Replace unnecessary variables with lambdas
Variables that are only used in one line lend undue complexity to code. Using a one-shot lambda makes the use of a declaration much more obvious.
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@ -13,10 +13,7 @@ class BoneMarketModel(cp_model.CpModel):
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__slots__: tuple[()] = ()
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def AddAllowedAssignments(self, variables: Iterable[Iterable], tuples_list: Iterable[Iterable]) -> tuple:
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# Used for variable names
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invocation: Final[str] = repr((variables, tuples_list))
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intermediate_variables, constraints = zip(*(self.NewIntermediateIntVar(variable, f'{invocation}: {variable}') for variable in variables))
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intermediate_variables, constraints = (lambda invocation : zip(*(self.NewIntermediateIntVar(variable, f'{invocation}: {variable}') for variable in variables)))(repr((variables, tuples_list)))
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super().AddAllowedAssignments(intermediate_variables, tuples_list)
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return constraints
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@ -108,13 +105,11 @@ Each parameter is interpreted as a BoundedLinearExpression, and a layer of indir
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if isinstance(expression, cp_model.IntVar) and (lambda domain : domain == [lb, ub] or domain[0] == domain[1])(cp_model.IntVar.Proto(expression).domain):
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return (expression, ())
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else:
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intermediate: Final[cp_model.IntVar] = super().NewIntVar(lb, ub, name)
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return (intermediate, self.Add(intermediate == expression))
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return (lambda intermediate : (intermediate, self.Add(intermediate == expression)))(super().NewIntVar(lb, ub, name))
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@NewIntermediateIntVar.register
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def _(self, expression: partialmethod, name: str, *, lb: Integral = cp_model.INT32_MIN, ub: Integral = cp_model.INT32_MAX) -> tuple:
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intermediate: Final[cp_model.IntVar] = super().NewIntVar(lb, ub, name)
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return (intermediate, expression.__get__(self)(intermediate))
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return (lambda intermediate : (intermediate, expression.__get__(self)(intermediate)))(super().NewIntVar(lb, ub, name))
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@NewIntermediateIntVar.register
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def _(self, expression: Integral, *args, **kwargs) -> tuple:
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