def test_set_operation_reduce_1dim(n, func, related_func):
actual = func(reduce_test_data[:n])
# perform the reduction in a python loop and compare
expected = reduce_test_data[0]
for i in range(1, n):
expected = related_func(expected, reduce_test_data[i])
assert shapely.equals(actual, expected)
def test_set_operation_prec_array(a, func, grid_size):
actual = func([a, a], point, grid_size=grid_size)
assert actual.shape == (2, )
assert isinstance(actual[0], Geometry)
# results should match the operation when the precision is previously set
# to same grid_size
b = shapely.set_precision(a, grid_size=grid_size)
point2 = shapely.set_precision(point, grid_size=grid_size)
expected = func([b, b], point2)
assert shapely.equals(shapely.normalize(actual),
shapely.normalize(expected)).all()
def equals(self, other):
"""Returns True if geometries are equal, else False.
This method considers point-set equality (or topological
equality), and is equivalent to (self.within(other) &
self.contains(other)).
Examples
--------
>>> LineString(
... [(0, 0), (2, 2)]
... ).equals(
... LineString([(0, 0), (1, 1), (2, 2)])
... )
True
Returns
-------
bool
"""
return bool(shapely.equals(self, other))
def test_minimum_rotated_rectangle(geometry, expected):
actual = shapely.minimum_rotated_rectangle(geometry)
assert shapely.equals(actual, expected).all()
def test_oriented_envelope(geometry, expected):
actual = shapely.oriented_envelope(geometry)
assert shapely.equals(actual, expected).all()
def test_shortest_line(prepare):
g1 = shapely.linestrings([(0, 0), (1, 0), (1, 1)])
g2 = shapely.linestrings([(0, 3), (3, 0)])
actual = shapely.shortest_line(_prepare_input(g1, prepare), g2)
expected = shapely.linestrings([(1, 1), (1.5, 1.5)])
assert shapely.equals(actual, expected)
def test_union_all_prec(geom, grid_size, expected):
actual = shapely.union_all(geom, grid_size=grid_size)
assert shapely.equals(actual, expected)
