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[utils] traverse_obj: Fix more bugs

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and cleanup uses of `default=[]`

Continued from b1bde57bef
This commit is contained in:
Simon Sawicki
2023-02-10 03:56:26 +05:30
committed by pukkandan
parent c0cd13fb1c
commit 6839ae1f6d
10 changed files with 84 additions and 67 deletions
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75
test/test_utils.py
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@ -2000,7 +2000,7 @@ Line 1
# Test Ellipsis behavior
self.assertCountEqual(traverse_obj(_TEST_DATA, ...),
(item for item in _TEST_DATA.values() if item not in (None, [], {})),
(item for item in _TEST_DATA.values() if item not in (None, {})),
msg='`...` should give all non discarded values')
self.assertCountEqual(traverse_obj(_TEST_DATA, ('urls', 0, ...)), _TEST_DATA['urls'][0].values(),
msg='`...` selection for dicts should select all values')
@ -2095,7 +2095,7 @@ Line 1
msg='remove empty values when nested dict key fails')
self.assertEqual(traverse_obj(None, {0: 'fail'}), {},
msg='default to dict if pruned')
self.assertEqual(traverse_obj(None, {0: 'fail'}, default=...), {},
self.assertEqual(traverse_obj(None, {0: 'fail'}, default=...), {0: ...},
msg='default to dict if pruned and default is given')
self.assertEqual(traverse_obj(_TEST_DATA, {0: {0: 'fail'}}, default=...), {0: {0: ...}},
msg='use nested `default` when nested dict key fails and `default`')
@ -2124,34 +2124,55 @@ Line 1
msg='if branched but not successful return `[]`, not `default`')
self.assertEqual(traverse_obj(_DEFAULT_DATA, ('list', ...)), [],
msg='if branched but object is empty return `[]`, not `default`')
self.assertEqual(traverse_obj(None, ...), [],
msg='if branched but object is `None` return `[]`, not `default`')
self.assertEqual(traverse_obj({0: None}, (0, ...)), [],
msg='if branched but state is `None` return `[]`, not `default`')
branching_paths = [
('fail', ...),
(..., 'fail'),
100 * ('fail',) + (...,),
(...,) + 100 * ('fail',),
]
for branching_path in branching_paths:
self.assertEqual(traverse_obj({}, branching_path), [],
msg='if branched but state is `None`, return `[]` (not `default`)')
self.assertEqual(traverse_obj({}, 'fail', branching_path), [],
msg='if branching in last alternative and previous did not match, return `[]` (not `default`)')
self.assertEqual(traverse_obj({0: 'x'}, 0, branching_path), 'x',
msg='if branching in last alternative and previous did match, return single value')
self.assertEqual(traverse_obj({0: 'x'}, branching_path, 0), 'x',
msg='if branching in first alternative and non-branching path does match, return single value')
self.assertEqual(traverse_obj({}, branching_path, 'fail'), None,
msg='if branching in first alternative and non-branching path does not match, return `default`')
# Testing expected_type behavior
_EXPECTED_TYPE_DATA = {'str': 'str', 'int': 0}
self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=str), 'str',
msg='accept matching `expected_type` type')
self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=int), None,
msg='reject non matching `expected_type` type')
self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'int', expected_type=lambda x: str(x)), '0',
msg='transform type using type function')
self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str',
expected_type=lambda _: 1 / 0), None,
msg='wrap expected_type fuction in try_call')
self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, ..., expected_type=str), ['str'],
msg='eliminate items that expected_type fails on')
self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2}, expected_type=int), {0: 100},
msg='type as expected_type should filter dict values')
self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2, 2: 'None'}, expected_type=str_or_none), {0: '100', 1: '1.2'},
msg='function as expected_type should transform dict values')
self.assertEqual(traverse_obj(_TEST_DATA, ({0: 1.2}, 0, {int_or_none}), expected_type=int), 1,
msg='expected_type should not filter non final dict values')
self.assertEqual(traverse_obj(_TEST_DATA, {0: {0: 100, 1: 'str'}}, expected_type=int), {0: {0: 100}},
msg='expected_type should transform deep dict values')
self.assertEqual(traverse_obj(_TEST_DATA, [({0: '...'}, {0: '...'})], expected_type=type(...)), [{0: ...}, {0: ...}],
msg='expected_type should transform branched dict values')
self.assertEqual(traverse_obj({1: {3: 4}}, [(1, 2), 3], expected_type=int), [4],
msg='expected_type regression for type matching in tuple branching')
self.assertEqual(traverse_obj(_TEST_DATA, ['data', ...], expected_type=int), [],
msg='expected_type regression for type matching in dict result')
self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=str),
'str', msg='accept matching `expected_type` type')
self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=int),
None, msg='reject non matching `expected_type` type')
self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'int', expected_type=lambda x: str(x)),
'0', msg='transform type using type function')
self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=lambda _: 1 / 0),
None, msg='wrap expected_type fuction in try_call')
self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, ..., expected_type=str),
['str'], msg='eliminate items that expected_type fails on')
self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2}, expected_type=int),
{0: 100}, msg='type as expected_type should filter dict values')
self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2, 2: 'None'}, expected_type=str_or_none),
{0: '100', 1: '1.2'}, msg='function as expected_type should transform dict values')
self.assertEqual(traverse_obj(_TEST_DATA, ({0: 1.2}, 0, {int_or_none}), expected_type=int),
1, msg='expected_type should not filter non final dict values')
self.assertEqual(traverse_obj(_TEST_DATA, {0: {0: 100, 1: 'str'}}, expected_type=int),
{0: {0: 100}}, msg='expected_type should transform deep dict values')
self.assertEqual(traverse_obj(_TEST_DATA, [({0: '...'}, {0: '...'})], expected_type=type(...)),
[{0: ...}, {0: ...}], msg='expected_type should transform branched dict values')
self.assertEqual(traverse_obj({1: {3: 4}}, [(1, 2), 3], expected_type=int),
[4], msg='expected_type regression for type matching in tuple branching')
self.assertEqual(traverse_obj(_TEST_DATA, ['data', ...], expected_type=int),
[], msg='expected_type regression for type matching in dict result')
# Test get_all behavior
_GET_ALL_DATA = {'key': [0, 1, 2]}