pycharm扣js

function s(e) {
    return JSON.parse(o("5e5062e82f15fe4ca9d24bc5", decode123(e), 0, 0, "012345677890123", 1))
}

function o(e, t, i, n, a, o) {
var s, c, r, l, d, u, h, p, f, m, v, g, y, b, C = new Array(16843776,0,65536,16843780,16842756,66564,4,65536,1024,16843776,16843780,1024,16778244,16842756,16777216,4,1028,16778240,16778240,66560,66560,16842752,16842752,16778244,65540,16777220,16777220,65540,0,1028,66564,16777216,65536,16843780,4,16842752,16843776,16777216,16777216,1024,16842756,65536,66560,16777220,1024,4,16778244,66564,16843780,65540,16842752,16778244,16777220,1028,66564,16843776,1028,16778240,16778240,0,65540,66560,0,16842756), _ = new Array(-2146402272,-2147450880,32768,1081376,1048576,32,-2146435040,-2147450848,-2147483616,-2146402272,-2146402304,-2147483648,-2147450880,1048576,32,-2146435040,1081344,1048608,-2147450848,0,-2147483648,32768,1081376,-2146435072,1048608,-2147483616,0,1081344,32800,-2146402304,-2146435072,32800,0,1081376,-2146435040,1048576,-2147450848,-2146435072,-2146402304,32768,-2146435072,-2147450880,32,-2146402272,1081376,32,32768,-2147483648,32800,-2146402304,1048576,-2147483616,1048608,-2147450848,-2147483616,1048608,1081344,0,-2147450880,32800,-2147483648,-2146435040,-2146402272,1081344), w = new Array(520,134349312,0,134348808,134218240,0,131592,134218240,131080,134217736,134217736,131072,134349320,131080,134348800,520,134217728,8,134349312,512,131584,134348800,134348808,131592,134218248,131584,131072,134218248,8,134349320,512,134217728,134349312,134217728,131080,520,131072,134349312,134218240,0,512,131080,134349320,134218240,134217736,512,0,134348808,134218248,131072,134217728,134349320,8,131592,131584,134217736,134348800,134218248,520,134348800,131592,8,134348808,131584), k = new Array(8396801,8321,8321,128,8396928,8388737,8388609,8193,0,8396800,8396800,8396929,129,0,8388736,8388609,1,8192,8388608,8396801,128,8388608,8193,8320,8388737,1,8320,8388736,8192,8396928,8396929,129,8388736,8388609,8396800,8396929,129,0,0,8396800,8320,8388736,8388737,1,8396801,8321,8321,128,8396929,129,1,8192,8388609,8193,8396928,8388737,8193,8320,8388608,8396801,128,8388608,8192,8396928), x = new Array(256,34078976,34078720,1107296512,524288,256,1073741824,34078720,1074266368,524288,33554688,1074266368,1107296512,1107820544,524544,1073741824,33554432,1074266112,1074266112,0,1073742080,1107820800,1107820800,33554688,1107820544,1073742080,0,1107296256,34078976,33554432,1107296256,524544,524288,1107296512,256,33554432,1073741824,34078720,1107296512,1074266368,33554688,1073741824,1107820544,34078976,1074266368,256,33554432,1107820544,1107820800,524544,1107296256,1107820800,34078720,0,1074266112,1107296256,524544,33554688,1073742080,524288,0,1074266112,34078976,1073742080), T = new Array(536870928,541065216,16384,541081616,541065216,16,541081616,4194304,536887296,4210704,4194304,536870928,4194320,536887296,536870912,16400,0,4194320,536887312,16384,4210688,536887312,16,541065232,541065232,0,4210704,541081600,16400,4210688,541081600,536870912,536887296,16,541065232,4210688,541081616,4194304,16400,536870928,4194304,536887296,536870912,16400,536870928,541081616,4210688,541065216,4210704,541081600,0,541065232,16,16384,541065216,4210704,16384,4194320,536887312,0,541081600,536870912,4194320,536887312), A = new Array(2097152,69206018,67110914,0,2048,67110914,2099202,69208064,69208066,2097152,0,67108866,2,67108864,69206018,2050,67110912,2099202,2097154,67110912,67108866,69206016,69208064,2097154,69206016,2048,2050,69208066,2099200,2,67108864,2099200,67108864,2099200,2097152,67110914,67110914,69206018,69206018,2,2097154,67108864,67110912,2097152,69208064,2050,2099202,69208064,2050,67108866,69208066,69206016,2099200,0,2,69208066,0,2099202,69206016,2048,67108866,67110912,2048,2097154), N = new Array(268439616,4096,262144,268701760,268435456,268439616,64,268435456,262208,268697600,268701760,266240,268701696,266304,4096,64,268697600,268435520,268439552,4160,266240,262208,268697664,268701696,4160,0,0,268697664,268435520,268439552,266304,262144,266304,262144,268701696,4096,64,268697664,4096,266304,268439552,64,268435520,268697600,268697664,268435456,262144,268439616,0,268701760,262208,268435520,268697600,268439552,268439616,0,268701760,266240,266240,4160,4160,262208,268435456,268701696), $ = function(e) {
for (var t, i, n, a = new Array(0,4,536870912,536870916,65536,65540,536936448,536936452,512,516,536871424,536871428,66048,66052,536936960,536936964), o = new Array(0,1,1048576,1048577,67108864,67108865,68157440,68157441,256,257,1048832,1048833,67109120,67109121,68157696,68157697), s = new Array(0,8,2048,2056,16777216,16777224,16779264,16779272,0,8,2048,2056,16777216,16777224,16779264,16779272), c = new Array(0,2097152,134217728,136314880,8192,2105344,134225920,136323072,131072,2228224,134348800,136445952,139264,2236416,134356992,136454144), r = new Array(0,262144,16,262160,0,262144,16,262160,4096,266240,4112,266256,4096,266240,4112,266256), l = new Array(0,1024,32,1056,0,1024,32,1056,33554432,33555456,33554464,33555488,33554432,33555456,33554464,33555488), d = new Array(0,268435456,524288,268959744,2,268435458,524290,268959746,0,268435456,524288,268959744,2,268435458,524290,268959746), u = new Array(0,65536,2048,67584,536870912,536936448,536872960,536938496,131072,196608,133120,198656,537001984,537067520,537004032,537069568), h = new Array(0,262144,0,262144,2,262146,2,262146,33554432,33816576,33554432,33816576,33554434,33816578,33554434,33816578), p = new Array(0,268435456,8,268435464,0,268435456,8,268435464,1024,268436480,1032,268436488,1024,268436480,1032,268436488), f = new Array(0,32,0,32,1048576,1048608,1048576,1048608,8192,8224,8192,8224,1056768,1056800,1056768,1056800), m = new Array(0,16777216,512,16777728,2097152,18874368,2097664,18874880,67108864,83886080,67109376,83886592,69206016,85983232,69206528,85983744), v = new Array(0,4096,134217728,134221824,524288,528384,134742016,134746112,16,4112,134217744,134221840,524304,528400,134742032,134746128), g = new Array(0,4,256,260,0,4,256,260,1,5,257,261,1,5,257,261), y = e.length > 8 ? 3 : 1, b = new Array(32 * y), C = new Array(0,0,1,1,1,1,1,1,0,1,1,1,1,1,1,0), _ = 0, w = 0, k = 0; k < y; k++) {
var x = e.charCodeAt(_++) << 24 | e.charCodeAt(_++) << 16 | e.charCodeAt(_++) << 8 | e.charCodeAt(_++)
, T = e.charCodeAt(_++) << 24 | e.charCodeAt(_++) << 16 | e.charCodeAt(_++) << 8 | e.charCodeAt(_++);
x ^= (n = 252645135 & (x >>> 4 ^ T)) << 4,
x ^= n = 65535 & ((T ^= n) >>> -16 ^ x),
x ^= (n = 858993459 & (x >>> 2 ^ (T ^= n << -16))) << 2,
x ^= n = 65535 & ((T ^= n) >>> -16 ^ x),
x ^= (n = 1431655765 & (x >>> 1 ^ (T ^= n << -16))) << 1,
x ^= n = 16711935 & ((T ^= n) >>> 8 ^ x),
n = (x ^= (n = 1431655765 & (x >>> 1 ^ (T ^= n << 8))) << 1) << 8 | (T ^= n) >>> 20 & 240,
x = T << 24 | T << 8 & 16711680 | T >>> 8 & 65280 | T >>> 24 & 240,
T = n;
for (var A = 0; A < C.length; A++)
C[A] ? (x = x << 2 | x >>> 26,
T = T << 2 | T >>> 26) : (x = x << 1 | x >>> 27,
T = T << 1 | T >>> 27),
T &= -15,
t = a[(x &= -15) >>> 28] | o[x >>> 24 & 15] | s[x >>> 20 & 15] | c[x >>> 16 & 15] | r[x >>> 12 & 15] | l[x >>> 8 & 15] | d[x >>> 4 & 15],
i = u[T >>> 28] | h[T >>> 24 & 15] | p[T >>> 20 & 15] | f[T >>> 16 & 15] | m[T >>> 12 & 15] | v[T >>> 8 & 15] | g[T >>> 4 & 15],
n = 65535 & (i >>> 16 ^ t),
b[w++] = t ^ n,
b[w++] = i ^ n << 16
}
return b
}(e), L = 0, S = t.length, z = 0, I = 32 == $.length ? 3 : 9;
p = 3 == I ? i ? new Array(0,32,2) : new Array(30,-2,-2) : i ? new Array(0,32,2,62,30,-2,64,96,2) : new Array(94,62,-2,32,64,2,30,-2,-2),
2 == o ? t += "        " : 1 == o ? i && (r = 8 - S % 8,
t += String.fromCharCode(r, r, r, r, r, r, r, r),
8 === r && (S += 8)) : o || (t += "\0\0\0\0\0\0\0\0");
var B = ""
, F = "";
for (1 == n && (f = a.charCodeAt(L++) << 24 | a.charCodeAt(L++) << 16 | a.charCodeAt(L++) << 8 | a.charCodeAt(L++),
v = a.charCodeAt(L++) << 24 | a.charCodeAt(L++) << 16 | a.charCodeAt(L++) << 8 | a.charCodeAt(L++),
L = 0); L < S; ) {
for (u = t.charCodeAt(L++) << 24 | t.charCodeAt(L++) << 16 | t.charCodeAt(L++) << 8 | t.charCodeAt(L++),
h = t.charCodeAt(L++) << 24 | t.charCodeAt(L++) << 16 | t.charCodeAt(L++) << 8 | t.charCodeAt(L++),
1 == n && (i ? (u ^= f,
h ^= v) : (m = f,
g = v,
f = u,
v = h)),
u ^= (r = 252645135 & (u >>> 4 ^ h)) << 4,
u ^= (r = 65535 & (u >>> 16 ^ (h ^= r))) << 16,
u ^= r = 858993459 & ((h ^= r) >>> 2 ^ u),
u ^= r = 16711935 & ((h ^= r << 2) >>> 8 ^ u),
u = (u ^= (r = 1431655765 & (u >>> 1 ^ (h ^= r << 8))) << 1) << 1 | u >>> 31,
h = (h ^= r) << 1 | h >>> 31,
c = 0; c < I; c += 3) {
for (y = p[c + 1],
b = p[c + 2],
s = p[c]; s != y; s += b)
l = h ^ $[s],
d = (h >>> 4 | h << 28) ^ $[s + 1],
r = u,
u = h,
h = r ^ (_[l >>> 24 & 63] | k[l >>> 16 & 63] | T[l >>> 8 & 63] | N[63 & l] | C[d >>> 24 & 63] | w[d >>> 16 & 63] | x[d >>> 8 & 63] | A[63 & d]);
r = u,
u = h,
h = r
}
h = h >>> 1 | h << 31,
h ^= r = 1431655765 & ((u = u >>> 1 | u << 31) >>> 1 ^ h),
h ^= (r = 16711935 & (h >>> 8 ^ (u ^= r << 1))) << 8,
h ^= (r = 858993459 & (h >>> 2 ^ (u ^= r))) << 2,
h ^= r = 65535 & ((u ^= r) >>> 16 ^ h),
h ^= r = 252645135 & ((u ^= r << 16) >>> 4 ^ h),
u ^= r << 4,
1 == n && (i ? (f = u,
v = h) : (u ^= m,
h ^= g)),
F += String.fromCharCode(u >>> 24, u >>> 16 & 255, u >>> 8 & 255, 255 & u, h >>> 24, h >>> 16 & 255, h >>> 8 & 255, 255 & h),
512 == (z += 8) && (B += F,
F = "",
z = 0)
}
if (B = (B += F).replace(/\0*$/g, ""),
!i) {
if (1 === o) {
var j = 0;
(S = B.length) && (j = B.charCodeAt(S - 1)),
j <= 8 && (B = B.substring(0, S - j))
}
B = decodeURIComponent(escape(B))
}
return B
}

function decode123(t) {
    var f = '/[\\t\\n\\f\\r ]/g'
    var c = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'
    var e = (t = String(t).replace(f, "")).length;
    e % 4 == 0 && (e = (t = t.replace(/==?$/, "")).length),
    (e % 4 == 1 || /[^+a-zA-Z0-9/]/.test(t)) && l("Invalid character: the string to be decoded is not correctly encoded.");
    for (var n, r, i = 0, o = "", a = -1; ++a < e; )
        r = c.indexOf(t.charAt(a)),
        n = i % 4 ? 64 * n + r : r,
        i++ % 4 && (o += String.fromCharCode(255 & n >> (-2 * i & 6)));
    return o
            }

// data = 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"
// data = 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"
// data = 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"
// data = "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"
// data = "nNA9ppE/np406Ts/ybkntCRppVt8OLsXsqontCKJGd4RL4DFOK4TSTxpgkabZx+YJgM/MOLxUNHRYpqTd4EyUfKL1x5EDzKBBaglbHp5YWo="
// data = "IKozUpAXge0UhrFhRFMQIq2Y3+D3mVHEgB1S4pV2naRpkMeKwxzZx009fY+lq9D253n+zTXn56DgM/1W00vBfKp3JriubUBeUW0MDFXDxxbURqpUbtUXhYixaRQ7DinrKaLr+RcO9Xvl8RRBealyGFDb28c0d1rKDtakHuFiBV5XmXCCIisvqAF2ffsQhtD1YGVoZocrg0Q10oU3XphD11tOx5+iSdySUBZUTdbg7kIeUYIjJGhcCSkpJeII+if1geRXgLH2BuW3anZ/Vjz35hwJYFVNL+BJo3vJI9QefPf66sYBwwyQ7qFTRYaYxHn6kRHbKehfssgcN6nrYrFsiQ=="
data = 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"
console.log(s(data))