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Bone-Market-Solver
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Remove BoneMarketModel.AddDivisionApproximateExponentiationEquality 

This function has been obsoleted by the ability to pass partial methods
as parameters to helper functions.

Use of this function has been replaced with partial methods accordingly.
This has allowed some intermediate variables to be removed entirely,
allowing for further simplification.
This commit is contained in:
Jeremy Saklad 2021-10-16 13:11:51 -05:00
parent 6b9643041a
commit 1175575c92
Signed by: Jeremy Saklad
GPG Key ID: 9CA2149583EDBF84
2 changed files with 22 additions and 30 deletions
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16
bonemarketsolver/objects/bone_market_model.py
View File

@ -22,22 +22,6 @@ Set `upto` to a value that is unlikely to come into play.
Each parameter is interpreted as a BoundedLinearExpression, and a layer of indirection is applied such that each Constraint in the returned tuple can accept an enforcement literal."""
return self.AddAllowedAssignments((target, var), ((int(base**exp), base) for base in range(upto + 1)))
def AddDivisionApproximateExponentiationEquality(self, target, num, denom, exp, upto):
"""Adds `target == (num // denom)**exp` using a lookup table.
Set `upto` to a value that is unlikely to come into play.
`target`, `num`, and `denom` are interpreted as a BoundedLinearExpression, and a layer of indirection is applied such that each Constraint in the returned tuple can accept an enforcement literal."""
quotient = self.NewIntVar(f'{repr(target)} == ({repr(num)} // {repr(denom)})**{repr(exp)}: quotient')
intermediate_num, num_constraint = self.NewIntermediateIntVar(num, f'{repr(target)} == ({repr(num)} // {repr(denom)})**{repr(exp)}: num', lb = 0)
intermediate_denom, denom_constraint = self.NewIntermediateIntVar(denom, f'{repr(target)} == ({repr(num)} // {repr(denom)})**{repr(exp)}: denom', lb = 1)
intermediate_target, target_constraint = self.NewIntermediateIntVar(target, f'{repr(target)} == ({repr(num)} // {repr(denom)})**{repr(exp)}: target')
super().AddDivisionEquality(quotient, intermediate_num, intermediate_denom)
super().AddAllowedAssignments((intermediate_target, quotient), ((int(base**exp), base) for base in range(upto + 1)))
return (num_constraint, denom_constraint, target_constraint)
def AddDivisionEquality(self, target, num, denom):
"""Adds `target == num // denom` (integer division rounded towards 0).

36
bonemarketsolver/solve.py
View File

@ -956,25 +956,33 @@ def Solve(shadowy_level, bone_market_fluctuations = None, zoological_mania = Non
menace,
)
}
for fascination, criteria in (
('BIRD', (cp_model.BoundedLinearExpression(skeleton_in_progress, (180, 189)),)),
('FISH', (cp_model.BoundedLinearExpression(skeleton_in_progress, (190, 199)),)),
('INSECT', (cp_model.BoundedLinearExpression(skeleton_in_progress, (210, 219)),)),
('REPTILE', (cp_model.BoundedLinearExpression(skeleton_in_progress, (160, 169)),)),
('SKULLS', (skeleton_in_progress >= 100, skulls >= 5)),
):
compromising_documents = model.NewIntVar(f'{getattr(DiplomatFascination, fascination).name}: compromising documents')
compromising_documents_constraints = model.AddDivisionApproximateExponentiationEquality(compromising_documents, cp_model.LinearExpr.Sum((amalgamy, antiquity, menace)), 3, 2.2, MAXIMUM_ATTRIBUTE)
{
model.AddIf(actions[getattr(DiplomatFascination, fascination).value],
*criteria,
partialmethod(BoneMarketModel.AddDivisionMultiplicationEquality, primary_revenue - 50, value, 50),
secondary_revenue == 50*compromising_documents,
compromising_documents_constraints, # Applies enforcement literal to intermediate calculations
partialmethod(BoneMarketModel.AddMultiplicationEquality,
secondary_revenue,
(50,
partialmethod(BoneMarketModel.AddApproximateExponentiationEquality,
var = partialmethod(BoneMarketModel.AddDivisionEquality,
num = cp_model.LinearExpr.Sum((amalgamy, antiquity, menace)),
denom = 3
),
exp = 2.2,
upto = MAXIMUM_ATTRIBUTE
)
)
),
difficulty_level == 0,
partialmethod(BoneMarketModel.AddDivisionEquality, added_exhaustion, secondary_revenue, 5000),
)
else:
del fascination, criteria, compromising_documents, compromising_documents_constraints
) for fascination, criteria in (
('BIRD', (cp_model.BoundedLinearExpression(skeleton_in_progress, (180, 189)),)),
('FISH', (cp_model.BoundedLinearExpression(skeleton_in_progress, (190, 199)),)),
('INSECT', (cp_model.BoundedLinearExpression(skeleton_in_progress, (210, 219)),)),
('REPTILE', (cp_model.BoundedLinearExpression(skeleton_in_progress, (160, 169)),)),
('SKULLS', (skeleton_in_progress >= 100, skulls >= 5)),
)
}
# Maximize profit margin