/usr/lib/python3/dist-packages/photutils/psf/tests/test_groupstars.py is in python3-photutils 0.4-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
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from __future__ import division
import numpy as np
import pytest
from numpy.testing import assert_array_equal
from astropy.table import Table, vstack
from ..groupstars import DAOGroup, DBSCANGroup
try:
import sklearn.cluster # noqa
HAS_SKLEARN = True
except ImportError:
HAS_SKLEARN = False
class TestDAOGROUP(object):
def test_daogroup_one(self):
"""
+---------+--------+---------+---------+--------+---------+
| * * * * |
| |
0.2 + +
| |
| |
| |
0 + * * +
| |
| |
| |
-0.2 + +
| |
| * * * * |
+---------+--------+---------+---------+--------+---------+
0 0.5 1 1.5 2
x and y axis are in pixel coordinates. Each asterisk represents
the centroid of a star.
"""
x_0 = np.array([0, np.sqrt(2)/4, np.sqrt(2)/4, -np.sqrt(2)/4,
-np.sqrt(2)/4])
y_0 = np.array([0, np.sqrt(2)/4, -np.sqrt(2)/4, np.sqrt(2)/4,
-np.sqrt(2)/4])
x_1 = x_0 + 2.0
first_group = Table([x_0, y_0, np.arange(len(x_0)) + 1,
np.ones(len(x_0), dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
second_group = Table([x_1, y_0, len(x_0) + np.arange(len(x_0)) + 1,
2*np.ones(len(x_0), dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
starlist = vstack([first_group, second_group])
daogroup = DAOGroup(crit_separation=0.6)
test_starlist = daogroup(starlist['x_0', 'y_0', 'id'])
assert_array_equal(starlist, test_starlist)
def test_daogroup_two(self):
"""
+--------------+--------------+-------------+--------------+
3 + * +
| * |
2.5 + * +
| * |
2 + * +
| |
1.5 + +
| |
1 + * +
| * |
0.5 + * +
| * |
0 + * +
+--------------+--------------+-------------+--------------+
-1 -0.5 0 0.5 1
"""
first_group = Table([np.zeros(5), np.linspace(0, 1, 5),
np.arange(5) + 1, np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
second_group = Table([np.zeros(5), np.linspace(2, 3, 5),
6 + np.arange(5), 2*np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
starlist = vstack([first_group, second_group])
daogroup = DAOGroup(crit_separation=0.3)
test_starlist = daogroup(starlist['x_0', 'y_0', 'id'])
assert_array_equal(starlist, test_starlist)
def test_daogroup_three(self):
"""
1 +--+-------+--------+--------+--------+-------+--------+--+
| |
| |
| |
0.5 + +
| |
| |
0 + * * * * * * * * * * +
| |
| |
-0.5 + +
| |
| |
| |
-1 +--+-------+--------+--------+--------+-------+--------+--+
0 0.5 1 1.5 2 2.5 3
"""
first_group = Table([np.linspace(0, 1, 5), np.zeros(5),
np.arange(5) + 1, np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
second_group = Table([np.linspace(2, 3, 5), np.zeros(5),
6 + np.arange(5), 2*np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
starlist = vstack([first_group, second_group])
daogroup = DAOGroup(crit_separation=0.3)
test_starlist = daogroup(starlist['x_0', 'y_0', 'id'])
assert_array_equal(starlist, test_starlist)
def test_daogroup_four(self):
"""
+-+---------+---------+---------+---------+-+
1 + * +
| * * |
| |
| |
0.5 + +
| |
| |
| |
0 + * * +
| |
| |
-0.5 + +
| |
| |
| * * |
-1 + * +
+-+---------+---------+---------+---------+-+
-1 -0.5 0 0.5 1
"""
x = np.linspace(-1., 1., 5)
y = np.sqrt(1. - x**2)
xx = np.hstack((x, x))
yy = np.hstack((y, -y))
starlist = Table([xx, yy, np.arange(10) + 1,
np.ones(10, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
daogroup = DAOGroup(crit_separation=2.5)
test_starlist = daogroup(starlist['x_0', 'y_0', 'id'])
assert_array_equal(starlist, test_starlist)
def test_daogroup_five(self):
"""
+--+--------+--------+-------+--------+--------+--------+--+
3 + * +
| * |
2.5 + * +
| * |
2 + * +
| |
1.5 + * * * * * * * * * * +
| |
1 + * +
| * |
0.5 + * +
| * |
0 + * +
+--+--------+--------+-------+--------+--------+--------+--+
0 0.5 1 1.5 2 2.5 3
"""
first_group = Table([1.5*np.ones(5), np.linspace(0, 1, 5),
np.arange(5) + 1, np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
second_group = Table([1.5*np.ones(5), np.linspace(2, 3, 5),
6 + np.arange(5), 2*np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
third_group = Table([np.linspace(0, 1, 5), 1.5*np.ones(5),
11 + np.arange(5), 3*np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
fourth_group = Table([np.linspace(2, 3, 5), 1.5*np.ones(5),
16 + np.arange(5), 4*np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
starlist = vstack([first_group, second_group, third_group,
fourth_group])
daogroup = DAOGroup(crit_separation=0.3)
test_starlist = daogroup(starlist['x_0', 'y_0', 'id'])
assert_array_equal(starlist, test_starlist)
def test_daogroup_six(self):
"""
+------+----------+----------+----------+----------+------+
| * * * * * * |
| |
0.2 + +
| |
| |
| |
0 + * * * +
| |
| |
| |
-0.2 + +
| |
| * * * * * * |
+------+----------+----------+----------+----------+------+
0 1 2 3 4
"""
x_0 = np.array([0, np.sqrt(2)/4, np.sqrt(2)/4, -np.sqrt(2)/4,
-np.sqrt(2)/4])
y_0 = np.array([0, np.sqrt(2)/4, -np.sqrt(2)/4, np.sqrt(2)/4,
-np.sqrt(2)/4])
x_1 = x_0 + 2.0
x_2 = x_0 + 4.0
first_group = Table([x_0, y_0, np.arange(5) + 1,
np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
second_group = Table([x_1, y_0, 6 + np.arange(5),
2*np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
third_group = Table([x_2, y_0, 11 + np.arange(5),
3*np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
starlist = vstack([first_group, second_group, third_group])
daogroup = DAOGroup(crit_separation=0.6)
test_starlist = daogroup(starlist['x_0', 'y_0', 'id'])
assert_array_equal(starlist, test_starlist)
def test_isolated_sources(self):
"""
Test case when all sources are isolated.
"""
x_0 = np.array([0, np.sqrt(2)/4, np.sqrt(2)/4, -np.sqrt(2)/4,
-np.sqrt(2)/4])
y_0 = np.array([0, np.sqrt(2)/4, -np.sqrt(2)/4, np.sqrt(2)/4,
-np.sqrt(2)/4])
starlist = Table([x_0, y_0, np.arange(len(x_0)) + 1,
np.arange(len(x_0)) + 1],
names=('x_0', 'y_0', 'id', 'group_id'))
daogroup = DAOGroup(crit_separation=0.01)
test_starlist = daogroup(starlist['x_0', 'y_0', 'id'])
assert_array_equal(starlist, test_starlist)
def test_id_column(self):
x_0 = np.array([0, np.sqrt(2)/4, np.sqrt(2)/4, -np.sqrt(2)/4,
-np.sqrt(2)/4])
y_0 = np.array([0, np.sqrt(2)/4, -np.sqrt(2)/4, np.sqrt(2)/4,
-np.sqrt(2)/4])
starlist = Table([x_0, y_0, np.arange(len(x_0)) + 1,
np.arange(len(x_0)) + 1],
names=('x_0', 'y_0', 'id', 'group_id'))
daogroup = DAOGroup(crit_separation=0.01)
test_starlist = daogroup(starlist['x_0', 'y_0'])
assert_array_equal(starlist, test_starlist)
def test_id_column_raise_error(self):
x_0 = np.array([0, np.sqrt(2)/4, np.sqrt(2)/4, -np.sqrt(2)/4,
-np.sqrt(2)/4])
y_0 = np.array([0, np.sqrt(2)/4, -np.sqrt(2)/4, np.sqrt(2)/4,
-np.sqrt(2)/4])
starlist = Table([x_0, y_0, np.arange(len(x_0)),
np.arange(len(x_0)) + 1],
names=('x_0', 'y_0', 'id', 'group_id'))
daogroup = DAOGroup(crit_separation=0.01)
with pytest.raises(ValueError):
daogroup(starlist['x_0', 'y_0', 'id'])
@pytest.mark.skipif('not HAS_SKLEARN')
class TestDBSCANGroup(object):
def test_group_stars_one(object):
x_0 = np.array([0, np.sqrt(2)/4, np.sqrt(2)/4, -np.sqrt(2)/4,
-np.sqrt(2)/4])
y_0 = np.array([0, np.sqrt(2)/4, -np.sqrt(2)/4, np.sqrt(2)/4,
-np.sqrt(2)/4])
x_1 = x_0 + 2.0
first_group = Table([x_0, y_0, np.arange(len(x_0)) + 1,
np.ones(len(x_0), dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
second_group = Table([x_1, y_0, len(x_0) + np.arange(len(x_0)) + 1,
2*np.ones(len(x_0), dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
starlist = vstack([first_group, second_group])
dbscan = DBSCANGroup(crit_separation=0.6)
test_starlist = dbscan(starlist['x_0', 'y_0', 'id'])
assert_array_equal(starlist, test_starlist)
def test_group_stars_two(object):
first_group = Table([1.5*np.ones(5), np.linspace(0, 1, 5),
np.arange(5) + 1, np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
second_group = Table([1.5*np.ones(5), np.linspace(2, 3, 5),
6 + np.arange(5), 2*np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
third_group = Table([np.linspace(0, 1, 5), 1.5*np.ones(5),
11 + np.arange(5), 3*np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
fourth_group = Table([np.linspace(2, 3, 5), 1.5*np.ones(5),
16 + np.arange(5), 4*np.ones(5, dtype=np.int)],
names=('x_0', 'y_0', 'id', 'group_id'))
starlist = vstack([first_group, second_group, third_group,
fourth_group])
dbscan = DBSCANGroup(crit_separation=0.3)
test_starlist = dbscan(starlist['x_0', 'y_0', 'id'])
assert_array_equal(starlist, test_starlist)
def test_isolated_sources(self):
"""
Test case when all sources are isolated.
"""
x_0 = np.array([0, np.sqrt(2)/4, np.sqrt(2)/4, -np.sqrt(2)/4,
-np.sqrt(2)/4])
y_0 = np.array([0, np.sqrt(2)/4, -np.sqrt(2)/4, np.sqrt(2)/4,
-np.sqrt(2)/4])
starlist = Table([x_0, y_0, np.arange(len(x_0)) + 1,
np.arange(len(x_0)) + 1],
names=('x_0', 'y_0', 'id', 'group_id'))
dbscan = DBSCANGroup(crit_separation=0.01)
test_starlist = dbscan(starlist['x_0', 'y_0', 'id'])
assert_array_equal(starlist, test_starlist)
def test_id_column(self):
x_0 = np.array([0, np.sqrt(2)/4, np.sqrt(2)/4, -np.sqrt(2)/4,
-np.sqrt(2)/4])
y_0 = np.array([0, np.sqrt(2)/4, -np.sqrt(2)/4, np.sqrt(2)/4,
-np.sqrt(2)/4])
starlist = Table([x_0, y_0, np.arange(len(x_0)) + 1,
np.arange(len(x_0)) + 1],
names=('x_0', 'y_0', 'id', 'group_id'))
dbscan = DBSCANGroup(crit_separation=0.01)
test_starlist = dbscan(starlist['x_0', 'y_0'])
assert_array_equal(starlist, test_starlist)
def test_id_column_raise_error(self):
x_0 = np.array([0, np.sqrt(2)/4, np.sqrt(2)/4, -np.sqrt(2)/4,
-np.sqrt(2)/4])
y_0 = np.array([0, np.sqrt(2)/4, -np.sqrt(2)/4, np.sqrt(2)/4,
-np.sqrt(2)/4])
starlist = Table([x_0, y_0, np.arange(len(x_0)),
np.arange(len(x_0)) + 1],
names=('x_0', 'y_0', 'id', 'group_id'))
dbscan = DBSCANGroup(crit_separation=0.01)
with pytest.raises(ValueError):
dbscan(starlist['x_0', 'y_0', 'id'])
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