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# Load the test data
def open_test_data(path):
test = []
with open(path, 'r') as f:
reader = csv.reader(f)
lines = list(reader)
image_number = 1
for line in tqdm(lines[1:]):
image = np.array([x for x in line])
image = image.astype('float32')
image = np.reshape(image, (28, 28, 1))
test.append([image, image_number])
image_number += 1
return np.array(test)
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