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samples. Run with `python -m pytest tests/test_normalize.py` or `python tests/test_normalize.py`."""
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
from src.normalize import (AddrNorm, NameNorm, blocking_keys, clean_text, country_key, # noqa: E402
fix_encoding, normalize_address, normalize_name, normalize_record,
transliterate_indic)
# ------------------------------------------------------------------ clean_text / encoding
def test_mojibake_and_c1():
assert fix_encoding("BLOCK Â\x80\x93 EF") == "BLOCK - EF"
assert fix_encoding("#302 Challaâ\x80\x99S Janakiram") == "#302 Challa'S Janakiram"
assert fix_encoding("D\x92accueil SARL") == "D'accueil SARL"
assert clean_text("BLOCK Â\x80\x93 EF, JOYOS HUB TOWN") == "block ef joyos hub town"
assert clean_text("Next To Dâ\x80\x99Mart") == "next to dmart"
assert "\x80" not in clean_text("GREATER KAILASH Â\x80\x93I, NEW DELHI")
def test_clean_text_accents_and_junk():
assert clean_text("XM Résorts LLC") == "xm resorts llc"
assert clean_text("Residents & Fïls EURL") == "residents and fils eurl"
assert clean_text("Technology Peregrine Trades Private Límited") == \
"technology peregrine trades private limited"
assert clean_text(">> Capital Partners [LLC]") == "capital partners llc"
assert clean_text("-- Foo Bar <<") == "foo bar"
assert clean_text("##702 FRANKLIN DR", strip_prefixes=False) == "702 franklin dr"
assert clean_text("SXZ California LLC | www.sxzcalifo.com") == "sxz california llc"
assert clean_text("M/s athang fishery (india) private limited") == \
"athang fishery india private limited"
assert clean_text("Dr VISWA TRADERS LIMITED") == "viswa traders limited"
assert clean_text("viprivate.c0m") == "viprivate"
assert clean_text("26739 Saddle Rock Lane, null, New Caney", strip_prefixes=False) == \
"26739 saddle rock lane new caney"
# '/' and '-' survive only inside digit-bearing tokens; letter hyphens are dehyphenated
assert clean_text("C-6/24/1, Safdar Jung", strip_prefixes=False) == "c-6/24/1 safdar jung"
assert clean_text("PATRIOT-MINISTRIES") == "patriot ministries"
assert clean_text("ST.-NAZAIRE") == "st nazaire"
# ------------------------------------------------------------------ names
def test_generic_append_keeps_generic_words():
a = normalize_name("Orthopedic Crystal Care Associates Co", "US")
b = normalize_name("Orthopedic Crystal Associates Co Services", "US")
assert a.legal == "co" and b.legal == "co"
assert a.core == "orthopedic crystal care associates"
assert b.core == "orthopedic crystal associates services" # 'services' kept, 'co' stripped
def test_legal_suffix_positions():
n = normalize_name("LLC Valley Lfgoy Ashford", "US")
assert n.legal == "llc" and n.core == "valley lfgoy ashford"
assert n.tokens == ["valley", "lfgoy", "ashford"]
assert normalize_name("Valley Legacy Ashford LLC", "US").core == "valley legacy ashford"
assert normalize_name("Indo Consultancy Ltd-Pvt", "India").legal == "pvt ltd"
assert normalize_name("Indo Consultancy Pvt Ltd", "India").legal == "pvt ltd"
n = normalize_name("Pvt. EFS Print Ventures Ltd.", "India")
assert (n.core, n.legal) == ("efs print ventures", "pvt ltd")
n = normalize_name("Tlc LLP Shipping", "India") # suffix moved to the middle
assert (n.core, n.legal) == ("tlc shipping", "llp")
n = normalize_name("Software Esteem Pharmaceuticals Private (Ltd)", "India")
assert (n.core, n.legal) == ("software esteem pharmaceuticals", "pvt ltd")
assert normalize_name("United Softhace [Limited]", "India").legal == "ltd"
assert normalize_name("Faia Atlantic Kodiak Incorporated", "US").legal == "inc"
assert normalize_name("Life Infotech Private", "India").core == "life infotech"
assert normalize_name("Life Infotech Private Limited", "India").core == "life infotech"
assert normalize_name("Allied Coalition ([Inc])", "US").core == "allied coalition"
assert normalize_name("LLC LLC Foo Bar", "US").legal == "llc" # doubled
# 'Private' moved to the front or scrambled next to 'Limited'
assert normalize_name("Private Asian Transcripts Ltd", "India").core == "asian transcripts"
assert normalize_name("Hari Marketing Pivaet Limited", "India").core == "hari marketing"
assert normalize_name("Golden Printers Limited", "India").core == "golden printers"
assert normalize_name("Private Wealth Group", "US").core == "private wealth group"
assert normalize_name("Marshall + Perry [Corporation]", "US").core == \
normalize_name("Marshall & Perry", "US").core
def test_legal_france():
n = normalize_name("SA Tourisme Societe Participations", "France")
assert (n.core, n.legal) == ("tourisme societe participations", "sa")
assert normalize_name("CHAMOND SANTE INTERNATIONAL SÀRL", "France").legal == "sarl"
assert normalize_name("QW SECTION S.A.S.", "France").legal == "sas"
assert normalize_name("Ex Amicale Distribution S.A.S.U.", "France").legal == "sasu"
n = normalize_name("Ets Entraide SARL", "France")
assert n.core == "entraide" and set(n.legal.split()) == {"sarl", "ets"}
assert normalize_name("Residents & Fïls EURL", "France").core == "residents and fils"
assert normalize_name("Ge Ecole [EURL]", "France").core == "ge ecole"
def test_name_noise_forms():
assert normalize_name("Royal Gcomc Works [Center]", "US").core == "royal gcomc works center"
assert normalize_name("XM Résorts LLC", "US").core == "xm resorts"
assert normalize_name("Payne Énterprises", "US").core == "payne enterprises"
assert normalize_name("Human-Rights Trust", "US").core == "human rights trust"
assert normalize_name("PIATEK LORA AND KEGLEY GLOBAL LLC", "US").core == "piatek lora and kegley global"
assert normalize_name("Piatek, Loera and Kegley Global LLC", "US").core == "piatek loera and kegley global"
assert normalize_name("6yan Solutions Company", "India").core == "gyan solutions"
assert normalize_name("Tech 50ftware", "India").core == "tech software"
assert normalize_name(">> Ear N0se & Throat Care, Inc Authority", "US").core == \
"ear nose and throat care authority"
assert normalize_name("M/s athang fishery (india) private limited", "India").core == \
"athang fishery india"
assert normalize_name("Dr VISWA TRADERS LIMITED", "India").core == "viswa traders"
assert normalize_name("Abby Defeo (ID: 1996)", "US").core == "abby defeo"
assert normalize_name("BHARDWAJ CONSULTANTS GROUP #99032", "India").core == "bhardwaj consultants group"
assert normalize_name("Fcs Trading | www.fcstradin.com", "India").core == "fcs trading"
assert normalize_name("Rochette's Peak Pub", "US").core == normalize_name("Rochette's Peak Pub", "US").core
def test_domain_and_handle_forms():
n = normalize_name("shylabrothersprivate.com", "India")
assert n.is_domain_form and n.spaceless == "shylabrothersprivate"
n = normalize_name("duttainternationalschool.com", "India")
assert n.is_domain_form and n.spaceless == normalize_name("Dutta International School", "India").spaceless
assert normalize_name("viprivate.c0m", "India").spaceless == "viprivate"
assert normalize_name("Dr mangalshreeenclave.com", "India").spaceless == "mangalshreeenclave"
assert normalize_name("CARMELSLUSSMD.COM", "US").is_domain_form
n = normalize_name("#BUSHSANTORO", "US")
assert n.is_domain_form and n.core == "bushsantoro"
assert not normalize_name("Dutta International School", "India").is_domain_form
def test_alias_forms():
n = normalize_name("Belovera Sys f/k/a Big Seafood", "US")
assert "big seafood" in n.alt_names and "belovera sys" in n.alt_names
assert n.core == "big seafood"
n = normalize_name("Nylavera+ formerly: Precision Legacy Old", "US")
assert n.core == "precision legacy old" and "nylavera" in n.alt_names
n = normalize_name("Miralum dba Optimal Freight Group", "US")
assert n.alt_names == ["miralum", "optimal freight group"]
n = normalize_name("Solfaye Sys DBA Digital Infra Private Limited", "India")
assert (n.core, n.legal) == ("digital infra", "pvt ltd")
assert normalize_name("Nexarc Formerly Novelle Hovnanian Inc", "US").core == "novelle hovnanian"
assert normalize_name("Lyrazeph formerly known as Stewart, Almendarez and Mason LLC", "US").core == \
"stewart almendarez and mason"
assert normalize_name("Verafayevera née Vauriens Comite SAS", "France").core == "vauriens comite"
# plain 'Nee' is a surname, not an alias marker; leading 'Aka' is a name word
assert normalize_name("Ashlan Nee Service", "US").alt_names == []
assert normalize_name("Aka & Frères SA", "France").alt_names == []
def test_indic_names():
n = normalize_name("श्री ऑल केयर "
"प्राइवेट लिमिटेड",
"India") # 'श्री ऑल केयर प्राइवेट लिमिटेड'
assert n.has_indic_script and n.legal == "pvt ltd" and len(n.tokens) == 3
n = normalize_name("సూర్య యునైటెడ్ "
"ఎంటర్ప్రైజెస్ "
"లిమిటెడ్", "India") # Telugu, with ZWNJ
assert n.has_indic_script and n.legal == "ltd" and "" not in n.core
assert not normalize_name("Sree All Care Private Limited", "India").has_indic_script
assert transliterate_indic("दिल्ली") is None
# ------------------------------------------------------------------ addresses
def test_us_addresses():
a = normalize_address("TX, ##702 FRANKLIN DR, ALLEN", "US")
assert a.street_number == "702" and a.state == "texas" and a.city == "allen"
assert "franklin" in a.tokens and "drive" in a.tokens
b = normalize_address("702 Franklin Drive, Allen, TX", "US")
assert set(a.tokens) == set(b.tokens) and b.city == "allen"
a = normalize_address("0400 D STREET, GALT, CA", "US")
assert a.street_number == "400" and a.state == "california" and a.city == "galt"
a = normalize_address("2103 1/2 Creekshire Dr, Sugar Land, Texas", "US")
assert a.street_number == "2103" and a.numbers == ["2103"] and "1/2" not in a.tokens
assert a.city == "sugar land"
a = normalize_address("26739 Saddle Rock Lane, null, New Caney, Texas", "US")
assert "null" not in a.tokens and a.city == "new caney" and "null" not in " ".join(a.parts)
a = normalize_address("3728 600, PO BOX 4156, ALEXANDRIA, IN", "US")
assert "4156" not in a.numbers and "box" not in a.tokens and a.state == "indiana"
assert a.city == "alexandria" and a.street_number == "3728"
a = normalize_address("Illinois, Tinley Park, 18410 Pine Cone Drive, # UNIT 4", "US")
assert a.city == "tinley park" and a.street_number == "18410" and a.state == "illinois"
a = normalize_address("15 Entin Ter, Warwick, New York", "US")
assert "terrace" in a.tokens and a.state == "new york"
a = normalize_address("3315 FREMONT SAINT, PEORIA, IL", "US") # 'Saint' noise for 'Street'
assert "street" in a.tokens and "saint" not in a.tokens
a = normalize_address("8686 Larknpur Ln, Saint John, Indiana", "US")
assert a.city == "saint john" and "lane" in a.tokens
assert normalize_address("Jenks, NULL, 225 Main Street, Oklahoma", "US").city == "jenks"
assert normalize_address("004906 161rd Ter, <NULL>, Beaverton, Oregon", "US").street_number == "4906"
# no street number: the street-type part is the street; US trailing 'City'/'CDP' noise is dropped
assert normalize_address("Texas, Missouri City, Kenforest Drive", "US").city == "missouri"
assert normalize_address("11337 TAYLOR PINES DR, MARYLAND HEIGHTS CDP, MO", "US").city == "maryland heights"
assert normalize_address("301 Ann Street, Granite CTIY, Oklahoma", "US").city == "granite"
assert normalize_address("672-676 CHESHIRE RD, OH, DELAWARE", "US").state == "ohio" # code beats city name
assert normalize_address("Racine, 1235 W Lawn Avenue, PMB 8031, Wisconsin", "US").numbers == ["1235"]
assert normalize_address("", "US") == AddrNorm()
def test_india_addresses():
a = normalize_address("H.NO 677 C-6/24/1, SAFAR JUNG DEVLP AREA, NEW DELHI, "
"दिल्ली", "India") # दिल्ली
assert a.state == "delhi" and a.street_number == "677" and a.city == "new delhi"
assert "c-6/24/1" in a.tokens and {"6", "24", "1"} <= set(a.numbers)
assert normalize_address("C-6/24/1, Safdar Jung Devlp Area, New Delhi, Delhi", "India").state == "delhi"
a = normalize_address("Hyderabad, Ameerpet, 8-3-224/8/B/27, TG", "India")
assert a.state == "telangana" and a.street_number == "8"
a = normalize_address("#16-1-4/1, Mahabubnagar H.o, Mahabub Nagar, TG", "India")
assert a.street_number == "16" and a.city == "mahabub nagar"
a = normalize_address("Taragana P.O.Pallasahi, Ichhapur, Bhadrak, Orissa", "India")
assert a.state == "odisha"
assert normalize_address("Dl-126 Basanti Colony, Rourkela, OD, Sundargarh", "India").state == "odisha"
a = normalize_address("FLAT NO:406, FLORA APRATMENTS, ROAD NO:2, BANJARA HILLS, HYDERABAD, "
"Andhra Pradesh", "India")
assert a.street_number == "406" and a.city == "hyderabad" and a.state == "andhra pradesh"
assert "no" not in a.tokens
a = normalize_address("#401 P-31 Sunder Mohan Avenue, Kolkata, Calcutta, WB", "India")
assert a.state == "west bengal" and a.tokens.count("kolkata") == 2 # legacy name folded
assert normalize_address("Megha Arcade, Bengaluru, Bangalore, KA", "India").city == "bengaluru"
a = normalize_address("Door No 301, Nashik, MH", "India")
assert a.street_number == "301" and a.state == "maharashtra"
a = normalize_address("A-153 Fourth Floor Sector-19 Dwarka, New Delhi, South West Delhi, "
"दिल्ली", "India")
assert a.street_number == "153" and "sector" in a.tokens and "19" in a.tokens
a = normalize_address("NO 516 REWA CHAMBERS31 NEW MARINE LINES, MUMBAI, Maharashtra", "India")
assert a.street_number == "516"
a = normalize_address("Sco ##8 Sandy Square Near Paras Down Town Sqauar, Zirakpur, <NULL>, PB", "India")
assert a.state == "punjab" and a.city == "zirakpur"
# every Indic state part seen in the data maps to a Latin state name
for indic, latin in [("महाराष्ट्र", "maharashtra"),
("ગુજરાત", "gujarat"),
("తెలంగాణ", "telangana"),
("ಕರ್ನಾಟಕ", "karnataka"),
("ଓଡ଼ିଶା", "odisha")]:
assert normalize_address("12 MG ROAD, PUNE, " + indic, "India").state == latin
def test_france_addresses():
a = normalize_address("63 R. DE DIEPPE, LILLE, Hauts-de-France", "France")
assert "rue" in a.tokens and a.city == "lille" and a.state == "hauts de france"
assert a.street_number == "63"
a = normalize_address("17 BIS ALLÉE CARLE VERNET, PESSAC", "France")
assert a.street_number == "17" and "allee" in a.tokens and "bis" not in a.tokens
assert a.city == "pessac"
assert normalize_address("X, ST.-NAZAIRE", "France").city == "saint nazaire"
assert normalize_address("X, ST-NAZAIRE", "France").city == "saint nazaire"
assert normalize_address("2 Allée des Magnolias, Saint-Nazaire, Pays de la Loire", "France").city == \
"saint nazaire"
a = normalize_address("3 Rue César Franck, LA TESTE DE BUCH", "France")
b = normalize_address("3 Rue César Franck, La Teste-de-Buch, Nouvelle-Aquitaine", "France")
assert a.city == b.city == "la teste de buch"
a = normalize_address("BORDEAUX, Gironde, 97 R DES ORANGERS", "France")
assert a.city == "bordeaux" and a.district == "gironde" and a.state == "" and a.street_number == "97"
a = normalize_address("27 R FERNAND MARIN, Gironde, BORDEAUX", "France")
assert a.city == "bordeaux"
a = normalize_address("N° 55 Rue Masséna, Calais, Hauts-de-France", "France")
assert a.street_number == "55" and "massena" in a.tokens and "no" not in a.tokens
a = normalize_address("Nº 50 CITÉ LAFON, BORDEAUX, Gironde", "France")
assert a.street_number == "50"
assert normalize_address("(127) RUE JEAN-RENAUD DANDICOLLE, BORDEAUX", "France").street_number == "127"
a = normalize_address("10 CH. DE LA COTONNIÈRE, LILLE", "France")
assert "chemin" in a.tokens and "cotonniere" in a.tokens
a = normalize_address("Lille, 2 Imp. Becker", "France")
assert "impasse" in a.tokens and a.city == "lille"
assert "saint" in normalize_address("Lille, Hauts-de-France, 6 PL Saint Andre", "France").tokens
a = normalize_address("8 b Avenue des Sports, Pornic, Pays de la Loire", "France")
assert a.street_number == "8" and "b" not in a.tokens
assert normalize_address("29bis R. Scribe, Nantes, Pays de la Loire", "France").street_number == "29"
a = normalize_address("Rue Darras, Lille", "France") # street number dropped by the vendor
assert a.city == "lille" and a.street == "rue darras"
# ------------------------------------------------------------------ record / blocking / countries
def test_record_and_blocking():
rec = normalize_record("Piatek, Loera and Kegley Global LLC", "702 Franklin Drive, Allen, TX", "US")
assert rec["name_legal"] == "llc" and rec["addr_city"] == "allen" and rec["country"] == "us"
assert "us|cs|allen|702" in rec["blocking_keys"]
rec2 = normalize_record("PIATEK LORA AND KEGLEY GLOBAL LLC", "TX, ##702 FRANKLIN DR, ALLEN", "US")
assert set(rec["blocking_keys"]) & set(rec2["blocking_keys"])
keys = blocking_keys(normalize_name("Belovera Sys f/k/a Big Seafood", "US"), None, "US")
assert "us|ns|bigseafood" in keys and "us|ns|beloverasys" in keys
n = normalize_name("Valley Legacy Ashford LLC", "US")
a = normalize_address("400 D Street, Unit 320, Galt, CA", "US")
assert "us|cr|galt|ashford" in blocking_keys(n, a, "US", token_df={"valley": 900, "legacy": 50, "ashford": 3})
def test_open_country_set():
assert country_key("USA") == "us" and country_key(" India ") == "india" and country_key("FRANCE") == "france"
assert country_key("Deutschland") == "deutschland"
n = normalize_name("Müller & Söhne GmbH", "Deutschland")
assert isinstance(n, NameNorm) and n.core.startswith("muller and sohne")
a = normalize_address("Hauptstraße 5, Berlin", "Deutschland")
assert a.city == "berlin" and a.state == ""
assert normalize_name("", "US") == NameNorm()
if __name__ == "__main__":
import inspect
import re as _re
src = inspect.getsource(sys.modules[__name__])
n_asserts = len(_re.findall(r"^\s+assert ", src, flags=_re.M))
tests = [(k, v) for k, v in sorted(globals().items()) if k.startswith("test_") and callable(v)]
failed = 0
for name, fn in tests:
try:
fn()
print(f"PASS {name}")
except AssertionError as e: # pragma: no cover
failed += 1
import traceback
tb = traceback.extract_tb(e.__traceback__)[-1]
print(f"FAIL {name} (line {tb.lineno}): {tb.line}")
print(f"{len(tests) - failed}/{len(tests)} tests passed, {n_asserts} assert statements")
sys.exit(1 if failed else 0)
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