import re
import sys
import unittest
+import warnings
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
subtitles_filename,
timeconvert,
traverse_obj,
+ try_call,
unescapeHTML,
unified_strdate,
unified_timestamp,
urlencode_postdata,
urljoin,
urshift,
+ variadic,
version_tuple,
xpath_attr,
xpath_element,
self.assertEqual(js_to_json('42a1'), '42"a1"')
self.assertEqual(js_to_json('42a-1'), '42"a"-1')
+ def test_js_to_json_template_literal(self):
+ self.assertEqual(js_to_json('`Hello ${name}`', {'name': '"world"'}), '"Hello world"')
+ self.assertEqual(js_to_json('`${name}${name}`', {'name': '"X"'}), '"XX"')
+ self.assertEqual(js_to_json('`${name}${name}`', {'name': '5'}), '"55"')
+ self.assertEqual(js_to_json('`${name}"${name}"`', {'name': '5'}), '"5\\"5\\""')
+ self.assertEqual(js_to_json('`${name}`', {}), '"name"')
+
def test_extract_attributes(self):
self.assertEqual(extract_attributes('<e x="y">'), {'x': 'y'})
self.assertEqual(extract_attributes("<e x='y'>"), {'x': 'y'})
self.assertEqual(get_compatible_ext(
vcodecs=['av1'], acodecs=['mp4a'], vexts=['webm'], aexts=['m4a'], preferences=('webm', 'mkv')), 'mkv')
+ def test_try_call(self):
+ def total(*x, **kwargs):
+ return sum(x) + sum(kwargs.values())
+
+ self.assertEqual(try_call(None), None,
+ msg='not a fn should give None')
+ self.assertEqual(try_call(lambda: 1), 1,
+ msg='int fn with no expected_type should give int')
+ self.assertEqual(try_call(lambda: 1, expected_type=int), 1,
+ msg='int fn with expected_type int should give int')
+ self.assertEqual(try_call(lambda: 1, expected_type=dict), None,
+ msg='int fn with wrong expected_type should give None')
+ self.assertEqual(try_call(total, args=(0, 1, 0, ), expected_type=int), 1,
+ msg='fn should accept arglist')
+ self.assertEqual(try_call(total, kwargs={'a': 0, 'b': 1, 'c': 0}, expected_type=int), 1,
+ msg='fn should accept kwargs')
+ self.assertEqual(try_call(lambda: 1, expected_type=dict), None,
+ msg='int fn with no expected_type should give None')
+ self.assertEqual(try_call(lambda x: {}, total, args=(42, ), expected_type=int), 42,
+ msg='expect first int result with expected_type int')
+
+ def test_variadic(self):
+ self.assertEqual(variadic(None), (None, ))
+ self.assertEqual(variadic('spam'), ('spam', ))
+ self.assertEqual(variadic('spam', allowed_types=dict), 'spam')
+ with warnings.catch_warnings():
+ warnings.simplefilter('ignore')
+ self.assertEqual(variadic('spam', allowed_types=[dict]), 'spam')
+
def test_traverse_obj(self):
_TEST_DATA = {
100: 100,
# 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')
msg='nested `...` queries should work')
self.assertCountEqual(traverse_obj(_TEST_DATA, (..., ..., 'index')), range(4),
msg='`...` query result should be flattened')
+ self.assertEqual(traverse_obj(iter(range(4)), ...), list(range(4)),
+ msg='`...` should accept iterables')
# Test function as key
self.assertEqual(traverse_obj(_TEST_DATA, lambda x, y: x == 'urls' and isinstance(y, list)),
msg='function as query key should perform a filter based on (key, value)')
self.assertCountEqual(traverse_obj(_TEST_DATA, lambda _, x: isinstance(x[0], str)), {'str'},
msg='exceptions in the query function should be catched')
+ self.assertEqual(traverse_obj(iter(range(4)), lambda _, x: x % 2 == 0), [0, 2],
+ msg='function key should accept iterables')
if __debug__:
with self.assertRaises(Exception, msg='Wrong function signature should raise in debug'):
traverse_obj(_TEST_DATA, lambda a: ...)
with self.assertRaises(Exception, msg='Sets with length != 1 should raise in debug'):
traverse_obj(_TEST_DATA, {str.upper, str})
+ # Test `slice` as a key
+ _SLICE_DATA = [0, 1, 2, 3, 4]
+ self.assertEqual(traverse_obj(_TEST_DATA, ('dict', slice(1))), None,
+ msg='slice on a dictionary should not throw')
+ self.assertEqual(traverse_obj(_SLICE_DATA, slice(1)), _SLICE_DATA[:1],
+ msg='slice key should apply slice to sequence')
+ self.assertEqual(traverse_obj(_SLICE_DATA, slice(1, 2)), _SLICE_DATA[1:2],
+ msg='slice key should apply slice to sequence')
+ self.assertEqual(traverse_obj(_SLICE_DATA, slice(1, 4, 2)), _SLICE_DATA[1:4:2],
+ msg='slice key should apply slice to sequence')
+
# Test alternative paths
self.assertEqual(traverse_obj(_TEST_DATA, 'fail', 'str'), 'str',
msg='multiple `paths` should be treated as alternative paths')
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`')
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]}
self.assertEqual(traverse_obj(_TRAVERSE_STRING_DATA, ('str', (0, 2)),
traverse_string=True), ['s', 'r'],
msg='branching should result in list if `traverse_string`')
+ self.assertEqual(traverse_obj({}, (0, ...), traverse_string=True), [],
+ msg='branching should result in list if `traverse_string`')
+ self.assertEqual(traverse_obj({}, (0, lambda x, y: True), traverse_string=True), [],
+ msg='branching should result in list if `traverse_string`')
+ self.assertEqual(traverse_obj({}, (0, slice(1)), traverse_string=True), [],
+ msg='branching should result in list if `traverse_string`')
# Test is_user_input behavior
_IS_USER_INPUT_DATA = {'range8': list(range(8))}
projects / yt-dlp.git / blobdiff