Python 3.11.1 (tags/v3.11.1:a7a450f, Dec 6 2022, 19:58:39) [MSC v.1934 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license()" for more information. from bs4 import BeautifulSoup from selenium.webdriver import Chrome from selenium import webdriver from selenium.webdriver.chrome.service import Service import time s = Service('C:\Users\rusta\OneDrive\Рабочий стол\драйвер\chromedriver.exe') SyntaxError: incomplete input s = Service('C:/Users/rusta/OneDrive/Рабочий стол/драйвер/chromedriver.exe') browser = webdriver.Chrome(service=s) browser.get('https://1whis.pro/bets/prematch/18/117/4406/11187162') html_text = browser.page_source soup = BeautifulSoup(html_text, 'lxml') stavka=soup.find_all('span', class_='odd-coefficient') print (films[0].text) Traceback (most recent call last): File "", line 1, in print (films[0].text) NameError: name 'films' is not defined print (stavka[0].text) Traceback (most recent call last): File "", line 1, in print (stavka[0].text) IndexError: list index out of range stavka=soup.find_all('span data-v-490bec7b', class_='odd-coefficient') print (stavka[0].text) Traceback (most recent call last): File "", line 1, in print (stavka[0].text) IndexError: list index out of range print(stavka[0]) Traceback (most recent call last): File "", line 1, in print(stavka[0]) IndexError: list index out of range print(stavka) [] stavka=soup.find_all('li data-v-f9d6adfa', class_='odds-item') print(stavka) [] print(stavka.text) Traceback (most recent call last): File "", line 1, in print(stavka.text) File "C:\Users\rusta\AppData\Local\Programs\Python\Python311\Lib\site-packages\bs4\element.py", line 2308, in __getattr__ raise AttributeError( AttributeError: ResultSet object has no attribute 'text'. You're probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()? stavki=soup.find_all('span', class_='odd-coefficient') print(stavki.text) Traceback (most recent call last): File "", line 1, in print(stavki.text) File "C:\Users\rusta\AppData\Local\Programs\Python\Python311\Lib\site-packages\bs4\element.py", line 2308, in __getattr__ raise AttributeError( AttributeError: ResultSet object has no attribute 'text'. You're probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()? sstavki = bs.find('span', 'odd-coefficient') Traceback (most recent call last): File "", line 1, in sstavki = bs.find('span', 'odd-coefficient') NameError: name 'bs' is not defined. Did you mean: 's'? stavki=soup.find_all('span', class_='odd-coefficient') print (stavki[0].text) Traceback (most recent call last): File "", line 1, in print (stavki[0].text) IndexError: list index out of range print(stavki.text) Traceback (most recent call last): File "", line 1, in print(stavki.text) File "C:\Users\rusta\AppData\Local\Programs\Python\Python311\Lib\site-packages\bs4\element.py", line 2308, in __getattr__ raise AttributeError( AttributeError: ResultSet object has no attribute 'text'. You're probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()? browser.get('https://1whis.pro/bets/prematch/18/512/3370/11177828') browser.get('https://1whis.pro/bets/prematch/18/144/1000/10973252') html_text = browser.page_source soup = BeautifulSoup(html_text, 'lxml') stavki=soup.find_all('span', class_='odd-coefficient') print(stavki.text) Traceback (most recent call last): File "", line 1, in print(stavki.text) File "C:\Users\rusta\AppData\Local\Programs\Python\Python311\Lib\site-packages\bs4\element.py", line 2308, in __getattr__ raise AttributeError( AttributeError: ResultSet object has no attribute 'text'. You're probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()? print(stavki) [1.34, 5.12, 9.99, 7.4, 2.28, 1.04, 1.59, 1.01, 1.15, 1.31, 1.6, 2.02, 2.69, 3.58, 5.49, 11.17, 4.83, 3.15, 2.2, 1.71, 1.41, 1.25, 1.11, 1.19, 1.38, 1.73, 2.24, 3.1, 4.24, 6.64, 1.05, 7.74, 4.23, 2.83, 1.99, 1.58, 1.32, 1.18, 1.08, 1.33, 1.66, 2.24, 3.11, 3.17, 2.14, 1.6, 1.34, 2.62, 5.59, 9.28, 1.45, 1.12, 1.04, 5.94, 198.99, 198.99, 495, 495, 495, 495, 495, 495, 495, 495, 5.45, 7.92, 7.92, 10.89, 22.77, 13.86, 17.82, 50.49, 198.99, 30.69, 45.54, 99.99, 198.99, 198.99, 80.19, 99.99, 198.99, 198.99, 198.99, 198.99, 198.99, 198.99, 198.99, 198.99, 198.99, 495, 495, 198.99, 198.99, 198.99, 198.99, 495, 495, 495, 495, 198.99, 198.99, 198.99, 495, 495, 495, 495, 495, 495, 14.85, 9.7, 198.99, 198.99, 198.99, 198.99, 198.99, 9.4, 198.99, 198.99, 198.99, 198.99, 198.99, 495, 25.74, 198.99, 198.99, 198.99, 198.99, 198.99, 495, 99.99, 198.99, 198.99, 198.99, 198.99, 495, 495, 198.99, 198.99, 198.99, 198.99, 495, 495, 495, 198.99, 198.99, 495, 495, 495, 495, 495, 495, 495, 495, 495, 495, 495, 495, 495, 495, 495, 495, 495, 495, 18.81, 45.54, 174.24, 198.99, 198.99, 22.77, 90.09, 198.99, 198.99, 90.09, 198.99, 198.99, 10.96, 9.8, 7.62, 5, 1.06, 1.14, 8.5, 14.36, 4.15, 9.8, 1.18, 1.04, 7.51, 29.7, 3.88, 13.37, 1.23, 1.01, 7.22, 37.62, 3.46, 26.73, 1.01, 1.28, 8.05, 52.47, 3.27, 33.66, 1.02, 1.29, 8.14, 1.02, 3.08, 3.6, 2.08, 2.04, 3.44, 6.55, 15, 23, 1.03, 3.44, 3.98, 5.9, 10, 17, 10, 19.96, 3.34, 1.84, 1.28, 1.05, 1.01, 19, 32.29, 4.33, 1.18, 63.36, 1.58, 2.6, 5.31, 10.47, 29.87, 50.54, 2.77, 1.49, 1.13, 1.26, 1.88, 2.95, 5.5, 4.92, 3.61, 3.91, 5.8, 9.77, 3.44, 1.98, 1.34, 6.5, 2.73, 1.73, 1.33, 4.27, 9.72, 2.73, 1.38, 7.4, 1.04, 1.73, 1.96, 10.55, 3.18, 3.08, 2.22, 2.5, 1.43, 7.66, 1.03, 3.68, 1.21, 3.91, 1.18, 6.07, 1.07, 2.73, 1.36, 10.35, 2.32, 1.5, 13.86, 8.72, 1.01, 6.02, 1.07, 5.06, 1.11, 11.61, 5.06, 1.11, 18.81, 4.75, 1.16, 45.54, 11.38, 1.01, 1.11, 1.9, 5.59, 2.65, 5.77, 11.6, 5.1, 1.7, 1.09, 1.39, 1.08, 8.18, 56.43, 1.02, 1.54, 3.37, 1.29, 2.38, 7.03, 2.11, 1.62, 1.3, 2.87, 5.75, 1.06, 1.59, 2.03, 2.43, 1.41, 2.41, 1.42, 2.44, 6.93, 3.46, 3.33, 4.26, 2.54, 5.54, 9.7, 4.89, 3.68, 4, 5.74, 9.6, 1.14, 1.26, 2.13, 1.92, 3.86, 3.37, 1.6, 1.7, 3.01, 5.45, 11.88, 39.6, 1.36, 3.76, 1.19, 1.24, 4.32, 1.13, 1.06, 1.18, 3.39, 9.8, 8.8, 3.54, 2.82, 1.96, 1.53, 1.34, 1.13, 1.1, 1.01, 1.03, 1.01, 1.03, 1.26, 1.41, 1.85, 2.44, 3.04, 4.9, 5.5, 9.7, 12, 19.35, 28.33, 1.07, 1.51, 1.99, 2.82, 3.44, 6, 6.55, 14.64, 15.11, 7.2, 2.52, 1.79, 1.42, 1.28, 1.09, 1.06, 1.01, 1.01, 1.09, 1.53, 1.98, 2.67, 5.42, 11.83, 6.86, 2.45, 1.8, 1.46, 1.14, 1.03, 1.96, 3.9, 5.58, 1.82, 1.23, 1.14, 1.33, 1.57, 2.28, 3.74, 7, 4.3, 4.8, 6.91, 11, 17, 9.8, 3.54, 2.01, 1.34, 1.1, 5.02, 1.55, 3.76, 1.31, 1.09, 2.11, 1.17, 2.8, 2.89, 1.98, 2, 1.87, 1.29, 1.62, 1.61, 1.71, 1.85, 3.28, 1.45, 2.94, 1.73, 1.23, 2.33, 1.28, 1.52, 5.36, 1.19, 5.26, 2.16, 1.07, 3.58, 1.08, 1.32, 9.48, 1.07, 9.53, 2.74, 5.41, 4.04, 1.17, 1.8, 21.78, 66.33, 14.85, 9.9, 3.8, 6.83, 18.81, 25.74, 23.76, 16.83, 1.68, 2.02, 1.18, 4.25, 2.8, 1.37, 1.59, 2.12, 13.86, 5.1, 2.87, 6.83, 3.8, 18.81, 55.44, 12.87, 24.75, 2.55, 5.09, 3.34, 4.45, 2.45, 1.47, 2.47, 1.81, 8.91, 1.84, 6.68, 2.28, 14.85, 3.27, 20.79, 6.43, 18.81, 14.85, 9.4, 18.81, 6.93, 6.5, 6.43, 7.92, 10.89, 10.89, 8.91, 14.85, 33.66, 7.42, 18.81, 14.85, 2.5, 18.81, 8.91, 6, 9.9, 14.85, 6.5, 6.5, 18.81, 6.43, 4.5, 2.4, 7.5, 18.81, 20.79, 22.77, 9.4, 28.71, 7.5, 25.74, 11.88, 6, 28.71, 7.92, 9.4, 28.71, 18.81, 1.08, 1.47, 1.09, 1.08, 1.08, 1.16, 1.51, 1.06, 1.06, 1.09, 2.68, 3.61, 5.43, 3.35, 1.39, 1.23, 1.1, 1.26, 2.69, 1.37, 21.78, 3.46, 3.72, 5.84, 1.94, 2.6, 3.66, 8.91, 27.72, 59.4, 7.06, 20.79, 99.99, 1.29, 1.2, 1.11, 1.71, 1.45, 1.01, 1.04, 5.35, 5.06, 1.57, 3.89, 8.5, 198.99, 14.85, 297.99, 45.54, 248.49, 198.99, 80.19, 248.49, 50.49, 45.54, 45.54, 60.39, 99.99, 99.99, 99.99, 198.99, 347.49, 80.19, 248.49, 198.99, 9.4, 248.49, 70.29, 50.49, 99.99, 198.99, 33.66, 16.83, 248.49, 45.54, 14.85, 8.7, 99.99, 248.49, 297.99, 297.99, 80.19, 396.99, 18.81, 396.99, 297.99, 50.49, 396.99, 60.39, 80.19, 396.99, 248.49, 28.71, 495.99, 70.29, 495.99, 248.49, 495.99, 495.99, 495.99, 495.99, 297.99, 248.49, 248.49, 396.99, 495.99, 495.99, 396.99, 495.99, 495.99, 248.49, 495.99, 495.99, 25.74, 495.99, 495.99, 297.99, 495.99, 495.99, 198.99, 80.19, 495.99, 248.49, 70.29, 24.75, 495.99, 495.99, 495.99, 495.99, 495.99, 495.99, 99.99, 495.99, 495.99, 297.99, 495.99, 396.99, 495.99, 495.99, 495.99, 1.02, 1.03, 6.14, 1.07, 1.92, 1.79, 4.51, 2.35, 1.6, 1.86, 3.16, 3.24, 4.12, 1.14, 1.48, 1.92, 1.68, 1.28, 1.26, 1.17, 1.6, 2.88, 5.83, 2.1, 1.33, 1.08, 5.35, 1.12, 2.48, 1.48, 3.37, 3.69, 1.21, 1.22, 1.81, 9.25, 1.02, 6.45, 1.04, 14.85, 1.72, 2.73, 8.41, 32.67, 6.53, 25.74, 47.52, 2.25, 1.48, 1.23, 3.27, 2.45, 1.4, 10.08, 1.05, 5.29, 4.22, 1.23, 1.42, 1.7, 2.09, 2.62, 3.31, 1.13, 3.25, 2.39, 1.88, 1.56, 1.35, 1.22, 4.19, 4.39, 1.53, 8.21, 7.63, 4.06, 3.47, 2.37, 1.96, 1.63, 1.38, 1.28, 1.01, 1.14, 1.2, 1.43, 1.64, 1.98, 2.51, 2.96, 1.21, 1.71, 2.74, 5.94, 3.39, 1.87, 1.32, 1.05, 1.02, 1.48, 1.86, 3.03, 2, 1.44, 1.14, 1.1, 1.02, 1.37, 1.79, 2.73, 5.55, 6.79, 12.78, 1.13, 3.07, 4.34, 10.09, 11.05, 5.05, 1.33, 1.18, 1.02, 1.01, 1.56, 2.42, 3.7, 9, 11, 2.33, 1.52, 1.25, 1.04, 1.02, 3.4, 13, 1.29, 1.01, 1.71, 5.67, 3.03, 7.53, 11.77, 2.28, 6.19, 1.01, 1.47, 1.04, 6.97, 1.9, 1.02, 1.68, 6.52, 1.87, 1.03, 1.71, 3.68, 2.46, 2.38, 1.74, 1.94, 3.01, 4.16, 8.91, 1.42, 1.22, 1.63, 2.87, 2.08, 1.39, 2.7, 18.81, 1.1, 1.34, 6.73, 2.51, 7.87, 1.05, 1.24, 4.3, 18.81, 20.79, 40.59, 7.42, 1.02, 9.7, 1.03, 1.34, 2.11, 3.96, 2.77, 1.73, 1.3, 1.19, 1.06, 1.05, 1.22, 1.41, 2.04, 3.31, 4.31, 7.4, 8.74, 1.12, 2.32, 3.24, 6.79, 7.78, 5.29, 1.54, 1.3, 1.07, 1.05, 1.38, 1.81, 2.74, 5.45, 6.9, 2.9, 1.94, 1.42, 1.13, 1.08, 2.9, 9.41, 12.75, 1.38, 1.04, 1.01, 1.54, 5.23, 4.03, 3.16, 2.61, 1.87, 2.07, 1.25, 1.36, 1.71, 1.57, 2.12, 4.42, 1.29, 4.22, 1.54, 1.12, 2.89, 1.13, 1.72, 8.83, 1.12, 8.18, 1.85, 4.4, 3.32, 8.3, 19, 28.49, 1.04, 2.91, 5.05, 11, 20.63, 8.5, 2.13, 1.31, 1.02, 23, 13.1, 3.63, 1.34, 1.56, 2.22, 3.13, 1.25, 2.6, 1.36, 2.96, 2.51, 4.16, 2.71, 7.42, 7.1, 1.06, 4, 3.54, 6.43, 1.42, 1.29, 1.53, 2.3, 2.28, 1.53, 2.04, 10.89, 1.17, 1.18, 4.36, 2.75, 3.19, 1.24, 1.1, 15.95, 6.62, 1.78, 1.61, 1.45, 1.38, 1.22, 1.12, 1.06, 1.01, 5.94, 4.04, 2.54, 2.32, 1.98, 1.79, 2.01, 2.32, 2.54, 3.31, 4.37, 5.75, 7.74, 9.45, 11.77, 1.05, 1.15, 1.38, 1.45, 1.62, 1.21, 1.65, 2.44, 3.71, 5.69, 8.5, 9.38, 3.39, 1.95, 1.41, 1.18, 1.06, 2.31, 1.16, 1.17, 1.14, 1.27, 1.79, 2.62, 3.39, 8.03, 4.08, 2.98, 1.79, 1.35, 1.21, 1.81, 2.42, 8.2, 5.7, 1.13, 1.5, 2.25, 3.44, 5.98, 2.48, 1.6, 1.28, 1.11, 1.49, 2.17, 3.72, 6.02, 1.1, 6.12, 2.52, 1.64, 1.25, 1.11, 1.8, 3.07, 1.94, 1.34, 3.07, 6.43, 18.81, 18.81, 40.59, 80.19, 45.54, 70.29, 495, 495, 80.19, 495, 495, 495, 495, 14.85, 3.01, 99.99, 8.41, 99.99, 495, 55.44, 495, 495, 495, 495, 495, 495, 495, 495, 8.91, 40.59, 80.19, 99.99, 40.59, 90.09, 90.09, 2.89, 3.42, 1.55, 2.68, 1.29, 1.21, 2.11, 1.34, 2.11, 6.27, 1.17, 6.1, 1.55, 1.04, 3.76, 1.05, 1.81, 1.07, 1.76, 5.34, 4.5, 12, 26, 1.03, 2.83, 6.15, 13, 8.5, 1.88, 1.19, 1.01, 29, 1.71, 5.67, 3.03, 9.5, 1.01, 2.87, 1.33, 7.73, 1.03, 2.34, 1.49, 2.34, 1.49, 2.05, 1.68, 2.37, 2.45, 4.95, 3.66, 10.89, 3.03, 1.27, 3.27, 1.23, 1.62, 2.91, 7.9, 4.07, 1.2, 1.29, 1.73, 2.43, 3.77, 3.37, 2.03, 1.52, 1.24, 1.39, 1.87, 2.83, 4.37, 2.87, 1.87, 1.4, 1.19, 1.5, 2.26, 2.47, 1.59, 4.49, 1.18, 3.27, 5.74, 14.85, 12.87, 33.66, 70.29, 35.64, 60.39, 495, 495, 66.33, 495, 495, 495, 495, 14.85, 4, 90.09, 8.41, 90.09, 495, 45.54, 495, 495, 495, 495, 495, 495, 495, 495, 9.9, 40.59, 80.19, 90.09, 35.64, 80.19, 80.19, 7.82, 11.14, 2.85, 5.36, 1.01, 1.3, 1.07, 7.07, 2.22, 1.02, 1.5, 6.34, 2.14, 1.04, 1.53, 2.72, 2.52, 2.97, 1.55, 5.13, 4.02, 1.87, 1.83, 6.83, 1.03, 9.24, 1.34, 3.68, 14.85, 13.37, 35.64, 8.09, 1.02, 3.78, 1.2, 6.89, 1.05, 2.8, 1.35, 2.8, 1.35] print(stavki.text) Traceback (most recent call last): File "", line 1, in print(stavki.text) File "C:\Users\rusta\AppData\Local\Programs\Python\Python311\Lib\site-packages\bs4\element.py", line 2308, in __getattr__ raise AttributeError( AttributeError: ResultSet object has no attribute 'text'. You're probably treating a list of elements like a single element. Did you call find_all() when you meant to call find()? print(stavki[0].text) 1.34 for i in (0, 735): print(stavki[i].text) SyntaxError: expected an indented block after 'for' statement on line 1 for i in (0, 735): print(stavki[i].text) 1.34 1.12 a = 0 while a <= 735: ... a += 1 ... print(stavki[i].text) ... ... 1.12 1.12 1.12 1.12 1.12 1.12 1.12 1.12 1.12 1.12 1.12 Traceback (most recent call last): File "", line 3, in print(stavki[i].text) KeyboardInterrupt >>> while a <= 735: ... a += 1 ... print(stavki[a].text) ... ... 2.69 3.58 5.49 11.17 4.83 3.15 2.2 1.71 1.41 1.25 1.11 1.19 1.38 1.73 2.24 3.1 4.24 6.64 1.05 7.74 4.23 2.83 1.99 1.58 1.32 1.18 1.08 1.33 1.66 2.24 3.11 3.17 2.14 1.6 1.34 2.62 5.59 9.28 1.45 1.12 1.04 5.94 198.99 198.99 495 495 495 495 495 495 495 495 5.45 7.92 7.92 10.89 22.77 13.86 17.82 50.49 198.99 30.69 45.54 99.99 198.99 198.99 80.19 99.99 198.99 198.99 198.99 198.99 198.99 198.99 198.99 198.99 198.99 495 495 198.99 198.99 198.99 198.99 495 495 495 495 198.99 198.99 198.99 495 495 495 495 495 495 14.85 9.7 198.99 198.99 198.99 198.99 198.99 9.4 198.99 198.99 198.99 198.99 198.99 495 25.74 198.99 198.99 198.99 198.99 198.99 495 99.99 198.99 198.99 198.99 198.99 495 495 198.99 198.99 198.99 198.99 495 495 495 198.99 198.99 495 495 495 495 495 495 495 495 495 495 495 495 495 495 495 495 495 495 18.81 45.54 174.24 198.99 198.99 22.77 90.09 198.99 198.99 90.09 198.99 198.99 10.96 9.8 7.62 5 1.06 1.14 8.5 14.36 4.15 9.8 1.18 1.04 7.51 29.7 3.88 13.37 1.23 1.01 7.22 37.62 3.46 26.73 1.01 1.28 8.05 52.47 3.27 33.66 1.02 1.29 8.14 1.02 3.08 3.6 2.08 2.04 3.44 6.55 15 23 1.03 3.44 3.98 5.9 10 17 10 19.96 3.34 1.84 1.28 1.05 1.01 19 32.29 4.33 1.18 63.36 1.58 2.6 5.31 10.47 29.87 50.54 2.77 1.49 1.13 1.26 1.88 2.95 5.5 4.92 3.61 3.91 5.8 9.77 3.44 1.98 1.34 6.5 2.73 1.73 1.33 4.27 9.72 2.73 1.38 7.4 1.04 1.73 1.96 10.55 3.18 3.08 2.22 2.5 1.43 7.66 1.03 3.68 1.21 3.91 1.18 6.07 1.07 2.73 1.36 10.35 2.32 1.5 13.86 8.72 1.01 6.02 1.07 5.06 1.11 11.61 5.06 1.11 18.81 4.75 1.16 45.54 11.38 1.01 1.11 1.9 5.59 2.65 5.77 11.6 5.1 1.7 1.09 1.39 1.08 8.18 56.43 1.02 1.54 3.37 1.29 2.38 7.03 2.11 1.62 1.3 2.87 5.75 1.06 1.59 2.03 2.43 1.41 2.41 1.42 2.44 6.93 3.46 3.33 4.26 2.54 5.54 9.7 4.89 3.68 4 5.74 9.6 1.14 1.26 2.13 1.92 3.86 3.37 1.6 1.7 3.01 5.45 11.88 39.6 1.36 3.76 1.19 1.24 4.32 1.13 1.06 1.18 3.39 9.8 8.8 3.54 2.82 1.96 1.53 1.34 1.13 1.1 1.01 1.03 1.01 1.03 1.26 1.41 1.85 2.44 3.04 4.9 5.5 9.7 12 19.35 28.33 1.07 1.51 1.99 2.82 3.44 6 6.55 14.64 15.11 7.2 2.52 1.79 1.42 1.28 1.09 1.06 1.01 1.01 1.09 1.53 1.98 2.67 5.42 11.83 6.86 2.45 1.8 1.46 1.14 1.03 1.96 3.9 5.58 1.82 1.23 1.14 1.33 1.57 2.28 3.74 7 4.3 4.8 6.91 11 17 9.8 3.54 2.01 1.34 1.1 5.02 1.55 3.76 1.31 1.09 2.11 1.17 2.8 2.89 1.98 2 1.87 1.29 1.62 1.61 1.71 1.85 3.28 1.45 2.94 1.73 1.23 2.33 1.28 1.52 5.36 1.19 5.26 2.16 1.07 3.58 1.08 1.32 9.48 1.07 9.53 2.74 5.41 4.04 1.17 1.8 21.78 66.33 14.85 9.9 3.8 6.83 18.81 25.74 23.76 16.83 1.68 2.02 1.18 4.25 2.8 1.37 1.59 2.12 13.86 5.1 2.87 6.83 3.8 18.81 55.44 12.87 24.75 2.55 5.09 3.34 4.45 2.45 1.47 2.47 1.81 8.91 1.84 6.68 2.28 14.85 3.27 20.79 6.43 18.81 14.85 9.4 18.81 6.93 6.5 6.43 7.92 10.89 10.89 8.91 14.85 33.66 7.42 18.81 14.85 2.5 18.81 8.91 6 9.9 14.85 6.5 6.5 18.81 6.43 4.5 2.4 7.5 18.81 20.79 22.77 9.4 28.71 7.5 25.74 11.88 6 28.71 7.92 9.4 28.71 18.81 1.08 1.47 1.09 1.08 1.08 1.16 1.51 1.06 1.06 1.09 2.68 3.61 5.43 3.35 1.39 1.23 1.1 1.26 2.69 1.37 21.78 3.46 3.72 5.84 1.94 2.6 3.66 8.91 27.72 59.4 7.06 20.79 99.99 1.29 1.2 1.11 1.71 1.45 1.01 1.04 5.35 5.06 1.57 3.89 8.5 198.99 14.85 297.99 45.54 248.49 198.99 80.19 248.49 50.49 45.54 45.54 60.39 99.99 99.99 99.99 198.99 347.49 80.19 248.49 198.99 9.4 248.49 70.29 50.49 99.99 198.99 33.66 16.83 248.49 45.54 14.85 8.7 99.99 248.49 297.99 297.99 80.19 396.99 18.81 396.99 297.99 50.49 396.99 60.39 80.19 396.99 248.49 28.71 495.99 70.29 495.99 248.49 495.99 495.99 495.99 495.99 297.99 248.49 248.49 396.99 495.99 495.99 396.99 495.99 495.99 248.49 495.99 495.99 25.74 495.99 495.99 297.99 495.99 495.99 198.99 80.19 495.99 248.49 70.29 24.75 495.99 495.99 495.99 495.99 495.99 495.99 99.99 495.99 495.99 297.99 495.99 396.99 495.99 495.99 495.99 1.02 1.03 6.14 1.07 1.92 1.79 4.51 2.35 1.6 1.86 3.16 3.24 4.12 1.14 1.48 1.92 1.68 1.28 1.26 1.17 1.6 2.88 5.83 2.1 1.33 1.08 5.35 1.12 2.48