{"id":34803,"date":"2023-07-19T07:46:12","date_gmt":"2023-07-12T11:45:06","guid":{"rendered":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8docker%e8%bf%90%e8%a1%8copenjij%e6%95%99%e7%a8%8b%e3%80%82\/"},"modified":"2024-04-30T14:18:41","modified_gmt":"2024-04-30T06:18:41","slug":"%e4%bd%bf%e7%94%a8docker%e8%bf%90%e8%a1%8copenjij%e6%95%99%e7%a8%8b%e3%80%82","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/zh\/blog\/%e4%bd%bf%e7%94%a8docker%e8%bf%90%e8%a1%8copenjij%e6%95%99%e7%a8%8b%e3%80%82\/","title":{"rendered":"\u4f7f\u7528Docker\u8fd0\u884cOpenjij\u6559\u7a0b"},"content":{"rendered":"

\u6267\u884c\u6b65\u9aa4 (sh\u00ed ji\u00e9)<\/h1>\n

\u542f\u52a8Docker\u3002\u5c3d\u7ba1\u5f53\u524d\u662f\u5728macOS\u4e0a\u8fdb\u884c\uff0c\u4f46\u5728Windows\u548cLinux\u4e0a\uff0c\u53ea\u9700\u5c06\/Users\/administrator\/openjij\/work\u66f4\u6539\u4e3a\u5b9e\u9645\u5b58\u5728\u4e8e\u4e3b\u673a\u4e0a\u7684\u6587\u4ef6\u5939\u540d\u79f0\u5373\u53ef\u3002<\/p>\n

\u9996\u5148\u5c06\u7b2c\u4e00\u7ae0\u7684\u6267\u884c\u7ed3\u679c\u6ce8\u518c\u5230Docker Hub\u3002
\n\u63a5\u4e0b\u6765\u5e94\u8be5\u80fd\u591f\u901a\u8fc7\u4ee5\u4e0b\u6267\u884c\u6b65\u9aa4\u6765\u6267\u884c\u3002\u4f46\u662f\u8bf7\u786e\u4fdd\u4f7f\u7528\u7684-p\u540e\u9762\u7684\u7aef\u53e3\u53f7\u4e0d\u4f1a\u4e0e\u5176\u4ed6Docker\u7b49\u7a0b\u5e8f\u4f7f\u7528\u7684\u7aef\u53e3\u53f7\u51b2\u7a81\u3002<\/p>\n

$<\/span> docker run -p<\/span> 8080:8080 -v<\/span> \/Users\/administrator\/openjij\/work:\/openjij\/work -it<\/span> kaizenjapan\/openjij-ch1-ubuntu \/bin\/bash \r\n<\/code><\/pre>\n
\u53ea\u8981\u7528\u6237\u540d\u4e3aAdministrator\uff0c\u5e76\u4e14\u5df2\u7ecf\u521b\u5efa\u4e86openjij\/work\u6587\u4ef6\u5939\u3002<\/p>\n
Docker\u63d0\u4f9b\u4e86\u4e00\u4e2a\u5e73\u53f0\uff0c<\/p>\n
root@f85c350c3f1e:\/# cd openjij\r\nroot@f85c350c3f1e:\/openjij# ls\r\nch1  work\r\nroot@f85c350c3f1e:\/openjij# ls ch1\r\nch1.png  ising.py  openjij-ch1g.py  openjij-ch1gu.py\r\nroot@f85c350c3f1e:\/openjij# cd ch1\r\nroot@f85c350c3f1e:\/openjij\/ch1# python3 openjij-ch1gu.py\r\n<\/code><\/pre>\n
\u53ef\u4ee5\u5728\u4e2d\u56fd\u8fdb\u884c\u64cd\u4f5c\u3002<\/p>\n
# cp ch1.png ..\/work\r\n<\/code><\/pre>\n
\u5982\u679c\u8fd9\u6837\u505a\uff0c\u5c31\u53ef\u4ee5\u5c06png\u6587\u4ef6\u590d\u5236\u5230\u4e3b\u673a\u7aef\u7684\u5de5\u4f5c\u6587\u4ef6\u4e2d\u3002<\/p>\n
\u5728\u4f7f\u7528 Docker \u8fdb\u884c Openjij \u7684 \u8ffd\u8bd5\u540e\uff0c\u6309\u7167\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u64cd\u4f5c\u3002<\/p>\n
#<\/span> pip install <\/span>matplotlib\r\n<\/code><\/pre>\n
OpenJij\u6559\u7a0b
\nhttps:\/\/openjij.github.io\/OpenJijTutorial\/_build\/html\/zh\/index.html<\/p>\n
\u7b2c\u4e00\u7ae0<\/p>\n
import<\/span> openjij<\/span> as<\/span> oj<\/span>\r\n#https:\/\/openjij.github.io\/OpenJijTutorial\/_build\/html\/ja\/index.html\r\n<\/span>import<\/span> numpy<\/span> as<\/span> np<\/span>\r\nimport<\/span> matplotlib.pyplot<\/span> as<\/span> plt<\/span>\r\n\r\n# \u554f\u984c\u3092\u8868\u3059\u7e26\u78c1\u5834\u3068\u76f8\u4e92\u4f5c\u7528\u3092\u4f5c\u308a\u307e\u3059\u3002OpenJij\u3067\u306f\u8f9e\u66f8\u578b\u3067\u554f\u984c\u3092\u53d7\u3051\u4ed8\u3051\u307e\u3059\u3002\r\n<\/span>N<\/span> =<\/span> 5<\/span>\r\nh<\/span> =<\/span> {<\/span>i<\/span>:<\/span> -<\/span>1<\/span> for<\/span> i<\/span> in<\/span> range<\/span>(<\/span>N<\/span>)}<\/span>\r\nJ<\/span> =<\/span> {(<\/span>i<\/span>,<\/span> j<\/span>):<\/span> -<\/span>1<\/span> for<\/span> i<\/span> in<\/span> range<\/span>(<\/span>N<\/span>)<\/span> for<\/span> j<\/span> in<\/span> range<\/span>(<\/span>i<\/span>+<\/span>1<\/span>,<\/span> N<\/span>)}<\/span>\r\n\r\nprint<\/span>(<\/span>'<\/span>h_i: <\/span>'<\/span>,<\/span> h<\/span>)<\/span>\r\nprint<\/span>(<\/span>'<\/span>Jij: <\/span>'<\/span>,<\/span> J<\/span>)<\/span>\r\n\r\n# \u307e\u305a\u554f\u984c\u3092\u89e3\u3044\u3066\u304f\u308c\u308bSampler\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u308a\u307e\u3059\u3002\u3053\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u9078\u629e\u3067\u554f\u984c\u3092\u89e3\u304f\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3092\u9078\u629e\u3067\u304d\u307e\u3059\u3002\r\n<\/span>sampler<\/span> =<\/span> oj<\/span>.<\/span>SASampler<\/span>()<\/span>\r\n# sampler\u306e\u30e1\u30bd\u30c3\u30c9\u306b\u554f\u984c(h, J)\u3092\u6295\u3052\u3066\u554f\u984c\u3092\u89e3\u304d\u307e\u3059\u3002\r\n<\/span>response<\/span> =<\/span> sampler<\/span>.<\/span>sample_ising<\/span>(<\/span>h<\/span>,<\/span> J<\/span>)<\/span>\r\n\r\n# \u8a08\u7b97\u3057\u305f\u7d50\u679c(\u72b6\u614b)\u306f result.states \u306b\u5165\u3063\u3066\u3044\u307e\u3059\u3002\r\n<\/span>print<\/span>(<\/span>response<\/span>.<\/span>states<\/span>)<\/span>\r\n\r\n# \u3082\u3057\u304f\u306f\u6dfb\u5b57\u4ed8\u304d\u3067\u307f\u308b\u306b\u306f samples \u3092\u898b\u307e\u3059\u3002\r\n<\/span>print<\/span>(<\/span>response<\/span>.<\/span>samples<\/span>)<\/span>\r\n\r\n# \u5b9f\u306f h, J \u306e\u6dfb\u5b57\u3092\u793a\u3059\u3001\u8f9e\u66f8\u306ekey\u306f\u6570\u5024\u4ee5\u5916\u3082\u6271\u3048\u307e\u3059\u3002\r\n<\/span>h<\/span> =<\/span> {<\/span>'<\/span>a<\/span>'<\/span>:<\/span> -<\/span>1<\/span>,<\/span> '<\/span>b<\/span>'<\/span>:<\/span> -<\/span>1<\/span>}<\/span>\r\nJ<\/span> =<\/span> {(<\/span>'<\/span>a<\/span>'<\/span>,<\/span> '<\/span>b<\/span>'<\/span>):<\/span> -<\/span>1<\/span>,<\/span> (<\/span>'<\/span>b<\/span>'<\/span>,<\/span> '<\/span>c<\/span>'<\/span>):<\/span> 1<\/span>}<\/span>\r\nsampler<\/span> =<\/span> oj<\/span>.<\/span>SASampler<\/span>(<\/span>iteration<\/span>=<\/span>10<\/span>)<\/span>  # 10\u56de SA\u3067\u89e3\u3044\u3066\u307f\u308b. iteration \u3068\u3044\u3046\u5f15\u6570\u306710\u56de\u5206\u4e00\u6c17\u306b\u89e3\u304f\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\r\n<\/span>response<\/span> =<\/span> sampler<\/span>.<\/span>sample_ising<\/span>(<\/span>h<\/span>,<\/span> J<\/span>)<\/span>\r\nprint<\/span>(<\/span>response<\/span>.<\/span>states<\/span>)<\/span>\r\n\r\nprint<\/span>(<\/span>response<\/span>.<\/span>energies<\/span>)<\/span>\r\n\r\nprint<\/span>(<\/span>response<\/span>.<\/span>indices<\/span>)<\/span>\r\n\r\nprint<\/span>(<\/span>response<\/span>.<\/span>samples<\/span>)<\/span>\r\n\r\nprint<\/span>(<\/span>response<\/span>.<\/span>min_samples<\/span>)<\/span>\r\n\r\n# Q_ij \u3092\u8f9e\u66f8\u578b\u3067\u3064\u304f\u308a\u307e\u3059\u3002\r\n<\/span>Q<\/span> =<\/span> {(<\/span>0<\/span>,<\/span> 0<\/span>):<\/span> -<\/span>1<\/span>,<\/span> (<\/span>0<\/span>,<\/span> 1<\/span>):<\/span> -<\/span>1<\/span>,<\/span> (<\/span>1<\/span>,<\/span> 2<\/span>):<\/span> 1<\/span>,<\/span> (<\/span>2<\/span>,<\/span> 2<\/span>):<\/span> 1<\/span>}<\/span>\r\nsampler<\/span> =<\/span> oj<\/span>.<\/span>SASampler<\/span>(<\/span>iteration<\/span>=<\/span>3<\/span>)<\/span>\r\n# QUBO\u3092\u89e3\u304f\u6642\u306f .sample_qubo \u3092\u4f7f\u3044\u307e\u3057\u3087\u3046\r\n<\/span>response<\/span> =<\/span> sampler<\/span>.<\/span>sample_qubo<\/span>(<\/span>Q<\/span>)<\/span>\r\nprint<\/span>(<\/span>response<\/span>.<\/span>states<\/span>)<\/span>\r\n\r\nN<\/span> =<\/span> 50<\/span>\r\n# \u30e9\u30f3\u30c0\u30e0\u306bQij \u3092\u4f5c\u308b\r\n<\/span>import<\/span> random<\/span>\r\nQ<\/span> =<\/span> {(<\/span>i<\/span>,<\/span> j<\/span>):<\/span> random<\/span>.<\/span>uniform<\/span>(<\/span>-<\/span>1<\/span>,<\/span> 1<\/span>)<\/span> for<\/span> i<\/span> in<\/span> range<\/span>(<\/span>N<\/span>)<\/span> for<\/span> j<\/span> in<\/span> range<\/span>(<\/span>i<\/span>+<\/span>1<\/span>,<\/span> N<\/span>)}<\/span>\r\n\r\n# OpenJij\u3067\u89e3\u304f\r\n<\/span>sampler<\/span> =<\/span> oj<\/span>.<\/span>SASampler<\/span>(<\/span>iteration<\/span>=<\/span>100<\/span>)<\/span>\r\nresponse<\/span> =<\/span> sampler<\/span>.<\/span>sample_qubo<\/span>(<\/span>Q<\/span>)<\/span>\r\n\r\n# \u30a8\u30cd\u30eb\u30ae\u30fc\u3092\u5c11\u3057\u307f\u3066\u307f\u307e\u3059\u3002\r\n<\/span>print<\/span>(<\/span>response<\/span>.<\/span>energies<\/span>[:<\/span>5<\/span>])<\/span>\r\n\r\n\r\nplt<\/span>.<\/span>hist<\/span>(<\/span>response<\/span>.<\/span>energies<\/span>,<\/span> bins<\/span>=<\/span>15<\/span>)<\/span>\r\nplt<\/span>.<\/span>xlabel<\/span>(<\/span>'<\/span>Energy<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>15<\/span>)<\/span>\r\nplt<\/span>.<\/span>ylabel<\/span>(<\/span>'<\/span>Frequency<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>15<\/span>)<\/span>\r\nplt<\/span>.<\/span>show<\/span>()<\/span>\r\n\r\nmin_samples<\/span> =<\/span> response<\/span>.<\/span>min_samples<\/span>\r\n\r\nprint<\/span>(<\/span>min_samples<\/span>)<\/span>\r\n<\/code><\/pre>\n
\u52a0\u4e86\u6253\u5370\u51fd\u6570\u7684\u4ee3\u7801\uff0c\u4ee5\u4fbf\u5728Python\u4e2d\u6267\u884c\u5e76\u8f93\u51fa\u7ed3\u679c\u3002\u5f53\u6267\u884c\u65f6<\/p>\n
# python3 openjij-ch1.py\r\nh_i:  {0: -1, 1: -1, 2: -1, 3: -1, 4: -1}\r\nJij:  {(0, 1): -1, (0, 2): -1, (0, 3): -1, (0, 4): -1, (1, 2): -1, (1, 3): -1, (1, 4): -1, (2, 3): -1, (2, 4): -1, (3, 4): -1}\r\n[[1, 1, 1, 1, 1]]\r\n[{0: 1, 1: 1, 2: 1, 3: 1, 4: 1}]\r\n[[1, 1, -1], [1, 1, -1], [1, 1, -1], [1, 1, -1], [1, 1, -1], [1, 1, -1], [1, 1, -1], [1, 1, -1], [1, 1, -1], [1, 1, -1]]\r\n[-4.0, -4.0, -4.0, -4.0, -4.0, -4.0, -4.0, -4.0, -4.0, -4.0]\r\n['a', 'b', 'c']\r\n[{'a': 1, 'b': 1, 'c': -1}, {'a': 1, 'b': 1, 'c': -1}, {'a': 1, 'b': 1, 'c': -1}, {'a': 1, 'b': 1, 'c': -1}, {'a': 1, 'b': 1, 'c': -1}, {'a': 1, 'b': 1, 'c': -1}, {'a': 1, 'b': 1, 'c': -1}, {'a': 1, 'b': 1, 'c': -1}, {'a': 1, 'b': 1, 'c': -1}, {'a': 1, 'b': 1, 'c': -1}]\r\n{'min_states': array([[ 1,  1, -1]]), 'num_occurrences': array([10]), 'min_energy': -4.0}\r\n[[1, 1, 0], [1, 1, 0], [1, 1, 0]]\r\n[-61.12030947336661, -61.12030947336661, -61.12030947336661, -61.12030947336661, -61.12030947336661]\r\n{'min_states': array([[1, 0, 1, 1, 0, 1, 0, 0, 1, 0, 1, 1, 0, 1, 1, 1, 0, 0, 1, 0, 0, 0,\r\n        1, 0, 1, 1, 1, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0, 0,\r\n        1, 0, 1, 1, 1, 1]]), 'num_occurrences': array([68]), 'min_energy': -61.12030947336661}\r\n<\/code><\/pre>\n
\u56fe\u8868\u6ca1\u6709\u663e\u793a\u51fa\u6765\u3002\u7a0d\u5fae\u4fee\u6539\u4e00\u4e0b\u3002<\/p>\n
\u4f7f\u7528Docker\u8fd0\u884cAnaconda\u4e2d\u7684\u673a\u5668\u5b66\u4e60(1)\uff0c\u5e76\u9605\u8bfb\u300a\u4ece\u96f6\u5f00\u59cb\u7684\u6df1\u5ea6\u5b66\u4e60 – Python\u5b9e\u73b0\u6df1\u5ea6\u5b66\u4e60\u7684\u7406\u8bba\u4e0e\u5b9e\u8df5\u300b\u4e00\u4e66\uff0c\u4f5c\u8005\u662f\u658e\u85e4\u5eb7\u6bc5\u3002\u8bf7\u8bbf\u95ee\u4ee5\u4e0b\u94fe\u63a5\uff1ahttps:\/\/qiita.com\/kaizen_nagoya\/items\/a7e94ef6dca128d035ab<\/p>\n
\u6211\u5df2\u5c06\u5176\u8f93\u51fa\u5230\u6587\u4ef6\u4e2d\u3002\u5982\u679c\u60f3\u8981\u505a\u540c\u6837\u7684\u4e8b\u60c5\uff0c<\/p>\n
\u7f16\u8f91python\u6587\u4ef6<\/p>\n
    PNG\u6587\u4ef6\u8f93\u51fa\u7684\u5492\u8bed\uff1a\u8ffd\u52a0\u4e24\u884c<\/ol>\n
    import<\/span> matplotlib<\/span> as<\/span> mpl<\/span>\r\nmpl<\/span>.<\/span>use<\/span>(<\/span>'<\/span>Agg<\/span>'<\/span>)<\/span>\r\n<\/code><\/pre>\n
      \u6587\u4ef6\u8f93\u51fa\u64cd\u4f5c\uff1a\u8ffd\u52a0\u4e24\u884c\uff0c\u6ce8\u91ca\u5316\u4e00\u884c\u3002<\/ol>\n
      fig<\/span> =<\/span> plt<\/span>.<\/span>figure<\/span>()<\/span>\r\n#plt.show()\r\n<\/span>fig<\/span>.<\/span>savefig<\/span>(<\/span>'<\/span>ch1.png<\/span>'<\/span>)<\/span>\r\n<\/code><\/pre>\n
      \u5c06\u7ed3\u679c\u8f93\u51fa\u4e3ach1.png\u6587\u4ef6\u3002<\/p>\n
      \"ch1.png\"<\/div>\n
      \u95ee\u9898\u5728\u4e8e\u5b57\u7b26\u7f16\u7801\u3002 y\u00fa .)<\/p>\n
      \u4f7f\u7528docker\u5728https:\/\/qiita.com\/kaizen_nagoya\/items\/319672853519990cee42\u4e2d\u8bb0\u5f55\u7684\u65b9\u6cd5\u5c06\u91cf\u5b50\u8ba1\u7b97\u673aarXiv\u53d1\u8868\u7684\u897f\u68ee\u79c0\u7a14\u8bba\u6587\u8f6c\u6362\u3002<\/p>\n
      #<\/span> apt -y<\/span> install <\/span>n\/f\r\n#<\/span> nkf -w<\/span> openjij-ch1g.py ><\/span> openjij-ch1gu.py\r\n<\/code><\/pre>\n
      \u7b2c\u4e8c\u7ae0<\/p>\n
      import<\/span> random<\/span>\r\nimport<\/span> numpy<\/span> as<\/span> np<\/span>\r\nimport<\/span> matplotlib.pyplot<\/span> as<\/span> plt<\/span>\r\nimport<\/span> openjij<\/span> as<\/span> oj<\/span>\r\n\r\n# \u53cd\u5f37\u78c1\u60271\u6b21\u5143\u30a4\u30b8\u30f3\u30b0\u30e2\u30c7\u30eb \u3092\u4f5c\u308b.\r\n<\/span>N<\/span> =<\/span> 30<\/span>\r\nh<\/span> =<\/span> {<\/span>0<\/span>:<\/span> -<\/span>10<\/span>}<\/span>\r\nJ<\/span> =<\/span> {(<\/span>i<\/span>,<\/span> i<\/span>+<\/span>1<\/span>):<\/span> 1<\/span> for<\/span> i<\/span> in<\/span> range<\/span>(<\/span>N<\/span>-<\/span>1<\/span>)}<\/span>\r\n\r\n# \u6700\u9069\u89e3\r\n<\/span>correct_state<\/span> =<\/span> [(<\/span>-<\/span>1<\/span>)<\/span>**<\/span>i<\/span> for<\/span> i<\/span> in<\/span> range<\/span>(<\/span>N<\/span>)]<\/span>\r\n\r\n# TTS \u3092\u8a08\u7b97\u3059\u308b\u306e\u306b\u5fc5\u8981\u306ap^R\r\n<\/span>pR<\/span> =<\/span> 0.99<\/span>\r\n\r\n# Sampler\u306e\u5f15\u6570\u306estep_num \u3068\u3044\u3046\u30d1\u30e9\u30e1\u30fc\u30bf\u306b\u6e21\u3059\u30ea\u30b9\u30c8(step_num_list)\r\n# step_num \u306f\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u4e2d\u306e\u30d1\u30e9\u30e1\u30fc\u30bf(\u6e29\u5ea6, \u6a2a\u78c1\u5834)\u3092\u4e0b\u3052\u3066\u3044\u304f\u3068\u304d\u306e\u5206\u5272\u6570\r\n# \u306a\u306e\u3067\u5897\u3084\u305b\u3070\u5897\u3084\u3059\u307b\u3069\u3086\u3063\u304f\u308a\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u3059\u308b\u3053\u3068\u306b\u306a\u3063\u3066\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u6642\u9593\u304c\u4f38\u3073\u308b\u3002\r\n<\/span>step_num_list<\/span> =<\/span> [<\/span>10<\/span>,<\/span> 20<\/span>,<\/span> 30<\/span>,<\/span> 40<\/span>]<\/span>\r\n\r\n# \u5404\u8a08\u7b97\u6642\u9593\u306b\u5bfe\u3059\u308bTTS\u3092\u683c\u7d0d\u3057\u3066\u304a\u304f\u30ea\u30b9\u30c8\r\n<\/span>TTS_list<\/span> =<\/span> []<\/span>\r\ntau_list<\/span> =<\/span> []<\/span>  # \u8a08\u7b97\u6642\u9593\u3092\u683c\u7d0d\u3057\u3066\u304a\u304f\u30ea\u30b9\u30c8\r\n<\/span>\r\niteration<\/span> =<\/span> 2000<\/span>  # \u78ba\u7387\u3092\u8a08\u7b97\u3059\u308b\u305f\u3081\u306b1\u56de\u306e\u30a2\u30cb\u30fc\u30ea\u30f3\u30b0\u3092\u884c\u3046\u56de\u6570\r\n<\/span>\r\nfor<\/span> step_num<\/span> in<\/span> step_num_list<\/span>:<\/span>\r\n    # beta_max \u3068\u3000beta_min \u306fSA\u306e\u30a2\u30eb\u30b4\u30ea\u30ba\u30e0\u3067\u4f7f\u3046\u30d1\u30e9\u30e1\u30fc\u30bf.\r\n<\/span>    # \u78ba\u7387p_s\u3092\u8a08\u7b97\u3059\u308b\u305f\u3081\u306b500\u56de\u8a08\u7b97\u3059\u308b\r\n<\/span>    sampler<\/span> =<\/span> oj<\/span>.<\/span>SASampler<\/span>(<\/span>beta_max<\/span>=<\/span>10.0<\/span>,<\/span> beta_min<\/span>=<\/span>0.01<\/span>,<\/span> step_num<\/span>=<\/span>step_num<\/span>,<\/span> iteration<\/span>=<\/span>iteration<\/span>)<\/span>\r\n\r\n    response<\/span> =<\/span> sampler<\/span>.<\/span>sample_ising<\/span>(<\/span>h<\/span>,<\/span> J<\/span>)<\/span>\r\n    # \u8fd4\u3063\u3066\u304d\u305f\u89e3\u3067\u3042\u3063\u3066\u3044\u308b\u72b6\u614b\u306e\u6570\u3092\u6570\u3048\u3066\u6700\u9069\u89e3\u3092\u5f97\u305f\u78ba\u7387\u3092\u8a08\u7b97\u3059\u308b\u3002\r\n<\/span>    tau<\/span> =<\/span> response<\/span>.<\/span>info<\/span>[<\/span>'<\/span>execution_time<\/span>'<\/span>]<\/span>\r\n    ps<\/span> =<\/span> sum<\/span>([<\/span>1<\/span> if<\/span> state<\/span> ==<\/span> correct_state<\/span> else<\/span> 0<\/span> for<\/span> state<\/span> in<\/span> response<\/span>.<\/span>states<\/span>])<\/span>\/<\/span>iteration<\/span>\r\n\r\n    # ps=0\u3060\u3068TTS\u304c\u7121\u9650\u5927\u306b\u306a\u3063\u3066\u3057\u307e\u3046\u306e\u3067\u305d\u3053\u306f\u56de\u907f\r\n<\/span>    if<\/span> ps<\/span> ==<\/span> 0<\/span>:<\/span>\r\n        continue<\/span>\r\n\r\n    # TTS\u3092\u8a08\u7b97\u3059\u308b\r\n<\/span>    TTS_list<\/span>.<\/span>append<\/span>(<\/span>np<\/span>.<\/span>log<\/span>(<\/span>1<\/span>-<\/span>pR<\/span>)<\/span>\/<\/span>np<\/span>.<\/span>log<\/span>(<\/span>1<\/span>-<\/span>ps<\/span>)<\/span>*<\/span>tau<\/span>)<\/span>\r\n    tau_list<\/span>.<\/span>append<\/span>(<\/span>tau<\/span>)<\/span>\r\n\r\nplt<\/span>.<\/span>plot<\/span>(<\/span>tau_list<\/span>,<\/span> TTS_list<\/span>)<\/span>\r\nplt<\/span>.<\/span>xlabel<\/span>(<\/span>'<\/span>annealing time<\/span>'<\/span>)<\/span>\r\nplt<\/span>.<\/span>ylabel<\/span>(<\/span>'<\/span>TTS<\/span>'<\/span>)<\/span>\r\n\r\nresult<\/span> =<\/span> oj<\/span>.<\/span>benchmark<\/span>(<\/span>\r\n                      true_ground_states<\/span>=<\/span>[<\/span>correct_state<\/span>],<\/span> ground_energy<\/span>=<\/span>0<\/span>,<\/span>\r\n                      solver<\/span>=<\/span> lambda<\/span> time_param<\/span>,<\/span> iteration<\/span>:<\/span> oj<\/span>.<\/span>SASampler<\/span>(<\/span>step_num<\/span>=<\/span>time_param<\/span>,<\/span> iteration<\/span>=<\/span>iteration<\/span>).<\/span>sample_ising<\/span>(<\/span>h<\/span>,<\/span>J<\/span>),<\/span>\r\n                      time_param_list<\/span>=<\/span>step_num_list<\/span>,<\/span>\r\n                      p_d<\/span>=<\/span>0.99<\/span>\r\n            )<\/span>\r\nfig<\/span>,<\/span> (<\/span>axL<\/span>,<\/span>axC<\/span>,<\/span>axR<\/span>)<\/span> =<\/span> plt<\/span>.<\/span>subplots<\/span>(<\/span>ncols<\/span>=<\/span>3<\/span>,<\/span> figsize<\/span>=<\/span>(<\/span>15<\/span>,<\/span>3<\/span>))<\/span>\r\nplt<\/span>.<\/span>subplots_adjust<\/span>(<\/span>wspace<\/span>=<\/span>0.4<\/span>)<\/span>\r\n\r\nfontsize<\/span> =<\/span> 10<\/span>\r\naxL<\/span>.<\/span>plot<\/span>(<\/span>result<\/span>[<\/span>'<\/span>time<\/span>'<\/span>],<\/span> result<\/span>[<\/span>'<\/span>tts<\/span>'<\/span>])<\/span>\r\naxL<\/span>.<\/span>set_xlabel<\/span>(<\/span>'<\/span>annealing time<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\naxL<\/span>.<\/span>set_ylabel<\/span>(<\/span>'<\/span>TTS<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\n\r\naxC<\/span>.<\/span>plot<\/span>(<\/span>result<\/span>[<\/span>'<\/span>time<\/span>'<\/span>],<\/span> result<\/span>[<\/span>'<\/span>e_res<\/span>'<\/span>])<\/span>\r\naxC<\/span>.<\/span>set_xlabel<\/span>(<\/span>'<\/span>annealing time<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\naxC<\/span>.<\/span>set_ylabel<\/span>(<\/span>'<\/span>Residual energy<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\n\r\naxR<\/span>.<\/span>plot<\/span>(<\/span>result<\/span>[<\/span>'<\/span>time<\/span>'<\/span>],<\/span> result<\/span>[<\/span>'<\/span>error<\/span>'<\/span>])<\/span>\r\naxR<\/span>.<\/span>set_xlabel<\/span>(<\/span>'<\/span>annealing time<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\naxR<\/span>.<\/span>set_ylabel<\/span>(<\/span>'<\/span>Error probability<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\n\r\nfig<\/span>.<\/span>show<\/span>()<\/span>\r\n\r\nimport<\/span> time<\/span>\r\ndef<\/span> anti_ferro_solver<\/span>(<\/span>time_param<\/span>,<\/span> iteration<\/span>,<\/span> h<\/span>,<\/span> J<\/span>):<\/span>\r\n    \"\"\"<\/span>\r\n    \u3059\u3079\u3066 1 \u3068 [1,-1,1,...] \u3068 [-1,1,-1,...] \u306e3\u3064\u306e\u72b6\u614b\u304b\u3089\u30e9\u30f3\u30c0\u30e0\u306b\u9078\u3076\r\n    <\/span>\"\"\"<\/span>\r\n\r\n    # \u5165\u529b\u3055\u308c\u305f h \u3068 J \u304b\u3089\u6dfb\u5b57\u306e\u96c6\u5408\u3092\u3064\u304f\u308b\r\n<\/span>    indices<\/span> =<\/span> set<\/span>(<\/span>h<\/span>.<\/span>keys<\/span>())<\/span>\r\n    indices<\/span> =<\/span> list<\/span>(<\/span>indices<\/span> |<\/span> set<\/span>([<\/span>key<\/span> for<\/span> keys<\/span> in<\/span> J<\/span>.<\/span>keys<\/span>()<\/span> for<\/span> key<\/span> in<\/span> keys<\/span>]))<\/span>\r\n\r\n    ones_state<\/span> =<\/span> list<\/span>(<\/span>np<\/span>.<\/span>ones<\/span>(<\/span>len<\/span>(<\/span>indices<\/span>),<\/span> dtype<\/span>=<\/span>int<\/span>))<\/span>        # all 1\r\n<\/span>\r\n    minus_plus_state<\/span> =<\/span> np<\/span>.<\/span>ones<\/span>(<\/span>len<\/span>(<\/span>indices<\/span>),<\/span> dtype<\/span>=<\/span>int<\/span>)<\/span>\r\n    minus_plus_state<\/span>[::<\/span>2<\/span>]<\/span> *=<\/span> -<\/span>1<\/span>                                         # -1, 1, -1, 1, ...\r\n<\/span>    plus_minus_state<\/span> =<\/span> -<\/span>1<\/span> *<\/span> minus_plus_state<\/span>                   # 1, -1, 1, -1\r\n<\/span>\r\n    start<\/span> =<\/span> time<\/span>.<\/span>time<\/span>()<\/span>\r\n    _states<\/span> =<\/span> [<\/span>ones_state<\/span>,<\/span> list<\/span>(<\/span>minus_plus_state<\/span>),<\/span> list<\/span>(<\/span>plus_minus_state<\/span>)]<\/span>\r\n    state_record<\/span> =<\/span> [<\/span>_states<\/span>[<\/span>np<\/span>.<\/span>random<\/span>.<\/span>randint<\/span>(<\/span>3<\/span>)]<\/span> for<\/span> _<\/span> in<\/span> range<\/span>(<\/span>iteration<\/span>)]<\/span>   # 3\u3064\u306e\u72b6\u614b\u304b\u3089\u30e9\u30f3\u30c0\u30e0\u306b\u3072\u3068\u3064\u9078\u3076\r\n<\/span>    exec_time<\/span> =<\/span> (<\/span>time<\/span>.<\/span>time<\/span>()<\/span>-<\/span>start<\/span>)<\/span> *<\/span> 10<\/span>**<\/span>6<\/span> *<\/span> time_param<\/span>                                # \u9069\u5f53\u306b\u8a08\u7b97\u6642\u9593\u3092\u4f38\u3070\u3057\u3066\u304a\u304d\u307e\u3059\r\n<\/span>\r\n    energies<\/span> =<\/span> [<\/span>sum<\/span>(<\/span>state<\/span>)<\/span> for<\/span> state<\/span> in<\/span> state_record<\/span>]<\/span>                                     # \u30a8\u30cd\u30eb\u30ae\u30fc\u306e\u8a08\u7b97\u306f\u3066\u304d\u3068\u3046\u3067\u3059\r\n<\/span>\r\n\r\n    # Response\u30af\u30e9\u30b9\u306b\u72b6\u614b\u3068\u30a8\u30cd\u30eb\u30ae\u30fc\u3092\u683c\u7d0d\u3057\u307e\u3059\r\n<\/span>    response<\/span> =<\/span> oj<\/span>.<\/span>Response<\/span>(<\/span>indices<\/span>=<\/span>indices<\/span>,<\/span> var_type<\/span>=<\/span>'<\/span>SPIN<\/span>'<\/span>)<\/span>\r\n    response<\/span>.<\/span>update_ising_states_energies<\/span>(<\/span>state_record<\/span>,<\/span> energies<\/span>)<\/span>\r\n    response<\/span>.<\/span>info<\/span>[<\/span>'<\/span>execution_time<\/span>'<\/span>]<\/span> =<\/span> exec_time<\/span>\r\n\r\n    return<\/span> response<\/span>\r\n\r\nresult<\/span> =<\/span> oj<\/span>.<\/span>benchmark<\/span>(<\/span>\r\n                      true_ground_states<\/span>=<\/span>[<\/span>correct_state<\/span>],<\/span> ground_energy<\/span>=<\/span>0<\/span>,<\/span>\r\n                      solver<\/span>=<\/span> lambda<\/span> time_param<\/span>,<\/span> iteration<\/span>:<\/span> anti_ferro_solver<\/span>(<\/span>time_param<\/span>,<\/span> iteration<\/span>,<\/span> h<\/span>,<\/span> J<\/span>),<\/span>\r\n                      time_param_list<\/span>=<\/span>step_num_list<\/span>,<\/span>\r\n                      iteration<\/span>=<\/span>100<\/span>,<\/span>\r\n                      p_d<\/span>=<\/span>0.99<\/span>\r\n            )<\/span>\r\n\r\nfig<\/span>,<\/span> (<\/span>axL<\/span>,<\/span>axC<\/span>,<\/span>axR<\/span>)<\/span> =<\/span> plt<\/span>.<\/span>subplots<\/span>(<\/span>ncols<\/span>=<\/span>3<\/span>,<\/span> figsize<\/span>=<\/span>(<\/span>15<\/span>,<\/span>3<\/span>))<\/span>\r\nplt<\/span>.<\/span>subplots_adjust<\/span>(<\/span>wspace<\/span>=<\/span>0.4<\/span>)<\/span>\r\n\r\nfontsize<\/span> =<\/span> 10<\/span>\r\naxL<\/span>.<\/span>plot<\/span>(<\/span>result<\/span>[<\/span>'<\/span>time<\/span>'<\/span>],<\/span> result<\/span>[<\/span>'<\/span>tts<\/span>'<\/span>])<\/span>\r\naxL<\/span>.<\/span>set_xlabel<\/span>(<\/span>'<\/span>annealing time<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\naxL<\/span>.<\/span>set_ylabel<\/span>(<\/span>'<\/span>TTS<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\n\r\naxC<\/span>.<\/span>plot<\/span>(<\/span>result<\/span>[<\/span>'<\/span>time<\/span>'<\/span>],<\/span> result<\/span>[<\/span>'<\/span>e_res<\/span>'<\/span>])<\/span>\r\naxC<\/span>.<\/span>set_xlabel<\/span>(<\/span>'<\/span>annealing time<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\naxC<\/span>.<\/span>set_ylabel<\/span>(<\/span>'<\/span>Residual energy<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\n\r\naxR<\/span>.<\/span>plot<\/span>(<\/span>result<\/span>[<\/span>'<\/span>time<\/span>'<\/span>],<\/span> result<\/span>[<\/span>'<\/span>error<\/span>'<\/span>])<\/span>\r\naxR<\/span>.<\/span>set_xlabel<\/span>(<\/span>'<\/span>annealing time<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\naxR<\/span>.<\/span>set_ylabel<\/span>(<\/span>'<\/span>Error probability<\/span>'<\/span>,<\/span> fontsize<\/span>=<\/span>fontsize<\/span>)<\/span>\r\n\r\nfig<\/span>.<\/span>show<\/span>()<\/span>\r\n<\/code><\/pre>\n
      \u7121\u6cd5\u627e\u5230[7]\u3002\u4e0d\u77e5\u70ba\u4f55\u6703\u51fa\u73fe\u932f\u8aa4\u3002\u6b63\u5728\u4e0b\u9762\u7684\u6587\u7ae0\u4e2d\u9032\u884c\u8abf\u67e5\u3002<\/p>\n
      Python\u9519\u8bef\u6536\u96c6<\/p>\n
      #\u6ce8\u518cDocker Hub<\/p>\n
      $<\/span> docker commit 2651e9e533e2 kaizenjapan\/openjij-ch1-ubuntu\r\nsha256:31f8ffbbbf06db1691bd5386f547f553151cbfdd1cfff171e5dcec3eeed4d546\r\n<\/span>$<\/span> docker push kaizenjapan\/openjij-ch1-ubuntu\r\nThe push refers to repository [docker.io\/kaizenjapan\/openjij-ch1-ubuntu]\r\n42cc7cd900d4: Pushed \r\n75e70aa52609: Mounted from kaizenjapan\/qc-nakamori \r\ndda151859818: Mounted from kaizenjapan\/qc-nakamori \r\nfbd2732ad777: Mounted from kaizenjapan\/qc-nakamori \r\nba9de9d8475e: Mounted from kaizenjapan\/qc-nakamori \r\nlatest: digest: sha256:444a72af2904226c0a37adf6f7ff562398ed88a269ef3acba5f9efc6e3389647 size: 1365\r\n<\/span><\/code><\/pre>\n
      \u53c2\u8003\u8d44\u6599 (reference)<\/h1>\n
      \u4f7f\u7528Docker\u5728\u4e3b\u673a\u548c\u5bb9\u5668\u4e4b\u95f4\u8fdb\u884c\u6587\u4ef6\u590d\u5236\u3002
      \nhttps:\/\/qiita.com\/gologo13\/items\/7e4e404af80377b48fd5<\/p>\n
      \u6253\u5f00 OpenJij \u7684 Slack
      \nhttps:\/\/openjij.slack.com<\/p>\n
      !pip install -U cmake\r\n<\/code><\/pre>\n
      \u6587\u4ef6\u5386\u53f2<\/h1>\n
      \u7248\u672c0.01 \u521d\u7a3f 20190626 \u4e0a\u5348
      \n\u7248\u672c0.02 \u6dfb\u52a0\u6587\u4ef6\u8f93\u51fa 20190626 \u4e0a\u5348
      \n\u7248\u672c0.03 \u6ce8\u518cdocker hub 20190626 \u4e2d\u5348
      \n\u7248\u672c0.04 \u5b8c\u6210\u7b2c\u4e8c\u7ae0\u7684\u8349\u7a3f 20190626 \u4e0b\u5348
      \n\u7248\u672c0.05 \u66f4\u6b63\u6253\u5370\u9519\u8bef 20190626 \u665a\u4e0a<\/p>\n
      \u611f\u8c22\u60a8\u7684\u9605\u8bfb\u76f4\u5230\u6700\u540e\u3002<\/h3>\n
      \u559c\u6b22\u7684\u8bdd\u8bf7\u70b9\u8d5e\uff0c\u4e5f\u8bf7\u5173\u6ce8\u4e00\u4e0b\u3002<\/p>\n
      \u975e\u5e38\u611f\u8c22\u60a8\u8bfb\u5230\u6700\u540e\u4e00\u53e5\u3002<\/h4>\n
      \u8bf7\u70b9\u51fb?\u56fe\u6807\u5e76\u5173\u6ce8\u6211\uff0c\u8fc7\u4e0a\u5e78\u798f\u751f\u6d3b\u3002<\/p>\n
      \"\u3053\u306e\u30a8\u30f3\u30c8\u30ea\u30fc\u3092\u306f\u3066\u306a\u30d6\u30c3\u30af\u30de\u30fc\u30af\u306b\u8ffd\u52a0\"<\/div>\n","protected":false},"excerpt":{"rendered":"
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