def eval(self, offer: Optional[Outcome]) -> Optional[UtilityValue]:
# noinspection PyBroadException
if offer is None:
return self.reserved_value
try:
if isinstance(offer, dict) and isinstance(self.mapping, dict):
m = gmap(self.mapping, outcome_as_tuple(offer))
else:
m = gmap(self.mapping, offer)
except Exception:
return self.default
return m
def eval(self, offer: Optional["Outcome"]) -> Optional[UtilityValue]:
if offer is None:
return self.reserved_value
u = ExactUtilityValue(0.0)
for weight, outcome_range, mapping in zip(
self.weights, self.outcome_ranges,
self.mappings): # type: ignore
# fail on any outcome_range that constrains issues not in the presented outcome
if outcome_range is not None and set(ikeys(outcome_range)) - set(
ikeys(offer)) != set([]):
if self.ignore_issues_not_in_input:
continue
return None
elif outcome_range is None or outcome_in_range(
offer, outcome_range):
if isinstance(mapping, float):
u += weight * mapping
else:
# fail if any outcome_range utility_function cannot be calculated from the input
try:
# noinspection PyTypeChecker
u += weight * gmap(mapping, offer)
except KeyError:
if self.ignore_failing_range_utilities:
continue
return None
return u
def eval(self, offer: Optional["Outcome"]) -> Optional[UtilityValue]:
if offer is None:
return self.reserved_value
if not isinstance(self.hypervolumes, Iterable):
raise ValueError(
"Hypervolumes are not set. Call set_params() or pass them through the constructor."
)
u = []
for hypervolume, mapping in zip(self.hypervolumes, self.mappings):
if outcome_in_range(offer, hypervolume):
u.append(gmap(mapping, offer))
return self.f(u)
def eval(self, offer: Optional["Outcome"]) -> Optional[UtilityValue]:
if offer is None:
return self.reserved_value
if self.issue_utilities is None:
raise ValueError(
"No issue utilities were set. Call set_params() or use the constructor"
)
u = {}
for k in ikeys(self.issue_utilities):
v = iget(offer, k)
u[k] = gmap(iget(self.issue_utilities, k), v)
return self.f(u)
def eval(self, offer: Optional["Outcome"]) -> Optional[UtilityValue]:
if offer is None:
return self.reserved_value
u = ExactUtilityValue(0.0)
for k in ikeys(self.issue_utilities):
if isinstance(offer, tuple):
v = iget(offer, self.issue_indices[k])
else:
v = iget(offer, k)
current_utility = gmap(iget(self.issue_utilities, k), v)
if current_utility is None:
return None
w = iget(self.weights, k) # type: ignore
if w is None:
return None
try:
u += w * current_utility
except FloatingPointError:
continue
return u
def xml(self, issues: List[Issue]) -> str:
"""Generates an XML string representing the utility function
Args:
issues:
Examples:
>>> from negmas.utilities.nonlinear import MappingUtilityFunction
>>> issues = [Issue(values=10, name='i1'), Issue(values=['delivered', 'not delivered'], name='i2')
... , Issue(values=4, name='i3')]
>>> f = LinearUtilityAggregationFunction([lambda x: 2.0*x
... , {'delivered': 10, 'not delivered': -10}
... , MappingUtilityFunction(lambda x: x-3)]
... , weights=[1.0, 2.0, 4.0])
>>> print(f.xml(issues))
<issue index="1" etype="discrete" type="discrete" vtype="discrete" name="i1">
<item index="1" value="0" evaluation="0.0" />
<item index="2" value="1" evaluation="2.0" />
<item index="3" value="2" evaluation="4.0" />
<item index="4" value="3" evaluation="6.0" />
<item index="5" value="4" evaluation="8.0" />
<item index="6" value="5" evaluation="10.0" />
<item index="7" value="6" evaluation="12.0" />
<item index="8" value="7" evaluation="14.0" />
<item index="9" value="8" evaluation="16.0" />
<item index="10" value="9" evaluation="18.0" />
</issue>
<issue index="2" etype="discrete" type="discrete" vtype="discrete" name="i2">
<item index="1" value="delivered" evaluation="10" />
<item index="2" value="not delivered" evaluation="-10" />
</issue>
<issue index="3" etype="discrete" type="discrete" vtype="discrete" name="i3">
<item index="1" value="0" evaluation="-3" />
<item index="2" value="1" evaluation="-2" />
<item index="3" value="2" evaluation="-1" />
<item index="4" value="3" evaluation="0" />
</issue>
<weight index="1" value="1.0">
</weight>
<weight index="2" value="2.0">
</weight>
<weight index="3" value="4.0">
</weight>
<BLANKLINE>
>>> print(f.xml({i:_ for i, _ in enumerate(issues)}))
<issue index="1" etype="discrete" type="discrete" vtype="discrete" name="i1">
<item index="1" value="0" evaluation="0.0" />
<item index="2" value="1" evaluation="2.0" />
<item index="3" value="2" evaluation="4.0" />
<item index="4" value="3" evaluation="6.0" />
<item index="5" value="4" evaluation="8.0" />
<item index="6" value="5" evaluation="10.0" />
<item index="7" value="6" evaluation="12.0" />
<item index="8" value="7" evaluation="14.0" />
<item index="9" value="8" evaluation="16.0" />
<item index="10" value="9" evaluation="18.0" />
</issue>
<issue index="2" etype="discrete" type="discrete" vtype="discrete" name="i2">
<item index="1" value="delivered" evaluation="10" />
<item index="2" value="not delivered" evaluation="-10" />
</issue>
<issue index="3" etype="discrete" type="discrete" vtype="discrete" name="i3">
<item index="1" value="0" evaluation="-3" />
<item index="2" value="1" evaluation="-2" />
<item index="3" value="2" evaluation="-1" />
<item index="4" value="3" evaluation="0" />
</issue>
<weight index="1" value="1.0">
</weight>
<weight index="2" value="2.0">
</weight>
<weight index="3" value="4.0">
</weight>
<BLANKLINE>
"""
output = ""
keys = list(ikeys(issues))
for i, k in enumerate(keys):
issue = iget(issues, k)
issue_name = issue.name
if issue.is_float():
output += f'<issue index="{i + 1}" etype="real" type="real" vtype="real" name="{issue_name}">\n'
output += f'<range lowerbound = {issue.min_value} upperbound = {issue.max_value} ></range>'
# elif issue.is_integer():
# output += f'<issue index="{i + 1}" etype="integer" type="integer" vtype="integer" name="{issue_name}">\n'
# output += f'<range lowerbound = {issue.min_value} upperbound = {issue.max_value} ></range>'
else:
output += f'<issue index="{i+1}" etype="discrete" type="discrete" vtype="discrete" name="{issue_name}">\n'
vals = iget(issues, k).all
for indx, v in enumerate(vals):
try:
u = gmap(iget(self.issue_utilities, issue_name), v)
except:
u = gmap(iget(self.issue_utilities, k), v)
v_ = (v
if not (isinstance(v, tuple) or isinstance(v, list))
else "-".join([str(_) for _ in v]))
output += (
f' <item index="{indx+1}" value="{v_}" evaluation="{u}" />\n'
)
output += "</issue>\n"
if isinstance(issues, dict):
if isinstance(self.weights, dict):
weights = self.weights
else:
weights = {k: v for k, v in zip(ikeys(issues), self.weights)}
else:
if isinstance(self.weights, list):
weights = self.weights
else:
weights = list(self.weights.get(i.name, 1.0) for i in issues)
for i, k in enumerate(keys):
output += f'<weight index="{i+1}" value="{iget(weights, k)}">\n</weight>\n'
return output