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test_options.py
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import pytest
import numpy as np
import rdp_rust
from rdp import rdp
def test_two():
arr = np.array([[1.0, 1.0], [5.0, 5.0]])
res_rs = rdp_rust.reduce_points(arr, 0.1)
res_py = rdp(arr, 0.1)
assert res_rs.shape == res_py.shape
np.testing.assert_almost_equal(res_rs, res_py)
def test_basic():
arr = np.array([5.0, 0, 4, 0, 3, 0, 3, 1, 3, 2]).reshape(5, 2)
res_rs = rdp_rust.reduce_points(arr, 0.1)
res_py = rdp(arr, 0.1)
assert res_rs.shape == res_py.shape
np.testing.assert_almost_equal(res_rs, res_py)
def test_basic_mask():
arr = np.array([5.0, 0, 4, 0, 3, 0, 3, 1, 3, 2]).reshape(5, 2)
res_rs = rdp_rust.mask_points(arr, 0.1)
res_py = rdp(arr, 0.1, return_mask=True)
assert res_rs.shape == res_py.shape
np.testing.assert_almost_equal(res_rs, res_py)
small_arr = np.array([5.0, 0, 4, 0, 3, 0, 3, 1, 3, 2]).reshape(5, 2)
small_expected = np.array([5.0, 0, 3, 0, 3, 2.0]).reshape(3, 2)
small_epsilon = 0.1
def test_small_line():
for epsilon in np.arange(0.1, 30.0, 0.1):
result_py = rdp(small_arr, epsilon)
result_rust = rdp_rust.reduce_points(small_arr, epsilon)
assert result_py.shape == result_rust.shape, f"epsilon: {epsilon}"
np.testing.assert_almost_equal(result_py, result_rust)
@pytest.mark.benchmark(group="small-points", warmup=True)
def test_rust_version(benchmark):
actual = benchmark(rdp_rust.reduce_points, small_arr, small_epsilon)
assert actual.shape == small_expected.shape
np.testing.assert_almost_equal(actual, small_expected)
@pytest.mark.benchmark(group="small-points", warmup=True)
def test_py_version(benchmark):
actual = benchmark(rdp, small_arr, small_epsilon)
assert actual.shape == small_expected.shape
np.testing.assert_almost_equal(actual, small_expected)
def test_medium_line():
for epsilon in np.linspace(0.9, 0.005, 50):
result_py = rdp(medium_arr, epsilon)
result_rust = rdp_rust.reduce_points(medium_arr, epsilon)
assert result_py.shape == result_rust.shape, f"epsilon: {epsilon}"
np.testing.assert_almost_equal(result_py, result_rust)
@pytest.mark.benchmark(group="medium-points", warmup=True)
def test_rust_version(benchmark):
actual = benchmark(rdp_rust.reduce_points, medium_arr, medium_epsilon)
assert actual.shape == medium_expected.shape
np.testing.assert_almost_equal(actual, medium_expected)
@pytest.mark.benchmark(group="medium-points", warmup=True)
def test_py_version(benchmark):
actual = benchmark(rdp, medium_arr, medium_epsilon)
assert actual.shape == medium_expected.shape
np.testing.assert_almost_equal(actual, medium_expected)
medium_arr = np.array(
[
18.71120367913943,
35.67559590537299,
19.87575446038943,
37.21327118250812,
20.33718024163943,
37.19577035281653,
21.23805914788943,
37.0556176917564,
21.41384039788943,
36.6512354470846,
21.67751227288943,
36.580689928979275,
22.00710211663943,
36.633605119022356,
22.05104742913943,
36.26243735259619,
22.31471930413943,
36.52773844590173,
22.64430914788943,
36.085067452949716,
23.03981696038943,
36.28015225239681,
23.23757086663943,
35.8716942147415,
23.76491461663943,
36.067308390223566,
23.80885992913943,
35.67559590537299,
24.27028571038943,
35.76479144718892,
24.53395758538943,
35.35366637248113,
25.23708258538943,
35.960669831102834,
23.89675055413943,
37.31819090754369,
22.13893805413943,
37.87528917447911,
20.97438727288943,
38.41099084386128,
18.90895758538943,
37.87528917447911,
17.94216071038943,
37.03808036667257,
17.21706305413943,
35.44322069725778,
17.61257086663943,
33.88911578982415,
19.37038336663943,
34.18045430429265,
20.09548102288943,
35.47901456666836,
21.04030524163943,
36.13832057287443,
21.61159430413943,
35.746960327835474,
21.61159430413943,
35.31781680026504,
22.13893805413943,
35.639889738821545,
22.13893805413943,
35.21017271507273,
22.75417242913943,
35.44322069725778,
22.75417242913943,
35.01245420877086,
23.39137946038943,
35.28195132861475,
23.43532477288943,
34.814256575733275,
24.00661383538943,
35.10238572512127,
24.07253180413943,
34.705947263853155,
]
).reshape(-1, 2)
medium_expected = np.array(
[
[18.71120368, 35.67559591],
[19.87575446, 37.21327118],
[21.23805915, 37.05561769],
[21.4138404, 36.65123545],
[22.00710212, 36.63360512],
[22.05104743, 36.26243735],
[22.3147193, 36.52773845],
[22.64430915, 36.08506745],
[23.03981696, 36.28015225],
[23.23757087, 35.87169421],
[23.76491462, 36.06730839],
[23.80885993, 35.67559591],
[24.27028571, 35.76479145],
[24.53395759, 35.35366637],
[25.23708259, 35.96066983],
[23.89675055, 37.31819091],
[20.97438727, 38.41099084],
[18.90895759, 37.87528917],
[17.94216071, 37.03808037],
[17.21706305, 35.4432207],
[17.61257087, 33.88911579],
[19.37038337, 34.1804543],
[20.09548102, 35.47901457],
[21.04030524, 36.13832057],
[21.6115943, 35.74696033],
[21.6115943, 35.3178168],
[22.13893805, 35.63988974],
[22.13893805, 35.21017272],
[22.75417243, 35.4432207],
[22.75417243, 35.01245421],
[23.39137946, 35.28195133],
[23.43532477, 34.81425658],
[24.00661384, 35.10238573],
[24.0725318, 34.70594726],
]
)
medium_epsilon = 0.1