<jupyter_start><jupyter_text>1. Compute area of this. ![area](area.png)<jupyter_code>def computeArea(x):
    x = (x**2 - x**2/8)
    return x<jupyter_output><empty_output><jupyter_text>2. Get Fibonacci at given number.<jupyter_code>def Fib():
    x = int(input("number of iteration of fibonacci: "))
    a = [1,1]
    if x==0:
        return a[0]
    elif x==1:
        return a[1]
    else:
        for i in range(2,x):
            a.append(a[i-1]+a[i-2])
        return a<jupyter_output><empty_output><jupyter_text>3. Generate list of unique random numbers.<jupyter_code>def uniqueRandom():
    def_random = []
    for i in range(1,301):
        def_random.append(random.randrange(1,100))
    uniq_random = reduce(lambda l, x: l.append(x) or l # alternate return value 
     if x not in l else l, def_random, [])

    return uniq_random<jupyter_output><empty_output><jupyter_text>Result<jupyter_code>in_x = int(input("calculate area of x: "))
print(computeArea(in_x))
print(Fib())

print("Unique Random: ")
print(uniqueRandom())<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.14433962264150943, 'fraction_numerical': 0.02169811320754717, 'mean_word_length': 3.912037037037037, 'pattern_counts': {'":': 0, '<': 17, '<?xml version=': 0, '>': 17, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '4', 'dir': 'jupyter-structured-clean-dedup', 'id': '502784', 'license': 'MIT', 'n_tokens_mistral': 413, 'n_tokens_neox': 401, 'n_words': 84, 'path': 'class2/Functions.ipynb', 'repo_name': 'hskang9/DSC-2004', 'size': '1060'}