# Licensed under a 3-clause BSD style license - see LICENSE.rst """ All of the pytest fixtures used by astropy.table are defined here. `conftest.py` is a "special" module name for pytest that is always imported, but is not looked in for tests, and it is the recommended place to put fixtures that are shared between modules. These fixtures can not be defined in a module by a different name and still be shared between modules. """ from copy import deepcopy from collections import OrderedDict import pickle import pytest import numpy as np from astropy import table from astropy.table import Table, QTable from astropy.table.table_helpers import ArrayWrapper from astropy import time from astropy import units as u from astropy import coordinates from astropy.table import pprint @pytest.fixture(params=[table.Column, table.MaskedColumn]) def Column(request): # Fixture to run all the Column tests for both an unmasked (ndarray) # and masked (MaskedArray) column. return request.param class MaskedTable(table.Table): def __init__(self, *args, **kwargs): kwargs['masked'] = True table.Table.__init__(self, *args, **kwargs) class MyRow(table.Row): pass class MyColumn(table.Column): pass class MyMaskedColumn(table.MaskedColumn): pass class MyTableColumns(table.TableColumns): pass class MyTableFormatter(pprint.TableFormatter): pass class MyTable(table.Table): Row = MyRow Column = MyColumn MaskedColumn = MyMaskedColumn TableColumns = MyTableColumns TableFormatter = MyTableFormatter # Fixture to run all the Column tests for both an unmasked (ndarray) # and masked (MaskedArray) column. @pytest.fixture(params=['unmasked', 'masked', 'subclass']) def table_types(request): class TableTypes: def __init__(self, request): if request.param == 'unmasked': self.Table = table.Table self.Column = table.Column elif request.param == 'masked': self.Table = MaskedTable self.Column = table.MaskedColumn elif request.param == 'subclass': self.Table = MyTable self.Column = MyColumn return TableTypes(request) # Fixture to run all the Column tests for both an unmasked (ndarray) # and masked (MaskedArray) column. @pytest.fixture(params=[False, True]) def table_data(request): class TableData: def __init__(self, request): self.Table = MaskedTable if request.param else table.Table self.Column = table.MaskedColumn if request.param else table.Column self.COLS = [ self.Column(name='a', data=[1, 2, 3], description='da', format='%i', meta={'ma': 1}, unit='ua'), self.Column(name='b', data=[4, 5, 6], description='db', format='%d', meta={'mb': 1}, unit='ub'), self.Column(name='c', data=[7, 8, 9], description='dc', format='%f', meta={'mc': 1}, unit='ub')] self.DATA = self.Table(self.COLS) return TableData(request) class SubclassTable(table.Table): pass @pytest.fixture(params=[True, False]) def tableclass(request): return table.Table if request.param else SubclassTable @pytest.fixture(params=list(range(0, pickle.HIGHEST_PROTOCOL + 1))) def protocol(request): """ Fixture to run all the tests for all available pickle protocols. """ return request.param # Fixture to run all tests for both an unmasked (ndarray) and masked # (MaskedArray) column. @pytest.fixture(params=[False, True]) def table_type(request): return MaskedTable if request.param else table.Table # Stuff for testing mixin columns MIXIN_COLS = {'quantity': [0, 1, 2, 3] * u.m, 'longitude': coordinates.Longitude([0., 1., 5., 6.] * u.deg, wrap_angle=180. * u.deg), 'latitude': coordinates.Latitude([5., 6., 10., 11.] * u.deg), 'time': time.Time([2000, 2001, 2002, 2003], format='jyear'), 'timedelta': time.TimeDelta([1, 2, 3, 4], format='jd'), 'skycoord': coordinates.SkyCoord(ra=[0, 1, 2, 3] * u.deg, dec=[0, 1, 2, 3] * u.deg), 'sphericalrep': coordinates.SphericalRepresentation( [0, 1, 2, 3]*u.deg, [0, 1, 2, 3]*u.deg, 1*u.kpc), 'cartesianrep': coordinates.CartesianRepresentation( [0, 1, 2, 3]*u.pc, [4, 5, 6, 7]*u.pc, [9, 8, 8, 6]*u.pc), 'sphericaldiff': coordinates.SphericalCosLatDifferential( [0, 1, 2, 3]*u.mas/u.yr, [0, 1, 2, 3]*u.mas/u.yr, 10*u.km/u.s), 'arraywrap': ArrayWrapper([0, 1, 2, 3]), 'arrayswap': ArrayWrapper(np.arange(4, dtype='i').byteswap().newbyteorder()), 'ndarraylil': np.array([(7, 'a'), (8, 'b'), (9, 'c'), (9, 'c')], dtype='