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-rw-r--r--docs/reference/speed_python.rst6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/reference/speed_python.rst b/docs/reference/speed_python.rst
index aa9777859..a563b2d36 100644
--- a/docs/reference/speed_python.rst
+++ b/docs/reference/speed_python.rst
@@ -123,7 +123,7 @@ This is a process known as profiling and is covered in textbooks and
(for standard Python) supported by various software tools. For the type of
smaller embedded application likely to be running on MicroPython platforms
the slowest function or method can usually be established by judicious use
-of the timing ``ticks`` group of functions documented in `utime`.
+of the timing ``ticks`` group of functions documented in `time`.
Code execution time can be measured in ms, us, or CPU cycles.
The following enables any function or method to be timed by adding an
@@ -134,9 +134,9 @@ The following enables any function or method to be timed by adding an
def timed_function(f, *args, **kwargs):
myname = str(f).split(' ')[1]
def new_func(*args, **kwargs):
- t = utime.ticks_us()
+ t = time.ticks_us()
result = f(*args, **kwargs)
- delta = utime.ticks_diff(utime.ticks_us(), t)
+ delta = time.ticks_diff(time.ticks_us(), t)
print('Function {} Time = {:6.3f}ms'.format(myname, delta/1000))
return result
return new_func