rm CondaPkg environment

.CondaPkg/env/Lib/site-packages/skimage/_shared/_geometry.py

@@ -1,54 +0,0 @@
-__all__ = ['polygon_clip', 'polygon_area']
-
-import numpy as np
-
-from .version_requirements import require
-
-
-@require("matplotlib", ">=3.3")
-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]
-
-    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])))