📝 GraphMaxCut: the solution_x of graph set 14, 15, 22, 49, 55, 70

[Yonv1943]

the solution_x of graph_set 14, 15, 22, 49, 50, 55, 70

Graph	Score
g14	3029
g15	2995
g22	13167
g49	5712
g50	10012
g55	10017
g70	9358

SlnX14 denotes Solution X of Graph 14
"""base64 string""" # the socre of this solution.

SlnX14 = """
2dbChJAXfdo2GRp49ecgPjQwfRSIJqcfANlGZMwwAOZzjFXMXFcLYmRi27fT49J38CH8NUHFf8nLFzuUQh_LltgK6ofnt0P2NEwwUdURMPtFC8ZhlzftdQJj
MQ1aEyvV6RqIv8
"""  # 3029

SlnX15 = """
AqOThDGdbjuzr7FAoXiCBgbwlc3lsy9bo2vb$KWBJ51OOIjkGcCBKwsQtu0zrlerpyWzpoAdOyeeoSMb3SoG$DSge$TNnfvsDwiivHk3JNFWTdXtiea2IEAg
$hxSFRWpKuqFo
"""  # 2995

SlnX22 = """
15M1wnHOEdRzp8Zws3XH0KzUDip$CCuC0dhgj9onOtyhWEbpH6hTzmSNozsdeNqM6jW7mwIC_nfrh1TYS8uz8St1$gz4rvd$8H5IfzhOOg3bXg7VS$4GtxyJ
$YothXUyFlOmUzaRwD31BeyYHKZPejOTcvXfcXsL$m$utCAABFN77HQCYHq5eNgTY9hy8oSivuLd09Crlz5AKI7u7ZNBKZPtOEM$sA00vFU9QmkX7e6JzPS3
32fItphr4PhDkGBFADHgVNBREHqPMO5BeIYPAah8chsT2ZesqvwFF2PE0zUbyNJY$2iYA1RCZWVxbPo1CqfgQaE5ddDWrF
"""  # 13167

SlnX49 = """
gggggrL9LLLLLggL9LLLLKgjQggggfLMhQggggjLAbLLLLQgbQLLLLLAhLgggggLLhMgggghLQhLLLLLgjQbLLLLIgLLAggggbALggggggggggrLLLLMfLLL
LLLLLLKgggggbQgggggggggfLLLLLgLLLLLLLLLLQgggggsfKggggggggrLLLLLggjLLLLLLLKggggggLLAgggggggfLLLLLMghLLLLLLLLQgggggbLIgggg
ggggrLLLLLggrLArLLLLLgggggfLIghLKggLghLLLLLQhLLQgjLIhLIgggggLIggLLQgrKgrLLLLLhLLMggLMgjKggggfQgggjLMgbLQjLLLLQLLLLIgjKgg
sgggggMggggfLQjLLLLLLLIbLLLLQgrAgggggggrgggggLKfLLLLLLRKfLLLLMgfQggggghMjQggggbLQLLLLLLQbALLLLLAgsgggggfLgMgggghLKbLLLLL
AfKbLLLLIgjgggggjLQj
"""  # 5712

SlnX50 = """
3$yNJNKF0O_oM3vugH093O1fuLz3oC8kX4Gmjj7TtPTrL4juGHoRVsD7OHNjVZj6BjbU5pIckCFn98vC4ZEUohXPoU6ENeshvFtzxZK$D_T0ZFRvAgjxxsfD
Z__hc$C8$kzZDo9JPfxDh7KCbCn5pTuGX9pNnC6XTn57C5FqEl26knwUxd6Y7GfF5wqJvcHRA3Z_yoPuBo8sw3K7m6PFtwo1czNu7drNj6te66N$qhRONsUE
qXjOu9pCTFa$by9AfSTIMjiOxkj2I1klq3gKeS7Ibv4vQn6kVx4uUU0Gt083Wt1Go_2E7pxBzrEFEqz3o3KPIwjxj78ZcGuaCfjzuMYFEYIafBBW9cGItE0S
ZwXrCvdjLc46j5xHCwbAyoEjeiq4gwxEbufV49dDyN981WqDzb5$QD9tYneyc8Ow7$5LM04fNrCceq2T1qUitZmQNwGWVYZVCObLLeHzjxZf16NeKePyA3tO
byOPWuKEpX2VuwCGl_kgGxUQHxu9Lj83uMjsw99YNrwHbXYu5vXTObMeLb$lwg0h4g34bg9hnw4KCSXhqwHNPwJqUqbPolanMUIY4gGHAgJesJZPDp2$Pi7I
5ihjuBfCjs9jZKZ$yvvR0zvS4ZihdPfJ3nSfiRUd$yn_BAIOsUPFA912ye1eSlAFEAzefeOG7LZlgexCIfy9bRmMpuGrqrqsb$8THT_Io2biNsT5FhcBgIKB
TnTiubOn$noF4o0Rq96SeKBu6mgc$B75zVYvegCYrLdSVfYEJlqn9okrC8MttD0YtdBWH27BWIYaQk2LUrV0jb4$$pqlHo9xoWlXusOw0qWtN$Hcty
"""  # 10012

SlnX55 = """
2zIr9xJvYT_ZNOrNX06oRyw2eSmGJ825qGQ5V5LClEsnGzndFFLMTwfyO4ra4xuFSLXGHJErt$SxrPwawntywfNP9nfX7TX4DKs8c9wUfkVvWRMtmPjbWG7o
RBppqloq2mwguPhW$QL$V64WcxyRR9SYldF7OEr4Qb2hsS2p$4Lp2cUUYyhsFSRJy97JM1OUxgSl26B2$ZS2z9_gOGH1uicbuQT6dyGRNWwY6NqAvbYX4u_T
aneOixd4t0DcXWtEwTR8UOcGc$5d0ZzahbTb7xIyh3HWYTG_mjutsfDS10ceGHrGLPny0eQJx009AZLpjHjASozZcDmun6lmQOV$zwYtdwTsXga3Q$es0DbJ
HGsRh5eLLKQa5iFLMc406y8bQdOrdJUPWXOSgZzyXPRcSJD2e1OED7VmB5C_54VCvden70073UJB0nHWyji4Zpdsnuaz6stg2Vv99AJSepe2FHcAa1bu7FOV
Ypm_v278KbF5Hhf_vXhnAlpXcbEYq0oFKnn7Oxg6TWZX5Hn_4_szADYWZ_uT6PqNBCBvXCgZ_$orpSOx8Sw4gh9IsnWy9aPagzaHoEncwIlgGkTpqvjESi55
bvNmRhLaI$4KAaUImWPZzRn6oZNbeOb7Al9qbak5c0Q9V7eTsbdnftfShP8lJAMRQkUnVALIgxdPCSGtvWoTscoq7mzosvsoQU1ZoPXMoACIogh4yc6hcvVz
84b1qrwCAsjBYqJVnn1kdSpRP7gsiYyxQK8yJkZvr80nSCoLodqsbytQm$32RgAC2_AMfFNwVqFOTIhGMjSqalW5LvgeVHS8z0N03o8amunh4wmsfU

"""  # 10017
SlnX70 = """
3AcGoeUhKdVU72ZiLyfxgUIhgNQQdEfI569nHq$V5IB8ZsZiZY63iDDSZ6VJsToTMwXTCurzbeCHfyYL_CfRGW1vej_thDlqh$Ee7R5bcXVLISB_MiL6dOyJ
KWhBoU1YXPKuqol2GvULXW105Mh7XJEnQZXOh_NUfbRU2dtM$BRWf17EBl3VyhzOO_yGxi5YRd$dJihU5rRvYLhghN4jyEQZVEp$sxv$5w7vLHfyUrx3u4jO
knlNNiBq9B5p3opgCGog8w38H9SNoUZDjc$XDAit$A8MpKF3ouZqtS0bs46RaY7ZetlJJtlnUC5YKSeafaApJD$mY54ouIdSmH3pl30dsn9_Z3c0XdJ_$60Y
Hm3lf1Z$cYXDSCd6UlcqWGwPkAX7412M_i77J3YopwgsgvlJeyfGPDn84UmP1U9420mp3GiCGj1UupE7ccZc4hTczRs41FGvmi3lcu5IJYmpBAYQYmX0Thqz
PqSQT06_eLTSamhfCwFya11kc4hh1aUbbcpiv5XQqdWf8SvDt6UOtN__mYniq5g5YywE05WBWzio6bRZUr0mfJX7p6Nn34AcQQ_zbSLVcsZLENUyM29RKfkw
E1b43g04$mq0BgeZwVM5HMtt3mI$Q15CMOEriM19KD3I$Wx48af6oJqyN69UpyYy1uSuP64L0Rom3DdVOrDAw7uSFOt0WNus_$ZvSQzVEFLdQb0d1yNC9Lu7
AZWerkE$JrhU1Hfa2W$WyGwu6bpT_a3ZKsBEhUH6GCA3P45DrYrd57K8z$lE88iz1Se9ICPg2sxN9ignqQyjvSlKWQWe_eXSigDOBcOQZC9DX_iulwo2aI5A
uMRrvdjhmjef8EMJZFhkLp2u5gv1Gx3ISl7A5rxd5NvQ372XXJTYi0ZYXr8mAVRO826_tIs27Akoar1Kjy2SjRlrK1zCSq2XroIYV82voeoGGZubHjp1A2Ov
eS_kpXyV5cWCNhVomaD$knBhbL7Y6lPf5UkLfiz48PquooOh7aL6lsa3d7c0cwoRksn6h8RGcT9vvKDc01aIP5q6GEgAR7Suey_iE2HMc2Fv_Zr4ZYrm3MTu
4YHS1DN9g6GJsDCvwsp9LqYayT2wQA$H54I4edj7LrFb7ZlJjbVF57StGESAggUnldR6vsGvUkyRMHHjp3l9f29oIzf6QKztQHTj59uEqFDoypgm4ZvMlFub
z1rHQ4WSytr3OnZta42Au5Y7xatFdbl74dtyMJlXwVM9nNypB6VR_6fAkf_8phP7AtjEXzo0_4tkN59LphlPaQq2pLRqsNxskI9z2Q5TdoFmeb1xWkICPS4o
i5AB4LozUwz80VpPo4LDtVGIhs6jYME31mO0k6FoVh2i8gLRmL0wvqsBncNiaRNDahR5z1xuuGSERZQW1Gh98J7PBsYeVGsejp316q7yTPWR7nBnPQinyv1d
ULnnlmDdG8xSq6g1slTFR16ngzfCOgMNRdjbmpo8O1a9jpIJ8nrCYxiv$cFNedJJ3eRktLMXQ8QvqG_b7InRUfpmyYEFeR8bCvZTg7wZ_RgRRtP2$D3jApeD
sVKJ0hVuqQRNI3bWuEZNVPC_BhuQjsTMrKSQSH6YZCp7d5uRBpJbHI$fQT7s8RCkW5zA6GcY0Qt3YJS5j8mH918L28Os9$rK9MYIVlAMd7_
"""  # 9358

check the solution_x

def check_sln_x():
    graph_name, sln_x = 'gest_14', SlnX14

    env = GraphMaxCutEnv(graph_name=graph_name)
    best_sln_x = env.str_to_bool(sln_x)
    best_score = env.get_scores(best_sln_x.unsqueeze(0)).squeeze(0)
    print(f"NumNodes {env.num_nodes}  NumEdges {env.num_edges}")
    print(f"score {best_score}  sln_x \n{env.bool_to_str(best_sln_x)}")

convert the solustion_x from base64 string to tensor bool:

graph_name, sln_x = 'gest_14', SlnX14
env = GraphMaxCutEnv(graph_name=graph_name)
best_sln_x = env.str_to_bool(sln_x)

def write_result(result: Union[Tensor, List, np.array], filename: str = 'result/result.txt'):
    # assert len(result.shape) == 1
    # N = result.shape[0]
    num_nodes = len(result)
    directory = filename.split('/')[0]
    if not os.path.exists(directory):
        os.mkdir(directory)
    with open(filename, 'w', encoding="UTF-8") as file:
        for node in range(num_nodes):
            file.write(f'{node + 1} {int(result[node] + 1)}\n')