.0=py310hecd8cb5_0
  - executing=0.8.3=pyhd3eb1b0_0
  - html5lib=1.1=pyhd3eb1b0_0
  - icu=73.1=hcec6c5f_0
  - idna=3.7=py310hecd8cb5_0
  - intel-openmp=2023.1.0=ha357a0b_43548
  - ipykernel=6.28.0=py310hecd8cb5_0
  - ipython=8.20.0=py310hecd8cb5_0
  - jedi=0.18.1=py310hecd8cb5_1
  - jinja2=3.1.3=py310hecd8cb5_0
  - json5=0.9.6=pyhd3eb1b0_0
  - jsonschema=4.19.2=py310hecd8cb5_0
  - jsonschema-specifications=2023.7.1=py310hecd8cb5_0
  - jupyter-lsp=2.2.0=py310hecd8cb5_0
  - jupyter_client=8.6.0=py310hecd8cb5_0
  - jupyter_core=5.5.0=py310hecd8cb5_0
  - jupyter_events=0.8.0=py310hecd8cb5_0
  - jupyter_server=2.10.0=py310hecd8cb5_0
  - jupyter_server_terminals=0.4.4=py310hecd8cb5_1
  - jupyterlab=4.0.11=py310hecd8cb5_0
  - jupyterlab_pygments=0.1.2=py_0
  - jupyterlab_server=2.25.1=py310hecd8cb5_0
  - libcxx=14.0.6=h9765a3e_0
  - libffi=3.4.4=hecd8cb5_1
  - libiconv=1.16=h6c40b1e_3
  - libsodium=1.0.18=h1de35cc_0
  - libxml2=2.10.4=h45904e2_2
  - libxslt=1.1.37=h6c40b1e_1
  - lxml=5.2.1=py310h946e0e5_0
  - markupsafe=2.1.3=py310h6c40b1e_0
  - matplotlib-inline=0.1.6=py310hecd8cb5_0
  - mechanize=0.4.10=pyhd8ed1ab_0
  - mistune=2.0.4=py310hecd8cb5_0
  - mkl=2023.1.0=h8e150cf_43560
  - mkl-service=2.4.0=py310h6c40b1e_1
  - mkl_fft=1.3.8=py310h6c40b1e_0
  - mkl_random=1.2.4=py310ha357a0b_0
  - nbclient=0.8.0=py310hecd8cb5_0
  - nbconvert=7.10.0=py310hecd8cb5_0
  - nbformat=5.9.2=py310hecd8cb5_0
  - ncurses=6.4=hcec6c5f_0
  - nest-asyncio=1.6.0=py310hecd8cb5_0
  - notebook=7.0.8=py310hecd8cb5_0
  - notebook-shim=0.2.3=py310hecd8cb5_0
  - numexpr=2.8.7=py310h827a554_0
  - numpy=1.26.4=py310h827a554_0
  - numpy-base=1.26.4=py310ha186be2_0
  - openssl=3.0.13=hca72f7f_1
  - overrides=7.4.0=py310hecd8cb5_0
  - packaging=23.2=py310hecd8cb5_0
  - pandas=2.2.1=py310hcec6c5f_0
  - pandocfilters=1.5.0=pyhd3eb1b0_0
  - parso=0.8.3=pyhd3eb1b0_0
  - pexpect=4.8.0=pyhd3eb1b0_3
  - pip=24.0=py310hecd8cb5_0
  - platformdirs=3.10.0=py310hecd8cb5_0
  - plotly=5.19.0=py310h20db666_0
  - prometheus_client=0.14.1=py310hecd8cb5_0
  - prompt-toolkit=3.0.43=py310hecd8cb5_0
  - prompt_toolkit=3.0.43=hd3eb1b0_0
  - psutil=5.9.0=py310hca72f7f_0
  - ptyprocess=0.7.0=pyhd3eb1b0_2
  - pure_eval=0.2.2=pyhd3eb1b0_0
  - pycparser=2.21=pyhd3eb1b0_0
  - pygments=2.15.1=py310hecd8cb5_1
  - python=3.10.14=h5ee71fb_1
  - python-dateutil=2.9.0post0=py310hecd8cb5_0
  - python-fastjsonschema=2.16.2=py310hecd8cb5_0
  - python-json-logger=2.0.7=py310hecd8cb5_0
  - python-tzdata=2023.3=pyhd3eb1b0_0
  - pytz=2024.1=py310hecd8cb5_0
  - pyyaml=6.0.1=py310h6c40b1e_0
  - pyzmq=25.1.2=py310hcec6c5f_0
  - readline=8.2=hca72f7f_0
  - referencing=0.30.2=py310hecd8cb5_0
  - requests=2.31.0=py310hecd8cb5_1
  - retrying=1.3.3=pyhd3eb1b0_2
  - rfc3339-validator=0.1.4=py310hecd8cb5_0
  - rfc3986-validator=0.1.1=py310hecd8cb5_0
  - rpds-py=0.10.6=py310hf2ad997_0
  - send2trash=1.8.2=py310hecd8cb5_0
  - setuptools=69.5.1=py310hecd8cb5_0
  - six=1.16.0=pyhd3eb1b0_1
  - sniffio=1.3.0=py310hecd8cb5_0
  - soupsieve=2.5=py310hecd8cb5_0
  - sqlite=3.45.3=h6c40b1e_0
  - stack_data=0.2.0=pyhd3eb1b0_0
  - tbb=2021.8.0=ha357a0b_0
  - tenacity=8.2.2=py310hecd8cb5_0
  - terminado=0.17.1=py310hecd8cb5_0
  - tinycss2=1.2.1=py310hecd8cb5_0
  - tk=8.6.14=h4d00af3_0
  - tomli=2.0.1=py310hecd8cb5_0
  - tornado=6.3.3=py310h6c40b1e_0
  - traitlets=5.7.1=py310hecd8cb5_0
  - typing-extensions=4.11.0=py310hecd8cb5_0
  - typing_extensions=4.11.0=py310hecd8cb5_0
  - tzdata=2024a=h04d1e81_0
  - urllib3=2.1.0=py310hecd8cb5_0
  - wcwidth=0.2.5=pyhd3eb1b0_0
  - webencodings=0.5.1=py310hecd8cb5_1
  - websocket-client=0.58.0=py310hecd8cb5_4
  - wheel=0.43.0=py310hecd8cb5_0
  - xz=5.4.6=h6c40b1e_1
  - yaml=0.2.5=haf1e3a3_0
  - zeromq=4.3.5=hcec6c5f_0

The Error:

Channels:
 - conda-forge
 - defaults
Platform: win-64
Collecting package metadata (repodata.json): done
Solving environment: failed

PackagesNotFoundError: The following packages are not available from current channels:

  - zeromq==4.3.5=hcec6c5f_0
  - yaml==0.2.5=haf1e3a3_0
  - xz==5.4.6=h6c40b1e_1
  - wheel==0.43.0=py310hecd8cb5_0
  - websocket-client==0.58.0=py310hecd8cb5_4
  - webencodings==0.5.1=py310hecd8cb5_1
  - urllib3==2.1.0=py310hecd8cb5_0
  - typing_extensions==4.11.0=py310hecd8cb5_0
  - typing-extensions==4.11.0=py310hecd8cb5_0
  - traitlets==5.7.1=py310hecd8cb5_0
  - tornado==6.3.3=py310h6c40b1e_0
  - tomli==2.0.1=py310hecd8cb5_0
  - tk==8.6.14=h4d00af3_0
  - tinycss2==1.2.1=py310hecd8cb5_0
  - terminado==0.17.1=py310hecd8cb5_0
  - tenacity==8.2.2=py310hecd8cb5_0
  - tbb==2021.8.0=ha357a0b_0
  - sqlite==3.45.3=h6c40b1e_0
  - soupsieve==2.5=py310hecd8cb5_0
  - sniffio==1.3.0=py310hecd8cb5_0
  - setuptools==69.5.1=py310hecd8cb5_0
  - send2trash==1.8.2=py310hecd8cb5_0
  - rpds-py==0.10.6=py310hf2ad997_0
  - rfc3986-validator==0.1.1=py310hecd8cb5_0
  - rfc3339-validator==0.1.4=py310hecd8cb5_0
  - requests==2.31.0=py310hecd8cb5_1
  - referencing==0.30.2=py310hecd8cb5_0
  - readline==8.2=hca72f7f_0
  - pyzmq==25.1.2=py310hcec6c5f_0
  - pyyaml==6.0.1=py310h6c40b1e_0
  - pytz==2024.1=py310hecd8cb5_0
  - python-json-logger==2.0.7=py310hecd8cb5_0
  - python-fastjsonschema==2.16.2=py310hecd8cb5_0
  - python-dateutil==2.9.0post0=py310hecd8cb5_0
  - python==3.10.14=h5ee71fb_1
  - pygments==2.15.1=py310hecd8cb5_1
  - psutil==5.9.0=py310hca72f7f_0
  - prompt-toolkit==3.0.43=py310hecd8cb5_0
  - prometheus_client==0.14.1=py310hecd8cb5_0
  - plotly==5.19.0=py310h20db666_0
  - platformdirs==3.10.0=py310hecd8cb5_0
  - pip==24.0=py310hecd8cb5_0
  - pandas==2.2.1=py310hcec6c5f_0
  - packaging==23.2=py310hecd8cb5_0
  - overrides==7.4.0=py310hecd8cb5_0
  - openssl==3.0.13=hca72f7f_1
  - numpy-base==1.26.4=py310ha186be2_0
  - numpy==1.26.4=py310h827a554_0
  - numexpr==2.8.7=py310h827a554_0
  - notebook-shim==0.2.3=py310hecd8cb5_0
  - notebook==7.0.8=py310hecd8cb5_0
  - nest-asyncio==1.6.0=py310hecd8cb5_0
  - ncurses==6.4=hcec6c5f_0
  - nbformat==5.9.2=py310hecd8cb5_0
  - nbconvert==7.10.0=py310hecd8cb5_0
  - nbclient==0.8.0=py310hecd8cb5_0
  - mkl_random==1.2.4=py310ha357a0b_0
  - mkl_fft==1.3.8=py310h6c40b1e_0
  - mkl-service==2.4.0=py310h6c40b1e_1
  - mkl==2023.1.0=h8e150cf_43560
  - mistune==2.0.4=py310hecd8cb5_0
  - matplotlib-inline==0.1.6=py310hecd8cb5_0
  - markupsafe==2.1.3=py310h6c40b1e_0
  - lxml==5.2.1=py310h946e0e5_0
  - libxslt==1.1.37=h6c40b1e_1
  - libxml2==2.10.4=h45904e2_2
  - libsodium==1.0.18=h1de35cc_0
  - libiconv==1.16=h6c40b1e_3
  - libffi==3.4.4=hecd8cb5_1
  - libcxx==14.0.6=h9765a3e_0
  - jupyterlab_server==2.25.1=py310hecd8cb5_0
  - jupyterlab==4.0.11=py310hecd8cb5_0
  - jupyter_server_terminals==0.4.4=py310hecd8cb5_1
  - jupyter_server==2.10.0=py310hecd8cb5_0
  - jupyter_events==0.8.0=py310hecd8cb5_0
  - jupyter_core==5.5.0=py310hecd8cb5_0
  - jupyter_client==8.6.0=py310hecd8cb5_0
  - jupyter-lsp==2.2.0=py310hecd8cb5_0
  - jsonschema-specifications==2023.7.1=py310hecd8cb5_0
  - jsonschema==4.19.2=py310hecd8cb5_0
  - jinja2==3.1.3=py310hecd8cb5_0
  - jedi==0.18.1=py310hecd8cb5_1
  - ipython==8.20.0=py310hecd8cb5_0
  - ipykernel==6.28.0=py310hecd8cb5_0
  - intel-openmp==2023.1.0=ha357a0b_43548
  - idna==3.7=py310hecd8cb5_0
  - icu==73.1=hcec6c5f_0
  - exceptiongroup==1.2.0=py310hecd8cb5_0
  - debugpy==1.6.7=py310hcec6c5f_0
  - comm==0.2.1=py310hecd8cb5_0
  - cffi==1.16.0=py310h6c40b1e_1
  - certifi==2024.2.2=py310hecd8cb5_0
  - ca-certificates==2024.3.11=hecd8cb5_0
  - bzip2==1.0.8=h6c40b1e_6
  - bottleneck==1.3.7=py310h7b7cdfe_0
  - beautifulsoup4==4.12.2=py310hecd8cb5_0
  - babel==2.11.0=py310hecd8cb5_0
  - attrs==23.1.0=py310hecd8cb5_0
  - async-lru==2.0.4=py310hecd8cb5_0
  - argon2-cffi-bindings==21.2.0=py310hca72f7f_0
  - appnope==0.1.2=py310hecd8cb5_1001
  - anyio==4.2.0=py310hecd8cb5_0

Current channels:

  - https://conda.anaconda.org/conda-forge/win-64
  - https://repo.anaconda.com/pkgs/main/win-64
  - https://repo.anaconda.com/pkgs/r/win-64
  - https://repo.anaconda.com/pkgs/msys2/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.
问题回答

我刚刚读到 rel=“nofollow noretinger”>https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html。 有一个关于创造类似环境的章节。

因此,跨平台的一揽子方案可能具有不同的版本。

Your best bet is to just lock in the versions of the packages you care about.

也可在启动环境时使用<条码>冻结<>代码>。

这里的答案确实是好的。

• 如何在平台之间共享环境

时间：2024-05-12 14:11:06


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