diff --git a/01_data_exploration.ipynb b/01_data_exploration.ipynb
index 2d7f80f..4975a4b 100644
--- a/01_data_exploration.ipynb
+++ b/01_data_exploration.ipynb
@@ -85,7 +85,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 48,
    "id": "677db567-6260-41fa-bdb9-13850c81c9dd",
    "metadata": {},
    "outputs": [],
@@ -98,7 +98,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 101,
+   "id": "afc21237-8703-4231-bdd9-818802c22f64",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "hello world!\n"
+     ]
+    }
+   ],
+   "source": [
+    "print('hello world!')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
    "id": "f9b4ad3d-958d-4b04-ac0e-5555800898bd",
    "metadata": {},
    "outputs": [],
@@ -109,7 +127,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": null,
+   "id": "ea2dd046-f82b-42c1-880f-dd72d48e6f75",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
    "id": "4e4c1340-753c-44f8-ac43-7d00fbd045f7",
    "metadata": {},
    "outputs": [],
@@ -119,7 +145,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 51,
    "id": "404790fe-fdc9-4890-ae53-497e255b3d48",
    "metadata": {},
    "outputs": [],
@@ -132,7 +158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 52,
    "id": "64fdc2e3-7dfa-44b7-96dd-79ba9994aa72",
    "metadata": {},
    "outputs": [],
@@ -143,7 +169,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 53,
    "id": "71a8c8e2-98df-4ffe-9d0d-9e613a29e618",
    "metadata": {},
    "outputs": [
@@ -166,7 +192,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 54,
    "id": "0349b603-8f6d-4858-a42e-0b65363688b6",
    "metadata": {},
    "outputs": [],
@@ -176,7 +202,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 55,
    "id": "5652d845-14b4-4b87-b249-66d85135fcf2",
    "metadata": {},
    "outputs": [
@@ -186,7 +212,7 @@
        "PosixPath('/project/informatics_lab/data_science_cop/ML_challenges/2021_opmet_challenge/Rotors/new_training.csv')"
       ]
      },
-     "execution_count": 48,
+     "execution_count": 55,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -198,7 +224,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 56,
    "id": "a8fc58fb-295a-4345-88e5-9dadc58f83b5",
    "metadata": {},
    "outputs": [
@@ -208,7 +234,7 @@
        "True"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 56,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -219,7 +245,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 57,
    "id": "c279ac65-86c2-4199-a270-5fd05147feb2",
    "metadata": {},
    "outputs": [],
@@ -229,7 +255,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 58,
    "id": "a7d75cf1-8827-4a97-bef6-a3496062319d",
    "metadata": {},
    "outputs": [
@@ -616,7 +642,7 @@
        "[20106 rows x 95 columns]"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 58,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -627,7 +653,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 52,
+   "execution_count": 61,
    "id": "2643e469-3c3a-468d-95b1-40df8aedb431",
    "metadata": {},
    "outputs": [
@@ -652,11 +678,11 @@
        "       'windspd_15', 'winddir_16', 'windspd_16', 'winddir_17', 'windspd_17',\n",
        "       'winddir_18', 'windspd_18', 'winddir_19', 'windspd_19', 'winddir_20',\n",
        "       'windspd_20', 'winddir_21', 'windspd_21', 'winddir_22', 'windspd_22',\n",
-       "       'Rotors 1 is true'],\n",
+       "       'rotors'],\n",
        "      dtype='object')"
       ]
      },
-     "execution_count": 52,
+     "execution_count": 61,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -675,7 +701,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 60,
    "id": "2fb3d1b3-6cd7-4ddb-b92b-2256e13cdea5",
    "metadata": {
     "tags": []
@@ -1051,7 +1077,7 @@
        "[17486 rows x 95 columns]"
       ]
      },
-     "execution_count": 53,
+     "execution_count": 60,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1070,6 +1096,14 @@
     "falklands_df"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "98c807b2-f48c-4cbf-8b92-9268054d62b3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "id": "4012374d-291e-47fd-a56d-ed3d6125d939",
@@ -1080,7 +1114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 54,
+   "execution_count": 63,
    "id": "8872aba2-5442-40dc-8513-1bbf8baa7e42",
    "metadata": {},
    "outputs": [
@@ -1092,7 +1126,7 @@
        "Name: rotors, dtype: int64"
       ]
      },
-     "execution_count": 54,
+     "execution_count": 63,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1114,7 +1148,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 55,
+   "execution_count": 64,
    "id": "7a9355b9-3143-43a7-8de5-bdcd8b4a3953",
    "metadata": {},
    "outputs": [
@@ -1143,7 +1177,7 @@
        "      dtype='object')"
       ]
      },
-     "execution_count": 55,
+     "execution_count": 64,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1174,7 +1208,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 56,
+   "execution_count": 65,
    "id": "5245c7a1-f6b8-4cb0-b7ec-9dbf64f9d7f2",
    "metadata": {},
    "outputs": [],
@@ -1185,7 +1219,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 66,
    "id": "8a380eb0-4467-4aec-bd94-4fff8093f157",
    "metadata": {},
    "outputs": [
@@ -1195,7 +1229,7 @@
        "(17037, 95)"
       ]
      },
-     "execution_count": 57,
+     "execution_count": 66,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1206,7 +1240,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 67,
    "id": "9c7a73b9-0067-45c4-b6ea-1bb6c35c0a1b",
    "metadata": {},
    "outputs": [
@@ -1216,7 +1250,7 @@
        "(449, 95)"
       ]
      },
-     "execution_count": 58,
+     "execution_count": 67,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1235,7 +1269,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 103,
+   "execution_count": 69,
    "id": "87ce6744-b5f5-471a-843c-ff1f786eef65",
    "metadata": {},
    "outputs": [
@@ -1268,7 +1302,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 102,
+   "execution_count": 70,
    "id": "0a4f1180-69d2-4c0e-856d-ae751f00464f",
    "metadata": {},
    "outputs": [
@@ -1308,7 +1342,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 100,
+   "execution_count": 71,
    "id": "9cfc7721-7260-4462-bf4f-27e699a59f02",
    "metadata": {},
    "outputs": [
@@ -1364,7 +1398,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 99,
+   "execution_count": 72,
    "id": "9d02ad7d-33f6-40b6-be26-3607a2f25b16",
    "metadata": {},
    "outputs": [
@@ -1405,7 +1439,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": 73,
    "id": "ae7a2943-7f53-4b9c-90b4-3ca630227312",
    "metadata": {},
    "outputs": [],
@@ -1420,7 +1454,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 97,
+   "execution_count": 75,
    "id": "94a527e9-d168-4329-a5ee-85019dc6ddde",
    "metadata": {},
    "outputs": [
@@ -1459,6 +1493,16 @@
     "Next up we want to explore the relationship between the forecast data and the observations."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "4e75acbf-0a9a-4421-b7c1-7141d106052b",
+   "metadata": {},
+   "source": [
+    "### Additional Exercises\n",
+    "* Try to plot the histogram of model data at the surface level (heigh level index 0)\n",
+    "* Plot the model surface data grouped by different times of day."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "94271903-b87e-4d7d-b67a-206630f23433",
@@ -1471,7 +1515,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": 76,
    "id": "0df0adb1-5b8e-4cee-bc62-94b1ab7baf6d",
    "metadata": {},
    "outputs": [
@@ -1481,7 +1525,7 @@
        "PosixPath('/project/informatics_lab/data_science_cop/ML_challenges/2021_opmet_challenge/Rotors/rotors_opmet_performance_2016_2021.csv')"
       ]
      },
-     "execution_count": 65,
+     "execution_count": 76,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1493,7 +1537,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 66,
+   "execution_count": 77,
    "id": "33fba922-9f72-4a3d-9cd6-14100965946f",
    "metadata": {},
    "outputs": [],
@@ -1503,7 +1547,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 78,
    "id": "56510f49-b9a7-42a7-8724-9c6d382bd6b3",
    "metadata": {},
    "outputs": [],
@@ -1515,7 +1559,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 68,
+   "execution_count": 79,
    "id": "cf845855-a8f0-4477-aa81-140b8c7bbffa",
    "metadata": {},
    "outputs": [
@@ -1695,7 +1739,7 @@
        "[38976 rows x 7 columns]"
       ]
      },
-     "execution_count": 68,
+     "execution_count": 79,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1706,7 +1750,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 69,
+   "execution_count": 80,
    "id": "5f44cd2b-8e78-4202-adc3-6ca04de34f80",
    "metadata": {},
    "outputs": [
@@ -1718,7 +1762,7 @@
        "Name: observation, dtype: int64"
       ]
      },
-     "execution_count": 69,
+     "execution_count": 80,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1729,7 +1773,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 70,
+   "execution_count": 81,
    "id": "7b410f2c-9fe8-4e83-a148-93d43fd6fcfd",
    "metadata": {},
    "outputs": [
@@ -1742,7 +1786,7 @@
        "Name: opmet_forecast, dtype: int64"
       ]
      },
-     "execution_count": 70,
+     "execution_count": 81,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1753,7 +1797,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 82,
    "id": "a84acc0b-8d11-4657-9c35-dd86f7082e3a",
    "metadata": {},
    "outputs": [],
@@ -1766,7 +1810,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 72,
+   "execution_count": 83,
    "id": "add0e52f-b894-464f-b101-d8e015a65e54",
    "metadata": {},
    "outputs": [],
@@ -1779,7 +1823,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 116,
+   "execution_count": 84,
    "id": "55f387a3-2ca8-4947-b1b0-de3d12bdf851",
    "metadata": {},
    "outputs": [
@@ -1791,7 +1835,7 @@
        "Name: observation, dtype: int64"
       ]
      },
-     "execution_count": 116,
+     "execution_count": 84,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1802,7 +1846,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 85,
    "id": "abd91668-6ee8-4647-99dd-65ba3a31b8ff",
    "metadata": {},
    "outputs": [
@@ -1847,7 +1891,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 86,
    "id": "0dff5256-4704-4f44-9ee1-b7b985fcdd4c",
    "metadata": {},
    "outputs": [
@@ -1870,7 +1914,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 75,
+   "execution_count": 91,
    "id": "27660aaa-8eb6-4169-8f95-649b02615f59",
    "metadata": {},
    "outputs": [
@@ -1915,7 +1959,7 @@
        " '/project/informatics_lab/data_science_cop/era5/air_pressure_mean_sea_level_2019_12.nc']"
       ]
      },
-     "execution_count": 75,
+     "execution_count": 91,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1927,7 +1971,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 76,
+   "execution_count": 88,
    "id": "0bdb10c5-5b5a-4a27-9dc5-e526df762bf5",
    "metadata": {},
    "outputs": [],
@@ -1939,7 +1983,123 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 77,
+   "execution_count": 92,
+   "id": "8b41788a-f1a1-437d-b8a2-cfdfd3b6c772",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "\n",
+       "<style>\n",
+       "  a.iris {\n",
+       "      text-decoration: none !important;\n",
+       "  }\n",
+       "  table.iris {\n",
+       "      white-space: pre;\n",
+       "      border: 1px solid;\n",
+       "      border-color: #9c9c9c;\n",
+       "      font-family: monaco, monospace;\n",
+       "  }\n",
+       "  th.iris {\n",
+       "      background: #303f3f;\n",
+       "      color: #e0e0e0;\n",
+       "      border-left: 1px solid;\n",
+       "      border-color: #9c9c9c;\n",
+       "      font-size: 1.05em;\n",
+       "      min-width: 50px;\n",
+       "      max-width: 125px;\n",
+       "  }\n",
+       "  tr.iris :first-child {\n",
+       "      border-right: 1px solid #9c9c9c !important;\n",
+       "  }\n",
+       "  td.iris-title {\n",
+       "      background: #d5dcdf;\n",
+       "      border-top: 1px solid #9c9c9c;\n",
+       "      font-weight: bold;\n",
+       "  }\n",
+       "  .iris-word-cell {\n",
+       "      text-align: left !important;\n",
+       "      white-space: pre;\n",
+       "  }\n",
+       "  .iris-subheading-cell {\n",
+       "      padding-left: 2em !important;\n",
+       "  }\n",
+       "  .iris-inclusion-cell {\n",
+       "      padding-right: 1em !important;\n",
+       "  }\n",
+       "  .iris-panel-body {\n",
+       "      padding-top: 0px;\n",
+       "  }\n",
+       "  .iris-panel-title {\n",
+       "      padding-left: 3em;\n",
+       "  }\n",
+       "  .iris-panel-title {\n",
+       "      margin-top: 7px;\n",
+       "  }\n",
+       "</style>\n",
+       "<table class=\"iris\" id=\"47228457930272\">\n",
+       "    <tr class=\"iris\">\n",
+       "<th class=\"iris iris-word-cell\">Air Pressure At Mean Sea Level (Pa)</th>\n",
+       "<th class=\"iris iris-word-cell\">time</th>\n",
+       "<th class=\"iris iris-word-cell\">latitude</th>\n",
+       "<th class=\"iris iris-word-cell\">longitude</th>\n",
+       "</tr>\n",
+       "    <tr class=\"iris\">\n",
+       "<td class=\"iris-word-cell iris-subheading-cell\">Shape</td>\n",
+       "<td class=\"iris iris-inclusion-cell\">26280</td>\n",
+       "<td class=\"iris iris-inclusion-cell\">721</td>\n",
+       "<td class=\"iris iris-inclusion-cell\">1440</td>\n",
+       "</tr>\n",
+       "    <tr class=\"iris\">\n",
+       "    <td class=\"iris-title iris-word-cell\">Dimension coordinates</td>\n",
+       "    <td class=\"iris-title\"></td>\n",
+       "    <td class=\"iris-title\"></td>\n",
+       "    <td class=\"iris-title\"></td>\n",
+       "</tr>\n",
+       "<tr class=\"iris\">\n",
+       "    <td class=\"iris-word-cell iris-subheading-cell\">\ttime</td>\n",
+       "    <td class=\"iris-inclusion-cell\">x</td>\n",
+       "    <td class=\"iris-inclusion-cell\">-</td>\n",
+       "    <td class=\"iris-inclusion-cell\">-</td>\n",
+       "</tr>\n",
+       "<tr class=\"iris\">\n",
+       "    <td class=\"iris-word-cell iris-subheading-cell\">\tlatitude</td>\n",
+       "    <td class=\"iris-inclusion-cell\">-</td>\n",
+       "    <td class=\"iris-inclusion-cell\">x</td>\n",
+       "    <td class=\"iris-inclusion-cell\">-</td>\n",
+       "</tr>\n",
+       "<tr class=\"iris\">\n",
+       "    <td class=\"iris-word-cell iris-subheading-cell\">\tlongitude</td>\n",
+       "    <td class=\"iris-inclusion-cell\">-</td>\n",
+       "    <td class=\"iris-inclusion-cell\">-</td>\n",
+       "    <td class=\"iris-inclusion-cell\">x</td>\n",
+       "</tr>\n",
+       "<tr class=\"iris\">\n",
+       "    <td class=\"iris-title iris-word-cell\">Attributes</td>\n",
+       "    <td class=\"iris-title\"></td>\n",
+       "    <td class=\"iris-title\"></td>\n",
+       "    <td class=\"iris-title\"><br>institution                   ECMWF<br>nameCDM                       Mean_sea_level_pressure_surface<br>nameECMWF                     Mean sea level pressure<br>product_type                  analysis<br>shortNameECMWF                msl<br>source                        Reanalysis</td>\n",
+       "</tr>\n",
+       "</table>\n",
+       "        "
+      ],
+      "text/plain": [
+       "<iris 'Cube' of air_pressure_at_mean_sea_level / (Pa) (time: 26280; latitude: 721; longitude: 1440)>"
+      ]
+     },
+     "execution_count": 92,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mslp_era5_cube"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
    "id": "ca639606-1c36-49fe-bb0d-165df7576787",
    "metadata": {},
    "outputs": [],
@@ -1949,7 +2109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 90,
    "id": "bb0622f1-8aaa-45c4-90ae-32a49edc0012",
    "metadata": {},
    "outputs": [
@@ -2004,7 +2164,7 @@
        "      margin-top: 7px;\n",
        "  }\n",
        "</style>\n",
-       "<table class=\"iris\" id=\"47677882962656\">\n",
+       "<table class=\"iris\" id=\"47228432035024\">\n",
        "    <tr class=\"iris\">\n",
        "<th class=\"iris iris-word-cell\">Air Pressure At Mean Sea Level (Pa)</th>\n",
        "<th class=\"iris iris-word-cell\">time</th>\n",
@@ -2054,7 +2214,7 @@
        "<iris 'Cube' of air_pressure_at_mean_sea_level / (Pa) (time: 26280; latitude: 101; longitude: 81)>"
       ]
      },
-     "execution_count": 78,
+     "execution_count": 90,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2067,7 +2227,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 79,
+   "execution_count": 93,
    "id": "682e953a-ff0d-42ef-a887-79002e9bfbe5",
    "metadata": {},
    "outputs": [],
@@ -2077,7 +2237,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 81,
+   "execution_count": 94,
    "id": "333ac1b6-b18b-4add-b5bf-64e9f87c4c5e",
    "metadata": {},
    "outputs": [
@@ -2087,7 +2247,7 @@
        "(27284947200, 214996680)"
       ]
      },
-     "execution_count": 81,
+     "execution_count": 94,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2098,7 +2258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 82,
+   "execution_count": 95,
    "id": "51056a2f-d335-4958-9ed0-e40bf0bb3d44",
    "metadata": {},
    "outputs": [
@@ -2153,7 +2313,7 @@
        "      margin-top: 7px;\n",
        "  }\n",
        "</style>\n",
-       "<table class=\"iris\" id=\"47677882962656\">\n",
+       "<table class=\"iris\" id=\"47228432035024\">\n",
        "    <tr class=\"iris\">\n",
        "<th class=\"iris iris-word-cell\">Air Pressure At Mean Sea Level (Pa)</th>\n",
        "<th class=\"iris iris-word-cell\">time</th>\n",
@@ -2215,7 +2375,7 @@
        "<iris 'Cube' of air_pressure_at_mean_sea_level / (Pa) (time: 26280; latitude: 101; longitude: 81)>"
       ]
      },
-     "execution_count": 82,
+     "execution_count": 95,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2226,7 +2386,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 83,
+   "execution_count": 96,
    "id": "ac3cfcc2-a840-4482-aee6-edd355f93493",
    "metadata": {},
    "outputs": [
@@ -2236,7 +2396,7 @@
        "(40.0, 65.0)"
       ]
      },
-     "execution_count": 83,
+     "execution_count": 96,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2247,7 +2407,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 84,
+   "execution_count": 97,
    "id": "92e7cea1-5a85-460e-909f-727f73a28a24",
    "metadata": {},
    "outputs": [
@@ -2257,7 +2417,7 @@
        "(-10.0, 10.0)"
       ]
      },
-     "execution_count": 84,
+     "execution_count": 97,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2268,7 +2428,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 85,
+   "execution_count": 98,
    "id": "be1c6551-9fda-4619-a936-7fd0f7c21046",
    "metadata": {},
    "outputs": [
@@ -2323,7 +2483,7 @@
        "      margin-top: 7px;\n",
        "  }\n",
        "</style>\n",
-       "<table class=\"iris\" id=\"47678066597360\">\n",
+       "<table class=\"iris\" id=\"47228432604320\">\n",
        "    <tr class=\"iris\">\n",
        "<th class=\"iris iris-word-cell\">Air Pressure At Mean Sea Level (Pa)</th>\n",
        "<th class=\"iris iris-word-cell\">--</th>\n",
@@ -2395,7 +2555,7 @@
        "<iris 'Cube' of air_pressure_at_mean_sea_level / (Pa) (-- : 4; latitude: 101; longitude: 81)>"
       ]
      },
-     "execution_count": 85,
+     "execution_count": 98,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2416,7 +2576,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 86,
+   "execution_count": 99,
    "id": "a0002d45-6ca9-4686-bb7a-c9741f80b6ea",
    "metadata": {},
    "outputs": [
@@ -2424,8 +2584,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 13min 27s, sys: 58.5 s, total: 14min 25s\n",
-      "Wall time: 21min 40s\n"
+      "CPU times: user 12min 9s, sys: 1min 32s, total: 13min 41s\n",
+      "Wall time: 15min 40s\n"
      ]
     },
     {
@@ -2492,7 +2652,7 @@
        "  dtype=float32)"
       ]
      },
-     "execution_count": 86,
+     "execution_count": 99,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2504,7 +2664,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 100,
    "id": "5acd692c-807d-41eb-93ac-1b86d59c2837",
    "metadata": {},
    "outputs": [
@@ -2529,6 +2689,16 @@
     "    ax1.coastlines()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "4e8ad1ff-c74b-4ddc-a9db-f16ee5efaf1d",
+   "metadata": {},
+   "source": [
+    "### Addtional execises\n",
+    "* try to cut out a different area, e.g. Australia 10-43S, 113-153E and do plots for that area.\n",
+    "* Try and find the average for a month and find the anomaly for that that month."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "88bcd1b7-1f3f-4448-b263-c2feb1184f22",
diff --git a/02_ml_pipeline.ipynb b/02_ml_pipeline.ipynb
index b059be5..563b1d4 100644
--- a/02_ml_pipeline.ipynb
+++ b/02_ml_pipeline.ipynb
@@ -1807,8 +1807,20 @@
   },
   {
    "cell_type": "markdown",
-   "id": "de953fb7-7d79-4422-a938-61a3a6de80cd",
+   "id": "89860f30-cf75-44ab-915c-1688baa4d4df",
    "metadata": {},
+   "source": [
+    "### Additional execises\n",
+    "* Try to train some different classifiers e,.g. a [support vector machine](https://scikit-learn.org/stable/modules/svm.html), [k nearest neighbour] (https://scikit-learn.org/stable/modules/neighbors.html), using the scikit-learn API to swap out the existing classifier for the new one.\n",
+    "* try and create a neural network with 4 layers and 200 nodes per layer."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "de953fb7-7d79-4422-a938-61a3a6de80cd",
+   "metadata": {
+    "tags": []
+   },
    "source": [
     "## Evaluation\n",
     "\n",
@@ -2190,6 +2202,15 @@
     "fig1.show()"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "10a2d29c-1db1-4abd-b457-4f6e7b7c7e33",
+   "metadata": {},
+   "source": [
+    "### Additional Exercises\n",
+    "* try and calulcate the balanced accuracy mteric for train and test sets."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "b34b80b3-24b0-47bf-9ae0-439dcc6b63dd",
@@ -3065,6 +3086,16 @@
     "pca_mslp.get_covariance().shape"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "347d3bfb-9ee2-4708-9b49-e895bf3c4012",
+   "metadata": {},
+   "source": [
+    "### Additional exercises\n",
+    "* Try and calculate the weather regimes for a different area, e.g. the western mediterranean. 36-44N 5W-12E\n",
+    "* Try and get data for a different variable e.g. temperature and find clusters in that data."
+   ]
+  },
   {
    "cell_type": "markdown",
    "id": "df1260a0-d80a-4566-a9bc-e9867904b6be",
diff --git a/03_algorithm_selection.ipynb b/03_algorithm_selection.ipynb
index 2fff824..302e2d9 100644
--- a/03_algorithm_selection.ipynb
+++ b/03_algorithm_selection.ipynb
@@ -63,6 +63,8 @@
    },
    "source": [
     "### Data Science Framework\n",
+    "\n",
+    "The following example problems in these notebooks connect to the capabilities of the Met Office Data Science Framework in the following ways:\n",
     "* Radiation emulation - Fusing Simulation and Data Science\n",
     "* XBT - Uncertainty and Trust\n",
     "* Rotors - Data to Decisions\n",
@@ -1180,8 +1182,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 2.56 s, sys: 26.3 ms, total: 2.59 s\n",
-      "Wall time: 2.59 s\n"
+      "CPU times: user 2.39 s, sys: 34.6 ms, total: 2.42 s\n",
+      "Wall time: 2.42 s\n"
      ]
     },
     {
@@ -1217,8 +1219,14 @@
    "cell_type": "markdown",
    "id": "d99691df-7b5f-4724-8415-9881f80e38ec",
    "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "15a59631-8a0f-479a-8aea-900385963a60",
+   "metadata": {},
    "source": [
-    "https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html"
+    "One of the advnatages of a decision tree is that it is relatively to interrogate the internals of the decision tree to understand how predictions are made. One can look at each decision node in the tree and see the choice of variable and threshold for each node. scikit learn provide a useful helper function to visualise the tree. In a tree of realisatic size, this becomes a very detailed diagram, so it is worth saving out the image (as is done here) and viewing in a separate image viewer so you can zoom in on the individual nodes."
    ]
   },
   {
@@ -1229,7 +1237,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 4608x4608 with 1 Axes>"
       ]
@@ -1247,6 +1255,29 @@
     "fig1.savefig('treevis.svg',bbox_inches='tight')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "58215f75-0c79-469b-801e-abf6720f3a91",
+   "metadata": {},
+   "source": [
+    "### Random Forest - An ensemble of decision trees.\n",
+    "\n",
+    "We can extend the decision tree concept further in a variety of ways. One of the most common is to use an ensemble of learners methods that combines multiple decision tree into what is called, unsurprisingly, a forest. In particular a common version is called *Random Forest*. The random in the title comes from the way trees in the forest differ from one another. Each tree ispresented with a randomly selected subset of the data\n",
+    "Here we define some of the hyperparameters for our random forest classifier\n",
+    "\n",
+    "Further reading:\n",
+    "* [scikit learn class docs](https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html)\n",
+    "* [Random forest tutorial - stackabuse](https://stackabuse.com/random-forest-algorithm-with-python-and-scikit-learn/)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "44a9d693-e63a-4682-997f-e65fd40b379f",
+   "metadata": {},
+   "source": [
+    "Here we define the hyperparameters for our random forest. These are mostly the same as for the single decision tree. The one additional hyperparameter  is `n_estimators`, which refers to how many decision trees there will be in our random forest."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 21,
@@ -1272,8 +1303,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 31.2 s, sys: 439 ms, total: 31.6 s\n",
-      "Wall time: 31.6 s\n"
+      "CPU times: user 26.3 s, sys: 500 ms, total: 26.8 s\n",
+      "Wall time: 26.8 s\n"
      ]
     },
     {
@@ -1333,6 +1364,14 @@
     "    print(f'param value {p1}={param_val}')"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "d2539510-7f4a-4e48-a0a2-7ad64a7786c5",
+   "metadata": {},
+   "source": [
+    "We can see all the individual trees in our forest. Although we can interrogate all the trees and see the decision threshold, the additional layer of combining the outputs does make it more difficult to explain a prediction from a random forest compared to a decision tree. This is comprimise we might wish to make for the increased predictive power of a random forest."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 24,
@@ -1343,45 +1382,45 @@
      "data": {
       "text/plain": [
        "[DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=783240642),\n",
+       "                        min_samples_split=5, random_state=540812249),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1213600304),\n",
+       "                        min_samples_split=5, random_state=450000501),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1700548388),\n",
+       "                        min_samples_split=5, random_state=1781815759),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1733670995),\n",
+       "                        min_samples_split=5, random_state=1137523483),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=966911648),\n",
+       "                        min_samples_split=5, random_state=2107914062),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1778676609),\n",
+       "                        min_samples_split=5, random_state=1653196120),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1558074178),\n",
+       "                        min_samples_split=5, random_state=161919871),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1981309638),\n",
+       "                        min_samples_split=5, random_state=2020675421),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1070513247),\n",
+       "                        min_samples_split=5, random_state=1028306893),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=293016242),\n",
+       "                        min_samples_split=5, random_state=766725585),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1610261095),\n",
+       "                        min_samples_split=5, random_state=1546398181),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1977910446),\n",
+       "                        min_samples_split=5, random_state=932019912),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1899988250),\n",
+       "                        min_samples_split=5, random_state=439012091),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1051928866),\n",
+       "                        min_samples_split=5, random_state=2101507615),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=729030817),\n",
+       "                        min_samples_split=5, random_state=1497591393),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=1444020518),\n",
+       "                        min_samples_split=5, random_state=1582166100),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=302441189),\n",
+       "                        min_samples_split=5, random_state=1881223401),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=198837645),\n",
+       "                        min_samples_split=5, random_state=1801655368),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=69764777),\n",
+       "                        min_samples_split=5, random_state=453307869),\n",
        " DecisionTreeClassifier(max_depth=5, max_features='auto', min_samples_leaf=2,\n",
-       "                        min_samples_split=5, random_state=532046460)]"
+       "                        min_samples_split=5, random_state=1315717370)]"
       ]
      },
      "execution_count": 24,
@@ -1406,28 +1445,36 @@
     "y_test = target_encoder.transform(xbt_test[target_feature])"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "df473882-1c75-453d-bed1-a5df54f84e9a",
+   "metadata": {},
+   "source": [
+    "One benfit on an ensemble of classifiers is we can get a pseudo-probability for our prediction, which gives a basic way of evluating the confidence of the prediction."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 26,
-   "id": "dbd16e65-53c5-456e-b7c8-05e93777e504",
+   "id": "70e07aae-ff4e-4caf-a982-ff9b85ef0534",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "array([[9.08107633e-01, 5.19127017e-03, 3.01362241e-03, ...,\n",
-       "        5.49825209e-02, 1.28831412e-02, 4.49815296e-04],\n",
-       "       [1.77452790e-01, 1.85969929e-03, 1.50889026e-01, ...,\n",
-       "        4.31181365e-01, 1.30676963e-02, 1.16221363e-02],\n",
-       "       [4.19324229e-02, 2.17106862e-04, 2.83852811e-02, ...,\n",
-       "        8.04394338e-02, 2.03561053e-02, 9.87281092e-04],\n",
+       "array([[1.50248105e-03, 0.00000000e+00, 4.48761513e-04, ...,\n",
+       "        2.44521241e-02, 3.47345222e-04, 1.48513364e-04],\n",
+       "       [1.41259846e-03, 1.47001720e-05, 1.38717208e-02, ...,\n",
+       "        3.69969236e-02, 2.99505731e-04, 2.37359430e-04],\n",
+       "       [6.31123395e-04, 2.82731948e-05, 8.52959715e-04, ...,\n",
+       "        2.54433390e-02, 3.38781634e-05, 1.80872090e-04],\n",
        "       ...,\n",
-       "       [9.40253547e-01, 3.53575420e-03, 9.37674586e-04, ...,\n",
-       "        3.59313011e-02, 6.57249282e-03, 3.45282584e-04],\n",
-       "       [2.33983031e-01, 3.87325909e-03, 5.98367872e-02, ...,\n",
-       "        3.14848937e-01, 2.43996142e-02, 3.81598771e-03],\n",
-       "       [8.47162680e-05, 5.34373581e-07, 4.90245515e-03, ...,\n",
-       "        2.96171821e-02, 3.09675965e-05, 1.48707351e-04]])"
+       "       [9.12753219e-01, 2.83489528e-03, 1.79183452e-03, ...,\n",
+       "        4.76985087e-02, 1.04069459e-02, 6.31421350e-04],\n",
+       "       [8.44180121e-01, 3.30301960e-02, 1.83307714e-03, ...,\n",
+       "        6.36231383e-02, 2.49451963e-02, 5.13642852e-04],\n",
+       "       [8.91418332e-01, 7.83389026e-04, 2.52655681e-03, ...,\n",
+       "        8.34670704e-02, 7.75012570e-03, 2.30952216e-06]])"
       ]
      },
      "execution_count": 26,
@@ -1468,7 +1515,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABHUAAAG0CAYAAAC8HhubAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAADEeUlEQVR4nOzdd3hb1fkH8O97JUvedvZOlMVIIIS9CaOFUlPaUihQ9oZCCy2jogVqWtq6LS2l4wd0scqGMopo2RnsHSDsgMMI2fGMl3Tf3x/nCMuKZMu27CvZ38/z+LHG1b2vhn2P3nPOe0RVQURERERERERE+cXxOgAiIiIiIiIiIuo9JnWIiIiIiIiIiPIQkzpERERERERERHmISR0iIiIiIiIiojzEpA4RERERERERUR5iUoeIiIiIiIiIKA8xqTPMiciWIvKqiDSKyPe9jieXiHG9iGwUkRcy2D4kIioifnv9vyJyQsL9V4jIOhFZZa9/U0Q+EZEmEdl+4J5J7yU/lx623VdEPu3jcfr0WBEpEpH/iEi9iNzVl2NncAwVkVn93EeXz0A32zWJyIz+HGs4EJGFInKqvXyMiDzSx/1k9L4QDRaei9PjuXh4n4uzTURqReRLg3CcvHttsiWx/SQi14rIpX3cD9tGRBnq8SRBQ95FABaqak41ZHLEXgC+DGCyqjb39sGqenD8sohMAXA+gGmqusbefCWAc1T1/mwE2xsishDAv1T174N97Cw5HMA4AKNUNep1MOkkfgZ62K50II4vIrUATlXVxwZi/15S1VsA3NLTdiJSDWCWqh6b8NiM3heiQcRzcXo8F+euvDgXe8ST10ZEbgDwqapeMljH7I6qnpnJdqn+FgaqbUQ0FHGkDk0DsCzdnSLiG8RYcs00ALV9aUSm2df6hEZk/La0r313Mum1G+KmAXivLw0lvnadvHwt+D4QdcFzcXo8F+euAT0X5/nrOyTaKbkUCxF1Q1X5M0x/ADwBIAagFUATgC0A3ADgGgAPAWgG8CUAEwHcA2AtgI8AfD9hH0X2MRsBvAXgQpgegvj9CtNLHr9+A4ArEq4fAuA1AHUAngEwL+G+WgAXAHgdQD2AOwAUJtz/dfvYBgDLAXwFwBEAXk56nucDuC/NazARwAMANgD4AMBp9vZT7OsSs6/N5Ske64Pp4VsH4EMAZ9vn67f3LwRwqn0NWwC4dl+32d9qX+PlCbGke52rAdwN4F/2+Z4KoALAPwB8DuAzAFcA8NntTwTwlI1vo93fwfa+XyS9739O8dxCSc/lJABvA2i0z/WMhG33BfApgB/b16IWwDEJ9wdtHB8DWA3gWgBFiY9N2PZH9rk0AngXwAEpYrscQDuADhv/KTAJ6ksArACwBsBNACqSnsspNobFaT4LF9rXciWAk5Hw2e3uOaT7LCZ+BuzlWQAWwXyW1wG4I9XfiX1fb7KfgxX2eTk9va8pns/NMJ+5Fvs6XZTutbDP9227z4dherHj+9kKwKMwfyPvAvh2N/9TFgL4FYAX7PO8H8DI7t6HHo79ZQDv2H392b5+pya+Fgnbzk2IczXM5/Er6PpZWZrifcnks3OCjXkdgJ8kHHMXAC/Z9301gN97/X+dP/n3A56LAZ6LeS7u+hx+BGAVzHlsBIAH7fux0V6enPCYhQB+DuBpG+8jAEYn3H+cjWc9gJ/Y1+VLCa/JH2DO+yvt5WBSLBfZ5/I5gG8A+CqA92A+qz9O83nOymuDNOdHAALgKrufepi/zW0AnG6P2W6P+5808SmA78N8htYB+C26tjOetvvfAPN57qkN1F376QZ0/V+T6v9Fyr8FZKltZO//EObz8RES/i74w5+h8uN5APzx+AOQ8OXGXr/BniD2tCegYgAvA7gMQADADPuP8SC7fQ2AJQBGApgC4E1k2JAEsIM9Ie0K0yg7AeZkGz+h1sJ8OZxo9/82gDPtfbvYOL9s45wE8+UzaE9CWycc81UA30rz/BcB+D8AhQDm25PFAfa+E5HwpTHFY8+E+cI5xcb3JFI0JO3lfRNfl+TXxj6H7l7napgT9TfstkUA7gNwHYASAGPta3VGQuwdAE6zr+1ZMCdbSfW+p3huoaTnUgVgJkxDYgGATQB2SHhuUQC/t6//ApgG8pb2/j/ANNZHAigD8B8Av0p+XQBsCeATABMTYpiZJr5qmGG68esnw3wRmAGgFMC/Adyc9Fxusq9VUYr9fQWmobKN3ebWpPenu+eQ8rOY4jNwG0yD0oH5vO2V5rNwE0wypMzG/h6AUzJ5X1M8r1rYxmu61wLmM/UBgK1hpuReAuAZu32JfU9OsvftANMAnNvN/5PPEl7He+LvUx+OPRqm0Xc4gAIAP4D5nG2W1LGv1ecwXxoL7fVdU31WUrwvmXx2/mbj3Q5AG+z/FwDPAjjOXi4FsJvX/9P5k58/4LmY5+LUzy2E4XUujj+HX9vnUARgFIBvwfwNlAG4CwnJQfsaLodJhhbZ6zX2vjkwSYJ97P5+b/cfT+r8DMBz9n0bA5PQ/HlSLJfBnINOg/lc3mrjmAuThJgxEK8Nuj8/HgTzOa2E+SxsDWBC8t92N58rhfk7GQlgKkw7I/HcGgXwPXvcInT/2emp/fRFPMiwvZTmb7NPbSMbUwM6/w4mIE0bhj/8yecfzwPgj8cfgNQNyZsSru8K4OOkx1wM4Hp7+UPYUQn2+unIvCF5DezJM+H+dwEssJdrARybcN9vAFxrL18H4Ko0z+kaAL+wl+fCZO2DKbabAtMzUJZw268A3GAvn4juG5JPwDZs7fUD0feGZE+vczUSerVg5mm3oWtPydEAnkyI/YOE+4rt8canet9TPLdQ4nNJcf99AM5NeG5RACUJ998J4FKYE2ozEhqEAHYH8FHy6wIzkmUNTG9qQQ+f22p0bSw9DuC7Cde3hDnB+xOeS8qGl93+n7CNQHt9i/j7k8Fz6O6zmPgZuAnAX5HQw5j8WYBpjLQBmJNw3xkwtTZ6fF9T7LcWqZM6MxJu+y9sw8hed2C+KEwDcCSAJUn7vA7AT7t5vomv4xyYHkNfH459PIDnEu4TmF7TVEmdowG8mslnJcX7kslnJ7FX+AUAR9nLi2F6ZEenOjZ/+JPpD3gu5rk49XOL/w8aLufifWHOGYXdbDMfwMakv51LEq5/F8D/7OXLANyecF+J3X88qbMcwFcT7j8IZqpfPJYWdI66KrPx75qw/csAvjEQrw26Pz/uD5PU2A12tEqqv+1uXkNF1/8X3wXweMJn9uOE+3r67KRtPyXHgwzbS8l/m+hH28i+53UwicHNEon84c9Q+WFNHUrlk4TL0wBMFJG6+A/M0N5x9v6JSduv6MVxpgE4P2nfU+w+41YlXN4E07sBu93yNPu9EcB3RERght3eqaptKbabCGCDqjYmxT8pw/j789yT9fQ6A5u/LwUAPk/Y/jqY3qa4L147Vd1kL/ap6JyIHCwiz4nIBnusr8KMpIjbqF3rHayAeX3GwPYwJ8T5P3t7F6r6AYDzYBpCa0TkdhGZmLxdGhPR9fVfAdNQSvf6pXp8uveyp+fQ3Wcx0UUwjaMXRGSZiJycYpvRML3Dyc8l8TOZjfc1+bN0dcJz22DjnGTv2zXpc3kMTEMpk32vgPmcjk5zf3fH7vKeqKoi/XuY6XuQSiafnXT/h06BacC+IyIvisghfYyBKBWeizPDc3GnfD8XA8BaVW2NXxGRYhG5TkRWiEgDTDK9MqnOVLrPZ/J5pBlmGlZ38SY+1/WqGrOXW+zv1Qn3tyDz97K3r03a86OqPgEzJfkvAFaLyF9FpDzDOFIdK/l5J97X02enN39/fT1X97ltZN/zI2FG9H0uIhER2aoPMRDlNCZ1KBVNuPwJTDa+MuGnTFW/au//HOafdNzUpH1tgjkZxCV+GfwEphcvcd/FqnpbBjF+AjMEefPgVZ+D6YnZG8B3YOZkp7ISwEgRKUuK/7MMjg/0/Nx7o6fXGdj8fWmDGSEQ375cVedmeDzteRNDRIIw02iuBDBOVSth6jxIwmYjRKQk4fpUmNd3HUyjZ25CnBWaZkUDVb1VVfeCacwozBDsTKy0j0k8fhRdG1/dPefu3suenkPaz2IiVV2lqqep6kSYHqb/k82XTF8H03OX/Fwy/UxudtgMbv8EZqpA4mevSFWfsfctSrqvVFXP6uaYya9jB8zz6u2xu7wn9oth4r6RtJ9070FPn/VMPjupd6z6vqoeDfMF7tcA7k76OyDqD56LM8Nzcad8Pxenuv98mFEtu6pqOcxUKqDr804n+TxSDDOdq7t4V2aw377o7WvT3fkRqvpHVd0RZhTcFjB1bZL30Z3kv5nE5524j54+O735++vrubpfbSNVfVhVvwwz9eodmCnVREMKkzrUkxcANIjIj0SkSER8IrKNiOxs778TwMUiMkJEJsPMwU30GkxPnU9EvgIzxzvubwDOFJFdxSgRkaqkhl06/wBwkogcICKOiExKyrzfBNOLEVXVp1LtQFU/gZk//SsRKRSReTA97z0uk2zdCeD7IjJZREYACGf4uFR6ep2TY/8cphjg70Sk3L4GM0VkQartU1gNM687EwGYuehrAURF5GCY4e3JLheRgIjsDVN08y5VdWHe56tEZCwA2PfqoOQHi8iWIrK/bbi2wjQiYsnbpXEbgB+IyHQRKQXwS5hCxJmuOnEngBNFZI5t9P00fkcGz6Gnz2L8+R1h/0YAMw1Bk5+f7RG8E8AvRKRMRKYB+CFMUc6+yOR9vhbmb3iujbNCRI6w9z0IYAsROU5ECuzPziKydTf7OzbhdfwZgLsTejp7c+wIgLkicpiY1Te+j/QjhB4EMF5EzhORoH3tdk14DUIiku581+fPjogcKyJj7Gekzt6c6WeWqDd4Lk6P5+Ku8vlcnEqZjaFOREYi4fycgbsBHCIie4lIAOaclHguuA3AJSIyRkRGw0zX6uv5tie9fW3Snh/teXhXESmAmRoVLyYOZP6ZutD+v5gC4FyYAuibyeCzk7b9lEJ3/y/Sxt2ftpGIjBORQ8UkO9tgaizxPE1DDpM61C37j/RrMHOYP4LJlv8dpgo9YOpJrLD3PYLNe+LOtY+vg5m2cV/Cvl+CKWr2Z5gvuR/AzIvNJK4XYIq3XgVTdG0Rumbwb4Yp2pauZzDuaJi5zCsB3AtTK+TRTGKAOck9DGApgFdgit71SQavcyrHwzTy3oJ5/e6G6YXIxNUADheRjSLyxx5ia4T5Qn2nPc53YArmJVpl71sJ0xA/U1Xfsff9COa9fU7M0OnHYHrdkgVhin2us/sbCzPsPRP/hHmvF8O8fq3Y/EtNWqr6X5hCgE/YWJ9I2iTtc8jgsxi3M4DnRaQJ5vU7V1U/SrHd92AaaR/CrOZwq31+ffErmAZrnYhckGoDVb0Xphf2dvvc3gRwsL2vEeZLw1Ew7+0qdBawTOdmmDn0q2CKnn4/3YY9HHsdzAo6NTDD5WfDrMiRaj+NMIUXv2aP+z6A/ezdd9nf60XklRQP789n5ysAltn39GqYWjutACAiTfZLFVG/8VzcLZ6LO+X1uTiNP8AU610HU9T4f5k+UFWXwayGdivMiJKNMLXZ4q6AWcHwdQBvwHx+ruhnvOn06rXp7vwIoBzmc78RnSt7XWnv+weAOfa8f1838dwPUxPoNZhOlH90s213baCe2k+Jz6m7/xc9/S30tW3kwIz2WgkzhW0BTA0hiMje9vxNlPfi1feJskJE9oUpDDe5h00HOo4imEJ/O6jq+17GQjRciMhCmL//v3sdC9FwxnMxEaUjIgpgtpr6SUQ0BHCkDg1VZwF4kY1IIiIiz/BcTERENMD8XgdAlG0iUgtTQO8b3kZCREQ0PPFcTERENDg4/YqIiIiIiIiIKA9x+hURERERERERUR5iUoeIiIiIiIiIKA8xqUNERERERERElIeY1CEiIiIiIiIiykNM6hARERERERER5SEmdYiIiIiIiIiI8hCTOkREREREREREeYhJHSIiIiIiIiKiPMSkDhERERERERFRHmJSh4iIiIiIiIgoDzGpQ0RERERERESUh5jUISIiIiIiIiLKQ0zqEBERERERERHlISZ1iIiIiIiIiIjyEJM6RERERERERER5iEkdIiIiIiIiIqI8xKQOEREREREREVEeYlKHiIiIiIiIiCgPMalDRERERERERJSHmNQhIiIiIiIiIspDTOoQEREREREREeUhJnWIiIiIiIiIiPIQkzpERERERERERHmISR0iIiIiIiIiojzEpA4RERERERERUR5iUoeIiIiIiIiIKA8xqUNEREREREOKiEwRkY9EZKS9PsJenyYiIRFpEZHXRGSpiDwjIluKyEH2ttdEpElE3rWXb0qx/1EJ264Skc8SrgfsNj4ReVVEHuwmzvNE5Hh7eTcRed7u420Rqba3nygif7aXqxOO9aaIHJrB7RckHO8CEXnHbrM0fmx73xgR6RCRM5JirBWRexKuHy4iN9jLh4jI5b19f4goe5jUISIiIiKiIUVVPwFwDYAae1MNgL+q6gp7fbmqzlfV7QDcCODHqvqwvW0+gJcAHGOvH59i/+sTtr0WwFXx66rabjc7F8Db6WIUET+AkwHcam+6EcDpdp/bALgzzUOvstscAeCfIuL0cHv8eGcC+DKAXVR1GwD7AJCETY4A8ByAo1MccycRmZvi9giAQ0WkON3zJKKBxaQOEdEAYk8hewqJiMgzVwHYTUTOA7AXgN+l2a4cwMZsHlhEJgOoAvD3bjbbH8Arqhq118cC+BwAVDWmqm91dwxVfRtAFMDoTG4H8GMA31XVBrtdvaremHD/0QDOBzBZRCYlPfZK+/jkGBTAQgCHdBcrEQ0cJnWIiAYQewrZU0hERN5Q1Q4AF8Ikd85LOC8CwEzbAbEcwA8B/D7dfkRkJxHpLjmTyh8AXATA7WabPQG8nHD9KgDvisi9InKGiBR2dwAR2dXuf21Pt4tIGYAyVV2eZl9TAIxX1RdgzvtHJm1yJ4AdRGRWioe/BGDv7mIlooHDpA4R0cBjT2FX7CkkIqLBcjDMOW2bpNvjnSozAZwH4K/pdqCqL6nqqZkeUEQOAbBGVV/uYdMJSEi8qOrPAOwE4BEA3wHwvzSP+4GIvAZzTjzSngO7ux0wnSeK9I5CZyfO7di8YyUG4LcALk7x2DUAJnazbyIaQEzqEBENMPYUsqeQiIgGn4jMhxkZuhtMwmNCmk0fgBk1mi17wowerYVJkOwvIv9KsV0LgC7nWFVdrqrXADgAwHYiMirF4+KjcvdW1SUZ3A7bkdIsIjPSxHw0gBNtzA/YY89O2uZmmNdpatLthfa5EJEHmNQhIhoc7Cm0YYE9hURENMBERGCmP5+nqh/DnDuuTLP5XgBSdjb0haperKqTVTUEc157QlWPTbHp2wC+6KQQkSobNwDMhjnn1WUrLgC/AvAXESm3xysXkdNFZEsAJao6SVVDNu5f2dgTn1cHbAdV0n63APBmFuMkol5gUoeIaICxp7DLftlTSEREg+E0AB+r6qP2+v8B2EpEFtjr8ZGySwH8EkDaTpM+jpTNxH/R9bx/HMxI2ddgznXHqGosi8e7BsCTAF4UkTcBLAKwCebce2/StvcgdW27fwDwJ922H0xtOyLyQPIfJBERZVFyT6GIxHsKj0mxedZ7CmFHtIjIvgAuyLSnEMBDdoTNQPYUHqmqDbbH8CiYxmWJqn5RR8euaHUUgJ8nPK8OEbkKQBjAEwn7ZU8hEREBAFT1r0gY/WqTIzsmbFLUw+P3Tbj8ErpJ+qhqdTf3LYSp+ZbqvhUisl5EZqvq+6p6VJrtbgBwQ3fHyuR2e17/jf3plqq+DmCOvRxKuL0NCaNiRWQcgCJVfaOnfRLRwOBIHSKigcWews2xp5CIiMgIw0yDzldTYRY3ICKPSNdSB0RENByJyL0ALlLV972OpS9sT+GtqnqA17EQEREREQ0WJnWIiAi2SOI4VV3sdSx9ISI7A+hQ1de8joWIiIiIaLAwqUNERERERERElIdYU4eIiIiIiIiIKA8xqUNERERERERElIeY1CEiIiIiIiIiykPJy8ESEQ2qUDhSAGAUgJH29ygAI2D+P8UAuPYnk8sNAFYDWF1bU9U4qE+EiIhoCAiFIz4AxQBKMvwtAJrtT1PC5c1uq62pahvM50JENBywUDIRZV0oHHEATAOwFYBZAMagM2EzMuly2QCFsQkmwbPK/k68nPh7ZW1NVesAxUBERJQzQuFIBYDpAEIJP/HrkwCUAggOYAhRmPNzI4DPAXyU4mcFkz9ERJljUoeI+iwUjpQA2BImeRP/2RLAbABFHobWGy6ADwC8kfDzJoAPamuqXC8DIyIi6o1QOCIAtoA5F4eweeKm0pPAekcBrERnkufDhMvLa2uqPvMwNiKinMOkDhH1yI682Q7AbgDmoDOBMwlm2PVQ1ALgLSQle2prqj73NCoiIiIrFI6MA7ArgF3s752QH4mb/lgD4GUAL9mfF3luJqLhjEkdItqMrXOzM4B97M8eACo8DSp3rAOwFMASAIsAPMfpW0RENNBC4UgxgB3RNYkz1dOgcsfnAF4A8LT9eam2pqrd25CIiAYHkzpEFG8o7o7OJM6uyJ/pU15rA/A8TIJnEYCnmeQhIqL+CoUjEwEcBHN+3gXANgB8ngaVP1phRvHEkzyLamuqGrwNiYhoYDCpQzQMhcKRQgD7A9gXJomzA4ACL2MaQloBLAbwMICHa2uqlnkcDxER5YlQOLI9gK8BOBTm3DxUpzgPtnYACwHcD+CB2pqqT70Nh4goe5jUIRomQuFIEYCDARwBoAoDt+oUdfUpgEcBPAQgUltT1eJxPERElCNC4UgAwH4wSZyvAZjibUTDxiswCZ77a2uqlnodDBFRfzCpQzSE2WlVVQAOt79LvI1o2GsEcB+AWwE8WltTFfM2HCIiGmyhcGQUzDn5UAAHgp0sXqsF8ABMkmdxbU1V1NtwiIh6h0kdoiEmFI6UAjgEJpFzMIBibyOiNNYAuBPArbU1Vc96HQwREQ0cWx/nOwC+DlMjh7VxctNGmJG19wP4b21NVZPH8RAR9YhJHaIhIBSOlMH0+B0O4CsACr2NiHrpIwC3AbiltqbqLa+DISKi/guFIw5M58rpMCNzmMjJL40wI2uvra2pes3jWIiI0mJShyiP2YKKZ8H0/nFq1dCwFKYReVttTdUnXgdDRES9EwpHJgM4xf6wRs7Q8AKA6wDcXltTtcnrYIiIEjGpQ5RnbMHjI2GSObt4HA4NHIVZQet3tTVVj3kdDBERpRcKR3wAvgozKudgcFTOUFUP4GaY0Ttc3ZKIcgKTOkR5IhSOTAdwDoCTAIzwOBwaXK8D+D3M6J12r4MhIiIjFI5MAXAqgJMBTPY4HBpcTwO4FsBdtTVVbV4HQ0TDF5M6RDkuFI7sDeAHMMUVHY/DIW99DuDPMD2EG7wOhohoOAqFIwKzIMGZMHXseG4e3tYDuBHAdbU1Ve95HQwRDT9M6hDloFA4UgAzxeo8ADt6Gw3loGYANwD4Q21N1Qcex0JENCzYKVZHAbgYwFyPw6HcowD+A+CnLKxMRIOJSR2iHGKTOacC+AmASR6HQ7nPBfAATN2dp7wOhohoKLLn5uMBhAHM8jgcyn0K4D6Y5M4bHsdCRMMAkzpEOcAue/odAJcDmOFxOJSfXgDwy9qaqvu9DoSIaCgIhSNBmI6WiwBM9Tgcyj8K4B4A1SyqTEQDiUkdIo+FwpGvA/g5gG29joWGhCUALqytqXre60CIiPJRKBzxwyxKcCm4JDn1nwvgTgCX19ZUveN1MEQ09DCpQ+SRUDiyH4BfAtjN61hoSLoLwMW1NVXLvQ6EiCgf2FGzRwOoBqdZUfa5AG4D8DMWVCaibGJSh2iQhcKRnWGSOV/yOhYa8toBXAPg57U1Veu9DoaIKFeFwpFvwoyaZQFkGmgxALfAJHfY8UJE/cakDtEgCYUjWwO4AsBhXsdCw049TCLxj7U1Va1eB0NElCtC4cgcmOT3Pl7HQsNOFMBfAfyktqaqzuNYiCiPMalDNMBC4cgoAL8BcAIAn8fh0PD2MYBLAPyrtqaK//yJaNgKhSPFAC4D8EMABR6HQ8PbagDn19ZU3eJ1IESUn5jUIRpAoXDkWAC/BzDG61iIErwKU0z5ca8DISIabKFw5FAAfwQwzetYiBI8DuC7rLdDRL3FpA7RAAiFI9NhhnMf5HUsRN24FcD3amuqNngdCBHRQAuFI9NgkjmHeh0LURptAGoA/Kq2pqrN62CIKD8wqUOURaFwxAfgBwAuB1DscThEmVgN4Kzamqp7vQ6EiGgghMKRAgDnwyxRznMz5YP3YUbtPOZ1IESU+5jUIcqSUDiyA4C/AdjB61iI+uAOAOfU1lSt8zoQIqJsCYUj+8CMnJ3jdSxEfXAbgB/U1lSt9joQIspdTOoQ9ZMttng5zAgdFkKmfLYWwNm1NVV3eR0IEVF/hMKRMQCuBHC817EQ9VM9gJ8AuKa2psr1Ohgiyj1M6hD1QygcORDAtQCmex0LURbdDZPcWeN1IEREvRUKR74J4O8ARnodC1EWvQDg+Nqaqne9DoSIcguTOkR9EApHygH8GcBxXsdCNEDWAfh+bU3VbV4HQkSUiVA4EoRZcfK7XsdCNECaYGrt3Ox1IESUO5jUIeqlUDgyH8BdAGZ5HArRYLgPppDyKq8DISJKJxSObAlTG2w7r2MhGgQ3woyobfY6ECLynuN1AET5JBSOnAHgWTChQ8PHNwAsC4Ujh3gdCBFRKqFw5AQAL4MJHRo+TgDwYigc2dbrQIjIexypQ5SBUDhSAuA6AMd4HQuRRxTAFQCqWaiRiHJBKBwpBfB/4FRoGr5aAZxXW1N1ndeBEJF3mNQh6kEoHJkLM91qa69jIcoBDwE4tramaqPXgRDR8GWnQt8BYAuPQyHKBXcAOL22pqrB60CIaPBx+hVRN0LhyPEwqw0woUNkfBXAS6FwhNMciMgToXDkewCeAxM6RHFHAnglFI7s5HUgRDT4OFKHKIVQOFIEs7rVyV7HQpSjWgCcVltTdYvXgRDR8BAKR0YA+CdMrS8i2lw7gB/V1lT9wetAiGjwMKlDlCQUjmwBM91qntexEOWBPwE4v7amqsPrQIho6LKjAx8AMNXrWIjywAMAjuN0LKLhgUkdogShcOQwADcAKPM4FKJ88hSAI7jsORENhFA4ciCAu8FzM1FvvA7gq7U1VZ95HQgRDSzW1CGyQuHI92FG6LDRSNQ7e8HM5d/T60CIaGgJhSMnAYiA52ai3poH4LlQOLKN14EQ0cDiSB0a9kLhiACoAXCR17EQ5bkOAOfU1lT91etAiCj/hcKRywFc5nUcRHmuHsA3a2uqnvQ6ECIaGEzq0LAWCkcKYIouHut1LERDyCW1NVW/8DoIIspP9tz8NwAneB0L0RDRDuBkLm5ANDQxqUPDVigcKQVwD4ADvY6FaAj6PYALamuqeJIhooyFwpFymPo5X/Y6FqIhRgH8pLam6ldeB0JE2cWkDg1LoXBkHMwc/R29joVoCLseZtnzmNeBEFHuC4UjkwA8BK4+STSQrgHwPZ6biYYOJnVo2AmFI7MAPAxghtexEA0D9wI4uramqs3rQIgod4XCkW1hEjqTvY6FaBj4D4CjamuqNnkdCBH1H5M6NKyEwpGdYUbojPE6FqJh5HEA36itqWryOhAiyj2hcORLMNOhy72OhWgYeQHAIbU1VWu9DoSI+odLmtOwEQpHvgrgSTChQzTYDgDweCgcGel1IESUW0LhyLdhRugwoUM0uHYB8GwoHJnpdSBE1D8cqUPDQigcORrATQD8XsdCNIy9BeDA2pqqz7wOhIi8FwpHvgHgLvDcTOSljwHsXVtT9bHXgRBR3zCpQ0MeG41EOaUWwJdra6o+8DoQIvJOKBz5CoD7AQS8joWI8AGAfWprqj73OhAi6j0mdWhIC4UjB8IUg2OjkSh3rAZwQG1N1TKvAyGiwRcKR/aDqW9X5HUsRPSFtwAsqK2pWud1IETUO0zq0JAVCkf2glnlqtjrWIhoM58B2IPDvYmGl1A4sgeARwCUeB0LEW3mNQD71dZU1XkcBxH1Agsl05AUCkd2hOkFZEKHKDdNAvBIKBwZ7XUgRDQ4QuHITgD+CyZ0iHLVfAD/DYUjpV4HQkSZY1KHhpxQODIXZoQOV9Igym1bAniIjUeioS8UjswDz81E+WA3AA+GwhFOjyTKE0zq0JBil2V8FMAor2MhoozsDODeUDjCuldEQ1QoHNkawGMARnodCxFlZAF4bibKG0zq0JARCkcmA3gcwASvYyGiXvkSgJtC4QjPSURDTCgcmQVzbh7jdSxE1CsHAbgjFI5w9ViiHMcGNA0JoXBkLEwv4DSvYyGiPjkSwNVeB0FE2RMKR6aBnS1E+ewbAG5mpwtRbuMfKOW9UDgyAmbK1ZZex0JE/XJOKBy5zOsgiKj/Es7NU72OhYj65SgAf/U6CCJKj0kdymt2SOi9AOZ5HQsRZcXloXDkTK+DIKK+C4UjPgB3AJjtdSxElBWnhMKRsNdBEFFqTOpQvvs9TDE3Iho6/hIKRw73Oggi6rPfAviy10EQUVb9MhSOHOp1EES0OVFVr2Mg6pNQOHIigOu9joOIBkQbgC/X1lQt8ToQIspcKBw5HsCNXsdBRAOiCcCetTVVr3sdCBF1YlKH8lIoHNkFwGIAQa9jIaIBsxrAjrU1VZ95HQgR9cyemxcBKPQ6FiIaMCsA7FxbU7XW60CIyOD0K8o7oXBkHIB/gwkdoqFuHIB7QuEI/9aJclwoHJkAU+OOCR2ioW0agHtD4UjA60CIyGBSh/JKKBwpAHAPgElex0JEg2JXAH/2OggiSs8mXv8NYKLXsRDRoNgTwJ+8DoKIDCZ1KN/8CeZEQkTDx6mhcOQMr4MgorSuAbCb10EQ0aA6PRSOnOx1EETEmjqUR0LhyGkA/up1HETkiXYAC2prqp7zOhAi6hQKR74P4Gqv4yAiT7TCFE5+xetAiIYzJnUoL4TCkd0BLATA+btEw9cnAObX1lRt8DoQIgJC4cj+AB4G4Pc6FiLyTC3MogY8NxN5hNOvKOeFwpGJMHV0mNAhGt6mALgxFI6I14EQDXehcGQ6gDvBhA7RcBcCcGsoHOH3SiKP8I+PclooHPEBuBvABK9jIaKccAiAC7wOgmg4s+fmWwGM8joWIsoJBwG41OsgiIYrJnUo1/0IwO5eB0FEOeWXdkomEXnjIrAwMhF1dUkoHNnR6yCIhiPW1KGcFQpH5gF4EZx2RUSbY30dIg+EwpFtAbwEnpuJaHPLYOrrtHkdCNFwwpE6lJNC4UgBgBvBRiMRpTYFwLVeB0E0nNhz803guZmIUpsL4HKvgyAabpjUoVx1KYD5XgdBRDntiFA48g2vgyAaRn4KnpuJqHsXhMIRTs8kGkScfkU5JxSO7ATgWXBFDSLq2UoAc2prquq9DoRoKAuFI7sAeAaAz+tYiCjnvQtg+9qaqhavAyEaDjhSh3JKKBwJwky7YkKHiDIxEcCVXgdBNJSFwpFCmHMzEzpElIktAfzC6yCIhgsmdSjX/AzAHK+DIKK8cmooHNnf6yCIhrBfAdjK6yCIKK+cGwpH9vY6CKLhgNOvKGfYJYqfApONRNR7ywHMq62p2uR1IERDSSgcWQDgSQDidSxElHeWA9iutqaq2etAiIYyfnmmnBAKR4oA3AB+Jomob2YC+LnXQRANJaFwpBTA9WBCh4j6ZiaAX3sdBNFQxy/QlCtqAGzhdRBElNfOtcVciSg7fg9gutdBEFFe+y6nSBMNLE6/Is/Z+baLwJ5AIuq/NwHsUFtT1eF1IET5LBSO7Asz7YqIqL9WANi2tqaq0etAiIYijtQhT4XCER+AP4EJHSLKjm0AXOx1EET5LBSOODCjdIiIsmEagEu8DoJoqGJSh7x2GoDtvA6CiIaUn4TCEa6iR9R3JwDY3usgiGhIOTcUjkzzOgiioYhJHfJMKBypBAubElH2BQBc53UQRPkoFI6UAPiF13EQ0ZATBPArr4MgGoqY1CEvXQ5gtNdBENGQtFcoHDnU6yCI8tCPAEzwOggiGpKOCoUjO3sdBNFQw6QOecJOjfiu13EQ0ZD2S1sbhIgyEApHJgM43+s4iGjIErBeF1HWsbFLnri+4DffG4n6eq/jIKIhbS6A470OgiiP/BJAsddBENGQtlcoHDnM6yCIhhIuaU6Dr7riQAAPq6L+jth+r10aPWn3DvgDXodFREPSJwC2qK2pavU6EKJcFgpHdgLwArgaJRENvPcBzK2tqerwOhCioYAjdWhwVVc4AH4NACKoOMr/5IK3gietOsH38HMeR0ZEQ9MUAGd7HQRRHvg9mNAhosExGyzDQJQ1HKlDg6u64ngAN6a6q16LXz+9/Yf+53UOlyImomzaAGBGbU0Vp3wSpRAKR74F4G6v4yCiYWU9gFm1NVV1XgdClO84UocGT3VFIYAr0t1dIZvm3R64YutHAxc+M1nWrhzEyIhoaBsJ4CKvgyDKRaFwJADgN17HQUTDzigAl3gdBNFQwKQODaZTYaZCpCUCme18tseSwLkj/lbwu0UlaGkapNiIaGg7LxSOcJlmos19H8AMr4MgomHpe6FwZLrXQRDlOyZ1aHBUVxSgFz3lIij6su/lBa8HT225wH/HEgdubACjI6KhrxjAT70OgiiXhMKRcgA/8ToOIhq2AgBqvA6CKN8xqUOD5Xj0MEonFZ/omHP89++9LHjyh1XOcy8PQFxENHycEgpHtvA6CKIc8l0AlV4HQUTD2hGhcIT1NIn6gUkdGnjVFT4A4f7sokjaZ/8l8Mcdnwue/dLWsmJ5liIjouHFD+AXXgdBlAtC4UghgPO8joOIhj0B8EOvgyDKZ0zq0GD4NoBZ2djReNm400OBi6fdE/jp4lGoX5eNfRLRsHJ4KBzZ2usgiHLAyQDGeR0EERGAY0PhCP8fEfURkzo0sKorBMCPs7lLEfh3dN7f56XgWQW/9v91UQAdbdncPxENeed6HQCRl0LhiB/AhV7HQURkBQGc43UQRPmKSR0aaF8HsM1A7FgEFUf6Fy5YFjx5zUm+/z47EMcgoiHpuFA4MsLrIIg8dBSAkNdBEBElOCsUjhR7HQRRPmJShwbagK+qUSCxKT8tuHn3pcFT39jDeXPZQB+PiPJeMYDTvQ6CyCtfc575ltcxEBElGQXgRK+DIMpHoqpex0BDVXXFgQAeHsxDqkKX68RnT+q4aNonOnbSYB6biPLKJwBm1NZURb0OhGhQVVccBOB/mzT4zh+i31r/j9jBu8bg83sdFhERgA8AbFlbU+V6HQhRPuFIHRpIFwz2AUUgs5yVeywOnDfqHwW/XVSClsbBjoGI8sIUAN/0OggiD/wQAIqlbasfF9y657vBE1b9zH/9ohK0NHkdGBENe7MAHOp1EET5hkkdGhjVFbMAfMmrw4ug8ADfqwveCJ7aepH/9iUO3JhXsRBRzjrP6wCIBlV1xVwABybe5Bd38vH+Rxe8GTwl9o+C3y4cjw2rPYqOiAjwoFOYKN8xqUMD5XQA4nUQjuiY7/of2Put4EkfHuI8+7LX8RBRTtkjFI7s5HUQRIPovHR3iKDiAN+r+z4bPGdEJHDxU3OkdvkgxkVEFLdnKBzZ1esgiPIJa+pQ9lVXBAB8BmC016EkW62VL53UftGItzQ00+tYiCgn3FJbU3Ws10EQDbjqihEAVgIozGRzVegqjHzp0o4TA4+5O203sMEREXVxd21N1RFeB0GUL5jUoeyrrvgOgFu8DiMdVcRe1VnPnNZ+/tbrUZFziSciGlQdAKbV1lR97nUgRAOquuIcAH/qy0ObtPCt30WPqL8xdtAuLhxfliMjIkoWAzC7tqbqI68DIcoHnH5FA+FMrwPojgh8Ozgf7P1S8KzAb/zXLgygo83rmIjIMwUAvut1EESD4KS+PrBUWuf8tODm3d8NnrDyMv9Ni4rR2pzNwIiIkvgAfM/rIIjyBUfqUHZVV8wBsMzrMHqjQ32f1kSP/uQfsa/u7nUsROSJtQCm1NZUMcFLQ1N1xTwAS7O1O1ex8VF3x9cv7Th5zhqMGJOt/RIRJVgFYHJtTRUXOyHqAUfqULbl9CidVAokNvnSgn/t/nrw1Df2dN580+t4iGjQjQHwLa+DIBpAJ2dzZ45gxEG+lxc8Hzy77P7AJUu2lI85RYKIsm08gP29DoIoHzCpQ9lTXVEE4Divw+irctm07S2BX27zeOD8Z6fK6k+9joeIBtVRXgdANCCqKwoAHDMQuxZB4XbOh3v/LxAOPR383gv7Oq+9PhDHIaJh6zteB0CUDzj9irKnuuIEADd4HUY2qKL1SXf+89/vOGf7JhSXex0PEQ24dgDjamuq6rwOhCirqisOA3DPYB2uQYve/G30yKZ/xb60i8Jh5yER9UcDzLm51etAiHIZT7aUTUMmmy6Cwv19ry14PXha24/8ty1x4HI+L9HQFgDwTa+DIBoAWZ161ZNyadnm5wU37PZu8IRPfuy/ZXEh2loG8/hENKSUAzjE6yCIch2TOpQd1RWjMATnvTqiY87y/2fvt4InfXSo8/TLXsdDRAPqSK8DIMqq6ooJAL7ixaEDEpt2uj+yz1vBkzf9peDqhSNRv96LOIgo7w2ZTmOigcLpV5Qd1RWnAvib12EMtNVa+fLJ7RdWLNPps7yOhYiyLgpgQm1N1TqvAyHKiuqKiwD82uswAEAVLa/qrBcv7Dhj2nKdNM3reIgob7QBGM/p0UTpcaQOZcu3vQ5gMIyTuh0fDPxk+r2BSxePRt1ar+Mhoqzyg6tg0dCSMz3cIijawflgn8cCF05ZHDjvOa42SUQZCoLnZqJuMalD/WemXu3ndRiDRQS+7Z3l+7wY/G7h7wquWRREO4u3EQ0dnIJFQ0N1RQjAdl6HkUwEzlRnzW63BH65zdLgqa8f5XvieYDDxomoWzmToCbKRUzqUDYcBtPDPayIoOxbviULlgVPXneqL/KM1/EQUVYsCIUj470OgigLDvU6gJ5UyKZ5NQV/3/W94Am1F/pvX8JOEiJKY99QODLR6yCIchWTOpQNR3gdgJf84k6+pOCWPV4PnvLmXs4bb3gdDxH1iwPgcK+DIMqCr3sdQKYCEp1+tv+Bvd8OntT4x4I/LRyBhg1ex0REOcUBcJTXQRDlKhZKpv6prhgN4HMMw5E66Xzojn/2pI6LpqzQ8ZO9joWI+uTp2pqqvbwOgqjPqitGAFiDPD03q2LTi7rlixd1nD6jVidM8ToeIsoJL9fWVO3kdRBEuYgjdai/vok8bTQOlBnOqt0XBn445vqCXy8qxaYGr+Mhol7bIxSOMClL+eyryONzswiKd3HeXfBk4PyJTwZ+8Oyu8tZbXsdERJ7bMRSOzPA6CKJcxKQO9ddhXgeQi0QQ3M+3dMHrwdPaL/bfstiBG/M6JiLKmGCYrOhHQ1beTL3qjgh8053Vu98RvGLOq8HTlx7uW/QCiyoTDWtf8joAolzEpA71XXVFAMA+XoeRyxzR0Wf4I/u8FTyp9pvOkpe8joeIMvYVrwMg6hNzbh5yn98R0rTdlQXX7fJu8MQPf+C/66kAOtq8jomIBt3+XgdAlItYU4f6rrpiXwBPeh1GPlmjFS+f0n5h+Rs6Y7bXsRBRt5oBjKitqerwOhCiXqmuOAjA/7wOY6DFVNbc5+711uUdx23fgNIKr+MhokGxFsC42poqfoElSsCROtQfHALZS2OlfscHApfMuD9wyZKx2LjW63iIKK0SALt4HQRRHwyJqVc98YmO/ZZvyb5Lg6f7biv4+aKpsvpTr2MiogE3BsC2XgdBlGuY1KH+YFKnD0Tg2875cO/ng2cX/r7g/xYF0d7qdUxElNJ+XgdA1AdDbupVd0RQurvv7QWLAj8Y/1jg/Gd2knff9jomIhpQnIJFlIRJHeqb6ooKAFxWsB9EUHaY76kFy4Inrz/d9+AzLP5IlHP29ToAol6prpgEYLrXYXhBBP5Zzud73B28fOuXg2e8+g3nKdaxIxqaDvA6AKJcw5o61DfVFd8AcK/XYQwljVq07Lsd57pL3HkcVkqUG1oAVNbWVLV7HQhRRqorjgJwm9dh5IpWLXj/z9FvrL429rVdo/AXeB0PEWVFI4CRtTVVUa8DIcoVHKlDfcUseZaVScvcmwM12z4Z+MGzIfn8E6/jISIUAdjV6yCIeoErUiYolI7ZFxTctde7wRPX/dp/3cIyNNd7HRMR9VsZOFuAqAsmdaivWE9ngEx3Vu/+ZOD8sTcW1CxiA5TIc6yrQ/lkb68DyEU+cScc6V+07+vB05ybC365aLKsXel1TETUL+xcJkrApA71npmzv5XXYQxlIggu8L2+YGnw9OhP/P9a7EOMQ0yJvLGv1wEQZaS6YiSAuV6HkctEULa3780FSwLnjnk4cNHT8+WDd72OiYj6hEkdogSsqUO9V13xHQC3eB3GcNKmBcsv7jhlw7/dfXb2OhaiYaYVpq5Om9eBEHWruuJrAB7wOox8s1YrXq7uOAERd7cdvY6FiDLWCmBEbU0VV5AlAkfqUN9wHusgC0rHzN8Hrt35xeBZL8+T5e97HQ/RMFIIYDevgyDKAKde9cEYqd/xL4E/7vhW8MR3z/Q98DRHxhLlhUIAe3odBFGuYFKH+mIHrwMYrsZI/Y73By6d+UDgJ0vGYuNar+MhGiZYV4fyAZM6/VAs7VuGC27f893gCWt+4f/7ohK0NHodExF1i+dmIotJHeqd6goBsL3XYQxnInDmOR/t/Xzw7KKrCv6ysBBtLV7HRDTE7et1AETdqq4oBsDpQ1ngF3fiMf4nFrwZPMW9vuDXCydg/SqvYyKilPh9hMhiUod6azaAcq+DIEAEpd/0Pb3vm8FTNp7pe+AZgAWyiAbIdl4HQNSDHQAUeB3EUCKCiv18S/d9Jvi9Uf8NhJ/aVj7k1Gei3LKN1wEQ5Qomdai32BOYY/ziTgwX3L7Hm8FT3t7Xee11r+MhGoIqQ+HIRK+DIOrGtl4HMFSJoGBr5+O9/hO8ZPZzwbNfOsh58TWvYyIiAMDUUDjCjmYiMKlDvcd6OjmqVFrn3BD4zbxFgfOemy4rP/Y6HqIhhktFUy5jj/UgGC8bd7oucNX8ZcGT3z7VF3nGgRvzOiaiYY7/+4jApA71Hkfq5LhpzprdnghcMP6mgl8tKkNzvdfxEA0Rc7wOgKgb/GIziEqkdetLCm7Z473g8Z9f7r9hUQlamryOiWiY4v8+IjCpQ71hiiRzpE4eEEFgH98bC5YGT49e4r95MZdoJeo3jtShXMbPpwf84k4+wf/IgjeCp0T/XvDbheOwYY3XMRENM0zqEIFJHeqdmQAqvA6CMueIjjrV/9993gqe9PHhvkUveh0PUR7jSB3KTdUVEwCM8jqM4cwRVH7J9+q+zwXPqfhP4MdLtpYVy72OiWiYYFKHCEzqUO/M8zoA6pugRGdcWXDdzi8Fz3xlO/ngPa/jIcpDHAlBuYpFknOECILbOrV7PxS4eMYzwXNeOMB5eanXMRENcUzqEIFJHeqdWV4HQP0zWhp2uC9w2az/BH68hMPEiXqFK2BRruKXmhwjApkoG3b5R+B3270RPGXZCb7/PcuiykQDYkwoHBnrdRBEXmNSh3pjhtcBUP+JwNnWqd37ueA5xVcX/GlRIdpavI6JKE9wChblIiZ1cliZtMy9vOCm3d8NnvDZJf6bFxehbZPXMRENMfwfSMMekzrUG0zqDCEiKP2679kFbwZPqTvLd//TgKrXMRHlOE7BolzELzR5oEBiU0/1/3efZcGTW68tuGrhaNSt9TomoiGC/wNp2GNSh3pjptcBUPb5xZ3wo4I79nwzeMrb+zmvcv4/UXpM6lAu2trrAChzjujIr/he3PfF4HfL7gtcumQL+eQjr2MiynNM6tCwx6QOZaa6wgdgqtdh0MApldY51wd+u92iwHnPzZCVK7yOhygHcfoV5ZbqihEASr0Og3pPBIXzneV7Pxz40bSngt9/YR9n6etex0SUp5jUoWGPSR3K1FQAfq+DoIE3zVmz2+OBCyb8q+CXi8rRVO91PEQ5hCN1KNdM8joA6h8ROJNl3S43BX497/XgqW8c43vseYHreh0XUR6Z7XUARF5jUocyxXo6w4gIAnv53lzwWvCM2E/9Ny72IRb1OiaiHFAZCkdKvA6CKAGTOkNIuWza9hcF/9z13eCJH1/sv3UJFzIgysjIUDji8zoIIi8xqUOZYlJnGHJER57kf3ift4InffJt35MveB0PUQ4Y43UARAkmex0AZV9AoqEz/A/u/Vbw5OY/F1y9cCTq13sdE1EOcwCM9joIIi8xqUOZYpHkYSwo0em/KfjbLi8Hz3h1e3n/Xa/jIfLQWK8DIErAkTpDmCM6+hDf8/u+HDyr+J7ATxez3h1RWjw307DGpA5laprXAZD3Rknj9v8O/HR2JHDxU+OxYbXX8RB5gCN1KJcwqTMMiKBoR+f9fR4PXDBlUeC85/Zw3lzmdUxEOYZJHRrWmNShTPGLDAEwRR3nOiv2ejZ4TukfC/60qAhtm7yOiWgQ8X8h5RJOvxpGROBMc9bsdmvgl3NfC572upkWrep1XEQ5gEkdGtaY1KFMjfQ6AMotIig51PfsgjeCp9Sf7bvvaTYsaZhgUodyCUfqDFOV0jzvNwV/2+Xd4AkfXeC/Y0kAHW1ex0TkIZ6baVhjUocyxaQOpeQXd8KFBXfuuSx4yjv7O68s9ToeogHGhiPlEiZ1hrmgRGec479/77eDJzb8oeDPiyrRuNHrmIg8wJE6NKwxqUOZGuF1AJTbSqR1638GrtxuceDc52bKZyzmSEMVG46UG6orguCKL2T5RMd8w/fMgleDZwTuCPxsUUg+/8TrmIgGEc/NNKwxqUM9q67wAyj3OgzKD1Odtbs9Frhw4q0FVyyqQFOd1/EQZRlH6lCuqPQ6AMo9IijZ1XlnwZOB8yc+Efjhs7vI2295HRPRIGBSh4Y1JnWyRET2EpGT7OUxIjLd65iyiKN0qFdEULCH760FrwZP12r/DYv9iHZ4HRNRljCpk0eG+Lm5xOsAKHeJwDfDWbX7ncGfz3klePrSbzmLX2TtOxrCmNShYY1JnSwQkZ8C+BGAi+1NBQD+5V1EWcd6OtQnjmDEif5H9nkrePKnR/qeeMHreIiygEmdPDEMzs1M6lBGRkrTdr8LXLvzO8ETPzzPf/dTBYi2ex0TUZYxqUPDGpM62fFNAIcCaAYAVV0JoMzTiLKLSR3ql4BEp/+64O+7vBw849Ud5L13vI6HqB/YcMwfQ/3czKQO9UqhdMw8z//vvd4JnrDxyoJrF5ajqd7rmIiyhOdmGtaY1MmOdlVVAAoAIjLUGlpM6lBWjJLG7e8JVG/xUCD81ASsX+V1PER9UBwKR4q9DoIyMtTPzUPt+dAg8YmOO9y3eN+lwdN9txZcsWiKrPnM65iI+qksFI4Ueh0EkVeY1MmOO0XkOgCVInIagMcA/M3jmLKJNXUoa0TgzHE+3uuZ4PfK/lJw9aIitG3yOiaiXqrwOgDKyFA/NzO5SP0igtI9fG8tWBw4b9xjgQue4UhaynNMdNOwxaROFqjqlQDuBnAPgC0BXKaqf/I2qqxi5puyTgQlVb7nF7wZPKX+e75/P80CjpRH/F4HQD0bBudmfoGhrBCBf5azco9/B6u3eil45itfc555yeuYiPqA52YatvjhzxJVfRTAo17HMUD4OaEB4xN3wvkFd0840/+ft8/rOLvtUXen+V7HRNQDn9cBUGaG+LmZSR3KutHSsMOfAn/Gb/Sv7/85+o3V18UO2TUKf4HXcRFlgN9XaNjiSJ0sEJHDROR9EakXkQYRaRSRBq/jyiKezGnAlUjb1n8L/H7+U8HvvzBbPq31Oh6ibvSr4SgiU0TkIxEZaa+PsNeniUhIRFpE5DURWSoiz4jIliJykL3tNRFpEpF37eWbBvsYInJVwnbviUhdmhiKRGSRiPhExBGRP4rImyLyhoi8GF9eXERq7W1LReQRERmfsI+lInJb0n5vsM8lHv8BIvKThJhi9vdHIrLGnptb7O0xEXlBRPZK2N9CEXkp4fpOIrLQXt5WRG7o1Rs8eJjUoQFTJO2zLyy4c693gieuq/H/bVEpNg2ldi0NTTl9bhaRUQnbrhKRzxKuB+w2PhF5VUQe7CbO80TkeBH5i33sWwmxvSYih4vIbiLyvL3+tohU28eeKCJ/tpcdEblRRP4pIpLB69Nt/PY8vExEXre37WofVysioxP2s2/8+dl41trt3xGRHyRsd4OIHJ4UQ5P9HRIRFZGfJ9w3WkQ6Ep5ftYhckOJ5bGnP+/HX5q8JcdUnPKfXRORLKY77ZsK+ThORV+xnZbN4E7a7wD6/N+3n5/ieXu+Ex14pIvv3tB2TOtnxGwCHqmqFqparapmqlnsdVBYx802DZrKs2+WRwEWTbiu4YnElGuu8jocohWyM1KkAcJW9/Ht01umZDCCYsN04ADVJjy1K2qYLERkF4D92m09F5DMA79vrnwN4CkC8AdcB4EYAP1bVh1V1vqrOB/ASgAdtbI2JDUcA+9nHXmGP056q4QjgfwD+DVOoeCGArwGYp6rbwqxMVZcQ9n6qup097s/i+wMwB8C3ExqJAQDzYM5LDkxi43pV/QWASgBfAtBin0MAwFsAjgGwGsBGAG/ALEv/H+lMHm0FYJqIHJwQz972dyOAE0Tk6oTXN1cajkzq0IDzizvhKP+TC94InoqbCn61aBLWfu51TERp5PS5OUmp/YmbLiKvAfgYQAjAQSJyXvKDRMQP4CJ0/Q5fkOK4d6Br3bUx9vdeAPaxSZxr0Xmu663k+HcFcAY62xY+APFEzmR0XXRnPoCdE+KJ78cB8HMRmZJw325Jx42f9ybb36cl3HciTNtgH3t9XwALUsT+dwCjEq7Ha8fOR/padYnHnQUAInIcgJ+i83OXKl6IyJk2zvh75thtM1UOk2voFr+sZ8dqVX3b6yAGEKca0KASQcHuvrf2ecU5o+7m2JcX/zx63O4c/k05pF//E1X1ExH5DYALbaPt6wB+r6orbGOm3SYlICJ3A5ijqg8DeNjeVgfgUlW9Oc3+1wOYLyIFAD6FSZTMArC9qrbbDrmPEo5xIUzCI5HALAf+I1W9yW4XAvBg/HH2tpsBnKeq14mID6Z2TdwWAO6HaTiW2se6NsZP07w8iwF8X1Xn2x643WAb2ap6m4jsDtOo+r6q3i4ikwB8kGZfGwA0AfgRTAO3RFXPsUmvTwBcDOBcu+0DAC4B8N8U+1kP4PCEbY8AsCzNMRP90cZ9P2BG/STct0RVD8lgH/GG4/cA7K+qG6WzQzWQyeOJskEE5fv43ljwlHNux3s6+emLOk4fs1RnbeF1XEQJ+vW9drDOzXbbhQAaVfVr8ftF5BCYTpZfwXSq3JtiN1+CqXX6L1W9wT5uLwCPJZ2b7wBwgKouTHFuBoCr7b6eB3CqXSmyp9cnbfwiEoY5z89W1TYxI3MyPUe9b8/5owCsArAdzDm6J+0AAiKyk6q+BOB0mI6rnswH8FNV/b2NPfHcvCHxdUxHRL4N8z41wLzOiefmZL8E8CaAQ1S1QUQqAHzD7ucAAFfCfHZfBHCWqrYlPf4XAN4QkfGqmnblYCZ1suMl+8dzH4Av3ghV/bdnEWVXj0PyiAaCI6g8wf/oPkf7nqy9JHrC5w+17THVKfBJFC7gKCAqKlARQEShIqIqUDhwASjsnSpwIQDE3AbHrnHsAPx8U+9lY5Tr72AaIFcBWIGuvTAB22NXBtO7dle6nYjITgDOVNVTk+9T1Q4ReQTAsQAOVNX2hLtDCccohullS1QJ4B1VjXZz7GkwvYP32+PFYEbGACbxVQ7ghzA9Yt8EsEhE9gbwOEyD9NUUuz0EZjQNABwJIALTQ3Y0gNsATIA5z8bj2hmpG74A8C6APWwcbwGYIiKHqeq/ReQTmBE/idtOF5H9YEbnJGpA14bjkQDuBDAxzXHjJsAk1QAAqvpGN9umZBuOYZhG47qkuzt6uz+i/hJBwZby6Z73By/DGq14+ZKOE/Wp9u0m+hETEQcCAcSBA1GIIwIH8S87AjNsD1AoOk++qb5NmvsVai9ql/s0YV+d2yY/PtU+7bFVNttnYmMgdXzpb/tiT2xPeMi1jbp+GvBzczf+ADMKZz8Am1R1RYptjgHwXnfnZqsdwH0i8iTMqNkbE+7bAmYUzXMAjot3tvTTxzDn/TdE5DEAd6jqol7uowQm7roMt1eY9sK5InIxzHvyOMzz604dgMtF5MsAHgFwfcJ9I+17HPctVV2e9PgCmJU0V8F0tiSfm78gImUw7amTVLUBAFS1HsCNIlII065ZByAGM8LoHJjPYOeTNEnFNgBVAP6R7lhM6mRHOYBNAA5MuE1hhp0PBVyViDwVkGjohJKbO1b6Hl17/MLKjcXOOF9L2biGlrJRbW0l5YgGC8VxXIjT5vj8rs/x++HzO3B8ppYH/OqLOR0Sc6KxmHRozOlQ1+lATKJwnSiicCUqrqjEJOqoqKgTg+tzHfUp4MABIKoQdeFoPEekIqoqAERdEUAduBBIwu0Kk1MyrT7HNkVNAgoQFQBQgUBE7e1i8k8qii9awqJi0la2xSwKmMsipmEq6iicL4Z2uhCBxJNYAtdmwVwbiLnNXE64TV2IxC8rRFyIfZwj9ja4cJDqsqbZxuzH+eJy4vYuRBMfl3BM2FiggE3EffF8JOmyJt4Wfyw22x5fXDavYeft6Hy8vR+SsC0UcOKXx+HzfjXcbY/fYpjRHtMBPAHgXRHZF8B4mC8GW8Ikj3wAthWRgwD82u6iAsCvReR8AJ8hTc+UiMQAtAJwAdwgInuqai1Mw6kQ5n/7rwHUA/i7iKyFSXQIzMieZxMaN/GpShX2tl0AHAXgBQBv22lRdTAjfhyYXrZCADsCOAHAOwDeg2kMHwfgDBH5OkwDZSKAT+wXv1oAu4vIfwBMhUnmRGEa0yNgGmAlAG4TkX/ADHf/qY0tCNNjWiRm6pYfpqEUhBl1VAfgUhH5P5jh1hNE5FD72C8D2BZmxM7qhJfxPJjexwYAR9mYd7avT6GIvJDweo8BsBLAOap6HcyXgifsiKn3ASxQ1TqY4eAH2texHCaptmeKhuM0AH+GGWGVqneOSR3y1Fip3/HS4r98euqo6c37L5v5zrR145ymolHOpsLCYlc3ibr1qm6jo7opINpR5MAtE2iFQPwijitwoo44rogTEzgxx9wW/+064riOuU8d8cVvU0d89jZHHTiuIz4Vc1k7L/tgHw+7LUR8MNs40nmbIw4cFfGZlNQXiShHHDhiTsmOYxNWIhDHbCOOQAyIT8w51xGIA3PudgA4IuLYHqT4b59AHUAcNf/f4//nfQB8dlqMTSt1aX/Hh1LYPFe6+xJv+2I7Sdhms31o0uPSPD5lDJr6cSbnlpAlS/G4zfJj2hlGl5yZdg0xRczmog++fifVbGfIUphz83+TOkMSxQDM7O/x4uwonTWq+rIdpboyzaZzALyewS5/BeB8mOdxPkwyKD4tyQfT2fKHDJJDmXoAJiE1CuYceaSInG9HE/X0PXK2iCyDafeshBldjAweB5gRR9fCJOBWIbOE0GX2cZMAnAzgrKTROj0RmPP2bd2NnLHKACDF+R0wbY5yAHup6nu2E+54JCV1rE8B7A4mdQaWqp7kdQwDjEkd8txGn9OydCbmnz9jo37t+Q3PfmfRsvk+18ypdcXf1lQ6aUVdxax1dRXT2pqCAbfV7/qi0uJ33Q0xjdVpoSNOoePzFToFBYW+EhT7K9qL/GWxIl+pFvpK/EGnsMDvBIv8UlDiiFMOyAg7dxlRxNqicFuiiLV2SKytA9H2qMTa2xHr6EC0o12isQ5EY+0Si3Ugqh0S0w5EpQMxRCXmROFKFDFfTFxfDG5BDFqgcAtcaFChQTVffs2PZLOnT9URNyqiURGNibgxMddjIq5rrtvbnajrmPtdEY2J46pjtjHbmesqjrnNERfSeR32PjWXFeLEIOKasVPmfhHHtakU1xFxYWrcffFbzG8VQJ2E6465rg4AEVGfve7rvA4foD6ReONYfeisueKP/9j7s+SoPj/SDvG+D8BZANbANLZ+Z3tjdjabaBEA2MTFSUlDvKMArlXVn/VwqDYAzTDJhePROZJ0Jcyw6H8COBumwbcvgD/bejcQkTUAPrNDon8B4BT72OUJw8+Pso9fDZPcqYVJNBwCk6hSmMTEdvZx28UDE1OD5hv26ioAOyT2donIDLuvQpgGaDFMj9nfbcLnQ3v7T2Dm8f8KpjF5FMzonm1gRigdDtNQbIRJEqnd7kH7OvwTncmRX8OMKHoCwCXmy5gJxz7Ho+zreTFMkmcPdO2ZPwKm5/NoANep6vUi8jBMA3w2gFdEZGu77Wr72gqAV5A6MbcWZgrZt9FZ4yFRui8bRIOm3I2VrRzdNvlfC96aHWxf1nzYM+4rX3lJx8QCEwNrxsxfuX7UXtpcMnG06/hnxIfsqNtSr27jBtdtaIi59S3q1nVorEHVbfSr2xKEtpUBsRGAjsLwKwGgAol9kegyl4dsAswmwRwBzEHNZV88ESaA315OPKfHE2BZrw0rIvNhkh9rYBL5P1PV+P/nxOlXx6Lr6Jeub6IZ1dmbUTp7AjhURL4Kc65qFZF/qeqxSdsFYDpruqWqPxORW2AGHBwFYA87vQkw59wggLtFZD9V7TKdWEyB4+vs1ctU9YEMjtckIjvC1OjZD8D3YaYs3wDTsVSZsHkZEma2JBlpt11lt/midpyYAtbJ30kfhPlMfB+mg2duBrHGz81fgZli9xUA29u7M5l+FYUZ/ftdEXlfVW/pZtsmACoiM1T1w6T7pgNoVdX37PVHAPwAqbUhfb0fAEzqZIWITAbwJ5g/SIUpQnluNzUD8g2TOuS5DT7HnABE5D+7yR7/3UnaTn3YXbTf6zrf0WhFeeOKLcobV2wxNeGvLuYUtDSWTqmtq5y1oa5iVrS5ZGKgLlA+wUVHucbq12r7ho2u+3GLxtbHNFYvqk0utL0AcCsA+AqcYH2hr7S+yFfSWOwv21TkK28r7kwE+cp9RQUFTkmhTwoqfeKLJ4L6XOdCoRqLJ48Qa41KrK0DsbYOiXa0I9Zhf9sEUlQ7EHM7JIoOxLQDMYlKTKKI+aJwv0ggueoWuNCAQgNuZwKpFJJxMb8hxo2JaFQcNyrQqIjriuPGBBoVx3WdzuRXzN5nk13qxpNYbszXcUCP6xCkZ7/IHwDTQL0GppbL1t09pI/HCAK4G6bn6rcArhSRy2Aahathki/3wiQjGmBG/cS1w36ZUtWfiEgHzJDjr9v9bwkz2uVZVVURaQRwGMyInCBMsmRnAGfCDFPuEJGJqrrSNsTn2bjiU5gOAnCL3bcDUyjyB/b+VgDVMMmSv8Ock5bZmBcD2MGOZHLstlDVmHQWVR4D87lfYZ/vBJhEyfYwSRwXnXP/fwHgr/ZyvMijH2aI93b2ud0CU/S5XVVvFFsc2sZ3PoBbRWSSqn5mn28TgMsB/Bwm2fQF+9ottO/FnehqE4CDATwlImtSNByZ1CHPlblaBlWFiLQFpOS2fX1737YvMO/DVW+e8PhDzk61D+0oQLDDX1S/fuTcD9aOmd9YVzGzvKNgzGz4x87obt+q6kKb16nbuEHdhiaN1bWoWx9VtwHqNvlVW4qh7eVAbCQ6i53mO1GoXzXmB2LBGMBWeHqJCbCoQDrO7XPd3y/OmzfCdALsA+A1mNGS30qx+UZkcbqdql4M4GI7GvQSmMR/ckIHMMn+ST3tT0SqADykqteIyBKYzoV4EmwjzLn5AQCPiMjuqvpxf+K3bQJXVRcCWCgic2FG6saPdzyAF8TU96mC6QSKe19V54mpmfckgB/DJGneA7BARAJ2xNRZMB0rX7B1AhcC2B/ATegc0dxdrF8B8Liq/lNEHoIZWdybBY5cmNG9zwO4WkTW2Y63zdgaOg0A/ikih9rr5TCJttdgRvzOUtUP7D7TTeUaA9PhlBaTOtlxPYBbYRrGgOkdvB7mzRkKeDohz210fF2mGkT9Ery2yrfglv10w/n/ji3e+hPsLuZL5xd8bkdRZcOHW1c2fAiTALeP9QWbGsumttVVzG6tq5jhNpdsW9peUjoR4psAmC9a0Ka1bqxubUtsfeOm2Lq2da0boe6nQXU3jQSiY20P4mYndL8EGgt9JfVF/pKGIl9ZS7G/vLXYVxYr8pe6hb5SJ+grKihwgkG/BEod8ZWJSQQVAoBAxA9fkR++okKg6wDkLFOoG0WsNQq3pUNirVFE2zsQa2sXM/qoQ2LRDkSj7Yi6HRJz2xNHIJnkkUTh+mKIOTFx/TGo34UbcKEF2jkCqQhAEaTr++Itx6cKn8Z8/UlqxfoZxGkwyYrLYEaY/B9Mj+ACe7+IWWUqPiw/1bz6+IbHAfiJqm6V4hgC00t3AMxImqkALoUpBnwaTMHhvWEaNOcB+L2YVZUehxm9MgXpHQ3gdgBftY0iAJgB89rUwSRXWmGSMz+BScYsl85Cgk/A1C041L4WYTEFm28E8CpMQmODvW8OgKUA5ogpCFlm97EnTO/VMzDDvp+HWWWrQMxqEz+DqffzLIAL7fM/Byah9W+Yej+uPc5MAD5VfchOl3JhGs+ASfg8YZ/zBaq6PuF5xFUAGK+qL4jInTBDz9+yryVgGqolQMq/hZdg3ofkpA5Uda1tgC5M0XDk9CvynGP+TzWi8+8SAPD6DGeb82c4KG/W9ccsdJ/b+82WmePXvLTj+DVmZoVC3Mayqe+vGTP/8/Uj5/o2FY+bpI4/lLgPEXEgpaPFKR1tcrHpqcba1W1aD7dxo+vWN6tb16ZufUzdBoHbXKDaWgLtqADcUei6ag/lry4JMHTWWuur02ASJker6sc2Yf9Te26OobOmjsB0FCSPvOgMrG81dQBznnkcSR0ACR6DGZ3ak4sAXCUim2C+7zfCnOsAAKr6jJhVKm8A8JhN7Ky39z0PWxC5F+bCjHAthJ0yjc7z350A9hMzrS3+2v0ieQeq+qyI/AvAySLyE5jOoathRrlG7WP/k+LYlwK4P825OZXTYZIxrTCvTRNM0msONq+pc4Wq3p0i1rViihw/DeAWm0RL5ycwSaqXxdTGicGc92+Cmf5+v4i4MK/LNQAgIn+HGZH9km2TjIUZhZwWkzrZMUZVE4ss3SAplqHLY+mGyBENmg0+J+XJurFYRlYf699n8lqt/dHdsVXj6jZfTjCZP9ZWOqLu/Tkj6t7vcnuHr6i+oXzaJ3WVszfWl89wm0vGl3UEJ82AOGOT96EabVO3frXGNmzQ2PomN7Y+pm6dE3Ubi5uiDZVN0Y3TkOGSwz7xbyr0ldQV+kobiv2lm4p8Za3F/vJoka/ULfSVSqGvqKDAKQz6nUCJT3ylAmeEiPRrOWOBOAXwFxcAxUWpZtNnkQuNRRFriSLW0iGxdjsSqaNDou3tiEU7JNphp6+5HYjG2hGFSSDFJCoxmNFHMYnC9cfE9dnkkd+FBuNT2GBOhkWQQTmvZWOExOMwdWo+B7Acnb1Wq2DehXdhGjClMMPAEzUB+MhefhtmdGgXqvpXEfk9zFzzJlW9EgBE5F2YhMV7MI3XZ1T1UHvffTBJoC/BDIGel7zfhP1X28fcDjM1aCJMY+QYO0oGMEmdrwL4LsxUpwYAe8cbjvbxADAxudCgiERgRhcV2ccdpqpv2uHdE2ASNuPsa/dVVV0nZkWJmwHsALOaRACm8Xs8zCikx2GmYzkwI6O2gFmN4hExxSSvsI34ZgBft6NofDCJmEcBxFQ13XD7+ehMytwOM+99CUyDdKK97XqYLw0fAxiX0HAsRfreOajqR2Jq/zwkIocl3MWROpQTfEBjLCmpE9dQIqOuqfItuPar6u79pr549CIXIxuxo0Cd8sYVs8sbV8ye9eH9AID2gtL160Zt8+Ha0fObGyqmj+jwl8yGSLdTDuJEfAHxVUyAr2KC88Vqx6mptjer27Re3YYGdeubNVbXZur/NDmqzUG4bSVARyWgo5H5EtXkvWwkuh9X1Uft5b/A1IQDTE2TxO9DDTCdBIlegzknZ2IhzLn8C2I+618GMMMW003lFgA/FJHZqhpvxH6KzVeB/BydmdBWAN+25+an0Dmi9UHbmXJhhjF3F/8Ku99Ce/0tmCL/gEm6XIPOqVH3wZyrAdN+SZxOdhnMyNV4fDvCnLcB8xzPtZe/eM52+lh8Clni/pJjjKtNiCUK4Huqusqekzeleb7xEUKJx/1IRA4GEO/YegpmCnaya2DO8/Fp7C6AJ1W1VUS+g87Vr5bAfOaSfd0+p+fTxAYAEO15BTPqgZgq3zfAVLAGTJb1JFU9wLOgsqm64hgA//I6DBreLhs9cuG9ZaX79rTddsvd139wn+srbu95Xm2mOvwlG+vLQx/XVc5uqK+YoZuKxpV3FBRPgTijunucui116tatdmPrGzS2vkVj61XdhgLV5jJo+yhAx6GP9QIc+NoKfcUbC32lDUX+0k3F/rKWIl9ZR7G/TAt9pSj0FfsLnMJggRMo9om/VOBU2iGfQ5oLNxqFu6kDsbaoxFo77AikDolF2xGNT2FzO0wdJLWXJYqYdnStf+SPwfXFvkgguUEFAgot9MGZe+nllyUnWnpFzLz9W2Cn1wDYVVU/l85lw7ex2xUBWK+qxQmPXQgzYuSl5P0mHaNJVUsTrs+DWTIzXh8gAOBDVd0rxWP/DFPQ9zBVfd8mO75IDqXYvhbATvHkjJgVHz6F6aF6CMAD8efU3eMSbr/Bvg6b9ZAlbHM1gFdtIcbk+/wAWmCWAm8DsBPMiJ2fAfi/5OeR7vmJyB8BFKjqWWJWzFqQYl48ROQVmCRT/EvFRABz7WtXa49fD9PQvQbAPFU90T72awCOTDPUPr3qiqPQ2e4g8sxO0ya/3+Y4szPdftwG/fSkx9zl85frNo6pcZWSK060oXz6B2tHz1+9fuScgpaiMVPV8XWfsckyU/+nab269Y3q1m/6ov6PNvnU3VQ4zOv/5Jox59/xYNoEeU+kcxGDHVV1g5ji/K/A1JwTmIRNvMOlGcBJMKNR41N+ZsF0ILQAeF1Vj0/a/yh0jl4ZDzNiIz4idBeYzpZGe3tUVXdKE+e7MMmn74rIbjCdB0H7c4eqVttRODup6jn2/HaaPZYfwI9V9YEebk/sDLoApj5Q1Mb2O1W9yd6XvEBAPMZaAC+r6rfs9cNhOlFOFFMUemdVjS9yQN0Qkd/CTCK4qLvtOFInO06GmXN5FUwP6zP2tqGiwesAiDZ+sbBT95bOdOadeL6Dr77gPnvsk+5kv9vtFJKMFESbR4zesGzE6A1dasmhraBsbUPF9E83Vs5ubCifjk1FYyuj/uKpEKkEAHGKKsUpqnT8qYeNq7oxdRs/V3fjOo2ta9TY+nbX3eio21gIt6XCTPNKXSfARSy4KdY4flOscXym/fUCpyPoK64r8pXUF/pKm4v9Za3F/rL2Il+ZW+QvRaFT4g/4Cgv8TqDYJwWlDpxKmNWO8maZVgeOPwCnPAB/6vU8sqOlPw+2DcfnAHzHDvH+M4D37Rz0yTDTjF6DaTj6YVaGSlz9aluYAod16L7hWCQiq9DZcJwAc65K7HDYQ0Quh5mf+JaqbhRTi2YOTAPzRDGf52+ZXcvPYRq1AHAFTOImPhrlGRG5FabX6X8AVqrqn0VkOoBJIvJPAKdoD71JNv5DYebS/xmbN3wvBPAdmClPR4rI26r6vIishkmkrIMpTNwCU4unGKb38FSYxMpFIhJT1avs8W6w2ySuZBVPiLkAzhSRdTBT5f4iImfBrGb1TwAv2/djsqqOTXj85QDOtsm7iTDtgoUw7YSfAhhh7wPMXPn/Jh43RXLvNJh6AgfYfTyoPy3n9CvKCQFFS2+GdK8eKZNrvu2b7I9qW9WL+sw3nnXLS9o2n27iqOuvrF++VWX98q1mL78HANAaqFy9bvS2H60bvV1bQ9m0kVF/0RYQGbDRNOIUVYhTVGH+TNMz9X82rVW3oU7dhsak+j8Fqi1FCfV/KpHFeiz0heaeN0lPzSIG1wCogZmiUwPgr2oWMQih60IBZ8AkQU5A5yIGC9FNh4sdpRp/fDWSOhJsU2u/5E6ORLbDAuhcTv1GmFE4S+3I0i3TPPQqVb1STLH+JSIytofb48c7E2b00C62HkwFOhc5AJIWCEg65k4iMleTCjHDTCP6uYj8WlXTjYyhTi/AjBbuFpM6WWCLSx3a44b5K90QQKJBU+/LMKtjPbSLs/sjO0r7SY+4i770mm4nXSvvZ0Wwo3HMmHWvjxmzruvqkq3BylX15TM+q6uc3dRQHnI2FY0ZEfMVToMZvfAFEccXHy6OglDKY6i2N2usbrW6Gza6ZrRPTN16n7pNJdC2kYA7Dp3DXbulcAtaY01jWmNNY7qu2pyeQGIBp6iu0FfSUOQvbSz2lbUW+cvaiv1lbpGvVIO+En/QKSoocILFPsdf4sBXDvOFdSj3WPa3EXIwTGLkKzC1XWbB/J8NYfN6PSUAlmnX1a/qAFyqqjeLyE4i8vfEefvxhqOYAr1fTL8SkY8A/E1Vz7f78cEk7QMwNWWusQk8B2Z0zUEwI0iiYpY7L4CZljQ/fizbY/htmNo1bTAreX0bZlrU63Z/v4CZmrEDgFdtw/WfqvpHu5snxSy/DtgklYg8ALOqxTbo2mO4O8zQ7B1gejpvg6kJBJjhzc/Z5x2FKUy8AKZY9LEwRZzXwSRqfiIid6tq/LHdWZ9wzFKYBmwUpjD0EpikzptJj7kHJpFzDMz7ugdMUu09mNFCqxO+HDwIkxhLSUzdpO8B2N8m3eJ3cfoV5YQiddsa+7C4YNQvwft3lz3u393BrM/03ZMeja2Z9Tl2kG6mLhe2142bvHLJuMkrlwAAXPG111XMenPtmPnrN4zYKthSNHoaxOm+AM8AEBEHUjJGnJIxGdT/6YDbvF7dho2uW9/UWf+nEXCbg6YANOv/9FLs/Dse7FeHi3UVTO2T8wDsBfO/N5VymALAg21/mAUKnrTXx8KOvlXVGMxo0LRU9W0x9WlGZ3I7TNHi/VS1wW5Xj66rfm22QEDCfVfaxx+TdKzuFgigJKp6V89bManTL2JWEUlHVfXngxbMwGJShzzX6Di9ThJEfRL428G+Bbct0I0/vM9dNHeF7i6dq9wMmMK2uvGFa18ZP27tK11ubykctbK+YsbKuorZzQ3l0/wthaNHxHzBUHc1A0QCJeIfOwMYm3Jct6oqdNNajW1c57rrGzS2vlVjG6BuQ1DdTWVAx2hAx6KPvYIK9bW5m0a1uZtG1Xes7fkB9mEBp7Cu0FdSX+QrbSzyl7UU+8vainzlsSK/WTnMJIIChX4pKHU6Vw7LoYLKaW2aXLN3vwol23o316Oz4bgngOlqVnEIwYyYmQ8AYua7J6908RrsvH3tZtlUO+KjOuH69KRNDgDwmppVNwBTtA/2uAfC1IuL2sdW29i+nrSPsQA+V9VQ4o3xod/oHBZeGN9XUoyh5Nvs7Sfa/ST33k8AsE5V2wCssKNz4l8A1wLYDaaGD2Dq5syGKZDcALMa14Oq+nMxy8ZOQGdC6M40U73+AFNj6G2YIfm/sY99BKYW0L9EZBaS5u2r6usi8iGATxOeY3xq2uEALrCXxwEoUtU3Ur0OIvJtmLoEB6TovWVSh3JCiav9HjX2wSTZ8icn+rcsatWGby9xF3/5VZ0UiGFmT49zNBYYWffuNiPr3v3itpbCUSvXjp5Xu270vGhj6dTRMV9wNnLo/CLiK4CvfLz4ysf3XP+nY5O6jevVbajvrP/T4Krb6GP9ny5S1U7pNVXtsOfd/wE4UM2qS3Ez7SjaMpjRnbum24/0rVCywqxGpQCuU9W/pthmT5gRonFXAXjXJkn+B+BGVU275LmY5coTFwJIe7uYjsgyVV2eZl9TkLRAAIDfJ2xyJ8yy37NSPDztAgHUN0zq9E+qYX4lMIWQRsH0Eg4FTOqQ55odp88NsqZiGfGz7/gWTFyvK350V+zzCRt7LqY8EIpa108sal0/cfzqF7+4TQFtKRr7SV3FjM/rKmdvaiybFmgpHDnKdQLTYFfF6o6ISLx3MF3j0KwKUr9aYxvXa2x9s+uuj2pso6NuYxG0tRKIjUOaIpd9JO1ua2W721rZ0LG+562tAgk0FPpK6gvNiKBNZkRQecwUjC6xK4cVFvqloMSuHDZSBnDYfRpZ+X/occMxrruaLMkNx3S6a1B+ByYZsm+qhE4fPQLgMhF5D2YVkHtgkjOJVc/j5+ZWmJFP8etbA5grIjfCjG7rOsSue7fDrFAWn862Ep3LsadzFYAnROQZG/f1qlpn79vbvsdFACAiM1M0nKfBTJfbXlVXpdh/XYrbiAZdmetm6+8bLYVSfuOXffvc+GVgp/fcpcc94W4avxE7Ja9u2Z2i1vUTp3765MSpn5rBDDGnoGVj5RZvrR2zfd3GEVsUtgZHzIA43c+nyhEiBcXiG1kM38gep5Kr29pgEkD1Dab+T327uvVQt0v9n0qbABpqo2mz+V3lYJjRL9ug67SXxOlXRwL4K8yI28101+HSjT1VdaWdAvWoiLyjqouTtpmAhGLMqvozEbkFZpGD78CMnNk3xb5/ICLHwtTsOdKOlunudsB0BnY3XfoobL5AQGJSJwaz4MHFsFOME6xBz+dQ6gUmdfpBVX8Xv2yzmefCFM26HcDv0j0uDzGpQ57bZOp89MvKUTLt3DP907b9yH3jh/e6KGnDttmIrT8EkOKWNVOKW9ZMmbiqs2i+QmLNxeNr6ytmrqqrnNXaWDYl0BocOcZ1Cqahl6+FWRVk5BTTKEzd8alua726dWs0tr7Oja1vUXeDaqy+QLW5FNoen+Y1oD2dHdpe3hFtL2+MZj6i2ScFzYW+kroiX0lDkb+sxU4P6yj2l6HQV4KgU1xgCkYXlDjijy8hn9FqKmkMhYYjxHyGDoVpbKXSpeGYTg8NylcAbAVTB+fp3saY5nhNYlbD2BvAfjDDu8MwxS3VbvM7ABCRfWGmPhXZ7f0wK099COC0hORTqkZr8m3/g+moWQ3gjgxjvV5EHoZ5774O4AwR2c7evURVD+lhF2thlqD9NkyCKFmfC4ISZVOF67oDsd+XtnC2e2kLByMbdPVxT7jv7PaObuHTHuY2peBzO4pGb1i2XWJdvOaicSvWjtnu03Wjto01lU4a5zqBWcjzacPiFJaLU1ieYf2fdeo2bEyo/9OhboMk1f8ZAVPXLx/q/2Tl3GxrnX0ZZtTnUyJyu6p+nmLTB2BWNMwaVV1pf68RkXthzp3JSZ0WJE25tx0C14jI3wCsFVOXLtlVmnqhg3S3w9bQaRaRGZpigQCY8/04EYlPr5ooXVflAswqVxejc3WquEL0sz4hdcWkTj+JyEgAP4SZL3gjgB1U1Ys5lgOJhZLJc21mFaCseGO6s+1JP3Rw0Mvucyc85k7wu5iWrX1ni0B9pZs+D5Vu+jw06fPOFatdcaLNxROW11XOWltXMau1qWxKsDVYOU7FPxWdBfR6fzynsEKc8RXwj083zcuFNq5yYxvXaWy9Leq8QeA2BtVtqQA6xqCbVUwGSkw7SpqjdSXN0bpJXRYb7YYjvtZCp6Su0F9SX+Qr21TsL2st9pV1FPnLtMhXgqCvpCDgBAOmYLS/zK4cFh/JtCEbcXvZcLQOBvCKqqYrrrRZwzGdbhqU78AsT3qniByUXCzRDveOF1a8TFUfyPB4MZiiwwtF5A2YJWdvgKl9MwLAOntuPhsmmfMCTHHiOWpWAtkdQERE/mtHwMQfF49rJJISJnZq3MswtQPmAvhahrGuhCmo/E8ReRPYvBhsNzbBro4mImtU9Zak+zMfBkc0gCpj/ZqR2qMN5TLu6m/4xv3J1dj+S/X5by92Cyo2YXvpR7KhpGX1tJKPH5kW+vgRAEDUF2zaMGKr99eO2b6hrnJ2cVugYhbM6kdDjq3/M1qcktG9r/9T36puvatug8BtDtj6P+W2/k82R/z2Vl1/d2BrwF0D4Dw1ixj8Fqbj4JgUm+8FUzsuK0SkBICjqo328oEw9deSvQ1Thy/+uCoAD6mqwkw3jiG7ozjjCwQcaZM85TAjdBYBKFHVL6aHi1kg4CgkzFSxo5Kvgul8eSJhv1tg81p01A9M6vSD/WM/DKYXdVtVzcp8zpxTXR9DdUUzuilcRzTQov0bXZHSwzs6uz0+X9qPf8xdfNAruq2kWWkqlzjq+suaP5tZ1vzZzCmfLfridld87U2lk96vq5i1tq5iVkdT6eTCtmDFOBXfVIj0voJlEtMILB/vc8rHoyB1Dky1o0Xd+lUa21DnxtY1a2xDVN06v7pNxdC2EXaaV9bfx95yNVa4KdYwflOsYXzn6t7dsyuHbSz0Fb9/Cvbu1/G9bDgmOBrdL4fdpeGYTk8NSlV9RszqGRER2ccuLBC/73nYlUAyJSJbAnATegLnA1hhLy8EcJyYBPBhMImpH6rq32yNn/hxnxWRm2FG115sH3eeiNxop8GdCCBehDLR7wAsUtX1ksGCcCLyFZhlZztEZDxM0vMzmNFLGVHVtXY/C0VknZqC2UZ1fR2qK6JgW448NtJ1+32OyYTriO+x7WXXx7Z3MHmtfnTyo+7Hc1fofDEr4fWLP9ZWOnbd0u3HrlsKwEyNbi6Z+OGaMfNXrh+1jTYXT5zoOv4ZyOSPfwjpX/2f+jZ161XdRieh/k+Fnf6VUadBL2Rj5OJpAD5W1fjI2f+DWQFyAcx5Jj41WmBqmqUdJduHqdHjANxrP15+ALeq6v9SbPdfmNEvcccBuEpENsEU8D9GVWNZ/JheA1Os+0UR6QDQAXMuPBrAvUnb3gMzWyW5/Mg/AFySdNt+SD9SmPpAtPuVRakbIuLCrPYRRdeh2gJTv7Tck8AGQnXFZ+DcR/LQvNCUDWp60AdESYvWn3e/+9q8j3Q3GULFBmNOQUtj6eQV9RWz1tdVzoo2lUwqag+UT1BxJnvROFV30wZ1N65xYxvqNbauTWMbVN2GAtVN5dD2eFHnQfmC0Ef/PP+OB0/pzw5E5EcALgUwVVU32JEtK2EaZythVlSKTw2KAjgZZsRk4pLmn8AkTz6DKVR8asL+40uaAyYxEwPwkb2+C0xyoRamkRoDcLKqPpsU4zSYXrXLYWr67AmT2J+Jzlo0VwA4AybxFHe3qh4nIn+HWQJ1npik4mKYES6z1KzO1d3r0138Z8DM4R8Hc95tg1nO9RERWQFTfPEwe198+EB81FEBTCHI92ESWmfBJKL+BDNFa459zHIAB9lC03vBvB9XqOqlNr7RAFbBFLSeZ+sJNapql9E7YophHwnTJhAAz6jq/mKKY1+FzvcYAH6jqj8VEVvSQPYC8JiqFtp9XQ7TAP4qzIpm96nqBaiuWGVfCyLP/LOi7JmrRo7Yw4tjBzq05evPuS8f8ryOKurA1gN5rA5/Uf36kXM/WDtmfmNdxczyjoKy2cmrWlJmkur/NJvl3+u1s/5PeykQHdGL+j/XnX/Hg2cOdNy5wE7NuihpmlPesAsE3KqqB3gdy1DC3p1+UNVc/uKRbRvApA55SM3ykQOmuUgqfnGUb8H4DfpJ+K7YpxM3YPeBPN5g8bkdRZUNH21V2fARpn3SWbYl5gSaG8qmrairnLWhvmJmrKlkQkl7oGwixDegf+fiFI8Up3ik409e0MlQdaPqNqxUd8MGja1vcmPr27sWdY6ORRZ6ZfthTX93oKq/tqtb1AA4HcAvAVSr6p1iVphapqrbAICInAHgEFU9AZ1Lmi8EcIGtp5Nq/+thR8CIWf3qiyXB7W01AM5W1b/b2jqpRk99BrO06QuqepN9XAhm9aj5Cfv6BYDdVHWpmHoUW9q7ngLQakclXQtTy2YfVe2x9kZ38dupUysBbKGqbTbBEq8xpQDOUNVv2W33ta/TIXakzk52+tUomCXlt7dD3QHgLk1Y/UrMsugA8ClMDZ5DYBJxAHAEzLDx+LzIhUi98spEAEer6v12n/EaXq8BiKSpqRMv6vwpgA/s444D8E2Y1bbWichTMMuqA+bzyKQOeWpUzPVsZan2Aim6a2/fXnftDcxd4b51wmPuhmlrsJNkfyQICqItFePXvLTj+DXmX69C3Mayqe+vGTP/8w0j5zjNxeMnq+MPZfu4Q1Ef6/80aKy+Vd26qLoNsPV/Ck39H98n3e5oaAlj8wUC8slUmKnMlEVM6lCmPkbvagEQZU2LyKbulv3OplUjZcp5Z/inbFPrLvvhvW6stBXzBuO4g83ntpeMqH9/zoj6rm2CqK+woaE8tKKuYlZdXcUMt7lkQllHQekkiDMoXxxFHL/4KifDVzkZBTNSbqPa1qixujUa27DRdde3aGy9q7F6v2pTiS3qPB4Dt3R9qlWI+uIqdC5pvheA76XZrhxA1uq02fnw+8BMMYKdbpRqaez9YUbLjIWpjZPOWNg5bLbWzVtJ918NMzLoyEwSOhlIXNIcuvky3z2y06c+QNclzbvTAuBtEdnJJtKOhBkt1FMCdAJMciZ+3JTLlndHul/SHDCvvecF32l4GxmL5cTo1mXTnDkXneKgdJNuPHqR+/x+r2toIGvmCdQpb1wxu7xxxWx8eD8AoL2gdP26Udt8uHb0/OaGiukjOvwlswer/TIU9aL+T1bq3eUDVX0XpmMiL6nqiz1vRb3FpA5lakXPmxANjAbHacQg12J5M+TMPfkHDr70ivvcSY+64wtchAbz+F7xx1rLR258Z9uRG7t+j+/wF9fVl0//uK5ydl19+XTdVDy+oqOgeDLEGT3YMYoEy8Q/rgz+cemKOiu0eY0t6tygsXVt6m6Eug1BdTeVA9Exdkh3X6afZVaEpwfq3ZLmM2BWVbrersT0MoBzVbU5abs9ATypmy+nmszrJc3vUNVFPTymCxGZitxZ0jzuW9r7Jc2BLH0eifpjRMzN2kIG2dBULCP+drBvwd++orrH2/ryMU+60dEN2EkGYRnvQEfTqImrnhsVX83SFSfaUD79nbWj569eP3JOQUvRmKnq+LovTkN98ZnXARB5iUkdyhSTOuSZesfZ5NWxH9vB2e3J7aTj2CfcxQe/pHMdD1Z4ygUF0U2Vozcsq0xcEhYA2gvK1tVXTP+0rmJ2fX35dNlUPLYi6i+e6uWqISIikNKxPqd0LAqmpNxGNdqmbv1qjX0xzSumbp2jblMRtHUEEBuP1MXhs9lw9GJJcz+AHQB8T1WfF5GrYUaCXJq0Xb4saX6HiIRV9Qb0vDT5kSKyH8wUsaGwpDnApA7lgEo3lpsjUUTkmTmy4zNzHIyp05UnPOa+v9MHOsfRHub8ZJGjrr+yfvlWlfXLt5q9/B4AQGugcvW60dt+tG70vLaGstDIqL9oC4jkxGinPLbS6wCIvMSkDmWKSR3yTJ3Pu6QOAMR8UnDjl3373LW31p97v7to/oe660DM189HgY7G0WPWvT56zLqugx5aA5WrGyqmf7axcnZTQ3lIWorGVEZ9RdNgpv94TsQfFN+oqfCNmmpq5W5O3ZY6detWu7H1DRpb36KxDS4Qzcr/Qg+XNP8UwKd25SkAuBsmqZMsr5c0t5smL01+xxBb0hxgUodyQLnrlnodQ0/WVsrEKw/3TfTFtOMrL+uzhz3tFpe1YrueH5l9he114yavXDJu8solAMzqlXUVs5atHTN/3YYRWwVbikZPgzjdrzVOyThSh4Y1JnUoU0zqkGc2+HytPW818DYVSsWvjvQtGLdRP/3RXbGPJ63H7tK3KTxDXmF73bjCta+OG7v21S63txSOXFlfPmNlXeXs5obykK+lcPTImC84DSKpRsV4SpyiSnGKKh3/F23rKLLwJdrLJc1VdZWIfCIiW9p5+Qdg8zo4QB4vaQ4zPcsH4FgA9yXvY8gsaW58nOpxRIOp1NUyqGo+LPcd80lBZBfZPbKLg+mr9IOTHomt3PIzbC9muqsnHI0FRta9O3dkXWeZlJbCUSvXjp5Xu270vGhj6dTRMV9wNkQ8K0id42IwoyiJhi0mdShTTOqQZzY4TqpCrp5ZPUIm//B0/+StP9a3Lvh3rL2spXdfTIezotYNE4taN0yMrx4CAApoS9GYT+orZn5eVzFrU0P5tIKWwlGjXCcQgkgujYj67Oxr94/1vFmPTgPwsarGp1z9H4ATRWQBzP/aeE0dgSlinHZ6VR9q6gCmKPMtduWrDwGclGKb/wK4OYN9HQfgKhHZBJP0OkZVY4nf7VT1QREZA+B/IrJ3T0ua96AUwJ9EpNIe7wOYFcQAMz3qGhFZCvPa/Q/Av9Ls59cAXhGRX9r4doQpXB1f0nyzpXHtSKNlybd340AAV4tIPCl9oU2qbYXNa+pckbj6VtJxPxKRQwE8JCKHJd2dt8UyaehwAAdAAwZ4lcps+2i8zLrseP+swnZt+tbT7uKvvKQTgtE0QzcHWVHr+olTP31y4tRPTX455hS0bKzc4q21Y7av2zhii8LW4IgZEGfQppHluE/Pvnb/bBTiJ8pbYjrXiHpQXSEAWjFwK8oQpfXnyool142o2NvrONLZ/zX3hVMecccUxDDd61iGEoW4m4rHfVJXMXNVXeWslsbSqYHWwpFjXKdgGkxCYrA9efa1++/fnx2IyBQAiwHsqKobxNQeegWmDo3AjJB5115uhkm4hGCSEIAZPfMZzPSo11X1+KT9j4JZtQoAxsP0YK6113cB8B6ARnt7VFV3ShPneTAjXY6GGWFyNYCg/blDVauTlgmvhklWrYXpMPqxqj7Qw+2JS5VfAJO8itrYfpewlPoYmHoJ56hqfLoWRKQWwMsJS5gfDrP8+4kicgiAnVX1p6me35BRXRGAmaY14AVgibozPzRlZUykp+LhOW/+cveN4x93Gyetx06S423e5qJxH68bPe+TtaPnxZpKJ41zncAsmFGKw82jZ1+7/4FeB0HkJY7UocxU1yuqKz5GBsPxibJto8/J6R6YJ+Y7uyycJ9FjnnQXV72gcxxg0FeEGooE6pRsWjWtZNOqaZM+76yz64oTbS6e8GF95czVdRWz2hpLpxS2FY4Y44p/GkQG8rzW72lQqvqJiFwDoAZmhEkNgL+q6goRCaFrkeQzYJIgJwB42N62EMAFtkByqv2vh53SlJw4sbcBwH7dLQUu5jU8GcBRMAWT/wbg26q61E5r2jLNQ69S1StFZGsAS0RkbA+3x493Jkx9oV1UtUFEKgB8I2GTIwA8B5Ngug5d7SQic5Pr9QCIAPi5iPxaVT2tyTWgquvbUV3xEXhuJo/5VZtjuT/7qkevzXS2fW2mg4omXXvsk+6yvd7SWT4XOblaVUnL6qklnzw6ddonZtBn1Bds2jBiq/fXjtm+oa5ydnFboGKWl4sWDKL3vA6AyGtM6lBvrAAbjuSBjT5fzg8pdB3x33yAb5+799SG7/3HXbTjB7qLADm1zOtQ4ajrL2v+bEZZ82czJn/WueK2K772ptJJ79dVzFpbVzGzval0cmFbsHK8im8qRJwsHPr9njfJyFUwU33Og6mZ870025UD2JilY/bG/gBeUdW3AMAmYT4HvihSnKoGzxdU9W0RiSIpuZnudgA/hkk0Ndjt6gHcmHD/0TAFim8VkUmqmlgQ80r7+C71iFRVbQLsEAB39viM89u74LmZPBZUbW3zOogsqi+VMX/5mm/f/ztE3QWv64tHLXZlRBN2zOU6ev5YW+nYdUu3H7tuKQAztbm5ZOKHa8bMX7l+1DbaXDxxouv4Z+RD7aNe6te5OQdG0BYD+DtMIX0FcLKqPpsizvNgVkTcFcCeMCPJpqNzGu4VMIsh9DSy1oFZgCEG4BTtYdpOBvFfCLP6ZQyAC+AMu7pmrT3mOruffWE6pQ6x8fzWvm6FAK5T1avsdjcAeDBxSrKINKlqqe38+ghmyvKl9r7RMG2U6xJGDnfp0LLbbQnTMVRpX5slqnq6jet+u9+4C1T1saTjPqiq29h9nQbgLJi6hFclx5twzLSjkHsiIlfC1Cx8IpPtmdSh3vio502Isq/ecfKmAdJSKOW/OcK3YEydrvzR3bFXpqzFHrncCBxKHI0Fyhs/nl3e+PHsqZ92ngNjjr+1qXTKirqKWevrKme2N5VMKm4PlI9X8U3pZeM2K72BtnDuhTA1Xw60xXnj4vV0ymAaerum208f6+kogEdERGEaQH9Nsc2eAF5OuH4VgHdtkuR/AG5MWA48VVy7wjTs1vZ0u4iUASizK2il2tcUAONV9QURuRPAkQB+n7DJnQC+KyKpkhovwSx9PhySOlVeB0HDW5Fqa4PXQQwAFXEWbic7L9zOwYT1+vGJj7kfbfehbuuY1fVymgBS2rxyRmnzyhkzah8CAHT4i+o3jJzz/prR2zfXV84sbS8om50rq1L2Q7/OzTkwgvZvAP6nqofbWnfFyftIGEG7Q8LU5BBMMmF+wnbvopuRtXahhmsBFAA4qaeETk/xi1lN8hAbV5tNsGQ6bTG+IuUomDbG3ar6SQaP+9Ae81J7/QhkVu/ujzAjh++3sW+bcN8SVT0kk6BF5DiYzrj9VXVjumZkBqOQe/InmJHSTOpQ1r3pdQA0PDU4Tt7NEV9bKRMvONU/cYtP9Z2L7o61lLdge69jGq58brSwouGjLSsaPkJ8mDoAxJxAc0PZ1BV1lbM21FfMjDWVTCzpKCiboI5vUppdvZ3FsA6G6VnaBsCjCbcnNh6PBPBXAF9JtQPbgOxNQgcA9lTVlXb0zaMi8o6qLk7aZgISnquq/kxEboEp/PsdmJEz+6bY9w9E5FiYmj1H2tEy3d0OmIRnd43Ko9CZlLkdwD/QNakTg+ntuximuHOiNQDyvsZHBlgsmTxX4mpOLWgwED4fJVN/daRvakFUWw95QZ/++rNuZXE75nodV28URFsqxq15eadxa0zeXiFuY9mU99eOnr9q/ai50lw8frI6/pC3UfbaO1nYhycjaMUk1PaBWXURtpMn1d9SfARttIdd9jSy9mqYOnlHqmo2ShtMALBOVdvsMdNO7U7Hrij5gd1XJkmdFgBvi8hOth10JEw7oafz/QSYkUzx477R21hF5NsAwgAOyOC5ph2FLCIHwIw09gN4EcBZ8dcwIb4VIjJKRMar6qqeYmNSh3rjNa8DoOGpyXHy9n/Ve5Nlq1PP82PB6+6Lp/3PHRmIYabXMZHhc9tLRtR/MGdE/Qddbo/6ChsayqZ9XFc5a2N9xUy3uWRCaXtByViI74M0u+oVEZkP03uzG4CnROR2VU21VPoDMEOks0ZVV9rfa0TkXpih08lJnRaY4dCJj1sOs7LU3wCstT1rya5KHu7cw+2wvVfNIjJDVT9MscnRAMaJSHx61UQRma2dS5oDZpWui7F5T12hfS5DHZM65Lky183GyoB5ocMvhffuIXveu4eDLT7Vd056NLZ2xirsKClGWOQ6gTrxEa4zP3oAANBeULp+3ahtPlw7en5zQ8X0ER3+ktkQydXn1gygtr878XAE7QyY0avXi8h2MKNkz1XV5qTtkkfQptPdyNrvwHTY7JtBcihTjwC4TETeA/AYzOibRb3ZgYhMhTlfv96Lh90O4CgRWQXTubMSPSd1rgLwhIg8Y+O+XlXr7H3JK1J+K8UI4mkA/gxg+56SLN2NQhazqusNMImh90TkJpipXH9IsatXYN77e7p/akzqUO8s9ToAGp42ORL0Oob+WjTP2XnJNhI7epG75GvP61aOgkuR5ih/rLV8ZN2724ys6/JdeenW77zd7y8tdujzNQDOU9WPReS3ML01x6TYfC9koThzwrFLADiq2mgvHwjgZyk2fRsJNVpEpApmXrcCmA3TgKrLVlwAfgXgLyJypE3ylMOM0FkEoERVvxg5JSKX2/t+Hr/NNsavguk9SxymvAWGxwhTJnXIcxWum9MLGgyU9ybLVhef5N+quFXrj1zsLv7Sazol31fCDHQ0jZq46rlRE1c9B8AsTtBQPv2dtaPnr14/cmt/S9HYaer4cqV49NtnX7t/tuouejGC1g9gBwDfs3VoroY5l12atF2XEbTp9DCy9hUAW8F05jydcge9pKpNIrIjzFTn/QDcISJhVb0BqUfhJt52pIjsBzNF7LSE5FNPjwNMwurnAFYDuCPDWK8XkYdh3ruvAzjDJtKAzKZfrYWpafRtmARRd7obhbwlgI9UNT5t8EYAZyN1UifjEcfZKBxJw0V1fR1MsWSiQdUm+Z/UAQDXEd8t+/n2PvGHvqLnt5BFapYipvyQraT2aQA+VtV4g/H/AGwlIgvs9Zki8pqILAXwS3TTOBSRnUTk77049jiYkUFLAbwAIKKq/0ux3X9hhoPHHQfT8/cazKiYY+yw7my5BsCTAF4UkTdhkjmbYBqj9yZte4+9Pdk/sHlH1X4wq2ANbdX1qwAMxXImlEcqY8NmoE5Kmwql4voDffscc5F/+pWHOa+uqsRzaoqj5j1HXX9l/fKtZi+/Z8FuL16x536Lvz95z2d+vGaL925/fuSGtxb5Oza9gaSpI4Mok1oqPUoaQfsDEZmQZtMH0PX82F+fAvhUVZ+31++GSfIk22wEbTqqulxVr4Ep4rtdwsjad2ASEneIyGbTBkVkV9v+eE1EDs30CahqTFUXqupPAZwD4Fv2rvUAEldfGwkgccrSHao6FyYh9DsRGZ/qcSKS/Lj4NLWXYRZR6HEUS8LjVqrqP1X16zB/n9tk+liYdsnBAM5MGD2c7jgNAJpFZEaKu3tTyzHjEcccqUO99RrM8DOiQdMuMqRWkWoNSOnvvuVbMKpeP//R3bFXpq3BHsIke67LSlLHFib+a8L1GIAdEzbp9rOuqvsmXO62R1BVq5Oufwhgu9Rbd9luhYisj09zUtWj0mx3A8wQ4s2OlS6GVLfbEUC/sT89xfY6gDn2cijh9jYk9GaJyDgARX2ZM5+n3kY3UwKIBtrImMtzmPXCls72L2zpYFSDrjr+cffdXd7VLX2K8T0/Mn8E2+vHTl65ZOzklUsAmNUn6ypmLVs7Zv66DSO2CrYUjZ4GcdIlRrKp36MxvRxBq6qrROQTEdlSVd+FScSkWmGyywjadHoaWauqz9gCvhER2UdVP06473nYgsiZErOilJswJXo+OgcALITpFLrMFm0+FsB9yftQ1WdF5GYA58JMpV4I4DwRudEmb06E6fhJ9jsAi2xNnkxi/QqAx+3o3vEwtYU+gxm9lBFVXWv3s1BE1qnqw91snm4U8k0AQiIyS1U/gHmN0k1Z2wLAXZnExqQO9dZrMEPWiAZNFCj1OoaBsL5CJlx0in/CrM/03YvujjVXbkrZO0O5YbhNPw3DDPfO1jLug20qTA/ecPECmNQhD410Y3m3oMFAW18u46/6pm+842r0S6/qc0c85QYrNg3NRRMcjQVG1r07N3HackvhqJVrR8+rXTd6XrSxdOromC84GyIFWT50NhL3qUbQnmhH0K5AZ00dgSli3O0IWvR+VcrvAbjFrnz1IcyS6cn+CzNStifHAbhKRDbBjEQ5RlVjiUkPVX1QRMYA+J+I7K1mdau+KgXwJxGptMf7AGYFMcBMj7rGjg4WmClT/0qzn18DeEVEfmnj2xGmcHUMJol2ZvIDVHUZejdS60AAV4tIfJrXhTapthU2r6lzhaZYotwe9yM7kukhETmsm+NdA/P6vCgiHQA6YJY0bxWRkwDcJWZVsxdhViSDHX19raq+JOZvZRbMSp49Eu15JTOiTtUV3wTwb6/DoOFl29CUVpjCYkPaXm+6L535X7cyEO25N4YG3Zit33m716s6EA2K6orvALjF6zBo+Lq/tOTFS8aM2tnrOHLd1DX64UmPxj6d8zG2E6DC63gGU8wpaNlYucV7a8fM37hxxJbFrcER0yFOf+sLjjr72v03ZCXAHGcXN7goaaEAGqJE5JswS8Un11dKvT2TOtQr1RXTYbLIRIOiHWjfcfrUgNdxDBbH1di3l7jPfONZ3dJRjPU6HgIArNz6nbfTLXNO5L3qihnI4pQAot5aUlT4+nfHj53ndRz5ItChm775jPtK1Ys6urAj8+kfQ01z0biP142e98na0fNiTaWTxrlOYBbMVJ1MfHD2tfvPHtAAc4id6jROVZNXrKQhSESOAPBowgpd3W/PpA71WnVFHYZZ7wJ5Z4PjrF8wbXKq5ZOHtGC7Np/9oPvSru/qTgKUeB3PMPfQ1u+8XeV1EETdqq5YDTARTN54MxB4/+hJ44fNF+xs2qbWXXbiY27dlLXYSYAhsTBEX0V9waYNI7Z6f+2Y7RvqKmcXtwUqZkFkRJrNbzn72v2PHdQAiXIUa+pQX7wGYEFPGxFlQ73PaYIpZjastAWk5PeH+RaMbNDVF94Te3XGKhZT9tASrwMgysDzAL7mdRA0PI1wY+x86KM3Q87cC051ULZJN3xnofvcgjd0ut/FVK/j8oI/1lY6dt3S7ceuM2XsFNDmkokfrh09f+W6Udtoc8mECa5TMBOmSMwL3kZLlDuY1KG+WAImdWiQbHScYb3s94ZyGXfxSf5xMz/X9y+6K9YwornLSkk0OFKtukCUa54DkzrkkfKYOyQXNBhMjcUy8rqv+hZcd7DqXsv0pe8sdHVUI3Yczh06Akhp88oZpc0rZ0xf8RAAoMNfVL9h5Jz36ypmPQ3s73GERLlh2P6ToH5Z6HUANHxs9Plae95q6Fs+QWaf8X3/jn/4uvNymx/veR3PMNKADFceIPLYc14HQMNXqWoZVF2v4xgSROSpbZydvnuOf+fvn+lb+dIsWeQK1nodVq4oiLZUjFvz8tZbvn/HcFuVkigtjtShvngGZkm/YVO8lryz0ed0eB1DLnlmjrPjs1uLe/hT7lOHPa2zfIrxXsc0xC3e+p23Y14HQZSBFwC4YIcdeUDMksUNYM3FrFo9Qib/5gjfZH9M2w9+UZ/55rNuaWkrWJAaeG7rd96Oeh0EUa7giZ96r7q+BewRpEGywfG1ex1DrlER5669fXudcL6v/OmtZZECTV7HNIQ94XUARBmprm8CsMzrMGj48vFcNGCiPgn8Zzdnj5N/4J938Ym+99+biCXD/NzPWndECZjUob5a6HUANDxs8DkcJZFGe4EUX/0N34Izz/Ft+mAClijA1yr7mNShfPKs1wHQ8OVXHdY18AbL8gky+5IT/Huf+EOf/mcXWdzuxwdex+QBLutNlIBJHeorFg6lQbHR51OvY8h1G8tk7I9P9O/9o5N8tevL8KLX8Qwh6wC87nUQRL3wqNcB0PAVVG3xOobhpCUoZTcf4Nvn2Av9s2qOcF5fORLPKjAcpqx3gDMGiLpgTR3qq2cBtAIo9DoQGtrqHEe8jiFf1I6XmWed45+56zvuK2c/6JYUdmBLr2PKcwu3fudtJhUpnzwKIAq278gDRaptDV4HMUy9MsuZ98osB5VNuva4J9xle7ylW/gUE72Oa4C8vPU7bzOBSJSAI3Wob6rr28AsOQ2CBp/D/1O99PxWzg4nnO+bffs+ztMxwedex5PHOPWK8kt1fT3MYgZEg67EVdbA81hdqYz506G+fY+5yDfu2oOdFzaW4GUFhlrnBM/NREn4ZYn6g1OwaMA1Oo7P6xjykYo4/97T2fOE832Vi+fKIgUavY4pD7HhSPnoIa8DoOGpzHVZ1+3/27vzOLfKsv/jnyuZ0palQ8sme6EoVlkKgiBbUURA0UcfF8ACQWUTF8oqbnBc4REQ5fEnioqigoqPoAVEWYQCAsrWegotaFkKWChQerrSJbl+f5wzNg3JzHQmM/ec5Pt+vfJqcnKWb1qYTK7c93UPEZWCFf8yofDWkz7b8ZbTTyjOmb6dTXV4JXSuJrk+dACRoUZFHemP20IHkNa31Gyd0BnybMUwG/m99xUnnviZ4qvZahlaArR3nhs/a+ZjoUOI9MFNoQNIe9qwUq6EziCv9dzGtu03jixOPPqs4sjf7F/469J1eDR0pn6YB/w9dAiRoUZFHemPe0l/uIoMmGVWGB46QytI1rdNvlTq2P/sjxeffmmUfiHqBY1ElHyKkn8Az4aOIe1ntGo6Q9rKDhvxu/0K+x53Rsebzj26OPOJzbjbIW+9aW4cP2um/kMTqaGijvRdlFSAKaFjSGtbYbZu6Ayt5OnNbNwpn+p467c+WJi2bBgzQ+cZwjT1SvLsT6EDSPsZXa7oc0VOzNraxp/z8Y79PjG5uPzPu9vUlUWeDJ2pl/S5Q6QO/fCV/ro2dABpbauM9UJnaEUPvKEwoXRG8Y1XHVi4p2w8FzrPEFNBU1gk39RXRwbdmHJZq67lzOKRtuFPDilOnHRWcey331946IVO/uYwVHsjLSdd4U9EauiHr/TXbUACdIYOIq2pgoo6A8bM/vA22+ePe9qrJ/ypMnVi7LsZjAodawi4a/ysmc+HDiHSD7cCK4FhoYNI+xhTKeu/t7wys/vG2+73jS+wceJzS7dVHt/zcX9jwdksdLQqfxk/a+aS0CFEhiKN1JH+iZIVwI2hY0hrqqQjJtYPnaPVreywEd8/vDjxxM8WV8zcijvVTJnfhg4g0i9Rsgi4K3QMaS9jyhX1wGsBL3Xa5hf/d3HipLOKY644uHDvwpFMC50p06/ZAWa2tZk9aWZjssejs8fbmtlYM1tmZtPMbLqZ3WNmO5rZIdm2aWa22Mwey+7/vM75N6ra93kze67q8TpmdoWZzTOzGTXHjTGzW8zsn9mfoxvk39zMbsjur2tmV5lZbGYzzOxuM1s/e25x9mf1a3rUzH5gZoUets+out5bzezO7DXPMrMfW1VLBDP7g5ndW5MxMrOlZrZp1bauPOtk59OgkgGgoo40g6ZgyYBYVLBFmFnoHO0iWc82Pu+YjgPOOL74zLzOtm2mXAH+L3QIkSb4TegA0l5GlysjQ2eQ5ikXbdif9ii87fjJHRPO+nhx9sytudNhYaA4q4Dr+nMCd38GuAy4INt0AXC5uz+dPZ7t7hPcfVfgSuAL7v7nbNsE4AFgUvb42Drnf7lq3x8Al3Q9dvcVwM+AQ+tEOwe4zd1fTzoD4pwGL+F04EfZ/VOBF9x9Z3ffCfgE6ejMWrOzPLsAbwLe38N2AMxsM9IvuD7n7jsC40l7tW2QPb8hsDuwoZltV3PNl4AzaoNkfwe3AUc0eH3SDyrqSDPcRP6650sOLCwUF4XO0I6e3cS2+/QpHW89/8OF6cvyvfRpX9w5ftbMF0KHEGmCa0h7UIgMig0rZU2XblFPb2bjzju644BjzygWr3ub3bW8g8cGOcLt42fNfLkJ57kE2NvMJgP7ARc32G8U8EoTrvcf7n4nML/OU/9FWkQi+/P9DU7xQVY3wd8cVvdDdPfH3L3hz3t3XwXcA+zQm+3Ap4Ar3f3ebD939/9z967fjz4IXA/8Gjiy5tgrgCO6RkTV+D0wqVFO6TsVdaT/omQp8OfQMaT1LCgUVCwM6OEdCruWTi+O//k7CvesKrTNEsmaeiWtIUoWoIbJMohGlSuaLt3ilq9j6/3qwOL+x5zVsePXjyjMeGZj7vHBKR435b3Z3VcCZ5EWdyZno0e6jMumJM0mHRXz7UbnMbM9zOzHzcgEbObuc7N8c4FNa3fIRsO8UlW4uQL4nJnda2ZfN7PXd3eBbNrUQUDcm+3ATsCD3ZzyKOBX2e2omucWZ/lOrXPcDGDP7rJK36ioI82iKVjSdAuKKuoEZ2Y37FXY59gzipvctqtN9bQxeqsqA78LHUKkia4KHUDax/ruG+BeCZ1DBsc/ti/sdMYJHfuc8Nni4tt3samrCjwzQJfq99SrGocBc0kLF9W6pl+NAyYDlzc6gbs/4O7HNzFTTzYHXqy6/jRge+BCYAxwv5mNr3PcODObBvwVuNHdb+phe4+yqVk7AHe7++PAKjOr/bu8FCiZ2RqLb7h7GVhhZhv09nrSOyrqSLNMAV4NHUJay/xiUVMHhohVHTb8h+8uTjz+1GL5kW240+vP3c67WzT1SlrMDcCC0CGkPRgYoGnTbWbherbRZe8pTpx0dnHL7x1euP/lDbjf0/50zXLH+FkzX2rGicxsAnAwsDdwmplt3mDXKcABzbhmL7zQlSP7c16dfZYBI6o3uPtid7/W3U8Bfgm8u85xXYWq3dw96sX2Lo8Ab2mQ9whgNPCkmT0FjKVmCpa7LwCuBk6pc/xw9Jmx6VTUkeaIkgQ1F5Umm18srOh5LxlMi9a1MV+Z1HHA6ScU//3ChtwXOk+TvWY1i7WhlTW0ssaQEyXL0XuzDKKiijpty80Kd+5c2POTn+7Y87MnFf/90DibWkmb5vZXU5q+W7rwxmWk067mkI5yuajB7vsBs5tx3V6YApSy+yXgD3X2eZy0eAKAme3b9V5uZuuQNjt+us5xffU90pE2e1Vd82gzex3pdKtD3X2su48lLf7U9tWBdPraSUBH1Tk2Al7MpsFJE6moI83UrLmlIgDMLxTLoTNIfc9tbNt+5pMde3/jI4V/LF2HR0LnaYJFpA38+kwra2hljSHql6EDSPsY5r40dAYJ74UxttUFHylOPPqs4gZXHVi4Z8lwZvR8VF2LSZvxNsMJwBx3vyV7/H3gjWY2MXvc1VNnOvBNoOH0qr701DGzXwH3Ajua2bNm9onsqQuAg83sn6SjiC6oPdbdlwCzzayrofE4YKqZxcDDpL8/NG36eNYQ+UjgouyLl5nA/qRTvbaB1V/qufuTwMLqAlC2/SXSaXPDqza/HfV6GxDm7qEzSCuJOh8D3hA6hrSGL208ZuofNlh/Ys97SmiH3V+595i/VLbsqLBN6Cx99NPxs2Z+vL8nMbNhpM0FryD9BXI3d19hZmOBG7ICCWZ2FrClu0+uOvYO4Ex3f6AX14mAxe5+Uc32Na6TbXsMONDd52ZDu+/ICim153wCGO/uy83sUuBpd3/NyiBmttjd16/zmi4gXdnjmp62m9lXAdz93Aav7xOk3/69AKxw9/OrXjfAccDu7j6/K0/2/K7A+e5ebxh6e4o6jfQb3K1DR5HWt+82W05fWCzuGjqHDD07POePfeyW8rwd5rK7QW9XSvvR+FkzTxzQYDlhZh8A3uLuXwqdpa/M7Frg8+4+2KuntTyN1JFm+0noANI6FhQLqjrnxE17Ft527JnF1928m031fPbw6NfUqy5aWUMraww5UeKkvQ1EBtzIbpZVlvb2ry1txy8e17H/cacVyzfuaVNXFHs1velHPe/SHtz9OuCp0Dn6Kpsm9nsVdAaGijrSbD+jNRuoSgBJoaifUTmyqmjr/PjQ4sRPnFr0eFub6pCXnkhPA1ObeD6trKGVNYaaphQtRXqyfkW9MqR7y0bYqCvfWZx49Nkd4771wcL0uaO5t8HiC9PGz5p5/6AHHMLcPbetLtx9hbvrvWiA6AOTNFeUzAOuDx1DWsOiQqEYOoOsvcXr2uivfbQ4cfKJxefnjubeno8I7vLxs2Y2ZVSYaWWNnrZ30coagylKHgX+EjqGtL4NKhX1wpNee+ANhV1PPbnjbZ/8VHH+3W+yO8rG3KqnNUpHpJdU1JGBkNsqsgwtiws2LHQG6bu5G9k2p57c8bavHVmIlwx/zfSboWIpadPhftPKGmtFK2sMvktDB5DW11kpN3Mpa2kT80fZZpf+V/HASWcXN7380MLfXlmP+1CTd5FeU1FHBsKfgTmhQ0j+vWo2oue9ZKiLtyvs/LHTO3b+ybsK960qNLUw0Aw/HT9r5vwmnUsra/SSVtYI4nrgidAhpLWNVk1H+qFSsOKtuxX2OumzHfH4WTMXhs4jkhda/UoGRtR5HhCFjiH5tue2Wz32aqHwmlV6JL+KZV957G2Vew550HcupB/gQ6oAbxg/a+ZgjZgZ0rSyRhuIOk+jmwbdIv11yegN77piw1H7h84hubdzXIr7ugy6SNvRSB0ZKD9EPQ2kn1aa9XbJS8mJctGG/fRdxYmfmFwsTt/OpjqEXCnlDyrorKaVNdrCFaSrh4kMiI3KZfXCk/66QwUdkbWjoo4MjCh5HrgydAzJtwqsHzqDDIwlI63zG0cWJ372pOKLz43hHocQw0Y1YqGGVtZocVGSoPdmGUBjyuV1QmeQ3Pvf0AFE8kZFHRlIFwJaBUH6zEHLEre4F8bYVqed1LHPVz9aeHTRCKYP4qX/Pn7WzLsH8XoiQ8X/EqaIKm1gdKUyvOe9RBqaQ/1m/iLSDRV1ZOBEyWya2FhT2ssSsyWYaRh3m3hk28KbP3Fax66XH1r428rCoEwBungQriEy9ETJY6QLGog03ehyeWToDJJr34lLsb4QFllLKurIQHvNKisivbGoUFgUOoMMvlt3K+x17JnFLW/cw+6swMsDdJmnUMFZ2puWN5cBsWGlol540lfPAz8IHUIkj1TUkYEVJQ8Dt/S4n0iNBcXCktAZJIxy0YZdeXDxgI+fVux4aJxN9eY3Xf/u+Fkz9U2gtLM/AdNCh5DWM6pcUS886asL41K8LHQIkTxSUUcGg0bryFpbUCjojb3NLR1hnRd8pDjxM58svvzMxvy1Sc2UE+AnTTiPSH5FiQPnhY4hrWc99/Vxr4TOIbnzAnBZ6BAieaWijgy8KPkLcH/oGJIv84vFZo/OkJyat6FtecYJHfued3Rx1qKR/R5d8KPxs2Zqap9IlExB783SZAYG6GesrC2N0hHpBxV1ZLD8T+gAki/zi4WVoTPI0DJraxv/ickdEy57d+HvK4s80YdTLAe+2+xcIjl2bugA0nqKKurI2pmHRumI9IuKOjJYrgMeCR1C8uOVQnFV6AwyNN2+a+Gtx5xZ3GbKW+3OCry0FodeNn7WzGcHLJhI3kTJn4B7QseQ1jLMfWnoDJIrF8alWP/NiPSDijoyOKKkAnwxdAzJj/nFgubkS0OVgnX88qDiAR87rbjOAzvYVIeehm0vBL4xGNlEckajdaSphrtrGo301jzg+6FDiOSdijoyeKLkD+gbQemlV4rFZjTFlRa3bISN+taHixM//cniK3M26baZ8kXjZ81cm1E9Iu0hSm4DpoaOIa1jpPvy0BkkNzRKR6QJVNSRwXZO6ACSD0mhoJ9P0msvbmhbnHl8x75fPqb4WLIuD9c8/QLw7RC5RHLiy6EDSOtYr1JRTzzpjRfRKB2RptCHJhlcUXIX8MfQMWToW6SijvTB41vZG084tWO37x1euH9FkdnZ5q+NnzVzSdBgIkNZ+t58S+gY0hpGVSrl0BkkF76pUToizaEPTRLC2YDe8KVbiwuFjtAZJL/u3Lmw57FnFsdO2cuuBS4PnUckB75A4+mLIr3WWa6oJ5705FHge6FDiLQKFXVk8EXJI8BPQseQoW1pwYaHziD5VilY8ZfvKP5y/KyZmgog0pMoeQC4InQMyb/RqulIz06NS7FWORVpEhV1JJQvA4tCh5Cha7nZiNAZJPduj0vxdaFDiOTIOcAroUNIvo0ul/X5QrpzbVyKbw0dQqSVdPtD18y2NrMnzWxM9nh09nhbMxtrZsvMbJqZTTeze8xsRzM7JNs2zcwWm9lj2f2fd3OdcrbPI9m5TjezQvbcgWaWVJ1zmpm9s+a4rts52fY7sutON7O/mtmOda75s+y1TDOzWWZ2XtVzd5jZHjX7P2VmG1c9PtDMbsjuH2dmL9ZkeVOda440s6lmVjSzgpldamYzzCw2s/vNbLvaa1W9xhlm9lszW7eH7YurrvcGM/ujmf3LzGaa2TVmtlnV8981s+e6/q6rXkvFzHap2jbDzMZm9281s9GN/i17LUrmAef3+zzSslZm/02L9FEFOC10CJFciZKX0BLn0k8blSuaPi2NLANODx1CpNV0W9Rx92eAy4ALsk0XAJe7+9PZ49nuPsHddwWuBL7g7n/Otk0AHgAmZY+P7eZSy7J93gwcDLwbOK/q+bu6zpndbq05rut2QdUxk6pyXdjgumdlOScApa6iSh/9pibLo3X2+ThwrbuXgSOALYBd3H1n4APAgjrHdL3GnYAVwMk9bAfA0lEONwKXufsO7j6e9N9yk+z5QnbNZ4ADaq75LPDFBq/zF8ApDf8W1s4l8J9GpiJrWAUq6kh/XBGX4umhQ4jk0GWA/t+RPhtTLq8TOoMMWd+KS/HTPe8mImujN8MjLwH2NrPJwH7AxQ32G0UThuy6+zzgRODTZmb9PR9wJ7BDD/t0TfMY6NVRJgF/yO5vDsx19wqAuz/r7j39/d1F/ddSb/tHgXvd/fquDe5+u7vPyB6+HZhB+svbUTXH3gC8ud4IJ2BKnf37JkpepaYYJdLF058pIn2RAF8KHUIkl6KkDHw6dAzJrzGViqZPSz1PA/8TOoRIK+qxqOPuK4GzSIs7k919RdXT47IpQLNJh9J9u9F5zGwPM/txb0K5+xNZtk2zTfvXTG0al20fWbP9iDqney8QN7jUhWY2jXRkyq+zglJfHVGTZWT1k2a2DrC9uz+VbboGeG+278Vmtlt3JzezDuCw2tfSaDuwE/BgN6c8CvgVcB1wuJkNq3quAnyLdCWMNWSFp+FmtlF3eXstSm4lHf0j8h8rYDmmRsnSZ2fEpfiF0CFEcitK7gZ+GTqG5NPocnlkz3tJGzo9LsXLQocQaUW9bWR2GDCXtFBQrWv61ThgMt0sG+vuD7j78WuRrXqUTu30q64pO7XTr35TdcxVWcFmX+DMBtfomn71OuAgM9unmzz1lvms3lY7/ar2h9bGVE2vcvdngR2Bz5MWUW4zs4PqXGNk9joeAOawetWoRtt7lBWY3g383t0XAn8D3lWz29WkI7TqTUmbRzp1rFlOB15q4vkk5xYWCwtDZ5Dcui0uxVpdT6T/zkILGkgfbFiuaPq01Lo1LsXXhg4h0qp6LOqY2QTSPjd7A6eZ2eYNdp3Ca3uz9ImZbQ+USYsHfdXVy+f9WW+ghtx9MXAH6fSyRl4GqhsEj2HtChHLWD3Nq+u6y939Jnc/C/gm8P56x1UVij5TNVKq0fYujwBvaZDlUKATiM3sKdLXvcaUKndfRTrV7nN1jh+RvZ7mSBszntG080nuJYXC0tAZJJeWACeEDiHSEqLkeeAroWNI/oyqVDYInUGGlFXAZ0OHEGllPa1+ZaQ9Vya7+xzShsMXNdh9P5rQ9NbMNgF+AHzP3euNjmm6bArTXnSf/w7gmGz/InA0cHtvr5FNWypmDYwxs93NbIvsfgHYhXSuabNcDexjZu/p2mBmh5rZzqQFnOPdfay7jwW2A95lr11t6GfAO8maK2fnMNKRTU81MStEyc8BLW8oACwoFFXUkb74UlyKnwwdQqSFfBf4R+gQki/rua9PuiiICMD/xKV4ZugQIq2sp5E6JwBz3P2W7PH3gTea2cTscVdPnemkI00aTq/qoadOV2+cR0g/2N/Mmt8O1fbU+VDNcV23C15z5u519dT5B2lPmuphgTea2bPZ7bfA14Adstf6MPAv1pxvXttTp95UrptZPRpoU+B6M5uRXX8V8L21zN9QNv3rcOAzZvZPM3sUOA5YCBxCujJW175LgLtJ+w9Vn2MFcCmrextBOvrnvmwkT7OdTDNHAEluvVIsvBo6g+TOfaQ/r0SkWaJkFenvDisDJ5GcMU3dk9Q0NOJPZMDZIA2GESBrhny6ux8TOktfmdl3gSnuftuAXCDqPAc4f0DOLblxzQbr3/e1jcfsHTqH5MYKYLe4FD8aOohIS4o6I+C80DEkPyaM3frZstlWoXNIUMuBPeJSPKPHPUWkX3rbKFmawN0fBm7Ppm/l1YwBK+ikLkJDvdve/GJhIEaCSev6ugo6IgPqG6TfuIv0yrB0FLi0ty+roCMyOFTUGWTufoXneJ6xu/9oQC+QDvU+lrS6L21qfqFYCZ1BcuMfwNpOvRWRtRElK4ES6ag4kR4Nd9c06vZ2F+mCKyIyCFTUkaEnSqYDZ4eOIeEsKBZU1JHeKAMfj0ux+n2IDLQo+QdwbugYkg8j3fXlXPtaDJTiUqzf5UQGiYo6MjRFyaXADaFjSBgLigULnUFy4WtxKX4wdAiRNnIhcGfoEDL0rV+pqNjevk7XSpQig0tFHRnKPgbMDR1CBl9SKOhnk/TkVtJVCUVksERJhXSK9MLQUWRoG1WpqDdee7oxLsUD26pBRF5DH5xk6IqSl4BjAA3fbDOLC4WO0BlkSJsLTNLQbpEAouRp4FOhY8jQ1lmuaHnd9vMycHzoECLtSEUdGdqi5DbS4d7SRpZaYZ3QGWTIKgNHxaV4XuggIm0rSn4J/DR0DBm6RldUc29DJ8Sl+PnQIUTakYo6kgdfBv4eOoQMnlcLNjx0Bhmyzo1L8dTQIfLAzLY2syfNbEz2eHT2eFszG2tmy8xsmplNN7N7zGxHMzsk2zbNzBab2WPZ/Z93c51yts8j2blON7NC9tyBZpZUnXOamb2z5riu2znZ9juy6043s7+a2Y51rvmz7LVMM7NZZnZe1XN3mNkeNfs/ZWYbVz0+0MxuyO4fZ2Yv1mR5U51rjjSzqWZWNLOCmV1qZjPMLDaz+81su9prVb3GGWb2WzNbt4fti6uu9wYz+6OZ/cvMZprZNWa2WdXz3zWz57r+rqteS8XMdqnaNsPMxmb3bzWz0Y3+LdfSKYB6WkldY8rlYugMMqj+Jy7F14UOIdKuVNSRoS9dSvUoYFHoKDI4VmAjQ2eQIelPwPmhQ+SFuz8DXMbqJd8vAC5396ezx7PdfYK77wpcCXzB3f+cbZsAPABMyh4f282llmX7vBk4GHg3cF7V83d1nTO73VpzXNetemn6SVW5Go3WPCvLOQEodRVV+ug3NVkerbPPx4Fr3b0MHAFsAezi7jsDHwAW1Dmm6zXuRLoc+Mk9bAfAzEYANwKXufsO7j6e9N9yk+z5QnbNZ4ADaq75LPDFBq/zF6TFmP6LkleBD5JOuRBZw5hyRUWd9nEz8IXQIUTamYo6kg9R8gSap9s2Vhnrhc4gQ86zwDFxKVafhrVzCbC3mU0G9gMubrDfKOCV/l7M3ecBJwKfNrNmrGJ3J7BDD/uMyP5c0oTrdWcS8Ifs/ubAXHevALj7s+7e09/fXdR/LfW2fxS4192v79rg7re7+4zs4duBGaSFnqNqjr0BeHO9EU7AlDr7913aX+co1PtOaowplzWNuj08STolWj8DRAJSUUfyI0quAb4eOoYMvApsEDqDDCmrgCPjUvxS6CB54+4rgbNIizuT3X1F1dPjsilAs4HTgW83Oo+Z7WFmP+7lNZ8g/f1i02zT/jVTm8Zl20fWbD+izuneC8QNLnWhmU0jLfj9Oiso9dURNVnWGC1oZusA27v7U9mma4D3ZvtebGa7dXdyM+sADqt9LY22AzvR/dSmo4BfAdcBh5vZsKrnKsC3qPPNeVZ4Gm5mG3WXd61EyS3Al5p2PmkJo8sVTaNufUuBD8SleH7oICLtTkUdyZtzgWtDh5CBU4YyZhqpI9W+GJfiv4YOkWOHka4YtlPN9q7pV+OAycDljU7g7g+4+9qMlqwepVM7/Wp2tr12+tVvqo65KivY7Auc2eAaXdOvXgccZGb7dJOn3giv6m2106+W1ey7MVXTq9z9WWBH4POkRZTbzOygOtcYmb2OB4A5wE962N6jrMD0buD37r4Q+BvwrprdriYdoVVvSto80qljzXQB8Psmn1NybHSlvG7oDDLgTohL8fTQIUQEtGyw5EuUOFHnscA4YNfQcaT5FhcKi4ANQ+eQIeO3aAW8PjOzCaR9bvYG7jazX7v73Dq7TqFJqxmZ2fakq5TNA8b38TST3P2B3uzo7ovN7A7S6WX3NNjtZWA00DXaa0zV/d5YxuppXl3XXQ7cBNxkZi8A7wduqz0uKzy95nwNtnd5BJjY4LlDgU4gzma4rUv6jfmNVdlWmdnFwOfqHD8iez3Nk743l0gXNag37UvazIblir6caW2XxKX46tAhRCSlkTqSP1GyBHgf6QcGaTFJobC4572kTfwV9dHps6ynzWWk067mkBbHLmqw+37A7AbPrc01NwF+AHzP3Qfl3y2bwrQX3ee/Azgm278IHA3c3ttrZNOWilkDY8xsdzPbIrtfAHYBnu7mFGvramAfM3tP1wYzO9TMdiadenW8u49197HAdsC7ulbQqvIz4J1kzZWzcxjpyKanmpg1FSULgf8G9DNc6KxUNI26dd0OnB06hIispqKO5FOUzCH95XFFT7tKviwoFga62ankw+PAf8WleHnoIDl2AjDH3W/JHn8feKOZdY0A6eqpMx34Jt00o++hp05Xb5xHgFtJV0L5StXztT11PlRzXNftgtecuXtdPXX+QdqTpnpq7o1m9mx2+y3wNWCH7LU+DPwL+GXV/rU9depN5bqZtPgFab+g681sRnb9VcD31jJ/Q9n0r8OBz5jZP83sUeA4YCFwCGuOylkC3E3af6j6HCuAS1nd2wjgLcB97r6qWVnXECWPkhbMygNyfsmNdd3XY6D+O5OQngGOiEux/m1FhhAbpC/SRAZG1Pkx4IrQMaR5po4cMf3Tr9tUU+va24vA2+JS3O+RIyLNkjVDPt3djwmdpa/M7LvAFHevnSbWXFHnyaSjxKSN7TJ261fcbHToHNI0i4AD41L8UOggIrImjdSRfIuSn9LNii2SP/OLRY2+am/LgPepoCNDjbs/DNyeTd/KqxkDXtABiJIfoNUq215RU/FayXLg/SroiAxNKupIKzgLrYjVMl4pFlTUaV8V4Oi4FN8XOohIPe5+hbvndmqRu/9o0C4WJV9GI2nbWof70tAZpCkqwKS4FP8ldBARqU9FHcm/KKmQNo68OXQU6b/5xWJuPzBJv50Rl2IVaEVax0nAH0OHkDCGp72hJP8+GZfi34UOISKNqagjrSFKVgAfoPFytpIT8wuFSugMEsSlcSn+TugQItJEUbIK+DDpUufSZtZNm3VLvn05LsWXhw4hIt1TUUdaR5QsBd4DTA8dRfpuQTHP7Sqkj34PnBY6hIgMgNXvzf8MHUUG13qVysrQGaRfLo1LsXpjieSAijrSWqJkAfAu0uWQJYeSQkFVnfZyI+nyqBqhJdKqouQl0qXYXwgdRQbPqEpFy17n19XA5NAhRKR3VNSR1hMl84CDgWdCR5G1t7hQ0M+l9nED8N9xKdYQfZFWFyVPAgcB80JHkcHRWVatPqf+BBwXl2IPHUREekcfnqQ1Rckc4J3ol8fcWVKwdUJnkEFxPfBBFXRE2kiUPAIcCDwfOIkMgjEq6uTRPaTvzZo6J5IjKupI64qSx0mnYs0PHUV6b5nZ8NAZZMBdD3xIBR2RNhQlM4GJwL9DR5GBNaZS1ueMfPkLcEhcirUUvUjO6IettLYomY6+FcyV5WYjQ2eQATUFFXRE2lv6pctENE26pY0pVzpCZ5BeuwF4T1yKF4cOIiJrT0UdaX1REgP7AU8FTiK9sMps3dAZZMBMAT6sgo6IECX/Ii3sPB06igyMMeXysNAZpFeuIe1v92roICLSNyrqSHuIktnA/sCs0FGke2VYP3QGGRAq6IjImtLmyROBJ0NHkeYbUy6PCJ1BenQFcJR66Ijkm4o60j6i5FnSws5DoaNIfQ4ObBA6hzTdH9CUKxGpJ0qeJi3szA4dRZprw0pF06mHtkuB4+NSrI7WIjmnoo60lyh5CXg7cFfoKPJaS8wWY6afS63lMrSShoh0J0qeAQ4ApoeOIs2zYbmyXugM0tA341J8qpYtF2kN+vAk7SdKFgKHAH8KHUXWtLBYUIO+1uHAWXEpPiUuxeXQYURkiIuSf5OOptV7c4sYValo5O3Q9Pm4FH8xdAgRaR4VdaQ9Rcky4H3Ab0JHkdUWFApaRrM1vAp8JC7FF4UOIiI5EiWLgPcCPwwdRfpvXff1cF8VOof8Rxk4JS7FF4QOIiLNpaKOtK8oWQkcBXyVdFSBBLagUFRRJ/9eBN4Rl+L/Cx1ERHIoSlYRJScDZ6P35twzWBQ6gwDwCnBoXIovCx1ERJpPRR1pb1HiRMl5wJHAstBx2t0rxcLy0BmkXx4H3haX4ntDBxGRnIuSC4GPkI78k5wqqqgzFMwC9opL8a2hg4jIwFBRRwQgSq4B9gOeDR2lnc0vFrU6Un7dRVrQ0Qo2ItIcUfJ/pIsbvBg6ivTNMHeNwA3rJmDvuBT/M3QQERk4KuqIdImSh4A9gb+FjtKu5hcLaqibT78CDo5L8fzQQUSkxUTJfcDewGOho8jaG+6ukVbhXAwcHpfiJHQQERlYKuqIVIuS54EDgV8GTtKW5heLldAZZK2UgS8Bk+JSrKlzIjIwouQJ0sLO7wMnkbU0suJ6bxh8y4Hj4lJ8ZlyK9XuVSBvoCB1AZMiJkleBY4g6HwG+gYqfg2ZBoaCmmPkxFzgqLsVTQwcRkTYQJQuADxB1ngFcgH6HzYX1vbIydIY28wLwAfW2E2kv+rAq0kiUXAAcjubyD5qkULDQGaRXbgEmqKAjIoMuSi4GJqIeeLkwqlzRtOrB8yCwpwo6Iu1HRR2R7kTJTcAugFYMGAQLi4Vi6AzSrTLwZdJlUeeFDiMibSpK7gF2A/4UOop0r7NS0QjcwfEdYJ+4FD8TOoiIDD4VdUR6kvbZeRfwOUDDiAfQYisMC51BGpoLHBSX4q9rjr6IBBclLwHvJi00azTIEDW6XNEI3IH1Emkz5NPiUqwVREXalIo6Ir0RJU6UfAvYF9CSzQNkWcGGh84gdWm6lYgMPel789eBg4HnQ8eR1xpTKeuzxsC5Hdg1LsU3hg4iImHpB63I2oiS+0mHfGt1rAGw3FTUGWLKwLloupWIDGVRcjvpe/MfQ0eRNY0pl9XQuvlWAOcA74xL8b9DhxGR8PSDVmRtRcki0tWxbgb+H7BB4EQtY6XZuqEzyH/MBD6hhosikgvpVOn3EHUeS9pfZHTYQAKwUbmyTugMLWYGcHRciqeHDiIiQ4dG6oj0VZT8gvSbQU1JaZIyrB86g7AS+CrpdCsVdEQkX6Lk58CbgSmhowiMKZdHhM7QIhz4NrCHCjoiUsvc1ZRepF+iTgNOBL4FjAqcJtd2Hrv1SszULDmcvwPHx6U4Dh1ERKTfos6PApcCG4WO0q4eGzbsiQ9ttfn2oXPk3GPASeprJyKNaKSOSH+ljRp/CLwJuD50nLx61exVFXSCWQqcAbxNBR0RaRlRcjXpqJ3fhY7SrjasVNYLnSHHlgFfAnZRQUdEuqOROiLNFnV+CPgusEXoKHnyYrHw4ju22WqT0Dna0G3AiXEpfiJ0EBGRARN1fpi0D57eZwbRMrOlbx27tfrlrb0bgc/EpfjJ0EFEZOhTUUdkIESdGwBfBz4FFAOnyYV/DRv25Ae22ny70DnayALgjLgUXxE6iIjIoIg6NyLtGXYSem8eNDuP3XoVZlqcpXeeAU6NS/F1oYOISH5o+pXIQIiSRUTJqcBewP2h4+TBK8XCstAZ2oQDVwLjVdARkbYSJS8TJZ8CJgC3Bk7TNgwWhs6QAytJezOOV0FHRNaWRuqIDLS0kfJRwDeAsWHDDF03rzvyoTM222T30Dla3J3AaXEpfih0EBGR4KLO9wIXA68PHaWV7TZ26zmrzLYJnWMIuxM4JS7Fj4QOIiL5pJE6IgMtbaR8NbAjaTPa+YETDUnzi8UVoTO0sCeAD8aleKIKOiIimSi5nrSR8hlAEjhNyxrmvjR0hiFqNnB09t48IAUdM9vazJ40szHZ49HZ423NbKyZLTOzaWY23czuMbMdzeyQbNs0M1tsZo9l939e5/wbVe37vJk9V/V4x6r708xsoZlNbpBzspkdm93f28z+lh0z08yibPtxZva97H5Uda0ZZva+Xmw/s+p6Z5rZrGyf6V3Xzp7bxMxWmtlJNRmfMrPfVT3+kJn9LLt/uJl9pU//SCJNoKKOyGCJkhVEybeBccCFwKuBEw0prxQLq0JnaEEvAZNJh3NfGziLiMjQEyUrs/fm1wM/BMqBE7Wc4e76fWdNzwInAm+MS/FVA3khd38GuAy4INt0AXC5uz+dPZ7t7hPcfVfSqdlfcPc/Z9smAA8Ak7LHx9Y5/8tV+/4AuKTrsbs/VvXcW0hX2nzN1DJL+y19HLg623QlcGJ23E7ANQ1e3iXZPh8GrjCzQg/bu653MnAw8FZ33wk4ALCqXT4M3Ec6yr7WHmb25jrbbwTeZ2ZqCi5BqKgjMtiiZAFRcjbpyJ1fAJXAiYaE+cWifpFuniXA14Dt41L83bgUaxSUiEh3ouRFouRkYDfg94HTtJR1K748dIYhYh7pFy07xKX4R3EpHqwvsy4B9s5GyexHOuWwnlHAKwOU4SDSAtLTdZ57B/CQu3f9fWwKzAVw97K7P9rdid19JrAK2Lg324EvAKe4+8Jsv8Tdr6x6/ijS0XtbmdmWNcdelB1fm8GBO4DDu8sqMlBU1BEJJUrmECXHkn578afQcUJ7pVBQg6/+W066ZO+4uBSfG5fiRaEDiYjkSpTERMkHgN2BKaHjtIL1K5WVoTME9grweVZ/0TKoRS53XwmcRVrcmezu1V/0jMumKs0GTge+3eg8ZraHmf24jzGOBH7V4Ll9gQerHl8CPGZm15nZSWY2orsTm9lepF+QvtjTdjPbANjA3Wc3ONfWwOvc/e+kI4SOqNnlGmB3M9uhzuEPAPt3l1VkoKioIxJalEwjSg4jLe5cQ5sO/V5QLFrPe0kDCfA/wHZxKf50XIpfCB1IRCTXouRhouS/SN+bp5CuHCh9MKpSacvfa4BFpKNmt4tL8QVxKV4SMMthpKNfdqrZ3jX9ahzpKKLLG53A3R9w9+PX9sJmtg7wPuC3DXbZnKrCi7t/FdgDuBn4KI2/+DzNzKaRjp45wlev/tNoO6TTrLr7f/lIVk/3+jWvnYJVJm2h8Pk6x84Dtujm3CIDpiN0ABHJRMlDwBFEneNIv1E5DhgeNNMgWlgoqMi89p4DvgP8UKNyREQGQPre/F9EnTuTTrv4MFAMGypfOiuVdiuILSAtjlwYl+KXAmfBzCaQ9pDZG7jbzH7t7nPr7DoF+OkARDiMdHpVoy+clgFrjMbJRtJcZmY/Al40s43qHHeJu1+0Fttx94VmtsTMtnf3J+rschSwmZlNyh5vYWavd/d/Vu3zC9KiTm1z6xHZaxEZdPoQJTLURMnsbF7/WNLRFwvDBhociwumInPvzSRtKrh9XIovUkFHRGSApdOyjgLeCPwYUK+yXhpdLrfLSNxZwCnAVnEp/twQKegYaaPkye4+h3SUSd2CB2m/nbrTkvrpKBpPvYL0d5r/TGcys/dkuSFtYF4mLZQ1y/nA/zOzUdn1RpnZiWa2I7Ceu2/p7mPdfWy275HVB2fT2S4hHdlU7Q3AjCbmFOk1FXVEhqooeZ4oOQfYGjgHeD5wogG11ArrhM6QA38lHcL85rgU/1QNkEVEBlmU/IsoOYH0vfkLQL3Gr1JlTLnSyp83HPgjcCjwprgUXxZ4mlWtE4A57n5L9vj7wBvNbGL2uKunznTgm0DD6VV96amTrQZ1MNDdCpw3ka5A1eUY0p4600hHxUxy92ZO4bsMuB2438xmAFNJV+Y6iteuzvU76q+C9RNeO+Pl7aSrYIkMOltzmqGIDFlR53Dgv0nfcN/Omssv5t7e2271yJJCod4yke1uBfAH4DtxKb4ndBgREakSdRaAdwOfJP1g38oFjD65atT6916w0Zi3hc7RZIuBnwH/G5fixwNnyT0zuw44u2aaU26Y2WbA1e5+UOgs0p5U1BHJo7TvzidI++5sHjZMc+w+dusnV5ptFzrHEPIw6dz2q+NS/HLoMCIi0oOoczvgJNLpsZsETjNk3LTeug+evenGbwmdo0meBP4XuCIuxUnoMK0im/q0mbvfGTpLX5jZnsBKd58WOou0JxV1RPIs6uwA3kM6eucwcty8cdexW79QSb/paGcvA1eR/rI4PXQYERHpg3Rk7YdIR+/sGzhNcH8bMfyR4zffLM8jcReQTh+6CrgjLsWVsHFERNakoo5Iq4g6twQ+Rjp6Z1zYMGtv57FbLyWde91uyqTLdf4UuD5Enxwz2xq4E3iLu883s9HAQ8CBpNP8ZgKPZfeXkP53Npa0kTekDQ6fI1314R/ufmzN+TcCbssevo70NXctX3oE8Juq3bcHznX379TJORmY7+4/N7O9ge+SrhA3HPiNu0dmdhywh7t/2swi0n4CL5LOff+Cu0/pYfvirlUzzOxM0oLpqizzxe7+8+y5TYB/A5929x9WZXwKeNDdP5g9/hBwuLsfZ2aHA3u6+3mv+UcQkdaUjqz9SHabEDZMGI8PG/bkB7faPG8jcV8FbgCuBv4Yl+LlgfOIiDSkoo5IK4o6J5D23/lvYMh/O7YKVu223TbttPqVAw8C/wf8PC7F9ZYWHVRmdjawg7ufaGY/BJ5y9/PNbCxwg7vvlO13ErCPu5eqjr0DONPdH+jFdSKqCic1zxVJi0N7ufvTNc91kBaadnf3VWb2GPARd5+eHbejuz9ap6iz2N0vMrPxwF3ApsC5vdh+MvAB4MPZEqidwPvd/coszymkzRPL7n5gVc6nSItf73b3R2qKOpa9hn3dfWlPf1ci0mKizjeQFneOAHYKnGbQzCsW5x20zZabhs7RC2XgL6SFnGvjUtwWq4+KSP6104cokfYRJdOAacC5RJ07srrAs0fAVA0tKhQWAmNC5xhgy0hHq0wBbhgKhZwalwAPZqNh9gM+02C/UcArA5ThIGB2bUEn8w7gIXdflT3eFJgLkK2K8Wh3J3b3mWa2Cti4N9tJV7V5u7svzPZLgCurnj8KOAO42sy2dPfnqp67KDt+Us21PCuAHQ5c011eEWlBUfI48HXg60Sdb2J1geeNQXMNsFGVygahM3SjAvwd+DXwm7gUt/RKoyLSmlTUEWl1UfIYcD5wPlHnNqwu8OzLEFmlIykUltCaRZ25pMO3rwdujUvxssB5GnL3lWZ2FulUsHe5e/U0sHHZ0qIbAOsCezU6j5ntAZzs7g2XRe3GkcCvGjy3L+nopi6XkC55ekeW+Up3f7WbXHuR/vL+Yk/bzWwDYAN3n93gXFsDr3P3v5vZNaQfyr5dtcs1wClmtkOdwx8A9kdFHZH2FiWPAhEQEXXuTNoX72DSovqIgMmaboT7SNxXYjYsdJbMc8CfgZtJ35u1GIGI5JqKOiLtJErmAN8BvkPUuSFwAGnflLcDuxJomfSkWGiVqShOOkLq+uz2YFyK8zTH9TDSQtROwC1V22e7+wQAMzsCuJx06d7XyKZgrXVBx8zWAd4HfL7BLpuT9vbpus5Xzewq4F3AR0lHzhxY57jTzOxoYBFwRDZaprvtkP5/0N2/25GsLsr8GvgJaxZ1ysCF2Wu5qebYecAW3ZxbRNpNlMRADHyLqHMkaWHn4OwW7L25mQwWOmwU6PLLSPvG/Rm4OS7FjwTKISIyIFTUEWlXUbKAdCrQlPRx5xhgIquLPDsxSL9IvlIsDtkRLD1YDPwNuCe73ZvXJU7NbALpB4i9gbvN7NfuXm+K2BTSps7Ndhjp9KoXGjy/jJpvr7ORNJeZ2Y+AF7OGzLUuqde/p5vtZD10lpjZ9u7+RJ1djgI2M7Ou6VVbmNnr3f2fVfv8grSoU/vhYUT2WkREXitKlpEW1dPCetS5CenU1K4iz9bBsvVDERavGryiThmYAdxKWsi5Ky7FDUdyiojknYo6IpKKkvnAddkNos6NSYs8+5B+UziBAfqFbH6hMOgrPvXRk6wu4NwDxHEpLoeN1H9ZA9/LgMnuPsfMLiTtCzOpzu77AXWnJfXTUTSeegXpKJ3/TGcys/cAf/S02//rSX+JX9DEPOcD/8/MjsiKPKNIR+hMBdZz9y2rsnwle+5rXduy6WyXAOeQNt7s8gbSDxsiIj2LkhdJRwT+On3cuQVpf7y3VN1eFypebw1zX7rKBuR7ogowi3Rqa9dt2lCe7iwi0mwq6ohIfVHyEvC77JZt69yKtLhTfduefo7oeblYXNmf4wfAEuBx0mW8Z5EOi793CDY3bpYTgDnu3jXl6vvAcWY2EXia1T11DFhBN9Or+tJTx9Kl7A8GTupmt5tIR790OQa4xMyWki45Psndy9a8Dw2XAesD95vZSmAlcDFp8em6mn1/R/qB62s1238CfKlm29tpPMVMRKR7UfJvqkfZAkSdW7K6wNNV8NksRLxGRri/2oQqS4X0vflBVhdwHo5L8ZL+n1pEJL+0pLmI9E/UuQGwCzAeGAtsW3XbEij2dIpvjdnwzl90jjpgAFPW46TNEmexunjT9eezOeuF0xbM7Drg7JppTrlhZpsBV7v7QaGziEiLizo3AsaRfvFS/ec40vfmQe3Tc8hWW/zt38M6GjbZr7KUdFRs1+2J6vtxKV48cClFRPJJRR0RGThRZwfpL4/bsrrgsxXpNK7RpCtejfnCxhvNvH6D9Q6m/6txlYGXSFcy6rrNa/B4jr7dyxcz2xHYzN3vDJ2lL8xsT2Clu08LnUVE2ljUORzYjrTQsy3pe/KY7Da66n7XbZ1+XnHlkVtsdvsjw4dvD8yvur0MPM+aRZt5/byWiEjbUVFHRIaMna/ceV3SKS/rZX8OJy3UlEmn2JRrbqtq7icaYSMiItJEUed6pMWeYaRfvlidP6vvl0kXEkhvUbI8QGoRkbahoo6IiIiIiIiISA71d6qDiIiIiIiIiIgEoKKOiIiIiIiIiEgOqagjIiIiIiIiIpJDKuqIiIiIiIiIiOSQijoiIiIiIiIiIjmkoo6IiIiIiIiISA6pqCMiIiIiIiIikkMq6oiIiIiIiIiI5JCKOiIiIiIiIiIiOaSijoiIiIiIiIhIDqmoIyIiIiIiIiKSQyrqiIiIiIiIiIjkkIo6IiIiIiIiIiI5pKKOiIiIiIiIiEgOqagjIiIiIiIiIpJDKuqIiIiIiIiIiOSQijoiIiIiIiIiIjmkoo6IiIiIiIiISA6pqCMiIiIiIiIikkMq6oiIiIiIiIiI5JCKOiIiIiIiIiIiOaSijoiIiIiIiIhIDqmoIyIiIiIiIiKSQyrqiIiIiIiIiIjkkIo6IiIiIiIiIiI5pKKOiIiIiIiIiEgOqagjIiIiIiIiIpJDKuqIiIiIiIiIiOSQijoiIiIiIiIiIjmkoo6IiIiIiIiISA6pqCMiIiIiIiIikkMq6oiIiIiIiIiI5JCKOiIiIiIiIiIiOaSijoiIiIiIiIhIDqmoIyIiIiIiIiKSQyrqiIiIiIiIiIjkkIo6IiIiIiIiIiI5pKKOiIiIiIiIiEgOqagjIiIiIiIiIpJDKuqIiIiIiIiIiOSQijoiIiIiIiIiIjmkoo6IiIiIiIiISA6pqCMiIiIiIiIikkMq6oiIiIiIiIiI5JCKOiIiIiIiIiIiOaSijoiIiIiIiIhIDv1/i4kenpewnccAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 1152x576 with 2 Axes>"
       ]
@@ -1569,6 +1616,14 @@
     "})"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "5b15b32f-38be-4f1b-b99a-53f53be84313",
+   "metadata": {},
+   "source": [
+    "The following plots compare the performnce, measure by the precision and recall metrics for each class for a decision tree compared to a random forest."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 32,
@@ -1587,7 +1642,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 1440x2160 with 4 Axes>"
       ]
@@ -2131,7 +2186,7 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "2022-11-17 15:15:25.105730: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE4.1 SSE4.2 AVX AVX2 FMA\n",
+      "2022-11-22 09:49:43.746692: I tensorflow/core/platform/cpu_feature_guard.cc:151] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations:  SSE4.1 SSE4.2 AVX AVX2 FMA\n",
       "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n"
      ]
     },
@@ -2140,8 +2195,8 @@
      "output_type": "stream",
      "text": [
       "building and training model cnn_1d\n",
-      "CPU times: user 3min 57s, sys: 23.5 s, total: 4min 20s\n",
-      "Wall time: 1min 19s\n"
+      "CPU times: user 3min 56s, sys: 24.2 s, total: 4min 20s\n",
+      "Wall time: 48.1 s\n"
      ]
     }
    ],
@@ -2256,8 +2311,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 286 ms, sys: 3.82 ms, total: 290 ms\n",
-      "Wall time: 288 ms\n"
+      "CPU times: user 205 ms, sys: 4.86 ms, total: 210 ms\n",
+      "Wall time: 208 ms\n"
      ]
     }
    ],
@@ -2348,7 +2403,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x2b8df2790250>"
+       "<matplotlib.legend.Legend at 0x2abe16cf0ac0>"
       ]
      },
      "execution_count": 56,
@@ -2357,7 +2412,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 1152x432 with 2 Axes>"
       ]
@@ -2394,23 +2449,23 @@
     "ax1.legend(loc='upper right')"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3cde487d-867b-4295-9a3f-7249ea0dcaf2",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": 57,
    "id": "c9de013f-997f-4faf-a8fd-7558213d7d75",
    "metadata": {},
    "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n",
-      "No artists with labels found to put in legend.  Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n"
-     ]
-    },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA64AAAGDCAYAAAArq02zAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAABp/0lEQVR4nO3deXhU9dn/8fedPYQdwiIBAwiyLwqCChXEFdeqtFK1rbZqq1Zrta3WVm21Wh9ttT5V+7PW2loFF7RacUWlah8VAQFRVBACguwQIJCQhNy/P84EAmSZhMycSebzuq5zzZz9nnNmJnPnu5m7IyIiIiIiIpKoUsIOQERERERERKQ2SlxFREREREQkoSlxFRERERERkYSmxFVEREREREQSmhJXERERERERSWhKXEVERERERCShKXEVERFpZGZWaGaPNNKx3jazCjPb1RjHq+e5f2xm5fE+r4iIyL6UuIqIiMSQmT1kZlsauO8RwBhgkLunNm5kIiIiTYcSVxERSUpmlhl2DFE4HNjl7p/Ud8cm8vpERESiosRVRESShpmVm9mLZlYMlJhZppl9z8y2mpmbWbGZ/bjK9g+ZWVlkXZmZ3RdZPtPMllbZbkxkm8x9zncK8D2gdWS9R5bfaGY7I8t2mdm/q4n1p8D9QGpkuyWR5beaWUlkWWHkHDW+vmqO62Y21cxKI8/fMrPxZrYtMv+lmeXUcv1ejsReYWaLzaxNPW6BiIhIgyhxFRGRZDMeOAZoDwwC/gLcBaQBNwN/MLN+ZpZLkHSe5u4GjABeqc+J3H068Fdgq7tb5DgANwE/icz3BqZUs++dwNUEJa7m7oeY2QnADZH9WwD/BZ7dJ9Hc/frcfWcNoY0DegJnAGOBacCpQA+gE3B3LS9rXGSfQ4DOwAu1XQMREZHGoMRVRESSzRR3n+Xum4FbgAJ3/42773L3O4BNwE+qbD/BzNq5+3x3f76RYnDgSDPr5u4F7v54lPv9DFjp7ne4ezFwOpAKXFxlm6qvryY3u/uqyOvZAbzn7v9x9y+Bj4CRtew7LXL8pQQJ/+goYxcREWkwJa4iIpJsPqvyvAfQs7Iab6Qqbwegu7uvJyjdvAjYZGbrzOzkRorhe8AE4MtIdd+L69ohoguwunLG3XcRJJ59qmzz2b47VePzKs/Lga+qzBcD2bXsu7jK83kEJdUiIiIxpcRVRESSTUWV5yuBzyqr8VaZTgZw99vcvQNBteIVwNTIfkVA1fajh0Z5PiLH/bu7dwVygJnAA1HGvgboWjljZkZQZbhqMrnf+RpZ1SR5KEHiKyIiElNKXEVEJJndCPQxs1+YWbqZtYmMXTrCzAZGOkLKBbYSJKse2e9toKuZjTaz7sCttZxjOZBT2Q7VzHLM7D4z6x6p7ltbld593QXkmdm1ZpYNPE+QqP6lXq/6wJwduT69gGuBWXE8t4iIJCklriIikrTcfRZB+9CfATsJkshfEFR/TQOuANYRlCoOAy6I7HcH8DHwLvAF8Fotp7mHoN3sNjOrLA39BrA8UjX5G8CPooz3ZeAO4LcEVYTHAme7+/Zo9m8kMwk6hfoCWE/QzlZERCSmzN3r3kpERESSnpmVA9dHejwWERGJG5W4ioiIiIiISEJT4ioiIiIiIiIJTVWFRUREREREJKGpxFVEREREREQSmhJXERERERERSWhpYQcQjY4dO3p+fn7YYYiIiIiIiEgMzJkzx929xoLVJpG45ufnM3v27LDDEBERERERkRgws+La1quqsIiIiIiIiCQ0Ja4iIiIiIiKS0JS4ioiIiIiISEJrEm1cRUREREREwlRWVsbKlSspKSkJO5S9lZRARgakNI0yyaysLPLy8khPT6/XfkpcG8Eln33Gce3a8Y1OncIORUREREREYmDlypW0atWK/Px8zCzscALl5TBvHhQXQ2Ym5OQEU5s2kJUVdnT7cXc2btzIypUr6dmzZ732bRppeYL7x5o1zN22LewwREREREQkRkpKSujQoUPiJK0QlLL27QvdukF2NmzbBl9+GTwC7NwJixbtmQ+ZmdGhQ4cGlVqrxLURVEBivYFFRERERKTRJdxv/pQUaN06mADcoawsqD68ciWsWRMsX7kS+vcPL84qGnoNVeLaCHa5kxp2ECIiIiIi0qyZGRdccMHu+fLycnJzczn11FMrN4C0NM74+tc5cuLEoMpwz57Qty8333wz3bp1Y9iwYbunwsLCcF5IA6jE9QC5OxVAaqL990VERERERJqVnJwcFi5cSHFxMdnZ2bz22mt069Ztzwbl5RS+9x5zP/mElm3asCwtjZ4dOuxeffXVV3PttdeGEPmBU4nrASp3p0NaGi1TVeYqIiIiIiKxdfLJJzN9+nQApkyZwuTJk/esdGfaO+9w2tFHc+4xxzD1wQfrffw777yTkSNHMmTIEG666SYACgoK6NevH9///vcZNGgQ5513HjNmzODoo4+mT58+zJo1C4Cbb76Zu+66a/exBg0aREFBQcNfbBVKXA9QekoKG8aM4ac9eoQdioiIiIiIxMu4cftP998frNuxo/r1jzwSrN+wYf91UTr33HOZ+vjjlKxezYK5cxl18MGwfTssXAhpaUyZMYPJZ57J5BNOYMq0aXvte/fdd++uJjx+/Pj9jv3qq6+yePFiZs2axbx585gzZw5vvfUWAEuWLOGqq65iwYIFfPrppzz++OO888473HXXXdx2221Rx99QqiosIiIiIiKSqIqK4NNPd88OGTKEgi++YMoDDzBx5MhgvTu0aMHar75iyZIljJk0CTMj7be/ZeHChQwaNAiou6rwq6++yquvvsrw4cMjpy5i8eLF9OjRg549ezJ48GAABg4cyIQJEzAzBg8e3GilqrWJOnE1s1x3Xx/LYJqitaWl/PDzz/lxXh5fa9s27HBERERERCQeZs6seV2LFrWv79ix9vVVFRXteV5RAWvXcvoZZ3Dtn/7EzBdfZGNxMbRsCb168cS997J582Z6HnooAFu3bmXq1KnceuutUZ3K3bn++uu59NJL91peUFBAZmbm7vmUlJTd8ykpKZSXlwOQlpZGRUXF7u0aMuxNTeqsKmxml5jZTmB1ZH6SmS1stAiauE1lZTy7YQOrS0vDDkVERERERJqbLl1g2DDo0yfoNTgnh4suuYQbf/5zBqelwZIlQVXhwkKmTJnCyy+/TEFBAQUFBcyZM4epU6dGfaoTTzyRhx9+mKJIsrxq1SrWrVsX9f75+fnMnTsXgLlz57Js2bJ6vdTaRNPG9Q/AWKAUwN2fAg5ptAiauJLIfxQy1auwiIiIiIjEQlpaMLSNGbRsSV5eHlf95CfQtWtQClteTsGnn7JixQpGjx69e7eePXvSunVr3n//fWDvNq7Dhg3br4rvCSecwLe+9S2OPPJIBg8ezDnnnMO2bduiDvPss89m06ZNDBs2jAceeIC+ffs2yssHMHevfQOzIndvaWY73L1FZFmxu2c3WhR1GDFihM+ePTtep6uXWVu3MmruXF4YPJhTqnQ1LSIiIiIizceiRYvo379/uEGUlgYdP1VUQPv2QdvWpUshNxdatw43tnqo7lpG8s2cmvaJpo1roZldEjlYDjAViL68uJmriCT+6p5ZREREREQa3YYNsHlzkLCWlQXLMjKCxNUMevcON744iSZxPRZ4BcgEtgEFwIQYxtSkZKemcnBmJpkpSl1FRERERKQB3KG4GLZuhW3bgueDBkFKSvC8tDQoUW3RYs+UZOpMXN39c6BnHGJpkoa2bEnBkUeGHYaIiIiIiDQl7kGJ6aZNsGIFRHrmJSsrSFIrKoLENS8v2C7J1Zm4mtkSYIK7L4/M5wOvunvjtbQVERERERFpztyDoW0KC2HLFujePehwKSMjSFQrp4yMvfdT0gpE1zTzoMqkFcDdC4C8aA5uZgeb2Uoz2xmZLjazXma20cxKI4/5DQs9MexyZ+KCBfx19eqwQxERERERkURTXg7Ll8OCBfDZZ7BuXZCcVjY1jIzBSseO+yetsls0iatVTS7NrFeU+wG8Dsxw90ygPfAqMAWY5e4ZwCyCzp6arFQzPti2jQ+2bg07FBERERERSSTbtwftVgsL9ySow4ZB377QqlXY0TUp0SSg/wA+M7O3zOwtYBHwSF07mVk34GDgQgB33x4puR0OXBfZ7DrgsAbEnVDys7JYVlISdhgiIiIiIpJINmwIhqupqAjGYq1a0toAZsYFF1ywe768vJzc3FxOPfXUvbY744wzOHKffnhuvvlmunXrttc4roWFhQ2OpdI3v/nN3cfLz89n2LBhB3zM6kTTOdOlZjYdOB8w4Bx3/3cUxx4D7AQWm9lBwApgLJDu7vMjx55vZtH0bJzQemVlMaceA/OKiIiIiEgz5w5dukBqajCczcaNsH590GZ1+PAGJbA5OTksXLiQ4uJisrOzee211+jWrdte2xQWFjJ37lxatmzJsmXL6NlzTz+7V199Nddee+0Bv7Sqnnjiid3Pr7nmGtq0adOox68U7dV6Cbgd+D2w3sxGR7FPBpAD3ObuLYBiYFq0gZnZo2a23cy2r1+/PtrdQnFIdjYFJSWUVVSEHYqIiIiIiMTTrl2wc+ee+eXL4ZNP4MMP4aOPYM0ayM6GoUMhPx86dDigDpdOPvlkpk+fDsCUKVOYPHnyXuunTZvGaaedxrnnnsvUqfVrlVlRUcFll13GwIEDOfXUU5k4cSJPP/00AL/5zW8YOXIkgwYN4pJLLsHd99rX3XnyySf3i6ex1Jm4mtlTBCWn7wJvAjMjj3WZB+xy94cj8w8B/YAyMxsaOfZQoLy6nd39AnfPcfec3NzcKE4XnuEtW3JkmzZsLq/2pYiIiIiISHNSUsK4995j3DvvMO6//2Xc7NmM+/BD7l+1CsrK2JGSwrjSUsZVVDAOGLd1K+MWLOCRsjLIz2dDWRnjPvxwrylalQlpSUkJCxYsYNSoUXutr0xmJ0+ezJQpU/Zad/fdd++u1jt+/Pj9jv3MM89QUFDARx99xEMPPcS77767e90VV1zBBx98sLvE94UXXthr37fffpvOnTvTp0+fqF9LfURT4noG0Nfds9w9u/Kxrp3c/SNgu5mdFFk0CSggSGh/F1n2OyD6u5SgzunUibeHD6eTegETEREREWneVq6EhQuhtDSo7puZuXdvwIccAn36BMvT04Oqwo04pM2QIUMoKChgypQpTJw4ca91a9euZcmSJYwZM4a+ffuSlpbGwoULd6+/+uqrmTdvHvPmzePNN/cvi3znnXeYNGkSKSkpdOnSZa/k9s0332TUqFEMHjyYN954g48//nivfasr/W1M0bQv3Q582cDjXwJMM7MUoBA4MnLOWWZWChQBIxp47ITj7pjGWRIRERERaT4+/hj++le46KJgvlUrSElhZi3D17RITWXm8OE1HrJjRkat6+ty+umnc+211zJz5kw2bty4e/kTTzzB5s2bd7dr3bp1K1OnTuXWW2+N6rj7Vv+tVFJSwmWXXcbs2bPp3r07N998MyVVOqctLy/nmWeeYc6cOQ1+TXWJpsR1HbDOzF42s+cqp2gO7u5PRKr7Zrt7V3cvcPcl7t7e3TMij0sP7CUkhnMWLmTyJ5+EHYaIiIiIiByobdvgL3+B0aNh0CD405/2tGNt0wYOOijUMVcvuugibrzxRgYPHrzX8ilTpvDyyy9TUFBAQUEBc+bMqVc71zFjxjBt2jQqKipYu3YtM2fOBNidpHbs2JGioqLd7V4rzZgxg379+pGXl3dgL6wW0ZS4ropMGZFJqpGRksLbW7aEHYaIiIiIiNRXSQmsWwc9egTPDzoIiopgwAD4/e/hgguCoW0SRF5eHlddddVeywoKClixYgWjR+/pR7dnz560bt2a999/HwjauP7zn//cvf5f//oX+fn5u+fPPvtsXn/9dQYNGkTfvn0ZNWoUbdq0oW3btlx88cUMHjyY/Px8Ro4cude5p06dGtNqwgBWU3Hwfhua5bp7KN37jhgxwmfPnh3GqaN214oV/HTpUtYddRS5ausqIiIiIpK4duyAd9+F//wnmN57D446Cirbff7+93D00TBq1O72qYsWLaJ///4hBh0fRUVFtGzZko0bN3LEEUfw3//+ly5dujTqOaq7lma2w91zatqnzhJXM7sY+BOQCqSZ2STgJncfdIDxNiuHtWoFwIdFRZzQvn3I0YiIiIiISLUqKoIkdf78oHOlww6DH/0IjjtuzzbXXBNefCE79dRTKSwspLS0lF/96leNnrQ2VDRVhe8GxhIMg4O7P2Vmj8YyqKZoaMuWACxQ4ioiIiIiknjcg6Q1NRWmToWlS2HMGGjdOuzIEkplu9ZEE03nTLj7rH0XxSCWJq1DejqXdu3KoS1ahB2KiIiIiIjsa8YMOPdc+PBD6NcPJk5U0tqERFPiWmhmlwCYWQ4wlaCnYdnHnw89NOwQRERERESkOocdBjNnBlWE586FSI3J+tDwlwcu2j6W9hVNieuxwPVAJrANGAhMaNDZmjl3Z0NpaYNvhoiIiIiINIKNG4MOlz76KJgvKoITToDt22HxYvj73+t9yKysLDZu3Kjf+gfA3dm4cSNZWVn13rfWElczSwdedveeDQ0umTzw1Vdcvngxa446is7qWVhEREREJHZ27YKvvoLu3YP5iy+GBQuCxHTz5mDZ+efDo49CTk4w1M1RR0GfPsHyesrLy2PlypWsXx/KQCvNRlZWVoPGe601cXX3MjNrbWY57r69wdEliYMj/zlYWlysxFVEREREJFbmzoUf/ABatAiq/wKsWAGtWsE3vxkkp336wKDIQChm8OyzB3TK9PR0evZUeV5Yomnjug5YZ2bvAruTV3c/I2ZRNVE9MjMBWLlzZ8iRiIiIiIg0Q9u2wY03wr33Qm4u3HXXnnWvvBJeXBJz0SSuayJTCtAqtuE0bXlKXEVEREREYmPhQjj5ZFi1Kihtve02aNs27KgkTupMXN39WAAzy3V3VeiuRdu0NDLMWFtaGnYoIiIiIiLNw86dkJkJvXvDiBHw1FMwenTYUUmc1dmrsJldbGY7gdWR+UlmtjDmkTVBZsZve/bkhPbtww5FRERERKRpmzsXLrggGHO1tBSys4N2qkpak1I0w+HcDYwFSgHc/SngkFgG1ZRd26MHx7ZrF3YYIiIiIiJN0yuvwLhxcPjh8K9/wemnQ3Fx2FFJyKJp44q7z9pnoF0NXlSD9aWlbN+1i/zs7LBDERERERFpWkpL4ZRTgqFu7roLvv99aNMm7KgkAUSTuBaa2SUAZpYDTCXoaViq8YPPP+fz4mI+Gjky7FBERERERJqWjAyYMgXGj4eOHcOORhJINFWFjwWuBzKBbcBAYEIsg2rK2qSlsbmsLOwwRERERESajtWr4YEH4PjjYcMGJa2ynxpLXM3sPXcfDVzq7hppN0rt0tLYXF4edhgiIiIiIolt1y645RZ47TV4911whz59glJXkX3UVlV4mJllAz8ErolTPE1e+/R0dlRUsLOigsyUaAq0RURERESS0OLF8Otfw7BhweOmTfDd78KQIWFHJgmotsR1AbADwMz264zJ3W2/PYRO6elA0ElTXlZWyNGIiIiIiCSofv2gqAhycmDzZsjNhXvuCdaNHw9PPqkqw7JbbUWCEyLJ6Rp3t32neAXY1BzZujV/6duXtmlRddgsIiIiIpK8cnJgzRr44gtYtQr+/Odg+ZtvBpNIRG3Z1VqgBaBBk+phUMuWDGrZMuwwREREREQS16pVwXA3M2bAwoVB6euiRXDppXDwwdC7d9DeVSSitsQ1xcweBLqb2R37rnT3n8curKZtaXExS4uLOa59+7BDERERERFJLPPnB2O1btgAX/sanH8+HHfcnvUnnRRebJKwaktcrwYuB1KBs/ZZ54AS1xrcVFDAK5s2sfaoozBTrWoRERERkd2KiiA7Gz74AAYPDjsaaSJqbOPq7g+4+yDg7+7eZ5+pbxxjbHKOb9eO9WVlzNm2LexQREREREQSy9FHw6OPwqGHhh2JNCG1jeP6E3f/A7BOVYXr55QOHUgFnt2wgRGtW4cdjoiIiIhI4li3LqgafPjhwRiuGrdVolBbr8KnRx7Pqmb6eozjatI6pKczvl07pq5bh/t+IwmJiIiIiCSvNWsgMxM+/BC2bg07GmkiaqsqPC7yuG81YVUVjsK3O3dmeUkJH2/fHnYoIiIiIiKJ4bXXYMyYoI3rO+9onFaJWm1VhZ+rbUd3P6Pxw2k+zsnN5fh27eiSmRl2KCIiIiIiieFvf4P8fHjxRcjLCzsaaUJq61W4VeSxF3AQsCAyPwRYGsugmoPs1FSyU1MBqHAnRb0Li4iIiEiyKS+Hd9+FXbtg3Dh4+GHYuRPatAk7Mmliakxc3f1YADPbABzs7qsj813Zk8RKLUorKjj1o484uk0bbsrPDzscEREREZHY27IFXn4Z/v1veOkl2LQJjjkGZs6ErKxgEqmn2jpnqtQKKKoyXwRE3VWumaWb2Q4zWxuZ72VmG82sNPKYX6+Im5CMlBSyU1K4d+VKisrLww5HRERERCT2vvENOPfcIHk95RR48kl4/vmwo5ImLprE9T8EQ+LMNLM3gHXAm/U4x9ORfSpNAWa5ewYwC5haj2M1Odf36MGm8nL+snp12KGIiIiIiMTejTfC22/D2rXwj3/ApEmgISLlANWZuLr7CcD3gI3AZuBCdz8pmoOb2QhgLHBvlcXDgesiz68DDqtPwE3N6DZtGN+2LXd9+SUlu3aFHY6IiIiISOy8/z689VbQc3CkvxeRxhBNiSvu/ri7nx2Z6lNC+i/gR0BFlWXp7j4/ctz51NDO1sweNbPtZrZ9/fr19Thl4rnh4IP5qrSUv69dG3YoIiIiIiKx88orcMMNUFgYdiTSzESVuDaEmf0aKHT3xxqyv7tf4O457p6Tm5vbyNHF17Ft2/LwoYcyuVOnsEMREREREWl85eXBuKyffgruMGtW2BFJM1PbcDgH6nign5mVAwakmNlSoMzMhrr7fDMbCjT7XovMjAu7dg07DBERERGRxrNpE2RnB9Mf/wjXXgtpaXDssdCvX9jRSTMTsxJXdz/K3dPcPQ24Bljn7r2AecDvIpv9DvgwVjEkmhmbNnHyggWUV1TUvbGIiIiISKIpLobHHoMJEyA3F6ZPD5affXbQe/CGDfD669CjR7hxSrPToBJXM1vk7v0beM5vAbPMrJRgaJ0RDTxOk7O9ooKXN23i+Y0bOauJV38WERERkSSyYwdccw1MmRKM09qzJ1x/PQwZEqzPzw8mkRgxd699A7N0dy/bZ9l5DW272hAjRozw2bNnx+t0MbPLnV7vvUffFi14bejQsMMREREREanezp1Bm9XVq+H884N2q4cfDgMHwkUXwTHHQErMKm9KEjKzHe6eU9P6aEpci81sMfBX4PceiFvS2pykmvHtLl24bflyNpaV0SE9PeyQREREREQCX34JL74IL70EM2bA9u3QpQucdx6YwezZSlYlNNG883KBl4GrCTpWWmBmP4xtWM3XmR07UgE8v2FD2KGIiIiISLJyh8WL4W9/g5KSYNk998APfgDz58O3vw3PPx9sYxasV9IqIaqzqvBeG5vlA68DvdzdYhXUvppLVWEAd2fyJ5/w7S5dmNihQ9jhiIiIiEiyWLUKnnoK3n47qAa8bl2w/J134OijoaAg6HypX789yapInDRGVWHM7ErgEuBQYA1wV+OEl3zMjKkDB4YdhoiIiIg0V+6wYkUwlur778MZZ8DYsbBsGVx9ddCx0oknwpgxwfJDDw32U+dKksDqTFzNrAxYD0wDxrv7+phHlQQ2lJaytqyMgTk1/lNBRERERKRuFRVBNd7CwqCK76xZsHZtsC4zM0hUx46FI44I2rHm5YUarkhDRFPimu/uq2IeSZI5bv58Wqel8dbw4WGHIiIiIiJNyZo1QXXft94KplGj4MEHoXXrIGE96aQgST3iiGC4moyMYL+MDCWt0mTVmLia2XR3PwWYbtXUcXf3YTGMq9k7KzeXmwsK+GrnTg7KzAw7HBERERFJRO6waRNU9o1y4onw6qvB85wcOOooGDkymE9JCaoGizRDtZW4zok8zopHIMlmUm4uNxUU8OyGDVzerVvY4YiIiIhIIvjyS3j3XfjwQ5g7N5hSUoJSVjM45RQ4/nj42tdg+HDQ8IqSJGpMXN39xsjjJfELJ3n0z8nhkOxsXtq4UYmriIiISLJxh08/hTlzguT0ttsgKysYkuYPfwgS0kGDgo6VDjsMysqCqr5XXhl25CKhqK2q8JradnT3Lo0fTnI5qX17/rp6NTsrKsjUuFgiIiIizd/y5UF71CefhCVLgmVZWXDxxdC/P/zwh3DeeTBwYNCxkogAtYzjGhkCB+BCoAPwSGT+28Aqdz865tFFNKdxXKtaXlJChTs9s7PDDkVEREREYqGkBD75BNq1C3r3fecdGDcOjj0Wzj47GD+1Xz9Ii2qUSpFmq65xXGtMXKscoNDd29a1LJaaa+IqIiIiIs2AO+zYEXSWVF4O11wDn30WTMuXB+t/9CO4995g6JqNGyE3N+yoRRJKXYlrNP/ayTazY9z9P5EDjgVURNhIpq1fz5LiYn7eo0fYoYiIiIhINJ55BhYs2JOcfv45nHoqTJ0alJw+9xy0bw9HHgnf/S4cemhQygpBR0tKWkXqLZrE9TfA62ZWFJlvCfwydiEllzc2b+Yfa9dyTV4eaWrnKiIiIpJYdu6E//wHli2DSy8Nlt1yC8yfD/n5QVL6ta/BmDF79lm2LOgBWEQaTZ2Jq7v/1szuBU6KLHrZ3bfFNqzkMbZNG+7/6ivmb9/O4a1ahR2OiIiIiKxYATNmwPTpwZipRUVBCepFFwW9/f7739CxY9CpUnWUtIo0uqhagUcS1adiHEtSGtu2LQBvFxYqcRURERGJly1bguFoFi3aMz30EHTqBI8+Cr/8JXTrFvTwe9ppMH78njFT8/LCjV0kCan7spB1y8ykW0YGH2xTIbaIiIhIo3KHdevg44+DxPSUU4LqvVOnwuTJe7ZLT4e+fWH9+iBx/fa34fTTg3FUVXoqkhCUuCaAUa1bs7m8POwwRERERJomd1i9GjIygiq8n34ajIv6ySewadOe7dq2DRLXESPg9tuDcVP794devfYejqZ792ASkYQRzXA4f3P3C6vMpwOvuPuxsQ6uUnMfDqfCnRT9N09EREQkOlu3wl//GpSkfvJJMG3ZAr/7Hfz850ES+41vwIABMHBg8Ni/Pxx0kEpQRRJUY4zjWgC0AI4HegKPAZ+4+8hGjLNWzT1xFREREZEauAdDzsyYAW3awAUXBD39tmsHLVsGSWnlNH58kKiKSJNzwOO4unu+md0DfAhUAFe4+58bL0RZWVLC9z77jGu7d+f49u3DDkdEREQkfM8+C88/HySsK1cGy04/PUhcMzODUtU2bcKNUUTips7E1cyOAy4CPgUOAn5kZk+5+8ZYB5csslNTeXXzZk5u316Jq4iIiCSP0tKguu+cOTB3Lnz1FfzrX8G6Rx8Nxk+dMAGOOy6YevXas6+SVpGkEk3nTNOBX7r7nWZmwHPAKqCGgaukvtqlpZEKbFQHTSIiItKcrV4NXboE7Uxvuw1uvhnKyoJ1rVvD8OFBNeDMzGBomjZtIDU11JBFJDFEk7j2cvdVAB40iD09UgorjSTFjI7p6awpLQ07FBEREZHGU14O774LL70EL74I8+fDwoVBO9TDDoOf/CR4POywoDQ1JWXPvqqFJiJVRJO43mjV9742o5FjSWp5mZms2rkz7DBEREREGqakBJYtC0pJDzoI3n8fTjoJCguDUtMxY4Jefzt0CLY/6aRgEhGJQjSJ6+gqzzOB3sDa2ISTvEa2bs3OioqwwxARERGp2fbtQYLaoQMUFQUlpkuWBNPKlUEPwLfcAr/8ZTD8zFlnwcSJQftUtUkVkQNQ53A4++1g1h34wN27xCak/Wk4HBEREZE427ULpkyBN97Yk5yuXg2XXgp//nOwvkePYDrkkGDq0weOOCJ4LiJSDwc8HE41NgDtGh6SiIiIiCSkigr44osgAU1JCTpP2roV+vULqvUecggcdVSwbWoqrFoVargikjyiGQ5nTdVZoD2g4s9Gtqy4mJMXLOC2Xr04Kzc37HBEREQkmVRUwB/+AP/7v0EV4K++Cnr2nTkzaK9atdMkEZEQRFPieluV56XAbHdX4trIumVmsqykhPe2blXiKiIiIvFTWAjnnw/TpwdtUb/3vWC4GoC8vFBDExGpVGfi6u73NuTAZnYE8ArQAnBgurufbWa9gA+AVsA24HB3L2jIOZqTjJQUhrdsyftbt4YdioiIiDRXpaWwfHnQydKwYUFnSscfD/Pmwf33ww9+sCdpFRFJIDXW+zAzr22K4tg7gcvdPRPoCZxmZqcBU4BZ7p4BzAKmNsYLaQ5GtGrFh0VFVNSzwywRERERIEhEN2wIxkqt9NvfwvjxcPDBkJ0NffvChRcG68xgyBB480344Q+VtIpIwqqtxHWcu/+noQd29/nA/Mjz1Wa2ERgADAdGRja7jqD0VYDDWrXivq++YklxMX1btAg7HBEREWkqrrwyaJ9aqUOHIIGFoL1qaSl87WvQq1cw9e27Z9u//jW+sYqINEBtieuLQI6ZbXL39gdyEjMbA+QC/wR+F0lqcff5ZlZtDGb2KHAWQI8ePQ7k9E3Gka1bc1GXuI0yJCIiIs1FQUHweN55MHIkvPUWXHJJkKz+7GdBaauISBNW4ziuZrYDeA/4GjB93/XufkZUJzDrDCwF/uTuPzczd3ersr7C3Wvtqk7juIqIiIjUoawM0tOhpCSoCjx1n9ZYjz8OkyeHE5uISB3qGse1toTxLKCEYAicVtVM0Zw8G/gYmOHuP48sLjOzoZH1Q4HyaI6VLNydTWVlYYchIiIiiWzLFlixYs/8lVfCCSdAjx7QokWQtH7zm0GnS/dG+tlMTQ0lVBGRxlBjievuDcx+5e631PvAZgYsAba6+/Aqy2cBG939ZDN7CWjv7qNqO1YylbievGABheXlvHvYYWGHIiIiIvG2axesWwerV0NxMRx9dLD8t7+FWbOC9qpLl8KmTTB2bFAlGODYY4OS1t6990xDhwYdL4mINAF1lbhGMxxOvZPWiB8AvYASMyuOLLsd+BYwy8xKgSJgRAOP3yz1yc7m4dWrqXAnRT37iYiINA9lZbBmTZCQVk5FRXDttcH6q66CJ58MktaKimBZfj4sWxY8X7gweN61Kxx+eJCYDh685/hvvBHXlyMiEm91Jq4N5e4PAA/UsPqAOntqzobk5LC9ooJlJSX0zs4OOxwRERFpiJ074bXX4JRTgiFmrrgCHnxw720yM+Gaa4L1vXsH23btGkwHHQR5eXu2nTIlvvGLiCSYGhNXMxta2fuvxE+fyDA4y4qLlbiKiIg0NYsXw1/+An/7WzAczQcfwIgRQadIhx0WJKSViWmnTnvGTb3yynDjFhFJcLWVuM4wsyxgIfAE8IC774xPWMmrW0YGAKtKS0OOREREROrlzjuDoWdSUuDMM+HSS4NkFWDcuGASEZEGqbFXYXfPBfKAF4DvAJvMbJWZPWpmo+MVYLLplpnJb/LzGZpTY7tkERERSUQdOwaPb70F06YFvfym1Drin4iIRKnOXoX32thsLHA5MA5o6e4tYxTXXpKpV2ERERFpotyhsBDatQs7EhGRJudAxnHdj7u/7e7nunsXoPMBRyfV+mrnTlaUlIQdhoiIiNSHGfzf/8H27WFHIiLS7DS4V2F317dyjJy5cCHt09J4eejQsEMRERGR2rz6KsyfDwsWwEcfBY833AC3NHQ0QRERqU7MhsORhmublkZheXnYYYiIiAgE460uXLgnOW3VCm67LVj3wx/C0qXQrVswrupppwUdNImISKOqM3E1swHu/sk+y05y95djF1Zya5OWxpc71YGziIhI6K6+Gv70J6j8h3LLlkGnS5Wefz4Y3qa9hqgXEYmlaNq4zjOzuytnzOx54LnYhSS56elsKCsLOwwREZHkU1oKTzwBlX+He/WCH/0InnsuKFndsiXoMbjSwIFKWkVE4iCaqsIjgVfM7BygFfAV0COmUSW5zhkZbCwrY2dFBZnqRl9ERCR+rr4a7r8/SE7POitIWkVEJHR1Jq7uPt/M/gOcHVl0r7uvjW1Yye2MDh3onZVFfYYqEhERkUbQv3/w2LVruHGIiMhe6izOM7ONwAigN3AOcJeZfRDrwJLZsFatOL9LF7JSU8MORUREJLmcd14wrE3V6sAiIhK6aOqhPujuvd19ubv/C+gAbIltWPLx9u28sXlz2GGIiIgkl+efB3cYNy7sSEREpIpoqgpfv8/8TuC4mEUkAFy/dCnLSkr4aOTIsEMRERFJHp06weTJcMop8NBDsG0bHHEEDB8OLVqEHZ2ISNKKZjicahtaurs1fjhSKSslhV1q4yoiIhJfJ58cTBBUF345MvpfaioMGQKnnw433xxaeCIiySqaEte9ElQzux34WswiEgDK3Ek1/W9AREQkNC+9BKtXwwcfwKxZwbRmzZ71ZWWQnh5efCIiSSSa4XD24u7Xm9m2WAQje+zYtYsWGgpHREQkXF27BqWsp5++9/Irr4QlS2D69KAzJxERialoqgrfUWU2FTg6duFIpe27dpGjXoVFREQSR0UFvPUWPPooTJ0KO3YEJbIHHRR2ZCIizV40Ja5nVXm+C1gBjIpNOFLpvr591cZVREQkkdx8M9xyC7RsCd/4Blx4oZJWEZE4iaaNa594BCJ7G9qyZdghiIiIyJtvQufOMGBAMMbrgAFBtWH1MCwiElc1Jq5mNh+oscjP3YfFIiABd+fva9YwqnVr+ufkhB2OiIhIctmyJWi/OnMmXHcdnHgivPACHHpoMImISNzVVuL6ftyikL1s27WLCz/7jDt79VLiKiIi0tjcg96Bv/hiz/SLX0BWVvB4++17tj3+eHjssfBiFRERoPbE9Th372Vm09z97LhFJGwuLwegnbrYFxEROTAVFfC//wtDh8Ixx8Df/w6XXx50rFQpJQUuuAD69IETToB27aB3bzjkEBg0KFgvIiKhqi1x7WZmRwETzSwf2Otb292XxjKwZLa5rAyAtmn1Hq1IREREqtq8GX784+B5fj507Ag9esD3vgcDBwbJ6cEHQ0ZGsM24ccEkIiIJpbbM6N/Am0AGsLia9SoOjJHKEtcOSlxFREQOTIcOsGwZvPIKvPgivPYaFBcHCevJJwfVhkVEJOHVWPfF3c9x90zgY3dP33eKY4xJpzJxVYmriIhII8jPh0svheeeg40bgwT2uOOCdb/5DfzoRxD52ysiIompzkYb7j4oHoHIHse1a8eHhx/OoepqX0REpHFlZwclrS1bBqWt27fDfffBqafCO+8ogRURSVDqbSABtU5LY1irVmSnpoYdioiISPNlBv/zP/DnPwfjtY4dG4zZ+tJLYUcmIiL7UOKagD7YupX7V62ivKIi7FBERESav0svhXXr4Mkng5LXlJQgkT3llCC5feGFsCMUEUl6akSZgF7ctImbCwr4wUEHhR2KiIhI87NgQTB264oVe6b+/YP2rpMmBcPhFBbu2f7FF4OEVkREQhNK4mpmNwA3RWZfd/eTw4gjUe3YtYuslBRSzMIORUREpGn7f/8Pnn4aOnWCxx4Llp1/Pnz0UfA8OzsYHicvb88+f/sbtG69Z3lWVvzjFhGRvcQ9cTWzdOBm4DhgNrDBzE5z93/HO5ZE9dPu3fluly5hhyEiItL0bdwIW7dCnz57lv2//weZmUFi2qFDUB24qjPPjGuIIiJSN/M4j19mZhcDt7t7x8j8ywDuflJN+4wYMcJnz54dpwhFREREREQknsxsh7vn1LQ+jM6ZDgU2VJkvAPZrzGlmj5rZdjPbvn79+njFJiIiIiIiIgkmjMS1uoab+xX7uvsF7p7j7jm5ublxCEtEREREREQSURiJ66dAxyrz+cDqEOIQERERERGRJiCMxPUfQBszG2tmOcAxwP0hxCEiIiIiIiJNQNx7FXb3nWZ2C/A6QbXhN939+XjHISIiIiIiIk1D3HsVbggzqwCKw46jkaQB5WEHEWPJ8BqbmwO9Z7rnySce91zvq8Sje5J81yDZXm9T1Nj3SPc8OSXC+yjb3WusEdwkEtfmxMxmu/uIsOOIpWR4jc3Ngd4z3fPkE497rvdV4tE9Sb5rkGyvtylq7Huke56cmsL7KIw2riIiIiIiIiJRU+IqIiIiIiIiCU2Ja/w9GHYAcZAMr7G5OdB7pnuefOJxz/W+Sjy6J8l3DZLt9TZFjX2PdM+TU8K/j9TGVURERERERBKaSlxFREREREQkoSlxjSMzO8nMPjOzJWZ2XdjxNAYze9jM1pnZwirLbjazVWY2LzJNDDNGqZmZdTezN81skZl9bGZXNWR7M2tvZq+Z2eLIY7v4vAKJh1rue8w+62aWamYfmtkLjXVMiZ6ZZZnZLDObH7nnv44sT9rPupm1NbOnzezTyGfhyLBjaky13HP9TU9gZnZ15H4tNLMpZpbVgGPs9X2bzJ/zZFLNfW/wZ72GfKDR30dKXOPEzFKB+4CTgQHAZDMbEG5UjeIR4KRqlt/t7sMi04txjkmiVw5c4+79gdHA5XW8L2va/jrgdXfvA7wemZfmo7b3Saw+61cBixrxeFI/O4Fj3X0oMAw4ycxGk9yf9T8CL7t7P2Aoze/9WdM9B/1NT0hm1g24Ehjh7oOAVODcBhxq3+/bZP6cJ5Pq/s429LP+CPvnA43+PlLiGj9HAEvcfam7lwJTgTNCjumAuftbwKaw45CGcffV7j438nwbwRdYtwZsfwbw98hmfwfOjGHYEmf1fZ8cKDPLA04BHorVOaR2HiiKzKZHJidJP+tm1hr4GvBXAHcvdffCUINqZLXcc0lsaUC2maUBLYCv6rNzDd+3Sfk5TyaN/Xe2hnyg0d9HSlzjpxvwZZX5lcTwh18CuMLMFkSqDqiKSRNgZvnAcOD9Bmzf2d1XQ5DkAJ1iE6WErZr3SSw+6/cAPwMqGul40gCRamTzgHXAa+6ezJ/1XsB64G+RqnUPmVlO2EE1thruOehvekJy91XAXcAKYDWwxd1fredh7mH/79tk/Zwnk3uo/u9sY37WG/19pMQ1fqyaZc31P5kPAL0JqhqtBn4fajRSJzNrCUwDfuzuWxt7e2keqrnvjf5ZN7NTgXXuPudAjyUHxt13ufswIA84wswGhRxSmNKAw4AH3H04sJ1mWH2yhnuuv+kJKpJYnAH0BA4Ccszs/Hrsr+/bJFTLfU/4z7oS1/hZCXSvMp9HPatzNBXuvjbyx68C+AtBNWlJUGaWTpCMPObuzzRw+7Vm1jWyvivBf+ulGanuvsfos340cLqZFRA0qTjWzP7ZCMeVBopUiZ1J0H4pWT/rK4GVVUognyZIZJulqvdcf9MT2nHAMndf7+5lwDPAUfXYv6bv22T9nCeLau97DD7rjf4+UuIaPx8Afcysp5llEDSefz7kmGKi8k0a8XVgYU3bSrjMzAjabC1y9z8cwPbPA9+JPP8O8Fxjxyrhqem+x+Kz7u7Xu3ueu+cTfE++4e5RlyBI4zCzXDNrG3meTfAD+VOS9LPu7muAL83s0MiiCcAnIYbU6Gq65/qbntBWAKPNrEXke3oC9eg0rJbv26T8nCeLmu57DD7rjf4+SjvQA0h03L3czK4AXiHo9e1hd/845LAOmJlNAcYBHc1sJXATMM7MhhFUhS4ALg0rPqnT0cAFwEeRdk0Av6ilJ7lqtwd+BzxpZt8j+EM6KWYRSxhquu+T9VlvtroCf4/0iJ8CPOnuL5jZuyTvZ/1HwGORfz4vBS4MOZ7GVtM9f1Sf88Tk7u+b2dPAXILe3z8EHmyEQ+tvenL6n4Z+1mvIBxr9fWTuzbWZpYiISOMxs0LgX+7+3UY41tsE/xBwd0890OMlMjN7CJjk7m3CjkVERJouVRUWERGpp0ivslsauO8RwBhgUFNMWs0sx8xWmlm5mbmZ/TjsmEREpPlT4ioiIs2GmWWGHUMUDgd2uXu920gm0Ov7gKDqrIYsEhGRuFDiKiIiTVqk5O9FMysGSsws08y+Z2ZbIyWCxVVLBSOlpWWRdWVmdl9k+UwzW1pluzGRbTL3Od8pwPeA1pH1Hll+o5ntjCzbZWb/ribWnwL3A6mR7ZZElt9qZiWRZYWRc9T4+qo57ulmttHMKiLnfqXKa/rSzL6IHLvEzC7Y59j/jlwjN7MVZlZrlV533+7uX3f3B6hmWDczO8TM1kSOVwT0re14IiIi0VDiKiIizcF44BigPTCIoCv/uwg6IbwZ+IOZ9TOzXIKk8zR3N2AEQad5UXP36QS9LG91d4scB4LOKH4Sme8NTKlm3zuBqwlKXM3dDzGzE4AbIvu3AP4LPGtmOdW9PnffWfWYkZ4gn43s145guLUnqmySB/wdyCDoxOX+fcIaTzCERm+gczXr6+t1oIxgsPnzCdryioiIHBAlriIi0hxMcfdZ7r4ZuAUocPffRMakuwPYBPykyvYTzKydu89398YamsyBI82sm7sXuPvjUe73M4IxQu9w92LgdILe5y+usk3V17evXwA73f10d9/i7qvd/eEq6zdFrkUZcDvQcp/9/+HuH7r7UmAeweDzDWLBeL89gEsiY0v+C3ivoccTERGppMRVRESag8+qPO8B9KysxhupytsB6O7u6wlKNy8CNpnZOjM7uZFi+B7BOIpfRqr7Vk08qaxSXI0uwOrKGXffBewA+lTZ5rN9d6pyzF4EiXlNqnYitTmyX9XqxsuqPC8Gsms5Vl36RR5n13B8ERGRBlHiKiIizUHVToJWAp9VVuOtMp0M4O63uXsHgmrFK4Cpkf2KgKoJ3aFRno/Icf/u7l2BHGAm8ECUsa8hGEMTADMzgirDi2s7XxVLCV5LIvg08jiiyrL8EOIQEZFmRomriIg0NzcCfczsF2aWbmZtzOzHZjbCzAZGOkLKBbYSJKuVJaFvA13NbLSZdQdureUcy4GcynaokSFi7jOz7pHqvtVV6a0q1cy2RzpcygXyzKzAzJ4EnidIVM8ys8pqzBdWbm9mM/c51m1Appk9a2atzKyrmV0UzYVqqMh5KjtxyopcY4tUR/4S+LOZdTCz04DRsYxFRESSgxJXERFpVtx9FkH70J8BOwmSyF8QdNSUBlwBrAPKCdpzXhDZ7w7gY+Bd4AvgtVpOcw9B9dxtZlZZGvoNYHmk+u43CIaLqc6EyGPLyNQlcq5uwCRgLHA2MIogKTWCqs6V2/c3syuqvN7Vke2PIagWvDJynFjaDBQStMW9PfK8shOmE4AsYANBB1X/F+NYREQkCZh7TU1uREREpLEEBZJuZvYBMJyg510Ikr/H3P1CM9tJUEJ5CPBXd29dx/ZepVdjERGRZkuJq4iISBxUSVxnA5+6+/nVbPMWQWlwV+Ard59Ux/ZKXEVEJCmoqrCIiEh8PQ2caWadAczscDMbEFl3F0FV25HsaWNb2/YxYWavVO2Vucq0PpbnFRERqYlKXEVEROKgaumomU0DTomsKgNOd/c3I+tKgGJ3b1dl32q3V4mriIgkCyWuIiIiIiIiktDSwg4gGh07dvT8/PywwxAREREREZEYmDNnjrt7jU1Zm0Timp+fz+zZs8MOQ0RERERERGIgMrZ5jdQ5k4iIiIiIiCQ0Ja4iIiIiIiKS0JS4ioiIiIiISEJrEm1cRUREREREwlRWVsbKlSspKSkJO5T6cQdLnJHTsrKyyMvLIz09vV77KXFtBP+7ciXvbt3K4wNiOh68iIiIiIiEZOXKlbRq1Yr8/HwsgRLBWpWXw6JF0KUL5OaGHQ3uzsaNG1m5ciU9e/as176qKtwIPtq+nZmFhWGHISIiIiIiMVJSUkKHDh0SP2l1h5IS2LwZli6FnTshOzvsqAAwMzp06NCgUmuVuDaCcndSE/0NLCIiIiIiByShklb3oES1uBh27ID27SEjAzZsgOXL92zXvTu0bBlenPto6DVUiWsjKK2oIDOR3sQiIiIiItLsmBkXfOtb8NlnMH8+5XPmkHvwwZw6aRJs3x5s1Lo1Z/zqVxx5+eUwfDh07gzAzTffTLdu3Rg2bNjuqbAJ1RpViWsjKK6oICtF/wMQEREREZHYycnJYeEnn1C8YwfZu3bx2vvv061LF8jJgbZtASgsLmbuwoW0bNmSZStW7NWW9Oqrr+baa68NKfoDo2yrEXTKyGBgTk7YYYiIiIiISDN38sSJTP/iC+jZkymvv87k444LSlvnzoXFi5n21FOcdtppnHvuuUydOrXex7/zzjsZOXIkQ4YM4aabbgKgoKCAfv368f3vf59BgwZx3nnnMWPGDI4++mj69OnDrFmzgKBU96677tp9rEGDBlFQUNAor1uJayN4oG9fnhg4MOwwREREREQkXsaN23+6//5g3Y4d1a9/5JFg/YYN+6+L0rnf+AZT//lPSrZtY8HixYw6+uig86U2bWDLFqZMncrkyZOZPHkyU6ZM2Wvfu+++e3c14fHjx+937FdffZXFixcza9Ys5s2bx5w5c3jrrbcAWLJkCVdddRULFizg008/5fHHH+edd97hrrvu4rbbbos6/oZSVWEREREREZFEt2MHuDOkooKCzz9nysMPM/HooyE9PeiU6ZBDWLt2LUu++IIxY8ZgZqSlpbFw4UIGDRoE1F1V+NVXX+XVV19l+PDhABQVFbF48WJ69OhBz549GTx4MAADBw5kwoQJmBmDBw9utFLV2kSduJpZrruvj2UwTdEud46YM4cr8/L4TpcuYYcjIiIiIiLxMHNmzetatKh9fceOta+vTkoKmEHHjpx+xhlce999zJw5k40bN+7e5IknnmDz5s2727Vu3bqVqVOncuutt0Z1Cnfn+uuv59JLL91reUFBAZmZmVVCSdk9n5KSQnl5OQBpaWlUVFTs3q4hw97UpM6qwmZ2iZntBFZH5ieZ2cJGi6CJ21BWxtyiIop27Qo7FBERERERaa6ysoLHHj246PLLufHGG3eXgFaaMmUKL7/8MgUFBRQUFDBnzpx6tXM98cQTefjhhykqKgJg1apVrFu3Lur98/PzmTt3LgBz585l2bJlUe9bl2jauP4BGAuUArj7U8AhjRZBE7eprAyA9mmqdS0iIiIiIjG2bBl5eXlcddVVey0uKChgxYoVjB49eveynj170rp1a95//31g7zauw4YN26+K7wknnMC3vvUtjjzySAYPHsw555zDtm3bog7t7LPPZtOmTQwbNowHHniAvn37Nvx17sPcvfYNzIrcvaWZ7XD3FpFlxe6e3WhR1GHEiBE+e/bseJ2uXmZv3crIuXN5btAgTu/YMexwREREREQkBhYtWkT//v3jf+LS0qB9a3ExbN4cPB8+HFJT4x9LI6nuWkbyzRqHaommmLDQzC6JHCwHmApEX17czFXW4E41CzUOERERERFponbtgpKSPVNxMRx8cNDx0oYN8NVXwXbp6cF4rSnJNzhMNInrscArQCawDSgAJsQwpialbVoaY9u0oU0T/o+HiIiIiIiEZNMmWLp072VZWVBeHiSqHToEQ91kZkISN0+s85W7++dAzzjE0iT1bdGCtyLdRYuIiIiIiNTJHXbuDBLUFi2gW7fgeVZWkKBWLVHNzAymJFdn4mpmS4AJ7r48Mp8PvOrujdfSthnY5a7qwiIiIiIiUr2yMti+HYqKYNu2oErwwIFBstq1a9jRJbxoKkcfVJm0Arh7AZAXzcHN7GAzW2lmOyPTxWbWy8w2mllp5DG/YaEnjh8vXsxRkW6fRUREREQkyVVUBElqZHxT1q+H+fNhyRJYuzYoce3WDTIywo2zCYmmkrSZWX4kYcXMehFdwgvwOjDD3b8b6dipI/AkMMvdTzazlwg6expd20ESXZeMDGZt28aqnTvppmJ8EREREZHktWkTFBQEyWvv3tCuHbRsCXl5kJMTVA1W/zj1Fk0C+g/gMzN7y8zeAhYBj9S1k5l1Aw4GLgRw9+2RktvhwHWRza4DDmtA3AnljMgwOM+uXx9yJCIiIiIiEqqysiBp7d49SFgBsrOhSxdo1eqAklYz44ILLtg9X15eTm5uLqeeeupe251xxhkceeSRey27+eab6dat217juBYWFjY4lkrf/OY3dx8vPz+fYcOGHfAxqxNN50yXmtl04HzAgHPc/d9RHHsMsBNYbGYHASuAsUC6u8+PHHu+mTX5rrH65+QwKCeHqevWcUVeVLWoRURERESkOSgvD5LV7Oxgftu24DEzM+gVuBHl5OSwcOFCiouLyc7O5rXXXqNbt257bVNYWMjcuXNp2bIly5Yto2fPPf3sXn311Vx77bWNGtMTTzyx+/k111xDmzZtGvX4laKt8vsScDvwe2C9mUVTtTcDyAFuc/cWQDEwLdrAzOxRM9tuZtvXN4GSzG916sR/t26loLg47FBERERERCRWtmyBL7+Ezz8P2q3OmweLF+9Zn5UFublBteAYOPnkk5k+fToAU6ZMYfLkyXutnzZtGqeddhrnnnsuU6dOrdexKyoquOyyyxg4cCCnnnoqEydO5OmnnwbgN7/5DSNHjmTQoEFccskluPte+7o7Tz755H7xNJY6E1cze4qg5PRd4E1gZuSxLvOAXe7+cGT+IaAfUGZmQyPHHgqUV7ezu1/g7jnunpObmxvF6cJ1XufO3NmrF62SeGwlEREREZFm56uv4Nprgw6VIEhc169n3Pr1jNuxg3G7djGutJRxH37I/atWQV4eO/LyGLdwIeM+/HCv6ZHVqwHYENm+6hStyoS0pKSEBQsWMGrUqL3WVyazkydPZsqUKXutu/vuu3dX6x0/fvx+x37mmWcoKCjgo48+4qGHHuLdd9/dve6KK67ggw8+2F3i+8ILL+y179tvv03nzp3p06dP1K+lPqIpcT0D6OvuWe6eXflY107u/hGw3cxOiiyaBBQQJLS/iyz7HRD9XUpgPbKyuLZHDzo0cnUAEREREREJQUUF/L//BwMGwJ/+BKWlwfJu3WD48KCTpaysoGfgOHa2NGTIEAoKCpgyZQoTJ07ca93atWtZsmQJY8aMoW/fvqSlpbFw4cLd66+++mrmzZvHvHnzePPN/csi33nnHSZNmkRKSgpdunTZK7l98803GTVqFIMHD+aNN97g448/3mvf6kp/G1M0xYPbgS8bePxLgGlmlgIUAkdGzjnLzEqBImBEA4+dcHa588S6dXRMT+eE9u3DDkdERERERBrqssuCxHX8+OCxcmibSJI6c/jwGndtkZpa6/qOGRm1rq/L6aefzrXXXsvMmTPZuHHj7uVPPPEEmzdv3t2udevWrUydOpVbb701quPuW/23UklJCZdddhmzZ8+me/fu3HzzzZSUlOxeX15ezjPPPMOcOXMa/JrqEk2J6zpgnZm9bGbPVU7RHNzdn4hU9812967uXuDuS9y9vbtnRB6XHthLSBwG3LZ8OVcvWcKuGm66iIiIiIgkuNdfD5LVq64Knseo+mtDXXTRRdx4440MHjx4r+VTpkzh5ZdfpqCggIKCAubMmVOvdq5jxoxh2rRpVFRUsHbtWmbOnAmwO0nt2LEjRUVFu9u9VpoxYwb9+vUjL4Yd1UaTuK4C5hB0ttSqyiT7SDHjxvx8Ptmxg6ebQIdSIiIiIiJCUC14/nx49dVgvmtXmDwZbr8dzMKNrRp5eXlcddVVey0rKChgxYoVjB69px/dnj170rp1a95//31g7zauw4YNo6CgYK9jnH322eTl5TFo0CAuvfRSRo0aRZs2bWjbti0XX3wxgwcP5swzz2TkyJF77Td16tSYVhMGsJqKg/fb0CzX3UPJxkaMGOGzZ88O49T1VuHOwA8+IMOMeSNGYAn4RhcRERERSXpr1gSJ6quvwowZsHYt9OwJS6uvELpo0SL69+8f5yDjr6ioiJYtW7Jx40aOOOII/vvf/9KlS5dGPUd119LMdrh7jV0xR9Or8MVmthNYHZmfZGYL69gtaaWYcX2PHizYvp0XN20KOxwREREREanONdfAd74TJK4TJsDf/gZvvx12VKE79dRTGTZsGGPHjuVXv/pVoyetDRVN50x3A2MJhsHB3Z8ys0djGVRTN7lTJx5buzbqQXJFRERERCSGdu2CJ5+Ee+6Bv/4VBg2CW26Bn/4UhgyBFP1yr1TZrjXRRDXoqLvP2qfKq3oeqkV6SgqvDB0adhgiIiIiIgJwww1wxx1BJ0vr1gXLevUKNyapl2j+tVBoZpcAmFmOmf2boKdhqcPW8nL+u2VL2GGIiIiIiCSv1avh3nvh3HPh00/h2GMbfKho+weSmjX0GkaTuB4LXA9kAtuAgcCEBp0tyVyxeDGnffQRpRUVYYciIiIiIpJ8ysth9GgoKwuqBh9AleCsrCw2btyo5PUAuDsbN24kKyur3vvWWlXYzNKBl929Z0ODS2aTcnN5dO1a3iws5MT27cMOR0RERESkedu5E955J+hw6Xe/g7Q0+MUvgnashxxyQIfOy8tj5cqVrNewlwckKyurQeO91pq4unuZmbU2sxx3397g6JLU8e3a0TI1lWfWr1fiKiIiIiISC4sXBx0vvfkm/N//QXExtG8PP/oR5OXBpZc2ymnS09Pp2VPleWGJpnOmdcA6M3sX2J28uvsZMYuqmchKTWVC27a8smkT7q4xXUVEREREDtRnn8Ezz8BZZ8Ghh8K8efDLXwalqpdcAuPGwYknQnZ22JFKI4omcV0TmVKAVrENp/k5oX17ntu4kWUlJfTSh0dEREREpOGefz7oZKm4GDp3DhLXU06BDRugQ4ewo5MYqjNxdfdjAcws191VobuevtmpEye0a0fPBjRAFhERERERYMcOePBBuOYaOPzwoMS1sp1kixbBJM1and1qmdnFZrYTWB2Zn2RmC2MeWTPRIT2dQ1q0UDVhEREREZH62LYtKFkFeOABuPpqOPnkoC1rAzr3kaYtmv6g7wbGAqUA7v4UcGBdciWZaevX8/svvww7DBERERGRxOYOTz0Fp58OublBySrAt74FM2YEVYVzcsKNUUIR1UBG7j5r30UxiKXZemnjRv5nxYqwwxARERERSVylpfD978M3vhF0uPTDH8LQocG6rl1hwoQDGodVmrZo7nyhmV0CYGY5ZvZvgp6GJUqHtmjBurIyCsvKwg5FRERERCQxff/78PDDQQ/BBQVw990waFDYUUmCiKZX4WOBV4BMYBtQAEyIYUzNTr9IY/FFO3ZwZJs2IUcjIiIiIpKAfvazoA3runVw0kkwdmwwjRqloW2k5hJXM3sv8vRSd+/p7qnunuLuvdx9SZziaxb6V0lcRURERESkGoMGweTJkJEBa9bATTfB+PFBj8ETJgTtXyVp1VZVeJiZZQM/jFcwzVXP7Gxapqby1c6dYYciIiIiIpK4iopgwAD49reDZLVSv36gUTqSWm1VhRcAOwDMbL9/b7i73jlRSjVj7VFH0SI1NexQREREREQSx44d8NJLcOaZkJoKv/413HVXsC4/HyZNgpEj4aqrwoxSEkBtiesEd99mZqvdvWvcImqmKpPWsooK0tUbmoiIiIgkq/LyYGibxx+HZ58NSlnfeCOoFvzd7waPI0cGw+GIRNSWuK4FWgDFcYqlWXN3Jn/yCalmPDZgQNjhiIiIiIjE32efBR0urV8PbdvCuefCeecFywAGDgwmkX3UlrimmNmDQHczu2Pfle7+89iF1fyYGb2ys7l9xQouPeggvta2bdghiYiIiIjEV+/ecNpp0KkTvPsuHH44HHpoUE1YpBbmNfTOZWY/BC4HBgBf7LPa3b1vjGPbbcSIET579ux4nS5mduzaxeAPPiDNjA9HjFCbVxERERFJTtOnw49/DEuWBJ0ujR4NX/86XHYZ5OSEHZ2EwMx2uHuNN7/GxLXKAf7m7hc2emT10FwSV4A3Nm/muPnzOa9zZ/7Rrx+m3tFEREREJBm5w8cfB+1cn30Wli4NxnDNyIBXXgmqEo8cCeofJik0OHE1s5+4+x+qqyYM8a0q3JwSV4DfFBRw36pVzB0xgm6ZmWGHIyIiIiISvs2boV274PmQIfDRR9C1K9xwA1x+ebixScwdSOI6093HmdnialarqvABqHBnQ1kZnTIywg5FRERERCTxbNoE998Pv/oVfOtb8NhjYUckMVZX4lpj50zuPi7y2CcGcSW1FDM6ZWTg7ly/dCnj2rblpA4dwg5LRERERCQxtG8P770H2dlwxx2wZUvQ9jWttr5lpTmr8c6b2XO17ejuZzR+OMll+65dvLp5M/esXMmzgwZxspJXEREREZHAoEHwwAOQlxdUFf7b3+Cww+CII4K2r0ccEfRSLEmhtqrCb0Se9gIOAhZE5ocAS929X+zDCzS3qsJVbSor47j58/l4+3amDhjA1zXQsoiIiIjI3l59FV56CWbNgrlzoaQEevSA5cvDjkwaSWP0KrwBGOzuqyPzXYEF7h5VhmVm6cAWYJu7dzazXsAHQCtgG3C4uxfUdozmnLgCbC4rY+JHH/H+1q3ce8ghXJGXF3ZIIiIiIiKJqaws6I14/XoYNw7S08OOSBpBXYlrNH1LtwKKqswXAa3rEcPTwLoq81OAWe6eAcwCptbjWM1Su/R03hg6lEm5uXTPygo7HBERERGRxJWeDgcdFIwBe9BBcMklYUckcRBN6+b/AOvM7H2gAjgSeDOag5vZCGAscCtQOXzOcGBk5Pl1BKWvSS87NZUnBg7cPf/Chg2MbduWNmqALiIiIiISePpp+POf4c03oaIC+vWDc84JOyqJgzpLXN39BOB7wEZgM3Chu58U5fH/BfyIIOGtlO7u8yPHnk90yXNSWVtayjc++YQj587li+LisMMREREREUkMt98OixfD9dfDggXwySdwwglhRyVxEE1VYdz9cXc/OzJFVbXXzH4NFLp7gwZdMrNHzWy7mW1fv359Qw7RZHXOyGD64MGsLS3liDlzeGPz5rBDEhEREREJ12efBR0zFRdDeXkwPI5Z2FFJnESVuDbQ8UA/MysHfg90MrOlQJmZDQWIPJZXt7O7X+DuOe6ek5uEPe2Ob9eOWYcfTpeMDE6YP5/7Vq0KOyQRERERkfD06QOvvAJHHw133gmHHAIPPRR2VBInMUtc3f0od09z9zTgGmCdu/cC5gG/i2z2O+DDWMXQ1PXOzubdww7j5A4dKCyvNr8XEREREUkOKSlBteBnn4XnngtKW9u0CTsqiZMw2pd+C5hlZqUEPRSPCCGGJqN1WhrPDRpEZSWI+UVF9MrKopU6bRIRERGRZHXqqUH71r59w45E4qRBJa5mtqg+27v7Pe7eOfJ8ibu3d/eMyOPShsSQTFLMMDO2lZdz3Pz5nLBgAYVlZWGHJSIiIiISXxUV8N57wfNDD1Ub1yRSZ+JqZtWN6HtrDGKROrRKS+PBvn2Zs20bJ3/0ETsrKureSURERESkKSsuhtdeg5/+FIYOhSOPhP/+N+yoJM6iKXEtNrNFZnatWfAvjYb2FCwH7uu5uTzevz/vbd3KNUuWhB2OiIiIiEjjcg+SVQh6EW7fPmjbeu+90KkT3HcfHHVUuDFK3EWTuOYCLwNXE/QIvMDMfhjbsKQ253TqxDV5edz31VdM37gx7HBERERERA7cwoVwww3QuzfcckuwbMAA+MEPYPp02LQJXn8dLrtMVYSTkLl79Bub5QOvA73cPW7vlhEjRvjs2bPjdbomoayigvtWreLybt1IT4nlqEYiIiIiIjF0zz3w8MPw0UeQmgoTJsDll8Ppp4cdmcSRme1w95ya1kfVNa2ZXQlcAhwKrAHuapzwpKHSU1L4cffuAKwrLWVLeTl9WrQIOSoRERERkX3MmQOzZsGXX8KKFcHj9u1QWTD1f/8HrVrBn/4EkyYF1YFF9lFn4mpmZcB6YBow3t3XxzwqiZq7c+bChawpLeW9ww6jU0ZG2CGJiIiISDKZNQteeWVPUrpiBaxcCevWQVYW/POfQalqWhrk5UH37tCvX9BDcEoKPPYYpFfXH6zIHnVWFTazbu6+Kk7xVEtVhWs3a+tWxs2bx7CWLXlz2DAyVXVYRERERGJp9mzo0wfatIE//AGuuQY6dw6S0h49gsdf/zpYv2ZNkKR27hxUBRapRl1VhWtMXM1surufYmbzqlvv7sMaJcIoKHGt29Pr1jHpk0/4bpcuPHzooZgarIuIiIhIY6uoCDpRGj8ejjkGnnkmqPabmhqUroo0UF2Ja21Fc3Mij7NqmCSBnNOpEzcdfDCPrFnDw2vWhB2OiIiIiDRVFRVBVd8334SiomDZk0/CwIHQokUwlmp5OdxxR7AuJ0dJq8RcjW1c3f3GyOMl8QtHDsSN+fmYGad26BB2KCIiIiKSyNxh7dog6WzVKuhA6bbbYPFiWLJkzziqb78NY8YEVX779IGJE4PHY4+FQw4J9zVIUqkxcTWzWovt3L1L44cjByLFjJvy8wGoiFQBT1GVYREREZHk5R6Mebp2LTz4IHz2WTB9/jls3QqPPw6TJ0NZGXzySZCUHndc8NinDwwZEhznxBODSSQktfUqfFvk8UKgA/BIZP7bQKidNUntCsvKOG3hQs7r1IkfdOsWdjgiIiIiEmtlZTBzJixaFCSllQnqlVfCtdfCzp1w441Bx0mHHgoXXBA8jhgR7D96dLCvSIKqrarwvQBm9ht3b1tl1Y1mVhjjuOQAtElLI9OMny9dytm5ueRqiBwRERGR5sEdli+HDz8Mpvx8uOiioF3qxIlB29PWrYOk9JhjgmFnIOjld/v2oI2qSBNU5ziuQLaZHePu/wEws7FAdmzDkgNhZvxvnz4M/uADbioo4P6+fcMOSUREREQO1De/Ca+9Bps3B/MpKfDtbweJa2YmvPMOHHxwMOzMvs3FzJS0SpMWTeL6G+B1M4t0KUZL4JexC0kaQ/+cHH7YrRv3r1rFDw46iCEtW4YdkoiIiIg0RGkp/OAHsGULTJoEw4cH0+DBeyejo0aFF6NIjNU4juteG5m1Ak6KzL7s7ttiGtU+NI5rw2wqK6Pv++9zfPv2TBkwIOxwRERERKQhZs+GsWODasJ33AFXXRV2RCKNrq5xXKMpcSWSqD7VaFFJXLRPT+flIUMYkFPj/RcRERGRsO3aFYybumzZ3tOVV8LIkcG6kpJg2+uug4svVrVfSTpRJa7SdI1o3RqAsooKUs00PI6IiIhImJYvh3/+M0hMzzkHTjop6GRp5Mg926SkQF5eUC0YgirA//hH0BFT//5KWiUpKXFNAgXFxRw7fz5/6N2bM3Nzww5HREREJHnddlswnmrnznuS1UMPhb/8BXr2DJLT7t2h6qgQXbsGw9eIJLE6E1cz+5u7X1hlPh14xd2PjWlk0mjyMjOpcOf3K1cqcRUREREJy5Yt8MknMHQozJu3Z3mrVvD974cWlkhTkBLFNuPNbJ2ZDTWzM4FCoFVMo5JGlZaSwhXduvHOli0s2bEj7HBEREREkse6dcEE8H//FwxZM2xYqCGJNEV1Jq7ung88DnwIPA1c4+4ja91JEs6kTp0AeHbDhpAjEREREUkC//43jBsXVPP94x+DZRMmBMnrww+HGppIU1Rn4mpmxwEXAZ8CRcCPzKxDrAOTxnVwVhaDc3J4vXLAahERERGJja1b4dxz4csv4Ve/gvPOC5ZnZMCRRwadL4lIvUTTOdN04JfufqeZGfAcsArIimlk0uh+0aMHmfqiFBEREYmtO+6AHTvg8ceDHoFF5IBFk7j2cvdVAO7uwOmRUlhpYs7t3DnsEERERESan1274I03YPx4SEsDdzjuODjiiLAjE2k2oklcb7Tqx/6c0cixSIy5O/OKigAY3kr9a4mIiIg02Jdfwrvvwn//C08/DV99BdOnw8SJcOONkJkJ1f+GFpEGiCZxHV3leSbQG1gbm3Ak1s76+GOG5OTw3ODBYYciIiIi0jTs3Akffght2kD//vDRRzBkSLAuKysoXf3jH+HYY/csE5FGVWfi6u5Dq86bWXfgg5hFJDFjZkxs355H1qyheNcuslNTww5JREREJPG4wyOPwPz58MEHMGdOkLxefjn86U9B8nrvvTB6dDAma0ZG2BGLNHsWNFutxw5m2UChu2fGJqT9jRgxwmfPnh2v0zVrbxUWcsy8edzVuzfXdO8edjgiIiIi4Vm/PkhO580LHjt3hrvuCtZ17w6bNgVjrh55ZDAdfTR06RJmxCLNlpntcPecmtbXWeJqZmuqzgLtAWWRTdTX2rblpPbtuXX5ci7q0oV26elhhyQiIiISf6ecAi++uGe+W7dgWaX33w8SWdVQE0kI0bRxva3K81JgtrsrcW3C7ujVi699+CFzi4qY0K5d2OGIiIiIxMfrr8OYMUHHSeecAxMmBCWqQ4dChw57b3vQQaGEKCLVq3dV4agPbHYE8ArQAnBgurufbWa9CNrItgK2AYe7e0Ftx1JV4ca3fdcucvQfRBEREWnudu6EGTNg6lT45z/ht7+FX/wi7KhEZB91VRVOqWVHr22K4tw7gcsjbWF7AqeZ2WnAFGCWu2cAs4Cp9XtJ0hhyUlNxdz7fsSPsUEREREQanztcdBHk5sKpp8Lzz8OVV8JPfhJ2ZCLSADUmrsA4d7eaproO7O7z3f3xyPPVwEZgADAcuC6y2XXAYQf4GqSBrlu6lBFz5rClvDzsUEREREQOzMaN8Pe/w09/GsxXjqH6zW8GbVnXrQuGrNFQNSJNUo1Vhc1su7vnmNkmd29/QCcxGwPMBA4GVlZNfM2swt33S6DN7FHgLIAePXq0WL58+YGEINV4p7CQsfPm8cSAAXyjU6ewwxERERGpn1WrYNo0ePZZePtt2LULevSAjz+Gli3Djk5E6qHBVYWDfe0NoLWZPbfvVI8AOhO0df29u6+Kdj93v8Ddc9w9Jzc3N9rdpB6ObNOG9mlpPLdhQ9ihiIiIiESnuBhKSoLnL7wAV10VDGtz3XUwezYUFChpFWmGaktczwJKCIbAaVXNVKfImK8fAzPc/eeRxWVmNjSyfiigeqohSTXjW50789T69ays/AMgIiIikoi++AKuvTYYtuaRR4Jl3/wmfP45LFwIt94Khx++p4qwiDQrNSau7v6yu08Ebnb3Y/ed6jqwmRmwEPjS3c+osmoe8LvI898BHzY8fDlQ1+TlUeHOg6tXhx2KiIiISPXuvhv69IF77oHjjoPDIl2ktG0bLBeRZi+Ww+H8ELifoNS20u3A4wS9CbcEioAR7r60tmNpOJzYem/LFka0akVaSm0F8CIiIiIhqKgI2q327BkMadOtW9gRiUgM1NXGNS1WJ3b3B4AHalh9QJ09SeMa3aZN2CGIiIiIVG/TJujbF77/fSWtIkmstnFch8YzEAnXnStWcNnnn4cdhoiIiCS7nTvhscfg6KPhrbegY0d44w341rfCjkxEQlRb3dAZZrbNzN41sx+bWWbcopK4+3LnTh5Zs4bSioqwQxEREZFkU1oK990HX/86dO4M558f9BRcVBR2ZCKSIGrrnCkXyANeAL4DbDKzVWb2qJmNjleAEh/j2raluKKCOdu2hR2KiIiINHdffQWPPrqnd+C0NPj1r+HDD+Gcc+DVV+HTT2HixFDDFJHEUWsbV3ffAvw2MmFmY4HLgX+ZWUt31yBZzcTYSDvXt7ds4Ui1eRUREZFYef11OP54cA+Gr/nudyElBT7+OKgWrOFsRKQa9eqcyd3fBt4GMLMae3ySpic3I4MemZnMV5UcERERiaWVK4Ok9cUX4cQT9yzPzQ0vJhFJeA3uVdjdtzdmIBK+Uzt0IF3/5RQREZFYqmyW1K9fUNIqIhKFmA2HI03PfX37hh2CiIiINHeZmXDMMXDwwWFHIiJNSJ3/5jKzAdUsOyk24UgicPewQxAREZHm6uKL4c03VdoqIvUSzTfGPDO7u3LGzJ4HnotdSBKWpcXFdH/3XZ5evz7sUERERKQ5u+sueOaZsKMQkSYkmsR1JDDZzL40s0LgEKBHTKOSUORlZrKxrIzpGzeGHYqIiIg0V6Wl8NRTQW/CquUlIlGqM3F19/nAf4CuQEvgXndfG+vAJP4yUlK49KCDeHTtWj7Zrr63REREJAYyMuCoo5S0iki9RNPGdSMwAugNnAPcZWYfxDowCccNPXrQMjWVG5YtCzsUERERaa6Ki6GoCLp2hWnTgmXl5VBREW5cIpKwoqkq/KC793b35e7+L6ADsCW2YUlYOmZk8JPu3fnXhg0sUqmriIiIxMLtt8ODD8Lxx0OPSAu0l1+Gjh3hjDPgD3+A2bODZFZEBLCm0IPsiBEjfPbs2WGHkTS2lpcza+tWJrRrh2lcVxEREYmH2bPhgQfgrbdgyZJgWatWsGAB5OfD5s3BfJpGcxRpjsxsh7vn1LS+zk++mVWb2bq7MppmqnVaGse1bx92GCIiIpJMRoyAv/41eP7VV0EC++67e0pkf/5zmDIFjj4axo2DSZOgd+/QwhWR+Kp3iauZ3Q58zd2Pjk1I+1OJa3xVuPPrggImdujAqNatww5HREREBF55BZ5/HmbOhE8+gbFjg+RWRJqFAy5x3Ze7X29m2w4sLElkG8vK+M3y5XRMT1fiKiIiIonhxBODCeC884LSWBFJGtFUFb6jymwqELeSVgnHip07AeiWmRlyJCIiIiLVuOGGoGdiEUka0ZS4nlXl+S5gBTAqNuFIIqjsTbhfixYhRyIiIiJSjQEDgseSEvjJT+DGG6FLl3BjEpGYqjNxdfc+8QhEEsfC7dtJN+OQ7OywQxERERGp2fz58Pe/B+1fZ8yAnj3DjkhEYqTGxNXM5gM19tzk7sNiEZCEb3FxMYNzcshIiWaYXxEREZGQjBoFb7wBJ58c9Db8n/9AH5W5iDRHtZW4vh+3KCShPD1wIFt37Qo7DBEREZG6jRgBWVmwejW8/bYSV5FmqrbE9Th372Vm09z97LhFJKEzM9pocG8RERFJVI88Ar//PSxYAKmp8D//EySsRxwRdmQiEiO11QXtZmZHARPNLN/MelWd4hWgxNfcbdu4YNEilqmnPhEREUlUf/wjLFwIp50Gq1bB+ecH1YbNwo5MRGKktsT138CbQBawGPhsn0maoXe3buWfa9eSri9+ERERSVRvvQXXXQevvQZ9+8Kf/hR2RCISYzUmru5+jrtnAh+7e/q+UxxjlDj6dMcOWqemagxXERERSVytWsHtt8OiRXDWWfDJJ2FHJCIxFs1wOIPiEYgkhoKSEnpmZWEqcRUREZFEl5MDjz4adhQiEgca70T28mVJCT2yssIOQ0RERKR6O3YEnTONGgUDBoD65RBJCkpcZS+t0tI4JDs77DBERERE9nfnndCtG1x4IWzbBjfdBO5hRyUicaAxT2Qvbw8fHnYIIiIiIvtbvhx+/nOYMAF++Uv42tfUi7BIEgklcTWzG4CbIrOvu/vJYcQhIiIiIk3EwQfDrFnBY25u2NGISJzFvaqwmaUDNwPHA+2AcWZ2WrzjEBEREZEmZsQIJa0iSSqMNq7fBba4+3/cfTvwH+DyEOIQERERERGRJiCMxPVQYEOV+QLgoH03MrNHzWy7mW1fv359vGITERERERGRBBNG4lpdK/r9uoNz9wvcPcfdc3JVJURERERERCRphZG4fgp0rDKfD6wOIQ4RERERERFpAsJIXP8BtDGzsWaWAxwD3B9CHCIiIiIiItIExH04HHffaWa3AK8TVBt+092fj3ccIiIiIiIi0jSY+37NSxOOmVUAxY182DSgvJGPKXtLpGucSLE0V4l0jRMpluYsUa5zosTR3CXKdU6UOJq7RLnOiRJHc5cI1zkRYkgWiXCtq4sh291rrBHcJBLXWDCz2e4+Iuw4mrNEusaJFEtzlUjXOJFiac4S5TonShzNXaJc50SJo7lLlOucKHE0d4lwnRMhhmSRCNe6ITGE0cZVREREREREJGpKXEVERERERCShJXPi+mDYASSBRLrGiRRLc5VI1ziRYmnOEuU6J0oczV2iXOdEiaO5S5TrnChxNHeJcJ0TIYZkkQjXut4xJG0bVxEREREREWkakrnEVURERERERJqApEhczexhM1tnZgurLLvTzD41swVm9qyZtQ0xxGbPzK41MzezjnE41373O4w4kpGZ3RL5TM0zs1fN7KAYn6/ae21mPzKzz8zsYzP7n1jGkMzi/T1aw3f5MDN7L/Kem21mR8QyhmRmZpMin6kKM4t5b5Rm1t3M3jSzRZHzXhVZ3t7MXjOzxZHHdrGOJZmY2UmR788lZnZdHM9b0/3W77UYqu03U4zPW+39rrJev9dioK7rHsZ56/ObLSkSV+AR4KR9lr0GDHL3IcDnwPXxDipZmFl34HhgRZxO+Qj73+8w4khGd7r7EHcfBrwA3Bjj8z3CPvfazMYDZwBD3H0gcFeMY0hm8f4efYT9P9v/A/w68p67MTIvsbEQOAt4K07nKweucff+wGjgcjMbAFwHvO7ufYDXI/PSCMwsFbgPOBkYAEyOXPN4qOl+6/dabD1CNb+Z4qCm+63fa7FV43UP47z1/c2WFImru78FbNpn2avuXjno7XtAXtwDSx53Az8D4tKgurr7HUYcycjdt1aZzSHG17qGe/1D4HfuvjOyzbpYxpDM4v09WsP9dqB15Hkb4KtYxpDM3H2Ru38Wx/Otdve5kefbgEVAN4IfOX+PbPZ34Mx4xZQEjgCWuPtSdy8FphJc75ir6X7r91ps1fKbKdbnrenzDfq9FjN1XPcwzluv32xJkbhG4SLgpbCDaI7M7HRglbvPVxzJwcx+a2ZfAucR+xLX6vQFxprZ+2b2HzMbGUIMySis79EfA3dG3nN3odKYZsnM8oHhwPtAZ3dfDcGPIaBTiKE1N92AL6vMryQOP2r3tc/9rkq/15qhqvdbv9fip5bPWTzPW6/fbGlxiC+hmdkNBMXXj4UdS1NlZjOALtWsugH4BXBCfCPam5m1iMQSahzNRW33292fc/cbgBvM7HrgCuCmuAYYfK+1I6iKMhJ40sx6ubpQb5C67ndkmzC/R38IXO3u08zsG8BfgeNCiKNZiOZ+x5uZtQSmAT92961mFkYYyaK6ixvX785973eV5fq91gxVvd8E91e/1+Kgps9ZvM9rZvX6zZbUiauZfQc4FZigH7UN5+7V/kg0s8FAT2B+5IdGHjDXzI5w9zVxDLF3gsTRLNR0v6vxODCd+CeuK4FnIp/pWWZWAXQE1sc5jmahrvudAN+j3wEqO3l4CngohBiajXp8vuPCzNIJfuQ85u7PRBavNbOu7r7azLoCag7QeFYC3avM5xHH6vc13O9E+J6RGNj3fifQ78ZmrabPWUjnrddvtqStKmxmJwE/B0539x1hx9McuftH7t7J3fPdPZ/gzXlYvL98EiWOZGBmfarMng58GkIY/wKOjcTTF8gANoQQR7OXIN+jXwHHRJ4fCywOKQ5pZBb8cv0rsMjd/1Bl1fME/7Ag8hhKSXAz9QHQx8x6mlkGcC7B9Y65mu53gnzPSCOr7n7r91rs1fK9GtZ5/0U9frNZMvzjysymAOMIMvi1BCVA1wOZwMbIZu+5+w9CCTBJmFkBMMLdY5pEVHe/3f2v8Y4jGZnZNOBQoAJYDvzA3VfF8HzVfbYfBR4GhgGlwLXu/kasYkhmZraEOH6P1nC/PwP+SFCDqAS4zN3nxCqGZGZmXwf+F8gFCoF57n5iDM83Bngb+IjgOwWC5ifvA08CPQh6HZ3k7nHvXKa5MrOJwD1AKvCwu/82Tuet6X7fi36vxUxdv5lieN5q77e7v1hlmwL0e61RRXPd43leYAb1+M2WFImriIiIiIiINF1JW1VYREREREREmgYlriIiIiIiIpLQlLiKiIiIiIhIQlPiKiIiIiIiIglNiauIiIiIiIgkNCWuIiIicWBmjd6NfyyOKSIikoiUuIqIiIiIiEhCU+IqIiISZ2b2gpltN7NiM5sZWfaemU2tss1MM3u+pu1FRESSiRJXERGRODKz64DeQMvI1N/MrgDuAU6qsumRwG21bC8iIpI0lLiKiIjE19lAH2AHUAS0Aw5396lAtpkNN7NJwE53f6+m7UOJXEREJCTmrn4dREREYs3M3N3NzGYDn7r7+dVs8xawDugKfOXuk+rY3t3dYh68iIhIyFTiKiIiEl9PA2eaWWcAMzvczAZE1t0FnACMBG6NYnsREZGkoBJXERGROKhaOmpm04BTIqvKgNPd/c3IuhKg2N3bVdm32u1V4ioiIslCiauIiIiIiIgkNFUVFhERERERkYSmxFVEREREREQSmhJXERERERERSWhKXEVERERERCShKXEVERERERGRhKbEVURERERERBKaElcRERERERFJaEpcRUREREREJKH9f7ETuuq2ZDYeAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 1152x432 with 4 Axes>"
       ]
@@ -2424,27 +2479,20 @@
    "source": [
     "fig1 = matplotlib.pyplot.figure('compare_NN_results', figsize=(16,6))\n",
     "for ix1,model_name in enumerate(model_dict.keys()):\n",
-    "    ax1 = fig1.add_subplot(2,1, 1 ,title=f'results for {model_name}')\n",
-    "    ax1.plot(metrics_dict[model_name]['me_p'][1:],yax, '-r', label='ME emu')\n",
-    "    ax1.set_xlabel('level')\n",
-    "    ax1.set_ylabel('flux / flux div. difference')\n",
-    "    ax1.legend(loc='upper right')\n",
-    "  \n",
+    "    ax1 = fig1.add_subplot(len(model_dict.keys()),1, ix1+1 ,title=f'results for {model_name}')\n",
     "    \n",
-    "    # ax1 = fig1.add_subplot(2,4, (4*ix1) + 3, title=f'results for {model_name}')\n",
+    "    ax1.plot(metrics_dict[model_name]['me_p'][1:],yax, '-r', label='ME emu')\n",
     "    ax1.plot(metrics_dict[model_name]['me_ctl'][1:],yax, '-c', label='ME ga7')\n",
+    "    \n",
     "    ax1.set_xlabel('level')\n",
     "    ax1.set_ylabel('flux / flux div. difference')\n",
     "    ax1.legend(loc='upper right')\n",
     "    \n",
-    "    # ax1 = fig1.add_subplot(2,4,(4*ix1) + 2, title=f'results for {model_name}')\n",
+    "    ax1 = fig1.add_subplot(len(model_dict.keys()),1, ix1+1, title=f'results for {model_name}')\n",
+    "    \n",
     "    ax1.plot(metrics_dict[model_name]['mae_p'][1:],yax, '--r', label='MAE emu')\n",
-    "    ax1.set_xlabel('level')\n",
-    "    ax1.set_ylabel('flux / flux div. difference')\n",
-    "    ax1.legend(loc='upper right')\n",
+    "    ax1.plot(metrics_dict[model_name]['mae_ctl'][1:],yax, '--c', label='MAE ga7')\n",
     "    \n",
-    "    ax1 = fig1.add_subplot(2,4, (4*ix1) + 4, title=f'results for {model_name}')\n",
-    "    # ax1.plot(metrics_dict[model_name]['mae_ctl'][1:],yax, '--c', label='MAE ga7')\n",
     "    ax1.set_xlabel('level')\n",
     "    ax1.set_ylabel('flux / flux div. difference')\n",
     "    ax1.legend(loc='upper right')"
@@ -2457,7 +2505,20 @@
    "source": [
     "### Example - Recurrent Neural Network\n",
     "\n",
-    "** This example is under construction, do not use!**"
+    "For our next example we will look at a class of neural network architecture called *recurrent neural networks*. In this architecture, unlike in a feed forward network, where as the name suggests the functions all feed forward from inoput to output, instead some of the inputs are fed back in as inputs. More precisely instead of feeding in one data point as input, we have seuqences of input data points. The output from data point n in the seuqence is used as an inout for item n+1 in the sequence. The ffect is that the nerual network remembers the pervious results to some extent and uses this to inform the result for the current input. This commonly used in sequential data such as a time series and veryextensively in the broader machine learning community for anything to do with language, where the meaning is about the sequence of words and sentences to give meaning rather than each word in sentence operating independently. \n",
+    "\n",
+    "In weather and climate, this is often used for time series data such as from a particular weather station. In this case we're going to use it for our wind rotors problem. This is based on the assumption that whether or not rotors occured at the previous time (i.e. three hours previously) affects whether we expect rotors now. So we are going to have a go at preparing our data to feed into a particular type of recurrent NN called an LSTM, which stands for long short-term memory.\n",
+    "\n",
+    "Further reading:\n",
+    "* [Introduction to RNNs - Machine Learning Mastery](https://machinelearningmastery.com/an-introduction-to-recurrent-neural-networks-and-the-math-that-powers-them/)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "06abdde6-809b-4c59-8f7b-63ad338625c5",
+   "metadata": {},
+   "source": [
+    "First we have some cells we have seen before in previous notebook to load and prepare the data."
    ]
   },
   {
@@ -2546,8 +2607,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 17.6 s, sys: 1.73 s, total: 19.3 s\n",
-      "Wall time: 19.3 s\n"
+      "CPU times: user 17.2 s, sys: 1.77 s, total: 19 s\n",
+      "Wall time: 18.9 s\n"
      ]
     }
    ],
@@ -2630,116 +2691,17 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 77,
-   "id": "93d88395-3aec-452b-82d7-585cd9feb22a",
+   "cell_type": "markdown",
+   "id": "36c7d14f-ae53-45c7-9ab2-d3441d9cff74",
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "{'air_temp_1': StandardScaler(),\n",
-       " 'air_temp_2': StandardScaler(),\n",
-       " 'air_temp_3': StandardScaler(),\n",
-       " 'air_temp_4': StandardScaler(),\n",
-       " 'air_temp_5': StandardScaler(),\n",
-       " 'air_temp_6': StandardScaler(),\n",
-       " 'air_temp_7': StandardScaler(),\n",
-       " 'air_temp_8': StandardScaler(),\n",
-       " 'air_temp_9': StandardScaler(),\n",
-       " 'air_temp_10': StandardScaler(),\n",
-       " 'air_temp_11': StandardScaler(),\n",
-       " 'air_temp_12': StandardScaler(),\n",
-       " 'air_temp_13': StandardScaler(),\n",
-       " 'air_temp_14': StandardScaler(),\n",
-       " 'air_temp_15': StandardScaler(),\n",
-       " 'air_temp_16': StandardScaler(),\n",
-       " 'air_temp_17': StandardScaler(),\n",
-       " 'air_temp_18': StandardScaler(),\n",
-       " 'air_temp_19': StandardScaler(),\n",
-       " 'air_temp_20': StandardScaler(),\n",
-       " 'air_temp_21': StandardScaler(),\n",
-       " 'air_temp_22': StandardScaler(),\n",
-       " 'sh_1': StandardScaler(),\n",
-       " 'sh_2': StandardScaler(),\n",
-       " 'sh_3': StandardScaler(),\n",
-       " 'sh_4': StandardScaler(),\n",
-       " 'sh_5': StandardScaler(),\n",
-       " 'sh_6': StandardScaler(),\n",
-       " 'sh_7': StandardScaler(),\n",
-       " 'sh_8': StandardScaler(),\n",
-       " 'sh_9': StandardScaler(),\n",
-       " 'sh_10': StandardScaler(),\n",
-       " 'sh_11': StandardScaler(),\n",
-       " 'sh_12': StandardScaler(),\n",
-       " 'sh_13': StandardScaler(),\n",
-       " 'sh_14': StandardScaler(),\n",
-       " 'sh_15': StandardScaler(),\n",
-       " 'sh_16': StandardScaler(),\n",
-       " 'sh_17': StandardScaler(),\n",
-       " 'sh_18': StandardScaler(),\n",
-       " 'sh_19': StandardScaler(),\n",
-       " 'sh_20': StandardScaler(),\n",
-       " 'sh_21': StandardScaler(),\n",
-       " 'sh_22': StandardScaler(),\n",
-       " 'u_wind_1': StandardScaler(),\n",
-       " 'u_wind_2': StandardScaler(),\n",
-       " 'u_wind_3': StandardScaler(),\n",
-       " 'u_wind_4': StandardScaler(),\n",
-       " 'u_wind_5': StandardScaler(),\n",
-       " 'u_wind_6': StandardScaler(),\n",
-       " 'u_wind_7': StandardScaler(),\n",
-       " 'u_wind_8': StandardScaler(),\n",
-       " 'u_wind_9': StandardScaler(),\n",
-       " 'u_wind_10': StandardScaler(),\n",
-       " 'u_wind_11': StandardScaler(),\n",
-       " 'u_wind_12': StandardScaler(),\n",
-       " 'u_wind_13': StandardScaler(),\n",
-       " 'u_wind_14': StandardScaler(),\n",
-       " 'u_wind_15': StandardScaler(),\n",
-       " 'u_wind_16': StandardScaler(),\n",
-       " 'u_wind_17': StandardScaler(),\n",
-       " 'u_wind_18': StandardScaler(),\n",
-       " 'u_wind_19': StandardScaler(),\n",
-       " 'u_wind_20': StandardScaler(),\n",
-       " 'u_wind_21': StandardScaler(),\n",
-       " 'u_wind_22': StandardScaler(),\n",
-       " 'v_wind_1': StandardScaler(),\n",
-       " 'v_wind_2': StandardScaler(),\n",
-       " 'v_wind_3': StandardScaler(),\n",
-       " 'v_wind_4': StandardScaler(),\n",
-       " 'v_wind_5': StandardScaler(),\n",
-       " 'v_wind_6': StandardScaler(),\n",
-       " 'v_wind_7': StandardScaler(),\n",
-       " 'v_wind_8': StandardScaler(),\n",
-       " 'v_wind_9': StandardScaler(),\n",
-       " 'v_wind_10': StandardScaler(),\n",
-       " 'v_wind_11': StandardScaler(),\n",
-       " 'v_wind_12': StandardScaler(),\n",
-       " 'v_wind_13': StandardScaler(),\n",
-       " 'v_wind_14': StandardScaler(),\n",
-       " 'v_wind_15': StandardScaler(),\n",
-       " 'v_wind_16': StandardScaler(),\n",
-       " 'v_wind_17': StandardScaler(),\n",
-       " 'v_wind_18': StandardScaler(),\n",
-       " 'v_wind_19': StandardScaler(),\n",
-       " 'v_wind_20': StandardScaler(),\n",
-       " 'v_wind_21': StandardScaler(),\n",
-       " 'v_wind_22': StandardScaler()}"
-      ]
-     },
-     "execution_count": 77,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
    "source": [
-    "preproc_dict"
+    "### Rotors - Baseline feed-forward neural network\n",
+    "Here we produce our train and test sets ready for use with our feed forward neural networks, which we will create for comparison."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 78,
+   "execution_count": 67,
    "id": "8bb9d77f-3e82-4e58-b5f5-0009003fb881",
    "metadata": {},
    "outputs": [
@@ -2790,6 +2752,14 @@
     "batch_size=100"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "e5b99e7b-ab60-4fbc-9d79-4f5e08bbe581",
+   "metadata": {},
+   "source": [
+    "Next we construct a basic feed forward network with 4 layers and a softmax ooutput to produce a classification."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 70,
@@ -2829,8 +2799,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 1min 40s, sys: 5.53 s, total: 1min 46s\n",
-      "Wall time: 42 s\n"
+      "CPU times: user 1min 36s, sys: 8.24 s, total: 1min 45s\n",
+      "Wall time: 28.8 s\n"
      ]
     }
    ],
@@ -2852,7 +2822,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 118,
+   "execution_count": 73,
+   "id": "7311cf30-2fdb-4919-9a4a-ebd81ee4f26e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#TODO make some predictions\n",
+    "\n",
+    "#TODO:  calculate metrics\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "00d57f08-bee0-4b1f-8621-1184deff8de4",
+   "metadata": {},
+   "source": [
+    "### Building a recuurent neural network\n",
+    "Next we are going to create the part of or pipeline specific to our LSTM.\n",
+    "* First we do some additional data preparation that is specific to this sort of problem. This is because we need to present sequences of data points rather than one data point at a time. We will reshape our data into a three dimensional array, with dimensions `[number of sequences, sequence length, number of features]`.\n",
+    "* Then we will build the architecture for the recurrent nerual network. In this case are going to 4 LSTM layers (same number of layers as the FFNN), with a final softmax activation as before to get a classification output.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 74,
    "id": "aa060429-702f-4ed1-a6c3-24c2eaeb9e95",
    "metadata": {},
    "outputs": [],
@@ -2865,7 +2859,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 119,
+   "execution_count": 75,
    "id": "7424ee3d-258f-4407-8854-45cbdfa0f975",
    "metadata": {},
    "outputs": [],
@@ -2877,7 +2871,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 76,
    "id": "a4d2a886-c680-4658-853d-c347a4019ccb",
    "metadata": {},
    "outputs": [],
@@ -2889,7 +2883,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 77,
    "id": "eb768487-8554-4781-90ee-e061bbd5067a",
    "metadata": {},
    "outputs": [],
@@ -2903,7 +2897,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
+   "execution_count": 78,
    "id": "849fef3d-6865-4727-a0dc-a7cd8a97b41a",
    "metadata": {},
    "outputs": [],
@@ -2917,7 +2911,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 161,
+   "execution_count": 79,
    "id": "0bc6c527-fbf5-411f-a81b-ee170251c87f",
    "metadata": {},
    "outputs": [],
@@ -2943,7 +2937,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 162,
+   "execution_count": 80,
    "id": "e4a81caf-830e-407e-92aa-60cb1e19be61",
    "metadata": {},
    "outputs": [
@@ -2951,8 +2945,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 22.8 ms, sys: 2.05 ms, total: 24.8 ms\n",
-      "Wall time: 23.2 ms\n"
+      "CPU times: user 15.2 ms, sys: 102 µs, total: 15.3 ms\n",
+      "Wall time: 14.6 ms\n"
      ]
     }
    ],
@@ -2963,7 +2957,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 163,
+   "execution_count": 81,
    "id": "75f9bb30-1d56-4881-ab2a-8bf715f9a613",
    "metadata": {},
    "outputs": [],
@@ -2976,7 +2970,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 164,
+   "execution_count": 82,
    "id": "89b73901-db21-4e1d-aaec-8bcdd4ecabaa",
    "metadata": {},
    "outputs": [
@@ -2985,13 +2979,13 @@
      "output_type": "stream",
      "text": [
       "Epoch 1/3\n",
-      "146/146 [==============================] - 15s 58ms/step - loss: 0.6519 - val_loss: 0.5798\n",
+      "146/146 [==============================] - 11s 40ms/step - loss: 0.6369 - val_loss: 0.5538\n",
       "Epoch 2/3\n",
-      "146/146 [==============================] - 7s 50ms/step - loss: 0.4152 - val_loss: 0.3550\n",
+      "146/146 [==============================] - 5s 31ms/step - loss: 0.3962 - val_loss: 0.3463\n",
       "Epoch 3/3\n",
-      "146/146 [==============================] - 7s 50ms/step - loss: 0.2584 - val_loss: 0.2891\n",
-      "CPU times: user 1min 14s, sys: 2.19 s, total: 1min 16s\n",
-      "Wall time: 29.7 s\n"
+      "146/146 [==============================] - 5s 32ms/step - loss: 0.2532 - val_loss: 0.2852\n",
+      "CPU times: user 1min 10s, sys: 3.21 s, total: 1min 14s\n",
+      "Wall time: 20.6 s\n"
      ]
     }
    ],
@@ -3010,17 +3004,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 165,
+   "execution_count": 83,
    "id": "9ec9b19e-d40d-46df-b267-567ce97e7b18",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "<keras.callbacks.History at 0x2b8e7ba51dc0>"
+       "<keras.callbacks.History at 0x2abd64e4de20>"
       ]
      },
-     "execution_count": 165,
+     "execution_count": 83,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3031,7 +3025,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 166,
+   "execution_count": 84,
    "id": "f8b72c62-4ea5-4f10-b80b-cc23fb0fd02b",
    "metadata": {},
    "outputs": [],
@@ -3041,17 +3035,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 167,
+   "execution_count": 85,
    "id": "556627fa-b34e-43e8-bbce-313c3d0e2256",
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "(9.793126e-07, 0.93716824)"
+       "(4.8201457e-07, 0.9050097)"
       ]
      },
-     "execution_count": 167,
+     "execution_count": 85,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -3062,24 +3056,170 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d32d8f31-1bce-4f9a-a653-51c9c10fa7a4",
+   "id": "f767ded6-0fcc-48e8-9812-ab725edfb1b9",
    "metadata": {},
    "source": [
-    "## Tutorial - Metrics\n",
-    "\n",
-    "\n",
-    "Description of metrics\n",
-    "* classification metrics\n",
-    "* regression metrics"
+    "### Comparing peformance for feed-forward and recurrent architectures\n",
+    "Ultimately we need to see whether the extra expense of the recurrent NN (there are approximately 4 times as many parameters to train compared to the FFNN) is worth it in terms of improved classification accuracy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 86,
+   "id": "3e975ca5-5829-4ce6-8c1f-963d4abab3cb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 1.31 s, sys: 116 ms, total: 1.42 s\n",
+      "Wall time: 647 ms\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "y_pred_rotors = {\n",
+    "     'train_ffnn': rotors_ff_model.predict(X_train_rotors).argmax(axis=1),\n",
+    "     'test_ffnn': rotors_ff_model.predict(X_test_rotors).argmax(axis=1),\n",
+    " }\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "id": "bc33cd36-300f-4410-b3e1-9d638e391318",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "CPU times: user 18.1 s, sys: 963 ms, total: 19.1 s\n",
+      "Wall time: 5.06 s\n"
+     ]
+    }
+   ],
+   "source": [
+    "%%time\n",
+    "y_pred_rotors['test_lstm'] = rotors_rnn_model.predict(X_train_seq).argmax(axis=1)\n",
+    "y_pred_rotors['train_lstm'] = rotors_rnn_model.predict(X_train_seq).argmax(axis=1)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b36e66af-a89f-4c06-9b90-6adeb7511382",
+   "metadata": {},
+   "source": [
+    "We can see that inference and training takes longer for an LSTM"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 88,
+   "id": "cf6fe0b7-2137-43f4-af96-43275a915051",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(array([0.84381139, 0.1125    ]),\n",
+       " array([0.97692933, 0.01591512]),\n",
+       " array([0.9055041 , 0.02788536]),\n",
+       " array([12310,  2262]))"
+      ]
+     },
+     "execution_count": 88,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sklearn.metrics.precision_recall_fscore_support(y_pred_rotors['train_ffnn'], y_train_rotors)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 89,
+   "id": "ceccbfd4-24c7-4a82-be83-f2dc39cf08d8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "y_truth_rotors = {\n",
+    "    'train_ffnn': y_train_rotors,\n",
+    "    'train_lstm': y_train_seq,\n",
+    "    'test_ffnn': y_test_rotors,\n",
+    "    'test_lstm': y_test_seq, \n",
+    "}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "id": "732a1252-4290-4177-8c3f-8bfcafdd3bd1",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "ValueError",
+     "evalue": "Classification metrics can't handle a mix of multiclass-multioutput and unknown targets",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
+      "Input \u001b[0;32mIn [90]\u001b[0m, in \u001b[0;36m<cell line: 2>\u001b[0;34m()\u001b[0m\n\u001b[1;32m     10\u001b[0m md1[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mclassifier\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [clf_name]\n\u001b[1;32m     11\u001b[0m key1 \u001b[38;5;241m=\u001b[39m \u001b[38;5;124mf\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mt1\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m_\u001b[39m\u001b[38;5;132;01m{\u001b[39;00mclf_name\u001b[38;5;132;01m}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\n\u001b[0;32m---> 12\u001b[0m prec, recall, f1, support \u001b[38;5;241m=\u001b[39m \u001b[43msklearn\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mmetrics\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mprecision_recall_fscore_support\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_pred_rotors\u001b[49m\u001b[43m[\u001b[49m\u001b[43mkey1\u001b[49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_truth_rotors\u001b[49m\u001b[43m[\u001b[49m\u001b[43mkey1\u001b[49m\u001b[43m]\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     13\u001b[0m md1[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprecision_noRotor\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [prec[\u001b[38;5;241m0\u001b[39m]]\n\u001b[1;32m     14\u001b[0m md1[\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mprecision_rotor\u001b[39m\u001b[38;5;124m'\u001b[39m] \u001b[38;5;241m+\u001b[39m\u001b[38;5;241m=\u001b[39m [prec[\u001b[38;5;241m1\u001b[39m]]\n",
+      "File \u001b[0;32m~/.conda/envs/ml-weather-tutorial-tf/lib/python3.8/site-packages/sklearn/utils/validation.py:63\u001b[0m, in \u001b[0;36m_deprecate_positional_args.<locals>._inner_deprecate_positional_args.<locals>.inner_f\u001b[0;34m(*args, **kwargs)\u001b[0m\n\u001b[1;32m     61\u001b[0m extra_args \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mlen\u001b[39m(args) \u001b[38;5;241m-\u001b[39m \u001b[38;5;28mlen\u001b[39m(all_args)\n\u001b[1;32m     62\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m extra_args \u001b[38;5;241m<\u001b[39m\u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m---> 63\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[43mf\u001b[49m\u001b[43m(\u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43margs\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[38;5;241;43m*\u001b[39;49m\u001b[43mkwargs\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     65\u001b[0m \u001b[38;5;66;03m# extra_args > 0\u001b[39;00m\n\u001b[1;32m     66\u001b[0m args_msg \u001b[38;5;241m=\u001b[39m [\u001b[38;5;124m'\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m=\u001b[39m\u001b[38;5;132;01m{}\u001b[39;00m\u001b[38;5;124m'\u001b[39m\u001b[38;5;241m.\u001b[39mformat(name, arg)\n\u001b[1;32m     67\u001b[0m             \u001b[38;5;28;01mfor\u001b[39;00m name, arg \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mzip\u001b[39m(kwonly_args[:extra_args],\n\u001b[1;32m     68\u001b[0m                                  args[\u001b[38;5;241m-\u001b[39mextra_args:])]\n",
+      "File \u001b[0;32m~/.conda/envs/ml-weather-tutorial-tf/lib/python3.8/site-packages/sklearn/metrics/_classification.py:1464\u001b[0m, in \u001b[0;36mprecision_recall_fscore_support\u001b[0;34m(y_true, y_pred, beta, labels, pos_label, average, warn_for, sample_weight, zero_division)\u001b[0m\n\u001b[1;32m   1462\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m beta \u001b[38;5;241m<\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[1;32m   1463\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mbeta should be >=0 in the F-beta score\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m-> 1464\u001b[0m labels \u001b[38;5;241m=\u001b[39m \u001b[43m_check_set_wise_labels\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_true\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_pred\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43maverage\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mlabels\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m   1465\u001b[0m \u001b[43m                                \u001b[49m\u001b[43mpos_label\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1467\u001b[0m \u001b[38;5;66;03m# Calculate tp_sum, pred_sum, true_sum ###\u001b[39;00m\n\u001b[1;32m   1468\u001b[0m samplewise \u001b[38;5;241m=\u001b[39m average \u001b[38;5;241m==\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124msamples\u001b[39m\u001b[38;5;124m'\u001b[39m\n",
+      "File \u001b[0;32m~/.conda/envs/ml-weather-tutorial-tf/lib/python3.8/site-packages/sklearn/metrics/_classification.py:1277\u001b[0m, in \u001b[0;36m_check_set_wise_labels\u001b[0;34m(y_true, y_pred, average, labels, pos_label)\u001b[0m\n\u001b[1;32m   1273\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m average \u001b[38;5;129;01mnot\u001b[39;00m \u001b[38;5;129;01min\u001b[39;00m average_options \u001b[38;5;129;01mand\u001b[39;00m average \u001b[38;5;241m!=\u001b[39m \u001b[38;5;124m'\u001b[39m\u001b[38;5;124mbinary\u001b[39m\u001b[38;5;124m'\u001b[39m:\n\u001b[1;32m   1274\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124maverage has to be one of \u001b[39m\u001b[38;5;124m'\u001b[39m \u001b[38;5;241m+\u001b[39m\n\u001b[1;32m   1275\u001b[0m                      \u001b[38;5;28mstr\u001b[39m(average_options))\n\u001b[0;32m-> 1277\u001b[0m y_type, y_true, y_pred \u001b[38;5;241m=\u001b[39m \u001b[43m_check_targets\u001b[49m\u001b[43m(\u001b[49m\u001b[43my_true\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_pred\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m   1278\u001b[0m \u001b[38;5;66;03m# Convert to Python primitive type to avoid NumPy type / Python str\u001b[39;00m\n\u001b[1;32m   1279\u001b[0m \u001b[38;5;66;03m# comparison. See https://github.com/numpy/numpy/issues/6784\u001b[39;00m\n\u001b[1;32m   1280\u001b[0m present_labels \u001b[38;5;241m=\u001b[39m unique_labels(y_true, y_pred)\u001b[38;5;241m.\u001b[39mtolist()\n",
+      "File \u001b[0;32m~/.conda/envs/ml-weather-tutorial-tf/lib/python3.8/site-packages/sklearn/metrics/_classification.py:92\u001b[0m, in \u001b[0;36m_check_targets\u001b[0;34m(y_true, y_pred)\u001b[0m\n\u001b[1;32m     89\u001b[0m     y_type \u001b[38;5;241m=\u001b[39m {\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mmulticlass\u001b[39m\u001b[38;5;124m\"\u001b[39m}\n\u001b[1;32m     91\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m \u001b[38;5;28mlen\u001b[39m(y_type) \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m---> 92\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mValueError\u001b[39;00m(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mClassification metrics can\u001b[39m\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mt handle a mix of \u001b[39m\u001b[38;5;132;01m{0}\u001b[39;00m\u001b[38;5;124m \u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m     93\u001b[0m                      \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mand \u001b[39m\u001b[38;5;132;01m{1}\u001b[39;00m\u001b[38;5;124m targets\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;241m.\u001b[39mformat(type_true, type_pred))\n\u001b[1;32m     95\u001b[0m \u001b[38;5;66;03m# We can't have more than one value on y_type => The set is no more needed\u001b[39;00m\n\u001b[1;32m     96\u001b[0m y_type \u001b[38;5;241m=\u001b[39m y_type\u001b[38;5;241m.\u001b[39mpop()\n",
+      "\u001b[0;31mValueError\u001b[0m: Classification metrics can't handle a mix of multiclass-multioutput and unknown targets"
+     ]
+    }
+   ],
+   "source": [
+    "metrics_rotors = []\n",
+    "for t1 in ['train','test']:\n",
+    "    md1 = {'classifier': [],\n",
+    "           'precision_noRotor': [], 'precision_rotor': [],\n",
+    "           'recall_noRotor': [], 'recall_rotor': [], \n",
+    "           'f1_noRotor': [], 'f1_rotor': [], \n",
+    "           'hit_rate': [], 'false_alarm_rate': []\n",
+    "          }\n",
+    "    for clf_name in ['ffnn','lstm']:\n",
+    "        md1['classifier'] += [clf_name]\n",
+    "        key1 = f'{t1}_{clf_name}'\n",
+    "        prec, recall, f1, support = sklearn.metrics.precision_recall_fscore_support(y_pred_rotors[key1], y_truth_rotors[key1])\n",
+    "        md1['precision_noRotor'] += [prec[0]]\n",
+    "        md1['precision_rotor'] += [prec[1]]\n",
+    "        md1['recall_noRotor'] += [recall[0]]\n",
+    "        md1['recall_rotor'] += [recall[1]]\n",
+    "        md1['f1_noRotor'] += [f1[0]]\n",
+    "        md1['f1_rotor'] += [f1[1]]\n",
+    "        cm1 = sklearn.metrics.confusion_matrix(y_pred_rotors[key1], y_truth_rotors[key1])\n",
+    "        hit_rate = cm1[1,1] / (cm1[1,1]+cm1[1,0])\n",
+    "        md1['hit_rate'] += [hit_rate]\n",
+    "        false_alarm_rate = cm1[0,1] / (cm1[0,1]+cm1[0,0])\n",
+    "        md1['false_alarm_rate'] += [false_alarm_rate]\n",
+    "    metrics_rotors += [md1]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "31591d31-d797-480f-8472-888bb6a93b62",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "train_metrics_rotors_df = pandas.DataFrame(metrics1[0])\n",
+    "test_metrics_rotors_df = pandas.DataFrame(metrics1[1])"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "ec4d843f-d6c6-4089-9207-826814820407",
+   "id": "f73522d3-7bb6-4dfe-916a-1ca794e41a2c",
    "metadata": {},
    "source": [
-    "## Exercise - Metrics\n",
-    "xx\n"
+    "Extension execises"
    ]
   },
   {
diff --git a/04_improving_performance.ipynb b/04_improving_performance.ipynb
index ed38e84..1709e45 100644
--- a/04_improving_performance.ipynb
+++ b/04_improving_performance.ipynb
@@ -46,32 +46,29 @@
    "source": [
     "## Tutorial - Improving ML performance\n",
     "\n",
-    "So far in this series of notebooks, we have started by exploring a dataset we want to use with machine learning to tackle a particular problem, so that we understand the requirements and challenges of working with particular datasets. We have then made use of that knowledge to build a machine learning pipeline to tackle the problem. As a complement to the first notebook which seeks to understand the data, the third notebook looks at some of the details of how the algorithms work to help make appropriate choices for the components and hyperparameters of our machine learning pipeline. In this last notebook we will look at some techniques for making use of the knowledge of how the machine learning pipeline fits together to improve the performance of that pipeline for our problem of interest. We will look at three areas:\n",
+    "So far in this series of notebooks, we have started by exploring a dataset we want to use with machine learning to tackle a particular problem, so that we understand the requirements and challenges of working with particular datasets. We have then made use of that knowledge to build a machine learning pipeline to tackle the problem. As a complement to the first notebook which seeks to understand the data, the third notebook looks at some of the details of how the algorithms work to help make appropriate choices for the components and hyperparameters of our machine learning pipeline. In this last notebook we will look at some techniques for making use of the knowledge of how the machine learning pipeline fits together to improve the performance of that pipeline for our problem of interest. We will look at these areas:\n",
+    "* cross-validation\n",
     "* hyperparameter tuning\n",
     "* resampling data to tackle the imbalanced class problem\n",
     "* machine learning interpretability and explainability\n",
     "\n",
     "\n",
-    "**TODO: explain cross validation**\n",
-    "### Hyperparameter tuning\n",
+    "### Cross-validation\n",
     "\n",
+    "Before we train our machine learning algrotihm, we split our data into train and test subsets so we can evaluate the performance of the algorithm with data that has not been used to train the algorithm. There is an assumption that the particular split doesn't matter, but this is not always the case, especially where we are not familiar with the dataset that we are using and are less able to evaluate whether a split is suitable or not. What can happen is that a particular split may result in especially good or especially bad results, and generalise poorly to the test and validation sets if rare cases are not present in the training set. One way to get around this is to try multiple different splits and check whether results differ greatly between different splits. This is called cross validation. The way this is done is that after separating out your test set, the remaining data is then split again into train and validate sets. Typically this is done by dividing the data into n *folds* (by whatever means was used for splitting e.g. random, divide by time etc.). The you produced n different train/validate splits, each each using the members of one fold as the validation set and the rest as the training set. \n",
     "\n",
     "\n",
-    "Feature Importance\n",
+    "### Hyperparameter tuning\n",
     "\n",
-    "Keeping track of results - ML Flow \n",
-    "Notebook 4 - improving results\n",
+    "As we were setting up our machine learning  pipeline in notebook 2, in the step where were initalising and setting up the ML algorithm before training, we had to set a number of *hyperparameters* for each algorithm. For example we had to set the maximum depth for a decision tree, the number of estimators (i.e. the number of decision trees) in the random forest, and the number of layers and nodes in each layer for a neural network. These were just set to a particular value that are known to be reasonable for that problem. In general when we start a new problem, we can't be so sure we know what is a reasonable value for those hyperparameters.One may have some inituition to guide the choice based on similarity to other problems, but in general one needs to tweak these and do some trial and error experimentation find the values that give the best performance for a particular problem. This process is known as *hyperparameter tuning*. Each run with a different set of hyperparameters is called a *trial*.\n",
     "\n",
-    "Hyperparameters tuning\n",
-    "Making better use of your data\n",
-    "Explainability and interpretability\n",
+    "In general there is no good systematic way to determine the best hyperparameters. Typically, one needs to train the algorithm a lot of times with different hyperparameters to find the best combination for your problem. Unfortunately the results tend to be quite non-linear, limiting the ability to performa a systematic iterative optimisation. The two most comment methods are\n",
+    "* *grid search* - Grid a grid of regularly space value in the hyperparameter space, train an algorithm with each of the combinations on the grid and select the combination that gives the best results.\n",
+    "* *random search* - Specify a distribution for each of the hyperparameters, get n random samples from the distributions, train an algorithm with each and select the hyperparameter combination that gives the best result.\n",
     "\n",
-    "Next steps \n",
-    "Data duration and cataloging \n",
-    "Scaling\n",
-    "Experiment tracking\n",
-    "Saving models\n",
-    "\n"
+    "There are other methods that try to be smarter about selecting based on previous results, and also more exotic method like genetic algorithms. For most problems grid or random search is sufficient. Grid is more comprehensive but costly, so random is often used.\n",
+    "\n",
+    "The process of training an algorothm many times is of course very costly, but also very easy to run multiple trials in parallel. See the notes at the bottom of the notebook for more information about tools to help scale up hyperparameter tuning."
    ]
   },
   {
@@ -80,7 +77,11 @@
    "metadata": {},
    "source": [
     "### Key Terms\n",
-    "* xxx"
+    "* cross validation\n",
+    "* hyperparameter tuning\n",
+    "* explainable AI\n",
+    "* feature importance\n",
+    "* resampling - "
    ]
   },
   {
@@ -240,8 +241,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 16.5 s, sys: 1.72 s, total: 18.3 s\n",
-      "Wall time: 18.3 s\n"
+      "CPU times: user 16.1 s, sys: 2.06 s, total: 18.2 s\n",
+      "Wall time: 18.1 s\n"
      ]
     }
    ],
@@ -410,6 +411,22 @@
     "           }\n"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "9b28a6cc-fbe2-4433-8a2a-820a9033aa71",
+   "metadata": {},
+   "source": [
+    "Here we come to the opart that is different. We will do hyperparameter tuning and corss-validation to robustly find the best hyper parameters for this problem. We will do multiple trials with each combination of hyperparameters, and for each combination we will do a cross validation. The steps for setting up our hyperparametr tuning with cross validation are as follows:\n",
+    "* First we create an instance of the classifier for which we want to tune the hyperparameters.\n",
+    "* Then we instatiate an object to handdle the cross-validation. This will split the data into folds. This has 2 parameters:\n",
+    "  * `n_splits` - The number of folds.\n",
+    "  * `shuffle` - whether to randomly mix up the data before dividing into folds. If this is false, then the data will be split in its current order.\n",
+    "* Then we create an object to do a grid search hyperparameter tuning. We pass three items:\n",
+    " * `estimator` - The classifier to tune. This currently has default hyperparameter values, which will be set differently for each trial.\n",
+    " * `param_grid` - The grid of hyperparameter value to try. The values for each hyperparameter value is specified separately as a list, and all possible combination are tried. So if we specify n options for hyperparameter 1, and m for hyperparameter 2, there will be `n*m` trials.\n",
+    " * `cv` - The cross validation handler which we created. For each trial we will do a spearate cross-validation."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 18,
@@ -420,8 +437,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 2min 39s, sys: 16.9 ms, total: 2min 39s\n",
-      "Wall time: 2min 39s\n"
+      "CPU times: user 2min 34s, sys: 24.6 ms, total: 2min 34s\n",
+      "Wall time: 2min 34s\n"
      ]
     }
    ],
@@ -488,6 +505,14 @@
     "import scipy.stats"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "7ab2f88d-afdf-49e1-b4c9-67cbe916949b",
+   "metadata": {},
+   "source": [
+    "Here we demomstrate the other common way of doing hyperparameter tuning, random search. Insteam of specifying a list of choices for each hyperparameter, we specify a distribution to sample. The algorithm will sample each distributionfor each trial. We specify how many trials to run with the argument `n_iter`. Here are using hyuperparameters with integer values so we arejust randmly selecting with equal chance. Other rhyperparameters have real values. We may want to use different distributions for these, such as uniform or normal distributions, or more specific distributions if we know more about what sot ofvalues a hyperparameter should take on. It easy to select any distribution that scipy makes available."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 22,
@@ -498,8 +523,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 1min 1s, sys: 6.96 ms, total: 1min 1s\n",
-      "Wall time: 1min 1s\n"
+      "CPU times: user 1min 5s, sys: 5.65 ms, total: 1min 5s\n",
+      "Wall time: 1min 5s\n"
      ]
     }
    ],
@@ -517,6 +542,14 @@
     "res1 = hpt_random.fit(X_train_rotors, y_train_rotors)  "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "46b16722-7bdf-4261-9583-d42ce9076f2e",
+   "metadata": {},
+   "source": [
+    "Once we have done the tuning, we can then select the c9ombination of values that results in the best estimator to use from now on for our problem. "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 23,
@@ -526,7 +559,7 @@
     {
      "data": {
       "text/plain": [
-       "DecisionTreeClassifier(max_depth=5, min_samples_leaf=6, min_samples_split=7)"
+       "DecisionTreeClassifier(max_depth=5, min_samples_leaf=3, min_samples_split=10)"
       ]
      },
      "execution_count": 23,
@@ -555,8 +588,8 @@
        " 'max_leaf_nodes': None,\n",
        " 'min_impurity_decrease': 0.0,\n",
        " 'min_impurity_split': None,\n",
-       " 'min_samples_leaf': 6,\n",
-       " 'min_samples_split': 7,\n",
+       " 'min_samples_leaf': 3,\n",
+       " 'min_samples_split': 10,\n",
        " 'min_weight_fraction_leaf': 0.0,\n",
        " 'random_state': None,\n",
        " 'splitter': 'best'}"
@@ -580,9 +613,9 @@
     {
      "data": {
       "text/plain": [
-       "(array([0.95568533, 0.        ]),\n",
-       " array([0.99928161, 0.        ]),\n",
-       " array([0.97699737, 0.        ]),\n",
+       "(array([0.95570055, 0.        ]),\n",
+       " array([0.9996408, 0.       ]),\n",
+       " array([0.97717697, 0.        ]),\n",
        " array([2784,  129]))"
       ]
      },
@@ -598,6 +631,14 @@
     ")"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "784b0f18-b277-43db-9e8b-d519f3ff5406",
+   "metadata": {},
+   "source": [
+    "Depending on what is most important for our problem, we may want to use different metrics to select the best classifier. Here we demonstrate using balanced accuracy versus recall, which may result in a different choice of hyperparameters."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 26,
@@ -635,8 +676,8 @@
        " 'max_leaf_nodes': None,\n",
        " 'min_impurity_decrease': 0.0,\n",
        " 'min_impurity_split': None,\n",
-       " 'min_samples_leaf': 3,\n",
-       " 'min_samples_split': 9,\n",
+       " 'min_samples_leaf': 2,\n",
+       " 'min_samples_split': 10,\n",
        " 'min_weight_fraction_leaf': 0.0,\n",
        " 'random_state': None,\n",
        " 'splitter': 'best'}"
@@ -660,9 +701,9 @@
     {
      "data": {
       "text/plain": [
-       "(array([0.95870923, 0.32258065]),\n",
-       " array([0.9924569 , 0.07751938]),\n",
-       " array([0.97529121, 0.125     ]),\n",
+       "(array([0.95902778, 0.33333333]),\n",
+       " array([0.9920977 , 0.08527132]),\n",
+       " array([0.97528249, 0.13580247]),\n",
        " array([2784,  129]))"
       ]
      },
@@ -715,8 +756,8 @@
        " 'max_leaf_nodes': None,\n",
        " 'min_impurity_decrease': 0.0,\n",
        " 'min_impurity_split': None,\n",
-       " 'min_samples_leaf': 5,\n",
-       " 'min_samples_split': 10,\n",
+       " 'min_samples_leaf': 3,\n",
+       " 'min_samples_split': 16,\n",
        " 'min_weight_fraction_leaf': 0.0,\n",
        " 'random_state': None,\n",
        " 'splitter': 'best'}"
@@ -740,9 +781,9 @@
     {
      "data": {
       "text/plain": [
-       "(array([0.95878074, 0.38461538]),\n",
-       " array([0.99425287, 0.07751938]),\n",
-       " array([0.97619467, 0.12903226]),\n",
+       "(array([0.95940319, 0.38709677]),\n",
+       " array([0.99317529, 0.09302326]),\n",
+       " array([0.97599718, 0.15      ]),\n",
        " array([2784,  129]))"
       ]
      },
@@ -765,7 +806,28 @@
     "tags": []
    },
    "source": [
-    "## Example - resampling data for imbalanced classes"
+    "## Making the most of the data\n",
+    "\n",
+    "In general, one of the best way to improve the performance of your machine learning algorithm is to improve the quality of your training data. YYou can do this by\n",
+    "* gathering more data,, especially for exmaples or classes that are poorly represented\n",
+    "* removing bad or unrepresentative data\n",
+    "* add features that improve descriptive power of your feature vector\n",
+    "\n",
+    "All of these steps can be expensive, so sometime we just need to do as much as we can with the data that we have. In particular fr the first problem of under represented classes known as the class imbalance problem, we can resample the data to create a dataset that appears balanced. Although this might seem like it doesn't achieve anything, it cvan be very helpful. Usually this is a combination of the following tasks:\n",
+    "* undersampling - take a subset of classes that are most common or over represented\n",
+    "* oversampling - taking repeat samples of underpresented classes\n",
+    "* synthetic samples - If you know enough about the data that you can create a distribution from which to create synthetic samples, this another option for oversampling.\n",
+    "\n",
+    "The state of the art for resampling uses a combination of these, such as  Synthetic Minority Oversampling TEchnique (SMOTE).\n",
+    "\n",
+    "Further reading: \n",
+    "* [Under and over sampling](https://en.wikipedia.org/wiki/Oversampling_and_undersampling_in_data_analysis)\n",
+    "* [More information on SMOTE](https://machinelearningmastery.com/smote-oversampling-for-imbalanced-classification/)\n",
+    "* [Imbalanced learn](https://imbalanced-learn.org/stable/)\n",
+    "* [Video introducing data-centric AI](https://www.youtube.com/watch?v=06-AZXmwHjo)\n",
+    "* [Article on data-centric AI](https://datacentricai.org/)\n",
+    "\n",
+    "### Example - resampling data for imbalanced classes"
    ]
   },
   {
@@ -909,8 +971,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 30.7 s, sys: 8 ms, total: 30.7 s\n",
-      "Wall time: 30.7 s\n"
+      "CPU times: user 29.1 s, sys: 2.98 ms, total: 29.1 s\n",
+      "Wall time: 29.1 s\n"
      ]
     }
    ],
@@ -946,8 +1008,8 @@
        " 'max_leaf_nodes': None,\n",
        " 'min_impurity_decrease': 0.0,\n",
        " 'min_impurity_split': None,\n",
-       " 'min_samples_leaf': 4,\n",
-       " 'min_samples_split': 9,\n",
+       " 'min_samples_leaf': 1,\n",
+       " 'min_samples_split': 6,\n",
        " 'min_weight_fraction_leaf': 0.0,\n",
        " 'random_state': None,\n",
        " 'splitter': 'best'}"
@@ -971,9 +1033,9 @@
     {
      "data": {
       "text/plain": [
-       "(array([0.98241407, 0.20681265]),\n",
-       " array([0.8829023 , 0.65891473]),\n",
-       " array([0.93000378, 0.31481481]),\n",
+       "(array([0.9835803 , 0.21153846]),\n",
+       " array([0.88218391, 0.68217054]),\n",
+       " array([0.93012687, 0.32293578]),\n",
        " array([2784,  129]))"
       ]
      },
@@ -994,7 +1056,29 @@
    "id": "8eeb626a-75f4-4d14-bb2e-df70c0853ca5",
    "metadata": {},
    "source": [
-    "## Example - Feature Importance"
+    "## Explainable AI (XAI)\n",
+    "\n",
+    "Data-driven techniques are often presented, and have often been used, as black box techniques. That is, we throw the data an algorithm, and gives us some answers but we dont't understand how or why it gives us those answers. This has already caused many problems in the real world where algorithms have been used in places that affect people lives , for example in the justice system or approving bank loans, where people have been negatively affected and there has been no recourse to challenge the decision of an algorithm. In many ways this is the fault of the overall human system and how it uses machine learning, rather than the algorithm itself, but it highlights the importance of building intrust in the results produced by an ML algorithm. One way to do this i9s to bea able to explain how a result was made and interpret what the real world impact of such a result will be and if that makes sense. The field of explaining and interpreting ML results,rather than just usuing ML as a black box, is called *Explainable AI* or *XAI*.\n",
+    "\n",
+    "Common methods for XAI include\n",
+    "* [permutation feature importance](https://scikit-learn.org/stable/modules/permutation_importance.html) - Thye input values are swapped around. If the features are important, this should result in a degradation of performance metrics. The greater the degradation (relative to other features), the more important a particular feature is.\n",
+    "* [SHAP value](https://shap.readthedocs.io/en/latest/index.html)\n",
+    "* [Saliency maps]() - originally a technique from the study of vision to show which areas of an image a persons eyes focus on, here we it refers to a visualisation of which  different neruons in a neural network are activated for a given input.\n",
+    "* [LIME](https://christophm.github.io/interpretable-ml-book/lime.html) - creating mutliple locally-accurate linear approximations of a complex ML model to explain its performance for specific ranges of input values.\n",
+    "\n",
+    "Furtherreading and tools\n",
+    "* [Interpretable Machine Learning by Christopher Molnar](https://christophm.github.io/interpretable-ml-book/)\n",
+    "* [Introduction to XAI](https://www.mobiquity.com/insights/an-introduction-to-explainable-artifical-intelligence)\n",
+    "* [What is XAI?](https://towardsdatascience.com/what-is-explainable-ai-xai-afc56938d513)\n",
+    "* [OmniXAI](https://github.com/salesforce/OmniXAI)\n",
+    "\n",
+    "### Example - Feature Importance\n",
+    "\n",
+    "Here are are going to investigate which input features are most important for our rotors classifier using the permutation feature importance method.\n",
+    "\n",
+    "Docs\n",
+    "* [Algorithm explanation](https://scikit-learn.org/stable/modules/permutation_importance.html)\n",
+    "* [API doc](https://scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html)\n"
    ]
   },
   {
@@ -1017,8 +1101,8 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "CPU times: user 1.78 s, sys: 4.01 ms, total: 1.78 s\n",
-      "Wall time: 1.78 s\n"
+      "CPU times: user 1.87 s, sys: 1.01 ms, total: 1.87 s\n",
+      "Wall time: 1.87 s\n"
      ]
     },
     {
@@ -1062,7 +1146,7 @@
     },
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 720x2160 with 1 Axes>"
       ]
@@ -1080,24 +1164,6 @@
     "}).plot.barh(x='feature',y='importance_mean',figsize=(10,30))"
    ]
   },
-  {
-   "cell_type": "markdown",
-   "id": "f65ef980-9f77-41b4-ba9c-14452cae8f20",
-   "metadata": {},
-   "source": [
-    "### Example - Experiment tracking"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 46,
-   "id": "6db75333-bdc1-4aeb-9a70-bfb3934f57ed",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import mlflow"
-   ]
-  },
   {
    "cell_type": "markdown",
    "id": "a5adcd91-8eee-4ce5-8c65-3a96dec1343d",
@@ -1125,6 +1191,15 @@
     "Experiment Tracking\n",
     "* [ML Flow](https://mlflow.org/)\n",
     "\n",
+    "Further information on getting started with these tools to scale up your machine learning experiments can be found in this tutorial:\n",
+    "* [MLOps for Research Software Engineers - UK RSE Conference 2022](https://github.com/informatics-lab/ukrse_2022_mlops_walkthrough)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "152c20ea-118a-46d9-a52c-f6a3cc72a9af",
+   "metadata": {},
+   "source": [
     "### Further machine learning overview tutorials\n",
     "https://github.com/djgagne/ams-ml-python-course\n",
     "\n",