#importo le librerie import pygame import random #inizializzo pygame pygame.init() #Carico le immagini sfondo = pygame.image.load('immagini/immagini/sfondo.png') uccello = pygame.image.load('immagini/immagini/uccello.png') base = pygame.image.load('immagini/immagini/base.png') gameover = pygame.image.load('immagini/immagini/gameover.png') tubo_giu = pygame.image.load('immagini/immagini/tubo.png') tubo_su = pygame.transform.flip(tubo_giu,False,True) #Costanti Globali SCHERMO = pygame.display.set_mode((288,512)) FPS = 50 VEL_AVANZ = 3 FONT = pygame.font.SysFont('Comic Sans MS', 50, bold = True) class tubi_classe: def __init__(self): self.x = 300 self.y = random.randint(-75,150) def walk(self): self.x -=VEL_AVANZ SCHERMO.blit(tubo_giu, (self.x, self.y+210)) SCHERMO.blit(tubo_su,(self.x, self.y-210)) def collision(self, uccello, uccellox, uccelloy): tollerance = 5 BirdRightSide = uccellox + uccello.get_width()-tollerance BirdLeftSide = uccellox + tollerance TuboRightSide = self.x TubiLeftSide = self.x + tubo_giu.get_width() BirdUpSide = uccelloy + tollerance BirdDownSide = uccelloy + uccello.get_height() - tollerance TubiUpSide = self.y + 110 TubiDownSide = self.y + 210 if BirdRightSide > TubiLeftSide and BirdLeftSide < TubiRightSide: if BirdUpSide < TubiUpSide or BirdDownSide > TubiDownSide: lost() def AmongTubi(self, uccello, uccellox): tollerance = 5 BirdRightSide = uccellox + uccello.get_width()-tollerance BirdLeftSide = uccellox + tollerance TuboRightSide = self.x TubiLeftSide = self.x + tubo_giu.get_width() if BirdRightSide > TubiRightSide and BirdLeftSide < TubiLeftSide: return True def disegna_oggetti(): SCHERMO.blit(sfondo, (0,0)) for t in tubi: t.walk() SCHERMO.blit(uccello, (uccellox, uccelloy)) SCHERMO.blit(base, (basex,400)) score_render = FONT.render(str(score), 1, (255,255,255)) SCHERMO.blit(score_render, (144, 0)) def aggiorna(): pygame.display.update() pygame.time.Clock().tick(FPS) def inizializza(): global uccellox, uccelloy, uccello_vely global basex global tubi global score global AmongTubi uccellox, uccelloy = 60, 150 uccello_vely = 0 basex = 0 score = 0 tubi = [] tubi.append(tubi_classe()) AmongTubi = False def lost(): SCHERMO.blit(gameover, (50, 180)) aggiorna() Restart = False while not Restart: for event in pygame.event.get(): if ( event.type == pygame.KEYDOWN and event.key == pygame.K_SPACE): inizializza() Restart = True if event.type == pygame.QUIT: pygame.quit() #inizializzo le variabili inizializza() ### Ciclo Principale ### while True: basex -= VEL_AVANZ if basex < -45: basex = 0 #Gravità uccello_vely +=1 uccelloy += uccello_vely #Comandi for event in pygame.event.get(): if ( event.type == pygame.KEYDOWN and event.key == pygame.K_UP): uccello_vely = -10 if event.type == pygame.QUIT: pygame.quit() #Gestione Tubi if tubi[-1].x < 150: tubi.append(tubi_classe()) for t in tubi: t.collision(uccello, uccellox, uccelloy) if not AmongTubi: for t in tubi: if t.AmongTubi(uccello, uccellox): AmongTubi = True break if AmongTubi: AmongTubi = False for t in tubi: if t.AmongTubi(uccello, uccellox): AmongTubi = True break if not AmongTubi: score +=1 #Collisione con Base if uccelloy > 380: lost() #Aggiornamento Schermo disegna_oggetti() aggiorna()
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 |