Дмитрий

# as first layer in a sequential model:
model = Sequential()
model.add(Dense(32, input_shape=(16,)))
# now the model will take as input arrays of shape (*, 16)
# and output arrays of shape (*, 32)

# after the first layer, you don't need to specify
# the size of the input anymore:
model.add(Dense(32))

>>> import numpy as np
>>> 
>>> foo = 'blah blah'
>>> arr = np.random.randint(1, 99, len(foo))
>>> arr
array([40, 65, 39, 91, 55, 39, 38, 54, 48])

from pathlib import Path

file_path = Path(__file__).parent.joinpath(r'Sounds/Weapons/Pistols/P92/P92 BULLET.wav')

bulletSound = pg.mixer.Sound(file_path)

for channel in arr:
    try:
        driver.execute_script("arguments[0].scrollIntoView();", channel)
        channel.click()

page = browser.get('file:///C:/page.html').page_source

>>> [x[0] for x in zip([1, 2, 3, 4, 5], [2, 2, 3, 7, 5]) if x[0]==x[1]]
[2, 3, 5]