Allows you to benchmark

src/bench "150 tunney's pasture driveway, ottawa, on, canada" "en"

Tests against a TSV dataset (where everything is split)

./address_parser_test /srv/docker/jupyternotebook-gis/notebooks/tmp/libpostal-training-data/data/libpostal/address.tsv

Guess what language the input string is

./language_classifier /srv/docker/jupyternotebook-gis/notebooks/tmp/libpostal-training-data/libpostal-data/libpostal/language_classifier "10e rang"

./libpostal "place Monseigneur-C.-E.-Bourgeois"

from postal.parser import parse_address
parse_address('150 tunneys pasture driveway, ottawa, on', 'en', 'ca')

import postal

# There's plenty of options for expand address.
postal.expand.expand_address('150 tunneys pasture dr', languages=('en'))