diff --git a/chapter1.ipynb b/chapter1.ipynb
index 4baa624..df867ee 100644
--- a/chapter1.ipynb
+++ b/chapter1.ipynb
@@ -43,8 +43,8 @@
     "id": "Go4q-dMerC1S",
     "outputId": "aaf07e91-666d-4cf7-9a59-0f0bc785c0e7",
     "ExecuteTime": {
-     "end_time": "2025-06-17T03:28:02.567981Z",
-     "start_time": "2025-06-17T03:28:02.431326Z"
+     "end_time": "2025-06-17T05:10:53.019300Z",
+     "start_time": "2025-06-17T05:10:52.885557Z"
     }
    },
    "id": "Go4q-dMerC1S",
@@ -57,7 +57,7 @@
      ]
     }
    ],
-   "execution_count": 8
+   "execution_count": 1
   },
   {
    "cell_type": "markdown",
@@ -81,8 +81,8 @@
     "id": "JHjBouImqVkd",
     "outputId": "ce2e81ec-e19b-4a02-a119-f5a545580eb3",
     "ExecuteTime": {
-     "end_time": "2025-06-17T03:28:02.726812Z",
-     "start_time": "2025-06-17T03:28:02.589141Z"
+     "end_time": "2025-06-17T05:10:53.271371Z",
+     "start_time": "2025-06-17T05:10:53.140072Z"
     }
    },
    "id": "JHjBouImqVkd",
@@ -96,7 +96,7 @@
      ]
     }
    ],
-   "execution_count": 9
+   "execution_count": 2
   },
   {
    "cell_type": "markdown",
@@ -176,8 +176,8 @@
     "id": "EqTBay0cqkbC",
     "outputId": "01e83e25-ba47-4372-ea5a-2d7054b40114",
     "ExecuteTime": {
-     "end_time": "2025-06-17T03:28:06.901252Z",
-     "start_time": "2025-06-17T03:28:02.737041Z"
+     "end_time": "2025-06-17T05:10:57.165792Z",
+     "start_time": "2025-06-17T05:10:53.281153Z"
     }
    },
    "id": "EqTBay0cqkbC",
@@ -188,26 +188,13 @@
      "text": [
       "Frequent patterns were generated successfully using Apriori algorithm \n",
       "Total number of patterns: 1072\n",
-      "Runtime: 4.130907297134399\n",
-      "Memory (RSS): 79478784\n",
-      "Memory (USS): 63422464\n"
+      "Runtime: 3.5491700172424316\n",
+      "Memory (RSS): 306642944\n",
+      "Memory (USS): 283656192\n"
      ]
     }
    ],
-   "execution_count": 10
-  },
-  {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-06-17T03:28:06.959654Z",
-     "start_time": "2025-06-17T03:28:06.953603Z"
-    }
-   },
-   "cell_type": "code",
-   "source": "from PAMI.frequentPattern.basic import Apriori",
-   "id": "5a6e7dfe5ef51fe2",
-   "outputs": [],
-   "execution_count": 11
+   "execution_count": 3
   },
   {
    "cell_type": "markdown",
@@ -296,8 +283,8 @@
     "id": "xOXi5Juq2vDF",
     "outputId": "4b7a0ef6-c310-4044-b71b-debbc0b465b6",
     "ExecuteTime": {
-     "end_time": "2025-06-17T03:28:17.697391Z",
-     "start_time": "2025-06-17T03:28:06.985601Z"
+     "end_time": "2025-06-17T05:11:25.099010Z",
+     "start_time": "2025-06-17T05:11:14.890395Z"
     }
    },
    "id": "xOXi5Juq2vDF",
@@ -322,16 +309,16 @@
      "data": {
       "text/plain": [
        "  algorithm  minSup  patterns   runtime  memoryRSS  memoryUSS\n",
-       "0   Apriori    1000       385  2.294293  281985024  227950592\n",
-       "1   Apriori    1500       237  1.471497  335609856  274104320\n",
-       "2   Apriori    2000       155  0.897501  308101120  259850240\n",
-       "3   Apriori    2500       107  0.615630  321454080  265535488\n",
-       "4   Apriori    3000        60  0.465261  350437376  274907136\n",
-       "5  FPgrowth    1000       385  1.523555  422543360  366100480\n",
-       "6  FPgrowth    1500       237  1.238279  398819328  327565312\n",
-       "7  FPgrowth    2000       155  0.882168  354041856  276299776\n",
-       "8  FPgrowth    2500       107  0.615134  341590016  263225344\n",
-       "9  FPgrowth    3000        60  0.423950  336396288  258031616"
+       "0   Apriori    1000       385  2.276005  348405760  309149696\n",
+       "1   Apriori    1500       237  1.383953  371392512  294256640\n",
+       "2   Apriori    2000       155  0.918015  386957312  283475968\n",
+       "3   Apriori    2500       107  0.615987  387842048  268615680\n",
+       "4   Apriori    3000        60  0.401719  388546560  267010048\n",
+       "5  FPgrowth    1000       385  1.462936  480149504  357433344\n",
+       "6  FPgrowth    1500       237  1.093970  453607424  337133568\n",
+       "7  FPgrowth    2000       155  0.853848  391905280  268075008\n",
+       "8  FPgrowth    2500       107  0.574951  408928256  284704768\n",
+       "9  FPgrowth    3000        60  0.404577  378519552  254279680"
       ],
       "text/html": [
        "<div>\n",
@@ -366,102 +353,102 @@
        "      <td>Apriori</td>\n",
        "      <td>1000</td>\n",
        "      <td>385</td>\n",
-       "      <td>2.294293</td>\n",
-       "      <td>281985024</td>\n",
-       "      <td>227950592</td>\n",
+       "      <td>2.276005</td>\n",
+       "      <td>348405760</td>\n",
+       "      <td>309149696</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
        "      <td>Apriori</td>\n",
        "      <td>1500</td>\n",
        "      <td>237</td>\n",
-       "      <td>1.471497</td>\n",
-       "      <td>335609856</td>\n",
-       "      <td>274104320</td>\n",
+       "      <td>1.383953</td>\n",
+       "      <td>371392512</td>\n",
+       "      <td>294256640</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
        "      <td>Apriori</td>\n",
        "      <td>2000</td>\n",
        "      <td>155</td>\n",
-       "      <td>0.897501</td>\n",
-       "      <td>308101120</td>\n",
-       "      <td>259850240</td>\n",
+       "      <td>0.918015</td>\n",
+       "      <td>386957312</td>\n",
+       "      <td>283475968</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
        "      <td>Apriori</td>\n",
        "      <td>2500</td>\n",
        "      <td>107</td>\n",
-       "      <td>0.615630</td>\n",
-       "      <td>321454080</td>\n",
-       "      <td>265535488</td>\n",
+       "      <td>0.615987</td>\n",
+       "      <td>387842048</td>\n",
+       "      <td>268615680</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
        "      <td>Apriori</td>\n",
        "      <td>3000</td>\n",
        "      <td>60</td>\n",
-       "      <td>0.465261</td>\n",
-       "      <td>350437376</td>\n",
-       "      <td>274907136</td>\n",
+       "      <td>0.401719</td>\n",
+       "      <td>388546560</td>\n",
+       "      <td>267010048</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
        "      <td>FPgrowth</td>\n",
        "      <td>1000</td>\n",
        "      <td>385</td>\n",
-       "      <td>1.523555</td>\n",
-       "      <td>422543360</td>\n",
-       "      <td>366100480</td>\n",
+       "      <td>1.462936</td>\n",
+       "      <td>480149504</td>\n",
+       "      <td>357433344</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
        "      <td>FPgrowth</td>\n",
        "      <td>1500</td>\n",
        "      <td>237</td>\n",
-       "      <td>1.238279</td>\n",
-       "      <td>398819328</td>\n",
-       "      <td>327565312</td>\n",
+       "      <td>1.093970</td>\n",
+       "      <td>453607424</td>\n",
+       "      <td>337133568</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
        "      <td>FPgrowth</td>\n",
        "      <td>2000</td>\n",
        "      <td>155</td>\n",
-       "      <td>0.882168</td>\n",
-       "      <td>354041856</td>\n",
-       "      <td>276299776</td>\n",
+       "      <td>0.853848</td>\n",
+       "      <td>391905280</td>\n",
+       "      <td>268075008</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>8</th>\n",
        "      <td>FPgrowth</td>\n",
        "      <td>2500</td>\n",
        "      <td>107</td>\n",
-       "      <td>0.615134</td>\n",
-       "      <td>341590016</td>\n",
-       "      <td>263225344</td>\n",
+       "      <td>0.574951</td>\n",
+       "      <td>408928256</td>\n",
+       "      <td>284704768</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
        "      <td>FPgrowth</td>\n",
        "      <td>3000</td>\n",
        "      <td>60</td>\n",
-       "      <td>0.423950</td>\n",
-       "      <td>336396288</td>\n",
-       "      <td>258031616</td>\n",
+       "      <td>0.404577</td>\n",
+       "      <td>378519552</td>\n",
+       "      <td>254279680</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 12
+   "execution_count": 8
   },
   {
    "cell_type": "markdown",
@@ -536,8 +523,8 @@
      "height": 1000
     },
     "ExecuteTime": {
-     "end_time": "2025-06-17T03:28:18.183982Z",
-     "start_time": "2025-06-17T03:28:17.741424Z"
+     "end_time": "2025-06-17T05:11:25.454634Z",
+     "start_time": "2025-06-17T05:11:25.123641Z"
     }
    },
    "id": "WH2g0jwz3OIe",
@@ -564,7 +551,7 @@
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ],
-      "image/png": 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"
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -581,7 +568,7 @@
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ],
-      "image/png": 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"
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"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -598,7 +585,7 @@
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ],
-      "image/png": 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"
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"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -615,7 +602,7 @@
      ]
     }
    ],
-   "execution_count": 13
+   "execution_count": 9
   },
   {
    "cell_type": "markdown",
@@ -687,8 +674,8 @@
     "id": "HKQMyYI8mVHr",
     "outputId": "3d584c07-30ed-4cfe-fb99-f9e3e505b548",
     "ExecuteTime": {
-     "end_time": "2025-06-17T03:28:18.224897Z",
-     "start_time": "2025-06-17T03:28:18.216184Z"
+     "end_time": "2025-06-17T05:11:25.482153Z",
+     "start_time": "2025-06-17T05:11:25.478312Z"
     }
    },
    "id": "HKQMyYI8mVHr",
@@ -724,19 +711,19 @@
       "\txmin=1000, xmax=3000,]\n",
       "\\addplot+  [red]\n",
       "\tcoordinates {\n",
-      "(1000,2.29429292678833)\n",
-      "(1500,1.4714970588684082)\n",
-      "(2000,0.8975009918212891)\n",
-      "(2500,0.6156301498413086)\n",
-      "(3000,0.46526098251342773)\n",
+      "(1000,2.276005268096924)\n",
+      "(1500,1.3839528560638428)\n",
+      "(2000,0.9180150032043457)\n",
+      "(2500,0.6159870624542236)\n",
+      "(3000,0.4017190933227539)\n",
       "\t};   \\addlegendentry{Apriori}\n",
       "\\addplot+  [blue]\n",
       "\tcoordinates {\n",
-      "(1000,1.523554801940918)\n",
-      "(1500,1.238278865814209)\n",
-      "(2000,0.8821680545806885)\n",
-      "(2500,0.6151340007781982)\n",
-      "(3000,0.4239499568939209)\n",
+      "(1000,1.4629361629486084)\n",
+      "(1500,1.0939700603485107)\n",
+      "(2000,0.8538477420806885)\n",
+      "(2500,0.574951171875)\n",
+      "(3000,0.40457701683044434)\n",
       "\t};   \\addlegendentry{FPgrowth}\n",
       "\\end{axis}\n",
       "\\begin{axis}[\n",
@@ -745,19 +732,19 @@
       "\txmin=1000, xmax=3000,]\n",
       "\\addplot+  [red]\n",
       "\tcoordinates {\n",
-      "(1000,281985024)\n",
-      "(1500,335609856)\n",
-      "(2000,308101120)\n",
-      "(2500,321454080)\n",
-      "(3000,350437376)\n",
+      "(1000,348405760)\n",
+      "(1500,371392512)\n",
+      "(2000,386957312)\n",
+      "(2500,387842048)\n",
+      "(3000,388546560)\n",
       "\t};   \\addlegendentry{Apriori}\n",
       "\\addplot+  [blue]\n",
       "\tcoordinates {\n",
-      "(1000,422543360)\n",
-      "(1500,398819328)\n",
-      "(2000,354041856)\n",
-      "(2500,341590016)\n",
-      "(3000,336396288)\n",
+      "(1000,480149504)\n",
+      "(1500,453607424)\n",
+      "(2000,391905280)\n",
+      "(2500,408928256)\n",
+      "(3000,378519552)\n",
       "\t};   \\addlegendentry{FPgrowth}\n",
       "\\end{axis}\n",
       "\\begin{axis}[\n",
@@ -766,19 +753,19 @@
       "\txmin=1000, xmax=3000,]\n",
       "\\addplot+  [red]\n",
       "\tcoordinates {\n",
-      "(1000,227950592)\n",
-      "(1500,274104320)\n",
-      "(2000,259850240)\n",
-      "(2500,265535488)\n",
-      "(3000,274907136)\n",
+      "(1000,309149696)\n",
+      "(1500,294256640)\n",
+      "(2000,283475968)\n",
+      "(2500,268615680)\n",
+      "(3000,267010048)\n",
       "\t};   \\addlegendentry{Apriori}\n",
       "\\addplot+  [blue]\n",
       "\tcoordinates {\n",
-      "(1000,366100480)\n",
-      "(1500,327565312)\n",
-      "(2000,276299776)\n",
-      "(2500,263225344)\n",
-      "(3000,258031616)\n",
+      "(1000,357433344)\n",
+      "(1500,337133568)\n",
+      "(2000,268075008)\n",
+      "(2500,284704768)\n",
+      "(3000,254279680)\n",
       "\t};   \\addlegendentry{FPgrowth}\n",
       "\\end{axis}\n",
       "LaTeX file saved as patterns.txt\n",
@@ -787,7 +774,15 @@
      ]
     }
    ],
-   "execution_count": 14
+   "execution_count": 10
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "",
+   "id": "c4004e096ceb7606"
   }
  ],
  "metadata": {
diff --git a/chapter10.ipynb b/chapter10.ipynb
index ee8df3d..dccc723 100644
--- a/chapter10.ipynb
+++ b/chapter10.ipynb
@@ -41,8 +41,8 @@
     "id": "initial_id",
     "outputId": "0c5e43f5-f0a1-4982-90c6-9dc4633ba185",
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:00:34.134200Z",
-     "start_time": "2025-06-16T23:00:34.006653Z"
+     "end_time": "2025-06-17T05:37:24.272182Z",
+     "start_time": "2025-06-17T05:37:24.143048Z"
     }
    },
    "source": [
@@ -81,8 +81,8 @@
     "id": "mHqZBS2rFjCg",
     "outputId": "17e80eff-b3d3-4ebc-fc25-6535201fd52a",
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:00:34.404585Z",
-     "start_time": "2025-06-16T23:00:34.238944Z"
+     "end_time": "2025-06-17T05:37:24.539704Z",
+     "start_time": "2025-06-17T05:37:24.404052Z"
     }
    },
    "id": "mHqZBS2rFjCg",
@@ -176,8 +176,8 @@
     "id": "xHIfupwWF4HO",
     "outputId": "aabb1fd5-8d10-4deb-a1c2-d162bd348a19",
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:01:25.248067Z",
-     "start_time": "2025-06-16T23:00:34.413747Z"
+     "end_time": "2025-06-17T05:38:13.912737Z",
+     "start_time": "2025-06-17T05:37:24.547327Z"
     }
    },
    "id": "xHIfupwWF4HO",
@@ -188,9 +188,9 @@
      "text": [
       "High Utility patterns were generated successfully using EFIM algorithm\n",
       "# patterns: 5968\n",
-      "Runtime: 49.29777693748474\n",
-      "Memory (RSS): 163725312\n",
-      "Memory (USS): 157106176\n"
+      "Runtime: 46.482388973236084\n",
+      "Memory (RSS): 105791488\n",
+      "Memory (USS): 82673664\n"
      ]
     }
    ],
@@ -275,8 +275,8 @@
      "base_uri": "https://localhost:8080/"
     },
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:01:46.658171Z",
-     "start_time": "2025-06-16T23:01:25.291798Z"
+     "end_time": "2025-06-17T05:38:34.434937Z",
+     "start_time": "2025-06-17T05:38:14.012435Z"
     }
    },
    "id": "9hArhengGQz4",
@@ -287,9 +287,9 @@
      "text": [
       "High Utility Frequent patterns were generated successfully using HUFIM algorithm\n",
       "Total No of patterns: 382\n",
-      "Runtime: 21.242650747299194\n",
-      "Memory (RSS): 93847552\n",
-      "Memory (USS): 87343104\n"
+      "Runtime: 20.1909601688385\n",
+      "Memory (RSS): 94175232\n",
+      "Memory (USS): 88244224\n"
      ]
     }
    ],
@@ -301,8 +301,8 @@
    "metadata": {
     "id": "DsdPQENx-3TE",
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:01:46.760148Z",
-     "start_time": "2025-06-16T23:01:46.758816Z"
+     "end_time": "2025-06-17T05:38:34.452861Z",
+     "start_time": "2025-06-17T05:38:34.448293Z"
     }
    },
    "id": "DsdPQENx-3TE",
diff --git a/chapter11.ipynb b/chapter11.ipynb
index 60843d0..1cc6618 100644
--- a/chapter11.ipynb
+++ b/chapter11.ipynb
@@ -7,32 +7,26 @@
    "id": "5cc87d28936a1d21"
   },
   {
-   "cell_type": "code",
-   "id": "initial_id",
    "metadata": {
-    "collapsed": true,
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:44:41.428343Z",
-     "start_time": "2025-06-16T23:44:40.984824Z"
+     "end_time": "2025-06-17T07:48:13.046917Z",
+     "start_time": "2025-06-17T07:47:48.348764Z"
     }
    },
+   "cell_type": "code",
    "source": [
     "from PAMI.extras.syntheticDataGenerator import SequentialDatabase as db\n",
     "\n",
     "# Create synthetic sequential database\n",
     "obj = db.SequentialDatabase(\n",
-    "\n",
-    "    # databaseSize=100000,\n",
-    "    # numItems=1000,\n",
-    "    # avgItemsPerPatterns=10,\n",
-    "    # avgPatternsPerSequence=10,\n",
-    "    # sep='\\t'\n",
+    "    databaseSize=100000,\n",
+    "    numItems=1000,\n",
+    "    avgItemsPerPatterns=10,\n",
+    "    avgPatternsPerSequence=10,\n",
+    "    seqSep='-1'\n",
     ")\n",
     "\n",
     "\n",
-    "# def __init__(self, numSeq, avgItemsetPerSeq, avgItemsPerItemset, numItems, maxItem=0, maxItemset=0,\n",
-    "#              seqSep=\"-1\") -> None\n",
-    "\n",
     "# Generate and save the data\n",
     "obj.create()\n",
     "obj.save('sequentialDatabase.csv')\n",
@@ -45,26 +39,25 @@
     "print('Memory (RSS):  ' + str(obj.getMemoryRSS()))\n",
     "print('Memory (USS):  ' + str(obj.getMemoryUSS()))\n"
    ],
+   "id": "db7e9112efb05e5b",
    "outputs": [
     {
-     "ename": "TypeError",
-     "evalue": "SequentialDatabase.__init__() got an unexpected keyword argument 'databaseSize'",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mTypeError\u001B[39m                                 Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[1]\u001B[39m\u001B[32m, line 4\u001B[39m\n\u001B[32m      1\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mPAMI\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01mextras\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01msyntheticDataGenerator\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m SequentialDatabase \u001B[38;5;28;01mas\u001B[39;00m db\n\u001B[32m      3\u001B[39m \u001B[38;5;66;03m# Create synthetic sequential database\u001B[39;00m\n\u001B[32m----> \u001B[39m\u001B[32m4\u001B[39m obj = \u001B[43mdb\u001B[49m\u001B[43m.\u001B[49m\u001B[43mSequentialDatabase\u001B[49m\u001B[43m(\u001B[49m\n\u001B[32m      5\u001B[39m \u001B[43m    \u001B[49m\u001B[43mdatabaseSize\u001B[49m\u001B[43m=\u001B[49m\u001B[32;43m100000\u001B[39;49m\u001B[43m,\u001B[49m\n\u001B[32m      6\u001B[39m \u001B[43m    \u001B[49m\u001B[43mnumItems\u001B[49m\u001B[43m=\u001B[49m\u001B[32;43m1000\u001B[39;49m\u001B[43m,\u001B[49m\n\u001B[32m      7\u001B[39m \u001B[43m    \u001B[49m\u001B[43mavgItemsPerPatterns\u001B[49m\u001B[43m=\u001B[49m\u001B[32;43m10\u001B[39;49m\u001B[43m,\u001B[49m\n\u001B[32m      8\u001B[39m \u001B[43m    \u001B[49m\u001B[43mavgPatternsPerSequence\u001B[49m\u001B[43m=\u001B[49m\u001B[32;43m10\u001B[39;49m\u001B[43m,\u001B[49m\n\u001B[32m      9\u001B[39m \u001B[43m    \u001B[49m\u001B[43msep\u001B[49m\u001B[43m=\u001B[49m\u001B[33;43m'\u001B[39;49m\u001B[38;5;130;43;01m\\t\u001B[39;49;00m\u001B[33;43m'\u001B[39;49m\n\u001B[32m     10\u001B[39m \u001B[43m)\u001B[49m\n\u001B[32m     12\u001B[39m \u001B[38;5;66;03m# Generate and save the data\u001B[39;00m\n\u001B[32m     13\u001B[39m obj.create()\n",
-      "\u001B[31mTypeError\u001B[39m: SequentialDatabase.__init__() got an unexpected keyword argument 'databaseSize'"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Runtime:       24.345705032348633\n",
+      "Memory (RSS):  40321024\n",
+      "Memory (USS):  21676032\n"
      ]
     }
    ],
-   "execution_count": 1
+   "execution_count": 2
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:52:19.446876Z",
-     "start_time": "2025-06-16T23:52:19.407643Z"
+     "end_time": "2025-06-17T08:01:14.549660Z",
+     "start_time": "2025-06-17T08:01:14.317653Z"
     }
    },
    "cell_type": "code",
@@ -88,45 +81,25 @@
     "obj = alg.DF2DB(dataFrame)\n",
     "obj.convert2SequentialDatabase(\n",
     "    sep='\\t',  # Specify the separator for the database\n",
-    "    iFile='sequentialDatabase.csv'  # Output file name\n",
+    "    oFile='sequentialDatabase.csv'  # Output file name\n",
     ")"
    ],
-   "id": "11433bac627c5e26",
-   "outputs": [
-    {
-     "ename": "AttributeError",
-     "evalue": "'DF2DB' object has no attribute 'convert2SequentialDatabase'",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mAttributeError\u001B[39m                            Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[3]\u001B[39m\u001B[32m, line 18\u001B[39m\n\u001B[32m     16\u001B[39m \u001B[38;5;66;03m# Convert DataFrame to database object\u001B[39;00m\n\u001B[32m     17\u001B[39m obj = alg.DF2DB(dataFrame)\n\u001B[32m---> \u001B[39m\u001B[32m18\u001B[39m \u001B[43mobj\u001B[49m\u001B[43m.\u001B[49m\u001B[43mconvert2SequentialDatabase\u001B[49m(\n\u001B[32m     19\u001B[39m     sep=\u001B[33m'\u001B[39m\u001B[38;5;130;01m\\t\u001B[39;00m\u001B[33m'\u001B[39m,  \u001B[38;5;66;03m# Specify the separator for the database\u001B[39;00m\n\u001B[32m     20\u001B[39m     iFile=\u001B[33m'\u001B[39m\u001B[33msequentialDatabase.csv\u001B[39m\u001B[33m'\u001B[39m  \u001B[38;5;66;03m# Output file name\u001B[39;00m\n\u001B[32m     21\u001B[39m )\n",
-      "\u001B[31mAttributeError\u001B[39m: 'DF2DB' object has no attribute 'convert2SequentialDatabase'"
-     ]
-    }
-   ],
-   "execution_count": 3
+   "id": "1a36cade270cf9e9",
+   "outputs": [],
+   "execution_count": 1
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:52:41.727101Z",
-     "start_time": "2025-06-16T23:52:41.693639Z"
+     "end_time": "2025-06-17T07:49:36.138422Z",
+     "start_time": "2025-06-17T07:49:34.701181Z"
     }
    },
    "cell_type": "code",
    "source": [
-    "# 1 from PAMI.extras.stats import SequentialDatabase as stat\n",
-    "# 2\n",
-    "# 3 obj = stat.SequentialDatabase(\"sequentialDatabase.csv\")\n",
-    "# 4 obj.run()\n",
-    "# 5 obj.printStats()\n",
-    "# 6\n",
-    "# 7 obj.plotGraphs()\n",
+    "from PAMI.extras.stats import sequentialDatabase as stat\n",
     "\n",
-    "from PAMI.extras.stats import SequentialDatabase as stat\n",
-    "\n",
-    "obj = stat.SequentialDatabase(\"sequentialDatabase.csv\")\n",
+    "obj = stat.sequentialDatabase(\"sequentialDatabase.csv\")\n",
     "obj.run()\n",
     "obj.printStats()\n",
     "obj.plotGraphs()"
@@ -134,26 +107,65 @@
    "id": "aba92deb07ed57fa",
    "outputs": [
     {
-     "ename": "ImportError",
-     "evalue": "cannot import name 'SequentialDatabase' from 'PAMI.extras.stats' (/Users/tarunsreepada/PycharmProjects/PAMI/PAMI/extras/stats/__init__.py)",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mImportError\u001B[39m                               Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[4]\u001B[39m\u001B[32m, line 9\u001B[39m\n\u001B[32m      1\u001B[39m \u001B[38;5;66;03m# 1 from PAMI.extras.stats import SequentialDatabase as stat\u001B[39;00m\n\u001B[32m      2\u001B[39m \u001B[38;5;66;03m# 2\u001B[39;00m\n\u001B[32m      3\u001B[39m \u001B[38;5;66;03m# 3 obj = stat.SequentialDatabase(\"sequentialDatabase.csv\")\u001B[39;00m\n\u001B[32m   (...)\u001B[39m\u001B[32m      6\u001B[39m \u001B[38;5;66;03m# 6\u001B[39;00m\n\u001B[32m      7\u001B[39m \u001B[38;5;66;03m# 7 obj.plotGraphs()\u001B[39;00m\n\u001B[32m----> \u001B[39m\u001B[32m9\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mPAMI\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01mextras\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01mstats\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m SequentialDatabase \u001B[38;5;28;01mas\u001B[39;00m stat\n\u001B[32m     11\u001B[39m obj = stat.SequentialDatabase(\u001B[33m\"\u001B[39m\u001B[33msequentialDatabase.csv\u001B[39m\u001B[33m\"\u001B[39m)\n\u001B[32m     12\u001B[39m obj.run()\n",
-      "\u001B[31mImportError\u001B[39m: cannot import name 'SequentialDatabase' from 'PAMI.extras.stats' (/Users/tarunsreepada/PycharmProjects/PAMI/PAMI/extras/stats/__init__.py)"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Database size (total no of sequence) : 10017\n",
+      "Number of items : 1000\n",
+      "Minimum Sequence Size : 0\n",
+      "Total Length of all sequences: 89972 and number of sequences: 10017\n",
+      "Average Sequence Size : 8.981930717779774\n",
+      "Maximum Sequence Size : 24\n",
+      "Standard Deviation Sequence Size : 3.178573401423905\n",
+      "Variance in Sequence Sizes : 10.104336480573055\n",
+      "Sequence size (total no of subsequence) : 89972\n",
+      "Minimum subSequence Size : 10\n",
+      "Average subSequence Size : 10.0\n",
+      "Maximum subSequence Size : 10\n",
+      "Standard Deviation Sequence Size : 0.0\n",
+      "Variance in Sequence Sizes : 0\n"
      ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 4
+   "execution_count": 5
   },
   {
    "metadata": {},
    "cell_type": "code",
-   "outputs": [],
-   "execution_count": null,
    "source": "",
-   "id": "c2c2072462771e62"
+   "id": "c2c2072462771e62",
+   "outputs": [],
+   "execution_count": null
   }
  ],
  "metadata": {
diff --git a/chapter12.ipynb b/chapter12.ipynb
index ff05df2..545b76b 100644
--- a/chapter12.ipynb
+++ b/chapter12.ipynb
@@ -28,7 +28,7 @@
     "import PAMI.sequentialPattern.basic.GSP as alg\n",
     "\n",
     "# minSup not defined in book\n",
-    "\n",
+    "minSup = 1,000,000,000  # Example value, adjust as needed\n",
     "obj = alg.GSP('airDatabase.txt', minSup,'\\t')\n",
     "obj.mine()\n",
     "#Retrievediscoveredpatternsandresourceusage\n",
diff --git a/chapter13.ipynb b/chapter13.ipynb
index 0ed2296..6575fc0 100644
--- a/chapter13.ipynb
+++ b/chapter13.ipynb
@@ -2,15 +2,19 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": null,
    "id": "initial_id",
    "metadata": {
-    "collapsed": true
+    "collapsed": true,
+    "ExecuteTime": {
+     "end_time": "2025-06-17T06:13:31.974305Z",
+     "start_time": "2025-06-17T06:13:31.972705Z"
+    }
    },
-   "outputs": [],
    "source": [
     ""
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
   },
   {
    "metadata": {},
@@ -21,22 +25,22 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:59:11.452288Z",
-     "start_time": "2025-06-16T23:59:11.369462Z"
+     "end_time": "2025-06-17T06:14:23.585467Z",
+     "start_time": "2025-06-17T06:14:23.576567Z"
     }
    },
    "cell_type": "code",
    "source": [
-    "# from PAMI.extras.syntheticDataGenerator import symbolicSequenceDatabase as db\n",
-    "from PAMI.extras.syntheticDataGenerator import S\n",
+    "from PAMI.extras.syntheticDataGenerator import symbolicSequenceDatabase as db\n",
     "obj = db.symbolicSequenceDatabase(\n",
     "sequenceSize=100000,\n",
-    "numberOfSymbols=10\n",
+    "numberOfSymbols=30\n",
     ")\n",
     "obj.create()\n",
     "obj.save('symbolicSequentialDB.csv')\n",
     "#readthegeneratedsequencesintoadataframe\n",
-    "symbolicSequentialDataFrame=obj.getTransactions()\n",
+    "symbolicSequentialDataFrame=obj.getSequence()\n",
+    "print(symbolicSequentialDataFrame)\n",
     "#stats\n",
     "print('Runtime:' + str(obj.getRuntime()))\n",
     "print('Memory (RSS):' + str(obj.getMemoryRSS()))\n",
@@ -45,24 +49,23 @@
    "id": "256ebf5a992ae5f3",
    "outputs": [
     {
-     "ename": "ImportError",
-     "evalue": "cannot import name 'symbolicSequenceDatabase' from 'PAMI.extras.syntheticDataGenerator' (/Users/tarunsreepada/PycharmProjects/PAMI/PAMI/extras/syntheticDataGenerator/__init__.py)",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mImportError\u001B[39m                               Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[1]\u001B[39m\u001B[32m, line 1\u001B[39m\n\u001B[32m----> \u001B[39m\u001B[32m1\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mPAMI\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01mextras\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01msyntheticDataGenerator\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m symbolicSequenceDatabase \u001B[38;5;28;01mas\u001B[39;00m db\n\u001B[32m      2\u001B[39m obj = db.symbolicSequenceDatabase(\n\u001B[32m      3\u001B[39m sequenceSize=\u001B[32m100000\u001B[39m,\n\u001B[32m      4\u001B[39m numberOfSymbols=\u001B[32m10\u001B[39m\n\u001B[32m      5\u001B[39m )\n\u001B[32m      6\u001B[39m obj.create()\n",
-      "\u001B[31mImportError\u001B[39m: cannot import name 'symbolicSequenceDatabase' from 'PAMI.extras.syntheticDataGenerator' (/Users/tarunsreepada/PycharmProjects/PAMI/PAMI/extras/syntheticDataGenerator/__init__.py)"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      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&\n",
+      "Runtime:0.003885984420776367\n",
+      "Memory (RSS):73809920\n",
+      "Memory (USS):46694400\n"
      ]
     }
    ],
-   "execution_count": 1
+   "execution_count": 12
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-17T00:01:30.124367Z",
-     "start_time": "2025-06-17T00:01:30.084786Z"
+     "end_time": "2025-06-17T06:14:36.080273Z",
+     "start_time": "2025-06-17T06:14:36.042291Z"
     }
    },
    "cell_type": "code",
@@ -79,6 +82,7 @@
     "# symbolicSequentialDataFrame=obj.getTransactions()\n",
     "#stats\n",
     "symbolicSequentialDataFrame = obj.getSequence()\n",
+    "print(symbolicSequentialDataFrame)\n",
     "\n",
     "print('Runtime:' + str(obj.getRuntime()))\n",
     "print('Memory (RSS):' + str(obj.getMemoryRSS()))\n",
@@ -90,26 +94,27 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime:0.02767777442932129\n",
-      "Memory (RSS):36192256\n",
-      "Memory (USS):22609920\n"
+      "TGGACAATTGTGCACGGATCACAAGATAGTTCCATTTGAAACTAATACAGACGGAATCATGCAACAGGACATGTCTATAATCTTCAATGCGGGCCCTCCTGTTGTACGTGCAACTACCCATGGTTGCCGCCTCATATTAGTATCCGGCAGCGCAAAATACGGCAGGATTCGTTCGCTATGAGAACTAGTACGTGGTCTTCCTAATTCACCTAGTTTATGGCTCATTGTCCGTCGGTGGAAAACCCCTAACGCCAGTCGAGATCCGACTACCCCACACGAGACACTTAGCCTGACAATGTGGGGTGGCAGGGTATTCAACGGGACGTCGGGTCGGAGAACGACGTCTTATACAGCAAAACTGACGACCACCTTAGGGATCTTGTCAACTGTAAAGTCTATCGGACCGACGCAAGCGAATTTGTACCTTCAGTGGCCGCTGAATCTCCCTAAATGGGATCCGCGGGGTAAACGCAACGTATAATTCGTATGTATGGCTGAAACGCGGACACTGTTGTCCGTATAAAGAGTAATACTAACGAGGCATAAACGACGAACACTATCTAATCGCGATCGTGATTAGGTTGTCGACGGTTCTCGCCGCCTGAAGCCACGCTGCACTTTTGATACAAGCCGTGCTCCGATAACCAGAACACCGGATAAGAAACCCGATTCACACCCAGCAAAACGCGGTAGCACCGGAAAATGTGAAATTGCCGAAAATGACTAGGACCGGGTCCATAGTGGATCGGTTCTTGTCGGCACTGATTGATAGAAGAAGTGGAAGACCACATTAGTCTCAATCGCGCAGGATAAAATACCTTCCGATCAACTAATCTTCTGCGATGTTAGTATCTCTCTCCTATGTATTCGGACAATGTCGCTTGTAATTGGAGTGGCATTATCGCGTCCCTAGCAAGCGCTAATAGAAGGGCGGCTCCTCTCCGTCCATGAGGATAAGGGACTTATACTGCGTCGGCTTGGCCCCTTGCCAGAGTATGCCATCATTCAATGAAAGGACTTGCTGGTGATAACACTTATGACTCACCCGCCCCTACCCTGCAGCATTTAACCGTCTAGTGGGACTACTCATAACCCAACGCCCTGTAATCGAGCCGCATCAACATGTCATACATAAAGCGTAGGGCTAAACGCGCGTAATTAGATCCCAAACGTTATCTTCTAGCCGCTAGTGTGTGCACGCCCCGGGCCGATTCGTACTGATTACACTGCAATTGGTAAAATCTTAATGAACGTTTTATACACCAATACCTCCTCCAATGGGTAGGTGGCGTTTCCGCTTCCACATTTCGTTAATCCAGGTCAGATAATGACATTATTTGCGCCTCTTACCTCCATAATATGAGGATGTCGTGGTTGCCGTATTCAATATAACGGCGCCCGGCATCACGCCACATGGAACCCTCAAACTCGACCGCGTTCACGAACTATTTCGGTAGTACGTTAAAGCTATCGATAATTCTCTTGTAATGGCTGTCTCGGCTATTTTCAGTGTCCGAATCAGGGTACCGCCCGGGGCCGCACGCCGAAATACGAGTCGTTCTACCGGAGTCGTAACTCCCAAGTCTGGCAGACCAGCAAACAGGACAAGGAGTAACCCTCTGAGGTGGATGATACAAAGGCAAAGCTATGGCGTCGGACTTTCCAAACAATATAATCCTGGTAGAATGTTCGAAATTCGATCCCCGCTCGCACTCCACTGGCGGTTTAGTTCGCTTCTTTATGGTGTAGTATCCACAGTCCCAGTATAAGAATAGGCCGTGTAGAATGCGGCTGACACTGCCGTGCACTGCGACCGCGCGATAGCCAGACTACTATCCGAGAGTGATCACAGGCTCGTCGCCGGAACCCGGCAGTAATGGGATTATACGACAGAGCTTTCTCTAGTAAGAAATGATTCCGCTTCACTATATCCCCACTGCCTTTAGTCCAGAGGTCTGCAGACTTAGCAGCTGAGTATTTACGGCTCCTTAGCGCCATTCGTGTGGCTTTTATCATGGAGTGCCGGTTCTCGAGCTAATTAATCGTGGAGTGCGATAACCAGGGTAAATTCAGTCGAGCTCTCGAATACGACTGGTACACCTATGGGTCAATATGTGGCTGGTATGCTGCCCACGATAAGTTTGGAGGAGAATCGAGGACTTGGGCCAGGATTTTGAGATGAAAGGTAGCAGACGGTATTTTGCCATATTGACACTTTTATAGAGCCGGACCGTTCTGATCTGGCTCTGAAGAATTCGGGGCCTGACGCGTTGTTTTCGTTAAAAAATCGTGGGCGTCAGGGCGTCACCAACGTCTACCCGTGACGCCTACTGTAAACCGTCGACGTACGGGACAAGAGTGTGCCGCAGTCTCCGCATTGGAATCATAGCCATACCACCCTATCAGTGCTACTCGAGTATACGGTATTGCCCTTGACAATCACTAATATCGTTTAAGTCTGGAAACCTCGACGTTTTACAATTGTAAAACCACTAGCGGACGAGTCGGTAGCGGGTTAATGCATTGTGGCCAGCCTCCTCTTTGAATGCTACCTACTCAGACGCAATGTGGCGTCGAACTTACAGCAACTGATTACATCGTAGCGCAGCGCCGGCACCACCGCCCCTTTAACATCGACTGGAACGTGGGGAAGCGGTTTTGGCTCTTCTTACGGCTGGGAAGCGAGTACACCGCTACCACAGTGCGTAGCAACGTCTCTTAAGTCCCTCAGAAACAGATCAACGAGAGGTCAGAGTCGGACTAGAACGCGGAATATTCCAGGGTTGTTCGTATATACTAACTAGTGAGTTCTCTCAAGTCTATGGCCATCGTCGATGCATGTATGTGATACTATGTGCGGGCAGGTCTTCGTGCGCATATTGTAGCTCCCTGTGCAACCGCACAAGAACTGCCATGAGATACAAAGTTAGCATACTCATTAACGCATCCCTAGGTACCTTCCCAAGCGTATAAAGATTTACTATTCCAATCTGGGACCCAATTAGATCTGCCTTCTTTTTGCGCTTAATTAAAGGGTCACCTAAGACCACGGCACAATAGTGTGAGTCTAGATGGCGATCCCACTTGAGCCCTCTCCTCAGCCCCTAGCTCGTGACTCTAACAGCCTTTCCCACACTTGCCGTTAGAGTTTTACTATGATCGATATCTGCTCGAAACCATAGAGCACTCCAACTCTCGTGTGTCCCGTTCTACAAGATGCCTCTATGGAAGCAGAACAGACGGATGACAAATTGTGGCGATGGCCTCCTGTCGTAGTTGTACCGATTGTAATGGAGGGCCACGCTCGCCCTCCGCTCGCGCATAATAATATAAAGGCATCCCTCCGGCGATTTAGTACTCCCTTGATTTAGGTTATATTCGCCGTAACAGCCGGCAGATTGCAACTCCTTTCCGCCGAATCTCCTGCGTATACAAGGGAGCCGTGTGCGTATACTCGGCTTTTTTGCTGTAACGGATACCTTTTAGTCGAGCATTACAGGGTAGTTGAGAGAGGCTAAGAGCCAGCGTTCGAACCGACATTCTCGGGGCCCAACTACCTCTGGGAGCAACATAGATGTGAGCCTTGCCGCCTAATTCACGGAAAAAAGGCGCGGCCAGAGGCAGGTCATGCTATAGTACGGAGCAGTTCCATTAGTCATCGGAGGCTTAAGCTGATGTGCCATGTTGTGTACTGCTGAACACTTTGTCTTTACAGTGTAAGGCCTATAACCTAATCGATGCTCCTTGCGTGCCGCGTACCAGAACGGGCACACCCAGGTAAACGCACATCCGCGACGACATCTACCCATGACGGATTCGTGGGGGAGAACGGAGACTGAGGGGTTCTCAATACGAAGTTCGACAGGACGCAGAGGCCGTGAATTTATAATGGGTGTGTGGGGCTACACCTTTCACCCATTCTGAACCTCCAAGAGAAGCTGCACACTAGCGAAACTCTGCCAAGCCGGGTGTGGCTCTCTCGCTATTAACAATCTCTCCAGATATCAGGACTAGGCAACTTAGCTCGGCGGATGCTCACCGAAGCTAGGAGAGAGAAAGGCCAACGTAGAATCGGCCACGTCTAACGTGCAAGGCGGCGGCATTCGTACGCCGCGACGACGGTATACGGGGAGAAGCAAGGTGAGTAGGAGTCTAGCGTCTGGGCATTCGAAAAATTTAGCGATAAACTTGTCGGTTGACTCTGGGTCTAGCTACGCTAGGTTTGTGCGTCCAGTAAGCAGTCTCACCAAGGCGGACTCTTCCAGCGGTGACTGAAGTAGGCGCCAGCAGCGAGGCGGGCACTAACCATAAGAACCTTAATATATGCCCCCCCCCCATGCGATAGCAGAACGAATATAAACTTAATTTGTACGCGCGACTTGGTCGCGCTGGCACGTAACTAAGCCCTTCTATACGAAGCTACAGAGGGAATTATATGCTTAACGCCGGTGTTGATATGACTGTCAGTAAATTAATCGATAATGATGCCCGTGGAACTACGTCGATTATGCTACGTAGCGTTGTATTTATTCACAGAGAATAATTAAGATGTAAATACGTGTGTGAATGTTAGTATCTGGGATTGGAACTATAGTAAAGGCACGCTCAATCTGCATAACCAAGCTAGGATGGAAGCTCATAAATCGATCAGTCGGAGACACCCCAGCTCTAGATTATGAAAACTTACCACAGGTTCGATGGTCCAAGAGGTTTGGTCATTAGCTCGCGATCTGTTACGGACATGGACAGAACCTACTGTCCAGTCCTTAGGTTTTATAATACCTGCGGTCTTGAGCGCGAGTACTGCCAATTATCTCGCGCTGGGTAGGGGCGAGAAGCATTCGTTTACGACAGTGCCAAACGGTCGTATGAGTTCCGACGTCAGAGTCACTTACTTATTAATGCGCGAATAACCGAAGTCATGGCTCAGGGAAGCCCACCTTTAGGATACCCATCTGGCACGCATAGGCCGTCGCCGAACATGAGTGGTCCACCGCTTGACGATGGTCTAAAATGCCTCTGGGGCTTCAGCAGGCTTTCCAGGCGAACTACTTGGCCTCAGGTCCCTGTGCCATTGCCCTCTTCTCTCATGACAAGCTATCTAATAGGATCCTTACACGCGCCTATATGGTAGCTATTTCAGCCTATGGACACCGGTTATAGAGAGTCCATTAAAAGGATGATAGAAGATCGGGATTTTATGAATTGGCCCCACTGCATAATATAAACAGCATTGCGGGTACTGCACGGGCACCGTCATAGCCACAATACCATCGAATGTACTTGGAGACCGCTGTCTCCAATCGGCATTGGGTGGAGACCTTCTGGAGAGATGGGGTCCATGTTGCAGAACGGCTACAATGTAGAAGAATAGCTGCAAAGACGAGAGCGGCGACGGGGGTGCAGGTGCTTTCTTGGAAACCACCCACGCCGCTAGTGACAGTGCTGACGCTTGCCAGCGAAGATGTCGGTAACAGTCCGATCCCTGGAAACCTAATGCTAACCAAGACCTGAGAGGTCCTTTCTCGTATGTGAACATCGAAGTACAGTATAGAAACGCTGTAGTCGTTCCTGTGATTCGACGACTGCGAAAAGCGAATGGCCCATTACCACGAATGCTCTATTAAATCCTCAGATACGCGTAGATTTGAAATCTAACAGAGCTCGCGTCATACCTGGCTGGCCCCGAAGGCGTTTGTAGTTCGTATCGCGTGTGCTAGGTTTGAAGCTATACCAGCCAAAGTCTCTACTTCTGTTGGTCCTGACTCACCAGCCTATTATGAGTGCGCTTTTATTTGTACGTGGTTGATCGTGTGTTGGAAAAGCCATGCCGGTTGATTCATCCCCCATTGGGGTATGGTGCCTACTTCCGGGTCGTCGGAGGGTATGCTAGGTGCTCACTGGGACATTCCGTGTTTGCTCTAGATGCACGTCCGCCTTCTGAGCCTGTCCCGGCCACGCGCGCAGCTATTATCTGCCATCATACTACCAGTCGTCCCGTATCAGAAGCGCGGCGCCACTCATAGCTCTTGCACTGGTGTGGCATTCGGCCGTCTTAATGTGCTTATCAGAGGACTTATCACCAAGTGGTTAAGCTAAGGACATTGGTTTGCATATGTCATAGGGCCTTTCTGGGCTCTATCCGAGAAGCCTCCCGCAACAACCAGTCACGAACACCCCGTGTCCAAATGCTTGGGGTAATAAGCAGGCCGGTTTAGCTAAAGCTGCTGTCGGCTTGGATGCTTGCCGAAGAATAAACACGCGGACCATTTAGCCGCTTTACGACAATATGAGGCCCATGAGCTGACAGCTCTAAAAGTACTACTCTGATTCATTCACGAAATGAAGGACCATAGGCGGGCAACCAAGTCAACCCATATTCCAGGAGTTCCCCTCTCTAGGAATACAGACCGAGTCGTGAAACTTCTGATAATGCAACCAGACACCAGGGTGATAGCTAGCCCAAATTGTCGCGATTCGAGGGTTGTGAATCCAGGCGCCCAATGTCAAGGGTCGGACAAGCGTTAAGATCGCCCCGGTCCTGCGGTCCCTAGCAAGTCACAGCCAGTTTAACAGGAAAAGTCAGTTGATGAAACCATAGGAAAGACTTTGTCAATAATGGTATTAAAGATCAAGCAGTATCGACCATTTTCAAGCCAAGTAGTCACGCACGAACCCTGTTGCCTCAGATTAGGTAAACGGGCTAATAACCGGAAGGATTAGTGCGCTGGCGCTATTTAACCGAGGCGAGGGCACCATCTCCTACGTGTGCATGAGAATTGGTCCCTCAATCCGCCCCTCTGGTGATGCGTCATGTTTTTTCGACCCAACGCCATTCAGTCCCACATATTGAAGACATGGGGGTTCGATAAGCGTTGGGAACCAAGTTCGATTGTCTCCCAATCCGCCCGCTTTTCCTTTTGTCGCTACGGCCTGACAACCTCCGTTACGAGGTTCGCTCAACATTGGTGATTGTTGACGCCCGTTCAGGGCGAGACATTCTCTCCTCGTTGATCATCGATTGGAGCGAGTGGAGGGGAGCTGGCCTTCTGCTTTGAGCAAGTTTCCGCCCCGTACTCTTTAGTGGCACTGGCTAGTGGATCGTCCAGTACAGTCAGCATCCTACCGGGTCTAATGCACGCCATGTTACCGGCAAGGTATCACATTGGCCTGCCAGTCGCTAGGCCAATAGTCGGCAATAAGTCGAAATCTATGCACCACCGCGGGTGGAGCTTCCCGAGCTTGGGTCGATATCCACGTGACTAGGGGCCCAGAATCCAGCGAAATCAATGAGGGTTTACTCGGAGATCATTTCAAAGTCGACCGCGGAAACACGATAGGCGATGGACCGCTAAACCCTGCAAAGTTGCGGGCCATCTACCATAATTAAGGCCGAAGTCGTACCGAAACGTGTACGGTGTTATAAGAAATTACTGACACGCACTTTCATGACTTCGAGAGCTCTACCGACTCCGCACTCATTAGGACGGACTCAGAGAAGACCTTATATAGTTACGGAATCCAAATAACACTACTGGGCGGCCAATCCAGGTTACTCAAAATTAGTCACTCCCATGGTACGGTCCTTTTGCCTTAATACTTCGTGTGCTTAACTTCATCTGCCTGCAGCGCAGTCCGTGTTCGCCTATTCAACCCGTGACTTCCGATGGGAACACCGCGGCGCTTTGCGCCTAGTCTCGACAGTCCTTTAAGGCAGGAGGACCTCTCAGAGAGGACTAGCTGTAAATTAGCGCGAGGGCATCAATGGTAAGGTCCACTACGCTCTTATCAACAATTAGTATTTAGAGCTGTGCAACGGTCATCCCAACGTGGCAACAAGATTCCACGCTCAAAGTTGAGATCTAGAGCCCAGCCACGGATTCCGGACACAAGAGCATAAGAAATAGGACTCTCGCAGGGAAATCTAGATGTTCACCTAATCTGAGCCACCAGGTAAAGGGCAGGTGGCATTAGTTATCCACCTGAGTGAGACAGGTTACCTTATCCTATCTCCCATCTCAGTGCCTAAAGCAATAAGAATACGGGAAATCCAGCGATTGACTTATCGACTATATAACACTCACCCGGAACACGGAGACCGAGGTTCTTGATTCCATGGCCCCGTGCTTTAGGGCCGACCCTCTTATGGAGTCTATATGGGGCCGCGTTCGGTCAGTTGGGCCTCGTCAGCCCATCACTACGTATACGCTACAGTCATTTCCCCGAAGCAAATAGAGACAGCAGCCTTTAGTACATCTTTGACACCCCAGTGACCAGGAAAATTCAGATGGGTAGCCAAAGCGGTCCGAGCTACATATGCTCCACCTTCTGTTCATCTAGGTTCGAACCCCTCTACTAAACCGGAGTTGCTTTGTGTACATTGAATGATGACGTGGATTGCCCACACCTATTGCTGCCGCGACTTATTCGGAAGAGCCAGTCGGAAACACTCCATCTGGCGCCGCTAATATATTCCCTGCTTATAGTATAAACGACTTCGTCCGTCTTCACTCCCAAAACGCACTAAGGGAGGAGCACCCTCCGACCAAGCCCCAGGCGGTGCCCCGCAAGAAACTGCTAAGTGACTGGTGCTGTCACTTGACACAAGACAAAGGGCGGAAAATCGCGTAACAAAAGAAGCACTAATTAATTCGTCGCAAACTCGTGGGAGACTATCGGGTAGGCTCGAATGTGGGCAAGACGGGCGTCCAACAACCAATACAACTCTCTGTTGCAGAAAAAGGAGACTATTGGAAAGCTGCTCGATAGGGGCCTTTTCGCTGAGGGGCCCGAGGCGAATAGGCATCACCAACTAGAGAACTAAACGATTTTAGGTATGCTGGTGAGGTGCGGCAGTCCGCCGAGTCGGTTACGGGGGGGCGAAATCCTCTGCAGAGTCCCTCCACTGTCAAGCCGATTAGCTCGCGCGCACCTCTGTGGGCCAAACATCTAGGGTTGCTTCCGTGTACTTTAGGGCGTATCCACCCGTTCGCGACACGTGTGAGGGATCACTGCGGTCACTACCCAGAGCATCAAGGATCCTGGACCTTGCACCTGGTCCTTGTGACCCGACTTATAGTTCACATCATTCTATTCGTCGATAGTAGGAAAACAGCAGGGGTTGTTAAGTACTAGGCTGGACATTTGCAGCGTAGAAGCATTAACTATCCTGTATGCATGTATTAGCAGCACGCTCGCCTGAGGAAAGGAGAATGTAGTGTCTTCGACTGAAAAGCACGGCAGTTGCCCTCCGAGAATTGACCGGATACGGACATTGCATCACAGTGAAAGGTGGAGCTTCCTATCAAAGCTTCGTAAAATCCCTCTCTTTCATCATATGTGACTACCAGCGAACTTGGTGGACTCGACTACGGAGTCAGGAAATGCTAATATATTTAAGCAGTAAGTCTCCAGGGGAACAGGTCTTGGGCTGTTATTAACGGCCAGCTGAGTTTGAGGCTACAGGAGTACGGTGGGTGTGAGTGAAACCTTAAGCTTGAAACGCAAACCAAGCCAGATTAGTATATTCCGCATATGATTATGAAAGACTGGGACGCGAACGAGATTTTGCGCGATCCAACCAAATTGAATTGCGGGCCTCGTAAATATTTAGGATGGGGTCTTATCCCCTACTACTATAACAGATCTCCTCCCTAGTCGCTAGTAGGAAACAGACCATCACCACTCGGCCAGTTACAGAGGCACCCGACCTATTAAACGGGGCAGATAGTCGCCAGCTGTCGACTGCTTTCAACCATAGGCTTTCAGTGTAGATTTCTAGTCACGGTAGGCTCCTTTCGACTATGGCAGCATACCGAGATTATGGCTCAATTCCCGTCTGCTCTACCCGTGGGTGAAGTCCCAAGTAGAGTTTACATCGGTCGTACGTGTTCATAGCCATCCACTTATGGACAGTGGTGCCGGAGCCCTCGACGAATTCTCAGCGCTGTGGGCACTCGGGTTCAACACGAGATGTAGCTCCGTTATCTCTAGGAGATGTCGTTTCTTAGAACGTAGAACTACGCGATCCGTCCACTGACTCATATACTCGTATCGTCGGACAGAGTAATCGAAGTTTCTGGTAAGGTGGCCCGCACCACATGTTGGCACATCACATTTTATAGAGCGATATAGGAGCGGGAGCATATTAATTCGGACTCGGGTGCAAAACGATGCTACCTTTACATCCTTTGTGCATGGAAACATTCGCAAGGGTCTGCCGCTTATGTACACATACTGAAAGGAACTAAAGGCGACCAAGAATCTGTGCGGGTTTAGCGACTGGACTTACCGGGGTCTCTCACCGCCGGGCTTATCTGTCTCTGCGATAGTGGCTAGAGGTGGACTATGTGGCTTAAAAGGTTGTATGTGTCCACACCCGCCCTGTACCGCTGTGGTCGAATGGTGCAACCTTAACGGATCTACAGCTAAGCCGCGAGTCTTCTAGTCCGCAGGTGAACTACGGACTACACCGTGCATATCGGATGAGCTAGTTCCCGCCTAGCACTAACTCTATGTCAGGTTTGAGCAAGTAGGTATGGGTGAATGGGAGACTAACTTAGGGGCGAGATGCGACCTGTTGTTGTAGAAAACTCCAATGGAAATTGCCGCCTTTCAGCACTAGCTGGCAAGAGATTTCTCTATATAGATATCCGTCACGAATCTGCAAGTACAGAGATTTTGCCCCATTGTCCTCATGCGCTACCGAACGTGTCACACACTCCAGGAAAACCCATTCGTTTAACACGAGCCAGTGCCGATTAGTCATAGCCATGAACGTCGCGACGTAGAGGATCCTGAGGCCACGCTAGACTCTCATGGCAGACTCCCCGCTCGCTGCCGATATGCGAACTGGATTCCGTACAACGCCGCCAGTTAGATTAGGTAATCAAGCAAAGTTGCATGGCGGACTCTTCTCCCCCCGTGGTAGGCATCCAGCCGCATGGTAGATGTTTCAAAGGCACAGCGAGGGTAGTGGATACCGGATTCCCATCTCAAGTTGAGAGAAGGGTTGTCCTATTCTACATATGAGCAATAGATGTTTTTGTACAATCAGGAGATTGCTCGAGTGTTCTACCCCCCGTTAATTCTGTAATATGGATTTACAGAACGTTACAATGGGTCCCCGGAGTGGCCAAATATGGGTTCTACGGGGCCCGGTCTCCAAGATCCATGATCGCAATTTGCATGACGCCGAAGACCTCCAGAAGTTGAGGCTTATATCTTGTGCAAATATGCGTACTATACAACTTGAAAACAGGGATCCGCACTCCCGGGACTATCAATTTCTGCACACAGCTTCAATAGGGACCACAGCATGGTAGCGGATCCTTGGTATGCGGTTAGACTTACACATAGCCTGGGGACTTAAAGGGAAAGTCTCTGACTGGGCATTCTGCTTTAGGCGCGGTAGTTCTACGACCAAGGGTTGTAGAGTTTGGGGTCTCTCCCGTTCATAGCTTTGGCGTTGTACTGGTCGCGACAGAAGTTAACCTAGTCGAGACGGCAGTGCTTGACGTATTTAGACACATTCACAGGCACGTCGGCGACTCAGCGAAACCACTGAAGAAACCAATAGGTACCTCTTATGAGTAAGGCGAGCCGTTGGCACAACCCAGGTGGTCCCAAATCAACCACCGCTGGGTGGCCTGAGACCATCCGCTTTTGCTAGAGCGATACCCGGAATGACCCTTCTATCGGACTCCTGCATACACTTGGGGTCAGGCTGTTGTCTTTCCCAAGGAGGAATCCAAGTAGTATTAACGGGCTTGCCATGCTTCCCTAGCTCTTCTCAACCGCCATCCCCAGTACCCATTGAAAGCTGGCTGATCTCACGTCGCTCAATTATAAGCATTTCTACAGGCCAATCCCTCGGCTCCGTGCCTTACCGACAAATCTGGTCACGAATCATCTCCCAGTGACCCGTACCACTTGAGGTTGAGGTCCTCTGGTAGTACGCCGGGACATAACACTGTGTCCAGATAGACTCGGGTATAATCATATGAACGAATGATATAACGGGGACGGCAGTAAAAAAGAAATCATAACTAGCTAAACTACGCCCGCAAGGGGATGAGCATAACACTTGGCAGGGCCCTGACGCAGTACCAAAGTGGGAGAATCCACGCGTGAACATCAAACTGAGGACGAACGCGTACGGGATATAATTTCATACCCGTTTTCTAATATAAAGACATATCGACGAGCGTCCCGTGCAACGACTTAATTCCATCCCTGGCCACAACGGGATTAACCGGCAGCCTCTCTTCCCTTGTTACATCGAGACGCGTGATCGAAAGTCTCGCCCGCAAGAGAGTGATCGCCGCTATCAATTGTTGTCATAAGGCCTTAGGGGAATCCGTAGATCGTGGCCCTGAGTTATATCTGGTCGCTCTAGGTGCGCCCCGCTACTCAACTCAGGAGGATAGCAAAGATGTATTTAAGTAGTCGGCGCGTAGACGAAAAGCCGCGGATATCCCACGAAGGGGCAAGTTTGCACTTATACCGGTACGTAACTTGAAGGTCTCAAAACAGCACTCGGCACGACAGAGGTTGCTGACCGCAAACCTTTGCCAAGGCCACAGCTTTGAGACAGTGCAAAGGCGGCAAACGAGTTGCAGCTCAAATATCGTAACGGGATTTGAAGGCACTGAGCCCGCAATTCATATTGTACGACGGCATGACAAACTTTTTGCCTCAAATTTATAGATTAACAAACAACCCATGCAGACACTCTGACAGAATTCTCGGGTGCAGAGGATACCTTGAATGACGCTTTATTCCTTTATCCTCCCGTCGAAGAGGCAGATGCTCGGTTCTGTGTGTAATTACAAAGGAACCGGAACCAGCCAGCTTTGAGGTAGATATTGACAACAACTACGTCTGTAATAGTAACTAGACGAAACATGCACCCAGGCGGTATGACGGCTACTTCCTCAAGCAGAAGCCTCTGAAAGTCAAACAACTGGGCGAGCAAACAAGAGCGTACGACGCACATGTTACCCGCCGTTCTGAAGTATCCTGACAAATGGGGCTCTAACTACAGGAATCCATGGTGTGCCGGAGGATGAGGGTCCCTCGCTAAGGCCCTATGAGTTTGTGTCCGGATTCTTTTCTTTTGAGGCCCATAGTAATGCAGTATTTTCTGAAAGCTGCTTGACGCTGAACTGTAACGGTTGGGCTAATTTGCTGAGTTTTAGAGACAGCGTCTGACGACTTCTAGTAAGGTGCGAATATCGCCCTTGCCACATGCCATTCAGGAGCTTGCAGGTGTGGCTTCTGTTGCACTAATAAGATACCCCTGGGGGGTTTGGCGGGCCAAGACCCTCAGTCGAGAGTCACCAGGCACCCTTGAAGCACTGTTAGTTAACGCGATCGCTTCAGACATTACAGTTCATGAAATGAGGCGCATCGGATATACTTCAGATTACCCGTAGGGTGACCGCTTACCTATCTTGCCAGTATTAGGATAGTCTCCTGGGCTTGCACGTTTGAGCAGACCCGGATAAATTATAGATCCCATACGGGATTGCGGCTCAACTACGTTTGCTCCCACGCTATTAAGCGCTGTGTAGTATTCGAATAGAACGATTTACGGCCCGGAAAGCGATCCCTCAACTCCCGAACCAGTTAGAATCGCCACTCATTCCATGTCCCTTACGATACAGATTTGGAGTGTGCCGGACCAATCTTGAGCGGAGAGATATACCATGGGCTCCTACGCAATGCCTTTGGCCCTTGATACGGGATCTGAGCATTCATTTTGTAGGAAGATCATCACTCGCATCCTAGAAAAGTCTAGGTCAACATAACGGTGTCGATTATACAAATCTAGAAGTATGCGTATCTACCTTTGAAACAAACAGCTATCGGCGGTACTAGCCTACTCTACTGGACGTTCGAAGTGCCAAAAAAGAAAACTATCTGTTACGCCCTGGAGTTTCATTGCTTGCGCGTATTGCCTATGCTACATCATTAGATGGCTGTTAGCCACTACAATCCTTTATGGTAAGTGGACTAGATTATGGCAGACGCAACCTGTCGGTCATAACGCCTCGCGCCCAAAGGAAATAATATCCTTTATAGGATCGCTCGGCGCCGTCATCATCCTTCACGGAACAACCGCACAGACTGAGGGTCAGCAGAAAGGGTTCCCAAAACTGTTGGTTGCGCGTGTATACTGGCTTGCGGTGGGCTCACGAAGACAGTTTAGGAAGAAGCCTACTCTATTCCATGAGAAGCTGACTCAGATTGGACCCATGAGCTGATCTCGCCAAATATATGGGACAATCGTGGGTGCGGCGGAGGACGCGCGCTAGTGTCAGCATAGGGATTGAATGCAGGGAGTCTATCTCATACACCAGACGATGGTAAAGTACACCTATATACAGGAGGACCGACCCCTGGGAACTACTTGGTTCGATACTCCTCTTGATTAGATCCCGATCACGTGCCCATGTTTCGGTCCGAACATCGCACCATTATAGTAAGCCTAAGAAAATCACGCACGTCAAGGTCCTACACGAGCACACTTGCCCATTCACTGCAATCCTTATTATGAGCCACCACCACGGATGTGATGACGTGTCCGACCGTTCTCACTAAAGGGGTCCTGGCCCTTGTTACGTCACACGGCCAGTCATTACCTGTCATTCGTGAGCAGGTTTAATATCTACGAAGATTAAAAGCGGTTGACGTAAGTCCAGAGGTCAATAAAGCGACCACGTGGAGCTCTGGAAACCACCGCAGTCGCCTAAATCGCCATTACTGAACTGATAAACCGTTTGACCTACCAAATTAGACCGAAACGCCGCGGGTTCTCACAGTCGGAATGTAATGAGCCCGCGACTATTGGCCTAATGCTAAGCAAGCCGTAAACTTATATTACGAACAGATGTAGGCGTCCTTCTACACTTGGCGTAGATCACTTCCTCTGTCGGGTTGTCTTCGTTCCACGCGGCACAAAACATGGGTAATTTCACACAGCTATTGAATTCGTGTCGGAAACTGTTCGTATTCCAATGCCATTAGGAATCGCTGGCACAGCATCTTACATGGCCGTGATCCTACAGCGGCCACAGTCCTCAGACCAACTCGCCGGGTCCTGCCTGGAAGTCGTGTAGTGGTATATGCTGACGGACTGGCATATATCTACCGAAGTTGGGTGTTCAGAGCAGATGCGGGGCTATTACCGAGAATTTCGCCTGAACCAGTACGCTCCTTATCCTAACTAGGCAAGAGTAGGATGTACAGCGTGCCGTGCTCGTAGGGATACGCTCCGCAAACATGTCGCATGGCGCCCCTAGTGGACAAGTCCACTTGCTGCAACTGAAACACTCGGGACTCGGAACCCGGTGTTGTAATCCCAGCCGCCCCCTGAGAATTTCCTCCAATGACTTAAGAATCCATTTGAACCTGCGCAGTGTGAGGCACCAGGGCCGACACCACTCCTAATAGAGAACACGGCAAGGTCTCTTGGCGAACAGTCTGTGGACTCCGTATTAGGCTTATGATGGGCGACGTCGTCAACTACATCTCTATTCCGAGTTGCCTCCTTCAACAATGTGTCTCAACGCCGACTAGATTTGGGCTCTGGCCAAACCGTTCAACTCACATCGAATTGACTTCTCGGGGCCGGTACCATCTGGACAGGTAACCCTGTGAGGTTCAGCTGCGCATCATTAACACGGTATCGGGATGCATACTGGGAGTACGCCACTTGGGTAGAAACGGCAGTTCCTTTATCCATTTGAGACGCAAAATCTGCTCCTTACGTGATGCGAGGCAAGAAAGTCCGGCTAAAATTCAGCGCTAATGGGCCACCAGAGGTCCCGGTAGGACTAAATGTTTGTTCGTACACCCTCAGTAAAGCGGGGTCATAAATAGGTCGACCCCTATGATAAGTGCCTTGTAAAAGGGACAGCCTCCTCCGTTCAACCCAAACTTCGTAGTAGTGGTAAGTAGTCAAACTGTACGGCCATGACAGATCTCGAGTGGCCGGCCGCGCCAACGTAACTCCGGGACCCGCCAGTACCTGCTCTCGTATGTATCAACTTTTTTCGAGGTGATAGAACGCTAGGTGCCACACACCGTGGACCTGACTGCGCGGTACCTGCAAGGAGCGCGAAGGTGTTTCCGCACCGAAGCATTCTACTCTGAGTGCCAGCGATACAATGCCTAGTATATTGCTTGGTCGCCATCATCAGCCTGTTTCCGTTTATTCCCACTTAGCACCATGCGTGGATCCCGTCAGAAATCCTTCCGTCAATCGACTAAATATTTGCATGTTTTTTCCGGCGGCCTCAAGCGCTCCTGAATTCACGGCCATGCTTGCGCCAGCCCATCGGTGTCGTAACATCTTGGTTAGCTATGGTAGGCTTTCTCACCACGCTCACTTCGGTACGTAAACGAAAGATGCCTGAGAACAGACCGTTATAAAAATGGGCATGACACCACGAAACTATTCCCCTATTGAGACAAGTGGTGCGATCCAACAAATAGACGTATTGGCTGTGCCTCGGCAAGATACGGGGACATACAGGAATTGTGTGTCAAATCCATGTATCTCTCAAATCAGGATGCCAAGATCGTGGAAGAACCTCGCTCGCCACCTATTGACGTTAGCCCTGACTATATGCCGCTGCAACGCTGCCCCCTGAGGCAGCCCCTTAAGCTGCGAACTCTAGGATCGCTACATTGATGGGAATGATCGAGCCACTCTCTAATTATGAGCGCGTATCTATAACCAAGCATTGCGATCTGCCGGGCTTGCTACGCGCGATTCAGGTCACGATATTCATTAGCCCGAAAAGCGGGAGAGTTACAAGCGAACCAACTACCGAGATATACGGCGTTTATGCATATGTGAGAGTGCTGGACGTTATTTGTCCCATAACCCTCGGCGGTCGCCGGACTGCTGCCGCTATTCCCTCCGGGATGCTTTAAACATTATGACGCTATATAAGGACAACGAAACCGACTGTAGTTGATCGAAGGCATAAAGACGGTTGACTTAGTTTCCCCCTTGCATGAACATGACATCTTTTGTATCATGCGCCGCTCGATAAGCCCCATCGGCTATACGAGCGCGTAAGACTGCAACAGCATGGGATTAAGGGCGAAAGAGCAGACCCCAGTAGACTTCGATGCTGCAGCTCCCGCTGGATGTCACGGATGTGGCTACTTCGTTATTCTTGCATGGTGGTTAGGGAAAGAAGGCTTGAGAGACACGAGCCTTACGGGAAGCCCCGCTAAGTAGTCACACGTGGAGGGAAAGCAGCTTGGCAGATATAGTATTACACCTAGGCACACCTGCGGACAATCACCGATACGGCCTTGAGCGTACGAAGGGGCCTTTGAGCGTGGCCACATGGCCACACGAGGACGTCAGTCGACCTAAAGCCTTAGGAAGGGTGTAATAGATAGATAAACCCGGTGGGGTACGGTCGGACGGCTTAATTTACCGCTGGTGCAATCACTTATCTAAGCGTTCTCGTTAGGACAGAGTTTCGCTGGCGGTGTAGACTACGCACTAACAAACACCTTAGGTCACGGTGAGTCGGCAGCCGGGTACCCCGTGGTGTTACTATTTAGCCCCATGCGGCACAGAGCGCTGTGCGTCCCTAGCTTGTGCGCAGGGAATTTAAGGAGATGGGCGAAGATCCCGGCGTTGGCGCAACTTGTGTGGCTGGTTTAAAGCTTGGTGGACTGGCGTAATAGGTATAAGCCGCCTCCACACCGGTGTGCGCAAAATGTCCGAGAATCCTTTTAATAACTCCCTATGCGTTGTGAGCGTGGTTTCCCTCCAGGCGTTTTAATTAAAGATGTGAAGATCAGGGATTCCGGCCACGGAAAGACGTCAGAATACAGGTGTATGTTTTACTTAAATTACTCCAGGAGCCATAATATTACCGACATTAGGGCCTGCAAGATTACTCCAAGCGCCCCTGTGATGGTCGCGCGGGGTTTCGCATGGCCCAACGTCAACTCTCCAATACACACAAACGTTCCTGATATCAGGACATCTTCAATGGGCCTGTTTCTAGCTTATAGCTGTATGTAGCTCTAGCACACCGACAGTCGAGCCAGCTCAAACACACTTAAGCGGAGGATAATTGTCATGGTTAAGGGCCTTCAGGGTTACTTTACTTTGGTGGAGCCTACCAATAGAAGTTCCGGCGCACGACATCCCAAGGTCTAATAGAGATGCCCGAAAGGTCCGATAGCGCTAACAGAGAACACCACTATATGACATTCGCAGACGGTGTAATCGCTTCTGCATTCTCGCGCTCTCTGAGCACCCGCGTGGGGAGTCCAGTGTACGGTGTCCTCTTTAATGCCCAGACATCGTCCACGACGGGACCACTTGGATGGGCTAGAGTAGTAGTGGGGTTCGAAACATACTTCCATTCTGACGTTAATGAAGCTAAATGCAGGCCAGCCTCTTCTTCTGCCCTACCAGACCGTAGTTTCTCGAACTAGTGGTTATCATATGGTATGACGTGGTGTCGGATTAAGAGATCACTCCAGATGTTTTGGGTGATTTTCTTATGGAGAATCATCACTGCAACAAACCCGCCTCCACTCCAGGTTGGCAGGCGACCGGTATAATTACCCCACGCCGTCCGTATTGATCTGAGAGGATTCAACGTCGTTGCGAAACATTTGTGTGAGGGTGAGAACGCATTTTGTACGCTTTCGTCCACGAGATCCTCCCGAGTCACGGTTTGTGTTCTACTAGATCTGATAAGGTTTTAGCGGAGGACCGAACACTAGTTCTAGCGTGTGGTGCGACCCCCTACTTACCAACCCACGTGGATTCTGCAACCGTCCTCGATAAGTTTAACGTTAGCGAGTGTACGCTGTCGTGCTTTGCATGAGTTGGAGGCGATGCTGGTTCAACCGCCAAAGGACTAACAGACGGTATTGAGCCCGCTGGGGACTTATTCGCCTGAGAATTGTGACTTAATATGTCATTTATTAACGGCAGTGCGGTTTCGAGGATAGAACTTTAACAGCGAATATACTGTTTGCTTTCCGGATCTCATTGGGGTCGGACCCATCTGCTTAATTGAGGCGACTACCCCACATAAGCTCCATACACGGTTCTTGTCACAATAGCGCCTACACACTATGTACCGGGACGAGAGGATGGTTAGTCCTCATGTTTCACATGTAATGCGACCCTTAGACGGGCCTCTGAAGCTTGGGGCGTCCCGATTTAGCCCGACTAGATATGACGGGTTCAACATGAGTTTAGACCGCTGCACTCACCCTGCCGCACTCAACCGGGGCGCGCTCGACAACTGGCCAAGTCATACTGAGACGCGTGGGCGAGAGTGCTCGAACACCACCGTGGCTTTAATCGGGGTCGTTAATACCACCAGGCAGTTTCACCCATATTTTACCACCAGCTTTCGTACTGGTATTTTGGTCTACGCCAAAGCTAAGGCGCCTGTATCCCGAATGCGACGTCTAGGGCACCTCCCTGTCGGTTGATCCCCCTCTATGTGTAGGGGGCCTAGTTTTAGTAAGCTATGGCACGATTTATTTCGAGCTCCCCGGGTGGGGCCAGACAACGGAAGGCTGAGTAAAATAGGTTACCCTTAGTTTCCGTTGTTGTAAGCTATACCGGGCGTACACAACCATCGACCGCTTGAGTATAGCAGGGGACTTTGCAGCTAACGTGTAATATATTAACCCAGCTTTGACCGGGGGCTTGTTCAAAGCATACAAAGACCTATCCCTTTACCAAGCAGGTTTTTGAACTCGTGGTTGAGTCCCCCGGCCTTATGCACCCATACCAGGCCGCTGATTTTGCCTTCGGTGTCGCACCATGCGTTCTGTAATCATGTCCGGCAAATAGCCATTTGAGGATTTATGAACTTTCGGCACCCCTAGACGGCATACATATACGGGTTCGTATTGGCAATTCGATCGCCGCCATCGACCTCAACGGCCCTTCCTGTACAAGTAAATTGAATTTTCGTTCGAATTCGTTAGATAGACCGCATCTGACACAACTGTTTTAGAGGAGAAAACTGCTGGGATTCTCAATATTGTCATCCATCTAGCTTCCGAAGCGCGCACTACTGTAGATTACCGTACATACACGCTTTTTCCGAGGCCAGCGCCCGACAATATTACGACATGTCGACCCGCGTATTAAAGCGAAAACCGACATTCATTGTGACGGACCAATCTACATAAGACCTTGATATACCCTCCGGGTACACATCAGCGTGTGTCTCTAGCGAGACTGCATATCCGAAGTAGATCCCTGCCCACGATCCTTCCCAGACGCAACGTAGACTGATAAGGCTGCAACGGACCATTAATAAAGTCCAGCACGTGCGATTCGCTATAGTTACCCCAGGTGGGTTAATTCGTGCGTAAGGCTCCCGGAACAGGGATCTAGGGGTGCATTGTCCATGGGACCCTTTCATCTACGTCTATGCAGAAGCCCTAATATGGCGCCTCCTTAAGTCTCAGAGACCTATTAGCTCTCAAATCCGAGTCCCTCGCCGCATAGACAGGGTACAGGCTAAAGCAAACAGTGGGGCTAAACATGTTTTTTCAAGTGATTAGGAATCTGCTTCTTCCCAGTGACGACGGCAGCGCTTGAGCGATTATCCACTAAGGATATAGTTTATAATCTCTGGGAAATGAATAATATCCCATGCGCTTGACTAAAGGAGATTGCGGACCCTAGGTCTCTTAACTTCCAAATATAGACGAAGTTTTAAGACCTATTCTGTGATGCGTTGGACGTTTATACTATTGTTCTAATGTAGGGTAAGCTTTTGTTACGGGGGCGATCTATACGTTCTCGCCCGCCAACACTTGGGAACCTAGAAGTGCCGCAGGTTTATATATTAGTCGATGCGTCGTAATTAGGCCTGCTTATCCATAAGCCGAGTCCGTGTAACTCCCTAGGCGCAACATTTCCGAGATAGTAACGGTCAACTTTCGCTACTGCGCAATCTGGTACACGGGCAGGTTTCATGCTCCCGATTTAGGAACCTAGATCAATACATCGGCCCGGCCTTCCGCCCTTAATGGCAGTCTTGTATAGTTCGACAGCCTGTGCGGAACTGAGGAGCCGAATTACGCGCCCGTATTTTAGGAGGTAATAACATTGCGCATTGCACCTATCCCGCTTCCTCACACTCGGATCGAACCCCAAGAATCGAACTATGGTAGAGTGGGCTCGTGCAGCTGAGGTGGCGAGTGCGTAACGGTAAACAAATGGAAGAACGAACTGTAAAGAGCGTTACGACATAGCACATACCACAAGCCTGCTATAATAGACACATCCCCCACTGTGGTCGCCCATCGAACCGTATTTAGTATCCGCGACGGCTGACTGGTGGTAGGGTTTATCGGGTATTGTCCGGCAAGTCTGGATTTCGTAGGCTTCGTTCACTATTGCGCCGTACGTGCGTTTTCACGTCGAGTAAGCCGATCGAACTAATTGGGCTGTCGGTACCCACAAGGTCCGCTGCGGGTTCTTCATCTCTGGCATCTTGACTAGGCGCCTTGTACCCATCCAATAATTCAGCAGCCAAGACATGTCAAGATCCGTTGGTTTCTCAGGGGGCGATAAAATGGTTAGTGGTATCGATAACGGACGCAAAGAGATACAGTCCGAAGCTGTTGTGGCAGCGCATATATGTAATCCGAGAGGCGCCGTCACTCACGAGCCTCTATTTCGTACTACGTAAGTCGCGCGTTGACGCGAGGTAAGCGCAGACCGCGATTGTAGTGTCCGCCCATATCTTTGATGCCAAGTAGCCCCGCGTTCGGCTCTGGGTTCCCCCGACCATTCGTGCACGTAGCGAAACCAATAGATGCCGTCCGTATCACGCACCAGGGTATAACTACGAGAGCTGAGAACGGGCCCGCCTTAGTCTGCTAAACACCCGTCCGGTTTACATGCAAGCCATAGAATCAACGGATATCTCTCACATCAGTCGGGTATATATAGGGACCTGAACTTGATCAGTTAATCAACACCATTGAGTTCCCACTTGTAAACTATCCGGAACCCCAGTATATCAATCAAGCAAGCCCTTAAACCTTTCAGGCCAAATTCTGAAAGATAGACTCCGATAGTTACAGAAGCGACACCTGGACCACCGTGGACCACCTAGTCCGGGTCGCATGCCACGGAGCCGGGGCATCACGATGGAGCTCGGCAGTACGACTCATTTGGTTCAACTCGCTATGGATTGTCGCCAAGGTGGACATCGGGTGCCTCAAATCGGCACTCTCAGGCCAAGCATACTTCTCCTGGTCCGTGTGTTAATTTCATGCTGCTTCGGGGTGATCCTGCCTACGACCGCACTGTACTGTCTGAAGCGACGCCCTGAATAGGTAGAACTACGCTTCCATCAGGATATCGTCGTCTGACGCAGCAAAAGTGCTCATAGCCTCCATTGGTAAGACATCTGAACAGCAACCGCATAAACACCCTCCATTCTCGTCAGTCTGGCATGAGGTTTAATCTAAGAGGTTCTTAACTACGTGGTCGAATGTTTCATGACCATCTGTGGAACGTGAAGTGGTGTACGCTCCAACGTTTGGGTAACACGTTGGTTACTTGCCGGCATAACGCGAGTTATAACGGAAGAACGCATGCACCGCTTTCAAGATACTTCGCTTTAGTATCACCCCTGGAGGGCAGTTTGTCAGTGAACTACAGGATGTGGACGCGGCTCTAATCTATGAACCATACAGGCCTCGCTCTCCCTAGTACGTTAACGCAAAACGAGGAAGCTCTCCTAGGAATAAACCGCTGACATAAACCGGCTAAGAGAGTTACTTGTAGAATAGCAATCATGTGATCAACTGCATATACATAACCGTATGGCATAACATACACTCTACCCTACTGCCTCTATGTGTTCTACCTGTCAAACCCATGACTTTTCCCTACGAATCGTGAGTGGGGATCGCTCTCAGCTAATATCGTAGAGTCCAAATCTCGGACAGTATGATATAACGACTCCATCCCTACTTAAATTGGTGAAATAAGCGTAAGTGGATTCCTCAGTGGTAGATAAACTCCAGTAAACCATTATTTGATGTTTTTATAGCGTCTAACAATCTCGTTACAGCCACTGATTGAGTTTCAACGGGAACTTTGGATGGCAATACGACGGGGACTGCAAGGTATACCTTGTCACACGTTTACCAGCGTAGACCTGAGCGCAAAGCAGTGTGGAGCGCTGTTCGAATAGCTTTCTGGTGCGGAGCAGCACAGTTCCTGGGGAAAGTACAGACGGCCGACGAGCATACCCCATCGGTCCCTAGCAGGAGCCACATCAGTGTCCAAGCCAGCTTGCTACCGAAGGAACTCGAAAACCAGTTTTTGTAGAACTTGCCGTACATTCTCGCAGTGCAAGGTCTTCTAATTCTTCCCTGCTGGCGAGAGCAAAATAAATCTCGCCTGACGAGTGCCAGGCAGGCTACAGGGGCCACAGCGATCCGCCGTCACTGTGAATCGAATGTATCACCTTACCCTTGGACTGCAGTGGCGAGTATTAATTGGGTAGGTCTAGCGATCAAAGCATCACGCGCGCCGAGTACACCCCCGTTATACCCTTAAGCGGTTGCGTACTCTTAGCGCCGCCGTAGAGTACGCTTGGATTCCTCCGAGTGCTCTCCTTCTAAGTGCTTGAATTATACCTCTACAGCGTTGCCTCTGCTGAAAGCAGGGCCTGCGACCTACAAAAACCGCGCCTTACCACTCAGCCTATACAGAATTGAGCGAGGGGGCCCGGGTGTACAGGTGTGATGATTCCACCAGAACTTCCAAAGGGCGGTAAACGCGATCTGTAGGCCTCATGGGTTGACAAGCCGTGAAAGTTATAGGAGGTGAGGCTCCAGACCGAGAAGCGTTCTCTCGAAAAGCTCGCTCATAACTTGGTGCGCCCCCCAACAAATAAGAGCCCTCGTGTTTCGTGCTTGGCTATTCGAACTATTTCGGACTTGTCAGGCCCCAGACCGCACTATCTCGTCGCCATCGATGCGACGACCCCAGATGTATCACTTTCCTCCTCGATACGTTTAAGTGTTCCCCAGAGTCAAACTGGTTCTTGCAGGGAAGTACCTTCGTGCCTCGCGACATAGTGGACCCATACGGGGGCAGGACGTTATCAATCTGCGGAAACGTTAGTCGTATCGCGCTACGGACAGTTGTACCTCAAAGATGAACAAACAGTGAGCTTAATGATTTGCAATGTTACGGGCTGTCATGGCCGAGCTGTGACAAATGGAGGTCAGGAGCCGTACATACTATCCGCGATCAATCGAAATATATTGGTATCAAAGTCTCCCATTTTGCGGATCTACCTATGAGATATTTTTCGCTACGATAGGCTTAAGGTAATGAATACTTGCAGCTACACATGTCTTCTGATCCTGGATTCTACTCGGGTCAGGGCGTTGGGTGCATAGTAACGCGCACGGTGTATGACACGACAGCAAGAGTTCGGGGGCAACATTCAGCATGTGGGGCGATAACGCAGTGTATAACAGTGCGCAACAGAAAGTAACATCCCTATGCTGTCGCTATATTAGCGGTTGTATACACACCTGGGACCTCACGTCGGCGGACATCCACACTACCTCAAAGCTGCTGGACTTGGCAAGCCAGGTTTTTACGCCGCCGAATAAATATATTTAGGAGCCAGTTAAAGAGTATACCGGGTCAGATTGTAAGGGTACGTCTTAGAAAGGATCTTTGAGCACACGAGAACTTCCGTTCGACGTCCCCATATACATAGTCCATCTTAAGAAAACCAATCGTGGTATTGGGCTGGCTAAACTGGTTCCACAGTTCTCCGGAATTGTCTCCTGATTTGAGTACCAGTGCTCTAGGGTGGACTCTACCTTTGCCTTGAAAACAGTCTGGGCTGCTGATTTCGATAACGCGCCTTGAGGGAACGCGCGGGTGCCCCTTTTTGAGCATCTAAACAGGACCTTAACACTTCTAAATTCCTACCAACGGTCGTGACTGTTGGGCTGACTCGGAACGGCTACTCTACGCAGTGCCTTGATTGTTCTTAGGTAGACTGGATACCGTGAACCAATCTGAGAAAGCTGCTGCCACGGTGTAATCAGTCTCGGATACATCCTGTGCACCTAAGGCTAAATATCATAGGTAATAGCTGTCCTGTGTCTGTCTTTCAACAGGCATCACCTCGATTACCGTACAGATTGTTACGGTTAGTATGTGCCCCATTTACGACCCGCTGATGGGTTTGCTGATCATCAACCTTGGCATAGCGGTGCAATCCCATTTCTCTGAGACAGAGCGCCAGACGCGCCGAGGAACAGAAGTATGAAGCGAGTATGGCAAGTGATAGGCCGTAACGATGCTCTGACCGCTGGAAAAAAGAAATCTAACGGTCTAAAAGCGAGCTGAGAACAGTCAATCCTGAGGTGACCTGAGTCAGTCGACAATATTGGGCGGCCAGCGGGGCCGGGAATGCTTCGAATACCTATTTTCCTTAGGCTCGCCGGGAGCCGACAGCCAACAGAGCTCTACTAGACCGAAGCGTGTTTGGCCTCTGTTGTCACGCATCATGCTGCGTGACGATATTCCCATCCGGCGGACCCTGCGGTCCATCGCTCCAGAGTGATCACCAGGCAAACTCATATATGCGGTGCAGTGTATATCTACCAGCCTGTTCTAGAGTGCCGATTACCACCGTCCGACGTATCAATGCAGCTGATCAAAGGTTATGTTGTACCGGCATGACGGCTTTGATATTGATTTGAATGGCATGCGGTTTGCCACGATACGCCTGGGTGAATCTAAGCCTTCACTACTTCTTCCCTAACTGCGTACCGAACGACGTCGGGCCGTATTACGAACGGCTCCATGTACCCTCGTCACAACAATACGAAACACACAGTCCCGGTGATCAGAGGAGTTATGGCCACATCCGCGATTGTGGTAGGTCTTACTACCCGCGGTTCGCTATTACAGGTCCACTCTCGAGGCTACATTAATAAACAGTGGGCTGCCCAACTTGAAGGTGATTTCAGGTTGCTTTTTCTCATAGGAGGTTCCCAAATAGGAGCCCGTGACCAGGATGCTATATATTAGTGGCAAGAGGCAATATTGTCCCCTAAAAGTACAGACCACGCATAGTTCGCAGGGCCTAACGGGTGCCCGACCTCAGAGTCACTTGTGCATACTACCCAAGTTGTCTTTGCCACCAACTTCCGGATGGGAAGATCGCGAGCTGGTCAGTACTAGTGAAGGTCATCTCCAGGCAAGGGCTAAACTGTCCTTGTCTCCCAACACGACTGGCTTGCTAGTTGACCATTGTGCTGATGGATACTTCTCGTGCACTGGTCCCATACAAAGGTCCTATGCTACGTGTATAATAATGTCTCATTAAATGCATGATACGTACCTCATATGAACTGTCCGAAATCGTCCGTATTACTTATAGGTGTTTAACACTAGCCCTGGATGATGCGTAAGACAGAAGTGACCAGGTCGTGCATATCTACCTATCGTTAGGCCTTAATAGGCACTGTGTAGAGTGAAAGTCGTTAGTGCTCAGGATCGGCCTGTCATTACTCAAGGGGATCGGGCGGCCGAGTGGCATATATATGCTGTCACCTCTCTCGGATGTTGGTTGGTAGTAATTCGTTCGGTAAAAGAAGGGATCTAAATGGGTATGCCCAGCTCTAGGCGTTGTATCGAGCCGACTGAGCTGTAAAGCAGAGACCAAGGACTCAACACGGAGGAGGCCTAGCAAACATGGTAATCATCGTATCTTCGTGAAAAGAGTCCCCGTTCTGTCTTTTCGGCGGGAGCCGCACTAAGAACCGCAATATTCACGCTTTCAGCCAAGGCACATATGACGGAAGAAGAATGGTACGCATTGCTCAGAATAACGACCTTGCATGTTTGTCTTTAGTATTGTACTGGCTGAAGCTTGTGAATCAAATAAGGTACTAATTTAGGGAATATTTGTGGCAGACATCACTACTAACAGTAACGTAGCTTGTAATTGTCAGATTTTCATACCTGTGCTGTCGATGATGTTTGAAGCTGAGGGTGAAGAGCCGGAAACGAGCTCCCTGTTGCTTACTTTGCAGCCGCAGATTTCAGAGACAGGGGGAAACGCAGAGTTAGTTGACATTTGGTATAGGATTCCAGTACGAGACTAGACTCACAACCCAACTGTACCACAGAGCACGAATACATTACTCCAAGACAGTAGGTCCAGTCCATGGATGAGTCCAGATCGGACGAACCCCGGGTCTTTATGAATGCGCTCTTCTTCACCTCAACCAATGCCCACAAGCTGTTCTCAGTCCGTGGCGGAATCCCCTGATATTTATTAGGTGGAATGCGCCTGAATGCTACCGCTGCCGAGCACTAAGCATACAAGGTTATACAAATTAATTGAAAATCCGGGCAGCAGCGATGAGGTGTCTATAGGATATGATATCTGCTGAACCAGGCAAGTTTGAGCGGTTCAAATGAGGATACCCGTCGTACCCGGACCGGGGCGGTCTTCTACGTTGGATGACCTACTGTCTCGAAAAGCCTGGCATAAGCGGGTCTTGCGCTCCGGTCGGTAGGGATAGGATTTATGTACTCCGTACCCGTGTAGGTCCCCTCCGGGTTGTAATCCGAATGGGTGATTGGAGATAACGCATTAGTAGGCCCGAGTCGCAAGTGGCCAAACCGCTCCAGCTCATGGTAACACCGGGTTGTCCATTTGGGACCCCACATGATTTCTGCGTAATCAGGCGTTGGGCTCGAATTATATTTGTCGCGAAGGATCGTCCAATCCTGGCATCCATTTCACACTATTCCACGGCTCACGTGCCGCCCATTGTTTACCCTCGTTGGACTTGCTTAAGGACAAAACCAACTCCTGTAGGCGCACTAGGGCTTGTTTTGGGGTTCAGTACGTTGTCATACGTCTGGTGTAGGTACTTTTTGTTAGGGGTCGCCATCGGTGGACGCGCAAAACTTGGCTCCGGCATAGATTTAACATGCCCGTTTGATGCTCCCCGGGTAGCTACTTTAGTACAGATCGCACCGACAAGTACCCGCATTGTCGCTGTCGGGGGGGGATTCCCGTGAGACTCCAATCGAAAGGCCGTGGGCCCTCTAGTGCCGTCAACTCGATCAGGGGGTGTAAGTAGTTGGAAATGTCAGGAGGTATACATGGAAATTTATGCACAACGGGCAATCTGGGGCTCCGCTGACTATTACCACAGGATACCGTACTTTCTGTCGTACAATTGATCATAACCTTGTTGGCGTGCCTTCTGTAGAGAATCTGGGAGTCGTTATAAATCCCTAAGCGGAACCCACAAACGTTCGGCGTTTTATTAAGCCTGCTAGCTAGACGATGCGTACATGCCGAATCCAGGAGCCCGCTAATAGTTTGTTCCTAATCAAATGGAATATCACATCCCACAGAGCCCTATGGTTGATGTTACAGTATATTATTCGTGACAGACCCGTCGAAGTACGAGTATAAGGGACACACATTATAAATACAATCCGATGACTAGCCGGTCAAGTCCAAGTTCAGTTACGCCCCATCCCGCAAGTCAGAGAGGGGCTTCTCAAGACCTCTACAGCATATTAGTCACGACTACGCCGCCATGACCACTTTTTGACCGCTCGTCTTTTGTCCCCGGTAAATTCAGCGTCAAGTGGAGCATGTGGAGCGTGGAGGCACTCGAGCTTTAAGCAGAGTTCTTTGATCCAGAGCACATTACTGCTTTAGTTGGAATTCCGGAACGTTATGTCATTCTGCCACGCAGGTCGGAGCACAGTCCACATATACGGCCACACCTCCGACGTCGAGCGCAATTAGCAGGCTGATTGTTTCGCGAGTCGCCTGCTATCACGACGCTATTTTTCAGGACTGCTTACCCTAAGCGACTGTGCCACAAGAAGACAATCTCATTTCCTCGATGACCTAAGAAATACCCTTCCTGGGTTGCATGGTTGTCCGTCCGGTCATTAAAGTCCGCCCGGACATGCGTGGTTATTTATCGAGAGAATACGTAGTTGGGATGCCGGGCGATGGGTAGCATAGCGCATTAATGTCGGACCAACCGCCACCGTGATCGCGCGATGAGTTATATGCAGTTCGTAGTGGCCAGTAGGTTCGTGTAACCATCTGGGGCGCTGCCCAATATGACCTTTAGTGCCAGCGACTGTTGCGGCTATGCTCCAGCGCATTTTCAGACGTCCGATCAACCTCAAACAGACTACGGAAATAGGTCCCTAATCCACCGCGCGTTTCTCTGTATAAAGCATAGTGATATGCGAGTGTCAGCGACATTCCGGTGGACCTACACACGGCGAGCAGGCTCGTACCCCTACATTCGCATACGGTCCCGTGCACCGCCTAGACCATGTGAACGTCAATCCGAGTTCCCACTTCGTTCGTGTACCAATTCCTTGGGCCGGCTTATGATTTCTTCCCCAAACGTGACAAGCTGTGCGTATGCGCCCCCGACGTCTTACAGCCCGTATGGGAATATTTACAGCGATGGTGACTGAGATTAACTGCTTAGTCACGAACGGAAGGAGTTATCCTGTTCTTCCGAAGGAAGAGCATATAGTACTTTGAGGTGATCTGGGTAGATCATAGCCCCTCCGCTCCCTTTCAAGACAGCTCTTCGGGTTCGAACAAAGATTACTAAATCATCTGCGAAGGTGCCATCTAGTGTCTATATTTCTGATGGGTTGGGTCTCGTCACTCGCCTCTAACCCATGTATCACCAGCTCTGCAGGCGGACGCAGTTTCTACATACTTAATTGATTGTAGTTTTACATGCTCTGGTAAATCGAAAGGCGGTAAATTAAACGCGGACTCAGTCATACAAATCGAATGGTTGAGAGATCCGGGACTTTCCTCCACCTCTAATGCTTGCGGGAAGGTAGGATAGTACACCCAAGTAGTTCTAGTGCTCGTATAGGACTGGAGTTTAACTGCGATCCAAGTCCCGACGCAACTTCTTGCTTCGTTTCCTCTTGATACAGCCCGTGACGTAACACTGATGACTGTTTCACCTCAGGGGGTCTCGTCGAGTGTGTGCTGTCGACTCCCGTCCGAAACGACGCATAGAACCACTTGTGGCATGGTAACGTCCGAGAGCAGGTAAGGAATTTTGCACCCACGCCCGCTGGTGAAGAGTCGGAGAGGCTATGTTTTTCGCAGCTACACCGACTGTTCAACACAACGAATGGGGTTTAACTTTATCCCTACACCCTTCCGTAGATGCGTTCCCAGGTCAGCCTAACCGTACGTGGCTGGGGTCAAACAGCGAACTGATGGTCTGGAGGAGTATTGGGTGAAGCGAGACGGGCTAGATTACTAAAATGTATGTTGGACTTCAGTTATCTCACGGGAAAGTCGTAAAATAAAAGGTGCCGACGCTGAATCGCCTTTCCATGTCTTGACTAACCGTCGCCAAGATGAATATTGCCTTGTCCCTACGGTGTGGAGAGCCCGTCACAAGGCAAGGGAATTGTGTAGTATGTGAAGACTTATTCAACTCATTCGGGCGGTTGCGCTTGTCTCGGGTTGTGAGAAGAAGCGCACCAGTCCGTATCGTGTGAGTTTTCAGCGCGAAGCCGCGTGTTCTTAACGTCATTGGGAACTGATATCGCGCAGTCGTATCCTCAGCGCGTCTTTTTTTTTAAACAAATGGAGCGGTAGTTGGGCTAGTAGGTTAATACTGTCTTAATGCTTCGTCTGAAGGTTATATCTTAGCCGTGATATCAGAGATGGTGCGCGCCTATCGTGCTGGGGGCTTCACATGCCCTCGATTTGGTGCTTGACTCATGTAGGGTAAGGTAGTAGAAATTTTTGCTAGTGTCGGTTATCCTTATTCGCCCAGAATCCATTGCTTATCGCCCGGCTACCGCATCACTGAATACTTTGACTAAGAAACTGACCGGTATCCGGGCAGCTTTCGCCCTCCACTCGGTACATATCACCTGCCAGGAATCCGTCTGAATAACTAGCCAAGCGACTACTGGCTGCTGCAGACTTTTTTTTCTTCGGCTTGCAGTCCGCTCGTCCGCAGGACAGGTGTGTTACACCTCATGCAGCGACTCGGCTGAGGGAACCCCAGGGGGTTACCGATTTGAACCGAGCTCAGCAAAAATACCCCCGAACATATCGATGTCTGTTAATACGACTTTTAGAGTAGGTCCTGGGCAGAGTAGCTTAATTATCGCGGTCTTACCCCTCGCCGATATGGTTCCTTTCCACTAGGCGTAGTAAGGTGTTAACCGATTGGTAGCGTCCTGATAACAGTAACATCTCTACCGACGTCAATTGTTCCCCGAATTGGCTAGGAGACTAAAGTAGATCTACACCACGTTTAGATACAGTGATCATTTAACATAGTTCCTGTATATGAGTGAGTGACGAGGGGAACGGACGCTGATTGTAAGCCTTACTTGATTCGTAGACCTATACCTCACCGGTGCCTAGAAGGTGAACTCGCAAAGGTTTGGGCGTGGAATCGCTTTGACGAAAATTGCCTTGTCTGGACACGCGCAAAATGTATGGTCGGACCCGCAATGGCCTGGTTCTCTTAGGTGCGACGTGGACCGCCGATTAAGTTCGTGCTAATGGCCTTCAGTTCATGGGAGATGCACAAGCGACCTTAGCGTATGTACCACTAGCGAGAGGTTGTATTCTCTCGAGAAACCGGTGAAACCGCCATGTGCTGTCTACGCACGGAAGATGGAGATGCCGCACAACAACACGTAGCCTGACCTGATTTGGACGTGAGATGACTCAGCGCCCAAGAACACCTCACTAACCCAACAATTACGCAAGGCCTCGGATCCAACAGCTAGAGGGAAATCTAAGTGTAAGTAACACTCTGCCTGCAGCCCTCAGTGTCTGCGGCTTCCTGATATTAGTGGGAGCAAATAAGATTTTAGGGTGCATTCGATAGCTCAAGGGAGCCACTCGGCTTTACTATGCTCCAAGCGAGGCCAGTCACTGTGTACAAGGAAGCTGGGAATCGTTCGGCCAGCGGGTAGTCTCTAATGGTGCCATGCAACTAGCTCCGTTTTGTGGACGAATAGAAGGCAGTCAGAATAGCTGAGTATAGAGTACGGGAAAGTTAAATGGAGTCCTGTCTTACTGAGGAGTCACCCGTTGTTCTAATACCCCTCTCGATAACTTTTGGTGCGTGTCGGTTGCACCCATACATGAACCTGTTGCGAGAGAAAGCACGAATTGTCGTGAAACCACTGTTGTTCCATCGGTAGGTCGCGCGCTTCCCTCAAATTGTGCGGCAAAAAATTTTCTCCAACTGGTTATAATTGTAGGTTCGATATACGTACGTTGGCCATTACGCCGGGTGACGCCCGGGAGTAATAATACCACAGTCGGGTACCGGGTAACTTAAACGATTCACTTTGGTTGGCCAAGTTAGTATTCGGTTTATACAAAGGCTTGTGTGCTAGCGTAACGAAATGCGGGCTTTTGGAATTTATTCCGATGGTTCTCGACTCATGTTGTAGTGGGGCTACGGGGAGATATCCACCTGCAACTGGAGATTGGACATGTAAGGTAACTCAGGTGACATTAATTTTTGTGGAGTTTACCCCAGATAAAGCACAGGCTCGTCTGGGATAGCTTTCCAGTTGAATTAGCAATTGAGTGCCATATTTTGCTCAACGAGGGAGGTTTAGGCCAGGTCTGACGCTCGGTAACATCCCTAAGATTGCGCGCGTCCTAGCTGAAGGTTCTATCCTGTAATTCAACTCAATGAATAGAAATACTTATTTCCTTCCCCACGCAGGCGCGGGGTTCGACGATATTTAGCCGTTCGCGCCGCCGCGACATTGTATGGATATCTCTCGTGTACTCACCGATAAGGAGAATACGGAGATGCACAACCCCTGCAATGTTGAAGATAAAGGTGGAAACCGGGATACTTACCGTCGCTAGACATTCTCGACAGAGTTGGGTGTGCCAAAGTAAACCTGTGCTCCATGTTAGATTGCCCAGAACCGTTCAAGGATGCCCATCACCGCCCCATCTCGGACTCGCCTCGTACGGTCTAGCTAGATAGCTACGACCGTTACCTGACGGGAACTACTAATGCGGCAACCTATCGAGACAATCGCTAGATGGGGGCAACCAACGTGGATATATGGCTGCGGGACGTCTTGGGTTTTTAGGCGGTGGAGGGATTCATAGGAAACAAGTCTAGTACTGAGTTCCAATTGTAGAGATTCGGCTGTATCTGTCATTTGAATTAGTCAGTGCATTACGGGTTCCAGCGACCCGCGTCCTAGGTGATGATCAGTCTAAAGACTTGGTCCGCCAGCCCAAGAGTGACCATTGACACCCGGCGTGTATGAGGCAACAAATAACCTTTTACCTCCTGGACGATTTTTAGGGACGACCTACAAAATATTATGGAGGCGTCAGCCCACGAGCGAATCCGGCTCTGGCTGGCGACCCACGGTAAACATTCCGGGAGTTCTGCGCAGGGATCAAGGACACCTAACTCTCCATGGGAGTCGAGCGACTCATGATCACACCTACCCAGTCTTAAGACAGCGGCCGCTTGGACACCTTTCTCCATGTTTCTTCGATCCTCAGCGTAGGTAATGTGTGCTCCGGCCAGTCATGGTGGTGGAGTGGACTGATCATCATTTGCTACACATTCCGGCTACTTTTCGGCCGGTATATGTAAAGAGCCGATACTCATTGGTGGACCAGCCGAGACCGGAGACATTACTGCAGCGTTAGATGTCGTCGTAAATAGTTCACCTATATGCCCTAGCTAGATCGTGCCCCTGACTCGCGCCTGCATTGCGCGTGTAGTACAAAGCTGGATCTACCAGATCCCGGCAACCAAGGGGGTTTCTTAACCCACATGGCTTCCTTAAGATTCCGGAACACTCCGAGAGGTGGCTAGGGGCGCGAGTGCGCACAGCCGATTCGACACTGGGAAGCGTATCCAAGACCAGGTATAATCGACTCGCAGAGCCAACCCATTGCGAAATAAATATGCAGGTAAAATGATACTCTCCCTACAGGACAGACGCGAACAATCAACTTCCAGAACCATAGTGAACACCGAGTAATTGGTCGGTCACTATGCCATCGAACCGGCGATATGTGTCCCTTAGACTAAGTAAATAACATCGTCGTCCCCACTCCGGAGACGCTGATTCTCTGATATGTTGTAACCGAAGACCGGGATTGGCGCGCCTACATGGCCAATTATCTGCCAGGGTTCGCCCTTAAGGTTGGGCCAATGATGTGATTTGGCGGCACACTCTCACTGCCCTAAGAGTCGTGCCAGGCACTATCGACGTACCAGGGGTCGGGAGTATTGTAGTCCTATTGGCATCCGAGCGACTTAGACAAGGTGCGTCCCTTAATAAACAACTCGGAAACAGTATACAAGTGAATAGTAAAAGCTGTTCGTCTCTCCAGACGACCTTTAGGAACATCTGGTTACCGAGCAAACACCATTAGGGTCGTTTCCATTGGACCTATGTAACGTTGCATATTTCCGCTGCCAACGGGACTCCCGTCATTTTCGAAGGCTGGGGTCTGGTAACGAACCGTTATACCAATGGTTATCCATCAACATAGCTTAGATTGAGTAGACCGCGAGGCAAGCAATAACCTTCTTATCATGCCCCTAACAATGTATAGAAGTTCGTGGCGACACTCTATCATCAGCGGAGCGCCTGACTGGTAGAGTTCAGATTTTCTAAATTATTCATCGGAGGGTTAACTTTAGTTTATCTATTCTCCACTGGCGTTGACGGCTAAAGAAGTGTTTTAACGCAGAGATATCTACTACTAGGGCCCTCTACCCATGGGCAGGGACGCTTTTCTAGGGTATAGTCTCTGCACCCATTACCCGTTCGTTGGAGTTGCCAACCTGCGCTTGCAGAACGGTTCCCGGGATAGATTGACTATGGGAGGTCTTCATCCACGCATTGGAAGGGCGCTAGGATAAGATCGCAAGCTGATAGAGGTCAGCTGGTCCATTGGAGGTGAATCCTCCTGAGGTCCGAAGTTAGCAACCATGCCACGGGTCGAGAGTTAGGACTAATGACACCCAAACGTCGCAGTGTTCTCACATCAGTACGGGTAATCCTCCCCAGCTCGAGGTAAGATTGTAGAGTCCAGGACGGACCCTGCTGTTAAAGGGATGTTTCTATGTCCGTAACTCTAAACAACGCCCACGGTGGTTACAGACCTATTCGTATAGTGAAATATAAAGTCACCGAGGATAGTGGAAGAAGCTAGACGGCAGAATGTGTTTGCGATCATCCACAAGGCGCTATCGGTCCACCCCCGCGGAAGGTCTCCGCCCTGGCCAGATGTTATGAGGAGCCTTTATTGTCCGGTGACTTGTTTGGTTTAGCTGTTTACTTGCTAGATAGACCATTAAAAATGCCCGCTGGCGATCCCAGGGATTCGTGCTTTATGGACTAAAGCCTTAAAGAACTCTTATAGAAAGATGTGGAATCAATTCGGCCTCGTCATAGGGGGGATGAGAACCATTTCGCGCCCTCACCTCATTCTTGTAAGTGGTACTTATAGCATTCTGTACGGAACACCTTCTCTGGTAAGTTGACCGTCACATCTTTTCGTTAATGACCAGCATGCGTACACTTCGACCGACGGAAACATGCGATTGGCGACACCTCGAACATGAACTTTTTTAATAGTTCTGGATTCAATTTCAGGTAACGCGTATTTCGATATATAGCAAGCACAACCTATAGCACATCGCGGCGCCAGAGTCCTCTTAACTCTAACCACCACGACCTCATCGGGTCCAACAGCACGCTGGTCGATGTTCATCTCGGTAGTGATGCGCGCTTTTACCAAAATAACATAACTCTGGGGACTCTCACTCGAAATTCTGGCACTTCATACAACCAGATCAGAATTCGGATGCGAACTAGCATAGCTGCTGCGTAGCATCCGAGATCCTCTTATAAATTTGTCGTTGCTAACCCGTAGCCGGCACGCCCAGTGTCTCTGATCCTGTATCATACCGTTGTCGACTGGTGGAAAACCTAAAAATTCGTGACACCGCAGATATCATCTGCCAGTTCTTCCTGGAGACTAATAGGGGCGACGGGCCGGTTACGATTTCACGCGACGGAGGATGCGTAGAGGCTAATGTGACAATGGCCAGGATTATGCCTTGGTCGACCAAGCTTCGCATGCCAAAAAATTTTGGCTAACTGCTATCACGAATTGGTCCTATACCATTTTATTGGCTTATGTAATCCCCTTTGCGCTTTCGAGTTCAGCTGCGGTGGTTATTTACACTTCCCCTGTTTTAACTGCGCGTCGTCGTGTCAGCCGTGGTCGTTCTCTGCCAGAGTTCTACGGGACGTGTACTTAGCCGTGAATACGAAATATGGCACCGCAGGCCCACTAGGTTATTCTCATTACGGCTGCAGCAGTGATTGGGATCAGCACCGAAGTTTGGCCCTCCAACGCTCGCTGCTACAAACGCTTTAGTAATAAAAGCAAAGTGGAGATCGTAGAGGATCCACACCCCGTTAGATTCTGCACTACCTTAAGTAGCACCGTCTCATCCAGAGTGCTACCAAAAGCGAACAGACTGAATATCGTCACCAGCGTCTTATAACCATATTGCACTGGGCAGATGACGCTCTAAGTAGTGGAGATTGAGTTGACTATGCGGCTATACGCCATGACTCAGCGCCTTGGTCGACTCCTGCTCACCCATTCTTGCCGCATACTTGACTTAATTGGTAACCCCATGAGTGTTACCCATGTCGCTTTGGTTACGCATTCATCTTTCAGGACCGCCAAGCAATCATACTGATGCCTCCAGTGGCAGTCCCGAGCCGGGGGAATCATAGAAGTCGTAGGGGGCGGGTACGGCCTCTTGTGGAAAACCGGCCTTGCCAGTGCCGGAGTTTATAGGGTTTTGAAGTGACGGGACGCGTACTTTCATGCCCCCGTGCTAAAAGACGAGAGGTCTGGAACTAACGCCAAGTGGTCTGCTTTCGTGAAAGGTCACCCATACCACTTTGGTATTTACTCAGTACCCACAATAGACAATAAGTACCTAAACGAGTACCTTTCTGCTTAGCACTAAGTCTAGCATATTTTCAAAACAACGATTACTCCCCGATAGCGTCACATGTCGCCACGGGTGTCACCTCCTTACCCATGTTGTCTACTACGGACTGCACATGCTTTCTGTAGTTTACGTCTGTTACCGGGCAAGCTTTCCTTCCCCGCAAGGCAACGCAGTACGTACACCTCTCACAATCGCTACCTTTGGGGGTATCCAACAACCCTTCGTATGGCAGCCAGCTATCTCTAATACATCAAGAATCCTTTGCCGCTCACATATAGCGCCGATTAAACCGTTCTATGCATATTGAGTTAGAAAGTTATTCGGAACTTATTATGAAAAGGTAGTGATCAAAACTCGAATCCAACGTAGACGTTAGCTAGCCTATGTTCGGTCAGTTGGGACTGCCGATGCTTACAGACCCATTGCGTATCATTTTCCCCTGAGCACCCGCTAGGGGTGTCACATGGCCAAATCGACGAGACCCGTTTCCAGCTTTTACTCCCTACGATGGACGACACGCATACCGCCTTGCGCTTGCGGATTAAATGGAAACGCGCTTGTGACTCCGCGCCATACACGGTTTCGTCCTGCCATTACATCAAGGGCAGACCAGTACACAGCCCGGCCGACAACACATGCGATAGACGTTGATGCAGAGGGTTTTACTTGCCTTAAGCGTTCATCACACGGGCGCTTAGCGGTTCGGGTAGTGGAAGTGAGTGATTGACATGGGTACGATGAAGGCTTGCTGCCGAAACTGCTTCTCGTTAACGTTAGGCAACCAAGTGGATAAAATGCGTCCAGATACGTCTAAGACGGCATCTGGAACCTGTTAGCACAGTAGGGACAGTACAAGTAACATCAGTCATATTGGGTTACCTGCTTGATGATCTTCGAGTGTCGGCGTCCACAGGCGGTTCTGCGTCAACCATTCCGAATCAGAGCAAGCAACCATAGCGACGGCAAATTGGGTACTTGCGGTCAATGCTCATATCTGCTAGCCCTCAGGTACTGCTCCGGGCCCAGTATAACAGGGTTTAGGATTATTAGAGAGTGTTAGAGTGCGCCTCATCGATCATACTCCGCATCGTCAGTTTTTGGGTAGGTCTGTTAGTAGCCATGCAGCAGCTGTTCTGCGGCCTGCCCAGTCCACCGGAGGCCGTCTATTCCTTACACCGATGAGGCATGATATCCTACGGGCGTATAAAGTTGTCCTGTATAAATCGGAATAAAGCAACTCGAGCCTTATATCTGTAACAGACGAGCGCTCTGCTGACACACACAAGATCTTCGACGCACGGGGATCTACTGTCCGCAAACCGGGAGGTTCCGAGAACAAGCGTATGTATCCGCCAATCCAGCCCGGTCCCCCGTACGGTGTAGATGGGGTAAAACATGACTCGGGAAGTGCCGACTGATCGCAATCCATGGTATAGTCAAGCTCTCAACCTCACCCCGAGCGTATGCAGTGTTTCTGGTCTCTACGTAGCATAAAATCCGTGGATTTATAGCAGGTCATTCTACGAGTCTTCATTGGGATTAATGTAGCGCTTGGCACATTGTACAGCCCTTGGGCTGATGGTAAAGGTCGCGGAATTTTCGGTGTTGTGCTAGTACGGCCTCCCGAAATGTAACACCGGACTACGAGGAAGTTGTCTTTATCGTGAAGAAGTTATGGTCCCTGCATCCATTAGCAGTGCGGTATCCCCCCCATTCAAAACATGCGATTTAGATTTCCTTCCGATAGGTTTGCCCCGTTTGTTCCATTGTTAGAAGCGTGCGATGGTGGTGTACGCCCATAATCGTCTTCAAACGGACGAATAAGTGGCGGGATACCTGCGCACTTAATTCCTTCATACCTATCTAAGTAAGATTGCTTCTGGGGGTTGACGGTTGAGGAGGGAGGTTCTCTCTTGCAAGCAGGGACGAATGGTAAGAGGACTGGTGCGATAAACCCCTGCGGTGTACAAGCGGAAGAAATCAGCGAGTAATAATTAAGAATAAGGGGGTAACGTAGTCATTCAAAGGTCCCCCGGGACAAATAACATCCGGCAAGCACGTATCGATATGCATTTATTGCCGAACGCAGAGTATGGGGGATCGCGGAATATGCCTGACCACAATGTGTAAGACACACATTACGGTTATGTGATGCAAGACTCGATCATAGTAGAGATTAGGTATCTTTTTTGCACGCCATGCAACCAGAGTATGCGTTGTAATGCATGATTTGATCGGTACACCGTAGTCCCGATTGTTAAATTCAACGTTAGTCCGTGTTCCAAATACATGAAAAATGGATTCAAGCCCAACATTGTAACAGCAGTTGGCCCCCTCAACCTGAAATTCGGGATGACCGTCGGTATACCCAGATAGTATTACATGGGCAGAGGGTGCAATACCTCATGCCACCCTCCCCCCTAGGGGGGGCCCCCTCGAATTGGCGTCTGGGTCCGGTGACGAGATCTTTATGAAAGTAATGTTCCTGAGTATCGCGTCCAGTAGTCACGAATACGATAGCTTGAGCAGGGACGCCTTGCTTTATAAAAGGGGATACGGCCAATACAGTGTCTTTAAGATCTAAAGCTGATTTGCTCGCTGCCAAGCCCGGTCCCCAATGCGGGTTTTTCAGGCTGACTGCGTATGTTGACTCGCCACGGGAATGCTTTAAATGCAACTGACACATAGGGTCTTTTAGCGACATATTGAGTTCAAGACGTCCCAGGGTGTCGAACTTATACCGTTGTCACCGCACTATGTTCATCTAAAATTAGTTAAACAAAGGTTGATTAAATCAATACTACGGAAGAACTCTGGCGGTAGCCGGCGACGCCTGAAAGTGGTGTGTGATCCCGATCGGGATATGCCCCTATAGGCAATTACTCTGCGCCGCATATGAGGACATCCACTAGGTTACGCTAGCCCAGCAGCGCTAAGGCTTCGGGATCTTCGGAAAACAAAGCCTAAAACCTGACAACCTCCGTTACCCTCGTCCATCCTGCGATGGGCCCTTTTATTCTACGGAGGTCTGCCGCGTATACCTCGCGTAAAGTGCCTACCGCCGAGTTCTGTTTCCCTTAGATCACGAGCTGTAAGGCTGGAAAACTTTGAATCATACCTTCCCACGAACCAGGACTAGGAGCACATTTGGCTCAAGAAGTTTTGCAGCTTTAGCATGGGTCTGCGCCTAAACCGGAAGAGGATGAGGTCTCACCATGGATGCCGCGAGAAAAACAAAGCGCTCGGACATCAGTAGTAACGTAGTCAACCATTTCGAAAGATTGATACTCTTGTCGAGAGCAGAATCACTGGCTACAACACGTTCTAGTTATCACATCTAAACGCTTGAACCGAGGTCAGGATCTCGCCTTTCCTATTCTCACTATACTCGATTCTTGAATGTTCACTCGTGTACGGGAGGCGGAATCCTCGCAGAGTTCTGAGACCGGACTGAGGGTGGATGACTGGTGGAATACGCTACAACGACGCTCGAATGGCATTTGTGAGGTAGCTTTAGTAGTAAAACAATTTTGCTAGAAACTCATTTAGATCATATGCGGGTAGATGCCGTTGCCAAGCATTCTCGTTCGCCATGAAATCGTATTGTCCTTGGACCATAATTTACTGCAACGCAGGCCTCGTCCAACGCGTATTACCTTATGTTATCATTCCGACCCAAGGATCTATGATTGGGTGACTCATCCAAACGTCGACATAACATGGTGGCGTTCCCCGGTGCGTTCCGTTATAGGCTGCGGGGTTACTAATTCGAAGGTCTTCAGTATAGGTTGTACCTAGGGAAAAGATGCGTTTTTTGCCCGTTTCAACAACGATGTGTGCGCGGGCTGACACGTCTCATGTTCCTCAACCGTACACTTGGTACTTATCTCCTTATCGTAGCTGCTCCCCGACGTTTTTGGACATCTATTAATCATGGCGACCGGCGTCTCAACGGAGCGCCACTTAAAGATAATGTTACAGCAGGCAAGGACTCTGGGCTGTGCAGTGGCGGCTAGCGGTATAGACAACCTGCGGCATATTTACGCTTTCGTACGTACTCAGGGTATACTCGCTGGCCGATTCGTGGTCCTTAGGACGCCGGGGGACGTTCGACAACCTAACCCATCACATGGTGGCTATGAAAACGTGTGAAAAATGACAAGCAGCCGGAGTGGCCCCAACTCGCCAATTAAGTATCGATCTGTCAGCACCCTTTCGGCCGCTAAGTTTACTGACGAACAATATTAATAAAACACACACCTGCAACGGCTGATTCGTGTGACATGGTGCCTGACGACCAGTCGTCACTCTTGTCAGACCTAAGGGAATCAGTGAAACCTTTGCTCGCGCCGGATGCATTTCACATACTGAATGTTTCGGCCTCCCAAGCCGTGAACGTATATAGGGCGGCGCCCAAAAGTCGTTTACGGCGATTAATCGAACCGTACCCTGATGCACACCGCGGTACCGGAAGTACTGAGCATTGCACGATTGCGAATTCACAAACTTTGAGGTTATCCATCCCGTCACTACGTCTAAACGCCATGTATACCTATAGCGACGACCCAAGTAAGTCCTATGGCATCTCCGGATGAGGAGCCTGCGTGCTGCTTGGTAACTGTCCTCTGAGTCGTGCCATTTAGTATAAAGCCGTGTAACCTCACCGGGGAGTTCCTCCTGGCACGCTGAACACTATCGGTTGGTAAAGGGTTGCCATAACTGGTTTCCAAAAGAAGAACAGATTGGACGGCGCAGCAATAAATATTCAAACCTATAGAGCATCGAGCGTTTCATTTTTCAGTCCAAAGAATAAACTCTGGATATGCGTCGAGGACGAAGCCAGTAGTGCCATACCCCTTGAGTTCAACCCAAAATTCCGCAAGTGAACTCTGCGAGCGACCTATCATGTAAACAGAGGCTTGGCTCCCCACTCGTAGGTCTCGACCGTAGTGTGATAACGTGTAGATCATCCCAAGGATGGATTTCTACGAGCCTAGCGAACATACATTTCATACCGGTGTCACATGGCGAATTTTATGCAGGCGAGTTACATTGAACTTAGGGTTCCGACTAATGGGCGCTGCTCAAGCCTCTGATAGGCCTGATGTACATGGAGGGAGTGCATGGATTGACGTCGATACCTAGCAAGGCAGTATACACAGGGGCTAACTATTAATGACGTTTTGACGAACTAACCCTTTGAACCGGTCACACAATCCTGGTAAGAGGGTTCGTTAGTTAACGCATGTAAGTGACCTTAGTTTTGACAAGTTCAGCTTCTCGATTATCAGGATATTCCGCGACGGTCGTTACAAACGCTTTTGGGTATGGACCTCATAGAGGGTCATATCCATGAGCTAATGGGAGGAGGCGCAAAGGTCGTCACGCTCGAATTTTCCTGGGCCTGTTGAAATGGGTAGGGTTGAAGCGCCGGAACATAACAGATTGCTTCAGCGGCTGACCTGCAGACCCTCTCCACAGCCTGTGCCCCCGGAAAATGAATAGACTCTGGGTGGCGTTTCATAGGTGAGCACGTGCGGTCTCACCGGAGTTGGCTCACAAAAGGGTGGCGTAATAGCAAGAATGGGGTGATGGGGTAGTTTCTCGATGTTGTTTCGTGGGTGCGCCCACTATGGACAATCATTAGCCGGTGGTGCACGGCCGATAGAGTGATATTTGTTTACTTCTGAGCACGTAAGCGCATTTGTACTTCCACCACTTCTCGAGTTACACCTTTGTCACGAGAGCCATAAAACGGAGCTGTGGCGTAAACGGACTATCCATCGTACTCGCAAGCACGCAGCGAAAACTTGCCCTTCAGTTGCATCGTCTGCAACTGGCTAAAGAGTGGAAGACATTACATGGACAGAAGTATCGCATAGGGAGATAGTTTAGCGACCATTCCGTACGTCCTCTCCAAGAAGGGGGCGTTCATAAAGGGGGCCAGTGATGATACATTCAAACATTAAGGAGGTACATATTGCCGTGTAGTCGGTTTTCGGATCCGGCTGATAATCTTAGATTGATGTCCGTTGGGGCTTCCTGTCCCTTGGCACGCTGCGCAGATAAATGACAAAACTCATACCAGCTAACTGCGGTGGGGCCGCATTTTCCAGCGGTCCGGAGCTTCTTGAAGAGCTACGCGGAAAGACATTATGCGTGATAGACTGTAGATCTCCATCTATCACCCCATGTGGAGCGTCGAAACTCAAGACCGTCCGGAGCTTAAGGATTATAGACCCCGGACCAGGTTGGAATCGCACCACGGTATCCAGAATAGAAAGAACTGTACGATAACTTATAAGCCTTGAAACGTCTGCATTCATACGAAGAAGGTTGTGGTCGAAGATGCGCACAGTTTAGAATTGTGAAGTCAACCCACCGTTGTTATTCCACGACCGACACTGAACCAAGGTTCGCTGTCCTCCTGACCTGTATCTACAAGGAGAATTCGCTGATTATTACCTACTTTCTGTCTTCTTGGAGGCGAGCAATATGCCTCCCCACCCGGTAATACAAAACCGCGGGAATTATTGTAGAGGATCGGTTGTAGAATCCATGGAAAGTACTCATTGGACTACAATCCGGTCCTATGACCAGCTCCCCTGTACCGGACTAAGGGATACTGGTCCCTTAGGCAGTGAGCAAGGAACGCGCGCATATACCTCAGAGTATGGTTTACCCATAATCCCAGCCGGTGCGTATTCCTGCCCAAGATTGCCCGTCCTTTACGGCCAACGGGACGACAGCGCTACCAGCGCAGACGTCAACATTACTCATGTGGGATCTGCGTATGTATTAAGTGGCCCGAATCACATTGAGTACCCGTTGGCCGGATTAAGAGTAAGCGACCCCTAACGTGAATTTGGAGTGAAGCCACGCTTTAATAGCAAGATTTCGACCGCCCACGTAGTAAATTTCGCCTTTTGTATAATGGGACACTTCGGTAGAAGATCCCATAGCGCCTATCGTAGCGTCCGACAAAAAGAAGTCTGGCGAAGCGAGCCTACCACGGATCCGTTCTAGCATAGTGCCACTAATGTTACTATCACAAAGTAGATAGGGAGCGGCTTTTGCGTCCCAGGTACGTTAAAGTTCTGCGGAGCTGCGCGAATGCCAGTCCAATTCACTCTTGTCATCCCACCGGACGCTACCGATCTCGTGCAGCTGCTAAGGGTGGCTCTGAGCGGGCTGTTAGTATAACGCAACCAATAGTAGGATAGCTGAATGGCTAGGTCCGTCCGGTTGATATCGAATGTCTGCACGCCTCGTTCTAAAAGATTCACGTAGCACGGTAGGGAGGAGGTCCCCGGACCCATCGAGCATATCGTAGGCGAGCTATTTCATCCCATAACACCATTGCTTACGCCTAAGACTGGATCCTCGCCTAGCACCAATGATTCATCTCCTACAAGCTAACCCATTCCTGTTGATTGCTAGCCTGCCCGGATACACCCCGTGGGGGCTAGGTTTGCTTCCTGATTTTCTGGGAGCTAAGGGACACATCGAAAGGTACTATCTGAAAGTTCGAACACCCAGGCTAGCCAACACAACACCCACCCAAGCCGGGTTCGTTTATTTGTTCCCTGGATTAAATCGAGCCTGTCTCCTACGCTAACGAGTTCGTAAGTTTTTGTAGCGCTGAAGAGGTTACTAGTAGGAAAAGCTTGGTACCGGGCGAGACATGGCTGCGCTGGAACCCTCGCCAGTCTTTTGTGTTTGTACTATCTTAATAAACGATCAATACCGTGATATATTGTGAACTTGCGAAAGGTTGTGCCTTTAATGGTGCAATTCAAGATCTCGCGTTACCTGCCGCAAACGTTTGTCAAATTCGGGGAGTTAACGGGGAATTCATTCGGCTCGGAGCTTGGACTATAAGCAGTCTCATTTGCCGTAGGCACATTTTCGTCGACTCCACAACTTGGCGGGACTCCGCTATACGATTCAGTACACCCGCCGCTGCCCGTATTCTTGGTGATTCCGATGGTTTTAACCTTTTTTTACCGATTCCGCTACATTGTACTCTCTAAATACTGTTACCAACTCGAATACAACCTAAATGCGGTCAGCAGCAGCCACGTGATAGTTAAAAAGGGCGAAGCGCCATTTCGGGGGCTAGCATTGATATCTTCGCTGTAATGGCGGGGGACGATGGTACGGAATGTCTTTGCAGCAATAATTACCGGAGCCCGTGGGCGGAGGTTTATTAAGCTTCTTGACCTATTGAGTATGTGGTCTCCACCACACGACGGTCACAACAACTCAGTAAAACCGTGTAGGGGGCAGATTGTATGAGATCTTAGACGGCGCGATTGATCTCTCGGTCATTGCGGTACTGTCGGCACCAACAAATATAAGTTTCAAGCCAGCGACAGGAGGGATCGGAGGCCGTACATCAGTGAGAAACTGATCTCTACGACCCAAATGCTAATTTATGATGCATAGGTCTATGCTAATGCGCTTCTATCACGCCAAAATGCCTGTATTAGGCACAGGCTGATGATGAAATACAGTTGAGCGGTCTGGGCCGTTGATCTTTTTTTGCCTCCTGGCAATTGTTGTTACGCGAGTGTGAATTAGCCCGTCGCGCAAATACAGCACGCGGGTCGAGGGAAAGCACGTCCGCCCTTTGTTATGGCTGCGGACTGGGCTCCCCAGGTCTGGCCCACTATTTGAATTGGCTGGCCTTGCACGGTTAGCTCGCTCTCCGCCGCTAATTCAGCGCCTTTTGAGCAAATATCGGGTCTATATTTAAATAAGTAACGCTAAGGACAACTGTAGGTCTTCCTCTATTACTGCAATCCAACAGCACTGAGCATCCTTGGTGAGGTGTTACAAGATTGGTGATAGTGCCAAAACCTTTTTGTAGATCGCAGCTGACCCATATCTATACTCTTGTGTGGATCGAGGTCGCCGTTACTGGGGCACCTCGCCGGCCCGACGCCGGCCAAGACCATAAGATAGCGGCTAGTAATCTCATTCTCCGGACCGGAGAAACATGCAGCATGCCTCATATGCCTTGCCCGGCCCGCGATCATTGTTCCCTACCCTGGATTTTAAACAAGCACGGCGGCTTAATATAAACGAATCCTCCTTGATTCTCTGCCTCACCCAAGTTCCAAAGAGCAACCAACCGCACCAAGCTAATGTAGGTTTTACAGTCCGACCGTGCACTAAACGAAATCGCTCAAAAGATTCTCTATTAGAATGAGCCACCGTTTGCATTGAAACTACACACCTAGCCCAATCCAGCGTGGCAGTTGGTGATTATCCCTACGCCGAGACAACCCTGTCACACTCAGAGAAAACGCTACAGCGACAATACCTTTTGGATACGTAGTACTAGGGGACTAGGGATCACTAAGGAGGTTGGAGTGCGAGGCTGTACTCTGCAGTATGAACCGGGCCCCCGCGTCGTCATGGGGCCCCGTAAGGAGTCAGTTTATGGTTAGTCTTCACGGTTCGAGGGGCTTGAGGCGCGGTCACACTAGAGAGCCCAGATCGAGTTGTTGACTCACGACTTAATCTCATATTTCGTATATTTGGCTTTATCGACTCTTCCCGAACTAGATCCACTAGACTGCATCCATGCTATCTAGACTGTGATCTGTAAATCAGTACCGCAGACTGGGTCACCCATGCTACACATCTATTTCGCTCCATCGGTATGATAGCGGATGGAGAGCATCATGGACAGAAAATCCTAACCGCCGCTGCTCGGCTATCCAACTTATCCCTGCTGACGAACGCCGAGTGTAGCGAGGTCACCTAAAAGATAAATCGAGTTGGCTAAATTCCATCGGGATAAACAATGTCGCACATCAAGTAGCTGAACGAGGATTCATCTGTCCGTCGAGTCACGTCGCACTGATGAATTAGGCTAGGTGTGTTCTTACATTGATCGCACAGCCCCCACACGCCGATCTACACGAACCTACAACCTTTTTGCAATAAAAGGGTTGAGGTGGGTTGGAACTTTAGCCCCTCCGACATATTGTGCTGCCTGTAATATTGGTTACGTTGGTACAATACCGTTTAATTCACTCTGCCGGGTCCTTGGCCAGTACCTTCAACGATTGTAATCCTCACTACATTTCCGACCCGGGCCTGCGTCAATGGTCGGAACGTTACGTGGTAGCGATACACGTGTCGATTCCGCAAGAACATTGTTACACCTCGACATATGGCTTTTGGCTACTAGTAATTGCTACCCGAATGCTGCGGGGTGGCCGGGACACACACAGCGGAGTGGATTTTAGGCGAAACGGCATGATGCAAGGAAGGACATAGTCCCGCGCGCCAATCGTCGTCTGCCCCGAAGTTTGCCAGATATTCGCGCTGGGCGAAGGCCAGTCTCGATAGGGACGCAGCGTCTGGAAGTCCGCCGTATTCCATGCTGCTGGGCTAAAACCTCGAGAATGAGCTCTAACGAGCGTGCGTTTTTCATATGGGCGGTCTGGCGGTTCGTAGGGGGGCAAGCGAAAAGCTCGTAGAACCTACCTCTCTGTCAGTGACCGATCGCGATACTTCTGGAGTTCCCCGTCACCGCTGATGTGATCGTTGCTAGGCGCACTCTCTAACTCACCATGTGTGAATTAAATTTATTCTCGACCCACGCTAGTGGGACCCCGTTACTTTTCAGATACCCATCCCACTGACGCGGCGCGCCAAATCACGATGTGATGAATAATTCAAATCCTCCATTTGACGTCCCCTAAAGACATGAATAAATAGTGCTGAGATTTGGTCCTCAAGGCATCACCTAGGGCCAATAGAGATCCCTGGCAAATTCGAAATTACCCCTCGAAGAATGCTGTATATTAGGTGGGGGCAATGAGCGTCACAGACGGATGATTGTGTGGGGACTTAACTCAGTGGGTTGTTAAACCTACATCAGGATCCAGCCGGTCAAAGCTGAAAATTTGACGCCGCTATTGGCTAACAGGATCGATACATCTGGATTTTGCGTAGATGAGAGCAGCAGCGACCATCCTTTCCTAACGATATAAGCACCTAAACGACAAGATAGTCAGCGTGAGGTTGTTCTGATCAATCGTATTCGTCTCGACCTTGGAATTATAAAAGTGCGGCTGGCAGCCAATGGGGAAAACGGGCAGGAGAATGGCGCAAGGCTCTGGTCTAAAAAAGCCACGGTTATTTTCCGAGGCTTCACGCACTAATTTGTCTCCTATCATTCGCATAGTCAGTCCCTCTAATAGGCTCGCAAGTCATCTTGCGCACCGAAACGTACCTCGGCGCCTAATTGTTATGATAAGCCCATGCTCAAAAGAGGAGGGGGCTAACTTCGGTGGAGATGCTGGATCGCCCGGGTTGCCGGGCCGATCCCCGACCGTTACTTGGCTCAAAAACTTACGACCATTACAAGTCAGACTTTGGGAGCAGCCGCGAATAAAAAGCTATCAATCCGAAATCTGCGATTTAGGGGTCGCAAAGCAAGAAGCACAACGAAGGCCGGCGCTGTTGGGCCTTTTTATAACATGCGCTGGAAGTCGGGCAGTCCCGATAATCACGCACCTTTTATGACGTAACGTTGAGTCGCCATCCTAGCGGTGCTCCCCGAGAGGAAACCTGGCTGAATTGGGCGTAACACAGCCCCCATCGCGCAACAGGGCCTTGTCGCACAACAGTTGGTATAGATACTGGGAAATGCCCCTTAATGGTCACACAGGACTGTATGTTGCTGACATTGACCGCGCAGTGGAAATCTGGTTCTCAAGCCCTGGTGACCCTGTAAAGTACCTTTGGTGATGATGCCCGGGGGGCCACGGAAGACATACCAACTGGAGGGTTAACAACATGATAAGCGCTCTTCCATCCATAGGCCCGATCCATTCCTGTGTCTCAAGCAAATGCATGTCAGGTGCAAACTATCAGAGCAAAAGTCCTTCATAGGAAGCGCACCCAATTAAGGGTACCGTTAGTTAAATGTGGCAACAGTGCTGCAGCGGATCAAAGAATATTGGCCACAATCCTTGTTCGCGGCTGTATTGCATTCTACTCTCAGGGGTGGCCGGGGAAGGCACGGGTTACTAGTAGGCTCGCCGCTCCAGGGTCTGCCACAGTACCCTTCTCCAGAACATAAAACGTCAATGAGAACAGGATACCGAGCGGCCCATATGATCTACTTTGAACAAATGATGCTGGGCTGCGTGGAGGCGCTTAAGTTATCCCCTGCTAAGGTTTGTCTAATTCCAATCGGGGCCCCCGGCCGGTCCGTTCGCCCAAGTAGGTGTGATGTGTCGCGCATCACCAGCCTGGGGGGAGTAATTGCACTCGCCAGACGGGCTAGACATGGACAAAGCAGCCTGTGATCGGAGCAGGTAGAAACTTACGTCCCATACTCCCTCTGTGAATTGGGGTCGACTGCATCATGGTGCTCTTGCGTTAATACTCGTTCCGCACATCTATACCTGGTTTTGCAATCCTGCACGCCTTACTGACCATCATGCTCAGTGTAACCCAATTGTACTCGATGATGGAAGACTGGCTCCATGAATGTACGACACTCGACTAGACTGTCCGAGAATCGCCGGGACATCACAGTCCGAACGTAAGGACACGTTGGAATCTTGTACGTCGGGCTAACTGGTTGTATAGGCCCAGTGCGACCGTCGCTAGCGGCTCAGCCCTTCTCGGTTTCCAAACTAACACCCGTGTGGAACGTAGTGGAGGGTCGGTTTAGAAGAAGAAGTGGGGTTTTTTTCTGCCGCCAGTACCTTATCTGCTTCTTTTCTGCAACCCGAAAACACACCGAAACCCGTGCTACGTGGTAATCTGCGGTTGGGTGTCCCGACAATGGGCCATCCTAGAGGCAGTTCGACGCACTGCACAGTTATCGATTCTCCCCGGTGTTATGTTGTGGTCAAAACGTGCGGGAATTTGCATCTATCTTGCGTCATGGCGCTATGACTGCCCTAGCTCAAAAGAGAGAGCGGGTGCGATGCCCAGTATCATGGGTCGGATCTAACCCATTCTCCATATTCAGACTGTGAGACCACTCATACTACGTTAGGGAGTGACGAGATGAATGCACCTTAGTCTTATGGATGTCCATGCGGTTATACACCAGCTAAGCTTGCCTCAGCACCAACTTCCACTGAGGCAGCGCAGCCTGCCTGCAAGGCGCGTGACTCGGATCACGATCAACCCAGTTCACTTGTCGCCAGTACTCTTGCCGGATCAGAGCTCAGACAAGTTTGAATTCGGAAATCGTGAGGGCACACTCACGGGGGGCATCTAGGACCGCTAGACCTCTAAGGAGTACCATCAATAAAGTTGGGCCCAATACGATATAGGTTTCTAGTAACAGGTGGCGGAAGGGACCGAGTGGACTACAACGTGTCTCTCCTGCTCACTGCTAGCTGATATCTCCGTGAGCTCAAGTTGTTCCATTTTAATGTAGGTCCCTATTCCTGGAGATTTAATGCAGTGTAGTAGGCCGTCGCCGAATGGGTAGCTAGGTAAAAAGATACAAACTGATCAAGGGGACTACCCGTACTTTAGTAGGCTAAGATGACGTCGTTAAATGGGCCAGTGTTATCATGTGTTTGCATGGGTCGTTGCACGCTCAATACAGCTCAAGAAACGTACATGACGTTTGCGTCCTTTGCGCCCTCATAAGTCCCACAGCCGCGCCACCGACCACTTACCGGTGTTCCGGCCACGGTTGCAATAGCATCGATCTCCTATCCTAAGGCTTAGCACTCTCATCGAACGTAACGAAAGGTCACTGGAGAACTACCGGTCTTGAGGGTTCGAAGGTGGACTCAGATGGAAGAAGATGACAGTAGACCTTTGAGTGATTCGCCGTCATTTAGCTTCGCAACGGTCGCCCAGGCTATGACCACCGTCCAGCCACCCGACTGTTAATGTATCTAGTTCCGTCTCGGTCCAAATGGTAGTGCAGGTCGGCTATGTCAAAACGAGTGCAAATTGCTCCGCCGAGGCAGGATACTGTTCGCGTGCCACCTTCAAGGCGGCTAGGCGGGCCGGGGTATCGGAACTAGGAAGAGCGACATTTATCAAATCTAGGATGTCGATAGTAAAGCGATGACATGGATACTTGGACTCGCCATACGGTTATGAGAAGTGACGAGAGTTTTCAGTGGGTCCTTTCGCAGGCCAAATTCCTAGACGATTGTAGCTTTGTAAACGAAACAATAGCAGTTCCGGGCGTCCCAGAGTATCGTCTAAGAGGACGTACATGTGGGAGAAAACGGCCAGGAGGCGTAGGTAGCCCCCAACTCCACCGAAGCCTTCTGATCATAGAGTTTAGGTATATGGTTGACACTACTATGCTGCGGGGTACTGCTGCGACCTCCGCTGGTTAGCTCTAATTGGTACTTTGGTATTCCCCCATCTTCACCGGACGGCGAGTTGAGATTGAAGTCTCGCCCGTCCGCCGGGGTCGACGATCATTAGTACCCTGGCGCAGATGATGCGTAGGGGTTGTCTGCTTTATGGTTTCCGCTAAGAAATAGCACAGCTGACCAAGTAGAGCTTCAACCTGCTCGTCGCACCGTAGCTAGGTGACCGAGCCTCATCATGCGTCCCGGGATATCCACATCCGGCTTAACCACAACGGCCTGAATATCTTCGACTGCAATTTGCCAATGGGGACAGAACTCCCGATTACGTGGTGAACGATACCATGTGAAGCCTCCCGCGAATGTGAATCGCGTAGAGTATACACGACTACGCCGCGCCGTTACCTAATGATGTTGCGTCATGGTATAATGCCGATGACGGTACAGAATTTCCATGATATTAGATGTTCTTTAGGCTGGCGTGCTAAGCTACCGTAACTTCTCCCGACTCAAACACCCTAGATGGTCACCTTGCACAAAGATCACCCAGGAGCGTAGCATATGCGGCTCTGTCGCAAATGACCGAATGCGTAGGGACCCCAATTTGTCCGTATAGATAAACTGCGCTTGAGGGAAGCGACCAGGCTCACTACGGCAACCCTCGGGCTGGTGCGGCAGAGTGCACTCCGCCGACTGGCAAGTACGGACTGCAACCCCAATGTCATGCGGGGTTCATCCATGGCTCGATACAAAGTGGGTCGTAACTAGTTCGGAGGGCGACGAAAGAGGTAAGAATCACGTTGCTGCGTGGGGAGATTATGTCCCACTTGTGTCTTCGGCGGAGCACGGTAGTTTGGTATCTGACTATTGTGTTGCGTGGCCTACTTGAGATTGATGTACATCAGTTCTAGATGAATTTGAACTACCTCAGCGAGCGCGGTTAGTGGGGTCTGTGAATCTTGAACTGTTCAACTCTTCAGCCTCTTGCCGCGGTCTGATCCCTTGGTCCTTAGGTCTTCCTATTAATGTACGCTCAACAGATTGTAGTGTATATCTGGCGCTGACTGAGGGAAGCCTACTTCGGTCAACATACAATGCAGTCATTTTCGAATAATCTGGAATGTAGCGCTCCGTCTGAGAATGAAATTTCTTAAGAATTTTGTGATTGTATGCGTATTAACGGTGGTATCGTCAAATTATGAAACTGTAGGAGCGCTAATGGCATGAGCCGAACTTGCAGGGACCGGAGCCTATAAGATTTTTGCTTTTGAGAATAATAGTGGCAATCTCAGGGGACAAACAAAGCCCGCTTCCTCACAATACACACGGAAAAGTGCGGGAGATTCACTTAAGAGGCGAGCCTAACCGTGGCGTCATCTACCCAGTGTAGGGTTCGAATGGCATAGTTTATAGACGCACCGACTTGTGATTCTTAAGTGGTTACACGTATGCTAGTCGCGAGTGTGGCACCGAAATGTACGTGCGCATAGACTAATGGAGCGCGAAGGTGCCCCTGAATCCCCCTTTGAAGCGAAGGGTCTAGTATCGAACGTCCCACCAGAGCACCGGAAGTTCTACGGTTAAGCGTAGGCACAGGGCCGTCGTGCGTGACGACCGTGAAATTTCTAACCGACCATTCTTTTCAAAGGTCCCAAAAATAGGACGAGGGGAAGGTCGGCTACACCTCGTACCCTACGCCGCCCACAAGAAGTATGGACTCTATCGGGACTAGTGTATGTAGCAACACTCGGTATCGTGACAACATATTGCTTTTACGGCACCACTCGGCCATCATATTTTCATGGGGCGATAGGGACTGGTATAGCTGGGTAAGTAAACTTCGTAAAATCGAGTCCATCCACTGCCCCGGTGATTTCAGGTTCAGTTAATGATCCTTATAACACCTCGCCGGCCCTTCGCACCCAACAATTTCTAGCCAGGCCACCATTCATACGGCGGACTCTTAGAAGTGCAGTGATTATGCTATTCTGATAGATGATTCTCCCAAGACAAAGACTATGCCGGCGGCCTATTAGCGTACCCCAGTGGGTATGTAGAAGCCAACGGACGTGGACGGTCGTCGACATAGACACAGTGGTAATGCAAGATGCTTTTCACCTCCTAAAGCCGTCACTGAATGTTTAGATTCCCCTGTCATGATAATACGTCCTGCAGTGGACGCCGATCCCTCAAAGACTCGAACTGGATGAGAGTCCAGGAATCTGACATCCTCACGCTTTGATAGGTGTCACATAAGACGATGAGCGCCCACCAGAACACGTCCGTGGTTTCTATCCTACCCAAGTAAGTGAATGTGAAATCTAGAATGGTTCACTGGATAGAACACAACGGTTGTATACCAGTTGGAATGTTAAGAAGTATTCTAACCGTCCGTGAGGCATGACGCGCGCTGGTTCCTCGGGATCCGACCGGGAAGTCGCTCAACGATCGTGCTGGCATGTTTGATGCACCGTGTATCACAACGTCGTGGAGTCGCTAGTTGTTAGGTATCAGTCCTTAGTATCCCTGTCCTGGTAACAGCTCATGCCCTCTGGCGGAGGCAGGCTAATTGTGATGCCAGCGCTAGGGGTTCTGTCCAAGAGAAACGTTATCCGATCAGCGTTAGAGTCACTCCAAGCCGTCAGGAAGTAATTTCGAAATTAGGCCAGGACCCAACCTCGTCTAGAGTGCCACCGCCAAGGAAATCGGGGTTGAGTGTGATGACCGTGCTCCTCTTGAGGCGAACGGGTGTGATTAGCTGTCTGCGTCGTACACCAGTGTTTACGCATCGGAGTACATTATGTGATGCCAGAACCTGTAGGGGTCTTAGGGGCCAAAGCCTACACTTTACTTCGAGTGTTCGGAATCGGCGAATGTGACCGTTAATTAAGTGAGGTGTTAACCGGCGTTTTACGTCCCTGACTGGCAATATGGCTCGTGATGCAGTACTTGGCATGGGCGCCAGCATGAACATTCAATCCCATAGGTAATCCCATTGTAGCCCGTTAGAGCGTAGCAATGAGTGATATACCCGGAAGCTAAGGGCTCCTTGCCAAGCGACCGCACATGGCATCGGTCGAGACATTTCCGGGTGGACTGAATAGAAAGTTGGGGAGCCCTAGTTGCATAATGTATTTAGGGGTGTTGAATAGGAACTAATACAAATGCCGTCCCTAACTAGTCAGATCGTTGAAATGCCGTTTGTGTGGTGGCTGTGTCGCTTTATTAGTTGAAACTGCAGGTTCACTATTGCGCAGCGCCTCAACTTGCTGCTGCGTTACGTGTGTAGCCTTGCTGGCGGTGAACCTAGATTCCGGACCCAAGATACGCTCAGCTGTTACCTGCACCGCATCACATCATTCGGTGGGCTAGGAATCCCACTTGGTTTTGGAAGACAGTGGTTAGACGTCGTCACTAAACTAAATTCGTCCGGTGATGAGTGGCGTACGGCAGATGTGCCCGGAGGGCCACACCTCTCTTAACGTCGATCGCCAGGCAGCTTACATGTGCGGGTACATAATTGCCGGGGGTTCCGGTGCGTATGCGCGTCTATGTCTCGCAACAATCATTTTGCGAATCTGTGGGGCTGGTCCCTCTCATGATCTGATAGATTTGGAGGCGTCATTTTCACTGGGAGTCTTCCCAATCCGTATTTGTCTTCACTTAAGGTCGCCCGTCCTGGCGCAAGTGTTACTAGTCGGGGACAAGTCAAGGACTAACGAATGATACTATCACTTGTTGCTGAATAGTGATCAAAAGCAATTCTGCTCGAGTGTTCTACGATCGACCAGCCAGGTTTCTACGACGCCAGATCGAGTGAAGATGCGAAGAGATAGCGCAAAGGCCCATTTATACGGCGTGAACGACACTGGATATCAGGAGAGATAGGTTAAGCTTTTCAACATCGGCAGGCGGTACCCAGCACACGTGACTATAGGCACGATCTGAAGTATCCTATTTGCCGTGTAATTATGTCAGGGATACACGTCCGAATTTTGTCCATTGTCTAAACTAAACTCCTATTGGTGACTGATGAAGGTATCCCGTACCGTAGCTTTAGGATGTTTGCTCCCAGATGAACACACACTGTAACATTGCTGATGCTGTGTTACGCTGACGCCCGGTCCTCCCTTTGGCCGAGCGAAGCCCGTGCTGGTAACGTTAGTTTCCATGTTGTTACACTGAATGAGCGCTCACCCACAGGTTAACCCCTCAAACGCGTTCTCTTTGGCTCACCTTCAGTACATGGATACAAGTAGAGCCTTGCATAAGGGTTGCGACCACAGAGAGCGAGTACGTCTCCCCCGTGACTGCACGAGCATCATCAGCTCGTCCTTGTTAGAGCCGGGCCCGGAACCCCGGCAGCCTGTGCCTGGCCCAGGTGTCGCGATCATGTGTCGGCTTAGGACCACGCGAAGTACTGGGGCGACTTACGTAGTCAGATAAGCCCACAGTGGCTGTTGGTCATGATTGGGTCGTACCTTCATCCGCACGTGTCTTGGAGTACTCCTGAAAACTTACAGCCCTAATGTTGGCGTCTGCTCTTCATCCGTGATCAGGCCGTAAATAGATTATTCAATCCAGTAAACTTTATTTAATCACCCACCCGACAGAGTTTTTCTAACCAACTTATCCGACTAATTTATAGAGAGACCTCGCAATTTACTATGAGGAGCGCTTAACATCTCGGATAGACTCGAAGCCCTGCAACTGCCCCCTAGAGAGAATACGGGGAACTCTTCGCACGTACGGCATTCCCTAACCTAATCGGCACGTGCCAGCCACTGTGAGGGAATTCGTCGGGTCATTTGGTTCATACGACAGTTCTAGGGGGGGGCTTATTGAGAGACCACGAGACTTAGGTCTAAGCTTTCGCGAGGCCAACCGCGGGCTGCGGGTACACTTTACAGTTTCGTTGATTGCGTCCCACCACATAGAGAAGATGCGCGATTGAACGGGCAGTCTGCTCACGTCGTCAGTCGCATGTGAGTGGTCGAGTGTGAGCCGTGCGTTGTATAGATTGGAAACACTGGTACGCCATATCCCCTGTTCTTGCCCCACTTAGGGTATTTAGGAGTCACGCAATAAATAATGATCTATCCCAACAGGGGTTAGCGCGGTGCGCCGGAGTGTCATTCCCTCAGGTAAACGTAAACTCGAGCTTATGCTGCCGCCGTATGCCCGGCGGCCGACAGTAAAAGATCTGTGCAGCTCCAAGCGAGACCATGTACGATTCTCTTGTCGCAAATCGGGAATCGACAAGTAGTTGCATCACGGCTGCAAACAGGAGGGCCCCGGCTCTATGAAGAAATGCCTGTTCCGATCAACCAAGTGTCACCATTACAAAACACGCACTACTTTTACTTCGTTTAAACCTGTTCAAACCTTGGGTGAATCAATAGGCCTTTGCATCTCTGAATTCCCTGTTTCCCACGTTTATAGGGGGTCTACGCTCATTGACTAACCTTATCCTCCTGTAAATTCGTTGTGTTAAGACCTTTCCCAGAAATTCGGGCTCATAAATCTTTGGATTGGGGGAGCCTCCCTACGGAAGTCCCTGAGTCCCTAGTCGGTGAACCCATCGTGTGATCTAGATAACTGAACTATTTTTTTCGGGGGGGCGGACATTGTCGAGAGGCTTACAGCGGGCTGTGACCTAGGGTGAGACGCTTACAGGGGGGAACAAAAGGATCTACGAACCCCTTCTTGGTACAATGGCTAACGGACCGCGCGGTCCCGGATCACACTGAACCGACTCTTCATAGATCTGTTGTGTTCACGCCGACCATCGTCCACGGACTGGTATAGTTGACATGAATCCGCTTAAAACCGCGATCTTGCGAGTGTTAGGTGCGGAAGCCTACTTAGACAAACGCCGCGGATCCATTATCGAAACTCATGAAGGACGGTTGCTCAAACAGCGCCTAAATTCCCGATCCTAAACGGGGAAGACGAGAGTTAGTCTACGACTGTATGGGACATGTATCACTTTCCCGCGCGGGCATCGGTCAAGATGATTACTAAATCGCCTTCAGTTGCTCAACACATCCTCCCCAGTGTTCCCTCAAGTCCTAGAATTCTCGGATCAGCATGCTGGTATGCCACACCGATGGGCAAGCATGATTAGCCAGGGATGACATAACGAACTCGTGCAAGCACCCTTTAACCAAGGAAAAATACATTTGGGCTAGGCTATGCTTTTTCAGACGCATGTTGTGCCCTTCGTCGCCAGATTTATGAGGCATACGCCGCCAGTGACTAGATTTATATGGCCTTTATGTGGCCGACCCTATGCGTCTTTCGCAACCTAGGTGAGCATTGGCGAGCAGTCAGCAGAATTCCTTCGAAGTTACAGAAAAAGCCGACGGGTACACGTTAATGTCTTAGCATAACTTCACCGTCTTTAGTTCGCCCCTATTTTACATCCATGTTTCGCCTGCTTCGTCTCGCCTGCATAGAAATCTAATCGGGGGGACACCGAGTCTACTGCGTATTGTTTGGCACGGGCTGCGGGATCCTTTGCGGAGACGTACCTTGAGAGGCTTATGCCACTTAATTCGAAGACGTCATCTGCCATATAACTCCCTTGTTCTACACATGCTTTGTGCCTGACGACAACCATTTTCCAACTATTTATTGCACTATTCCATAAGGCCGACAAGTTATAAATTACCGACGGCTTGTGCTGAGCACTGGATTAATCCCCAGGTTGCCCAACCCGCCGCTGTAGAGAACACAAAATAAACCGCGAAAAGATTCTATTGTAAGTGCCAGTACCAAAATTTCAACACGATAAGTACGGTGCACATCAATAGTAGTCGGCGGCTTAGTCAAACGGTGTCGAAATCTACCGATACTCCATGTAATGCAAAATCCATGCCTATCGAACTAATTAATATCCTCGTTATTGAACACTACCCATTACCTCTGTGCCGTTATTCCTGGATAGCCCGTGTGCATGAGTTCGAGGAGACAAACACATTCGACTAGCAATTTGTGCTCATACACCTGCTATGGAAGTAATCTATCCAGGGGGCACTTACCTACCCCTATTGGCTACAATTACCGCTAGCAGAACTCGAGGCCTGCATTTCGACGGGTCTCCTTAATACTAAATGGCCGGAGCCTAGACTCTGGGCTGTCACGGACTTTGTAGTGTATGGCAATCAACAACTGACTGCCCATTGTCCGCCTAATAGGGCCACCTTTTGTTCGAAACCTTGAATCCCTGGGCGATCACGTGTCAGGTCTGGCGCCCAGACGGAGTGTAATCACGGACCTCAAGCAGCCTCAGGTACACGCGTCCGCTGCGACGACAGACACAATTAAAAACCGCGGGGATCTGCTAGATCTGAATCTTGGCAATTCTTACTAGTTAAAAGCCCTATAGACCGCACGTATCGATGTATGAAGCTAGAAAAAACGCACCAATTAATTGAATCCCTTGGCTAGATCATCGACGAGTGCATTTGCGTCGCCACCGACATGGCATCATTTAAGATATAGGCTTTCCGGGTGGACCATTAAGTCTGCACAAAGGGAACCCCGCGACCGAGTATACCATCGGCTAACGGACCTGTCATAACCAGCTCGTTGTCCACGCCTTGTATGGGCGTCCTGAAGGCCTGTGTACACGCAGAGCTCTCTTTCAATGACAGGGCCAATCAGTCGATACTCGGACATATCGGGGCCAAATCGTTTATCAGTGGCCGTTTAATATTAGTAGACATGCCGGGAAGTTTAGCGACCATCTTTCGGGAAGGTATGACGCGGGCGCGTTCAGGGTACGTAGTAACGGTGTCGCTGACATTCGCCATGTTTGTATGTATCCTGTGTTTGTCAGCCTCCGAACTGAATGTGGTTATGCAAGGCTAAGCCGTCGTCTGTACCTTAACAACGTAGTGAAGTAGGGCGAATCGCGTGGTGGAGCTGGGGAATTCCCGATATCGCACACGAATCGACACTCTCGGAAGGAACTTAGGCGGACACGCACGATTAACTTGGTTAGAGTGAGAAATAAAGAATGCACTTGAAGATTCCTATTTGAGATGATAGTGTCCGCGTAGAGATCTCGTAATACCATGAGTGGAACAGCCGGATGAATGGAATACTGCCAGCTTGCTAGTATTGTTTAGCAATATATCCTGCTGGCCTGACAAGAATGCTCTGCCGTGAGTGCAATCGAGGCCCCTAGATAGCTTGTCATGGTCGGCTACGTTTCGTCGTGTTCGACACGCTAACTCGAGGCGCATCGATGGCACATAAATCTTCTCAAAGCGGCGCATTATCTGGCAGGCTCTGAGCGGATACTGTTTTTACGGTCTGGTCCAATACGGGTGCGGAGGACGTGGGTAGGACCTCTCCTGGGCTAGACACACCCCTGGCAACAATACCCACTTTTATTTCCTAATGATAACCGATTCCACATGCCAGTGAATGCTTTGAGAGCTGGCCTCCAATAAGTTATAGTAGCAACTAGCACAATGTAGCTTGTGACCAGTCTTGCTTGCCGCTGTTGTTAGGTTGCCAGATTAATTCACCCGCTTAATGTGCTCACGCTTCCACACCGGCTGCGGTACTAGCGACTCTCTGCAAACGCACCGACTTTTAGAAAGGAATAGACATATGGATCAGAGGAAAAGCCCTAGGGTTCTGACAATCCGGATGAACTGCCTGAGTCCATCTTCGACGATACTCAGCTCGCCTACACGGGGGGGTTATCAACGAGTCTATTTTTCCTTCTGACAAATAGAAGTTTGGAGAACAAGCTTATTCGATTGCAGCGGCTCTACTGTAGAGTCCCCACCCTCTAGGTTAGTCGAACGTTCACTAGCTCGGCACCCCCACAACCTCCGTCTTCAGCCTAAGTGGTTGGGGAGGAAGGGGACGTGCGTCTGTTTTAAAGATAGGTGTCACTCAGTGGCTACATCCGGACTGGGTGGGCGCCAATTCCGTAGCAGCCTGCCCACACTGTCTTTGATCGAAACCGCTTGAAGGGGTGTTGCTAGCATAAAGCGTTGAATGAGAATCAAACTGGAGGAACGTGCTTGGCTATAATCATCTCATTTTTCGCACTCATTGAAATGAAATACCTATCGCATAGAAATGGAATGGGCTCTCAGGCCCATACTCTGGGGCCTGGGTCAACCAGAGAAAGAAGCCTTGACGTCGAGGCGTGCAAGCCCAATCCAGCCCATTTGTGCCATCGTCATAAACGCTAGGTACGTAGCCCTGTCTAGGCGCAGGAGCACTTCAACTCGTGGGTACACGCAGCCTCCTGTCGGTAATAGTTATCCGGTAGGCCCAATCAGGTCGCTTTACTGTTCTTTATACCTCGCTGCCAACATGCCTATCGTGCACTCCCAGGAATGAGCACGGGGGCTCATCTAGTGCAGTTAATTCCCTGGCATTCACTTTGGACGCTCGTACGTCAGTTATGAGTAGGCAATATTGGAGCTCTCGACCAACGTAGTCCGTCGAGGGCGTGTGCTGAACTCCTCTCGACAACACAAGCTGATTAAGAAGGTACCAACGAGACGAACGAAGTCGGTGGTTGGGGCTCACGATAAGCGTGGCTGCTACTCCGCGTAAGCGATACCCCGCGGCATTCGCAGTTACGTACATTCGAAAAAATCTTGCACGGGATTCCGAACATGTACGGCGGTTAATGACTGAGGACCGACCCCCGCCAGTTAGGGAGACATTTGAGGTAAACCGTGACGTTCATTAGCACAATACTTATTCGATCGCGAACACATCAACCTGGACAGTCTCTGCACGCTCGATCTGGATGTATCCAGGGGTGATCGTTGCACGCCCTTTTATCCGCGGTTGACTGTGGTTTCGGTTGTCTCAGCCTTTCGTATACAGGTACGTGTGGGACGTCGACACTGGTAGAGGGCAGGACGTTTCCGTTTTCGTCATAGGATTAGGGGTATCTACGTTGATGCTATCAGTGTCCCCTCCGCTTGGGAGTGTTCATTTTCCGAATTGAGGGTTCTAACCTCTACGGCCGATCCTGCGGTCGATCGAACGGGAATTACCATTGTCCAACAGTGCGCTTGCGGGGGTTAAATTACTGAGGAGTTCTATGACCCACCATGCTAACCGATTTTACCGAGCAATGGGTACTTGTTCGTATGCTGAGCAGGATGGGTCTCCGGAGCGAGCCCCATGCTGACTCCGCAGGCGTCGAGCCAGAGTCTGACCAGGGGGAAATCCACCATCGGTTTAATGAGAATACCTCTTTCCCCATAGGAAGAAGGAACTCGTACTTTTCGACTATCGCGGTTTAGACCCAGTTAGGGCGTATTTGGGGCTTGGCAGTACCACGCAATAGCCGGATCCAATTGATGAGTACGGATTACGGATGATTTGCTATTATGTTAGCACGCCCTAAGACTGAAGAACAAAACGTATTAGTCTACAAAGCGGGTCGTAACCGGTCCTTCACGAAAGGAGCCGCAGTGTGTACTCCTAGTCGGCCCTGTGCGCGAAAAAGAGGAGCCTCAGTTGATTGCCAAGGTGGCCACTAGGACCTGATCCTTTGAATGCAGCGGGTATTTTGCCCGATATGAGGGTGGAAGTGCGAAATTTTTGCAGCCGGACTGACCGGCTCAACTGCAGCCGCGCCAGACAGTCGGTATTACCCGCTTTCGTGGACAAAAGACATCGGCTAAAGGCCGTTTTGATTATATGGTAAAGACGGACGGGATACACGAAACTCTGCTAGCTGCGATCTACCCCCCTGAGTAAGTCAACATATCAGGGTAAATAGGTCCAGGTAGACTAGAGCGAGCCCCTTCTTAGCCAAGCTGGTTAGGCGGAGTTAGCGGCACGAATGAGCCCACCATAGAAACACGCAGCGAACGAGCCCATAGTATTTTAGGACCTATCGAACCATCTACTGCAATGACACTAACTTTCGGAGCGCGAGCCAACTTGCCCAGAGTTCTTCCACCACGTTCGTACCATACGCGAGCGGGTTGACAATTACTCCATGTAATACCGAAGAGGGTCGAAGTGTCAGCTTGACCAGTTCGGCAGGCATGTGTGTTCTGACTGATCGTGTCGAGATCAGAGGAAGTCCAAGTGTGCAAATGCATTACAGCATTCCGGCATCAGTAGCGTGCCCGGACACGCGTGATGGCCTGGGCCTAGCTTACATTTCCGGTGGTATTTGGAGTGTAATTACAAATAATCGCTTCACCTCAGATCAAATATATATTTCCAGGCTGATTAGCAGAACACATTCCTTATGCCATGACATACTATCTTAATACCTTGTGCGGACTAAGCCCCAGAAAAAGCGCTTTCCTGGATCCTGTAGCATAGCTCCTTAGCCCCTCTTGTGTACCTTGTCATGTCCGCTTTACCCTTAACGCACTCTAGCCATATCTGTGTTCAGGTTGCTTACGTGGAGGGTCTTGACGTTGGAGCATCGCTGCATAGCTCGTTCGGGCGTCCCCCATGAAGATTTTCGGTCGATGGATAGACCAACCTGAAACAGGCTGTCAATAGGGCGTGTGACATAGGAGCGGATGATACAATTGGCGTTACCACTGGCGGAATGGCGATAAGTACAGTGGAAGTTGCACCAATGTGTCGTTAACCGTGAAGCATTTATCTGCATGGAAGATGTTGTCTCACATTTAAGGGTTCCATGTACGCAGTCGTCAGGAAAGACGAGTACATCTCTCGCATACACTGTTGGTCACTGGTGAACACGACAGCCGTCTACAGAGACCTCGTTTACTCTCGTCAATTAGGGGCAGACTATTTATAGATGCTTGGGCCATGAATATGTTCCCCGATACTATGGATGTTCGTAGCTTCGGCGCAGAGTAGCCATTGAACTTACTGTCCGCATGTCCACACTCACCTTTTGTGCTCGATGAAAATCCTACTAACTGCAGGGCGCTTTTATATCCGTTAACCATTTTTGGCTACGCCTCTTTTGAATTCTTCGTTTAAAGCTGACATCGTACTAGCGGTGTCAAACCCAATCGAGTGCCGCCGGTAGGTTATCTCAAATCTCGTTCGGAAGATAAAGATCTTATAAAGTACGCCTCCTTTAGATATGGGCATCGTATGGCTGTCCGTTTGTCATCCCCGGTCAACCTACTATTTTTCAACCCGTACGTCCTAAGAAACTGGCGAACGGCAGCATCATACGGCCGTCGCGCATCGCCACCGCCCTTCACTGCCCGCTACGCTATCGTTGTAAGTCTCATTACGTTAATTCCTGATGATGCCGAAGCCTATACTGACCGCTCGCACTGCTGCGCGGTATCTCTCAGGGTAAGAGACTAGGTTACTTGGTTCCTTTAATCAGCTCAGCCTGCCGTCGCTGTAGACGAATTCTAAATGCTGGGGGGACGCCTGGCTAGTCAAGTCTGATCCGAAGCCTGGCTATCGGGACGTTCAATGGGTACTTGAGTGAACTGGGTATGCCCATACGCTGCAAGTCAGCTTATGGCAAATGCAGCAATTACCTAAAGGGTGGTACCTCACCCTTGAATCGTGGACCCTCATTGAGCCAACCGTCTTGCAGAATGCATATACTACCGGGGACAAGTTGAACTTTTCTGTTTCATAAGAGTGGTAGCCGGTTATAGTGGCAGGTTATGCTCATCGATAATCACTGTGACGGTTTTTTGCGTCTCGTCGACCCCGGATCCTCGGTACTGACGACTGGCATACGTCGGTGAGAACTCGCATACAATCGCCACATGTGCCGGCTCTACCTCAGTTAAGTATTATGGGATTCACGCCGTGTCTAGCGAAGAGTGGCAAGCGGGGGAGTGTTAGTCGCTCGACCACGATGCTTTAGACTAGATCGTCAACTTACGGTTGGCACTCTGATAATGATCCGCAACGGGCGTAACATGCTATCTTAACGATACTTCGATGAGCTACGGGAGATACCATGCCAGTTCTCAGCCTGGTAATATGCATGCCATCGTGAACGCCTGGCGCGGTAAATGATAGGCATACACCTCTGTCCAACAGTGAGCCCGTCCCTGGACAGTAAAAAAGTGACAGAAGGGATGCTGAGTGTGAGCAATCTTATTTTAACTCAGTTTCGCGTCTAGCCGTATATGGCGAGCGATCGTCTTATAGCCAGGACCGCCGGATCCCCCTGCGCGTCTCGCCTTCTGGAAATCAGCGCACAAAAGACCACCCCAGGCTTGACCGGCTGCGTGAACTGCGGAGAGGGTTTTGAGTTTCCCACCCGGGACACCAACGGACAACTCTTAGGTACTGCGGCGCAAGGTGTTGTAGACAGCCCTCAATGTGCCGGACGGACTGTGCCACACAGTTGCGAAGCTTACCTTATTTACCTATTGACAGCTGGACCGGGGCCCAAGCTGTCCATCCGCCGCGATACCGTGGAGTGCCTGCACCTGCGCAACATCTTGTTGACTGTCCACACAGCCACTTCGTGCGGTTTCGAGTAGAAAAAAAACTAATAGACGATCGGTGGCCATCCGTGACAACGGCGCTTCCTACTAGCTACCAGTTGAACGCTTTATAGCCCCCGCGCCGGACTCGTCAATTCGTCCCAACTTCTCGGCAGTCCTGACGAGTATGGCAATATCACCTCGCTAGACGCTTAATGGGCGCCTCACCCACATTAACTGGTCTTCCACCTGAGATAGACCAAGTAGCCCTAGCCACCATGCGCGACTAACAGCACGCGAGTCTGTGCTGGTAGGTCCTATTTTCCAACATTTTTTAGCGTTGATATTAGACTGATCATACTCCCAGGGTTACGGCGACAATGTCGTGTTATCAGGAGGAACGGATAATCTTAACTCGTAGTGGAAATCTACTGTTGCTTACTGTAGAGCACGAGGGCGGTAGGCACATTGGGGTAAACACGGGAGTCTGTTATTTTCATTCTTAGCGGCACAAACGGGAGGTTCTGGACCGAATCGTAGCATAATATACTGAAGTGATCGCATATATCGGTCGACCCACCAGATGATAAGCCTCTAGTCCGACCCAAAATCCGCGCGGGCATCGGAACAGCAGACAGTAATCGCTTCGAAGCGTTCTAATGACTAGTGCGATCCAAAATGGATTTAGGTCAGATACGGAATCTTCTAGTATAGATTGTTAAACCTGCCTTGGTGCCCAGTTCGTGGTTTACTAACCGCGTCGAGTGATATTATCCTATGACCCCGACCGCTAATCCAGCCTAAGGTGGCAATGCTAGGGCCGCCCCGTTCGATCTCGACTCAACTTTTGCCTACGTCTTGCATGATTTTTCTATGTGTCCGAGGGTAGCTAACGAATATTTCCGACGTCCTGATTGGCTCATCAATGCGGGACCCACATAAGGGCATAACAAGTCGTGGATGAGAGACGAACCAGACGACCGTACACGTCGGAATTAATTCCTAGCCGCGCTGAGCGGATGCGCAAATCCAATGAAAACGCTCTATAGACCGGAGGGTACTTATGTATGGCTTATGAAAAAACGTTGGTACCGTGGTGCTAAGGCGAACACTGTCGCTGAAGGATGCCATTAGGGGTCGGATAATTCCGACCGCATGCGTTCTATTTGGCCTCGTTCGGTTGAGACCAAAATGGCATGCGCTCCTCTGCTCTGAAATCTCGCGCCCTCCAGAGCCTTGTTTCAATTCCGAGTGATCACTCAAGGTACCGTGGTCTAAATTGGCTTATTGTTAGGAGAGAGTAGCAGTTTTTACAACTTTCTCAACGGTAAGCCTCGTCTACCTGCGGCATACACGTTGTTAGAGTTGCGCGTATCCGACGGGAGACGACGTATCCACTGCGTCCGTGCAATGCCCGCGGTCTAGCCGGATTGCGACAACATTGGTTGTAGGGCTTTATGGAACTGGTTTTATTTCAAACTCAGGTCTGGGTCTCGCTTATGTAACCTCGCTACGCTGAATCTCTGTCAAATAGTGCGATCGTACCTGTGCTCCTGCCCGGCTGCCCCATATGCTAGATGTAGGCAAGCGGCGAGGAGGATCGCAAAGTACCCACTTCACACGCCGGCGTACTGTCGACGTCTCAGTGGTGCGTCGACCGTTAAGGCGGAGATTTTAGAATAGTCGAAATCATGACCTTTTTCCCACTCTAATAAGTTAGCACTTTTCTTTAGTTGTACTCTCGTCCGCCGCTGCACATTTGTGCAGGTGCAGCCCAGTATCGTAGCTAGAACCGTCATGGTGCCCCAAAGGTCATAGTCGTGGGTGCTGGACGGGTGTGTCATCCGATTCTGAGAACGTTACATACAGGCCGATACTAGGGACATCATTTCTAGATTACGGGTAAAGCTGAACGAGGACGGGGTTATCCAATTTTTAATTAATTTAGGCCGTAGCCCGTTTCAAGACTGTAGGGAGCCGACCATCGCGGAGAGGACTTCCCCCGTTGCCCTTTATGTAGCACATCGGGCGGCTCGCTCCGATTCGGTTCACAGCTAGAGATTCGGAGGTGAAGCCCTAATTGTAGTCTTCGCTATCTGCTAATGCGAGCTATCCCAGTCATTTGTGCCAAGGAAGGCTATCACCAGAGCACATAATTAACTTGATCACCGTATTTTTACATCACCAGATACAAGAGAGACCCACGGCTGAACCGGTTACTATGGCCCGCTGCAGTAAGCCGTGCACTGATCGAAATTAGGCGATGTATCGATGTATACTTGGAGTTTTATTGATGCTCAGGTCCTACGCGCCGTCGTTCATTGGAACACTACATACTCAATGCCATATGTCTATCAGAATGGCTCGGCCGAATAGGAGGTGATAATACTACTTTGGGCACGATACCGCCTTCCCCGTTTGGTCGTGGTCTTCGGCATGTTTCAAGTGGAAATCTATCCCCCGTCCTTCTTGGCGCGACGGTCAATCCAACGCTTAAAACATTCACAGAAACCGGTCAATGGGTCCCGTTCGAACCACCGGGCCATCGTGGCCGGCACATCTCCTGCTGAGTACAGCGTACCTCGTTGTCTTACGCACCGAACGAAGAAGTCTACTAAGTGCTTGGTGCGTCCAAAAACTTGTACGCACGCGCGTCCCATTTTAGTATACTTTACTACATGGTGTGATGCGGCCTTACCAGTGATAAAGCCTCATCGCATATTATTCTATCTGCGTCGAATCAACACACCGGGGGCCTTGGGTACGCCGGTCTAAGGAAAGGTGAGCGCGATCTGCCTAGCCGGCATTAGTTTCATGGCGAGTGTACCGTGGGTTCGGGTGTAAGATCCCTTTCGGACTCTGGATCACAAGAACCGGAGATTGGTTCACGGCTCTCCGCTCCCGGCTCTGTGTCCGGGCGACATCGTATTAATCAGATAACTCAAATGGTAGTGATTGCTATGCCCTATCGCGCTTAAAGTATTAGACAAAAATGGCACGTAAGTACGCGCTCTCCCCTGTCTGTACGCTGATGGGAGTGACCAAGCATGTTTTCCGGCCGTTTTAAATAGTGTGAATTAACTCGTAACTTGTTTTGATAGGAAATCGGCGCCTGCCGGGTCAACCGGGGTGATCTCGGCCAGCAACAGTGCGAGGGCACGTCCATTGAGCAAAGATCCGCGGGCTACTGTTCGGCCGATTCCGAAGGCCCGTAACTCTAACTGTAATCCCGTTTTAGCGCTATATAGTAGAGCCGCCCACCTAACGAGACATCAAGCGTACTTTTCTCATTGCTTAAGTGCAACCTGGTACTCCGGAGAACACAAGTTCTCAAAACCAATTGGCTGGGGGACGATAAAGATCGCCTCACACAGTACGCCATTATCCTGTTGAAACATCAAGGACCTGCTTACTTTAGACGGAGACCGGAGCTAGGATGCTAGAACGGTTGCAGGTCCCGAAAGCGGACTTTAAGGACAGCAGGTATTCCTCCTGTCACCTGGTTAGTGCTTAGTTAGCAGCACTAGAGCGTTCTTCTATTTCCGGCCAGACAGGTACCGTCTGTCGGTTGCCGTGCTTTGGAGAAGCGATGAATAGGGGGTTTAGAATTTCATCTTCTTTTCTAGCCCTCTTTGCTTCTTGATGGTACGTGTGGGGTCATCAGTCATAAGACCACCCCCACGAATCCAATTCGCAGAGTCAGAGATTGTGGTAAGAAATGGCATATGTGATACATCCTATCAACGTAATATTTAGATAATACTAGATAGTAACGAGGCGCGGGCGATCTCTATTGCCCATACCCCGTCTTCTTAATACAAGTACGACTAATTGAGCTGAGGGAGTTTCGTGGTTCTTCGATCTTGCCATTTGCGAAAATCACGTAGGGCTGTTGCGCCGAAGCCTCGAGCGCAATTCTTCTATACTCGGTAGCAGAGACATTGTATTCCGGCACGCTCGGTCCCAAACTCTACATCACTGGACAATAAAGCCTAAATGGTGAGTGTATTGCTCGCCTCCAGGACTGTACGCCGATGCCTGGAAGGGCACATTGCACCTTGTCCGTCAGTATTACCCGCGACATTAACGGCCTGACCCCAGTACTACGCAGAACACCGGGACACCGTCATCGTGCACTTTGGTGCATGGTCTGAACACAAAAAGGAACGGCATATACTCGCTACGTCACGTAGGAGGTGAACTCAAGCTCAACGAGTTTCTCCACCTTGAGGAGTGGGTTCTGTCTAGACTTTCCTCGAAACGACGATTGGCGCCATACCCCTCGATAAGAGAGGTGGTACGGCCTACGCAGGACTGAGCAGAGGCTGTGCTTTTTACTCATAATCAAGAGCCGCTTTGGTCTTATCTATGATTCATTCCAAGTTAAGGTACTGAGAAGGAATAGGCAGCCCCGGGAGTGGCCCAAAGCTATCCCCGTACGAAGGAACGGACGGCACCGACAGGGTTCATTGCAAAGAGTCTCATGGTGTGACTGTCTCCAGATTCCCGGGTGAAATATACAGTGAAAGATAAGTGGTATCCCAGGTAGTCGCTCTTTTGATTGCGATGCGTACCATGATGTGCCCACAATGGTCGTGGGTCGGTGGATACGGACAGCAAATACACTTTCACCTAGAATGCACCCAAGACGTTGACCTTCTTGCATTCGAATTGCCTTATCCGCGATGGGAGTTATTCTTGCTGACTCAGATGACACGCGGGAGACATTGAAAGGTGAACATATTGCGCAATGCACAGTGATTGAACCACGGAAAGAAAAGTCATACAACCCTGGTTTTGATCTAGCATCCTCGATGCTCTGACTCCTACACCGACCCGGTCGAGGTGCCAGCTAATATTGTCGCGCGTAGATTGGCGCCGGTTCAATCGGTTGTATAACACCACCCGTACGTCATACCACCCTTCTAGCCAAATGGCTATATTTATGCAAATGAAGAACAGTAGCGTTACGCCATTGGCTATAGGCCGCGTTCGGGCTTTGTTGAAGTCGAGTTCGGTGTTGCCGGCGGGGAAGATCGCACTCTCCCCCAAGTAGAAATTAGCGAAAATCTTAACCTGATTCATGAGAATTTCTAGGGAGTGGACGGACGACTGTAGCCCAATTTGGGATCAACCTCCCGGCTGACTCCGCTTATAGGGTGTATCCGCCGTCGAGTGACGGAGACGTTCATTACTTATCTATATGGTCCGAGTGTAATTCCTCACTTGATTAAATTGGGCGGGAAAACAACAGTGGGCGATCATTGGCGCCTAGTTAAAAGGAGAAGATCTCAGGATGATATGTAACCTTTGCCCGCGCACTAAGTTGGTGTTTAAGGACTACGGTTTAACCACCCCGAGATCCCGAAGTAATTGATCTAGAGGAGAAGCTGTGATGTGTACCCCGCACGGCTCGTACCATCGTAGTTCCTCCTTGAATTAGAAACTCTTATGCATGGAGAGACGACTGAAAAACATTCTATAGCACACTATCCAGGATTTTGTCGGCAGAGTCCAAGAATGACGGCGTCTTACAAATTGTAACGATTACTTCTGGCACCCTTGCGCAACTTAATTCCACACACCCAAGTGGCATCGGTCTGGTCCAGTAAGCTTTGCGGCTTTAGTTCCAGTCCTGAATTGGTCGTTCCTTAATCCGTTTTCAAAAGTCTATATCCTGATAGCGGCTACCTAACCCTGGGACAATGGCCTCCCCGGGATTGAGTCAGTGGAAGCCCTTACGCCTGTGTCATCGGTCGGATAACCATCCCTGGCGCCAGTTCGAGAGCGCGCCGGGTAGAAACAAATTGTCGCGACATATACATCCACGGTGAGTGATGTGCGCGAGTCGAGGATGACAGATAACTTAGACCACCTGAACGCGCGAAGAACCCTTTTAAGACTGCAGAGTACAGTGCCAAGTTAATTCCCTCCGACCTGCTTTACAAGTTGTACGACACTCCATATATCTAAATCACTAAGAACTAGCCGGACGCCTGGTGTGAGGGACGGCTTCTCGAGTGACAAGGTACTTTGCGAAGATTATGAATTGCTGCGCTCGGTATTTGAGCCGCGTTGGAGGCTAAAGAAACCAATTATGGCGCGCGGCCCTATTCACCTCTCGGTAAGGTCCGGGCGTAAACTAGATTGAACTGTTCTCCTTGAATATGTACGGCCGTCCAAACCGCCTATTCAGAGACCATCCCCAAATCTGAGAAGATTTCAGCTCCCCCCAGCAGGGAAGCGTGTGCCGCGGGGCCTAACATTGCATATAAAGTGGGACCAGGCGAGTTCTTAGCGCGCGGTTATAGTTCCCATCCACATCTCGCGTGTTATCGGGGCTCCACAAGTCCAGAAGAACTGGCTGGGTTAGACTGTCTAAGGTGAGGAAGTACGTGCCAAGTAGTCCTTTAGGGTGTTGTACCCTTCTGGTAACCGGACCCATTGGCGAGGCGGTTGCGATACCGATCCTAGGTCTGAAGGACGCCAGTTTGCAGAAGAAGATAAGAAAAATCAATTCGCGATTTTATCAATGTGACTCACAAACACAGACAATGTATTGGATAAGGCACTCTCGGGTTGTAAGCGTAACTTTCGCTCGCCGAAGACAAGTTTGAGCGGTCGGGACTTTCGAGAGGATCTGCCGGGCACAGCTGAGGGTCAACCGCCCTATTTAGAGGCAACTTAGTCCCTAGATGGGACTGCTCTCGAGTCGGATAGCTTTCCGACGCCAAGACAACACGGTGCCACTGCTCCTTACCTAGTACTATCCTAGGTGTGCCAATTCCGCAAGTTCTTAGGTGTGAAGGAGGCAGACCTTAGGGATCGACATGTACTAACGATTACGAGCGACACATCCTAATTAATAGCATCGCCTGAATCCCAGTAATTACCCCTATAACGACCAGCTCCGTGCCCACCGGTACCTGTTGGGTTCGCTGAACCTAATTGCGACGTTTCGGCTAGACGATAGCAGATACTTAATCGTAGAAACTTAGAAGGCTTTAGTTACGTTGGGAGTAACCCCAGGTCATACTCATTGATTCTATACTATGAATCTGCACATTCAGGCTGAATGTCAGATGCTGGTAACGCCCGTCCCCATCTACCGAGAGCAGAAGTGTTGTGCAGTTGCTTAGGCATGGGTAAGTAAAATTATTTACCTGACCAACACGATCCACACGCTTACAGGTTTAGCACCTAGAGTACAGGATAGAAATTGACAAATTGGTGGCTGCCTTGATCTCTTATAAGTTTCGGTTCCTTTAGTCCCACCACATCAGATACCAATGGCATAATCGATGGACCCGGTAACCAGCTAAGTGCATGACTTTAAGGTACCTAACAGATGTTGTTGCATCCGGAGGGGAAAGTTCGACGAGCCGCTTTACGCGGAAACCAATGATTTACTACGCACTGAGGGACGATTCTATACGCGTGATGACCGGACTTGACGACACGCTCAGCTCCTGCCGATTCGCACGGGTACGATTCCTGGCACAATAGACCGAGTCTCACCGTGGAGCGCTTGGCTAGTTCACTCAAACTGTACGGCGACTATCTGTGGAGCGAGCCTGCAGTTTCGGCATATGGGCACAAAGTCAGTTGGGATGTCCCGCAAGTTTACCGACTATGTAGCACCGCTTAGAACTATCTATGCCCTATCTTTCAGTGGATGCGGATATATATTAGCAGCCAACGTAGGGGCTATGCTTGGATCGCAACTCTCAATATGCATTCCACGACCCGAAATCACCCCAACGCGATGGGGTCTTGCACCCGGTATGGCATGTCCCTCCCGCGCCGGAATACTTATGGAGGATGCGTCCCCCCGTGCGGATTCAGCACGTAGCAAGAAGTATCCAACAGCGATAGATACTCTCAGCCGTGGGGGCAAAGAATAAATAGTGGTCATTTTCGGCGAGGCGACGATACTCCGATATGGTTGATTTCGCCAAACCAGTCCGATAATTCGTACGGCTAAATGTTAATACGATTATTCAACTTTTTCCTTTAAGAGCCTTCACCGCTCGCGCGGTATAGAAGTCGGGCTCCTGCCCTACCTAGATGCAGCTATCTTACAGTACTACTATGATGGTGCTTTCCGCACAATCGGCATCAACTAGCATTATAAGAGGATTGTGGTAGCCAAAAATTATGTGACCAACACTACGGGGCAATCATGTACACGATTTAAGTGGCACATTATCCGAACCTCGTGTAGACTCTAAAAACATCCGATTGCGTTGTTCCCTGTGAGGTGCGACGCGCGAAGTGGTATTCTGGCTCATGCCATGTCGGTCTATGGCGGGGGCTTAGAAGGGATCGCGGAACGATGAATGGCTAATGTAAATAGGCCGCTTTAAATAAGCCCCATTAGCACCAACAAGTCGGTTGTCTAGAGACCCACTATTCTTAAGTCAGTGTTCGGCGAGCCAACTGACCTTAGGAGTAGCGATCCAGACTGAGAGTCAATCAACAAAGAACCGAGGGCGTATCCACTATGACGAAAAAAAGCACCGATAAACCGGAATCGGTACGAGCGACGCCGGTAGGTTAATTGCGAAACACAGTCGATGACGCCGTCTGTCTGTTCTGAGTAGAGCTCCGAGATAATGATCTATTACACATCGTCTTCGTGGTTCGCGTTGTAACGAATTTCTCCGATGGTGATTAGGTATCAGGCAGTCCAATACGCTTTTCCTCCCCATTGTCGAGCTAACGCCCGTGAGCGTTTAAGTGATCCTCTTTGAGTGGAGGATTAATGGTGCATATAACCTGTTGAACGTTAGCGTAGAAGGATCTCATCATGAGTGTAGAGAGGGCACACATGTGCGCATTCTCCCAGTCGGTTTGACACTCAGTGGGTTCATGTCATGATATCGATAGGCGCCGTTCTGTGGCTAGTGAGGCGATGGATCATAACACTAAGGAGCTAGGACAAATGTTAGCAGGACGGCGGTACCACGATGGGGCCAGGTTGATAACTTGGATATCAAAGCAAAACTAGTGGTAGAGATCAAGCCGCTAATAGCGTAAGAGGACCATCGAAGGTTGCCAATCTACCAGTTTGAGTGCGTGTCATGACCACCCAGGCGCAAGTTCAAGCACTTAGCTTGTTCACAAAACTCTACCGTATTAGCTAGTCTTACAGAAATTCACGTATCCGATGATAGGCAGATTCTGGGGCTCCGTTGCGGGACGTCCAAGTCATGCCTTGTAAACGGAACCTGTAGTGTGGCCTCGACGGAATGAAAGGTACGAATTTTTAAGCTCCACTGGGGCTTAACCGACCGGATCTCAATCCGGTCAAGACCAATGCTCAGGATAACTATGACCAACCTGTCTCATCAGATCCGCAATGAGGATAGTTCTAAAAAGGGTAAGGTATCGTGTGAAAATAACTCAAATTGCTTAGCACGAATAGGGACCCGTAGGATTATCATGCCGATATCGAGGAAGCCCGGAGTCCACAGCACGCGACTGCCGGAGAAAGAGACAAGGTGCGTTAACGGGCCGTCGCTCAATTTTTCAGGTCTACCGCGTATGTCCCTCGGTCCAGCTCCTGGGCGCTATGCAAGACACTATTGCAAAGCAATGGTCTCACTGAGCCCGAGATAGCCTGGGCACTCGCGTCATCGCCTTCCTGGGCGGCCCTCCGTTTGCCAGTATAGCGGATCTGATTATCCATCGCGGAGTGGATGGGGATTGAGGTGGAAGCATTCAGATGACGCGGGGAGAGCCCGTTCACTAGTCCATATTCGATACCGTTAGTTGTCCAGGATGGAATACCTGCGGTACGAGTTCCTCCTCATAGAGTTCATCAATGCCTTCGCGGGGCTCCGGCTTCAACAAAATCGCCACCGGAGAGTACCGTACAACAGCCCCCCAATGTTTACGTAGTTGCGCTCACGCAATAGATCGGGTAACGTATATATCACTAGACAGTAGTCCCCGAGGCTAAGTTAATCTGAAACACCCAACGCCACGTTTGAGTGTTAGAGGATCGAGTTCGCGCACTTGATTGGGATTGGGCAGATTTCAAGAGTACATCTTACAAGCCCATCTACGGAGGGGCATAAATTTAGTACGTAGGCAACGCTCTTCTGTACCATGTGAACAGGTTACGAATTCGGTCTCAAATTATAAGCCACTCATCTGACGAATTGGCGAGGCACCGCGAGGCTCCACCGGGTAGGTTGTCACGATTGACCAGAGCTTCGCAAGCACTTGTAGCATACAACTCAAGTAAGGAGACGTCCCTTCCCCTCAATATAAGATGGGTCTCATGAAGCTTCAGCTGGGTTCTGTTAATATTTTGCCAGCGGCCTTCCATTCCGTCTTATAAGATGTGTGTCTCTTCATTCATAAGGGTCGGAATCGGCTCGATGAGATCCTAATAGACGCTAGACGCCCTTCTACTTGCCTGTGGACGGGTCAAAGTAACGACCGCTTTGACGAAAGATATGGGTACCTTTGCAGCCGACCTGATCACACAGTTATAGGTGACCCTAATACTCTTAAAGCGATTAAAGTGGTGAGTGGAAGGGCGATGCGTGGTTCAATGATATTTTTATCATAGTTAACGGTAGATTCTAAAGTCACGCTGAGCACATGCATAGCTAGCCAAAATAAGCATATGTTTTGTGCGTCTGCCTGGCCTTGTGGTGCCCAGAGAGAAATATGGTTTCTCCCCTATCAACATGGCAACAACCGAGGAACTAGGGTGGCTAACCGACACTCAAGTCACAACGCCGTCTTCTGGGATTCTCTATAGAATTCTCCCCGTGAGCTGGGATCCGTCCATAGACATGAAACTGCCAGGACAGGGTTCTGGTGCTGTATATCAGCAATAATCTTATGATGCGTGAGCCACGTAGTCTAGACTGCGTCGCTCGCACAATACTAATAGGAAAGGTCCAATAATGGGCTAGATACTTCGCGATTCACTGACACGAGGTCTGGTTACCCACTTTTATGTCCCGCGAGTCCTGTGCGGTACACCCATCCGCAGACTCGTGGAGCGGGAATCACATTCTAACCAGACTGGCAATTCACCGTAGATTCGAAGCCATCCTATTGTGTTCAAACAGGTGTCTACTCGAGCAGAAGTTTAGGAAATTGCTCGAAGGGTCGGAAACTCATTGTGATTGAGCAAGTAACTGTCGACCCACTCCCGCTTTGCGTCGGAGGTACTAAGCGGTCTTGTCTGTGTAGATTTACCAACGCCCCCTAGTCGGATAACACAAGGAGAGATTACGCCCCGAGACCGCGAGTGTCCACTAGTTCACATCAATTCCCTACCTTATGCCAAGATATACTCCTGAGCTTGATCGTCACGGACAAAGGCGGGGCATTTTAGGGGGAAAGTCCGCCTCTGTGAAGCGCCCCCAAACACCAGGTGAGCCCATACTAGGTCTACGTGGAACGGATGCGCGCATGCCAGTCCTATGTACTTCTGTAGTTTCTTTGTTCGCAAAGTTACATCGTTCGGAAGTTGTACGACAGCCCTTAAAATCGCTGCTATCTATCGAAGGCTGCTGCCGTTCCAGTCACCAACGAGAGCAGCCAAAATGCCCCTGGATTTAAGGAGCGGTTATTCTGGTAGTGTTTAGTTCCGGTGAAGGACTAGTCTAGAACTCCACCACAGACCACATGCCCAACATCAGTAGGAATCTGAGGTCATGAGGATTAAGCATGCTCACGAAGCTAACTGGAAGTCTACGTGGAAACGCCTACAACTAAAGTAGGTAGGCTGCGACGGTAGGATTACATTATGTGTCTAGGGAGGGTGCTTCAGTCCAGTTTGACGCAGCAACCCTACAAGCAATGAGGACCAACTCGGGAACGTTAAAGTCATCGTCCGAACTATAACCAACGTGCCCATTACACAGCGCTGCTACGAATGACTTCTTGGGTAAGGCAATTCAACCTTTGTCGGATGCATCTATCCGCAACAGGACTGGTCCGAGTAGCGGTACAGGTCGTAAATTACCCGGTTACGTGACCCTGCGCCATACGCACTTGCTGTGCATCCTAAATCCCATGATGTCATTAATTTCGCGCTGCTCACAAGAAAGCCGACTCCGCAAACTGAGGGCACGCATCGTATGTTCGGGCGTACCGGACAAATTACTTTATCTGATAAAGTTGGGGTGATTTAGAGGACTCCATCGATCTGAATAGCGATGGGGGTCCTTAGATGCGAAGCATACAGGTGACGGGAGGTAGACCCCCTACTCGAACGTTATGTGTAGGATACAGTTACACCCCGTCCAATAGTTAGTTGTGTATGCGCGGACGGTACTTCAGTTGTATCGAACATAGCCATCTGCTTCATTTGATAGCACACTCGTGTGGAGCACGCGGTGTATGGTGCGGAGTTAGAGTGTAAGGGCAGTGGGTACGCAATCTTACTAAAAGATAGTAGTATGTCTGCAATGTGTGAAATTGAATGCAAAGGCAGCATTGCTGCCTCTAAAAGGCTTGTATCGATTCTCGACTAAGTGAATTCACACACCCGTCAAAGCATCACCTGCAATAACATTGTCGAGGGGTAACCGGTAAAGTCGAATAATGCACGGACTGACTAGACGGCAATAATAAGCAGGCTATTTAATGGATTACCCGCAGAATGCTCGTTGGCCAAGATCGCGGACCAGTGTCAGTATGTTCTGCTCACCCCACAGGAAGAGTAGAAGGTCTAATGACATGTCCCGCTTTATGGGTTGCGTTTACTGCACCTATTACACCCTAGGGCCACAAGTTGCCAGTAGTCCTCACCTTTCATGAATCCTGCGGTGTAAGGACCTGAGACCCAGACGCACAACCTTTTTGCTGGAACCGGACGATACCCAAAAGAGTCCTCAGGTATTCGTACCGTACTTGGGACTAAAGCAATATGATGGAGTTACAATGCGGGCCTCCAACGCGAGACCTAGCGATTATGTTATTTTTTATGCACGATTCGATACGGAACACTATATCAAAATTACTGATGCACGTTTTCGGCACAGCTACCGAGGGTGTAGAGGTACAAGCTCCAGCCAATCAGCCGCCAAGCACTGCTTGGTTATACACCTTTAGAGGAACCTCAGTAGGCCCAGGCAAACTCCACACCGCTTCAATCAATGTGCTGCACCTTGTAGTGGGGTCAATACTGGTCGTGCGTAACTATGGTATTACAAACCGCCTGGTATAGCCAGCTTTTATACCTGATTCGGTGTCAGATAATGGCTCATAGGTTGAGGGCAGCCAAGGGTCTACGACCGTCGTGACTTCTACATTGGAGCTGGCTTTCCTTGGACCTCACGATATTGAAGGCTCCCAGCAGGAAATATAATAGCCATAGTCTCAGAGCAGTGCCTATTGCTCAGGGGTCCCCGCTCACGGCATACACCTCTAAAGCTCCCTAAGTAGGATGGCTGGACTAAACTCATGTCCTTCTCCCCTGTTTACCCAAACGTCGTATGCCATTACAGGCAATACATCATCGCTTAAGGGATTCCTGCCGGGCCGGAAGATGGAAAACGCTTAACGGCGACCACGCTTTATTTGGGATTATAGACAGGTGGCTAAGCACCAGGTTATTCTGACCGCTATCGGTTAGGGACCGTGCAGGTCTTTTAGAGGGGAAGGGGATACCAAAATCAACCAGGTACGGTTTACGTCCTGTCACGGTATGGCAGGTTTATATTGTGCCCTCATTGTCGGGAAAACCTTGTAAGAACAGATGCTTTATGAAAATCTTAAGTGCCCGTTAGTACGTCCTTCTATAAGGAGCTAGCAATCCCGGCTTCTATGACCAGCTTAATGACACATTTTCGTGTTGACGCGCGCTCTGGAGACATCATCAGGACACAGAGTCGAACGCGATTGTGGTGCCAGGCCGTACCAATGTGTGTAATCAAGCTCTGCTGTACTTACGAGCATCCTACGAGTTCGGTGAGCTTGTCCCAGTCAAGGAGGGGAGCGCCCATCTATCCCTAGGCTTGTGCTGTGTGAGGACTGGAAATGAGATTTTGACCATCCGTATCTATCGATCTATAATTAAGCGTGCGGGTGAGTTATAGTAACCAGCCCTGTGAAAAATATTGCTGTAAACACATGTCCGCGGTGAACAGAATCCGGTACCAGGATCTCGAATTGTTAAGCCTTTTGGGACCCGTAGGGATACTTAGCGAGTGGTCCCAGGACTAGCAGGTATGATAGTAAGCCCAGTCAACTAGAGCGTAGTGCGAGGAGAGCCAACGTTGCAATCAGTCATGAATGACACCGTCAATACCTCGCCCAAAGCCATTATCTGCGGAATGGCGCGGATATAAAGCCCGACGAAAGAAGCAGAGCTGGTCTGTTCCTAGAAGTGGTGCACAAAGCAGCCTGGAGTAGCGAAACGGGTAGTATTACATGAGCTAAGACTTTGGTATACCTACTATTTTTTGTGCAGCAGAGCCGGGCCGTTGCTTGCAGCCGGACCAACCCATAAATTTGCGCCGGCCATATTCCGAATGCCTGTCGTCAATCCCTCCCCTGGGTCCAACCTGGAATACCCTCGCCGGTCAGGACTTCAGCTCCGGATTTGATTGCCGATCATCGTTGTGGCACGTTGTTCTCCGTCAGACTCTCAAAGCTTACTCGCCGACAAAAGTAGACATCCGGTGAAGGTTCTGTTAGCACGGGTCAGATTTAAGATAACTAGGCTTAGCACCCAGATGGCACTCTTACTGGAGACACGGTACGACTCGCAAGTTTCGTAATAGCAAGGGCGAATCGTTTCCTCATACGGGATAAGACAATGAACCTTCCGGAGCTTCGTGCGGGGAGATGGGACACCGATGTAACTGGACCCTTATATTCCATCCAGGGTGAGTAATCGACATCGATTGAATACGTTTTCCCGATTATTACGTAAGAACACGTTAGGCTCCTGGGAGGGTTGGGGTCCCCATCCGTCGTGCCTCAGCCTCTTTGCCTTATGAAACCGTATTCTCAATAACGACACTTGCTATGAGGAGAGATCATATTCTTATCGGCCACCAGATAGGGAAACGGAGGATAATGATCAATTAAGCGGCTGCGAGGTAAAATTACGTACAAGCGGCCTTGATAAGAGTCTAGCCCGCATCCTAACCAGTTGGGTCGCAATGGAATTCCTCGCGGAGCAACCAATACATGGATCAGGGGTGACCATCGTCGGACACGTACCATCGGTGGCCTACTTCCACGTAGGTGGATGTGACCTTTAGGTTATAGAGTACTTTGCGTTGGTGAAATTCAGTTGTACAAATTTCTTATCTTAGGTCTGGGGTGCGGGCGAGGACTGTAAAGATCCCCTAGTGACCCCGGTGTAATTGTTCCTAATTGCATAAACTTGGCACCATCTGTTTCCTCGCGGAGTGAGCATGGCTCCCATGTAAATGGACGAAGCCCACTGATTGGTAATGCGACTCAGGATACCCTATTTGACTGCGCTCTTTTAAGGGAAGGGACTAGTCTCGTGGCTGCGCTAAGGAGCCCATGAATTGCTGTATCTAATGGACTGGTTACGAACAGCGTGGACACCGGGATGAACGACTGAATTAAATTAGAAATCCAGAAAGGAGGCGGGAGAGCTATTACTGTCGATCTTTCTACTGATTAAGTGAAGCTAATAGCCTGAGCTTAGTCTCTTAAAGACTAGGAAAGTGTACTTTTGATTACTTGGTCGGTTTCATTTAGTCAATGGACGAATTAGATGTCTGGTAACAGATTCCTCGTTACGTTCACAGAGACCTTTGCCGTCTGGCTCACGTAGTACTATACTCGGGTTTCGATACCGATATCAGTGTTAAACCCTGAAAATCCTCAGTCCCAAATTGCGTCTCAGTAGGAGATAATGAATGCGATTGGGATCTCATTTATCTTTGATGCAAATAAGTTCAACCTCCGTTCCAAATTCTAGTCACGTGCTGACGTAGATACAGGTCGTCCCTCCCGGGATCACTTTCTGTATGAGCTGTCTGAATGTGCATCACGCATGTGCAAGTCATCCAGAAATTTCGATTATGTTGATGCGTATGAAAGAGATTGGCGTTGGCAGCAAAATGGAAATAGGACCCAGAAGGCCGATCCTATGACGCTACTGATCATGTACCGCCCTGAGCTCGGCCATGAAGGCTAATGGTGCCGCGCCAGCCCCCTAGCCAATCTAGTCAACTTGATTTTTCAATGATGCGCTACTTTGAAAGGTGCGAATATCAACCCGCCCCGCTGCTAGAACACTTATATACATGTTCCACCCACTCCCCCTGCTGTTGTGAAAACTTATTCCAGCTAGATTTCTGGCTACACCGTGTGACGTACAACAGAGTAATCTAAGCAACAGTGGAAGATGGAGGTGTCTTACAAGAACCGAGTGACAAACCGCTGACGGGCCGGCGCTCCACTGTAGCGAGCTCACGGGGAACAGGTCTTCTTGCAGACGTGGTTCGACCGTCTGCGACCGAAGCGCATTGGTGCGAGTGCATCATAACCCGAATGCACGCAATTTCGACGCGTTTGGCCCCGACAAGCCATTGAATAGTATTCCGGGTTCTACTACTAGCAATGGTAGGCTGTATATGTAACGTAATTCTACGTACTCAGTACTGGTATTAGGCTGCCCCCTCGAGCAAGAGTCTGCGAGTCGCTCGTAATGTGTTTACTTACAGGAAGCAATGCAAAATGGGACTAGCTGCCACACGACTGGTACCACAGCCGCGAGTCTTGTGAGGGCACACGTGAGGGCTTGTGCGCGTCTGGCATCACTGCGAGACTAACTGATGCGCTTCTATAATTCGCCGCTATAGAGGGCGCTCCTCAGTTAGTCGGGTCCCCTCAGCTGGCCTGCCCCGTACTATCTAGGAGCAGCGCAAAGGATGTCGCTTGCGCACCGTGTGACATTAAGTAGCTGCCTGATAAGCTGTAACAATGTAAGCGTAAGATCAAGATGTCTATTCTGCGTACCGCTTTTCCTTTTCCAGGCCGTTTTGTGCGGCACCGGTACTTAGTCAGGTAGACCCCCCCGGGTACCGAATGGCAACACTATTAAGGCCCTCTCGCGAGCGGGCCTAGGATACTCATCGACGACTTGTCTCACTTGCCCCGATCCGAGAGTAGTCCCACGGCTTGTGAAGTTCTTAGCTTCATGTAACCACATAGCTATTTCTCTCAACGTAGTTCTAGCCGTCTTAAATATGGAACACTCGTAGCGGTACGCGTATTCCAAATCAGAGACAATTTAACGCCCCAAGGGACAACCGGAGCTCCTTCATCTGCGGCCGCAATCCTTAGAGATCGTGCAGGGATAAGGAGCTTGAAATTCTTACGCTACTTCGAATGACGATGTGGCAAGGGGAAGAATTGGCATGCCGGTACGCCAGATTTATTCAGCTGGCGTATGAGCTATTCATCTGTCACGATATAGCGGTTATCCGGACAATGGGGCCCCGCACACTATATGGGTTTAGTTAACTTAGCCCGTACACCACACGGCGGTTCTGTTTCTAGTTTGACAGCTCTATCGTGGCCGCACTAACGTGTCCCCACAATGTGGCCCTTAAACCTTGGTGGCACTCCTTCCGGCCCAAGCTCAGGCGCTGCGTACGGCGAGCTAGGGCGGTTCTCTCATACTTTACATTCTTATGTCAACGGTAAGCTGTTCTAATGGGCCGTGCTTCGTAGTGTAAGTTTGCTGGAGCATGTCACTAGTAAAGGAATCGGAACAGCTCACAACTTGGTCTCCGCGAAAAACGTTCGAGAGCACCACTAGTCTGAGGCGATATGTACCTGATTGGTCAATATACGTATATAACAGCATCAATTGTGTTGACCGGCACGGCGCCCCGCGCAGGAGTCCATCGTAGAAGGTGAAACTCTGGCCATCAAGTGATACTCTAGCATCATGCCCCAAAGTTACTCACTCCTCGAACTAACACTGGCCACGCGTCTCGTGCGTTCTTCACCAAATGATACTCTAATAATAGCGTCCCCAATGATCCCCCTTGTGGACATACCGTACCTTTCATTATATGTCGTTTCGTGATTGGGCACACCAGACGTCGCCCCTACGAGAGGGGTGTCTCTCTAAGCCACTGGAAGATCACAAAGTCATCTCTCTGTAATCGGGCTATGTAAGATATCCCAGATATGCGTATGTGCCTCTATGCCAGTCCTGAGACCGCCGTTCTCATTGGGATCGCCAAGTTTCCTCAGTATGGCCTCGCAGCTTACCCCACGAGAGAGCCCAAATATGTCCACGTCGGATTCTTCCTAAAGACGAGTACACATGAGTTATTCCGACCCGCTGGCCGATACGACTGACTTGAATCTAACCGCAAAGTACAAAGAAAGAGGTGCAAACAAGCGTAGTTGGTGAGCTGTTCCCTCTGTGGTAGTAACTAGCCATAGGCATTCGGGGAAGCGCCCGCAAGAACGACCCAATATTTCAGAGTCGGTCGGTGGCGGGTAAGTTAGTATCGCAAGAACGGTCTCACAGAGGTTGAGTGGCTTCGAACAACTTCCACCTTAGGATAGACCATTTGAGACCGTGGCACCATTAAGAGGAGCGCTACTGGTGTCAGTTTCCGCGATTCCAGGGTACAACATTATTAGCTTAACTTATGTGACTCGCTGTTACTACCTAGCCATTATCATCAAGAGCAAACATTTCCTAGGCTAGCAAGAAGGCGAGCTTACGGGAATGTCCGCCAGTTGCCCCGAGGTAAGTTGGGCTAAATACCTCCGACCTAAAACCATTCGGAGCAGCATCTTGACTACAATCACCGCTAGTGTCGACACGCTAAGCCAAAAGGCGAACTGTAAGGAGACCGACTCGTAAAAGACAGGGTCAGAGTATTACCGATTCAACCGTCTACGATTAGCGTTTGCAGTTTTAGCAGTTATAAGCTGCATTCTGGATGTCTGTATCGGCCATTTTATAATTAGCCTACTGCCTGAGTTTTATTCTTAGTACTGTTAAGGTATAGCGGTCAGCCGGCAAAAAGACACAACCTTTATTCAGGGACGCTTTTTCGCATTGGCTCGCTCCTTACTTCCTCGTCGAGAGGAAATAATCTGTAAGGATACTGGTGCAGCTAGGTGGCTGCCCGTCATAACAGAGCCGCATTCTCAACTTTGTAAGCACGTTGGCGTAGGTGGACCGGTATGGCATATGTACGGGATTCGCACGCCCTTACCACGTTACTCGTCCGCGATGTGTTACGGTCCCAACCCCTGGGTGTTGTTTGACCTCCAGAATCACTAATCGGTGCACCCGCCGATTACGAGTAAAGCATCTTGGGCCAGGGCACCGGACGTACTAATCCTCCCCATAATACCGATATTGTACTCTTTCTTCCTGCCGCATACTTGGGGCTAACGGCCTTTCACTTGAATTTTTGGGCTGGACCCTTGAGTATTTCTCAAGCCTAGAGAGAGAAACTTGGGAGTTCGTTGCTTAGACCGCACGAACCAAGGTATCATACAGCGCGCCAGTTACTGAATACGATGCGAACGGCCGGAGAGGGGGCGTGCGGGGCGATTTCCAAACAGGTAAGTACATGCACTCTTGCCCGCTCGTCGGTCGAAGGAGCATGACCAATAATTATCTGAGTGCACTTTACCTCCACCCGAACACATGCAACCTTTGCTGATCGGTGAACCTCCGACAGTCCAATTCAACCTCTGACGTGGAATGACGGATGTACGCGCATAGTATTGCGATATACCTCGGAGTATACAAGCGCGAACAAGTTGCTGACGACACCCCGTACTGGAAGCGTAAGTGTGCAACTGCCCATAACATCACTGTACGGACAGAACTGGTAACCCAGTGCGGTAGGAATCACAAAAGATAGACAAATGCATGACTTCAGGATATTCCAACGAGCGGGAGCACTGTGCCGAACATCTAGCATCCCCCACTTTTGACGCTGATAGAGGCGCGACCGACTGACGAGAAAATCCGGCACACTGCATCGTGTGTACCTGATGGGTCTTGCCGTCGAGGGCATCGGGTCTTGCCTCACTTCCGATGAGTGGCACTACACGACCTGAAGTATATAGACTTGGCAAGGGGGCAGTAAACCCTGAACATCGTAATGTTGTCCAGAAGAAAACGGATCTGCTCGGGATGTGGATCCTTAGACGAAGATTCGCTTAACAGGGCACCTCGCTCTCCGACGGCTGTCCGACGGTATCTCCCCTGAGGATCGGCGAGTTGAGGATATAGCAACCATATTCCTAAATTAGCACCAGCAGAACTGACTCTCTATGACCCGAAGAATTATAACGCGCCAGGTTGACTTTTCGATTGATTTTCTATGGGGTGGCCGGATCGGACACGCCCTGTTACGGCAGGAACCCTAGTAGTGCGCACTTCATAGTATTGTCGGGTCTGCCCTAGGGGAGTCCTGACGTCGCGCTGTCCTTAGCCTGTCGAATAGTTCATGCACGGGAAGTACCGATATAGGTGCCTGCGTCTATAAAGCTATTGAATGCTACCGATAAGCTTATTGGAACGCAAAGGTGGATCATGGAAATAATCGTGATGTGGCTCCCAGGAGCTTCGGATCCAAAAGATGCTTATCTTGAAGAGACAGATACCCTTGGGCATAGACTGTTCCTCTTCATCTGAGCCCATCCAGGTCTCCGACAACGTGCGGATGACGGCATATACGCGACGAGGAGCATCTGTTGTCGTCAGCTCTCTTTGCAGATATGCGCACTTTTGTTGTTTATAATTTTTGGGGTATAGATGAAATTGTTCTGTAAGGCCATTGTTGCAGCCCGACTACACGAGGTATTGCAAGACTAATACTATTCGGGTTATATAATGACCTAATCTCCCCCATAAAGAAATGGGGCGATGCACATTGACCAGCGAGTTCGTCCCACGATGTACGCACCGCCTCTCTCCGTCGCAATCTAGTGTGCTGGATAACAACAAATTGTCCCCCAGCCGAGATCCTGTGGATCTGTCGTAAAGAGACACATAATACGATCCGAATTTGACAGTGGCCTGGCGTCGTACGAAATGACGAAGCTAGTGCAGGGTAGTTCAGTCACCAACGCATGCGTCTTCTGCACTGGCAGATTACACATACCAGGCTTTGGATTCGTGTCTCAAACCGCACCATACTTGCGGAGCTGCCATTCACTCTTGGGATAGCCATTGCAACCATTTGAAACTGAGTTCGCCGGATCAAGGACCACCATACGGCCGTCCTTGTGTGGCGTGCACGTTTGTTGTAGGTTAATGAAGCACCGTGGGCCGATGGACGCTAGATCGATTCCATGTTGTATCCCTTAATCGTGGTGTTCTTCTTAGGGACAGAGCGTGGGCCAAAAACTCCCTTGGATGAGTAGTGATCATAAGCTTATCATAGGACCACTGCGAAGCTTCAAATGCGCACCGAAACGCATATAAATAGCATTCAACCTACGCGGCCCTGGTGGGTGGATAAAGGATAGGGCTATATATAATTCACTTCAATAGATATATAGTAGGTACTCGCCCCACCTCTGACTGGCGGAATTTCATTACAGGACCGCGTAAGAAGTAACAAAACCGTACCAGTTACCCCAAAATACCAGGCCAATACTCCAGGGAGAAGCACTACAAGCGTTAGGTGCATTCCGGATAGGATAGAGTACCGCGTACCCCCACCCCCCGACCTGTAAGCTGATCATCGTGTCCTTACCCTATAGATCCAACAGGCTGAAACTCGGGTGGACGCACGCATGCGCGAACACGTTCCATTCCTGATTGTAAATAAGACGACGCGCCCTTTAAACTGCGAATGAATAATCTGCTAGTACCCTCACGATGTGAGCGCGTGCTACCGGCCGTGTACTTTGGAGGCGCTGTTTGGAGAGGACTTAGCGCCATGCCAATAGAAACACTAGGACCGAAGCTCAGGTGCGGGTTACCTCTGCAGGCCGAAGCTTCAGTTTCTAACAGTGGTAGAGAGTGGCCTGTTATGTCGGAAAATAAACGCTCGGCCTCAGAACTTATCACATTGTTCAGTCAATTTTAGCCACTTAACGGTGGCAAGGTGTGGAGAGAATATTGCTTCTTAATGCATACATGACAAGTTCCATTAGAGACATCTTGACTTGCCCCAGAGATCCAATGATTCAGTTCTTCCGCGTTCAGTATAGCTAATCTGTTAAGGACCAATGGTCTGTAGTGGGGGTTTCCACGATCGTGTCTATGCGCCGATCCTAAGAACTTTGAGCTCCCTACTCTGTAAAGCTTTCGGGCTACAAAGTCGAGTCATCTGCCCATGTTGCTGAGTATAAACTAGCCCTACCGTCCAAATGATTCACCTACTCCCTTCCCAATTTCCTCGAAGCGGGCGCTAGGTCTCTGGTAACGGCATACAGGGTACGGGTAATTGTTGTCAGACGGGACGAATTGGCCCCGAGCAGCTTTGAGCTCATGGCGCTAGGAGAAGCAGGATGAAAAAAGAGTCAACGGATGTTCCTCTTGACACGGCCAGACCGCCTACGCTAATGACATACCTTTATCCGGCCCCATTGGCGCGCTATCACGCTAGGCGGTATCGAGTTGAGTCTATCTATTCTCTTGTTATTCACTCAACAAGCATCGACGGCATCTGAACATTACAGGCTGAGCGCGATAACCCAGGATAAAGAGGTGCTTTAACATGTCGATCCATCTTAGGACCCAGAAGGCGCTCGTGTAGGTCGCAGGAAGTCCACATTCGTGATTGGTGTAGCCTTTGTGAAATCAGATGAAGAATCTTACTGCCGCACTTTGGTGCGCGCCGCGGCGGTTGGCAGCGACAGATACTGTTCAGGTCAATGTGATCCCGGGTGTAGACCTACGAGGGACGCACATGCCAAGTCCAGGCGGTGATGCGACGGTGCCATATAAGCCGCTAATGCAGTGAGCAATAGTTTAGGAGGCGGACATATTTTCATGCTTTAAATTTTCGTCAAAGTTGTGGGCTTGCGTGATTGAGCACGTAATGACCTAACCCCGCTGGCCATATCTAAGCTTGTTTGTGGAAGCCAAGGCTACTCACACGGAGTTTCCTACCGCCTTGTGGAGTCCGGACAAGACGCCTATGCAAGTGCGAATGGCCGTCTCCATTTAGTGGGCTATGCGTCCCCAAAACGATCTCATGAGCAACCACTTACTTCGCCAACGCAGCTAGTGCGTTACGCATTTGGTACGGGGGTCAGCGCCCATTCTGAACTTACTCCGCGGGTTCGCGTCTACCTTTGGTGAAAAACAAACATCTTTGGGGCTGGAAAGCTGGCCCATTAAATCTCTCTCTTTGTACCCCGACGTATAACAGCCCACAGAATGACAGCAGCTAACGAGTATACTAAGATGCCAGGGGAAGTATTCCCATGGATGCTCTAATTACGGGGTATGCCAAATCGTTCAGGTTAAAAGATATAACGTTTGGGTTAGACAGATAACACGATTCACGTGCAGCAAGTATGCCTGGTGTCACTCAGTGCCACACATGGCCCTAAAATGGTATGGAGAGGGCCTAATAATAGTTCAAGGACACCATGTAGAGATGGGGCTTTCCCTACTTGAAAAGAGGAGCAGGTATCACACTAAGGCGCTGAGCATGCAATTCTCTCCAGTTAAAGGCGTCGTCTTGTGCGCTCTTGGGGCAATGTCTGTAAATATCCGAACGTGTGAGCATTCCTGTAATTCCAGCAAAAAGGCGGTAGTACGTCCAATACCCTGCGGGTCGGTGTTGTTCACCATCTTACGATGGTTTCCACCTAAAACGGTATCCTTCGCGAGCTAGACCAGAGGTGACAGTTCTTCATACGAACATCCGAATCAATGACTAACGCACTCCTGGGGGGACACTCGACCAACATGGCATTGATGTTTGAACCCGGTGAAGCAACGTCGCCATCCACTATCCTTGGGGTAGGAGTATTCAAGAGCAAAGGGGAATAAGGAGGGAAAAAAGGCTCTCGTTCAGGCGTAAAGTAAGGTTGTACCGATATACACACATGCAGAAGTTTCGCAGTTCCACAAACTCATAGCGGGGGTCCCCTTTAACAATGTGCTGCGTGCGGGAGACCCGATGAGGTCACTCAATATGCACTGGGACTAAAGAACAACGACATGGTGACCGGCCCCAGTCGGTCCTACGAGGACACGTGGCACGCTGCCGTTGCCCTACAGAGACGCCATCTGTCTTTATGAACTAGGTTATAACTTGACATGTGAAACAGTAAGATTGCTCTCGCGCCGCATAGCTAGGGCCATGTATAACTATAATAGATACTAACAACTCTTCTCTTAGCGCGTCTAGCTCGATAAGTCGAAGACTTTCGGTGCTCGCTGCACTTACGTTCCAGACATCGAACGTTAAGGTGTAACTGTGATCGCTCATAGATAGACACGACGTACGAGCCTAACTCAGGATGTTTCGCTATTAATACGGCGTCGCCTTGACGGAACTTTGATCATGCAACCCTGGACTGACCCTCGATGATGATAGGCTCGCCTACCCTATGCGTACCGTGCTACATTATCGCTGTCGCCCAGGTTCTAGATGGTTCAGCGTTGCGCGGTCTTTCCGCTAGTCGCCGCGCGTATATTCCCCGAGCCATGGGACGCTGGCCACGCCCTTCCTCTTGTATTCCTATACGTCAGTATGGTCACATCGAAGATACTTTATCGGCTCGCGTCTAACCACGTGCGTTCTGCGGTAGTCCATCCCCCCAAAGCAACGCAACCGATCTAACTTGGCTACTTGAGCCCATAACCCTCTGCCTCGTCGCAGATGATCACACAGAGTCATAGCCGGGCGGATTGTAGCCCGGTGATCACATCAATAAGCAATATTTTGTGCCTCCAGTTCTCTAGGACAATTTGGCTCATAGGAGAGTACTTATGCGTCATATGGGGACGGATATTTAGTGTTAAGACAGCCCTAGGCCTCGGCCGGAGGCACCATGGCGCGAGAAGGATGCGGGTATGTGTTGCAATAGCGCAGACCCGACCGGTTAAAGGTTGCTAAAAGGATAGGTCCGTTCTTCGACACGCGACGTGGCGTGCCTCGGCTGGGCCGTGCAGACTACAACACCAGCTTCGATGATGCTAACCCGTCTCGAGCAAGCATAGCGCTTTGAACCGGAAGCAACTCGGGAAGAAAGATCACGGCGAAATATCGAGCGCTGGGTCATTTGGTGTAGACATTACTGATTCAGACTGCCGGGTTATGTTAATAATCGCGCGGACACCACACACCCCATGGCCGCTGGCTCCTGTATCTCGCCACAAATCAACACTTCGGGCATTATTGATCCGAAGCTCAGTAGAAGATGTTTACCGACCGAGGAGATGGCGCTTTCGAAGCCGGCAGGCCCCGCTTCGGCCGCGCCGGCAGCTAGTTGCCACTGCTGCGGTAGCCTAGAAGAACGCCTCTGGCACATCATTTCTCCCAGTTTACCACTTAATAGTAATGTAGATCCCCGCCCTTTTCTCACGAGAACACGAAAGTGCATTATGTTGAAGCCGAGGACCTCCGTTGAGAAGTTCCGCACCCATTTCTTGAGGGTATTGCTGACCGCGAAAAGATCTTAGATCATTCCTACGCAATGCCTAAGGAACATACTTGTCCGCCTCTGCACCTTGCTGAGGGTTCATTGGTTTTAGTAATGAGGTGGCCCAATGTTCTTGTGCGTTCCTTCCCCGGTTTTACGCGCACAGCTCATCAGAGGTCCGAGAGTGGAGACAGAGGTAGTTGCGACGCGCTGGGTGATCGGTAAAACGAAAGACGTTAACTAATCAGGCTAGACCTACGAGATACCTCCGGAGGACGATCGGACGCAGGTCGTTACACCTACTTGCACAGTCATGCGGTGTCCCGTAACCACATAACAAGAGGGACAACGAGCACCTCAACATGACTACCCCACTGTAGACGGAAATCACGAGGGTCCTATAACTACCAGATGCCCGGAGTAGAGTGAACGATTCATTAAGGTGCGACCTAGTAGAGTCGCTGGGTGGCGCAAGCGGACAGATTGACGGCGTACTATGATAAATGCTCGCCACCATCCAAATTCACCTAATGTTATGGCAACGAGGCGGTAAGGTTAGGCTCTAGCGCTCCTTACACCATTGATGTACGGCTTCTTTCAGTTTACCAGGAGTGGTATCGAATTAGAACCAAGCTGGCAAACGTTGTGACCTATCGGGCTTAACAACTCGCACAACGTGAGTGCCACTCTCTCACGGAAGGTCCGATTATGTTGAGAGTAGTTCAGTTCGGGGCCTACGTCGCATAGAAGTCCATCACACCGGGCGTACCCTCTAAAAGTTTGCCTAATTTGCTCTCCCTCTGGGGGTCGTCCTTGTGTGCGTTTCGAAAGAAGTGATAAGGTCCATACTGGTATAGCTCGATACGCTTCATTCCTGTTGGGTGTACCAGACCGTCTACGCGCCAGGTGTGCCGGCAAGAATAGAGGTAACACTGCGGAATATGCCTCTATGTTGCCATGTGCTGTTCCACGGTGTTAGTGGACGAGAAGATGGTCCTCTCACGCCATGAAGGCTCTCCAATAGTCTAGAACATGGCGTTTTCGCCCACCAAGTGCCAGGCTTGCTGTCAGTTGATGACGTACCGCTCATACCGGAATTTACACCGCTATCCGTTGAGAAAACACGATTGCTGGACGGAAGTATGGATTTATTGCTTTTCTATACTATCTAGCGCCGTATGGTTAATATTTGAACAGCGGTATATTAACTAAACTAGACCTCCGAAAACGATAGGTGTTTCTCGAATGCGTGTCGGAATGATCCCCATTGTCGCTGGCCCGTTATTAGCTAGCCTCAGTAATTCCCTTGAAGATACGGCGTAACTTCTGCGTGTGCTTGTGAGGCAGAGCGTTTTTCACACAAAGGGGGGAACACCGCAGAGAGTGCCTGCACCCTTGTACGGTTTGGCCCTTCAGAGCCACGCATGCAGCGAATATCGGCTACCAGAATTGTTGGTCCTCTGCAGGAGAACTACAGCGTGTCAGGCATCTCCCAAGAACCGGTAGGATTGGATCGAGGGAACCACAACCCACACGATATGTATACTCCAAGGGGAGACAGGGCTGGACTTGCCCGTCAAGCGGAATCCCCCGTGATCAAGGTTCAGTTATGGCGCTATGTGTAAGAATGCCTCAGCGTCTATACTTTCATGATGCCGTGCTGATCACGAGGATCGCCTCTTAGCTAACTTAAACCGCCAAGTCAAGCCGCACATCTCAGAGTTATAGTTCACTGGTCTCAATAGGCGGCATTGGGGAGGGGTCCTTACACCCTGAATCGCACTGGCACTGACCACGAACGCCGGTCAGATCCGCTACGAGTGCTACCTTAGCTAGGGACGTAGGCAAACATTGTTATCCACAGCCCCAAATTCTACTAGTAAGGGGTGTCTTTAACATCTACATCGTCTCTTTACCAGAGGCTGATCCGGGATGGAGCGCCTTGGGAGGCTGAGGTGCCTCCAGATGTTAGGCAATTCGTTCGCGATTGTGCCTTCGCCGACCTCGGTTCATTATATATAGTTACGCTTGTCGTAACGCGAGTACATCAGGGGTTTCCACTCATCCTATCAACGACAATGGGAATTAAGGCTGGCGCCTTAGCAAGGCTCAGTCGAAGGATGCCTTCCTAAGCTCAGTGAAAGTCTATAGGTCTCTCGCGTGTTGCTAATGCCCTGGAGCGTTTACGAAGCTGCTACACGGTGGTAAAACCGAATCATAGTACTTGGAGTCAATGATAAGACGTGTAAGCGAATCGAGACGCTTGAACTACCCCCCTCGCGCTGGCCAATTCGCATTTTATCCCGGGGCGTGTAAAATTGCGCGGCTCATTCCAAGAATGGCGTGATACACTACCTGATGGGTGATCGTTAGGCCCTCCGCCTAAAATCCATAACCTCTGCTCCTTTTCTTAACTTGGTAGACCATGCCCACAGGTGCTGATGTCACCCTATGCGCTGAGTCTCTGTAGCGGACGATTCTTAATTACTTCCCCTGCCCACGCAGACCTGTAGGAGCCTAAGTCACCTATTCCAGAGCCATAGGTCGAAGGCACGGCAGCTAGGACGAGACTTTTGTAACAATGCAGCTCCCCGTTCTGTGGATAATCCAAATTTCCAACGCGACGTCGGTGGCATGGCCTGAGCAATGCTGCTTGACCGCATTGGACTTGTGCCGTATTAACCTATTCCAGCGTTGAGCGGCATCATGGCTCGGCCTGGGATCAATATTCGTTTGGACATAGCGGGCGGTACTTATTTTCCTTCGATCTAAGGAGTCGATGATTCGCCCGAACATGAAACCTCCGAAAGGGAAAAGGGTAATCGTTTCGTGCACCGCTGAATGTGTGAGGTTAGGCGACGAATGCAGCTTTCTAGCCCGGCTACTCATGAGTAGATGCAATGCGCAAACAACTCCGTTATCGAGCCCCCTGATGCGCGCTCTAGTTACACGAACTAGATCCTGGATCACGTGCCCGCCAGTTTGAGACGCACCCTGCGTACTATGGGCCACCTCTGCCGCGTGCTTGCGCAGTCAGATCGCTCTAGTTAAAAGTGTGACGCTTTTCTGCCGTAGGTTCCCTGTAAGATGACGTTTTGTTTTTGGACGGGTAATTTCTATAAGTGATTGTAGGACGACGAGTGTACCCCAATTGACTCAAGTGAAAACGCCTGATTTATCGATAACTCGTTAAAAACGACACCTGATGGAATCGCCTGTTGTGGTGGTCTTAGTAGATAGTAATTTATACCATAGCGCCCCCAACGGAAGCATGTCTCCTAGACAATAGAGTTGCTATAAAGTCTCGCACATTCATGGCGAAAGTGATGCGAAACAGAGAAAGGCGATCAGCACGCGCTTCCCGCATACGTAGATCAGAGCAATCTTTCATCTCTGAGGTGTGAGAGGCTAACCTGCCACGCGAGAAGGGCTTCGGAGGTTGCGCCCAAACGGTACTCCAGTTCTCCCCCGCACGAGTAAAAACACCGAAATGACATTGGACCCCATACAGTGGGTCTAGTCTGGCGTCCAACTTAAGTGCCTAGTGACCAACAGGATGCCCGCATAAGATTTGCATATAAACAATGGACATGACATTAACCTCTCGAATGCGCTACCTCGACTAAGGTAGATATGCAGTCCGAACCGTGCTGAAGAGGGGCTTCTGACTATACACGTTATTTTGGCTAACTCGGCCTGATGTTTTGTTAAGGGTGGAGATATAACTAACAGCAATGCGTGTAGGTCTTCGGGTCTATTTTACAGTCTGCGCGGTAGAGCTGACCTAACCGCGCATGGCGGGGGACGCAGAAAAACTTCACCCCCCGAGCCCTAGGTTCCTTAGTATTTGGGCACTGAAGGTATCTGGTCCGAGGTCACGACAGTTCAGCGAACCCCGGCGGCTGTCGGCTATCGAGACCATTTTCCTATGGGAGGAGGTCTAAACTCCCCTTGTTTGTTGCAGCGACCTTAGAAGCTAAAAAACGGTTGTTTGTCATACACACATCTCGGTGGCTAGTTATATCTGGTCTCTAACACACATCAATCCTGTACTCTTCAACGACAGGAGTTGTAGAACATCCAAATCTTGTACCTCCAGGACTCGTGACGTGAGGAACTACCAAATTAGCACGTTACGTTACAGTGCTACGGCGTTTGACCTACCTCACACTTTCTCCCGGATTTGCAGAAGCCTAAAGATAAACGCGCGTGAGGGACCCGTATCTTCATCCTCTGCTTAACATTACTGGAATGCTTGCGTGTCCCGCCAACGGAGCGTTGCCAAAAGAGCTATCGTCGGAGATACGTAGAAAGTGTTTTTGAGGCACCGCTAGAGATTCCCGACAAACTTTTCGTCGTGAATCTGCGCACAGGGCGGGGGGTGTTCGGATCCGTTGATTTGGAGCCTAGTGAGTCTATGCGATCATTATCTTGACGAGCGAACTGAAGGCAGGTGAAATTGTCAAGTAGTAAGAGCGATGCAATAACCGACGAGCACCATTTTGCACCATAATGCTGCGCCTCATGCTCTTTTGGGCGGACGCAACTTATAGGGCTATGTCTGAGTATCGTGACTAGATGAACCGAGCCATTAGCGGGATACCTAATGATTCCAAGAAGTTACACTGAATAGTGCCGTTTGTCCGCCAGGATTAGATGCTATGTTCGCGTACGGGGTCTCCTCTTTCCCCGTACCCAGCGAACTAGGTGCTTGACTAAAACTGTGTCTAAGTTAAGAGTAAATATTCCTCCTATTAGGTTGGGATGTGATAGTTAATATTTCACTTCGTAGATGTTCCTGACAAAGAAACCCTGGTGGATACGCAATTCAACTCCGTCCCTGTATAGAATATCGTCAGATGACGAGAAGGCCCCAGACTGTCCTGTAAAAGTGAGTCATACTGACGAAAACAGAGAGGATGGGCCCACTTCTCCTGGAGAAGTAATTGCTTAATCAATCGAAAAACCACATATATACTCCACGGTAGAGTACGCATCCTATCCGCAGAATCAACTTCATTATCTTAGTATCGGCGCAACGCCAACCCCCGCATTCCTTTTGGTGGTCGTCATCTATGGGGTTAGGATAAATAATAGGAACGCACGCCCAGATTAAGGGCAGCTACACGCTGGTGATAGTCCAACTCTCATTTTTGATTGCTTGCGTATCCGCATCCTTCCCCGAGGTTGCCCGGTAACATTCTCGACATCGATGAAGTCATGTACAACACTGACCACAGATTAAACCCACTGATGGTCTCAATAAACGAGACGTAATTCCATGCACGCCTTTGCTTGACAGAATTGGTCACATCATGTCTCGCGACCTGGCGGATAGGGCGAGCTTAGCTCCAAAATATACGGCTTTTCCTCGTCAAATAGCGGGACAGCCGACGGGCCCCTCGTGATCTGGCGATGAAGGGTCATCACGGAGTCTTTTAAGCAAACCTGTTTTGCTCAACAGTGCAAACCTCCGGCTAACTGATCCTTGAAACCTATGTCTCCCAGACGTTTCCACGCCATTTGTAGATTCATATGTCGATCGCACCGCTTGGACCGCTATTGTACCCAGCGAGTGCAAGACGGTAACGCCGCTTTGTAGTTTCAAGTAAGAATGAGGTGGGGAGGTCACTACAACCCCGAACTTCGAACCACAGCAGCCACTGGTGCCGGAGGACGACGCGTGTGGCAATATGACAGCATCCGCCCGTGCCATCAGAACCAGGAGGCGGGAAGCCGTATTGGAAGCGCCAGAGGTATAAAAACAACACCGTATCTAGTCCACGCGGGGCCATATAGAATGGCGGACAATTGAATGTTAAATACTCCGGATCGAGCCGCCGGTTCGACCAGGTTAAAGCACGTGAGTGGTTCTGTCTACGCACAGTTAACTTTACCCATACTTATGTTCCGAGCGCAAATGACGATGCGGTCCTTAATGGGGAAACGTTTCAGGTCGACCCCTGCTAAACGATCCCTGCGTCGGTGGTCCTGACTATATTATACGCCTGGAGTTGCCTTTTTAATCAAACACCCACTTATACCGCACCATATCATACCATGACGATTGCGTTAAAGGCCCCGTCATGAAACGCGGCATCACATCACAGAAAGGCGCGCTAAAACTGGACGTACACATTAGCCTCCGTAAGCAGCGGCTGTCGTAAACCAGCCCTTGAATGATCTGCACCTGCTCGAGTCTCGTACGGTCCAATAGGAAATAAGAATATTCTGCCAATAAACAATAGAATACCGATGGAGAACGGGTACTGCCAGGTGGTGTCGAACGTCACTTACTGGGTCGTAGCCGGTCAGCTTGGTTTTATCTGCCGGGATGGACCATGCTGTAAATGCCACTCCCCATGGCAGGCCCCGCAAGGGATCCCAACGCTGTGCTGTGTAAGCATTCGGATTGTGCTCCCGTCGTGGGGTCTCGAGAGTTCTACTCTCGGGGTCCAGCCGAGCGAAGGAGAAAACCGGATTATGCATAAGCCGCCAATCCATCACGTGGACCTTGGGTGCCGAACCTTTAAGCGCACACCCGGGTTATAGTCAACCCTAGCGGAAATCGTGCACATTGGACATACAATAGCACCCCATGTTGCCTATAGTAGGTACGAGTTTGAGACGTTTGCTCGTCTATCGCAGTCCTTGCTCATTGGCAAAGGGTGATGGAGGGCAAGACCTCGAATCCGTTACGTTAGATCGTGGTTTCTTAAGCCTCTTCTGGTCCAGTACGTGGAAATCGTTGTATTCTTAAATGGCCCTGCTTGGAGGATGACAAGTAAGATTTGGAATCGATATCTCATGTCCCAGGGCTGCATCCTCGCGCCAAGCGCCGCTATTGATAGAGCCAGCATAGTGCGACTCACCTGGGTAGGGGCTCTCCTCGTCGTATACATAGTGCTAGTTTACCAAATATCGGAATTTTACTCCTAAGCCAAGGGTTCGGGGTACGACGTCTATATCTGATCCGCGTGCGTGTACAATGACGTCGAGCTAGGTATCACGCGCCGCCAACGGTCGCAAAATTGCGTCTTTGACGCAGCACAGCAGAGAATTTATAGATCAGCCACCTGCTCTTAATATAGCCGAGCTGCACATTAAAGGTAGCATACGGCATTTACGGTTTGTGTGTCGCGTAAGACATACTTACGTTATAAACTTATCAAGGAAGCTACAGATTGAAATGCGTCAAAGTACTTAGTTCTCTCTGCTCTGACCGCTACACTAACGGCTGCTCTCCTTTCAGGTTACCGGCTACTATGGTGAGTCGTGGATGATTGAAACACCACACTCCTCGCGCGGATCGCAGCCCATGCGGGCGGCTGGAGCTCGAGTATGTCACATCGTGAAGCCAGACATCGTCGTGTTAAGCCCTTCCGCGCCGATCGTCTAGTGGAGGGTGCCTGCAAACTCTCATCGCAATTGAAAAGGGTGAGGGTATGGCGCCTTCTAGTTCATCCTCCAGCTGCCTTGTCGTAACTCAGGGGTCATTCACTGGTGTACTTGCCATACAACGCCACATATGTGGCGGTGAGCATAAACTACCACCTGTGTAGACAGGCCGCATTTCGTGTTAAGGTCCGAATCTCAACTGTATAAGGCTAGACAACTCGCGACACCCTGGTCGCGGACCTTAATTCGTCAATGTTCTCTGACGTGTATCTCTGGGCTCAGAGCGCTACACTAACTTCCACATACAAATTACGAATACAACCGCGGTCAATGGTTCGGCGTCGATAAGTGCTCTGTAGGATTGTGCTTTTTTAAGGATGCTTCCAACTGTCTTTGTGCTGTTACGCCATATGTGTATTAACGCACCGCAATTTTCTGTACGATTAGGTAACAACGATCACACTCTTCGATTAGCGTAGGCCAAACCGAAATAGTGTATGTATGAGTGGAGTCCGCGAACGATCAGAATACGAATCCTAGTGACTGCGTCCCCCCGACAACTTCAACGACTACCTTCCCAACTGTAATAGTACTTGCGAGGACTACTGCTGGTAATCCGGGGCCACACCCGACTATCCGTTCGCAGGCTCGACGCGTGTCACTGCGAGCCGCGTGCTTATATTGGGTAGACTAGTCTCTCTGAAACTTACCTCAGTTCGCAGCTATCGGAAGAGATAGGCACAAGTGTGTAGAGGGAACAGTACTCGCTACTTAACGCTAGATGACACGCCAAAGCAGCGGGATAAGAAAAGTATGGAGCGTTTCAAGGATTAGTGGGGAGCCTCGCAGAATACTCTATAAAGTCAAACGCCTTCTGGGACGCACCAGGTATAAATAATACGGATTTCCCTCGGCTCAACTTAATCTAGTTTCGTCCCGTGCCAAGCATCGTCTGAGAAGGTCCCCAAGCGAAGGGGAGGCCCTTGTTGCTAACTTGACCACATGCGTACGAACCATACGTTAACTTTCAACGGACAGTAGGTCCGACCTGTCGTCATAGCGATTCCCAGATGTGATAACGGATGGCGCCAACGCCAGAGACCATAACATATATGTTATCACCATAGTGGAAGCGAGCTTGCGACCGTCATGAAGCCGGCCCATTACAAGTTAATGGCCACACGAGGCGAAACAAGAGCCTATAAACACCTGCCTCATGTTGGTCCCGAAGCGGTTTCGAATCGCCTGAGCGACATAAACAAGCTGACCCGACAGCTAATGCTACGGATTACTACCTCCGGAAGGTGGCCGAGTCAGTTCTGGAAAGGAAGCGTATTGGACAACCGCCAACCCGCTAGCTAACACATAGCTAGGTTGGAAAGGATTGTCTTGATCGCGCGGCCGTATCCGCTACTGTTCCGGCTCGCTTGACATAGCACAACCATTACTGCGGTAAGGATTATACATCAACGCATTGTCACGGTTTTCCCAGGTCCGAAAAATCGATTATGAGCTGGGACGACCCAGCACTTGGAATAGGTAGAGTAATAGTGCCGGTTTTCCTACCGTCTCACCCAGCTTTCGGAGGCATTCACCGGTTGAAACAAATCATCTCCGTGTGTCTGGTATTTGCTTGATATTGGGTAATAATCGCACGTAACTTGTTCTAATGTTTGCTTCGTCCATTTGAACTTCCGCGCCCATTTCATCCTCGCGCGCGACTGTACATCCGTGGCAGTCGGCCTATGAATTTACCCCAGACATCAATGGTCTTCAGGTAGGGGAATTTGGTAGATCGCAACCCCCTCCAACATGACTGCCTATATAAATAAATAGCAGTCGTGCCATGAAATGAAGACCATGAATTTTAAATCTCGAACATATGCTTTGGACGGAAGGTAGGAAATTACCGTGTGGGCGTGCGTTGAATTTTTATGCTTTGTGATGAGGTCCAGCACCCTAGTATCAAATCCGGGAGACTTGAGCGCAGCTGCATAGAGCTATGACTCTAGCACCACTGTAGACAAGCGTTACAAAGGCGAGGTCGTGGCATGCTACCGGCACGGGGACTTTCACCATATTGCTGCCCTCCAAATTTTTGTGGTAAGGCGAGTGCGTGTGTACATATAACGCTTAACTTAGCAATACGCCTCAAAC\n",
+      "Runtime:0.03129220008850098\n",
+      "Memory (RSS):64880640\n",
+      "Memory (USS):38010880\n"
      ]
     }
    ],
-   "execution_count": 4
+   "execution_count": 13
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-17T00:02:55.194858Z",
-     "start_time": "2025-06-17T00:02:55.162247Z"
+     "end_time": "2025-06-17T06:13:56.373244Z",
+     "start_time": "2025-06-17T06:13:56.229127Z"
     }
    },
    "cell_type": "code",
    "source": [
-    "from PAMI.extras.stats import sequentialDatabase as stat\n",
+    "from PAMI.extras.stats import SymbolicSequentialDatabase as stat\n",
     "#Createaninstanceofthestatisticalanalysisclass\n",
-    "obj = stat.sequentialDatabase(\"symbolicSequentialDB.csv\")\n",
+    "obj = stat.SymbolicSequentialDatabase(\"symbolicSequentialDB.csv\")\n",
     "#Runthestatisticalanalysis\n",
     "obj.run()\n",
     "#Printthestatis\n",
@@ -122,45 +127,116 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Database size (total no of sequence) : 0\n",
-      "Number of items : 0\n",
-      "Minimum Sequence Size : 0\n"
+      "Total Number of Symbols: 72\n",
+      "Total Size of Sequence:  100000\n",
+      "Symbol Frequencies:\n",
+      "  'e': 1402\n",
+      "  'R': 1390\n",
+      "  'Y': 1385\n",
+      "  'c': 1420\n",
+      "  'M': 1390\n",
+      "  'r': 1367\n",
+      "  'N': 1397\n",
+      "  's': 1405\n",
+      "  'o': 1335\n",
+      "  'C': 1329\n",
+      "  '$': 1399\n",
+      "  'n': 1374\n",
+      "  '7': 1388\n",
+      "  'k': 1428\n",
+      "  ')': 1336\n",
+      "  'L': 1363\n",
+      "  'V': 1349\n",
+      "  'Q': 1398\n",
+      "  'D': 1421\n",
+      "  'f': 1419\n",
+      "  'b': 1466\n",
+      "  'd': 1423\n",
+      "  '2': 1405\n",
+      "  'U': 1340\n",
+      "  'u': 1318\n",
+      "  'Z': 1443\n",
+      "  '*': 1380\n",
+      "  't': 1383\n",
+      "  'O': 1445\n",
+      "  'p': 1314\n",
+      "  'l': 1354\n",
+      "  '(': 1434\n",
+      "  'z': 1392\n",
+      "  'J': 1382\n",
+      "  'X': 1417\n",
+      "  '!': 1381\n",
+      "  '@': 1427\n",
+      "  '9': 1449\n",
+      "  'H': 1335\n",
+      "  '^': 1395\n",
+      "  'x': 1412\n",
+      "  'a': 1388\n",
+      "  'i': 1389\n",
+      "  'T': 1351\n",
+      "  'y': 1392\n",
+      "  '&': 1398\n",
+      "  'q': 1408\n",
+      "  '1': 1408\n",
+      "  '0': 1362\n",
+      "  '8': 1411\n",
+      "  'W': 1376\n",
+      "  'P': 1387\n",
+      "  'v': 1294\n",
+      "  'w': 1439\n",
+      "  '6': 1408\n",
+      "  'G': 1351\n",
+      "  'B': 1351\n",
+      "  'j': 1430\n",
+      "  'I': 1359\n",
+      "  '5': 1385\n",
+      "  '3': 1401\n",
+      "  'h': 1425\n",
+      "  'A': 1392\n",
+      "  '4': 1345\n",
+      "  'g': 1404\n",
+      "  'S': 1420\n",
+      "  '#': 1376\n",
+      "  'F': 1315\n",
+      "  'K': 1419\n",
+      "  'E': 1419\n",
+      "  'm': 1386\n",
+      "  '%': 1421\n"
      ]
     },
     {
-     "ename": "ZeroDivisionError",
-     "evalue": "division by zero",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mZeroDivisionError\u001B[39m                         Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[7]\u001B[39m\u001B[32m, line 7\u001B[39m\n\u001B[32m      5\u001B[39m obj.run()\n\u001B[32m      6\u001B[39m \u001B[38;5;66;03m#Printthestatis\u001B[39;00m\n\u001B[32m----> \u001B[39m\u001B[32m7\u001B[39m \u001B[43mobj\u001B[49m\u001B[43m.\u001B[49m\u001B[43mprintStats\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m      8\u001B[39m obj.plotGraphs()\n",
-      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/PAMI/PAMI/extras/stats/sequentialDatabase.py:397\u001B[39m, in \u001B[36msequentialDatabase.printStats\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m    395\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m'\u001B[39m\u001B[33mNumber of items : \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mself\u001B[39m.getTotalNumberOfItems()\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m'\u001B[39m)\n\u001B[32m    396\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m'\u001B[39m\u001B[33mMinimum Sequence Size : \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mself\u001B[39m.getMinimumSequenceLength()\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m'\u001B[39m)\n\u001B[32m--> \u001B[39m\u001B[32m397\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m'\u001B[39m\u001B[33mAverage Sequence Size : \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mgetAverageSubsequencePerSequenceLength\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m'\u001B[39m)\n\u001B[32m    398\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m'\u001B[39m\u001B[33mMaximum Sequence Size : \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mself\u001B[39m.getMaximumSequenceLength()\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m'\u001B[39m)\n\u001B[32m    399\u001B[39m \u001B[38;5;28mprint\u001B[39m(\u001B[33mf\u001B[39m\u001B[33m'\u001B[39m\u001B[33mStandard Deviation Sequence Size : \u001B[39m\u001B[38;5;132;01m{\u001B[39;00m\u001B[38;5;28mself\u001B[39m.getStandardDeviationSequenceLength()\u001B[38;5;132;01m}\u001B[39;00m\u001B[33m'\u001B[39m)\n",
-      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/PAMI/PAMI/extras/stats/sequentialDatabase.py:239\u001B[39m, in \u001B[36msequentialDatabase.getAverageSubsequencePerSequenceLength\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m    233\u001B[39m \u001B[38;5;250m\u001B[39m\u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m    234\u001B[39m \u001B[33;03mget the average subsequence length per sequence length. It is sum of all subsequence length divided by sequence length.\u001B[39;00m\n\u001B[32m    235\u001B[39m \u001B[33;03m:return: average subsequence length per sequence length\u001B[39;00m\n\u001B[32m    236\u001B[39m \u001B[33;03m:rtype: float\u001B[39;00m\n\u001B[32m    237\u001B[39m \u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m    238\u001B[39m totalLength = \u001B[38;5;28msum\u001B[39m(\u001B[38;5;28mself\u001B[39m.seqLengthList)\n\u001B[32m--> \u001B[39m\u001B[32m239\u001B[39m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[43mtotalLength\u001B[49m\u001B[43m \u001B[49m\u001B[43m/\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;28;43mlen\u001B[39;49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43mdatabase\u001B[49m\u001B[43m)\u001B[49m\n",
-      "\u001B[31mZeroDivisionError\u001B[39m: division by zero"
-     ]
+     "data": {
+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ],
+      "image/png": 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"
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
-   "execution_count": 7
+   "execution_count": 9
   },
   {
-   "metadata": {},
+   "metadata": {
+    "ExecuteTime": {
+     "end_time": "2025-06-17T06:14:38.153322Z",
+     "start_time": "2025-06-17T06:14:38.141752Z"
+    }
+   },
    "cell_type": "code",
-   "outputs": [],
-   "execution_count": null,
    "source": [
     "from PAMI.contiguousFrequentPattern.basic import PositionMining as alg\n",
-    "#InitializePositionMiningalgorithm\n",
-    "# obj = alg.PositionMining(iFile= minSup=100, delimiter= '\\t')\n",
-    "# 'symbolicSequentialDB.csv',\\\n",
-    "obj = alg.PositionMining(datapath='symbolicSequentialDB.csv', minsup=1) #initialize\n",
-    "# obj = alg.PositionMining(\n",
     "\n",
+    "# Initialize the PositionMining algorithm\n",
+    "obj = alg.PositionMining(datapath='symbolicSequentialDB.csv', minsup=1) #initialize\n",
     "obj.mine()\n",
-    "#Retrievediscoveredpatternsandresourceusage\n",
+    "\n",
+    "#Retrieve discovered patterns and resource usage\n",
     "Patterns = obj.getPatterns()\n",
     "print(\"#Frequent Sequence Patterns:\",len(Patterns))\n",
-    "#Displaymemoryandruntimestatistics\n",
+    "\n",
+    "# Display memory and runtime statistics\n",
     "memUSS = obj.getMemoryUSS()\n",
     "print(\"Total Memory in USS:\", memUSS)\n",
     "memRSS = obj.getMemoryRSS()\n",
@@ -168,7 +244,28 @@
     "runTime = obj.getRuntime()\n",
     "print(\"Total Execution Time in ms:\", runTime)"
    ],
-   "id": "7ffc6e76321151a8"
+   "id": "7ffc6e76321151a8",
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "#Frequent Sequence Patterns: 0\n",
+      "Total Memory in USS: 46563328\n",
+      "Total Memory in RSS: 73744384\n",
+      "Total Execution Time in ms: 0.005585908889770508\n"
+     ]
+    }
+   ],
+   "execution_count": 14
+  },
+  {
+   "metadata": {},
+   "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
+   "source": "",
+   "id": "da43e4116bd9a939"
   }
  ],
  "metadata": {
diff --git a/chapter15.ipynb b/chapter15.ipynb
index 4a3b2fe..42dfb9c 100644
--- a/chapter15.ipynb
+++ b/chapter15.ipynb
@@ -1,17 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "initial_id",
-   "metadata": {
-    "collapsed": true
-   },
-   "outputs": [],
-   "source": [
-    ""
-   ]
-  },
   {
    "metadata": {},
    "cell_type": "markdown",
@@ -21,8 +9,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-17T00:13:27.432688Z",
-     "start_time": "2025-06-17T00:13:27.350964Z"
+     "end_time": "2025-06-17T08:35:45.985667Z",
+     "start_time": "2025-06-17T08:35:43.883478Z"
     }
    },
    "cell_type": "code",
@@ -33,8 +21,7 @@
     "databaseSize=100000,\n",
     "avgItemsPerTransaction=10,\n",
     "numItems=1000,\n",
-    "sep=\n",
-    "'\\t'\n",
+    "sep='\\t'\n",
     ")\n",
     "obj.create()\n",
     "obj.save('uncertainTDB.csv')\n",
@@ -48,14 +35,12 @@
    "id": "794e188ab8e46bce",
    "outputs": [
     {
-     "ename": "ImportError",
-     "evalue": "cannot import name 'UncertainTransactionalDatabase' from 'PAMI.extras.syntheticDataGenerator' (/Users/tarunsreepada/PycharmProjects/PAMI/PAMI/extras/syntheticDataGenerator/__init__.py)",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mImportError\u001B[39m                               Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[1]\u001B[39m\u001B[32m, line 1\u001B[39m\n\u001B[32m----> \u001B[39m\u001B[32m1\u001B[39m \u001B[38;5;28;01mfrom\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[34;01mPAMI\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01mextras\u001B[39;00m\u001B[34;01m.\u001B[39;00m\u001B[34;01msyntheticDataGenerator\u001B[39;00m\u001B[38;5;250m \u001B[39m\u001B[38;5;28;01mimport\u001B[39;00m UncertainTransactionalDatabase \u001B[38;5;28;01mas\u001B[39;00m db\n\u001B[32m      3\u001B[39m obj = db.UncertainTransactionalDatabase(\n\u001B[32m      4\u001B[39m databaseSize=\u001B[32m100000\u001B[39m,\n\u001B[32m      5\u001B[39m avgItemsPerTransaction=\u001B[32m10\u001B[39m,\n\u001B[32m   (...)\u001B[39m\u001B[32m      8\u001B[39m \u001B[33m'\u001B[39m\u001B[38;5;130;01m\\t\u001B[39;00m\u001B[33m'\u001B[39m\n\u001B[32m      9\u001B[39m )\n\u001B[32m     10\u001B[39m obj.create()\n",
-      "\u001B[31mImportError\u001B[39m: cannot import name 'UncertainTransactionalDatabase' from 'PAMI.extras.syntheticDataGenerator' (/Users/tarunsreepada/PycharmProjects/PAMI/PAMI/extras/syntheticDataGenerator/__init__.py)"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Runtime:1.8344180583953857\n",
+      "Memory (RSS):132005888\n",
+      "Memory (USS):108625920\n"
      ]
     }
    ],
@@ -64,8 +49,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-17T00:17:37.806908Z",
-     "start_time": "2025-06-17T00:17:37.325235Z"
+     "end_time": "2025-06-17T08:22:46.048639Z",
+     "start_time": "2025-06-17T08:22:46.028210Z"
     }
    },
    "cell_type": "code",
@@ -87,8 +72,6 @@
     "    thresholdValue=0.6\n",
     ")\n",
     "\n",
-    "\n",
-    "\n",
     "# Print runtime and memory usage statistics\n",
     "print('Runtime:      ', obj.getRuntime())\n",
     "print('Memory (RSS):', obj.getMemoryRSS())\n",
@@ -111,8 +94,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-17T00:24:12.258499Z",
-     "start_time": "2025-06-17T00:24:11.335605Z"
+     "end_time": "2025-06-17T08:36:23.058323Z",
+     "start_time": "2025-06-17T08:36:15.085550Z"
     }
    },
    "cell_type": "code",
@@ -120,7 +103,7 @@
     "from PAMI.extras.dbStats import \\\n",
     "UncertainTransactionalDatabase as stat\n",
     "#Loadtheuncertaintransactionaldatabase\n",
-    "obj = stat.UncertainTransactionalDatabase(\"UTDB.csv\")\n",
+    "obj = stat.UncertainTransactionalDatabase(\"uncertainTDB.csv\")\n",
     "#Runthestatisticsgeneration\n",
     "obj.run()\n",
     "#Printthecalculatedstatistics\n",
@@ -134,37 +117,23 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Database size (total no of transactions) : 84\n",
-      "Number of items : 4\n",
+      "Database size (total no of transactions) : 100000\n",
+      "Number of items : 1000\n",
       "Minimum Transaction Size : 1\n",
-      "Average Transaction Size : 1.8095238095238095\n",
-      "Maximum Transaction Size : 4\n",
-      "Standard Deviation Transaction Size : 0.7939681905015746\n",
-      "Variance in Transaction Sizes : 0.6379804934021801\n",
-      "Sparsity : 0.5476190476190477\n"
-     ]
-    },
-    {
-     "ename": "TypeError",
-     "evalue": "unsupported operand type(s) for /: 'str' and 'int'",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mTypeError\u001B[39m                                 Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[3]\u001B[39m\u001B[32m, line 10\u001B[39m\n\u001B[32m      8\u001B[39m obj.printStats()\n\u001B[32m      9\u001B[39m \u001B[38;5;66;03m#Plotgraphicalrepresentationsofthestatistics\u001B[39;00m\n\u001B[32m---> \u001B[39m\u001B[32m10\u001B[39m \u001B[43mobj\u001B[49m\u001B[43m.\u001B[49m\u001B[43mplotGraphs\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n",
-      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/PAMI/PAMI/extras/dbStats/UncertainTransactionalDatabase.py:323\u001B[39m, in \u001B[36mUncertainTransactionalDatabase.plotGraphs\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m    321\u001B[39m itemFrequencies = \u001B[38;5;28mself\u001B[39m.getFrequenciesInRange()\n\u001B[32m    322\u001B[39m transactionLength = \u001B[38;5;28mself\u001B[39m.getTransanctionalLengthDistribution()\n\u001B[32m--> \u001B[39m\u001B[32m323\u001B[39m \u001B[43mplt\u001B[49m\u001B[43m.\u001B[49m\u001B[43mplotLineGraphFromDictionary\u001B[49m\u001B[43m(\u001B[49m\u001B[43mitemFrequencies\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[32;43m100\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[33;43m'\u001B[39;49m\u001B[33;43mFrequency\u001B[39;49m\u001B[33;43m'\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[33;43m'\u001B[39;49m\u001B[33;43mNo of items\u001B[39;49m\u001B[33;43m'\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[33;43m'\u001B[39;49m\u001B[33;43mfrequency\u001B[39;49m\u001B[33;43m'\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[32m    324\u001B[39m plt.plotLineGraphFromDictionary(transactionLength, \u001B[32m100\u001B[39m, \u001B[33m'\u001B[39m\u001B[33mtransaction length\u001B[39m\u001B[33m'\u001B[39m, \u001B[33m'\u001B[39m\u001B[33mtransaction length\u001B[39m\u001B[33m'\u001B[39m, \u001B[33m'\u001B[39m\u001B[33mfrequency\u001B[39m\u001B[33m'\u001B[39m)\n",
-      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/PAMI/PAMI/extras/graph/plotLineGraphFromDictionary.py:77\u001B[39m, in \u001B[36mplotLineGraphFromDictionary.__init__\u001B[39m\u001B[34m(self, data, end, start, title, xlabel, ylabel)\u001B[39m\n\u001B[32m     61\u001B[39m \u001B[38;5;250m\u001B[39m\u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m     62\u001B[39m \u001B[33;03mdraw line graph. Plot the input data key as x and value as y\u001B[39;00m\n\u001B[32m     63\u001B[39m \n\u001B[32m   (...)\u001B[39m\u001B[32m     74\u001B[39m \u001B[33;03m:return: None\u001B[39;00m\n\u001B[32m     75\u001B[39m \u001B[33;03m\"\"\"\u001B[39;00m\n\u001B[32m     76\u001B[39m end = \u001B[38;5;28mint\u001B[39m(\u001B[38;5;28mlen\u001B[39m(data) * end / \u001B[32m100\u001B[39m)\n\u001B[32m---> \u001B[39m\u001B[32m77\u001B[39m start = \u001B[38;5;28mint\u001B[39m(\u001B[38;5;28;43mlen\u001B[39;49m\u001B[43m(\u001B[49m\u001B[43mdata\u001B[49m\u001B[43m)\u001B[49m\u001B[43m \u001B[49m\u001B[43m*\u001B[49m\u001B[43m \u001B[49m\u001B[43mstart\u001B[49m\u001B[43m \u001B[49m\u001B[43m/\u001B[49m\u001B[43m \u001B[49m\u001B[32;43m100\u001B[39;49m)\n\u001B[32m     78\u001B[39m x = \u001B[38;5;28mlist\u001B[39m(\u001B[38;5;28mrange\u001B[39m(\u001B[38;5;28mlen\u001B[39m(data)))\n\u001B[32m     79\u001B[39m y = \u001B[38;5;28mlist\u001B[39m(\u001B[38;5;28mtuple\u001B[39m(data.values())[start:end])\n",
-      "\u001B[31mTypeError\u001B[39m: unsupported operand type(s) for /: 'str' and 'int'"
+      "Average Transaction Size : 10.01164\n",
+      "Maximum Transaction Size : 28\n",
+      "Standard Deviation Transaction Size : 3.1718834326626824\n",
+      "Variance in Transaction Sizes : 10.060945119851198\n"
      ]
     }
    ],
-   "execution_count": 3
+   "execution_count": null
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-17T00:27:11.410829Z",
-     "start_time": "2025-06-17T00:27:11.343648Z"
+     "end_time": "2025-06-17T08:36:01.891371Z",
+     "start_time": "2025-06-17T08:35:51.759721Z"
     }
    },
    "cell_type": "code",
@@ -172,14 +141,14 @@
     "import PAMI.uncertainFrequentPattern.basic.TubeP as alg\n",
     "\n",
     "# Input file and minimum support count for frequent pattern mining\n",
-    "inputFile = 'UTDB.csv'\n",
+    "inputFile = 'uncertainTDB.csv'\n",
     "minSupport = 100\n",
     "\n",
     "# Create an instance of the TubeP algorithm\n",
-    "obj = alg.TUFP(iFile=inputFile, minSup=minSupport, sep='\\t')\n",
+    "obj = alg.TubeP(iFile=inputFile, minSup=minSupport, sep='\\t')\n",
     "\n",
     "# Mine frequent patterns\n",
-    "obj.mine()\n",
+    "obj.startMine()\n",
     "\n",
     "# Save the discovered frequent patterns to a file\n",
     "obj.save('frequentPatterns.txt')\n",
@@ -194,20 +163,16 @@
    "id": "1775d50bcb12fb41",
    "outputs": [
     {
-     "ename": "ValueError",
-     "evalue": "substring not found",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mValueError\u001B[39m                                Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[9]\u001B[39m\u001B[32m, line 11\u001B[39m\n\u001B[32m      8\u001B[39m obj = alg.TUFP(iFile=inputFile, minSup=minSupport, sep=\u001B[33m'\u001B[39m\u001B[38;5;130;01m\\t\u001B[39;00m\u001B[33m'\u001B[39m)\n\u001B[32m     10\u001B[39m \u001B[38;5;66;03m# Mine frequent patterns\u001B[39;00m\n\u001B[32m---> \u001B[39m\u001B[32m11\u001B[39m \u001B[43mobj\u001B[49m\u001B[43m.\u001B[49m\u001B[43mmine\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m     13\u001B[39m \u001B[38;5;66;03m# Save the discovered frequent patterns to a file\u001B[39;00m\n\u001B[32m     14\u001B[39m obj.save(\u001B[33m'\u001B[39m\u001B[33mfrequentPatterns.txt\u001B[39m\u001B[33m'\u001B[39m)\n",
-      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/PAMI/PAMI/uncertainFrequentPattern/basic/TubeP.py:440\u001B[39m, in \u001B[36mTUFP.mine\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m    438\u001B[39m \u001B[38;5;28;01mglobal\u001B[39;00m _minSup\n\u001B[32m    439\u001B[39m \u001B[38;5;28mself\u001B[39m._startTime = _ab._time.time()\n\u001B[32m--> \u001B[39m\u001B[32m440\u001B[39m \u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43m_creatingItemSets\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m    441\u001B[39m \u001B[38;5;28mself\u001B[39m._minSup = \u001B[38;5;28mself\u001B[39m._convert(\u001B[38;5;28mself\u001B[39m._minSup)\n\u001B[32m    442\u001B[39m _minSup = \u001B[38;5;28mself\u001B[39m._minSup\n",
-      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/PAMI/PAMI/uncertainFrequentPattern/basic/TubeP.py:294\u001B[39m, in \u001B[36mTUFP._creatingItemSets\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m    292\u001B[39m tr = []\n\u001B[32m    293\u001B[39m \u001B[38;5;28;01mfor\u001B[39;00m i \u001B[38;5;129;01min\u001B[39;00m temp:\n\u001B[32m--> \u001B[39m\u001B[32m294\u001B[39m     i1 = \u001B[43mi\u001B[49m\u001B[43m.\u001B[49m\u001B[43mindex\u001B[49m\u001B[43m(\u001B[49m\u001B[33;43m'\u001B[39;49m\u001B[33;43m(\u001B[39;49m\u001B[33;43m'\u001B[39;49m\u001B[43m)\u001B[49m\n\u001B[32m    295\u001B[39m     i2 = i.index(\u001B[33m'\u001B[39m\u001B[33m)\u001B[39m\u001B[33m'\u001B[39m)\n\u001B[32m    296\u001B[39m     item = i[\u001B[32m0\u001B[39m:i1]\n",
-      "\u001B[31mValueError\u001B[39m: substring not found"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Uncertain Frequent patterns were generated successfully using TubeP algorithm\n",
+      "#Patterns: 1000\n",
+      "Runtime:   9.753803968429565\n"
      ]
     }
    ],
-   "execution_count": 9
+   "execution_count": 2
   },
   {
    "metadata": {},
diff --git a/chapter16.ipynb b/chapter16.ipynb
index aa837c5..d0749e6 100644
--- a/chapter16.ipynb
+++ b/chapter16.ipynb
@@ -21,8 +21,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-17T00:32:27.205067Z",
-     "start_time": "2025-06-17T00:32:27.092393Z"
+     "end_time": "2025-06-17T05:41:17.317503Z",
+     "start_time": "2025-06-17T05:41:17.302498Z"
     }
    },
    "cell_type": "code",
@@ -30,7 +30,7 @@
     "from PAMI.extras.graph import GraphConvertor as gc\n",
     "\n",
     "# Create GraphConvertor object with input file\n",
-    "obj = gc.GraphConvertor(iFile='traditionalGraphData.txt')\n",
+    "obj = gc.GraphConvertor(iFile='datasets/Chemical_340.txt')\n",
     "\n",
     "# Convert traditional graph format to compressed representation\n",
     "obj.convertTraditional2Compressed()\n",
@@ -42,22 +42,18 @@
     "obj.save('compressedGraphData.csv')\n",
     "\n",
     "# Print resource usage statistics\n",
-    "print('Runtime:      ' + str(obj.getRuntime()))\n",
+    "# print('Runtime:      ' + str(obj.getRuntime()))\n",
     "print('Memory (RSS): ' + str(obj.getMemoryRSS()))\n",
     "print('Memory (USS): ' + str(obj.getMemoryUSS()))\n"
    ],
    "id": "db1cdd30b21de5a5",
    "outputs": [
     {
-     "ename": "FileNotFoundError",
-     "evalue": "[Errno 2] No such file or directory: 'traditionalGraphData.txt'",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[31m---------------------------------------------------------------------------\u001B[39m",
-      "\u001B[31mFileNotFoundError\u001B[39m                         Traceback (most recent call last)",
-      "\u001B[36mCell\u001B[39m\u001B[36m \u001B[39m\u001B[32mIn[2]\u001B[39m\u001B[32m, line 7\u001B[39m\n\u001B[32m      4\u001B[39m obj = gc.GraphConvertor(iFile=\u001B[33m'\u001B[39m\u001B[33mtraditionalGraphData.txt\u001B[39m\u001B[33m'\u001B[39m)\n\u001B[32m      6\u001B[39m \u001B[38;5;66;03m# Convert traditional graph format to compressed representation\u001B[39;00m\n\u001B[32m----> \u001B[39m\u001B[32m7\u001B[39m \u001B[43mobj\u001B[49m\u001B[43m.\u001B[49m\u001B[43mconvertTraditional2Compressed\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[32m      9\u001B[39m \u001B[38;5;66;03m# Optionally convert back from compressed to traditional\u001B[39;00m\n\u001B[32m     10\u001B[39m \u001B[38;5;66;03m# obj.convertFromCompressed2Traditional()\u001B[39;00m\n\u001B[32m     11\u001B[39m \n\u001B[32m     12\u001B[39m \u001B[38;5;66;03m# Save the compressed graph to a file\u001B[39;00m\n\u001B[32m     13\u001B[39m obj.save(\u001B[33m'\u001B[39m\u001B[33mcompressedGraphData.csv\u001B[39m\u001B[33m'\u001B[39m)\n",
-      "\u001B[36mFile \u001B[39m\u001B[32m~/PycharmProjects/PAMI/PAMI/extras/graph/GraphConvertor.py:43\u001B[39m, in \u001B[36mGraphConvertor.convertTraditional2Compressed\u001B[39m\u001B[34m(self)\u001B[39m\n\u001B[32m     41\u001B[39m graph = {}\n\u001B[32m     42\u001B[39m \u001B[38;5;28mself\u001B[39m.convertedData = []\n\u001B[32m---> \u001B[39m\u001B[32m43\u001B[39m \u001B[38;5;28;01mwith\u001B[39;00m \u001B[38;5;28;43mopen\u001B[39;49m\u001B[43m(\u001B[49m\u001B[38;5;28;43mself\u001B[39;49m\u001B[43m.\u001B[49m\u001B[43miFile\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[33;43m'\u001B[39;49m\u001B[33;43mr\u001B[39;49m\u001B[33;43m'\u001B[39;49m\u001B[43m)\u001B[49m \u001B[38;5;28;01mas\u001B[39;00m iFile:\n\u001B[32m     44\u001B[39m     \u001B[38;5;28;01mfor\u001B[39;00m line \u001B[38;5;129;01min\u001B[39;00m iFile:\n\u001B[32m     45\u001B[39m         parts = line.strip().split()\n",
-      "\u001B[31mFileNotFoundError\u001B[39m: [Errno 2] No such file or directory: 'traditionalGraphData.txt'"
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Memory (RSS): 82690048\n",
+      "Memory (USS): 69795840\n"
      ]
     }
    ],
@@ -112,8 +108,8 @@
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-17T02:58:47.325244Z",
-     "start_time": "2025-06-17T02:58:47.287750Z"
+     "end_time": "2025-06-17T05:43:11.881116Z",
+     "start_time": "2025-06-17T05:43:11.194229Z"
     }
    },
    "cell_type": "code",
@@ -121,7 +117,7 @@
     "from PAMI.subgraphMining.basic import gspan as alg\n",
     "\n",
     "# Define input file and minimum support\n",
-    "inputFile = 'datasets/Chemical_340.txt'\n",
+    "inputFile = 'compressedGraphData.csv'  # Replace with your actual file path\n",
     "minSupport = 1  # Replace with your actual support threshold\n",
     "\n",
     "# Create and run the gSpan algorithm\n",
@@ -130,6 +126,7 @@
     "\n",
     "# Retrieve results\n",
     "frequentGraphs = obj.getFrequentSubgraphs()\n",
+    "print(frequentGraphs)\n",
     "\n",
     "# Print stats\n",
     "print(\"Total Memory in USS: \", obj.getMemoryUSS())\n",
@@ -139,28 +136,26 @@
     "# Save discovered subgraphs\n",
     "obj.save('frequentSubgraphs.txt')\n"
    ],
-   "id": "391194979d964a6c",
+   "id": "10a4933ea16cb36b",
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Total Memory in USS:  31752192\n",
-      "Total Memory in RSS:  38977536\n",
-      "Total Execution Time (s): 0.030318021774291992\n"
+      "\n",
+      "Total Memory in USS:  97353728\n",
+      "Total Memory in RSS:  126320640\n",
+      "Total Execution Time (s): 0.0006427764892578125\n"
      ]
     }
    ],
-   "execution_count": 21
+   "execution_count": 3
   },
   {
-   "metadata": {
-    "ExecuteTime": {
-     "end_time": "2025-06-17T02:57:30.898704Z",
-     "start_time": "2025-06-17T02:57:29.344931Z"
-    }
-   },
+   "metadata": {},
    "cell_type": "code",
+   "outputs": [],
+   "execution_count": null,
    "source": [
     "from PAMI.subgraphMining.topK import tkg as alg\n",
     "\n",
@@ -181,19 +176,7 @@
     "# Save the top-K subgraphs to file\n",
     "obj.save('frequentTopkSubgraphs.txt')\n"
    ],
-   "id": "73e81bc7c0d68a8f",
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Total Memory in USS:  52641792\n",
-      "Total Memory in RSS:  59195392\n",
-      "Total Execution Time (s): 1.5454928874969482\n"
-     ]
-    }
-   ],
-   "execution_count": 17
+   "id": "befdf78093e0c984"
   },
   {
    "metadata": {
diff --git a/chapter2.ipynb b/chapter2.ipynb
index 6653b34..b45eceb 100644
--- a/chapter2.ipynb
+++ b/chapter2.ipynb
@@ -43,8 +43,8 @@
     "id": "CnQTyyz67VyB",
     "outputId": "0ce13f4d-83e4-46d5-b847-4318cee75dbf",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:48:36.749322Z",
-     "start_time": "2025-06-16T14:48:36.623371Z"
+     "end_time": "2025-06-17T05:15:46.814986Z",
+     "start_time": "2025-06-17T05:15:46.688174Z"
     }
    },
    "id": "CnQTyyz67VyB",
@@ -81,8 +81,8 @@
     "id": "tCi3Di8p7gQY",
     "outputId": "d23d99bb-20ef-4212-c5d0-ceb476d85f04",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:48:36.895350Z",
-     "start_time": "2025-06-16T14:48:36.760387Z"
+     "end_time": "2025-06-17T05:15:46.956384Z",
+     "start_time": "2025-06-17T05:15:46.821881Z"
     }
    },
    "id": "tCi3Di8p7gQY",
@@ -162,8 +162,8 @@
     "id": "pcYsmPmS7Jb8",
     "outputId": "bfe40ad5-a378-49b2-8648-efbf2e1270f9",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:48:37.808212Z",
-     "start_time": "2025-06-16T14:48:37.010956Z"
+     "end_time": "2025-06-17T05:15:47.903457Z",
+     "start_time": "2025-06-17T05:15:47.086549Z"
     }
    },
    "id": "pcYsmPmS7Jb8",
@@ -172,9 +172,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.40280604362487793\n",
-      "Memory (RSS): 255557632\n",
-      "Memory (USS): 199639040\n"
+      "Runtime: 0.4414231777191162\n",
+      "Memory (RSS): 264060928\n",
+      "Memory (USS): 205193216\n"
      ]
     }
    ],
@@ -234,8 +234,8 @@
     "id": "initial_id",
     "outputId": "be26b81d-4ffe-4b14-c560-7f59b4a857f3",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:48:38.678194Z",
-     "start_time": "2025-06-16T14:48:37.826720Z"
+     "end_time": "2025-06-17T05:15:48.748945Z",
+     "start_time": "2025-06-17T05:15:47.912608Z"
     }
    },
    "source": [
@@ -254,9 +254,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.8319060802459717\n",
-      "Memory (RSS): 232554496\n",
-      "Memory (USS): 151224320\n"
+      "Runtime: 0.820134162902832\n",
+      "Memory (RSS): 240320512\n",
+      "Memory (USS): 158171136\n"
      ]
     }
    ],
@@ -333,8 +333,8 @@
     "id": "daMtu0F48epP",
     "outputId": "23406cb1-27af-45cd-f062-f92c17792217",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:48:38.717084Z",
-     "start_time": "2025-06-16T14:48:38.699438Z"
+     "end_time": "2025-06-17T05:15:48.784538Z",
+     "start_time": "2025-06-17T05:15:48.766566Z"
     }
    },
    "id": "daMtu0F48epP",
@@ -343,9 +343,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.007760047912597656\n",
-      "Memory (RSS): 228573184\n",
-      "Memory (USS): 152125440\n"
+      "Runtime: 0.007714033126831055\n",
+      "Memory (RSS): 240336896\n",
+      "Memory (USS): 158040064\n"
      ]
     }
    ],
@@ -363,8 +363,8 @@
     "id": "nJWWRCEd8V-7",
     "outputId": "25519703-0c3a-4fc9-8e91-b0235cd3fa53",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:48:38.879356Z",
-     "start_time": "2025-06-16T14:48:38.754780Z"
+     "end_time": "2025-06-17T05:15:48.918509Z",
+     "start_time": "2025-06-17T05:15:48.795477Z"
     }
    },
    "id": "nJWWRCEd8V-7",
@@ -373,16 +373,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
+      "Item2\tItem4\r\n",
+      "Item3\tItem4\r\n",
       "Item1\tItem2\tItem3\r\n",
-      "Item1\tItem2\tItem3\r\n",
+      "Item1\tItem3\tItem4\r\n",
+      "Item3\tItem4\r\n",
+      "Item3\tItem4\r\n",
+      "Item1\tItem4\r\n",
       "Item1\tItem2\tItem3\r\n",
       "Item1\tItem2\tItem4\r\n",
-      "Item1\tItem2\tItem4\r\n",
-      "Item2\tItem3\r\n",
-      "Item1\tItem2\tItem3\tItem4\r\n",
-      "Item2\tItem3\tItem4\r\n",
-      "Item1\tItem3\tItem4\r\n",
-      "Item1\tItem4\r\n"
+      "Item1\tItem2\tItem3\r\n"
      ]
     }
    ],
diff --git a/chapter3.ipynb b/chapter3.ipynb
index 02b2bb8..9a149d6 100644
--- a/chapter3.ipynb
+++ b/chapter3.ipynb
@@ -43,8 +43,8 @@
     "id": "dB4AHoJJBUL1",
     "outputId": "db1e7c6a-bac3-4ea5-f0ac-3702bd71d9a9",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:49:42.288498Z",
-     "start_time": "2025-06-16T14:49:42.166287Z"
+     "end_time": "2025-06-17T05:16:48.182370Z",
+     "start_time": "2025-06-17T05:16:48.054718Z"
     }
    },
    "id": "dB4AHoJJBUL1",
@@ -120,8 +120,8 @@
     "id": "initial_id",
     "outputId": "f8a39e7e-4319-4a20-87a0-d724fda9e5aa",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:49:48.033259Z",
-     "start_time": "2025-06-16T14:49:42.412621Z"
+     "end_time": "2025-06-17T05:16:54.098724Z",
+     "start_time": "2025-06-17T05:16:48.190905Z"
     }
    },
    "source": [
@@ -147,9 +147,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 4.526759147644043\n",
-      "Memory (RSS): 88031232\n",
-      "Memory (USS): 57589760\n"
+      "Runtime: 4.571674108505249\n",
+      "Memory (RSS): 86523904\n",
+      "Memory (USS): 58146816\n"
      ]
     }
    ],
@@ -231,8 +231,8 @@
     "id": "IoJFF28tChTC",
     "outputId": "fc620355-b712-4b1d-b582-eb649cc13e81",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:49:48.065181Z",
-     "start_time": "2025-06-16T14:49:48.049214Z"
+     "end_time": "2025-06-17T05:16:54.269580Z",
+     "start_time": "2025-06-17T05:16:54.243806Z"
     }
    },
    "id": "IoJFF28tChTC",
@@ -241,9 +241,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.007049083709716797\n",
-      "Memory (RSS): 108855296\n",
-      "Memory (USS): 74858496\n"
+      "Runtime: 0.01154470443725586\n",
+      "Memory (RSS): 128155648\n",
+      "Memory (USS): 93437952\n"
      ]
     }
    ],
@@ -342,8 +342,8 @@
     "id": "BufYVBvZDe9-",
     "outputId": "e311096e-4bf0-4b92-f920-c6181d829c76",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:04.258279Z",
-     "start_time": "2025-06-16T14:49:48.086491Z"
+     "end_time": "2025-06-17T05:17:11.779740Z",
+     "start_time": "2025-06-17T05:16:54.280601Z"
     }
    },
    "id": "BufYVBvZDe9-",
@@ -355,11 +355,11 @@
       "Database size (total no of transactions) : 100000\n",
       "Number of items : 1000\n",
       "Minimum Transaction Size : 1\n",
-      "Average Transaction Size : 10.02488\n",
+      "Average Transaction Size : 10.02428\n",
       "Maximum Transaction Size : 20\n",
-      "Standard Deviation Transaction Size : 5.743070693070041\n",
-      "Variance in Transaction Sizes : 32.983190817508174\n",
-      "Sparsity : 0.98997512\n"
+      "Standard Deviation Transaction Size : 5.726605493798224\n",
+      "Variance in Transaction Sizes : 32.79433842498425\n",
+      "Sparsity : 0.98997572\n"
      ]
     },
     {
@@ -367,7 +367,7 @@
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ],
-      "image/png": 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"
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"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -377,7 +377,7 @@
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ],
-      "image/png": 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"
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"
      },
      "metadata": {},
      "output_type": "display_data"
diff --git a/chapter4.ipynb b/chapter4.ipynb
index 3bca06d..43014e4 100644
--- a/chapter4.ipynb
+++ b/chapter4.ipynb
@@ -42,8 +42,8 @@
     "id": "initial_id",
     "outputId": "712ce502-6650-453c-de40-effe0fda6b3e",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:08.723829Z",
-     "start_time": "2025-06-16T14:50:08.603047Z"
+     "end_time": "2025-06-17T05:17:15.370221Z",
+     "start_time": "2025-06-17T05:17:15.247375Z"
     }
    },
    "source": [
@@ -82,8 +82,8 @@
     "id": "9i5Wvom4F-kr",
     "outputId": "f2d02062-dbea-439c-99ca-62e26ca9068e",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:08.959003Z",
-     "start_time": "2025-06-16T14:50:08.832669Z"
+     "end_time": "2025-06-17T05:17:15.606471Z",
+     "start_time": "2025-06-17T05:17:15.471718Z"
     }
    },
    "id": "9i5Wvom4F-kr",
@@ -166,8 +166,8 @@
     "id": "aonyqnmUGgyJ",
     "outputId": "36f1488a-1b7f-4079-c24c-9b773f8180f6",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:11.632150Z",
-     "start_time": "2025-06-16T14:50:08.966277Z"
+     "end_time": "2025-06-17T05:17:18.415912Z",
+     "start_time": "2025-06-17T05:17:15.616255Z"
     }
    },
    "id": "aonyqnmUGgyJ",
@@ -178,9 +178,9 @@
      "text": [
       "Frequent patterns were generated successfully using frequentPatternGrowth algorithm\n",
       "#Patterns: 4540\n",
-      "Runtime: 2.4022600650787354\n",
-      "Memory (RSS): 434585600\n",
-      "Memory (USS): 411533312\n"
+      "Runtime: 2.5302541255950928\n",
+      "Memory (RSS): 429178880\n",
+      "Memory (USS): 406208512\n"
      ]
     }
    ],
@@ -257,8 +257,8 @@
     "id": "ljtbQUopF1fE",
     "outputId": "4f37d742-281f-47c3-9d19-991f06e2d5b5",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:15.580580Z",
-     "start_time": "2025-06-16T14:50:11.651707Z"
+     "end_time": "2025-06-17T05:17:22.668016Z",
+     "start_time": "2025-06-17T05:17:18.444817Z"
     }
    },
    "id": "ljtbQUopF1fE",
@@ -269,9 +269,9 @@
      "text": [
       "Closed Frequent patterns were generated successfully using CHARM algorithm\n",
       "#Patterns: 2856\n",
-      "Runtime: 3.9080770015716553\n",
-      "Memory (RSS): 208666624\n",
-      "Memory (USS): 174768128\n"
+      "Runtime: 4.201343059539795\n",
+      "Memory (RSS): 85114880\n",
+      "Memory (USS): 61603840\n"
      ]
     }
    ],
@@ -346,8 +346,8 @@
     "id": "_-px1Mv6H6gZ",
     "outputId": "da253725-2c81-4acc-98be-5bf8de520a99",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:18.446662Z",
-     "start_time": "2025-06-16T14:50:15.606142Z"
+     "end_time": "2025-06-17T05:17:25.292644Z",
+     "start_time": "2025-06-17T05:17:22.693992Z"
     }
    },
    "id": "_-px1Mv6H6gZ",
@@ -358,9 +358,9 @@
      "text": [
       "Maximal Frequent patterns were generated successfully using MaxFp-Growth algorithm \n",
       "#Patterns: 1292\n",
-      "Runtime: 2.7118637561798096\n",
-      "Memory (RSS): 263372800\n",
-      "Memory (USS): 239828992\n"
+      "Runtime: 2.4696578979492188\n",
+      "Memory (RSS): 474710016\n",
+      "Memory (USS): 438288384\n"
      ]
     }
    ],
@@ -433,8 +433,8 @@
     "id": "FUEpvCYhIv3r",
     "outputId": "da2df095-2cbc-44dd-9dd4-923bee43a411",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:24.568121Z",
-     "start_time": "2025-06-16T14:50:18.460627Z"
+     "end_time": "2025-06-17T05:17:31.335557Z",
+     "start_time": "2025-06-17T05:17:25.304789Z"
     }
    },
    "id": "FUEpvCYhIv3r",
@@ -445,9 +445,9 @@
      "text": [
       " TopK frequent patterns were successfully generated using FAE algorithm.\n",
       "#Patterns: 1000\n",
-      "Runtime: 6.061453819274902\n",
-      "Memory (RSS): 74563584\n",
-      "Memory (USS): 56082432\n"
+      "Runtime: 6.010847806930542\n",
+      "Memory (RSS): 128352256\n",
+      "Memory (USS): 104841216\n"
      ]
     }
    ],
@@ -506,8 +506,8 @@
    "metadata": {
     "id": "bIA9BiDwJatI",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:24.811732Z",
-     "start_time": "2025-06-16T14:50:24.585703Z"
+     "end_time": "2025-06-17T05:17:31.571322Z",
+     "start_time": "2025-06-17T05:17:31.350912Z"
     }
    },
    "id": "bIA9BiDwJatI",
@@ -584,8 +584,8 @@
     "id": "dNFmwbO3KT8p",
     "outputId": "5b9882a3-1ff6-4b75-ce5c-3e914b5ae402",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:30.772297Z",
-     "start_time": "2025-06-16T14:50:24.822806Z"
+     "end_time": "2025-06-17T05:17:37.833263Z",
+     "start_time": "2025-06-17T05:17:31.582086Z"
     }
    },
    "id": "dNFmwbO3KT8p",
@@ -596,9 +596,9 @@
      "text": [
       "Frequent patterns were generated successfully using Conditional Frequent Pattern Growth algorithm\n",
       "Total No of patterns: 4947\n",
-      "Runtime: 4.247186899185181\n",
-      "Memory (RSS): 443777024\n",
-      "Memory (USS): 432095232\n"
+      "Runtime: 4.567728042602539\n",
+      "Memory (RSS): 135168000\n",
+      "Memory (USS): 111689728\n"
      ]
     }
    ],
@@ -672,8 +672,8 @@
     "id": "lanvH9puLL_F",
     "outputId": "89905d9f-fe58-42fd-9e1f-a2860fe96bc3",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:33.572744Z",
-     "start_time": "2025-06-16T14:50:30.786569Z"
+     "end_time": "2025-06-17T05:17:41.105858Z",
+     "start_time": "2025-06-17T05:17:37.853554Z"
     }
    },
    "id": "lanvH9puLL_F",
@@ -684,9 +684,9 @@
      "text": [
       "Correlated patterns were generated successfully using CoMine algorithm\n",
       "#Patterns: 723\n",
-      "Runtime: 2.6564199924468994\n",
-      "Memory (RSS): 458899456\n",
-      "Memory (USS): 446398464\n"
+      "Runtime: 3.1105270385742188\n",
+      "Memory (RSS): 299974656\n",
+      "Memory (USS): 276463616\n"
      ]
     }
    ],
@@ -763,8 +763,8 @@
     "id": "RG3r3mWELz67",
     "outputId": "d48d2d29-7435-4248-e5f5-922577127a26",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:38.746360Z",
-     "start_time": "2025-06-16T14:50:33.587436Z"
+     "end_time": "2025-06-17T05:17:47.175958Z",
+     "start_time": "2025-06-17T05:17:41.160157Z"
     }
    },
    "id": "RG3r3mWELz67",
@@ -775,9 +775,9 @@
      "text": [
       "Relative support frequent patterns were generated successfully using RSFPGrowth algorithm\n",
       "#Patterns: 4540\n",
-      "Runtime: 4.575530290603638\n",
-      "Memory (RSS): 453230592\n",
-      "Memory (USS): 410288128\n"
+      "Runtime: 5.259850025177002\n",
+      "Memory (RSS): 181321728\n",
+      "Memory (USS): 169787392\n"
      ]
     }
    ],
@@ -849,8 +849,8 @@
     "id": "nSkzk503Mfhs",
     "outputId": "934499cc-952d-4fe7-b0bf-0900b612d377",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:42.944021Z",
-     "start_time": "2025-06-16T14:50:38.757288Z"
+     "end_time": "2025-06-17T05:17:51.907944Z",
+     "start_time": "2025-06-17T05:17:47.207676Z"
     }
    },
    "id": "nSkzk503Mfhs",
@@ -861,9 +861,9 @@
      "text": [
       "Frequent patterns were generated successfully using frequentPatternGrowth algorithm\n",
       "#Patterns: 4540\n",
-      "Runtime: 4.158264875411987\n",
-      "Memory (RSS): 636108800\n",
-      "Memory (USS): 624377856\n"
+      "Runtime: 4.621241092681885\n",
+      "Memory (RSS): 642809856\n",
+      "Memory (USS): 631275520\n"
      ]
     }
    ],
@@ -928,8 +928,8 @@
     "id": "5otyL8jjNkdh",
     "outputId": "ef9153df-00a8-4e5f-f123-2748a445c955",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:43.013509Z",
-     "start_time": "2025-06-16T14:50:42.958673Z"
+     "end_time": "2025-06-17T05:17:51.988465Z",
+     "start_time": "2025-06-17T05:17:51.927454Z"
     }
    },
    "id": "5otyL8jjNkdh",
@@ -940,9 +940,9 @@
      "text": [
       "Association rules successfully  generated from frequent patterns \n",
       "Total number of Association Rules: 22984\n",
-      "Total Memory in USS: 629325824\n",
-      "Total Memory in RSS 641220608\n",
-      "Total ExecutionTime in ms: 0.012109041213989258\n"
+      "Total Memory in USS: 625049600\n",
+      "Total Memory in RSS 636600320\n",
+      "Total ExecutionTime in ms: 0.017277956008911133\n"
      ]
     }
    ],
diff --git a/chapter5.ipynb b/chapter5.ipynb
index 8faa097..b62f550 100644
--- a/chapter5.ipynb
+++ b/chapter5.ipynb
@@ -43,8 +43,8 @@
     "id": "initial_id",
     "outputId": "f3496e37-818b-429a-c536-dd7f1f9293fa",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:48.583600Z",
-     "start_time": "2025-06-16T14:50:48.456423Z"
+     "end_time": "2025-06-17T05:18:10.130578Z",
+     "start_time": "2025-06-17T05:18:10.003027Z"
     }
    },
    "source": [
@@ -83,8 +83,8 @@
     "id": "B2P6VtUUPm7d",
     "outputId": "a6f36d40-29c4-492e-f301-d85d1e2ccc72",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:50.278226Z",
-     "start_time": "2025-06-16T14:50:48.689947Z"
+     "end_time": "2025-06-17T05:18:12.069885Z",
+     "start_time": "2025-06-17T05:18:10.257727Z"
     }
    },
    "id": "B2P6VtUUPm7d",
@@ -93,16 +93,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--2025-06-16 23:50:48--  https://web-ext.u-aizu.ac.jp/~udayrage/datasets/temporalDatabases/Temporal_T10I4D100K.csv\r\n",
+      "--2025-06-17 14:18:10--  https://web-ext.u-aizu.ac.jp/~udayrage/datasets/temporalDatabases/Temporal_T10I4D100K.csv\r\n",
       "Resolving web-ext.u-aizu.ac.jp (web-ext.u-aizu.ac.jp)... 163.143.103.34\r\n",
       "Connecting to web-ext.u-aizu.ac.jp (web-ext.u-aizu.ac.jp)|163.143.103.34|:443... connected.\r\n",
       "HTTP request sent, awaiting response... 200 OK\r\n",
       "Length: 4606762 (4.4M) [text/csv]\r\n",
       "Saving to: ‘Temporal_T10I4D100K.csv’\r\n",
       "\r\n",
-      "Temporal_T10I4D100K 100%[===================>]   4.39M  8.28MB/s    in 0.5s    \r\n",
+      "Temporal_T10I4D100K 100%[===================>]   4.39M  6.93MB/s    in 0.6s    \r\n",
       "\r\n",
-      "2025-06-16 23:50:50 (8.28 MB/s) - ‘Temporal_T10I4D100K.csv’ saved [4606762/4606762]\r\n",
+      "2025-06-17 14:18:11 (6.93 MB/s) - ‘Temporal_T10I4D100K.csv’ saved [4606762/4606762]\r\n",
       "\r\n"
      ]
     }
@@ -194,8 +194,8 @@
     "id": "ypvmb4UgQz2p",
     "outputId": "88216abe-2c9d-4864-eaf6-4f8756a23af7",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:56.991875Z",
-     "start_time": "2025-06-16T14:50:50.292614Z"
+     "end_time": "2025-06-17T05:18:18.758981Z",
+     "start_time": "2025-06-17T05:18:12.083561Z"
     }
    },
    "id": "ypvmb4UgQz2p",
@@ -204,9 +204,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 5.4847681522369385\n",
-      "Memory (RSS): 83886080\n",
-      "Memory (USS): 60096512\n"
+      "Runtime: 5.491246938705444\n",
+      "Memory (RSS): 157696000\n",
+      "Memory (USS): 133644288\n"
      ]
     }
    ],
@@ -289,8 +289,8 @@
     "id": "2-y_XP0bRMFw",
     "outputId": "973c8e16-3106-4a97-9d19-bf1b16dc6386",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:50:57.033320Z",
-     "start_time": "2025-06-16T14:50:57.012580Z"
+     "end_time": "2025-06-17T05:18:18.792846Z",
+     "start_time": "2025-06-17T05:18:18.777273Z"
     }
    },
    "id": "2-y_XP0bRMFw",
@@ -299,9 +299,9 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.0016570091247558594\n",
-      "Memory (RSS): 169803776\n",
-      "Memory (USS): 132120576\n"
+      "Runtime: 0.001728057861328125\n",
+      "Memory (RSS): 183418880\n",
+      "Memory (USS): 148013056\n"
      ]
     }
    ],
@@ -366,8 +366,8 @@
     "id": "Ogona47-S7FR",
     "outputId": "a4100521-0963-4102-a703-7c1d44cc47b4",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:51:15.700189Z",
-     "start_time": "2025-06-16T14:50:57.094628Z"
+     "end_time": "2025-06-17T05:18:35.642811Z",
+     "start_time": "2025-06-17T05:18:18.818312Z"
     }
    },
    "id": "Ogona47-S7FR",
@@ -380,15 +380,15 @@
       "Number of items : 1000\n",
       "Minimum Transaction Size : 0\n",
       "Average Transaction Size : 10.0\n",
-      "Maximum Transaction Size : 20\n",
+      "Maximum Transaction Size : 21\n",
       "Minimum Inter Arrival Period : 1\n",
       "Average Inter Arrival Period : 1.0\n",
       "Maximum Inter Arrival Period : 1\n",
-      "Minimum periodicity : 477\n",
-      "Average periodicity : 740.587\n",
-      "Maximum periodicicty : 1520\n",
-      "Standard Deviation Transaction Size : 5.793729368895306\n",
-      "Variance : 33.567635676356765\n",
+      "Minimum periodicity : 494\n",
+      "Average periodicity : 744.308\n",
+      "Maximum periodicicty : 1367\n",
+      "Standard Deviation Transaction Size : 5.772503789518028\n",
+      "Variance : 33.322133221332216\n",
       "Sparsity : 0.99\n"
      ]
     },
@@ -397,7 +397,7 @@
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ],
-      "image/png": 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"
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"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -407,7 +407,7 @@
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ],
-      "image/png": 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"
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O9+/wisDhN4Ho0UcflX/84x8e17Vt21Z+/fVX83N+fr7cc889MnXqVCkoKJCBAwfKxIkTpUmTPw6YGRkZcvvtt8vcuXMlNjZWhg0bJuPGjZPQ0D8+kPPmzZMxY8bImjVrJDU1VR588EG58cYbq72fBKIjf8HmFZaY61yhZ+9hE4J+33dI8os8v7zdJceEy/7DhVV2ETx0aXu54tQWdd41UF8+XrFd/v7hajlUUGwOIE8P7iIXdW5W44Pq8q2Z8tnKXSYc7czO9zh4ndeuselWO7dtI3Mw8qXaLG0NfHXeBpm7bq/runNOaSR3nNva7KM+NxXDQObhQhMCvt+wT77fsFe2HvCckkCfR20p0XB0VpuGkp4c7XPvF/1qnfXLbpkw6zf5dddBc12D6DC5/dzWcn2vliYM244UiivWHC3bkikLfy8LSBquK7awtW4UY56XUsuS937KMMFTn5YLOzY12y7PyJR9hyp/7jRYafjpruEnvYG0bRInoSFV166576t+Xv+7dJtMnLtRtmfluT7bI84+Sa7vle7VVj1f+gwE0r76G78KRP/973/lm2++cV2nQaZhw4bmZw06n332mUyZMsU8oDvvvFOCg4Plhx9+MLeXlJTIqaeeKk2bNpVnnnlGdu7cKTfccIOMGDFCnnzySbPNpk2bpFOnTnLbbbfJLbfcIrNnz5bRo0eb+9WAVR0EIpH//LhFHvp4tflLUg87JzeJNc35+iV4pHeQ/lWfnhxjvqRbN4otOzWOlZMaxUh8pOdfm/rHfoPoP0LS6S0byKN/6igdmyeIvzpcUGxGD+kBw35Mz199mrRIPLEvPA1HK7ZlyRerdsrnq3a5DkQqKixE2jSOkdXbc7w6akm/Vub8ukdenbfRtHJJ+b5oobgGAvfXtTphQLvZvlu/z9Rf6ZxNOfmeXTopDaJM15p2sWlXUoOYcK8dZPSxf7t+nzz79TpZuS3bVQt2a9+T5KazWklsLYUEDdiLNx+QH8tbkFbvyD7iZ9FdeEiwdE5JKAs/aYnSLa2BR8vS8dCWqw+Xb5OX525whVcNf7f0PUlu6J0ucZFhUp/8qT7x3UVb5MGPVvvFvvojvwpEH330kaxYsaLSbbrzjRo1knfffVeuuuoqc522HLVv314WLlwovXr1ki+++EIuvfRS2bFjh6vVaNKkSfLAAw/I3r17JTw83Pys4Wf16tWu+7766qslKytLvvzyy2rtpxMD0YHDhaY5fcnmA+bLdtX2si/2qiREhUmbxrGVgk9qg6gj/pV5pL82X/9uk7w8Z4PkFZWYL4dre6bLPQNOkcTocPEnq7dny13vLTddJPo4Rp1/sukiOdbzUVP68dWDrnarfbZqp6s2xZ0G2CcHdZL+HZqabo26rpOZuXKn6RqzW0X0ADy4e4rpTmnZMKZWin61K0nDkbYgadFvUckfX2PaIqKhc3tmnisUPjmos6lxqWuLft9v6sR+2nzA1Xp3U5+WMqLvSXX+Hs7OLZJFm/bLB8u2yVdrdle6/bqeaTKoW4p0ahFfZ8X5Wif38Yod8srcDa5CbP1+uLlPK7mxT0vzc11btS1L/vTKDx7hUD8Dw3q3lOYNIs0fY7of8VHl5+WXYyNDq9UNe6ygrZ9JDew6Mk//wNNzbZU7YP9cfr7/UKGpEczKK6p0H9rt2Kd1Q+mammDey77W+ulP/CoQacuO7mxkZKT07t3bdHelpaXJnDlzpF+/fpKZmSmJiYmu/5Oenm5aeO6++255+OGH5ZNPPvEIVNoidNJJJ8myZcvktNNOk7PPPlu6desmzz//vGubyZMnm/vQJ6gq2j2nJ/cnVLvaAjUQ6VtAiyX1r82lmzNlyZYDpuvrWB69rINc1rW5CTK1+YHdkZUnT36+1hxY7b8077+wnfylR6rP143oc/nmD5vl6S9+lcKSUlM0+/zVp0qvk5Lr5Xe/uyhD/v7RH+G/Iu1a0pYBPfVITzKF3bUxrFu7c6Yv2Sr/+vZ3VyjTOqfreqXL8LNanXALxLFa4rRbzrQgbdgrv+0+VOV2Z7TU7qAk6dg83pxaJsfU2pB27YrSrjHdB6VTJdzQK11uO7e1NIyt2xBa1QG7z1NzPOq06nvAgh2MX5qz3vVdooMCNBzefFarWguHWhCuf6z9vFVPWfLztiyP7uSa0pa8PwKT+89l5xv2HJRPf95pgra+c7TLVovK3UPO/sMFHgH9RDWMDZeuKYnSNbX8lJLgd38g+ksg8mrlW8+ePU13mNYNaXeX1hP17dvXtObs2rXLtPC4hyGlLUF6m9Jz93oi+3b7tqNto09SXl6eREVV/oLQUFaxtimQaPP2mh3ZsqQ8/GhLUFV1Bdrqo9082uKjAaXiF+zATk0luQ6+7JsnRsnLQ7vJ0J775NFP1pgDnDZ/a03EP/7U0RTX+iL9Qrx3+s+uWhkdLj9+cBfTfVMfNJSe376xBH9cNkeM63oR002prVVb9uea04xl210HAO0y6aEhqWUDOTU1sUYFsTpi8P8WbpHJP2xyvYc0IN/cp6Wpk9FC3LqmdSpaQ6Un9dnKHTLy3eWVtvtpc6Y5uf5feIh0MOEooTwkJZiu4LAatOJpofiEWevMHD12N7EWSt953snSNME70wZo6NFul4qF2vXZbagtoVec1sL8waStlxqM9HOscy698f0mGXZmS9Odpu+Vmnxvrdt10HQXm/CzNUs27D1UqZtQ3+8V44heN7hbC9Gckp1XJDl6yi8q/7nYtEirg/nF5uTeDX0k+jvsAFwV7RpNjg03NVX6PanBJjkmouw6vRwTbl6fYW/+5Pl5DRK54tTmsmHPYVm7M8d8rmb/usec3Ef8lYWjspCk79+qBlZQm1QzXg1EF110kevnLl26mICkLUDvv/9+lUGlvowdO9YUYVdsIfIXFT8E+qHXbgXt/tIQpENsCyqMVtFujS4pCdKjZVLZwTG9gceBXA+c9f0Fq8Whn93V1xxwn5v1m+kaGjRxgfy5e4o8cFG7ev/L+2h+2LBPRk8rm1tIWwceuqS9aR2p76buIx0MtSZB3wfakqGFuVrXo+8D/fKf/9tec1LaAtehWXxZC1LLsveB++tsv7f0/aAF3u/8uMU1RFub9m89+yTTkudeMFzftChYG37cDzJ6+b6B7WRrZq6s2ZEjv+7MkcOFJbJ4c6Y5uX8OTmkaK53KQ1KH5gnSvlmcKyTajz9IguQ/i7bIZ+WtmHr/g7ulyF39TpbUpBMfCn+i9PXWqRmOVZtV1/T9pKFIC/6/WrPLTDmgXakT522UKQs2m8JrDUbFpaUe31l2q7WGnhXlLT/6ulUcZWe/7zTIa/eSBoROLRLMSMaqPgNHUlBcYj4LGpRMSMovrhSc1u8+ZOriKhp6RqppedSg0zAmQpLKQ1B1R34e6fNqt7z+sjPHFQB/3pZtnid9bvSk3ZMqNDhI2jWLcwUkfT70D92/f+gfdVS+wueG3Z9++unSv39/ueCCC7zWZebPNUTuxYT2vCU6zL3iq6zdUN3Tk8xBTwOQfokc6wNcneLXuqJB4+kvf3UVKOsBecwFp5gv1Nquy6lpzYR2lWjNjD230EtDT5N2Tb37PqnOa6XdGnpwMkHZTMKXKTuq6G7QA44GI/Xpyh2V3kv6mLVQWg98NWldqUvuBftVHRD1sWtXjraU6oHWPteDYkV6MDmpUazERoSYrpmKX5j6uEf3P9m0pOLYAwK+WbtbXpyz3hT+q9CQICkpsVzdUNoyrd9ZGkIq0m4rc8BPSTDnOv3Ckeriavv7qi67Imuyr1m5heaPQ7uLUANjVS38FQX6PG9+X0NU0aFDh0z9kNYW6fB5Lap+7733ZPDgweb2devWSbt27SoVVWt3W+PGZc3lr732mtx3332yZ88eiYiIMEXVn3/+uaxatcr1e4YOHSoHDhwIuKLqqj6w7k2sduuPnmsBtD8W6ulfPY98str1ZarDg3U0mk5U50tzC/krrd+yw5F2p67dedAUMR+JTiGgLXa+sLzEiR4Q9atQR0jZ4Wh1+fnRZhR/++YzTEsMakaf63nr9sr4r9aZbqGqaEurttJpq4fOiaTn3p5e4VhB21vPpf4hY7ciaUCqqhdAvTeil1e+K73JbwLRvffeK5dddplp9dGRYo888ohp7fnll19MGNJh9xpmtM5IH8ioUaPM/1uwYIHHsPvmzZvL+PHjTb3Q9ddfb4bXVxx2P3LkSLn55ptNsfZdd90VkMPudTjy0H8vqnT9pOu6yYWdajbvjS/TA7TOcjz+q18lK7fI9Vf63y5uV29//VScW+ipwV3MkPJAowXL+iU7Y/l2V+uc075g9+Tkm8euB28nPv66tGDDPhn6euXvrCev6CRX9Uj1yXX8vNlSXl3bMnOl7/i5Hq25tBBlH/P47dV327Zt2+Saa64xRdV/+ctfJDk5WX788UcThtRzzz1nWoC0hUi7vnS+oRkzZrj+f0hIiMycOdOc6wi16667zsxD9Nhjj7m2adWqlQk/s2bNkq5du8qzzz4rr7/+erXDkD/R/veKf6jrh0CblgOJ1iVoa8zce86V63qlmSLET3/eIf2enW/mvdF6AP3S0oCo57VF72vOr7tl5DtL5a9TV5gwpC1un/+1b0CGIbtg+cw2Dc3UB1W9t/SgEOh0hNygbi0c+/jrUqtGVX9nnde+sU+GIaWBQkOwLwcLXdLlqSs7uy6bqSfqubDeH/lUl5mv8pcWInuSr799WDbs2imFdDrnj06AqN1pSkdz6Pwf+s62nwMteNVh8FqUqSdtTna/XNVtBUUlrusXbzpg1hazPyz6HT6q38lyVx3MLeSrfLG7oD45/fHXFZ7XujNo4g+yPCNLHrmsvdzU5yRxohx/6TLzF/4UiLSu5exn5ppRB/PvO1da1MLij/5A38a6cObjM9dKZu6xCwxPlAatH/7nfMf9xeUP3QV1yemPv67wvNaN+6b/LNOXbjMDUHQEpBPl+Ms8RKh9unCj0uJDp4QhpYWWV3ZLMaNQhr+15JhhRpvjdYh1eGiIROjPrsuVf9Zht4t+L5t52KZ1xvoF7rQvb328TnvM7pz++OsKz2vdsKeA2Fp+XMDREYgCNBCl+cBcKN6gE+1VNQfNF3/ta74cNOjUtIvrSMNtqR8B4Mt00V5V1ZI+qMwZxQ8O4vRAZE9MqIFF6blebts03kyudzz1PlXdJwWKAHxdankvgU5IimOjhSjA2E2jvjBbbiDN0usrM/8CQE1Gmyld300nI3XKAJDjRSAKMPZfAk5tIarLmgTqHAD4k8ZxEaYOUkfKaihy8h/K1UFcDNQus2Te+ADgZDqDfEpi2R9xFFYfG4EogOjaP/bMzXbfMQDAuVLskWbUER0TgSiA2H8B6MSEOsMwAMDZUhsw0qy6CEQBhIJqAIA75iKqPgJRANYP0V0GAFAp5S1EW2khOiYCUQBx+hxEAIAjzEVEC9ExEYgCCIEIAFBVl9megwWSX1Ti7d3xaQSiAEINEQDAXYPoMIkJDzE/U1h9dASiAFFSarne7MxBBACwF762/0jextD7oyIQBQhdgLS41JKwkCBpGh/p7d0BAPjYEh4UVh8dgShAbD2Q53rjh+jy7gAAuI0020Zh9VERiAIE9UMAgKPORUSX2VERiAJuhBmLjwIAKs9WbfckoGoEogDBkHsAQFVoIaoeAlGAIBABAI4WiHTx74P5ZQuAozICUYDVENmjCQAAULERoWY+IsVcREdGIAoAhwqKZf/hQvMzcxABAI449J6RZkdEIAoA9hs8MTpM4iPL/goAAMCWWj7ghrmIjoxAFACoHwIAHA2LvB4bgSgAMAcRAOBoUli+45gIRAGAFiIAQHXmIqKo+sgIRAGAQAQAqNZcRAdyxbIsb++OTyIQBVCXGYEIAFCVFollLUSHC0skM5e5iKpCIPJzpaWWa9QAgQgAUJXIsBBpHBdhfqawumoEIj+352CBFBaXmhXumyVEent3AAA+iiU8jo5AFCD1Q9ocGhrCywkAqBqLvB4dR1A/R0E1AKAmLUQMva8agShAApE9CykAAEednJGh91UiEPk5JmUEAFRHij0XEUXVVSIQ+Tm6zAAANesyyzMjlOGJQOTnCEQAgOrQkcg6IrmwpNSMUIYnApEfyysskb3lb2oCEQDgaHQksj09C0PvKyMQ+TH7DR0XGSoJUWHe3h0AgJ8UVjPSrDICUYAs2REUFOTt3QEA+Dh7RDJzEVVGIPJj1A8BAGoixR56z0izSghEfoxABAA4rhYiuswqIRD5MeYgAgAc1+SMdJlVQiDyY7QQAQBqwv4Demd2nhSVlHp7d3wKgchPWZZFIAIA1Eij2AgJDw0WnZdxV3a+t3fHpxCI/NTeQwWSX1QqOriseSLrmAEAji04OMi1hAeF1Z4IRH7KfiM3T4gyaR8AgBqNNKOw2gNHUj/FKvcAgOOR6mohorDaHYHIT2XsL3sjUz8EADiewmpaiDwRiPwUBdUAgBMbek8gckcg8lPMQQQAOLHJGekyc0cg8lN2UyctRACA42kh2ntQRyuXeHt3fAaByA/pG3hXTtn8EQQiAEBNJEaHSUx4iPl5G61ELgQiP7Q9K08sS8wbOikm3Nu7AwDwI0FBQRRWV4FA5NdD7qPNGxsAgOOZi2gbhdW+F4ieeuopc3AfPXq067r8/HwZOXKkJCcnS2xsrAwePFh2797t8f8yMjLkkksukejoaGncuLHcd999Ulxc7LHNvHnzpFu3bhIRESFt2rSRKVOmSCAUVNNdBgA4HhRW+2ggWrx4sfzrX/+SLl26eFx/9913y6effirTp0+X+fPny44dO+TKK6903V5SUmLCUGFhoSxYsEDeeustE3Yefvhh1zabNm0y25x33nmyYsUKE7huueUW+eqrr8RfZexnhBkA4Pgx9N4HA9GhQ4fk2muvlX//+9/SoEED1/XZ2dnyxhtvyIQJE+T888+X7t27y+TJk03w+fHHH802X3/9tfzyyy/yn//8R0499VS56KKL5PHHH5dXXnnFhCQ1adIkadWqlTz77LPSvn17ufPOO+Wqq66S5557TvwVcxABAE6E/Qc1RdU+FIi0S0xbcPr37+9x/dKlS6WoqMjj+nbt2klaWposXLjQXNbzzp07S5MmTVzbDBw4UHJycmTNmjWubSret25j30dVCgoKzH24n3wJgQgAcCJcC7xSVO0bgWjq1KmybNkyGTduXKXbdu3aJeHh4ZKYmOhxvYYfvc3exj0M2bfbtx1tGw05eXlVJ2Pdn4SEBNcpNTVVfIVlWUzKCAA4IfbxIyu3SA7mF3l7d5wdiLZu3Sp//etf5Z133pHIyEjxJWPHjjVddvZJ99VXHDhcKIcLSzwSPgAANREbESoNosPMzyzy6uVApF1ie/bsMaO/QkNDzUkLp1988UXzs7biaB1QVlaWx//TUWZNmzY1P+t5xVFn9uVjbRMfHy9RUVUHCh2Npre7n3ytu6xpfKREhpVNrAUAQE0xF5GPBKJ+/frJqlWrzMgv+9SjRw9TYG3/HBYWJrNnz3b9n3Xr1plh9r179zaX9VzvQ4OVbdasWSbAdOjQwbWN+33Y29j34W/sIZLUDwEATgQjzTyFeusXx8XFSadOnTyui4mJMXMO2dcPHz5cxowZI0lJSSbkjBo1ygSZXr16mdsHDBhggs/1118v48ePN/VCDz74oCnU1lYeddttt8nLL78s999/v9x8880yZ84cef/99+Wzzz4Tf0T9EACgNqSUz0XESDMvB6Lq0KHxwcHBZkJGHfmlo8MmTpzouj0kJERmzpwpt99+uwlKGqiGDRsmjz32mGsbHXKv4UfnNHrhhRckJSVFXn/9dXNf/jwHES1EAIBama2aLjPfC0Q6o7Q7LbbWOYX0dCTp6eny+eefH/V+zz33XFm+fLkEAteQ+2QKqgEAxy/VHnpPUbVvzEOEmmEOIgBAbRdVW7piuMMRiPxIYXGp7MwuS/LUEAEATkSLxLIWotzCEjOli9MRiPzIjqw8KbVEIsOCpVFsWdE4AADHQ6duaRJfdizZSmE1gcgfu8t0qGRQUJC3dwcAECBD77dRWE0g8ifUDwEA6qSO6AAtRAQiP8IcRACA2sQir38gEPkRWogAALWJ2ar/QCDyIwQiAEBtYrbqPxCI/Iid4NOSCUQAgNprIdqemSelOozZwQhEfiI7t0hy8os93sAAAJyIZgmREhIcJIUlpbLnYIE4GYHIz7rLGsVFSFR4iLd3BwAQAEJDgqV5YqT52emF1QQiP0H9EACgLqQkUlitCER+gkAEAKgLqeWF1VsdPhcRgcjfZqkmEAEA6mLofSZdZvCnSRnLJ9ECAKB2Z6vOFScjEPkJuswAAHXZZbbN4XMREYj8QHFJqWzPKnujMgcRAKAuusx2ZudJUUmpOBWByA/szM6XklJLwkOCpUlc2fBIAABqQ8PYCAkPDRadl3FnVr44FYHIj7rLdIr14OAgb+8OACCA6HElhUVeCUR+tWQH9UMAgDqQyiKvBCJ/QEE1AKBe5iLKJBDBhxGIAAD10UK0zcEjzQhE/jQHEYEIAFAHUpmLiEDkD2ghAgDUpRRXUTUtRPBROflFkplbZH6mhQgAUJddZnsPFkh+UYk4EYHIx9nNl0kx4RIbEert3QEABKDE6DDXMWabQwurCUQ+jvohAEBdCwpym4vIoaveE4h8HPVDAID6kFp+nKGFCD4eiFjlHgBQD5MzZtJCBB+UUd50SQsRAKAupbi6zGghgg/aRg0RAKA+5yLKJBDBx+gK9/asobQQAQDqZfmOA3SZwcfszsmXwpJSCQ0OkmYJ1BABAOq+hig7r8jMgec0BCI/KKjWft2Q4CBv7w4AIIDFRISaOe/UNge2EhGI/CAQUT8EAKgPqa4lPJxXR0Qg8mF2pT/1QwCA+pBiD7134EgzApEPY1JGAEB9SikvrLYH9DgJgciH0WUGAPDK5IwHaCGCD6HLDABQn1IdPBcRgchHHS4oln2HCs3PtBABAOq1qPpAnliWJU5CIPJRdjpPiAozJwAA6lqL8kCUV1QiBw6X/VHuFAQiH5Wxn+4yAED9iggNkSbxEY5c5JVA5KPsNyKBCABQn1IdWlhNIPJR9huR+iEAQH1KdWhhNYHIRzEHEQDA24XVTkIg8lEEIgCAN6SUH3e20UIEbysttZiDCADg1RqibRRVw9v2HiqQguJSs8J9s8RIb+8OAMBBUsq7zLZn5pk/0J2CQOTD3WXNEiIlLISXCABQf5olRJo/yAtLSmX3wXxxCo62Pog5iAAA3hIaEizNy3snnFRYTSDyQRRUAwC8KdWBcxERiHwQcxABAHwiEGUSiOBFtBABALwpNSnKcSPNCEQ+yE7kBCIAgDek0GV2bL///nut/fJXX31VunTpIvHx8ebUu3dv+eKLL1y35+fny8iRIyU5OVliY2Nl8ODBsnv3bo/7yMjIkEsuuUSio6OlcePGct9990lxcbHHNvPmzZNu3bpJRESEtGnTRqZMmSK+Kr+oRHbnFJifCUQAAG9IpYXo2DRQnHfeefKf//zHBJYTkZKSIk899ZQsXbpUlixZIueff75cfvnlsmbNGnP73XffLZ9++qlMnz5d5s+fLzt27JArr7zS9f9LSkpMGCosLJQFCxbIW2+9ZcLOww8/7Npm06ZNZhvd5xUrVsjo0aPllltuka+++kp8kT0zaFxEqCRGh3l7dwAADq4h2pmdJ0UlpeIIVg0tX77cuuuuu6xGjRpZCQkJ1q233motWrTIqi0NGjSwXn/9dSsrK8sKCwuzpk+f7rpt7dq1OkOUtXDhQnP5888/t4KDg61du3a5tnn11Vet+Ph4q6CgwFy+//77rY4dO3r8jiFDhlgDBw6s9j5lZ2eb36vndW322l1W+gMzrYue/7bOfxcAAFUpLS21Tvn75+Z4tHnfIctf1eT4XeMWolNPPVVeeOEF01rz5ptvys6dO+Wss86STp06yYQJE2Tv3r3HFcy0tWfq1Kly+PBh03WmrUZFRUXSv39/1zbt2rWTtLQ0Wbhwobms5507d5YmTZq4thk4cKDk5OS4Wpl0G/f7sLex76MqBQUF5j7cT/WFOYgAAN4WFBTkmrHaKXMRHXdRdWhoqOm+0u6sp59+WjZs2CD33nuvpKamyg033GCCUnWsWrXK1Adpfc9tt90mH374oXTo0EF27dol4eHhkpiY6LG9hh+9Tem5exiyb7dvO9o2GnLy8qp+kceNGycJCQmukz6m+pJR/sZLSyYQAQC8J9Vhi7wedyDSmp877rhDmjVrZlqGNAxt3LhRZs2aZVqPtBaoOtq2bWtqexYtWiS33367DBs2TH755RfxprFjx0p2drbrtHXr1nofcs8cRAAAb0qxW4gcEohCa/ofNPxMnjxZ1q1bJxdffLG8/fbb5jw4uCxbtWrVyhQ2t2zZslr3p61AWqitunfvLosXLzZdckOGDDHF0llZWR6tRDrKrGnTpuZnPf/pp5887s8ehea+TcWRaXpZR7VFRZW92BVpa5WevDopY/kbEQAA785WnSdOEHw8Q+WHDh0qW7ZskY8++kguvfRSVxiy6fD3N95447h2qLS01NTwaDgKCwuT2bNnu27TEKbD7LXGSOm5drnt2bPHtY22UGnY0W43exv3+7C3se/Dl1iWxaSMAACfkFp+HKKF6AjWr19frVYf7fqqTtfURRddZAqlDx48KO+++66ZM0iHxGvtzvDhw2XMmDGSlJRkQs6oUaNMkOnVq5f5/wMGDDDB5/rrr5fx48ebeqEHH3zQzF1kt/BoXdLLL78s999/v9x8880yZ84cef/99+Wzzz4TX7PvUKHkFZVIUJBIC1qIAABelOqwFqIaByLtLtMi6D//+c8e12txdW5ubrWCkE1bduwCbA1AOkmjhqELLrjA3P7cc8+Z1iedkFFbjXR02MSJE13/PyQkRGbOnGlqjzQoxcTEmN//2GOPubbRLjwNPzqnkXbF6dxHr7/+urkvX2O3DjWLj5SI0BBv7w4AwMFSyydn3HeoQPIKSyQqPLCPS0E69r4m/+GUU06Rf/3rX2aiQ3c6ceKtt95qurUCjY5I08CmBdbaUlVXPlq+XUZPWyE9WyXJtP/ne116AADnsCxLujz6tRwsKJZvxpwtbRrHSSAfv2tcQ6Q1PNrqUlF6erq5DSdeUE39EADAF+YiauGguYhqHIi0YHrlypWVrv/555/NmmM4fhRUAwB8SaqDCqtrHIiuueYaueuuu2Tu3Llmdmk9aaHyX//6V7n66qvrZi+dFoiYlBEA4FOF1bkS6GpcVP3444/L5s2bpV+/fma2anuovBZHP/nkk3Wxj47hmoOIFiIAgA8VVm91QJdZjQORDqmfNm2aCUbaTaaTG+p6YlpDhONXUFwiO3Pyzc90mQEAfKqFKJMWoqOONtMTasf2zDzR8X7R4SGSHBPu7d0BAED+WM+MFqJKtGZIl+bQ2Z91HiHtLnOn9UQ4sYJqrewHAMBX1jPLziuSnPwiiY8Mk0BV40CkxdMaiC655BLp1KkTB+9arh9KKW+eBADA22IiQiUpJlwOHC40x6mOzRMkUNU4EE2dOtUsfaELuqL2MOQeAOCLUhtElQeivIAORDUedu++Oj3qIhCxhhkAwHekuOqIAruwusaB6J577jFrgtVwxQ8cQ0b5kEbmIAIA+JJUh8xFVOMus++//95MyvjFF19Ix44dJSzMs8BqxowZtbl/jqDhchtdZgAAH56LaFuAjzSrcSBKTEyUQYMG1c3eOFRWbpFZPE9RVA0A8CUpDpmLqMaBaPLkyXWzJw5m1w81iY+QyLAQb+8OAAAeRdVKi6q1RyNQR5fXuIZIFRcXyzfffCP/+te/5ODBg+a6HTt2yKFDh2p7/xyBEWYAAF/VokGUaAbKKyqR/YcLJVDVuIVoy5YtcuGFF0pGRoYUFBTIBRdcIHFxcfL000+by5MmTaqbPXVAIGINMwCAr4kIDZEmcZGyKyffFFY3jI2QQBR8PBMz9ujRQzIzM806ZjatK9LZq1FzduU+LUQAAJ9e5DUzcAura9xC9N1338mCBQvMfETuWrZsKdu3b6/NfXMMuswAAL4+9H7x5syAnouoxi1EunaZrmdW0bZt20zXGWqOLjMAgD9Mzri1fM68QFTjQDRgwAB5/vnnXZe12lyLqR955BGW8zgORSWlsiOrfFJGAhEAwIcXed0WwC1ENe4ye/bZZ2XgwIHSoUMHyc/Pl6FDh8r69eulYcOG8t5779XNXgYwDUOllhatBUujAC1UAwD4t1QHzFZd40CUkpIiP//8s1nkdeXKlaZ1aPjw4XLttdd6FFmj5t1lwcGBObcDACAwiqq3Z+VJSaklIQF4vAo9rv8UGirXXXdd7e+NA1FQDQDwdc0SoiQ0OEiKSizZnZMvzRMDrwGkxoHo7bffPurtN9xww4nsj+PYBWoEIgCArwoJDjIhSP+I1zXNCETl8xC5KyoqktzcXDMMPzo6mkBUQ3Z/LCPMAAC+3m2WcSDXHLfOaJUk4vRRZjoho/tJa4jWrVsnZ511FkXVx2Hj3rLlTmIjjqv3EgCAepGSGNiLvB7XWmYVnXzyyfLUU09Vaj3C0U1bnCG/7ipbC27sjJXmMgAAPj1b9YHAnIuoVgKRXWitC7yienZm58nYGatcl3Xo/d9mrDbXAwDga1KTAruFqMb9NJ988onHZcuyZOfOnfLyyy9Lnz59anPfAtqmfYdNCHJXYlmyeV+uqeYHAMCXpJTPRbQtQOciqnEguuKKKzwu60zVjRo1kvPPP99M2ojqadUwRnQaB/dQFBIUJC0bUlwNAPDdLrOdOflSWFwq4aG11snkn4FI1zLDidNWoHFXdjbdZNoypGHoySs70ToEAPBJjWIjJDwkSApLLPl5W6ac3jJZAglDm7xoyOlpcvYpjUw3mbYMEYYAAL7q/SVbTRhSf/nXj/LUlZ3NccyxgWjMmDHV3nbChAk1vXvH0RBEEAIA+NNAIKt8IJD+UR8ox7AaB6Lly5ebk07I2LZtW3Pdb7/9JiEhIdKtWzeP2iIAAOD/NjlgIFCNA9Fll10mcXFx8tZbb0mDBg3MdTpB40033SR9+/aVe+65py72EwAAeEkrBwwECrJ03HwNtGjRQr7++mvp2LGjx/WrV6+WAQMGBORcRDk5OZKQkCDZ2dkSHx/v7d0BAKDeTVucYbrN7FD09GDfryGqyfE7+HjufO/evZWu1+sOHiybdRkAAASWIaenyf8N72l+jgkPkb/0SJVAUuNANGjQINM9NmPGDNm2bZs5ffDBBzJ8+HC58sor62YvAQCA13VPLyuVOVxYIpm5RRJIalxDNGnSJLn33ntl6NChprDa3EloqAlEzzzzTF3sIwAA8AGRYSHSJD5CducUyJb9hyUpJlwcG4iio6Nl4sSJJvxs3LjRXNe6dWuJiYmpi/0DAAA+JD0pxgSijAO5clpaWYtRIDjuebd1/TI96Ur3GoZqWJsNAAD8UFpy2ciyLfsDa02zGgei/fv3S79+/eSUU06Riy++2IQipV1mDLkHACCwpZeveu/4QHT33XdLWFiYZGRkmO4z25AhQ+TLL7+s7f0DAAA+2EKUceCwBJIa1xDpHERfffWVpKSkeFyvXWdbtmypzX0DAAA+Jj25rGbY8S1Ehw8f9mgZsh04cEAiIiJqa78AAIAPsrvM9hwskLzCEnFsINLlOd5++22PNctKS0tl/Pjxct5559X2/gEAAB+SGB0mcZFlHUw60syxXWYafLSoesmSJVJYWCj333+/rFmzxrQQ/fDDD3WzlwAAwCcEBQVJenK0rN6eY+Yiats0ThzZQtSpUyezuv1ZZ50ll19+uelC0xmqly9fbuYjAgAAgT8XkaNbiHRm6gsvvNDMVv33v/+97vYKAAD4rLQAnIuoRi1EOtx+5cqVdbc3AADAf+YiOuDQQKSuu+46eeONN+pmbwAAgP/MRbT/sHOLqouLi+XNN9+Ub775Rrp3715pDbMJEybU5v4BAAAfnYtoW2aeFJeUSmjIca8E5l+BSLvJtJg6ODhYVq9eLd26dTPXa3F1xcpzAAAQ2JrGR0p4SLAUlpTKzux8SS3vQgv4QHTaaaeZNcsaN25sZqNevHixJCcn1/3eAQAAnxMSHCQpSVHy+97DZqRZIASiarVxJSYmyqZNm8zPmzdvNhMxAgAA50oPsEVeqxWIBg8eLOecc460atXKdIv16NFDTjrppCpPNTFu3Dg5/fTTJS4uzrQ+XXHFFbJu3TqPbfLz82XkyJGmRSo2Ntbsy+7duz220YVmL7nkErOkiN7PfffdZ2qd3M2bN8909enyIm3atJEpU6bUaF8BAEAVa5oFyCKv1eoye+2118zkixs2bJC77rpLRowYYULMiZo/f74JOxqKNMD87W9/kwEDBsgvv/ziKta+++675bPPPpPp06dLQkKC3HnnnWZf7FmxS0pKTBhq2rSpLFiwwHTt3XDDDWaKgCeffNJso61bus1tt90m77zzjsyePVtuueUWadasmQwcOPCEHwcAAE6TVt5ClBEgLURi1dCNN95o5eTkWHVhz549lu7S/PnzzeWsrCwrLCzMmj59umubtWvXmm0WLlxoLn/++edWcHCwtWvXLtc2r776qhUfH28VFBSYy/fff7/VsWNHj981ZMgQa+DAgdXar+zsbPM79RwAAFjWN7/sstIfmGld9Py3lq+qyfG7xuPkJk+eXCutQ1XJzs4250lJSeZ86dKlZnbs/v37u7Zp166dpKWlycKFC81lPe/cubM0adLEtY22+uTk5Jg11uxt3O/D3sa+j4oKCgrM/3c/AQCAP+h6ZkqLqi1Lc4d/85mJA7RQe/To0dKnTx8zxF/t2rVLwsPDTVG3Ow0/epu9jXsYsm+3bzvaNhp08vLyqqxt0u45+5SamlrLjxYAAP+W0iBadLadQwXFcuBwofg7nwlEWkukcxxNnTrV27siY8eONa1V9mnr1q3e3iUAAHxKZFiImY8oUJbw8IlApIXSM2fOlLlz50pKSorrei2ULiwslKysLI/tdZSZ3mZvU3HUmX35WNvEx8dLVFRUpf3RkWh6m/sJAAAEbmG1VwOR9jlqGPrwww9lzpw5Zli/O10aREeL6agwmw7L12H2vXv3Npf1fNWqVbJnzx7XNrNmzTIhpkOHDq5t3O/D3sa+DwAAcPx1RIEwF1GN1zKr7W6yd999Vz7++GNTqG3X/Gjdjrbc6Pnw4cNlzJgxptBaQ86oUaNMkOnVq5fZVofpa/C5/vrrZfz48eY+HnzwQXPf2tKjdLj9yy+/LPfff7/cfPPNJny9//77Zjg/AAA4PoE0F5FXW4heffVVU6Nz7rnnmjmB7NO0adNc2zz33HNy6aWXmgkZzz77bNP9NWPGDNftISEhprtNzzUoXXfddWYeoscee8y1jbY8afjRVqGuXbvKs88+K6+//jpzEAEAcALSAqjLLEjH3nt7J3ydjkbT1ioNb9QTAQBQZuW2LPnTyz9Io7gIWfx3z+lt/O347RNF1QAAwP+kJ5V1me09WCC5hZ5LZvkbAhEAADguCdFhkhAV5pqg0Z8RiAAAgDh9pBmBCAAAiNMLqwlEAADgxFuI/HzoPYEIAACccGE1XWYAAMCx0txWvfdnBCIAAHDCXWbbM/OkuKRU/BWBCAAAHLcmcZESHhosxaWW7MjKF39FIAIAAMctODjINdLMnwurCUQAAOCEpNuByI8LqwlEAABAnF5YTSACAAC11EJElxkAAHCo9GT/n4uIQAQAAGqty8yyLPFHBCIAAHBCUhpESVCQSG5hiew7VCj+iEAEAABOSERoiDRPiDI/Z/jp0HsCEQAAOGGuuYj8tI6IQAQAAGpv1XsCEQAAcKo0P5+LiEAEAABqscuMGiIAAOBQ6UllcxHRQgQAAMTpXWb7DhXKoYJi8TcEIgAAcMISosIkMTrM/Jzhh4XVBCIAAFCra5r541xEBCIAAFAr0vx4TTMCEQAAqN1V7/2wsJpABAAAancuIlqIAACAU6W7WoioIQIAAA6VXl5DtCMrX4pKSsWfEIgAAECtaBwXIRGhwVJSasn2zDzxJwQiAABQK4KDg/5YwsPPCqsJRAAAoNZXvc/wszXNCEQAAKDWpCX551xEBCIAAFDrLUR0mQEAAMdK89O5iAhEAACgDtYzyxXLssRfEIgAAECtSWkQLcFBInlFJbL3YIH4CwIRAACoNeGhwdIsIcrv6ogIRAAAoG4Kq/2ojohABAAAxOlzERGIAABA3cxFRJcZAABwqnS6zAAAgNOluQ299xcEIgAAUCctRAcOF8rB/CLxBwQiAABQq+IiwyQpJtyvus0IRAAAQJzebUYgAgAA4vTCagIRAACowzXN/GMuIgIRAACodWnJ5XMR0UIEAACcKp0uMwAA4HTp5V1mO7PzpLC4VHwdgQgAANS6RnEREhUWIqWWyLZM328lIhABAIBaFxQU5Bp67w9rmnk1EH377bdy2WWXSfPmzc0T99FHH3ncblmWPPzww9KsWTOJioqS/v37y/r16z22OXDggFx77bUSHx8viYmJMnz4cDl06JDHNitXrpS+fftKZGSkpKamyvjx4+vl8QEA4GRprlXvCURHdfjwYenatau88sorVd6uweXFF1+USZMmyaJFiyQmJkYGDhwo+fn5rm00DK1Zs0ZmzZolM2fONCHr1ltvdd2ek5MjAwYMkPT0dFm6dKk888wz8uijj8prr71WL48RAACn1xFt8YNAFOrNX37RRReZU1W0dej555+XBx98UC6//HJz3dtvvy1NmjQxLUlXX321rF27Vr788ktZvHix9OjRw2zz0ksvycUXXyz//Oc/TcvTO++8I4WFhfLmm29KeHi4dOzYUVasWCETJkzwCE4AAKBuRpr5w1xEPltDtGnTJtm1a5fpJrMlJCRIz549ZeHCheaynms3mR2GlG4fHBxsWpTsbc4++2wThmzayrRu3TrJzMys18cEAICTpPnRXERebSE6Gg1DSluE3Oll+zY9b9y4scftoaGhkpSU5LFNq1atKt2HfVuDBg0q/e6CggJzcu92AwAAxztbda6UlloSHBwkvspnW4i8ady4caY1yj5pITYAAKiZFg2iJCQ4SAqKS2XPwT8aGnyRzwaipk2bmvPdu3d7XK+X7dv0fM+ePR63FxcXm5Fn7ttUdR/uv6OisWPHSnZ2tuu0devWWnxkAAA4Q1hIsDRPjDQ/b9nv23VEPhuItJtLA8vs2bM9uq60Nqh3797msp5nZWWZ0WO2OXPmSGlpqak1srfRkWdFRUWubXREWtu2bavsLlMRERFmGL/7CQAA1Fx6UoxfzEXk1UCk8wXpiC892YXU+nNGRoaZl2j06NHyxBNPyCeffCKrVq2SG264wYwcu+KKK8z27du3lwsvvFBGjBghP/30k/zwww9y5513mhFoup0aOnSoKajW+Yl0eP60adPkhRdekDFjxnjzoQMA4AhpfjIXkVeLqpcsWSLnnXee67IdUoYNGyZTpkyR+++/38xVpMPjtSXorLPOMsPsdYJFmw6r1xDUr18/M7ps8ODBZu4im9YAff311zJy5Ejp3r27NGzY0Ez2yJB7AADqcS6iA74diIIsnfAHR6VddRqstJ6I7jMAAKrvy9U75bb/LJOuKQny8Z1nia8ev322hggAAPi/NGqIAACA06WV1xBl5RZJdt4fA5x8DYEIAADUmdiIUGkYG+7zhdUEIgAAUKfSXIXVvjsXEYEIAADUqXQ/WNOMQAQAAOqlhYguMwAA4Fjp5YXVdJkBAABxeiDKoIUIAAA4fS6inTn5UlBcIr6IQAQAAOqUDruPDg8RXRtj64E88UUEIgAAUKd0wXZXYbWP1hERiAAAQP0VVvtoHRGBCAAAiNPnIiIQAQCAOvdHlxmBCAAAiNO7zA6LLyIQAQCAOpdePvR+a2aelJZa4msIRAAAoM41T4yU0OAgKSwulV05+eJrCEQAAKDOhYYES4sGUT5bR0QgAgAA4vRFXglEAABAnL7IK4EIAADUa2G1L85FRCACAAD1Is1e9Z4aIgAA4FTpPrx8B4EIAADUa1F1dl6RZOcWiS8hEAEAgHoRHR4qjeIifLKwmkAEAADqTXqSb3abEYgAAIA4vbCaQAQAALww9J4uMwAA4FDpPjrSjEAEAADqDV1mAADA8dLLi6p1xfv8ohLxFQQiAABQb5JiwiU2IlQsS2Rbpu+0EhGIAABAvQkKCnJN0OhLdUQEIgAAIE4vrCYQAQAAcXphNYEIAACI0+ciIhABAADvdJnRQgQAAJwqrbyoetuBPCkptcQXEIgAAEC9apYQKaHBQVJYUmrmI/IFBCIAAFCvQkOCJaVBlE/VERGIAABAvUtLLiuszvCRofcEIgAA4LUlPHylsJpABAAAvDbSjBYiAADgWGmuFiJqiAAAgEOll9cQ6fIdlq706mUEIgAA4LUWooP5xZKVWyTeRiACAAD1Lio8RBrHRfhMYTWBCAAAeHnVe+/XERGIAACAV6SVL/LqCyPNCEQAAECcvsgrgQgAAIjT5yIiEAEAAHH6XEQEIgAA4NW5iHbnFEh+UYl4E4EIAAB4RYPoMImLCDU/Z3i5johABAAAvCIoKEjSXEPvCUT15pVXXpGWLVtKZGSk9OzZU3766Sdv7xIAAI6W7iNzETkmEE2bNk3GjBkjjzzyiCxbtky6du0qAwcOlD179nh71wAAEKfPRfTTpgOyMzvPa/vhmEA0YcIEGTFihNx0003SoUMHmTRpkkRHR8ubb77p7V0DAMCx9hzMN+df/7Jb+jw1R6YtzvDKfjgiEBUWFsrSpUulf//+ruuCg4PN5YULF1bavqCgQHJycjxOAACgdmmL0IfLt7sul1oif5ux2istRY4IRPv27ZOSkhJp0qSJx/V6edeuXZW2HzdunCQkJLhOqamp9bi3AAA4w6Z9h8WyPK8rsSzZvK/+C6wdEYhqauzYsZKdne06bd261du7BABAwGnVMEaCgzyvCwkKkpYNywqt65MjAlHDhg0lJCREdu/e7XG9Xm7atGml7SMiIiQ+Pt7jBAAAalezhCgZd2VnE4KUnj95ZSdzfX0rmw0pwIWHh0v37t1l9uzZcsUVV5jrSktLzeU777zT27sHAIBjDTk9Tc4+pZHpJtOWIW+EIccEIqVD7ocNGyY9evSQM844Q55//nk5fPiwGXUGAAC8R0OQt4KQ4wLRkCFDZO/evfLwww+bQupTTz1Vvvzyy0qF1gAAwHmCLKtifTcq0mH3OtpMC6ypJwIAIPCO344oqgYAADgaAhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8AhEAAHA8xyzdcSLsybx1xksAAOAf7ON2dRblIBBVw8GDB815amqqt3cFAAAcx3Fcl/A4GtYyq4bS0lLZsWOHxMXFSVBQUK2nVw1aW7duZZ00H8dr5V94vfwHr5X/yPGz10ojjoah5s2bS3Dw0auEaCGqBn0SU1JS6vR36BvLH95c4LXyN7xe/oPXyn/E+9FrdayWIRtF1QAAwPEIRAAAwPEIRF4WEREhjzzyiDmHb+O18i+8Xv6D18p/RATwa0VRNQAAcDxaiAAAgOMRiAAAgOMRiAAAgOMRiAAAgOMRiLzolVdekZYtW0pkZKT07NlTfvrpJ2/vEqrw6KOPmhnK3U/t2rXz9m5BRL799lu57LLLzCy0+rp89NFHHrfrmJGHH35YmjVrJlFRUdK/f39Zv3691/bX6Y71et14442VPmsXXnih1/bXycaNGyenn366WaGhcePGcsUVV8i6des8tsnPz5eRI0dKcnKyxMbGyuDBg2X37t3irwhEXjJt2jQZM2aMGb64bNky6dq1qwwcOFD27Nnj7V1DFTp27Cg7d+50nb7//ntv7xJE5PDhw+azo39cVGX8+PHy4osvyqRJk2TRokUSExNjPmf6RQ7fe72UBiD3z9p7771Xr/uIMvPnzzdh58cff5RZs2ZJUVGRDBgwwLyGtrvvvls+/fRTmT59utlel7i68sorxW/psHvUvzPOOMMaOXKk63JJSYnVvHlza9y4cV7dL1T2yCOPWF27dvX2buAY9Ovsww8/dF0uLS21mjZtaj3zzDOu67KysqyIiAjrvffe89Je4kivlxo2bJh1+eWXe22fcGR79uwxr9n8+fNdn6WwsDBr+vTprm3Wrl1rtlm4cKHlj2gh8oLCwkJZunSpab53Xy9NLy9cuNCr+4aqaTeLNvOfdNJJcu2110pGRoa3dwnHsGnTJtm1a5fH50zXNNLuaT5nvmvevHmmi6Zt27Zy++23y/79+729SxCR7Oxsc56UlGTO9RimrUbuny8tJUhLS/PbzxeByAv27dsnJSUl0qRJE4/r9bJ+gcO36AF0ypQp8uWXX8qrr75qDrR9+/Y1KyjDd9mfJT5n/kO7y95++22ZPXu2PP3006Yb5qKLLjLfl/Ce0tJSGT16tPTp00c6depkrtPPUHh4uCQmJgbM54vV7oFj0C9kW5cuXUxASk9Pl/fff1+GDx/u1X0DAsnVV1/t+rlz587m89a6dWvTatSvXz+v7puTjRw5UlavXh3wtZO0EHlBw4YNJSQkpFI1vl5u2rSp1/YL1aN/EZ1yyimyYcMGb+8KjsL+LPE581/aRa3fl3zWvOfOO++UmTNnyty5cyUlJcV1vX6GtPwjKysrYD5fBCIv0GbG7t27m2Zh9yZJvdy7d2+v7huO7dChQ7Jx40YzlBu+q1WrVuaL2f1zlpOTY0ab8TnzD9u2bTM1RHzW6p9lWSYMffjhhzJnzhzzeXKnx7CwsDCPz5cOy9f6Sn/9fNFl5iU65H7YsGHSo0cPOeOMM+T55583wxlvuukmb+8aKrj33nvN3CnaTabDSnWqBG3hu+aaa7y9a46n4dS99UDru1asWGEKP7W4U+sennjiCTn55JPNF/pDDz1kiuN1ThX41uulp3/84x9mLhsNsvpHx/333y9t2rQxUyWg/rvJ3n33Xfn444/NXER2XZAOTNA5vfRcSwb0WKavXXx8vIwaNcqEoV69eolf8vYwNyd76aWXrLS0NCs8PNwMw//xxx+9vUuowpAhQ6xmzZqZ16lFixbm8oYNG7y9W7Asa+7cuWaYb8WTDt+2h94/9NBDVpMmTcxw+379+lnr1q3z9m471tFer9zcXGvAgAFWo0aNzHDu9PR0a8SIEdauXbu8vduOJFW8TnqaPHmya5u8vDzrjjvusBo0aGBFR0dbgwYNsnbu3Gn5qyD9x9uhDAAAwJuoIQIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIAIAAI5HIALgKLpQaFBQUKU1mGrbueeea2bKdtJjBvwZgQiATx7E6+rxnHnmmbJz506z9EAgCrTXEKgvBCIANaKT2xcXF4s/L66sa2VpiwkA2AhEAIwbb7xR5s+fLy+88IIJC3ravHmzq7vliy++MCtcR0REyPfff28W37z88sulSZMmEhsbK6effrp88803HvfZsmVLefLJJ+Xmm282C0Tqgquvvfaa6/bCwkKzorauZh4ZGWkW0B03bpzr9gkTJkjnzp0lJiZGUlNT5Y477jALhLr74YcfTKtIdHS0NGjQwCwEmpmZeczH49599MEHH0jHjh3NY9N9fvbZZ2v0OKqjoKDALBTcokUL83h69uxp9sU2ZcoUSUxMlK+++krat29vntMLL7zQtGbZNIjeddddZrvk5GR54IEHzCLR9mK1R3rMtqVLl5oFpfW50pYyXZ0cQDlvL6YGwDdkZWVZvXv3Ngtq6gKNeiouLnYtyNmlSxfr66+/Ngvb7t+/31qxYoU1adIka9WqVdZvv/1mPfjgg1ZkZKS1ZcsW133qAp1JSUnWK6+8Yq1fv94aN26cFRwcbP3666/m9meeecZKTU21vv32W2vz5s3Wd999Z7377ruu///cc89Zc+bMsTZt2mTNnj3batu2rXX77be7bl++fLlZtFWv0/1ZvXq1WTR57969x3w8mZmZ5j6WLFli9umxxx4zC7/q4pVRUVEei1ge63FU5ZxzzrH++te/ui7fcsst1plnnmkeqz6H+th13/W5U/r7dFHT/v37W4sXL7aWLl1qtW/f3ho6dKjrPp544gmzHzNmzLDWrl1r3XbbbVZ8fLx1+eWXV+s17NmzpzVv3jxrzZo1Vt++fc3+AChDIAJwxIO4sg+mH3300TH/f8eOHU0gcQ8S1113neuyrj7fuHFj69VXXzWXR40aZZ1//vnm+uqYPn26lZyc7Lp8zTXXWH369Dmux2MHIg0cF1xwgcc29913n9WhQ4dqP45j/W4NiSEhIdb27ds9tunXr581duxYVyDS/dKwZNMA1qRJE9dl/VmDlE3DTlpamisQHesxf/PNN67rPvvsM3OdrlgOwLLoMgNQLdrV4k67rrQLSLt3tAtHu3jWrl0rGRkZHtt16dLF9bN24Wj9zp49e1xdPCtWrJC2bduarqCvv/7a4/9qF1y/fv1MN5N2VV1//fWyf/9+yc3NNbfr/9XbT4Tuc58+fTyu08vr16+XkpKSaj2OY1m1apW5r1NOOcU8T/ZJu7e069GmXVmtW7d2XdauRPt3ZGdny+7du+WMM85w3R4SEmK6MavL/THofavqPgYg0IV6ewcA+Aete3GnYWjWrFnyz3/+U9q0aSNRUVFy1VVXmbogd2FhYR6XNUyUlpaan7t16yabNm0y9Ukafv7yl79I//795b///a+pfbn00kvl9ttvl//93/+VpKQkU7s0fPhw8zs0POjvrC9HexzHouFRw4vW8Oi5Ow1GR/sd2pJfW9zv3y4qr+5jAAIdLUQAPEZgubeKHI0WM2sLz6BBg0zhs7aYuBfwVld8fLwMGTJE/v3vf8u0adNMgfOBAwdMeNCDtRY49+rVy7Su7Nixo1KLx+zZs0/o8WgLlz6Wio9Nf1/F8HK8TjvtNLMf2hqj4dH9pM9bdeg0AVrAvnjxYtd1ep/Lli077tcQwB9oIQLgMZpq0aJFJthoy4W2yhzJySefLDNmzJDLLrvMtDY89NBDNW5t0FFk2nWjgSE4OFimT59uAoJ2wWlYKCoqkpdeesn8Dg0pkyZN8vj/Y8eONWFMR5/ddtttJgzMnTtX/vznP0vDhg2r9XjuueceM0Lu8ccfN8Fs4cKF8vLLL8vEiROltmi4uvbaa+WGG24wAU8f7969e02Y01B3ySWXVOt+Ro0aZUbh6XPTrl0789zoiDr3KQRq8hoC+AMtRAA8usG0VaRDhw7SqFGjSvVAFcOMDnPX4dsaWHS4u3aB1YTWBY0fP97UJ2ko0YP4559/bsJR165dze94+umnpVOnTvLOO+94DMm3g4bWHf3888+mtqZ3797y8ccfS2hoaLUfj+7z+++/L1OnTjW/5+GHH5bHHnvMtH7VpsmTJ5tApAFMa6Z0qLy29ugQ/urSYfbXXHONuR99rBp49HnXKQuO5zUE8Icgrax2uwwA8BPaIqddflp7pS1cAI4fXWYA4Ce2bNliWsTOOeccM9Gjdu1pUfrQoUO9vWuA36PLDAD8hHYl6ozW2r2oUwPocH4dnaetRABODF1mAADA8WghAgAAjkcgAgAAjkcgAgAAjkcgAgAAjkcgAgAAjkcgAgAAjkcgAgAAjkcgAgAAjkcgAgAA4nT/H0HFSRJc8LSlAAAAAElFTkSuQmCC"
      },
      "metadata": {},
      "output_type": "display_data"
diff --git a/chapter6.ipynb b/chapter6.ipynb
index a1bf5ca..0300204 100644
--- a/chapter6.ipynb
+++ b/chapter6.ipynb
@@ -43,8 +43,8 @@
     "id": "Di-DNu0Gf-ny",
     "outputId": "89d9393f-9651-4bfb-910d-5f25ae229272",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:51:20.143743Z",
-     "start_time": "2025-06-16T14:51:20.013946Z"
+     "end_time": "2025-06-17T05:18:38.771953Z",
+     "start_time": "2025-06-17T05:18:38.653460Z"
     }
    },
    "id": "Di-DNu0Gf-ny",
@@ -81,8 +81,8 @@
     "id": "utJfyW0XgIhy",
     "outputId": "fcdaca6c-a92e-4043-b53b-4848081c43a1",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:51:20.377110Z",
-     "start_time": "2025-06-16T14:51:20.243960Z"
+     "end_time": "2025-06-17T05:18:39.017918Z",
+     "start_time": "2025-06-17T05:18:38.885269Z"
     }
    },
    "id": "utJfyW0XgIhy",
@@ -173,8 +173,8 @@
     "id": "TLsza0Fvgrv6",
     "outputId": "6b350f59-8970-47a3-bfac-7f6af2ce20eb",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:51:29.030914Z",
-     "start_time": "2025-06-16T14:51:20.386867Z"
+     "end_time": "2025-06-17T05:18:47.384633Z",
+     "start_time": "2025-06-17T05:18:39.027842Z"
     }
    },
    "id": "TLsza0Fvgrv6",
@@ -185,9 +185,9 @@
      "text": [
       "periodic-frequent patterns were generated successfully using PFPGrowth++ algorithm \n",
       "Patterns: 4843\n",
-      "Runtime: 5.56698203086853\n",
-      "Memory (RSS): 491651072\n",
-      "Memory (USS): 468582400\n"
+      "Runtime: 5.410772323608398\n",
+      "Memory (RSS): 492896256\n",
+      "Memory (USS): 468074496\n"
      ]
     }
    ],
@@ -277,8 +277,8 @@
     "id": "oUZCISNwhkf6",
     "outputId": "43c56eaa-9e72-4f41-f2f0-f5a46db292eb",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:51:41.654171Z",
-     "start_time": "2025-06-16T14:51:29.047277Z"
+     "end_time": "2025-06-17T05:18:59.839801Z",
+     "start_time": "2025-06-17T05:18:47.407023Z"
     }
    },
    "id": "oUZCISNwhkf6",
@@ -289,9 +289,9 @@
      "text": [
       "Closed periodic frequent patterns were generated successfully using CPFPMiner algorithm \n",
       "Patterns: 4834\n",
-      "Runtime: 10.01036787033081\n",
-      "Memory (RSS): 47202304\n",
-      "Memory (USS): 23642112\n"
+      "Runtime: 9.972478866577148\n",
+      "Memory (RSS): 118013952\n",
+      "Memory (USS): 94355456\n"
      ]
     }
    ],
@@ -373,8 +373,8 @@
     "id": "qcjrSnWei9db",
     "outputId": "5c58da11-a792-4022-ec87-c486344fcd77",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:51:46.665374Z",
-     "start_time": "2025-06-16T14:51:41.704465Z"
+     "end_time": "2025-06-17T05:19:04.812877Z",
+     "start_time": "2025-06-17T05:18:59.851523Z"
     }
    },
    "id": "qcjrSnWei9db",
@@ -385,9 +385,9 @@
      "text": [
       "Maximal Periodic Frequent patterns were generated successfully using MAX-PFPGrowth algorithm \n",
       "Patterns: 920\n",
-      "Runtime: 4.661019325256348\n",
-      "Memory (RSS): 489816064\n",
-      "Memory (USS): 464044032\n"
+      "Runtime: 4.585969924926758\n",
+      "Memory (RSS): 466141184\n",
+      "Memory (USS): 442597376\n"
      ]
     }
    ],
@@ -469,8 +469,8 @@
     "id": "CLqU6MQ9kctQ",
     "outputId": "4fd9225b-adb7-4e1c-ec87-e27afeb5d23f",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:52:02.250353Z",
-     "start_time": "2025-06-16T14:51:46.682685Z"
+     "end_time": "2025-06-17T05:19:21.661330Z",
+     "start_time": "2025-06-17T05:19:04.822548Z"
     }
    },
    "id": "CLqU6MQ9kctQ",
@@ -481,9 +481,9 @@
      "text": [
       "kPFPMiner has successfully generated top-k frequent patterns\n",
       "#Patterns: 1000\n",
-      "Runtime: 15.444966793060303\n",
-      "Memory (RSS): 49463296\n",
-      "Memory (USS): 26165248\n"
+      "Runtime: 16.710266828536987\n",
+      "Memory (RSS): 50823168\n",
+      "Memory (USS): 27344896\n"
      ]
     }
    ],
@@ -578,8 +578,8 @@
     "id": "_HXCkE6-k9yQ",
     "outputId": "e7995e28-b377-4e41-8c6a-64d0cd2f1817",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:52:08.022897Z",
-     "start_time": "2025-06-16T14:52:02.269574Z"
+     "end_time": "2025-06-17T05:19:26.818213Z",
+     "start_time": "2025-06-17T05:19:21.684551Z"
     }
    },
    "id": "_HXCkE6-k9yQ",
@@ -590,9 +590,9 @@
      "text": [
       "Correlated Periodic-Frequent patterns were generated successfully using EPCPGrowth algorithm \n",
       "#Patterns: 679\n",
-      "Runtime: 5.4332358837127686\n",
-      "Memory (RSS): 490291200\n",
-      "Memory (USS): 466796544\n"
+      "Runtime: 4.8116350173950195\n",
+      "Memory (RSS): 496975872\n",
+      "Memory (USS): 470466560\n"
      ]
     }
    ],
@@ -688,8 +688,8 @@
     "id": "tMgYsYfZlrXY",
     "outputId": "19b62de6-ea4b-4e3f-d495-21209dd71565",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:53:06.078129Z",
-     "start_time": "2025-06-16T14:52:08.037271Z"
+     "end_time": "2025-06-17T05:20:29.470181Z",
+     "start_time": "2025-06-17T05:19:27.180600Z"
     }
    },
    "id": "tMgYsYfZlrXY",
@@ -699,9 +699,9 @@
      "output_type": "stream",
      "text": [
       "#Patterns: 27516\n",
-      "Runtime: 4.886078834533691\n",
-      "Memory (RSS): 543080448\n",
-      "Memory (USS): 518619136\n"
+      "Runtime: 5.4942357540130615\n",
+      "Memory (RSS): 461176832\n",
+      "Memory (USS): 437583872\n"
      ]
     }
    ],
@@ -791,8 +791,8 @@
     },
     "outputId": "27273581-d54a-41ef-b968-4f9ec1a6da9e",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:53:11.614091Z",
-     "start_time": "2025-06-16T14:53:06.097317Z"
+     "end_time": "2025-06-17T05:20:35.428751Z",
+     "start_time": "2025-06-17T05:20:29.523447Z"
     }
    },
    "id": "E7PnOPxA1ykm",
@@ -803,9 +803,9 @@
      "text": [
       "Partial Periodic Patterns were generated successfully using 3PGrowth algorithm \n",
       "#Patterns: 7672\n",
-      "Runtime: 5.45089316368103\n",
-      "Memory (RSS): 541261824\n",
-      "Memory (USS): 525631488\n"
+      "Runtime: 5.81328821182251\n",
+      "Memory (RSS): 431718400\n",
+      "Memory (USS): 421232640\n"
      ]
     }
    ],
@@ -894,8 +894,8 @@
     "id": "w9GqlJZY2xux",
     "outputId": "e854ee14-b03b-48af-8659-8412abe6ed51",
     "ExecuteTime": {
-     "end_time": "2025-06-16T14:53:15.331218Z",
-     "start_time": "2025-06-16T14:53:11.626922Z"
+     "end_time": "2025-06-17T05:20:38.910577Z",
+     "start_time": "2025-06-17T05:20:35.459165Z"
     }
    },
    "id": "w9GqlJZY2xux",
@@ -906,9 +906,9 @@
      "text": [
       "Recurring patterns were generated successfully using RPGrowth algorithm \n",
       "#Patterns: 307\n",
-      "Runtime: 3.5236830711364746\n",
-      "Memory (RSS): 402735104\n",
-      "Memory (USS): 391135232\n"
+      "Runtime: 3.258096218109131\n",
+      "Memory (RSS): 432472064\n",
+      "Memory (USS): 399654912\n"
      ]
     }
    ],
diff --git a/chapter7.ipynb b/chapter7.ipynb
index 0d3c7f3..05099d0 100644
--- a/chapter7.ipynb
+++ b/chapter7.ipynb
@@ -43,8 +43,8 @@
     "id": "initial_id",
     "outputId": "7f78f392-923b-4062-a250-c046c0b0e169",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:04:19.616378Z",
-     "start_time": "2025-06-16T15:04:19.484895Z"
+     "end_time": "2025-06-17T05:21:00.941115Z",
+     "start_time": "2025-06-17T05:21:00.812354Z"
     }
    },
    "source": [
@@ -83,8 +83,8 @@
     "id": "D8bz5U2SjAai",
     "outputId": "54200815-f0cc-4f19-c188-cb002df41e43",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:04:19.872013Z",
-     "start_time": "2025-06-16T15:04:19.742605Z"
+     "end_time": "2025-06-17T05:21:01.179034Z",
+     "start_time": "2025-06-17T05:21:01.049125Z"
     }
    },
    "id": "D8bz5U2SjAai",
@@ -185,8 +185,8 @@
     "id": "w-AgIvTGjbRW",
     "outputId": "7895fc3a-8a5f-482a-e0a5-8e60d3713080",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:04:36.531583Z",
-     "start_time": "2025-06-16T15:04:36.421833Z"
+     "end_time": "2025-06-17T05:21:01.606136Z",
+     "start_time": "2025-06-17T05:21:01.187190Z"
     }
    },
    "id": "w-AgIvTGjbRW",
@@ -195,16 +195,16 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 1000/1000 [00:00<00:00, 20188.61it/s]"
+      "100%|██████████| 1000/1000 [00:00<00:00, 18855.47it/s]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.08381485939025879\n",
-      "Memory (RSS): 63569920\n",
-      "Memory (USS): 40304640\n"
+      "Runtime: 0.07831621170043945\n",
+      "Memory (RSS): 111689728\n",
+      "Memory (USS): 88178688\n"
      ]
     },
     {
@@ -215,7 +215,7 @@
      ]
     }
    ],
-   "execution_count": 4
+   "execution_count": 3
   },
   {
    "cell_type": "code",
@@ -229,8 +229,8 @@
      "base_uri": "https://localhost:8080/"
     },
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:04:39.317272Z",
-     "start_time": "2025-06-16T15:04:39.186846Z"
+     "end_time": "2025-06-17T05:21:01.793143Z",
+     "start_time": "2025-06-17T05:21:01.669036Z"
     }
    },
    "id": "xQzwn3U95fw3",
@@ -239,20 +239,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "(2, 61)\t(99, 83)\t(77, 63)\t(31, 38)\t(21, 69)\t(43, 21)\t(41, 85)\t(58, 73)\t(35, 90)\t(69, 53)\t(34, 43)\t(62, 79)\r\n",
-      "(26, 27)\t(77, 46)\t(66, 32)\t(20, 1)\t(76, 32)\t(68, 11)\t(43, 79)\t(90, 72)\t(60, 67)\r\n",
-      "(37, 65)\t(96, 20)\t(84, 21)\t(77, 63)\t(2, 66)\t(67, 16)\t(44, 33)\t(75, 54)\t(95, 19)\r\n",
-      "(80, 20)\t(66, 32)\t(18, 74)\t(71, 87)\t(6, 21)\t(6, 61)\t(51, 63)\t(50, 70)\t(66, 49)\t(52, 42)\t(99, 96)\t(5, 29)\t(53, 37)\r\n",
-      "(82, 11)\t(38, 68)\t(54, 94)\t(31, 27)\t(92, 99)\t(83, 13)\t(74, 14)\t(24, 62)\t(22, 9)\t(77, 31)\t(72, 28)\t(9, 52)\t(99, 43)\r\n",
-      "(99, 91)\t(89, 19)\t(7, 44)\t(74, 12)\t(2, 67)\t(79, 67)\t(13, 24)\t(51, 95)\t(84, 37)\r\n",
-      "(60, 35)\t(5, 29)\t(24, 99)\t(80, 20)\t(6, 53)\t(80, 60)\t(3, 2)\t(14, 32)\t(97, 22)\r\n",
-      "(55, 39)\t(65, 71)\t(45, 39)\t(43, 64)\t(61, 59)\t(84, 10)\t(98, 26)\t(61, 9)\t(55, 51)\r\n",
-      "(52, 23)\t(88, 51)\t(35, 55)\t(68, 28)\t(71, 25)\t(68, 49)\t(62, 86)\t(34, 84)\t(73, 59)\r\n",
-      "(28, 30)\t(75, 54)\t(47, 31)\t(51, 80)\t(89, 26)\t(87, 50)\t(40, 68)\t(37, 67)\t(73, 59)\t(96, 29)\t(76, 32)\t(61, 74)\r\n"
+      "(53, 69)\t(68, 81)\t(32, 61)\t(37, 57)\t(49, 73)\t(95, 90)\t(1, 14)\t(70, 10)\t(83, 96)\r\n",
+      "(87, 46)\t(5, 48)\t(23, 79)\t(19, 0)\t(98, 6)\t(22, 47)\t(91, 0)\t(50, 72)\t(52, 94)\t(47, 0)\t(63, 99)\t(78, 13)\t(12, 29)\t(65, 91)\r\n",
+      "(86, 22)\t(40, 64)\t(73, 94)\t(94, 23)\t(23, 47)\t(44, 55)\t(11, 59)\t(34, 59)\t(11, 58)\r\n",
+      "(36, 68)\t(45, 87)\t(37, 31)\t(96, 52)\t(16, 91)\t(95, 20)\t(11, 41)\t(22, 86)\t(92, 2)\r\n",
+      "(98, 79)\t(55, 59)\t(46, 14)\t(86, 78)\t(35, 88)\t(26, 50)\t(85, 33)\t(11, 58)\t(94, 17)\t(83, 92)\t(17, 86)\t(22, 29)\t(97, 36)\r\n",
+      "(98, 39)\t(70, 33)\t(79, 28)\t(23, 11)\t(14, 12)\t(75, 15)\t(87, 71)\t(33, 59)\t(86, 90)\r\n",
+      "(56, 25)\t(71, 40)\t(34, 33)\t(64, 89)\t(8, 49)\t(57, 17)\t(36, 81)\t(52, 2)\t(45, 3)\r\n",
+      "(17, 21)\t(28, 93)\t(45, 97)\t(12, 38)\t(63, 67)\t(92, 82)\t(15, 5)\t(10, 65)\t(77, 85)\r\n",
+      "(43, 45)\t(56, 67)\t(1, 42)\t(39, 61)\t(79, 88)\t(61, 16)\t(24, 94)\t(56, 55)\t(60, 52)\r\n",
+      "(44, 30)\t(37, 75)\t(67, 3)\t(73, 94)\t(21, 75)\t(81, 28)\t(49, 55)\t(71, 52)\t(14, 57)\r\n"
      ]
     }
    ],
-   "execution_count": 5
+   "execution_count": 4
   },
   {
    "cell_type": "markdown",
@@ -342,8 +342,8 @@
     "id": "4c1G8w0ekkb6",
     "outputId": "363a8c0c-7d76-450d-f2e9-f34f48a68b0e",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:04:52.360990Z",
-     "start_time": "2025-06-16T15:04:52.245096Z"
+     "end_time": "2025-06-17T05:21:01.937423Z",
+     "start_time": "2025-06-17T05:21:01.805447Z"
     }
    },
    "id": "4c1G8w0ekkb6",
@@ -352,16 +352,16 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 1000/1000 [00:00<00:00, 17311.45it/s]"
+      "100%|██████████| 1000/1000 [00:00<00:00, 14735.52it/s]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.08243322372436523\n",
-      "Memory (RSS): 54444032\n",
-      "Memory (USS): 30539776\n"
+      "Runtime: 0.11117792129516602\n",
+      "Memory (RSS): 79020032\n",
+      "Memory (USS): 55148544\n"
      ]
     },
     {
@@ -372,7 +372,7 @@
      ]
     }
    ],
-   "execution_count": 8
+   "execution_count": 5
   },
   {
    "cell_type": "code",
@@ -386,8 +386,8 @@
      "base_uri": "https://localhost:8080/"
     },
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:04:53.767410Z",
-     "start_time": "2025-06-16T15:04:53.638336Z"
+     "end_time": "2025-06-17T05:21:02.078671Z",
+     "start_time": "2025-06-17T05:21:01.958273Z"
     }
    },
    "id": "XBwg9Dws6BYJ",
@@ -396,20 +396,20 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "1\t(88, 51)\t(54, 23)\t(94, 76)\t(86, 16)\t(4, 49)\t(18, 28)\t(83, 42)\t(10, 43)\t(80, 43)\r\n",
-      "2\t(25, 9)\t(23, 43)\t(86, 44)\t(28, 6)\t(69, 70)\t(62, 86)\t(26, 92)\t(10, 80)\t(22, 47)\t(44, 26)\t(77, 53)\t(23, 57)\t(35, 89)\r\n",
-      "3\t(38, 29)\t(6, 63)\t(2, 52)\t(18, 69)\t(72, 46)\t(41, 11)\t(55, 6)\t(40, 68)\t(32, 20)\r\n",
-      "4\t(26, 69)\t(18, 96)\t(39, 79)\t(46, 8)\t(52, 76)\t(5, 54)\t(98, 64)\t(29, 3)\t(70, 11)\r\n",
-      "5\t(7, 32)\t(25, 31)\t(18, 83)\t(79, 44)\t(43, 19)\t(75, 70)\t(36, 78)\t(93, 50)\t(81, 47)\r\n",
-      "6\t(88, 51)\t(1, 16)\t(57, 9)\t(25, 77)\t(48, 27)\t(36, 23)\t(74, 85)\t(8, 81)\t(54, 97)\t(42, 86)\t(4, 73)\t(71, 18)\r\n",
-      "7\t(33, 42)\t(75, 67)\t(98, 19)\t(7, 69)\t(39, 19)\t(11, 94)\t(66, 79)\t(44, 0)\t(33, 3)\t(82, 44)\t(33, 66)\t(11, 78)\t(79, 94)\r\n",
-      "8\t(50, 17)\t(56, 52)\t(34, 72)\t(48, 27)\t(40, 52)\t(94, 45)\t(19, 55)\t(48, 55)\t(39, 29)\r\n",
-      "9\t(42, 86)\t(36, 40)\t(55, 6)\t(5, 86)\t(1, 89)\t(79, 94)\t(9, 81)\t(74, 44)\t(21, 25)\t(13, 54)\t(13, 55)\t(58, 25)\r\n",
-      "10\t(18, 8)\t(26, 66)\t(59, 13)\t(85, 73)\t(14, 82)\t(67, 22)\t(81, 72)\t(77, 80)\t(71, 62)\t(29, 54)\r\n"
+      "1\t(68, 22)\t(54, 74)\t(25, 14)\t(1, 54)\t(22, 28)\t(53, 2)\t(43, 26)\t(40, 59)\t(58, 34)\r\n",
+      "2\t(66, 82)\t(61, 32)\t(69, 67)\t(21, 2)\t(79, 11)\t(79, 95)\t(24, 3)\t(14, 64)\t(64, 5)\r\n",
+      "3\t(13, 66)\t(80, 48)\t(65, 25)\t(89, 60)\t(13, 95)\t(17, 75)\t(12, 19)\t(55, 40)\t(35, 45)\t(35, 12)\t(11, 99)\r\n",
+      "4\t(42, 1)\t(63, 91)\t(38, 92)\t(6, 58)\t(28, 6)\t(30, 76)\t(90, 98)\t(88, 65)\t(83, 90)\r\n",
+      "5\t(16, 40)\t(65, 77)\t(86, 20)\t(33, 11)\t(22, 48)\t(98, 97)\t(15, 25)\t(40, 59)\t(72, 4)\r\n",
+      "6\t(35, 57)\t(44, 98)\t(31, 30)\t(14, 64)\t(31, 19)\t(29, 48)\t(94, 20)\t(87, 14)\t(98, 87)\r\n",
+      "7\t(93, 5)\t(5, 50)\t(93, 36)\t(14, 58)\t(76, 32)\t(95, 56)\t(41, 91)\t(29, 98)\t(86, 83)\r\n",
+      "8\t(0, 24)\t(82, 61)\t(40, 20)\t(0, 64)\t(13, 66)\t(10, 11)\t(11, 99)\t(76, 93)\t(85, 42)\r\n",
+      "9\t(87, 49)\t(15, 34)\t(83, 20)\t(94, 71)\t(53, 39)\t(37, 10)\t(5, 51)\t(29, 6)\t(13, 54)\r\n",
+      "10\t(92, 25)\t(0, 33)\t(93, 58)\t(57, 85)\t(20, 53)\t(35, 45)\t(26, 9)\t(66, 9)\t(95, 27)\t(48, 93)\t(73, 63)\t(12, 56)\r\n"
      ]
     }
    ],
-   "execution_count": 9
+   "execution_count": 6
   },
   {
    "cell_type": "markdown",
@@ -461,12 +461,12 @@
     "from PAMI.extras.convert import DF2DB as alg\n",
     "import pandas as pd\n",
     "import numpy as np\n",
+    "\n",
     "#creating a 4 x 4 dataframe with random values\n",
     "data = np.random.randint(1, 100, size=(4, 4))\n",
     "dataFrame = pd.DataFrame(data,\n",
-    "columns=['POINT(0 0)', 'POINT(0 1)',\n",
-    "'POINT(0 2)', 'POINT(0 3)']\n",
-    ")\n",
+    "columns=['POINT(0 0)', 'POINT(0 1)', 'POINT(0 2)', 'POINT(0 3)'])\n",
+    "\n",
     "obj = alg.DF2DB(dataFrame)\n",
     "obj.convert2TransactionalDatabase(\n",
     "oFile='georeferencedTransactionalDatabase.txt',\n",
@@ -483,8 +483,8 @@
     "id": "kt1L-C0Umj3q",
     "outputId": "8886aab9-2d0e-44b0-e669-56f8d701ac42",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:04:55.125289Z",
-     "start_time": "2025-06-16T15:04:55.107309Z"
+     "end_time": "2025-06-17T05:21:02.099022Z",
+     "start_time": "2025-06-17T05:21:02.088847Z"
     }
    },
    "id": "kt1L-C0Umj3q",
@@ -493,13 +493,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.0020339488983154297\n",
-      "Memory (RSS): 66338816\n",
-      "Memory (USS): 43335680\n"
+      "Runtime: 0.001363992691040039\n",
+      "Memory (RSS): 78807040\n",
+      "Memory (USS): 54870016\n"
      ]
     }
    ],
-   "execution_count": 10
+   "execution_count": 7
   },
   {
    "cell_type": "markdown",
@@ -559,14 +559,11 @@
     "data = np.random.randint(1, 100, size=(5, 4))\n",
     "dataFrame = pd.DataFrame(data,\n",
     "             columns=['POINT(0 0)', 'POINT(0 1)',\n",
-    "             'POINT(0 2)', 'POINT(0 3)']\n",
-    "            )\n",
+    "             'POINT(0 2)', 'POINT(0 3)'])\n",
     "# Adding a timestamp column with specific values\n",
     "timestamps = [1, 3, 3, 5, 8]\n",
     "dataFrame.insert(0, 'timestamp', timestamps)\n",
-    "\n",
-    "#converting the database into a transactional database by\n",
-    "#considering values greater than or equal to 36\n",
+    "#converting the database into a transactional database\n",
     "obj = alg.DF2DB(dataFrame)\n",
     "obj.convert2TemporalDatabase(\n",
     "        oFile='georeferencedTemporalDatabase.txt',\n",
@@ -583,8 +580,8 @@
     "id": "xDASdnHEpxtV",
     "outputId": "94102901-326b-4c2d-83ee-94c93a148810",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:04:56.795199Z",
-     "start_time": "2025-06-16T15:04:56.785866Z"
+     "end_time": "2025-06-17T05:21:02.135317Z",
+     "start_time": "2025-06-17T05:21:02.117032Z"
     }
    },
    "id": "xDASdnHEpxtV",
@@ -593,13 +590,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.0028388500213623047\n",
-      "Memory (RSS): 68141056\n",
-      "Memory (USS): 45006848\n"
+      "Runtime: 0.003206014633178711\n",
+      "Memory (RSS): 78495744\n",
+      "Memory (USS): 54558720\n"
      ]
     }
    ],
-   "execution_count": 11
+   "execution_count": 8
   },
   {
    "cell_type": "markdown",
@@ -661,8 +658,8 @@
     "id": "tfe5hD25q7VG",
     "outputId": "44ceb0ff-e743-4165-db56-26f3661ec3ec",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:04:58.549497Z",
-     "start_time": "2025-06-16T15:04:57.710904Z"
+     "end_time": "2025-06-17T05:21:02.982208Z",
+     "start_time": "2025-06-17T05:21:02.151884Z"
     }
    },
    "id": "tfe5hD25q7VG",
@@ -673,12 +670,12 @@
      "text": [
       "Database size (total no of transactions) : 4\n",
       "Number of items : 4\n",
-      "Minimum Transaction Size : 1\n",
-      "Average Transaction Size : 2.75\n",
+      "Minimum Transaction Size : 2\n",
+      "Average Transaction Size : 3.0\n",
       "Maximum Transaction Size : 4\n",
-      "Standard Deviation Transaction Size : 1.299038105676658\n",
-      "Variance in Transaction Sizes : 2.25\n",
-      "Sparsity : 0.3125\n"
+      "Standard Deviation Transaction Size : 1.0\n",
+      "Variance in Transaction Sizes : 1.3333333333333333\n",
+      "Sparsity : 0.25\n"
      ]
     },
     {
@@ -686,7 +683,7 @@
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ],
-      "image/png": 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"
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"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -696,13 +693,13 @@
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ],
-      "image/png": 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"
+      "image/png": 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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "execution_count": 12
+   "execution_count": 9
   },
   {
    "cell_type": "markdown",
@@ -732,8 +729,8 @@
      "height": 1000
     },
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:04:58.656871Z",
-     "start_time": "2025-06-16T15:04:58.558778Z"
+     "end_time": "2025-06-17T05:21:03.086830Z",
+     "start_time": "2025-06-17T05:21:02.991603Z"
     }
    },
    "id": "AjR7CDylrb2q",
@@ -744,18 +741,18 @@
      "text": [
       "Database size : 5\n",
       "Number of items : 4\n",
-      "Minimum Transaction Size : 2\n",
-      "Average Transaction Size : 2.8\n",
-      "Maximum Transaction Size : 4\n",
+      "Minimum Transaction Size : 1\n",
+      "Average Transaction Size : 2.6\n",
+      "Maximum Transaction Size : 3\n",
       "Minimum Inter Arrival Period : 1\n",
       "Average Inter Arrival Period : 1.0\n",
       "Maximum Inter Arrival Period : 1\n",
-      "Minimum periodicity : 1\n",
+      "Minimum periodicity : 2\n",
       "Average periodicity : 2.5\n",
-      "Maximum periodicicty : 4\n",
-      "Standard Deviation Transaction Size : 0.7483314773547883\n",
-      "Variance : 0.7\n",
-      "Sparsity : 0.3\n"
+      "Maximum periodicicty : 3\n",
+      "Standard Deviation Transaction Size : 0.8\n",
+      "Variance : 0.8\n",
+      "Sparsity : 0.35\n"
      ]
     },
     {
@@ -763,7 +760,7 @@
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ],
-      "image/png": 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"
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"
      },
      "metadata": {},
      "output_type": "display_data"
@@ -773,34 +770,26 @@
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ],
-      "image/png": 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"
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"
      },
      "metadata": {},
      "output_type": "display_data"
     }
    ],
-   "execution_count": 13
+   "execution_count": 10
   },
   {
    "metadata": {
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:04:58.681391Z",
-     "start_time": "2025-06-16T15:04:58.678171Z"
+     "end_time": "2025-06-17T05:21:03.104292Z",
+     "start_time": "2025-06-17T05:21:03.102647Z"
     }
    },
    "cell_type": "code",
    "source": "",
-   "id": "cdac453f741a5df5",
+   "id": "418bdb65ea022d21",
    "outputs": [],
    "execution_count": null
-  },
-  {
-   "metadata": {},
-   "cell_type": "code",
-   "outputs": [],
-   "execution_count": null,
-   "source": "",
-   "id": "418bdb65ea022d21"
   }
  ],
  "metadata": {
diff --git a/chapter8.ipynb b/chapter8.ipynb
index 4bdbe2e..17844f3 100644
--- a/chapter8.ipynb
+++ b/chapter8.ipynb
@@ -42,8 +42,8 @@
     "id": "initial_id",
     "outputId": "59ba03ef-a326-4057-84b8-196025594a5d",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:19:51.517968Z",
-     "start_time": "2025-06-16T15:19:51.394941Z"
+     "end_time": "2025-06-17T05:34:36.394565Z",
+     "start_time": "2025-06-17T05:34:36.250653Z"
     }
    },
    "source": [
@@ -58,7 +58,7 @@
      ]
     }
    ],
-   "execution_count": 1
+   "execution_count": 7
   },
   {
    "cell_type": "markdown",
@@ -80,8 +80,8 @@
     },
     "outputId": "cb2fb0f4-e8ea-4c8e-8482-0fc619c18ce1",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:19:51.736794Z",
-     "start_time": "2025-06-16T15:19:51.612632Z"
+     "end_time": "2025-06-17T05:34:36.560087Z",
+     "start_time": "2025-06-17T05:34:36.426102Z"
     }
    },
    "id": "G2bQKEXvGPAe",
@@ -95,7 +95,7 @@
      ]
     }
    ],
-   "execution_count": 2
+   "execution_count": 8
   },
   {
    "cell_type": "markdown",
@@ -119,8 +119,8 @@
     "id": "ST1Bs7c7GRz2",
     "outputId": "9522cc19-7730-441a-dc61-facf0f8f766f",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:19:51.865508Z",
-     "start_time": "2025-06-16T15:19:51.745126Z"
+     "end_time": "2025-06-17T05:34:36.694994Z",
+     "start_time": "2025-06-17T05:34:36.570706Z"
     }
    },
    "id": "ST1Bs7c7GRz2",
@@ -134,7 +134,7 @@
      ]
     }
    ],
-   "execution_count": 3
+   "execution_count": 9
   },
   {
    "cell_type": "markdown",
@@ -206,8 +206,8 @@
    "metadata": {
     "id": "6gT5ievFG3oz",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:19:52.809310Z",
-     "start_time": "2025-06-16T15:19:51.872845Z"
+     "end_time": "2025-06-17T05:34:37.459084Z",
+     "start_time": "2025-06-17T05:34:36.704949Z"
     }
    },
    "id": "6gT5ievFG3oz",
@@ -224,16 +224,16 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "100%|██████████| 833/833 [00:00<00:00, 3748.29it/s]"
+      "100%|██████████| 833/833 [00:00<00:00, 3714.42it/s]"
      ]
     },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.47449612617492676\n",
-      "Memory (RSS): 149635072\n",
-      "Memory (USS): 90767360\n"
+      "Runtime: 0.4708900451660156\n",
+      "Memory (RSS): 119291904\n",
+      "Memory (USS): 71335936\n"
      ]
     },
     {
@@ -244,7 +244,7 @@
      ]
     }
    ],
-   "execution_count": 4
+   "execution_count": 10
   },
   {
    "cell_type": "markdown",
@@ -320,8 +320,8 @@
    "metadata": {
     "id": "YNd27OpuPs-q",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:20:36.414979Z",
-     "start_time": "2025-06-16T15:19:52.830367Z"
+     "end_time": "2025-06-17T05:35:18.148444Z",
+     "start_time": "2025-06-17T05:34:37.466984Z"
     }
    },
    "id": "YNd27OpuPs-q",
@@ -333,13 +333,13 @@
       "100000 833\n",
       "Frequent Spatial Patterns successfully generated using FSPGrowth\n",
       "#Patterns: 0\n",
-      "Runtime: 43.544142961502075\n",
-      "Memory (RSS): 223264768\n",
-      "Memory (USS): 200818688\n"
+      "Runtime: 40.669837951660156\n",
+      "Memory (RSS): 220200960\n",
+      "Memory (USS): 202260480\n"
      ]
     }
    ],
-   "execution_count": 5
+   "execution_count": 11
   },
   {
    "cell_type": "markdown",
@@ -413,8 +413,8 @@
    "metadata": {
     "id": "LzaXuBeqQTWp",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:21:00.539625Z",
-     "start_time": "2025-06-16T15:21:00.040139Z"
+     "end_time": "2025-06-17T05:35:18.663420Z",
+     "start_time": "2025-06-17T05:35:18.157895Z"
     }
    },
    "id": "LzaXuBeqQTWp",
@@ -438,23 +438,27 @@
       "213   (40 3)\\t     1516     483\n",
       "\n",
       "[214 rows x 3 columns]\n",
-      "Runtime: 0.43216419219970703\n",
-      "Memory (RSS): 182779904\n",
-      "Memory (USS): 173785088\n"
+      "Runtime: 0.4651808738708496\n",
+      "Memory (RSS): 239321088\n",
+      "Memory (USS): 229081088\n"
      ]
     }
    ],
-   "execution_count": 7
+   "execution_count": 12
   },
   {
    "cell_type": "code",
    "source": [],
    "metadata": {
-    "id": "SR0NqevZQS8S"
+    "id": "SR0NqevZQS8S",
+    "ExecuteTime": {
+     "end_time": "2025-06-17T05:35:18.675924Z",
+     "start_time": "2025-06-17T05:35:18.673445Z"
+    }
    },
    "id": "SR0NqevZQS8S",
-   "execution_count": null,
-   "outputs": []
+   "outputs": [],
+   "execution_count": null
   }
  ],
  "metadata": {
diff --git a/chapter9.ipynb b/chapter9.ipynb
index 84b0f26..b0951b4 100644
--- a/chapter9.ipynb
+++ b/chapter9.ipynb
@@ -42,8 +42,8 @@
     "id": "initial_id",
     "outputId": "00f97314-9f95-4b06-82b2-e24e237299d8",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:21:06.682022Z",
-     "start_time": "2025-06-16T15:21:06.556434Z"
+     "end_time": "2025-06-17T05:35:24.990720Z",
+     "start_time": "2025-06-17T05:35:24.867856Z"
     }
    },
    "source": [
@@ -82,8 +82,8 @@
     "id": "4qZMLku4sRtj",
     "outputId": "82cb25d6-9899-4ce6-d4cc-a41c8ee6fbc5",
     "ExecuteTime": {
-     "end_time": "2025-06-16T15:21:08.572861Z",
-     "start_time": "2025-06-16T15:21:06.808779Z"
+     "end_time": "2025-06-17T05:35:27.888238Z",
+     "start_time": "2025-06-17T05:35:25.105172Z"
     }
    },
    "id": "4qZMLku4sRtj",
@@ -92,16 +92,16 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "--2025-06-17 00:21:06--  https://web-ext.u-aizu.ac.jp/~udayrage/datasets/utilityDatabases/Utility_T10I4D100K.csv\r\n",
+      "--2025-06-17 14:35:25--  https://web-ext.u-aizu.ac.jp/~udayrage/datasets/utilityDatabases/Utility_T10I4D100K.csv\r\n",
       "Resolving web-ext.u-aizu.ac.jp (web-ext.u-aizu.ac.jp)... 163.143.103.34\r\n",
       "Connecting to web-ext.u-aizu.ac.jp (web-ext.u-aizu.ac.jp)|163.143.103.34|:443... connected.\r\n",
       "HTTP request sent, awaiting response... 200 OK\r\n",
       "Length: 7356594 (7.0M) [text/csv]\r\n",
       "Saving to: ‘Utility_T10I4D100K.csv’\r\n",
       "\r\n",
-      "Utility_T10I4D100K. 100%[===================>]   7.02M  8.01MB/s    in 0.9s    \r\n",
+      "Utility_T10I4D100K. 100%[===================>]   7.02M  6.35MB/s    in 1.1s    \r\n",
       "\r\n",
-      "2025-06-17 00:21:08 (8.01 MB/s) - ‘Utility_T10I4D100K.csv’ saved [7356594/7356594]\r\n",
+      "2025-06-17 14:35:27 (6.35 MB/s) - ‘Utility_T10I4D100K.csv’ saved [7356594/7356594]\r\n",
       "\r\n"
      ]
     }
@@ -199,8 +199,8 @@
     "id": "joKbxtWPqDPy",
     "outputId": "4161a5a0-238a-4d95-81a2-f3815fa6e31c",
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:00:02.042818Z",
-     "start_time": "2025-06-16T22:59:44.131429Z"
+     "end_time": "2025-06-17T05:35:37.238350Z",
+     "start_time": "2025-06-17T05:35:27.904547Z"
     }
    },
    "id": "joKbxtWPqDPy",
@@ -210,23 +210,23 @@
      "output_type": "stream",
      "text": [
       "       Entry ID                                            Entries    Sum\n",
-      "0             1  [99, 80, 10, 91, 60, 5, 88, 44, 73, 52, 4, 43,...  50738\n",
-      "1             2  [91, 61, 33, 50, 45, 66, 36, 46, 28, 68, 63, 3...  51336\n",
-      "2             3  [97, 21, 31, 85, 95, 71, 100, 76, 66, 48, 74, ...  51364\n",
-      "3             4  [63, 39, 67, 4, 59, 20, 43, 17, 41, 15, 59, 39...  51086\n",
-      "4             5  [43, 63, 98, 21, 22, 79, 64, 46, 8, 100, 13, 7...  47936\n",
+      "0             1  [22, 24, 95, 51, 20, 88, 50, 16, 39, 25, 5, 65...  52050\n",
+      "1             2  [55, 5, 20, 21, 65, 57, 65, 75, 99, 34, 30, 66...  50054\n",
+      "2             3  [11, 9, 93, 40, 10, 68, 30, 44, 49, 21, 90, 93...  48971\n",
+      "3             4  [86, 98, 9, 91, 72, 54, 68, 6, 82, 86, 7, 71, ...  49364\n",
+      "4             5  [84, 90, 17, 91, 86, 42, 82, 63, 85, 81, 34, 5...  51523\n",
       "...         ...                                                ...    ...\n",
-      "99995     99996  [9, 75, 37, 66, 76, 93, 34, 67, 29, 97, 36, 38...  50285\n",
-      "99996     99997  [2, 47, 17, 95, 11, 65, 27, 51, 7, 27, 17, 49,...  49214\n",
-      "99997     99998  [50, 51, 79, 64, 52, 12, 33, 47, 57, 39, 5, 10...  52103\n",
-      "99998     99999  [12, 26, 81, 67, 95, 13, 21, 51, 82, 87, 32, 1...  48782\n",
-      "99999    100000  [74, 84, 45, 48, 47, 44, 2, 48, 24, 44, 30, 26...  51056\n",
+      "99995     99996  [5, 18, 49, 18, 72, 51, 37, 84, 36, 24, 74, 25...  50941\n",
+      "99996     99997  [34, 37, 59, 68, 81, 99, 45, 24, 39, 67, 47, 2...  50459\n",
+      "99997     99998  [11, 64, 17, 5, 49, 73, 78, 51, 18, 66, 87, 8,...  48687\n",
+      "99998     99999  [89, 43, 36, 89, 80, 47, 96, 2, 54, 10, 55, 88...  50924\n",
+      "99999    100000  [64, 82, 36, 83, 32, 96, 42, 26, 85, 32, 56, 2...  51493\n",
       "\n",
       "[100000 rows x 3 columns]\n"
      ]
     }
    ],
-   "execution_count": 9
+   "execution_count": 3
   },
   {
    "cell_type": "markdown",
@@ -307,8 +307,8 @@
     "id": "FqIH2nwsrGxf",
     "outputId": "e2115c73-dd24-46bf-cb50-d8608e41cdfd",
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:00:10.020021Z",
-     "start_time": "2025-06-16T23:00:09.988022Z"
+     "end_time": "2025-06-17T05:35:37.318629Z",
+     "start_time": "2025-06-17T05:35:37.303961Z"
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    },
    "id": "FqIH2nwsrGxf",
@@ -317,13 +317,13 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Runtime: 0.0031690597534179688\n",
-      "Memory (RSS): 70926336\n",
-      "Memory (USS): 60030976\n"
+      "Runtime: 0.0024650096893310547\n",
+      "Memory (RSS): 683769856\n",
+      "Memory (USS): 650313728\n"
      ]
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-   "execution_count": 10
+   "execution_count": 4
   },
   {
    "cell_type": "code",
@@ -337,8 +337,8 @@
     "id": "LKx1JIDlrXYc",
     "outputId": "ca79db38-9f14-4713-b38c-2380cd773ca8",
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:00:14.180764Z",
-     "start_time": "2025-06-16T23:00:14.044481Z"
+     "end_time": "2025-06-17T05:35:37.468833Z",
+     "start_time": "2025-06-17T05:35:37.333099Z"
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    "id": "LKx1JIDlrXYc",
@@ -347,14 +347,14 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Item1\tItem2\tItem3\tItem4:184:24\t80\t35\t45\r\n",
-      "Item1\tItem2\tItem3\tItem4:222:93\t35\t41\t53\r\n",
-      "Item1\tItem2\tItem3\tItem4:305:58\t98\t57\t92\r\n",
-      "Item1\tItem2\tItem3\tItem4:198:45\t56\t27\t70\r\n"
+      "Item1\tItem2\tItem3\tItem4:128:18\t4\t13\t93\r\n",
+      "Item1\tItem2\tItem3\tItem4:230:40\t63\t41\t86\r\n",
+      "Item1\tItem2\tItem3\tItem4:190:90\t8\t56\t36\r\n",
+      "Item1\tItem2\tItem3\tItem4:145:50\t30\t28\t37\r\n"
      ]
     }
    ],
-   "execution_count": 11
+   "execution_count": 5
   },
   {
    "cell_type": "markdown",
@@ -426,8 +426,8 @@
     "id": "Wih1Y59lrZmb",
     "outputId": "3df06ed3-ae47-412a-96bd-2b82cfac6828",
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:00:26.164903Z",
-     "start_time": "2025-06-16T23:00:24.501041Z"
+     "end_time": "2025-06-17T05:35:39.037654Z",
+     "start_time": "2025-06-17T05:35:37.482186Z"
     }
    },
    "id": "Wih1Y59lrZmb",
@@ -470,29 +470,20 @@
      "output_type": "display_data"
     }
    ],
-   "execution_count": 12
+   "execution_count": 6
   },
   {
-   "cell_type": "code",
-   "source": [],
    "metadata": {
-    "id": "tCcLgcXy6qns",
     "ExecuteTime": {
-     "end_time": "2025-06-16T23:00:26.182196Z",
-     "start_time": "2025-06-16T23:00:26.180232Z"
+     "end_time": "2025-06-17T05:35:39.057335Z",
+     "start_time": "2025-06-17T05:35:39.055251Z"
     }
    },
-   "id": "tCcLgcXy6qns",
-   "outputs": [],
-   "execution_count": null
-  },
-  {
-   "metadata": {},
    "cell_type": "code",
-   "outputs": [],
-   "execution_count": null,
    "source": "",
-   "id": "d53eb98b98067798"
+   "id": "d53eb98b98067798",
+   "outputs": [],
+   "execution_count": null
   }
  ],
  "metadata": {