Tickets/DM-47442: Require convergence for TIE Zernike estimates

[jfcrenshaw]

This also fixes:

• a bug with the history-loading util
• a bug with changing the donut binning parameter not being picked up in the task

[jbkalmbach]

Looks good. I merged the necessary change in donut_viz to main and tested the pipeline successfully.

[jbkalmbach]

Why did this have to move out of the base task? It looks like you moved the same thing into the individual tasks?

[jfcrenshaw]

It's because the binning is currently implemented inside the individual algorithms, instead of at the WfEstimator level. So this needs to be in the individual task configs so that the config is passed onto the individual algorithms. Configs at the base task level are filtered out when constructing individual algorithms:

ts_wep/python/lsst/ts/wep/task/estimateZernikesBase.py

Lines 104 to 112 in 10fbca0

	def wfAlgoConfig(self) -> WfAlgorithm:
	"""Return the configuration for the WfAlgorithm."""
	algoConfig = {
	key: val
	for key, val in self.config.toDict().items()
	if key not in EstimateZernikesBaseConfig._fields.keys()
	}
	return WfAlgorithmFactory.createWfAlgorithm(self.wfAlgoName, algoConfig)