def test_typed_ordered_dict(self):
self.uut = Setting('key', '1, 2: t, 3')
self.assertEqual(typed_ordered_dict(int, str, None)(self.uut),
OrderedDict([(1, None), (2, 't'), (3, None)]))
with self.assertRaises(ValueError):
self.uut = Setting('key', '1, a, 3')
typed_ordered_dict(int, str, '')(self.uut)
def test_typed_ordered_dict(self):
self.uut = Setting("key", "1, 2: t, 3")
self.assertEqual(typed_ordered_dict(int, str, None)(self.uut),
OrderedDict([(1, None), (2, "t"), (3, None)]))
with self.assertRaises(ValueError):
self.uut = Setting("key", "1, a, 3")
typed_ordered_dict(int, str, "")(self.uut)
def test_typed_ordered_dict(self):
self.uut = Setting("key", "1, 2: t, 3")
self.assertEqual(typed_ordered_dict(int, str, None)(self.uut),
OrderedDict([(1, None), (2, "t"), (3, None)]))
with self.assertRaises(ValueError):
self.uut = Setting("key", "1, a, 3")
typed_ordered_dict(int, str, "")(self.uut)
def test_typed_ordered_dict(self):
self.uut = Setting('key', '1, 2: t, 3')
self.assertEqual(
typed_ordered_dict(int, str, None)(self.uut),
OrderedDict([(1, None), (2, 't'), (3, None)]))
with self.assertRaises(ValueError):
self.uut = Setting('key', '1, a, 3')
typed_ordered_dict(int, str, '')(self.uut)
self.assertRegex(
repr(typed_ordered_dict(int, str, None)),
# Start ignoring LineLengthBear, PyCodeStyleBear
'typed_ordered_dict\\(int, str, default=None\\) at \\(0x[a-fA-F0-9]+\\)'
# Stop ignoring
)
from bears.c_languages.codeclone_detection.ClangCountVectorCreator import (
ClangCountVectorCreator)
from bears.c_languages.codeclone_detection.CloneDetectionRoutines import (
compare_functions, get_count_matrices)
from coalib.bears.GlobalBear import GlobalBear
from coalib.collecting.Collectors import collect_dirs
from coalib.misc.StringConverter import StringConverter
from coalib.results.HiddenResult import HiddenResult
from coalib.settings.Setting import path_list, typed_ordered_dict
# counting_condition_dict is a function object generated by typed_dict. This
# function takes a setting and creates a dictionary out of it while it
# converts all keys to counting condition function objects (via the
# condition_dict) and all values to floats while unset values default to 1.
counting_condition_dict = typed_ordered_dict(
lambda setting: condition_dict[str(setting).lower()],
float,
1)
default_cc_dict = counting_condition_dict(StringConverter(
"""
used: 0,
returned: 1.4,
is_condition: 0,
in_condition: 1.4,
in_second_level_condition: 1.4,
in_third_level_condition: 1.0,
is_assignee: 0,
is_assigner: 0.6,
loop_content: 0,
second_level_loop_content,
third_level_loop_content,
condition_dict)
from bears.c_languages.codeclone_detection.ClangCountVectorCreator import (
ClangCountVectorCreator)
from bears.c_languages.codeclone_detection.CloneDetectionRoutines import (
compare_functions, get_count_matrices)
from coalib.bears.GlobalBear import GlobalBear
from coalib.collecting.Collectors import collect_dirs
from coalib.misc.StringConverter import StringConverter
from coalib.results.HiddenResult import HiddenResult
from coalib.settings.Setting import path_list, typed_ordered_dict
# counting_condition_dict is a function object generated by typed_dict. This
# function takes a setting and creates a dictionary out of it while it
# converts all keys to counting condition function objects (via the
# condition_dict) and all values to floats while unset values default to 1.
counting_condition_dict = typed_ordered_dict(
lambda setting: condition_dict[str(setting).lower()], float, 1)
default_cc_dict = counting_condition_dict(
StringConverter("""
used: 0,
returned: 1.4,
is_condition: 0,
in_condition: 1.4,
in_second_level_condition: 1.4,
in_third_level_condition: 1.0,
is_assignee: 0,
is_assigner: 0.6,
loop_content: 0,
second_level_loop_content,
third_level_loop_content,
is_param: 2,
