JuliaPy / JuliaPy/PythonCall.jl
conda pkg openssl is restricted to version <3.1 - this prevents installation of recent r-base
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Description
Not sure whether this is a bug, probably not?
How can we rely on more recent openssl version, e.g. in order to install a recent `r-base` next to PythonCall?
I got the following error
```
error libmamba Could not solve for environment specs
The following packages are incompatible
├─ openssl >=3,<3.1 is requested and can be installed;
└─ r 4.4 is not installable because it requires
└─ r-base >=4.4,<4.5.0a0 but there are no viable options
├─ r-base [4.4.0|4.4.1] would require
│ └─ libcurl >=8.8.0,<9.0a0 but there are no viable options
│ ├─ libcurl [8.10.0|8.10.1] would require
│ │ └─ openssl >=3.3.2,<4.0a0 , which conflicts with any installable versions previously reported;
│ ├─ libcurl 8.11.1 would require
│ │ └─ openssl >=3.4.0,<4.0a0 , which conflicts with any installable versions previously reported;
│ ├─ libcurl 8.8.0 would require
│ │ └─ openssl >=3.3.0,<4.0a0 , which conflicts with any installable versions previously reported;
│ └─ libcurl [8.8.0|8.9.0|8.9.1] would require
│ └─ openssl >=3.3.1,<4.0a0 , which conflicts with any installable versions previously reported;
├─ r-base 4.4.1 would require
│ └─ libcurl [>=8.9.0,<9.0a0 |>=8.9.1,<9.0a0 ], which cannot be installed (as previously explained);
├─ r-base [4.4.1|4.4.2] would require
│ └─ libcurl >=8.10.1,<9.0a0 , which cannot be installed (as previously explained);
└─ r-base 4.4.2 would require
└─ libcurl >=8.11.1,<9.0a0 , which cannot be installed (as previously explained).
```
Contributor guide
No contributing guide indexed for this repository
Research direction
The issue names no repository files, tests, or entry points. Start by reproducing the conda solver conflict involving openssl, libcurl, r-base, and PythonCall, then trace where the openssl restriction is declared. Done means determining whether the dependency constraint can be changed and verifying that a recent r-base installs alongside PythonCall.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- julia, python, r
- Domain
- tooling
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100