Bug risk: Using `customize_funcs()` with Dask to update the parameters of a `@flow` or `@subflow`

[Andrew-S-Rosen]

Details about the quacc environment

• quacc version: 0.6.10+
• Python version: 3.11

What is the issue?

https://github.com/Quantum-Accelerators/quacc/blob/fae639338d704489638574a7b7ef66d122f62594/src/quacc/wflow_tools/customizers.py#L100-L135

When calling customize_funcs() with the update_parameters keyword argument, the user can update the parameters of any @job, @flow, or @subflow. In most cases, this is a @job. However, if the object we are updating the parameters of is a @flow or @subflow, it won't be properly updated when using Dask unless we pass the decorator keyword argument to update_parameters which seems very easy to forget.