Fixed database typo and removed unnecessary class identifier.

venv/Lib/site-packages/skimage/_shared/_geometry.py

@@ -0,0 +1,55 @@
+__all__ = ['polygon_clip', 'polygon_area']
+
+import numpy as np
+
+
+def polygon_clip(rp, cp, r0, c0, r1, c1):
+    """Clip a polygon to the given bounding box.
+
+    Parameters
+    ----------
+    rp, cp : (N,) ndarray of double
+        Row and column coordinates of the polygon.
+    (r0, c0), (r1, c1) : double
+        Top-left and bottom-right coordinates of the bounding box.
+
+    Returns
+    -------
+    r_clipped, c_clipped : (M,) ndarray of double
+        Coordinates of clipped polygon.
+
+    Notes
+    -----
+    This makes use of Sutherland-Hodgman clipping as implemented in
+    AGG 2.4 and exposed in Matplotlib.
+
+    """
+    from matplotlib import path, transforms
+
+    poly = path.Path(np.vstack((rp, cp)).T, closed=True)
+    clip_rect = transforms.Bbox([[r0, c0], [r1, c1]])
+    poly_clipped = poly.clip_to_bbox(clip_rect).to_polygons()[0]
+
+    # This should be fixed in matplotlib >1.5
+    if np.all(poly_clipped[-1] == poly_clipped[-2]):
+        poly_clipped = poly_clipped[:-1]
+
+    return poly_clipped[:, 0], poly_clipped[:, 1]
+
+
+def polygon_area(pr, pc):
+    """Compute the area of a polygon.
+
+    Parameters
+    ----------
+    pr, pc : (N,) array of float
+        Polygon row and column coordinates.
+
+    Returns
+    -------
+    a : float
+        Area of the polygon.
+    """
+    pr = np.asarray(pr)
+    pc = np.asarray(pc)
+    return 0.5 * np.abs(np.sum((pc[:-1] * pr[1:]) - (pc[1:] * pr[:-1])))