regro / conda-metachannel Goto Github PK
View Code? Open in Web Editor NEWlike a conda-metapackage but for channels!
License: MIT License
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conda-metachannel's Issues
Add background tasks to keep the cached repodata up to date
If a channel has been requested recently we should start a worker process to periodically refresh our cache
Add to regro.github.io
Probably should be added to our landing page.
metachannel is not accessible or is invalid
I'm trying to create a new environment with a metachannel made from defaults and conda-forge:
$ conda create --override-channels -c https://metachannel.conda-forge.org/defaults,conda-forge --name std
Collecting package metadata (current_repodata.json): done
Solving environment: done
UnavailableInvalidChannel: The channel is not accessible or is invalid.
channel name: defaults,conda-forge
channel url: https://metachannel.conda-forge.org/defaults,conda-forge
error code: 404
You will need to adjust your conda configuration to proceed.
Use `conda config --show channels` to view your configuration's current state,
and use `conda config --show-sources` to view config file locations.
Manually visiting the https://metachannel.conda-forge.org/defaults,conda-forge confirms that there appears to be something wrong with the server:
conda 4.8.1 on Debian 10.2
mkl/blas weirdness
It seems that the new version has some numpy resolution issues?
previously (march 26th) numpy was installed as 1.16.2-py36_blas_openblash1522bff_0
Now numpy is installed as 1.16.2-py36h8b7e671_1
(note this is being installed with numba so it is pulling in mkl (and maybe should be pulling in defaults?)) Either way this is causing some annoying breakage with mkl.
some conda-forge/<packagenames> cause hangs
This just hangs reproducibly:
conda create --override-channels -c https://metachannel.conda-forge.org/defaults,conda-forge/pysal pysal>=2.0.0 -n newenvname
Changing pysal by pandas or geopandas works as expected.
Add means to exclude older build numbers
For general use we realistically only need the most recent n build numbers
--blacklist=abi,--max-build-no interacting in weird way
The most recent release of conda-forge-pinning was about 17hrs ago and was 2019.01.29 and had a build number of 0. The previous release was 2019.01.21 and had a build number of 1. When I search with either of the options on thier own, I get the most recent package available:
$ conda search --override-channels -c http://35.232.222.82/conda-forge/
--max-build-no conda-forge-pinning
Loading channels: done
# Name Version Build Channel
conda-forge-pinning 2019.01.15 1 conda-forge/--max-build-no
conda-forge-pinning 2019.01.16 0 conda-forge/--max-build-no
conda-forge-pinning 2019.01.18 0 conda-forge/--max-build-no
conda-forge-pinning 2019.01.20 1 conda-forge/--max-build-no
conda-forge-pinning 2019.01.21 1 conda-forge/--max-build-no
conda-forge-pinning 2019.01.29 0 conda-forge/--max-build-no
$ conda search --override-channels -c http://35.232.222.82/conda-forge/
--blacklist=abi conda-forge-pinning
Loading channels: done
# Name Version Build Channel
conda-forge-pinning 2019.01.15 1 conda-forge/--blacklist=abi
conda-forge-pinning 2019.01.16 0 conda-forge/--blacklist=abi
conda-forge-pinning 2019.01.18 0 conda-forge/--blacklist=abi
conda-forge-pinning 2019.01.20 0 conda-forge/--blacklist=abi
conda-forge-pinning 2019.01.20 1 conda-forge/--blacklist=abi
conda-forge-pinning 2019.01.21 1 conda-forge/--blacklist=abi
conda-forge-pinning 2019.01.29 0 conda-forge/--blacklist=abiHowever, when I search with both options together, I don't see the most recent release!
scopatz@artemis ~ $ conda search --override-channels -c http://35.232.222.82/conda-forge/
--blacklist=abi,--max-build-no conda-forge-pinning
Loading channels: done
# Name Version Build Channel
conda-forge-pinning 2019.01.15 1 conda-forge/--blacklist=abi,--max-build-no
conda-forge-pinning 2019.01.16 0 conda-forge/--blacklist=abi,--max-build-no
conda-forge-pinning 2019.01.18 0 conda-forge/--blacklist=abi,--max-build-no
conda-forge-pinning 2019.01.20 1 conda-forge/--blacklist=abi,--max-build-no
conda-forge-pinning 2019.01.21 1 conda-forge/--blacklist=abi,--max-build-noAny ideas? CC @mariusvniekerk @CJ-Wright
Add a CLI mode to rewrite conda install statements
Some Packages Fail
With a somewhat ridiculously long URL, conda fails to update:
scopatz@artemis ~ $ time -p conda update --all
Solving environment: failed
CondaHTTPError: HTTP 500 CONNECTION FAILED for url <http://35.232.222.82/conda-forge/_license,absl-py,alabaster,alsa-lib,anaconda-client,appdirs,argcomplete,asn1crypto,astor,asttokens,async_generator,atk,atomicwrites,attrs,audioread,autoconf,automake,automat,awscli,babel,backcall,backports,backports.functools_lru_cache,backports.os,backports.shutil_get_terminal_size,backports.weakref,bcolz,beautifulsoup4,bibtexparser,binstar,bitarray,bkcharts,black,blas,bleach,blinker,blosc,blz,bokeh,boost,boost-cpp,boto,boto3,botocore,bz2file,bzip2,c-ares,ca-certificates,cached-property,cairo,cerberus,certifi,cffi,chardet,chrpath,clangdev,click,cloog,cloud_sptheme,cloudpickle,clyent,cmake,coincbc,colorama,conda,conda-build,conda-build-all,conda-env,conda-forge-pinning,conda-smithy,conda-verify,configobj,constantly,contextvars,cryptography,cryptography-vectors,cudatoolkit,curl,cycler,cyclus-build-deps,cython,cytoolz,dask,dask-core,datashape,dbus,decorator,defusedxml,distributed,django,django-extensions,django-haystack,django-widget-tweaks,djangorestframework,docker-compose,docker-py,docker-pycreds,dockerpty,docopt,docutils,drf-haystack,dynd-python,embree,entrypoints,et_xmlfile,eventlet,expat,fastcache,ffmpeg,filelock,flake8,flake8-import-order,flake8-polyfill,flask,flask-socketio,fontconfig,freetype,funcsigs,future,gast,gcc,gdk-pixbuf,gensim,gettext,ghostscript,git-lfs,gitdb,gitdb2,github3.py,gitpython,glib,glibmm,glob2,gmp,gmpy2,gnutls,gobject-introspection,google-cloud-sdk,graphite2,graphviz,greenlet,grpcio,gst-plugins-base,gstreamer,gtk2,gunicorn,h11,h2,h5py,harfbuzz,hdf5,heapdict,hpack,html5lib,hypercorn,hyperframe,hyperlink,icu,idna,imageio,imagesize,immutables,importlib_metadata,incremental,intel-openmp,ipykernel,ipython,ipython_genutils,isl,isodate,itsdangerous,itypes,jbig,jdcal,jedi,jinja2,jmespath,joblib,jpeg,jsoncpp,jsonschema,jupyter_client,jupyter_core,jwcrypto,keras,keras-applications,keras-preprocessing,kiwisolver,krb5,kubernetes,lapack,latexcodec,lazyasd,libarchive,libassuan,libcurl,libdynd,libedit,libffi,libflac,libgcc,libgcc-ng,libgcrypt,libgfortran,libgfortran-ng,libgpg-error,libgpuarray,libiconv,libidn11,libksba,liblief,libogg,libopenblas,libpng,libprotobuf,librosa,libsigcpp,libsndfile,libsodium,libssh2,libstdcxx-ng,libtiff,libtool,libuuid,libuv,libvorbis,libxcb,libxml2,libxmlpp,libxslt,llvm-meta,llvmdev,llvmlite,locket,lxml,lz4,lz4-c,lzo,m4,make,mako,markdown,markupsafe,matplotlib,matplotlib-base,mccabe,memory_profiler,mistune,mkl,mkl-rt,mock,more-itertools,mpc,mpfr,mpi,mpich,mpmath,msgpack-python,msrest,multipledispatch,nbconvert,nbformat,ncurses,ndg-httpsclient,nettle,networkx,nltk,nodejs,nose,notebook,npth,ntbtls,nuitka,numba,numexpr,numpy,numpy-base,numpydoc,oauthlib,odo,olefile,openblas,openpyxl,openssl,oset,outcome,packaging,pandas,pandoc,pandocfilters,pango,parso,partd,patchelf,path.py,patsy,pbr,pcre,pep8,pep8-naming,perl,pexpect,pickleshare,pillow,pip,pixman,pkg-config,pkginfo,pluggy,ply,portaudio,pprintpp,prettytable,profimp,prometheus_client,prompt_toolkit,protobuf,psutil,pthread-stubs,ptyprocess,pv,py,py-lief,pyasn1,pyasn1-modules,pybtex,pybtex-docutils,pycodestyle,pycosat,pycparser,pycrypto,pycurl,pyflakes,pygithub,pygments,pygpu,pyhamcrest,pyjwt,pyopenssl,pyparsing,pyqt,pyrsistent,pysocks,pysoundfile,pystan,pytables,pytest,pytest-django,pytest-django-haystack,pytest-tornado,python,python-coreapi,python-coreschema,python-crfsuite,python-dateutil,python-engineio,python-graphviz,python-libarchive-c,python-socketio,python-sounddevice,python3-openid,pytoml,pytz,pywavelets,pyyaml,pyzmq,qt,qtpy,readline,redis,redis-py,requests,requests-oauthlib,resampy,rhash,rope,rsa,ruamel.yaml,ruamel_yaml,ruby,s3fs,s3transfer,scikit-image,scikit-learn,scipy,send2trash,service_identity,setuptools,sigcpp,simplegeneric,simplejson,sip,six,smart_open,smmap,smmap2,sniffio,snowballstemmer,social-auth-app-django,social-auth-core,sockjs-tornado,sortedcontainers,sparse,sphinx,sphinx_rtd_theme,sphinxcontrib-bibtex,sphinxcontrib-websupport,sqlalchemy,sqlite,statsmodels,sympy,system,tblib,tensorboard,tensorflow,termcolor,terminado,testpath,texttable,theano,tk,toml,toolchain,toolchain_c_linux-64,toolchain_cxx_linux-64,toolz,tornado,tox,tqdm,traitlets,trio,twisted,twython,typing,typing_extensions,ujson,uncertainties,unyt,uritemplate,uritemplate.py,urllib3,urwid,util-linux,uvloop,virtualenv,vitables,vsts-python-api,wcwidth,webencodings,websocket-client,websockets,werkzeug,wheel,whoosh,wsproto,x264,xlrd,xlsxwriter,xlwt,xorg-kbproto,xorg-libice,xorg-libsm,xorg-libx11,xorg-libxau,xorg-libxdmcp,xorg-libxext,xorg-libxpm,xorg-libxrender,xorg-libxt,xorg-renderproto,xorg-xextproto,xorg-xproto,xz,yaml,yasm,zeromq,zict,zlib,zope.interface,zstd,--max-build-no/noarch/repodata.json>
Elapsed: 00:00.223459
A remote server error occurred when trying to retrieve this URL.
A 500-type error (e.g. 500, 501, 502, 503, etc.) indicates the server failed to
fulfill a valid request. The problem may be spurious, and will resolve itself if you
try your request again. If the problem persists, consider notifying the maintainer
of the remote server.
Command exited with non-zero status 1
real 6.23
user 5.66
sys 0.13
This is every package I have installed dumped to a URL via the following:
$ import json
$ "http://35.232.222.82/conda-forge/" + ",".join([i["name"] for i in json.loads($(conda list --json))]) + ",--max-build-no"
RFE: --no-deps constraint
So, i know this project is mostly dead, but I think i have found one use case for it - when --strict-channel-priority cannot be used. This happens with a high priority channel has dropped updating a package so we must get it from a lower priority channel.
In this case I would like to produce a conda-forge channel with only the packages I specify, and none of their dependencies.
I'm trying to decipher to code to see where this filtering should be done, but I haven't figured that out yet. If anyone is still around here, any help would be appreciated.
Design specification for what a post based repodata fetching might look like
One feature that we could theoretically look at would be to modify the behavior of conda so that instead of it just doing a GET to <CHANNEL_URL>/repodata.json.bz2 it instead does a post to the same url with an payload of the packages already present in the target environment
{
'packages': [
'python 3.7.1', ...
]
}
This would allow us to dynamically be able to generate the constained repodata without needing to resort to fairly gross url path based approaches.
Dockerfile doesn't build
I am seeing the following build issue:
Sending build context to Docker daemon 138.2kB
Step 1/9 : FROM continuumio/miniconda
latest: Pulling from continuumio/miniconda
05d1a5232b46: Pull complete
e5691d1765c8: Pull complete
5bd50143e3a6: Pull complete
321fedc6908f: Pull complete
Digest: sha256:0a8e7233eac22bffbdbd80634e3262ff59ee7b8034efcf7c0e72afd6753d6d8f
Status: Downloaded newer image for continuumio/miniconda:latest
---> dccb1044d843
Step 2/9 : ADD environment.yml .
---> eeadb6ecd457
Step 3/9 : RUN conda env create --copy -p /opt/env
---> Running in 8195a83c0ce7
usage: conda-env [-h] {attach,create,export,list,remove,upload,update} ...
conda-env: error: unrecognized arguments: --copy
The command '/bin/sh -c conda env create --copy -p /opt/env' returned a non-zero code: 2
conda 4.7 causes a 500 error with the new repo.json
Collecting package metadata (current_repodata.json): failed
CondaHTTPError: HTTP 500 CONNECTION FAILED for url <https://metachannel.conda-forge.org/conda-forge/--max-build-no,llvmdev,ncurses/osx-64/current_repodata.json>
Elapsed: 00:00.078733
CF-RAY: 4f0149b3ad57caa8-YYZ
Company conda-forge mirror usage
I tried using this at my company but we use an internal mirror to connect to conda-forge and I couldn't get it to work. I tried replacing all of the urls I could find in the code to my mirror url but it also failed. Any suggestions or improvement ideas for making this work with a mirror?
I have time to submit a PR if you can help me get started on what needs to be changed.
Add means to exclude packages with specific python bounds
Aka remove python 3.4, 3.5, 2.7
Treat noarch as being part of the artifact graph for dependency resolution purposes
Noarch fusing seems broken
There are some packages (e.g. boto3) which have had both archful and noarch versions historically. In these cases, metachannel seems to only provide the archful version, and leaves out the noarch versions entirely. For example:
via metachannel
$ conda search --override-channels -c http://35.232.222.82/conda-forge/boto3 boto3
Loading channels: done
# Name Version Build Channel
boto3 1.4.1 py27_0 conda-forge/boto3
boto3 1.4.1 py27_0 conda-forge/boto3
boto3 1.4.1 py34_0 conda-forge/boto3
boto3 1.4.1 py34_0 conda-forge/boto3
boto3 1.4.1 py35_0 conda-forge/boto3
boto3 1.4.1 py35_0 conda-forge/boto3
boto3 1.4.2 py27_0 conda-forge/boto3
boto3 1.4.2 py27_0 conda-forge/boto3
boto3 1.4.2 py34_0 conda-forge/boto3
boto3 1.4.2 py34_0 conda-forge/boto3
boto3 1.4.2 py35_0 conda-forge/boto3
boto3 1.4.2 py35_0 conda-forge/boto3
boto3 1.4.2 py36_0 conda-forge/boto3
boto3 1.4.2 py36_0 conda-forge/boto3
boto3 1.4.4 py27_0 conda-forge/boto3
boto3 1.4.4 py27_0 conda-forge/boto3
boto3 1.4.4 py35_0 conda-forge/boto3
boto3 1.4.4 py35_0 conda-forge/boto3
boto3 1.4.4 py36_0 conda-forge/boto3
boto3 1.4.4 py36_0 conda-forge/boto3
boto3 1.4.7 py27_0 conda-forge/boto3
boto3 1.4.7 py27_0 conda-forge/boto3
boto3 1.4.7 py35_0 conda-forge/boto3
boto3 1.4.7 py35_0 conda-forge/boto3
boto3 1.4.7 py36_0 conda-forge/boto3
boto3 1.4.7 py36_0 conda-forge/boto3
boto3 1.5.11 py27_0 conda-forge/boto3
boto3 1.5.11 py27_0 conda-forge/boto3
boto3 1.5.11 py35_0 conda-forge/boto3
boto3 1.5.11 py35_0 conda-forge/boto3
boto3 1.5.11 py36_0 conda-forge/boto3
boto3 1.5.11 py36_0 conda-forge/boto3via conda-forge
$ conda search --override-channels -c conda-forge boto3
Loading channels: done
# Name Version Build Channel
boto3 1.4.1 py27_0 conda-forge
boto3 1.4.1 py34_0 conda-forge
boto3 1.4.1 py35_0 conda-forge
boto3 1.4.2 py27_0 conda-forge
boto3 1.4.2 py34_0 conda-forge
boto3 1.4.2 py35_0 conda-forge
boto3 1.4.2 py36_0 conda-forge
boto3 1.4.4 py27_0 conda-forge
boto3 1.4.4 py35_0 conda-forge
boto3 1.4.4 py36_0 conda-forge
boto3 1.4.7 py27_0 conda-forge
boto3 1.4.7 py35_0 conda-forge
boto3 1.4.7 py36_0 conda-forge
boto3 1.5.11 py27_0 conda-forge
boto3 1.5.11 py35_0 conda-forge
boto3 1.5.11 py36_0 conda-forge
boto3 1.5.14 py_2 conda-forge
boto3 1.5.18 py_0 conda-forge
boto3 1.5.22 py_0 conda-forge
boto3 1.5.23 py_0 conda-forge
boto3 1.5.24 py_0 conda-forge
boto3 1.5.25 py_0 conda-forge
boto3 1.5.26 py_0 conda-forge
boto3 1.5.27 py_0 conda-forge
boto3 1.5.28 py_0 conda-forge
boto3 1.5.29 py_0 conda-forge
boto3 1.5.30 py_0 conda-forge
boto3 1.5.31 py_0 conda-forge
boto3 1.5.32 py_0 conda-forge
boto3 1.5.33 py_0 conda-forge
boto3 1.5.34 py_0 conda-forge
boto3 1.5.35 py_0 conda-forge
boto3 1.5.36 py_0 conda-forge
boto3 1.6.0 py_0 conda-forge
boto3 1.6.1 py_0 conda-forge
boto3 1.6.2 py_0 conda-forge
boto3 1.6.3 py_0 conda-forge
boto3 1.6.4 py_0 conda-forge
boto3 1.6.5 py_0 conda-forge
boto3 1.6.6 py_0 conda-forge
boto3 1.6.7 py_0 conda-forge
boto3 1.6.8 py_0 conda-forge
boto3 1.6.9 py_0 conda-forge
boto3 1.6.10 py_0 conda-forge
boto3 1.6.11 py_0 conda-forge
boto3 1.6.12 py_0 conda-forge
boto3 1.6.13 py_0 conda-forge
boto3 1.6.14 py_0 conda-forge
boto3 1.6.15 py_0 conda-forge
boto3 1.6.16 py_0 conda-forge
boto3 1.6.17 py_0 conda-forge
boto3 1.6.18 py_0 conda-forge
boto3 1.6.19 py_0 conda-forge
boto3 1.6.20 py_0 conda-forge
boto3 1.6.21 py_0 conda-forge
boto3 1.6.22 py_0 conda-forge
boto3 1.6.23 py_0 conda-forge
boto3 1.7.0 py_0 conda-forge
boto3 1.7.1 py_0 conda-forge
boto3 1.7.2 py_0 conda-forge
boto3 1.7.3 py_0 conda-forge
boto3 1.7.4 py_0 conda-forge
boto3 1.7.5 py_0 conda-forge
boto3 1.7.6 py_0 conda-forge
boto3 1.7.7 py_0 conda-forge
boto3 1.7.8 py_0 conda-forge
boto3 1.7.9 py_0 conda-forge
boto3 1.7.10 py_0 conda-forge
boto3 1.7.11 py_0 conda-forge
boto3 1.7.12 py_0 conda-forge
boto3 1.7.13 py_0 conda-forge
boto3 1.7.14 py_0 conda-forge
boto3 1.7.15 py_0 conda-forge
boto3 1.7.16 py_0 conda-forge
boto3 1.7.17 py_0 conda-forge
boto3 1.7.18 py_0 conda-forge
boto3 1.7.19 py_0 conda-forge
boto3 1.7.20 py_0 conda-forge
boto3 1.7.21 py_0 conda-forge
boto3 1.7.22 py_0 conda-forge
boto3 1.7.23 py_0 conda-forge
boto3 1.7.24 py_0 conda-forge
boto3 1.7.25 py_0 conda-forge
boto3 1.7.26 py_0 conda-forge
boto3 1.7.27 py_0 conda-forge
boto3 1.7.28 py_0 conda-forge
boto3 1.7.29 py_0 conda-forge
boto3 1.7.30 py_0 conda-forge
boto3 1.7.31 py_0 conda-forge
boto3 1.7.32 py_0 conda-forge
boto3 1.7.33 py_0 conda-forge
boto3 1.7.34 py_0 conda-forge
boto3 1.7.35 py_0 conda-forge
boto3 1.7.36 py_0 conda-forge
boto3 1.7.37 py_0 conda-forge
boto3 1.7.38 py_0 conda-forge
boto3 1.7.39 py_0 conda-forge
boto3 1.7.40 py_0 conda-forge
boto3 1.7.41 py_0 conda-forge
boto3 1.7.42 py_0 conda-forge
boto3 1.7.43 py_0 conda-forge
boto3 1.7.44 py_0 conda-forge
boto3 1.7.45 py_0 conda-forge
boto3 1.7.46 py_0 conda-forge
boto3 1.7.47 py_0 conda-forge
boto3 1.7.48 py_0 conda-forge
boto3 1.7.49 py_0 conda-forge
boto3 1.7.50 py_0 conda-forge
boto3 1.7.51 py_0 conda-forge
boto3 1.7.52 py_0 conda-forge
boto3 1.7.53 py_0 conda-forge
boto3 1.7.54 py_0 conda-forge
boto3 1.7.55 py_0 conda-forge
boto3 1.7.56 py_0 conda-forge
boto3 1.7.57 py_0 conda-forge
boto3 1.7.58 py_0 conda-forge
boto3 1.7.59 py_0 conda-forge
boto3 1.7.60 py_0 conda-forge
boto3 1.7.61 py_0 conda-forge
boto3 1.7.62 py_0 conda-forge
boto3 1.7.62 py_1 conda-forge
boto3 1.7.63 py_0 conda-forge
boto3 1.7.64 py_0 conda-forge
boto3 1.7.65 py_0 conda-forge
boto3 1.7.66 py_0 conda-forge
boto3 1.7.67 py_0 conda-forge
boto3 1.7.68 py_0 conda-forge
boto3 1.7.69 py_0 conda-forge
boto3 1.7.70 py_0 conda-forge
boto3 1.7.71 py_0 conda-forge
boto3 1.7.72 py_0 conda-forge
boto3 1.7.73 py_0 conda-forge
boto3 1.7.74 py_0 conda-forge
boto3 1.7.75 py_0 conda-forge
boto3 1.7.76 py_0 conda-forge
boto3 1.7.77 py_0 conda-forge
boto3 1.7.78 py_0 conda-forge
boto3 1.7.79 py_0 conda-forge
boto3 1.7.80 py_0 conda-forge
boto3 1.7.81 py_0 conda-forge
boto3 1.7.82 py_0 conda-forge
boto3 1.7.83 py_0 conda-forge
boto3 1.7.84 py_0 conda-forge
boto3 1.8.0 py_0 conda-forge
boto3 1.8.1 py_0 conda-forge
boto3 1.8.2 py_0 conda-forge
boto3 1.8.3 py_0 conda-forge
boto3 1.8.4 py_0 conda-forge
boto3 1.8.5 py_0 conda-forge
boto3 1.8.6 py_0 conda-forge
boto3 1.8.7 py_0 conda-forge
boto3 1.8.8 py_0 conda-forge
boto3 1.8.9 py_0 conda-forge
boto3 1.9.0 py_0 conda-forge
boto3 1.9.1 py_0 conda-forge
boto3 1.9.1 py_1 conda-forge
boto3 1.9.2 py_0 conda-forge
boto3 1.9.3 py_0 conda-forge
boto3 1.9.4 py_0 conda-forge
boto3 1.9.5 py_0 conda-forge
boto3 1.9.6 py_0 conda-forge
boto3 1.9.7 py_0 conda-forge
boto3 1.9.8 py_0 conda-forge
boto3 1.9.9 py_0 conda-forge
boto3 1.9.10 py_0 conda-forge
boto3 1.9.11 py_0 conda-forge
boto3 1.9.12 py_0 conda-forge
boto3 1.9.13 py_0 conda-forge
boto3 1.9.14 py_0 conda-forge
boto3 1.9.15 py_0 conda-forge
boto3 1.9.16 py_0 conda-forge
boto3 1.9.17 py_0 conda-forge
boto3 1.9.18 py_0 conda-forge
boto3 1.9.19 py_0 conda-forge
boto3 1.9.20 py_0 conda-forge
boto3 1.9.21 py_0 conda-forge
boto3 1.9.22 py_0 conda-forge
boto3 1.9.23 py_0 conda-forge
boto3 1.9.24 py_0 conda-forge
boto3 1.9.25 py_0 conda-forge
boto3 1.9.26 py_0 conda-forge
boto3 1.9.27 py_0 conda-forge
boto3 1.9.28 py_0 conda-forge
boto3 1.9.29 py_0 conda-forge
boto3 1.9.30 py_0 conda-forge
boto3 1.9.31 py_0 conda-forge
boto3 1.9.31 py_1 conda-forge
boto3 1.9.32 py_0 conda-forge
boto3 1.9.33 py_0 conda-forge
boto3 1.9.34 py_0 conda-forge
boto3 1.9.35 py_0 conda-forge
boto3 1.9.36 py_0 conda-forge
boto3 1.9.37 py_0 conda-forge
boto3 1.9.38 py_0 conda-forge
boto3 1.9.39 py_0 conda-forge
boto3 1.9.40 py_0 conda-forge
boto3 1.9.41 py_0 conda-forge
boto3 1.9.42 py_0 conda-forge
boto3 1.9.43 py_0 conda-forge
boto3 1.9.44 py_0 conda-forge
boto3 1.9.45 py_0 conda-forge
boto3 1.9.46 py_0 conda-forge
boto3 1.9.47 py_0 conda-forge
boto3 1.9.48 py_0 conda-forge
boto3 1.9.49 py_0 conda-forge
boto3 1.9.50 py_0 conda-forge
boto3 1.9.51 py_0 conda-forge
boto3 1.9.52 py_0 conda-forge
boto3 1.9.53 py_0 conda-forge
boto3 1.9.54 py_0 conda-forge
boto3 1.9.55 py_0 conda-forge
boto3 1.9.56 py_0 conda-forge
boto3 1.9.57 py_0 conda-forge
boto3 1.9.58 py_0 conda-forge
boto3 1.9.59 py_0 conda-forge
boto3 1.9.60 py_0 conda-forge
boto3 1.9.61 py_0 conda-forge
boto3 1.9.62 py_0 conda-forge
boto3 1.9.63 py_0 conda-forge
boto3 1.9.64 py_0 conda-forge
boto3 1.9.65 py_0 conda-forge
boto3 1.9.66 py_0 conda-forge
boto3 1.9.67 py_0 conda-forge
boto3 1.9.68 py_0 conda-forge
boto3 1.9.69 py_0 conda-forge
boto3 1.9.70 py_0 conda-forge
boto3 1.9.71 py_0 conda-forge
boto3 1.9.72 py_0 conda-forge
boto3 1.9.73 py_0 conda-forge
boto3 1.9.74 py_0 conda-forge
boto3 1.9.75 py_0 conda-forge
boto3 1.9.76 py_0 conda-forge
boto3 1.9.77 py_0 conda-forge
boto3 1.9.78 py_0 conda-forge
boto3 1.9.79 py_0 conda-forge
boto3 1.9.80 py_0 conda-forge
boto3 1.9.81 py_0 conda-forge
boto3 1.9.82 py_0 conda-forge
boto3 1.9.83 py_0 conda-forge
boto3 1.9.84 py_0 conda-forge
boto3 1.9.85 py_0 conda-forge
boto3 1.9.86 py_0 conda-forge The more recent artifact versions are all noarch.
Add a mode to fuse two or more channels into one
conda search succeeds, install fails
Using conda 4.6.11, I can search for packages:
conda search --override-channels -c https://metachannel.conda-forge.org/conda-forge/python python=3.7.1
WARNING: The conda.compat module is deprecated and will be removed in a future release.
Loading channels: done
# Name Version Build Channel
python 3.7.1 h381d211_1002 conda-forge/python
python 3.7.1 h381d211_1003 conda-forge/python
python 3.7.1 h5001a0f_0 conda-forge/python
python 3.7.1 hd21baee_1000 conda-forge/python
python 3.7.1 hd21baee_1001 conda-forge/python
If I create a completely empty environment with conda create -n test, activate it, and then try to install python 3.7.1 in that environment, I observe the following:
conda install --override-channels -c https://metachannel.conda-forge.org/conda-forge/python, python=3.7.1
WARNING: The conda.compat module is deprecated and will be removed in a future release.
Collecting package metadata: done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
- python=3.7.1 -> libgcc-ng[version='>=7.3.0']
- python=3.7.1 -> libstdcxx-ng[version='>=7.3.0']
- python=3.7.1 -> openssl[version='>=1.1.1a,<1.1.2a']
- python=3.7.1 -> sqlite[version='>=3.26.0,<4.0a0']
- python=3.7.1 -> tk[version='>=8.6.9,<8.7.0a0']
- python=3.7.1 -> xz[version='>=5.2.4,<5.3.0a0']
- python=3.7.1 -> pip
Current channels:
- https://metachannel.conda-forge.org/conda-forge/python/linux-64
- https://metachannel.conda-forge.org/conda-forge/python/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
Is this expected? I am on a corporate network, but I seem to recall being able to use metachannel from the same system over the past few weeks.
package not found (based on version)
Fails:
channels:
- nodefaults
- https://metachannel.conda-forge.org/defaults,conda-forge/nodejs
dependencies:
- nodejs=10.13.0
Succeeds:
channels:
- nodefaults
- https://metachannel.conda-forge.org/defaults,conda-forge/nodejs
dependencies:
- nodejs=11.11.0
the failure message is:
ResolvePackageNotFound:
- nodejs=10.13.0
fusing more than two channels fails
The readme says fusing more than two channels is possible without giving an example; it seems to not work:
conda create --override-channels -c https://metachannel.conda-forge.org/defaults,conda-forge/pandas,conda-forge/scikit-learn pandas -n testmeta
gives
Collecting package metadata: failed
CondaHTTPError: HTTP 500 CONNECTION FAILED for url <https://metachannel.conda-forge.org/defaults,conda-forge/pandas,conda-forge/scikit-learn/noarch/repodata.json>
Elapsed: 00:00.511322
CF-RAY: 4d03b7fa8fd42c0a-AMS
A remote server error occurred when trying to retrieve this URL.
A 500-type error (e.g. 500, 501, 502, 503, etc.) indicates the server failed to
fulfill a valid request. The problem may be spurious, and will resolve itself if you
try your request again. If the problem persists, consider notifying the maintainer
of the remote server.
Leaving off ,conda-forge/scikit-learn does work as expected.
Conda create does not find dependencies
I am using a corporate mirror of the hosted metachannel, so if you can't reproduce then I need to deal with IT on my end.
I am just trying to create a conda environment with python and it is unable to find pip and libcxx. Adding pip to the channel url then says it can't find wheel. I looked at the repodata.json and confirmed that it isn't there.
Example:
$ conda create --name test-meta --override-channels -c https://metachannel.conda-forge.org/conda-forge/python python=3.6
Error:
Collecting package metadata: done
Solving environment: failed
PackagesNotFoundError: The following packages are not available from current channels:
- python=3.6 -> libcxx[version='>=4.0.1']
- python=3.6 -> pip
Current channels:
- https://metachannel.conda-forge.org/conda-forge/python/osx-64
- https://metachannel.conda-forge.org/conda-forge/python/noarch
To search for alternate channels that may provide the conda package you're
looking for, navigate to
https://anaconda.org
and use the search bar at the top of the page.
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