MAINT: remove undocumented use of context in __array__(dtype, context)

1 files changed, 10 insertions, 11 deletions

diff --git a/doc/source/reference/c-api/array.rst b/doc/source/reference/c-api/array.rst
index 2eaf3a27a..3581e3abe 100644
--- a/doc/source/reference/c-api/array.rst
+++ b/doc/source/reference/c-api/array.rst
@@ -426,10 +426,8 @@ From other objects
     may be 0. Also, if *op* is not already an array (or does not
     expose the array interface), then a new array will be created (and
     filled from *op* using the sequence protocol). The new array will
-    have :c:data:`NPY_ARRAY_DEFAULT` as its flags member. The *context* argument
-    is passed to the :obj:`~numpy.class.__array__` method of *op* and is only used if
-    the array is constructed that way. Almost always this
-    parameter is ``NULL``.
+    have :c:data:`NPY_ARRAY_DEFAULT` as its flags member. The *context*
+    argument is unused.
 
     .. c:var:: NPY_ARRAY_C_CONTIGUOUS
 
@@ -574,6 +572,8 @@ From other objects
     :c:data:`NPY_ARRAY_WRITEABLE` to PyArray_FromAny, where the writeable array may
     be a copy of the input.
 
+    `context` is not used.
+
     When success (0 return value) is returned, either out_arr
     is filled with a non-NULL PyArrayObject and
     the rest of the parameters are untouched, or out_arr is
@@ -677,10 +677,8 @@ From other objects
         PyObject* op, PyArray_Descr* dtype, PyObject* context)
 
     Return an ndarray object from a Python object that exposes the
-    :obj:`~numpy.class.__array__` method. The :obj:`~numpy.class.__array__` method can take 0, 1, or 2
-    arguments ([dtype, context]) where *context* is used to pass
-    information about where the :obj:`~numpy.class.__array__` method is being called
-    from (currently only used in ufuncs).
+    :obj:`~numpy.class.__array__` method. The :obj:`~numpy.class.__array__`
+    method can take 0, or 1 argument ``([dtype])``. ``context`` is unused.
 
 .. c:function:: PyObject* PyArray_ContiguousFromAny( \
         PyObject* op, int typenum, int min_depth, int max_depth)
@@ -859,15 +857,16 @@ General check of Python Type
     conversion occurs. Otherwise, out will contain a borrowed
     reference to :c:data:`Py_NotImplemented` and no error condition is set.
 
-.. c:function:: PyArray_HasArrayInterfaceType(op, type, context, out)
+.. c:function:: PyArray_HasArrayInterfaceType(op, dtype, context, out)
 
     If ``op`` implements any part of the array interface, then ``out``
     will contain a new reference to the newly created ndarray using
     the interface or ``out`` will contain ``NULL`` if an error during
     conversion occurs. Otherwise, out will contain a borrowed
     reference to Py_NotImplemented and no error condition is set.
-    This version allows setting of the type and context in the part of
-    the array interface that looks for the :obj:`~numpy.class.__array__` attribute.
+    This version allows setting of the dtype in the part of the array interface
+    that looks for the :obj:`~numpy.class.__array__` attribute. `context` is
+    unused.
 
 .. c:function:: PyArray_IsZeroDim(op)