You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
100 lines
2.4 KiB
100 lines
2.4 KiB
# MIPLearn: Extensible Framework for Learning-Enhanced Mixed-Integer Optimization
|
|
# Copyright (C) 2020, UChicago Argonne, LLC. All rights reserved.
|
|
# Released under the modified BSD license. See COPYING.md for more details.
|
|
from unittest.mock import Mock
|
|
|
|
from miplearn.components.component import Component
|
|
from miplearn.instance import Instance
|
|
|
|
|
|
def test_xy_instance():
|
|
def _sample_xy(features, sample):
|
|
x = {
|
|
"s1": {
|
|
"category_a": [
|
|
[1, 2, 3],
|
|
[3, 4, 6],
|
|
],
|
|
"category_b": [
|
|
[7, 8, 9],
|
|
],
|
|
},
|
|
"s2": {
|
|
"category_a": [
|
|
[0, 0, 0],
|
|
[0, 5, 3],
|
|
[2, 2, 0],
|
|
],
|
|
"category_c": [
|
|
[0, 0, 0],
|
|
[0, 0, 1],
|
|
],
|
|
},
|
|
"s3": {
|
|
"category_c": [
|
|
[1, 1, 1],
|
|
],
|
|
},
|
|
}
|
|
y = {
|
|
"s1": {
|
|
"category_a": [[1], [2]],
|
|
"category_b": [[3]],
|
|
},
|
|
"s2": {
|
|
"category_a": [[4], [5], [6]],
|
|
"category_c": [[8], [9], [10]],
|
|
},
|
|
"s3": {
|
|
"category_c": [[11]],
|
|
},
|
|
}
|
|
return x[sample], y[sample]
|
|
|
|
comp = Component()
|
|
instance_1 = Mock(spec=Instance)
|
|
instance_1.training_data = ["s1", "s2"]
|
|
instance_1.features = {}
|
|
instance_2 = Mock(spec=Instance)
|
|
instance_2.training_data = ["s3"]
|
|
instance_2.features = {}
|
|
comp.sample_xy = _sample_xy
|
|
x_expected = {
|
|
"category_a": [
|
|
[1, 2, 3],
|
|
[3, 4, 6],
|
|
[0, 0, 0],
|
|
[0, 5, 3],
|
|
[2, 2, 0],
|
|
],
|
|
"category_b": [
|
|
[7, 8, 9],
|
|
],
|
|
"category_c": [
|
|
[0, 0, 0],
|
|
[0, 0, 1],
|
|
[1, 1, 1],
|
|
],
|
|
}
|
|
y_expected = {
|
|
"category_a": [
|
|
[1],
|
|
[2],
|
|
[4],
|
|
[5],
|
|
[6],
|
|
],
|
|
"category_b": [
|
|
[3],
|
|
],
|
|
"category_c": [
|
|
[8],
|
|
[9],
|
|
[10],
|
|
[11],
|
|
],
|
|
}
|
|
x_actual, y_actual = comp.xy_instances([instance_1, instance_2])
|
|
assert x_actual == x_expected
|
|
assert y_actual == y_expected
|