Cody

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

Solution 26059

Submitted on 3 Feb 2012 by @bmtran (Bryant Tran)
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### Test Suite

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

y = 1

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

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

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

y = Columns 1 through 6 0.8147 0.1622 0.6443 0.0596 0.4229 0.5822 0.9058 0.7943 0.3786 0.6820 0.0942 0.5407 0.1270 0.3112 0.8116 0.0424 0.5985 0.8699 0.9134 0.5285 0.5328 0.0714 0.4709 0.2648 0.6324 0.1656 0.3507 0.5216 0.6959 0.3181 0.0975 0.6020 0.9390 0.0967 0.6999 0.1192 0.2785 0.2630 0.8759 0.8181 0.6385 0.9398 0.5469 0.6541 0.5502 0.8175 0.0336 0.6456 0.9575 0.6892 0.6225 0.7224 0.0688 0.4795 0.9649 0.7482 0.5870 0.1499 0.3196 0.6393 0.1576 0.4505 0.2077 0.6596 0.5309 0.5447 0.9706 0.0838 0.3012 0.5186 0.6544 0.6473 0.9572 0.2290 0.4709 0.9730 0.4076 0.5439 0.4854 0.9133 0.2305 0.6490 0.8200 0.7210 0.8003 0.1524 0.8443 0.8003 0.7184 0.5225 0.1419 0.8258 0.1948 0.4538 0.9686 0.9937 0.4218 0.5383 0.2259 0.4324 0.5313 0.2187 0.9157 0.9961 0.1707 0.8253 0.3251 0.1058 0.7922 0.0782 0.2277 0.0835 0.1056 0.1097 0.9595 0.4427 0.4357 0.1332 0.6110 0.0636 0.6557 0.1067 0.3111 0.1734 0.7788 0.4046 0.0357 0.9619 0.9234 0.3909 0.4235 0.4484 0.8491 0.0046 0.4302 0.8314 0.0908 0.3658 0.9340 0.7749 0.1848 0.8034 0.2665 0.7635 0.6787 0.8173 0.9049 0.0605 0.1537 0.6279 0.7577 0.8687 0.9797 0.3993 0.2810 0.7720 0.7431 0.0844 0.4389 0.5269 0.4401 0.9329 0.3922 0.3998 0.1111 0.4168 0.5271 0.9727 0.6555 0.2599 0.2581 0.6569 0.4574 0.1920 0.1712 0.8001 0.4087 0.6280 0.8754 0.1389 0.7060 0.4314 0.5949 0.2920 0.5181 0.6963 0.0318 0.9106 0.2622 0.4317 0.9436 0.0938 0.2769 0.1818 0.6028 0.0155 0.6377 0.5254 0.0462 0.2638 0.7112 0.9841 0.9577 0.5303 0.0971 0.1455 0.2217 0.1672 0.2407 0.8611 0.8235 0.1361 0.1174 0.1062 0.6761 0.4849 0.6948 0.8693 0.2967 0.3724 0.2891 0.3935 0.3171 0.5797 0.3188 0.1981 0.6718 0.6714 0.9502 0.5499 0.4242 0.4897 0.6951 0.7413 0.0344 0.1450 0.5079 0.3395 0.0680 0.5201 0.4387 0.8530 0.0855 0.9516 0.2548 0.3477 0.3816 0.6221 0.2625 0.9203 0.2240 0.1500 0.7655 0.3510 0.8010 0.0527 0.6678 0.5861 0.7952 0.5132 0.0292 0.7379 0.8444 0.2621 0.1869 0.4018 0.9289 0.2691 0.3445 0.0445 0.4898 0.0760 0.7303 0.4228 0.7805 0.7549 0.4456 0.2399 0.4886 0.5479 0.6753 0.2428 0.6463 0.1233 0.5785 0.9427 0.0067 0.4424 0.7094 0.1839 0.2373 0.4177 0.6022 0.6878 0.7547 0.2400 0.4588 0.9831 0.3868 0.3592 0.2760 0.4173 0.9631 0.3015 0.9160 0.7363 0.6797 0.0497 0.5468 0.7011 0.0012 0.3947 0.6551 0.9027 0.5211 0.6663 0.4624 0.6834 0.1626 0.9448 0.2316 0.5391 0.4243 0.7040 0.1190 0.4909 0.4889 0.6981 0.4609 0.4423 0.4984 0.4893 0.6241 0.6665 0.7702 0.0196 0.9597 0.3377 0.6791 0.1781 0.3225 0.3309 0.3404 0.9001 0.3955 0.1280 0.7847 0.4243 0.5853 0.3692 0.3674 0.9991 0.4714 0.2703 0.2238 0.1112 0.9880 0.1711 0.0358 0.1971 0.7513 0.7803 0.0377 0.0326 0.1759 0.8217 0.2551 0.3897 0.8852 0.5612 0.7218 0.4299 0.5060 0.2417 0.9133 0.8819 0.4735 0.8878 0.6991 0.4039 0.7962 0.6692 0.1527 0.3912 0.8909 0.0965 0.0987 0.1904 0.3411 0.7691 0.9593 0.1320 0.2619 0.3689 0.6074 0.3968 0.5472 0.9421 0.3354 0.4607 0.1917 0.8085 0.1386 0.9561 0.6797 0.9816 0.7384 0.7551 0.1493 0.5752 0.1366 0.1564 0.2428 0.3774 0.2575 0.0598 0.7212 0.8555 0.9174 0.2160 0.8407 0.2348 0.1068 0.6448 0.2691 0.7904 0.2543 0.3532 0.6538 0.3763 0.7655 0.9493 0.8143 0.8212 0.4942 0.1909 0.1887 0.3276 0.2435 0.0154 0.7791 0.4283 0.2875 0.6713 0.9293 0.0430 0.7150 0.4820 0.0911 0.4386 0.3500 0.1690 0.9037 0.1206 0.5762 0.8335 0.1966 0.6491 0.8909 0.5895 0.6834 0.7689 0.2511 0.7317 0.3342 0.2262 0.5466 0.1673 0.6160 0.6477 0.6987 0.3846 0.4257 0.8620 0.4733 0.4509 0.1978 0.5830 0.6444 0.9899 0.3517 0.5470 0.0305 0.2518 0.6476 0.5144 0.8308 0.2963 0.7441 0.2904 0.6790 0.8843 0.5853 0.7447 0.5000 0.6171 0.6358 0.5880 0.5497 0.1890 0.4799 0.2653 0.9452 0.1548 0.9172 0.6868 0.9047 0.8244 0.2089 0.1999 0.2858 0.1835 0.6099 0.9827 0.7093 0.4070 0.7572 0.3685 0.6177 0.7302 0.2362 0.7487 0.7537 0.6256 0.8594 0.3439 0.1194 0.8256 0.3804 0.7802 0.8055 0.5841 0.6073 0.7900 0.5678 0.0811 0.5767 0.1078 0.4501 0.3185 0.0759 0.9294 0.1829 0.9063 0.4587 0.5341 0.0540 0.7757 0.2399 0.8797 0.6619 0.0900 0.5308 0.4868 0.8865 0.8178 0.7703 0.1117 0.7792 0.4359 0.0287 0.2607 0.3502 0.1363 0.9340 0.4468 0.4899 0.5944 0.6620 0.6787 0.1299 0.3063 0.1679 0.0225 0.4162 0.4952 0.5688 0.5085 0.9787 0.4253 0.8419 0.1897 0.4694 0.5108 0.7127 0.3127 0.8329 0.4950 0.0119 0.8176 0.5005 0.1615 0.2564 0.1476 0.3371 0.7948 0.4711 0.1788 0.6135 0.0550 Columns 7 through 12 0.8507 0.5590 0.6837 0.9879 0.6312 0.7829 0.5606 0.8541 0.1321 0.1704 0.3551 0.6938 0.9296 0.3479 0.7227 0.2578 0.9970 0.0098 0.6967 0.4460 0.1104 0.3968 0.2242 0.8432 0.5828 0.0542 0.1175 0.0740 0.6525 0.9223 0.8154 0.1771 0.6407 0.6841 0.6050 0.7710 0.8790 0.6628 0.3288 0.4024 0.3872 0.0427 0.9889 0.3308 0.6538 0.9828 0.1422 0.3782 0.0005 0.8985 0.7491 0.4022 0.0251 0.7043 0.8654 0.1182 0.5832 0.6207 0.4211 0.7295 0.6126 0.9884 0.7400 0.1544 0.1841 0.2243 0.9900 0.5400 0.2348 0.3813 0.7258 0.2691 0.5277 0.7069 0.7350 0.1611 0.3704 0.6730 0.4795 0.9995 0.9706 0.7581 0.8416 0.4775 0.8013 0.2878 0.8669 0.8711 0.7342 0.6237 0.2278 0.4145 0.0862 0.3508 0.5710 0.2364 0.4981 0.4648 0.3664 0.6855 0.1769 0.1771 0.9009 0.7640 0.3692 0.2941 0.9574 0.8296 0.5747 0.8182 0.6850 0.5306 0.2653 0.7669 0.8452 0.1002 0.5979 0.8324 0.9246 0.9345 0.7386 0.1781 0.7894 0.5975 0.2238 0.1079 0.5860 0.3596 0.3677 0.3353 0.3736 0.1822 0.2467 0.0567 0.2060 0.2992 0.0875 0.0991 0.6664 0.5219 0.0867 0.4526 0.6401 0.4898 0.0835 0.3358 0.7719 0.4226 0.1806 0.1932 0.6260 0.1757 0.2057 0.3596 0.0451 0.8959 0.6609 0.2089 0.3883 0.5583 0.7232 0.0991 0.7298 0.9052 0.5518 0.7425 0.3474 0.0442 0.8908 0.6754 0.2290 0.4243 0.6606 0.5573 0.9823 0.4685 0.6419 0.4294 0.3839 0.7725 0.7690 0.9121 0.4845 0.1249 0.6273 0.3119 0.5814 0.1040 0.1518 0.0244 0.0216 0.1790 0.9283 0.7455 0.7819 0.2902 0.9106 0.3390 0.5801 0.7363 0.1006 0.3175 0.8006 0.2101 0.0170 0.5619 0.2941 0.6537 0.7458 0.5102 0.1209 0.1842 0.2374 0.9569 0.8131 0.9064 0.8627 0.5972 0.5309 0.9357 0.3833 0.6289 0.4843 0.2999 0.0915 0.4579 0.6173 0.1015 0.8449 0.1341 0.4053 0.2405 0.5755 0.3909 0.2094 0.2126 0.1048 0.7639 0.5301 0.0546 0.5523 0.8949 0.1123 0.7593 0.2751 0.5013 0.6299 0.0715 0.7844 0.7406 0.2486 0.4317 0.0320 0.2425 0.2916 0.7437 0.4516 0.9976 0.6147 0.0538 0.6035 0.1059 0.2277 0.8116 0.3624 0.4417 0.9644 0.6816 0.8044 0.4857 0.0495 0.0133 0.4325 0.4633 0.9861 0.8944 0.4896 0.8972 0.6948 0.2122 0.0300 0.1375 0.1925 0.1967 0.7581 0.0985 0.5357 0.3900 0.1231 0.0934 0.4326 0.8236 0.0871 0.9274 0.2055 0.3074 0.6555 0.1750 0.8021 0.9175 0.1465 0.4561 0.1098 0.1636 0.9891 0.7136 0.1891 0.1017 0.9338 0.6660 0.0669 0.6183 0.0427 0.9954 0.1875 0.8944 0.9394 0.3433 0.6352 0.3321 0.2662 0.5166 0.0182 0.9360 0.2819 0.2973 0.7978 0.7027 0.6838 0.1248 0.5386 0.0620 0.4876 0.1536 0.7837 0.7306 0.6952 0.2982 0.7690 0.9535 0.5341 0.6465 0.4991 0.0464 0.3960 0.5409 0.8854 0.8332 0.5358 0.5054 0.2729 0.6797 0.8990 0.3983 0.4452 0.7614 0.0372 0.0366 0.6259 0.7498 0.1239 0.6311 0.6733 0.8092 0.1379 0.8352 0.4904 0.0899 0.4296 0.7486 0.2178 0.3225 0.8530 0.0809 0.4517 0.1202 0.1821 0.5523 0.8...

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

y = 16

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

y = lol