I use this function to extract rgb values from images:
def get_rgb_and_rgba_values_for_next_three_pixels(image_data, pixel_type):
if pixel_type == "rgb":
rgba_values = []
rgb_values = [image_data.next()[:3], image_data.next()[:3], image_data.next()[:3]]
else:
rgba_values = [image_data.next()[:4], image_data.next()[:4], image_data.next()[:4]]
rgb_values = [rgba_values[0][:3], rgba_values[1][:3], rgba_values[2][:3]]
return [rgba_values, rgb_values]
Output:
[[(255, 255, 255), (255, 255, 255), (255, 255, 255)], [(255, 255, 255, 0), (255, 255, 255, 0), (255, 255, 255, 0)]]
then I use this function to change all lsbs to 0:
def set_least_significant_bit_to_zero(rgb_values):
return [value & ~1 for value in rgb_values[0][:3] + rgb_values[1][:3] + rgb_values[2][:3]]
Output:
[254, 254, 254, 254, 254, 254, 254, 254, 254]
My question is: how do I achieve exactly the same thing but without using list comprehensions in second function?
There's no reason to avoid the list comprehension - it is readable, Pythonic, and efficient - however, if you insist you can construct a result list by iterating over the values, appending the new value to the result list, and then returning the result from the function:
def set_least_significant_bit_to_zero(rgb_values):
result = []
for value in rgb_values[0][:3] + rgb_values[1][:3] + rgb_values[2][:3]:
result.append(value & ~1)
return result
You could also use itertools.chain()
to make the for
loop iterable:
import itertools
def set_least_significant_bit_to_zero(rgb_values):
result = []
for value in itertools.chain(rgb_values[0][:3], rgb_values[1][:3], rgb_values[2][:3]):
result.append(value & ~1)
return result
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