Changing the return type of the blob functions from integer to float
arrays invalidated the docstring examples. Updating the examples fixes
the doctests.
The test of blob_doh() set an unrealistically strict threshold for the
accuracy of the estimated blob radius, causing the test to fail with the
true floating-point value (previously, the test passed only because
sigma was truncated to integer). Increasing the threshold fixes the
problem.
Skip doc build on 3.2
Skip doc build on 3.2
Use block literal
Fix html make target
Revert change to threshold_isodata
Fix skimage.novice and thresholding warnings
Fix feature.__init__ __all__
Fix generic.py link
Doc reference fixes
Fix missing class member warnings
Add parallelization to the user guide toc
Remove unused automodule directives
Fix sub_dirs in gallery_index
Remove unused file and fix reference to api/api
Add missing links to user guide
Use pre-output links to images
Recover from Juan's doc 'upgrades'
Fix handling of multiple warnings
Update all test __init__ files
Update segmentation pkg
Update the color pkg
Update the exposure pkg
Update the filters pkg
Update the io pkg
Update the measure pkg
Update morphology package
Restructure test setup function
Add expected_warnings to __all__
Update restoration pkg.
Remove explicit filter check since it is done elsewhere
Fix the image test helpers
Update the transform pkg
Fix util pkg
Update viewer pkg
Add a function to set up a skimage test
Switch to new test helper function
Import local packages that raise warnings in test setup function
More fixes to doctests
Fix regionprops doc test
Try and fix the test_rank failure.
Remove no longer needed RectangleSelector shim
Skip more doctests in _regionprops
Try importing another scipy subpackage
Start handling warnings in data, exposure, and draw
Add a known_warning decorator and suppress warnings in color pkg
Use the existing all_warnings context manager
Raise warnings in data
Raise warnings in draw
Raise warnings in exposure
Suppress warnings in exposure tests
Add comments about warning suppressions
Raise warnings in feature
Fix warnings in filter package
Add warning handling to graph
Handle warnings in io package
dan