mirror of
https://github.com/wassname/scikit-image.git
synced 2026-06-30 04:19:36 +08:00
added draw.polygon function with test cases
This commit is contained in:
+93
-6
@@ -1,16 +1,18 @@
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import numpy as np
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import math
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from libc.stdlib cimport malloc, free
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cimport numpy as np
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cimport cython
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cdef extern from "math.h":
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int abs(int i)
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cdef extern from "../morphology/_pnpoly.h":
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int pnpoly(int nr_verts, double *xp, double *yp,
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double x, double y)
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@cython.boundscheck(False)
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@cython.wraparound(False)
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def bresenham(int y, int x, int y2, int x2):
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"""
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Generate line pixel coordinates.
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"""Generate line pixel coordinates.
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Parameters
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----------
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y, x : int
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@@ -46,7 +48,7 @@ def bresenham(int y, int x, int y2, int x2):
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rr = np.zeros(int(dx) + 1, dtype=np.int32)
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cc = np.zeros(int(dx) + 1, dtype=np.int32)
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for i in range(dx):
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if steep:
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rr[i] = x
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@@ -64,3 +66,88 @@ def bresenham(int y, int x, int y2, int x2):
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cc[dx] = x2
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return rr, cc
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@cython.boundscheck(False)
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@cython.wraparound(False)
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def _polygon_area(np.ndarray[np.double_t, ndim=1] x, np.ndarray[np.double_t, ndim=1] y):
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"""Calculate area of polygon.
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Parameters
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----------
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x : ndarray
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X coordinates of polygon
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y : ndarray
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Y coordinates of polygon
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Returns
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-------
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area : double
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area of polygon
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"""
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cdef double area
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cdef int i
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cdef int j = x.shape[0]-1
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for i in xrange(x.shape[0]):
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area += (x[j]+x[i])*(y[j]-y[i])
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j = i
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return abs(0.5*area)
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@cython.boundscheck(False)
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@cython.wraparound(False)
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def polygon(verts, shape=None):
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"""Generate coordinates of pixels within polygon.
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Parameters
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----------
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verts : Nx2 ndarray
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(row, col) coordinates
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shape : tuple, optional
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image shape which is used to determine maximum extents of output pixel
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coordinates. This is useful for polygons which exceed the image size,
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default None
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Returns
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-------
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rr, cc : ndarray of int
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Pixel coordinates of polygon.
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May be used to directly index into an array, e.g.
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``img[rr, cc] = 1``.
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"""
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cdef int nr_verts = verts.shape[0]
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cdef int minr = <int>max(0, verts[:,0].min())
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cdef int maxr = <int>math.ceil(verts[:,0].max())
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cdef int minc = <int>max(0, verts[:,1].min())
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cdef int maxc = <int>math.ceil(verts[:,1].max())
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# make sure output coordinates do not exceed image size
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if shape is not None:
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maxr = min(shape[0]-1, maxr)
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maxc = min(shape[1]-1, maxc)
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cdef int r, c
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cdef int i = 0
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#: make contigous arrays for r, c coordinates
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verts = verts.astype('double')
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cdef np.ndarray contiguous_rdata = verts[:,0].copy(order='C')
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cdef np.ndarray contiguous_cdata = verts[:,1].copy(order='C')
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cdef np.double_t* rptr = <np.double_t*>contiguous_rdata.data
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cdef np.double_t* cptr = <np.double_t*>contiguous_cdata.data
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# use area of polygon to determine the rough size of the output arrays
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cdef double area = _polygon_area(contiguous_cdata, contiguous_rdata)
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#: output coordinate arrays
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cdef np.ndarray[np.int32_t, ndim=1, mode="c"] rr, cc
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rr = np.zeros(int(area), dtype=np.int32)
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cc = np.zeros(int(area), dtype=np.int32)
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for r in range(minr, maxr+1):
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for c in range(minc, maxc+1):
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if pnpoly(nr_verts, cptr, rptr, c, r):
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rr[i] = r
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cc[i] = c
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i += 1
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# area >= number of points in polygon, so crop actual points
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return rr[:i], cc[:i]
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@@ -3,4 +3,4 @@ Methods to draw on arrays.
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"""
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from ._draw import bresenham
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from ._draw import bresenham, polygon
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@@ -1,7 +1,8 @@
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from numpy.testing import assert_array_equal
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import numpy as np
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from skimage.draw import bresenham
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from skimage.draw import bresenham, polygon
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def test_bresenham_horizontal():
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img = np.zeros((10, 10))
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@@ -25,7 +26,7 @@ def test_bresenham_vertical():
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assert_array_equal(img, img_)
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def test_reverse():
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def test_bresenham_reverse():
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img = np.zeros((10, 10))
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rr, cc = bresenham(0, 9, 0, 0)
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@@ -36,7 +37,7 @@ def test_reverse():
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assert_array_equal(img, img_)
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def test_diag():
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def test_bresenham_diag():
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img = np.zeros((5, 5))
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rr, cc = bresenham(0, 0, 4, 4)
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@@ -47,6 +48,75 @@ def test_diag():
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assert_array_equal(img, img_)
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def test_polygon_rectangle():
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img = np.zeros((10, 10), 'uint8')
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poly = np.array(((1, 1), (4, 1), (4, 4), (1, 4), (1, 1)))
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rr, cc = polygon(poly)
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img[rr,cc] = 1
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img_ = np.zeros((10, 10))
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img_[1:4,1:4] = 1
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assert_array_equal(img, img_)
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def test_polygon_rectangle_angular():
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img = np.zeros((10, 10), 'uint8')
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poly = np.array(((0, 3), (4, 7), (7, 4), (3, 0), (0, 3)))
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rr, cc = polygon(poly)
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img[rr,cc] = 1
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img_ = np.array(
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[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 1, 1, 0, 0, 0, 0, 0, 0],
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[0, 1, 1, 1, 1, 0, 0, 0, 0, 0],
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[1, 1, 1, 1, 1, 1, 0, 0, 0, 0],
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[0, 1, 1, 1, 1, 1, 1, 0, 0, 0],
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[0, 0, 1, 1, 1, 1, 0, 0, 0, 0],
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[0, 0, 0, 1, 1, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
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)
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assert_array_equal(img, img_)
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def test_polygon_parallelogram():
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img = np.zeros((10, 10), 'uint8')
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poly = np.array(((1, 1), (5, 1), (7, 6), (3, 6), (1, 1)))
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rr, cc = polygon(poly)
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img[rr,cc] = 1
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img_ = np.array(
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[[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 1, 1, 1, 0, 0, 0, 0, 0, 0],
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[0, 1, 1, 1, 1, 1, 0, 0, 0, 0],
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[0, 1, 1, 1, 1, 1, 0, 0, 0, 0],
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[0, 1, 1, 1, 1, 1, 0, 0, 0, 0],
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[0, 0, 0, 0, 1, 1, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0],
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[0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]
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)
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assert_array_equal(img, img_)
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def test_polygon_exceed():
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img = np.zeros((10, 10), 'uint8')
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poly = np.array(((1, -1), (100, -1), (100, 100), (1, 100), (1, 1)))
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rr, cc = polygon(poly, img.shape)
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img[rr,cc] = 1
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img_ = np.zeros((10, 10))
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img_[1:,:] = 1
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assert_array_equal(img, img_)
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if __name__ == "__main__":
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from numpy.testing import run_module_suite
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run_module_suite()
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