human
I am working on the file "Latency.ipynb".
The first task is:
Finally, we make the call that will run our function. We use a module called timeit for this purpose. Again, this follows the Python theme of "don't roll your own, when experts have done it for you". If you're that ambitious, it is better to improve their code if you can than start from scratch, everybody wins. timeit is a core module and, supposedly, avoids a number of common function timing pitfalls.
To use it, you supply a routine to test timings for as the first argument, and the number of repeats as the second. Please keep that number argument in there, as the default is 100,000 and I would rather you all didn't hit my server with 100M of socket traffic at the same time.
Another feature of Python has been slipped in there at the same time. You can see a lambda function. This is a very simple construct of the form:
python
lambda arg1, arg2: statement_using(arg1 + arg2)
It is equivalent to
python
def func(arg1, arg2):
    return statement_using(arg1 + arg2)
Basically, anywhere we would use "func", passing it as a callback or whatever, we can swap our anonymous lambda function. In this particular case, timeit will always call the function in the first argument with no arguments, but we need to pass the socket to our routine. How do we solve this? By creating a function that timeit can call with no arguments, but that forwards the call on to round_trip with the skt variable shoehorned in.
Why don't we just name a function and forget about lambda? It is subjective, but here it is likely to confuse our code - what we need is a single line function that gets called with no arguments and calls round_trip with one. If we add another routine called round_trip_caller or something like that, on first glance we will wonder where it is being used and why, it doubles the number of def blocks in our code, and adds a couple of extra source lines that don't really clarify anything that a good comment wouldn't fix.
Hit F5, or go to Run-&gt;Run
If you get a dialog saying "Run Settings", choose "Execute in a new dedicated...
Can you write Python code for it?
 Hereever, we can swap our anonymous lambda function?
assistant
#Hereever, we can swap our anonymous lambda function.

# Threads are given identifiers as integers 1-N
# This is easier to handle in numpy
threads = [threading.Thread(target=run) for i in range(thread_count)]

# The items method turns a module into pairs (tuples) of key and value
for thread in threads:
    thread.start()

# Wait for all threads to complete
for thread in threads:
    thread.join()