Creating a complete endless runner game involves multiple components and can be quite extensive. Here's a simplified example using the Pygame library. Before running this code, make sure you have Pygame installed (`pip install pygame`). ```python import pygame import random import sys # Initialize Pygame pygame.init() # Constants WIDTH, HEIGHT = 800, 600 FPS = 60 PLAYER_SIZE = 50 OBSTACLE_SIZE = 50 POWERUP_SIZE = 30 PLAYER_SPEED = 5 OBSTACLE_SPEED = 5 POWERUP_SPEED = 5 # Colors WHITE = (255, 255, 255) RED = (255, 0, 0) BLUE = (0, 0, 255) # Create the game window screen = pygame.display.set_mode((WIDTH, HEIGHT)) pygame.display.set_caption("Endless Runner Game") # Load images player_image = pygame.Surface((PLAYER_SIZE, PLAYER_SIZE)) player_image.fill(RED) obstacle_image = pygame.Surface((OBSTACLE_SIZE, OBSTACLE_SIZE)) obstacle_image.fill(WHITE) powerup_image = pygame.Surface((POWERUP_SIZE, POWERUP_SIZE)) powerup_image.fill(BLUE) # Game variables player = pygame.Rect(WIDTH // 2 - PLAYER_SIZE // 2, HEIGHT - PLAYER_SIZE - 10, PLAYER_SIZE, PLAYER_SIZE) obstacles = [] powerups = [] score = 0 # Clock to control the frame rate clock = pygame.time.Clock() # Game loop while True: for event in pygame.event.get(): if event.type == pygame.QUIT: pygame.quit() sys.exit() # Move player keys = pygame.key.get_pressed() if keys[pygame.K_LEFT] and player.left > 0: player.x -= PLAYER_SPEED if keys[pygame.K_RIGHT] and player.right < WIDTH: player.x += PLAYER_SPEED # Generate obstacles and power-ups if random.randint(1, 100) <= 5: obstacle = pygame.Rect(random.randint(0, WIDTH - OBSTACLE_SIZE), 0, OBSTACLE_SIZE, OBSTACLE_SIZE) obstacles.append(obstacle) if random.randint(1, 100) <= 2: powerup = pygame.Rect(random.randint(0, WIDTH - POWERUP_SIZE), 0, POWERUP_SIZE, POWERUP_SIZE) powerups.append(powerup) # Move obstacles and power-ups for obstacle in obstacles: obstacle.y += OBSTACLE_SPEED for powerup in powerups: powerup.y += POWERUP_SPEED # Check for collisions for obstacle in obstacles: if player.colliderect(obstacle): pygame.quit() sys.exit() for powerup in powerups: if player.colliderect(powerup): powerups.remove(powerup) score += 10 # Remove obstacles and power-ups that are out of the screen obstacles = [obstacle for obstacle in obstacles if obstacle.y < HEIGHT] powerups = [powerup for powerup in powerups if powerup.y < HEIGHT] # Draw everything screen.fill((0, 0, 0)) pygame.draw.rect(screen, RED, player) for obstacle in obstacles: pygame.draw.rect(screen, WHITE, obstacle) for powerup in powerups: pygame.draw.rect(screen, BLUE, powerup) # Display the score font = pygame.font.Font(None, 36) score_text = font.render(f"Score: {score}", True, WHITE) screen.blit(score_text, (10, 10)) # Update the display pygame.display.flip() # Control the frame rate clock.tick(FPS) ``` This is a simple endless runner game where the player can move left and right to avoid obstacles. Power-ups increase the score when collected. The game will end if the player collides with an obstacle. Note that this is a basic example, and you can expand and improve upon it by adding more features, graphics, and refining the gameplay.
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 |