structure saas with tools
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# Tests of support for Numpy ndarrays. See
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# https://github.com/sgillies/shapely/issues/26 for discussion.
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import unittest
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from functools import reduce
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import numpy as np
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from shapely import geometry
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class TransposeTestCase(unittest.TestCase):
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def test_multipoint(self):
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arr = np.array([[1.0, 1.0, 2.0, 2.0, 1.0], [3.0, 4.0, 4.0, 3.0, 3.0]])
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tarr = arr.T
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shape = geometry.MultiPoint(tarr)
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coords = reduce(lambda x, y: x + y, [list(g.coords) for g in shape.geoms])
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assert coords == [(1.0, 3.0), (1.0, 4.0), (2.0, 4.0), (2.0, 3.0), (1.0, 3.0)]
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def test_linestring(self):
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a = np.array([[1.0, 1.0, 2.0, 2.0, 1.0], [3.0, 4.0, 4.0, 3.0, 3.0]])
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t = a.T
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s = geometry.LineString(t)
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assert list(s.coords) == [
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(1.0, 3.0),
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(1.0, 4.0),
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(2.0, 4.0),
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(2.0, 3.0),
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(1.0, 3.0),
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]
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def test_polygon(self):
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a = np.array([[1.0, 1.0, 2.0, 2.0, 1.0], [3.0, 4.0, 4.0, 3.0, 3.0]])
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t = a.T
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s = geometry.Polygon(t)
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assert list(s.exterior.coords) == [
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(1.0, 3.0),
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(1.0, 4.0),
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(2.0, 4.0),
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(2.0, 3.0),
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(1.0, 3.0),
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]
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