This Python code uses the `memory_profiler` library to measure the...

This Python code uses the memory_profiler library to measure the memory usage of a function, in this case, a lambda function that runs algo(dataset[:]).

Breaking it down:

• memory_profiler.memory_usage(): This is a function from the memory_profiler library used to monitor memory usage during the execution of some code.
• lambda: algo(dataset[:]): A lambda function (an anonymous inline function) that evaluates the call to algo with dataset[:]. The slicing operation dataset[:] creates a shallow copy of the dataset. This means the memory usage of algo(dataset[:]) depends on the shallow copy passed to it.
• max_usage=True: This argument specifies that memory_profiler.memory_usage() should return the peak memory usage during the execution of the provided lambda function.

Purpose:

The code assigns the peak memory usage (in MiB) of running the function algo with dataset[:] to the variable mem_usage.