STY: Add strict=True to zip() calls in pandas/tests/reshape

pandas/tests/reshape/concat/test_concat.py

@@ -707,7 +707,7 @@ def test_concat_repeated_keys(keys, integrity):
     # GH: 20816
     series_list = [Series({"a": 1}), Series({"b": 2}), Series({"c": 3})]
     result = concat(series_list, keys=keys, verify_integrity=integrity)
-    tuples = list(zip(keys, ["a", "b", "c"]))
+    tuples = list(zip(keys, ["a", "b", "c"], strict=True))
     expected = Series([1, 2, 3], index=MultiIndex.from_tuples(tuples))
     tm.assert_series_equal(result, expected)
 

pandas/tests/reshape/concat/test_index.py

@@ -60,7 +60,7 @@ def test_concat_same_index_names(self, name_in1, name_in2, name_in3, name_out):
             Index(["c", "d", "e"], name=name_in3),
         ]
         frames = [
-            DataFrame({c: [0, 1, 2]}, index=i) for i, c in zip(indices, ["x", "y", "z"])
+            DataFrame({c: [0, 1, 2]}, index=i) for i, c in zip(indices, ["x", "y", "z"], strict=True)
         ]
         result = concat(frames, axis=1)
 
@@ -218,7 +218,7 @@ def test_concat_multiindex_with_none_in_index_names(self):
         level2 = [1] * 5 + [2] * 2
         level1 = [1] * 7
         no_name = list(range(5)) + list(range(2))
-        tuples = list(zip(level2, level1, no_name))
+        tuples = list(zip(level2, level1, no_name, strict=True))
         index = MultiIndex.from_tuples(tuples, names=["level2", "level1", None])
         expected = DataFrame({"col": no_name}, index=index, dtype=np.int32)
         tm.assert_frame_equal(result, expected)

pandas/tests/reshape/test_melt.py

@@ -801,7 +801,7 @@ def test_simple(self):
                 "A1980": {0: "d", 1: "e", 2: "f"},
                 "B1970": {0: 2.5, 1: 1.2, 2: 0.7},
                 "B1980": {0: 3.2, 1: 1.3, 2: 0.1},
-                "X": dict(zip(range(3), x)),
+                "X": dict(zip(range(3), x, strict=True)),
             }
         )
         df["id"] = df.index
@@ -837,7 +837,7 @@ def test_separating_character(self):
                 "A.1980": {0: "d", 1: "e", 2: "f"},
                 "B.1970": {0: 2.5, 1: 1.2, 2: 0.7},
                 "B.1980": {0: 3.2, 1: 1.3, 2: 0.1},
-                "X": dict(zip(range(3), x)),
+                "X": dict(zip(range(3), x, strict=True)),
             }
         )
         df["id"] = df.index
@@ -861,7 +861,7 @@ def test_escapable_characters(self):
                 "A(quarterly)1980": {0: "d", 1: "e", 2: "f"},
                 "B(quarterly)1970": {0: 2.5, 1: 1.2, 2: 0.7},
                 "B(quarterly)1980": {0: 3.2, 1: 1.3, 2: 0.1},
-                "X": dict(zip(range(3), x)),
+                "X": dict(zip(range(3), x, strict=True)),
             }
         )
         df["id"] = df.index

pandas/tests/reshape/test_qcut.py

@@ -304,5 +304,5 @@ def test_qcut_contains(scale, q, precision):
     arr = (scale * np.arange(q + 1)).round(precision)
     result = qcut(arr, q, precision=precision)
 
-    for value, bucket in zip(arr, result):
+    for value, bucket in zip(arr, result, strict=True):
         assert value in bucket