python
diff --git a/‎Include/memoryobject.h‎
Lines changed: 35 additions & 35 deletions b/‎Include/memoryobject.h‎
Lines changed: 35 additions & 35 deletions
@@ -20,53 +20,53 @@ PyAPI_FUNC(PyObject *) PyMemoryView_GetContiguous(PyObject *base,
 						  int buffertype, 
 						  char fort);
 
-	/* Return a contiguous chunk of memory representing the buffer
-	   from an object in a memory view object.  If a copy is made then the
-	   base object for the memory view will be a *new* bytes object. 
-	   
-	   Otherwise, the base-object will be the object itself and no 
-	   data-copying will be done. 
+    /* Return a contiguous chunk of memory representing the buffer
+       from an object in a memory view object.  If a copy is made then the
+       base object for the memory view will be a *new* bytes object. 
+       
+       Otherwise, the base-object will be the object itself and no 
+       data-copying will be done. 
 
-	   The buffertype argument can be PyBUF_READ, PyBUF_WRITE,
-	   PyBUF_SHADOW to determine whether the returned buffer
-	   should be READONLY, WRITABLE, or set to update the
-	   original buffer if a copy must be made.  If buffertype is
-	   PyBUF_WRITE and the buffer is not contiguous an error will
-	   be raised.  In this circumstance, the user can use
-	   PyBUF_SHADOW to ensure that a a writable temporary
-	   contiguous buffer is returned.  The contents of this
-	   contiguous buffer will be copied back into the original
-	   object after the memoryview object is deleted as long as
-	   the original object is writable and allows setting an
-	   exclusive write lock. If this is not allowed by the
-	   original object, then a BufferError is raised.
-	   
-	   If the object is multi-dimensional and if fortran is 'F',
-	   the first dimension of the underlying array will vary the
-	   fastest in the buffer.  If fortran is 'C', then the last
-	   dimension will vary the fastest (C-style contiguous).  If
-	   fortran is 'A', then it does not matter and you will get
-	   whatever the object decides is more efficient.  
+       The buffertype argument can be PyBUF_READ, PyBUF_WRITE,
+       PyBUF_SHADOW to determine whether the returned buffer
+       should be READONLY, WRITABLE, or set to update the
+       original buffer if a copy must be made.  If buffertype is
+       PyBUF_WRITE and the buffer is not contiguous an error will
+       be raised.  In this circumstance, the user can use
+       PyBUF_SHADOW to ensure that a a writable temporary
+       contiguous buffer is returned.  The contents of this
+       contiguous buffer will be copied back into the original
+       object after the memoryview object is deleted as long as
+       the original object is writable and allows setting an
+       exclusive write lock. If this is not allowed by the
+       original object, then a BufferError is raised.
+       
+       If the object is multi-dimensional and if fortran is 'F',
+       the first dimension of the underlying array will vary the
+       fastest in the buffer.  If fortran is 'C', then the last
+       dimension will vary the fastest (C-style contiguous).  If
+       fortran is 'A', then it does not matter and you will get
+       whatever the object decides is more efficient.  
 
-	   A new reference is returned that must be DECREF'd when finished.
-	*/
+       A new reference is returned that must be DECREF'd when finished.
+    */
 
 PyAPI_FUNC(PyObject *) PyMemoryView_FromObject(PyObject *base);
 
 PyAPI_FUNC(PyObject *) PyMemoryView_FromBuffer(Py_buffer *info);
-	/* create new if bufptr is NULL 
-	    will be a new bytesobject in base */
+    /* create new if bufptr is NULL 
+        will be a new bytesobject in base */
+
 
-	
 /* The struct is declared here so that macros can work, but it shouldn't
    be considered public. Don't access those fields directly, use the macros
    and functions instead! */
 typedef struct {
-	PyObject_HEAD
-	PyObject *base;
-	Py_buffer view;
+    PyObject_HEAD
+    PyObject *base;
+    Py_buffer view;
 } PyMemoryViewObject;
-	
+
 
 #ifdef __cplusplus
 }