def test_normalize_opposites():
concept1 = 'wm/concept/causal_factor/food_security/food_stability'
concept2 = 'wm/concept/causal_factor/food_insecurity/food_instability'
concept3 = ('wm/concept/causal_factor/crisis_and_disaster/'
'environmental_disasters/natural_disaster/flooding')
# First test the inherently positive being the main grounding
dbr = {'WM': [(concept1, 1.0), (concept2, 0.5), (concept3, 0.1)]}
ev = Event(Concept('x', db_refs=dbr), delta=QualitativeDelta(polarity=1))
pa = Preassembler(world_ontology, stmts=[ev])
pa.normalize_opposites(ns='WM')
# We are normalizing to food supply since that is the inherently
# positive concept
assert pa.stmts[0].concept.db_refs['WM'][0] == \
(concept1, 1.0), pa.stmts[0].concept.db_refs['WM']
assert pa.stmts[0].concept.db_refs['WM'][1] == \
(concept1, 0.5), pa.stmts[0].concept.db_refs['WM']
assert pa.stmts[0].concept.db_refs['WM'][2] == \
(concept3, 0.1), pa.stmts[0].concept.db_refs['WM']
assert pa.stmts[0].delta.polarity == 1
# Next test the inherently negative being the main grounding
dbr = {'WM': [(concept2, 1.0), (concept1, 0.5), (concept3, 0.1)]}
ev = Event(Concept('x', db_refs=dbr), delta=QualitativeDelta(polarity=1))
pa = Preassembler(world_ontology, stmts=[ev])
pa.normalize_opposites(ns='WM')
# We are normalizing to food supply since that is the inherently
# positive concept
assert pa.stmts[0].concept.db_refs['WM'][0] == \
(concept1, 1.0), pa.stmts[0].concept.db_refs['WM']
assert pa.stmts[0].concept.db_refs['WM'][1] == \
(concept1, 0.5), pa.stmts[0].concept.db_refs['WM']
assert pa.stmts[0].concept.db_refs['WM'][2] == \
(concept3, 0.1), pa.stmts[0].concept.db_refs['WM']
assert pa.stmts[0].delta.polarity == -1
def test_normalize_opposites_influence():
concept1 = 'wm/concept/causal_factor/food_security/food_stability'
concept2 = 'wm/concept/causal_factor/food_insecurity/food_instability'
dbr1 = {'WM': [(concept1, 1.0), (concept2, 0.5)]}
dbr2 = {'WM': [(concept2, 1.0), (concept1, 0.5)]}
stmt = Influence(
Event(Concept('x', db_refs=dbr1), delta=QualitativeDelta(polarity=1)),
Event(Concept('y', db_refs=dbr2), delta=QualitativeDelta(polarity=-1)))
pa = Preassembler(world_ontology, stmts=[stmt])
pa.normalize_opposites(ns='WM')
assert pa.stmts[0].subj.delta.polarity == 1
assert pa.stmts[0].obj.delta.polarity == 1
