Isuru Fernando

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> When building latest Pytorch from src and install fbgemm_nightly via pip This is not expected to work as Pytorch will be compiled with C++11 ABI when you build from...

> Of course, this is trouble for the repo that provides libpq itself! How so?

In any case, this is not a conda-smithy issue, but a conda-build issue.

> The postgresql-feedstock provides libpq How is adding the `libpq=15` pin a problem here? It's harmless.

> the metadata of the built artifact ends up including libpq=15. Which metadata?

> see [build log](https://dev.azure.com/conda-forge/84710dde-1620-425b-80d0-4cf5baca359d/_apis/build/builds/639277/logs/54) As I said before, that's harmless.

Ok. This is still a conda-build issue and not a conda-smithy issue.

Another option is ```yaml requirements: ignore_run_exports: from_cache: - ``` which feels natural given we have `from_package` and `by_name`

IMO inheriting requirements is a bad idea in general because it will result in cryptic solve errors. 1 and 3 of @wolfv's suggestions will lead to solve errors. I don't...

Overall I like the idea. I proposed the same thing when v1 was being developed, but there was no interest. I'm having a hard time finding the conversation though. More...