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Remove obsolete methods

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This commit is contained in:
Alinson S. Xavier
2021-04-13 09:42:25 -05:00
parent c26b852c67
commit c4a6665825
22 changed files with 93 additions and 499 deletions
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45
miplearn/solvers/internal.py
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@@ -124,10 +124,8 @@ class InternalSolver(ABC, EnforceOverrides):
"""
Sets the warm start to be used by the solver.
The solution should be a dictionary following the same format as the
one produced by `get_solution`. Only one warm start is supported.
Calling this function when a warm start already exists will
remove the previous warm start.
Only one warm start is supported. Calling this function when a warm start
already exists will remove the previous warm start.
"""
pass
@@ -154,11 +152,8 @@ class InternalSolver(ABC, EnforceOverrides):
@abstractmethod
def fix(self, solution: Solution) -> None:
"""
Fixes the values of a subset of decision variables.
The values should be provided in the dictionary format generated by
`get_solution`. Missing values in the solution indicate variables
that should be left free.
Fixes the values of a subset of decision variables. Missing values in the
solution indicate variables that should be left free.
"""
pass
@@ -170,9 +165,7 @@ class InternalSolver(ABC, EnforceOverrides):
with higher priority are picked first, given that they are fractional.
Ties are solved arbitrarily. By default, all variables have priority zero.
The priorities should be provided in the dictionary format generated by
`get_solution`. Missing values indicate variables whose priorities
should not be modified.
Missing values indicate variables whose priorities should not be modified.
"""
raise NotImplementedError()
@@ -216,34 +209,6 @@ class InternalSolver(ABC, EnforceOverrides):
"""
pass
@abstractmethod
def get_dual(self, cid: str) -> float:
"""
If the model is feasible and has been solved to optimality, returns the
optimal value of the dual variable associated with this constraint. If the
model is infeasible, returns a portion of the infeasibility certificate
corresponding to the given constraint.
Only available for relaxed problems. Must be called after solve.
"""
pass
@abstractmethod
def get_sense(self) -> str:
"""
Returns the sense of the problem (either "min" or "max").
"""
pass
@abstractmethod
def get_variable_names(self) -> List[VariableName]:
"""
Returns a list containing the names of all variables in the model. This
method is used by the ML components to query what variables are there in the
model before a solution is available.
"""
pass
@abstractmethod
def clone(self) -> "InternalSolver":
"""