import numpy as np
from .basegenerator import BaseGenerator
from ...plams.core.settings import Settings
__all__ = ("RandomGenerator",)
[docs]class RandomGenerator(BaseGenerator):
"""Generates random points.
Points are drawn from a uniform distribution within given ``bounds``.
"""
def __amssettings__(self, s: Settings) -> Settings:
s.input.ams.Generator.Type = "Random"
return s
def generate(self, manager: "GloMPOManager") -> np.ndarray:
bounds = np.array(manager.bounds)
n_parms = manager.n_parms
calc = (bounds[:, 1] - bounds[:, 0]) * np.random.random(n_parms) + bounds[:, 0]
return calc
