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Describes the pipeline as accepting a --use_ramp_jump_detection argument,. Attempting to pass this to strun results in: strun: error: unrecognized arguments: --use_ramp_jump_detection=False
The documentation doesn't describe save_calibrated_ramp.
The docs also mention accepting a single datamodel as an input but doesn't describe passing an association.
The output is not described as a list of models (the pipeline doesn't return a single model but may return a list with a single model).
The documentation also doesn't describe how the pipeline handles fully saturated exposures. It appears to "short-circuit" on the first fully saturated model returning only models processed up until that point and not continuing (see #1523).
The text was updated successfully, but these errors were encountered:
https://roman-pipeline.readthedocs.io/en/latest/roman/pipeline/exposure_pipeline.html
generated from (to get a permalink):
romancal/docs/roman/pipeline/exposure_pipeline.rst
Line 44 in c92c48c
Describes the pipeline as accepting a
--use_ramp_jump_detection
argument,. Attempting to pass this to strun results in:strun: error: unrecognized arguments: --use_ramp_jump_detection=False
The documentation doesn't describe
save_calibrated_ramp
.The docs also mention accepting a single datamodel as an input but doesn't describe passing an association.
The output is not described as a list of models (the pipeline doesn't return a single model but may return a list with a single model).
The documentation also doesn't describe how the pipeline handles fully saturated exposures. It appears to "short-circuit" on the first fully saturated model returning only models processed up until that point and not continuing (see #1523).
The text was updated successfully, but these errors were encountered: