Docbench -- Benchmark with Doctest

## Project description

Docbench is a framework based on doctest to benchmark Python code. If you already are familiar with doctest, you should be able to use docbench in minutes. And if you find that doctest is convenient – or Pythonic – hopefully you will feel the same about docbench !

We will walk you through the use of docbench with a simple use case: a module that computes prime numbers.

Create a `primes.py` file and define the `primes` function:

def primes(n): p = [] for i in range(2, n+1): for j in range(2, i): if (i % j == 0): break else: p.append(i) return p

The function returns an ordered list of primes numbers up to the number
`n`. Its implementation is simple but the execution takes a lot of
time when `n` grows. The following `sieve` function should return
the same result, but performs less computations and therefore should be
faster.

def sieve(n): p = [] for i in range(2, n+1): prime = True for j in p: if j * j > i: break if (i % j == 0): prime = False break if prime: p.append(i) return p

## Doctest – Does it Work ?

**If you already know doctest, you may skip this section.**

Testing this module with doctest is pretty straightforward: create a
`test.py` file with a function `test_primes` with no implementation
but a doctest for the `primes` function:

def test_primes(): """ >>> from primes import primes >>> n = 50 >>> primes(n) [2, 3, 5, 7, 11, 13, 17, 19, 23, 29, 31, 37, 41, 43, 47] """

You are pretty confident that if `test_primes` doctest works as
advertised in this doctest, the `primes` function behaves correctly.
Therefore, you may now test `sieve` against `primes`:

def test_sieve(): """ >>> from primes import primes, sieve >>> n = 10000 >>> primes(n) == sieve(n) True """

Finally, add the following boilerplate a the end of your file:

if __name__ == "__main__": import doctest doctest.testmod()

You are ready to execute this test suite with:

$ python test.py

No error displayed ? The `primes` module has successfully passed all
tests !

## Docbench – Is is Fast ?

Create a new file name `benchmark.py`. Add functions that act as
docbench holders for the function `primes` and `sieve`. We rely on
the convention that only the time spent in the last statement of any
docbench will be measured, the previous ones are considered setup code.

def benchmark_primes(): """ >>> from primes import primes >>> n = 10000 >>> primes(n) """ def benchmark_sieve(): """ >>> from primes import sieve >>> n = 10000 >>> sieve(n) """

Add the following boilerplate at the end of your file:

if __name__ == "__main__": import docbench docbench.benchmod()

Run your benchmark with:

$ python benchmark.py

You should end up with an output similar too:

Benchmark Time ------------------------- ---------------- __main__.benchmark_primes 1.03 __main__.benchmark_sieve 0.00876

Indeed, `sieve` is quite faster than `primes` !

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