Problem:


Score : 100 points

Problem Statement

We have three boxes A, B, and C, each of which contains an integer.

Currently, the boxes A, B, and C contain the integers X, Y, and Z, respectively.

We will now do the operations below in order. Find the content of each box afterward.  

Swap the contents of the boxes A and B

Swap the contents of the boxes A and C

Constraints

1 \leq X,Y,Z \leq 100

All values in input are integers.

Input

Input is given from Standard Input in the following format:

X Y Z

Output

Print the integers contained in the boxes A, B, and C, in this order, with space in between.

Sample Input 1

1 2 3

Sample Output 1

3 1 2

After the contents of the boxes A and B are swapped, A, B, and C contain 2, 1, and 3, respectively.

Then, after the contents of A and C are swapped, A, B, and C contain 3, 1, and 2, respectively.  

Sample Input 2

100 100 100

Sample Output 2

100 100 100

Sample Input 3

41 59 31

Sample Output 3

31 41 59



Sample input:
1 2 3


Sample output:
3 1 2

Submission status: Wrong Answer

Solution code:
import numpy as np

eparams = []
eparams.append(np.array([[-0.07321921, -0.25993538, 0.43829826], [0.19160908, 0.44875917, -0.03899209], [0.33087024, -0.20998774, 0.07029812], [-0.14386527, 0.34930977, 0.10131375], [0.2962256, 0.28627214, 0.1847744], [-0.21652173, -0.1244268, 0.42210624], [0.238664, 0.17432943, -0.023298522], [0.19283998, -0.056007978, -0.27016482], [-0.24871075, 0.19567704, 0.10291915], [-0.107420266, 0.34595, 0.15727308], [-0.39646283, 0.121775575, 0.46643373], [-0.10808724, -0.43792698, -0.25559855], [0.2956993, 0.28557253, -0.476215], [0.098215505, -0.4427778, 0.24567972], [-0.43193007, -0.46169883, 0.31529874], [-0.5171869, 0.12945673, 0.07863969], [-0.5607298, -0.42907566, -0.32843864], [-0.051025793, 0.115241304, -0.011636046], [0.47013715, -0.1409823, -0.044057388], [0.26468608, -0.016180366, 0.01650286], [-0.23817497, 0.0120290015, 0.5201396], [-0.07264046, 0.21375243, -0.47184622], [0.4573812, -0.074390575, -0.0010901182], [0.12341331, -0.05088619, 0.3607554], [-0.03034538, -0.03370917, -0.18662795], [0.3116582, -0.4357303, -0.5356007], [0.1745082, 0.3188093, -0.49963492], [-0.21058124, 0.19475582, -0.14866799], [-0.28070042, 0.15948223, 0.4296813], [-0.4028352, -0.36137104, -0.5102747], [0.08426722, -0.5317429, -0.17033668], [-0.46488398, 0.110640004, -0.26403627], [0.05339558, 0.107283235, -0.056029133], [0.13974959, -0.5455569, 0.42777088], [0.23797327, 0.20967275, 0.14031488], [-0.23848924, 0.033746522, -0.23184611], [-0.012191427, -0.0020287617, 0.46358174], [-0.24508393, -0.23603055, -0.46878937], [0.20581599, 0.15482563, 0.16708788], [0.30879855, 0.10764787, 0.29215467], [-0.28340667, 0.0803496, -0.47358775], [0.21201144, 0.4635288, -0.4420669], [0.28351015, -0.19858111, -0.5192972], [0.17775892, 0.283149, -0.20882961], [0.49599844, -0.5819894, -0.0964285], [-0.4180123, -0.10688359, 0.49840066], [-0.056200206, -0.35617328, -0.10295457], [0.4275318, -0.0865025, 0.21072982], [0.23443453, 0.043468896, -0.08374047], [-0.16314861, -0.48197386, -0.4199947], [-0.25313255, 0.29389966, -0.16684134], [-0.15443242, -0.31881183, -0.16833523], [-0.5578171, -0.1792479, 0.34623563], [-0.06569016, -0.038087487, -0.44851255], [0.03457559, 0.15444495, -0.30890146], [-0.5323463, 0.43308964, -0.24968952], [0.31716514, -0.25339234, -0.1359248], [-0.060687553, 0.42854246, -0.36917683], [-0.4325576, -0.23205051, -0.19338578], [-0.32076833, -0.21965976, 0.38692144], [0.19821611, -0.52746344, -0.5058223], [0.08004527, -0.13390005, -0.27544236], [0.20271912, -0.28163776, -0.32711494], [0.29363945, -0.22803016, -0.2295227], [0.15886809, -0.12931482, 0.35476726], [0.1536468, -0.17536631, 0.44063452], [-0.05041025, 0.24756496, 0.4091443], [0.35386539, 0.05380118, -0.035418306], [-0.017344175, 0.22161095, -0.5806282], [-0.013480576, 0.20599106, 0.089240335], [-0.52972263, 0.5187891, -0.05273519], [0.56076443, -0.55381286, -0.54308945], [-0.5027529, -0.13943458, -0.56093925], [0.35237736, 0.2986216, -0.04600102], [-0.30164936, 0.3302521, 0.2376166], [0.30165803, 0.00072063075, 0.15068108], [-0.21962637, 0.04938786, -0.5482211], [0.48126906, -0.20780383, -0.2568057], [0.3214461, -0.22378133, -0.048689578], [-0.05433196, 0.03411245, 0.175024], [-0.31174013, -0.160525, -0.4741424], [-0.5450018, -0.18403035, -0.110563844], [-0.08742601, 0.049493507, -0.4858438], [0.46535864, -0.31864196, -0.37601236], [0.40062067, -0.18350944, -0.36997062], [-0.39405495, 0.23850347, -0.13546774], [0.11828343, 0.30103576, -0.5064201], [0.08037755, 0.4095364, -0.110067375], [-0.11490205, -0.20994198, -0.44621915], [-0.5173722, -0.24330872, -0.29944605], [0.18505515, 0.032309294, -0.39530998], [-0.3048208, -0.0411762, 0.05098001], [0.27290738, -0.36798194, 0.2307198], [0.05550229, -0.12188247, -0.10764517], [0.005152464, -0.50649464, -0.52556044], [-0.19114234, -0.13466734, 0.2578434], [-0.17930093, 0.001827565, 0.2983726], [-0.00474114, 0.16750057, -0.08753688], [0.43334508, -0.49636316, 0.4107704], [0.3899805, 0.3683836, -0.23137008]]))
eparams.append(np.array([0.40221027, -0.5143527, 0.27309483, 0.36242744, 0.24836746, 0.0043599266, -0.061055586, 0.39643365, 0.11604665, -0.13819802, -0.5546535, -0.12290475, 0.20201927, 0.35582852, -0.41794962, 0.25837106, 0.095754266, -0.036509696, -0.49237448, -0.07541226, -0.32307327, -0.15168002, 0.4521574, 0.49028713, 0.15040523, 0.4255284, -0.18424946, 0.17075735, -0.55054384, 0.116870224, 0.15213475, -0.4846074, -0.53855115, -0.5386288, 0.11748757, 0.44002864, 0.28963336, 0.42215747, -0.10918459, 0.31921557, -0.1818163, -0.17269866, -0.22112559, 0.2398104, -0.47796082, 0.56616163, -0.36985153, -0.4287428, -0.2089996, -0.10553366, 0.26655453, -0.23796985, 0.5466788, -0.13273275, 0.5271877, 0.33211312, 0.52941966, 0.39315912, 0.38382936, 0.3269348, 0.024967488, -0.3720377, -0.03303135, 0.43733898, 0.3036697, 0.10705967, 0.49077842, 0.084397756, -0.39687273, -0.13656957, -0.02784932, -0.35418552, 0.036710262, -0.13089402, -0.34294665, -0.0722145, 0.037168685, -0.17704621, -0.4033891, -0.4294867, 0.124780595, 0.1316824, -0.09639028, -0.16480362, -0.026224708, -0.22000515, -0.10019682, 0.5460534, -0.08791751, -0.19319075, 0.39439526, -0.034707393, -0.098332725, 0.27107805, 0.097198606, -0.05580262, -0.34949777, -0.25822535, -0.1995171, -0.44732496]))
eparams.append(np.array([[-0.075297974, -0.069912806, -0.003691934, 0.0043656826, -0.0814093, -0.09999453, -0.07429987, 0.06316114, -0.04590665, 0.05698044, 0.04200346, 0.061591946, 0.027012639, -0.07977986, -0.064626254, 0.049660943, 0.021682382, 0.05463823, -0.016643181, 0.0018244982, 0.035386212, -0.048931193, -0.07476982, 0.09059065, -0.09408957, -0.07562488, 0.060360797, -0.04985696, -0.06673111, 0.03635747, -0.027980968, 0.056827717, 0.047725163, -0.08250223, 0.060244493, -0.0774197, 0.022138298, 0.060830228, -0.0060279146, -0.035005093, -0.07838132, -0.049502887, 0.050120644, -0.02189529, 0.00922291, 0.054762326, -0.04601978, -0.041687585, 0.06916506, -0.019211724, -0.009235464, -0.029638335, 0.051959805, -0.075991966, -0.09961163, 0.091791816, -0.057371832, 0.07317091, -0.028058603, 0.056077935, 0.007772982, 0.08894058, -0.04418677, 0.056936987, -0.07381846, 0.026902653, -0.012078024, -0.033492766, -0.057581663, -0.065834284, -0.0867412, 0.031327255, 0.035209753, 0.089699335, 0.009865567, -0.01724954, -0.07424061, 0.07900066, -0.076724306, 0.03803634, 0.068279795, 0.062230654, 0.081858166, -0.096744895, 0.018025361, -0.018905103, 0.0111982, 0.066691466, 0.007927738, -0.09980738, -0.0048683435, -0.053038813, -0.054168176, -0.073522605, -0.04948033, 0.025233202, -0.08048169, 0.007582471, 0.057057627, 0.009071529], [-0.0078116306, -0.0034203646, 0.028994534, 0.06664804, 0.008619871, 0.05214381, -0.03231695, 0.054728717, 0.06045235, 0.00822638, 0.0072070295, 0.091074355, -0.036881406, -0.06942045, 0.08812652, 0.017424138, 0.08142003, 0.014618364, 0.07426609, -0.03517996, 0.037871562, 0.079291716, -0.03741157, 0.02528852, 0.03861419, -0.017044203, -0.012487611, -0.09276697, -0.017396366, 0.07479746, -0.068191975, 0.04959002, -0.07492449, 0.020083204, -0.07299154, -0.027192617, -0.089212045, 0.09170505, -0.07567551, -0.1189148, 0.040173903, -0.004167867, -0.06258476, 0.039699785, 0.04417085, -0.040805448, 0.03845694, -0.05025429, 0.01951075, -0.06416796, -0.04069036, -0.042693354, -0.01773497, -0.071407355, 0.00091138214, -0.021863597, -0.07339804, -0.014454849, -0.05448656, -0.046101335, 0.03397365, -0.061906036, 0.08157623, 0.075263105, 0.032519195, 0.08577763, 0.014802225, 0.062306304, -0.05567373, 0.04910859, -0.07276344, 0.059231613, -0.08309897, 0.027781254, 0.06143976, -0.050727185, 0.058041744, 0.08384734, 0.037407722, 0.087391526, -0.019984268, 0.04454971, -0.051220927, -0.031243622, -0.042139612, 0.08447649, 0.016355053, 0.064562134, 0.065087385, -0.05045364, 0.0056066853, -0.040701907, -0.06257862, 0.06738576, 0.087352805, 0.06172335, -0.011888142, -0.078915514, -0.08208996, -0.0008153451], [0.033348855, 0.09175351, 0.045283243, -0.10279439, 0.040691007, 0.09442318, -0.033328682, -0.076108724, 0.025770813, -0.023883726, -0.033435706, -0.026793972, 0.07624375, -0.02509211, 0.056747004, -0.048223466, 0.07859468, -0.017696103, 0.010488292, 0.01669977, -0.06428986, -0.105059005, 0.11142453, 0.0937112, -0.041906513, 0.0070936317, -0.0003156015, 0.070984, -0.023769883, -0.08852247, -0.023682933, -0.027319407, -0.013680948, 0.026898116, 0.046213306, 0.051083025, 0.11551753, 0.02226229, 0.13666295, 0.13698572, 0.01359735, -0.063148715, 0.036915597, -0.0016204158, 0.08056028, 0.06347298, 0.039975397,
0.06662905, -0.05466165, 0.049432464, -0.10302396, -0.0011876822, 0.039566323, 0.07569831, 0.005299299, -0.13532946, 0.05045627, -0.024254901, -0.060169365, 0.07101303, -0.021076098, 0.029942086, -0.07046656, 0.05794063, -0.0026395658, -0.033685774, -0.054821927, 0.03604031, 0.011490618, -0.059239235, -0.0058554905, 0.0101458095, -0.075244054, 0.09973912, 0.01710872, 0.14183089, 0.045250416, 0.03191135, 0.11256538, -0.07566869, -0.057145488, 0.0703956, 0.0592628, -0.0035138186, 0.062012274, 0.054225598, -0.050824195, 0.08326778, -0.068748415, 0.07029257, -0.0800858, 0.015129369, 0.13440976, 0.02815387, 0.058949135, -0.016640263, 0.034097895, -0.033884045, 0.09715623, 0.08595227], [0.071297266, -0.04036775, -0.054446135, -0.08536962, -0.02247309, -0.028177632, 0.06344843, 0.055699103, 0.055813033, -0.0665157, -0.08093462, 0.062322862, 0.071836, 0.07156339, -0.01742805, -1.3919957e-06, 0.01550702, 0.09587382, 0.04678817, -0.012213057, 0.042304907, 0.034821045, 0.027885446, 0.09368034, 0.06796349, 0.019268997, -0.009715577, 0.074717015, 0.07146044, -0.05139623, 0.015917819, -0.013951414, 0.009891806, -0.011078887, -0.01087084, -0.0034941277, 0.02482543, -0.024521694, -0.015544565, 0.012836106, 0.06953159, 0.008178733, -0.077642106, 0.013700686, 0.0066854157, -0.0166183, -0.07250123, -0.0109930355, 0.078231215, 0.06804504, -0.102048635, -0.05587801, 0.061563328, 0.080956556, 0.024809642, 0.021994444, -0.039406113, 0.026651692, -0.036066785, 0.08637684, 0.06258787, 0.014830306, -0.07725919, -0.09113031, -0.019919854, 0.08085416, 0.017044343, 0.03268638, -0.056093216, 0.084712826, 0.019469786, 0.07200917, 0.08923829, -0.00856851, -0.048103437, 0.09907816, 0.025512343, -0.08459166, -0.04491334, 0.005072532, -0.07427986, -0.05186056, 0.043646704, -0.0011089545, 0.016898759, -0.02062778, -0.019997958, 0.076868765, -0.033504546, 0.06564764, -0.04420317, 0.073734924, 0.018416243, -0.040410668, -0.096897125, -0.013094589, 0.06451519, -0.070987865, 0.07330542, -0.048240427], [-0.036103033, -0.0071244105, 0.025239803,
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eparams.append(np.array([-0.015657984, 0.052175645, 0.04057571, -0.09079017, 0.09431998, 0.008610166, 0.019498348, -0.075402245, -0.04208148, -0.02921337, -0.085824065, 0.03447645, -0.032294217, 0.06703777, 0.00589694, -0.043843713, 0.087037906, 0.0977937, -0.092626914, -0.074041836, 0.055405654, -0.033428535, -0.028781185, 0.058576044, 0.086799525, 0.039509032, -0.07636759, 0.013782144, -0.020456528, -0.01642748, 0.011638355, 0.061155453, -0.08615115, 0.048944842, 0.07319821, 0.08535735, 0.00070305914, 0.04968937, 0.04684881, 0.046423286, -7.721963e-05, -0.05472727, 0.01206881, -0.07097118, -0.039780542, -0.04638512, 0.012812072, -0.01814656, -0.0038689375, 0.06607721]))
eparams.append(np.array([[0.073791325, 0.079654455, 0.18788777, 0.0895933, -0.038937137, -0.059056923, -0.06432889, 0.40224507, 0.3926952, -0.07078301, 0.05972701, 0.023257732, 0.09017309, -0.008539803, 0.067358665, 0.35389587, -0.0691583, -0.16479756, 0.038208112, -0.079219095, 0.06470261, 0.13264923, 0.100033365, -0.0065932903, -0.05964545, 0.052612178, -0.0593434, -0.061376467, -0.06778036, 0.050126556, -0.109626904, -0.18904044, 0.009292937, 0.3487339, 0.105771765, 0.101857424, -0.038065538, -0.025627097, 0.08731741, 0.11602211, 0.096945636, -0.008372225, -0.035273686, 0.0730144, -0.11363898, -0.0808887, -0.081403166, -0.0074802684, -0.035328835, 0.110730305], [0.0060638487, 0.03192641, 0.31514722, 0.035932887, -0.08581895, 0.12311333, 0.12364819, -0.15415719, 0.24269626, 0.048927594, -0.0068577724, -0.064157665, -0.047227137, -0.0797152, -0.05965956, -0.145474, -0.079291634, 0.14904056, 0.26595864, 0.04632616, -0.07286309, -0.07373058, 0.016345367, -0.05495507, 0.20140874, -0.07904391, 0.108274065, -0.07499073, -0.0049115717, 0.014608476, -0.03152589, 0.3228765, -0.1406912, 0.24303612, -0.15323275, -0.2699891, 0.13537385, -0.13323247, -0.053436335, -0.18428597, -0.074407004, 0.1085219, 0.13671756, 0.07335641, 0.40690786, -0.0989063, -0.0394317, 0.01859031, 0.078796804, -0.035155818], [0.11242901, -0.0439875, -0.16937916, -0.03159788, 0.0681374, -0.02166752, 0.43389982, 0.14452559, -0.17114922, -0.15007511, -0.08333948, 0.010096, -0.11042892, -0.10686848, 0.31407234, 0.065849155, -0.13551667, 0.25574532, 0.2579263, -0.014265484, -0.038735826, -0.09475304, -0.041876115, 0.09866534, -0.02581027, 0.07375317, -0.108608425, -0.060827956, 0.051028196, -0.06762026, -0.15269013, -0.014395077, 0.19373007, -0.047953825, 0.33211023, 0.08302265, 0.016194284, -0.04948972, 0.04998383, 0.19515014, 0.038931698, -0.066639684, -0.04240298, -0.046122897, 0.1522146, -0.044952467, -0.0890492, -0.021464199, -0.09968713, -0.036047086]]))
eparams.append(np.array([0.005854695, 0.060082924, -0.013514378]))

def relu(x):
    return np.maximum(0,x)

def emodel(x):
    x = eparams[0].dot(np.array(x))
    x = x + eparams[1]
    x = relu(x)
    x = eparams[2].dot(np.array(x))
    x = x + eparams[3]
    x = relu(x)
    x = eparams[4].dot(np.array(x))
    x = x + eparams[5]
    return x

x = np.array(list(map(int,input().split())))

y = np.round(emodel(x)).astype(np.int)

print(*y)