print('hello, world')

# Demonstrating Python set usage

# Create a set of integers
numbers = {1, 2, 3, 4, 5}
print("Initial set:", numbers)

# Add an element
numbers.add(6)
print("After adding 6:", numbers)

# Remove an element
numbers.remove(3)
print("After removing 3:", numbers)

# Check membership
print("Does the set contain 4?", 4 in numbers)

# Create another set
more_numbers = {4, 5, 6, 7, 8}
print("Another set:", more_numbers)

# Union of sets
union_set = numbers.union(more_numbers)
print("Union:", union_set)

# Intersection of sets
intersection_set = numbers.intersection(more_numbers)
print("Intersection:", intersection_set)

# Difference of sets
difference_set = numbers.difference(more_numbers)
print("Difference (numbers - more_numbers):", difference_set)

# Symmetric difference
sym_diff_set = numbers.symmetric_difference(more_numbers)
print("Symmetric difference:", sym_diff_set)

# Clear all elements
numbers.clear()
print("After clearing:", numbers)

""" Number Guessing Game
----------------------------------------
"""
import random
attempts_list = []
def show_score():
    if len(attempts_list) <= 0:
        print("There is currently no high score, it's yours for the taking!")
    else:
        print("The current high score is {} attempts".format(min(attempts_list)))
def start_game():
    random_number = int(random.randint(1, 10))
    print("Hello traveler! Welcome to the game of guesses!")
    player_name = input("What is your name? ")
    wanna_play = input("Hi, {}, would you like to play the guessing game? (Enter Yes/No) ".format(player_name))
    // Where the show_score function USED to be
    attempts = 0
    show_score()
    while wanna_play.lower() == "yes":
        try:
            guess = input("Pick a number between 1 and 10 ")
            if int(guess) < 1 or int(guess) > 10:
                raise ValueError("Please guess a number within the given range")
            if int(guess) == random_number:
                print("Nice! You got it!")
                attempts += 1
                attempts_list.append(attempts)
                print("It took you {} attempts".format(attempts))
                play_again = input("Would you like to play again? (Enter Yes/No) ")
                attempts = 0
                show_score()
                random_number = int(random.randint(1, 10))
                if play_again.lower() == "no":
                    print("That's cool, have a good one!")
                    break
            elif int(guess) > random_number:
                print("It's lower")
                attempts += 1
            elif int(guess) < random_number:
                print("It's higher")
                attempts += 1
        except ValueError as err:
            print("Oh no!, that is not a valid value. Try again...")
            print("({})".format(err))
    else:
        print("That's cool, have a good one!")
if __name__ == '__main__':
    start_game()

#Python program to print topological sorting of a DAG
from collections import defaultdict
  
#Class to represent a graph
class Graph:
    def __init__(self,vertices):
        self.graph = defaultdict(list) #dictionary containing adjacency List
        self.V = vertices #No. of vertices
  
    # function to add an edge to graph
    def addEdge(self,u,v):
        self.graph[u].append(v)
  
    # A recursive function used by topologicalSort
    def topologicalSortUtil(self,v,visited,stack):
  
        # Mark the current node as visited.
        visited[v] = True
  
        # Recur for all the vertices adjacent to this vertex
        for i in self.graph[v]:
            if visited[i] == False:
                self.topologicalSortUtil(i,visited,stack)
  
        # Push current vertex to stack which stores result
        stack.insert(0,v)
  
    # The function to do Topological Sort. It uses recursive 
    # topologicalSortUtil()
    def topologicalSort(self):
        # Mark all the vertices as not visited
        visited = [False]*self.V
        stack =[]
  
        # Call the recursive helper function to store Topological
        # Sort starting from all vertices one by one
        for i in range(self.V):
            if visited[i] == False:
                self.topologicalSortUtil(i,visited,stack)
  
        # Print contents of stack
        print(stack)
  
g= Graph(6)
g.addEdge(5, 2);
g.addEdge(5, 0);
g.addEdge(4, 0);
g.addEdge(4, 1);
g.addEdge(2, 3);
g.addEdge(3, 1);
  
print("Following is a Topological Sort of the given graph")
g.topologicalSort()

https://codecatch.net/post/06c9f5b7-1e00-40dc-b436-b8cccc4b69be

from functools import partial

def curry(fn, *args):
  return partial(fn, *args)
  
add = lambda x, y: x + y
add10 = curry(add, 10)
add10(20) # 30