Is a checkpoint with varied batch parameters possible?

[VovaVili]

In Great Expectations, GX Core 1.0+, for its Python API, you know if it is possible for a checkpoint to have varied batch parameters per each gx.ValidationDefinition instance passed to it?

Say, I want every validation definition to be bound to a particular dataframe. But if I pass batch parameters to a gx.Checkpoint(...).run(batch_parameters={"dataframe": df_xyz}) method, it just passes that dataframe to all validation definitions.

How do I work around this? I know you can get a checkpoint per each individual validation definition, but this is something that I would like to avoid as much as possible.

[slack_user]

Also here - https://stackoverflow.com/questions/79027825/great-expectations-is-a-checkpoint-with-varied-batch-parameters-possible
_{Note: @Vladimir Vilimajtis originally posted this reply in Slack. It might not have transferred perfectly.}

[VovaVili]

As per Tyler Hoffman in GX Slack:

Hey @Владимир Вилимайтис we discussed that, but for now landed on one
batch parameters dict that gets passed to all validation definitions.
If you want different batch params passed to each validation
definition, I would probably put each in its own checkpoint, and then
pass in the corresponding dataframe to each.