simple_sim

This module contains an example function that evaluates one point of any dimension >=1

simple_sim.norm_eval(H, persis_info, sim_specs, _)

Input Fields: ['x']

Output Datatypes: [('f', <class 'float'>)]

Evaluates the vector norm for a single point x.

See also

test_2d_sampling.py

simple_sim.py
 1"""
 2This module contains an example function that evaluates one point of any dimension >=1
 3"""
 4
 5__all__ = ["norm_eval"]
 6
 7import numpy as np
 8
 9from libensemble.specs import input_fields, output_data
10
11
12@input_fields(["x"])
13@output_data([("f", float)])
14def norm_eval(H, persis_info, sim_specs, _):
15    """
16    Evaluates the vector norm for a single point ``x``.
17
18    .. seealso::
19        `test_2d_sampling.py <https://github.com/Libensemble/libensemble/blob/develop/libensemble/tests/regression_tests/test_2d_sampling.py>`_ # noqa
20    """
21    x = H["x"]
22    H_o = np.zeros(1, dtype=sim_specs["out"])
23    H_o["f"] = np.linalg.norm(x)
24    return H_o, persis_info