/etc/profile.d on Linux so that users can use that env directly. For command line tools, another solution I used is to create simple wrappers under /usr/local/bin. Users can launch a tool without knowing it's installed in a conda env.
conda update conda (currently running 4.11.0) -- using --debug the problem seems to be [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate -- is this just me or is there some kind of server-side issue? If it is just me can someone suggest what I need to do to correct this?
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time docker run --platform linux/amd64 --rm -v ${PWD}:/opt/conda-src -e TEST_SPLITS=3 -e TEST_GROUP=1 ghcr.io/conda/conda-ci:master-linux-python3.9 /opt/conda-src/dev/linux/unit.shneeds 9:17.24time docker run --platform linux/arm64 --rm -v ${PWD}:/opt/conda-src -e TEST_SPLITS=3 -e TEST_GROUP=1 ghcr.io/conda/conda-ci:master-linux-python3.9 /opt/conda-src/dev/linux/unit.shneeds 2:41.42 -> factor 3.4 faster :)
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The packages are listed in the directory listing for the server, but clicking on them gives an XML error and 403 message saying "Access Denied" and "Request has Expired":
- One of the failing packages: https://conda.anaconda.org/pytorch/noarch/pytorch-mutex-1.0-cuda.tar.bz2
- Linked Bug on github: pytorch/pytorch#81798
- nothing provides openssl >=1.1.1,<1.1.2.0a0 needed by python-3.7.1-h0371630_3I explicitly put
python==3.8.* (also tried it with a single = in my yaml file.Not really sure what to do? Is there a reliable way to pin the Python version? Is there a reliable way to do detective work and see what package in my
yaml file is responsible for this chain of events?Thanks!
conda install -c bioconda checkv. Is there something I did wrong when I updated the recipe?
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⇒ rename conda environments
⇒ channel notifications
⇒ better error handling
⇒ and more!
Many thanks to all our contributors, especially the 14 new contributors who helped make this happen
So I ran into this trying to update figure out the right workflow for my system
conda/conda#5821
So its clear what I want to do is not the "conda approved" workflow so I am trying to figure out the right method.
I have software repo A that provides a conda environment to run it. Then I have software repo B that uses repo A as a dependency but also adds a number of additional dependencies that are not needed for repo A.
It seems like what I would want is to specify a new environment in repo B that is something like "these dependencies plus whatever is in the repo A environment file" and for the package manager to solve for if that's possible (and it will be) and build me that environment. If its not possible it would throw and error just like it does if I make a single environment file that isn't possible, like asking for specific versions of packages that don't go together.
What is the suggested workflow for this? Would env update second_file.yaml work to add second set of dependencies?
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?
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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 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?
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