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([[-0.23542915, 0.019427847, -0.28674638], [0.19481708, -0.5288479, 0.39304277], [-0.4196414, -0.45901766, -0.36482018], [0.18454532, -0.2641478, 0.17782699], [-0.49001414, -0.3502921, -0.2119892], [-0.12447734, -0.42416584, 0.40329638], [-0.21011646, 0.106534325, 0.31543648], [-0.0014559925, 0.0386138, 0.4395684], [-0.26644415, 0.15435594, -0.26017725], [0.379424, 0.3837189, -0.5666436], [0.3614096, 0.087619275, 0.048771735], [0.1296609, 0.37946472, -0.1687633], [-0.48826423, -0.16567004, -0.40661317], [0.036213607, -0.10792958, -0.30975118], [-0.0147411125, 0.52427316, -0.022802867], [-0.002036359, -0.09885208, 0.086610846], [0.40657204, 0.2238801, 0.009602953], [0.073843, 0.03243859, 0.13444334], [-0.07460719, -0.5365944, -0.3570403], [0.44235224, -0.038325556, -0.5196707], [0.056200508, 0.44217056, -0.57128537], [-0.38868964, -0.22992592, 0.024093287], [-0.13465506, -0.06344569, -0.56285304], [0.07884409, 0.3441586, 0.18144065], [-0.41164762, -0.46971434, 0.21748541], [0.017813798, 0.23232244, -0.56930393], [-0.10637332, 0.31946844, 0.15970229], [0.019157864, 0.120891795, -0.05260856], [-0.31744653, -0.21818024, -0.35159457], [0.3342472, 0.18117252, 0.03801136], [-0.5307233, 0.3684451, 0.118001826], [0.37906352, -0.24563491, 0.079557896], [0.36386365, 0.16922398, 0.23278497], [-0.13009849, 0.43572208, -0.4599685], [0.09138788, -0.32260093, -0.13306682], [-0.21087277, -0.04080089, 0.4532903], [0.188427, -0.11914838, 0.3109392], [-0.3040023, 0.27162623, -0.08803313], [-0.09685359, 0.08128833, -0.4417031], [-0.028111596, 0.061929215, 0.37442], [-0.13649113, 0.17909804, 0.51279116], [-0.25855237, 0.5212756, -0.31878048], [0.163367, 0.113046415, 0.065908894], [0.40658817, -0.29446855, 0.056562543], [0.003240168, -0.43424916, -0.1401887], [-0.41715816, 0.22803639, 0.004565513], [0.05923576, -0.17785692, 0.015718892], [-0.26049846, 0.07957072, 0.47593328], [0.05993161, -0.25835928, -0.354593], [0.038070854, -0.42849436, -0.43412265], [-0.37566882, -0.19559821, 0.045233984], [0.26689932, 0.07215972, 0.28239053], [-0.3626175, 0.046123292, -0.5132302], [0.20252912, -0.014018324, 0.41108793], [-0.46416473, 0.39063588, 0.4013944], [0.31497276, -0.05818812, 0.355949], [0.2717994, 0.3202143, -0.11524093], [-0.44821808, -0.029269796, 0.03658152], [-0.39327312, -0.3311907, -0.5535325], [-0.25865397, 0.43185622, 0.017712092], [-0.017456442, 0.01518737, 0.32183018], [-0.509837, -0.4454775, -0.19195187], [-0.41681582, 0.20493266, 0.33650172], [-0.5601601, -0.4899854, -0.562234], [0.15874517, 0.4512543, -0.4500686], [-0.26548132, 0.19168887, -0.3773668], [0.43955946, 0.10799524, -0.13134816], [0.028558075, 0.18052027, -0.20356049], [-0.44662815, 0.025868133, 0.036333214], [0.001440613, -0.09777873, 0.3270047], [-0.17591882, -0.04380894, 0.24134234], [-0.3623925, 0.16608232, -0.1157589], [0.22137137, -0.36944073, -0.026296362], [0.06420905, -0.46413052, -0.41947573], [0.124891065, -0.26964396, 0.29552424], [-0.5703427, -0.28540075, -0.4755414], [0.2031791, -0.061712094, -0.14792605], [-0.0917208, -0.4541428, 0.14589387], [-0.0007566675, -0.41640168, 0.21611887], [0.030195972, -0.5582799, 0.3130937], [0.29674342, -0.13212177, -0.43647552], [-0.062206794, 0.3056221, 0.39108688], [-0.44272104, -0.29560864, 0.4645958], [0.19973324, 0.3163559, -0.3359163], [0.45657954, -0.53855866, -0.059043735], [-0.00046992113, 0.101379186, -0.43546838], [0.4426711, 0.4395975, -0.4802342], [-0.0311819, -0.35821444, 0.4933132], [0.20583771, 0.22109854, 0.046218153], [-0.07295494, 0.2868398, -0.032766555], [-0.23022668, 0.2757835, 0.12763031], [-0.14959988, -0.15822634, -0.5105737], [-0.15826234, -0.23389277, -0.3146841], [-0.5144769, 0.47073463, -0.51469016], [0.5182454, -0.37458342, -0.10956521], [0.44642398, 0.13391508, -0.1260724], [-0.48491666, -0.2606583, 0.42761377], [-0.25250363, 0.4486633, -0.14150563], [-0.12624884, 0.1935855, -0.12529439], [-0.04089063, 0.3448694, 0.09767635]]))
eparams.append(np.array([-0.022979079, 0.22052328, 0.5028397, 0.14489046, -0.16930917, 0.18955675, -0.051886052, -0.45319185, -0.2232842, 0.26172638, 0.016135786, 0.21075156, -0.33792597, 0.5457465, -0.24174812, 0.122755125, -0.28473037, -0.2792322, 0.25857913, -0.16184743, -0.3666608, -0.23598698, 0.42100424, 0.3436754, 0.3511683, -0.49277022, 0.2703094, 0.14423954, -0.38821286, 0.015110303, 0.114325695, -0.3117907, -0.24733877, 0.47076982, -0.046137635, -0.007065698, -0.36641327, -0.34578022, 0.53170764, 0.21301106, -0.09173925, 0.35091192, -0.27628163, -0.5039773, -0.5731891, 0.23392783, -0.2248602, 0.35372174, 0.49287772, 0.19014345, 0.49607766, -0.13569888, 0.503098, -0.27772185, -0.0771989, 0.3809599, -0.30139393, 0.4396397, 0.14151502, -0.012955613, 0.49408486, 0.43307626, -0.2389132, 0.055999756, 0.066292755, 0.4730147, 0.32427078, 0.4672567, 0.35238704, -0.502485, 0.38343644, -0.15320133, 0.46285897, 0.36340368, -0.33784515, -0.06077051, 0.085801594, 0.16481435, -0.534576, 0.026631046, 0.30060792, 0.32357836, 0.28419223, 0.09001924, -0.55391365, 0.37978494, -0.45619678, -0.33980665, 0.004396157, 0.17481852, 0.33427146, -0.08108017, -0.2971386, -0.049501937, 0.18879615, -0.32424617, -0.5019587, 0.2747984, -0.38291624, -0.3265273]))
eparams.append(np.array([[0.08295878, -0.07129161, -0.08114841, 0.07571915, -0.04771881, 0.0055034193, 0.09721125, -0.04258187, 0.09269146, 0.0943747, 0.087960005, 0.0401518, -0.045074593, 0.062947005, -0.06517193, -0.058923464, -0.0396041, 0.046163812, 0.013773024, 0.06977033, 0.07137033, 0.005839266, 0.058289535, -0.06713952, -0.095574036, -0.07992783, 0.05698955, 0.09349263, -0.027655445, 0.06262268, -0.07407775, -0.0017032276, 0.0064706043, -0.028541815, -0.048536304, 0.044021763, -0.007016325, -0.022379702, 0.06933944, -0.07645243, 0.057971787, 0.08716014, -0.056576323, -0.092355296, 0.013910368, -0.079092726, 0.041641247, -0.0819241, -0.0780891, 0.027042221, -0.025627315, -0.08632681, 0.039000303, 0.034780663, 0.009963054, 0.06716315, -0.028034016, 0.09099086, -0.0762154, 0.09046345, 0.069072604, -0.08895421, -0.012620974, -0.053795423, 0.109962784, -0.0047049974, 0.06873505, 0.08906169, -0.07711021, 0.056816652, -0.09027649, -0.02747828, -0.04160706, -0.09354763, -0.09389922, -0.096411824, -0.07377336, -0.055877544, -0.03339497, 0.055271074, -0.012603435, -0.099708766, -0.074712425, 0.08339769, -0.09775229, -0.048225753, -0.07345473, 0.04832381, 0.07451606, 0.009823686, -0.05255139, -0.024243519, 0.005828634, 0.040088635, 0.004492323, -0.03692042, 0.0030716264, 0.0035965294, 0.0017227024, 0.044944733], [-0.037725005, -0.014536106, 0.00042637438, 0.040072434, -0.06121483, -0.10177293, -0.08579635, 0.043717388, 0.07534445, 0.0946721, 0.06486236, -0.0057264715, 0.018418692, -0.09957644, 0.011374472, -0.036158893, 0.006842246, 0.07053846, -0.034421943, -0.084887765, -0.009274406, -0.027851855, -0.046630025, -0.01766392, -0.06750195, 0.077417135, 0.014807972, -0.055535607, 0.0637599, 0.026278637, 0.05355078, 0.070384495, 0.11439279, -0.0454195, 0.0012602983, -0.060741145, 0.10209447, 0.020365557, -0.018220708, 0.033864483, 0.08511709, 0.018229418, 0.060566127, 0.09463034, 0.004273519, -0.009974504, 0.021878054, -0.09193606, 0.033726856, -0.00095229596, 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eparams.append(np.array([-0.022840245, 0.0034468984, -0.032383725, 0.07980798, -0.003061958, 0.095512725, -0.042092334, 0.0709445, 0.04581454, 0.0033469405, 0.018580122, -0.056849238, 0.09194437, -0.066815674, 0.014304817, -0.098019496, 0.061635118, 0.04078328, 0.059619658, -0.016212782, 0.036109313, -0.09033704, -0.06350943, 0.042390365, 0.07321547, 0.073882155, 0.04391733, -0.09711246, -0.04836452, 0.09975528, -0.002451035, 0.05881277, 0.032684684, -0.06415257, 0.05946634, -0.045321696, 0.033675395, 0.022560013, 0.03533, -0.09530018, -0.081396416, 0.041367102, 0.042224217, -0.07481061, -0.049044944, 0.07575809, -0.0778817, -0.05857202, 0.049802516, 0.0034109906, 0.017935924, 0.0009795763, -0.022421574, -0.018345462, -0.013604045, -0.04057295, 0.013932064, -0.07948927, -0.0026064285, 0.068855815, -0.08932516, 0.002331639, 0.049018145, -0.0063649863, 0.086721554, -0.048994042, 0.08615922, -0.026323363, -0.042753007, -0.0730816, 0.006906762, -0.07037552, -0.05668263, 0.012573963, 0.052404992, 0.026097061, 0.0557425, 0.06815666, -0.09424158, 0.062191226, 0.0038705843, -0.0123679405, 0.07886227, 0.02453062, -0.066304624, -0.052115873, 0.07258036, 0.08676057, -0.09279211, 0.027390895, 0.042328, 0.042725503, 0.032504454, -0.025702618, 0.012925917, 0.047619246, -0.009108756, -0.015614668, -0.06297684, -0.085963145]))
eparams.append(np.array([[-0.018367669, 0.058186345, 0.07332706, -0.099483274, -0.019630225, -0.08179211, 0.1484148, 0.013773869, 0.05652466, 0.0535567, 0.024351517, -0.05247879, 0.032271657, 0.053338327, -0.040375497, -0.050790403, 0.07149346, 0.13937773, -0.008557396, -0.007372576, 0.06275849, -0.05684278, -0.08511059, -0.070961095, -0.04365115, 0.039374236, 0.04745685, -0.0006866709, 0.1664118, 0.0093061775, -0.06769472, -0.085163094, -0.07902714, -0.07835403, -0.0023449152, 0.08019509, -0.009366942, 0.07475575, -0.10981798, 0.009222428, 0.103350446, 0.09757303, 0.10802108, -0.0062726587, 0.43272668, 0.09744067, 0.1261542, 0.06381049, 0.015437938, 0.0703356, 0.07126868, -0.03602267, -0.0870434, 0.066501886, 0.14345656, -0.08327162, 0.04542035, 0.15200616, 0.024117343, -0.070994854, 0.16278964, 0.024098665, 0.11005287, 0.083215185, -0.14745244, 0.080655254, -0.0065241884, -0.04799477, -0.08879935, 0.08067398, 0.11151605, 0.16113585, -0.07274474, 0.040553614, -0.027957192, -0.061785195, 0.0026058592, 0.21849427, 0.018828994, -0.08460957, -0.042509764, -0.017065262, -0.0420537, 0.29245675, 0.029588424, -0.072369434, 0.0034737259, -0.010361515, 0.022327423, -0.0016844474, 0.06766777, 0.089608364, -0.043529563, -0.09033763, 0.05473409, -0.00211972, 0.019751826, -0.025010323, -0.060114864, 0.021926444], [0.043015826, 0.118228756, 0.06103501, 0.02183677, 0.024064343, 0.08053224, -0.052093145, 0.17154492, 0.0049560447, -0.07426041, 0.017029652, -0.023222074, -0.0072004735, -0.075076565, -0.080624975, 0.01800956, 0.068991154, -0.07297646, 0.082288496, -0.04587866, -0.025220638, 0.02621458, 0.077684656, 0.23011668, -0.06366242, -0.06244421, 0.070531815, 0.0023074588, 0.14587036, 0.03220185, 0.07685551, -0.0750379, 0.1746703, 0.07502105, 0.10654858, -0.10387798, 0.091612376, -0.12910295, 0.099185035, 0.027037038, -0.03575338, 0.069894254, -0.050797295, -0.03877239, -0.042343702, 0.020559646, -0.009143338, -0.041450877, -0.03611636, 0.26720747, 0.16995706, 0.2573338, -0.011623458, 0.14641933, 0.022835976, -0.03691807, 0.03751536, 0.016869778, 0.021697575, 0.0016861752, 0.17302135, -0.0627722, -0.12848122, 0.0030022296, -0.0076054386, -0.0687689, 0.11696334, 0.090049036, 0.029195359, 0.06913475, 0.032918196, -0.094216354, 0.20363334, 0.012420274, 0.060261678, 0.18127751, 0.16340601, 0.0405531, 0.15112379, 0.021929013, 0.13911273, -0.056700584, -0.095246315, 0.04145387, -0.03762238, -0.017621575, -0.047972254, -0.01885064, -0.058845114, 0.19044687, -0.043118432, 0.002732348, 0.09469936, 0.07922561, 0.07100652, 0.055570148, -0.046996877, -0.14692724, 0.077404745, -0.056840397], [0.052717485, 0.09519041, 0.0953898, -0.062266823, 0.15516922, 0.052850846, 0.0698184, -0.028175121, -0.041799407, -0.0014759871, 0.07738286, 0.015007534, 0.1320708, -0.09380295, -0.07090174, 0.15383236, -0.06474127, -0.016773483, -0.007967273, 0.0102408845, 0.12866423, -0.08680921, 0.045196358, 0.08400136, 0.12932765, 0.14387521, -0.05519812, -0.036583994, -0.10696639, 0.0035587102, -0.091230065, -0.05196503, 0.033164043, -0.02468358, 0.029995343, 0.02641406, 0.21008211, 0.019050917, 0.05341314, 0.03581815, 0.085068054, -0.018024975, 0.14504406, -0.05382304, 0.0287802, -0.03943124, -0.019983914, -0.0075753713, 0.09274055, 0.11622079, -0.105669, -0.011068507, 0.19199178, -0.07867623, 0.053919956, -0.02416695, 0.03506956, -0.08865922, 0.0042785103, -0.008307628, -0.04284712, -0.0072709033, 0.25640592, 0.013818793, -0.09402329, 0.037973233, 0.008198212, 0.016466461, -0.04378777, -0.053994957, -0.04134438, 0.2545591, 0.20442072, -0.09152371, -0.05301517, 0.05802966, 0.00083906687, -0.055779047, -0.069458276, 0.3373095, -0.09372516, -0.02639252, -0.09064956, -0.086231664, -0.021222137, 0.07804921, 0.031048873, -0.036502406, 0.06372536, -0.06324388, 0.18275584, -0.08347367, -0.05305798, 0.05302257, -0.07778819, -0.07006421, -0.03761408, -0.05921881, -0.076356485, 0.036543787]]))
eparams.append(np.array([-0.0019352841, 0.11546161, 0.014331967]))

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)