jack
/
cocorobolx


			
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    $(document).ready(function() {

        blockpy = new BlockPy({

            'blocklyPath': "blockly/",

            'attachmentPoint': document.getElementById('blockpy-div'),

            'instructor': !getQueryParams()["instructor"] || getQueryParams()["instructor"]=="true",

            'developer': true,

            'editor': getQueryParams()["mode"] || 'Split',

            'urls': {

                // 'import_datasets': 'https://think.cs.vt.edu/blockpy/load_corgis/',

                //'walk_old_code': 'http://localhost:8000/walk_code/',

                //'log_event': 'http://localhost:8000/save_events/'

                /*'save_code': 'http://localhost:8000/save_code/',

                'save_success': 'http://localhost:8000/submit_grade/',

                'log_event': 'http://localhost:8000/save_events/'*/

            }

        });

        blockpy.setAssignment(

            // settings

            {

                'editor': getQueryParams()["mode"] || 'Split',

                'read_only': getQueryParams()["upload"]=="true",

                'disable_semantic_errors': false,

                'disable_timeout': true,

            },

            // assignment

            {

                'introduction': "Use the canvas below to calculate the sum of a list of 4 numbers.",

                'name': "#1.3",

                //'give_feedback': 'from instructor_functions import *\nsuppress("analyzer", "Incompatible types")\nmatch_signature("curve_grade", 1, "old")\nunit_test("curve_grade", (64, True), (0, 0), (100, 100))',

                //'give_feedback': 'from instructor_functions import *\n5+""\nsuppress("analyzer", "Incompatible types")\nmatch_signature("rate_animal", 1, "old")\nunit_test("rate_animal", (64, True))',

                //'give_feedback': "log(parse_program().find_all('FunctionDef')[0].args.args[0].arg)",

                'give_feedback': 'set_success()',

                //'give_feedback': 'from instructor_utility import *\nfrom instructor_printing import *\n\nsuppress("analyzer")\nsuppress("instructor")\nhide_correctness()\n\nast = parse_program()\n\nall_checked = True\nanswers = [("1*2*3", "6"), ("3*4","12"), ("0","0"), ("5*-5", "-25")]\nfor an_input, result in answers:\n    reset_output()\n    queue_input(an_input)\n    run_student()\n    if not get_output():\n        all_checked = False\n    elif result not in get_output():\n        if str(float(result)) in get_output():\n            give_partial(.1/len(answers), "Checking Float "+an_input)\n        all_checked = False\n    else:\n        give_partial(.2/len(answers), "Checking "+an_input)',

                //'give_feedback': "from instructor_utility import *\nensure_operation('in')",

                //'give_feedback': 'for x in range(2):\n    reset_output()\n    queue_input("Test", "")\n    e = run_student()\n    if e:\n        gently(str(e))\n    log(get_output())\nif not e:\n    set_success()',

                //'give_feedback': "from instructor_files import *\nfiles_not_handled_correctly('example.txt')",

                //'give_feedback': "from instructor_imports import *\nensure_imports('math', 'random')",

                //'give_feedback': "from instructor_plotting import * \nprevent_incorrect_plt() \nensure_correct_plot('plot') \nensure_show() \ncheck_for_plot('line', [[1,2,3],[4,5,6]])",

                //'give_feedback': 'ast = parse_program()\nassignments = ast.find_all("Assign")\nfor assignment in assignments:\n    if assignment.targets.id == "parking_allowed":\n        log(assignment.targets.data_type)',

                'on_change': '',

                //'on_change': 'gently("Test")',

                'parsons': false,

                'starting_code': '',

                'importable': true,

                'initial_view': getQueryParams()["mode"] || 'Split',

                'upload': getQueryParams()["upload"]=="true",

                'modules': {

                    'added': ['Classes', 'Tuples', 'Data - Weather'],

                    'removed': []

                }

            },

            // programs

            {

                //'__main__': 'ss = ["Testing", "Here"]\nfor a in ss:\n    print(a)\nfor b in a:\n    print(b)',

                //'__main__': 'print("Hello world"[1:5])',

                '__main__': '',

                //'__main__': 'num = input("")\nnum_list = [int(n) for n in num.split("*")]\nfor n in num_list:\n    n*n\n    return 4\nprint(n)',

                //'__main__': 'def rate_animal(an_animal):\n    if an_animal != "dog":\n        1 + ""\nrate_animal("dog")',

                //'__main__': 'round(float("9.5", ___))',

                //'__main__': getQueryParams()["code"] || "import matplotlib.pyplot as plt\nplt.plot([1, 2, 3],[4, 5, 6])\nplt.show()",

                //'__main__': 'i=0\nwhile i!="0":\n    i=input("")\n    print(i)',

                //'__main__': "import requests\nprint(requests.get('https://pastebin.com/raw/V7tWn1Rj').text)"

                //'__main__': "print(open('example.txt').read())"

                //'__main__': "import math\nmath\nfrom random import choice\nchoice"

                //'__main__': "from random import randint\nprint(5+randint(1,10))"

                //'__main__': 'print(input("Prompt:"))',

                //'__main__': 'import parking\nparking_allowed = parking.now()\nif parking.now() > parking.Time(8,30,"AM") and parking.now() < parking.Time(5,30,"PM"):\n    parking_allowed = False\nelse:\n    parking_allowed = True \nprint(parking_allowed)'

                //'__main__': 'print("Banana"[:int(len("Banana")/2)])',

                //'__main__': 'def curve_grade(old):\n    return (old ** .5) * 10\n\nprint(90, "becomes", curve_grade(90))\nprint(50, "becomes", curve_grade(50))\nprint(20, "becomes", curve_grade(20))'

                //'__main__': 'print(1 != 2 and 2 != 1)'

            }

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