Files
2025-09-06 22:03:29 -04:00

59 lines
2.6 KiB
Python

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.numbering import NumberedComponent, sample_alphabet, latin_alphabet
from geodata.encoding import safe_decode
from geodata.math.sampling import weighted_choice, zipfian_distribution, cdf
class Block(NumberedComponent):
max_blocks = 10
block_range = range(1, max_blocks + 1)
block_range_probs = zipfian_distribution(len(block_range), 2.0)
block_range_cdf = cdf(block_range_probs)
@classmethod
def random(cls, language, country=None):
num_type, num_type_props = cls.choose_alphanumeric_type('blocks.alphanumeric', language, country=country)
if num_type is None:
return None
if num_type == cls.NUMERIC:
number = weighted_choice(cls.block_range, cls.block_range_cdf)
return safe_decode(number)
else:
alphabet = address_config.get_property('alphabet', language, country=country, default=latin_alphabet)
alphabet_probability = address_config.get_property('alphabet_probability', language, country=country, default=None)
if alphabet_probability is not None and random.random() >= alphabet_probability:
alphabet = latin_alphabet
letter = sample_alphabet(alphabet, 2.0)
if num_type == cls.ALPHA:
return safe_decode(letter)
else:
number = weighted_choice(cls.block_range, cls.block_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, block, language, country=None):
if block is None:
return None
phrase_prob = address_config.get_property('blocks.alphanumeric_phrase_probability', language, country=country, default=0.0)
if random.random() < phrase_prob:
return cls.numeric_phrase('blocks.alphanumeric', block, language,
dictionaries=['qualifiers'], country=country)
else:
return None