pytest-benchmark | py.test fixture for benchmarking code | Performance Testing library

$ py.test-benchmark compare --group-by name tests/performance/results/initial_baseline.json tests/performance/results/*${USER}.json                                                                   

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     _                               __         _                            _
    | |  ___    __ _          ___   / _|       | |  ___   __ _  _ __  _ __  (_) _ __    __ _
    | | / _ \  / _` | _____  / _ \ | |_  _____ | | / _ \ / _` || '__|| '_ \ |   

name: nbdev
channels:
  - fastai
  - defaults
  - conda-forge
dependencies:
  - _r-mutex
  - _tflow_select
  - absl-py
  - alabaster

name: nbdev
channels:
  - fastai
  - defaults
  - conda-forge
dependencies:
  - p

import threading
import pytest


def compute_variant1(N: int) -> int:
    global sum_
    global i
    sum_ = 0
    i = 1
    lock = threading.Lock()
    def thread_worker():
        global sum_
        global i
        lock.acquire()
 

@pytest.fixture(scope='function', autouse=True)
def testcase_result(request):
    print("Test '{}' STARTED".format(request.node.nodeid))
    def fin():
        print("Test '{}' COMPLETED".format(request.node.nodeid))
        print("Test '{

def classifier_predict(input_features):
    # do something smart, but maybe too time-consuming
    return result

def input_generator():
    # Generate something random which classifier_predict
    # can work on - don't measure this time!

import os

def f1(top):
    for root, dirs, files in os.walk(top):
        for f in files:
            path = os.path.join(root, f)
            print(path)

def f2(top):
    for root, dirs, files in os.walk(top):
        for f in files: