Hadrien Mary

Also at what level this script should be run? conda or conda-forge?

It makes sense. That being said I probably don't have the bandwidth at the moment to do that for https://github.com/conda-forge/staged-recipes/pull/11799

I have the same error using Minikube.

This small hack fixed it for me: ```python # Current hack to make it work: should be fixed soon manifest = wk.to_dict() manifest["apiVersion"] = "argoproj.io/v1alpha1" manifest["kind"] = "Workflow" ```

Here it is: ```python import secrets from argo.workflows.client import V1alpha1Api from argo.workflows.config import load_kube_config from argo.workflows.dsl import Workflow from argo.workflows.dsl.tasks import task, dependencies from argo.workflows.dsl.templates import parameter from argo.workflows.dsl.templates import...

@yxue-kabam do you have feedbacks about using Argo and this library to build an ML cluster?

Thanks Lu. I'll review it today. Please be careful next time about starting from an up-to-date `main` branch to prevent committing many old and unrelated files.

@zhu0619 and @maclandrol: I am done here if you want to review it again. @zhu0619 : I have made some API modifications. Can you check whether your code still work...

Same here. The logs are correctly disabled when calling rdkit functions directly below the disabling code but fail when the rdkit functions are called downstream in a function of function...

I am trying to understand how the rdkit C++ logging works. I tried. ```python from rdkit import RDLogger from rdkit.rdBase import DisableLog for level in RDLogger._levels: DisableLog(level) ``` That is...