Received: from malur.postgresql.org ([217.196.149.56]) by arkaria.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.96) (envelope-from ) id 1vj0QR-003ZlL-2k for pgsql-hackers@arkaria.postgresql.org; Thu, 22 Jan 2026 19:33:04 +0000 Received: from localhost ([127.0.0.1] helo=malur.postgresql.org) by malur.postgresql.org with esmtp (Exim 4.96) (envelope-from ) id 1vj0QQ-00ELSn-0E for pgsql-hackers@arkaria.postgresql.org; Thu, 22 Jan 2026 19:33:02 +0000 Received: from magus.postgresql.org ([2a02:c0:301:0:ffff::29]) by malur.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_256_GCM_SHA384 (Exim 4.96) (envelope-from ) id 1vj0QP-00ELSU-1m for pgsql-hackers@lists.postgresql.org; Thu, 22 Jan 2026 19:33:02 +0000 Received: from mail-ed1-x536.google.com ([2a00:1450:4864:20::536]) by magus.postgresql.org with esmtps (TLS1.3) tls TLS_ECDHE_RSA_WITH_AES_128_GCM_SHA256 (Exim 4.96) (envelope-from ) id 1vj0QN-001xXd-04 for pgsql-hackers@postgresql.org; Thu, 22 Jan 2026 19:33:01 +0000 Received: by mail-ed1-x536.google.com with SMTP id 4fb4d7f45d1cf-64b9cb94ff5so1866906a12.2 for ; Thu, 22 Jan 2026 11:32:58 -0800 (PST) ARC-Seal: i=1; a=rsa-sha256; t=1769110376; cv=none; d=google.com; s=arc-20240605; b=J6Z+itMtgCegbxvOIXFyF2CV8/X/JWmLjzPfyYPPDuMUfqp30VuaLSjrR4DfhlIYDR 4N65mFqf66T3chvEioqlsDDBjMSyZgOxfESVKyApJJDDseyDIIbq/PDgyvcIv7zB2jHL v2GnW0WJCnuX3HShSZGhez1RUEHQrquYQPZUdIO61qQ12nhEx3JoGVvubusZI9MEdGQS 7wYtiw4MZhXb4T9fmYIsjxGO9Vawgnhs9SW0SCwOCOazk5ayw75okdiOzw+pBxYxJBrE pc29slAPYUF/4T2GxgTeXPeBuU57Kr/aRa7D0Tf81goZNc6iCAtYpiuEaym4B/lIZZFJ jWoA== ARC-Message-Signature: i=1; a=rsa-sha256; c=relaxed/relaxed; d=google.com; s=arc-20240605; h=cc:to:subject:message-id:date:from:in-reply-to:references :mime-version:dkim-signature; bh=Hsx0K8v7uJ+KI7EKI+ERNr9q4RO7A8n2tgOZsvXHzm0=; fh=JZZ2ZoacwAUHOMZXIki7/V5yjaLib8WhjF6P2X/hsBQ=; b=AXEF2kvFdLBTGmgWIRfSk7LaaRey0lyT9fp2cvt4dBLJRtMPLKqYs5nibgw+Rmlhcb oOR8vcyDUkhkWcudNh4IswWJ+yRK2klfkc8zWfnq0T2R+aDAJ7ZOYJE/IDs+bxvt98zx ZCtAEDKGEb98pqg3chfy9hIMSwtY52/ZNjxPmVmVsphP0lnHRQKqOG+XIYPxfrlBlnjQ AhYG0v5D1kdPNPtL1Ex1yCURDhQfi+v+YVN+gsYU/htjBiuKajU8DjNENeWOQZcZy+ln lOImPn+YV0KhWr5ca3DLr7bLczxBzoJwMSrrbOfFkSvBJd8N4+tU0iEdIHNBicQaeufL hxeQ==; darn=postgresql.org ARC-Authentication-Results: i=1; mx.google.com; arc=none DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=esi.dz; s=google; t=1769110376; x=1769715176; darn=postgresql.org; h=cc:to:subject:message-id:date:from:in-reply-to:references :mime-version:from:to:cc:subject:date:message-id:reply-to; bh=Hsx0K8v7uJ+KI7EKI+ERNr9q4RO7A8n2tgOZsvXHzm0=; b=W74bARqr9T6oLIvVLYlH7/hKGTYZBsvNCMHV65DHKGjSkjGnx6Q0IwaMC6kY2Lhj6N gM2vAZhqVv+CNZC1auZixamqoGfKfh0tpY7G4i7fF6bxDx/LBUdwdt8+w5hkljPsn32p sE6tomlyfHuTZ4D5zvwneDDOia5TGScAMusOcDGlASRtaGwDtAib6DCUzmA5ZsxOoYHv NXVmANF4NTRRDx60Hox3XZsT2bQ37N1VCD4WHQqUmMgjmcq2fykKTc6zU0OwXtuw+8n5 pF7EdkNBH63A6fK4d/LU4vlYs0Z4jpkuuwqA31kTH5Msz6AFXrYjJyaW+DlzlR6Cq8s2 2SgA== X-Google-DKIM-Signature: v=1; a=rsa-sha256; c=relaxed/relaxed; d=1e100.net; s=20230601; t=1769110376; x=1769715176; h=cc:to:subject:message-id:date:from:in-reply-to:references :mime-version:x-gm-gg:x-gm-message-state:from:to:cc:subject:date :message-id:reply-to; bh=Hsx0K8v7uJ+KI7EKI+ERNr9q4RO7A8n2tgOZsvXHzm0=; b=bScc5LvMWlGXto54iF1hxgB9czsQXnNH/Im9skrwzrJn/B6SqxOLAt0N+mhRpcOzci ST+1iJFtHdBdy6kHk2I7JWkIO6XvSSl7nHntm2DaF1eM1PWZVz3+cYd9/mRvnyEN3HUH Tfx52ZudO6HBdAqO1pJYhwXL99LiGwx1syIKE19l0229vmjIapn1yCeZM45RCox77DK2 J9vLGzP8efRrkle+qYS/O2GlVJcdiT29xawqZgSf/Wm0KS8CjRTfSCsRhLL/rlKmp6l+ mo7B8kXBXTbX0MIyR3w7UFpRR1Sf7yVC6w8FQ+nqK/fBSRSbycyImPcs5WQMNVCOgkY2 IPMw== X-Forwarded-Encrypted: i=1; AJvYcCXJyCV36o0OoNsuMGQooox/nqjs6oUyuciB6xZ7BCeFpQWtLXL85YTAjOMwUFF/7+poRdrS6ZbQtho7cUuV@postgresql.org X-Gm-Message-State: AOJu0YxS1/nkABuq5VhrLdbaRtEVwtuRWyhg00MvxSw/29z9uhfDbTlX /kae8c6mZl0hvlrEBr1sxU09qvIH6etDqEGxVvT17TZF15f+sOVtalSdgCiWDsiZp73tt96Ql/V Pc2RudKzekxDCUUPxSS3QQvnF8pDxO6tiaWfToBB5 X-Gm-Gg: AZuq6aJSRGCb2uDrizfrZn8FlfDmHBFNBX6hEfK2COqNN6+90BGRvD231vxGLubwfpe wXwnG6orccZkxLLa7VJXtMBlURMkQCDIZnqHExbmJjplo5IvaZpEWuY98xBoHiXTkFwHyKybyPa Tva+2wVFaMhtZa26U+7o9XFYaqfZ9U77CBUpiJEUxHSqzB0UfdtzSg16hYosl+fSQygpM/J5YFr Ydv4pvfnTcuxsRStYUTZuAY8H9PQw/S+Cw36L3mqWEwvVK+aeCtGYAJXmUisT8+wQGOj6lfOT+g o7EktTzqI/9ov8xZE6FuFbtSEbJrpQ== X-Received: by 2002:a05:6402:3491:b0:64b:4037:6f5c with SMTP id 4fb4d7f45d1cf-6584879fe11mr456486a12.19.1769110375764; Thu, 22 Jan 2026 11:32:55 -0800 (PST) MIME-Version: 1.0 References: <5d81fbbb-7609-4445-9bc4-8af211fb7674@dunslane.net> <8e226753-57af-489a-bfbe-caa23dd71286@dunslane.net> In-Reply-To: From: KAZAR Ayoub Date: Thu, 22 Jan 2026 20:32:43 +0100 X-Gm-Features: AZwV_Qg0Z-_u2A-LZBnK7Ir5IZs4iphRAEf63hpjeoLghjN94UDeAe76uJjZTvM Message-ID: Subject: Re: Speed up COPY FROM text/CSV parsing using SIMD To: Neil Conway Cc: Nazir Bilal Yavuz , Manni Wood , Nathan Bossart , Andrew Dunstan , Shinya Kato , PostgreSQL-development Content-Type: multipart/mixed; boundary="000000000000845b030648ff1b93" List-Id: List-Help: List-Subscribe: List-Post: List-Owner: List-Archive: Archived-At: Precedence: bulk --000000000000845b030648ff1b93 Content-Type: multipart/alternative; boundary="000000000000845b000648ff1b91" --000000000000845b000648ff1b91 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable On Wed, Jan 21, 2026 at 9:50=E2=80=AFPM Neil Conway = wrote: > A few suggestions: > > * I'm curious if we'll see better performance on large inputs if we flush > to `line_buf` periodically (e.g., at least every few thousand bytes or so= ). > Otherwise we might see poor data cache behavior if large inputs with no > control characters get evicted before we've copied them over. See the > approach taken in escape_json_with_len() in utils/adt/json.c > Hello Neil, thanks for the suggestions! This might be true as the json code considers it, i'll take a look later. > > * Did you compare the approach taken in the patch with a simpler approach > that just does > > if (!(vector8_has(chunk, '\\') || > vector8_has(chunk, '\r') || > vector8_has(chunk, '\n') /* and so on, accounting for CSV / escapec > / quotec stuff */)) > { > /* skip chunk */ > } > > That's roughly what we do elsewhere (e.g., escape_json_with_len). It has > the advantage of being more readable, along with potentially having fewer > data dependencies. > This is true and also similar to the concerns of the very first patches where i tried to just replace the special chars detection by something less dependent but I missed vector8_has. I have tried this now and here are my thoughts and results: v5: the simplest of all, we take a chunk, detect any special character, if it's clean then skip it all, otherwise fallback to scalar WITHOUT advancing to the first special char found, this is mentioned just for reference and comparison. Numbers compared to master: text, no special: +16.8% text, 1/3 special: -21.3% csv, no special: +29.5% csv, 1/3 special: -33.5% v5.1: Take a chunk, if its clean of specials, skip it, if not process the whole chunk byte-by-byte, retry the same thing for next chunk if it's fully skippable and so on... Numbers: text, no special: +16.5% text, 1/3 special: -20.1% (weird) ; but overall the idea is clear maybe. csv, no special: +29.4% csv, 1/3 special: -4.4% For files of 1/3 specials it's almost always terrible to consider simd because it will always fall back to scalar without even advancing to the first special character, even for something less than 1/3 i think it would be same case, i attached an extremely simple analysis on probability of having a 16 byte clean chunk depending on data we have. Attached also is an overall comparison graph between master, v3, v5.1 (with patch) Regards, Ayoub --000000000000845b000648ff1b91 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable
On Wed, Jan 21, 2026 at 9:50=E2=80=AFPM Neil Conway &= lt;neil.conway@gmail.com> w= rote:
A few suggestions:<= br>
* I'm curious if we'll see better performance on large input= s if we flush to `line_buf` periodically (e.g., at least every few thousand= bytes or so). Otherwise we might see poor data cache behavior if large inp= uts with no control characters get evicted before we've copied them ove= r. See the approach taken in=C2=A0escape_json_with_len() in utils/adt/json.= c=C2=A0
Hello Neil, thanks for the suggestions!=C2= =A0
This might be true as the json code considers it, i'll ta= ke a look later.

* Did you compare the approach taken in t= he patch with a simpler approach that just does

if= (!(vector8_has(chunk, '\\') ||
=C2=A0 =C2=A0 =C2=A0 vect= or8_has(chunk, '\r') ||
=C2=A0 =C2=A0 =C2=A0 vector8_has(= chunk, '\n') /* and so on, accounting for CSV / escapec / quotec st= uff */))
{
=C2=A0 =C2=A0 /* skip chunk */
}

That's roughly what we do elsewhere (e.g., esca= pe_json_with_len). It has the advantage of being more readable, along with = potentially having fewer data dependencies.
Th= is is true and also similar to the concerns of the very first patches where= i tried to just replace the special chars detection by something less depe= ndent but I missed=C2=A0vector8_has.
I have tried this now and he= re are my thoughts and results:

v5: the simplest o= f all, we take a chunk, detect any special character, if it's=C2=A0clea= n then skip it all, otherwise fallback to scalar WITHOUT advancing to the f= irst special char found, this is mentioned just for reference and compariso= n.=C2=A0
Numbers compared to master:
text, no special:= =C2=A0+16.8%
text, 1/3 special: -21.3%
csv, no special:=C2=A0+29.5%csv, 1/3 special: -33.5%

v5.1: Take a chunk, if = its=C2=A0clean of specials, skip it, if not process the whole chunk byte-by= -byte, retry the same thing for next chunk if it's fully skippable and = so on...
Numbers:
text, no special:=C2=A0+16.5%
= text, 1/3 special: -20.1% (weird) ; but overall the idea is clear maybe.csv, no special:=C2=A0+29.4%
csv, 1/3 special: -4.4%

=
For files of 1/3 specials it's almost always terrible to con= sider simd because it will always fall back to scalar without even advancin= g to the first special character, even for something less than 1/3 i think = it would be same case, i attached an extremely simple analysis on probabili= ty of having a 16 byte clean chunk depending on data we have.
Attached also is an overall comparison graph between master, v3= , v5.1 (with patch)


Regards,
Ayoub
=C2=A0
--000000000000845b000648ff1b91-- --000000000000845b030648ff1b93 Content-Type: image/png; name="proba-spec-chars-chunk.png" Content-Disposition: attachment; filename="proba-spec-chars-chunk.png" Content-Transfer-Encoding: base64 Content-ID: X-Attachment-Id: f_mkpt5e340 iVBORw0KGgoAAAANSUhEUgAAAoAAAAG7CAYAAABTmCTQAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90 bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9h AAAPYQGoP6dpAACorUlEQVR4nOzdd1gUVxfA4d/SO4g0RQTsJSiKJVYs2GKNxhq7pthLTKJJ7FFT NFETjcZuYosliYld7L2ixt4QGyoqIKK0ne+PDfu5ARRkYSjnfZ593L07c++ZZcXjnVs0iqIoCCGE EEKIfMNE7QCEEEIIIUT2kgRQCCGEECKfkQRQCCGEECKfkQRQCCGEECKfkQRQCCGEECKfkQRQCCGE ECKfkQRQCCGEECKfkQRQCCGEECKfkQRQCCGEECKfkQRQCCGEECKfkQRQCCGEECKfkQRQGEVMTAx9 +/bFw8MDjUbD0KFDAbh37x7vvPMOBQsWRKPRMH36dFXjzIi0rik/8/HxoWfPngZlly9fpnHjxjg6 OqLRaPjjjz9Uie2/Fi9ejEajITQ0VO1Qsk1oaCgajYbFixerHUqm1atXjzfeeEOVtnft2oVGo2HN mjWqtJ9eyT/vqVOnGq3OcePGodFoiIiIeOWx//19kPy57dq1S1/Ws2dPfHx8jBafMB4ztQMQOdfi xYvp1atXmu8fPHiQN998E4DJkyezePFiRo8eTfHixSlbtiwAw4YNY8uWLYwdOxYPDw+qVKli9Dgn T55MuXLlaNOmjdHrTe2ahKEePXpw/fp1Jk2ahJOTU5b8jI1l9uzZ2NjYpEhihRDZIzY2lm+++YZ6 9epRr149tcPJ1yQBFK80YcIEfH19U5SXKFFC/3zHjh28+eabjB071uCYHTt20Lp1a0aMGJFl8U2e PJl33nnH6AlgWteUn128eBETk//fOHj27BkHDx7k888/Z+DAgSpGllK3bt3o1KkTlpaW+rLZs2fj 4uIiCaAQRvDf3wepmTdvHlqtVv86NjaW8ePHA0gCqDJJAMUrNWvW7JW9Ovfv36dcuXKpljs5OWVR ZFkrrWvKz15MpgAePHgAYNSf8dOnT7G1tc10PaamppiamhohIiGyT2xsLDY2NmqHkS7//X2QGnNz 82yIRLwOGQMoMiV5zMf169fZsGEDGo1GPwZJo9GgKAqzZs3SlyeLjIxk6NCheHl5YWlpSYkSJfj6 668N/qcIoNVqmTFjBn5+flhZWeHq6krTpk05duwYABqNhqdPn7JkyRJ9G6/q3bl//z59+vTB3d0d KysrKlasyJIlS155TS8bS6bRaBg4cCB//PEHb7zxBpaWlpQvX57NmzenOPbkyZM0a9YMBwcH7Ozs aNiwIYcOHTI4Jvnz279/P8OHD8fV1RVbW1vefvttfdL1Mi8bC6bRaBg3bpz+dfKYnytXrtCzZ0+c nJxwdHSkV69exMbGGpz74pifcePG4e3tDcDHH3+MRqMxGOuTkevcvXs3/fv3x83NjSJFigD/HwN2 +vRpAgMDsbGxoUSJEvpxWbt376Z69epYW1tTunRptm/fnmrdyT83Hx8fzp49y+7du/U/03r16nHt 2jU0Gg3ff/99is/qwIEDaDQaVqxY8dLP+1XfKTAcr/Xzzz9TvHhxLC0tqVq1KkePHn1p/ckiIyMZ NmwYPj4+WFpaUqRIEbp37/7K8VoXLlzgnXfewdnZGSsrK6pUqcL69esNjnn06BEjRozAz88POzs7 HBwcaNasGadOnTI4Lvnvx2+//cakSZMoUqQIVlZWNGzYkCtXrqTrOgA2bdpEYGAg9vb2ODg4ULVq VZYvX57iuHPnzlG/fn1sbGzw9PTkm2++MXg/rbGeqY1HS/5OvarO1MTFxdGiRQscHR05cOBAmscl t7tq1So+++wzPDw8sLW1pVWrVty8edPg2OR4jh8/Tt26dbGxseGzzz4D0vedetH333+Pt7c31tbW BAYG8s8//xi8f/r0aXr27EmxYsWwsrLCw8OD3r178/Dhw1Tri4iIoEOHDjg4OFCwYEGGDBnC8+fP DY5JbUzwf704BjA0NBRXV1cAxo8fr/97OG7cOBYtWoRGo+HkyZMp6pg8eTKmpqbcvn37pW2JjJEe QPFKUVFRKf6B0Wg0FCxYkLJly/LLL78wbNgwihQpwkcffQRApUqV+OWXX+jWrRuNGjWie/fu+nNj Y2MJDAzk9u3bfPDBBxQtWpQDBw4watQo7t69azBRpE+fPixevJhmzZrRt29fEhMT2bt3L4cOHaJK lSr88ssv9O3bl2rVqvH+++8DULx48TSv5dmzZ9SrV48rV64wcOBAfH19Wb16NT179iQyMpIhQ4ak eU3Jv7jSsm/fPtatW0f//v2xt7dn5syZtGvXjrCwMAoWLAjA2bNnqVOnDg4ODnzyySeYm5szd+5c 6tWrp09oXjRo0CAKFCjA2LFjCQ0NZfr06QwcOJBVq1a94qeWcR06dMDX15cpU6Zw4sQJ5s+fj5ub G19//XWqx7dt2xYnJyeGDRtG586deeutt7Czs3ut6+zfvz+urq6MGTOGp0+f6ssfP35MixYt6NSp E+3bt+enn36iU6dOLFu2jKFDh/Lhhx/SpUsXvv32W9555x1u3ryJvb19qvFOnz6dQYMGYWdnx+ef fw6Au7s7xYoVo1atWixbtoxhw4YZnLNs2TLs7e1p3bp1mp9ber5TL1q+fDlPnjzhgw8+QKPR8M03 39C2bVuuXbv20t6SmJgY6tSpw/nz5+nduzeVK1cmIiKC9evXc+vWLVxcXFI97+zZs9SqVQtPT09G jhyJra0tv/32G23atGHt2rW8/fbbAFy7do0//viD9u3b4+vry71795g7dy6BgYGcO3eOwoULG9T7 1VdfYWJiwogRI4iKiuKbb77h3Xff5fDhw2leQ7LFixfTu3dvypcvz6hRo3BycuLkyZNs3ryZLl26 6I97/PgxTZs2pW3btnTo0IE1a9bw6aef4ufnR7NmzV7ZTmpep85nz57RunVrjh07xvbt26lateor 25k0aRIajYZPP/2U+/fvM336dIKCgggJCcHa2lp/3MOHD2nWrBmdOnWia9euuLu7Z/g7tXTpUp48 ecKAAQN4/vw5M2bMoEGDBpw5cwZ3d3cAtm3bxrVr1+jVqxceHh6cPXuWn3/+mbNnz3Lo0CGD/6CD 7veBj48PU6ZM4dChQ8ycOZPHjx+zdOnSjH7keq6urvz000/069ePt99+m7Zt2wJQoUIFfH19GTBg AMuWLaNSpUoG5y1btox69erh6en52m2LVChCpGHRokUKkOrD0tLS4Fhvb2+lefPmKeoAlAEDBhiU TZw4UbG1tVUuXbpkUD5y5EjF1NRUCQsLUxRFUXbs2KEAyuDBg1PUq9Vq9c9tbW2VHj16pOuapk+f rgDKr7/+qi+Lj49XatSoodjZ2SnR0dGvvKbUAIqFhYVy5coVfdmpU6cUQPnhhx/0ZW3atFEsLCyU q1ev6svu3Lmj2NvbK3Xr1tWXJX/2QUFBBtc6bNgwxdTUVImMjHxpPNevX1cAZdGiRanGOnbsWP3r sWPHKoDSu3dvg+PefvttpWDBggZl3t7eBp91cjvffvutwXEZvc7atWsriYmJBnUEBgYqgLJ8+XJ9 2YULFxRAMTExUQ4dOqQv37JlS4rrTa77+vXr+rLy5csrgYGBKT6TuXPnKoBy/vx5fVl8fLzi4uLy yu9Wer9TyZ9VwYIFlUePHumP/fPPPxVA+euvv17azpgxYxRAWbduXYr3kr8jqf3cGzZsqPj5+SnP nz83OL5mzZpKyZIl9WXPnz9XkpKSDOq9fv26YmlpqUyYMEFftnPnTgVQypYtq8TFxenLZ8yYoQDK mTNnXnodkZGRir29vVK9enXl2bNnqV6Hovz/57906VJ9WVxcnOLh4aG0a9dOX5baz/nFOHfu3Jnh OpPPXb16tfLkyRMlMDBQcXFxUU6ePPnSa3vxXE9PT4PfJ7/99psCKDNmzEgRz5w5cwzqyOh3ytra Wrl165b+2MOHDyuAMmzYMH1ZbGxsilhXrFihAMqePXv0Zcm/D1q1amVwbP/+/RVAOXXqlL7sv78P UvvMe/TooXh7e+tfP3jwIMXvoGSdO3dWChcubPA9PHHiRJq/y0TmyC1g8UqzZs1i27ZtBo9Nmza9 dn2rV6+mTp06FChQgIiICP0jKCiIpKQk9uzZA8DatWvRaDSpTsL47/9W02vjxo14eHjQuXNnfZm5 uTmDBw8mJiaG3bt3v95FAUFBQQa9jxUqVMDBwYFr164BkJSUxNatW2nTpg3FihXTH1eoUCG6dOnC vn37iI6ONqjz/fffN7jWOnXqkJSUxI0bN147zrR8+OGHBq/r1KnDw4cPU8T0Kq9zne+9916q4/Xs 7Ozo1KmT/nXp0qVxcnKibNmyBr2Iyc+TP+uM6tChA1ZWVixbtkxftmXLFiIiIujatetLz83od6pj x44UKFBA/7pOnTrpin3t2rVUrFhR32P3orT+Pjx69IgdO3bQoUMHnjx5ov+79vDhQ5o0acLly5f1 t9UsLS31A/qTkpJ4+PAhdnZ2lC5dmhMnTqSou1evXlhYWGT4OrZt28aTJ08YOXIkVlZWL70OOzs7 g8/fwsKCatWqvfbPOaN1RkVF0bhxYy5cuMCuXbvw9/dPdzvdu3c36I1+5513KFSoEBs3bjQ4ztLS MsVqCxn9TrVp08agd6xatWpUr17doK0Xex2fP39ORESEfhWH1H6+AwYMMHg9aNAgfWxZpXv37ty5 c4edO3fqy5YtW4a1tTXt2rXLsnbzK7kFLF6pWrVqRl3a4/Lly5w+fTrNW6r3798H4OrVqxQuXBhn Z2ejtX3jxg1KliyZYuZa8hIvmUmsihYtmqKsQIECPH78GNBNmIiNjaV06dIpjitbtixarZabN29S vnz5NOtMThyS64yKiuLZs2f69y0sLF7783pZWw4ODumu53WuM7VZ5gBFihRJkRQ4Ojri5eWVoiw5 1tfh5OREy5YtWb58ORMnTgR0//B4enrSoEGDl56b0e/Uq36mabl69WqG/xG8cuUKiqIwevRoRo8e neox9+/fx9PTUz/edvbs2Vy/fp2kpCT9MclDGDJyHTExMcTExOjfNzU1xdXVlatXrwKka42/1H7+ BQoU4PTp06881xh1Dh06lOfPn3Py5EmD72t6lCxZ0uC1RqOhRIkSKcYqenp6GiTSkPHv1H/bAihV qhS//fab/vWjR48YP348K1eu1P+OTRYVFfXK+IsXL46JiUmWrqvZqFEjChUqxLJly2jYsCFarZYV K1bQunXrNId2iNcnCaDIdlqtlkaNGvHJJ5+k+n6pUqWyOSLjSGvGqaIoWVbnkCFDDAaGBwYG6geh p+bFf9Qz2lZWerF34kVpxZQVsXbv3p3Vq1dz4MAB/Pz8WL9+Pf3793/lMhcZlZ2fc/KkqhEjRtCk SZNUj0lezmny5MmMHj2a3r17M3HiRJydnTExMWHo0KEpJmfBq69j6tSp+uU+ALy9vTOcPKTns8ro dz0jn3/r1q1ZuXIlX331FUuXLjX6dwHS/u4bW4cOHThw4AAff/wx/v7+2NnZodVqadq0aao/3/96 3bsuGWFqakqXLl2YN28es2fPZv/+/dy5c+eVvfDi9UgCKLJd8eLFiYmJISgo6JXHbdmyhUePHr20 Vysjv5i8vb05ffo0Wq3W4Jf5hQsX9O9nFVdXV2xsbLh48WKK9y5cuICJiUmKnq1X+eSTTwx+OSb3 wiT/GRkZaXB8Vtw6/q+suE5jedl3pWnTpri6urJs2TKqV69ObGws3bp1e2Wd2fWdKl68eIqZna+S fAve3Nz8lX/f1qxZQ/369VmwYIFBeWRkZJoTTF6me/fu1K5dW/86OdFJHibxzz//GKwl+rqy8rve pk0bGjduTM+ePbG3t+enn35K97mXL182eK0oCleuXKFChQqvPDej36n/tgVw6dIl/ezbx48fExwc zPjx4xkzZsxLz3vxvRd75q9cuYJWq830rh6v+n3dvXt3pk2bxl9//cWmTZtwdXVN8z8vInNkDKDI dh06dODgwYNs2bIlxXuRkZEkJiYC0K5dOxRFMehFSPbi/9ZtbW1T/PJPy1tvvUV4eLjBLNrExER+ +OEH7OzsCAwMzODVpJ+pqSmNGzfmzz//NOgJuXfvHsuXL6d27doZutUKUK5cOYKCgvSPgIAAABwc HHBxcdGPp0w2e/bsTF/Hq2TFdRrLy74rZmZmdO7cmd9++43Fixfj5+eXrn+ss+s71a5dO06dOsXv v/+e4r20eg/d3NyoV68ec+fO5e7duynef3FJIVNT0xT1rF69+rWX3ihWrJjBd7NWrVoANG7cGHt7 e6ZMmZJiWZHX6QVNTihf/K4nJSXx888/v1bc/9W9e3dmzpzJnDlz+PTTT9N9XvLM3GRr1qzh7t27 6Zq9nNHv1B9//GHwczpy5AiHDx/Wt5Xc6/nfz/dlW3POmjXL4PUPP/wA8Nqzr5Mlr3GY1t/DChUq UKFCBebPn8/atWvp1KkTZmbSV5UV5FMVr7Rp0yb9/zxfVLNmTYNB/un18ccfs379elq0aEHPnj0J CAjg6dOnnDlzhjVr1hAaGoqLiwv169enW7duzJw5k8uXL+tvVezdu5f69evrd54ICAhg+/btfPfd dxQuXBhfX98Uy4wke//995k7dy49e/bk+PHj+Pj4sGbNGvbv38/06dOzfJzJl19+ybZt26hduzb9 +/fHzMyMuXPnEhcXl661yDKib9++fPXVV/Tt25cqVaqwZ88eLl26ZNQ20pKd15kRAQEB/PTTT3z5 5ZeUKFECNzc3gzF+yf/Y79y5M83lb/4ru75TH3/8MWvWrKF9+/b07t2bgIAAHj16xPr165kzZw4V K1ZM9bxZs2ZRu3Zt/Pz8eO+99yhWrBj37t3j4MGD3Lp1S7/OX4sWLZgwYQK9evWiZs2anDlzhmXL lr3W3/GXcXBw4Pvvv6dv375UrVqVLl26UKBAAU6dOkVsbOxL17pLTfny5XnzzTcZNWqU/m7BypUr 9f+RNIaBAwcSHR3N559/jqOjo36tvpdxdnamdu3a9OrVi3v37jF9+nRKlCjBe++998pzM/qdKlGi BLVr16Zfv37ExcUxffp0ChYsqB9m4+DgQN26dfnmm29ISEjA09OTrVu3cv369TRjuH79Oq1ataJp 06YcPHiQX3/9lS5duqT5PUsva2trypUrx6pVqyhVqhTOzs688cYbBmNCu3fvrt89Sm7/ZqHsn3gs couXLQPDf6blZ2QZGEVRlCdPniijRo1SSpQooVhYWCguLi5KzZo1lalTpyrx8fH64xITE5Vvv/1W KVOmjGJhYaG4uroqzZo1U44fP64/5sKFC0rdunUVa2trBXjlsh337t1TevXqpbi4uCgWFhaKn59f qksMZHQZmNSu87/LJCiKblmDJk2aKHZ2doqNjY1Sv3595cCBAwbHJH/2R48eNShPbZmFtMTGxip9 +vRRHB0dFXt7e6VDhw7K/fv301wG5sGDB6nG8OLyGuldBiaz16kouiUyypcvn6I8vd+11OIPDw9X mjdvrtjb2ytAqkvClC9fXjExMTFYVuNV0vOdetln9d+fSVoePnyoDBw4UPH09FQsLCyUIkWKKD16 9FAiIiIM2vhv21evXlW6d++ueHh4KObm5oqnp6fSokULZc2aNfpjnj9/rnz00UdKoUKFFGtra6VW rVrKwYMHlcDAQIPP6cUlUlK7vvQu17F+/XqlZs2airW1teLg4KBUq1ZNWbFihf79tH7+/11WJPn6 goKCFEtLS8Xd3V357LPPlG3btqW6DEx66kzrGj/55BMFUH788cc0ryv53BUrViijRo1S3NzcFGtr a6V58+bKjRs3DI5NKx5Fyfh3atq0aYqXl5diaWmp1KlTx2C5FkVRlFu3bilvv/224uTkpDg6Oirt 27dX7ty5k+bvg3PnzinvvPOOYm9vrxQoUEAZOHBgimV7XmcZGEVRlAMHDigBAQGKhYVFqt/9u3fv KqampkqpUqVS/WyEcWgUJRtGeAshRC5RqVIlnJ2dCQ4OVjsUkQvt2rWL+vXrs3r1at555x21w8mV IiIiKFSoEGPGjElz9rrIPBkDKIQQ/zp27BghISEGO9cIIbLX4sWLSUpKStckLPH6ZAygECLf++ef fzh+/DjTpk2jUKFCdOzYUe2QhMh3duzYwblz55g0aRJt2rTJ9Ixj8XLSAyiEyPfWrFlDr169SEhI YMWKFSl2qBBCZL0JEyYwfPhw/P399bOORdaRMYBCCCGEEPmM9AAKIYQQQuQzkgAKIYQQQuQzMgkE 3X6Zd+7cwd7ePlv2OxRCCCGEyAxFUXjy5AmFCxd+rX2qJQEE7ty5o9repEIIIYQQr+vmzZsUKVIk w+dJAgj6bXVu3ryp2h6lQgghhBDpFR0djZeX12tvNykJIOhv+zo4OEgCKIQQQohc43WHrskkECGE EEKIfEYSQCGEEEKIfEYSQCGEEEKIfEbGAAohhMgWSUlJJCQkqB2GELmCubk5pqamWVa/JIBCCCGy lKIohIeHExkZqXYoQuQqTk5OeHh4ZMkaxZIACiGEyFLJyZ+bmxs2Njay4L4Qr6AoCrGxsdy/fx+A QoUKGb0NSQCFEEJkmaSkJH3yV7BgQbXDESLXsLa2BuD+/fu4ubkZ/XawTAIRQgiRZZLH/NnY2Kgc iRC5T/Lfm6wYOysJoBBCiCwnt32FyLis/HsjCaAQQgghRD4jCaAQQgiRhXx8fJg+fbr+dXh4OI0a NcLW1hYnJyfV4vqvBQsW0LhxY/3rnj170qZNm0zXq9Fo+OOPPzJdT3YYN24c/v7+2dLWm2++ydq1 a7OlrdRIAiiEEEL8R7169Rg6dGiK8sWLF2c4aTt69Cjvv/++/vX333/P3bt3CQkJ4dKlS5mM1Die P3/O6NGjGTt2rL5sxowZLF68WL2g8oi0vjNffPEFI0eORKvVZn9QSAKYfZ6Ew95pcGGD2pEIIYTI Rq6urgaTYK5evUpAQAAlS5bEzc3tteqMj483VngArFmzBgcHB2rVqqUvc3R0zFE9lHlNs2bNePLk CZs2bVKlfUkAs8vJXyF4Ahz4Ue1IhBBCGEnybdKpU6dSqFAhChYsyIABAwxmbb54C9jHx4e1a9ey dOlSNBoNPXv2BCAsLIzWrVtjZ2eHg4MDHTp04N69e/o6km9Nzp8/H19fX6ysrADd7dW5c+fSokUL bGxsKFu2LAcPHuTKlSvUq1cPW1tbatasydWrV196HStXrqRly5apXluyevXqMXjwYD755BOcnZ3x 8PBg3LhxBudcvnyZunXrYmVlRbly5di2bVuKtm7evEmHDh1wcnLC2dmZ1q1bExoamqLd8ePH4+rq ioODAx9++KFB0qvVapkyZQq+vr5YW1tTsWJF1qxZo39/165daDQagoODqVKlCjY2NtSsWZOLFy8a xPLVV1/h7u6Ovb09ffr04fnz5yninT9/PmXLlsXKyooyZcowe/Zs/XuhoaFoNBrWrVtH/fr1sbGx oWLFihw8eFAfR69evYiKikKj0aDRaPSfmampKW+99RYrV65M/YeSxSQBzC7+XUBjAmEHIOKy2tEI IYQqFEUhNj5RlYeiKFlyTTt37uTq1avs3LmTJUuWsHjx4jRvnR49epSmTZvSoUMH7t69y4wZM9Bq tbRu3ZpHjx6xe/dutm3bxrVr1+jYsaPBuVeuXGHt2rWsW7eOkJAQffnEiRPp3r07ISEhlClThi5d uvDBBx8watQojh07hqIoDBw48KXXsG/fPqpUqfLKa12yZAm2trYcPnyYb775hgkTJuiTPK1WS9u2 bbGwsODw4cPMmTOHTz/91OD8hIQEmjRpgr29PXv37mX//v3Y2dnRtGlTgwQvODiY8+fPs2vXLlas WMG6desYP368/v0pU6awdOlS5syZw9mzZxk2bBhdu3Zl9+7dBu19/vnnTJs2jWPHjmFmZkbv3r31 7/3222+MGzeOyZMnc+zYMQoVKmSQ3AEsW7aMMWPGMGnSJM6fP8/kyZMZPXo0S5YsSdHOiBEjCAkJ oVSpUnTu3JnExERq1qzJ9OnTcXBw4O7du9y9e5cRI0boz6tWrRp79+595eeeFWQh6OziUBhKNoZL m+HEUmg8Ue2IhBAi2z1LSKLcmC2qtH1uQhNsLIz/z16BAgX48ccfMTU1pUyZMjRv3pzg4GDee++9 FMe6urpiaWmJtbU1Hh4eAGzbto0zZ85w/fp1vLy8AFi6dCnly5fn6NGjVK1aFdDd9l26dCmurq4G dfbq1YsOHToA8Omnn1KjRg1Gjx5NkyZNABgyZAi9evVKM/7IyEiioqIoXLjwK6+1QoUK+nGCJUuW 5McffyQ4OJhGjRqxfft2Lly4wJYtW/R1TZ48mWbNmunPX7VqFVqtlvnz5+uXOFm0aBFOTk7s2rVL PwnFwsKChQsXYmNjQ/ny5ZkwYQIff/wxEydOJCEhgcmTJ7N9+3Zq1KgBQLFixdi3bx9z584lMDBQ 396kSZP0r0eOHEnz5s15/vw5VlZWTJ8+nT59+tCnTx8AvvzyS7Zv327QCzh27FimTZtG27ZtAfD1 9eXcuXPMnTuXHj166I8bMWIEzZs3B2D8+PGUL1+eK1euUKZMGRwdHdFoNPqf94sKFy7MzZs30Wq1 mJhkb5+c9ABmp8rddX+eWgGJxh2/IYQQQh3ly5c32KWhUKFC+i280uP8+fN4eXnpkz+AcuXK4eTk xPnz5/Vl3t7eKZI/0CVlydzd3QHw8/MzKHv+/DnR0dGptv/s2TMA/W3ll3mxLTC81uTreDGRTE7Q kp06dYorV65gb2+PnZ0ddnZ2ODs78/z5c4Pb1BUrVjQYN1mjRg1iYmK4efMmV65cITY2lkaNGunr sLOzY+nSpSludb8Yb/J2ai/GW716dYPjX4z36dOnXL16lT59+hi08+WXX2aonZextrZGq9USFxf3 ymONTXoAs1PJxmDnDjH3dD2B5VqpHZEQQmQra3NTzk1oolrb6eXg4EBUVFSK8sjISBwdHQ3KzM3N DV5rNJosmdlpa2ubavmL7Sf3qqVWllZMBQsWRKPR8Pjx41fGkNlrjYmJISAggGXLlqV4L7XkNq06 ADZs2ICnp6fBe5aWlmnG+6rPIa125s2blyJR/O+2bK/bzqNHj7C1tdVv+5adcmwP4KxZs/Dx8cHK yorq1atz5MiRNI+tV6+efnDli4/k7tgcw9RcNxYQdLeBhRAin9FoNNhYmKnyyMiuCqVLl+bEiRMp yk+cOEGpUqWM+ZFQtmxZbt68yc2bN/Vl586dIzIyknLlyhm1rdRYWFhQrlw5zp07l6l6kq/j7t27 +rJDhw4ZHFO5cmUuX76Mm5sbJUqUMHi8mFifOnVK3zOZXI+dnR1eXl6UK1cOS0tLwsLCUtTxYi9q euI9fPiwQdmL8bq7u1O4cGGuXbuWoh1fX990t2NhYUFSUlKq7/3zzz9UqlQp3XUZU45MAFetWsXw 4cMZO3YsJ06coGLFijRp0iTN7tR169bpB1fevXuXf/75B1NTU9q3b5/NkadDpW66P68GQ9QtdWMR QgiRqn79+nHp0iUGDx7M6dOnuXjxIt999x0rVqzgo48+MmpbQUFB+Pn58e6773LixAmOHDlC9+7d CQwMTNfEDGNo0qQJ+/bty1QdQUFBlCpVih49enDq1Cn27t3L559/bnDMu+++i4uLC61bt2bv3r1c v36dXbt2MXjwYG7d+v+/ifHx8fTp04dz586xceNGxo4dy8CBAzExMcHe3p4RI0YwbNgwlixZwtWr Vzlx4gQ//PBDiskZLzNkyBAWLlzIokWLuHTpEmPHjuXs2bMGx4wfP54pU6Ywc+ZMLl26xJkzZ1i0 aBHfffddutvx8fEhJiaG4OBgIiIiiI2N1b+3d+9eg8W3s1OOTAC/++473nvvPXr16kW5cuWYM2cO NjY2LFy4MNXjk6ejJz+2bduGjY1NzkwACxYH79qgaCFkudrRCCGESEWxYsXYs2cPFy5cICgoiOrV q/Pbb7+xevVqmjZtatS2NBoNf/75JwUKFKBu3boEBQVRrFgxVq1aZdR2XqZPnz5s3Lgx1dve6WVi YsLvv//Os2fPqFatGn379mXSpEkGx9jY2LBnzx6KFi1K27ZtKVu2rH75FQcHB/1xDRs2pGTJktSt W5eOHTvSqlUrgyVnJk6cyOjRo5kyZQply5aladOmbNiwIUM9cx07dmT06NF88sknBAQEcOPGDfr1 62dwTN++fZk/fz6LFi3Cz8+PwMBAFi9enKF2atasyYcffkjHjh1xdXXlm2++AeD27dscOHDgpRN0 spJGyap58a8pPj4eGxsb1qxZY7D+UI8ePYiMjOTPP/98ZR1+fn7UqFGDn3/+OV1tRkdH4+joSFRU lMEXMMucWgW/vw+ORWHIKcjmmT9CCJFdnj9/zvXr1w3WrhM5U/v27alcuTKjRo1SNY6ePXsSGRmZ a7aPe12ffvopjx8/fmmu8rK/P5nNXXJc5hEREUFSUpJ+JlMyd3d3wsPDX3n+kSNH+Oeff+jbt2+a x8TFxREdHW3wyFblWoGlI0SFwfVd2du2EEIIkYpvv/0WOzs7tcPIN9zc3Jg4Ub0l4XJcAphZCxYs wM/Pj2rVqqV5zJQpU3B0dNQ/MjJo1CjMraGCbs0mmQwihBAiJ/Dx8WHQoEFqh5FvfPTRRyk6u7JT jksAXVxcMDU1NdgCB+DevXupLqL4oqdPn7Jy5Ur9oo5pGTVqFFFRUfrHizOvsk3ymoDn/4anD7O/ fSGEECIHWrx4cZ6//ZsT5LgE0MLCgoCAAIKDg/VlWq2W4ODgFAtK/tfq1auJi4uja9euLz3O0tIS BwcHg0e2K1QBCvmDNgFOq7MPoBBCCCHypxyXAAIMHz6cefPmsWTJEs6fP0+/fv14+vSpfqZM9+7d Ux2kumDBAtq0aUPBggWzO+TXU/nfJWGOL4GcNRdHCCGEEHlYjtwJpGPHjjx48IAxY8YQHh6Ov78/ mzdv1t8rDwsLS7Fn3sWLF9m3bx9bt25VI+TX49ceto6GiIsQdhC8a6odkRBCCCHygRy3DIwasn0Z mBf9ORBO/gJ+HaDdvOxtWwghspgsAyPE68tXy8DkO1X+XQDy3J8yGUQIIYQQ2UISQLUVrgyFKkJS HJySnUGEEEIIkfUkAVSbRgMB//YCHlskk0GEECIX0Wg0eWrJkl27dqHRaIiMjFQ7lDT5+Pgwffr0 dB+/ePFinJycsiye3EoSwJzA7x2wsIdHV+H6HrWjEUIIAYSHhzNo0CCKFSuGpaUlXl5etGzZ0mCZ MmPKDclXTnD06FHef/99tcPI9SQBzAks7aFCe93z44vUjUUIIQShoaEEBASwY8cOvv32W86cOcPm zZupX78+AwYMUDu8l1IUhcTERLXDyDKurq7Y2NioHUauJwlgTlGlt+7P839DzH11YxFCiHyuf//+ aDQajhw5Qrt27ShVqhTly5dn+PDhHDp0KNVzUuvBCwkJQaPREBoaCsCNGzdo2bIlBQoUwNbWlvLl y7Nx40ZCQ0OpX78+AAUKFECj0dCzZ09AtxnClClT8PX1xdramooVK7JmzZoU7W7atImAgAAsLS3Z t2/fK88D2LhxI6VKlcLa2pr69evr40yLoiiMGzeOokWLYmlpSeHChRk8eLD+fR8fHyZOnEjnzp2x tbXF09OTWbNmGdQRGRlJ3759cXV1xcHBgQYNGnDq1CmDY/766y+qVq2KlZUVLi4uvP322wZtvHgL +LvvvsPPzw9bW1u8vLzo378/MTExaV7DqVOnqF+/Pvb29jg4OBAQEMCxY8deet15UY5cBzBf8vAD zypw+xic/BXqDFc7IiGEMD5FgYRYddo2t9GNu36FR48esXnzZiZNmoStrW2K9zMznmzAgAHEx8ez Z88ebG1tOXfuHHZ2dnh5ebF27VratWvHxYsXcXBwwNraGtDtX//rr78yZ84cSpYsyZ49e+jatSuu rq4EBgbq6x45ciRTp06lWLFiFChQ4JXn3bx5k7Zt2zJgwADef/99jh07xkcfffTS+NeuXcv333/P ypUrKV++POHh4SmSt2+//ZbPPvuM8ePHs2XLFoYMGUKpUqVo1KgRAO3bt8fa2ppNmzbh6OjI3Llz adiwIZcuXcLZ2ZkNGzbw9ttv8/nnn7N06VLi4+PZuHFjmjGZmJgwc+ZMfH19uXbtGv379+eTTz5h 9uzZqR7/7rvvUqlSJX766SdMTU0JCQnB3Nw8XT+/vEQSwJykSm9dAnh8MdQaCibSQSuEyGMSYmFy YXXa/uwOWKRM6P7rypUrKIpCmTJljB5CWFgY7dq1w8/PD4BixYrp33N2dgbAzc1Nn2TGxcUxefJk tm/frt8OtVixYuzbt4+5c+caJIATJkzQJ1npOe+nn36iePHiTJs2DYDSpUtz5swZvv7665fG7+Hh QVBQEObm5hQtWpRq1aoZHFOrVi1GjhwJQKlSpdi/fz/ff/89jRo1Yt++fRw5coT79+9jaWkJwNSp U/njjz9Ys2YN77//PpMmTaJTp06MHz9eX2fFihXTjGno0KH65z4+Pnz55Zd8+OGHaSaAYWFhfPzx x/qfb8mSJdOsOy+TDCMnKf82WDpC5A24tkPtaIQQIl/Kyv0RBg8ezJdffkmtWrUYO3Ysp0+ffunx V65cITY2lkaNGmFnZ6d/LF26lKtXrxocW6VKlQydd/78eapXr25QR3KymJb27dvz7NkzihUrxnvv vcfvv/+eYrzhf+uoUaMG58+fB3S3X2NiYihYsKBBXNevX9fHFRISQsOGDV8ax4u2b99Ow4YN8fT0 xN7enm7duvHw4UNiY1PvaR4+fDh9+/YlKCiIr776KsXnmF9ID2BOYmEDFTvBkbm6JWFKBKkdkRBC GJe5ja4nTq2206FkyZJoNBouXLiQoeqTtyh9MYFMSEgwOKZv3740adKEDRs2sHXrVqZMmcK0adMY NGhQqnUmj2XbsGEDnp6eBu8l96Ale/F2dUbOywgvLy8uXrzI9u3b2bZtG/379+fbb79l9+7d6bqN GhMTQ6FChdi1a1eK95J7PZNvfadHaGgoLVq0oF+/fkyaNAlnZ2f27dtHnz59iI+PT3WyyLhx4+jS pQsbNmxg06ZNjB07lpUrVxqMM8wPpAcwp0neGeTiJoi6rW4sQghhbBqN7jasGo90jP8D3a3YJk2a MGvWLJ4+fZri/bSWaXF1dQXg7t27+rKQkJAUx3l5efHhhx+ybt06PvroI+bN020DamFhAUBSUpL+ 2HLlymFpaUlYWBglSpQweHh5eaV5Dek5r2zZshw5csTgvLQmuLzI2tqali1bMnPmTHbt2sXBgwc5 c+ZMmnUcOnSIsmXLAlC5cmXCw8MxMzNLEZeLiwsAFSpUSPdSO8ePH0er1TJt2jTefPNNSpUqxZ07 r/4PRqlSpRg2bBhbt26lbdu2LFqU/1bgkAQwp3ErC961QUnSjQUUQgiR7WbNmkVSUhLVqlVj7dq1 XL58mfPnzzNz5sw0b5MmJ1fjxo3j8uXLbNiwQT++LtnQoUPZsmUL169f58SJE+zcuVOfHHl7e6PR aPj777958OABMTEx2NvbM2LECIYNG8aSJUu4evUqJ06c4IcffmDJkiVpxp+e8z788EMuX77Mxx9/ zMWLF1m+fDmLFy9+6eeyePFiFixYwD///MO1a9f49ddfsba2xtvbW3/M/v37+eabb7h06RKzZs1i 9erVDBkyBICgoCBq1KhBmzZt2Lp1K6GhoRw4cIDPP/9cPxN37NixrFixgrFjx3L+/PmXjkssUaIE CQkJ/PDDD1y7do1ffvmFOXPmpBn/s2fPGDhwILt27eLGjRvs37+fo0eP6n8G+YoilKioKAVQoqKi 1A5F5591ijLWQVG+KaEoCXFqRyOEEK/t2bNnyrlz55Rnz56pHUqG3blzRxkwYIDi7e2tWFhYKJ6e nkqrVq2UnTt36o8BlN9//13/et++fYqfn59iZWWl1KlTR1m9erUCKNevX1cURVEGDhyoFC9eXLG0 tFRcXV2Vbt26KREREfrzJ0yYoHh4eCgajUbp0aOHoiiKotVqlenTpyulS5dWzM3NFVdXV6VJkybK 7t27FUVRlJ07dyqA8vjxY4P4X3WeoijKX3/9pZQoUUKxtLRU6tSpoyxcuDDVupL9/vvvSvXq1RUH BwfF1tZWefPNN5Xt27fr3/f29lbGjx+vtG/fXrGxsVE8PDyUGTNmGNQRHR2tDBo0SClcuLBibm6u eHl5Ke+++64SFhamP2bt2rWKv7+/YmFhobi4uCht27Y1aOP777/Xv/7uu++UQoUKKdbW1kqTJk2U pUuXGlzDokWLFEdHR0VRFCUuLk7p1KmT4uXlpVhYWCiFCxdWBg4cmGO/ny/7+5PZ3EWjKLL3WHR0 NI6OjkRFReHg4KB2OJCUANP94MldaLdAt1OIEELkQs+fP+f69ev4+vpiZWWldjgii/n4+DB06FCD mbni9b3s709mcxe5BZwTmZpDQE/d8yPzVA1FCCGEEHmPJIA5VUBPMDGDm4cg/MwrDxdCCCGESC9Z BiansveAsq3g7DpdL2CrmWpHJIQQQrzUq7aSEzmH9ADmZNXe0/15ZjU8i1Q1FCGEEELkHZIA5mRF a4Bbed3WSSHL1Y5GCCGEEHmEJIA5mUYD1frqnh+dB1qtuvEIIYQQIk+QBDCn8+sAlg7w6JrsDyyE EEIIo5AEMKeztAP/LrrnR+arG4sQQggh8gRJAHODqv/eBr60GR6HqhqKEEIIIXI/SQBzA5eSULwB oMjC0EIIkQdoNBr++OOP1z6/Z8+etGnTxmjx5AQ+Pj5Mnz5d7TDSNG7cOPz9/TN0TmZ/zllJEsDc ono/3Z8nfoG4GHVjEUKIfOLgwYOYmprSvHnz1zo/raTh7t27NGvWLJPRGU9OT75yghEjRhAcHKx2 GEYjCWBuUSIICpaAuCg4tULtaIQQIl9YsGABgwYNYs+ePdy5c8do9Xp4eGBpaWm0+nKK+Ph4tUPI MnZ2dhQsWFDtMIxGEsDcwsQEqn2ge354jiwJI4QQWSwmJoZVq1bRr18/mjdvzuLFiw3e37VrFxqN huDgYKpUqYKNjQ01a9bk4sWLACxevJjx48dz6tQpNBoNGo1GX0d6bg2ePXuWFi1a4ODggL29PXXq 1OHq1aupHptaD56/vz/jxo0DQFEUxo0bR9GiRbG0tKRw4cIMHjwYgHr16nHjxg2GDRumjzPZvn37 qFOnDtbW1nh5eTF48GCePn1q0O7EiRPp3r07Dg4OvP/+++k67/79+7Rs2RJra2t8fX1ZtmzZSz+L 5M+7WrVq2Nra4uTkRK1atbhx4wbw/57WuXPn4uXlhY2NDR06dCAqKsqgjvnz51O2bFmsrKwoU6YM s2fPNnj/1q1bdO7cGWdnZ2xtbalSpQqHDx82aCPZ0aNHadSoES4uLjg6OhIYGMiJEyfSjD8+Pp6B AwdSqFAhrKys8Pb2ZsqUKa+87qwiCWBu4t9ZtyTMwytwNe90Qwsh8g9FUYhNiFXloShKhmL97bff KFOmDKVLl6Zr164sXLgw1To+//xzpk2bxrFjxzAzM6N3794AdOzYkY8++ojy5ctz9+5d7t69S8eO HdPV9u3bt6lbty6Wlpbs2LGD48eP07t3bxITEzN0DcnWrl3L999/z9y5c7l8+TJ//PEHfn5+AKxb t44iRYowYcIEfZwAV69epWnTprRr147Tp0+zatUq9u3bx8CBAw3qnjp1KhUrVuTkyZOMHj06Xef1 7NmTmzdvsnPnTtasWcPs2bO5f/9+mvEnJibSpk0bAgMDOX36NAcPHuT99983SFavXLnCb7/9xl9/ /cXmzZs5efIk/fv317+/bNkyxowZw6RJkzh//jyTJ09m9OjRLFmyBNAl/IGBgdy+fZv169dz6tQp PvnkE7RpdLg8efKEHj16sG/fPg4dOkTJkiV56623ePLkSarHz5w5k/Xr1/Pbb79x8eJFli1bho+P z0t+allL9gLOTSztoVI3ODQLDv0EJRupHZEQQmTIs8RnVF9eXZW2D3c5jI25TbqPX7BgAV27dgWg adOmREVFsXv3burVq2dw3KRJkwgMDARg5MiRNG/enOfPn2NtbY2dnR1mZmZ4eHhkKNZZs2bh6OjI ypUrMTc3B6BUqVIZquNFYWFheHh4EBQUhLm5OUWLFqVatWoAODs7Y2pqir29vUGcU6ZM4d1332Xo 0KEAlCxZkpkzZxIYGMhPP/2ElZUVAA0aNOCjjz7Sn9e3b9+XnhcWFsamTZs4cuQIVatWBXSfddmy ZdOMPzo6mqioKFq0aEHx4sUBUhz//Plzli5diqenJwA//PADzZs3Z9q0aXh4eDB27FimTZtG27Zt AfD19eXcuXPMnTuXHj16sHz5ch48eMDRo0dxdnYGoESJEmnG1KBBA4PXP//8M05OTuzevZsWLVqk +jMoWbIktWvXRqPR4O3tnWbd2UF6AHObau8BGl0P4INLakcjhBB50sWLFzly5AidO3cGwMzMjI4d O7JgwYIUx1aoUEH/vFChQgAv7c36r2bNmmFnZ4ednR3ly5cHICQkhDp16uiTv8xq3749z549o1ix Yrz33nv8/vvvr+xNPHXqFIsXL9bHZmdnR5MmTdBqtVy/fl1/XJUqVTJ03vnz5zEzMyMgIEB/Tpky ZXByckozFmdnZ3r27EmTJk1o2bIlM2bM0PdUJitatKg++QOoUaMGWq2Wixcv8vTpU65evUqfPn0M 4vryyy/1t9VDQkKoVKmSPvl7lXv37vHee+9RsmRJHB0dcXBwICYmhrCwsFSP79mzJyEhIZQuXZrB gwezdevWdLWTVaQHMLdx9oXSb8HFDbqxgC2+UzsiIYRIN2szaw53Oaxa2+m1YMECEhMTKVy4sL5M URQsLS358ccfcXR01Je/mKQl35JM67ZhaubPn8+zZ88M6rK2Tn+sACYmJiluTyckJOife3l5cfHi RbZv3862bdvo378/3377Lbt3704zyYyJieGDDz7QjxV8UdGiRfXPbW1tM3TepUuv13mxaNEiBg8e zObNm1m1ahVffPEF27Zt480333zluTExutUz5s2bR/Xqhj3QpqamQMY/8x49evDw4UNmzJiBt7c3 lpaW1KhRI82JMJUrV+b69ets2rSJ7du306FDB4KCglizZk2G2jUWSQBzozc/1CWAp1ZAw9FgXUDt iIQQIl00Gk2GbsOqITExkaVLlzJt2jQaN25s8F6bNm1YsWIFH374YbrqsrCwICkp6aXHvNhrlaxC hQosWbKEhISEdPUCurq6GvSIRUdHG/TSgS7BadmyJS1btmTAgAGUKVOGM2fOULly5VTjrFy5MufO nXvpbdDUvOq8MmXKkJiYyPHjx/W3gC9evEhkZOQr665UqRKVKlVi1KhR1KhRg+XLl+sTwLCwMO7c uaNP2g8dOoSJiQmlS5fG3d2dwoULc+3aNd59991U665QoQLz58/n0aNH6eoF3L9/P7Nnz+att94C 4ObNm0RERLz0HAcHBzp27EjHjh155513aNq0abrbMza5BZwb+dQB9zcgIRZOLFU7GiGEyFP+/vtv Hj9+TJ8+fXjjjTcMHu3atUv1NnBafHx8uH79OiEhIURERBAXF5eu8wYOHEh0dDSdOnXi2LFjXL58 mV9++UU/w/i/GjRowC+//MLevXs5c+YMPXr00PdsgW5G8oIFC/jnn3+4du0av/76K9bW1vpxaD4+ PuzZs4fbt2/rk5hPP/2UAwcOMHDgQEJCQrh8+TJ//vlnikkg//Wq80qXLk3Tpk354IMPOHz4MMeP H6dv374v7YG7fv06o0aN4uDBg9y4cYOtW7dy+fJlg3GAVlZW9OjRg1OnTrF3714GDx5Mhw4d9OMa x48fz5QpU5g5cyaXLl3izJkzLFq0iO++091J69y5Mx4eHrRp04b9+/dz7do11q5dy8GDB1ONqWTJ kvzyyy+cP3+ew4cP8+677770Gr777jtWrFjBhQsXuHTpEqtXr8bDw+Olt76zkiSAuZFGA9X/XRLm yDxIer1ZYUIIIVJasGABQUFBBrd5k7Vr145jx45x+vTpdNXVrl07mjZtSv369XF1dWXFivSt41qw YEF27Nihn5kaEBDAvHnz0uwNHDVqFIGBgbRo0YLmzZvTpk0b/WQJACcnJ+bNm0etWrWoUKEC27dv 56+//tKvazdhwgRCQ0MpXrw4rq6ugK5HbPfu3Vy6dIk6depQqVIlxowZY3BbPDXpOW/RokUULlyY wMBA2rZty/vvv4+bm1uaddrY2HDhwgXatWtHqVKleP/99xkwYAAffPCB/pgSJUrQtm1b3nrrLRo3 bkyFChUMlnnp27cv8+fPZ9GiRfj5+REYGMjixYvx9fUFdL21W7duxc3Njbfeegs/Pz+++uorg0T6 RQsWLODx48dUrlyZbt26MXjw4Jdeg729Pd988w1VqlShatWqhIaGsnHjRkxM1EnFNEpG58Vng1mz ZvHtt98SHh5OxYoV+eGHH/SzlVITGRnJ559/zrp163j06BHe3t5Mnz5d3y37KtHR0Tg6OhIVFYWD g4OxLiNrJTyD78tD7ENovwTKt1E7IiGESOH58+dcv34dX19f/axRIYxt3Lhx/PHHH4SEhKgdilG9 7O9PZnOXHNcDuGrVKoYPH87YsWM5ceIEFStWpEmTJmnOqIqPj6dRo0aEhoayZs0aLl68yLx581Id U5GnmFtDFd1aUxz4AXJeHi+EEEKIHCrHJYDfffcd7733Hr169aJcuXLMmTMHGxsbFi5cmOrxCxcu 5NGjR/zxxx/UqlULHx8fAgMDqVixYjZHroJq74OpBdw+BjfVmVUnhBBCiNwnRyWA8fHxHD9+nKCg IH2ZiYkJQUFBaQ7CXL9+PTVq1GDAgAG4u7vzxhtvMHny5JfOuoqLiyM6OtrgkSvZuUGFf1eVP/CD urEIIYQQKhk3blyeu/2b1XJUAhgREUFSUhLu7u4G5e7u7oSHh6d6zrVr11izZg1JSUls3LiR0aNH M23aNL788ss025kyZQqOjo76h5eXl1GvI1vV+Hc21oUN8DD1PSKFEEIIIV6UoxLA16HVanFzc+Pn n38mICCAjh078vnnnzNnzpw0zxk1ahRRUVH6x82bN7MxYiNzKwMlGgGKbns4IYQQQohXyFEJoIuL C6ampty7d8+g/N69e2nuo1ioUCFKlSplME27bNmyhIeHp7kat6WlJQ4ODgaPXK3mv72AIcsg9pG6 sQghRCoysjOGEEInK//e5KidQCwsLAgICCA4OJg2bdoAuosPDg5Oc+HJWrVqsXz5crRarX4tnUuX LlGoUCEsLCyyK3R1+QaCux/cOwPHFkLdEWpHJIQQgO73uomJCXfu3MHV1RULCwv9dmlCiNQpikJ8 fDwPHjzAxMQkS/KZHJUAAgwfPpwePXpQpUoVqlWrxvTp03n69Cm9evUCoHv37nh6ejJlyhQA+vXr x48//siQIUMYNGgQly9fZvLkyanuQZhnaTRQcxD8/j4c+Vn33MxS7aiEEAITExN8fX25e/cud+7c UTscIXIVGxsbihYtmiWLRee4BLBjx448ePCAMWPGEB4ejr+/P5s3b9ZPDAkLCzP4ILy8vNiyZQvD hg2jQoUKeHp6MmTIED799FO1LkEdb7SF7ePgyR04sxoqdVU7IiGEAHS9gEWLFiUxMfGV++IKIXRM TU0xMzPLsh7zHLkTSHbLlTuBpGbfdNg+FtzKQb8Dup5BIYQQQuQ5eW4nEJEJAT3Bwg7un4MrwWpH I4QQQogcShLAvMTaCSp31z3fP13NSIQQQgiRg0kCmNfUGAAmZhC6F24dVzsaIYQQQuRAkgDmNY5F wK+D7vn+79WNRQghhBA5kiSAeVGtIbo/z/8NEZfVjUUIIYQQOY4kgHmRWxko1QxQYP8MtaMRQggh RA4jCWBeVXuY7s/TqyD6rrqxCCGEECJHkQQwrypaHYrWgKR4ODRb7WiEEEIIkYNIApiX1Rqq+/PY IngWqWYkQgghhMhBJAHMy0o21u0KEv8Eji1QOxohhBBC5BCSAOZlJib/nxF8aA4kPFM3HiGEEELk CJIA5nVvtANHL3h6H0KWqR2NEEIIIXIASQDzOlNzqDFQ93z/DEhKUDceIYQQQqhOEsD8oHJ3sHWF yDA4s1rtaIQQQgihMkkA8wMLm//3Au6dBtokdeMRQgghhKokAcwvqvYBKyd4eAXO/aF2NEIIIYRQ kSSA+YWlPbzZX/d8zzTQatWNRwghhBCqkQQwP6n+PljYw/2zcGmz2tEIIYQQQiWSAOYn1gWgWl/d 8z3fgqKoG48QQgghVCEJYH7z5gAws4Y7J+DqDrWjEUIIIYQKJAHMb+xcoUov3fM9U9WNRQghhBCq kAQwP6o5CEwtIOwAhO5XOxohhBBCZLNMJ4Dnz59n7NixNGjQgOLFi1OoUCEqVKhAjx49WL58OXFx ccaIUxiTQ2Go1FX3fPfX6sYihBBCiGz32gngiRMnCAoKolKlSuzbt4/q1aszdOhQJk6cSNeuXVEU hc8//5zChQvz9ddfSyKY09QeBiZmcH033DiodjRCCCGEyEYaRXm9qaC+vr58/PHHdOnSBScnpzSP O3jwIDNmzKBChQp89tlnrxtnloqOjsbR0ZGoqCgcHBzUDif7/DUEji8G30DosV7taIQQQgiRTpnN XV47AUxISMDc3DzLjs9O+TYBjAyDmZVBmwC9NoF3TbUjEkIIIUQ6ZDZ3ee1bwC8mc7du3UrzuEOH DqU4XuQQTkX/PxZw1xR1YxFCCCFEtjHKLODGjRvz6NGjFOX79++nadOmxmhCZJU6H4GJOVzfIzOC hRBCiHzCKAngm2++SePGjXny5Im+bM+ePbz11luMHTvWGE2IrOLkBZW76Z5LL6AQQgiRLxglAZw/ fz5FixalZcuWxMXFsXPnTpo3b86ECRMYNmyYMZoQWan2cF0vYOheCN2ndjRCCCGEyGJGSQBNTExY uXIl5ubmNGjQgFatWjFlyhSGDBlijOpFVnPygsrddc93faVuLEIIIYTIcq89C/j06dMpyp48eULn zp1p3rw5/fr105dXqFDh9SPMBvl2FvCLom7BzEqQFA89/gbfOmpHJIQQQog0qLYMjImJCRqNhhdP f/F18nONRkNSUtLrNJFtJAH814aP4Oh8KFoTem0EjUbtiIQQQgiRiszmLmav2/D169df91SRU9Ue Did+0e0RfDUYSgSpHZEQQgghssBrjwH09vZO9+N1zJo1Cx8fH6ysrKhevTpHjhxJ89jFixej0WgM HlZWVq97afmXoydU7at7vuNLeL3OYSGEEELkcK/dA/hfly9fZufOndy/fx+tVmvw3pgxYzJU16pV qxg+fDhz5syhevXqTJ8+nSZNmnDx4kXc3NxSPcfBwYGLFy/qX2vk9uXrqT1Mtz3cnZNw4W8o21Lt iIQQQghhZK89BvBF8+bNo1+/fri4uODh4WGQfGk0Gk6cOJGh+qpXr07VqlX58ccfAdBqtXh5eTFo 0CBGjhyZ4vjFixczdOhQIiMjXyt+GQP4H8ETYe9UcC0L/faDianaEQkhhBDiBaptBfeiL7/8kkmT JhEeHk5ISAgnT57UPzKa/MXHx3P8+HGCgv4//szExISgoCAOHjyY5nkxMTF4e3vj5eVF69atOXv2 bJrHxsXFER0dbfAQL6g5CKwc4cF5+Get2tEIIYQQwsiMkgA+fvyY9u3bG6MqIiIiSEpKwt3d3aDc 3d2d8PDwVM8pXbo0Cxcu5M8//+TXX39Fq9VSs2bNNPconjJlCo6OjvqHl5eXUWLPM6ydoNa/azju nARJCaqGI4QQQgjjMkoC2L59e7Zu3WqMql5LjRo16N69O/7+/gQGBrJu3TpcXV2ZO3duqsePGjWK qKgo/ePmzZvZHHEuUP1DsHWFx6Fw8le1oxFCCCGEERllEkiJEiUYPXo0hw4dws/PD3Nzc4P3Bw8e nO66XFxcMDU15d69ewbl9+7dw8PDI111mJubU6lSJa5cuZLq+5aWllhaWqY7pnzJwhbqfASbR8Ke b6FiZzCXmdVCCCFEXmCUBPDnn3/Gzs6O3bt3s3v3boP3NBpNhhJACwsLAgICCA4Opk2bNoBuEkhw cDADBw5MVx1JSUmcOXOGt956K93tilQE9IIDP0D0bTi2EGr0VzsiIYQQQhiBURJAYy8KPXz4cHr0 6EGVKlWoVq0a06dP5+nTp/Tq1QuA7t274+npyZQpUwCYMGECb775JiVKlCAyMpJvv/2WGzdu0Ldv X6PGle+YW0HgJ/DXEN2s4EpdwUpmSQshhBC5ndHWATSmjh078uDBA8aMGUN4eDj+/v5s3rxZPzEk LCwME5P/D198/Pgx7733HuHh4RQoUICAgAAOHDhAuXLl1LqEvMP/XV0v4MMrcPBHqP+Z2hEJIYQQ IpOMsg5g7969X/r+woULM9tElpJ1AF/h3J/wW3cwt4XBJ8He/dXnCCGEECLLqLYX8IseP35s8Doh IYF//vmHyMhIGjRoYIwmhJrKtgLPKnD7GOz+Glp8p3ZEQgghhMgEoySAv//+e4oyrVZLv379KF68 uDGaEGrSaKDReFjcXLdN3Jv9waWE2lEJIYQQ4jUZZR3AVCs2MWH48OF8//33WdWEyE4+taFkE1CS YMcEtaMRQgghRCZkWQIIcPXqVRITE7OyCZGdgsYCGt2YwFvH1I5GCCGEEK/JKLeAhw8fbvBaURTu 3r3Lhg0b6NGjhzGaEDmBe3ndgtCnlsO2sdDzb93tYSGEEELkKkZJAE+ePGnw2sTEBFdXV6ZNm/bK GcIil6n/GfyzFm7sg8vboFRjtSMSQgghRAYZJQHcuXOnMaoRuYGTF1R/X7c24PaxUKIhmJiqHZUQ QgghMiBLxwCKPKr2cLByhPvnIGSZ2tEIIYQQIoOMkgDeu3ePbt26UbhwYczMzDA1NTV4iDzGxhnq fqJ7vuNLiHuibjxCCCGEyBCj3ALu2bMnYWFhjB49mkKFCqGRiQF5X7X34Oh8eHwd9s+ABl+oHZEQ Qggh0skoW8HZ29uzd+9e/P39jRBS9pOt4F5T8hZxZtYw6Bg4FlE7IiGEECJfyGzuYpRbwF5eXhgh jxS5TdlWULQGJD6D4IlqRyOEEEKIdDJKAjh9+nRGjhxJaGioMaoTuYVGA00m6Z6fXgm3T6gbjxBC CCHS5bXHABYoUMBgrN/Tp08pXrw4NjY2mJubGxz76NGj149Q5GyeAeDXAc78Blu/gJ4bZHFoIYQQ Iod77QRw+vTpRgxD5GoNx8D59XBjP1zYAGVbqB2REEIIIV7CKJNAcjuZBGIEwRNh71RwLgb9D4OZ hdoRCSGEEHlWjpgEsnHjRrZs2ZKifOvWrWzatMkYTYicrvZQsHWDR9fg8By1oxFCCCHESxglARw5 ciRJSUkpyrVaLSNHjjRGEyKns7SHoLG657u/gSf31I1HCCGEEGkySgJ4+fJlypUrl6K8TJkyXLly xRhN5AnRzxO4G/VM7TCyTsUuULgyxD+B4AlqRyOEEEKINBglAXR0dOTatWspyq9cuYKtra0xmsj1 Fu+/jv/4rUzdckntULKOiQk0+0b3PORXuH1c3XiEEEIIkSqjJICtW7dm6NChXL16VV925coVPvro I1q1amWMJnK94m52aBU4cDUiby+a7VUVKnTSPd/0KWi16sYjhBBCiBSMkgB+88032NraUqZMGXx9 ffH19aVs2bIULFiQqVOnGqOJXK+KtzMWpibcjXrO9YinaoeTtYLGgbkt3DqqWx9QCCGEEDnKa68D +CJHR0cOHDjAtm3bOHXqFNbW1lSoUIG6desao/o8wdrClMreThy69oj9VyIo5mqndkhZx6EQ1B0B weNh21go01w3SUQIIYQQOYJREkAAjUZD48aNady4sbGqzHNql3D5NwF8SLcaPmqHk7VqDIATS+Hx ddg7TdcrKIQQQogcwSi3gEX61CzhAujGASZp8/A4QAAzS2gyWff84Cx4ePXlxwshhBAi20gCmI0q eDpib2lG9PNEzt6JUjucrFe6GRRvCEnxsOkTyMuTX4QQQohcRBLAbGRmakL1YgUB2H/locrRZAON RrcsjKkFXNkOF/5WOyIhhBBCIAlgtqtVIjkBjFA5kmziUgJqDtY93zQS4vP4DGghhBAiFzBaAnj1 6lW++OILOnfuzP379wHYtGkTZ8+eNVYTeULtf8cBHg19xPOElNvn5Ul1PgLHohB9C/Z8q3Y0Qggh RL5nlARw9+7d+Pn5cfjwYdatW0dMTAwAp06dYuzYscZoIs8o4WaHm70lcYlaToQ9Vjuc7GFhA82+ 1j0/8CM8yMO7oQghhBC5gFESwJEjR/Lll1+ybds2LCws9OUNGjTg0KFDxmgiz9BoNNT6txcw39wG BijzFpRqCtoE2PiRTAgRQgghVGSUBPDMmTO8/fbbKcrd3NyIiMhHSU461SyejyaCvKjpV2BmBdf3 wD9r1Y5GCCGEyLeMkgA6OTlx9+7dFOUnT57E09PTGE3kKck9gKdvRRL1LEHlaLKRsy/UHq57vuVz eB6tbjxCCCFEPmWUBLBTp058+umnhIeHo9Fo0Gq17N+/nxEjRtC9e/fXqnPWrFn4+PhgZWVF9erV OXLkSLrOW7lyJRqNhjZt2rxWu9mhsJM1xVxs0Spw+Fo+6wWsNQQK+EJMOOycpHY0QgghRL5klARw 8uTJlClTBi8vL2JiYihXrhx169alZs2afPHFFxmub9WqVQwfPpyxY8dy4sQJKlasSJMmTfSzi9MS GhrKiBEjqFOnzuteSrap+e9yMAeu5rME0NwKmk/TPT88F24fVzceIYQQIh8ySgJoYWHBvHnzuHbt Gn///Te//vorFy5c4JdffsHU1DTD9X333Xe899579OrVi3LlyjFnzhxsbGxYuHBhmuckJSXx7rvv Mn78eIoVK5aZy8kWycvB7MtPE0GSlWgIfu0BBf4aAkmJakckhBBC5CtGSQAnTJhAbGwsXl5evPXW W3To0IGSJUvy7NkzJkyYkKG64uPjOX78OEFBQf8P0sSEoKAgDh48+NIY3Nzc6NOnz2tfR3Z6s1hB NBq4cj+Ge9HP1Q4n+zWZAlZOEH4GDv+kdjRCCCFEvmKUBHD8+PH6tf9eFBsby/jx4zNUV0REBElJ Sbi7uxuUu7u7Ex4enuo5+/btY8GCBcybNy9dbcTFxREdHW3wyG5ONha8UdgRgANX82EvoJ0rNJ6o e75zMjy+oW48QgghRD5ilARQURQ0Gk2K8lOnTuHs7GyMJtL05MkTunXrxrx583BxcUnXOVOmTMHR 0VH/8PLyytIY05I8G3jf5Xw2DjBZpW7gXQsSYmHjCFkbUAghhMgmZpk5uUCBAmg0GjQaDaVKlTJI ApOSkoiJieHDDz/MUJ0uLi6Ymppy7949g/J79+7h4eGR4virV68SGhpKy5Yt9WVarRYAMzMzLl68 SPHixQ3OGTVqFMOHD9e/jo6OViUJrFWiIHN2X2XflQdpJtF5mkYDLabDnFpweSuc/R3eaKt2VEII IUSel6kEcPr06SiKQu/evRk/fjyOjo769ywsLPDx8aFGjRoZqtPCwoKAgACCg4P1S7lotVqCg4MZ OHBgiuPLlCnDmTNnDMq++OILnjx5wowZM1JN7CwtLbG0tMxQXFmhqo8z1uam3IuO4/zdJ5Qr7KB2 SNnPtZRubcDdX8HmkVC8AVg7qR2VEEIIkadlKgHs0aMHAL6+vtSqVQszs0xVpzd8+HB69OhBlSpV qFatGtOnT+fp06f06tULgO7du+Pp6cmUKVOwsrLijTfeMDjfyckJIEV5TmNlbkqtEgXZfv4+Oy/e z58JIECd4bqdQR5ehm2jodUPakckhBBC5GlGGQM4ZswYli9fzrNnz4xRHR07dmTq1KmMGTMGf39/ QkJC2Lx5s35iSFhYWKo7j+RG9Uq7AbDzwsvXOMzTzCyh5Qzd8xNL4douVcMRQggh8jqNomR+5P3Q oUNZvnw5cXFxdOjQgT59+vDmm28aI75sER0djaOjI1FRUTg4ZG8v3O3IZ9T6agcmGjgxuhFONhbZ 2n6OsuEjODofnLyh/0GwsFU7IiGEECJHymzuYpQewOnTp3Pnzh0WLVrE/fv3qVu3LuXKlWPq1Kkp JnMIQ55O1pR2t0erwO5LD9QOR11B48DRCyJvQPBEtaMRQggh8iyjJICgm3Hbtm1b/vzzT27dukWX Ll0YPXo0Xl5etGnThh07dhirqTynXhlXAHZdzOcJoKU9tJyue354DoQdVjUcIYQQIq8yWgKY7MiR I4wdO5Zp06bh5ubGqFGjcHFxoUWLFowYMcLYzeUJDf4dB7jr4n2StPl8LbwSQVCxC6DA+oGQkA93 SRFCCCGymFESwPv37zNt2jTeeOMN6tSpw4MHD1ixYgWhoaGMHz+e+fPns3XrVubMmWOM5vKcyt4F sLcy43FsAqduRaodjvqaTAI7d4i4BLu/VjsaIYQQIs8xSgJYpEgR5s+fT48ePbh16xZr1qyhadOm BgsbV6hQgapVqxqjuTzH3NSEuiX/vQ2cn2cDJ7NxhubTdM/3z4A7IaqGI4QQQuQ1RkkAg4ODOX/+ PB9//DGurq6pHuPg4MDOnTuN0VyeVK+07nPbcVESQADKtoRybUBJgj8HQGKc2hEJIYQQeYZREsA6 deoAulvBe/fuZe/evdy/L4lMRiSvB/jP7WjuR8u4NwDemgo2BeHeP3IrWAghhDAioySAT548oVu3 bnh6ehIYGEhgYCCenp507dqVqKgoYzSR57naW1KhiG4rvV35fTmYZHauur2CAfZ9D7eOqRqOEEII kVcYJQHs27cvhw8f5u+//yYyMpLIyEj+/vtvjh07xgcffGCMJvIF2RUkFeVagV8HULTw+wcQH6t2 REIIIUSuZ5QE8O+//2bhwoU0adIEBwcHHBwcaNKkCfPmzeOvv/4yRhP5QoMyugRw7+UIEpK0KkeT g7z1Ddh5wMMrsEMWiBZCCCEyyygJYMGCBXF0dExR7ujoSIECBYzRRL5QwdORgrYWxMQlciz0sdrh 5BzWBaDVD7rnh2bD9b3qxiOEEELkckZJAL/44guGDx9OeHi4viw8PJyPP/6Y0aNHG6OJfMHERENg Kd1s4J0yG9hQqcZQubvu+Z/9Ie6JuvEIIYQQuZjZ655YqVIlg3X+Ll++TNGiRSlatCgAYWFhWFpa 8uDBAxkHmAH1y7ix7uRtdly4z2dvlVU7nJyl8SS4ugsiw2DL59BqptoRCSGEELnSayeAbdq0MWIY Ilndkq6Ymmi4cj+G6xFP8XWxVTuknMPKAdrMgiUt4cQSKNUUyryldlRCCCFErvPaCeDYsWONGYf4 l6ONOTWKFWTflQi2nA3nw8DiaoeUs/jWhRoD4eCPur2CPQ+CvbvaUQkhhBC5ilHGAL6of//+RERE GLvafKXJGx4AbP4n/BVH5lMNx4D7GxD7UDceUFHUjkgIIYTIVYyeAP76669ER0cbu9p8pUk5dzQa CLkZyd2oZ2qHk/OYWUK7+WBqCVe2w9H5akckhBBC5CpGTwAV6Y3JNDcHKwKK6pbP2Xr2nsrR5FBu ZaHRBN3zrV/A/QvqxiOEEELkIkZPAIVxNJXbwK9W/QMo3hASn8O6vpAYp3ZEQgghRK5g9ATwyZMn FCtWzNjV5jtNyusSwMPXH/LoabzK0eRQGg20mQ02BSH8DOz4Uu2IhBBCiFzBqAlgYmIi27ZtY8GC BWzfvp2kpCRjVp+veDnbUL6wA1oFtp+T28Bpsvf4/y4hB2bClWB14xFCCCFygUwlgIMGDeLvv/8G 4NatW/j5+dGsWTM+//xzmjZtSqVKlbh9+7ZRAs2Pmv7bC7j5rNwGfqkyzaFKH93z3z+AJ5IwCyGE EC+TqQRw9erV+Pj4APDRRx9RpEgRwsPDCQ8P5/79+3h7ezN06FAjhJk/JY8D3Hc5gifPE1SOJodr MgncysPTB7okUKtVOyIhhBAix8pUAhgVFYWtrW6nigMHDjBp0iRcXFwAcHZ2ZsqUKezatSvTQeZX JdzsKOZqS3ySlh0XZG/glzK3hvaLwNwGru2EAzPUjkgIIYTIsTKVAJYqVYojR44AYG9vn2L9vydP nqCVnpjXptFo9LeBt8ht4FdzLQ3NvtE9D54IN4+oG48QQgiRQ2UqARw2bBgjRoxg165djBo1isGD BxMcHMydO3fYuXMnH3zwAW3btjVWrPlS8m3gnRce8DxBJtW8UqWu8MY7oCTBmj7w7LHaEQkhhBA5 zmvvBQzQs2dPHj16RPPmzVEUhaSkJBo3bqx/v1WrVnz//feZDjI/8/N0pLCjFXeinrPn0gMa/9sj KNKg0UCL7+H2MXgcCusHQYdfdOVCCCGEAECjGGHrjsjISLZt28a1a9fQarUUKlSIWrVqUbJkSWPE mOWio6NxdHQkKioKBwcHtcNJYfxfZ1m0P5S2lT35roO/2uHkDrdPwILGoE2Apl/Dmx+qHZEQQghh NJnNXYySAOZ2OT0BPHztIR1/PoSDlRnHRzfC3FQ2cEmXQz/B5pFgYg69NoFXVbUjEkIIIYwis7lL lmYST58+Zc+ePVnZRL5QxccZFztLop8nsvfyA7XDyT2qfwjlWut6AVf3hNhHakckhBBC5AhZmgBe uXKF+vXrZ2UT+YKpiYYWFQoB8GfIHZWjyUU0Gmj1IzgXh+hbsO49WR9QCCGEIIsTQGE8rf0LA7D1 7D2exiWqHE0uYuUAHZaCmRVc2Q57p6kdkRBCCKG6TM0CdnZ2fun7shew8fh7OeFd0IYbD2PZfv4e rf091Q4p9/B4A5p/B3/2h12TdWMBi9VTOyohhBBCNZlKAOPi4ujXrx9+fn6pvn/jxg3Gjx+fmSbE vzQaDa0rFmbmjiv8cfK2JIAZVeldCDsIJ3/RrQ/4wR5wlM9QCCFE/pSpW8D+/v54eXnRo0ePVB+t W7d+7bpnzZqFj48PVlZWVK9eXb/jSGrWrVtHlSpVcHJywtbWFn9/f3755ZfXbjunavVv0rfncgQP Y+JUjiYXeutbcPeD2Aj4rTskymcohBAif8pUAti8eXMiIyPTfN/Z2Znu3btnuN5Vq1YxfPhwxo4d y4kTJ6hYsSJNmjTh/v3U98N1dnbm888/5+DBg5w+fZpevXrRq1cvtmzZkuG2c7ISbna84elAklZh 45m7aoeT+5hbQ8dfwMpJt1D0xo/VjkgIIYRQRY5cB7B69epUrVqVH3/8EQCtVouXlxeDBg1i5MiR 6aqjcuXKNG/enIkTJ77y2Jy+DuCL5u+9xpcbzlPFuwBr+tVUO5zc6UowLHsHFC20mA5VeqkdkRBC CJEhOXodwNcRHx/P8ePHCQoK0peZmJgQFBTEwYMHX3m+oigEBwdz8eJF6tatm5WhqqJFhcJoNHDs xmNuPopVO5zcqURDaDBa93zjx3Az7eEFQgghRF6U4xLAiIgIkpKScHd3Nyh3d3cnPDw8zfOioqKw s7PDwsKC5s2b88MPP9CoUaNUj42LiyM6OtrgkVt4OFpRo1hBANafkjUBX1vtYf9fJHpVN3iS9ndL CCGEyGtyXAL4uuzt7QkJCeHo0aNMmjSJ4cOHs2vXrlSPnTJlCo6OjvqHl5dX9gabSW3+nQzyZ8ht cuAd/NxBo4HWs8C1DMSEw289IDFe7aiEEEKIbJHjEkAXFxdMTU25d++eQfm9e/fw8PBI8zwTExNK lCiBv78/H330Ee+88w5TpkxJ9dhRo0YRFRWlf9y8edOo15DVmrzhgYWpCZfuxXD+7hO1w8m9LO2h 03KwdISbh2DjCJCEWgghRD6Q4xJACwsLAgICCA4O1pdptVqCg4OpUaNGuuvRarXExaW+zIelpSUO Dg4Gj6x24PYB+m/vz9xTczNdl6O1OQ3KuAHw56nbma4vXytYHNrNBzRwYgkc+VntiIQQQogsZ9QE MD4+nlu3bhEWFmbwyKjhw4czb948lixZwvnz5+nXrx9Pnz6lVy/dbM3u3bszatQo/fFTpkxh27Zt XLt2jfPnzzNt2jR++eUXunbtarRry6yHzx+y9/ZedtzcYZT6kreG+yvkDlqt9FplSqnG0Pjf2eKb R+pmCQshhBB5WKZ2Akl2+fJlevfuzYEDBwzKFUVBo9FkeEu4jh078uDBA8aMGUN4eDj+/v5s3rxZ PzEkLCwME5P/565Pnz6lf//+3Lp1C2tra8qUKcOvv/5Kx44dM39xRvJmoTcBOP/wPI+fP6aAVYFM 1Ve/jBv2lmbciXrOoesPqVncxRhh5l81BsL98xCyDFb3gveCwaWk2lEJIYQQWcIo6wDWqlULMzMz Ro4cSaFChdBoNAbvV6xYMbNNZKnsWgew7fq2XH58mW/rfktT36aZrm/UujOsOBJGG//CTO9UyQgR 5nOJcbCkJdw8DAVLQN/tYJ25RF0IIYTICpnNXYzSAxgSEsLx48cpU6aMMarLs2oUqsHlx5c5cOeA URLATlW9WHEkjI3/hDM+NgFHG3MjRJmPmVlCx19hXgN4eEXXE/juGjA1yl8TIYQQIscwyhjAcuXK ERERYYyq8rSahXU7dxy8e9Aoy7dUKOJIGQ974hO1/BEik0GMws4NOq8Acxu4thM2fSIzg4UQQuQ5 RkkAv/76az755BN27drFw4cPc+0iy1mtsntlzE3MCX8azvXo65muT6PR0Kmqbg3DFUfCZE1AY/Hw g7bzAA0cWwAHZ6kdkRBCCGFURkkAg4KCOHToEA0bNsTNzY0CBQpQoEABnJycKFBAxlAlszazprJ7 ZQAO3nn1tnbp8XalIliYmXAh/AlnbkcZpU4BlG0Bjb/UPd/6BZz/S914hBBCCCMyyuCmnTt3GqOa fKFGoRocvnuYg3cO8m7ZdzNdn6ONOW+94cEfIXdYefQmFYo4ZT5IoVNjADy+Dkfnw9r3oOcGKBKg dlRCCCFEphllFnBul12zgEG3DEyHvztgY2bDvk77MDfN/MSNg1cf0nneIewszTjyeUNsLGTSgtEk JcLKznB5K9i66mYGF/BROyohhBD5XGZzF6MuBB0bG8uFCxc4ffq0wUP8X2nn0jhbORObGMupB6eM UuebxZzxKWhDTFwiG07fNUqd4l+mZvDOQt24wKcPYFkHePZY7aiEEEKITDFKAvjgwQNatGiBvb09 5cuXp1KlSgYP8X8mGhOqF6oO6GYDG4NGo6HDv5NBVh7NXfsa5wqW9tDlN7AvDBEXYWVXSHiudlRC CCHEazNKAjh06FAiIyM5fPgw1tbWbN68mSVLllCyZEnWr19vjCbylBqFdHsaG2siCMA7lYtgaqLh +I3HXL73xGj1in85FIZ3fwMLe7ixD35/H7QZ2+FGCCGEyCmMkgDu2LGD7777jipVqmBiYoK3tzdd u3blm2++YcqUKcZoIk+pUViXAJ59eJaoOOPM3HVzsKJBGTcAVkkvYNbw8INOy8DEHM79qds3WIbQ CiGEyIWMkgA+ffoUNzdd8lGgQAEePHgAgJ+fHydOnDBGE3mKh60HxRyLoVW0HL572Gj1Jq8JuO7k beISpXcqSxQLhLZzdc+P/Az7vlc3HiGEEOI1GCUBLF26NBcvXgR0+/7OnTuX27dvM2fOHAoVKmSM JvKcF3cFMZbAUq64O1jy6Gk8W87eM1q94j/eaAdNv9I9Dx4PJ5epG48QQgiRQUZJAIcMGcLdu7rZ p2PHjmXTpk0ULVqUmTNnMnnyZGM0keck3wY+eMc428IBmJma0KlqUQCWHAg1Sp0iDW/2g1pDdM/X D4JLW9WNRwghhMiALFkHMHk5mKJFi+Li4mLs6o0uO9cBTBabEEutlbVI1Cay4e0NFHUoapR67z95 Tq2vdpCQpLB+YC1ZGDorabXwRz84vRLMrKHbOvCuqXZUQggh8oEctQ5gfHw8Fy9exMLCgsqVK+eK 5E8tNuY2+Lv6A3DgzgGj1etmb0WLCoUBWLQ/1Gj1ilSYmEDrH6FkE0h8Bss7wp0QtaMSQgghXsko CWBsbCx9+vTBxsaG8uXLExYWBsCgQYP46quvjNFEnpQ8DtCYCSBAz5o+APx9+g73n8h6dVnK1Bw6 LAHvWhAXDb+2hQeX1I5KCCGEeCmjJICjRo3i1KlT7Nq1CysrK315UFAQq1atMkYTeVJNT10CePju YeKS4oxWb0UvJyoXdSIhSWHZoTCj1SvSYG4NnVdCIX+IfQi/tIFI+dyFEELkXEZJAP/44w9+/PFH ateujUaj0ZeXL1+eq1evGqOJPKmcczncbNyITYzl0J1DRq27Vy1fAJYdviFLwmQHKwfoug5cSkP0 bVjaBmLuqx2VEEIIkSqjbQWXvA7gi54+fWqQEApDGo2GBl4NANhxc4dR6276hgceDlZExMTz9ynZ Hzhb2BaEbr+DY1F4dFWXBMY+UjsqIYQQIgWjJIBVqlRhw4YN+tfJSd/8+fOpUaOGMZrIsxp6NwRg 181dJBlxazFzUxO61fAGYPGBUKMtNSNewdETuv8Bdu5w/ywsbQ3PHqsdlRBCCGHAKAng5MmT+eyz z+jXrx+JiYnMmDGDxo0bs2jRIiZNmmSMJvKsAPcAHCwcePT8ESfvnzRq3Z2rFcXSzIQzt6M4fkOS kGxTsDj0+AtsXCD8NPzSFp4bZ8s/IYQQwhiMkgDWrl2bkJAQEhMT8fPzY+vWrbi5uXHw4EECAgKM 0USeZW5iTj2vegAEhwUbtW5nWwva+HsCsiRMtnMtDT3Wg7Uz3DkBy9pD3BO1oxJCCCGALFoIOrdR YyHoFwXfCGborqF42nmyqe0mo46bPH83mmYz9mJqomHvJ/Up7GRttLpFOtw9BUta6noAvWvBu6vB wlbtqIQQQuRyqi0EHR0dne6HeLmanjWxMrXidsxtLj6+aNS6yxZy4M1iziRpFRbtv27UukU6FKqo mxhi6QA39sOKThAfq3ZUQggh8rnXTgCdnJwoUKDASx/Jx4iXszaz1i8KbezbwADv1y0GwLLDYUTG xhu9fvEKngHQdS1Y2MH1PbC8A8TFqB2VEEKIfMzsdU/cuXOnMePI9xp6N2THzR0EhwUzwH+AUeuu X9qNsoUcOH83mkX7QxnWqJRR6xfp4FVNt07gr+0gdK9uTOC7v4GlvdqRCSGEyIdkDCDqjwEEiIqL InBVIElKEhvf3oiXg5dR6//79B0GLj+Jo7U5+0c2wM7ytXN/kRm3julmBcdFgVd1eHeNbhFpIYQQ IgNUGwP4okWLFrF69eoU5atXr2bJkiXGaCLPc7R0pIp7FcD4i0IDNHujEMVcbIl6lsCyQzeMXr9I pyJVdOsEWjnCzcO6beOeRaoclBBCiPzGKAnglClTcHFxSVHu5ubG5MmTjdFEvtCgqG5XkKwYB2hq ouHDesUBmLf3Os8TZHs41XhWhu7rwboA3D6uWyxadgwRQgiRjYySAIaFheHr65ui3Nvbm7CwMGM0 kS8kJ4Ah90OIeBZh9Prb+HtS2NGKiJg4Vh+7afT6RQYU9v93seiCcDcEFr0FT8LVjkoIIUQ+YZQE 0M3NjdOnT6coP3XqFAULFjRGE/mCh60H5QuWR0Fh181dRq/fwsyEDwJ1vYBzdl8jIUlr9DZEBnj4 Qc+NYOcBD87DwqbwWG7PCyGEyHpGSQA7d+7M4MGD2blzJ0lJSSQlJbFjxw6GDBlCp06djNFEvtGw qG5v4Ky4DQzQsaoXLnYW3I58xp8hd7KkDZEBbmWg92Zw8obH13VJ4INLakclhBAijzNKAjhx4kSq V69Ow4YNsba2xtramsaNG9OgQQMZA5hByQngobuHiHweafT6rcxN6VNbty7g7F1XSNLm+0ng6nP2 1SWBrmXgyR1Y1BTuhKgdlRBCiDzMKAmghYUFq1at4uLFiyxbtox169Zx9epVFi5ciIWFhTGayDeK ORWjdIHSJGoT2RK6JUva6PpmURyszLj24Clbzsq4sxzBobDudnAhf4h9qNs+LnSf2lEJIYTIo4yS ACYrWbIk7du3p0WLFnh7e2eqrlmzZuHj44OVlRXVq1fnyJEjaR47b9486tSpo9+BJCgo6KXH53Qt i7cEYP219VlSv72VOT1r+gAwffsl6QXMKWwLQo/1ULQmxEXr1gs8lzXfASGEEPnbayeAX331Fc+e PUvXsYcPH2bDhg3prnvVqlUMHz6csWPHcuLECSpWrEiTJk24f/9+qsfv2rWLzp07s3PnTg4ePIiX lxeNGzfm9u3b6W4zJ2lerDkmGhNOPzjNjeismRTQp3YxHKzMuHQvhj9DcufnlCdZOUK3dVC6OSTF weoecHSB2lEJIYTIY147ATx37hxFixalf//+bNq0iQcPHujfS0xM5PTp08yePZuaNWvSsWNH7O3T v+XVd999x3vvvUevXr0oV64cc+bMwcbGhoULF6Z6/LJly+jfvz/+/v6UKVOG+fPno9VqCQ7OmokU Wc3F2kW/N/BfV//KkjYcbczpV68EAN9tu0R8oswIzjHMraHDUgjoCYoWNgyHnVNANu0RQghhJK+d AC5dupTt27eTkJBAly5d8PDwwMLCAnt7eywtLalUqRILFy6ke/fuXLhwgbp166ar3vj4eI4fP05Q UND/gzQxISgoiIMHD6arjtjYWBISEnB2dn6ta8sJWhVvBcDf1/5Gq2RNctazpg9u9pbcevyMFUdk vcYcxdQMWkyHwE91r3d/BX8PBa0s4C2EECLzMrUhbMWKFZk3bx5z587l1KlThIWF8ezZM1xcXPD3 9091d5BXiYiIICkpCXd3d4Nyd3d3Lly4kK46Pv30UwoXLmyQRL4oLi6OuLg4/evo6OgMx5nV6nvV x87cjtsxtzlx7wRVPKoYvQ1rC1MGNyzJF3/8ww87LvNOQBFsZY/gnEOjgfqfgZ0bbBgBxxfrFotu twAs7dSOTgghRC5mlEkgJiYmVKpUidatW9OpUyeCgoJeK/kzhq+++oqVK1fy+++/Y2VlleoxU6ZM wdHRUf/w8vLK5ihfzcrMisY+jQH461rW3AYG3bqA3gVtiIiJZ+G+61nWjsiEqn11t4TNrODSZlgs u4YIIYTInEwlgElJSXz99dfUqlWLqlWrMnLkyHRPDEmLi4sLpqam3Lt3z6D83r17eHh4vPTcqVOn 8tVXX7F161YqVKiQ5nGjRo0iKipK/7h5M2dui9aymG428JbQLTxPfJ4lbZibmjC8USkAft5zjcdP 47OkHZFJ5VpBj7/BxgXunoJ5DeHeWbWjEkIIkUtlKgGcPHkyn332GXZ2dnh6ejJjxgwGDBiQqYAs LCwICAgwmMCRPKGjRo0aaZ73zTffMHHiRDZv3kyVKi+/XWppaYmDg4PBIyeq7F6ZwraFeZrwlJ03 d2ZZOy0rFKZsIQeexCXy0+6rWdaOyCSvqtB3OxQsCdG3dLuGXN2hdlRCCCFyoUwlgEuXLmX27Nls 2bKFP/74g7/++otly5ah1WZu0sLw4cOZN28eS5Ys4fz58/Tr14+nT5/Sq1cvALp3786oUaP0x3/9 9deMHj2ahQsX4uPjQ3h4OOHh4cTExGQqDrWZaExoUbwFAOuvZt16cCYmGj5pWhqAJQdCuRuVuV5c kYWcfaHPVvCupVsrcFl7OLZI7aiEEELkMplKAMPCwnjrrbf0r4OCgtBoNNy5k7k9Zjt27MjUqVMZ M2YM/v7+hISEsHnzZv3EkLCwMO7evas//qeffiI+Pp533nmHQoUK6R9Tp07NVBw5QfJt4AN3DhDx LCLL2qlXypVqPs7EJWqZvu1ylrUjjMDGGbr9Dn4dQJuomx288RNISlQ7MiGEELmERlFef3ExU1NT wsPDcXV11ZfZ29tz+vRpfH19jRJgdoiOjsbR0ZGoqKgceTv43Y3vcvrBaT6u8jHdy3fPsnaO33hE u58OotHAXwNr84anY5a1JYxAUWDvVNjxpe51sfrQfhFYF1A3LiGEEFkus7lLptb8UBSFnj17Ymlp qS97/vw5H374Iba2tvqydevWZaaZfK9VsVacfnCav679laUJYIC3M639C/NnyB3Grj/Lmg9roNFo sqw9kUkaDdT9GFzLwLr34dpOmB8EnVeBSwm1oxNCCJGDZeoWcI8ePXBzczNYUqVr164ULlzYoExk TlPfppibmHPh0QXORmTtzM9RzcpiY2HK8RuP+UO2iMsdyraE3lvAoQg8vALzG8CV7WpHJYQQIgfL 1C3gvCKn3wIGGLl3JBuubaBV8VZMqj0pS9uavesK32y+iJu9JTtG1MNOFofOHWLuw6qucPMwoIGG o6H2cF1PoRBCiDwls7mLURaCFlmvS5kuAGy6vomHzx5maVt9avviU9CG+0/i+HHHlSxtSxiRnRv0 +AsqdwcUCJ4Av3WHuCdqRyaEECKHkQQwl6jgWgE/Fz8StAmsubQmS9uyNDNlTMtyACzYd43rEU+z tD1hRGaW0OoH3T7CJuZwfr1uXGCEJPJCCCH+TxLAXKRzmc4A/HbxNxK0CVnaVoMy7tQv7UpCksKE v2THiVynSi/otRHsC8GDCzCvPlzYoHZUQgghcghJAHORJj5NcLZy5v6z+wSHBb/6hEwa3aIc5qYa dl58wI4L9159gshZvKrB+7uhaA3dotEru8DW0ZCUtf95EEIIkfNJApiLWJha0KF0BwCWn1+e5e0V c7WjT+1iAIxbf45n8UlZ3qYwMnt36L4eqvfTvT4wE5a0hOjMLdYuhBAid5MEMJdpX6o9ZhozTt4/ yfmH57O8vYENSlDY0YqwR7F8t+1ilrcnsoCZBTT7CjosBUsHCDsIc2rDlazvRRZCCJEzSQKYy7jZ uNHIuxEAyy9kfS+gnaUZk972A2DBvuuE3IzM8jZFFinXGt7fBR5+EPsQfm0HOybJFnJCCJEPSQKY C3Upq1sSZuO1jTx6/ijL26tfxo23K3miVeCTNaeIS5RbwblWweLQZxsE9AQU2PMNLG4OkWFqRyaE ECIbSQKYC1V0rUi5guWI18az7nL2bLM3pkU5CtpacOleDLN3Xs2WNkUWMbeGljOg3QKwsIebh3S3 hM/9qXZkQgghsokkgLmQRqPRLwy98sJKErVZfwuvgK0F41uXB2DWzitcCI/O8jZFFvN7Bz7cC54B 8DxKt2j0X0MgPlbtyIQQQmQxSQBzqaa+TXG2cuZe7D02Xd+ULW029ytE43LuJGoVPllzmsQkbba0 K7KQs69uH+FaQ3Wvjy+Gn+vBnRD1YhJCCJHlJAHMpSxNLelatisAP5/+mSRt1o/L02g0fNnmDeyt zDh9K4oF+65neZsiG5iaQ6Px0O0PsHOHiIswvyHsmQrZ8L0SQgiR/SQBzMU6l+mMg4UDodGhbA7d nC1tujlYMbq5bpu4adsucTFc9pnNM4rXh34HoWxL0CbCjomwqBk8kkRfCCHyGkkAczE7Czt6lO8B wJxTc7KlFxCgfZUi1CvtSnyilkErTvA8QXqJ8gzbgtDhF2gz598JIofhp1q6W8OKonZ0QgghjEQS wFyuS5ku+l7ALaFbsqVNjUbD1PYVcbGz5NK9GCZtyPoFqUU20mjAvzP02w/etSDhqW5yyK/tIOqW 2tEJIYQwAkkAczk7Czu6l+sOwJzT2dcL6GJnybQOFQH45dANtp4Nz5Z2RTYq4A09/oJGE8HUEq4G w6w34fgS6Q0UQohcThLAPKBL2S7YW9hzPeo6W29szbZ2A0u50re2LwCfrD1NeNTzbGtbZBMTU6g1 GD7cB0WqQfwT+Gsw/NoWIm+qHZ0QQojXJAlgHmBvYa/vBZx7am629QICfNy0NOULOxAZm8Dw30JI 0krPUJ7kWgp6b4bGX4KZFVzdAbNrwJF5oJXlgIQQIreRBDCPeLfsu9hb2HM16irbbmzLtnYtzUyZ 2bkS1uamHLj6kLl7ZJeQPMvEFGoO0vUGelXX9QZuHAELm8C9c2pHJ4QQIgMkAcwj7C3s6VauG6Cb EaxVsq9XprirHeNb6XYJ+W7rJQ5fe5htbQsVuJSEXpvgram6mcK3jsDcurDjS0iQYQBCCJEbSAKY h7xb9l3szXW9gBuvb8zWtttXKUJr/8IkahUGLD/Bnchn2dq+yGYmplDtPRhwGEq/BdoE2PMtzKkF 13apHZ0QQohXkAQwD3GwcKDXG70A+P7498QmZN+erhqNhq/aVqBsIQciYuL58Nfjsj5gfuDoCZ2W 69YOtPOAh1dgaWtY0xui76odnRBCiDRIApjHdCvXDU87T+7H3mfBPwuytW1rC1N+7haAk405p29F 8fnv/6DIciF5n0YD5VrBwCNQ7QPQmMA/a+HHqnBwNiQlqh2hEEKI/5AEMI+xMrNiRJURACz+ZzG3 Y25na/tezjb82LkyJhpYe+IWSw6EZmv7QkVWjvDWN/DeTvCsopsksmWUbnxg6H61oxNCCPECSQDz oIZFG1LNoxrx2nimHZuW7e3XLunCZ2+VBWDihvMckkkh+Uthf+izDVrOAOsCcP8sLH4LVveUtQOF ECKHkAQwD9JoNHxa7VNMNCZsu7GNI3ePZHsMfWr70sa/MElahQHLTnDzUfaNRxQ5gIkJBPSEgcch oBeggbO/624L7/oK4uX7IIQQapIEMI8qVaAU7Uu1B+Cro1+RqM3ecVgajYYpbStQvrADD5/G02Ph ER49jc/WGEQOYFsQWk6HD/bo9hVOfAa7psCsanBmjSwiLYQQKpEEMA8b6D8QBwsHLj++zNpLa7O9 fWsLUxb0qIqnkzXXIp7SZ8lRnsXLzOB8qVAF6LkB2i8GRy+Iuglr+8D8hjI+UAghVCAJYB7mZOXE wEoDAfgh5Aei4qKyPQYPRyuW9K6Ko7U5J8MiGbTiJIlJ0uuTL2k0UP5tGHgU6n8BFnZw54RufOCK zvDgktoRCiFEviEJYB7XvlR7SjiVICouSpUJIQAl3OyZ36MKFmYmbD9/j9F/npXlYfIzc2sI/BgG n4QqfUBjChc3wuw34a+hsn6gEEJkA0kA8zgzEzO+ePMLNGj4/crv7Lm1R5U4qvo4M7OTPxoNrDgS xg87rqgSh8hB7NygxXfQ/5BuNxElCY4vgpmVYNsYiH2kdoRCCJFn5cgEcNasWfj4+GBlZUX16tU5 ciTtWaxnz56lXbt2+Pj4oNFomD59evYFmksEuAfo9wkee2CsKreCAZq+Uej/ewZvu8QvB0NViUPk MK6loPMK6LkRvKrrJorsnwEz/HXby8XFqB2hEELkOTkuAVy1ahXDhw9n7NixnDhxgooVK9KkSRPu 37+f6vGxsbEUK1aMr776Cg8Pj2yONvcYVGkQvo6+RDyLYPLhyarF0b2GDwPqFwdg9J9nWXb4hmqx iBzGpxb03gKdV4H7GxAXBTu+hBkVYf9MWTpGCCGMSKPksMFY1atXp2rVqvz4448AaLVavLy8GDRo ECNHjnzpuT4+PgwdOpShQ4dmqM3o6GgcHR2JiorCwcHhdUPP8c48OEO3Td1IUpKYFjiNxj6NVYlD URQmbTjP/H3XAZjS1o/O1YqqEovIobRa3XZyOyfBY933BFtXqDUUqvQGCxtVwxNCCLVlNnfJUT2A 8fHxHD9+nKCgIH2ZiYkJQUFBHDx40GjtxMXFER0dbfDID/xc/ej9Rm8Avjz0JQ+fqbNDh0aj4fPm ZeldyxeAUevOsOpomCqxiBzKxAQqtNfNGG49C5y84ekD2Po5zPSHg7Mg/qnaUQohRK6VoxLAiIgI kpKScHd3Nyh3d3cnPDzcaO1MmTIFR0dH/cPLy8toded0/Sr2o1SBUjyOe8yEgxNUm42r0WgY3aIs PWv6ADBy3Rl+OybbhIn/MDWHSl1h0HFo9QM4FYWYe7DlM5jupxsj+CxS7SiFECLXyVEJYHYZNWoU UVFR+sfNm/kn8TA3NWdy7cmYmZix4+YO1l9dr1osGo2GsS3L0aOGN4oCn649zYoj0hMoUmFqDpW7 67aWazkDCvhA7EPdGMHpfhA8AZ5GqB2lEELkGjkqAXRxccHU1JR79+4ZlN+7d8+oEzwsLS1xcHAw eOQnpZ1L079if0B3K/jio4uqxaLRaBjXqjzd3tQlgaPWneHHHZdlnUCROjOL/+8x3HYeuJaBuGjY Ow2+fwM2jIBH19WOUgghcrwclQBaWFgQEBBAcHCwvkyr1RIcHEyNGjVUjCzv6f1Gb2p51uJ50nOG 7Byi2tIwoEsCJ7Qur58dPHXrJcatP0uSVpJAkQZTM6jQAfodhI7LoHAl3fIxR+fBD5Xhtx5w+7ja UQohRI6VoxJAgOHDhzNv3jyWLFnC+fPn6devH0+fPqVXr14AdO/enVGjRumPj4+PJyQkhJCQEOLj 47l9+zYhISFcuSILDb+MqYkpX9f5miJ2Rbgdc5tP9nxCkla9fXo1Gg0fNynD2Jbl0GhgycEbDF55 krhE2TtYvISJCZRtAe/thO7roUQQKFo49wfMawCLmsOFDaDid1sIIXKiHLcMDMCPP/7It99+S3h4 OP7+/sycOZPq1asDUK9ePXx8fFi8eDEAoaGh+Pr6pqgjMDCQXbt2pau9/LIMTGouPrpI141deZ70 nL5+fRlSeYjaIbH+1B0++i2EhCSFmsULMrdbAPZW5mqHJXKLe2fhwA9wZjVoE3VlBXyg2ge6CSVW +evvuBAib8ps7pIjE8Dslp8TQICN1zby6d5PAfi+3vcEeQe94oyst+9yBB/8coyn8UmUdrdnXvcq FC0oa7+JDIi6rbslfGwRPI/UlVnY6ZLAqu+BSwlVwxNCiMyQBNAI8nsCCPDN0W/45dwv2JjZsLz5 coo7FVc7JM7ciqLPkqPcfxKHk405s7pUplYJF7XDErlNfCycXgmH5kDECxOeitWDqn2hVDPdmEIh hMhFJAE0AkkAIVGbyPvb3udo+FE87TxZ2mwpbjZuaofFvejnvP/LcU7djMTURMMXzXVrB2o0GrVD E7mNosDVHXDkZ7i0Bfj3V5+DJwT00vUMOhRSNUQhhEgvSQCNQBJAnYfPHtJtUzduPrlJCacSLG66 GEdLR7XD4nlCEp/9foZ1J24D0KFKESa2eQNLM1OVIxO51uMbcHwRnFiqW08QQGMKpZpCQA/dZBIT +X4JIXIuSQCNQBLA/7v15BY9NvXg/rP7VHCpwLzG87AxV3/snaIoLNwfyqQN59AqUKGIIz90roR3 QVu1QxO5WWIcnP0Dji2Em4f+X+7gqesRrNRVt/uIEELkMJIAGoEkgIauPL5Czy09iYqLokahGvzY 8EcsTC3UDguAvZcfMGjFSSJjE7CzNGPS22/Q2t9T7bBEXnD/gq5H8NQKePbo/+W+dcH/XSjbEizk PxxCiJxBEkAjkAQwpdMPTtN3a1+eJT6jkXcjvq37LaY55JbYnchnDF0ZwpFQ3T/S7wQUYXyr8tha ykB+YQSJcXD+L10yeH33/8st7KB8G6jYGYrW1K1BKIQQKpEE0AgkAUzdgTsHGBA8gERtIq2Lt2Z8 zfE5JglMTNLy484rzAy+jFaBYi62zOxciTc81R+zKPKQyDA4tRJClsHj0P+XOxQBv3egQkdwL6da eEKI/EsSQCOQBDBt225sY8TuEWgVLY28G/FVna9yzO1ggMPXHjJkZQjh0c8xM9HQv15xBjQoIRNE hHEpCoQd1CWC59br9h9O5v4G+LWH8m9DAW/1YhRC5CuSABqBJIAvtzV0KyP3jiRBm0B1j+rMaDAD W/OcMxbq8dN4Pvv9DJv+CQeglLsd37xTEX8vJ3UDE3lTwjPdMjKnf4PLW0Gb8P/3PAOgfFvdrWLH IqqFKITI+yQBNAJJAF/t0N1DDNkxhNjEWMoXLM/soNk4WzmrHZaBjWfuMubPf4iIicdEA33rFGNY UCmsLaQ3UGSR2Ee6fYf/WQeh+9CvLQjgVR3KttJNHpGeQSGEkUkCaASSAKbPPxH/0H97fx7HPcbH wYefG/1MIbuctXDu46fxTPj7HL+f1K0Z6F3QhjEtytGgjJssHi2y1pN7cO5POLtOd7v4RYUq6pLB cq3BpaQ68Qkh8hRJAI1AEsD0uxZ1jQ+2fUD403DcrN2YVm8a/m7+aoeVQvD5e3z++z+ERz8HoF5p V8a0KEcxVzuVIxP5QtRtuPC3bjbxjf2gaP//XsGSULoZlH4LvKrJgtNCiNciCaARSAKYMeFPw/lw 24dcjbqKmYkZn1b9lI6lO+a4HraYuER+3HGFBfuukZCkYG6qoXdtXwY1KImdLBkjskvMA7i4Ec6v h2u7DccM2hTU7T5SsjEUrw9WMotdCJE+kgAagSSAGfc04Smj949m241tALQs1pLRNUZjbWatcmQp XXsQw8S/z7Hz4gMAXOwsGdywBJ2qFsXCTNZyE9noeTRcDYYLG+HyFnge9f/3TMzA600o1ViXELqW gRz2nyohRM4hCaARSAL4ehRFYcnZJXx/4nu0ipbSBUrzff3v8bL3Uju0VO24cI8Jf50j9GEsAEUK WDMsqBRtKnliaiL/0IpslpSgGyt4cTNc2QYRlwzfd/DU9QoWbwDF6oNNzpp0JYRQlySARiAJYOYc uXuEj/d8zKPnj7A3t+fTap/SqnirHHdLGCA+UcuqYzf5Ifgy95/EAVDCzY6PGpWiSXkPTCQRFGp5 dB0ub9MtLRO6FxKfv/CmBgpXgmL1dA+v6mBupVKgQoicQBJAI5AEMPPCn4bz0e6POP3gNACBRQIZ U2MMbjZuKkeWumfxSSw5GMpPu64S9Uw3Jqukmx0fBhanlX9hzE3l1rBQUcIzuHEAru7QPe6fM3zf zEqXBBYLBJ+6UNgfTM1VCVUIoQ5JAI1AEkDjSNQmsvjsYmaHzCZBm4C9hT2jqo2iRbEWObI3ECD6 eQLz9lxj8f5QnsQlAuDpZE3fOr50qlpU1hAUOUP0Hbi6U7c38bXdEBNu+L65LRStDt61wKc2FK4M Zjlnxx4hhPFJAmgEkgAa1+XHl/li/xece6jrtahXpB6fVvuUIvY5d2eE6OcJLDsUxoJ914mI0d0a LmBjTudqRXn3TW88nXLe5BaRTykKRFz+NxncpespfPbI8BgzK92uJEVr6B5eVWWGsRB5jCSARiAJ oPElahNZ9M8iZp+aTaI2EXMTc7qV68Z7fu9hZ5Fz1+J7npDE2hO3mLv7GmGPdJNFTDQQVNad7jV8 qFWiYI7tzRT5lFYLD85D6H64sU/3Z2zEfw7SgFs5XSJYpJpu/cGCJWSWsRC5mCSARiAJYNa58vgK Xx/9mkN3DwHgbOXMoEqDeLvE25jm4AVwE5O0bD9/n6UHQzlw9aG+vJirLZ2qetGmkidu9jIIX+RA igIPr+hmGIcd0v356FrK46ycoEhVXU+hZ2Xdn7Yu2R6uEOL1SAJoBJIAZi1FUdhzaw9Tj00lNDoU /tfevcdFVad/AP+cuQMzXIbhqggSaIh4JQ3NJTeNLSvabTfLVrGyNldLc+1llv7csk1NfeVqlpub aZZhuulauV5iszW1NBWviIoiolwEuQ3IXJ/fH2c4MlwMkMvAPO9X53XO+Z7vOfPMM4QPZ873HADR ftGY0n8KRvYYCZng2gMuzhdWYP2BS/jXkSswOq4TlMsEJPYKwGODuuO+mEBolK5bzDKGigIg9yBw +SCQewi4erTOKGMH3x7i9YOhA4CQAeIj7Pj2M4y5JC4AWwEXgO3DYrNgY+ZGvH/sfVSYKwAAUb5R mBQ3CUkRSVDIXPvpHEaTFdvSr2Lz4cs4klMqtft4KPFgXDAejAtBQqQ/FDyCmLk6qxkoOAFcOQJc OSxOde9DWMO3h6MY7AcE9wOC4wBdCH99zFgH4wKwFXAB2L5Kq0vxyelP8PmZz2G0GAEAPXQ9MClu EsZEjoFK7vqjF7OuGfHlkVx8eeQK8spunknRe6mQFBuMMXEhuDtSz8Ug6zyqy8Qzg1eOAHnHgLx0 oCS74b6e/mIhGNRXvLYwqI/45BIlD5ZirL1wAdgKuADsGOXmcnye8Tk+zfgUpaZSAICf2g+PRj+K P/T6g8s+UaQ2m53w44VifH08DztP5eN6pVna5uOhRGKvANwXE4jEXgHw9XT9wpYxJzdKgLzjYjGY fxLIPyGeKSRb/b6CDNDfAQTeCQTE3Jz7R/EtaRhrA1wAtgIuADtWlaUKm85uwvrT61FQVQAAECBg WLdhGNtrLEZ0H+HyXw8D4sCRHy9cxzcn8rDjZB5KqizSNrlMwOBwP9zbOwD3RBkQG+rDj59jnZPl BlCYIRaDhaeBglPiVPdWNDUEOaCPBAy9gIBe4tzQGzBE8a1pGLsNXAC2Ai4AXYPVbsX/cv+HLzK/ wL6r+6R2vUaP+8Pvx4ORD6J/QH+XHzQCiGcGj+aUIO1MIdIyCnC2wOi03cdDiWF3+GN4lAEJd/gj 0uDFt5dhnRcRYCwQC8FrZ8QC8VqmuGwqb3w/rwDxDKH/HeJcf4dYLOp7Aiqv9oufsU6IC8BWwAWg 67lcfhmbzm7C1vNbUWIqkdpDvELwm4jfYHT4aMQaYjtFMQgAl69X4b9nCrH3XBF+vFAsjSauYdCq EB+uR3yEH+6K0CM21JuvH2SdH5H4FJOis+LNq4syxeVrZ+s/zaQubfDNYtA3HPCLcEzhgDaIB6Ew t8cFYCvgAtB1WewW/JT3E/5z8T9Iy0lDpaVS2qbX6HFPt3uQ2D0RCaEJ0Kl0HRhp01ltdhzLLcP+ 80XYe74I6TmlMNvsTn08lHL07eaN/t190S/MFwO6+yJM78FnCVnXYaoAirPEexYWZwHF58T7FV6/ IF57eCsKjTg62SdMnNdMPmGAT3dAFwy48H1GGWsNXAC2Ai4AO4dqazX2XtmLHRd3YP/V/dIIYgBQ CAr0C+iHu4Lvwl3Bd6F/QH9oFJ3jRs3VFhtOXinDwezr+Dm7BD9nX0d5tbVeP19PJfqEeItTqDdi QrwRFaiFks8Usq7mRglw/aJYDJZcBEouiSOSSy4B5bkA2W+9vyAHvEPFYtC7G+Ad4piHinNdCKAN BOTKdnk7jLUFLgBbAReAnY/FZsHRwqP4Pvd7/C/3f9INpmsoZUrEGeIwKGgQ+hr6Is4Qh0DPwI4J tpnsdsKFIiOOXS7DsdxSHLtcioy8inpnCQFAKRcQadAiKkiL6EAtogN16BWkRQ9/T6gVfAaEdUE2 C1B2GSi9DJTmiFOZY7ksFyi/Atjr/wFVnyAWgbpgsSDUBYtfLddMumBxu1cgoOwcf0wy98IFYCvg ArDzu1x+GQfzD+JQwSEcyj+EwqrCen0CPQPR178vYg2x6OXXC9F+0Qj1Cu0UX6uarDaczTciI68c px1TxtVyVJga/odOJgChvh7oafCSph56T/TQe6K7nyc8VFwcsi7KbgOMhWIxWHYZqMgTr0MsvyLO y66I1x82qUh0UHuLA1a0geLcyyDOPQ2OZYO47OkvPjmFzyyydsAFYCvgArBrISLkVuTiUMEhHLt2 DCeLTuJ86XnYG/jaSKvUIso3ClF+UYjwjkBPn54I9w5HqDYUSplr/xInIlwpvYFzhUacK6jAuQIj zhUacb7QWG+QSV0GrRpheg908xWnEB8NQhzLwT4a6D1VkPFtalhXZbcDVcVAxVWgIl8sDI2FYmFY USCOaK6ZbOZfPl5dGh+xGPTQAx5+YlHooXfM/cRJ4+tY9hWXNT6A3PVvd8VcBxeArYALwK6vylKF jOsZOFl0Emeun8HZkrO4UHYB1kbOAigEBbrpuqG7tjtCtaEI1Yaim7YbQrxCEOwVDIOHwWXvTUhE uGY0IbuoCheLjLjomF++fgOXS6pQ0cD1hXUpZAICdGoEemsQpFMj0FsNfy81DDo1ArQqGLRqGLRq +Hmp4K1RdIqzqIw1G5H4hJTKa2KBWFkIVBaJ63XnN64DVdcB3MY/qSrtzWJQ4wNovMWzjxpvcV3t Dah1jmXdzUmldWzTAgp1a7175uK6bAG4cuVKLF68GPn5+ejfvz9WrFiBIUOGNNp/06ZNmDt3LrKz sxEdHY1FixbhwQcfbNJrcQHonix2C7LLsnGu5BzOl55HTkUOssuycan8Eqpt1bfcVybI4K/xR6Bn IAI9A2HwMECv0cPfwx/+Gn/oNXroNXp4q73ho/ZxqbOJZVUWXC6pQs71KlwtvYGrpdXIK7shLpdV o8hoQnN+KyhkAnw9VdB7KeHnqYKvpxK+HuLc20MpzjVK6DQKeHuIy94aBXQaJTRKGRePrOuw28SC sapYLAxrisLa8xul4iCX6lLHcingeDZ6q5ApxUJQpRPvpajWinNVzdwLUHo61j3FZaWnY9nLMfcA FB7iXOkpXgOp9OSvtl1MlywAN27ciAkTJmDVqlUYOnQoli1bhk2bNiEzMxOBgfUv5N+/fz9+9atf YcGCBXjooYewYcMGLFq0CEeOHEHfvn1/8fW4AGS12cmOwqpC5JTn4IrxCq5WXsVV41XkVuTiauVV FFUVwUrNuH4I4lfNPmof+Kh9oFPp4K3yhk6lg06pg1alhZfSC1qlFp5KT3gpveCl9IKHwqPe1B5n HS02O4qMJhSUm1BYXo2CChOulVfjmtGMIqNJmoqNZlSZG3gkWDPIBECrFotBrVoBL7UcnioFPFVy eKnFuadKDg9Hm4dSDg/HXKOUQ6OUOS2rFXKoFY65Uga1ggtM1gnYrOINs2sXhqZyoLrcMS+7uWyq uDmvLgfMRnHZUtX2cQpyR3GoqTXXiPOaqWZdrhbPRio04qMApXU1IFc55mqxqKy3rBT7SJPy5lxW a9nN/9/ukgXg0KFDcdddd+G9994DANjtdoSFheHFF1/Eq6++Wq//2LFjUVlZia+//lpqu/vuuzFg wACsWrXqF1+PC0DWHHay43r1dRRUFaCwshCFVYUori5G8Y1iXK++Li2XmEpQ0Zp/2UP8alqj0EAt V0tztVwNlVx1c5KJc6VMKc1rJoVMIc1rT3JBDqVMCblMDrkgvzl3TDJBJs5lMqc2qw2oNNlRUW1D pcmG8ht2GE02GKutMFbbUF5tk7YZHfOKaisqzXbxLCMJAMRf4gTBsQ5HW61lQq11NHGbSCmXQSWX Q6WQ3ZzkMrFdIc6VcsExl0EhE6BUyKCUCVA4tsllAhSymmWxj9gm9pHLALlMBrkAyOUyyAUBchkg EwQo5AJkgthfLggQapZlEJcFcbtMAGSym8tCTZtju1CzLBMflVjTR2oXxHZBgGMSxCw6tguO1Eh9 4NxHEDfW24ba2+H8b27Ncs0xnT4ZR4NQbx/3/ke7zdisYjFYUxCaq26umytvFolSe6U4WarEx/tZ qmqtVzu3387X2m1JkNcqChWOuVK8B6S0rLg5Oa3LG14W5LXW5Y51BcT/8eS12mrmddoFmWNZJj7d JjKxzd7+7dYuLncRk9lsxuHDhzF79mypTSaTYdSoUThw4ECD+xw4cAAzZsxwaktKSsLWrVsb7G8y mWAymaT18vJbPKqIsTpkggwGDwMMHgbE+sfesq/NbkO5uRylplKUmcpQbi5HubkcRrMRFeYKVJgr UG4uR5WlCpXWSlRaKsVlSyVuWG9Ik43EM21WssJoMTrdA7FTUDsmh454yJfVMVUBIGqoCHG02QE0 eN2/Y3uD/xbeblHTkUURF2TMQeWYpAVfADf/RLu5LK47/9lFjSw33L/+uvN+dV+3eewATI6pDgJg c0xtLN7ii/ef3/fLHTuIyxWARUVFsNlsCAoKcmoPCgrCmTNnGtwnPz+/wf75+Q0/amjBggV44403 Widgxm5BLpPDT+MHP41fi49BRLDYLbhhvYFqazVMNhNuWG/AZDOh2loNs90Ms02cTDYTTDYTLHYL rHYrzDYzLHYLzDYzrHar1F4zt9qtsJIVNrsNNrJJ63ayw2a3ict2O2wkbreT/ebcbgOBpPWaiYhg R61lsoNA0rIdYntNG3XA2QVBaOg1mxgH10vMjVEjy63jFn+YdUKlctd+OpXLFYDtYfbs2U5nDMvL yxEWFtaBETHWOEEQpK93fdQ+HR1Om3AqFEEQ/yPp1j01xaLUv1bxWFNAOm13LDe0vaGCs+6x67bV 3dbU99TS/W+nKG7qVT1EJA32qckSial3GgQkLpO0TdoXdfvUWpdy2HBsje0rHdWpraHYG2hrqGfT mhrUnIujXPQLUtbBfDUd8V1H07lcAWgwGCCXy1FQUODUXlBQgODg4Ab3CQ4OblZ/tVoNtZqHyjPm KsRr4fjm1Iwx1l5c7iGiKpUKgwcPRlpamtRmt9uRlpaGhISEBvdJSEhw6g8Au3fvbrQ/Y4wxxpg7 c7kzgAAwY8YMpKSkID4+HkOGDMGyZctQWVmJp59+GgAwYcIEdOvWDQsWLAAATJs2DYmJiVi6dCnG jBmD1NRU/Pzzz/jwww878m0wxhhjjLkklywAx44di2vXruH//u//kJ+fjwEDBmDHjh3SQI+cnBzI ZDdPXg4bNgwbNmzAnDlz8NprryE6Ohpbt25t0j0AGWOMMcbcjUveB7C98X0AGWOMMdaZ3G7t4nLX ADLGGGOMsbbFBSBjjDHGmJvhApAxxhhjzM1wAcgYY4wx5ma4AGSMMcYYczNcADLGGGOMuRkuABlj jDHG3AwXgIwxxhhjbsYlnwTS3mruhV1eXt7BkTDGGGOM/bKamqWlz/PgAhBARUUFACAsLKyDI2GM McYYa7qKigr4+Pg0ez9+FBwAu92Oq1evQqfTQRCEjg6nQ5WXlyMsLAyXL1/mx+K1As5n6+Fcth7O ZevhXLYuzmfTEREqKioQGhoKmaz5V/TxGUAAMpkM3bt37+gwXIq3tzf/z9eKOJ+th3PZejiXrYdz 2bo4n03TkjN/NXgQCGOMMcaYm+ECkDHGGGPMzXAByJyo1WrMmzcParW6o0PpEjifrYdz2Xo4l62H c9m6OJ/thweBMMYYY4y5GT4DyBhjjDHmZrgAZIwxxhhzM1wAMsYYY4y5GS4AGWOMMcbcDBeAbmjl ypWIiIiARqPB0KFDcfDgwUb7njp1Co899hgiIiIgCAKWLVvWfoF2Es3J5+rVqzFixAj4+fnBz88P o0aNumV/d9OcXH755ZeIj4+Hr68vvLy8MGDAAKxfv74do3VtzcllbampqRAEAY8++mjbBtiJNCeX a9euhSAITpNGo2nHaF1fc382S0tLMWXKFISEhECtVqNXr17Yvn17O0XbdXEB6GY2btyIGTNmYN68 eThy5Aj69++PpKQkFBYWNti/qqoKkZGRWLhwIYKDg9s5WtfX3Hzu2bMHTz75JL777jscOHAAYWFh uP/++3HlypV2jtz1NDeXer0er7/+Og4cOIDjx4/j6aefxtNPP42dO3e2c+Sup7m5rJGdnY2ZM2di xIgR7RSp62tJLr29vZGXlydNly5daseIXVtz82k2mzF69GhkZ2dj8+bNyMzMxOrVq9GtW7d2jrwL IuZWhgwZQlOmTJHWbTYbhYaG0oIFC35x3/DwcHr33XfbMLrO53bySURktVpJp9PRunXr2irETuN2 c0lENHDgQJozZ05bhNeptCSXVquVhg0bRv/85z8pJSWFkpOT2yFS19fcXH788cfk4+PTTtF1Ps3N 5wcffECRkZFkNpvbK0S3wWcA3YjZbMbhw4cxatQoqU0mk2HUqFE4cOBAB0bWObVGPquqqmCxWKDX 69sqzE7hdnNJREhLS0NmZiZ+9atftWWoLq+luXzzzTcRGBiIZ599tj3C7BRamkuj0Yjw8HCEhYUh OTkZp06dao9wXV5L8rlt2zYkJCRgypQpCAoKQt++ffH222/DZrO1V9hdFheAbqSoqAg2mw1BQUFO 7UFBQcjPz++gqDqv1sjnrFmzEBoa6vQL0R21NJdlZWXQarVQqVQYM2YMVqxYgdGjR7d1uC6tJbn8 4Ycf8NFHH2H16tXtEWKn0ZJc9u7dG2vWrMG///1vfPrpp7Db7Rg2bBhyc3PbI2SX1pJ8XrhwAZs3 b4bNZsP27dsxd+5cLF26FG+99VZ7hNylKTo6AMbc1cKFC5Gamoo9e/bwReItpNPpkJ6eDqPRiLS0 NMyYMQORkZG49957Ozq0TqOiogLjx4/H6tWrYTAYOjqcTi8hIQEJCQnS+rBhwxATE4N//OMfmD9/ fgdG1jnZ7XYEBgbiww8/hFwux+DBg3HlyhUsXrwY8+bN6+jwOjUuAN2IwWCAXC5HQUGBU3tBQQEP 8GiB28nnkiVLsHDhQnz77bfo169fW4bZKbQ0lzKZDFFRUQCAAQMGICMjAwsWLHDrArC5uczKykJ2 djYefvhhqc1utwMAFAoFMjMzcccdd7Rt0C6qNX5nKpVKDBw4EOfPn2+LEDuVluQzJCQESqUScrlc aouJiUF+fj7MZjNUKlWbxtyV8VfAbkSlUmHw4MFIS0uT2ux2O9LS0pz+YmVN09J8vvPOO5g/fz52 7NiB+Pj49gjV5bXWz6bdbofJZGqLEDuN5ubyzjvvxIkTJ5Ceni5NjzzyCEaOHIn09HSEhYW1Z/gu pTV+Lm02G06cOIGQkJC2CrPTaEk+hw8fjvPnz0t/lADA2bNnERISwsXf7eroUSisfaWmppJaraa1 a9fS6dOn6fnnnydfX1/Kz88nIqLx48fTq6++KvU3mUx09OhROnr0KIWEhNDMmTPp6NGjdO7cuY56 Cy6luflcuHAhqVQq2rx5M+Xl5UlTRUVFR70Fl9HcXL799tu0a9cuysrKotOnT9OSJUtIoVDQ6tWr O+otuIzm5rIuHgV8U3Nz+cYbb9DOnTspKyuLDh8+TE888QRpNBo6depUR70Fl9LcfObk5JBOp6Op U6dSZmYmff311xQYGEhvvfVWR72FLoMLQDe0YsUK6tGjB6lUKhoyZAj9+OOP0rbExERKSUmR1i9e vEgA6k2JiYntH7iLak4+w8PDG8znvHnz2j9wF9ScXL7++usUFRVFGo2G/Pz8KCEhgVJTUzsgatfU nFzWxQWgs+bkcvr06VLfoKAgevDBB+nIkSMdELXrau7P5v79+2no0KGkVqspMjKS/va3v5HVam3n qLsegYioo84+MsYYY4yx9sfXADLGGGOMuRkuABljjDHG3AwXgIwxxhhjboYLQMYYY4wxN8MFIGOM McaYm+ECkDHGGGPMzXAByBhjjDHmZrgAZIzdNkEQsHXr1ib3/+tf/4oBAwa0+PUmTpyIRx99tMX7 s4bt2bMHgiCgtLT0to5z7733Yvr06bfsExERgWXLlknrtX+GsrOzIQgC0tPTbysOxljjuABkrBO7 du0aJk+ejB49ekCtViM4OBhJSUnYt29fu8aRl5eHBx54oF1f01W1VhHV1R06dAjPP/98g9vCwsKQ l5eHvn37AuCcMtYWFB0dAGOs5R577DGYzWasW7cOkZGRKCgoQFpaGoqLi9s1juDg4HZ9vbZARLDZ bFAoXOPXYmvG42rvDQACAgIa3SaXy7vEzxRjrozPADLWSZWWlmLv3r1YtGgRRo4cifDwcAwZMgSz Z8/GI488IvUTBAEffPABHnjgAXh4eCAyMhKbN292Otbly5fx+OOPw9fXF3q9HsnJycjOznbqs2bN GsTGxkKtViMkJARTp051eo3aXwHPmjULvXr1gqenJyIjIzF37lxYLJZmvb9Tp07hoYcegre3N3Q6 HUaMGIGsrCynPkuWLEFISAj8/f0xZcoUp9dYv3494uPjodPpEBwcjHHjxqGwsFDaXnNW6T//+Q8G Dx4MtVqNH374AVlZWUhOTkZQUBC0Wi3uuusufPvtt06vazKZMGvWLISFhUGtViMqKgofffQRsrOz MXLkSACAn58fBEHAxIkTAQB2ux0LFixAz5494eHhgf79+zt9Do3FU1fN16OpqakYNmwYNBoN+vbt i++///4Xj2UymfDSSy8hMDAQGo0G99xzDw4dOlTvNfbt24d+/fpBo9Hg7rvvxsmTJ6VtxcXFePLJ J9GtWzd4enoiLi4On3/+eb1jWK1WTJ06FT4+PjAYDJg7dy5qP3m07lfADb3H9PT0RnP6ySefwN/f HyaTyWnfRx99FOPHj7/lcW+VO8bcRkc+iJgx1nIWi4W0Wi1Nnz6dqqurG+0HgPz9/Wn16tWUmZlJ c+bMIblcTqdPnyYiIrPZTDExMfTMM8/Q8ePH6fTp0zRu3Djq3bs3mUwmIiJ6//33SaPR0LJlyygz M5MOHjxI7777rtNrbNmyRVqfP38+7du3jy5evEjbtm2joKAgWrRokbR93rx51L9//0Zjzs3NJb1e T7/73e/o0KFDlJmZSWvWrKEzZ84QEVFKSgp5e3vTCy+8QBkZGfTVV1+Rp6cnffjhh9IxPvroI9q+ fTtlZWXRgQMHKCEhgR544AFp+3fffUcAqF+/frRr1y46f/48FRcXU3p6Oq1atYpOnDhBZ8+epTlz 5pBGo6FLly5J+z7++OMUFhZGX375JWVlZdG3335LqampZLVa6V//+hcBoMzMTMrLy6PS0lIiInrr rbfozjvvpB07dlBWVhZ9/PHHpFarac+ePbeMp66LFy8SAOrevTtt3ryZTp8+TZMmTSKdTkdFRUW3 PNZLL71EoaGhtH37djp16hSlpKSQn5+f9Do1+8XExNCuXbvo+PHj9NBDD1FERASZzWbps1m8eDEd PXqUsrKyaPny5SSXy+mnn36SYkxMTCStVkvTpk2jM2fO0Kefflrv8wkPD2/0Z6jmPR49erTRnFZV VZGPjw998cUX0jEKCgpIoVDQf//73wZ/rpqSO8bcBReAjHVimzdvJj8/P9JoNDRs2DCaPXs2HTt2 zKkPAHrhhRec2oYOHUqTJ08mIqL169dT7969yW63S9tNJhN5eHjQzp07iYgoNDSUXn/99UbjqFsA 1rV48WIaPHiwtP5LBeDs2bOpZ8+eUtFRV0pKCoWHh5PVapXa/vCHP9DYsWMbPeahQ4cIAFVUVBDR zWJn69atje5TIzY2llasWEFERJmZmQSAdu/e3WDfmuOWlJRIbdXV1eTp6Un79+936vvss8/Sk08+ 2ax4aoqYhQsXSm0Wi4W6d+8uFdkNHctoNJJSqaTPPvtMajObzRQaGkrvvPOO036pqalSn+LiYvLw 8KCNGzc2GtOYMWPoL3/5i7SemJhIMTExTj9Ts2bNopiYGGm9qQVg7bhq55SIaPLkyU5F/dKlSyky MtLpdWtrSu4Ycxf8FTBjndhjjz2Gq1evYtu2bfjNb36DPXv2YNCgQVi7dq1Tv4SEhHrrGRkZAIBj x47h/Pnz0Ol00Gq10Gq10Ov1qK6uRlZWFgoLC3H16lXcd999TY5r48aNGD58OIKDg6HVajFnzhzk 5OQ0ef/09HSMGDECSqWy0T6xsbGQy+XSekhIiNNXvIcPH8bDDz+MHj16QKfTITExEQDqxREfH++0 bjQaMXPmTMTExMDX1xdarRYZGRnSfunp6ZDL5dLxmuL8+fOoqqrC6NGjpRxrtVp88skn9b7WrhtP Y2p/pgqFAvHx8dJn2tCxsrKyYLFYMHz4cKlNqVRiyJAh9farfWy9Xo/evXtLfWw2G+bPn4+4uDjo 9XpotVrs3LmzXl7vvvtuCILgdMxz587BZrM16f01xXPPPYddu3bhypUrAIC1a9di4sSJTq/bkKbk jrGuznWuCGaMtYhGo8Ho0aMxevRozJ07F5MmTcK8efOka89+idFoxODBg/HZZ5/V2xYQEACZrHl/ Jx44cABPPfUU3njjDSQlJcHHxwepqalYunRpk4/h4eHxi33qFoeCIMButwMAKisrkZSUhKSkJHz2 2WcICAhATk4OkpKSYDabnfbz8vJyWp85cyZ2796NJUuWICoqCh4eHvj9738v7deU2OoyGo0AgG++ +QbdunVz2qZWq28Zz+1ozWPVWLx4Mf7+979j2bJliIuLg5eXF6ZPn14vr+1h4MCB6N+/Pz755BPc f//9OHXqFL755pt2j4OxzojPADLWxfTp0weVlZVObT/++GO99ZiYGADAoEGDcO7cOQQGBiIqKspp 8vHxgU6nQ0REBNLS0pr0+vv370d4eDhef/11xMfHIzo6GpcuXWrWe+jXrx/27t3b7IEjNc6cOYPi 4mIsXLgQI0aMwJ133ul0dvBW9u3bh4kTJ+K3v/0t4uLiEBwc7DQgJi4uDna7vdGBAyqVCgCcznT1 6dMHarUaOTk59XIcFhbWovdY+zO1Wq04fPiw9Jk25I477oBKpXK6RZDFYsGhQ4fQp0+fRo9dUlKC s2fPSsfet28fkpOT8cc//hH9+/dHZGQkzp49W+/1fvrpp3rHjI6Odjpr21QN5bTGpEmTsHbtWnz8 8ccYNWpUk/LZ3Nwx1hVxAchYJ1VcXIxf//rX+PTTT3H8+HFcvHgRmzZtwjvvvIPk5GSnvps2bcKa NWtw9uxZzJs3DwcPHpRG8T711FMwGAxITk7G3r17cfHiRezZswcvvfQScnNzAYg3bl66dCmWL1+O c+fO4ciRI1ixYkWDcUVHRyMnJwepqanIysrC8uXLsWXLlma9t6lTp6K8vBxPPPEEfv75Z5w7dw7r 169HZmZmk/bv0aMHVCoVVqxYgQsXLmDbtm2YP39+k/aNjo7Gl19+ifT0dBw7dgzjxo2TziwC4ujV lJQUPPPMM9i6dauUry+++AIAEB4eDkEQ8PXXX+PatWswGo3Q6XSYOXMmXn75Zaxbtw5ZWVlSDtet W9es3NRYuXIltmzZgjNnzmDKlCkoKSnBM88802h/Ly8vTJ48Ga+88gp27NiB06dP47nnnkNVVRWe ffZZp75vvvkm0tLScPLkSUycOBEGg0G68XZ0dDR2796N/fv3IyMjA3/6059QUFBQ7/VycnIwY8YM ZGZm4vPPP8eKFSswbdq0Fr3XhnJaY9y4ccjNzcXq1atv+f5ra27uGOuSOvoiRMZYy1RXV9Orr75K gwYNIh8fH/L09KTevXvTnDlzqKqqSuoHgFauXEmjR48mtVpNERER9S7oz8vLowkTJpDBYCC1Wk2R kZH03HPPUVlZmdRn1apV1Lt3b1IqlRQSEkIvvvii02vUHgTyyiuvkL+/P2m1Who7diy9++675OPj I23/pUEgRETHjh2j+++/nzw9PUmn09GIESMoKyuLiMRBIMnJyU79p02bRomJidL6hg0bKCIigtRq NSUkJNC2bduaNLDg4sWLNHLkSPLw8KCwsDB67733KDExkaZNmyb1uXHjBr388ssUEhJCKpWKoqKi aM2aNdL2N998k4KDg0kQBEpJSSEiIrvdTsuWLZNyGBAQQElJSfT999/fMp66agYybNiwgYYMGUIq lYr69OnjNPK1sWPduHGDXnzxRelzHj58OB08eLDefl999RXFxsaSSqWiIUOGOA0sKi4upuTkZNJq tRQYGEhz5syhCRMmOH0eiYmJ9Oc//5leeOEF8vb2Jj8/P3rttdecBmc0ZxBIYzmtMX78eNLr9bcc Dd/U3DHmLgSiWjdmYox1OYIgYMuWLfzotC4iOzsbPXv2xNGjR2/rcXpdyX333YfY2FgsX778lv04 d4zdxINAGGOMdUolJSXYs2cP9uzZg/fff7+jw2GsU+ECkDHGWKc0cOBAlJSUYNGiRejdu3dHh8NY p8JfATPGGGOMuRkeBcwYY4wx5ma4AGSMMcYYczNcADLGGGOMuRkuABljjDHG3AwXgIwxxhhjboYL QMYYY4wxN8MFIGOMMcaYm+ECkDHGGGPMzXAByBhjjDHmZrgAZIwxxhhzM/8PQ1loDeA1/ZgAAAAA SUVORK5CYII= --000000000000845b030648ff1b93 Content-Type: image/png; name="copy-variants-versions.png" Content-Disposition: attachment; filename="copy-variants-versions.png" Content-Transfer-Encoding: base64 Content-ID: X-Attachment-Id: f_mkpt6ga21 iVBORw0KGgoAAAANSUhEUgAAAnUAAAHWCAYAAAARl3+JAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90 bGliIHZlcnNpb24zLjcuNSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/xnp5ZAAAACXBIWXMAAA9h AAAPYQGoP6dpAABD/0lEQVR4nO3dd3xUVd7H8e+kF0ggkAoBgkAISkcIRboEEMQFKRoUlI3IIooU XVaX9rjqslLURVnRBfEJ2KLsLigSKUsLKCCClEAwFCUBJUAIJYHkPH/4Yh5H2gxkknDzeb9e89rM OSf3/Cb3Mn73VpsxxggAAAC3NI/SLgAAAAA3j1AHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAA ABZAqAMAALAAQh0AAIAFeJV2AbeCoqIiHTlyRBUrVpTNZivtcgAAQDlijNHp06cVFRUlD4+r748j 1DnhyJEjio6OLu0yAABAOXb48GFVr179qv2EOidUrFhR0i9/zKCgoFKuBgAAlCe5ubmKjo6255Gr IdQ54dIh16CgIEIdAAAoFdc7BYwLJQAAACyAUAcAAGABhDoAAAAL4Jy6YlRYWKgLFy6Udhnllo+P zzUv9QYAwMoIdcXAGKPs7GydPHmytEsp1zw8PBQTEyMfH5/SLgUAgBJHqCsGlwJdWFiYAgICuEFx Kbh0g+isrCzVqFGDdQAAKHcIdTepsLDQHuiqVKlS2uWUa6GhoTpy5IguXrwob2/v0i4HAIASxQlI N+nSOXQBAQGlXAkuHXYtLCws5UoAACh5hLpiwuG+0sc6AACUZ4Q6AAAACyDUAQAAWAAXSrhRrT8u LdH5Drx8T4nO56rJkydr8eLF2rZtW2mXAgCA5bCnDrecgoKC0i4BAIAyh1BXjnXs2FGjRo3S6NGj VblyZYWHh2vu3Lk6c+aMHnnkEVWsWFF16tTR559/LumXq0qHDRummJgY+fv7KzY2Vq+++qrDMlev Xq2WLVsqMDBQlSpVUtu2bXXw4EHNnz9fU6ZM0bfffiubzSabzab58+dLkk6ePKnf//73Cg0NVVBQ kDp37qxvv/3WvszJkyerSZMmevvttxUTEyM/P78S+xsBAHCrINSVc++++66qVq2qr776SqNGjdKI ESPUv39/tWnTRlu3blW3bt300EMP6ezZsyoqKlL16tX10UcfadeuXZo4caL+9Kc/6cMPP5QkXbx4 Uffdd586dOig7du3Ky0tTY899phsNpsGDhyosWPH6vbbb1dWVpaysrI0cOBASVL//v117Ngxff75 59qyZYuaNWumLl26KCcnx15nRkaGUlJS9Mknn3D4FgCAK+CcunKucePGev755yVJEyZM0Msvv6yq VasqKSlJkjRx4kS9+eab2r59u+Lj4zVlyhT778bExCgtLU0ffvihBgwYoNzcXJ06dUq9evXSbbfd JkmKi4uzj69QoYK8vLwUERFhb1u3bp2++uorHTt2TL6+vpKkV155RYsXL9bHH3+sxx57TNIvh1wX LFig0NBQ9/5BAAC4RRHqyrlGjRrZf/b09FSVKlXUsGFDe1t4eLgk6dixY5Kk2bNn65///KcOHTqk c+fOqaCgQE2aNJEkhYSEaOjQoUpISNDdd9+trl27asCAAYqMjLzq/N9++63y8vIuexrHuXPntH// fvv7mjVrEugAALgGQl0599vHadlsNoe2Szf0LSoq0vvvv69x48Zp+vTpat26tSpWrKi//e1v2rRp k338vHnz9OSTT2rZsmX64IMP9Pzzzys1NVXx8fFXnD8vL0+RkZFavXr1ZX2VKlWy/xwYGHgTnxIA UJY0fLfh9QcVgx1DdpTIPGUFoQ5OW79+vdq0aaM//OEP9rZf7027pGnTpmratKkmTJig1q1ba+HC hYqPj5ePj89lj/Bq1qyZsrOz5eXlpVq1arn7IwAAYFlcKAGn1a1bV5s3b9YXX3yhvXv36s9//rO+ /vpre39mZqYmTJigtLQ0HTx4UMuXL9e+ffvs59XVqlVLmZmZ2rZtm37++Wfl5+era9euat26te67 7z4tX75cBw4c0IYNG/Tcc89p8+bNpfVRAQC45RDq4LThw4erb9++GjhwoFq1aqXjx4877LULCAjQ nj171K9fP9WrV0+PPfaYRo4cqeHDh0uS+vXrp+7du6tTp04KDQ3VokWLZLPZ9Nlnn6l9+/Z65JFH VK9ePQ0aNEgHDx60n88HAACuz2aMMaVdRFmXm5ur4OBgnTp1SkFBQQ5958+fV2ZmJvdPKwNYFwBw a+CcOtdcK4f8GnvqAAAALIBQBwAAYAGEOgAAAAsg1AEAAFgAoQ4AAMACCHUAAAAWQKgDAACwAEId AACABRDqAAAALIBQhytat26d2rZtqypVqsjf31/169fXzJkzS7ssAABwFV6lXYClTQ4u4flOFdui AgMD9cQTT6hRo0YKDAzUunXrNHz4cAUGBuqxxx4rtnkAAEDxYE9dOfXWW28pKipKRUVFDu19+vTR o48+qqZNm+qBBx7Q7bffrlq1amnw4MFKSEjQ2rVrS6liAABwLYS6cqp///46fvy4Vq1aZW/LycnR smXLlJiYeNn4b775Rhs2bFCHDh1KskwAAOAkQl05VblyZfXo0UMLFy60t3388ceqWrWqOnXqZG+r Xr26fH191aJFC40cOVK///3vS6NcAABwHYS6ciwxMVEpKSnKz8+XJCUnJ2vQoEHy8Pj/zWLt2rXa vHmz5syZo1mzZmnRokWlVS4AALgGLpQox3r37i1jjJYuXao777xTa9euvewK15iYGElSw4YNdfTo UU2ePFkPPPBAaZQLAACugVBXjvn5+alv375KTk5WRkaGYmNj1axZs6uOLyoqsu/VAwAAZQuhrpxL TExUr169tHPnTg0ePNjePnv2bNWoUUP169eXJK1Zs0avvPKKnnzyydIqFQAAXAOhrpzr3LmzQkJC lJ6ergcffNDeXlRUpAkTJigzM1NeXl667bbb9Ne//lXDhw8vxWoBAMDVEOrcqRhvBuwuHh4eOnLk yGXto0aN0qhRo0qhIgAAcCO4+hUAAMACCHUAAAAWQKgDAACwAEIdAACABRDqAAAALIBQBwAAYAGE OgAAAAsg1AEAAFgAoQ4AAMACCHUAAAAWQKjDFa1evVo2m+2yV3Z2dmmXBgAAroBnv7pRw3cbluh8 O4bsKPZlpqenKygoyP4+LCys2OcAAAA3jz115dRbb72lqKgoFRUVObT36dNHjz76qP19WFiYIiIi 7C8PDzYZAADKIv4LXU71799fx48f16pVq+xtOTk5WrZsmRITE+1tTZo0UWRkpO6++26tX7++NEoF AABOINSVU5UrV1aPHj20cOFCe9vHH3+sqlWrqlOnToqMjNScOXOUkpKilJQURUdHq2PHjtq6dWsp Vg0AAK6Gc+rKscTERCUlJemNN96Qr6+vkpOTNWjQIHl4eCg2NlaxsbH2sW3atNH+/fs1c+ZMvffe e6VYNQAAuBL21JVjvXv3ljFGS5cu1eHDh7V27VqHQ6+/1bJlS2VkZJRghQAAwFnsqSvH/Pz81Ldv XyUnJysjI0OxsbFq1qzZVcdv27ZNkZGRJVghAABwFqGunEtMTFSvXr20c+dODR482N4+a9YsxcTE 6Pbbb9f58+f19ttva+XKlVq+fHkpVgsAAK6GUFfOde7cWSEhIUpPT9eDDz5oby8oKNDYsWP1448/ KiAgQI0aNdKXX36pTp06lWK1AADgagh1buSOmwEXNw8PDx05cuSy9meeeUbPPPNMKVQEAABuRKle KPHSSy/pzjvvVMWKFRUWFqb77rtP6enpDmPOnz+vkSNHqkqVKqpQoYL69euno0ePOow5dOiQ7rnn HgUEBCgsLEzjx4/XxYsXHcasXr1azZo1k6+vr+rUqaP58+e7++MBAACUmFINdf/97381cuRIbdy4 Uampqbpw4YK6deumM2fO2Mc8/fTT+s9//qOPPvpI//3vf3XkyBH17dvX3l9YWKh77rlHBQUF2rBh g959913Nnz9fEydOtI/JzMzUPffco06dOmnbtm0aPXq0fv/73+uLL74o0c8LAADgLjZjjCntIi75 6aefFBYWpv/+979q3769Tp06pdDQUC1cuFD333+/JGnPnj2Ki4tTWlqa4uPj9fnnn6tXr146cuSI wsPDJUlz5szRs88+q59++kk+Pj569tlntXTpUn333Xf2uQYNGqSTJ09q2bJl160rNzdXwcHBOnXq lMNzUKVf9iRmZmYqJiZGfn5+xfjXgKtYFwBwayipZ6PfCqdBOeNaOeTXytR96k6dOiVJCgkJkSRt 2bJFFy5cUNeuXe1j6tevrxo1aigtLU2SlJaWpoYNG9oDnSQlJCQoNzdXO3futI/59TIujbm0DAAA gFtdmblQoqioSKNHj1bbtm11xx13SJKys7Pl4+OjSpUqOYwNDw9Xdna2fcyvA92l/kt91xqTm5ur c+fOyd/f36EvPz9f+fn59ve5ubk3/wEBAADcqMzsqRs5cqS+++47vf/++6Vdil566SUFBwfbX9HR 0aVdEgAAwDWViVD3xBNPaMmSJVq1apWqV69ub4+IiFBBQYFOnjzpMP7o0aOKiIiwj/nt1bCX3l9v TFBQ0GV76SRpwoQJOnXqlP11+PDhm/6MAAAA7lSqoc4YoyeeeEKffvqpVq5cqZiYGIf+5s2by9vb WytWrLC3paen69ChQ2rdurUkqXXr1tqxY4eOHTtmH5OamqqgoCA1aNDAPubXy7g05tIyfsvX11dB QUEOLwAAgLKsVM+pGzlypBYuXKh//etfqlixov0cuODgYPn7+ys4OFjDhg3TmDFjFBISoqCgII0a NUqtW7dWfHy8JKlbt25q0KCBHnroIU2bNk3Z2dl6/vnnNXLkSPn6+kqSHn/8cf3973/XM888o0cf fVQrV67Uhx9+qKVLl5baZwcAAChOpbqn7s0339SpU6fUsWNHRUZG2l8ffPCBfczMmTPVq1cv9evX T+3bt1dERIQ++eQTe7+np6eWLFkiT09PtW7dWoMHD9bDDz+sqVOn2sfExMRo6dKlSk1NVePGjTV9 +nS9/fbbSkhIKNHPCwAA4C5l6j51ZVV5vE/d6tWrr/ic16ysLPu5ir91/vx5Pf7449qyZYt2796t Xr16afHixW6u1HF+K64LALAa7lPnGmfvU1dmbmliRbvrx5XofHF7dhf7MtPT0x02oLCwsKuOLSws lL+/v5588kmlpKQUey0AAODqysTVryh5b731lqKiolRUVOTQ3qdPHz366KP292FhYYqIiLC/PDyu vskEBgbqzTffVFJS0lX35gEAAPcg1JVT/fv31/Hjx7Vq1Sp7W05OjpYtW6bExER7W5MmTRQZGam7 775b69evL41SAQCAEwh15VTlypXVo0cPLVy40N728ccfq2rVqurUqZMiIyM1Z84cpaSkKCUlRdHR 0erYsaO2bt1ailUDAICr4Zy6ciwxMVFJSUl644035Ovrq+TkZA0aNEgeHh6KjY1VbGysfWybNm20 f/9+zZw5U++9914pVg0AAK6EPXXlWO/evWWM0dKlS3X48GGtXbvW4dDrb7Vs2VIZGRklWCEAAHAW e+rKMT8/P/Xt21fJycnKyMhQbGysmjVrdtXx27ZtU2RkZAlWCAAAnEWoK+cSExPVq1cv7dy5U4MH D7a3z5o1SzExMbr99tt1/vx5vf3221q5cqWWL19uH/P3v/9dn376qcMj2Hbt2qWCggLl5OTo9OnT 2rZtm6RfLrgAAADuQ6gr5zp37qyQkBClp6frwQcftLcXFBRo7Nix+vHHHxUQEKBGjRrpyy+/dLgh 8c8//6z9+/c7LK9nz546ePCg/X3Tpk0l/fKcXwAA4D48UcIJ5fGJErci1gUA3Bp4ooRrnH2iBBdK AAAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0AAIAFEOqKCRcRlz7WAQCgPCPU3SRvb29J0tmzZ0u5 EhQUFEiSPD09S7kSAABKHjcfvkmenp6qVKmSjh07JkkKCAiQzWYr5arKn6KiIv30008KCAiQlxeb NQCg/OG/fsUgIiJCkuzBDqXDw8NDNWrUIFQDAMolQl0xsNlsioyMVFhYmC5cuFDa5ZRbPj4+8vDg jAIAQPlEqCtGnp6enM8FAABKBbs1AAAALIBQBwAAYAGEOgAAAAsg1AEAAFgAoQ4AAMACCHUAAAAW QKgDAACwAEIdAACABRDqAAAALIBQBwAAYAGEOgAAAAvg2a8AAMCSdtePK5F54vbsLpF5roc9dQAA ABZAqAMAALAAQh0AAIAFEOoAAAAsgAslAADALyYHl8w8MTVKZp5yhj11AAAAFkCoAwAAsABCHQAA gAUQ6gAAACyAUAcAAGABhDoAAAALINQBAABYAPepAwCgjKv1x6UlMs8BvxKZBm7CnjoAAAALINQB AABYAKEOAADAAgh1AAAAFkCoAwAAsABCHQAAgAXc0C1NLly4oOzsbJ09e1ahoaEKCQkp7roAAADg Aqf31J0+fVpvvvmmOnTooKCgINWqVUtxcXEKDQ1VzZo1lZSUpK+//tqdtQIAAOAqnAp1M2bMUK1a tTRv3jx17dpVixcv1rZt27R3716lpaVp0qRJunjxorp166bu3btr37597q4bAAAAv+LU4devv/5a a9as0e23337F/pYtW+rRRx/VnDlzNG/ePK1du1Z169Yt1kIBAABwdU6FukWLFjm1MF9fXz3++OM3 VRAAAABcd9NXv+bm5mrx4sXavXt3cdQDAACAG+ByqBswYID+/ve/S5LOnTunFi1aaMCAAWrUqJFS UlKKvUAAAABcn8uhbs2aNbrrrrskSZ9++qmMMTp58qRee+01vfDCC8VeIAAAAK7P5VB36tQp+33p li1bpn79+ikgIED33HMPV70CAACUEpdDXXR0tNLS0nTmzBktW7ZM3bp1kySdOHFCfn5+xV4gAAAA rs/lJ0qMHj1aiYmJqlChgmrWrKmOHTtK+uWwbMOGDYu7PgAAADjB5VD3hz/8QS1bttThw4d19913 y8Pjl519tWvX5pw6AACAUnJDz35t0aKFWrRo4dB2zz33FEtBAAAAcJ3Loc4Yo48//lirVq3SsWPH VFRU5ND/ySefFFtxAAAAcM4NnVP3j3/8Q506dVJ4eLhsNps76gIAAIALXA517733nj755BP17NnT HfUAAADgBrh8S5Pg4GDVrl3bHbUAAADgBrkc6iZPnqwpU6bo3Llz7qgHAAAAN8Dlw68DBgzQokWL FBYWplq1asnb29uhf+vWrcVWHAAAAJzjcqgbMmSItmzZosGDB3OhBAAAQBnhcqhbunSpvvjiC7Vr 184d9QAAAOAG3NCzX4OCgtxRCwAAAG6Qy6Fu+vTpeuaZZ3TgwAE3lAMAAIAb4fLh18GDB+vs2bO6 7bbbFBAQcNmFEjk5OcVWHAAAAJzjcqibNWuWG8oAAADAzbihq18BAABQtjh1Tt2ZM2dcWqiz49es WaPevXsrKipKNptNixcvdugfOnSobDabw6t79+4OY3JycpSYmKigoCBVqlRJw4YNU15ensOY7du3 66677pKfn5+io6M1bdo0lz4PAABAWedUqKtTp45efvllZWVlXXWMMUapqanq0aOHXnvtNacmP3Pm jBo3bqzZs2dfdUz37t2VlZVlfy1atMihPzExUTt37lRqaqqWLFmiNWvW6LHHHrP35+bmqlu3bqpZ s6a2bNmiv/3tb5o8ebLeeustp2oEAAC4FTh1+HX16tX605/+pMmTJ6tx48Zq0aKFoqKi5OfnpxMn TmjXrl1KS0uTl5eXJkyYoOHDhzs1eY8ePdSjR49rjvH19VVERMQV+3bv3q1ly5bp66+/VosWLSRJ r7/+unr27KlXXnlFUVFRSk5OVkFBgf75z3/Kx8dHt99+u7Zt26YZM2Y4hD8AAIBbmVN76mJjY5WS kqK9e/dqwIAB+vHHH/Xxxx9r7ty5Wr16tapVq6a5c+fqwIED+sMf/iBPT89iK3D16tUKCwtTbGys RowYoePHj9v70tLSVKlSJXugk6SuXbvKw8NDmzZtso9p3769fHx87GMSEhKUnp6uEydOXHHO/Px8 5ebmOrwAAADKMpculKhRo4bGjh2rsWPHuqseB927d1ffvn0VExOj/fv3609/+pN69OihtLQ0eXp6 Kjs7W2FhYQ6/4+XlpZCQEGVnZ0uSsrOzFRMT4zAmPDzc3le5cuXL5n3ppZc0ZcoUN30qAACA4ufy 1a8ladCgQfafGzZsqEaNGum2227T6tWr1aVLF7fNO2HCBI0ZM8b+Pjc3V9HR0W6bDwAA4Ga5/ESJ 0lS7dm1VrVpVGRkZkqSIiAgdO3bMYczFixeVk5NjPw8vIiJCR48edRhz6f3VztXz9fVVUFCQwwsA AKAsu6VC3Q8//KDjx48rMjJSktS6dWudPHlSW7ZssY9ZuXKlioqK1KpVK/uYNWvW6MKFC/Yxqamp io2NveKhVwAAgFtRqYa6vLw8bdu2Tdu2bZMkZWZmatu2bTp06JDy8vI0fvx4bdy4UQcOHNCKFSvU p08f1alTRwkJCZKkuLg4de/eXUlJSfrqq6+0fv16PfHEExo0aJCioqIkSQ8++KB8fHw0bNgw7dy5 Ux988IFeffVVh8OrAAAAt7pSDXWbN29W06ZN1bRpU0nSmDFj1LRpU02cOFGenp7avn277r33XtWr V0/Dhg1T8+bNtXbtWvn6+tqXkZycrPr166tLly7q2bOn2rVr53APuuDgYC1fvlyZmZlq3ry5xo4d q4kTJ3I7EwAAYCk3dKHE2rVr9Y9//EP79+/Xxx9/rGrVqum9995TTEyM2rVr5/RyOnbsKGPMVfu/ +OKL6y4jJCRECxcuvOaYRo0aae3atU7XBaB4NXy3YYnMs2PIjhKZBwDKIpf31KWkpCghIUH+/v76 5ptvlJ+fL0k6deqUXnzxxWIvEAAAANfncqh74YUXNGfOHM2dO1fe3t729rZt22rr1q3FWhwAAACc 43KoS09PV/v27S9rDw4O1smTJ4ujJgAAALjI5XPqIiIilJGRoVq1ajm0r1u3TrVr1y6uugDAZbvr x5XIPHF7dpfIPADgCpf31CUlJempp57Spk2bZLPZdOTIESUnJ2vcuHEaMWKEO2oEAADAdbi8p+6P f/yjioqK1KVLF509e1bt27eXr6+vxo0bp1GjRrmjRgAAAFyHy6HOZrPpueee0/jx45WRkaG8vDw1 aNBAFSpUcEd9AAAAcMIN3adOknx8fNSgQYPirAUAAAA3yOVQd/78eb3++utatWqVjh07pqKiIod+ bmsCAABQ8lwOdcOGDdPy5ct1//33q2XLlrLZbO6oCwAAAC5wOdQtWbJEn332mdq2beuOegAAAHAD XL6lSbVq1VSxYkV31AIAAIAb5HKomz59up599lkdPHjQHfUAAADgBrh8+LVFixY6f/68ateurYCA AIfnv0pSTk5OsRUHAAAA57gc6h544AH9+OOPevHFFxUeHs6FEgAAAGWAy6Fuw4YNSktLU+PGjd1R DwAAAG6Ay+fU1a9fX+fOnXNHLQAAALhBLoe6l19+WWPHjtXq1at1/Phx5ebmOrwAAABQ8lw+/Nq9 e3dJUpcuXRzajTGy2WwqLCwsnsoAAADgNJdD3apVq9xRBwAAAG6Cy6GuQ4cO7qgDAAAAN8GpULd9 +3bdcccd8vDw0Pbt2685tlGjRsVSGAAAAJznVKhr0qSJsrOzFRYWpiZNmshms8kYc9k4zqkDAAAo HU6FuszMTIWGhtp/BgAAQNniVKirWbOm/eeDBw+qTZs28vJy/NWLFy9qw4YNDmMBADeu1h+Xlsg8 B16+p0TmAeBeLt+nrlOnTld8vuupU6fUqVOnYikKAAAArnE51F26H91vHT9+XIGBgcVSFAAAAFzj 9C1N+vbtK+mXiyGGDh0qX19fe19hYaG2b9+uNm3aFH+FAAAAuC6nQ11wcLCkX/bUVaxYUf7+/vY+ Hx8fxcfHKykpqfgrBAAAwHU5HermzZsnSapVq5bGjRvHoVYAAIAyxOUnSkyaNMkddQAAAOAmuHyh BAAAAMoeQh0AAIAFEOoAAAAswOlQ98Ybb7izDgAAANwEp0Pd888/r4SEBB05csSd9QAAAOAGOB3q vvvuO3l5eemOO+7Q//7v/7qzJgAAALjI6VuaREVFaenSpZo/f76efPJJffrpp3ruuefk5eW4iEaN GhV7kQAAALg2l+9TN3ToUFWvXl3du3fX4sWL7c+CvfS/hYWF7qgTAAAA1+Dy1a8zZsxQnz59NHjw YO3du1eZmZn6/vvv7f8LAACAkuf0nrrvv/9eQ4YM0b59+7Rw4UL16dPHnXUBAADABU7vqWvUqJHC wsL03XffEegAAADKGKdD3Zw5c5SSkqKKFSvqzJkz7qwJAAAALnI61CUkJKhHjx6qUKGCgoKCFB8f r4yMDHfWBgAAACc5HeqeffZZbdu2TVOnTtUrr7yikydPKikpyZ21AQAAwElOXyiRmpqq+fPnKyEh QZLUq1cvxcXFKT8/X76+vm4rEAAAANfn9J66I0eOqHHjxvb3devWla+vr7KystxSGAAAAJzn0n3q PD09L3tvjCnWggAAAOA6pw+/GmNUr1492Ww2e1teXp6aNm0qD4//z4Y5OTnFWyFQDtX649ISmefA y/eUyDwAAPdzOtTNmzfPnXUAAADgJjgd6oYMGeLOOgAAAHATnA51l5w7d06pqanau3evJCk2NlZd u3aVv79/sRcHwM0mB5fMPDE1SmYeACjHXAp1//73v/X73/9eP//8s0N71apV9c4776h3797FWhwA AACc4/TVrxs2bND999+v9u3ba/369crJyVFOTo7WrVunu+66S/fff782btzozloBAABwFU7vqXvh hRf0yCOP6B//+IdDe5s2bdSmTRsNHz5cU6dO1WeffVbsRQIAAODanN5Tt3HjRj3xxBNX7R85cqTS 0tKKpSgAAAC4xulQd+7cOQUFBV21Pzg4WOfPny+WogAAAOAap0Nd3bp1tXLlyqv2r1ixQnXr1i2W ogAAAOAap0PdI488onHjxl3xnLmlS5fqmWee0dChQ4uzNgAAADjJ6QslnnrqKW3YsEG9evVSbGys 4uLiZIzR7t27tW/fPt13330aPXq0G0sFAADA1Ti9p87Dw0MfffSRFi1apNjYWO3Zs0fp6emqX7++ kpOTlZKS4vAMWAAAAJQcl58oMXDgQA0cONAdtZR7PMQdAADcKKd3rR05ckTjxo1Tbm7uZX2nTp3S +PHjdfTo0WItDgAAAM5xOtTNmDFDubm5V7ytSXBwsE6fPq0ZM2YUa3EAAABwjtOhbtmyZXr44Yev 2v/www9ryZIlxVIUAAAAXON0qMvMzFSNGjWu2l+9enUdOHCgOGoCAACAi5wOdf7+/tcMbQcOHJC/ v39x1AQAAAAXOR3qWrVqpffee++q/QsWLFDLli2LpSgAAAC4xulbmowbN0533323goODNX78eIWH h0uSjh49qmnTpmn+/Plavny52woFAADA1Tkd6jp16qTZs2frqaee0syZMxUUFCSbzaZTp07J29tb r7/+ujp37uzOWgEAAHAVLt18ePjw4erVq5c+/PBDZWRkyBijevXq6f7771f16tXdVSMAAACuw+Un SlSrVk1PP/20O2oBAADADeJhrQAAABZAqAMAALAAQh0AAIAFEOoAAAAs4IZC3cmTJ/X2229rwoQJ ysnJkSRt3bpVP/74Y7EWBwAAAOe4fPXr9u3b1bVrVwUHB+vAgQNKSkpSSEiIPvnkEx06dEgLFixw R50AAAC4Bpf31I0ZM0ZDhw7Vvn375OfnZ2/v2bOn1qxZ49Ky1qxZo969eysqKko2m02LFy926DfG aOLEiYqMjJS/v7+6du2qffv2OYzJyclRYmKigoKCVKlSJQ0bNkx5eXkOY7Zv36677rpLfn5+io6O 1rRp01z70AAAAGWcy6Hu66+/1vDhwy9rr1atmrKzs11a1pkzZ9S4cWPNnj37iv3Tpk3Ta6+9pjlz 5mjTpk0KDAxUQkKCzp8/bx+TmJionTt3KjU1VUuWLNGaNWv02GOP2ftzc3PVrVs31axZU1u2bNHf /vY3TZ48WW+99ZZLtQIAAJRlLh9+9fX1VW5u7mXte/fuVWhoqEvL6tGjh3r06HHFPmOMZs2apeef f159+vSRJC1YsEDh4eFavHixBg0apN27d2vZsmX6+uuv1aJFC0nS66+/rp49e+qVV15RVFSUkpOT VVBQoH/+85/y8fHR7bffrm3btmnGjBkO4Q8AAOBW5vKeunvvvVdTp07VhQsXJEk2m02HDh3Ss88+ q379+hVbYZmZmcrOzlbXrl3tbcHBwWrVqpXS0tIkSWlpaapUqZI90ElS165d5eHhoU2bNtnHtG/f Xj4+PvYxCQkJSk9P14kTJ644d35+vnJzcx1eAAAAZZnLoW769OnKy8tTWFiYzp07pw4dOqhOnTqq WLGi/vKXvxRbYZcO5YaHhzu0h4eH2/uys7MVFhbm0O/l5aWQkBCHMVdaxq/n+K2XXnpJwcHB9ld0 dPTNfyAAAAA3cvnwa3BwsFJTU7Vu3Tpt375deXl5atasmcMetVvdhAkTNGbMGPv73Nxcgh0AACjT XA51l7Rr107t2rUrzlocRERESJKOHj2qyMhIe/vRo0fVpEkT+5hjx445/N7FixeVk5Nj//2IiAgd PXrUYcyl95fG/Javr698fX2L5XMAAACUBJdD3WuvvXbFdpvNJj8/P9WpU0ft27eXp6fnTRUWExOj iIgIrVixwh7icnNztWnTJo0YMUKS1Lp1a508eVJbtmxR8+bNJUkrV65UUVGRWrVqZR/z3HPP6cKF C/L29pYkpaamKjY2VpUrV76pGgEAAMoKl0PdzJkz9dNPP+ns2bP2UHTixAkFBASoQoUKOnbsmGrX rq1Vq1Zd95BlXl6eMjIy7O8zMzO1bds2hYSEqEaNGho9erReeOEF1a1bVzExMfrzn/+sqKgo3Xff fZKkuLg4de/eXUlJSZozZ44uXLigJ554QoMGDVJUVJQk6cEHH9SUKVM0bNgwPfvss/ruu+/06quv aubMma5+dAAAgDLL5QslXnzxRd15553at2+fjh8/ruPHj2vv3r1q1aqVXn31VR06dEgRERF6+umn r7uszZs3q2nTpmratKmkX25s3LRpU02cOFGS9Mwzz2jUqFF67LHHdOeddyovL0/Lli1zuOlxcnKy 6tevry5duqhnz55q166dwz3ogoODtXz5cmVmZqp58+YaO3asJk6cyO1MAACApbi8p+75559XSkqK brvtNntbnTp19Morr6hfv376/vvvNW3aNKdub9KxY0cZY67ab7PZNHXqVE2dOvWqY0JCQrRw4cJr ztOoUSOtXbv2uvUAAADcqlzeU5eVlaWLFy9e1n7x4kX7LUKioqJ0+vTpm68OAAAATnE51HXq1EnD hw/XN998Y2/75ptvNGLECHXu3FmStGPHDsXExBRflQAAALgml0PdO++8o5CQEDVv3tx+648WLVoo JCRE77zzjiSpQoUKmj59erEXCwAAgCtz+Zy6iIgIpaamas+ePdq7d68kKTY2VrGxsfYxnTp1Kr4K AQAAcF03fPPh+vXrq379+sVZCwAAxWJ3/bgSmSduz+4SmQdwxg2Fuh9++EH//ve/dejQIRUUFDj0 zZgxo1gKw62v4bsNS2yuD1+6/OIdd+ALHLhxJfqdUGIzAWWHy6FuxYoVuvfee1W7dm3t2bNHd9xx hw4cOCBjjJo1a+aOGgEAAHAdLoe6CRMmaNy4cZoyZYoqVqyolJQUhYWFKTExUd27d3dHjShuk4NL Zp6YGiUzDwAAcD3U7d69W4sWLfrll728dO7cOVWoUEFTp05Vnz597M9lBQDcIvg/eoAluHxLk8DA QPt5dJGRkdq/f7+97+effy6+ygAAAOA0l/fUxcfHa926dYqLi1PPnj01duxY7dixQ5988oni4+Pd USMAAACuw+VQN2PGDOXl5UmSpkyZory8PH3wwQeqW7cuV74CAACUEpdCXWFhoX744Qc1atRI0i+H YufMmeOWwgAAAOA8l86p8/T0VLdu3XTixAl31QMAAIAb4PKFEnfccYe+//57d9QCAACAG+RyqHvh hRc0btw4LVmyRFlZWcrNzXV4AQAAoOS5fKFEz549JUn33nuvbDabvd0YI5vNpsLCwuKrDgAAAE5x OdStWrXKHXUAAADgJrgc6jp06OCOOgAAAHATXD6nTpLWrl2rwYMHq02bNvrxxx8lSe+9957WrVtX rMUBAADAOS6HupSUFCUkJMjf319bt25Vfn6+JOnUqVN68cUXi71AAAAAXN8NXf06Z84czZ07V97e 3vb2tm3bauvWrcVaHAAAAJzjcqhLT09X+/btL2sPDg7WyZMni6MmAAAAuMjlUBcREaGMjIzL2tet W6fatWsXS1EAAABwjcuhLikpSU899ZQ2bdokm82mI0eOKDk5WePGjdOIESPcUSMAAACuw+Vbmvzx j39UUVGRunTporNnz6p9+/by9fXVuHHjNGrUKHfUCAAAgOtwOdTZbDY999xzGj9+vDIyMpSXl6cG DRqoQoUK7qgPAAAATnD58Ov//u//6uzZs/Lx8VGDBg3UsmVLAh0AAEApcznUPf300woLC9ODDz6o zz77jGe9AgAAlAEuh7qsrCy9//77stlsGjBggCIjIzVy5Eht2LDBHfUBAADACS6HOi8vL/Xq1UvJ yck6duyYZs6cqQMHDqhTp0667bbb3FEjAAAArsPlCyV+LSAgQAkJCTpx4oQOHjyo3bt3F1ddAAAA cIHLe+ok6ezZs0pOTlbPnj1VrVo1zZo1S7/73e+0c+fO4q4PAAAATnB5T92gQYO0ZMkSBQQEaMCA Afrzn/+s1q1bu6M2AAAAOMnlUOfp6akPP/xQCQkJ8vT0dOj77rvvdMcddxRbcQAAAHCOy6EuOTnZ 4f3p06e1aNEivf3229qyZQu3OAEAACgFN3ROnSStWbNGQ4YMUWRkpF555RV17txZGzduLM7aAAAA 4CSX9tRlZ2dr/vz5euedd5Sbm6sBAwYoPz9fixcvVoMGDdxVIwAAAK7D6T11vXv3VmxsrLZv365Z s2bpyJEjev31191ZGwAAAJzk9J66zz//XE8++aRGjBihunXrurMmAAAAuMjpPXXr1q3T6dOn1bx5 c7Vq1Up///vf9fPPP7uzNgAAADjJ6VAXHx+vuXPnKisrS8OHD9f777+vqKgoFRUVKTU1VadPn3Zn nQAAALgGl69+DQwM1KOPPqp169Zpx44dGjt2rF5++WWFhYXp3nvvdUeNAAAAuI4bvqWJJMXGxmra tGn64YcftGjRouKqCQAAAC66qVB3iaenp+677z79+9//Lo7FAQAAwEXFEuoAAABQugh1AAAAFkCo AwAAsABCHQAAgAUQ6gAAACyAUAcAAGABhDoAAAALINQBAABYAKEOAADAAgh1AAAAFkCoAwAAsABC HQAAgAUQ6gAAACyAUAcAAGABhDoAAAALINQBAABYAKEOAADAAgh1AAAAFkCoAwAAsABCHQAAgAUQ 6gAAACyAUAcAAGABhDoAAAALINQBAABYAKEOAADAAgh1AAAAFkCoAwAAsABCHQAAgAUQ6gAAACyA UAcAAGABhDoAAAALINQBAABYAKEOAADAAsp0qJs8ebJsNpvDq379+vb+8+fPa+TIkapSpYoqVKig fv366ejRow7LOHTokO655x4FBAQoLCxM48eP18WLF0v6owAAALiVV2kXcD233367vvzyS/t7L6// L/npp5/W0qVL9dFHHyk4OFhPPPGE+vbtq/Xr10uSCgsLdc899ygiIkIbNmxQVlaWHn74YXl7e+vF F18s8c8CAADgLmU+1Hl5eSkiIuKy9lOnTumdd97RwoUL1blzZ0nSvHnzFBcXp40bNyo+Pl7Lly/X rl279OWXXyo8PFxNmjTR//zP/+jZZ5/V5MmT5ePjU9IfBwAAwC3K9OFXSdq3b5+ioqJUu3ZtJSYm 6tChQ5KkLVu26MKFC+ratat9bP369VWjRg2lpaVJktLS0tSwYUOFh4fbxyQkJCg3N1c7d+686pz5 +fnKzc11eAEAAJRlZTrUtWrVSvPnz9eyZcv05ptvKjMzU3fddZdOnz6t7Oxs+fj4qFKlSg6/Ex4e ruzsbElSdna2Q6C71H+p72peeuklBQcH21/R0dHF+8EAAACKWZk+/NqjRw/7z40aNVKrVq1Us2ZN ffjhh/L393fbvBMmTNCYMWPs73Nzcwl2AACgTCvTe+p+q1KlSqpXr54yMjIUERGhgoICnTx50mHM 0aNH7efgRUREXHY17KX3VzpP7xJfX18FBQU5vAAAAMqyWyrU5eXlaf/+/YqMjFTz5s3l7e2tFStW 2PvT09N16NAhtW7dWpLUunVr7dixQ8eOHbOPSU1NVVBQkBo0aFDi9QMAALhLmT78Om7cOPXu3Vs1 a9bUkSNHNGnSJHl6euqBBx5QcHCwhg0bpjFjxigkJERBQUEaNWqUWrdurfj4eElSt27d1KBBAz30 0EOaNm2asrOz9fzzz2vkyJHy9fUt5U8HAABQfMp0qPvhhx/0wAMP6Pjx4woNDVW7du20ceNGhYaG SpJmzpwpDw8P9evXT/n5+UpISNAbb7xh/31PT08tWbJEI0aMUOvWrRUYGKghQ4Zo6tSppfWRAAAA 3KJMh7r333//mv1+fn6aPXu2Zs+efdUxNWvW1GeffVbcpQEAAJQpt9Q5dQAAALgyQh0AAIAFEOoA AAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0AAIAFEOoAAAAsgFAH AABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6 AAAACyDUAQAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDU AQAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWACh DgAAwAIIdQAAABZAqAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAII dQAAABZAqAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZA qAMAALAAQh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZAqAMAALAA Qh0AAIAFEOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWAChDgAAwAIIdQAAABZAqAMAALAAQh0AAIAF EOoAAAAsgFAHAABgAYQ6AAAACyDUAQAAWEC5CnWzZ89WrVq15Ofnp1atWumrr74q7ZIAAACKRbkJ dR988IHGjBmjSZMmaevWrWrcuLESEhJ07Nix0i4NAADgppWbUDdjxgwlJSXpkUceUYMGDTRnzhwF BATon//8Z2mXBgAAcNO8SruAklBQUKAtW7ZowoQJ9jYPDw917dpVaWlpl43Pz89Xfn6+/f2pU6ck Sbm5uW6tsyj/rFuXf0muzZTIPIXnCktkHknKKyyZudy9DVzCtnBj2A5ujNW2A4lt4UZZbVuwynZw afnGXHv9lItQ9/PPP6uwsFDh4eEO7eHh4dqzZ89l41966SVNmTLlsvbo6Gi31ViSgktspt0lNlPL kpoouOT+eiXBatsC28GNsdp2ILEt3CirbQtW2w5Onz6t4GvMVS5CnasmTJigMWPG2N8XFRUpJydH VapUkc1mK8XKbh25ubmKjo7W4cOHFRQUVNrloBSxLUBiO8D/Y1twnTFGp0+fVlRU1DXHlYtQV7Vq VXl6euro0aMO7UePHlVERMRl4319feXr6+vQVqlSJXeWaFlBQUH8o4UktgX8gu0Al7AtuOZae+gu KRcXSvj4+Kh58+ZasWKFva2oqEgrVqxQ69atS7EyAACA4lEu9tRJ0pgxYzRkyBC1aNFCLVu21KxZ s3TmzBk98sgjpV0aAADATSs3oW7gwIH66aefNHHiRGVnZ6tJkyZatmzZZRdPoHj4+vpq0qRJlx3G RvnDtgCJ7QD/j23BfWzmetfHAgAAoMwrF+fUAQAAWB2hDgAAwAIIdQAAABZAqAMAALAAQp1FdezY UaNHjy7zy8TNY10DwC+GDh2q++67r7TLKDWEOgAAACswsJwhQ4YYSQ6vzMxMs2PHDtO9e3cTGBho wsLCzODBg81PP/1kjDFm1apVxtvb26xZs8a+nL/+9a8mNDTUZGdnX3WZ17Jq1SojyXz55ZemefPm xt/f37Ru3drs2bPHYdwbb7xhateubby9vU29evXMggULHPolmblz55r77rvP+Pv7mzp16ph//etf DmOu9dmsrKysa2Ouvw4++ugjc8cddxg/Pz8TEhJiunTpYvLy8uz977zzjmnQoIHx8fExERERZuTI kfa+6dOnmzvuuMMEBASY6tWrmxEjRpjTp0/b++fNm2eCg4PNp59+aurUqWN8fX1Nt27dzKFDhxxq XLx4sWnatKnx9fU1MTExZvLkyebChQsu/91vdYWFheavf/2rue2224yPj4+Jjo42L7zwgsnPzzcj R440ERERxtfX19SoUcO8+OKLxhhjHnjgATNgwACH5RQUFJgqVaqYd99997pzdujQwYwaNcqMHz/e VK5c2YSHh5tJkyY5jDl48KC59957TWBgoKlYsaLp37+/yc7OtvdPmjTJNG7c2CxYsMDUrFnTBAUF mYEDB5rc3FyHz/biiy+aWrVqGT8/P9OoUSPz0Ucf3cRfy3pKY/3n5eWZhx56yAQGBpqIiAjzyiuv mA4dOpinnnrKPkaS+fTTTx1+Lzg42MybN8/+fvv27aZTp07275GkpCT7d8GkSZMu++5atWqVMcaY Q4cOmf79+5vg4GBTuXJlc++99zr1vXarIdRZ0MmTJ03r1q1NUlKSycrKMllZWebnn382oaGhZsKE CWb37t1m69at5u677zadOnWy/9748eNNzZo1zcmTJ83WrVuNj4+PPTxdaZkXL168Zh2XQl2rVq3M 6tWrzc6dO81dd91l2rRpYx/zySefGG9vbzN79myTnp5upk+fbjw9Pc3KlSvtYySZ6tWrm4ULF5p9 +/aZJ5980lSoUMEcP37cGGPMiRMnrvvZrKqsrOvrrYMjR44YLy8vM2PGDJOZmWm2b99uZs+ebf8y fuONN4yfn5+ZNWuWSU9PN1999ZWZOXOmffkzZ840K1euNJmZmWbFihUmNjbWjBgxwt4/b9484+3t bVq0aGE2bNhgNm/ebFq2bOmwra1Zs8YEBQWZ+fPnm/3795vly5ebWrVqmcmTJ9/0erjVPPPMM6Zy 5cpm/vz5JiMjw6xdu9bMnTvX/O1vfzPR0dFmzZo15sCBA2bt2rVm4cKFxhhjlixZYvz9/R3C9H/+ 8x/j7+/vEKqupkOHDiYoKMhMnjzZ7N2717z77rvGZrOZ5cuXG2N+CRpNmjQx7dq1M5s3bzYbN240 zZs3Nx06dLAvY9KkSaZChQqmb9++ZseOHWbNmjUmIiLC/OlPf7KPeeGFF0z9+vXNsmXLzP79+828 efOMr6+vWb16dTH99W59pbH+R4wYYWrUqGG+/PJLs337dtOrVy9TsWJFl0JdXl6eiYyMtK//FStW mJiYGDNkyBBjjDGnT582AwYMMN27d7d/d+Xn55uCggITFxdnHn30UbN9+3aza9cu8+CDD5rY2FiT n59/U3/LsoZQZ1G//X9A//M//2O6devmMObw4cNGkklPTzfGGJOfn2+aNGliBgwYYBo0aGCSkpKu uczr+fWeukuWLl1qJJlz584ZY4xp06bNZfP079/f9OzZ0/5eknn++eft7/Py8owk8/nnnzv92ays LKzr6825ZcsWI8kcOHDgir8fFRVlnnvuOafn++ijj0yVKlXs7+fNm2ckmY0bN9rbdu/ebSSZTZs2 GWOM6dKli32vwyXvvfeeiYyMdHpeK8jNzTW+vr5m7ty5l/WNGjXKdO7c2RQVFV3Wd+HCBVO1alWH PekPPPCAGThwoFPzdujQwbRr186h7c477zTPPvusMcaY5cuXG09PT4e9qzt37jSSzFdffWWM+SXU BQQEOISI8ePHm1atWhljjDl//rwJCAgwGzZscJhn2LBh5oEHHnCqTqsrjfV/+vRp4+PjYz788EN7 2/Hjx42/v79Loe6tt94ylStXdtjDv3TpUuPh4WHfoztkyBDTp08fh2W89957JjY21uFz5efnG39/ f/PFF19ct/5bCefUlRPffvutVq1apQoVKthf9evXlyTt379fkuTj46Pk5GSlpKTo/PnzmjlzZrHM 3ahRI/vPkZGRkqRjx45Jknbv3q22bds6jG/btq1279591WUEBgYqKCjIvgxnPlt5Uhrr+npzNm7c WF26dFHDhg3Vv39/zZ07VydOnJD0y7Zw5MgRdenS5arL//LLL9WlSxdVq1ZNFStW1EMPPaTjx4/r 7Nmz9jFeXl6688477e/r16+vSpUq2belb7/9VlOnTnWoMSkpSVlZWQ7Lsbrdu3crPz//in/voUOH atu2bYqNjdWTTz6p5cuX2/u8vLw0YMAAJScnS5LOnDmjf/3rX0pMTHR67l//O5Z++T749XdBdHS0 oqOj7f0NGjRwWIeSVKtWLVWsWPGKy8jIyNDZs2d19913O6znBQsWlMvvgispjfW/f/9+FRQUqFWr Vva2kJAQxcbGulx748aNFRgYaG9r27atioqKlJ6eftXf+/bbb5WRkaGKFSvat4mQkBCdP3/ecttF uXn2a3mXl5en3r17669//etlfZeCliRt2LBBkpSTk6OcnByHfzw3ytvb2/6zzWaTJBUVFd3wMi4t 59IynP1s5UVprOvrzenp6anU1FRt2LBBy5cv1+uvv67nnntOmzZtUtWqVa+57AMHDqhXr14aMWKE /vKXvygkJETr1q3TsGHDVFBQoICAAKdrnDJlivr27XtZn5+fn3Mf1AL8/f2v2tesWTNlZmbq888/ 15dffqkBAwaoa9eu+vjjjyVJiYmJ6tChg44dO6bU1FT5+/ure/fuTs99rX/HxbGMvLw8SdLSpUtV rVo1h3E8Z/QXpbn+r8dms8n85smlFy5cuOnl5uXlqXnz5vZA+muhoaE3vfyyhD11FuXj46PCwkL7 +2bNmmnnzp2qVauW6tSp4/C69B/z/fv36+mnn9bcuXPVqlUrDRkyxOEL97fLLA5xcXFav369Q9v6 9evVoEEDp5fhzGezsrKwrp2Z02azqW3btpoyZYq++eYb+fj46NNPP1XFihVVq1YtrVix4orL3rJl i4qKijR9+nTFx8erXr16OnLkyGXjLl68qM2bN9vfp6en6+TJk4qLi7PXmJ6efll9derUkYdH+fkq rFu3rvz9/a/69w4KCtLAgQM1d+5cffDBB0pJSVFOTo4kqU2bNoqOjtYHH3yg5ORk9e/f/7KQdaPi 4uJ0+PBhHT582N62a9cunTx50unvgwYNGsjX11eHDh26bB3/eg9geVYa6/+2226Tt7e3Nm3aZG87 ceKE9u7d6zAuNDRUWVlZ9vf79u1z2IseFxenb7/9VmfOnLG3rV+/Xh4eHva9flf67mrWrJn27dun sLCwy7aL4ODg69Z/Synt479wj6SkJHPnnXeazMxM89NPP5kff/zRhIaGmvvvv9989dVXJiMjwyxb tswMHTrUXLx40Vy8eNHEx8ebfv36GWN+ObG9SpUqZtq0aVddZmFh4TVruHRO3YkTJ+xt33zzjcPV lJ9++qnx9vY2b7zxhtm7d6/9QolLVywZc/3zLK732ayuLKzr6825ceNG85e//MV8/fXX5uDBg+bD Dz80Pj4+5rPPPjPGGDN//nzj5+dnXn31VbN3716zZcsW89prrxljjNm2bZuRZGbNmmX2799vFixY YKpVq+awbV26UKJly5Zm48aNZvPmzSY+Pt7Ex8fba1y2bJnx8vIykydPNt99953ZtWuXWbRokUvn 8lnF5MmTTeXKlc27775rMjIyTFpamnn77bfN9OnTzcKFC83u3btNenq6GTZsmImIiHBY/88995xp 0KCB8fLyMmvXrnV6ziudp9mnTx/7Se5FRUWmSZMm5q677jJbtmwxmzZtuuKFEo0bN3ZYxsyZM03N mjUd6qtSpYr9IoBL29L8+fOdrtXqSmP9P/7446ZmzZpmxYoVZseOHebee+81FSpUcNgmBg0aZOLi 4szWrVvN119/bTp37my8vb3t3/VnzpwxkZGRpl+/fmbHjh1m5cqVpnbt2vZtyBhj/vKXv5gaNWqY PXv2mJ9++skUFBSYM2fOmLp165qOHTuaNWvWmO+//96sWrXKjBo1yhw+fPhm/5xlCqHOotLT0018 fLzx9/e3h6i9e/ea3/3ud6ZSpUrG39/f1K9f34wePdoUFRWZKVOmmMjISPPzzz/bl5GSkmJ8fHzM tm3brrrMa3Em1Bnj3C1NrneZ+7U+m9WVhXVtzLXXwa5du0xCQoIJDQ01vr6+pl69eub11193+P05 c+aY2NhY4+3tbSIjI82oUaPsfTNmzDCRkZHG39/fJCQkmAULFlwW6oKDg01KSoqpXbu28fX1NV27 djUHDx50mGPZsmWmTZs2xt/f3wQFBZmWLVuat9566wb/8reuwsJC88ILL5iaNWsab29v+60r3nrr LdOkSRMTGBhogoKCTJcuXczWrVsdfnfXrl1GkqlZs6ZL/76uF+qMcf6WJr/221BXVFRkZs2aZd+W QkNDTUJCgvnvf//rdK1WVxrr//Tp02bw4MEmICDAhIeHm2nTpl22Tfz444+mW7duJjAw0NStW9d8 9tlnLt3SxBhjjh07Zu6++25ToUIFh1uaZGVlmYcffthUrVrV+Pr6mtq1a5ukpCRz6tSpG/obllU2 Y35zABsAbjHz58/X6NGjdfLkydIuBYCTOnbsqCZNmmjWrFmlXYpllJ8TSQAAACyMUIcb9vjjjzvc NuDXr8cff7y0y0MxYl3jWg4dOnTV7aNChQo6dOhQaZcIN2L9lx0cfsUNO3bsmHJzc6/YFxQUpLCw sBKuCO7Cusa1XLx4UQcOHLhqf61ateTlxR20rIr1X3YQ6gAAACyAw68AAAAWQKgDAACwAEIdAACA BRDqAAAALIBQBwAAYAGEOgAAAAsg1AEAAFgAoQ4AAMAC/g+ASSHau96SxgAAAABJRU5ErkJggg== --000000000000845b030648ff1b93 Content-Type: text/x-patch; charset="US-ASCII"; name="v5.1-0001-Simple-heuristic-for-SIMD-COPY-FROM.patch" Content-Disposition: attachment; filename="v5.1-0001-Simple-heuristic-for-SIMD-COPY-FROM.patch" Content-Transfer-Encoding: base64 Content-ID: X-Attachment-Id: f_mkpu437y2 RnJvbSA0MGNkNDkxYThkY2MyYjkwNjE1YmE3NmY3YzRiMTZlNDQ5MWZjZDA0IE1vbiBTZXAgMTcg MDA6MDA6MDAgMjAwMQpGcm9tOiBBeW91YktBWiA8a2F6YXJheW91YjIwMDRAZ21haWwuY29tPgpE YXRlOiBUaHUsIDIyIEphbiAyMDI2IDIwOjAyOjUxICswMTAwClN1YmplY3Q6IFtQQVRDSF0gU2lt cGxlIGhldXJpc3RpYyBmb3IgU0lNRCBDT1BZIEZST00KCi0tLQogc3JjL2JhY2tlbmQvY29tbWFu ZHMvY29weWZyb21wYXJzZS5jIHwgMzIgKysrKysrKysrKysrKysrKysrKysrKysrKysrKwogMSBm aWxlIGNoYW5nZWQsIDMyIGluc2VydGlvbnMoKykKCmRpZmYgLS1naXQgYS9zcmMvYmFja2VuZC9j b21tYW5kcy9jb3B5ZnJvbXBhcnNlLmMgYi9zcmMvYmFja2VuZC9jb21tYW5kcy9jb3B5ZnJvbXBh cnNlLmMKaW5kZXggNTg2OGE3ZmExMWYuLmQxMzhkZDM3MzFjIDEwMDY0NAotLS0gYS9zcmMvYmFj a2VuZC9jb21tYW5kcy9jb3B5ZnJvbXBhcnNlLmMKKysrIGIvc3JjL2JhY2tlbmQvY29tbWFuZHMv Y29weWZyb21wYXJzZS5jCkBAIC03MSw3ICs3MSw5IEBACiAjaW5jbHVkZSAibWIvcGdfd2NoYXIu aCIKICNpbmNsdWRlICJtaXNjYWRtaW4uaCIKICNpbmNsdWRlICJwZ3N0YXQuaCIKKyNpbmNsdWRl ICJwb3J0L3BnX2JpdHV0aWxzLmgiCiAjaW5jbHVkZSAicG9ydC9wZ19ic3dhcC5oIgorI2luY2x1 ZGUgInBvcnQvc2ltZC5oIgogI2luY2x1ZGUgInV0aWxzL2J1aWx0aW5zLmgiCiAjaW5jbHVkZSAi dXRpbHMvcmVsLmgiCiAKQEAgLTEyNDgsNiArMTI1MCw3IEBAIENvcHlSZWFkTGluZVRleHQoQ29w eUZyb21TdGF0ZSBjc3RhdGUsIGJvb2wgaXNfY3N2KQogCWJvb2wJCW5lZWRfZGF0YSA9IGZhbHNl OwogCWJvb2wJCWhpdF9lb2YgPSBmYWxzZTsKIAlib29sCQlyZXN1bHQgPSBmYWxzZTsKKwlpbnQg CQlzaW1kX2JvdW5kYXJ5OwogCiAJLyogQ1NWIHZhcmlhYmxlcyAqLwogCWJvb2wJCWluX3F1b3Rl ID0gZmFsc2UsCkBAIC0xMjkyLDYgKzEyOTUsNyBAQCBDb3B5UmVhZExpbmVUZXh0KENvcHlGcm9t U3RhdGUgY3N0YXRlLCBib29sIGlzX2NzdikKIAljb3B5X2lucHV0X2J1ZiA9IGNzdGF0ZS0+aW5w dXRfYnVmOwogCWlucHV0X2J1Zl9wdHIgPSBjc3RhdGUtPmlucHV0X2J1Zl9pbmRleDsKIAljb3B5 X2J1Zl9sZW4gPSBjc3RhdGUtPmlucHV0X2J1Zl9sZW47CisJc2ltZF9ib3VuZGFyeSA9IGlucHV0 X2J1Zl9wdHI7CiAKIAlmb3IgKDs7KQogCXsKQEAgLTEzMTUsNiArMTMxOSw3IEBAIENvcHlSZWFk TGluZVRleHQoQ29weUZyb21TdGF0ZSBjc3RhdGUsIGJvb2wgaXNfY3N2KQogCQkJaGl0X2VvZiA9 IGNzdGF0ZS0+aW5wdXRfcmVhY2hlZF9lb2Y7CiAJCQlpbnB1dF9idWZfcHRyID0gY3N0YXRlLT5p bnB1dF9idWZfaW5kZXg7CiAJCQljb3B5X2J1Zl9sZW4gPSBjc3RhdGUtPmlucHV0X2J1Zl9sZW47 CisJCQlzaW1kX2JvdW5kYXJ5ID0gaW5wdXRfYnVmX3B0cjsKIAogCQkJLyoKIAkJCSAqIElmIHdl IGFyZSBjb21wbGV0ZWx5IG91dCBvZiBkYXRhLCBicmVhayBvdXQgb2YgdGhlIGxvb3AsCkBAIC0x MzI4LDYgKzEzMzMsMzMgQEAgQ29weVJlYWRMaW5lVGV4dChDb3B5RnJvbVN0YXRlIGNzdGF0ZSwg Ym9vbCBpc19jc3YpCiAJCQluZWVkX2RhdGEgPSBmYWxzZTsKIAkJfQogCisKKyNpZm5kZWYgVVNF X05PX1NJTUQKKworCQlpZiAoaW5wdXRfYnVmX3B0ciA+PSBzaW1kX2JvdW5kYXJ5ICYmICFsYXN0 X3dhc19lc2MgJiYgKGNvcHlfYnVmX2xlbiAtIGlucHV0X2J1Zl9wdHIpID49IHNpemVvZihWZWN0 b3I4KSkKKwkJeworCQkJVmVjdG9yOCBjaHVuazsKKworCQkJdmVjdG9yOF9sb2FkKCZjaHVuaywg KGNvbnN0IHVpbnQ4ICopICZjb3B5X2lucHV0X2J1ZltpbnB1dF9idWZfcHRyXSk7CisKKwkJCWlm ICghKHZlY3RvcjhfaGFzKGNodW5rLCAnXFwnKSB8fAorCQkJCSAgdmVjdG9yOF9oYXMoY2h1bmss ICdccicpIHx8CisJCQkJICB2ZWN0b3I4X2hhcyhjaHVuaywgJ1xuJykgfHwKKwkJCQkgIChpc19j c3YgJiYgdmVjdG9yOF9oYXMoY2h1bmssIHF1b3RlYykpIHx8CisJCQkJICAoaXNfY3N2ICYmIGVz Y2FwZWMgIT0gJ1wwJyAmJiB2ZWN0b3I4X2hhcyhjaHVuaywgZXNjYXBlYykpKSkKKwkJCXsKKwkJ CQlpbnB1dF9idWZfcHRyICs9IHNpemVvZihWZWN0b3I4KTsKKwkJCQlzaW1kX2JvdW5kYXJ5ID0g aW5wdXRfYnVmX3B0cjsKKwkJCQljb250aW51ZTsKKwkJCX0KKwkJCWVsc2UKKwkJCXsKKworCQkJ CXNpbWRfYm91bmRhcnkgPSBpbnB1dF9idWZfcHRyICsgc2l6ZW9mKFZlY3RvcjgpOworCQkJfQor CQl9CisjZW5kaWYKKwogCQkvKiBPSyB0byBmZXRjaCBhIGNoYXJhY3RlciAqLwogCQlwcmV2X3Jh d19wdHIgPSBpbnB1dF9idWZfcHRyOwogCQljID0gY29weV9pbnB1dF9idWZbaW5wdXRfYnVmX3B0 cisrXTsKLS0gCjIuMzQuMQoK --000000000000845b030648ff1b93--