CSE12 Lab 4: Simple CSV File Analysis
Due November 25, 2022, 11:59 PM
Minimum Submission Requirements
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Ensure that your Lab4 folder contains the following files:
· lab4f22_testbench.asm
· allocate_file_record_pointers.asm
· income_from_record.asm
· length_of_file.asm
· maxIncome.asm
· totalIncome.asm
· data.csv
The files mentioned above MUST have the exact file names. Else there is a penalty of 100%
· README.txt
Commit and push your repository
· Complete the Google Form (link within the text later in this document) with the correct commit ID of your final submission.
You absolutely MUST complete this Google Form correctly in order to be graded for Lab4. Failure to do so will result in a penalty of 100%.
This lab takes as input a CSV (comma separated values) file (.csv extension) that is used for generating tabular data in spreadsheets. Specifically, for this assignment, you will NEED to assume this CSV file was generated in Windows (the reason will be explained shortly). Consider the data.csv file below as it appears when you open it in Excel as an example.
Figure 1 data.csv file in Excel
This file shows the stock returns from an investment portfolio over a year. “A” column contains the stock name and “B” column indicates the returns in USD (We will assume that there is no negative stock return in all our CSV files). Then running the lab4f22_testbench.asm file in RARS that takes data.csv as the input CSV file should yield the following analysis:
1. Find the total file size in bytes (excluding any metadata generated by your OS)
2. Calculate the total income generated from all stocks
3. Find the stock that gave maximum returns.
When we run (the completed) lab4f22_testbench.asm in RARS, we get the output console as shown below.
Figure 2 After running the lab4f22_testbench.asm file with the Lab4 assignment fully completed
About the Windows CSV file format
To distinguish between each entry/row/record in the spreadsheet format of the CSV file, the following convention is adopted depending on the OS :
Windows – Lines end with both a
Linux – Lines end with only a
Macintosh (Mac OSX) – Lines end with only a
Macintosh (old) – Lines end with only a
where
If you open the provided data.csv file in Notepad++ on Windows with “Show all Characters” enabled, then you should get the following view showing the placement of the carriage return and line feed characters. .
Figure 3 data.csv on Notepad++ on Windows
So, for example, if I were to express record 2 from data.csv as a string of characters in RARS, I would write: “Kramerica,0\r\n”. If you are using an OS that is NOT Windows, it is likely that data.csv would not open correctly due to the encoding differences. If you have a text editor like Notepad++ that allows you to see all characters, make sure that the “\r\n” appears for each record in the file as shown in Figure 3.
Another assumption that we will state at this point is that we expect that in each record, the name of the stock is followed by the “,” and then immediately by the stock price expressed as an unsigned integer in base 10. So, with record 2 as an example, we will never have a situation where it is written as “Kramerica, . . 0\r\n” where the 2 red dots indicate two black spaces. This assumption will make the CSV file analysis by RARS a bit easier to code.
Much like how a high-level program has a specific file extension (.c for C, .py for python) RARS based RISC-V programs have an .asm extension.
In the Lab3 folder in the course Google Slide, you will see 7 assembly files. They are meant to read (and understood) in sequence:
1. add_function.asm – This program accepts two integers as user inputs and prints their addition result. The actual addition is done through calling a function, sum. Sum accepts two arguments in the a0, a1 registers and returns a0+a1 in a0 register
2. multiply_function.asm – This program accepts two integers as user inputs and prints their multiplication result. The actual multiplication is done through calling a function, multiply. Multiply accepts two arguments in the a0, a1 registers and returns a0*a1 in a0 register. This function in turn calls the function sum, described previously, to do a particular addition. Thus, multiply function is an example of a nested function call, a function which itself calls another function, sum in our case.
3. RISC-V_function_convention.pdf – This pdf describes the conventions of how we use the various 32 RV64I registers in terms of creating a program with multiple functions. The documentation is provided such that students can start working on implementing the required function for Lab4. Studying the comments in add_function.asm alongside reading this pdf should be sufficient to create the required functions for this assignment.
4. lab4f22_testbench.asm – This is the main testbench program you will run upon completion of all coding in Lab4 to ensure your Lab4 assignment works as expected. This file is initially provided such that if you run it as it is(with the other .asm files in the same directory), you will still get correctly generated output as far as using the function allocate_file_record_pointers from allocate_file_record_pointers.asm is concerned.
5. allocate_file_record_pointers.asm – This .asm file contains a function that creates an internal reference table in memory that points to the location of the start of a string indicating stock name and the start of the stock price for each and every record/entry in the data.csv file. This function has been fully written out for you. You must not edit or modify this file.
6. income_from_record.asm – This. asm file contains a function that you will write to convert the string data from the income of a record/entry in the spreadsheet and convert it into an integer. Example, convert the string “1234” into the actual integer 1234 in base 10.
7. length_of_file.asm – This. asm file contains a function that you will write to find the total amount of data bytes in the csv file. Refer to Figure 2 for an example.
8. maxIncome.asm – This. asm file contains a function that you will write to determine the name of the stock that has the maximum income in the csv file. Refer to Figure 2 for an example.
9. totalIncome.asm – This. asm file contains a function that you will write to sum up all the stock incomes in the csv file. Refer to Figure 2 for an example.
Please download these files and make sure to open them in RARS Text editor only. Else the comments and other important code sections won’t be properly highlighted and can be a hindrance to learning assembly language intuitively.
These 9 files have enough comments in the source code to jumpstart your understanding of RISC-V assembly programming for Lab 4 if the lectures have not yet covered certain topics in assembly programming.
Beyond these three files, you should have all the required resources in the Lecture Slides themselves, in the ppt files which have the title slide “ and RISC- V”. These slides are very self-explanatory and it is encouraged you start reading them even if the instructor hasn’t started discussing them in lecture.
For the usage of macros (which are utilized heavily in this lab to generate ecalls), please also refer to the RARS documentation on macros and ecalls as well.
Memory arrangement as defined in Lab4
The memory of RISC V is used as per the given requirements.
File Data Buffer
The data.csv file is treated as an input and saved to the file buffer location 0xffff0000 (MMIO).
Figure 4 data segment window for MMIO after running completed Lab4 assignment.
This is achieved by running the provided fileRead macro in lab4f22_testbench.asm .
For reference, from Figure 4, note the first record in the given data.csv file, “Kruger Industrial Smoothing,365\r\n”. The location of the letter ‘K’(encoded in ASCI as byte 0x4b or 64 in base 10) is 0xffff0000. The location of the character digit ‘3’, i.e. the start of the income,(encoded in ASCI as byte 0x33 or 51 in base 10) is 0xffff001c. If you count the bytes in the string “Kruger Industrial Smoothing,365\r\n” with ‘K’ being the 0th character, then ‘3’is the 28th character (0x1c), so this makes sense.
File Record Pointers
We need a systematic way to reference the memory locations of both the stock name and income from the file buffer at 0xffff0000. Remember that the stock names and stock incomes can be both of varying lengths of characters. Thus, we set aside the memory location 0x10040000 (heap) for a table containing the locations of the first character appearing in the stock name and income respectively of each record in the CSV file.
Figure 5 data segment window for heap after running completed Lab4 assignment.
This is achieved by running the provided function allocate_file_record_pointers in lab4f22_testbench.asm with the arguments in a0 and a1 registers being the file size in bytes (119 in our given example from data.csv) and the starting address of file buffer( 0x0ffff0000 in our given example from data.csv), respectively. The allocate_file_record _ pointers function is provided in the allocate_file_record _ pointers.asm file separately through the .include statement in lab4f22_testbench.asm.
For reference, from Figure 5, note in data.csv the first record’s location of start of income name (0xffff0000) and income value(0xffff001c) are stored as words in consecutive heap memory locations 0x10040000 and 0x10040004 respectively. Likewise, the second record’s (i.e. “Kramerica,0\r\n”) location of start of income name (0xffff0021) and income value(0xffff002b) are stored as words in consecutive heap memory locations 0x10040008 and 0x1004000c respectively. And so on and so forth. It is left as a HIGHLY recommended exercise that the student verifies this pattern for the remaining records in the CSV file and how they are allocated in the memory locations as shown in Figure 5. As we see in Figure 5, the 10 non zero heap memory locations from 0x10040000 to 0x10040024 indicate there were originally 10/2 = 5 records in our data.csv file. This value (no. of records) is returned in a0.
Student coded functions
365All student coded functions are to be written in the .asm files listed in the lab4f22_testbench.asm file using the .include statement (excluding allocate_file_record_pointers.asm). The functions written MUST abide by the register saving conventions as outlined in RISC-V_function_convention.pdf.
1. length_of_file(a1) – This function is to be written in length_of_file.asm. It accepts as argument in a1 register the buffer address holding file data and returns in a0 the length of the file data in bytes.
From our example involving data.csv, length_of_file(0xffff0000)=119
2. income_from_record(a0) – This function is to be written in income_from_record.asm. It accepts as argument in a0 register the pointer to start of numerical income in a record. It returns the income’s numerical value in a0.
From our example involving data.csv, income_from_record(0x10040004)=365. This is the income from the stock of Kruger Industrial Smoothing. income_from_record(0x1004000c)= 0. This is the income from the stock of Kramerica.
You may use the mul instruction if you feel your student code involves the multiplication operation.
3. totalIncome(a0,a1) – This function is to be written in totalIncome.asm. a0 contains the file record pointer array location (0x10040000 in our example) But your code MUST handle any address value. a1 contains the number of records in the CSV file. a0 then returns the total income (add up all the record incomes).
From our example involving data.csv, totalIncome(0x10040000, 5)= 1007
4. maxIncome(a0,a1) – This function is to be written in maxIncome.asm. a0 contains the file record pointer array location (0x10040000 in our example) But your code MUST handle any address value. a1 contains the number of records in the CSV file. a0 then returns the heap memory pointer to the actual location of the record stock name in the file buffer.
From our example involving data.csv, maxIncome(0x10040000, 5)= 0x10040010. Observe from Figure 5 that this address value points to the location of the stock name “Vandelay Industries”, which is valued at the maximum value of $500.
Test Cases
The Lab4 folder in Google Drive contains some test cases in the testCases subfolder for the case when filePath is changed to data2.csv and data3.csv respectively in lab4f22_testbench.asm. The corresponding output that was obtained for these two files from running lab4f22_testbench.asm for them is provided in this subfolder as well.
Automation
Note that our grading script is automated, so it is imperative that your program’s output matches the specification exactly. The output that deviates from the spec will cause point deduction.
Files to be submitted to your Lab4 folder in git repo
README.txt
-Instructions for the README can be found here.
lab4f22_testbench.asm
allocate_file_record_pointers.asm (DO NOT EDIT/MODIFY THIS FILE)
income_from_record.asm
length_of_file.asm
maxIncome.asm
totalIncome.asm
data.csv (DO NOT EDIT/MODIFY THIS FILE)
Google Form
You are required to answer questions about the lab in this Google Form.
A Note About Academic Integrity
This is the lab assignment where most students continue to get flagged for cheating. Please review the pamphlet on Academic Dishonesty and look at the examples in the first lecture for acceptable and unacceptable collaboration.
You should be doing this assignment completely all by yourself!
Grading Rubric (100 points total)
The following rubric applies provided you have fulfilled all criteria in Minimum Submission Requirements. Failing any criteria listed in that section would result in an automatic grade of zero which cannot be eligible for applying for a regrade request.
10 pt lab4f22_testbench.asm assembles without errors (so even if you submit lab4f22_testbench.asm with all the other required .asm files COMPLETELY unmodified by you, you would still get 10 pts!)
90 pt output in file lab3_output.txt matches the specification:
20 pt length_of_file.asm works
30 pt income_from_record.asm works
20 pt totalIncome.asm works
20 pt maxIncome.asm works
Regrade Request Form
Click here for the Regrade Request Form. Only those regrade requests that were submitted within 1 week of having received your Lab 3 grade (an announcement would be made on Piazza) will be considered. Else it will be ignored.
Legal Notice
All course materials and relevant files located in the Lab4 folder in the course Google Drive must not be shared by the students outside of the course curriculum on any type of public domain site or for financial gain. Thus, if any of the Lab3 documents is found in any type of publicly available site (e.g., GitHub, stack Exchange), or for monetary gain (e.g., Chegg), then the original poster will be cited for misusing CSE12 course-based content and will be reported to UCSC for academic dishonesty.
In the case of sites such as Chegg.com, we have been able to locate course material shared by a previous quarter student. Chegg cooperated with us by providing the student’s contact details, which was sufficient proof of the student’s misconduct leading to an automatic failing grade in the course.
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