pidstat 1信息
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M5TZRlVy3mLOOC4FzSHpA8tfyqfZQhOVWBVaHCW6+nCzYIQ9MjnenTQtsylpb5AQe7oAft07qxVTI140ylf8Z46kRlLIuDb4LVh80qPiR0LibO3JRmngvZ3Vj8ZtrYI+XebneOH7Hl2VzP6aNnYxrzIyOKv1EOHX5lo/OoGUVyVU9bOfp6wV4iPa1XyyWkCTIfURzkIbpNNdAWrWp/Km1z6ZSpTU3QGCT39phbRj1O5qW1YnyMM7CSRjo0fZBGOuwm4xWviLLklAMNFnq/THu6YIMANOcmnsxkafkI35bhQXltOG/SzyD2RXVRK+QszdwP1I+m8rBlJ0ojBadVOp66SJ9k3nMiMLTFWbP2uEab23X9LciDp0/pzI8s7+0QLzJUxLP9tNIovY932eg4akaRXNXTVo6+XrCXSE/r1XIJyUuq3kck2P3pC+T9VTtUbmbUcLmP1/bbHHUzt5233sbaeTveydqIre95uaCSUxXi8xOGmKxDTxdsEAxVN5EV9OSslndC7r7fUsHZXLLf6ORveE0j3lrYXr1iL9qZyaRhFR+tfZIbQ1ucSU2Qtr1VuznA1e7sPHhRoy1G6Re61cNazSiSq3raytHXC/YS6Wm92iShWVyk4cB03TdneW2YvLwWvZ3F3oZ1xHJ18e/pgg3CoOomsjZibXXbKTe0TVbsuNAsLMRd7R4bmsRxQyOFmD6u7I/O7WQ7f9JpcexuudW+IOQvb1banaNO240CwqNmFMlVPW3l6OsFe4n0tF7tk3BhaTFn6bPTXlPVCM6iPVMHc6dqYofUnfKKzLUV2oFKHHDJRpzYSE7ZiB2xHHq6YIMwKDc6l9fO0S8qZ86kE7O6q+NC44HJfozT/rB6btHVXtw4wZkMne+aibF5v+jqZbN0QhyTdSKWzrDt8QDv7hM/8djYmEJ0s9M0NsrhRSgbnaWxUdiMoa4Ri5KresbKvakX7NU3erVRwvLc+fwqHYPME3czFDM0q8T6TLF2jOo4Ei2RuSBOKyOFOXD23BpNI3agorNk80mxKZJTFDp4ZbXAQ4ZVeqZggyZpsAoLqTjqxsYLq1nQ4VG8RNUvRsKGd7nniJckaP9ePOIiQIL+66xQUbWGq7DQ1IaFlVcY7L6aZer6jrs/iufvu4zUKIeKoGWjA8iMEk/tTCfJyfreTpKrImBlybPM6FW9KLCXSPTtJaGlEtJ3QXUVFp5jdrLC+4sieU/Vr1ZCz3qvekLdLzpchu/wSsx1L0bFlFRfvzddxcQsK7aPizetObV+5PT0SKFyqm7lFZHoFwDQPPYSLATvVVgAAAAA0F8Q37Q2cuwNcUnDLGAG+pCmJ8QBAAAAQB/iNXgFHDLgJgIAAACgHjoix2OuYnCo4E3OaHQGAAAAAAACiCYCAAAAAAAP4CYCAAAAAAAP4CYCAAAAAAAP4CYCAAAAAAAP4CYCAAAAAAAP4CYCAAAAfUA8tRNo0mw5AWfeBoeEBov12fClgaSLONUvQCTBL0FxDaKgK/8IMtSuPSXAfxNiuTYuiSksxGcvmiQcsddfitwKRapG6UtUSlQ7UDOK5KrIWNm3cpAQfb1gL5Fe0MuX6EvYStiae3WLyoZFtnggOITYkyYSvOdNJL7RQfb0fMLjG4U8fgeVhc/5z9jS4XL8E6RfMM6iQDTx0ylvr9UXUgN6XcU+sA6ExBtDL8nME1GF1JjkQvqJDN31W/q9S6gZpU9pvkS1BjWjSK6KiJX5rb0qBwnR1wv2Eom+XhKiL2GLQTQRtB55o3MiUxgpTWTPz+3yA1XiqTMG+STl4ZmNtcKqph8ba/QIShJMjNLIXCXat7BeNPXk2XAltTxXMDU9dpTv2sTnTyQNM3/K5PtBGB8bMaz95a2SqY+crOh0NKabxeJqJf2ZUT2XL4ZJtf2oGaVfaUGJagVqRpFcFRErS55lCdHXC/YSib5eEqIvIQA9gNxN3Fwa8GrDJVBHSjMvOUFp+krWjJExIVrDYnuurzdJgoO6Zu1f43vE5du6bGnDg+LFXgnWQhNxkZicDb0kZfzkiG6WtjaoDK5qZeuSaRynrkbiuF5aphWufiQy1U4AoxwiApSoTqBmFMlVUbGy/7MsIfp6wV4iPaCXP+2QcCaT3UnFK01J1VBlBdaCYf85bRfuCF+IWB2Lhlb+3K1hXvfi2O9K+kelFRATdMkgnEqTjAKgguoQlqOx6juYBvPTWq5o1UXyQlJ3uREb4luBSJylfQfX7W9HRuLZtGEWV8L1R2GLnV/eIteUl0uWq1pZ2DanRhPjqYlh4kfyY1GhLUbpaZotUS1AzSiSq3raytHXC/YS6Wm92iShkZwmSZ3KZgeyiznLuOB4b9R3TA8XFwfoqezAinYymC/oB5H5gmGyG7E/sWO99F5T6eljJXYqbxrJE2IngQtanl+SN6fSVU+RntKLE/apbH6VHwaA0PRIZ1KUWVvG0jI/4FCeO08KXNAuwxtbJVMzzlQ+fcZTJyojDxx8E6x8BqWnrOJDlREnBOLMTWnmOeFIEOg3qFVaZhdt7JFqxW53jh+x5dlcz+mjZ2Ma8yMjir9RDhEBSlRHUTOK5KqetnL09YK9RHpar1ZL6AyGo3EETR9kcYT4/IShmXlnyKNWXpsT/DoFRDe3lgb3qo6z3NxeJS8w+9OYNsELDWvkRWZpU6PMT7RPrYQONoPDQXNu4slMlj5+4dsyPCivDdNPn2k77n1RK5BCbO4H6kezsGR/A2UnSiMFp1U6nrqY1J2OKYGhLc6atcc1Yo9ZbbszqRr0KZ35keW9HechjAytNEpP00SJajlqRpFc1dNWjr5esJdIT+vVegnNbeedsrF2vtKUP0TeG6vbzTmGtdjdqQuk+nK3KTe4186eVwhjKGZo+uy0HVIhf84UEHbrvPU9r4sAUHcTr+2Tr6jkrJZ3+rv4f/oEZnOJx8Oz2eE1jTwJ3sXdH7GT8sxk0rCKj4Z9bGmLs6YZ6cqzRHtpuNqdhaohWrTFKD1N0yWqedSMIrmqp60cfb1gL5Ge1qujEsYHh/lW6yAfuqTuWqxzFtXvJTRh239BZ4gDhxlVN5G16IkfNLRNlg774LtNQ7sbC72PQ5M4bmikjqBPF/ujU2fZzp90Why713PNs5Q3K+3OUaftRulpmi1RiqgZRXJVT1s5+nrBXiI9rVdHJaQtS5U2XDlhnTzBWeQTNQS/l8juvqnZ4y/d0L5V4lhMNtYHgArKjc7ltXOmNpV2pqQ6Mau7egE2HpjsxzjtbqznFl3txY0TnMnQ+a6ZGJv3i65eNksnxDFZ713p9xP93BTaFCj06dKPjY11JRYVjsZGOaT4lKiO0NgofMRizcBDyVU9Y+Xe1Av26hu9Oirh5qNFSzPS1dyLp+btbTbHgtMLcGc6yWf7DgVtMrZKvMuM/70k2GJUcqMGsW9VInOQVhEQ9C8NVmEhFUfd2HhhpRM6PIqXqPolLohXN00no6mZ+F6SoP178YiLAAn6r7PCB3k1iLHT1IaFlVcY7L6aZep63ez2nr/vMlKjHCoalqjOITNK5c0hXeXIfVUErNygcuhZvSiwl0j07SWhtRLS1CTvEdHH8spbcjS3uKKdmB4puDO5DqH6otQtIeN5L3Yj4T1FjS6sp+JKU7B1VUKSS+tHTgeREBwW7CVYCN6rsAAAAAAAgENJ0xPiAAAAAACAfqRBozMAAAAAWo2sF2BEW/DBoQRuIgAAABCOoaGh6enpRCIxODh4cHCwu7v7t3/7txcuXPjZz37GfwFAf8D6JVLQNxEAAACQc/bsWfLGJK6hJy+99NLs7Cz/KQB9gO0jEuAmAgAAAH7cddddP/jBD7g/KOVf/uVfxsbG+GUA9DTcSYSbCAAAAPjw5S9/+e233+ZuYADeeuutz3/+8/xiAHoX7iTCTQQAAAC8ID4i9/5C8vu///s8CQB6FO4kwk0EAAAA6rjnnntCxRFF3nzzzV/5lV/hCQHQg2DeRAAAAMCXJ598cmBggO+E5J3vfOfa2hrfAaAHCTQhDl/hR7qIU91SQjL8EhSXEgo6cZQgQ+36SAL8N/5L+dXBJTGFhfjGU6cLSV04Yi9+1dQEVzXCUyqpeU+pVb2XJOdVjRJxJGUj4Kkaa3YcLkn9QyQh+lZWEwN6dUuvfi2HUlRUFshms1/+8pf5jiqnTp1aWFB+TwDQVewWZ4J3ozPxjQ6yp+cTqR3XkvCsgjjIOquqs5+xpcPl+CdIvK7sQYYfoomfToWcxpFUB15Xxem9DoTEG0MvycwTUYXUmORC+sSTo8l6raQeGKpmMKnEDJHkvJpRIo+kbEhOsfLgZC+zl6sMdwb/Mi8j+lZWEwN6dUsvfuu+K4cS1FSu5Yc//CFvP26CnZ0dnhwAvYa80TmRKYyUJrLn53b5gSrx1BmDfJ/xyM3GWmFV04+NNaokJAkmRmlkrhLtW1gvmnrybLgHuzxXMDU9dpTv2sTnTyQNM3/K5PtBGB8bMaz95a2SqY+crOh0NKabxeJqJf2ZUT2XL4ZJtQns3C7wxd19c17NKNFHUjYkp+Jjx3RtdbsSQNhcz1na1Kjiu0IdSZmXEH0rq4kBvbqlV7+WQwlqKtfw4Q9/+NZbb+U7TWAYPOYKQM8hdxM3lwa82nAJ1JHSzEtODJ++rTVjZMyJvZFahMZyXN+XkgQHdc3av8b3iMu3ddnShgfFi70SrIUm4iIxOatbuXVH0CDET47oZmlrg8rgqvi2LpnGceppJI7rpWVa++hH2l8xzkwmDav4KFNCkvMBjNKTSMqGrNiU98gHvFCEhkZ0zdxXf2Mo4l/mJUTfympiQK9u6dWv5VCGksq1/M7v/A7fapr/9o//D3l/sT+hkQqAyKM6hOVorPp6poH9tJYrWnWRvJDUXW7EhvhWIBJnad/BdfvrlpF4Nm2YxZVwPWZoFMq6vEWuKS+XLFfFt7BtTo0mxlMTw8SP5Meaw0jzuqPSfOOGfbVTt5XtSXK+LUaJCJKy4Xtq89GiZSSnd1LEUyTfGOkpq/hQ1/omhiP6VlYTA3p1Sy81+lWvwNx55518q2mO3X7T4kA2S/9WtJMdb9UAQJWmRzqTCoIF9peW+QGH8tx58kgE7dS8sVUyNeMMfaNTxlMnnJEHFXwTZF1kyJ/bDyDO3JRmngvpGdCvZKu0zC7a2CMVn93uHD9iy7O5ntNHz8Y05kc2y8ISqzXo32LOMi54xUrtr/Z6LfxzXnaqF5GUDXmx2Vg7P7BY1JLTB9npWSvfdGihC0TfympiQK/eol/1akQsFuNbTfPq829V6vDy2pwThQUg6jTnJp7MZGkF0ZK3b3ltOG8a9I1Ofb6LWiFnBW0idJytidJIwfG04qmLSd3pOhMY2uKsWXtco83tug435eWSPqUzP5I2a+ojoSKevpTnVoqmR+ee+hApRZLzrTRKRJCUDWmxIS+wg+mRy4ukbORXadQ2cl3s5UTfympiQK/eol/1CsDBwQHfapofty4pADqJqpt4bd/S9OSsVo3QiG0QimwuVUJr2eE1jXhrO3vhInZiN2qxP18I2LgHoSE4Xd/hhsao2lEtsr50LuoDopKcb4tRIoKkbPid4t8Jdvh5837iKWr67GRvNPZE38pqYkAv8VT06Ve9ArO/v8+3muZf//Vf+RYAPYWqm8ga+4RhpKxN1uk/1wJoh2ihf3RoEscNjdRiBe7tscm9bOdPOgGN3cJ7quJ20L+8WWl3bjOsD3itZ0xDiZq5LYYSJTnfdqNEBEnZEE8NxQzNKlXj0bslixSJwZ7oPB59K6uJAb26pZca/apXYF544QW+1TSvFAp8C4CeQrnRubx2ztSm0s6kWSdmdVf/ucYDk/2gbYVpPbfoai9unOBMhs53zcTYvF909bJZOiGOmafb0hm26QdxrVum7e6ztuAxhehmGOhoGyKhOAEsCyXWDdOW5Hxjo/Q8PmWD4j7FDFcNH9Ix79F8jbGpH13zukXfyo3FgF5R0qsx/apXM3z961/nW81xoB3c8JtOoDWemhczGYBI02AVFlJx0FbXGoSVTmaqU/C7Vr8gEK9umk5GUzM1vyRB+/fiERcBEvRfZ4WKqjVchYWmNuxeq4PdV7NMXd9xz+Pv+fvgCCqT73KvxKd8NJLkvNQoPYqkbEiLTTy1M53kmeGRw51BUuYZFSHrxYu+lWViQC97kxEBvfq5HPrQSOVAkFfkbbfdxndU+ad/eunRj1zkORVeBgC6CVuBheK9CgsAAABwWPnjP/5jeyWVZnjooYd4cgD0HNxJhJsIAAAA1PHKK69wd0+JF198kScEQA/S9LyJAAAAQP/y6U9/mnh7fCckb7755r333st3AOhB4CYCAAAAvvzN3/zNH/3RH/GdMBDn8tSpU6+88grfB6AHaTCEBQAAAAB/8Ad/8JWvfOWGG4LGVt5+++1vf/vbf//3f8/3w3D9+vX9/f3t7e2rV6+SbX4UgG4ANxEAAABowE033TQ9Pf0nf/In73//+/mh9vPGG28888wz//zP/yw6jm+++SY/DUAHYMNXKBjCAgAAALi45557nn76aeKcsREpXeY//uM/nnrqqY9//ONcOADaDXcS4SYCAAAAArfddhtxELmDFjGefPLJW265hQsKQPvgTiLcRAAAAKDC3Xff/YMf/IA7ZZGkXC5PTk5ycQFoDxjpDAAAANRAfMS//Mu//MAHPsD3I8mHPvShK1eu3HXXXXwfgDYQaAgLXw9NuoiTaw09OX4JiovXBV36SZDBdxEk/hv/pfzq4JKYwkJ846nThaQuHLFXgmpqiaoa4SmV1BKZg3TNCUb1XpKcVzVKFBAX16rJWImVfU81ysPO4vsQSYi+ldXEgF7d0qtfy6EEJQmJd/jCCy80v0ZfZyiXy3feeefu7i7fB6C12C3OBO9GZ+IbHWRPzydSO64l4dnjd5B11n1nP4uzHSn+CRIXIXuQ4Ydo4qdTIQdekxrQ66o4vdeBkHhj6CWZeSKqkBqTXEifeCE0WZ4DalA1g0klZogk59WMEg1oAXCKhKhILT5WpkhOUcQ87CT+ZV5G9K2sJgb06pZe/NZ9Vw4lqEoY2f6IfjzxxBNcdABajbzROZEpjJQmsufn6j9T4qkzBvkk5YGZjbXCqqYfG2v0CEoSTIzSyFwl2rewXjT15NnAdRmjPFcwNT12lO/axOdPJA0zf8rk+0EYHxsxrP3lrZKpj5ys6HQ0ppvF4mol/ZlRPZcvhkm1CezcLrA4mSTn1YwSFTbvz1YjHLQAaMZxjwLgaWUbyanaPOwkkjIvIfpWVhMDenVLr34thxIUJbz77rs/85nP8J0eIZPJ/MZv/AbfAaClyN3EzaUBrzZcAnWkNPOS02xBnTzNGBkTQjUstOP6epMkOKhr1v41vkfe+FuXLW14ULzYK8FaaCIuEpOzupVbD9y+QomfHNHN0tYGlcFVrWxdMm3fJXFcLy3TClc/0rDaaZqZyaRhFR9lSkhyPoBR+gEPK1eQnBLzsKP4l3kJ0beymhjQq1t69Ws5lKAq4cMPP8y3eor/MmNHTQFoMapDWI7Gql4dDeantVzR8g3kBKTuciM2xLcCkThL+w6u29+OjMSzacMsroTrMRMfO6Zbl7fINeXlkuWqVha2zanRxHhqYpj4kfxYcxhp1nhdbRxxw76JqdvK9iQ53xajdIuhmKFZJY/IR72VHfxP1eZh9Im+ldXEgF7d0kuNntZLScIbb7zxwQcf5Ds9xd0PPDAwMMB3AGgdTY90Jo8fa8tYWuYHHMpz57MD2aCdmje2SqZmnEnx0Nx46kRlLIuDb4KsAwr5S09ZxYcqI04IxJmb0sxzwpEg0G9Qq7TMLtrYI9WK3e4cP2LLs7me00fPxjTmRzbLwhLRyP5bzFnGBa9Yqf1NXK+Ff87LTvUI1L8nXqJtBRs/KxMkp2z88jD6RN/KamJAr96ip/UKI+HExATxFPlOT/ELv/ALRHi+A0DraM5NPJnJ0scvfFuGB+W14bxpJKft0NpFrZCzNHM/UD8ax9maKI0UHE8rnrqY1J2OKYGhLc6atcc12tyu685SXi7pUzrzYMp7O8SLDBXx9KU8t1I0PbrOeEfIJDnfSqN0B3u8s5VbqVHB28oMySmGJAAZaaJvZTUxoFdv0dN6hZTwjjvu4Fs9SE8LDyKLqpt4bd/S9OSslnf6u4gRfkU2l+yXPfkbXtOIt7azFy78I3ZSVuyLRlucxYZgOj+Lq915Y+28Qi+fxlCn0019QFSS820xSqeJz59mPqL/1BWSruiep9SCyt0l+lZWEwN6iaeiT0/rpSTh4OAg3+pBelp4EFlU3UTWRqytbjteGG2TbWXfL9rdWOh9HJrEcUMjdUSBe3ts6izb+ZNOQGO3Tp6qeKv0L29W2p3bDOthXesZ0zCYZm6LYTBJzrfdKO1nJmNP6tbCCdg88jD6RN/KamJAr27ppUZP66Uk4cHBAd/qQW64oeleZADUoVyqymvnTG0q7UxJdWJWdwVsGg9M9mOcdjfWc4uu9uLGCc5k6HzXTAw6u0rV1ctm6YQ4Zp5uS2fYpp+bLpdid5+1BY8pRDfDwHrjmXlxzlsWBqsbpi3J+cZGiTQzbCLchhP/ClZ2U3/KOw+jBZsx1DWVXfSt3FgM6BUlvRrTd3qpSLi/v8+3epDr16/zLQBaR4NVWOxeYrUIC13Y73VG/eIWxKubppPR1LQeShK0fy8ecREgQf91VqioWsNVWGhqw8LKKwx2X80ydX3H7cF4/j44gsrkq9cr8SkfjSQ5LzVKhImndqaTXPAqtgoSK8sLgCwPO0WthDZiCa8oXu8fR9/KMjGgl73JiIBe/VwOJYSUcHJy8q//+q/5Tq/x8MMPf/3rX+c7ALQKewkWgvcqLAAAAMDh4J3vfOcbb7xhL23Sc2CkM2gH6MoAAAAAUN56661nnnmG7/QUr776aqFQ4DsAtA64iQAAAABnYSGCbeeN6VHvFkQfuIkAAAAAZ319/cknn+Q7vcPjjz/OtwBoKXATAQAAgCqPPPLIK6+8wnd6gYsXL6LFGbSJBiOdAQAAgMPG5OTklStX3vWud/H9CPOTn/zkT//0T1977TW+3zauX7++t7e3vb199erVn//85/wo6HvsYc4EjHQGAAAAbO66666XX36ZjyIGtSwvL9977708p0B/w51EuIkAAACAwNDQ0NLSEveMQB3f/OY3b7vtNp5ZoE9B30QAAADAg93d3UwmMzk5+eSTT77++uv8KKjwm7/5m9/97nc//vGP833Ql/BYIqKJAAAAgA/33Xcfj6GBWt544w3iSfNsAn1HoCEsfE056SJOrjX05PglKC5eF3TpJ0EGv1X+Kr8JsWgbl8QUFuIbT50uJHXhiL34VeSWqFI1SveRmlJcaqwmz2uuonhYJHwBaDm+D5EEiSkjYmU1MaBXt/Tq13IoRUXlOuLx+AsvvDA0NMT3QS2vvPJKIpHY3d3l+6CfsEOJBO9oIvGNDrKn5xOpHdeS8KyCOMg6q6qzn8XZjhT/BIkfkD3I8EM08dOpkAOvSXXgdVWc3utASLwx9JLMPBFVSI1JLqSfyNDdSg5EBDWjRA+XKWnZcEqLqCOB7sotq1AAWorkIZIgMWVErKwmBvTqll781n1XDiWoqezF8vIyD50BH5544gmeWaC/kPdNTGQKI6WJ7Pm5+k+EeOqMQb7PeNhmY62wqunHxhpVEpIEE6M0MlcJ9iysF009eTbcg12eK5iaHjvKd23i8yeShpk/ZfL9IIyPjRjW/vJWydRHTlZ0OhrTzWJxtZL+zKieyxfDpNp+1IwSRVym3Lw/W40E0LKhGceDlg2VAtBKJGVegsSUEbGymhjQq1t69Ws5lKCmsgef+MQnPv3pT/Md4EMmk/nYxz7Gd0AfIXcTN5cGvNpwCdSR0sxLTgyfOnmaMTImRPJYQMj1fSlJcFDXrP1rfI/4CVuXLW14ULzYK8FaaCIuEpOzupVbD9XYED85opulrQ0qg6vi27pk2g5K4rheWqa1j34kMhVjAKP0DB6mVEOlALQU/zIvQWLKiFhZTQzo1S29+rUcylBS2YuHH36YbwEp//35/6v6+c6CzfxPDOWS4zupOHHiK2d5QBpEFdWRzkdjVa+OBvbTWq5o1UXyQlJ3uREL1RMkcZb2HVy3v24ZiWfThllcCddjJj52TLcub5Fryssly1XxLWybU6OJ8dTEMPEj+bGo0BajdId6UwoMxQzNKokRAiPtU+MoFYAIIDFlRKysJgb06pZeavSrXmF417ve9eCDD/IdIMV49X/l3w3EF7yg5QeyWfqXN6fSNZ6ikZwmBeYUPbuYs4wLXeoOBILR9IQ4pIJggf2lZX7AoTx3nhSCoJ2aN7ZKpmacIR8ZjPHUicpYFgffBCtfLekpq/hQZcQJgThzU5p5TjgSBPqVbJWW2UUbe6Tis9ud40dseTbXc/ro2ZjG/MiI4m+UqONnSgHq+REv0TYQYWGJ1UROjSPEm9UKQKSQmDIiVlYTA3r1Fv2qVwDGx8ff8Y538B0g5d3vfjfJLvK2TJ0xhDYc8tK0tKlR0Rd0BhrSWIymD0YoCA3cNOcmnsxkaQXRksB+eW04b9KPDBYWuqgVSMEy9wN1KnEchYnSSMHxEuKpi0nd6ToTGNrirFl7XKPN7boON6RY61M6c1PKezvEi4zY2LdWGqXjeJuyij3e2cqteGpXnlspmkLfKaUCECEkpoyIldXEgF69Rb/qFYw77riDb4EAfOQjH7EbfPTZafubn/w5E5hUMLedanlj7XyL+gaANqHqJl7bJ18AyVkt7xhYbINQZHPJdhHI3/CaRry1nb1wcSCxG/XMZNKwio86XWcCQlucxUZMOgmLq905ssW6LUbpEl494uPzp5mPKJl3gzruHMUCEA0kpoyIldXEgF7iqejTr3qFIRaL8S0QACe7TNamLPx1bTIy0CSqbiJrI9ZWtx3D0zZZOuyD7zYN7RAt9I8OTeK4oZFarMC9PTa5l+38SbtB2P2ya8p33qy0O0edthulq8xk7MnPpN0YWD969nWhWAAigsSUEbGymhjQq1t6qdGveoXh4OCAb4EAsOza3Q8zGQWIOMqNzuW1c6Y2lXYmzToxq7s6gTUemOzHOO0QrecWXc2FjROcydD5rpkYdAqVqquXzdL5UEzWo1b6TUM/iIV4OIWWeP3Y2JhCdLPTNDZKzyCY0t6lfl6jCXJZt0Uzz36jWAC6AZsx1DWvm8SUEbFyYzGgV5T0aky/6tUke3t7fAsEgGUXm6jEKRugx2mwCovdFawWYXkM++XNqF/6gnh103QukpomQkmC9u/FIy4CJOi/zAYfeNXARaCpDQsrrzDYfTXL1PUdt5vi+fsuIzVKlPE3ZTy1M53kOlWxtROKjSbzI4MVgHYgKfOMinb1wktMGREry8SAXvYmIwJ69XM59KGRyoG466671tfX+Q5oxEP/+T9/4+/+jmzU1MwEp1zRMtOdqhioEWixPgAAAOAQcsMNN7z66qs333wz3wf+/PjHP37/+9/Pd0C/0PSEOAAAAECf8vbbbz/zzDN8B0hBRvUlcBMBAAAAXy5cuMC3gJSFhYh1OwCtAG4iAAAA4MvVq1e/8Y1v8B3gw+OPP/7d736X74A+Am4iAAAAIOOLX/zij370I74D6iiVSo888gjfAf0F3EQAAADAm3vvvffP/uzPXn755VtuuYUfArX8+7//eyaT+elPf8r3QX8BNxEAAABw8+EPf/jP//zP/+qv/urkyZNY1tmPUql03333obm5j4GbCAAAANRAXJ8XXnjhwQcf5PvAi8cff/zOO++Ej9jfwE0EAAAAqhAfcW1tbXBwkO+DWn784x9//etf/+hHPzozM4O25r4H02sDAAAAnF/+5V9+4YUXfumXfonvR5Jr164RIV966aXXX3/9g79z76i2/f/+D/4qbx/Xr1/f29vb3t7+O7bOCjgkBHIT+ao70kWcXGvoyfFLUFzeJ+jST4IMvgsx8d/4L+VXB5fEFBbiG0+dLiR14Yi9ElRTS1TVCE+ppJbIHKRrTjCq95LkvKpROolfARAX16rP2CDFpsZkNkKGNGWsZlAzSmet7Je9rRejs3qp0At6wV6BCC/ht771rRMnTvCdyHPp0qUfHflPH9H+6a+f+iE/JEAcu/39feLYXb16lWzzo52BvTGtblW5oIUQN9FG+6LXOpfE0gfZ0/OJ1I5rSXj2+B1knXXf2c/ibEeKf4LERcgeZPghmvjpVMjgJqk3va6K03sdCIk3hl6SmSeiCqkxyYX0iSdHk21qdXOqZjCpxAyR5LyaUTqJvAA4R0RFCP5XMaM7eciMIvygplB1CzWjdNLK/tnbejE6qZca0deLJwJ7NSK8hFNTUwf9yOuvv760tPRflfjSl770+c9//u67777pppt4NgWBZTjPfNDTcCfR200kL13bNWGeVk195D5C38c7qUaVhCRB+oIXilT9D4LgSoTC3QhaXwR2F2j5JnJSGWrqxJ1U6tlK+jMZu5pu6jEIKpWYG5Kcl5yKCJIC4EL8QYhyWOM1hjJ6u1AziuQqtQQlhMjepsXopF5qRF8v2CsgKhKurKxwxwrU8eabbz799NPEX+SZJQduYr8gH8KyuTTg1YZLGB8bMTTzktPYkRid0jRjZIxWXhz2wnZ9vUkSHNQ1a/8a39O08tZlSxseFC/2SrAWmoiLxOSsbuXWa1tlGhA/OaKbpa0NKoN+bEy839Yl0zhO653Ecb20vEs29CPyaqcVzEwmDav4KFNCkvMBjNJt/AuADMlV5b0dTSwnQyO6Zu5Tw1AbGWFN33rUjNJRKys95j2glxI9oBfsFYzwEr73ve89fvw43wF1vPOd7/zMZz7zne9856mnnvrAB2iUhLyO7fcy/au44PxIIUlex8YFdor+df2LHSiiOtL5aKzq1dGPhrSWK1qaHjvKjihSd7kRG+JbgUicpX0H14WeEIln04ZZXAnXYyY+dky3Lm+Ra8rLJctVrSxsm1OjifHUxDDxI/mx5jDS/Cny+/CKp86Q2q5yO0nOt8Uo3WIoZmhWyfb3ZGw+WrSM5DSroUj1lJ6yig/ZfRPpW8H63pDdN4D+dSXUoWaUiFi55WJERC8JPa1Xy8WIiF5qhJfwYx/7GN8CUj772c9+97vf/l9+4XZ9dnp6pJAdyGYH8qaRPMGCOOW58/TIBMlt2h2cnSV/QQcGgKjR9IQ45PErjJQmskvL/ICDXVaCdmre2CqZmnGm8iIfT51wBiVU8E2QdUAhf4KLwCDO3JRmnqsd0NAQ+g1qlZbZRRt7pFoZOUmFih+x5dlcz+mjZ2Ma8yObZWGp8ghlF3MW+fDyiJXa38T1WvjnvOxUj0D9e+Il2laQs7F2fmCxqCWnD7LTs1a+NtBiXBjd5jnMfiO0QHUaNaNExMotFyMieknoab1aLkZE9FIjsIR33HEH3wKN+OAHb/2T23779u+/ushHUG1ur5KXZajADugNmnMTT2ay9PFTaEasp7w2TD9HyMue+nwXtULOcloPG+A4WxMl8mFT8bTiqYtJfTUfdpgVbXHWrD2uESv6te3O5eWSPqUzD4a2eLbqwSjPrRRN970I9SFSiiTnW2mU7pBg452t3EogFcg74GB65PIiKQD5VRqaFV1t85TzCVteO2dqUxOsU1fHUTNKRKzccjEiopeEntar5WJERC81wkgYi8X4FgjAjQPv+N9/6f9489Zb+T7oU1TdxGv7lqYnZ7Vq8EaM8CuyucQDP9ns8JpGvLWdvXARu421guPVif35QkBbnMWGYDo/i6vdmYav2lEtsm52LuoDopKcb4tROg1rOA4+uQb/GLB/vHk/8RQ1fXbSiRl2oueoHDWjRMTKLRcjInpJ6Gm9Wi5GRPRSI/oS9j7vvXnoscce4zugT1F1E1kbsba67XhhtE3W6T/XAmjHMqH3cWgSxw3iJCQL3NtjU2fZzp+0I63dwlvtTkH+8mal3bnNsB7WtZ4xDSVq5rYYSpTkfNuN0n5mMvZUcEH7KtR1YdwtWcTug9St392nlqvGelm3ASdO3CnUjBIRK7dcjIjoJaGn9Wq5GBHRS43wEu7v7/MtEJjf+q3fmpyc5DugH1FudLab8NJ81AXrSujqP9d4YLIftBkxrecW62dXbpDgTIbOd83E2LxfdPWy2VOkwjDzdFvakZZ+bta6Zba3cWxsTCG6GQbWG8/MizPlslBi3VhdSc43NkqkmWET4dZPFyyDWacaPqQD2ytvAlcrs8qY91bQ2Ch0ng7yAVPTbzIiVm5KjAjrJaGn9WpKjN60l4TQEr744ot8C4Th4Ycf5lsitGe/Zk8MAnqaBquw2L3EahFWOrHf6wy/NTNcrYeSBO3fi0dcBEjQf50VKqrWcBUWmtqwexkPdl/NMnV9x2vVkLrfB0dQmXz1eiU+5aORJOelRuk6/gUgntqZTnLBq9gq+F9FNmovrM1GMYe7uUqEzCgV+aXLabTVytLsVRaj+3qpE229YK8QhJHwve99709+8hO+AwLzxhtvvPvd7/7V/P+Z1moLDx08RKfFYYRYBQ1EC3tubYL3KiwAAADA4QDTa6tx11138RwEfUfTE+IAAAAAfcHCQgQjoj0A5hLqY+AmAgAAAJTV1dWVlRW+AwIzODjIt0DfATcRAAAA4HzhC1/4t3/7N74DgnFwcMC3QN8BNxEAAADgvPTSS5/73Of4DggG5hLqY+AmAgAAAFWuXLmSSqX29vb4PmgE5hLqY+AmAgAAADUQT/HOO+985pln+D7w5/XXX7969SrfAX0H3EQAAADAzcsvv/z4449jJsWGEGf67bff5jug74CbCAAAALj55Cc/eeXKlfe97318H/iAWYT6G7iJAAAAQA3xeHxpaYnvAH9ILj3//PN8B/QjDRbrs+ErnkkXcQq1EppfguLSakGXfhJkqFmxSoT/JsRiQVwSU1iIz153SDhiL5nV1BJVNcJTKqklMgfpmhOM6r0kOa9qlI4hLjVWn3u+hc3vlG8eSk91HIlevkTfympiQK9u6dWv5dAfeW0jYXl5+dOf/jTfAT68/K+7X7v1G+VTZ7pVr4JOYK/UR/BerI/4RgfZ0/OJ1I5rSXhWQRxknVXV2c/ibEeKf4Lkec4eZPghmvjplLfX6gupAb2uitN7HQiJN4ZekpknogqpMcmF9IknR5PlOaAGVTOYVGKGSHJezSgdhFrZsbsoLcG/bMhOSfJQcqqTSISXEH0rq4kBvbqlF79135VDf2S1jZR7773XXoMOSPj5z3/+G7//CLF7wFwFPYq80TmRKYyUJrLn53b5gSrx1BmDfJLyb4iNtcKqph8ba1RJSBJMjNLIXCXat7BeNPXk2XCv+PJcwdT02FG+axOfP5E0zPwpk+8HYXxsxLD2l7dKpj5ysqLT0ZhuFourlfRnRvVcvhgm1Sawc7vAAqWSnFczSkfZvD9bDWNQK2vGcdvKsrLhfyr6qAkffSuriQG9uqVXv5ZDGf61TQNmZuD4NODll1++7777nv/HLb4P+he5m7i5NODVhkugjpRmXnKaLaiTpxkjY0Ikj8X2XN+XkgQHdc3av8b3iMu3ddnShgfFi70SrIUm4iIxOatbufXA7SuU+MkR3SxtbVAZXBXf1iXTrmgSx/XSMq1w9SPtrxhnJpOGVXyUKSHJ+QBGiTD+ZUN2KvooCR99K6uJAb26pVe/lsM2cPPNNz/wwAN8B3ixtLT0v6197RPPfSJbSJJ3rnHBbq8L1WQHegbVISxHY1WvjjY3pLVc0aqL5IWk7nIjNsS3ApE4S/sOrttft4zEs2nDLK6E6zETHzumW5e3yDXl5ZLlqvgWts2p0cR4amKY+JH8WHMYaf6A+YXu2Vc7dVvZniTn22KUtjIUMzSr1HyMUJKHDbM3kkTfympiQK9u6aVGX+kVtLaZmJi44QYM7vTg9dffKGj/X+7PH/zt3/7tfzz1lexANjtBjE47fdJt+he09z/oIZp+GEgFwdoylpb5AYfy3HlSboJ2at7YKpmacSbFQ3PjqROz7sigb4Ks0wn5S09ZxYcqI04IxJmb0sxzwpEg0K9kq7TMLtrYIxWf3e4cP2LLs7me00fPxjTmRzbLwlLl6cou5izyTeYRK7W/2uu18M952akoQZ14Um/bWa2MJA+DZG/Eib6V1cSAXr1F7+sVvLa54447+BZg/PD1f/4vp05NTk6++92/OLu68uP3vMRPgMNBc27iyUyWVhAtaRAsrw3nTSM5bcd+LmqFnKWZ+4ECTY43MFEaKTiuQDx1Mak7XWcCQ1ucNWuPa7S5Xdfhprxc0qd0Vt2U93aIFxkq4ulLeW6laHp07qkPkVIkOd9Ko7QRewSilVtpoZx+eUiQnIou0beymhjQq7fofb1C1TaxWIxvAUbsxg/+348//txzz2EO7cOJqpt4bd/S9OSslnf6u4htEIpsLlViP9nhNY14azt74QJNYjdqsT9fCGiLs9hSSSdTcLU7b6ydb0tXOep0uqkPiEpyvi1GaQvx+dOs1m75DBpeeciRnIoe0beymhjQSzwVffpCr7C1zcHBAd8CjBvfcfPExATfAYcPVTeRtRFrq9uOF0bbZJ3+cy2AdogW+keHJnHc0EgtVuDeHpvcy3b+pH1s7Rbeak8L8pc3K+3ObYb1Aa/1jGkoUTO3xVCiJOfbbpQWMZOxZ25rwyxrHnlYQXIqekTfympiQK9u6aVGH+gVvrbZ29vjW6ACGuIPM8qNzuW1c6Y2lebDAlhXQlf/ucYDk/0Ypx2i9dyiq724cYIzGfLVaItBp0KounrZLJ0Qx8zTbWkfW/pBXOuWabv7rLFyTCG6GQbWdcbMi3PeslBi3TBtSc43Nkr3mWHz8Yaa3TcwHnlYQXKq67AZQ11T2UXfyo3FgF5R0qsxfaiXUm3z4osv8i1QwbchnnbfDzrNEOhRGqzCYnfpqEVY6cR+CBn1E9wTr458xrlC/ZIE7d+LR1wESNB/nRUqqtZwFRaa2rCw8gqD3VezTF3fcVc3nr8PjqAy+S73SnzKRyNJzkuN0m3iqZ3pJJeuii2npGxITknyUJ69HUMiPKOSJ/USRt/KMjGgl73JiIBe/VwOvZHVNhJuvPHGn/3sZzfddBPfB5r2xS9+8atf/SrZoKVIqy0hdAwTnRaHEWKpM9Az2EuwELxXYQEAAAAOE08++aS90Aiw+d3f/V2eNeDw0fSEOAAAAEAfsbAQrbho10FD/GEGbiIAAABQZX19/cknn+Q7h56f//znhUKB74DDB9xEAAAAoIYvfOEL5XK0BuR0i7/4i784wCRBhxi4iQAAAEANu7u7n/vc51577TW+f4hBE/whB24iAAAA4Ob555//0pe+xHcOK0888cTVq1f5DjiUwE0EAAAA3Nx+++1/+Id/yHcOJS+//PIjjzzCd8BhBW4iAAAA4Oaxxx47zOs7v/baa5lMBmvSALiJAAAAQA2f+tSnHnjgAb5z+CiXy/fdd9/zzz/P98EhBm4iAAAAUMPDDz/Mtw4fS0tLd955J3xEYNNgsT4bvuiZdBEn1xp6cvwSFFdXC7r0kyBD7dpTAvw3IdYR4pKYwkJ89pJEwhF78av2LVElyQ21UxFBXDTMQ0KP5b8SmYN03Zpb1WvDJ9hx1J4UyVVqCbYBXt7qKwcJ0dcL9hLpBb18UZLwF3/xF1999VW+c2h44403nnnmmYWFheeee44fAoBgr9RH8F6sj/hGB9nT84nUjmtJePb4HWSddd/Zz+JsR4p/guRlnz3I8EM08dMpb6/VF1IDel0Vp/c6EBJvDL0kM09EFVJjkgvpE9+FJstzoNVIckPtVESgEjp2F4sQo0Z+CYJqrUmwrYhSBX9SJFepJdhy/J9lGdHXC/YSib5eElQl/OQnP2kvUteX/MM//MOXBc6ePft7v/d7k5OT73jHO7j+AAjIG50TmcJIaSJ7fm6XH6gST50xyCcpj81srBVWNf3YWKNHUJJgYpRG5irRvoX1oqknz4Z7v5fnCqamx47yXZv4/ImkYeZPmXw/CONjI4a1v7xVMvWRkxWdjsZ0s1hcraQ/M6rn8sUwqYZBkhtqp6LC5v3ZahiDSqgZxysSzmTSU0EivnbZK9hh41Yk2FbUnhTJVWoJthzJsywh+nrBXiLR10uCuoR33HEH3+pHfvVXf/XKlSv/tcKjjz76ta99bX19/fr16/wXAAjI3cTNpQGvNlwCdaQ085Lz/qUOimaMjAmxKxbbc329SRIc1DVr/xrfIy7f1mVLGx4UL/ZKsBaaiIvE5Kxu5dZDOQrxkyO6WdraoDK4qpWtS6bthSSO66VlWuHqR4JUOyGR5IbaqV4gcdwIZKmZyaRhFR9t/MOgCbaVAE+KB5Kr1BJsPf7PsoTo6wV7ifSAXv40IWHfD3A+zD0vQVhUh7AcjVU9EhrMT2u5olUXyQtJ3eVGbIhvBSJxlvYdXLe/HRmJZ9OGWVwJ12MmPnZMty5vkWvKyyXLVa0sbJtTo4nx1MQw8SP5sfYgyQ21UxFkKGZoVskOb9BK3PrekN2UT/92Ul4OLosQUCee79eikGCbUXtSJFe15dHrFNHXC/YS6Wm9mpDwoN/XpjvMg7hBWJoe6UweP9aWsbTMDziU585nB7JBOzVvbJVMzThTeZGPp05UxmE4+CbIOqCQv/SUVXyoMuKEQJy5Kc08JxwJAv0GtUrL7KKNPVKt2O3O8SO2PJvrOX30bExjfmS7kOSG2qlIQp144tTZWc0wLoxuD2SJlbMDi0UtOV3fg8qOEPjYVCXBjuH/pMiQXKWWYESIvl6wl0hP6xVewr6fLPB973vfRz/6Ub4DgJTm3MSTmSx9/MK3ZXhQXhvOm0Zy2g78XNQKOUsz9wP1o1lYYn5ANjtRGik4rdLx1MWk7nRMCQxtcdasPa7R5nZdd5byckmf0pkvUt7bIV5kO6J1ktxQOxU5Emx4spVbEQtPtWMl0eWcqU1NuIbg1AeMHdQS7BBqT4rkqlY+eh0n+nrBXiI9rZeShC+++CLf6l/6u/8laCGqbuK1fUvTk7Na3unvIkb4Fdlc4oGfbHZ4TSPe2s5euIid2Ek5cA+2WmiLs6YZadvTohFKslfb7ryxdl6hl09oJLmhdipCxOdPM5fOPT9Fg46e/uFhxQQ7gNqTIrmqLY9ep4i+XrCXSE/r1YSEV69efeutt/hOnzI4OMi3AJCi6iay9k1tddvxwmibrG+PMQVoxzKh93FoEscN4iQkC9zbY1Nn2c6fdHoUu03zVMXTon95s9Lu3D0kuaF2qqvMZOyZ22pdut19mtHV0Cxr5XfCuhQaStTM7fpQomqCnUDtSZFc1fZHr51EXy/YS6Sn9WpCQnsGQb7Tp9xwQ9NdzsDhQLmg2E14aWdKqhOzuivM03hgsh/jtLuxnlt0tRc3TpBOgMKjTXSelKqrl83SCXHMPN2WTo9CPzddjgjzNo6NjXUrMueTGxS1U91lhs126zG7r6tRuG6IOgsleoxcVk6wQzR+Utjkjq6p7CRXNU4wIvSmXrBX3+jVlIQLC1GrOlsMpr8BAWmwCovd36sWYaUT+w3NqF/fgnh10/TFXNMOKEnQ/r14xEWABP0nyaOiag2n0KOpDQsrrzDYfTXL1PUdty/i+fuWIMkNtVPRIJ7amU7yIlPFKTyC/O4WZGboevuqJ9hRZE9KRYV6T1dylfTR6wySZ5nRq3pRYC+R6NtLQhMSPvXUU5/97Gf5Tt/x0EMPfeMb3+A7AEiwl2AheK/CAgAAABw+br311nK5bK9c0n/8+q//OtcTACmB1nQGAAAADhuTk5NXrlx517vexff7hddff/2rX/0q3/Hi+vXre3t7L7744tWrV9E8fdixQ4kERBMBAAAAh0984hPf+c53ePztUPLaa6898cQT99xzz0033cQzBRw2uJMINxEAAABgxOPx5eVl7iuBg4M333zz6aefJv4izyBweOBOItxEAAAAQNM++clP/uhHP+L+Eajlm9/8JpzFwwV3EuEmAgAAOPR86lOf4g4R8Ofpp5/+wAc+wLMM9DWYYBMAAACg3H777UtLS3wH+POZz3zmhRde+PjHP873Qf8CNxEAAACgPPbYY1jFLiC33XbblStX4Cn2PXATAQAAAO2+++574IEH+A4IwE033fTEE0/ccsstfB/0I3ATAQAAAG1mxl7XD4TgQx/60GOPPcZ3QD8SaHptvuKZdBGnUCuh+SUoLq0WdGElQYbatacE+G/8l/Krg0tiCgvxjadOF5K6cMRe/Kr5JapUslftVDQQFw3zyD1B/srZROYgzQ8JuK+tt7KQlG/Z6BS+VpYQfSuriQG9uqVXv5ZDKQFVfs973vPTn/6U74CQTE5OPvfcc3wH9Bn2MGeC90hn4hsdZE/PJ1I7riXhWQVxkHVWVWc/i7MdKf4JEu8he5Dhh2jip1MhF4Uh1YHXVXF6rwMh8cbQSzLzRFQhNSa5kD7xXWiyPAfUUMtetVPRgFrZ0VSUllFTBiR4FI8GVvYpGx1BYmUJ0beymhjQq1t68Vv3XTmUEEblVCrFB/GC8DzxxBM8H0HfIW90TmQKI6WJ7Pm5XX6gSjx1xiDfZzycs7FWWNX0Y2ONKglJgolRGpmrxIEW1oumnjwbuC5jlOcKpqbHjvJdm/j8iaRh5k+ZfD8I42MjhrW/vFUy9ZGTFZ2OxnSzWFytpD8zqufyxTCp1qGWvWqnosLm/dnqNz21smYcr1h5JpOeChLxtdUsiKHBhlb2LBsdQWJlCdG3spoY0KtbevVrOZQQTuU77riDb4HwPPjggzfcgD5s/YncrptLAz7tdNSR0sxLzgudOnmaMTImRGtY/Mb1fSlJcFDXrP1rfI+81rcuW9rwoHixV4K10ERcJCZndSu33sjzqCF+ckQ3S1sbVAZXxbd1ybTdmsRxvbRMax/9iHLFqJS9aqd6gcRxI5ClZiaThlV8VPxhACt7lI3O4G9lCdG3spoY0KtbevVrOZQRTuVYLMa3QHhuvvnmiYkJvgP6C1X3/2is6tXRwH5ayxWtZqM1dZcbsSG+FYjEWdp3cN3+umUknk0bZnElXI+Z+Ngx3bq8Ra4pL5csV8W3sG1OjSbGUxPDxI/kx1qPJHvVTkWUoZihWSX7W5++ZqzvDdlN+fRvJ+XlgLMYBnXi+T4hiJXry0akib6V1cSAXt3SS41+1Qu0AYRj+5Wmo8SkgmCB/aVlfsChPHc+O5AN2ql5Y6tkasaZimcwnjox647++CbIusiQv/SUVXyoMuKEQJy5Kc08JxwJAv1KtkrL7KKNPVLx2e3O8SO2PJvrOX30bExjfmTb8c9exVNRgrp3xEu0s5phXBjdHsgSK2cHFotacrq+O5EdwxBtKreyX9noFaJvZTUxoFdv0a96Cezv7/MtoATCsf1Kc27iyUyWVhDh2zI8KK8N500jOW1Hki5qhZylmfuBOpUsLDHHIpudKI0UnFbpeOpiUne6zgSGtjhr1h7XaHO7rsNNebmkT+nMuSnv7RAvMlTEMwyS7FU7FSXs8c5WbkWUs9o5lZSHc6Y2NeEadFIXFGxkZe+y0SNE38pqYkCv3qJf9arlxRdf5FtACfRN7FdU7Xpt39L05KyWdzp/iG0Qimwu2W908je8phFvbWcvXPhH7Ebt0YMtCLTFWdOMtO2t0ihUXYebjbXzCr18QiHJXrVTESM+f5r5iO4ZNBp09KwPHAa3chS72PsTfSuriQG9xFPRp1/18uLq1at8Cyhx/fp1vgX6C1U3kbURa6vbzvuZtsnW9hhrDtpTTegfHZrEcYN4HckC9/bY5F628yedb8Vu0zxV8VbpX96stDt3Dkn2qp2KFDMZexqzWh9xd59mdDU0y1r5nbAuhYYSNXNb7HuqZuXoE30rq4kBvbqllxr9qpcXP/vZz771rW/xHRCevb09vgX6C+Uosd0mmHYmzToxq7v6hzUemOzHOO0QrecWXS2JjROkM6rwaBOdeKXq6mWzdKoUM0+3pfOt0A/iGkeEuy/HxsYUopvqSLJX7VRkmGHz8XpMdetqZa4bvMxCia7hzCGsLJSNqMFmi3TN6xZ9KzcWA3pFSa/G9KtewVlY8Ou8AhqDVvt+pcEqLHYHslqE1SzsVz6jfjkN4tVN0zd9TcOiJEH79+IRFwES9J91j4qqNZyTj6Y2LKy8wmD31SxT13fczo3n74Ojnr1qp7pPPLUzneTSVXHkFMqAu0ma5VWjWRVrrRy0bLSZBlZ28kS6DE9ErSwTA3rZm4wI6NXP5dCHRip78Mwzz2BZZwVeffXV97znPXwH9BOa9j8BooZJRT4bZisAAAAASUVORK5CYII=" alt="f9730eef42f6589bb2affb0d2fb95793.png" />
可以查看pid为12186的进程在占用着CPU 0，并且对CPU 0的使用率为100%，还是system消耗了 CPU 0 100%的cpu
mpstat -P ALL 1信息
使用ps 命令查看该进程中线程的cpu消耗情况
ps -mp 12186 -o THREAD,tid,time
USER %CPU PRI SCNT WCHAN USER SYSTEM TID TIME
actiont+ 176 - - - - - - 43-18:00:43
actiont+ 0.0 19 - futex_ - - 12186 00:00:00
actiont+ 0.1 19 - poll_s - - 12187 00:48:52
actiont+ 0.0 19 - futex_ - - 12188 00:00:00
actiont+ 0.0 19 - futex_ - - 12189 00:00:00
actiont+ 14.0 19 - - - - 12190 3-11:26:12
actiont+ 0.0 19 - futex_ - - 12191 00:00:00
actiont+ 0.0 19 - futex_ - - 12192 00:02:23
actiont+ 13.0 19 - futex_ - - 12193 3-05:45:42
actiont+ 14.1 19 - futex_ - - 12194 3-12:11:30
actiont+ 14.0 19 - futex_ - - 12195 3-11:34:00
actiont+ 14.1 19 - futex_ - - 12196 3-12:14:18
actiont+ 14.1 19 - ep_pol - - 12197 3-12:19:48
actiont+ 13.1 19 - futex_ - - 12198 3-06:23:27
actiont+ 14.1 19 - futex_ - - 12199 3-12:28:19
actiont+ 0.0 19 - do_wai - - 12421 00:00:13
actiont+ 13.7 19 - futex_ - - 27303 3-09:20:12
actiont+ 13.4 19 - futex_ - - 7804 3-07:34:37
actiont+ 0.0 19 - do_wai - - 6723 00:00:11
actiont+ 12.6 19 - futex_ - - 826 3-02:25:45
actiont+ 13.2 19 - - - - 31261 2-22:07:06
actiont+ 15.8 19 - futex_ - - 7988 3-11:18:01
可见，TID为7988的线程消耗了进程为12186 15.8%的cpu
使用strace来查看该进程中7988线程的系统调用情况
strace -cp 7988
>strace: Process 7988 attached
^Cstrace: Process 7988 detached
% time seconds usecs/call calls errors syscall
74.32 55.526790 20214 2747 519 futex
14.29 10.680398 11 937750 937750 openat
11.36 8.490304 58153 146 epoll_wait
0.02 0.011516 104 111 sched_yield
0.00 0.001953 36 55 write
0.00 0.000962 64 15 8 read
0.00 0.000888 63 14 pselect6
0.00 0.000860 13 67 46 stat
0.00 0.000396 99 4 close
0.00 0.000302 101 3 3 connect
0.00 0.000238 11 21 21 mkdirat
0.00 0.000233 11 21 21 lstat
0.00 0.000181 12 15 setsockopt
0.00 0.000092 13 7 epoll_ctl
0.00 0.000083 14 6 getpeername
0.00 0.000074 12 6 getsockopt
0.00 0.000058 10 6 getsockname
0.00 0.000047 16 3 socket
可见，调用时间最久的是futex系统调用
使用pstack 查看进程堆栈信息
安装gdb会自带把pstack安装起
yum -y install gdb
pstack 12186
Thread 14 (Thread 0x7f510d756700 (LWP 12194)):
#0 0x0000000000461bd3 in runtime.futex ()
#1 0x0000000000430230 in runtime.futexsleep ()
#2 0x0000000001178280 in runtime.timers ()
#3 0x0000000000000000 in ?? ()
Thread 13 (Thread 0x7f510cf55700 (LWP 12195)):
#0 0x0000000000461bd3 in runtime.futex ()
#1 0x00000000004301bb in runtime.futexsleep ()
#2 0x000000c420099948 in ?? ()
#3 0x0000000000000000 in ?? ()
Thread 12 (Thread 0x7f50f7fff700 (LWP 12196)):
#0 0x0000000000461bd3 in runtime.futex ()
#1 0x00000000004301bb in runtime.futexsleep ()
#2 0x000000c42004f548 in ?? ()
#3 0x0000000000000000 in ?? ()
Thread 11 (Thread 0x7f50f77fe700 (LWP 12197)):
#0 0x0000000000461bd3 in runtime.futex ()
#1 0x00000000004301bb in runtime.futexsleep ()
#2 0x000000c42007f148 in ?? ()
#3 0x0000000000000000 in ?? ()
Thread 10 (Thread 0x7f50f6ffd700 (LWP 12198)):
#0 0x0000000000461bd3 in runtime.futex ()
#1 0x0000000000430230 in runtime.futexsleep ()
#2 0x0000000001178100 in runtime.timers ()
#3 0x0000000000000000 in ?? ()
Thread 9 (Thread 0x7f50f67fc700 (LWP 12199)):
#0 0x0000000000461bd3 in runtime.futex ()
#1 0x00000000004301bb in runtime.futexsleep ()
...
Thread 2 (Thread 0x7f50e67fc700 (LWP 7988)):
#0 0x0000000000461d79 in runtime.epollwait ()
#1 0x000000000043006c in runtime.netpoll ()
#2 0x00007f5000000004 in ?? ()
#3 0x00007f50e67fb768 in ?? ()
#4 0xffffffff00000080 in ?? ()
#5 0x0000000000000000 in ?? ()
Thread 1 (Thread 0x7f5111cd3740 (LWP 12186)):
#0 0x0000000000461bd3 in runtime.futex ()
#1 0x00000000004301bb in runtime.futexsleep ()
#2 0x0000000001174c88 in runtime.m0 ()
#3 0x0000000000000000 in ?? ()
可见，进程12186线程中最消耗cpu的线程都在调用futex，futexsleep