Closed michaelosthege closed 1 year ago
You're on osx-arm64?
No, windows
In https://anaconda.org/conda-forge/pytensor-base/2.10.1/download/win-64/pytensor-base-2.10.1-py39h99910a6_0.conda → info-pytensor-base-2.10.1-py39h99910a6_0.tar.zst → index.json:
{
"arch": "x86_64",
"build": "py39h99910a6_0",
"build_number": 0,
"depends": [
"cons",
"etuples",
"filelock",
"logical-unification",
"minikanren",
"numpy >=1.17.0",
"numpy >=1.24.2,<2.0a0",
"python >=3.9,<3.10.0a0",
"python_abi 3.9.* *_cp39",
"scipy >=0.14",
"setuptools >=48.0.0",
"typing_extensions",
"ucrt >=10.0.20348.0",
"vc >=14.2,<15",
"vs2015_runtime >=14.29.30139"
],
"license": "BSD-3-Clause",
"name": "pytensor-base",
"platform": "win",
"subdir": "win-64",
"timestamp": 1676935903169,
"version": "2.10.1"
}
so indeed there is a requirement being added. I suspect it's 1503648 from https://github.com/conda-forge/pytensor-suite-feedstock/pull/16.
I'm guessing that it's the host dependency, so perhaps leaving it as a build and run dependency is sufficient?
Do you know where is that issue regarding the ABI compatibility from around the same time?
I'm surprised that a numpy pin is being added despite not using pin_compatible("numpy")
as per https://conda-forge.org/docs/maintainer/knowledge_base.html#cross-compilation
I got the problem in a Docker image build, so Linux. I tested the MWE on Windows, yes, but I have a strong prior that this is in fact independent of the OS.
I also tried to inspect the .conda
file, but couldn't open the .tar.zst
inside. How did you do that?
I'm running Ubuntu and the default Archive Manager opens it no problem.
@conda-forge-admin please rerender
Hi! This is the friendly automated conda-forge-webservice.
I just wanted to let you know that I started rerendering the recipe in conda-forge/pytensor-suite-feedstock#35.
Solution to issue cannot be found in the documentation.
Issue
Trying to update to
pytensor-base==2.10.1
(for PyMC 5.1.1) I'm stuck becausepytensor-base==2.10.1
appears to requirenumpy>=1.24.2
but I can't figure out why. The recipe in this feedstock only requiresnumpy>=1.17.0
.gives
This is very annoying because support for bleeding-edge NumPy is only available with very recent numba versions that no longer (or not yet) support Python 3.9.
Installed packages
Environment info