Python Yahtzee:
Yahtzee is a dice game that uses five die. There are multiple scoring abilities with the highest being a Yahtzee where all five die are the same. You will simulate rolling five die 777 times while looking for a yahtzee.
Program Specifications :
Create a list that holds the values of your five die.
Populate the list with five random numbers between 1 & 6, the values on a die.
Create a function to see if all five values in the list are the same and IF they are, print the phrase "You rolled ##### and its a Yahtzee!" (note: ##### will be replaced with the values in the list)
Create a loop that completes the process 777 times, simulating you rolling the 5 die 777 times, checking for Yahtzee, and printing the statement above when a Yahtzee is rolled.
The program to simulate rolling five dice 777 times and checking for a Yahtzee is given below.
How to write the programimport random
def check_yahtzee(dice):
"""Check if all five dice have the same value"""
return all(dice[i] == dice[0] for i in range(1, 5))
for i in range(777):
# Roll the dice
dice = [random.randint(1, 6) for _ in range(5)]
# Check for Yahtzee
if check_yahtzee(dice):
print("You rolled {} and it's a Yahtzee!".format(dice))
In conclusion, this is the program to simulate rolling five dice 777 times and checking for a Yahtzee.
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Homework 1 Computer Vision (Term 3 2022-23) The purpose of this homework is to write an image filtering function to apply on input images. Image filtering (or convolution) is a fundamental image processing tool to modify the image with some smoothing or sharpening affect. You will be writing your own function to implement image filtering from scratch. More specifically, you will implement filter( ) function should conform to the following: (1) support grayscale images, (2) support arbitrarily shaped filters where both dimensions are odd (e.g., 3 × 3 filters, 5 × 5 filters), (3) pad the input image with the same pixels as in the outer row and columns, and (4) return a filtered image which is the same resolution as the input image. You should read a color image and then convert it to grayscale. Then define different types of smoothing and sharpening filters such as box, sobel, etc. Before you apply the filter on the image matrix, apply padding operation on the image so that after filtering, the output filtered image resolution remains the same. (Please refer to the end the basic image processing notebook file that you used for first two labs to see how you can pad an image) Then you should use nested loops (two for loops for row and column) for filtering operation by matrix multiplication and addition (using image window and filter). Once filtering is completed, display the filtered image. Please use any image for experiment. Submission You should submit (using Blackboard link) the source file which includes the code (Jupiter notebook) and a report containing different filters and corresponding filtered images. Deadline: May 11th, Thursday, End of the day.
Here is information on image filtering in spatial and frequency domains.
Image filtering in the spatial domain involves applying a filter mask to an image in the time domain to obtain a filtered image. The filter mask or kernel is a small matrix used to modify the pixel values in the image. Common types of filters include the Box filter, Gaussian filter, and Sobel filter.
To apply image filtering in the spatial domain, one can follow the steps mentioned in the prompt, such as converting the image to grayscale, defining a filter, padding the image, and using nested loops to apply the filter.
Both spatial and frequency domain filtering can be used for various image processing tasks such as noise reduction, edge detection, and image enhancement.
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Write code to complete raise_to_power(). Note: This example is for practicing recursion; a non-recursive function, or using the built-in function math.pow(), would be more common.
Sample output with inputs: 4 2
4^2 = 16
***I need the solution to the code below in PYTHON***
def raise_to_power(base_val, exponent_val):
if exponent_val == 0:
result_val = 1
else:
result_val = base_val * ''' Your solution goes here '''
return result_val
user_base = int(input())
user_exponent = int(input())
print('{}^{} = {}'.format(user_base, user_exponent,
raise_to_power(user_base, user_exponent)))
• Explain the Stages and development of Computer Starting from the time of Abacus to the present time
Answer:
Explanation:
The development of computers has been a long and fascinating journey, spanning thousands of years. Here are the stages and key milestones in the history of computing:
1) Abacus (c. 3000 BC): The abacus is one of the oldest known computing devices, consisting of a frame with beads that can be moved along rods to perform basic arithmetic calculations.
2) Mechanical calculators (17th century): In the 17th century, inventors such as Blaise Pascal and Gottfried Leibniz developed mechanical calculators capable of performing arithmetic calculations more quickly and accurately than the abacus.
3) Analytical Engine (1837-1871): The Analytical Engine was designed by Charles Babbage and was considered the first mechanical computer. It could perform complex mathematical calculations and store information in memory.
4) Vacuum tube computers (1930s): The use of vacuum tubes in computers allowed for the creation of electronic computers. These computers used vacuum tubes to perform logic and arithmetic operations and were used primarily for scientific and military applications.
5) Transistor computers (late 1940s-1950s): The invention of the transistor in 1947 led to the development of transistor-based computers, which were smaller, faster, and more reliable than vacuum tube computers.
6) Integrated circuit computers (1960s-1970s): The development of integrated circuits in the 1960s allowed for the creation of smaller and more powerful computers that were capable of performing more complex calculations and storing more data.
7) Personal computers (1970s-1980s): The introduction of the personal computer in the 1970s and 1980s revolutionized computing, making computers more accessible to the general public and leading to the development of the modern computer industry.
8) Internet and World Wide Web (1990s): The creation of the internet and the World Wide Web in the 1990s revolutionized the way people interact with computers, making it possible to access vast amounts of information and connect with people all over the world.
9) Mobile computing (2000s-present): The rise of smartphones and tablets in the 2000s and beyond has led to a new era of mobile computing, with people now able to access the internet and perform complex computing tasks from anywhere at any time.
Overall, the development of computers has been a long and ongoing process, with each stage building on the discoveries and inventions that came before it. The future of computing is sure to be just as exciting as the past and present.
Which phase of software production or the focus of Dev ops
Answer:
DevOps is a software development methodology that combines software development (Dev) and information technology operations (Ops) to streamline the entire software production lifecycle, from design and development to deployment and operation. The main focus of DevOps is on the continuous integration, delivery, and deployment of software products, and ensuring that the software is always of high quality, reliable, and secure. In essence, DevOps aims to bridge the gap between developers and operations teams, so they can work collaboratively and more efficiently throughout the software development lifecycle.
A generator that is not producing voltage or current may have an open stator winding. True or False?
Answer:
True. An open stator winding is a common cause of a generator not producing any voltage or current. The stator winding is responsible for producing the electromagnetic field that induces voltage in the generator's rotor, which then produces the current. If the stator winding is open or broken, the magnetic field will not be produced, resulting in no voltage or current being generated.
Why I can't see my packages on eclipse at top of left?
There are a multitude of reasons as to why your packages may not be visible in the top left corner of Eclipse.
What are the common reasons?One common issue is mistakenly closing the package explorer view. To resolve this problem, simply navigate to the "Window" menu and choose "Show View". From there, select "Package Explorer" to restore the view.
If that solution doesn't work for you, it's possible that your project hasn't been configured or imported correctly into Eclipse. Make certain that all customizations have been properly established and be sure all necessary libraries are included in your build path.
In case neither of these approaches prove successful, please offer more detailed information concerning your system setup so that we can proceed with further troubleshooting.
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machine learning naives bales + ensemble methods
The claim "This ensemble model needs to select the number of trees used in the ensemble as to avoid overfitting" is generally true for AdaBoost. Therefore, the correct answer is AdaBoost.
How to explain the modelAn ensemble model is a type of machine learning model that combines the predictions of multiple individual models to produce a more accurate and robust prediction.
The idea behind an ensemble model is that by combining the predictions of multiple models, the weaknesses of any single model can be overcome, resulting in a more accurate overall prediction.
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I cannot figure out how to limit the number that they can make the bars of the turtle go too. I need to find a way to make them not go any higher than 200.
import turtle
Jane = turtle.Turtle()
bar1 = int(input("What is the height of the first bar?" ))
bar2 = int(input("What is the height of the second bar?" ))
bar3 = int(input("What is the height of the third bar?" ))
bar4 = int(input("What is the height of the fourth bar? "))
Jane.left(90)
def bar(height):
Jane.forward(height)
Jane.left(90)
Jane.forward(20)
Jane.left(90)
Jane.forward(height)
Jane.right(180)
bar(bar4)
bar(bar3)
bar(bar2)
bar(bar1)
Answer:
import turtle
Jane = turtle.Turtle()
bar1 = int(input("What is the height of the first bar?" ))
bar2 = int(input("What is the height of the second bar?" ))
bar3 = int(input("What is the height of the third bar?" ))
bar4 = int(input("What is the height of the fourth bar? "))
Jane.left(90)
def bar(height):
if height > 200:
height = 200
Jane.forward(height)
Jane.left(90)
Jane.forward(20)
Jane.left(90)
Jane.forward(height)
Jane.right(180)
bar(bar4)
bar(bar3)
bar(bar2)
bar(bar1)
