from inspect import signature
from warnings import warn
from os.path import join
from lingua_franca.bracket_expansion import SentenceTreeParser
from lingua_franca.internal import localized_function, \
populate_localized_function_dict, get_active_langs, \
get_full_lang_code, get_default_lang, get_default_loc, \
is_supported_full_lang, _raise_unsupported_language, \
UnsupportedLanguageError, NoneLangWarning, InvalidLangWarning, \
FunctionNotLocalizedError
_REGISTERED_FUNCTIONS = ("nice_number", "nice_time", "pronounce_number",
"nice_response", "nice_duration")
populate_localized_function_dict("format", langs=get_active_langs())
def _translate_word(name, lang=''):
""" Helper to get word translations
Args:
name (str): Word name. Returned as the default value if not translated
lang (str): Language code, e.g. "en-us"
Returns:
str: translated version of resource name
"""
from lingua_franca.internal import resolve_resource_file
if not lang:
if lang is None:
# See the License for the specific language governing permissions and
# limitations under the License.
#
from difflib import SequenceMatcher
from warnings import warn
from lingua_franca.time import now_local
from lingua_franca.internal import populate_localized_function_dict, \
get_active_langs, get_full_lang_code, get_primary_lang_code, \
get_default_lang, localized_function, _raise_unsupported_language
_REGISTERED_FUNCTIONS = ("extract_numbers", "extract_number",
"extract_duration", "extract_datetime", "normalize",
"get_gender", "is_fractional", "is_ordinal")
populate_localized_function_dict("parse", langs=get_active_langs())
def fuzzy_match(x, against):
"""Perform a 'fuzzy' comparison between two strings.
Returns:
float: match percentage -- 1.0 for perfect match,
down to 0.0 for no match at all.
"""
return SequenceMatcher(None, x, against).ratio()
def match_one(query, choices):
"""
Find best match from a list or dictionary given an input