2018-05-12 10:51:18 +02:00
|
|
|
# -*- coding: utf-8 -*-
|
|
|
|
# Copyright (c), Sviatoslav Sydorenko <ssydoren@redhat.com> 2018
|
|
|
|
# Simplified BSD License (see licenses/simplified_bsd.txt or https://opensource.org/licenses/BSD-2-Clause)
|
|
|
|
"""Test low-level utility functions from ``module_utils.common.collections``."""
|
|
|
|
|
|
|
|
from __future__ import absolute_import, division, print_function
|
|
|
|
__metaclass__ = type
|
|
|
|
|
|
|
|
import pytest
|
|
|
|
|
|
|
|
from ansible.module_utils.common._collections_compat import Sequence
|
2018-12-18 03:10:26 +01:00
|
|
|
from ansible.module_utils.common.collections import ImmutableDict, is_iterable, is_sequence
|
2018-05-12 10:51:18 +02:00
|
|
|
|
|
|
|
|
|
|
|
class SeqStub:
|
|
|
|
"""Stub emulating a sequence type.
|
|
|
|
|
|
|
|
>>> from collections.abc import Sequence
|
|
|
|
>>> assert issubclass(SeqStub, Sequence)
|
|
|
|
>>> assert isinstance(SeqStub(), Sequence)
|
|
|
|
"""
|
|
|
|
|
|
|
|
|
|
|
|
Sequence.register(SeqStub)
|
|
|
|
|
|
|
|
|
2018-05-16 16:54:59 +02:00
|
|
|
class IteratorStub:
|
|
|
|
def __next__(self):
|
|
|
|
raise StopIteration
|
|
|
|
|
|
|
|
|
|
|
|
class IterableStub:
|
|
|
|
def __iter__(self):
|
|
|
|
return IteratorStub()
|
|
|
|
|
|
|
|
|
2018-05-12 10:51:18 +02:00
|
|
|
TEST_STRINGS = u'he', u'Україна', u'Česká republika'
|
|
|
|
TEST_STRINGS = TEST_STRINGS + tuple(s.encode('utf-8') for s in TEST_STRINGS)
|
|
|
|
|
|
|
|
TEST_ITEMS_NON_SEQUENCES = (
|
|
|
|
{}, object(), frozenset(),
|
|
|
|
4, 0.,
|
|
|
|
) + TEST_STRINGS
|
|
|
|
|
|
|
|
TEST_ITEMS_SEQUENCES = (
|
|
|
|
[], (),
|
|
|
|
SeqStub(),
|
|
|
|
)
|
|
|
|
TEST_ITEMS_SEQUENCES = TEST_ITEMS_SEQUENCES + (
|
|
|
|
# Iterable effectively containing nested random data:
|
|
|
|
TEST_ITEMS_NON_SEQUENCES,
|
|
|
|
)
|
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.parametrize('sequence_input', TEST_ITEMS_SEQUENCES)
|
|
|
|
def test_sequence_positive(sequence_input):
|
|
|
|
"""Test that non-string item sequences are identified correctly."""
|
|
|
|
assert is_sequence(sequence_input)
|
|
|
|
assert is_sequence(sequence_input, include_strings=False)
|
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.parametrize('non_sequence_input', TEST_ITEMS_NON_SEQUENCES)
|
|
|
|
def test_sequence_negative(non_sequence_input):
|
|
|
|
"""Test that non-sequences are identified correctly."""
|
|
|
|
assert not is_sequence(non_sequence_input)
|
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.parametrize('string_input', TEST_STRINGS)
|
|
|
|
def test_sequence_string_types_with_strings(string_input):
|
|
|
|
"""Test that ``is_sequence`` can separate string and non-string."""
|
|
|
|
assert is_sequence(string_input, include_strings=True)
|
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.parametrize('string_input', TEST_STRINGS)
|
|
|
|
def test_sequence_string_types_without_strings(string_input):
|
|
|
|
"""Test that ``is_sequence`` can separate string and non-string."""
|
|
|
|
assert not is_sequence(string_input, include_strings=False)
|
2018-05-16 16:54:59 +02:00
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
|
|
'seq',
|
|
|
|
([], (), {}, set(), frozenset(), IterableStub()),
|
|
|
|
)
|
|
|
|
def test_iterable_positive(seq):
|
|
|
|
assert is_iterable(seq)
|
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.parametrize(
|
|
|
|
'seq', (IteratorStub(), object(), 5, 9.)
|
|
|
|
)
|
|
|
|
def test_iterable_negative(seq):
|
|
|
|
assert not is_iterable(seq)
|
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.parametrize('string_input', TEST_STRINGS)
|
|
|
|
def test_iterable_including_strings(string_input):
|
|
|
|
assert is_iterable(string_input, include_strings=True)
|
|
|
|
|
|
|
|
|
|
|
|
@pytest.mark.parametrize('string_input', TEST_STRINGS)
|
|
|
|
def test_iterable_excluding_strings(string_input):
|
|
|
|
assert not is_iterable(string_input, include_strings=False)
|
2018-12-18 03:10:26 +01:00
|
|
|
|
|
|
|
|
|
|
|
class TestImmutableDict:
|
|
|
|
def test_scalar(self):
|
|
|
|
imdict = ImmutableDict({1: 2})
|
|
|
|
assert imdict[1] == 2
|
|
|
|
|
|
|
|
def test_string(self):
|
|
|
|
imdict = ImmutableDict({u'café': u'くらとみ'})
|
|
|
|
assert imdict[u'café'] == u'くらとみ'
|
|
|
|
|
|
|
|
def test_container(self):
|
|
|
|
imdict = ImmutableDict({(1, 2): ['1', '2']})
|
|
|
|
assert imdict[(1, 2)] == ['1', '2']
|
|
|
|
|
|
|
|
def test_from_tuples(self):
|
|
|
|
imdict = ImmutableDict((('a', 1), ('b', 2)))
|
|
|
|
assert frozenset(imdict.items()) == frozenset((('a', 1), ('b', 2)))
|
|
|
|
|
|
|
|
def test_from_kwargs(self):
|
|
|
|
imdict = ImmutableDict(a=1, b=2)
|
|
|
|
assert frozenset(imdict.items()) == frozenset((('a', 1), ('b', 2)))
|
|
|
|
|
|
|
|
def test_immutable(self):
|
|
|
|
imdict = ImmutableDict({1: 2})
|
|
|
|
|
|
|
|
with pytest.raises(TypeError) as exc_info:
|
|
|
|
imdict[1] = 3
|
|
|
|
assert exc_info.value.args[0] == "'ImmutableDict' object does not support item assignment"
|
|
|
|
|
|
|
|
with pytest.raises(TypeError) as exc_info:
|
|
|
|
imdict[5] = 3
|
|
|
|
assert exc_info.value.args[0] == "'ImmutableDict' object does not support item assignment"
|
|
|
|
|
|
|
|
def test_hashable(self):
|
|
|
|
# ImmutableDict is hashable when all of its values are hashable
|
|
|
|
imdict = ImmutableDict({u'café': u'くらとみ'})
|
|
|
|
assert hash(imdict)
|
|
|
|
|
|
|
|
def test_nonhashable(self):
|
|
|
|
# ImmutableDict is unhashable when one of its values is unhashable
|
|
|
|
imdict = ImmutableDict({u'café': u'くらとみ', 1: [1, 2]})
|
|
|
|
|
|
|
|
with pytest.raises(TypeError) as exc_info:
|
|
|
|
hash(imdict)
|
|
|
|
assert exc_info.value.args[0] == "unhashable type: 'list'"
|
|
|
|
|
|
|
|
def test_len(self):
|
|
|
|
imdict = ImmutableDict({1: 2, 'a': 'b'})
|
|
|
|
assert len(imdict) == 2
|
|
|
|
|
|
|
|
def test_repr(self):
|
|
|
|
imdict = ImmutableDict({1: 2, 'a': 'b'})
|
|
|
|
assert repr(imdict) == "ImmutableDict({1: 2, 'a': 'b'})"
|