nebius/SWE-bench-extra huggingface dataset:
Repository: TTitcombe/PrivacyPanda

Issue:
Identify street name abbreviations
#6 introduced the capability to detect full street names, with street types "street", "road", "avenue", "way".

Addresses can be abbreviated e.g. 10 Downing St. instead of 10 Downing Street. Abbreviated street types should be included in an address search

Comments:

Patch:
diff --git a/.gitignore b/.gitignore
index b6e4761..28049c9 100644
--- a/.gitignore
+++ b/.gitignore
@@ -127,3 +127,6 @@ dmypy.json
 
 # Pyre type checker
 .pyre/
+
+# PrivacyPanda specifics
+images/*.svg
diff --git a/privacypanda/addresses.py b/privacypanda/addresses.py
index 53d3c82..2ec6753 100644
--- a/privacypanda/addresses.py
+++ b/privacypanda/addresses.py
@@ -20,7 +20,7 @@ UK_POSTCODE_PATTERN = re.compile(
 )
 
 # Street names
-STREET_ENDINGS = r"(street|road|way|avenue)"
+STREET_ENDINGS = r"(street|road|way|avenue|st|rd|wy|ave)"
 
 # Simple address is up to a four digit number + street name with 1-10 characters
 # + one of "road", "street", "way", "avenue"


Test patch:
diff --git a/tests/test_address_identification.py b/tests/test_address_identification.py
index f16420a..2546756 100644
--- a/tests/test_address_identification.py
+++ b/tests/test_address_identification.py
@@ -24,11 +24,17 @@ def test_can_identify_column_containing_UK_postcode(postcode):
     [
         "10 Downing Street",
         "10 downing street",
+        "11 Downing St.",
+        "9 downing St",
         "1 the Road",
+        "2 A Rd.",
+        "2 A Rd",
         "01 The Road",
         "1234 The Road",
         "55 Maple Avenue",
+        "55 Maple Ave",
         "4 Python Way",
+        "4 Python wy",
     ],
 )
 def test_can_identify_column_containing_simple_street_names(address):
@@ -42,17 +48,7 @@ def test_can_identify_column_containing_simple_street_names(address):
     assert actual_private_columns == expected_private_columns
 
 
-@pytest.mark.parametrize(
-    "address",
-    [
-        "10 Downing St",
-        "10 downing st",
-        "1 the rd",
-        "01 The Place",
-        "55 Maple Ave",
-        "4 Python Wy",
-    ],
-)
+@pytest.mark.parametrize("address", ["01 The Place"])
 def test_does_not_identify_non_whitelisted_street_types_as_addresses(address):
     df = pd.DataFrame(
         {"privateColumn": ["a", address, "c"], "nonPrivateColumn": ["a", "b", "c"]}