LSST Applications 29.0.1,g0fba68d861+132dd21e0a,g107a963962+1bb9f809a9,g1fd858c14a+005be21cae,g21d47ad084+8a07b29876,g325378336f+5d73323c8f,g330003fc43+40b4eaffc6,g35bb328faa+fcb1d3bbc8,g36ff55ed5b+9c28a42a87,g4e0f332c67+5fbd1e3e73,g53246c7159+fcb1d3bbc8,g60b5630c4e+9c28a42a87,g67b6fd64d1+a38b34ea13,g78460c75b0+2f9a1b4bcd,g786e29fd12+cf7ec2a62a,g7b71ed6315+fcb1d3bbc8,g86c591e316+6b2b2d0295,g8852436030+bf14db0e33,g89139ef638+a38b34ea13,g8b8da53e10+e3777245af,g9125e01d80+fcb1d3bbc8,g989de1cb63+a38b34ea13,g9f1445be69+9c28a42a87,g9f33ca652e+52c8f07962,ga9baa6287d+9c28a42a87,ga9e4eb89a6+9f84bd6575,gabe3b4be73+1e0a283bba,gb037a4e798+f3cbcd26c0,gb1101e3267+e7be8da0f8,gb58c049af0+f03b321e39,gb89ab40317+a38b34ea13,gcf25f946ba+bf14db0e33,gd6cbbdb0b4+bce7f7457e,gd9a9a58781+fcb1d3bbc8,gde0f65d7ad+53d424b1ae,ge278dab8ac+222406d50a,ge410e46f29+a38b34ea13,ge80e9994a3+664d6357dc,gf67bdafdda+a38b34ea13
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