Closed matrs closed 6 years ago
There have been a couple builds since this, and I think it's getting worse? Meaning that now JPEG appears to not be supported as well as PNG. Using r-base h4fe35fd_7:
> capabilities()
jpeg png tiff tcltk X11 aqua
FALSE FALSE FALSE TRUE FALSE FALSE
http/ftp sockets libxml fifo cledit iconv
TRUE TRUE TRUE TRUE FALSE TRUE
NLS profmem cairo ICU long.double libcurl
TRUE TRUE FALSE TRUE TRUE TRUE
Environment (conda list
):
``` # packages in environment at rtest: # # Name Version Build Channel bzip2 1.0.6 h470a237_2 conda-forge ca-certificates 2018.4.16 0 conda-forge cairo 1.14.12 he56eebe_3 conda-forge curl 7.60.0 0 conda-forge fontconfig 2.13.0 h074f895_3 conda-forge freetype 2.8.1 0 conda-forge gettext 0.19.8.1 0 conda-forge glib 2.55.0 0 conda-forge graphite2 1.3.11 hfc679d8_0 conda-forge gsl 2.2.1 h0c605f7_3 harfbuzz 1.8.4 h2bb21d5_0 conda-forge icu 58.2 hfc679d8_0 conda-forge jpeg 9c h470a237_0 conda-forge krb5 1.14.6 0 conda-forge libffi 3.2.1 3 conda-forge libgcc-ng 7.2.0 hdf63c60_3 libgfortran 3.0.0 1 libiconv 1.15 h470a237_1 conda-forge libpng 1.6.34 ha92aebf_1 conda-forge libssh2 1.8.0 h5b517e9_2 conda-forge libstdcxx-ng 7.2.0 hdf63c60_3 libtiff 4.0.9 he6b73bb_1 conda-forge libuuid 1.0.3 1 conda-forge libxcb 1.13 h470a237_2 conda-forge libxml2 2.9.8 h422b904_2 conda-forge ncurses 6.1 0 conda-forge openssl 1.0.2o 0 conda-forge pango 1.40.14 h9105a7a_2 conda-forge pcre 8.41 1 conda-forge pixman 0.34.0 2 conda-forge pthread-stubs 0.4 h470a237_1 conda-forge r-base 3.4.1 h4fe35fd_7 conda-forge readline 7.0 haf1bffa_1 conda-forge tk 8.6.8 0 conda-forge xorg-kbproto 1.0.7 h470a237_2 conda-forge xorg-libice 1.0.9 h470a237_4 conda-forge xorg-libsm 1.2.2 h470a237_4 conda-forge xorg-libx11 1.6.5 h470a237_2 conda-forge xorg-libxau 1.0.8 h470a237_6 conda-forge xorg-libxdmcp 1.1.2 h470a237_7 conda-forge xorg-libxext 1.3.3 h470a237_4 conda-forge xorg-libxrender 0.9.10 h470a237_2 conda-forge xorg-renderproto 0.11.1 h470a237_2 conda-forge xorg-xextproto 7.3.0 h470a237_2 conda-forge xorg-xproto 7.0.31 h470a237_7 conda-forge xz 5.2.3 0 conda-forge zlib 1.2.11 h470a237_3 conda-forge ```
Seeing the same thing with png support missing.
@SylvainCorlay @garrett-stevens can you please try the latest (build 8) of r-base. I get:
R version 3.4.1 (2017-06-30) -- "Single Candle"
Copyright (C) 2017 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R ist freie Software und kommt OHNE JEGLICHE GARANTIE.
Sie sind eingeladen, es unter bestimmten Bedingungen weiter zu verbreiten.
Tippen Sie 'license()' or 'licence()' für Details dazu.
R ist ein Gemeinschaftsprojekt mit vielen Beitragenden.
Tippen Sie 'contributors()' für mehr Information und 'citation()',
um zu erfahren, wie R oder R packages in Publikationen zitiert werden können.
Tippen Sie 'demo()' für einige Demos, 'help()' für on-line Hilfe, oder
'help.start()' für eine HTML Browserschnittstelle zur Hilfe.
Tippen Sie 'q()', um R zu verlassen.
> capabilities()
jpeg png tiff tcltk X11 aqua
TRUE TRUE TRUE TRUE TRUE FALSE
http/ftp sockets libxml fifo cledit iconv
TRUE TRUE TRUE TRUE FALSE TRUE
NLS profmem cairo ICU long.double libcurl
TRUE TRUE TRUE TRUE TRUE TRUE
@bgruening sorry for not commenting more on this earlier. The _8
build appears to work, but the conda SAT solver seems to result in the _6
build getting installed instead!
It appears to be a conda bug more than a bug in the recipe. Pinning to that build works fine.
@ocefpaf @isuruf should be mark _6 as broken?
@ocefpaf @isuruf should be mark _6 as broken?
I did that. Let me know if there are any other that should be marked as well.
@ocefpaf, I think _7 needs to get marked broken as well (see my comment above).
@ocefpaf, I think _7 needs to get marked broken as well (see my comment above).
Done.
Currently running the jupyterlab demo binder build that was getting the wrong build, without any pinning.
@ocefpaf, looks like _5 needs to be marked broken as well (that was the OP's build, and I've confirmed locally).
@ocefpaf, looks like _5 needs to be marked broken as well (that was the OP's build, and I've confirmed locally).
Done. I'm reluctant to remove all but the latest b/c someone of the old builds may be a corner case for a health build depending on the user pinning. So we may need to iterate a few more times until we can get conda to solve for "the right one."
Issue: I just created a new environment with
conda create -n bioc r-base=3.4.1 rstudio r-tidyverse bioconductor-deseq2 bioconductor-edger bioconductor-biostrings bioconductor-bsgenome
And there isn't PNG supportI tested an environment with
R=3.4.3-4
andpng
was supported, butrstudio
needsr-base 3.4.1-hff14c37_5
which apparently has this problem.r-base: 3.4.1-4 conda-forge --> 3.4.1-hff14c37_5 conda-forge
Environment (
conda list
):Details about
conda
and system (conda info
):