CLN: remove IndexEngine.set_value

pandas/_libs/index.pyx

@@ -87,20 +87,6 @@ cdef class IndexEngine:
         else:
             return get_value_at(arr, loc, tz=tz)
 
-    cpdef set_value(self, ndarray arr, object key, object value):
-        """
-        Parameters
-        ----------
-        arr : 1-dimensional ndarray
-        """
-        cdef:
-            object loc
-
-        loc = self.get_loc(key)
-        value = convert_scalar(arr, value)
-
-        arr[loc] = value
-
     cpdef get_loc(self, object val):
         cdef:
             Py_ssize_t loc
@@ -585,17 +571,24 @@ cpdef convert_scalar(ndarray arr, object value):
         raise ValueError("cannot set a Timedelta with a non-timedelta "
                          f"{type(value).__name__}")
 
-    if (issubclass(arr.dtype.type, (np.integer, np.floating, np.complex)) and
-            not issubclass(arr.dtype.type, np.bool_)):
+    else:
+        validate_numeric_casting(arr.dtype, value)
+
+    return value
+
+
+cpdef validate_numeric_casting(dtype, object value):
+    # Note: we can't type dtype as cnp.dtype because that cases dtype.type
+    #  to integer
+    if (issubclass(dtype.type, (np.integer, np.floating, np.complex)) and
+            not issubclass(dtype.type, np.bool_)):
         if util.is_bool_object(value):
             raise ValueError("Cannot assign bool to float/integer series")
 
-    if issubclass(arr.dtype.type, (np.integer, np.bool_)):
+    if issubclass(dtype.type, (np.integer, np.bool_)):
         if util.is_float_object(value) and value != value:
             raise ValueError("Cannot assign nan to integer series")
 
-    return value
-
 
 cdef class BaseMultiIndexCodesEngine:
     """

pandas/core/frame.py

@@ -40,7 +40,7 @@
 
 from pandas._config import get_option
 
-from pandas._libs import algos as libalgos, lib, properties
+from pandas._libs import algos as libalgos, index as libindex, lib, properties
 from pandas._typing import Axes, Axis, Dtype, FilePathOrBuffer, Label, Level, Renamer
 from pandas.compat import PY37
 from pandas.compat._optional import import_optional_dependency
@@ -3025,10 +3025,14 @@ def _set_value(self, index, col, value, takeable: bool = False):
 
             series = self._get_item_cache(col)
             engine = self.index._engine
-            engine.set_value(series._values, index, value)
+            loc = engine.get_loc(index)
+            libindex.validate_numeric_casting(series.dtype, value)
+
+            series._values[loc] = value
+            # Note: trying to use series._set_value breaks tests in
+            #  tests.frame.indexing.test_indexing and tests.indexing.test_partial
             return self
         except (KeyError, TypeError):
-
             # set using a non-recursive method & reset the cache
             if takeable:
                 self.iloc[index, col] = value

pandas/core/indexes/base.py

@@ -4646,9 +4646,9 @@ def set_value(self, arr, key, value):
             FutureWarning,
             stacklevel=2,
         )
-        self._engine.set_value(
-            com.values_from_object(arr), com.values_from_object(key), value
-        )
+        loc = self._engine.get_loc(key)
+        libindex.validate_numeric_casting(arr.dtype, value)
+        arr[loc] = value
 
     _index_shared_docs[
         "get_indexer_non_unique"

pandas/core/series.py

@@ -1026,17 +1026,10 @@ def __setitem__(self, key, value):
             self._maybe_update_cacher()
 
     def _set_with_engine(self, key, value):
-        values = self._values
-        if is_extension_array_dtype(values.dtype):
-            # The cython indexing engine does not support ExtensionArrays.
-            values[self.index.get_loc(key)] = value
-            return
-        try:
-            self.index._engine.set_value(values, key, value)
-            return
-        except KeyError:
-            values[self.index.get_loc(key)] = value
-            return
+        # fails with AttributeError for IntervalIndex
+        loc = self.index._engine.get_loc(key)
+        libindex.validate_numeric_casting(self.dtype, value)
+        self._values[loc] = value
 
     def _set_with(self, key, value):
         # other: fancy integer or otherwise
@@ -1116,11 +1109,10 @@ def _set_value(self, label, value, takeable: bool = False):
         try:
             if takeable:
                 self._values[label] = value
-            elif isinstance(self._values, np.ndarray):
-                # i.e. not EA, so we can use _engine
-                self.index._engine.set_value(self._values, label, value)
             else:
-                self.loc[label] = value
+                loc = self.index.get_loc(label)
+                libindex.validate_numeric_casting(self.dtype, value)
+                self._values[loc] = value
         except KeyError:
 
             # set using a non-recursive method

pandas/tests/indexing/test_indexing.py

@@ -137,7 +137,7 @@ def test_setitem_ndarray_3d(self, index, obj, idxr, idxr_id):
             r"Buffer has wrong number of dimensions \(expected 1, "
             r"got 3\)|"
             "'pandas._libs.interval.IntervalTree' object has no attribute "
-            "'set_value'|"  # AttributeError
+            "'get_loc'|"  # AttributeError
             "unhashable type: 'numpy.ndarray'|"  # TypeError
             "No matching signature found|"  # TypeError
             r"^\[\[\[|"  # pandas.core.indexing.IndexingError