Adding telescope constraints to the time_dependent plots #548
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bmorris3
requested changes
Jul 27, 2023
| @@ -2,6 +2,7 @@ | |||
| from __future__ import (absolute_import, division, print_function, | |||
| unicode_literals) | |||
| import copy | |||
| from xmlrpc.client import boolean | |||
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| # Firstly, check that the constraints are valid if any. | ||
| if constraints is not None: | ||
| if isinstance(constraints, Constraint): | ||
| constraints = [constraints] | ||
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| assert isinstance(constraints, (list, tuple, np.ndarray)), "constraints must be an array-like object or a single Constraint instance." | ||
| for cons in constraints: | ||
| assert isinstance(cons, Constraint), "All constraint objects must be Constraints" | ||
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| # Make sure they're boolean | ||
| assert hasattr(cons, 'boolean_constraint'), "Each constraints element must have the 'boolean_constraint attribute." | ||
| assert cons.boolean_constraint, "Cannot work with non-boolean constraints." | ||
| # Then make sure they're not some weird user-generated constraint. | ||
| assert hasattr(cons, 'compute_constraint'), "Constraints must have a 'compute_constraint' method." | ||
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Rather than including asserts in the function here, a more common approach is to extract the elements of the list that meet the validation criteria, without raising an error.
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Hello!
I'm proposing the addition of
Constraints to thetime_dependentplots, specificallyplot_airmass. Currently, my changes add a thick black line where the telescope constraints are not satisfied (i.e. the object is not observable when it's marked black).The figure above shows an example image with my custom
Constraintclass calledKeckVisibilitywhich takes into account the various telescope pointing constraints at Keck I and Keck II.I've not made any changes to the other plots yet as they're plotted somewhat differently but am happy to take suggestions for those as well.
Regards,
Sunil