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