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test_catalog.py
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334 lines (287 loc) · 14 KB
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# Copyright (c) 2012-2023 by the GalSim developers team on GitHub
# https://github.com/GalSim-developers
#
# This file is part of GalSim: The modular galaxy image simulation toolkit.
# https://github.com/GalSim-developers/GalSim
#
# GalSim is free software: redistribution and use in source and binary forms,
# with or without modification, are permitted provided that the following
# conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice, this
# list of conditions, and the disclaimer given in the accompanying LICENSE
# file.
# 2. Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions, and the disclaimer given in the documentation
# and/or other materials provided with the distribution.
#
import os
import numpy as np
import galsim
from galsim_test_helpers import *
@timer
def test_ascii_catalog():
"""Test basic operations on an ASCII Catalog."""
cat = galsim.Catalog(dir='config_input', file_name='catalog.txt')
np.testing.assert_equal(cat.ncols, 12)
np.testing.assert_equal(cat.nobjects, 3)
np.testing.assert_equal(cat.isFits(), False)
np.testing.assert_equal(cat.get(1,11), '15')
np.testing.assert_equal(cat.getInt(1,11), 15)
np.testing.assert_almost_equal(cat.getFloat(2,1), 8000)
check_pickle(cat)
cat2 = galsim.Catalog('catalog.txt', 'config_input', comments='#', file_type='ASCII')
assert cat2 == cat
assert len(cat2) == cat2.nobjects == cat2.getNObjects() == cat.nobjects
assert cat2.ncols == cat.ncols
cat2 = galsim.Catalog('catalog2.txt', 'config_input', comments='%')
assert cat2.nobjects == cat.nobjects
np.testing.assert_array_equal(cat2.data, cat.data)
assert cat2 != cat
check_pickle(cat2)
cat3 = galsim.Catalog('catalog3.txt', 'config_input', comments='')
assert len(cat3) == cat3.nobjects == cat.nobjects
np.testing.assert_array_equal(cat3.data, cat.data)
assert cat3 != cat
check_pickle(cat3)
# Check construction errors
assert_raises(galsim.GalSimValueError, galsim.Catalog, 'catalog.txt', file_type='invalid')
assert_raises(ValueError, galsim.Catalog, 'catalog3.txt', 'config_input', comments="#%")
assert_raises(OSError, galsim.Catalog, 'catalog.txt') # Wrong dir
assert_raises(OSError, galsim.Catalog, 'invalid.txt', 'config_input')
# Check indexing errors
assert_raises(IndexError, cat.get, -1, 11)
assert_raises(IndexError, cat.get, 3, 11)
assert_raises(IndexError, cat.get, 1, -1)
assert_raises(IndexError, cat.get, 1, 50)
assert_raises(IndexError, cat.get, 'val', 11)
assert_raises(IndexError, cat.get, 3, 'val')
@timer
def test_fits_catalog():
"""Test basic operations on a FITS Catalog."""
cat = galsim.Catalog(dir='config_input', file_name='catalog.fits')
np.testing.assert_equal(cat.ncols, 12)
np.testing.assert_equal(cat.nobjects, 3)
np.testing.assert_equal(cat.isFits(), True)
np.testing.assert_equal(cat.get(1,'angle2'), 15)
np.testing.assert_equal(cat.getInt(1,'angle2'), 15)
np.testing.assert_almost_equal(cat.getFloat(2,'float2'), 8000)
check_pickle(cat)
cat2 = galsim.Catalog('catalog.fits', 'config_input', hdu=1, file_type='FITS')
assert cat2 == cat
assert len(cat2) == cat2.nobjects == cat2.getNObjects() == cat.nobjects
assert cat2.ncols == cat.ncols
# Check construction errors
assert_raises(galsim.GalSimValueError, galsim.Catalog, 'catalog.fits', file_type='invalid')
assert_raises(OSError, galsim.Catalog, 'catalog.fits') # Wrong dir
assert_raises(OSError, galsim.Catalog, 'invalid.fits', 'config_input')
# Check indexing errors
assert_raises(IndexError, cat.get, -1, 'angle2')
assert_raises(IndexError, cat.get, 3, 'angle2')
assert_raises(KeyError, cat.get, 1, 'invalid')
assert_raises(KeyError, cat.get, 1, 3)
assert_raises(IndexError, cat.get, 'val', 'angle2')
# Check non-default hdu
cat2 = galsim.Catalog('catalog2.fits', 'config_input', hdu=2)
assert len(cat2) == cat2.nobjects == cat.nobjects
np.testing.assert_array_equal(cat2.data, cat.data)
assert cat2 != cat
check_pickle(cat2)
cat3 = galsim.Catalog('catalog2.fits', 'config_input', hdu='data')
assert cat3.nobjects == cat.nobjects
np.testing.assert_array_equal(cat3.data, cat.data)
assert cat3 != cat
assert cat3 != cat2 # Even though these are the same, it doesn't know 'data' is hdu 2.
check_pickle(cat3)
@timer
def test_basic_dict():
"""Test basic operations on Dict."""
import yaml
# Pickle
d = galsim.Dict(dir='config_input', file_name='dict.p')
np.testing.assert_equal(len(d), 4)
np.testing.assert_equal(d.file_type, 'PICKLE')
np.testing.assert_equal(d['i'], 17)
np.testing.assert_equal(d.get('s'), 'Life')
np.testing.assert_equal(d.get('s2', 'Grail'), 'Grail') # Not in dict. Use default.
np.testing.assert_almost_equal(d.get('f', 999.), 23.17) # In dict. Ignore default.
d2 = galsim.Dict(dir='config_input', file_name='dict.p', file_type='pickle')
assert d == d2
check_pickle(d)
# JSON
d = galsim.Dict(dir='config_input', file_name='dict.json')
np.testing.assert_equal(len(d), 4)
np.testing.assert_equal(d.file_type, 'JSON')
np.testing.assert_equal(d['i'], -23)
np.testing.assert_equal(d.get('s'), 'of')
np.testing.assert_equal(d.get('s2', 'Grail'), 'Grail') # Not in dict. Use default.
np.testing.assert_almost_equal(d.get('f', 999.), -17.23) # In dict. Ignore default.
d2 = galsim.Dict(dir='config_input', file_name='dict.json', file_type='json')
assert d == d2
check_pickle(d)
# YAML
d = galsim.Dict(dir='config_input', file_name='dict.yaml')
np.testing.assert_equal(len(d), 5)
np.testing.assert_equal(d.file_type, 'YAML')
np.testing.assert_equal(d['i'], 1)
np.testing.assert_equal(d.get('s'), 'Brian')
np.testing.assert_equal(d.get('s2', 'Grail'), 'Grail') # Not in dict. Use default.
np.testing.assert_almost_equal(d.get('f', 999.), 0.1) # In dict. Ignore default.
d2 = galsim.Dict(dir='config_input', file_name='dict.yaml', file_type='yaml')
assert d == d2
check_pickle(d)
# We also have longer chained keys in dict.yaml
np.testing.assert_equal(d.get('noise.models.0.variance'), 0.12)
np.testing.assert_equal(d.get('noise.models.1.gain'), 1.9)
with assert_raises(KeyError):
d.get('invalid')
with assert_raises(KeyError):
d.get('noise.models.invalid')
with assert_raises(KeyError):
d.get('noise.models.1.invalid')
with assert_raises(IndexError):
d.get('noise.models.2.invalid')
with assert_raises(TypeError):
d.get('noise.models.1.gain.invalid')
# It's really hard to get to this error. I think this is the only (contrived) way.
d3 = galsim.Dict('dict.yaml', 'config_input', key_split=None)
with assert_raises(KeyError):
d3.get('')
check_pickle(d3)
with assert_raises(galsim.GalSimValueError):
galsim.Dict(dir='config_input', file_name='dict.yaml', file_type='invalid')
with assert_raises(galsim.GalSimValueError):
galsim.Dict(dir='config_input', file_name='dict.txt')
with assert_raises(OSError):
galsim.Catalog('invalid.yaml', 'config_input')
# Check some dict equivalences.
assert 'noise' in d
assert len(d) == 5
assert sorted(d.keys()) == ['b', 'f', 'i', 'noise', 's']
assert all( d[k] == v for k,v in d.items() )
assert all( d[k] == v for k,v in zip(d.keys(), d.values()) )
assert all( d[k] == v for k,v in d.iteritems() )
assert all( d[k] == v for k,v in zip(d.iterkeys(), d.itervalues()) )
assert all( k in d for k in d )
@timer
def test_single_row():
"""Test that we can read catalogs with just one row (#394)
"""
filename = os.path.join(os.path.dirname(__file__), "output/test394.txt")
with open(filename, 'w') as f:
f.write("3 4 5\n")
cat = galsim.Catalog(filename, file_type='ascii')
np.testing.assert_array_equal(
cat.data, np.array([["3","4","5"]]),
err_msg="galsim.Catalog.__init__ failed to read 1-row file")
@timer
def test_output_catalog():
"""Test basic operations on Catalog."""
names = [ 'float1', 'float2', 'int1', 'int2', 'bool1', 'bool2',
'str1', 'str2', 'str3', 'str4', 'angle', 'posi', 'posd', 'shear' ]
types = [ float, 'f8', int, 'i4', bool, 'bool', str, 'str', 'S', 'S0',
galsim.Angle, galsim.PositionI, galsim.PositionD, galsim.Shear ]
out_cat = galsim.OutputCatalog(names, types)
row1 = (1.234, 4.131, 9, -3, 1, True, "He's", '"ceased', 'to', 'be"',
1.2 * galsim.degrees, galsim.PositionI(5,6),
galsim.PositionD(0.3,-0.4), galsim.Shear(g1=0.2, g2=0.1))
row2 = (2.345, -900, 0.0, 8, False, 0, "bleedin'", '"bereft', 'of', 'life"',
11 * galsim.arcsec, galsim.PositionI(-35,106),
galsim.PositionD(23.5,55.1), galsim.Shear(e1=-0.1, e2=0.15))
row3 = (3.4560001, 8.e3, -4, 17.0, 1, 0, 'demised!', '"kicked', 'the', 'bucket"',
0.4 * galsim.radians, galsim.PositionI(88,99),
galsim.PositionD(-0.99,-0.88), galsim.Shear())
out_cat.addRow(row1)
out_cat.addRow(row2)
out_cat.addRow(row3)
assert out_cat.names == out_cat.getNames() == names
assert out_cat.types == out_cat.getTypes() == types
assert len(out_cat) == out_cat.getNObjects() == out_cat.nobjects == 3
assert out_cat.getNCols() == out_cat.ncols == len(names)
# Can also set the types after the fact.
# MJ: I think this used to be used by the "truth" catalog extra output.
# But it doesn't seem to be used there anymore. Probably not by anything then.
# I'm not sure how useful it is, I guess it doesn't hurt to leave it in.
out_cat2 = galsim.OutputCatalog(names)
assert out_cat2.types == [float] * len(names)
out_cat2.setTypes(types)
assert out_cat2.types == out_cat2.getTypes() == types
# Another feature that doesn't seem to be used anymore is you can add the rows out of order
# and just give a key to use for sorting at the end.
out_cat2.addRow(row3, 3)
out_cat2.addRow(row1, 1)
out_cat2.addRow(row2, 2)
# Check ASCII round trip
out_cat.write(dir='output', file_name='catalog.dat')
cat = galsim.Catalog(dir='output', file_name='catalog.dat')
np.testing.assert_equal(cat.ncols, 17)
np.testing.assert_equal(cat.nobjects, 3)
np.testing.assert_equal(cat.isFits(), False)
np.testing.assert_almost_equal(cat.getFloat(1,0), 2.345)
np.testing.assert_almost_equal(cat.getFloat(2,1), 8000.)
np.testing.assert_equal(cat.getInt(0,2), 9)
np.testing.assert_equal(cat.getInt(2,3), 17)
np.testing.assert_equal(cat.getInt(2,4), 1)
np.testing.assert_equal(cat.getInt(0,5), 1)
np.testing.assert_equal(cat.get(2,6), 'demised!')
np.testing.assert_equal(cat.get(1,7), '"bereft')
np.testing.assert_equal(cat.get(0,8), 'to')
np.testing.assert_equal(cat.get(2,9), 'bucket"')
np.testing.assert_almost_equal(cat.getFloat(0,10), 1.2 * galsim.degrees / galsim.radians)
np.testing.assert_almost_equal(cat.getInt(1,11), -35)
np.testing.assert_almost_equal(cat.getInt(1,12), 106)
np.testing.assert_almost_equal(cat.getFloat(2,13), -0.99)
np.testing.assert_almost_equal(cat.getFloat(2,14), -0.88)
np.testing.assert_almost_equal(cat.getFloat(0,15), 0.2)
np.testing.assert_almost_equal(cat.getFloat(0,16), 0.1)
# Check FITS round trip
out_cat.write(dir='output', file_name='catalog.fits')
cat = galsim.Catalog(dir='output', file_name='catalog.fits')
np.testing.assert_equal(cat.ncols, 17)
np.testing.assert_equal(cat.nobjects, 3)
np.testing.assert_equal(cat.isFits(), True)
np.testing.assert_almost_equal(cat.getFloat(1,'float1'), 2.345)
np.testing.assert_almost_equal(cat.getFloat(2,'float2'), 8000.)
np.testing.assert_equal(cat.getInt(0,'int1'), 9)
np.testing.assert_equal(cat.getInt(2,'int2'), 17)
np.testing.assert_equal(cat.getInt(2,'bool1'), 1)
np.testing.assert_equal(cat.getInt(0,'bool2'), 1)
np.testing.assert_equal(cat.get(2,'str1'), 'demised!')
np.testing.assert_equal(cat.get(1,'str2'), '"bereft')
np.testing.assert_equal(cat.get(0,'str3'), 'to')
np.testing.assert_equal(cat.get(2,'str4'), 'bucket"')
np.testing.assert_almost_equal(cat.getFloat(0,'angle.rad'),
1.2 * galsim.degrees / galsim.radians)
np.testing.assert_equal(cat.getInt(1,'posi.x'), -35)
np.testing.assert_equal(cat.getInt(1,'posi.y'), 106)
np.testing.assert_almost_equal(cat.getFloat(2,'posd.x'), -0.99)
np.testing.assert_almost_equal(cat.getFloat(2,'posd.y'), -0.88)
np.testing.assert_almost_equal(cat.getFloat(0,'shear.g1'), 0.2)
np.testing.assert_almost_equal(cat.getFloat(0,'shear.g2'), 0.1)
# The one that was made out of order should write the same file.
out_cat2.write(dir='output', file_name='catalog2.fits')
cat2 = galsim.Catalog(dir='output', file_name='catalog2.fits')
np.testing.assert_array_equal(cat2.data, cat.data)
assert cat2 != cat # Because file_name is different.
# Check that it properly overwrites an existing output file.
out_cat.addRow( [1.234, 4.131, 9, -3, 1, True, "He's", '"ceased', 'to', 'be"',
1.2 * galsim.degrees, galsim.PositionI(5,6),
galsim.PositionD(0.3,-0.4), galsim.Shear(g1=0.2, g2=0.1) ])
assert out_cat.rows[3] == out_cat.rows[0]
out_cat.write(dir='output', file_name='catalog.fits') # Same name as above.
cat2 = galsim.Catalog(dir='output', file_name='catalog.fits')
np.testing.assert_equal(cat2.ncols, 17)
np.testing.assert_equal(cat2.nobjects, 4)
for key in names[:10]:
assert cat2.data[key][3] == cat2.data[key][0]
# Check pickling
check_pickle(out_cat)
out_cat2 = galsim.OutputCatalog(names, types) # No data.
check_pickle(out_cat2)
# Check errors
with assert_raises(galsim.GalSimValueError):
out_cat.addRow((1,2,3)) # Wrong length
with assert_raises(galsim.GalSimValueError):
out_cat.write(dir='output', file_name='catalog.txt', file_type='invalid')
if __name__ == "__main__":
runtests(__file__)