STY: Use strict arg in zip() in pandas/tests/extension

I added strict=True parameter to 11 zip() calls across 7 files in the
pandas/tests/extension directory to enforce Ruff rule B905.

This ensures that all zipped iterables have equal lengths, making the
tests more robust and catching potential bugs early during testing.

Files modified:
- base/methods.py: 3 zip() calls
- date/array.py: 1 zip() call
- decimal/array.py: 1 zip() call
- json/array.py: 3 zip() calls
- test_arrow.py: 1 zip() call
- test_categorical.py: 1 zip() call
- test_interval.py: 1 zip() call

Author: AKHIL-149

pandas/tests/extension/base/methods.py

@@ -350,7 +350,7 @@ def test_combine_le(self, data_repeated):
         result = s1.combine(s2, lambda x1, x2: x1 <= x2)
         expected = pd.Series(
             pd.array(
-                [a <= b for (a, b) in zip(list(orig_data1), list(orig_data2))],
+                [a <= b for (a, b) in zip(list(orig_data1), list(orig_data2), strict=True)],
                 dtype=self._combine_le_expected_dtype,
             )
         )
@@ -369,7 +369,7 @@ def test_combine_le(self, data_repeated):
     def _construct_for_combine_add(self, left, right):
         if isinstance(right, type(left)):
             return left._from_sequence(
-                [a + b for (a, b) in zip(list(left), list(right))],
+                [a + b for (a, b) in zip(list(left), list(right), strict=True)],
                 dtype=left.dtype,
             )
         else:
@@ -627,7 +627,7 @@ def test_repeat(self, data, repeats, as_series, use_numpy):
         result = np.repeat(arr, repeats) if use_numpy else arr.repeat(repeats)
 
         repeats = [repeats] * 3 if isinstance(repeats, int) else repeats
-        expected = [x for x, n in zip(arr, repeats) for _ in range(n)]
+        expected = [x for x, n in zip(arr, repeats, strict=True) for _ in range(n)]
         expected = type(data)._from_sequence(expected, dtype=data.dtype)
         if as_series:
             expected = pd.Series(expected, index=arr.index.repeat(repeats))

pandas/tests/extension/date/array.py

@@ -162,7 +162,7 @@ def __setitem__(self, key: int | slice | np.ndarray, value: Any) -> None:
         self._day[key] = value.day
 
     def __repr__(self) -> str:
-        return f"DateArray{list(zip(self._year, self._month, self._day))}"
+        return f"DateArray{list(zip(self._year, self._month, self._day, strict=True))}"
 
     def copy(self) -> DateArray:
         return DateArray((self._year.copy(), self._month.copy(), self._day.copy()))

pandas/tests/extension/decimal/array.py

@@ -295,7 +295,7 @@ def convert_values(param):
 
         # If the operator is not defined for the underlying objects,
         # a TypeError should be raised
-        res = [op(a, b) for (a, b) in zip(lvalues, rvalues)]
+        res = [op(a, b) for (a, b) in zip(lvalues, rvalues, strict=True)]
 
         return np.asarray(res, dtype=bool)
 

pandas/tests/extension/json/array.py

@@ -128,7 +128,7 @@ def __getitem__(self, item):
             item = pd.api.indexers.check_array_indexer(self, item)
             if is_bool_dtype(item.dtype):
                 return type(self)._from_sequence(
-                    [x for x, m in zip(self, item) if m], dtype=self.dtype
+                    [x for x, m in zip(self, item, strict=True) if m], dtype=self.dtype
                 )
             # integer
             return type(self)([self.data[i] for i in item])
@@ -146,12 +146,12 @@ def __setitem__(self, key, value) -> None:
 
             if isinstance(key, np.ndarray) and key.dtype == "bool":
                 # masking
-                for i, (k, v) in enumerate(zip(key, value)):
+                for i, (k, v) in enumerate(zip(key, value, strict=True)):
                     if k:
                         assert isinstance(v, self.dtype.type)
                         self.data[i] = v
             else:
-                for k, v in zip(key, value):
+                for k, v in zip(key, value, strict=True):
                     assert isinstance(v, self.dtype.type)
                     self.data[k] = v
 

pandas/tests/extension/test_arrow.py

@@ -282,7 +282,7 @@ def _construct_for_combine_add(self, left, right):
 
         if isinstance(right, type(left)):
             return left._from_sequence(
-                [a + b for (a, b) in zip(list(left), list(right))],
+                [a + b for (a, b) in zip(list(left), list(right), strict=True)],
                 dtype=dtype,
             )
         else:

pandas/tests/extension/test_categorical.py

@@ -126,7 +126,7 @@ def test_combine_add(self, data_repeated):
         s2 = pd.Series(orig_data2)
         result = s1.combine(s2, lambda x1, x2: x1 + x2)
         expected = pd.Series(
-            [a + b for (a, b) in zip(list(orig_data1), list(orig_data2))]
+            [a + b for (a, b) in zip(list(orig_data1), list(orig_data2), strict=True)]
         )
         tm.assert_series_equal(result, expected)
 

pandas/tests/extension/test_interval.py

@@ -34,7 +34,7 @@
 def make_data(n: int):
     left_array = np.random.default_rng(2).uniform(size=n).cumsum()
     right_array = left_array + np.random.default_rng(2).uniform(size=n)
-    return [Interval(left, right) for left, right in zip(left_array, right_array)]
+    return [Interval(left, right) for left, right in zip(left_array, right_array, strict=True)]
 
 
 @pytest.fixture