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"""
# -*- coding: utf-8 -*-
#
# Copyright 2021 Michael Büsch <m@bues.ch>
#
# Licensed under the Apache License version 2.0
# or the MIT license, at your option.
# SPDX-License-Identifier: Apache-2.0 OR MIT
#
"""
from mlplib.batch import *
import numpy as np
def test_minibatches():
x = np.array([[1, 2],
[3, 4],
[5, 6],
[7, 8],
[9, 10]])
y = np.array([[10, 20],
[30, 40],
[50, 60],
[70, 80],
[90, 100]])
m = list(minibatches(x, y, 2))
assert np.all(m[0][0] == np.array([[1, 2], [3, 4]]))
assert np.all(m[1][0] == np.array([[5, 6], [7, 8]]))
assert np.all(m[2][0] == np.array([[9, 10]]))
assert np.all(m[0][1] == np.array([[10, 20], [30, 40]]))
assert np.all(m[1][1] == np.array([[50, 60], [70, 80]]))
assert np.all(m[2][1] == np.array([[90, 100]]))
def test_proportion_equal():
a = np.array([[1, 2, 3], [4, 5, 6]])
b = np.array([[1.1, 2, 3.3], [4, -5, 6]])
p = proportion_equal(a, b)
assert p == 0.5
def test_array_to_boolint():
a = array_to_boolint(np.array([[0.0, 0.1, -0.1, 0.74, 0.75, 0.76, 0.9, 1.0],
[0.9, 0.5, 0.7, 0.6, 0.5, 0.4, 0.8, 0.1]]))
assert np.all(a == np.array([[0, 0, 0, 0, 1, 1, 1, 1],
[1, 0, 0, 0, 0, 0, 1, 0]]))
def test_collapse_bool_nodes():
a = collapse_bool_nodes(np.array([[0.9, 0.1, 0.1],
[0.1, 0.9, 0.1],
[0.1, 0.1, 0.9],
[0.9, 0.9, 0.9]]))
assert np.all(a == np.array([1, 2, 4, 7]))
# vim: ts=4 sw=4 expandtab
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