r"""
Base class for all generators in the ML4CO kit.
"""
# Copyright (c) 2024 Thinklab@SJTU
# ML4CO-Kit is licensed under Mulan PSL v2.
# You can use this software according to the terms and conditions of the Mulan PSL v2.
# You may obtain a copy of Mulan PSL v2 at:
# http://license.coscl.org.cn/MulanPSL2
# THIS SOFTWARE IS PROVIDED ON AN "AS IS" BASIS, WITHOUT WARRANTIES OF ANY KIND,
# EITHER EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO NON-INFRINGEMENT,
# MERCHANTABILITY OR FIT FOR A PARTICULAR PURPOSE.
# See the Mulan PSL v2 for more details.
import numpy as np
from typing import Union, Any
from ml4co_kit.task.base import TaskBase, TASK_TYPE
[docs]class GeneratorBase(object):
"""Base class for all generators."""
def __init__(
self,
task_type: TASK_TYPE,
distribution_type: Any,
precision: Union[np.float32, np.float64] = np.float32,
):
self.task_type = task_type
self.distribution_type = distribution_type
self.precision = precision
self.generate_func_dict: dict = None
[docs] def generate(self) -> TaskBase:
if self.distribution_type not in self.generate_func_dict:
raise NotImplementedError(
f"The distribution type {self.distribution_type} is not supported."
)
else:
return self.generate_func_dict[self.distribution_type]()
def __repr__(self) -> str:
return f"{self.task_type.value}Generator"