TST: Remove unused fixtures (pandas-dev#45692)

* TST: Remove unused fixtures

* Undo a removed fixture

* Add back other fixtures

* Undo a file

* Try undoing this?

* Revert "Try undoing this?"

This reverts commit 0e56cb0.

Author: mroeschke

pandas/tests/apply/test_str.py

@@ -55,7 +55,7 @@ def test_with_string_args(datetime_series):
 
 @pytest.mark.parametrize("op", ["mean", "median", "std", "var"])
 @pytest.mark.parametrize("how", ["agg", "apply"])
-def test_apply_np_reducer(float_frame, op, how):
+def test_apply_np_reducer(op, how):
     # GH 39116
     float_frame = DataFrame({"a": [1, 2], "b": [3, 4]})
     result = getattr(float_frame, how)(op)

pandas/tests/arrays/categorical/common.py

@@ -2,7 +2,7 @@
 
 
 class TestCategorical:
-    def setup_method(self, method):
+    def setup_method(self):
         self.factor = Categorical(
             ["a", "b", "b", "a", "a", "c", "c", "c"], ordered=True
         )

pandas/tests/arrays/categorical/test_indexing.py

@@ -370,7 +370,7 @@ def array(self, dtype=None):
         yield
 
 
-def test_series_at(non_coercible_categorical):
+def test_series_at():
     arr = Categorical(["a", "b", "c"])
     ser = Series(arr)
     result = ser.at[0]

pandas/tests/arrays/masked/test_arithmetic.py

@@ -173,7 +173,7 @@ def test_error_len_mismatch(data, all_arithmetic_operators):
 
 
 @pytest.mark.parametrize("op", ["__neg__", "__abs__", "__invert__"])
-def test_unary_op_does_not_propagate_mask(data, op, request):
+def test_unary_op_does_not_propagate_mask(data, op):
     # https://github.com/pandas-dev/pandas/issues/39943
     data, _ = data
     ser = pd.Series(data)

pandas/tests/arrays/sparse/test_array.py

@@ -17,7 +17,7 @@
 
 
 class TestSparseArray:
-    def setup_method(self, method):
+    def setup_method(self):
         self.arr_data = np.array([np.nan, np.nan, 1, 2, 3, np.nan, 4, 5, np.nan, 6])
         self.arr = SparseArray(self.arr_data)
         self.zarr = SparseArray([0, 0, 1, 2, 3, 0, 4, 5, 0, 6], fill_value=0)

pandas/tests/arrays/string_/test_string.py

@@ -554,7 +554,7 @@ def test_to_numpy_na_value(dtype, nulls_fixture):
     tm.assert_numpy_array_equal(result, expected)
 
 
-def test_isin(dtype, request, fixed_now_ts):
+def test_isin(dtype, fixed_now_ts):
     s = pd.Series(["a", "b", None], dtype=dtype)
 
     result = s.isin(["a", "c"])

pandas/tests/config/test_config.py

@@ -18,7 +18,7 @@ def setup_class(cls):
         cls.do = deepcopy(getattr(cls.cf, "_deprecated_options"))
         cls.ro = deepcopy(getattr(cls.cf, "_registered_options"))
 
-    def setup_method(self, method):
+    def setup_method(self):
         setattr(self.cf, "_global_config", {})
         setattr(self.cf, "options", self.cf.DictWrapper(self.cf._global_config))
         setattr(self.cf, "_deprecated_options", {})
@@ -30,7 +30,7 @@ def setup_method(self, method):
         # "chained_assignment" option, so re-register it.
         self.cf.register_option("chained_assignment", "raise")
 
-    def teardown_method(self, method):
+    def teardown_method(self):
         setattr(self.cf, "_global_config", self.gc)
         setattr(self.cf, "_deprecated_options", self.do)
         setattr(self.cf, "_registered_options", self.ro)

pandas/tests/dtypes/cast/test_promote.py

@@ -348,7 +348,7 @@ def test_maybe_promote_bytes_with_any(bytes_dtype, any_numpy_dtype_reduced):
     _check_promote(dtype, fill_value, expected_dtype, exp_val_for_scalar)
 
 
-def test_maybe_promote_any_with_bytes(any_numpy_dtype_reduced, bytes_dtype):
+def test_maybe_promote_any_with_bytes(any_numpy_dtype_reduced):
     dtype = np.dtype(any_numpy_dtype_reduced)
 
     # create array of given dtype
@@ -391,9 +391,7 @@ def test_maybe_promote_datetime64_with_any(datetime64_dtype, any_numpy_dtype_red
     ],
     ids=["pd.Timestamp", "np.datetime64", "datetime.datetime", "datetime.date"],
 )
-def test_maybe_promote_any_with_datetime64(
-    any_numpy_dtype_reduced, datetime64_dtype, fill_value
-):
+def test_maybe_promote_any_with_datetime64(any_numpy_dtype_reduced, fill_value):
     dtype = np.dtype(any_numpy_dtype_reduced)
 
     # filling datetime with anything but datetime casts to object
@@ -465,9 +463,7 @@ def test_maybe_promote_timedelta64_with_any(timedelta64_dtype, any_numpy_dtype_r
     [pd.Timedelta(days=1), np.timedelta64(24, "h"), datetime.timedelta(1)],
     ids=["pd.Timedelta", "np.timedelta64", "datetime.timedelta"],
 )
-def test_maybe_promote_any_with_timedelta64(
-    any_numpy_dtype_reduced, timedelta64_dtype, fill_value
-):
+def test_maybe_promote_any_with_timedelta64(any_numpy_dtype_reduced, fill_value):
     dtype = np.dtype(any_numpy_dtype_reduced)
 
     # filling anything but timedelta with timedelta casts to object
@@ -496,7 +492,7 @@ def test_maybe_promote_string_with_any(string_dtype, any_numpy_dtype_reduced):
     _check_promote(dtype, fill_value, expected_dtype, exp_val_for_scalar)
 
 
-def test_maybe_promote_any_with_string(any_numpy_dtype_reduced, string_dtype):
+def test_maybe_promote_any_with_string(any_numpy_dtype_reduced):
     dtype = np.dtype(any_numpy_dtype_reduced)
 
     # create array of given dtype
@@ -523,7 +519,7 @@ def test_maybe_promote_object_with_any(object_dtype, any_numpy_dtype_reduced):
     _check_promote(dtype, fill_value, expected_dtype, exp_val_for_scalar)
 
 
-def test_maybe_promote_any_with_object(any_numpy_dtype_reduced, object_dtype):
+def test_maybe_promote_any_with_object(any_numpy_dtype_reduced):
     dtype = np.dtype(any_numpy_dtype_reduced)
 
     # create array of object dtype from a scalar value (i.e. passing

pandas/tests/dtypes/test_dtypes.py

@@ -848,7 +848,7 @@ def test_categories(self):
         tm.assert_index_equal(result.categories, pd.Index(["a", "b", "c"]))
         assert result.ordered is False
 
-    def test_equal_but_different(self, ordered):
+    def test_equal_but_different(self):
         c1 = CategoricalDtype([1, 2, 3])
         c2 = CategoricalDtype([1.0, 2.0, 3.0])
         assert c1 is not c2

pandas/tests/extension/base/setitem.py

@@ -357,7 +357,7 @@ def test_setitem_series(self, data, full_indexer):
         )
         self.assert_series_equal(result, expected)
 
-    def test_setitem_frame_2d_values(self, data, request):
+    def test_setitem_frame_2d_values(self, data):
         # GH#44514
         df = pd.DataFrame({"A": data})
         orig = df.copy()