You can not select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
MIPLearn/miplearn/instance/picklegz.py

152 lines
4.6 KiB

# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
# Copyright (C) 2020-2021, UChicago Argonne, LLC. All rights reserved.
# Released under the modified BSD license. See COPYING.md for more details.
import gc
import gzip
import os
import pickle
from typing import Optional, Any, List, Hashable, cast, IO, TYPE_CHECKING
from overrides import overrides
from miplearn.instance.base import logger, Instance
from miplearn.types import VariableName, Category
if TYPE_CHECKING:
from miplearn.solvers.learning import InternalSolver
class PickleGzInstance(Instance):
"""
An instance backed by a gzipped pickle file.
The instance is only loaded to memory after an operation is called (for example,
`to_model`).
Parameters
----------
filename: str
Path of the gzipped pickle file that should be loaded.
"""
# noinspection PyMissingConstructor
def __init__(self, filename: str) -> None:
assert os.path.exists(filename), f"File not found: {filename}"
self.instance: Optional[Instance] = None
self.filename: str = filename
@overrides
def to_model(self) -> Any:
assert self.instance is not None
return self.instance.to_model()
@overrides
def get_instance_features(self) -> List[float]:
assert self.instance is not None
return self.instance.get_instance_features()
@overrides
def get_variable_features(self, var_name: VariableName) -> List[float]:
assert self.instance is not None
return self.instance.get_variable_features(var_name)
@overrides
def get_variable_category(self, var_name: VariableName) -> Optional[Category]:
assert self.instance is not None
return self.instance.get_variable_category(var_name)
@overrides
def get_constraint_features(self, cid: str) -> Optional[List[float]]:
assert self.instance is not None
return self.instance.get_constraint_features(cid)
@overrides
def get_constraint_category(self, cid: str) -> Optional[Hashable]:
assert self.instance is not None
return self.instance.get_constraint_category(cid)
@overrides
def has_static_lazy_constraints(self) -> bool:
assert self.instance is not None
return self.instance.has_static_lazy_constraints()
@overrides
def has_dynamic_lazy_constraints(self) -> bool:
assert self.instance is not None
return self.instance.has_dynamic_lazy_constraints()
@overrides
def is_constraint_lazy(self, cid: str) -> bool:
assert self.instance is not None
return self.instance.is_constraint_lazy(cid)
@overrides
def find_violated_lazy_constraints(
self,
solver: "InternalSolver",
model: Any,
) -> List[Hashable]:
assert self.instance is not None
return self.instance.find_violated_lazy_constraints(solver, model)
@overrides
def enforce_lazy_constraint(
self,
solver: "InternalSolver",
model: Any,
violation: Hashable,
) -> None:
assert self.instance is not None
self.instance.enforce_lazy_constraint(solver, model, violation)
@overrides
def find_violated_user_cuts(self, model: Any) -> List[Hashable]:
assert self.instance is not None
return self.instance.find_violated_user_cuts(model)
@overrides
def enforce_user_cut(
self,
solver: "InternalSolver",
model: Any,
violation: Hashable,
) -> None:
assert self.instance is not None
self.instance.enforce_user_cut(solver, model, violation)
@overrides
def load(self) -> None:
if self.instance is None:
obj = read_pickle_gz(self.filename)
assert isinstance(obj, Instance)
self.instance = obj
self.samples = self.instance.samples
@overrides
def free(self) -> None:
self.instance = None # type: ignore
gc.collect()
@overrides
def flush(self) -> None:
write_pickle_gz(self.instance, self.filename)
def write_pickle_gz(obj: Any, filename: str) -> None:
logger.info(f"Writing: {filename}")
os.makedirs(os.path.dirname(filename), exist_ok=True)
with gzip.GzipFile(filename, "wb") as file:
pickle.dump(obj, cast(IO[bytes], file))
def read_pickle_gz(filename: str) -> Any:
logger.info(f"Reading: {filename}")
with gzip.GzipFile(filename, "rb") as file:
return pickle.load(cast(IO[bytes], file))
def write_pickle_gz_multiple(objs: List[Any], dirname: str) -> None:
for (i, obj) in enumerate(objs):
write_pickle_gz(obj, f"{dirname}/{i:05d}.pkl.gz")