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ciyer on 000-tests-ui-2_0-next
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docs: add changes from review (compare)
github-actions[bot] on 0.12.10-2.e711ddd
rokroskar on 0.12.10
rokroskar on prep-0.12.10
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chore: prep 0.12.10 (#2572) (compare)
make-values.shproviding my gitlab url & application credentials. Then I installed renku using helm providing the generated values. Every pod runs fine except for the renku-gateway-auth one which fails with "Obtaining public key from https://<redacted>/auth/realms/Renku" which leads me to believe that something is wrong with the keycloak configuration (note that I have not done any specific configuration except for the make-values.sh). Browsing https://<redacted>/auth/realms/Renku gets me a keycloak page with "We are sorry...
%run -m rpy2.situation
3.9.5 | packaged by conda-forge | (default, Jun 19 2021, 00:32:32)
Looking for R's HOME:
Environment variable R_HOME: /usr/local/lib/R
R RHOME: /opt/conda/lib/R
Environment variable R_LIBS_USER: None
Warning: The environment variable R_HOME differs from the default R in the PATH.
R's additions to LD_LIBRARY_PATH:
In the PATH: R version 4.1.0 (2021-05-18) -- "Camp Pontanezen"
Loading R library from rpy2: OK
Additional directories to load R packages from:
C extension compilation:
['R', 'pcre2-8', 'lzma', 'bz2', 'z', 'rt', 'dl', 'm', 'icuuc', 'icui18n']
I believe this shows that there are two separate installations. I can run the rpy2 one by changing the R_HOME variable (os.environ['R_HOME'] = '/opt/conda/lib/R') but I then do not have access to the packages installed by R. So my question is, should I just add the R folder to my library folder to use the packages installed by install.R, or is there a more direct way to use the exact same R from the start? I have tried to set the home to the conda folder inside install.R, but it tells me that the folder is not writable.
Hi there! I have tried to clone a repository from a challenge names "s2s-ai-challenge" and it gives me an authentication error when using the renku clone command:
renku clone https://renkulab.io/gitlab/antonioperezvelasco/s2s-ai-challenge-predictia.git
I have tried to use my e-mail and my username with the corresponden password, but I'm not able to solve the error
I have two out of 38 students who told me they could not save their work. They would get the attached message when they try to git push the tracked, and committed changes. Any help is appreciated:
Locking support detected on remote "origin". Consider enabling it with: $ git config lfs.https://renku.unifr.ch/gitlab/<student_name>/sp21-sgg-00272.git/info/lfs.locksverify true To https://renku.unifr.ch/gitlab/<student_name>/sp21-sgg-00272.git ! [rejected] HEAD -> master (fetch first) error: failed to push some refs to 'https://renku.unifr.ch/gitlab/<student_name>/sp21-sgg-00272.git' hint: Updates were rejected because the remote contains work that you do hint: not have locally. This is usually caused by another repository pushing hint: to the same ref. You may want to first integrate the remote changes hint: (e.g., 'git pull ...') before pushing again. hint: See the 'Note about fast-forwards' in 'git push --help' for details.
Hello everyone, as you may have noticed by the recent notifications, we are planning to release a new version of Renku on renkulab.io tomorrow afternoon at 16:00 CET. This new version of Renku brings significant changes and improvements but it also requires us to shut down all active user sessions before doing the upgrade. Therefore please make sure you shut down any active sessions you may have on renkulab.io by 16:00 CET tomorrow (November 4th). If you leave any sessions running when we start the update process any data or code in them that has not been saved will be lost.
Please let me know if you have any questions or concerns. The update process should be finished within a few hours at most. We do not anticipate that similar interruptions will occur any time in the near future.
Dear renkulab users,
0.10.0 rollout went fine and you can now enjoy working with Renku again :tada:
Also, in case you were not aware: there was a small outage this morning on renkulab.io, see the post-mortem, if you had open sessions it's possible that unsaved work was kept in an auto-saved branch on your project. See this post for more details on how to potentially recover unsaved work and how the auto-save feature works.
Hi! I'm rather new to renku, and I'm trying to build an image based on this
environment.yml: https://renkulab.io/gitlab/geert.vangeest/ngs-introduction-training/-/blob/master/environment.yml . However, during building it gives the following error:
UnavailableInvalidChannel: The channel is not accessible or is invalid. channel name: bioconda channel url: https://conda.anaconda.org/bioconda 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.
conda config --add channels bioconda to the Dockerfile did not help. How should I proceed?
No logs available for this pod yet.). Do you know what is happening ?
Hi there, I did not use one of my Renku project (https://renkulab.io/projects/rdefondeville/mvPot_tutorial) for while and I am requested to migrate it. When I click on the warming sign, it is recommended to launch a session, follow some instruction (page is not found) and use "renku migrate".
I am unfortunately not able to start any session and the page of instruction being not available does not help me figuring out how I can do this migration. Could you please help me updating the project? Thanks in advance!
renku/renkulab-py:3.9-0.10.3for python and it already includes jupyterlab 3.0. The base image is specified on the
ARG RENKU_BASE_IMAGEline in the
Dockerfilein your repository - so right now you probably have something like
ARG RENKU_BASE_IMAGE=renku/renkulab-py:3.7-renku0.10.4-0.6.3and it should read
ARG RENKU_BASE_IMAGE=renku/renkulab-py:3.9-0.10.3. Note that this will also change your python version.
We are sorry... invalidFederatedIdentityActionMessageI did a quick search and the following came up: https://stackoverflow.com/a/63249672. Is this only happening for me?
I have a problem with my Renku project. I'm working with heavy datasets and I don't manage to unzip heavy .bz2 files to pickle them. When I am running my code, the kernel automatically restarts after a few minutes.
I am working with an 8G memory and 64G storage session and the size of the datasets I don't manage to download are about 500MB when they are zipped.
My code works for lighter datasets (below 500MB) so I think it's a size problem. Is there a way to open a session with more resources?
Thanks in advance for your help!
Hello everyone, could somebody help me for the problem I have submitted below as 22.02.2022 ? thanks a lot for replying and have a nice day. Waldo.
Hi Waldo you are referring to your image not building in one of your projects? Have you tried simply re-running the CI job? It seems to me like this could be an intermittent problem related to maybe low resources or problems with our Gitlab deployment.
bash: renku: command not found.I have tested new project with Python/ Minimal Renku and it seems ok. Not sure, but I think it's not only for v1.1.1 but also for prior versions. Does it also happen with other people .. ?