pymc-devs / pymc-devs/pytensor

BUG: Latest PyTensor versions not available in conda?

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bug
Dominant language
Python
Stars
644
Forks
208
Avg merge
2d 14h
Merged PRs (30d)
16

Description

Describe the issue:

When I execute conda search pytensor

I received

Loading channels: done
# Name                       Version           Build  Channel             
pytensor                      2.12.3 py310h46d7db6_0  pkgs/main           
pytensor                      2.12.3 py310h46d7db6_2  pkgs/main           
pytensor                      2.12.3 py311h7aedaa7_0  pkgs/main           
pytensor                      2.12.3 py311h7aedaa7_2  pkgs/main           
pytensor                      2.12.3  py38h46d7db6_0  pkgs/main           
pytensor                      2.12.3  py39h46d7db6_0  pkgs/main           
pytensor                      2.12.3  py39h46d7db6_2  pkgs/main           
pytensor                      2.13.1 py310h46d7db6_0  pkgs/main           
pytensor                      2.13.1 py311h7aedaa7_0  pkgs/main           
pytensor                      2.13.1  py38h46d7db6_0  pkgs/main           
pytensor                      2.13.1  py39h46d7db6_0  pkgs/main           
pytensor                      2.23.0 py311h7aedaa7_0  pkgs/main           
pytensor                      2.23.0 py311h7aedaa7_1  pkgs/main           
pytensor                      2.23.0 py312hd77ebd4_0  pkgs/main           
pytensor                      2.23.0 py312hd77ebd4_1  pkgs/main  

but unfortunately I need >=2.28.2 and <2.29. With pip I can see later versions but the developers for pymc-marketing encouraged me to install pytensor with conda. Any suggestions?

Reproducable code example:
conda search pytensor
Error message:

PyTensor version information:

trying to install 2.28.2 or later

Context for the issue:

No response

Contributor guide

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First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reproducing conda search pytensor and compare its results with the requested PyTensor range (>=2.28.2 and <2.29). The issue does not mention repository files, tests, or a packaging entry point; done would mean determining why those versions are absent from the conda results and documenting or resolving their availability.

Written by the indexing model from the issue text.

Assessment

Tech stack
python
Domain
build-system, release
Issue type
Bug
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
25/100

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