chao
/
mini_cocopi


			
				
					
						
						
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    <style>

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    <script>
    $(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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