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utils.py
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utils.py
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from typing import Any
import autograd.numpy as np
import pickle
from f3dasm.base.data import Data
from ..base.design import DesignSpace
from ..base.space import ContinuousParameter
def make_nd_continuous_design(bounds: np.ndarray, dimensionality: int):
input_space, output_space = [], []
for dim in range(dimensionality):
input_space.append(ContinuousParameter(name=f"x{dim}", lower_bound=bounds[dim, 0], upper_bound=bounds[dim, 1]))
output_space.append(ContinuousParameter(name="y"))
return DesignSpace(input_space=input_space, output_space=output_space)
def _from_data_to_numpy_array_benchmarkfunction(
data: Data,
) -> np.ndarray:
"""Check if doe is in right format"""
if not data.design.is_single_objective_continuous():
raise TypeError("All inputs and outputs need to be continuous parameters and output single objective")
return data.get_input_data().to_numpy()
def _scale_vector(x: np.ndarray, scale: np.ndarray) -> np.ndarray:
"""Scale a vector x to a given scale"""
return (scale[:, 1] - scale[:, 0]) * x + scale[:, 0]
def _descale_vector(x: np.ndarray, scale: np.ndarray) -> np.ndarray:
"""Inverse of the _scale_vector() function"""
return (x - scale[:, 0]) / (scale[:, 1] - scale[:, 0])
def _rotate_vector(x: np.ndarray, rotation_matrix: np.ndarray) -> np.ndarray:
"""Rotate a vector with a matrix"""
return x.dot(rotation_matrix)
def find_class(module, query: str):
return getattr(module, query)
def read_pickle(name: str) -> Any:
"""read an pickled object to memory
Args:
name (str): name of file without file extension .obj
Returns:
Any: object
"""
with open(f"{name}.obj", "rb") as f:
obj = pickle.load(f)
return obj
def write_pickle(name: str, obj: Any) -> None:
"""Write an object to a file with pickle
Args:
name (str): name of file to write without file extension .obj
obj (Any): object to store
"""
with open(f"{name}.obj", "wb") as f:
pickle.dump(obj, f)