CLN clean ups in code

pandas/core/arrays/datetimelike.py

@@ -1181,7 +1181,7 @@ def _add_timedelta_arraylike(self, other):
             self_i8, other_i8, arr_mask=self._isnan, b_mask=other._isnan
         )
         if self._hasnans or other._hasnans:
-            mask = (self._isnan) | (other._isnan)
+            mask = self._isnan | other._isnan
             new_values[mask] = iNaT
 
         return type(self)(new_values, dtype=self.dtype)

pandas/core/arrays/datetimes.py

@@ -2018,6 +2018,7 @@ def objects_to_datetime64ns(
     utc : bool, default False
         Whether to convert timezone-aware timestamps to UTC.
     errors : {'raise', 'ignore', 'coerce'}
+    require_iso8601 : bool, default False
     allow_object : bool
         Whether to return an object-dtype ndarray instead of raising if the
         data contains more than one timezone.

pandas/core/arrays/interval.py

@@ -436,7 +436,7 @@ def from_arrays(cls, left, right, closed="right", copy=False, dtype=None):
             ),
         )
     )
-    def from_tuples(cls, data, closed="right", copy=False, dtype=None):
+    def from_tuples(cls, data, closed="right", dtype=None):
         if len(data):
             left, right = [], []
         else:

pandas/core/arrays/period.py

@@ -646,7 +646,7 @@ def _sub_period_array(self, other):
 
         new_values = np.array([self.freq.base * x for x in new_values])
         if self._hasnans or other._hasnans:
-            mask = (self._isnan) | (other._isnan)
+            mask = self._isnan | other._isnan
             new_values[mask] = NaT
         return new_values
 

pandas/core/arrays/sparse/array.py

@@ -452,7 +452,7 @@ def from_spmatrix(cls, data):
 
         return cls._simple_new(arr, index, dtype)
 
-    def __array__(self, dtype=None, copy=True) -> np.ndarray:
+    def __array__(self, dtype=None) -> np.ndarray:
         fill_value = self.fill_value
 
         if self.sp_index.ngaps == 0:
@@ -1161,9 +1161,9 @@ def __setstate__(self, state):
 
     def nonzero(self):
         if self.fill_value == 0:
-            return (self.sp_index.to_int_index().indices,)
+            return self.sp_index.to_int_index().indices
         else:
-            return (self.sp_index.to_int_index().indices[self.sp_values != 0],)
+            return self.sp_index.to_int_index().indices[self.sp_values != 0]
 
     # ------------------------------------------------------------------------
     # Reductions
@@ -1515,7 +1515,7 @@ def _formatter(self, boxed=False):
 SparseArray._add_unary_ops()
 
 
-def make_sparse(arr: np.ndarray, kind="block", fill_value=None, dtype=None, copy=False):
+def make_sparse(arr: np.ndarray, kind="block", fill_value=None, dtype=None):
     """
     Convert ndarray to sparse format
 

pandas/core/computation/parsing.py

@@ -154,6 +154,7 @@ def tokenize_backtick_quoted_string(
         The token that represents the backtick quoted string.
         The integer is equal to BACKTICK_QUOTED_STRING (100).
     """
+    string_end = None
     for _, tokval, start, _, _ in token_generator:
         if tokval == "`":
             string_end = start[1]

pandas/core/computation/pytables.py

@@ -132,6 +132,8 @@ def pr(left, right):
             res = pr(left.value, right.prune(klass))
         elif not (is_term(left) or is_term(right)):
             res = pr(left.prune(klass), right.prune(klass))
+        else:
+            res = None
 
         return res
 
@@ -445,7 +447,7 @@ def visit_Attribute(self, node, **kwargs):
             # try to get the value to see if we are another expression
             try:
                 resolved = resolved.value
-            except (AttributeError):
+            except AttributeError:
                 pass
 
             try: