Firstly - the list of roles to filter needs to be a combination of the assignable roles and the existing roles in the course.
Secondly - the auto-complete behat step needs to search for entire strings, not substrings.
When searching for non-empty children first retrieve list of all non-empty
fileareas in modules and then check access for each of them. This will be
much faster than checking access for each module and then look for files
and areas inside this module.
Do the same with course file areas
- Store cm_info in file_info_context_module instead of object
- Use correct API calls to component_callback_exists
- Use human readable name of module type
- Preload contexts of subcategories and courses when retrieving their lists
- When there are enrolled courses in hidden subcategories retrieve them together with direct children courses
- Do not call browser->get_file_info - it retrieves the coursecat/course again, instead initialise the instance
of file_info_context_coursecat or file_info_context_course
We have a way to determine a valid zindex when adding things to a page. Find all the moodle-has-zindex things and
choose a value bigger all of them. This needs doing in javascript whenever a thing is opened. It's not possible to
fix generically in CSS (remember the historic z-index wars).
Every time a file is updated, the mimetype is re-processed.
But, some mimetypes can only be detected if the file is present
on local disk. With external file systems, this could cause
the file to be downloaded unnecessarily. Instead, only update
the mimetype when the file content or the file name has changed.
Improve mimetype detection for remote files that
have no file extension. The mimetype detection
that makes use of the file, only works with local
files, so do not use the remote path which can be
a URL or stream.
- Method names renamed to avoid interface changes once
we support regression and unsupervised learning
- Adding regressor interface even if not implemente
- predictor interface comments expanded
- Differentiate model's required accuracy from predictions quality
- Add missing get_callback_boundary call
- Updated datasets' metadata to allow 3rd parties to code
regressors themselves
- Add missing option to exception message
- Include target data into the dataset regardless of being a prediction
dataset or a training dataset
- Explicit in_array and array_search non-strict calls
- Overwrite discrete should_be_displayed implementation with the binary one
- Overwrite no_teacher get_display_value as it would otherwise look
wrong
- Other minor fixes
We want to avoid page jumps wherever possible. This change uses the original select element as a "proxy" to reserve the space
in the DOM for the enhanced auto-complete when the JS runs.
It uses visibility: hidden to make the select not rendered - but still take up space.
The exact sizing for the CSS was determined by testing and reverse engineering the bootstrap calculations.
The size of user pictures in selectors was reduced to avoid flicker when switching between no selection and a selected user. I
could have reserved a larger amount of space, but it looks worse for pickers with no pictures.
If a malformed value was passed, it may be that we can still display it.
We should not assume that, if a string is not passed, that we are
dealing with a promise.