# Licensed under a 3-clause BSD style license - see LICENSE.rst



import pytest
import numpy as np

from astropy.nddata import FlagCollection


def test_init():
    FlagCollection(shape=(1, 2, 3))


def test_init_noshape():
    with pytest.raises(Exception) as exc:
        FlagCollection()
    assert exc.value.args[0] == ('FlagCollection should be initialized with '
                                 'the shape of the data')


def test_init_notiterable():
    with pytest.raises(Exception) as exc:
        FlagCollection(shape=1.)
    assert exc.value.args[0] == ('FlagCollection shape should be '
                                 'an iterable object')


def test_setitem():
    f = FlagCollection(shape=(1, 2, 3))
    f['a'] = np.ones((1, 2, 3)).astype(float)
    f['b'] = np.ones((1, 2, 3)).astype(int)
    f['c'] = np.ones((1, 2, 3)).astype(bool)
    f['d'] = np.ones((1, 2, 3)).astype(str)


@pytest.mark.parametrize(('value'), [1, 1., 'spam', [1, 2, 3], (1., 2., 3.)])
def test_setitem_invalid_type(value):
    f = FlagCollection(shape=(1, 2, 3))
    with pytest.raises(Exception) as exc:
        f['a'] = value
    assert exc.value.args[0] == 'flags should be given as a Numpy array'


def test_setitem_invalid_shape():
    f = FlagCollection(shape=(1, 2, 3))
    with pytest.raises(ValueError) as exc:
        f['a'] = np.ones((3, 2, 1))
    assert exc.value.args[0].startswith('flags array shape')
    assert exc.value.args[0].endswith('does not match data shape (1, 2, 3)')
