Commits on Feb 24, 2023

1. Add tests that bring contraints.exceptions coverage to 100%

   

   mih committed Feb 24, 2023
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2. On-demand constraint-tailoring to dataset arguments …

   This exposes a, so far dormant, feature of the `Constraint` class to
   parameter validation: constraint tailoring for particular datasets.
   
   `EnsureCommandParameterization` learned a `tailor_for_dataset` parameter
   that can be used to identify which parameters' constraints should be
   tailored for which `Dataset` instances. Tailoring will only be actually
   done under the following conditions:
   
   - the dataset-providing parameters need to evaluate to a
     DatasetParameter instance, typically via `EnsureDataset`
     (all regular conditions apply, e.g. a default `None` not being processed
     etc)
   - the to-be-tailored parameter `Constraint` needs to implement its
     `for_dataset()` method to perform a tailoring.
   
   A test with some custom-made constraints is included. At the moment,
   no production-ready constraints do implement `for_dataset()`. However,
   now that a consumer for that is available, it makes more sense to
   address related issues, such as:
   
   - datalad#193
   - datalad#131
   
   Closes datalad#200

   

   mih committed Feb 24, 2023
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