Gold Rush: The Game Serial Keygolkes
.. /stories/3105027-gold-rush-the-game-serial-keygolkes-janyalyc
You can't see the string of code at the end:
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A:
I've found the answer: 
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
driver = webdriver.Chrome()
driver.get("")
#print(driver.title)
wait = WebDriverWait(driver, 5)
element = wait.until(
            lambda d: d.find_element_by_tag_name('body')
            )
element.click()
wait.until(
        lambda d: d.find_element_by_link_text('xbox.com/help/genuinestories').is_enabled()
        )
element.send_keys("30")
This is the full code. It's working fine for me.
Optical computing has been one of the fastest growing areas in the microprocessor industry, where a number of optical approaches have been developed which offer the advantages of speed, high throughput, parallelism and low power dissipation. Such methods include optical waveguide switches, optical logic gates, optical interconnects, optical routers, optical computing arrays and optical memory.
Optical computing has two main advantages over other computing methods: (1) speed; (2) the ability to scale a computing network as the number of network nodes increases, so that the cost of the computing network remains relatively constant, even as the scale increases. However, optical computing has been hindered by the inability to economically implement optical computation in large-scale networks. There are various reasons for this inability. One reason is that, since current optical interconnects and logic gates are limited to less than 10 Gb/sec, current optical computing arrays are limited to a maximum of 1,024 computing cells, and current optical computing memory arrays are limited to a maximum of 512 data bits. There are many reasons for these limits.
In an optical computing array, using a diffraction grating, the optical switches in the optical inter
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