LSST Applications 29.1.1,g0fba68d861+94d977d4f8,g1fd858c14a+0a42b1a450,g21d47ad084+bae5d1592d,g35bb328faa+fcb1d3bbc8,g36ff55ed5b+4036fd6440,g4e0f332c67+abab7ee1ee,g53246c7159+fcb1d3bbc8,g60b5630c4e+4036fd6440,g67b6fd64d1+31de10a2f7,g72a202582f+7a25662ef1,g78460c75b0+2f9a1b4bcd,g786e29fd12+cf7ec2a62a,g86c591e316+1a75853d69,g8852436030+8220ab3cb6,g88f4e072da+7005418d1d,g89139ef638+31de10a2f7,g8b8da53e10+8f7b08dc1c,g9125e01d80+fcb1d3bbc8,g989de1cb63+31de10a2f7,g9f1445be69+4036fd6440,g9f33ca652e+fcef3ba435,ga9baa6287d+4036fd6440,ga9e4eb89a6+a41a34c2ba,gabe3b4be73+1e0a283bba,gb0b61e0e8e+d456af7c26,gb1101e3267+f17a9d70ea,gb58c049af0+f03b321e39,gb89ab40317+31de10a2f7,gce29eb0867+05ed69485a,gcf25f946ba+8220ab3cb6,gd6cbbdb0b4+11317e7a17,gd9a9a58781+fcb1d3bbc8,gde0f65d7ad+b4f50ea554,ge278dab8ac+50e2446c94,ge410e46f29+31de10a2f7,ge80e9994a3+32bb9bc1c9,gf5e32f922b+fcb1d3bbc8,gf67bdafdda+31de10a2f7
LSST Data Management Base Package
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_spanSetContinued.py
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1# This file is part of afw.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (https://www.lsst.org).
6# See the COPYRIGHT file at the top-level directory of this distribution
7# for details of code ownership.
8#
9# This program is free software: you can redistribute it and/or modify
10# it under the terms of the GNU General Public License as published by
11# the Free Software Foundation, either version 3 of the License, or
12# (at your option) any later version.
13#
14# This program is distributed in the hope that it will be useful,
15# but WITHOUT ANY WARRANTY; without even the implied warranty of
16# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
17# GNU General Public License for more details.
18#
19import numpy as np
20
21from . import SpanSet
22from lsst.utils import continueClass
23
24__all__ = []
25
26
27@continueClass
28class SpanSet: # noqa: F811
29 def asArray(self, shape=None, xy0=None):
30 """Convert a SpanSet into a numpy boolean array
31
32 Parameters
33 ----------
34 shape : `tuple` of `int`
35 The final shape of the output array.
36 If `shape` is `None` then the extent of the bounding box is used.
37 xy0 : `~lsst.geom.Box2I` or `tuple` of `int`
38 The lower-left corner of the array that will contain the spans.
39 If `xy0` is `None` then the origin of the bounding box is used.
40
41 Returns
42 -------
43 result : `numpy.ndarray`
44 The array with pixels contained in `spans` marked as `True`.
45 """
46 # prevent circular import
47 from lsst.afw.image import Mask
48
49 if shape is None and xy0 is None:
50 # It's slightly faster to set the array with the Mask instead of
51 # shifting the spans.
52 bbox = self.getBBox()
53 mask = Mask(bbox)
54 self.setMask(mask, 1)
55 result = mask.getArray().astype(bool)
56 else:
57 if shape is None:
58 # Use the shape of the full SpanSet
59 extent = self.getBBox().getDimensions()
60 shape = extent[1], extent[0]
61
62 if xy0 is None:
63 xy0 = self.getBBox().getMin()
64 offset = (-xy0[0], -xy0[1])
65
66 result = np.zeros(shape, dtype=bool)
67 yidx, xidx = self.shiftedBy(*offset).indices()
68 result[yidx, xidx] = 1
69 return result