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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""Fixtures for tests
isort:skip_file
"""
# Import standard library
import os
# Import modules
import matplotlib as mpl
import numpy as np
import pytest
if os.environ.get("DISPLAY", "") == "":
mpl.use("Agg")
# Import from pyswarms
from pyswarms.single import GlobalBestPSO
from pyswarms.utils.functions.single_obj import sphere
from pyswarms.utils.plotters.formatters import Mesher
@pytest.fixture
def trained_optimizer():
"""Returns a trained optimizer instance with 100 iterations"""
options = {"c1": 0.5, "c2": 0.3, "w": 0.9}
optimizer = GlobalBestPSO(n_particles=10, dimensions=2, options=options)
optimizer.optimize(sphere, iters=100)
return optimizer
@pytest.fixture
def pos_history():
"""Returns a list containing a swarms' position history"""
return np.random.uniform(size=(10, 5, 2))
@pytest.fixture
def mesher():
"""A Mesher instance with sphere function and delta=0.1"""
return Mesher(func=sphere, delta=0.1)
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