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      代寫COP3502、Python程序設計代做
      代寫COP3502、Python程序設計代做

      時間:2024-10-23  來源:合肥網hfw.cc  作者:hfw.cc 我要糾錯



       
      P2: RLE with Images Python 
       
      Overview 
       
      In this project students will develop routines to encode and decode data for images using run-length encoding 
      (RLE). Students will implement encoding and decoding of raw data, conversion between data and strings, and 
      display of information by creating procedures that can be called from within their programs and externally. This 
      project will give students practice with loops, strings, Python lists, methods, and type-casting. 
       
      Run-Length Encoding 
       
      RLE is a form of lossless compression used in many industry applications, including imaging. It is intended to 
      take advantage of datasets where elements (such as bytes or characters) are repeated several times in a row in 
      certain types of data (such as pixel art in games). Black pixels often appear in long “runs” in some animation 
      frames; instead of representing each black pixel individually, the color is recorded once, following by the number 
      of instances. 
       
      For example, consider the first row of pixels from the pixel image of a gator 
      (shown in Figure 1). The color black is “0”, and green is “2”: 
       
      Flat (unencoded) data: 0 0 2 2 2 0 0 0 0 0 0 2 2 0_ 
       
      Run-length encoded data: 2 0 3 2 6 0 2 2 1 0_. 
      Figure 1 – Gator Pixel Image 
       
      The encoding for the entire image in RLE (in hexadecimal) – width, height, and pixels - is: 
       
       
      1E|**0**602220121F10721AF21092301210**60**308250 
       
      \W/ \H/ \------------------------------------------PIXELS-----------------------------------------------/ 
       
      Image Formatting 
       
      The images are stored in uncompressed / unencoded format natively. In addition, there are a few other rules to 
      make the project more tractable: 
       
       1. Images are stored as a list of numbers, with the first two numbers holding image width and height. 
       
       2. Pixels will be represented by a number between 0 and 15 (representing 16 unique colors). 
      3. No run may be longer than 15 pixels; if any pixel runs longer, it should be broken into a new run. 
       
      For example, the chubby smiley image (Figure 2) would contain the data shown in Figure 3. 
       
      Figure 2 Figure 3 – Data for “Chubby Smiley” 
       
      NOTE: Students do not need to work with the image file format itself – they only need to work with lists and 
      encode or decode them. Information about image formatting is to provide context. Requirements 
       
      Student programs must present a menu when run in standalone mode and must also implement several methods, 
      defined below, during this assignment. 
       
      Standalone Mode (Menu) 
       
      When run as the program driver via the main() method, the program should: 
       
      1) Display welcome message 
       
       2) Display color test (ConsoleGfx.test_rainbow) 
      3) Display the menu 
      4) Prompt for input 
       
      Note: for colors to properly display, it is highly recommended that student 
      install the “CS1” theme on the project page. 
       
       
      There are five ways to load data into the program that should be provided and four ways the program must be 
      able to display data to the user. 
       
      Loading a File 
       
      Accepts a filename from the user and invokes ConsoleGfx.load_file(filename): 
       
      Select a Menu Option: 1 
       
      Enter name of file to load: testfiles/uga.gfx 
       
      Loading the Test Image 
       
      Loads ConsoleGfx.test_image: 
      Select a Menu Option: 2_ 
      Test image data loaded._ 
       
      Reading RLE String 
      Reads RLE data from the user in hexadecimal notation with delimiters (smiley example): 
       
      Select a Menu Option: 3 
       
      Enter an RLE string to be decoded: 28:10:6B:10:10B:10:2B:10:12B:10:2B:10:5B:20:11B:10:6B:10 
       
      Reading RLE Hex String 
      Reads RLE data from the user in hexadecimal notation without delimiters (smiley example): 
       
      Select a Menu Option: 4 
       
      Enter the hex string holding RLE data: 28106B10AB102B10CB102B105B20BB106B10 
       
      Reading Flat Data Hex String 
      Reads raw (flat) data from the user in hexadecimal notation (smiley example): 
       
      Select a Menu Option: 5 
       
      Enter the hex string holding flat data: 
       
      880bbbbbb0bbbbbbbbbb0bb0bbbbbbbbbbbb0bb0bbbbb00bbbbbbbbbbb0bbbbbb0 
       
      Displaying the Image 
       
      Displays the current image by invoking the ConsoleGfx.display_image(image_data) method. 
       
      Displaying the RLE String 
       
      Converts the current data into a human-readable RLE representation (with delimiters): 
       
      Select a Menu Option: 7 RLE representation: 28:10:6b:10:10b:10:2b:10:12b:10:2b:10:5b:20:11b:10:6b:10 
       
      Note that each entry is 2-3 characters; the length is always in decimal, and the value in 
      hexadecimal! Displaying the RLE Hex Data 
       
      Converts the current data into RLE hexadecimal representation (without delimiters): 
       
      Select a Menu Option: 8 
       
      RLE hex values: 28106b10ab102b10cb102b105b20bb106b10 
       
      Displaying the Flat Hex Data 
      Displays the current raw (flat) data in hexadecimal representation (without delimiters): 
       
      Select a Menu Option: 9 
       
      Flat hex values: 880bbbbbb0bbbbbbbbbb0bb0bbbbbbbbbbbb0bb0bbbbb00bbbbbbbbbbb0bbbbbb0 
       
      Class Methods 
       
      Student classes are required to provide all of the following methods with defined behaviors. We recommend 
      completing them in the following order: 
       
      1. to_hex_string(data) 
      Translates data (RLE or raw) a hexadecimal string (without delimiters). This method can also aid debugging. 
       
      Ex: to_hex_string([3, 15, 6, 4]) yields string "3f64". 
       
      2. count_runs(flat_data) 
      Returns number of runs of data in an image data set; double this result for length of encoded (RLE) list. 
       
      Ex: count_runs([15, 15, 15, 4, 4, 4, 4, 4, 4]) yields integer 2. 
       
      3. encode_rle(flat_data) 
      Returns encoding (in RLE) of the raw data passed in; used to generate RLE representation of a data. 
       
      Ex: encode_rle([15, 15, 15, 4, 4, 4, 4, 4, 4]) yields list [3, 15, 6, 4]. 
       
      4. get_decoded_length(rle_data) 
      Returns decompressed size RLE data; used to generate flat data from RLE encoding. (Counterpart to #2) 
       
      Ex: get_decoded_length([3, 15, 6, 4]) yields integer 9. 
       
      5. decode_rle(rle_data) 
      Returns the decoded data set from RLE encoded data. This decompresses RLE data for use. (Inverse of #3) 
       
      Ex: decode_rle([3, 15, 6, 4]) yields list [15, 15, 15, 4, 4, 4, 4, 4, 4]. 
       
      6. string_to_data(data_string) 
       
      Translates a string in hexadecimal format into byte data (can be raw or RLE). (Inverse of #1) 
       
      Ex: string_to_data ("3f64") yields list [3, 15, 6, 4]. 
       
      7. to_rle_string(rle_data) 
       
      Translates RLE data into a human-readable representation. For each run, in order, it should display the run 
      length in decimal (**2 digits); the run value in hexadecimal (1 digit); and a delimiter, ‘:’, between runs. (See 
      examples in standalone section.) 
       
      Ex: to_rle_string([15, 15, 6, 4]) yields string "15f:64". 
       
      8. string_to_rle(rle_string) 
      Translates a string in human-readable RLE format (with delimiters) into RLE byte data. (Inverse of #7) 
       
      Ex: string_to_rle("15f:64") yields list [15, 15, 6, 4]. Submissions 
       
      NOTE: Your output must match the example output *exactly*. If it does not, you will not receive full credit for 
      your submission! 
       
      File: 
      Method: 
       
       
      rle_program.py 
       
      Submit on ZyLabs 
       
      Do not submit any other files! 
       
      Part A (5 points) 
       
      For part A of this assignment, students will set up the standalone menu alongside the 4 requirements listed on 
      page 2 of this document. In addition to this, students should also set up menu options 1 (loading an image), 2 
      (loading specifically the test image), and 6 (displaying whatever image was loaded) in order to help grasp the 
      bigger picture of the project. 
       
      This involves correctly setting up the console_gfx.py file and utilizing its methods. You will use 
      ConsoleGfx.display_image(...) to display images. Notice how it takes in a decoded list. This is the 
       
      format in which you will locally (in your program) store any image data that you are working with. When 
      the document mentions that something is “loaded” it means that something is stored as a list of flat 
      (decoded) data. 
       
      Part B (60 points) 
       
      For part B of this assignment, students will complete the first 6 methods on page 3 of this document. They 
      must match specifications and pass test cases on chapter 12.2 in Zybooks, which will be your means of 
      submission for this part of the assignment. Your grade will be the score received on Zybooks. To guarantee 
      functionality moving forward to part C, it is expected that you will receive full marks for this section. 
       
      Part C (35 points) 
       
      For part C of this assignment, students will now complete the final 2 methods on page 3 of this document as well 
      as the remainder of the project involving the menu options and understanding how all the individual methods are 
      intertwined with each other. You will submit your whole program including the 8 methods listed above and the 
      main method in chapter 12.3 in Zybooks. We will only test your remaining 2 methods and the main method in 
      part C. 


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