 # importing above defined libraries to 
# implement the functionalities 
from PIL import ImageGrab, ImageOps 
import pyautogui 
import time 
import numpy as np 
	
class cordinates(): 

	# coordinates of replay button to start the game 
	replaybutton =(360, 214) 
	# this coordinates represent the top-right coordinates 
	# that will be used to define the front box 
	dinasaur = (149, 239 ) 
	
def restartGame(): 

	# using pyautogui library, we are clicking on the 
	# replay button without any user interaction 
	pyautogui.click(cordinates.replaybutton) 

	# we will keep our Bot always down that 
	# will prevent him to get hit by bird 
	pyautogui.keyDown('down') 

def press_space(): 

	# releasing the Down Key 
	pyautogui.keyUp('down') 

	# pressing Space to overcome Bush 
	pyautogui.keyDown('space') 

	# so that Space Key will be recognized easily 
	time.sleep(0.05) 

	# printing the "Jump" statement on the 
	# terminal to see the current output 
	print("jump") 
	time.sleep(0.10) 

	# releasing the Space Key 
	pyautogui.keyUp('space') 

	# again pressing the Down Key to keep my Bot always down 
	pyautogui.keyDown('down') 

def imageGrab(): 
	# defining the coordinates of box in front of dinosaur 
	box = (cordinates.dinasaur[0]+30, cordinates.dinasaur[1], 
		cordinates.dinasaur[0]+120, cordinates.dinasaur[1]+2) 

	# grabbing all the pixels values in form of RGB tupples 
	image = ImageGrab.grab(box) 

	# converting RGB to Grayscale to 
	# make processing easy and result faster 
	grayImage = ImageOps.grayscale(image) 

	# using numpy to get sum of all grayscale pixels 
	a = np.array(grayImage.getcolors()) 

	# returning the sum 
	print(a.sum()) 
	return a.sum() 
	
	

# function to restart the game 
restartGame() 
while True: 
	# 435 is the sum of white pixels values of box. 
	# You may get different value is you are taking bigger 
	# or smaller box than the box taken in this article. 
	# if value returned by "imageGrab" function is not equal to 435, 
	# it means either bird or bush is coming towards dinosaur 
	if(imageGrab()!= 435): 
		press_space() 
		# time to recognize the operation performed by above function 
		time.sleep(0.1)

created 5 years ago

Python Online Compiler

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.

Taking inputs (stdin)

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)

About Python

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.

Tutorial & Syntax help

Loops

1. If-Else:

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

Note:

Indentation is very important in Python, make sure the indentation is followed correctly

2. For:

For loop is used to iterate over arrays(list, tuple, set, dictionary) or strings.

Example:

mylist=("Iphone","Pixel","Samsung")
for i in mylist:
    print(i)

3. While:

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

Collections

There are four types of collections in Python.

1. List:

List is a collection which is ordered and can be changed. Lists are specified in square brackets.

Example:

mylist=["iPhone","Pixel","Samsung"]
print(mylist)

2. Tuple:

Tuple is a collection which is ordered and can not be changed. Tuples are specified in round brackets.

Example:

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)

3. Set:

Set is a collection which is unordered and unindexed. Sets are specified in curly brackets.

Example:

myset = {"iPhone","Pixel","Samsung"}
print(myset)

4. Dictionary:

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.

Example:

mydict = {
    "brand" :"iPhone",
    "model": "iPhone 11"
}
print(mydict)

Supported Libraries

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