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-rw-r--r--Doc/api/memory.tex4
-rw-r--r--Doc/api/newtypes.tex17
2 files changed, 1 insertions, 20 deletions
diff --git a/Doc/api/memory.tex b/Doc/api/memory.tex
index 3dbe9a5..4bc2c7a 100644
--- a/Doc/api/memory.tex
+++ b/Doc/api/memory.tex
@@ -195,9 +195,7 @@ free(buf1); /* Fatal -- should be PyMem_Del() */
In addition to the functions aimed at handling raw memory blocks from
the Python heap, objects in Python are allocated and released with
\cfunction{PyObject_New()}, \cfunction{PyObject_NewVar()} and
-\cfunction{PyObject_Del()}, or with their corresponding macros
-\cfunction{PyObject_NEW()}, \cfunction{PyObject_NEW_VAR()} and
-\cfunction{PyObject_DEL()}.
+\cfunction{PyObject_Del()}.
These will be explained in the next chapter on defining and
implementing new object types in C.
diff --git a/Doc/api/newtypes.tex b/Doc/api/newtypes.tex
index b7e25b9..2d758b0 100644
--- a/Doc/api/newtypes.tex
+++ b/Doc/api/newtypes.tex
@@ -62,23 +62,6 @@ defining new object types.
after this call as the memory is no longer a valid Python object.
\end{cfuncdesc}
-\begin{cfuncdesc}{\var{TYPE}*}{PyObject_NEW}{TYPE, PyTypeObject *type}
- Macro version of \cfunction{PyObject_New()}, to gain performance at
- the expense of safety. This does not check \var{type} for a \NULL{}
- value.
-\end{cfuncdesc}
-
-\begin{cfuncdesc}{\var{TYPE}*}{PyObject_NEW_VAR}{TYPE, PyTypeObject *type,
- Py_ssize_t size}
- Macro version of \cfunction{PyObject_NewVar()}, to gain performance
- at the expense of safety. This does not check \var{type} for a
- \NULL{} value.
-\end{cfuncdesc}
-
-\begin{cfuncdesc}{void}{PyObject_DEL}{PyObject *op}
- Macro version of \cfunction{PyObject_Del()}.
-\end{cfuncdesc}
-
\begin{cfuncdesc}{PyObject*}{Py_InitModule}{char *name,
PyMethodDef *methods}
Create a new module object based on a name and table of functions,