mhersche / hdembedding-bci Goto Github PK

Hi-

I read your paper covering HDembedding for BCI, and was looking to potentially explore utilizing it in my BCI research. However, when attempting to create (or implement) the associated conda environment in your _config.yml file, I receive the following error:

--prefix HDenv --file _config.yml
Collecting package metadata (repodata.json): done
Solving environment: failed

ResolvePackageNotFound:

• pycosat==0.6.3=py36h0a5515d_0
• _tflow_180_select==3.0=eigen
• imageio==2.2.0=py36he555465_0
• glob2==0.6=py36he249c77_0
• glib==2.53.6=h5d9569c_2
• cython==0.27.3=py36h1860423_0
• mkl-service==1.1.2=py36h17a0993_4
• libssh2==1.8.0=h9cfc8f7_4
• mccabe==0.6.1=py36h5ad9710_1
• requests==2.18.4=py36he2e5f8d_1
• boto==2.48.0=py36h6e4cd66_1
• yaml==0.1.7=had09818_2
• psutil==5.4.3=py36h14c3975_0
• bkcharts==0.2=py36h735825a_0
• pyqt==5.6.0=py36h0386399_5
• pyodbc==4.0.22=py36hf484d3e_0
• readline==7.0=ha6073c6_4
• markupsafe==1.0=py36hd9260cd_1
• nccl==1.3.5=cuda9.0_0
• pathlib2==2.3.0=py36h49efa8e_0
• ruamel_yaml==0.15.35=py36h14c3975_1
• sqlite==3.22.0=h1bed415_0
• xz==5.2.3=h55aa19d_2
• tblib==1.3.2=py36h34cf8b6_0
• itsdangerous==0.24=py36h93cc618_1
• pygments==2.2.0=py36h0d3125c_0
• python==3.6.4=hc3d631a_1
• pycparser==2.18=py36hf9f622e_1
• cryptography==2.1.4=py36hd09be54_0
• harfbuzz==1.7.4=hc5b324e_0
• mpfr==3.1.5=h11a74b3_2
• pytables==3.4.2=py36h3b5282a_2
• zict==0.1.3=py36h3a3bf81_0
• pyyaml==3.12=py36hafb9ca4_1
• filelock==2.0.13=py36h646ffb5_0
• pip==9.0.1=py36h6c6f9ce_4
• ipython_genutils==0.2.0=py36hb52b0d5_0
• isort==4.2.15=py36had401c0_0
• jdcal==1.3=py36h4c697fb_0
• lxml==4.1.1=py36hf71bdeb_1
• packaging==16.8=py36ha668100_1
• libstdcxx-ng==7.2.0=h7a57d05_2
• path.py==10.5=py36h55ceabb_0
• rope==0.10.7=py36h147e2ec_0
• sip==4.18.1=py36h51ed4ed_2
• sqlalchemy==1.2.1=py36h14c3975_0
• numexpr==2.6.4=py36hc4a3f9a_0
• wheel==0.30.0=py36hfd4bba0_1
• tensorboard==1.8.0=py36hf484d3e_0
• backports==1.0=py36hfa02d7e_1
• imagesize==0.7.1=py36h52d8127_0
• zlib==1.2.11=ha838bed_2
• pillow==5.0.0=py36h3deb7b8_0
• sphinxcontrib-websupport==1.0.1=py36hb5cb234_1
• gmpy2==2.0.8=py36hc8893dd_2
• mpmath==1.0.0=py36hfeacd6b_2
• ply==3.10=py36hed35086_0
• datashape==0.5.4=py36h3ad6b5c_0
• fastcache==1.0.2=py36h14c3975_2
• jupyter_core==4.4.0=py36h7c827e3_0
• sphinxcontrib==1.0=py36h6d0f590_1
• tensorflow-base==1.8.0=py36h5f64886_0
• flask==0.12.2=py36hb24657c_0
• bzip2==1.0.6=h9a117a8_4
• gmp==6.1.2=h6c8ec71_1
• pandoc==1.19.2.1=hea2e7c5_1
• cairo==1.14.12=h77bcde2_0
• numba==0.36.2=np114py36hc6662d5_0
• contextlib2==0.5.5=py36h6c84a62_0
• libxslt==1.1.32=h1312cb7_0
• multipledispatch==0.4.9=py36h41da3fb_0
• mpc==1.0.3=hec55b23_5
• pyopenssl==17.5.0=py36h20ba746_0
• icu==58.2=h9c2bf20_1
• typing==3.6.2=py36h7da032a_0
• h5py==2.7.1=py36h3585f63_0
• numpy==1.14.0=py36h3dfced4_1
• jinja2==2.10=py36ha16c418_0
• urllib3==1.22=py36hbe7ace6_0
• grpcio==1.12.1=py36hdbcaa40_0
• graphite2==1.3.10=hf63cedd_1
• libxml2==2.9.7=h26e45fe_0
• matplotlib==2.1.2=py36h0e671d2_0
• anaconda-project==0.8.2=py36h44fb852_0
• cytoolz==0.9.0=py36h14c3975_0
• intel-openmp==2018.0.0=hc7b2577_8
• libedit==3.1=heed3624_0
• protobuf==3.5.2=py36hf484d3e_0
• pytz==2017.3=py36h63b9c63_0
• jsonschema==2.6.0=py36h006f8b5_0
• libcurl==7.58.0=h1ad7b7a_0
• pcre==8.41=hc27e229_1
• webencodings==0.5.1=py36h800622e_1
• ncurses==6.0=h9df7e31_2
• parso==0.1.1=py36h35f843b_0
• singledispatch==3.4.0.3=py36h7a266c3_0
• pkginfo==1.4.1=py36h215d178_1
• flask-cors==3.0.3=py36h2d857d3_0
• freetype==2.8=hab7d2ae_1
• python-dateutil==2.6.1=py36h88d3b88_1
• pluggy==0.6.0=py36hb689045_0
• torchvision==0.2.0=py36_0
• ptyprocess==0.5.2=py36h69acd42_0
• prompt_toolkit==1.0.15=py36h17d85b1_0
• libpng==1.6.34=hb9fc6fc_0
• et_xmlfile==1.0.1=py36hd6bccc3_0
• blaze==0.11.3=py36h4e06776_0
• astropy==2.0.3=py36h14c3975_0
• colorama==0.3.9=py36h489cec4_0
• gstreamer==1.12.4=hb53b477_0
• locket==0.2.0=py36h787c0ad_1
• cudnn==7.1.2=cuda9.0_0
• gst-plugins-base==1.12.4=h33fb286_0
• bottleneck==1.2.1=py36haac1ea0_0
• libtiff==4.0.9=h28f6b97_0
• pixman==0.34.0=hceecf20_3
• beautifulsoup4==4.6.0=py36h49b8c8c_1
• nltk==3.2.5=py36h7532b22_0
• odo==0.5.1=py36h90ed295_0
• bitarray==0.8.1=py36h14c3975_1
• jbig==2.1=hdba287a_0
• sympy==1.1.1=py36hc6d1c1c_0
• get_terminal_size==1.0.0=haa9412d_0
• snowballstemmer==1.2.1=py36h6febd40_0
• pandas==0.22.0=py36hf484d3e_0
• dbus==1.12.2=hc3f9b76_1
• unicodecsv==0.14.1=py36ha668878_0
• wcwidth==0.1.7=py36hdf4376a_0
• xlsxwriter==1.0.2=py36h3de1aca_0
• curl==7.58.0=h84994c4_0
• ninja==1.8.2=h6bb024c_1
• backports.shutil_get_terminal_size==1.0.0=py36hfea85ff_2
• pytorch==0.4.0=py36hdf912b8_0
• openssl==1.0.2o=h20670df_0
• statsmodels==0.8.0=py36h8533d0b_0
• six==1.11.0=py36h372c433_1
• pycurl==7.43.0.1=py36hb7f436b_0
• entrypoints==0.2.3=py36h1aec115_2
• libsodium==1.0.15=hf101ebd_0
• unixodbc==2.3.4=hc36303a_1
• bokeh==0.12.13=py36h2f9c1c0_0
• wrapt==1.10.11=py36h28b7045_0
• libxcb==1.12=hcd93eb1_4
• nose==1.3.7=py36hcdf7029_2
• jupyter_console==5.2.0=py36he59e554_1
• partd==0.3.8=py36h36fd896_0
• patchelf==0.9=hf79760b_2
• pycrypto==2.6.1=py36h14c3975_7
• chardet==3.0.4=py36h0f667ec_1
• fontconfig==2.12.4=h88586e7_1
• numpydoc==0.7.0=py36h18f165f_0
• libffi==3.2.1=hd88cf55_4
• libprotobuf==3.5.2=h6f1eeef_0
• msgpack-python==0.5.1=py36h6bb024c_0
• lazy-object-proxy==1.3.1=py36h10fcdad_0
• nbformat==4.4.0=py36h31c9010_0
• pycodestyle==2.3.1=py36hf609f19_0
• qt==5.6.2=h974d657_12
• traitlets==4.3.2=py36h674d592_0
• seaborn==0.8.1=py36hfad7ec4_0
• xlwt==1.3.0=py36h7b00a1f_0
• qtawesome==0.4.4=py36h609ed8c_0
• zeromq==4.2.2=hbedb6e5_2
• cffi==1.11.4=py36h9745a5d_0
• lzo==2.10=h49e0be7_2
• cycler==0.10.0=py36h93f1223_0
• pandocfilters==1.4.2=py36ha6701b7_1
• greenlet==0.4.12=py36h2d503a6_0
• py==1.5.2=py36h29bf505_0
• pango==1.41.0=hd475d92_0
• scikit-image==0.13.1=py36h14c3975_1
• nbconvert==5.3.1=py36hb41ffb7_0
• scikit-learn==0.19.1=py36h7aa7ec6_0
• cudatoolkit==9.0=h13b8566_0
• hdf5==1.10.1=h9caa474_1
• pyzmq==16.0.3=py36he2533c7_0
• pickleshare==0.7.4=py36h63277f8_0
• pyparsing==2.2.0=py36hee85983_1
• qtpy==1.3.1=py36h3691cc8_0
• docutils==0.14=py36hb0f60f5_0
• anaconda==custom=py36hbbc8b67_0
• testpath==0.3.1=py36h8cadb63_0
• idna==2.6=py36h82fb2a8_1
• libtool==2.4.6=h544aabb_3
• llvmlite==0.21.0=py36ha241eea_0
• pyflakes==1.6.0=py36h7bd6a15_0
• sortedcollections==0.5.3=py36h3c761f9_0
• pysocks==1.6.7=py36hd97a5b1_1
• qtconsole==4.3.1=py36h8f73b5b_0
• click==6.7=py36h5253387_0
• tk==8.6.7=hc745277_3
• expat==2.2.5=he0dffb1_0
• jpeg==9b=h024ee3a_2
• pywavelets==0.5.2=py36he602eb0_0
• xlrd==1.1.0=py36h1db9f0c_1
• alabaster==0.7.10=py36h306e16b_0
• clyent==1.2.2=py36h7e57e65_1
• libgcc-ng==7.2.0=h7cc24e2_2
• gevent==1.2.2=py36h2fe25dc_0
• scipy==1.0.1=py36hfc37229_0
• libgfortran-ng==7.2.0=h9f7466a_2

To recreate this, I simply need to open a python terminal, and run 'conda env create' command pointing to this .yml file.

Any suggestions?