Multiprocessing Snippets

Python/MultiProcessing/multiprocessing-demo.py

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+import concurrent.futures
+import time
+
+start = time.perf_counter()
+
+
+def do_something(seconds):
+    print(f'Sleeping {seconds} second(s)...')
+    time.sleep(seconds)
+    return f'Done Sleeping...{seconds}'
+
+
+with concurrent.futures.ProcessPoolExecutor() as executor:
+    secs = [5, 4, 3, 2, 1]
+    results = executor.map(do_something, secs)
+
+    # for result in results:
+    #     print(result)
+
+finish = time.perf_counter()
+
+print(f'Finished in {round(finish-start, 2)} second(s)')

Python/MultiProcessing/process-images.py

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+
+import time
+import concurrent.futures
+from PIL import Image, ImageFilter
+
+img_names = [
+    'photo-1516117172878-fd2c41f4a759.jpg',
+    'photo-1532009324734-20a7a5813719.jpg',
+    'photo-1524429656589-6633a470097c.jpg',
+    'photo-1530224264768-7ff8c1789d79.jpg',
+    'photo-1564135624576-c5c88640f235.jpg',
+    'photo-1541698444083-023c97d3f4b6.jpg',
+    'photo-1522364723953-452d3431c267.jpg',
+    'photo-1513938709626-033611b8cc03.jpg',
+    'photo-1507143550189-fed454f93097.jpg',
+    'photo-1493976040374-85c8e12f0c0e.jpg',
+    'photo-1504198453319-5ce911bafcde.jpg',
+    'photo-1530122037265-a5f1f91d3b99.jpg',
+    'photo-1516972810927-80185027ca84.jpg',
+    'photo-1550439062-609e1531270e.jpg',
+    'photo-1549692520-acc6669e2f0c.jpg'
+]
+
+t1 = time.perf_counter()
+
+size = (1200, 1200)
+
+
+def process_image(img_name):
+    img = Image.open(img_name)
+
+    img = img.filter(ImageFilter.GaussianBlur(15))
+
+    img.thumbnail(size)
+    img.save(f'processed/{img_name}')
+    print(f'{img_name} was processed...')
+
+
+with concurrent.futures.ProcessPoolExecutor() as executor:
+    executor.map(process_image, img_names)
+
+
+t2 = time.perf_counter()
+
+print(f'Finished in {t2-t1} seconds')