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Felix Martin
2019-11-24 13:28:23 -05:00
commit e3a7b12a79
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*.sublime-workspace
__pycache__

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heD35Vv_EeajDAoJAOJJEw
Any Integer
mJWtY, _coursera, solver.py, Send an Integer

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#!/usr/bin/python
# -*- coding: utf-8 -*-
def solve_it(input_data):
# return a positive integer, as a string
return '10'
if __name__ == '__main__':
print('This script submits the integer: %s\n' % solve_it(''))

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#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import print_function
import json
import time
import os
from collections import namedtuple
# Python 2/3 compatibility
# Python 2:
try:
from urlparse import urlparse
from urllib import urlencode
from urllib2 import urlopen, Request, HTTPError
except:
pass
# Python 3:
try:
from urllib.parse import urlparse, urlencode
from urllib.request import urlopen, Request
from urllib.error import HTTPError
except:
pass
import sys
# Python 2:
if sys.version_info < (3, 0):
def input(str):
return raw_input(str)
# Python 3, backward compatibility with unicode test
if sys.version_info >= (3, 0):
unicode = type(str)
version = '1.0.0'
submitt_url = \
'https://www.coursera.org/api/onDemandProgrammingScriptSubmissions.v1'
Metadata = namedtuple("Metadata", ['assignment_key', 'name', 'part_data'])
Part = namedtuple("Part", ['id', 'input_file', 'solver_file', 'name'])
def load_metadata(metadata_file_name='_coursera'):
'''
Parses an assignment metadata file
Args:
metadata_file_name (str): location of the metadata file
Returns:
metadata as a named tuple structure
'''
if not os.path.exists(metadata_file_name):
print('metadata file "%s" not found' % metadata_file_name)
quit()
try:
with open(metadata_file_name, 'r') as metadata_file:
url = metadata_file.readline().strip()
name = metadata_file.readline().strip()
part_data = []
for line in metadata_file.readlines():
if ',' in line:
line_parts = line.split(',')
line_parts = [x.strip() for x in line_parts]
assert(len(line_parts) == 4)
part_data.append(Part(*line_parts))
if len(url) <= 0:
print('Empty url in _coursera file: %s' % metadata_file_name)
quit()
if len(name) <= 0:
print('Empty assignment name in _coursera file: %s' % metadata_file_name)
quit()
except Exception as e:
print('problem parsing assignment metadata file')
print('exception message:')
print(e)
quit()
return Metadata(url, name, part_data)
def part_prompt(problems):
'''
Prompts the user for which parts of the assignment they would like to
submit.
Args:
problems: a list of assignment problems
Returns:
the selected subset of problems
'''
count = 1
print('Hello! These are the assignment parts that you can submit:')
for i, problem in enumerate(problems):
print(str(count) + ') ' + problem.name)
count += 1
print('0) All')
part_text = input('Please enter which part(s) you want to submit (0-%d): ' % (count-1))
selected_problems = []
selected_models = []
for item in part_text.split(','):
try:
i = int(item)
except:
print('Skipping input "' + item + '". It is not an integer.')
continue
if i >= count or i < 0:
print('Skipping input "' + item + '". It is out of the valid range (0-%d).' % (count-1))
continue
if i == 0:
selected_problems.extend(problems)
continue
if i <= len(problems):
selected_problems.append(problems[i-1])
if len(selected_problems) <= 0:
print('No valid assignment parts identified. Please try again. \n')
return part_prompt(problems)
else:
return selected_problems
def compute(metadata, solver_file_override=None):
'''
Determines which assignment parts the student would like to submit.
Then computes his/her answers to those assignment parts
Args:
metadata: the assignment metadata
solver_file_override: an optional model file to override the metadata
default
Returns:
a dictionary of results in the format Coursera expects
'''
if solver_file_override is not None:
print('Overriding solver file with: '+solver_file_override)
selected_problems = part_prompt(metadata.part_data)
results = {}
#submission needs empty dict for every assignment part
results.update({prob_data.id : {} for prob_data in metadata.part_data})
for problem in selected_problems:
if solver_file_override != None:
solver_file = solver_file_override
else:
solver_file = problem.solver_file
if not os.path.isfile(solver_file):
print('Unable to locate assignment file "%s" in the current working directory.' % solver_file)
continue
# if a relative path is given, add that patth to system path so import will work
if os.path.sep in solver_file:
split = solver_file.rfind(os.path.sep)
path = solver_file[0:split]
file_name = solver_file[split+1:]
sys.path.insert(0, path)
solver_file = file_name
submission = output(problem.input_file, solver_file)
if submission != None:
results[problem.id] = {'output':submission}
print('\n== Computations Complete ...')
return results
def load_input_data(file_location):
with open(file_location, 'r') as input_data_file:
input_data = ''.join(input_data_file.readlines())
return input_data
def output(input_file, solver_file):
'''
Attempts to execute solve_it locally on a given input file.
Args:
input_file: the assignment problem data of interest
solver_file: a python file containing the solve_it function
Returns:
the submission string in a format that the grader expects
'''
try:
pkg = __import__(solver_file[:-3]) # remove '.py' extension
if not hasattr(pkg, 'solve_it'):
print('the solve_it() function was not found in %s' % solver_file)
quit()
except ImportError:
print('import error with python file "%s".' % solver_file)
quit()
solution = ''
start = time.clock()
try:
solution = pkg.solve_it(load_input_data(input_file))
except Exception as e:
print('the solve_it(input_data) method from solver.py raised an exception')
print('try testing it with python ./solver.py before running this submission script')
print('exception message:')
print(str(e))
print('')
return 'Local Exception =('
end = time.clock()
if not (isinstance(solution, str) or isinstance(solution, unicode)):
print('Warning: the solver did not return a string. The given object will be converted with the str() method.')
solution = str(solution)
print('Submitting: ')
print(solution)
return solution.strip() + '\n' + str(end - start)
def login_dialog(assignment_key, results, credentials_file_location = '_credentials'):
'''
Requests Coursera login credentials from the student and submits the
student's solutions for grading
Args:
assignment_key: Coursera's assignment key
results: a dictionary of results in Cousera's format
credentials_file_location: a file location where login credentials can
be found
'''
success = False
tries = 0
while not success:
# stops infinate loop when credentials file is incorrect
if tries <= 0:
login, token = login_prompt(credentials_file_location)
else:
login, token = login_prompt('')
code, responce = submit_solution(assignment_key, login, token, results)
print('\n== Coursera Responce ...')
#print(code)
print(responce)
if code != 401:
success = True
else:
print('\ntry logging in again')
tries += 1
def login_prompt(credentials_file_location):
'''
Attempts to load credentials from a file, if that fails asks the user.
Returns:
the user's login and token
'''
if os.path.isfile(credentials_file_location):
try:
with open(credentials_file_location, 'r') as metadata_file:
login = metadata_file.readline().strip()
token = metadata_file.readline().strip()
metadata_file.close()
except:
login, token = basic_prompt()
else:
login, token = basic_prompt()
return login, token
def basic_prompt():
'''
Prompt the user for login credentials.
Returns:
the user's login and token
'''
login = input('User Name (e-mail address): ')
token = input('Submission Token (from the assignment page): ')
return login, token
def submit_solution(assignment_key, email_address, token, results):
'''
Sends the student's submission to Coursera for grading via the submission
API.
Args:
assignment_key: Coursera's assignment key
email_address: the student's email
token: the student's assignment token
results: a dictionary of results in Cousera's format
Returns:
the https response code and a feedback message
'''
print('\n== Connecting to Coursera ...')
print('Submitting %d of %d parts' %
(sum(['output' in v for k,v in results.items()]), len(results)))
# build json datastructure
parts = {}
submission = {
'assignmentKey': assignment_key,
'submitterEmail': email_address,
'secret': token,
'parts': results
}
# send submission
req = Request(submitt_url)
req.add_header('Cache-Control', 'no-cache')
req.add_header('Content-type', 'application/json')
try:
res = urlopen(req, json.dumps(submission).encode('utf8'))
except HTTPError as e:
responce = json.loads(e.read().decode('utf8'))
if 'details' in responce and responce['details'] != None and \
'learnerMessage' in responce['details']:
return e.code, responce['details']['learnerMessage']
else:
return e.code, 'Unexpected response code, please contact the ' \
'course staff.\nDetails: ' + responce['message']
code = res.code
responce = json.loads(res.read().decode('utf8'))
if code >= 200 and code <= 299:
return code, 'Your submission has been accepted and will be ' \
'graded shortly.'
return code, 'Unexpected response code, please contact the '\
'course staff.\nDetails: ' + responce
def main(args):
'''
1) Reads a metadata file to customize the submission process to
a particular assignment.
2) The compute the student's answers to the assignment parts.
3) Submits the student's answers for grading.
Provides the an option for saving the submissions locally. This is very
helpful when testing the assignment graders.
Args:
args: CLI arguments from an argparse parser
'''
# needed so that output can import from the cwd
sys.path.append(os.getcwd())
if args.metadata is None:
metadata = load_metadata()
else:
print('Overriding metadata file with: '+args.metadata)
metadata = load_metadata(args.metadata)
print('==\n== '+metadata.name+' Solution Submission \n==')
# compute dialog
results = compute(metadata, args.override)
if sum(['output' in v for k,v in results.items()]) <= 0:
return
# store submissions if requested
if args.record_submission == True:
print('Recording submission as files')
for sid, submission in results.items():
if 'output' in submission:
directory = '_'+sid
if not os.path.exists(directory):
os.makedirs(directory)
submission_file_name = directory+'/submission.sub'
print(' writting submission file: '+submission_file_name)
with open(submission_file_name,'w') as submission_file:
submission_file.write(submission['output'])
submission_file.close()
return
# submit dialog
if args.credentials is None:
login_dialog(metadata.assignment_key, results)
else:
print('Overriding credentials file with: '+args.credentials)
login_dialog(metadata.assignment_key, results, args.credentials)
import argparse
def build_parser():
'''
Builds an argument parser for the CLI
Returns:
parser: an argparse parser
'''
parser = argparse.ArgumentParser(
description='''The submission script for Discrete Optimization
assignments on the Coursera Platform.''',
epilog='''Please file bugs on github at:
https://github.com/discreteoptimization/assignment/issues. If you
would like to contribute to this tool's development, check it out at:
https://github.com/discreteoptimization/assignment'''
)
parser.add_argument('-v', '--version', action='version',
version='%(prog)s '+version)
parser.add_argument('-o', '--override',
help='overrides the python source file specified in the \'_coursera\' file')
parser.add_argument('-m', '--metadata',
help='overrides the \'_coursera\' metadata file')
parser.add_argument('-c', '--credentials',
help='overrides the \'_credentials\' credentials file')
parser.add_argument('-rs', '--record_submission',
help='records the submission(s) as files', action='store_true')
return parser
if __name__ == '__main__':
parser = build_parser()
main(parser.parse_args())

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{
"folders":
[
{
"path": "."
}
]
}

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import java.io.*;
import java.util.List;
import java.util.ArrayList;
/**
* The class <code>Solver</code> is an implementation of a greedy algorithm to solve the knapsack problem.
*
*/
public class Solver {
/**
* The main class
*/
public static void main(String[] args) {
try {
solve(args);
} catch (IOException e) {
e.printStackTrace();
}
}
/**
* Read the instance, solve it, and print the solution in the standard output
*/
public static void solve(String[] args) throws IOException {
String fileName = null;
// get the temp file name
for(String arg : args){
if(arg.startsWith("-file=")){
fileName = arg.substring(6);
}
}
if(fileName == null)
return;
// read the lines out of the file
List<String> lines = new ArrayList<String>();
BufferedReader input = new BufferedReader(new FileReader(fileName));
try {
String line = null;
while (( line = input.readLine()) != null){
lines.add(line);
}
}
finally {
input.close();
}
// parse the data in the file
String[] firstLine = lines.get(0).split("\\s+");
int items = Integer.parseInt(firstLine[0]);
int capacity = Integer.parseInt(firstLine[1]);
int[] values = new int[items];
int[] weights = new int[items];
for(int i=1; i < items+1; i++){
String line = lines.get(i);
String[] parts = line.split("\\s+");
values[i-1] = Integer.parseInt(parts[0]);
weights[i-1] = Integer.parseInt(parts[1]);
}
// a trivial greedy algorithm for filling the knapsack
// it takes items in-order until the knapsack is full
int value = 0;
int weight = 0;
int[] taken = new int[items];
for(int i=0; i < items; i++){
if(weight + weights[i] <= capacity){
taken[i] = 1;
value += values[i];
weight += weights[i];
} else {
taken[i] = 0;
}
}
// prepare the solution in the specified output format
System.out.println(value+" 0");
for(int i=0; i < items; i++){
System.out.print(taken[i]+" ");
}
System.out.println("");
}
}

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_le-pVv_EeasJA5dVmWj2w
Knapsack
awPVV, ./data/ks_30_0, solver.py, Knapsack Problem 1
hHYWS, ./data/ks_50_0, solver.py, Knapsack Problem 2
JwWnx, ./data/ks_200_0, solver.py, Knapsack Problem 3
Z2tMt, ./data/ks_400_0, solver.py, Knapsack Problem 4
PUIxa, ./data/ks_1000_0, solver.py, Knapsack Problem 5
AKXWc, ./data/ks_10000_0, solver.py, Knapsack Problem 6

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90000 90001
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77500 77501

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100 3190802
1491 3882
399 1298
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55 610
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1201 3302
1697 4494
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9044 21988
147380 352660
31852 76604
9044 21988
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9044 21988
1635 4370
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50 600
4600 11300
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7150 17400
9300 22700
177 854
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11108 26916
2468 6236
1133 3166
1490 3880
865 2430
2468 6236
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1872 4844
3964 9828
2799 7098
527708 1261916
7212 17724
3002 7504
21004 50708
47728 114556
565204 1351508
100600 240900
118920 284740
2822 7144
612 1924
6324 15548
9508 23116
9268 22636
11636 28172
210708 504116
2176944 5204588
930 2560
4481 11062
50 600
112 724
14434 34968
0 500
248 996
48 596
820 2340
278 1056
643 1986
1413 3726
1408 3716
0 500
2581 6662
287 1074
2040 5180
289 1078
1380 3660
372 1244
0 500
472 1444
360 1220
0 500
622 1944
3504 8708
5924 14548
2784 7068

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100 10000
339 342
1629 1514
697 696
1299 1433
1613 1762
36 40
1737 1635
473 442
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2055 1960
362 378
1104 1177
1880 1970
1349 1434
1545 1691
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341 371
1430 1350
1878 1775
1870 1980
1536 1651
818 814
289 282
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1437 1587
310 302
53 56
720 726
1707 1820
258 269
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1642 1730
1149 1243
1970 1794
749 775
1904 1810
2 3
967 970
1310 1261
1004 997
1295 1192
1056 1036
51 52
1320 1453
1580 1673
480 440
604 624
1766 1813
1198 1326
1762 1637
2046 1902
315 323
714 746
434 471
1461 1366
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906 1002
1483 1560
1355 1403
510 513
2114 1958
1479 1505
1618 1538
1472 1378
310 315
1478 1493
970 1066
43 40
1231 1172
1792 1972
870 956
1484 1541
1049 1014
56 55
814 793
978 985
1215 1311
720 737
210 204
460 492
1798 1961
1944 1952
208 204
1836 1872
882 806
239 234
141 136
49 49
1352 1363
915 883
1318 1259
72 70
937 886
1783 1843
1253 1319
1268 1375
1144 1234
878 818

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106 106925262
45276 45276
90552 90552
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2897664 2897664
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11590656 11590656
23181312 23181312
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2781152 2781152
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22249216 22249216
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1565424 1565424
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100187136 100187136
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37703424 37703424
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2456400 2456400
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19 31181
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321 1142
2945 7390
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1107 3114
1022 2744
1101 3102
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1060 3020
805 2310
689 2078
1513 3926
3878 9656
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1865 4830
667 2034
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16553 40006

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200 100000
90001 90000
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89251 89250
10506 10503
89001 89000
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41
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46
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23552 56804
67 634

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60 100000
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3 9
5 4
6 5
3 2

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4 7
16 2
19 3
23 4
28 5

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51
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#!/usr/bin/python
# -*- coding: utf-8 -*-
from collections import namedtuple
Item = namedtuple("Item", ['index', 'value', 'weight'])
def solve_it(input_data):
# Modify this code to run your optimization algorithm
# parse the input
lines = input_data.split('\n')
firstLine = lines[0].split()
item_count = int(firstLine[0])
capacity = int(firstLine[1])
items = []
for i in range(1, item_count+1):
line = lines[i]
parts = line.split()
items.append(Item(i-1, int(parts[0]), int(parts[1])))
# a trivial greedy algorithm for filling the knapsack
# it takes items in-order until the knapsack is full
value = 0
weight = 0
taken = [0]*len(items)
for item in items:
if weight + item.weight <= capacity:
taken[item.index] = 1
value += item.value
weight += item.weight
# prepare the solution in the specified output format
output_data = str(value) + ' ' + str(0) + '\n'
output_data += ' '.join(map(str, taken))
return output_data
if __name__ == '__main__':
import sys
if len(sys.argv) > 1:
file_location = sys.argv[1].strip()
with open(file_location, 'r') as input_data_file:
input_data = input_data_file.read()
print(solve_it(input_data))
else:
print('This test requires an input file. Please select one from the data directory. (i.e. python solver.py ./data/ks_4_0)')

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#!/usr/bin/python
# -*- coding: utf-8 -*-
import os
from subprocess import Popen, PIPE
def solve_it(input_data):
# Writes the inputData to a temporay file
tmp_file_name = 'tmp.data'
tmp_file = open(tmp_file_name, 'w')
tmp_file.write(input_data)
tmp_file.close()
# Runs the command: java Solver -file=tmp.data
process = Popen(['java', 'Solver', '-file=' + tmp_file_name], stdout=PIPE)
(stdout, stderr) = process.communicate()
# removes the temporay file
os.remove(tmp_file_name)
return stdout.strip()
import sys
if __name__ == '__main__':
if len(sys.argv) > 1:
file_location = sys.argv[1].strip()
with open(file_location, 'r') as input_data_file:
input_data = input_data_file.read()
print solve_it(input_data)
else:
print('This test requires an input file. Please select one from the data directory. (i.e. python solver.py ./data/ks_4_0)')

456
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#!/usr/bin/python
# -*- coding: utf-8 -*-
from __future__ import print_function
import json
import time
import os
from collections import namedtuple
# Python 2/3 compatibility
# Python 2:
try:
from urlparse import urlparse
from urllib import urlencode
from urllib2 import urlopen, Request, HTTPError
except:
pass
# Python 3:
try:
from urllib.parse import urlparse, urlencode
from urllib.request import urlopen, Request
from urllib.error import HTTPError
except:
pass
import sys
# Python 2:
if sys.version_info < (3, 0):
def input(str):
return raw_input(str)
# Python 3, backward compatibility with unicode test
if sys.version_info >= (3, 0):
unicode = type(str)
version = '1.0.0'
submitt_url = \
'https://www.coursera.org/api/onDemandProgrammingScriptSubmissions.v1'
Metadata = namedtuple("Metadata", ['assignment_key', 'name', 'part_data'])
Part = namedtuple("Part", ['id', 'input_file', 'solver_file', 'name'])
def load_metadata(metadata_file_name='_coursera'):
'''
Parses an assignment metadata file
Args:
metadata_file_name (str): location of the metadata file
Returns:
metadata as a named tuple structure
'''
if not os.path.exists(metadata_file_name):
print('metadata file "%s" not found' % metadata_file_name)
quit()
try:
with open(metadata_file_name, 'r') as metadata_file:
url = metadata_file.readline().strip()
name = metadata_file.readline().strip()
part_data = []
for line in metadata_file.readlines():
if ',' in line:
line_parts = line.split(',')
line_parts = [x.strip() for x in line_parts]
assert(len(line_parts) == 4)
part_data.append(Part(*line_parts))
if len(url) <= 0:
print('Empty url in _coursera file: %s' % metadata_file_name)
quit()
if len(name) <= 0:
print('Empty assignment name in _coursera file: %s' % metadata_file_name)
quit()
except Exception as e:
print('problem parsing assignment metadata file')
print('exception message:')
print(e)
quit()
return Metadata(url, name, part_data)
def part_prompt(problems):
'''
Prompts the user for which parts of the assignment they would like to
submit.
Args:
problems: a list of assignment problems
Returns:
the selected subset of problems
'''
count = 1
print('Hello! These are the assignment parts that you can submit:')
for i, problem in enumerate(problems):
print(str(count) + ') ' + problem.name)
count += 1
print('0) All')
part_text = input('Please enter which part(s) you want to submit (0-%d): ' % (count-1))
selected_problems = []
selected_models = []
for item in part_text.split(','):
try:
i = int(item)
except:
print('Skipping input "' + item + '". It is not an integer.')
continue
if i >= count or i < 0:
print('Skipping input "' + item + '". It is out of the valid range (0-%d).' % (count-1))
continue
if i == 0:
selected_problems.extend(problems)
continue
if i <= len(problems):
selected_problems.append(problems[i-1])
if len(selected_problems) <= 0:
print('No valid assignment parts identified. Please try again. \n')
return part_prompt(problems)
else:
return selected_problems
def compute(metadata, solver_file_override=None):
'''
Determines which assignment parts the student would like to submit.
Then computes his/her answers to those assignment parts
Args:
metadata: the assignment metadata
solver_file_override: an optional model file to override the metadata
default
Returns:
a dictionary of results in the format Coursera expects
'''
if solver_file_override is not None:
print('Overriding solver file with: '+solver_file_override)
selected_problems = part_prompt(metadata.part_data)
results = {}
#submission needs empty dict for every assignment part
results.update({prob_data.id : {} for prob_data in metadata.part_data})
for problem in selected_problems:
if solver_file_override != None:
solver_file = solver_file_override
else:
solver_file = problem.solver_file
if not os.path.isfile(solver_file):
print('Unable to locate assignment file "%s" in the current working directory.' % solver_file)
continue
# if a relative path is given, add that patth to system path so import will work
if os.path.sep in solver_file:
split = solver_file.rfind(os.path.sep)
path = solver_file[0:split]
file_name = solver_file[split+1:]
sys.path.insert(0, path)
solver_file = file_name
submission = output(problem.input_file, solver_file)
if submission != None:
results[problem.id] = {'output':submission}
print('\n== Computations Complete ...')
return results
def load_input_data(file_location):
with open(file_location, 'r') as input_data_file:
input_data = ''.join(input_data_file.readlines())
return input_data
def output(input_file, solver_file):
'''
Attempts to execute solve_it locally on a given input file.
Args:
input_file: the assignment problem data of interest
solver_file: a python file containing the solve_it function
Returns:
the submission string in a format that the grader expects
'''
try:
pkg = __import__(solver_file[:-3]) # remove '.py' extension
if not hasattr(pkg, 'solve_it'):
print('the solve_it() function was not found in %s' % solver_file)
quit()
except ImportError:
print('import error with python file "%s".' % solver_file)
quit()
solution = ''
start = time.clock()
try:
solution = pkg.solve_it(load_input_data(input_file))
except Exception as e:
print('the solve_it(input_data) method from solver.py raised an exception')
print('try testing it with python ./solver.py before running this submission script')
print('exception message:')
print(str(e))
print('')
return 'Local Exception =('
end = time.clock()
if not (isinstance(solution, str) or isinstance(solution, unicode)):
print('Warning: the solver did not return a string. The given object will be converted with the str() method.')
solution = str(solution)
print('Submitting: ')
print(solution)
return solution.strip() + '\n' + str(end - start)
def login_dialog(assignment_key, results, credentials_file_location = '_credentials'):
'''
Requests Coursera login credentials from the student and submits the
student's solutions for grading
Args:
assignment_key: Coursera's assignment key
results: a dictionary of results in Cousera's format
credentials_file_location: a file location where login credentials can
be found
'''
success = False
tries = 0
while not success:
# stops infinate loop when credentials file is incorrect
if tries <= 0:
login, token = login_prompt(credentials_file_location)
else:
login, token = login_prompt('')
code, responce = submit_solution(assignment_key, login, token, results)
print('\n== Coursera Responce ...')
#print(code)
print(responce)
if code != 401:
success = True
else:
print('\ntry logging in again')
tries += 1
def login_prompt(credentials_file_location):
'''
Attempts to load credentials from a file, if that fails asks the user.
Returns:
the user's login and token
'''
if os.path.isfile(credentials_file_location):
try:
with open(credentials_file_location, 'r') as metadata_file:
login = metadata_file.readline().strip()
token = metadata_file.readline().strip()
metadata_file.close()
except:
login, token = basic_prompt()
else:
login, token = basic_prompt()
return login, token
def basic_prompt():
'''
Prompt the user for login credentials.
Returns:
the user's login and token
'''
login = input('User Name (e-mail address): ')
token = input('Submission Token (from the assignment page): ')
return login, token
def submit_solution(assignment_key, email_address, token, results):
'''
Sends the student's submission to Coursera for grading via the submission
API.
Args:
assignment_key: Coursera's assignment key
email_address: the student's email
token: the student's assignment token
results: a dictionary of results in Cousera's format
Returns:
the https response code and a feedback message
'''
print('\n== Connecting to Coursera ...')
print('Submitting %d of %d parts' %
(sum(['output' in v for k,v in results.items()]), len(results)))
# build json datastructure
parts = {}
submission = {
'assignmentKey': assignment_key,
'submitterEmail': email_address,
'secret': token,
'parts': results
}
# send submission
req = Request(submitt_url)
req.add_header('Cache-Control', 'no-cache')
req.add_header('Content-type', 'application/json')
try:
res = urlopen(req, json.dumps(submission).encode('utf8'))
except HTTPError as e:
responce = json.loads(e.read().decode('utf8'))
if 'details' in responce and responce['details'] != None and \
'learnerMessage' in responce['details']:
return e.code, responce['details']['learnerMessage']
else:
return e.code, 'Unexpected response code, please contact the ' \
'course staff.\nDetails: ' + responce['message']
code = res.code
responce = json.loads(res.read().decode('utf8'))
if code >= 200 and code <= 299:
return code, 'Your submission has been accepted and will be ' \
'graded shortly.'
return code, 'Unexpected response code, please contact the '\
'course staff.\nDetails: ' + responce
def main(args):
'''
1) Reads a metadata file to customize the submission process to
a particular assignment.
2) The compute the student's answers to the assignment parts.
3) Submits the student's answers for grading.
Provides the an option for saving the submissions locally. This is very
helpful when testing the assignment graders.
Args:
args: CLI arguments from an argparse parser
'''
# needed so that output can import from the cwd
sys.path.append(os.getcwd())
if args.metadata is None:
metadata = load_metadata()
else:
print('Overriding metadata file with: '+args.metadata)
metadata = load_metadata(args.metadata)
print('==\n== '+metadata.name+' Solution Submission \n==')
# compute dialog
results = compute(metadata, args.override)
if sum(['output' in v for k,v in results.items()]) <= 0:
return
# store submissions if requested
if args.record_submission == True:
print('Recording submission as files')
for sid, submission in results.items():
if 'output' in submission:
directory = '_'+sid
if not os.path.exists(directory):
os.makedirs(directory)
submission_file_name = directory+'/submission.sub'
print(' writting submission file: '+submission_file_name)
with open(submission_file_name,'w') as submission_file:
submission_file.write(submission['output'])
submission_file.close()
return
# submit dialog
if args.credentials is None:
login_dialog(metadata.assignment_key, results)
else:
print('Overriding credentials file with: '+args.credentials)
login_dialog(metadata.assignment_key, results, args.credentials)
import argparse
def build_parser():
'''
Builds an argument parser for the CLI
Returns:
parser: an argparse parser
'''
parser = argparse.ArgumentParser(
description='''The submission script for Discrete Optimization
assignments on the Coursera Platform.''',
epilog='''Please file bugs on github at:
https://github.com/discreteoptimization/assignment/issues. If you
would like to contribute to this tool's development, check it out at:
https://github.com/discreteoptimization/assignment'''
)
parser.add_argument('-v', '--version', action='version',
version='%(prog)s '+version)
parser.add_argument('-o', '--override',
help='overrides the python source file specified in the \'_coursera\' file')
parser.add_argument('-m', '--metadata',
help='overrides the \'_coursera\' metadata file')
parser.add_argument('-c', '--credentials',
help='overrides the \'_credentials\' credentials file')
parser.add_argument('-rs', '--record_submission',
help='records the submission(s) as files', action='store_true')
return parser
if __name__ == '__main__':
parser = build_parser()
main(parser.parse_args())