* new packages for graph and object-based semantic equivalence
* new method graphically_equivalent for Environment, move equivalence methods out
* object equivalence function, methods used for object-based moved here.
* new graph_equivalence methods
* add notes
* add support for versioning checks (default disabled)
* new tests to cover graph equivalence and new methods
* added more imports to environment.py to prevent breaking changes
* variable changes, new fields for checks, reset depth check per call
* flexibility when object is not available on graph.
* refactor debug logging message
* new file stix2.equivalence.graph_equivalence.rst and stix2.equivalence.object_equivalence.rst for docs
* API documentation for new modules
* additional text required to build docs
* add more test methods for list_semantic_check an graphically_equivalent/versioning
* add logging debug messages, code clean-up
* include individual scoring on results dict, fix issue on list_semantic_check not keeping highest score
* include results as summary in prop_scores, minor tweaks
* Update __init__.py
doctrings update
* apply feedback from pull request
- rename semantic_check to reference_check
- rename modules to graph and object respectively to eliminate redundancy
- remove created_by_ref and object_marking_refs from graph WEIGHTS and rebalance
* update docs/ entries
* add more checks, make max score based on actual objects checked instead of the full list, only create entry when type is present in WEIGHTS dictionary
update tests to reflect changes
* rename package patterns -> pattern
* documentation, moving weights around
* more documentation moving
* rename WEIGHTS variable for graph_equivalence
a user wants a more efficient search capability. (It is more
efficient than calling equivalent_patterns() over and over in a
loop, because it doesn't repeatedly re-canonicalize the search
pattern.)
as part of canonicalizing comparison expressions. This
required adding a new comparison expression transformer callback
for leaf-node comparison expression objects, and updating all
existing comparison transformers to work (it affected all/most
of them). The observation expression transformer which actually
does the comparison canonicalization was updated to also perform
this special canonicalization step.
Emmanuelle Vargas-Gonzalez