JOB_NOT_STARTED Virutal Windtunnel

Altair Forum User
Altair Forum User
Altair Employee
edited November 2020 in Community Q&A

Hello everbody,

 

I am new in this forum and i want to ask a specific question to my model.The VWT always show up the error message JOB_NOT_STARTED when I wanted to start the analysis, even though I tried a lot of things to avoid that.

 

At first let me explain to you what I have already done:

- the acusolve path is set

- I followed the student race car tutorial from altair to make all steps correctly an in the right order.

- the 2D mesh in hypermesh is complete (that means no duplicates, no free edges, the min. and max. angle is correct and the connectivity is right)

- I have increased the time step of the 'run' editor (and variated several parameters there)

- I have calculated the simulation over the university server with 24 CPU cores to make sure that computing power isn't a problem

- as a test I built up a very simple car shape, consisting of two cuboids, to try this one in the VWT. In this model, it works. The VWT needed 13h on my own laptop to go through the analysis, without showing any error message.

 

After those steps and recherches of fault finding I don't know where I should search for other mistakes. Therefore I hope to get help here.

Maybe someone can tell me what is wrong with my model. I would be very glad about that.

 

I have added the file below so you can see what I am talking about. In addition to that you can find data of my laptop.

And by the way sorry for my english!

 

best regards

Daniel

 

 

 

 

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Unable to find an attachment - read this blog

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Answers

  • ydigit
    ydigit
    Altair Employee
    edited December 2015

    Could you please check the VWT Run folder and send a screenshot of the files in that folder (Path is Preferences > AcuSolve > Run Path).

    If there is vwtAnalysis.1.MeshSim.txt and/or vwtAnalysis.1.Log,  please upload both.

  • ydigit
    ydigit
    Altair Employee
    edited December 2015

    After starting from your .stmod file, I ended up with mesh_intersections.dat/.nas in the run folder mentioned above.

     

    The .Nas file you uploaded has intersection issues. Please resolve these before exporting .Nas.

    <img alt='Vn4jeF3hvkQAAAABJRU5ErkJggg==' 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

  • ydigit
    ydigit
    Altair Employee
    edited December 2015

    Wrapping and boolean operations might be helpful to get a CFD ready mesh quickly. There are some videos on:

    http://www.altairhyperworks.com/training/new_feature_videos/13/content/cfd.htm

  • Altair Forum User
    Altair Forum User
    Altair Employee
    edited November 2020

    Dear ydigt,

     

    after constanly trying to run the VWT I need yout help one more time. I ended up with following informations:

    - I used tri elements for the surface mesh

    - I have no intersecitons, penetrations, free edges, duplicants, connectivity problems, angle problems, ...,   any more.

    - the only error message after the mesh is one of unspecified thickness. Therefor I could't find an information about this message which can help me or which I can understand.

    - because I suspect the heat exchangers to be the mistake components I deleted them and made an alternative windtunnel from the front to the bottom of the car. That should be a compromise solution.

    - after the 'run' command in VWT, the acusolve 'executing...' window appear, but after around one minute it closes itself and the run does not start.

     

    By the passing of time I get very very frustrated because I need the mesh and I don't have time any more. I have choosen the VWT because I thought the use is userfriedly and less complicated but in the end I spend hours and days of time in this without understanding the problem. I variated the mesh and the parameters in many different ways.

    In fall/ winter 2016 I will do two professional seminars for students about this topic in Böblingen, germany, because I want to learn it under professional instruction. But until this date it's to late for my project.

     

    Attached to this post, I uploaded my file for the last time and I hope you can give me a last hint by looking over it.

    I would be very happy if you can describe your answer in every detail so I can comprehend your steps/ your knowledge. 

     

    best regards

    Daniel

     

     

    <?xml version="1.0" encoding="UTF-8"?>RUN_PATH_DANIEL_DORER.PNG

    Unable to find an attachment - read this blog

  • ydigit
    ydigit
    Altair Employee
    edited January 2016

    I started a run with your .Nas file. That creates  a mesh_intersections.dat in the VWT run folder.

    These two elements that intersect are apparently outside the domain. I have not seen an error like this.

     

    Which version of HyperMesh and updates are you using? Did you use wrapping operations? How did you generate the mesh ?

     

    Generally I try to avoid elements with less than 5 Degrees in surface mesh. In your case there are hundreds of elements in such category. The least angle is 0.07°. Try to get a mesh minimum angle 2°.

     

     

     

     

  • ydigit
    ydigit
    Altair Employee
    edited January 2016

     

    After removing elements with less than 2°, it works with VWT.

    Elements with small angle lead to bad quality mesh/results. Always avoid them.

     

    I used mostly F3 shortcut to replace nodes, and collapse these small angle elements.

    Unable to find an attachment - read this blog

  • ydigit
    ydigit
    Altair Employee
    edited January 2016

    <img alt='hsqKeR6mpwLoCGqBnOBBV1f8Hf0UvD7GzEPwAAAA' 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p4epy5VgeQGluNteW453hcm559bjldH6XNFNfhi1z/Y7gU0lW/wmBvyMP1JAKARaD2huh5lelztQ4vJzy3H+1uy/gb//00eKirCvjffwNge0Dy21WJayO30JwGABtELtJ5QJfcz/UV9jUfHs+V43w9vOV4dJQ8VVXFHYyKbyoEmsW8sOkP/ptkLoOR8uds2Wk8orX+X49Ui2sJXu/408uV4dZQ+VFRGTA65lf4hC5SeHbBoCz1LcAJQfrSeUD5Pl+MterYcb/2Yl+PVUfJEUR2+0fleTqDR9DeNWuhvBCcAVUHrCYU3sBxvu/nc55bjnazfcrw6Sp4oqsNOmb/NlSeggfSsRlvYfj6kAFAhelFjAq0nFE1PJmfEtljMaPxyvDpKnigqpFejFtKX/iELlJJe0egM+4bgBKByfIXbl7SekHsvLMdb4LazKcvx6ih9oqiSWBh6mlEioAFuS0wL20pwAlBFT1tPj1KXlcDLhlyOd6O5y/HqKHmcqBTbY76RsT2g3h5KzA2+BgBAlfkKty9oPSEX5LbovueW473r+pNmd9MfrA6Sx4lquaUxiU3lQF31ii9xX+XSn/okAJCO/kXrCSnJVdHdg5fjHc3Ncrw6Sh8nKiYmhdxJ/4QFSqJf/D33RS49qU8CAKn5O7Se0ET9mfz13HK8qWEf53U5Xh0lzxJV4xvcvudKBlAf/pHH7JCu9CcBgORoPaHhBpbjffpsOd4st89N/sz9crw6Sp4lqsb+MF/ErQygDuxLiykhN9OfBABywt9x+5zWE+rqUaYn1DYOXo53uVDL8eooeZaoHDaVA/Vgeyw6Qi+xuBIA/vW09VS+SyZosq5Mf1Vf69ERMSF8qeveIi/Hq6P0WaJ6YkHoWQo+YPT0Z41a6CneRwDwIl9J6wmj8XQ53juDluPJXfLSYMmDRAXZt2Yfc+UJGCU9oVELPUxwAoAh6CVaTxguufZsOd6E55bjPUh/sPxKHiSq6IbGFDaVA6Oh5zXaw37g0wcAeCVf6baV1hOGMrAc7yvzec8tx/uj7Mvx6ih9kKikmBhyL/2zFSiYaxKTwnYQnADgdfSSxlu0nvBMbyZnh1qO15v6YEWUPEVUk69z20f9B4zEXYkZYVt44wDAm/kqt89oPVXY4+eW440PX+C2o8LL8eooeYqoJjthvoRN5cCwPRaf776Odw0ADIte1ngruLhSLSzHa4LkKaKiejRqIf3pn61AAfSJL3df4Sz3B4Dho/VUBXJbdP9zy/FWuR5kOV4jpU8RVRXzQv9kURjwZv6++wKXx+lPAgAFQuuprOSa6B71xR4TIjrD1pkeYTlesySPEJVlO802c3MDeAP7xGImu1UAYDT8XbdPaT0V38vL8TaxHC+R5BGiuq5pTGVTOfA69pXFpJDr6U8CAEWkf9N6KqyB5XifWcyMGB8xK2wry/FyIH2EqLDoDLmf/sEK5JN9b9EeeoHRVgAYPVpPRTKwHO8jiykR48Pnsxwvf5LnhyrztW4HGNsDhqC/atRC/yA4AcCYPG09daWuOPEqXZkeVn/fozNiQvgS1+9UrrPsIa+S54cqs9/Ml7FzGXiRntSohR4iOAFAHfhqty20nnJE7ojuV185eDneHfJSESTPD5XWzaZy4EX6l0Z72He0ZAGgPvQKraf0XliO5+uc5XiFlD4/VFvM4ToH8JwbEpPDthOcAKCeaD0l0J/JJbGvny3Hm/JsOd7j1AfDWCQPDxXnX7t9RpkIiDwRuS8xM/xjBlkBoM5oPTXJC8vxZoZtNTnHcrwSSR4equ6KxjQ2lQMi3eJvu68hOAFAQ/h7bptpPTXA40x/H7wc72uTSyzHK6n04aHyoiPkQfpHKpBSv/g77stcelOfBABKSq9qvBXZ/dSlZzmwHK+ykicH+HuuP3PlCZXm693nuTxKfxIAKDF/z+0TWk+jJHdEDzxbjlcLX+l6gOV41ZM8OcCOmL/DnBKqyz61mB5yN/1JAKDc9KrGeFpPIyDXRb9TX/JsOd77roeVa2OVljw5QB9ptHHlCRVlOy0mhl6l9QoAzeBraD291j/L8eY/W473kcnvLMfDM+mTA55ozAr9i9oRlWP7LNpC/+TFDwDNck1oPb2oN5NzYltZjodhSB4boE/Ut7l9zqZyVIse1aiFHic4AUBT+Vq3jyvfenqcye9im54tx5vHcjwMT/LYAH2ielljBmN7qBA9o1ELO8hHBgDQdAOtp3upa9DmezB4Od5i1z0sx8MIpY8NeKL6RKM95GHqhynQFHpZozPsW4ITAKRRndbT0+V4qzzaWI6HekieGTDAV7n+wvASKuCWxNRgSBUAUip164nleGig5JkBA+wX81VsKkfZPZCYHb6RlzoAJObvu20qS+tpYDnejkHL8fR3ZTke6i95ZsBTD9lUjrLrEV/svtqlP/VJAADXC956+mc53qxny/E+MznLcjw0WPrMgGdiZuhlxvZQUv3i77ovdulJfRIAwBORgdbTR4VqPT3O5A+xTRZTny3H+4rleGiu5IEB//Av3LZxCQTl5B96zAl5kP4kAICnBlpPd1MXo6/3INMj6usGL8e7xrIHJJI8MOBff2nMYmwPJWSfW0wNuZ3+JACA5/m6PLae5I7oweeW473jul/lNnkJOZA+MOA50R7yKP2TFKgj+9aik3lUAMilGxLjQ+6mjyVyQ/Q79aUeEyI6wte6/spyPORP8rSA5/k7rocpMVEedtCiLfQMr2oAyClf57YxReupP5PLz5bjvRUxOWyj6QmW4yHfkqcFPM9+Nl/N+maUhB7TqIUeJTgBQI41s/XUm8mfYp8/W443g+V4KJrkaQGDPNBo58oTykDPabSF7WP9CQDkna9vZOupe6jleH+xHA/FlD4tYLCYHnIl/WMUGJMrEhPDdhKcAKAIbkqMD7lTv9bTg0yPqK2zmPhsOd5uluOhFJJHBbzAP3P7iooTRXZHYlrYp7yMAaAwfL3bh2NqPcldluOhApJHBbzALljMZmwPhfVIfJ77B1zbA4BCGVXrSW6I7mU5HqokeVTAi/o12kK6Uz9DgVHoFV/qvtKlP/VJAAAj5B8Mo/U0sBxvp/kCluOhktJHBbzEl7v+xmoyFI+vcV/oJH8AKKSB1tPLU3Z9T5fj+Sx/uhzvU5MzLMdDJSXPCXiZHTBfw8gTCsY3ecwK6Up/EgDA6PgHbhsse5Jl3ZmcFPv42XK8uW7bWY4HkJ3y6b5GB1eeUCS2zWJyyM30JwEAjFKv6B/aMq4lJka8Fb6I5XjAS9LnBAwlpoVcS/0MBYbHvrPoCP2LQVMAKKDb0jKu5R++wmNqZA9SV6hAPiUPCRiSb3G+GweFoIc0aqEnCU4AUBx9oqf1n7xkX5r+ptEW9qllTzJ/132JM54HDCF5SMCQ7E+LuYztIe/0d41a6K8EJwAogruDWkz6u2Y9WfYks50WraH7daA6lMfic9w+GtPXPQHllDwkYGgDm8p7Uj9kgVfTCxrtYd/TIAWAHOsfnJcOqtx/7gpTb+brPCaHntPnC0S5IdEZulvrWXQCJZA+JOAVfKnrcT7OR15dl5gU9hXBCQBy6f6/kcl2mFwdYuWD3Baf777Q5e4Q/1c9qdEaeoL4BDwneULAq9g+83VsKkcu3ZOYEbaZ4AQAeTK4xSRnJOt7ZQkopyU6wzf4a/43+r1GLYbMXUBFJU8IeKV7Gp1ceUL+PBZf4P4+wR4AcmHQSN6vmj18c/2nP2hMCPv2zTeabLPF9MgepS5YgZxInxDwajEl5Eb6hzLwrz7xFe7LXfpSnwQAqu3fvLRH5eawW0P9mX1i0THsYbz+zFe4r/D0NSuQB8njAV7DP3b7hrEo5Iivc5/v8jj9SQCgggaN5F2Qka4Rly7xpR6zY0TfeCsPJWaGbWbtHkB2yjc7az6fySjkhW22mBFyL/1JAKA6Bo3kHdPs8ShrPvlLYmr4apfHI76/JFck2kN/YG8EKi95PMDr9Gm0hfSmf3AD9rXFpJBr6U8CAKX3fF6K9pA7Y93WoL9otIZ9OfrekR7XGB9yir0RqLb08QCv5Ytd/2BTORKzHyzaQ8/zUgSABvo3L80OuVy3lGJfWtRCD421a2S7LdpCbhCfUGHJswFez743/4CxPaSkhzVqob8TnACg/ga1mDoi66lrnded+WqPaSEX6xN47CPzWZ51p65fgVSSZwO8wR2NiWwqRzJ6SqMW+jPBCQDq5vm85PNcuhrSyZHr4rPdl9b1v9+f+VL3VazdQ1WlzwZ4k5gcciv9gx4VpH9pdITtYdkjANTBv3lpvUdnNLTC0xMa7WEf20h38b2RdElMC9vK2j1UUvJggDfyj5ziFQnclJgS9iWvPQAYvUEtpgWe9TWjvLNvLVpDv2/UWjy5JNEWeoC1e6ie5MEAb2Snzd/myhOaq0tiVvgmXngAMGKD8tKHHpMa22IapC+zDRYTQ083NtjoEY3xIWfZG4GKSR4M8GZsKkeTdYsvdH+P4AQAI/BPXrLvzRd51JoYmZ5k2ZNM7oovdJ/vcqsZkcZ2WnSE3CY+oUrSBwMMQywMPcVlfTRFv/hK96VOXAeANxrUYtrkMbnZeekfck5iUvg6l57mhRn/wH2eZ72py1mgaZKnAgyHfWe+kSYAmsE/8Jgb8jD9SQAgn57PS7bPfEmCFtMLdL/GhLCdTd/f0Jf5Qvc1rN1DZSRPBRiWWxqT2FSOhrPPLKaF3El/EgDIlefzkp5X22IxNXFe+od9atEWejTN5ga5KzElbDtr91AN6VMBhicmUdGisWyXxcTQK0yHAsBT/+Ql6RI7aL48Zw2Wh5mv8JgZciXlpSO5IFELPcTaPVRA8kiAYfINbnvZFo1Gsf0WbaHnCE4Aqm5Qi+kvta0W0/PSYnqe/C0xPXyly6P02xr0kMZbIRfSnwRorOSRAMNkf5gv4soTGkJ/06iFHiM4Aaio5/OSPBQ9pL4yZy2mwfSIRi1fX1Br2y0mRXYv/UmABkoeCTBcvRq1kL70/8CgZPSsRlvYAbqaACrn37z0RPSy2pc5iiKvYV9btIYezN2MnK91f7tJ3/8LpJE+EmDYYkHoGToDqCf9W6Mz7BuCE4CqGNRieix6WP3dXLeYBunJfK3HlJA/8zgdJz3i893WFyOCAqORPA9g+Oxb802M7aF+bktMDdtKcAJQcoPy0hPRq2pfFa++l5vic90XudzLY3B6esjbEpNSbEsHmiN5HsAI3NSYzKZy1MlDiTnhH5LGAZTW83lJukWP5W7Ibfj0pEZH2EbL/0ScntVoDT1S4N828Erp8wBGIiaG3E3/rxEKr1d8ifu7Lv2pTwIAdfVCi0muSwl6ILpXY0LYnsL8IHpAY0LI5fz2x4BRSh4GMCK+3u1HJqwwNv3iq90XufSkPgkA1MOLealH9PeyND36M9tk0RGF+4nsc4spkT1IfxKgnpKHAYyInTBfwpAVxsQ3eswOeZD+JAAwai/mpScit8rW5ZD74kvc57jcKOSP5u+6L/GsP/1JgLpJHgYwMj0atWDOCqNmX1hMCbmV/iQAMAov5qVe0VMFa8gMk1yQmBK+xqW7kMEpe5LJY/E5bh8VZtQQeLP0YQAjFPNC/2RTOUbDdlt0hF7m9QOgSIZoMd0papwYJv1ZozVse+FTh9yQ6AzdXc58iypKngQwUrbLbDNXnjBi+pNGLfQ0wQlAAQyRl/pKnpf+YV9Y1EJ/LUne0JMaraHHS/LjoOqSJwGM2HWNqWwqx8jocY1a6BGCE4BcezEvPalKXnrqcearPKaHXCrVD64/aNRCrpbqh0JFpU8CGLnoDLmf/l84FIX+qdEWbGgEkE9DtJj6q1hky1WJWeHLXR6U8Me3zRbTI3uU/iTAmCSPARgFf9/tAHUwhueqxMSwHbxgAOTIEHmpai2mwfS4RlvYZivtVrr+zN9xX+7pTwKMRfIYgFGwY+bL2FSOYbgrMT1sC8EJQHrkpVexbyxaQ38s+Y0geSgxM2xz4RdgoNKSxwCMRjebyjEMj8TnuaGFCZ8AACAASURBVK8nZgNI6eW8JESmf/Rm9oHFpNAzJQ9OA+SqRHvoD5X4YVFO6WMARiXmhF7g3j9erU98mfs7Ln2pTwKgemgxDYfcEV/gvsDldoV+OXpcY3zIyQr9yCiV5BkAo+Nfu33KIBZeyde6v+3Snf4kACqCvDQiclZiYvgHnvWmP0yT2W6LtpAbvDxQQMkzAEbpqsY0NpVjaPaxxUyWMQJoBkbyRkH3aUwI21Xdmz/2kfksz7rTnwQYmfQZAKMVHSFd6f/VRN7YdovJITfSnwRAWdFiGr3+zDZbtIceq/adn/7Ml7qvYu0eiiZ5AMCo+XuuP3HlCYPYXov20Iu8MADUGXmpDh5kvtxjFt8Sm2VPMumSmBa2tbrNNxRS8gCAUbMj5itYoYZ/6S8atdA/CE4A6oaRvHqRSxLTwle5POIX+NzvpC30QLVbcCiW5AEAo/dYo40rT3hK/9Cohf5CcAIwVrSY6k5/1WgN+5wey0u/mSMa40PO8gJDQaQPABiDmB36F7UyRC9qtIftZfUigFEiLzWObbeohf5Ed+UVv5+dFh1RqUXtKLDk1T/Gwre7fU65XHk3JCaHbeeVAGBkhsxLQmSqo+7M13hMCbnAb/V1/AP3uZ71pD8J8AbJq3+Myd8aMxjbq7b7EjPDPiY4ARgu8lJzyA3xOe5LXO7z632TvswXuq9h7R5yL331j7GJjpCH6f8lRhrd4m+7r2VlCIA3YCSvyfQPjY6wTZb1pz9MIcg9iSlh27gShnxLXvpjjPxd10NceaqkPvF33Je59KU+CYBcYiQvFd2j0Rq2lxgwMnJBohZ6iIthyLHkpT/GyH41X0nboYp8vft8l0fpTwIgV8hLKfVlttGiM/QkAWA09JDGW1wPQ44lL/0xVg/ZVF5FtsViesjd9CcBkAeM5OWB3BNf5D7P5Sa//NGz7RaTIruX/iTAENKX/hizmBl6mbG9CrEdFhNDrqY/CYCEyEu5IuclJoevdenhrzBWvtb9bc/60p8EeFHyuh9j51+4fcmataqwHy3aQs+TloGKYiQvh/SgxoSwr7ngVB/SIz7fbT2/T+RP8rofdXBJYyZje5WgRzRqoScITkC10GLKM9tq0RZ6hAtO9SS3JSaF7SQ+IWfS1/2oh2gPdgaUnp7WgW+mT34SAE1AXiqAR5mv9JgRcpk/Tf3pWY1WQilyJnnRj7rwla6HKanLTC9pdITtZjgTKDO2iheIXJGYEb7C5SF/oEbRAxoTQi7xG0ZuJC/6URf2s/lqNpWX1y2JKWFfEJyAciIvFY7+ptEW9ikTZQ1nn1tMiawr/UmA7AnZqTQeaLRz5amkHkjMDv+IbAyUCiN5xWU7LVpD9zNL1iT+rvtiz/rTnwQgO5VHzAi9wthe6fSIL3Jf7dKf+iQAxoyRvMLrzXydx+TQcwSn5pHH4nPcNtLlQw4kr/hRL77V7StmusqlX3yV+xKX3tQnATAG5KVykNvi890Xutzhz9f0X/4Nic7Q3URWpJa84ke92EWL2YztlYpv8JgT8jD9SQCMFCN5JSOnJTrDN/CFrcnoSY3W0OPEJySVvOJH3fRrtIU8Tl8xoC5sq8XUkNvpTwJgmBjJKyv9QWNC2LfMjOXgD9EacpX3FNJJX/GjfnyF61GuPJWBfWPRGfo3f00g78hLJdef2ScWHaEnaHfkgm2xmB7Zo/QnQUUlL/dRR3bQfA3b2ArPDli0hZ4lOAH5RV6qAukSX+oxO+Qaf9wc8Xfcl3vyY6Cikpf7qKcujQ6uPBWbHtOohf5GcAJyhxZTpchfElPDV7s85k+cL/JQYmbYZkYokUL6ch91FdNCrqWvMDA6ek6jLWw/+xKBvCAvVZP+otEa9iXVeU7JVYn20O8ZpETTJa/1UV++xW0HlXch6RWNzrBd/PmA9MhLVWbbLGqhh6jLc02Pa4wPOckbE82VvNZHfdl5i7mM7RXQHYlpYZ8RnIBkaDEh6858tcfUkIv83QvA9li0hdzgj4UmSl7ro84GNpV3p69CMAIPJeaGb2DPB9Bs5CX8Q66Lz3Zf6tLFC6AwbJP5LM+6058EVZG+1ke9+TLX42waKI5e8aXuq1z6U58EqAzyEl6gJzTawz62rD/9YTAC/dnAv6HpT4KKSF7oo+5sn/n7dDAKw99zX+i0CoFGG7LFlP6fYeSA7bZoZfFAUUmXxPSwrSz2QFMkL/RRf/c0OrnyVAz+kceskK70JwFKiZE8vEFfZhssJoaeJjgVmFySaAs9wB8RjZe+0EcDxNSQG+mrFryefWkxJeRm+pMAZUJewjDJXfGF7vNdbvHyKDw9ojE+5Cx/SjRY8iofjeCfuH3DxrZcsz0WHaGXuJkG1Ad5CSMi5yQmha9z6eF1UhK2y6Ij5DZ/UDRS8iofjWBnzedx5Sm/9GeNWugpghMwJrSYMDp6QGNC2A5uyJSNb3Cf61lP+pOgtJJX+WiIPo22kJ70lQ1epic0aqGHCU7AaJCXMEb2qUVb6FHuxpRRX+aL3Newdg8Nk77KR2P4Ytffqc5zR89rtIf9wEQlMDLkJdTBw8xXeMwMucKLp7TknsSUsG00FdEYyUt8NIj9YP4BY3s5c01iUtjXBCdgWGgxoY7kb4np4StdHvESKjm5IFELPURrEQ2QvMRHo9zRmMim8jy5JzEjbDPBCXgd8hIaQY9o1PgKoArRQxpvhVzg0YF6S1/io2FiSsit9JUQ5InIY/H57uvoBAJDIy+hcexri9bQg3QhqsW2W0yK7F76k6BUktf3aBz/yG03XY4c6BNf7r7CpS/1SYA8ocWEhuvJfK3H5JA/eV1Vkb/v/rZnfelPgvJIXt+jcey0+QIaHen5++4LXB6nPwmQHHkJTSM3xee5L3K5xwusoqRHfL7bemY1UT/J63s00MCm8t701VKV2ScWM0LupT8JkAp5Cc2npzQ6wjYaPYeKk9sSk/guL9RP+voejRQL+QLWlOwri0kh19OfBGi+IfOSEJnQeLpXY0LYHsplZNmTTM9qtIYe4cIb6iF5cY+Gsu/MP2RsLw373qI99ALZFRVCiwmJ9We2yaIj9HcKZfxLD2hMCLnEswhjlry4R2Pd1pjEpvIE9FeNWvD1xKgC8hJyQu6LL3Gf43KDlx9eZJ9bTImsK/1JUGzpi3s0WEwKuZ2+uqoUPakD38qX/CRA4zCSh1yRCxJTwt9z6eZFiKH5avfFnvWnPwkKLHllj0bzD932sqm8efQvjY6w7/ido4RoMSGf9GeN1rDtXHDC60i3+By3jbxOMAbJK3s0mp00X8iVp2a5ITE5bBvBCeVBXkLO2RcWtdBfueCEN5MbEp2hu3m1YLSSV/ZouF6NWvCtrM1wX2JW+CaSKsqAvIQCeJz5Ko/p7ADACOgpjdbQ48QnjEr6yh6NF2+HnuHuTYN1iy90X0NwQoHRYkKByDWJWeHLXR7wEsXI6A8arSFXeeVg5JKX9WgC2200QxqrX3yl+1Lnm4hROOQlFJEe12gL22zc+8fo2BaL6ZE9TH8SFEzysh7NcFNjMpvKG8g/cJ/n8ij9SYDhIC+h0Owbi9bQH5m5wpj4O+7LPfkxUDDpy3o0RUwMuZu+Yisl+9Riesid9CcBXo+t4ii83sw+sJgUeobghLGSRxIzwz5h7R5GInlNj+bw9W4/sPyt/mynxcTQq1wnQ07RYkJpyB3xBe4LXG7zAkZ9yFWJ9tDvieIYtuQ1PZrDfjdfzJWnOrN9Fm2hfxKckC/kJZSPnJWYGL7es970h0GZ6AmN8SEneUJieJLX9GiSHo1aSH/6qq409KhGLfQ4wQl5wUgeykr3aUwI28VsFRrC9li0hdzgaYlhSF/To1lifug5Cv360DMatbCDjEEiMVpMKLn+zDZbtIceY6oKDWSbLGZF1p3+JMi75AU9msZ2mX1CrV8HelmjM+xbfplIg7yEqniQ+XKPWXwPDxqvP/Ol7qtYu4c3SV7Qo3mua0xhU/mY3ZKYGvY5wQlN9aq8JEQmlJRckpgWvsrlES9yNIN0SUwP28poKF4rfUGPJorOkPvpq8ACeyAxJ/xDtm6gSchLqCY9rNEa9jlVLJpKLku0he5nQBSvlryaRzP5+277aZiMVo/4Yvd3nZUbaChG8lBxtt2iFvoT9SsS0KMa40PO8sjFKySv5tFMdsx8KT2TUekXf9d9sUtP6pOgjBjJA7InWdad+RqPKSEXeOUjGdtl0RF8jRiGlryaR1N1s6l8lHyjx5yQB+lPgjIhLwH/kBvic9yXuNznLYDEfIP7XM960p8EuZO+mkdzxdzQ82wqHxn73GJqyK30J0EJMJIHvEz/0OgI22RZf/rDAFlf5ovc17B2Dy9JXsqjyXyH2xauPI2AfWvRGXqZwInRYyQPeA3do9EatpfNEMgRuScxJWwbL0sMlryUR7Nd1ZjGpvLh0oMabaFnCE4YDfIS8AZ9mW206Aw9yWYI5I5ckKiFHuLFieekL+XRdNER0pW+rMw/Pa5RCz1KcMIIMJIHDJPcE1/kPs/lJm8Q5JT+ovFWyHleongmeR2P5vM1rgfJA2+gf2q0he1jvhFvRl4CRkrOS0wOX+vSwzsFuWZfWUyM7F76kyAXktfxaD47ar6CTeWvdVViYthOghNeiStMwKjpQY0JYV9zkwTF4O+7L/CsL/1JkF7yOh4JPNaoceXp1e5ITA/7lOCEIZCXgDGyrRZtoYe5Q4LCkB7xBW7rSfsgO1VVzA69yNjeUB6Jz3P/gL4c/sVIHlAfjzJf6TEj5DJvHxSM3JaYFLaD+FR5yYt4JOHb3bbSV3lJr/hS95XO1weDkTygvuSKxMzwFS4PeROhkPScRmvoEVqm1Za8iEcaf2tMZ2zvRb7GfaFLd/qTIBXyEtAI+ptGW9infGaPYhu4qieX+EehwtIX8UgkOkIepi9V88M3ecwKuZ/+JGgyRvKAhrKdFq2h+/m0HmVgn1tMiawr/UmQRvIKHqn4atdDXHl6yrZZTA65kf4kaA5G8oBm6M18ncek0HMEJ5SHr3Zf7Fl/+pMggeQVPFKxX81XshFB5InYdxYdoX+RJMuPvAQ0jdwWn+++0OUObzGUinSLz3HbyAxq9fSSnarskUYbV55ED2nUQk8SnEqLkTyg+eS0RGf4Br4SB+UkNyQ6Q7+loVol/Zm/62SnSotZoZcrnRn0D41a6K+V/iWUEiN5QEL6g8aEsG/5VB5lpqc0WkOPE5+qwj6wlnEtZKdK8y/dvqzupnK9oNEe9n11fwMlQ14C0uvP7BOLjtATFJQoP/1BozXkCv/KlJ9tsZZxLf/j/5tNdqq2Sxozqzq2d11iUthXBKfCIy8BedGV+VKP2SHXeAOiKmyLxfTIHqY/CRrHvnoanMhO0GgPeZS+/G22exIzwj4hOBUVLSYgb+Qvianhq10e8zZEtfg77ss9+THQIPqdtoxr+R//d/YAslPV+Uqv3G2fx+IL3N9nx2DBkJeA3NJfNFrDvuSCE6pIHknMCvuE138J6U+DghPZCWqHzN+tUoroE1/hvtylL/VJMDzkJSDnbJtFLfQQF5xQXXJVoj30e94FpaLHXgxOZCeoPtBor9CVJ1/nPt/lcfqT4DVoMQHF0J35ao+pIRd5b6Lq9ITG+JCTvBdKQs7Iy8GJ7ATVJxozQq9UYmzPNlvMCLmX/iR4GXkJKBa5Lj7bfalLF29SIMueZLbHoi3kBu+IwpNLQwcnshNUn6hvddte/q0J9rXFpJBr6U+Cf5CXgILSExrtYR9b1p/+MEB+2CaLWZE9Tn8SjJrcGAhOc4ZEdoLqRY1ZJR/bsx8s2kPPV6K9ln/kJaDQbLdFK1c7gKH0Z77MfSVr9wrrXtYyruV//t85r0J2gurApvLyXgHSwxq10BMEp5RoMQFl0JfZhxYTQ08RnIChSZfE9LDPWLtXQI/eEJzITnjKV7geLWe00FMatdCfy/nT5Rx5CSgTuSu+0H2+yy3ewsDryGWJttD9fMRQKL1vDk5kJzxlB83fK+Gmcr2k0RG2p/y3uXKFvASUj5yTmBS+zqWH9zLwZnpUY3zIWd4vBdGf+UonO2HYusq4qfymxJSwLwlOzUCLCSgxPaAxIWwHM0jACNgui46Q2/w7WAC2zoYTnMhO+FdMK9cOui6JWeEflbCZlh/kJaAK7FOLttCjTB8BI+Yb3Od61pP+JHgN+8RaxrX8z/+eMxxkJzzln7rtKEuLplt8oZdyCjEPyEtAVTzMfIXHzJC/eYMDo9KX+SL391i7l1+2bQTBieyEf9l5izmlGNvrF1/lvsSlN/VJSoQWE1A18rfE9PCVLo94mwOjJ/ckpoRtY+Q1j3S3toxr+X/+e87wkZ3wTL9GW0h3+jJ9jHyDx9yQh+lPUnTkJaCy9IhGjSXLQH3IBRlY+Zv8JHieHhhxcCI7YRBf5nqs2Lu87TOLaSF30p+koMhLAOxri9bQg9R5QN3oLxpvhZznH9O80KOjCU5kJwxi+83fL/AdIdtl0Rl6pdjxL4lX5SUhMgGV0pP5Wo/JIX/y3gfqzL6ymBjZ3fQngZyS0QUnshMGu6fRUdQrT7bfoi30HMFpuGgxAXie3BKf577I5S4PAaAh/H33BZ71pT9JlcnF0QcnshNeFFNDrqcv60dKf9OoRdEHDpuAvARgSHJKoiNso1HVAY0jPeIL3NZxkzDdn+DamIIT2Qkv8k/cdhVsU7me1WgLO1CwYzcTI3kAXkP3akwI20M9BzSc3JaYxDdNJ/rl3xlrcCI74UV2znxeka486d8anWHfEJxeRIsJwJv1Z7bJoiP0dzZDAE2i5zRaQw/zpmuuh1nLuJb/9d9zxojshMEGNpX3pC/9h+W2xNSwrQSnp8hLAIZP7osvcZ/jcp1HBNBUelBjQsgl3nrN0lOf4ER2whB8ievvRbg49FBiTviGInXJGoSRPAAjJRckpoS/59LNgwJIwL6wmBJZV/qTlF9/5iu8ZVzL/xo/Z+zITniR/WC+PveBpFd8ifsql/7UJ0mEFhOAUdOfNVrDtnPjAkjJV7sv9qw//UnKzdfWLTiRnTCUuxqd+d5U3i++2n2RF2a2sE7ISwDGzr6wqIX+yl0LIDHpFp/rtpFPMRrINlkdgxPZCUOLKSE300eFV/GPPGaHPEh/kiYgLwGom8eZv+sxjVsWQF7IDYnO0G/5LKMh7Is6ByeyE4bmm9x253QBw8B8sNxKf5KG4goTgPqSaxKzwpe7POAxAuSIntJoDT1GfKoz+6b+wYnshKHZGfMFebzyZLstOkIvFWGVxRjyEi0mAPWlxzXawjYbNyuAHNIfNVpDrvDPff1+pfu0EcGJ7IRX6NNoC+lNHyeepz9p1EJPlyo4kZcANJp9Y9Ea+iOfagP5ZVsspkX2MP1JSkAPa8u4lv8YP6cRyE4Ymi9yPZmjlKInNGqhR3J0pLpEppf/T8mfOADKozezDywmhZ4hOAF55++4L2Pt3ljJH9IyruU/xs9tELIThmZ7zT/My9ientdoC/sxp1ewRpqXaDEBaAK5I77AfYHLbR4yQAHII4lZYZ+wdm8Mv8PzjQ1OZCe82m2NifnYVH5NYmLYjkIGJ/ISgCTkrMTE8PWe9aY/DIBhkqsS7aF7aRSP6rd3peHBieyE14nJIbdTx4+7EtPDthQsODGSByAh3acxIWwXn14DxaMnNMaH/EHBMDJyuxnBieyE1/EP3b5LGloeic93X5+X0cFh5iVaTACS6c9si0U7+46BArM9Fm0h16kfhq0raxnX8h9vzW0CshNeyU6aL0yXW/rEl7m/49KXPheRlwAUwIPMl3vMCrnKIwgoNttkMTOyx+lPUgDdzQtOZCe8Vq9GLVJFF1/r/rbL4/QBafh5icgEIBW5JDEtfJXLIx5EQPH1Z77MfaWnP0nO9WW+zFvGtfznW3Obg+yE14m303yfkn1sMTPkfvqk9HJkIi8ByBs9rFEL+5wLTkB5yAOJ6WGf8b5+HX+vqcGJ7IQ3sN3mHzV7bM+2W0wOuZ6jvMRIHoDcsq8saqE/ccEJKBu5LNEWup9399BsozU5OJGd8CY3NSY3dVO57bVoD72Y7DtwGckDUBg9ma/xmBJygacTUE56VGN8yBne4y+yrQmC03++NTfTB6mrc+RbTAy526Tcor9o1EL/SBCcyEsAikVuiM9xX+Jyn8cUUGa2y6Ij5Bbv9Od+JzvTBKf/fGtuFlMi3oqYEr7CfZvbcdPbqv3pS3bkhH/g9kMzNpXrSY1a6C/NC06M5AEoKP1DoyPsI8v60x8GQKP5Bve5nvWkP0ke6A+aKjj951tzn53jcSZ/if6o9oH5bI/WiM6IBeEfu/1k+rdqT/oiHknY7+aLG37lSS9qtIftbXhIIy8BKDr9TqM17DtukAOV0Zf5Ivf3WLuX6S8pg9Nz2WmoP5LcED2s9pn5Io+OiLaImeFr3faYnTOG/aqiR6MW0t/ISHNDYnLY9kYFJ64wASiJvsw2WnSGnuTuOFAtck9iatiXlf7QRE9oy7iW//3W3IRG+Ge7L3JKbKf5Ko8pERMipoQvd9/mdoxhv9KK+aHnGjZKd19iZtjH9Q9O5CUAZSL3xBe5z3O5yUMMqCK5KFEL/bmiH53IOUkenEacnYYwMOy3T23Ds2G/jogF4ZvcDjLsVxL2jTUi28gTkW7xt93X1m0mkJE8AKUk5yUmh6916eFpBlSX/qLxVsj5yj0H5G9pGdfyvyfMTa4BP15fJjdFj6h9Zr548LDfbrOzDPsV0A2NKQ3YVN4n/o77MpfeRuUlIhOAEtCDGhPCvq70rA6AAfaVxcTI7qY/SdPIrbwEp8ZkpyF/5vsip8V2mb/rMTViQsTk8OXuX7odM73FsF/eRWfIvTpnJ1/vPs/l0VgjE3kJQInZVou20MMVndIB8DJ/332BZ73pT9IM97P8BKfmZachdGdySXSf2ofmczxqER0R858N+11W7U4fGPAPX+e2r55je7bFYvqIvzmKkTwAFfIo85UeM0Iu84gD8C/pFV/gtq4CvejH+QpOSbPTywaG/Y6qbR087Lfm2bBfV/oIUVl23Hxp3W4l2Q6LiSFXx5qXiEwAykquSMwMX+HykAcdgBfJbYlJYTtKHZ96M1/iZKcR6sqGGPZb5v6F228M+zVRd902lduPFm2hf75hcR95CUBl6W8abWGflroqAjA2ek6jtbwDvf2Zv5u74FSE7PSygWG//S8N+33kdoBhvwaKuaHnx7qpXI9o1EKPD/3fYSQPAGynRWvo/pLWQwDqZ2CRjFwqYZlkG6xlXMt/TZibN+l/NXXw/LDfEo/OiLaIGeFr3L41O8OwX33YDrMtY7rypKc1aqE/6TDzEpEJQLX0Zr7OY1LoWYITgGGxLyymRNaV/iT1/KG25DQ4lSU7DakrkzNi35iv9pj20rDfTdW+9GmkYK5pTB39pnK9rNERttvISwDwMrktPt99ocsdHoMARsBXuy/yrD/9SerCvspvcCp1dnpZdyaXRQ+obTSf+9Kw3yWG/d4sOkO6RpWdbklMCfISAAxJTkt0hm/wrC/9YQAUi3SLz3X7sAw3JHWvtoxr+a8J83Ir/e8opf5Mbon+pvb54GG/99y+YdhvCL7G7eDIxvZoMQHA6+kPGhPCvi1D3QMgCbkp0Rn6bbHHffXnvAenymenIXVlclbs2+eG/SaFL3X/3O1o1Yf97Kj58jdvKh+Ul3rEF7mv9n929KX/EwNATvRn9olFe+jxYlc8AJLTUxqtoceK+jDRYwUITmSn4Rly2G9e+Ea3/RUb9nv8uk3lQ/SX+sXfdV/i6f+IAJA3XZkv9Zgdco0PlQDUgf6o0RpypXiPFDkjLeNa/qt1Xv6l/2UV0j/Dfl+YL3027Df92bDfadP7qUNOw8Ts0Iv6xpG89H8jAMgx+Utiavhql8c8MAHUjX1qMS2yh+lPMnxySVrGtfy/rfMKIf3vqzweZE+H/d4r87Cff+XP5yU9ovKIsAQAI6C/aLSGfckFJwD15yvdlxVm7Z7cKFJwIjs1WE8mf4seVPvIfJ5HLaJ98LDf4/RZaMSuaMu4Fl/oMTWiLaI1YnL4Qvf1bjtMD6v8JXJfWBUFAEOybRa10ENFvZMAIOfkkcSssI+L8OnMvaxYwYns1HT9mdwWPfZs2G/is2G/1W67CjPs9+LGvB7RO6p/qv1sts18rfsCj8kRbRG1iKnhi90+NPvG9KjKZcm6sqJ8FgIA9dSd+WqPqSEX6dUDaCC5JtERujffn9E8Kl5wIjvlw4NMzonuVn/PY/qzYb8l7lvdjpjeyN2wX8u4Fr2hr1qy96Ju0VuqZ9QOmH1u/p7HvIhJEbWIWsT08GVum0z3qB5XuSLZQ5IVgBKS6+Kz3Ze6dBGcADScntAYH/JHXh84vYUMTmSnvPpn2G/Tc8N+c8M/dNtn+lfiYb+WcS22Y2Tf8vRKj0VvqJ5S+9H8M/dVHnMiJsbTH3lm+Aq3zabfq/6hcl2yR6n/NAAwcnpCoz3sY+OzIQBNY99ZtIVcz1986s98pZOd0EgDw37H1b40X/bcsN+7brvMTjV32O/RS2N7jdAv8kj0murvanvNN7u/4zEroiNiQkRH+Gz3VW6fme5TOS1yU7Lu1H8mAHiJ7bZoDf0+38MzAMrIPraYGdnj9CcZdKr1VtDgRHYquH+G/dYMHvb7zO1wY4f9Wsa16INhj+01KFk9EP1b9ZjabvNN7ss8ZjxLVp3hc91Xu31helDlrMhtyXpS/70AVE1fZh9aTAw9RXACkEJ/5svcV+bomzbtkwIHJ7JT6fRkckX0J7VN5vM92p4N+21w+7Gew34t41psf53G9hqhT7RL9ZLaUbNd5h+6L/GYFtH+LGHOd1/rtt30kMp5kbuS9ab+2wEoF7krvtB9vsut/A3MAKgMeSAxPeyzXKzds23WMq7l/7TOK670v0Q01j/DftueG/abFv6u206zU6b3RhWfLjdlxmpnfAAAIABJREFUbK9xyeqe6kW1X812mK93XzR45frbz1au/6pyUeQeK9cBjIz8KTEpfJ1LD8EJQGJyWaItdH/iBrju1qIHJ7JTVT3M5E/RPeprnw37TQxf/GzY7/qwhv1axrVIb+oU1Ai9z61c327+/itWru96unJduoTL3wCepwc0JoTtyMWnvACQPcn0qMb4kDPJPs3RA2UITmQnPDMw7Pez2sdDDftdVH001JWn40mvPCUxsHL9rNoBsy+GWrm+1G2T6W5WrgMVZZ9atIUe5YITgHyxXRYdkWSKWI9qy7iW/1ObVwLp/5DIqf5M7oieUNtmvtxj0rNhv1VuO8xOmh2yAo/tNcj/3959bkd1LG8D7wrPucT/Zbx3wIwyQmSRswkmGZtsbDAZk3POOWckhIQS7weESRIo7Jne4Vnr98nnLFQa7eld1aH6By3Xaz+1XN9g+q/qVZVnbLlOlC+dwRc5JkMec58eEaWRr3Wf5lXuniU3JDeFE2snGqGPm/0OqP/qmIT//d///uOz3Ze7b3Tba3ba9KbqM9UOzee+vtH5r+X6wS9arjcMtFzHVPgSt82mh1Wui7xgy3WiLJHHgonwJS6dLJyIKK36gs9xX169tntyP1eFE2snGq2OgHr4fNd21Tdq1+zLOupLmAQ0fFp4GQ9Mgy9wX+P2l9kh04uq91Vfq7wX6Y9d20T0seX6E9VLavuHbrn+p+kxlVsir9hynShF9JyiJi1trIiIfkDaBRNgf1VjvJJneSucWDvRKPly96Uu1wVN+OZ/0g+q/artajfNDgxeU+lD1StqR812mK9zX+yYDjQDdUANUA+0wGe5L3Xf4Lbb7KTpDdWnqm9VemLXOdX3Zcv1PZ9ark/81HK98VPL9b9NT6rcFXnDlutE1WP/GMrQYzzgRETZIPcFNdCTlR21pE3+93//+381rdk1aBIb/+9HmaMnFXWQtxI+BEwc1pHogQ4THWp3zQ4PXlB9Wy28U32helvtrNl+8y3uv7rPdUzGQKf1WqAJmAqf777a7U+zg2YXTO+pvlLpKsxC1jct19cM0XL9H7ZcJ0paT/CVjvGQO9ynR0RZoqcV4yB3KzZ2dYbohdNQW6KGT0+qXlK5LfJY5LXIOwndIf4fj7JF2gV10NMD9ZIeVZ8xyl2zAwVVp9oDs2PDKKgG1S3apvpI9aracbN/zH93X+KYAUz4YiFrAnyG+y/uf7jtNDthek31sWp73heyvm+5PutTy/Xyp5braz+1XH/IlutEwyWvxFvd57i0sXAiouyxHYZGhLYK/OM9CRROlap8xp7kRP/LUbb4L+4rviiW+gJqIQ8SSx0GCqr3qo/1Yyu/0RRUgy7OdKq+VL2rdt7sX7M/zVe5z3NMwUAXwVqgEZgMn+e+0m2r2QGzc6Z3VF+odIr0xS6EEtfzqeX68cFarrfA57v9zpbrRN+S64J62DrjKi4RZdfHSywT3uffH3yRJ1P5XFa5I/LkU+XTk44kJH4ElB16TNGA8O6r//gx567sz/1YUPWoPlU7m1xBNVQ58Vb1iep1tRNmu8zXu//iPtPRAtQDNUAd0Ay0whe7r3P7x+yY6VXVR6ptKt2xK6Kk/Ndy/YjZFvOlX7dcn/RFy/UrbLlOBaL/Kkqw/ewMQUTZJr3iM91XfZvFJV75hHchLZXP2MWPgDJC3ghqoOe+Pd0kbwXjIO3V3rUyUFD1qr5Qu1jhgup7/aJdqq9U76ldMDtkts18tfsCx9QvFrIagEnwOe4r3De77TM7Y3pb9bnKu4wvZH1suX51sJbrdcCU71quv4//DBONVX+wPwz10CvsDEFEKZVA5XMqv5XP2MWPgDLCF7qvHnx9yVe4/ZmKKdiBgqpP9bXalaoXVIPqFe1Qfap6Q+2U2R7zDe7L3Gc5Jn5q4P5xIWs6fJH7b27bzY6YXlZ9oPomgw3c+0U6v2i5vt59oWPyFy3Xp7HlOmWPvBWf5z7N5TkPOBFRpbDySbv4EVAW6CFFE4balCUPBbVIc1/sgc7pbWo3hryKKn698V70teoD1Utqh83+Nl/rvtAxDRj/qe9FAzAR2b6J+GPL9UefWq6v+2HL9TtsuU6pIPcFzfDlLt0snIhoSMlUPldY+aRY/Ago9eSloAy99KM9Kj7T9UjGNrEMLFK9VbttdjAdi1TD8XEh65nqLbUzZnvNN7mvcJ/jebiJ+L+W62eHbrm+ii3Xqar0pKIM256K1XUiqpzEKp+7Ik9F3kjoZOWTO/EjoNTzeW7rfpI06AVFy7f35GbRQEH1Tu2e2ZHsFFTf6xfpFn2jubqJ+GPL9btqp75oud78qbJqhs/5ruU6KysaG9tmqIGeydjcEFEBJVD5nGblQz8TPwJKN92vaEbo/vn/E+Oh1/KZXgwUVF1qD81OZLmgGlRubiL+puX6CseMQVqu2z7TiypPJLzjG5F+6H3wpY6WJK9hIKKhsPKhbIgfAaWYPBOUoFeHVRHpPvV5lW1WnioDBVW36hO1M7krqAaV6ZuIu0VfqN5QO2K21XypY/rXLdcXsuU6fSbPBFPgC1zesXAi+jlWPlQU8SOgFPPZbuuHvcW/O6AMeVboPOPzVVTP1c4Xo6D63vc3EW9N/U3EX7Zc3+S+xDGVLdeLSy8pamEbjXkbFUQylc9VVj5UAPEjoLSy3YYWjKh5tK03W8vj1N/63Dn9pdqlohZUg+oRbR/JTcS/x7iJeEQt12+y5Xrm2R5DGXo4nzuQKZcSqHzOqF5VuSfyTKRNQmcIvZ8rH3khKAHjoUf5vaDCix8BpZI8FpQgN0e2iCSvBCWEzvjxp99AQdWv+kbtWlo7p6fENzcRHxziJuLG724iPlv5m4j7P7Vcv/Cp5fr8r1uut7qvYMv1jOgNtsbQBL3JBJGqZOxlz//+7396TuW6yH2R5yLtErq+qnzGzpe6/WF6QVGH8C7+h0YUU/wIKIX6g89w2zyaFSRf5LaTS0+jN1BQtavdNDvARaoR6hV9O9qbiB9W4CbiL1uu7/phy/XTKvfYcj0meSM+y32my+tCbzymEUmg7Dmmel7lhshDkRcibyW8D6kaB+SOoAzpkPAh+BLn7hIquvgRUPrYP4bJo7zrVm4LGsAtzskaWKTqULtjdogF1Zil5CbiXtG2Ty3Xd5ivGrrl+jm2XK8suSVohK92rgoWSgKVz3HVCyq3RB6JvBTpkNCdrspn7Hzm5ylReSUoQ25xfoEKLH4ElDLyQDAOcmf0IyOmQE9zx0vFDRRUnWr3zY6xoKqML28iPv3pJuLl7rMHu4l44aebiA8ncRNxj+hr1dtqx83+Grrl+l7TiyqP2XJ9DF+lI4oSbDdn0zMmgcrnpOolldsij0VeSegI+at8xkjPKRq/mku1XeZTnaMNFVf8CChV+oNPc9s2phxCT6pPLVCz8lQZKKjeqz5SO8WCqlq+v4l4u/lv7otGchPxiBayukVf/qzl+nrTA2y5/kP9wTYZ6qAXOd1TbQlUPqdUL6vcEXki8lrCOzZ2S1p/QAv0mH77HyfD9nCugYoqfgSUJvaX+VQf66xbf0A95C7X9NPic+f0p2pnWVBFNYqbiLeN/CbiLtHnP2u5vsn0kOo1LW7L9XfBFzqmQJ5ysBqxBCoftrROPT2gmIrv/7vcEJQhb/jFoUKKHwGlhtwVjIPcT2A0tB3mS7j0lGoDBVWv6gu1iyyo0ufLm4iPJXcT8X8t1y+rHfiu5Xo9fJr7Uretpkc/tVzvjv+4Jk4eCVrgv7h0FTH/S6DyOat6TQcau7Ul39iN4nsfUAe9OviSrK92X8q3PBVS/AgoJfoCpsC2J7QK/y6gxEmp7Pl8FdUrtSssqLJg+DcRTxnsJuKXX99E/GXL9b1Dt1z/y/REhluu61lFDezPTG46GnvZ87+PLa1viDwQeSHSLuF9yOLfkSrKtprPH7I6kg5BLTe7UiHFj4DSwbaYtyZ5+tNXu23MZGpC3/h8FVWb2nVeRZVZw7yJeMKPbiLWt6oPPrVcX+s+19HyqTFgE3ym+yq3HaluuW47DDXQE3FyvgTKnmOqF1RuijwUeZnGltaUA/JGUII8+tEEqB5WTBhlS16iDIsfAaWA3Pr5KDnif/OpoIzQE/+3owoZqKneqt02+5eLVHkx0puIf/36JuIft1xfY7brU8v1t1WvrHqCr3A0j/40ZgKVzwnVi59aWr/KZ0trygFf5b7651vyfOZYm0sRZU/8CCi63oCJsF3JD38+x/VfLugXy0BB9U7tntkRFlS5NtqbiD+3XB//Rcv1eW7rKthyXV5IApXPSTZ2o/yThzLMXffyQFBitxUqmPgRUGy20XxWRU586hVF8yAteqhoBgqqLrWHZidYUBXMKG4iXjZIy/UEKp/TqlfY2I3oJ3y+D/80oG00n8emEVQk8SOgqOR6ZSeNMAF6iUtPNIiBgqpb9YnaaRZUOZdA5XNG9ZrKPZFnIm0SOtnYjSh5ekVRhxF01+wOaIx2gJAogvgRUETdAROg+yo45OkhrdCiFuXS56uonqmdZ0GVCmMve/73sbHbdRload3OltZEKYUpGOlmez2jaAAv4KaiiB8BxWO/m8+tcGHTG1ADeczN0DR6n6+ieql2iQVVtSsfPaZ6XuWGyEORF2zsRpRbekzRglFMavhCtz/YNIKKIX4EFIleVpQhLype1dhm85VceqKEfb6K6o3atdx2Tk+g8jn+RWO3l2zsRkRD6A1ohJ4fzVYUeSEojb6DJVGWxI+AongfMB56sBoblKVNUELoiP0rUzEMXEXVrnbT7EDkRaoEKp+TqpdUbos8FnkloSOw8iGiSrB/xtQ4ynaYt3KelAogfgQUg60xX1C9Mc6Xuv3N1XyKZmCRqkPtjtmh4RZUCVQ+p9jSmogyQDoEZcidMSwc9QVMhB5g0wjKu/gRUNXpBUUN5HX11tblvqAOnCyn6htT5XNG9arKPba0JqKcs9/Nl411RlWvKmog7dy5R7kWPwKqss6ARuiRas8M+XTX45yOovSyP812G0rQy3xQiahA5JmglMz5Z//V/Vfu3KNcix8BVZevdF8SYVzTs4rJvCeX0sunuzwUPagoQ25z3pSIisKXuG1IZl+9tAtqoFc5A0X5FT8CqiI9o6iFtMXIC/sDGiE3mZJSSqE0sK3UdhrqII/4rBJR/sktQQ3Cu8T+QT2gmMhd+pRf8SOgqukIqI95+bftrmqDCqLhk5eCCZ/XRW2roQnykuUTEeWcz3DbnXAzJ29128EGUZRT8SOgavFlPvaToGPSFVBiPkpppEfVfvvqTW/rDJMgb/m4ElFu6RnF+OTXiORuYgeoiFInfgRUFXpSUR8/EbR1Zr9zLopSx5f69zdC+nL3Vg9d8cMjIkpef0Az9GRFdqPYH+YLudOE8ih+BFR50iaohZ6Jf3bz49Xj4X38z4ToS6gf7PrmvuAL3ed56I0fIRFRsnSf+rSKlTddAQ2pSDyIEhY/Aqo8X5KinqE+320Pl54oTboDaoZoAtkdfKb7Uue1TkSUK10BtZDrFdyNoicVTQjdsX9TomTFj4AqTI8qGpJsoTNGckPQyGbllCJyQ3ze0JMLHQFTYGtY8BNRftjmauyp83luGzl4Ur7Ej4AqSV4LavD9QY64MAl6Ll0hUZHZFrO9P3q7y2tBM2wTMwAiygN5JShBHlf8CLQ8FZQgD9g0gnIkfgRUSb7QUzhfrsfUW9Oyh5DIp/pPcwh5IqgHu+4SUQ74r25rqzSa2TbzmXzjU47Ej4AqRg8qmpDGLmF9AXWciKK0QAnDOc4kdwU10ANcMiWiDJP7gjKkvVqv4N6ACdDDHDkpL+JHQJUhLwRl6OWUjlb2l0W+bIroQwgfvykTh3sAT68qStDjKf1aERH9lM91+6uqS+h6SVEL6eCEKeVC/AioMnyup/kmJXkrGFfFeS+iIehhHdE3Rc8qStALLJ+IKHv0kqI+Qu87X+q+mhOmlAvxI6AK0H2KCWlvDOq/um1Nb3VHBeFLXC+OrBDSI4oy5AYrfyLKGEyCHoow9SNvhMMm5UT8CChp8kxQglxL+wgljwQ14K2jFBfqR9PB3/YYanlmj4iyRA8rJkW7I8T2GCYP63ApUarFj4CS5rPcNmRjPcdnOs+PUkzvA2pHmUnYNkMj5DnLJyLKgp6ABox0mT1J/cGnuu3KRn5CNKT4EVCibLdhIkJP/EiGQy8qWnhPLkWj19QXjH4Lvq03tEDaWD4RUdrZdvM5kU8cyS1BGfKKYyZlWfwIKDnyWFCC3MrSqITx0KtceqI4bJPp/jE9fr7SfZqHzvi/CxHRUKRdUIbci58e2FrzJWwaQVkWPwJKSn/wVrctGVsN1/3qczmMUhyYAnkytmSiP/hi9zmelcVeIiog+818RTpete8C6qDnOWdKmRU/AkqI7TBMRuiLH8nIdAeUIc/iT4ZRAWFcEgeXe4LPcV/sPANNRCkkTwSlFO2U06OK5swcLiD6VvwIKAnyQDAOcjctI+OI2AazNRlbLqMckGeSWMupzuDT3FemY1qXiOgLvshtU7pesj6bl5RQZsWPgMauP/i0al8TniB5LSiBJ0aoyvSg2vrEvjXSJmhBgv8gEdHYyQ1BLUJX/Ei+iuqRoAR5nMkJXyq6+BHQmNk282nZ3i/ki93+YdJJVeWLXC8nuedengsakd1ZDCLKH5/utjeNg5Jtjt/3j2g04kdAYyN3BOMyf0en3BHU88o8qirUJb/aKQ8EtUhnpkJERaOnFM1pPQjdEzAeeoxNIyhr4kdAY9EXMBm2Iw+Jmk91PcUxlKqla/S34v6Y3BCUoEf5MBNRVH0B46Gn0zsW6TlFPXfsU9bEj4DGwDabz8j2br3/6Cn1qVy+pyrRK+qLKvW86QXFOOjZ9KYsRJR7tse8Ne1vVV/sti4P879UIPEjoNGSm/k6atkfUA+5k5dfh9LNNpj+W8HaRo8rStBrLJ+IKIbOgBrIzbS/UuWloAS5nfY4iT6LHwGNTk/ARNjuXM3W2D/mi9M+SUb5gEkVv1VM9ytqsnpzABFlmm3MzPvUdppPy0aoROEDa6fMsg3ms3M31nQGlCCvmWtShfUHjKvIYadv2HZDA+QpH2kiqp6BxZysjDz9AZNg+3I1F0x5Fj8CGjm9pihVfNY8CltjtoEDKFWWPBVMrkbtFD4E22Ro5owAEVWPL8/YISK5LqiBtHGcpCyIHwGNVHdAM3R/Ps9RyFNBGaE7fiSUY7pfbWP1EgtbY5iC0BH/Fyei3JO7gjLkbcbqEF/lvjx3u2kol+JHQCNk68zn5Xl88bmuB/JZGVJK+ALXq1V8xvqDL3Wf6ZwUIKJK89mexZtL5K2gFsneV05UEfEjoJHQS4oy5GXG5pNG9jteVYyv0n4qKibUInRV94f2Bp/nvtBTekklEeWCXlA0IPTEj2Q0wR9UtCD0xo+E6EfiR0DD1xXQBD2U/1kZtEAv5v/XpDjeBdTFKM67gre6r8jzojERxdQfMDHbF3P7DLe/srdoRsUSPwIaNlttvrAQiZceVp9ZiN+Uqk8vqS+J83RJu2ASsnWGm4iyQg9q1brgVIjcl7y2wqL8iB8BDY+eV9QUpltXb0AN5FExflmqLvvDIi7eyktBE2wryyciSlR3QH0ezgvZBvP5nDylFIsfAQ3Hu4CGbC/Ej5RtMf+VoyclDxMhL2KW5fJIUAfbxfKJiBJj2/LSR+p9QCP0VIESHsqY+BHQMPivHmuXUSzSJhgH6eDSEyWqP6AUf0+L3BaUC3F2kYiqQNoEJciDnLwx9bSiEeF9/EiIBhE/AvoZPa2og7TnZEwcPl/GM6OUMHksPjUV0xB6WVHi3CoRJcDWmK9MxciWFF/gtp4JAKVS/Ajoh+StoA56sogJltwX1IE9nSlBttdsS1rex3pKUcrD+QQiikgeCUp5Ow4tzwUlyL1c/VKUE/EjoB/ypYW+adtbXY8xs6TE+HyX6yl6GetBRRlyO0UhEVG2+AJPz5RQguxv8xnFzX8oveJHQEPTE4p6hI74kUT7BM4pJsU/nUK5gZrU7aG3nYY6dpUkotHQa4q61A1ryegLaIEe5PwppUz8CGgI0iaohZ4t+qiBRsgNppWUhI6A+jSW4rbVMB7yks85EY2MT3Xdn9s8Qa8oaiFvOTZSmsSPgIbgiz1nRz9Hx/aYL+DnQAnQC+pLU/os2TrDJKYIRDQCekIxAaE/fiSV48uZC1HKxI+ABqNHFI0InfEjie99QCnyhTyUD7bO0nxJmi93b/XQFT8SIsqA3oCm/G9OkTZBDfRazn9NypL4EdB35JWgBnqBI8UA+91sXQ4PwlKVYUK698X1BV/gPs9Db+xIiCj1bFdRWinofsUkNt2l1IgfAX3HF7itZanwmbwUlHJ6Fpaqpi8Vt+L+RHfwme5LPd+bcIhorN4F1BSoRadPc/uHeRGlQ/wI6Gv6r2I864Rv+QK33Rw3afTkofi0LMzRdgRMga3h005EQ7L15r9kYUBLiNwRlNK9cYCKI34E9AV5IShDr3C33nefzE1BY+oXDSjFbLfZn9koSOS1oBm2KRvRElGVDdwb+7xYhYStM19coHKR0it+BPQFn+v2OxOmwWFS/g/FUuX4XJebmUk15ImgHraDowERfcuXuv1RvMGhM6CeaQClQPwI6BPba5iA0B0/knTS4+rTOedEo4Ryxr5ccldQAz3ARIGIPpPbghqEjviRVJ8eVzRlbCSnHIofAX0I4UOQp4IS5Hpm5sUj6Auog9znR0QjJm8FDdnb86lXFSXocZZPRDTAZ7rtLN6i03+//ly3zcX99SkV4kdAH0L4EHyW20YOBz9hf1tq7zalNNNz6ssz+eToWUWJNxYQUQgfgp5TNKHI1xjIE0EJ8pCzqBRP/AjoQ7BdhomFHg2HqyNgHKSNgyaNjK217K7e6BFFGXKDjz1RsfUHtHAhOtif5rMzORdGORE/gsKTR4IS5BYTo2HxlW5buEBHI4NmyKsMf8Vsj6EW8iDDvwIRjZEeUJ/KmiGE3oBm6JGi15AUTfwICq4/eKvbVhYDwyWPBTVco6ORyMStuD9j2wyNhetKTEQD3gfUQa+yYAjhQ9ALijrIO46HFEP8CIrNthumIPTFjyRDfJbrIb4/aLjkvnhrHiZrbb2hhXtWiYrItprPz8M4lhT/xW0t550phvgRFJjcF4yD3GMmNDJ6STEh88sIVDW20+yvnLxifaX7NA+d8SMhoqqRN4IS5BGzhS8+k9eCMs87UAzxIyisvuBT3f7OSUpXZWjm1gUaLp/tcjsv79f+4Ivd53joiR0JEVWLr3JfzUWnb9luw1SE/viRULHEj6Co7E/z6c7v/OjoAfU5fJHQsKCMXFUaPcFnuy/m6EFUCPJQUOJm3cH0B0yB7eEcNFVX/AgKSe7wgoKx6QkoQ57yA6SfkHZBY+52eHYGn+a+ktMHRPnn89y2sTwYnNwUlCGvmQxQFcWPoIB6AybB/uFQOCa20Ww1P0P6CT2j/msOawxpE7TA1vMrQJRnekVRj9AdP5LUsjXmS3M4yFN6xY+geGyT+Qx+z8dKXgtKCO/iR0Jp5qtdT+bzaJw8FzQiN20wiOh7mAL9N58jWGLeBdRBL/JTomqJH0HByA1BCfKE68sJ8CVuO5g40o9gPORNbr9u8kBQC9vLbwFRDulRxUT2QhjGB3VY0cyLH6la4kdQKD0BLTzXmBi5K6jne4WG1puHW3F/7ON0jB7lnCtRvvQGNELP86s9LD7L7U8mV1QV8SMoEltvPpu79ZLkU3O7I4vGTu6Jz8z/N04vKMZBz/KLQJQftsN8Vv6Hr6QMdCPkph6qgvgRFIZeVZQhz/nFTvRTPa2YkvOFBRo122G2vRAzkXpcUYJeY/lElAfSIShD7jJhGAHbZD6P1SZVXvwICuJ9QDP0ADObpPUHNCA/N59SonymFyf50P2KGiZbRHlgv5svYxkwQt0BTdATTLSowuJHUAz2m/l8joOV+Wx3mi/mZ0uDQLlYp4dtu6GB954RZZs8E5QgL/hFHjE9q2hA6IofCeVZ/AgKQC8pypCXHAcrozOgBHnFj5e+Im8ETYXbz2mbDM28KZIow3yJ24ZCbDauyKe3yO13fnpUSfEjyL2ugCboYS4iV5CtNb5p6Bt6Sn1VERckbY1hCkJH/EiIaKTkpqAGoTN+JBklLwQl7l6mSoofQd75avdFRUzgqkmeCcq8eZ2+4itdTxdyzqI/+FL3mc5vBFHmeKvbbk4FjontMJ/OvIsqJn4EuabnFLV5vpozPXyu6/5CJso0BDRB2or61esNPs99oYe+2JEQ0bDpacV48Gs7Vn0BE8GUgColfgQ59i6gAXqM395q0GuK8YU73EJD6gkoF/t56Are6r6Ck69EGdEX0AzeWJgIvaaogbQXdfqMKip+BPnlK9x/YeJSPWiBXuRbh0L4EOSO8FpJaRdMgq3j/h+iDLB95tOKPmolyH/l5BFVRvwIckpPKeo451Hdz/yI+kwOlBTCh2B/m/3DmiHIS0ETbCs/CqJ06wqohVxnzpAYaRfUQK9wRpWSFj+CPJK3gjroKX5jq6s3oBbyiO8eCj7D5T6fhBA+BHkkqIPtYvlElF622Xwh5/4Spv8qJvL8GCUtfgR55Eu5UhyHbTV+8hQ+BJT4vvxMbgnK0EOczSFKI3klKEGecLoned7qtp0zR5So+BHkjh5XNPBylTikXTAO8pZvoEKT14LmYjeK+I5eUpS4GE6URr7CbS3z+4qQe4IS5DmzAkpO/AjyRd4IaqFnmaBE48vdtvE