Comments (3)
It's not possible at the moment, if you want it you have to build your own message.
from pythonwhat.
@hugobowne To give some more context: It works now!
If you now use test_function("numpy.array", ...)
(you still have to refer to the function with its full package name), pythonwhat
will figure out under which alias the user used the array()
function. If the user used import numpy as np
, the automatically generated feedback messages will contain stuff like "inside your call of np.array()
, argument x is incorrect".
Does this clarify things?
from pythonwhat.
@filipsch this does clarify things greatly.
also, in these final remarks on issues raised on github, it would be helpful if you pointed to any change in documentation/wiki, if there is any, and if there is not, state explicitly that there is not. thanks
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Related Issues (20)
- Better support to check pandas chains
- Get rid of test_with()
- More clearly document check_args() for check_function_def()
- Fix old SCTs that fail assertions HOT 2
- check_class_def support HOT 6
- check_function inside for loop can't find aliases outside
- Expose and document `has_error()` function
- Incorrect highlighting because of flaws in ObjectAssignmentParser
- Add article about message generation
- Improve API for checking the signature in check_function_def
- Reference: check_object missing explanation of two params HOT 1
- Unable to Install HOT 2
- Document the order to check chained functions
- The easy way to extract the message associated with "TestFail" HOT 2
- Specifying filenames to setup_state() HOT 2
- Add a tolerance argument to has_equal_value()
- Add a test based on the line of a code
- check_function() not working as documented (or what am I missing?)
- has_output() doesn't work with two 'print'
- Small documentation error on check_function_def
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