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sameerkhurana10 / DSOL_rv0.2

deep protein solubility prediction
MIT License
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ResolvePackageNotFound: #6

Open abrozzi opened 2 years ago

abrozzi commented 2 years ago

Dears,

I followed the instructions and got this error on my Mac Monterey OS 12.5:

conda env create -f environment.yml
Collecting package metadata (repodata.json): done
Solving environment: failed

ResolvePackageNotFound: 
  - r-broom==0.4.2=r342h90c284a_0
  - traitlets==4.3.2=py36h674d592_0
  - webencodings==0.5.1=py36h800622e_1
  - r-dbi==0.7=r342h835dbd3_0
  - r-pryr==0.1.2=r342hf3bf84b_0
  - r-survival==2.41_3=r342hac888f2_0
  - r-uuid==0.1_2=r342h1393287_4
  - numpy==1.12.1=py36_0
  - gxx_linux-64==7.2.0=25
  - r-htmltools==0.3.6=r342h4080c21_0
  - r-repr==0.12.0=r342hde08b23_0
  - libtiff==4.0.9=h28f6b97_0
  - r-rcpproll==0.2.2=r342hdd0cc16_0
  - libgcc-ng==7.2.0=h7cc24e2_2
  - r-randomforest==4.6_12=r342h41e62a9_4
  - r-foreign==0.8_69=r342hbd6b6bb_0
  - r-ggplot2==2.2.1=r342h8b6cf70_0
  - ptyprocess==0.5.2=py36h69acd42_0
  - r-dplyr==0.7.4=r342hee63e26_0
  - python==3.6.3=hc9025b9_1
  - r-caret==6.0_77=r342h201f268_0
  - r-labeling==0.3=r342h7c30189_4
  - cudnn==5.1=0
  - r-openssl==0.9.7=r342h1e3c16d_0
  - r-r6==2.2.2=r342hcc750b5_0
  - pcre==8.41=hc27e229_1
  - pixman==0.34.0=hceecf20_3
  - r-lubridate==1.6.0=r342h47739ec_0
  - libpng==1.6.34=hb9fc6fc_0
  - r-stringr==1.2.0=r342h701d218_0
  - r-pkgconfig==2.0.1=r342h5d9b92e_0
  - r-class==7.3_14=r342h4797347_4
  - r-tidyr==0.7.1=r342h1bc61e7_0
  - r-magrittr==1.5=r342h895a831_4
  - libedit==3.1=heed3624_0
  - r-forcats==0.2.0=r342h5fcb364_0
  - r-irkernel==0.8.9=r342hfe3cb8f_0
  - r-sfsmisc==1.1_1=r342hadb04b4_0
  - curl==7.55.1=hcb0b314_2
  - r-kernsmooth==2.23_15=r342hdc3efa4_4
  - r-rlang==0.1.2=r342hc878738_0
  - harfbuzz==1.7.4=hc5b324e_0
  - libxml2==2.9.7=h26e45fe_0
  - r-rvest==0.3.2=r342h8e81af5_0
  - pandocfilters==1.4.2=py36ha6701b7_1
  - r-tibble==1.3.4=r342h041fa31_0
  - pango==1.41.0=hd475d92_0
  - pickleshare==0.7.4=py36h63277f8_0
  - r-scales==0.5.0=r342h876bdd3_0
  - r-formatr==1.5=r342h0e06a18_0
  - zeromq==4.2.2=hbedb6e5_2
  - libsodium==1.0.15=hf101ebd_0
  - pyzmq==16.0.3=py36he2533c7_0
  - r-codetools==0.2_15=r342hc9ffb9b_0
  - r-rmarkdown==1.6=r342hacd9e3e_2
  - r-withr==2.0.0=r342hfa1897f_0
  - r-lava==1.5.1=r342h598eca9_0
  - r-tidyverse==1.1.1=r342hf9e2102_0
  - r-hexbin==1.27.1=r342h72fd8d9_4
  - r-crayon==1.3.4=r342h0ed458a_0
  - r-httr==1.3.1=r342h7aba7de_0
  - r-bh==1.65.0_1=r342h2d7c2ce_0
  - r-mnormt==1.5_5=r342he1a489d_0
  - r-maps==3.2.0=r342h79c810f_0
  - gcc_linux-64==7.2.0=25
  - bzip2==1.0.6=h6d464ef_2
  - r-digest==0.6.12=r342hee14287_0
  - r-shiny==1.0.5=r342hc0a01ce_0
  - r-deoptimr==1.0_8=r342h996e1ad_0
  - r-mass==7.3_47=r342hd8605c9_0
  - r-mime==0.5=r342h01856a9_0
  - r-timedate==3012.100=r342h48d2e88_4
  - r-stringi==1.1.6=r342hf484d3e_0
  - r-glmnet==2.0_13=r342h0aac7f1_0
  - r-modelr==0.1.1=r342heb933ea_0
  - r-recipes==0.1.0=r342h0924b81_0
  - tk==8.6.7=hc745277_3
  - ipython_genutils==0.2.0=py36hb52b0d5_0
  - parso==0.1.1=py36h35f843b_0
  - r-xml2==1.1.1=r342h3ff9a91_0
  - sqlite==3.21.0=h1bed415_0
  - r-data.table==1.10.4_1=r342h3908b10_0
  - r-haven==1.1.0=r342h8909e7d_0
  - r-catools==1.17.1=r342hf01772b_4
  - r-plogr==0.1_1=r342h6d7f4c2_0
  - r-httpuv==1.3.5=r342ha5ddd88_0
  - r-ttr==0.23_2=r342hf82c04a_0
  - r-viridislite==0.2.0=r342h3706391_0
  - r-yaml==2.1.14=r342h72d8650_0
  - gsl==2.2.1=h0c605f7_3
  - r-jsonlite==1.5=r342hf92f79e_0
  - r-xts==0.10_0=r342h17852d6_4
  - r-knitr==1.17=r342h6500ef9_0
  - jsonschema==2.6.0=py36h006f8b5_0
  - r-cluster==2.0.6=r342hcb72a25_0
  - freetype==2.8=hab7d2ae_1
  - jpeg==9b=h024ee3a_2
  - r-boot==1.3_20=r342ha5ac741_0
  - r-dimred==0.1.0=r342hb158d3e_0
  - r-reshape2==1.4.2=r342h2e254a0_0
  - r-glue==1.1.1=r342h3154e12_0
  - r-rematch==1.0.1=r342he3f91f1_0
  - r-essentials==1.7.0=r342hf65ed6a_0
  - r-quantmod==0.4_11=r342h9c9c021_0
  - r-htmlwidgets==0.9=r342h7fcc9b6_0
  - r-numderiv==2016.8_1=r342h12eb246_0
  - binutils_impl_linux-64==2.28.1=h04c84fa_2
  - r-evaluate==0.10.1=r342hb679cc2_0
  - r-highr==0.6=r342h2351100_0
  - pandoc==1.19.2.1=hea2e7c5_1
  - r-drr==0.0.2=r342h0fe108c_0
  - gxx_impl_linux-64==7.2.0=hd3faf3d_2
  - hdf5==1.8.17=10
  - r-hms==0.3=r342ha729a9b_0
  - r-kernlab==0.9_25=r342hd770e69_0
  - libstdcxx-ng==7.2.0=h7a57d05_2
  - python-dateutil==2.6.1=py36h88d3b88_1
  - r-psych==1.7.8=r342h1e2dc86_0
  - pygments==2.2.0=py36h0d3125c_0
  - graphite2==1.3.10=hf63cedd_1
  - r-bindr==0.1=r342hdee8079_0
  - r-markdown==0.8=r342h4cc6e3e_0
  - r-selectr==0.3_1=r342hd6c1ff9_0
  - r-tidyselect==0.2.2=r342h04f720c_0
  - r-irdisplay==0.4.4=r342hc31a1b2_0
  - icu==58.2=h9c2bf20_1
  - r-sourcetools==0.1.6=r342h519fec0_0
  - gcc_impl_linux-64==7.2.0=hc5ce805_2
  - r-foreach==1.4.3=r342h49221b0_4
  - r-lattice==0.20_35=r342h0f762c2_0
  - r-rpart==4.1_11=r342hd35cc14_0
  - ipython==6.2.1=py36h88c514a_1
  - simplegeneric==0.8.1=py36h2cb9092_0
  - r-cellranger==1.1.0=r342h51baf57_0
  - gmp==6.1.2=h6c8ec71_1
  - r-xtable==1.8_2=r342hb75f6e7_0
  - r-mgcv==1.8_22=r342h176cc83_0
  - r-bindrcpp==0.2=r342h4ea5b31_0
  - r-zoo==1.8_0=r342h9faeba2_0
  - r-rcolorbrewer==1.1_2=r342h0dda8fb_0
  - r-backports==1.1.1=r342h9a9f1f2_0
  - r-nlme==3.1_131=r342h7f704e8_0
  - testpath==0.3.1=py36h8cadb63_0
  - r-cvst==0.2_1=r342h830f301_0
  - nbconvert==5.3.1=py36hb41ffb7_0
  - r-gistr==0.4.0=r342h5cd5773_0
  - krb5==1.14.2=hd3fe544_3
  - binutils_linux-64==7.2.0=25
  - r-gower==0.1.2=r342h54e18f5_0
  - r-spatial==7.3_11=r342hff2a1d0_4
  - libssh2==1.8.0=h8c220ad_2
  - prompt_toolkit==1.0.15=py36h17d85b1_0
  - entrypoints==0.2.3=py36h1aec115_2
  - r-nnet==7.3_12=r342ha98c111_0
  - r-rbokeh==0.5.0=r342h257354a_0
  - xz==5.2.3=h55aa19d_2
  - glib==2.53.6=h5d9569c_2
  - r-bitops==1.0_6=r342hd891396_4
  - jinja2==2.10=py36ha16c418_0
  - r-colorspace==1.3_2=r342h81b277d_0
  - ncurses==6.0=h9df7e31_2
  - nbformat==4.4.0=py36h31c9010_0
  - r-dichromat==2.0_0=r342h341c752_4
  - r-iterators==1.0.8=r342h4caec00_4
  - fontconfig==2.12.4=h88586e7_1
  - r-readxl==1.0.0=r342h1e5739b_0
  - libxcb==1.12=hcd93eb1_4
  - pygpu==0.7.6=py36h3010b51_0
  - r-base64enc==0.1_3=r342h7c929ec_4
  - r-ipred==0.9_6=r342h7d58d5b_0
  - r-robustbase==0.92_7=r342h6021a74_0
  - jupyter_core==4.4.0=py36h7c827e3_0
  - wcwidth==0.1.7=py36hdf4376a_0
  - r-matrix==1.2_11=r342h3a55fe1_0
  - r-munsell==0.4.3=r342h79883fb_0
  - r-prodlim==1.6.1=r342hd95c883_0
  - r-curl==3.0=r342hba591e3_0
  - r-assertthat==0.2.0=r342h06193eb_0
  - r-pbdzmq==0.2_6=r342h934a24f_0
  - r-readr==1.1.1=r342hb25467c_0
  - libffi==3.2.1=hd88cf55_4
  - libgfortran-ng==7.2.0=h9f7466a_2
  - readline==7.0=ha6073c6_4
  - cairo==1.14.12=h77bcde2_0
  - r-ddalpha==1.3.1=r342hd2d3f94_0
  - r-modelmetrics==1.1.0=r342h5a23eb1_0
  - r-purrr==0.2.3=r342h7916a1c_0
  - r-base==3.4.2=haf99962_0
  - r-gtable==0.2.0=r342h8e3b2c8_0
  - r-lazyeval==0.2.0=r342h346dbdc_0
  - r-rcpp==0.12.13=r342h9f83869_0
  - r-rprojroot==1.2=r342hd69aa9e_0
  - zlib==1.2.11=ha838bed_2
  - r-plyr==1.8.4=r342h876901b_0
andrejberg commented 1 year ago

This can be solved on the developer side by running conda env export --no-builds