def test2_find_optimum_list(self):
tracks = [{
"length": 1.0,
"height": 2
}, {
"length": 0.9,
"height": 1.6
}, {
"length": 0.1,
"height": 2.9
}, {
"length": 1.0,
"height": 2.2
}, {
"length": 2.0,
"height": 3.2
}]
path = {"length": 1.5, "height": 3}
threshold = 3
opt_list = combining_routes.find_optimum_list([], threshold, tracks,
path)
print(opt_list)
expected_opt_list = [{
"length": 1.5,
"height": 3
}, {
"length": 1.0,
"height": 2
}, {
"length": 0.5,
"height": 1.6
}]
for count, track in enumerate(expected_opt_list):
self.assertAlmostEqual(track["length"], opt_list[count]["length"])
self.assertAlmostEqual(track["height"], opt_list[count]["height"])
def test12_find_optimum_list(self):
tracks = [{
'length': 0.0015818624519766198,
'height': 0.26080389330262954
}, {
'length': 0.0023895863196095133,
'height': 0.26350772901313507
}, {
'length': 0.001919040275049572,
'height': 0.26721284616747887
}, {
'length': 0.00063398722027372106,
'height': 0.27249704751316284
}, {
'length': 0.00090645013618520249,
'height': 0.26845843688159043
}, {
'length': 0.001713917479763888,
'height': 0.26945861543539862
}, {
'length': 0.00034247804054427997,
'height': 0.27422459923821024
}]
path = {'length': 0.0029284872016562035, 'height': 0.26906053606224278}
threshold = 0.0094873219234
opt_route = combining_routes.find_optimum_list([], threshold, tracks,
path)
def test5_find_optimum_list(self):
tracks = []
path = {"length": 1.5, "height": 1}
threshold = 1
old_opt_list = [{"length": 2, "height": 0.5}]
opt_list = combining_routes.find_optimum_list(old_opt_list, threshold,
tracks, path)
print(opt_list)
expected_opt_list = [{
"length": 2,
"height": 0.5
}, {
"length": 1,
"height": 1
}]
for count, track in enumerate(expected_opt_list):
self.assertAlmostEqual(track["length"], opt_list[count]["length"])
self.assertAlmostEqual(track["height"], opt_list[count]["height"])
def test10_find_optimum_list(self):
threshold = 0.01
tracks = [{
'length': 0.00084789403180791879,
'height': 0.23448309516230831
}, {
'length': 0.0012285759186611484,
'height': 0.23324036207975657
}, {
'length': 0.0019266030665390258,
'height': 0.2330327242277965
}, {
'length': 9.4296078588858301e-05,
'height': 0.23492283715174436
}, {
'length': 0.00031277006708566989,
'height': 0.22411516857094832
}, {
'length': 4.1058012621537562e-06,
'height': 0.22339328159307462
}, {
'length': 0.0013797741130892873,
'height': 0.22788296716113143
}, {
'length': 0.0028259705331712612,
'height': 0.22378119371125113
}, {
'length': 0.00052765220697655046,
'height': 0.22003631481562122
}, {
'length': 0.00077062538463392935,
'height': 0.21754966007241372
}, {
'length': 8.1732798184196848e-05,
'height': 0.21573718945302311
}]
path = {
'length': 0.00084789403180791879,
'height': 0.23448309516230831
}
opt_route = combining_routes.find_optimum_list([], threshold, tracks,
path)
def test11_find_optimum_list(self):
tracks = [{
'length': 0.00025062494574424579,
'height': 0.5298658136278781
}, {
'length': 0.0014941893570154375,
'height': 0.53781981860961281
}, {
'length': 0.00061166176929072107,
'height': 0.50414035305944505
}, {
'length': 0.002477240484939346,
'height': 0.51011589430167237
}, {
'length': 0.0028098073709598445,
'height': 0.5250412056705448
}]
path = {'length': 0.002477240484939346, 'height': 0.51011589430167237}
threshold = 0.00764352392795
opt_route = combining_routes.find_optimum_list([], threshold, tracks,
path)
def test6_find_optimum_list(self):
tracks = [{
"length": 1.0,
"height": 3
}, {
"length": 0.9,
"height": 2.6
}, {
"length": 0.1,
"height": 1.0
}, {
"length": 0.5,
"height": 2.2
}, {
"length": 2.0,
"height": 3.2
}]
path = {"length": 1.5, "height": 2.5}
threshold = 4.0
old_opt_list = []
opt_list = combining_routes.find_optimum_list(old_opt_list, threshold,
tracks, path)
print(opt_list)
expected_opt_list = [{
"length": 1,
"height": 3
}, {
"length": 0.9,
"height": 2.6
}, {
"length": 0.6 + 0.3 / 0.7,
"height": 2.5
}, {
"length": 1.07142857,
"height": 3.2
}]
for count, track in enumerate(expected_opt_list):
self.assertAlmostEqual(track["length"], opt_list[count]["length"])
self.assertAlmostEqual(track["height"], opt_list[count]["height"])
def test9_find_optimum_list(self):
tracks = [{
'length': 0.0019061394364962218,
'height': -0.22304613608628371
}, {
'length': 0.0012805974611376069,
'height': -0.17942790734837177
}, {
'length': 0.0035474194392551869,
'height': -0.16684866975505908
}, {
'length': 0.0026727699269563964,
'height': -0.15141268570475561
}, {
'length': 0.00059307373615458819,
'height': -0.16761378492166606
}]
path = {
'length': 0.0045014719163532944,
'height': -0.19081592394007982
}
threshold = 0.01
opt_route = combining_routes.find_optimum_list([], threshold, tracks,
path)