LibreOffice/7.6.0.3$Windows_X86_64 LibreOffice_project/69edd8b8ebc41d00b4de3915dc82f8f0fc3b6265Laurent BARONTINI2026-07-07T11:58:00Z2026-07-21T21:22:26.7670000005PT17M22S 0 0 31159 15071 true false view2 1401 13862 0 0 31157 15069 0 0 false 140 false false true true false false true true false false false true 1 true false false true false false false false 0 false true true false false false 0 true high-resolution false false false false true false false true false false true true false true false false true true false false false false false false false false false 2292909 2065993 false false false false false false true true false true true false false false false false true false true false false false false false false 0 true false false true 0 true false true true true true false false false false false true false true false iVBORw0KGgoAAAANSUhEUgAAALoAAAA3CAYAAAC7IFD3AAAgAElEQVR4nO19e3xcVbX/d629 z5lJ06ZNHxT6SjIJRYKA3ipexStRHteKPPqYpgUREH4FRKs8SnkpAXljQQtcEV/IFaQEKA9B L/DDiuL1qvUqQoGSTJLS8uorTZtkZs7Za/3+ODOZmSQtLaT8RPL9fObT9Mw6e+2zzzr7rPcA wxjGMIYxjH8OmHeN06yLP4gDPxJi9R963zWewxhGDvyucFlw3nhrzR3WxZe8K/yGMYx+eFcE nZ2/UP3YDCKzKPb5Jce8GzyHMYxi7HnVZfZ5VcSxZSRayTAWolVu5P7347VVmT3OexjDyGGP 7+hsy86CtTUIM9AwDWL+hL/X6LP3NN9hDKMYe1bQG7/xUXh0BsRF/1cB2IKI/xVoenfsg2EM A3tS0JNNPllcABsfgzDMcbOAC3oAvRlokj3GexjD6Ae7x0b2ws/D+LMQZgEoAIBsDJruvTf7 2PVP7DG+w3jPYcqU5NhYjA5WhXHObSov5+dXr27ODiWPPSPoX7pgFJw9H2wMsjmb0/jQMNMR BHLtHuH5D4sGC0ynhoY1unLldGpqmuSamobfZsXwPP4IoI8CbK2127JZXTF58qxz169fsent jZg0QCU3NExSYCW2bdtGe2hHHzGLjPl4n5AzAyAodBl+df1Le4bnriGROGFfIr0AkLEi0k3E fyUa0dza+pNXhprX1KnHTrJ2xNVAZ01Hx4RMItE54s47tzwO4Iqh5vVehqqSKixAADAKsF/0 PPo1gDt2d6xkMmn++MfYEmO6ZnZ0bO4F9gKw1x4Q9FOvnkAUnAcwINHGRcYHZTN/CbP6k2LS 6urk3s7JlFdeuf/PQz6PHUBV9iayJzB7I4gciPgkkfQJVVXJZEdHc9tQ8vK8keWAHmVt2T4i IZh9BMH2bUPJ458BRKSAOkCNqgMRgdlWv52xmptTXFu730etHfFJ59KIHh4aemOUObsI1j8o 0s0BEEMlVIV8G49eu6WUls7xff+nNTULJg71PHaEbNaFgPSIBMh/mM0MgD491LyYnRBpdzEv IvQMNZ/3OkTUEhlDZEFkweyBiN9BjEd7RbIQCQv3eOimC+DkK2ao9RdCXORKBAAvBhL5lctu fqiYNJFIHkhkTjImXk/kzhrSebw1tO8PVagqmKl8qJkQGX1rqmEYo12q8qJquEbVveRcuCYM 8fpQ8hg61eWUpjhi/A1Ysxd6cq8Ma4Aw2+1Ul+KR24t2sgZLxOczm32cy4DIfDmRaHw0lVr+ pyGbz25ChHbJQJwyJTnW97lW1cWNoU2+/3zL6tWrB/UQpNOS9jxyRIVjRAjeikdd3YkVquE0 VRkjkg2CwKxfv/6Bdbt6LaVosHV14/ZTFWpttS8Aza4fAe277wk1qsFEERjAeyOVursFRZvB 7qK29tSpzL2TnHMeEXdau67jpZee2aHKlkrhv+vr5aPOvUoAsGFDBW3ePDK9Mx7Tpp1QyYwq orCCiHqJsh2trSveBFYFwPQB9EMn6OX2TIJ3bGSAEgAFGQ+U7X0M9131FHB1H2lt7YRPEeEE 50IAAubYBNXs1wCchHewwEOFRKLxRIA/C4QhYHwAf06l7rkpkWg8lYjPIcLeqmwB6s5kPvRi Xd0Hv93Scu9/5c+vrj7xXz1PT3UuHAdgH5HoxakaQpU+VlMz/w5jeJuIuzmVWr4mf960aUdX WltxpohrZDYTAC6z1jpjtDORWPAHQJYNthlUVzfErZ34ZRGaAbgss2dE8GAQuL/5Pt3AHD9E JPOn+vrwpNWrsb1wXvIwZvt1AAcDtoIIDFBXIrHgf0Vw0fbtma0VFfFLiNwoVRHAWpHwz+3t zd8dbN1qaxtnqtLZRJn9VGkMkTVE6AnDqW8mEguaidI/ioSxFHV12C+dpq+qTjVEImPGGH/M mPD+VAqP9qfNrdFXAZlHROMAEydCIBLflEg0/jwMt99MhO7+5w2NoH/1W7WkdA4AigxQBUy0 mxPczQD1CW9d3cyYCJ9D5Fkg2ghVAxDRrGnT5h2+du29Tw7JnN4BVOkw349/wbkQzAZh2Ds9 kWjci4jOITIxVZejQyWzmaKKQxKJxgtTqeXfi0YI9gPiC40xcC4DQHL0AoCrrY1Vq4ZpIn0A wBoASCTmHcHsXQ7gEwVaQBUg4vFEpk7VzUwk5t/S3e3d8MYb/9l3M5ltDDDHel78MOeyYDYQ yYz1PMSJvMMBhSrWvPlmtGPW1ydHptN0MZH5MrMZrSrQgjJXyWyriMLpFRX8EDO+yBwbJSIw xkM22703gBJBHz9+9j4VFd5lAJ9sjI2rur7xVFFJZCYT4cOqI+bW1iavbG1tXlF8vghVM3tn RqlXAmYPzvWuB0oFvaZm/r8ZY64B6NDomgprxMwTVPlya0f+q6qOyt+jvjXaHQEYFE1gwCyB H5+GIG+AEmB9iOL74T3X/LaYXLW8kcjMFAmLjgmI7Ahr6RuJRHL0O57TO4aknctCJIMw7AWA DxLRhQBiIgEiwXBQDeFcBqqoIOKlNTXJIwHAWriIRpBzmRVBkf9OBA4AamqSc5ntcoA/ERlQ 0doQEYgIqg4iGRBhHLN32ahR4bJJk44ZkR+xq6tXRCQTzTmLMOwFkRwJ0OEiGYiEUNVgr70m ZYAZXibDNxkTuwjA6OicMHc90scLQD2RWSwSxsIwA5EsnMsCoJLdctKk5LSKCu8uY2JnABp3 Ls9PisbLG+L0L0Sxn1VXz1lUsiJKoUggkQEZfZDfBXOorp7fwEz3EfGh+fEKc5YczxBEZqYq Pjn0gr7lqiPJmpM0m0XfY+zFgCD7IiRcVjrZOR8g8i4kIpPf5QoXG4LZfgrAKe94TkMKBYC4 qoKIwWz7Pn0U0QKXEfFl1dUNcefMViKsBfRNLVlxgqqmieQ1ZtMGuM5p05L1RPYWgMeKpHOu NQMibFTV51S1FaDcLp0XGPuleLxscfEsIxddyREfUDAbMMdARCNWr94gVVX7LiTyTs8LSnSu BbMPIpO7Ng+5+2MB+DvSJuvrk348bq41Jvbp6IGPHmxmDxzlNPX9DSAnwDLCGP+mRGLemYMt 9GCork7uzazLiOxe0RtS+/hEnhrOXacF4NBftoB3KuhfXVYBtt+AsXG4fD4LA6ohO/dt3H1V R560oaHBMpsriez+IsX2WLTjRYukILLnT5my4KB3NK8hBlG0uzonD4VheKZzmUUi7mmiggcs elD5Q8wTPrJt29qVzunnRcJTiXgd5zxl0Y3Qp4Mg+zmRYN727ZzyfbrcGDtRJItoPOoVCa8P QzmGKPxMEGSOck5OUdUWokgAI18zf7W6OvmhHc05p/IAkPWqwRPM5r5EojJhjF4QjSHFc1rn XHaZc9kviQRniYT3q5J7K/Ho7aXjiXheJMCaewMZiLjfO+cWq8oXRLJXqOpqorywhyBiJqLL amuTdbuy/sx0KrN3YG6nBxGDiKHqVjoXLBFxJzkni1VlJcAg6v8Wfac6ut/9f2D8Q5EuSi33 YkCm93G3+vU7i0k7OibOYuZZzpUKORGgGhmvUVAlNsX3w6UTJx51/BtvPD7AqPj/AwMR+Wkm 0/3lV199pAcAqqqSv7CWH2H2Dig8uOQR8ZSNG5/53caNz/x9//1nb8xm/UxBfSEw85bW1uV/ BYDa2rmfUPX+XTVERMPOObm8vf3e64qYbwCQqqqa/6y1+giRmZwLPo0jki8A+CvRpAG7IRGr qrsHSH9z69Y3Xt+wYeX26ur5i4wx0wqqkYWqPKcanNrWVhy0W/ijqqquhcbojQD7g+2QQINl NguIjCmooQxAbw5Dvmzt2rv7YiZTpiT/0/PMnZ434uOSy2S1tnzvIOj5EoCLo1148IcqUtF0 VrSLa36dVMTdakzXJe3tv+zK09bVnXi7SHg5s/l6tKYFvH1BP/fKqWA+C9C+CCgMAy7IqIbf xarb+yS6vj45srcXXyEyrJpXvQhEyKjqDwGaS2QmRjpXAGY+fOTI0ck33tj9EPBQI7crpkXc nXkhB4COjua26up5f7TWHFBMLqJ9axoE3gj0u4Oq4hX+Nocw8yjVbH6HSgPUm0jM/Xzk6iuG y4jwm8xmcu5sMJuj6uqSE0aPTnV2dhZcatFYsjEI6OpXXnm4JX+cWQ+JdP68wFAgojeUCjkA 3B50dODWRKLx48z2RJGBgl5Ts884VTejwNMCcC1vvJG9cvv2FSWBwXXrmlsSieQFItlFIkLR GwWsis25s3eotpSVjUgAPEVzajGzhYj8zZiuK1paCkIOAC0td3VNm3bCFda6w4nsgcXC/vYF 3YstgvVq0d1TfAza270c2176v8Wk6TROYraHFhugxngQCR8VKTvfmJ40sznPOZczTA2pmq9P mZJ8Yt265vVve45DAgJAXcxue/9vmNE5gHqArrxTTAfypo0AwAhjsBSwZEypFUsEcU4of/Ny npKpYchTV61ataG2tlTQRbKb0mlqzx+rr0/6vb2YlleFc/psK7DtNzuanIhrBmgBEXNe1Snw 0KmqGJ+/3NzD9dT27QPdhwCQSjX/DsDvio+p5rUMph2p6CKyjzFmZLFhrypPtLT8csNg9GvX 3r2lrm7eYwAfqEVDvj0d/aKrDwXTGQiD/gboK9DwWjQXghLV1cdXE5lzidBngBJZiIRbndMb 2tvvSIeh3iriXo6MoEiPM8YeHIvxux0x3QF0B8K7W0I9yKg6qv+ARNYye4bZ4+IPkWeN8Uxk 3Hk5oxFjiKT/GPmBSiQzm/XjgJQVX4mIbtq6Vbf0PzePMKTXiLRnoOcIIJJRRANypQYV8h2B 6K1jJkQaUy28JVUVIu6NnZ0TfV869O7v6E1NcQTeN2H8Udie2+TYRG6w0C3DD698oZic2V9E ZOsKhkT09DsX/rC9/d4/AJEakEjMuxHg7+VfrSIOqvhKdfVxj7S3P/Q/uz3PdwU6UAJ2A0RS 9JYgAJpRDZ9ThUQrVcJLATjV6DiRM5Hhig1RWuoAalJ9tW+Mlpby3pqabE9kEwGR8cgTRo8u q9y8GV39zwcA39cpAJcNpqM7l93C7AcAFalimLJbC5CPLO4cvUQUqKIs8rEzrKXqnZ2gamv6 P5y7L+hh/GR49qjIAM3N0/ehvekVIPmPYtJEIvlJInN6sYct2s2Dl4JAbyqmFXnzDuaJc5i9 I1SzUHVg9ker4pIZMxbOWVWk8/+zQERfYI705dw7PAMEi7dv3/7HsrIRfQJkbUbCsDfLbGOd nZ4CwMiRbIDRWLv2gK0TJjw/YgcsinB7QNSYAuhTEW8HZlNHRLMB3DSQfmYMMKcQsckbkKVz DzqY42sB/kDBE4Qjq6oa9+/oWP5Cf/ra2saZAJ+ZM+iE2cac09+mUndfB4gO9taIoGtVZStA FQByLlHz2aqqWft3dKwYwKemJrkfER/7zvzol3y7CuwtBhlEdaAKeD4QBK8iDC7F7U19CvvE iUeVA+ZCZjuq4K+lvBJwXX/du719Zdq54GpV6cq77VRDGGNmbt68dcFuzfM9A35a1b3JbPK2 SYWqd1ZZ2STX3v5gZ/7T0vLLLua9T7B2n6WVlWOWVlZWLo3FRi9llulAkxTv3DsH/TbanaMN SlWZKHZxVdUJpwEz+h6s2tqT9kokRn+HiI/p773IY+3aRzuJ8GThXjkQ8WRr+Ud1dcnDimkT iflHA+Z7zN6xRPZ4Zm82kXf04N6cUkybtqlNRFbn+Yg4EHGdMf5tVVVzPlxMW1NzwiHM5sfM XNVf0HdvR/fpNPhltejKvXGJAWNBmcwd+v2m1cWkZWVjjgTos8U+cyIfqtk/APLAYMN3dDyw sqZm/kPWeicVDFNrjZGzJ0+e9ejbrzj5x0R7+wHPJhIvPMVs5wNhbpe1SaCX6+rm/UBVWzMZ lPk+zyWiSwHmKKjjw7neTcy6W9VaRGVPiHSvY/am5ANGRGa8tbgtkUjMAfb7DeBiqsHnmM3H otycHWoW6py7zxg6ncjEowhoCGbv46r8YE3NvPuYzcuq8gEimgtgVJQfrmCOwbme9el05u5o qB0boytXrgwTicaHAfx7/gHN8fkUET8cfWfWAlJNpLOJzF6lcZoch11epSuWHgw2ZyII0Dcp zweCzGrxcFsxaXX18WOMocXMxuSt9VwgoVtErkmlmrfuaPGAzFKR4NV8NE01AGAOsdY7ZZfn +p5BkwBytUjwCrOPwk00c1T5MVXzjO/Tb4nMNwHlMOyBqoNz6ayqLipOCNsVRFVUfGOkKuUT zRwAtcz+TGZcy2wuJ+KPRSH1nY/X3t78W1X3vXx0EgAiIaMxxninE9F1zPZUQEfl3wxRNFO2 E9HFr7760C5Vdfl+drlq8AdjYn3HcsI8hdl+OTfvMwHsFQWkBr7gdk3QVQmGL4UfmxDls1AU ARUBVK7HjZe+Ukrun0ZkP1EUSMlFs8LvtrU1P7wzVm1tK/7mXHCxiErkssrni5vzqqoa99+l +e4E1ioRweTzSAr5JFq8Flz6PYxqdhD1gEroABjVgoGqKjSQhkrWPJVq/jtRcLqqdhgTAxHl c1OYiPYi4tGRkGg+lB+IuEtTqXvuLh5HdeCcB7t+kde/p5r9Qb7IITfPXHpB2Jf3EqkKmgUo iO5d3zUWz188b/1lqsFPC2kR1G+8IPdmZhjjQ1W3OucWtbYu7wsoqg68J6rSx+fFF1dsAuQr IuGaaI0KD2kxn5yBDVXdnrd78p9dE/TrvnsSvHwKLgAoEIsDKg8jfO2eYtKamuR+xtA50Suv 2MkfPmtMb4nRM2PGQm/GjGMGGFLt7ZvuItL7KGfQ53T1fZhpyWAeht2BtUyqZKJMOYPovjGY Xd+4kZDkvzdQZRME/iBr5Wx0fn4cYuaCgGUyMggvHaAutrTc97hqb9K54FEiTjPH8lU2IDKI bq6FqnvBufBLbW3Lbyg+X6QiJyjFcyZPpGLAwxnZQm8uUpVvEuENY3ww+yi4Lf2cQMrfRORq Iu6KHoj82OoVj/fSS89sI9p6hnPZi1Wpg9mDMbGS8aK3FTtV9xvnwvmp1PKSkkpV4vx9KPAp 3RBaW5tXhaFbIBI8SsRBxKMw72i3Z6jKTwD9UeSqLqz7W+vo1y49GMTXAeQjdJHsej4QBhvh stfg5puLW8sZZnMes50cZbr1BRJCZr1qzZpHNhYPvXnz1pOZyz7W1IQzmpqKLZOVYRg2Xmdt eBiRnaga5l7p3FhbKw+2tuLBt5z3DkCka0TkrDDMjiCiEFASyXgA+rIsRTJ3qNIqVQlVA2Mt d5eX25cHjiY/DYKeZwHKMBOLsHie7RunvPz114NgyrlhmB2ryoFzQcxaHVTdSKUe+FNd3cw5 QTD6CGP0CGaqA3QcQIGq6xAJf5/JhL8YrABj8+Y3e0ePHnOtSM89qsiKZD1V3rh585uDdi5u b1+ZBvCtadOSj1lLxxB5HwLcpJxwvS4ifzQm+Fl39/Y3ysvHrVHNlomoiDjLrKn+47W0/DID 4Jrq6gUrmOVzRHwQEaoAigO6xTl5WST8TXk5Pd7S0jwg8CZCfxMJT1ZVA6iIhD5Af+xP19Gx /C/V1Q1zgb0+a4wcToTpAEarIgug3bngqfb2yrumTt06zdrs86oaRLEOHUSZ6Y8bbv45/Ph8 dG0DQo2csDYGdPfciOuWnFdMWl09t4HZe4wIZXmr15gYnMs+Eo//fW5xJU59fXJsOm1+zWwP Euk9OpW6/7H+rBOJeVcz+xflX0vMMagGv3cufXR7+4MDopL/TJgyJVkGoMzaQNrbH+zCrrgo 3iaqqxviQVBZXl4ep56esHvduuZ32tqbEolkRTYLI5JOF6dODCUmTGgY6fuVMc9T91ZrtPMd /cZlR0DpOGSKrtv6QBCsBcn3iknr65N+Om0WGWPKCru5gUjYq+pu6V9u1tND86zlgyK9z547 YULy6Q0bSp92keztRNzIbBKR7pgFYD6hOmIOgB/tymK8V5ETtnell3xuh99p6dpuQnficBgy bNiwcjuAAW+IwbBjHb1pWQUU34TvlyHM+SQjYwoQdxOuvailmLy31ywi4uOKsxOj4JDc3dZ2 X0nVUE3N7Cpj+HxVwLkMmO3ho0bxwv5TaG9/sD0McWO+ZUHe1WWMLKmpmV21Kxc4jGEAO9vR K/2TYfnf0FukgsfLgN6ep9HV/eNi0pqaBQcxYzERuDTLLFhPhOsx4JViz2O2tfmdP5dNt7i2 tvHx1tblzxVTxuOv3BkE02Yze58RyUdMvX1Vcf2UKclT3u5rtqpqzoet9Y9g5vHO6WYg/VQq 9cCAesyo4ZHMDEPxrBUDACJoc673ybVrHx00TySRmLMvYD9njD/JueyWMMw8sXbtg6v60zU0 nBJvb+9pjFIJyu9pb78jDYCqqxuPVeU636cVL798d59OnCtAmO0cypgtAY4A6giCrU+uW/df m9/OOrxfMLgHY+kt0+HR9wEajUw2MkCNB6huQzb7NXz7kucLxDO8sWMrb2D2Pp53J+YT8FXD y1Ope39RPHRNzexPMXvXq2qsECQQMHsjgXDvROKTK157bVXfg7Fp0yvZysrprwJ8HBHHo3Cz gtnsTxR2dHau/svuXnRV1fyzfT/+YyI+TtUdyuwdQWTnjx79AdPZWf8HYHVfWG3cuPqZRP4P mPkoVTmSyB7JHEsa49UzT1/Z0/PC9tKx5842Jn63MX6jSHCoMd4RxsTmjRmzX7Bly+r/Lqa1 dt9KVW5mxr8z9/x4y5YXu4Emrqx88zbfH7HQuezTW7Y83xfmrqj44MHM5n5jvKMAOYrZHsns J5lj9WPGHPhUZ+dz/yD5+/94GKi6qBJiuBCx2FRkMnmtAbAWyGbuwZUX/KqYvK4uMZOIGqPA ToRcduIz2WzXHcW01dXHjyGyTURmQPFq5Cu2szo7B4b7U6kHnnRO7i5U9AgAMLNdvLsqTCKR PNr3vZtEXDab7f1CEKTrRXpnq8paIjq2rg79alY5yM2vGcBBgPsIEN7PHDumosIcX0y5777H fczz4rcBuncYphcFQXiASHq+qtvO7C+trZ07s2RktprLDuwhskW9ZtAb+Z8pLKWn3KK5XwI4 xDn3cdVghbWxY4jcrN1Zh/cbBqout91yGKw3H9ki2zHKZ3kTIZf4waOKfnses7HFZU6AhCJy c//XKVHsbGbv0wNL6aKCYWaPVLFk/PjZT2zc+MBrxecyZ7+jSrOZ7cR8gIDZn84sCwFcsmuX 22CJzIkAeSLh1zs67rs398ULdXUzf0c0Ei0tzQPynCPflLalUs1/B4BEYt6TzDRHVfcpphMp O8va2IRMZvsV7e3Lb84dXl1dPZd8v/znzsl8AL/sN3oh4FDATmKSBEDW5tte1NbOewjALECH bZadoHRHX7YsBjbnIxYr6+tpDgKMBUS/jyvPKckWExl1IhH+rTSfxUBEHh8xAiUtDRKJxunM OCsXcu5jT3kDF8gV/pr6igrv6r6DOaRSK9aoym3FU46KD8ypiUTywF252MmTzWiA93Uu02nM tl/n5nViXd0pFzo3rhHw59XWJj/T/7xcm4rDamu/uLimZv6lRHyuSJARMX2qSDKZNIAe4Fwv APfr4vOZdZVz2Y2A7j9jxgyv//i7B1GAPphIfGFBXd2C04nMOVFlFv3vOxv3nxulgl7uLUAs NhOZdOQvVwBlI4Bs5m8IsrcUk44fP3sfIjqfqJCQE+nlsg2Qa4r7Wzc0NFhVvZjZn5yvFMmF n18E3FWAZgph3RBE5ou1tXNPGjBZ1ltVg79EkbbiiCkvqa9P+m99uRUgIgaI0ul87iktINKz mfUSY7xbROiLpee4XEEvfYjZXWiM/RaAujDMLOnouKdEjctH/22/9yQRKxERoDRq1Ki+3Vok JEQmjZSVebmdpUmIojYYxWHwAg9NA3wokfwM4B8Apkoke0MQ6CNvff3vXxQW8sYbJ4PtRSBi hC7aT30fcOEmhLIYTYtLqkcqKuzXiPySiv4o3dT9MFc21Ye2tvHHGuOdEAV9OJ8T4VTlqtbW 5m8Q8YP56qIoL4IY8C6uqkrWFI/T0tK8wTm5XlWyhSSiEICZm07TW/7a3fr1tlM1fM6Y+Ghr RyUBIAz5pN7eLZ92LnOnROUO/dpaGzB7UHXN2Wz6COey9xJ5ykwvF1cYNTc3OyL83pg4VM0c FL2RRPBZZn8cQH9euXJlkd7tZwB1AJV3dwe5SqEZHhGNiQqpZZAcWRMD3K+d6z06mw2ODMPM p1tbl18wBEGef2oU9p6x5ecjFpuOru7cLcr1TuxO34ZLvl7yCxU1NclDAHNGsUEZdVdyL4pk S3q5RN9hg6qcJxKGxhjPOSknotfa2vReAMrsrnWOP0Vk94nC/QGYY/sZI0sAnIUinbW9vbk5 kWicw+wnVTP5VN6YKl8yffqC36xZ8/ON/fkX0OzS6eRtZWXZ44yJf7emZt4Uouz/ACMOMMac JpLtANx9/c+KHird1NFx///W1My5StUdA9DVdXUn/q6l5a6+6pwwdN8Beg8nin2lpqbRZw6e AsyBgHe+c5mtqkFJkKul5a6uRKLxd8bET3Mufe3UqXOXG8OHGeN/UiRsB+jZgXMhVuW29vYV v+r/3TB2jEjQ77jlU2S90zQICipLPA70pJ9Htuvm4hMaGppsR8cLFxtjxhQioHkdO1zW3v5g e38mbW33/RZFuST98fLLzX9NJJK3EfmX51NDc/r6yVVVJzzc0XF3cXqAiMjVQHAEka3MPxjG eB92Ts4C8K2dXfD69c3/nUjM/QJz/Hpryy8FJF9MvJoo+HJr6/0lOS1EMFHzIFMWXcv9z9bU NP6n541cGARdZwDoS7Dq6Ghuq6qac5Ln0Xc8r2whEF8IMESCF5zrXTKw2h5QNd8Kw3S1MbEF 8XhsAUAQyT4rgvPb2prXltISR82Nwnx3geFfzthFRP665PFLKV72IXT35mwdAsgA2cxlWLK4 pEqcecJMZnOxqthCdqIH58L/6u2NXdLd/dpQTxMAAAQVSURBVOzbKnnbZ58DXgpDPY7IGxfd PwWztUA4ecyYjy7v7Pxr32u8s3P165WV+8eI7KeL+32oSu3IkQc80tX1/A4LfgFgy5bVa8aM mfaIqn2ZyD3rXHiPanBZa2vzgB107NgDegF9QdU9sWXL868AwKRJ9c86Z9eEYdiydetzLcDl ffRbt77w+tixUx4Q8dcAsjoM9V6ibZemUisG7RTc2fn3raNGVT3C7L8AyIuA3KPa1dTW9sAA 43L8+A9nAG1RDZ/YsuX59l1c2mEAINz747kE/hkyYUzTAeAU8OJAb+YJbN+axIUX9uUsVFcf P4Y59gCz7XMRRnq5bgTcZ1tbmwdE/3YHiUTjqcz2hyIhFzo/WRHJnptKlXZwTSSOGE007kEi ryHv2mT2IZK9NZXSrw3SHnkY72MwKb6i1sQidyJFLgPntiFI31Qs5ABAFD+dyDYU+rMQiChU 1WveqZADQCq1/Cci4T3MUfAkV3TBgLmopmbWwaW0T24F9ApVt7E4EZ/InDZtms4cZPhhvI9h Nas/JnaHRW2eXa4XAlmQrehHS8yYyGwon7iV60e4DSCvtjbZKAKfSAVgISIVCXN/q4hE/xKF 4pxxRCxEgThnxNqo8U+UVyyrVN3xRDwi348RoJEiZsAvUqgG64koG+W8I985IG6t1O7xlRvG ewoWsQ0PIZz4POKxA5DpBpwAvl8GY76EW299FGefnc/lUJGeH6piLrOtzrcGBnQMkbk26sgK FAf1iKI6SMpV3kVgNSYfDfThedB8dDBquiOBquSKA/NNK8P7xo9v+1NHX8vSKC04k+HLibxJ BdXFQjVYDXSXBKuGMQzGvAu3auh+AeZC9VI2AxA3YHv4sWLitraHXwLw01zZWO5otBWL5Du0 al+dJ5H0teGJGhcBRERE4FyNoAHIAvAQtSeOAzQKOSM51xu8VzX4+apVq0qM3HSaTycy8wvt GKIIaxjSXanUL0q8FcMYRiTZHD6GTGY74n70SxWqwIgyH3FvPpqaSqJzRO5nqm6dMYWaxtLi X0a+rW/hgdi9TzRm1NZBVVeFIT9dPIeqqsZ/AehbhRx1yu3mbp0xmQF+8GEMI/Kje2OfQbrr N4h5RyMTKhiKMCSIJsGj/gNAn6urtbW5JZFovBWwi3O7db7LUlEiUq7pmZb0JuwzMEtpi/9b 2mBBBCqitxZH/aLfsNEbjRkxViQD7vuVPoZq+LNUasVutYAYxvsDkaDPm+f0J9+/CD3pByDZ ECGAjCNI1kN5bECOczYr343Hs48DAJETAAhDVoCVKFRmK9F3oUZ5Hqz5nyIMgkABo0SsQFTU Ef0NGBOTdDqdO2aUKKPt7QeVtNLwPDtSlR8Kw56HVREU5YUE27YFJbnvwxjGMIbxvsL/AzAs DuhtZVm+AAAAAElFTkSuQmCC iVBORw0KGgoAAAANSUhEUgAAALoAAAA3CAYAAAC7IFD3AAAgAElEQVR4nO19e3xcVbX/d629 z5lJ06ZNHxT6SjIJRYKA3ipexStRHteKPPqYpgUREH4FRKs8SnkpAXljQQtcEV/IFaQEKA9B L/DDiuL1qvUqQoGSTJLS8uorTZtkZs7Za/3+ODOZmSQtLaT8RPL9fObT9Mw6e+2zzzr7rPcA wxjGMIYxjH8OmHeN06yLP4gDPxJi9R963zWewxhGDvyucFlw3nhrzR3WxZe8K/yGMYx+eFcE nZ2/UP3YDCKzKPb5Jce8GzyHMYxi7HnVZfZ5VcSxZSRayTAWolVu5P7347VVmT3OexjDyGGP 7+hsy86CtTUIM9AwDWL+hL/X6LP3NN9hDKMYe1bQG7/xUXh0BsRF/1cB2IKI/xVoenfsg2EM A3tS0JNNPllcABsfgzDMcbOAC3oAvRlokj3GexjD6Ae7x0b2ws/D+LMQZgEoAIBsDJruvTf7 2PVP7DG+w3jPYcqU5NhYjA5WhXHObSov5+dXr27ODiWPPSPoX7pgFJw9H2wMsjmb0/jQMNMR BHLtHuH5D4sGC0ynhoY1unLldGpqmuSamobfZsXwPP4IoI8CbK2127JZXTF58qxz169fsent jZg0QCU3NExSYCW2bdtGe2hHHzGLjPl4n5AzAyAodBl+df1Le4bnriGROGFfIr0AkLEi0k3E fyUa0dza+pNXhprX1KnHTrJ2xNVAZ01Hx4RMItE54s47tzwO4Iqh5vVehqqSKixAADAKsF/0 PPo1gDt2d6xkMmn++MfYEmO6ZnZ0bO4F9gKw1x4Q9FOvnkAUnAcwINHGRcYHZTN/CbP6k2LS 6urk3s7JlFdeuf/PQz6PHUBV9iayJzB7I4gciPgkkfQJVVXJZEdHc9tQ8vK8keWAHmVt2T4i IZh9BMH2bUPJ458BRKSAOkCNqgMRgdlWv52xmptTXFu730etHfFJ59KIHh4aemOUObsI1j8o 0s0BEEMlVIV8G49eu6WUls7xff+nNTULJg71PHaEbNaFgPSIBMh/mM0MgD491LyYnRBpdzEv IvQMNZ/3OkTUEhlDZEFkweyBiN9BjEd7RbIQCQv3eOimC+DkK2ao9RdCXORKBAAvBhL5lctu fqiYNJFIHkhkTjImXk/kzhrSebw1tO8PVagqmKl8qJkQGX1rqmEYo12q8qJquEbVveRcuCYM 8fpQ8hg61eWUpjhi/A1Ysxd6cq8Ma4Aw2+1Ul+KR24t2sgZLxOczm32cy4DIfDmRaHw0lVr+ pyGbz25ChHbJQJwyJTnW97lW1cWNoU2+/3zL6tWrB/UQpNOS9jxyRIVjRAjeikdd3YkVquE0 VRkjkg2CwKxfv/6Bdbt6LaVosHV14/ZTFWpttS8Aza4fAe277wk1qsFEERjAeyOVursFRZvB 7qK29tSpzL2TnHMeEXdau67jpZee2aHKlkrhv+vr5aPOvUoAsGFDBW3ePDK9Mx7Tpp1QyYwq orCCiHqJsh2trSveBFYFwPQB9EMn6OX2TIJ3bGSAEgAFGQ+U7X0M9131FHB1H2lt7YRPEeEE 50IAAubYBNXs1wCchHewwEOFRKLxRIA/C4QhYHwAf06l7rkpkWg8lYjPIcLeqmwB6s5kPvRi Xd0Hv93Scu9/5c+vrj7xXz1PT3UuHAdgH5HoxakaQpU+VlMz/w5jeJuIuzmVWr4mf960aUdX WltxpohrZDYTAC6z1jpjtDORWPAHQJYNthlUVzfErZ34ZRGaAbgss2dE8GAQuL/5Pt3AHD9E JPOn+vrwpNWrsb1wXvIwZvt1AAcDtoIIDFBXIrHgf0Vw0fbtma0VFfFLiNwoVRHAWpHwz+3t zd8dbN1qaxtnqtLZRJn9VGkMkTVE6AnDqW8mEguaidI/ioSxFHV12C+dpq+qTjVEImPGGH/M mPD+VAqP9qfNrdFXAZlHROMAEydCIBLflEg0/jwMt99MhO7+5w2NoH/1W7WkdA4AigxQBUy0 mxPczQD1CW9d3cyYCJ9D5Fkg2ghVAxDRrGnT5h2+du29Tw7JnN4BVOkw349/wbkQzAZh2Ds9 kWjci4jOITIxVZejQyWzmaKKQxKJxgtTqeXfi0YI9gPiC40xcC4DQHL0AoCrrY1Vq4ZpIn0A wBoASCTmHcHsXQ7gEwVaQBUg4vFEpk7VzUwk5t/S3e3d8MYb/9l3M5ltDDDHel78MOeyYDYQ yYz1PMSJvMMBhSrWvPlmtGPW1ydHptN0MZH5MrMZrSrQgjJXyWyriMLpFRX8EDO+yBwbJSIw xkM22703gBJBHz9+9j4VFd5lAJ9sjI2rur7xVFFJZCYT4cOqI+bW1iavbG1tXlF8vghVM3tn RqlXAmYPzvWuB0oFvaZm/r8ZY64B6NDomgprxMwTVPlya0f+q6qOyt+jvjXaHQEYFE1gwCyB H5+GIG+AEmB9iOL74T3X/LaYXLW8kcjMFAmLjgmI7Ahr6RuJRHL0O57TO4aknctCJIMw7AWA DxLRhQBiIgEiwXBQDeFcBqqoIOKlNTXJIwHAWriIRpBzmRVBkf9OBA4AamqSc5ntcoA/ERlQ 0doQEYgIqg4iGRBhHLN32ahR4bJJk44ZkR+xq6tXRCQTzTmLMOwFkRwJ0OEiGYiEUNVgr70m ZYAZXibDNxkTuwjA6OicMHc90scLQD2RWSwSxsIwA5EsnMsCoJLdctKk5LSKCu8uY2JnABp3 Ls9PisbLG+L0L0Sxn1VXz1lUsiJKoUggkQEZfZDfBXOorp7fwEz3EfGh+fEKc5YczxBEZqYq Pjn0gr7lqiPJmpM0m0XfY+zFgCD7IiRcVjrZOR8g8i4kIpPf5QoXG4LZfgrAKe94TkMKBYC4 qoKIwWz7Pn0U0QKXEfFl1dUNcefMViKsBfRNLVlxgqqmieQ1ZtMGuM5p05L1RPYWgMeKpHOu NQMibFTV51S1FaDcLp0XGPuleLxscfEsIxddyREfUDAbMMdARCNWr94gVVX7LiTyTs8LSnSu BbMPIpO7Ng+5+2MB+DvSJuvrk348bq41Jvbp6IGPHmxmDxzlNPX9DSAnwDLCGP+mRGLemYMt 9GCork7uzazLiOxe0RtS+/hEnhrOXacF4NBftoB3KuhfXVYBtt+AsXG4fD4LA6ohO/dt3H1V R560oaHBMpsriez+IsX2WLTjRYukILLnT5my4KB3NK8hBlG0uzonD4VheKZzmUUi7mmiggcs elD5Q8wTPrJt29qVzunnRcJTiXgd5zxl0Y3Qp4Mg+zmRYN727ZzyfbrcGDtRJItoPOoVCa8P QzmGKPxMEGSOck5OUdUWokgAI18zf7W6OvmhHc05p/IAkPWqwRPM5r5EojJhjF4QjSHFc1rn XHaZc9kviQRniYT3q5J7K/Ho7aXjiXheJMCaewMZiLjfO+cWq8oXRLJXqOpqorywhyBiJqLL amuTdbuy/sx0KrN3YG6nBxGDiKHqVjoXLBFxJzkni1VlJcAg6v8Wfac6ut/9f2D8Q5EuSi33 YkCm93G3+vU7i0k7OibOYuZZzpUKORGgGhmvUVAlNsX3w6UTJx51/BtvPD7AqPj/AwMR+Wkm 0/3lV199pAcAqqqSv7CWH2H2Dig8uOQR8ZSNG5/53caNz/x9//1nb8xm/UxBfSEw85bW1uV/ BYDa2rmfUPX+XTVERMPOObm8vf3e64qYbwCQqqqa/6y1+giRmZwLPo0jki8A+CvRpAG7IRGr qrsHSH9z69Y3Xt+wYeX26ur5i4wx0wqqkYWqPKcanNrWVhy0W/ijqqquhcbojQD7g+2QQINl NguIjCmooQxAbw5Dvmzt2rv7YiZTpiT/0/PMnZ434uOSy2S1tnzvIOj5EoCLo1148IcqUtF0 VrSLa36dVMTdakzXJe3tv+zK09bVnXi7SHg5s/l6tKYFvH1BP/fKqWA+C9C+CCgMAy7IqIbf xarb+yS6vj45srcXXyEyrJpXvQhEyKjqDwGaS2QmRjpXAGY+fOTI0ck33tj9EPBQI7crpkXc nXkhB4COjua26up5f7TWHFBMLqJ9axoE3gj0u4Oq4hX+Nocw8yjVbH6HSgPUm0jM/Xzk6iuG y4jwm8xmcu5sMJuj6uqSE0aPTnV2dhZcatFYsjEI6OpXXnm4JX+cWQ+JdP68wFAgojeUCjkA 3B50dODWRKLx48z2RJGBgl5Ts884VTejwNMCcC1vvJG9cvv2FSWBwXXrmlsSieQFItlFIkLR GwWsis25s3eotpSVjUgAPEVzajGzhYj8zZiuK1paCkIOAC0td3VNm3bCFda6w4nsgcXC/vYF 3YstgvVq0d1TfAza270c2176v8Wk6TROYraHFhugxngQCR8VKTvfmJ40sznPOZczTA2pmq9P mZJ8Yt265vVve45DAgJAXcxue/9vmNE5gHqArrxTTAfypo0AwAhjsBSwZEypFUsEcU4of/Ny npKpYchTV61ataG2tlTQRbKb0mlqzx+rr0/6vb2YlleFc/psK7DtNzuanIhrBmgBEXNe1Snw 0KmqGJ+/3NzD9dT27QPdhwCQSjX/DsDvio+p5rUMph2p6CKyjzFmZLFhrypPtLT8csNg9GvX 3r2lrm7eYwAfqEVDvj0d/aKrDwXTGQiD/gboK9DwWjQXghLV1cdXE5lzidBngBJZiIRbndMb 2tvvSIeh3iriXo6MoEiPM8YeHIvxux0x3QF0B8K7W0I9yKg6qv+ARNYye4bZ4+IPkWeN8Uxk 3Hk5oxFjiKT/GPmBSiQzm/XjgJQVX4mIbtq6Vbf0PzePMKTXiLRnoOcIIJJRRANypQYV8h2B 6K1jJkQaUy28JVUVIu6NnZ0TfV869O7v6E1NcQTeN2H8Udie2+TYRG6w0C3DD698oZic2V9E ZOsKhkT09DsX/rC9/d4/AJEakEjMuxHg7+VfrSIOqvhKdfVxj7S3P/Q/uz3PdwU6UAJ2A0RS 9JYgAJpRDZ9ThUQrVcJLATjV6DiRM5Hhig1RWuoAalJ9tW+Mlpby3pqabE9kEwGR8cgTRo8u q9y8GV39zwcA39cpAJcNpqM7l93C7AcAFalimLJbC5CPLO4cvUQUqKIs8rEzrKXqnZ2gamv6 P5y7L+hh/GR49qjIAM3N0/ehvekVIPmPYtJEIvlJInN6sYct2s2Dl4JAbyqmFXnzDuaJc5i9 I1SzUHVg9ker4pIZMxbOWVWk8/+zQERfYI705dw7PAMEi7dv3/7HsrIRfQJkbUbCsDfLbGOd nZ4CwMiRbIDRWLv2gK0TJjw/YgcsinB7QNSYAuhTEW8HZlNHRLMB3DSQfmYMMKcQsckbkKVz DzqY42sB/kDBE4Qjq6oa9+/oWP5Cf/ra2saZAJ+ZM+iE2cac09+mUndfB4gO9taIoGtVZStA FQByLlHz2aqqWft3dKwYwKemJrkfER/7zvzol3y7CuwtBhlEdaAKeD4QBK8iDC7F7U19CvvE iUeVA+ZCZjuq4K+lvBJwXX/du719Zdq54GpV6cq77VRDGGNmbt68dcFuzfM9A35a1b3JbPK2 SYWqd1ZZ2STX3v5gZ/7T0vLLLua9T7B2n6WVlWOWVlZWLo3FRi9llulAkxTv3DsH/TbanaMN SlWZKHZxVdUJpwEz+h6s2tqT9kokRn+HiI/p773IY+3aRzuJ8GThXjkQ8WRr+Ud1dcnDimkT iflHA+Z7zN6xRPZ4Zm82kXf04N6cUkybtqlNRFbn+Yg4EHGdMf5tVVVzPlxMW1NzwiHM5sfM XNVf0HdvR/fpNPhltejKvXGJAWNBmcwd+v2m1cWkZWVjjgTos8U+cyIfqtk/APLAYMN3dDyw sqZm/kPWeicVDFNrjZGzJ0+e9ejbrzj5x0R7+wHPJhIvPMVs5wNhbpe1SaCX6+rm/UBVWzMZ lPk+zyWiSwHmKKjjw7neTcy6W9VaRGVPiHSvY/am5ANGRGa8tbgtkUjMAfb7DeBiqsHnmM3H otycHWoW6py7zxg6ncjEowhoCGbv46r8YE3NvPuYzcuq8gEimgtgVJQfrmCOwbme9el05u5o qB0boytXrgwTicaHAfx7/gHN8fkUET8cfWfWAlJNpLOJzF6lcZoch11epSuWHgw2ZyII0Dcp zweCzGrxcFsxaXX18WOMocXMxuSt9VwgoVtErkmlmrfuaPGAzFKR4NV8NE01AGAOsdY7ZZfn +p5BkwBytUjwCrOPwk00c1T5MVXzjO/Tb4nMNwHlMOyBqoNz6ayqLipOCNsVRFVUfGOkKuUT zRwAtcz+TGZcy2wuJ+KPRSH1nY/X3t78W1X3vXx0EgAiIaMxxninE9F1zPZUQEfl3wxRNFO2 E9HFr7760C5Vdfl+drlq8AdjYn3HcsI8hdl+OTfvMwHsFQWkBr7gdk3QVQmGL4UfmxDls1AU ARUBVK7HjZe+Ukrun0ZkP1EUSMlFs8LvtrU1P7wzVm1tK/7mXHCxiErkssrni5vzqqoa99+l +e4E1ioRweTzSAr5JFq8Flz6PYxqdhD1gEroABjVgoGqKjSQhkrWPJVq/jtRcLqqdhgTAxHl c1OYiPYi4tGRkGg+lB+IuEtTqXvuLh5HdeCcB7t+kde/p5r9Qb7IITfPXHpB2Jf3EqkKmgUo iO5d3zUWz188b/1lqsFPC2kR1G+8IPdmZhjjQ1W3OucWtbYu7wsoqg68J6rSx+fFF1dsAuQr IuGaaI0KD2kxn5yBDVXdnrd78p9dE/TrvnsSvHwKLgAoEIsDKg8jfO2eYtKamuR+xtA50Suv 2MkfPmtMb4nRM2PGQm/GjGMGGFLt7ZvuItL7KGfQ53T1fZhpyWAeht2BtUyqZKJMOYPovjGY Xd+4kZDkvzdQZRME/iBr5Wx0fn4cYuaCgGUyMggvHaAutrTc97hqb9K54FEiTjPH8lU2IDKI bq6FqnvBufBLbW3Lbyg+X6QiJyjFcyZPpGLAwxnZQm8uUpVvEuENY3ww+yi4Lf2cQMrfRORq Iu6KHoj82OoVj/fSS89sI9p6hnPZi1Wpg9mDMbGS8aK3FTtV9xvnwvmp1PKSkkpV4vx9KPAp 3RBaW5tXhaFbIBI8SsRBxKMw72i3Z6jKTwD9UeSqLqz7W+vo1y49GMTXAeQjdJHsej4QBhvh stfg5puLW8sZZnMes50cZbr1BRJCZr1qzZpHNhYPvXnz1pOZyz7W1IQzmpqKLZOVYRg2Xmdt eBiRnaga5l7p3FhbKw+2tuLBt5z3DkCka0TkrDDMjiCiEFASyXgA+rIsRTJ3qNIqVQlVA2Mt d5eX25cHjiY/DYKeZwHKMBOLsHie7RunvPz114NgyrlhmB2ryoFzQcxaHVTdSKUe+FNd3cw5 QTD6CGP0CGaqA3QcQIGq6xAJf5/JhL8YrABj8+Y3e0ePHnOtSM89qsiKZD1V3rh585uDdi5u b1+ZBvCtadOSj1lLxxB5HwLcpJxwvS4ifzQm+Fl39/Y3ysvHrVHNlomoiDjLrKn+47W0/DID 4Jrq6gUrmOVzRHwQEaoAigO6xTl5WST8TXk5Pd7S0jwg8CZCfxMJT1ZVA6iIhD5Af+xP19Gx /C/V1Q1zgb0+a4wcToTpAEarIgug3bngqfb2yrumTt06zdrs86oaRLEOHUSZ6Y8bbv45/Ph8 dG0DQo2csDYGdPfciOuWnFdMWl09t4HZe4wIZXmr15gYnMs+Eo//fW5xJU59fXJsOm1+zWwP Euk9OpW6/7H+rBOJeVcz+xflX0vMMagGv3cufXR7+4MDopL/TJgyJVkGoMzaQNrbH+zCrrgo 3iaqqxviQVBZXl4ep56esHvduuZ32tqbEolkRTYLI5JOF6dODCUmTGgY6fuVMc9T91ZrtPMd /cZlR0DpOGSKrtv6QBCsBcn3iknr65N+Om0WGWPKCru5gUjYq+pu6V9u1tND86zlgyK9z547 YULy6Q0bSp92keztRNzIbBKR7pgFYD6hOmIOgB/tymK8V5ETtnell3xuh99p6dpuQnficBgy bNiwcjuAAW+IwbBjHb1pWQUU34TvlyHM+SQjYwoQdxOuvailmLy31ywi4uOKsxOj4JDc3dZ2 X0nVUE3N7Cpj+HxVwLkMmO3ho0bxwv5TaG9/sD0McWO+ZUHe1WWMLKmpmV21Kxc4jGEAO9vR K/2TYfnf0FukgsfLgN6ep9HV/eNi0pqaBQcxYzERuDTLLFhPhOsx4JViz2O2tfmdP5dNt7i2 tvHx1tblzxVTxuOv3BkE02Yze58RyUdMvX1Vcf2UKclT3u5rtqpqzoet9Y9g5vHO6WYg/VQq 9cCAesyo4ZHMDEPxrBUDACJoc673ybVrHx00TySRmLMvYD9njD/JueyWMMw8sXbtg6v60zU0 nBJvb+9pjFIJyu9pb78jDYCqqxuPVeU636cVL798d59OnCtAmO0cypgtAY4A6giCrU+uW/df m9/OOrxfMLgHY+kt0+HR9wEajUw2MkCNB6huQzb7NXz7kucLxDO8sWMrb2D2Pp53J+YT8FXD y1Ope39RPHRNzexPMXvXq2qsECQQMHsjgXDvROKTK157bVXfg7Fp0yvZysrprwJ8HBHHo3Cz gtnsTxR2dHau/svuXnRV1fyzfT/+YyI+TtUdyuwdQWTnjx79AdPZWf8HYHVfWG3cuPqZRP4P mPkoVTmSyB7JHEsa49UzT1/Z0/PC9tKx5842Jn63MX6jSHCoMd4RxsTmjRmzX7Bly+r/Lqa1 dt9KVW5mxr8z9/x4y5YXu4Emrqx88zbfH7HQuezTW7Y83xfmrqj44MHM5n5jvKMAOYrZHsns J5lj9WPGHPhUZ+dz/yD5+/94GKi6qBJiuBCx2FRkMnmtAbAWyGbuwZUX/KqYvK4uMZOIGqPA ToRcduIz2WzXHcW01dXHjyGyTURmQPFq5Cu2szo7B4b7U6kHnnRO7i5U9AgAMLNdvLsqTCKR PNr3vZtEXDab7f1CEKTrRXpnq8paIjq2rg79alY5yM2vGcBBgPsIEN7PHDumosIcX0y5777H fczz4rcBuncYphcFQXiASHq+qtvO7C+trZ07s2RktprLDuwhskW9ZtAb+Z8pLKWn3KK5XwI4 xDn3cdVghbWxY4jcrN1Zh/cbBqout91yGKw3H9ki2zHKZ3kTIZf4waOKfnses7HFZU6AhCJy c//XKVHsbGbv0wNL6aKCYWaPVLFk/PjZT2zc+MBrxecyZ7+jSrOZ7cR8gIDZn84sCwFcsmuX 22CJzIkAeSLh1zs67rs398ULdXUzf0c0Ei0tzQPynCPflLalUs1/B4BEYt6TzDRHVfcpphMp O8va2IRMZvsV7e3Lb84dXl1dPZd8v/znzsl8AL/sN3oh4FDATmKSBEDW5tte1NbOewjALECH bZadoHRHX7YsBjbnIxYr6+tpDgKMBUS/jyvPKckWExl1IhH+rTSfxUBEHh8xAiUtDRKJxunM OCsXcu5jT3kDF8gV/pr6igrv6r6DOaRSK9aoym3FU46KD8ypiUTywF252MmTzWiA93Uu02nM tl/n5nViXd0pFzo3rhHw59XWJj/T/7xcm4rDamu/uLimZv6lRHyuSJARMX2qSDKZNIAe4Fwv APfr4vOZdZVz2Y2A7j9jxgyv//i7B1GAPphIfGFBXd2C04nMOVFlFv3vOxv3nxulgl7uLUAs NhOZdOQvVwBlI4Bs5m8IsrcUk44fP3sfIjqfqJCQE+nlsg2Qa4r7Wzc0NFhVvZjZn5yvFMmF n18E3FWAZgph3RBE5ou1tXNPGjBZ1ltVg79EkbbiiCkvqa9P+m99uRUgIgaI0ul87iktINKz mfUSY7xbROiLpee4XEEvfYjZXWiM/RaAujDMLOnouKdEjctH/22/9yQRKxERoDRq1Ki+3Vok JEQmjZSVebmdpUmIojYYxWHwAg9NA3wokfwM4B8Apkoke0MQ6CNvff3vXxQW8sYbJ4PtRSBi hC7aT30fcOEmhLIYTYtLqkcqKuzXiPySiv4o3dT9MFc21Ye2tvHHGuOdEAV9OJ8T4VTlqtbW 5m8Q8YP56qIoL4IY8C6uqkrWFI/T0tK8wTm5XlWyhSSiEICZm07TW/7a3fr1tlM1fM6Y+Ghr RyUBIAz5pN7eLZ92LnOnROUO/dpaGzB7UHXN2Wz6COey9xJ5ykwvF1cYNTc3OyL83pg4VM0c FL2RRPBZZn8cQH9euXJlkd7tZwB1AJV3dwe5SqEZHhGNiQqpZZAcWRMD3K+d6z06mw2ODMPM p1tbl18wBEGef2oU9p6x5ecjFpuOru7cLcr1TuxO34ZLvl7yCxU1NclDAHNGsUEZdVdyL4pk S3q5RN9hg6qcJxKGxhjPOSknotfa2vReAMrsrnWOP0Vk94nC/QGYY/sZI0sAnIUinbW9vbk5 kWicw+wnVTP5VN6YKl8yffqC36xZ8/ON/fkX0OzS6eRtZWXZ44yJf7emZt4Uouz/ACMOMMac JpLtANx9/c+KHird1NFx///W1My5StUdA9DVdXUn/q6l5a6+6pwwdN8Beg8nin2lpqbRZw6e AsyBgHe+c5mtqkFJkKul5a6uRKLxd8bET3Mufe3UqXOXG8OHGeN/UiRsB+jZgXMhVuW29vYV v+r/3TB2jEjQ77jlU2S90zQICipLPA70pJ9Htuvm4hMaGppsR8cLFxtjxhQioHkdO1zW3v5g e38mbW33/RZFuST98fLLzX9NJJK3EfmX51NDc/r6yVVVJzzc0XF3cXqAiMjVQHAEka3MPxjG eB92Ts4C8K2dXfD69c3/nUjM/QJz/Hpryy8FJF9MvJoo+HJr6/0lOS1EMFHzIFMWXcv9z9bU NP6n541cGARdZwDoS7Dq6Ghuq6qac5Ln0Xc8r2whEF8IMESCF5zrXTKw2h5QNd8Kw3S1MbEF 8XhsAUAQyT4rgvPb2prXltISR82Nwnx3geFfzthFRP665PFLKV72IXT35mwdAsgA2cxlWLK4 pEqcecJMZnOxqthCdqIH58L/6u2NXdLd/dpQTxMAAAQVSURBVOzbKnnbZ58DXgpDPY7IGxfd PwWztUA4ecyYjy7v7Pxr32u8s3P165WV+8eI7KeL+32oSu3IkQc80tX1/A4LfgFgy5bVa8aM mfaIqn2ZyD3rXHiPanBZa2vzgB107NgDegF9QdU9sWXL868AwKRJ9c86Z9eEYdiydetzLcDl ffRbt77w+tixUx4Q8dcAsjoM9V6ibZemUisG7RTc2fn3raNGVT3C7L8AyIuA3KPa1dTW9sAA 43L8+A9nAG1RDZ/YsuX59l1c2mEAINz747kE/hkyYUzTAeAU8OJAb+YJbN+axIUX9uUsVFcf P4Y59gCz7XMRRnq5bgTcZ1tbmwdE/3YHiUTjqcz2hyIhFzo/WRHJnptKlXZwTSSOGE007kEi ryHv2mT2IZK9NZXSrw3SHnkY72MwKb6i1sQidyJFLgPntiFI31Qs5ABAFD+dyDYU+rMQiChU 1WveqZADQCq1/Cci4T3MUfAkV3TBgLmopmbWwaW0T24F9ApVt7E4EZ/InDZtms4cZPhhvI9h Nas/JnaHRW2eXa4XAlmQrehHS8yYyGwon7iV60e4DSCvtjbZKAKfSAVgISIVCXN/q4hE/xKF 4pxxRCxEgThnxNqo8U+UVyyrVN3xRDwi348RoJEiZsAvUqgG64koG+W8I985IG6t1O7xlRvG ewoWsQ0PIZz4POKxA5DpBpwAvl8GY76EW299FGefnc/lUJGeH6piLrOtzrcGBnQMkbk26sgK FAf1iKI6SMpV3kVgNSYfDfThedB8dDBquiOBquSKA/NNK8P7xo9v+1NHX8vSKC04k+HLibxJ BdXFQjVYDXSXBKuGMQzGvAu3auh+AeZC9VI2AxA3YHv4sWLitraHXwLw01zZWO5otBWL5Du0 al+dJ5H0teGJGhcBRERE4FyNoAHIAvAQtSeOAzQKOSM51xu8VzX4+apVq0qM3HSaTycy8wvt GKIIaxjSXanUL0q8FcMYRiTZHD6GTGY74n70SxWqwIgyH3FvPpqaSqJzRO5nqm6dMYWaxtLi X0a+rW/hgdi9TzRm1NZBVVeFIT9dPIeqqsZ/AehbhRx1yu3mbp0xmQF+8GEMI/Kje2OfQbrr N4h5RyMTKhiKMCSIJsGj/gNAn6urtbW5JZFovBWwi3O7db7LUlEiUq7pmZb0JuwzMEtpi/9b 2mBBBCqitxZH/aLfsNEbjRkxViQD7vuVPoZq+LNUasVutYAYxvsDkaDPm+f0J9+/CD3pByDZ ECGAjCNI1kN5bECOczYr343Hs48DAJETAAhDVoCVKFRmK9F3oUZ5Hqz5nyIMgkABo0SsQFTU Ef0NGBOTdDqdO2aUKKPt7QeVtNLwPDtSlR8Kw56HVREU5YUE27YFJbnvwxjGMIbxvsL/AzAs DuhtZVm+AAAAAElFTkSuQmCC <for each="shipment in records"> <shipment.report_linkage_title or ''> Desk <shipment.report_linkage_desk or ''> B/L Date <shipment.report_linkage_bl_date or ''> Book <shipment.report_linkage_book or ''> Trading Unit <shipment.report_linkage_trading_unit or ''> Strategy <shipment.report_linkage_strategy or ''> Finance user <shipment.report_linkage_finance_user or ''> 1- Financial summary ( USD ) 2- Information Group Cost Type Estimated Validated <for each="row in shipment.report_linkage_summary_rows"> <if test="row['kind'] == 'pnl'"> <row['group']> <row['cost_type']> <row['estimated']> <row['validated']> </if> <if test="row['kind'] == 'cost'"> <row['group']> <row['cost_type']> <row['estimated']> <row['validated']> </if> <if test="row['kind'] != 'pnl' and row['kind'] != 'cost'"> <row['group']> <row['cost_type']> <row['estimated']> <row['validated']> </if> </for> 3- Loading and Discharge movements Type Reference Counterpart Commodity Quantity Delivery Basis Period at From To <for each="row in shipment.report_linkage_movement_rows"> <row['type']> <row['reference']> <row['counterpart']> <row['commodity']> <row['quantity']> <row['delivery']> <row['basis']> <row['period']> <row['from_date']> <row['to_date']> </for> 4- Bank Information Deal <shipment.report_linkage_bank_deal or ''> Type <shipment.report_linkage_bank_type or ''> Financing Bank <shipment.report_linkage_bank_name or ''> LC Type <shipment.report_linkage_lc_type or ''> LC Number <shipment.report_linkage_lc_number or ''> LC Amount <shipment.report_linkage_lc_amount or ''> LC Expiry Date <shipment.report_linkage_lc_expiry_date or ''> 5- Pricing Deal Type Type Symbol Period Input Price <for each="row in shipment.report_linkage_pricing_rows"> <row['deal']> <row['side']> <row['type']> <row['symbol']> <row['period']> <row['input_price']> </for> <shipment.report_linkage_title or ''> Desk <shipment.report_linkage_desk or ''> B/L Date <shipment.report_linkage_bl_date or ''> Book <shipment.report_linkage_book or ''> Trading Unit <shipment.report_linkage_trading_unit or ''> Strategy <shipment.report_linkage_strategy or ''> Finance user <shipment.report_linkage_finance_user or ''> 6- Financial details ( USD ) Group Cost Type Counterpart Source Unit Price Quantity Estimated Validated <for each="row in shipment.report_linkage_detail_rows"> <if test="row['kind'] == 'pnl'"> <row['group']> <row['cost_type']> <row['counterpart']> <row['source']> <row['unit_price']> <row['quantity']> <row['estimated']> <row['validated']> </if> <if test="row['kind'] != 'pnl'"> <row['group']> <row['cost_type']> <row['counterpart']> <row['source']> <row['unit_price']> <row['quantity']> <row['estimated']> <row['validated']> </if> </for> Oliver Gysler Jeremie COLLOT Stephane Monnard Steve Zaccarini </for>