I installed a tool with micromamba on a CentOS 7 machine. The install worked fine, but when I try to run it, I get an error:
ImportError: libffi.so.7: cannot open shared object file: No such file or directory I see libffi.so.6 in the system lib64, and libffi.so.8 in my ~/micromamba/lib (it's a symbolic link to somewhere else in the hierarchy). Is this most likely a problem with the conda package?
1 reply
I am having issues with installing an old package on windows that used to install well and I can no longer install it - I wonder what is the problem - it used to work and no longer works. This is anaconda 2 based and uses python 2 yet it does no longer install even with an older anaconda - here is the command I am using
conda install mist -c jacob-barhak - here is the error I am getting CondaMultiError: CondaHTTPError: HTTP 404 NOT FOUND for url <https://conda.anaconda.org/jacob-barhak/win-64/win-64\inspyred-1.0-py27_0.tar.bz2> - can anyone with a windows machine can try to verify this is what they get...
I looked the anaconda cloud and the file is there. see: https://anaconda.org/jacob-barhak/inspyred I changed it access to public yesterday since I though it will be a source for the error, yet it seems the problem is elsewhere now...
I located someone else who seemed to have a problem like mine and was no answered on stackoverflow: https://stackoverflow.com/questions/59335034/condahttperror-http-404-not-found-for-dask-core-2-7-0-py-0-tar-bz2
does anyone have any clue on why old packages cannot be located anymore?
I also tried conda install inspyred -c jacob-barhak separately - it seems the problem is with this specific package and it is either a conda error or a cloud flare error since there is CF message attached to the http error. Here is how it loos like:
Downloading and Extracting Packages
inspyred-1.0 | 78 KB | | 0%
CondaMultiError: CondaHTTPError: HTTP 404 NOT FOUND for url <https://conda.anaconda.org/jacob-barhak/win-64/win-64\inspyred-1.0-py27_0.tar.bz2>
Elapsed: 00:00.423906
CF-RAY: 74c04c37b9b174a1-LHR
An HTTP error occurred when trying to retrieve this URL.
HTTP errors are often intermittent, and a simple retry will get you on your way.Is there a way to tell if this is a conda issue or a cloud flare issue?
1 reply
Hi All, a draft conda Discourse Forum is now up. See GitHub for the announcement, and for the call for help. My hope is to make this live by the end of September. Please provide feedback in GitHub or here. Thanks.
🚀 We are elated to announce the release of #conda 22.9.0, the first version following CEP 8 (Conda Enhancement Proposal) in our new bi-monthly release cycle.
We are (also!) pleased to announce that the conda Community Forum is now open. Questions, answers, discussions, and news about the conda ecosystem. It is (or will be!) all here.
@thath posted in Conda.org is comming and we want your help! - https://conda.discourse.group/t/conda-org-is-comming-and-we-want-your-help/99/1
@SandeepAllampalli posted in CondaSSLError: OpenSSL appears to be unavailable on this machine. OpenSSL is required to download and install packages - https://conda.discourse.group/t/condasslerror-openssl-appears-to-be-unavailable-on-this-machine-openssl-is-required-to-download-and-install-packages/103/1
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@tnabtaf (Dave Clements) posted in Tell us how you use conda! - https://conda.discourse.group/t/tell-us-how-you-use-conda/113/1
@baszalmstra posted in Https://prefix.dev - a fast package search website - https://conda.discourse.group/t/https-prefix-dev-a-fast-package-search-website/116/1
Hi, I have an env.yaml containing a pip: section. These packages are being built as wheels prior creating the env (residing in /root/.cache/pip, e.g. Docker env). However during the creation of the env, pip ignores the cache and tries to build these again. Is there any way to force pip to use the cache?
@tnabtaf (Dave Clements) posted in Conda-build 3.23.1 Released - https://conda.discourse.group/t/conda-build-3-23-1-released/123/1
@tnabtaf (Dave Clements) posted in 🎉 Conda 22.11.1 Release - https://conda.discourse.group/t/conda-22-11-1-release/139/1
Hi guys, not sure if this is the best channel, can we get some attention on this issue (regarding conda-forge package info not updated on anaconda.org) please? Thanks! https://github.com/conda/infra/discussions/649
1 reply
@tyler_wang (Hellcat) posted in how to build and install a self-made conda package - https://conda.discourse.group/t/how-to-build-and-install-a-self-made-conda-package/146/1
hello,
does anyone knows where CMAKE_ARGS is defined in conda-build ?
I do not seem to find anything in the sources.
I'm trying to figure out how to add flags for conda-forge/conda-forge.github.io#1859
does anyone knows where CMAKE_ARGS is defined in conda-build ?
I do not seem to find anything in the sources.
I'm trying to figure out how to add flags for conda-forge/conda-forge.github.io#1859
2 replies
So it's not conda-build defining it, but a package designed to export those variables upon environment activation, which conda-build triggers for the
build and host environment during the building phases.
@tnabtaf (Dave Clements) posted in Conda is now fiscally sponsored by NumFOCUS - https://conda.discourse.group/t/conda-is-now-fiscally-sponsored-by-numfocus/150/1
Hi all, I'm wondering if it's possible for root to use an unprivileged user's conda install without polluting that install with root-owned files. When another unprivileged user uses someone else's conda install, it seems to be clever enough to use
~/.conda for the pkgs and cache, but I don't see a way to force this for the case of root.
2 replies
Ah, I see, you just want to execute the existing
conda in some user's account, without adding root-owned stuff there... You can define temporary pkgs caches with CONDA_PKGS_DIRS. It might redownload things again, but it shouldn't touch the original pkgs location.
The "clever" approach to fallback to
~/.conda is out of necessity, I'd say. It doesn't change locations because it knows it's another user's property. It does it because it can't write there. By redefining CONDA_PKGS_DIRS (or adding a /root/.condarc with equivalent contents pkgs_dirs: [your_path]), you are mimicking this process, I think.
Is that somehow a compromise Nate Coraor ?
Yep, in fact that's what I'm doing: galaxyproject/ansible-miniconda#4 but I wasn't sure if there was another way to induce the "other unprivleged user" scenario directly.
2 replies
@Angel_Picos posted in Install miniconda3 for windows - https://conda.discourse.group/t/install-miniconda3-for-windows/169/1
In the
continuumio/anaconda3 Docker container I try to install the pyopenms package. But the package cannot be found in the bioconda channel. It is clearly there.(base) root@61346253da63:/# conda install -c bioconda pyopenms
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
PackagesNotFoundError: The following packages are not available from current channels:
- pyopenms
Current channels:
- https://conda.anaconda.org/bioconda/linux-aarch64
- https://conda.anaconda.org/bioconda/noarch
- https://repo.anaconda.com/pkgs/main/linux-aarch64
- https://repo.anaconda.com/pkgs/main/noarch
- https://repo.anaconda.com/pkgs/r/linux-aarch64
- https://repo.anaconda.com/pkgs/r/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.
Hi @lars20070 ! You are running Docker for
aarch64, but the package is only built for linux-64 (amd64 aka Intel/AMD). Is this Docker on Apple Silicon? You can use --platform linux/amd64 in your docker run command to use arch emulation for linux-64.
IIUC
bioconda uses conda-forge as base channel (not defaults)
@wolfv @jaimergp:matrix.org Thanks for the quick reply! Adding the
--platform linux/amd64 option and the conda-forge channel prevented the PackagesNotFoundError above. But # Solving environment: ...working... is not finished after 90 min. I am building the docker image on three machines: Apple Silicon, Windows WSL2 and a GitLab runner. On neither of them does solving the environment finish ...