diff --git a/AccordionLattice.ipynb b/AccordionLattice.ipynb
index 18dd416..e46e873 100644
--- a/AccordionLattice.ipynb
+++ b/AccordionLattice.ipynb
@@ -68,7 +68,11 @@
        "    <div style=\"width: 24px; height: 24px; background-color: #e1e1e1; border: 3px solid #9D9D9D; border-radius: 5px; position: absolute;\"> </div>\n",
        "    <div style=\"margin-left: 48px;\">\n",
        "        <h3 style=\"margin-bottom: 0px;\">Client</h3>\n",
+<<<<<<< HEAD
        "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-2c2886f9-32d5-11ee-bbd8-80e82ce2fa8e</p>\n",
+=======
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Client-ec6398b9-3081-11ee-8bf4-80e82ce2fa8e</p>\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "        <table style=\"width: 100%; text-align: left;\">\n",
        "\n",
        "        <tr>\n",
@@ -99,7 +103,11 @@
        "    </div>\n",
        "    <div style=\"margin-left: 48px;\">\n",
        "        <h3 style=\"margin-bottom: 0px; margin-top: 0px;\">LocalCluster</h3>\n",
+<<<<<<< HEAD
        "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">7a54fcd3</p>\n",
+=======
+       "        <p style=\"color: #9D9D9D; margin-bottom: 0px;\">4ce5b94f</p>\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "        <table style=\"width: 100%; text-align: left;\">\n",
        "            <tr>\n",
        "                <td style=\"text-align: left;\">\n",
@@ -136,11 +144,19 @@
        "        <div style=\"width: 24px; height: 24px; background-color: #FFF7E5; border: 3px solid #FF6132; border-radius: 5px; position: absolute;\"> </div>\n",
        "        <div style=\"margin-left: 48px;\">\n",
        "            <h3 style=\"margin-bottom: 0px;\">Scheduler</h3>\n",
+<<<<<<< HEAD
        "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-4dd23fc4-be52-43fe-a3c3-4802764b384a</p>\n",
        "            <table style=\"width: 100%; text-align: left;\">\n",
        "                <tr>\n",
        "                    <td style=\"text-align: left;\">\n",
        "                        <strong>Comm:</strong> tcp://127.0.0.1:57225\n",
+=======
+       "            <p style=\"color: #9D9D9D; margin-bottom: 0px;\">Scheduler-2d9a562e-40d2-429e-8c28-884f969028f1</p>\n",
+       "            <table style=\"width: 100%; text-align: left;\">\n",
+       "                <tr>\n",
+       "                    <td style=\"text-align: left;\">\n",
+       "                        <strong>Comm:</strong> tcp://127.0.0.1:54459\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                    </td>\n",
        "                    <td style=\"text-align: left;\">\n",
        "                        <strong>Workers:</strong> 6\n",
@@ -182,7 +198,11 @@
        "                <table style=\"width: 100%; text-align: left;\">\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Comm: </strong> tcp://127.0.0.1:57251\n",
+=======
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:54486\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Total threads: </strong> 10\n",
@@ -190,7 +210,11 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:57254/status\" target=\"_blank\">http://127.0.0.1:57254/status</a>\n",
+=======
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:54488/status\" target=\"_blank\">http://127.0.0.1:54488/status</a>\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Memory: </strong> 9.31 GiB\n",
@@ -198,13 +222,21 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Nanny: </strong> tcp://127.0.0.1:57228\n",
+=======
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:54462\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\"></td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-_6r7doem\n",
+=======
+       "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-2_6ukeb3\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                    </tr>\n",
        "\n",
@@ -227,7 +259,11 @@
        "                <table style=\"width: 100%; text-align: left;\">\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Comm: </strong> tcp://127.0.0.1:57265\n",
+=======
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:54487\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Total threads: </strong> 10\n",
@@ -235,7 +271,11 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:57266/status\" target=\"_blank\">http://127.0.0.1:57266/status</a>\n",
+=======
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:54489/status\" target=\"_blank\">http://127.0.0.1:54489/status</a>\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Memory: </strong> 9.31 GiB\n",
@@ -243,13 +283,21 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Nanny: </strong> tcp://127.0.0.1:57229\n",
+=======
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:54463\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\"></td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-hh3s2bge\n",
+=======
+       "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-9_dt1qef\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                    </tr>\n",
        "\n",
@@ -272,7 +320,11 @@
        "                <table style=\"width: 100%; text-align: left;\">\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Comm: </strong> tcp://127.0.0.1:57260\n",
+=======
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:54499\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Total threads: </strong> 10\n",
@@ -280,7 +332,11 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:57261/status\" target=\"_blank\">http://127.0.0.1:57261/status</a>\n",
+=======
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:54500/status\" target=\"_blank\">http://127.0.0.1:54500/status</a>\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Memory: </strong> 9.31 GiB\n",
@@ -288,13 +344,21 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Nanny: </strong> tcp://127.0.0.1:57230\n",
+=======
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:54464\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\"></td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-gmfcid6o\n",
+=======
+       "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-hz73j2wk\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                    </tr>\n",
        "\n",
@@ -317,7 +381,11 @@
        "                <table style=\"width: 100%; text-align: left;\">\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Comm: </strong> tcp://127.0.0.1:57256\n",
+=======
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:54492\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Total threads: </strong> 10\n",
@@ -325,7 +393,11 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:57257/status\" target=\"_blank\">http://127.0.0.1:57257/status</a>\n",
+=======
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:54494/status\" target=\"_blank\">http://127.0.0.1:54494/status</a>\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Memory: </strong> 9.31 GiB\n",
@@ -333,13 +405,21 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Nanny: </strong> tcp://127.0.0.1:57231\n",
+=======
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:54465\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\"></td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-sa5yn8q1\n",
+=======
+       "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-mw_4y2aj\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                    </tr>\n",
        "\n",
@@ -362,7 +442,11 @@
        "                <table style=\"width: 100%; text-align: left;\">\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Comm: </strong> tcp://127.0.0.1:57259\n",
+=======
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:54493\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Total threads: </strong> 10\n",
@@ -370,7 +454,11 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:57262/status\" target=\"_blank\">http://127.0.0.1:57262/status</a>\n",
+=======
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:54496/status\" target=\"_blank\">http://127.0.0.1:54496/status</a>\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Memory: </strong> 9.31 GiB\n",
@@ -378,13 +466,21 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Nanny: </strong> tcp://127.0.0.1:57232\n",
+=======
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:54466\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\"></td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-mww3p8n5\n",
+=======
+       "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-31bidd3h\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                    </tr>\n",
        "\n",
@@ -407,7 +503,11 @@
        "                <table style=\"width: 100%; text-align: left;\">\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Comm: </strong> tcp://127.0.0.1:57268\n",
+=======
+       "                            <strong>Comm: </strong> tcp://127.0.0.1:54498\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Total threads: </strong> 10\n",
@@ -415,7 +515,11 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:57269/status\" target=\"_blank\">http://127.0.0.1:57269/status</a>\n",
+=======
+       "                            <strong>Dashboard: </strong> <a href=\"http://127.0.0.1:54502/status\" target=\"_blank\">http://127.0.0.1:54502/status</a>\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\">\n",
        "                            <strong>Memory: </strong> 9.31 GiB\n",
@@ -423,13 +527,21 @@
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Nanny: </strong> tcp://127.0.0.1:57233\n",
+=======
+       "                            <strong>Nanny: </strong> tcp://127.0.0.1:54467\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                        <td style=\"text-align: left;\"></td>\n",
        "                    </tr>\n",
        "                    <tr>\n",
        "                        <td colspan=\"2\" style=\"text-align: left;\">\n",
+<<<<<<< HEAD
        "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-8is2g_53\n",
+=======
+       "                            <strong>Local directory: </strong> C:\\Users\\data\\AppData\\Local\\Temp\\dask-worker-space\\worker-2un23e6e\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                        </td>\n",
        "                    </tr>\n",
        "\n",
@@ -456,7 +568,11 @@
        "</div>"
       ],
       "text/plain": [
+<<<<<<< HEAD
        "<Client: 'tcp://127.0.0.1:57225' processes=6 threads=60, memory=55.88 GiB>"
+=======
+       "<Client: 'tcp://127.0.0.1:54459' processes=6 threads=60, memory=55.88 GiB>"
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
       ]
      },
      "execution_count": 2,
@@ -474,7 +590,11 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+<<<<<<< HEAD
     "# Load Data"
+=======
+    "# Data analyse"
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    ]
   },
   {
@@ -486,7 +606,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 3,
+=======
+   "execution_count": 43,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -858,7 +982,11 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
        "array([0.59 , 0.648, 0.62 , ..., 0.612, 0.576, 0.638])\n",
        "Coordinates:\n",
+<<<<<<< HEAD
        "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4e609384-db11-41b8-beef-35356dec2ca5' class='xr-array-in' type='checkbox' checked><label for='section-4e609384-db11-41b8-beef-35356dec2ca5' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.59 0.648 0.62 0.668 0.638 0.686 ... 0.582 0.544 0.612 0.576 0.638</span></div><div class='xr-array-data'><pre>array([0.59 , 0.648, 0.62 , ..., 0.612, 0.576, 0.638])</pre></div></div></li><li class='xr-section-item'><input id='section-d7ca1459-b2b6-4bc3-8c9a-c3328c0df498' class='xr-section-summary-in' type='checkbox'  checked><label for='section-d7ca1459-b2b6-4bc3-8c9a-c3328c0df498' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-9873c32e-e9d6-48d1-b276-aa8bb8d2aa8f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-9873c32e-e9d6-48d1-b276-aa8bb8d2aa8f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-448db93b-b638-481e-bea7-80bfd1e4701a' class='xr-var-data-in' type='checkbox'><label for='data-448db93b-b638-481e-bea7-80bfd1e4701a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-99b14981-4ae6-409b-81cf-c72e7f58eda8' class='xr-section-summary-in' type='checkbox'  ><label for='section-99b14981-4ae6-409b-81cf-c72e7f58eda8' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-87de408a-cf94-4391-bbe6-b1d8f3e8b1b8' class='xr-index-data-in' type='checkbox'/><label for='index-87de408a-cf94-4391-bbe6-b1d8f3e8b1b8' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                 0.0,                0.002,                0.004,\n",
+=======
+       "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-db068c8d-5378-4161-be8c-25223ab0977a' class='xr-array-in' type='checkbox' checked><label for='section-db068c8d-5378-4161-be8c-25223ab0977a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.59 0.648 0.62 0.668 0.638 0.686 ... 0.582 0.544 0.612 0.576 0.638</span></div><div class='xr-array-data'><pre>array([0.59 , 0.648, 0.62 , ..., 0.612, 0.576, 0.638])</pre></div></div></li><li class='xr-section-item'><input id='section-ea3b5f37-0763-402c-8102-8303f8ae2749' class='xr-section-summary-in' type='checkbox'  checked><label for='section-ea3b5f37-0763-402c-8102-8303f8ae2749' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-44848c06-759f-478f-af81-aeca27efffb1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-44848c06-759f-478f-af81-aeca27efffb1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-265ed888-e9b4-4845-a729-f76ec48ca966' class='xr-var-data-in' type='checkbox'><label for='data-265ed888-e9b4-4845-a729-f76ec48ca966' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a148f922-af11-4e06-b32c-c0b61393675a' class='xr-section-summary-in' type='checkbox'  ><label for='section-a148f922-af11-4e06-b32c-c0b61393675a' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-1c08dff0-88dc-400e-a4af-ba075187b712' class='xr-index-data-in' type='checkbox'/><label for='index-1c08dff0-88dc-400e-a4af-ba075187b712' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                 0.0,                0.002,                0.004,\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                             0.006,                0.008,                 0.01,\n",
        "                             0.012,                0.014,                0.016,\n",
        "              0.018000000000000002,\n",
@@ -867,7 +995,11 @@
        "                             2.386,                2.388,                 2.39,\n",
        "                             2.392,                2.394,                2.396,\n",
        "                             2.398],\n",
+<<<<<<< HEAD
        "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-088333f1-7f47-43e1-b1a5-3036f62fa2ab' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-088333f1-7f47-43e1-b1a5-3036f62fa2ab' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+=======
+       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c8196d6b-df66-4d3c-a231-cddd553fe9ac' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c8196d6b-df66-4d3c-a231-cddd553fe9ac' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
       ],
       "text/plain": [
        "<xarray.DataArray 'CH1' (x: 1200)>\n",
@@ -876,7 +1008,11 @@
        "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
       ]
      },
+<<<<<<< HEAD
      "execution_count": 3,
+=======
+     "execution_count": 43,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -897,7 +1033,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 4,
+=======
+   "execution_count": 44,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -918,16 +1058,422 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 5,
    "metadata": {},
    "outputs": [],
+=======
+   "execution_count": 45,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
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+       "}\n",
+       "\n",
+       ".xr-var-name:hover,\n",
+       ".xr-var-dims:hover,\n",
+       ".xr-var-dtype:hover,\n",
+       ".xr-attrs dt:hover {\n",
+       "  overflow: visible;\n",
+       "  width: auto;\n",
+       "  z-index: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  display: none;\n",
+       "  background-color: var(--xr-background-color) !important;\n",
+       "  padding-bottom: 5px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
+       ".xr-var-data-in:checked ~ .xr-var-data,\n",
+       ".xr-index-data-in:checked ~ .xr-index-data {\n",
+       "  display: block;\n",
+       "}\n",
+       "\n",
+       ".xr-var-data > table {\n",
+       "  float: right;\n",
+       "}\n",
+       "\n",
+       ".xr-var-name span,\n",
+       ".xr-var-data,\n",
+       ".xr-index-name div,\n",
+       ".xr-index-data,\n",
+       ".xr-attrs {\n",
+       "  padding-left: 25px !important;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs,\n",
+       ".xr-var-attrs,\n",
+       ".xr-var-data,\n",
+       ".xr-index-data {\n",
+       "  grid-column: 1 / -1;\n",
+       "}\n",
+       "\n",
+       "dl.xr-attrs {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  display: grid;\n",
+       "  grid-template-columns: 125px auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt,\n",
+       ".xr-attrs dd {\n",
+       "  padding: 0;\n",
+       "  margin: 0;\n",
+       "  float: left;\n",
+       "  padding-right: 10px;\n",
+       "  width: auto;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt {\n",
+       "  font-weight: normal;\n",
+       "  grid-column: 1;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dt:hover span {\n",
+       "  display: inline-block;\n",
+       "  background: var(--xr-background-color);\n",
+       "  padding-right: 10px;\n",
+       "}\n",
+       "\n",
+       ".xr-attrs dd {\n",
+       "  grid-column: 2;\n",
+       "  white-space: pre-wrap;\n",
+       "  word-break: break-all;\n",
+       "}\n",
+       "\n",
+       ".xr-icon-database,\n",
+       ".xr-icon-file-text2,\n",
+       ".xr-no-icon {\n",
+       "  display: inline-block;\n",
+       "  vertical-align: middle;\n",
+       "  width: 1em;\n",
+       "  height: 1.5em !important;\n",
+       "  stroke-width: 0;\n",
+       "  stroke: currentColor;\n",
+       "  fill: currentColor;\n",
+       "}\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (freq_x: 1200)&gt;\n",
+       "array([0.000488  , 0.00151406, 0.00056002, ..., 0.00175156, 0.00056002,\n",
+       "       0.00151406])\n",
+       "Coordinates:\n",
+       "  * freq_x   (freq_x) float64 -250.0 -249.6 -249.2 -248.8 ... 248.8 249.2 249.6</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>freq_x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-2394ec6b-59fb-481a-a50f-3d7c716f57f9' class='xr-array-in' type='checkbox' checked><label for='section-2394ec6b-59fb-481a-a50f-3d7c716f57f9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.000488 0.001514 0.00056 0.001752 ... 0.001752 0.00056 0.001514</span></div><div class='xr-array-data'><pre>array([0.000488  , 0.00151406, 0.00056002, ..., 0.00175156, 0.00056002,\n",
+       "       0.00151406])</pre></div></div></li><li class='xr-section-item'><input id='section-bb350c85-0adb-4596-af84-d7acb72d906c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bb350c85-0adb-4596-af84-d7acb72d906c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>freq_x</span></div><div class='xr-var-dims'>(freq_x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-250.0 -249.6 ... 249.2 249.6</div><input id='attrs-478ca0d8-0bb8-4d2a-9c04-2f49de03d99e' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-478ca0d8-0bb8-4d2a-9c04-2f49de03d99e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-318db49d-0c2a-4d9e-868a-092fd107d055' class='xr-var-data-in' type='checkbox'><label for='data-318db49d-0c2a-4d9e-868a-092fd107d055' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>spacing :</span></dt><dd>0.4166666666666572</dd><dt><span>direct_lag :</span></dt><dd>1.2</dd></dl></div><div class='xr-var-data'><pre>array([-250.      , -249.583333, -249.166667, ...,  248.75    ,  249.166667,\n",
+       "        249.583333])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-70e4cbc5-6249-4f66-a252-33113a5c32dd' class='xr-section-summary-in' type='checkbox'  ><label for='section-70e4cbc5-6249-4f66-a252-33113a5c32dd' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>freq_x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-748f17b7-5c48-4488-9d56-9e85e41ce18c' class='xr-index-data-in' type='checkbox'/><label for='index-748f17b7-5c48-4488-9d56-9e85e41ce18c' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([             -250.0, -249.58333333333334, -249.16666666666669,\n",
+       "                          -248.75, -248.33333333333334, -247.91666666666669,\n",
+       "                           -247.5, -247.08333333333334, -246.66666666666669,\n",
+       "                          -246.25,\n",
+       "              ...\n",
+       "               245.83333333333334,              246.25,  246.66666666666669,\n",
+       "               247.08333333333334,               247.5,  247.91666666666669,\n",
+       "               248.33333333333334,              248.75,  249.16666666666669,\n",
+       "               249.58333333333334],\n",
+       "             dtype=&#x27;float64&#x27;, name=&#x27;freq_x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-f8bbd2cf-dd56-47b4-b5fd-3312a3e49375' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-f8bbd2cf-dd56-47b4-b5fd-3312a3e49375' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+      ],
+      "text/plain": [
+       "<xarray.DataArray (freq_x: 1200)>\n",
+       "array([0.000488  , 0.00151406, 0.00056002, ..., 0.00175156, 0.00056002,\n",
+       "       0.00151406])\n",
+       "Coordinates:\n",
+       "  * freq_x   (freq_x) float64 -250.0 -249.6 -249.2 -248.8 ... 248.8 249.2 249.6"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "source": [
     "dataWithModulationFFT = fft(dataWithModulation)"
    ]
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 6,
+=======
+   "execution_count": 62,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -960,7 +1506,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 7,
+=======
+   "execution_count": 63,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -1332,7 +1882,11 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
        "array([0.59 , 0.74 , 0.75 , ..., 0.744, 0.738, 0.586])\n",
        "Coordinates:\n",
+<<<<<<< HEAD
        "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-7680e346-0162-4c83-a2d5-9a30fce6880a' class='xr-array-in' type='checkbox' checked><label for='section-7680e346-0162-4c83-a2d5-9a30fce6880a' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.59 0.74 0.75 0.576 0.732 0.572 ... 0.746 0.582 0.744 0.738 0.586</span></div><div class='xr-array-data'><pre>array([0.59 , 0.74 , 0.75 , ..., 0.744, 0.738, 0.586])</pre></div></div></li><li class='xr-section-item'><input id='section-3fcc2fce-618e-4869-8c0e-f35309ad01cd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3fcc2fce-618e-4869-8c0e-f35309ad01cd' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-f03e3eda-057e-4edb-98b8-2a6dbaf51e0b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f03e3eda-057e-4edb-98b8-2a6dbaf51e0b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-dd45cba3-3182-4f33-9316-2400146bcb5e' class='xr-var-data-in' type='checkbox'><label for='data-dd45cba3-3182-4f33-9316-2400146bcb5e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-3112e018-847d-4981-aff7-de3573e97961' class='xr-section-summary-in' type='checkbox'  ><label for='section-3112e018-847d-4981-aff7-de3573e97961' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-65d18385-8d57-4d20-82db-0342fe5ea642' class='xr-index-data-in' type='checkbox'/><label for='index-65d18385-8d57-4d20-82db-0342fe5ea642' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                 0.0,                0.002,                0.004,\n",
+=======
+       "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4bf8448b-eda9-4047-9674-7230808d7284' class='xr-array-in' type='checkbox' checked><label for='section-4bf8448b-eda9-4047-9674-7230808d7284' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.59 0.74 0.75 0.576 0.732 0.572 ... 0.746 0.582 0.744 0.738 0.586</span></div><div class='xr-array-data'><pre>array([0.59 , 0.74 , 0.75 , ..., 0.744, 0.738, 0.586])</pre></div></div></li><li class='xr-section-item'><input id='section-20d488f3-0052-4e85-b452-c34bfe7eadbd' class='xr-section-summary-in' type='checkbox'  checked><label for='section-20d488f3-0052-4e85-b452-c34bfe7eadbd' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-659555ca-dee3-4230-a2b9-f71ecbc70f72' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-659555ca-dee3-4230-a2b9-f71ecbc70f72' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f2984b23-0bed-4809-a68e-a05a2544cb59' class='xr-var-data-in' type='checkbox'><label for='data-f2984b23-0bed-4809-a68e-a05a2544cb59' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-be4721fc-aeec-4795-aea8-88413f801b61' class='xr-section-summary-in' type='checkbox'  ><label for='section-be4721fc-aeec-4795-aea8-88413f801b61' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-7db4141f-e13b-4e94-8b83-0e02f0f72f24' class='xr-index-data-in' type='checkbox'/><label for='index-7db4141f-e13b-4e94-8b83-0e02f0f72f24' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                 0.0,                0.002,                0.004,\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                             0.006,                0.008,                 0.01,\n",
        "                             0.012,                0.014,                0.016,\n",
        "              0.018000000000000002,\n",
@@ -1341,7 +1895,11 @@
        "                             2.386,                2.388,                 2.39,\n",
        "                             2.392,                2.394,                2.396,\n",
        "                             2.398],\n",
+<<<<<<< HEAD
        "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0e01d119-0cc8-45af-9d7d-b5fa1024e1d2' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0e01d119-0cc8-45af-9d7d-b5fa1024e1d2' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+=======
+       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-de323332-e8cc-48d4-ad56-10b644e43e2c' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-de323332-e8cc-48d4-ad56-10b644e43e2c' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
       ],
       "text/plain": [
        "<xarray.DataArray 'CH1' (x: 1200)>\n",
@@ -1350,7 +1908,11 @@
        "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
       ]
      },
+<<<<<<< HEAD
      "execution_count": 7,
+=======
+     "execution_count": 63,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1371,12 +1933,20 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 96,
+=======
+   "execution_count": 64,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
      "data": {
+<<<<<<< HEAD
       "image/png": 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",
+=======
+      "image/png": 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",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1386,14 +1956,22 @@
     }
    ],
    "source": [
+<<<<<<< HEAD
     "dataWithoutModulation.plot.errorbar(fmt='o-')\n",
     "plt.xlim([0, 0.15])\n",
+=======
+    "dataWithoutModulation.plot.errorbar()\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
     "plt.show()"
    ]
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 9,
+=======
+   "execution_count": 65,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1402,7 +1980,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 10,
+=======
+   "execution_count": 70,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -1435,7 +2017,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 11,
+=======
+   "execution_count": 71,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -1807,7 +2393,11 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
        "array([-0.0376, -0.0336, -0.0328, ..., -0.0328, -0.0336, -0.0388])\n",
        "Coordinates:\n",
+<<<<<<< HEAD
        "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-c5fd61f4-d0d1-43a2-bd55-26a155fb0509' class='xr-array-in' type='checkbox' checked><label for='section-c5fd61f4-d0d1-43a2-bd55-26a155fb0509' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.0376 -0.0336 -0.0328 -0.0374 ... -0.038 -0.0328 -0.0336 -0.0388</span></div><div class='xr-array-data'><pre>array([-0.0376, -0.0336, -0.0328, ..., -0.0328, -0.0336, -0.0388])</pre></div></div></li><li class='xr-section-item'><input id='section-63b14280-8458-407b-a8a3-ecbc5fcb3777' class='xr-section-summary-in' type='checkbox'  checked><label for='section-63b14280-8458-407b-a8a3-ecbc5fcb3777' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-38b61a1c-0241-4330-9d6f-f67b77f8a72e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38b61a1c-0241-4330-9d6f-f67b77f8a72e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9be23bc5-6702-49a1-aa4f-25ccd3090b64' class='xr-var-data-in' type='checkbox'><label for='data-9be23bc5-6702-49a1-aa4f-25ccd3090b64' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-59288c25-3b34-4870-8910-9dc06839e13d' class='xr-section-summary-in' type='checkbox'  ><label for='section-59288c25-3b34-4870-8910-9dc06839e13d' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-2f6f91ac-4ec6-4912-afcb-d0de5172870e' class='xr-index-data-in' type='checkbox'/><label for='index-2f6f91ac-4ec6-4912-afcb-d0de5172870e' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                 0.0,                0.002,                0.004,\n",
+=======
+       "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-0f807ba5-6397-44cd-947e-701d7d972a71' class='xr-array-in' type='checkbox' checked><label for='section-0f807ba5-6397-44cd-947e-701d7d972a71' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>-0.0376 -0.0336 -0.0328 -0.0374 ... -0.038 -0.0328 -0.0336 -0.0388</span></div><div class='xr-array-data'><pre>array([-0.0376, -0.0336, -0.0328, ..., -0.0328, -0.0336, -0.0388])</pre></div></div></li><li class='xr-section-item'><input id='section-1093047f-4f5b-4e20-b0ff-dddca5f729ba' class='xr-section-summary-in' type='checkbox'  checked><label for='section-1093047f-4f5b-4e20-b0ff-dddca5f729ba' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-52f4e62e-cc49-4165-8cd1-4c0471a80ecf' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-52f4e62e-cc49-4165-8cd1-4c0471a80ecf' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-41327b87-7774-4173-ae3d-42d3502f13dc' class='xr-var-data-in' type='checkbox'><label for='data-41327b87-7774-4173-ae3d-42d3502f13dc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-78bb2883-05e1-4883-8648-af036f6c0241' class='xr-section-summary-in' type='checkbox'  ><label for='section-78bb2883-05e1-4883-8648-af036f6c0241' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-97837d5a-2c90-4d99-b147-ecfbe55f126a' class='xr-index-data-in' type='checkbox'/><label for='index-97837d5a-2c90-4d99-b147-ecfbe55f126a' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                 0.0,                0.002,                0.004,\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                             0.006,                0.008,                 0.01,\n",
        "                             0.012,                0.014,                0.016,\n",
        "              0.018000000000000002,\n",
@@ -1816,7 +2406,11 @@
        "                             2.386,                2.388,                 2.39,\n",
        "                             2.392,                2.394,                2.396,\n",
        "                             2.398],\n",
+<<<<<<< HEAD
        "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8f82ed10-eaa5-491c-ab91-eb8763546c82' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8f82ed10-eaa5-491c-ab91-eb8763546c82' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+=======
+       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-9def89bf-ea90-4ab0-ab38-db6c5bc218ad' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-9def89bf-ea90-4ab0-ab38-db6c5bc218ad' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
       ],
       "text/plain": [
        "<xarray.DataArray 'CH1' (x: 1200)>\n",
@@ -1825,7 +2419,11 @@
        "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
       ]
      },
+<<<<<<< HEAD
      "execution_count": 11,
+=======
+     "execution_count": 71,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1846,7 +2444,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 12,
+=======
+   "execution_count": 72,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -1867,7 +2469,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 13,
+=======
+   "execution_count": 73,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1876,7 +2482,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 14,
+=======
+   "execution_count": 74,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -1909,7 +2519,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 15,
+=======
+   "execution_count": 75,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -2281,7 +2895,11 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
        "array([0.229, 0.242, 0.241, ..., 0.225, 0.225, 0.235])\n",
        "Coordinates:\n",
+<<<<<<< HEAD
        "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-fed49c17-25d2-4f61-8fc8-ea43ba136110' class='xr-array-in' type='checkbox' checked><label for='section-fed49c17-25d2-4f61-8fc8-ea43ba136110' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.229 0.242 0.241 0.227 0.242 0.227 ... 0.237 0.237 0.225 0.225 0.235</span></div><div class='xr-array-data'><pre>array([0.229, 0.242, 0.241, ..., 0.225, 0.225, 0.235])</pre></div></div></li><li class='xr-section-item'><input id='section-394d1508-021c-4e5b-9e2b-c463bdad6b9c' class='xr-section-summary-in' type='checkbox'  checked><label for='section-394d1508-021c-4e5b-9e2b-c463bdad6b9c' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-7cc5cfb7-99e0-42af-a46a-ac7365bd2e56' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7cc5cfb7-99e0-42af-a46a-ac7365bd2e56' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e3fae0d-fa4d-4b9c-a087-2b39bd1c8f75' class='xr-var-data-in' type='checkbox'><label for='data-0e3fae0d-fa4d-4b9c-a087-2b39bd1c8f75' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8ce66af5-f039-44b8-bc13-edcda107f108' class='xr-section-summary-in' type='checkbox'  ><label for='section-8ce66af5-f039-44b8-bc13-edcda107f108' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-4564776c-196b-484f-a73d-70b6e6172ac5' class='xr-index-data-in' type='checkbox'/><label for='index-4564776c-196b-484f-a73d-70b6e6172ac5' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                 0.0,                0.002,                0.004,\n",
+=======
+       "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-055526f4-2973-4768-a6c6-3c93a547fbf9' class='xr-array-in' type='checkbox' checked><label for='section-055526f4-2973-4768-a6c6-3c93a547fbf9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.229 0.242 0.241 0.227 0.242 0.227 ... 0.237 0.237 0.225 0.225 0.235</span></div><div class='xr-array-data'><pre>array([0.229, 0.242, 0.241, ..., 0.225, 0.225, 0.235])</pre></div></div></li><li class='xr-section-item'><input id='section-0d0fd5fe-0250-4834-8a76-06eff12c3d3b' class='xr-section-summary-in' type='checkbox'  checked><label for='section-0d0fd5fe-0250-4834-8a76-06eff12c3d3b' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.002 0.004 ... 2.396 2.398</div><input id='attrs-60b8504c-3941-49cd-baf7-c5381c6fecac' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-60b8504c-3941-49cd-baf7-c5381c6fecac' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b52e88d6-cb8d-4df3-a297-7f1470c31332' class='xr-var-data-in' type='checkbox'><label for='data-b52e88d6-cb8d-4df3-a297-7f1470c31332' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 2.000e-03, 4.000e-03, ..., 2.394e+00, 2.396e+00, 2.398e+00])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e31d16de-0383-44ee-baef-a9e96e818505' class='xr-section-summary-in' type='checkbox'  ><label for='section-e31d16de-0383-44ee-baef-a9e96e818505' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-6fe3cd1a-13fd-40ec-8776-5dbd38fffbd0' class='xr-index-data-in' type='checkbox'/><label for='index-6fe3cd1a-13fd-40ec-8776-5dbd38fffbd0' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                 0.0,                0.002,                0.004,\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                             0.006,                0.008,                 0.01,\n",
        "                             0.012,                0.014,                0.016,\n",
        "              0.018000000000000002,\n",
@@ -2290,7 +2908,11 @@
        "                             2.386,                2.388,                 2.39,\n",
        "                             2.392,                2.394,                2.396,\n",
        "                             2.398],\n",
+<<<<<<< HEAD
        "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ee319873-efff-4587-b1cb-d1543c1737ac' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ee319873-efff-4587-b1cb-d1543c1737ac' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+=======
+       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-8837b0b7-ff18-4370-a550-f87c815c629d' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-8837b0b7-ff18-4370-a550-f87c815c629d' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
       ],
       "text/plain": [
        "<xarray.DataArray 'CH1' (x: 1200)>\n",
@@ -2299,7 +2921,11 @@
        "  * x        (x) float64 0.0 0.002 0.004 0.006 0.008 ... 2.392 2.394 2.396 2.398"
       ]
      },
+<<<<<<< HEAD
      "execution_count": 15,
+=======
+     "execution_count": 75,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2320,7 +2946,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 16,
+=======
+   "execution_count": 76,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -2341,7 +2971,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 17,
+=======
+   "execution_count": 77,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2350,7 +2984,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 18,
+=======
+   "execution_count": 78,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -2376,7 +3014,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 19,
+=======
+   "execution_count": 80,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -2411,7 +3053,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 20,
+=======
+   "execution_count": 81,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -2783,7 +3429,11 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
        "array([0.49 , 0.53 , 0.533, ..., 0.522, 0.498, 0.454])\n",
        "Coordinates:\n",
+<<<<<<< HEAD
        "  * x        (x) float64 0.0 1e-05 2e-05 3e-05 ... 0.01197 0.01198 0.01199</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-d6266851-039b-4026-a86d-1e5e279cd3b9' class='xr-array-in' type='checkbox' checked><label for='section-d6266851-039b-4026-a86d-1e5e279cd3b9' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.49 0.53 0.533 0.491 0.531 0.494 ... 0.506 0.47 0.522 0.498 0.454</span></div><div class='xr-array-data'><pre>array([0.49 , 0.53 , 0.533, ..., 0.522, 0.498, 0.454])</pre></div></div></li><li class='xr-section-item'><input id='section-361a3014-b38d-4f63-8bf1-ea4126b49db2' class='xr-section-summary-in' type='checkbox'  checked><label for='section-361a3014-b38d-4f63-8bf1-ea4126b49db2' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1e-05 2e-05 ... 0.01198 0.01199</div><input id='attrs-69bc8766-12b1-443a-a864-3cd99b8a545c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-69bc8766-12b1-443a-a864-3cd99b8a545c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-52c09b61-03f9-4572-9201-893264612f54' class='xr-var-data-in' type='checkbox'><label for='data-52c09b61-03f9-4572-9201-893264612f54' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 1.000e-05, 2.000e-05, ..., 1.197e-02, 1.198e-02, 1.199e-02])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-7262429f-f3c0-4747-bfc5-8520ce984b1b' class='xr-section-summary-in' type='checkbox'  ><label for='section-7262429f-f3c0-4747-bfc5-8520ce984b1b' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-da77d3db-cf0c-4bba-96b3-411cc2e5e3ba' class='xr-index-data-in' type='checkbox'/><label for='index-da77d3db-cf0c-4bba-96b3-411cc2e5e3ba' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                   0.0,                  1e-05,\n",
+=======
+       "  * x        (x) float64 0.0 1e-05 2e-05 3e-05 ... 0.01197 0.01198 0.01199</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-a71367a6-450d-4122-8fab-9d8d547cc35f' class='xr-array-in' type='checkbox' checked><label for='section-a71367a6-450d-4122-8fab-9d8d547cc35f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.49 0.53 0.533 0.491 0.531 0.494 ... 0.506 0.47 0.522 0.498 0.454</span></div><div class='xr-array-data'><pre>array([0.49 , 0.53 , 0.533, ..., 0.522, 0.498, 0.454])</pre></div></div></li><li class='xr-section-item'><input id='section-05ff6bb6-299f-4be6-a92c-4686374ea568' class='xr-section-summary-in' type='checkbox'  checked><label for='section-05ff6bb6-299f-4be6-a92c-4686374ea568' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1e-05 2e-05 ... 0.01198 0.01199</div><input id='attrs-21974bf2-cd52-4c31-b1c0-1d076fc44fbb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-21974bf2-cd52-4c31-b1c0-1d076fc44fbb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a62b54b0-8af9-4dd4-8cf5-de72d9e35276' class='xr-var-data-in' type='checkbox'><label for='data-a62b54b0-8af9-4dd4-8cf5-de72d9e35276' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 1.000e-05, 2.000e-05, ..., 1.197e-02, 1.198e-02, 1.199e-02])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4a5e1f1b-eff1-4791-9e36-1da07fcf1db2' class='xr-section-summary-in' type='checkbox'  ><label for='section-4a5e1f1b-eff1-4791-9e36-1da07fcf1db2' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-e2270e54-6426-4752-92f7-b0790d2adb40' class='xr-index-data-in' type='checkbox'/><label for='index-e2270e54-6426-4752-92f7-b0790d2adb40' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                   0.0,                  1e-05,\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                               2e-05, 3.0000000000000004e-05,\n",
        "                               4e-05,                  5e-05,\n",
        "               6.000000000000001e-05,  7.000000000000001e-05,\n",
@@ -2794,7 +3444,11 @@
        "                0.011940000000000001,                0.01195,\n",
        "                             0.01196,   0.011970000000000001,\n",
        "                0.011980000000000001,                0.01199],\n",
+<<<<<<< HEAD
        "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-17413ac1-c192-44d6-a931-9cdd8eb27c68' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-17413ac1-c192-44d6-a931-9cdd8eb27c68' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+=======
+       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-c80f2111-696f-4f29-83eb-5ad9124270fc' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-c80f2111-696f-4f29-83eb-5ad9124270fc' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
       ],
       "text/plain": [
        "<xarray.DataArray 'CH1' (x: 1200)>\n",
@@ -2803,7 +3457,11 @@
        "  * x        (x) float64 0.0 1e-05 2e-05 3e-05 ... 0.01197 0.01198 0.01199"
       ]
      },
+<<<<<<< HEAD
      "execution_count": 20,
+=======
+     "execution_count": 81,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2824,12 +3482,20 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 104,
+=======
+   "execution_count": 82,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
      "data": {
+<<<<<<< HEAD
       "image/png": 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",
+=======
+      "image/png": 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fdbQcALD0lO+lU/C0Oy0/s193HZdnaFSkMLh9FkMsi0dLqxSuDGfjft9WgctkC6aqT60SXbnzGDMN7zS0x+Bq6BUFvvKPCNyPHyd7hK0HfNY7ubIYi+5xKwvZ7cdsfpO/h0RUQcpijBOLHafZWFGHartMmG0lcaINiH5UOL3rBq+01SFxFq0Wm38auv63nuaTlhTZk1CxuALcCXgXXNkBPXFzcc+TJWznje92YNwbPwX+b8bLFa198rebD2LMP3/AlgPhfkbyW379ux246vWfgnx35IqRKTu4mFzJWorbtoMlGPPPH5C/yZrVnKzSX1uyHTmPfhn4v5YB7ccdRxXz+2LtPlzy6jL8ccqSqsVD837HfXNXc10biu2hczQG5993n8CYf/6An2WWST0fG2mJccJp/DjZJ/iLlt9yNM1+vLBwMya8s9JpMQKofbzc/9EaPPDx7zZK4+PH7Ucw5p8/YN2eItvLjiZIWYxhnv96c8j0nXOyuJ2bZq3C+r3F+BNDiZBPo/7t681YWXgMH678w1B5arpRjckBbLUG8zvn/Ib1e4tx8+xVtpX5wsItQf8X28El+P93f7Aaa/cU4dFPw2NWhlJcUY15v+7Bf9fsw6GS+pA+vC4aavHirPAP1rIsXjfzZ6zfW4y3l+0MHNPzsRGplkX/rbrBZ9EKXluyA+v2ukcJUvKhPVZWhU9X78X83/bgRLm4K4Me/M/+2lPvwA3v/GxLudEKKYtEADO+uKOzS66njLEqlXXPlbLpyGCfRb4aUtONzLYsauV33OLOned2zNjPVx6PTgm5Ii4a3gdQf25WWNi0FriUVobfsz5l0YBl0cFewV920GroaO+kHETJt1he/07p7ZEag9ItRObnIuEK/CE+GqYlOiyJfSTF+wbNoGlmhc6voroWB4srsH6f+Je/mqJius+ixnmR4kora1BaUYNmWcmGZApFroRV19Zhy4ESZCYnMK81opzI61Y+8OnNUS63WU9NSUY96XlJS1QeKrT0eDcoZ9FoWXTjPSVw+NCGfjAfL6vC73tOmC5LNLkbuAFSFokAIp16VU0dej/9DQBg+7OjEX/KwhHtkfiT4n33OXDat5rXnj9jKfZx7E4iitnbqGo9MpFBqfdT36Cqtg4r/zIMTTJ5FUax1dAT31kZ5KNoJnILiBnWTDlmhfKQ+0XyroaWoycot3waWpKkoAVHbg5OwpqGjpYu6q45vzktQhhKPrTyNiKv/praOvQ6NY4Q7oamoWMUo0qdPHBwWQwFYvUri0dl969UkyxFkbfW1fSUWpu34BCZtvSHjtHyoxJtfnKfRS1FUSlvHktDkGIstwrqfF3kFmKzdBS5LHp2ttEzDa1HKfXjBuUsGldDL9hwwGkRwlDyoZV/XMgfRTnHvvB6icJH7iikLMYolTXhCofIyxVkgVGYrovGlzU5Idx3y25rqs0Lbrmfo1zR0loQoaa4sSyZSju4mE1t8LJZUzGrmRidXjMapzM0udNhjdTwixpkWaTpSctQ+qgQaSHRPjsVqZCyGKOwlEUR5J2vTeO4K0iM92LB+v2605vRD8qDKu88UoZ/LN5m6Q4mvNPQ8sU/aj5uoYTWCSv8jEgbU7QsctyG4r0yDv+44wie+WIj9xZ4blFSInFv8aOllfj74q3Yc9wX/mjT/mL8M39b0DaPLPzP3IhlseBwqeo7tn5vEV79dhsqa4Jl2bivGI98or0Cn4clWw7hPyt2mZKXlcQrLLgK9t2tfxZrd7tnJTehDvksxiiVjE5WpDvlGZDdMjiaSVK8F7e/76yvkNwyNOrv36Oypg47j5Ti71f3sqQ83oG2VLbaOCFeXbtTyzJ0FxTAfP9BJeR1q9V+r5/5M+ok4EhppeI1HhOmskMxmo9RXTE0uR1P5r6P1uCHbUcwb9UeLH/0fIz+xw8AfG3lgZGdFNP5n6G8SYnW38iXv0dNnRRQVEMZ889lAHwW1ruGtg8cv/CVH8QKUuHGd38BAJzZKhu5rbJMy9dsEhQti+yVXte/HR7ORpJiaavYyIEsizFKRTVrGpq/F1WayopGBVEOexpaJAfe0Dl8q6H9FuJfCo+LCCEEr7JYxgjTwkNo7lUMq7fIVKeStDy3oWR1Y7Vr/6UFR8o4JTMHo2+Y3atozZhW/GGbbwvEUCvues4Yg0bu2R87c83uE6rXbTq1XaOVHCg2f8GcmShZFuXY1fpoNttcSFmMUSpqjDkW88Qti8aX1b/AxUnsHux5i5PH9NN69mqnWdPQHGOQrGzjioEvH93ZBLDCsmgUo4s9Qus3EqxAZixwYX0oyrHj8brdn8/IQig/7r7D2IWmoWMUlq+PyEuq6PfEEYblupkrcKikEh9OPgdNucOrOIe8g/541Z7w84ybnrZgs0Je4ccOl1Ti+pk/Y3y/1rhpYFtFOVYUHMXVb67gkFiZbzYexPNfbcIxgUDbSspp6H2XVer7AAmtE5ZlUc+q37ByOK5RvFcTRjCzrO5aCsOqwmMY/+YKxXthKU57T5zEpHdW4sYBbXHt2aeHlykgX1VNHa5+09xtRHXDCJ2jF80PRVkRLy7aonydjI9/2Y23fijAO5P6oXXDVM3rRe6i4HApzn/xO4EUxlFaDR205anGTUxbsBkrdx7D3FvP0VTQ1Yj2WS67cd5MQjhCtcFgfTyLRlnH9x4/iRUFx1BwuCx4q0EXo2klM9gnvfTNVmw5WIKnvtgYOMbqco0qigAw+b1VKDhSZsluBnIHf+06U77AKmWRhyCLuQn5BYXOsWnsUlMUAbal+Kn/bcC2Q6X4y2frNPMP91kMfjYFR0rx2x8nOCS1DzN2cElKUB8u5crJP7/dzpXnw/PXYtuhUjz5+QZ9Qqnw6Kfaz9IM5IYDrb3KAW0l7s3vC7Bm9wl8sVb/QkLCfEhZjFnCX1i9oXPUc1VO5/IZlQBaYorcB+tS1mIjUd3IDdNTekUIHTxYC1zM0BV56kjZimpC+QbSiuwEo8eKptcqzCK0mp1smv6izZiG9u/epFiWgSJOWhCrVmuluFlUy+K+Ku3goqdujMaTdUGXGFWQskjoIljpU5q6M2/abfOBYks7v9o6CSt3HgsKNs6LFdMdkeAHpoZWnSidPVlVi6VbDocdF9nWzkizC97pgy8jNSt9sM+ifsGC9xfXnQ0An0/o+r1FQfKIKJhh5cvusbKmNmyhh6N7Q58SNmg1tE55dmosZLJDObFLAaqorsXy7Uew+xh7Bbgc+X7qcTyWRU7XAD17sxPWQT6LMQq70+HviZQ++kQWNvB22gs3HMTt7/+Krs0z8dWfBvEJKMisHwvx9Bcb0bZxGpY8OCTonNYgL2RZZFzrtNXKLPTKIK+Ty/+1HJsPlIRdY4rPIoeAyj6Lyol5V8G64RkBwH1z12DviZN4ZFRn3DHkDADmLZq6edYqLNt+xJS8zIBXMeFBU1k08IT509rTisa9/lNgF6Y1U0YgOzVR8Vqe7Sclxu/nv9pkVExV3PK+RQtkWYxRjL5IPL5dZn0Fz//Nt6hko4WhKX7ZeQwAe0BwotOJ9K9qvX6eLEURENwBwsATq+Vo1yIE7YlrVkOS5aNHh/aHn3nrh4LAsRqBKb/Q+pWLwFIU3TEdaL37ixssi2ZZceXbdYpYVHnao//Da+ayneoXRnYXGHWQskgEEOns9MZZlFtoeMtz+w4xIt0zq37MmK53w4Cs9z7skl10b+jgAPOmCOAq5NZaI5Y3N7tM+O/KFkXOSFqXtQ0ReETX0+8bxQ1+3NEEKYsxitHpUKWX/43vChhXG0PPFOTuY+V4/qtN2F/EtxWbEgeLK3DVGz+pXyRQcX+ckuugRnBdKwZgraDCAPCfnwq58tp9rBy7jxmoW9F+/FR9HC5R3i0lkLWBMaKGoTTlbzqI15bwrW4NRWmbMx5OKIQ3Mst6JJ8yZN23EqL164YhmzUNysMvhcfMFsUQmrLrqOyCw6V4/qtNqjsROYGLv0FiEvJZjFFYX11ClkXGrNVvfxzHrB8L1ctV+K2GHmXxhrd/RuHRcizbfgRf3qvfz/G2//zKpWTxMn2BL/7aysJj+OzOAQDM8lnUzuWy15arni8qr8Zf/48vhAdzmy6ulP5r9d31/R+v4chb4TiPz6LMWd8v482zV3HlrymXYMLHP1uvsyQ+5IuGDFkWXTysGzUujXtd40PRpLKcVKgveXU5SitrsOlACd676Szh9DwWvKB+37aZBMJMyLJI6KKOMUd3hMPqowc9VrbCo75VfBv28S4+YHctPIqiHsVntUYcOieG38pa/tXmu46qr5IUCyfEf/FvHLE5jUw/KblX6EcWZ1EwpVIcUrNElC9cFbEsiuKG2cDg1eRWCWT9jRrZGUkJ/85Lq3RaUeVlKm3LGTxc8EkpssUnYT2kLMYorNdVZNBm7eASagFkTnXr6LTd3mkYHXtM2R3EHPOkbTI4oUDwFFnLEW1eRNkwEjqHte0hEDI4G/isiNPpsxh6G3a+nqL+y3aG7THUpjnTWnk/Vn4wyLFrt1I3fKREEzQNHaMYfZHqGF+KHCG2dOH2BS6W4ICCbGbfKjKomd2p682uqqYOd875zVRZ5IjKxQpObib+aehfdx3TXPHKw4Z9RQpnzHvAPDuEBJUs+SWQuxfw8TjHbjZBZQldrQ8rd5Oq0dHe7v94DX4uqLdIKsbcDVqNzmkkEJaGsBJSFgldBIUYOfUz1ALIVhjEezO7tnrTi9FBgpVe9I7d8REtoCBaKIVimRqD1NIth4KvV8pHd/li1ytaFk3Srv3K4qR3fxFKpxQ6594PV7OvN/FhiwRnNyrDnJ//UDxndpdk2r7hBvLRY/H79Le9wmlse/fd0SlGDTQNHaOwQ7jwp2dtn8Wj1OnptF2uK1riA+XEPZs5nR6JU0BWTI/p8dXyI98Zxor24H9fWXtx68HofvM86FUW5VgXZ9EGn0XLS7AIXe5HFslC6IKUxVhF430tOFyqutVTUOicU/+G9uOhfUJFdS2+3VxvvamulfBL4TFU1oQvrCipqMavu45DkqSIsSzq3Y7Q6jiLFdW1XCFAeJWZslMO8WqcrK7FqsJjTN9WACg+WR12jCcsDhdKvoai2Zg8MtfW+do7TzupqqlT9CM8Iau70Gcm0gb9ilclh7Io36Um3GdR/f2slST8uP0ICk2Y6hZVFv3vltI0e+GRMuw6ygjEz/nw5W3WSD8g2tYUwyqdyudQSQXW7lFyCzAHpWnrssoa/Lor+N0vkrdZCzXeSPxIjRRoGpoI4H/PSitrcP6L3wEACp67EF5GB83a8EFLqXvuq01476ddgf9PW7AZh0sqMaZHc7x6be+gay99bTkKDpfhlWt6ud53xd9BKU3DsdDSf8285z9/tAZfrz9gWn7XvrWCeVzeT096dyUqquvwxEVdcMugdmHXjvz79/XpTiXs9+xi02S0ErEBqf7iV/K34cOVuzGia1O8NaGvaqq/qPjLDTv1brK4eTb/lHK814PfOVb7bz5QjB93HOXON5QT5dW4dubPSIzzYsNTFyAhTr+NQmk7OTVKK2vw0jdbZUd8z+RkVS2GzFgKANj27OgguXgUaCC4zfrbxV1W+r2eKsQvtxJnPZtvmQx+WD61kgRcO/Nn/L77BJ65rDuuP6cNAGDEy7L3HcCybdpbQhq1ETi5J3k0QpbFGEXtNTokCxjNmm4GQn0Wfb9DX+7QlKEKi/+r/Iu1+8PyLzjs+9r/4vd9EWNZXLTxIHeaoG3gTJUiHF5FkVcJ+p3DYlFR7RtIPlzJ9vuST33ydOoiq34VcxOsaD2DTaiU8jr9cOVuAMA3HO3kk1/3cJUX+syWb+dX6rxeD9c+zit3BlulQ2uF98lU1dYZnvIWtixC2WJ9XGadK68KtgZWVovL6a+X/M2HVK9TS8vLifJwy7yefIxQXcMuzf8BotSGJQlYvIm/ryTcASmLMQo7rI3vII/vFmuaxgqlLiHeq2uVtRm+TU4iGi7IDdMvLBl47sP01dCWV4YLKtsE4iJwxb2oZVEtfJdH5YuN5RqjXVZ0tAteWHFZ5R9YSn2wkgHCbGLscVgOKYsEA+23TD4DUe+zGBpn0fjbmhjn1RVn0VZlUcd9Bt2TCZ2aPIsVBUeR9/kGnKwSG/Cs6Ft5noIE8xZZ+PPjYd2eIvxp7mrFKTFJAjZyBnU3KosT+bPcSwBfKJ28zzegpELBehXmtGhACEHi4kQti8o15AkKmB7q+2lt2CK9aIfOsU9D0lrQpNQHmyGi0W1cCXHIZzFGUVsNzdicJQzWThdW6GeJcV5d+cZ7PWC7gJuPGz5g5YPE1W/6fAozkuPxwMhOuvJgoaWzs9oUj54vSRLXohmjhEr3xH/X4fc9RcjfdAjrp17AvP7CV34IP+6GB24CSla6sf+u3+Iu75JuppZpVJkxY/bCL0FwwPTgayp0WRb1yyRWjjsaIOsDTy6aUvvi3sFF5SuEJx6qO2opeiDLYoyi1t/wvGTylW7KcRaNkxDv0TVAuH0aOngGjKFkmVCG1pZ8ouh5Djy+hhLqtxwzA96xdPOBEsDksvXK4kQBWu/IjsOl7CJD/m/nmyYcf1SletT8hnWtaDbQ4/EqgBKkMP/K4Hx0iyAsi1IcUD9WWhbXWbzSmwiHlEUigL+zk/uUKL3YrLAeVrhAJcR5HVMWuTtwHZ2f+UF9lctISYjjy0PjPrR83Fi+rnyWRaCsik9hMzLOiFpklHejMAdJkhy1Emm9V6oflDrllgykVZNFJM/ApSFbMcrz0DMNbcejlCTt0FW8daEU+kZt2z953kzLouy3omWRs57kzVMuq+J7KUkhYxfZFs2ElMUYRe014nnHglZDQ8LB4gpc8a8fhfPRQm+YDT0hNuRIkoSLXlnGd62uVbMyfykOJesDld0klMvwkZbE523y1Bcb1fNTqdIXFm7mDh300Lzfg/4vSRJKK9QHQI/HF6tNzaoSyM9FE1B5n29gHq+rk3Dpa8sx4Z2VQoPat5uDV5EauVOtDyqleqyrk3CZ7F33zyjwfBi8tGgr+j2bL+Rz9tlq5ZXhtRJw8avLcPPsVYFjt/1nleL1cuTv4AsLt+Cs5/JxqLgCkiThqjd+UknJxkh/x5tUkoASDWXxGoXQVqF0nbIQT3+xEQkhfqBK8T2n/m8Dzv3btzhe5nPw0QovFKewMlH0/Xz1223o/NcFeHvZTmw/VIK+zyxmKrRXv7kCl762XChvgh9SFmMU1gDF9llUHjDk/H3xNtNkk5MQ58w0dFVtHTbuN7a4wQih07dqcfcA9ZXIiZyLAnhCuijx2pIdzOOsxUnzQkJqSODbB/mjX8QV5tByhK5XSCCiFPxUwA5ls+f4SazdU4Qfth3hjukHADfN4lOEeNBUFhXuc9uhUmZ8Rp56mfVjIY6UVuKVfP7+4s8f/a54bsuBYqzfWxwU7H/hhvp2zBKJFepr7i+7cbikEv9aukMxLI0Wdn2kqE3/Hi2rwooC7QD8gO+de3vZzrB2oJT/u8sLsb+oIhArl3Udj8+i6E5JMxZtRU2dhOe/2oQnP9+Ao2Vsb/SfNUI8EcYgZZEIg6fTqw3WKBWmRoLz0aO+Jehe4GJf09ZlUVBxrg89rxd/FnpWkzPz05EN12poCVw9ezTNKiUn1rdPI4t7jNSJlltBwBc55Hioj6ebw6Dy+iw6De9zlDSu1dOWEkL6SiXLYr0MvvNaEQyUfRb1NdqaOimq+oBIg5TFGIX1zvmD7wbpgQovZ6hlkaeT0vOeJ8R5FUN8hLLraFnA4mHnAhddPoumy8AyLaqcs4lQRYK9gpJPvkLGtmwszLAIAsrx4MywIMmt5WWVtVx1YPZz5J2GDi019F13k9IVrugwZlBU0hupY3t8FtULKdFw52ARHxdqWdRQFiX/dSyfxfq0/vYVuliIt5qMfuSSYmkupCzGKowXae4vu7Gi4CjXSybvkyWwFyjofVnlHX5SvJfbcjH4haW49LXl2HO83LDPogi6DItBYRYZi4X0iyPLw/lhPPTZsT4qOA2LgR1QtDBrkHh3eaE5GYUQ7/UEyVhaWYMv14XvYhTK4k3hO4MYUVx5P8JCCVMWdQ3qJlm7g3x/Jc0VulZiaPGVyLUmWxbj4wQti6cE0Kprfx/8yPy1zPREZEHKIhHEioKjXANQ6AtfVikeakIJeSekZzV0weEy3QNhpMKcyfb4/zVvYBbt6EMVVlaYGkmyySojOJz/d81edj4GZQ1dtFVWVYN8hiIYytIt4tvIqaH1QaU8Dc1+152ejpakcAVGktS3YAzLw5AARhLzF6HWjss5owrICasfjRvxn2XplPK69VsW/2/NvrBreNqK0ebkpoVu0QApizGK2ovEMw0tP6wUzkHvqyp3+E+I8wp3Gh6POduC8ae1fjW0Hkyf6oakGlaDKUOIEExlkaOlRJPqnxDnCbpnrZXgahhpt5qhcxSOK01Di8iit32HfviEboRUw5hCVRKLvfhFn1y+/Ax1IvrTylBS5EXQEoW1EJJF6PR2ID1HWsJ9kLIYoxj5upYkCc98uSnw/yOllSg4Eu5P9vxXmwIrWI+XVeFwSSWXbHK/tngvezX0gvX78fhn65hTIR54hHwW3/x+BxbJVgJLkoS/fb2ZO70/jVl8/MvuoBWNR0o56k1B4Swqr8beE9phSjYprPzeerAk6P9frtWeLg2SIeT/zGkyCXhn+U6hfNXYe+IkHv9sXZh/pNojqqiuxeMaK87l+azfqx0UWGmrwMT44G7XSFDwJVsO47FP1wpv7QgAcV7gP6dWtjJRqC8zgpj/cbQcD3z8O7YfKtG+WAV5+6qTJFTXhT/zRRsOBB9T+1AWUPhm/lAQVtYP2w5zp5dzoLgCd3/wG95e5nsP/pm/LZD/qkLZKl8JmLdKOZRQaaW+ldxyvli7T/V8vS+rel3FeT3MdllXJ2HWj4Wachj+YJaA577apHrJoeIKPDjvd+bqfiKYiFMWS0pKkJeXh9zcXKSnpyMrKwv9+vXDiy++iKoqfRu85eXlwePxaP5t376dmX779u146aWXcPHFF6NNmzZISkpCWloaOnbsiJtvvhm//vqrkVu2FUkKCcrN6BC+33YkyK9FaZBdsuUwHpnvO/e0Rgw/OTUhHT5L77v9/d8w5+c/8PGqcD82j4d/gUt5VQ2e+ypYMfyp4Kiwv5qorqi2NfTDIT4+vEoMC63O0s+Yf7JjSl4ui1vmgQf3fbRGTICQHp8V7LhWkoJCn5jBnJ//wFyBUDvvLi8MC8mh9kyV6ksOa6tA4NRKfVneJ3XsFuJn0/5ifLhyN974nh26SA2vx4MDxRWK55WUgdAFC/XuDvxlL9t+BPN/24Nxr4vHMwwuO9hCz1qc8bzCh5+R77u6uuAPZsD3SG94e6Wu/A4WV+KLtfvx9Bcbsb/oJF78Ziue+XITqmrqcKWsjiSoK1onq4z7bIb2h6HwTi7EeTx4K0ShBqzdMUnOrmPlePP78PLlPPjJWnzy6x6Kz8hBRO0NvWvXLgwZMgSFhYUAgNTUVFRWVmLVqlVYtWoV5syZg/z8fDRo0EBX/gkJCWjYsKHi+fj48Opavnw5Bg4cGHQsIyMDlZWV2LZtG7Zt24ZZs2bh8ccfx1NPPaVLLitQ351BPe3xkEG14LD2KtWdnCtZQ8uXIKn63B0qDre6iXyQsqZVd3DcjxyrV0Pz1C/TZxEe7DrGdy9KTu1lOixWwTIEw1phLBp3jZdQS7baczrACBKtvIOL++bQ9nFYj0PR3Otb4TaVVonr4bjOmIYsJEhhu5Iwn5WBvo8jC8PIrXGh8mtOEVsgWdg2rirT0PJ3Js7rZbZLrZA7gXINOp/wxMvccYi9pSURTsRYFmtra3HxxRejsLAQzZs3xzfffIOysjKUl5dj7ty5yMjIwOrVq3HdddfpLuPcc8/FgQMHFP9ycnLC0lRXVyMuLg6XXXYZ5s2bhyNHjqC4uBjl5eVYuXIlBg4ciLq6Ojz99NN4++23DdSAufC5MLvDt0Q4KLfB6YtDKtYWFpKOLjrUImIFTi844JWBZwpfz73oCeZuF5Lif3Tm5+h76o56ZlkW1d1t+P0b+co35yG4oMtVRSmkUihKPotWfByy6t7JlfHRSMQoi7NmzcK6db7puPnz52P48OEAAK/Xi/Hjx+ONN94AAHz99dfIz8+3Ta727dtj06ZN+Oyzz3DllVeiUaNGAIC4uDj069cP+fn56NGjBwDg+eeft00uI4j2eWa/+6GLZ4KmbEOEU7KoGeGgqLIoATMWbRFKY0ecRTfoSuErLcOxanA0qiwqLoxQEVjPynOuBT5aVkDhUrVxu9IChNdL2GpoRhpJ5SS3ZVHMYGka2v7kzgrBWg0dnpxPSKP9F48F0w19ZKQQMcri7NmzAQBDhw5F//79w85fffXVaNu2LQDgvffes02uVq1aoUOHDornExMTcf311wMAduzYgePHj9slmipKX8EeT3gMRb15mYW8z9GKAQYY7wBOMvzq1JAA/HupuM9YcA5W4HxPyKM8WdV+3Bw9SfiDjHOFqpkoTsOHHHZywJWXXSdJzNXQVsC0SppUtBtmc9TwuyGw2ofcrcfWWLeMOgvdQpTVTklZ5CcilMXy8nIsX+5zQB09ejTzGo/Hg1GjRgEAFi1aZJtsPCQnJwd+19aaF4/QCGr9kdNBU+XlSwhWOMI3aAjvuDxwg5qkgckCMi2sLqiE8Bh31g2yoYTG2hRu1xa6B8iVDbcqBy4VK4jQEFSs1dChBHzumDnqv2tbjHoueChqMsg/5pUs+5ZMQzOO0TS0uUSEsrhp0ybUneoEunfvrnid/9yBAwdw7BjfZupyNmzYgO7duyMlJQXp6eno1KkTJk+ejNWrV+sT/BRLly4FADRv3jwwTe1mgqeBff/bdrAE83/dwwz6qj01ImH1Hyf4yw/JUJ726/X7UXQy3HFZnsasINS8hK4O5UEuoWU+i9ZkK0Too2DdqlULXNzss6iHtXuUw/VIkLCfsUjHCJLkWyT06pLgKBChj8tfy7uOlptavhK7FBbL7T5ejsWyEFhWwnxnTXuRlfPRDJhtgzYpAdh9rBzfbQkPEyRX1uO9HvzOaLO8Mm7cV4zf/uCbiQsKL3QKVuisj3/ZHeRm5IZdriKFiFgNvW9ffdynli1bKl4nP7dv3z7Vlc0sjhw5gmPHjiE7OxvFxcXYunUrtm7dirfffht/+ctf8MwzzwjL/tNPP+G///0vAOCWW27RVGQqKytRWVm/irO4mB2rzSiiq6GvfP0nFJ2sxp7jJ9GmUSp3XgCwkxGDkZcjJZVYvKl+APjT3DXofXp2fdkh/wL2W9T2HNezEtVcIa0K7G0Uns7YzNW1ckI2SjHN8mOGuMEr/rWpqK5VX6UvAf2f/9awXCFZYvQ/fuCK86kUp9MKBr+wNPBb3sZH/T08VBF7EYt/NiI8b97dRVhY4jcqqf/fDhnCypCAQdOXMM/J3QCqausMtYtXl2wP+1BRYvybK8KOsXwWH56/Fme1bYiPbwt3ZSPUiQjLYklJfeDW1NRUxevk5+RptOjQoQOmT5+OLVu2oKKiAkePHkVZWRkWLlyIPn36QJIkPPvss3jxxReF5D58+DCuueYa1NXVoUOHDnj44Yc10zz//PPIysoK/LVu3VqoTDMInQYGELDmbTko/vJvMxCeYF9R+GKT3xhWSrnC4QIdSQjrPBbNrQlTtgDWuahAj4Jm1QIXJ9CKTWeJrJLEpSh6PPYqi0Fla12gwzeUqz0qpDUDY7tJmSNDcJ7Bmap93MnPlSjsTGTVx2EoStPQK3fWWyHd8EEdKUSEsmg11113HR566CF07NgRCQkJAHwLU0aOHIlly5ahX79+AHzBu4uKtHduAIDS0lJccskl2LVrFzIyMjBv3jykp6drpnvsscdQVFQU+Nu9OzzotDmoTXXIfpvwXtcJzjMGl6k17XKqDLmyaLADsGMqx+xOimVB8Xicn2bhKd26BS7s+HC8WBln0ex3TE8d6rVSucFvzo+WhV5NqVOzOmrBXg3tfMU4LYNVH356qLJpsVOsEBHKYkZGRuB3ebmyX4z8nDyNEZKTk/Hcc88B8CmAPGF5ysrKcNFFF2HFihVIT0/HV199hZ49e3KVl5SUhMzMzKA/KzASlDvcD009AY+uOG/Vbjw473fU1Nbhk9+Ut7NSQs1n8b2fCvHEf9cxB9QF6w+EHbO7i9Ea6HXvo6svmal4PMA/Fm/Di6dCC+mNbafnmSgtxnzvp0I8/tk63c85dKcXN6DnXrTe893H2H3thyuDd8Yx64Pk1W+3YdoCsW02tWBtufjnj9ao+hnrbRemWRZVzv1UcNR0GeT9C2vbu/Cg3MZu1C5l8ZX8bZrXuKGPjBQiwmexRYsWgd979+4NxC0MZe/evcw0RpGH6ikoUN8+yK8ofv/990hLS8OXX34ZtsOL2wka0DmmDbVe/lqO3uGhT3xb3A1o3yjoJefdsSBIWQy5Zsr/bQAAXJjbHOee0Tjo3MOfrIUTiHRSer/W7V7ow+JkdR1eXrwVADDx3BymnNb5LLLv398etFCS6un/8W9dqZh3kKuH8fvXs0hIq1wzd1fRorKmFjMW+drJhP5t0DwrhXld6BPVauFbDoa7Ix0tq8J/ftqFi3o0DzvnJqspEC6P1t7sRsXn2fZOrQweRdKuaWjCXCLCstilSxd4vT5R169fr3id/1yzZs2EF7eYgV9R/O6775Camoovv/wS5513nu1y8KD+wptbVm0dfwiD42XBAxR3kFzZHSkpSWWVnKuWbejLgnZwsb44x5APHkpBcnkUHX0WkxCLiEk1vUfH1npqODUNbRZmfJNUytqGVavj5Sj5YkrgrUuGhdwVPovWV56asmfVLIFVuOGDOlKICGUxNTUVAwYMAAAsWLCAeY0kSVi4cCEAYOTIkaaWv2JF/Uorf+DvUMrKynDhhRfiu+++Q1paGr766isMHjzYVDnMROl9l6TgzsCIX48fAV1RuCOp91msP6b0+vuPS5IUtP+qE5i+gwuAmtq6IIXMDf1gaGccuh0bwDfA6VH04rweQ4OnYlKVLHnDKImKpTXVa8U0tAhGFbxqWbtNUNgmjomBlctK/oyhwZxF8jQb0XZvxzeDERcm30WmiWIYF3SREUNEKIsAMHHiRADAkiVL8PPPP4ednzdvXmCKeMKECdz5ag0mlZWVePzxxwEAaWlpGDZsWNg1fkXRP/XsdkVRC613+c8f/S50Pc80dCAvwd7Of3VQUG6FHsB//M8frUGXKQuw43D0bCIvSRLOf/E7DH/pu8Axpxe3AMF+g3WShNvf/zXsGqsGGK8HuPuD1WLlGGTDvmLkfc43ze1HgvFBS2t60ko8AB6c97vmdWrIPyLiRL5ydD5TSZKYfU3RySquEETssDvmNDAjAdttURZVz2kL8PB8Z1x/mDjfRUYMEaUs5ubmQpIkjB07NrDQpK6uDvPmzcPkyZMB+HZ4CVXo8vLy4PF44PF4UFhYGHTu+++/x/Dhw/H+++9jz576hRXV1dXIz8/HoEGDAsrplClTkJ2dHZS+vLwcY8aMwffff4/09HR8/fXXrp16lqP6UstdFk3ofERXQweLop6WbVlk9wD+Mei/a3xxO99dvlNXmWYQvN81/7VKVNdK+ONYOf6QLUpwg2VRviJZyZrLU996/Jw8Hg++XGe/EjXrx0LhNC4ytjiCW3bbWLzpENd1bn1edvRdhi2LREQSEQtcACA+Ph6ff/45hg4disLCQgwfPhypqamoq6tDRYUvFl+vXr0wZ84coXwlSUJ+fn5A+UxJSUFaWhqKiopQXe3zn/N6vXj00UeZcRI/+eSTwA4tNTU1GDdunGp5n376Kc4991whGa1A9YUXDk6mflrEsqgbubKoZFnk/Iy0p8Pj1+T0ymO2rmg0zKLSbfC4KeipglALlbCLg0IKU0LnSEr/sQ+zSjXD70vv1K9eeOMpiuZpdj563XKsRM2CGmm6ogu+pyOGiFEWASAnJwdr167FjBkz8Omnn2Lnzp1ISEhAt27dcM011+Cee+5BYmKiUJ65ubmYMWMGfvrpJ6xbtw5HjhzBiRMnkJqaiq5du2LQoEG49dZbkZuby0xfJxvpKioqAoqrElVV7gu7EYp88OabIVS/SsSyKL5jge8CLstTaMgfB3u2I6WV+Gz1HlyU28K6oNwu6Al5ZNh9XHubOF1BuUPmTQ6XVAoFj1bz6zUbJx6Vm6xAcsuiiFh6b8HorTP3ODfpTTay45Udj1TdsuiiRkWYSkQpi4AvfuLUqVMxdepU7jR5eXnIy8tjnmvUqBEeeOAB3fJMmjQJkyZN0p3eKdT9TsylVkBZDFX6eFPyBOV2ge4UxJ8/+h17jmmvrNUdZ9EN2qIMpXHk74u146HpaZMsS/Lof4RvCecEQX5piDyLjNlU1+irAb3KiTU7nZiTz51zfpPl6cIFLmobOkRYQ3ZbH+lmIsZnkTAX1akE+WroUOVNR2cgEkhfOHspPJ2yzyLftKSdHd6SLYc0BwS3TEPrQf4sjMRX06MU8K5MBtiDhpvGPSvGNKd3+5BTVVv/rCJB4WCJ6Aax7bDskc9ibELKIhGG2X4yRqaheeFRRMK2KVaaZrSx27e0JDdoiyahp57KBcIjiQyyZjyzIL+0CB9gzY6zKPL+6Z+Glkzfg9kKRU3cz9Z61Lrz4JXc7m/YUdRFWk7ETUMT1lJbJ+HuD2TTICHn9QwMQqFzQkrU9lkM/aE82ITL7nxnxuVqqXu7P3d1hf/7fZ/+xDoeVXlVDfe1s3/axV0mj1vFUYWgzywkScJnq/dqXxjFsOJvAj4/UyuwQo/ZcVi/r6FZWKGg/fW/63F+5yb1ZXBOQzvfuyqT9/kGpCbGOS1GREHKYoyi1Kd8tX5/UMfNtdWcxnmR6cewBS6cXQ6P8dJdq6FPlWVh3q5wx5HJ8K+lO3Rno8faq7RjjB387Wv1PY7ld7OvSH1RnGWY1PjMaGdBz0om19NfhGytaOIiNSMzCHZZzYTjLFogw7q9RVi3t4irEDcriHL84a3aNU5zVpAIgqahiSBKK/itMbwYibOohb/T5glkGzqouWKWRDI2HaaGBy5RGE3AFc9KAKXt5IDwqa9KAd/KaEUpzuKhEocU6QjF8aDcEfaeumzyxdWQshij8H5Vl1VqK49aX9kiIdT0fLEXlVdzWhZDy1KQQVgC/fCUVXSyWvsiBmYrinpWDpolQnGFeB0YfY5GFuRo4QZ/LrMkMOruUFReHWRZFJFLr3VQsvAjzUxEP7TNihqghvre0GKzUqKI+CHzQLoiP6Qsxii8itKQGUt1Kyt+xLb70xAohLd+2ImeTy3Chz//oZ15qGXRBZMmkqQtx8FifX5bbvNZNMLy7UeF0xgdrGostIi7ATcorADQ86lF+JzXn9UkkSWDWdlVcxPeWSl0vdOroXl8x42wZvcJ0/Mk+CBlkdBk9R/HA7+ZqwA10guthua+MphXl2zXvMadPovWFeaGKWgnZXDDx4ASksJvxevdeyumPONvN9dvsydyr3rrxXB92vQ8gnwFObBDLE5dkYgySFmMURT9+gSu5cXYAhdxjPss2tflWbHtmB8X6IqO4mYFK5qwtZ2ZWJhbLKumYofPImeMXiK6IGUxRhF5pUV2YGGmNxA6x0zcqDydrKrFjzvqp1hfWKi+ilYIjycobydwcircyVnkJVsOq57fvL9EKD8r3gvTfBZNNh8XHCnF3JV/oKa2DisKjpmatx+j9VnC4cvtBF+u2295GapBuTmvIyIPCp1DaKJlGdTqFGoFtnAJ3xtavMdRjrPIt4OLnRSE7AP72hL94WVC2XNMe8/laMbN09B3yWOZuldMR7j2rZ8BANsPlWpea2QamqpdH2rvlfwDLRLqNxJkdAtkWYxRRJQweQdgfVBu9f+bieIinyjpQfY7Fb9PhqN+k1HyHAFr2qRZeVr1iL9Ya52VLIqahu2ob/dn7WpowjlIWYxRRN5joyFEhMI/mNDDKGXhdeFqaCtxwwIXJ4mUp8vTDq24F7fXT+j7ajakzOiDdxra/S2MEIGURUITw8qiiK5oqCR1eJWnaOnizFYWS3X4aTm6GjqKtAGrtr0zg1BXCrNg+UIWmLSlXhQ1DdtRGw++lFmDI6GOY/x7WghSFmMVgRc5yA9FRwdgJM6invKUk4SZFqOaaIqzqIdIGKyAyJHTbuI4TIv6PwiMRlqMXXhrjdp1dEHKYowiMgVrp4UmVC4zS+a2LEZJL+eGaWgnFdZIeYpOyen2dm5l+3X5rbsa3rqLdjefWIOURUITK7c9C8WMopQGwbDt/pTSGxeBcAGkEEQ2Xg5t0cgjPlpaZSB1LMNX6/T+RRekLMYoIi9yncDezkbLstZnMSR0TpT3ZjyDrdU4KYKdHzmRiNtrh2eBi95HvL+oAuPfXKEvcYzD64Me5btlxhykLMYoSu8xa3AX8TkUK41xpSlxFo1dRzoGYSfU3tjw+Czq5but6kHTCWV4++RImIZ2v4TugZRFQhMnfRZNzTvGRmUXGBYdJdaetzAurx6+aWiX30QUwl3j9GiiCtrBJUYRCUhdK5uGtloB2X8iOJC0nv6mplbC73uKwo4v3HAQh2QhSBTrQEeZbiTGdcWoeY5WEQ2K1sFi94YUilb4F7gQ0QQpizGK8pZ44cfk09C6QtkIpPn8930hicXLe3/FLubx178L3kov2jszs/fsjTQZIsew6Iygbq8fK6ehiXpEX1FeX+BIsOxTC+OHpqEJTSLhpZezbm+4VZGF0n1F2v0qEesdYaRYzpxqbm5v5m5YoEXox+XNixCElMUYRWSgqDW4rM3IoKRnwI8WZc8obrAsOgk1A3XcrkyTYTGyofcvuiBlMUYRWQlsWFm0eVAyuho6WnCDruikCBS6Q52FGw46LYIqXtIWXQn3NLTFchD2QsoioYnb4tW5QQkiIgF3tVtCDJqGdifcC1xcNm4QxiBlMVZR2uWE0T8b3Rva0DQ0I61pg0iU92VuMMw4Od5HylgVKXLaTRwpi66EX1m0Vg7CXkhZjFFE3mOj09DlVbW60xYcLgs7ZpYSpGQx3X2s3JwCCEdx62AV6ktaUaP//YhqSFe0hf1FFdoXyeB1KzpQLJYv4W5IWSQ0qZMpi3r8D79ct1932VsOloQd85g0iny9/gDzeOFRUhajAbcv4PDzf2v2aV8Ug7jBMk6Ew2s7+HXXcWsFIWyFlMUYRWg1tME4i2ajNTvlBhkJH7TAhdALxVkkCPdAymKMIuJ87LZBl1yZ+Ih1pTnW7z/SoQUuBOEeSFkkgmBN8QZPQzsPDSKRg5OxHpdsOeRY2YRxYj1OKEG4CVIWYxShBS5um4Z2WgAiIjhWVuW0CIQB4uhFJwjXQMpijKKk9LEWBdS5bR5ag0hZ2EAQhDI0g0AQ7oGURUKT4BAzpIhFCm54UhSYl9ALTUMThHsgZTFGURrCWT6LtXX1vxdvct4PjAYRgoh+aDE0QbgHUhYJTdy23R/BBz02IpKhaWiCcA+kLMYoYqFzIkvriDBxoxp6FIReKM4iQbgHUhYJTYxu90c4Q3FFtdMiGNrqMVqpqavTvoigeKouJZrGA9qtix9SFglNyLIYmazcecxpEVwhg9s4WFzptAgRAfkmu5No2sYvmhRfqyFlMUYR2u6PXiiCIGyG4iwShHsgZTFGEYlFSLoiQRB2QwtcCMI9kLJIaOK2oNyllTVOi0AQhMV8v+2w0yIQBHEKUhZjFKFpaHICJAjCZo6U0naNBOEWSFmMUUj9IwiCIAiCB1IWCYIgCIIgCEVIWYxRRGaW/2/NPusEsYC9J046LQJBEARBRA2kLMYoIquhCYIgCIKIXUhZJAiCIAiCIBQhZTFGoQXOBEEQBEHwQMoiQRAEQRAEoQgpi0QQtGkCQRAEQRBySFmMUSSahyYIgiAIggNSFmMUJV1xf1GFvYIQBEEQBOFqIk5ZLCkpQV5eHnJzc5Geno6srCz069cPL774Iqqq9G0PlZeXB4/Ho/m3fft21Xx27NiB2267DW3btkVycjKaNGmCCy64APPnz9clF0EQBEEQhNPEOy2ACLt27cKQIUNQWFgIAEhNTUVlZSVWrVqFVatWYc6cOcjPz0eDBg105Z+QkICGDRsqno+PV66ur776CuPGjUN5eTkAIDMzE0ePHsWiRYuwaNEi3HjjjXj77bfhcYlTIE1CEwRBEATBQ8RYFmtra3HxxRejsLAQzZs3xzfffIOysjKUl5dj7ty5yMjIwOrVq3HdddfpLuPcc8/FgQMHFP9ycnKY6Xbu3ImrrroK5eXlGDBgALZs2YKioiIUFRVhypQpAIB3330XL7zwgm7ZzIZcFgmCIAiC4CFilMVZs2Zh3bp1AID58+dj+PDhAACv14vx48fjjTfeAAB8/fXXyM/Pt1W2KVOmoKysDM2aNcMXX3yBjh07AgDS09MxdepU3HrrrQCAZ599FsePH7dVNoIgCIIgCCNEjLI4e/ZsAMDQoUPRv3//sPNXX3012rZtCwB47733bJOrrKws4JN4xx13IDs7O+yaxx57DABQXFyM//73v7bJpgZt90cQBEEQBA8RoSyWl5dj+fLlAIDRo0czr/F4PBg1ahQAYNGiRbbJtmzZMpw8eVJVtpycHHTp0sV22dSgaWiCIAiCIHiwTVk8ceIE2rZtizPOOEM47aZNm1BXVwcA6N69u+J1/nMHDhzAsWPHhMvZsGEDunfvjpSUFKSnp6NTp06YPHkyVq9erZhm/fr1gd/dunXTlG3Dhg3CchEEQRAEQTiFbcpibW0tdu3aFVjJLMK+ffsCv1u2bKl4nfycPA0vR44cwaZNmwKrrLdu3YqZM2eiT58+eOKJJ1Rla9CgAVJTUzVl05KrsrISxcXFQX9WQIZFgiAIgiB4iIhp6JKSksBvNYVMfk6eRosOHTpg+vTp2LJlCyoqKnD06FGUlZVh4cKF6NOnDyRJwrPPPosXX3xRUTY1ueTnteR6/vnnkZWVFfhr3bo1930IQfPQBEEQBEFwEBHKotVcd911eOihh9CxY0ckJCQAABITEzFy5EgsW7YM/fr1A+AL3l1UVGSpLI899lgg7E5RURF2795taXkEQRAEQRBqCAXlPv/883UXVF1drTttRkZG4Lc/6DUL+Tl5GiMkJyfjueeew4gRI1BaWor8/HxcccUVYeWoySU/ryVXUlISkpKSDEqtDdkVCYIgCMKHJEmu2TTDjQgpi0uXLoXH44Fk8xRmixYtAr/37t2LHj16MK/bu3cvM41R5KF6CgoKmLIdP34c5eXlitPRftnMlMsINAtNEARBED4kCSBdURkhZTEuLg51dXW44IIL0KxZM6GCKisrMXfuXKE0frp06QKv14u6ujqsX79eMUSNf2Vys2bNVLftMxP56uwNGzYEpqyVZFNbMU0QBEEQhP2Q/UQdIWWxc+fO2LhxI8aNG4ebbrpJqKCjR4/qVhZTU1MxYMAA/PDDD1iwYAEeeuihsGskScLChQsBACNHjtRVjhIrVqwI/PYH/vYzcOBApKSk4OTJk1iwYAFTWdy1axc2bdpkiWx6oaDcBEEQBOHDN2NKpkUlhBa49OnTBwDw66+/WiKMGhMnTgQALFmyBD///HPY+Xnz5gWmiCdMmMCdr9aUemVlJR5//HEAQFpaGoYNGxZ0Pi0tDWPHjgUA/Pvf/2YugJk2bRoAn7/iZZddxi2bldA0NEEQBEH4qKMxURUhZbF3796QJEk1SLVVTJw4Ebm5uZAkCWPHjg3s/1xXV4d58+Zh8uTJAHy7qIQqdHl5efB4PPB4PGFxHr///nsMHz4c77//Pvbs2RM4Xl1djfz8fAwaNCignE6ZMoW5nd9TTz2FtLQ07N+/HxdffDG2bdsGwLcV4FNPPYXXX38dAPDEE0+gQYMGptQHQRAEQRCEHQhNQ/fu3RsAsHbtWuGVQ8nJyZgwYYLu1Ubx8fH4/PPPMXToUBQWFmL48OFITU1FXV0dKioqAAC9evXCnDlzhPKVJAn5+fkB5TMlJQVpaWkoKioKrOD2er149NFH8fDDDzPzaNu2LT7++GOMGzcOP/zwAzp27IisrCyUlpaitrYWADBp0iTm9LlT0EcUQRAEQfgg1yx1hJTFgQMHBrbdEyUtLQ2zZs3SldZPTk4O1q5dixkzZuDTTz/Fzp07kZCQgG7duuGaa67BPffcg8TERKE8c3NzMWPGDPz0009Yt24djhw5ghMnTiA1NRVdu3bFoEGDcOuttyI3N1c1nwsvvBBr167FtGnT8M0332Dfvn3Izs5G7969cdtttwWmqt0CTUMTBEEQBMGDR7I7Dg4hRHFxMbKyslBUVITMzEzT8v3b15vx+nc7TMuPIAiCICKVzU+PQnJCnKl5WjV+OwHt4BKjkMmdIAiCIAgeSFmMVUhXJAiCIAiCA1IWCYIgCIKIacghTx3b9ob24/F4AiuPCeeg94IgCIIgCB5M2xvaHxJHab2MPx1t1O0OaF0TQRAEQfggP351hJTF8847T1HZ+/HHH1FTU4PBgwebIhhBEARBEIQdkP1EHWHLohLNmzfHoUOHsGTJEqMyETZALwZBEARBEDzQAheCIAiCIGIasp+oQ8pijEIvBkEQBEEQPJCyGKPQNDRBEARB+KBFn+qQskgQBEEQRExDqqI6pCzGKBQmgCAIgiAIHkhZjFHI4k4QBEEQPmhMVIeURYIgCIIgCEIRoTiL7733nuK5kydPAgD+85//aDqKTpgwQaRYgiAIgiAI6yDLoipCyuKkSZM0t+ubNGmS6nmPx0PKoguglV8EQRAE4YP8+NURUhYBUjIIgiAIgiBiCSFlcefOnVbJQdgMqfwEQRAE4YPsYOoIKYtt2rSxSg7CZujFIAiCIAiCB+Fp6JqaGpSXlwMAMjMzudIUFxcDANLS0hAXFydaJEEQBEEQhGWQ/UQd4dA5V199NRo0aKC5kEXOTTfdJJyGsBZy5iUIgiAIH7QeQx0hZXHDhg349NNPkZmZiXfeeYc73VtvvYXMzEx8+OGH2LZtm7CQhPnQe0EQBEEQBA9CyuKcOXMAAHfeeSeys7O50zVo0AD33HMP6urq8P777wsJSBAEQRAEYSVkP1FHSFn84Ycf4PF4MHbsWOGCrrjiCgDA0qVLhdMS5kMvBkEQBEEQPAgpi1u3boXX60WvXr2EC+rRowe8Xi82b94snJYwH5qGJgiCIAgfNCaqI6QsnjhxAtnZ2Zq7uDAL8nqRnZ2NoqIi4bSEdZzdtqHTIhAEQRAxzEU9mjstAi361EAodE5qaipKSkp0F1ZaWoqUlBTd6QnzuH1wO1zZpxWaZyVj5g878c5yCrguwk+PnY8VBUfx549+V73uy3sHIjHOize+L8Anv+6xSbrYYfH950GSgLaN0/D9tsO4adYqp0VyLQPaN8Ly7UedFiPm+Omx83GsrAqJcV6kJsXjeFkVxvxzma0yvDWhL1o1SMGuo+W4/f1fbS1biz8N64A/DeuAL9fud1oUQgUhZbFJkybYvn07duzYgTPOOEOooB07dqCqqooCe7uENo3S0KZRGgCgRXayw9JEHs2zUtCtRZbmdf5r2jRMtVqkmKR9k4z636dlqFxJnN4wFctByqLdNM9KQfOseiNJs0z7+9vOzTLQumEqTpRX2162Fu1OS4PXKz5baTpkWFRFaBr6nHPOAQB8+umnwgXNnz8fAHD22WcLpyUINyLSvenw3CAEoTomCIKwBiFlccyYMZAkCS+88AL27+c3Ge/btw8zZsyAx+PBmDFjhIUkCDdxTjvy83QDL4/v6bQIEcPA9o0h9nljnDdv6GNreZGCk9805JenDNWMOkLK4tixY9GhQwccPXoUF1xwAXbs2KGZZvv27Rg1ahSOHDmC9u3bY9y4cbqFJQg38OjoLgDELFl6FoUR6lzeq5XTIkQMD4zsaHuZZ7bOtr3MSIC6AndCq6HVEVIWvV4vZs+ejcTERGzYsAE9evTAbbfdhq+//hoHDhxAVVUVqqqqcODAAXz99de49dZbceaZZ2L9+vVISkrCrFmzaNAkIh5qwUSkcbS0yn4lhV4U90EKEaEToQUugM9v8eOPP8YNN9yA4uJizJw5EzNnzlS8XpIkpKen4z//+Q/69+9vSFiCcAPpyf7XhkZDN0Hfoco0Sk90WoSYpH2T9LBjThhMMpKFh/qYg6bo1RGyLPq5+OKLsWrVKowbNw4ejweSJDH/PB4Pxo0bh19//RWXXnqp2bIThO1Mv7IHzjgtfACINAa2b4x/XH2m02IoMq5PK9w9tD0GdzzNaVEinruHtkev0xvYXq6HPqbwwWTnF3Q2SE1Adip9LBDG0P250b59e3z00Uc4dOgQlixZgg0bNuDo0aOQJAmNGzdGt27dMHToUDRp0sRMeQnCUa7q2zrwW8xn0QJhDPDCuB5onpWCP81d47QoTF4Y51u88u+lO/Dd1sNcacjFhc3YPj7fTqod+2mS4XxYsmFdmjotQkRAPovqGLZNN2nSBOPHjzdDFoIgbCIarT7Rd0eRDenu7oP0IWWobtTRNQ1NELHIFb1aBv1faywc3b2Z7FoaOXnp1iIz8Jv8iIzjD7pPypu99GilHbTfbnJdKNOA9o2dFoHggJRFguDgvuEd8OJVYnH9/nVdb4ukMR5j0M2Kw6d3nqt5zX3DO4Qdc/M9OcEHk8/GhqkXICk+zpHyo/Fx3DSgLfe1n905wEJJ9JGZnIBrzz7daTECNE5PQuP0JKfFAOBbjEsoQ8oiQXDQNDM5zCdOy0dOft5sRSYzOcHcDF1C4/TEIOVGqf92SgGKJDKTE5CWVO9pZLd1Oxp9SBPi+e8pzg1b2DHISHLPyuhMWqUdMZCySBAcpCa6SzkxOg57I2QgVxpM0hnHaaqfsJqslMj7SMsOldmlr4nTXRIZFtUhZZEgOLgot3nYMbW+7aNbz+G+VpSHR3UypBhd3a81GkdI3L1xstXncq7qS7u3aJEYH9y92zkYvzy+p1t1El3EeT2YfmUPTDo3x2lRwnhJwz3mnmHhLhuuwcP8SbgQUhYJQoOmmUmIjwt/VZQG38K/XYSz2zXiulYPdw5przttj1ZZ+NvYHqZNEZ6VY+0+2ckJcUhOCK77pHgvcxraScvEn1w4ICc7NFU/eVDbqNuKccdzF+Kqvq2RmhiPEV3dE4qm8G8X4Yre6nUdag11ygLftw0j1qfMmheNbgvRBCmLBGEDpk/7Ur8ahpNV4sZxLlTJtn23PxfWiRnQdGV0Qs9VHVIWCUIn0eoj17GpwA41NlRBJNSzG33ZnFoERIOu/YS6HPg5p1245d+tSrxLxSJOQcoiQdiA2VMsVnasH0w+R/siG+Twwx1r0YHRZnzf1pg+tocrY8UlhVoWbdYSIkHJjxb+d/dA5vE3ru8bdsypp+JWJdUPxXRVh9atE4RORDo/PVE0UhLicLK6VjyhQUTinrl9ALCayee1Q/sm6dhxuNRpUcJIUrA2WU2stwknaJLBfmezUt1j8db6eHC63ZBFXB2yLBKEDejpB9U6T3IGD8cZS5Z7Rxin2khg0KUmahuRvE+9H7JEuxtSFgnTuTxkWzzCvIGbuaJQgHiTAwUnJ7gr/qSV3DnkDMVzNMxFL09f2s1pETSJCEXL5SK697PPHZCySJjKDw8PxbOXd3daDNdhlo72r+t9WwjqzS7N5N0bTnPJVl2A9RaT+4Z3ZJVqbaEmYrdFya0WLBGaZyXjhv45puf71zFdTc+TF7MVy345DTCqWzPjGUVBe4lmSFkkTCU5IS4yvnJNQGgwNGnk9Net3uzSEs1VFlnxJ6MVdp1Lp87FRpsXIRpqxKqdm+LMrhyHKzuFo560RHS6vdDe0OrETk9PEA7idEfox2zLoptwSx27Fbs+4hqkRcbuQLGKFd81pykssNGiRXZK4LdZcundb5pURXVIWSTMD+sSI6O2SL2ZHZRb78CfnmSepeTf1/U2lP7KPubu8mGlde+hCzqp1rjbmvw/rj7TsbJvGtAWgPusrR2aCMQPjTCcruq7z9feVYol4wvjepguy1sTwsMFEcYhZZEgdOLALLRhUk20LI7ObQ693+Mts1PQvUWmabKYyaAO4TETLz2zhQOSKDNeYc9sP5eeGb7IzK42yDMlqYcLuvFvsxe6ew0A9LV4a0q3kaKw+MyKZpCZnIAerbKE0zXPklkWTZKsbeM0XeloFlodUhYJwgZMd1HSmWE6TUPrz98tGj8AbwT03Oa75RnL0UWPz3RYt+Y2lxO3x1kk1ImALieYkpIS5OXlITc3F+np6cjKykK/fv3w4osvoqqqytSybr/9dng8Hng8HuTk5KheW1NTg7fffhsjRoxAkyZNkJCQgIyMDOTm5uJPf/oTduzYYapshH2M6cG2KrE6tzQFq4pZ09BpBqeR+7nIusJSvpTq2k70KIV2D3QdmmTYW6ALEPGLYykmdj6ibJuDYbPa7Ng+CiHMLGqsWrm2t8sNQPftkWlRjYhSFnft2oUePXpg6tSpWL9+PSRJQmVlJVatWoUHH3wQ55xzDo4fP25KWUuXLsWbb77Jde3x48cxcOBA3HLLLVi8eDEOHz6MlJQUVFRUYP369XjllVfQrVs3zJs3zxTZ3I5aX9Q4PYk5zedmHh7Vifvabx8cwj5hQv982+B2SD21mllPdo+M6oyz2qoriy+P76kjZ32w2smjozubmp8ekhV2PtGbfbvT9E2LAewpcQDo3ExcWdSS3+9rqERGyMKBto3TVKfDzdRJGqUloqHBhTPmyROsVLx/89lhVyy67zyzCtNFVkoC7h/BCvVkHVqqlpayKPp4ujQ3142FpqHViRhlsba2FhdffDEKCwvRvHlzfPPNNygrK0N5eTnmzp2LjIwMrF69Gtddd53hssrLy3HLLbcgPj4efftqO8ved999+PnnnwEAeXl5OHLkCIqLi1FRUYGlS5eiW7duqKysxMSJE7F3717D8kUygzo0xpgezZ0WgxuvB0iKV/L9Ce/emmYmK1xrnN6nGwvIPbTzaZrX5DRiKzZjeystRom+IN9JOmRQm2Jrq1CnPLAG2E5NM0w3k2UkxaObhg9paBiZC3ObId70GDBs+uU0NLxLiVWrwU9vmBp2rIlCP2AVoXd2UY/mKv2W/XRtnqn5/EQt+kM7hfdnHk+EBCiPQCJGWZw1axbWrVsHAJg/fz6GDx8OAPB6vRg/fjzeeOMNAMDXX3+N/Px8Q2U9/vjj2LFjBx5++GF066Yevb+yshIfffQRAGDixIl48skn0ahRIwBAXFwcBg8ejP/7v/8DAJw8eRJffPGFIdkiAU3flBh8mc1eDW13FVoxc+U2nzY/ipZFndkbqTulezK9PUFbTubUrtqWlA6+56ySrXIVcKOvnZqVzI3yAub0B8nxcbrvjwyL6kSMsjh79mwAwNChQ9G/f/+w81dffTXatvVNo7z33nu6y1mxYgVeeeUVdOzYEU888YTm9cePH0dlZSUAKFohzzjjDDRs6Jv+Ky0t1S1b1ODSzopFnMrWK3bvx2o0izNO0/YZUuowQ6vhLxfqny42ymvXKoTsMWsammFZlK/alNPmlNXQTkXk6cu6m/4K/eOaMzksPyYXKoBRi1FqYpyu1M9enqu7TKuRh0dy8tk8fhHfbjRmi8j6YEpirIIHfJZNwhgRoSyWl5dj+fLlAIDRo0czr/F4PBg1ahQAYNGiRbrKqaysxE033QRJkvDGG28gOVl7KqFp06ZIS/MNGKtWrWJes2PHDhw7dgyAskIZTWhbKCKHZIWpHFFMURZlmYgOnKO6NUOCgd1WQsu79Tz/PskGvsd1VsrwrvwhVPSQFGJZvKJ3S8R5PWHTZBflNuesU/0Pn/WtclbbhvCavMf3+Z2165Q1OKu1QzMVGFF/stBnNXOieL+bnODFOe0aCaezC1Z4JB7Mtvie2TrbnIwExUpkzAAkxXvDsrnn/PZcYX3IZ1GdiFAWN23ahLq6OgBA9+7K+w77zx04cCCgnInw1FNPYdOmTbj55psxZMgQrjQejwe33XYbAJ/1c+rUqTh69CgAn5/ld999h0svvRQAcOWVV2Lw4MHCckUaWu+8FVNoVqH0pQqI9W2mB+UWzC6O07dM6apIeGSmLXAJsSzGKyhmvAqboWlohcQm64q+slz+GWd0Ol/UJ87Ix5XduP3ZATC9E2E9H5afZkKcl6toiSaiVYmIt2Hfvn2B3y1bKn9Nyc/J0/CwevVqTJ8+HU2bNsX06dOF0j777LOYMGECAN8Cl8aNGyMrKwvJyckYMmQITp48iWnTpmHu3LmaeVVWVqK4uDjoL9qIBMXDj5KTuBPYUW1K3WUk+CyaRWhAZyctDip2OxulOFUia9GISx+inWK5tQ6UcKu8omIlMD6Ak+K9roqHGk1EhLJYUlIS+J2aGr7yjHVOnkaLmpoa3HTTTaipqcErr7yCBg3EVp0mJydj5syZeOGFF5CQ4IuvVVxcjJqaGgC+afRjx44FfBvVeP7555GVlRX4a91afacGN6L1skaLZTG0d2vVgO3XBpgf0NkBVcH8HF265kfPimzLmrRCvpZYFk32WXTT85UguVZJMoNIuDctEUX7SNY0tPK7q503TUOrExHKotX87W9/w5o1azBmzBhcddVVwul37tyJPn364KGHHsLYsWOxatUqlJSU4I8//sCsWbPg8Xgwbdo0nHfeeZoLXB577DEUFRUF/nbv3q33tlxLJHRsfhIFpqImnZujeM6Mwd1QvXF2hEodZiQ9M6OE+iwavXcjyZU+rJywnjgd6FrolllWUIukjTRLllXSailbZlcTaxo6keGzSJhDRCiLGRn1AWjLy8sVr5Ofk6dRY+PGjXj66aeRnp6Of/3rX8Ky1dbW4tJLL8W6deswYcIEfPjhh+jTpw/S09PRunVrTJw4Efn5+UhKSsKvv/6KadOmqeaXlJSEzMzMoD+rMT+Eicb5COpc1WLuiQw+ZgxU8mqzuw6tKM3swdusOgl95jwWB6ueh1KuVlgWtRC2LMZI6Bw9kBErHNHnw/ZZ1B/2iiyL6kSEstiiRf0WYGpBreXn5GnUuOuuu1BVVYXHH38cDRo0QGlpadCffypZkqTAserq6kD6RYsWBeI/Pvjgg8wyunTpgosuugiAL0ZktDBCx6rUIZ1Oi6gvP6WYe4AToXMMefjzXaY47Wn9U2vdUHkanwezJNSzulOtbGMLXJTKU860XWP9QcBVZQn5/zntGtn60SJS1uju4YH/bfYUsBUr+qJzzzB3JXhom+3UNCPkvBgsn8WLejQ3EGeRtEU1IkJZ7NKlC7xen6jr169XvM5/rlmzZoG4hlrs3LkTgG/6NyMjI+xvzpw5AIA//vgjcOy1114LpN+4cWPg9xlnnAElOnToEFReNPD8FewYZGov6yU9W0SYz6I5C1zMsATJfXSEq9CF09CheX5+10DzC9FBx6biW+mptWkjSr5SWrXn8emd5+orS+Mhh54f1EF9RyAnX/Przjk97JhZ8oS+I+7szowpPjMn9MXrN/QxSRY2H98WHC9Z2GcxxLI4sH1jXNPv9MhYGR6BRISymJqaigEDBgAAFixYwLxGkiQsXLgQADBy5EjbZPMrsYBv72olDh48CIB/ejwSSNG1EMDj0s6VjdK0BiD6JWz8pp0M5WHHI2vggr1/z9C5j7Pdu4OolZedaqweFWWxJFdrCFPeo9xoJOQSw9FYm2cnIz0xXvO64HzFzmelJgjlH0pofzik02mG4o/SNLQ6EaEsAr6t9ABgyZIlgX2Y5cybNw8FBQUAEAhjw0NhYSEkSVL885fbpk2bwLH77rsvkL537/rdJP79738zyzhw4AA+++wzAGDuPhOpKA9kGhYKC2SxCjVlUQQzlIkgy6Lx7ISwYroxUtoBzxhimbKocNyS7f50XKC+3Z9zsMP8CErEqTyQJcuHUWVLeBpaqW+mx2EJEaUs5ubmQpIkjB07NrD/c11dHebNm4fJkycD8O3wMmzYsKC0eXl5pyxaHhQWFpoq16BBg9CzZ08AwKuvvor7778/EOOxoqICCxYswHnnnYeioiJ4PB7cf//9ppbvNhqna1s1ImmByyOjlLe1E7kPMwZ3lo+O2SjtdKC27aGc0BiFSrxyzZm8InHj5KCt9ny7t9S/SG2gwlSvnvZkZCy/5/z2XLX7to6dUnh4ZHRnYwq5R1yH4A1k7wTXnh08zW6HmwiLaWP5tkOcNrYHx8JHrqwCiESqIIwTMbUdHx+Pzz//HDk5Odi7dy+GDx+OtLQ0pKWl4aqrrkJxcTF69eoV8DG0C6/Xi/nz56Ndu3aQJAkvv/wyWrZsiYyMDKSlpWH06NHYtm0b4uLi8Pe//z2qdnAJHZyvP+d0LgVKT8fWL6eBeCKDTB/bA60bKsf1DEXty9qMvjzJiM8iBwPbN1ac6uZ1ObjhnDZc1/Vp0zCi3BG0UFLehnQ6DfE6B7WerbIUlW+7lYM/DevAfLdD+4BhXeoXvZn5UdhWcNFO2IeDBOGXUGmrz9DbCv3/05d208zbaM08coH+vdnNbDvj+4X7hobSIisZua2yLAidI+7PqwZNQ6sTMcoiAOTk5GDt2rWYMmUKunfvDo/Hg4SEBPTp0wczZszAihUrhANqm8EZZ5yBtWvX4uWXX8aQIUPQuHFjVFRUIDk5GZ07d8Ztt92G3377Dffee6/tstkJr2UnUha4aPrgmJgXD8GKnAXTkCpZpiTyKYsiCoL5oXNMzU4IJcOrEZG8Xo9iHTkSOsfi67XzE/HLM5YeUA7Ib4ZSYbZeYkVzMEvZ589HrLxI2o4xGhDzYHUBGRkZmDp1KqZOncqdJi8vD3l5ebrKmzVrFmbNmqV5XVpaGu67774gf8ZoR+sLWzGd+aK4ArX7N0NBZu1YYBe8vpuR/mw7NAlfgKa0M09r2XG1AVFvnUiSWpuywmdR5R4UFqZFyHcfAHFZXd3mw/pe5z7SzCpX9PlkKyyQCc2maWYSDhRXaOZHoXPUIdWc0AUrbA7vF7c3Qlqd1u2ELbhUSyDYEf7zml5hx+Q+OnYP0vEyU9Ztg9spXyhkbtUvj1U8c3n3sGO3nccOiXX3+e0Dv62y9CnHvbSvrMB50fX/JstoNJagqDg8+8LPv0NfmKJYZ2zvVmHHRJ9Pm0Z8rglje7dyY1cTcUTIsE24jYHtG+tOG4urB7XuuGPT9KD/n8dY2KC4+s9mLu6hHPDe0V07DBY96dwcNE5PCjo2uONpzCn4wR1PQ6ostIhqnEW9PlRQi7Nobz17YI4C5iRWWBb7tGngSCWEzeoYSGsbsnIv68W3aYYSo7o1Uy5GdoM3D2zL7TNMPovquGP0IRxFT+fh8ejvdNw6dWXldmamTEPH6Q+dY3SKxS2hc3hXZduNeggZ/TIrWeEtsSyqndPVR5jskyp0bfDVaoq3Esmci7rc+PFrVPGxWnFi7jNuUjXqdvswp/iohZRFQhesgeD8zk10p3UDoVL10tr2LSTB2e2Udw0SvmXG9ZEQKsLqR6umLLo1dI4RQu+p9+nZppfXNDNJ+yKFMu0cYI3esnBoFpdY8lmE3orQFL2pktSj9UGqVa7R95el4LpzpIlM3Ps2EK5H/nK3zE7BkE7q23/5calxKEyJ7SCw7VvfNg3Qo1W2ct4m+HvJdyewfRrSw/4ddp1QnvVXTx/bgytNgksbj2qdGBA5NO1/bj5b9fqHR3USLuPzuwcyywqWw107L4VuFReKGbJyL3BxUb1EClYultIfOodsi2qQskjoIvR97NOmAbcC48ZpGyD4npRWwAZdL0ugpiiGXssumzEtoymB+9Br4VCrb3kfrmpZtLHCQsuyyrIYertpST4/SaVtzVpk8dWjnIxk/UEx7Gyj8nfktAx1ayhLLlFZeaehQ3FC5RBaDe1Qx+LWGSWCD1IWCV0Y8Vl0qXHIVAtQ2HnR/KA+6AjnZ7Cj9gT9dm4q2C2x1UIVLyVl0ZASKSlHklbKVZdvYSA39cRuio+qSxJB+fl9Ft2HGxUzj8JvPahF1JD3QSKKO9kV1XFHz0vEBDMnnNoKzH39GJ6/Ijeok+Hpa4VuQ3TxTIgAV/VtFXJeLL9HVbYt1OKRUZ0tMUd4dIwe8SpbsDnZrJQ+gKZc3JV74H55fM+wY8qhc9gnrJxJc1r/MBI656y2DYXbx5+HdxBMcapsXanUGdOjudD1fxqmLDvPB12X5tpbVHZrEXyN0IciaxqaPzUeG91F4Go+aBZaHVIWCV0o7y2hzPCuTQNp3cY1Z50e1FuZ3XEYDUg7/cpwRUIEkW0L5TTJSMIdQ4LjDFrhn8fbJuJVTApOWlOUyuaNBQcAl/cKjz2npBSaeav+vJTy9PtBsk47Nb6K3P9jozsjIc4rlOb16/ugSWYypyzBGVtRJ2P7BLcNtTIu6NYUzbL4ZGcxomtTrqgDeZcEb2uoucBFa/aF8wE9f0Wuan/m9EdNtELKIqEL3zS0vrfSrdPQoljpJ6TlbG2Xwh1QJBjHmNfryFsENcuiWzEisZnTzYaJqFE4fJbArHfGEZ9EM/My2WVGlwwuNBjQRLQ6pCwStuNGfxogWIl1qYiuJqdRqu6K400Wrxo6x3ycbgdK5Vsx2Grl6KZXQmif6FPXWvUsHdHbHSgzFHG/aUvEUC/T/iKjFlIWCV14oP9FdKtlMcgxmuMjU34bWtebvSDF7o43KHSOwt28f8vZXPf5xT0Dw/JRSycvW20a2gqUnqtIcHClZ9W2sfoUtQS1hTPcxQdQWhuk1Zb8daB1XcAn2SLk74T2lCbjmFBp/FYmO95Fkaluu6x2vDXEmiVxZ+gcc8qPVkhZJGxHz8tsx4tsZaevx5rqUp1akVYNUrnqsHvLLADmT0PbqUCbsTJ4GGcQe7PKV/R/DFjeND5QNPLv11Y5KL3d8LpN8ITIcgPmTkM707MY9dv2Q0qdM5CySOjDY2Axg9NzewoYmVax4pbc1CfyrhTXa9XgbRO8+7yahZJYImIo3ZlSrESe8pWOqy0y4ClPXRZnrd1Gs7duGtqd/ZmbYdWYWfWoNx839bduhJRFQhdGXmy3dq1WKrEu1Y+5CZ6G5rtOb/6hyC0Jqj6LNlay2DS0gkVPI4trzjpdJa34vcZpyCHis3jb4Haq562A9+Psgm5NmfXDOmaFleqcdo1MzzNU9BSVGJBaq5Kd2qkk+Pm5r0Mki6U6pCwSujt5/auhtdPdpzPGmR6euaw7AB2WRSEne43zgnXplr42tIO1WiwRJc1KzBjstNrP1f1aK/om6ineaNXJy3z4Av1xO63mn9f0Dvq/nmclpDjIsh/S6TR05Ngm1Ihi4g8FpJc6m7WiBJu3TZTnExeB0RPcCimLhC6s3O0EALJTEvQXIEjj9ERd6dyisNkBrw+YWOBkvgUuchIs7PxFLC5KVjoWolPJgG+vdY9HOZqpLp9FBW3Rf1Q7pEr9BSyl3WprUXAbVC4rMd7Lnua04X3t0CTdknzldd8iW93PUusjpLbOFJG4FV7WbIDxBUh8+N9TnmdPe0OrQ8oioQsjLzbPQGfUv0oE3tWeRtCTt+p0rwVdaxKnBcAKeOsnNVF8H2MrnqsZFk61LPwDl3LoHHGUp6E5B9QI/TgKKMMCNyBkWNTzbjtYl7V16tqi2SqTP4KB1R8T/nfSwzhGGIeURcKVOOHTYm2ZYpao9CR1pcgKUZ+8uJviueDyzPEb1HMLU8Z0FU7z4eRzdJSkjpAFVfG4/gUuZloWeWGllhtjrPdZ5LdEWxmaxe5pXMDcxXRmWRZDUaoWVgQDtuXX2I2N79c67JjIe0J2RXVIWSR0YeTFlr/AV/Ruyc5fd+7i+DsJJy2L8tOvX9/HOkEUaJaZzL0loDWrwPky0rNt4dkWhHQRmYZWqiQ13S1g7VOoF30+ixrT0AZDm9j5fScyZc67gCc4vTK1dcFqRaTZrmo1d4cyF38EA7MM16wFPKc3TEXaqQ9s+dgkYlmkWWh1SFkkdGGkQwleWWueT5ZRREu0WkTVwLs2Vw/vFJ5eHcptMS61MGN6i0cu4dA5Ko1Gb1BuP6x30k0KomI6lXNKfmpq715NbYiyaEMlBPlrGlTn6uo0Vksbyj0cXp9Fs7RUmoa2BlIWCVMwW0mItsUjZlk1HMPD/Mm4TGQa2pV3yoXIlK7iNDRHFso7uOiYhhYxb7NOC1jzrEaPFdSsPiXUsmgLJn5Y1dgsf8CXkNOVRQ9K4YKELIs0Ea0KKYuELkI7LBETvnzQUnqV7fwgrF/gIlaokGIkENC4fgrSnLLNRn4vZk3dRJraKDQNrQCPwqfs72heeVpt0y2rRPXWuNqUvtKdqd1yTcgCET1yOVmltofOiVN3qTCDIN9ZWTFmvKeED1IWCV2YFZRb2bLo/mlos9JGArz3p9/C7M4aVJLKjL2hebIwc4GLlszaPmUMZUthkLYaJ1cgO2FZ5N1HnQe75Wft52526Bwl/VdoUZc7volcCymLhO0Er2pUd7q3E9HBRH69Vj9j9jS0k7qVusUzcmE9Q6XnKrYaWp9FT+0aXQtcDG/3Zyi5cXTE5QxJZgqh07iO14sg9iuLrGnocMz6YJTno7bjUyikK6pDyiKhj5B30GyfRScWuFip6ph9O2ZPJWnlF6Tgq9yL3pAybh1vFS2LNrVPUct7vxzlld9aMivleX7npqrnHUHAv9ITOMYvf6/TsxXPOWJZFPBZ1DpvVt8R6p5gOHSOibL4sTNeb7RDyiKhaxAITSIyeHo5FA8nxiXRfkXMWijis6idX+iKTKOIDCDxKluNad3nWxP6stO5oE9niZCoEKjcnGlo/T6LLK7u11o1tJCecbN/u0bo2iKTSxbLn6GsjSYwpjaDZeFTUFhc0aul6i4pYZZF2z911MvTaptWLXBRUqJ5Q+fwwuqqlO5IZFxyiWuuayFlkTAFocFT/tvEaTa9+FfBiU9DWyukavgOkzt8rfzkd6o2taNVJZnJ9cHG3aAgymHVgNIevGZYLHiyELGwt2qgvg2clsyss20aice1tAp5GxXa89e/wIUzSUuNenTGZ5EfralXzdA5Om8vdOGPmjxMZd6C/sDAFtpECFSVhC5C32sRZZFvNbTLNAmDmBDDOQitLbtEqRWwVIr4AYUSPEho+646TaKSsqhzuj3oOEceYu1Gw+Jk8J3Sumern6FcSdO0LHIeYylGWncRFpTbhqbL6wYCAHEadWOVsqtoWQxs91d/jP189Fek4gIXEcsieS2qQsoiYQpCcec4plzt9I8KhM4R7KzMlJBVtlr+1QLK3X9uPkvzGqVdHfxyyc+zVjfyojgl69KeSMmyKKJ4GZuGrr9GzY+OB83V0Jq+cOEXyN0XrA6ALFdG9MxksOTXoyA4EmdRhtada1nTNHdw0fkYlWYnEjitwEa6fKXnyPKXVMyDdEVVXNpFE24ntOPVO3hG8mrooLQm5s2jtIr4LA7qcJp2fgodvb8TruWcAhTaG1p2qVt3WkiIZ8tll+O8vI4evqCzaXnpSs84JlcWra4SeRvVsm6L+gArJmbKYdHmyiqI3INRy6JepUkp3/p3m986KooZlkVCHVIWCVMQc/jX7jRCX3I7PvpMHlNC8jZh3lJGtdnT0BoDCO9Arak0Kxw3MrVtJYo+iyJKscJdc1kWZZdoWcG0pye1fBYZljeNOIrydmP1bIC8LD3KOq94bpyGDi5PvUCtd8kqy6iyZTF8GtpsFBe4UOgc0yBlkTAFMZ/F+t9KqRqmJQb9347+2MnQIB2bZghd3zQj2dTylQYQ/+Ha2nrl1MgCl6BrZb+1rCF2wLJOKPks8rT3lioragHOoNwI0hYNoR06R1uaUOyYkm3bOA2A2KKu4CDWnlP/htMsU/w9snu7PECs/9Nqm3b7LHZtnhl2jOl2Y6D/VbIs0g4u5uF8D024knanOmhexHyI5JbF8HQD2zcOWtk5fWwPV8bLksuemhinca16Xpf3all/LUfZXVtkYtrYXLx/89kcV+unoqoWQMhKVCOWRYULotGyOO/2/r4fBvxyzbReGw2RpWVZtIoPJp99qix+azrzVkMONkpLRBeWIqNRTaGLwexenKXts+guZXFsn1YAnHEt8tdFLUfTccu2lm6FlEWCSahlTwu9cedYHfNlMsUJAHq3aWCLMmHkIzQtKV71vFreV/VtpWuBx/h+p2Ngh8biCQUoq6oBEOybpqZ0aCsk7A8FN3wMsERXjrOonZ8/Vp/Snandsl8WuVKquUuQ4WlojfwZx7QWS5hB8yxfPeq16PnrJVT+8f1a63rnHbEsCvhgaobOMSsod8j/tX0W62Hdg7EeQL1sng8NUhXVIWWRYCLaiZq9wEWuPHg81i6A8HcSViqLIrhppwx//887QOqdhnaDZZE1hprhs6iIYFBuo2O80ZhzLHG1YvaZiUh4Jw/jd6j8Ho9S6Bwxy5w9ryt/IU5ZFrUW/mj1a7z1yNyWU2NvaCcU/GiDlEWCiejUiljcuWBFMPx8eH62WBZlcv1pWAehtOlalkWtKcIgHyv3wTtQ652Gdu1qaIWV33oXdAUdV00T/C/AscBFQw4tBVczpArLZ9HGMdjogM/bp2kpLWpKkR0fekYti3bv4MKLJUG5PX7LIodspE+qQsoioeDfI5aHyAIFrQUuHk+48mSpZVEK38FlXN/WQnkY9VmU40bFyawBRn5ndUGxG913z4C1lkW1PBICgYxl09AGHwGrvOljewR+a+7iw/RZtC+MjND0KWPaNsyyqPOzLLSagq2/1mgcZobOMXtfeT8iu0CZHjpH4Xg8WRZNg5RFgonouywyxcXz9R2qO9ihQBkpQdNnUats2QVuUBZDZeC2GgiMAkZDodiBGdv96fFZFAkmHChHh89iiuwjhzWlLBI6x2rsGvDd2RLr0VJytdqOVc/MqA5qbAcXduH+95RnZoR2cFGHlEUCyQnhVjHN3RxC/q/XssjM24MQy4DH0K4hWiTFxwXK0UtWSoLq+XgVbTq0k3SDsnh6w+A9gZUG6tDpd22luP6KWk7LYuP0JI1czYGl8Gcksz8C0jQsyXKUdylSTsN6nzQXuGjUPus9l+eppUSw2jjPKlOz4BnwT8vwtRVW6JxQ67/e1z20HvT0G1ozEXLSk+KDn6xGcVpW78xk9b4qU6HNh6L0IaWElq96dqq6XAEYiqFSy0g6tUCNZyEWLYZWh5RFApee2QLndQze5UNr4AkdWEP7jQdGdAz6/y0D2zLzVno/Q/ePtlKBGt6lSaAcUW4e2BaX9GyBbi3CQ3DIyWmUist7tcSE/m2Y5+Vl++89iTG428VbE/qg9+nZmH2Tb6tApenGe87vgLPbNsS0sblc+crvk3f7trcn9UXv07PxwS3aYYLm3nqO7m3x7hhyRuD3gyM7Ymin0zCqe7Ogax4e1QmDO56GMT1a6CpDjlzJuKhH86BzLF/JUOvJ/SM6ontL9XYnp/fp2bgwtxluPa8dM0/W9KR8gH9wZCec1bYhZozrqZpGzn3DO6BzswzNmJM88FgWZ9/oa69yuTNPKXcX5jYPkkOpxWnpfu/ffDZ6n54dCI2kp9+4vHdLDOrQGPeH9JMsPpx8jlDeWi4deZd0Q7+cBornH72Qb6eg3oLvGetjRc7zV+Sib5sGeP36PkL5AuGK3m3ntcNFuc1xZutsAM5v0RgNmLeEk4hYkuLj8N5NZyHn0S8Dx9Q6zL+O6Rp2LPRr9p5hHdA0MxkPz18LAJjQP6c+b41PFE+IqipBn0+b0mpHObee167e6qej12fVBVsWD14efyYkScJ7P+1invfjv9fUxDgcKxOXCfBZB4oravQlBtC+SQY+vXNA4P9KFqSs1AR8dFv/wP9FjCzBPovKjaJzs8wgWdQ4p10jfHbngKC2zENGUnyQxeju89kLnO4c0h53DhHKmmuXojsGnxF0jtXeQ5vyvcM64Op+rXHWc/mq5dTL4cG/rusDSZLw5vcFYee1lLFG6Un4WPasedLcN7wj7hveEfd8uBp7T5xUF1ADHv/IroyPtqaZPmtjQpwXs27shxEvf6+ah5alMLdVlmJ75LUyJsXH4T83n42K6lq89M1WzfLW7D5RX4ZG3lof1i2yUzDv9nMV35EmHAH/H7qgk7BFVW5gYCVt1SAVn9xxrnZGHOU+dmGXoP/zfGiQZVEdsiwSTIRD5zA6qNDwN4Hfsmt49vSUJEnf9l6C19gx+cvTwfrrUmuFtRpm93u8Cxm0A0PX/5bvb+30zLsT44Sawz+324WOelNaNKPH+sIbOseMxyuy8lp+X82y6pUfj1ql68R12/3p8HcVl0E8TXpSvWXRUJ2xpqE1ND07QzxFK6QsEkzUBn3Wi8lSFpVcWrR8ajye0JAhei2LYmmcjG8oL9pfP2bGbjSKFXEWgxdPOKstWrl7g9K7pHbLzAHf4vFOzypZXgXTjMcrsvJaPo1vl88rAFQLOnHy1ovIR60bfJ5ZWNmfabVCrRiQPHnEOqQsEkzUOjHWmMJSAJWUQp7YcaHWDz0dIFcKBYunk8TJpqGthrdauZUCzfPsBS5OY4Yk3z4wmHmcZxo6VKFkLYhivStaW2dqIc9Tz2IV3mdoxrtVI2BazE5NxBs39MF/bj4rZCGGh/HLGPJ6P1JaJZZWR+zHJIVdhfzYHZOWF7myWFlt8soojabB03/Rdn/quMd0QUQMrEGLbVlUUBYZKxVDCU4q6VIWfYMxf6BhJ41b8qLNmIbmJc7rQR3HIGyWZTFoGtpFU0NmxJ5rd1o6WmQlY19RBdf1anWVYJN1KHgaOnwA16oWfsui8fsRnSa/oFsz1fN6VqlrcbCY79kbQWuhiCm7C2mgp4i0xPr+zL+NqFloWxbd09dEKmRZJJiode6sAYSpLHrYipiWZdHj8ZhiWRT9+DUS58tM6i2L9iiLPPBbFvnr0E1+RE4YFTwK7wfAfi7MrekMWsaDlUXx9GZZnHkwY8DnUXKM9AOHBJVF/mno+guTEjQsizb4LOpB3qbLKmtNzVvLKshlWTRLmCiFlEWCiVp3w3qpWHtDKy1KCVIWWQMggi2Lun0Wea5RUGLtJigo96n/3DggB0B9aB8rePrS7gCAu4aeoXrdxHN9spzfWUMWgTp0UzgLKyVR3gVGLI2WQqun/QbFWdQIncOC2yJrwrt1+6kV42NOhRm6e2h74TyCff/Me+EnD2oLAHh0dBeNK42THM+2LLZtnAYAGNj+NOZ5M2HV3MOjOgEA8i5WjhDRuqEvdFHfNg1MkePOU+Gu8i7ppnqdiAsDwYamoQkmoj6LrK/ZYMti/W/5NAnL8TjOGxo8Ryzod32ZwkkcpF7YuFN12b1lFlb/dYRmwG8jjOvbGud3boJGGosAzmydbYos8mdi1bZjurBQFCXHfq+KZZH1PrFElF+l54MqKM6iDuXdCouzEv3PaITf/joCDU4Fb37wgk64cUAOHpm/Dos3HTScvx89/cZfLuyC2wefofkehZWlQyalaehFfz4P5VW1lvYXatw5pD3G922NRulJyPvfRuY1+fcPwclqYzLKW9zDozrjlkHt0DAtUTUNn8+ibpFiAlIWCSbqlsXwt4rlJyOfdlBazcf64vN6PGHWR32WRe00QXI5pF2GTUHKDjTQ6ATNgHeA45FFpAbd5Edk5VZf8pAhcuR1FTpQ8boHBH2E6VEWZb/1WHrtXA0NIEwpEFbOVBR0I3g8HmFZQuVRQ/6uJCtMQyfEeZGVYs9koZLYWnWQGO9FosYCHVG0FEWAbzU0TUSrQ9PQBBNRn0XWYgxlB3L1FZxxXk+YBUrPQCiaxElDZFDonAh+K7UGv6DV0G5SFh2wLCbLVruHlp/AaARKSoIfliuIJrJy0xSUWjXs9Fk0GyWZ3ChrVU29spOkMA0dK+h5Pi7qaiIWsiwSTHhfyEdHd8aGfcUY3DHcTybIsugJPn7HkDNQfLIazTLDdwuI84YG5bYuzqJbfBblyoKuQd8laEku14FctcDFwrzTFBYq9W5d77cVatmUT0M/PKoTNu8vwYAzGoflwVpFL4K83Mt6tUT+pkMY2KExpvzfBq703KFzXNKkRf2YrYa3qMqa+gUhWqFz7MDJxYB63lWuOIvu6Y5cCSmLBBN1n8X6t+r2wcoLI9SUnkdG+fYffZmx1ZXX4wlWFnWGzuEaGFwSOod36zu3w6rDa88+HR/8/AeA4DZhR5xF3mZjpf9kRnJ4N3vpmS2Ctr0MsyzKFrjcOYRvIYfRYMxJ8XF4c0JfAOBWFvl3cHGHtuiWj0NR5HEJ9cyymE0k1R0A1NICF8NE7qhEWIxyb8BrEAra7k8hP9Y0lm+BSz16LYuRFDpHXg8RrCsyBxH5IXmbsMOyyBtzzixdkZUNaxpaktRl4/dZFE8TKocRIs2yKMfpXYN8MvBdV1FjbqiZWINrb2gb5IhkIm5YKikpQV5eHnJzc5Geno6srCz069cPL774IqqqxKLna3H77bcHYv7l5ORwpdm+fTseeOABdO/eHVlZWUhLS0O7du1w2WWX4V//+pep8lmJ6GpoFkrT0HJYL3FcyAIXAMhtmcVXqAweRUF+ydBOvqn07FT7VxPKLVumbNflUM+npXDLLYvddTxTUfzK6TntGlpelhLMMDhQX+DSR0doET3BmI02k2GdmwKoD4mihAv0MgDusXCKktMozWkRXEOnphnCaUZ2a6p5DU1DqxNR09C7du3CkCFDUFhYCABITU1FZWUlVq1ahVWrVmHOnDnIz89HgwbGYzgtXboUb775plCav//973j00UdRWVkJAEhJSUF8fDx27tyJnTt3YunSpbjzzjsNy2YHoquhWfAMXqzpP1ZQ7nPbN8Zr1/bGTwVH8P6KP7jKFx2g7jq/PVo3TMWgDtbHKQtF7lJjhrLoqrA0MuT3NqJrU/zj6jPRrYV1SqNfOX3j+r445/l8nKy21kKj9OQ+vfNcFJVX48ZZvwDwuXKEuloAwOL7B2PDviKM7q6++0h9efV56AudI5wkiEdHd0bXFpkY0knrnYkcJc1OhVLJunlOu4ZYUXAs8P/uLbPw+vV90KqBulIeC5zdrpFwmscv7IoerbLx8CdrLZAoNogYy2JtbS0uvvhiFBYWonnz5vjmm29QVlaG8vJyzJ07FxkZGVi9ejWuu+46w2WVl5fjlltuQXx8PPr27cuV5qWXXsKf//xnVFVV4a677sLmzZtRXl6O4uJiHD9+HIsWLcItt9xiWDa7MN2yqHANK3ROqLLkH0gv6tEcnZpl8hXOibykpPg4jOvbGs2ywhfdWI18Os+MBS5O7busJXqQa4LHg0vPbIn2TdItk8fflrJSE3BV31aWleNHqdZ7n94AQ2UBzSWExpz0/du+STouPbOlrilSfaFzjLWT5IQ4XNW3NZpkqL8zrrEsukQOLdKTwmc3RnVvZos1ngenpvC7tdDX/6ck+tqpGlaGz4oGIkZZnDVrFtatWwcAmD9/PoYPHw4A8Hq9GD9+PN544w0AwNdff438/HxDZT3++OPYsWMHHn74YXTrph4ZHgDWrVuHRx99FIDPuvjqq6+iU6dOgfPZ2dkYMWIEZsyYYUguO1H7uuZ9pXiUHtZ+tKGzdnr1Hq5pOZeMHnL/PTMsi64KSyP7bfdKbxesBVAkOJaozucly8MJyyIvbnwMLnn1mbhZNidx6YRJTBAxyuLs2bMBAEOHDkX//v3Dzl999dVo27YtAOC9997TXc6KFSvwyiuvoGPHjnjiiSe40jz33HOorq7GWWedhXvvvVd32W5CtbPifGODFmoI+Cz6lbxWDVKQEOdBp2YyHxXOsu85v70rBygl5NPGZny1O6Usaslu9+IdU/w/rSBkgYsZT8toUG4rcaPy44EHNw30jRkD24eHJXISF1ZXEE7JZ2V7JUVUnYhQFsvLy7F8+XIAwOjRo5nXeDwejBo1CgCwaNEiXeVUVlbipptugiRJeOONN5CcrD0dWVZWhvnz5wMAbrrpJl3luhHVaWjOPHgGaqXV0ACw9MEhWJd3QdD2Vrw60AMjO3ENUG7plM1W7pwyLLLqU24107MIwwh2l8eLBEl1gQsvQcHcdQXltqehiPoBssINmSJHiBgdm2Zgw9QL8Oq1vSwpTy8ubbaOo9sCz5O3ZTlHBxGhLG7atAl1p6Yru3fvrnid/9yBAwdw7NgxxeuUeOqpp7Bp0ybcfPPNGDJkCFealStXorq6GgAwePBgLFmyBGPGjEHjxo2RnJyMdu3a4eabb8aGDXxxy9yC6jQ0r8+ifKcWhfzULIvxcd6wfVDFlKrI6XHduiDFDIIW79itLLrUshgeOkff85fnoGsaWlep4rhR+fHLlJYU77pV0m6TJxQ3Pk/CWiJCWdy3b1/gd8uWLRWvk5+Tp+Fh9erVmD59Opo2bYrp06dzp9u61RdU2uPx4JNPPsGwYcPw5ZdfoqKiAgkJCdi5cyfeeecd9O7dm2t6vLKyEsXFxUF/jqBqWeSdhtYOncOKtadmkRRRqnjGTrd0ei5yMTREZkq4Y35NUAxJeyvcrbvhSFKoz6LxPHWFzrGp3TXWsW+yFSi6Sbismbg91qpWdfm3pjT7uVv5UW2l1TIacHmT9FFSUhL4nZqaqnid/Jw8jRY1NTW46aabUFNTg1deeUUo9M7x48cDv//617+iW7du+PHHH1FaWoqSkhKsXLkSZ555JqqqqnDzzTdj1apVqvk9//zzyMrKCvy1bq2+gssqTHBZ5BqomXEWTVIWXaonhBHn9bhqQYoRBrVvjPF9W+Ox0Z0Dx0yPISmAvDg3VbEEKTg8lM585HnItwjklsOmAfKWQW1xUY/m+Oc1fNO9VonlUfjtNtxuWdTi0zsGYETXpvhg8tm60r9+fR8kMrY1JH3OOSJCWbSav/3tb1izZg3GjBmDq666Siitf3pckiQkJSXhiy++CFqA069fP3zxxRdITU1FTU0NnnnmGdX8HnvsMRQVFQX+du/eLX5DJqC2UEGPz6JSbiwlSc1CIjLg83S4buiU47yeqJmG9no9mHZlD0wakBM4Jn/GTk5Du6mOQ0VxyrJoF6mJ8Xjt2t64uGcLrut59vI1SqRu/ecGtBaydW2Ribcm9EVHHQG0AV+YoH9d2zvsuFlvcOP0RJNyih0iQlnMyKhvcOXl5YrXyc/J06ixceNGPP3000hPT9e1w4q8nHHjxqFNmzZh17Rs2RLXXnstAGDx4sWorVUODJyUlITMzMygPycww7LIM+XIGhTstCy6YZCIJsuiH7kSLo/56ORqaDfVcKgsei188uara7s/XaVaj1W6ohvedx4iRU4rYdWBWZZwVjYu+pZ0JRGhLLZoUf81unfvXsXr5OfkadS46667UFVVhccffxwNGjRAaWlp0F9NTQ0AXyP1H/MvaAGC/SS7dOmiWI7/XFlZGY4ePcolm5MM7KAcSoJ/B5f630pfoszV0GpWTSHLYmQQ7w0JDyTImB7NTZTGHIKmfx20LMrLs2Mvat72GWZZNKFsPXWrtI1mwqkp7baNndlmzhbLIrRnPpzC7qDXblROmcqiSXm7aZYhUogIZbFLly7wnjJJrF+/XvE6/7lmzZqhYUO+vWB37twJwDf9m5GREfY3Z84cAMAff/wROPbaa68F0vfo0SPwW3Xq1uQ4elZzZe9WeOKieuX35lPxyABwv7HyaTGlO2auhlZplSIDPk89u+FJeL0edGuRhdk3nYXF958nnH76lT3wz2t64fpzTrdAOn3I677W5IDjIrh1Gjr0JTIjdI5I3X77wGC8O6kf+uaw+8n/3jUA06/sgQn9c/QJZhCr9HoltxO39clukWbpg0OYHwxOvUtmFcvKhnZwUScilMXU1FQMGDAAALBgwQLmNZIkYeHChQCAkSNH2iZb+/bt0a5dOwC+KW0lNm3aBADIzMxEo0bie1vajdfrwYW59Rarnq2zA795OwqeoMOiPosi29i5rP9XxB/yZHDH09C+ibiFMTUxHhf3bIGM5PCVyE4RvLDEuQ+lIMuii8aCcJ9F48KJKIvtTksP2n4wlG4tsnBV39ZISYxTvCYSiRQ/RbtlUyoup3Eac99vO9xmWIq9ldPQhDoRoSwCwMSJEwEAS5Yswc8//xx2ft68eSgoKAAATJgwgTvfwsJCSJKk+Ocvt02bNoFj9913X1AekyZNCshQWFgYVsbevXvx4YcfAgAuvPDCgJXUrfjHHCWljdtnUUFhkKMWlJuF0AKXiPFZNKc9uOBWAsiVQpb12D456n+7y7IYjO7V0LKnHrpNJsGPm94dwH551GfFwo855WNtVqkspdPF3YMriJjuZeLEicjNzYUkSRg7dmxg/+e6ujrMmzcPkydPBuDb4WXYsGFBafPy8uDxeODxeJjKnFHuv/9+tGnTBpWVlbjkkkuwYsWKwLlVq1ZhzJgxKC8vR0pKCqZMmWJ6+WbjV9aCfA4BXNmnFbweBK10VcMbZNVhv4l/udA31X2RzO9OdTW0QCc1bazPRSCnkXK4JSe4vFfLoADKeoIps7ihfxvEeT24opdyLFIncHLxTtACFxvE4FVI/Vf1adMADVIT0KcNf7guJdy8GtotKNVQSkIcujTPRGK8F31yjD8Lo9x9fgcAwMT+4QsmreD16/sAAJ69PHzTC1abtuUDkLnAxZysmdPQpCyqYs2eShYQHx+Pzz//HEOHDkVhYSGGDx+O1NRU1NXVoaKiAgDQq1evgI+hnaSlpWHBggUYPnw41q1bh/79+yM9PR0AUFpaCgBIT0/Hhx9+qLoIxi34B53Q1cwzxvXEc5fnMuNfqeUDKL+I3VtmYeszo7H3xEl8uXY/APNWQ597RmNsfWY0Pv1tDx79dB13Oqt56aqemDa2Bzo+8TUA8/z4mmelYNNTo5AY78Wnq5UXgtmNk8oizweLmfAOon7Lxie390dNnYQEnWZBvT6LRLA1zev14It7BqKiuhZpSc4Pi+2bpGPrM6O5+1qjjOjaVLE81ntjzzR0OGb5FZJiKE7EWBYBICcnB2vXrsWUKVPQvXt3eDweJCQkoE+fPpgxYwZWrFghFFDbTDp37owNGzZgypQpgUUvtbW16NSpE+69916sX78eY8aMcUQ2Ueoti+Gvq0jn5ZFdqjZQJ8Z7gwM3mxRn0Z+32wwuHo8nqB7NHOTtGlxEcFRZDFrgYn15NbV8q3j9ong8Ht2KIuBswPOIxMP8CcBXf25QFP3Y/S4rlcd6b5xyLbFSySP9UR33vBmcZGRkYOrUqZg6dSp3mry8POTl5ekqb9asWZg1axbXtVlZWcKyuRHWNLQeq0yibBCM1/DLk/uQqK6GjsJPQrOmod2Kk89M7oKgJsdpGeZsS8ZvWTSluCCfxdB91GOFVg1SuK91QxB+t9ChSTq2HSoNhElSguXfV2tL0HTWAhdz8qat/cSJOGWRsB6/sujhmEZWIzkhDo+M6ozKmlrNwVhukFGdhtbxRev2AcJKi5AbrKpOWCHm3noOPvpld1D4J9YA8djozti4vxj3nN/elHJrasV8Fo2SkhiHh0d1Qk2t5Jr9l7X49M5z8d6Phdi4vxhbD5Yazu/+kR1RXFGNy84U89V1w7sBAE9d2g3Lth3B9kOlKDhSZlu5b0/shxe/2YLbzjtD9TqWXuicZdGcclnikwKpDimLRBgBn0VZZ6rXV+SOIeodkR+51ces0DkBXDIoKGGlZdHuINgs7AiGHco57RrhnHbBIapYg177Jum4bTBfG+Wh2gaLSyh3DjFH0bWL3qc3QO/TG+C6mStMURYzkxPw0lVncl3rgtchjAn9czChfw4mvbvSVmXx9Eap+MfVvTSvY/W5drzTbJ9Fc2CNZ6QqquM+ByfCcfyWLrnFy+oxkDdwcxTqiqaFzmHBs+Wi1ehS8C2ANQ1ttvLAv4OLO+rESZze4tL5NyMYt65md2o1NHu7P3PyptdPHFIWiTDiApZF7aDaZiF/edUXuOiYhnZpJ+zHyvh4brAs8k7NWo2bgnIT1n+AspC/DW5rDs6/qQq4Ks6iSauhuQ8SfkhZJMKo91msP2b1IoXaoAUuJiuLuiSyDysti25YPOOWRUksa55T/qwuqRJHccLi7OYPR7eK5phlkbmDizl5k2VfHFIWiTD8uktwnERrXy5ehUJPH+XWTtiPlQqdG6ahndzBRY5blFaA9qEF3PU83IHz7yoL1utb69BsgVldCavp0TupDimLRBj+MDfBAY2tLZNXGdW1GtqdfXAAK1dDuyH2nhMLXFgwxXCoekhPcqZdOP82KOPWfoplAXbKZ9GsuWLawUUcUhaJMOr3hq4/ZvWL1KNVNjo0ScdQxqb1cvRYIy7o1gwts/ljsdmNFZbF6Vf2QEZSfGAbLydxo2WxVYMUNExLRNfmmbbK8OjozshMjkfeJd1sLdeNPHdFLjKTnQvI4TbdzG3y+HEqzmKnZhlonJ6IFlnJmDKmK9KT4vGv68zpz2gaWhwKnUOEwYyzaLGJPiHOi4X3naf5dc25QUYQqYnx+OHhoXj3x0I8/cVGfQJaiBVTxVf1bY0re7dyxTS0W/pluRzfPTQUkiQh3srVRQxuH3wGbh3UzhXPxWm6tcjCmikj0e4vXyleY7ZlXN6/uKRZBnCrZZH1/toxC904PQkrHhsGj8eDOK8Hk87NMe29YVoWTck5eiFlkQiDFcLBDuMQT0fA+iL0erTl83o9rpkODcUqn0W3KCQ1Tix7ZRC+NZ4z9eOW5+IGtOrC7NX8bg7Q71bZWCuf7bAsAgj6mDPzvXHLB2wkQdPQRBisr3m3mO1Z09A9WmXrTusGGqYlOi2CpXRrkeW0CADc+/wJZUwPFBAU4cHkvA3iVstiG9mWmX7cEg7LTKh7UIcsi0QYLEuXW6xyrD7qlat74d/f7UCcF3h/xR+KaV1yCwFeuLIHdh8rR6/TGzgtiiX84+ozsWl/Cf48ogOe+3IThnRu4qg8bnv+hDZae8qLkpFUP+QdK6s0NW+juDUo95+Gd8TJ6lqM6dECV7+5AkB0fXj1bJWFRulJaJGd7LQoroaURSIMlrnfLV0Dq5NqmpWE56/IxYcrlRVFpbRO9nnj+rZ2rnAbuPTMlrj0TN/vqZd2d1QWwF7reEKcOwf+SMPsGXt533ao2F3KoktnoZGeFI9nLssNOuaWRWtm8KfhHXB+56ZOi+F6aBqaCIPlJ+SWvoFl4fTLq9XXusU6SjiDnY/fbItYrGJl6KeDJe5SFl2qKzJxeqtGM3FzoHY3QT0aEaBzswwAwOW9W4adc4vP4ujc5gCADFnIDf+A0ruN+nQuK16YW/YtJqzHjgFueBffVPuNA3IsLyuaOa+jL4TWDf1zTM+7WwtfuKQLuzczPW8jjO7u69uaZiY5LIky7ZukAwAu7tHCYUn0cVEPXx1POjcncKxT0wyHpIksaBqaCDDv9v7YuK8Y/XIahp1zi051cY/maJ6VjI5NMnCwpAKJcd7Al2HHphn4/O4BaJrJ9j1h6QrlVbVWiku4CDs+eF69tjdW/3EC/XKi0w/VLt64vg/W7LamHufeeg427CvGWYx+zkkuzG2Gebf3R8cm7lVePr3zXGxSGCMigRfH9cR1Z5+OfjkNMfm8djhRXoUWLo7B6yZIWSQCZCQn4Ox2jZjn3OLQ7PF4Ah1VVmpC2HnVldGMeyirrDFLNMLl2NGCkxPi0P8M9jtE8JOSaF09ZiQn4ByFfs5J5H2bW8lUGSMigeSEOJx7RmMAQMvsFFdv1uA2aBqa4MIdqqIxWFPOpCzGDm754CEIgog0SFkkuIiGgZY1DV1aSdPQsYJLYoMTBEFEHKQsElxEga7IXA1dXkWWxVghGj54CIIgnICURYKLaAg7w1IWaBo6diBlkSAIQh+kLBJcRMMwy9J327t45SFhLqQrEgRB6INWQxNcRMNAK4+z99W9g/Dpb3tw19D2DkpE2AnF1HQ/dw45g1aTE4QLIWWR4CIapvDkcfa6tshE1xZdHZSGsJsoaMJRz8OjOjstAkEQDGgamuDCLTu4GIEsS7FNNHzwEARBOAEpiwQXUbC+JbCdVjOFHV6I6Gbiqa3j/FvJEe5g8qC2AIBrzjrdYUkIglCCpqEJLqQoWOIyoH1jfHXvILRuSFH7Y5FJ5+agT5sG6NSMFjW5iUdGdcZFPVqg+6k9mwmCcB+kLBJcRINlEfD5KhKxidfrQc/W2U6LQYQQH+fFmfRcCMLV0DQ0wUW81+O0CARBEARBOAApi4QqD4zoiA5N0nHzwLZOi0IQBEEQhAN4pGhY5hrFFBcXIysrC0VFRcjMpClUgiAIgogEomn8JssiQRAEQRAEoQgpiwRBEARBEIQipCwSBEEQBEEQipCySBAEQRAEQShCyiJBEARBEAShCCmLBEEQBEEQhCKkLBIEQRAEQRCKkLJIEARBEARBKELKIkEQBEEQBKEIKYsEQRAEQRCEIqQsEgRBEARBEIqQskgQBEEQBEEoQsoiQRAEQRAEoQgpiwRBEARBEIQi8U4LQKgjSRIAoLi42GFJCIIgCILgxT9u+8fxSIaURZdTUlICAGjdurXDkhAEQRAEIUpJSQmysrKcFsMQHikaVN4opq6uDvv27UNGRgY8Ho9p+RYXF6N169bYvXs3MjMzTcuXUIfq3Rmo3p2D6t4ZqN6dQV7vGRkZKCkpQYsWLeD1RrbXH1kWXY7X60WrVq0syz8zM5M6EgegencGqnfnoLp3Bqp3Z/DXe6RbFP1EtqpLEARBEARBWAopiwRBEARBEIQipCzGKElJSXjyySeRlJTktCgxBdW7M1C9OwfVvTNQvTtDtNY7LXAhCIIgCIIgFCHLIkEQBEEQBKEIKYsEQRAEQRCEIqQsEgRBEARBEIqQskgQBEEQBEEoQsqixZSUlCAvLw+5ublIT09HVlYW+vXrhxdffBFVVVWG8j548CAeeOABdOrUCSkpKWjYsCEGDRqEmTNncu1FuWPHDtx2221o27YtkpOT0aRJE1xwwQWYP38+V/m//fYbrr/+erRq1QpJSUlo3rw5Lr/8cnz77bdc6ZcsWYLLL78czZs3R1JSElq1aoXrr78ev/32G1d6NaKx3teuXYtnn30WF1xwAVq2bInExERkZGSge/fuuPfee7F161bV9Dk5OfB4PKp/AwcOFKqLUKKx3ocMGaJZbzyB86m989f7rFmzNOtc/jd79uywPGK1vR84cAAff/wxHn30UYwYMQKNGjUK3O/SpUu5y6f+3d56d33/LhGWUVhYKOXk5EgAJABSamqqlJSUFPh/r169pGPHjunKe9WqVVKjRo0CeaWnp0vx8fGB/48cOVKqqKhQTP/ll19KqampgeszMzMlr9cb+P+NN94o1dXVKaZ/6623gsrLysqSPB5P4P9PPvmkqvxPPvlk4FqPxyNlZWUF/h8fHy+99dZbuupFkqKz3t9///3ANfI6j4uLC/w/MTFRev311xXLbtOmTaDMpk2bMv8uueQSXfUiSdFZ75IkSYMHD5YASGlpaYr11qtXL1X5qb2L1fvcuXMV69r/l5KSEshnw4YNYXnEanuXt7XQvyVLlnCVT/27vfUeCf07KYsWUVNTI+Xm5koApObNm0vffPONJEmSVFtbK82dO1fKyMiQAEijR48WzvvEiRNSs2bNJABS586dpV9++UWSJEmqrKyUXn31VSkhIUECIN1xxx3M9AUFBVJaWpoEQBowYIC0ZcsWSZIkqaSkRJoyZUqgcU6bNo2Z/scffww04ssuu0zavXu3JEmSdOTIEem2224LpP/oo4+Y6T/66KPANbfddpt05MgRSZIkaffu3dJll10mAZDi4uKkH3/8UbhuorXe3333XSkpKUm6/vrrpS+//FIqKioKlL148WKpe/fugY7Zf8+h+DuTd999V/jetYjWepekemVRa4BUgtq7vnrXwt/mzznnHOb5WG3veXl5UuvWraVLL71Umjp1qvTWW28JKYvUv9tf727v3yWJlEXLmDlzZqChsF6KDz74IHB+8eLFQnk/8cQTEgApJSVFKigoCDv/3HPPBV5Ifwct5/rrr5cASM2aNZOOHz8edv7WW28NfKGwvtAGDhwoAZByc3OlqqqqsPMXXHCBBEBq06aNVFNTE3SupqYm0KgvuOCCsLSVlZWBzmDgwIFq1cAkWut98+bN0t69exVlO378eKCjGzZsGPMaKzuTaK13STKmLFJ711/vaqxYsSJwXzNnzmReE6vtPbTP3blzp5CySP27/fXu9v5dkkhZtIxBgwZJAKShQ4cyz9fV1Ult27aVAEgTJkwQyvv000+XAN8UDouSkhIpPT1dAiBNmTIl6FxpaWlg+mbq1KnM9PJG/s477wSd27FjR+Dc7NmzmemXLl0auObbb78NOpefnx8499133zHTz5o1K3DNjh07mNcoEa31zsOdd94ZGHxZWNmZRHO9G1EWqb1b094nT54sAb5pwpKSEuY1sdjeWYgoLdS/O1PvPDjZv0uSJNECFwsoLy/H8uXLAQCjR49mXuPxeDBq1CgAwKJFi7jz3rJlC/744w/VvNPT0zFo0CBm3suWLcPJkydV0+fk5KBLly7M9N98803gt1/+UAYOHIiMjAzV9BkZGRgwYAAzvVwueXlaRHO985CcnAwAqK2tFU5rhFivdzWovZtf72VlZZg7dy4A4Oqrr0Z6ejp3WjNwc70bhfp3Z+qdB6f6dz+kLFrApk2bUFdXBwDo3r274nX+cwcOHMCxY8e48l6/fn1YerW8N27cqJi+W7dumuk3bNjATN+kSRM0adKEmTYuLg6dO3dWTd+lSxfExcUx0zdp0gSnnXYaM70a0VzvPPhX3OXm5qpeN2PGjMBqu4YNG2LgwIH429/+huPHjwuXCcROvc+ZMwc5OTlISkpCdnY2+vbti8cffxz79u3TlJ/au3p6kfv++OOPUVJSAgC45ZZbNK+PpfZuFOrfnal3Hpzq3/2QsmgB8sGjZcuWitfJz6kNOEbyLi4uRmlpaVj6Bg0aIDU1VTN9qFz+/6uVbWV6NaK53rX46KOPAiEpJk+erHrthg0bcOzYMaSlpeH48eNYvnw5HnvsMXTt2jXw5S5CrNT79u3bsW/fPqSlpaG4uBi//vornnvuOXTp0gWfffaZqvzU3tXTi9z322+/DcA3cJ999tma18dSezcK9e/O1LsWTvbvfkhZtAD/Vy8A1Y5Sfk6exsq8/b/V0srPh8rldHo1orne1di6dStuv/12AL4pokmTJjGvu/TSS/Hxxx/j0KFDOHnyJI4fP47Dhw/j5ZdfRnp6Og4cOICLLroIBQUF3GWHyhqN9T5kyBC8++672Lt3LyorK3Hs2DEcP34c7777Lpo0aYLi4mKMHz8eP/30k6L81N7V0/PKtXnz5sCAd/PNN6teG4vt3SjUvztT72o43b/7IWWRICIYfwdw4sQJtGjRAh9++CG8XvZr/Y9//APjxo0LTAEBQOPGjXHfffdh8eLFiI+PR1FREfLy8mySPjLIy8vDpEmT0KJFC3g8HgBAVlYWJk2ahB9//BHZ2dmorq7GI4884rCk0Y/fqpiUlIQbbrhB9Vpq70Sk46b+nZRFC/A7/wI+p1wl5OfkaazM2/9bLa38fKhcTqdXI5rrncWhQ4cwbNgwbN++HU2bNkV+fj7XTiIszj77bIwfPx4A8Pnnn3PtzOEn1updzhlnnIG77roLgG9Rx5EjR4LOU3s3776rq6vx3nvvAQAuu+wyNGrUSDONEtHa3o1C/bsz9c7CLf27H1IWLaBFixaB33v37lW8Tn5OnsbMvDMzM4NWC/rTHz9+XPWl8KcPlcv/f7WyrUyvRjTXeyiHDh3C+eefj40bN6JJkyb49ttvA07neunfvz8AoKioCEePHuVOF0v1zsJfb5IkobCwMOgctXfz6v1///sfDh06BIBvYYsW0djejUL9uzP1Hoqb+nc/pCxaQJcuXQKmYvkqq1D855o1a4aGDRty5S1fqcWTd9euXRXTq61E86cPXcnoT3/o0CEcPnyYmba2thabN29WTb9p0ybFEADyvNVWUoYSzfUu59ChQxg6dCg2bNgQ6EhCy7OTWKl3PVB7N6/e/VPQOTk5GDZsmOb1VuHmejcK9e/O1Lsct/XvfkhZtIDU1NRAjKkFCxYwr5EkCQsXLgQAjBw5kjvvTp064fTTT1fNu6ysDD/88AMz74EDByIlJUU1/a5du7Bp0yZm+hEjRgR+K6Vfvnx5wPlXKX1JSQl+/PFHZnp5vvLytIjmevdz8OBBDB06NOiL0ywFZ8WKFQB8X80iU3yxUO9q+OvN4/EgJycn6By1d3Pqfe/evYH7uOmmmwK+o0aIxvZuFOrfnal3P27s3wNYEuqbCGxL5PF4pBUrVoSdl++fqXdbotTUVGnnzp1h56dNm8a1DVfz5s2lEydOhJ2/4447JABSRkaG6nZ/PXv2ZG4HNXr0aK7toC688MKwtFVVVVKPHj0MbwcVjfV+8OBBqWvXrhIAqWnTptKGDRu4Za+rq1M9v3LlysDep9dddx13vn6itd616q2goEBq0KCBBPj2Pw6F2rv+9i7n6aefDpTl36tYjVhu76Ho3e6P+vdgrK53N/fvkkTb/VlGdXV1YA/Mli1bBhpubW2t9PHHH0uZmZkSwN7w/Mknnww0MlajlW943rVrV2nVqlWSJPn23fzXv/4lJSYmSoDyhucFBQVSWlqaBEAaNGiQtHXrVkmSfFt0TZ06VfJ4PBIAadq0acz08o3mr7jiCmnPnj2SJEnS0aNHAwMAwLfR/B133CEdPXpUkiRJ2rNnj3TFFVcEXkg9G81Ha70fOnRI6tatmwT49trduHGjUL3cfffd0l133SUtWbIkaHu0I0eOSP/4xz8C9ZKRkSFt27ZNKG9Jit56f+6556QJEyZIX331VdD+xkVFRdLs2bMDciUkJEjLli1jlk/tXV8/40e+hRtLAWERy+29trZWOnz4cODvt99+C5T33//+N+hcRUVFWHrq3+2vd7f375JEyqKl7Ny5U8rJyQk0mNTUVCk5OTnw/169ejG/qLUatSRJ0qpVq6RGjRoFrsvIyAh8OQCQRo4cyewI/Hz55ZdSampq4PqsrKxABwFAmjRpkurXyltvvSXFx8cHrs/Ozg50/oD2Prrye/R4PFJ2dnbg//Hx8dJbb72lml6NaKz3qVOnBq5JS0uTmjZtqvr3xx9/BKWfOHFiUH1nZWUFLGL+v+bNm0s//PCDWGXLiMZ6l8vmL7dhw4aS1+sNymv+/PmqdUPtXV8/I0mStHjx4sD1n376KVedxHJ7l1u0tP6U9hGm/t3eeo+E/p2URYspLi6WpkyZInXv3l1KS0uTMjIypD59+kgzZsyQKisrmWl4GrUkSdKBAwekP//5z1KHDh2k5ORkKTs7Wxo4cKD01ltvSbW1tZqybd++XZo8ebKUk5MjJSYmSo0aNZJGjBghffLJJ1z39uuvv0rXXnut1LJlSykxMVFq2rSpdNlll0n5+flc6fPz86XLLrtMatq0qZSYmCi1bNlSuvbaawNfdEaItnoPVVq0/kLl/+mnn6RHHnlEGjx4sHT66adLaWlpUkJCgtSkSRNp2LBh0ksvvcScKhQl2up9/fr10pQpU6QRI0ZIbdu2lTIzM6X4+HipUaNG0sCBA6WnnnpKOnDggGbZkkTtXW8/c80110iAb2quurqaK00st3czlEVJov7dznqPhP7dI0k6Au4QBEEQBEEQMQGthiYIgiAIgiAUIWWRIAiCIAiCUISURYIgCIIgCEIRUhYJgiAIgiAIRUhZJAiCIAiCIBQhZZEgCIIgCIJQhJRFgiAIgiAIQhFSFgmCIAiCIAhFSFkkCIIgCIIgFCFlkSAIgiAIglCElEWCIAiCIAhCEVIWCYIgCIIgCEVIWSQIgiAIgiAUIWWRIAiCIAiCUISURYIgCIIgCEIRUhYJgiBsYNq0afB4PEhMTMTKlSuZ13z11Vfwer3weDz44IMPbJaQIAiCjUeSJMlpIQiCIKIdSZIwcuRILF68GO3atcOaNWuQkZEROL9//3707NkThw8fxoQJEzB79mwHpSUIgqiHlEWCIAibOHDgAHr27IlDhw7h2muvxZw5cwAEK5Lt27fH6tWrkZ6e7rC0BEEQPmgamiAIwiaaNWuGWbNmBaaZ/dbDadOmYfHixUhISMCHH35IiiJBEK6CLIsEQRA288ADD+Cll15Ceno6/v3vf+Omm25CdXU1XnjhBTz44INOi0cQBBEEKYsEQRA2U1VVhXPPPRe//vpr4NjIkSOxYMECeDweByUjCIIIh5RFgiAIB1i/fj1yc3MBAFlZWdi8eTOaNWvmsFQEQRDhkM8iQRCEA7z55puB38XFxVizZo1zwhAEQahAlkWCIAib+eKLL3DxxRcDAHr06IG1a9eiSZMmWLt2LZo2beqwdARBEMGQZZEgCMJG9u/fjxtvvBEAcOONN+L7779HTk4ODh06hIkTJ4K+3wmCcBukLBIEQdhEXV0dbrjhBhw5cgQdOnTAP//5T2RlZeGDDz5AfHw8Fi5ciJdeeslpMQmCIIIgZZEgCMImpk+fjvz8/EA8xbS0NABA//798eSTTwIA/vKXv+C3335zUkyCIIggyGeRIAjCBlauXImBAwcqxlOsq6vDsGHDsHTpUnTs2BG//fZbQJkkCIJwElIWCYIgLKakpARnnnkmCgoKMGLECCxcuJAZT3HPnj3o2bMnjh07hkmTJuHdd991QFqCIIhgSFkkCIIgCIIgFCGfRYIgCIIgCEIRUhYJgiAIgiAIRUhZJAiCIAiCIBQhZZEgCIIgCIJQhJRFgiAIgiAIQhFSFgmCIAiCIAhFSFkkCIIgCIIgFCFlkSAIgiAIglCElEWCIAiCIAhCEVIWCYIgCIIgCEVIWSQIgiAIgiAUIWWRIAiCIAiCUISURYIgCIIgCEKR/wcwv5I2tLtkWgAAAABJRU5ErkJggg==",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -2839,14 +3505,22 @@
     }
    ],
    "source": [
+<<<<<<< HEAD
     "dataWithoutModulation2.plot.errorbar(fmt='o')\n",
     "# plt.xlim([0, 0.0075])\n",
+=======
+    "dataWithoutModulation2.plot.errorbar()\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
     "plt.show()"
    ]
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 22,
+=======
+   "execution_count": 83,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2855,7 +3529,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 23,
+=======
+   "execution_count": 88,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -2888,7 +3566,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 24,
+=======
+   "execution_count": 95,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -3260,7 +3942,11 @@
        "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;CH1&#x27; (x: 1200)&gt;\n",
        "array([0.215, 0.197, 0.195, ..., 0.194, 0.218, 0.198])\n",
        "Coordinates:\n",
+<<<<<<< HEAD
        "  * x        (x) float64 0.0 1e-05 2e-05 3e-05 ... 0.01197 0.01198 0.01199</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-131a6b69-2071-4f02-a2c2-eb85715e1ac7' class='xr-array-in' type='checkbox' checked><label for='section-131a6b69-2071-4f02-a2c2-eb85715e1ac7' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.215 0.197 0.195 0.214 0.218 0.194 ... 0.214 0.218 0.194 0.218 0.198</span></div><div class='xr-array-data'><pre>array([0.215, 0.197, 0.195, ..., 0.194, 0.218, 0.198])</pre></div></div></li><li class='xr-section-item'><input id='section-70f77e2d-ee43-4458-a27f-1c9b4df91965' class='xr-section-summary-in' type='checkbox'  checked><label for='section-70f77e2d-ee43-4458-a27f-1c9b4df91965' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1e-05 2e-05 ... 0.01198 0.01199</div><input id='attrs-8b83cd3b-8ecd-42cc-8ade-401b59cc9f50' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8b83cd3b-8ecd-42cc-8ade-401b59cc9f50' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d89fa9ac-4fc4-4e39-9d60-c3fe3df05de2' class='xr-var-data-in' type='checkbox'><label for='data-d89fa9ac-4fc4-4e39-9d60-c3fe3df05de2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 1.000e-05, 2.000e-05, ..., 1.197e-02, 1.198e-02, 1.199e-02])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-deaed0a4-9664-42d6-b0bd-d88fe7ded3dc' class='xr-section-summary-in' type='checkbox'  ><label for='section-deaed0a4-9664-42d6-b0bd-d88fe7ded3dc' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-8cc32b87-5330-4ab0-b8dd-ad991585b8c1' class='xr-index-data-in' type='checkbox'/><label for='index-8cc32b87-5330-4ab0-b8dd-ad991585b8c1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                   0.0,                  1e-05,\n",
+=======
+       "  * x        (x) float64 0.0 1e-05 2e-05 3e-05 ... 0.01197 0.01198 0.01199</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'CH1'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>x</span>: 1200</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-4a99defb-6bcc-4f2a-8e5f-4bbb8186de2f' class='xr-array-in' type='checkbox' checked><label for='section-4a99defb-6bcc-4f2a-8e5f-4bbb8186de2f' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.215 0.197 0.195 0.214 0.218 0.194 ... 0.214 0.218 0.194 0.218 0.198</span></div><div class='xr-array-data'><pre>array([0.215, 0.197, 0.195, ..., 0.194, 0.218, 0.198])</pre></div></div></li><li class='xr-section-item'><input id='section-9e33c72d-037b-460a-913c-3856531e54c6' class='xr-section-summary-in' type='checkbox'  checked><label for='section-9e33c72d-037b-460a-913c-3856531e54c6' class='xr-section-summary' >Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>x</span></div><div class='xr-var-dims'>(x)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 1e-05 2e-05 ... 0.01198 0.01199</div><input id='attrs-7f90f64b-b1e0-43a6-99d1-5ec00f1e9bdd' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f90f64b-b1e0-43a6-99d1-5ec00f1e9bdd' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c26f4d86-13a9-4b4b-994a-eb76703c1d45' class='xr-var-data-in' type='checkbox'><label for='data-c26f4d86-13a9-4b4b-994a-eb76703c1d45' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0.000e+00, 1.000e-05, 2.000e-05, ..., 1.197e-02, 1.198e-02, 1.199e-02])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-2f9c3a64-c94e-404c-8843-e883a2541e56' class='xr-section-summary-in' type='checkbox'  ><label for='section-2f9c3a64-c94e-404c-8843-e883a2541e56' class='xr-section-summary' >Indexes: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>x</div></div><div class='xr-index-preview'>PandasIndex</div><div></div><input id='index-ec8b3dcf-2466-49c6-aef3-b068b8e7aa48' class='xr-index-data-in' type='checkbox'/><label for='index-ec8b3dcf-2466-49c6-aef3-b068b8e7aa48' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Float64Index([                   0.0,                  1e-05,\n",
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
        "                               2e-05, 3.0000000000000004e-05,\n",
        "                               4e-05,                  5e-05,\n",
        "               6.000000000000001e-05,  7.000000000000001e-05,\n",
@@ -3271,7 +3957,11 @@
        "                0.011940000000000001,                0.01195,\n",
        "                             0.01196,   0.011970000000000001,\n",
        "                0.011980000000000001,                0.01199],\n",
+<<<<<<< HEAD
        "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-63e64139-1d7d-4ac8-86ac-a566ff00cff5' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-63e64139-1d7d-4ac8-86ac-a566ff00cff5' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+=======
+       "             dtype=&#x27;float64&#x27;, name=&#x27;x&#x27;, length=1200))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-6b2a0199-d7cf-4f50-b7e1-20a131c88783' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-6b2a0199-d7cf-4f50-b7e1-20a131c88783' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
       ],
       "text/plain": [
        "<xarray.DataArray 'CH1' (x: 1200)>\n",
@@ -3280,7 +3970,11 @@
        "  * x        (x) float64 0.0 1e-05 2e-05 3e-05 ... 0.01197 0.01198 0.01199"
       ]
      },
+<<<<<<< HEAD
      "execution_count": 24,
+=======
+     "execution_count": 95,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3301,7 +3995,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 25,
+=======
+   "execution_count": 96,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -3322,7 +4020,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 26,
+=======
+   "execution_count": 97,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [],
    "source": [
@@ -3331,7 +4033,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 27,
+=======
+   "execution_count": 98,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -3357,7 +4063,11 @@
   },
   {
    "cell_type": "code",
+<<<<<<< HEAD
    "execution_count": 28,
+=======
+   "execution_count": 99,
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "metadata": {},
    "outputs": [
     {
@@ -3384,6 +4094,7 @@
    ]
   },
   {
+<<<<<<< HEAD
    "cell_type": "markdown",
    "metadata": {},
    "source": [
@@ -3925,6 +4636,8 @@
    ]
   },
   {
+=======
+>>>>>>> 300875bb3e4d74a9eb72806b7c926efa68109763
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},