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CogSphere
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# Define a dictionary called celscilist
celscilist = {
          'Anil Seth': { 'info': { 'views': 14187265 , 'link': "youtubelink", 'student': "studentname" } },
          'Andrew Huberman 2': { 'info': { 'views': 620004 , 'link': "youtubelink", 'student': "studentname" } },
          'Donald Hoffman': { 'info': { 'views': 2504274 , 'link': "youtubelink", 'student': "studentname" } },
          'Doug Hofstadter': { 'info': { 'views': 75493 , 'link': "youtubelink", 'student': "studentname" } },
          'Howard Gardner': { 'info': { 'views': 1508453 , 'link': "youtubelink", 'student': "studentname" } },
          'Janelle Shane': { 'info': { 'views': 2755716 , 'link': "youtubelink", 'student': "studentname" } },
          'Daniel Kahneman': { 'info': { 'views': 1274170 , 'link': "youtubelink", 'student': "studentname" } },
          'Elizabeth Loftus': { 'info': { 'views': 2190333 , 'link': "youtubelink", 'student': "studentname" } },
          'Elizabeth Loftus 2': { 'info': { 'views': 2975 , 'link': "youtubelink", 'student': "studentname" } },
          'Patricia Churchland': { 'info': { 'views': 8026 , 'link': "youtubelink", 'student': "studentname" } },
          'Bret Weinstein': { 'info': { 'views': 41610 , 'link': "youtubelink", 'student': "studentname" } },
          'Andrew Huberman': { 'info': { 'views': 55561 , 'link': "youtubelink", 'student': "studentname" } },
          'Tom Scott': { 'info': { 'views': 2555516 , 'link': "youtubelink", 'student': "studentname" } },
          'Melanie Mitchell': { 'info': { 'views': 44875 , 'link': "youtubelink", 'student': "studentname" } },
          'Jordan Peterson': { 'info': { 'views': 236000 , 'link': "youtubelink", 'student': "studentname" } },
          'Timnit Gebru': { 'info': { 'views': 79338 , 'link': "youtubelink", 'student': "studentname" } },
          'Amy Cuddy': { 'info': { 'views': 23700189 , 'link': "youtubelink", 'student': "studentname" } },
          'Mihaly Csikszentmihalyi': { 'info': { 'views': 952791 , 'link': "youtubelink", 'student': "studentname" } },
          'Martha Nussbaum': { 'info': { 'views': 41046 , 'link': "youtubelink", 'student': "studentname" } },
          'Noam Chomsky': { 'info': { 'views': 26042 , 'link': "youtubelink", 'student': "studentname" } },
          'Russell A Barkley': { 'info': { 'views': 786116 , 'link': "youtubelink", 'student': "studentname" } },
          'Slavoj Žižek': { 'info': { 'views': 153187 , 'link': "youtubelink", 'student': "studentname" } },
          'Nathaniel Drew': { 'info': { 'views': 126828 , 'link': "youtubelink", 'student': "studentname" } },
          'Lara Boyd': { 'info': { 'views': 39097670 , 'link': "youtubelink", 'student': "studentname" } },
          'Yuval Noah Harari': { 'info': { 'views': 439139 , 'link': "youtubelink", 'student': "studentname" } },
          'Jordan Peterson 2': { 'info': { 'views': 672531 , 'link': "youtubelink", 'student': "studentname" } },
          'Yuval Noah Harari 2': { 'info': { 'views': 1859772 , 'link': "youtubelink", 'student': "studentname" } },
          'Joscha Bach': { 'info': { 'views': 528348 , 'link': "youtubelink", 'student': "studentname" } },
          'Poppy Crum': { 'info': { 'views': 133328 , 'link': "youtubelink", 'student': "studentname" } },
          'Ryan Holiday': { 'info': { 'views': 34846 , 'link': "youtubelink", 'student': "studentname" } },
          'Marvin Chun': { 'info': { 'views': 76604 , 'link': "youtubelink", 'student': "studentname" } },
          'Jim Davies': { 'info': { 'views': 27628 , 'link': "youtubelink", 'student': "studentname" } },
}

# Extract 'views' values into a list
views_list = [item['info']['views'] for item in celscilist.values()]

# Calculate the sum of 'views' values
def calculate_average(views_list):
    sum = 0
    for view in views_list:
        sum += view
    return sum / len(views_list)

# Define a class called Celsci
class Celsci:
    @staticmethod
    def iscelsci(x):
        y = "Not Above Average: "
        if x > calculate_average(views_list):
            y = "Above Average: "
        return y

    @staticmethod
    def iscelscinow(x):
        y = "Not Above Average: "
        if x > calculate_average(views_list):
            y = "Above Average: "
        return y

# Define a function called checkcelsci
def checkcelsci(x):
    result = Celsci.iscelsci(celscilist[x]['info']['views'])
    return result

# Find the maximum value in views_list
max_views = max(views_list)

# Define a function to find the key by views value
def find_key_by_views(obj, views_value):
    for key, value in obj.items():
        if value['info']['views'] == views_value:
            return key

# Call the function with data and max_views as arguments
no1 = find_key_by_views(celscilist, max_views)

def celsciresult(celsciname):
	# Print the results
	print(celscilist[celsciname]['info']['views'], checkcelsci(celsciname), int(calculate_average(views_list)), no1, max_views)

# Define a function called print_celscilist
def print_celscilist(celscilist):
    # Loop through each key and value in celscilist
    for key, value in celscilist.items():
        # Print the key and the views value
        print(key, value['info']['views'], checkcelsci(key), int(calculate_average(views_list)), no1, max_views)

# Call the function with celscilist as an argument
#print_celscilist(celscilist)