diff --git a/scripts/geodata/addresses/entrances.py b/scripts/geodata/addresses/entrances.py new file mode 100644 index 00000000..6301731b --- /dev/null +++ b/scripts/geodata/addresses/entrances.py @@ -0,0 +1,51 @@ +import random +import six + +from geodata.addresses.config import address_config +from geodata.addresses.numbering import NumberedComponent +from geodata.encoding import safe_decode + +from geodata.configs.utils import nested_get +from geodata.addresses.directions import RelativeDirection +from geodata.addresses.floors import Floor +from geodata.addresses.numbering import NumberedComponent, sample_alphabet, latin_alphabet +from geodata.encoding import safe_decode +from geodata.math.sampling import weighted_choice, zipfian_distribution, cdf + + +class Entrance(NumberedComponent): + max_entrances = 10 + + entrance_range = range(1, max_entrances + 1) + entrance_range_probs = zipfian_distribution(len(entrance_range), 2.0) + entrance_range_cdf = cdf(entrance_range_probs) + + @classmethod + def random(cls, language, country=None): + num_type, num_type_props = cls.choose_alphanumeric_type('entrances.alphanumeric', language, country=country) + + if num_type == cls.NUMERIC: + number = weighted_choice(cls.entrance_range, cls.entrance_range_cdf) + return safe_decode(number) + else: + alphabet = address_config.get_property('alphabet', language, country=country, default=latin_alphabet) + letter = sample_alphabet(alphabet, 2.0) + if num_type == cls.ALPHA: + return safe_decode(letter) + else: + number = weighted_choice(cls.entrance_range, cls.entrance_range_cdf) + + whitespace_probability = float(num_type_props.get('whitespace_probability', 0.0)) + whitespace_phrase = six.u(' ') if whitespace_probability and random.random() < whitespace_probability else six.u('') + + if num_type == cls.ALPHA_PLUS_NUMERIC: + return six.u('{}{}{}').format(letter, whitespace_phrase, number) + elif num_type == cls.NUMERIC_PLUS_ALPHA: + return six.u('{}{}{}').format(number, whitespace_phrase, letter) + + @classmethod + def phrase(cls, entrance, language, country=None): + if entrance is None: + return None + return cls.numeric_phrase('entrances.alphanumeric', entrance, language, + dictionaries=['entrances'], country=country)