REF: define arithmetic methods non-dynamically (#51813)

* REF: move alignment functions to DataFrame/Series methods

* REF: define flex arithmetic/comparison methods non-dynamically

* REF: Consolidate Frame/Series arithmetic helpers in ops.methods

* REF: move Series arithmetic helpers

* move fill_binop

* pyright ignore

* fix ops.__init__.__all__

* annotate

* REF: move everything back to Series/DataFrame classes

* fix doctest

Author: jbrockmendel

pandas/core/arrays/categorical.py

@@ -1349,7 +1349,7 @@ def __array__(self, dtype: NpDtype | None = None) -> np.ndarray:
 
     def __array_ufunc__(self, ufunc: np.ufunc, method: str, *inputs, **kwargs):
         # for binary ops, use our custom dunder methods
-        result = ops.maybe_dispatch_ufunc_to_dunder_op(
+        result = arraylike.maybe_dispatch_ufunc_to_dunder_op(
             self, ufunc, method, *inputs, **kwargs
         )
         if result is not NotImplemented:

pandas/core/arrays/masked.py

@@ -525,7 +525,7 @@ def __array_ufunc__(self, ufunc: np.ufunc, method: str, *inputs, **kwargs):
                 return NotImplemented
 
         # for binary ops, use our custom dunder methods
-        result = ops.maybe_dispatch_ufunc_to_dunder_op(
+        result = arraylike.maybe_dispatch_ufunc_to_dunder_op(
             self, ufunc, method, *inputs, **kwargs
         )
         if result is not NotImplemented:

pandas/core/arrays/numpy_.py

@@ -142,7 +142,7 @@ def __array_ufunc__(self, ufunc: np.ufunc, method: str, *inputs, **kwargs):
         # in PandasArray, since pandas' ExtensionArrays are 1-d.
         out = kwargs.get("out", ())
 
-        result = ops.maybe_dispatch_ufunc_to_dunder_op(
+        result = arraylike.maybe_dispatch_ufunc_to_dunder_op(
             self, ufunc, method, *inputs, **kwargs
         )
         if result is not NotImplemented:

pandas/core/arrays/sparse/array.py

@@ -78,10 +78,7 @@
     notna,
 )
 
-from pandas.core import (
-    arraylike,
-    ops,
-)
+from pandas.core import arraylike
 import pandas.core.algorithms as algos
 from pandas.core.arraylike import OpsMixin
 from pandas.core.arrays import ExtensionArray
@@ -1643,7 +1640,7 @@ def __array_ufunc__(self, ufunc: np.ufunc, method: str, *inputs, **kwargs):
                 return NotImplemented
 
         # for binary ops, use our custom dunder methods
-        result = ops.maybe_dispatch_ufunc_to_dunder_op(
+        result = arraylike.maybe_dispatch_ufunc_to_dunder_op(
             self, ufunc, method, *inputs, **kwargs
         )
         if result is not NotImplemented:

pandas/core/computation/expressions.py

@@ -17,8 +17,8 @@
 
 from pandas.util._exceptions import find_stack_level
 
+from pandas.core import roperator
 from pandas.core.computation.check import NUMEXPR_INSTALLED
-from pandas.core.ops import roperator
 
 if NUMEXPR_INSTALLED:
     import numexpr as ne