''' P.I. WORKS Technical Assignment Simay Yazicioglu This script finds maximum sum of the numbser in a orthogonal triangle input according to the given rules below: 1. You will start from the top and move downwards to an adjacent number as in below. 2. You are only allowed to walk downwards and diagonally. 3. You can only walk over NON PRIME NUMBERS. 4. You have to reach at the end of the pyramid as much as possible. 5. You have to treat your input as pyramid. This file can also be imported as a module and contains the following functions: * fill_array - returns a 2D array based on the triangle input in the file * is_prime - given a number returns if the number is prime or not * solve -uses dynamic programming to find maximum sum in the 2D array * main- main function of the script ''' def fill_array(file_name): """reads the file, gets the triangular input, and fills the 2D array based on the input data Parameters ---------- file_name : string The name of the file that contains the triangle input Returns ------- array 2D array that represents the data in the triangle input """ with open(file_name, 'r') as file_obj: count = 0 array = []#2D array for line in file_obj: count+=1 line_lst = line.strip().split(" ") array_row = [] for num in line_lst: if is_prime(int(num)): array_row.append(float('-inf')) else: array_row.append(int(num)) array.append(array_row) #fill the rest of the array_row with 0 for row in range(count): for col in range(count-row-1, 0, -1): array[row].append(0) return array def is_prime(n): """checks if the number is prime Parameters ---------- n : int The number we want to check Returns ------- boolean True if number is prime, false otherwise """ if (n <= 1) : return False if (n <= 3) : return True if (n % 2 == 0 or n % 3 == 0) : return False i = 5 while(i * i <= n) : if (n % i == 0 or n % (i + 2) == 0) : return False i = i + 6 return True def solve(arr): """uses dynamic programming to find maximum sum in the 2D array Parameters ---------- arr : list The 2D array that represents the triangle input values Returns ------- float returns the max sum, or if that's not possible returns negative infinity """ row = len(arr) for r in range(row-1-1, -1,-1): for c in range(0,r+2-1): elem1 = arr[r+1][c] elem2 = arr[r+1][c+1] #if either of the elems are -inf, then dont check prime if elem1 == float('-inf') and elem2==float('-inf'): continue elif not (elem1 == float('-inf')) and not (elem2==float('-inf')): m = max(arr[r+1][c+1] , arr[r+1][c]) arr[r][c] += m # current arr[r][c] elif elem1 == float('-inf'): #only elem1 negative infinity arr[r][c] += elem2 # current arr[r][c] else: #only elem2 negative infinity arr[r][c] += elem1 # current arr[r][c] return arr[0][0] def main(): ''' Main function for the script. Given a file name, main function calls the function to fill the array with the triangle input given in the file and calls the function to find the max sum. Then prints the maximum sum if found, else prints 'No possible path' ''' arr = fill_array('triangle.txt') path_sum = solve(arr) if path_sum == float('-inf'): print('No posssible path') else: print(path_sum) if __name__ == "__main__": main()
Write, Run & Share Python code online using OneCompiler's Python online compiler for free. It's one of the robust, feature-rich online compilers for python language, supporting both the versions which are Python 3 and Python 2.7. Getting started with the OneCompiler's Python editor is easy and fast. The editor shows sample boilerplate code when you choose language as Python or Python2 and start coding.
OneCompiler's python online editor supports stdin and users can give inputs to programs using the STDIN textbox under the I/O tab. Following is a sample python program which takes name as input and print your name with hello.
import sys
name = sys.stdin.readline()
print("Hello "+ name)
Python is a very popular general-purpose programming language which was created by Guido van Rossum, and released in 1991. It is very popular for web development and you can build almost anything like mobile apps, web apps, tools, data analytics, machine learning etc. It is designed to be simple and easy like english language. It's is highly productive and efficient making it a very popular language.
When ever you want to perform a set of operations based on a condition IF-ELSE is used.
if conditional-expression
#code
elif conditional-expression
#code
else:
#code
Indentation is very important in Python, make sure the indentation is followed correctly
For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.
mylist=("Iphone","Pixel","Samsung")
for i in mylist:
print(i)
While is also used to iterate a set of statements based on a condition. Usually while is preferred when number of iterations are not known in advance.
while condition
#code
There are four types of collections in Python.
List is a collection which is ordered and can be changed. Lists are specified in square brackets.
mylist=["iPhone","Pixel","Samsung"]
print(mylist)
Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
Below throws an error if you assign another value to tuple again.
myTuple=("iPhone","Pixel","Samsung")
print(myTuple)
myTuple[1]="onePlus"
print(myTuple)
Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.
myset = {"iPhone","Pixel","Samsung"}
print(myset)
Dictionary is a collection of key value pairs which is unordered, can be changed, and indexed. They are written in curly brackets with key - value pairs.
mydict = {
"brand" :"iPhone",
"model": "iPhone 11"
}
print(mydict)
Following are the libraries supported by OneCompiler's Python compiler
Name | Description |
---|---|
NumPy | NumPy python library helps users to work on arrays with ease |
SciPy | SciPy is a scientific computation library which depends on NumPy for convenient and fast N-dimensional array manipulation |
SKLearn/Scikit-learn | Scikit-learn or Scikit-learn is the most useful library for machine learning in Python |
Pandas | Pandas is the most efficient Python library for data manipulation and analysis |
DOcplex | DOcplex is IBM Decision Optimization CPLEX Modeling for Python, is a library composed of Mathematical Programming Modeling and Constraint Programming Modeling |