Fix zip(strict=...) errors: set strict=False where needed

Author: RAAPPO

pandas/tests/extension/json/array.py

@@ -135,12 +135,12 @@ 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, strict=True)):
+                for i, (k, v) in enumerate(zip(key, value, strict=False)):
                     if k:
                         assert isinstance(v, self.dtype.type)
                         self.data[i] = v
             else:
-                for k, v in zip(key, value, strict=True):
+                for k, v in zip(key, value, strict=False):
                     assert isinstance(v, self.dtype.type)
                     self.data[k] = v
 

pandas/tests/frame/methods/test_drop.py

@@ -144,7 +144,7 @@ def test_drop(self):
 
         # non-unique - wheee!
         nu_df = DataFrame(
-            list(zip(range(3), range(-3, 1), list("abc"), strict=True)),
+            list(zip(range(3), range(-3, 1), list("abc"), strict=False)),
             columns=["a", "a", "b"],
         )
         tm.assert_frame_equal(nu_df.drop("a", axis=1), nu_df[["b"]])

pandas/tests/groupby/test_groupby_dropna.py

@@ -326,7 +326,7 @@ def test_groupby_apply_with_dropna_for_multi_index(dropna, data, selected_data,
     gb = df.groupby("groups", dropna=dropna)
     result = gb.apply(lambda grp: pd.DataFrame({"values": range(len(grp))}))
 
-    mi_tuples = tuple(zip(data["groups"], selected_data["values"], strict=True))
+    mi_tuples = tuple(zip(data["groups"], selected_data["values"], strict=False))
     mi = pd.MultiIndex.from_tuples(mi_tuples, names=["groups", None])
     # Since right now, by default MI will drop NA from levels when we create MI
     # via `from_*`, so we need to add NA for level manually afterwards.

pandas/tests/io/parser/test_header.py

@@ -572,7 +572,7 @@ def test_multi_index_unnamed(all_parsers, index_col, columns):
 
         exp_columns.append(col)
 
-    columns = MultiIndex.from_tuples(zip(exp_columns, ["0", "1"], strict=True))
+    columns = MultiIndex.from_tuples(zip(exp_columns, ["0", "1"], strict=False))
     expected = DataFrame([[2, 3], [4, 5]], columns=columns)
     tm.assert_frame_equal(result, expected)
 

pandas/tests/strings/conftest.py

@@ -94,7 +94,7 @@
         ],
         [()] * 100,
         [{}] * 100,
-        strict=True,
+        strict=False,
     )
 )
 ids, _, _ = zip(*_any_string_method, strict=True)  # use method name as fixture-id

pandas/tests/window/test_expanding.py

@@ -180,7 +180,7 @@ def test_iter_expanding_dataframe(df, expected, min_periods):
     df = DataFrame(df)
     expecteds = [DataFrame(values, index=index) for (values, index) in expected]
 
-    for expected, actual in zip(expecteds, df.expanding(min_periods), strict=True):
+    for expected, actual in zip(expecteds, df.expanding(min_periods), strict=False):
         tm.assert_frame_equal(actual, expected)
 
 

pandas/tests/window/test_rolling.py

@@ -765,7 +765,7 @@ def test_iter_rolling_dataframe(df, expected, window, min_periods):
     expecteds = [DataFrame(values, index=index) for (values, index) in expected]
 
     for expected, actual in zip(
-        expecteds, df.rolling(window, min_periods=min_periods), strict=True
+        expecteds, df.rolling(window, min_periods=min_periods), strict=False
     ):
         tm.assert_frame_equal(actual, expected)
 
@@ -812,7 +812,7 @@ def test_iter_rolling_on_dataframe(expected, window):
     expecteds = [
         DataFrame(values, index=df.loc[index, "C"]) for (values, index) in expected
     ]
-    for expected, actual in zip(expecteds, df.rolling(window, on="C"), strict=True):
+    for expected, actual in zip(expecteds, df.rolling(window, on="C"), strict=False):
         tm.assert_frame_equal(actual, expected)