I would like to publish the conda environment used for data analysis underlying a scientific paper. I saved the environment to a .yml file using conda env export > environment.yml
I was able to re-create the same environment on a different machine for a while using conda env create -f environment.yml
. A couple of months later, creating the environment from the same .yml file fails:
ResolvePackageNotFound:
- vc=14.1=h0510ff6_3
- vs2015_runtime=15.5.2=3
Presumably these versions are not longer available on the channels specified in the file? Or could this reflect a different issue?
Perhaps, the exact versions don't matter that much in my specific case but this issue seems to defeat the purpose of saving the environment in the first place. Is there a different command or strategy to save an environment in a way that would be more future-proof?
I am trying to install the environment using miniconda.
conda version 4.5.4
python version: 3.6.5.final.0
Here is the complete .yml file:
name: jlsocial
channels:
- conda-forge
- defaults
dependencies:
- ca-certificates=2018.4.16=0
- certifi=2018.4.16=py36_0
- libiconv=1.15=hfa6e2cd_1
- libxml2=2.9.8=haffccfe_2
- libxslt=1.1.32=h5632236_1
- lxml=4.2.3=py36heafd4d3_0
- openssl=1.0.2o=hfa6e2cd_1
- svglib=0.8.1=py36_0
- svgutils=0.3.0=py36_0
- backcall=0.1.0=py36_0
- blas=1.0=mkl
- bleach=2.1.3=py36_0
- blosc=1.14.3=he51fdeb_0
- bokeh=0.12.16=py36_0
- bzip2=1.0.6=hfa6e2cd_5
- click=6.7=py36hec8c647_0
- cloudpickle=0.5.3=py36_0
- colorama=0.3.9=py36h029ae33_0
- cycler=0.10.0=py36h009560c_0
- cytoolz=0.9.0.1=py36hfa6e2cd_0
- dask=0.17.5=py36_0
- dask-core=0.17.5=py36_0
- decorator=4.3.0=py36_0
- distributed=1.21.8=py36_0
- entrypoints=0.2.3=py36hfd66bb0_2
- freetype=2.8=h51f8f2c_1
- hdf5=1.10.2=hac2f561_1
- heapdict=1.0.0=py36_2
- html5lib=1.0.1=py36h047fa9f_0
- icc_rt=2017.0.4=h97af966_0
- icu=58.2=ha66f8fd_1
- imageio=2.3.0=py36_0
- intel-openmp=2018.0.0=8
- ipykernel=4.8.2=py36_0
- ipython=6.4.0=py36_0
- ipython_genutils=0.2.0=py36h3c5d0ee_0
- ipywidgets=7.2.1=py36_0
- jedi=0.12.0=py36_1
- jinja2=2.10=py36h292fed1_0
- jpeg=9b=hb83a4c4_2
- jsonschema=2.6.0=py36h7636477_0
- jupyter=1.0.0=py36_4
- jupyter_client=5.2.3=py36_0
- jupyter_console=5.2.0=py36h6d89b47_1
- jupyter_core=4.4.0=py36h56e9d50_0
- kiwisolver=1.0.1=py36h12c3424_0
- libpng=1.6.34=h79bbb47_0
- libsodium=1.0.16=h9d3ae62_0
- libtiff=4.0.9=hb8ad9f9_1
- locket=0.2.0=py36hfed976d_1
- lzo=2.10=h6df0209_2
- m2w64-gcc-libgfortran=5.3.0=6
- m2w64-gcc-libs=5.3.0=7
- m2w64-gcc-libs-core=5.3.0=7
- m2w64-gmp=6.1.0=2
- m2w64-libwinpthread-git=5.0.0.4634.697f757=2
- markupsafe=1.0=py36h0e26971_1
- matplotlib=2.2.2=py36h153e9ff_1
- mistune=0.8.3=py36hfa6e2cd_1
- mkl=2018.0.2=1
- mkl_fft=1.0.1=py36h452e1ab_0
- mkl_random=1.0.1=py36h9258bd6_0
- msgpack-python=0.5.6=py36he980bc4_0
- msys2-conda-epoch=20160418=1
- nbconvert=5.3.1=py36h8dc0fde_0
- nbformat=4.4.0=py36h3a5bc1b_0
- networkx=2.1=py36_0
- notebook=5.5.0=py36_0
- numexpr=2.6.5=py36hcd2f87e_0
- numpy=1.14.3=py36h9fa60d3_1
- numpy-base=1.14.3=py36h555522e_1
- olefile=0.45.1=py36_0
- opencv=3.3.1=py36h20b85fd_1
- packaging=17.1=py36_0
- pandas=0.23.0=py36h830ac7b_0
- pandoc=1.19.2.1=hb2460c7_1
- pandocfilters=1.4.2=py36h3ef6317_1
- parso=0.2.0=py36_0
- partd=0.3.8=py36hc8e763b_0
- patsy=0.5.0=py36_0
- pickleshare=0.7.4=py36h9de030f_0
- pillow=5.1.0=py36h0738816_0
- pip=10.0.1=py36_0
- prompt_toolkit=1.0.15=py36h60b8f86_0
- psutil=5.4.5=py36hfa6e2cd_0
- pygments=2.2.0=py36hb010967_0
- pyparsing=2.2.0=py36h785a196_1
- pyqt=5.9.2=py36h1aa27d4_0
- pytables=3.4.3=py36he6f6034_1
- python=3.6.5=h0c2934d_0
- python-dateutil=2.7.3=py36_0
- pytz=2018.4=py36_0
- pywavelets=0.5.2=py36hc649158_0
- pywinpty=0.5.1=py36_0
- pyyaml=3.12=py36h1d1928f_1
- pyzmq=17.0.0=py36hfa6e2cd_1
- qt=5.9.5=vc14he4a7d60_0
- qtconsole=4.3.1=py36h99a29a9_0
- reportlab=3.4.0=py36_0
- scikit-image=0.13.1=py36hfa6e2cd_1
- scikit-learn=0.19.1=py36h53aea1b_0
- scipy=1.1.0=py36h672f292_0
- seaborn=0.8.1=py36h9b69545_0
- send2trash=1.5.0=py36_0
- setuptools=39.1.0=py36_0
- simplegeneric=0.8.1=py36_2
- sip=4.19.8=py36h6538335_0
- six=1.11.0=py36h4db2310_1
- snappy=1.1.7=h777316e_3
- sortedcontainers=1.5.10=py36_0
- sqlite=3.23.1=h35aae40_0
- statsmodels=0.9.0=py36h452e1ab_0
- tblib=1.3.2=py36h30f5020_0
- terminado=0.8.1=py36_1
- testpath=0.3.1=py36h2698cfe_0
- tk=8.6.7=hcb92d03_3
- toolz=0.9.0=py36_0
- tornado=5.0.2=py36_0
- traitlets=4.3.2=py36h096827d_0
- vc=14.1=h0510ff6_3
- vs2015_runtime=15.5.2=3
- wcwidth=0.1.7=py36h3d5aa90_0
- webencodings=0.5.1=py36h67c50ae_1
- wheel=0.31.1=py36_0
- widgetsnbextension=3.2.1=py36_0
- wincertstore=0.2=py36h7fe50ca_0
- winpty=0.4.3=4
- wxpython=4.0.1=py36h4cd245c_0
- yaml=0.1.7=hc54c509_2
- zeromq=4.2.5=hc6251cf_0
- zict=0.1.3=py36h2d8e73e_0
- zlib=1.2.11=h8395fce_2
- pip:
- tables==3.4.3
prefix: C:\Users\jlarsch\AppData\Local\Continuum\miniconda3\envs\jlsocial