def test_deep_update_dict(self):
default = {'one': 1, 'two': 2, 'three': {'four': 4, 'five': 5}}
utils.deep_update_dict(default, {'one': 'a', 'three': {'four': 'b'}})
assert_equal(default['one'], 'a')
assert_equal(default['two'], 2)
assert_equal(type(default['three']), dict)
assert_equal(default['three']['four'], 'b')
assert_equal(default['three']['five'], 5)
def match(fullname1, fullname2, strictness="default", options=None):
"""
Takes two names and returns true if they describe the same person.
:param string fullname1: first human name
:param string fullname2: second human name
:param string strictness: strictness settings to use
:param dict options: custom strictness settings updates
:return bool: the names match
"""
if options is not None:
settings = deepcopy(SETTINGS[strictness])
deep_update_dict(settings, options)
else:
settings = SETTINGS[strictness]
n1 = Name(fullname1)
n2 = Name(fullname2)
return n1.deep_compare(n2, settings)
def match(fullname1, fullname2, strictness='default', options=None):
"""
Takes two names and returns true if they describe the same person.
:param string fullname1: first human name
:param string fullname2: second human name
:param string strictness: strictness settings to use
:param dict options: custom strictness settings updates
:return bool: the names match
"""
if options is not None:
settings = deepcopy(SETTINGS[strictness])
deep_update_dict(settings, options)
else:
settings = SETTINGS[strictness]
name1 = Name(fullname1)
name2 = Name(fullname2)
return name1.deep_compare(name2, settings)
def ratio(fullname1, fullname2, strictness="default", options=None):
"""
Takes two names and returns true if they describe the same person.
Uses difflib's sequence matching on a per-field basis for names
:param string fullname1: first human name
:param string fullname2: second human name
:param string strictness: strictness settings to use
:param dict options: custom strictness settings updates
:return int: sequence ratio match (out of 100)
"""
if options is not None:
settings = deepcopy(SETTINGS[strictness])
deep_update_dict(settings, options)
else:
settings = SETTINGS[strictness]
n1 = Name(fullname1)
n2 = Name(fullname2)
return n1.ratio_deep_compare(n2, settings)
def ratio(fullname1, fullname2, strictness='default', options=None):
"""
Takes two names and returns true if they describe the same person.
Uses difflib's sequence matching on a per-field basis for names
:param string fullname1: first human name
:param string fullname2: second human name
:param string strictness: strictness settings to use
:param dict options: custom strictness settings updates
:return int: sequence ratio match (out of 100)
"""
if options is not None:
settings = deepcopy(SETTINGS[strictness])
deep_update_dict(settings, options)
else:
settings = SETTINGS[strictness]
name1 = Name(fullname1)
name2 = Name(fullname2)
return name1.ratio_deep_compare(name2, settings)
