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import unittest
import numpy as np
import pytest
from shapely.geometry import MultiPolygon, Point, box
@pytest.mark.filterwarnings("ignore:The 'shapely.vectorized:")
class VectorizedContainsTestCase(unittest.TestCase):
def assertContainsResults(self, geom, x, y):
from shapely.vectorized import contains
result = contains(geom, x, y)
x = np.asanyarray(x)
y = np.asanyarray(y)
self.assertIsInstance(result, np.ndarray)
self.assertEqual(result.dtype, bool)
result_flat = result.flat
x_flat, y_flat = x.flat, y.flat
# Do the equivalent operation, only slowly, comparing the result
# as we go.
for idx in range(x.size):
assert result_flat[idx] == geom.contains(Point(x_flat[idx], y_flat[idx]))
return result
def construct_torus(self):
point = Point(0, 0)
return point.buffer(5).symmetric_difference(point.buffer(2.5))
def test_contains_poly(self):
y, x = np.mgrid[-10:10:5j], np.mgrid[-5:15:5j]
self.assertContainsResults(self.construct_torus(), x, y)
def test_contains_point(self):
y, x = np.mgrid[-10:10:5j], np.mgrid[-5:15:5j]
self.assertContainsResults(Point(x[0], y[0]), x, y)
def test_contains_linestring(self):
y, x = np.mgrid[-10:10:5j], np.mgrid[-5:15:5j]
self.assertContainsResults(Point(x[0], y[0]), x, y)
def test_contains_multipoly(self):
y, x = np.mgrid[-10:10:5j], np.mgrid[-5:15:5j]
# Construct a geometry of the torus cut in half vertically.
cut_poly = box(-1, -10, -2.5, 10)
geom = self.construct_torus().difference(cut_poly)
assert isinstance(geom, MultiPolygon)
self.assertContainsResults(geom, x, y)
def test_y_array_order(self):
y, x = np.mgrid[-10:10:5j, -5:15:5j]
y = y.copy("f")
self.assertContainsResults(self.construct_torus(), x, y)
def test_x_array_order(self):
y, x = np.mgrid[-10:10:5j, -5:15:5j]
x = x.copy("f")
self.assertContainsResults(self.construct_torus(), x, y)
def test_xy_array_order(self):
y, x = np.mgrid[-10:10:5j, -5:15:5j]
x = x.copy("f")
y = y.copy("f")
result = self.assertContainsResults(self.construct_torus(), x, y)
# Preserve the order
assert result.flags["F_CONTIGUOUS"]
def test_array_dtype(self):
y, x = np.mgrid[-10:10:5j], np.mgrid[-5:15:5j]
x = x.astype(np.int16)
self.assertContainsResults(self.construct_torus(), x, y)
def test_array_2d(self):
y, x = np.mgrid[-10:10:15j, -5:15:16j]
result = self.assertContainsResults(self.construct_torus(), x, y)
assert result.shape == x.shape
def test_shapely_xy_attr_contains(self):
g = Point(0, 0).buffer(10.0)
self.assertContainsResults(self.construct_torus(), *g.exterior.xy)
@pytest.mark.filterwarnings("ignore:The 'shapely.vectorized:")
class VectorizedTouchesTestCase(unittest.TestCase):
def test_touches(self):
from shapely.vectorized import touches
y, x = np.mgrid[-2:3:6j, -1:3:5j]
geom = box(0, -1, 2, 2)
result = touches(geom, x, y)
expected = np.array(
[
[False, False, False, False, False],
[False, True, True, True, False],
[False, True, False, True, False],
[False, True, False, True, False],
[False, True, True, True, False],
[False, False, False, False, False],
],
dtype=bool,
)
from numpy.testing import assert_array_equal
assert_array_equal(result, expected)
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