Installation 如何从yml文件*中创建自定义python环境，下载*缺少的包

我正在尝试构建一个支持旧hddm库的python 3.5环境。标准方法失败，因为my/anaconda显然无法忽略（或降级）10.1 cuda库，而支持使用hddm的旧库

有一个描述成功环境的yml文件可用。但是广告的命令

conda env create-文件hddm\u py35.yml

失败，出现一个错误，列出所有包“未找到”。以下是错误

（基本）PS C:\Users\Peter\anaconda3\u Sep2020>conda env create--file.\hddm\u py35.yml 收集包元数据（repodata.json）：完成 解决环境：失败

ResolvePackageNotFound：

• odo==0.5.0=py35_1
• cffi==1.7.0=py35_0
• dill==0.2.5=py35_0
• singledispatch==3.4.0.3=py35_0
• nb_conda_内核==2.0.0=py35_0
• 请求==2.14.2=py35_0
• scikit学习==0.17.1=np111py35_1
• 车轮==0.29.0=py35_0
• 绝地==0.9.0=py35_1
• widgetsnbextension==1.2.6=py35_0
• 位数组==0.8.1=py35_1
• theano==1.0.2=py35_0
• pytz==2016.6.1=py35_0
• pylint==1.5.4=py35_1
• ruamel_yaml==0.11.14=py35_0
• partd==0.3.6=py35_0
• llvmlite==0.13.0=py35_0
• 乘数=0.4.8=py35_0
• pyparsing==2.1.4=py35_0
• 控制台快捷方式==0.1.1=py35\u 1
• ipython_genutils==0.1.0=py35_0
• 帕特西==0.4.1=py35_0
• pytest==2.9.2=py35_0
• heapdict==1.0.0=py35_1
• ipywidgets==5.2.2=py35_0
• 波基==0.12.2=py35_0
• hdf5==1.8.15.1=2
• networkx==1.11=py35\u 0
• 后端口==1.0=py35_0
• pyasn1==0.1.9=py35_0
• pyqt==5.6.0=py35h6538335_6
• zlib==1.2.11=hbb18732_2
• et_xmlfile==1.0.1=py35_0
• traitlets==4.3.0=py35_0
• colorama==0.3.7=py35_0
• argcomplete==1.0.0=py35_1
• pywin32==220=py35_1
• astropy==1.2.1=np111py35_0
• 鼻=1.3.7=py35_1
• freetype==2.8=h0224ed4_1
• pkginfo==1.3.2=py35_0
• cloudpickle==0.2.1=py35_0
• sqlalchemy==1.0.13=py35_0
• 惰性对象代理==1.2.1=py35_0
• markupsafe==0.23=py35_2
• prompt_toolkit==1.0.3=py35_0
• pickleshare==0.7.4=py35_0
• 它的危险性==0.24=py35_0
• 巴别塔==2.3.4=py35_0
• 点击==6.6=py35_0
• 六=1.10.0=py35_0
• libdynd==0.7.2=0
• jdcal==1.2=py35_1
• pymc==2.3.6=np111py35_2
• pathlib2==2.1.0=py35_0
• 星体==1.4.7=py35_0
• numba==0.28.1=np111py35_0
• qtconsole==4.2.1=py35_2
• wrapt==1.10.6=py35_0
• idna==2.1=py35_0
• pytables==3.2.2=np111py35_4
• _nb_ext_conf==0.3.0=py35_0
• dynd python==0.7.2=py35_0
• numexpr==2.6.1=np111py35_0
• werkzeug==0.11.11=py35_0
• 绳索==0.9.4=py35_1
• jupyter\U客户端==4.4.0=py35\u 0
• pyzmq==15.4.0=py35_0
• python dateutil==2.5.3=py35_0
• beautifulsoup4==4.5.1=py35_0
• 火焰==0.10.1=py35_0
• nbformat==4.1.0=py35_0
• nbpresent==3.0.2=py35_0
• sip==4.18=py35_0
• 胸部==0.2.3=py35_0
• glob2==0.5=py35_0
• 小盒==0.2.0=py35_1
• 失谐==0.7.3=py35_0
• 雪花石膏==0.7.9=py35_0
• setuptools==27.2.0=py35_1
• win_unicode_控制台==0.5=py35_0
• filelock==2.0.6=py35_0
• _许可证==1.1=py35_1
• ipykernel==4.5.0=py35_0
• qt==5.6.2=vc14h6f76a7e_12
• pep8==1.7.0=py35_0
• xlwings==0.10.0=py35_0
• spyder==3.0.0=py35_0
• xlrd==1.0.0=py35_0
• scipy==0.18.1=np111py35_0
• dask==0.11.0=py35_0
• nbconvert==4.2.0=py35_0
• pip==8.1.2=py35_0
• mkl==11.3.3=1
• nb_anacondacloud==1.2.0=py35_0
• cython==0.24.1=py35_0
• 烧瓶cors==2.1.2=py35_0
• ipython==5.1.0=py35_0
• 循环器==0.10.0=py35_0
• jpeg==9b=he27b436_2
• menuinst==1.4.1=py35_0
• 蟒蛇==4.2.0=np111py35_0
• configobj==5.0.6=py35_0
• boto==2.42.0=py35_0
• Unicodesv==0.14.1=py35_0
• scikit图像==0.12.3=np111py35_1
• contextlib2==0.5.3=py35_0
• conda构建==3.0.19=py35h15d37ab_0
• 金甲2==2.8=py35_1
• 康达验证==2.0.0=py35_0
• get_terminal_size==1.0.0=py35_0
• qtpy==1.1.2=py35_0
• anaconda客户端==1.5.1=py35_0
• 装饰器==4.0.10=py35_0
• 厚度=3.9=py35_0
• openpyxl==2.3.2=py35_0
• sockjs tornado==1.0.3=py35_0
• pyyaml==3.12=py35_0
• snowballstemmer==1.2.1=py35_0
• toolz==0.8.0=py35_0
• py==1.4.31=py35_0
• xlwt==1.1.2=py35_0
• clyent==1.2.2=py35_0
• 瓶颈==1.1.0=np111py35_0
• jupyter==1.0.0=py35_3
• mkl服务==1.1.2=py35_2
• simplegeneric==0.8.1=py35_1
• wcwidth==0.1.7=py35_0
• h5py==2.6.0=np111py35_2
• gevent==1.1.2=py35_0
• pycrypto==2.6.1=py35_4
• 数据形状==0.5.2=py35_0
• psutil==4.3.1=py35_0
• nltk==3.2.1=py35_0
• jsonschema==2.5.1=py35_0
• 笔记本==4.2.3=py35_0
• pycparser==2.14=py35\u 1
• xlsxwriter==0.9.3=py35_0
• jupyter_core==4.2.0=py35_0
• qtawesome==0.3.3=py35_0
• fastcache==1.0.2=py35_1
• jupyter_控制台==5.0.0=py35_0
• 龙卷风==4.4.1=py35_0
• path.py==8.2.1=py35_0
• pyflakes==1.3.0=py35_0
• sympy==1.0=py35_0
• 熊猫==0.20.1=np111py35_0
• pygments==2.1.3=py35_0
• 水蟒清洁==1.0.0=py35_0
• mpmath==0.19=py35_1
• comtypes==1.1.2=py35_0
• 加密==1.5=py35_0
• chardet==3.0.4=py35_0
• 入口点==0.2.2=py35_0
• 斯芬克斯==1.4.6=py35_0
• greenlet==0.4.10=py35_0
• 水蟒导航器==1.3.1=py35_0
• 烧瓶==0.11.1=py35_0
• pyopenssl==16.2.0=py35_0
• lxml==3.6

  1) Am I supposed to download these packages, put them somewhere, and then 
  tell conda to find them on my hard drive?
  

  2) Is there a flag that tells conda to do its usually find-and-load for all 
  "missing" packages -- but only in the environment I'm describing? In my base 
  environment (3.8) I don't wish to downgrade.
  

  3) Should make a new 3.5 environment and then work through the list one-by-
  one and uninstall/remove/downgrade each package by hand?
  

  4) Meta question: This must be a FAQ, and yet I'm not able to google for the 
  answer. That usually means googling for "conda install environment from yaml 
  file" doesn't contain the appropriate vocabulary for, well, trying to induce 
  conda to install an environment from a yaml file. What question should I have 
  asked?