def test_different_table_rows(self):
"""
Test tables that are otherwise identical but one has more rows than the
other.
"""
ca1 = Column('A', format='L', array=[True, False])
cb1 = Column('B', format='L', array=[True, False])
ca2 = Column('A', format='L', array=[True, False, True])
cb2 = Column('B', format='L', array=[True, False, True])
ta = BinTableHDU.from_columns([ca1, cb1])
tb = BinTableHDU.from_columns([ca2, cb2])
diff = TableDataDiff(ta.data, tb.data)
assert not diff.identical
assert diff.diff_column_count == ()
assert len(diff.common_columns) == 2
assert diff.diff_rows == (2, 3)
assert diff.diff_values == []
report = diff.report()
assert 'Table rows differ' in report
assert 'a: 2' in report
assert 'b: 3' in report
assert 'No further data comparison performed.'
def test_different_table_field_counts(self):
"""
Test tables with some common columns, but different number of columns
overall.
"""
ca = Column('A', format='L', array=[True, False])
cb = Column('B', format='L', array=[True, False])
cc = Column('C', format='L', array=[True, False])
ta = BinTableHDU.from_columns([cb])
tb = BinTableHDU.from_columns([ca, cb, cc])
diff = TableDataDiff(ta.data, tb.data)
assert not diff.identical
assert diff.diff_column_count == (1, 3)
assert len(diff.common_columns) == 1
assert diff.common_column_names == {'b'}
assert diff.diff_column_names == ([], ['A', 'C'])
assert diff.diff_ratio == 0
assert diff.diff_total == 0
report = diff.report()
assert ' Tables have different number of columns:' in report
assert ' a: 1\n b: 3' in report
def test_partially_identical_files3(self):
"""
Test files that have some identical HDUs but a different extension
name.
"""
phdu = PrimaryHDU()
ehdu = ImageHDU(name='FOO')
hdula = HDUList([phdu, ehdu])
ehdu = BinTableHDU(name='BAR')
ehdu.header['EXTVER'] = 2
ehdu.header['EXTLEVEL'] = 3
hdulb = HDUList([phdu, ehdu])
diff = FITSDiff(hdula, hdulb)
assert not diff.identical
assert diff.diff_hdus[0][0] == 1
hdu_diff = diff.diff_hdus[0][1]
assert hdu_diff.diff_extension_types == ('IMAGE', 'BINTABLE')
assert hdu_diff.diff_extnames == ('FOO', 'BAR')
assert hdu_diff.diff_extvers == (1, 2)
assert hdu_diff.diff_extlevels == (1, 3)
report = diff.report()
assert 'Extension types differ' in report
assert 'a: IMAGE\n b: BINTABLE' in report
assert 'Extension names differ' in report
assert 'a: FOO\n b: BAR' in report
assert 'Extension versions differ' in report
assert 'a: 1\n b: 2' in report
assert 'Extension levels differ' in report
assert 'a: 1\n b: 2' in report
def test_different_table_field_names(self):
ca = Column('A', format='L', array=[True, False])
cb = Column('B', format='L', array=[True, False])
cc = Column('C', format='L', array=[True, False])
ta = BinTableHDU.from_columns([ca, cb])
tb = BinTableHDU.from_columns([ca, cc])
diff = TableDataDiff(ta.data, tb.data)
assert not diff.identical
assert len(diff.common_columns) == 1
assert diff.common_column_names == {'a'}
assert diff.diff_column_names == (['B'], ['C'])
assert diff.diff_ratio == 0
assert diff.diff_total == 0
report = diff.report()
assert 'Extra column B of format L in a' in report
assert 'Extra column C of format L in b' in report
def test_different_table_field_names(self):
ca = Column('A', format='L', array=[True, False])
cb = Column('B', format='L', array=[True, False])
cc = Column('C', format='L', array=[True, False])
ta = BinTableHDU.from_columns([ca, cb])
tb = BinTableHDU.from_columns([ca, cc])
diff = TableDataDiff(ta.data, tb.data)
assert not diff.identical
assert len(diff.common_columns) == 1
assert diff.common_column_names == {'a'}
assert diff.diff_column_names == (['B'], ['C'])
assert diff.diff_ratio == 0
assert diff.diff_total == 0
report = diff.report()
assert 'Extra column B of format L in a' in report
assert 'Extra column C of format L in b' in report
def test_ignore_hdus(self):
a = np.arange(100).reshape(10, 10)
b = a.copy()
ha = Header([('A', 1), ('B', 2), ('C', 3)])
xa = np.array([(1.0, 1), (3.0, 4)], dtype=[('x', float), ('y', int)])
xb = np.array([(1.0, 2), (3.0, 5)], dtype=[('x', float), ('y', int)])
phdu = PrimaryHDU(header=ha)
ihdua = ImageHDU(data=a, name='SCI')
ihdub = ImageHDU(data=b, name='SCI')
bhdu1 = BinTableHDU(data=xa, name='ASDF')
bhdu2 = BinTableHDU(data=xb, name='ASDF')
hdula = HDUList([phdu, ihdua, bhdu1])
hdulb = HDUList([phdu, ihdub, bhdu2])
# ASDF extension should be different
diff = FITSDiff(hdula, hdulb)
assert not diff.identical
assert diff.diff_hdus[0][0] == 2
# ASDF extension should be ignored
diff = FITSDiff(hdula, hdulb, ignore_hdus=['ASDF'])
assert diff.identical, diff.report()
diff = FITSDiff(hdula, hdulb, ignore_hdus=['ASD*'])
assert diff.identical, diff.report()
# SCI extension should be different
hdulb['SCI'].data += 1
diff = FITSDiff(hdula, hdulb, ignore_hdus=['ASDF'])
assert not diff.identical
# SCI and ASDF extensions should be ignored
diff = FITSDiff(hdula, hdulb, ignore_hdus=['SCI', 'ASDF'])
assert diff.identical, diff.report()
# All EXTVER of SCI should be ignored
ihduc = ImageHDU(data=a, name='SCI', ver=2)
hdulb.append(ihduc)
diff = FITSDiff(hdula, hdulb, ignore_hdus=['SCI', 'ASDF'])
assert not any(diff.diff_hdus), diff.report()
assert any(diff.diff_hdu_count), diff.report()
def test_ignore_table_fields(self):
c1 = Column('A', format='L', array=[True, False])
c2 = Column('B', format='X', array=[[0], [1]])
c3 = Column('C', format='4I', dim='(2, 2)',
array=[[0, 1, 2, 3], [4, 5, 6, 7]])
c4 = Column('B', format='X', array=[[1], [0]])
c5 = Column('C', format='4I', dim='(2, 2)',
array=[[1, 2, 3, 4], [5, 6, 7, 8]])
ta = BinTableHDU.from_columns([c1, c2, c3])
tb = BinTableHDU.from_columns([c1, c4, c5])
diff = TableDataDiff(ta.data, tb.data, ignore_fields=['B', 'C'])
assert diff.identical
# The only common column should be c1
assert len(diff.common_columns) == 1
assert diff.common_column_names == {'a'}
assert diff.diff_ratio == 0
assert diff.diff_total == 0
def test_ignore_table_fields(self):
c1 = Column('A', format='L', array=[True, False])
c2 = Column('B', format='X', array=[[0], [1]])
c3 = Column('C', format='4I', dim='(2, 2)',
array=[[0, 1, 2, 3], [4, 5, 6, 7]])
c4 = Column('B', format='X', array=[[1], [0]])
c5 = Column('C', format='4I', dim='(2, 2)',
array=[[1, 2, 3, 4], [5, 6, 7, 8]])
ta = BinTableHDU.from_columns([c1, c2, c3])
tb = BinTableHDU.from_columns([c1, c4, c5])
diff = TableDataDiff(ta.data, tb.data, ignore_fields=['B', 'C'])
assert diff.identical
# The only common column should be c1
assert len(diff.common_columns) == 1
assert diff.common_column_names == {'a'}
assert diff.diff_ratio == 0
assert diff.diff_total == 0
def test_identical_tables(self):
c1 = Column('A', format='L', array=[True, False])
c2 = Column('B', format='X', array=[[0], [1]])
c3 = Column('C', format='4I', dim='(2, 2)',
array=[[0, 1, 2, 3], [4, 5, 6, 7]])
c4 = Column('D', format='J', bscale=2.0, array=[0, 1])
c5 = Column('E', format='A3', array=['abc', 'def'])
c6 = Column('F', format='E', unit='m', array=[0.0, 1.0])
c7 = Column('G', format='D', bzero=-0.1, array=[0.0, 1.0])
c8 = Column('H', format='C', array=[0.0+1.0j, 2.0+3.0j])
c9 = Column('I', format='M', array=[4.0+5.0j, 6.0+7.0j])
c10 = Column('J', format='PI(2)', array=[[0, 1], [2, 3]])
columns = [c1, c2, c3, c4, c5, c6, c7, c8, c9, c10]
ta = BinTableHDU.from_columns(columns)
tb = BinTableHDU.from_columns([c.copy() for c in columns])
diff = TableDataDiff(ta.data, tb.data)
assert diff.identical
assert len(diff.common_columns) == 10
assert diff.common_column_names == set('abcdefghij')
assert diff.diff_ratio == 0
assert diff.diff_total == 0
def test_identical_tables(self):
c1 = Column('A', format='L', array=[True, False])
c2 = Column('B', format='X', array=[[0], [1]])
c3 = Column('C', format='4I', dim='(2, 2)',
array=[[0, 1, 2, 3], [4, 5, 6, 7]])
c4 = Column('D', format='J', bscale=2.0, array=[0, 1])
c5 = Column('E', format='A3', array=['abc', 'def'])
c6 = Column('F', format='E', unit='m', array=[0.0, 1.0])
c7 = Column('G', format='D', bzero=-0.1, array=[0.0, 1.0])
c8 = Column('H', format='C', array=[0.0+1.0j, 2.0+3.0j])
c9 = Column('I', format='M', array=[4.0+5.0j, 6.0+7.0j])
c10 = Column('J', format='PI(2)', array=[[0, 1], [2, 3]])
columns = [c1, c2, c3, c4, c5, c6, c7, c8, c9, c10]
ta = BinTableHDU.from_columns(columns)
tb = BinTableHDU.from_columns([c.copy() for c in columns])
diff = TableDataDiff(ta.data, tb.data)
assert diff.identical
assert len(diff.common_columns) == 10
assert diff.common_column_names == set('abcdefghij')
assert diff.diff_ratio == 0
assert diff.diff_total == 0
def test_diff_empty_tables(self):
"""
Regression test for https://aeon.stsci.edu/ssb/trac/pyfits/ticket/178
Ensure that diffing tables containing empty data doesn't crash.
"""
c1 = Column('D', format='J')
c2 = Column('E', format='J')
thdu = BinTableHDU.from_columns([c1, c2], nrows=0)
hdula = fits.HDUList([thdu])
hdulb = fits.HDUList([thdu])
diff = FITSDiff(hdula, hdulb)
assert diff.identical
def test_diff_empty_tables(self):
"""
Regression test for https://aeon.stsci.edu/ssb/trac/pyfits/ticket/178
Ensure that diffing tables containing empty data doesn't crash.
"""
c1 = Column('D', format='J')
c2 = Column('E', format='J')
thdu = BinTableHDU.from_columns([c1, c2], nrows=0)
hdula = fits.HDUList([thdu])
hdulb = fits.HDUList([thdu])
diff = FITSDiff(hdula, hdulb)
assert diff.identical
def test_different_table_data(self):
"""
Test diffing table data on columns of several different data formats
and dimensions.
"""
ca1 = Column('A', format='L', array=[True, False])
ca2 = Column('B', format='X', array=[[0], [1]])
ca3 = Column('C',
format='4I',
dim='(2, 2)',
array=[[0, 1, 2, 3], [4, 5, 6, 7]])
ca4 = Column('D', format='J', bscale=2.0, array=[0.0, 2.0])
ca5 = Column('E', format='A3', array=['abc', 'def'])
ca6 = Column('F', format='E', unit='m', array=[0.0, 1.0])
ca7 = Column('G', format='D', bzero=-0.1, array=[0.0, 1.0])
ca8 = Column('H', format='C', array=[0.0 + 1.0j, 2.0 + 3.0j])
ca9 = Column('I', format='M', array=[4.0 + 5.0j, 6.0 + 7.0j])
ca10 = Column('J', format='PI(2)', array=[[0, 1], [2, 3]])
cb1 = Column('A', format='L', array=[False, False])
cb2 = Column('B', format='X', array=[[0], [0]])
cb3 = Column('C',
format='4I',
dim='(2, 2)',
array=[[0, 1, 2, 3], [5, 6, 7, 8]])
cb4 = Column('D', format='J', bscale=2.0, array=[2.0, 2.0])
cb5 = Column('E', format='A3', array=['abc', 'ghi'])
cb6 = Column('F', format='E', unit='m', array=[1.0, 2.0])
cb7 = Column('G', format='D', bzero=-0.1, array=[2.0, 3.0])
cb8 = Column('H', format='C', array=[1.0 + 1.0j, 2.0 + 3.0j])
cb9 = Column('I', format='M', array=[5.0 + 5.0j, 6.0 + 7.0j])
cb10 = Column('J', format='PI(2)', array=[[1, 2], [3, 4]])
ta = BinTableHDU.from_columns(
[ca1, ca2, ca3, ca4, ca5, ca6, ca7, ca8, ca9, ca10])
tb = BinTableHDU.from_columns(
[cb1, cb2, cb3, cb4, cb5, cb6, cb7, cb8, cb9, cb10])
diff = TableDataDiff(ta.data, tb.data, numdiffs=20)
assert not diff.identical
# The column definitions are the same, but not the column values
assert diff.diff_columns == ()
assert diff.diff_values[0] == (('A', 0), (True, False))
assert diff.diff_values[1] == (('B', 1), ([1], [0]))
assert diff.diff_values[2][0] == ('C', 1)
assert (diff.diff_values[2][1][0] == [[4, 5], [6, 7]]).all()
assert (diff.diff_values[2][1][1] == [[5, 6], [7, 8]]).all()
assert diff.diff_values[3] == (('D', 0), (0, 2.0))
assert diff.diff_values[4] == (('E', 1), ('def', 'ghi'))
assert diff.diff_values[5] == (('F', 0), (0.0, 1.0))
assert diff.diff_values[6] == (('F', 1), (1.0, 2.0))
assert diff.diff_values[7] == (('G', 0), (0.0, 2.0))
assert diff.diff_values[8] == (('G', 1), (1.0, 3.0))
assert diff.diff_values[9] == (('H', 0), (0.0 + 1.0j, 1.0 + 1.0j))
assert diff.diff_values[10] == (('I', 0), (4.0 + 5.0j, 5.0 + 5.0j))
assert diff.diff_values[11][0] == ('J', 0)
assert (diff.diff_values[11][1][0] == [0, 1]).all()
assert (diff.diff_values[11][1][1] == [1, 2]).all()
assert diff.diff_values[12][0] == ('J', 1)
assert (diff.diff_values[12][1][0] == [2, 3]).all()
assert (diff.diff_values[12][1][1] == [3, 4]).all()
assert diff.diff_total == 13
assert diff.diff_ratio == 0.65
report = diff.report()
assert ('Column A data differs in row 0:\n'
' a> True\n'
' b> False') in report
assert ('...and at 1 more indices.\n'
' Column D data differs in row 0:') in report
assert ('13 different table data element(s) found (65.00% different)'
in report)
assert report.count('more indices') == 1
def test_different_table_data(self):
"""
Test diffing table data on columns of several different data formats
and dimensions.
"""
ca1 = Column('A', format='L', array=[True, False])
ca2 = Column('B', format='X', array=[[0], [1]])
ca3 = Column('C', format='4I', dim='(2, 2)',
array=[[0, 1, 2, 3], [4, 5, 6, 7]])
ca4 = Column('D', format='J', bscale=2.0, array=[0.0, 2.0])
ca5 = Column('E', format='A3', array=['abc', 'def'])
ca6 = Column('F', format='E', unit='m', array=[0.0, 1.0])
ca7 = Column('G', format='D', bzero=-0.1, array=[0.0, 1.0])
ca8 = Column('H', format='C', array=[0.0+1.0j, 2.0+3.0j])
ca9 = Column('I', format='M', array=[4.0+5.0j, 6.0+7.0j])
ca10 = Column('J', format='PI(2)', array=[[0, 1], [2, 3]])
cb1 = Column('A', format='L', array=[False, False])
cb2 = Column('B', format='X', array=[[0], [0]])
cb3 = Column('C', format='4I', dim='(2, 2)',
array=[[0, 1, 2, 3], [5, 6, 7, 8]])
cb4 = Column('D', format='J', bscale=2.0, array=[2.0, 2.0])
cb5 = Column('E', format='A3', array=['abc', 'ghi'])
cb6 = Column('F', format='E', unit='m', array=[1.0, 2.0])
cb7 = Column('G', format='D', bzero=-0.1, array=[2.0, 3.0])
cb8 = Column('H', format='C', array=[1.0+1.0j, 2.0+3.0j])
cb9 = Column('I', format='M', array=[5.0+5.0j, 6.0+7.0j])
cb10 = Column('J', format='PI(2)', array=[[1, 2], [3, 4]])
ta = BinTableHDU.from_columns([ca1, ca2, ca3, ca4, ca5, ca6, ca7,
ca8, ca9, ca10])
tb = BinTableHDU.from_columns([cb1, cb2, cb3, cb4, cb5, cb6, cb7,
cb8, cb9, cb10])
diff = TableDataDiff(ta.data, tb.data, numdiffs=20)
assert not diff.identical
# The column definitions are the same, but not the column values
assert diff.diff_columns == ()
assert diff.diff_values[0] == (('A', 0), (True, False))
assert diff.diff_values[1] == (('B', 1), ([1], [0]))
assert diff.diff_values[2][0] == ('C', 1)
assert (diff.diff_values[2][1][0] == [[4, 5], [6, 7]]).all()
assert (diff.diff_values[2][1][1] == [[5, 6], [7, 8]]).all()
assert diff.diff_values[3] == (('D', 0), (0, 2.0))
assert diff.diff_values[4] == (('E', 1), ('def', 'ghi'))
assert diff.diff_values[5] == (('F', 0), (0.0, 1.0))
assert diff.diff_values[6] == (('F', 1), (1.0, 2.0))
assert diff.diff_values[7] == (('G', 0), (0.0, 2.0))
assert diff.diff_values[8] == (('G', 1), (1.0, 3.0))
assert diff.diff_values[9] == (('H', 0), (0.0+1.0j, 1.0+1.0j))
assert diff.diff_values[10] == (('I', 0), (4.0+5.0j, 5.0+5.0j))
assert diff.diff_values[11][0] == ('J', 0)
assert (diff.diff_values[11][1][0] == [0, 1]).all()
assert (diff.diff_values[11][1][1] == [1, 2]).all()
assert diff.diff_values[12][0] == ('J', 1)
assert (diff.diff_values[12][1][0] == [2, 3]).all()
assert (diff.diff_values[12][1][1] == [3, 4]).all()
assert diff.diff_total == 13
assert diff.diff_ratio == 0.65
report = diff.report()
assert ('Column A data differs in row 0:\n'
' a> True\n'
' b> False') in report
assert ('...and at 1 more indices.\n'
' Column D data differs in row 0:') in report
assert ('13 different table data element(s) found (65.00% different)'
in report)
assert report.count('more indices') == 1
