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CSC 111 ASSIGNMENT 6

 CSC 111 - FALL 2020

FUNDAMENTALS OF PROGRAMMING
WITH ENGINEERING APPLICATIONS
ASSIGNMENT 6
UNIVERSITY OF VICTORIA
This assignment will be submitted electronically through conneX (as described in ‘Sub￾mission Instructions’ below). All code submissions must be your own work. Sending
or receiving code from other students is plagiarism.
1 Overview
This assignment involves performing simple data analysis on large datasets of temperature obser￾vations from around Vancouver Island. The main goal of the assignment is to develop skills with
structured data and file input/output.
Your submission will be a library implementation (similar to Assignment 4). A header file temperature data.h
and a blank temperature data.c file have been provided, along with several tester programs that
use various functions from the library.
Some of the functions you write will work with input files containing set of temperature observations.
The format for these input files is described in Section 2 below. A set of sample input files has been
posted to conneX.
Best Practices for Code Style
Your submissions must observe the following guidelines. Submissions which do not meet the guide￾lines will have marks deducted, even if they function correctly (although some of the guidelines,
such as those relating to uninitialized memory, might also affect the ability of the program to work
correctly on a reliable basis, which could result in a deduction for both style and function).
❼ Submitted files must be syntactically correct and named according to the assignment speci-
fication.
❼ Every source file must contain a comment (at or near the top of the file) with your name,
student number, the date the code was written and a brief description of the program.
❼ The goto statement is not permitted in any assignment submissions. Instead, your code
should use structured control flow elements, like if, for and while. ❼ Global variables (data variables created outside of the scope of a function) are not permitted,
except when explicitly allowed by the assignment. For this assignment, no global variables
are permitted, except for const variables if needed.
❼ Every function with a non-void return type must return a value.
❼ Uninitialized variables may not be used before being assigned a value.
❼ Every file opened (by functions such as fopen) must be explicitly closed (by a call to fclose).
Course Material for CSC 111 at the University of Victoria. ➞2020 Bill Bird. 1
❼ Any dynamically allocated memory must be freed explicitly. For this assignment, it should
not be necessary to use any dynamically allocated memory.
2 Input Format
The Vancouver Island School-Based Weather Station Network (VWSN)1 maintains a set of weather
stations at various public sites around Vancouver Island, primarily in elementary and secondary
schools, but also at scientific institutions and universities. Each station is identified by a numerical
station identifier. For example, there are three weather stations active on the UVic campus: Station
1 is located on the roof of the Ian Stewart Complex, station 143 is located on the Earth, Ocean
and Atmospheric Sciences building and station 163 is located on the David Turpin building.
Each weather station reports observations of current conditions for a variety of scientific variables
(temperature, barometric pressure, humidity, wind speed/direction, etc.) to a centralized server at
regular intervals, and the collected data is publicly available. For this assignment, we will work
with datasets containing temperature observations from all of the active stations in the network
(about 150 - 200 at any given time) at a resolution of about five minutes. You should consider
that if 150 stations report data every five minutes for an entire day, there will be 150 ·
60
5 = 1800
observations per hour and 150 ·
60
5 · 24 = 43, 200 observations for the whole day. Some of our input
files will involve multiple days of data, so you will be writing programs that can handle hundreds
of thousands of data points.
For this assignment, the VWSN temperature data has been converted into text files where each
line describes one temperature observation (at a particular time, from a particular station). Each
line of the file has the form
year month day hour minute station_number temperature
For example, the following sample contains several temperature observations in the format above.
Except for the temperature values (which are floating point values), all of the values in the file are
integers.
2020 11 14 12 07 1 8.7
2020 11 14 11 58 143 8.6
2020 11 14 13 03 163 8.9
2020 11 13 18 06 1 7.3
The first line contains an observation of 8.7 degrees Celsius from station number 1 at 12:07 on
November 14th, 2020. The third line contains an observation of 8.9 degrees Celsius from station
number 163 at 13:03 on November 14th, 2020. The hour and minute columns specify a 24-hour
time (so 12:05 is five minutes after noon). Notice that the rows are in no particular order (and you
should not assume that they will be sorted by date, or by station number, or by temperature).
A data file may contain any number of lines, spanning any number of months and days and any
set of stations. You may make the following assumptions.
❼ In any valid file, every line contains all seven data fields (year, month, day, hour, minute,
station number and temperature).
1. http://www.victoriaweather.ca
Course Material for CSC 111 at the University of Victoria. ➞2020 Bill Bird. 2
❼ There is no requirement that every station report observations in every file (and, in fact, some
station numbers will never appear since the associated station has been decommissioned), but
you may assume that the every station ID number will be greater than 0 and less than or
equal to 250.
❼ Temperatures in degrees Celsius may be positive, zero or negative, so your programs should
not assume that all temperatures are positive. Due to the local climate, there are usually
relatively few negative temperature observations, but they do occur (and will be part of the
testing suite).
❼ Most of the provided test data files contain observations from late October and early Novem￾ber 2020, but some files contain dates in other months (one file contains a sample of data
from an entire year). You may assume that month numbers are always between 1 and 12
(inclusive) and that day numbers are always between 1 and 31 (inclusive). You do not have
to verify that a given month contains the right number of days (so if you see an observation
from February 31st, which shouldn’t exist, you can treat it just like any other observation,
although no such observations will be present in the provided files).
You can read numerical data from the input files by opening them with fopen and using the fscanf
function (with appropriate formatting specifiers) to read data. You are strongly encouraged to
avoid the use of raw input functions like fgetc or fgets on this assignment (since fscanf is the
only library function that can reliably read formatted numerical data from a file). You are also
advised to avoid using feof in your solution (since you can use the return value of fscanf to
decide whether any input was read).
3 Your Task
A header file temperature_data.h and a blank implementation temperature_data.c have been
posted to conneX. The library header contains typedef statements to created structure types
for a date (year/month/day) and a single observation (containing a date, time, station number
and temperature). The library functions work with these observation objects in various ways (e.g.
reading observations from a file or processing arrays of observations). Your task is to implement
each function in the library according to its specification.
You may not make any assumptions about the structure of input data except those explicitly given
in this specification document or in the specification comments in the library header file. Except in
the print_station_extremes and print_daily_averages functions (which are explicitly required
to produce output to the user), the library functions must not print any output to the user.
As with Assignment 4, since your submission will be a library implementation, your submission
must not contain an implementation of main(), since that will make it impossible for us to test.
Any submissions which contain an implementation of main() will receive a mark of zero.
Important Note: Before starting on the print_station_extremes and print_daily_averages
data analysis functions, make sure that all of the other library functions (which read observations
from a file) work correctly. Unless the input functions (count_observations, read_observation
and load_all_observations) work correctly, it will not be possible for us to test your data analysis
functions.
Course Material for CSC 111 at the University of Victoria. ➞2020 Bill Bird. 3
3.1 Tester Programs
Several tester programs have been provided to help you debug and test your implementation.
❼ a6_tester_basic.c: Creates several Observation objects directly (without using the File
I/O library functions) and tests the print_station_extremes and print_daily_averages
functions.
❼ a6_tester_read_observations.c: Reads Observation objects from a file using the read_observation
function and prints each observation out. This might be helpful for validating your read_observation
implementation.
❼ a6_tester_load_all.c: Reads Observation objects from a file using the load_all_observations
function and prints each observation out. This might be helpful for validating your count_observations
and load_all_observations implementations.
❼ a6_tester_all.c: Reads Observation objects from a file using the load_all_observations
and then uses print_station_extremes and print_daily_averages to analyze the com￾plete set of observations.
To run each tester program, you can compile its source file together with your library implementa￾tion. For example, to compile with the a6_tester_basic.c program, you can use the command
gcc -Wall -std=c11 -o a6_tester_basic a6_tester_basic.c temperature_data.c
3.2 Daily Averages
Consider the small input sample below.
2020 11 14 12 07 1 8.7
2020 11 14 11 58 143 8.6
2020 11 14 13 03 163 8.9
2020 11 13 18 06 1 7.3
2020 11 13 19 03 1 7.3
2020 12 1 01 06 2 -1.0
2020 12 1 09 07 2 -0.5
2020 6 10 17 00 111 18.7
Notice that there are observations present for 4 different days (November 14th, November 13th,
December 1st and June 10th). The purpose of the print_daily_averages function is to take an
array of Observation objects and print out a summary of the average temperature for each distinct
date (year/month/day) in the dataset.
The output will have one line for each date in the input file. Each line will have the format
“year month day average_temperature”, where temperature is printed with one decimal place
(using the ‘%.1f’ specifier). The output must be printed ordered by date (with earlier dates
appearing first). Dates for which no observations were recorded must be omitted from the output.
Dates for which there are at least one observation must appear exactly once in the output (printing
multiple lines of output for the same date is incorrect).
For example, on the set of observations taken from the input file shown above, the print_daily_averages
function would print the following output (and nothing else).
2020 6 10 18.7
2020 11 13 7.3
Course Material for CSC 111 at the University of Victoria. ➞2020 Bill Bird. 4
2020 11 14 8.7
2020 12 1 -0.8
3.3 Station Extremes
Again consider the input sample below from Section 3.2.
2020 11 14 12 07 1 8.7
2020 11 14 11 58 143 8.6
2020 11 14 13 03 163 8.9
2020 11 13 18 06 1 7.3
2020 11 13 19 03 1 7.3
2020 12 1 01 06 2 -1.0
2020 12 1 09 07 2 -0.5
2020 6 10 17 00 111 18.7
The data contains records for 5 station IDs (1, 2, 111, 143 and 163). Some stations only have one
reported observation and some have several.
The purpose of the print_station_extremes function is to take an array of Observation ob￾jects and print out a summary of the extreme observations seen at each station. The extreme
observations are the minimum observed temperature (and the time of that observation) and the
maximum observed temperature (and the time of that observation). In the event that the same
extreme is observed multiple times (for example, if the minimum observed temperature is s 6.10
degrees, but was observed on two separate occasions), the program will report the date and time of
the chronologically earliest occurrence of that temperature in the input (which will not necessarily
be the first such observation to appear in the input file, since the records in the input file may
appear in any order).
The output will have one line for each station ID in the input dataset. The output will be formatted
to be human readable, using the formatting shown below (the exact printf formatting string to use
is given in the specification in the header file). The output must be printed ordered by station
number. Stations for which no observations were recorded must be omitted from the output.
Stations with at least one observation must appear exactly once (it is not permitted for multiple
lines of output to refer to the same station). For example, on the set of observations taken from the
input file shown above, the print_station_extremes function would print the following output
(and nothing else).
Station 1: Minimum = 7.30 degrees (2020-11-13 18:06), Maximum = 8.70 degrees (2020-11-14 12:07)
Station 2: Minimum = -1.00 degrees (2020-12-01 01:06), Maximum = -0.50 degrees (2020-12-01 09:07)
Station 111: Minimum = 18.70 degrees (2020-06-10 17:00), Maximum = 18.70 degrees (2020-06-10 17:00)
Station 143: Minimum = 8.60 degrees (2020-11-14 11:58), Maximum = 8.60 degrees (2020-11-14 11:58)
Station 163: Minimum = 8.90 degrees (2020-11-14 13:03), Maximum = 8.90 degrees (2020-11-14 13:03)
4 Evaluation
Your code must compile and run correctly in the CSC 111 virtual lab environment using the
compile and run commands given above. If your code does not compile as submitted (with
no modifications whatsoever) when combined with the provided temperature_data.h file and a
suitable main program, you will receive a mark of zero. Note that you are not permitted to change
Course Material for CSC 111 at the University of Victoria. ➞2020 Bill Bird. 5
anything in the temperature_data.h file, since only the temperature_data.c file will be collected
for marking, so you must make sure that your function definitions comply with the specification in
the provided version of the temperature_data.h file.
This assignment is worth 3% of your final grade and will be marked out of 17.
Second Chance Submission
After the initial due date (Sunday, Dec. 6th, 2020) has passed, your code will be automatically
tested using a variety of inputs (which will not necessarily match the example inputs shown in the
previous sections). If your programs do not give correct output on some of the tested inputs, you
will be allowed to fix your program and resubmit it until Wednesday, Dec. 9th, 2020. The grade
for the assignment will be computed to be the average of the grade for both submissions (so you
can recover some, but not all, of your marks by fixing and resubmitting your code). If you do not
resubmit your code, your initial submission will be used in place of the resubmission.
If you do not submit an initial version of your code before the due date, you are not permitted to
resubmit your code and will receive a mark of zero.
Submission Instructions
All submissions for this assignment will be accepted electronically. Submit your temperature data.c
file through the Assignments tab on conneX. You are permitted to delete and resubmit your as￾signment as many times as you want before the due date, but no submissions will be accepted after
the due date has passed. For the second chance submission described above, a separate assignment
entry will be created after the initial due date.
Ensure that each file you submit contains a comment with your name and student number, and
that the files for each question are named correctly (as described in the question). If you do not
name your files correctly, or if you do not submit them electronically, it will not be possible to mark
your submission and you will receive a mark of zero.
After submitting your assignment, conneX will automatically send you a confirmation email to your
@uvic.ca email address If you do not receive such an email, your submission was not received. If
you have problems with the submission process, send an email to your instructor before the due
date.
To verify that you submitted the correct file, you can download your submission from conneX after
submitting and test that it works correctly in the virtual lab environment. It will be assumed that
all submissions have been tested this way, and therefore that there is no reasonable chance that an
incorrect file was submitted accidentally, so no exceptions will be made to the due date as a result
of apparently incorrect versions being submitted.
Course Material for CSC 111 at the University of Victoria. ➞2020 Bill Bird. 6
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