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Add Topological Sort (#1302)
* add topological sort * fix topological sort? * running black * renaming file
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@ -44,7 +44,7 @@ def chinese_remainder_theorem(n1, r1, n2, r2):
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(x, y) = extended_euclid(n1, n2)
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(x, y) = extended_euclid(n1, n2)
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m = n1 * n2
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m = n1 * n2
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n = r2 * x * n1 + r1 * y * n2
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n = r2 * x * n1 + r1 * y * n2
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return ((n % m + m) % m)
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return (n % m + m) % m
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# ----------SAME SOLUTION USING InvertModulo instead ExtendedEuclid----------------
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# ----------SAME SOLUTION USING InvertModulo instead ExtendedEuclid----------------
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@ -84,8 +84,8 @@ def chinese_remainder_theorem2(n1, r1, n2, r2):
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# import testmod for testing our function
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# import testmod for testing our function
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from doctest import testmod
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from doctest import testmod
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if __name__ == '__main__':
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if __name__ == "__main__":
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testmod(name='chinese_remainder_theorem', verbose=True)
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testmod(name="chinese_remainder_theorem", verbose=True)
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testmod(name='chinese_remainder_theorem2', verbose=True)
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testmod(name="chinese_remainder_theorem2", verbose=True)
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testmod(name='invert_modulo', verbose=True)
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testmod(name="invert_modulo", verbose=True)
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testmod(name='extended_euclid', verbose=True)
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testmod(name="extended_euclid", verbose=True)
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@ -17,7 +17,9 @@ def diophantine(a, b, c):
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"""
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"""
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assert c % greatest_common_divisor(a, b) == 0 # greatest_common_divisor(a,b) function implemented below
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assert (
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c % greatest_common_divisor(a, b) == 0
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) # greatest_common_divisor(a,b) function implemented below
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(d, x, y) = extended_gcd(a, b) # extended_gcd(a,b) function implemented below
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(d, x, y) = extended_gcd(a, b) # extended_gcd(a,b) function implemented below
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r = c / d
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r = c / d
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return (r * x, r * y)
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return (r * x, r * y)
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@ -32,6 +34,7 @@ def diophantine(a, b, c):
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# n is the number of solution you want, n = 2 by default
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# n is the number of solution you want, n = 2 by default
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def diophantine_all_soln(a, b, c, n=2):
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def diophantine_all_soln(a, b, c, n=2):
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"""
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"""
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>>> diophantine_all_soln(10, 6, 14)
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>>> diophantine_all_soln(10, 6, 14)
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@ -66,6 +69,7 @@ def diophantine_all_soln(a, b, c, n=2):
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# Euclid's Algorithm
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# Euclid's Algorithm
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def greatest_common_divisor(a, b):
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def greatest_common_divisor(a, b):
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"""
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"""
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>>> greatest_common_divisor(7,5)
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>>> greatest_common_divisor(7,5)
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@ -117,8 +121,8 @@ def extended_gcd(a, b):
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# import testmod for testing our function
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# import testmod for testing our function
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from doctest import testmod
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from doctest import testmod
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if __name__ == '__main__':
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if __name__ == "__main__":
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testmod(name='diophantine', verbose=True)
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testmod(name="diophantine", verbose=True)
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testmod(name='diophantine_all_soln', verbose=True)
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testmod(name="diophantine_all_soln", verbose=True)
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testmod(name='extended_gcd', verbose=True)
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testmod(name="extended_gcd", verbose=True)
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testmod(name='greatest_common_divisor', verbose=True)
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testmod(name="greatest_common_divisor", verbose=True)
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@ -70,6 +70,7 @@ def modular_division2(a, b, n):
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# Extended Euclid's Algorithm : If d divides a and b and d = a*x + b*y for integers x and y, then d = gcd(a,b)
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# Extended Euclid's Algorithm : If d divides a and b and d = a*x + b*y for integers x and y, then d = gcd(a,b)
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def extended_gcd(a, b):
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def extended_gcd(a, b):
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"""
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"""
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>>> extended_gcd(10, 6)
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>>> extended_gcd(10, 6)
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@ -116,6 +117,7 @@ def extended_euclid(a, b):
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# Euclid's Lemma : d divides a and b, if and only if d divides a-b and b
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# Euclid's Lemma : d divides a and b, if and only if d divides a-b and b
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# Euclid's Algorithm
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# Euclid's Algorithm
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def greatest_common_divisor(a, b):
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def greatest_common_divisor(a, b):
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"""
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"""
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>>> greatest_common_divisor(7,5)
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>>> greatest_common_divisor(7,5)
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@ -140,10 +142,10 @@ def greatest_common_divisor(a, b):
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# Import testmod for testing our function
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# Import testmod for testing our function
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from doctest import testmod
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from doctest import testmod
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if __name__ == '__main__':
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if __name__ == "__main__":
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testmod(name='modular_division', verbose=True)
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testmod(name="modular_division", verbose=True)
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testmod(name='modular_division2', verbose=True)
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testmod(name="modular_division2", verbose=True)
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testmod(name='invert_modulo', verbose=True)
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testmod(name="invert_modulo", verbose=True)
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testmod(name='extended_gcd', verbose=True)
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testmod(name="extended_gcd", verbose=True)
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testmod(name='extended_euclid', verbose=True)
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testmod(name="extended_euclid", verbose=True)
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testmod(name='greatest_common_divisor', verbose=True)
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testmod(name="greatest_common_divisor", verbose=True)
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47
graphs/g_topological_sort.py
Normal file
47
graphs/g_topological_sort.py
Normal file
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@ -0,0 +1,47 @@
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# Author: Phyllipe Bezerra (https://github.com/pmba)
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clothes = {
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0: "underwear",
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1: "pants",
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2: "belt",
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3: "suit",
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4: "shoe",
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5: "socks",
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6: "shirt",
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7: "tie",
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8: "clock",
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}
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graph = [[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]
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visited = [0 for x in range(len(graph))]
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stack = []
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def print_stack(stack, clothes):
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order = 1
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while stack:
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cur_clothe = stack.pop()
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print(order, clothes[cur_clothe])
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order += 1
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def dfs(u, visited, graph):
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visited[u] = 1
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for v in graph[u]:
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if not visited[v]:
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dfs(v, visited, graph)
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stack.append(u)
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def top_sort(graph, visited):
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for v in range(len(graph)):
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if not visited[v]:
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dfs(v, visited, graph)
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if __name__ == "__main__":
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top_sort(graph, visited)
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print(stack)
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print_stack(stack, clothes)
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@ -5,12 +5,13 @@ from sklearn.model_selection import train_test_split
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data = datasets.load_iris()
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data = datasets.load_iris()
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X = np.array(data['data'])
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X = np.array(data["data"])
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y = np.array(data['target'])
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y = np.array(data["target"])
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classes = data['target_names']
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classes = data["target_names"]
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X_train, X_test, y_train, y_test = train_test_split(X, y)
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X_train, X_test, y_train, y_test = train_test_split(X, y)
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def euclidean_distance(a, b):
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def euclidean_distance(a, b):
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"""
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"""
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Gives the euclidean distance between two points
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Gives the euclidean distance between two points
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@ -21,6 +22,7 @@ def euclidean_distance(a, b):
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"""
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"""
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return np.linalg.norm(np.array(a) - np.array(b))
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return np.linalg.norm(np.array(a) - np.array(b))
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def classifier(train_data, train_target, classes, point, k=5):
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def classifier(train_data, train_target, classes, point, k=5):
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"""
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"""
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Classifies the point using the KNN algorithm
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Classifies the point using the KNN algorithm
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@ -8,7 +8,7 @@ def sum_of_series(first_term, common_diff, num_of_terms):
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>>> sum_of_series(1, 10, 100)
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>>> sum_of_series(1, 10, 100)
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49600.0
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49600.0
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"""
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"""
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sum = ((num_of_terms/2)*(2*first_term+(num_of_terms-1)*common_diff))
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sum = (num_of_terms / 2) * (2 * first_term + (num_of_terms - 1) * common_diff)
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# formula for sum of series
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# formula for sum of series
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return sum
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return sum
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@ -19,4 +19,5 @@ def main():
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if __name__ == "__main__":
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if __name__ == "__main__":
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import doctest
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import doctest
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doctest.testmod()
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doctest.testmod()
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@ -33,6 +33,7 @@ def stooge(arr, i, h):
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# Recursively sort first 2/3 elements
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# Recursively sort first 2/3 elements
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stooge(arr, i, (h - t))
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stooge(arr, i, (h - t))
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if __name__ == "__main__":
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if __name__ == "__main__":
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user_input = input("Enter numbers separated by a comma:\n").strip()
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user_input = input("Enter numbers separated by a comma:\n").strip()
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unsorted = [int(item) for item in user_input.split(",")]
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unsorted = [int(item) for item in user_input.split(",")]
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