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from collections import defaultdictdef collect_dictionary(obj):inv_obj = defaultdict(list)for key, value in obj.items():inv_obj[value].append(key)return dict(inv_obj)ages = {'Peter': 10,'Isabel': 10,'Anna': 9,}collect_dictionary(ages) # { 10: ['Peter', 'Isabel'], 9: ['Anna'] }
filename = "data.txt"with open(filename, "r") as file:file_contents = file.readlines()file_contents = [line.strip() for line in file_contents]print("File contents:")for line in file_contents:print(line)
def max_n(lst, n = 1):return sorted(lst, reverse = True)[:n]max_n([1, 2, 3]) # [3]max_n([1, 2, 3], 2) # [3, 2]
# Input for row and columnR = int(input())C = int(input())# Using list comprehension for inputmatrix = [[int(input()) for x in range (C)] for y in range(R)]
my_list = ["blue", "red", "green"]#1- Using sort or srted directly or with specifc keysmy_list.sort() #sorts alphabetically or in an ascending order for numeric datamy_list = sorted(my_list, key=len) #sorts the list based on the length of the strings from shortest to longest.# You can use reverse=True to flip the order#2- Using locale and functoolsimport localefrom functools import cmp_to_keymy_list = sorted(my_list, key=cmp_to_key(locale.strcoll))
# Listlst = [1, 2, 3, 'Alice', 'Alice']# One-Linerindices = [i for i in range(len(lst)) if lst[i]=='Alice']# Resultprint(indices)# [3, 4]