[utils] traverse_obj: Fix more bugs
and cleanup uses of `default=[]`
Continued from b1bde57bef
This commit is contained in:
Simon Sawicki
pukkandan
parent
c0cd13fb1c
commit
6839ae1f6d
10 changed files with 84 additions and 67 deletions
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@ -2000,7 +2000,7 @@ Line 1
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# Test Ellipsis behavior
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self.assertCountEqual(traverse_obj(_TEST_DATA, ...),
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(item for item in _TEST_DATA.values() if item not in (None, [], {})),
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(item for item in _TEST_DATA.values() if item not in (None, {})),
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msg='`...` should give all non discarded values')
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self.assertCountEqual(traverse_obj(_TEST_DATA, ('urls', 0, ...)), _TEST_DATA['urls'][0].values(),
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msg='`...` selection for dicts should select all values')
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@ -2095,7 +2095,7 @@ Line 1
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msg='remove empty values when nested dict key fails')
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self.assertEqual(traverse_obj(None, {0: 'fail'}), {},
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msg='default to dict if pruned')
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self.assertEqual(traverse_obj(None, {0: 'fail'}, default=...), {},
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self.assertEqual(traverse_obj(None, {0: 'fail'}, default=...), {0: ...},
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msg='default to dict if pruned and default is given')
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self.assertEqual(traverse_obj(_TEST_DATA, {0: {0: 'fail'}}, default=...), {0: {0: ...}},
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msg='use nested `default` when nested dict key fails and `default`')
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@ -2124,34 +2124,55 @@ Line 1
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msg='if branched but not successful return `[]`, not `default`')
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self.assertEqual(traverse_obj(_DEFAULT_DATA, ('list', ...)), [],
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msg='if branched but object is empty return `[]`, not `default`')
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self.assertEqual(traverse_obj(None, ...), [],
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msg='if branched but object is `None` return `[]`, not `default`')
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self.assertEqual(traverse_obj({0: None}, (0, ...)), [],
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msg='if branched but state is `None` return `[]`, not `default`')
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branching_paths = [
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('fail', ...),
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(..., 'fail'),
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100 * ('fail',) + (...,),
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(...,) + 100 * ('fail',),
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]
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for branching_path in branching_paths:
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self.assertEqual(traverse_obj({}, branching_path), [],
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msg='if branched but state is `None`, return `[]` (not `default`)')
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self.assertEqual(traverse_obj({}, 'fail', branching_path), [],
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msg='if branching in last alternative and previous did not match, return `[]` (not `default`)')
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self.assertEqual(traverse_obj({0: 'x'}, 0, branching_path), 'x',
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msg='if branching in last alternative and previous did match, return single value')
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self.assertEqual(traverse_obj({0: 'x'}, branching_path, 0), 'x',
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msg='if branching in first alternative and non-branching path does match, return single value')
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self.assertEqual(traverse_obj({}, branching_path, 'fail'), None,
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msg='if branching in first alternative and non-branching path does not match, return `default`')
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# Testing expected_type behavior
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_EXPECTED_TYPE_DATA = {'str': 'str', 'int': 0}
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self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=str), 'str',
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msg='accept matching `expected_type` type')
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self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=int), None,
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msg='reject non matching `expected_type` type')
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self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'int', expected_type=lambda x: str(x)), '0',
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msg='transform type using type function')
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self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str',
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expected_type=lambda _: 1 / 0), None,
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msg='wrap expected_type fuction in try_call')
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self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, ..., expected_type=str), ['str'],
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msg='eliminate items that expected_type fails on')
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self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2}, expected_type=int), {0: 100},
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msg='type as expected_type should filter dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2, 2: 'None'}, expected_type=str_or_none), {0: '100', 1: '1.2'},
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msg='function as expected_type should transform dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, ({0: 1.2}, 0, {int_or_none}), expected_type=int), 1,
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msg='expected_type should not filter non final dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, {0: {0: 100, 1: 'str'}}, expected_type=int), {0: {0: 100}},
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msg='expected_type should transform deep dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, [({0: '...'}, {0: '...'})], expected_type=type(...)), [{0: ...}, {0: ...}],
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msg='expected_type should transform branched dict values')
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self.assertEqual(traverse_obj({1: {3: 4}}, [(1, 2), 3], expected_type=int), [4],
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msg='expected_type regression for type matching in tuple branching')
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self.assertEqual(traverse_obj(_TEST_DATA, ['data', ...], expected_type=int), [],
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msg='expected_type regression for type matching in dict result')
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self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=str),
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'str', msg='accept matching `expected_type` type')
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self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=int),
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None, msg='reject non matching `expected_type` type')
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self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'int', expected_type=lambda x: str(x)),
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'0', msg='transform type using type function')
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self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, 'str', expected_type=lambda _: 1 / 0),
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None, msg='wrap expected_type fuction in try_call')
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self.assertEqual(traverse_obj(_EXPECTED_TYPE_DATA, ..., expected_type=str),
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['str'], msg='eliminate items that expected_type fails on')
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self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2}, expected_type=int),
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{0: 100}, msg='type as expected_type should filter dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, {0: 100, 1: 1.2, 2: 'None'}, expected_type=str_or_none),
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{0: '100', 1: '1.2'}, msg='function as expected_type should transform dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, ({0: 1.2}, 0, {int_or_none}), expected_type=int),
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1, msg='expected_type should not filter non final dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, {0: {0: 100, 1: 'str'}}, expected_type=int),
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{0: {0: 100}}, msg='expected_type should transform deep dict values')
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self.assertEqual(traverse_obj(_TEST_DATA, [({0: '...'}, {0: '...'})], expected_type=type(...)),
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[{0: ...}, {0: ...}], msg='expected_type should transform branched dict values')
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self.assertEqual(traverse_obj({1: {3: 4}}, [(1, 2), 3], expected_type=int),
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[4], msg='expected_type regression for type matching in tuple branching')
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self.assertEqual(traverse_obj(_TEST_DATA, ['data', ...], expected_type=int),
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[], msg='expected_type regression for type matching in dict result')
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# Test get_all behavior
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_GET_ALL_DATA = {'key': [0, 1, 2]}
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@ -383,7 +383,7 @@ class FragmentFD(FileDownloader):
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max_workers = self.params.get('concurrent_fragment_downloads', 1)
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if max_progress > 1:
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self._prepare_multiline_status(max_progress)
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is_live = any(traverse_obj(args, (..., 2, 'is_live'), default=[]))
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is_live = any(traverse_obj(args, (..., 2, 'is_live')))
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def thread_func(idx, ctx, fragments, info_dict, tpe):
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ctx['max_progress'] = max_progress
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@ -416,7 +416,7 @@ class AbemaTVIE(AbemaTVBaseIE):
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f'https://api.abema.io/v1/video/programs/{video_id}', video_id,
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note='Checking playability',
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headers=headers)
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ondemand_types = traverse_obj(api_response, ('terms', ..., 'onDemandType'), default=[])
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ondemand_types = traverse_obj(api_response, ('terms', ..., 'onDemandType'))
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if 3 not in ondemand_types:
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# cannot acquire decryption key for these streams
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self.report_warning('This is a premium-only stream')
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@ -489,7 +489,7 @@ class AbemaTVTitleIE(AbemaTVBaseIE):
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})
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yield from (
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self.url_result(f'https://abema.tv/video/episode/{x}')
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for x in traverse_obj(programs, ('programs', ..., 'id'), default=[]))
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for x in traverse_obj(programs, ('programs', ..., 'id')))
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def _entries(self, playlist_id, series_version):
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return OnDemandPagedList(
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@ -48,7 +48,7 @@ class GameJoltBaseIE(InfoExtractor):
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post_hash_id, note='Downloading comments list page %d' % page)
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if not comments_data.get('comments'):
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break
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for comment in traverse_obj(comments_data, (('comments', 'childComments'), ...), expected_type=dict, default=[]):
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for comment in traverse_obj(comments_data, (('comments', 'childComments'), ...), expected_type=dict):
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yield {
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'id': comment['id'],
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'text': self._parse_content_as_text(
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@ -585,7 +585,7 @@ class IqIE(InfoExtractor):
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'langCode': self._get_cookie('lang', 'en_us'),
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'deviceId': self._get_cookie('QC005', '')
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}, fatal=False)
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ut_list = traverse_obj(vip_data, ('data', 'all_vip', ..., 'vipType'), expected_type=str_or_none, default=[])
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ut_list = traverse_obj(vip_data, ('data', 'all_vip', ..., 'vipType'), expected_type=str_or_none)
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else:
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ut_list = ['0']
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@ -617,7 +617,7 @@ class IqIE(InfoExtractor):
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self.report_warning('This preview video is limited%s' % format_field(preview_time, None, ' to %s seconds'))
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# TODO: Extract audio-only formats
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for bid in set(traverse_obj(initial_format_data, ('program', 'video', ..., 'bid'), expected_type=str_or_none, default=[])):
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for bid in set(traverse_obj(initial_format_data, ('program', 'video', ..., 'bid'), expected_type=str_or_none)):
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dash_path = dash_paths.get(bid)
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if not dash_path:
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self.report_warning(f'Unknown format id: {bid}. It is currently not being extracted')
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@ -628,7 +628,7 @@ class IqIE(InfoExtractor):
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fatal=False), 'data', expected_type=dict)
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video_format = traverse_obj(format_data, ('program', 'video', lambda _, v: str(v['bid']) == bid),
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expected_type=dict, default=[], get_all=False) or {}
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expected_type=dict, get_all=False) or {}
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extracted_formats = []
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if video_format.get('m3u8Url'):
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extracted_formats.extend(self._extract_m3u8_formats(
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@ -669,7 +669,7 @@ class IqIE(InfoExtractor):
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})
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formats.extend(extracted_formats)
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for sub_format in traverse_obj(initial_format_data, ('program', 'stl', ...), expected_type=dict, default=[]):
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for sub_format in traverse_obj(initial_format_data, ('program', 'stl', ...), expected_type=dict):
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lang = self._LID_TAGS.get(str_or_none(sub_format.get('lid')), sub_format.get('_name'))
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subtitles.setdefault(lang, []).extend([{
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'ext': format_ext,
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@ -412,7 +412,7 @@ class PanoptoIE(PanoptoBaseIE):
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return {
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'id': video_id,
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'title': delivery.get('SessionName'),
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'cast': traverse_obj(delivery, ('Contributors', ..., 'DisplayName'), default=[], expected_type=lambda x: x or None),
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'cast': traverse_obj(delivery, ('Contributors', ..., 'DisplayName'), expected_type=lambda x: x or None),
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'timestamp': session_start_time - 11640000000 if session_start_time else None,
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'duration': delivery.get('Duration'),
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'thumbnail': base_url + f'/Services/FrameGrabber.svc/FrameRedirect?objectId={video_id}&mode=Delivery&random={random()}',
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@ -563,7 +563,7 @@ class PanoptoListIE(PanoptoBaseIE):
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base_url, '/Services/Data.svc/GetFolderInfo', folder_id,
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data={'folderID': folder_id}, fatal=False)
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return {
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'title': get_first(response, 'Name', default=[])
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'title': get_first(response, 'Name')
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}
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def _real_extract(self, url):
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@ -310,7 +310,7 @@ class PatreonIE(PatreonBaseIE):
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f'posts/{post_id}/comments', post_id, query=params, note='Downloading comments page %d' % page)
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cursor = None
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for comment in traverse_obj(response, (('data', ('included', lambda _, v: v['type'] == 'comment')), ...), default=[]):
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for comment in traverse_obj(response, (('data', ('included', lambda _, v: v['type'] == 'comment')), ...)):
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count += 1
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comment_id = comment.get('id')
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attributes = comment.get('attributes') or {}
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@ -285,7 +285,7 @@ class TikTokBaseIE(InfoExtractor):
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user_url = self._UPLOADER_URL_FORMAT % (traverse_obj(author_info,
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'sec_uid', 'id', 'uid', 'unique_id',
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expected_type=str_or_none, get_all=False))
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labels = traverse_obj(aweme_detail, ('hybrid_label', ..., 'text'), expected_type=str, default=[])
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labels = traverse_obj(aweme_detail, ('hybrid_label', ..., 'text'), expected_type=str)
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contained_music_track = traverse_obj(
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music_info, ('matched_song', 'title'), ('matched_pgc_sound', 'title'), expected_type=str)
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@ -355,7 +355,7 @@ class TikTokBaseIE(InfoExtractor):
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'ext': 'mp4',
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'width': width,
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'height': height,
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} for url in traverse_obj(play_url, (..., 'src'), expected_type=url_or_none, default=[]) if url]
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} for url in traverse_obj(play_url, (..., 'src'), expected_type=url_or_none) if url]
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download_url = url_or_none(video_info.get('downloadAddr')) or traverse_obj(video_info, ('download', 'url'), expected_type=url_or_none)
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if download_url:
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@ -745,7 +745,7 @@ class YoutubeBaseInfoExtractor(InfoExtractor):
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}
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badges = []
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for badge in traverse_obj(renderer, ('badges', ..., 'metadataBadgeRenderer'), default=[]):
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for badge in traverse_obj(renderer, ('badges', ..., 'metadataBadgeRenderer')):
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badge_type = (
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privacy_icon_map.get(traverse_obj(badge, ('icon', 'iconType'), expected_type=str))
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or badge_style_map.get(traverse_obj(badge, 'style'))
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@ -785,7 +785,7 @@ class YoutubeBaseInfoExtractor(InfoExtractor):
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runs = item
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runs = runs[:min(len(runs), max_runs or len(runs))]
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text = ''.join(traverse_obj(runs, (..., 'text'), expected_type=str, default=[]))
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text = ''.join(traverse_obj(runs, (..., 'text'), expected_type=str))
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if text:
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return text
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@ -805,7 +805,7 @@ class YoutubeBaseInfoExtractor(InfoExtractor):
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"""
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thumbnails = []
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for path in path_list or [()]:
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for thumbnail in traverse_obj(data, (*variadic(path), 'thumbnails', ...), default=[]):
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for thumbnail in traverse_obj(data, (*variadic(path), 'thumbnails', ...)):
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thumbnail_url = url_or_none(thumbnail.get('url'))
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if not thumbnail_url:
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continue
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@ -2668,11 +2668,10 @@ class YoutubeIE(YoutubeBaseInfoExtractor):
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return
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_, _, prs, player_url = self._download_player_responses(url, smuggled_data, video_id, webpage_url)
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video_details = traverse_obj(
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prs, (..., 'videoDetails'), expected_type=dict, default=[])
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video_details = traverse_obj(prs, (..., 'videoDetails'), expected_type=dict)
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microformats = traverse_obj(
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prs, (..., 'microformat', 'playerMicroformatRenderer'),
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expected_type=dict, default=[])
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expected_type=dict)
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_, live_status, _, formats, _ = self._list_formats(video_id, microformats, video_details, prs, player_url)
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is_live = live_status == 'is_live'
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start_time = time.time()
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@ -3173,7 +3172,7 @@ class YoutubeIE(YoutubeBaseInfoExtractor):
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content_list = traverse_obj(
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data,
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('engagementPanels', ..., 'engagementPanelSectionListRenderer', 'content', 'macroMarkersListRenderer', 'contents'),
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expected_type=list, default=[])
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expected_type=list)
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chapter_time = lambda chapter: parse_duration(self._get_text(chapter, 'timeDescription'))
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chapter_title = lambda chapter: self._get_text(chapter, 'title')
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@ -3450,7 +3449,7 @@ class YoutubeIE(YoutubeBaseInfoExtractor):
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if traverse_obj(player_response, ('playabilityStatus', 'desktopLegacyAgeGateReason')):
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return True
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reasons = traverse_obj(player_response, ('playabilityStatus', ('status', 'reason')), default=[])
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reasons = traverse_obj(player_response, ('playabilityStatus', ('status', 'reason')))
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AGE_GATE_REASONS = (
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'confirm your age', 'age-restricted', 'inappropriate', # reason
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'age_verification_required', 'age_check_required', # status
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@ -3606,7 +3605,7 @@ class YoutubeIE(YoutubeBaseInfoExtractor):
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'audio_quality_ultralow', 'audio_quality_low', 'audio_quality_medium', 'audio_quality_high', # Audio only formats
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'small', 'medium', 'large', 'hd720', 'hd1080', 'hd1440', 'hd2160', 'hd2880', 'highres'
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])
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streaming_formats = traverse_obj(streaming_data, (..., ('formats', 'adaptiveFormats'), ...), default=[])
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streaming_formats = traverse_obj(streaming_data, (..., ('formats', 'adaptiveFormats'), ...))
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for fmt in streaming_formats:
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if fmt.get('targetDurationSec'):
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@ -3872,7 +3871,7 @@ class YoutubeIE(YoutubeBaseInfoExtractor):
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else 'was_live' if live_content
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else 'not_live' if False in (is_live, live_content)
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else None)
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streaming_data = traverse_obj(player_responses, (..., 'streamingData'), default=[])
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streaming_data = traverse_obj(player_responses, (..., 'streamingData'))
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*formats, subtitles = self._extract_formats_and_subtitles(streaming_data, video_id, player_url, live_status, duration)
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return live_broadcast_details, live_status, streaming_data, formats, subtitles
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@ -3887,7 +3886,7 @@ class YoutubeIE(YoutubeBaseInfoExtractor):
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webpage, master_ytcfg, player_responses, player_url = self._download_player_responses(url, smuggled_data, video_id, webpage_url)
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playability_statuses = traverse_obj(
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player_responses, (..., 'playabilityStatus'), expected_type=dict, default=[])
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player_responses, (..., 'playabilityStatus'), expected_type=dict)
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trailer_video_id = get_first(
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playability_statuses,
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@ -3900,11 +3899,10 @@ class YoutubeIE(YoutubeBaseInfoExtractor):
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search_meta = ((lambda x: self._html_search_meta(x, webpage, default=None))
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if webpage else (lambda x: None))
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video_details = traverse_obj(
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player_responses, (..., 'videoDetails'), expected_type=dict, default=[])
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video_details = traverse_obj(player_responses, (..., 'videoDetails'), expected_type=dict)
|
||||
microformats = traverse_obj(
|
||||
player_responses, (..., 'microformat', 'playerMicroformatRenderer'),
|
||||
expected_type=dict, default=[])
|
||||
expected_type=dict)
|
||||
|
||||
translated_title = self._get_text(microformats, (..., 'title'))
|
||||
video_title = (self._preferred_lang and translated_title
|
||||
|
|
@ -4110,10 +4108,10 @@ class YoutubeIE(YoutubeBaseInfoExtractor):
|
|||
# Converted into dicts to remove duplicates
|
||||
captions = {
|
||||
get_lang_code(sub): sub
|
||||
for sub in traverse_obj(pctr, (..., 'captionTracks', ...), default=[])}
|
||||
for sub in traverse_obj(pctr, (..., 'captionTracks', ...))}
|
||||
translation_languages = {
|
||||
lang.get('languageCode'): self._get_text(lang.get('languageName'), max_runs=1)
|
||||
for lang in traverse_obj(pctr, (..., 'translationLanguages', ...), default=[])}
|
||||
for lang in traverse_obj(pctr, (..., 'translationLanguages', ...))}
|
||||
|
||||
def process_language(container, base_url, lang_code, sub_name, query):
|
||||
lang_subs = container.setdefault(lang_code, [])
|
||||
|
|
@ -4267,9 +4265,8 @@ class YoutubeIE(YoutubeBaseInfoExtractor):
|
|||
list) or []):
|
||||
tbrs = variadic(
|
||||
traverse_obj(
|
||||
tlb, 'toggleButtonRenderer',
|
||||
('segmentedLikeDislikeButtonRenderer', ..., 'toggleButtonRenderer'),
|
||||
default=[]))
|
||||
tlb, ('toggleButtonRenderer', ...),
|
||||
('segmentedLikeDislikeButtonRenderer', ..., 'toggleButtonRenderer')))
|
||||
for tbr in tbrs:
|
||||
for getter, regex in [(
|
||||
lambda x: x['defaultText']['accessibility']['accessibilityData'],
|
||||
|
|
|
|||
|
|
@ -5420,7 +5420,7 @@ def traverse_obj(
|
|||
Each of the provided `paths` is tested and the first producing a valid result will be returned.
|
||||
The next path will also be tested if the path branched but no results could be found.
|
||||
Supported values for traversal are `Mapping`, `Sequence` and `re.Match`.
|
||||
Unhelpful values (`[]`, `{}`, `None`) are treated as the absence of a value and discarded.
|
||||
Unhelpful values (`{}`, `None`) are treated as the absence of a value and discarded.
|
||||
|
||||
The paths will be wrapped in `variadic`, so that `'key'` is conveniently the same as `('key', )`.
|
||||
|
||||
|
|
@ -5484,7 +5484,7 @@ def traverse_obj(
|
|||
branching = False
|
||||
result = None
|
||||
|
||||
if obj is None:
|
||||
if obj is None and traverse_string:
|
||||
pass
|
||||
|
||||
elif key is None:
|
||||
|
|
@ -5558,14 +5558,13 @@ def traverse_obj(
|
|||
result = next((v for k, v in obj.groupdict().items() if casefold(k) == key), None)
|
||||
|
||||
elif isinstance(key, (int, slice)):
|
||||
if not is_sequence(obj):
|
||||
if traverse_string:
|
||||
with contextlib.suppress(IndexError):
|
||||
result = str(obj)[key]
|
||||
else:
|
||||
if is_sequence(obj):
|
||||
branching = isinstance(key, slice)
|
||||
with contextlib.suppress(IndexError):
|
||||
result = obj[key]
|
||||
elif traverse_string:
|
||||
with contextlib.suppress(IndexError):
|
||||
result = str(obj)[key]
|
||||
|
||||
return branching, result if branching else (result,)
|
||||
|
||||
|
|
@ -5617,7 +5616,7 @@ def traverse_obj(
|
|||
|
||||
def _traverse_obj(obj, path, allow_empty, test_type):
|
||||
results, has_branched, is_dict = apply_path(obj, path, test_type)
|
||||
results = LazyList(item for item in results if item not in (None, [], {}))
|
||||
results = LazyList(item for item in results if item not in (None, {}))
|
||||
if get_all and has_branched:
|
||||
if results:
|
||||
return results.exhaust()
|
||||
|
|
|
|||
Loading…
Reference in a new issue