独孤伊人 发表于 2021-4-14 18:08:43

【求助】udf编译速度和浓度梯度的协同角场怎么查看结果?

自己写了个udf,能load没有出错。但是就是看不了结果。会看速度和温度梯度的协同角场,就是网上solve/set/expert.....那套路,但是照着方法看浓度梯度的就不行,直接execute on demand 会报错。求帮忙,感谢好人!
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ABAgQIECBAgAABAgQIECBAgAABAgSeLfDPX8GfveOk/rv99VCTY37qdL1IqOM7D/fM2neeUy0CBAgQIECAAAECBAgQIECAAAECBAgQ+D4CLi3e/LMclwfxfvOjOh4BAgQIECBAgAABAgQIECBAgAABAgQIEHhIwKXFQ3ySCRAgQIAAAQIECBAgQIAAAQIECBAgQIAAgbsEXFrcJakOAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8JCAS4uH+CQTIECAAAECBAgQIECAAAECBAgQIECAAAECdwm4tLhLUh0CBAgQIECAAAECBAgQIECAAAECBAgQIEDgIQGXFg/xSSZAgAABAgQIECBAgAABAgQIECBAgAABAgTuErh0afHHn3/9ru9HD/Tx8fFoiVvyf/369Tu/bym6WWTs++pXPOur97UfAQIECBAgQIAAAQIECBAgQIAAAQIECBCoApd+JR8XFne/3uXSYjxXvjzI/buf+RX1ds6/E/OKs9qDAAECBAgQIECAAAECBAgQIECAAAECBH62gEuL5vOvP+LXcZPydlNx5tp2B42Ybs0cAQIECBAgQIAAAQIECBAgQIAAAQIECBB4lcDlS4v810Pdcdh3/ZMW49nqj/pjHO949hjnNtaina0dzccZRtyZ16xurhcxte7ZvWq+MQECBAgQIECAAAECBAgQIECAAAECBAgQOCtw7lfw/1Svfz1UHZ89xIj/KpcW9cf8PI5+bcfzxVzY1HEXE3M5Nvej1qwdsfHOMbVGHedYfQIECBAgQIAAAQIECBAgQIAAAQIECBAg8CqBS5cW9XAuLf4tEj/+1zZ7jbV45/nRj7w8X+fqOMfmfsTVttsnYnK+PgECBAgQIECAAAECBAgQIECAAAECBAgQeLXApUuLeklRx1ce4rv/SYthki8Hcj+8dua6mMjv2i6+ztVxV8ccAQIECBAgQIAAAQIECBAgQIAAAQIECBB4toBLi0Y4/4if+yN0NY612h7lxREiL8a7eTl+p1/3qeOdGmIIECBAgAABAgQIECBAgAABAgQIECBAgMDdApcuLcYhxp+uiPcdh3qXP2kxfsDP7+7ZuvWYG/GjH2308zhiYy2Po1/ju/GYu/qKfXKba415LwIECBAgQIAAAQIECBAgQIAAAQIECBAg8EqBt/ll+l0uLV6J/857ubR450/H2QgQIECAAAECBAgQIECAAAECBAgQIPA9BVxafM/P1VMRIECAAAECBAgQIECAAAECBAgQIECAAIEvJ+DS4st9ZA5MgAABAgQIECBAgAABAgQIECBAgAABAgS+p4BLi+/5uXoqAgQIECBAgAABAgQIECBAgAABAgQIECDw5QRcWny5j8yBCRAgQIAAAQIECBAgQIAAAQIECBAgQIDA9xRwafE9P1dPRYAAAQIECBAgQIAAAQIECBAgQIAAAQIEvpyAS4sv95E5MAECBAgQIECAAAECBAgQIECAAAECBAgQ+J4CD11a/PHnX7/H+47Xx8fHHWVuqfHr16/f9T0Kx9wtm1wo8tn7XziyFAIECBAgQIAAAQIECBAgQIAAAQIECBAgsC1w+dIiX1bk/vbOJfDdLi3G8cYlQW5r/38XX/x/xJl2t53Fz+Z364ojQIAAAQIECBAgQIAAAQIECBAgQIAAAQJ3C1y6tLjjkqI+yDtdWsTZuh/2u7mIf0W7u3/E1TbOGPMx1hIgQIAAAQIECBAgQIAAAQIECBAgQIAAgc8WeOjSYlxe3HWB8dUuLcaP/vWH/zyX+/Ehx1zNG+u7a11u1K9tVzPPRb/mxXm6eXMECBAgQIAAAQIECBAgQIAAAQIECBAgQOBZApcvLfJlRe5fPehXurTIFwe5P559dhHQxYXV1bXIn7Vxllo/zjnLM0+AAAECBAgQIECAAAECBAgQIECAAAECBD5D4PKlRT7sT7u0yM9eLwTqOGLzBUL0Yy3amM81cn/E1XHk1jbiahtxMR9jLQECBAgQIECAAAECBAgQIECAAAECBAgQ+GwBlxaLT6D7Yb/OHY2jfI2L+Wjz+qw/YvNa5K7aWfxsflXLGgECBAgQIECAAAECBAgQIECAAAECBAgQeKaAS4uFbvfDfp07Gkf5VdzVtah9pc175v6VWnIIECBAgAABAgQIECBAgAABAgQIECBAgMAdApcuLcbG46+EivcdB3m3f9Ni/JAf73i+GMeP/KtxxETuaGv8bC3iYj3GuY21R9qo19UYa14ECBAgQIAAAQIECBAgQIAAAQIECBAgQOCVAm/zy/S7XVq88kN4x71cWrzjp+JMBAgQIECAAAECBAgQIECAAAECBAgQ+N4CLi2+9+fr6QgQIECAAAECBAgQIECAAAECBAgQIECAwJcRcGnxZT4qByVAgAABAgQIECBAgAABAgQIECBAgAABAt9bwKXF9/58PR0BAgQIECBAgAABAgQIECBAgAABAgQIEPgyAi4tvsxH5aAECBAgQIAAAQIECBAgQIAAAQIECBAgQOB7C7i0+N6fr6cjQIAAAQIECBAgQIAAAQIECBAgQIAAAQJfRsClxZf5qByUAAECBAgQIECAAAECBAgQIECAAAECBAh8b4FLlxZ//PnX7/p+lOnj4+PREp+e/+vXr9/xroeJ+dF6ESBAgAABAgQIECBAgAABAgQIECBAgAABAv8UuPQL+riwyK86zmu7/e9waRHPurqYWK1Ffm2v5NQaxgQIECBAgAABAgQIECBAgAABAgQIECBA4N0FLl1a5Ie648Ji1HNpkVX/3ndp8XcPIwIECBAgQIAAAQIECBAgQIAAAQIECBD4ngIuLSaf67goyO8cNpuPmNUlw2ot8qPN+0Q/1nbayIm25ox5LwIECBAgQIAAAQIECBAgQIAAAQIECBAg8C4CD/9q/R3/pEX9MT+Pc398iHU8m4sPvIuPtVl7R86VGrPzmCdAgAABAgQIECBAgAABAgQIECBAgAABAs8QeOjS4q4Li/Fg7/TXQ61+4B9r9V0/mKP8Gn80XtWb5V7JmdUyT4AAAQIECBAgQIAAAQIECBAgQIAAAQIEXiHg0qJRXv3gv1qLUquY1Vrk1/ZVOXVfYwIECBAgQIAAAQIECBAgQIAAAQIECBAg8EoBlxaNdr0kyOPcH6l1PJuLbbr4WJu1OSf3Z/FjvsbV8SrXGgECBAgQIECAAAECBAgQIECAAAECBAgQ+AwBlxYT9fEjf7xrSMzXi4A8H/3IjXFuY22njbyd2IiJnNF2r9l8F2uOAAECBAgQIECAAAECBAgQIECAAAECBAg8W6D/NfvZuzb13+nftGiO9y2nXFp8y4/VQxEgQIAAAQIECBAgQIAAAQIECBAgQODLCri0+OSPLv9piNz/5GPZngABAgQIECBAgAABAgQIECBAgAABAgQIvFzApcXLyW1IgAABAgQIECBAgAABAgQIECBAgAABAgQIdAIuLToVcwQIECBAgAABAgQIECBAgAABAgQIECBAgMDLBVxavJzchgQIECBAgAABAgQIECBAgAABAgQIECBAgEAn4NKiUzFHgAABAgQIECBAgAABAgQIECBAgAABAgQIvFzApcXLyW14VWD8Q+U7r924nVpiCBAgQIAAAQIECBAgQIAAAQIECBAgQOB1Anu/Ajfn+ePPv37Hu1k+PfXx8XE65xUJ4wfwV/wIHvs8e6+8z7P3qp/PI/vNcs/O1zMZEyBAgAABAgQIECBAgAABAgQIECBAgMD7CFy6tBiXFflVx3ltt/+ulxbj/LMfxnef7Sgu18/9o7yrZ8t75P7Ofp8V051zzHXzV10+69nsS4AAAQIECBAgQIAAAQIECBAgQIAAAQL/FnBpsfFNmP0wvpF6GPJo7Sv5NaeODw/94oDV+a6uvfgRbEeAAAECBAgQIECAAAECBAgQIECAAAECGwIuLSZI48fw/J6E/d90js39/wuYdEbs0aurl+eif1Qn1uue3bjWjHFuo160s7Wj+ZEfMVErt2Nt9nrG2mwv8wQIECBAgAABAgQIECBAgAABAgQIECDwXIH5r8EH+8a/Z3HHXw01tnqnvx6q/hBexwc0p5aPatf1o/HO5qsaO2sRE+3YM/e78Wou5+Z+PEs39+ha5GsJECBAgAABAgQIECBAgAABAgQIECBA4H0ELl1a1IuKOr7yeF/90mL8sN69jyzyD/I5P/LyXPRjbbQ5P8+v+jUnj3O/1o+12ua9xlq883ytFWtRazae5a3id9YiRkuAAAECBAgQIECAAAECBAgQIECAAAEC7yPg0qL5LHZ+SG/SLk0d7VXX6yZH6zV+jGtOHud+jY212sYeMV/zuvXZXK4xi4n50Xbxsb5aixgtAQIECBAgQIAAAQIECBAgQIAAAQIECLyPgEuL5rOoP3bXcZPy0FSun/uj6JlxjZ0dKsfl/tF+EVvbo7w4R+TFeDevi4saXc1VfORpCRAgQIAAAQIECBAgQIAAAQIECBAgQOD9BC5dWozH+M7/psV4vvFjeH0/8+OLvbo9Ym203SvWu7U6F7HR1vUxjrXRxivmYj3aLiZiYy2Po5/zu7jYN9qIiXGXX9fyuPa7ejXGmAABAgQIECBAgAABAgQIECBAgAABAgReK/DfX6Vfu+8/dnunf9PiH4cz8RYCuxcNO3E7MW/x0A5BgAABAgQIECBAgAABAgQIECBAgACBHyTg0uIbftjjB/nu/Q0f1SMRIECAAAECBAgQIECAAAECBAgQIECAwDcScGnxjT5Mj0KAAAECBAgQIECAAAECBAgQIECAAAECBL6ygEuLr/zpOTsBAgQIECBAgAABAgQIECBAgAABAgQIEPhGAi4tvtGH6VEIECBAgAABAgQIECBAgAABAgQIECBAgMBXFnBp8ZU/PWcnQIAAAQIECBAgQIAAAQIECBAgQIAAAQLfSMClxTf6ML/Do4x/QPyzXp+592c9s30JECBAgAABAgQIECBAgAABAgQIECDwTgKXfyH+48+/fsf7nR7omWcZP2p/5g/bZ/aP2M8879nP4tVnDaN8zlefIe+tT4AAAQIECBAgQIAAAQIECBAgQIAAgZ8ucOnSYlxW5Fcd57Wu//Hx8fvo3eW9cm724/Vs/lVnO7v/2fhXPUe3T3fWbq7LvTpX69fx1bryCBAgQIAAAQIECBAgQIAAAQIECBAgQOC8wKddWqyOOi40Pvs1+/F6Nv+q857d/2z8q56j7jM752y+5l8dd/W7uav15REgQIAAAQIECBAgQIAAAQIECBAgQIDAvoBLi2I1frCu7xwSP2hHTF3bWY+YLvdorVvPdWp/Fj/m493l1LUY57bmrcY5b/Trq87V+Lpe88+Ma+2ae+detbYxAQIECBAgQIAAAQIECBAgQIAAAQIECMwF/vnr8Tz2/1byXwd15d+1OPqTFEfr/3eQJ3ZmP1zHD96xdY2r66u4R9cif9XW843YOpfHuV9jV2tnzlDr1H1yrS42r5/t13p1vDrL2b3EEyBAgAABAgQIECBAgAABAgQIECBAgMA5gUuXFmOLfFmRLzF2to9LiX/961+/63vkx/pOrWfFdD9mj73q/NE4zjfi6jvWos3reS76o6375bWu38XXuTzO/brfaq3bO+ZqXszndhYzm8+5Z/q1Xh2PWt3cmT3EEiBAgAABAgQIECBAgAABAgQIECBAgMA1gcuXFnm7q5cWuUbuf9dLi/yMtZ9/KJ/1R05eqzW6cRdf5/I49+t+q7Vu75ireTGf21nMbD7nnunXenU8anVzZ/YQS4AAAQIECBAgQIAAAQIECBAgQIAAAQLXBC5dWuRLitzfPcLRpcTR+u4+j8TlH65n/VE/r3XjOMMq7upa1F61tXZ3xhyT+zV2tXbmDLVO5Hbzea728zhqHLU152h8VM86AQIECBAgQIAAAQIECBAgQIAAAQIECNwncOnSYmw/LiuuXFiM3KNLiaP1+x5/XWn8oJ1/1I5xzK3GEZN3qPGztYiL9RjnNtZmbY6Nfo6NudHW12wtz3d5tXc6zt4AACAASURBVE4e59w8n/uzmpGbY0d/Fl/j6jjq5TZirtaMfC0BAgQIECBAgAABAgQIECBAgAABAgQIXBf45y/W12ttZ45LiaP3djGBLxN4xQ/6u3vsxp3BeUbNM/uLJUCAAAECBAgQIECAAAECBAgQIECAwE8X+JRLi5+Ofsfzjx/Yu/cdtbsaea+6ntdyv8YZEyBAgAABAgQIECBAgAABAgQIECBAgACBlcDbXFq8y18JtcKyRoAAAQIECBAgQIAAAQIECBAgQIAAAQIECDxPwKXF82xVJkCAAAECBAgQIECAAAECBAgQIECAAAECBE4IuLQ4gSWUAAECBAgQIECAAAECBAgQIECAAAECBAgQeJ6AS4vn2apMgAABAgQIECBAgAABAgQIECBAgAABAgQInBBwaXGAFf+w9EGYZQIECBAgQIAAAQIECBAgQIAAAQIECBAgQOBBgcNLiz/+/KvdYszHuw04Ofmu/xD3uLTwIkCAAAECBAgQIECAAAECBAgQIECAAAECBJ4vsPxFfnYpUS8y6vjKsV1aXFGTQ4AAAQIECBAgQIAAAQIECBAgQIAAAQIEvo/A8tJiPGZ3IVHn6vgKj0uLK2pyCBAgQIAAAQIECBAgQIAAAQIECBAgQIDA9xFwaXHwWfrroQ6ALBMgQIAAAQIECBAgQIAAAQIECBAgQIAAgZsEXFosIF1YLHAsESBAgAABAgQIECBAgAABAgQIECBAgACBmwVcWhyAurg4ALJMgAABAgQIECBAgAABAgQIECBAgAABAgRuEnBpcQDp0uIAyDIBAgQIECBAgAABAgQIECBAgAABAgQIELhJwKXFAaRLiwMgywQIECBAgAABAgQIECBAgAABAgQIECBA4CaB5aXFH3/+9Tvedb+YH+0dr4+PjzvK3F7DpcXtpAoSIECAAAECBAgQIECAAAECBAgQIECAAIFWYHlp0WY8afKdLy1cXDzpQ1eWAAECBAgQIECAAAECBAgQIECAAAECBAgkAZcWCUOXAAECBAgQIECAAAECBAgQIECAAAECBAgQ+DwBlxafZ29nAgQIECBAgAABAgQIECBAgAABAgQIECBAIAm4tEgYugQIECBAgAABAgQIECBAgAABAgQIECBAgMDnCbi0+Dx7OxMgQIAAAQIECBAgQIAAAQIECBAgQIAAAQJJwKVFwtAlQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEPk/ApcXn2b9051+/3uajfulzf6XNdj+jVdxq7StZOCsBAgQIECBAgAABAgQIECBAgAABAj9T4PCX7D/+/Gsqs1qbJk0WPj4+Jis/Z3p1rzDWVusrpfxD9uh375Gf52u9urYax1qtOebPvKJObmvNOs6x0Y89Y1zbWI92rOfXUXyOzf2aV+vW2Dw+6t9Z62gv6wQIECBAgAABAgQIECBAgAABAgQIEHiVwN9/nS27jkuJ2cXEaq2U2Rq6tJgz5d/Qc3+e8feV+gP3alzXcqW6Vscj9miuW8975H7E1rbbJ2IeWYu9c61urluPuNrW2DqO+G6+m1vF76xFjJYAAQIECBAgQIAAAQIECBAgQIAAAQLvKLC8tBgHnl1aHK2dfViXFnOxKxcVUa374bubW8XP1ro6O3NdTOzRtV18ncvj3B/18jj3V3vVuKNxV6vu3Y1nc6v5sTZe9Uz/mT5cy3H6BAgQIECAAAECBAgQIECAAAECBAgQeCcBlxZv8GmMS4l45+PEXG7z+k6/+2E7z+X+qFfHeY+6Vsez/BpXx3mPrt/F17k8Hv38zjVrXF4b/ViPNtaPxhFX2528LmbM5XetO8Y1L8es1nKcPgECBAgQIECAAAECBAgQIECAAAECBN5JwKXFG30a43Kie83mu9g61/14nX8Mr+t1nOvVtToesTtzXUzep/a7+DFX35EX8dHG/GhnORETOdHW+dk45mt7tN+Ir3tFjdn8zvpRbtTQEiBAgAABAgQIECBAgAABAgQIECBA4J0EJj+T//eI/nqo/1o8uze7nJjN75yn+/E6z+X+qFfHeY+6Vsez/BpXx3mPrt/F17k8nvXr+XJc7Dvm4h1zNa8b59jc7/bI66taR7mr9dVa3d+YAAECBAgQIECAAAECBAgQIECAAAEC7yLg0uJdPon/vTDoD/PMS4u64+rH7rpWx6PWzlwXU8+Rx118ncvjWX92vtgr59XY1Vrkd23NOxNzlLtaX611ZzBHgAABAgQIECBAgAABAgQIECBAgACBdxBwafEOn8J/zjC7nJjN7x69/oBdx7lOXcvj3B85dbwz1+Xk/bt+l1Pn8jj365nuWKs1ujPH3G5sF5fncr8+U+wVbY2NeS0BAgQIECBAgAABAgQIECBAgAABAgTeXWB5aTH+aqh41weJ+dVfH1VzVuOPj4/V8rdeG5cS9R0PPJuP9Z02/4g9+vGuuTFf2xyX12bzETPWox9tztnpR95o41Xn8jj3u/i8Hv0RF/3R1nFei/WovWpz3iou9utiokZdW51jtVbrGBMgQIAAAQIECBAgQIAAAQIECBAgQOCdBP77S/Ann+onX1q8gt4P2a9QfmyP3c9oFbdae+x0sgkQIECAAAECBAgQIECAAAECBAgQIPB8AZcWzze2w0Rg/MDevSfhbzndnd/FwVt+VA5FgAABAgQIECBAgAABAgQIECBAgMAXEHBp8QU+JEckQIAAAQIECBAgQIAAAQIECBAgQIAAAQI/QcClxU/4lD0jAQIECBAgQIAAAQIECBAgQIAAAQIECBD4AgIuLb7Ah+SIBAgQIECAAAECBAgQIECAAAECBAgQIEDgJwi4tPgJn7JnJECAAAECBAgQIECAAAECBAgQIECAAAECX0DApcWbfUjxDzu/2bEchwABAgQIECBAgAABAgQIECBAgAABAgQIPF3g8NLijz//ag8x5uPdBpyc/Pj4OJnxPcPHpYUXAQIECBAgQIAAAQIECBAgQIAAAQIECBD4iQLLX8hnlxL1IqOOr0C6tPi3mkuLK98eOQQIECBAgAABAgQIECBAgAABAgQIECDwHQSWlxbjAbsLiTpXx1dgXFr8W82lxZVvjxwCBAgQIECAAAECBAgQIECAAAECBAgQ+A4Cly4t6oO7tKgi18cuLa7bySRAgAABAgQIECBAgAABAgQIECBAgACBry3w8KXFHRcWg9CftPj924XF1/4fk9MTIECAAAECBAgQIECAAAECBAgQIECAwGMCD11a3HVhMR7BpcW/P0gXF499oWUTIECAAAECBAgQIECAAAECBAgQIECAwNcVuHxpceeFxeBzafHvL5FLi6/7PyYnJ0CAAAECBAgQIECAAAECBAgQIECAAIHHBC5dWtQLizq+ciSXFv9Wc2lx5dsjhwABAgQIECBAgAABAgQIECBAgAABAgS+g8Dy0mJcRsQ7P2zM5TavX+m7tPi3mkuLK98eOQQIECBAgAABAgQIECBAgAABAgQIECDwHQSWlxavfECXFv/WHpcWLi5e+c2zFwECBAgQIECAAAECBAgQIECAAAECBAi8i4BLi3f5JJyDAAECBAgQIECAAAECBAgQIECAAAECBAj8cAGXFj/8C+DxCRAgQIAAAQIECBAgQIAAAQIECBAgQIDAuwi4tHiXT8I5CBAgQIAAAQIECBAgQIAAAQIECBAgQIDADxdwafHDvwAenwABAgQIECBAgAABAgQIECBAgAABAgQIvIuAS4t3+SScgwABAgQIECBAgAABAgQIECBAgAABAgQI/HABlxY//Avg8e8X+PXr8/5n9Zl73y+pIgECBAgQIECAAAECBAgQIECAAAECP03g8NfVP/78qzUZ8/FuA0y+pcD4UfuZP2w/s/YuaDzjZ5zlM/asLu9whnomYwIECBAgQIAAAQIECBAgQIAAAQIECOwILC8tZpcS9SKjjo82/vj4+H30Pqph/brAT/lR+zOe81V7rvZZrV3/1sgkQIAAAQIECBAgQIAAAQIECBAgQIDA8wWWlxZj+50LiZ2Y/CjjwmL1Olpf5Vo7FvgpP2q/+jlfud/RXkfrx98SEQQIECBAgAABAgQIECBAgAABAgQIEHi9gEuL15t/+o7jB+38rgfaXcs/jM9yYn7skft1z9k4cqKdxXXzI6d7Ra1uvVvLc9Gf1Z3NR95oH3nlOtHv6j26T1fTHAECBAgQIECAAAECBAgQIECAAAECBJ4tcPgL6upPUYy11frs8Ed/kuJofVbX/J5A/UE7j3N/VMvjWT/vmmNifszl+dyPmK6tcXXc5eS5Lr7O5XHujzp5nPt1LfasMV1cFxP5Z9qjOkfrZ/YSS4AAAQIECBAgQIAAAQIECBAgQIAAgVcJPHRpEYc8e3ERlxL/+te/ftf3qBnrUV97r0D9QTuPR7++Y/caF/O5zTExX+fqOOJquxtX82Lc5de5PM79USOPc7+undkvYh9t63lqvaP1Gm9MgAABAgQIECBAgAABAgQIECBAgACBdxD41EuLGYBLi5nMPfP1B+08zv1ut7G+iunW6lwdd/uMud24M/m1Zh7nft1/tRb715haI+LuaLu9ct2j9RyrT4AAAQIECBAgQIAAAQIECBAgQIAAgXcRuHRpUf9kRR0fPdzRpcTR+lF962uB+oN2Huf+qJLHuT/boYupc3W8W2s3L+p18XUuj3P/6Nlr7GzPGpfHo5/HUWOnzXm5X8+9U0sMAQIECBAgQIAAAQIECBAgQIAAAQIE3kVgeWkxLiPiXQ8c82cvLEado0uJo/V6FuNzAvFjebQ1O+brj+EjbraW56PfxcfaaHdeZ+PrnpGf94q57gyztTzf5UX9bi3nRly0XXysHbVRt8Y9UrPWMiZAgAABAgQIECBAgAABAgQIECBAgMArBfZ+Ob75RONS4uh985bK3SBQfwyv4xu2eNsSZ551N3Y37gzKM2qe2V8sAQIECBAgQIAAAQIECBAgQIAAAQIEHhH4lEuLRw4s93MFxo/i8X70JFGntkd1a3yMj/Kurkf90XoRIECAAAECBAgQIECAAAECBAgQIECAwPME3uZXWH8l1PM+ZJUJECBAgAABAgQIECBAgAABAgQIECBAgMBXEHBp8RU+JWckQIAAAQIECBAgQIAAAQIECBAgQIAAAQI/QMClxQ/4kD0iAQIECBAgQIAAAQIECBAgQIAAAQIECBD4CgIuLb7Cp+SMBAgQIECAAAECBAgQIECAAAECBAgQIEDgBwi4tPgBH/LqEeMfmV7FWCNAgAABAgQIECBAgAABAgQIECBAgAABAq8QOLy0+OPPv5bnOFpfJqdF/xB3wnhhd1xaeBEgQIAAAQIECBAgQIAAAQIECBAgQIAAgXcQWP5iPS4kji4ljtZ3H9Klxa7UvXEuLe71VI0AAQIECBAgQIAAAQIECBAgQIAAAQIErgssLy1G2dWlxM6lxu7RXFrsSt0b59LiXk/VCBAgQIAAAQIECBAgQIAAAQIECBAgQOC6wOVLi7jMiPb6Ef6d6dLiUcFr+S4trrnJIkCAAAECBAgQIECAAAECBAgQIECAAIH7BVxa3G/6ZSq6sPgyH5WDEiBAgAABAgQIECBAgAABAgQIECBA4EcIXLq0yH+6IvcfEfMnLR7Ru57r4uK6nUwCBAgQIECAAAECBAgQIECAAAECBAgQuFfg8qXFuKzI70eP5dLiUcFr+S4trrnJIkCAAAECBAgQIECAAAECBAgQIECAAIH7BS5dWuRj+JMWWePr9V1afL3PzIkJECBAgAABAgQIECBAgAABAgQIECDwXQWWlxZHf5LiaP0Mmj9pcUbrvliXFvdZqkSAAAECBAgQIECAAAECBAgQIECAAAECjwksLy0eK30u26XFOa+7oselhYuLuzTVIUCAAAECBAgQIECAAAECBAgQIECAAIFHBFxaPKInlwABAgQIECBAgAABAgQIECBAgAABAgQIELhNwKXFbZQKESBAgAABAgQIECBAgAABAgQIECBAgAABAo8IuLR4RE8uAQIECBAgQIAAAQIECBAgQIAAAQIECBAgcJuAS4vbKBUiQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEHhFwafGInlwCBAgQIECAAAECBAgQIECAAAECBAgQIEDgNgGXFrdRKkTgMYFfv97mf46PPch/sneeZ8TEe2fTiN2pvVPvHWI+81k+c+93sN89w3dz2nmeERPvHaeI3am9U+8dYj7zWT5z73ew3z3Dd3PaeZ4RE+8dp4jdqb1T7x1iPvNZPnPvd7B3BgIECBAgQIAAAQKvEjj8lfSPP//6x1nGXH3/I+jkxMfHx8kM4V9R4FX/sTf2ye8jqxq7GsfaUc1Yj/jRzl6rtVnOu8yvnu/ouWbrq5rjuWd5zzDJZ9nZN8fHWWOunm+nXs25e/zqM4RFtEfPE3FxztU41o5qxnrER+2Yz+1qLce9Y3/1fEfPtVq/una3UX6+1Zli3xw/5uo44mItjz+jv/NMd54re+zsnePDLObqOM/vnDniRzt7rdZmOe8yv3q+o+eara9qjuee5T3DJJ9lZ9+Iz+fMc/mMO/Vy/DP673CGZzyXmgQIECBAgAABAgTeSWD+X4O/f//fxUQ9cHeRUWPOjl1anBUTPxOo/zFZx4/k7daKPXJ87sd6tKu1iLmjvXufWu9oXJ+hxo/1OlfHXUytOxt3tWax3T67+TWujmPP2Xys39Wu9lmtHe1/NrfG1/FsvxpXxyOvm5vVq/Gr3NXaqv7Ztbv3qfWOxvW8NT7Wx/xsbcSs1qJG157Nq/F13O3RnW+WN5uf1b06v9pntXa039ncGl/Hs/1qXB2PvG5uVq/Gr3JXa6v6Z9fu3qfWOxrX89b4ataNZ3O1djfu9uviYq7G13HE1TbiajuLq/N3j+McXd3VWhdvjgABAgQIECBAgACB8wLLS4tRrrug6ObOb/33DJcWf/cwuibw6H9IRn609RSz+Ro3xruxu3HdHmfn7t6r1qvjI4ed+J2YI4eoUdtVXsSuYmZrNbeOR143N6v36PzRXkfrs/3P5J2J7faL/GhrzGy+xo3xbuxuXLfH2bm796r16vjIoYuPZ7q6Fvm5jVq1zTG1H7F1fmdcc+t41OjmdmpfiTna62h9tueZvDOx3X6RH22Nmc3XuDHejd2N6/Y4O3f3XrVeHR857MTvxBw5RI3arvIidhUzW4vc2ub4WMtzz+of7XW0/qxzqUuAAAECBAgQIEDgpwhcvrTIfz3UHVguLe5QfN8a4z/u4r1zyoit7VHuiH/kFfnR1lqz+Ro3xruxs7gxn9/dHrtzuU70d3NXcaNWftXxWOvmIqdbq3N1fFQzatd21Il3XevG3b5dXDdXc+t45HRzMT/W4t3V352LGrntcsf6ldeZvDOx3VkiP9oaM5uvcWO8GzuLG/P53e2xO5frRH83dxU3auVXHY+1bi5ynrEWtWs79op3XevGq7N18XUu8qOdrXfzcc5Zbs2ZjXOd6HexV/c5k3cmdnXGWZ3Z/KpWt5bnZjXHfH7nnLP9XCf6Z2t08aNWftXxWOvmIme1torZyYv8aEdOvGNu1V7ZI+pFbm1jfbSxludifqzFu66fGUeN3Hb5Y332Wq3NcswTIECAAAECBAgQIPB3gfn/i/s/cd2fqqhzdfz3LfZGLi32nL561LP/Q+6O+qsaq7X62ezGdnF1ro7rXrvju+rEfrVeHY+4bm6W38V3+d1c1Jy1Iyfes5g8f2WPyK+5dTzidua6mNjjTHtU52g97zViZ+8cV/tn9qi5MV7VWK1FfrS7sV1cnavj2ONse1ed2LfWq+MR183N8mP+kbxcI/fHOeKd52f91blnOXk+8qPNa6Pfzde5Oq41dsdHdY7W8z4jdvbOcbV/Zo+aG+NVjdVa5Ee7G9vF1bk6jj3OtnfViX1rvToecd3cLD/mo53lzuYjr2tHTry79Tp3ZY+oEbm1jfXRxtpqrovJ8bv9ozpH67v7iCNAgAABAgQIECBAoBe4dGlRS7m0qCLGM4Hd/8gbcd17Vjfmd+tHfNeuaqzWaq0cO/rxXsXFWs6NuTvau+vWenU8ztzNxbN0a3Wujo9qRu3cRo3a5pjaj9g6vzOuuXU8auzO7ex3FNPtlXOO1nNs7p/JOxOb98j9VY3VWq4x+jl29OO9iou1nBtzd7R316316nicuZuLZ3nGWtTObexT2xxT+xFb53fHkR9tzevmu7mad2V8VPdofbbnmbwzsVf2O1M/x45+vOu+OS7WurlYe6S9u26tV8fjrN1cPMMz1qJ2bmOf2uaY2o/YOr8zHrmRn/s5N9aP5vL61X63V651tJ5j9QkQIECAAAECBAgQOC9w6dKiXlLU8flj/P7tT1pcUft6Oc/+j7w76q9qrNbqp1Fj6zjiu/luLuIfae+uW+vV8ThrNxfP0K3VuTo+qhm1u7ar1cU9skeX2+27Ozc735n5bq+cf7SeY3P/TN6Z2LxH7q9qrNZyjdGvsXUc8d18Nxfxj7R316316rhzyOfv4mP96lrkd+2qZo0/E1tzxzjyo60x3Xw3V/OujI/qHq3P9jyTdyb2yn5n6tfYOo79u/luLuIfae+uW+vV8ThrNxfPMFubzR/lxfqsPaqb887E5rzoR360MR9tN9/NRfwj7VHdo/VH9pZLgAABAgQIECBAgMDv3y4tfAteKvCK/8ire9Tx0QOv4ldrXd0cn/s1tq6txmOtrtd6s3HOq/08nuXX+ZpzND7KH+s7NWpMrXvXuO5Tx7N9alwdR16dX43HWl2POkdtzsv9kVfHR7Xy+tncGl/HuXbXX8Wv1o5qrXLr2mo81up6t3c3l/NqP4+73G6u5hyNa40an9evruUaj/brGer4qP5RfF1fjcdaXT/aP9ZzXu6P9TqOnJ32bG6Nr+OjPVfxq7Wubo7P/Rpb11bjsVbXa73ZOOfVfh7P8ut8zTkaH+WP9Z0aNabWvWtc96nj1T4RG20XW9dW47FW17ua3VzOy/0RW8ddvjkCBAgQIECAAAECBB4TWF5ajD9BEe+6Tczf8acsRm1/0qIKf8/xq/5Db+wT7zOSkVPPmeejv1t3J77uN2pH3mxtd/8aF3W7+Tq3M456V87Z5Yw9VzVjfedsd8QcnWW2x05e9/yrvC5+tn+dj7rdfJ175jjOcfZZZnl5Pvq759+JHzH1FXmztRq/O466Nb7bp8Z046jX5XdzucZsfVVz5M/ycu27+kdnWe1zdM5ufbVfF7/aP69F3Tw3+o/UrLV2xnGOs/vO8vJ89HfOEc9+dI5uPfaZre3uX+Oibjdf53bGUe/KOWc5ueYsZudsd8Tks5ypF+eOtsvt1lb7dfFd3W4u6ta1o5pH67WeMQECBAgQIECAAAEC/xT4568x/4x5yYxLi5cwf/om/kNu/hHs2uzGzXf658pn1Rz7xvufp/rnTMQ+47z/3O01M7vPsht35tTPqHlm/68Su+u0G3fmuT+r5tg33jvnjdhnnHdn/2fE7D7LbtyZMz6j5pn9v0rsrtNu3Jnn/qyaY99475w3Yp9x3p39nxGz+yy7cWfOuFNzJ+bMnmIJECBAgAABAgQI/EQBlxY/8VN/8TOP/3iL94u3/tt2cYba/i3o5KDWivHJMsK/mEB8zrX9Yo/xNsetjjF+5IBRo7aP1JT7/gL1847x+5/8PU8YfrV95LS1VowfqSn3/QXic67t+5/cCQkQIECAAAECBAgQ+AwBlxafoW5PAgQIECBAgAABAgQIECBAgAABAgQIECBA4B8CLi3+QWKCAAECBAgQIECAAAECBAgQIECAAAECBAgQ+AwBlxafoW5PAgQIECBAgAABAgQIECBAgAABAgQIECBA4B8CLi3+QWKCAAECBAgQIECAAAECBAgQIECAAAECBAgQ+AwBlxafoW7Pby0w/pHJr/76Ds+QP4Od58n/OGjOnfXPxs/qfPf5HfuvZLDzPGe/G2fjv5LXnWfdsb9zv2fX2nmes9+Ns/HPfsZ3rb9j/65n78618zxnvxtn47tz/YS5Hfuv5LDzPGe/G2fjv5LXnWfdsb9zv2fX2nmes9+NVfzOfs9+5iv1X33uV++XTT5z73yOrv+ZZ/vMvTuLO+Y+85k+c+8ju88822fufeRydf0zn+kz9z7y+syzrfZera2e6fDX1T/+/GuaP9ZW69PEZuHj46OZNUXgawl0/0Mcc/l99EQ1djWOtaOasR7xo529VmuznHeZXz3f0XPN1lc1x3PP8p5hks+ys2+Oj7PGXB3n+Z2zR/xoZ6/V2iznXeZXz3f0XLP1Vc3x3LO8Z5jks+zsm+PjrDFXx3l+5+wRP9rZa7U2y3mX+dXzHT3Xav3q2t0u+flWZ4p9c/yYW41jLXKP2ogf7ey1WpvlvMv86vmOnmu1fnXtbpf8fKszxb45fsytxrEWuUdtxI929lqtzXLeZX71fEfPNVtf1RzPPct7hkk+y86+OT7OGnN1nOd3zh7xo529VmuznHeZXz3f0XPN1lc1x3Ov8t7FZecc3XPkZ+/Wa90cHzYx18XWuVePd56pO1M8U7RdTJ6LuNivjmtsHn9GP875qr2zx87eOX6csY7zuXfq5fhn9K+eIT/XTo0c/51drn5G2eeMZ1hG2+V2c1fPeTXv6hlGXn4f7R+x4RFtt383d1T/7vXVGVZrs3PM/19Pv3//74XE7FIiz+f+bKOjeZcWR0LWP1tg539gNeZoPHumnbwaM6sV8zk+92M92tVaxNzR3r1PrXc0rs9Q48d6navjLqbWnY27WrPYbp/d/BpXx13t1TlqfFcv8ldrEXNHe/c+td7RuD5DjR/rda6Ou5hadzbuas1iu31282tcHXe1V+eo8V29yF+tRcwd7d371HpH4/oMNT7Wx/xsbcSs1qJG157Nq/F13O3Rna/L6+Zm9WrNVe5qbVX/7Nrd+9R6R+N63hof62N+tjZiVmtRo2vP5tX4Ou726M7XuuXdnQAAIABJREFU5XVzs3q15ip3tbaqf3bt7n1qvaNxPW+Nr2bdeDZXa3fjbr8uLuZqfB1HXG1rXB2P+G6u1snjHJ/7OeZK3Zq/O16dYbdGjqv1jsY5d/RrfDe3ExN1u9hY62rntbv7R2fpzlNz6nh2xhpXx5E3m4/1u9rVPqu1sX+3XufqeHbuGlfHkTebj/W72tU+q7Wj/c/m1vg6nu1X4+o48mbzsX5Xu9pntTb279brXB3Pzl3j6jjyZvOxfle72me1drT/2dwaX8ez/SKutjU+1uv83ePVPqu1cY5uvc7V8ez8EVfbGh/rdf7u8Wqfq2uzMy4vLUZSdyHRzc022J13abErJe6zBFb/4xtnqut1fPbckR9tzZ/N17jubF3MmbhZ/pn5M+ffqVvr1fHR8+3E78QcnTVq1HaVF7GrmNVa5EdbY2fzNW6Md2N347o9zs7dvVetV8dHDjvxOzG7Dl2tWe6Z2K5G5EdbY2bzNW6Md2N347o9zs7dvVetV8dHDl18PNPVtcjPbdSqbY6p/Yit87vjyI+25s3ma9wY78buxnV7nJ27e69ar46PHLr4eKara5HftauaNf5MbM0d48iPtsbM5mtcrtWt5bkzNXPelf7de9V6dTzO2M3F2bu1OlfHRzWjdm6jRm1zTO1HbJ3fHUd+tDVvNl/jxng3djeu2+Ps3N171Xp1fOSwE78Tkx1W8bEWbc67u3+0R12v4zPnqbl1PGp1c2f2OBN7tFe3HnOz9sz+ERu1ZuMxX2Mi9hnt0V5H67Mznck7E1v3q7l1POK7uVrnrvHRXt16zM3aK2eLWpFbx2O+m4v4u9ujvY7WZ+c5k3cmtu4XubXNcbGW557VP9qrW4+5WXvlrDu1IuZK/bM5R3ut1ldr3TkeurQYlxd3XWC4tOg+nq8/N76Q9b3zVDUnxju5Iybio815MRdtrOVx14+50XavOl/HXc5qLvKjrbGz+Ro3xruxs7gxn9/dHrtzuU70d3NXcaNWftXxWOvmIqdbq3N1fFQzatd21Il3XevG3b5d3Gwu8qOtcbP5GjfGu7GzuDGf390eu3O5TvR3c1dxo1Z+1fFY6+Yip1urc3V8VDNqd21Xq4t7ZI+oF3tFG/PRzuZjPbe7sbO4MZ/fufbZfq4T/bM1uvhRK7/qeKx1c5HzjLWoXduxV7zrWjdena2Lr3ORH+1svc5341mNGjuLG/P5XfPOjHOd6J/Jn8WOWvlVx2Otm4ucZ6xF7a5d7Vfjz8TW3DGO/GhrzGy+xuVa3Vqem9Uc8/mdc872c53on63RxY9a+VXHY62bi5zV2ipmJy/yox058Y65VXtlj1wv8qPNa6M/m69xZ2JnNcd8fnd77M7lOtHfzV3FjVr5VcdjrZuLnNXaKmaVN1sb8/GO2tHGfLQxP9qYizbW8rjrx9xou1edr+MuZzZXc+t45HVzMT/W4j3bY2c+auS2yxvr3avLm8V2+XWu5tbxiO/mYn6sxbvWPjOOGrnt8sf6ldeZvDOx3VkiP9oas5ofa/GueWfGUSO3Xf5Y715d3iy2y+/mIj/aGrOaH2vxrnlnxlEjt13+WL/yOpN3JraeJXJrm+NiLc+N/pjP77p+ZpzrRL/LH2vdK3Lyeu53Oau5yK1tzom1PDf6Yz6/6/qZca4T/S5/rM1eZ9fmlf6zQ3cpUS8rupjZAWfzLi1mMl9/Pr6UtX3Wk8U+UT+Pc3+sd+M619WJudzWvDrOsbv9VY3VWq2/G9vF1bk6rnvtju+qE/vVenU84rq5WX4X3+V3c1Fz1o6ceM9i8vyVPXL+6K9qrNbO1MmxXc06V8c5/0z/rjqxZ61XxyOum5vld/FdfjcXNWs7YmfvGpvHZ/bIebm/qrFayzVGfze2i6tzdVz32h3fVSf2q/Xq+Mihi5/Vjvmjmjku98de8c7zs/7qbLOcOr+qsVo7UyfHdjXrXB3n/DP9u+rEnrVeHY+4bm6WH/OP5OUaUWecoXvX2DxenTvHrfqrGqu1WnM3tourc3Vc99od31Un9qv16njEdXOz/JiPdpY7m4+8rh058e7W69yVPc7UOFN/N7aLq3N1XM+8O76rTuxX69XxiOvmZvkxH+0sdza/2m/kxDvqd/G5du7PYmtM1J7Nz9aP4iOva2tuHY+cnbkuptvvaO6ozmx9zMc79pjFxvqqrbl1PHJ35rqY1b6ztaM6R+u57oidvXNc7Z/Zo+aOceRHW2O6+TpXx7XG7viozmx9zMc79prFxvpRG/nR1vhuvs7Vca2xOz6qc7Se9xmxs3eOq/0ze8xyo0a0OW5nrovJNXb7R3Vm62M+3rHXLDbWV23k1jbnxNpqrovJ8bv9ozqr9dVat//lS4tczKVF1tCvAvGlrG2Ny+MR271zzKofuTUmzhDzR+OIG22NzWvd+lF8ze/GqxqrtVorx45+vFdxsZZzY+6O9u66tV4djzN3c/Es3Vqdq+OjmlE7t1Gjtjmm9iO2zp8Zr2qs1uoeOXb0472Ki7WcG3N3tHfXrfXqeJy5m4tn6dbqXB0f1YzaXdvV6uIe2SPXW+23Wss16llGXrxXcbF2Zp/I2Wnvrlvr1fE4UzcXZ33GWtTObexT2xxT+xFb58+MVzVWa3WPHDv68V7FxVrOjbk72rvr1np1PM7czcWzPGMtanftar8afya25sZ4VWO1FvnR5tjRj3esR5vjVnOx9kjb7XVnva5+Nxd7PmMtauc29qltjqn9iK3zZ8arGqu1ukeOHf14r+JiLefG3B3t3XVrvToeZ+7m4lletRb71DafI9Zirjt7janjVW5e26ld41fjeo467vabza322V3r9s+53XrMzdqcv9uPWhFfx2N+dy5qPNJ2e+V6R+s5NvfP5J2JzXtEP/Kjjflou/luLuIfaY/qdusxN2uvnqfWq3ViPc93c3n9av+o7tH6bN8zeWdi634jN/JzP8fF+tFcXr/a7/bKtbr1mJu1OX+3P2rletHP+btzOedqv9sr11qtr9Zyjei7tAgJ7dME4ktZ26dtmArHnjF1dhx5o625ea1bP4qv+d14VWO1VmvV2DqO+G6+m4v4R9q769Z6dTzO2s3FM3Rrda6Oj2pG7a7tanVxj+yR6632W63lGt1ZZrndfDdX618Z31231qvjziGfeyd+JybXXPW7WrP4M7FXapypX2PrOPbv5ru5iH+kvbturVfH46zdXDzDM9aidteu9qvxZ2JrboxXNVZrkR9tja3jWdyYn8VGztX27rq1Xh0fPUsXH892dS3yu3ZVs8afia25MV7VWK1FfrQ1to5ncWN+Fhs5V9u769Z6dXz0LF38Uc7O+sxntl8Xfya2yz8655n6NbaOY/9uvpuL+Efau+vWenV81bOrk597tX51rTtrrXU03j3jzl651lF/51w1pjvD0T67691eOXe1XtfqONc56tfcOh75u3NHe+2sd3vlvKP1HJv7Z/LOxOY9oh/50cZ8tN18Nxfxj7RHdVfrda2Oz54r8qOt+d18N1fzroyP6h6tz/Y8k3cmttsv8qOtMd18N1fzroyP6q7W61odnz1P5Edb87v5bq7mXRkf1V2tr9a6s7i06FTM3SoQX8ra3rpJKhb7xFQe5/5YPxpHjRpb8yKuzh+NI2/W1vwct1rLcdHP8bkf69HWtdV4rNX1qHPU5rzaz+OjOrFec47GkRdtjR/zda6Ou5iod3db967jo/1W8au1rm6Oz/0aW9dW47FW12u92Tjn1X4ez/LrfM05Gh/lj/WdGjWm1p2Nz+bV+Dqe7RPzq/jVWuTnNsfnfo4Z/bq2Go+1ul7rzcY5r/bzeJZf52vO0fgoP6/XWrtrOe7Rfj1DHR/VX8Wv1rq6OT73a2xdW43HWl2v9WbjnFf7eTzLr/M152h8lJ/Xa63dtRxX+6uaNXaMa3wddzl5bhW/Wss1op/jcz/Wo61rq/FYq+tR56jNebWfx0d1Yr3mHI0jL9oaP+brXB13MVHv7rbuXcdH+63iV2td3Ryf+zW2rq3GY62u13qzcc6r/Tye5df5mnM0Psof6zs1akzUnc3HetfWnDzO/d2zxR45N/djfafeLC/X2KkT8bXeajzW6nrUOWpzXu53Zz2q1eXUmrMaNa6OI6/Or8Zjra5HnaM25+X+yKvjo1p5/Wxuja/jXLvrH8XX9dV4rNX1bs9uLufl/oit4y6/ztWcOq7xdXwUX9dX47FW1+t+s3HOy/0RX8ezGt382dwaX8fdHjEXsdHGfG7r2mo81up6rrXq57zcHzl1vKoTazWnjiOuayM22lVMrNXYPB79PI6cnTbn5f7IreNcb7WW43J/eWkR/3ZF99c/rdbyBrt9/6bFrtTXihtfyvhi5jb6z3ia2DPaukfMRxvrMY425nO7WhtxY72+Iqdbq7F5PMvL89HPeav+TvyIqa/Im63V+N1x1K3x3T41phtHvS6/m8s1ZuurmiN/lpdr39U/Ostsn1leno/+rEad34kfMfUVebO1Gr87jro1vtunxnTjqNfld3O5xmx9VXPkz/Jy7bv6R2eZ7TPLy/PRn9Wo8zvxI6a+Im+2VuN3x1G3xnf71JhuHPW6/G4u15itr2qO/Flern1X/+gss31meXk++rMadX4nfsTUV+TN1mr87jjq1vhunxrTjaNel9/N5Rqz9VXNkT/Ly7Xv6h+dZbbPLC/PR39Wo87vxI+Y+oq82VqN3x1H3Rrf7VNjunHU6/K7uVyjW8/1op9zRr/LqzF3jeMMZ/ec5eX56O+edSd+xNRX5M3WavzuOOrW+G6fGtONo16X383lGt16rhf9nDP6Xd5qvubncewRbV6LmrGW981zeT7nR0yey/0uL3K6tZxb+zt5Xc1VXhdf952No25dv1oz6p3N38nraq7yuvj6nLNx1K3rj9SstXbGcY4r+x7ldOur/br4nWcYMVG3xl+tGfWu5B/ldOur/br4+pyzcdSt64/UrLV2xnGOs/tGfLTdXt3amIt3zenia8xsfHfNqHf2TBEfbXfebm3MxbvmdPE1Zja+UvNov279n/8vpNmJnjzv0uLJwMq3At3/KNrAE5PPqHli+1tCd59hN+7MoT6r5tg33jvnjdhnnHdn/68Ss+uzG3fmuT+r5tg33jvnjdhnnHdn/68Ss+uzG3fmuT+r5tg33jvnjdhnnHdn/68Ss+uzG3fmuT+r5tg33jvnjdhnnHdn/68Ss+uzG3fmuT+r5tg33jvnjdhnnHdn/68Ss+uzG3fmuT+r5tg33jvnjdjuvN3cTs0zMc/Y4xk1V8+0u99u3GqvuvaMmnWPq+Pds+3GnTnHM2qe2f8ZsbvPtBt35ozPqHlm/1Xs7tl241Z71bVn1Kx7vHq8+0y7cWfO/4yaZ/Zfxe6ebTdutVddW9VcrUWdLsalRehof5zA+B9EvF/98LFvbR85R60V40dqyn1/gfica/vIyWutGD9SU+77C8TnXNtHTl5rxfiRmnLfXyA+59o+cvJaK8aP1JT7/gLxOdf2kZPXWjF+pKbc9xeIz7m2j5y81orxIzXlvqdAfLajffUr7537rz7Hu+2XLXL/3c75Vc6TDXP/q5z/WefMFrn/rP2+e91smPvf/bmPni9b5P5R3k9Yf/3/V3ei6k9aTGBMEyBAgAABAgQIECBAgAABAgQIECBAgACBHyLg0uKHfNAekwABAgQIECBAgAABAgQIECBAgAABAgQIvLuAS4t3/4ScjwABAgQIECBAgAABAgQIECBAgAABAgQI/BABlxY/5IP2mAQIECBAgAABAgQIECBAgAABAgQIECBA4N0FXFq8+yfkfJ8mMP4BnO/0+m7Pc/TZPON576h5R43x7HfVOXK0ToAAAQIECBAgQIAAAQIECBAgQOCVAoe/yv7x51//OM+Yq+9/BJ2c8A9xnwT7YuHjB9b8Pjp+jc3j2s+18tqYX41jLedHf6x95dfs/LP5r/ys3dlXz7la62rF3NW8yM/to7XO5o/4eOdz7PSP9jpa39ljN2a2Vzxbt75a291XHAECBAgQIECAAAECBAgQIECAwOsElr/MxsVEPU69yKjjGr8zdmmxo/Q1Y+oPiXU8e6oal8ez/qg11mI99/M+sZ7ncv9oPcc+0n/GPrNnHud8xn6PPP+zcp/xnHfWfLTWmfwaW8erz2DEHsUfrXf1r+Z0eXUuj3N/nKOOu7OZI0CAAAECBAgQIECAAAECBAgQ+FyB5aXFONrRhcTR+u7jubTYlfpacY/8SFhz8zj3h0gej36Mcz/LxXqei/5qLWLuap+116ruau2u5/rMOs94vneq+ehZzuav4sfaar1+DyK2tjVuNo68vF7n8jj3R04d5zr6BAgQIECAAAECBAgQIECAAAEC7yHg0uI9Podve4pHfiSsuXmc+wMvj0c/xrmfkWM9z0V/tha1oo34K23UyO2VOrOcUXf2Wq3VnHy+3K9xs/EqJ6+Nfn7ltTw/+nmt5sV6zYn5yO3WV3PdPrP42CO3XeyZmjn/al7UOJs/i4/5aKP+UTvi430UW9e7vepcHuf+qFXHs7m6rzEBAgQIECBAgAABAgQIECBAgMDrBP7+S2Gz79GfpDhab0q2U/6kRcvy5Se7Hwl3H6rm5nHuj3p5HP3a5n1jLc9Fv1urc3UcuWfbu+rUfVd1V2u1ziPjuk8e5/7YI49z/8xanLXmx3y0R+sRF+3Z+JEXObWNmjkmzx31o95RXLc+cq/kz3JiPtpuz25uxMe7W1/NzfaKenX9aLzayxoBAgQIECBAgAABAgQIECBAgMDnCDx0aXHXhcV4dJcWn/MFePau9UfDM/vV3DzO/VEzj6Nf27x3rOW56Hdr3VzEP9J+Rt0ze47Y7n3mmXN+5K3OUNe6cZ2LuqNdre2s51pX4nNOnCXaXLuby+td/0pOrXO2Rhef53K/7lXHEVvbGjcbR15er3N5nPsjp45zHX0CBAgQIECAAAECBAgQIECAAIH3EHBp8R6fw7c9xSM/EtbcPM79gZfH0a9tRo61PBf9bq2bi/hH2s+o+6w9O4e816xf83LcWKvjiD87f5QX67Wd7VPj8jhyatvF5LmjftQ7ilutn63RxY+5+l7tWde6mjWmG3d5dS6Pc3/Uq+NuD3MECBAgQIAAAQIECBAgQIAAAQKfK+DS4nP9f8Tu9YfCOp4h1Lg8nvVHrVirbd4n1vJc7tf11Xis1fVca9XPebWfx6sa3dosdzbf1Xh0ru6Vx7k/9snj3D+zls9ba+yu5bi6d11bjWP/2kZOzMd4p72SM+rWvDwe/TzuzvHoelfz6lx3ljqXx7nfWVw9hzwCBAgQIECAAAECBAgQIECAAIHnCSwvLcZf/xTv7gj+eqhOxVwnMH48jHe3PpuLnPzjY57L86NGrEU/2oiL9dx2e0d8XlvldPE5d9WPujXmas2o1+V3c3XfO8f5LNGP+jHuzjRby/NdXq4d/dqu8h6Jjdw44xjHXnkuz0fOThu1dmJrTOxfa8R8jY9xrNe83fWIu6NdneXq2jjX7NnuOLMaBAgQIECAAAECBAgQIECAAAEC5wWWlxbny13P8G9aXLeT+RyB3R8zd+POnPKr1DzzTK+OnRnO5uv5duNq3tH4St0rOUfnsP5vAba+CQQIECBAgAABAgQIECBAgACB9xJwafFen8ePOs34sbB7/ygED/sSgfw9e8mGNiFAgAABAgQIECBAgAABAgQIECBA4JKAS4tLbJIIECBAgAABAgQIECBAgAABAgQIECBAgACBuwVcWtwtqh4BAgQIECBAgAABAgQIECBAgAABAgQIECBwScClxSU2SQQIECBAgAABAgQIECBAgAABAgQIECBAgMDdAi4t7hZVjwABAgQIECBAgAABAgQIECBAgAABAgQIELgk4NLiEtvXTop/lPhrP4XTEyBAgAABAgQIECBAgAABAgQIECBAgMB3Ezi8tPjjz7/aZx7z8W4DTk5+fHyczBD+iMC4uPAiQIAAAQIECBAgQIAAAQIECBAgQIAAAQLvJLD85Xp2KVEvMur4ygO6tLiidj3HpcV1O5kECBAgQIAAAQIECBAgQIAAAQIECBAg8ByB5aXF2LK7kKhzdXzlqC4trqhdz3Fpcd1OJgECBAgQIECAAAECBAgQIECAAAECBAg8R8ClxXNc376qS4u3/4gckAABAgQIECBAgAABAgQIECBAgAABAj9O4NKlxVAaf7oi3neo+ZMWdyieq+Hi4pyXaAIECBAgQIAAAQIECBAgQIAAAQIECBB4rsClS4v610HV8ZUju7S4onY9x4XFdTuZBAgQIECAAAECBAgQIECAAAECBAgQIPAcAZcWz3F9+6ouLd7+I3JAAgQIECBAgAABAgQIECBAgAABAgQI/DgBlxY/7iP/9wO7tPihH7zHJkCAAAECBAgQIECAAAECBAgQIECAwBsLLC8t4t+s6P76p9Xalef110NdUbue49Liup1MAgQIECBAgAABAgQIECBAgAABAgQIEHiOwPLS4jlb9lVdWvQuz5gdFxYuLZ4hqyYBAgQIECBAgAABAgQIECBAgAABAgQIPCLg0uIRPbkECBAgQIAAAQIECBAgQIAAAQIECBAgQIDAbQIuLW6jVIgAAQIECBAgQIAAAQIECBAgQIAAAQIECBB4ROCtLi3GXxEV70ceSi4BAgQIECBAgAABAgQIECBAgAABAgQIECDw9QTe6tLi6/E5MQECBAgQIECAAAECBAgQIECAAAECBAgQIHCXgEuLuyTVIUCAAAECBAgQIECAAAECBAgQIECAAAECBB4ScGnxEJ/k7yzw69fn/c/jM/f+zp+pZyNAgAABAgQIECBAgAABAgQIECBA4L0FDn+V/ePPv9onGPPxbgNOTo5/y8Lr6wiMH9Wf/cN67PHsfTr1z9iznuMdzlDPZEyAAAECBAgQIECAAAECBAgQIECAAIFnCiwvLWaXEvUio46vHNilxRW1z8151Y/qr9ona75qz9U+q7V8Vn0CBAgQIECAAAECBAgQIECAAAECBAh8F4HlpcV4yO5Cos7V8RUclxZX1D4351U/qr9qn9B85X5Hex2tx5m1BAgQIECAAAECBAgQIECAAAECBAgQ+A4CLi2+w6d44RnGj+HxjvQ8zv1YH23MR5vXVv2Ij3YVW9dGTveKWt16t5bnoj+rO5uPvNE+8sp1ot/Ve3SfrqY5AgQIECBAgAABAgQIECBAgAABAgQIvKvA4S+v3Z+iyHOjn8dXH9SftLgqdz6v/hCex/UH9LqWd8treb72a1wd1/g67uLrXB7n/qiVx7lf12LfGtPFdTGRf6Y9qnO0fmYvsQQIECBAgAABAgQIECBAgAABAgQIEHh3gUuXFuOh8mWFS4t3/5j/fr7xQ3h9R0T9kTyPc3/E13HUqO1uXM2LcZdf5/I490eNPM79unZmv4h9tK3nqfWO1mu8MQECBAgQIECAAAECBAgQIECAAAECBL6ywOVLi/zQLi2yxvv3Vz+E17U8zv3xlHU8e/LduDP5tWYe534952ot9q8xtUbE3dF2e+W6R+s5Vp8AAQIECBAgQIAAAQIECBAgQIAAAQJfXeDSpUW+pMj9RzD89VCP6J3LrT+E53Huj6p5nPt1bXWCq3lRs+Z3e+eY3K+xq7XYr+YcjUfNWjfXWvVzXu53e67qWCNAgAABAgQIECBAgAABAgQIECBAgMB3EFheWowLiXjXh53N17jdsUuLXal74uKH9vxDeZ2r47Fznov+zokidrS7r5wT/Zwbc13N2Vqe7/KifreWcyMu2i4+1o7aqFvjHqlZaxkTIECAAAECBAgQIECAAAECBAgQIEDgKwjs/4L85KdxafFkYOX/V+DMRcBu7G7cmY/gGTXP7C+WAAECBAgQIECAAAECBAgQIECAAAECnyHg0uIz1L/ZnuMH9u599JhdzjN/rM/7HZ3NOgECBAgQIECAAAECBAgQIECAAAECBAi8XsClxevN7UiAAAECBAgQIECAAAECBAgQIECAAAECBAg0Ai4tGhRTBAgQIECAAAECBAgQIECAAAECBAgQIECAwOsFXFq83tyOBAgQIECAAAECBAgQIECAAAECBAgQIECAQCPg0qJBMUWAAAECBAgQIECAAAECBAgQIECAAAECBAi8XsClxevN/7Fj/APR/1gwQYAAAQIECBAgQIAAAQIECBAgQIAAAQIEfpDA8tLijz//+h3vahLzo73j9fHxcUeZL1tjXFx4ESBAgAABAgQIECBAgAABAgQIECBAgACBnyww/aW8Xkbkce4PvDq+AurSYvpRXOGUQ4AAAQIECBAgQIAAAQIECBAgQIAAAQIEvpzA9JfyehGRx7k/nriOryi4tJh+FFc45RAgQIAAAQIECBAgQIAAAQIECBAgQIAAgS8nsP1Leb6YyP3xxHV8RcGlxfZHcYVXDgECBAgQIECAAAECBAgQIECAAAECBAgQeHuBrV/K66XE0fjKU//0S4th5t+1uPLNkUOAAAECBAgQIECAAAECBAgQIECAAAEC30Xg8NKiXlCMB69zdXwF56dfWriwuPKtkUOAAAECBAgQIECAAAECBAgQIECAAAEC30lgeWkxu4yo83V8BcilxfKjuEIqhwABAgQIECBAgAABAgQIECBAgAABAgQIfCmB6S/l9SIij3N/PG0dXxFwaTH9KK5wyiFAgAABAgQIECBAgAABAgQIECBAgAABAl9OYPpL+biIqO/8dHktz1/tu7SYfhRXSeURIECAAAECBAgQIECAAAECBAgQIECAAIEvJfA2v5T/5EuL8e9Z+DctvtT/bhyWAAECBAgQIECAAAECBAgQIECAAAECBJ4g4NLiCahKEiBAgAABAgQIECBAgAABAgQIECBAgAABAucFXFqcN5NBgAABAgQIECBAgAABAgQIECBAgAABAgQIPEHApcUTUJUkQIAAAQIECBAgQIAAAQIECBAgQIAAAQItvGVyAAAHmUlEQVQEzgu4tDhvJoMAAQIECBAgQIAAAQIECBAgQIAAAQIECBB4goBLiyegKkmAAAECBAgQIECAAAECBAgQIECAAAECBAicF3Bp0Zj9+vXr93h7ESBAgAABAgQIECBAgAABAgQIECBAgAABAq8TWP4y/8eff/2Od3eksXbX6+Pj465St9RxaXELoyIECBAgQIAAAQIECBAgQIAAAQIECBAgQGBbYHppUS8kunGd2961CXRp0aCYIkCAAAECBAgQIECAAAECBAgQIECAAAECP0jg8qXFMHJp8YO+KR6VAAECBAgQIECAAAECBAgQIECAAAECBAg8WWB6aVH37S4ourmatzv2Jy12pcQRIECAAAECBAgQIECAAAECBAgQIECAAIHvKbB1aTG7nJjNX6F6t0uL8Qz+XYsrn6QcAgQIECBAgAABAgQIECBAgAABAgQIECBwTeDw0mJ1MbFaO3ucd7u0cGFx9hMUT4AAAQIECBAgQIAAAQIECBAgQIAAAQIEHhNYXlocXUocrZ85mkuLM1piCRAgQIAAAQIECBAgQIAAAQIECBAgQIDA9xOYXlrUC4k6HhTd3FUilxZX5eQRIECAAAECBAgQIECAAAECBAgQIECAAIHvIbC8tBiXEvmdH3k2n2PO9F1anNESS4AAAQIECBAgQIAAAQIECBAgQIAAAQIEvp/A9NLi1Y/6TpcW49+z8G9avPobYD8CBAgQIECAAAECBAgQIECAAAECBAgQ+OkCLi1++jfA8xMgQIAAAQIECBAgQIAAAQIECBAgQIAAgTcRcGnxJh+EYxAgQIAAAQIECBAgQIAAAQIECBAgQIAAgZ8u8FaXFuOviIr3T/9gPD8BAgQIECBAgAABAgQIECBAgAABAgQIEPhpAm91afHT8D0vAQIECBAgQIAAAQIECBAgQIAAAQIECBAg8F8Blxb/tdAjQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEPlHApcUn4tuaAAECBAgQIECAAAECBAgQIECAAAECBAgQ+K/A8tLijz//+h3v/6b8uxfzo73jNf4tCy8CBAgQIECAAAECBAgQIECAAAECBAgQIEDg5wpMLy3qZUQe5/6gq+MrnC4trqjJIUCAAAECBAgQIECAAAECBAgQIECAAAEC30fApcX3+Sw9CQECBAgQIECAAAECBAgQIECAAAECBAgQ+NIC00uL+lSrP02xWqt1ZmN/0mImY54AAQIECBAgQIAAAQIECBAgQIAAAQIECPwMga1Li9WlxGrtDKFLizNaYgkQIECAAAECBAgQIECAAAECBAgQIECAwPcTOLy0WF1KrNbOUrm0OCsmngABAgQIECBAgAABAgQIECBAgAABAgQIfC+B5aXF6lJitXaFyKXFFTU5BAgQIECAAAECBAgQIECAAAECBAgQIEDg+whMLy3qpUQe5/6gqOMrPC4trqjJIUCAAAECBAgQIECAAAECBAgQIECAAAEC30dgeWkxLiPyOx47z0U/1q62Li2uyskjQIAAAQIECBAgQIAAAQIECBAgQIAAAQLfQ2B6afHqx3Np8Wpx+xEgQIAAAQIECBAgQIAAAQIECBAgQIAAgfcScGnxXp+H0xAgQIAAAQIECBAgQIAAAQIECBAgQIAAgR8r4NLix370HpwAAQIECBAgQIAAAQIECBAgQIAAAQIECLyXgEuL9/o8nIYAAQIECBAgQIAAAQIECBAgQIAAAQIECPxYAZcWP/aj9+AECBAgQIAAAQIECBAgQIAAAQIECBAgQOC9BFxavNfn4TQECBAgQIAAAQIECBAgQIAAAQIECBAgQODHCnyJS4tfv379Hm8vAgQIECBAgAABAgQIECBAgAABAv9/e3eT2jAMBGD0QD1tD+F1j9iiRUBMmdEPxcHqC5hYlmzjl+VHMAECBAgQOFegLAEfn1/fry0SvI6377/4XNdVXka0KHlMEiBAgAABAgQIECBAgAABAgQIECBAgACBxwuk0SLGiH7c7zeBON5RES121JxDgAABAgQIECBAgAABAgQIECBAgAABAgTOEdiKFvHxRYsoYkyAAAECBAgQIECAAAECBAgQIECAAAECBAisCqTRIl6oChPVXLxONvZPi0zGcQIECBAgQIAAAQIECBAgQIAAAQIECBAg8D8EpqJFFiXa8WxulW8ULdr1vNdiVdV6AgQIECBAgAABAgQIECBAgAABAgQIECDwHIFhtJiJEjNrRiSjaCFYjATNEyBAgAABAgQIECBAgAABAgQIECBAgACBZwuU0WI2Rsyuq6hEi0rHHAECBAgQIECAAAECBAgQIECAAAECBAgQOF8gjRYxRPTjfr8RxfEOm2ixo+YcAgQIECBAgAABAgQIECBAgAABAgQIECBwjkAZLVqM6Lf+sbPj/ZqVfdFiRctaAgQIECBAgAABAgQIECBAgAABAgQIECBwnkAaLe5+1CpatPdZeKfF3b+I+xEgQIAAAQIECBAgQIAAAQIECBAgQIAAgXsFHhEt7iVxNwIECBAgQIAAAQIECBAgQIAAAQIECBAgQOAdAqLFO9TdkwABAgQIECBAgAABAgQIECBAgAABAgQIEPgl8AOBUic8SIt+tAAAAABJRU5ErkJggg==

lee459317530 发表于 2021-4-17 08:55:29

让人帮你解决UDF的问题,你首先得把你的UDF程序贴出来呀

独孤伊人 发表于 2021-4-17 20:11:02

lee459317530 发表于 2021-4-17 08:55
让人帮你解决UDF的问题,你首先得把你的UDF程序贴出来呀

好心的大哥,我加您QQ有验证问题,您可以加我QQ:1013265011吗? 我在这回复发不了图片,拜托了,感谢!

独孤伊人 发表于 2021-4-17 20:15:23

lee459317530 发表于 2021-4-17 08:55
让人帮你解决UDF的问题,你首先得把你的UDF程序贴出来呀

我记得我有把图片复制上去的,谁知发出来却没有
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查看完整版本: 【求助】udf编译速度和浓度梯度的协同角场怎么查看结果?