LSST Applications 30.0.7,g0e76e35be5+e8e946ae08,g19811a7679+138f7293ba,g199a45376c+5e234f8357,g1fd858c14a+2f48dbc4c4,g262e1987ae+fb36cac54d,g29ae962dfc+d9108a0941,g2c21b0017a+4f59a27f16,g31e44d4a5c+b0138be388,g33ac35c1f1+28b9f72785,g35bb328faa+b0138be388,g40c9b15c53+823ad735c1,g47891489e3+bcc48a0b46,g53246c7159+b0138be388,g64539dfbff+e8e946ae08,g67b6fd64d1+bcc48a0b46,g74acd417e5+422380537a,g76965917b2+a5ca99c4d9,g786e29fd12+796b79145d,g7aefaa3e3d+dc0c200193,g86b635cae8+734fe384f0,g87389fa792+d8b5378923,g89139ef638+bcc48a0b46,g8bbb235e95+3f4f7f9447,g8ea07a8fe4+78a4c88802,g9290983e33+ffdc83c6f7,g92c671f44c+e8e946ae08,gaa753fd333+03f406da14,gbf99507273+b0138be388,gc49b57b85e+8df26ee1f0,gca7fc764a6+bcc48a0b46,gd7ef33dd92+bcc48a0b46,gdab6d2f7ff+422380537a,ge1c02a5578+b0138be388,ge410e46f29+bcc48a0b46,ge80df9fc40+e6db5413d1,geaed405ab2+1de65a85c6,gf5dcc679e7+35a0ce2edd,gf5f1c85443+e8e946ae08
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