Cody

# Problem 183. Pull the variable y_correct from the Caller's Workspace

Solution 306251

Submitted on 18 Aug 2013 by J.R.! Menzinger
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### Test Suite

Test Status Code Input and Output
1   Pass
%% y_correct = 1; assert(isequal(your_fcn_name,y_correct))

x = 1 ans = []

2   Pass
%% y_correct = 1:100; assert(isequal(your_fcn_name,y_correct))

x = Columns 1 through 16 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 Columns 17 through 32 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 Columns 33 through 48 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 Columns 49 through 64 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 Columns 65 through 80 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 Columns 81 through 96 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 Columns 97 through 100 97 98 99 100 ans = []

3   Pass
%% y_correct = rand(100); assert(isequal(your_fcn_name,y_correct))

x = Columns 1 through 10 0.9289 0.2691 0.3445 0.0445 0.3624 0.4417 0.9644 0.6816 0.8044 0.4857 0.7303 0.4228 0.7805 0.7549 0.0495 0.0133 0.4325 0.4633 0.9861 0.8944 0.4886 0.5479 0.6753 0.2428 0.4896 0.8972 0.6948 0.2122 0.0300 0.1375 0.5785 0.9427 0.0067 0.4424 0.1925 0.1967 0.7581 0.0985 0.5357 0.3900 0.2373 0.4177 0.6022 0.6878 0.1231 0.0934 0.4326 0.8236 0.0871 0.9274 0.4588 0.9831 0.3868 0.3592 0.2055 0.3074 0.6555 0.1750 0.8021 0.9175 0.9631 0.3015 0.9160 0.7363 0.1465 0.4561 0.1098 0.1636 0.9891 0.7136 0.5468 0.7011 0.0012 0.3947 0.1891 0.1017 0.9338 0.6660 0.0669 0.6183 0.5211 0.6663 0.4624 0.6834 0.0427 0.9954 0.1875 0.8944 0.9394 0.3433 0.2316 0.5391 0.4243 0.7040 0.6352 0.3321 0.2662 0.5166 0.0182 0.9360 0.4889 0.6981 0.4609 0.4423 0.2819 0.2973 0.7978 0.7027 0.6838 0.1248 0.6241 0.6665 0.7702 0.0196 0.5386 0.0620 0.4876 0.1536 0.7837 0.7306 0.6791 0.1781 0.3225 0.3309 0.6952 0.2982 0.7690 0.9535 0.5341 0.6465 0.3955 0.1280 0.7847 0.4243 0.4991 0.0464 0.3960 0.5409 0.8854 0.8332 0.3674 0.9991 0.4714 0.2703 0.5358 0.5054 0.2729 0.6797 0.8990 0.3983 0.9880 0.1711 0.0358 0.1971 0.4452 0.7614 0.0372 0.0366 0.6259 0.7498 0.0377 0.0326 0.1759 0.8217 0.1239 0.6311 0.6733 0.8092 0.1379 0.8352 0.8852 0.5612 0.7218 0.4299 0.4904 0.0899 0.4296 0.7486 0.2178 0.3225 0.9133 0.8819 0.4735 0.8878 0.8530 0.0809 0.4517 0.1202 0.1821 0.5523 0.7962 0.6692 0.1527 0.3912 0.8739 0.7772 0.6099 0.5250 0.0418 0.9791 0.0987 0.1904 0.3411 0.7691 0.2703 0.9051 0.0594 0.3258 0.1069 0.5493 0.2619 0.3689 0.6074 0.3968 0.2085 0.5338 0.3158 0.5464 0.6164 0.3304 0.3354 0.4607 0.1917 0.8085 0.5650 0.1092 0.7727 0.3989 0.9397 0.6195 0.6797 0.9816 0.7384 0.7551 0.6403 0.8258 0.6964 0.4151 0.3545 0.3606 0.1366 0.1564 0.2428 0.3774 0.4170 0.3381 0.1253 0.1807 0.4106 0.7565 0.7212 0.8555 0.9174 0.2160 0.2060 0.2940 0.1302 0.2554 0.9843 0.4139 0.1068 0.6448 0.2691 0.7904 0.9479 0.7463 0.0924 0.0205 0.9456 0.4923 0.6538 0.3763 0.7655 0.9493 0.0821 0.0103 0.0078 0.9237 0.6766 0.6947 0.4942 0.1909 0.1887 0.3276 0.1057 0.0484 0.4231 0.6537 0.9883 0.9727 0.7791 0.4283 0.2875 0.6713 0.1420 0.6679 0.6556 0.9326 0.7668 0.3278 0.7150 0.4820 0.0911 0.4386 0.1665 0.6035 0.7229 0.1635 0.3367 0.8378 0.9037 0.1206 0.5762 0.8335 0.6210 0.5261 0.5312 0.9211 0.6624 0.7391 0.8909 0.5895 0.6834 0.7689 0.5737 0.7297 0.1088 0.7947 0.2442 0.9542 0.3342 0.2262 0.5466 0.1673 0.0521 0.7073 0.6318 0.5774 0.2955 0.0319 0.6987 0.3846 0.4257 0.8620 0.9312 0.7814 0.1265 0.4400 0.6802 0.3569 0.1978 0.5830 0.6444 0.9899 0.7287 0.2880 0.1343 0.2576 0.5278 0.6627 0.0305 0.2518 0.6476 0.5144 0.7378 0.6925 0.0986 0.7519 0.4116 0.2815 0.7441 0.2904 0.6790 0.8843 0.0634 0.5567 0.1420 0.2287 0.6026 0.2304 0.5000 0.6171 0.6358 0.5880 0.8604 0.3965 0.1683 0.0642 0.7505 0.7111 0.4799 0.2653 0.9452 0.1548 0.9344 0.0616 0.1962 0.7673 0.5835 0.6246 0.9047 0.8244 0.2089 0.1999 0.9844 0.7802 0.3175 0.6712 0.5518 0.5906 0.6099 0.9827 0.7093 0.4070 0.8589 0.3376 0.3164 0.7152 0.5836 0.6604 0.6177 0.7302 0.2362 0.7487 0.7856 0.6079 0.2176 0.6421 0.5118 0.0476 0.8594 0.3439 0.1194 0.8256 0.5134 0.7413 0.2510 0.4190 0.0826 0.3488 0.8055 0.5841 0.6073 0.7900 0.1776 0.1048 0.8929 0.3908 0.7196 0.4513 0.5767 0.1078 0.4501 0.3185 0.3986 0.1279 0.7032 0.8161 0.9962 0.2409 0.1829 0.9063 0.4587 0.5341 0.1339 0.5495 0.5557 0.3174 0.3545 0.7150 0.2399 0.8797 0.6619 0.0900 0.0309 0.4852 0.1844 0.8145 0.9713 0.8562 0.8865 0.8178 0.7703 0.1117 0.9391 0.8905 0.2120 0.7891 0.3464 0.2815 0.0287 0.2607 0.3502 0.1363 0.3013 0.7990 0.0773 0.8523 0.8865 0.7311 0.4899 0.5944 0.6620 0.6787 0.2955 0.7343 0.9138 0.5056 0.4547 0.1378 0.1679 0.0225 0.4162 0.4952 0.3329 0.0513 0.7067 0.6357 0.4134 0.8367 0.9787 0.4253 0.8419 0.1897 0.4671 0.0729 0.5578 0.9509 0.2177 0.1386 0.7127 0.3127 0.8329 0.4950 0.6482 0.0885 0.3134 0.4440 0.1257 0.5882 0.5005 0.1615 0.2564 0.1476 0.0252 0.7984 0.1662 0.0600 0.3089 0.3662 0.4711 0.1788 0.6135 0.0550 0.8422 0.9430 0.6225 0.8667 0.7261 0.8068 0.0596 0.4229 0.5822 0.8507 0.5590 0.6837 0.9879 0.6312 0.7829 0.5038 0.6820 0.0942 0.5407 0.5606 0.8541 0.1321 0.1704 0.3551 0.6938 0.4896 0.0424 0.5985 0.8699 0.9296 0.3479 0.7227 0.2578 0.9970 0.0098 0.8770 0.0714 0.4709 0.2648 0.6967 0.4460 0.1104 0.3968 0.2242 0.8432 0.3531 0.5216 0.6959 0.3181 0.5828 0.0542 0.1175 0.0740 0.6525 0.9223 0.4494 0.0967 0.6999 0.1192 0.8154 0.1771 0.6407 0.6841 0.6050 0.7710 0.9635 0.8181 0.6385 0.9398 0.8790 0.6628 0.3288 0.4024 0.3872 0.0427 0.0423 0.8175 0.0336 0.6456 0.9889 0.3308 0.6538 0.9828 0.1422 0.3782 0.9730 0.7224 0.0688 0.4795 0.0005 0.8985 0.7491 0.4022 0.0251 0.7043 0.1892 0.1499 0.3196 0.6393 0.8654 0.1182 0.5832 0.6207 0.4211 0.7295 0.6671 0.6596 0.5309 0.5447 0.6126 0.9884 0.7400 0.1544 0.1841 0.2243 0.5864 0.5186 0.6544 0.6473 0.9900 0.5400 0.2348 0.3813 0.7258 0.2691 0.6751 0.9730 0.4076 0.5439 0.5277 0.7069 0.7350 0.1611 0.3704 0.6730 0.3610 0.6490 0.8200 0.7210 0.4795 0.9995 0.9706 0.7581 0.8416 0.4775 0.6203 0.8003 0.7184 0.5225 0.8013 0.2878 0.8669 0.8711 0.7342 0.6237 0.8112 0.4538 0.9686 0.9937 0.2278 0.4145 0.0862 0.3508 0.5710 0.2364 0.0193 0.4324 0.5313 0.2187 0.4981 0.4648 0.3664 0.6855 0.1769 0.1771 0.0839 0.8253 0.3251 0.1058 0.9009 0.7640 0.3692 0.2941 0.9574 0.8296 0.9748 0.0835 0.1056 0.1097 0.5747 0.8182 0.6850 0.5306 0.2653 0.7669 0.6513 0.1332 0.6110 0.0636 0.8452 0.1002 0.5979 0.8324 0.9246 0.9345 0.2312 0.1734 0.7788 0.4046 0.7386 0.1781 0.7894 0.5975 0.2238 0.1079 0.4035 0.3909 0.4235 0.4484 0.5860 0.3596 0.3677 0.3353 0.3736 0.1822 0.1220 0.8314 0.0908 0.3658 0.2467 0.0567 0.2060 0.2992 0.0875 0.0991 0.2684 0.8034 0.2665 0.7635 0.6664 0.5219 0.0867 0.4526 0.6401 0.4898 0.2578 0.0605 0.1537 0.6279 0.0835 0.3358 0.7719 0.4226 0.1806 0.1932 0.3317 0.3993 0.2810 0.7720 0.6260 0.1757 0.2057 0.3596 0.0451 0.8959 0.1522 0.5269 0.4401 0.9329 0.6609 0.2089 0.3883 0.5583 0.7232 0.0991 0.3480 0.4168 0.5271 0.9727 0.7298 0.9052 0.5518 0.7425 0.3474 0.0442 0.1217 0.6569 0.4574 0.1920 0.8908 0.6754 0.2290 0.4243 0.6606 0.5573 0.8842 0.6280 0.8754 0.1389 0.9823 0.4685 0.6419 0.4294 0.3839 0.7725 0.0943 0.2920 0.5181 0.6963 0.7690 0.9121 0.4845 0.1249 0.6273 0.3119 0.9300 0.4317 0.9436 0.0938 0.5814 0.1040 0.1518 0.0244 0.0216 0.1790 0.3990 0.0155 0.6377 0.5254 0.9283 0.7455 0.7819 0.2902 0.9106 0.3390 0.0474 0.9841 0.9577 0.5303 0.5801 0.7363 0.1006 0.3175 0.8006 0.2101 0.3424 0.1672 0.2407 0.8611 0.0170 0.5619 0.2941 0.6537 0.7458 0.5102 0.7360 0.1062 0.6761 0.4849 0.1209 0.1842 0.2374 0.9569 0.8131 0.9064 0.7947 0.3724 0.2891 0.3935 0.8627 0.5972 0.5309 0.9357 0.3833 0.6289 0.5449 0.1981 0.6718 0.6714 0.4843 0.2999 0.0915 0.4579 0.6173 0.1015 0.6862 0.4897 0.6951 0.7413 0.8449 0.1341 0.4053 0.2405 0.5755 0.3909 0.8936 0.3395 0.0680 0.5201 0.2094 0.2126 0.1048 0.7639 0.5301 0.0546 0.0548 0.9516 0.2548 0.3477 0.5523 0.8949 0.1123 0.7593 0.2751 0.5013 0.3037 0.9203 0.2240 0.1500 0.6299 0.0715 0.7844 0.7406 0.2486 0.4317 0.0462 0.0527 0.6678 0.5861 0.0320 0.2425 0.2916 0.7437 ...

4   Pass
%% y_correct = randi(100); assert(isequal(your_fcn_name,y_correct))

x = 40 ans = []

5   Pass
%% y_correct = 'lol'; assert(isequal(your_fcn_name,y_correct))

x = lol ans = []