Pass facility assignment. Add vrp assignment.

facility/facility.py

@@ -261,7 +261,7 @@ class Solution(object):
         self.cost += delta
 
         if not_connected:
-            logging.info("Not all customers connected. Restore.")
+            logging.debug("Not all customers connected. Restore.")
         elif self.cost < original_cost:
             delta = original_cost - self.cost
             logging.info(f"Close {facility} resulted in improvement {delta}.")
@@ -276,7 +276,29 @@ class Solution(object):
         assert(abs(original_cost - self.cost) < EPSILON)
 
     def open_facility(self, facility):
-        pass
+        raise Exception("Has bugs!")
+        logging.debug(f"Open {facility}.")
+        original_cost = self.cost
+
+        self.cost += facility.set_open()
+        delta, not_connected = self.reconnect_greedy(self.cs)
+        self.cost += delta
+
+        if not_connected:
+            logging.debug("Not all customers connected. Restore.")
+        elif self.cost < original_cost:
+            delta = original_cost - self.cost
+            logging.info(f"Open {facility} resulted in improvement {delta}.")
+            return
+        else:
+            logging.debug(f"No improvement. Restore.")
+
+        self.cost += facility.remove_all_and_close()
+        delta, not_connected = self.reconnect_greedy(self.cs)
+        self.cost += delta
+
+        assert(not not_connected)
+        assert(abs(original_cost - self.cost) < EPSILON)
 
     def local_search(self):
         fs = [f for f in self.fs if f.is_open]
@@ -285,9 +307,10 @@ class Solution(object):
         for f in fs:
             self.close_facility(f)
 
-        #fs = [f for f in self.fs if not f.is_open]
+        # fs = [f for f in self.fs if not f.is_open]
-        #fs.sort(key=lambda f: f.setup_cost)
+        # fs.sort(key=lambda f: f.setup_cost)
-        #for
+        # for f in fs:
+        #     self.open_facility(f)
 
 
 def solve_it(input_data):
@@ -304,7 +327,7 @@ def solve_it(input_data):
 
 
 def main():
-    file_location = "data/fl_100_7"
+    file_location = "data/fl_100_1"
     with open(file_location, 'r') as input_data_file:
         input_data = input_data_file.read()
     print(solve_it(input_data))

vrp/_coursera

@@ -0,0 +1,8 @@
+kHSr0lxGEeaSAQoIpI0kiQ
+Vehicle Routing
+Q7wCC, ./data/vrp_16_3_1, solver.py, Vehicle Routing Problem 1
+5c314, ./data/vrp_26_8_1, solver.py, Vehicle Routing Problem 2
+nUAU4, ./data/vrp_51_5_1, solver.py, Vehicle Routing Problem 3
+QQs4z, ./data/vrp_101_10_1, solver.py, Vehicle Routing Problem 4
+EV1zA, ./data/vrp_200_16_1, solver.py, Vehicle Routing Problem 5
+5U5So, ./data/vrp_421_41_1, solver.py, Vehicle Routing Problem 6

vrp/data/vrp_101_10_1

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vrp/data/vrp_101_11_1

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vrp/data/vrp_101_11_2

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vrp/data/vrp_101_11_3

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vrp/data/vrp_101_11_4

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vrp/data/vrp_101_14_1

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vrp/data/vrp_101_14_2

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vrp/data/vrp_76_7_1

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vrp/data/vrp_76_7_2

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vrp/data/vrp_76_8_1

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vrp/data/vrp_76_8_2

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vrp/data/vrp_76_9_2

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vrp/solver.py

@@ -0,0 +1,88 @@
+#!/usr/bin/python
+# -*- coding: utf-8 -*-
+
+import math
+from collections import namedtuple
+
+Customer = namedtuple("Customer", ['index', 'demand', 'x', 'y'])
+
+def length(customer1, customer2):
+    return math.sqrt((customer1.x - customer2.x)**2 + (customer1.y - customer2.y)**2)
+
+def solve_it(input_data):
+    # Modify this code to run your optimization algorithm
+
+    # parse the input
+    lines = input_data.split('\n')
+
+    parts = lines[0].split()
+    customer_count = int(parts[0])
+    vehicle_count = int(parts[1])
+    vehicle_capacity = int(parts[2])
+    
+    customers = []
+    for i in range(1, customer_count+1):
+        line = lines[i]
+        parts = line.split()
+        customers.append(Customer(i-1, int(parts[0]), float(parts[1]), float(parts[2])))
+
+    #the depot is always the first customer in the input
+    depot = customers[0] 
+
+
+    # build a trivial solution
+    # assign customers to vehicles starting by the largest customer demands
+    vehicle_tours = []
+    
+    remaining_customers = set(customers)
+    remaining_customers.remove(depot)
+    
+    for v in range(0, vehicle_count):
+        # print "Start Vehicle: ",v
+        vehicle_tours.append([])
+        capacity_remaining = vehicle_capacity
+        while sum([capacity_remaining >= customer.demand for customer in remaining_customers]) > 0:
+            used = set()
+            order = sorted(remaining_customers, key=lambda customer: -customer.demand)
+            for customer in order:
+                if capacity_remaining >= customer.demand:
+                    capacity_remaining -= customer.demand
+                    vehicle_tours[v].append(customer)
+                    # print '   add', ci, capacity_remaining
+                    used.add(customer)
+            remaining_customers -= used
+
+    # checks that the number of customers served is correct
+    assert sum([len(v) for v in vehicle_tours]) == len(customers) - 1
+
+    # calculate the cost of the solution; for each vehicle the length of the route
+    obj = 0
+    for v in range(0, vehicle_count):
+        vehicle_tour = vehicle_tours[v]
+        if len(vehicle_tour) > 0:
+            obj += length(depot,vehicle_tour[0])
+            for i in range(0, len(vehicle_tour)-1):
+                obj += length(vehicle_tour[i],vehicle_tour[i+1])
+            obj += length(vehicle_tour[-1],depot)
+
+    # prepare the solution in the specified output format
+    outputData = '%.2f' % obj + ' ' + str(0) + '\n'
+    for v in range(0, vehicle_count):
+        outputData += str(depot.index) + ' ' + ' '.join([str(customer.index) for customer in vehicle_tours[v]]) + ' ' + str(depot.index) + '\n'
+
+    return outputData
+
+
+import sys
+
+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/vrp_5_4_1)')
+

vrp/submit.py

@@ -0,0 +1,456 @@
+#!/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())
+