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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pixelization.py
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1# This file is part of dax_apdb.
2#
3# Developed for the LSST Data Management System.
4# This product includes software developed by the LSST Project
5# (http://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#
19# You should have received a copy of the GNU General Public License
20# along with this program. If not, see <http://www.gnu.org/licenses/>.
21
22from __future__ import annotations
23
24__all__ = ["Pixelization"]
25
26import logging
27
28from lsst import sphgeom
29
30_LOG = logging.getLogger(__name__)
31
32
34 """Wrapper for pixelization classes from `sphgeom` with configurable
35 pixelization type and parameters.
36
37 Parameters
38 ----------
39 pixelization : `str`
40 Name of a pixelization type, one of ""htm", "q3c", "mq3c", or
41 "healpix".
42 pix_level : `int`
43 Pixelization level.
44 pix_max_ranges : `int`
45 Maximum number of ranges returned from `envelope()` method.
46 """
47
48 def __init__(self, pixelization: str, pix_level: int, pix_max_ranges: int):
49 self._pix_max_ranges = pix_max_ranges
50 self._is_healpix = False
51
52 if pixelization == "htm":
54 elif pixelization == "q3c":
55 self.pixelator = sphgeom.Q3cPixelization(pix_level)
56 elif pixelization == "mq3c":
57 self.pixelator = sphgeom.Mq3cPixelization(pix_level)
58 elif pixelization == "healpix":
59 # Healpix does not support maxRanges.
60 self._pix_max_ranges = 0
61 self._is_healpix = True
63 else:
64 raise ValueError(f"unknown pixelization: {pixelization}")
65
66 def pixels(self, region: sphgeom.Region) -> list[int]:
67 """Compute set of the pixel indices for given region.
68
69 Parameters
70 ----------
71 region : `lsst.sphgeom.Region`
72 """
73 # We want finest set of pixels, so ask as many pixel as reasonable, but
74 # healpix does not support non-zero maxRanges.
75 ranges = self.pixelator.envelope(region, 0 if self._is_healpix else 1_000_000)
76 indices = []
77 for lower, upper in ranges:
78 indices += list(range(lower, upper))
79 return indices
80
81 def pixel(self, direction: sphgeom.UnitVector3d) -> int:
82 """Compute the index of the pixel for given direction.
83
84 Parameters
85 ----------
86 direction : `lsst.sphgeom.UnitVector3d`
87 """
88 index = self.pixelator.index(direction)
89 return index
90
91 def region(self, pixel: int) -> sphgeom.Region:
92 """Return region corresponding to a pixel index.
93
94 Parameters
95 ----------
96 pixel : `int`
97 Pixel index.
98
99 Returns
100 -------
101 region : `lsst.sphgeom.Region`
102 Region for a given pixel index.
103 """
104 region = self.pixelator.pixel(pixel)
105 return region
106
107 def envelope(self, region: sphgeom.Region) -> list[tuple[int, int]]:
108 """Generate a set of HTM indices covering specified region.
109
110 Parameters
111 ----------
112 region: `sphgeom.Region`
113 Region that needs to be indexed.
114
115 Returns
116 -------
117 ranges : `list` of `tuple`
118 Sequence of ranges, range is a tuple (minHtmID, maxHtmID).
119 """
120 _LOG.debug("region: %s", region)
121 indices = self.pixelator.envelope(region, self._pix_max_ranges)
122
123 if _LOG.isEnabledFor(logging.DEBUG):
124 for irange in indices.ranges():
125 _LOG.debug(
126 "range: %s %s",
127 self.pixelator.toString(irange[0]),
128 self.pixelator.toString(irange[1]),
129 )
130
131 return indices.ranges()
sphgeom.Region region(self, int pixel)
list[int] pixels(self, sphgeom.Region region)
int pixel(self, sphgeom.UnitVector3d direction)
list[tuple[int, int]] envelope(self, sphgeom.Region region)
__init__(self, str pixelization, int pix_level, int pix_max_ranges)
HtmPixelization provides HTM indexing of points and regions.
Mq3cPixelization provides modified Q3C indexing of points and regions.
Q3cPixelization provides Q3C indexing of points and regions.
Region is a minimal interface for 2-dimensional regions on the unit sphere.
Definition Region.h:89