TST/CLN: Inline seldom used fixture

pandas/tests/arrays/categorical/test_api.py

@@ -385,7 +385,8 @@ def test_remove_unused_categories(self):
 
 
 class TestCategoricalAPIWithFactor:
-    def test_describe(self, factor):
+    def test_describe(self):
+        factor = Categorical(["a", "b", "b", "a", "a", "c", "c", "c"], ordered=True)
         # string type
         desc = factor.describe()
         assert factor.ordered

pandas/tests/arrays/categorical/test_indexing.py

@@ -21,7 +21,8 @@
 
 
 class TestCategoricalIndexingWithFactor:
-    def test_getitem(self, factor):
+    def test_getitem(self):
+        factor = Categorical(["a", "b", "b", "a", "a", "c", "c", "c"], ordered=True)
         assert factor[0] == "a"
         assert factor[-1] == "c"
 
@@ -31,7 +32,8 @@ def test_getitem(self, factor):
         subf = factor[np.asarray(factor) == "c"]
         tm.assert_numpy_array_equal(subf._codes, np.array([2, 2, 2], dtype=np.int8))
 
-    def test_setitem(self, factor):
+    def test_setitem(self):
+        factor = Categorical(["a", "b", "b", "a", "a", "c", "c", "c"], ordered=True)
         # int/positional
         c = factor.copy()
         c[0] = "b"

pandas/tests/arrays/categorical/test_operators.py

@@ -17,7 +17,8 @@ def test_categories_none_comparisons(self):
         factor = Categorical(["a", "b", "b", "a", "a", "c", "c", "c"], ordered=True)
         tm.assert_categorical_equal(factor, factor)
 
-    def test_comparisons(self, factor):
+    def test_comparisons(self):
+        factor = Categorical(["a", "b", "b", "a", "a", "c", "c", "c"], ordered=True)
         result = factor[factor == "a"]
         expected = factor[np.asarray(factor) == "a"]
         tm.assert_categorical_equal(result, expected)

pandas/tests/arrays/categorical/test_repr.py

@@ -17,7 +17,8 @@
 
 
 class TestCategoricalReprWithFactor:
-    def test_print(self, factor, using_infer_string):
+    def test_print(self, using_infer_string):
+        factor = Categorical(["a", "b", "b", "a", "a", "c", "c", "c"], ordered=True)
         if using_infer_string:
             expected = [
                 "['a', 'b', 'b', 'a', 'a', 'c', 'c', 'c']",

pandas/tests/indexes/datetimes/test_ops.py

@@ -10,8 +10,6 @@
 )
 import pandas._testing as tm
 
-START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
-
 
 class TestDatetimeIndexOps:
     def test_infer_freq(self, freq_sample):
@@ -26,6 +24,7 @@ def test_infer_freq(self, freq_sample):
 class TestBusinessDatetimeIndex:
     @pytest.fixture
     def rng(self, freq):
+        START, END = datetime(2009, 1, 1), datetime(2010, 1, 1)
         return bdate_range(START, END, freq=freq)
 
     def test_comparison(self, rng):

pandas/tests/tseries/offsets/test_common.py

@@ -250,7 +250,8 @@ def test_sub(date, offset_box, offset2):
         [BusinessHour, BusinessHour()],
     ],
 )
-def test_Mult1(offset_box, offset1, dt):
+def test_Mult1(offset_box, offset1):
+    dt = Timestamp(2008, 1, 2)
     assert dt + 10 * offset1 == dt + offset_box(10)
     assert dt + 5 * offset1 == dt + offset_box(5)