"""
---
Copyright (c) 2018 Baskar Ganapathysubramanian, Balaji Sesha Sarath Pokuri
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.
---
"""
## --- end license text --- ##
from typing import Callable, List, Tuple
import numpy as np
from . import async_local
from . import async
from . import async_parse_result_local
from . import async_sbatch
from . import connection
from .async_local import AsyncLocalEvaluator
try:
from .async_sbatch import AsyncSbatchEvaluator
except ImportError:
AsyncSbatchEvaluator = None
[docs]class FunctionEvaluator:
"""
The simplest function evaluator - evaluates a Python function for each point.
:param func: cost function to evaluate at each x
"""
def __init__(self, func: Callable[[np.array], float]):
self.evaluate = func
def __call__(self, xs: List[np.array], if_ready_xs: List[np.array] = list()):
return self.evaluate_population(xs, if_ready_xs)
[docs] def evaluate_population(self, xs: List[np.array], old_xs: List[np.array] = list()) \
-> Tuple[List[Tuple[np.array, float]], List[np.array], List[np.array]]:
xs += old_xs
return [(x, self.evaluate(x)) for x in xs], [], []