Address doc review

Author: pablogsal

Doc/using/cmdline.rst

@@ -608,7 +608,7 @@ Miscellaneous options
      if is not supported on the current system. See also
      :envvar:`PYTHON_DISABLE_REMOTE_DEBUG` and :pep:`768`.
 
-     .. versionadded:: 3.14
+     .. versionadded:: next
 
    * :samp:`-X cpu_count={n}` overrides :func:`os.cpu_count`,
      :func:`os.process_cpu_count`, and :func:`multiprocessing.cpu_count`.
@@ -1174,7 +1174,7 @@ conflict.
 
    See also the :option:`-X disable_remote_debug` command-line option.
 
-   .. versionadded:: 3.14
+   .. versionadded:: next
 
 .. envvar:: PYTHON_CPU_COUNT
 

Doc/using/configure.rst

@@ -667,7 +667,7 @@ also be used to improve performance.
    execution of a Python file in a separate process as described in :pep:`768` is
    not compiled.
 
-   ..versionadded:: 3.14
+   ..versionadded:: next
 
 
 .. _debug-build:

Doc/whatsnew/3.14.rst

@@ -117,36 +117,36 @@ Here's a simple example that inspects object types in a running Python process:
 
   .. code-block:: python
 
-    import sys
-    import tempfile
-    import os
-
-    # Create a temporary script
-    with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
-        script_path = f.name
-        f.write("""
-    import gc
-    import collections
-
-    # Collect all objects managed by the garbage collector
-    gc.collect()
-
-    # Count objects by type
-    type_counts = collections.Counter(type(obj).__name__
-                                      for obj in gc.get_objects())
-
-    # Print the most common types
-    print("Most common object types in process:")
-    for type_name, count in type_counts.most_common(10):
-        print(f"  {type_name}: {count}")
-    """)
-
-    try:
-        # Execute in process with PID 1234
-        print("Behold! An offering:")
-        sys.remote_exec(1234, script_path)
-    finally:
-        os.unlink(script_path)
+     import sys
+     import tempfile
+     import os
+
+     # Create a temporary script
+     with tempfile.NamedTemporaryFile(mode='w', suffix='.py', delete=False) as f:
+         script_path = f.name
+         f.write("""
+     import gc
+     import collections
+
+     # Collect all objects managed by the garbage collector
+     gc.collect()
+
+     # Count objects by type
+     type_counts = collections.Counter(type(obj).__name__
+                                       for obj in gc.get_objects())
+
+     # Print the most common types
+     print("Most common object types in process:")
+     for type_name, count in type_counts.most_common(10):
+         print(f"  {type_name}: {count}")
+     """)
+
+     try:
+         # Execute in process with PID 1234
+         print("Behold! An offering:")
+         sys.remote_exec(1234, script_path)
+     finally:
+         os.unlink(script_path)
 
 The debugging interface has been carefully designed with security in mind and includes several
 mechanisms to control access: