Fragpipe v22.0 error with DIA-PASEF file

hcadre commented 3 months ago

Dear All,

Thank you very much first and foremost for your continuing work on this marvelous piece of software!

I took the chance to test drive the new FragPipe version v22.0 with a single phospho-enriched sample measured by DIA-PASEF using diaTracer for spectrum deconvolution and and DIA-NN for quantification. During the quantification step, however, Fragpipe stops and throws an error message:

Can you see any obvious mistake that I made? Log file attached.

Thank you for looking into that issue!

log_2024-06-03_11-20-31.txt

fcyu commented 3 months ago

Could you verify if Python and EasyPQP have been well configured in the "config" tab of FragPipe?

Thanks,

Fengchao

hcadre commented 3 months ago

Hi Fengchao,

Thank you very much for getting back to me so rapidly!

To me it appears that both components are properly installed and configured:

Best,

Hannes

On 6/3/2024 7:05 PM, Fengchao wrote:

Could you verify if Python and EasyPQP have been well configured in the "config" tab of FragPipe?

Thanks,

Fengchao

— Reply to this email directly, view it on GitHub https://github.com/Nesvilab/FragPipe/issues/1606#issuecomment-2145715924, or unsubscribe https://github.com/notifications/unsubscribe-auth/AD4XSS4C2BYRAXKI6QZIIULZFSO55AVCNFSM6AAAAABIW4YZ52VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNBVG4YTKOJSGQ. You are receiving this because you authored the thread.Message ID: @.***>

--------------SzchFZ52M0SJbPvZITloTeUs Content-Type: multipart/related; boundary="------------KqVGnsgZNd0clx7iGxk1EXnt"

--------------KqVGnsgZNd0clx7iGxk1EXnt Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: 8bit

<!DOCTYPE html>

Hi Fengchao,

Thank you very much for getting back to me so rapidly!

To me it appears that both components are properly installed and configured:

Best,

Hannes

On 6/3/2024 7:05 PM, Fengchao wrote:

Could you verify if Python and EasyPQP have been well configured in the "config" tab of FragPipe?

Thanks,

Fengchao

—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you authored the thread.

--------------KqVGnsgZNd0clx7iGxk1EXnt Content-Type: image/png; name="ceg1YcS9MW7aziAh.png" Content-Disposition: inline; filename="ceg1YcS9MW7aziAh.png" Content-ID: @.***> Content-Transfer-Encoding: base64

iVBORw0KGgoAAAANSUhEUgAAAhkAAAEVCAYAAABNMPdtAAAgAElEQVR4Xu2csaskR7anj/6C vrDadceSSLrbHNjyheAxWqNY1BoYR2W01XI0XsHjTasFAwVrPDkjZ98uBQsCqWWk0/NYxLA8 nox6MGarKSTWGFj3wdVfoI2IjMiKiIzMyqrKrMqo+hpmdG9VZsSJ70TG+cU5kfet+/v7X4R/ EIAABCAAAQhAYGACbyEyBiZKcxCAAAQgAAEIGAKIDCYCBCAAAQhAAAKjEEBkjIKVRiEAAQhA AAIQQGQwByAAAQhAAAIQGIUAImMUrDQKAQhAAAIQgAAigzkAAQhAAAIQgMAoBBAZo2ClUQhA AAIQgAAEziMytiuZLUTWm6UUMIcABCAAAQhA4CYI9BMZWiTMVrKtkcxlfb+WeRciX1ggMm5i MjFICEAAAhCAgE+gv8jwMxHlQu5WhWy6MhOIDGYaBCAAAQhA4KYJHCcypJTFXSnz+6VsZzPZ Lu9lbdIa+vOVFJu1yGImK5v6KJ4+Ffn+bZkXK1mVFe/52t4TZElshsQKlOT1N+0uBg8BCEAA AhDIh0AgMsrSKgDP/vlcqYeo3LFdzWRWzqtMhs5qqJ/vtcrwf44zGarcUjhhUWdCClnd6RRJ JThMu9ul3C+3pjzTvH53piNlaz7YsRQCEIAABCBw/QQaIuPjjz8ORv3zzz9XIsM/k1EsvVKJ y2ro7MWdlHMvQ6H1gxYi8ZkM97u+xV2jezX9bGW5UeIj/tz/XV364MGD6/cOI4QABCAAAQhk TCApMoyw8P/tObhZGnGhFYMuodgDoV1nMgYQGRkzx3QIQAACEIDATRAYRGS4TIdKQchmaV9S dVkJLTraMhk6Y9FWLtmTybgJ7zBICEAAAhCAQMYEhhEZ6uXWVfWHMMRpDM1EZzhUckPcwc/6 72QkzmtUZ0TDg5/J6zOGjekQgAAEIACBWyLQT2TsI9LnldZ9bfA9BCAAAQhAAAJXRWAQkVGd yXCvsV4VHwYDAQhAAAIQgMCRBAYRGUf2zW0QgAAEIAABCFwxAUTGFTuXoUEAAhCAAAQuSQCR cUn69A0BCEAAAhC4YgKIjCt2LkODAAQgAAEIXJIAIuOS9OkbAhCAAAQgcMUEEBlX7FyGBgEI QAACELgkAUTGJenTNwQgAAEIQOCKCSAyrti5DA0CEIAABCBwSQKIjEvSp28IQAACEIDAFRNA ZFyxcxkaBCAAAQhA4JIEEBmXpE/fEIAABCAAgSsmcLTI+O4v/3rFWBgaBCAAAQhAAAKnEjhJ ZHz4X//Lqf1zPwQgAAEIQAACV0oAkXGljmVYEIAABCAAgUsTQGRc2gP0DwEIQAACELhSAoiM K3Usw4IABCAAAQhcmsDZRcYPnz2W38rX8vqzR5ce+yj9ZzW+Hz6Tx78V+fr1Z9LmjUHH06O/ UZxCoxCAAAQgcBECg4iMx2+9JT945j/55hf55knLeF5+JG+9fCK/6At00Hn8Qn548k31u/33 8qO35KM3z+W1Dn7uGvvdo+ev5fWTl9V9QRdP5JtfvpG2bs9G1x9f3ekP8tnjx/JC7JjOZsye jvoE/eR4DhiA30ef/g5omkshAAEIQGDaBIYRGY8/2+2GrSh42Co0XspHb72UJ1oQmKDzRh6K +t/Xr8UkN8xn36ofPlRtPpIXb72Qh6/td6Lu/Ujkm+c/7N2BXw67Nz5nRGqclzNw13OvoJ8Y zyG2IzIOocW1EIAABK6KwPAiQ+OJA8vjb+XDWiiI6EzFyycq2/GwStc///BbtcuvSijmu4fP 5Y3SGZXIsILEx94WHO3nHz58IS9UtkRnNh6q8szjFy7n8UieOzuiDIk8SmdO0p/bdqSy3+9P Z1Lq8dm0iis5PH+jshkPVSZGq6nA1mpwLgOkr0/arEXWWx+p//eu1wzrrI7N5nS0XWePHE87 bpVqaekz9pcWhS/lpUVa2Vxlat48dxksbacWh1+L/FaN2V776NkzkX/5j5ZXOObQrh7jiB/D wJ/OzxWvNzr75Zi7uah9V3Pz5sVVPd4MBgIQgMBlCYwjMkww9LIVkcio6/y67GHOBFgx8fqh vNC/69hkzwq80aUTHVX9kkosEKoQLd/o+1XgaM2i1Kl/McFHqZCqrFOLFm1H2+ee2HHXmxja 7C88x6ADsBmMfPZGlYpePAzKQLWt2jb3nT8napsfRoFcX1QFUTcOI05UmekXnenx7arbbhtf dCYjKpEE/vJ9qa8z3auslH9PXBJz5z7iLFeLXfvHEZ8hibItDZH7Rp7/8lx+cH541HH9ZZ9H eocABCBwVQTGFxkpXH6QjsSE2RnbDEdwINEENKU2tNhoK5ekMhypjIUnYsyBx4Q9jc9TZ0Cc KIoPTraWCNwOXwkOmwWpx9gIjN6ZE51tiG327Xb9m7GqgBrbtW98ibMvdQani48ROa6ctQvc 6sMqUxUIOHu+xj9o2mVX1zhSvDvO6LjMkDnPU2c0Jnqm56qWFwYDAQjcOoFxRMbeWr/d3f/x Q/n27+3bDS5A1mc1Um892EDWJ7i74OjvvJ1dz9+o0oDNKPhBtO3zVIBPBfl6Nu2yF09e+mWI 6oL68GpbwE3ZPKbIMBkZr6TV8F/CX2YkvshwZZVvVJookfVxQmYskdH1lowVqIHI2PNWza0v DIwfAhCAwBAERhAZYQq/qrWHZzJMeNK73Zk6e/E/E2LC3+G+eCSv3ZsnbTtfRyIOjtHvZkf7 7YeqXBEdKA3KJd5B07YySlt/nkeqcxmv5eEL/6yCGXhVFumZTdnZ/EReBuceXJBvKZekgnk0 7rrtyJZdn7uyRNJfcYnHZo1UKmX3inKXeGzhG5RLkuNwbx3pMoh+oyiac8GT4TIs6qog6+KV xYZ4kmgDAhCAAAQaBIYRGcErrNEhuhaRYYLt/1C7+v/3sPl3GurgUwXW+tym+msO5uBmXGro CPrmdVh7UvLRE5W/f2P7c+UXd687+Nn2eZ+yi4+3dXx29196WRx9nyeI6nMoOuvh2xzZUJeW Wg5+Jksx3vj8tlv7dGNy4/nfL71Xh+PXhr3zJ94f3nA+cAc/95eIwoOf7dc7kWH5+SUT48/o DIp/hiTlz46/F8LaAQEIQAAChxMYRGQc3q3bhSfeHDmusdPuavtbECf9jYgTX/08bUQj3K3H 85lsHj2Rf24Lxm2HV0ewhiYhAAEIQGD6BC4oMnTl4LH8oFLrl/jjn36Gw7yZYv+QV9vnx7jy kuM7xt5997z8u/8kn/zfZ/J/fkr/hdD41d197fE9BCAAAQhcN4GLiozrRsvoIAABCEAAArdN AJFx2/5n9BCAAAQgAIHRCCAyRkNLwxCAAAQgAIHbJnCSyLhtdIweAhCAAAQgAIEuAkeLDLBC AAIQgAAEIAABRAZzAAIQgAAEIACBsxMgk3F25HQIAQhAAAIQuA0CiIzb8DOjhAAEIAABCJyd ACLj7MjpEAIQgAAEIHAbBBAZt+FnRgkBCEAAAhA4OwFExtmR0yEEIAABCEDgNgggMm7Dz4wS AhCAAAQgcHYCiIyzI6dDCEAAAhCAwG0QQGTchp8ZJQQgAAEIQODsBBAZZ0dOhxCAAAQgAIHb IIDIuA0/M0oIQAACEIDA2QkgMs6OnA4hAAEIQAACt0EAkXEbfmaUEIAABCAAgbMTuLzI2K5k thBZb5ZSnH34mXcIu8wdiPkQgAAErpvA6SJDB7rZSrY1p7ms79cy7+LmB8dcAuUYdk6WXSmL u4WUzofztdyvUx71r+vhd9XiYraVZS0oD73/uh9GRgcBCEDg2ggMIzL8TES5kLtVIZuuzESO ImMMz8fCZSrslB0LWUulK7ayqlJNsgxSTfrzmWyX99V1e2zfrmYyWykpWizt3Djs/jHw0yYE IAABCIxLYHiRoXerd6XM75ey9YOQ+XwlxWYtajsrOt7of8XTpyLfvy3zYiUru3Wer23gCnb6 dqdsA3PyesfK3Kd2zHVGxdmkMixBm4XaVavgKVXJpmqz6qdwQdEYqQKjNtuJqUPtMtcrJrov P1A3siMTYNeYbx674Lv487brvJuC8R5x/7jPAq1DAAIQgMDABAYXGWbHqgK1yWTo3a362aTa /Z/jTIYqtxROWNQ74kJWKmWvIr7ZKZt2t0u5X25NeaZ5fXimo1zcSTn3dtnGDiUUjACy5Rxn h9E9XpuRSCm1ulDqYGVExhF29RQZU2FXzbEq07DatpVBnGh0wqkt49ElMrToPOD+gSc/zUEA AhCAwLgEhhEZ/pmMOh2uDd/tVlV03wX9rnKJH/hd5sDEPJud0EE+/tz/3fHyRE2pMifbpc1Y BOdH9MUqiMZtGrv1mQQvwA5ll+/P+EzGVNgFcy4WE5FoOOQ8Tpy5OeZMyrjPA61DAAIQgMCA BIYRGakgb42sMgprlSpIZBB0tiMVeHR7+pZTRIbZieud8lxKd9iw7fBm66FOT2w4IXKyXVGQ niS7cIYFWaG2ydfKsOd4+9w/4MSnKQhAAAIQGJ/A6CKjykCsVLlhIxt3IMEvR7SJjK6yRCw+ WgK1Lj+stoVsdYbA9F2JBleCqfEmbFjosxnmHlsG+IMSK5/vKZe02dWzXNJw94XYbVWqSAvD yl1eJkOfXQnOujiLq9JKObc+jspNrZx3X4T3jz/v6QECEIAABM5AYHyR0fJ2gt4dq+RGffCz /jsZifMa1RnR8OBn8voYWCrYpUoU6yhrUpdLqgYLLZDm5e7veQRt9LDrWJFxKXa61KSdY/+F B3G9A7XedYZRSkTaNuq3S/w21Tssrp/g/jNMfLqAAAQgAIHxCZwuMvbZ2Oe1zH1t3Or3sLtV zzNuCEAAAldBYHSR0auefxUohx8E7IZnSosQgAAEIHA+AqOLjPMNhZ4gAAEIQAACEJgSAUTG lLyBLRCAAAQgAIErIoDIuCJnMhQIQAACEIDAlAggMqbkDWyBAAQgAAEIXBEBRMYVOZOhQAAC EIAABKZEAJExJW9gCwQgAAEIQOCKCCAyrsiZDAUCEIAABCAwJQKIjCl5A1sgAAEIQAACV0QA kXFFzmQoEIAABCAAgSkRQGRMyRvYAgEIQAACELgiAoiMK3ImQ4EABCAAAQhMiQAiY0rewBYI QAACEIDAFRFAZFyRMxkKBCAAAQhAYEoEEBlT8ga2QAACEIAABK6IACLjipzJUCAAAQhAAAJT IoDImJI3sAUCEIAABCBwRQQQGVfkTIYCAQhAAAIQmBIBRMaUvIEtEIAABCAAgSsigMi4Imcy FAhAAAIQgMCUCDRExpSMwxYIQAACEIAABPIlEIiMBw8e5DsSLIcABCAAAQhAYFIEApExKcsw BgIQgAAEIACBrAkgMrJ2H8ZDAAIQgAAEpksAkTFd32AZBCAAAQhAIGsCiIys3YfxEIAABCAA gekSQGRM1zdYBgEIQAACEMiaACIja/dhPAQgAAEIQGC6BBAZ0/UNlkEAAhCAAASyJoDIyNp9 GA8BCEAAAhCYLgFExnR9g2UQgAAEIACBrAkgMrJ2H8ZDAAIQgAAEpksAkTFd32AZBCAAAQhA IGsCiIys3YfxEIAABCAAgekSuLzI2K5kthBZb5ZSTInTVO2aEiNsgQAEIAABCHQQ6CcydMCd rWTrNTRf38t6vodtn0Dd55qhXBiNo1huZLNskTbOrrXIwomg2Fb/93OOYygetAMBCEAAAhAY kUB/keFnG2ywLvYJjT6Bt881gwAoZXG3kmKzkUpXqN/1mNqUUsquLpExiI00AgEIQAACELge AseJDD1+L+DKaiazlctzFLI0gXyrPp6J+1hnDdayaF4nulyyVaWSUkrThLtfd5FqN/q8WMpG l1qCLMWujZ2rtMgoZX6/liABY8bh9y9isjSFLePUmYy5lMF4vpJ5+bvd+J4+Ffn+bSVaqszH XN2/Kqve66xPnBFytl/PfGIkEIAABCAAgZpAIDLK0kZFD9B8rkJyMtvQErTLhdyVc7nXGYKu LIW7brlVpRgV/G2GwQgLdb8RDr6jguu3srRioTTpCCUAfAHR0m+5uJOFHuJ8XdnnxJLXv+h+ dJObQlb6v7XIsELGfGdtS5VL9PWqtFRneXR7q0KNR7VnGrZlpoSNKf7MVQhAAAIQgECuBBoi 4+OPPw7G8vPPP+8XGW079FR5wT/boXfyfhCvg74VEcl2q2CtZImK1zYrkTgzopTE7vvYO0ZI KLWhxYYWOb5w0GUUXVb5SgmXz48UGSkhkhpn0K/IgwcPcp1H2A0BCEAAAhBoEEiKDCMs/H9d 5xPMzn2XiQiyF/FOP3Vdm8jQO/+2do1tWgxYseGyDge9oWIzMY17RxIZWsyYjEYiC8LEhAAE IAABCFwhgSNFRhXgTerfnV2wwTMod5gMg5eV8Hbu9XWRyDCfb5eNDIN//UqVU9bm9KY+96Eb XcrW/LfjjRdtiw7yfplE3xKLHFfecJ/73/vj0ZMhNb6UaDLj1hkY7+Dp2Q68XuGsZUgQgAAE IJAFgf4iwy9zeIczTU7BnXVQPxfmDEdRn1tw3+mDn8vtrDoT4V+ng3JcQrGCJd2uK5fYdtxr qHsPVYYHUesDpvrgaTA2W2ZxIiASDf549Ouv9e/Rwc/kuQ1XpnFTg4OfWTwkGAkBCEAAAscR 6Ccyjms7j7sulVHwD8jmQQorIQABCEAAAgcRQGScUWT4mZnOg6kHuZCLIQABCEAAAtMkgMiY pl+wCgIQgAAEIJA9AURG9i5kABCAAAQgAIFpEkBkTNMvWAUBCEAAAhDIngAiI3sXMgAIQAAC EIDANAkgMqbpF6yCAAQgAAEIZE8AkZG9CxkABCAAAQhAYJoEEBnT9AtWQQACEIAABLIngMjI 3oUMAAIQgAAEIDBNAoiMafoFqyAAAQhAAALZE0BkZO9CBgABCEAAAhCYJgFExjT9glUQgAAE IACB7AkgMrJ3IQOAAAQgAAEITJMAImOafsEqCEAAAhCAQPYEEBnZu5ABQAACEIAABKZJAJEx Tb9gFQQgAAEIQCB7AtMWGduVzBYi681SiimhnqpdYzAqF3K3KEXma7lfz9t70ExmK9kWS9nE /urbxhj2n9Jml5/dmFT78/W9dKE5xYST7s19nl7S/qH6HqqdYybCufo+Vz/HMLjUPY7JWmQx ZAwbivVQ7fTge7rIcMHF66zXottnkH2u6THIXpdE4yiWG9ksW6RNagLFtvq/jz2OgQPedjWT 2WorhkGxmr7ISPEdgnlrG6Us7lZSbDbSNkV6zbmxL2qzfwg2Y9uu27+knX36HuqasVj2sW+I vi+xHvYZW59rhhh/qg1ERk1lGJHhKzUbrIt9u7s+E6DPNYNMkjhoqN/1mNq2p32C2tlsFykX d6KTDebfvozDobz6ZiGcSLtEJqOPPw4dd1eQM2PdyvJ+LR25nWN6HPaeM87BYQ23rV3S/j59 D3XNKPDOKNL6PH99WA3N4RJ9ujEgMkYUGdHiLHZXXPVYyNLs/rbq45mozXL1qdoxr2Vhds/B daLLJWpHLaWU5it3v97kVLvtsN3ocxfwXAAMbPBntBYZpczjoGEmit+/TY2r3b0p46xdKmwu ZTCer2Re/m43vqdPRb5/u75+ru5fWVFQZ30CGw2UquxgPle2te6ate0LKYu5CniaU5Nxow/d trZ9psobHoY6e+MLi3m5y2Qst1VJJHVPbH/l2GoMsVDxMi92AjRLLIcsOHsWuWAO7psTbX6o 7bG83e8NlnNZ63lkbap8bT/zxhTM3z02Jee6eTbUfAzaD22b/3Ep2//lrqk6N3Mhmr8HzUc3 hobQ8p6h1PPWsFfZpp6Z7dKVmhLZIc+vyXUkxaDzOXJzd7eOBNOs5d4pr2HJeeT7KLl+Vutv J3vVRqNts95deD0MxrZbg5tzuBljNmot261fzWdSN71vzPP1RgoVe3Tocetq1/O5ixFuLY/m YPI5jmOTWt/tR3ufaVeqjkROg49bA+r1WW2aVIyZl15cTW0YD1mX7bXDZzJMwy1BWwcXteCa 2n6XynTXmaC2C7DGmer+ZM1ft2uu3+0wS5OOUKHXFxAt/dbZAD8TEAd4Exz1GZFCVvq/5qGz Z0bidv3ffYerIF1neXR7q0KNR7VnGrYLbnxvh8jwSxtOqCXFguIQlEGCPL97IO3iu/XOYfgi I8jsRPfoh0ULEDsx3cLcKLlYoaJmdFWOsoKjszy1b2J3iQzto95zosMPvg1Bf1Vgd74zjLdL Oxc9X8f397YpOo8UPBt++3HgMCum8Uljvrl5a9gcOB+9cehnppzbOVs/26rN1PMW92WWCW89 8H+OA0nqjE/9vPsMQl/s1hjtV28TkVwD2u5t4T+FNSw5t73sWrR+BetnH/bxHFXP68pfiy6x HqZERnIO26Du1mcTkxLPqb+mRcLZxA9/zGZdrILxUv9s1u6O5zOIES1zMPVc1M/YEc90SmTs XQNszEyNXwW5U7O144uMrp1FPQF2C2K9S3Y7xMY1PhBvV22CWxUk1HJS7Sa1s1I7bP/7OID5 u24dEP3+zURVi9pXSrh8fqTIiMcTTEQ7YbsEWGBvd6DXGaAqy6HZuGzLjk2owHXD+0VG6z2R yAiyF55Q0Wc8dhkobzCnlHk6MxkHzAknHuMHNV5IUgLSv0cvznFbgd9cxqHnPE09Q04odNna Jnx9kXHKfPQCVbnQO2O1+Lp5EIxXjTPJY7cZURN1J1hSIuMYBpG49zNwah+6WyPcOpFiUWcT 47UmDmKXWMP0Bipa73zuKf/XwmEPe7d2xGvpVNbDaKdevxzQ9mx2snDQWp5LN+autvUGyzXj xy7/WfOvMde2PRe2oc51LYoVbetB1+fGHv85SIw/jo9H/D6OyAgebi/V3+mkxHUpQG4B9xV1 wxkerM7Fvo2YfQAb944kMrSY8VVxX5GRFFCeWDCJAn1eQ4sHnZ5WC5IN5nFWY3edVenujZKE QHBZh+CeA0XGSZmL2G19HkZ/0WybE21BeXCRkVjUumxKzfUxRUbv+ahFrj4AqwWsFlaJwJsS DJ7/qmyIHkxbudKK+T4M6szgngU49dh3CbK2tSZez/rY6HaL2t+DrWEtwWFPYO1kXzPqWksv uB6OIjL2PJep+KWnbpfffZERCLQOIdH1zOzbOLSUSxoizNq1VOv7Qmdegyz1sGJjBJHhpaX8 uo8CF6Tr3MPm1a8diPq6aCENUtGew/zrTf3blAL0AqgvqoJrXYpoW2B0kHeg2yawW8RSE8cf j+4jNb7WwKB3297bCl2Ll2d/qvzR+MwKESkK2SqpXZ2J2R0WrYK92DMy3ZkMXY7R2iN5TyQy tvYwqqlbqvvq12CdaEllk2KGvVVzs57vz5VF7zkRttNangse9I5ySWpRsXOjt03RotL2bFTz 3a+z2zno2xDP62PmY+QTbc9KnQMyZTLz3EVlhz0iw2Ua6/KZ337Lc9jOIJoHNbuoDJacVy2+ T61BrmR76TVM9d+cR94bT6m54wcUtzak3qRLtf0Hm8F1gewS62E8n1rnsDsD4crn/colDZ7+ mNtERkssql4ecCX1ljnYuaE88Jn2ylutz0jimdJr9apQcUALjsZa6bKTxx90H0ZkqN3MLhUZ Hqry33wo5vosRlH/3Qv3nQ5ay+2sfkOivk47yG/bO4iSbtelxquZWO+W7cMUpLOC3Wl4SKgu GzRSv+GhvuBMhl5ebWANd/qqtejgZzK113YY0tieOvgZlUrc27b1WF0azBtbcJDHqVVDSmmQ rRIh+8olut7uDiFF96TS5K4EEh/8jP3hfGUOZh05mVt97I+zx5zw/BDP1zo2JXeI7hmI5kic BTGNHGaTE2zGU+4ZihdXK178g7nukFjbLiaev8E5qb6Hc1PCMOWLlL2GhdsMJF4H9jj3ZtD5 HCVKHr7gaPF9sm/r18uuYS3rnR+IW9bP6pIO9qk5Ghyc1PdfYD30xxYE8XSpOViT9x78TDyX +h7dT5yl6zs3/Xl/0HNhBxrd0/pMVzvFuhTduk4khXs17u3yj+pQ69/Xh0zD+HnkuqyGcbrI 8B/Sa/u5U2WOONjUIbgRu6NpCHQSGHM+xiWOIV0xpt1D2nmptg5lz3p4KU9l3S8io8t9Z3yo gr910XUwNevphvG5EDjXfAzeUBkAzrnsHsDUizdxMHvWw4v7LEcDEBk5eg2bIQABCEAAAhkQ QGRk4CRMhAAEIAABCORIAJGRo9ewGQIQgAAEIJABAURGBk7CRAhAAAIQgECOBBAZOXoNmyEA AQhAAAIZEEBkZOAkTIQABCAAAQjkSACRkaPXsBkCEIAABCCQAQFERgZOwkQIQAACEIBAjgQQ GTl6DZshAAEIQAACGRBAZGTgJEyEAAQgAAEI5EgAkZGj17AZAhCAAAQgkAEBREYGTsJECEAA AhCAQI4EEBk5eg2bIQABCEAAAhkQQGRk4CRMhAAEIAABCORIAJGRo9ewGQIQgAAEIJABAURG Bk7CRAhAAAIQgECOBBAZOXoNmyEAAQhAAAIZEEBkZOAkTIQABCAAAQjkSACRkaPXsBkCEIAA BCCQAQFERgZOwkQIQAACEIBAjgQQGTl6DZshAAEIQAACGRBAZGTgJEyEAAQgAAEI5EgAkZGj 17AZAhCAAAQgkAEBREYGTsJECEAAAhCAQI4EGiIjx0FgMwQgAAEIQAAC0yMQiIwHDx5Mz0Is ggAEIAABCEAgSwKByMhyBBgNAQhAAAIQgMAkCSAyJukWjIIABCAAAQjkTwCRkb8PGQEEIAAB CEBgkgQQGZN0C0ZBAAIQgAAE8ieAyMjfh4wAAhCAAAQgMEkCiIxJugWjIAABCEAAAvkTQGTk 70NGAAEIQAACEJgkAUTGJN2CURCAAAQgAIH8CSAy8vchI4AABCAAAQhMkgAiY5JuwSgIQAAC EIBA/gQQGfn7kBFAAAIQgAAEJkkAkTFJt2AUBCAAAQhAIH8C+YqM7UpmC5H1ZilFHz8cen2f NrkGAhCAAAQgAIFWAv1Fhg7Ss5VsbVPFcjxjNAMAABEVSURBVCObZa/wvh//MQIgdU/XZ2uR xSGiZL/Vva/YrmYyWzlyIoOy622FutDncwzzQ/riWghAAAIQuHkCPUVGKYu7lRSbjVS6Qv2u A/Z6PgzAYwJeX5HhLDymjwFGZwRGOZdNnXHZympRynzdMwMzgA11ExdiMOQQaAsCEIAABPIh cIDIUIHxfi2BrDBBa6vKFaWUdqM+X9+L0R5B5qOQpS9Q7hbqjurffL2RQgVit9Evnj4V+f5t mRcrWangvFZ96u93mQDbliTKJXszGb6tYTt9+9tdt5TtbCbbpR2vFl6BELNirPGZNzlSjOy4 qn4cow6mwfUdvAolbpS9MWdTbgrsqNqYW5ZJO/KZ31gKAQhAAAIXJBCIjLJ0oX9n0XxeyYpy cSdqA65Vgdy7DIYJTkp8OAFRLkTpBxWk5lLeeaKkDv7q8yAw237iNL4qyxROrMRwdB9KfNwv t80zGftEhmdrnWFYqzJK3/7i65wtmof/s7O5M3OgRUmCUWyPbndVqExIIas+17fx0jYmyyW6 XeM0Iw4Nl+2y4uuPt7Zjl4FJzZcLzmW6hgAEIACBiRFoiIyPP/44MPHnn38OTTZCQqkNLTYa gd7u5r9SYuJ3u/Mbdj+uDmmqgKbjWXxYc99Zgeg8iDrUIBsdjOO29okM/3rT5lZlWBI29e3P ZC8qoaB+kHLushoJ8aROs9SZBGe/d8allZEbkxUfu5Md+g6Vdehrv8tYOAZ+u324JNg+ePBg YtMZcyAAAQhAYEoEkiKjISwaFtvg2ghwnsj4fI+Y8NvsEhlxtqQtOOr2hhAZh/SnutQZnlIJ Lp3maZSTUiWULvtTYzjmej+71MZ2AJExpYmMLRCAAAQgMD0C/USGDkg6Ze+XSfTuV8dWfxcc pPb1F9HO3u7md+cYvB2/zip4ZwHqbEckHIIyh9/3gSIjKAvEO3nv987+XJ8qI6FSIsm3bRoH P+vxhGWKemrEQuno66uyRtC/y94EnDvKJR1cpjeVsQgCEIAABKZGoJ/I8FP9ZgTeockg5W8P DXrBt07v6xJB45ChrrpUQsSd+XAHP/2SSn0eRPesz4hsi6bASfXplxO0IPJt9e2JxErv/gwL XQYxDdg3b5oubn2FtU9ZJs5ExGOIhZ7qPmm/LVElOQd2hAc/28Te1CYy9kAAAhCAwPQI9BQZ LYanyhPTG+O4FiUORI7bIa1DAAIQgAAE8iCAyDjRT9WZjLgsdGKj3A4BCEAAAhC4AgKniYwr AMAQIAABCEAAAhAYhwAiYxyutAoBCEAAAhC4eQKIjJufAgCAAAQgAAEIjEMAkTEOV1qFAAQg AAEI3DwBRMbNTwEAQAACEIAABMYhgMgYhyutQgACEIAABG6eACLj5qcAACAAAQhAAALjEEBk jMOVViEAAQhAAAI3TwCRcfNTAAAQgAAEIACBcQggMsbhSqsQgAAEIACBmyeAyLj5KQAACEAA AhCAwDgEEBnjcKVVCEAAAhCAwM0TQGTc/BQAAAQgAAEIQGAcAoiMcbjSKgQgAAEIQODmCSAy bn4KAAACEIAABCAwDgFExjhc21stF3K3KEXma7lfz9uv265kNlvJtljKZrOUwr+ybxvnHhv9 QQACEIAABDwCp4sMFwwDrIUsNxtZBpHxCO6Ntueyvl+LC83b1Uxmq23dcLHcyEZ3uue+vZa4 IK4unK/vpUsL7G1LXeDsNPYVq8uLDM1nIbKuxctWVtUHx/us0WYfMn2uKWVxtxAly7Q3Av+n 71bXz7Zq/kXCLHFxubiTxbYp4to+72Mt10AAAhCAwI7AMCIjCFgD4o0Dlw7+q8Ls7FVUlFk5 93b5VTDa6kA+L8Mg6t3XR/eYIFNFtf0Zh0OH2zcLMWomIxIVowmEQ+E0r9e+KOeV0DNiTYmC tgxQLTpT2Z+oad3uSsvVbeGJLZG2z08fCS1AAAIQuD0Co4qMMNOwy24En5uAMJdyNlMCwWUN tGBYSfGV+vxzf8etPy9lfq8+19/H2RIXLNcii0D4uPtUFsQEb9VGa6bF7pyLuQpBpZQqCFVZ GR2YZ6ITJ3V2wxcCuk9d3vDmUJ1Z8YWFEkB1uWS5rUoiqXtSGSIXPGOh4mVeTFM9gqz2wULW VeZH3a+DdzMLZMeuwrFOdMxVFmalhJ3OJhV+Fkn35zMPbLfZB+ubqg2n36y/W33i+U3f0kcM 9bimHnskRts+v71lgRFDAAIQGIbAMCIjCpTJIKcDoQpQ9yawqnS2LXuURg2o4O++11tW/1pP LBhxorMXDRHhYNigtClklbpPp9D3iAy/tLFWYViXY5JiQdkZlEGC2pATJDZIb71zGL7ICOow 0T06sHtnMkzmxtnil1ysUFFKqBYMWsTUNrfNE4/3LlvQEtStgCpc6cgwjHyoxl8xV/9VGSWl RMLsg7WzbsPPLvUVGUr0VSJzVzJrDG+PyAjElXet5luLrh5CZZjHj1YgAAEIXDeBYUSGF9AD XPFu3OywqyCkQkVUX98FEBVJqhS5CqbBTt/t0FuDgCcyfOHTY2df2d0d6AsT5JTtXvZltd2N Iz4jolIKVRakQ2S03hOJjKIlG6LPePjnUmr++w6W1gF7KVvFqlDKrcryhJkVcw4iEm1KBdpz Ep4P27JITpDEbfQK5LGoOFVk7LJRwTwtnspT+Sf5Jz+lpC/oPW+ue5FgdBCAAASOJTCeyIh3 p42g0gxU1Y5ab5vtbrVTTBxSLumJJxlkTbSpD7JW5zX07zo4K8Fhg3mc1dhd1y4ynEBwWYfg ngNFxt7MRQJBuVAlqrkqCqnxbKpDD9GBUHtTpx+sYHQiQrvPF51Diow+wqTPNY7FwePtOY+4 DAIQgAAEDIFxRYYXbPxSh6nrm/JC4gCi2knXqf+OgFG3V79FUIkWk6bXu3s/0PnO7iiXpMof jc+sEJGikK3a+bq3aNxh0SrY63Op+vxGdyZDl2P0AdPkPZHI2NrDqOY8iLqvPtfhyi+pNy+i skZjztvsyO4NGo+h/3Zt7Af1+yL24R/c+ZmOckksPtzvHT5pPfjZNraErX5pJ2CAyGAZhAAE IDAqgWFERiPFXgXXYrV7S6NQO+bqJL8rl1TjCnfgh731EJcaggOZB4uMqFTiXkOpsxuuNOCl 3IN0uv+qZaE0yFaJkH3lErXrr1/PjO5xIsN3vyuBxAc/ExkYw1UfbPTOTjRnUqL8ELcVH+o0 jfhjtT70D1EGbYQHP+vXZv0A3yEywr6i8kw0tuR8MCW33fkRRMao6wmNQwACEAgInC4yhgR6 4KumddeHpMiHtJe2IAABCEAAAhBoJTApkeGnxg/12e5vWwz0h8AONYDrIQABCEAAAhCYcCYD 50AAAhCAAAQgcDUEJpXJuBqqDAQCEIAABCAAgQHeLgEiBCAAAQhAAAIQSBAgk8G0gAAEIAAB CEBgFAKIjFGw0igEIAABCEAAAogM5gAEIAABCEAAAqMQQGSMgpVGIQABCEAAAhBAZDAHIAAB CEAAAhAYhQAiYxSsNAoBCEAAAhCAACKDOQABCEAAAhCAwCgEEBmjYKVRCEAAAhCAAAQQGcwB CEAAAhCAAARGIYDIGAUrjUIAAhCAAAQggMhgDkAAAhCAAAQgMAoBRMYoWGkUAhCAAAQgAAFE BnMAAhCAAAQgAIFRCCAyRsFKoxCAAAQgAAEInCQy/vKXv0AQAqMQeO+990Zpl0YhAAEIQOB8 BE4WGb/+9a/PZy093QSBv/71r4LIuAlXM0gIQODKCSAyrtzBOQ4PkZGj17AZAhCAQJMAIoNZ MTkCiIzJuQSDIAABCBxFAJFxFDZuGpMAImNMurQNAQhA4HwErldk/PiP8v4nIn/6k8gn+r/f /V7edVzdd/5n52O+62kqdlxi7B19IjIm5hDMgQAEIHAkgcuIDB1c3/9CfjRGfyBf/u1L9f8H /OsTnDtExo//+L588u//WeTf/sNlxUefcfjCqGbmPnxXPv3uO/l9rZ4OYOhfGvij6RPN6/0v Km/pf+9++p18pzvdc9+R1ggi41hy3AcBCEBgWgQuIzI0g0MCbMysz70dIuPVs/flx/lv5M// 7cIZjj7j8EVGnJEZai7Fdrx6Jr/64h35TmV6RAuMP//G/FxpmVfy7FfP5CctND54VWWL3Hfe fafoHkTGUI6lHQhAAAKXJTANkWGD3G/e+UK+eFUB+eDLv8mXKr0R7KLf/VQFuw/k1fvvi9tY 6131n+QTb6dtd/fSVi7RQfKVfPDdO/JFWxnFlFh+kndUQH1lN/DOnsbuXdtkSzKV/VVm5p1g 9+9lHOLdvxmTCuDB54kMRYcgCTMNu3vb2P30acW2EgxfyDv/PRZcltHfFGv9fZwtaRVw7r4D M1PRM4DIuOyiQO8QgAAEhiIwHZGhSgHvWGEhbkesg/f7P8mntpzy6tkzkS9VAOvKAOh7VaD/ 26c/ps9kxN+nzmqYfv8sv3HBVd+juzZB1/xQBWk/2Pr2x95xfX4pJgvQuP+7d+ULLXxc2Sg1 vkZpQnXiBIrfnz++FLvaFjWAFhZGnOjsReo8S53NaAq1+r4Tz7ogMoZ6vGkHAhCAwGUJTEdk +FmFOsjq4PtM7bejcxtxEE5lB1yAjALlq2e/klcfKJHwjs10tImMIMvRsuPfd7jUP0PhZTzq 8kIkUnanHkwuJzyr0iWsktmRFnYme1EJGvXDjkVsq8uuJEs0XjYodd+JcxqRcSJAbocABCAw EQITFxnhOYBabPgB1wRYL+sQB/5AZPyojhiYqCm/d+WUQ0TGP6gSy9fVWQVz5qBNZOyzad/9 qcnRJjLa+orOUPhCrRJaWmTY7EmrgLHiqne5ZJhZjcgYhiOtQAACELg0gWmLDCUQzBkH8/pE JBBcKSAKkI1Uvy8ygmubAdTc+9Onu1JL40Cjzg54ZxS6RIaXAdiVEcL7w8+9MsqhIiPVVxs7 g7J6u0e9mrJ7S6TlUGmzBFId/DQln1Q2aIAZjcgYACJNQAACEJgAgcuIjCC9r0REfAizUS6p SNWvTqqf9W5cbcTNZ5/+9L752VzzgTpr8NM7u7+P4YkM/abEJ+qYqHn90mUi2soEweuiXunC nM+wnVVGJc8uOPsCm7Ro8e6vbW0c/LTtxlmWlldY3/2iYhH25colTXaBYHOio+PNlfgV1uAQ 7AhvvCAyJrAyYAIEIACBAQhcRmQMYPgxTdTnMfb9UY6+r5b6hyiPMehS9xz7qmlfLieOC5Fx IkBuhwAEIDARAjckMg54vbIjmPoZiqP+kNgEHN9bbCVs3Y1/oD8ElugDkTGBSYIJEIAABAYg cEMiYwBaNHEWAoiMs2CmEwhAAAKjE0BkjI6YDg4lgMg4lBjXQwACEJgmAUTGNP1y01YhMm7a /QweAhC4IgKIjCty5rUMBZFxLZ5kHBCAwK0TOFlk3DpAxj8Ogffee2+chmkVAhCAAATORuAk kXE2K+kIAhCAAAQgAIHsCCAysnMZBkMAAhCAAATyIIDIyMNPWAkBCEAAAhDIjgAiIzuXYTAE IAABCEAgDwKIjDz8hJUQgAAEIACB7AggMrJzGQZDAAIQgAAE8iCAyMjDT1gJAQhAAAIQyI4A IiM7l2EwBCAAAQhAIA8CiIw8/ISVEIAABCAAgewIIDKycxkGQwACEIAABPIggMjIw09YCQEI QAACEMiOACIjO5dhMAQgAAEIQCAPAoiMPPyElRCAAAQgAIHsCCAysnMZBkMAAhCAAATyIIDI yMNPWAkBCEAAAhDIjgAiIzuXYTAEIAABCEAgDwINkZGH2VgJAQhAAAIQgMDUCQQi48GDB1O3 F/sgAAEIQAACEMiEQCAyMrEZMyEAAQhAAAIQyIDA/wfMuRzgGJxIegAAAABJRU5ErkJggg==

--------------KqVGnsgZNd0clx7iGxk1EXnt--

--------------SzchFZ52M0SJbPvZITloTeUs--

fcyu commented 3 months ago

Hi Hannes,

Then, could you double check if the "Spec Lib" tab was enabled/checked?

Thanks,

Fengchao

hcadre commented 3 months ago

Hi Fengchao, "Spec Lib" tab was checked / enabled. I guess it is not essential to also tick "Generate spectral library from search results" Best, Hannes

fcyu commented 3 months ago

Hi Hannes,

Is the problem resolved after you enabled the spec lib generation?

Thanks,

Fengchao

hcadre commented 3 months ago

Hi Fengchao,

Back in the lab I performed another test run with a DIA-PASEF file. Spec lib generation was enabled, however, this time SpecLibGen stopped with the error message: "module pandas has not attribute DataFrame" (see below). The corresponding log file is attached.

Best,

Hannes

On 6/10/2024 2:54 PM, Fengchao wrote:

Hi Hannes,

Is the problem resolved after you enabled the spec lib generation?

Thanks,

Fengchao

— Reply to this email directly, view it on GitHub https://github.com/Nesvilab/FragPipe/issues/1606#issuecomment-2158271032, or unsubscribe https://github.com/notifications/unsubscribe-auth/AD4XSS6GUBRYRLDHUSTEQ43ZGWOYRAVCNFSM6AAAAABIW4YZ52VHI2DSMVQWIX3LMV43OSLTON2WKQ3PNVWWK3TUHMZDCNJYGI3TCMBTGI. You are receiving this because you authored the thread.Message ID: @.***>

--------------osmUJLooDTHwGnisrTuwA7jT Content-Type: multipart/related; boundary="------------bMkbzSiBpQ0nrWDGIdbSh5ED"

--------------bMkbzSiBpQ0nrWDGIdbSh5ED Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: 8bit

<!DOCTYPE html>

Hi Fengchao,

Back in the lab I performed another test run with a DIA-PASEF file. Spec lib generation was enabled, however, this time SpecLibGen stopped with the error message: "module pandas has not attribute DataFrame" (see below). The corresponding log file is attached.

Best,

Hannes

On 6/10/2024 2:54 PM, Fengchao wrote:

Hi Hannes,

Is the problem resolved after you enabled the spec lib generation?

Thanks,

Fengchao

—
Reply to this email directly, view it on GitHub, or unsubscribe.
You are receiving this because you authored the thread.

--------------bMkbzSiBpQ0nrWDGIdbSh5ED Content-Type: image/png; name="Lo0sdQae0z7mOBg1.png" Content-Disposition: inline; filename="Lo0sdQae0z7mOBg1.png" Content-ID: @.***> Content-Transfer-Encoding: base64

iVBORw0KGgoAAAANSUhEUgAAArkAAADdCAYAAAC/pGrRAAAgAElEQVR4Xu29X2h8SXbneX6U 6aYLCgr84Ck3ZTD8BBIksz07bvcgPfhttsRoaETze2tIM+OWXprZn9qIWbMkTSGGZhB2iqFg kdoeOsEPA2IRg9VIs2/9kD+2d22PGQRKkGDARbmnHxYKCsp04eK350TcuDfuvRHn/s1UZv6+ v5fu0r1x45zPORFx7omTN559+umnryny7z/8Hz+h0f/2v+auPv6XCQ3/4q/oFf91+3f+gAa/ +FO6oD16/Uf/nB7/G1+7sNfk3/bv7NHk9/85Pf/l/0U7J9fp3+3Vr9N49G/p5W9QvJ2575d0 9pOf0NFffmLaHBz8Pp3/Y27E/6L9xRQyj4vLsvc3/542/kL6+ad089GQZj/6N3Qk/8l6vv79 f9xOllB/5nm/QYff/3fMzj7/hv6Udv+S+x29RyfMiv7l/06T927DPEX3mB3+Famsb3/y77mf hOXv/CO6+Mu/Yqb/gZnOgTU/8swxdDb5uvUVzQ4vqa2//Dc6/NF/5Z7+ii5ERfGXf8n+8r9Y f4n+Y799xn6b/cv7mfl7cs8222UafB776Y9uafOPhvRB8qCYfz7+5N+wDUS8PXr4o/+Jrn/0 7zw/I6PD/nv/I7NTHR1CrBM//iDggzk9fsnc/iOPY+MW7IOeDmKnw/94nfE8+LeJr/g0C7pX 8Az7xD/i8SBzieUiPpLdl80Vttcia5bftU3Gkx2vcmvAl9LxTKSNh/wY+6c8171H5+K7ZP0s aCN1rlPa8VNbzWeJb+6k8674bmajTAcZC/+E6C/YlpXzWYWc6dzT5JmKv4R8d57zhGYjde6p ml/ia5Uy+ShzVgd/yY1bO67H/2pI6tyq6L55w3PWL/bo5r3/GpyX4mMl7tf0X6rWW23eDbO+ VedWfQ1XVghcWmECz5oGuSusK0QHgfkS4OBu56//CU1dgNWqN1nY/kcSTLV6wNM06kX3BqIv uD8JQDd++p59QTNBbhsbtW3XgEsvty5AzgXbrxcsC3/IAuwwB53yY2UOHeCRINCAAILcBrBw KwjMm4Cf5cwy7PPuFc8PE/AzxFk2ua2N2rZbtHVWRc5Fc1l0f6tlh/BYWTQz9AcCRQLrF+QG t6IStd0WGPygHwJg3Q/HOk8B6zqU1u8e2H21bQr7rbb9IP3KE1i/IHflTQIFQAAEQAAEQAAE QAAEuhJAkNuVINqDAAiAAAiAAAiAAAgsHQEEuUtnEggEAiAAAiAAAiAAAiDQlQCC3K4E0R4E QAAEQAAEQAAEQGDpCCDIXTqTQCAQAAEQAAEQAAEQAIGuBBDkdiWI9iAAAiAAAiAAAiAAAktH oGGQe0uHz3btqUT+v4Mben2enPP0eEY7G/c0en2envwkt94ePqNd0/CAbgrX2lKpfGZElrb9 LV27GvpZRs2Zt223dIwgEAiAAAiAAAiAwBtJoGGQa8JVOjwkOndBbem/dY5nO4e0Oc0HwF3J 9/pMCRxPN2ma6tdVuqdv35ZP23ZPrzEkAAEQAAEQAAEQeNMJdAhyiQ53ZnQ+fZkyrMys8p2h wOnx9pCGnOZ9JU/a5qzjhIPg5/VNE3qmKssjB+pDzkhLh9zfNv/PSAJvluOZTTen/7bHDzR9 qQtztvOMjiRDPbjjrKl5KB2MJ3SetDPXX23TeDygyyPRk6/fTMnE0dznzgn/zTTjv4/s31P5 t8f0mhlH/zuQGX88Y56mH1HvhgZ3V7SfvFhorLV29a2BO0EABEAABEAABEDg6Qm0C3JdyUIS gBXV0DKApWuSOR0STSYv6bnEkiYAndExB3Z149xG/Zm4coeu9jkIDUXSrTK5toyDbh7sMx8f 6Wy4Qfej1zaQNX0+oxMa0+j4ZRbAB/oS2WbHU5L42P//JoNeeKmQ55Z0N0HzVspTgtoNEU1K RDTWWrun91NIAAIgAAIgAAIgAAKNCLQLck25QjmT63puFHQGsqeSCR0/2ECvzr9G/dmIk3Zc 5riQdaW2QW4xAJU+ZsdpFjgfsCZaFe6Rvz6e7dDpZpLl9WTJ/d2DUtQ9dF96j8J679rrN3k+ yhXqeB/uAQEQAAEQAAEQWEYCHYLcJEUZ0KpR0FnMLrag1Ki/4vMlc7zB2/nux3BOHinDuD3j MopLelEZcNfJ5GYZ2lSEikyu3Gd1O6bZzintcclBMe7vlMn1WSCT28Lz0AQEQAAEQAAEQGBZ CTQMcgtfVyh9VeHI1tWm/5KMLMkXFyLXZHffr8nlttsHY5qcV5QrmC8LtOlPtv2vuJcLW5Nb zOQSlxocDunI1dbeRMoacnraZ+6HanJDcvrcilllV6vrni/XRdytLCtsss0az1JNrnwRw9b2 aqzLNblZu2V1YMgFAiAAAiAAAiAAAiECDYNcQAwTCNfLghYIgAAIgAAIgAAIgMDTEECQ2wN3 +/UE+6CDm+zHZj08Go8AARAAARAAARAAARBoQQBBbgtoaAICIAACIAACIAACILDcBBDkLrd9 IB0IgAAIgAAIgAAIgEALAghyW0BDExAAARAAARAAARAAgeUmgCB3ue0D6UAABEAABEAABEAA BFoQQJDbAhqagAAIgAAIgAAIgAAILDcBBLnLbR9IBwIgAAIgAAIgAAIg0IIAgtwW0NAEBEAA BEAABEAABEBguQk0CnIfz3Zow30Q1tPrKb4Na75Nm5zi1R/i5EQ3/0SyFg+/PQwc4dviOWjS L4Hbw2e0eyHPPKAbd4xz0oV2TZOibbvWmgWOgm79LDQEARAAARAAgTUm0DjIPd2c0vkH2Qlf Evjavy2a0pxOGesaRHRtXxfjovqpK0+b+55Ih7OdQ9qcnlPIZbVrmopt2wWfWcEFL1FtnA1t QAAEQAAE3jQCjYLcDE44wLQnf23TeDygy6MLekXbfAJYEgDfntHOyRG9kpPBtjmTNuEg43ny xEd+3nCXLsypYdzmgP9n37Z7vD2kIaff7CW/nZVhf3DJ2TnzUDoYT+j8ZfLQlv2RCzD2r+iZ SfuxPg9Tco+tcpB80J9khre3aZsVf7U9pvHgiBgNc3lg/VhW1m/nhPUzKrAOI++FwefCum/z LSMJzriNlS37tz1+oGkNITUbxVlzPy1sZDP/rCvb86Joow46aLKQZvcE18KC3Lo+2NS2WhCc cK3rD1X+jOsgAAIgAAIgsKoEeg1yBYJs355wGcHo+GUWxMqFx0d6fP6cJAR9POPAlY6ToOyR g9VT2k+D3kc629mg+xEfj/ucA+Mh0WTykrhpEmjN6HjK/00SQJ4QR8s2WKRH7ntIV0lw3Ko/ Se0lAcSEg9zh1T5NONJ2sXgdI5eybPK8jXsaPZwTnTKbLQ5G965p53STpscz+79eGtxvL/// at/pV+i9QxY0aCN5XpR1Wxs5f7ixOiZ9TNl+5l8rHRRZjP1ifpbxW1iQq8jSzbZz2sWo4+C4 BwRAAARAAARWhMAcgtxwPaoJbE121/5LM001slJ5li6zGljoJSs6s8Fzq/5c4LVxyQIOaMJZ 0yYBrg3yC/p7+qXXiANKCW45kHbyOh1zmWDRx2Wxi5nqVgGi7SW43R3IrKZZbCdvqCZFa2cS 1T6Pgs3a6FDRJmp3z4kWFeSqsnSyLYLcFZlfISYIgAAIgMATElhMkGsyePdp0CiB3JAmkUyu R6OYXcyBKmRyOWt2NvQzwC36c0GuybISHZ5y1vhcssb1/5VqlLUgtyKTm+tVygU2rmjf/WDK sZGsKG+LD3cv6UXNsopgkKuyLmZP69qoRpAr2eNGOlTJErN7JvNCglzV5wv+1NS2bV4O6rsw 7gQBEAABEACBtSDQOMjNfk1u9U+/rGC25bnm1sfifaVAAqu0dvZgwDWaF7m2h8OjpCaXH8A1 imMuX5AS01ydqLk05hKCl/Qov5S/G9NNpCa3XX/e1xXSmlxPxzomzwUgHJA92yD7g/4buqFd ZsB1xQ9bdCLFqlJHu3maz9a6GmYpx9i54oYXWa2yX3PM5RlnXJ5x5Gpd07INRcgKG8VYmyCf 2za1EdedJF/jsF8zmJmabcvitckKt9ChQpao3aX0peifrt5aMtWxa9obToinV8Md98FutlV/ eIaa3DqjFPeAAAiAAAi8AQQaB7lvAJPOKuLX750R4gExAsjiwjdAAARAAARAoBYBBLm1MOEm EAABEAABEAABEACBVSKAIHeVrAVZQQAEQAAEQAAEQAAEahFAkFsLE24CARAAARAAARAAARBY JQIIclfJWpAVBEAABEAABEAABECgFgEEubUw4SYQAAEQAAEQAAEQAIFVIoAgd5WsBVlBAARA AARAAARAAARqEUCQWwsTbgIBEAABEAABEAABEFglAghyV8lakBUEQAAEQAAEQAAEQKAWgQUF uclJYkWRvBPR5EStnY17Grlja5N7sxPW7KlZck5W139y9K49cGxE9xu7dOHkSE6Lyp6/zYdz Tej8g4qDfflY1p3hzBxPm7vTnYi1PabXcnSt+edYJPrIka5DlkFOAuOT3g7ojrYmUz7trQaz riDm3T7GJcehIITvE/OWr/j8iA/ORQz2tZ3dC3NC4DbrPOET4FLf0a6pwtgT5C7FmdjnRuxz ZryodpiLdtRq3D6BnJr2lToE/OVMTvUjf7x7PSyZfvOx/Go8tXfbzknt6FrVob82unfoTp+x 0lMx5bZtXpNl7UuaFNbGm6m//kfmuq6CLnIN6CqrRBNy8qucolojNqq0ew/yLOMjFhTkJsHd IdG5Oc419N86nrOdQ9rMOXkHnCaYJXaMYz5qdoMuX/DxusnIkknldHPKga2JDvhk2iFx9JoN vEi3+XbeTRKwnNzRYGSfmU1a9plnOzvZ8x+5v6HfHwe6HZh1INRb0yiXoA8U9e1NjCV7EB/3 vHNK+3x0tbw/3bLPXXk+F7+mqyGsr/ecr+ZZqnaY4ylqTcet7i9PY8ZmOsiRzTM6T19q8zIv o35PQ3U5eu3TtnPRSFmruvbXTPeuvYXba+Mhd3KorKNX+zRN4gdtrpuPpN2fent2SFf3+3Ts JzS6P5ZjiGaxUbP77cvE/daIzl/2kWLsQeGGj3iCIJdKi0CdN4yQYR7Z8YdJNkyyoDdJ0FDJ QBZ1jiWnvBBJ5uV+9DoJam0QmgW5/KTC4JL/fsZ9bo+zwDgN2neu6JgD8Vw2V9rPtmhwSXxt k04PZ7RPlzQ79oLc0YReBrPFLlApMzMZo1f85jse0OWRZAQl65wE57es38kRvUqywz6XRx5o Q3O/ZBAPaHBxkWay1WsKa1UWyVyHuOSC3PnrN77b5Qwb+8jgjt98jfZ0MOYsffJyE/NBm5mL t2vtg56TahN9k6AoP0aKwVbEDqXdC0kCe75tXtLYXwwyZpa8rFnzKdcS/YITaiFDs833jtIX WMVfIu1mXWzkP1N84oCF2XcvuVaJkA7xOcty3+cBH/Izs5MTGQ9txp97aRa5LwJ+rc6Fmu4R 2/bWH8/Xzu7ztp/GoF/bhnvS55DCzp4bj273T1mrKte5ihua6F5l97bzoB7kmgxPshvFa9rp Zhrk6nNdOzKxMV2le1VvNrjdouNj3uk1wUFic55Pt3lifcW2Hg+OiJdlXsMf7M6xMrfm54kb Gtxd8ZR1zouol9UN7iLH57NK+0kC7vSUg939lQt2FxvkcvqU7Wi2UrPt+8xFtDeM0rVk8E8m ieOYCXvGgWShZKDKAwvXS4OuQZZL2g5pkmaF00Bgdsx/HdKQA13J6O5f7aRBrmwlp+UKJlD1 yyO8koUAMxmUJ7w1OuLBk4uR2SEfeTTJeDIDgo6tTAVmkkHcvXxhbdHgmpU5zzoqi5EhwMUF uYpP9KpfMrGQm0RM1nwj94ITDmisDYLtntuXpaAPukkm51+F7TgXKHoZitztxResRouWyM2T n7eNFbVDzMcDf0+zK5RfdKwqnl8nsoYXUs5c78fLgGJyyvPD7VraiHdq/Ky53bmp4xPanCWy nLC/OP0emcuQ5c4C56B+HcafHSc3NgDwgiLdXRTdxa+9gKJo23b9Wf94Cvs1DXLd/WXfrbZt uC/FPyU5ZhIhyRwdGUcNl7Fatzdab41cET/rsBbbAFLeoE1gkEs8iC8f8qLJ+6A0GPC757Hd +SrP0+W5rhaAyE2x4L/xGDPr5ElSfljozJVFPHBwespctzixsHdtx93xLD7+HiWxsJWuORKc csVlWq5QJ/jvFEslNrEllV0oL67tYoNc+2IW3c5rNOgCGahSTU8LjpWZXPWZycLhl1UUJrBY MGAey4HX4ZC3sf2slsIsFFSYx3jZWjN1uMxcSRYv21dxTbLX+X/5gC0mi20T4GL+Hs9Ua5xa 6WcyaIVt5IBtggtbrN3mqcnqa1w0dxE9TvkFxGWT/Xu1a7FnVk9wETvEgtwAn3R8UH5htn5X 2AXhvwXHtFdzXFrYNH+JtlNsq9koEKiH2Daal2r5WZ15Ij82NT/Ljz29XCLVT3t51+zOQVmr /uyATuvQ83afr/20Mdi/bUO9Vc89qRwNkiqaXnWuNdNdsXuPa7EvU06+Apfqua4OgfA9sRdz t/tqd2PiJUnFp5YzuWayTAPZUuJg/yr30uPPrcczfY6tw6WkXx37IZNbx6HyNYKdF5Pi22Md EWrcU1yo9eAt8MDiAqEFubLIyo/t+G0u+oaaq8nN9xeUzXC55zJiWzaRyxo1yBZpWd7gNB7I 4uXuC3DIgtxwrU+v+i0ik1vDv+wtUud0yvUr5/ZtOMdGu6Z3IIHx9V7yzAaBa5rFl4w+l7oM dy/phfwARMvWdsjk5rSQbMdGPuNsrgf9xWuZa9cgk5vvvJDJrb/ouTsrs32RHYOSfg3GZmkR zY29ugtwMZPrs63K5PoZ+7r9FaReoP20UdMs0CtkcmO2LXVYkcn1/H10P8x2+WrPJ+1ubKa7 EuS2XovFdzjT6cr1TOYzK/k74x+k7HFWzCQMJYPIWU73m55ac107LJHypO4+n6vJ1YLcTplc 9xsf3kE6G2Y7tR6LykxuYY5ETW4tR/K23eX+0lcVuH4095wkS2iCwMg12X3360S5/fbBmH+l 3qFcofRGE/i6QrQm1ykgW56n9kdy/pZ1orOtXzUQeAd8i05O77mmhutizd+8utr0KwzJc6uY edclOEzrAQ8GXKt3wcht3XGp7u9uK/2RjHotxjq0LR/8QoLHxUYxpgwgzYPOXT+ZUDmYCtXk qqUFSjuZe9v4YKC/NNuuXXMuFvVBu91u/IvLWx6CpTtFO5gVxPy44MjVdPolM8Xsm6v7dguz q4n3fbcGT64gzXzeq43OpoGAv7D9wu062Mhsvx0lsphJhMZc228C/Njco1zb5K3H3bsx137H anID80Typzbjjw2ebPfaX1ib+laxf52vlMR0dy9eAdtm28tN+7M2Wpj9tK1UzT+72jY4NnX/ dB4ha8PlICk7qbWuZr+uf2Db19o9bqn73rXuZ63mQTP1+OPPX//M5Jr78lDp6wrKXOe+OtAH lyrda5rKu41fMJ9t2LWPx+kN7dovJEg8YD/7RFPegXJf38nHBcU1XGpyZR21JaDZHCKlHy+I jnhuk7lAAudFxlLNocytxQLLFeamw/I9uGEt5VMpYOp5uL4nVB+tXWst74K55HVomXFquDXV ms0iGy7YDq1Vqy1nW9u2lqyfhop+cxl//Ug9h6esqP1qk6inn5ZZDXflMsTZD6dri7TWN4LL Wpu3oXIIchsCW/3b/Qxq8YdQ2rVV0TysQ5ZBl5fn+otC23arQmsd5FwfG63D+GvuUetjv7Du Vfplv+q3mb3X6Wc2K1hK1jiSpGhuhTVqAS5rZMzuqiDI7c4QTwABEACB5SIQ3JZORIx83aaT AovuTxN2mWTpBBWNQQAEuhJAkNuVINqDAAiAAAiAAAiAAAgsHQEEuUtnEggEAiAAAiAAAiAA AiDQlQCC3K4E0R4EQAAEQAAEQAAEQGDpCCDIXTqTQCAQAAEQAAEQAAEQAIGuBBDkdiWI9iAA AiAAAiAAAiAAAktHAEHu0pkEAoEACIAACIAACIAACHQlsN5BrvmUDB+by6fBhA+O1fGVjpVd 4LniXQ2L9iAAAiAAAiAAAiDwJhNY7yC3i2UjAW0p8O3SB9qCAAiAAAiAAAiAAAjMhcASB7nJ 6T/b27T96hW94g+YjwdHdMQHPh/cPND5B3xS9y1nak+OiC+bM+dv+Mx5+bP8y06RsWesu0yu PXudn3HAp6hfmIZ8xvOEzl/mT/6W+043p9xPgTuyuXNxRDwUBEAABEAABEAABPoksMRBLqvp yg0ezolOn9HJ1gNN965p53STphJ9Pj7S4/PnJOHp49khDemYpoVgNXQeuATAJ3STPIMD5SHR dPoyxzWesa13DnmfRsKzQAAEQAAEQAAEQAAEmhFY/iA3CWjToJM4KE3+ZgJbTu1KPlb+bY85 CK4V5O7Q7HhK9tZw0Iogt5kj4W4QAAEQAAEQAAEQWCYCqxvkHs84A3tPk+l5ksnd4UzupLcg F+UKy+SmkAUEQAAEQAAEQAAEmhFY4iD3kQ6fbRCX4EoRLhcX7NLuBdfXPmzRiRTVctZ2dD/k vyV1tQcDrrG94Ftf0/lz+aoC1+rmWGxzkyntXUtNrlyxtbqznWdk//OGXvsFuPjhWTNPwt0g AAIgAAIgAAIgsEQEljjIfXpK+ITY09sAEoAACIAACIAACIBAGwIIcttQQxsQAAEQAAEQAAEQ AIGlJoAgd6nNA+FAAARAAARAAARAAATaEECQ24Ya2oAACIAACIAACIAACCw1AQS5S20eCAcC IAACIAACIAACINCGAILcNtTQBgRAAARAAARAAARAYKkJIMhdavNAOBAAARAAARAAARAAgTYE EOS2oYY2IAACIAACIAACIAACS00AQe5SmwfCgQAIgAAIgAAIgAAItCGwoCD3lk8v27Wnl/n/ /FPG5ISxjXsa8SlkH3j33B4+41PN5A/2hDL/WhuFpY0c2WsPTRvR/QbL5eS4PaRntrPk3zYf hDah8w+e61093vIRwzM+YvilOWI4/Wd04pPXtsf0mq/Zf45Fog+3PRyyDObgtgPW8o62JlN6 +bwGs7YAFtUuxiXHQfGJRcnp+on44FzEYF/bYV+zZr+hCZ+2l/qOdk0V5pHODod0Kc7EPjdi nzPjRbXDXLSjVuP2CeTUtK/UIeAvZ3KCIvnj3Z8PIvPEfEyApyoEerftnGhH16oO/bXRvUN3 tZpaPQeFNZ7XwJ1sbbyZ8PqfTJL2fnemqT3N9GXFMl1TkGAcUqtt3zctcj3qW/Ylet6Cgtwk uDskOk+PzmUHzv23TuVs55A2p/0EubwCczBLPKCO+VjfDbp88UDTZITI4DndnHJga6IDOtsZ EkevlQMo387TRQKWkzsajOwzs0nLPvNsZyd7/iP3N/T7KzJqxmwZ/CzKxQW6HXxiGfRrJwMf Wb1zSvvJpH3LPnfl+Vz8mt6bsL7ec76a9xXVDpEjrNvplm/VdNzq/tKHRM2f0UwHWZhndJ6+ 1Ob7W0b9mhNZnxZ92nYuVJS1qmt/zXTv2pv6xkE7V/v04u4qt8bLiaNX+1mS6fb2lj74wKa5 MI7maI81e/QTBLlUWgQq3ywZemhAPvIEMEyyYZIF9d/0VDvJos6x5JQXIsm83I9eJ0FtYPBI kMoDcOqC8yTbuz3OAmPblyxuV3TMgXjuhVLaz7ZocEl8bZNOD2e0T5c0O/aC3NGEXgazxS5Q KTMzGaNX/AY7HtDlkWQEJeucBOe3rN8JZ5CT7HD+DZiZmfslg3hAg4uLNJP9eKZcU1irssS4 5ILc+es3vtvlDBv7yOCOdwaM9nQw5gk0ebmJ+aDNzMXbtfZBz0G1CbvJZJ4fI8VgK+6f+d0L SQJ7vm1e0thfDDJmlrysWfMp1xL9ggtpYfdim+8dpS+wETnNypbf9XDtZl1s5D9TfOKA+9l3 L7lWiZAO8TnLct/nAR/ys+g8YRbu5uPPvTSL3BcBv9bnQY9nUfeIbXvrj+frRdlPY9CvbcM9 6XNIYWfP7Sa63T9lreoaizTRvcru7edBO973efzPComsXJBrxqm9T8LcJvNiXU6xMV2le/j5 iV15ztzmyVN2c8eDI+Kll9fpB7s7rKzT/cpSl8B63rfYINeVLOS27zOw2ptl6Voy+CcTLhGQ qNIMghkHkoWSgYZ2Kw2eBlkuaTukSZoVTgOB2TH/dUhDDnQlo7t/tZMGubmF2wSqfnmEV7IQ YCYD4YS3RkfHvC3tR9acEX5kKAaLLJx0bGUqMJMM4u7lC1tK0eBaiHVUlmRCKnFxQa7iE73q l5SJkJtgTNZ8I/eCEw5orA2C7Z7bl6WgD7pSlZz/BbbVii9R/v3atYBfl4LcZ7woeCU+Qf80 wSPrcbqZvci5Zwf+LguPeUGjcpv0mueL4YU0n6EpqhKTs5jZydq1tBHv1PhZc7tzU8cntDlL ZDlhf3Hj+JHfBYackcoC56B+HcafHSc31n5eUKRPfYru4tcFf/Bt264/eSeK2X2+9msa5Lr7 y75bbVst4InOPSYRkszR/IDQOGq4jNW6vdF6a+SK+FmHtdj6hB0bQd5euUJWyud2RLNyBT9h UUt55aZY8N94jLlyg4dzolNmt8XJg73rbGzF1mlPtt5k6QplhdsvNsg1W9PlrF18UlEWk1L9 rNzbvTanFOQ2CjSShcMvqyhMYCJldBJjpz8c8ja2n9VSmMWe42eEDBWXmSvJ4mX7Kq4Vs31F 1vrEHODigtxF6WcyyoVt5IBtwhNtpN3maaGGu5kPip1O+QXEZZP9eUS7Fptv9EyuiWZtUFcs +4kFuQE+6fig/MJsnp4r9bFSBhdSr+a4mFG3rSJyRtspttVsFAjUQ2ybBQN1/KzOPJEfm9r4 y489vVwi1U97edfszsFIq/7sxJfWoeftPl/7aetz/7YN9VbtE6kcDZIqXeOOZrordm+9FtuX yrS0VhTyf6dTULCpvG35xF7M3e6r3Y2Jl7ZtGnQAACAASURBVCSFxlgoORBdpz3Be5OlLYw1 aPcEQW78p2ONnLj49tiTMYoLdeO36uICoQW5ssjKj+34Tc9lYkuBilK3HJTNcLnnMmJbNpHL GjXIFmlZ3uA07jJ8seL/AAczWSxKv0Vkcmv7oPxA7JTrV85trXeOjXZN70Amzeu95JkNAtc0 iy8Zfd5CG+5e0gv5IYeWre2Qyc1pITswG/mMs7ke9BevZa5dg0xgvvNCJjfMt9G8ZPzMy+RG dgxK+jUYm0Up2wWdxUyuz7Yqk+vtRNVd8ItCL9B+vQa5dWxb6lDxT7ccJv4+uh9mu3y155N2 NzbzayXI7Wkt1uQx69j9KNltkiDzhLZcmV9SylAqFWyHJVKe1MLnvTm4FOQez+LrNILclpYL N1tQkOttuxff1rRtXRMEcm1pTvYsW5urA+J7tg/G/Cv1DuUKpTfSwNcVojW5Tkh5Oz21BfS+ bskbqq1fNRB492qLTk7vaXDHdbHmb15dbfoVhuS5pS9RFLh412VApfWABwOu1bvgF2Rbd1yq +7vbSn8ko17za3J91iH7Bd/GPS42isl/cWPu+iW1X6GaXLW0QGnHWrTywUB/abZdu+ZcLOqD XmaEy1segqU7RTvIQ+1XGY5cTadfMlPMvrm6b2PCQmbOXavBkytIM5/3aqOzoR7wF67dC7fr YCOW9XB4lMhiHJvG/INAE+DH5h7l2iZvS+7ejbn2O1aTG5gnkj+1GX882SS/MrdfazH1yTKX KBmxlHFMd/fi5X7v4M1L2a/am/ZnbbQw+2m/tG+55tSybXBs6v7p7CFrw+UgKTupuczb2s0D emDb1/q4QEvd9651P2s1D6Y6hsvyTKJFnFl+C/Ai+/2EaZbzXX/dtA/tk0uV7mFT8Uvksw37 RSkeize0a+xk1nz7aSeSF5rgOi3lQpG5p50sNZ1pTW9bUJC7pvRiajUqcXg6NjIxbZxseZ83 80IM5VpriRfMJa9fzS2mknJt27WmNP+GC7ZDa4Vqy7miNlL008Zma55L23BF7VebZz39mn/t wGWIsx9O1xZprW8El7U2b0PlEOQ2BLb6t/sZ1GINs3ZtVTQP65Bl0OXFuv6i0LbdqtBaBznX x0brMP6ae9T62C+se5V+2S/pbdbvdfqZzQqWkjWOJCmaW2GNWoDLGhmzuyoIcrszxBNAAARA YLkIBLelExEjX7fppMCi+9OEXSZZOkFFYxAAga4EEOR2JYj2IAACIAACIAACIAACS0cAQe7S mQQCgQAIgAAIgAAIgAAIdCWAILcrQbQHARAAARAAARAAARBYOgIIcpfOJBAIBEAABEAABEAA BECgKwEEuV0Joj0IgAAIgAAIgAAIgMDSEUCQu3QmgUAgAAIgAAIgAAIgAAJdCaxGkGs+CcPH 3/KpLvFDgbuiKLd3p6bISUJZv/Jh7930hKSDmwc+SazWWTOdBAzL0umRpcbZ9xrtaUYl1k9k h361tE9rfFzzPIRo88wFnm3fRjy0AQEQAAEQAIFlIbAaQW4bWj0FA8VTaORYy1MqHDHYRr4W bZqfiNOiE26yqH7aSVfRqo7d69wzF+H6eejKBuj9qI+ngAAIgAAIgEAtAksf5GrZRXuSDJ/a NR7Q5dEFvXJnrBOfBMPnrvv/tvms6OnL6oxr/vz4GxrcXdH+1GY1/ZNr7LMjGU+v49xpNr5A NU620WThVCTtnLDOck69nO09mnJGuYbNbzkrfnKUtGP5J6xbAUsoyNXskJfzgAYXF3TB+j1s nZAc031wwCfWXxhB6WAsLwhyrjdnw1nubVbgFX+cfjw4IjYhH/hjM+O5s9C3MznlJSP8TFYi OTe+yu7mRWUz42XsKrYc3GVniRs5EzAKs6gPii2C7ZJTrRTdWXk6HCa7Baz7Nj9qlPig0W3F g/QaXopbQAAEQAAEQKAzgaUPcp2GseyiBF8nNKbR8ct8sNYmEDCB4xZNJi/pOcc35vz4Xcpt 3RcDpM4WiD1AkyWgW+3s3uMjPbJyEr6Z4JSOS8G/lsktXRNZhpQyu+UAcvfyBb2evjSaWfvc 0FQi8OTeqVxzpQ8P50SnfM8Wv4TsXdPO6SZNj2e5Z9qgb0bH3E7kjj6zZgBYZuXOOk9KT5jR 2XCD7kfJ8b8VzOI+GGGt6c6cRL6rfQ6yo2UwUjIzo/OE8dx8EA8GARAAARAAgRUmsAZB7g7N jqdUStK2CHJDAWywXMHLAlbZvm0mV5VFAuBZPjitG3z7WVeRPZThbhTklmTJB2D5gNK75tkn vYc4YJYgd/+qlImXLPD4wdo5+swuQW4xaPT0qmIWe8GIttN0l5cB6Zt3IiT3nWW//XQ7gtyq cYfrIAACIAACILDeQa5kGCXbxdvGw91LepEESVGzr3sm12RS75nJeZLJ3eFM7mTOmVz/JaRm kFvM5BYMVhnkVti9/EKgZHKfVzMLBrka66og19dXstgbXDLj/xCwxQscpjoQAAEQAAEQeNMI LHeQa7Z1uX40Z5UkoydZv+K1XJ0rbzkfDrnOM6kFvdG2f7MOynWwXBvJ5RCy/V6qyeVaUrct Pw/H0WQpZftu6tXkSkC265gcDLhW9oLrYHlbXoK5Jqy9zGqpJvduy2yl2/pZ4W9rl2emhlr+ 88/o4OJfM1f5/zdczLDLMvE9D1t0IgW3XD892TzlFxOXzeR85sGYJuf8whJ95g29NkXJNexe ChIl+OZAMlKT24iZ54Phdg9EuxuK7n9Gg8ufsx5c12wc39UxZ5nc2qUp83BKPBMEQAAEQAAE VoTAcge5KwIRYnovCVLHzHXN8wz+++CtZoP76GBez0AWd15k8VwQAAEQAIE1I4Agd80M+jTq JF8MMJ1ntbNPI0vzXv0Mvclq1/lKRfNu0AIEQAAEQAAEQGCBBN6sIDdY/pDQnnPpwUJsuu76 LQQiOgEBEAABEAABEFgHAm9WkLsOFoMOIAACIAACIAACIAAClQQQ5FYiwg0gAAIgAAIgAAIg AAKrRgBB7qpZDPKCAAiAAAiAAAiAAAhUEkCQW4kIN4AACIAACIAACIAACKwaAQS5q2YxyAsC IAACIAACIAACIFBJAEFuJSLcAAIgAAIgAAIgAAIgsGoEFhTk+t9R9RD5J5SZz1/d08g/vpRv vT18xqdhSRt7alYfnzC1J3HJwVojut/gE82cHHyQwTPbWfKPT5uqc1IaH726M5yZI4Szc6n4 Ee6TXrnPkzkWiT5ybOuQZTAHsx2wlne0NZnSy+c1mC27t8W4GLmXUL+ID84FsxwhnZzots3+ N+GP86a+o11ThbGnvV2KM7HPjdgfzXhR7TAX7dqN2yeQU9O+cu4J+Iv55nJyQmLp2Uum33ws vxpP7d22c1I7ulZ16K+N7h26q9XU6jkIrPH5EyzHD7I2mkktPNfV6k25aY5rgOXeXxwT0mIZ bdvVJF3bLyjITYKaQ6Lz9Ev7HOTk/ltX5WznkDan/QS5ciTus13iAXXMR81u0OWLB5rakWOO oj3ddEfk8kDaGRJHr8nAisuYb+fdJwHLyR0NRvaZ2aRln3m2s5M9/5H7G/r9FRk1Y9bVOfpo H+XiAt0OPtGHfE/zjEc+RviU9ifsz+wDt+xzV57Pxa/p0grr6z3nq3lfUe0wx1PUmo5b3V+e xlrNdJAjomfmWOvQv2XU72moLkevfdp2Lhopa1XX/prp3rU3pb2skVf79OLuqrDGy1g6oa3R hF7KROn90+a6OUra+dGLYr6ofjoDCU+StHO6SdOeTmV6giCXSotA5dsHgwgZ7ZEHxzDJhkkW 9CYJGirBy6LOseSUFyLJvNyPslOuSotQMgBT4Em2d3ucBca2PxmQV3TMgXhuOEr72RYNLomv bdLp4Yz26ZJmx16QGxjE6TNNEFhmZk/p4tPFxgO6PLqgV3zS2MFNEpzfsn4nR/QqyQ77XB7P mJm5XxLHBzS4uEgz2eo1hbUqS4xLLsidv37ju13OsLGPDO74bdpoTwfjCZ0nLzcxH7SZuXi7 1j5YmLCzF6u89zYJivJjpBhsxf0zv3shSWDPt81LGvuLQcbMkpc1az7lWqJGcLIt7F5s872j 9AU2Iqc8L9Ju1sVG/jPFJw64n333kmuVCOkQn7Ms930e8CE/i84Top42NiPjz700i9wXAb9W 50JN94hte+uP52tn93nbT2PQr23DPelzSGFnz+0mut0/Za2qXOcqbmiie5Xd28+Ddrzv8/if FRJZ2tynz3XtyMTGdJXuWm/5MX1DAw7kRVezw1Zj/gw+W1nf3f1NbGum1sjc87B1Yna9y/ML J2o4U3jBa8I2Lw6v2F/HgyPi0ILjkAdO6D3n6Tocn6k8S7vphfWohWkXG+QKFBEycrqY9vZR upYM/smESwQkqjQT9owDyULJQEMopYHVIMslbYc0SbPCaSAwO+a/DmnIga5kdPevdtIgN7dw m0CVA6/0rdXb0g8wk0F5wlujo2PelvYja84IPzIUg0Wcl46tTAVmkkHcvXxBryXr1OBaiHVU FiNDgIuFYwdKxCd61S/pi5IBSCZrvpF7wQkHNFbGYLvn9mUp6IPB0+cCRx4XX6J8f9WuBfy6 NPE/4wnVK/GJ2iHm44G/3x4mvkuse+FtO73m+WJ4suXM9b7v53llYnLK88PtWtqItzz9rLnZ AuWdHf+lNxbkxhcTkeWE/cXp98hr2ZDlzgLnoH4dxp8dJzc28+EFRfrUp+gufq3Ytl1/sqY/ jf2aBrldbBvuS/FPiXZMIiSZo81/eutDw/Wrye2N1lsjV8TPOqzF1ifs2CjKI2vX6T3RHSdi zDu29/JdNdc14VC8NxYgNh5jJojdStcHCfq4OtKWZGhzaz5pXVYltr57dzayrTb3VNldSkwf OAt3yr6xxcmRvWs7dxzP4muj9kzRoUHMVcfOiw1yI1nJ+KSSqVAyWiDil+xcVrNTR/2A/+TK FZIJiLdS6qXOk4XDL6soTGDSY3QSY+c9HPI2tp/VUpjFnuO/lUl/6eRQksXL9lVcK2b7iqz1 iTnAxaB3W+rlTK7GqZV+JqNc2EYO2KY8OSjtNk8LNdyGdm0fNJM4v4C4bLLvjdq1mGdXZzci dohNKgE+6Usg5RdmOzf5pT5WyuBk69UcFzPqtlVEzmi7ljYKBOohto0WjFp+VmeeyI9Nbfzl x55eLpHqpy0kmt05GGnVnx3QaR163u7ztZ+2EvRv21Bv1XNPKkfPC3x/uit2b70W25fKI4lg 3T/vdzoms3o3pgeXyLq9pdsPPjBZ0Oq5TtNcvxZ7MXe7r3Y3Jl6S5J6uzocVY0yTMLr+eY0a +bW29pth6790ebp7vlpKfuxfqWujOof0PAaeIMiN/3SskWGKb4/tfTrXsuiYjd+qiw6jBbmy yCZvQi4TWxq8St1yUDbD5Z7LiG3ZRC5r1CBbpGV5g9N4VfYhwCELcsM+0at+i8jk1vZB+dHE KdevnNta7xwb7ZregUx+13vJMxsErmkWXzL6vBU23L2kF/IDDy1b2yGTmx9wPGlu5DPO5nrQ X7yWsnOTtmuQyc13Xsjkhvk2mpeMn3mZ3MiOQUm/BmOzKGW7oLOYyfXZVmVyI4tebf+XiWlx 9usv0Ktp21KHFZlcz99H98Nsl68Jzxb3NvPrimDH39FqIYs0ie7WJruztzy/zZL5rdZc15cc WqCn9TGPTK62vrcNciszuS2C3GImt8CpMsg1P00qrEdVGe6ILRYU5Hrb0iJI6asKXD+aEzDJ hpkgMHJNdt/9mg9uv30w5l+pdyhXKL2RBr6ukNxTrsl1Csjb6aktoPe3rBOdbf2qgcA74Ft0 wvsxgzuuizV/8+pqi18fqGKWewPmMgRXn3cw4Fq9C0Zu645LtTd3W+mPZNRrMdahbXlf1tSu Hhfzt4Y+0Vm/pPYrVJOrlhYo7cxa7dUd1fXBQH+pP2nXHMuoD3qZES5veQiW7hTtIA/N/4I5 VzJTzL65um+3MLuaeN93a/DkCtLM573a6GwaCPgL1+6F23WwEct6ODxKZDEGpDHX9psAPzb3 KNc2edtOsk830ZrcwDyR/KnN+OPJhmvmZPKwv9o29a3mP2/oddUPN2K6uxevgG1tPV2b/qyN FmY/bUHU/LOrbYNjU/dP5xGyNlwOkrITLXjyrrlf7D+w7WvFAC1137vW7d5qHkz1iJet5cZE 7ncw+lzXJ5cq3TVTlWtypTxvbEsEtblVeagEiMH1XcqMWsxZtpKx8FudJC6Ij/c/o4OLf21L DXmuuaFd++UIiWnsp6towjud6W+mvLWxes5S1qOa48K/bUFBbgvJVrlJw1rKp1LV1AhxzZAZ cIV/2rXW8i6YS16HeltMZd3atmtNaf4NF2yH1grVlnNFbaToN5fx19oQ8264ovarjaWeflpm NdyVyxBnP5yuLdJa3wguXcy7bnMPgtwu3rCSbf0MarF+VLu2KsqGdcgy6PLiWX9RaNtuVWit g5zrY6N1GH/NPWp97BfWvUq/7Ff9NitWmYF33UjWOJKkaG6FNWoBLi2Mub5zD4LcFu6AJiAA AiCw1ASC29KJxJGv23TSZ9H9acIukyydoKLxG0cAvtu7yRHk9o4UDwQBEAABEAABEAABEHhq Aghyn9oC6B8EQAAEQAAEQAAEQKB3Aghye0eKB4IACIAACIAACIAACDw1AQS5T20B9A8CIAAC IAACIAACINA7AQS5vSPFA0EABEAABEAABEAABJ6aAILcp7YA+gcBEAABEAABEAABEOidwEoF ue4UEznZp3gQrHatb2ruu4dNvrfqZKgtZ53T13pVrHACmXt2k+829ipP9rDY0crmNJbLF+WT vRJ2bexTpULQfuazL/c0CvilPeecT7lJjvQ7uHngk+eSs4nUdlWSyIE5fLqWnDIT7Le6/dzv qKFfYx3mZNu2Yzrczp7YcylG5891jfiwlXS+Ssd1G7spvjR3YzbooIbd6z7N8HUnRMUa9dhf XblW975kntfm9TeEZ2nu6TQ2V9cj1l3ylQpyxRhNz9uehwGbn0yTl6JuewniTjen5jhec/Tq jjnQmeQYPvWfTFKnmzStOtaz9BCeAA+JztN2xf+eB832ukQ5mkn6kl481GDVQqW69jNWExvS hM4rjdZCkIrx0O6JDVq19rN248G0mpNtm9jUlz7UTmx+ved8LzyG2vQ3b19qYPkF3lrvtLAF CrQaXWljs+24bdtuHsR6kiU0DtuMzXmoiGf2Q2Dpg9zy2c9XtD+1mVztWgxP7nQZ/6YGGcvi ILDZBs7MDO6yM6XHWWDTRs40QEqDXP6LfwzoLQdyJ0f0SjKE29z3hJkkZ84/4zPn/X/b/pnf sXamgVuQibOPMzr3jvu1GSs+IW08oMujC3pF23w4TxKAB5+ZZAy2t2mbhXzFGa3x4Ii4Kbez 2czceee+Dp7w+UC/bnAkfbOfpBnOalkM2xPWy/Bk3Ubu5UL3s8yfypk5/6QjK3l2j9ZO49LG lyr9k3VPzxj37KC2K+00SNLygaZJMK/qlzsn/YYGd96YjsiSWb5oW88nEply/l5zngwGq5Wy hF+6888KB2lNF1LNlzTfVcetwqbO2Aw1j9nd7LrwkfYHB0QXZluDx5g3R8ZFsfz2B5fBuVXz s/pj+oAGFxd0wWvAw9aJLqcyT/CERofDZNeGx9E2KzUya5XbJUvGvxs77lCOaDvdeaO2JT4J TVsDXIC4f5Xcl518GeVZMd5VSTX9FJ5t9es6fzYdmzWnGNz2RASWO8g1A2CLJpOX9JwDOHOm 8i7Z7Vnt2pxhlgeBOys72Yp+5KzrcIPuR3x8LE84UR0q5CwFeP7bK/fxyFAkrjWBDx2nAYbJ dsUyuVq7dDKWNWhMr70g14TAvD1+wluHo2PefvWzybFnum2vh3OiU267xUHQ3rWV7XhGJjGd 2NYuEDM65j79R8dKFUSeRpNRlSwFXmm/j/XsF5NFC9KDOoicMS6tfV7xz+dKf4k/kCux8P3a vmVW7hiUuGg6aLovekzXlKU6ExQOyhv5bqJ70JcCNiiOmei4jTGtqbtmkpB+Vo4bu8OU9DEt zDHlZwq/E570OWlgJp1HnoeGdLWfvYRGx1FsTFPe5285AN/lsic330XlrGAt3K/2nZwFTcTv Z9kc7dtIbVfh9/E5WVsD7LUJB7nDq32asD2Km4NB/6wx3sMvPhEuXXw3JksP82ebsTnn6QmP 70BgqYPc0KTuHPB5bivfEqjjnPPI5Nq6y3zm02QReFKbcPiZlRzUl1PuLOnvZXL9jJ7cm8te KZOR2k7J5Nogd4dmx+USgOgzPTnStrLAyOKTZhF8780yCu6v4T5tzeMRjeqf814hi78A+eyP Z37JSNx+vQW5gYyJZL3GXHqxd11PlmCgEPHP6eZpKevj+nv5PO7XJmNbY9ErctHGtLy4FjNQ mSwdZrkaTUPBeB1ZagW5RfY156qi2MEgtxA8heYN7UUxiKYHO4SDXH/+qFuGUOGDiQLBlykv qMxxkcRD7lq+jzwv71oVa7nOGVRbfl/OVKcyFsdNRTvNfaO2rSpX4HIu2h5w9dt5KcCNrqU1 xnvMn4Jcqngqa0507ulh/qwTR9SYUnDLkhBY6iDXbjchk+tKZHOB4vA+naBk8RtyOO22il2W ZCJZEi4lGO4m9akmg6G0S4Pc4s/6rLcGJ1Tz5hx5phZYFjO5kQHRrlwh8LAqWZY1k+ursohM bg6dkgF2mVxTJl7wMy8t1CmTu8BJsiRnMSMUkSVck3vINbnntnY+Ehi0WUjbZ3LDL6dRvDV1 18zTa5DrZ3KLuwmxIFfLElZmciPBeI3MY8pEdqY2/JIpM4Ga4Hp0PwwmC0zbUDsFtBrkxsam 0+OYy9JOeffsPL97pga5FeO9csj6+tXg2Vi/gm3z01m3XblK3XDDUhJY7iDXrBG8FW9qQKX0 VOr3uOYp+bWtdm2etIPlCjs8odWuyc10SKJHk8HK184Ws1pSA5tthcng33W1bQcDrnO74Otc HuF+pCaZTne9VrvC1xX8GmWz1c/1vz5U73pYlgei3Q22Ff/je29o134J4GGLTqQ4j+s3J5xF TGtBjX3HvHVWmHCV7EH9QOGRtzx1WSSjmcs2uHpjzQcnVOaSZF0lwCnVUaY1eAGeXrtcTVmB Szufl2yU4p9+7WmuP72d+TFkyM9C/uLrp43pqCw1RvQ8a3Ij/hn2QfmR6AbXsEujcfnrH/zn +r5r9Y76klwsZgKd71aMW42o5oPRdordZRdiwwCxdakzU+Nv54bXyg9kzc7b3Zh/7xCoya3w syiX0pjmmty7LfMbBFs7rMgZY2128674yVzbaybKcM2x2PFykJRs2Mm/VrsS80rbRsamK0kT 7t5umlk7pHSpOM974zY63tWhWaFfa9+N6WfLGmPrSp35MzY23dcYHth/q377XWO2wi0LIrD0 Qe6CODTqpvzZoLpbb426wc0JgdjbfNNA4c0F2tY/27ZbPdL9fkJM0T/dTm3zCbHV47oKEpvf evCOYfE3CPOQHXPWPKj29Ex1bLpdLZdI6qlPPGbuBBDk9oDYz7LM49usPYi4lo+Ifid3LbVt r1Rb/2zbrr2kaAkCiyLg71yVfwvQtxS534I0+JJP33LgeS0JSAC8oBehlhKiWYQAgly4Bgis OoHgtm2iVOArGauuLuQHgbUnsCpjelXkXHuHgYIxAghy4RsgAAIgAAIgAAIgAAJrRwBB7tqZ FAqBAAiAAAiAAAiAAAggyIUPgAAIgAAIgAAIgAAIrB0BBLlrZ1IoBAIgAAIgAAIgAAIggCAX PgACIAACIAACIAACILB2BBDkrp1JoRAIgAAIgAAIgAAIgMCCgtzCaVqOe+lUrXsa8Wki/qGy 2fcF+/t4uj3VRg7dGtH9Bp8+5uQonXudP2Us6i58VOHOcGaON82dhOI+r5L7jJNjkegjxxwO WQZ7pBufB3RHW5MpHwlag9my+2+Mi5F7CfUz9ir74Fwweyf9yEl+Ez71KfUd7ZoqjD0F6FKc iX1uxP5oD8CL+OdcFLMPbTVun0BODUGlDgF/Md8WTk5kLD17yfSbo/mX/tG923ZOGkfXqg79 tdG9Q3e1mlo9B+Y0vPyh8vmTzcYPsjaaSS0819XqTblpgWvAMtqhK75lbL+gIDcJag6JztMj HDnIyf23jqfXk2JMMEs8oI75eMkNunzxQFM7csyxjqeb0+x43B1zWHcysOIyBs+Vt6s97Zzc 0WBkn5lNWvaZZzs72fPNuex+f0VGzZgtg8NFudhQqOADq6dfO8Z8zPDOKe1PeEJnH7hln7vy fC5+Te9NWF/vOV/Ns1TtoByd3E6/rFXTcav7S1dp2rVvpoN+Stwy6teOynq06tO2cyGirFVd +2ume9felPayRl7t04u7K9qc+kGujKUT2hpN6KVMlN4/ba6bo6SdHn3Lx5lf3e/TsZ/Q4Cf2 aoc5zuXNlLcvIfdbIzp/mX9tafac7nc/QZBL7Lgzc064+1f5RhNxhNwZ1ZwFvUmChkos4ggc S05ZBsm83I+yo/pKi1AyAKcuOE+yvdvjLDC2/dkzuo95kOaGo7SfbREfvc7XNun0cEb7dEmz Yy/IDQzi9JnmRaDMzJ5GxSf1jAd0eXRBr+SsdHdm/S3rd3JEr5LssM8lf3Y3n9l+wWetJ5ls 9Zp/HniBtSpLjItjtiD9xne7nGFjHxnc0a5Nm9PBeMID0For5oM2Mxdv19oHCxN29mKV994m QVF+siwGW3H/fLZ7kes059vmJY39yyBjZsnLWgItfi15YnACL+xebPO9o3Rxi8gpz4u0m3Wx kf9M8YkD7mffveRaJUI6xOcsy32fB3zIz6LzhKjHi+DQjGXZ1CmMzcj4cy/NIvdFwK/VuVDT PWL33vrjOcTZfd720xj0a9twT/ocUtjZc7uJbvdPWasq17mKG5roXmX39vOgHe/7PP5nO4e5 IFeb+/S5rh2Z2Jiu0r2qNxvcbtHxxdXwmQAAIABJREFUMe/05mP1FvNLfB78oLQTLRt6XpzS eLwnvsnz/jYvAK/YJ8eDI+IpimONB9o62VDXRqOcJO5OTznY3X+yYHexQS6nT81yGjmFSXuj KV1LBv9kkjiOMeCMA8lCyUCVBxaulwZWgzcjaTukSZoVTgOB2TH/dUhDDnQlo7t/tZMGubmF 2wSqHHilb63eln6AmQzKE94aHfHgyb3osmM98miS8WQWTjq2MhWYSQZx9/KFPbO9wTUrc551 VBYjQ4CLhUOHik/0ql/SF/HgNHxN1nwj94ITDmjcmeWBds/ty1LQB4MnAQWODy2+RPn+qF0L +HVp4n/Gi4e3/Re1Q8zHA3+/PUx8l1j3001KX/7Emu6aN5GHF1LOXO/7fp5XJianPD/crqWN eMvTz5qbLVDe2fFfemNBrpO4rJ/IcsLbRE6/R+YyZLmzwDmoX4fxZ8fJjbWFFxTpU5+iu/i1 Ytt2/Vn/eAr7NQ1yu9g23Jfin5LkMomQZI6OjKOGy1it2xutt0auiJ91WIutT9ixUZRH1q7T e6I7TsSYFz8vYKua62oBiNwUC/4bjzGzTnImumInuLkdlPkzGq+0HO8yz0sJ3wNn2k7Z/lsc NO9dJ/MDJ9/Mlri+ptpg94xZXFay6GK3WNvFBrmRrF18UsnELjlC4K1FsnNZzU47XJWZXPWx iSP5Wy6FCcyEdoFgwDoCtx/yNraf1VKYxZ7jZ4TksenkUJLFy/ZVXCtm+4qsozpZxWwwkduK MiSScoVyplrj1Eo/k1HO7yAUFxfpMxi0xNptnnLZSz4L2sQHzSTOLyAum+y7lnYt5oLV2Y2I HWITY8B30/FB+YXZzmN+qY+VMjiBezXHxYy6bRWRM9pOsa1mo0CgHmLbbBGq42d15on82NT8 LD/29HKJVD/t5V2zOwcjrfqzA5p2eLxIwJK3+3ztFxsvUf9MGjSaC5IdoXBf1T6R9tUgqaLp VedaM79W7N56LbYvlUfWIew/73c6JrN6N6YHl8i6vaXbDz4wNbvVc10dAuF7Yi/mbvfV7sYU 1hKluzaZXPe4xvNng4RFKrI23r0X3nKCI7BuF5/1xmVyK2pwGw264ttje5/OtSwu1HrwFui0 aGQtyPXeklwmtjR4FWZB2QyXey4jtmUTuaxRg2yRluUNoa7kFOBQrsnNP7lX/RaRya3tg1Kv dMr1K+e21jvHRrumdyCB8fVe8swGgWuaxZeMPpe6DHcv6YX8wEPL1nbI5OYHHC8YG/mMs7ke 9BevpWRJ0nYNMrn5zguZ3PqLXnwRKmRyIzsGJf0ajM2ilO2CzmJmx2dblcn1dqIaLvhpLwu0 nzZqGq05Zg7xsvQx25Y6rMjkev4+uh9mu3y155N2NzbTXQlye1qLo7u1ye6sBIuzZH6rNde1 wxIpT+ru821qcjUbGfVy48gs+HZ3sTiXP2853r15PhjkRjO5b1xNrrctLYYpfVWB60dzDplk ZE0QGLkmO85+nRq33z4Y86/UO5QrlN5IA19XiNbkOgXk7fTU1hb5W9aJzrZ+1UDgLP8WnfB+ zOCO62LN37y62uLXB6qY5d6AuQzB1ecdDLhW74KR27rjUt3f3VZaH61ei7EObcv7smarWsbF RjFZqUIdn+isX1L7FarJVUsLlHZmjuFykDQ7VdMHA/2l2XbtmmMZ9UEvM8LlLQ/B0h3PP33b 8Jb6kfMZv2SmmH1zdd9uYfYzc+5aDZ5cQZr5vFcbnU0DRTmtHcLtOtjIbKMdJbKYSYTGXNtv AvzY3KNc2+QtPck+3URrcgPzRPKnNuOPBxX/Kl0mD/u1FlPfav7zhl6nP/KNrPYx3d2LV8C2 tj6xTX8Ltl+g9jFz9znaNjg2df90csnacDlIyk4iJiv+2daRHtAD215Tuavue9e63VvNg6lQ 8bK13JjI/Q5Gn+v65FKle01T5W/T5kg17tHGkXSR/xpFrvyx8XjnwPjZhi0x5fnkhnaNr5m4 xXye6s/4t0Y/598fhH/n0orLHBotsFxhDtIv6yMb1lI+lRoyMW2cbNma3MI/7VpreRfMJa9D sy2mTMe27VpTmn/DBduhtUK15VxRGyn6zWX8tTbEvBuuqP1qY6mnX2XWrtSfyxBnP5yuLdJa 3wguizFvPb9ejCzxXhDkPrUFFt6/n0Et1jBr1xYuaMsOwzpkGXR5Ka2/KLRt11J4NGtBYH1s tA7jr7kB18d+Yd2r9Mt+1W8zZpUZeNeNZI0jSYrmVlijFuCyEGNW+fVChKjRCYLcGpBwCwiA AAisFIHgdmiiQeTrNp30W3R/mrDLJEsnqGgMAiDQlQCC3K4E0R4EQAAEQAAEQAAEQGDpCCDI XTqTQCAQAAEQAAEQAAEQAIGuBBDkdiWI9iAAAiAAAiAAAiAAAktHAEHu0pkEAoEACIAACIAA CIAACHQlgCC3K0G0BwEQAAEQAAEQAAEQWDoCCHKXziQQCARAAARAAARAAARAoCuBlQpy3Skm crKPnF/t/9OudYVUbO++D9fke6vuGbXlrHP6Wq+KFU4gc89u8t3GXuXJHhY7MticvnT5onyy V8KujX2qVAjaz3yy6J5GAb+055zvpidqHdw88MlzydlEarsqSeSYTXvaUWg8VLdewB019Gus w5xs23ZMh9vZU4cu5QQ5/lzXiA9bSeerdFy3sZviSwswZ+0uati97rMMXxoHD6xJn9Fjf3Xl Wt37knlem9ffEJ6luafT2Fxdj1h3yVcqyBVjND1vex4GbH4yTV6Kuu0liDvdnJrjeM1xffZQ anpZdX6jTFKnmzStOtazBIcnwEOi87Rd8b/nQbPimYouUY5mkr6kFw81WLVQqa79jNXEhjSh 80qjtRCkYjy0e2KDVq39rN14MK3mZNsmNvWlD7UTm1/vOd8Lj6E2/c3blxpYfoG3rsapSgsE Uq8rbWy2Hbdt29WTuNldPckSGodtxmYz4XH3IgksfZCbP8/9hgZ3V7Q/tZlc7VoMYu50Gf+m BhnL4iCw2QbOzETOcG4jZxogpUEu/8U/BvSWA7mTI3olx8hvc98TZpKcOf+Mz5z3/237Z37H 2pkGbkEmzj7O6Nw77tdmrPiEtPGALo8u6BVt8+E8SQAefGaSMdjepm0W8hVntMaDI+Km3M5m M3Pnnfs6eMLnA/26wZH0zX6SZlarZTFsT1gvw5N1G7mXC93PMn8qZ+b8E2Gs5Nk9WjuNSxtf qvRP1n3IPiOq+76ktivtNEjS8oGmSTCv6nfG/Rkfku4KYzoiS2b5om09n0hkyvl7zdk0GKxW yhJ+6c4/KxykNV1INV/SfFcdtwqbOmMz1Dxmd7PrwsfdHxwQXUiGW+aPcZ2XP8tvf3DJuxbl dpqf1R/TBzS4uKAL9sWHrRNdTmWe4AmNDofJrg3PZ9us5cisVW6XLBn/buy4Qzmi7XTnjdqW +CQ0bQ1wAeL+VXJfdvJllGfFeFcl1fRTeLbVr+v82XRs1pxicNsTEVjuINcMgC2aTF7Scw7g zHnuu2S3Z7Vrc4ZZHgTurOxkK/qRs67DDbof8fGxPOFEdaiQsxTg+W+v3McjQ5G41gQ+dJwG GCbbFcvkau3SyVjWoPIWoUyAJ7x1ODrm7Vc/mxx7ptv2ejgnOuW2WxwE7V1b2Y5nZBLTiW3t AjGjYw6s/UfHShUEXaPJqEqWAq+038d69ovJogXpQR1EzhiX1j6v+Odzpb/EH8iVWPh+bd8y K3cMSlw0HTTdFz2ma8pSnQkKB+WNfDfRPehLARsUx0x03MaY1tRdM0lIPyvHjd1hSvqYei/S 4ecJvxOe9DkgNpPOI8euQ7raz15Co+MoNqYp7/O3HIDvctnT60SWqJwVrIX71b6Ts6CN+P0s m6N9G6ntKvw+Pidra4C9NuEgd3i1TxO2R3FzMOifNcZ7+MUnwqWL78Zk6WH+bDM25zw94fEd CCx1kBua1J0DPs9t5VsCdZxzHplcW3eZz3yaLAJPahMOP7OSg/pyyp0l/b1Mrp/Rk3tz2Stl MlLbKZlc6SNeG5tl5nKyeHKkbWWBkcUnzSL43ptlFNxfw33amscjGtU/571CFn8B8tkfz/yS kbj9egtyAxkTyXqNufRi77qeLOX5IO6f083TUtbH9ffyudJOMrY1Fr0iF21My4trMQOVydJh lqvRNBSM15GlVpBbnBtqzlVFsYNBbiF4Cs0b2otiEE0PdggHuTs0O/bKOAJcGvmuVwIUfJny gsocF0k85K7l/TzPy7tWxVquux2RQKY6lbE4biraae4btW1VuQKXc9H2gKvfzksBbnQtrTHe Y/4U5FLFU1lzonNPD/NnnTiixpSCW5aEwFIHuXa7CZlcVyKbCxSH9+kEJYvfkMNpt1XssiQT yUxwKcFwN6lPNRkMpV0a5BZ/1me9NTihmjfnyDO1wLKYyY0MiHblCoGHVcmyrJlcX5VFZHJz 6JQMsMvkmjLxgp95aaFOmdwFTpIlOYsZoYgs4ZrcQ67JPbe185HAoM1C2j6T6weXNaDW1F17 Uq9Brp/JLe4mJEIE7dc6kxsJxmtkHlMmsjO14ZdMmQnUBNej+6EX7BcohtopoNUgNzY2nR7H XJZ2yrtn5/ndMzXIrRjvld7l61eDZ2P9Cln6/HTWbVeuUjfcsJQEljvINWtEsX6Pa56SX9tq 1+ZJO1iusMMTWu2a3EyHJHo0Gax87WwxqyU1sNlWmAz+tEbtYMB1bhd8ncsj3I/UJNPpathq tSt8XcGvUTZb/Vz/60P1rodleSDa3WBb8T++94Z27ZcAHrboRIrzuH5zwlnEtBaUb9s+GPPW WWHCVbIH9QOFR97y1GWRjGYu2+DqjTUfnFCZS5J1lQCnVEeZ1uAFeHrtcjVlBS7tfF6yUYp/ +rWnuf70dubHkCE/C/mLr582pqOy1BjR86zJjfhn2AflR6IbXMMujcblr3/wn+v7rtU76kty sZgJdL5bMW41opoPRtspdpddiA0DxNalzkyNv50bXis/kDU7b3dj/r1DoCa3ws+iXEpjmmty 77bMbxBs7bAiZ4y12c274idzba8tbg/WHIsdLwdJyYad/Gu1KzGvtG1kbLqSNOHu7aaZtUNK l4rzvDduo+NdHZoV+rX23Zh+tqwxtq7UmT9jY9N9jeGB/bfqt981ZivcsiACSx/kLohDo27K nw3CL4AbAWx4c+xtvmmg0LDbNbq9rX+2bbd66Pr9hJiif7qd2uYTYqvHdRUkNr/14B1DV5M7 T5kxZ82Tbsdnq2PT7Wq5RFLHvtB8YQQQ5PaA2s+yzOPbrD2IuJaPiH4ndy21ba9UW/9s2669 pGgJAosi4O9clX8L0LcUud+CNPiST99y4HktCUgAvKAXoZYSolmEAIJcuAYIrDqB4LZtolTg Kxmrri7kB4G1J7AqY3pV5Fx7h4GCMQIIcuEbIAACIAACIAACIAACa0cAQe7amRQKgQAIgAAI gAAIgAAIIMiFD4AACIAACIAACIAACKwdAQS5a2dSKAQCIAACIAACIAACIIAgFz4AAiAAAiAA AiAAAiCwdgQQ5K6dSaEQCIAACIAACIAACIBAwyB3sd8WTM1jPlNyTyM+acQdOGu+4ZmcfLYI M2Yn4fi9vZkfdHcnv8jJReEDgDNG2fche2aVfLh70d8lbqJ7pV821KHXviuFW7MblmAOqUU0 5BPpR+rdE/KnH9Z6bqObCqcfurZP+X3XhmOlkbq4GQRAYG0JNAxyLQdzhvr9gGjrmM7NAe3J P+UI1tgZ7u3JdjiNSZNTEUiOBEzPpOf73uTTa5rq3vT+Sr8wQcslvXiYku+Cle16uKE3XVro 0FvfPXCYyyPWfA6pZBbxCTPnbk6zY7t3hkSTGr7fcq4zx80eEp2nR+4W/7tSk35vaDFW+hUA TwMBEFhFAq2CXFlo96bHdLpzTcd83rcJc0vZBjm2/YGmEoFo10ywKOeY86kz4wFdHl3QKzn3 Ozl/PZ4JtEHufuBM81zGy32s2n0Uv0KW3LnX25x9nHC2MonjXZAr57BnC441u6aDds2cr37C Optz7lnvkVvI9GeaThNdUs6qBybZGe5jmzt7xTzGgyNi3Mz6gRdPa6eYLOUzv69of3pOJGfL XyRZ2iJrT55QcKaxrh5Mog/LUMrusyyDO5bJAM2fH3/LgfHJUcI6s63N0jOHAz55PtAuprvJ YkeeaeR/ZBmHu/Yse/albf6fETPLst9lHar0Fo73rF8q583E2q6zLOWeq7ho/qK7YtgOb8Ic UmVfE1wW/Nq4Ui7ItWN/52qfphKExnywYq5TfTcNcnmI8zx7zvO8+6fPZyHbVs891XNB87FS zRp3gAAIrDuB5kGuBDLXeyZ4LU28HbIwEpiecPnB6PhlGlT68MtBkkx6J8RRaLLIP/K8P6Sr fRsk5u8vZH1jcsrfJUEy4cBd4gYTpMzSQN4vWQhtk2s6BK8F5Lg93KHZcZahqeLSyEHdlu0D B6enzHuLX0L2rmnndJOmxzP7v2nmRtbRRJZHCX63Ui7mrPddRp8EmCrrRMCS/SpYN9Irvdmd L54E7Y+PdDbcoPtRct44//cjG9aYlrPyQzq2L2EmZhD/u7H6J7JNZWE3gX9cd1KfucP+6AWh 7ZTKtZIA43IQkNNEQpp+7WSJcqnhu1F1FTnVHZ+KrGTVWFmGOaStC6hzbWuecX+xwTa/oInA gVPzoqxjslTNPcq825YZ2oEACIBA4yA3dwa38PPrtDoFufngrmia4AJVyDCYgGRmA5dWQW4g 8yHZwHGyJa5lcm2gFNcheM2T1+lbXMy0ZzZ2X88+6XOJA3sJbvevUnZFWY5nocz1IW0mWclW QW4F68a62VC1lHXyfcLPyNq1O9lpKNkue04puOB7fX21Z5q+d2VnwvSWzyq3U1D163nIkvc/ j28N342pqMq55nNIS7Ormdy2PNV2SiZXm+uiz6yYe57xOMn/y+bdtszQDgRAAAQaBrmPHER4 JQomODCFW3YL1mXnTAbsjIa7Xs2kdq0iQJRHV2ZhClm7s52dpGaNM7xnQ9q9fEGv3ZZbTBYJ +PyMQsE/ijW55axrwyC3RjZsYUFup0yuwjphWJnJ7WUsKpnc52Lbey5jPE8yuTucyZ14mVzf doVgLpbJNX4Uf2ZOJdkV2MiXV7RROfpCMSdZokFuDd8N6lcl55rPIW1sbqfW/Itm7iVV80F1 rtN8V6/BDc5Lmm21IFfmHmXebcsM7UAABECgQZBb3r6ytVkC0b118/YwlwwcubpGv16QItdc HadvC5cdDl1L+trk7fbduzHXX14G6y+zjIJk0F4QHR3RRZp1jsuZqw0TzQ7GNDnnoN3Ubdqc XPYv0VuCYy7qzF3VdPCz38VsX1KLbF4YYs90AjSqyeUXlGcbdvuR+7+hXVtL+7BFJ1KQKlnN zdN85tHJYhZZ3t439dLC5IYGd7KVOTYvDlHWsngVdfAz4yz/MM10Zqy9nzI2HKESnHIgGanJ lYU5rdU9GHBd6wWjeE2Sqba2tbXFM+fXiZ003WPPPP/AysJVvrYmt4dMrl+f/sByXhfk7FuW rDwnzKWUqfb8RTNcXE4Tzq3tHNLaryu+rtCWp+ovrlQhmS9euzKminkp/MwHol197pnw3NPv XNBw6sDtIAACa0mgQZC7lvpDqbUi0OGLG2vFAcqAAAiAAAiAAAggyIUPrA2BbGdBktXJj83W RjsoAgIgAAIgAAIg0IQAgtwmtHAvCIAACIAACIAACIDAShBAkLsSZoKQIAACIAACIAACIAAC TQggyG1CC/eCAAiAAAiAAAiAAAisBAEEuSthJggJAiAAAiAAAiAAAiDQhACC3Ca0cC8IgAAI gAAIgAAIgMBKEECQuxJmgpAgAAIgAAIgAAIgAAJNCCDIbUIL94IACIAACIAACIAACKwEgYZB 7v9Dn/3Bj+gLT7W3vvVH9O73fncllK0t5N+c0f/30c/oK9+/one+4bX6Bet/wfp/zH97//fo K/S39NbBn9Db79V+cv0bExlcg5IscuEX/yd9OvqY3v7TlyyL/ff5h/v09/Rd+vUffifcF7f5 7GLKOvx3o8PXfvNv6ctv/klez/pSZnfGmFU+i5l+mDDle7/y/Y9Ylq/bVgH9Kh/Xot0XP96n z37+e/SOx7FWP4Wb+npOm77TNm2ZdepUb7wILl/y2PzV9X+iv//5b3W24xxR4NEgAAIgAAIL JNAwyE0Cj+v308D2y5/+gD7/eg9B0gKVruzKBApT+spJPoD9/MMf8CkDyd9+8Ql9fvHH2X9X PrTNDRIAfkzvxALW4CO1NnLtFX31hy4oZh0+/D59+e1CMN9G1AizqkcZ/6E/pHf+RRLYVjWY 0/XPPzyjX0u5tO+kr+e0lyDSUuzjjdven1/xwEVxWVQ/i+aH/kAABEAABJoT6BzkEmfwPv3k Bb3LQYrJIn782/S1/d+iL65+Rl/Sb3NmLgmA5b7/zH8zWVD++7e9wNjPkEqbb/E9SXbxS273 GWdVvxTdOPP4zgEHaC5zWsisvsW3vO0CFe1aJSfJWHMwWMjsmSD3239Ib7tMY/Icmz1l2Tgr +tnPOUMqOuxngVttHQq6E8UDVpsdEwGKGUjb5qu/OS3L4tkqhCAmpwSin15xlpXt8kVAP/us MDMNtfUX/45Ml5h+VbLEuXA/ik9IcPQl2y/V7/tsv8TOmv2+/Cn7p/F1ItnVeOvv/JeISkcL 3hDtz2X335dM/fvprorL8kd1L+wKSKdv7X9kxmzlP2VsmrEfGdMaF3U8iECJvLVl9JRAkFtp UdwAAiAAAm8Mgc5B7hccAP3Ky+TKQvs5b5e/vfcdLxgtZ5G++PEP6B/2JCv6CQdll/TVNHj1 sou/we0uiAPb79BbEtiaBZe35zmzKQGtPONX38yCEd9q2rXW1i0u+GkgZMs4yG21myxvkiFV dVB0N2US1Znc8qIusvwnlsVx+YQ5/TFzYtaf/IA+46xpMLiRTJ/KWuyalKYk977bKMMcpl61 ExAKWqyP6bKE28X9RQLuL34z8EyNiwny3k/9U4K3Tz9if+1S9lBhBynh+OyaX+a+98/oVz++ 5JfBF4GXrkBWulUmt2JsFjLD6Zj+pcKlSr/Wg9M2RJDbESCagwAIgMAaEWgX5I7+3GZW+V8x 25IFrx6lQAYxDW4kCIxtowYyUJIl/ZorIzBBRZLlLWRPTZYpdq0PA3Ig+9kFB+cmcxwIRp3O X7809b35f4kOVLWFXHhugGMwyC2WOHiyuKy7zYhK1pn/SWbw2x/H5eQXjLxdq4PvuojbBbnu BSn+IhAMdhSfyN/v6af44Ff/ulyq0znIqvJ5UdnowfXgbpekADsoQ5sgV2ujjGl5mSqWMKUy 1dGvrvME7uvMv0PfaAoCIAACILBcBNoFuUptXzDIDSyW8UyuB6iY9dHYSZZ1VC4xME20a3Xt 4X7Qc5KVS2QLaoNMbq6/YqasKEzLINfP5PpZ5W/Y57lMuPSWe9nwM7kFUdYiyPV1KvhENMjV fHARmdyCHaQM4HPa5hrm32Xbyf9/Uapnjga5Yl/Jvv8NZ4M/Ktecl4eC4p/amG6Sya07/mre hyC3JijcBgIgAAJvAIGGQW7h6wpcg/jr7ssKJgjMMryGnX+9mEXzs1DmF/9/br9aIP/kV/9c viBfLcjV7/Glt771XXrne1KuYH9ERfSzpJ1fB6tda2lVs6h/zDWXXn+pDskPuurU5OZ0kAA8 ojsHCuUMcJI5/5//7zLrJMP9a9dcq/t3zChUk2sCfr8/pXbYk5PSrK+tmf0HV0vr27cF1lJN rqk15SAs5EuJfpI9tRnogCx7H0e5vP1e3Cf8WtZ3Wb9fFfSL+6C8JBRrcuXrI9nXLdyXBeS5 UmJT51+svy9dHTZzeveHXK7APxo0Nc1iB1V36ZVLaLhs5e9dTbVXc6zKpIzN0m6JN6Y1LhpP I0uLmlytvrsOc9wDAiAAAiCwfgQaBrnrB6Afjfrbvu9HHjxlOQi4DH8PX69YDoUgBQiAAAiA AAisDAEEuT2Yys8iBb9n20MfeMQKEpCMJP8wLfrN4hVUCSKDAAiAAAiAwKoQQJC7KpaCnCAA AiAAAiAAAiAAArUJIMitjQo3ggAIgAAIgAAIgAAIrAoBBLmrYinICQIgAAIgAAIgAAIgUJsA gtzaqHAjCIAACIAACIAACIDAqhBAkLsqloKcIAACIAACIAACIAACtQkgyK2NCjeCAAiAAAiA AAiAAAisCgEEuatiKcgJAiAAAiAAAiAAAiBQm0DDILdw4hl38xaftvSuO/Wsdre4cVEE3Ilb clLZVxbV6ZvWjzvyeYkYv5F2X0I7vGlDAfqCAAiAwDIRaBjksuiFM+u/5CNfP//6n9A731gm tZ5AlgKXJ5Ag2uXnH57Rr/0QQe7CbfLEPvGkdn9i3Rdua3QIAiAAAiCwdAQ6B7nm/PpPXtC7 /+LrZE/++m362v5v0RdXP6Mv6bfpK+48e7nvP/PfPmYG7/Pfv+0Fxr/gDPHFj+gLuSZtvsX/ 8017PXfO/fu/R+8ccLD2XsLRb8fX3uI/v+2COe2aYgZNh6gscrLVRz/LPfWt/Y8Mk1xGzWSa /py+fP+76SlYsf7e/uQH9OkVGRZf/Py/Wy77f0jv8DPln8bly5+e0WeGv820v/V3r+irFUGu vKxo/Rk7B+xX2U5hbdn4N/wevcvZULGjpl9rP1NkqbStsdn79NkfsJ/yc9zJdpkO7Jt+Jlfx icpZQBkPMTsYn1Dsro6jSoEiN8TGWJXuEV8ydiXm+Jt/y36R93ntmkgXs0OVf+aZ8Rzy85/R Fzxmfh27U229Au1AAARAYGkIdA5yv+Dg6FdeJlcWm8/pu/T23ne8YJSDu+v3c2UNX/z4B/QP e39Cb7/3CX324SV9NQ1eP+Fg+fv05bev6J3f4HYXxIHtd+gtCWzNovoxB7L832Zh476/yYHf N2zg5//TrlXRj+qgyFLMcPvlE7pmAAAEaklEQVR95DNqrMOHH9M7rIP7F+wvWbg/p6QcRAJk 7v9daZf8/yAXE0C8nzKT4ObTj5hhja10K0ekv6j9bIARbSdBfQ44vwSdiN2t/ZwPfP7jS6K9 l+bvqn7Js5r7mWJ1jac04+ufXfML1Pf+Gf1K5PzmC3q74HPBrGmrbGbFeIjZ4ZeK3av0qxoQ kevqGIvpHvh75ge2HIq+/5Ed07/gueAimQu+oV3LBAzZQfVPb0zLXPbZX+7gGOaW/oBmIAAC ILBsBNoFuV7g4jKWWcDmAhdPVS/b6/6aljlIIFtYuNOWgYyQZDRdkGSyWpxBtUFUPtOpXquw Qrbo5nUoZmtzsigBTXWQG2Bmglz/715wrHD56l+Xy0fqbltr/blsfcl+nG2Ptqvj7ebFhTPN foa+yu4lNklHmp9p5TQ1+rP+9Lf0ltuZKOjWW5CrBcaKfpL5L5YNpTLV0a+OrYr3aOMvpodq o/ILYLZTJMF//uXQ30VyooWD3Pg4yvt1oP82XNAGBEAABEBgKQi0C3JjQWks+FCzN8XMlcel mIHSkEmwNOJgKZSx1K4FnhkMcqtkcdcl0/o3nPn7aEpfSTKWn3/4A6IDm7X+4qd/XMoWBfvT glxNlk6Z3EgwoNqvfZBrttD/X846f89m5tMApYp1Kz9TnKeiP9nS/py2uVTkd01JwOf0Ii0b 0YKrNCMd8Im4NBXjoY9M7jymnuIYi40H0nZ15pXJVfwamdx5eAOeCQIgAAJLQaBhkFv4uoJf u+bqTX21/OvFrI+fEZPt4Is/T2py+QFcX/s1zuzJ1nWulpAvvfWt7yZBkWRdXvFfuIbO1fKm NavatYpgp7i97ukQl0WeyVurP/5j+ntXS/j9rIwiq/uTbPMO0RXrKs/d+9jW6AaY2VpCqUu0 tZ7/YOqd+T8TeTRZyrWZUkea1QGHCFT1V8qMJ/arbBfFXf5Sh9NVvgIR1a+Lnymmj/X3pasb 5prcd3/I5QpcSpPaIWQ/f6dB8Ql19CvjIWYHeZ5md913XU1rVhNdPTtVjbH4eIjrYJ/51UBN LpFyLeQTiR1kZ0MdR7k6Zq7J/Tt+6fJKiao54A4QAAEQAIFlJdAwyF1WNSAXCIBAewIug8p1 8E/6lRStXGD+pQSmfp3r2X8dQW57V0JLEAABEFgiAghyl8gYEAUEnoSA1OwuQXBnv5phCbiv Vzge2rVuzPwdBa/ev9tD0RoEQAAEQGAJCCDIXQIjQAQQAAEQAAEQAAEQAIF+CSDI7ZcnngYC IAACIAACIAACILAEBBDkLoERIAIIgAAIgAAIgAAIgEC/BBDk9ssTTwMBEAABEAABEAABEFgC Aghyl8AIEAEEQAAEQAAEQAAEQKBfAghy++WJp4EACIAACIAACIAACCwBAQS5S2AEiAACIAAC IAACIAACINAvAQS5/fLE00AABEAABEAABEAABJaAAILcJTACRAABEAABEAABEAABEOiXAILc fnniaSAAAiAAAiAAAiAAAktA4P8H07l8RqhGWiQAAAAASUVORK5CYII=

--------------bMkbzSiBpQ0nrWDGIdbSh5ED--

--------------osmUJLooDTHwGnisrTuwA7jT--

--------------Yv2PB6pzh5ijKRXKrSkhXVg0 Content-Type: text/plain; charset="UTF-8"; name="log_2024-06-17_15-50-48.txt" Content-Disposition: attachment; filename="log_2024-06-17_15-50-48.txt" Content-Transfer-Encoding: base64

U3lzdGVtIE9TOiBXaW5kb3dzIDEwLCBBcmNoaXRlY3R1cmU6IEFNRDY0DQpKYXZhIEluZm86 IDE3LjAuMTAsIE9wZW5KREsgNjQtQml0IFNlcnZlciBWTSwgRWNsaXBzZSBBZG9wdGl1bQ0K Lk5FVCBDb3JlIEluZm86IDYuMC4yNQ0KDQoNClZlcnNpb24gaW5mbzoNCkZyYWdQaXBlIHZl cnNpb24gMjIuMA0KTVNGcmFnZ2VyIHZlcnNpb24gNC4xDQpJb25RdWFudCB2ZXJzaW9uIDEu MTAuMjcNCmRpYVRyYWNlciB2ZXJzaW9uIDEuMS4zDQpQaGlsb3NvcGhlciB2ZXJzaW9uIDUu MS4xDQoNCg0KTENNUyBmaWxlczoNCiAgRXhwZXJpbWVudC9Hcm91cDogDQogIChpZiAic3Bl Y3RyYWwgbGlicmFyeSBnZW5lcmF0aW9uIiBpcyBlbmFibGVkLCBhbGwgZmlsZXMgd2lsbCBi ZSBhbmFseXplZCB0b2dldGhlcikNCiAgLSBEOlxleHBfMTI4NVxESUFfZGlyZWN0XzZ1XDIw MjQwNTEwX2V4cDEyODVfQWFycmVuX3Bob3NwaG9fNnVfRElBX0YyX1Nsb3QxLTczXzFfNTIw MC5kCURJQQ0KDQoNCjI1IGNvbW1hbmRzIHRvIGV4ZWN1dGU6DQpDaGVja0NlbnRyb2lkDQpE OlxNU0ZyYWdnZXJcRnJhZ3BpcGUtMjIuMFxqcmVcYmluXGphdmEuZXhlIC1YbXgzMDVHIC1j cCBEOlxNU0ZyYWdnZXJcRnJhZ3BpcGUtMjIuMFxsaWJcZnJhZ3BpcGUtMjIuMC5qYXI7RDpc TVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcdG9vbHNcYmF0bWFzcy1pby0xLjMzLjQuamFyIGNv bS5kbXRhdnQuZnJhZ3BpcGUudXRpbC5DaGVja0NlbnRyb2lkIEQ6XGV4cF8xMjg1XERJQV9k aXJlY3RfNnVcMjAyNDA1MTBfZXhwMTI4NV9BYXJyZW5fcGhvc3Bob182dV9ESUFfRjJfU2xv dDEtNzNfMV81MjAwLmQgMzUNCldvcmtzcGFjZUNsZWFuSW5pdCBbV29yayBkaXI6IEQ6XGV4 cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXRdDQpEOlxNU0ZyYWdnZXJcRnJhZ3BpcGUtMjIu MFx0b29sc1xQaGlsb3NvcGhlclxwaGlsb3NvcGhlci12NS4xLjEuZXhlIHdvcmtzcGFjZSAt LWNsZWFuIC0tbm9jaGVjaw0KV29ya3NwYWNlQ2xlYW5Jbml0IFtXb3JrIGRpcjogRDpcZXhw XzEyODVcRElBXEZyYWdwaXBlX291dHB1dF0NCkQ6XE1TRnJhZ2dlclxGcmFncGlwZS0yMi4w XHRvb2xzXFBoaWxvc29waGVyXHBoaWxvc29waGVyLXY1LjEuMS5leGUgd29ya3NwYWNlIC0t aW5pdCAtLW5vY2hlY2sgLS10ZW1wIEM6XFVzZXJzXGhkcmV4bGVcQXBwRGF0YVxMb2NhbFxU ZW1wXDM0NGIxNjk0LTc4YjEtNGM3Yi1iMzk3LWIyZmJmODVhNmExYQ0KZGlhVHJhY2VyIFtX b3JrIGRpcjogRDpcZXhwXzEyODVcRElBXEZyYWdwaXBlX291dHB1dF0NCkQ6XE1TRnJhZ2dl clxGcmFncGlwZS0yMi4wXGpyZVxiaW5camF2YS5leGUgLVhteDMwNUcgLURsaWJzLmJydWtl ci5kaXI9RDpcTVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcbGliXC4uXHRvb2xzXE1TRnJhZ2dl ci00LjFcZXh0XGJydWtlciAtY3AgRDpcTVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcdG9vbHNc YmF0bWFzcy1pby0xLjMzLjQuamFyO0Q6XE1TRnJhZ2dlclxGcmFncGlwZS0yMi4wXHRvb2xz XGRpYVRyYWNlci0xLjEuMy5qYXIgZGlhdHJhY2VyLmRpYVRyYWNlck1haW5DbGFzcyAtLWRG aWxlUGF0aCBEOlxleHBfMTI4NVxESUFfZGlyZWN0XzZ1XDIwMjQwNTEwX2V4cDEyODVfQWFy cmVuX3Bob3NwaG9fNnVfRElBX0YyX1Nsb3QxLTczXzFfNTIwMC5kIC0td29ya0RpciBEOlxl eHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0IC0tdGhyZWFkTnVtIDM1IC0td3JpdGVJbnRl ciAwIC0tZGVsdGFBcGV4SU0gMC4wMSAtLWRlbHRhQXBleFJUIDMgLS1tYXNzRGVmZWN0Rmls dGVyIDAgLS1tYXNzRGVmZWN0T2Zmc2V0IDAuMSAtLW1zMU1TMkNvcnIgMC4zIC0tUkZNYXgg NTAwDQpNU0ZyYWdnZXIgW1dvcmsgZGlyOiBEOlxleHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0 cHV0XQ0KRDpcTVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcanJlXGJpblxqYXZhLmV4ZSAtamFy IC1EZmlsZS5lbmNvZGluZz1VVEYtOCAtWG14MzA1RyBEOlxNU0ZyYWdnZXJcRnJhZ3BpcGUt MjIuMFxsaWJcLi5cdG9vbHNcTVNGcmFnZ2VyLTQuMVxNU0ZyYWdnZXItNC4xLmphciBEOlxl eHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XGZyYWdnZXJfZGRhLnBhcmFtcyBEOlxleHBf MTI4NVxESUFfZGlyZWN0XzZ1XDIwMjQwNTEwX2V4cDEyODVfQWFycmVuX3Bob3NwaG9fNnVf RElBX0YyX1Nsb3QxLTczXzFfNTIwMF9kaWF0cmFjZXIubXpNTA0KTVNGcmFnZ2VyIG1vdmUg cGVweG1sDQpEOlxNU0ZyYWdnZXJcRnJhZ3BpcGUtMjIuMFxqcmVcYmluXGphdmEuZXhlIC1j cCBEOlxNU0ZyYWdnZXJcRnJhZ3BpcGUtMjIuMFxsaWJcZnJhZ3BpcGUtMjIuMC5qYXI7L0Q6 L01TRnJhZ2dlci9GcmFncGlwZS0yMi4wL2xpYi9jb21tb25zLWlvLTIuMTUuMS5qYXIgY29t LmdpdGh1Yi5jaGhoLnV0aWxzLkZpbGVNb3ZlIC0tbm8tZXJyIEQ6XGV4cF8xMjg1XERJQV9k aXJlY3RfNnVcMjAyNDA1MTBfZXhwMTI4NV9BYXJyZW5fcGhvc3Bob182dV9ESUFfRjJfU2xv dDEtNzNfMV81MjAwX2RpYXRyYWNlci5wZXBYTUwgRDpcZXhwXzEyODVcRElBXEZyYWdwaXBl X291dHB1dFwyMDI0MDUxMF9leHAxMjg1X0FhcnJlbl9waG9zcGhvXzZ1X0RJQV9GMl9TbG90 MS03M18xXzUyMDBfZGlhdHJhY2VyLnBlcFhNTA0KTVNGcmFnZ2VyIG1vdmUgcGluDQpEOlxN U0ZyYWdnZXJcRnJhZ3BpcGUtMjIuMFxqcmVcYmluXGphdmEuZXhlIC1jcCBEOlxNU0ZyYWdn ZXJcRnJhZ3BpcGUtMjIuMFxsaWJcZnJhZ3BpcGUtMjIuMC5qYXI7L0Q6L01TRnJhZ2dlci9G cmFncGlwZS0yMi4wL2xpYi9jb21tb25zLWlvLTIuMTUuMS5qYXIgY29tLmdpdGh1Yi5jaGho LnV0aWxzLkZpbGVNb3ZlIC0tbm8tZXJyIEQ6XGV4cF8xMjg1XERJQV9kaXJlY3RfNnVcMjAy NDA1MTBfZXhwMTI4NV9BYXJyZW5fcGhvc3Bob182dV9ESUFfRjJfU2xvdDEtNzNfMV81MjAw X2RpYXRyYWNlci5waW4gRDpcZXhwXzEyODVcRElBXEZyYWdwaXBlX291dHB1dFwyMDI0MDUx MF9leHAxMjg1X0FhcnJlbl9waG9zcGhvXzZ1X0RJQV9GMl9TbG90MS03M18xXzUyMDBfZGlh dHJhY2VyLnBpbg0KTVNCb29zdGVyIFtXb3JrIGRpcjogRDpcZXhwXzEyODVcRElBXEZyYWdw aXBlX291dHB1dF0NCkQ6XE1TRnJhZ2dlclxGcmFncGlwZS0yMi4wXGpyZVxiaW5camF2YS5l eGUgLVhteDMwNUcgLWNwIEQ6XE1TRnJhZ2dlclxGcmFncGlwZS0yMi4wXHRvb2xzXE1TQm9v c3Rlci0xLjIuMzEuamFyO0Q6XE1TRnJhZ2dlclxGcmFncGlwZS0yMi4wXHRvb2xzXGJhdG1h c3MtaW8tMS4zMy40LmphciBGZWF0dXJlcy5NYWluQ2xhc3MgLS1wYXJhbXNMaXN0IEQ6XGV4 cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXRcbXNib29zdGVyX3BhcmFtcy50eHQNClBlcmNv bGF0b3IgW1dvcmsgZGlyOiBEOlxleHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XQ0KRDpc TVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcdG9vbHNccGVyY29sYXRvcl8zXzZfNVx3aW5kb3dz XHBlcmNvbGF0b3IuZXhlIC0tbm8tdGVybWluYXRlIC0tcG9zdC1wcm9jZXNzaW5nLXRkYyAt LXN1YnNldC1tYXgtdHJhaW4gNTAwMDAwIC0tbnVtLXRocmVhZHMgMzUgLS1yZXN1bHRzLXBl cHRpZGVzIDIwMjQwNTEwX2V4cDEyODVfQWFycmVuX3Bob3NwaG9fNnVfRElBX0YyX1Nsb3Qx LTczXzFfNTIwMF9kaWF0cmFjZXJfcGVyY29sYXRvcl90YXJnZXRfcHNtcy50c3YgLS1kZWNv eS1yZXN1bHRzLXBlcHRpZGVzIDIwMjQwNTEwX2V4cDEyODVfQWFycmVuX3Bob3NwaG9fNnVf RElBX0YyX1Nsb3QxLTczXzFfNTIwMF9kaWF0cmFjZXJfcGVyY29sYXRvcl9kZWNveV9wc21z LnRzdiAtLXByb3RlaW4tZGVjb3ktcGF0dGVybiByZXZfIDIwMjQwNTEwX2V4cDEyODVfQWFy cmVuX3Bob3NwaG9fNnVfRElBX0YyX1Nsb3QxLTczXzFfNTIwMF9kaWF0cmFjZXJfZWRpdGVk LnBpbg0KUGVyY29sYXRvcjogQ29udmVydCB0byBwZXB4bWwgW1dvcmsgZGlyOiBEOlxleHBf MTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XQ0KRDpcTVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBc anJlXGJpblxqYXZhLmV4ZSAtY3AgRDpcTVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcbGliLyog Y29tLmRtdGF2dC5mcmFncGlwZS50b29scy5wZXJjb2xhdG9yLlBlcmNvbGF0b3JPdXRwdXRU b1BlcFhNTCAyMDI0MDUxMF9leHAxMjg1X0FhcnJlbl9waG9zcGhvXzZ1X0RJQV9GMl9TbG90 MS03M18xXzUyMDBfZGlhdHJhY2VyLnBpbiAyMDI0MDUxMF9leHAxMjg1X0FhcnJlbl9waG9z cGhvXzZ1X0RJQV9GMl9TbG90MS03M18xXzUyMDBfZGlhdHJhY2VyIDIwMjQwNTEwX2V4cDEy ODVfQWFycmVuX3Bob3NwaG9fNnVfRElBX0YyX1Nsb3QxLTczXzFfNTIwMF9kaWF0cmFjZXJf cGVyY29sYXRvcl90YXJnZXRfcHNtcy50c3YgMjAyNDA1MTBfZXhwMTI4NV9BYXJyZW5fcGhv c3Bob182dV9ESUFfRjJfU2xvdDEtNzNfMV81MjAwX2RpYXRyYWNlcl9wZXJjb2xhdG9yX2Rl Y295X3BzbXMudHN2IGludGVyYWN0LTIwMjQwNTEwX2V4cDEyODVfQWFycmVuX3Bob3NwaG9f NnVfRElBX0YyX1Nsb3QxLTczXzFfNTIwMF9kaWF0cmFjZXIgRERBIDAuNyBEOlxleHBfMTI4 NVxESUFfZGlyZWN0XzZ1XDIwMjQwNTEwX2V4cDEyODVfQWFycmVuX3Bob3NwaG9fNnVfRElB X0YyX1Nsb3QxLTczXzFfNTIwMF9kaWF0cmFjZXJfY2FsaWJyYXRlZC5tek1MDQpQZXJjb2xh dG9yOiBEZWxldGUgdGVtcA0KRDpcTVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcanJlXGJpblxq YXZhLmV4ZSAtY3AgRDpcTVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcbGliXGZyYWdwaXBlLTIy LjAuamFyIGNvbS5naXRodWIuY2hoaC51dGlscy5GaWxlRGVsZXRlIEQ6XGV4cF8xMjg1XERJ QVxGcmFncGlwZV9vdXRwdXRcMjAyNDA1MTBfZXhwMTI4NV9BYXJyZW5fcGhvc3Bob182dV9E SUFfRjJfU2xvdDEtNzNfMV81MjAwX2RpYXRyYWNlcl9wZXJjb2xhdG9yX3RhcmdldF9wc21z LnRzdg0KUGVyY29sYXRvcjogRGVsZXRlIHRlbXANCkQ6XE1TRnJhZ2dlclxGcmFncGlwZS0y Mi4wXGpyZVxiaW5camF2YS5leGUgLWNwIEQ6XE1TRnJhZ2dlclxGcmFncGlwZS0yMi4wXGxp YlxmcmFncGlwZS0yMi4wLmphciBjb20uZ2l0aHViLmNoaGgudXRpbHMuRmlsZURlbGV0ZSBE OlxleHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XDIwMjQwNTEwX2V4cDEyODVfQWFycmVu X3Bob3NwaG9fNnVfRElBX0YyX1Nsb3QxLTczXzFfNTIwMF9kaWF0cmFjZXJfcGVyY29sYXRv cl9kZWNveV9wc21zLnRzdg0KUFRNUHJvcGhldCBbV29yayBkaXI6IEQ6XGV4cF8xMjg1XERJ QVxGcmFncGlwZV9vdXRwdXRdDQpEOlxNU0ZyYWdnZXJcRnJhZ3BpcGUtMjIuMFx0b29sc1xQ VE1Qcm9waGV0XFBUTVByb3BoZXRQYXJzZXIuZXhlIE5PU1RBQ0sgS0VFUE9MRCBTVEFUSUMg RU09MSBOSU9OUz1iIFNUWTo3OS45NjYzMyxNOjE1Ljk5NDksbjo0Mi4wMTA2IE1JTlBST0I9 MC43IEZSQUdQUE1UT0w9MjAgTUFYVEhSRUFEUz0xIGludGVyYWN0LTIwMjQwNTEwX2V4cDEy ODVfQWFycmVuX3Bob3NwaG9fNnVfRElBX0YyX1Nsb3QxLTczXzFfNTIwMF9kaWF0cmFjZXIu cGVwLnhtbCBpbnRlcmFjdC0yMDI0MDUxMF9leHAxMjg1X0FhcnJlbl9waG9zcGhvXzZ1X0RJ QV9GMl9TbG90MS03M18xXzUyMDBfZGlhdHJhY2VyLm1vZC5wZXAueG1sDQpQcm90ZWluUHJv cGhldCBbV29yayBkaXI6IEQ6XGV4cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXRdDQpEOlxN U0ZyYWdnZXJcRnJhZ3BpcGUtMjIuMFx0b29sc1xQaGlsb3NvcGhlclxwaGlsb3NvcGhlci12 NS4xLjEuZXhlIHByb3RlaW5wcm9waGV0IC0tbWF4cHBtZGlmZiAyMDAwMDAwIC0tbWlucHJv YiAwLjUgLS1vdXRwdXQgY29tYmluZWQgRDpcZXhwXzEyODVcRElBXEZyYWdwaXBlX291dHB1 dFxmaWxlbGlzdF9wcm90ZWlucHJvcGhldC50eHQNClBoaWxvc29waGVyRGJBbm5vdGF0ZSBb V29yayBkaXI6IEQ6XGV4cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXRdDQpEOlxNU0ZyYWdn ZXJcRnJhZ3BpcGUtMjIuMFx0b29sc1xQaGlsb3NvcGhlclxwaGlsb3NvcGhlci12NS4xLjEu ZXhlIGRhdGFiYXNlIC0tYW5ub3RhdGUgRDpcRkFTVEFcMjAyMS0wMi0wMi1kZWNveXMtcmV2 aWV3ZWQtY29udGFtLVVQMDAwMDA1NjQwLmZhcyAtLXByZWZpeCByZXZfDQpQaGlsb3NvcGhl ckZpbHRlciBbV29yayBkaXI6IEQ6XGV4cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXRdDQpE OlxNU0ZyYWdnZXJcRnJhZ3BpcGUtMjIuMFx0b29sc1xQaGlsb3NvcGhlclxwaGlsb3NvcGhl ci12NS4xLjEuZXhlIGZpbHRlciAtLXBpY2tlZCAtLXByb3QgMC4wMSAtLXRhZyByZXZfIC0t cGVweG1sIEQ6XGV4cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXQgLS1wcm90eG1sIEQ6XGV4 cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXRcY29tYmluZWQucHJvdC54bWwgLS1yYXpvcg0K UGhpbG9zb3BoZXJSZXBvcnQgW1dvcmsgZGlyOiBEOlxleHBfMTI4NVxESUFcRnJhZ3BpcGVf b3V0cHV0XQ0KRDpcTVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcdG9vbHNcUGhpbG9zb3BoZXJc cGhpbG9zb3BoZXItdjUuMS4xLmV4ZSByZXBvcnQNCldvcmtzcGFjZUNsZWFuIFtXb3JrIGRp cjogRDpcZXhwXzEyODVcRElBXEZyYWdwaXBlX291dHB1dF0NCkQ6XE1TRnJhZ2dlclxGcmFn cGlwZS0yMi4wXHRvb2xzXFBoaWxvc29waGVyXHBoaWxvc29waGVyLXY1LjEuMS5leGUgd29y a3NwYWNlIC0tY2xlYW4gLS1ub2NoZWNrDQpTcGVjTGliR2VuIFtXb3JrIGRpcjogRDpcZXhw XzEyODVcRElBXEZyYWdwaXBlX291dHB1dF0NCkQ6XE1TRnJhZ2dlclxBbmFjb25kYVxweXRo b24uZXhlIC11IEQ6XE1TRnJhZ2dlclxGcmFncGlwZS0yMi4wXHRvb2xzXHNwZWNsaWJcZ2Vu X2Nvbl9zcGVjX2xpYi5weSBEOlxGQVNUQVwyMDIxLTAyLTAyLWRlY295cy1yZXZpZXdlZC1j b250YW0tVVAwMDAwMDU2NDAuZmFzIEQ6XGV4cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXQg dW51c2VkIEQ6XGV4cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXQgVHJ1ZSB1bnVzZWQgdXNl X2Vhc3lwcXAgbm9pUlQ7bm9JTSAzNSAiLS11bmltb2QgRDovTVNGcmFnZ2VyL0ZyYWdwaXBl LTIyLjAvdG9vbHMvdW5pbW9kX29sZC54bWwgLS1tYXhfZGVsdGFfdW5pbW9kIDAuMDIgLS1t YXhfZGVsdGFfcHBtIDE1LjAgLS1mcmFnbWVudF90eXBlcyBbXCdiXCcsXCd5XCcsXSIgIi0t cnRfbG93ZXNzX2ZyYWN0aW9uIDAuMCIgZGVsZXRlX2ludGVybWVkaWF0ZV9maWxlcyBEOlxl eHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XGZpbGVsaXN0X3NwZWNsaWJnZW4udHh0DQpE SUEtTk4gW1dvcmsgZGlyOiBEOlxleHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XQ0KRDpc TVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcdG9vbHNcZGlhbm5cMS44LjJfYmV0YV84XHdpblxE aWFOTi5leGUgLS1saWIgbGlicmFyeS50c3YgLS10aHJlYWRzIDM1IC0tdmVyYm9zZSAxIC0t b3V0IGRpYW5uLW91dHB1dFxyZXBvcnQudHN2IC0tcXZhbHVlIDAuMDEgLS1tYXRyaWNlcyAt LW5vLXByb3QtaW5mIC0tc21hcnQtcHJvZmlsaW5nIC0tbm8tcXVhbnQtZmlsZXMgLS1wZWFr LWNlbnRlciAtLW5vLWlmcy1yZW1vdmFsIC0tcmVwb3J0LWxpYi1pbmZvIC0tY2ZnIEQ6XGV4 cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXRcZmlsZWxpc3RfZGlhbm4udHh0DQpESUEtTk4g W1dvcmsgZGlyOiBEOlxleHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XQ0KRDpcTVNGcmFn Z2VyXEZyYWdwaXBlLTIyLjBcdG9vbHNcZGlhbm5cMS44LjJfYmV0YV84XHdpblxkaWEtbm4t cGxvdHRlci5leGUgZGlhbm4tb3V0cHV0XHJlcG9ydC5zdGF0cy50c3YgZGlhbm4tb3V0cHV0 XHJlcG9ydC50c3YgZGlhbm4tb3V0cHV0XHJlcG9ydC5wZGYNCkRJQS1OTiBtb3ZlIHNwZWNs aWIgZm9yIHNreWxpbmUNCkQ6XE1TRnJhZ2dlclxGcmFncGlwZS0yMi4wXGpyZVxiaW5camF2 YS5leGUgLWNwIEQ6XE1TRnJhZ2dlclxGcmFncGlwZS0yMi4wXGxpYlxmcmFncGlwZS0yMi4w LmphciBjb20uZ2l0aHViLmNoaGgudXRpbHMuRmlsZU1vdmUgLS1uby1lcnIgRDpcZXhwXzEy ODVcRElBXEZyYWdwaXBlX291dHB1dFxsaWJyYXJ5LnRzdi5zcGVjbGliIEQ6XGV4cF8xMjg1 XERJQVxGcmFncGlwZV9vdXRwdXRcZGlhbm4tb3V0cHV0XHJlcG9ydC50c3Yuc3BlY2xpYg0K RElBLU5OOiBQcm9wYWdhdGUgaW5mb3JtYXRpb24gW1dvcmsgZGlyOiBEOlxleHBfMTI4NVxE SUFcRnJhZ3BpcGVfb3V0cHV0XGRpYW5uLW91dHB1dF0NCkQ6XE1TRnJhZ2dlclxGcmFncGlw ZS0yMi4wXGpyZVxiaW5camF2YS5leGUgLWNwIEQ6XE1TRnJhZ2dlclxGcmFncGlwZS0yMi4w XHRvb2xzXGJhdG1hc3MtaW8tMS4zMy40LmphcjtEOlxNU0ZyYWdnZXJcRnJhZ3BpcGUtMjIu MFxsaWJcZnJhZ3BpcGUtMjIuMC5qYXI7RDpcTVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcbGli XGZyYWdwaXBlLTIyLjAuamFyIGNvbS5kbXRhdnQuZnJhZ3BpcGUudG9vbHMuZGlhbm4uUHJv cGFnYXRpb24gRDpcZXhwXzEyODVcRElBXEZyYWdwaXBlX291dHB1dA0KRElBLU5OOiBDb252 ZXJ0IERJQS1OTiBvdXRwdXQgdG8gTVNzdGF0cy5jc3YgW1dvcmsgZGlyOiBEOlxleHBfMTI4 NVxESUFcRnJhZ3BpcGVfb3V0cHV0XGRpYW5uLW91dHB1dF0NCkQ6XE1TRnJhZ2dlclxGcmFn cGlwZS0yMi4wXGpyZVxiaW5camF2YS5leGUgLWNwIEQ6XE1TRnJhZ2dlclxGcmFncGlwZS0y Mi4wXGxpYlxjb21tb25zLWlvLTIuMTUuMS5qYXI7RDpcTVNGcmFnZ2VyXEZyYWdwaXBlLTIy LjBcbGliXGZyYWdwaXBlLTIyLjAuamFyO0Q6XE1TRnJhZ2dlclxGcmFncGlwZS0yMi4wXGxp YlxmcmFncGlwZS0yMi4wLmphciBjb20uZG10YXZ0LmZyYWdwaXBlLnRvb2xzLmRpYW5uLkRp YW5uVG9Nc3N0YXRzIHJlcG9ydC50c3YgLi8gRDpcZXhwXzEyODVcRElBXEZyYWdwaXBlX291 dHB1dFxwc20udHN2IDAuMDEgMSAwLjAxIDAuMDEgRDpcZXhwXzEyODVcRElBXEZyYWdwaXBl X291dHB1dFxmcmFncGlwZS1maWxlcy5mcC1tYW5pZmVzdA0KU2t5bGluZSBbV29yayBkaXI6 IEQ6XGV4cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXRdDQpEOlxNU0ZyYWdnZXJcRnJhZ3Bp cGUtMjIuMFxqcmVcYmluXGphdmEuZXhlIC1YbXgzMDVHIC1jcCBEOlxNU0ZyYWdnZXJcRnJh Z3BpcGUtMjIuMFx0b29sc1xiYXRtYXNzLWlvLTEuMzMuNC5qYXI7RDpcTVNGcmFnZ2VyXEZy YWdwaXBlLTIyLjBcbGliXGNvbW1vbnMtbGFuZzMtMy4xNC4wLmphcjtEOlxNU0ZyYWdnZXJc RnJhZ3BpcGUtMjIuMFxsaWJcZnJhZ3BpcGUtMjIuMC5qYXI7RDpcTVNGcmFnZ2VyXEZyYWdw aXBlLTIyLjBcbGliXG1hdmVuLWFydGlmYWN0LTMuOS42LmphcjtEOlxNU0ZyYWdnZXJcRnJh Z3BpcGUtMjIuMFxsaWJcZnJhZ3BpcGUtMjIuMC5qYXIgY29tLmRtdGF2dC5mcmFncGlwZS50 b29scy5za3lsaW5lLlNreWxpbmUgRDpcTVNGcmFnZ2VyXEZyYWdwaXBlLTIyLjBcdG9vbHNc U2t5bGluZVJ1bm5lci5leGUgRDpcZXhwXzEyODVcRElBXEZyYWdwaXBlX291dHB1dCAyMi4y LjAuMzUxIDAgMA0Kfn5+fn5+fn5+fn5+fn5+fn5+fn5+fg0KDQpFeGVjdXRpb24gb3JkZXI6 DQoNCiAgICBDbWQ6IFtTVEFSVF0sIFdvcmsgZGlyOiBbRDpcZXhwXzEyODVcRElBXEZyYWdw aXBlX291dHB1dF0NCiAgICBDbWQ6IFtDaGVja0NlbnRyb2lkXSwgV29yayBkaXI6IFtEOlxl eHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XQ0KICAgIENtZDogW1dvcmtzcGFjZUNsZWFu SW5pdF0sIFdvcmsgZGlyOiBbRDpcZXhwXzEyODVcRElBXEZyYWdwaXBlX291dHB1dF0NCiAg ICBDbWQ6IFtkaWFUcmFjZXJdLCBXb3JrIGRpcjogW0Q6XGV4cF8xMjg1XERJQVxGcmFncGlw ZV9vdXRwdXRdDQogICAgQ21kOiBbTVNGcmFnZ2VyXSwgV29yayBkaXI6IFtEOlxleHBfMTI4 NVxESUFcRnJhZ3BpcGVfb3V0cHV0XQ0KICAgIENtZDogW01TQm9vc3Rlcl0sIFdvcmsgZGly OiBbRDpcZXhwXzEyODVcRElBXEZyYWdwaXBlX291dHB1dF0NCiAgICBDbWQ6IFtQZXJjb2xh dG9yXSwgV29yayBkaXI6IFtEOlxleHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XQ0KICAg IENtZDogW1BUTVByb3BoZXRdLCBXb3JrIGRpcjogW0Q6XGV4cF8xMjg1XERJQVxGcmFncGlw ZV9vdXRwdXRdDQogICAgQ21kOiBbUHJvdGVpblByb3BoZXRdLCBXb3JrIGRpcjogW0Q6XGV4 cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXRdDQogICAgQ21kOiBbUGhpbG9zb3BoZXJEYkFu bm90YXRlXSwgV29yayBkaXI6IFtEOlxleHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XQ0K ICAgIENtZDogW1BoaWxvc29waGVyRmlsdGVyXSwgV29yayBkaXI6IFtEOlxleHBfMTI4NVxE SUFcRnJhZ3BpcGVfb3V0cHV0XQ0KICAgIENtZDogW1BoaWxvc29waGVyUmVwb3J0XSwgV29y ayBkaXI6IFtEOlxleHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XQ0KICAgIENtZDogW1dv cmtzcGFjZUNsZWFuXSwgV29yayBkaXI6IFtEOlxleHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0 cHV0XQ0KICAgIENtZDogW1NwZWNMaWJHZW5dLCBXb3JrIGRpcjogW0Q6XGV4cF8xMjg1XERJ QVxGcmFncGlwZV9vdXRwdXRdDQogICAgQ21kOiBbRElBLU5OXSwgV29yayBkaXI6IFtEOlxl eHBfMTI4NVxESUFcRnJhZ3BpcGVfb3V0cHV0XQ0KICAgIENtZDogW1NreWxpbmVdLCBXb3Jr IGRpcjogW0Q6XGV4cF8xMjg1XERJQVxGcmFncGlwZV9vdXRwdXRdDQoNCn5+fn5+fn5+fn5+ fn5+fn5+fn5+fn4NCg0Kfn5+fn5+U2FtcGxlIG9mIEQ6XEZBU1RBXDIwMjEtMDItMDItZGVj b3lzLXJldmlld2VkLWNvbnRhbS1VUDAwMDAwNTY0MC5mYXN+fn5+fn5+DQo+cmV2X3NwfEEw QTAyNFJCRzF8TlVENEJfSFVNQU4gRGlwaG9zcGhvaW5vc2l0b2wgcG9seXBob3NwaGF0ZSBw aG9zcGhvaHlkcm9sYXNlIE5VRFQ0QiBPUz1Ib21vIHNhcGllbnMgT1g9OTYwNiBHTj1OVURU NEIgUEU9MyBTVj0xDQo+cmV2X3NwfE82MDIzNXxUTTExRF9IVU1BTiBUcmFuc21lbWJyYW5l IHByb3RlYXNlIHNlcmluZSAxMUQgT1M9SG9tbyBzYXBpZW5zIE9YPTk2MDYgR049VE1QUlNT MTFEIFBFPTEgU1Y9MQ0KPnJldl9zcHxQMERURTB8VDJSMzZfSFVNQU4gUHV0YXRpdmUgdGFz dGUgcmVjZXB0b3IgdHlwZSAyIG1lbWJlciAzNiBPUz1Ib21vIHNhcGllbnMgT1g9OTYwNiBH Tj1UQVMyUjM2IFBFPTUgU1Y9MQ0KPnJldl9zcHxQNTEwMDN8UEFQT0FfSFVNQU4gUG9seShB KSBwb2x5bWVyYXNlIGFscGhhIE9TPUhvbW8gc2FwaWVucyBPWD05NjA2IEdOPVBBUE9MQSBQ RT0xIFNWPTQNCj5yZXZfc3B8UTE0NTc0fERTQzNfSFVNQU4gRGVzbW9jb2xsaW4tMyBPUz1I b21vIHNhcGllbnMgT1g9OTYwNiBHTj1EU0MzIFBFPTEgU1Y9Mw0KPnJldl9zcHxRNkdRUTl8 T1RVN0JfSFVNQU4gT1RVIGRvbWFpbi1jb250YWluaW5nIHByb3RlaW4gN0IgT1M9SG9tbyBz YXBpZW5zIE9YPTk2MDYgR049T1RVRDdCIFBFPTEgU1Y9MQ0KPnJldl9zcHxROElYTDZ8RkEy MENfSFVNQU4gRXh0cmFjZWxsdWxhciBzZXJpbmUvdGhyZW9uaW5lIHByb3RlaW4ga2luYXNl IEZBTTIwQyBPUz1Ib21vIHNhcGllbnMgT1g9OTYwNiBHTj1GQU0yMEMgUEU9MSBTVj0yDQo+ cmV2X3NwfFE4V1dOOXxJQ0VGMV9IVU1BTiBJbnRlcmFjdG9yIHByb3RlaW4gZm9yIGN5dG9o ZXNpbiBleGNoYW5nZSBmYWN0b3JzIDEgT1M9SG9tbyBzYXBpZW5zIE9YPTk2MDYgR049SVBD RUYxIFBFPTEgU1Y9MQ0KPnJldl9zcHxROUJTOTJ8TlBTM0JfSFVNQU4gUHJvdGVpbiBOaXBT bmFwIGhvbW9sb2cgM0IgT1M9SG9tbyBzYXBpZW5zIE9YPTk2MDYgR049TklQU05BUDNCIFBF PTIgU1Y9MQ0KPnJldl9zcHxROU5WSTd8QVREM0FfSFVNQU4gQVRQYXNlIGZhbWlseSBBQUEg ZG9tYWluLWNvbnRhaW5pbmcgcHJvdGVpbiAzQSBPUz1Ib21vIHNhcGllbnMgT1g9OTYwNiBH Tj1BVEFEM0EgUEU9MSBTVj0yDQo+cmV2X3NwfFE5WTZaN3xDT0wxMF9IVU1BTiBDb2xsZWN0 aW4tMTAgT1M9SG9tbyBzYXBpZW5zIE9YPTk2MDYgR049Q09MRUMxMCBQRT0xIFNWPTINCj5z cHxPNjAyMTh8QUsxQkFfSFVNQU4gQWxkby1rZXRvIHJlZHVjdGFzZSBmYW1pbHkgMSBtZW1i ZXIgQjEwIE9TPUhvbW8gc2FwaWVucyBPWD05NjA2IEdOPUFLUjFCMTAgUEU9MSBTVj0yDQo+ c3B8UDBEUFIzfFRSREQxX0hVTUFOIFQgY2VsbCByZWNlcHRvciBkZWx0YSBkaXZlcnNpdHkg MSBPUz1Ib21vIHNhcGllbnMgT1g9OTYwNiBHTj1UUkREMSBQRT0xIFNWPTENCj5zcHxQNTA4 NzZ8UjE0NEFfSFVNQU4gRTMgdWJpcXVpdGluLXByb3RlaW4gbGlnYXNlIFJORjE0NEEgT1M9 SG9tbyBzYXBpZW5zIE9YPTk2MDYgR049Uk5GMTQ0QSBQRT0xIFNWPTINCj5zcHxRMTQ1NTh8 S1BSQV9IVU1BTiBQaG9zcGhvcmlib3N5bCBweXJvcGhvc3BoYXRlIHN5bnRoYXNlLWFzc29j aWF0ZWQgcHJvdGVpbiAxIE9TPUhvbW8gc2FwaWVucyBPWD05NjA2IEdOPVBSUFNBUDEgUEU9 MSBTVj0yDQo+c3B8UTZGSUYwfFpGQU42X0hVTUFOIEFOMS10eXBlIHppbmMgZmluZ2VyIHBy b3RlaW4gNiBPUz1Ib21vIHNhcGllbnMgT1g9OTYwNiBHTj1aRkFORDYgUEU9MSBTVj0yDQo+ c3B8UThJWEg3fE5FTEZEX0hVTUFOIE5lZ2F0aXZlIGVsb25nYXRpb24gZmFjdG9yIEMvRCBP Uz1Ib21vIHNhcGllbnMgT1g9OTYwNiBHTj1ORUxGQ0QgUEU9MSBTVj0yDQo+c3B8UThXV0k1 fENUTDFfSFVNQU4gQ2hvbGluZSB0cmFuc3BvcnRlci1saWtlIHByb3RlaW4gMSBPUz1Ib21v IHNhcGllbnMgT1g9OTYwNiBHTj1TTEM0NEExIFBFPTEgU1Y9MQ0KPnNwfFE5QlMxNnxDRU5Q S19IVU1BTiBDZW50cm9tZXJlIHByb3RlaW4gSyBPUz1Ib21vIHNhcGllbnMgT1g9OTYwNiBH Tj1DRU5QSyBQRT0xIFNWPTENCj5zcHxROU5WRjd8RkJYMjhfSFVNQU4gRi1ib3ggb25seSBw cm90ZWluIDI4IE9TPUhvbW8gc2FwaWVucyBPWD05NjA2IEdOPUZCWE8yOCBQRT0xIFNWPTEN Cj5zcHxROVk2WDl8TU9SQzJfSFVNQU4gQVRQYXNlIE1PUkMyIE9TPUhvbW8gc2FwaWVucyBP WD05NjA2IEdOPU1PUkMyIFBFPTEgU1Y9Mg0Kfn5+fn5+fn5+fn5+fn5+fn5+fn5+fg0KDQp+ fn5+fn5+fn4gZnJhZ3BpcGUuY29uZmlnIH5+fn5+fn5+fg0KIyBGcmFnUGlwZSB2MjIuMHVp IHN0YXRlIGNhY2hlDQoNCg0KIyBQbGVhc2UgZWRpdCB0aGUgZm9sbG93aW5nIHBhdGggdG8g cG9pbnQgdG8gdGhlIGNvcnJlY3QgbG9jYXRpb24uDQojIEluIFdpbmRvd3MsIHBsZWFzZSBy ZXBsYWNlIHNpbmdsZSAnXCcgd2l0aCAnXFwnDQpkYXRhYmFzZS5kYi1wYXRoPURcOlxcRkFT VEFcXDIwMjEtMDItMDItZGVjb3lzLXJldmlld2VkLWNvbnRhbS1VUDAwMDAwNTY0MC5mYXMN Cg0KVGFibGUuZWRpdG9yPTAuOTg0MDE2DQpjcnlzdGFsYy5ydW4tY3J5c3RhbGM9ZmFsc2UN CmRhdGFiYXNlLmRlY295LXRhZz1yZXZfDQpkaWFubi5mcmFncGlwZS5jbWQtb3B0cz0NCmRp YW5uLmdlbmVyYXRlLW1zc3RhdHM9dHJ1ZQ0KZGlhbm4uaGVhdnk9DQpkaWFubi5saWJyYXJ5 PQ0KZGlhbm4ubGlnaHQ9DQpkaWFubi5tZWRpdW09DQpkaWFubi5xLXZhbHVlPTAuMDENCmRp YW5uLnF1YW50aWZpY2F0aW9uLXN0cmF0ZWd5PTMNCmRpYW5uLnF1YW50aWZpY2F0aW9uLXN0 cmF0ZWd5LTI9UXVhbnRVTVMgKGhpZ2ggYWNjdXJhY3kpDQpkaWFubi5ydW4tZGlhLW5uPXRy dWUNCmRpYW5uLnJ1bi1kaWEtcGxleD1mYWxzZQ0KZGlhbm4ucnVuLXNwZWNpZmljLXByb3Rl aW4tcS12YWx1ZT1mYWxzZQ0KZGlhbm4udW5yZWxhdGVkLXJ1bnM9ZmFsc2UNCmRpYW5uLnVz ZS1wcmVkaWN0ZWQtc3BlY3RyYT1mYWxzZQ0KZGlhdHJhY2VyLmNvcnItdGhyZXNob2xkPTAu Mw0KZGlhdHJhY2VyLmRlbHRhLWFwZXgtaW09MC4wMQ0KZGlhdHJhY2VyLmRlbHRhLWFwZXgt cnQ9Mw0KZGlhdHJhY2VyLm1hc3MtZGVmZWN0LWZpbHRlcj1mYWxzZQ0KZGlhdHJhY2VyLm1h c3MtZGVmZWN0LW9mZnNldD0wLjENCmRpYXRyYWNlci5yZi1tYXg9NTAwDQpkaWF0cmFjZXIu cnVuLWRpYXRyYWNlcj10cnVlDQpkaWF0cmFjZXIud3JpdGUtaW50ZXJtZWRpYXRlLWZpbGVz PWZhbHNlDQpkaWF1bXBpcmUuQWRqdXN0RnJhZ0ludGVuc2l0eT10cnVlDQpkaWF1bXBpcmUu Qm9vc3RDb21wbGVtZW50YXJ5SW9uPWZhbHNlDQpkaWF1bXBpcmUuQ29yclRocmVzaG9sZD0w DQpkaWF1bXBpcmUuRGVsdGFBcGV4PTAuMg0KZGlhdW1waXJlLkV4cG9ydFByZWN1cnNvclBl YWs9ZmFsc2UNCmRpYXVtcGlyZS5RMT10cnVlDQpkaWF1bXBpcmUuUTI9dHJ1ZQ0KZGlhdW1w aXJlLlEzPXRydWUNCmRpYXVtcGlyZS5SRm1heD01MDANCmRpYXVtcGlyZS5SUG1heD0yNQ0K ZGlhdW1waXJlLlJUT3ZlcmxhcD0wLjMNCmRpYXVtcGlyZS5TRS5Fc3RpbWF0ZUJHPWZhbHNl DQpkaWF1bXBpcmUuU0UuSXNvUGF0dGVybj0wLjMNCmRpYXVtcGlyZS5TRS5NUzFQUE09MTAN CmRpYXVtcGlyZS5TRS5NUzJQUE09MjANCmRpYXVtcGlyZS5TRS5NUzJTTj0xLjENCmRpYXVt cGlyZS5TRS5NYXNzRGVmZWN0RmlsdGVyPXRydWUNCmRpYXVtcGlyZS5TRS5NYXNzRGVmZWN0 T2Zmc2V0PTAuMQ0KZGlhdW1waXJlLlNFLk5vTWlzc2VkU2Nhbj0xDQpkaWF1bXBpcmUuU0Uu U049MS4xDQpkaWF1bXBpcmUucnVuLWRpYXVtcGlyZT1mYWxzZQ0KZnBvcC5mcG9wLXRtdD1m YWxzZQ0KZnBvcC5sYWJlbF9jb250cm9sPQ0KZnBvcC5sYWJlbF9mcG9wPQ0KZnBvcC5yZWdp b25fc2l6ZT0xDQpmcG9wLnJ1bi1mcG9wPWZhbHNlDQpmcG9wLnN1YnRyYWN0LWNvbnRyb2w9 ZmFsc2UNCmZyYWdwaXBlLWNvbmZpZy5iaW4tZGlhbm49RFw6XFxNU0ZyYWdnZXJcXEZyYWdw aXBlLTIyLjBcXHRvb2xzXFxkaWFublxcMS44LjJfYmV0YV84XFx3aW5cXERpYU5OLmV4ZQ0K ZnJhZ3BpcGUtY29uZmlnLmJpbi1pb25xdWFudD1EXDpcXE1TRnJhZ2dlclxcRnJhZ1BpcGUt MjEuMVxcdG9vbHNcXElvblF1YW50LTEuMTAuMjcuamFyDQpmcmFncGlwZS1jb25maWcuYmlu LW1zZnJhZ2dlcj1EXDpcXE1TRnJhZ2dlclxcRnJhZ1BpcGUtMjEuMVxcdG9vbHNcXE1TRnJh Z2dlci00LjFcXE1TRnJhZ2dlci00LjEuamFyDQpmcmFncGlwZS1jb25maWcuYmluLXBoaWxv c29waGVyPURcOlxcTVNGcmFnZ2VyXFxGcmFnUGlwZS0yMC4wXFxmcmFncGlwZVxcdG9vbHNc XHBoaWxvc29waGVyX3Y1LjEuMF93aW5kb3dzX2FtZDY0XFxwaGlsb3NvcGhlci5leGUNCmZy YWdwaXBlLWNvbmZpZy5iaW4tcHl0aG9uPURcOlxcTVNGcmFnZ2VyXFxBbmFjb25kYVxccHl0 aG9uLmV4ZQ0KZnJhZ3BpcGUtY29uZmlnLnRvb2xzLWZvbGRlcj1EXDpcXE1TRnJhZ2dlclxc RnJhZ3BpcGUtMjIuMFxcbGliXFwuLlxcdG9vbHMNCmZyZWVxdWFudC5tei10b2w9MTANCmZy ZWVxdWFudC5ydC10b2w9MC40DQpmcmVlcXVhbnQucnVuLWZyZWVxdWFudD1mYWxzZQ0KaW9u cXVhbnQuZXhjbHVkZW1vZHM9DQppb25xdWFudC5oZWF2eT0NCmlvbnF1YW50LmltdG9sPTAu MDUNCmlvbnF1YW50LmlvbmZkcj0wLjAxDQppb25xdWFudC5saWdodD0NCmlvbnF1YW50Lmxv Y3Byb2I9MC43NQ0KaW9ucXVhbnQubWF4bGZxPTENCmlvbnF1YW50Lm1icj0wDQppb25xdWFu dC5tYnJpbXRvbD0wLjA1DQppb25xdWFudC5tYnJtaW5jb3JyPTANCmlvbnF1YW50Lm1icnJ0 dG9sPTENCmlvbnF1YW50Lm1icnRvcHJ1bj0xMA0KaW9ucXVhbnQubWVkaXVtPQ0KaW9ucXVh bnQubWluZXhwcz0xDQppb25xdWFudC5taW5mcmVxPTANCmlvbnF1YW50Lm1pbmlvbnM9MQ0K aW9ucXVhbnQubWluaXNvdG9wZXM9MQ0KaW9ucXVhbnQubWluc2NhbnM9Mw0KaW9ucXVhbnQu bXp0b2w9MTANCmlvbnF1YW50Lm5vcm1hbGl6YXRpb249MQ0KaW9ucXVhbnQucGVwdGlkZWZk cj0xDQppb25xdWFudC5wcm90ZWluZmRyPTENCmlvbnF1YW50LnByb3RlaW5xdWFudD0yDQpp b25xdWFudC5yZXF1YW50aWZ5PTENCmlvbnF1YW50LnJ0dG9sPTAuNA0KaW9ucXVhbnQucnVu LWlvbnF1YW50PXRydWUNCmlvbnF1YW50LnRwPTANCmlvbnF1YW50LnVuaXF1ZW5lc3M9MA0K aW9ucXVhbnQudXNlLWxhYmVsaW5nPWZhbHNlDQppb25xdWFudC51c2UtbGZxPXRydWUNCmlv bnF1YW50LndyaXRlaW5kZXg9MA0KbXNib29zdGVyLmZpbmQtYmVzdC1ydC1tb2RlbD1mYWxz ZQ0KbXNib29zdGVyLmZpbmQtYmVzdC1zcGVjdHJhLW1vZGVsPWZhbHNlDQptc2Jvb3N0ZXIu a29pbmEtdXJsPQ0KbXNib29zdGVyLnByZWRpY3QtcnQ9dHJ1ZQ0KbXNib29zdGVyLnByZWRp Y3Qtc3BlY3RyYT10cnVlDQptc2Jvb3N0ZXIucnQtbW9kZWw9RElBLU5ODQptc2Jvb3N0ZXIu cnVuLW1zYm9vc3Rlcj10cnVlDQptc2Jvb3N0ZXIuc3BlY3RyYS1tb2RlbD1ESUEtTk4NCm1z Ym9vc3Rlci51c2UtY29ycmVsYXRlZC1mZWF0dXJlcz1mYWxzZQ0KbXNmcmFnZ2VyLllfdHlw ZV9tYXNzZXM9DQptc2ZyYWdnZXIuYWN0aXZhdGlvbl90eXBlcz1hbGwNCm1zZnJhZ2dlci5h ZGRfdG9wTl9jb21wbGVtZW50YXJ5PTANCm1zZnJhZ2dlci5hbGxvd2VkX21pc3NlZF9jbGVh dmFnZV8xPTINCm1zZnJhZ2dlci5hbGxvd2VkX21pc3NlZF9jbGVhdmFnZV8yPTINCm1zZnJh Z2dlci5hbmFseXplcl90eXBlcz1hbGwNCm1zZnJhZ2dlci5jYWxpYnJhdGVfbWFzcz0yDQpt c2ZyYWdnZXIuY2hlY2tfc3BlY3RyYWxfZmlsZXM9ZmFsc2UNCm1zZnJhZ2dlci5jbGlwX25U ZXJtX009dHJ1ZQ0KbXNmcmFnZ2VyLmRhdGFfdHlwZT0wDQptc2ZyYWdnZXIuZGVpc290b3Bl PTENCm1zZnJhZ2dlci5kZWx0YV9tYXNzX2V4Y2x1ZGVfcmFuZ2VzPSgtMS41LDMuNSkNCm1z ZnJhZ2dlci5kZW5ldXRyYWxsb3NzPTENCm1zZnJhZ2dlci5kaWFnbm9zdGljX2ZyYWdtZW50 cz0NCm1zZnJhZ2dlci5kaWFnbm9zdGljX2ludGVuc2l0eV9maWx0ZXI9MA0KbXNmcmFnZ2Vy LmRpZ2VzdF9tYXhfbGVuZ3RoPTUwDQptc2ZyYWdnZXIuZGlnZXN0X21pbl9sZW5ndGg9Nw0K bXNmcmFnZ2VyLmZyYWdtZW50X2lvbl9zZXJpZXM9Yix5DQptc2ZyYWdnZXIuZnJhZ21lbnRf bWFzc190b2xlcmFuY2U9MjANCm1zZnJhZ2dlci5mcmFnbWVudF9tYXNzX3VuaXRzPTENCm1z ZnJhZ2dlci5ncm91cF92YXJpYWJsZT0wDQptc2ZyYWdnZXIuaW50ZW5zaXR5X3RyYW5zZm9y bT0wDQptc2ZyYWdnZXIuaW9uX3Nlcmllc19kZWZpbml0aW9ucz0NCm1zZnJhZ2dlci5pc290 b3BlX2Vycm9yPTAvMS8yDQptc2ZyYWdnZXIubGFiaWxlX3NlYXJjaF9tb2RlPW9mZg0KbXNm cmFnZ2VyLmxvY2FsaXplX2RlbHRhX21hc3M9ZmFsc2UNCm1zZnJhZ2dlci5tYXNzX2RpZmZf dG9fdmFyaWFibGVfbW9kPTANCm1zZnJhZ2dlci5tYXNzX29mZnNldHM9MC4wDQptc2ZyYWdn ZXIubWFzc19vZmZzZXRzX2RldGFpbGVkPQ0KbXNmcmFnZ2VyLm1heF9mcmFnbWVudF9jaGFy Z2U9Mg0KbXNmcmFnZ2VyLm1heF92YXJpYWJsZV9tb2RzX2NvbWJpbmF0aW9ucz01MDAwDQpt c2ZyYWdnZXIubWF4X3ZhcmlhYmxlX21vZHNfcGVyX3BlcHRpZGU9Mw0KbXNmcmFnZ2VyLm1p bl9mcmFnbWVudHNfbW9kZWxsaW5nPTINCm1zZnJhZ2dlci5taW5fbWF0Y2hlZF9mcmFnbWVu dHM9NA0KbXNmcmFnZ2VyLm1pbl9zZXF1ZW5jZV9tYXRjaGVzPTINCm1zZnJhZ2dlci5taW5p bXVtX3BlYWtzPTE1DQptc2ZyYWdnZXIubWluaW11bV9yYXRpbz0wLjAwDQptc2ZyYWdnZXIu bWlzYy5mcmFnZ2VyLmNsZWFyLW16LWhpPTANCm1zZnJhZ2dlci5taXNjLmZyYWdnZXIuY2xl YXItbXotbG89MA0KbXNmcmFnZ2VyLm1pc2MuZnJhZ2dlci5kaWdlc3QtbWFzcy1oaT01MDAw DQptc2ZyYWdnZXIubWlzYy5mcmFnZ2VyLmRpZ2VzdC1tYXNzLWxvPTUwMA0KbXNmcmFnZ2Vy Lm1pc2MuZnJhZ2dlci5lbnp5bWUtZHJvcGRvd24tMT1zdHJpY3R0cnlwc2luDQptc2ZyYWdn ZXIubWlzYy5mcmFnZ2VyLmVuenltZS1kcm9wZG93bi0yPW51bGwNCm1zZnJhZ2dlci5taXNj LmZyYWdnZXIucHJlY3Vyc29yLWNoYXJnZS1oaT00DQptc2ZyYWdnZXIubWlzYy5mcmFnZ2Vy LnByZWN1cnNvci1jaGFyZ2UtbG89MQ0KbXNmcmFnZ2VyLm1pc2MuZnJhZ2dlci5yZW1vdmUt cHJlY3Vyc29yLXJhbmdlLWhpPTEuNQ0KbXNmcmFnZ2VyLm1pc2MuZnJhZ2dlci5yZW1vdmUt cHJlY3Vyc29yLXJhbmdlLWxvPS0xLjUNCm1zZnJhZ2dlci5taXNjLnNsaWNlLWRiPTENCm1z ZnJhZ2dlci5udW1fZW56eW1lX3Rlcm1pbmk9Mg0KbXNmcmFnZ2VyLm91dHB1dF9mb3JtYXQ9 cGVwWE1MX3Bpbg0KbXNmcmFnZ2VyLm91dHB1dF9tYXhfZXhwZWN0PTUwDQptc2ZyYWdnZXIu b3V0cHV0X3JlcG9ydF90b3BOPTENCm1zZnJhZ2dlci5vdXRwdXRfcmVwb3J0X3RvcE5fZGRh X3BsdXM9NQ0KbXNmcmFnZ2VyLm91dHB1dF9yZXBvcnRfdG9wTl9kaWExPTUNCm1zZnJhZ2dl ci5vdXRwdXRfcmVwb3J0X3RvcE5fZGlhMj0zDQptc2ZyYWdnZXIub3ZlcnJpZGVfY2hhcmdl PWZhbHNlDQptc2ZyYWdnZXIucHJlY3Vyc29yX21hc3NfbG93ZXI9LTEwDQptc2ZyYWdnZXIu cHJlY3Vyc29yX21hc3NfbW9kZT1zZWxlY3RlZA0KbXNmcmFnZ2VyLnByZWN1cnNvcl9tYXNz X3VuaXRzPTENCm1zZnJhZ2dlci5wcmVjdXJzb3JfbWFzc191cHBlcj0xMA0KbXNmcmFnZ2Vy LnByZWN1cnNvcl90cnVlX3RvbGVyYW5jZT0yMA0KbXNmcmFnZ2VyLnByZWN1cnNvcl90cnVl X3VuaXRzPTENCm1zZnJhZ2dlci5yZW1haW5kZXJfZnJhZ21lbnRfbWFzc2VzPQ0KbXNmcmFn Z2VyLnJlbW92ZV9wcmVjdXJzb3JfcGVhaz0xDQptc2ZyYWdnZXIucmVwb3J0X2FsdGVybmF0 aXZlX3Byb3RlaW5zPXRydWUNCm1zZnJhZ2dlci5yZXF1aXJlX3ByZWN1cnNvcj10cnVlDQpt c2ZyYWdnZXIucmVzdHJpY3RfZGVsdGFtYXNzX3RvPWFsbA0KbXNmcmFnZ2VyLnJldXNlX2Rp YV9mcmFnbWVudF9wZWFrcz1mYWxzZQ0KbXNmcmFnZ2VyLnJ1bi1tc2ZyYWdnZXI9dHJ1ZQ0K bXNmcmFnZ2VyLnNlYXJjaF9lbnp5bWVfY3V0XzE9S1INCm1zZnJhZ2dlci5zZWFyY2hfZW56 eW1lX2N1dF8yPQ0KbXNmcmFnZ2VyLnNlYXJjaF9lbnp5bWVfbmFtZT1zdHJpY3R0cnlwc2lu DQptc2ZyYWdnZXIuc2VhcmNoX2VuenltZV9uYW1lXzE9c3RyaWN0dHJ5cHNpbg0KbXNmcmFn Z2VyLnNlYXJjaF9lbnp5bWVfbmFtZV8yPW51bGwNCm1zZnJhZ2dlci5zZWFyY2hfZW56eW1l X25vY3V0XzE9DQptc2ZyYWdnZXIuc2VhcmNoX2VuenltZV9ub2N1dF8yPQ0KbXNmcmFnZ2Vy LnNlYXJjaF9lbnp5bWVfc2Vuc2VfMT1DDQptc2ZyYWdnZXIuc2VhcmNoX2VuenltZV9zZW5z ZV8yPUMNCm1zZnJhZ2dlci50YWJsZS5maXgtbW9kcz0wLjAsQy1UZXJtIFBlcHRpZGUsdHJ1 ZSwtMTsgMC4wLE4tVGVybSBQZXB0aWRlLHRydWUsLTE7IDAuMCxDLVRlcm0gUHJvdGVpbix0 cnVlLC0xOyAwLjAsTi1UZXJtIFByb3RlaW4sdHJ1ZSwtMTsgMC4wLEcgKGdseWNpbmUpLHRy dWUsLTE7IDAuMCxBIChhbGFuaW5lKSx0cnVlLC0xOyAwLjAsUyAoc2VyaW5lKSx0cnVlLC0x OyAwLjAsUCAocHJvbGluZSksdHJ1ZSwtMTsgMC4wLFYgKHZhbGluZSksdHJ1ZSwtMTsgMC4w LFQgKHRocmVvbmluZSksdHJ1ZSwtMTsgNTcuMDIxNDYsQyAoY3lzdGVpbmUpLHRydWUsLTE7 IDAuMCxMIChsZXVjaW5lKSx0cnVlLC0xOyAwLjAsSSAoaXNvbGV1Y2luZSksdHJ1ZS

fcyu commented 3 months ago

Hi Hannes,

Can you go to https://github.com/Nesvilab/FragPipe/issues/1606 and upload your log file there?

Thanks.

Fengchao

hcadre commented 3 months ago

Done! log_2024-06-17_15-50-48.txt Hannes

fcyu commented 3 months ago

I think it is because the Pandas package is too old. Could run the following command to upgrade it

pip uninstall pandas
pip install pandas>=1.5.0

Best,

Fengchao

hcadre commented 3 months ago

Re-installed Pandas package. Now version 2.2.2 is available:

Still the same error, no matter whether DIA_Speclib_Quant_diaPASEF or DIA_Speclib_Quant_Phospho_diaPASEF workflow is loaded:

log file is attached:

log_2024-06-19_14-23-40.txt

Best,

Hannes

fcyu commented 3 months ago

Thanks for the testing. I will let @guoci take a look. Maybe pandas version 2.2.2 is too new?

Thanks,

Fengchao

fcyu commented 3 months ago

@guoci , any idea about this one?

Thanks,

Fengchao

guoci commented 3 months ago

@hcadre I think you might have installed on to a different python. Can you show the full output of pip show pandas? There should be a Location: field after the License: field, like this:

$ pip show pandas
Name: pandas
Version: 2.0.3
Summary: Powerful data structures for data analysis, time series, and statistics
Home-page: 
Author: 
Author-email: The Pandas Development Team <pandas-dev@python.org>
License: BSD 3-Clause License

Copyright (c) 2008-2011, AQR Capital Management, LLC, Lambda Foundry, Inc. and PyData Development Team
All rights reserved.

Copyright (c) 2011-2023, Open source contributors.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
  list of conditions and the following disclaimer.

* Redistributions in binary form must reproduce the above copyright notice,
  this list of conditions and the following disclaimer in the documentation
  and/or other materials provided with the distribution.

* Neither the name of the copyright holder nor the names of its
  contributors may be used to endorse or promote products derived from
  this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Location: /home/ci/anaconda3/lib/python3.11/site-packages
Requires: numpy, numpy, python-dateutil, pytz, tzdata
Required-by: altair, bokeh, datasets, datashader, holoviews, hvplot, panel, seaborn, statsmodels, streamlit, xarray

That location should start with: D:\MSFragger\Anaconda\

fcyu commented 2 months ago

No response.

Nesvilab / FragPipe

Fragpipe v22.0 error with DIA-PASEF file #1606