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# Licensed under a 3-clause BSD style license - see LICENSE.rst
# TEST_UNICODE_LITERALS
import sys
import numpy as np
from ...tests.helper import pytest, catch_warnings
from ... import table
from ...table import Row
from ...utils.compat import NUMPY_LT_1_8
from ...utils.exceptions import AstropyDeprecationWarning
from ...extern.six.moves import zip
from .conftest import MaskedTable
def test_masked_row_with_object_col():
"""
Numpy < 1.8 has a bug in masked array that prevents access a row if there is
a column with object type.
"""
t = table.Table([[1]], dtype=['O'], masked=True)
if NUMPY_LT_1_8:
with pytest.raises(ValueError):
t['col0'].mask = False
t[0].as_void()
with pytest.raises(ValueError):
t['col0'].mask = True
t[0].as_void()
else:
t['col0'].mask = False
assert t[0]['col0'] == 1
t['col0'].mask = True
assert t[0]['col0'] is np.ma.masked
@pytest.mark.usefixtures('table_types')
class TestRow():
def _setup(self, table_types):
self._table_type = table_types.Table
self._column_type = table_types.Column
@property
def t(self):
# py.test wants to run this method once before table_types is run
# to set Table and Column. In this case just return None, which would
# cause any downstream test to fail if this happened in any other context.
if self._column_type is None:
return None
if not hasattr(self, '_t'):
a = self._column_type(name='a', data=[1, 2, 3], dtype='i8')
b = self._column_type(name='b', data=[4, 5, 6], dtype='i8')
self._t = self._table_type([a, b])
return self._t
def test_subclass(self, table_types):
"""Row is subclass of ndarray and Row"""
self._setup(table_types)
c = Row(self.t, 2)
assert isinstance(c, Row)
def test_values(self, table_types):
"""Row accurately reflects table values and attributes"""
self._setup(table_types)
table = self.t
row = table[1]
assert row['a'] == 2
assert row['b'] == 5
assert row[0] == 2
assert row[1] == 5
assert row.meta is table.meta
assert row.colnames == table.colnames
assert row.columns is table.columns
with pytest.raises(IndexError):
row[2]
if sys.byteorder == 'little':
assert str(row.dtype) == "[('a', '<i8'), ('b', '<i8')]"
else:
assert str(row.dtype) == "[('a', '>i8'), ('b', '>i8')]"
def test_ref(self, table_types):
"""Row is a reference into original table data"""
self._setup(table_types)
table = self.t
row = table[1]
row['a'] = 10
if table_types.Table is not MaskedTable:
assert table['a'][1] == 10
def test_left_equal(self, table_types):
"""Compare a table row to the corresponding structured array row"""
self._setup(table_types)
np_t = self.t.as_array()
if table_types.Table is MaskedTable:
with pytest.raises(ValueError):
self.t[0] == np_t[0]
else:
for row, np_row in zip(self.t, np_t):
assert np.all(row == np_row)
def test_left_not_equal(self, table_types):
"""Compare a table row to the corresponding structured array row"""
self._setup(table_types)
np_t = self.t.as_array()
np_t['a'] = [0, 0, 0]
if table_types.Table is MaskedTable:
with pytest.raises(ValueError):
self.t[0] == np_t[0]
else:
for row, np_row in zip(self.t, np_t):
assert np.all(row != np_row)
def test_right_equal(self, table_types):
"""Test right equal"""
self._setup(table_types)
np_t = self.t.as_array()
if table_types.Table is MaskedTable:
with pytest.raises(ValueError):
self.t[0] == np_t[0]
else:
for row, np_row in zip(self.t, np_t):
assert np.all(np_row == row)
def test_convert_numpy_array(self, table_types):
self._setup(table_types)
d = self.t[1]
np_data = np.array(d)
if table_types.Table is not MaskedTable:
assert np.all(np_data == d.as_void())
assert np_data is not d.as_void()
assert d.colnames == list(np_data.dtype.names)
np_data = np.array(d, copy=False)
if table_types.Table is not MaskedTable:
assert np.all(np_data == d.as_void())
assert np_data is not d.as_void()
assert d.colnames == list(np_data.dtype.names)
with pytest.raises(ValueError):
np_data = np.array(d, dtype=[(str('c'), 'i8'), (str('d'), 'i8')])
def test_format_row(self, table_types):
"""Test formatting row"""
self._setup(table_types)
table = self.t
row = table[0]
assert repr(row).splitlines() == ['<{0} {1}{2}>'
.format(row.__class__.__name__,
'index=0',
' masked=True' if table.masked else ''),
' a b ',
'int64 int64',
'----- -----',
' 1 4']
assert str(row).splitlines() == [' a b ',
'--- ---',
' 1 4']
assert row._repr_html_().splitlines() == ['<{0} {1}{2}>'
.format(row.__class__.__name__,
'index=0',
' masked=True' if table.masked else ''),
'<table id="table{0}">'.format(id(table)),
'<thead><tr><th>a</th><th>b</th></tr></thead>',
'<thead><tr><th>int64</th><th>int64</th></tr></thead>',
'<tr><td>1</td><td>4</td></tr>',
'</table>']
def test_data_and_as_void(self, table_types):
"""Test the deprecated data property and as_void() method"""
self._setup(table_types)
table = self.t
row = table[0]
# row.data is now deprecated because it is slow, generic and abusable
with catch_warnings(AstropyDeprecationWarning) as warning_lines:
row_data = row.data
assert isinstance(row_data, (np.void, np.ma.mvoid))
assert warning_lines[0].category == AstropyDeprecationWarning
assert ("The data function is deprecated" in str(warning_lines[0].message))
# If masked then with no masks, issue numpy/numpy#483 should come into play.
# Make sure as_void() code is working.
row_void = row.as_void()
if table.masked:
assert isinstance(row_void, np.ma.mvoid)
else:
assert isinstance(row_void, np.void)
assert row_void['a'] == 1
assert row_void['b'] == 4
# Confirm row is a view of table but row_void is not.
table['a'][0] = -100
assert row['a'] == -100
assert row_void['a'] == 1
# Make sure it works for a table that has masked elements
if table.masked:
table['a'].mask = True
# row_void is not a view, need to re-make
assert row_void['a'] == 1
row_void = row.as_void() # but row is a view
assert row['a'] is np.ma.masked
def test_row_and_as_void_with_objects(self, table_types):
"""Test the deprecated data property and as_void() method"""
t = table_types.Table([[{'a': 1}, {'b': 2}]], names=('a',))
assert t[0][0] == {'a': 1}
assert t[0]['a'] == {'a': 1}
if NUMPY_LT_1_8 and t.masked:
# With numpy < 1.8 there is a bug setting mvoid with
# an object.
with pytest.raises(ValueError):
t[0].as_void()
else:
assert t[0].as_void()[0] == {'a': 1}
assert t[0].as_void()['a'] == {'a': 1}
def test_bounds_checking(self, table_types):
"""Row gives index error upon creation for out-of-bounds index"""
self._setup(table_types)
for ibad in (-5, -4, 3, 4):
with pytest.raises(IndexError):
self.t[ibad]
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