fix lint

Author: chelsea-lin

db_dtypes/json.py

@@ -139,6 +139,18 @@ def _from_sequence_of_strings(
         """Construct a new ExtensionArray from a sequence of strings."""
         return cls._from_sequence(strings, dtype=dtype, copy=copy)
 
+    @classmethod
+    def _concat_same_type(cls, to_concat) -> JSONArray:
+        """Concatenate multiple JSONArray."""
+        chunks = [array for ea in to_concat for array in ea._pa_array.iterchunks()]
+        arr = pa.chunked_array(chunks, type=pa.large_string())
+        return cls(arr)
+
+    @classmethod
+    def _from_factorized(cls, values, original):
+        """Reconstruct an ExtensionArray after factorization."""
+        return cls._from_sequence(values, dtype=original.dtype)
+
     @staticmethod
     def _seralizate_json(value):
         """A static method that converts a JSON value into a string representation."""
@@ -174,11 +186,6 @@ def insert(self, loc: int, item) -> JSONArray:
         val = JSONArray._seralizate_json(item)
         return super().insert(loc, val)
 
-    @classmethod
-    def _from_factorized(cls, values, original):
-        """Reconstruct an ExtensionArray after factorization."""
-        return cls._from_sequence(values, dtype=original.dtype)
-
     def __getitem__(self, item):
         """Select a subset of self."""
         item = check_array_indexer(self, item)
@@ -237,10 +244,3 @@ def __iter__(self):
                 yield self._dtype.na_value
             else:
                 yield val
-
-    @classmethod
-    def _concat_same_type(cls, to_concat) -> JSONArray:
-        """Concatenate multiple JSONArray."""
-        chunks = [array for ea in to_concat for array in ea._pa_array.iterchunks()]
-        arr = pa.chunked_array(chunks, type=pa.large_string())
-        return cls(arr)

tests/compliance/json/test_json_compliance.py

@@ -22,8 +22,6 @@
 from pandas.tests.extension import base
 import pytest
 
-from db_dtypes import JSONArray
-
 
 class TestJSONArray(base.ExtensionTests):
     @pytest.mark.xfail(reason="Unhashable")
@@ -88,10 +86,6 @@ def test_arith_frame_with_scalar(self, data, all_arithmetic_operators):
     def test_arith_series_with_scalar(self, data, all_arithmetic_operators):
         super().test_arith_series_with_scalar(data, all_arithmetic_operators)
 
-    @pytest.mark.xfail(reason="Arithmetic functions is not supported for json")
-    def test_arith_series_with_scalar(self, data, all_arithmetic_operators):
-        super().test_arith_series_with_scalar(data, all_arithmetic_operators)
-
     @pytest.mark.xfail(reason="Arithmetic functions is not supported for json")
     def test_arith_series_with_array(self, data, all_arithmetic_operators):
         super().test_arith_series_with_array(data, all_arithmetic_operators)