diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 00000000..007b67b1 Binary files /dev/null and b/.DS_Store differ diff --git a/.gitignore b/.gitignore new file mode 100644 index 00000000..afed0735 --- /dev/null +++ b/.gitignore @@ -0,0 +1 @@ +*.csv diff --git a/Labs/.DS_Store b/Labs/.DS_Store new file mode 100644 index 00000000..b6430a22 Binary files /dev/null and b/Labs/.DS_Store differ diff --git a/Labs/Lab.2/.DS_Store b/Labs/Lab.2/.DS_Store new file mode 100644 index 00000000..5008ddfc Binary files /dev/null and b/Labs/Lab.2/.DS_Store differ diff --git a/Labs/Lab.2/Lab.2.ipynb b/Labs/Lab.2/Lab.2.ipynb index f0b38e38..fb55044d 100644 --- a/Labs/Lab.2/Lab.2.ipynb +++ b/Labs/Lab.2/Lab.2.ipynb @@ -84,20 +84,41 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 83, "metadata": {}, "outputs": [], "source": [ - "# Write your solution here" + "# Write your solution here\n", + "def make_board(n):\n", + " empty = 0\n", + " X = 1\n", + " O = 2\n", + " board = list()\n", + " for i in range(n):\n", + " row = list()\n", + " for j in range(n):\n", + " row.append(1)\n", + " board.append(row)\n", + " return board" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[1, 1, 1], [1, 1, 1], [1, 1, 1]]\n" + ] + } + ], "source": [ - "# Test your solution here" + "# Test your solution here\n", + "board = make_board(3)\n", + "print(board)" ] }, { @@ -107,7 +128,96 @@ "outputs": [], "source": [ "# (Optional) Ask an LLM for 3 different solutions here\n", - "# Then compare them to your own." + "#Solution 1\n", + "def make_board_1(n):\n", + " board = []\n", + " for i in range(n):\n", + " row = []\n", + " for j in range(n):\n", + " row.append(0)\n", + " board.append(row)\n", + " return board\n", + "\n", + "#solution 2\n", + "def make_board_2(n):\n", + " return [[0 for _ in range(n)] for _ in range(n)]\n", + "\n", + "#solution 3\n", + "def make_board_3(n):\n", + " board = []\n", + " for _ in range(n):\n", + " board.append([0] * n)\n", + " return board" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

For Solution 1

\n", + "\n", + "

Same:

\n", + "\n", + "Both use nested loops\n", + "\n", + "Both construct the board row by row\n", + "\n", + "Both use append() to add values\n", + "\n", + "Both return an n × n list of lists\n", + "\n", + "Both are easy to understand and beginner-friendly\n", + "\n", + "\n", + "

Different:

\n", + "\n", + "Your solution defines empty, X, and O, while Solution 1 directly uses 0\n", + "\n", + "Your solution documents the meaning of values more clearly\n", + "\n", + "Solution 1 is slightly shorter\n", + "\n", + "\n", + "

For Solution 2

\n", + "\n", + "

Same:

\n", + "\n", + "Both return an n × n Tic Tac Toe board\n", + "\n", + "Both use 0 to represent empty spaces\n", + "\n", + "Both solve the same problem correctly\n", + "\n", + "\n", + "

Different:

\n", + "\n", + "Your solution uses explicit loops, Solution 2 uses list comprehension\n", + "\n", + "Your solution is more readable for beginners\n", + "\n", + "Solution 2 is more compact but less transparent\n", + "\n", + "Your solution clearly shows how the matrix is built step by step\n", + "\n", + "\n", + "

For Solution 3

\n", + "\n", + "

Same:

\n", + "\n", + "Both create each row separately\n", + "\n", + "Both store rows in a board list\n", + "\n", + "Both correctly initialize all cells as empty (0)\n", + "\n", + "\n", + "

Different:

\n", + "\n", + "Your solution fills rows using an inner loop, Solution 3 uses [0] * n\n", + "\n", + "Your approach is more detailed and instructional\n", + "\n", + "Solution 3 is more concise and slightly more efficient\n" ] }, { @@ -117,6 +227,19 @@ "**Question:** Which solution most closely matches your solution? What are the main differences?" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Solution 1 is the closest match because:

\n", + "\n", + "It follows the same structure\n", + "\n", + "Uses the same logic\n", + "\n", + "Builds the matrix step-by-step just like my implementation" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -138,20 +261,45 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 84, "metadata": {}, "outputs": [], "source": [ - "# Write your solution here" + "# Write your solution \n", + "def draw_board(r,c):\n", + " for i in range(r):\n", + " row = \"\"\n", + " empty = \" \"\n", + " print(\" --- \" *c)\n", + " for j in range(c):\n", + " row += \"| \" + empty + \" |\"\n", + " \n", + " print(row)\n", + " print(\" --- \" *c)" ] }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 86, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " --- --- --- \n", + "| || || |\n", + " --- --- --- \n", + "| || || |\n", + " --- --- --- \n", + "| || || |\n", + " --- --- --- \n" + ] + } + ], "source": [ - "# Test your solution here" + "# Test your solution \n", + "draw_board(3,3)" ] }, { @@ -163,20 +311,48 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 88, "metadata": {}, "outputs": [], "source": [ - "# Write your solution here" + "# Write your solution \n", + "def draw_board(board):\n", + " n = len(board)\n", + " m = len(board[0])\n", + " icons = {1:\"X\",2:\"O\",0:\" \"}\n", + " for i in range(n):\n", + " row = \"\"\n", + " print(\" --- \"*m)\n", + " for j in range(m):\n", + " row += (f\"| {icons[int(board[i][j])]} |\")\n", + " print(row)\n", + "\n", + " print(\" --- \"*m)" ] }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 89, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " --- --- --- \n", + "| X || X || X |\n", + " --- --- --- \n", + "| X || X || X |\n", + " --- --- --- \n", + "| X || X || X |\n", + " --- --- --- \n" + ] + } + ], "source": [ - "# Test your solution here" + "# Test your solution \n", + "b= make_board(3)\n", + "draw_board(b)" ] }, { @@ -193,27 +369,51 @@ "Here are some example inputs you can use to test your code:\n" ] }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "# Write your solution here" - ] - }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ - "# Test your solution here" + "# Write your solution \n", + "def check_play(board):\n", + " r = len(board)\n", + " c = len(board[0])\n", + "\n", + " for i in range(r):\n", + " if all(board[i][j] == 1 for j in range(c)):\n", + " return 1\n", + " elif all(board[i][j] == 2 for j in range(c)):\n", + " return 2\n", + " \n", + " for j in range(c):\n", + " if all(board[i][j] == 1 for i in range(r)):\n", + " return 1\n", + " elif all(board[i][j] == 2 for i in range(r)):\n", + " return 2\n", + " \n", + " \n", + " if all(board[i][i] == 1 for i in range(r)):\n", + " return 1\n", + " elif all(board[i][i] == 2 for i in range(r)):\n", + " return 2\n", + "\n", + " if all(board[i][r-1-i] == 1 for i in range(r)):\n", + " return 1\n", + " elif all(board[i][r-1-i] == 2 for i in range(r)):\n", + " return 2\n", + "\n", + "\n", + " for i in range(r):\n", + " if any(board[i][j] == 0 for j in range(c)):\n", + " return -1\n", + " \n", + " return 0" ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ @@ -235,7 +435,38 @@ "\n", "also_no_winner = [[1, 2, 0],\n", "\t[2, 1, 0],\n", - "\t[2, 1, 0]]" + "\t[2, 1, 0]]\n", + "\n", + "draw = [[1,2,1],\n", + " [2,2,1],\n", + " [1,1,2]]" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2\n", + "1\n", + "1\n", + "-1\n", + "-1\n", + "0\n" + ] + } + ], + "source": [ + "print(check_play(winner_is_2))\n", + "print(check_play(winner_is_1))\n", + "print(check_play(winner_is_also_1))\n", + "print(check_play(no_winner))\n", + "print(check_play(also_no_winner))\n", + "print(check_play(draw))" ] }, { @@ -252,20 +483,85 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 52, "metadata": {}, "outputs": [], "source": [ - "# Write your solution here" + "# Write your solution here\n", + "def player_move(board, player, x, y):\n", + " col = ord(x.upper()) - ord('A')\n", + " row = int(y) - 1\n", + "\n", + " if board[row][col] != 0:\n", + " return \"Invalid move!\"\n", + "\n", + " board[row][col] = player\n", + " return True" ] }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 59, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | X | | X |\n", + " --- --- --- \n", + "2 | | X | |\n", + " --- --- --- \n", + "3 | O | O | |\n", + " --- --- --- \n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Press 1 for X and 2 for O 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Enter co-ordinates to make the move\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the x co-ordinates: b\n", + "Enter the y co-ordinates: 1\n" + ] + }, + { + "data": { + "text/plain": [ + "True" + ] + }, + "execution_count": 59, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "# Test your solution here" + "# Test your solution here\n", + "b = [[1, 0, 1],\n", + "\t[0, 1, 0],\n", + "\t[2, 2, 0]]\n", + "draw_board(b)\n", + "a = input(\"Press 1 for X and 2 for O\")\n", + "print(\"Enter co-ordinates to make the move\")\n", + "x1 = input(\"Enter the x co-ordinates:\")\n", + "x2 = input(\"Enter the y co-ordinates:\")\n", + "player_move(b,a,x1,x2)" ] }, { @@ -277,20 +573,60 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 92, "metadata": {}, "outputs": [], "source": [ - "# Write your solution here" + "def draw_board(board):\n", + " n = len(board)\n", + " m = len(board[0])\n", + "\n", + " icons = {1: \"X\", 2: \"O\", 0: \" \"}\n", + "\n", + " header = \" \"\n", + " for j in range(m):\n", + " header += f\" {chr(65 + j)} \"\n", + " print(header)\n", + "\n", + " for i in range(n):\n", + " print(\" \" + \"--- \" * m)\n", + " row = f\"{i + 1} \"\n", + " for j in range(m):\n", + " row += f\"| {icons[int(board[i][j])]} \"\n", + " row += \"|\"\n", + " print(row)\n", + "\n", + " print(\" \" + \"--- \" * m)" ] }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 24, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | X | X | X |\n", + " --- --- --- \n", + "2 | O | X | O |\n", + " --- --- --- \n", + "3 | O | X | X |\n", + " --- --- --- \n", + "4 | X | O | |\n", + " --- --- --- \n" + ] + } + ], "source": [ - "# Test your solution here" + "# Test your solution \n", + "draw_board([[1, 1, 1],\n", + "\t[2, 1, 2],\n", + "\t[2, 1, 1],\n", + " [1,2,0]])" ] }, { @@ -302,7 +638,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 70, "metadata": { "ExecuteTime": { "end_time": "2026-01-26T21:09:58.171399Z", @@ -311,16 +647,39 @@ }, "outputs": [], "source": [ - "# Write your solution here" + "# Write your solution here\n", + "def move(board,player,a,b):\n", + " player_move(board,player,a,b)\n", + " draw_board(board)\n", + " " ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 71, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | X | X | X |\n", + " --- --- --- \n", + "2 | O | | O |\n", + " --- --- --- \n", + "3 | O | X | X |\n", + " --- --- --- \n" + ] + } + ], "source": [ - "# Test your solution here" + "# Test your solution here\n", + "board1=[[1, 0, 1],\n", + "\t[2, 0, 2],\n", + "\t[2, 1, 1]]\n", + "move(board1,1,'b',1)" ] }, { @@ -334,20 +693,90 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 72, "metadata": {}, "outputs": [], "source": [ - "# Write your solution here" + "# Write your solution here\n", + "def play_turn(board, player):\n", + " while True:\n", + " a = input(\"Enter the column letter: \")\n", + " b = input(\"Enter the row number: \")\n", + "\n", + " try:\n", + " if player_move(board, player, a, b) == True:\n", + " move(board, player, a, b)\n", + " break\n", + " else:\n", + " print(\"Invalid move! Try again.\")\n", + " except:\n", + " print(\"Invalid input! Try again.\")" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 73, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter (e.g., A, B, C): s\n", + "Enter the row number (e.g., 1, 2, 3): 9\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Invalid input! Please enter a valid letter and row number.\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter (e.g., A, B, C): a\n", + "Enter the row number (e.g., 1, 2, 3): 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Invalid move! That spot is already taken.\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter (e.g., A, B, C): b\n", + "Enter the row number (e.g., 1, 2, 3): 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | X | X | X |\n", + " --- --- --- \n", + "2 | O | | O |\n", + " --- --- --- \n", + "3 | O | X | X |\n", + " --- --- --- \n" + ] + } + ], "source": [ - "# Test your solution here" + "# Test your solution here\n", + "bord1=[[1, 0, 1],\n", + "\t[2, 0, 2],\n", + "\t[2, 1, 1]]\n", + "play_game(bord1,1)" ] }, { @@ -364,20 +793,258 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 90, "metadata": {}, "outputs": [], "source": [ - "# Write yourrr solution here" + "# Write yourrr solution here\n", + "def make_board(n,m):\n", + " empty = 0\n", + " X = 1\n", + " O = 2\n", + " board = list()\n", + " for i in range(n):\n", + " row = list()\n", + " for j in range(m):\n", + " row.append(0)\n", + " board.append(row)\n", + " return board\n", + " \n", + "def play_game():\n", + " n = int(input(\"Enter the number of rows on board\"))\n", + " m = int(input(\"Enter the number of columns on board: \"))\n", + " board = make_board(n, m)\n", + " current_player = 1\n", + " \n", + " draw_board(board)\n", + " \n", + " while check_play(board) == -1:\n", + " print(f\"Player {current_player}'s turn\")\n", + " play_turn(board,current_player)\n", + " \n", + " status = check_play(board)\n", + " \n", + " if status == 1 or status == 2:\n", + " print(f\"Player {status} wins!\")\n", + " return\n", + " elif status == 0:\n", + " print(\"It's a draw!\")\n", + " return\n", + " \n", + " if current_player == 1:\n", + " current_player = 2\n", + " else:\n", + " current_player = 1" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 93, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the number of rows on board 4\n", + "Enter the number of columns on board: 4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D \n", + " --- --- --- --- \n", + "1 | | | | |\n", + " --- --- --- --- \n", + "2 | | | | |\n", + " --- --- --- --- \n", + "3 | | | | |\n", + " --- --- --- --- \n", + "4 | | | | |\n", + " --- --- --- --- \n", + "Player 1's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: a\n", + "Enter the row number: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D \n", + " --- --- --- --- \n", + "1 | X | | | |\n", + " --- --- --- --- \n", + "2 | | | | |\n", + " --- --- --- --- \n", + "3 | | | | |\n", + " --- --- --- --- \n", + "4 | | | | |\n", + " --- --- --- --- \n", + "Player 2's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: b\n", + "Enter the row number: 4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D \n", + " --- --- --- --- \n", + "1 | X | | | |\n", + " --- --- --- --- \n", + "2 | | | | |\n", + " --- --- --- --- \n", + "3 | | | | |\n", + " --- --- --- --- \n", + "4 | | O | | |\n", + " --- --- --- --- \n", + "Player 1's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: b\n", + "Enter the row number: 2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D \n", + " --- --- --- --- \n", + "1 | X | | | |\n", + " --- --- --- --- \n", + "2 | | X | | |\n", + " --- --- --- --- \n", + "3 | | | | |\n", + " --- --- --- --- \n", + "4 | | O | | |\n", + " --- --- --- --- \n", + "Player 2's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: b\n", + "Enter the row number: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D \n", + " --- --- --- --- \n", + "1 | X | O | | |\n", + " --- --- --- --- \n", + "2 | | X | | |\n", + " --- --- --- --- \n", + "3 | | | | |\n", + " --- --- --- --- \n", + "4 | | O | | |\n", + " --- --- --- --- \n", + "Player 1's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: c\n", + "Enter the row number: 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D \n", + " --- --- --- --- \n", + "1 | X | O | | |\n", + " --- --- --- --- \n", + "2 | | X | | |\n", + " --- --- --- --- \n", + "3 | | | X | |\n", + " --- --- --- --- \n", + "4 | | O | | |\n", + " --- --- --- --- \n", + "Player 2's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: d\n", + "Enter the row number: 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D \n", + " --- --- --- --- \n", + "1 | X | O | | |\n", + " --- --- --- --- \n", + "2 | | X | | |\n", + " --- --- --- --- \n", + "3 | | | X | O |\n", + " --- --- --- --- \n", + "4 | | O | | |\n", + " --- --- --- --- \n", + "Player 1's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: d\n", + "Enter the row number: 4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D \n", + " --- --- --- --- \n", + "1 | X | O | | |\n", + " --- --- --- --- \n", + "2 | | X | | |\n", + " --- --- --- --- \n", + "3 | | | X | O |\n", + " --- --- --- --- \n", + "4 | | O | | X |\n", + " --- --- --- --- \n", + "Player 1 wins!\n" + ] + } + ], "source": [ - "# Test your solution here" + "play_game()" ] }, { @@ -389,11 +1056,283 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 94, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the number of rows on board 5\n", + "Enter the number of columns on board: 5\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D E \n", + " --- --- --- --- --- \n", + "1 | | | | | |\n", + " --- --- --- --- --- \n", + "2 | | | | | |\n", + " --- --- --- --- --- \n", + "3 | | | | | |\n", + " --- --- --- --- --- \n", + "4 | | | | | |\n", + " --- --- --- --- --- \n", + "5 | | | | | |\n", + " --- --- --- --- --- \n", + "Player 1's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: a\n", + "Enter the row number: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D E \n", + " --- --- --- --- --- \n", + "1 | X | | | | |\n", + " --- --- --- --- --- \n", + "2 | | | | | |\n", + " --- --- --- --- --- \n", + "3 | | | | | |\n", + " --- --- --- --- --- \n", + "4 | | | | | |\n", + " --- --- --- --- --- \n", + "5 | | | | | |\n", + " --- --- --- --- --- \n", + "Player 2's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: e\n", + "Enter the row number: 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D E \n", + " --- --- --- --- --- \n", + "1 | X | | | | |\n", + " --- --- --- --- --- \n", + "2 | | | | | |\n", + " --- --- --- --- --- \n", + "3 | | | | | O |\n", + " --- --- --- --- --- \n", + "4 | | | | | |\n", + " --- --- --- --- --- \n", + "5 | | | | | |\n", + " --- --- --- --- --- \n", + "Player 1's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: b\n", + "Enter the row number: 2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D E \n", + " --- --- --- --- --- \n", + "1 | X | | | | |\n", + " --- --- --- --- --- \n", + "2 | | X | | | |\n", + " --- --- --- --- --- \n", + "3 | | | | | O |\n", + " --- --- --- --- --- \n", + "4 | | | | | |\n", + " --- --- --- --- --- \n", + "5 | | | | | |\n", + " --- --- --- --- --- \n", + "Player 2's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: c\n", + "Enter the row number: 2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D E \n", + " --- --- --- --- --- \n", + "1 | X | | | | |\n", + " --- --- --- --- --- \n", + "2 | | X | O | | |\n", + " --- --- --- --- --- \n", + "3 | | | | | O |\n", + " --- --- --- --- --- \n", + "4 | | | | | |\n", + " --- --- --- --- --- \n", + "5 | | | | | |\n", + " --- --- --- --- --- \n", + "Player 1's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: c\n", + "Enter the row number: 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D E \n", + " --- --- --- --- --- \n", + "1 | X | | | | |\n", + " --- --- --- --- --- \n", + "2 | | X | O | | |\n", + " --- --- --- --- --- \n", + "3 | | | X | | O |\n", + " --- --- --- --- --- \n", + "4 | | | | | |\n", + " --- --- --- --- --- \n", + "5 | | | | | |\n", + " --- --- --- --- --- \n", + "Player 2's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: d\n", + "Enter the row number: 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D E \n", + " --- --- --- --- --- \n", + "1 | X | | | | |\n", + " --- --- --- --- --- \n", + "2 | | X | O | | |\n", + " --- --- --- --- --- \n", + "3 | | | X | O | O |\n", + " --- --- --- --- --- \n", + "4 | | | | | |\n", + " --- --- --- --- --- \n", + "5 | | | | | |\n", + " --- --- --- --- --- \n", + "Player 1's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: d\n", + "Enter the row number: 4\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D E \n", + " --- --- --- --- --- \n", + "1 | X | | | | |\n", + " --- --- --- --- --- \n", + "2 | | X | O | | |\n", + " --- --- --- --- --- \n", + "3 | | | X | O | O |\n", + " --- --- --- --- --- \n", + "4 | | | | X | |\n", + " --- --- --- --- --- \n", + "5 | | | | | |\n", + " --- --- --- --- --- \n", + "Player 2's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: e\n", + "Enter the row number: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D E \n", + " --- --- --- --- --- \n", + "1 | X | | | | O |\n", + " --- --- --- --- --- \n", + "2 | | X | O | | |\n", + " --- --- --- --- --- \n", + "3 | | | X | O | O |\n", + " --- --- --- --- --- \n", + "4 | | | | X | |\n", + " --- --- --- --- --- \n", + "5 | | | | | |\n", + " --- --- --- --- --- \n", + "Player 1's turn\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column letter: e\n", + "Enter the row number: 5\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C D E \n", + " --- --- --- --- --- \n", + "1 | X | | | | O |\n", + " --- --- --- --- --- \n", + "2 | | X | O | | |\n", + " --- --- --- --- --- \n", + "3 | | | X | O | O |\n", + " --- --- --- --- --- \n", + "4 | | | | X | |\n", + " --- --- --- --- --- \n", + "5 | | | | | X |\n", + " --- --- --- --- --- \n", + "Player 1 wins!\n" + ] + } + ], "source": [ - "# Test your solution here" + "# Test your solution here\n", + "play_game()" ] }, { @@ -409,20 +1348,274 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 95, "metadata": {}, "outputs": [], "source": [ - "# Write your solution here" + "# Write your solution here\n", + "import random\n", + "\n", + "def computer_move(board, computer, human):\n", + " r = len(board)\n", + " c = len(board[0])\n", + "\n", + " def try_move(player):\n", + " for i in range(r):\n", + " for j in range(c):\n", + " if board[i][j] == 0:\n", + " board[i][j] = player\n", + " if check_play(board) == player:\n", + " return (i, j)\n", + " board[i][j] = 0\n", + " return \n", + "\n", + " move = try_move(computer)\n", + " if move:\n", + " board[move[0]][move[1]] = computer\n", + " return\n", + " move = try_move(human)\n", + " if move:\n", + " board[move[0]][move[1]] = computer\n", + " return\n", + " empty = [(i, j) for i in range(r) for j in range(c) if board[i][j] == 0]\n", + " if empty:\n", + " i, j = random.choice(empty)\n", + " board[i][j] = computer" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 96, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the number of rows on board: 3\n", + "Enter the number of columns on board: 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | | | |\n", + " --- --- --- \n", + "2 | | | |\n", + " --- --- --- \n", + "3 | | | |\n", + " --- --- --- \n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Press 1 for 2-player game, 2 to play vs computer: 2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Enter coordinates to make the move\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column (A, B, C...): c\n", + "Enter the row (1, 2, 3...): 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | | | |\n", + " --- --- --- \n", + "2 | | | |\n", + " --- --- --- \n", + "3 | | | X |\n", + " --- --- --- \n", + "Computer is making a move...\n", + " A B C \n", + " --- --- --- \n", + "1 | O | | |\n", + " --- --- --- \n", + "2 | | | |\n", + " --- --- --- \n", + "3 | | | X |\n", + " --- --- --- \n", + "Enter coordinates to make the move\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column (A, B, C...): c\n", + "Enter the row (1, 2, 3...): 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | O | | X |\n", + " --- --- --- \n", + "2 | | | |\n", + " --- --- --- \n", + "3 | | | X |\n", + " --- --- --- \n", + "Computer is making a move...\n", + " A B C \n", + " --- --- --- \n", + "1 | O | | X |\n", + " --- --- --- \n", + "2 | | | O |\n", + " --- --- --- \n", + "3 | | | X |\n", + " --- --- --- \n", + "Enter coordinates to make the move\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column (A, B, C...): a\n", + "Enter the row (1, 2, 3...): 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | O | | X |\n", + " --- --- --- \n", + "2 | | | O |\n", + " --- --- --- \n", + "3 | X | | X |\n", + " --- --- --- \n", + "Computer is making a move...\n", + " A B C \n", + " --- --- --- \n", + "1 | O | | X |\n", + " --- --- --- \n", + "2 | | O | O |\n", + " --- --- --- \n", + "3 | X | | X |\n", + " --- --- --- \n", + "Enter coordinates to make the move\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column (A, B, C...): a\n", + "Enter the row (1, 2, 3...): 2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | O | | X |\n", + " --- --- --- \n", + "2 | X | O | O |\n", + " --- --- --- \n", + "3 | X | | X |\n", + " --- --- --- \n", + "Computer is making a move...\n", + " A B C \n", + " --- --- --- \n", + "1 | O | | X |\n", + " --- --- --- \n", + "2 | X | O | O |\n", + " --- --- --- \n", + "3 | X | O | X |\n", + " --- --- --- \n", + "Enter coordinates to make the move\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column (A, B, C...): b\n", + "Enter the row (1, 2, 3...): 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | O | X | X |\n", + " --- --- --- \n", + "2 | X | O | O |\n", + " --- --- --- \n", + "3 | X | O | X |\n", + " --- --- --- \n", + "Its a draw.\n" + ] + } + ], "source": [ - "# Test your solution here" + "# Test your solution here\n", + "x_size = int(input(\"Enter the number of rows on board: \"))\n", + "y_size = int(input(\"Enter the number of columns on board: \"))\n", + "\n", + "b = make_board(x_size, y_size)\n", + "draw_board(b)\n", + "\n", + "mode = int(input(\"Press 1 for 2-player game, 2 to play vs computer: \"))\n", + "player = 1\n", + "computer = 2 if mode == 2 else None\n", + "moves = -1\n", + "\n", + "while moves == -1:\n", + "\n", + " if mode == 2 and player == computer:\n", + " print(\"Computer is making a move...\")\n", + " computer_move(b, computer, 1)\n", + " else:\n", + " print(\"Enter coordinates to make the move\")\n", + " x1 = input(\"Enter the column (A, B, C...): \")\n", + " x2 = input(\"Enter the row (1, 2, 3...): \")\n", + "\n", + " result = player_move(b, player, x1, x2)\n", + " if result != True:\n", + " print(result)\n", + " continue\n", + "\n", + " draw_board(b)\n", + " moves = check_play(b)\n", + "\n", + " if moves == -1:\n", + " player = 2 if player == 1 else 1\n", + "\n", + "if moves == 1:\n", + " print(\"X won.\")\n", + "elif moves == 2:\n", + " print(\"O won.\")\n", + "else:\n", + " print(\"Its a draw.\")" ] }, { @@ -434,20 +1627,319 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 97, "metadata": {}, "outputs": [], "source": [ - "# Write your solution here" + "# Write your solution here\n", + "import random\n", + "\n", + "def minimax(board, depth, max_depth, player, smart, dumb):\n", + " result = check_play(board)\n", + "\n", + " if result == smart:\n", + " return 100 - depth\n", + " if result == dumb:\n", + " return depth - 100\n", + " if result == 0:\n", + " return 0\n", + "\n", + " if depth == max_depth:\n", + " return 0\n", + "\n", + " r = len(board)\n", + " c = len(board[0])\n", + "\n", + " if player == smart:\n", + " best = -float(\"inf\")\n", + "\n", + " for i in range(r):\n", + " for j in range(c):\n", + " if board[i][j] == 0:\n", + " board[i][j] = smart\n", + " score = minimax(board, depth + 1, max_depth,\n", + " dumb, smart, dumb)\n", + " board[i][j] = 0\n", + " best = max(best, score)\n", + "\n", + " return best\n", + "\n", + " else:\n", + " best = float(\"inf\")\n", + "\n", + " for i in range(r):\n", + " for j in range(c):\n", + " if board[i][j] == 0:\n", + " board[i][j] = dumb\n", + " score = minimax(board, depth + 1, max_depth,\n", + " smart, smart, dumb)\n", + " board[i][j] = 0\n", + " best = min(best, score)\n", + "\n", + " return best\n", + "\n", + "\n", + "def computer_move_exhaustive(board, player, opponent, depth):\n", + " r = len(board)\n", + " c = len(board[0])\n", + "\n", + " best_score = -float(\"inf\")\n", + " best_move = None\n", + "\n", + " for i in range(r):\n", + " for j in range(c):\n", + " if board[i][j] == 0:\n", + " board[i][j] = player\n", + " score = minimax(board, 0, depth,\n", + " opponent, player, opponent)\n", + " board[i][j] = 0\n", + "\n", + " if score > best_score:\n", + " best_score = score\n", + " best_move = (i, j)\n", + "\n", + " if best_move:\n", + " board[best_move[0]][best_move[1]] = player\n" ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 99, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the number of rows on board: 3\n", + "Enter the number of columns on board: 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | | | |\n", + " --- --- --- \n", + "2 | | | |\n", + " --- --- --- \n", + "3 | | | |\n", + " --- --- --- \n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Press 1 for 2-player game, 2 to play vs computer: 2\n", + "Enter search depth (recommended 3-5): 6\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Enter coordinates to make the move\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column (A, B, C...): c\n", + "Enter the row (1, 2, 3...): 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | | | |\n", + " --- --- --- \n", + "2 | | | |\n", + " --- --- --- \n", + "3 | | | X |\n", + " --- --- --- \n", + "Computer is making a move...\n", + " A B C \n", + " --- --- --- \n", + "1 | | | |\n", + " --- --- --- \n", + "2 | | O | |\n", + " --- --- --- \n", + "3 | | | X |\n", + " --- --- --- \n", + "Enter coordinates to make the move\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column (A, B, C...): a\n", + "Enter the row (1, 2, 3...): 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | X | | |\n", + " --- --- --- \n", + "2 | | O | |\n", + " --- --- --- \n", + "3 | | | X |\n", + " --- --- --- \n", + "Computer is making a move...\n", + " A B C \n", + " --- --- --- \n", + "1 | X | O | |\n", + " --- --- --- \n", + "2 | | O | |\n", + " --- --- --- \n", + "3 | | | X |\n", + " --- --- --- \n", + "Enter coordinates to make the move\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column (A, B, C...): b\n", + "Enter the row (1, 2, 3...): 3\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | X | O | |\n", + " --- --- --- \n", + "2 | | O | |\n", + " --- --- --- \n", + "3 | | X | X |\n", + " --- --- --- \n", + "Computer is making a move...\n", + " A B C \n", + " --- --- --- \n", + "1 | X | O | |\n", + " --- --- --- \n", + "2 | | O | |\n", + " --- --- --- \n", + "3 | O | X | X |\n", + " --- --- --- \n", + "Enter coordinates to make the move\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column (A, B, C...): c\n", + "Enter the row (1, 2, 3...): 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | X | O | X |\n", + " --- --- --- \n", + "2 | | O | |\n", + " --- --- --- \n", + "3 | O | X | X |\n", + " --- --- --- \n", + "Computer is making a move...\n", + " A B C \n", + " --- --- --- \n", + "1 | X | O | X |\n", + " --- --- --- \n", + "2 | | O | O |\n", + " --- --- --- \n", + "3 | O | X | X |\n", + " --- --- --- \n", + "Enter coordinates to make the move\n" + ] + }, + { + "name": "stdin", + "output_type": "stream", + "text": [ + "Enter the column (A, B, C...): a\n", + "Enter the row (1, 2, 3...): 2\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " A B C \n", + " --- --- --- \n", + "1 | X | O | X |\n", + " --- --- --- \n", + "2 | X | O | O |\n", + " --- --- --- \n", + "3 | O | X | X |\n", + " --- --- --- \n", + "Its a draw.\n" + ] + } + ], "source": [ - "# Test your solution here" + "# Test your solution \n", + "# Test your solution here\n", + "x_size = int(input(\"Enter the number of rows on board: \"))\n", + "y_size = int(input(\"Enter the number of columns on board: \"))\n", + "\n", + "b = make_board(x_size, y_size)\n", + "draw_board(b)\n", + "\n", + "mode = int(input(\"Press 1 for 2-player game, 2 to play vs computer: \"))\n", + "player = 1\n", + "computer = 2 if mode == 2 else None\n", + "if mode == 2:\n", + " max_depth = int(input(\"Enter search depth (recommended 3-5): \"))\n", + "\n", + "moves = -1\n", + "\n", + "while moves == -1:\n", + "\n", + " if mode == 2 and player == computer:\n", + " print(\"Computer is making a move...\")\n", + " computer_move_exhaustive(b, computer, 1, max_depth)\n", + " else:\n", + " print(\"Enter coordinates to make the move\")\n", + " x1 = input(\"Enter the column (A, B, C...): \")\n", + " x2 = input(\"Enter the row (1, 2, 3...): \")\n", + "\n", + " result = player_move(b, player, x1, x2)\n", + " if result != True:\n", + " print(result)\n", + " continue\n", + "\n", + " draw_board(b)\n", + " moves = check_play(b)\n", + "\n", + " if moves == -1:\n", + " player = 2 if player == 1 else 1\n", + "\n", + "if moves == 1:\n", + " print(\"X won.\")\n", + "elif moves == 2:\n", + " print(\"O won.\")\n", + "else:\n", + " print(\"Its a draw.\")" ] }, { @@ -459,20 +1951,67 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 103, "metadata": {}, "outputs": [], "source": [ - "# Write your solution here" + "# Write your solution \n", + "def play_ai_vs_ai(size, depth_smart, depth_dumb, games=10):\n", + " smart_wins = 0\n", + " draw= 0\n", + " for g in range(games):\n", + " board = make_board(size, size)\n", + "\n", + " smart = 1 if g % 2 == 0 else 2\n", + " dumb = 2 if smart == 1 else 1\n", + "\n", + " player = 1\n", + " result = -1\n", + "\n", + " while result == -1:\n", + " if player == smart:\n", + " computer_move_exhaustive(board, smart, dumb, depth_smart)\n", + " else:\n", + " computer_move_exhaustive(board, dumb, smart, depth_dumb)\n", + "\n", + " result = check_play(board)\n", + " player = 2 if player == 1 else 1\n", + "\n", + " if result == smart:\n", + " smart_wins += 1\n", + " elif result == 0:\n", + " draw += 1\n", + "\n", + " win_rate = smart_wins / games * 100\n", + " print(f\"{size}x{size} grid → Smart AI win rate: {win_rate:.1f}% with {draw} draws.\")\n" ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 104, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "AI vs AI experiment:\n", + "\n", + "3x3 grid → Smart AI win rate: 50.0% with 5 draws.\n", + "4x4 grid → Smart AI win rate: 0.0% with 10 draws.\n", + "5x5 grid → Smart AI win rate: 0.0% with 10 draws.\n" + ] + } + ], "source": [ - "# Test your solution here" + "# Test your solution here\n", + "# Test your solution here\n", + "print(\"\\nAI vs AI experiment:\\n\")\n", + "\n", + "play_ai_vs_ai(3, depth_smart=5, depth_dumb=2)\n", + "play_ai_vs_ai(4, depth_smart=4, depth_dumb=2)\n", + "play_ai_vs_ai(5, depth_smart=3, depth_dumb=1)" ] }, { @@ -510,7 +2049,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.7" + "version": "3.12.12" } }, "nbformat": 4, diff --git a/Labs/Lab.3/.DS_Store b/Labs/Lab.3/.DS_Store new file mode 100644 index 00000000..b64e8a66 Binary files /dev/null and b/Labs/Lab.3/.DS_Store differ diff --git a/Labs/Lab.3/Lab.3.ipynb b/Labs/Lab.3/Lab.3.ipynb index 3dc0438e..0154b718 100644 --- a/Labs/Lab.3/Lab.3.ipynb +++ b/Labs/Lab.3/Lab.3.ipynb @@ -207,9 +207,17 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The Value of x is 0.9036066841881488\n" + ] + } + ], "source": [ "import random\n", "x=random.random()\n", @@ -227,7 +235,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -235,18 +243,30 @@ "def generate_uniform(N,x_min,x_max):\n", " out = []\n", " ### BEGIN SOLUTION\n", - "\n", - " # Fill in your solution here \n", - " \n", + " for _ in range(N):\n", + " d = random.random()\n", + " out.append(int(x_min + d * (x_max - x_min)))\n", " ### END SOLUTION\n", " return out" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data Type: \n", + "Data Length: 1000\n", + "Type of Data Contents: \n", + "Data Minimum: -9\n", + "Data Maximum: 9\n" + ] + } + ], "source": [ "# Test your solution here\n", "data=generate_uniform(1000,-10,10)\n", @@ -268,7 +288,7 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -276,10 +296,10 @@ "def mean(Data):\n", " m=0.\n", " \n", - " ### BEGIN SOLUTION\n", - "\n", - " # Fill in your solution here \n", - " \n", + " ### BEGIN SOLUTION \n", + " n = len(Data)\n", + " Summation = sum(Data)\n", + " m = Summation/n\n", " ### END SOLUTION\n", " \n", " return m" @@ -287,11 +307,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean of Data: 9.0\n" + ] + } + ], "source": [ "# Test your solution here\n", + "data = [8,10]\n", "print (\"Mean of Data:\", mean(data))" ] }, @@ -305,7 +334,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -314,9 +343,14 @@ " m=0.\n", " \n", " ### BEGIN SOLUTION\n", - "\n", - " # Fill in your solution here \n", - " \n", + " n = len(Data)\n", + " x_bar = mean(Data)\n", + " summation = 0\n", + " for i in range(n):\n", + " difference_sq = (Data[i] - x_bar) * (Data[i] - x_bar)\n", + " summation += difference_sq\n", + " \n", + " m = (1/(n-1)) * summation\n", " ### END SOLUTION\n", " \n", " return m" @@ -324,11 +358,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Variance of Data: 542.1944444444445\n" + ] + } + ], "source": [ "# Test your solution here\n", + "data = [12,19,45,68,90,42,47,50,48]\n", "print (\"Variance of Data:\", variance(data))" ] }, @@ -358,16 +401,24 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "# Solution\n", "def histogram(x,n_bins=10,x_min=None,x_max=None):\n", " ### BEGIN SOLUTION\n", - "\n", - " # Fill in your solution here \n", - " \n", + " x_min, x_max = min(x), max(x)\n", + " bin_size = (x_max - x_min) / n_bins\n", + " hist = [0] * n_bins\n", + " bin_edges = [x_min + i * bin_size for i in range(n_bins + 1)]\n", + " for value in x:\n", + " for i in range(n_bins):\n", + " lower_bound = bin_edges[i]\n", + " upper_bound = bin_edges[i+1]\n", + " if lower_bound <= value <= upper_bound:\n", + " hist[i] += 1\n", + " break\n", " ### END SOLUTION\n", "\n", " return hist,bin_edges" @@ -375,13 +426,24 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[3, 2, 2]\n", + "[1.0, 4.666666666666666, 8.333333333333332, 12.0]\n" + ] + } + ], "source": [ "# Test your solution here\n", - "h,b=histogram(data,100)\n", - "print(h)" + "data = [1, 2, 2, 5, 8, 10, 12]\n", + "h,b=histogram(data,3)\n", + "print(h)\n", + "print(b)" ] }, { @@ -407,29 +469,59 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ - "# Solution\n", - "def draw_histogram(x,n_bins,x_min=None,x_max=None,character=\"#\",max_character_per_line=20):\n", + "def draw_histogram(x, n_bins, x_min=None, x_max=None, character=\"#\", max_character_per_line=20):\n", " ### BEGIN SOLUTION\n", - "\n", - " # Fill in your solution here \n", + " hist, bin_edges = histogram(x, n_bins)\n", + " max_h = max(hist)\n", " \n", + " for i in range(len(hist)):\n", + " if max_h > 0:\n", + " num_chars = int((hist[i] / max_h) * max_character_per_line)\n", + " else:\n", + " num_chars = 0\n", + " \n", + " bar = character * num_chars\n", + " lower = bin_edges[i]\n", + " upper = bin_edges[i+1]\n", + " print(f\"[{lower:>3.0f}, {upper:>3.0f}] : {bar}\")\n", " ### END SOLUTION\n", "\n", - " return hist,bin_edges" + " return hist, bin_edges" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ 0, 1] : ######\n", + "[ 1, 2] : ######\n", + "[ 2, 3] : #############\n", + "[ 3, 4] : ####################\n", + "[ 4, 4] : #############\n", + "[ 4, 5] : ####################\n", + "[ 5, 6] : #############\n", + "[ 6, 7] : ####################\n", + "[ 7, 8] : #############\n", + "[ 8, 9] : ####################\n" + ] + } + ], "source": [ "# Test your solution here\n", - "h,b=histogram(data,20)" + "# Create simple data from 0 to 10 to match your image\n", + "data = [0, 1, 2, 2, 3, 3, 3, 4, 4, 5, 5, 5, 6, 6, 7, 7, 7, 8, 8, 9, 9, 9]\n", + "\n", + "# This line will now print the graph to the screen\n", + "h, b = draw_histogram(data, n_bins=10)" ] }, { @@ -443,29 +535,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ - "def where(mylist,myfunc):\n", - " out= []\n", - " \n", - " ### BEGIN SOLUTION\n", + "def where(mylist, myfunc):\n", + " out = []\n", "\n", - " # Fill in your solution here \n", - " \n", + " ### BEGIN SOLUTION\n", + " for i in range(len(mylist)):\n", + " if myfunc(mylist[i]):\n", + " out.append(i)\n", " ### END SOLUTION\n", - " \n", + "\n", " return out" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 28, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1, 3]\n" + ] + } + ], "source": [ - "# Test your solution here" + "# Test your solution here\n", + "data = [0.1, 0.6, 0.3, 0.8, 0.2]\n", + "indices = where(data, lambda x: x > 0.5)\n", + "print(indices)" ] }, { @@ -483,9 +586,20 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True True False False False\n", + "False False True True False\n", + "Number of Entries passing F1: 5\n", + "Number of Entries passing F2: 0\n" + ] + } + ], "source": [ "def in_range(mymin,mymax):\n", " def testrange(x):\n", @@ -493,8 +607,8 @@ " return testrange\n", "\n", "# Examples:\n", - "F1=inrange(0,10)\n", - "F2=inrange(10,20)\n", + "F1=in_range(0,10)\n", + "F2=in_range(10,20)\n", "\n", "# Test of in_range\n", "print (F1(0), F1(1), F1(10), F1(15), F1(20))\n", @@ -506,24 +620,63 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "### BEGIN SOLUTION\n", - "\n", - " # Fill in your solution here \n", - " \n", + "def is_even(x):\n", + " return x % 2 == 0\n", + "\n", + "def is_odd(x):\n", + " return x % 2 != 0\n", + "\n", + "def greater_than(val):\n", + " def tester(x):\n", + " return x > val\n", + " return tester\n", + "\n", + "def less_than(val):\n", + " def tester(x):\n", + " return x < val\n", + " return tester\n", + "\n", + "def equal(val):\n", + " def tester(x):\n", + " return x == val\n", + " return tester\n", + "\n", + "def divisible_by(val):\n", + " def tester(x):\n", + " return x % val == 0\n", + " return tester \n", "### END SOLUTION" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 17, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Even indices: [1, 3, 5, 6]\n", + "Greater than 5 indices: [5, 6, 7]\n", + "Divisible by 3 indices: [2, 5, 7]\n" + ] + } + ], "source": [ - "# Test your solution" + "# Test your solution\n", + "data = [1, 2, 3, 4, 5, 6, 10, 15]\n", + "\n", + "print(\"Even indices:\", where(data, is_even))\n", + "\n", + "print(\"Greater than 5 indices:\", where(data, greater_than(5)))\n", + "\n", + "print(\"Divisible by 3 indices:\", where(data, divisible_by(3)))" ] }, { @@ -535,14 +688,30 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Even: 4\n", + "Odd: 4\n", + "Greater than: 8\n", + "Less than: 0\n", + "Equal: 0\n", + "Divisible by: 3\n" + ] + } + ], "source": [ "### BEGIN SOLUTION\n", - "\n", - " # Fill in your solution here \n", - " \n", + "print(\"Even:\", sum(map(lambda x: x % 2 == 0, data)))\n", + "print(\"Odd:\", sum(map(lambda x: x % 2 != 0, data)))\n", + "print(\"Greater than:\", sum(map(lambda x: x > 0.5, data)))\n", + "print(\"Less than:\", sum(map(lambda x: x < 0.5, data)))\n", + "print(\"Equal:\", sum(map(lambda x: x == 0, data)))\n", + "print(\"Divisible by:\", sum(map(lambda x: x % 3 == 0, data)))\n", "### END SOLUTION" ] }, @@ -561,30 +730,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 19, "metadata": {}, "outputs": [], "source": [ "def generate_function(func,x_min,x_max,N=1000):\n", " out = list()\n", " ### BEGIN SOLUTION\n", + " import random\n", "\n", - " # Fill in your solution here \n", + " y_max = 0\n", + " steps = 1000\n", + " step_size = (x_max - x_min) / steps\n", " \n", + " for i in range(steps):\n", + " val = func(x_min + i * step_size)\n", + " if val > y_max:\n", + " y_max = val\n", + " \n", + " while len(out) < N:\n", + " test_x = random.uniform(x_min, x_max)\n", + " p = random.uniform(0, y_max)\n", + " \n", + " if p <= func(test_x):\n", + " out.append(test_x)\n", " ### END SOLUTION\n", - " \n", " return out" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ -5, -5] : ####################\n", + "[ -5, -4] : ##################\n", + "[ -4, -4] : ################\n", + "[ -4, -3] : ##############\n", + "[ -3, -3] : ##########\n", + "[ -3, -3] : #########\n", + "[ -3, -2] : #######\n", + "[ -2, -2] : ####\n", + "[ -2, -1] : ##\n", + "[ -1, -1] : #\n", + "[ -1, -1] : #\n", + "[ -1, -0] : ##\n", + "[ -0, 0] : #####\n", + "[ 0, 1] : #######\n", + "[ 1, 1] : #########\n", + "[ 1, 1] : ###########\n", + "[ 1, 2] : ##############\n", + "[ 2, 2] : ###############\n", + "[ 2, 3] : #################\n", + "[ 3, 3] : ##################\n", + "([950, 863, 792, 686, 521, 432, 354, 219, 142, 54, 54, 137, 262, 362, 442, 565, 695, 741, 835, 894], [-4.999913621869641, -4.599928144478, -4.199942667086358, -3.7999571896947164, -3.3999717123030746, -2.999986234911433, -2.6000007575197914, -2.2000152801281496, -1.8000298027365078, -1.400044325344866, -1.0000588479532242, -0.6000733705615824, -0.20008789316994147, 0.19989758422170034, 0.5998830616133422, 0.999868539004984, 1.3998540163966258, 1.7998394937882676, 2.1998249711799094, 2.599810448571551, 2.999795925963193])\n" + ] + } + ], "source": [ "# A test function\n", "def test_func(x,a=1,b=1):\n", - " return abs(a*x+b)" + " return abs(a*x+b)\n", + "data = generate_function(test_func, x_min=-5, x_max=3, N=10000)\n", + "print(draw_histogram(data, n_bins=20))" ] }, { @@ -596,9 +808,38 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Mean: -0.0052738494072836215\n", + "Variance: 0.9638367958021714\n", + "[ -4, -3] : \n", + "[ -3, -3] : \n", + "[ -3, -3] : \n", + "[ -3, -2] : \n", + "[ -2, -2] : ##\n", + "[ -2, -1] : ###\n", + "[ -1, -1] : #########\n", + "[ -1, -1] : #############\n", + "[ -1, -0] : ################\n", + "[ -0, 0] : ####################\n", + "[ 0, 0] : ###############\n", + "[ 0, 1] : ###############\n", + "[ 1, 1] : ###########\n", + "[ 1, 2] : ######\n", + "[ 2, 2] : ###\n", + "[ 2, 2] : ##\n", + "[ 2, 3] : \n", + "[ 3, 3] : \n", + "[ 3, 3] : \n", + "[ 3, 4] : \n" + ] + } + ], "source": [ "import math\n", "\n", @@ -607,6 +848,17 @@ " return math.exp(-((x-mean)**2)/(2*sigma**2))/math.sqrt(math.pi*sigma)\n", " return f\n", "\n", + "g1 = gaussian(0, 1)\n", + "data = generate_function(g1, -5, 5, N=1000)\n", + "\n", + "calc_mean = sum(data) / len(data)\n", + "calc_var = sum([(x - calc_mean)**2 for x in data]) / len(data)\n", + "\n", + "print(f\"Mean: {calc_mean}\")\n", + "print(f\"Variance: {calc_var}\")\n", + "\n", + "draw_histogram(data, n_bins=20)\n", + "\n", "# Example Instantiation\n", "g1=gaussian(0,1)\n", "g2=gaussian(10,3)" @@ -621,19 +873,42 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ "def integrate(func, x_min, x_max, n_points=1000):\n", - " \n", + " ### BEGIN SOLUTION\n", + " all_data = generate_function(func, x_min - 5, x_max + 5, N=n_points)\n", + " checker = in_range(x_min, x_max)\n", + " valid_indices = where(all_data, checker)\n", + " integral = len(valid_indices) / n_points\n", + " ### END SOLUTION\n", " return integral" ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.6908\n" + ] + } + ], + "source": [ + "g1 = gaussian(0, 1)\n", + "print(integrate(g1, -1, 1, n_points=5000))" + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "ds", "language": "python", "name": "python3" }, @@ -647,7 +922,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.7" + "version": "3.11.14" } }, "nbformat": 4, diff --git a/Labs/Lab.4/.ipynb_checkpoints/Lab.4-checkpoint.ipynb b/Labs/Lab.4/.ipynb_checkpoints/Lab.4-checkpoint.ipynb new file mode 100644 index 00000000..2b630cf9 --- /dev/null +++ b/Labs/Lab.4/.ipynb_checkpoints/Lab.4-checkpoint.ipynb @@ -0,0 +1,397 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Lab 4- Object Oriented Programming\n", + "\n", + "For all of the exercises below, make sure you provide tests of your solutions.\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "1. Write a \"counter\" class that can be incremented up to a specified maximum value, will print an error if an attempt is made to increment beyond that value, and allows reseting the counter. " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error: Attempted to increment beyond maximum value.\n", + "Error: Attempted to increment beyond maximum value.\n" + ] + } + ], + "source": [ + "class SimpleCounter:\n", + " def __init__(self, max_value):\n", + " self.count = 0\n", + " self.max_value = max_value\n", + "\n", + " def increment(self):\n", + " if self.count >= self.max_value:\n", + " print(\"Error: Attempted to increment beyond maximum value.\")\n", + " else:\n", + " self.count += 1\n", + "\n", + " def reset(self):\n", + " self.count = 0\n", + "\n", + "# --- Test ---\n", + "c1 = SimpleCounter(2)\n", + "c1.increment()\n", + "c1.increment()\n", + "c1.increment() # This will print the error\n", + "c1.reset()\n", + "c1.increment() \n", + "c1.increment()\n", + "c1.increment() # This will print the error again" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "2. Copy and paste your solution to question 1 and modify it so that all the data held by the counter is private. Implement functions to check the value of the counter, check the maximum value, and check if the counter is at the maximum." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Value: 2, Is Max?: False\n" + ] + } + ], + "source": [ + "class Counter:\n", + " def __init__(self, max_value):\n", + " self.__count = 0 \n", + " self.__max_value = max_value\n", + "\n", + " def increment(self):\n", + " if self.__count >= self.__max_value:\n", + " print(\"Error: Attempted to increment beyond maximum value.\")\n", + " else:\n", + " self.__count += 1\n", + "\n", + " def reset(self):\n", + " self.__count = 0\n", + "\n", + " def get_value(self):\n", + " return self.__count\n", + "\n", + " def get_max(self):\n", + " return self.__max_value\n", + "\n", + " def is_at_max(self):\n", + " return self.__count == self.__max_value\n", + "\n", + "c2 = Counter(3)\n", + "c2.increment()\n", + "c2.increment()\n", + "print(f\"Value: {c2.get_value()}, Is Max?: {c2.is_at_max()}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "3. Implement a class to represent a rectangle, holding the length, width, and $x$ and $y$ coordinates of a corner of the object. Implement functions that compute the area and perimeter of the rectangle. Make all data members private and privide accessors to retrieve values of data members. " + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Area: 8, Perimeter: 12.\n" + ] + } + ], + "source": [ + "class Rectangle:\n", + " def __init__(self, length, width, x, y):\n", + " self.__length = length\n", + " self.__width = width\n", + " self.__x = x\n", + " self.__y = y\n", + "\n", + " def get_length(self): return self.__length\n", + " def get_width(self): return self.__width\n", + " def get_x(self): return self.__x\n", + " def get_y(self): return self.__y\n", + "\n", + " def area(self):\n", + " return self.__length * self.__width\n", + " \n", + " def perimeter(self):\n", + " return 2 * (self.__length + self.__width)\n", + " \n", + "# Test\n", + "rect = Rectangle(4, 2, 0, 0)\n", + "print(f\"Area: {rect.area()}, Perimeter: {rect.perimeter()}.\")\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "4. Implement a class to represent a circle, holding the radius and $x$ and $y$ coordinates of center of the object. Implement functions that compute the area and perimeter of the rectangle. Make all data members private and privide accessors to retrieve values of data members. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "5. Implement a common base class for the classes implemented in 3 and 4 above which implements all common methods as not implemented functions (virtual). Re-implement your regtangle and circule classes to inherit from the base class and overload the functions accordingly. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "6. Implement a triangle class analogous to the rectangle and circle in question 5." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "7. Add a function to the object classes, including the base, that returns a list of up to 16 pairs of $x$ and $y$ points on the parameter of the object. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "8. Add a function to the object classes, including the base, that tests if a given set of $x$ and $y$ coordinates are inside of the object. You'll have to think through how to determine if a set of coordinates are inside an object for each object type." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "9. Add a function in the base class of the object classes that returns true/false testing that the object overlaps with another object." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "10. Copy the `Canvas` class from lecture to in a python file creating a `paint` module. Copy your classes from above into the module and implement paint functions. Implement a `CompoundShape` class. Create a simple drawing demonstrating that all of your classes are working." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "11. Create a `RasterDrawing` class. Demonstrate that you can create a drawing made of several shapes, paint the drawing, modify the drawing, and paint it again. " + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "12. Implement the ability to load/save raster drawings and demonstate that your method works. One way to implement this ability:\n", + "\n", + " * Overload `__repr__` functions of all objects to return strings of the python code that would construct the object.\n", + " \n", + " * In the save method of raster drawing class, store the representations into the file.\n", + " * Write a loader function that reads the file and uses `eval` to instantiate the object.\n", + "\n", + "For example:" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "class foo:\n", + " def __init__(self,a,b=None):\n", + " self.a=a\n", + " self.b=b\n", + " \n", + " def __repr__(self):\n", + " return \"foo(\"+repr(self.a)+\",\"+repr(self.b)+\")\"\n", + " \n", + " def save(self,filename):\n", + " f=open(filename,\"w\")\n", + " f.write(self.__repr__())\n", + " f.close()\n", + " \n", + " \n", + "def foo_loader(filename):\n", + " f=open(filename,\"r\")\n", + " tmp=eval(f.read())\n", + " f.close()\n", + " return tmp\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "foo(1,'hello')\n" + ] + } + ], + "source": [ + "# Test\n", + "print(repr(foo(1,\"hello\")))" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# Create an object and save it\n", + "ff=foo(1,\"hello\")\n", + "ff.save(\"Test.foo\")" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "foo(1,'hello')" + ] + } + ], + "source": [ + "# Check contents of the saved file\n", + "!cat Test.foo" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "foo(1,'hello')" + ] + }, + "execution_count": 5, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Load the object\n", + "ff_reloaded=foo_loader(\"Test.foo\")\n", + "ff_reloaded" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ds", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.14" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/Labs/Lab.4/Lab.4.ipynb b/Labs/Lab.4/Lab.4.ipynb index 98e6e434..0a8de2d2 100644 --- a/Labs/Lab.4/Lab.4.ipynb +++ b/Labs/Lab.4/Lab.4.ipynb @@ -18,10 +18,43 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error: Attempted to increment beyond maximum value.\n", + "Error: Attempted to increment beyond maximum value.\n" + ] + } + ], + "source": [ + "class SimpleCounter:\n", + " def __init__(self, max_value):\n", + " self.count = 0\n", + " self.max_value = max_value\n", + "\n", + " def increment(self):\n", + " if self.count >= self.max_value:\n", + " print(\"Error: Attempted to increment beyond maximum value.\")\n", + " else:\n", + " self.count += 1\n", + "\n", + " def reset(self):\n", + " self.count = 0\n", + "\n", + "# --- Test ---\n", + "c1 = SimpleCounter(2)\n", + "c1.increment()\n", + "c1.increment()\n", + "c1.increment() # This will print the error\n", + "c1.reset()\n", + "c1.increment() \n", + "c1.increment()\n", + "c1.increment() # This will print the error again" + ] }, { "cell_type": "markdown", @@ -32,10 +65,46 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Value: 2, Is Max?: False\n" + ] + } + ], + "source": [ + "class Counter:\n", + " def __init__(self, max_value):\n", + " self.__count = 0 \n", + " self.__max_value = max_value\n", + "\n", + " def increment(self):\n", + " if self.__count >= self.__max_value:\n", + " print(\"Error: Attempted to increment beyond maximum value.\")\n", + " else:\n", + " self.__count += 1\n", + "\n", + " def reset(self):\n", + " self.__count = 0\n", + "\n", + " def get_value(self):\n", + " return self.__count\n", + "\n", + " def get_max(self):\n", + " return self.__max_value\n", + "\n", + " def is_at_max(self):\n", + " return self.__count == self.__max_value\n", + "\n", + "c2 = Counter(3)\n", + "c2.increment()\n", + "c2.increment()\n", + "print(f\"Value: {c2.get_value()}, Is Max?: {c2.is_at_max()}\")" + ] }, { "cell_type": "markdown", @@ -46,10 +115,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Area: 8, Perimeter: 12.\n" + ] + } + ], + "source": [ + "class Rectangle:\n", + " def __init__(self, length, width, x, y):\n", + " self.__length = length\n", + " self.__width = width\n", + " self.__x = x\n", + " self.__y = y\n", + "\n", + " def get_length(self): return self.__length\n", + " def get_width(self): return self.__width\n", + " def get_x(self): return self.__x\n", + " def get_y(self): return self.__y\n", + "\n", + " def area(self):\n", + " return self.__length * self.__width\n", + " \n", + " def perimeter(self):\n", + " return 2 * (self.__length + self.__width)\n", + " \n", + "# Test\n", + "rect = Rectangle(4, 2, 0, 0)\n", + "print(f\"Area: {rect.area()}, Perimeter: {rect.perimeter()}.\")\n" + ] }, { "cell_type": "markdown", @@ -60,10 +159,44 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Circle Area: 50.27, Perimeter: 25.13\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "\n", + "class Circle:\n", + " def __init__(self, radius, x, y):\n", + " self.__radius = radius\n", + " self.__x = x\n", + " self.__y = y\n", + "\n", + " def get_radius(self):\n", + " return self.__radius\n", + " def get_x(self):\n", + " return self.__x\n", + " def get_y(self):\n", + " return self.__y\n", + "\n", + " def area(self):\n", + " return np.pi * (self.__radius ** 2)\n", + "\n", + " def perimeter(self):\n", + " return 2 * np.pi * self.__radius\n", + "\n", + "# Test\n", + "c = Circle(4, 5, 5)\n", + "print(f\"Circle Area: {c.area():.2f}, Perimeter: {c.perimeter():.2f}\")\n", + " " + ] }, { "cell_type": "markdown", @@ -74,10 +207,50 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Rectangle Area: 12.00\n", + "Circle Area: 12.57\n" + ] + } + ], + "source": [ + "class Shape:\n", + " def area(self):\n", + " raise NotImplementedError\n", + " \n", + " def perimeter(self):\n", + " raise NotImplementedError\n", + "\n", + "class Rectangle(Shape):\n", + " def __init__(self, length, width, x, y):\n", + " self.__length = length\n", + " self.__width = width\n", + " self.__x = x\n", + " self.__y = y\n", + " \n", + " def area(self): return self.__length * self.__width\n", + " def perimeter(self): return 2 * (self.__length + self.__width)\n", + "\n", + "class Circle(Shape):\n", + " def __init__(self, radius, cx, cy):\n", + " self.__radius = radius\n", + " self.__cx = cx\n", + " self.__cy = cy\n", + " \n", + " def area(self): return np.pi * (self.__radius ** 2)\n", + " def perimeter(self): return 2 * np.pi * self.__radius\n", + "\n", + "# --- Test ---\n", + "shapes = [Rectangle(4, 3, 0, 0), Circle(2, 0, 0)]\n", + "for s in shapes:\n", + " print(f\"{s.__class__.__name__} Area: {s.area():.2f}\")" + ] }, { "cell_type": "markdown", @@ -88,10 +261,36 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Triangle Area: 6.0, Perimeter: 12.0\n" + ] + } + ], + "source": [ + "class Triangle(Shape):\n", + " def __init__(self, base, height, x, y):\n", + " self.__base = base\n", + " self.__height = height\n", + " self.__x = x\n", + " self.__y = y\n", + " \n", + " def area(self): \n", + " return 0.5 * self.__base * self.__height\n", + " \n", + " def perimeter(self): \n", + " hypotenuse = np.sqrt(self.__base**2 + self.__height**2)\n", + " return self.__base + self.__height + hypotenuse\n", + "\n", + "# --- Test ---\n", + "t = Triangle(3, 4, 0, 0)\n", + "print(f\"Triangle Area: {t.area()}, Perimeter: {t.perimeter()}\")" + ] }, { "cell_type": "markdown", @@ -102,10 +301,73 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "import math\n", + "\n", + "class Shape:\n", + " def area(self): raise NotImplementedError\n", + " def perimeter(self): raise NotImplementedError\n", + " \n", + " def get_perimeter_points(self): raise NotImplementedError\n", + "\n", + "class Rectangle(Shape):\n", + " def __init__(self, length, width, x, y):\n", + " self.__length = length\n", + " self.__width = width\n", + " self.__x = x\n", + " self.__y = y\n", + " \n", + " def area(self): return self.__length * self.__width\n", + " def perimeter(self): return 2 * (self.__length + self.__width)\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for i in range(4):\n", + " points.append((self.__x + (self.__length * i / 4), self.__y)) # Top edge\n", + " points.append((self.__x + (self.__length * i / 4), self.__y - self.__width)) # Bottom edge\n", + " points.append((self.__x, self.__y - (self.__width * i / 4))) # Left edge\n", + " points.append((self.__x + self.__length, self.__y - (self.__width * i / 4))) # Right edge\n", + " return points\n", + "\n", + "class Circle(Shape):\n", + " def __init__(self, radius, cx, cy):\n", + " self.__radius = radius\n", + " self.__cx = cx\n", + " self.__cy = cy\n", + " \n", + " def area(self): return math.pi * (self.__radius ** 2)\n", + " def perimeter(self): return 2 * math.pi * self.__radius\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for i in range(16):\n", + " angle = 2 * math.pi * i / 16\n", + " px = self.__cx + self.__radius * math.cos(angle)\n", + " py = self.__cy + self.__radius * math.sin(angle)\n", + " points.append((px, py))\n", + " return points\n", + "\n", + "class Triangle(Shape):\n", + " def __init__(self, base, height, x, y):\n", + " self.__base = base\n", + " self.__height = height\n", + " self.__x = x\n", + " self.__y = y\n", + " \n", + " def area(self): return 0.5 * self.__base * self.__height\n", + " def perimeter(self): return self.__base + self.__height + math.sqrt(self.__base**2 + self.__height**2)\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for i in range(5):\n", + " points.append((self.__x + (self.__base * i / 5), self.__y)) \n", + " points.append((self.__x, self.__y + (self.__height * i / 5))) \n", + " points.append((self.__x + (self.__base * i / 5), self.__y + self.__height - (self.__height * i / 5))) \n", + " points.append((self.__x + self.__base, self.__y)) " + ] }, { "cell_type": "markdown", @@ -116,10 +378,90 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], - "source": [] + "source": [ + "class Shape:\n", + " def area(self): raise NotImplementedError\n", + " def perimeter(self): raise NotImplementedError\n", + " def get_perimeter_points(self): raise NotImplementedError\n", + " def contains(self, x, y): raise NotImplementedError\n", + "\n", + "class Rectangle(Shape):\n", + " def __init__(self, length, width, x, y):\n", + " self.length = length\n", + " self.width = width\n", + " self.x = x\n", + " self.y = y\n", + " \n", + " def area(self): return self.length * self.width\n", + " def perimeter(self): return 2 * (self.length + self.width)\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for i in range(4):\n", + " points.append((self.x + (self.length * i / 4), self.y))\n", + " points.append((self.x + (self.length * i / 4), self.y - self.width))\n", + " points.append((self.x, self.y - (self.width * i / 4)))\n", + " points.append((self.x + self.length, self.y - (self.width * i / 4)))\n", + " return points\n", + "\n", + " def contains(self, px, py):\n", + " return (self.x <= px <= self.x + self.length) and (self.y - self.width <= py <= self.y)\n", + "\n", + " def __repr__(self):\n", + " return f\"Rectangle({self.length}, {self.width}, {self.x}, {self.y})\"\n", + "\n", + "class Circle(Shape):\n", + " def __init__(self, radius, cx, cy):\n", + " self.radius = radius\n", + " self.cx = cx\n", + " self.cy = cy\n", + " \n", + " def area(self): return math.pi * (self.radius ** 2)\n", + " def perimeter(self): return 2 * math.pi * self.radius\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for i in range(16):\n", + " angle = 2 * math.pi * i / 16\n", + " points.append((self.cx + self.radius * math.cos(angle), self.cy + self.radius * math.sin(angle)))\n", + " return points\n", + "\n", + " def contains(self, px, py):\n", + " return math.sqrt((px - self.cx)**2 + (py - self.cy)**2) <= self.radius\n", + "\n", + " def __repr__(self):\n", + " return f\"Circle({self.radius}, {self.cx}, {self.cy})\"\n", + "\n", + "class Triangle(Shape):\n", + " def __init__(self, base, height, x, y):\n", + " self.base = base\n", + " self.height = height\n", + " self.x = x\n", + " self.y = y\n", + " \n", + " def area(self): return 0.5 * self.base * self.height\n", + " def perimeter(self): return self.base + self.height + math.sqrt(self.base**2 + self.height**2)\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for i in range(5):\n", + " points.append((self.x + (self.base * i / 5), self.y))\n", + " points.append((self.x, self.y + (self.height * i / 5)))\n", + " points.append((self.x + (self.base * i / 5), self.y + self.height - (self.height * i / 5)))\n", + " points.append((self.x + self.base, self.y))\n", + " return points\n", + "\n", + " def contains(self, px, py):\n", + " if not ((self.x <= px <= self.x + self.base) and (self.y <= py <= self.y + self.height)):\n", + " return False\n", + " return py <= self.y + self.height - (self.height / self.base) * (px - self.x)\n", + "\n", + " def __repr__(self):\n", + " return f\"Triangle({self.base}, {self.height}, {self.x}, {self.y})\"" + ] }, { "cell_type": "markdown", @@ -130,10 +472,87 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True\n" + ] + } + ], + "source": [ + "class Shape:\n", + " def area(self): raise NotImplementedError\n", + " def perimeter(self): raise NotImplementedError\n", + " def get_perimeter_points(self): raise NotImplementedError\n", + " def contains(self, x, y): raise NotImplementedError\n", + " \n", + " def overlaps(self, other):\n", + " for px, py in other.get_perimeter_points():\n", + " if self.contains(px, py):\n", + " return True\n", + " \n", + " for px, py in self.get_perimeter_points():\n", + " if other.contains(px, py):\n", + " return True\n", + " \n", + " return False\n", + "\n", + "class Rectangle(Shape):\n", + " def __init__(self, length, width, x, y):\n", + " self.length = length\n", + " self.width = width\n", + " self.x = x\n", + " self.y = y\n", + " \n", + " def area(self): return self.length * self.width\n", + " def perimeter(self): return 2 * (self.length + self.width)\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for i in range(4):\n", + " points.append((self.x + (self.length * i / 4), self.y))\n", + " points.append((self.x + (self.length * i / 4), self.y - self.width))\n", + " points.append((self.x, self.y - (self.width * i / 4)))\n", + " points.append((self.x + self.length, self.y - (self.width * i / 4)))\n", + " return points\n", + "\n", + " def contains(self, px, py):\n", + " return (self.x <= px <= self.x + self.length) and (self.y - self.width <= py <= self.y)\n", + "\n", + " def __repr__(self):\n", + " return f\"Rectangle({self.length}, {self.width}, {self.x}, {self.y})\"\n", + "\n", + "class Circle(Shape):\n", + " def __init__(self, radius, cx, cy):\n", + " self.radius = radius\n", + " self.cx = cx\n", + " self.cy = cy\n", + " \n", + " def area(self): return math.pi * (self.radius ** 2)\n", + " def perimeter(self): return 2 * math.pi * self.radius\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for i in range(16):\n", + " angle = 2 * math.pi * i / 16\n", + " points.append((self.cx + self.radius * math.cos(angle), self.cy + self.radius * math.sin(angle)))\n", + " return points\n", + "\n", + " def contains(self, px, py):\n", + " return math.sqrt((px - self.cx)**2 + (py - self.cy)**2) <= self.radius\n", + "\n", + " def __repr__(self):\n", + " return f\"Circle({self.radius}, {self.cx}, {self.cy})\"\n", + "\n", + "# --- Q9 Test ---\n", + "r1 = Rectangle(10, 10, 0, 10)\n", + "c1 = Circle(5, 5, 5)\n", + "print(r1.overlaps(c1))" + ] }, { "cell_type": "markdown", @@ -144,10 +563,184 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " \n", + " \n", + " ########### \n", + " ########### \n", + " ########### O \n", + " ########### OOOOO \n", + " ########### OOOOOOO \n", + " ########### OOOOOOO \n", + " OOOOOOOOO \n", + " OOOOOOO \n", + " OOOOOOO \n", + " OOOOO \n", + " O \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n" + ] + } + ], + "source": [ + "import math\n", + "\n", + "class Canvas:\n", + " def __init__(self, width, height):\n", + " self.width = width\n", + " self.height = height\n", + " self.data = [[' '] * width for i in range(height)]\n", + "\n", + " def set_pixel(self, row, col, char='*'):\n", + " if 0 <= row < self.height and 0 <= col < self.width:\n", + " self.data[row][col] = char\n", + "\n", + " def get_pixel(self, row, col):\n", + " return self.data[row][col]\n", + " \n", + " def clear_canvas(self):\n", + " self.data = [[' '] * self.width for i in range(self.height)]\n", + " \n", + " def display(self):\n", + " print(\"\\n\".join([\"\".join(row) for row in self.data]))\n", + "\n", + "class Shape:\n", + " def __init__(self, name=\"\", char=\"*\"):\n", + " self.name = name\n", + " self.char = char\n", + " \n", + " def area(self): raise NotImplementedError\n", + " def perimeter(self): raise NotImplementedError\n", + " def get_perimeter_points(self): raise NotImplementedError\n", + " def contains(self, x, y): raise NotImplementedError\n", + " \n", + " def overlaps(self, other):\n", + " for px, py in other.get_perimeter_points():\n", + " if self.contains(px, py): return True\n", + " for px, py in self.get_perimeter_points():\n", + " if other.contains(px, py): return True\n", + " return False\n", + " \n", + " def paint(self, canvas):\n", + " for row in range(canvas.height):\n", + " for col in range(canvas.width):\n", + " if self.contains(col, row):\n", + " canvas.set_pixel(row, col, self.char)\n", + "\n", + "class Rectangle(Shape):\n", + " def __init__(self, length, width, x, y, name=\"\", char=\"*\"):\n", + " super().__init__(name, char)\n", + " self.length = length\n", + " self.width = width\n", + " self.x = x\n", + " self.y = y\n", + " \n", + " def area(self): return self.length * self.width\n", + " def perimeter(self): return 2 * (self.length + self.width)\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for i in range(4):\n", + " points.append((self.x + (self.length * i / 4), self.y))\n", + " points.append((self.x + (self.length * i / 4), self.y + self.width))\n", + " points.append((self.x, self.y + (self.width * i / 4)))\n", + " points.append((self.x + self.length, self.y + (self.width * i / 4)))\n", + " return points\n", + "\n", + " def contains(self, px, py):\n", + " return (self.x <= px <= self.x + self.length) and (self.y <= py <= self.y + self.width)\n", + "\n", + " def __repr__(self):\n", + " return f\"Rectangle({self.length}, {self.width}, {self.x}, {self.y}, '{self.name}', '{self.char}')\"\n", + "\n", + "class Circle(Shape):\n", + " def __init__(self, radius, cx, cy, name=\"\", char=\"*\"):\n", + " super().__init__(name, char)\n", + " self.radius = radius\n", + " self.cx = cx\n", + " self.cy = cy\n", + " \n", + " def area(self): return math.pi * (self.radius ** 2)\n", + " def perimeter(self): return 2 * math.pi * self.radius\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for i in range(16):\n", + " angle = 2 * math.pi * i / 16\n", + " points.append((self.cx + self.radius * math.cos(angle), self.cy + self.radius * math.sin(angle)))\n", + " return points\n", + "\n", + " def contains(self, px, py):\n", + " return math.sqrt((px - self.cx)**2 + (py - self.cy)**2) <= self.radius\n", + "\n", + " def __repr__(self):\n", + " return f\"Circle({self.radius}, {self.cx}, {self.cy}, '{self.name}', '{self.char}')\"\n", + "\n", + "class Triangle(Shape):\n", + " def __init__(self, base, height, x, y, name=\"\", char=\"*\"):\n", + " super().__init__(name, char)\n", + " self.base = base\n", + " self.height = height\n", + " self.x = x\n", + " self.y = y\n", + " \n", + " def area(self): return 0.5 * self.base * self.height\n", + " def perimeter(self): return self.base + self.height + math.sqrt(self.base**2 + self.height**2)\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for i in range(5):\n", + " points.append((self.x + (self.base * i / 5), self.y))\n", + " points.append((self.x, self.y + (self.height * i / 5)))\n", + " points.append((self.x + (self.base * i / 5), self.y + self.height - (self.height * i / 5)))\n", + " points.append((self.x + self.base, self.y))\n", + " return points\n", + "\n", + " def contains(self, px, py):\n", + " if not ((self.x <= px <= self.x + self.base) and (self.y <= py <= self.y + self.height)):\n", + " return False\n", + " return py <= self.y + self.height - (self.height / self.base) * (px - self.x)\n", + "\n", + " def __repr__(self):\n", + " return f\"Triangle({self.base}, {self.height}, {self.x}, {self.y}, '{self.name}', '{self.char}')\"\n", + "\n", + "class CompoundShape(Shape):\n", + " def __init__(self, shapes, name=\"\", char=\"*\"):\n", + " super().__init__(name, char)\n", + " self.shapes = shapes\n", + " \n", + " def get_perimeter_points(self):\n", + " points = []\n", + " for s in self.shapes: \n", + " points.extend(s.get_perimeter_points())\n", + " return points\n", + " \n", + " def contains(self, x, y):\n", + " return any(s.contains(x, y) for s in self.shapes)\n", + " \n", + " def paint(self, canvas):\n", + " for s in self.shapes:\n", + " s.paint(canvas)\n", + " \n", + " def __repr__(self):\n", + " return f\"CompoundShape({self.shapes}, '{self.name}', '{self.char}')\"\n", + "\n", + "my_canvas = Canvas(40, 20)\n", + "comp = CompoundShape([Rectangle(10, 5, 2, 2, char=\"#\"), Circle(4, 25, 8, char=\"O\")])\n", + "comp.paint(my_canvas)\n", + "my_canvas.display()" + ] }, { "cell_type": "markdown", @@ -158,10 +751,100 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": {}, - "outputs": [], - "source": [] + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " \n", + " \n", + " \n", + " \n", + " \n", + " O TTTTTTTTT \n", + " OOOOOOO TTTTTTTT \n", + " OOOOOOOOO TTTTTTT \n", + " OOOOOOOOO TTTTTT \n", + " OOOOOOOOO TTTTT \n", + " OOOOOOOOOOO TTTT \n", + " OOOOOOOOO TTT \n", + " OOOOOOOOO TT \n", + " OOOOOOOOO T \n", + " OOOOOOO \n", + " O \n", + " \n", + " \n", + " \n", + " \n", + "\n", + "\n", + " \n", + " \n", + " O \n", + " OOOOOOO \n", + " OOOOOOOOOOO \n", + " OOOOOOOOOOOOO TTTTTTTTT \n", + " OOOOOOOOOOOOO TTTTTTTT \n", + " OOOOOOOOOOOOOOO TTTTTTT \n", + " OOOOOOOOOOOOOOO TTTTTT \n", + " OOOOOOOOOOOOOOO TTTTT \n", + " OOOOOOOOOOOOOOOOO TTTT \n", + " OOOOOOOOOOOOOOO TTT \n", + " OOOOOOOOOOOOOOO TT \n", + " OOOOOOOOOOOOOOO T \n", + " OOOOOOOOOOOOO \n", + " OOOOOOOOOOOOO \n", + " OOOOOOOOOOO \n", + " OOOOOOO \n", + " O \n", + " \n" + ] + } + ], + "source": [ + "class RasterDrawing:\n", + " def __init__(self):\n", + " self.shapes = dict()\n", + " self.shape_names = list()\n", + " \n", + " def add_shape(self, shape):\n", + " if shape.name == \"\":\n", + " shape.name = self.assign_name()\n", + " self.shapes[shape.name] = shape\n", + " self.shape_names.append(shape.name)\n", + "\n", + " def update(self, canvas):\n", + " canvas.clear_canvas()\n", + " self.paint(canvas)\n", + " \n", + " def paint(self, canvas):\n", + " for shape_name in self.shape_names:\n", + " self.shapes[shape_name].paint(canvas)\n", + " \n", + " def assign_name(self):\n", + " name_base = \"shape\"\n", + " name = name_base + \"_0\"\n", + " i = 1\n", + " while name in self.shapes:\n", + " name = name_base + \"_\" + str(i)\n", + " i += 1\n", + " return name\n", + "\n", + "drawing_canvas = Canvas(40, 20)\n", + "rd = RasterDrawing()\n", + "rd.add_shape(Circle(5, 10, 10, char=\"O\"))\n", + "rd.add_shape(Triangle(8, 8, 20, 5, char=\"T\"))\n", + "rd.paint(drawing_canvas)\n", + "drawing_canvas.display()\n", + "\n", + "print(\"\\n\")\n", + "\n", + "rd.shapes[\"shape_0\"].radius = 8\n", + "rd.update(drawing_canvas)\n", + "drawing_canvas.display()" + ] }, { "cell_type": "markdown", @@ -177,6 +860,65 @@ "For example:" ] }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " \n", + " \n", + " \n", + " \n", + " \n", + " ########### \n", + " ########### \n", + " ########### O \n", + " ########### OOOOO \n", + " ########### OOOOO \n", + " ########### OOOOOOO \n", + " OOOOO \n", + " OOOOO \n", + " O \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n" + ] + } + ], + "source": [ + "class RasterDrawingSaveable(RasterDrawing):\n", + " def save(self, filename):\n", + " with open(filename, \"w\") as f:\n", + " f.write(repr(list(self.shapes.values())))\n", + " \n", + "def load_drawing(filename):\n", + " with open(filename, \"r\") as f:\n", + " shapes_list = eval(f.read())\n", + " \n", + " new_drawing = RasterDrawingSaveable()\n", + " for s in shapes_list:\n", + " new_drawing.add_shape(s)\n", + " return new_drawing\n", + "\n", + "drawing = RasterDrawingSaveable()\n", + "drawing.add_shape(Rectangle(10, 5, 5, 5, char=\"#\"))\n", + "drawing.add_shape(Circle(3, 25, 10, char=\"O\"))\n", + "\n", + "drawing.save(\"lab4_drawing.txt\")\n", + "\n", + "loaded = load_drawing(\"lab4_drawing.txt\")\n", + "test_canvas = Canvas(40, 20)\n", + "loaded.paint(test_canvas)\n", + "test_canvas.display()" + ] + }, { "cell_type": "code", "execution_count": 1, @@ -276,7 +1018,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "ds", "language": "python", "name": "python3" }, @@ -290,7 +1032,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.12" + "version": "3.11.14" } }, "nbformat": 4, diff --git a/Labs/Lab.4/lab4_drawing.txt b/Labs/Lab.4/lab4_drawing.txt new file mode 100644 index 00000000..0f104b0f --- /dev/null +++ b/Labs/Lab.4/lab4_drawing.txt @@ -0,0 +1 @@ +[Rectangle(10, 5, 5, 5, 'shape_0', '#'), Circle(3, 25, 10, 'shape_1', 'O')] \ No newline at end of file diff --git a/Labs/Lab.5/Lab.5.ipynb b/Labs/Lab.5/Lab.5.ipynb index cba02709..e0dfc58d 100644 --- a/Labs/Lab.5/Lab.5.ipynb +++ b/Labs/Lab.5/Lab.5.ipynb @@ -20,7 +20,91 @@ " * Matrix instances `M` can be indexed with `M[i][j]` and `M[i,j]`.\n", " * Matrix assignment works in 2 ways:\n", " 1. If `M_1` and `M_2` are `matrix` instances `M_1=M_2` sets the values of `M_1` to those of `M_2`, if they are the same size. Error otherwise.\n", - " 2. In example above `M_2` can be a list of lists of correct size.\n" + " 2. In example above `M_2` can be a list of lists of correct size." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--- Q1 Tests ---\n", + "Q1 Initialization, Indexing, and Assignment tests passed!\n" + ] + } + ], + "source": [ + "class matrix:\n", + " def __init__(self, *args):\n", + " # I'm checking if the arguments are two integers (n, m) to create a zero matrix\n", + " if len(args) == 2 and isinstance(args[0], int) and isinstance(args[1], int):\n", + " self.n, self.m = args[0], args[1]\n", + " self.data = [[0 for _ in range(self.m)] for _ in range(self.n)]\n", + " \n", + " # Or if the argument is a list of lists, I need to copy it over\n", + " elif len(args) == 1 and isinstance(args[0], list):\n", + " input_list = args[0]\n", + " self.n = len(input_list)\n", + " self.m = len(input_list[0]) if self.n > 0 else 0\n", + " \n", + " # Making sure every row has the same number of columns to catch bad inputs\n", + " if not all(isinstance(row, list) and len(row) == self.m for row in input_list):\n", + " raise ValueError(\"All rows must have the same number of columns.\")\n", + " \n", + " self.data = [[val for val in row] for row in input_list]\n", + " else:\n", + " raise ValueError(\"Need either (n, m) or a list of lists.\")\n", + "\n", + " def __getitem__(self, index):\n", + " # Python passes M[i,j] as a tuple, so I unpack it\n", + " if isinstance(index, tuple):\n", + " i, j = index\n", + " return self.data[i][j]\n", + " # For M[i][j], the first brackets pass an int, returning the whole row\n", + " elif isinstance(index, int):\n", + " return self.data[index]\n", + " else:\n", + " raise TypeError(\"Index needs to be an int or tuple.\")\n", + "\n", + " def __setitem__(self, index, value):\n", + " # Allowing value assignment like M[0,1] = 5\n", + " if isinstance(index, tuple):\n", + " i, j = index\n", + " self.data[i][j] = value\n", + " elif isinstance(index, int):\n", + " self.data[index] = value\n", + "\n", + " def assign(self, other):\n", + " # The assignment operator '=' cannot be overloaded in Python. \n", + " # Writing M_1 = M_2 just creates a reference copy, it doesn't modify the object's values.\n", + " # So, I'm using an assign() method to handle the specific assignment logic requested.\n", + " if isinstance(other, matrix):\n", + " if self.n != other.n or self.m != other.m:\n", + " raise ValueError(\"Size mismatch.\")\n", + " self.data = [[val for val in row] for row in other.data]\n", + " elif isinstance(other, list):\n", + " if len(other) != self.n or not all(len(row) == self.m for row in other):\n", + " raise ValueError(\"Size mismatch.\")\n", + " self.data = [[val for val in row] for row in other]\n", + "\n", + " def __str__(self):\n", + " return '\\n'.join([str(row) for row in self.data])\n", + "\n", + "# --- EXPLICIT TESTS FOR Q1 ---\n", + "print(\"--- Q1 Tests ---\")\n", + "m1 = matrix(2, 3)\n", + "assert m1.data == [[0, 0, 0], [0, 0, 0]]\n", + "m2 = matrix([[1, 2], [3, 4]])\n", + "assert m2.data == [[1, 2], [3, 4]]\n", + "\n", + "m_target = matrix(2, 2)\n", + "m_target.assign(m2)\n", + "assert m_target.data == [[1, 2], [3, 4]]\n", + "print(\"Q1 Initialization, Indexing, and Assignment tests passed!\")" ] }, { @@ -37,6 +121,100 @@ " " ] }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--- Q2 Tests ---\n", + "Q2 Properties and Slicing tests passed!\n" + ] + } + ], + "source": [ + "class matrix:\n", + " # --- Q1 Methods ---\n", + " def __init__(self, *args):\n", + " if len(args) == 2 and isinstance(args[0], int) and isinstance(args[1], int):\n", + " self.n, self.m = args[0], args[1]\n", + " self.data = [[0 for _ in range(self.m)] for _ in range(self.n)]\n", + " elif len(args) == 1 and isinstance(args[0], list):\n", + " input_list = args[0]\n", + " self.n, self.m = len(input_list), (len(input_list[0]) if len(input_list) > 0 else 0)\n", + " if not all(isinstance(row, list) and len(row) == self.m for row in input_list):\n", + " raise ValueError(\"All rows must have the same number of columns.\")\n", + " self.data = [[val for val in row] for row in input_list]\n", + "\n", + " def __getitem__(self, index):\n", + " # Upgraded to handle slicing. If the index contains a 'slice' object (like 0:2),\n", + " # I use list comprehensions to grab those specific chunks.\n", + " if isinstance(index, tuple):\n", + " i, j = index\n", + " if isinstance(i, slice) or isinstance(j, slice):\n", + " if isinstance(i, int): i = slice(i, i+1)\n", + " if isinstance(j, int): j = slice(j, j+1)\n", + " return matrix([row[j] for row in self.data[i]])\n", + " return self.data[i][j]\n", + " elif isinstance(index, slice):\n", + " return matrix(self.data[index])\n", + " elif isinstance(index, int):\n", + " return self.data[index]\n", + "\n", + " def __setitem__(self, index, value):\n", + " if isinstance(index, tuple): i, j = index; self.data[i][j] = value\n", + " elif isinstance(index, int): self.data[index] = value\n", + "\n", + " def assign(self, other):\n", + " if isinstance(other, matrix):\n", + " if self.shape() != other.shape(): raise ValueError(\"Size mismatch.\")\n", + " self.data = [[val for val in row] for row in other.data]\n", + " elif isinstance(other, list):\n", + " self.data = [[val for val in row] for row in other]\n", + " \n", + " def __str__(self): return '\\n'.join([str(row) for row in self.data])\n", + "\n", + " # --- Q2 New Methods ---\n", + " def shape(self):\n", + " # Simply returns the dimensions stored during init\n", + " return (self.n, self.m)\n", + "\n", + " def transpose(self):\n", + " # Swapping rows and columns to create the transposed version\n", + " t_data = [[self.data[i][j] for i in range(self.n)] for j in range(self.m)]\n", + " return matrix(t_data)\n", + "\n", + " def row(self, n):\n", + " # Wrapping the row in an extra list bracket so it becomes a 1xm matrix\n", + " return matrix([self.data[n]])\n", + "\n", + " def column(self, n):\n", + " # Grabbing the nth element of every row to build an nx1 matrix\n", + " return matrix([[self.data[i][n]] for i in range(self.n)])\n", + "\n", + " def to_list(self):\n", + " # Using a list comprehension to return a clean copy, avoiding reference bugs\n", + " return [[val for val in row] for row in self.data]\n", + "\n", + " def block(self, n_0, n_1, m_0, m_1):\n", + " # Standard Python slicing: grab rows m_0 to m_1, then slice those rows from cols n_0 to n_1\n", + " return matrix([r[n_0:n_1] for r in self.data[m_0:m_1]])\n", + "\n", + "# --- EXPLICIT TESTS FOR Q2 ---\n", + "print(\"--- Q2 Tests ---\")\n", + "m_test = matrix([[1, 2, 3], [4, 5, 6], [7, 8, 9]])\n", + "assert m_test.shape() == (3, 3)\n", + "assert m_test.transpose().data == [[1, 4, 7], [2, 5, 8], [3, 6, 9]]\n", + "assert m_test.row(1).data == [[4, 5, 6]]\n", + "assert m_test.column(2).data == [[3], [6], [9]]\n", + "assert m_test.to_list() == [[1, 2, 3], [4, 5, 6], [7, 8, 9]]\n", + "assert m_test.block(1, 3, 0, 2).data == [[2, 3], [5, 6]]\n", + "print(\"Q2 Properties and Slicing tests passed!\")" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -47,6 +225,49 @@ " * `eye(n)`: returns the n by n identity matrix." ] }, + { + "cell_type": "code", + "execution_count": 21, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--- Q3 Tests ---\n", + "Q3 Special Matrices tests passed!\n" + ] + } + ], + "source": [ + "# --- Q3 Standalone Functions ---\n", + "\n", + "def constant(n, m, c):\n", + " # Creating an n by m matrix filled with the float version of c\n", + " val = float(c)\n", + " return matrix([[val for j in range(m)] for i in range(n)])\n", + "\n", + "def zeros(n, m):\n", + " # Reusing the constant function to avoid rewriting the same loops\n", + " return constant(n, m, 0.0)\n", + "\n", + "def ones(n, m):\n", + " # Same trick, reusing constant for 1.0\n", + " return constant(n, m, 1.0)\n", + "\n", + "def eye(n):\n", + " # Building the identity matrix: 1.0 on the diagonal (where i == j), 0.0 elsewhere\n", + " return matrix([[1.0 if i == j else 0.0 for j in range(n)] for i in range(n)])\n", + "\n", + "# --- EXPLICIT TESTS FOR Q3 ---\n", + "print(\"--- Q3 Tests ---\")\n", + "assert constant(2, 2, 5).data == [[5.0, 5.0], [5.0, 5.0]]\n", + "assert zeros(2, 3).data == [[0.0, 0.0, 0.0], [0.0, 0.0, 0.0]]\n", + "assert ones(2, 2).data == [[1.0, 1.0], [1.0, 1.0]]\n", + "assert eye(3).data == [[1.0, 0.0, 0.0], [0.0, 1.0, 0.0], [0.0, 0.0, 1.0]]\n", + "print(\"Q3 Special Matrices tests passed!\")" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -74,6 +295,142 @@ " * M=N\n" ] }, + { + "cell_type": "code", + "execution_count": 23, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--- Q4 & Q5 Tests ---\n", + "Q4 Math Methods and Q5 Overloaded Operators tests passed!\n" + ] + } + ], + "source": [ + "class matrix:\n", + " # --- Q1 & Q2 Methods ---\n", + " def __init__(self, *args):\n", + " if len(args) == 2 and isinstance(args[0], int) and isinstance(args[1], int):\n", + " self.n, self.m = args[0], args[1]\n", + " self.data = [[0 for _ in range(self.m)] for _ in range(self.n)]\n", + " elif len(args) == 1 and isinstance(args[0], list):\n", + " input_list = args[0]\n", + " self.n, self.m = len(input_list), (len(input_list[0]) if len(input_list) > 0 else 0)\n", + " if not all(isinstance(row, list) and len(row) == self.m for row in input_list):\n", + " raise ValueError(\"All rows must have the same number of columns.\")\n", + " self.data = [[val for val in row] for row in input_list]\n", + "\n", + " def __getitem__(self, index):\n", + " if isinstance(index, tuple):\n", + " i, j = index\n", + " if isinstance(i, slice) or isinstance(j, slice):\n", + " if isinstance(i, int): i = slice(i, i+1)\n", + " if isinstance(j, int): j = slice(j, j+1)\n", + " return matrix([row[j] for row in self.data[i]])\n", + " return self.data[i][j]\n", + " elif isinstance(index, slice): return matrix(self.data[index])\n", + " elif isinstance(index, int): return self.data[index]\n", + "\n", + " def __setitem__(self, index, value):\n", + " if isinstance(index, tuple): i, j = index; self.data[i][j] = value\n", + " elif isinstance(index, int): self.data[index] = value\n", + "\n", + " def assign(self, other):\n", + " if isinstance(other, matrix):\n", + " if self.shape() != other.shape(): raise ValueError(\"Size mismatch.\")\n", + " self.data = [[val for val in row] for row in other.data]\n", + " elif isinstance(other, list):\n", + " self.data = [[val for val in row] for row in other]\n", + "\n", + " def shape(self): return (self.n, self.m)\n", + " def transpose(self): return matrix([[self.data[i][j] for i in range(self.n)] for j in range(self.m)])\n", + " def row(self, n): return matrix([self.data[n]])\n", + " def column(self, n): return matrix([[self.data[i][n]] for i in range(self.n)])\n", + " def to_list(self): return [[val for val in row] for row in self.data]\n", + " def block(self, n_0, n_1, m_0, m_1): return matrix([r[n_0:n_1] for r in self.data[m_0:m_1]])\n", + " def __str__(self): return '\\n'.join([str(row) for row in self.data])\n", + "\n", + " # --- Q4 Math Operations ---\n", + " def scalarmul(self, c):\n", + " return matrix([[val * c for val in row] for row in self.data])\n", + "\n", + " def add(self, N):\n", + " if self.shape() != N.shape(): raise ValueError(\"Addition error: Size mismatch.\")\n", + " return matrix([[self.data[i][j] + N.data[i][j] for j in range(self.m)] for i in range(self.n)])\n", + "\n", + " def sub(self, N):\n", + " if self.shape() != N.shape(): raise ValueError(\"Subtraction error: Size mismatch.\")\n", + " return matrix([[self.data[i][j] - N.data[i][j] for j in range(self.m)] for i in range(self.n)])\n", + "\n", + " def mat_mult(self, N):\n", + " if self.m != N.n: raise ValueError(\"Matrix multiplication error: M columns must equal N rows.\")\n", + " result_data = []\n", + " for i in range(self.n):\n", + " new_row = []\n", + " for j in range(N.m):\n", + " # taking the dot product of M's row and N's column\n", + " new_row.append(sum(self.data[i][k] * N.data[k][j] for k in range(self.m)))\n", + " result_data.append(new_row)\n", + " return matrix(result_data)\n", + "\n", + " def element_mult(self, N):\n", + " if self.shape() != N.shape(): raise ValueError(\"Element multiplication error: Size mismatch.\")\n", + " return matrix([[self.data[i][j] * N.data[i][j] for j in range(self.m)] for i in range(self.n)])\n", + "\n", + " def equals(self, N):\n", + " if not isinstance(N, matrix) or self.shape() != N.shape(): return False\n", + " return self.data == N.data\n", + "\n", + " # --- Q5 Operator Overloading ---\n", + " \n", + " # Python uses magic methods like __add__ to know what to do when you type '+'\n", + " def __add__(self, other):\n", + " return self.add(other)\n", + "\n", + " def __sub__(self, other):\n", + " return self.sub(other)\n", + "\n", + " def __mul__(self, other):\n", + " # I need to check if 'other' is a matrix or a scalar to decide which math rule to apply\n", + " if isinstance(other, matrix):\n", + " return self.mat_mult(other)\n", + " elif isinstance(other, (int, float)):\n", + " return self.scalarmul(other)\n", + "\n", + " def __rmul__(self, other):\n", + " # This handles the case where the scalar comes first, like 2 * M\n", + " return self.scalarmul(other)\n", + "\n", + " def __eq__(self, other):\n", + " # Overloads the '==' operator\n", + " return self.equals(other)\n", + " \n", + " # Note on M=N from Q5 requirements: Python physically cannot overload the '=' operator. \n", + " # So Using the assign() method implemented in Q1 to assign values without creating a reference copy.\n", + "\n", + "# --- EXPLICIT TESTS FOR Q4 & Q5 ---\n", + "print(\"--- Q4 & Q5 Tests ---\")\n", + "M1 = matrix([[1, 2], [3, 4]])\n", + "M2 = matrix([[5, 6], [7, 8]])\n", + "\n", + "# Testing Q4 explicit methods\n", + "assert M1.scalarmul(3).data == [[3, 6], [9, 12]]\n", + "assert M1.mat_mult(M2).data == [[19, 22], [43, 50]]\n", + "\n", + "# Testing Q5 overloaded operators\n", + "assert (M1 + M2).data == [[6, 8], [10, 12]]\n", + "assert (M1 - M2).data == [[-4, -4], [-4, -4]]\n", + "assert (M1 * M2).data == [[19, 22], [43, 50]]\n", + "assert (M1 * 2).data == [[2, 4], [6, 8]]\n", + "assert (2 * M1).data == [[2, 4], [6, 8]]\n", + "assert (M1 == matrix([[1, 2], [3, 4]])) == True\n", + "\n", + "print(\"Q4 Math Methods and Q5 Overloaded Operators tests passed!\")" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -94,6 +451,72 @@ "$$" ] }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "--- Q6 Mathematical Demonstrations ---\n", + "\n", + "1. Demonstrating (AB)C = A(BC)\n", + "Is it true? True\n", + "\n", + "2. Demonstrating A(B+C) = AB + AC\n", + "Is it true? True\n", + "\n", + "3. Demonstrating AB != BA\n", + "Is it true? True\n", + "\n", + "4. Demonstrating AI = A\n", + "Is it true? True\n", + "\n", + "All Q6 linear algebra properties successfully demonstrated!\n" + ] + } + ], + "source": [ + "# Create test matrices\n", + "A = matrix([[1, 2], [3, 4]])\n", + "B = matrix([[5, 6], [7, 8]])\n", + "C = matrix([[9, 10], [11, 12]])\n", + "I = eye(2) \n", + "\n", + "print(\"--- Q6 Mathematical Demonstrations ---\\n\")\n", + "\n", + "# 1. Associativity: (AB)C = A(BC)\n", + "left_side = (A * B) * C\n", + "right_side = A * (B * C)\n", + "print(\"1. Demonstrating (AB)C = A(BC)\")\n", + "print(f\"Is it true? {left_side == right_side}\\n\")\n", + "assert left_side == right_side\n", + "\n", + "# 2. Distributivity: A(B+C) = AB + AC\n", + "left_side = A * (B + C)\n", + "right_side = (A * B) + (A * C)\n", + "print(\"2. Demonstrating A(B+C) = AB + AC\")\n", + "print(f\"Is it true? {left_side == right_side}\\n\")\n", + "assert left_side == right_side\n", + "\n", + "# 3. Non-commutativity: AB != BA\n", + "AB = A * B\n", + "BA = B * A\n", + "print(\"3. Demonstrating AB != BA\")\n", + "print(f\"Is it true? {not (AB == BA)}\\n\")\n", + "assert not (AB == BA)\n", + "\n", + "# 4. Identity: AI = A\n", + "AI = A * I\n", + "print(\"4. Demonstrating AI = A\")\n", + "print(f\"Is it true? {AI == A}\\n\")\n", + "assert AI == A\n", + "\n", + "print(\"All Q6 linear algebra properties successfully demonstrated!\")" + ] + }, { "cell_type": "code", "execution_count": null, @@ -104,7 +527,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "base", "language": "python", "name": "python3" }, @@ -118,7 +541,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.12" + "version": "3.12.12" } }, "nbformat": 4, diff --git a/Labs/Lab.6/.DS_Store b/Labs/Lab.6/.DS_Store new file mode 100644 index 00000000..36125665 Binary files /dev/null and b/Labs/Lab.6/.DS_Store differ diff --git a/Labs/Lab.6/Lab.6.ipynb b/Labs/Lab.6/Lab.6.ipynb index 3bc4e512..3cc6d7a7 100755 --- a/Labs/Lab.6/Lab.6.ipynb +++ b/Labs/Lab.6/Lab.6.ipynb @@ -29,6 +29,66 @@ "1. Begin by creating a classes to represent cards and decks. The deck should support more than one 52-card set. The deck should allow you to shuffle and draw cards. Include a \"plastic\" card, placed randomly in the deck. Later, when the plastic card is dealt, shuffle the cards before the next deal." ] }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "class Player:\n", + " def __init__(self, name, starting_chips=1000):\n", + " self.name = name\n", + " self.chips = starting_chips\n", + " self.hand = []\n", + " \n", + " # Storing the bet on the player object so we can easily calculate \n", + " # payouts or losses at the end of the round.\n", + " self.current_bet = 0 \n", + " \n", + " def receive_card(self, card):\n", + " self.hand.append(card)\n", + "\n", + " def calculate_score(self):\n", + " \"\"\"Calculates the best possible hand value.\"\"\"\n", + " score = 0\n", + " aces = 0\n", + " \n", + " # Logic: It's easier to assume all Aces are 11s initially. \n", + " # We can just downgrade them to 1s later if the total goes over 21.\n", + " for card in self.hand:\n", + " if card.rank in ['J', 'Q', 'K']:\n", + " score += 10\n", + " elif card.rank == 'A':\n", + " aces += 1\n", + " score += 11\n", + " else:\n", + " score += int(card.rank)\n", + " \n", + " # If we bust, check if we have an Ace we can shrink from 11 to 1.\n", + " # We subtract 10 for each Ace we convert until we are safe.\n", + " while score > 21 and aces > 0:\n", + " score -= 10\n", + " aces -= 1\n", + " \n", + " return score\n", + " \n", + " def clear_hand(self):\n", + " # Resetting for the next simulation round\n", + " self.hand = []\n", + " self.current_bet = 0\n", + "\n", + "\n", + "class Dealer(Player):\n", + " # The dealer is just a player with forced actions, so inheritance makes sense here.\n", + " def __init__(self):\n", + " super().__init__(\"Dealer\", starting_chips=0) # Dealer chips don't matter\n", + "\n", + " def should_hit(self):\n", + " # Assignment requirement: Dealer hits on 16 and stands on 17.\n", + " # Returning True means \"Hit\", False means \"Stand\".\n", + " return self.calculate_score() < 17" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -43,6 +103,153 @@ "3. Begin with implementing the skeleton (ie define data members and methods/functions, but do not code the logic) of the classes in your UML diagram." ] }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "class Card:\n", + " \"\"\"Represents a single playing card.\"\"\"\n", + " def __init__(self, rank, suit):\n", + " # Storing basic card properties. \n", + " self.rank = rank\n", + " self.suit = suit\n", + "\n", + " def __str__(self):\n", + " pass\n", + "\n", + " def __repr__(self):\n", + " pass\n", + "\n", + "\n", + "class Deck:\n", + " \"\"\"Manages the shoe of multiple decks.\"\"\"\n", + " def __init__(self, num_decks=6):\n", + " self.num_decks = num_decks\n", + " # Using a list to hold Card objects so we maintain drawing order\n", + " self.cards = [] \n", + " # Flag to tell the Game loop when the plastic card was hit\n", + " self.needs_reshuffle = False \n", + "\n", + " def build_deck(self):\n", + " pass\n", + "\n", + " def shuffle(self):\n", + " pass\n", + "\n", + " def draw(self):\n", + " pass\n", + "\n", + "\n", + "class Player:\n", + " def __init__(self, name, strategy=\"Human\", starting_chips=1000):\n", + " self.name = name\n", + " self.chips = starting_chips\n", + " self.current_bet = 0\n", + " self.hand = []\n", + " self.strategy = strategy \n", + "\n", + " def receive_card(self, card):\n", + " self.hand.append(card)\n", + "\n", + " def calculate_score(self):\n", + " score = 0\n", + " aces = 0\n", + " \n", + " for card in self.hand:\n", + " if card.rank in ['J', 'Q', 'K']:\n", + " score += 10\n", + " elif card.rank == 'A':\n", + " aces += 1\n", + " score += 11\n", + " else:\n", + " score += int(card.rank)\n", + " \n", + " while score > 21 and aces > 0:\n", + " score -= 10\n", + " aces -= 1\n", + " \n", + " return score\n", + "\n", + " def clear_hand(self):\n", + " self.hand = []\n", + " self.current_bet = 0\n", + "\n", + " def place_bet(self):\n", + " \"\"\"Routes betting logic based on player strategy.\"\"\"\n", + " if self.strategy == \"Human\":\n", + " while True:\n", + " try:\n", + " bet = int(input(f\"{self.name}, you have {self.chips} chips. Enter bet: \"))\n", + " if 0 < bet <= self.chips:\n", + " self.current_bet = bet\n", + " self.chips -= bet\n", + " break\n", + " else:\n", + " print(\"Invalid amount. Must be greater than 0.\")\n", + " except ValueError:\n", + " print(\"Please enter a valid number.\")\n", + " else:\n", + " # Automated bot logic: Always bet 10 chips to keep the simulation simple\n", + " if self.chips > 0:\n", + " bet = 10 if self.chips >= 10 else self.chips\n", + " self.current_bet = bet\n", + " self.chips -= bet\n", + "\n", + " def decide_action(self, dealer_upcard, true_count):\n", + " \"\"\"Routes hitting/standing logic based on player strategy.\"\"\"\n", + " if self.strategy == \"Human\":\n", + " while True:\n", + " choice = input(f\"Your score is {self.calculate_score()}. Hit or Stand? (h/s): \").lower()\n", + " if choice in ['h', 's']:\n", + " return \"Hit\" if choice == 'h' else \"Stand\"\n", + " print(\"Invalid input. Please type 'h' or 's'.\")\n", + " \n", + " elif self.strategy == \"Dealer\":\n", + " # Dealer bots ignore the true_count and just hit if under 17\n", + " if self.calculate_score() < 17:\n", + " return \"Hit\"\n", + " return \"Stand\"\n", + "\n", + "\n", + "class Dealer(Player):\n", + " \"\"\"The dealer is a specific type of player with fixed rules.\"\"\"\n", + " def __init__(self):\n", + " # Calling the parent Player __init__, but hardcoding the name and strategy.\n", + " # Dealers don't need chips, so we set it to 0.\n", + " super().__init__(name=\"Dealer\", strategy=\"Fixed Rules\", starting_chips=0)\n", + "\n", + " def should_hit(self):\n", + " # This will override normal player logic since the dealer must hit on 16.\n", + " pass\n", + "\n", + "\n", + "class Game:\n", + " \"\"\"The central controller that runs the simulation.\"\"\"\n", + " def __init__(self, num_players=1, decks_in_shoe=6):\n", + " # Aggregating our other classes here to build the actual table environment\n", + " self.deck = Deck(num_decks=decks_in_shoe)\n", + " self.dealer = Dealer()\n", + " self.players = []\n", + " \n", + " # Tracking the global card counting state\n", + " self.running_count = 0\n", + " self.true_count = 0.0\n", + "\n", + " def update_count(self, card):\n", + " # This will adjust the running_count based on the drawn card's value\n", + " pass\n", + "\n", + " def play_round(self):\n", + " # This will handle the sequence: bets -> deal -> player turns -> dealer turn -> payouts\n", + " pass\n", + "\n", + " def run_simulation(self, num_games):\n", + " # The main loop to run play_round() thousands of times for our data analysis\n", + " pass" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -50,6 +257,225 @@ "4. Complete the implementation by coding the logic of all functions. For now, just implement the dealer player and human player." ] }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "import random\n", + "\n", + "class Card:\n", + " def __init__(self, rank, suit):\n", + " self.rank = rank\n", + " self.suit = suit\n", + " def __str__(self): return f\"{self.rank} of {self.suit}\"\n", + " def __repr__(self): return self.__str__()\n", + "\n", + "class Deck:\n", + " suits = ['Hearts', 'Diamonds', 'Clubs', 'Spades']\n", + " ranks = ['2', '3', '4', '5', '6', '7', '8', '9', '10', 'J', 'Q', 'K', 'A']\n", + "\n", + " def __init__(self, num_decks=6):\n", + " self.num_decks = num_decks\n", + " self.cards = []\n", + " self.needs_reshuffle = False\n", + " self.build_deck()\n", + " self.shuffle()\n", + "\n", + " def build_deck(self):\n", + " self.cards = [Card(rank, suit) for _ in range(self.num_decks) for suit in self.suits for rank in self.ranks]\n", + "\n", + " def shuffle(self):\n", + " random.shuffle(self.cards)\n", + " self.needs_reshuffle = False\n", + " total_cards = len(self.cards)\n", + " insert_idx = random.randint(total_cards // 2, int(total_cards * 0.85))\n", + " self.cards.insert(insert_idx, \"PLASTIC_CARD\")\n", + "\n", + " def draw(self):\n", + " if not self.cards:\n", + " self.build_deck()\n", + " self.shuffle()\n", + " drawn_item = self.cards.pop(0)\n", + " if drawn_item == \"PLASTIC_CARD\":\n", + " self.needs_reshuffle = True\n", + " return self.draw()\n", + " return drawn_item\n", + "\n", + "class Player:\n", + " def __init__(self, name, strategy=\"Human\", starting_chips=1000):\n", + " self.name = name\n", + " self.chips = starting_chips\n", + " self.current_bet = 0\n", + " self.hand = []\n", + " self.strategy = strategy \n", + "\n", + " def receive_card(self, card):\n", + " self.hand.append(card)\n", + "\n", + " def calculate_score(self):\n", + " score = 0\n", + " aces = 0\n", + " for card in self.hand:\n", + " if card.rank in ['J', 'Q', 'K']: score += 10\n", + " elif card.rank == 'A':\n", + " aces += 1\n", + " score += 11\n", + " else: score += int(card.rank)\n", + " \n", + " while score > 21 and aces > 0:\n", + " score -= 10\n", + " aces -= 1\n", + " return score\n", + "\n", + " def clear_hand(self):\n", + " self.hand = []\n", + " self.current_bet = 0\n", + "\n", + " def place_bet(self, true_count=0.0):\n", + " if self.chips <= 0:\n", + " self.current_bet = 0\n", + " return \n", + "\n", + " if self.strategy == \"Human\":\n", + " while True:\n", + " try:\n", + " bet = int(input(f\"{self.name}, you have {self.chips} chips. Enter bet: \"))\n", + " if 0 < bet <= self.chips:\n", + " self.current_bet = bet\n", + " self.chips -= bet\n", + " break\n", + " else: print(\"Invalid amount.\")\n", + " except ValueError: print(\"Please enter a valid number.\")\n", + " elif self.strategy == \"Counter\":\n", + " if true_count >= 2.0: bet = 50 if self.chips >= 50 else self.chips\n", + " else: bet = 10 if self.chips >= 10 else self.chips\n", + " self.current_bet = bet\n", + " self.chips -= bet\n", + " else:\n", + " bet = 10 if self.chips >= 10 else self.chips\n", + " self.current_bet = bet\n", + " self.chips -= bet\n", + "\n", + " # CRITICAL FIX: The base player now officially accepts running_count\n", + " def decide_action(self, dealer_upcard, true_count, running_count=0):\n", + " if self.strategy == \"Human\":\n", + " while True:\n", + " choice = input(f\"Your score is {self.calculate_score()}. Hit or Stand? (h/s): \").lower()\n", + " if choice in ['h', 's']: return \"Hit\" if choice == 'h' else \"Stand\"\n", + " print(\"Invalid input.\")\n", + " elif self.strategy == \"Dealer\":\n", + " if self.calculate_score() < 17: return \"Hit\"\n", + " return \"Stand\"\n", + " elif self.strategy == \"Counter\":\n", + " dealer_val = 10 if dealer_upcard.rank in ['J', 'Q', 'K', 'A'] else int(dealer_upcard.rank)\n", + " score = self.calculate_score()\n", + " if score >= 17: return \"Stand\"\n", + " elif score >= 12 and dealer_val <= 6: return \"Stand\"\n", + " else: return \"Hit\"\n", + "\n", + "class Dealer(Player):\n", + " def __init__(self):\n", + " super().__init__(name=\"Dealer\", strategy=\"Fixed Rules\", starting_chips=0)\n", + " def should_hit(self):\n", + " return self.calculate_score() < 17\n", + "\n", + "class Lab6Player(Player):\n", + " def __init__(self, name, starting_chips=1000, hit_threshold=-1):\n", + " super().__init__(name=name, strategy=\"Count_Action\", starting_chips=starting_chips)\n", + " self.hit_threshold = hit_threshold\n", + "\n", + " def decide_action(self, dealer_upcard, true_count, running_count=0):\n", + " if self.calculate_score() >= 21: return \"Stand\"\n", + " if running_count <= self.hit_threshold: return \"Hit\"\n", + " else: return \"Stand\"\n", + "\n", + "class Game:\n", + " def __init__(self, players_list, decks_in_shoe=6, verbose=True):\n", + " self.deck = Deck(num_decks=decks_in_shoe)\n", + " self.dealer = Dealer()\n", + " self.players = players_list \n", + " self.running_count = 0\n", + " self.true_count = 0.0\n", + " self.verbose = verbose \n", + "\n", + " def update_count(self, card):\n", + " if card.rank in ['2', '3', '4', '5', '6']: self.running_count += 1\n", + " elif card.rank in ['10', 'J', 'Q', 'K', 'A']: self.running_count -= 1\n", + " decks_remaining = max(1, len(self.deck.cards) / 52)\n", + " self.true_count = self.running_count / decks_remaining\n", + "\n", + " def deal_and_count(self, person):\n", + " card = self.deck.draw()\n", + " self.update_count(card)\n", + " person.receive_card(card)\n", + "\n", + " def play_round(self):\n", + " if self.verbose: print(\"\\n--- NEW ROUND ---\")\n", + " if self.deck.needs_reshuffle:\n", + " if self.verbose: print(\"Dealer is shuffling the shoe...\")\n", + " self.deck.build_deck()\n", + " self.deck.shuffle()\n", + " self.running_count = 0 \n", + " self.true_count = 0.0\n", + "\n", + " for player in self.players: \n", + " if player.chips > 0: player.place_bet(self.true_count)\n", + "\n", + " for _ in range(2):\n", + " for player in self.players: \n", + " if player.current_bet > 0: self.deal_and_count(player)\n", + " self.deal_and_count(self.dealer)\n", + "\n", + " if self.verbose: print(f\"Dealer shows: {self.dealer.hand[0]} (Hidden Card)\")\n", + "\n", + " for player in self.players:\n", + " if player.current_bet == 0: continue\n", + " if self.verbose: print(f\"\\n{player.name}'s turn. Hand: {player.hand}\")\n", + " while player.calculate_score() < 21:\n", + " action = player.decide_action(self.dealer.hand[0], self.true_count, self.running_count)\n", + " if action == \"Hit\":\n", + " self.deal_and_count(player)\n", + " if self.verbose: print(f\"Drew a card. Hand: {player.hand}\")\n", + " else: break\n", + " if player.calculate_score() > 21 and self.verbose: print(f\"{player.name} BUSTS!\")\n", + "\n", + " if self.verbose: print(f\"\\nDealer's turn. Hand reveals: {self.dealer.hand}\")\n", + " while self.dealer.should_hit():\n", + " self.deal_and_count(self.dealer)\n", + " if self.verbose: print(f\"Dealer hits. Hand: {self.dealer.hand}\")\n", + "\n", + " dealer_score = self.dealer.calculate_score()\n", + "\n", + " for player in self.players:\n", + " if player.current_bet == 0: continue\n", + " player_score = player.calculate_score()\n", + " if player_score <= 21:\n", + " if dealer_score > 21 or player_score > dealer_score:\n", + " player.chips += (player.current_bet * 2)\n", + " if self.verbose: print(f\"{player.name} WINS!\")\n", + " elif player_score == dealer_score:\n", + " player.chips += player.current_bet\n", + " if self.verbose: print(f\"{player.name} PUSHES.\")\n", + " else: \n", + " if self.verbose: print(f\"{player.name} LOSES.\")\n", + " else:\n", + " if self.verbose: print(f\"{player.name} LOSES.\")\n", + " player.clear_hand()\n", + " \n", + " self.dealer.clear_hand()\n", + "\n", + " def run_simulation(self, num_games=1, target_player_name=None):\n", + " for i in range(1, num_games + 1):\n", + " if target_player_name:\n", + " target_player = next((p for p in self.players if p.name == target_player_name), None)\n", + " if target_player and target_player.chips <= 0:\n", + " print(f\"Simulation stopped early at round {i}: {target_player.name} is out of money!\")\n", + " break\n", + " self.play_round()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -57,6 +483,128 @@ "5. Test. Demonstrate game play. For example, create a game of several dealer players and show that the game is functional through several rounds." ] }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "def place_bet(self):\n", + " \"\"\"Handles betting for both humans and computer players.\"\"\"\n", + " if self.strategy == \"Human\":\n", + " # ... (Keep your existing human input loop here) ...\n", + " pass\n", + " else:\n", + " # Logic: Automated testing. Computer players bet a flat 10 chips \n", + " # so we can easily track their win/loss rate over time.\n", + " if self.chips > 0:\n", + " bet = 10 if self.chips >= 10 else self.chips\n", + " self.current_bet = bet\n", + " self.chips -= bet\n", + "\n", + "def decide_action(self, dealer_upcard, true_count, running_count=0):\n", + " \"\"\"Routes the decision based on the player's assigned strategy.\"\"\"\n", + " if self.strategy == \"Human\":\n", + " # ... (Keep your existing human input loop here) ...\n", + " pass\n", + " elif self.strategy == \"Dealer\":\n", + " # Logic: These players mimic the dealer. They ignore the true_count \n", + " # and dealer_upcard, and simply hit if they are under 17.\n", + " if self.calculate_score() < 17:\n", + " return \"Hit\"\n", + " return \"Stand\"\n", + " \n", + "def __init__(self, players_list, decks_in_shoe=6):\n", + " self.deck = Deck(num_decks=decks_in_shoe)\n", + " self.dealer = Dealer()\n", + " \n", + " # Logic: Instead of hardcoding one human, we pass a list of Player objects\n", + " # so we can test different table compositions (e.g., 3 bots, 1 human).\n", + " self.players = players_list \n", + " \n", + " self.running_count = 0\n", + " self.true_count = 0.0" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting automated test for 3 rounds...\n", + "\n", + "\n", + "--- NEW ROUND ---\n", + "Dealer shows: 4 of Diamonds (Hidden Card)\n", + "\n", + "Bot Alice's turn. Hand: [4 of Clubs, J of Spades]\n", + "\n", + "Bot Bob's turn. Hand: [4 of Diamonds, 2 of Spades]\n", + "\n", + "Bot Charlie's turn. Hand: [9 of Diamonds, 6 of Spades]\n", + "\n", + "Dealer's turn. Hand reveals: [4 of Diamonds, 4 of Clubs]\n", + "Dealer hits. Hand: [4 of Diamonds, 4 of Clubs, 2 of Diamonds]\n", + "Dealer hits. Hand: [4 of Diamonds, 4 of Clubs, 2 of Diamonds, 5 of Clubs]\n", + "Dealer hits. Hand: [4 of Diamonds, 4 of Clubs, 2 of Diamonds, 5 of Clubs, J of Hearts]\n", + "\n", + "--- NEW ROUND ---\n", + "Dealer shows: A of Hearts (Hidden Card)\n", + "\n", + "Bot Alice's turn. Hand: [6 of Clubs, 9 of Spades]\n", + "\n", + "Bot Bob's turn. Hand: [K of Spades, 6 of Hearts]\n", + "\n", + "Bot Charlie's turn. Hand: [2 of Diamonds, 6 of Diamonds]\n", + "\n", + "Dealer's turn. Hand reveals: [A of Hearts, A of Clubs]\n", + "Dealer hits. Hand: [A of Hearts, A of Clubs, Q of Hearts]\n", + "Dealer hits. Hand: [A of Hearts, A of Clubs, Q of Hearts, 7 of Spades]\n", + "\n", + "--- NEW ROUND ---\n", + "Dealer shows: 6 of Clubs (Hidden Card)\n", + "\n", + "Bot Alice's turn. Hand: [A of Spades, Q of Hearts]\n", + "\n", + "Bot Bob's turn. Hand: [9 of Clubs, 6 of Diamonds]\n", + "\n", + "Bot Charlie's turn. Hand: [9 of Spades, K of Clubs]\n", + "\n", + "Dealer's turn. Hand reveals: [6 of Clubs, 2 of Spades]\n", + "Dealer hits. Hand: [6 of Clubs, 2 of Spades, Q of Clubs]\n", + "\n", + "--- FINAL CHIP COUNTS ---\n", + "Bot Alice: 1800 chips\n", + "Bot Bob: 0 chips\n", + "Bot Charlie: 1800 chips\n" + ] + } + ], + "source": [ + "# --- SIMULATION TEST ---\n", + "\n", + "# 1. Create our automated players\n", + "bot_1 = Player(name=\"Bot Alice\", strategy=\"Dealer\", starting_chips=1000)\n", + "bot_2 = Player(name=\"Bot Bob\", strategy=\"Dealer\", starting_chips=1000)\n", + "bot_3 = Player(name=\"Bot Charlie\", strategy=\"Dealer\", starting_chips=1000)\n", + "\n", + "# 2. Initialize the game with these players\n", + "test_table = Game(players_list=[bot_1, bot_2, bot_3], decks_in_shoe=6)\n", + "\n", + "# 3. Run a short simulation to prove it works\n", + "print(\"Starting automated test for 3 rounds...\\n\")\n", + "test_table.run_simulation(num_games=3)\n", + "\n", + "# 4. Print final results to verify chips updated correctly\n", + "print(\"\\n--- FINAL CHIP COUNTS ---\")\n", + "for p in test_table.players:\n", + " print(f\"{p.name}: {p.chips} chips\")" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -71,6 +619,66 @@ " * Hit if sum is very negative, stay if sum is very positive. Select a threshold for hit/stay, e.g. 0 or -2. " ] }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [], + "source": [ + "class Lab6Player(Player):\n", + " def __init__(self, name, starting_chips=1000, hit_threshold=-1):\n", + " # Call the parent __init__ to set up the hand, chips, etc.\n", + " super().__init__(name=name, strategy=\"Count_Action\", starting_chips=starting_chips)\n", + " \n", + " # Storing the threshold so we can easily test different values later (like 0 or -2)\n", + " self.hit_threshold = hit_threshold\n", + "\n", + " def decide_action(self, dealer_upcard, true_count, running_count=0):\n", + " \"\"\"\n", + " LAB 6 STRATEGY: \n", + " Ignore the dealer's card and our own hand score (mostly).\n", + " Hit if the sum is very negative, stay if very positive.\n", + " \"\"\"\n", + " # Absolute safeguard: It is mathematically useless to hit on a 21 or higher.\n", + " if self.calculate_score() >= 21:\n", + " return \"Stand\"\n", + " \n", + " # The core Lab 6 logic: Compare the running count sum to our threshold\n", + " if running_count <= self.hit_threshold:\n", + " return \"Hit\"\n", + " else:\n", + " return \"Stand\"" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "--- NEW ROUND ---\n", + "Dealer shows: 10 of Diamonds (Hidden Card)\n", + "\n", + "Q6 Bot's turn. Hand: [J of Spades, 6 of Diamonds]\n", + "Drew a card. Hand: [J of Spades, 6 of Diamonds, 3 of Hearts]\n", + "\n", + "Dealer's turn. Hand reveals: [10 of Diamonds, Q of Clubs]\n", + "Q6 Bot LOSES.\n" + ] + } + ], + "source": [ + "count_bot = Lab6Player(name=\"Q6 Bot\", hit_threshold=-2)\n", + "\n", + "# Load it into a game and play just ONE round to see the prints\n", + "q6_table = Game(players_list=[count_bot], decks_in_shoe=6)\n", + "q6_table.run_simulation(num_games=1)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -78,6 +686,159 @@ "7. Create a test scenario where one player, using the above strategy, is playing with a dealer and 3 other players that follow the dealer's strategy. Each player starts with same number of chips. Play 50 rounds (or until the strategy player is out of money). Compute the strategy player's winnings. You may remove unnecessary printouts from your code (perhaps implement a verbose/quiet mode) to reduce the output." ] }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "class Game:\n", + " # 1. Added the verbose parameter here\n", + " def __init__(self, players_list, decks_in_shoe=6, verbose=True):\n", + " self.deck = Deck(num_decks=decks_in_shoe)\n", + " self.dealer = Dealer()\n", + " self.players = players_list \n", + " self.running_count = 0\n", + " self.true_count = 0.0\n", + " self.verbose = verbose \n", + "\n", + " def update_count(self, card):\n", + " if card.rank in ['2', '3', '4', '5', '6']: self.running_count += 1\n", + " elif card.rank in ['10', 'J', 'Q', 'K', 'A']: self.running_count -= 1\n", + " decks_remaining = max(1, len(self.deck.cards) / 52)\n", + " self.true_count = self.running_count / decks_remaining\n", + "\n", + " def deal_and_count(self, person):\n", + " card = self.deck.draw()\n", + " self.update_count(card)\n", + " person.receive_card(card)\n", + "\n", + " def play_round(self):\n", + " # 2. Wrapped print statements in \"if self.verbose:\" checks\n", + " if self.verbose: print(\"\\n--- NEW ROUND ---\")\n", + " \n", + " if self.deck.needs_reshuffle:\n", + " if self.verbose: print(\"Dealer is shuffling the shoe...\")\n", + " self.deck.build_deck()\n", + " self.deck.shuffle()\n", + " self.running_count = 0 \n", + " self.true_count = 0.0\n", + "\n", + " for player in self.players: \n", + " player.place_bet(self.true_count)\n", + "\n", + " for _ in range(2):\n", + " for player in self.players: self.deal_and_count(player)\n", + " self.deal_and_count(self.dealer)\n", + "\n", + " if self.verbose: print(f\"Dealer shows: {self.dealer.hand[0]} (Hidden Card)\")\n", + "\n", + " for player in self.players:\n", + " if self.verbose: print(f\"\\n{player.name}'s turn. Hand: {player.hand}\")\n", + " while player.calculate_score() < 21:\n", + " action = player.decide_action(self.dealer.hand[0], self.true_count, self.running_count)\n", + " if action == \"Hit\":\n", + " self.deal_and_count(player)\n", + " if self.verbose: print(f\"Drew a card. Hand: {player.hand}\")\n", + " else: break\n", + " if player.calculate_score() > 21:\n", + " if self.verbose: print(f\"{player.name} BUSTS!\")\n", + "\n", + " if self.verbose: print(f\"\\nDealer's turn. Hand reveals: {self.dealer.hand}\")\n", + " while self.dealer.should_hit():\n", + " self.deal_and_count(self.dealer)\n", + " if self.verbose: print(f\"Dealer hits. Hand: {self.dealer.hand}\")\n", + "\n", + " dealer_score = self.dealer.calculate_score()\n", + "\n", + " for player in self.players:\n", + " player_score = player.calculate_score()\n", + " if player_score <= 21:\n", + " if dealer_score > 21 or player_score > dealer_score:\n", + " player.chips += (player.current_bet * 2)\n", + " if self.verbose: print(f\"{player.name} WINS!\")\n", + " elif player_score == dealer_score:\n", + " player.chips += player.current_bet\n", + " if self.verbose: print(f\"{player.name} PUSHES.\")\n", + " else: \n", + " if self.verbose: print(f\"{player.name} LOSES.\")\n", + " else:\n", + " if self.verbose: print(f\"{player.name} LOSES.\")\n", + " player.clear_hand()\n", + " \n", + " self.dealer.clear_hand()\n", + "\n", + " # 3. Updated simulation loop to check for bankruptcy\n", + " def run_simulation(self, num_games=1, target_player_name=None):\n", + " for i in range(1, num_games + 1):\n", + " # If a target player is provided, check if they are broke before dealing\n", + " if target_player_name:\n", + " target_player = next((p for p in self.players if p.name == target_player_name), None)\n", + " if target_player and target_player.chips <= 0:\n", + " print(f\"Simulation stopped early at round {i}: {target_player.name} is out of money!\")\n", + " break\n", + " \n", + " self.play_round()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting 50-round simulation... (Quiet Mode Active)\n", + "\n", + "--- FINAL RESULTS AFTER 50 ROUNDS ---\n", + "Dealer Bot 1:\n", + " Ending Chips: 930\n", + " Net Winnings: -70 chips\n", + "\n", + "Dealer Bot 2:\n", + " Ending Chips: 830\n", + " Net Winnings: -170 chips\n", + "\n", + "Dealer Bot 3:\n", + " Ending Chips: 950\n", + " Net Winnings: -50 chips\n", + "\n", + "Strategy Player:\n", + " Ending Chips: 790\n", + " Net Winnings: -210 chips\n", + "\n" + ] + } + ], + "source": [ + "# --- STEP 7: TEST SCENARIO ---\n", + "\n", + "# 1. Create the players (Each starts with exactly 1000 chips)\n", + "bot_1 = Player(name=\"Dealer Bot 1\", strategy=\"Dealer\", starting_chips=1000)\n", + "bot_2 = Player(name=\"Dealer Bot 2\", strategy=\"Dealer\", starting_chips=1000)\n", + "bot_3 = Player(name=\"Dealer Bot 3\", strategy=\"Dealer\", starting_chips=1000)\n", + "\n", + "# The Lab 6 Strategy Player. We will use a threshold of 0 for this test.\n", + "strat_player = Lab6Player(name=\"Strategy Player\", starting_chips=1000, hit_threshold=0)\n", + "\n", + "# 2. Initialize the game table. Note that we set verbose=False!\n", + "q7_table = Game(players_list=[bot_1, bot_2, bot_3, strat_player], decks_in_shoe=6, verbose=False)\n", + "\n", + "# 3. Play 50 rounds, targeting our Strategy Player for the bankruptcy check\n", + "print(\"Starting 50-round simulation... (Quiet Mode Active)\\n\")\n", + "q7_table.run_simulation(num_games=50, target_player_name=\"Strategy Player\")\n", + "\n", + "# 4. Compute and print the final winnings\n", + "print(\"--- FINAL RESULTS AFTER 50 ROUNDS ---\")\n", + "for p in q7_table.players:\n", + " winnings = p.chips - 1000\n", + " print(f\"{p.name}:\")\n", + " print(f\" Ending Chips: {p.chips}\")\n", + " print(f\" Net Winnings: {winnings} chips\\n\")" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -85,6 +846,122 @@ "8. Create a loop that runs 100 games of 50 rounds, as setup in previous question, and store the strategy player's chips at the end of the game (aka \"winnings\") in a list. Histogram the winnings. What is the average winnings per round? What is the standard deviation. What is the probabilty of net winning or lossing after 50 rounds?\n" ] }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Running 100 games of 50 rounds each... Please wait.\n", + "\n", + "--- FINAL STATISTICAL REPORT ---\n", + "Average Winnings (Per 50-Round Game): -208.60 chips\n", + "Average Winnings (PER ROUND): -4.17 chips\n", + "Standard Deviation of Winnings: 67.25 chips\n", + "Probability of a Net Win: 0.0%\n", + "Probability of a Net Loss: 100.0%\n", + "Probability of Breaking Even: 0.0%\n", + "\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "# --- 1. THE MONTE CARLO LOOP ---\n", + "num_simulations = 100\n", + "rounds_per_game = 50\n", + "winnings_list = []\n", + "\n", + "print(f\"Running {num_simulations} games of {rounds_per_game} rounds each... Please wait.\\n\")\n", + "\n", + "for _ in range(num_simulations):\n", + " # CRITICAL LOGIC: We MUST re-instantiate the players inside the loop. \n", + " # If we don't, they will carry their chip counts over from the previous game!\n", + " # We need everyone starting fresh with exactly 1000 chips.\n", + " bot_1 = Player(name=\"Dealer Bot 1\", strategy=\"Dealer\", starting_chips=1000)\n", + " bot_2 = Player(name=\"Dealer Bot 2\", strategy=\"Dealer\", starting_chips=1000)\n", + " bot_3 = Player(name=\"Dealer Bot 3\", strategy=\"Dealer\", starting_chips=1000)\n", + " strat_player = Lab6Player(name=\"Strategy Player\", starting_chips=1000, hit_threshold=0)\n", + " \n", + " # Initialize the table in quiet mode\n", + " q8_table = Game(players_list=[bot_1, bot_2, bot_3, strat_player], decks_in_shoe=6, verbose=False)\n", + " \n", + " # Run the 50 rounds\n", + " q8_table.run_simulation(num_games=rounds_per_game, target_player_name=\"Strategy Player\")\n", + " \n", + " # Record the net winnings (ending chips minus starting chips)\n", + " net_winnings = strat_player.chips - 1000\n", + " winnings_list.append(net_winnings)\n", + "\n", + "# --- 2. STATISTICAL ANALYSIS ---\n", + "# Convert our list to a numpy array for easy mathematical calculations\n", + "winnings_array = np.array(winnings_list)\n", + "\n", + "# 1. Average winnings per game, and per round\n", + "avg_winnings_per_game = np.mean(winnings_array)\n", + "avg_winnings_per_round = avg_winnings_per_game / rounds_per_game \n", + "\n", + "# 2. Standard Deviation\n", + "std_dev = np.std(winnings_array)\n", + "\n", + "# 3. Probabilities (Counting outcomes and dividing by total games)\n", + "prob_winning = np.sum(winnings_array > 0) / num_simulations\n", + "prob_losing = np.sum(winnings_array < 0) / num_simulations\n", + "prob_breaking_even = np.sum(winnings_array == 0) / num_simulations\n", + "\n", + "# Print the final report\n", + "print(\"--- FINAL STATISTICAL REPORT ---\")\n", + "print(f\"Average Winnings (Per 50-Round Game): {avg_winnings_per_game:.2f} chips\")\n", + "print(f\"Average Winnings (PER ROUND): {avg_winnings_per_round:.2f} chips\")\n", + "print(f\"Standard Deviation of Winnings: {std_dev:.2f} chips\")\n", + "print(f\"Probability of a Net Win: {prob_winning * 100:.1f}%\")\n", + "print(f\"Probability of a Net Loss: {prob_losing * 100:.1f}%\")\n", + "print(f\"Probability of Breaking Even: {prob_breaking_even * 100:.1f}%\\n\")\n", + "\n", + "# --- 3. HISTOGRAM GENERATION ---\n", + "plt.figure(figsize=(10, 6))\n", + "# Using 15 bins to get a nice distribution curve\n", + "plt.hist(winnings_list, bins=15, color='cornflowerblue', edgecolor='black')\n", + "\n", + "# Adding lines to easily visualize the mean and the break-even point\n", + "plt.axvline(avg_winnings_per_game, color='red', linestyle='dashed', linewidth=2, label=f'Mean Winnings: {avg_winnings_per_game:.2f}')\n", + "plt.axvline(0, color='green', linestyle='dashed', linewidth=2, label='Break Even (0)')\n", + "\n", + "plt.title('Histogram of Lab 6 Strategy Player Winnings\\n(100 Games, 50 Rounds Each)')\n", + "plt.xlabel('Net Winnings (Chips)')\n", + "plt.ylabel('Frequency (Number of Games)')\n", + "plt.legend()\n", + "plt.grid(axis='y', alpha=0.75)\n", + "\n", + "# Display the chart\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

Conclusion & Analysis

\n", + "\n", + "\n", + "The Monte Carlo simulation of 100 games demonstrates that the custom card-counting strategy outlined in Step 6 yields a negative expected value, with the average net winnings consistently falling below the break-even point. While tracking the running count provides valuable information about deck composition, strictly dictating hit/stay actions based solely on a count threshold—while completely ignoring the player's current hand total and the dealer's upcard—leads to mathematically unfavorable decisions, such as standing on a low total or hitting on a 19. Ultimately, this data proves that while card counting is an effective tool for adjusting bet sizes, it cannot profitably replace standard Basic Strategy for actual gameplay decisions." + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -92,19 +969,281 @@ "9. Repeat previous questions scanning the value of the threshold. Try at least 5 different threshold values. Can you find an optimal value?" ] }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Starting threshold scan. Testing 5 values...\n", + "Threshold -4: Average Net Winnings = -138.70 chips\n", + "Threshold -2: Average Net Winnings = -183.90 chips\n", + "Threshold 0: Average Net Winnings = -205.60 chips\n", + "Threshold 2: Average Net Winnings = -246.80 chips\n", + "Threshold 4: Average Net Winnings = -272.80 chips\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "CONCLUSION: The 'optimal' threshold found is -4, yielding -138.70 chips on average.\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "\n", + "thresholds_to_test = [-4, -2, 0, 2, 4] \n", + "num_simulations = 100\n", + "rounds_per_game = 50\n", + "\n", + "# Dictionary to store the average winnings for each threshold\n", + "results = {}\n", + "\n", + "print(f\"Starting threshold scan. Testing {len(thresholds_to_test)} values...\")\n", + "for threshold in thresholds_to_test:\n", + " # print(f\"Testing threshold: {threshold}...\")\n", + " winnings_for_this_threshold = []\n", + " \n", + " for _ in range(num_simulations):\n", + " # We must re-initialize the table with fresh players for EVERY single game\n", + " bot_1 = Player(name=\"Dealer Bot 1\", strategy=\"Dealer\", starting_chips=1000)\n", + " bot_2 = Player(name=\"Dealer Bot 2\", strategy=\"Dealer\", starting_chips=1000)\n", + " bot_3 = Player(name=\"Dealer Bot 3\", strategy=\"Dealer\", starting_chips=1000)\n", + " \n", + " # NOTE: We pass the current 'threshold' variable from our outer loop into the bot!\n", + " strat_player = Lab6Player(name=\"Strategy Player\", starting_chips=1000, hit_threshold=threshold)\n", + " \n", + " # Set up and run the game quietly\n", + " q9_table = Game(players_list=[bot_1, bot_2, bot_3, strat_player], decks_in_shoe=6, verbose=False)\n", + " q9_table.run_simulation(num_games=rounds_per_game, target_player_name=\"Strategy Player\")\n", + " \n", + " # Record net winnings\n", + " winnings_for_this_threshold.append(strat_player.chips - 1000)\n", + " \n", + " # Calculate the average winnings for this specific threshold and save it to the dictionary\n", + " avg_win = np.mean(winnings_for_this_threshold)\n", + " results[threshold] = avg_win\n", + " print(f\"Threshold {threshold:>2}: Average Net Winnings = {avg_win:.2f} chips\")\n", + "\n", + "# --- PLOTTING THE RESULTS ---\n", + "# Extract data for our line graph\n", + "x_values = list(results.keys())\n", + "y_values = list(results.values())\n", + "\n", + "plt.figure(figsize=(10, 6))\n", + "plt.plot(x_values, y_values, marker='o', linestyle='-', color='purple', linewidth=2, markersize=8)\n", + "\n", + "# Programmatically find the \"optimal\" (maximum) value in our dictionary\n", + "optimal_threshold = max(results, key=results.get)\n", + "best_avg = results[optimal_threshold]\n", + "\n", + "# Highlight the optimal value on the graph with a gold star/dot\n", + "plt.scatter([optimal_threshold], [best_avg], color='gold', s=200, zorder=5, label=f'Optimal: {optimal_threshold} ({best_avg:.1f} chips)')\n", + "plt.axhline(0, color='red', linestyle='dashed', alpha=0.5, label='Break Even (0)')\n", + "\n", + "plt.title('Average Winnings vs. Hit Threshold\\n(100 Games of 50 Rounds per Threshold)')\n", + "plt.xlabel('Hit Threshold Value')\n", + "plt.ylabel('Average Net Winnings (Chips)')\n", + "plt.xticks(thresholds_to_test)\n", + "plt.grid(True, alpha=0.3)\n", + "plt.legend()\n", + "\n", + "# Display the final chart\n", + "plt.show()\n", + "\n", + "print(f\"\\nCONCLUSION: The 'optimal' threshold found is {optimal_threshold}, yielding {best_avg:.2f} chips on average.\")" + ] + }, { "cell_type": "markdown", "metadata": {}, "source": [ "10. Create a new strategy based on web searches or your own ideas. Demonstrate that the new strategy will result in increased or decreased winnings. " ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "

The Strategy: Martingale

\n", + "\n", + "\n", + "Instead of changing how we play our cards, we are going to change how we bet.\n", + "The rule of Martingale is simple: Double your bet after every loss, and reset to your base bet after a win. In theory, the logic sounds foolproof: if you keep doubling your bet, your eventual win will recover all previous losses plus a small profit. However, in reality (and in our simulation), a long losing streak will cause your bets to grow exponentially until you completely run out of chips." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [], + "source": [ + "class MartingalePlayer(Player):\n", + " def __init__(self, name, starting_chips=1000, base_bet=10):\n", + " # Initialize using the parent class\n", + " super().__init__(name=name, strategy=\"Martingale\", starting_chips=starting_chips)\n", + " \n", + " # New state variables specifically for the Martingale strategy\n", + " self.base_bet = base_bet\n", + " self.last_bet = base_bet\n", + " self.last_chips = starting_chips \n", + " self.first_bet_made = False\n", + "\n", + " def place_bet(self, true_count=0.0):\n", + " if self.chips <= 0:\n", + " self.current_bet = 0\n", + " return\n", + "\n", + " # Logic: Check if our chips went down since the start of the last round\n", + " if not self.first_bet_made:\n", + " bet = self.base_bet\n", + " self.first_bet_made = True\n", + " else:\n", + " if self.chips < self.last_chips:\n", + " # We lost the last hand! Double the bet.\n", + " bet = self.last_bet * 2\n", + " else:\n", + " # We won or pushed. Reset to base bet.\n", + " bet = self.base_bet\n", + "\n", + " # Safeguard: You can't bet more chips than you currently have (going \"all in\")\n", + " bet = min(bet, self.chips)\n", + "\n", + " # Update our tracking variables BEFORE deducting the new bet\n", + " self.last_chips = self.chips\n", + " self.last_bet = bet\n", + " \n", + " self.current_bet = bet\n", + " self.chips -= bet\n", + "\n", + " def decide_action(self, dealer_upcard, true_count, running_count=0):\n", + " # We will use standard Simplified Basic Strategy for playing the cards, \n", + " # so we can isolate and test just the betting strategy.\n", + " dealer_val = 10 if dealer_upcard.rank in ['J', 'Q', 'K', 'A'] else int(dealer_upcard.rank)\n", + " score = self.calculate_score()\n", + " \n", + " if score >= 17: return \"Stand\"\n", + " elif score >= 12 and dealer_val <= 6: return \"Stand\"\n", + " else: return \"Hit\"" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Simulating 100 games to compare Martingale vs. Flat Betting... \n", + "\n", + "--- RESULTS AFTER 100 GAMES ---\n", + "MARTINGALE STRATEGY:\n", + " Average Net Winnings: -136.10 chips\n", + " Bankruptcy Rate: 20.0%\n", + " Win Rate (Finished with >1000 chips): 62.0%\n", + "\n", + "CONTROL STRATEGY (Flat Betting):\n", + " Average Net Winnings: -35.40 chips\n", + " Bankruptcy Rate: 0.0%\n", + " Win Rate (Finished with >1000 chips): 37.0%\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "num_simulations = 100\n", + "rounds_per_game = 50\n", + "\n", + "martingale_winnings = []\n", + "basic_winnings = []\n", + "\n", + "print(\"Simulating 100 games to compare Martingale vs. Flat Betting... \\n\")\n", + "\n", + "for _ in range(num_simulations):\n", + " # 1. The Martingale Player\n", + " marty = MartingalePlayer(name=\"Marty (Martingale)\", starting_chips=1000)\n", + " \n", + " # 2. A Control Player (Uses the exact same playing strategy, but flat bets 10 chips)\n", + " control = Player(name=\"Control (Flat Bet)\", strategy=\"Counter\", starting_chips=1000)\n", + " \n", + " # Load them into the game\n", + " q10_table = Game(players_list=[marty, control], decks_in_shoe=6, verbose=False)\n", + " q10_table.run_simulation(num_games=rounds_per_game)\n", + " \n", + " # Record the net winnings\n", + " martingale_winnings.append(marty.chips - 1000)\n", + " basic_winnings.append(control.chips - 1000)\n", + "\n", + "# --- STATISTICAL ANALYSIS ---\n", + "marty_array = np.array(martingale_winnings)\n", + "control_array = np.array(basic_winnings)\n", + "\n", + "print(\"--- RESULTS AFTER 100 GAMES ---\")\n", + "print(\"MARTINGALE STRATEGY:\")\n", + "print(f\" Average Net Winnings: {np.mean(marty_array):.2f} chips\")\n", + "print(f\" Bankruptcy Rate: {(np.sum(marty_array <= -1000) / num_simulations) * 100:.1f}%\")\n", + "print(f\" Win Rate (Finished with >1000 chips): {(np.sum(marty_array > 0) / num_simulations) * 100:.1f}%\\n\")\n", + "\n", + "print(\"CONTROL STRATEGY (Flat Betting):\")\n", + "print(f\" Average Net Winnings: {np.mean(control_array):.2f} chips\")\n", + "print(f\" Bankruptcy Rate: {(np.sum(control_array <= -1000) / num_simulations) * 100:.1f}%\")\n", + "print(f\" Win Rate (Finished with >1000 chips): {(np.sum(control_array > 0) / num_simulations) * 100:.1f}%\")\n", + "\n", + "# --- PLOTTING THE COMPARISON ---\n", + "plt.figure(figsize=(12, 6))\n", + "\n", + "# Plot both histograms on top of each other with transparency (alpha)\n", + "plt.hist(basic_winnings, bins=20, alpha=0.6, color='gray', label='Control (Flat Bet)')\n", + "plt.hist(martingale_winnings, bins=20, alpha=0.7, color='orange', edgecolor='black', label='Martingale')\n", + "\n", + "plt.axvline(0, color='green', linestyle='dashed', linewidth=2, label='Break Even (0)')\n", + "plt.title('Martingale Betting Strategy vs. Flat Betting\\n(100 Games, 50 Rounds Each)')\n", + "plt.xlabel('Net Winnings (Chips)')\n", + "plt.ylabel('Frequency (Games)')\n", + "plt.legend()\n", + "plt.grid(axis='y', alpha=0.5)\n", + "\n", + "plt.show()" + ] } ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python (ds)", "language": "python", - "name": "python3" + "name": "ds" }, "language_info": { "codemirror_mode": { @@ -116,7 +1255,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.12" + "version": "3.11.14" } }, "nbformat": 4, diff --git a/Labs/Lab.6/lab-6-uml.pdf b/Labs/Lab.6/lab-6-uml.pdf new file mode 100644 index 00000000..8a3e05ad Binary files /dev/null and b/Labs/Lab.6/lab-6-uml.pdf differ diff --git a/Labs/Lab.7/.DS_Store b/Labs/Lab.7/.DS_Store new file mode 100644 index 00000000..633d210b Binary files /dev/null and b/Labs/Lab.7/.DS_Store differ diff --git a/Labs/Lab.7/Lab.7.ipynb b/Labs/Lab.7/Lab.7.ipynb index fc43826b..d0825536 100644 --- a/Labs/Lab.7/Lab.7.ipynb +++ b/Labs/Lab.7/Lab.7.ipynb @@ -54,14 +54,24 @@ "cell_type": "code", "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " % Total % Received % Xferd Average Speed Time Time Time Current\n", + " Dload Upload Total Spent Left Speed\n", + "100 879M 0 879M 0 0 3880k 0 --:--:-- 0:03:52 --:--:-- 11.8M\n" + ] + } + ], "source": [ - "#!curl http://archive.ics.uci.edu/ml/machine-learning-databases/00279/SUSY.csv.gz > SUSY.csv.gz" + "!curl http://archive.ics.uci.edu/ml/machine-learning-databases/00279/SUSY.csv.gz > SUSY.csv.gz" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -70,27 +80,38 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ - "#!gunzip SUSY.csv.gz" + "#!rm SUSY.csv" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": {}, + "outputs": [], + "source": [ + "!gunzip SUSY.csv.gz" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": { + "scrolled": true + }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "total 5151704\n", - "-rw-------@ 1 afarbin staff 16K Mar 27 11:51 Lab.7.ipynb\n", - "-rw-r--r--@ 1 afarbin staff 8.0M Mar 20 12:18 Lab.7.pdf\n", - "-rw-r--r--@ 1 afarbin staff 228M Mar 20 13:50 SUSY-small.csv\n", - "-rw-r--r--@ 1 afarbin staff 2.2G Mar 20 11:36 SUSY.csv\n" + "total 4694624\n", + "-rw-r--r-- 1 subhamkalwar staff 25K Apr 3 20:43 Lab.7.ipynb\n", + "-rw-r--r--@ 1 subhamkalwar staff 8.0M Mar 20 17:43 Lab.7.pdf\n", + "-rw-r--r-- 1 subhamkalwar staff 0B Apr 3 20:40 SUSY-small.csv\n", + "-rw-r--r-- 1 subhamkalwar staff 2.2G Apr 3 20:45 SUSY.csv\n" ] } ], @@ -107,7 +128,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -141,18 +162,18 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "total 5151704\n", - "-rw-------@ 1 afarbin staff 16K Mar 27 11:51 Lab.7.ipynb\n", - "-rw-r--r--@ 1 afarbin staff 8.0M Mar 20 12:18 Lab.7.pdf\n", - "-rw-r--r--@ 1 afarbin staff 228M Mar 20 13:50 SUSY-small.csv\n", - "-rw-r--r--@ 1 afarbin staff 2.2G Mar 20 11:36 SUSY.csv\n" + "total 4694624\n", + "-rw-r--r-- 1 subhamkalwar staff 25K Apr 3 20:43 Lab.7.ipynb\n", + "-rw-r--r--@ 1 subhamkalwar staff 8.0M Mar 20 17:43 Lab.7.pdf\n", + "-rw-r--r-- 1 subhamkalwar staff 0B Apr 3 20:40 SUSY-small.csv\n", + "-rw-r--r-- 1 subhamkalwar staff 2.2G Apr 3 20:45 SUSY.csv\n" ] } ], @@ -169,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -193,7 +214,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -202,18 +223,18 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "total 5176496\n", - "-rw-------@ 1 afarbin staff 16K Mar 27 11:51 Lab.7.ipynb\n", - "-rw-r--r--@ 1 afarbin staff 8.0M Mar 20 12:18 Lab.7.pdf\n", - "-rw-r--r--@ 1 afarbin staff 228M Mar 27 12:56 SUSY-small.csv\n", - "-rw-r--r--@ 1 afarbin staff 2.2G Mar 20 11:36 SUSY.csv\n" + "total 5186272\n", + "-rw-r--r-- 1 subhamkalwar staff 25K Apr 3 20:43 Lab.7.ipynb\n", + "-rw-r--r--@ 1 subhamkalwar staff 8.0M Mar 20 17:43 Lab.7.pdf\n", + "-rw-r--r-- 1 subhamkalwar staff 228M Apr 3 20:47 SUSY-small.csv\n", + "-rw-r--r-- 1 subhamkalwar staff 2.2G Apr 3 20:45 SUSY.csv\n" ] } ], @@ -223,7 +244,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -256,7 +277,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [], "source": [ @@ -272,7 +293,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -282,7 +303,7 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -298,7 +319,7 @@ " 'MET_phi']" ] }, - "execution_count": 13, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" } @@ -309,25 +330,25 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "['R',\n", - " 'dPhi_r_b',\n", - " 'MT2',\n", - " 'cos_theta_r1',\n", + "['MET_rel',\n", + " 'axial_MET',\n", " 'M_TR_2',\n", - " 'M_Delta_R',\n", - " 'MET_rel',\n", - " 'S_R',\n", " 'M_R',\n", - " 'axial_MET']" + " 'R',\n", + " 'MT2',\n", + " 'S_R',\n", + " 'dPhi_r_b',\n", + " 'cos_theta_r1',\n", + " 'M_Delta_R']" ] }, - "execution_count": 14, + "execution_count": 13, "metadata": {}, "output_type": "execute_result" } @@ -345,7 +366,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 14, "metadata": {}, "outputs": [], "source": [ @@ -363,11 +384,11 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ - "filename = \"SUSY.csv\"\n", + "filename = \"SUSY-small.csv\"\n", "df = pd.read_csv(filename, dtype='float64', names=VarNames)" ] }, @@ -380,7 +401,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 16, "metadata": {}, "outputs": [ { @@ -559,164 +580,164 @@ " ...\n", " \n", " \n", - " 4999995\n", - " 1.0\n", - " 0.853325\n", - " -0.961783\n", - " -1.487277\n", - " 0.678190\n", - " 0.493580\n", - " 1.647969\n", - " 1.843867\n", - " 0.276954\n", - " 1.025105\n", - " -1.486535\n", - " 0.892879\n", - " 1.684429\n", - " 1.674084\n", - " 3.366298\n", - " 1.046707\n", - " 2.646649\n", - " 1.389226\n", - " 0.364599\n", - " \n", - " \n", - " 4999996\n", + " 499995\n", " 0.0\n", - " 0.951581\n", - " 0.139370\n", - " 1.436884\n", - " 0.880440\n", - " -0.351948\n", - " -0.740852\n", - " 0.290863\n", - " -0.732360\n", - " 0.001360\n", - " 0.257738\n", - " 0.802871\n", - " 0.545319\n", - " 0.602730\n", - " 0.002998\n", - " 0.748959\n", - " 0.401166\n", - " 0.443471\n", - " 0.239953\n", + " 0.719035\n", + " 1.091879\n", + " 0.291540\n", + " 1.205962\n", + " -1.599117\n", + " -1.139445\n", + " 0.424546\n", + " 1.154849\n", + " 0.637185\n", + " -0.091178\n", + " 1.972156\n", + " 0.697028\n", + " 0.313636\n", + " 0.988602\n", + " 1.981573\n", + " 0.744828\n", + " 1.095080\n", + " 0.006546\n", " \n", " \n", - " 4999997\n", - " 0.0\n", - " 0.840389\n", - " 1.419162\n", - " -1.218766\n", - " 1.195631\n", - " 1.695645\n", - " 0.663756\n", - " 0.490888\n", - " -0.509186\n", - " 0.704289\n", - " 0.045744\n", - " 0.825015\n", - " 0.723530\n", - " 0.778236\n", - " 0.752942\n", - " 0.838953\n", - " 0.614048\n", - " 1.210595\n", - " 0.026692\n", + " 499996\n", + " 1.0\n", + " 0.910016\n", + " -0.364544\n", + " -0.777120\n", + " 0.543648\n", + " -0.910632\n", + " -1.723707\n", + " 2.864673\n", + " 1.458272\n", + " 2.176558\n", + " -0.590911\n", + " 0.673695\n", + " 1.662140\n", + " 2.189362\n", + " 1.195041\n", + " 0.910815\n", + " 1.181893\n", + " 1.252362\n", + " 0.826035\n", " \n", " \n", - " 4999998\n", + " 499997\n", " 1.0\n", - " 1.784218\n", - " -0.833565\n", - " -0.560091\n", - " 0.953342\n", - " -0.688969\n", - " -1.428233\n", - " 2.660703\n", - " -0.861344\n", - " 2.116892\n", - " 2.906151\n", - " 1.232334\n", - " 0.952444\n", - " 0.685846\n", - " 0.000000\n", - " 0.781874\n", - " 0.676003\n", - " 1.197807\n", - " 0.093689\n", + " 0.842954\n", + " 0.332476\n", + " -1.048564\n", + " 1.347989\n", + " 0.320496\n", + " -0.666358\n", + " 0.450433\n", + " -0.411872\n", + " 0.293407\n", + " 0.630491\n", + " 0.859920\n", + " 0.403371\n", + " 0.416258\n", + " 0.591989\n", + " 0.372003\n", + " 0.716788\n", + " 0.366991\n", + " 0.265798\n", " \n", " \n", - " 4999999\n", + " 499998\n", " 0.0\n", - " 0.761500\n", - " 0.680454\n", - " -1.186213\n", - " 1.043521\n", - " -0.316755\n", - " 0.246879\n", - " 1.120280\n", - " 0.998479\n", - " 1.640881\n", - " -0.797688\n", - " 0.854212\n", - " 1.121858\n", - " 1.165438\n", - " 1.498351\n", - " 0.931580\n", - " 1.293524\n", - " 1.539167\n", - " 0.187496\n", + " 1.370760\n", + " -1.162912\n", + " 0.893499\n", + " 2.118091\n", + " 1.248496\n", + " -0.887211\n", + " 0.164659\n", + " 0.316840\n", + " 0.215165\n", + " 0.280418\n", + " 3.087083\n", + " 0.526929\n", + " 0.151467\n", + " 0.308067\n", + " 3.098183\n", + " 0.233042\n", + " 0.876216\n", + " 0.000593\n", + " \n", + " \n", + " 499999\n", + " 0.0\n", + " 0.762400\n", + " 0.440924\n", + " 0.342885\n", + " 1.034283\n", + " 1.740353\n", + " -1.083314\n", + " 0.872145\n", + " -1.519894\n", + " 0.284328\n", + " -0.360861\n", + " 0.956828\n", + " 0.965979\n", + " 0.895881\n", + " 1.020396\n", + " 0.996446\n", + " 0.943458\n", + " 1.299870\n", + " 0.197220\n", " \n", " \n", "\n", - "

5000000 rows × 19 columns

\n", + "

500000 rows × 19 columns

\n", "" ], "text/plain": [ - " signal l_1_pT l_1_eta l_1_phi l_2_pT l_2_eta l_2_phi \\\n", - "0 0.0 0.972861 0.653855 1.176225 1.157156 -1.739873 -0.874309 \n", - "1 1.0 1.667973 0.064191 -1.225171 0.506102 -0.338939 1.672543 \n", - "2 1.0 0.444840 -0.134298 -0.709972 0.451719 -1.613871 -0.768661 \n", - "3 1.0 0.381256 -0.976145 0.693152 0.448959 0.891753 -0.677328 \n", - "4 1.0 1.309996 -0.690089 -0.676259 1.589283 -0.693326 0.622907 \n", - "... ... ... ... ... ... ... ... \n", - "4999995 1.0 0.853325 -0.961783 -1.487277 0.678190 0.493580 1.647969 \n", - "4999996 0.0 0.951581 0.139370 1.436884 0.880440 -0.351948 -0.740852 \n", - "4999997 0.0 0.840389 1.419162 -1.218766 1.195631 1.695645 0.663756 \n", - "4999998 1.0 1.784218 -0.833565 -0.560091 0.953342 -0.688969 -1.428233 \n", - "4999999 0.0 0.761500 0.680454 -1.186213 1.043521 -0.316755 0.246879 \n", + " signal l_1_pT l_1_eta l_1_phi l_2_pT l_2_eta l_2_phi \\\n", + "0 0.0 0.972861 0.653855 1.176225 1.157156 -1.739873 -0.874309 \n", + "1 1.0 1.667973 0.064191 -1.225171 0.506102 -0.338939 1.672543 \n", + "2 1.0 0.444840 -0.134298 -0.709972 0.451719 -1.613871 -0.768661 \n", + "3 1.0 0.381256 -0.976145 0.693152 0.448959 0.891753 -0.677328 \n", + "4 1.0 1.309996 -0.690089 -0.676259 1.589283 -0.693326 0.622907 \n", + "... ... ... ... ... ... ... ... \n", + "499995 0.0 0.719035 1.091879 0.291540 1.205962 -1.599117 -1.139445 \n", + "499996 1.0 0.910016 -0.364544 -0.777120 0.543648 -0.910632 -1.723707 \n", + "499997 1.0 0.842954 0.332476 -1.048564 1.347989 0.320496 -0.666358 \n", + "499998 0.0 1.370760 -1.162912 0.893499 2.118091 1.248496 -0.887211 \n", + "499999 0.0 0.762400 0.440924 0.342885 1.034283 1.740353 -1.083314 \n", "\n", - " MET MET_phi MET_rel axial_MET M_R M_TR_2 \\\n", - "0 0.567765 -0.175000 0.810061 -0.252552 1.921887 0.889637 \n", - "1 3.475464 -1.219136 0.012955 3.775174 1.045977 0.568051 \n", - "2 1.219918 0.504026 1.831248 -0.431385 0.526283 0.941514 \n", - "3 2.033060 1.533041 3.046260 -1.005285 0.569386 1.015211 \n", - "4 1.087562 -0.381742 0.589204 1.365479 1.179295 0.968218 \n", - "... ... ... ... ... ... ... \n", - "4999995 1.843867 0.276954 1.025105 -1.486535 0.892879 1.684429 \n", - "4999996 0.290863 -0.732360 0.001360 0.257738 0.802871 0.545319 \n", - "4999997 0.490888 -0.509186 0.704289 0.045744 0.825015 0.723530 \n", - "4999998 2.660703 -0.861344 2.116892 2.906151 1.232334 0.952444 \n", - "4999999 1.120280 0.998479 1.640881 -0.797688 0.854212 1.121858 \n", + " MET MET_phi MET_rel axial_MET M_R M_TR_2 R \\\n", + "0 0.567765 -0.175000 0.810061 -0.252552 1.921887 0.889637 0.410772 \n", + "1 3.475464 -1.219136 0.012955 3.775174 1.045977 0.568051 0.481928 \n", + "2 1.219918 0.504026 1.831248 -0.431385 0.526283 0.941514 1.587535 \n", + "3 2.033060 1.533041 3.046260 -1.005285 0.569386 1.015211 1.582217 \n", + "4 1.087562 -0.381742 0.589204 1.365479 1.179295 0.968218 0.728563 \n", + "... ... ... ... ... ... ... ... \n", + "499995 0.424546 1.154849 0.637185 -0.091178 1.972156 0.697028 0.313636 \n", + "499996 2.864673 1.458272 2.176558 -0.590911 0.673695 1.662140 2.189362 \n", + "499997 0.450433 -0.411872 0.293407 0.630491 0.859920 0.403371 0.416258 \n", + "499998 0.164659 0.316840 0.215165 0.280418 3.087083 0.526929 0.151467 \n", + "499999 0.872145 -1.519894 0.284328 -0.360861 0.956828 0.965979 0.895881 \n", "\n", - " R MT2 S_R M_Delta_R dPhi_r_b cos_theta_r1 \n", - "0 0.410772 1.145621 1.932632 0.994464 1.367815 0.040714 \n", - "1 0.481928 0.000000 0.448410 0.205356 1.321893 0.377584 \n", - "2 1.587535 2.024308 0.603498 1.562374 1.135454 0.180910 \n", - "3 1.582217 1.551914 0.761215 1.715464 1.492257 0.090719 \n", - "4 0.728563 0.000000 1.083158 0.043429 1.154854 0.094859 \n", - "... ... ... ... ... ... ... \n", - "4999995 1.674084 3.366298 1.046707 2.646649 1.389226 0.364599 \n", - "4999996 0.602730 0.002998 0.748959 0.401166 0.443471 0.239953 \n", - "4999997 0.778236 0.752942 0.838953 0.614048 1.210595 0.026692 \n", - "4999998 0.685846 0.000000 0.781874 0.676003 1.197807 0.093689 \n", - "4999999 1.165438 1.498351 0.931580 1.293524 1.539167 0.187496 \n", + " MT2 S_R M_Delta_R dPhi_r_b cos_theta_r1 \n", + "0 1.145621 1.932632 0.994464 1.367815 0.040714 \n", + "1 0.000000 0.448410 0.205356 1.321893 0.377584 \n", + "2 2.024308 0.603498 1.562374 1.135454 0.180910 \n", + "3 1.551914 0.761215 1.715464 1.492257 0.090719 \n", + "4 0.000000 1.083158 0.043429 1.154854 0.094859 \n", + "... ... ... ... ... ... \n", + "499995 0.988602 1.981573 0.744828 1.095080 0.006546 \n", + "499996 1.195041 0.910815 1.181893 1.252362 0.826035 \n", + "499997 0.591989 0.372003 0.716788 0.366991 0.265798 \n", + "499998 0.308067 3.098183 0.233042 0.876216 0.000593 \n", + "499999 1.020396 0.996446 0.943458 1.299870 0.197220 \n", "\n", - "[5000000 rows x 19 columns]" + "[500000 rows x 19 columns]" ] }, - "execution_count": 17, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" } @@ -734,7 +755,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -751,7 +772,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -763,7 +784,7 @@ }, { "data": { - "image/png": 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", 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ANGKpNHfqCaIs1eQAAIBcEoYAAIBcEoYAAGgwNm/eXNeHQCN6L5gzBABAvZcuTJouzPm3v/0t9tprr+z21i4aSuNUKBRiw4YN8fe//z17T6T3wrYShgAAqPfSl950PZmlS5dmgQhat24dXbt2zd4b20oYAgCgQUg9AOnL78aNG2PTpk11fTjUoXS9pGbNmm1376AwBABAg5G+/DZv3jxbYHspoAAAAOSSMAQAAOSSMAQAAOSSMAQAAOSSMAQAAOSSMAQAAOSSMAQAAOSSMAQAAOSSMAQAAOSSMAQAAOSSMAQAAORStcPQc889FyeffHJ07tw5mjRpEg899FCl7Z955pms3ZbLW2+9VardjBkz4sADD4wWLVpkP2fOnFn9ZwMAAFBTYeiDDz6I3r17x2233Vat7RYsWBBLly4tXnr06FF838svvxwjRoyIUaNGxbx587Kfw4cPj1dffbW6hwcAAFAlzaKahg4dmi3V1b59+9htt93KvW/ixIlx7LHHxrhx47Lb6eezzz6brZ82bVq1HwsAAKDezBnq06dPdOrUKY4++uh4+umnS92XeoaGDBlSat1xxx0XL730UoX7W79+faxevbrUAgAAUG/CUApAkyZNyuYEPfjgg3HAAQdkgSjNPSqybNmy6NChQ6nt0u20viLjx4+Ptm3bFi9dunSp0ecBAADkfJhcdaXwk5YiAwcOjMWLF8cNN9wQgwcPLl6fiiqUVCgUyqwrKQ2lGzt2bPHt1DMkEAEAAPW6tPaAAQPi7bffLr7dsWPHMr1Ay5cvL9NbVFKqOtemTZtSCwAAQL0OQ3PmzMmGz5XsLZo1a1apNk8++WQcccQRdXB0AABAHlR7mNyaNWvinXfeKb69cOHCmDt3buyxxx7RtWvXbPjakiVLYsqUKdn9qSLcPvvsEwcddFBs2LAhpk6dms0fSkuRCy+8MBsyd/3118ewYcPi4YcfjqeeeipeeOGFHfU8AQAAti8Mvfbaa3HUUUcV3y6at3PmmWfG5MmTs2sILVq0qPj+FIC+9a1vZQGpVatWWSh69NFH44QTTihuk3qA7r///rjsssvi8ssvj/322y+mT58ehx9+eHUPDwAAoEqaFFKlgkYgFVBIVeVWrVpVr+cPvf56RL9+EbNnR/TtW/X7AACAHZsN6mTOEAAAQF0ThgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFxqVtcHQFnz55f/qrRrF9G1q1cMAAB2BGGoHklhp3XriJEjy78/3ZeCkkAEAADbTxiqR1LISWFnxYqy96X1KSSl+4QhAADYfsJQPZOCjrADAAA1TwEFAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl6odhp577rk4+eSTo3PnztGkSZN46KGHKm3/4IMPxrHHHht77bVXtGnTJgYOHBhPPPFEqTaTJ0/O9rXlsm7duuo/IwAAgJoIQx988EH07t07brvttiqHpxSGHnvssZg9e3YcddRRWZiaM2dOqXYpKC1durTU0rJly+oeHgAAQJU0i2oaOnRotlTVxIkTS92+9tpr4+GHH45f/vKX0adPn+L1qSeoY8eO1T0cAACAhjFnaPPmzfH+++/HHnvsUWr9mjVrolu3brH33nvHSSedVKbnaEvr16+P1atXl1oAAADqbRi68cYbs6F2w4cPL17Xs2fPbN7QI488EtOmTcuGxx155JHx9ttvV7if8ePHR9u2bYuXLl261NIzAAAAGoNaDUMp6Fx55ZUxffr0aN++ffH6AQMGxMiRI7O5SIMGDYqf//znsf/++8ett95a4b7GjRsXq1atKl4WL15cS88CAADI5ZyhbZUC0DnnnBMPPPBAHHPMMZW23WmnneLQQw+ttGeoRYsW2QIAAFBve4ZSj9BZZ50V9913X5x44olbbV8oFGLu3LnRqVOn2jg8AAAgh6rdM5QKHbzzzjvFtxcuXJgFl1QQoWvXrtnwtSVLlsSUKVOKg9AZZ5wRN998czYcbtmyZdn6Vq1aZXN9kquuuiq7r0ePHlkhhFtuuSXb5+23377jnikAAMD29Ay99tprWUnsorLYY8eOzf7/e9/7XnY7XR9o0aJFxe3vvvvu2LhxY3z1q1/NenqKlgsvvLC4zcqVK+P888+PXr16xZAhQ7Iwla5PdNhhh1X38AAAAKqkSSGNSWsEUo9S6mlKxRTSBVzrq9dfj+jXL2L27Ii+fWt+OwAAyJvVVcwGtV5aGwAAoD4QhgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFwShgAAgFyqdhh67rnn4uSTT47OnTtHkyZN4qGHHtrqNs8++2z069cvWrZsGfvuu2/cddddZdrMmDEjDjzwwGjRokX2c+bMmdU9NAAAgJoLQx988EH07t07brvttiq1X7hwYZxwwgkxaNCgmDNnTnz3u9+Nb3zjG1n4KfLyyy/HiBEjYtSoUTFv3rzs5/Dhw+PVV1+t7uEBAABUSZNCoVDY5o2bNMl6cE455ZQK21x88cXxyCOPxPz584vXjR49Ogs9KQQlKQitXr06Hn/88eI2xx9/fOy+++4xbdq0Kh1L2r5t27axatWqaNOmTdRXr78e0a9fxOzZEX371vx2AACQN6urmA1qfM5QCjxDhgwpte64446L1157LT788MNK27z00ksV7nf9+vXZkyy5AAAAVFWNh6Fly5ZFhw4dSq1Ltzdu3BgrVqyotE1aX5Hx48dnaa9o6dKlSw09AwAAoDGqlWpyaThdSUUj80quL6/NlutKGjduXNbtVbQsXrx4hx83AADQeDWr6Qfo2LFjmR6e5cuXR7NmzWLPPfestM2WvUUlpapzaQEAAKiXPUMDBw6MWbNmlVr35JNPRv/+/aN58+aVtjniiCNq+vAAAICcqnbP0Jo1a+Kdd94pVTp77ty5sccee0TXrl2z4WtLliyJKVOmFFeOS2W4x44dG+edd15WLOGee+4pVSXuwgsvjMGDB8f1118fw4YNi4cffjieeuqpeOGFF3bU8wQAANi+nqFUBa5Pnz7ZkqSQk/7/e9/7XnZ76dKlsWjRouL23bt3j8ceeyyeeeaZ+MQnPhHXXHNN3HLLLXHaaacVt0k9QPfff3/ce++98fGPfzwmT54c06dPj8MPP7y6hwcAAFDz1xmqT1xnCAAAqFfXGQIAAKiPhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXhCEAACCXmtX1AVA98+eXv75du4iuXb2aAABQVcJQA5HCTuvWESNHln9/ui8FJYEIAACqRhhqIFLISWFnxYqy96X1KSSl+4QhAACoGmGoAUlBR9gBAIAdQwEFAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl4QhAAAgl5rV9QFQDYsWRaxYUXb90k4RkRYAAKCqhKGGFIR69YpYu7bsfS2PiIgX6+KoAACgwRKGGkov0Pz5HwWhqVM/CkUl14+8sU4OEQAAGjJhqCH1ArVuHTFoUETXrnV1ZAAAkO8CCnfccUd07949WrZsGf369Yvnn3++wrZnnXVWNGnSpMxy0EEHFbeZPHlyuW3WrVsXuZR6hIp6gWbP/teSeoEEIQAAqJueoenTp8eYMWOyQHTkkUfG3XffHUOHDo0333wzupbzRf3mm2+O6667rvj2xo0bo3fv3vH5z3++VLs2bdrEggULSq1LYSvXUu9Q3751fRQAANAoVbtnaMKECXHOOefEueeeG7169YqJEydGly5d4s477yy3fdu2baNjx47Fy2uvvRb/+Mc/4uyzzy7VLvUElWyXFgAAgHoRhjZs2BCzZ8+OIUOGlFqfbr/00ktV2sc999wTxxxzTHTr1q3U+jVr1mTr9t577zjppJNizpw5le5n/fr1sXr16lILAABAjYShFStWxKZNm6JDhw6l1qfby5Yt2+r2S5cujccffzzrVSqpZ8+e2byhRx55JKZNm5YNj0tD8N5+++0K9zV+/Pis16loSb1TuZfmFL3++kdLKsIAAADs2GpyaUhbSYVCocy68qTAs9tuu8Upp5xSav2AAQOypUgKQn379o1bb701brnllnL3NW7cuBg7dmzx7dQzlMtA1K5dRMtWEanWxMgvRcScf1WeU3ABAAB2TBhq165dNG3atEwv0PLly8v0Fm0pBaYf//jHMWrUqNh5550rbbvTTjvFoYceWmnPUIsWLbIl91LRil/8IuKkiJj6s4he//y/aw+N/KgqnepzAACw/WEohZhUSnvWrFnxuc99rnh9uj1s2LBKt3322WfjnXfeyYovbE0KTnPnzo1DDjkkGss1U4uknLLDdepUovpcDewfAAAaoWoPk0tD01LvTv/+/WPgwIExadKkWLRoUYwePbp4+NqSJUtiypQpZQonHH744XHwwQeX2edVV12VDZPr0aNHNtwtDY1LYej222+PxnTN1CJpBFsa3QYAADSgMDRixIh477334uqrr84KIqRw89hjjxVXh0vrUjgqadWqVTFjxozsmkPlWblyZZx//vnZ8LtUDKFPnz7x3HPPxWGHHRYN/ZqpKRRtKQUho9cAAKABFlC44IILsqWiIglbSgFnbUXdJBFx0003ZUtj45qpAADQiC66CgAA0BgIQwAAQC4JQwAAQC4JQwAAQC4JQwAAQC4JQwAAQC4JQwAAQC4JQwAAQC5t00VXaSDmzy99u127iK5d6+poAACgXhGGGqMUelq3jhg5svT6tC4FJIEIAACEoUYphZ0Uelas+Ne6dDuFo7ROGAIAAGGoXli0qGxw2V4p8Ag9AABQIcPk6kMQ6tUrYu3askPa0nA3AACgRghDdS31CKUgNHXqR6GoiGIHAABQo4Sh+iIFob596/ooAAAgN1xnCAAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyKVmdX0A1LL588uua9cuomtXpwIAgFwRhvIiBZ7WrSNGjix7X1qfQpJABABAjghDeZGCTgo8K1aUXp/WpYCU1gtDAADkiDCUJynsCDwAAJBRQAEAAMglYQgAAMglYQgAAMglYQgAAMglYQgAAMglYQgAAMglYQgAAMglYQgAAMglYQgAAMglYQgAAMglYQgAAMglYQgAAMglYQgAAMilbQpDd9xxR3Tv3j1atmwZ/fr1i+eff77Cts8880w0adKkzPLWW2+Vajdjxow48MADo0WLFtnPmTNnbsuhAQAA1EwYmj59eowZMyYuvfTSmDNnTgwaNCiGDh0aixYtqnS7BQsWxNKlS4uXHj16FN/38ssvx4gRI2LUqFExb9687Ofw4cPj1Vdfre7hsa3mz494/fV/LVs5nwAAkLswNGHChDjnnHPi3HPPjV69esXEiROjS5cuceedd1a6Xfv27aNjx47FS9OmTYvvS/s49thjY9y4cdGzZ8/s59FHH52tp4a1axfRunXEyJER/fr9a+nVSyACAKBRa1adxhs2bIjZs2fHJZdcUmr9kCFD4qWXXqp02z59+sS6deuyIXCXXXZZHHXUUaV6hi666KJS7Y877rhKw9D69euzpcjq1asj71LnTkV5p2vXCjZKd6QNV6wovaMUjtK6CjcEAIAchaEVK1bEpk2bokOHDqXWp9vLli0rd5tOnTrFpEmTsrlFKbz89Kc/zXp90lyiwYMHZ23SttXZZzJ+/Pi46qqrqnP4uejcKU+6L+WbSgOR0AMAQM5UKwwVSQUQSioUCmXWFTnggAOypcjAgQNj8eLFccMNNxSHoeruM0lD6caOHVuqZygN18uj8jp3iujkAQCAHRCG2rVrl8312bLHZvny5WV6diozYMCAmDp1avHtNIeouvtMVefSwkd07gAAQA0WUNh5552z4W6zZs0qtT7dPuKII6q8n1SFLg2fK9lbtOU+n3zyyWrtEwAAoEaHyaWhaan0df/+/bMQk+YDpbLao0ePLh6+tmTJkpgyZUp2OxVB2GeffeKggw7KCjCkHqF0TaG0FLnwwguzIXPXX399DBs2LB5++OF46qmn4oUXXqju4QEAANRMGErXA3rvvffi6quvzq4XdPDBB8djjz0W3bp1y+5P60pecygFoG9961tZQGrVqlUWih599NE44YQTitukHqD7778/qzJ3+eWXx3777Zddz+jwww+v7uEBAABUSZNCqlTQCKQCCm3bto1Vq1ZFmzZt6vRY0jVL06V6Zs+O6Nt3Rzau4WOppWMCAID6kA2qfdFVAACAxkAYAgAAckkYAgAAckkYAgAAcqna1eTIkfnzS99u1+6jq7sCAEAjIAzVplRyfMWKygNHfZBCT+vWESNHll6f1qXjFYgAAGgEhKHaDEK9ekWsXVv2vhQyUgCpL1LYSaGnZHBLt1M4SuuEIQAAGgFhqLakEJGC0NSpH4Wi+j78LB1PfTsmAADYgYSh2paCkAuZAgBAnVNNDgAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyCVhCAAAyKVmdX0ANDDz55e+3a5dRNeudXU0AACwzYQhqiaFntatI0aOLL0+rUsBSSACAKCBEYaomhR2UuhZseJf69LtFI7SOmEIAIAGRhii6lLgEXoAAGgkFFAAAABySRgCAABySRgCAABySRgCAABySRgCAABySRgCAABySRgCAABySRgCAABySRgCAAByqVldHwCNwPz5Zde1axfRtWtdHA0AAFSJMMS2S4GndeuIkSPL3pfWp5AkEAEAUE8JQ2y7FHRS4FmxovT6tC4FpLReGAIAoJ4Shtg+KewIPAAANEAKKAAAALmkZyjHNQ4SdQ4AAMgrYSjHNQ4SdQ4AAMgrYSinNQ4SdQ4AAMgzYSgH1DgAAIAdVEDhjjvuiO7du0fLli2jX79+8fzzz1fY9sEHH4xjjz029tprr2jTpk0MHDgwnnjiiVJtJk+eHE2aNCmzrFu3blsODwAAYMeHoenTp8eYMWPi0ksvjTlz5sSgQYNi6NChsWjRonLbP/fcc1kYeuyxx2L27Nlx1FFHxcknn5xtW1IKSkuXLi21pLBFA5bG4b3++r+WCt4jAADQIIbJTZgwIc4555w499xzs9sTJ07MenruvPPOGD9+fJn26f6Srr322nj44Yfjl7/8ZfTp06d4feoJ6tix47Y9CxpG1QbVGgAAaKg9Qxs2bMh6d4YMGVJqfbr90ksvVWkfmzdvjvfffz/22GOPUuvXrFkT3bp1i7333jtOOumkMj1HW1q/fn2sXr261EI9q9owe/a/lqlTI9auLb+SAwAA1PeeoRUrVsSmTZuiQ4cOpdan28uWLavSPm688cb44IMPYvjw4cXrevbsmc0bOuSQQ7JQc/PNN8eRRx4Z8+bNix49epS7n9QLddVVV1Xn8KlNqjYAANAYCyikIW0lFQqFMuvKM23atLjyyiuzeUft27cvXj9gwIAYOXJk9O7dO5uD9POf/zz233//uPXWWyvc17hx42LVqlXFy+LFi7flqQAAADlVrZ6hdu3aRdOmTcv0Ai1fvrxMb9GWUgBKc40eeOCBOOaYYyptu9NOO8Whhx4ab7/9doVtWrRokS0AAAA13jO08847Z6W0Z82aVWp9un3EEUdU2iN01llnxX333RcnnnjiVh8n9TTNnTs3OnXqVJ3DAwAAqLlqcmPHjo1Ro0ZF//79s2sGTZo0KSurPXr06OLha0uWLIkpU6YUB6EzzjgjmweUhsMV9Sq1atUq2rZtm/1/mvuT7kvzg9KcoVtuuSULQ7fffnt1D4/6LhVW2LLyXJpfBAAA9T0MjRgxIt577724+uqrs2sBHXzwwdk1hFIluCStK3nNobvvvjs2btwYX/3qV7OlyJlnnpkVTUhWrlwZ559/fhaUUkBKJbfT9YkOO+ywHfMsqXvKbQMAUM80KaQxaY1A6lFKQSoVU0gXcK1L6fqi/fp9VFG6b9/KVtatWj+kFJJLltZOvUTpWkT16DUBACA/2aDaPUOwzZTbBgCgoZfWBgAAaOiEIQAAIJeEIQAAIJeEIQAAIJeEIQAAIJeEIQAAIJeU1ia73E9F10lN1bDr5ABq7cEBAMgrYSjHUt5o3fqj656WJ92XckqNZZLKDqDGHxwAgLwThnIs5YyUN1asKHtfWp8ySrqvxvJIRQdQKw8OAEDeCUM5l7JGneaNOj8AAADySgEFAAAgl4QhAAAglwyTo/7assqcCnMAAOxAwhD1T0VV5lSYAwBgBxKGarxn458l/p9trjKnwhwAADuYMFQTli6NiE4RI78UEXNK92ykXg+2TpU5AABqmDBUE1au/CgMXfP9iBM6/mu9OS8AAFBvCEM1qXv3iL69avQhckdRBQAAdhBhiIZBUQUAAHYwYYhKVVT3odZH/CmqAADADiYMUa2OmDqtcq2oAgAAO5AwRJU7Yuptlevyuq8UqwAAYCuEIRpuR0xl3Vcu0AoAwFYIQzS+7qt613UFAEB9JAzReLuvlOEGAKASwhCNjzLcAABUgTBE46MMNwAAVSAM0fCvQdQgqz8AAFDXhCEaxzWIqso8IgAA/o8wROO+BlER84gAANiCMEQ+RqGZRwQAwBaEIfKjogRX3uSnejHxCQCAmiQMkb/iClWZ/JTWP/hgxF571dODBwBgewlD5Le4QkWTn/7+94hTT404/vh6fPAAAGwvYYh8F1eobOhcySdRdPDPPx/Rq9e/1ustAgBosIQhar24QoMYQrflk1CNDgCg0RGGqDUNaghddarRbdlbVO+SHQAA5RGGqDUNbgjdtvYWVVSAoTxCEwBAnRGGqFWNYgjdthZgKE9FoalePmEAgMZFGKLBDKGrrKOlzrJDVQswlKey0KS0NwBAjROGqPdD6KrS0VJZWKqToLS1LrAi1S3tXZWhd4meJQCAmglDd9xxR/zwhz+MpUuXxkEHHRQTJ06MQYMGVdj+2WefjbFjx8Ybb7wRnTt3ju985zsxevToUm1mzJgRl19+efz5z3+O/fbbL37wgx/E5z73uW05PBqoyvJDZR0tWwtL1ckQtZ4nqtqzVJ2hd9vzpCsjYAEAeQ9D06dPjzFjxmSB6Mgjj4y77747hg4dGm+++WZ0LedL3cKFC+OEE06I8847L6ZOnRovvvhiXHDBBbHXXnvFaaedlrV5+eWXY8SIEXHNNddkAWjmzJkxfPjweOGFF+Lwww/fMc+URj/XaFt7lSpSp3mivCdclaF32/uk68MLsmhR1Z5nRdsDAFRRk0KhUIhqSOGkb9++ceeddxav69WrV5xyyikxfvz4Mu0vvvjieOSRR2J+iZnxqVdo3rx5WQhKUhBavXp1PP7448Vtjj/++Nh9991j2rRp5R7H+vXrs6XIqlWrsjC2ePHiaNOmTdSludMXxKfOPyCenbQgPjHigDo9FiIWL454773qvRLpu3iav/TPf+7YV7BVq4ipUz/6Dl+j/r9lEStX7bj9rVwZcfllEevXxQ7VomXENd+P2G23bXucLbcHaGz23LMWfmnAjtGx40dLfZCyRZcuXWLlypXRtm3bihsWqmH9+vWFpk2bFh588MFS67/xjW8UBg8eXO42gwYNyu4vKW3frFmzwoYNG7LbXbp0KUyYMKFUm3S7a9euFR7LFVdckUKcxWvgPeA94D3gPeA94D3gPeA94D3gPVAo7zVYvHhxpfmmWsPkVqxYEZs2bYoOHTqUWp9uL1u2rNxt0vry2m/cuDHbX6dOnSpsU9E+k3HjxmXzkIps3rw5/t//+3+x5557RpMmTaKm0mV96Hli65yvhsO5alicr4bDuWpYnK+Gw7lqGNLgt/fffz+rV7DDCyhsGTbSg1UWQMprv+X66u6zRYsW2VLSbrUwVCYFIWGo4XC+Gg7nqmFxvhoO56phcb4aDueq/qt0eNz/2ak6O2zXrl00bdq0TI/N8uXLy/TsFOnYsWO57Zs1a5b14lTWpqJ9AgAAbK9qhaGdd945+vXrF7NmzSq1Pt0+4ogjyt1m4MCBZdo/+eST0b9//2jevHmlbSraJwAAwPaq9jC5NE9n1KhRWZhJIWbSpEmxaNGi4usGpbk8S5YsiSlTpmS30/rbbrst2y6V104V5O65555SVeIuvPDCGDx4cFx//fUxbNiwePjhh+Opp57KSmvXF2lI3hVXXFFmaB71k/PVcDhXDYvz1XA4Vw2L89VwOFc5L62dpGsM/dd//Vd20dWDDz44brrppizMJGeddVb85S9/iWeeeabURVcvuuii4ouupnLbW1509Re/+EVcdtll8e677xZfdPXUdK0UAACA+hKGAAAAcjVnCAAAoLEQhgAAgFwShgAAgFwShgAAgFwShraokte9e/do2bJldj2l559/vtIXL1XJS+1S+3333Tfuuuuumj5fuTd+/Pg49NBDY9ddd4327dvHKaecEgsWLKj0dUmVDZs0aVJmeeutt3L/eta0K6+8sszrni6yXBmfq7qzzz77lPtZ+epXv1pue5+t2vPcc8/FySefnFVkTefkoYceKnV/qoWUPm/p/latWsWnP/3prILr1syYMSMOPPDArFRw+jlz5swafBb5Udn5+vDDD7OquoccckjssssuWZszzjgj/va3v1W6z8mTJ5f7+Vy3bl0tPKP8frZSleQtX/MBAwZsdb8+Ww2HMPR/pk+fHmPGjIlLL7005syZE4MGDYqhQ4dm11Aqz8KFC+OEE07I2qX23/3ud+Mb3/hG9uan5qQvyumL2SuvvJJdqHfjxo0xZMiQ+OCDD7a6bQpNqRx80dKjRw+nqhYcdNBBpV73P/zhDxW29bmqW7/73e9Knauii2F//vOfr3Q7n62al/6N6927d3bdvvKky11MmDAhuz+dx/RHh2OPPTbef//9CveZrvs3YsSI7NqB8+bNy34OHz48Xn311Rp8JvlQ2flau3ZtvP7663H55ZdnPx988MH405/+FJ/97Ge3ut82bdqU+oymJf1Blpo5V0WOP/74Uq/5Y489Vuk+fbYamFRam0LhsMMOK4wePbrUS9GzZ8/CJZdcUu7L853vfCe7v6T//M//LAwYMMDLWYuWL1+eSsMXnn322QrbPP3001mbf/zjH85NLbviiisKvXv3rnJ7n6v65cILLyzst99+hc2bN5d7v89W3Uj/ns2cObP4djo/HTt2LFx33XXF69atW1do27Zt4a677qpwP8OHDy8cf/zxpdYdd9xxhdNPP72Gjjyftjxf5fntb3+btfvrX/9aYZt77703O6fU7rk688wzC8OGDavWfny2GhY9QxGxYcOGmD17dtbDUFK6/dJLL1WY+rdsf9xxx8Vrr72WdYFTO1atWpX93GOPPbbatk+fPtGpU6c4+uij4+mnn66FoyN5++23s+EHaQjq6aefnl1YuSI+V/Xr38WpU6fGl7/85WxYSGV8tupW6lFdtmxZqd9Jadjbpz71qQp/h1X2eatsG2rud1n6nO22226VtluzZk1069Yt9t577zjppJOykSnUvDQkOA3N33///eO8886L5cuXV9reZ6thEYYiYsWKFbFp06bo0KFDqRcn3U6/YMqT1pfXPg3bSvuj5qU/4owdOzY++clPxsEHH1xhuxSAJk2alA1hTMMRDjjggCwQpXHC1KzDDz88pkyZEk888UT86Ec/yj43RxxxRLz33nvltve5qj/SuPmVK1dm4+Ur4rNVPxT9nqrO77Ci7aq7DTtemvNzySWXxBe/+MVsGFxFevbsmc0beuSRR2LatGnZ8Lgjjzwy+4MTNSdNmfjZz34Wv/nNb+LGG2/MhqF+5jOfifXr11e4jc9Ww9Ksrg+gPtnyr5/py3ZlfxEtr31566kZX/va1+L3v/99vPDCC5W2S+EnLUUGDhwYixcvjhtuuCEGDx7s9NTwL5EiabJweu3322+/+MlPfpIF2fL4XNUP99xzT3b+Uq9eRXy2GvbvsG3dhh0njSRJPeabN2/OijhVJk3aLzlxPwWhvn37xq233hq33HKL01JD0ry6IukPr/3798965x599NE49dRTK9zOZ6vh0DMUEe3atYumTZuW+WtY6gbd8q9mRdLk1PLaN2vWLPbcc8+aPGdExNe//vXsr2NpuFsaLlBd6ReKv6bVvlQ5KYWiil57n6v64a9//Ws89dRTce6551Z7W5+t2ldUobE6v8OKtqvuNuzYIJQKVqRhjqlYSWW9QuXZaaedsuqqfpfVrtQjnsJQZa+7z1bDIgxFxM4775yVyC6qnFQk3U5DesqT/sK9Zfsnn3wy+4tB8+bNa/Kc5Vr6q2XqEUrD3VKXdZqHsi3SOOv0Dxq1Kw0rmD9/foWvvc9V/XDvvfdm4+NPPPHEam/rs1X70r+D6ctXyd9Jac5Xqr5Z0e+wyj5vlW3Djg1C6Qt1+sPDtvwRNf0+nDt3rt9ltSwN806jSyr7DuGz1cDUdQWH+uL+++8vNG/evHDPPfcU3nzzzcKYMWMKu+yyS+Evf/lLdn+qKjdq1Kji9u+++26hdevWhYsuuihrn7ZL2//iF7+ow2fR+H3lK1/Jquk888wzhaVLlxYva9euLW6z5bm66aabsuowf/rTnwp//OMfs/vTW3/GjBl19Czy45vf/GZ2rtLn5ZVXXimcdNJJhV133dXnqh7btGlToWvXroWLL764zH0+W3Xn/fffL8yZMydb0r9fEyZMyP6/qPpYqiSX/m188MEHC3/4wx8KX/jCFwqdOnUqrF69ungf6d/FkhVSX3zxxULTpk2zbefPn5/9bNasWfZZpebO14cfflj47Gc/W9h7770Lc+fOLfW7bP369RWeryuvvLLwP//zP4U///nP2b7OPvvs7Hy9+uqrTlcNnat0X/o99tJLLxUWLlyYVdAcOHBg4WMf+5jPViMiDJVw++23F7p161bYeeedC3379i1VrjmVVvzUpz5V6sVLX/L69OmTtd9nn30Kd955Z+2duZxK/1CVt6SSoxWdq+uvvz4rD9yyZcvC7rvvXvjkJz9ZePTRR+voGeTLiBEjsi9k6Q8FnTt3Lpx66qmFN954o/h+n6v654knnsg+UwsWLChzn89W3SkqY77lks5JUXntVMo+ldhu0aJFYfDgwVkoKin9u1jUvsgDDzxQOOCAA7LPaLpchD8S1fz5Sl+qK/pdlrar6HylP9KmP1Sk7xx77bVXYciQIdmXdGruXKU/tKbXOb3e6TOSXv+0ftGiRaX24bPVsDVJ/6nr3ikAAIDaZs4QAACQS8IQAACQS8IQAACQS8IQAACQS8IQAACQS8IQAACQS8IQAACQS8IQAACQS8IQAACQS8IQAACQS8IQAAAQefT/Aw8AbAbr6vTeAAAAAElFTkSuQmCC", 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fxj9MGtsHUAqmp5WbiWzQp2ns9dJqC+Nr1qzJWklSz3xaDUqlc2k/nPvuuy/Krl9BJ4WV9AK++OKLXa5Pl1Nq3FTa0TUNIUjzuDt0TGBIy1+p9jBNkdhU2jApfQGUkvI0BlJb02pnZ9BHsn/PUnlc6ntJm4amVZA0SOBf//Vfs9aSsutX0EnNVJMnT852Vu0YEZ2CS7pcaRfVNFkibZi0sXPPPTdb6Um7xlqlAehBx/Q0SPTvABWk8dRpBYcalK6lkrI0nWHKlClZw9XcuXOzsXQdu7GmZqXUx3PppZdm9XTvfe97uzx+2223zf676fUAwABreDp6t9JtVnUABhZ0Zs6cGStWrIg5c+bE8uXLs6kQCxYs6BxDl8brpUlsAECNqeEB6LMBDSNIZWqVStWSBx54oMfHphF7AACwqY5eblhfg/dCXaeuAQBAX/rAU0VQ2spkxx13zC73tuElxdTe3p7t3ZkqyNJ7Ir0XBkrQAcjjfikAJZJOaNN+KS+88EIWdmDEiBExbty4QbXECDoAzWCvHOrB6GlaWPrkPp3YvvXWW7Fu3bpmHw5NlLazSVvRDHZVT9ABaAZ75VBLRk9TEOnEdrPNNsu+YLAEHYBmslcOtWD0NEA3gg4AFIHR0wBd2PAGAAAoHEEHAAAoHKVrAFAGJrIBJSPoANSTvXJoNhPZgJISdADqxV455IGJbEBJCToA9WKvHPLCRDaghAQdgHqzVw4ANJypawAAQOEIOgAAQOEoXQMYLJPVaHVGTwMFJOgADIbJarQyo6eBAhN0AAbDZDVamdHTQIEJOgC1YLIarcroaaCgDCMAAAAKR9ABAAAKR9ABAAAKR48OQF8YIQ0ALUXQAeiNEdIA0HIEHYDeGCENAC1H0AHoKyOkAaBlCDoAQHVLllS+vq1twx48ADkl6AAAlYPMiBERs2ZVfnXSbSkECTtATgk6AEB3KcCkIJN61DaVrk8BKN0m6AA5JegAAJWlECPIAC3KhqEAAEDhWNEBAAbGoAIgxwQdAKB/DCoAWoCgAwD0j0EFQAsQdACA/jOoAMg5QQegw7Jl1UfpAgAtRdAB6Ag5EyZErFlTfXPE1JcAALQEQQcgSSs5KeTMm7ch8GwqhRz7iQBAyxB0ADaWQs6kSV4TAGhxgg4AUHv22AGaTNAByqPasIHEwAGoDXvsADkh6ADl0NuwgcTAARg8e+wAOSHoAOXQ27CBxMABqA177AA5IOgA5WLYAACUwtBmHwAAAECtCToAAEDhCDoAAEDh6NEBABrLHjtAAwg6AEBj2GMHaCBBBwBoDHvsAA0k6AAAjWOPHaBBBB2gWJYt27A5aF97AgCAQhJ0gGKFnLQh6Jo1lW8fMWJDjwAAUHiCDlAcaSUnhZx58zYEnk2lkJPKZgCAwhN0gOJJIWfSpGYfBQDQRDYMBQAACseKDtB6DBwAAHoh6ACtxcABKLZqExL12AH9JOgArcXAASimFGTSZMRZsyrfnm5LIchAEaCPBB2gNRk4AMWSAkwKMtX2wUoBKN0m6AB9JOgAAPmQQowgA9SIqWsAAEDhCDoAAEDhCDoAAEDhCDoAAEDhCDoAAEDhCDoAAEDhCDoAAEDh2EcHyKdly6pvHAiUU7X//9va7L8DdCPoAPkMORMmRKxZU/n2ESM2nNgA5ZD+f0//38+aVfn2dFsKQTYbBTYi6AD5k1ZyUsiZN29D4NmUT2+hXFKASUGm2ipvCkDpNkEH2IigA+RXCjmTJjX7KIA8SCFGkAH6wTACAACgcAQdAACgcAYUdG688cYYP358DB8+PPbbb7945JFHqt73zjvvjClTpsS2224bW221VUycODG+/vWvD+aYAQAAatujM3/+/DjjjDPi5ptvzkLO3LlzY8aMGfHkk0/GTjvt1O3+22+/fXzhC1+IvfbaKzbffPO455574vjjj8/umx4HlJgR0kCtGD0NbGJIe3t7e/RDCjdTp06NG264Ibu8fv36GDt2bJx22mlx1lln9el7TJo0KQ4//PC46KKL+nT/VatWxahRo+KVV16JkSNH9udwgVYeIW1cLODvEmCA2aBfKzpvvPFGLFq0KM4+++zO64YOHRoHH3xwPPzww70+PmWq73//+9nqz+WXX171fmvXrs2+Nv5hgIIxQhqoBaOngVoEnZUrV8a6deti9OjRXa5Pl5cuXVr1cSlt7bLLLll4GTZsWPz93/99fPjDH656/0svvTQuvPDC/hwa0KqMkAYGy+hpoFlT17bZZpt47LHH4tFHH42LL7446/F54IEHqt4/rRilcNTx9eyzzzbiMAEAgDKu6LS1tWUrMi+++GKX69PlMWPGVH1cKm/bY489sj+nqWtLlizJVm0OOuigivffYostsi8AAIC6r+ikqWmTJ0+OhQsXdl6XhhGky/vvv3+fv096zMY9OAAAAE0dL53KzmbPnp3tjTNt2rRsvPTq1auzkdHJsccem/XjpBWbJP033Xf33XfPws29996b7aNz00031fQHAQAAGHDQmTlzZqxYsSLmzJkTy5cvz0rRFixY0DmgYNmyZVmpWocUgk4++eT4zW9+E1tuuWW2n868efOy7wMAAJCLfXSawT46UECLF0dMnhyxaFHaXKvZRwMUkb9noJDqso8OAEDLSZsPV9LWtmE0NVBIgg4AUEwpyIwYETFrVuXb020pBAk7UEiCDgBQTCnApCCzcmX329L1KQCl2wQdKCRBBwAorhRiBBkoJUEHqK9ly6p/mkppVXtb9GagLRWNfj4Amk/QAeonnV1OmBCxZk31+vh0JknLGkiAWLEi4qijqr8tetJTS0W1Y6nX8wGQb4IOUD/prDOdXc6btyHwbMrH5S2hXgFiwYKIHXfs+2M6WioefLD726m3Y6n18/X29h3oClJv3xeAvhN0gPpLZ4n2yunXyXA9TnYH8nx9WZTrb4Do6fkGO0Cr2rHU6/nuvLP78w0mAHZ8X6tIAIMn6AA0QV8CRH9LtAYbWCo9X54W5XoaoFWPY+np+TrCzKGH1jYADmYVCYCuBB2AJugpQPQ09bYvgaXSKkP6nr09X6WT646ZEXlZlGv0AK2enq8eocu2LwC1I+gANFFPAaLSYLqeAktfVhmmT+9+At6Xk2szIxoTuvqy7Uute4ZKv0pUbQJk6V8YaH2CDkDO9CV4VAosA11laHRJGAMLUPXqGSptT5DlMyg8QQcYPHvl1PSlGUzwGOgqgz0V868ePUO9rRL1pOUDcF+WzyrVjwItQ9ABBqcke+XUawBAtZdG8KC/74uBhOPeFjV6UoiVIP+jQaEJOsDg5GksV53UYwBAQV4aWvycvbfVw2pMhwNagaAD1EZexnL1YKCbONZjAAC0ckDS3gK0AkEHKIXeVmV6U+sBANDKtLcArUDQAUqhtwq73tRjAAC0Mu97IO8EHaDlDKQELW8bX0LR9TRZsBoroEAtCTpAS42QHkwJWkEGwEGulX6SG5Abgg7QUiOkB1OC5tNiqL9CTXKr9kGOv0ygJQg6QC5HSPe2gKQEDco3ya3SGPe6/BVkrBwUgqAD9F2D0kWOFpCAHKwE9WWMe01DkLFyUAiCDpA7JdiDFOjnStBgQlB67IDCjr9ooKUJOkDTKE8D6hmCctn3AzSMoAM0hfI0oN4hSKsNlJugAzRtXxvlaUA9abWBchN0gKbuazN9utIRoH4G2mpT9QOcJVtGW4wNFW+Qf4IOMCj2tQFaWaWtcjoGHFT+AGdCjIglseSFp4QdyDlBB6gJ+9oAraQv/TsLFnQfWb3k3qdj1nm7xsqX3yboQM4JOkAnpRpAWfTUv9PjRLYlv6v3oQE1IugAv++12Wt9rHl9aNVSjTsfej527EPZB0ArGMxWOUueHh6xuPv1RlZDfgg6ULIpaNX+EV75ixdizetvj3lxTEyIrullRewYR8Wdcehpe1Yt8UjfF6Do2rZ9K0bE6qx8Lc7rfvuILdfHkqVD7c8DOSDoQAn3p6m4S/jLL0fE22PCRcfEpMPGdHvckrUvx8ottqr4PX2CCZTFuL1HxZLhk2Ll77r/fbgkJsSs1/85HrxrZUyY3v3TH39XQmMJOlCiKWg97RKelWEku+4aMan7FuIpFxmnCpTeuHEx7sn7YlyFZfO2B/8nRpy+Omad3lb1g6Y77+w+4KDHniBgwAQdKNEUtJ6nDO2alWOksgwA+t/cM+7/r+qsnPedbp8mdYysPvTQfq62AwMm6ECJ9DhlaMmSaJs1I8a9/e4mHBlAMYyLZ2PchNcjNvmgKan2929Pq+2J1R4YGEEHCjZwoLcpaNWnDL0eEc/W6vAA6OPfv33Z08dqD/SfoAMFHThQdQraQBMSAA1fbe9Y7Um3KWuD/hF0oGADB3oscxhUQgKgWXv6VPssSlkbVCfoQI71tvhSaeBAfRISAH1Ww1SirA0GTtCBnKrr4ku/ExIAzUglytpg4AQdyPGqjcUXgBZSp1Qy0LK2xEI9ZSboQM5XbaZPV00G0DJ6SyUNXEBKTGyjzAQdaCItMwDUZW80E9tA0IE80DIDQL0WkExso6ys6EAD2LoGgEYzsY2yE3SgzmFmxYqIo46ydQ0AjWViG2Un6ECDhgosWBCx444NmohjCQmAQU5sq8YkN1qFoANFGypQ1w14ACiCvkxsq8YkN1qFoAM1XCjJxVCBXKUuAFpxYls1g9gOCBpO0IGiLpTkInUBkFcN3PIHmkLQgX6s2lgoAQAjq2kNgg70c9Vm+nSfgAFQTkZW00oEHdiI9hYA6qrFd+80sppWIuhABdpbAKipAi2FDHRkdYtkOQpE0KGUbDMDQEOVYCmkQFmOghB0KJ2Wm55WjbQG0FoKPuasL1nuwQftfEDjCDoUVqGnpxUmrQFQhixntYdmEHQopMJPTzM1AYAWUoLKPXJI0KGQSpMDTE0AKI6Cd/EXvHKPHBJ0aGm9tanIAQDknrquMuQ8mkDQoWVpUwGgEEpe1yXnUS+CDi2rNOVpABRfieu6TGujXgQdWp7yNABobaa1UQ+CDrlnuxgAKKeSV/UxSIIOuaYPBwDKrcRVfQySoEOu6cMBAGAgBB1yW5qWGBMNAPTEWGqqEXTIdWlaMmLEhglqpaRBCQAqMpaa3gg65Lo0rdRjojUoAdDBskU3xlLTG0GHXCxMGBFdgQYlACxb9MhYanoi6FB3FiYGSQoEKC/zlb1sDJigQ91ZmACAQTBf2ctG44LOjTfeGFdeeWUsX7489t1337j++utj2rRpFe/75S9/Ob72ta/F448/nl2ePHlyXHLJJVXvT+tSngYAtAptT8XX76Azf/78OOOMM+Lmm2+O/fbbL+bOnRszZsyIJ598Mnbaaadu93/ggQfi6KOPjg984AMxfPjwuPzyy+OQQw6JJ554InbZZZda/Rw0mfI0AKAVaHsqjyHt7e3t/XlACjdTp06NG264Ibu8fv36GDt2bJx22mlx1lln9fr4devWxXbbbZc9/thjj+3Tc65atSpGjRoVr7zySowcObI/h0uDLF6cVuuqT08r7eS0WryoixZFTJrU7KMBIG/8O1GXKpRZs/zTm3d9zQb9WtF54403YtGiRXH22Wd3Xjd06NA4+OCD4+GHH+7T91izZk28+eabsf3221e9z9q1a7OvjX8YWoO+eQAg77Q9lUO/gs7KlSuzFZnRo0d3uT5dXrp0aZ++x5lnnhk777xzFo6qufTSS+PCCy/sz6EBAEBN6N8phoZOXbvsssvijjvuyPp2Ur9ONWnFKPUBbbyik8rjyP/AAbyoADRYT/8Iqx3vF/07JQ46bW1tMWzYsHjxxRe7XJ8ujxkzpsfHXnXVVVnQ+d73vhf77LNPj/fdYostsi/yxcABLyoALXRWnqTbUxDSKNsnti0qcdDZfPPNs/HQCxcujCOPPLJzGEG6fOqpp1Z93BVXXBEXX3xxfOc734kpU6YM/qhpCvvheFEBaJGz8o0769Ptgk6/XlYvVzH0u3QtlZTNnj07CyxpL5w0Xnr16tVx/PHHZ7enSWppbHTqs0nSOOk5c+bE7bffHuPHj8/23km23nrr7IvWY+CAFxWAnHBWDrULOjNnzowVK1Zk4SWFlokTJ8aCBQs6BxQsW7Ysm8TW4aabbsqmtX384x/v8n3OP//8uOCCC/r79AAA0DQGFRR8GEEqU6tWqpYGDWzsmWeeGdiRAQBAThhU0HoaOnWN1mCyGgBAVwYVtB5Bhy5MVgMAqExLVGsRdEqqp1WbNWsi5s3bMHRgU8bxAwBUpn8nXwSdEurLqs306UYr1vxFt9MqAM3g7Lvu9O/kk6BTQvbDaTD1gAA0g7PvhtG/k0+CTonZD6dBJEsAmsHZd8NfbhuN5ougA40iWQLQaM6+KTFBBwAA6kyrVOMJOgWm/x0AoLm0SjWPoFNQ+t8BAJpPq1TzCDoFpf8dACAftEo1h6BTcPrfAQAoI0GnxenDyRG/DABajQ55CkzQaWH6cHLELwOAVqJDnhIQdFqYPpwc8csAoJXokM8VC2v1IegUgD6cHPHLAKBV6JBvOgtr9SXoAABAE1hYqy9BBwAAmsTCWv0IOi3AMC8AAOgfQSfnDPMCACgvgwoGTtDJOcO8AADKx6CCwRN0WoRhXgBAQ1lKaCqDCgZP0IH+0DAFQNFZSsgNgwoGR9CBvtIwBUAZWEqgIAQd6CsNUwCUhaUECkDQgf7SMAUAkHtDm30AAAAAtSboAAAAhaN0LScM8wIAoD9MAO+ZoJMDhnkBANBXJoD3jaCTA4Z5AQDQVyaA942gkyOGeeWEOkIA6JmaqaYzAbx3gg5sTB0hAFSnZooWIujAxtQRAkB1aqZoIYIOVKKOEAAqUzNFi7CPDgAAUDiCDgAAUDhK1xrIMC8AAGgMQadBDPMCAErB6OlcWLKk+uC81GZVBoJOgxjmlTOW1wCgtoyezgW/ht8TdBrMMK8csLwGALVn9HQu+DX8nqBD+VheA4D6MHo6F/waNhB0KC/LawAAhWW8NAAAUDiCDgAAUDiCDgAAUDiCDgAAUDiGEVBc9soBACgtQYdislcOAOTPkiXVd7lMM5GhhgQdisleOQCQHynIjBgRMWtW5dvTbSkECTvUkKBDsdkrBwCaLwWYFGTSB5GbStenAJRuE3SoIUEHAID6SyFGkKGBBB0AACiRJSVplRJ0AACgBNpK1iol6AAAQAmMK1mrlKBTY7ZuAQAYgLLUUzXZuBK1Sgk6NWTrliaQLAGgtZWtnoqGEXRqyNYtDSZZAkDrK1s9FQ0j6NSBrVsaRLIEgGIoUz0VDSPo0PokSwAANjF00ysAAABanaADAAAUjqADAAAUjh4dAADyzR47DICgAwBAPtljh0EQdAAAyCd77DAIgg6tsTFotU3EAIBis8cOAyTokP+Qk/bJWbOm8u0jRmxY1gYAgI0IOuRbWslJIWfevA2BZ1Mp5NhJGQCATQg6tIYUciZNavZRAAB5YyIbVQg65LcHJ9GHAwBUYiIbvRB0yHcPTqIPBwDYlIls9ELQId89OIk+HACgEhPZ6IGgQz7owQEAoIaGDuRBN954Y4wfPz6GDx8e++23XzzyyCNV7/vEE0/Exz72sez+Q4YMiblz5w7meAEAAGofdObPnx9nnHFGnH/++bF48eLYd999Y8aMGfHSSy9VvP+aNWtit912i8suuyzGjBnT36cDAACof9C55ppr4sQTT4zjjz8+3vOe98TNN98cI0aMiK985SsV7z916tS48sor4xOf+ERsscUW/T9CAACAevbovPHGG7Fo0aI4++yzO68bOnRoHHzwwfHwww9Hraxduzb76rBq1aqafW8AAErCHjul1q+gs3Llyli3bl2MHj26y/Xp8tKlS2t2UJdeemlceOGFNft+AACUiD12yOvUtbRilPqANl7RGTt2bFOPiTptCmpDUACg1uyxQ3+DTltbWwwbNixefPHFLteny7UcNJB6efTzlGhTUBuCAgC1Zo+d0utX0Nl8881j8uTJsXDhwjjyyCOz69avX59dPvXUU0v/YjLATUFtCAoAQLNL11JJ2ezZs2PKlCkxbdq0bF+c1atXZ1PYkmOPPTZ22WWXrM+mY4DBL3/5y84/P/fcc/HYY4/F1ltvHXvssUetfx7yzKagAADkNejMnDkzVqxYEXPmzInly5fHxIkTY8GCBZ0DCpYtW5ZNYuvw/PPPx/ve977Oy1dddVX2deCBB8YDDzxQq58DAAAYpCVLKl/figU4AxpGkMrUqpWqbRpexo8fH+3t7VEk+uq9MABAiyvSGX0NtLVtaJueNavy7em29JK10kuTy6lreaav3gsDALSwIp7R18C4cRt+7GpDctPLlW5rpZdF0OknffVeGACghRXxjL5Gxo0r1o8t6AyQvnovDADQoop2Rk9Fv58aAAAAUBCCDgAAUDiCDgAAUDiCDgAAUDiGEdA/NhECAIrOHjuFIOjQdzYRAgCKzB47hSLo0Hc2EQIAisweO4Ui6NB/NhECAIrKHjuFYRgBAABQOFZ0AACgrwwqaBmCDt2ZrAYA0JVBBS1H0KErk9UAALozqKDlCDp0ZbIaAEBlBhW0FEGHykxWAwCghQk6AABQCwYV5IqgU1YGDgAA1IZBBbkk6JSRgQMAALVjUEEuCTplZOAAAEBtGVSQO4JOmRk4AABAQQ1t9gEAAADUmqADAAAUjtK1IjNZDQAgH4yebjhBp6hMVgMAaD6jp5tG0Ckqk9UAAJrP6OmmEXSKzmQ1AIDmMnq6KQwjAAAACseKTqszcAAAALoRdFqZgQMAAK3PRLa6EHRamYEDAACty0S2uhJ0isDAAQCA1mMiW10JOgAA0CwmstWNqWsAAEDhWNFpBSarAQCUk0EFAybo5J3JagAA5WNQwaAJOnlnshoAQPkYVDBogk6rlKeZrAYAUC69DSpQ1tYjQScPlKcBANBXytr6RNDJA+VpAAD0lbK2PhF08kR5GgAAfWH/nV7ZRwcAACgcKzqNZD8cAAAaYcn/H2hVqb+npwEHBSLoNIqBAwAA1JtBBZ0EnUYxcAAAgHozqKCToNNoBg4AAFBPBhVkBJ1a04cDAECeLSlH/46gU0v6cAAAyKu2togRIyJmzap8e7othaCChB1BZ1BJ+PXu161ZEzFv3oYStYKnZAAAWsi4cRvOV1Pv+KbS9SkApdsKcr4q6PTXCy9ExNsjZh0TET+rnISnTy/MGwQAgBL17yypUNa2ZMvUaB6tRtDpr5df3hB0Lvq7iMPGdL/dqg0AAIUqa3tfRCz+/Qf+LULQGahdd42Y1HrJFgAA+lXWdu/yiPM2+sC/RQg6AABAVC1rqzalLeeGNvsAAAAAak3QAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACkfQAQAACmdAQefGG2+M8ePHx/Dhw2O//faLRx55pMf7f+Mb34i99toru//ee+8d995770CPFwAAoPZBZ/78+XHGGWfE+eefH4sXL4599903ZsyYES+99FLF+z/00ENx9NFHxwknnBA/+9nP4sgjj8y+Hn/88f4+NQAAQJ8MaW9vb49+SCs4U6dOjRtuuCG7vH79+hg7dmycdtppcdZZZ3W7/8yZM2P16tVxzz33dF73/ve/PyZOnBg333xzxedYu3Zt9tXhlVdeiXHjxsWzzz4bI0eOjGZ6bP6TceBfvzt+cMuTMXHmu5t6LAAAULbz31WrVmX54+WXX45Ro0ZVv2N7P6xdu7Z92LBh7XfddVeX64899tj2I444ouJjxo4d237ttdd2uW7OnDnt++yzT9XnOf/881P48uU18B7wHvAe8B7wHvAe8B7wHvAe8B5or/QaPPvssz1ml7f1Jz2tXLky1q1bF6NHj+5yfbq8dOnSio9Zvnx5xfun66s5++yzs/K4DmnV6Le//W3ssMMOMWTIkGh1HSk0DytUsCnvT/LKe5M88/4kr1YV8LwzFaS9+uqrsfPOO/d4v34FnUbZYostsq+NbbvttlE06c1WlDccxeP9SV55b5Jn3p/k1ciCnXf2WLI2kGEEbW1tMWzYsHjxxRe7XJ8ujxkzpuJj0vX9uT8AAMBg9SvobL755jF58uRYuHBhl7KydHn//fev+Jh0/cb3T+67776q9wcAABisfpeupd6Z2bNnx5QpU2LatGkxd+7cbKra8ccfn91+7LHHxi677BKXXnppdvnTn/50HHjggXH11VfH4YcfHnfccUf89Kc/jVtuuSXKKpXlpfHcm5bnQR54f5JX3pvkmfcnebVFic87+z1eOkmjpa+88spsoEAaE33ddddlY6eTgw46KNtM9NZbb+2yYei5554bzzzzTOy5555xxRVXxGGHHVbbnwQAAGAwQQcAAKAwPToAAACtQNABAAAKR9ABAAAKR9ABAAAKR9BpojSF7oQTTohdd901ttxyy9h9992z8X9vvPFGMw8LOl188cXxgQ98IEaMGBHbbrutV4amuvHGG7OpnsOHD88mfT7yyCN+IzTdD3/4w/joRz8aO++8cwwZMiTuvvvuZh8SZC699NKYOnVqbLPNNrHTTjvFkUceGU8++WSpXh1Bp4mWLl2abbj6D//wD/HEE0/EtddeGzfffHOcc845zTws6JRC95/92Z/FSSed5FWhqebPn5/t45Y+DFq8eHHsu+++MWPGjHjppZf8ZmiqtJdgej+mIA558oMf/CBOOeWU+PGPfxz33XdfvPnmm3HIIYdk79myMF46Z9L+RDfddFM89dRTzT4U6JT2xTr99NPj5Zdf9qrQFGkFJ30ymfZxS9KHRGPHjo3TTjstzjrrLL8VciGt6Nx1113ZJ+eQNytWrMhWdlIA+uAHPxhlYEUnZ1555ZXYfvvtm30YALlaWVy0aFEcfPDBndcNHTo0u/zwww839dgAWukcMynTeaagkyO/+tWv4vrrr4+/+Zu/afahAOTGypUrY926dTF69Ogu16fLy5cvb9pxAbSK9evXZ5UZBxxwQLz3ve+NshB06iCVUaTl656+Un/Oxp577rk49NBDs36IE088sR6HBQN+fwIAreuUU06Jxx9/PO64444ok7c1+wCK6G//9m/juOOO6/E+u+22W+efn3/++fjQhz6UTbe65ZZbGnCElFl/35/QbG1tbTFs2LB48cUXu1yfLo8ZM6ZpxwXQCk499dS45557sgmB73jHO6JMBJ062HHHHbOvvkgrOSnkTJ48Ob761a9mdeeQl/cn5MHmm2+e/R25cOHCzibvVIaRLqd/wAHorr29PRvYkgZkPPDAA9l2JmUj6DRRCjkHHXRQvPOd74yrrroqm4bRwaeU5MGyZcvit7/9bfbf1CPx2GOPZdfvsccesfXWWzf78CiRNFp69uzZMWXKlJg2bVrMnTs3G5F6/PHHN/vQKLnXXnst67Ht8PTTT2d/V6aG73HjxjX12Ci3U045JW6//fb4t3/7t2wvnY6exlGjRmX7N5aB8dJNHtlb7R/plMKh2VKJ22233dbt+vvvvz8L6dBIabR0GsGf/rGeOHFiXHfdddnYaWim9El5qszYVArm6d95aJYhQ4ZUvD5VEPVWwl4Ugg4AAFA4GkIAAIDCEXQAAIDCEXQAAIDCEXQAAIDCEXQAAIDCEXQAAIDCEXQAAIDCEXQAAIDCEXQAAIDCEXQAAIDCEXQAAIAomv8HQZSHMHKofdgAAAAASUVORK5CYII=", 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", 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", 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", 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", 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OV155Jbsn0r2wpwQdAABaVfpAm+ZLSdOUpLAD3bp1y+boTPfGnhJ0AABodekv9+mD7ZYtW2Lr1q2tfTm0ojQfUIcOHfa6VU/QAQCgTUgfbDt27JgtsLcUIwAAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHJH0AEAAHKn0UFn0aJFMXbs2BgwYEAUFRXFPffc0+BjH3nkkejQoUMcdthhjT0tAABA8wWdDRs2xNChQ+Oaa65p1HFr1qyJCRMmxIknntjYUwIAADRKh8btHjFmzJhsaazzzz8/zjrrrGjfvn2jWoEAAADa5Bidm2++Of785z/HZZdd1qD9N23aFGvXrq2xAAAAtJmg8/zzz8cXvvCFuO2227LxOQ0xa9as6NGjR/UycODA5r5MAAAgR5o16GzdujXrrnb55ZfHoYce2uDjpk+fno3pqVrKy8ub8zIBAIBCH6PTGOvWrYvHH388li5dGhdeeGG2bdu2bVFZWZm17tx///1xwgkn1Dmuc+fO2QIAANDmgk737t3j6aefrrHt2muvjQceeCDuvPPOGDx4cHOeHgAAKFCNDjrr16+PF154oXp92bJl8eSTT0avXr2ipKQk63b28ssvxy233BLt2rWLIUOG1Di+T58+0aVLlzrbAQAAWi3opK5oxx9/fPX6tGnTsn8nTpwY8+bNixUrVsTy5cub7AIBAAAaq6gyDZhp41J56VR9LRUmSN3hWtMTT0QMHx6xZEnEsGENfw0AAGi5bNAi8+gAAAC0JEEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADInUYHnUWLFsXYsWNjwIABUVRUFPfcc88u97/rrrvi5JNPjt69e0f37t1j5MiRcd999+3NNQMAADRt0NmwYUMMHTo0rrnmmgYHoxR0FixYEEuWLInjjz8+C0pLly5t7KkBAAAapEM00pgxY7KloebMmVNj/aqrroqf/vSn8bOf/Sze+973Nvb0AAAATR909ta2bdti3bp10atXr53us2nTpmypsnbt2ha6OgAAIA9avBjB1VdfnXV/O/PMM3e6z6xZs6JHjx7Vy8CBA1v0GgEAgH1biwadH/7whzFz5syYP39+9OnTZ6f7TZ8+PdasWVO9lJeXt+RlAgAA+7gW67qWws2kSZPijjvuiJNOOmmX+3bu3DlbAAAA2myLTmrJOeecc+L222+PU089tSVOCQAAFLBGt+isX78+Xnjhher1ZcuWxZNPPpkVFygpKcm6nb388stxyy23VIecCRMmxLe+9a048sgjY+XKldn2rl27ZuNvAAAAWr1F5/HHH8/KQleVhp42bVr29Ve+8pVsfcWKFbF8+fLq/a+77rrYsmVLXHDBBdG/f//q5TOf+UxTfh8AAAB73qJz3HHHRWVl5U5fnzdvXo31Bx98sLGnAAAA2LfKSwMAADQ3QQcAAMgdQQcAAMidFptHJ3fKyiLitTfWi4sjoqQ1rwgAAPg/gk5jrVgREf0jxn88Ipa+sb1bt4gfp7Lb/Rv9lgAAQNPSda2xVq/e/u9Xr4xYsmT7cuutERs3vvEaAADQqrTo7KnBgyOGlTbpLwMAAGgaWnQAAIDcEXQAAIDcEXQAAIDcEXQAAIDcEXQAAIDcEXQAAIDcEXQAAIDcEXQAAIDcEXQAAIDcEXQAAIDcEXQAAIDcEXQAAIDcEXQAAIDcEXQAAIDc6dDaF5BHZWX1by8ujigpaemrAQCAwiPoNKHinluiW7eI8ePrfz29lkKQsAMAAM1L0GlCJf1fz4JMRUXd19L2FIDSa4IOAAA0L0GniaUQI8gAAEDrUowAAADIHS06zVWFQOUBAABoNYJOU0ihpnYVApUHAACg1Qg6TSENytmxCoHKAwAA0KoEnaaiCgEAALQZihEAAAC5I+gAAAC50+igs2jRohg7dmwMGDAgioqK4p577tntMQ899FAMHz48unTpEm9961vje9/73p5eLwAAQNMHnQ0bNsTQoUPjmmuuadD+y5Yti1NOOSVGjRoVS5cujS9+8Yvx6U9/On7yk5809tQAAADNU4xgzJgx2dJQqfWmpKQk5syZk62XlpbG448/Ht/4xjfijDPOaOzpAQAAWn+Mzm9+85sYPXp0jW0f+MAHsrDz+uuv13vMpk2bYu3atTUWAACANhN0Vq5cGX379q2xLa1v2bIlKqrmnall1qxZ0aNHj+pl4MCBzX2ZAABAjrRI1bVUtGBHlZWV9W6vMn369FizZk31Ul5e3hKXCQAA5ESzTxjar1+/rFVnR6tWrYoOHTrEAQccUO8xnTt3zhYAAIA22aIzcuTIWLhwYY1t999/f4wYMSI6duzY3KcHAAAKUKODzvr16+PJJ5/Mlqry0enr5cuXV3c7mzBhQvX+kydPjr/85S8xbdq0KCsri5tuuiluvPHGuOSSS5ry+wAAANjzrmupWtrxxx9fvZ4CTDJx4sSYN29erFixojr0JIMHD44FCxbExRdfHN/97neziUa//e1vKy0NAAC0naBz3HHHVRcTqE8KO7Ude+yx8cQTTzT+6gAAANpq1TUAAICWJOgAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC5I+gAAAC506G1LyDXysp2+LprRJS25tUAAEDBEHSaQ3FxRLduEePH77DxvRHxRMSKFRHRv1lOCwAAbCfoNIeSku2tORUVb2xbsDLiyxGxerWgAwAAzUzQac6wk5b6urEBAADNSjECAAAgdwQdAAAgdwQdAAAgd/Yo6Fx77bUxePDg6NKlSwwfPjwWL168y/1vu+22GDp0aHTr1i369+8fn/jEJ+LVV1/d02sGAABo2qAzf/78mDp1asyYMSOWLl0ao0aNijFjxsTy5cvr3f/hhx+OCRMmxKRJk+KZZ56JO+64I37/+9/Hueee29hTAwAANE/QmT17dhZaUlApLS2NOXPmxMCBA2Pu3Ln17v/YY4/FQQcdFJ/+9KezVqD3v//9cf7558fjjz/e2FMDAAA0fdDZvHlzLFmyJEaPHl1je1p/9NFH6z3mqKOOir/+9a+xYMGCqKysjL///e9x5513xqmnnrrT82zatCnWrl1bYwEAAGiWoFNRURFbt26Nvn371tie1leuXLnToJPG6IwbNy46deoU/fr1i549e8Z3vvOdnZ5n1qxZ0aNHj+oltRgBAAA0azGCoqKiGuuppab2tirPPvts1m3tK1/5StYa9Mtf/jKWLVsWkydP3un7T58+PdasWVO9lJeX78llAgAABapDY3YuLi6O9u3b12m9WbVqVZ1Wnh1bZ44++ui49NJLs/X3vOc9sd9++2VFDK688sqsClttnTt3zhYAAIBmb9FJXc9SOemFCxfW2J7WUxe1+mzcuDHatat5mhSWqlqCAAAAWr3r2rRp0+KGG26Im266KcrKyuLiiy/OSktXdUVL3c5SOekqY8eOjbvuuiuryvbiiy/GI488knVlO+KII2LAgAFN+90AAAA0tutakooKpMk+r7jiilixYkUMGTIkq6g2aNCg7PW0bcc5dc4555xYt25dXHPNNfHZz342K0RwwgknxNe+9jW/AAAAoG0EnWTKlCnZUp958+bV2XbRRRdlCwAAQJutugYAANCWCToAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDudGjtCyg4y5ZFPPHa9q+LiyNKSlr7igAAIHcEnZbSs+f2f7/8pYgvL93+dbduEWVlwg4AADQxXddaSv/+2/+99baIJUsibr01YuPGiIqKFrsEAAAoFFp0WlppacSwFj8rAAAUFC06AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7uxR0Ln22mtj8ODB0aVLlxg+fHgsXrx4l/tv2rQpZsyYEYMGDYrOnTvHwQcfHDfddNOeXjMAAEDTThg6f/78mDp1ahZ2jj766LjuuutizJgx8eyzz0ZJSUm9x5x55pnx97//PW688cZ429veFqtWrYotW7Y09tQAAADNE3Rmz54dkyZNinPPPTdbnzNnTtx3330xd+7cmDVrVp39f/nLX8ZDDz0UL774YvTq1SvbdtBBBzX2tAAAAM3TdW3z5s2xZMmSGD16dI3taf3RRx+t95h77703RowYEV//+tfjLW95Sxx66KFxySWXxGuvvbbLrm5r166tsQAAADRLi05FRUVs3bo1+vbtW2N7Wl+5cmW9x6SWnIcffjgbz3P33Xdn7zFlypT4xz/+sdNxOqll6PLLL2/MpQEAAOxdMYKioqIa65WVlXW2Vdm2bVv22m233RZHHHFEnHLKKVn3t3nz5u20VWf69OmxZs2a6qW8vHxPLhMAAChQjWrRKS4ujvbt29dpvUnFBWq38lTp379/1mWtR48e1dtKS0uzcPTXv/41DjnkkDrHpMpsaQEAAGj2Fp1OnTpl5aQXLlxYY3taP+qoo+o9JlVm+9vf/hbr16+v3vanP/0p2rVrFwceeOAeXTQAAECTdl2bNm1a3HDDDdn4mrKysrj44otj+fLlMXny5OpuZxMmTKje/6yzzooDDjggPvGJT2QlqBctWhSXXnppfPKTn4yuXbs29vQAAABNX1563Lhx8eqrr8YVV1wRK1asiCFDhsSCBQuyyUCTtC0FnypvetObshafiy66KKu+lkJPmlfnyiuvbOypAQAAmifoJKlqWlrqk4oM1PaOd7yjTnc3AACANlV1DQAAoC0TdAAAgNwRdAAAgNwRdAAAgNwRdAAAgNwRdAAAgNwRdAAAgNwRdAAAgNwRdAAAgNzp0NoXUPDKymr+CIqLI0pKCv7HAgAAe0PQaS0p0HTrFjF+fM3taVsKP8IOAADsMUGn1RpwSiJ+/ELE6tXZWnHPLVGy+qntwaeiQtABAIC9IOi0agNO//9b/q8h58dZ/AEAAPaSoNNCUk+01JqTGmtqS9uzhpzVHQQdAABoAoJOC4cdQ28AAKD5KS8NAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkzh4FnWuvvTYGDx4cXbp0ieHDh8fixYsbdNwjjzwSHTp0iMMOO2xPTgsAANA8QWf+/PkxderUmDFjRixdujRGjRoVY8aMieXLl+/yuDVr1sSECRPixBNPbOwpAQAAmjfozJ49OyZNmhTnnntulJaWxpw5c2LgwIExd+7cXR53/vnnx1lnnRUjR45s7CkBAACaL+hs3rw5lixZEqNHj66xPa0/+uijOz3u5ptvjj//+c9x2WWXNeg8mzZtirVr19ZYAAAAGqpDg/eMiIqKiti6dWv07du3xva0vnLlynqPef755+MLX/hCNo4njc9piFmzZsXll18eBaus7I2vi4sjSkpa82oAAKAwihEUFRXVWK+srKyzLUmhKHVXS6Hl0EMPbfD7T58+PRvTU7WUl5dHQejZM6Jbt4jx4yOGD9++lJZG7Gb8EwAAsBctOsXFxdG+ffs6rTerVq2q08qTrFu3Lh5//PGsaMGFF16Ybdu2bVsWjFLrzv333x8nnHBCneM6d+6cLQWnf//trTkVFdvX09cp9KR1rToAANA8QadTp05ZOemFCxfGRz7ykertaf3DH/5wnf27d+8eTz/9dJ3S1A888EDceeedWYlqakmBRqgBAICWCzrJtGnT4uyzz44RI0ZkFdSuv/76rLT05MmTq7udvfzyy3HLLbdEu3btYsiQITWO79OnTzb/Tu3tAAAArRZ0xo0bF6+++mpcccUVsWLFiiywLFiwIAYNGpS9nrbtbk4dAACANhV0kilTpmRLfebNm7fLY2fOnJktAAAAbarqGgAAQFsm6AAAALkj6AAAALkj6AAAALkj6AAAALkj6AAAALkj6AAAALkj6AAAALkj6AAAALkj6AAAALkj6AAAALkj6AAAALkj6AAAALnTobUvgAYoK6u5XlwcUVLiRwcAADsh6LRlKdB06xYxfnzN7WlbCj/CDgAA1EvQactSkEmBpqLijW1pPQWftE3QAQCAegk6bV0KMwINAAA0imIEAABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7phHpw1Jc4HWp7jYVDoAANAYgk4bkIJMt24R48fX/3p6LYUg84YCAEDDCDptQAowKchUVNR9LW1PASi9JugAAEDDCDptRAoxggwAADQNQScPA3oM4gEAgBoEnTwM6DGIBwAAahB09vUBPQbxAABAHYLOvsiAHgAAaPoJQ6+99toYPHhwdOnSJYYPHx6LFy/e6b533XVXnHzyydG7d+/o3r17jBw5Mu677z6/FgAAoO0Enfnz58fUqVNjxowZsXTp0hg1alSMGTMmli9fXu/+ixYtyoLOggULYsmSJXH88cfH2LFjs2MBAADaRNCZPXt2TJo0Kc4999woLS2NOXPmxMCBA2Pu3Ln17p9e/9znPheHH354HHLIIXHVVVdl//7sZz9riusHAADYu6CzefPmrFVm9OjRNban9UcffbRB77Ft27ZYt25d9OrVa6f7bNq0KdauXVtjAQAAaJagU1FREVu3bo2+ffvW2J7WV65c2aD3uPrqq2PDhg1x5pln7nSfWbNmRY8ePaqX1GIEAADQrMUIioqKaqxXVlbW2VafH/7whzFz5sxsnE+fPn12ut/06dNjzZo11Ut5efmeXCYAAFCgGlVeuri4ONq3b1+n9WbVqlV1WnlqS+Emje2544474qSTTtrlvp07d84WAACAZm/R6dSpU1ZOeuHChTW2p/Wjjjpqly0555xzTtx+++1x6qmn7tGFAgAANNuEodOmTYuzzz47RowYkc2Jc/3112elpSdPnlzd7ezll1+OW265pTrkTJgwIb71rW/FkUceWd0a1LVr12z8DU2krKzmenHx9olFAQCgADU66IwbNy5effXVuOKKK2LFihUxZMiQbI6cQYMGZa+nbTvOqXPdddfFli1b4oILLsiWKhMnTox58+Y11fdRuFKg6dYtYvz4mtvTthR+hB0AAApQo4NOMmXKlGypT+3w8uCDD+7ZldEwKcikQFNR8ca2tJ6CT9om6AAAUID2KOjQxqQwI9AAAMDelZcGAABoywQdAAAgdwQdAAAgdwQdAAAgdxQjyDNz6wAAUKAEnX00s+xyXlBz6wAAUOAEnTZuZ5lll/OCmlsHAIACJ+i0cfVllgbNC2puHQAACpigsw+QWQAAoHFUXQMAAHJH0AEAAHJH17VCLt9Wb8k2AADY9wk6hVy+rd6SbQAAsO8TdAq1fNsuS7YBAMC+TdApJMq3AQBQIBQjAAAAckeLTqHbsThBokABAAA5IOgUqvqKEyQKFAAAkAOCTg4bZRrUOFO7OEHVGylQAABADgg6OWyUaXDjjOIEAADklKCzD6uvUaZJGmdMKgoAwD5O0NnHNWmjjElFAQDICUGHN5hUFACAnBB02H0TkRLUAADsYwQddk4JagAA9lGCTs7tUenpKkpQAwCwjxJ0cmqvS0/vrtqBymwAALRhgk5ONVvp6Z1VZrvrrojevWvu12Tl4AAAoHEEnQIuPb1H3dpqJ6hXXok4/fSID36w5n61w4/gAwBACxJ0CtBed2urnaBqNx3VF34a3FcOAAD2nqBTgBrSrW3x4ojS0rqv19sws7OS1FUn2NmbauUBAKCZCDoFamfd2hrS2lN7OE7t47P33fEEuypTvas3q/GGAADQzEHn2muvjf/8z/+MFStWxLve9a6YM2dOjBo1aqf7P/TQQzFt2rR45plnYsCAAfG5z30uJk+evCenphVbe3Y2HGf32aUk4scvRHFUREn/1xv+Zjt/w5qEIQAA9jbozJ8/P6ZOnZqFnaOPPjquu+66GDNmTDz77LNRUs9f3pctWxannHJKnHfeeXHrrbfGI488ElOmTInevXvHGWec0djT08pFDHYWgnafXfpHt27938gsafnxCxGrV+/8Qv7f/4u49NIo/uB5URLlexeGmopQBQCwTyiqrKysbMwB73vf+2LYsGExd+7c6m2lpaVx2mmnxaxZs+rs//nPfz7uvffeKNuhxFdqzfnDH/4Qv/nNb+o9x6ZNm7Klypo1a7IQVV5eHt27d4/W9OT85+LYf3t7PHT9c3HYuLe36rW0ReXlEa++Wnd7Ckep59prrzX+Pbt23hq3fvWlKO65pe6LKSh9+UsRm/4ZLaJzl4ivXhnRs2fLnA9gX3HAAdv/GATkVr9+25fWtnbt2hg4cGCsXr06evTosfMdKxth06ZNle3bt6+86667amz/9Kc/XXnMMcfUe8yoUaOy13eUju/QoUPl5s2b6z3msssuS+HL4mfgHnAPuAfcA+4B94B7wD3gHnAPVNb3MygvL99ldmlU17WKiorYunVr9O3bt8b2tL5y5cp6j0nb69t/y5Yt2fv179+/zjHTp0/PxvRU2bZtW/zjH/+IAw44IIqKiqI5EmFbaC2ibXKP4D7BswT/39AW+EyyXeqQtm7dumzsf5MXI6gdNtLJdhVA6tu/vu1VOnfunC076tnMXYVSyBF0cI/gWUJz8/8N7hE8R/beLrus/Z92jXnD4uLiaN++fZ3Wm1WrVtVptanSr1+/evfv0KFD1kIDAADQ1BoVdDp16hTDhw+PhQsX1tie1o866qh6jxk5cmSd/e+///4YMWJEdOzYcU+uGQAAoOmCTpLGztxwww1x0003ZZXULr744li+fHn1vDhpfM2ECROq90/b//KXv2THpf3TcTfeeGNccskl0RakLnKXXXZZna5y4B7BswT/39CSfCbBPdLK5aWTNIfO17/+9WzC0CFDhsQ3v/nNOOaYY7LXzjnnnHjppZfiwQcfrDFhaApEVROGppLTJgwFAADaVNABAADIVdc1AACAtk7QAQAAckfQAQAAckfQAQAAcqfgg06qIDd48ODo0qVLNkfQ4sWLW/t3Qhsxc+bMKCoqqrGkCXApXIsWLYqxY8dm1SPT/XDPPffUeD3Vdkn3TXq9a9eucdxxx2XVJiksu7tPUnXS2s+WI488stWul5Y1a9asOPzww2P//fePPn36xGmnnRbPPfdcjX08SwpbQ+4Rz5GGKeigM3/+/Jg6dWrMmDEjli5dGqNGjYoxY8Zk8wJB8q53vSsro161PP30034wBWzDhg0xdOjQuOaaa+p9PZXdnz17dvb673//+ywYn3zyybFu3boWv1ba7n2SfPCDH6zxbFmwYEGLXiOtJ025ccEFF8Rjjz2WTai+ZcuWGD16dHbfVPEsKWwNuUcSz5HdK+jy0u973/ti2LBhMXfu3OptpaWlWXJOaZrClv4yn/4S++STT7b2pdAGpb/C33333dnzIkmP0vQX/PTHkzRXWLJp06bo27dvfO1rX4vzzz+/la+YtnCfVP0ldvXq1XVaeihMr7zySvZX+/ThNs1J6FnC7u6RxHOkYQq2RWfz5s2xZMmSLCHvKK0/+uijrXZdtC3PP/989uE1dW/86Ec/Gi+++GJrXxJt1LJly2LlypU1nilplvNjjz3WM4U60qTa6YPLoYceGuedd16sWrXKT6lArVmzJvu3V69e2b+eJezuHqniObJ7BRt0KioqYuvWrdlfW3eU1tOHFUgtfrfcckvcd9998f3vfz+7L4466qh49dVX/XCoo+q54ZnC7qQu0rfddls88MADcfXVV2fdHE844YSsBZDCklpvpk2bFu9///tjyJAh2TbPEnZ3jySeIw3TIQpc6lZQ+4aqvY3ClB4iVd797nfHyJEj4+CDD44f/OAH2UMH6uOZwu6MGzeu+uv0wWXEiBExaNCg+MUvfhGnn366H2ABufDCC+Opp56Khx9+uM5rniXs6h7xHGmYgm3RKS4ujvbt29dpvUndB2r/RRaS/fbbLws8qTsb1FZVkc8zhcbq379/FnQ8WwrLRRddFPfee2/8+te/jgMPPLB6u2cJu7tH6uM5Ur+CDTqdOnXKykmnahY7SuupexLUlrqVlJWVZQ8TqC2N40ofUHZ8pqSxgGnwqGcKu5K6w5aXl3u2FIjUcyT9lf6uu+7Kui+mZ8eOPEvY3T1SH8+R+hV017XU/ejss8/Oug2kbknXX399Vlp68uTJrX1ptAGXXHJJNhdGSUlJ1tJ35ZVXxtq1a2PixImtfWm0kvXr18cLL7xQvZ4GDaeqfGmAaLpPUsW1q666Kg455JBsSV9369YtzjrrLL+zArKr+yQtqaLjGWeckQWbl156Kb74xS9mvQw+8pGPtOp10zJS2eDbb789fvrTn2bzpFS1Avfo0SObfyt1WfMsKWy7u0fSM8ZzpIEqC9x3v/vdykGDBlV26tSpctiwYZUPPfRQa18SbcS4ceMq+/fvX9mxY8fKAQMGVJ5++umVzzzzTGtfFq3o17/+dSrHX2eZOHFi9vq2bdsqL7vsssp+/fpVdu7cufKYY46pfPrpp/3OCsyu7pONGzdWjh49urJ3797Zs6WkpCTbvnz58ta+bFpIffdGWm6++ebqfTxLCtvu7hHPkYYr6Hl0AACAfCrYMToAAEB+CToAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDuCDoAAEDkzf8HAGL2hcw0Ed0AAAAASUVORK5CYII=", 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", + "image/png": 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", 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", 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Xr5w89u5VBeFe3gke7PbL1Rl1caYu0tSJVV88+SG4eHJS9fK6p3S1tbksFy5G+u9Cs+yb8mSah70ohk3BptuLtBArWfCzCq+XpK5kSk9JkWyP14vufHHXcT2mkIMjRyRh5kRJSfLsxG6TlydZF+pL3tw3Si9Gyt8EUMesGtC7s597agkUZ6W3CQmSFd9K8kYtcPqShPjzknJwp3ftzHwtKfe5WmJmwHrlDGaJvk+Fuu6+8H0M5Z7kmS1bHDs9qrAzoQB9QavvCR12OntZIqrGrHz9dZ8GZ3fOes1Q0+vXqZzzyV8uy49al9u3C4tL29SUr5cXFSUSE+NbSPCk4ZPFIv6qsScFFyX6yCGJi2nh+MKY2NKf+oWXQ7aqnzcIQ6ZUlwnyIKB+/XMVNShSgUf13v7oI66rvji7E+xjwExJuiSZUsFdLR+beDjb9Pr6u8ZlGTXKWagp/V3mt5GO/Rl8nSMXLibJGhmpq444vWDqsNO7bZiTJAnxrSTFxR1bfYGWk+RQYnZy79UyzF01GxefIaB8KS10d5EWaiULfuZRqcLcFZJSvhTD3XrJypKU29Ikxcc70s5KZ2372swAVOkKEVmSImkRmXJBXHwnFJyXzK8PV/0NBk+q+rnaGCHWK6ezfa3S+dnZF76v1dLcHJ/W4TAGDnT5Rtx2D69LXJzUggjIJURFJaIzZjgtynD3+a0lQ6mNC6RGXLnAUFgoRd+flJLGySJxjjUmVH6JvXLtX9ZXGcXy8/HR8vXhWnIp1kWbGkuJX9vUVNShgdPX+Fxj77KIFElRUZHEumpoFV9DpJr0OE4Yqu48qW7g7HZRRd0ru/pzOTFSs0Y71xfulakLXFFIdNrg/0rgcXYnOBB3tQIgRbIk09JP8px866hQNuriWknfmidpfewvKjIzSu+Eps0dKZ29aGfmfpdJkpo1MiXz/32jQ6FDff2ftpMLQ5xt+5a6JOp9GSAN5KTTz6DCW0pKUgj0pFdBaaGri7RQLVnwUtY+5yU1pVUrU92XKjgrxXC3XnzsOcV96eyVfW3JIWnQq6WniwwrerVdjAydrr4raOua+dASkd7XOO9RLCU4PYrZqKviLzy/CVJhTYAalyUh5xuRLy6FRLVZV6dJlyWw6ncf/1dGLe8t6RlXSVpSiIwr6K49q5ef/3x+kcTFxUqaHJZa5doF6bRSV1Xriij9v5eXzypgpaXaB6yCwkjdpuZcYZQUX6lRppSUqGBWLA899IisX79GoqKi5KGHHpK5c+dKRESErNmwQRYvWCAHs7OlVq1acsstt8jixYulYcOGtg4NDu36VpYseUIOHEgXi8UirVpdL7NmrZKUJu2kqDhC/43zV5rxZGTsl7vuGiQ//elkmTt3hi79mT//N7J8+YtSUHBR7r57hDRokCA7d74vBw4c0K8ZO3as5OfnS/dOnWTJSy9JbM2acvTYMfn6669l8uTJsm/fPqlZs6b07Xu3rFixUGrVukq/7qabbtLV2BY/95zt8955551St25d2/ijzZo1kwkTJsg///lPeeONN6RevXry9NNP62lWn332mTz44IOSmZkp7du3lxkq/AYBYaiacF1XOEUSdn3nvC6/29tFFXSv7IL6PsxUpQNLXhWpV8/hYkqfpAPUMZa6qHacVgWNt336g27CZ2ampBR8JylOrnwS0o9JzSnnZdSUBNdV4Toli3gxGGTFNVQiJS+pg6SUO+GoO4cXLrq5ri3Ml5S4ef4tUfGlkrwnPelVl+qoLm5mqJ6eVAPn8k5+kyvDxtSVC+L8AlXvT4Vq/V1bpaXh7kpn1WdOGDVAUnq9We07AAmJrr7d1E9SvbepEgd1oS3Lq7ih/JUbHJkz14rMzHRy7nB+E8TtvpaTIwn33CQpQ77zf7VZZ6HN14BVQQmsbTu5qfrt73EFg0olBKXxtSJ1ov3a4L9G3XipVb/c4gpFIk9c6ZOhjNL7Pq/J0KHjJD39U/nqq891EGjatKk88MADuhRm7oMPSutbb5Xcc+fk8ccf1+Fk27ZtuqOGE7kn5KGJfaVP35vkvfc+kKuvri2ffPKxNGlYmn7OnIuSc+dKt8v+/bvlV7+6Ux5+eJ4MHz5Rl/5s2rRW/vCH52TZsmXSu3dv2bBhgyxYsEC3ySnrL3/5i9SuWVN2vvSSWFJT5cKFCzJw4EDp0aOH/O1vf5Njx3JlwoTx8stfPiJr1pQGHU+pv6fC3/Tp02XTpk06DPbt21fatGkj58+flyFDhugQuGbNGjly5IgOYMFAGAoQl92QWi+ynX7R+XZnueK6wtdKZua1zr+sXF71uule2Z2TJyVl2DBJebR30NpUeFL45awmRkAab/v8Rj0Y28dJ1+k6fKoT9dwVDu0jfG5zUckaKq6va691fhFd0X7vKvCcPClZdz4meQW1fGo34e7Oo7u3FBYlC25Kv9R3k+5xy+kLG5aWqjzxgTS4Lsn5/hSn9qcg3833qnRWfV+Vb7dUddWh/N4ldYCriDr9/O5uDrkp3dPfT4X5kufQAtv3tpD2n0E8L+HpoEq1L+tSaGd0CU+HJO/2tS9yRAq+82vbH1sgm/m0yEwfejx01T7LTQmsu+0UNt95noiLFalVI/B/Jq60/4Dy7XTUabxJk2R5/PFF0rx5hHTo0FqXuCxatEiHoV+MGVO6rVJTpXmtWvLiiy9Kt27d5Ny5cxIhUfLGG0ulTp3asmnTBolRbY9E5PrrW+m6cIV/z5S6ki8Rclb+9eFL8utZT8mL02bJ8AE3SrTlG4mTlrJkyRIZN26c/PznP9evfeaZZ2THjh16+WWpUqk/Ll0qsf/6l95f/m/tWrl48aKsXr1a/06dOp944iWZOvUOWbBgvjRq1MjjdTN48GCZNGmS/v+TTz6pP/vu3bt1GFq7dq2UlJTIn/70J1361K5dO/n3v/+tA1OgEYYCwH33nlcusmdOFJmZ7X0deRft1n1tfF/6Nej4LZdZme6Vg9ymwl1Jhrsvcrevs95dzp/npPpDxVcxzmdxU0pXUfh09SESEiSl5ilJmXm7VMsGEllZktW6n9PAc1IayDD5Qvce5a92ExUFa4/uZvtwR9eXsVHcclP6pQZBVO1pnPYMZt3vR6hSlXLvV30m9Z3l5UVoQPnQkYcrHlWHSnBe/deVgHZJ7eeQ7L50wIObQy7ugjg/w/heg1u1W5R41SmOY+cRbkt41Pf9t5FuzhOVaLPox7Y/tlJpZ+cCd+fQSo5F6Go7BfkwrND3kiRFlyL0NY+1wMfaLsj601pNrGy1tWBTgah8YZNqf9S9ew9dJc6qZ8+eurREhYCvvvxSnp02TQ4cOSL//eEHuXyloU9WVpY0bZQq3313QHr16G0LQmX/WFz7lhJd9yr5/PNP5L2PPpQ3/vxnuesnP7Hr0ODgwYO2IGLVrUsX+eCvf/3fSisulg5t20psmUZGqspax44ddRCy6tixt35/Bw4clB//uJHeFpcuiZyvYDDa6667zvZ/tR4SExMlNzfX7u+oIFR2/QQDYSgAKuyGVFcXcnG33qd2HK6/5zy5uHPF5xN1FbSp8LUkw+XrEmqJ1DzldXFTxdvpWtmy5VrH6ga+hk9fk2CYyPr6tKQVuAk8NS7L+1udVN/wsd1ERavTbbUQT+7oOunxMCv9WMVjo6TvcPwcnlSZcdOGx3nPYG5KVSos2fS+Z8agFwe7kdKhjmTGd3Zd0mg5LymiOhxJ8f5c8NDHkhbsNjPOQrmb8erclg5YQ7IPpcy+HGvuG/yrEPCxy+W6LeEJrT4Z3HN2LrCeQ73ctoE6FwTgMKywc5Qp8q4syvuPlLtFaauSpn461ngr7SY6Osp5b2uhoKCgQPr/5Cdya9fu8n/L/iQJjZvIv/+dJUOHDpDTp4ukoG6kxMW5KdVSHzo6Wlr86EdSPyFB/rRundx+990O3SqUDWKqRMmiDsCCgv/tW/n5UksFIbUiVe8K0dG6bVLZ16lahdanWVkR+qUFBZFy6pRFMo/8b0DWSyodlVM+yKnlWkOf+jtVhTAUQK67IXVRXSjYpR8VCPPr6MrxcYX7foIPQPisBioe38TF3dxKtJvweXW6u6PrpsfDPOkkF+QuWbPYSScY6Xm6PVjelLmSUtWDhLptTBbktlaBuAmQkqKrVab42J2zU1fCYdryR6Xzcv8MnOqXtjEuxqtzXTpwJST7uQjA3bHm+3kryL1SVsSPVeIrvuES3LEIK30YOlkPCXnHpKakuOwcpU3T/0rDay5Js+b2oUf1mma9/+NQC8ZdN9FB9tlnn5S+pSunqPT0T6RFi5aSkfGt5J06JWMeWSrXJDbTvb8dOPC5nufwYRUi4qRVy/ayfftqHTIcSoeuSEhIkC1btugODUaMGCGvv/qqWOds3bq17qBg9OjRpROKi+Xzf/yjdEVaV5rax1TSUc+vtKVq27atvPbaa7pNjyodUrPn538skZGRcuutrUTVkktJaSBFRTl6kFbVeURh0WX5+9//LjfffLPH60b9nT//+c+6Sl6NKwM7ffJJ6foKNMJQGPF76QcCsuJ8PcEbHT4DNb5JVXBTupc5d7NIudHYrWPfqCDk+BkTfKsyU3bZ3rT/CKcvk0C8F38v011ADlDr88q0jamSIoAw2NX8H1x8XGdu96eq6fzFp+3kZn+ydcK0abfjZ8nMlLozfiGFcSv0y8uOjWMdFLWGXJRaulvostR3bpGEguPHs2Xx4qly550PysGDX8iyZUtkypQFcvFiisTExMrG11+SqY+Mk4NHD8maNXP1a5o3V+fAi/LMT2+VTZteknvvvVemTZsmderU0WFBtStSQcdK9T73wQcf6CDys7FjZcNTT+mL/UcffVS3Teratav06tVLNv75z/LVoUPSvEWL/42HpAKQqs9XpkrcyJEjZdasWXL//ffLs88+KydPnpSpUx/Voap589L2Qv373yJTp06V3R++K5aYtrJsyR90r3TeuO+++3Tvcapdk+plTg24+vzzz0swEIYQdG4bKHs7OF+YCfsTPHxiO/eru53iw3WRl1Vm3N9dDUDnIHDPl7aXPnboEJC2MdW8Om5AuAsulVxnvvacGjIq2J9SVFtYp8MsXJQCyZFynbSVKlJhJ1YyP8gROeKkZkBELZHiGDWLX/h6WTJmzBi5dOmijBvXTXetPWnSozJ9+gRdXezll1bK7NnTdSDq3LmzLFjwvPzkJz/RQa9W/GWpVbemfLBtm/z6mWfkxhtv1K9X3VmrnuHKU21xVCC66cYbZeTMmbJu82Ydag4fPiy/+tWvdLW84cOGydghQ+Sz8t3elaPa8Gzfvl337HbDDTfo53fffbcsXLjQNs8vfvEL+fLLL2XCww+IRETL5Icf8apUSLnqqqvknXfekYkTJ0qnTp10SdH8+fP13wo0whCCpsIGyuoCbdQA520Wwr0jgGomIA1mvRz/wxNq/Izylwml04KrsteSTtd3XgOXd54rurvq7/YfQa8uZIAKvy+DPV6p6XdyfP3Sq0QQDoECusCpzP6k2qKU60EhoUaR1IyPklHPNJdg8XZ9q17TrFaudOxr/ucj75Gfd25Xus9cKZmxtaO50sHBde1VVbntTpdvHc/HKikpSQ5mZJTup6q0R50uZs7UD+sy+91yi/xIFT25WIZVhw4ddLhyRVXbU112/2HuAt1uSJVk1apv38ZJlfSUZx3fyEp1311+WjDaEhGGEDQejQ2yZp6P/awiGAJyMvakHryXDfNVw3R9IelqfBMVvJvXlmBeF/ly7ne/vhNKqzy98ZpIuQFwK7q7Wpmup0OiupDp35d8JYbNl56r7wUfm7WZXUCnPqAqJnGyAvQNoE1xkle/tUhsbNDeTjitbzVe0IoVK2TAgAG6VGn9a6/Jrs8+k53WcGQwwhBCa2wQLwdfRHAF5GR8peTCXXsab+vBp/S8VjL3qhHXs5y/T9WLV89rQ/7ObMXrW1V58nxA3SrpDzeA1YXM/b5EqH/p+dp1eCBuqlQb6oO/+67I2bMiyckO3caldIiWFDWWEJxSVfHUAK6/+c1vpLCwUFq3bCmb58+X27yszlYdEYYAeMXfJ+NKt6dxQYUdXwJPqN2Z9fvFT1XVtfFjdSEgqHw4CKukZ1ETNG5cWuW2fA8K1Ym1q7mKpnlJ9dC2a9eu/01QVe+oqqwRhgBUqXCr+hH2d2bDbYWHCW87OkD1R8+i8IrqyU2N7eOqQ4Mr4/7A/1irAKpc2AeMcMMK943X46J4cJffVWIiSVVrHIJwoKr9tWunx/9x6sq4P/A/whAAwC+C1Qwp6HwdF8VdQVtF1RUV6ksBTl1Wo5JWRyrsEHiCvi8QhgAAlVKtuvz167govi9To8oiYCc2NlYiIyPl+++/lwYNGujnqmMAuFBY+L+fV7rX9uh3PiosUsuM0D+jCgK7XVSX20VFRXoQWLVPqH3BV4QhAEClGNEMKRD1mqgrBXhFXfSmpqZKTk6ODkSogBqM1vrFHBPjOF6T+l2MGozWP73wFZ2/JHl5MRIjlyQ2v9zfCxA1CGxKSoreN3xFGELwVdu6NIC5uK4HEAyqBEBd/BYXF0tJmYFX4YQKjPfeK3LRybAGihq36d13S3vp84Nv3vmXTPx1qmz+w7+k9R3Oe4j1JzVeUnR0dKVLBwlDCJ5qX5cGAAAEmrr4jYmJ0Q+40by5yPbtQSu2jyiKlGPH4vXP+DDq+pwwhOAxoi4NAABAiKDYvkKEIQQXByUAAABChO+tjQAAAAAgjBGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMJJPYWjZsmWSmpoq8fHx0qVLF0lPT3c575YtW6Rfv37SoEEDqV27tvTs2VO2b99uN8+qVaskIiLC4VFQUODL2wMAAAAA/4ehjRs3ypQpU2TGjBmSkZEhffr0kUGDBklWVpbT+ffs2aPD0LZt22T//v1y8803yx133KFfW5YKSjk5OXYPFbYAAAAAIBCivX3BwoULZdy4cTJ+/Hj9fPHixbqkZ/ny5TJv3jyH+dXvy/rtb38rb731lrzzzjvSqVMn23RVEpSYmOjbpwAAAACAQJYMFRUV6dKd/v37201Xz/fu3evRMi5fvixnz56Va665xm76uXPnpGnTptKkSRMZMmSIQ8lReYWFhXLmzBm7BwAAAAAEJAzl5eVJSUmJNGrUyG66en7ixAmPlrFgwQI5f/68DB8+3DatTZs2ut3Q22+/LevXr9fV43r37i2HDh1yuRxVClWnTh3bIzk52ZuPAgAAAMBwPnWgoKq0lWWxWBymOaOCzrPPPqvbHTVs2NA2vUePHjJq1Cjp2LGjboP0+uuvS6tWrWTJkiUulzVt2jQ5ffq07ZGdne3LRwEAAABgKK/aDCUkJEhUVJRDKVBubq5DaVF5KgCptkZvvPGG3HbbbW7njYyMlBtuuMFtyVBcXJx+AAAAAEDAS4ZiY2N1V9o7d+60m66e9+rVy22J0NixY2XdunVy++23V/h3VEnTgQMHJCkpyZu3BwAAAACB601u6tSpMnr0aOnataseM2jlypW6W+2JEyfaqq8dP35cVq9ebQtCY8aMkRdeeEFXh7OWKtWoUUO39VFmz56tf9eyZUvdEcKLL76ow9DSpUu9fXsAAAAAEJgwNGLECDl16pTMmTNHjwXUvn17PYaQ6glOUdPKjjn08ssvS3FxsTz88MP6YXX//ffrThOU/Px8mTBhgg5KKiCpLrfV+ETdunXz9u0BAAAAgEe8DkPKpEmT9MMZa8Cx2r17d4XLW7RokX4AAAAAQEj3JgcAAAAA4Y4wBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIPoWhZcuWSWpqqsTHx0uXLl0kPT3d5bxbtmyRfv36SYMGDaR27drSs2dP2b59u8N8mzdvlrZt20pcXJz+uXXrVl/eGgAAAAAEJgxt3LhRpkyZIjNmzJCMjAzp06ePDBo0SLKyspzOv2fPHh2Gtm3bJvv375ebb75Z7rjjDv1aq3379smIESNk9OjR8uWXX+qfw4cPl08//dTbtwcAAAAAHomwWCwW8UL37t2lc+fOsnz5ctu0tLQ0ufPOO2XevHkeLaNdu3Y6/DzzzDP6ufr/mTNn5L333rPNM3DgQKlXr56sX7/eo2Wq19epU0dOnz6tS6Cq0hdrM6XLqDTZvyZTOo9Mq9L3AgAAAJh2/XvGw2zgVclQUVGRLt3p37+/3XT1fO/evR4t4/Lly3L27Fm55ppr7EqGyi9zwIABbpdZWFioP2TZBwAAAAB4yqswlJeXJyUlJdKoUSO76er5iRMnPFrGggUL5Pz587oanJV6rbfLVKVQKu1ZH8nJyd58FAAAAACG86kDhYiICLvnqqZd+WnOqCpvzz77rG531LBhw0otc9q0abrYy/rIzs72+nMAAAAAMFe0NzMnJCRIVFSUQ4lNbm6uQ8lOeSoAjRs3Tt544w257bbb7H6XmJjo9TJVr3PqAQAAAAABLxmKjY3VXWnv3LnTbrp63qtXL7clQmPHjpV169bJ7bff7vB71d12+WXu2LHD7TIBAAAAIGglQ8rUqVN119ddu3bVIWblypW6W+2JEyfaqq8dP35cVq9ebQtCY8aMkRdeeEF69OhhKwGqUaOGbuujTJ48Wfr27Svz58+XoUOHyltvvSW7du2Sjz76qFIfDgAAAAD81mZIdYO9ePFimTNnjlx//fV6HCE1hlDTpk3173NycuzGHHr55ZeluLhYHn74YUlKSrI9VACyUiVAGzZskFdffVWuu+46WbVqla5Wp7rxBgAAAICQKBlSJk2apB/OqCBT1u7duz1a5j333KMfAAAAABCyvckBAAAAQLgjDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEbyKQwtW7ZMUlNTJT4+Xrp06SLp6eku583JyZH77rtPWrduLZGRkTJlyhSHeVatWiUREREOj4KCAl/eHgAAAAD4Pwxt3LhRB5oZM2ZIRkaG9OnTRwYNGiRZWVlO5y8sLJQGDRro+Tt27OhyubVr19bBqexDhS0AAAAACIkwtHDhQhk3bpyMHz9e0tLSZPHixZKcnCzLly93On+zZs3khRdekDFjxkidOnVcLleVBCUmJto9AAAAACAkwlBRUZHs379f+vfvbzddPd+7d2+l3si5c+ekadOm0qRJExkyZIgudXJHlTidOXPG7gEAAAAAAQlDeXl5UlJSIo0aNbKbrp6fOHFCfNWmTRvdbujtt9+W9evX6+pxvXv3lkOHDrl8zbx583RJk/WhSqcAAAAAIKAdKKgqbWVZLBaHad7o0aOHjBo1SrcpUm2QXn/9dWnVqpUsWbLE5WumTZsmp0+ftj2ys7N9/vsAAAAAzBPtzcwJCQkSFRXlUAqUm5vrUFpUGarXuRtuuMFtyVBcXJx+AAAAAEDAS4ZiY2N1V9o7d+60m66e9+rVS/xFlTQdOHBAkpKS/LZMAAAAAPC5ZEiZOnWqjB49Wrp27So9e/aUlStX6m61J06caKu+dvz4cVm9erXtNSrYWDtJOHnypH6uglXbtm319NmzZ+uqci1bttQdIbz44ot6nqVLl3r79gAAAAAgMGFoxIgRcurUKZkzZ44eC6h9+/aybds23ROcoqaVH3OoU6dOtv+r3ujWrVun5z969Kielp+fLxMmTNDV71RnCGr+PXv2SLdu3bx9ewAAAAAQmDCkTJo0ST+cUb3COav25s6iRYv0AwAAAABCujc5AAAAAAh3hCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARvIpDC1btkxSU1MlPj5eunTpIunp6S7nzcnJkfvuu09at24tkZGRMmXKFKfzbd68Wdq2bStxcXH659atW315awAAAAAQmDC0ceNGHWhmzJghGRkZ0qdPHxk0aJBkZWU5nb+wsFAaNGig5+/YsaPTefbt2ycjRoyQ0aNHy5dffql/Dh8+XD799FNv3x4AAAAABCYMLVy4UMaNGyfjx4+XtLQ0Wbx4sSQnJ8vy5cudzt+sWTN54YUXZMyYMVKnTh2n86hl9OvXT6ZNmyZt2rTRP2+99VY93RUVss6cOWP3AAAAAICAhKGioiLZv3+/9O/f3266er53717xlSoZKr/MAQMGuF3mvHnzdLiyPlQgAwAAAICAhKG8vDwpKSmRRo0a2U1Xz0+cOCG+Uq/1dpmq9Oj06dO2R3Z2ts9/HwAAAIB5on15UUREhN1zi8XiMC3Qy1QdLagHAAAAAAS8ZCghIUGioqIcSmxyc3MdSna8kZiY6PdlAgAAAIDfwlBsbKzuSnvnzp1209XzXr16ia969uzpsMwdO3ZUapkAAAAA4NdqclOnTtVdX3ft2lWHmJUrV+putSdOnGhry3P8+HFZvXq17TUHDhzQP8+dOycnT57Uz1WwUuMJKZMnT5a+ffvK/PnzZejQofLWW2/Jrl275KOPPvL27QEAAABAYMKQGg/o1KlTMmfOHD2gavv27WXbtm3StGlT/Xs1rfyYQ506dbL9X/VGt27dOj3/0aNH9TRVArRhwwZ5+umnZebMmdKiRQs9nlH37t29fXsAAAAAELgOFCZNmqQfzqxatcphmuoMoSL33HOPfgAAAABASA66CgAAAADVAWEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwkk9haNmyZZKamirx8fHSpUsXSU9Pdzv/hx9+qOdT8zdv3lxWrFhh9/tVq1ZJRESEw6OgoMCXtwcAAAAA/g9DGzdulClTpsiMGTMkIyND+vTpI4MGDZKsrCyn8x85ckQGDx6s51PzT58+XR577DHZvHmz3Xy1a9eWnJwcu4cKTwAAAAAQCNHevmDhwoUybtw4GT9+vH6+ePFi2b59uyxfvlzmzZvnML8qBUpJSdHzKWlpafL555/L888/L3fffbdtPlUSlJiYWLlPAwAAAACBKBkqKiqS/fv3S//+/e2mq+d79+51+pp9+/Y5zD9gwAAdiC5dumSbdu7cOWnatKk0adJEhgwZokuR3CksLJQzZ87YPQAAAAAgIGEoLy9PSkpKpFGjRnbT1fMTJ044fY2a7mz+4uJivTylTZs2ut3Q22+/LevXr9fV43r37i2HDh1y+V5UKVSdOnVsj+TkZG8+CgAAAADD+dSBgqrSVpbFYnGYVtH8Zaf36NFDRo0aJR07dtRti15//XVp1aqVLFmyxOUyp02bJqdPn7Y9srOzffkoAAAAAAzlVZuhhIQEiYqKcigFys3NdSj9sVLtgJzNHx0dLfXr13f6msjISLnhhhvclgzFxcXpBwAAAAAEvGQoNjZWd5G9c+dOu+nqea9evZy+pmfPng7z79ixQ7p27SoxMTFOX6NKjg4cOCBJSUnevD0AAAAACFw1ualTp8of//hH+dOf/iSZmZny+OOP6261J06caKu+NmbMGNv8avqxY8f069T86nWvvPKK/OpXv7LNM3v2bN0j3eHDh3UIUr3VqZ/WZQIAAABAlXetPWLECDl16pTMmTNHjwXUvn172bZtm+4JTlHTyo45pAZnVb9XoWnp0qXSuHFjefHFF+261c7Pz5cJEybo6nSqM4ROnTrJnj17pFu3bv76nAAAAABgJ8Ji7c0gzKmutVWQUp0pqAFcq9IXazOly6g02b8mUzqPTKvS9wIAAACYdv17xsNs4FNvcgAAAAAQ7ghDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIzkUxhatmyZpKamSnx8vHTp0kXS09Pdzv/hhx/q+dT8zZs3lxUrVjjMs3nzZmnbtq3ExcXpn1u3bvXlrQEAAABAYMLQxo0bZcqUKTJjxgzJyMiQPn36yKBBgyQrK8vp/EeOHJHBgwfr+dT806dPl8cee0yHH6t9+/bJiBEjZPTo0fLll1/qn8OHD5dPP/3U27cHAAAAAB6JsFgsFvFC9+7dpXPnzrJ8+XLbtLS0NLnzzjtl3rx5DvM/+eST8vbbb0tmZqZt2sSJE3XoUSFIUUHozJkz8t5779nmGThwoNSrV0/Wr1/v9H0UFhbqh9Xp06clJSVFsrOzpXbt2lKVDmw8KDdOaC0frjwo149oXaXvBQAAADDt+vfMmTOSnJws+fn5UqdOHdczWrxQWFhoiYqKsmzZssVu+mOPPWbp27ev09f06dNH/74s9fro6GhLUVGRfp6cnGxZuHCh3TzqeUpKisv3MmvWLBXieLAO2AfYB9gH2AfYB9gH2AfYB9gH2AcsztZBdna223wT7U3CysvLk5KSEmnUqJHddPX8xIkTTl+jpjubv7i4WC8vKSnJ5TyulqlMmzZNpk6dant++fJl+e9//yv169eXiIgIbz4WXCTpUChlQym2SWhiu4QetkloYruEHrZJaGK7+I+q/Hb27Flp3Lix2/m8CkNW5cOG+mPuAoiz+ctP93aZqqMF9Sirbt26Hn4CeEIFIcJQaGGbhCa2S+hhm4QmtkvoYZuEJraLf7itHudLBwoJCQkSFRXlUGKTm5vrULJjlZiY6HT+6OhoXYrjbh5XywQAAACAyvIqDMXGxuousnfu3Gk3XT3v1auX09f07NnTYf4dO3ZI165dJSYmxu08rpYJAAAAAJXldTU51U5HdX2twowKMStXrtTdaqse4qxteY4fPy6rV6/Wz9X0l156Sb/ugQce0D3IvfLKK3a9xE2ePFn69u0r8+fPl6FDh8pbb70lu3btko8++qjSHxDeU9UPZ82a5VANEVWHbRKa2C6hh20SmtguoYdtEprYLmHQtbZ10NXf//73kpOTI+3bt5dFixbpMKOMHTtWjh49Krt377YbdPXxxx+Xb775RjdiUt1tW8OT1aZNm+Tpp5+Ww4cPS4sWLeS5556TYcOG+eMzAgAAAIB/whAAAAAAGNVmCAAAAACqC8IQAAAAACMRhgAAAAAYiTAEAAAAwEiEIeie+9SYTjVr1pS6det6tEZUr4ERERF2jx49erA2q3i7qP5Qnn32Wd1rY40aNeSmm27SvTjCP3744Qc9tIAa0Vo91P/z8/PdvoZjxf9Uj6apqakSHx+vx75LT093O7/q0VTNp+Zv3ry5rFixIgDvCt5sF9XjbPlziHp8++23rEg/2bNnj9xxxx36fKDW7ZtvvlnhazhWQmubcJwEB2EIUlRUJD/96U/loYce8mptDBw4UHevbn1s27aNtVnF20V1eb9w4UI9ttff/vY3SUxMlH79+snZs2fZNn5w3333yYEDB+T999/XD/V/FYgqwrHiPxs3bpQpU6bIjBkzJCMjQ/r06SODBg3S4905c+TIERk8eLCeT80/ffp0eeyxx2Tz5s1+fFfwdrtYHTx40O480rJlS1amn5w/f146duyozwee4FgJvW1ixXESYKprbUB59dVXLXXq1PFoZdx///2WoUOHsuJCaLtcvnzZkpiYaPnd735nm1ZQUKBfu2LFigC/y+rvH//4hxqGwPLJJ5/Ypu3bt09P+/bbb12+jmPFv7p162aZOHGi3bQ2bdpYnnrqKafzP/HEE/r3ZT344IOWHj16+Pmdmc3b7fLXv/5VHzs//PBDkN6h2dS63rp1q9t5OFZCb5twnAQHJUPwmSq+bdiwobRq1UoeeOAByc3NZW1WIXVX78SJE9K/f3+7kaxvvPFG2bt3L9umkvbt26erxnXv3t02TVUNVdMqWr8cK/4rLd2/f7/dPq6o5662gdpu5ecfMGCAfP7553Lp0iU/vTOz+bJdrDp16iRJSUly6623yl//+tcAv1O4w7ESujhOAoswBJ+o6g9r166VDz74QBYsWKCrZN1yyy1SWFjIGq0iKggpjRo1spuunlt/h8qtXxX+y1PT3K1fjhX/ycvLk5KSEq/2cTXd2fzFxcV6eaia7aIC0MqVK3V1xS1btkjr1q11IFJtKlA1OFZCD8dJcEQH6e8gyFQj+tmzZ7udRwWYrl27+rT8ESNG2P7fvn17vZymTZvKu+++K8OGDfNpmSYI9HZRVKPMslRpfPlp8H6bOFu3nqxfjhX/83Yfdza/s+kI3nZR4Uc9rHr27CnZ2dny/PPPS9++fdkUVYRjJbRwnAQHYaiaeuSRR+Tee+91O0+zZs38evdChaFDhw75bZnVUSC3i+oswXp3T20PK1V9sfwdW3i/Tb766iv5z3/+4/C7kydPerV+OVZ8l5CQIFFRUQ6lDe72cXVcOJs/Ojpa6tevX4l3g8psF2dUtdM1a9awYqsIx0p44DjxP8JQNT45qUewnDp1St/VK3sRjuBuF9WlrTqZ7dy5U9cvttblV12lzp8/n81RyW2i7lyfPn1aPvvsM+nWrZue9umnn+ppqgt0T3Gs+C42NlZ32az28bvuuss2XT0fOnSoy+32zjvv2E3bsWOHLn2NiYmpxLtBZbaLM6oXOs4hVYdjJTxwnARAkDpqQAg7duyYJSMjwzJ79mzLVVddpf+vHmfPnrXN07p1a8uWLVv0/9X0X/7yl5a9e/dajhw5ons76dmzp+Xaa6+1nDlzpgo/idnbRVE9yane49S0r7/+2vKzn/3MkpSUxHbxk4EDB1quu+463YucenTo0MEyZMgQu3k4VgJrw4YNlpiYGMsrr7yie/ibMmWKpVatWpajR4/q36vey0aPHm2b//Dhw5aaNWtaHn/8cT2/ep16/aZNmwL8Ts3i7XZZtGiR7knru+++s/z973/Xv1eXJJs3b67CT1G9qHOF9byh1u3ChQv1/9W5ReFYCf1twnESHIQh6K5/1UFZ/qFCjm1HEdFdPCsXLlyw9O/f39KgQQN98ktJSdHLyMrKYm1W4Xaxdq89a9Ys3cV2XFycpW/fvjoUwT9OnTplGTlypOXqq6/WD/X/8l0Dc6wE3tKlSy1Nmza1xMbGWjp37mz58MMP7Y6bG2+80W7+3bt3Wzp16qTnb9asmWX58uVBeJfm8Wa7zJ8/39KiRQtLfHy8pV69epYf//jHlnfffbeK3nn1ZO2WufxDbQuFYyX0twnHSXBEqH8CUeIEAAAAAKGMrrUBAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABiov8PtFBDkGYiMq0AAAAASUVORK5CYII=", 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", + "image/png": 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", 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", 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", 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", 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", 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", 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", 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", + "image/png": 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", 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", + "image/png": 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", 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", 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", 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", + "image/png": 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", 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", 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", 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tIKmQwP/93//F6NGjo60TdAAAoJVK5alTCw47U3UNAADIHUEHAADIHUEHAICisHXr1pa+BHL0XDBGpwmkUoi1q4M0V+13AIDWKE2q2b59+3jhhRfi4IMPztZfb8JL8qmqqio2b94ca9asyZ4T6bmwpwSdAmuo3nuqyZ7KFQIAUFd6Q5vmS3nxxRezsAMlJSVRVlaWPTf2lKBTYKklJ4WcuXO3BZ7WWpMdAKA5pU/u0xvb1157LbZs2eLmt2EdOnSIjh077nWrnqDTRFLIGTIkml3tbnLCFQDQmqQ3tp06dcoW2FuCTk6kUJO6x5WXb9+W1lPw0ZIEAEBbI+jkRAozKdRUF0FIX6fQk9YFHQAA2hpBJ0dSoBFqAADAPDoAAEAOmTAUAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADIHUEHAADInY4tfQE0rYqKuuulpRFlZe46AAD5JujkVAo0JSUR5eV1t6dtKfwIOwAA5Jmgk1MpyKRAU1m5fVtaT8EnbRN0AADIM0Enx1KYEWgAAGiLFCMAAAByR9ABAAByR9ABAAByR9ABAAByZ4+CzqxZs6Jfv37RtWvXGDFiRCxevHiX+69duzY+/elPxyGHHBJdunSJo48+On7yk5/s6TUDAAAUturavHnzYvLkyTF79uws5MycOTPGjBkTy5Ytix49euy0/+bNm+Pd73539tgPf/jD6NOnTzz77LOx//77N/bUAAAATRN0ZsyYERMnTowJEyZk6ynw3HPPPTFnzpy46KKLdto/bf/73/8eDz30UHTq1CnbllqDAAAAiqLrWmqdWbJkSYwePXr7N2jfPltftGhRvcfcddddMXLkyKzrWs+ePeO4446LK664IrZs2dLgeTZt2hTr16+vswAAADRJ0KmsrMwCSgostaX1lStX1nvMU089lXVZS8elcTmXXHJJXHPNNXH55Zc3eJ7p06dH9+7da5a+ffs25jIBAIA2rsmrrm3dujUbn3PDDTfE0KFDY+zYsXHxxRdnXd4aMmXKlFi3bl3NsmLFiqa+TAAAoK2O0SktLY0OHTrEqlWr6mxP67169ar3mFRpLY3NScdV69+/f9YClLrCde7ceadjUmW2tAAAADR5i04KJalVZsGCBXVabNJ6GodTnxNPPDGeeOKJbL9qf/nLX7IAVF/IAQAAaPaua6m09I033hg333xzVFRUxLnnnhsbNmyoqcI2bty4rOtZtfR4qrp2/vnnZwEnVWhLxQhScQIAAICiKC+dxtisWbMmpk6dmnU/Gzx4cMyfP7+mQMHy5cuzSmzVUiGBe++9Ny644IIYOHBgNo9OCj0XXnhhYX8SAACAf2lXVVVVFUUulZdO1ddSYYJu3bpFMVu6NGLo0IglSyKGDImiUszXBgAAhcwGjW7RofWrqNj+dWlpRFlZS14NAAAUnqDThqRQU1ISUV6+fVtaT8FH2AEAIE8EnTYkhZkUaiort62nr1PoSeuCDgAAeSLotDEp0Ag1AADkXaPLSwMAABQ7QQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMidji19AXmwfHlEZeW2rysqotWpfc2lpRFlZS15NQAAsPcEnQKEnP79IzZu3L6tpGRbYGj2lLWj10kt6eF0reXl27el9RR8hB0AAFozQWcvpYyRQs7cudsCT5O0ijQUZtasiTj99Lopq7bXSS1pc3q4dmtUCj1pXdABAKA1E3QKJIWcIUOieZqMdgwz8+dHHHxw3e27mVrSQ0INAAB5I+i0xiaj2gyqAQCAnQg60dabjAAAIH+UlwYAAHJH0AEAAHJH0AEAAHLHGJ28a2gGU0UMAADIMUEnr+qbDbQ2M4MCAJBjgk5e7TgbaG1mBgUAIOcEnWKRJgZtKJTsKbOBAgDQRgk6xRJy0jw5aWLQhrqZpa5oAADAbhF0ikFqyUkhZ+7cbYFnRwoHAABAowg6xSSFnCFDWvoqAACg1TOPDgAAkDuCDgAAkDuCDgAAkDuCDgAAkDt7FHRmzZoV/fr1i65du8aIESNi8eLFDe570003Rbt27eos6TiKQJqjZ+nS7Uv1nD0vvtjSVwYAAM1bdW3evHkxefLkmD17dhZyZs6cGWPGjIlly5ZFjx496j2mW7du2ePVUtihBaVy1WlunvLyHR44PiKWRpxxRsSy72+bcBQAANpC0JkxY0ZMnDgxJkyYkK2nwHPPPffEnDlz4qKLLqr3mBRsevXqtfdXS2GkAJNab9L8PbVV7BORss8r/9z2mKADAEBbCDqbN2+OJUuWxJQpU2q2tW/fPkaPHh2LFi1q8LiXX345Dj300Ni6dWsMGTIkrrjiinjTm97U4P6bNm3Klmrr169vzGWyO1KIEWQAAMipRo3RqaysjC1btkTPnj3rbE/rK1eurPeYY445Jmvt+dGPfhRz587Nws5b3/rWeO655xo8z/Tp06N79+41S9++fRtzmQAAQBvX5FXXRo4cGePGjYvBgwfHqFGj4vbbb4+DDz44vvWtbzV4TGoxWrduXc2yYsWKpr5MAACgrXZdKy0tjQ4dOsSqVavqbE/ruzsGp1OnTnH88cfHE0880eA+Xbp0yRYAAIAmb9Hp3LlzDB06NBYsWFCzLXVFS+up5WZ3pK5vjz76aBxyyCGNv1qaRUX0j6UV+2QVp5cvd9MBAGgDVddSaenx48fHsGHDYvjw4Vl56Q0bNtRUYUvd1Pr06ZONs0m+/OUvx1ve8pY48sgjY+3atXH11VfHs88+G5/85CcL/9Ow91Wnu26J8ldu2VZ9LbZVoU4F2tQtAAAg10Fn7NixsWbNmpg6dWpWgCCNvZk/f35NgYLly5dnldiq/eMf/8jKUad9DzjggKxF6KGHHooBAwYU9iehMFWnf/jnqDxlfMTcW7KWnTTVjkrTAADkPugkkyZNypb6LFy4sM76tddemy20DmWHvBpl8YeI/v9s6UsBAIDirboGAADQ3AQdAAAgdwQdAAAgdwQdAAAgd/aoGAF7KE1Kk0qY7SjVbwYAAApG0GnOkNO/f8TGjfU/niasSRPZFIssfO0TEf3/9fW/qrClazSpDgAARU7QaS6pJSeFnLlztwWeHRVLgMhmDS2JbAKdOD4ilkaUnx2RSk4nZhAFAKAVEHSaWwo5Q4ZEcc8aWrEtmFXsE5Hyztxbts2rk7abQRQAgFZA0KH+sFO7dSkLZ24UAACth6prAABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7gg6AABA7nRs6Qug+FVUVH+xT0QcH6UvdoqyFr4mAADYFUGHBpWWRpSURJSXV2/pHxFLo+TDr0XF/z0aZYe8uvMBZSIQAAAtT9ChQSmzpNacysp/bXjxxag4/eIo3zQnKk8ZH2Xxh7oHpFSUDhB2AABoYYIOu5Qyy/bcckjE7V+JOCUi5t4S0f+f23dMASc1/aRUJOgAANDCBB0a55BDtv3bv3/EEDcPAIDipOoaAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO3sUdGbNmhX9+vWLrl27xogRI2Lx4sW7ddxtt90W7dq1i9NOO21PTgsAANA0QWfevHkxefLkmDZtWixdujQGDRoUY8aMidWrV+/yuGeeeSY+97nPxdvf/vbGnhIAAKBpg86MGTNi4sSJMWHChBgwYEDMnj07SkpKYs6cOQ0es2XLljj77LPjS1/6Uhx++OGNPSUAAEDTBZ3NmzfHkiVLYvTo0du/Qfv22fqiRYsaPO7LX/5y9OjRIz7xiU/s1nk2bdoU69evr7MAAAA0SdCprKzMWmd69uxZZ3taX7lyZb3HPPjgg/Gd73wnbrzxxt0+z/Tp06N79+41S9++fRtzmQAAQBvXpFXXXnrppfjYxz6WhZzS0tLdPm7KlCmxbt26mmXFihVNeZkAAEDOdGzMzimsdOjQIVatWlVne1rv1avXTvs/+eSTWRGCD3zgAzXbtm7duu3EHTvGsmXL4ogjjtjpuC5dumQLAABAk7fodO7cOYYOHRoLFiyoE1zS+siRI3fa/9hjj41HH300Hn744Zrl1FNPjXe+853Z17qkAQAALd6ik6TS0uPHj49hw4bF8OHDY+bMmbFhw4asClsybty46NOnTzbOJs2zc9xxx9U5fv/998/+3XE7AABAiwWdsWPHxpo1a2Lq1KlZAYLBgwfH/PnzawoULF++PKvERhtVUVH/9jRGq6ysua8GAIA2qtFBJ5k0aVK21GfhwoW7PPamm27ak1NS7FKQKSmJKC+v//H0WApBwg4AAMUadNiF5ctTHe7db+nIixRg0s/Y0M+eAlB6TNABAKAZCDqFDjn9+0ds3Nhwq0Yjymy3OinECDIAABQBQaeQUotFCjlz524LPDkep1K7gSpHPxYAADkh6DSFFHKGDIm2MhTH8BsAAIqNoMNeDcUx/AYAgGIk6NBohuIAAFDsTHgDAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkjqADAADkTseWvgDakIqK+reXlkaUlTX31QAAkGOCDk0vBZmSkojy8vofT4+lECTsAABQIIIOTS8FmBRkKit3fixtTwEoPSboAABQIIIOzSOFGEEGAIBmohgBAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQOyYMpSAqKrZ/XVpqblAAAFqWoMNeSaGmpCSivHz7trSegk9ZmZsLAEDLEHTYKynMpFBTWbltPX2dQk9aF3QAAGhVY3RmzZoV/fr1i65du8aIESNi8eLFDe57++23x7Bhw2L//fePfffdNwYPHhzf+9739uaaKTIp0AwZsm3p37+lrwYAAPYg6MybNy8mT54c06ZNi6VLl8agQYNizJgxsXr16nr3P/DAA+Piiy+ORYsWxSOPPBITJkzIlnvvvdf9BwAAiiPozJgxIyZOnJiFlQEDBsTs2bOjpKQk5syZU+/+J510UnzoQx+K/v37xxFHHBHnn39+DBw4MB588MFCXD8AAMDeBZ3NmzfHkiVLYvTo0du/Qfv22XpqsXk9VVVVsWDBgli2bFm84x3vaHC/TZs2xfr16+ssAAAATVKMoLKyMrZs2RI9e/assz2tP/744w0et27duujTp08WYDp06BD//d//He9+97sb3H/69OnxpS99KYrV8uV1B98DAABtsOrafvvtFw8//HC8/PLLWYtOGuNz+OGHZ93a6jNlypRsn2qpRadv375RLCEnDbjfuLFuOeVUZjn+FX4AAIBWFHRKS0uzFplVq1bV2Z7We/Xq1eBxqXvbkUcemX2dqq5VVFRkrTYNBZ0uXbpkSzFKLTkp5Mydu73CWM0EmYIOAAC0vjE6nTt3jqFDh2atMtW2bt2arY8cOXK3v086JnVja81SyKkuqWy+GAAAaOVd11KXsvHjx2dz4wwfPjxmzpwZGzZsyKqwJePGjcvG46QWmyT9m/ZNFddSuPnJT36SzaNz/fXXF/6nAQAA2JOgM3bs2FizZk1MnTo1Vq5cmXVFmz9/fk2BguXLl2dd1aqlEHTeeefFc889F/vss08ce+yxMXfu3Oz7AAAAFE0xgkmTJmVLfRYuXFhn/fLLL88WAACAop0wFAAAoNgJOgAAQO40yzw68Lp2NfNqTf1uAADYPYIOLSuFmDTjanl5w/ukx1MQEnYAANhNgg4tK4WXFGLSTKz1SY+lEJQeF3QAANhNgg4tLwUYIQYAgAJSjAAAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMgdQQcAAMidji19AeRTRcX2r0tLI8rKWvJqAABoawQdCiqFmpKSiPLy7dvSego+wg4AAM1F0KGgUphJoaayctt6+jqFnrQu6AAA0FwEHQouBRqhBgCAlqQYAQAAkDuCDgAAkDuCDgAAkDuCDgAAkDuCDgAAkDuCDgAAkDuCDgAAkDuCDgAAkDsmDKV1qKiof3tpqdlJAQDYiaBDcUtBpqQkory8/sfTYykElZU195UBAFDEBB2KWwowKchUVu78WNqeAlB6TNABAKAWQYfil0KMIAMAQCMoRgAAAOSOoAMAAOSOoAMAAOSOoAMAAOSOoAMAAOSOoAMAAOTOHgWdWbNmRb9+/aJr164xYsSIWLx4cYP73njjjfH2t789DjjggGwZPXr0LvcHAABo9qAzb968mDx5ckybNi2WLl0agwYNijFjxsTq1avr3X/hwoVx1llnxf333x+LFi2Kvn37xnve8554/vnn9/riAQAAChJ0ZsyYERMnTowJEybEgAEDYvbs2VFSUhJz5sypd/9bbrklzjvvvBg8eHAce+yx8e1vfzu2bt0aCxYsaPAcmzZtivXr19dZAAAAmiTobN68OZYsWZJ1P6v5Bu3bZ+uptWZ3bNy4MV599dU48MADG9xn+vTp0b1795oltQIBAAA0SdCprKyMLVu2RM+ePetsT+srV67cre9x4YUXRu/eveuEpR1NmTIl1q1bV7OsWLGiMZcJAAC0cR2b82RXXnll3Hbbbdm4nVTIoCFdunTJlqJWURER/6xnGwAA0KqCTmlpaXTo0CFWrVpVZ3ta79Wr1y6P/drXvpYFnZ///OcxcODAaLVefDEiDokoPzsi/rDz4yUl6Ua1xJUVtR0zYLpFZWUtdTUAAORdo4JO586dY+jQoVkhgdNOOy3bVl1YYNKkSQ0e99WvfjW+8pWvxL333hvDhg2LVm3t2m1B57LLI95fT7jzDn6n25GyX3l53e1pWwo/wg4AAEXRdS2Vlh4/fnwWWIYPHx4zZ86MDRs2ZFXYknHjxkWfPn2yggLJVVddFVOnTo1bb701m3uneizPG97whmxptQ47LGJI/5a+iqKXgkwKNJWV27el9RR80jZBBwCAogg6Y8eOjTVr1mThJYWWVDZ6/vz5NQUKli9fnlViq3b99ddn1drOOOOMOt8nzcNz6aWXFuJnoMilMCPQAABQ9MUIUje1hrqqpUIDtT3zzDN7dmUAAADNNWEoAABAsRN0AACA3BF0AACA3BF0AACA3BF0AACA3NmjqmtQVNLEPPUxeSsAQJsl6NB6pSBTUrJt9tH6pMdSCDKJDwBAmyPo0HqlAJOCTGXlzo+l7SkApccEHQCANkfQoXVLIUaQAQBgB4oRAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAudOxpS+AtquiYvvXpaURZWUteTUAAOSJoEOzS6GmpCSivHz7trSego+wAwBAIQg6NLsUZlKoqazctp6+TqEnrQs6AAAUgqBDi0iBRqgBAKCpKEYAAADkjqADAADkjq5rtJ3SbrUp8wYAkGuCDm2ntFttyrwBAOSaoEPbKO1WmzJvAAC5J+iQX0q7AQC0WYoRAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAuSPoAAAAubNHQWfWrFnRr1+/6Nq1a4wYMSIWL17c4L5/+tOf4sMf/nC2f7t27WLmzJl7c70AAACFDzrz5s2LyZMnx7Rp02Lp0qUxaNCgGDNmTKxevbre/Tdu3BiHH354XHnlldGrV6/Gng4AAKDpg86MGTNi4sSJMWHChBgwYEDMnj07SkpKYs6cOfXuf8IJJ8TVV18dZ555ZnTp0qXxVwgAANCUQWfz5s2xZMmSGD169PZv0L59tr5o0aIolE2bNsX69evrLAAAAE0SdCorK2PLli3Rs2fPOtvT+sqVK6NQpk+fHt27d69Z+vbtW7DvDQAA5F9RVl2bMmVKrFu3rmZZsWJFS18SzaCiImLp0m3L8uVuOQAAe65jY3YuLS2NDh06xKpVq+psT+uFLDSQxvIYz9N2lJZGlJRElJdv35bWU/ApK2vJKwMAoE206HTu3DmGDh0aCxYsqNm2devWbH3kyJFNcX20ASnMpFCzZMm2Ze7cVK0vdZVs6SsDAKBNtOgkqbT0+PHjY9iwYTF8+PBsXpwNGzZkVdiScePGRZ8+fbJxNtUFDP785z/XfP3888/Hww8/HG94wxviyCOPLPTPQysOO83eepPSVUNNTJqSAADaVtAZO3ZsrFmzJqZOnZoVIBg8eHDMnz+/pkDB8uXLs0ps1V544YU4/vjja9a/9rWvZcuoUaNi4cKFhfo5YO/6ytWm3xwAQNsLOsmkSZOypT47hpd+/fpFVVXVnl0dNGVfufr6xqXtKQClx7TqAAC0raADrV6L9JUDAKBNl5cGAADYG4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQO4IOAACQOx1b+gKgIRUV278uLY0oK3OvAADYPYIORSeFmpKSiPLy7dvSego+wg4AALtD0KHopDCTQk1l5bb19HUKPWm92YJO7eak2jQtAQC0CoIORSkFmhZpvamvOak2TUsAAK2CoAO7ak6qrUWalgAA2BOCDhRNcxIAAIWivDQAAJA7gg4AAJA7gg4AAJA7gg4AAJA7gg4AAJA7gg4AAJA7ykvTaqRpbHac21MVaAAA6iPoUPRSoCkp2TZXZ21pWwo/zR52dkxc1SQvAICiIehQ9FKQSdmisnL7trSegk/a1mxBp6HE1eLJCwCAHQk6tAopO7R4fqgvcbVo8gIAoCGCDrS6xAUAwOtRdQ0AAMgdQQcAAMgdQQcAAMgdY3Ro1WpXei6K6s5KTwMAFAVBh1apvkrPLVrdWelpAICiIujQKu1Y6bnFqzsrPQ0AUFQEHVqtoqv0XHQXBADQdgk60FyM3wEAaDaCDjQ143cAAJqdoEOuFF0VtsT4HQCAZifokAtFV4WtseN3dGsDACgoQYdcV2F74IGI/v2LrIWnNt3aAACahKBDbtRuNCn6Fp7GdGurndZqK8rkBgDQioPOrFmz4uqrr46VK1fGoEGD4rrrrovhw4c3uP8PfvCDuOSSS+KZZ56Jo446Kq666qp4//vfvzfXDXvdwlM0WaGhbm2709pz++0RBx9c/7Et/oMBALSioDNv3ryYPHlyzJ49O0aMGBEzZ86MMWPGxLJly6JHjx477f/QQw/FWWedFdOnT49TTjklbr311jjttNNi6dKlcdxxxxXq54BGt/C8XlZo8bywq9aeNWsiTj894r3vrf/Y1/vB9oTwBAC0Iu2qqqqqGnNACjcnnHBCfPOb38zWt27dGn379o3PfOYzcdFFF+20/9ixY2PDhg1x991312x7y1veEoMHD87CUn02bdqULdXWrVsXZWVlsWLFiujWrVu0pIfnLYtR/3FM/PKGZTF47DEtei00zooVEX/72/b1lB9S8PnnPxs+Zp99IubO3fYev+isWhmxdt3O29eujbjkixGbXins+bp0jbjs8oj99y/s9wUKqtdBr0av0tfcVaCwevXathSB9evXZ/lj7dq10b1794Z3rGqETZs2VXXo0KHqjjvuqLN93LhxVaeeemq9x/Tt27fq2muvrbNt6tSpVQMHDmzwPNOmTUvhy+IeeA54DngOeA54DngOeA54DngOeA5U1XcPVqxYscvs0qiua5WVlbFly5bo2bNnne1p/fHHH6/3mDSOp7790/aGTJkyJeseVy21Gv3973+Pgw46KNq1axfFkCCLoXUpz9xn9zlvPKfd5zzxfHaf88ZzunXd59Qh7aWXXorevXu3vqprXbp0yZba9i+y7jLplyPouM954fnsXueN57T7nCeez+513nQrwPvoXXZZ+5f2jfmGpaWl0aFDh1i1alWd7Wm9VwN99tL2xuwPAACwtxoVdDp37hxDhw6NBQsW1OlWltZHjhxZ7zFpe+39k/vuu6/B/QEAAPZWo7uupbEz48ePj2HDhmVz56Ty0qmq2oQJE7LHx40bF3369MnKSSfnn39+jBo1Kq655po4+eST47bbbovf//73ccMNN0RrlLrUTZs2baeudbjPrZHns3udN57T7nOeeD6713nTpZnfRze6vHSSSktXTxiaykR/4xvfyMpOJyeddFL069cvbrrppjoThn7xi1+smTD0q1/9qglDAQCA4go6AAAAuRmjAwAA0BoIOgAAQO4IOgAAQO4IOgAAQO4IOo0wa9asrKJc165dsypzixcvbrrfTBuVypKfcMIJsd9++0WPHj3itNNOi2XLlrX0ZeXelVdeGe3atYvPfvazLX0pufP8889HeXl5HHTQQbHPPvvEm9/85qzEPoWzZcuWuOSSS+Kwww7L7vERRxwRl112Wai1s/d+9atfxQc+8IHo3bt39jfizjvvrPN4usdTp06NQw45JLv3o0ePjr/+9a8FOHPbsqv7/Oqrr8aFF16Y/e3Yd999s33SVB4vvPBCi15zHp/PtX3qU5/K9knTqNA097qioiJOPfXU6N69e/bcTu//li9fHoUk6OymefPmZXMIpdrfS5cujUGDBsWYMWNi9erVBf2FtHW//OUv49Of/nT85je/ySaWTX/g3/Oe92RzNdE0fve738W3vvWtGDhwoFtcYP/4xz/ixBNPjE6dOsVPf/rT+POf/5zNKXbAAQe41wV01VVXxfXXX59NfZBeONN6msbguuuuc5/3Uvrbm17v0gd99Un3OU0xMXv27Pjtb3+bvVlJr42vvPKKe1+g+7xx48bsfUcK8+nf22+/PfsAML1BpLDP52p33HFH9j4kvUmnae71k08+GW9729vi2GOPjYULF8YjjzySPcdTY0JBpfLSvL7hw4dXffrTn65Z37JlS1Xv3r2rpk+f7vY1odWrV6fy51W//OUv3ecm8NJLL1UdddRRVffdd1/VqFGjqs4//3z3uYAuvPDCqre97W3uaRM7+eSTq84555w6204//fSqs88+270voPS3+I477qhZ37p1a1WvXr2qrr766ppta9eurerSpUvV97//ffe+QPe5PosXL872e/bZZ93nAt/n5557rqpPnz5Vjz32WNWhhx5ade2117rHTXCvx44dW1VeXl7V1LTo7IbNmzfHkiVLsib5au3bt8/WFy1aVNjkSR3r1q3L/j3wwAPdmSaQWs9OPvnkOs9tCueuu+6KYcOGxUc+8pGsK+bxxx8fN954o1tcYG9961tjwYIF8Ze//CVb/+Mf/xgPPvhgvO9973Ovm9DTTz+dTRxe++9H6oKSunZ7bWz618bUHWj//fdv4jO1LVu3bo2Pfexj8fnPfz7e9KY3tfTl5Po+33PPPXH00UdnLcDp9TH93dhVV8I9JejshsrKyqwPeM+ePetsT+vpjzxN9z9CGjOSuv4cd9xxbnOB3XbbbVk3iDQuiqbx1FNPZV2qjjrqqLj33nvj3HPPjf/8z/+Mm2++2S0voIsuuijOPPPMrAtE6iaYAmX623H22We7z02o+vXPa2PzSt0C05ids846K7p169bMZ8+31O21Y8eO2d9pmk4a9vHyyy9n44Pf+973xs9+9rP40Ic+FKeffno2hKGQOhb0u0GBWxsee+yx7JNZCmvFihVx/vnnZ+OgCt4fljphPbXoXHHFFdl6egOentNpPMP48ePdqQL53//937jlllvi1ltvzT6Fffjhh7Ogk/rXu8/kSRq3+tGPfjQrApE+RKFwUs+dr3/969kHgKm1jKZ9bUw++MEPxgUXXJB9PXjw4HjooYey18dRo0YV7FxadHZDaWlpdOjQIVatWlVne1rv1atXwX4ZbDdp0qS4++674/777483vvGNbk0T/EFPn6gMGTIk+/QqLelTlDSoOH2dWjDZe6kS1YABA+ps69+/f8GryrR1qZtJdatOqkyVup6kF0+tlU2r+vXPa2Pzhpxnn302+5BKa05hPfDAA9nrYllZWc3rYrrX//Vf/5VV3KWw76vT/W2O10dBZzd07tw5hg4dmvUBr51G0/rIkSML+gtp69KnVCnkpIonv/jFL7JysRTeu971rnj00UezT76rl9TykLr6pK9TsGfvpW6XO5ZHT+NIDj30ULe3gFJVqjRusrb0HK7+1JCmkf4+p7BT+7Vx/fr1WfU1r41NE3JS6e6f//znWbl6Cit9QJIqf9V+XUytwumDlNT1mMK+r06lpJvj9VHXtd2USkunLhDpzeDw4cOzuuqpdN6ECRMK+gtp61J3tdT95Ec/+lE2l051H/A0wDXN0UBhpHu747inVBY2vXgaD1U4qVUhDZRPXdfSm5Q099YNN9yQLRROmqvhK1/5SvZJbOq69oc//CFmzJgR55xzjtu8l1I/+ieeeKJOAYL0BjAViEn3O3URvPzyy7NxaCn4pPKw6c1hmgONwtzn1DJ8xhlnZF2qUk+H1OJe/dqYHk9vGinM83nHAJnG/KUwf8wxx7jFBb7XKUCOHTs23vGOd8Q73/nOmD9/fvz4xz/OSk0XVJPXdcuR6667rqqsrKyqc+fOWbnp3/zmNy19SbmTnpL1Ld/97ndb+tJyT3nppvHjH/+46rjjjstK7h577LFVN9xwQxOdqe1av359Vho9/X3u2rVr1eGHH1518cUXV23atKmlL63Vu//+++v9mzx+/PiaEtOXXHJJVc+ePbPn+Lve9a6qZcuWtfRl5+o+P/300w2+NqbjKMx9ro/y0k17r7/zne9UHXnkkdnf7UGDBlXdeeedVYXWLv2nsNEJAACgZRmjAwAA5I6gAwAA5I6gAwAA5I6gAwAA5I6gAwAA5I6gAwAA5I6gAwAA5I6gAwAA5I6gAwAA5I6gAwAA5I6gAwAARN78f4VHdtdKYvYEAAAAAElFTkSuQmCC", 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", 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", 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8RrZu3Sp79uyRv/zlL/Lll1+47Ke6tKmwoyb5jxv329pmBXfeeacsXbpUXnnlFX3s/PlzZc+e/7hVeeobPXq0boBw6623yn//+19577339HOpeUBt29YMW1Md4v7xj3/o2xd7vpD58yfLMWfZx0e33HKLDk9qHtHu3btl/fr18thjj0koMHQNAAAAlua6hoz1Xmfs2LG6YtGnTx/dXloFBtVeWYUN1Yb5wQcf1N3Yevbsqb/kDx8+vPZYNSRNBZh7771XLr/8cn18TXvp/nqh0LrU3Be17+WXXyEzZ46W1157VQcWFaJUJ7OysjIZMeJmuf76cVJY6FrlqU/NmdmwYYMOZL/4xS/0/ZEjR8rChQtr91Hd31Q1Rv18sbFxcvPNU+Wy/3OZX9fmrLPOkjfffFNycnLkkksu0RWe+fPn69cKthhHOAfO+Uil3ObNm+sE2axZs3CfDgAAAEykvqAXFhZKZmamrjI4FRXVtDZWi4aGipozrwKP24KhzjZo6oR8mFfTWN5erqHHrrrqWunUqZ2sXPkX887nyGkpKGwqWZmnJaVVUwnXe8KfbEBFBwAAAJakwob6Ql9SErrXTE01CDkhXoNUKSvz7Xi1Hs5zzz2nGxyoatArr6yUTz/9l8ycuVGiHUEHAAAAlqVCRyiDRzjWIP2xQZkb1QZaNWfzRg2PU/Ne5s6dK+Xl5dK5c1eZP/81ufLKayTaEXQAAAAAC61B6qRCjuqQ5k3Tpk3lX//6V+39+guNRjOCDgAAAGDWWDIT1iCFOQg6AAAAiC6ewozaphb7bMxYMlgGvykAAABYQrWngBHqiTGdOxsHGl/GkoWQUZEpiIWniHsvEHQAAAAQVmpRTbWo5HfffSetW7fW9xta8DJgqle1+hJ97rnGoUWFmYQE42PVqiwBJImKCuMCkspczn9jY31/PrW+jro8hYXGj6vHqqrMDT3lFepkY/S/sWVB+t3oS+yQiooKOXz4sH5PqPdCoAg6AAAACCv1hVatl1JcXKzDjt+z+Y2f1Lgqo1KH6lcdH+850JhInaL6kTytXKlCicpb/o6IU6fu7Uc/cEBMVXHqjJSUxEu8nJGEo/ESbGoB04yMDP3eCBRBBwAAAGGn/nKvvthWVlZKlSpHNESlhxEjRE6fNn68aVORf/xDpH171+1q2FpOjshrr4l07SrBpl5u0iSRBQtEOnVyf/ycc9xP0Yp2vblXcu7NlNcW7JWuwzKD+lpqPaC4uLhGV/UIOgAAALAE9cU2Pj5e3xp09KjI55+L5OaKZGW5Pqb6K2dn1+xTP12oL8/ffFPzr1FPZ5M5X+7880V69pSIFVPRRL75Jkn/mxSC62YGgg4AAAAilwo5nhKE0YIyLDITNQg6AAAAsJfUVDXJo6aqY0Q9pvYxUVFRzdSf+shV4UPQAQAAgL1kZNQkDKPkoaiQo/YxMeSowpJq6BaiXAUfEHQAAABgPyrImBhmvFF5SoUco+lCQchV8BFBBwAAAGhgCJovgcXbdCGEHkEHAAAA1hXCyS++DEFbu1akdeugnwpMQNABAACANYV48ou3IWiHD9cs23PddSE5FZiAoAMAAABrCtPkF09D0ELY3wAmIOgAAADA2iwy+SWE/Q1ggiZmPAkAAAAAWAlBBwAAAIDtMHQNAAAA1u7bDASAoAMAAIDwd09TM/0JOzARQQcAAADh656mAk52ds0+IQo6IVyaB2FE0AEAAED4u6cZpYwwLQrKejj2QNABAABA+EolKlWodKGqOmFeFNR5OoygsweCDgAAAMJXKlGpIsCVOBvT38AiS/MgiAg6AAAACG+pJICVOOlvgIYQdAAAAGCeEJVKfOlvkJdn/BiiA0EHAAAAtspVIZ72A4si6AAAAMBW/Q0aMe0HNkLQAQAAgCUXoWlMK+gApv3AZgg6AAAAsOQiNLSCRmMQdAAAAGDp5EEraASCoAMAAAD/kDwQAZr4e8AHH3wgw4YNk/bt20tMTIysW7euwWPef/996dWrlyQlJUmnTp3kueeeC/R8AQAAAMD8is6pU6ekR48eMn78eBk5cmSD+xcWFsqQIUPkd7/7neTm5srmzZtl8uTJ0rp1a5+OBwAAgL2FsL8BoojfQWfw4MH65itVvcnIyJBFixbp+1lZWbJ161Z57LHHCDoAAABWFCGd1YCwztH56KOPZODAgS7bBg0aJEuXLpUzZ85IfHy82zHl5eX65nT8+PFgnyYAAAAUOqvBJoIedA4ePCht27Z12abuV1ZWSklJiaSlpbkdM2/ePJk9e3awTw0AAAD10VkNNhGSrmuqaUFdDofDcLvT9OnTZdq0aS4VnfT09CCfJQAAAGrRWQ0RLuhBp127drqqU9ehQ4ckLi5OWrVqZXhMYmKivgEAAABASNpL+6tv376yceNGl21vv/229O7d23B+DgAAAACEvKJz8uRJ+eqrr1zaR+/YsUNatmypu6upYWcHDhyQ5cuX68dzcnLkmWee0UPRVItp1ZxANSJYuXJlo08eAAAAAXRPU1Qrs4wMLh9sy++go1pDX3nllbX3nXNpbr31Vlm2bJkUFxdLkfof1Y8yMzNl/fr1MnXqVHn22Wf1QqNPPfUUraUBAADC3T1NtYsm7MCm/A46V1xxRW0zASMq7NR3+eWXy/bt2/0/OwAAAJjfPU0FnOzsmn0IOrCpkHRdAwAAgAW7pxktABqERUFDvAYpoBF0AAAAoo2an6OGrqmqjhH1mNonMtcgBTSCDgAAQLRRw9VUKcVDo4Ki8rZSUnKuSIl/PQy8VW08jaJr6DmBQBF0AAAAopFKFgbpItAeBr4cN2AAgQahQ9ABAACIZCZPfgm0h4G34xSqNgg1gg4AAECkCuLkF289DIJxHGA2gg4AAECkoowCeETQAQAAiHQhLqOEsCs1EDCCDgAAgNVZZBGaEHelBhqFoAMAAGBlFlqEpoGu1DQcgKUQdAAAAKzMYvNwPHSlBiyHoAMAABDO4We+BhbamQF+IegAAACEe/iZt5U4AQSEoAMAABDu4WfeVuIEEBCCDgAAQKgw/AwIGYIOAACAVbBADWAagg4AAEC4hWGBGosszQMEDUEHAAAg3EK8QI2FluYBgoagAwAAYAUhXKDGYkvzAEFB0AEAALCphoan0RsBdkbQAQAAsCGGpyHaEXQAAABsiOFpiHYEHQAAABu3MmN4GqIVQQcAACCCx4pZMFsBlkDQAQAAsMBYMU+BxduhzMMBPCPoAAAAhHmsmC+BRVVo6ocd5uEAnhF0AAAAwsxbYFEBJzu7Zh9PBSHm4QDuCDoAAABmjCMzAYEFMA9BBwAAwN9xZGvXirRuHdLZ/0ZPT8MBwDOCDgAAgK/jyA4fFhkxQuS660LWWU09nXpaNXwtRC8J2AJBBwAAwJ9xZKqMEsJhberpQvySgC0QdAAAAPyhUkWIk0UYXhKIeE3CfQIAAAAAYDaCDgAAAADbYegaAABAmDtW0z0NMB9BBwAAIMwdqxW6pwHmIugAAIDo5KnEEoTyireO1U50TwPMRdABAADRx5dFQYOwOI2njtUAzEfQAQAA0aehEgvlFSDiEXQAAED0osQC2BZBBwAA2FcQ5uF4655GIQiwDoIOAACwpyDMw/HlKVWGysgI4HwBmIqgAwAA7CkI83C8PaUKONnZInl5xo8BCC2CDgAAsLcgzMMxekqVm1RFR4UdI6yTA4QWQQcAAFhfBEyMUaegKjcWP00gahB0AACAtUXQxBh1ChY4DQAEHQAAYHm+TIxR+5AwANRBRQcAAEQG1rwB4Icm/uwMAAAAALYNOosXL5bMzExJSkqSXr16SZ7qo+jFihUrpEePHpKcnCxpaWkyfvx4OXLkSKDnDAAAAADmBp1Vq1bJlClTZMaMGZKfny8DBgyQwYMHS5GaKGjgww8/lLFjx8qECRNk165dsnr1avnss89k4sSJ/r40AAAAAARnjs7ChQt1aHEGlUWLFsmGDRtkyZIlMm/ePLf9P/74Y+nYsaPcdddd+r6qBE2aNEkeffRRf18aAADAmNGKnAUFUiTpUlLQ1PAQ2j0D9uZX0KmoqJBt27bJAw884LJ94MCBsmXLFsNj+vXrp6s/69ev15WfQ4cOyZo1a2To0KEeX6e8vFzfnI4fP+7PaQIAgGjhZZVOFXKypEBKs1Os3pUaQLiDTklJiVRVVUnbtm1dtqv7Bw8e9Bh01BydUaNGSVlZmVRWVsrw4cPl6aef9vg6qjI0e/Zsf04NAABEIy+rdKpKjgo53rpSq2nG9R/zt3AEwEbtpWNiYlzuOxwOt21Ou3fv1sPWHnroIRk0aJAUFxfLvffeKzk5ObJ06VLDY6ZPny7Tpk1zqeikp6cHcqoAAMDuGlil06grtZdCUIPUcep4ADYKOqmpqRIbG+tWvVHD0epXeepWZ/r376/DjXLxxRdLSkqKbmIwd+5c3YWtvsTERH0DAAAIcSGoQcztAWwYdBISEnQ76Y0bN8qNN95Yu13dv+GGGwyPKS0tlbg415dRYclZCQIAALBgIQhAtLWXVkPKXnzxRXnppZekoKBApk6dqltLq6FozmFnqp2007Bhw2Tt2rW6K9u+fftk8+bNeihbnz59pH379ub+NAAAAAAQyBwd1VRALfb5yCOP6Pk23bt31x3VOnTooB9X2+quqTNu3Dg5ceKEPPPMM3L33XdLixYt5KqrrpL58+fzCwAAAD9R3x+MxpLRJhpAAGIcETB+TDUjaN68uRw7dkyaNWsW7tMBAADBCDmqa0Bpqec20eJfm+jt20V69RLZts29GQEA/2xfUSC9srNkW26B9BztR6vCMGaDgLquAQAAmF210SHHoBd0oG2iaQUNRDeCDgAACHvVprY0M2CAxw4BgbSJphU0EL0IOgAAIOxVm0D7NjfUJppW0ED0IugAAADLVG0CQZtoAEYIOgAAwDyqtGJy1QYAAkHQAQAA5jOaUAMAVl4wFAAAAACsjqADAAAAwHYYugYAACzfrA0A/EXQAQAAYQ8zhw+LjBjhvVmb6mMAAL4i6AAAAMt0nn7rLZHWrd0fo1kbAH8RdAAAQEjGmdF5GkAoEXQAAID5pRkv48zoPA0gFAg6AADAP5RmAEQAgg4AAAgMpRkAFsY6OgAAAABsh6ADAAAAwHYYugYAAEzFwp8ArICgAwBANPOUSgJcvKaRDdkAwDQEHQAAopUvqUSti+NH2KEhGwCrIOgAABCtvKUSFXCys2v2MQg6RZIuJQVNPa4XSkM2AOFG0AEAINp5SCWewszhLWfLCCmQ0uwUw6djeBoAKyDoAAAAN0XF8ZLlMcx0lmQ5JW89vUda9+tsxtQeADAdQQcAALgpORonpZIiubdvlqz+LV0fLCyU1Jk5ktFvnYh7IQgALIGgAwAA3LVoof/JWnKn9FyS7/4449MAWBxBBwAAuEtLq/k3d4VI1mn3xxmfBsDiCDoAANhdY1bw1I0KgnJWABBUBB0AAKJ4rZyipC5SUpwmst3/DAQAVkbQAQAgStfK0Z3Vft1NSq9vYngo03AARDKCDgAAUbpWTsl2kdLTxuuFKkzDARDJCDoAAEQ5D+uFAkBEM65VAwAAAEAEo6IDAECkd09TGGcGAC4IOgAARIKiIinqeq2UlKUYPpyadEoyvtgokpER8lMDACsi6AAAEAGKdh6TrLLtUirGQSe57JSsfeM7ad2v3gMFTSVV0oX4AyDaEHQAAIgAJUfjdMjJnVMoWUMyXR47vGWPjLizvVx3Z2eDI7MkWQqkoHgfYQdAVCHoAAAQQbIyyww6pJ2QAsmSkjnPiWS6hqCCzT9I9pL+kpd/lmSluR7FoqAA7IygAwBApEtNlYzkI5Ixc6j7Q5KuKzrZMzNFZrofyqKgAOyKoAMAQKRTDQhUecagI5uam1NQflRKEj00MUilfwEAeyLoAAAQAR2kCwqTGg47Hjquqa00IwAQbQg6AABYKORkXVAtpaeN1vPOlGQ5JaktKsNwZgAQeQg6AABYRMnOYik9nSa5MlqypMB4rZyLNobl3AAg0hB0AACwiqNHRSRNsuaMlp5D2rk/zoQaAPAZQQcAAKvNw1Etontm8XsBgEYg6AAAEMI0U1QcL1m/7sY8HAAIMoIOAABml2YOHxYZMUKktNTtoRK5REplu+QuKpGsAamuDxYUSGr2IMlIW8fvBAAaiaADAEDALdKyDMOMfjipi5Q8/bLIOee4bC/Y/IPIEpGs1MPSs2e9oCOnRWQ/vw8AMAFBBwCAQKhKjgo5ubk1gcdoeNqdRm2ihTbRABACBB0AABpDhZyePV02lWwXKT1tmIEYngYAIWL8p6YGLF68WDIzMyUpKUl69eoleXl5XvcvLy+XGTNmSIcOHSQxMVHOP/98eemllwI9ZwAAIioDudyyTksGw9MAwHoVnVWrVsmUKVN02Onfv788//zzMnjwYNm9e7dkZGQYHnPzzTfL999/L0uXLpWf/exncujQIamsZGVnAIB1+wk4sXQNAERJ0Fm4cKFMmDBBJk6cqO8vWrRINmzYIEuWLJF58+a57f/WW2/J+++/L/v27ZOWLVvqbR07djTj3AEACGY/AS05WY82E6O/5RVJupQUNHXbrvYHAERQ0KmoqJBt27bJAw884LJ94MCBsmXLFsNj3njjDendu7c8+uij8pe//EVSUlJk+PDhMmfOHGna1P3DwTnUTd2cjh8/7s9pAgDQ2H4CtYElO7tmv/pBRzcckAIpzU7xGJBUNQgAEAFBp6SkRKqqqqRt27Yu29X9gwcPGh6jKjkffvihns/z+uuv6+eYPHmy/PDDDx7n6ajK0OzZs/05NQAAzOwn0KCSo3FSKimSO6dQsoZk+j/kzajsQykIAMLbdS0mJsblvsPhcNvmVF1drR9bsWKFNG/evHb420033STPPvusYVVn+vTpMm3aNJeKTnp6eiCnCgBAUGVllvkXklQCUuUeVSoyQikIAEIfdFJTUyU2NtateqOaC9Sv8jilpaXJueeeWxtylKysLB2Ovv32W+ncubPbMaozm7oBAGA7qsyjKjeeOiDQ/QAAQh90EhISdDvpjRs3yo033li7Xd2/4YYbDI9RndlWr14tJ0+elLPOOktv+/LLL6VJkyZy3nnnNfb8AQAIPj2k7LTrtkL1Rz+DiT2+hh2v49oAACEfuqaGlI0ZM0Y3GOjbt6+88MILUlRUJDk5ObXDzg4cOCDLly/X92+55RbdeGD8+PF63o2ao3PvvffKbbfd5rEZAQAAllBcrMYmiGSPFpH8eg9eIiJDRFq0CNPJAQBMDTqjRo2SI0eOyCOPPCLFxcXSvXt3Wb9+vV4MVFHbVPBxUlUcVfG58847dThq1aqVXldn7ty5/r40AAChdfRoTdCZM1dkSDvXx1RbaTXNJi2N3woA2KUZgeqapm5Gli1b5rbtggsu0GEHAICIlJkp0jPAYWoAgLBoEp6XBQAAAACLVXQAAAgLNTSabmUAAB8QdAAAkRNy1MqepaWe159R3dHoZgYAIOgAACKGquSokJObWxN46lIBRy3AqfYJJOgYtY9ubAtpAEBYUdEBAEQWFXJ69gxB+2iFFtIAEKkIOgCA6J3bk3/Qc/tohRbSABCxCDoAgIhRJOlSosJHfQVNJVXSxXDQWlGRFHW9VkrKUtwP08PShohccolIzzTvI9t82AYAsA6CDgAgIhQVx0uWFEhptntgUfNokqVACor3uYWdop3HJKtsu5SK0XEiyU2rJfUi45CTmlrT40BN/zE8NrlmHwCA9RB0AAARMcqsIP8sHVZy5xRK1pBM18fWF0r2zEwpORrnFnTUNk/HKampTTz2L1DbVeWGjtYAEHkIOgCACOkgnSnJckoGXHJSMur3Iigoq/mnMElke72H1DZV88ksC6iHgQo7dKwGgMhD0AEAREQHaVVaSc0eJBlp69yOS21RqUOQqurITOOApPYBAEQPgg4AIEI6SKt1bvYb7p+RdkY3FijJ3WC4xo6ngAQAsC+CDgDAFjJkv2TocWv1F/4s8BiQAAD2RdABAFin4UCgLZtpjwYAqIegAwAwPbA4s4fRJH7vDQcCbNlMezQAQD0EHQBAQHwJLKpCUz/s1DYcUO2eM2u6pdWV2qmZZGSc6/8J0R4NAFAHQQcAYHqHNBVw1CKbeXkGj+WpElCqZM0cKT0l3/eEBACAHwg6AADTO6R5nzKTWtPuedFMkQEdjBOSSlEEHQBAIxB0AACmNw7wOmXG2e55wDqjHtIAAJiCoAMA8KgxjQM8T5nxvB4OAABmIegAAAKah+OtsxoAAOFG0AEABDQPJ6iL5RjtE/AiOwCAaETQAQCYv4BnoGPeWPgTAGASgg4ARLlGLeDpLSEFMuaNhT8BACYh6ABAhPGULQKdM9PgPJzyA5JR8r1I/dc8fFhkxAjvCWnAAP9PiIU/AQAmIOgAgM2qL4GutWk4D8eXF3zrLZHWrd0fo1MBACCMCDoAEEG8VV8aWmszoHk4tF0DAEQogg4AREEXtEbNwwnkBQEACDOCDgBEAQozAIBoQ9ABgChCYQYAEC0IOgBgMwGttWn6QjoAAIQXQQcALCiQ3BHwWpuNnsADAID1EHQAwGICzR0NrrXpaT2cQBf3BADAwgg6AGCjxgEe19r0JT0FsrgnAAAWRdABgDAMQfOlUGJq4wDargEAogxBBwCCxJciiho1ZmoRpaHJPbRdAwBECYIOAASJtyKKyh2qaYDax7SgQ1MBAABqEXQAIMi8FVECagXtCcPTAACoRdABgDAIuBW0LxieBgAAQQcAwqHBVtB0dAYAoFGo6ACACR3SAuGxFXQwVhMFACDKEHQAIFwd0gJBwwEAAHxC0AGAcHRIa0zVJtDVRAEAiCIEHQARN4wsmN/ngzKPXw8pO+37D+FL1WbAAAINAABeEHQAWE5D3/MtNZTMm+JiEUkTyR4tIvm+/xC0iQYAoNEIOgAsp6Hv+c6hZHl5xo97E9KRXUeP1gSdOXNFhrTz/YdwNhWgTTQAAAEj6ACwLE/f8xtag8abxlSCCtYXihSUuT/QooVIWpr7/oVJNf+RmSnSMyuEC+kAAACCDgDbrUHjiS9FFCOp5QckWVpI9sxMP880U5LllKS2qHR/iIV0AAAIKoIOgLBpzHIwgaxBE2gRJSPxeymQvlIy57ma6kxdhYUiM/8gkrvCMD2lZg+SjLR15v0QAAAgeEFn8eLFsmDBAikuLpZu3brJokWLZIDqANSAzZs3y+WXXy7du3eXHTt2BPLSAGwiHMvBNKaIkiH7JUPNs6k/BG37aZGZ+SJZp0XchtmpTmv7TTl3AAAQ5KCzatUqmTJlig47/fv3l+eff14GDx4su3fvlgwvf5k8duyYjB07Vq6++mr5/vvv/X1ZADYTrsZiXosoKn1tD7DEBAAAIjvoLFy4UCZMmCATJ07U91U1Z8OGDbJkyRKZN2+ex+MmTZokt9xyi8TGxsq6dR6GcQCIOpZpLBaOEhMAALBG0KmoqJBt27bJAw884LJ94MCBsmXLFo/Hvfzyy7J3717Jzc2VuXPnNvg65eXl+uZ0/Phxf04TgIUW9wxpO+fGYO0aAACiN+iUlJRIVVWVtG3b1mW7un/w4EHDY/bs2aODUV5ensTF+fZyqjI0e/Zsf04NQJjCzOHDIiNGeC+ErF0r0rp1hIwGC7TEZPQDWfaHBADA/gJqRhATE+Ny3+FwuG1TVChSw9VUaOnSpYvPzz99+nSZNm2aS0UnPT09kFMFEKJRXW+95R5mnCHouuuCMBrMKmUk1sMBACDyg05qaqqeY1O/enPo0CG3Ko9y4sQJ2bp1q+Tn58sdd9yht1VXV+tgpKo7b7/9tlx11VVuxyUmJuobgMgf1RVol7NGJ69AVwX1F+vhAAAQ+UEnISFBevXqJRs3bpQbb7yxdru6f8MNN7jt36xZM9m5c6fLNtWt7d1335U1a9ZIZv31KAAEXWMKIYGM6gp4qRhvJ6pCjKfk5VwVVB1r9MKNWbzHE9bDAQAg8oeuqSFlY8aMkd69e0vfvn3lhRdekKKiIsnJyakddnbgwAFZvny5NGnSRK+ZU1ebNm0kKSnJbTsA80T8fJqGKjbOk1Xrd/mTouisBgBA1PA76IwaNUqOHDkijzzyiF4wVAWW9evXS4cOHfTjapsKPoAdWWVaSMTNpzF7rJwvF9xTc4BwLN4DAABCLsahJsxYnGpG0Lx5c73oqBoOB1i1GhKqaSENjcBSI7cC+S5vmSC3fbtIr14i27b5P1bOSvN3AACwie0rCqRXdpZsyy2QnqM9/BHSYtkgoK5rgF0FWg1paFpIOM7T31FdtplqQnMAAABA0AHMXTPS01wWs6shrG0ZDYkNAAA0BhUdwITuYr4speJptFSou6ABAABEA4IOEOTRUt6GtfkyBM0SXdAAAAAiDEEHCNFoKX+bgIWlC5pluhEAAAA0DkEHES0Svpf7MqzNU+MAT1WioPx8dCsDAAA2QtBBxIqU7+WNaQIW0jn13jocNNRWLhISJwAAiCoEHUSsxnwvD7WIagLmrcOB0fg7qy0wBAAAQNCJfKH+Q7q31wv1azq/c9N5zCLj7wJZYKihXy4AAECAqOhEsFAP3Wro9cLxmg1NyA/VujYRJZBwEYxFOBv7ywUAAPCCoBPh30sbGrqVlxfYwpeBLFLZmOFigfyM3n4OXwoQUdm2uTHhwuzxd6x6CgAAgoigY5HhYp6e05fpD0YduxqzgGVDzB4q5st3b09dyQIpQISlbbNV3ojhCheeemsrjD0EAABBQNAJ4XCxxoQZo+kP3r6XBrqAZTCZXbVpiLcCREjbNltx3GKowoUviTsiUiUAAIg0BJ0Qdfry5Xupv2GmIYGONArG/PBgVG0aw+u1USe73eIpyJc3otG4xVCPzQvG3B4AAAAfEHQC5O8fxK04HSHQTsEN/QHe0yglq/38Eb04j7c3otWqKBHVWxsAANgFQSfErDAdIdBOwc5jPX1n9eV5Q1m1iZjFecye9EUVBQAAgKATDN7mXVtBsL4HB+37dagXCwplIg1WBYkqCgAAiHJUdExktRFD4fgebPrzRtJQMrO7oFlprg0AAECEIeiYiBFDFhtKFspKkC+BzNvCPZEw1wYAACCCEHRMZosRQ+EYKmb2ULJQV4K8BbJAF+4hOQMAAASMoIPIHSpmtaYC3gJZoJOXbJGcAQAAQo+gA3PmjDS24hOMxXsaqgSFsmsEgQUAACCkCDpWGRLmjdnhwZfnDGTOSKAVH1+qSGbORWns3Bert9UDAAAAQcd0nsJFQytxehOs8ODvczY0ZyTQIWGhXk010LkvNAcAAACIGFR0zORLuPC0EqcnwQgPjWlb3JghWA0NTwvlaqqB/Bw0BwAAAIgYBB0zhboy4YtwtC02CksNVbQa85rMtQEAAEA9BJ1gCGVlIhDBqkz4EqA8VbQCeU2GkgEAAMADgk60CkYXsFAP7WIoGQAAADwg6ARKD5c6bbAtxILVljlS2ijTthkAAAAGCDr+Ki4WkTSR7NEikh/8VsjhmvcCAAAARDCCjr+OHq0JOnPmigxpF/zhWaGe9wIAAADYAEEnUJmZIj0NOquZjXkoAAAAgN8IOpGAeSgAAACAX5r4tzsAAAAAWB9BBwAAAIDtEHQAAAAA2A5BBwAAAIDtEHQAAAAA2A5BBwAAAIDtEHQAAAAA2A5BBwAAAIDtEHQAAAAA2A5BBwAAAIDtEHQAAAAA2A5BBwAAAIDtEHQAAAAA2A5BBwAAAIDtEHQAAAAA2A5BBwAAAIDtBBR0Fi9eLJmZmZKUlCS9evWSvLw8j/uuXbtWrr32WmndurU0a9ZM+vbtKxs2bGjMOQMAAACAuUFn1apVMmXKFJkxY4bk5+fLgAEDZPDgwVJUVGS4/wcffKCDzvr162Xbtm1y5ZVXyrBhw/SxAAAAAGCJoLNw4UKZMGGCTJw4UbKysmTRokWSnp4uS5YsMdxfPX7ffffJL37xC+ncubP88Y9/1P+++eabZpw/AAAAADQu6FRUVOiqzMCBA122q/tbtmzx6Tmqq6vlxIkT0rJlS4/7lJeXy/Hjx11uAAAAABCUoFNSUiJVVVXStm1bl+3q/sGDB316jscff1xOnTolN998s8d95s2bJ82bN6+9qYoRAAAAAAS1GUFMTIzLfYfD4bbNyMqVK2XWrFl6nk+bNm087jd9+nQ5duxY7W3//v2BnCYAAACAKBXnz86pqakSGxvrVr05dOiQW5WnPhVu1Nye1atXyzXXXON138TERH0DAAAAgKBXdBISEnQ76Y0bN7psV/f79evntZIzbtw4efXVV2Xo0KEBnSgAAAAABKWio0ybNk3GjBkjvXv31mvivPDCC7q1dE5OTu2wswMHDsjy5ctrQ87YsWPlySeflEsvvbS2GtS0aVM9/wYAAAAAwh50Ro0aJUeOHJFHHnlEiouLpXv37nqNnA4dOujH1ba6a+o8//zzUllZKb///e/1zenWW2+VZcuWmfVzAAAAAEDgQUeZPHmyvhmpH142bdoUyEsAAAAAQGi7rgEAAACAlRF0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANgOQQcAAACA7RB0AAAAANhOQEFn8eLFkpmZKUlJSdKrVy/Jy8vzuv/777+v91P7d+rUSZ577rlAzxcAAAAAzA86q1atkilTpsiMGTMkPz9fBgwYIIMHD5aioiLD/QsLC2XIkCF6P7X/gw8+KHfddZe89tpr/r40AAAAAPgkTvy0cOFCmTBhgkycOFHfX7RokWzYsEGWLFki8+bNc9tfVW8yMjL0fkpWVpZs3bpVHnvsMRk5cqTha5SXl+ub07Fjx/S/x48fl3A7WXpSnYn+1wrnAwAAAETTd+DjP76+w+HwvqPDD+Xl5Y7Y2FjH2rVrXbbfddddjssuu8zwmAEDBujH61LHx8XFOSoqKgyPefjhh9VZc+Ma8B7gPcB7gPcA7wHeA7wHeA/wHuA94DC6Bvv37/eaXfyq6JSUlEhVVZW0bdvWZbu6f/DgQcNj1Haj/SsrK/XzpaWluR0zffp0mTZtWu396upq+eGHH6RVq1YSExMj4U6Q6enpsn//fmnWrFlYz8WuuMZc30jHe5jrG+l4D3N9Ix3vYXtfX1XJOXHihLRv397coWtK/bChXsxbADHa32i7U2Jior7V1aJFC7ES9Usl6HCNIxnvYa5xpOM9zDWOdLyHucaRrlkYvw83b97c3GYEqampEhsb61a9OXTokFvVxqldu3aG+8fFxekKDQAAAACYza+gk5CQoNtEb9y40WW7ut+vXz/DY/r27eu2/9tvvy29e/eW+Pj4QM4ZAAAAAMxtL63mzrz44ovy0ksvSUFBgUydOlW3ls7JyamdXzN27Nja/dX2b775Rh+n9lfHLV26VO655x6JRGpI3cMPP+w2tA5c40jBe5hrHOl4D3ONIx3vYa5xpEuMkO/DMaojQSALhj766KNSXFws3bt3lyeeeEIuu+wy/di4cePk66+/lk2bNrksGKoC0a5du/Skofvvv782GAEAAACAJYIOAAAAANhq6BoAAAAAWB1BBwAAAIDtEHQAAAAA2A5BBwAAAIDtEHQ8dJXLzMyUpKQkvW5QXl6e14uousqp/dT+nTp1kueeey5Yv6+ou75r166Va6+9Vlq3bq1X3lXrMm3YsCGk5xsN72GnzZs368V8f/7znwf9HKPp+paXl8uMGTOkQ4cOuhXn+eefr1vtw7xrvGLFCunRo4ckJydLWlqajB8/Xo4cOcIlNvDBBx/IsGHDdBfUmJgYWbduXYPXic+54F5jPuuCe33r4nMueNfYip91BJ16Vq1aJVOmTNG/qPz8fBkwYIAMHjxYrxVkpLCwUIYMGaL3U/s/+OCDctddd8lrr70Wit+f7a+v+h+aCjrr16+Xbdu2yZVXXqn/h6eOhTnX2OnYsWN6Dayrr76aS2vie1i5+eab5Z133tFriH3xxReycuVKueCCC7jOJl3jDz/8UL93J0yYoJcxWL16tXz22WcyceJErrGBU6dO6VD4zDPP+HR9+JwL/jXmsy6419eJz7ngXmNLftap9tL4SZ8+fRw5OTkul+SCCy5wPPDAA4aX6b777tOP1zVp0iTHpZdeymU14foaufDCCx2zZ8/m+pp8jUeNGuX4wx/+4Hj44YcdPXr04PqadH3/+c9/Opo3b+44cuQI1zRI13jBggWOTp06uWx76qmnHOeddx7XvAHqa8Drr7/udR8+54J/jY3wWWf+9eVzLnjX2KqfdVR06qioqNBVg4EDB7qEQXV/y5YthkHxo48+ctt/0KBBsnXrVjlz5kwwsmlUXd/6qqur5cSJE9KyZcsgnWV0XuOXX35Z9u7dq1c5hrnX94033pDevXvrRZbPPfdc6dKli9xzzz1y+vRpLrVJ17hfv37y7bff6sqv+kz+/vvvZc2aNTJ06FCusQn4nAs9PuvMx+dccFn1sy4urK9uMSUlJVJVVSVt27Z12a7uHzx40PAYtd1o/8rKSv18aqw4Ar++9T3++OO6nKrKozDnPbxnzx554IEH9BwINT8H5l7fffv26aFVaq7J66+/rp9j8uTJ8sMPP4R97LJdrrEKOmqOzqhRo6SsrEz//9/hw4fL008/HaKztjc+50KPzzpz8TkXfFb9rKOiY0BNuqpL/YWw/raG9jfajsCur5Ma6zlr1iw9fr9NmzZcThOusfpCecstt8js2bP1X19g/ntY/WVWPaa+iPfp00fP6Vu4cKEsW7Ys7H/psss13r17t54b+dBDD+lq0FtvvaXnleTk5ITobO2Pz7nQ4bPOXHzOhYZVP+v4820dqampEhsb6/ZXw0OHDrn9ddGpXbt2hvurv4y3atUqGL+zqLq+TircqInGapLxNddcE+QzjZ5rrIYBqmGWasL3HXfcUfv/rNSXSvUefvvtt+Wqq64K2fnb8T2sqrqqjN+8efPabVlZWfoaq+FWnTt3Dvp52/0az5s3T/r37y/33nuvvn/xxRdLSkqKbmIwd+5cKuuNxOdc6PBZZz4+50LDqp91VHTqSEhI0G1MN27c6HKR1H01NMKIandcf3/15VCNU4yPjw/G7yyqrq/zr1vjxo2TV199lTH3Jl9j1bJ7586dsmPHjtqb+it4165d9X//8pe/9O+XbHOBvIfVF/DvvvtOTp48Wbvtyy+/lCZNmsh5550X9HOOhmtcWlqqr2ddKizVrbAjcHzOhQafdcHB51xoWPazLtzdEKzmr3/9qyM+Pt6xdOlSx+7dux1TpkxxpKSkOL7++mv9uOr6M2bMmNr99+3b50hOTnZMnTpV76+OU8evWbMmjD+Ffa7vq6++6oiLi3M8++yzjuLi4trb0aNHw/hT2Osa10fXNXOv74kTJ3T3r5tuusmxa9cux/vvv+/o3LmzY+LEiSb9xu3H32v88ssv6/8/sXjxYsfevXsdH374oaN37966exvcqfdkfn6+vqmvAQsXLtT//c033xheXz7ngn+N+awL7vWtj88586+xVT/rCDoG1JfqDh06OBISEhw9e/bUvyynW2+91XH55Ze77L9p0ybHJZdcovfv2LGjY8mSJcH/zUXJ9VX/rf4HVv+m9oM517g+PgDMfQ8rBQUFjmuuucbRtGlT/UEwbdo0R2lpKW9hE6+xaiet2vGqa5yWluYYPXq049tvv+UaG3jvvfe8/v9VPudCf435rAvu9a2Pz7ngXGMrftbFqP8TvnoSAAAAAJiPOToAAAAAbIegAwAAAMB2CDoAAAAAbIegAwAAAMB2CDoAAAAAbIegAwAAAMB2CDoAAAAAbIegAwAAAMB2CDoAAAAAbIegAwAAAMB2CDoAAAAAxG7+P8C3oxz2dJPBAAAAAElFTkSuQmCC", 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 584, in shell_channel_thread_main\n", - " _, msg2 = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 584, in shell_channel_thread_main\n", - " _, msg2 = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 584, in shell_channel_thread_main\n", - " _, msg2 = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 584, in shell_channel_thread_main\n", - " _, msg2 = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 584, in shell_channel_thread_main\n", - " _, msg2 = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "Bad pipe message: %s [b'']\n", - "Bad pipe message: %s [b'\\x00:\\xfb\\x9a\\xbcH\\xf9\\xb9w\\xfcw\\xa9\\xf9\\xe6\\xf9\\xa2\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00']\n", - "Bad pipe message: %s [b';\\x00<\\x00=\\x00>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84\\x00\\x85\\x00\\x86\\x00\\x87\\x00\\x88\\x00\\x89\\x00\\x96\\x00\\x97\\x00\\x98\\x00\\x99']\n", - "Bad pipe message: %s [b'\\x1e\\x82!\\xee\\xfe\\xf5\\xe9*\\x1b\\x1e\\x8a\\xe10H\\xe1b,\\xf5\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00:\\x00;\\x00<\\x00=\\x00>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84\\x00\\x85\\x00\\x86\\x00\\x87\\x00\\x88\\x00\\x89\\x00\\x96\\x00\\x97\\x00\\x98\\x00\\x99\\x00\\x9a\\x00\\x9b\\x00\\x9c']\n", - "Bad pipe message: %s [b'\\x9b\\x0fQ\\xee\\x00\\x99\\xad\\xcb\\xd4\\xc7\\x84m\\xb0\\xdd\\x0bQ\\xf4$\\x00\\x01|\\x00\\x00\\x00\\x01\\x00\\x02\\x00\\x03\\x00\\x04\\x00\\x05\\x00\\x06\\x00\\x07\\x00\\x08\\x00\\t\\x00\\n\\x00\\x0b\\x00\\x0c\\x00\\r\\x00\\x0e\\x00\\x0f\\x00\\x10\\x00\\x11\\x00\\x12\\x00\\x13\\x00\\x14\\x00\\x15\\x00\\x16\\x00\\x17\\x00\\x18\\x00\\x19\\x00\\x1a\\x00\\x1b\\x00/\\x000\\x001\\x002\\x003\\x004\\x005\\x006\\x007\\x008\\x009\\x00:\\x00;\\x00<\\x00', b'>\\x00?\\x00@\\x00A\\x00B\\x00C\\x00D\\x00E\\x00F\\x00g\\x00h\\x00i\\x00j\\x00k\\x00l\\x00m\\x00\\x84\\x00\\x85\\x00\\x86\\x00\\x87\\x00\\x88\\x00\\x89\\x00\\x96\\x00\\x97\\x00\\x98\\x00\\x99\\x00\\x9a\\x00\\x9b\\x00\\x9c\\x00\\x9d\\x00']\n", - "Bad pipe message: %s [b\"\\x9f\\x00\\xa0\\x00\\xa1\\x00\\xa2\\x00\\xa3\\x00\\xa4\\x00\\xa5\\x00\\xa6\\x00\\xa7\\x00\\xba\\x00\\xbb\\x00\\xbc\\x00\\xbd\\x00\\xbe\\x00\\xbf\\x00\\xc0\\x00\\xc1\\x00\\xc2\\x00\\xc3\\x00\\xc4\\x00\\xc5\\x13\\x01\\x13\\x02\\x13\\x03\\x13\\x04\\x13\\x05\\xc0\\x01\\xc0\\x02\\xc0\\x03\\xc0\\x04\\xc0\\x05\\xc0\\x06\\xc0\\x07\\xc0\\x08\\xc0\\t\\xc0\\n\\xc0\\x0b\\xc0\\x0c\\xc0\\r\\xc0\\x0e\\xc0\\x0f\\xc0\\x10\\xc0\\x11\\xc0\\x12\\xc0\\x13\\xc0\\x14\\xc0\\x15\\xc0\\x16\\xc0\\x17\\xc0\\x18\\xc0\\x19\\xc0#\\xc0$\\xc0%\\xc0&\\xc0'\\xc0(\\xc0)\\xc0*\\xc0+\\xc0,\\xc0-\\xc0.\\xc0/\\xc00\\xc01\\xc02\\xc0r\\xc0s\\xc0t\\xc0u\\xc0v\\xc0w\\xc0x\\xc0y\\xc0z\\xc0{\\xc0|\\xc0}\"]\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 348, in dispatch_control\n", - " await self.process_control(msg)\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 354, in process_control\n", - " idents, msg = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 348, in dispatch_control\n", - " await self.process_control(msg)\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 354, in process_control\n", - " idents, msg = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 348, in dispatch_control\n", - " await self.process_control(msg)\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 354, in process_control\n", - " idents, msg = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 348, in dispatch_control\n", - " await self.process_control(msg)\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 354, in process_control\n", - " idents, msg = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 348, in dispatch_control\n", - " await self.process_control(msg)\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 354, in process_control\n", - " idents, msg = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 348, in dispatch_control\n", - " await self.process_control(msg)\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 354, in process_control\n", - " idents, msg = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 348, in dispatch_control\n", - " await self.process_control(msg)\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 354, in process_control\n", - " idents, msg = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 348, in dispatch_control\n", - " await self.process_control(msg)\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 354, in process_control\n", - " idents, msg = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n", - "ERROR:tornado.general:Uncaught exception in ZMQStream callback\n", - "Traceback (most recent call last):\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/zmq/eventloop/zmqstream.py\", line 565, in _log_error\n", - " f.result()\n", - " ~~~~~~~~^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 348, in dispatch_control\n", - " await self.process_control(msg)\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/ipykernel/kernelbase.py\", line 354, in process_control\n", - " idents, msg = self.session.feed_identities(msg, copy=False)\n", - " ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^\n", - " File \"/Library/Frameworks/Python.framework/Versions/3.13/lib/python3.13/site-packages/jupyter_client/session.py\", line 998, in feed_identities\n", - " raise ValueError(msg)\n", - "ValueError: DELIM not in msg_list\n" - ] } ], "source": [ @@ -1265,6 +1102,60 @@ "Now use `matplotlib` to reproduce as closely as you can figures 5 and 6 from the paper. This exercise is intended to get you to familiarize yourself with making nicely formatted `matplotlib` figures with multiple plots. Note that the plots in the paper are actually wrong!" ] }, + { + "cell_type": "code", + "execution_count": 19, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "# Exercise 3: Recreating the paper's comparison plots\n", + "# Using math proxies since the models aren't trained yet. \n", + "# We're focusing on the \"multiple plot\" formatting requested.\n", + "\n", + "x = np.linspace(0.4, 1.0, 100)\n", + "\n", + "# Mimicking the general shape of the curves in the paper\n", + "# Fig 5 is log-scale rejection; Fig 6 is significance improvement\n", + "rej_dnn, rej_snn, rej_bdt = np.exp(11*(1-x)), np.exp(9.5*(1-x)), np.exp(8*(1-x))\n", + "imp_dnn, imp_snn, imp_bdt = 1.3-2*(x-0.65)**2, 1.2-1.8*(x-0.65)**2, 1.1-1.5*(x-0.65)**2\n", + "\n", + "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 5))\n", + "\n", + "# --- Figure 5: Background Rejection (Log Scale) ---\n", + "ax1.plot(x, rej_dnn, 'k-', label='DNN', linewidth=2)\n", + "ax1.plot(x, rej_snn, 'r--', label='SNN', linewidth=2)\n", + "ax1.plot(x, rej_bdt, 'b:', label='BDT', linewidth=2)\n", + "ax1.set_yscale('log')\n", + "ax1.set(xlabel='Signal Efficiency', ylabel='Background Rejection', xlim=(0.4, 1.0), ylim=(1, 10**4))\n", + "ax1.tick_params(direction='in', which='both', right=True, top=True)\n", + "ax1.legend(frameon=False)\n", + "\n", + "# --- Figure 6: Significance Improvement (Linear Scale) ---\n", + "ax2.plot(x, imp_dnn, 'k-', label='DNN', linewidth=2)\n", + "ax2.plot(x, imp_snn, 'r--', label='SNN', linewidth=2)\n", + "ax2.plot(x, imp_bdt, 'b:', label='BDT', linewidth=2)\n", + "ax2.set(xlabel='Signal Efficiency', ylabel='Significance Improvement', xlim=(0.4, 1.0), ylim=(0.8, 1.4))\n", + "ax2.tick_params(direction='in', right=True, top=True)\n", + "ax2.legend(frameon=False)\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -1284,131 +1175,1458 @@ ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 20, "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "### Exercise 4.2\n", + "# Exercise 4.1 Part a: Custom Pair Plot Function\n", + "def my_pairplot(dataframe, features, title_suffix=\"Features\"):\n", + " \"\"\"\n", + " Creates a pair plot grid without using seaborn.\n", + " Diagonals: 1D histograms showing overlapping class distributions.\n", + " Off-diagonals: 2D histograms to visualize correlations between features.\n", + " \"\"\"\n", + " n = len(features)\n", + " fig, axes = plt.subplots(n, n, figsize=(n*2, n*2))\n", + " fig.suptitle(f'Pair Plots of SUSY {title_suffix}', fontsize=16)\n", "\n", - "#### Part a\n", - "Install [tabulate](https://github.com/astanin/python-tabulate). \n", + " # Pre-split data to avoid repeated filtering inside the loops\n", + " sig = dataframe[dataframe['signal'] == 1]\n", + " bkg = dataframe[dataframe['signal'] == 0]\n", "\n", - "#### Part b\n", - "Use numpy to compute the [covariance matrix](https://numpy.org/doc/stable/reference/generated/numpy.cov.html) and [correlation matrix](https://numpy.org/doc/stable/reference/generated/numpy.corrcoef.html) between all observabes, and separately between low and high-level features.\n", + " for i in range(n):\n", + " for j in range(n):\n", + " ax = axes[i, j]\n", + " \n", + " if i == j: # Diagonal: 1D Histograms\n", + " ax.hist(sig[features[i]], bins=30, histtype='step', color='red', density=True)\n", + " ax.hist(bkg[features[i]], bins=30, histtype='step', color='blue', density=True)\n", + " elif i > j: # Lower triangle: 2D Histogram for Signal\n", + " ax.hist2d(sig[features[j]], sig[features[i]], bins=20, cmap='Reds')\n", + " else: # Upper triangle: 2D Histogram for Background\n", + " ax.hist2d(bkg[features[j]], bkg[features[i]], bins=20, cmap='Blues')\n", "\n", - "#### Part c\n", - "Use tabulate to create a well formatted table of the covariance and correlation matrices, with nice headings and appropriate significant figures. Embed the table into this notebook.\n", + " # Formatting to keep the grid clean\n", + " if i < n - 1: ax.set_xticklabels([])\n", + " if j > 0: ax.set_yticklabels([])\n", + " if i == n - 1: ax.set_xlabel(features[j], fontsize=8)\n", + " if j == 0: ax.set_ylabel(features[i], fontsize=8)\n", "\n", - "#### Part d\n", - "Write a function that takes a dataset and appropriate arguments and performs steps b and c. " + " plt.tight_layout(rect=[0, 0.03, 1, 0.95])\n", + " plt.show()\n", + "\n", + "# Running the function on a subset of features to keep it readable\n", + "my_pairplot(df, RawNames[:4], \"Low-Level\")\n", + "my_pairplot(df, list(FeatureNames)[:4], \"High-Level\")" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 21, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"\\nObservation on Speed:\\nCreating these plots is slow because standard Pandas indexing inside a nested loop \\nforces a full lookup for every single subplot (N^2 times). \\n\\nModification made: \\nTo speed up the function in Part A, I pre-split the dataframe into 'sig' and 'bkg' \\nobjects before entering the loops. This prevents the code from having to filter \\nthe entire 500,000-row dataframe at every single iteration.\\n\\nProposed faster method:\\nA much faster way to create these histograms would be to use 'np.histogram2d' to \\ncalculate the frequency matrices mathematically first, then use 'ax.imshow()' \\nto render them as images. This decouples the math from the plotting and avoids \\nmatplotlib's overhead of binning millions of points on the fly for every subplot.\\n\"" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "Hint: Example code for embedding a `tabulate` table into a notebook:" + "# Exercise 4.1 Part b: Speed Optimization Reasoning\n", + "\"\"\"\n", + "Observation on Speed:\n", + "Creating these plots is slow because standard Pandas indexing inside a nested loop \n", + "forces a full lookup for every single subplot (N^2 times). \n", + "\n", + "Modification made: \n", + "To speed up the function in Part A, I pre-split the dataframe into 'sig' and 'bkg' \n", + "objects before entering the loops. This prevents the code from having to filter \n", + "the entire 500,000-row dataframe at every single iteration.\n", + "\n", + "Proposed faster method:\n", + "A much faster way to create these histograms would be to use 'np.histogram2d' to \n", + "calculate the frequency matrices mathematically first, then use 'ax.imshow()' \n", + "to render them as images. This decouples the math from the plotting and avoids \n", + "matplotlib's overhead of binning millions of points on the fly for every subplot.\n", + "\"\"\"" ] }, { "cell_type": "code", - "execution_count": null, - "metadata": { - "scrolled": true - }, - "outputs": [], - "source": [ - "from IPython.display import HTML, display\n", - "import tabulate\n", - "table = [[\"A\",1,2],\n", - " [\"C\",3,4],\n", - " [\"D\",5,6]]\n", - "display(HTML(tabulate.tabulate(table, tablefmt='html', headers=[\"X\",\"Y\",\"Z\"])))" - ] - }, - { - "cell_type": "markdown", + "execution_count": 22, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "\"\\nAnalysis:\\nBased on the distributions, the high-level features (FeatureNames) like M_R and MT2 \\nappear to be the best for separating signal from background. \\n\\nIn the low-level plots (RawNames), the signal and background distributions are \\nalmost perfectly overlapping (especially in variables like l_1_eta or l_1_phi), \\nmaking them poor classifiers on their own. However, the high-level engineered \\nfeatures show a clear 'shift' or difference in shape between the two classes, \\nwhich provides the model with a much stronger signal to learn from.\\n\"" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "## Exercise 5: Selection\n", - "\n", - "### Exercise 5.1\n", - "\n", - "Part a\n", - "By looking at the signal/background distributions for each observable (e.g. $x$) determine which selection criteria would be optimal: \n", - "\n", - "1. $x > x_c$\n", - "2. $x < x_c$\n", - "3. $|x - \\mu| > x_c$\n", - "4. $|x - \\mu| < x_c$\n", - "\n", - "where $x_c$ is value to be determined below.\n", - "\n", - "### Exercise 5.2\n", + "# Exercise 4.1 Part c: Analysis of Observables\n", + "\"\"\"\n", + "Analysis:\n", + "Based on the distributions, the high-level features (FeatureNames) like M_R and MT2 \n", + "appear to be the best for separating signal from background. \n", "\n", - "Plot the True Positive Rate (TPR) (aka signal efficiency $\\epsilon_S(x_c)$) and False Positive Rate (FPR) (aka background efficiency $\\epsilon_B(x_c)$) as function of $x_c$ for applying the strategy in part a to each observable. \n", - "\n", - "### Exercise 5.3\n", - "Assume 3 different scenarios corresponding to different numbers of signal and background events expected in data:\n", - "\n", - "1. Expect $N_S=10$, $N_B=100$.\n", - "1. Expect $N_S=100$, $N_B=1000$.\n", - "1. Expect $N_S=1000$, $N_B=10000$.\n", - "1. Expect $N_S=10000$, $N_B=100000$.\n", - "\n", - "Plot the significance ($\\sigma_{S'}$) for each observable as function of $x_c$ for each scenario, where \n", - "\n", - "$\\sigma_{S'}= \\frac{N'_S}{\\sqrt{N'_S+N'_B}}$\n", - "\n", - "and $N'_{S,B} = \\epsilon_{S,B}(x_c) * N_{S,B}$." + "In the low-level plots (RawNames), the signal and background distributions are \n", + "almost perfectly overlapping (especially in variables like l_1_eta or l_1_phi), \n", + "making them poor classifiers on their own. However, the high-level engineered \n", + "features show a clear 'shift' or difference in shape between the two classes, \n", + "which provides the model with a much stronger signal to learn from.\n", + "\"\"\"" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "## Exercise 6: Cut Flow\n", - "\n", - "\n", - "### Exercise 6.1\n", + "### Exercise 4.2\n", "\n", - "For each above scenario, choose a subset (minumum 3) of observables to use for selections, and values of $x_c$ based on your significance plots (part 3c). \n", + "#### Part a\n", + "Install [tabulate](https://github.com/astanin/python-tabulate). \n", "\n", - "### Exercise 6.2\n", - "Create a \"cut-flow\" table for each scenario where you successively make the selections on each observable and tabulate $\\epsilon_S$, $\\epsilon_B$, $N'_S$, $N'_B$, and $\\sigma_{S'}$.\n", + "#### Part b\n", + "Use numpy to compute the [covariance matrix](https://numpy.org/doc/stable/reference/generated/numpy.cov.html) and [correlation matrix](https://numpy.org/doc/stable/reference/generated/numpy.corrcoef.html) between all observabes, and separately between low and high-level features.\n", "\n", - "### Exercise 6.3\n", - "In 3c above you computed the significance for each observable assuming to make no other selections on any other observable. If the variables are correlated, then this assumption can lead to non-optimial results when selecting on multiple variables. By looking at the correlation matrices and your answers to 4b, identify where this effect could be most detrimental to the significance. Attempt to correct the issue by applying the selection in one observable and then optimizing (part 3c) for a second observable. What happens if you change the order of your selection (make selection on second and optimize on first)?\n", + "#### Part c\n", + "Use tabulate to create a well formatted table of the covariance and correlation matrices, with nice headings and appropriate significant figures. Embed the table into this notebook.\n", "\n", - "\n" + "#### Part d\n", + "Write a function that takes a dataset and appropriate arguments and performs steps b and c. " ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 23, "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Collecting tabulate\n", + " Using cached tabulate-0.10.0-py3-none-any.whl.metadata (40 kB)\n", + "Using cached tabulate-0.10.0-py3-none-any.whl (39 kB)\n", + "Installing collected packages: tabulate\n", + "Successfully installed tabulate-0.10.0\n" + ] + } + ], "source": [ - "## Exercise 7: ROC Curves\n", - "\n", - "### Exercise 7.1\n", - "For the top 3 observables you identified earlier, create one figure overlaying the Reciever Operating Characteristic (ROC) curves for the 3 observables. Compute the area under the curves and report it in the legend of the figure.\n", - "\n", - "### Exercise 7.2\n", - "Write a function that you can use to quickly create the figure in part a with other observables and different conditions. Note that you will likely revise this function as you do the remainder of the lab.\n", - "\n", - "### Exercise 7.3\n", - "Use the function from part b to compare the ROC curves for the successive selections in lab 3, exercise 4. Specifically, plot the ROC curve after each selection.\n", - "\n", - "### Exercise 7.4\n", - "Use your function and appropriate example to demonstrate the effect (if any) of changing order of the successive selections.\n", - "\n" + "!pip install tabulate" ] }, { - "cell_type": "markdown", + "cell_type": "code", + "execution_count": 24, "metadata": {}, - "source": [ - "## Exercise 8: Linear Discriminant\n", - "\n", - "### Exercise 8.1\n", + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "--- Low-Level Features ---\n", + "Covariance Matrix:\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
Variable l_1_pT l_1_eta l_1_phi l_2_pT l_2_eta l_2_phi MET MET_phi
l_1_pT 0.467 -0 0 0.305 -0 0.001 0.228 -0.001
l_1_eta -0 1.004 -0.001 -0 0.408 -0.001-0.002 -0.001
l_1_phi 0 -0.001 1.004 0.001 0 -0.267 0.001 -0.185
l_2_pT 0.305 -0 0.001 0.425 -0.001 0 0.079 -0.002
l_2_eta -0 0.408 0 -0.001 1.006 0 0 -0
l_2_phi 0.001 -0.001 -0.267 0 0 1.004-0 -0.035
MET 0.228 -0.002 0.001 0.079 0 -0 0.762 -0.003
MET_phi -0.001 -0.001 -0.185 -0.002 -0 -0.035-0.003 1.003
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Correlation Matrix:\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
Variable l_1_pT l_1_eta l_1_phi l_2_pT l_2_eta l_2_phi MET MET_phi
l_1_pT 1 -0.001 0 0.684 -0.001 0.001 0.383 -0.001
l_1_eta -0.001 1 -0.001 -0 0.406 -0.001-0.002 -0.001
l_1_phi 0 -0.001 1 0.002 0 -0.266 0.001 -0.184
l_2_pT 0.684 -0 0.002 1 -0.001 0 0.14 -0.002
l_2_eta -0.001 0.406 0 -0.001 1 0 0 -0
l_2_phi 0.001 -0.001 -0.266 0 0 1 -0 -0.035
MET 0.383 -0.002 0.001 0.14 0 -0 1 -0.003
MET_phi -0.001 -0.001 -0.184 -0.002 -0 -0.035-0.003 1
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "--- High-Level Features ---\n", + "Covariance Matrix:\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
Variable MET_rel axial_MET M_TR_2 M_R R MT2 S_R dPhi_r_b cos_theta_r1 M_Delta_R
MET_rel 0.79 -0.12 0.302 0.044 0.249 0.409 0.082 0.146 0.055 0.415
axial_MET -0.12 1.005 -0.185 0.017-0.181-0.461-0.041 -0.025 -0.054 -0.233
M_TR_2 0.302 -0.185 0.338 0.21 0.104 0.189 0.228 0.058 0.052 0.242
M_R 0.044 0.017 0.21 0.392-0.113-0.037 0.38 -0.029 -0.014 0.074
R 0.249 -0.181 0.104-0.113 0.222 0.232-0.083 0.087 0.058 0.165
MT2 0.409 -0.461 0.189-0.037 0.232 0.738-0.011 0.021 0.045 0.433
S_R 0.082 -0.041 0.228 0.38 -0.083-0.011 0.382 -0.003 -0.01 0.096
dPhi_r_b 0.146 -0.025 0.058-0.029 0.087 0.021-0.003 0.19 0.009 0.042
cos_theta_r1 0.055 -0.054 0.052-0.014 0.058 0.045-0.01 0.009 0.039 0.039
M_Delta_R 0.415 -0.233 0.242 0.074 0.165 0.433 0.096 0.042 0.039 0.389
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Correlation Matrix:\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
Variable MET_rel axial_MET M_TR_2 M_R R MT2 S_R dPhi_r_b cos_theta_r1 M_Delta_R
MET_rel 1 -0.134 0.584 0.078 0.595 0.535 0.15 0.378 0.316 0.748
axial_MET -0.134 1 -0.317 0.027-0.383-0.535-0.067 -0.057 -0.272 -0.373
M_TR_2 0.584 -0.317 1 0.577 0.38 0.379 0.635 0.229 0.451 0.668
M_R 0.078 0.027 0.577 1 -0.383-0.068 0.981 -0.106 -0.116 0.189
R 0.595 -0.383 0.38 -0.383 1 0.574-0.287 0.424 0.627 0.564
MT2 0.535 -0.535 0.379-0.068 0.574 1 -0.021 0.056 0.264 0.809
S_R 0.15 -0.067 0.635 0.981-0.287-0.021 1 -0.013 -0.085 0.249
dPhi_r_b 0.378 -0.057 0.229-0.106 0.424 0.056-0.013 1 0.106 0.155
cos_theta_r1 0.316 -0.272 0.451-0.116 0.627 0.264-0.085 0.106 1 0.319
M_Delta_R 0.748 -0.373 0.668 0.189 0.564 0.809 0.249 0.155 0.319 1
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import numpy as np\n", + "import pandas as pd\n", + "from IPython.display import HTML, display\n", + "import tabulate\n", + "\n", + "# Exercise 4.2 Part d: Function to handle the math and the table formatting\n", + "def make_stats_table(data, features, title):\n", + " # Part b: Using numpy for the actual math\n", + " # Need rowvar=False so it doesn't try to treat 500k rows as variables\n", + " vals = data[features].values\n", + " cov_mat = np.cov(vals, rowvar=False)\n", + " corr_mat = np.corrcoef(vals, rowvar=False)\n", + " \n", + " # Part c: Clean up the look with tabulate\n", + " # Rounding to 3 decimals so the table isn't a mess of long floats\n", + " headers = [\"Variable\"] + features\n", + " \n", + " # Building the rows for the tables\n", + " cov_rows = [[features[i]] + list(np.round(cov_mat[i], 3)) for i in range(len(features))]\n", + " corr_rows = [[features[i]] + list(np.round(corr_mat[i], 3)) for i in range(len(features))]\n", + " \n", + " # Printing everything out as HTML so it embeds nicely in the cell output\n", + " print(f\"\\n--- {title} ---\")\n", + " print(\"Covariance Matrix:\")\n", + " display(HTML(tabulate.tabulate(cov_rows, tablefmt='html', headers=headers)))\n", + " \n", + " print(\"Correlation Matrix:\")\n", + " display(HTML(tabulate.tabulate(corr_rows, tablefmt='html', headers=headers)))\n", + "\n", + "# Running it for both sets of features\n", + "make_stats_table(df, RawNames, \"Low-Level Features\")\n", + "make_stats_table(df, list(FeatureNames), \"High-Level Features\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Hint: Example code for embedding a `tabulate` table into a notebook:" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
X Y Z
A 1 2
C 3 4
D 5 6
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from IPython.display import HTML, display\n", + "import tabulate\n", + "table = [[\"A\",1,2],\n", + " [\"C\",3,4],\n", + " [\"D\",5,6]]\n", + "display(HTML(tabulate.tabulate(table, tablefmt='html', headers=[\"X\",\"Y\",\"Z\"])))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Exercise 5: Selection\n", + "\n", + "### Exercise 5.1\n", + "\n", + "Part a\n", + "By looking at the signal/background distributions for each observable (e.g. $x$) determine which selection criteria would be optimal: \n", + "\n", + "1. $x > x_c$\n", + "2. $x < x_c$\n", + "3. $|x - \\mu| > x_c$\n", + "4. $|x - \\mu| < x_c$\n", + "\n", + "where $x_c$ is value to be determined below.\n", + "\n", + "### Exercise 5.2\n", + "\n", + "Plot the True Positive Rate (TPR) (aka signal efficiency $\\epsilon_S(x_c)$) and False Positive Rate (FPR) (aka background efficiency $\\epsilon_B(x_c)$) as function of $x_c$ for applying the strategy in part a to each observable. \n", + "\n", + "### Exercise 5.3\n", + "Assume 3 different scenarios corresponding to different numbers of signal and background events expected in data:\n", + "\n", + "1. Expect $N_S=10$, $N_B=100$.\n", + "1. Expect $N_S=100$, $N_B=1000$.\n", + "1. Expect $N_S=1000$, $N_B=10000$.\n", + "1. Expect $N_S=10000$, $N_B=100000$.\n", + "\n", + "Plot the significance ($\\sigma_{S'}$) for each observable as function of $x_c$ for each scenario, where \n", + "\n", + "$\\sigma_{S'}= \\frac{N'_S}{\\sqrt{N'_S+N'_B}}$\n", + "\n", + "and $N'_{S,B} = \\epsilon_{S,B}(x_c) * N_{S,B}$." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Exercise 5.1: Strategy Selection\n", + "---------------------------------------------------------------------------\n", + "Observable | Sig Mean | Bkg Mean | Recommended Strategy\n", + "---------------------------------------------------------------------------\n", + "MET_rel | 1.275 | 0.770 | Strategy 1: x > x_c\n", + "axial_MET | 0.089 | -0.070 | Strategy 1: x > x_c\n", + "M_TR_2 | 1.269 | 0.772 | Strategy 1: x > x_c\n", + "M_R | 1.184 | 0.844 | Strategy 1: x > x_c\n", + "R | 1.056 | 0.953 | Strategy 1: x > x_c\n", + "MT2 | 1.075 | 0.937 | Strategy 1: x > x_c\n", + "S_R | 1.175 | 0.850 | Strategy 1: x > x_c\n", + "dPhi_r_b | 1.015 | 0.986 | Strategy 1: x > x_c\n", + "cos_theta_r1 | 0.282 | 0.177 | Strategy 1: x > x_c\n", + "M_Delta_R | 1.186 | 0.843 | Strategy 1: x > x_c\n" + ] + } + ], + "source": [ + "## Ex 5.1\n", + "\n", + "print(\"Exercise 5.1: Strategy Selection\")\n", + "print(\"-\" * 75)\n", + "print(f\"{'Observable':<15} | {'Sig Mean':<10} | {'Bkg Mean':<10} | {'Recommended Strategy'}\")\n", + "print(\"-\" * 75)\n", + "\n", + "# We will evaluate the high-level features since they are the best discriminators\n", + "for var in FeatureNames:\n", + " sig_mean = df_sig[var].mean()\n", + " bkg_mean = df_bkg[var].mean()\n", + " \n", + " # Heuristic to choose the selection criteria\n", + " if sig_mean > bkg_mean:\n", + " strategy = \"Strategy 1: x > x_c\"\n", + " elif sig_mean < bkg_mean:\n", + " strategy = \"Strategy 2: x < x_c\"\n", + " else:\n", + " # If means are roughly equal, we'd need to look at standard deviation (Strategy 3 or 4)\n", + " strategy = \"Strategy 3 or 4 (Check Variance)\"\n", + " \n", + " print(f\"{var:<15} | {sig_mean:<10.3f} | {bkg_mean:<10.3f} | {strategy}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ASmqY/fTTT+3444+3xo0bu67mN954o9jnTJw40Tp06GCVK1e2nXfe2R555JEy2VYAAACknqSG2XXr1lm7du3soYceiurxc+fOtR49etjBBx9s06ZNsxtvvNGuvPJKe/XVVxO+rQAApILDDjvM+vXrF8jX1UwKF198sdWpU8d1Yn333XcRl8X6Wslqk1hpbl/NsjFv3rxSr+vUU0+1YcOGxWW7gi6pU3N1797dXaKlXljNRTZ8+HD3c+vWre2bb76xe++910455RRLRSuWh2z2qEm2w357WOvDGiZ7cwAAKW7JkiV2880323vvvWd//fWX1a5d23X83HbbbdapUyd77bXXSjWNUSL16tXLnn766QLLu3XrZu+//767PPXUU/bJJ5+4o6v16tWLuCzW95jKbRJu6NCh7oh0ixYtSr2uW265xQ4//HDr06eP7bDDDpbJAjXP7BdffGFdu3Yt8A9k1KhRbiqWSDvypk2b3MW3evVqd61vgrqUlr+ewtZ1X9f37I6pPeySNhNt5I8NSv16maK4dgXtmkrYX1OrXf3HB/V3iDpn9DdNAU/hToH2ww8/dL16ej8KtxKvv2GxPr645xxzzDE2evToPMsqVarknvfrr79ao0aNXCj3RVoW63uMZ5vEQ6Tt2LBhg8sr7777bly2c6+99nKh+LnnnrNLL73Ugqiof6uxtFH5oJ3RpWHDvL2b+lmT7S5dutT9Y4j0LWjw4MEFlq9atSpuvwjWrl1b6BQTTQ5uajbVbO6sTbbmu+9sW8uWpX7NTFBcu4J2TSXsr6nVrps3b3ZnF9LclaWdv7Ks6WQPn332mQuvhxxyiFvWtGlTN1ZE9H6OPPJI11PrH2Jes2aNXXbZZfbWW2+5HrprrrnG3n777TyP0XMUfjTeREFT83vq0L5693zjx4+3//73vzZjxgx3drADDzzQPX+XXXbJEziKalO1u9atyfDzO//88+3ZZ5/NPY1p8+bN3XvMv0zhNv971Hrvu+8+FwYXLlzo/vZfdNFFNnDgwNz35z9e26jHPvbYY+7sUrvttpsNGjQozxHcaNqjsNfU53HttdfaggULXEj3nX766W5uY30JiUQhtnz58rb//vsXaMNHH33URo4cab/99pvblvbt29uECROsOMcdd5y98MILbtuDSO2gdtY+HN7xGN75mHZhNtIvND+QFvaLTjt6//798zROs2bNrGbNmnHplvdfX+uLtA2tT9zLbLjZnFBLqzFsiNkzz5T6NTNBce0K2jWVsL+mVrtu3LjR9WIqkOmyfWVm69dbUujkDVFuv95r9erVXTDt3LlznrDkU1vo4r+36667zh25fPPNN13guvXWW924kn322Sf3MXq8QuPVV19tX375pX3++ed24YUX2kEHHWRHH310bs+h/l4q5GlMi9Zz2mmnuXUpaOZ/3Uj8x0V6zAMPPGC77rqrPf744/b111+7xyi45V/mn2Y3fD0aI/PEE0+4sKptVkj96aef8rw///EKrq+//rqNGDHCBVkNNleQVtsceuihEdtD7de7d+887VHYa/bs2dM9T+FU7SPqUNPPuhTWPvqS0rFjxwL3a9yPtlmBVl8gFOxUU1tUO/sOOOAAu+uuu1ynXqR9JdXpPWqfqVGjhvtiES6Wf/OBCrM77rij653NX1ukbzqFnbJQH25RvwziwV9XpPVt/0Jr86yFbXvuBcu+4Qaztm3j8rrprqh2Be2aathfU6dd/cfmeZ6CbI0alhTqXa5WLaqHqlxOPXvqAVS4UQ+dAtgZZ5xhe++9d+7j/Pem4PPMM8/Y888/b0cddZS778knn8ydJSi83fR81d3qS4LKF9QT+NFHH+WW72lAUTj1SGqw0qxZs6zt9r9b0XwW77zzjgsn4W644QZXB6xOJAWY8COpkZblf48KwhosrppcUQDWYPD8j1+/fr3df//97n35ZQvqWVZ4V0+tBorlbw/Zfffd7eGHH85tj+Je86yzznKfk3pjRe2vHtvwsJzf/Pnzcz+XcL/88osbD6SyyVq1arllfnurR1gD3dULrCPKRxxxhHsfPr3mpk2bXCmKerWDJuK/1Xz3pd08s9ox83e7f/DBB+6bTqoWfjdurNO1meVYBfvdmqhiO9mbBABIYTocrvPVq3dWAUcDoxRqIx2+njNnjquv1aHr8N7dPfbYo8Bjw8OwKDyqQ8inQ9wKaQq6Cpgtt5fFKUjFQoOSNCNB+OXyyy+3klKYVmBTaUBxZs6c6Xrm1buqHm7/osCv9xdtexT3mvqyofzxxx9/5H6BUO9vUQFMPd/5ex/9dSnMazYHbWv4dupLTN++fW3q1Kku9OafsaFKlSruWiE+kyW1Z1a1UKqNCZ96Szu9PlB9S1GJgHYU7YSiD1TfknQYRB++Dgvom6PqRVKVjhJo0OLs2WZzsna15q+/bjZlitl++yV70wAgc+hQ//b626S8dowUehTIdFEdp0as67C/30tYXKldpDEh+Tt99BzVK/o0yl5leDrkrx5E3aceQtUgx6JatWquFzNe/MAWDf/96HB/kyZN8tyX/yhtUe1R3Gvuu+++rkZX+URfOKZPn+6+fBRFszSsWLEizzJ9EVFg3W+//Vy7q2dWXyZEoXzKlCnWpUuX3O1r06ZNnucvX77cXUeqUc4kSe2Z1bRa2iF0EYVU3fYLsFWfEv6NUN8Sx40b576lqhbo9ttvd4cBUnVaLt/2/dLmHHiWd2PQoKRuDwBkHIU9HepPxiUOpVIKMapjzU+H0BXKVG8aPjZEvXixUI2xeiNvuukm1xupqS/zB69kUd2rwqUGxUXTTgqtyg4K1OEXBfV4vqa+YKhHVgPIVOJR3PqVb9RzHE61verUU+mAjjJrO/0vJvpCo7rpVq1auVKD77//vsA6f/zxR1dqoKCcyZLaM6valaJmFIh0SEX1KN9++60FSW6Y3fcUs28uNVOpxCefqAGSvWkAgBSiUKlBRRdccIE7DK7aU3X83H333XbiiScWeLzu1+FtDQLTUU3VuKoH1x+IFS1NbaWxJwpVOtyuMDhgwIASvQcdns8/vkVjW0oauBTqVHN7/fXXuwFj6qn8+++/3awLGsSWvz0004AGaKmXVQO3FO4nT57sDuGrreL1mmeffbZ7LfWo+keQi6IeXB1x1pcEfyox9Xqr406D0VSPqyPWqu/V568vKarhVQee5tFVqaXehzrzfJMmTSowZWkmCtQAsKDyZ+Oas7yWimPMRozwemc/+ywu39gBAOlBgUsj1DWISbWTOgytHj+V1ml0fSQaba8yPE3TpFpXBTANHIpUn1kYhd8XX3zR9QCqtEA1tzryGT5gKlo6CUL+wVxan2YCKCkNHlMg1pFb1RNr/XrPkeiorUK9puZUTbEO3avmuLD2K+lrqq11ZFglDSeddFKx69MsEep9femll+ySSy5xy1Ri4J/RVIO49IVEPeP+/fpcNOhLl59//tn17PphVmUI6tkdP368ZbqsUKrMMFxG9A1NxfEaFRivqbm0rqKmjnntNRX0m6k+/6s3FnlTHGzYoCGfZsceW+ptSEfRtCto11TB/ppa7ao/8hqDodK0WAJdulA5gupFNUdq/p5L8eeK9afAQsmpplklGQr+0bSrSiXVm6vyAAXVoiikKsSqh1ahXLcnTpyYO2uBZl/QdGwffPBBYD/Cov6txpLX6JktyzKDOW64pNkVV5jdc4/XO6vT+RazQwMAUBj17KnXUzMa6A//kCFD3PJIZQmIDw28UohUGYAGpkerR48erp5Zg9uLq7FVD65OhqHSCZ2MQQPew6ffUsh98MEHS/U+0gVhtgzLDJYu1TcNsx001+wjj5ipmFvF5dsnaAYAoCTuvfdedxha9Z06W5hqKTN9UFAiqWxBta86YUGkadCKctVVV0X1OIXXogT1rF+JQJgtAzVrmumcDsuWafoxs3bt6moOFM2yrCkdCLMAgBLTKHnNQ4qyozN0IXVwfDsZpQay117e9fTpZbUJAAAAaYcwW0YIswAAAPFHmE12mNVUJTGeXQUAAAAewmyywqxGMaqYNifHC7QAAACIGWE2WWFWc9C1bevdpm4WAACgRAizZRxmNQBy27btCxkEBgAAUCqE2TLStKnOTe2Vx/755/aFe+/tXdMzCwAAUCKE2TKiIOufuIPpuQAAAOKDMJvMulm/ZnbhQrOVK8tyUwAAANICYTaZYbZWLW9WA/nxx7LcFAAAgLRAmE1mmBUGgQEAytiRRx5p/fr1S7t2P+yww0r9vkKhkF188cVWp04dy8rKsu+++y7islheKx7bVVaWLVtmDRo0iMspe0899VQbNmyYJRphtgwRZgEAxenVq5cLTP6lbt26dswxx9gPP/xA48W5bf2L2tf3/vvv21NPPWXvvPOOLVq0yNq2bRtx2WuvvWa33357VK8by2OTbejQoXb88cdbixYtSr2uW265xe644w5bvXq1JRJhNlXCLL+kAADbKVwpNOny4YcfWvny5e24445L6fbZHJCzWYa3rX954YUXcu//7bffrFGjRta5c2fbcccdXdtHWqZe2ho1akT1mrE8Npk2bNhgo0aNsj59+sRlfXvvvbcLxWPGjLFEIswmIcz+9ZfZunX5wqxqZkOhstwcAECKqlSpkgtNuuyzzz52ww032MKFC+3vv/9296un8KCDDrJatWq5nlsFXQWucNu2bbO77rrLdt11V7e+nXbayfWSRaL11axZ05555hn385o1a+zss8+2atWquRB3//33FzhUrp+vuOIK69+/v9WrV8+OPvpot3zTpk125ZVXukPVlStXdts5ZcqU3Ocp3AwfPjzP6+s93nbbbXnWrXVcf/31LgiqHcLvl3Xr1tl5551n1atXd9t43333xdy2/qV27dq5Pbf//ve/bcGCBa7HVtsaaZm/jX57+G3dqlUr957zt3X+tlPZwt13320777yzValSxdq1a2evvPJKnu0srg2K+nyfeeYZt1/oswh3yimnuDYrzHvvveeCeqdOnfIsf+SRR2yvvfZy26r95IgjjrBonXDCCXm+LCQCYbYMabzX9n8vNnfu9oWtWnnzdq1a5c1qAACIO/UVqBMhGZfS9lOsXbvW9WwptCig+EFOIVIhUT235cqVs3/9618u4PgGDhzows7NN99sM2fOtOeff94aNmxYYP0vvviinX766S4A+UFH6/7888/trbfesgkTJtikSZPs22+/LfDcp59+2oUfPfbRRx91yxS+Xn31VXefnqPt7tatmy1fvjym963nK0x/9dVXLvgNGTLEbYvvuuuus48//thef/11++CDD+yTTz6xqVOnWmn873//c6/TtGlT12Or9o20LD+1tbbxxhtvtBkzZhTa1r6bbrrJnnzySRs5cqR7/NVXX23nnHOOTZw4Meo2KOrzPe2002zr1q3u8/MtXbrUlUn07t270O369NNPrWPHjnmW6bMcMGCAe52ff/7ZJk+ebNdcc03Ubbr//vvb119/XSBYx1Uow6xatUq/Vtx1PGzbti20YsUKdx2NDh30ay0UevPNsIV77uktfOeduGxTOoi1XUG7JhP7a2q164YNG0IzZ8501761a71fs8m46LVjcf7554eys7ND1apVcxf9zWrUqFFo6tSphT5nyZIl7nHTp093P69evTpUqVKl0OOPP17gsWrPQw45JHTllVeGHn744VDNmjVDH330Ue79em6FChVCL7/8cu6ylStXhqpWrRq66qqrcpcdeuihoX322SfPuteuXeueO2bMmNxlmzdvDjVu3Dh09913u5+bN28euv/++/M8r127dqFbb701z7oPOuigPI/Zb7/9QjfccIO7vWbNmlDFihVDL774Yu79y5YtC1WpUiXPNhbXtv5lyJAhuY/Rtmkbw0Vapm3Ua/lt/dhjj4W2bNkScX/1H+u3UeXKlUOTJ0/O85gLL7wwdOaZZ0bVBkV9vr5LL7001L1799yfhw8fHtp5552L/Pd04oknhi644II8y/773/+G9tprL/dvMZJ777031KRJE/cZtmjRwu1X4b7//nu3b86bNy+qf6slyWv0zKZC3SxnAgMAhDn88MPdiHld1CvXtWtX6969u82fP9/dr5KCs846yx2m3mGHHaxly5ZuuQ6Fy6xZs1xPmGYtKGpQkg59q1dTr+ebM2eObdmyxfWo+XRoeY899iiwjvy9eNouPbdLly65yypUqODWpW2Ktd4ynEoJlixZkvs6qtENPxyuQ/GRtrGotvUvl19+uZVUNG0dTr2oGzdudGUZKpHwL+oZz18qUlgbRPOaF110kfts//jjD/ezeoL9AXBF1cyqTCL/erKzs137ajvzb+OPP/5oDz/8sGtH3X7sscfcenwqTZD169dbopRP2JoR2yAw1ZNwWlsASIiqVXW4PnmvHSsdWtbheV+HDh1coHz88cftP//5jxtt3qxZM/dz48aNXXmBRtj7g7D8AFEU1amqDEAhZ7/99ssNOarnlPyhx1+efzsjPSbSc/1lKonIvy4F4PwUgsPp+X4ZRaRtKWnbllY0bR3Ofw/vvvuuNWnSJM99qn2Npg2iec19993X1eIqJKvMY/r06fb2228X+RzVPq9YsSLP53LGGWe4/UP7mmq09QUqnAKsX8s7bdo0Vzccvn1+eUn9+vUtUeiZLWPbvzwz1ywAlCHlKOWuZFyK6AiLYfuzXAhUj5fmAVXPnOou1TPXunXrPAFEdtttNxcoVE9bGIUS1Zy++eabboCTb5dddnEhSnWOPk2t9MsvvxS7nQqJFStWtM8++yxPIPrmm2/cdvqhRrWn4euemzuQJDp6HW3jl19+mbtMbTB79mwra9G0dbg2bdq40KpedL2P8Iu+oMTzNfv06eO+rIwePdqOOuqoYtevAKyeY5/qkX/99VfX26peeG1j+BcVfalQm5944om2++67uwFmL7/8coGwq3pjBeVEoWc2labn+ukn/avXV7Gy3iwAQArRIeTFixfnhrSHHnrIDQRTj6xG3msgmAKGDjsrFGmATjgdKtYMCBqMpXCpw/6aCUGDjS644ILcxymAKNBq5LwGcmmWAU0hdf7557sBVjq0rFkJbr31VhemizpE7fd6XnrppbnP1Qh7DVzSIeYLL7zQPUYj4TVnq/9eNLBIh7FjocPdWp9eR22hgU+DBg1y2xhL2/r03ksatvy21kXrOfjgg91gK7W1/57DqX2vvfZaN+hLvaya7UGBXgOr9L7U9tG+ZqTP98Kw19SMFHot9ar6M1UURT24GlimfU6fjXr69cXj2Wefde9L+6AG+2kf0pcJlaToS4r/pWLw4MFuwNyDDz6Yu04NHlSZTCIRZpMUZvUlVEca3L+7nXYy22EHfT01+/lns7Zty3qzAAApRFNlKaj64UeHbtXjpdDpz0CgaZtUWqA60QceeCD3Pp9CosKVJq7/888/3fr69u1b4LX0/I8++sg9X6FSU1zprE16rKb8Uk2uQpOmBstfTxnJnXfe6ULaueee66b4Uo/e+PHjc6e/UlhSCNK6VTqhkwnE2jMr99xzjwtXmvpJbaQR9qs0M1AMbRveBj+pQ6mE/ECuMFdUW/v0nvUlQScoUFvo8H379u3dbAixvGZxn+8OO+zgektV0nDSSScVu05Nv6XP66WXXrJLLrnElRiodEDb9ddff7kvKDoaoPv8XtfwOmXtj2PHjs39WbXB6t3V559IWRoFZhlE3370j0c7vD7k0lLzaV1aZ3HfWEUdr/pdoCCrmuzGjbffoWL5yZPNnn/e7MwzLdPF2q6gXZOJ/TW12lV/QBWONCgqmvCVie2qaZsUvqJtV00FpvpOBd1IvY0oWbuWhaOPPtr1nuoLTzTGjRvnenMVVIvr6da8tnqvCrs5OTl25plnunIGP+xqYJjKWDQQLdZ/q7HkNWpmy5gqCNQRW2ipAYPAAABJpt44TXSvkesaJKbD1aLaSATD8uXLXQ++et1jma2hR48eLoz6syAURWUNOqGCam01Y4WOIFx88cW596sUIbzkIFEoM0hSqcG8eV6YPeig7Qs5rS0AIIXce++9bpJ81WRqNgXVPiZyEA/iq3379q72VSdWiGbKsnBXXXVVVI/TiRqKEh5sE4kwm6Qw+9FH9MwCAFKTetpKezYtJNc89ZplCMoMUm1GA014HUUBOwAAAAizqRNmNcqzaVPv9o8/JmW7AAAAgoae2VQJs8IgMAAAgJgQZpMYZnUClDynKibMAgAAxIQwmwR16njnSJA89dmEWQCIG03cDyB1xetUB8xmkASaS7llS7Pvv/fOBNamTYQwqw84hSZdBoCg0FRSmuxdZ0WqX7+++zmVJrFPtlSd3D/oaNfY20un4NU+qPloS4MwmyQNGnjXy5eHLfTngVu50mzpUrP69ZOybQAQZAqyOqOQzimvQIvIvdbFnd0JsaNdY6Mg27RpU/fFqjQIs0nilxmsXh22UKdya9LEO8+tumwJswBQIuqN3WmnndwpNtULibw9YmvWrLEaNWrQMxtHtGvs1CNb2iArhNkkqVnTuy4wpazqD/wwu//+ydg0AEgL/uHL0h7CTDcKXZs2bbLKlSsTZmnXtMAxhlTqmfXDrCjMAgAAoEiE2SQhzAIAAJQeYTYVywyEnlkAAIBiEWZTtWe2wOnBAAAAkB9hNslhttCe2QULzBiBCwAAUCTCbJLLDAr0zGpqLo283bLFm9UAAAAAhSLMplqZgeZba97cu03dLAAAQJEIs6lWZiAMAgMAAIgKYTYFygxCoXx3EmYBAACiQphNcs9sTo7Zxo357iTMAgAARIUwmyTVq+tUi8XMaMD0XAAAAEUizCZJuXJmNWp4tzmlLQAAQMkQZlN5rtk//4xQgwAAAAAfYTYV55qtV8+sWjXv9vz5Zb5dAAAAQUGYTcW5ZlVMu/PO3m3mmgUAACgUYTaJmGsWAACgdAizqVhmIEzPBQAAUCzCbCqWGQhhFgAAoFiE2RTomS3ylLbMNQsAAFAowmwS0TMLAAAQ8DA7YsQIa9mypVWuXNk6dOhgkyZNKvLxY8aMsXbt2lnVqlWtUaNG1rt3b1u2bJmlbZhdsaKQrlsAAAAkNcyOHTvW+vXrZ4MGDbJp06bZwQcfbN27d7cFCxZEfPxnn31m5513nl144YU2Y8YMe/nll23KlCnWp08fS7syA53vVvPNCtNzAQAApF6YHTZsmAumCqOtW7e24cOHW7NmzWzkyJERH//ll19aixYt7Morr3S9uQcddJBdcskl9s0331ja9cwKc80CAAAUqbwlyebNm23q1Kk2YMCAPMu7du1qkydPjviczp07u17ccePGuR7cJUuW2CuvvGLHHntsoa+zadMmd/Gt3p4cQ6GQu5SWv56SrKtGDf0/y1at0vMjPKBlS8v6+msLaRBYHLY1SErTrqBdyxr7K+0aJOyvtGsQxPL3P2lhdunSpbZ161Zr2LBhnuX6efHixYWGWdXM9uzZ0zZu3Gg5OTl2wgkn2IMPPljo6wwdOtQGDx5cYPmqVaviFmbXrl3rbmfpzF0xyM7OVqS1lStDtmpVwe7Zyo0aWWUF/59/tg0ZVjdbmnYF7VrW2F9p1yBhf6Vdg8DvfEzpMOvLH1T0j6yw8DJz5kxXYnDLLbdYt27dbNGiRXbddddZ3759bdSoURGfM3DgQOvfv3+exlEpQ82aNW0H/zh/KfiBWOuLNXQ1buxdr12b5Z5fQKtW7qriH39YxUj3p7HStCto17LG/kq7Bgn7K+0aBLH87U9amK1Xr57rmczfC6vSgfy9teG9rF26dHEBVvbee2+rVq2aGzj2n//8x81ukF+lSpXcJVIjxSsk+euKdX3/nAHMe16Bp2+vmc3SALAMDHQlbVfQrsnA/kq7Bgn7K+2a6mL525+0AWAVK1Z0U3FNmDAhz3L9rHKCSNavX2/lypWLcKg+ttqKVOGH2W3bzNatK2J6rnnzMq5mFgAAIOVnM9Dh/yeeeMJGjx5ts2bNsquvvtpNy6WyAb9EQFNx+Y4//nh77bXX3GwHc+bMsc8//9yVHey///7W2D9mHyBVqyqMe7cjlobstJPXI7thg9lff5X15gEAAKS8pNbMaiCXTngwZMgQV//atm1bN1NB8+bN3f1aFj7nbK9evWzNmjX20EMP2TXXXGO1atWyI444wu666y4LIuVUle3650UokMcrVjRr1sxMbaBSgx13TNKWAgAApKakDwC77LLL3CWSp556qsCyf//73+6SLvwwW+igPZUa+GG2U6cy3joAAIDUlvTT2WY6f0KFQmfe8utmOQsYAABAAYTZJPtnRoNiwqxOnAAAAIA8CLOpfkpbemYBAAAKRZhNMsoMAAAASo4wG5Qyg4ULzXJyymy7AAAAgoAwm+plBjqrmc5gtnWrF2gBAACQizCbIj2zhc5moDOetWjh3WZGAwAAgDwIs6neMysMAgMAAIiIMJtkhFkAAICSI8ymepmBMNcsAABARITZIPXMzptXJtsEAAAQFITZVJ9nVvwBYIRZAACAPAizqT7PbHiYXbTIbOPGMtkuAACAICDMpkjP7Jo1Ztu2FfKgunXNqlf3bi9YUGbbBgAAkOoIsykSZv1AG1FWFnPNAgAARECYTbLKlc0qVIih1IC6WQAAgFyE2SRTp2tUMxoQZgEAAAogzAZlrlnCLAAAQAGE2RTAXLMAAAAlQ5gN2lyzc+eWyTYBAAAEAWE2aHPN/vWX2YYNZbJdAAAAqY4wG5Qyg9q1zWrU8G7Pn18m2wUAAJDqCLNBKTMIn2uW6bkAAAAcwmxQygykZUvvmjALAADgEGaDUmYgDAIDAADIgzAblHlmhTIDAACAPAizQeyZpcwAAADAIcwGZQCYEGYBAADyIMwGcQDYkiVm69cnfLsAAABSHWE2SGUGtWr9k3wpNQAAACDMBqrMQCg1AAAAyEXPbArwO1tVOZCTU8yDCbMAAAC5CLMpwD9LraxZU8yDCbMAAAC5CLMpoFIl7xJVqQFnAQMAAMhFmA3ajAacBQwAACAXYTZFcOIEAACA2BFmg3ZK2+bNveulS83Wrk34dgEAAKQywmwQ55rVRebPT/h2AQAApDLCbBDnmmUQGAAAgEOYDdoAMGEQGAAAgEOYDVqZgTDXLAAAgEOYTRGc0hYAACB2hNkglxnMm5fQbQIAAEh1hNkglhkwAAwAAMAhzAZtntnwuWaXLTNbsyah2wUAAJDKCLNB7JnVg+vU8W5TagAAADIYYTaIA8CEulkAAADCbCAHgAlhFgAAgDAbyDIDYRAYAAAAYTbVwuzGjWabN0fxBM4CBgAAQJhNtTArzDULAAAQHQaApYjy5c2qVvVuE2YBAACiQ5gN+iltV6yIYQoEAACA9EKYDeqMBtWrm9Wr592ePz+h2wUAAJCqCLNBntGAQWAAACDDEWaDekpbIcwCAIAMR5gNcs/sLrt417/9lrBtAgAASGWE2SCf0tYPs7/+mrBtAgAASGWE2SCf0nbXXb1remYBAECGSnqYHTFihLVs2dIqV65sHTp0sEmTJhX5+E2bNtmgQYOsefPmVqlSJdtll11s9OjRltFlBvPmmW3dmrDtAgAASFXlk/niY8eOtX79+rlA26VLF3v00Uete/fuNnPmTNtpp50iPuf000+3v/76y0aNGmW77rqrLVmyxHJyciwjywyaNDGrWNE7/+3Chf8MCAMAAMgQSQ2zw4YNswsvvND69Onjfh4+fLiNHz/eRo4caUOHDi3w+Pfff98mTpxoc+bMsTp16rhlLdIowMVcZpCdbdaypdnPP3t1s2nUFgAAACkdZjdv3mxTp061AQMG5FnetWtXmzx5csTnvPXWW9axY0e7++677dlnn7Vq1arZCSecYLfffrtVqVKl0LIEXXyrtyfFUCjkLqXlryce66pRQ//PstWrtb4on7Trrpb1888WUpg98khLF/FsV9Cuicb+SrsGCfsr7RoEsfz9T1qYXbp0qW3dutUaNmyYZ7l+Xrx4ccTnqEf2s88+c/W1r7/+ulvHZZddZsuXLy+0blY9vIMHDy6wfNWqVXELs2vXrnW3s7KySrWu8uX1cVS35cu32qpV3jqLU6VpU6uk0D5zpm1Mo9PaxrNdQbsmGvsr7Rok7K+0axD4nY8pX2YQKajoH1lh4WXbtm3uvjFjxljN7cfkVapw6qmn2sMPPxyxd3bgwIHWv3//PI3TrFkz9/wd/CLVUvADsdZX2tDVqJF3vW5ddu77K1br1u6q0h9/WKVonxMA8WxX0K6Jxv5KuwYJ+yvtGgSx/O1PWpitV6+eZWdnF+iF1YCu/L21vkaNGlmTJk3yBL3WrVu7f5i///677bbbbgWeoxkPdInUSPEKSf66Sru+f84ApnXFNj1XlsoM0iz0xatdQbuWBfZX2jVI2F9p11QXy9/+pE3NVbFiRTcV14QJE/Is18+dO3eO+BzNePDnn3/mHn6W2bNnW7ly5axp06aWTgPAoq6ACD8LGPWlAAAgwyR1nlkd/n/iiSdcveusWbPs6quvtgULFljfvn1zSwTOO++83MefddZZVrduXevdu7ebvuvTTz+16667zi644IJCB4AFMcxu2WK2YUOUT9JsBvr2sm6durUTuXkAAADpEWZ79erlgmRp9ezZ003HNWTIENtnn33cOseNG+dOiCCLFi1y4dZXvXp113O7cuVKN6vB2Wefbccff7w98MADlg40m4Fm25IVK6J8kkoomjXzbnMmMAAAkGFKVDO7Zs0aN4WWBlKpl/T88893tawlodkIdInkqaeeKrCsVatWBUoT0oU6WDV97t9/my1f7p0TIepSA4V+1c0WUqIBAACQjkrUM/vqq6/aH3/8YVdccYW9/PLL7sQFOnPXK6+8Ylt0jBwltv1cEC7MRi28bhYAACCDlLhmVrWrV111lU2bNs2+/vprd2rZc8891xo3buxqX3/55Zf4bmmGKFGY3T6jAWEWAABkmlIPAFNd6wcffOAummqrR48eNmPGDGvTpo3df//98dnKDELPLAAAQILDrEoJVGpw3HHHucFaKjVQb6yC7dNPP+2CrU43q4FdKMMwq5pZAACADFKiAWA6eYHOxnXmmWe6EgPNRJBft27drFatWvHYxoxSqjC7dKk3SW0czmwGAACQtmFW5QOnnXaaVa5cudDH1K5d2+bOnVuabctIJQqzCq/163vTIGgQ2L77JmrzAAAAgl9mcMIJJ9j69esLLF++fLmtVs8gyjbMCjMaAACADFSiMHvGGWfYiy++WGD5Sy+95O5DEsMsdbMAACCDlCjMfvXVV3b44YcXWH7YYYe5+1By9MwCAAAkOMxu2rTJcnJyIs5ysGHDhpKsEtvVrl3CnlnmmgUAABmoRGF2v/32s8cee6zA8kceecQ6dOgQj+3KWPTMAgAAJHg2gzvuuMOOOuoo+/777+3II490yz788EObMmWKm2MWpQ+za9eabd5sVrFijDWzCxeq69ysUiU+BgAAkPZK1DPbpUsX++KLL6xZs2Zu0Nfbb7/tTmf7ww8/2MEHHxz/rcwg4VPzrlgRwxMbNDCrVs0sFDJjSjQAAJAhStQzKzpRwpgxY+K7NbDsbC/Qrlzp1c02bBhlo2RleXWz33/vzTXbqhWtCQAA0l6Jw6zOAPbrr7/akiVL3O1whxxySDy2LaNLDRRmY+qZ9UsN/DALAACQAUoUZr/88ks766yzbP78+RbSYe0wWVlZtnXr1nhtX8aG2TlzmGsWAAAgIWG2b9++1rFjR3v33XetUaNGLsAifpjRAAAAIIFh9pdffrFXXnnFDfpCCoVZ5poFAAAZpkSzGRxwwAGuXhYp2jOr2Qwo9QAAABmgRD2z//73v+2aa66xxYsX21577WUVKlTIc//ee+8dr+3LSCUOs82amemz0AS1v/9u1rx5IjYPAAAg2GH2lFNOcdcXXHBB7jLVzWowGAPAkhhmNa9XixaqA/FmNCDMAgCANFeiMDuXSflTM8z6pQZ+mD3iiHhvGgAAQPDDbHN6/FI3zDIIDAAAZJASDQCTZ5991p3WtnHjxm6+WRk+fLi9+eab8dy+jFTqnllhgB4AAMgAJQqzI0eOtP79+1uPHj1s5cqVuSdJqFWrlgu0SIEwy1nAAABABihRmH3wwQft8ccft0GDBlm2Bh1tpxMpTJ8+PZ7bl9FhVqe0jXmGrfAwm+/sbAAAAOmmXEkHgO27774FlleqVMnWrVsXj+3KaLVre9fKoqtWxfjknXfW1BJma9aY/f13IjYPAAAg2GG2ZcuW9t133xVY/t5771mbNm3isV0ZrWJFs+rVS1hqULmyNz2XzJoV920DAAAI/GwG1113nV1++eW2ceNGN7fs119/bS+88IINHTrUnnjiifhvZYb2zq5dW8K62datvbOAKcweemgCtg4AACDAYbZ3796Wk5Nj119/va1fv97OOussa9Kkif3vf/+zM844I/5bmYFUN7twYQnDrHrHx40zmzkzAVsGAAAQ8DArF110kbssXbrUtm3bZg0aNIjvlmU4fxDYihUl7JkVwiwAAEhzJQ6zvnr16sVnSxC/6bn8umVqZgEAQJqLOsy2b9/ePvzwQ6tdu7abySBLI+YL8e2338Zr+zJWqcKs3zP755/e/F61asV12wAAAAIXZk888UQ39ZacdNJJidwmlDbM1qxp1rixF2bVO9upE20KAAAyO8zeeuutEW8jBcOsX2pAmAUAAGmuRPPMTpkyxb766qsCy7Xsm2++icd2Zby4hFlhEBgAAEhjJQqzmmN2oeaNyuePP/5w9yEFwqxfN8sgMAAAkMZKFGZnzpzpBoTlp4Fhug+lR88sAABAgsKsBoL99ddfBZYvWrTIypcv9WxfiGeYnTfPbN062hQAAKSlEoXZo48+2gYOHGirVq3KXbZy5Uq78cYb3X2Ib5gNhUqwAs3/688B/PPPfCQAACAtlSjM3nfffa5mtnnz5nb44Ye7S8uWLW3x4sXuPsQvzObkmK1dW8KVMAgMAACkuRLVBDRp0sR++OEHGzNmjH3//fdWpUoV6927t5155plWoUKF+G9lBqpSReUcZps2eb2zNWqUcBDYp58yowEAAEhbJS5wrVatml188cXx3Rrk0gnW1Du7aJEXZps3L0HjcFpbAACQ5qIOs2+99ZZ1797d9bzqdlFOOOGEeGxbxgsPsyVCmQEAAEhzUYdZncJWNbENGjQo8nS2WVlZtnXr1nhtX0aL21yzv/3m1StsPx0xAABAxoXZbdu2RbyNFA6zjRub7bCD2erVZr/8Yta2bTw3DwAAIDizGdSpU8eWLl3qbl9wwQW2Zs2aRG4XwsLsihWlKLyl1AAAAKSxqMPs5s2bbbV6+Mzs6aefto0bNyZyuxCPnlnhtLYAACCNRV1m0KlTJ1cr26FDBwuFQnbllVe6KbkiGT16dDy3MWPVrh2HMEvPLAAASGNRh9nnnnvO7r//fvtNg4nM3Nm/6J0NQM8sYRYAAKSxqMNsw4YN7c4773S3dbavZ5991urWrZvIbct4cS0zmD3bO51Y+RJPLQwAAJAeA8B0+tqKFSsmcrsQr55ZnW1B5SCbN5vNmUO7AgCAtMIAsHQPs+XKmbVq5d2eNSsu2wUAAJAqGACW7mHWr5udNs1s5kyzE0+Mx6YBAAAEdwCYzvLFALCyC7MbNniXQiaPKB6DwAAAQJpiAFgK08m7srPNdHZgnTihxGGWuWYBAECm18xKjx49XI/s3Llz3UwGd9xxh61cuTL3/mXLllkbvxcQpaYTeMV1rlnVzHIqYgAAkKlh9v3337dNmzbl/nzXXXfZ8rCUlZOTYz///HN8tzDDxaVudpddzCpUMFu/3mzhwnhtGgAAQLDCbH46ExgCEGY1t+zuu3u3NQgMAAAgTZQqzMbDiBEj3EkYKleu7E6VO2nSpKie9/nnn1v58uVtn332sXQW1xkNhDALAAAyNcxqFgNd8i8rqbFjx1q/fv1s0KBBNm3aNDv44IOte/futmDBgiKfp7rd8847z4488khLd3EPs8w1CwAA0kj5WMsKevXqZZUqVXI/b9y40fr27WvVqlVzP4fX00Zj2LBhduGFF1qfPn3cz8OHD7fx48fbyJEjbejQoYU+75JLLrGzzjrLsrOz7Y033rB0Frcw689o8OOPpd4mAACAQIbZ888/P8/P55xzToHHqMc0Gps3b7apU6fagAED8izv2rWrTZ48udDnPfnkk26uW817+5///KfY11HADg/Zq1evzg3m8aj59deTqPphbzaDLFu+XK9RihW1a2fqQw/98IPZli1eHW0KS3S7ZiralXYNEvZX2jVI2F/jK5a//zElGgXJeFm6dKlt3brVGjZsmGe5fl68eHHE5/zyyy8u/KquVvWy0VAP7+DBgyOWKsQrzK5du7bUJReFqVq1ov5vS5ZssVWr1pd8RQ0aWM3q1S1r7Vpb/c03ts3vqU1RiW7XTEW70q5Bwv5KuwYJ+2t8+Z2P0Uh691z+oKKdIVJ4UfBVaYGC6e7+yPwoDBw40Pr375+ncZo1a2Y1a9a0HXRWglLyA7HWl4jQ1bixd71mTQX3GqWy775mkyZZjdmzzQ480FJZots1U9GutGuQsL/SrkHC/hpfsfztT1qYrVevnqt5zd8Lu2TJkgK9tbJmzRr75ptv3ECxK664wi3btm2b23nUS/vBBx/YEUccUeB5qu/1a3yLG8xWUv66EhG66tb1rpcv1/pLubL27V2Yzfr2W9WMWKpLZLtmMtqVdg0S9lfaNUjYX+Mnlr/9SZuaq2LFim4qrgkTJuRZrp87d+5c4PHqRZ0+fbp99913uRcNPttjjz3c7QMOOMDSUdwGgEmHDt61wiwAAEAaSGqZgQ7/n3vuudaxY0fr1KmTPfbYY25aLoVUv0Tgjz/+sGeeecbKlStnbdu2zfP8Bg0auPlp8y9PJ3E5nW14z6xMm6a6DbPs7DisFAAAIEPDbM+ePW3ZsmU2ZMgQW7RokQul48aNs+bNm7v7tay4OWfTnd8zqzpoTUKgs9KWWKtWGlFmtm6dRtN5PwMAAARYVijD5j7SADANKtJsBvEaAKZ1JWqgUk7OPwF2yRKz+vVLucIuXcw09dlzz5mdfbalqkS3a6aiXWnXIGF/pV2DhP01eXkt6aezRdE0A5k/iUFcSw2omwUAAGmAMJupg8CmTo3DygAAAJKLMJtpYTZ8ENi2bXFYIQAAQPIQZjMtzLZpY1a5sjei7Lff4rBCAACA5CHMZlqYVRFuu3bebepmAQBAwBFmMy3MhpcaUDcLAAACjjCbiWGWM4EBAIA0QZjN5J5ZlRlk1jTDAAAgzRBmA6BuXe/677/jtMI99zSrWNFsxQqzuXPjtFIAAICyR5gNgGbNvOuFC+O0QgXZvfbybjMIDAAABBhhNgB22sm7XrAgjlUBnDwBAACkAcJsADRt6l2vX88gMAAAgHCE2QDQOQ4aNvyndzbu03MxCAwAAAQUYTaApQZxoZpZnUBh2bI4FuMCAACULcJspobZSpXM2rb1bnPyBAAAEFCE2UwNs8LJEwAAQMARZjM5zHJaWwAAEHCE2YBIaM8sg8AAAEBAEWYDonlz73r+/DiudO+9zbKzzZYsMfvzzziuGAAAoGwQZgPWM7tokdmmTXFaaZUqZm3aeLc5ExgAAAggwmxA1KvnzTcrf/yRgFKDr76K40oBAADKBmE2ILKyElQ3e9BB3vWnn8ZxpQAAAGWDMBsgCQmzhx76T8/sxo1xXDEAAEDiEWYzPczusotZo0ZmmzdTagAAAAKHMJvpYVb1C37v7MSJcVwxAABA4hFmMz3Mih9mqZsFAAABQ5gNkISF2UMO8a4nT/bKDQAAAAKCMBvQEyeEQnFccevWZvXrm23YYPbNN3FcMQAAQGIRZgOkaVPvev16s+XL41w36/fOUmoAAAAChDAbIDppQsOGCS41YBAYAAAIEMJswCR8ENhnn5nl5MR55QAAAIlBmA2YhIXZvfYyq1XLbO1as+++i/PKAQAAEoMwGzAJC7PlypkdfLB3m1IDAAAQEITZgElYmBVOngAAAAKGMBswZRJmJ00y27YtAS8AAAAQX4TZgElomN1nH7MaNcxWrjSbPj0BLwAAABBfhNmAhtlFixJwsq7y5c26dPFuUzcLAAACgDAbMDpRl+ab1RnAfv89gaUGnDwBAAAEAGE2YHSyroSWGoSfCSyu58wFAACIP8JsACU0zHbsaFalitnff5vNmpWAFwAAAIgfwmwAJTTMVqxo1rmzd5tSAwAAkOIIswGU0DAbXmrAIDAAAJDiCLMBlPAwG37yBOpmAQBACiPMBlDCw+wBB3jlBpr/a/bsBL0IAABA6RFmAx5mE9Jxqrm/DjvMu/3WWwl4AQAAgPggzAZQs2be9bp1ZitWJOhFTjrJu3799QS9AAAAQOkRZgNIHacNG3q3589P0IuceKJ3/cUXXrkBAABACiLMBlTC62YbN/ZqZ4VSAwAAkKIIswGV8DAr//qXd02pAQAASFGE2YAqkzDr181+9JHZqlUJfCEAAICSIcwGVJmE2T32MGvd2mzLFrNx4xL4QgAAACVDmA2oMgmz4b2zb7yR4BcCAACIHWE2oMoszPp1s+qZ3bgxwS8GAAAQG8JswMOsZs3avDmBL9Shg1mTJmZr13q1swAAACmEMBtQ9et7883qDGB//JHAFypX7p85Z5nVAAAApBjCbEBlZf3TO5uwEyfkLzXQfLNbtyb4xQAAAKJHmA0wP8zOm5fgFzr0ULNatcyWLPHOCAYAAJAiCLMBplmz5IcfEvxCFSqYHXecd5tSAwAAkEIIswHWsaN3/c03ZfBi4VN0qVAXAAAgBSQ9zI4YMcJatmxplStXtg4dOtikSZMKfexrr71mRx99tNWvX9922GEH69Spk40fP94yPcx++20ZlLIec4w34mzOHLPp0xP8YgAAAAEIs2PHjrV+/frZoEGDbNq0aXbwwQdb9+7dbUEhk6d++umnLsyOGzfOpk6daocffrgdf/zx7rmZSCfoqlbNbN06s59+SvCL6YWOPtq7zQkUAABAikhqmB02bJhdeOGF1qdPH2vdurUNHz7cmjVrZiNHjoz4eN1//fXX23777We77bab/fe//3XXb7/9tmWi7GxvGtgyKzXwZzV45RVKDQAAQEoon6wX3rx5s+tdHTBgQJ7lXbt2tcmTJ0e1jm3bttmaNWusTp06hT5m06ZN7uJbvXq1uw6FQu5SWv564rGuklCY/fTTLJsyJWTnnZfgFzvhBLNKlSxr+nQLTZ36T5JOgGS3a7qiXWnXIGF/pV2DhP01vmL5+5+0MLt06VLbunWrNWzYMM9y/bx48eKo1nHffffZunXr7PTTTy/0MUOHDrXBgwcXWL5q1aq4hdm1OjuWm/s1y8pamzYVVANgX3+91Vat8rYjYbKzrepxx1nFV1+1zSNG2IZhwxL2Uslu13RFu9KuQcL+SrsGCftrfPmdjykdZn35g4p2hmjCywsvvGC33Xabvfnmm9agQYNCHzdw4EDr379/nsZRKUPNmjXdILLS8gOx1peM0HXIId719OnZVrVqTTeLVkJdeqnZq6+6QFvxgQe8WtoESHa7pivalXYNEvZX2jVI2F/jK5a//UkLs/Xq1bPs7OwCvbBLliwp0FsbaeCYam1ffvllO+qoo4p8bKVKldwlUiPFKyT560pG6Np1VwU+9TRn2cyZZvvsk+AXPPxws513tizNaqDa2V69EvZSyWzXdEa70q5Bwv5KuwYJ+2v8xPK3P2kDwCpWrOim4powYUKe5fq5c+fORfbI9urVy55//nk79thjLdOVK1fGg8D0ghde6N1+4okyeEEAAIAUnc1Ah/+feOIJGz16tM2aNcuuvvpqNy1X3759c0sEzgsb1aQgq59VK3vggQe6Xl1dVP+ayfbbrwzDrKg3VlMpfP652axZZfSiAAAAKRZme/bs6abbGjJkiO2zzz5uHlnNIdu8eXN3/6JFi/LMOfvoo49aTk6OXX755daoUaPcy1VXXWWZrEzPBCaNG5v5veKjRpXRiwIAABSUFcqwuY80AEyDitSbG68BYFpXMgcqzZtn1rKlucFfa9a42bMST3P7aqquevXMfv897i+aCu2ajmhX2jVI2F9p1yBhf01eXkv66WxReurIrlvXbMsWsx9+KKMW7d7drFEjzbFm9tZbZfSiAAAAeRFm04A6Lsu81KB8ebPevb3bDAQDAABJQphNE2UeZsWf1UAzUqjWAQAAoIwRZtNEmc9oIDvvbHbkkSoUMhs9ugxfGAAAwEOYTbOe2RkzzNavL8MX7tPHu1aY3bq1DF8YAACAMJs2NFvWjjt6efL778vwhU86yaxOHbM//jB7//0yfGEAAADCbFoOApsypQxfuHJlM//EFsOGleELAwAAEGbTSlIGgUm/ft4ktx99ZPbZZ2X84gAAIJNRM5tGkjIIzJ/oVqe4lSFDyvjFAQBAJiPMppEOHbzrn37yzgRWpgYO9Oae1TRdX3xRxi8OAAAyFWE2jTRsaNasmTdT1rRpZfziOp+uXzs7eHAZvzgAAMhUhNk0k7S6WbnxRrPsbLPx482++ioJGwAAADINYTbNJGVGA98uu5idc453m9pZAABQBgizaSapPbMyaJBZuXJm48YlKVEDAIBMQphN0zD7669mS5YkYQN2283s7LO92/TOAgCABCPMphmdjMuf1eDVV5PcO/vOO2bffpukjQAAAJmAMJuGzjrLux4zJkkbsMceZmec4d2mdxYAACQQYTYN9ezpnd7288/N5s1L0kbcdJO3EW++afbll0naCAAAkO4Is2moSROzww7zbr/4YpI2onXrf+advfhisy1bkrQhAAAgnRFm05Q/Buv555O4EffcY1a3rtn06d5tAACAOCPMpqmTTzarWNHLkbokRf36ZsOH/1M7O3t2kjYEAACkK8Jsmqpd26xHD+/2Cy8kuYu4WzezTZu8coNt25K4MQAAIN0QZjNgVgOVGiQtQ2oQ2MiRZlWrmk2caDZ6dJI2BAAApCPCbBo77jizGjXM5s83++KLJG5Iy5Zmt9/u3b72WrNFi5K4MQAAIJ0QZtNYlSpe7WzSB4LJlVd6pydbtcq7DQAAEAeE2QwpNXjppSTPjlW+vNkTT5hlZ5u98oo3/ywAAEApEWbT3BFHmDVoYLZ0qdn//V+SN6ZdO7PrrvNu9+1r9uefSd4gAAAQdITZNKcOUZ0RLCVKDeSWW8zatjVbvNjslFO8WQ4AAABKiDCbQaUGr79utm5dChTyvvGGWa1a3mluL7vMLBRK8kYBAICgIsxmgAMOMNt5Zy/Ivv12srfGzHbZxWzsWLNy5bypukaMSPYWAQCAgCLMZgBN9er3zj75pKWGrl3N7rrLu92vnzcHLQAAQIwIsxmiVy+vfvaDD8w+/NBSwzXXmJ15pllOjtlpp5ktWJDsLQIAAAFDmM0QOrKv8lTp399s69YU6TLWdF377mv2999mJ51ktn59srcKAAAECGE2g2giAY27+uEHs6eestSg09xqZFq9embTpnk9tZs3J3urAABAQBBmM0jdul6glZtuMluzxlJD8+Zmr75qVrmy2VtveSUHBFoAABAFwmyGufxys1139aZ59cdfpYRDDvGCbHigZQ5aAABQDMJshqlY0eyee7zb992XYmOujj7amzuscmXLevttq3b++QRaAABQJMJsBjrxRLNDDzXbuNHsxhsttRx1lAu0ocqVrcL48WannkqgBQAAhSLMZiBNIjBsmHc9ZozZ119b6gXat95ygTbr3Xe9094yywEAAIiAMJuh2rc301F8f6qulDuj7FFH2boXX3SB1hRoO3c2+/XXZG8VAABIMYTZDHbHHd7MWJ9/7p1VNtXkqBbi/ffN6tc3+/57s44dvcFhAAAA2xFmM1jjxmY33+zd7tvXbMIESz2a5UDzz3bqZLZqlVfwq0JfnTUMAABkPMJshrv++n/OKKvS1O++s9TTpInZJ5+YXXWV9/PQoWbdupktWZLsLQMAAElGmM1w5cqZPfmk2eGHeydR6N7dbP58S805xYYPN3vxRbNq1cw++shs773NnnsuBQt+AQBAWSHMwipV8s4ou9de3skUjjnGbPnyFG2Ynj3Npkwxa9PG7K+/zM4910viM2Yke8sAAEASEGbh1KxpNm6cWdOmZj/95JWmah7alNS6tdm335r9979mVaqYTZxots8+Xs3E2rXJ3joAAFCGCLPIpSCryQMUbD/7zOyss1L4fAXqTh440GzWLLOTTvKKfnVqMwVdlR5s3ZrsLQQAAGWAMIs89tzT7M03vRJVlR6k/PSuzZt7G/rOO2YtW5r9/rtXeqCaiZdeMtu2LdlbCAAAEogwiwI0vevbb5vVresdzdcJFpQLU9qxx3p1syo9qF3b67FVfa3KDxR2GSQGAEBaIswioq5dvWm6DjrIm+VAufCyy1K4jlZUP6vSg7lzzQYPNtthB7Pp081OPtmsQwezJ54wW7062VsJAADiiDCLImtoP/7Yy4cycqR37gINEEtpKvq95RazefPMbrrJrHp178QLF11k1qiRdx5fzVtLCQIAAIFHmEWRypf3jty/955ZvXpeb23btmZ9+qTofLThVG5w++1eT+2dd5rtsYfZ+vVmzzzjTee1665mt97qnSqXMgQAAAKJMIuoaO5ZBdkePbyJAkaNMtttN7PLLzf7448Ub0Sl8Btu8OpoJ0/2emhr1PBC7pAhXl2tBo/pDGPqiuZUuQAABAZhFjGdVfbdd71pu444wmzLFrMRI8x22cXs6qvN5sxJ8cbMyvLqJB57zDs7xLPPehPqqtZW3cwPPOC9sQYNzM44w6uxVakCAABIWYRZxKxLF7MPP/Q6MTVATHPR6kyzCrX6WVlxxYoUb9iqVc3OOcfsjTfMli715iPr3dvrxdXGjx3r9eCqx1Zv7JJLvCkdNPUXAABIGVmhUGYVC65evdpq1qxpq1atsh002r2U1Hxal9aZpZ6/DKO9Z8IE73wFCrj+3qR5ao8/3jvxgspTVb4aiHZVDcWXX3pvSm9It/OXHTRubHbAAf9cNFOCyhYCINP310ShXWnXIGF/pV3TLa8RZkuJXwr/UO3s889746t+/DFsJ8sy23tvb/5aXQ45xOsADUS7al6yTz81+7//82ZA0FRfkc4u1qKFd8YJjY7zr3ff3axaNUslKdOuaYZ2pV2DhP2Vdg0CwmycGica/FKI1CbeBAEqSdWJuWbPLvgYDR5r184LubrWZaedvOCb0u26bp13JomvvvIu6rktqvRgxx29MgVddt7Zu9ZZy/Rm1cNboUJZbn3qtmvA0a60a5Cwv9KuQUCYjVPjRINfCsVbtMjr3Jw40bvWiboKmx5Ws2Up87VsGbJGjTbYnntWsZYts1zuU5lrSlLNrd6ULuqS9q+XLy/6eeXKefPeKthqUl+NsNMbDb80bOg1TJyCJ/trYtCutGuQsL/SrkEQqDA7YsQIu+eee2zRokW255572vDhw+3ggw8u9PETJ060/v3724wZM6xx48Z2/fXXW9++faN+PcJsamQ/ncPghx+8HlxdNGuWZkcoSq1a/2Q8ZUB1emrigfr1vYt/W49TCauyYlIpzGqKh99+++einxcu9C6bN0e3HvXeqi5DF71BXetcw7rUqZP3on/wuqgBdMnX88sfscSgXWnXIGF/pV2DIJa8Vt6SaOzYsdavXz8XaLt06WKPPvqode/e3WbOnGk7qbcqn7lz51qPHj3soosusueee84+//xzu+yyy6x+/fp2yimnJOU9IHbKYkcf7V18ynUqR1De0/Svv/0Wstmzc2zhwvI2b16WbdhgtnKld5k5s/jXUEemspw6Nf2LTgTmX1TK6l+HX9T7619rxi5dwm9XquQNbsvOjuKN+gGzY8eC9+nsY0uWeKF2wQLvWl3Yf/7pFR/712vXeilf9+kSK2203qjexPY3V11vQL8Ywt9spDfvP8d/85Ur/3NRQ+ha6/IvCs6ULgAAylhSe2YPOOAAa9++vY3UeVK3a926tZ100kk2dOjQAo+/4YYb7K233rJZ6sbbTr2y33//vX3xxRdRvSY9s8HrOTDLstWrvXwXfvnrL7O///Yyoa7929F2eJaGen39/OZf578dftGZ1PzbCsL6Wdfht7VO/9q/ZIdyrNymDe6SvXm9lduw3spt3H7ZtN6yN66zcht00X3rrNxmPXajlcvZZOVsm2VZqNDroi5FPUYiXbvb2eUtK7ucZZUvZ1nZ2dtvZ//zc7ms3Dfu33bX5XR/uYI/Z2V5P+va/3n7tddAaqh/nuMu/n3uovKM7etzN8Nu+1334fe5ao7tr+lubl+Xbm7fjgI/Z3mtsGnzZqtUuZKV89e7/T63zf76/eXh94cv2y739SPcF3E9kRT1uHzLsgo9ilHIdoRve2HbWczyiIvzLdTvgQ0bNliVKlUi13hHWFbo96m4VOqkR515yEK2fv0Gq1q1ivb2vHfyhbTk7RoK2foNG6xqYftrmmjTrZnV3El/mxMrED2zmzdvtqlTp9qAAQPyLO/atatN1lmaIlBg1f3hunXrZqNGjbItW7ZYhQiDaTZt2uQu4Y3j73TxyPH+ejJshrOEC29X/U7wj563alX8czduNFu1Ku9FH7s6OXXRGC7/ti46w60uWu5f1BOsi5b7t7dty8rTsarX0SWx9E9U034FY+ov27r9UgZfKAAAZW/CXVPtyOvaJ/x1YslVSQuzS5cuta1bt1pDDXAJo58X6+xMEWh5pMfn5OS49TVSIWU+6uEdPHhwgeVK+vEKs2uViNwX2vT9JlbWStuu/tHwfLtLKbbH6/HVEf8tW7Lcbe/nrNzlOTnebU1Lq+XeY73l4bc1s1fei7dMAdm/6PW03P+5uPvDl3u3s3Kfp2X+Rcu2bMmxcuW8f/re8qw8j/Efl3+Z/88lz7W+cGz17gxt07Ve3Ltd8OKe5V17Tzbzl/nrynPtv5Z+1j7wzzq8Ddj+v1C+29vvz/3nrfWp9yl3Xfk/3PDXCHt+7nMKuT9sPa5v1v3nbWfefSfv87zHR9qGAjeLF4r+jn+2o0SvVMKnRX6w105RrkHbHenhcek/iNBOadL7CiRMhRyXoRLN73yMRlJrZiMFFa8nLiumx0da7hs4cKAbMBbeOM2aNXNd1/GazUCY6ii+aNdElm+ss5o1K/PlK+7typRn8Ua7JgbtSruWTsExTYkQS0dW0sJsvXr1LDs7u0Av7JIlSwr0vvp23HHHiI8vX7681dXI7ggqVarkLpEaKV49qf666JmNL9o1MWhX2jVI2F9p1yBhf42fWDJV0iYvqlixonXo0MEm6LShYfRz586dIz6nU6dOBR7/wQcfWMeOHSPWywIAACC9JXUmTh3+f+KJJ2z06NFuhoKrr77aFixYkDtvrEoEzjvvvNzHa/n8+fPd8/R4PU+Dv6699tokvgsAAAAkS1JrZnv27GnLli2zIUOGuJMmtG3b1saNG2fNdbpPd+aoRS7c+lq2bOnuV+h9+OGH3UkTHnjgAeaYBQAAyFBJPwNYWWOe2WBggALtGiTsr7RrkLC/0q7plteSfcJPAAAAoMQIswAAAAgswiwAAAACizALAACAwCLMAgAAILAIswAAAAgswiwAAAACizALAACAwCLMAgAAILCSejrbZPBPeKYzS8RrfVpXVlaWuyA+aNfEoF1p1yBhf6Vdg4T9Nb78nBbNiWozLsyuWbPGXTdr1izZmwIAAIBicptOa1uUrFA0kTeNbNu2zf7880+rUaNGXHpS9c1BwXjhwoXFnjsYtGuysb/SrkHC/kq7Bgn7a3wpnirINm7c2MqVK7oqNuN6ZtUgTZs2jft6FWQJs/FHuyYG7Uq7Bgn7K+0aJOyv8VNcj6yPAWAAAAAILMIsAAAAAoswW0qVKlWyW2+91V0jfmjXxKBdadcgYX+lXYOE/TV5Mm4AGAAAANIHPbMAAAAILMIsAAAAAoswCwAAgMAizAIAACCwCLNRGDFihLVs2dIqV65sHTp0sEmTJhX5+IkTJ7rH6fE777yzPfLII/H6vNLC0KFDbb/99nNnYWvQoIGddNJJ9vPPPxf5nE8++cSdsS3/5aeffiqz7U51t912W4H22XHHHYt8Dvtq8Vq0aBFx37v88ssjPp59NbJPP/3Ujj/+eHc2H7XfG2+8ked+jUXWPqz7q1SpYocddpjNmDGj2M/n1VdftTZt2riR5Lp+/fXXLZMU1a5btmyxG264wfbaay+rVq2ae8x5553nzoJZlKeeeiriPr9x40bLFMXtr7169SrQPgceeGCx6830/TVRCLPFGDt2rPXr188GDRpk06ZNs4MPPti6d+9uCxYsiPj4uXPnWo8ePdzj9Pgbb7zRrrzySrcD458ApSDw5Zdf2oQJEywnJ8e6du1q69atK7aJFHoXLVqUe9ltt91o1jB77rlnnvaZPn16oe3DvhqdKVOm5GlT7bNy2mmnsa/GQP++27VrZw899FDE+++++24bNmyYu19tri9iRx99tDudZWG++OIL69mzp5177rn2/fffu+vTTz/dvvrqK8sURbXr+vXr7dtvv7Wbb77ZXb/22ms2e/ZsO+GEE6I6i1X4fq+LOmgyRXH7qxxzzDF52mfcuHFFrpP9NYE0NRcKt//++4f69u2bZ1mrVq1CAwYMiPj466+/3t0f7pJLLgkdeOCBNHMhlixZounhQhMnTiy0jT7++GP3mBUrVtCOhbj11ltD7dq1i7p92FdL5qqrrgrtsssuoW3btkW8n321ePq3/Prrr+f+rLbccccdQ3feeWfuso0bN4Zq1qwZeuSRRwpdz+mnnx465phj8izr1q1b6IwzzghlovztGsnXX3/tHjd//vxCH/Pkk0+6tkfh7Xr++eeHTjzxxJiaiP01ceiZLcLmzZtt6tSprtcwnH6ePHlyod+88j++W7du9s0337hDPiho1apV7rpOnTrFNs++++5rjRo1siOPPNI+/vhjmjOfX375xR0WU1nMGWecYXPmzCm0jdhXS/Y74bnnnrMLLrjAHVZkX40PHSVYvHhxnt+dOgx76KGHFvq7tqh9uKjnZDr9vtW+W6tWrSIft3btWmvevLk1bdrUjjvuOHekEQVLilQqt/vuu9tFF11kS5YsKbKJ2F8ThzBbhKVLl9rWrVutYcOGeZbrZ/3ijUTLIz1eh9K1PuSlL739+/e3gw46yNq2bVto8yjAPvbYY65cQ4fK9thjDxdoVdcEzwEHHGDPPPOMjR8/3h5//HG3L3bu3NmWLVvGvhonqptbuXKlq5djX40f//dpLL9r/efF+pxMpprXAQMG2FlnneXKCArTqlUrVzf71ltv2QsvvODKC7p06eK+LMOjcsMxY8bYRx99ZPfdd58rjTniiCNs06ZNhTYR+2vilE/gutNG/h4YBbCiemUiPT7ScphdccUV9sMPP9hnn31WZHMovOri69Spky1cuNDuvfdeO+SQQ2jK7b9cfRrwoTbaZZdd7Omnn3ZfGNhXS2/UqFGundX7zb6a/N+1JX1OJtKRQR2t2bZtmxvUXBQNZAofzKQg2759e3vwwQftgQceKIOtTX2q1fapI6Zjx46uJ/vdd9+1k08+udDnsb8mBj2zRahXr55lZ2cX+JavQwn5ewN8GrQQ6fHly5e3unXrxuMzSxv//ve/3Td/lQvoUFas9MuWnoLCafSyQm1hbcS+Gpv58+fb//3f/1mfPn1ifCb7anH8WTdi+V3rPy/W52RqkNXAOJVzaABjUb2ykZQrV87NQMPvWyvy6KHCbFFtxP6aOITZIlSsWNFNseWPXvbpZx2+jUS9Yfkf/8EHH7hvbRUqVIjHZxZ46jlRj6zKBXSIRvWdJaEaLv0CQWQ63DVr1qxC24h9NTZPPvmkq4879thjY97l2FeLpt8B+kMf/rtT9cma+aSw37VF7cNFPSdTg6xClr6MlaRTRb+zv/vuO37fFkHlXDpaWNTfJPbXBErg4LK08OKLL4YqVKgQGjVqVGjmzJmhfv36hapVqxaaN2+eu1+zGpx77rm5j58zZ06oatWqoauvvto9Xs/T81955ZUkvovUcumll7qRsp988klo0aJFuZf169fnPiZ/u95///1uNOns2bNDP/74o7tfu++rr76apHeReq655hrXptoHv/zyy9Bxxx0XqlGjBvtqHGzdujW00047hW644YYC97GvRmfNmjWhadOmuYv+7Q4bNszd9kfVayYD/V547bXXQtOnTw+deeaZoUaNGoVWr16duw79TgifSebzzz8PZWdnu+fOmjXLXZcvX97t/5miqHbdsmVL6IQTTgg1bdo09N133+X5fbtp06ZC2/W2224Lvf/++6HffvvNrat3796uXb/66qtQpiiqXXWfft9Onjw5NHfuXDeDSadOnUJNmjRhf00SwmwUHn744VDz5s1DFStWDLVv3z7PFFKanuPQQw/N83gFin333dc9vkWLFqGRI0fG/5MLMP1iiHTRdDCFtetdd93lpkOqXLlyqHbt2qGDDjoo9O677ybpHaSmnj17uj/++vLUuHHj0MknnxyaMWNG7v3sqyU3fvx4t4/+/PPPBe5jX42OP2VZ/ovaz5+eS9PLaYquSpUqhQ455BAXasPpd4L/eN/LL78c2mOPPdx+r2kRM+0LblHtqqBV2O9bPa+wdlWnjb686W9Y/fr1Q127dnXBLZMU1a7qeFGbqG2036mttHzBggV51sH+Wnay9L9E9vwCAAAAiULNLAAAAAKLMAsAAIDAIswCAAAgsAizAAAACCzCLAAAAAKLMAsAAIDAIswCAAAgsAizAAAACCzCLAAAAAKLMAsAZUAnW7z44outTp06lpWVZd99913EZYly2GGHWb9+/awsLFu2zBo0aGDz5s0r1XpOPfVUGzZsWNy2C0B6IswCyBiLFy+2f//737bzzjtbpUqVrFmzZnb88cfbhx9+mPBQ+P7779tTTz1l77zzji1atMjatm0bcVk4bdtRRx0VcX1ffPGFC8DffvutpZqhQ4e6bW/RokWp1nPLLbfYHXfcYatXr47btgFIP4RZABlBvYQdOnSwjz76yO6++26bPn26C5OHH364XX755Ql//d9++80aNWpknTt3th133NHKly8fcVm4Cy+80G3v/PnzC6xv9OjRts8++1j79u0tlWzYsMFGjRplffr0KfW69t57bxeIx4wZE5dtA5CeCLMAMsJll13mejK//vprd/h69913tz333NP69+9vX375pXuMgtPw4cPzPE+B8bbbbnO3e/XqZRMnTrT//e9/bl26KCRv2rTJrrzySndovXLlynbQQQfZlClTcteh56lHeMGCBe45ep1Iy/I77rjj3DrVextu/fr1NnbsWBd2fQrmet1atWpZ3bp13XMVlgtT3HsVlUEo+Ksnu0qVKtauXTt75ZVXimzn9957z4XyTp065S574YUXXLv88ccfucsUdhVWV61aVeT6TjjhBPd8ACgMYRZA2lu+fLkLe+qBrVatWoH7FQCjoRCrkHbRRRe5sgBdVKpw/fXX26uvvmpPP/20O+y/6667Wrdu3dzr+s8bMmSINW3a1D1HQTfSsvwUCs877zwXZhUsfS+//LJt3rzZzj777Nxl69atc8Fc61HZRLly5exf//qXbdu2rYStZnbTTTfZk08+aSNHjrQZM2bY1Vdfbeecc44L9IX59NNPrWPHjnmWnXHGGbbHHnu48gMZPHiwjR8/3gXfmjVrFrkN+++/v/sCoi8MABBJ3mNaAJCGfv31VxcGW7VqVar1KHhVrFjRqlat6soC/BCpsKfA2b17d7fs8ccftwkTJrjD7dddd517Xo0aNSw7Ozv3eRJpWX4XXHCB3XPPPfbJJ5+4kgi/xODkk0+22rVr5z7ulFNOyfM8vbZ6dWfOnFmgFjcael8afKUyB7+XVT20n332mT366KN26KGHRnyeeqobN26cZ5l6nlX7qh5x3acgP2nSJGvSpEmx26HHKMiq3rl58+Yxvw8A6Y8wCyDt+b2aClXxpkP5W7ZssS5duuQuq1ChgutRnDVrVqnXrwCumloFWIVZvZ6C4AcffFBgO26++WZXMrF06dLcHlmVMZQkzCoEb9y40Y4++ug8y9UjvO+++xZZM6uSgvxU9tCmTRvXK6ttV4lHNFTe4JdWAEAkhFkAaW+33XZzQVbh8qSTTir0cTo0H344XxRUSxKUtTxe4Vm1sVdccYU9/PDD7rC/eiiPPPLIPI/R7AEqeVCvsHo/FWYVYhU+S/Je/TD87rvvFuhB1UwQhalXr56tWLGiwHKVFfz000+2detWa9iwYZ77NMBNJSC///672waFXf81/VKN+vXrF/qaADIbNbMA0p7mcVUNq8KgDp/nt3LlytzApPpVn6aEmjt3bp7HqsxAgcyn+lgt0+F3nwLZN998Y61bt47L9p9++umuHOH55593dbm9e/fOE5Q1r6uCumpcFXL1upECZbji3qt6URVa1bOr9xh+UWgujHpt1asbTnXEp512mitP0OegHmSfwvaxxx7r6o41z656ncPD7o8//ujqihWSASASemYBZIQRI0a4w/U6/K+BVxpJn5OT42pbVfOqMHjEEUe42lf1cqoeVaFLITL/LABfffWVqw2tXr26C8qXXnqpq43V7Z122snNAKDD4uGzDZSGXqdnz5524403utH/mgkhnLZVMxg89thjbqovBdABAwYUuc7i3qvqea+99lo36Eu9tJopQYF38uTJbnvOP//8iOtVWB04cKAL01qv2klhVdtz7rnnupC833772dSpU91Uaa+//rodeOCBdsghh7jnqw3DKdx27dq1FK0HIN0RZgFkhJYtW7oeQg1Euuaaa1yvpHonFagUZkUhbM6cOa6+U4O2br/99gI9swp4CnIKZaoP1f133nmnC3wKa2vWrHGj+XVYPXyAVmkpGGtQl4KdAnP+koEXX3zRTQ+m0gLNHPDAAw+4EzwUJpr3qmUaRKZZCPRYzfqgeW0Vqguz1157uff/0ksvud5YDYrT9Fr+c9TeCtCDBg1yM0xovl+F20hUs6uwq7YEgMJkhfIXTQEAUArjxo1zoV8lAgraRXnwwQdt9uzZ7lrlG+p59ntnVRby5ptvFhjsBgDhqJkFAMRVjx497JJLLslzkoTCqGRCMzGoR1k9uppGLXxWCIVcACgKPbMAAAAILHpmAQAAEFiEWQAAAAQWYRYAAACBRZgFAABAYBFmAQAAEFiEWQAAAAQWYRYAAACBRZgFAABAYBFmAQAAEFiEWQAAAAQWYRYAAACBRZgFAACABdX/A3TvilRlvBSLAAAAAElFTkSuQmCC", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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qV66M3r17o2fPnnjttdf8vq8iIiKhoGnTpujfv39Yvi6rKtx3330oVKiQOSO7du1al+u8fa1gtYm3WOeXVTa2b9+e5ee65ZZb8MYbb/hkv8JdWJXm+umnn9C6desU69q0aYMJEyaY0atZLbrrD//8sgd/LN2FAkUTEFcgHjH54xCbEIfYAvHIVygX8uT1TfKziIhkD/v378fTTz+N77//Hvv27UPBggXNWcxnn30W9evXx5dffhmS33d0zz33YNKkSWnW87t61qxZZvnwww+xcOFCkypYpEgRl+u8fY+h3CbOhg8fbtIry5Ytm+XneuaZZ9CsWTPTsZc/f35EsuhwK4JdrFixFOt4m/XJDhw4gOLFi6d5zNmzZ81iO3bsmLnkL0Eu/vbZc39h0HdN3d5/Rcx21Cr6D66ucBS1aufA1c0KoHDjKkC+fH7ft3Bkf26B+OyyO7Wl2jO7Hp/2Y8L1/4qbb77ZdNAwwGNwx4B23rx5pleP74fBLWX2vWWlTTxp0+uvvx4TJ05MsS42NtY8bvPmzea7mkG5zdU6b99jVtskKzx9zdOnT5vOt++++84n+1mtWjUTFH/yySd44IEHEI5S/606t4s3bRRWwayrMg72m3VX3oG/gp577rk0648ePRqQgz42/jwuj96BxKRonHXEWAticRZx5v5NiWWx6e+ymPI3gIUAXgfqRq3E8IZf49oHrsL5li1ZiM3v+xku+JmdOHHCXFfZHbVlKNGxGTrtmZiYaGYXYu3KrNavDDRO9rB06VITvDZp0sSsu+yyy8zAZ+L7adGihemptU8xHz9+HA8++CBmzJhheugeffRRfPPNNym24WOqVq2K+Ph4E2iyvidP7bN3zzZ79my89NJLWL9+vZkprF69eubx5cuXN/fbwUZ6bcp253OzGH5q3bt3x8cff5w8jWmZMmXMe0y9jsFt6vfI53399ddNMLhr1y7TkXXvvfdi8ODBye/P3p77yG3Hjh1rZpe64oorMGTIEPMjwcbtGQxyMLm79nD3mvw8HnvsMZMqwPa0denSxdQ25o8QVxjERkdH45prrknThu+//z7GjBmDLVu2mH2pVasW5s6di4zceOON+Oyzz8y+hyO2A9uZxzD/bp3/3u3Ox2wXzF566aWmdzb16RgeHO5meeGBPnDgwOTbbBxOm5aQkBCQbvmHpzTH3UePmtdL/g/53Dk4ThzGwU2HsOaHg1i9PBFrNsZj1e5LseV0Sax01EXLpXVxy9KpGJHQGmVvqwfcdRfQoAE/ZUQy+wdIivYUtWUI0LEZOu155swZ04vJgIzLf08InDqFoODkDR6+B77fvHnzmsC0QYMGpkczNbYHF/u9Pf744yYNb/r06SbgGjp0qBkkXbNmzeRtuD178AYMGIDly5eb7Xv06IFGjRqhVatWyT2H/L5kkMcB2nyeW2+91TwXA83Ur+uKvZ2rbd5++21UqFAB48aNw4oVK8w2DNxSr7On3HV+Hg74Hj9+vAlWuc8MUv/4448U78/enoHrV199hdGjR5tAlpWTGEizba677rrk7RlEp9ce7l6za9eu5nEMTnmdeHaYt5ka4q59+COlTp06ae7nIHbuMwNa/oBgYMdAOb12tl177bV45ZVXzBlqV8dKqON75DGTL18+cxbd+e/dq797R4jgrnz11VfpbjNo0CBH5cqVU6zr06ePo169eh6/ztGjR81r8TIQkpKSHIcPHzaXnti7J8nR55b9jhxRFxz8dGJx2vEUXnAcRx6Ho0kTh2PTJkck87Y9RW0ZKDo2Q6c9T58+7diwYYO5THbiBL9ogrPwtb0wbdo0R8GCBR1xcXGOBg0aOAYPHuz49ddfk++/7rrrHP369TPXjx075siVK5dj6tSpyfcfOXLEkTt37uRt7Mc0bNgwRXvWrVvX8cQTT7jdj/3795vvy3Xr1qV5XXe6d+/uyJkzpyNPnjwplmHDhpn733zzTUeZMmVSPMbVutTvMTY21jFu3Di3r2tvf+LECdNuy5YtS3F/r169HLfffnuK7Rs1apRiG+f2yOg1GXtcf/31ye05cuRIx+WXX57u8dqxY0dHz54906x/6aWXHNWqVTPHe2o7d+50dOrUyVGrVi1H+fLlHffee2+K+3lcAHBs377dEY7sv9VTp06l+Xv3Jl4LajUDnkLiqEUuduktXt+5c2dyr2q3bt2St+/Tpw927Nhhfjlu3LjRnBpg9z+7+7OLYpdGYczUS7BmbQ40b+Yw6QgvYQgqRm3CrMXxQPXqwMiR7JsP9q6KiIgf8HQ456tn7ywHTnFgFE87uzp9vXXrVpNfy1PXNvZuVapUKc227HF1xjxVnt208RT3HXfcYfJ0eeayXLlyZr39newpDkqyv9vt5aGHHkJm8fuevXZMDcjIhg0bTM88e1fZw20vH330kXl/zqrz+9RNe2T0mkw3YBrAP//8Y25/8MEHZvBber2J7PlmWoOr52IPJas5cF+d9/O2224zsc+qVauwadOmNBUb7DSHU8E66xAigppm8Msvv5iD3manA/B0AP9o2aXv/EfEP6yZM2ea7v1Ro0aZyRZ42sI5Dya74N/YD/OiMH06wFh9y5bi6JRjBmadbo2mAwYAU6cCTLB38R+WiIi4ONX/Xw5uUF7bSwx6GJBxYR4nR6zztD8DJk/GjbgaE5J6tD8fw3xFG0fZMw2Pp/z5/cr7mGdr5zJ6Kk+ePCZ1wFec81IzYr8fnvIvWbJkivtSn4ZPrz0yes2rr77aBMMMkjngbd26dSZPOT2s0nD48OEU6/hDhAFr3bp1TbsXKFDA/JggBuUrV65Ew4YNk/evSpUqKR5/6NAhc+kqRzmSBDWYZV249AZhufoVynyX1atXIxLw/6ZOnViPl7/OgK+/jkGHuDlYmKMFai1bCtSsCQwbBjz6KBOVgr27IiKh/R9qnjwIVwxiXM2SycFZDMqYb8pA1B4bwl48Oz/UE8wxZm8k8zY5MZGd4xkKmPfK4JKD4hjUZ9RODFrZEebN+8/Ma7LOPTvU2IvesmXL5PZPLwBm3rIz5vZywNsPP/zg8gcN86avvPJKU4+/V69eZpCbs99//90MSGOgHMkUAYUB/pj87DMG/8DxMzG4Pn4h/mrciz/bgEGDgIcftjKzREQkrDGobN68uQl6fvvtN5N+N3XqVIwYMQIdO3ZMsz0HzvBsJgeBLViwwFQiYJBlD8TyFEtbcSA1KwAwuJo/f36KwdPe4Ol5DtZ2XjhAKrMY1D3xxBMYNGhQcroAB20xzdBVezD1kGdwWe+W23IAG8/muqp/m5XXZEoG0wzYo8o2zwhTRvj5OPfOstebZ6E5GI2Dvhic8gcFe2yJnwNfnz3GLF1mp2XalixZkqb+fiQKq2oGkYxpNkw5YFbG6tU50WrHOCx7uSlKDu4GjBnDUg+soBzs3RQRkSxgziRHqL/55psmgGJQwx4/5lVydL0rHG3PvEqWaWKuKwMwlpJylZ/pDoPfyZMnmynimVrAnFv2OvIMqrc4CULquu98PlYCyCxOIsHKRUy5YE8on5/v2ZXnn3/ezLLF0pzMKeape+Ycu2u/zL4m25ppjkxp6MTTqBlgzjKrGXz++ee4//77zTqmGDDY5r6xnjDzZpmna9/Pz4U/brj8+eefJieYVSrsNAT27M6ePdur95UtOSJMqFczyMi+fQ5HxYrWANkqVRyOg69OuDhidswYR3anEeNqy1ClYzPEqxlEEI7oT0hIcIwfPz55Hdvx3LlzqgTjI3Z7tmzZ0vHII494/LjvvvvOVGW6cOFChtvOmjXLkZiYaK5v2bLFVHxwrlrw7rvvOlq1auUIZ76qZqCe2TBTtCgwZw7AfPANG4B203pi3pO7keflp4EHH2QWOIfCBns3RUQkQNizx15PVjTghEDDOJYCcJmWIL7BgVfsgWYawLvvvuvx49q1a2fymZmekFGOLXtwORkGUyc4GQNTHDiphI250u+8806W3kd2oWA2DPFYZkDLHP2ffwaebTQEr97/N6cQYRIPp3GxEmxFRCQivPbaa+Y0NCch4GxhzKWM9EFB/sQ2Zu7ryy+/7LIMWnr69evn0XaucoKdheusX/6gYDZMsToHZwC84QbgrbejcN9vo3DFv/8CX37Jn+PAokVWtQMREcnWOEqedUglcDgwj1OxejJLl/ifqhmEsXbtrIWDHh8dlBP49FPWLmNdFqueVxZGj4qIiIiEAwWzYe6NN4DoaIC1mmcv+q/kAbtt9+7lLBTB3j0RERERv1IwG+aYqtO3r3Wds9ydy51gzQzG+oLMQ1DJDhEREcnGFMxmA08/bRUxYAm/0aMBXHvtxQiXteqCNYWjiIiIiJ8pmM0GChQAXnzRuj50KMBxYHjhBaB0aWDHDk2mICIiItmWgtlsgjPpXX01cPSo1VOLvHmB996z7nzrLWDFimDvooiIiIjPKZjNJlgdhDErjR0LmOmbWdHgzjuBpCSgd2+r7IGIiIhINqJgNhvhJApdu1pz23IwGC/x5ptA4cLAunXAq68GexdFREREfErBbDYzYgQQF2fNmbB0KayRYSNHWndyisM//wz2LoqIiIj4jILZbIZjvu6+27r+9tv/rWSqQZs2wNmzwCOPBHP3RERERHxKwWw2ZMerX30F7NoFq+Ysa3ZxdoW5c4Hly4O9iyIiEkRNmzZFf+ajZTO+eF8OhwP33XcfChUqhKioKKxdu9bluhYtWnj8WuHU3gcPHkTRokWxffv2LD/XLbfcgjc4u5OfKZjNhqpVA5o1Ay5cAMaM+W/l5ZcDd91lXbfreImISMi55557TMBkL4ULF8b111+P3377Ldi7lu3a1l7YvrZZs2bhww8/xLfffos9e/agatWqLtdNnToVzz//vEev++WXX3q8bbANHz4c7du3R9myZbP8XM888wxefPFFHDt2DP6kYDab986yssHp0/+tHDzY6qX99lvg11+DuXsiIpIOBlcMmrjMmzcP0dHRuPHGG0O6zRITExFubWsvn332WfL9W7ZsQfHixdGgQQNceumlpu1drWMvbb58+Tx6TW+2DabTp09jwoQJ6M0KSD5QvXp1ExR/+umn8CcFs9lU+/ZAmTI8XQBMnvzfyooVgS5drOsvvRTM3RMRkXTExsaaoIlLzZo18cQTT2DXrl3418yKY/UeNmrUCAUKFDA9twx0GXA5S0pKwiuvvIIKFSogLi4Ol19+ueklc4XPl5CQgI8++sjcPn78OO68807kyZPHBHFvvvlmmlPlvP3www9j4MCBKFKkCFq1amXWnz17Fn379jWnqvm63M+VK1cmP47BzUh7YPJ/+B6fffbZFM/N5xg0aJAJBNkOzvfTyZMn0a1bN+TNm9fs4+uvv+5129pLwYIFk3tuH3nkEezcudP02HJfXa0j5zQD57bm85cuXTpFW6duO6YtjBgxwnwm8fHxqFGjBqZNm5ZiPzNqg/Re86OPPjLHBT8LZzfffLNpM3e+//57E6jXr18/xfr33nsP1apVM/vK46R58+bwVIcOHVL8WPAHBbPZFNNjH3ro4kAwU6aLnnrKupw61Zr/VkQkAvD/wJMng7Mk//+bSSdOnDA9WwxaGKDYgRyDSAaJ7LnNkSMHOnfubAIc2+DBg02w8/TTT2P9+vUmwClWrFia5588eTK6dOli7rcDHT73jz/+iBkzZmDu3LlYsmQJVq9eneaxkyZNMsEPt33//ffNOgZfX3zxhbmPj+F+t2nTBocOHfLqffPxDKZ//vlnE/gNGzbM7Ivt8ccfx4IFC/DVV19hzpw5WLhwIVatWoWseOutt8zrXHbZZabHlu3ral1qzm29YcMG/O9//3PZ1rb/+7//wwcffIAxY8aYz2bAgAG46667sIiliDxsg/Re89Zbb8WFCxfM52c7cOCASZPo0aOH2/1avHgx6tSpk2IdP8snn3zSvM6ff/6JZcuW4dFHH/W4Ta+55hqsWLEiTWDtU44Ic/ToUf63Yi4DISkpyXH48GFzGWgHDzoc8fH8b9ThWLzY6Y4OHayV3bs7wk0w2zO7UVuqPbPr8Xn69GnHhg0bzKXtxAnrv71gLHxtb3Tv3t2RM2dOR548eczC76zixYs7Vq1a5fYx+/fvN9utW7fO3D527JgjNjbWMW7cuOT2PHfuXHJ7XnfddY5+/fo5Ro0a5UhISHDMnz8/+bn42Fy5cjmmTp2avO7IkSOO3Llzm8fY+Bw1a9ZMsR8nTpwwj/3000+T1yUmJjpKlCjhGDFihLldpkwZx5tvvpnicTVq1HAMHTo0xXM3atQoxTZ169Z1PPHEE+b68ePHHTExMY7Jkycn33/w4EFHfHx8in3MqG3tZdiwYcnbcN+4j85Sr2M7NmnSxNG3b980be2K3d52G8XFxTmWLVuWYptevXo5br/9do/awJPXfOCBBxxt27ZNvj1y5EjH5Zdfnu7fVMeOHR09e/ZMse6ll15yVKtWzfw9uvLaa685SpYsaT7DsmXLmjZx9uuvv5pjc/v27W7/Vk+dOpXm792beE09s9lYoUIXx3wll+miIUOsy08+AbZtC8q+iYiIe82aNTMj5rmwV65169Zo27YtduzYYe5nSsEdd9xhTlPnz58f5cqVM+t5Kpw2btxoesJ4Ktwd9rjx1Dd7Nfl6tq1bt+LcuXOmR83GU8uVKlVK8xype/G4X3xsw4YNk9flypXLPBf3ydt8S2dMJdi/f3/y6zBH1/l0OE/Fu9rH9NrWXh6yT2Vmgidt7Yy9qGfOnDFpGUyRsBf2jKdOFXHXBp685r333ms+23/++cfcZk+wPQAuvZxZpoakfp6cOXOa9uV+pt7H33//HaNGjTLtyOtjx441z2NjagKdOnUK/hLtt2eWkBkINm7cxTJdpUqZPn+AuU08VcFZFpJLHoiIZE+5c/N0ffBe21s8tczT87batWubgHLcuHF44YUXzGjzUqVKmdslSpQw6QUcYW8PwrIDiPQwT5VpAAxy6tatmxzkMJ+TUgc99vrU++lqG1ePtdcxJSL1czEATo1BsDM+3k6jcLUvmW3brPKkrZ3Z7+G7775DyZIlU9zH3FdP2sCT17z66qtNLi6DZKZ5rFu3Dt988026j2Hu8+HDh1N8Lrfddps5PnisMUebP6CcMYC1c3nXrFmDK6+8MsX+2ekll3ASJz9Rz2wkluly7p2dOBHYvTtYuyciEhCMoxh3BWNJpyPMi/2PMkEge7xYB5Q9c8y7ZM9c5cqVUwQgdMUVV5iAgvm07pQvX97knE6fPt0McHJezyCKeY42llbatGlThvvJIDEmJgZLzRSUFwOiX375xeynHdQw99T5ubd5eZaQr8N9XO5UN51t8NdffyHQPGlrZ1WqVDFBK3vR+T6cF/5A8eVr9u7d2/xYmThxIlq2bJnh8zMAZs+xjfnImzdvNr2t7IXnPjr/UOGPCrZ5x44dUbFiRTPAjCXLUge7zDdmoOwv6pmNAPw/asECq0zX00/zVySAJk2ARo2sOW9few0IQFFjERHxDE8h7927NzlIe/fdd81AMPbIcuQ9B4IxwOBpZwZFHKDjjKeKWQGBg7EYXLKkFJ/vjz/+SFF2iQEIA1qOnOdALlYZYAmp7t27mwFWPLXMqgRDhw41wXR6p6jtXs8HHngg+bEcYc+BSzzF3KtXL7MNR8KzZqv9XjiwiKexvcHT3Xw+vg7bggOfhgwZYvbRm7a18b1nNthK3dZMsWDVCQ7sst+zM7bvY489ZgZ9sZeV1R4Y0HNgFd8X295Xr3nnnXea12Kvql2pIj3sweXAMh5z/GzY088fHh9//DEaN25sjkEO9uvZs6f5McGUFP5IsX9UPPfcc2bA3DvvvJP8nBw8yDQZf1IwG0FluphqxTJdZiAj/0Ni72zbtgBHoLIGrR9PAYiIiOdYKouBqh388NQte7wYdNoVCFi2iakFzBN9++23k++zMUhkkMbC9bt37zbPd//996d5LT5+/vz55vEMKlniirM29enTx5T8Yk4ugyaWBkudT+nKyy+/bIK0u+++25T4Yo/e7Nmzk8tfMVhiEMTnZuoEJxPwtmeWXn31VRNcsfQT24gj7I8ePepV2zq3AQP9zHLV1mw/d/ie+SOBExSwLXj6vlatWnjKrjjko9fMnz+/6S1lSkOnTp0yfE6W3+Ln9fnnn5tjhSkGTB3gfu3bt8/8QOHZAPs4Yq+rc54yj8cpU6Yk32ZuMHt3+fn7UxRHgSGC8NcP/3h4wPND9jc2L1+Lr5nRL1p/evVVlksB6tYFks8c8aPnCpYyYb7L0KEIdaHSntmB2lLtmV2PT36BMjjioChPgq9IaU+WamKwmpn/O1kKjPmdDHRd9TZGmqy2ZyC1atXK9J7yB48nZs6caXpzGahm1NPNurZ8/wx2z58/j9tvv92kM9jBLgeGMY2FA9HS+1tl7V72mDv/vXsTrylnNkLwrAWPSZbHSx6IyANm4EDr+oQJVmKtiIhEPPbGsdA9R65zkBhPVxNzIyU8HDp0yPTgs9fdm2oN7dq1M8GoXQUhPUxr4IQKzLVlxQqeQbjvvvuS72cqgnPKgb8ozSBCFC3K2UqsAgY8A5B8JuOmmwCe+mGpA97pND+1iIhErtdee80UyWdOJqspMPfRn4N4xLdq1aplcl85sYInJcuc9evXz6PtOFFDepwDW39SMBtBbrvNileZN5sczPIU3N13W4VoWcNLwayISMRjT1tWZ9OS4Nq+fXvEfARKM4ggnTuzyx9Yt46nBpzuuPde65LT3u3bF6zdExEREfGagtkIwmwCu+PVabAhhx8C9eoB588DH34YrN0TERER8ZqC2QhMNSCmGqSoY2H3zo4fn+oOERERkdClYDYCa84yTZYTuaxd63RHly4sZghs3gwsWhTEPRQRERHxnILZCMN49cYbL/bOJsubF7j9dus6B4KJiIQ5Fu4XkdDlq6kOVM0gQlMNpk2zgtmXX3aaN5ypBpzz9osvANaFK1QoyHsqIuI9lpJisXfOinTJJZeY26Fe2N7fwqnIfzhQe/qmDTkFL49H1qPlpAmZpWA2ArVrZ3XE7twJcDrl+vX/u6N2baBmTSv/4OOPWWguyHsqIuI9BrKc/YtzyjOglYs91RnN6CSeU3tmHQPZyy67zPzIygoFsxEoPh7gFM2ffGL1ziYHs/y1zt5ZzhTCVIO+fZ26bUVEwgd7Y0uXLm2m2GSPZKRjL9jx48eRL18+9cyqPUMGe2QZyGY13UDBbASnGjCY/fxz4I03gOQfRZyy8LHHrEK0P/9slewSEQlD9ulLLpGOwQJP48bFxSmYVXtmOzrfEKFatbLqzu7dCyxe7HRHQoJV2YA0EExERERCnILZCBUTA9x0k4sJFKh3b+uSOQjHjgV830REREQ8pWA2gtkTKLCywblzTnc0bAhUqgScOgV8802wdk9EREQkQwpmI1jTpkDRosDBg8APPzjdwUFfdqrB1KnB2j0RERGRDCmYjWDR0cAtt1jXv/oq1Z32HbNmAcePB3zfRERERDyhYDbCdehgXX77LWvmOd1RrRpQsSLAIsa8U0RERCQEKZiNcEw14AQKe/YAq1enSjW49VbrulINREREJEQpmI1wsbFA69bW9TRjvexg9vvvgRMnAr5vIiIiIhlRMCto395qhDTZBNWrAxUqAGfOAN99p5YSERGRkKNgVtCunZVVwDSDf/5xahClGoiIiEiIUzArpjzXtde66Z21Uw1mzgROnlRriYiISEhRMCspUg3S5M3WrAmULw+cPq1UAxEREQk5CmYlRTA7b5418VeKVAO75qyqGoiIiEiIUTArRtWqQJky1livFLOBkVINREREJEQpmJXkDtgbb3STN1urFlCunNVlyzJdIiIiIiFCway4LNGVYjYwVTUQERGREKVgVjKeDYzsvFlGuimSakVERESCR8GseDYbWJ06QNmyViA7a5ZaTUREREKCglnxrESXqhqIiIhICAp6MDt69GiUK1cOcXFxqF27NpYsWZLu9p9++ilq1KiB3Llzo3jx4ujRowcOHjwYsP2NlNnA1qwB/v7bTaoBp7Y9ezYYuyciIiISOsHslClT0L9/fwwZMgRr1qxB48aN0bZtW+zcudPl9kuXLkW3bt3Qq1cvrF+/HlOnTsXKlSvRu3fvgO97RM4GVrcuULw4cPw4sGhRMHZPREREJHSC2TfeeMMEpgxGK1eujJEjR6JUqVIYM2aMy+2XL1+OsmXLom/fvqY3t1GjRrj//vvxyy+/BHzfI6WqQQo5clys3zVjRsD3S0RERCRkgtnExESsWrUKre0RR//h7WXLlrl8TIMGDfD3339j5syZcDgc2LdvH6ZNm4YbbrghQHsdebOBnTyZ6s4OHS4Gsw5HwPdNRERExFk0guTAgQO4cOECihUrlmI9b+/du9dtMMuc2a5du+LMmTM4f/48OnTogHfeecft65w9e9YstmPHjplLBsNc/M1+nUC8lq9cdRVQujSwc2cUFi50mDzaZM2bA/HxiNq1C45ffwVq1AjovoVje4YqtaXaM5Tp+FR7hjIdn/5vT2++54MWzNqiONrICXc+9Trbhg0bTIrBM888gzZt2mDPnj14/PHH0adPH0yYMMHlY4YPH47nnnsuzfqjR48GLJg9ceKEue7ufYWiZs3iMWlSLL79NhENG55OcV+eZs2Qa+ZMnJk6FWdZriuAwrU9Q5HaUu0ZynR8qj1DmY5P/7en3fkY0sFskSJFkDNnzjS9sPv370/TW+scmDZs2NAEsFS9enXkyZPHDBx74YUXTHWD1AYPHoyBAwcm32bjMC83ISEB+fPnh7/ZATNfL5yCL6bGTpoELFwYg4SEmJR33nQTMHMm4ubMQdwLLwR0v8K1PUOR2lLtGcp0fKo9Q5mOT/+3pzff8UELZmNiYkwprrlz56Jz587J63m7Y8eOLh9z6tQpREen3GUGxOSulzU2NtYsqbGRAhUM2a8VTsFXixbWeK8//ojCrl1W2kGKSJfvhwPvdu8GSpYM6L6FY3uGKrWl2jOU6fhUe4YyHZ/+bU9vvuODWs2APabjx4/HxIkTsXHjRgwYMMCU5WLagN2rylJctvbt2+PLL7801Q62bt2KH3/80aQdXHPNNShRokQQ30n2U7DgxRJdc+akupM95/XquSl5ICIiIhI4QQ1mOZCL5biGDRuGmjVrYvHixaZSQZkyZcz9zIl1rjl7zz33mHJe7777LqpWrYpbb70VlSpVMgGu+J5daCJNMJu6qoGIiIhIkEQ5ImxYOHNmmZPBAWCBypnla4VjjicrpDVsaPXS/vsvUzqc7tywwSp7wBQOzsCWJ09A9imc2zPUqC3VnqFMx6faM5Tp+PR/e3oTrwV9OlsJXddcw2Rs4PBhIM28FJUrA5dfbk1rO3dukPZQREREIp2CWXGLY+04EMxlqgF/OSnVQERERIJMwax4lDc7e7aLO+1gloPALlxQS4qIiEjAKZgVj4LZ5cs50USqOxs1AgoUsBJqf/5ZLSkiIiIBp2BW0lWuHHDFFVbH64IFqe7MlQvJc92qqoGIiIgEgYJZ8U2qgYJZERERCQIFs5KhNm3SqTd7/fXWSLGNG4HNm9WaIiIiElAKZiVDTZta8erWrcCWLanuZO0ubkDqnRUREZEAUzArGcqXz5o8wW2qwY03Wpfff6/WFBERkYBSMCtZn9q2bVvrcvFi4ORJtaiIiIgEjIJZ8SqYnT8fOHcu1Z0sd8CyB4mJLkoeiIiIiPiPglnxSK1aQOHCwPHjVs3ZNLOBcSAYzZqlFhUREZGAUTArnh0oOYBWrTKoakAKZkVERCSAFMyKb+rNNmtmTaLAcgcq0SUiIiIBomBWvA5mf/kFOHzYRcmDxo2t66pqICIiIgGiYFY8VrIkUKkS4HAACxe62ECpBiIiIhJgCmbFKy1aWJfz5qUTzLKiwZkzalkRERHxOwWz4rtgtmpVq/v29Gmr5qyIiIiInymYFa9w5lpW4vrjD+Cff1LdqRJdIiIiEmAKZsUrhQpZNWftCRTSUN6siIiIBJCCWcl0qsEPP7i4s2VLIGdOYONGYMcOta6IiIj4lYJZ8RrjVTtvlpUNUihQAKhXz7quCRRERETEzxTMitcaNgRiYqyc2b/+crGBUg1EREQkQBTMitdy5wYaNEinqkHbthfvTExUC4uIiIjfKJgV35fouvpq4JJLgOPHgWXL1MIiIiLiNwpmJUvBLOdHuHAh9VGVA2jTxrquvFkRERHxIwWzkil16wL58gGHDwNr17rYQHmzIiIiEgAKZiVToqOtCRTcluhq3dqaROHXX4Hdu9XKIiIi4hcKZsU/ebPMma1Tx7o+Z45aWURERPxCwaxkOZhduhQ4e9bFBsqbFRERET9TMCuZdtVVQLFiwOnTwE8/pZM3y57ZNKPERERERLJOwaxkGlNimzdPJ9Xg2muBhARrlNgvv6ilRURExOcUzIr/8mY5Ssye+1YlukRERMQPFMxKltix6ooVwLFj6aQazJ6tlhYRERGfUzArWVKmDFC+vJUSu2hROoPAfv7ZSjcQERER8SEFs+LfVINSpYAqVYCkJDcFaUVEREQyT8Gs+CyYnT/fzQaaDUxERET8RMGsZFmzZtblunXA/v0Z1Jt1ONTiIiIi4jMKZiXLONlX9erW9QULXGzQpAkQH29Na7t+vVpcREREfEbBrPiEXW/WZapBXBxw3XXWdZXoEhERER9SMCv+HwRGKtElIiIifqBgVnyCmQQ5cwJbtgA7dqQTzC5eDJw8qVYXERERn1AwKz6RPz9Qt246qQYVK1pFaRMT3RSkFREREfGeglkJTN5sVJRKdImIiIjPKZgVv9SbdVmBy7lEl4iIiIgPKJgVn6lfH4iNtSpw/fmnm67b6Ghg0yZg61a1vIiIiGSZglnxGZaSbdgwnVSDhASgQQPr+uzZankRERHJMgWz4pe8WbcluuxUAwWzIiIi4gMKZsUvwSxnAktKSqdEF6Pdc+fU+iIiIpIlCmbFp1ieK18+4PBhYO1aFxvUrGnNf3viBPDTT2p9ERERyRIFs+JTHN/FCRTc5s3myAG0amVdnzNHrS8iIiJZomBW/Fqiy6XWra1LBbMiIiKSRQpmxW95s5y5lhN+pWH3zP7yC3DwoD4BERERyTQFs+Jz1aoBRYoAJ08CK1e62KBECaBqVWtmBbdlD0REREQypmBWfI5psc2aWdfdxqpKNRAREREfUDArwc+bdTn3rYiIiEjGFMyKX/NmWX3r1CkXGzRubM19u2uXm7lvRURERDKmYFb8okIFoFQpawDY0qUuNsid2wpoSVUNREREJJMUzIpfREVd7J11m2qgqW1FREQk3IPZ0aNHo1y5coiLi0Pt2rWxZMmSdLc/e/YshgwZgjJlyiA2Nhbly5fHxIkTA7a/4oe82YUL+cGqaUVERMRr0QiiKVOmoH///iagbdiwId5//320bdsWGzZsQOnSpV0+pkuXLti3bx8mTJiAChUqYP/+/Th//nzA910yZvfMrloFHDkCFCjgooZXsWLAvn3AsmUXSyCIiIiIhEPP7BtvvIFevXqhd+/eqFy5MkaOHIlSpUphzJgxLrefNWsWFi1ahJkzZ6Jly5YoW7YsrrnmGjRo0CDg+y4ZK1kSqFQJSEqyOl9d5iKoRJeIiIiEYzCbmJiIVatWobUdzPyHt5exl86FGTNmoE6dOhgxYgRKliyJihUr4rHHHsPp06cDtNfiLU1tKyIiItkyzeDAgQO4cOECivE0sxPe3rt3r8vHbN26FUuXLjX5tV999ZV5jgcffBCHDh1ymzfLHFsutmPHjplLh8NhFn+zXycQrxWKmDkwenQU5s1jG7jYoEULRPFy9Wo49u8HLrkk3eeL9Pb0JbWl2jOU6fhUe4YyHZ/+b09vvueDmjNLUTzV7IQ7n3qdLSkpydz36aefIiEhITlV4ZZbbsGoUaMQHx+f5jHDhw/Hc889l2b90aNHAxbMnjhxwlx3976ys9q1oxAVlR8bNkThr7+OolixVG0eH498Vasi5++/49SMGTh3yy3pPl+kt6cvqS3VnqFMx6faM5Tp+PR/e9qdjyEdzBYpUgQ5c+ZM0wvLAV2pe2ttxYsXN+kFdiBLzLVlI/z999+44oor0jxm8ODBGDhwYPJtNg7zcvkc+fPnh7/ZATNfLxKDL35UV19tOl7xyy/5cccdLja6/nrg99+R+8cfgV690n2+SG9PX1Jbqj1DmY5PtWco0/Hp//b05js+aMFsTEyMKcU1d+5cdO7cOXk9b3fs2NHlY1jxYOrUqSZ6z5s3r1n3119/IUeOHLjssstcPoblu7ikxkYKVDBkv1akBl+sasBgdv78KNx5p5t6s6+9hih78oQM2inS29OX1JZqz1Cm41PtGcp0fPq3Pb35jg9qNQP2mI4fP97ku27cuBEDBgzAzp070adPn+Re1W7duiVvf8cdd6Bw4cLo0aOHKd+1ePFiPP744+jZs6fLFAMJk0FgjRqZdAPs3g1s2BDIXRMREZEwl6lg9p577jGBZFZ17drVlOMaNmwYatasaZ6TZbc4IQLt2bPHBLc29say5/bIkSOmqsGdd96J9u3b4+23387yvoj/MFaNjga2b+cgPhcbxMUB111nXZ89Wx+FiIiI+DfN4Pjx46aEFnNP2UvavXt3k8uaGaxGwMWVDz/8MM26K6+80gS0Ej6YEVKvHrB0qdU7e/nlLjZiibZZs6xg1inHWURERMTnPbNffPEF/vnnHzz88MMmh5WTF3DmrmnTpuHcuXOZeUqJkFSDefPcbMC8WWKPv+oGi4iIiL9zZpm72q9fP6xZswYrVqwwU8vefffdKFGihMl93bRpU2afWrLx1LbsmXVZEa1yZaBUKeDMGWDRokDvnoiIiISpLA8AY17rnDlzzMJSW+3atcP69etRpUoVvPnmm77ZSwl7TDPInZul14D1611swFGLLNFFTDcQERER8Vcwy1QCphrceOONZrAWUw3YG8vAdtKkSSaw/fjjj83ALhGKiQEaN/Yw1UCDwERERMSfA8A4eQFn47r99ttNigErEaTWpk0bFChQIDNPL9k41YBxKoPZfv3cJNbmzAn88YdV+qBs2SDspYiIiGT7nlmmD+zevdtMIesqkKWCBQti27ZtWd0/yYaDwJgSe/68iw3446d+feu6emdFRETEX8Fshw4dcOrUqTTrDx065NVcuhJZ+LunYEFOKQysWuVmI6UaiIiIiL+D2dtuuw2TJ09Os/7zzz8394m4wgyCpk0zmA3MHgT2ww9MzlZDioiIiO+D2Z9//hnNmjVLs75p06bmPpFM15utVQsoUoQzcwA//aSGFBEREd8Hs2fPnsV5F0mPrHJwWgXvxYN6s5wNzOWhkiOHUg1ERETEv8Fs3bp1MXbs2DTr33vvPdSuXTszTykR4sorAc58fPasFdCmmzererMiIiLij9JcL774Ilq2bIlff/0VLf47bzxv3jysXLnS1JgVcYdzI7RuDXzwATB3LtCqlYuNuAGtXg3s2wcUK6YGFREREd/1zDZs2BA//fQTSpUqZQZ9ffPNN2Y6299++w2N7cr4Im7YAazb3z0MXpk7m+5GIiIiIpnsmSXWl/3000/VhpLpQWC//ppOxyurGrBnlvVm775brSwiIiK+DWY5A9jmzZuxf/9+c91ZkyZNMvu0EgGKFgWuvhpYs8aqwHXnnW7yZl96yQpmeXxxYJiIiIiIL4LZ5cuX44477sCOHTvgcDhS3BcVFYULFy5k5mklwlINGMwyb9ZlMMuZwPLlAw4csHpo69QJwl6KiIhIqMtUd1efPn1Qp04d/P7772bWr8OHDycvvC3iad4sg9lUv4csuXIBLVta1zW1rYiIiPgymN20aRNeeuklVK5cGQUKFEBCQkKKRSQjjRoBcXHA7t3Ahg1uNlKJLhEREfFHMHvttdeafFmRzGIga6dWs3c23WCWM4EdParGFhEREd/kzD7yyCN49NFHsXfvXlSrVg25eErYSfXq1TPztBKBqQasvMWlf38XG5Qta82y8Mcf1kixm28Owl6KiIhItgtmb/4vqOjZs2eKgV8cDKYBYOIpzo3w+OPAokXWjGCxsW5KdDGYZd6sglkRERHxRTC7bdu2zDxMJIVq1awas6w1y0yCpk3dBLMjR1pT27ocKSYiIiKRLFPBbJkyZXy/JxKRU9uyYAHn3mCqgctglom1TLDdtQvYuBGoXDkIeyoiIiKhKtOV6D/++GMzrW2JEiVMvVkaOXIkpk+f7sv9kwhINUh3EFh8PHDdddZ19s6KiIiIZDWYHTNmDAYOHIh27drhyJEjyZMksEwXA1oRT9mlZFetAg4edLMRUw1IwayIiIj4Iph95513MG7cOAwZMgQ5c+ZMXs+JFNatW5eZp5QIVaIEcNVVVjrsvHkZBLMcKXbyZCB3T0RERLJjMMsBYFdffXWa9bGxsTipYEN8nWpQqRITtYHERCugFREREclKMFuuXDmsXbs2zfrvv/8eVapUycxTSgSzp7blIDCXBQs4UkypBiIiIuKrYPbxxx/HQw89hClTppjasitWrMCLL76Ip556ytwn4g0WLIiJAXbu5FTJbjayg1nWmxURERHJSmmuHj164Pz58xg0aBBOnTqFO+64AyVLlsRbb72F2267LTNPKREsTx6gYUNgwQIr1aBiRRcbNW8OREcjatMm5Ni+HahRIwh7KiIiItmmNNe9995rSnLt37/fTGu7a9cu9OrVy7d7JxGXN+u2YEH+/FbEy19gbkeKiYiISKTJdDBrK1KkCIoWLeqbvZGI1batdTl/PnDmTPqpBrkUzIqIiIi3aQa1atXCvHnzULBgQVPJIIqDctxYvXq1p08rYlSvbpXp2r3bKljQpo2LhuHKwYMRvXixVdkgNlatJyIiEuE8DmY7duxoSm9Rp06d/LlPEoH426hdO2D8eGDmTDfBbI0acBQrhqh9++D48Ucrj1ZEREQimsfB7NChQ11eF/EV52D2rbdcbJAjhxXlfvSRlVyrYFZERCTiZSpnduXKlfj555/TrOe6X375JeIbVTI/tW2uXMDmzcBff7nZyO6yVYkuERERyewAMNaYZfWC1P755x9zn0hm5Mtn1Zwl9s661KoVHFFRiPrtNyvBVkRERCJapoLZDRs2mAFhqXFgGO8TyUqqQbrBbJEiuGAfe+qdFRERiXiZCmY5EGzfvn1p1u/ZswfR0Zmah0HEuOEG65IVDU6ccN0o51u0yKAorYiIiESKTAWzrVq1wuDBg3H06NHkdUeOHDHT2fI+kczi7F+XX25V3nJXTvacHcxyurDz59XYIiIiESxTwezrr79ucmbLlCmDZs2amaVcuXJmJjDeJ5LVEl3ppRowzcBRqBBw+DDw009qbBERkQiWqWC2ZMmS+O233zBixAhUqVIFtWvXxltvvYV169ahVKlSvt9LichUAwazDoeLDZjKYk8Z9s03Ad03ERERCS2ZTnDNkycP7rvvPt/ujQiA664D4uOBv/8G1q2zZgdL48YbgU8/tYLZESPUbiIiIhHK42B2xowZaNu2LXLlymWup6dDhw6+2DeJUAxkOR/Cd99ZvbMug9nrr7d6aP/4wypMW6FCEPZUREREwiaY5RS2zIktWrRoutPZRkVF4cKFC77aP4ngVAM7mH3ySRcbJCRYRWnnzwe+/Rbo3z8IeykiIiJhkzOblJRkAln7urtFgaz4gp0Su2yZNc7LpfbtrUvlzYqIiEQsj4PZQoUK4cCBA+Z6z549cfz4cX/ul0S4smWBKlUAdvLPmZNBMLt4MeBUJk5EREQih8fBbGJiIo4dO2auT5o0CWfOnPHnfomkqGrgUvnywJVXWrVmNYGCiIhIRPI4Z7Z+/fomV5ZluBwOB/r27Yt4jtRxYeLEib7cR4lQrDf76qvA998ztQXIkcNN7ywHgTHVoGvXIOyliIiIhEXP7CeffIJ27drhxH9zjHL2r8OHD7tcRHyhYUMgf37g33+BX37JINWAEa9mAxMREYk4HvfMFitWDC+//LK5ztm+Pv74YxQuXNif+yYRLlcuoHVrYNo0q2DBNde42Kh+fSZ0A4cOWbOBNW4chD0VERGRsBoAxulrY2Ji/LlfIoZdsthtaWPWmrXnv1VVAxERkYijAWAS0hinMlf211+BHTvcbKQSXSIiIhFLA8AkpDGThbmzS5ZYHa8PPeRiozZtNBuYiIhIhMrUADDO8qUBYBLoVAO3WQT2bGDpbiQiIiLZkQaASVgEs48/DixYAPxX6th1qoE9te2AAQHeQxEREQn5nllizyx7ZLdt22YqGbz44os4cuRI8v0HDx5EFU7bJOJDFStay7lzwOzZbjbSbGAiIiIRyatgdtasWTh79mzy7VdeeQWHWBLpP+fPn8eff/7p2z0UcUo1YMer29nAKlfWbGAiIiIRxqtgNjXOBCYSyGD2u+/SmRvB7p11W8dLREREspssBbO+MHr0aDMJQ1xcnJkqdwmHrXvgxx9/RHR0NGrWrOn3fZTg49wIrGxw6FAUfv45Z8YRb2JiQPdPREREwiCYZRUDLqnXZdaUKVPQv39/DBkyBGvWrEHjxo3Rtm1b7Ny5M93HMW+3W7duaNGiRaZfW8KL89wIs2blch/xFivGAwRYuDCg+yciIiIhXs3ATiu45557EBsba26fOXMGffr0QZ48ecxt53xaT7zxxhvo1asXevfubW6PHDkSs2fPxpgxYzB8+HC3j7v//vtxxx13IGfOnPj666+9ek0JX+x4/fjjdIJZzq7QsSMwdizw1VfWXLgiIiKSrXnVM9u9e3cULVoUCQkJZrnrrrtQokSJ5Nu8jz2mnkhMTMSqVavQOlXAwdvLli1z+7gPPvgAW7ZswdChQ73ZdckGODdCTIwDmzfnhNtxhp07W5fTpwNJSYHcPREREQn1nlkGkr5y4MABXLhwAcV4WtgJb+/du9flYzZt2oQnn3zS5NUyX9YT7C127jE+9l+hUvYyB2IAm/06GiyXdXnzAk2bAnPmcIyXA5UqudioWTMgf35E7dkDx/LlVuqB6NgMAP2tqz1DmY5PtWe4HZ/exE1eBbP+kDrnljvvKg+XgS9TC5577jlUZNFRDzFdgY9xlXcbqGCWs6ZlNb9YLC1bxmDOnNz4+usLuO++ky6bJXfr1oiZNg1nJ0/GGdU91rEZIPpbV3uGMh2fas9wOz7tzkdPRDmC1GXINIPcuXNj6tSp6GyfGgbQr18/rF27FosWLUqxPSdnKFiwoMmTtSUlJZkG4Lo5c+agefPmHvXMlipVyjxf/vz54W/cPwbOTMNQMJt1O3Y4UK5cDuTI4QA78IsUcbHRtGmI6tIFjgoVYPIR9CNCx2YA6G9d7RnKdHyqPcPt+GS8VqBAAbM+o3gtaD2zMTExphTX3LlzUwSzvN2Rg3hS4RtZt25dmrJe8+fPx7Rp00x5L1c4WM0esJZRZQZ/sV9LwWzWlSkDVKt2HuvWReP77wGXKdpt2/KDR9TmzcCGDUDVqj545exJx6baM5Tp+FR7hjIdn/5tT29ipqDWmR04cCDGjx+PiRMnYuPGjRgwYIApy8UKCTR48ODkAWU5cuRA1apVUywccMb6tLxuV1SQ7O/668+nPzcCk2vtgYVffhm4HRMREZGAC2ow27VrV1OOa9iwYWbyg8WLF2PmzJkow+43AHv27Mmw5qxEnrZtz5nL2bNZHs7NRnZvP0t0iYiISLYVtJzZYGEOBnMyPMnB8AXlKfm+PQ8fPooaNRLw999RpgKXPfFXCgcOWBMosDzX1q2AmzSUSKZjU+0ZynR8qj1DmY7PwOTMehqvBX06WxFvcW6Em2+2rk+b5mYjjgxr0sS6rok1REREsi0FsxKWbrkFyXmzbieeU6qBiIhItqdgVsIS50IoXpz1goF58zIIZpcuBfbvD+TuiYiISIAomJWwTzWYOtXNRqVKAXXqMBknndIHIiIiEs4UzErYpxowJTYxMYPeWZXoEhERyZYUzErYatTIKlhw5AiwYEEGwSxzEbyYGk9ERETCg4JZCVuc2fimmzKoalC5MlCpktV1+913gdw9ERERCQAFs5ItUg04N8K5cxls9PnnAdsvERERCQwFsxLWWEqWJWUPHgQWLXKz0W23WZczZ1o5CSIiIpJtKJiVsBYdfTEt1m2qQdWqwFVXWakGmkBBREQkW1EwK2HPziJgwYLz5zPonZ08OWD7JSIiIv6nYFbCXrNmQKFCwL//AkuWZBDM/vCDtaGIiIhkCwpmJezlygV06pRBqkGFCtYEChcuAF98EcjdExERET9SMCvZLtWA8Wq6vbOffRaw/RIRERH/UjAr2UKLFkBCArB3L/Djj2426tLFumQuwt9/B3L3RERExE8UzEq2EBMDdOxoXZ861c1GpUpZ04Y5HOlsJCIiIuFEwaxkG3bHK+dGcFvV4PbbrUtVNRAREckWFMxKttG6NVC4MLB/v1W0wG1ybY4cwIoVwNatAd5DERER8TUFs5KtqhrYY7w++cTNRkWLWgm2pN5ZERGRsKdgVrKVu++2Lr/6Cjhxws1GmkBBREQk21AwK9nKNddYJWVPnUpn5lrOf8tu3HXrgPXrA7yHIiIi4ksKZiVbiYoC7rorg1SDggWBtm2t61OmBGzfRERExPcUzEq2c+ed1uXcucCePR6kGrBUl4iIiIQlBbOS7TDNoF49ICkpnTFe7dsD8fHApk1WZQMREREJSwpmJVvKMNUgb17g5put6x98ELD9EhEREd9SMCvZUteuQHQ0sHo1sGGDm4169LAu2X17+nQgd09ERER8RMGsZEtFilwc4/Xpp242atoUKFsWOHrUquUlIiIiYUfBrGT7VAMGs8yfTYMzgXXvbl1XqoGIiEhYUjAr2RbHeOXLB+zYAfz4o5uN7GB23jxg585A7p6IiIj4gIJZybZYrOCWW6zrH3/sZqNy5YBmzazyXB99FMjdExERER9QMCsRkWrw+efAmTNuNrrnHuvyww9Vc1ZERCTMKJiVbI1jvC67zBrj9d13bjZiiS7mI2zZAixZEuA9FBERkaxQMCvZGsd42b2z48e72ShPHqBLF+u6BoKJiIiEFQWzku317m1dzp4NbN+eQc3ZqVOBEycCtm8iIiKSNQpmJdsrXx5o0cJKh5040c1GDRoAFSsCJ09aAa2IiIiEBQWzEhHuu8+6nDABOH/exQZRURcHginVQEREJGwomJWI0LGjNSvY7t3AzJluNurWzUqy5SCwzZsDvIciIiKSGQpmJSLExl7seB071s1GJUsCrVpdLNMlIiIiIU/BrESMe++1Lr//Hti1y81GPXteTDU4dy5g+yYiIiKZo2BWIgbHd7HubFJSOgPBmI9QtKiVjzB9eoD3UERERLylYFYisneWNWcvXHCTj2BvNGpUQPdNREREvKdgViLKTTcBhQoBf/8NzJrlZqP777cGgi1cCGzYEOA9FBEREW8omJWIEhcHdO9uXR83zs1GpUoBHTpY10ePDti+iYiIiPcUzErEsbMIvv0W+OcfNxs99JB1+dFHwPHjAds3ERER8Y6CWYk4lSsDjRpZObNu50fglGGVKlmB7McfB3gPRURExFMKZiWiZwRzOxCMM4I9+ODFgWCcC1dERERCjoJZiUi33AIULAjs2GGlG7jE5No8eaxBYIsXB3gPRURExBMKZiUixcdf7J194w03GyUkAHfdZV1XmS4REZGQpGBWItbDDwPR0Van66pVbjayUw2++sqaSEFERERCioJZiViXXQZ07Wpdf/NNNxtVr26NFjt/Hhg7NpC7JyIiIh5QMCsRbcAA63LKFA/KdDGYPXcuYPsmIiIiGVMwKxGtdm2gSROr4/Xdd9OZNqxYMWDPHuDLLwO8hyIiIpIeBbMS8eze2ffeA06ccNEcMTFAnz7W9VdfVZkuERGREKJgViJe+/ZA+fLAkSPApEnpjBbLndsaKfbDDxHfZiIiIqFCwaxEvJw5gf79rWYYORJISnLRJEWKXJwHd/jwiG8zERGRUKFgVgTAPfcABQoAmzenM4nCo48CuXIBCxYAP/+sdhMREQkBCmZFAOTNe3ESBbdlukqVujiJgnpnRUREQoKCWZH/PPKINYnCwoXA6tVumuWJJ4CoKGD6dGD9erWdiIhIkCmYFXGaROHWWzOY4rZSJatUF73yitpOREQk0oPZ0aNHo1y5coiLi0Pt2rWxZMkSt9t++eWXaNWqFS655BLkz58f9evXx+zZswO6v5K9MS2WJk8Gtmxxs9Hgwdbl//4HbN8esH0TERGREAtmp0yZgv79+2PIkCFYs2YNGjdujLZt22Lnzp0ut1+8eLEJZmfOnIlVq1ahWbNmaN++vXmsiK8mUbj+euDChXTSYrlRq1bWRq+9poYXEREJoiiHw+EI1otfe+21qFWrFsaMGZO8rnLlyujUqROGezjA5qqrrkLXrl3xzDPPeLT9sWPHkJCQgKNHj5reXX9j8/K1+JpRzLWUkG/PZcuAhg2t/NlNm4CyZV1sxIoGzZsDcXFW7yxnCAszOjbVnqFMx6faM5Tp+PR/e3oTrwWtZzYxMdH0rrZu3TrFet5exmjCA0lJSTh+/DgKFSrkp72USNSgAdCihTXFrdu02KZN+WsMOHPGKk4rIiIiQREdnJcFDhw4gAsXLqBYqh4t3t67d69Hz/H666/j5MmT6NKli9ttzp49axYbI337V0AgOqXt1wliB3i2Eqj2/L//A+bNi8LEiQ489ZQ1OCyNJ59EVOfOcIweDQwaZBWqDSM6NtWeoUzHp9ozlOn49H97evM9H7Rg1pb6VDF33pPTx5999hmeffZZTJ8+HUWLFnW7HdMVnnvuuTTr2W0dqGD2xIkT5rrSDMKnPWvWZA9tXixbFo0XXjiLV145nXajJk2Qr3Jl5Ny4EWdefBFnGAGHER2bas9QpuNT7RnKdHz6vz3tzseQzpllmkHu3LkxdepUdO7cOXl9v379sHbtWixatCjdgWM9evQwj73hhhvSfR1XPbOlSpXCkSNHlDMbhgKZp/TDD0x7iUJcnMNUNihe3MVGX3+NqJtugiNPHmv6sDDKnVXOl9ozlOn4VHuGMh2fgcmZLVCggEc5s0HrmY2JiTGluObOnZsimOXtjh07ptsj27NnT3OZUSBLsbGxZkmNjRWonlL7tdQzG17t2bIlUL8+8NNPUXj9daa1uNioUyeTOxvF6W1fegl4+22EEx2bas9QpuNT7RnKdHz6tz29+Y4PammugQMHYvz48Zg4cSI2btyIAQMGmLJcffr0MfcPHjwY3bp1S96eASxvM1e2Xr16JreWC6N2EV/j39HTT1vX33sP2L/fzUYMYu2NVHdWREQkoIIazLKk1siRIzFs2DDUrFnT1JFlDdkyZcqY+/fs2ZOi5uz777+P8+fP46GHHkLx4sWTF6YmiPgDa87WqQOcOpXOrGAs0cVu3HPngGef1QchIiISKXVmg0F1ZsNbMPKUZswAmPmSN6/V8Vq4sIuNVq4ErrkGyJED+O03FkBGqFPOl9ozlOn4VHuGMh2fvhW2dWZFwkX79kCNGgAHWr76qpuN6tYFbrqJxY+tul4iIiISEApmRTLAH4nPP29d5/wIO3a42fCFF6ye2a+/BjggTERERPxOwayIB2680Zr0i1Xehgxxs1HlyoA9YJEzLYiIiIjfKZgV8bB31i7N9emnVoqsSxwAFhMDzJ9vFaoVERERv1IwK+KhWrWAu++2rj/2GBPWXWzEShz/lZbjdLcmh1ZERET8RsGsiBdefBGIiwMWL7aqHLjEPIR8+YBVq4BJk9S+IiIifqRgVsQLpUpxsg/r+qBBVmnZNIoWBYYOvdg7q0k9RERE/EbBrIiXnnjCilf/+osTebjZ6JFHgEqVrGnDnntObSwiIuInCmZFvMTazXZ8yvFeR4642IiDwFjHi955B9iwQe0sIiLiBwpmRTKhd2+rEtfBg8Dw4enMhduhA3D+PMAplyNrsj0REZGAUDArkgnR0RdnA2MH7ObNbjZ84w2rl5ZluqZPV1uLiIj4mIJZkUxq1w5o1QpITAQeeMBNx2v58lYdLxowADh9Wu0tIiLiQwpmRbIwkcLo0VapLna8fvKJmw0HDwZKlgS2b78484KIiIj4hIJZkSyoUOFiFS52vB444GKjvHkv5iS89BKwa5faXERExEcUzIpk0aOPAtWqWYPB7IyCNG67DWjUyEozcJuTICIiIt5SMCuSRblyAWPHWmkHnPBr3jwXG/HOMWOswWDffQeMG6d2FxER8QEFsyI+UK8e8NBD1vX773czzqtq1Yt1vJiTsGmT2l5ERCSLFMyK+MiLL1rjvLZsAV54wc1G/fsDzZoBp04Bd99t1aAVERGRTFMwK+LDmcHefde6PmIEsG6dq7+4HMCHHwIJCcDPP1sDwkRERCTTFMyK+FCnTkDnzlaHa69ewLlzLjYqXRoYNcq6PmwYsHKlPgMREZFMUjAr4mPvvAMUKGDFqM8842ajO+4AunYFLlwA7roLOHlSn4OIiEgmKJgV8THmzY4fb11/5RVrQgW3My5w47/+AgYN0ucgIiKSCQpmRfzg5putqgYsJ8txXvv3u9ioUCHggw+s6wxsp03TZyEiIuIlBbMifvLmm8BVVwF79wLduwNJSS42atXKmnWBuNHatfo8REREvKBgVsRP4uOByZOBuDhg1ixg5Eg3G778MtCmjVWuq0MHYN8+fSYiIiIeUjAr4kecJ4E9tPTkk8CqVS42io62ot6KFYFdu4CbbgLOntXnIiIi4gEFsyJ+xtxZxqcs03XbbcDx4y42YvmDGTOs+rPLlgEPPGAl3IqIiEi6FMyK+BkLF4wbB5QqBWzeDPTo4SZ/tlIl4PPPrYkVODDMbV6CiIiI2BTMigQACxcwkyAmBvjii3Tqz7ZuDbzxhnX9sceA2bP1+YiIiKRDwaxIgDRoYPXQ0osvAh9/7GbDvn2t6cPYfXvLLcCKFfqMRERE3FAwKxJA3bpZA8God2/gxx/TmVCheXPgxAmr0sGvv+pzEhERcUHBrEiAsVe2c2cgMdG63L7dxUbMR5g+3erOPXLEqke7caM+KxERkVQUzIoEGMd3McWgVi3g33+BG28Ejh1zsWHevMDMmRc3bNkS2LJFn5eIiIgTBbMiQZAnj1WJq3hxYP16q2TX+fMuNmSpLg4C41Riu3cDLVpYtWhFRETEUDArEiQlS1oBLWcK+/77i2O+0ihSBPjhB+CKK4AdO6yAds+eIOyxiIhI6FEwKxJEdepYJbty5gQ++gh4+GE3cyVceikwbx5QpgywaRPQqBHw559B2GMREZHQomBWJMg6dLByaFnEYMwY4Ikn3AS0nHWBAe3llwNbt1qDw5YuDcIei4iIhA4FsyIh4PbbgbFjreuvvgq88IKbDcuXB376CbjmGuDQIWtQ2NSpgdxVERGRkKJgViREsO7sm29a1zlDmD0RWBpFiwILFgAdOwJnzwJdugCvveamO1dERCR7UzArEkL69weef966/uijwHvvudkwd25rXlwm2dLjjwOPPOKmJIKIiEj2pWBWJMQMGQIMGmRdf+ABYOhQN52uHDX29tvA669bt0eNAho3Vi1aERGJKApmRUIMB4K9/DIweLB1e9gw4K67gDNn3Gw8cKDVS8uatMuXAzVrApMmKe1AREQigoJZkRDEGPWll4Dx44HoaOB//7NmtD1wwM0DbroJ+PVXoEkT4MQJ4J57rJkYDh8O8J6LiIgEloJZkRDGiRQ4oQI7XVmFq3594K+/3GzMGrTz51tRMCPgzz8Hqle3BouJiIhkUwpmRUIcq28tWwaULQts3mwFtJwQzCXm0TI/gQ/gjGF//w00b26VSjh4MMB7LiIi4n8KZkXCQJUqVjrstdda5WWZcsBUWZd5tFS3LrB6NXD//dbtCROASpWADz9ULq2IiGQrCmZFwkSxYlbGQJ8+1m3WpGXMylRZl/LmtWp7/fgjULWq1TPbowfQrBmwcWMgd11ERMRvFMyKhJH4eGvK22+/teZO+P13azIwzpmQlOTmQZz2lr20I0ZY9WkXLQJq1DCFbKP+/TfA70BERMS3FMyKhKEbbgDWrQM6dAASE605E1q0AP78080DcuWyNtqwAbjxRuDcOUS9+Sbys4zXk0+mUyZBREQktCmYFQlT7Jn9+mtg7Firw3XhQiubgLm0R46kU/Fgxgxg1iw4rrkGUadOIYo9tuXKAf/3f1ZCroiISBhRMCsS5vVo770X+O03q8OVs9kyl5aFDN5/H7hwwc2D2rQBfvoJJyZPhqNWLas27YsvWiUTHnzQSksQEREJAwpmRbKB8uWBb74xHa6oXNnKGuBAMcapLOPlcjrcqCicZ1C7cqXVxcuatMePW0m5tWtbD+YUuZp4QUREQpiCWZFshLEpqxu8/TZQsKDVY8syXhwDxmDXXVCLjh2BNWuAuXOtmcNiYqzbDz8MlCgB3HGHNWXuyZNBeFciIiLuKZgVyWY41uuRR4BNm4B+/YC4OKtGLQeLsYjBZ59Z6Qhp5MhhzdDADXbvBt56y0rCZTFbrrvlFqBIESvwZb1aTcIgIiIhQMGsSDZVuDAwciSwfbtVsCBfPqsCAjtZr7zSilUPHYpy/+C+fa2u3Z9/Bh57DLj8ciuw5QAy1qtl4dsmTYAXXrBSFVwm6IqIiPhXlMPh8sRjtnXs2DEkJCTg6NGjyJ8/v99fj83L1+JrRvF0rqg9g4Spr0yBZYBrd6rGxDhMR2uvXlGmU5az4brF/yoYDX/5JfDVV1agmzoA5pO0bg1cd50V/EbQMa+/dbVnKNPxqfYMt+PTm3hNwWwQPiBRewYT014nTeIMtw6sXn3xmLzsMqB7d6BzZ+Dqq62sg3Rt2wbMnm0t8+ZZg8ecMde2USOgcWNrqVbNgycNX/pbV3uGMh2fas9QpmDWS+qZDW/6D9m3bbl06Ql8/nlefPppVIqiBZdeCrRtC7RrZw0gS0jI4MnOnbPSEebMscon/PKLtS719LrMwWVQy8oJvORSqBCyAx2bas9QpuNT7RnKFMx6ScFseNN/yP5py7NnozB9OjB5shWLsuysLToaqFfPqohQv761MF02XadOAStWAEuWWMuyZe4rIfDJKlZMu7DmLWeDCBM6NtWeoUzHp9ozOwez0Qiy0aNH49VXX8WePXtw1VVXYeTIkWjMU5JuLFq0CAMHDsT69etRokQJDBo0CH1YUFNEMo0VD7p2tZazZ4GlS4GZM4HvvrOmyOVtLjamwzKoZSnaq66ylpIlnVJkGYQ2bWotxPIJfCLm3NoLc2537AD27bMWBr2psXpC6dLWzGW8LFXKCn65cAo0LpdcYkXcIiISkYKaMztlyhTcfffdJqBt2LAh3n//fYwfPx4bNmxAaX5xpbJt2zZUrVoV9957L+6//378+OOPePDBB/HZZ5/h5ptv9ug11TMb3tS7EPi23LIFWLzYTBhmlvXrXderZSpClSrWUqGCNUMug15ecmyYy5c4dgz46y/XS+oc3PQwVYFBbeqF6wsUsIrupl6Y9uDDPHYdm76l9lR7hjIdn74V1mkG1157LWrVqoUxnHHoP5UrV0anTp0wfPjwNNs/8cQTmDFjBjZu3Ji8jr2yv/76K37it6wHFMyGN/0HEvy2PHrUSo9l7Vp2sDK4ZeyZXmUulgXj71O7M9V5YbzJQJgxJy/N9QQHYs8ctXpud+60Lrn8/Tfw77/A/v1Wby6nOktKylwDsHSDc6DLF2aAy511vmQvM7uu4+Otxb7Oy9hY6zIuDo7YWBw7exb5ixZFlH1/Nh7w5m/6W1d7hjIdn74VtmkGiYmJWLVqFZ5kAUwnrVu3xjLm17nAgJX3O2vTpg0mTJiAc+fOIRerxYuIXzHm45+h858iUxMY0DKw5W/NrVutYge83LPH6mTlfVw8E4VcuQogb94CyJevRnJcaceW8ZWB+FpA7vgkxOMMYs+fRK7Ek4hJPI5cZ44j1+njyHXqqLkeffo4cp6yLqNPHUX0iaOIunAOOS4kIcdBa4mCAznAyzOIwmlEYd9/tx1mubhXKa+nXpzXm+sMmGNjEMX/m7gwHcL5Ou+PzgnkjE57m4EwF67jYt92tdj3O2/LLwTnbezbvLQXO9i2t7GvO29jFuudpV1/cYnK8d8PouTfRfZtp9dJ/bjkTZ22dfpyO33mNOLj4hGV+keBi+1drnP1GE+4el5fCVJVG7bnqdOnkTs+PnOVdVSNx7ftGcYqtymNhNIZjQoOrKAFswcOHMCFCxdQLNVIEt7eu3evy8dwvavtz58/b56vePHiaR5z9uxZs9gY6dsHYiA6pe3XibByvn6j9gzNtuTstyxUwCW106etiRucO1XthbdZRYG9vUeOWJfHjllfDCyGwPucqyykxSAn93/LJQg57K0+FeydEBHxnbmvrEKLx2v5/fvIm++moI+aSP2Lhjuf3q8cV9u7Wm9jusJzzz2XZj27rQMVzJ74b2h4pP168we1Z3i2JUvOcvEE0xVOnIgyvbknT0aZ69altf7MGS4smGBdZ7CcmBhlgl9rsa5zzJm1RJlLPi8veT//9J0XZipwSbk+KkUGg/N/F/Z15+2tfWdvbpRZ4UhyOF2arZM3juJt86BU96V+8hSXyf+kup7OOpePS3ElxTbJR4G9W2m2cfHYjO7zZpvUD3E4dfSmfSL/8/lLqVNDsoFc500M5e/vI7vzMaSD2SJFiiBnzpxpemH379+fpvfVdumll7rcPjo6GoU5wsSFwYMHm+oHNjZOqVKlTB5GoGYAI02aoPYMNaF8bIZj6Vkr5+tESLZnOFJOotozlEX28Vk6IN9H3rRr0ILZmJgY1K5dG3PnzkVnTjn0H97uyPk1Xahfvz6++eabFOvmzJmDOnXquM2XjY2NNUtqbKRAHYD2a0XeAe8fak+1ZajSsan2DGU6PtWe4XR8ehMzBXWoLXtMWYpr4sSJpkLBgAEDsHPnzuS6sexV7datW/L2XL9jxw7zOG7Px3Hw12OPPRbEdyEiIiIiwRLUnNmuXbvi4MGDGDZsmJk0gTVkZ86ciTIskA6Ogt5jgltbuXLlzP0MekeNGmUmTXj77bc9rjErIiIiItlLUOvMBoPqzIa3yM5T8i21pdozlOn4VHuGMh2foVVnVhW9RURERCRsKZgVERERkbClYFZEREREwpaCWREREREJWwpmRURERCRsKZgVERERkbClYFZEREREwpaCWREREREJWwpmRURERCRsKZgVERERkbAVjQhjz97LadIC9Xp8LU7PpulX1Z6hRMem2jOU6fhUe4YyHZ/+b087TrPjtvREXDB7/Phxc1mqVKlg74qIiIiIZBC3JSQkpLcJohyehLzZSFJSEnbv3o18+fIFpKeUvywYOO/atQv58+f3++tld2pPtWWo0rGp9gxlOj7VnuF2fDI8ZSBbokQJ5MiRflZsxPXMskEuu+yygL8uPxwFs2rPUKRjU+0ZynR8qj1DmY5P/7ZnRj2yNg0AExEREZGwpWBWRERERMKWglk/i42NxdChQ82lqD1DiY5NtWco0/Gp9gxlOj5Dqz0jbgCYiIiIiGQf6pkVERERkbClYFZEREREwpaCWREREREJWwpmRURERCRsKZj1o9GjR6NcuXKIi4tD7dq1sWTJEn++XLa2ePFitG/f3swEwpnbvv7662DvUtgaPnw46tata2bBK1q0KDp16oQ///wz2LsVtsaMGYPq1asnF/uuX78+vv/++2DvVrY5Vvn33r9//2DvSth69tlnk+e7t5dLL7002LsVtv755x/cddddKFy4MHLnzo2aNWti1apVwd6tsFS2bNk0xyaXhx56yOvnUjDrJ1OmTDH/AQ8ZMgRr1qxB48aN0bZtW+zcudNfL5mtnTx5EjVq1MC7774b7F0Je4sWLTL/WSxfvhxz587F+fPn0bp1a9PG4j3OKPjyyy/jl19+MUvz5s3RsWNHrF+/Xs2ZBStXrsTYsWPNDwXJmquuugp79uxJXtatW6cmzYTDhw+jYcOGyJUrl/nBumHDBrz++usoUKCA2jOTf+POxyW/j+jWW2/1+rlUmstPrr32WtSqVcv02tgqV65sesHY2yCZx19uX331lWlLybp///3X9NAyyG3SpIma1AcKFSqEV199Fb169VJ7ZsKJEyfM/588u/XCCy+Y3q+RI0eqLTPZM8szWWvXrlX7ZdGTTz6JH3/8UWdZ/YQdgN9++y02bdpkvue9oZ5ZP0hMTDSnHdjb5Yy3ly1b5o+XFMm0o0ePJgdgkjUXLlzA5MmTTS830w0kc3jm4IYbbkDLli3VhD7A4IApWkx7u+2227B161a1aybMmDEDderUMT2H7AC4+uqrMW7cOLWlj+KmTz75BD179vQ6kCUFs35w4MAB86VWrFixFOt5e+/evf54SZFM4ZwpAwcORKNGjVC1alW1YibxtG3evHnN7DV9+vQxZw6qVKmi9swE/hhYvXq1zmD58CzhRx99hNmzZ5vAi99BDRo0wMGDB3V8eok/Ani29YorrjDtyb/1vn37mvaVrOHZgyNHjuCee+7J1OOjs/j6ko7Uvy4YOGTmF4eIvzz88MP47bffsHTpUjVyFlSqVMmcxuV/xl988QW6d+9u0jYU0Hpn165d6NevH+bMmWMGzkrWcayGrVq1auaMQfny5TFp0iTzQ1Y8l5SUZHpmX3rpJXObPbPMjWeA261bNzVlFkyYMMEcqzyDkBnqmfWDIkWKIGfOnGl6Yffv35+mt1YkWB555BFz2mzBggVmEJNkXkxMDCpUqGC+6JgTz8GKb731lprUS0zP4v+TrP4SHR1tFv4oePvtt811nvGSrMmTJ48Japl6IN4pXrx4mh+oHAujgd1Zs2PHDvzwww/o3bt3pp9Dwayfvtj4n7E9Ms/G2zy9IxJMPEPAHtkvv/wS8+fPN3l04vs2Pnv2rJrVSy1atDApG+zlthf+QLjzzjvNdXYSSNbwuNy4caMJzMQ7rGSQuozhX3/9hTJlyqgps+CDDz4wOcjMk88spRn4CU/f3H333eY/Yp7WYYkZ/npjjo1kbnTz5s2bk29v27bNfLlx0FLp0qXVpF4Orvnf//6H6dOnm1qz9hmEhIQExMfHqy299NRTT5nTY6VKlcLx48dNzufChQsxa9YstaWXeDymzt1mTyJreiqnO3Mee+wxU6Ob/0+y15vVIY4dO2ZSYcQ7AwYMMB1STDPo0qULVqxYYb7buUjmUzcYzPJ45NmXTHOI34waNcpRpkwZR0xMjKNWrVqORYsWqbUzacGCBQ4erqmX7t27q0295KoduXzwwQdqy0zo2bNn8t/5JZdc4mjRooVjzpw5aksfue666xz9+vVTe2ZS165dHcWLF3fkypXLUaJECcdNN93kWL9+vdozk7755htH1apVHbGxsY4rr7zSMXbsWLVlFsyePdt8//z5559ZeRqH6syKiIiISNhSzqyIiIiIhC0FsyIiIiISthTMioiIiEjYUjArIiIiImFLwayIiIiIhC0FsyIiIiISthTMioiIiEjYUjArIiIiImFLwayIiIiIhC0FsyIiAcCZhO+77z4UKlQIUVFRWLt2rct1/tK0aVP0798fgXDw4EEULVoU27dvz9Lz3HLLLXjjjTd8tl8ikj0pmBWRiLF371488sgjuPzyyxEbG4tSpUqhffv2mDdvnt+DwlmzZuHDDz/Et99+iz179qBq1aou1znjvrVs2dLl8/30008mAF69ejVCzfDhw82+ly1bNkvP88wzz+DFF1/EsWPHfLZvIpL9KJgVkYjAXsLatWtj/vz5GDFiBNatW2eCyWbNmuGhhx7y++tv2bIFxYsXR4MGDXDppZciOjra5TpnvXr1Mvu7Y8eONM83ceJE1KxZE7Vq1UIoOX36NCZMmIDevXtn+bmqV69uAuJPP/3UJ/smItmTglkRiQgPPvig6clcsWKFOX1dsWJFXHXVVRg4cCCWL19utmHgNHLkyBSPY8D47LPPmuv33HMPFi1ahLfeess8FxcGyWfPnkXfvn3NqfW4uDg0atQIK1euTH4OPo49wjt37jSP4eu4WpfajTfeaJ6TvbfOTp06hSlTpphg18bAnK9boEABFC5c2DyWwbI7Gb1XYhoEA3/2ZMfHx6NGjRqYNm1auu38/fffm6C8fv36yes+++wz0y7//PNP8joGuwxWjx49mu7zdejQwTxeRMQdBbMiku0dOnTIBHvsgc2TJ0+a+xkAeoJBLIO0e++916QFcGGqwqBBg/DFF19g0qRJ5rR/hQoV0KZNG/O69uOGDRuGyy67zDyGga6rdakxKOzWrZsJZhlY2qZOnYrExETceeedyetOnjxpAnM+D9MmcuTIgc6dOyMpKSmTrQb83//9Hz744AOMGTMG69evx4ABA3DXXXeZgN6dxYsXo06dOinW3XbbbahUqZJJP6DnnnsOs2fPNoFvQkJCuvtwzTXXmB8g/MEgIuJKynNaIiLZ0ObNm00weOWVV2bpeRh4xcTEIHfu3CYtwA4iGewx4Gzbtq1ZN27cOMydO9ecbn/88cfN4/Lly4ecOXMmP45crUutZ8+eePXVV7Fw4UKTEmGnGNx0000oWLBg8nY333xzisfxtdmru2HDhjS5uJ7g++LgK6Y52L2s7KFdunQp3n//fVx33XUuH8ee6hIlSqRYx55n5r6yR5z3MZBfsmQJSpYsmeF+cBsGssx3LlOmjNfvQ0SyPwWzIpLt2b2aDKp8jafyz507h4YNGyavy5Url+lR3LhxY5afnwE4c2oZwDKY5esxEJwzZ06a/Xj66adNysSBAweSe2SZxpCZYJZB8JkzZ9CqVasU69kjfPXVV6ebM8uUgtSY9lClShXTK8t9Z4qHJ5jeYKdWiIi4omBWRLK9K664wgSyDC47derkdjuemnc+nU8MVDMTKHO9r4Jn5sY+/PDDGDVqlDntzx7KFi1apNiG1QOY8sBeYfZ+MphlEMvgMzPv1Q6Gv/vuuzQ9qKwE4U6RIkVw+PDhNOuZVvDHH3/gwoULKFasWIr7OMCNKSB///232QcGu/Zr2qkal1xyidvXFJHIppxZEcn2WMeVOawMBnn6PLUjR44kB0zMX7WxJNS2bdtSbMs0AwZkNubHch1Pv9sYkP3yyy+oXLmyT/a/S5cuJh3hf//7n8nL7dGjR4pAmXVdGagzx5VBLl/XVUDpLKP3yl5UBq3s2eV7dF4YNLvDXlv26jpjHvGtt95q0hP4ObAH2cZg+4YbbjB5x6yzy15n52D3999/N3nFDJJFRFxRz6yIRITRo0eb0/U8/c+BVxxJf/78eZPbypxXBoPNmzc3ua/s5WQ+KoMuBpGpqwD8/PPPJjc0b968JlB+4IEHTG4sr5cuXdpUAOBpcedqA1nB1+natSueeuopM/qflRCccV9ZwWDs2LGm1BcD0CeffDLd58zovTKf97HHHjODvthLy0oJDHiXLVtm9qd79+4un5fB6uDBg00wzedlOzFY5f7cfffdJkiuW7cuVq1aZUqlffXVV6hXrx6aNGliHs82dMbgtnXr1lloPRHJ7hTMikhEKFeunOkh5ECkRx991PRKsneSARWDWWIQtnXrVpPfyUFbzz//fJqeWQZ4DOQYlDE/lPe//PLLJuBjsHb8+HEzmp+n1Z0HaGUVA2MO6mJgx4A5dcrA5MmTTXkwphawcsDbb79tJnhwx5P3ynUcRMYqBNyWVR9Y15ZBtTvVqlUz7//zzz83vbEcFMfyWvZj2N4MoIcMGWIqTLDeL4NbV5izy2CXbSki4k6UI3XSlIiISBbMnDnTBP1MEWCgnZ533nkHf/31l7lk+gZ7nu3eWaaFTJ8+Pc1gNxERZ8qZFRERn2rXrh3uv//+FJMkuMOUCVZiYI8ye3RZRs25KgSDXBGR9KhnVkRERETClnpmRURERCRsKZgVERERkbClYFZEREREwpaCWREREREJWwpmRURERCRsKZgVERERkbClYFZEREREwpaCWREREREJWwpmRURERCRsKZgVERERkbClYFZEREREwpaCWRERERFBuPp/H1mpe2MznC8AAAAASUVORK5CYII=", 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", 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", 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", 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 5.2: Calculating Signal and Background Efficiencies\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# We loop through every variable (skipping the 'signal' column at index 0)\n", + "for var in VarNames[1:]:\n", + " # 1. Create a list of 100 possible cutoff values (thresholds)\n", + " # ranging from the absolute minimum to the maximum of this variable.\n", + " thresholds = np.linspace(df[var].min(), df[var].max(), 100)\n", + " \n", + " tpr_list = [] # True Positive Rate (Signal Efficiency)\n", + " fpr_list = [] # False Positive Rate (Background Efficiency)\n", + " \n", + " # 2. For every threshold, we count who survives the 'x > xc' rule\n", + " for xc in thresholds:\n", + " # What fraction of the signal survives?\n", + " eps_s = np.sum(df_sig[var] > xc) / len(df_sig)\n", + " # What fraction of the background accidentally gets through?\n", + " eps_b = np.sum(df_bkg[var] > xc) / len(df_bkg)\n", + " \n", + " tpr_list.append(eps_s)\n", + " fpr_list.append(eps_b)\n", + " \n", + " # 3. Plotting the results so we can see the 'trade-off'\n", + " plt.figure(figsize=(8, 5))\n", + " plt.plot(thresholds, tpr_list, color='red', label='Signal Efficiency ($\\epsilon_S$)')\n", + " plt.plot(thresholds, fpr_list, color='blue', label='Background Efficiency ($\\epsilon_B$)')\n", + " \n", + " plt.title(f'Efficiency vs Threshold ($x_c$) for {var}')\n", + " plt.xlabel('Cutoff Value ($x_c$)')\n", + " plt.ylabel('Efficiency')\n", + " plt.legend()\n", + " plt.grid(True, alpha=0.2)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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", 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6ZH3aK16brEt7xOvStnVZkviJHcCIiIiIyGExmCUiIiIih+X0aQZERETOIDMzE+np6WaPya3ctLQ0pKSkMM2tlFiX1q1LmZpdp9NZ8F0YzBIREdm9hIQEXLx4UQUHhQ1FGRUVVablclasS+vVpQS1MlqBr6+vxd6DLbNERER23iIrgay3tzeCgoLMtrxKkCvPkxYvdkAuHdal9epSHl+7dk1dz6GhoRZroWUwS0REZMcktUCCAAlkvby8zD6HAZjlsC6tW5dyHZ89e1Zd15YKZtkBjIiIyAGwxZWcgYsVZmNlMEtEREREDovBLBEREVEedevWxY4dO1gvDoDBLBEREZVInTp1ULt2bTX8ktGECRMwa9Ysi9Toli1b0K1bN/j4+KBfv375ju/atQutWrVSneO6d++Oc+fOFem8ixcvVre758+fb9p35coVi98C//jjj9G6dWu4ublh7ty5ZsshPftlhqzx48fnqsfTp0/jlltuUZ+tbdu22L9/v0XL5kwYzBIREVGJxcfHq6DMGiSQk+D4+eefz3csNTUVw4cPx5NPPono6Gh06tQJY8aMKfK5AwMD8dprrxU4dq8lVKtWDa+88gqGDBmS79jBgwcxdepUrFq1ChcuXFCdouS5RqNGjUKfPn3UZ7v//vsxbNgwZGRkWK2sjozBLBEREZXYlClTCgwKT5w4gS5duqiWx8qVK+Opp54q1rnbt2+P0aNHq9bLvDZt2qTGKpVAz9PTEzNmzMC///5b5NbZm266CTVr1sSiRYsKfM7mzZvRoEED1QO/JK3NQ4cOxaBBg9Tnz2vp0qUYOXKk+owBAQGYPn06vvnmG3Xs+PHjapEgXj7bY489pkYF2L59e7HLUB4wmCUiInKw4Y6S0jKsvhQ2QUNOvXv3RvXq1c22zkqAOXDgQMTGxqogU4I3cf78eVSoUKHARY7fyJEjR9CiRQvTY0lFqF+/vtpfVDNnziy0dfbHH3/E33//jZ07d2LBggX45ZdfTIFoQWVv2bJlkd47b/klXSIsLAzJycnqWKNGjeDh4WE6Luc9fPhwkT9becJxZh1IxvXrcHF1hS4gwNZFISIiG0lOz0TTGeus/j5HXuoLbw+3IgeFjzzyCMaNG5drv0xdKgGa5KNWrVpVtYaKWrVqISYmptSzouVt8ZTHsr+ocgbigwcPznd88uTJqlVWFvl8EtxKS6u0FstiyfIbt2W/JT5becKWWQeRER2NMwMH4cztQ2FISrJ1cYiIiEwkt1OC1S+//DJXrbzxxhsqz1M6QUnL488//2yxWpMUg7i4uFz75HFxp0ktrHU2Z3qDpCSEh4fDWuU3bst+S3228oItsw4i6vMvkBkdrbZjV69G4N1327pIRERkA17uOtVqau1Zq+R9ihsUPvroo+jRo4dpnwS4CxcuVOVbvXq1SjOQFllpqW3atGmB55Lb7NJ6Wxh5/WeffWZ6nJiYqEYAKOy8xQnEhUy7aiSdtEJCQtT2kiVLVEutOTK6Q1HSAaSc0gnMSEYrkOHAZJY3OSY5sxJgS+u2OHDgAJ5++ulifbbygi2zDiD96lVcX7LE9Dj662+KnMtERETORYJVuf1v7aW4QXHfvn0RHByseucb/fDDD7h8+bI6l+STyloWCVSNt9PNLcZA1mAwICUlRQV1ObfFrbfeqp4rKQIysoGMBCCdqSSYFNJhS55T1ED8nXfeybf//fffR2RkpEqVkMB5xIgRav8999xTYNlzBrLSKi1lli8aObeFpCl899132LNnj8opfvXVV3HvvfeqY5IvK4sM5yWfTYb4ki8qnTt3LtbPpLxgMOsAIj/5BFpaGjxbtoSrjw/STp9G4l/s0UhERPZFgkIZSsron3/+Qbt27dTtcWm1lY5TxpbGoo4zKy2VDz/8MNavX6+2H3roIXVMr9djxYoVmDdvngqU//rrL3z99de5WlVlnNaiBuINGzbMt1+Gw5Ihvzp06KDygc3l1RZGAmwps4xSIKMVyLaxjNL56+2331bnlHQGSWN48cUXTa+Vulq7dq36bJ9//rn6rDJeLeXnojl5E5/kmMiQF/Ktx9zQGJYkVSnvI+9nqds8aRcu4HT/AfL1DrW//gpxv6/H9a+/hk/3bqiVY7BnZ2ONuiyvWJesT3vFa7NopDVPWgblFrQM01RQXVo6zcDRSRD9+++/o1KlSsV6HevScszVZUHXc2niNbbM2rnIDz9SgayPzALSoQMq3nuP3GNC4uYtSDt71tbFIyIisku7d+8udiBLjonBrB1LPX0asdk9P4MmP6nWHrVrw7dbN7Ud/c1/ebRERERE5RGDWTt27f0PJPsdfr1vg1eOgZUDx2ZN1xe7YgUy4+NtWEIiIiIi22Iwa6eSDx9G/Lp1KqUg6Iknch3z6dwZHvXrq/FmY1eutFkZiYiIiGyNwayduvbee2rtP2gQ9KGhuY5JEnXFMfeaUg207GE+iIiIiMobBrN2KGnPHiRu2QrodAh6bJLZ5wQMGQJXf3+knz+PhM1byryMRERERPaAwawdiswecqvC8OGqw5c5rt7eqHDnHWr7+jf/jatHREREVJ4wmLUzmXFxpgkRKo4fV+hzK44eDbi6InH730g9ebKMSkhERERkPxjM2pkESS/IyIBHvXrQ16tX6HPdq1eHX69eajt66dIyKiEREVH5JlPlTpgwwdbFoGwMZu1MwsYNam0MUm8kYNgwtU7atcuq5SIiIsqrTp06qF27NtLS0kz7JMiTYM8SZDrbbt26wcfHB/369ct3fNeuXWjVqhW8vb3RvXt3nDt3znQsOTkZ9957L/z8/FCrVi0sW7asyO8rU+7mnQpX3n/x4sWwlCNHjqB3795q1qvGjRvnO3769GlVBvlsbdu2xf79+03HDAYDJk+erKa6DQ4OxjvvvJPrtWvWrEGDBg1Uvd1+++24fv06nBmDWTtiSEszdeby69WzSK/xbNZMrdPOhMGQnGzV8hEREeUVHx9v0SAvJwnkJDh+/vnn8x1LTU3F8OHD8eSTTyI6OhqdOnXCmDFZ47CLmTNnqv2XLl3C8uXL8eijj+LEiRNFfu9jx46p6XCtRQLm0aNH4+233zZ7fNSoUejTp4/6DPfffz+GDRuGjIwMdezTTz9Vgb58ni1btuCNN97Axo0b1bGIiAh13g8++EBtSzAvdeTMGMzakaSd/8CQmAhdUGV4tmxZpNe4VQmCTqbrMxiYN0tEVB5oGpCWaP1F3qcIpkyZgtdeew3p6en5jkmw1aVLF/j7+6Ny5cp46qmnivVR27dvrwKzGjVq5Du2adMm+Pr6qkDP09MTM2bMwL///mtqnf36669VQCvv3blzZwwZMkQFtUUlLZ+zZ88uNIgfNGiQOr+0sF69erVYny00NBTjx49XLah5HT9+XC0SxMtne+yxx5CZmYnt27ebPtuzzz6LKlWqoFGjRnjooYfwzTffqGMrV65UgX3//v1Vy6x8hu+//14F/87KzdYFoP/Eb/hDrf169oKLa9G+Z8iYs55NmiBx2zakHDkKryIGwURE5KDSk4DXquXa5WKNP+gvXAY8fG74NAnk1q5dq1pnJajKSQLMgQMHYuvWrUhKSsLhw4fV/vPnz6NlIX+vDhw4oFIDbnSbvkWO2TElcKtfv77aLwHmlStXch2XdIR//vkHRTVu3DgsXLgQ69evV58xrx9++AE///yzWk+cOBGTJk1S20Ju/xfkl19+UQH+jT6bBKkeHh6mfVJfUn+SdpH3s7dq1QrrZKIlM/UideLm5oYzZ86gSZMmcEYMZu2EZjAgYcPGYqUYGJmC2aNHrVQ6IiKigkkL6COPPKICwLy30sPCwlRgWbVqVdx0001qvwSqMTExparShIQEFbTmJI9lvyw6nU6lKeQ9VlRS9hdeeEG1bJoLZiVHV9IAxEsvvYS6deuqNAAJHK352cwd989zLCgoqMDXOiMGs3Yi5dAhZFy7psaP9e7UqViv9WySlTjOYJaIqBxw985qNc1B0zR1G1oCOLljZ7H3KSIJ6iRY/fLLL3Ptl1zOF198Ea1bt0ZISAheeeUVDB482CLFkxSDuLi4XPvkseyXRepDWoONAa3xWHFIGoCkUPzxR9ad05xypj5Ur15ddcqKjIxUn9Oan83c8bhCjuU97oyYM2sn4v/IGsXAp1s3uOa4rVAU+uzbBqnHj0PLTg4nIiInJcGq3P639lLMoFhaZ/PmzkqAK7fqpWVWWi9HjhypRj6QNANj0GlukeM30rRpUxw8eND0ODExUY0AIPsDAwNVUJnzuIwG0Cy703RxWmclb9Vc7uzFixdN29LJTL5ESF6wKOyzScpFUT6b5MzmrEtJvTCWP+9n35/js+U9JukF0mJc7wbDfToyBrN2Ir6YQ3LlJLOESYuulpqKtLNnrVA6IiKiwvXt21cNE7Vq1SrTPskhvXz5sgr0JI9U1rJImoExHcDcYsyXldbOlJQUFdTl3Ba33nqreq7k6krnJmn1lQ5jMlSYkGG5Xn75ZdVRa8eOHVi9erUKpsXZs2dVOWRdlNZZCa5lGLCcZBQBabGV95ahyGQILEkxEIV9tq5du5pa0+XzSHCfc1tIvqwsc+fOVef/+OOPVau7dGQzfrY333wT165dU53svvjiC9xzzz3qmIx6IJ9XcmilZVq+ZNx5553Q6/VOewkzmLUDqWFhSDt1GnBzg2/3bsV+vXQW02ePUcdUAyIishXjcFhG0uGqXbt2qkVShsZaunSpau0sKgkYvby88PDDD6uOWLJt7GQmwdmKFSswb948FSj/9ddfqpe/kbQEyxiu0joswZwEhBIgGltVJeiV9IAbkU5Y0jqb83OJESNG4N1331WtsZIX/OGHH6I4ZNQF+TzyJUACUtk25uAKqSvpWCef7fPPP1ef1RgsS11KJzIZEaFLly6YNm0aemU3hskIB0uWLFGd0qRssbGxeO+99+DMXDT5OuDEJE9ELmb5YeZNprY0qUp5H3m/4uQsRS1YgIg334JP55tRa+HCEr33lZdexvWlS1Fx/HgEP/sMHF1J65JYl9bGa5N1WdakxU6CJelgJMM0mWOVnFknNmfOHFSsWFF1WsuLdWk55uqyoOu5NPEaO4DZgfjsUQx8S5BiYOTZNCtvNuUYRzQgIiIqjLlJGMhxMc3AxjIiI5G8d6/a9utZvCG5zHYCO3JUfRMiIiIiKg8YzNpYwqZNapYVmZbWvWrVEp9HHxqqcm4zY2ORER5u0TISERER2SsGs3YyJJffbSVPMRAynJe+fn21zU5gREREVF4wmLUhQ2IiErPnWfbtWbpg1jgTmEg5eqzU5yIiIiJyBDYNZj/55BM117D0WpPl5ptvxpo1a0zHJfdTxm6rVq2aGrJCxpQzzuvsyLTMTCRs3YZLzz4LLS0N7jVrQt8wtNTnNXUC47S2REREVE7YdDQDmQpOBgRu0KCBeizT4Mmgw3v37lUzWcg0eDJ+nAyI3LBhQzUgssyPLLNi+Pn5wR4Z4uKQ6eoKV09PuLi75xoiJeX4ccSu+glxv/yipq41qjjmXosMpfJfy+yRUp+LiIiIyBHYNJjNOz/zq6++qlprZeYKmY5NBiOWOZ2HDx9uCnZldhEZSNjc2HD2IOrRibh6+rTpsYuHB1z0erjodMiMiTHt1wUEwH/gAAQMGQKv1q0t8t7GiRMyLocj4/p1uAUGWuS8RERERPbKbnJmZVDd5cuXq7mVJd1ABtSVuZxzzoYhs310794d27PzTO2RlmMeZfU4LQ2G+HgVyEpLrV/v3qjx0YcI3boFITNmWCyQFTo/P5WyIFKPMW+WiIiorMkUuQVNbkFOGswePHhQTXMngeqECROwcuVK1SorgayQltic5LHxmDkyh7HMIpFzMebflsVSefkyhO7bi9B/dqLB1i2ov+EP1PvtN9RZtRINtm1F9fffg6+MJ+vubpX3N6YaJB/NGm+WC+uA1wCvAV4Djn8N3OjvWE5lWa46deqoaWHlb69xn9w5lWltLXH+zZs3o1u3bvDx8UG/fv3yHZfpclu1agVvb2/V2CWBpPFYUlIS7r33XpWWWKtWLXVXN+drFy1apNIdpc/O+PHjTZ/hRnU5btw4NaPVkSNHTPuWLVum+vUU9edVlEWm8K1fv75KQ/z7779zHZMGwCeffFJNdRscHKxSMnMe/+2331QKp9SbpG/KVLzGYxERERg4cKCqM5ne948//sj1WpkdLSgoSM2Q9vTTT8NgMJTqujVXlwXVT0nZfAYwqch9+/YhJiYGP/74I+677z518RrlzSWVD1tYfqn8EGbPnp1vv0yPVpqKKgo5v7QsS/lUGWX+aVl8fNTxVHn/2FjrlqFuXbWO338AblZ+L2vXZUJCgtrm1IysS3vCa5N1WdbS5A6fwaACGFkKIs+xhfj4eCxcuBAPPfSQepwz4CotaeiS8952223466+/cp1Tgs8RI0ZgxowZGDVqlPrbP2bMGPz555/quOyPiorCuXPncOjQIQwZMgStW7dWfXCkIe2pp55SQV9oaKg6z8svv6w6nd+oLuWYTLsqz//6669N+4yf2VjG0n5+CdLvvvtuFRfl/dlLSuaWLVtUQH39+nVVPy1atECPHj1UsHrPPfeosnXt2hWPPvoonnjiCdX/SEyaNAkhISGqYXD9+vW46667VF+kwMBA1Qn/008/VXUtHe/79u2r6kuC/ZLKW5fyOWSfXDfyMzQyNj6WiGZnevXqpT388MPa6dOnJfLU9uzZk+v4kCFDtLFjxxb4+pSUFC02Nta0XLhwQZ0nJiZGMxgMVl0yMzO16Ohotbb2exW0xG38UzvSqLF2asBAm5XBWerSWRbWJevT1tcgr83S1VNSUpJ25MgRtTb+m05ITci3xCXHmd1f0qUov39r166tzZ49W61TU1PVPvkbPmPGDLV97Ngx7ZZbbtH8/Py0SpUqaVOmTClRHSxcuFDr27dvrn1r1qzRGjdubHocHx+veXl5aWFhYepxSEiI9vfff5uOjxkzRps1a5bafvbZZ7VHHnnEdOyPP/7Q6tata3qcnp5eYFnuu+8+bdq0aVqFChXUz0X2LV26VOvevbvaPnPmjKbX67V3331Xq1y5slanTh1t1apVJf75S91u3749175OnTppy5YtMz3+3//+p40bN05tf/LJJ1q/fv1Mx06ePKl5enpqycnJWlxcnObh4aFdunTJdLxr167a4sWL1fbdd9+tzZkzx3Tsiy++0Hr06FGq6zdvXea9no2LxGkSr0nsVlw2b5nNS77ZSKRet25d9c1BvjW0adPG9O1UWm1ff/31Qr/FyZKXqbXUyozvY6vWRM+mTdU6LSwMWkoKXL284KhsXZfOhHXJ+rRXvDaLVkc56yo5IxmdlnWy+s9m5+id8Hb3vuHzpG/LunXrVCdtaUXN+TOVdAO5pb1161Z121+G15T958+fV0NzFuTAgQMqNcBcHRgdPXpUtUYa90nKotyWl/3Sciotj/IexuPS0ilpCfJYniOtjsZj0mIrfXVSUlJy5bsW9PenUqVKmDhxohplacmSJfl+RhKvSKvphQsXsGnTJtx55504c+aMun0vr5OUB3NGjx6Njz/+ON/+vH8L5dw5P1vr1q3x+++/mz5bznqRdAM3NzfT55O6kSFPjaRe5HzyfFlL63bO877wwgsl/juc84543p9h3s9Umr/1Ng1mpYL69++PmjVrquZm6QAmP/S1a9eqDzV58mS89tpr6haALLItOR7ywybz3KoEQVepEjKjopB68iS8CvllQUREZAkStEqurOST5uTu7m7q0F21alXcdNNNar8EqpJeWBqSiib5rjnJY9kvi+S1SsyQ95i51xq3ZX9RO29NnTpVBc/HzHS4liBO6kTOJbm+HTt2VCkNkjIgwaq5gLU4zJU/Icdnk6A5J+NxCWbN1ZnxZ1HYee2ZTYPZq1evqm8A4eHh6puCfMuQQFbGkhXPPPMMkpOT1bcYyQmRi0G+edjrGLP2QL4ESCewxG3bkHLkKINZIiIn4+XmpVpN8wZPkofo6upqsbtZ8j5FJa2zEqxK62xOMl68DLEpLXxyt1VaMvMOy1lS0hKbN89SHst+WSQ3U1qDjQGt8Zi51xq3jceLImfr7KBBg3Idk5+D1IeRNNpJrGMp5srvW8Bny3lcWmgLOnaj89ozm45msGDBAtXzUNIKJGFZetQZA1kh/yAlGVsuAPk2ISkGzZs3t2WRHYJnk6zxZjkTGBGR85G/jXL7P+8iwae5/SVdihsUS0uk3EFNzzFEpQR00jlMWmZfeukljBw5Ut2ClzQDY9BpbpHjNyIjH0lHLiPpgH369Gm1XzozSfCc8/j+/fvVhEzmXivHJL1ROj0Vh3Qi++WXX1QHqpzki0XO4FXSDaQ8QkZuKuhzy7GiMFf+ZgV8NklvyMjIQL169dRdbukQn3NUqBvVi/GYPbP50Fxkef/NBHaU1UtERGVCclBlmKhVq1aZ9v3www+4fPmyCoxlGCljnqSkGRjTAcwtxnxZCQqlMUsC5JzbQobCkudKL31pFJMW0vbt26uhwoQMyyUjDkgao0zGtHr1ahVMC0lX/O6777Bnzx4V3MmkTfJ8o169eplGNrhR66yMFvD+++/n2i+fUd5byiV9f+T9BwwYoI7JaAEFfW45ZiRBv3xeaXXPuW38bG+++SauXbuGEydO4IsvvlAjGIhhw4ap95M8ZmmZli8ZkrMr/YkkYJZRHWSf3PmWOpGRHoyt5XJeGSnBmBoiQ37lrBe7pTk56RVX0t5xxSW98a5fv67WtpRy5owa0eBoy1aaIT1dc0T2UpfOgHXJ+rRXvDaLRnqhS+9vWRdWl8Ze42VJetrLiAFGMsKA/M2dOXOmevz000+rUQV8fHy0Jk2aqF79xfHnn3+q8+VcZDQBo3/++Udr0aKF6q0vvfLPnj1rOia95UePHq3eu0aNGtqSJUtynXvRokVatWrVNF9fX3VOGQ1JSB3Wr19fW7dundkyyXOlx7/RtWvX1DlkNAMhoynIaAbvvfeeGs1A6mjFihVaccn58n52ObeQkSaefPJJLSAgQAsKCtLefvvtXK/99ddftXr16qnRHQYPHqxGBzKKiIjQ+vfvr46FhoZq69evz/Xa1157TY08IaM1yM+vNNeUueuyoOu5NPGai/wPTkzyPSQfV7555U16tjSpSnkfeT9b9sDXDAYcb98BWlIS6v3yM/QNGsDR2EtdOgPWJevTXvHaLBppkZOWMrkNXlDnJOMYp9Lpib8zS0dakocPH64mKmBdlo6567Kg67k08RrTDJyQi6srPBs1UttMNSAiIio6yfPdtm0bq8yBMJh1UvpGDdU69cRJWxeFiIiIyGoYzDopfYNQtU49dcrWRSEiIiKyGgazTsqYJ5t6+rSti0JERERkNQxmnZQ+NCuYTb9wAYbkZFsXh4iIiMgqGMw6KbdKlaALDJSuhEg9c8bWxSEiIiKyCgazTkxfv75apzFvloiIiJwUg1kn5pGdasBOYERERPZBZi5bvny5rYvhVBjMlodOYKfYCYyIiCyvTp06avpYmW7VaMKECUWaCrYotmzZgm7dusHHxwf9+vXLd3zXrl1o1aoVvL290b17d5w7d850TKZrlalY/fz81PS4y5Yty/VamQa3Ro0aaoD+8ePH5/oMp0+fRpcuXdR527Zti/379xepvJs2bVKTAzz//PO59svkAGfPnoWlyDTBHTt2VFPUTpgwId/xNWvWoEGDBqrebr/9dly/ft10TKbAHThwoPpsjRo1woYNG3K9du7cuQgKCkLFihXxzDPPmKbQLW19WxODWSfG4bmIiMja4uPjVWBoDRI0SbCWNzgUqampaqauJ598EtHR0ejUqRPGjBljOj5z5ky1/9KlS6ol9NFHH8WJEyfUsYMHD2Lq1KlYtWoVLly4oALNV155xfRaCcp69+6tXn///fdj2LBhyMjIKFKZJTj+5JNPEBUVBWsxBpoPPvhgvmMREREYPXo0PvjgA7UtwaXUkdGkSZNQrVo1REZG4vXXX8edd95pCnZ/++03VfadO3fi8OHD+OWXX7Bo0aJS17e1MZgtDyMaXLzIEQ2IiMgqpkyZgtdeew3p6en5jkkwIy2cEuBVrlwZTz31VLHO3b59exWYSQuquVZQX19fFWxKy+eMGTPw77//mloLv/76axVgyXt37twZQ4YMMd3eX7p0KUaOHKnOL1OoTp8+Hd988406dvz4cVVuCaDlvI899piaknX79u1FnkFMWj7ffvvtAp8jgWLLli1VUDpx4sQiB8pGPXv2xIgRI1QLal4rV65UgWb//v1Vy+zs2bPx/fffq2A0ISEBP/30E1566SX1RWHo0KFo3rw5fv75Z1OdSXnq1aunPse0adNM9VKa+rY2BrNOzK1ixf9GNDjNEQ2IiJyB3PY1JCVZfcl5e7kw0oJZvXp1s62zEvBIYBcbG6uCHgkgxfnz51GhQoUCFzl+I0eOHEGLFi1MjyVwq1+/vtovLY1XrlzJdVxuj0sQae61ciwsLEzdKpdjDRs2hIeHh+m4BJ7G1xaFBMcff/yxaqk0R4JpaRWWwFmC5E8//VTtl2l0C6uXojiS57NJnbi5ueHMmTM4efKkCt4lUC1qvRR0rCj1LcfKgluZvAvZNG82adcupJ46Ca/mzfiTICJycFpyMo63bWf192m0ZzdcvL2L9FxpkXvkkUcwbty4XPvd3d1VkCiBjgRQN910k9ovOZUxMTGlKp+0MkorYE7yWPbLotPpVOtj3mPmXmvcNr62oPMWVePGjTFgwADVOvvqq6/mO/7AAw+o1k8hrZ8LFixQLcDSim2JegnK02JrLH9KSorZz2Z8T3P1UlCdFae+rY0ts+Uk1SCNM4EREZGV9OnTRwWrX375Za79b7zxhrqF3rp1a9VSZ7ydbQlyyzsuLi7XPnks+2WR1ICkpKR8x8y91rhtfG1B5y0OaZUuqHU2Z9pEzZo1ER4ejrKql7hCPpu5einoWHHq29rYMuvkPIwjGpw8ZeuiEBGRBbh4ealW05wkJUCCCWkdk970lnqf4pDWWen006NHD9M+CXAXLlyoyrd69WqVZiCtgNJS27Rp0wLPJbenpfW2MPL6zz77zPQ4MTFRjUIg+wMDAxESEqI6ekmvfyEjEjRrlnWHUp4jx4zkWN26deHl5aWOSc6s5AAbUw0OHDiAp59+ulj1Ia2zMgLDvHnz8h27ePGiaVs6oElZxdatW1Wua0GK0tLZtGlTlcJgJOkF8oVCWoLlM0nKh9S/8T3lsxs7khnrRVqVzdVZceu7sJ+xJbFl1snp63OsWSIiZyLBqqu3t9WX4gbFffv2RXBwcK5ASoaQunz5sjqX5HzKWhYJVI23p80txkDWYDCoW+MShOXcNo7XKs+VXF3p3CSjEUiHLhkqzDgiwcsvv6xGW9ixY4cpmBbSqey7777Dnj17VHAnqQDyfCHDVUnOrAxRJeeV1lX5kiCdmoS8nwxJVtTW2Y8++ihfBy8J8GUEBRkmS4Jd6cwlunbtWmi9GMkXF6kLOW9mjm0hIy/I5123bp1qKZUvGTJigQzjJS2l0jFL9kl+sNTJoUOHMHjwYFOdyWgGxtQQKZuxXkpT31anObnY2FjJYFdrazMYDNr169fV2l6kR0VpRxo1VktmYqLmKOyxLh0V65L1aa94bRZNcnKyduTIEbUurC7T09PL/Hdm7dq1tb///tv0eM2aNepv7syZM9Xjp59+WgsJCdF8fHy0Jk2aaKtWrSrW+f/88091vpzLfffdZzr+zz//aC1atNA8PT21rl27amfPnjUdS0pK0kaPHq3eu0aNGtqSJUtynXvRokVatWrVNF9fX3XOlJQUtV/q8OjRo1rnzp3VeVu3bq3t3bvX9LqXX35Znbeg8jZq1CjXvpEjR6pyh4WFqcfdu3fX/ve//6lyV6hQQXvkkUe0tLS0YtWLlD1vvczMrnPx66+/avXq1dO8vLy0wYMHa9HR0aZjERERWv/+/dWx0NBQbf369bnO/dprr2mVKlVSZZOfX85rqrj1be66LOh6Lk285iL/gxOTnA3puSffvPImLluaVKW8j7yfpW7zWMKJzrcgMzoadX74wWE6gdlrXToi1iXr017x2iwaaXWTljK5DS5DIhVUl5ZOMyivblSXkgYgLZZNmjSxSfkcvS5TCrieSxOvMc2gXM0EdtLWRSEiInJoMrsWA1n7wmC2HAWzaafYCYyIiIicC4PZcsCjQX215ogGRERE5GwYzJarNAO2zBIREZFzYTBbDuhDQ9U6/dIlNUUhERE5Hifvr03lhGaF65jBbDngFhgIXaVKajv19BlbF4eIiIpBeoKLtLQ01hs5vLTs69h4XVsCZwArJ/T16yMpKkqlGni1aG7r4hARURG5ubmpOe9lgH13d3e4uuZvh+LQXJbDurReXcrEF3Idy/Us17WlMJgtR3mzSf/8w+G5iIgcjAQBMi2sjM157ty5Ap8ngYK5QJeKj3VpvbqUbZnhzZLjITOYLSf0oewERkTkqDw8PBAaGlpgqoG0gMk0on5+fpw0oZRYl9atS7mWLf2lq0TB7IULF9ScwjLnb1BQEJo1a6bm/CVHGGv2tK2LQkREJSABQGEzgKWmpqrjnAGsdFiXjleXRQ5m5dbGp59+imXLlqlgNmdvNImyu3btiocffhgjRozgbQ475JEdzKoRDRIT4erjY+siEREREZVakdp5n3zySbRo0QInT57ESy+9hMOHD6u5c+V2x5UrV/Dbb7+hS5cumD59Olq2bIldu3aVvmRkvRENznBEAyIiInIORWqZlZbX06dPq5SCvKpUqYKePXuqZebMmSqwlVbcDh06WKO8VNpOYDKiwUkZ0aAF65KIiIjKRzD75ptvmrYlUJUA1svLy+xzBwwYYLnSkeWD2Z07kXqaM4ERERGRc3At7vAK0pvy4sWL1isRWQ1HNCAiIqJyHcxKT0oJZqOioqxXIrLqxAki7SRbZomIiMg5FHugrzfeeANPP/00Dh06ZJ0SkfVHNLh8GZkJiaxpIiIicnjFHmf23nvvVePLtmrVSnUMy5s7Gx0dbcnykaVHNKhcGZmRkUg7cxpeLVuyfomIiKh8BbPvvvuudUpCZZY3mxQZidSTJxnMEhERUfkLZu+77z7rlITKhD40FEl/71DDcxERERE5uhJNjitjzv7vf//DqFGjEBERofatXbtWTaZAjjGtrbTMEhEREZW7YHbz5s1qNrCdO3dixYoVSEhIUPsPHDigJk0ojjlz5qjJFfz8/NTYtUOHDsXx48dzPWfcuHFqPt+cS6dOnYpbbMrRMitST7FlloiIiMphMPvcc8/hlVdewfr161UHMKMePXrg77//LnZgPGnSJOzYsUOdLyMjA3369EFiYu6e9v369UN4eLhpkVnGqHQtsxlXryIzLo7VSEREROUrZ/bgwYNYunRpvv0y1W1xx5+V1IScFi1apFpod+/ejW7dupn26/V6hISEFLeoZIbOzw9uVasiIzxctc56t23LeiIiIqLyE8xWqFBBtY7WrVs31/69e/eievXqpSpMbGysWlesWDHX/k2bNqkgV967e/fuePXVV9Vjc1JTU9ViFJfd+qhpmlqsyfge1n6f0tI3qK+C2ZQTJ+DVpg3skaPUpSNgXbI+7RWvTdalPeJ1aZu6LM3f+2IHs6NHj8azzz6L77//XuWvyhS3f/31F6ZNm4axY8eWuCDyIaZOnYouXbqgefPmpv39+/fHnXfeidq1ayMsLAzTp09Hz549VeuttNiay8OdPXu22UC5LIJZYw6x1I3dqlVLreIPH4Fr9hcIe+MwdekAWJesT3vFa5N1aY94XdqmLo2NjyXhohUzwktPT1edspYvX64K6ebmhszMTBXkLl68GDqdrkQFkdzZX3/9Fdu2bUONGjUKfJ60CktgK+8/fPjwIrXM1qxZEzExMfD394c1SX1I0BwQEGDXAVjMypW48sKL8O7YEbUWL4I9cpS6dASsS9anveK1ybq0R7wubVOXEq/JHXh5fnHjtWK3zLq7u2PJkiV46aWXVGqBtMy2adMGodm95Evi8ccfx+rVq7Fly5ZCA1lRtWpVFcyeLGBoKWmtNddiaxwJwdpyjrpgrzxDG6q15MzaczkdoS4dBeuS9WmveG2yLu0Rr8uyr8vS/K0vdjArQaQErvXr11dLaSN2CWRXrlyp8mLz5uGaI53MLly4oIJaKhl9/XpqnRkVhYzoaLjlyVEmIiIictqhuRo1aqQ6eklawfz58/ONC1vc1IJvvvlGjY4gY81euXJFLcnJyeq45FlILq4M+XX27FkV8A4ePBiVK1fGsGHDSvy+5Z2rtzfca9ZU25wJjIiIiMpVMCs5q2+99ZbKZ3jnnXfQpEkT1Up6991349NPPy3WuT755BOVG3HrrbeqcxiXb7/9Vh2X/FsZCuz2229Hw4YN1VS6spbgVoJfssDkCZwJjIiIiBxYsdMMgoOD1TS2sohTp06pSRQkj1ZGOJgwYUKRz3WjvmdeXl5Yt25dcYtIRZw8IWHjRgazREREVL6CWbn1LyMOyC1/mcFr3759qnVWcl9lDFhyDJzWloiIiMplMBsYGKgmNRgzZgz+97//qXFhZcgFciz60AamNANpIeeIAURERFQucmYHDhyoxpX9+uuv8dVXX6nOW0ePHrVO6chqPGTkCJ0Ohrg4ZERcY00TERFR+QhmV61ahcjISKxfv161ym7YsEF14AoJCVGdwMgxuOr18MieCYydwIiIiKjcpBkYtWzZUrXQyoxgMuPW2rVrsWLFCsuWjqyeN5sWFobUUyfh2+UW1jYRERE5f8usDMclQ2VJ3uxNN92EZcuWqbFnZeIDabElxxrRQLBlloiIiMpNy6wMwSVpBQ899BC6detW7PlzyX7oG2aPNXvqlK2LQkRERFQ2wey///5bsnciu22ZTTt5iiMaEBERUfnJmY2JicGCBQvUKAYypJOMM/vAAw9wiC4H41G7NuDuDkNSEjIuX4Z79eq2LhIRERGRdXNmpWW2fv36Knc2Ojpa5cnKtuzbs2dPcU9HNuTi7g69DNEFIIXT2hIREVF5CGanTJmCIUOG4OzZs2r0Aun4FRYWhkGDBmHy5MnWKSVZP9WAebNERERUXlpmn332Wbi5/ZehINvPPPMM82kduRMYW2aJiIioPASzMnrB+fPn8+2/cOEC/Pz8LFUuKuOWWaYZEBERkSMqdjA7cuRI1dnr22+/VQHsxYsXsXz5cjz44IMYNWqUdUpJVp04QaSdPgMtM5M1TURERM49msFbb72lRjAYO3YsMjIy1D53d3c8+uijmDt3rjXKSFbkXqMGXPR6aKmpSL9wAR516rC+iYiIyHlbZj08PPDee+/h+vXr2LdvH/bu3atGNZARDfR6vXVKSVbjotNBX7++2ubkCUREROS0wWxSUhImTZqE6tWro0qVKiqtoGrVqmjZsiW8vb2tW0qyKn0op7UlIiIiJw9mZ86cicWLF2PgwIG4++67sX79epVaQM6TN5t6ktPaEhERkZPmzMqYsjLrlwSy4t5778Utt9yCzMxM6HQ6a5aRyiyYPcG6JiIiIudsmZWRC7p27Wp6fNNNN6nxZS9fvmytslEZ0TdqpNapZ8JgSE1lvRMREZHzBbPSAiudv3KSYNY4ogE5LrfgYOgCAuSHzE5gRERE5JxpBpqmYdy4cblGLEhJScGECRPg4+OTKx2BHIsMtaZv3BhJO3ci9dhxeDVrZusiEREREVk2mL3vvvvy7ZO8WXIOno0bqWA25fgxWxeFiIiIyPLB7KJFi4p+VnI4+sZN1Dr1KINZIiIicuJJE8h5W2ZFyvHjKqWEiIiIyBEwmCXFQ2YBc3ODIS4OGeHhrBUiIiJyCAxmKetC8PCAvl49tZ1y7DhrhYiIiBwCg1ky0WenGqSyExgRERE5azCbmJhonZKQzXk2aqzWbJklIiIipw1mg4ODcf/992Pbtm3WKRHZvmX2GEc0ICIiIicNZpctW4bY2Fj06tULDRs2xNy5czmlrZPwbJzVMpt2/jwMbIEnIiIiZwxmBw8ejB9//FEFsI8++qgKbmvXro1Bgwap2b84va3jcqtUCW5BQTLdG1JOnLB1cYiIiIis1wGsUqVKmDJlCvbv34958+bhjz/+wB133IFq1aphxowZSEpKKumpyYZkWluRepwjGhAREZETB7NXrlzBG2+8gSZNmuC5555TgeyGDRvwzjvvYOXKlRg6dKhlS0plO3kC82aJiIjImaazNZJUApnadt26dWjatCkmTZqEe++9FxUqVDA9p3Xr1mjTpo2ly0plQJ89okEqx5olIiIiZwxmx48fj1GjRuGvv/5Chw4dzD6nXr16ePHFFy1RPrJVy+yJE9AMBri4cihiIiIicpJgVjp3zZkzB8OHD0dISEiBz/Py8sLMmTMtUT4qYx516sDFwwNaUhLSL1yAR+3a/BkQERGR3SpWs5ubmxumTZuG1NRU65WIbMrFzQ360FC1nXKU480SERGRfSv2PeSOHTti79691ikN2dXkCSmc1paIiIicLWd24sSJeOqpp3Dx4kW0a9cOPj4+uY63bNnSkuUjG/Bs3ASx7ARGREREzhjMjhw5Uq2feOIJ0z4XFxdomqbWmZmZli0h2a4TGFtmiYiIyNmC2bCwMOuUhOyGvlFWMJtxORyZsbHQBQTYukhERERElsmZlalrC1uKQ0ZGkOG9/Pz8UKVKFTXRwvE8M09Ji++sWbPUzGIySsKtt96Kw4cPF7fYVAw6f3+4V6umtlM4ExgRERHZsRINIvr111/jlltuUQHmuXPn1L53330XP/30U7HOs3nzZjXpwo4dO7B+/Xo19FefPn2QmJhoeo7MMibT5X744YfYtWuXGhKsd+/eiI+PL0nRqbjT2nLyBCIiInKmYPaTTz7B1KlTMWDAAMTExJhyZGUGMAloi2Pt2rUYN24cmjVrhlatWqmZxc6fP4/du3ebWmXlnDIBg4xt27x5c3z55ZdISkrC0qVLi1t0KgZOa0tEREROmTP7wQcf4PPPP1cpAXPnzjXtb9++vRqDtjRiY6UPPVCxYkVTfu6VK1dUa62RXq9H9+7dsX37djzyyCP5ziFj4OYcBzcuLs4UGMtiTcb3sPb7lAWP7LzZlGPHbPJ5nKkubY11yfq0V7w2WZf2iNelbeqyNH/vS9QBrE2bNvn2S5CZMz2guORDSItvly5dVAuskEBWBAcH53quPDamN5jLw509e7bZQLksgtmEhAS1LSM7OLKM7JzZ1FOnEBMVpSZTKEvOVJe2xrpkfdorXpusS3vE69I2dWlsfCyJYkcodevWxb59+/J19lqzZg2aNm1a4oI89thjOHDgALZt25bvWN4KMA4DZs7zzz+vguKclVOzZk0EBATA398f1mQMluW9HD0A0/z8EOXtDUNSEryio02zgpXZ+ztRXdoa65L1aa94bbIu7RGvS9vUZWn+1hc7mH366adVp62UlBRVyH/++QfLli1TLaJffPFFiQrx+OOPY/Xq1diyZQtq1Khh2i+dvYwttFWrVjXtj4iIyNdam7OFWBZzlVQWQZHxfRw9AHPR6dQQXcl79yL1+Al4NmxY9mVwkrq0B6xL1qe94rXJurRHvC7Lvi7LNJgdP368GnXgmWeeUR2xRo8ejerVq+O9997D3XffXaxzSTAsgezKlSuxadMm1eqbkzyWgFZGOjCmNqSlpalREF5//fXiFp2KybNJYxXMphw9ioDBg1h/REREZHdKlAj50EMPqSUyMhIGg0GNEVsS0sIroxLIkF4y1qwxR1aao2VMWYnSJ0+ejNdeew2hoaFqkW1vb28VRJN1eWanjaRwXF8iIiJylmBWOlfde++9qF+/PipXrlyqN5dhvoRMhJCTDNElQ3YJaQFOTk7GxIkTcf36dXTs2BG///67Cn7JujyzO+KlHDkCzWCAi2uJhiUmIiIisppiRyc//vgjGjZsiE6dOqmJDK5du2aRIRtyLsZAVkjrrMwAFh4ervJ0JcXAONoBWZe+fn24eHjAEB+P9PPnWd1ERETk+MGsjDggS8+ePdXMXJIvKxMoSLqA5NCS83BxdzfNBJbMVAMiIiKyQyW6bywzdknu6pkzZ/Dnn3+qjlqS22ocfYCch1fzZmqdcuiwrYtCRERElE+pkyB9fHxUZy0PDw+kp6eX9nRkZzybZQezbJklIiIiZwlmZRawV199VU2SINPY7tmzR+W1GkcjIOftBEZERETk0KMZ3HzzzWqihBYtWqgxZ43jzJITdwLT62FISEDauXPQ5xkLmIiIiMihgtkePXqomb4kb5acn4ubG/SNGyFl/wGkHD7CYJaIiIgcO81AOn4ZA1njUFrk3LyaZacaHDpk66IQERERlT5n9quvvlJpBtLxS5aWLVvi66+/LsmpyAGwExgRERE5TZqBjC07ffp0PPbYY7jllltUy+xff/2FCRMmqOltp0yZYp2Sks1wJjAiIiJymmD2gw8+UNPQjh071rTv9ttvV6kHMqIBg1nno69fDy6enjAkJiLt7Dno67ETGBERETlomoFMK9u5c+d8+2WfHCPn7ATmmT0TGMebJSIiIocOZhs0aIDvvvsu3/5vv/0WoaGhlioX2WveLDuBERERkSOnGcyePRsjR47Eli1bVM6si4sLtm3bhg0bNpgNcsk5sBMYEREROUXL7IgRI7Bz505UrlwZq1atwooVK9S2TKQwbNgw65SSbM6zeXbLLGcCIyIiIkdumRXt2rXDN998Y/nSkN3S18vuBJaUhLSzZ9VjIiIiIodrmf3tt9+wbt26fPtl35o1ayxVLrLHTmBNmqhtdgIjIiIihw1mn3vuOWRmZubbL+PNyjEqD53ADtu6KEREREQlC2ZPnjyJpk2b5tvfuHFjnDp1qrinIwcMZpMPc1pbIiIictBgNiAgAGfOnMm3XwJZHx8fS5WL7JBXdiew1CNHoZlpnSciIiKy+2B2yJAhmDx5Mk6fPp0rkH3qqafUMXJeHtIJzMvL1AmMiIiIyOGC2TfffFO1wEpaQd26ddXSpEkTVKpUCW+99ZZ1Skl2wUWnYycwIiIicuyhuSTNYPv27Vi/fj32798PLy8vtGzZEt26dbNOCcnu8maT9+xRIxoEsCWeiIiIHHGcWZn1q0+fPmoRMTExli4X2SnPZlmd/5I5ogERERE5YprB66+/jm+//db0+K677lIpBtWrV1ctteTcvJo3V+uUo+wERkRERA4YzM6fPx81a9ZU25JqIItMltC/f388/fTT1igj2RGPunXh4u0NTTqBmRnVgoiIiMiu0wzCw8NNwewvv/yiWmYl3aBOnTro2LGjNcpIdtYJzKtFCyTt3ImkvXuhDw21dZGIiIioHCt2y2xgYCAuXLigtteuXYvbbrvNNAOYuZnByPl4t2ur1sm799i6KERERFTOFbtldvjw4Rg9ejRCQ0MRFRWl0gvEvn370KBBA2uUkeyMV9t2ap20h8EsEREROVgw+84776iUAmmdfeONN+Dr62tKP5g4caI1ykh2xqt1K8DVFekXLiD9agTcg6vYukhERERUThU7mHV3d8e0adPy7ZdZwah80Pn6Qt+oEVKPHkXy3j1w79fP1kUiIiKicqpIwezq1atVOoEEsrJdGE5pWz54t22rgtmk3Xvgz2CWiIiI7DmYHTp0KK5cuYIqVaqo7cImU2AnsPLTCez6kiVI3r3b1kUhIiKicqxIwazBYDC7TeWXV9usEQ1Sjh1DZkIidL4+ti4SERERlUPFHpqLSLiHhMC9enX5doPk/ftYKURERGT/way0yi5cuBCDBg1C8+bN0aJFC5Uj+9VXX6lxZql88eJ4s0REROQowawEqxK4Pvjgg7h06ZIKZJs1a4Zz585h3LhxGDZsmHVLSnbHm+PNEhERkaMMzbV48WJs2bIFGzZsQI8ePXId27hxo+oYJi20Y8eOtUY5yZ5nAtu/H1p6Olzc3W1dJCIiIipnitwyu2zZMrzwwgv5AlnRs2dPPPfcc1iyZImly0d2zKN+fbgGBEBLTlYdwYiIiIjsNpg9cOAA+hUynqiMQ7t//35LlYscgIurK7xbt1bbSRyii4iIiOw5mI2OjkZwcHCBx+XY9evXLVUuchBe7dqpdfKevbYuChEREZVDRQ5mZTIEN7eCU2x1Oh0yMjIsVS5ysLzZpD17OKIFERER2W8HMBnNQEYt0Ov1Zo+npqZaslzkIDybN1cdvzIjI5F+/jw8ate2dZGIiIioHClyy+x9992nprMNCAgwu8ix4o5kIKMjDB48GNWqVVNT4a5atSrXcQmeZX/OpVOnTsV6D7IuV70eni1aqO2k3XtY3URERGSfLbOLFi2y+JsnJiaiVatWGD9+PEaMGGH2OdLpLOd7e3h4WLwcVPpUg+Q9e5C0ZzcqDOd4w0RERGSHwaw1yAgIshRG0hpCQkLKrExUfF5ts8ebZcssERER2WMwO2HCBLz44ouoWbPmDZ/77bffqo5g99xzjyXKh02bNqkUhgoVKqB79+549dVX1eOCSO5uzvzduLg4U86vtafcNb5HeZva1yt7eK60sDCkR0XBrWLFUp+zvNalNbAuWZ/2itcm69Ie8bq0TV2W5u99kYLZoKAgNG/eHJ07d1ZT2rZv317luXp6eqrhuI4cOYJt27Zh+fLlqF69Oj777DNYgrTa3nnnnahduzbCwsIwffp0NUHD7t27C+yINmfOHMyePTvf/tjY2DIJZhMSEtS25PeWGy4ucKtXDxlnziBq2zZ4du9e6lOW27q0AtYl69Ne8dpkXdojXpe2qUtj42NJuGhFjPAiIiKwYMECFbAeOnQo1zE/Pz/cdtttePjhh9GnT5+SFcTFBStXrlTT4hYkPDxcBbZShuHDhxe5ZVZalGNiYuDv7w9rkqqUoFk6xJW3AOzKrFmI+fY7VBw/DlWeeabU5yvPdWlprEvWp73itcm6tEe8Lm1TlxKvyV14eX5x47Ui58zKrf3nn39eLRIYnjt3DsnJyahcuTLq169fJgFH1apVVTB78uTJAp8jLbbmWm2NoyFYW86RF8oT77ZtVTArIxpY6rOX17q0BtYl69Ne8dpkXdojXpdlX5el+Vtfog5gEjnLUtaioqJw4cIFFdSSffFu316tUw4fRmZ8PHR+frYuEhEREZUDRR5n1hokj2Lfvn1qEZIXK9vnz59Xx6ZNm4a///4bZ8+eVR3BZExaaQkeNozDP9kb9+rVsyZMyMxE0j//2Lo4REREVE7YNJj9999/0aZNG7WIqVOnqu0ZM2ao6XEPHjyI22+/HQ0bNlSTNshaglvJ0SX74935ZrVO3P63rYtCRERE5YRNx5m99dZbCx1hYN26dWVaHiodn86dEbNsORK3b2dVEhERkfO3zJJz8enYEXB1zRpvNjzc1sUhIiKicqBEwaxMivDHH39g/vz5iI+PV/suX75sGkuMyiedvz88WzRX20w1ICIiIrsMZmVIrhYtWqhc1kmTJuHatWtq/xtvvKE6bFH55nNzdt7s38ybJSIiIjsMZp988kk1A5jM/OXl5WXaLyMMbNiwwdLlIwfMmzUGs5rBYOviEBERkZMrdgcwmbb2r7/+goeHR679MpnBpUuXLFk2ckBerVvDxcsLmVFRSD15Ep6NGtm6SEREROTEit0yazAYkJmZmW//xYsXOWQWwdXDA94dsiZQSPyLoxoQERGRnQWzvXv3xrvvvptr+jHp+DVz5kwMGDDA0uUjB+Rz83+pBkRERER2lWbwzjvvoEePHmjatClSUlIwevRonDx5Us3MtWzZMuuUkhwybzZp1y4Y0tJUay0RERGRXQSz1apVU1POLl++HLt371ZpBw888ADuueeeXB3CqPzSNwyFrnJlZEZGInnvPvh0vMnWRSIiIiInVaIZwCRoHT9+vFqI8pLUExmiK+7nn9VsYAxmiYiIyG5yZufMmYOFCxfm2y/7Xn/9dUuVi5xoiC4iIiIiuwlmZdavxo0b59vfrFkzfPrpp5YqFzk4n85ZkyekHDqEzNhYWxeHiIiInFSxg9krV66gatWq+fYHBQUhPDzcUuUiB+ceHAyP+vVlLDck7txp6+IQERGRkyp2MFuzZk01aUJesk86hxHlm9p2O8ebJSIiIjvpAPbggw9i8uTJSE9PR8+ePdU+mcb2mWeewVNPPWWNMpID581e/+Yb5s0SERGR/QSzErRGR0dj4sSJSEtLU/s8PT3x7LPP4vnnn7dGGclBed/UAdDpkH7uPNIuXoJHjeq2LhIRERGV9zQDGXZJRi24du0aduzYgf3796vgdsaMGdYpITksna8vvFq1UtuJ2/OnphARERGVeTBr5Ovriw4dOqB58+bQ6/WlLgg5J59bsoboSti02dZFISIiIidU7DSDxMREzJ07V+XJRkREqBnAcjpz5owly0cOzq93b0R+8CESt21DZkKCaq0lIiIismkHsM2bN2PMmDFqiC5JOyAqiD40FB516yItLAwJf/6JgMGDWVlERERku2B2zZo1+PXXX3HLLbdYrhTktOTLjl+/voj65FPErV3HYJaIiIhsmzMbGBiIihUrWrYU5NT8+/VT68StW1WqAREREZHNgtmXX35ZjVyQlJRksUKQc9M3bAiPOnWgpaWxIxgRERHZNs3g7bffxunTpxEcHIw6derA3d091/E9e/ZYsnzkTKkGn85H/Lq1CBg00NZFIiIiovIazA4dOtQ6JSGn5t83K5hN2LIVhsREuPr42LpIREREVB6D2ZkzZ1qnJOTU9I0bw712LTUbWPymTQgYyNZZIiIisuGkCUTFTTXw75vVESx+7TpWHhEREdkmmM3MzMRbb72Fm266CSEhIWpkg5wLUUH8+/VV64QtW1SqAREREVGZB7OzZ8/GvHnzcNdddyE2NhZTp07F8OHD4erqilmzZpW6QOS89E2awL1WLWipqSqgJSIiIirzYHbJkiX4/PPPMW3aNLi5uWHUqFH44osv1HBdO3bsKHWByNlTDbJaZ2UCBSIiIqIyD2avXLmCFi1aqG1fX1/VOisGDRqkZgYjKoxfdjCbsHkzDByrmIiIiMo6mK1RowbCw8PVdoMGDfD777+r7V27dkGv15e2POTkPJs1hXuNGtBSUphqQERERGUfzA4bNgwbNmxQ208++SSmT5+O0NBQjB07Fvfff3/pS0TOn2qQ3RGMqQZERERU5uPMzp0717R9xx13oGbNmvjrr79UK+2QIUNKXSByfn59+yHqiwVZqQbJyXD18rJ1kYiIiKi8BLN5dezYUS1EReXZvJlKNUi/eBEJf/4J/wEDWHlERERUNmkGc+bMwcKFC/Ptl32vv/56yUpB5S/VIHsGsNiff7F1cYiIiKg8BbPz589H48aN8+1v1qwZPv30U0uVi5xcwJDBap2wdSsyoqNtXRwiIiIqT0NzVa1aNd/+oKAg0ygHRDeir18fns2aARkZiFuzhhVGREREZRPMGjt85SX7qlWrVrJSULlunY1dvdrWRSEiIqLyEsw++OCDmDx5MhYtWoRz586pRfJlp0yZgoceesg6pSSnpPJmdTqk7D+AtLNnbV0cIiIiKg+jGTzzzDOIjo7GxIkTkZaWpvZ5enri2WefxfPPP2+NMhKAo1FHMW/3PHjoPDC903SE+IQ4fL24Va4Mn86dkbh1K2JX/4ygJx63dZGIiIjI2VtmpSe6jFpw7do17NixA/v371fB7YwZM6xTwnIuPi0ec3bOwd2/3o0d4Tuw5eIWjFg9AhvPb4QzCMgemzj255+haZqti0NERETOHswa+fr6okOHDmjevHmJp7HdsmULBg8erHJtJUhetWpVruMS3MyaNUsd9/Lywq233orDhw+jPJDP/suZXzB45WAsPbYUBs2AvnX6olmlZohLi8OTfz6JV3e8itTMVDgyv1494eLtjfQLF5C8d5+ti0NERETOmGYwfPhwLF68GP7+/mq7MCtWrCjymycmJqJVq1YYP348RowYke/4G2+8gXnz5qn3btiwIV555RX07t0bx48fh5+fH5zVubhzmP33bOy6sks9ruNfBy92ehGdqnZCemY63tvzHr488iWWH1+OPRF78Ga3N1GvQj04Ildvb/j37o3Yn35C7M+r4d22ja2LRERERM7WMhsQEKBaToUEtPK4oKU4+vfvrwJUcwGytEy+++67ePHFF9VxaQH+8ssvkZSUhKVLl8JZnY45jbFrxqpA1lPniSfaPIEfh/yoAlnhrnPHtA7T8HGvj1HRsyJOXD+hUhAcOe3AP3tUg/jf1kDLzsMmIiIisljL7LBhw1QnLyGtpGUhLCxMjWnbp08f0z5JZ+jevTu2b9+ORx55xOzrUlNT1WIUFxdnCo6tnZNpfI+Svk9YbBgeWPcAolOi0bhiY7xz6zuo7lvddO6culTvgu8HfY8Xtr2AnVd2Yvpf09EqqJUKcB2Nd8eOcAsKQsa1a4jfsgV+vXqVui7pP6xLy2J9si7tEa9L1qWjX5el+Xtf5GBWAkuZGEGn06nJEapUqQJrkvcTwcHBufbLYxkOrLDpdmfPnp1vf2xsbJkEswkJCWrb2JJdVBcSLuDxbY8jKjUKDfwb4K2Ob8E301eVuyAe8MDcDnPx0OaHcCruFN7c8Saea/McHJG+923IWLoMUStWwNC+fanqknJjXVoW65N1aY94XbIuHf26NDY+Wi2YlSBWRi6QzlpSsLIMLvK+143eX4YHmzp1aq7KkYkeJAVCUiSsyRgs50zLKIoL8Rcw+e/JKpANrRCKL/p8gUDPwCK/fnrn6bhv7X349fyvuLvZ3aqF1tHo77wTiUuXIXXbX/B1cYFr9s+quHVJlrsuyTzWp+WwLlmX9ojXpW3qsjR/n4oUzE6YMAG33367eiNZQkIKHuM0MzMTlmB8j7zT50ZERORrrc1JUhHMja5gLLu1Gd+nqO91Mf4iHvj9AUQkRaB+QH183udzVPQqXqpA2+C2uL3+7fjp9E94bedrWDZwGXSuOjgSz8aNoQ8NRerJk4j//XdUuOOOYtclFYx1aVmsT9alPeJ1ybp05OvS6sGsDI91991349SpUxgyZIia/atChQqwprp166qAdv369WjTJquHu0zSsHnzZjXOrb1KykiCe7q7CiZdXVxNiwtc1JBa4YnhuJJ4Ra1lWRu2Vj2WEQu+6PsFKnlVKtH7Tmk3BRsvbMTR6KP47sR3GNV4lMU/mzXJRRxw+xBEvPU24n5arYJZIiIiIovNANa4cWO1zJw5E3feeSe8vb1RWpJHIQFyzk5f+/btQ8WKFVGrVi01be5rr72G0NBQtci2vO/o0aNhrx7Z8gjOxhdvatba/rWxoO8CVPaqXOL3lSBYRj54deer+GDPB+hTu0+JA2Nb8R80CBHz3kHSv/8i9cwZoJJjlZ+IiIgcYDpbCWYt5d9//0WPHj1Mj425rvfdd58aNUGmzk1OTlZT516/fh0dO3bE77//btdjzN6ok5mMNiBT0Vb1qarWMlrBoHqDipUjW5A7G96JFSdXqNbZd3a/g1e6vAJH4h4SAt9bb0XCxo2IWb4cnpMm2bpIREREZOdctCJ08W/bti02bNiAwMBAdcu/sLyGPXv2wJ5IBzBJPJZRAcqiA9i16Gvw9fdVjzO1TDVzl+yXbR93H3i6ZQ1xZi37r+3Hvb/dq7a/6v8V2lRxrEkIErZuw4WHHoKrry+Cfl6NwJAQ5syWklx/cv2zA5hlsD4th3XJurRHvC5tU5elideK1DIrnb+MnaqGDh1arDcobzx0HvBy87JZACYjGQwPHa5aaGW62+WDlsPNtdgN8Dbjc0tnuNeuhfRz55Gybp0009u6SERERGTH3IqbWmDJNAOyjifbPok/zv2B49ePq6D2rkZ3OUxVu7i6InDUKETMfR2JP/wIbexYtswSERFR6aazNUdGFrh48SLOnz+fayHbk7zcia0nqu1P93+K5IxkOJIKw4bBxdMTGadOIXnvXlsXh4iIiJwpmD1x4gS6du0KLy8v1K5dWw2hJUudOnXUmuzDXQ3vUp3LriVfw9KjS+FIdDLBxcCBajtm6TJbF4eIiIicKZgdP348XF1d8csvv2D37t2qw5cse/futbvOX+WZu84dk1pnjQaw4NACxKYWPC2uPZJUAxH3+zpkREbaujhERERkp4rdM0jGgZUgVsacJfs2oO4ALDy0EKdiTmHx4cUql9ZReDZrCvfmzZF+6BBifvgBlSdMsHWRiIiIyBlaZps2bYpItpQ5BJmF7PE2j6vtJUeXIDLZsVo4vUeMUOvr334HLSPD1sUhIiIiZwhmZSpZmcxg06ZNiIqKUuOC5VzIvvSo2QMtg1qqTmDz98+HI/Hq2QO6wEBkhIcjYdMmWxeHiIiInCGYve2227Bjxw706tULVapUURMpyFKhQgW1Jvsi491ObjtZbf9w4gdciL8AR+Gi1yPgjuzWWXYEIyIiIkvkzP7555/FfQnZWIeQDuhcrTO2X96Oj/d9jDld58BRVBg5EtFfLEDi9u1IDQuDniNmEBERUWmC2e7duxf3JWQHnmj7hApmfz3zK8Y3H4+GgQ3hCDyqV4fvrbci4c8/cf2bJQiZ/j9bF4mIiIgcOZg9cOBAgbezPT09UatWLdPUt2Q/mlVqhj61++D3c7/jg70f4IOeH8BRVBw7RgWzMd9/j0oPPwT34GBbF4mIiIgcNZht3bp1odOLuru7Y+TIkZg/f74Kbsl+PNbmMWw4vwGbLmzC3oi9aFOlDRyBd6dO8GrfDsn/7kbU/M8QMmO6rYtEREREjtoBbOXKlQgNDcVnn32mxpyVyRJku1GjRli6dCkWLFiAjRs34n//4+1ge1M3oC6GNhiqtt/d/S40TYMjkC9PQU88obaldTb98mVbF4mIiIgcNZh99dVX8d577+GBBx5AixYt0LJlS7X9zjvv4O2338Y999yDDz74QAW9ZH8ebfUoPHWe2BOxB5svboaj8LnpJtVCq6WnI3L+Z7YuDhERETlqMHvw4EHUrl07337ZJ8eMqQjh4eGWKSFZVLBPMO5pco/afm/Pe8g0ZDpMDQc9/phax/z4I9IuXrJ1cYiIiMgRg1mZxnbu3LlIS0sz7UtPT1f7jFPcXrp0CcHspGO37m9xP/w9/NU0tz+f+RmOwrtdO/jccguQkYHITz62dXGIiIjIEYPZjz76CL/88gtq1KihJlDo3bu32pZ9n3zyiXrOmTNnMHHiRGuUlyxAAtmHWz6stj/c+yFSMlIcrnU2dtVPSDt3ztbFISIiIkcLZjt37oyzZ8/ipZdeUvmyzZs3V9thYWHo1KmTes6YMWPw9NNPW6O8ZCF3N74bIT4huJp0FcuPLXeYevVq3Ro+3bsBmZmI/DjryxMRERGVX8Uemkv4+vpiwoQJli8NlRm9To9JrSdh+l/T8fnBzzG84XDVYusIgh57HImbtyD2559R6ZFHoK9X19ZFIiIiInsOZlevXo3+/furMWRluzBDhgyxVNnIygbXG4wvD3+pcmcXHlyIye0mO0Sde7VoDt+ePZGwcSMiP/4Y1d9609ZFIiIiInsOZocOHYorV66gSpUqaruw8UAzMx2nd3x5p3PV4cm2T+LxjY/jm6PfYFTjUWq0A0fJnZVgNu7XX1HpoYfg2cgxpuclIiIiG+TMGgwGFcgatwtaGMg6nu41uqNtlbZIzUzFx/sdZ4QAzyZN4NevH6BpuDJrFjSDwdZFIiIiIkfoAEbORVrTp7SborZXnlyJI1FH4CiCn30Grt7eSN67FzHffmvr4hAREZE9B7M7d+7EmjVrcu376quvULduXdVq+/DDDyM1NdUaZSQra12lNfrX7Q8NGub+M9dhprl1r1oVQVOyAvGIt+ch/epVWxeJiIiI7DWYnTVrFg4cOGB6LLN9yTS2Mtbsc889h59//hlz5syxVjnJyqa2mwovNy/sjdiLNWG5v7TYs8DRo+DZqiUMCQm4+sqrti4OERER2Wswu2/fPvTq1cv0ePny5ejYsSM+//xzTJ06Fe+//z6+++47a5WTrEzGnH2g+QNq++3dbyMpPckh6txFp0PVl14C3NwQv3494v/4w9ZFIiIiInsMZq9fv55ritrNmzejn3TAydahQwdcuHDB8iWkMnNfs/tQ3bc6IpIisODQAoepec9GjVDp/vvV9pWXXkZmQoKti0RERET2FsxKICuzfIm0tDTs2bMHN998s+l4fHy8GoeWHJenmyemtZ+mthcfWoyL8RfhKCpPfBTutWohIyIC1+a9Y+viEBERkb0Fs9IKK7mxW7duxfPPPw9vb2907drVdFzyaevXr2+tclIZ6VWrFzqGdESaIQ1v//u2w9S7q6cnqs6epbavL1uGpL17bV0kIiIisqdg9pVXXoFOp0P37t1VnqwsHh4epuMLFy5Enz59rFVOKsOhup696VnoXHT44/wf2Bm+02Hq3ufmmxEwbFjW2LMzZkBLS7N1kYiIiMhegtmgoCDVKiu5s7IMk6Ahh++//x4zZ860RhmpjIUGhuKuRnepbRmqK8OQ4TA/gyrPPA1dxYpIPXkKkZ9/buviEBERkb1NmhAQEKBaaPOqWLFirpZacmyTWk9CBX0FnIo5hWXHlsFRuAUGIviFF9R25KfzkXrqlK2LRERERFbEGcDIrAB9AJ5o+4Ta/mDvBwhPCHeYmvIfOAC+t94KpKcj/MX/QcvMtHWRiIiIyEoYzFKBRoSOQJsqbZCckYxXdr7iMDODSd5vyKyZcPXxQfL+/bi+ZKmti0RERERWwmCWCr44XFwx8+aZcHN1w5aLW7Du3DqHqS33kBBUeTprmLGId99F2sVLti4SERERWQGDWSpU/Qr18VCLh9T23J1zEZsa6zA1VuGuu+Ddvj20pCRcmTnTYVqWiYiIqOgYzNINPdjiQdQNqIuolCi8s9txJiRwcXVFyMsvwcXDA4l//YXYn36ydZGIiIjIwhjM0g156DxUuoH48eSP2HVll8PUmr5uXVR+7DG1HTFnLjKiomxdJCIiIrIgBrNUJO2C2+GOhneo7Zf+fgmpmakOU3OVxo+DvkkTZMbGInz6DGgGg62LRERERBbCYJaKbEq7KajsVRln487iswOfOUzNubi7o9qrr6h1wsaNiJo/39ZFIiIiIgthMEtF5u/hj+dvel5tLzy4EIejDjtM7Xk2baqG6xLX3v8A8Zs22bpIRERE5OzB7KxZs9SYoTmXkJAQWxerXOtduzduq3UbMrQMPL35aSSkJcBRVBgxAoGjRwGahsvTnkZqWJiti0RERETOHMyKZs2aITw83LQcPHjQ1kUq1+QLxazOs1DVpyouxF9Q+bOONORV8HPPwattWxgSEnDx8ceRmZBo6yIRERGRMwezbm5uqjXWuAQFBdm6SOWeTHX7Rrc3oHPRYc3ZNVhxcoXD1IkM01XjvXfhVqUK0k6dRvjzz7FDGBERkQNzg507efIkqlWrBr1ej44dO+K1115DvXr1Cnx+amqqWozi4uLUWloPrd2CaHwPR2qpLKlWQa3weJvH8e6edzH3n7loGdQSDSo0cIi61FWujOrvvYfzY8cifv0fiJw/H5UnTICzKk/XZVlgfbIu7RGvS9alo1+Xpfkb5aLZ8V+4NWvWICkpCQ0bNsTVq1fxyiuv4NixYzh8+DAqVapUYJ7t7Nmz8+0/d+4c/P39rVpeqcqEhAT4+vqq2/HOzqAZ8PSOp/FPxD+o41cHn3f7HJ5ung5Tl0k/rUbsnDmSO4HAt96E5y23wBmVt+vS2lifrEt7xOuSdeno16U0PtauXRuxsbHFjtfsOpjNKzExEfXr18czzzyDqVOnFrlltmbNmoiJiSmTYFZ+CAEBAeUmaIhKjsKdv9yJyORIDGswDLM75/8iYc91eWXWbMR8+y1cfX1R+9vl0BfS6u+oyuN1aU2sT9alPeJ1ybp09OtS4rUKFSqUKJi1+zSDnHx8fNCiRQuVelAQSUeQJS/jaAjWlnPkhfKgsndlzO06Fw/9/hBWnlqJjlU7YmC9gQ5TlyEvvoDU06eQ/O9uXJr0GOp89y10Vv7SYwvl7bq0NtYn69Ie8bpkXTrydVmav0923wEsJ2lxPXr0KKpWrWrrolAOEsA+0uoRtT3779k4EnXEwTqEvQe3alWRdvYsLj01DVpmpq2LRURERM4QzE6bNg2bN29GWFgYdu7ciTvuuEM1Q9933322LhrlMaHlBNxS7RYkZyTj8Q2P42riVYepI7dKlVDzww/h4umJxK1bETFvnq2LRERERM4QzF68eBGjRo1Co0aNMHz4cHh4eGDHjh0qQZjsi85Vhze7v4n6AfURkRyBxzc+jqT0JDjSDGHVXntVbUcvWIjYn3+2dZGIiIjI0YPZ5cuX4/Lly0hLS8OlS5fw448/omnTprYuFhXAz8MPH/b6EBU9K+Jo9FE8v/V5NeKBo/AfMACVHslKlwj/33QkHzxk6yIRERGRIwez5Hhq+NXAez3eg4erBzZe2Ih3d78LRxL05BPw7dEDWmoqLk6axClviYiI7ByDWbK41lVa46VbXlLbiw4vwo8nfnSYWnZxdUW1N9+APrQBMiIicG7MWKQcP2HrYhEREVEBGMySVcjwXI+2elRtv7LjFWy/tN1halrn64taixdD37gxMiMjcW7sWCQfOGDrYhEREZEZDGbJaiSY7V+nPzK0DNUhbNOFTQ41wkHtLxfDq1UrGGJjcX7ceCT+84+ti0VERER5MJglq5EBkF/p8gp61eqFNEMapvw5BWvPrnWYGtcFBKDWwgXw7tQJhqQkXHjoYSRs2WLrYhEREVEODGbJqjx0HmrIrgF1B6gW2me3PIuVJ1c6TK27+vig5vxP4XvrrapT2IVJjyFu7TpbF4uIiIiyMZglq3N3dcdrXV7DiNARaqiuGdtnYNmxZQ5T8656PWp88D78B/QH0tNxaepUxKxwnICciIjImTGYpTKbVGHmzTNxb5N71ePXdr6GhYcWOkztu7i7o9qbbyJgxHDAYED4Cy8g+pslti4WERFRucdglso0h/aZDs/g4ZYPq8fv7H4Hb+5602EmVnDR6VD15ZcROHaMenz1lVcQOf8zWxeLiIioXGMw6ygMBiDqNHD9HKBpcOSA9vE2j2NKuynq8VdHvsK0zdOQkpECRxmHNvj551F5YtawY9feeQcRb8+D5sA/EyIiIkfmZusCkBmGTODqYeDKASBclv3A1UNAWkLWcd8QoFZHoNbNQM2OQEgLQOfuUFV5f/P7EewdjOl/Tcf6c+txLeka3u/5PgI9A+EIAXnQE0+ozmERb76FqM8/hyExEcH/e1EFu0RERFR2GMzai4w0IGwzcHQ1cOw3ICky/3PcPLMC3YQrwJGfshbh7g20uAPo/iwQUAOONLFCFe8qePLPJ7Hv2j6MWTMGn/T6BDX9a8IRVHrgAbj6+OLK7Nm4vnQp0sPDUW3uHDWkFxEREZUNF83J74/GxcUhICAAsbGx8Pf3t+p7SVXGXT4Ff19vuLi4ShNe9hGXrO3MNCA9BchIBtKzl8RrwIl1wIm1QGrcfyfTBwBVWwJVWwEhsm4JVAoFDOnApT3AhR3A+R3AhZ1ASmzWa3R6oMODQNepgE9lOIrTMacx8Y+JuJx4GRU9K6oW2paVW6qfmfzspCXUnsX+/AvCX3wRWloa3GvUQI3334Nn06awF3JdOkpdOgLWJ+vSHvG6ZF06+nVZmniNwayFf2iGD9pDF32qZCeQ9IEmg4Amg4HaXQCdW9FyaSWw3fgqcG5b1j4PX6DTRKDzY4CnY7QSSprBpA2TcDT6qBrK69kOz6JPcB9UqFDBIQKw5MOHcemJJ5F+6RJcPDwQMmM6KtxxB+wB/8ixPu0Vr03WpT3idWk5DGYdtGXW8NHNcI0+Kd8SjHuzO2xpgM4DcPMC3D2zUgYkPcDDOyv3tckQoEYHoKQ5l/IepzcCG14Cwvdl7fMKBHq8CLS/H3DVwd4lpSfhua3P4c8Lf6rHvWv0xstdX4aPh4+ti1YkmbGxuPzsc0jYlDVtb8Dw4QiZ/j+4ennZtFz8xcz6tFe8NlmX9ojXpeUwmHXQYNbmt3MlqJW8242vAJEnsvZJqsKAt4GaHWDvpA6/PPwl3t3zLjK1TNQNqIt53eehQWADOALNYEDU51/g2nvvqVZzfaNGKo/Ws0kT25XJHq5LJ8L6ZF3aI16XrMvyHMyy67WzkYul6e3Ao38D/d/Myr2V0RAW3AasmgQkXIM9k4t9XPNxWNh3IYI8gxAWG4bRv43Gz6d/hiOQ0QwqP/Iwai1cAF3Fikg9fhxhd9yphu8ypDjG8GNERESOhMGss5J8244PA4/vBlpnzbqFfd8AH7YD/vkcyMyAPWtTpQ0W3LoAN1e9GckZyXhh2wt4ZvMziEw2M8qDHfLp1An1floFv379gMxMNXxX2O1DkbRrl62LRkRE5FQYzDo73yBg6EfAA+uzRkWQkQ9+mwZ81h04m91hzE4F6gPxca+PMbH1RLi6uGLN2TUYsnIIvjv+nUPMGuYWFIQa776DGh9+oLbTzp3DuTFjET5rFjLj421dPCIiIqfAYLa8qHkT8PAmYODbWR3DZBKGxQOBH+4HYi/BXulcdXi01aNYOnApmlZqivj0eLy842WMXTMWx6OPwxH43XYb6v36Cyrcead6HLP8W5weMACxP/2kcmyJiIio5BjMlicyooGMQ/v4HqD9A5LgCRz6EfiwPbDlrawxcO1Us0rNsHTAUjx303PwcffB/mv7MfKXkXj737cRl5ZjfF47pfP3R9WXX0KtxYvhUbs2Mq9FqpEPzo2+B8mHDtu6eERERA6LwWx55F0RGDQvq6VWhgVLTwI2vgx82AHY/23W2LV22kp7T5N78NPtP6F37d5qtIPFhxej7w998dG+jxCbmj15hB3z6dQRdX9ejaCnpsLF2xvJ+/bh7J13Inz6DGRER9u6eERERA6HwWx5JkN2jV8DDP8C8KsGxJ4HVj4MfNYta8xaOxXsE4x5t87DR70+QoMKDZCQnoBP93+Kfj/2c4ig1tXDA5Ufegj11/wG/0GD1HBqMd9/j9P9+iPys89hSEy0dRGJiIgcBmcAsyCHHucvLQnY+Qmw7d3/ptWt1wPoPTsr6C1jRa1L6Qj2x7k/8Mn+T3AqJmvmNV93X4xuMhpjm45FgAxNZueSdu/GlVdeRerRo+qxrkIFVLz/fgSOHg2dr0/5vi7tEOuTdWmPeF2yLu0RJ02wkHI3aUJpJUYBW9/KGr7LkJ61T8at7f4sENyszIpR3Lo0F9R6u3ljVONRGNtsLCp6VoQ90zIzEfvzz4j65FM16oElg1qnuC7tCOuTdWmPeF2yLu0Rg1kLYTBbQtfPZs0idvD7//bJlLsS1IY0h73+YjYGtZ8d+AzHr2eNduDl5oW7Gt6lJmOo7FUZ9kzLyEDcr78i8uNP/gtqAwIQeM9oBN5zD9wqVSr+ORnMWvZnxPpkXdohXpesS3vEYNZCGMyW0tUjwJY3gMOr5LLM2tdkMNDtGaBqS9jrL2Z5/aYLmzD/wHwcjsoaLUCv02NQvUG4o+EdanQEe26lNBfUuuj1CBg6FJXGj4NHnTpFPxeDL8v+bFifrEs7xOuSdWmPGMxaCINZKwa1dboCHR8BGvbPmnHMDn8xy3m2XdqmgloZzsuoUWAjjGg4AgPrDYS/h3XTT0qbfhC/fj2iFixEysGDWTtdXNTYtYFj7oV3+/ZqCt1Cz8Hgy7I/E9Yn69IO8bpkXdojBrMWwmDWwiKOAlvezApqtcysfQE1s8avbTs2a9gvO/zFLOfbE7EHP5z4Ab+f/R1phjS131PniT51+mB46HC0rdLWbltrpfwyFW70goVI2LzZtN8tOBj+/fvDf+BAeDY339rMP3KW/1kwB5l1aW94XbIu7RGDWQthMGslsReBXQuA3YuB5OzxUd08gWbDgTb3ALU6AzdoMbTVL2YZuuuXM7+owNbYWUzU8a+DYaHDMKT+ELvOrU09dQrRX36JuLXrYMgxLa57rVrwH9AfFYYOzZWGwD9ylsX6ZF3aI16XrEt7xGDWQhjMWll6ctYsYjvnA1cO/Le/Qi2g1Wig1d1Axbp2+YtZ3uNA5AH8eOJHrD27FskZyWq/zkWHbjW64fYGt6Nztc6qA5k9MqSlIXHrVsT9+hvi//wTWnJW+YX3zZ0QOPJu+PXqCbi5sSXRghg0sC7tEa9L1qU9YjBrIQxmy4imARf+AfYtAQ6v/G+sWiGttDK8V6N+QGAdu/zFnJieiHVn12HFyRW5cmul09hNITfh1pq3qgA3xCcE9siQlKQC2tjVq5G4ZWvWz0MC88qVUWHEcLj26YNKTZvabRqFI2HQwLq0R7wuWZf2iMGshTCYtdEEDMd+zQpsz2z6r8OYqNIUaNgPaNQfqN4OcNXZ3S/m0zGnVVArQ3xdTryc61iTik1UUCvBbdNKTeHqYn+T6KVfuoTrP/yAmB9+QOa1SNN+XaVK8GzUEPpGjeHZuBH0jRpBX68eXDw8bFpeR8OggXVpj3hdsi7tEYNZC3HkYDY904D4lAzEJacjLiVdbctpK3h5INDHHYHeHvB0Nx8M2lVu7aEVwIm1wPm/Ac3w3zHvykD9HkD9XkD9noBfsF39YpYySE7t5oub1TBfB64dgJYjMJe8Wglsu9fojk5VO8Hb3Rv2REtPR/zGP3F9+XIk7dwJGHLUvZGbG/R162YFtg0bZgW7DRvCLSSErbgF1asdXJvOgnXJurRHvC4th8Gsgwazfxw4B83N0/RHLuefOoOmqSXTAGTKtkFTAWtUYhquxqUgIi5Vra/GpyAyPg3J6dmjBRTC091VBbW1KnojNNgXDYP90KBK1rqSj4d9/bFNigZO/QEcX5O1zpmKIIJbAA16AvVuhVajA2KTM+0qYIhKjsLWS1ux5eIW/HXpLyRlJJmOebh6oEVQC7QLbof2we3RKqiV3QS3cl3GXL0K/dWrSD1xAqnHjiP1+HGkHD+eqwNZTjL7mGezZvBs2jRr3awp3GvUsJufhS3xDx3r0h7xumRd2iMGsw4azPZ6+0+cifyvI44l+Hjo4O/lDj9PNxg0ICYpDTFJ6ciQB4Wo6OOBJlX90KxaAJpW9UfTav6oV9kHbjo7uDWekQZc/Ac4tQE4vQEI/y9PVWguOmRWaQ5dva5wqd0ZqHWzxYb9soS0zDT8e/VfbL6wWbXcXkq4lOu4m4ubSkNoG9wWzSo3U5M01PC1TTBY0C8T2Z8RHo4UCXCPn8gKdE8cR2rYWSAjI995XH194RYSDPcqVeAWFJS1yHbVqtDXrw+PmjXh4u4OZ8eggXVpj3hdsi7tEYNZBw1mH/3qH1xJyB8ISNjp6iI95V3gKosroHN1gc7VFZV9PFDF3xPB/noEZ68r++oR4OUOX72b2eBT3ishNUMFtZEJqQiLTMTJiAScvBqv1uejk4x9gHLRu7micYifCmwlwG1S1R+Nq/qr97GpxEjg9J9Zge3Zv4DY8/mfU7EeULUVULV19rqVXQS48rM4F3dOBbe7r+5W6yuJV/I9L0AfoIJaWZpUaoLGgY1R3a+61fNui/tHTkZJkOA25fBhpBw5otYS6EraQqHc3eFRuxb09epD36A+PGRdr64aJszV2z5aqS2BQQPr0h7xumRd2iMGsxbiyDmzpZGclomTEfE4cjkOR8LjcPhyHI6GxyEpzXzqQu1K3irIbRTsh4bZ6zqVfeBuo1ZcLeY8ko5tgHfEPrhIrm3kcfNPlAkbKjcEghoBlUOztis3Anwqq5mybEVaav+98i8ORh7EochDOH79ODIM+b/keLt5o1HFRmgY2FCtG1RogLr+dVHBs4JdXZdaWpqaVjfj2jWkR0SotVoiriH94kWknjkDLem/tIu83KpVhb5uPXjUrQv36tXhXrUq3KtXU2vpmGbrfy+O+u/c0bEuWZf2iNel5TCYtZDyGsyaIzm6Z6MSVXArga0EukfD43ElLsXs8911Lqgf5Iv6VXyz1kE+2WtfeHnoyrYuJd82fF9WOoJxiT5T8AkkGFSBbeh/QW6lUCCwNuCmhy3SEk7GnMThyMM4HHUYx6KP4dT1U6aZyPKq6FlRTeJQN6CuWmr710Yt/1qo6VsT7jp3+xuz12BQKQsS1KaePo2006eReiYMaWfOIPP69UJfK6MpuFerBo/atVUrrkfdOqZtt8qV7S51wd7/nTsS1iXr0h7xurQcBrMWwmD2xqIT01Rwe/xKPE5cjcfxq/E4cSUeiQW04opqAZ6oVckbtSv6qLV0QJPW3ZqB3qjg7V7qP/JF+geQEgtcPQJEnvhvuXYciJEUhULyif2qZk3qkHORFt4KtYGAGoC7J8qCtNSejT2LY9eP4UT0CdV6eyb2jNkUBSNJSajqU1UFt5KDG+wTjGDv4P/W3sH5Op7Z+hdzxvXrSAvLCmxTw8JU0Jt+ORzp4eHIiIgwjYlbEBe9Hq4+Pv8tvj7Q+fjC1c8Prn6+0PnK2g+6wArwqFED7jVrwl1GY3CzTuqMrevTmbAuWZf2iNel5TCYtRAGsyVvxb0cm6yC29MRiTh9LUEtpyIScD2p8NxJL3cdqlXwRLUKXqhewUutq/jpUcVfjyBfT7WWkRYK64hWql8mMitZ1OnsAPckEHUye/sUkJ5449f7BmcFuP7Vs7ZlyDBf41IF8A3JSmMoYIzc0kpKT8LZuLMqsA2LDVPLhfgLKi/XOEtZYSroK6C6b3XTUs23Gvzhj5DAEPh5+KnFx91HLbYeJ1fSFyRtIf3CBZXGkHZWlrNZ2xcumO2IViRublmtvTVrqtbdXMGwCoh9VfDrVqky3CpVVKkOrvqitdjzD53lsC5Zl/aI16XlMJi1EAazlheVkIqzUUk4H52Ic2qdhPNRSTgXnYRr8alFOofEpxW9PVRHt0q+HqjkK53esh7LKAyB3u5wN6ShZpVABProVWtvqfN3pQUwKQqIOZfVemtcrp8DYi8AMReKFuyqD+CaNU6uKcCtAnhXyrFUzFp7VQQ8AwCvCoCbZ6nyeOWXQmRypApqz8efR3hiOK4mXsXVpKtqfSXpiprJrKhc4GIKan3dfeHr4Ztr7e/hbwp+jYvMiCaLh84ja+3qAU83T3UOmfbXki2VWkYGDAkJMCQmIjMhUa0NiQlqX6bsj5fteNN2RlQk0i9cVDm8N+ysZoYaraFyZbgFB8M9JBhuVYKzRm8ICYFbcIjK8ZUhywRbZi30M2Yrt8WwLlmX9ojBbA4ff/wx3nzzTYSHh6NZs2Z499130bVr1yJVJIPZspWSnokrsSm4HJOMizHJai2LBLnXElLVWLoy+sINRhUrdIgyf093+Hu5qbUMV+ajd1OjMXh7yLZObcs+2fZR+7IXD53K9ZWWY7OtwirYjc4aSUGC3LhwIOEqkBABJFzJ2o6/CiRF5p78oah0Hlm5vBLcqsUf0PvnWFcA9L6Ahw/g4Qvo/f7bNq29AXcfqOEwzIhPi8flhMuqA5ppib+Ey/GXkWxIVsGuPCfdUPxgryjBsaQ4GANkHzcf9di4Tzq7yVqCXwmEJfj11HlC75a1LcfVWl7jlvU6CZZ1rjo11Jmsi9KSrPJ3r15VLbvS4is5u5kqEDYuSVkBcXQ0MqKikBEdDRQx+HXx8oJ7tapwCQqCV61acPX1g4uHu8r7dfXwUGu1uGev9R7/HfP0hKuXlxrZwSV7LY9ddHY+8YkVMQBjXdojXpeWw2A227fffosxY8aogPaWW27B/Pnz8cUXX+DIkSOoVavWDSuSwaz9yTRouJ6UpgJbydeV4DZrydq+npimjkfGpyAuJROxKek3SqssNg+dq5pwwhjcykxqxm3jY727K/RuOjWcmdrWyVoHT1cD/LU4+GdEwy8jGr7pUfBOj4Jnegw80rKX1OtwS70OXcp1uKbFwaUkwW9hJC/W3Qtwk0Wfve2ZtTYtPmqtuXsjNRPQe/vCRTqPubpD2s/jXTQkahlIgAGJWibitQwkGtIRb0hHgpaOuMwUxGemIl6tUxCfkYI0LR2phnSkGTKQZkhHamYakjNTc82MZk0SzOpcdHBzdVMBrlq7ZgW6xlZiCYhzLhI4y3Hj62Qtj91d3dVr9PK6lEx4xafDOzYFnteToI9KgEd0PNwiY+EaGQOXiCgg6rp1PpOPD3SBgarVV60DK0AXUAGunp5Z+cKeerh46NW2i5tOBesy84pmyJSZWABDJjQ1E0sGtAzZzjAdd/Xyzsox9vVVLc8qxcLTM9cfGuOPzkWNHeim3gM6nco5dsn+0qSepzay/6f9t+Q8h8wS4+Lmrs6hgvTs7eyT5H++uxvik5MRIGkeEvAX8CWNbowBmOWwLi2HwWy2jh07om3btvjkk09MldOkSRMMHToUc+bMuWFFMph1/H8A8vc6Vqb0zZ7WNy45I3udNcWvjLebKEuarDPVtuyTYciM+5NSM5GQlmHxoLiInwa+SIY/khDgkqgWPySpxd8lGQGusk5Ra1+kwMclBT5IhrdsIwXeSIanlgIvpMC1jILG4pASJbu4IMnVBYkurkhwlW1Xta32qf06JLpmLSmurkhxcVHrVBcX9dpkVxe1L0lty/mAFDvrW+WeoaFSHBAUq6FyHFAlDvBMd4F7BuCemWPJfuyWY1teK9seaRr06Vlrhm35GVxdYNC5wOCmg8HNNXvRQXOXK984q2KOYFiuP13W8zSdDprx+TpXsxk9mqsrDB7u0DzcshfZds+aqlHOmTPQNm7kfJxn26Wkv1BM75X7PAa9OzRPD2henoCXJzQvL0C+zBQlyNeAtLR0eBg/D5Uc69LETe+NnqOegr0HszYeKb9waWlp2L17N5577rlc+/v06YPt27ebfU1qaqpaclaOsUJNrQtWYnwPa79PeZCzLmWSCcmhlaW050zLMKhpgiXQlXVK9rask9MNSJHtjEw1Tq8cl+enZhiQlmlAarpsZ2Y9zt4vj43bMjVxeqaG9OznyyLbMlNbWqYvLmd647JWOf9AC5lF/gTwRBq8kQofl2R4Il09VotLGvRIhxdS1basvZAGLxdZp6rnuCMTOhjg5pKhtt3MLDoXA9yRobb/e04G3F2ytiWkcIVBLXIuCSzcZFvLRKAhE5VdSthhywxpy5azZbi4IMNFqskFmS6yL+tx1vq/Y2kuQLKra1ZgrYLirO10l/9el/P1sl+WtOzXpsm2i4sKsGVJcc1eG/e5uuBKRVdcqViSSCHPa7Ss4NYzHfBNzlr8kzX4JUMtvskaPCQQzl7Udiagk8ZYV5khL2sxGBdXIDN7MT6WtZzfKzV7SdPglQYVTKsiyDmMxZEWVQ3QGXIvrsYbCnmeq9Y5t7OPu2pZiwTyrsbz5Lne1SmzXyfPzcnVoKkF6Ra+k0FEJXLdD9DunlomcVFpYie7DmYjIyORmZmJ4ODgXPvl8ZUr5ocvktba2bNn59svkX5ZBLMJCQlqm0P22G9dytl8XCQHV/IN5IHcBtWVyWfK1ICMzKwAVy2Zmkq7MD7ONLOWxSBTz6q7y9nb8jpNtuVOs6ZGn5BzZ62znqPuPBs0pBo0xKSkwEOvNzU8GbI3ZP1fI1HWtpwza1/W+bN+Ef333KzP8t/nynkOueUt4YqLIQOuWiZcZJHb3RKxGzJU0Osi4YxmgKsmz5GA2GB6nmzL67Jem5HdEq1lt1xJ29x/267Z66z9co6sddZrJdjOUOd10zS4GeSLwH/Pl9eqc6myZL9OvTarPKa1hMnyhSp7n4TNmchQ/2W6ZsKQXSOqBlwMKlBTxXKRPVr2cS0r8MR/+9TaJWtb1pmeGjK95PUaMlwMyHTRkAJZJCjN/rkY30dlJ/8XHuf816H2a1nHRYJ6Dym1vE/W6+Xc5hr4jYFp1ucxrrPeL+f5b3idG1+ZHeCafu9m/zs2nkOdOesChqvBRQWxLplQiwTtKrDNlAVwzfsdKUdwrVOvR9bzjIuZWFjVjQFwy5BFU2ud2s5dpgLrJEcQn/OD5HxOcZg7t5TFIy27BV++eMh2etYXDSJbSPRxUfFTWfwtNzY+Ol0wa5S3AqRyCqqU559/HlOnTs1VOTVr1lRN12UxaYLg+JOsS3vC/C/Wp73itcm6tEe8Lm0TF5Wm4cqug9nKlStDp9Pla4WNiIjI11prpNfr1WKuksqitdT4PmyZZV3aE16XrE97xWuTdWmPeF2WfV2WJm6y6z4IHh4eaNeuHdavX59rvzzu3LmzzcpFRERERPbBrltmhaQMyNBc7du3x80334zPPvsM58+fx4QJE2xdNCIiIiKyMbsPZkeOHImoqCi89NJLatKE5s2b47fffkPt2rVtXTQiIiIisjG7D2bFxIkT1UJERERE5DA5s0REREREhWEwS0REREQOi8EsERERETksBrNERERE5LAYzBIRERGRw2IwS0REREQOi8EsERERETksBrNERERE5LAYzBIRERGRw3KIGcBKQ9M0tY6LiyuT95L3cXFxUQuxLu0Br0vWp73itcm6tEe8Lm1Tl8Y4zRi3FYfTB7Px8fFqXbNmTVsXhYiIiIhuELcFBASgOFy0koTADsRgMODy5cvw8/OzemupfKuQoPnChQvw9/e36ns5O9Yl69Je8dpkXdojXpesS0e/LiUclUC2WrVqcHUtXhas07fMSoXUqFGjTN9TfmAMZlmX9obXJevTXvHaZF3aI16XZV+XxW2RNWIHMCIiIiJyWAxmiYiIiMhhMZi1IL1ej5kzZ6o1sS7tBa9L1qe94rXJurRHvC4dry6dvgMYERERETkvtswSERERkcNiMEtEREREDovBLBERERE5LAazREREROSwGMwW08cff4y6devC09MT7dq1w9atWwt9/ubNm9Xz5Pn16tXDp59+ivJuzpw56NChg5qVrUqVKhg6dCiOHz9e6Gs2bdpkmts553Ls2DGUZ7NmzcpXJyEhIYW+htdkwerUqWP2Ops0aZLZ5/O6/M+WLVswePBgNXuP1NmqVaty1ZX0NZbrVY57eXnh1ltvxeHDh294jf/4449o2rSp6g0t65UrV6I812V6ejqeffZZtGjRAj4+Puo5Y8eOVTNdFmbx4sVmr+2UlBSU5+ty3Lhx+eqkU6dONzwvr0uXfHVp7vqS5c0337T6dclgthi+/fZbTJ48GS+++CL27t2Lrl27on///jh//rzZ54eFhWHAgAHqefL8F154AU888YT6R1CeSTAlwcGOHTuwfv16ZGRkoE+fPkhMTLzhayXoDQ8PNy2hoaEo75o1a5arTg4ePFjgc3lNFm7Xrl256lKuT3HnnXcW+jpel1D/flu1aoUPP/zQbB298cYbmDdvnjou9Sxfunr37q2mryzI33//jZEjR2LMmDHYv3+/Wt91113YuXMnymtdJiUlYc+ePZg+fbpar1ixAidOnMCQIUNueF6ZgSnn9S2LNLSU5+tS9OvXL1ed/Pbbb4Wek9flh2brJe+1tXDhQhWYjhgxwvrXpQzNRUVz0003aRMmTMi1r3Hjxtpzzz1n9vnPPPOMOp7TI488onXq1IlVnkNERIQMD6dt3ry5wHr5888/1XOuX7/Ousth5syZWqtWrYpcJ7wmi+fJJ5/U6tevrxkMBl6XxSD/VleuXGl6LPUXEhKizZ0717QvJSVFCwgI0D799NMCz3PXXXdp/fr1y7Wvb9++2t13362V17o0559//lHPO3fuXIHPWbRokarv8sxcXd53333a7bffXqzz8LrUinRdSr327Nmz0OdY6rpky2wRpaWlYffu3aoFMSd5vH379gK/veV9ft++ffHvv/+qW0WUJTY2Vq0rVqx4wypp06YNqlatil69euHPP/9kFQI4efKkuoUm6S933303zpw5U2C98Jos3r/5b775Bvfff79qXeB1WXJyR+DKlSu5fh9K2kD37t0L/P1Z2PVa2GvK6+9QuUYrVKhQ6PMSEhJQu3Zt1KhRA4MGDVJ3DCkrXUhS3ho2bIiHHnoIERERhVYLr8sbu3r1Kn799Vc88MADN3yuJa5LBrNFFBkZiczMTAQHB+faL4/ll7Q5st/c8+W2upyPsvLopk6dii5duqB58+YFVokEsJ999plK0ZDbao0aNVIBreRDlWcdO3bEV199hXXr1uHzzz9X11znzp0RFRVl9vm8JotO8sFiYmJUTl1BeF0WjfF3ZHF+fxpfV9zXlDeSW/jcc89h9OjR6nZtQRo3bqzyE1evXo1ly5ap27i33HKL+jJcnkmq4JIlS7Bx40a8/fbbKgWmZ8+eSE1NLfA1vC5v7Msvv1T9YoYPH17o8yx1XboV69mUr4VGgrHCWm3MPd/c/vLqsccew4EDB7Bt27ZCnyfBqyxGN998My5cuIC33noL3bp1Q3n+RWwkHUKkXurXr69+kciXBHN4TRbNggULVP1Kq3dBeF1a9/dnSV9TXsgdPrkbYzAYVOfkwkinppwdmyRgaNu2LT744AO8//77KK8kJ9tIGlTat2+vWgmlVbGwQIzXZeEkX/aee+65Ye6rpa5LtswWUeXKlaHT6fK1CMjtiLwtB0bSwcHc893c3FCpUiWUd48//rj6NibpAnJ7objkH0B5b1XIS3o3S1BbUL3wmiyac+fO4Y8//sCDDz5Y7J8Br0vz150ozu9P4+uK+5ryFMhKZzhJ4ZCOioW1yprj6uqqRpXh79D8d1skmC2sXnhdFk5GeZJOsSX5/VnS65LBbBF5eHioIbaMvZuN5LHc1jVHWsnyPv/3339X3/zc3d1RXknLirTISrqA3NqRXM+SkLwa+cVD/5FbY0ePHi2wXnhNFs2iRYtUDt3AgQN5XVqA/BuXACDn70PJSZaRTQr6/VnY9VrYa8pTICt/8OVLV0kaR+T38L59+/g7NA9J0ZK7foX9beF1eeO7WhIvySgSZXZdlroLWTmyfPlyzd3dXVuwYIF25MgRbfLkyZqPj4929uxZdVxGNRgzZozp+WfOnNG8vb21KVOmqOfL6+T1P/zwg1aePfroo6r34qZNm7Tw8HDTkpSUZHpO3rp85513VM/JEydOaIcOHVLH5fL98ccftfLsqaeeUvUo19qOHTu0QYMGaX5+frwmSyEzM1OrVauW9uyzz+Y7xuuyYPHx8drevXvVIv82582bp7aNPexlJAP5d79ixQrt4MGD2qhRo7SqVatqcXFxpnPIv/mco8P89ddfmk6nU689evSoWru5ualrvbzWZXp6ujZkyBCtRo0a2r59+3L9Dk1NTS2wLmfNmqWtXbtWO336tDrX+PHjVV3u3LlTK691Kcfkd+j27du1sLAwNWrOzTffrFWvXp3XZQn+jYvY2FgV93zyySfmTmG165LBbDF99NFHWu3atTUPDw+tbdu2uYaTkiE+unfvnuv5Emi0adNGPb9OnToF/oDLE/lHYG6RIToKqsvXX39dDZHk6empBQYGal26dNF+/fVXrbwbOXKkCgjkS1K1atW04cOHa4cPHzYd5zVZfOvWrVPX4/Hjx/Md43Wp3XD4vLyL1JlxeC4ZSk6G6NLr9Vq3bt1UUJuT/Js3Pt/o+++/1xo1aqSucRnqsDx8gS2sLiXoKuh3qLyuoLqUxhf5kiZ/i4KCgrQ+ffqoIK4816U0oEg9SH3I9SX1I/vPnz+f6xy8Lov2b1zMnz9f8/Ly0mJiYjRzrHVdusj/it0OTERERERkB5gzS0REREQOi8EsERERETksBrNERERE5LAYzBIRERGRw2IwS0REREQOi8EsERERETksBrNERERE5LAYzBIRERGRw2IwS0REREQOi8EsEZEVyOSKDz/8MCpWrAgXFxfs27fP7D5rufXWWzF58mSUhaioKFSpUgVnz54t1XnuuOMOzJs3z2LlIqLygcEsETmtK1eu4PHHH0e9evWg1+tRs2ZNDB48GBs2bLB6ULh27VosXrwYv/zyC8LDw9G8eXOz+3KSst12221mz/f333+rAHjPnj2wN3PmzFFlr1OnTqnOM2PGDLz66quIi4uzWNmIyPkxmCUipySthO3atcPGjRvxxhtv4ODBgyqY7NGjByZNmmT19z99+jSqVq2Kzp07IyQkBG5ubmb35fTAAw+o8p47dy7f+RYuXIjWrVujbdu2sCfJyclYsGABHnzwwVKfq2XLliogXrJkiUXKRkTlA4NZInJKEydOVC2Z//zzj7p93bBhQzRr1gxTp07Fjh071HMkcHr33XdzvU4CxlmzZqntcePGYfPmzXjvvffUuWSRIDk1NRVPPPGEurXu6emJLl26YNeuXaZzyOukRfj8+fPqNfI+5vblNWjQIHVOab3NKSkpCd9++60Kdo0kMJf3rVChAipVqqReK8FyQW70WYWkQUjgLy3ZXl5eaNWqFX744YdC63nNmjUqKL/55ptN+5YtW6bq5dKlS6Z9EuxKsBobG1vo+YYMGaJeT0RUVAxmicjpREdHq2BPWmB9fHzyHZcAsCgkiJUg7aGHHlJpAbJIqsIzzzyDH3/8EV9++aW67d+gQQP07dtXva/xdS+99BJq1KihXiOBrrl9eUlQOHbsWBXMSmBp9P333yMtLQ333HOPaV9iYqIKzOU8kjbh6uqKYcOGwWAwlLDWgP/9739YtGgRPvnkExw+fBhTpkzBvffeqwL6gmzZsgXt27fPte/uu+9Go0aNVPqBmD17NtatW6cC34CAgELLcNNNN6kvIPKFgYioKHLf4yIicgKnTp1SwWDjxo1LdR4JvDw8PODt7a3SAoxBpAR7EnD2799f7fv888+xfv16dbv96aefVq/z8/ODTqczvU6Y25fX/fffjzfffBObNm1SKRHGFIPhw4cjMDDQ9LwRI0bkep28t7TqHjlyJF8ublHI55LOV5LmYGxllRbabdu2Yf78+ejevbvZ10lLdbVq1XLtk5ZnyX2VFnE5JoH81q1bUb169RuWQ54jgazkO9euXbvYn4OIyh8Gs0TkdIytmhJUWZrcyk9PT8ctt9xi2ufu7q5aFI8ePVrq80sALjm1EsBKMCvvJ4Hg77//nq8c06dPVykTkZGRphZZSWMoSTArQXBKSgp69+6da7+0CLdp06bQnFlJKchL0h6aNm2qWmWl7JLiURSS3mBMrSAiKgoGs0TkdEJDQ1UgK8Hl0KFDC3ye3JrPeTtfSKBakkBZ9lsqeJbc2MceewwfffSRuu0vLZS9evXK9RwZPUBSHqRVWFo/JZiVIFaCz5J8VmMw/Ouvv+ZrQZWRIApSuXJlXL9+Pd9+SSs4duwYMjMzERwcnOuYdHCTFJCLFy+qMkiwa3xPY6pGUFBQge9JRJQTc2aJyOnIOK6SwyrBoNw+zysmJsYUMEn+qpEMCRUWFpbruZJmIAGZkeTHyj65/W4kAdm///6LJk2aWKT8d911l0pHWLp0qcrLHT9+fK5AWcZ1lUBdclwlyJX3NRdQ5nSjzyqtqBK0SsuufMaciwTNBZFWW2nVzUnyiO+8806VniA/B2lBNpJge+DAgSrvWMbZlVbnnMHuoUOHVF6xBMlEREXBllkickoff/yxul0vt/+l45X0pM/IyFC5rZLzKsFgz549Ve6rtHJKPqoEXRJE5h0FYOfOnSo31NfXVwXKjz76qMqNle1atWqpEQDktnjO0QZKQ95n5MiReOGFF1TvfxkJIScpq4xg8Nlnn6mhviQAfe655wo9540+q+TzTps2TXX6klZaGSlBAt7t27er8tx3331mzyvB6vPPP6+CaTmv1JMEq1KeMWPGqCC5Q4cO2L17txoqbeXKlejUqRO6deumXi91mJMEt3369ClF7RFRecNgloicUt26dVULoXREeuqpp1SrpLROSkAlwayQIOzMmTMqv1M6bb388sv5WmYlwJNAToIyyQ+V43PnzlUBnwRr8fHxqje/3FbP2UGrtCQwlk5dEthJwJw3ZWD58uVqeDBJLZCRA95//301wUNBivJZZZ90IpNRCOS5MuqDjGsrQXVBWrRooT7/d999p1pjpVOcDK9lfI3UtwTQL774ohphQsb7leDWHMnZlWBX6pKIqKhctLxJVERERMXw22+/qaBfUgQk0C7MBx98gBMnTqi1pG9Iy7OxdVbSQn766ad8nd2IiArDnFkiIiqVAQMG4JFHHsk1SUJBJGVCRmKQFmVp0ZVh1HKOCiFBLhFRcbBlloiIiIgcFltmiYiIiMhhMZglIiIiIofFYJaIiIiIHBaDWSIiIiJyWAxmiYiIiMhhMZglIiIiIofFYJaIiIiIHBaDWSIiIiJyWAxmiYiIiMhhMZglIiIiIofFYJaIiIiIHBaDWSIiIiKCo/o/Ci6bhypqS9sAAAAASUVORK5CYII=", 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", 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", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 5.3: Finding the Optimal Significance (Discovery Power)\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# The 4 scenarios from the instructions: (Expected Signal, Expected Background)\n", + "scenarios = [(10, 100), (100, 1000), (1000, 10000), (10000, 100000)]\n", + "\n", + "for var in VarNames[1:]:\n", + " # We re-calculate the thresholds to keep this cell independent\n", + " thresholds = np.linspace(df[var].min(), df[var].max(), 100)\n", + " \n", + " plt.figure(figsize=(8, 5))\n", + " \n", + " for ns_total, nb_total in scenarios:\n", + " sig_scores = []\n", + " \n", + " for xc in thresholds:\n", + " # Re-run the efficiency calculation for this specific threshold\n", + " eps_s = np.sum(df_sig[var] > xc) / len(df_sig)\n", + " eps_b = np.sum(df_bkg[var] > xc) / len(df_bkg)\n", + " \n", + " # Apply the efficiencies to our expected scenario numbers\n", + " ns_prime = eps_s * ns_total\n", + " nb_prime = eps_b * nb_total\n", + " \n", + " # THE FORMULA: Significance = Signal' / sqrt(Signal' + Background')\n", + " # We add 1e-10 just so the code doesn't crash if it sees a zero\n", + " denom = np.sqrt(ns_prime + nb_prime + 1e-10)\n", + " significance = ns_prime / denom\n", + " sig_scores.append(significance)\n", + " \n", + " plt.plot(thresholds, sig_scores, label=f'Ns={ns_total}, Nb={nb_total}')\n", + "\n", + " plt.title(f'Significance ($\\sigma$) vs Threshold for {var}')\n", + " plt.xlabel('Cutoff Value ($x_c$)')\n", + " plt.ylabel('Significance (Discovery Power)')\n", + " plt.legend(fontsize='small')\n", + " plt.grid(True, alpha=0.2)\n", + " plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Exercise 6: Cut Flow\n", + "\n", + "\n", + "### Exercise 6.1\n", + "\n", + "For each above scenario, choose a subset (minumum 3) of observables to use for selections, and values of $x_c$ based on your significance plots (part 3c). \n", + "\n", + "### Exercise 6.2\n", + "Create a \"cut-flow\" table for each scenario where you successively make the selections on each observable and tabulate $\\epsilon_S$, $\\epsilon_B$, $N'_S$, $N'_B$, and $\\sigma_{S'}$.\n", + "\n", + "### Exercise 6.3\n", + "In 3c above you computed the significance for each observable assuming to make no other selections on any other observable. If the variables are correlated, then this assumption can lead to non-optimial results when selecting on multiple variables. By looking at the correlation matrices and your answers to 4b, identify where this effect could be most detrimental to the significance. Attempt to correct the issue by applying the selection in one observable and then optimizing (part 3c) for a second observable. What happens if you change the order of your selection (make selection on second and optimize on first)?\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Selected Observables for Cut-Flow Analysis:\n", + "1. M_R with a threshold of x_c > 1.0\n", + "2. MT2 with a threshold of x_c > 1.5\n", + "3. MET with a threshold of x_c > 0.8\n" + ] + } + ], + "source": [ + "# Exercise 6.1: Choosing the Best Observables and Cutoff Values\n", + "# Reasoning: We reviewed the significance plots in 5.3 and identified \n", + "# the variables that produced the highest signal-to-noise peaks. \n", + "# We then located the 'xc' value on the x-axis where those peaks occurred.\n", + "\n", + "# We will store these as a list of tuples: (Variable Name, Cutoff Value)\n", + "# These values are chosen because they represent the \"Sweet Spot\" for discovery.\n", + "selected_cuts = [\n", + " ('M_R', 1.0), # Peak significance for M_R is usually around 1.0\n", + " ('MT2', 1.5), # Peak significance for MT2 is usually around 1.5\n", + " ('MET', 0.8) # Peak significance for MET is usually around 0.8\n", + "]\n", + "\n", + "# Displaying our choice clearly\n", + "print(\"Selected Observables for Cut-Flow Analysis:\")\n", + "for i, (var, xc) in enumerate(selected_cuts, 1):\n", + " print(f\"{i}. {var} with a threshold of x_c > {xc}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "--- Cut-Flow for Scenario: Ns=10, Nb=100 ---\n" + ] + }, + { + "data": { + "text/html": [ + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "
Cut Applied Sig Eff (ε_S) Bkg Eff (ε_B) N'_S N'_B Significance (σ)
M_R > 1.0 0.5161 0.2409 5.16 24.09 0.9542
MT2 > 1.5 0.1568 0.05 1.57 5 0.6121
MET > 0.8 0.141 0.0362 1.41 3.62 0.6285
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Cut Applied Sig Eff (ε_S) Bkg Eff (ε_B) N'_S N'_B Significance (σ)
M_R > 1.0 0.5161 0.2409 51.61240.88 3.0176
MT2 > 1.5 0.1568 0.05 15.68 49.96 1.9357
MET > 0.8 0.141 0.0362 14.1 36.24 1.9875
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Cut Applied Sig Eff (ε_S) Bkg Eff (ε_B) N'_S N'_B Significance (σ)
M_R > 1.0 0.5161 0.2409516.072408.78 9.5424
MT2 > 1.5 0.1568 0.05 156.83 499.6 6.1212
MET > 0.8 0.141 0.0362141.02 362.39 6.285
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Cut Applied Sig Eff (ε_S) Bkg Eff (ε_B) N'_S N'_B Significance (σ)
M_R > 1.0 0.5161 0.24095160.7224087.8 30.1758
MT2 > 1.5 0.1568 0.05 1568.32 4996.03 19.3571
MET > 0.8 0.141 0.03621410.15 3623.94 19.8749
" + ], + "text/plain": [ + "" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 6.2: Successive Selection (The Cut-Flow Table)\n", + "import tabulate\n", + "from IPython.display import HTML, display\n", + "\n", + "# We have 4 different \"What If\" scenarios for how many total events we expect\n", + "scenarios = [(10, 100), (100, 1000), (1000, 10000), (10000, 100000)]\n", + "\n", + "# We run a separate table for each scenario\n", + "for ns_total, nb_total in scenarios:\n", + " print(f\"\\n--- Cut-Flow for Scenario: Ns={ns_total}, Nb={nb_total} ---\")\n", + " \n", + " # We start with the full, unfiltered signal and background samples\n", + " # We use .copy() so we don't accidentally mess up our original dataframes\n", + " current_sig = df_sig.copy()\n", + " current_bkg = df_bkg.copy()\n", + " \n", + " table_data = []\n", + " headers = [\"Cut Applied\", \"Sig Eff (\\u03B5_S)\", \"Bkg Eff (\\u03B5_B)\", \"N'_S\", \"N'_B\", \"Significance (\\u03C3)\"]\n", + " \n", + " # We apply the cuts one-by-one from our list in Exercise 6.1\n", + " for var, xc in selected_cuts:\n", + " # Step 1: Filter the data that is LEFT from the previous cut\n", + " current_sig = current_sig[current_sig[var] > xc]\n", + " current_bkg = current_bkg[current_bkg[var] > xc]\n", + " \n", + " # Step 2: Calculate efficiencies relative to the starting totals\n", + " # This tells us: \"Of all possible SUSY events, what % do we still have?\"\n", + " eps_s = len(current_sig) / len(df_sig)\n", + " eps_b = len(current_bkg) / len(df_bkg)\n", + " \n", + " # Step 3: Scale these efficiencies to our scenario numbers\n", + " ns_prime = eps_s * ns_total\n", + " nb_prime = eps_b * nb_total\n", + " \n", + " # Step 4: Calculate the final Significance for this step\n", + " sig_val = ns_prime / np.sqrt(ns_prime + nb_prime + 1e-10)\n", + " \n", + " # Add this row of data to our table list\n", + " table_data.append([\n", + " f\"{var} > {xc}\", \n", + " round(eps_s, 4), \n", + " round(eps_b, 4), \n", + " round(ns_prime, 2), \n", + " round(nb_prime, 2), \n", + " round(sig_val, 4)\n", + " ])\n", + " \n", + " # Show the table for this scenario\n", + " display(HTML(tabulate.tabulate(table_data, tablefmt='html', headers=headers)))" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 6.3: Impact of Correlation on Selection\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# 1. We pick two variables that we know are highly correlated from Exercise 4\n", + "# M_R and MT2 usually have a correlation coefficient (~0.8 or higher)\n", + "var1, var2 = 'M_R', 'MT2'\n", + "xc1_fixed = 1.0 # The cut we chose in 6.1\n", + "\n", + "# We'll use the largest scenario to see the effect clearly\n", + "ns_total, nb_total = 10000, 100000\n", + "\n", + "# 2. We apply the first cut (M_R > 1.0) to create a 'warped' dataset\n", + "df_sig_post_cut = df_sig[df_sig[var1] > xc1_fixed]\n", + "df_bkg_post_cut = df_bkg[df_bkg[var1] > xc1_fixed]\n", + "\n", + "# 3. Now we re-run the significance optimization for the SECOND variable (MT2)\n", + "# but ONLY on the data that survived the first cut.\n", + "thresholds_var2 = np.linspace(df[var2].min(), df[var2].max(), 100)\n", + "sig_scores_optimized = []\n", + "\n", + "for xc2 in thresholds_var2:\n", + " # Calculate efficiencies relative to the original totals\n", + " eps_s = np.sum(df_sig_post_cut[var2] > xc2) / len(df_sig)\n", + " eps_b = np.sum(df_bkg_post_cut[var2] > xc2) / len(df_bkg)\n", + " \n", + " ns_prime = eps_s * ns_total\n", + " nb_prime = eps_b * nb_total\n", + " \n", + " significance = ns_prime / np.sqrt(ns_prime + nb_prime + 1e-10)\n", + " sig_scores_optimized.append(significance)\n", + "\n", + "# 4. Plot the 'Post-Cut' significance curve\n", + "plt.figure(figsize=(8, 5))\n", + "plt.plot(thresholds_var2, sig_scores_optimized, color='green', label=f'Optimizing {var2} AFTER {var1} cut')\n", + "plt.axvline(x=1.5, color='orange', linestyle='--', label='Original xc from 5.3')\n", + "\n", + "plt.title(f'Re-optimizing {var2} Significance due to Correlation')\n", + "plt.xlabel(f'Threshold for {var2}')\n", + "plt.ylabel('Significance ($\\sigma$)')\n", + "plt.legend()\n", + "plt.grid(True, alpha=0.2)\n", + "plt.show()\n", + "\n", + "# 5. Reasoning for the write-up:\n", + "# If the peak of the green line has shifted away from the orange dashed line, \n", + "# it proves that correlation changed our \"optimal\" strategy. \n", + "# Generally, the order doesn't change the final best significance possible, \n", + "# but it changes which specific 'xc' values get you there." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Exercise 7: ROC Curves\n", + "\n", + "### Exercise 7.1\n", + "For the top 3 observables you identified earlier, create one figure overlaying the Reciever Operating Characteristic (ROC) curves for the 3 observables. Compute the area under the curves and report it in the legend of the figure.\n", + "\n", + "### Exercise 7.2\n", + "Write a function that you can use to quickly create the figure in part a with other observables and different conditions. Note that you will likely revise this function as you do the remainder of the lab.\n", + "\n", + "### Exercise 7.3\n", + "Use the function from part b to compare the ROC curves for the successive selections in lab 3, exercise 4. Specifically, plot the ROC curve after each selection.\n", + "\n", + "### Exercise 7.4\n", + "Use your function and appropriate example to demonstrate the effect (if any) of changing order of the successive selections.\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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ZsmVS18me9Jg3x/dT5Z3YpEl2GzYxi+Vmsolkefcfy+Vk21cSbLKQm5tbiXN8+/TpI3XdDx8+8Bzf3DnupSlJlve2Gzdu5NvCJmoV9Hy8ePFikXJ8nZycSrQ9bOIXu1+WR1qUcmZswhh7bhRWzoz9my07x5e9LxWU48uev0U9lsV5XpT2OcjW556kl+2LL74oNKe9sBzf3CUB8+b4lub9L+97KSHZaMSXKCyWE1pQTinLhWOjsOyUI8v5YmVwWNMDVgqHjZKw04TstB07NcawU5jdu3fnpxFZ3iDLf2X5sCxP7dGjR7xMzqewEYW5c+fywvvsFB8bGWElddgpQjbixxozFGTevHl8lJjlJLLRTzZawnIKc+fKsbI9R44c4afyZsyYwQvis9w+1oSCjS7NmjVLMnr9KdkjRWPHji30OiwlhGG5kNnYqVuW68iw0kfM2bNn+f5lP7lHe9jfwa5bnDzfvFgJMfb3sH3JRuoZtj/ZcWDpEOxUMStRxEauWQ4iK2Hm6+vLS8mx8kXZ2OgvK0PG7oflcLO/O7uBRfZpazby/6mSZqwBAXsOsBHo+/fv89Gj7AYWN27cwKZNm/ixzR6t7tSpEx9lYiNmbMSNnZrOPvVbHGyb2POBpdqwUbHcp5izn2+sXBsr58XyLFnONntMNurNtpOdqmfbxU4Rs5JRbF/UqFGDP//ZSB1bz8pOFRfrZsb2KXuus9PJ7LiwUTz2WGxEkO2nssAe6++//+aNNNjxZ6P5LD3m999/53n4bL/nHQVkOcdsW9m+YK999hz4XEkzlk+6efNmXtaQHT+WesPKHK5evZq/Nj6XIsT2Dzve7IwKG9Flzx9W9o2V42KpBqxzG3vOsfV5sdFrVhZu/Pjx/PnF9iXbp+xMFFOUY1nU54UsnoMs/5jd96RJk/i2svcs9vd5eXkVeH9se//880+eIsFSMVgOMRtNZu+72SUBC1LU97+ivJcSIiEJgQlRgqoOuUvxDB8+nI8W5C7jw7CyRux6rBRPNjYLmc16ZiM2bKSFjXKwKgW5Z/V/bqSZlXZioy86OjoiAwMDXiki78hH7hFfVm6oe/fuvDwaG+Vkj81GnvM2RWCjmqy8FCtnxK7HSvnUq1dPNGPGjAIL5RfUZIPdpk2bNp+8Htu2vCPS2SNSBf2w6hiyLGeWbdCgQXzkKruEVjY2g5vtH3Nzc36M2H5jo+x5j29ubJY5G4Vi1SLYbViJKFY9gj12UWbqMydOnBD17NlTZGlpybfL1NSUl2xizw12FiEbG/Vlj2VmZsb3N3v+eXp6FnvEl5k7d66kzFXuJiK5HT9+nG8H+5vYiCs7duzxsxuTsFFHVpaPjXayx2PPSVYWjD3vP1ea61PP9S1btvD7yX4usjJceY+BLEd8maioKF6akB1HdgzY3/rjjz/yiiC5sW2eMmUKr0LARnjZMWd//969ez/7uC9fvuT7j903ew2zH3bb77//nj9+UbHqCmwbWJm37H3EXnusTFnesw/Zry9Womz69On8OcaOJSutyJ472YpzLD/3vChsHxf3OchKiLHXEnuPZdvNKlA8evSo0Oc7O/vGzuiwEXn2GmFncPKWfiuogUVR3v+K+l5KCKPG/pcTBhNCCCGKieWtsuoqeZvWEEJINqrqQAghhBBCVAIFvoQQQgghRCXQ5DZCCCFKgTL3CCGfQyO+hBBCCCFEJVDgSwghhBBCVAIFvoQQQgghRCWoXI4vK37NWi2yXt+yaqlJCCGEEEJkm7OfkJAAW1tb3jZcVlQu8GVBL+u+RAghhBBC5NuHDx94Rz5ZUbnAl430MqzlIWsrS5T/GyNrAcqONY3wKz863qqFjrdqoeOtWuLi4lC5cmVJ3CYrKhf4Zgc/RkZG/Ico/xsl+2HHmgJf5UfHW7XQ8VYtdLxVszyhmozTUmlyGyGEEEIIUQkU+BJCCCGEEJVAgS8hhBBCCFEJFPgSQgghhBCVQIEvIYQQQghRCRT4EkIIIYQQlUCBLyGEEEIIUQkU+BJCCCGEEJVAgS8hhBBCCFEJFPgSQgghhBCVQIEvIYQQQghRCRT4EkIIIYQQlUCBLyGEEEIIUQkU+BJCCCGEEJVAgS8hhBBCCFEJFRr43rhxA71794atrS3U1NRw/Pjxz97m+vXraNKkCXR0dFCtWjVs2LChXLaVEEIIIYQotgoNfJOSktCgQQP89ddfRbq+n58fevTogdatW+Px48eYO3cupk+fjiNHjpT5thJCCCGEEMWmUZEP3r17d/5TVGx0t3Llyli9ejVfdnZ2hqenJ1asWIGBAweW4ZYSQgghhJCykp6ZhZC4FDwPDYFH8CO8vH5S+QLf4rp79y66dOkita5r167YunUrMjIyoKmpme82aWlp/CdbfHw8/1ckEvEfotyyjzMda9VAx1u10PFWLXS8FVtWlgjBcSl4H5WMkLhUBEQn40N0MvxjwhCY8hwJaj4Q6PkCoiiE7G6E2DsOZbIdChX4hoaGwtraWmodW87MzERkZCRsbGzy3WbJkiVYsGBBvvVxcXFluq1Eft4oExMT+e8sj5woNzreqoWOt2qh4y3/EtMy8T46BQExqQiMScWH2FSExachNCENofHpSBOmQV07BALdIAj03kGg8wHqerGAHqDFUmDfmCNwY2dkROoDSC2TbVSowLeg4CV7JK+woObHH3/EzJkzpUZ8HRwcYGxszH+Icst+frBjTYGv8qPjrVroeKsWOt4VT5gl4ukIbLTWP0o8YhsYk4J3EUkIjk1BbEqG1PXVBAkQ6PlBoPseAvv3MNAJgZqaMN/9ioRqCD/pjIiTzoBIHM/paqcjJeeEvWoGvpUqVeKjvrmFh4dDQ0MD5ubmBd5GW1ub/+TFgiAKhFRD9rGm460a6HirFjreqoWOd9nLEGYhKCYFH2KS4ReZhLfhiTywZcEu+ylcJtR1Qj8GugEQ6H6AumbsJx9LR6ALu7R6eLzaERHPsiTrW1UOxN8TItDgZ6h24Ovu7o5Tp05Jrbtw4QJcXV0LzO8lhBBCCCH5R88jE9N5UMuCW5+wBP7v+6gkPoKbmfW5OVBZUNdmQe47qGtHQEPPH+paEYBaTvBakGrG1VDXoi5czF1Q36I+HpzKwLffnUdiYjq/XKCWhQXt7mDOlxlIHLAH+PmEcgW+LPfy7du3UuXKnjx5AjMzM169gaUpBAUFYdeuXfzySZMm8dJnLHVh/PjxfLIbm9i2f//+CvwrCCGEEELkU1qmED6hiXgaFIeXIfHYfe899LQESE7Pn3JQKLUMGBqGwcg0EOp6/kgU+SJTLeGTN9HV0BUHuJb14WrtinoW9WCqYyq5XCjMwuTtOyVBr5NpLPYOOINmDQyAEeeBzLIZ0KzQwJeVImvfvr1kOTsXd+TIkdixYwdCQkIQEBAgubxq1ao4c+YMZsyYgb///ps3vli7di2VMiOEEEKISo/gBselwj8yCf5R4rQE9rtvRBL/N+8IbnIhQa++lgAOZnqobAFo6r9HhuY7RGe+hV/CS6RnpSFeEghL306gJoCTiRNqmNbgAa5bJTc+uquhXniYKRCoY/f2nmhQ/y8Mqv0Cq7tdg4G5BTDiGKBvwaoQoCyoiVSszhOb3MYmOsXGxtLkNhXAnt6sggdNblMNdLxVCx1v1ULHWyw6KR2vQuPxLCgOz4Li8SY8EQFRSUgqxgiuhYEWWCzcp4EtnCz1UclMhCT44G38U9wLuYfXMa8/eXtDLUM0sW6CxlaNeYDLAl09Tb1P3iY9XYjAwHhUq/Zx1DcrCzg6DkF3zsPOKBHQMQZGnwOsXfjF7LPbxMSE/2tkZASVzPElhBBCCFGVFIXXoQm44xuFqMQ0PA+O5zm54QlFL3WgpaGOqub6cLYxRH17EzjbGKGOnREykQCPEA94hPyLo+Fe8PXxhQiFj4Pa6Nvw4LaBZQO4VnKFo5Ej1NWK3vz31atIDBt2FHFxqXj8eCIMDbSAc7OBZ0dgx2JaDR1g6CFJ0FuWKPAlhBBCCKnAKgq+EYk8qPUJTeDpCWz5Veinc2izCdTVYG+qixpWBqhqoY/K5vqoYqYHR3N92JnqQk1NBP84f3hFPMHpEE8s9vbC+/j3hd6fGtRQ26w2mtk0Q0PLhjxH11LPssSj9Bs3PsTMmeeRkpLJ17HfNw9/Ddzf9PEBBcCgnUDl5igPFPgSQgghhJSDhNQMPorrFRiHa6/D8SQgFmmZWUgXfroaQjZjXU242BihprUBXGyNUM/OBNWtDPjIbrbkjGQ8i3yGkwH38cjzEZ5HPkdyZuFlyNTV1OFs5oxGVo34aC5LX8g9Ca2kwsOTMG7cSZw65SNZ5+xsgSntQoCri3Ku2PcvoFY3lBcKfAkhhBBCZCw8PhUvQxN4cHv2WQgSUjMRFJtStOBMXY0HtCw1QVdLgLY1LeFaxRTmBvn7EiSmJ8IzyJvn5j4Mf4gXkS+QKRKPrhZEU10Tdczr8JHclnYtecDLKjDI0tmzbzB69AmEhSVJ1k2Z4oZlo9Ohd3p0zhU7/wY0HIryRIEvIYQQQkgphCek8slmTwPj4RUYi+fBcbxV7+eoq4FPMutZ34aP5LJgl6UssMoKmgL1AlMHQpJC8CT8CTzDPPmPX5zfJx+D5eeysmKsfm4T6yb8d21B/gBaFlJSMjB79iWsW3dfss7KSh/btvVBT5cwYM8AQPRxdNt9KtDyW5Q3CnwJIYQQQoogNUPI829ZugLLwWUB7u23UUXed5XN9NCyujnq2Bqjvr0xalobQkdTUOj1WaD7IeEDPEI9cMr3FN7GvEVCxqdzf9nEMxbgsh82Ia2SfqVyObZCYRZat96Ohw9DJOt69KjBg17rrHfAjqGAUFyzFw2+AjovREWgwJcQQgghpIB83KeBcXgWHMcrKrCfdxGJfIT2c4x0NHhwW8/eGLWsDVHXzpiXDdMoYBQ3N2GWkJcSexj2EI/DH/OR3YiUiMKDODUNPhEtezS3qU1TmOmYVcixFAjUMXx4fR746uhoYMWKzpg82Q1qMX7A1oFA2scqwDW6An3WAepFrwohSxT4EkIIIUSlZWWJeOOHRwGxuO8XBe/AOLwOS4CoiEFurUqGMNfXRvd6ldDA3gRVzPWgppany0MhI7o+MT7wivDiP7eCbiE6NbrQ62upa8FAywBf1vqS5+ayqgufq59bnqZPbwZ//1hMmNAELi6WQEIYsLs/kBQuvoJ9U2DQDkBQNl3ZioICX0IIIYSoFDbJ7OH7GJ6X+yI4Hl4fYpGQVviEMEZToIYaVoaobWMo+beOrRGsDHWK/LjpwnS8jH7JR3IfhT3C08innxzRNdA04KO5rLQYS1tgo7tllZ9bXMePv8KLFxGYO7e1ZJ26uhpWr/5YoSE1Dtg7EIjxFy9b1gaGHgS0KjZQp8CXEEIIIUqdl/syJB6PA2Lx+EMsD3JZS9/P1cZlKQpNqpjydIW6tsb5yoYVBau4wFIWzvmfg3eEN/zjPwaBhdAR6KCFbQuesuBq7YrqJtUhUC88B7giJCWlY8aM89i8+RHYoLa7uz3at68qfaWMVGD/UCD0qXjZyB4YfhTQq5g0jNwo8CWEEEKIUhBmiXgjCO9AcZDLSomxlAW2/lMsDbV5ikIDe2M0rWrGu5yxMmLFlZCewPNz74fex+4Xuz97fX1NfZ6uwMqK1bOoxysuaAm0IK88PYN5BzYfH/GEPpYKcvjwC+nAN0vIWxHj/S3xsq4ZMOIYYGwHeUCBLyGEEEIUDgtmWZrCy9B4vApJwNOgWDwLikdKhvCTt9PWUEc9O2O0qG6Bhg7GfBKalaF2kXJy84pNjYV3pDc8Qz1xN+QuXke//mTrX6arY1c4GTuhU5VOcDJxKlbr34oiFGZh2bLbmDfvGjIzxeXI9PQ0sXZtN4wZ0yjniiwS/m8m8PKUeFlTHxh2GLCsCXlBgS8hhBBC5F58agZuvI3G8/AQXlLs0suPE6Y+UyeX5eOydAUW7LLUhdqVDD9bXaEwUSlRuBF4g1deuBd8D75xvp94bHXUNK3JR3WH1B6CJlZNStz6tyIFBMRhxIhjuHEjp82xm5st9u4dgBo1zKWvfHUx8HCH+Hd1DWDwbsC+CeQJBb6EEEIIkSus2sHTIHEZMY93UXjgH1Okrmd2Jrq8Pm4DBxPUtxP/q69d8lAnJjUGD0If8NQF1hntfXxO8FeQWqa1eNtfN2s3/q+xtjEU2cGDzzBx4mnExaVJJq/9+GMrzJ/fFpp56w97bARuLM9Z7r8RqN4R8oYCX0IIIYRUuA/Rybj4IgxPPsTi2utwxKd+usqCqZ4mmlczh62JLtrVsuSdzwpq6VucYNsv3g/PI5/jX59/EZkSyZtHfEp9i/q89W9Dq4a86kJF1dAtq/SGFSvuSoLeKlWMsXt3f7RuXSX/lZ8eBs7OzlnuthSo9wXkEQW+hBBCCCn3urksXeHeuyg+CY1VXPCLTCr0+rqaAtSxM0I1M200dbJCLWsj1LUzKlFebm4suL3+4Tr2vtqLNzFvPnld1iyinmU9NLBswH9YwwhTHVMoK4FAnaczNGq0Ef3718bff/eAsXEBpdt8rwDHJrGvDuLl1rOA5mxZPlHgSwghhJAylSnM4i1+7/tF8/q59/2jEZEgHkksiL6WAM2qmfOcXPbTuLIpr6MbFxcHY2PjEge8yRnJeB71HHeD7/If9vvnJqONcBnBS4yxhhEsX1dZZWZmITQ0Efb2RpJ1NWua4+nTb1CtWiEBftBD4MBwICtDvNz4a6DDL5BnFPgSQgghROaBrndQHC6/DINPmHhkN+ETqQssqGXlxFpWt+DpC66OLNBVz5eKUJKqC4/CH8EjxIPX0X0V8wqZWQVvh66GLi8l1t6hPXpU7cFHdeWpK1pZ8vWN5mXK4uPT4Ok5gVdsyFZo0Bv5BtjzBZDxcaS+di+g5yrw4r5yjAJfQgghhJRKhjCLd0Fjo7keftF44B+N2OSPo4CfGNFtXs0Mzaqa85a/OnknS5VAXFocLy3GJqJ5hnnibezbT16fVV1oY98Gbe3boo5FHWiqV1wr3YogEomwc6cXpk07i8TEdL5u9uyLWLeux6dvGB8sbkWc8rG9cpVWwMCtgED+w0r530JCCCGEyF3AxHJ07/vF4MqrMNx7F43ET7T8ZZ3QutaxRlNHM7g6mpWqpFje1AXe/jf8Ea+84BXhhSyRuM5sXmpQg6OxIxpbNeZpC6xphIWuBVRVdHQKJk06jX//fSFZ5+RkiuHD63/6hsnRwO4BQNzHiX/W9YCv9gGaRW/dXJEo8CWEEELIZ4XGpeL220j+c+ttJMI/kaNrqKOBNjUt0byqGRpXMYVzJSNeCqu0hCIhXkS9wK2gW7gZdJNXYMgUFRxwC9QEqGVWi5cWa2zdmFddMNQyLPU2KIOrV/14bd6goATJujFjGmLNmu4wMPhE57j0ZGD/ECDipXjZpAow/DCgozhl2yjwJYQQQkiBDSM83kVLAl3WCrgwZvpaaOFkztMX2KhuDSsDmQS6LB+XpSs8Dn+M+yH3ea5uQkZOsJaXo5EjH8nNnoxGga609HQhfv75ClasuMObrDGmpjrYvLk3Bg50+fTBEGYAh0cDHzzEy/qW4lbEhpWgSCjwJYQQQghPVWA5umwiGmsa4RUYx9sCF0SP5ehWNfuYp2uOBvYlr7SQG0tTYIEuC3DZD2sekZyZXOj1qxpX5WXFskd1K+krVhBW3lUbWrfejvv3gyTrOnSoip07+0lVcigQi5JPTgd8zomX2cj58COAuRMUDQW+hBBCiIqKTEzDtdcROPM0BFdehX8yR5cFt62qW/DKC40qm0JLo/Q5usIsIW/7y0qLsVxdNiEtNi220OsbaBqgmU0zuNu4o5V9K9gZ2JV6G1SFhoY6+vSpyQNfTU11/P57R8yc6V60kfmL8wCvfeLfBVrinF6bBlBEFPgSQgghKiIlXYi77yJx8MEHnH8e9snrVrcyQEsnc7SqYYlm1cxgpKMpk9SFp5FP8SzyGQ922aS0pOxyWAVgndBYbi4rLdbIshFsNGxgZmImk9FlVTRnTiv4+cViyhQ3NGpkU7Qb3V4L3Fn7cUENGLgFqNoGiooCX0IIIUSJBUQl4/zzUJz2DubpC4WxNtJGCycLNK5sgq51K8HKUEcmqQvvYt/hQdgDHuiyUmOfytFlObmu1q482GUjuzVMakiCXFZJgjWwIEVz9uwb+PhE4dtvm0t1Y9uypU/Rd+GT/cDFXA0peq0EXPoq9CGgwJcQQghRImmZQp6+sP22HwJjUvjPpxpHsPSFb9pVh2sV01JPSGPBqV+cH+6G3OU5umxEl9XWLYy5jjmfhMbyc5tWaorqJtUhUC99PV9VlpKSgdmzL2HduvsQCNTQtKkd3N0din9HPueBE1Nyltv/BLiOgaKjwJcQQghRYCzYfB+VjN333uPEkyBEfmxEUBALA224OZqia51KPFfX0lC71I8flhTGA93sHN338e8Lva6xtjEPcOtb1OcjurXNalPaggx5eYXyDmzPn0fwZaFQhF27vIof+AZ4AIdGAiKheNltPNDmeygDCnwJIYQQBZOUlslLjLGWwKx5REB08idTGEa1qIrOLlZwsjQodaCZkpmCR2GPeOoC65D2OuZ1odc10jLiVRcaWjXkJcZYpzR1tdJPiiPSsrJEWLPmHubMucxLljE6OhpYsaIzJk92K97uCn8J7PsSyPx4pqBOf6D7UrlvRVxUFPgSQgghClKB4crLcJx7HsqD3vTMgjuUMS42RpjQpho6uVjDQFuj1JUXXsW8woOQB7gVfIuP7KYJ0wptGsHSFlgL4OY2zVHDtAYFumUsODgBo0Ydx8WL7yTr6te3xr59A1CnjlXx7iz2g7grW+rHyhrV2gH9NwJKlH5CgS8hhBAipykMz4Pj8d/TEFx6EYY3hTSQYHm6TaqYom1NK3SobYWa1qUf1Y1IjsA5/3PY9WIX0jLTEJMWU2gbYJau0NahLU9hqGtRF7oauqV6bFJ0x469xPjxpxAVlZPHPWuWOxYv7gDt4n7hSYoCdvcHEoLFy7aNgMF7AI3Sp8PIEwp8CSGEEDmamHbDJxJXXoXxf4NiC56YVslIBx2crdDZxRru1cyho1m6EbkMYQa8Irzwn99/OOxz+JPXZU0iWtq2RHPb5mhWqRlMdUxL9dik5A0p5s27Jgl6bWwMsGtXf3TqVK34d5aWCOz9Aoh6I142cwKGHQa0la/FMwW+hBBCSAVKTs/ExRdh2H33PV6HJiAhLTPfdVixhXr2JjzIZcEuKzlWmlFdNpr8IeEDz9Nl6QusHfCnOqRZ6FpgYv2JvMxYNeNqNCFNThpSsHQGN7fN6NGjBm87bG6uV/w7ykwHDo0Agh+Jlw0qiVsR61tAGVHgSwghhJSzuJQM3PCJ4AHvpZdhSP44ISk3bQ11uDmaoVvdSrwKQ2krMMSkxvASY6wCw73gewhO+nhKOw82+cxYy5hXXRhQYwBcK7lCU730zStI6QiFWYiMTIa1tYFkXb161nj0aCKcnS1K9mUkKws4/g3ge0W8rGMMjDgKmFZR2sNFgS8hhBBSTpUYjj8Jwq03rBpDONKFBU9Oa+FkjlEtHNG6hiV0tUqewpAuTMfj8Md8VPdO8B28in4FEUSFdkhjVRfcbd3Rxq4NTHRMSvy4RPbev4/F118fR0JCGu7dGwetXM8LFxfLkt2pSASc/xF49jG1RUMH+OogYF0HyowCX0IIIaSMsMoL995F4eyzEJx8EoykAkZ2jXQ00KOeDXrWt0GzqubQ0lAvcfqCT4wPLzHGgt2HYQ+RKkwt8Lpa6lq8cURTm6ZobdcatcxqUfUFOXXgwDNMmnQacXHiShq//HIFS5d2Lv0d3/wT8Ngg/l1NAAzaAVRxh7KjwJcQQgiRIWGWCPf9onH8cRDOPA0pMGeXGeleBR2drdG8WsmDXVZ9gaUusECX/USlRhV63VqmtfiIrruNOy85psNG+Ijcio9Pw9SpZ7B7t7dkXZUqxujVq2bp7/zhDuDKwpzlPmuBWt2hCijwJYQQQmQwQe366wheY/fKq3AkpOYPdvW0BOhV34bn67ataQkNQfGD3cysTDyNfIqbgTex5emWQlMXGCtdK3Gga+vO83XZBDWiGG7fDsDw4cfg7/+xni6AYcPq4e+/e8DYuJRfWF6eAk7PyFnutABoNByqggJfQgghpARSM4S44xuJU14hfJJaYgEju/paAnStWwkda1ujfW1L6GkV/2M3MiUSt4Nu41bQLdwOvo2E9IQCr8fq57KqC2xElwW7VH1B8WRkCLFw4Q0sXnyTd2NjjIy0sX59DwwbVr/0D+B/Czg8FhB9zC93nwq0/BaqhAJfQgghpIhYMMJydo88CsL556EFBruGOhpoXcOCj+x2calU7AlqrFPas6hnfFSXBbvPo54Xet065nXgYOiAL2t9iYaWDaEpoOoLihz0tmu3E3fufJCsa9WqMnbv7g9HRxlMNgzxBvZ/BWR33as/GOi8UGlaERcVBb6EEELIZ3yITuaB7p577+EflVxgsNujrg161LfhtXaLm7MbnRotGdVlFRhi03JOcUs9jqYhWti1QCu7VvyH0heUh6amAO3aVeGBr0CghgUL2mHOnFYQlCAlJp9oP2DPQCAtXrxcvTPQ929AXQb3rWAo8CWEEEIKwLqmsQlqp7yC8So0ocBglzWTyM7ZLU73NFaBgeXqsgoM1wOv42nE00LzdVlLYBbksuoL9S3rQ0OdPrqV1a+/toOvbwxmznRH06Z2srnTxHBxK+KkcPGyvRvw5U5ARc8O0KuHEEII+SgmKR2nn4Zgx20/+EYkFbhf2IjuV80qo4uLdbGC3fj0eHiGeuL0u9O4+P5iodfT19TnNXVZsMtaA1vrW9PxUUJXr/rxIHfcuMZSo74HDnwhuwdJjReP9Mb4iZctawNDDwFa+lBVFPgSQgiBqk9SYw0ljj0OwnWfcGQI84+8NnQwkYzuVrfK6Zz1Of5x/tj1YheeRT7D65jXyMqeVJRHDdMaklHdhlYNqVOaEktPF+Lnn69gxYo7vO2wq6stGjasJPsHykgFDgwFQj+WQzOyB4YfBfTMoMoo8CWEEKJyWKrBs6B4/PvwA09niC+g/Fg1C320rWWJ0S2qorK5XpHuNyMrA4/DHuPo26O8mcSbmDcFXk9HoMNr6Ta3aY5ujt1gY2BT6r+JyL+XLyMwbNhRPH4cypczMrKwYYMnNmzoJdsHyhICR8cB/jfFy7qm4lbExjJKn1BgFPgSQghRGXHJGVh75Q3u+EbhZcjHiT65WBlqo29DW/RvZA8XW6MilxvzCPHA9Q/X+eS0hIyCy40xw52H81JjrOwYKz9GVOeLFgtwZ826gJQU8ZcsTU11/P57R57PK+MHA/6bJa7Xyx9IDxh2GLCsJdvHUVAU+BJCCFFqmcIsHuiySWr/PgzMd7mOpjqvyDCgsT3cncwhUFf7bBOJx+GPeZDLuqW9jH5Z6HXtDOwwpNYQdKjcgZcdU1Ox0lEECA9PwtixJ3H6tI9kdzg7W2Dv3gFo1KgMRvqvLQEebhf/ziZCDt4N2LvSofiIAl9CCCFKyT8yCRuu++L4kyCkZuTPrbUw0MKsLrV4NzVDHc3PjuqyCgws0GUBLys/VhAjLSM+Ia2VfSs+QY3Kjam2s2ffYNSoEzz4zTZ5siuWL+8CPb0yqKrgsQm4vjRnud8/QPVOsn8cBUaBLyGEEKURn5qBSy/CMP/EcyQU0FxCV1OAfo1s8aWrAxpVNi30ftKF6Tjvf56nMJzwPfHJx3Q2c0ZLu5a8Y1oj60Y0MY1IGlJ89915SdBraamHbdv6olevmmWzh54dBc7+kLPc7Q+g/pd0NPKgwJcQQojC5096B8ZhxYXXuPkmMt/lLLugvr0JxrR05FUZCitBFpoUihuBN/iPZ5gnkjIKLmemLdBGG/s2PH2BTU6jUV1SEFaabM+e/mjRYhu6dHHCtm19YG1d9IogxeJ7FTg6gb0axMutZgLNv6EDUwAKfAkhhCikiIQ0HPAIwukXXvAJS8x3uaO5Hjo6W2Nim2qwMtIpMGB+Ef0CB18d5Hm6r6JffTJXl01KYxUYWLkxFvwSkreddVxcKkxNcyYturnZ4d69sWjc2Kbs8ruDHgEHhgFZGeLlRiOAjvPo4BSCAl9CCCEKQ5glgse7KOy4449LL8OQlafkrr6WgJcgG9HcEc2qmkE9z0S17IlplwMu46L/RYSnfOxmlYe5jjkPdNs5tOO1dfXYzHhCChEcnIBRo44jKSkD16+P4vV5szVpYlt2+y3yLbD3CyD77ETtXkCv1eLTHKRAFPgSQgiRe1GJaTjo+QF77wXwVsJ5NaliioGN7TGgsV2+VAY2EY2lL9wPuY+7IXf5RLWCaKlrYVy9cTyNwdncGepqOcELIYU5duwlxo8/hago8fPy999vYt68tmW/w+JDxK2Ik6PEy5VbAAO3AAIK7T6F9g4hhBC59TQwDmsu++CGTyTShdKVGayNtNHDxQLDWjihupWhVArD29i3uB54Hdc+XIN3hDdE2bmPuWioa/AKDCzQZZPTWDoDIUWVlJSOGTPOY/PmR5J1NjYGcHe3L/udmBID7BkAxAWIl63rAl/tBzSpNvTnUOBLCCFErrDA9dLLcGy/7cfr7+bGzuC2qWGJgU3s0dXFGilJCTA2NkByRjIehj3E7eDbPNgNSgwqtGNac9vm6OrYlQe8rPwYIcXl6RnMO7D5+OQ8P/v3r43Nm3vDvIhd/kosPRnYNwQIfyFeNqkCDD8C6JqU7eMqCQp8CSGEyIXUDCEO3A/Ar6c+fqDnwTqqzehUE44W+nw5JiUGp/xP4W7kXZ7GkJ6VXuDtqptU50Euy9VtYNkAmoIyqJ9KVIJQmIVly25j3rxryMwUn4Fg9XjXru2GMWMalX2DEmEmcHg08OGeeFnPAhhxDDCsVLaPq0Qo8CWEECIXjSbOPw9FTPLHmekfVTbTw/DmlTHYtTKM9TQREB+AjV57cCf4Dh6F55xizk1DTQOulVz5xDQW8LKOaYTIoi5vly57cO2av2Sdm5st78BWo4Z52e9g1or41LeAzznxspaheKTX3KnsH1uJUOBLCCGkQjwLisO8E8/wKCC2wK5q33ethX4NK+FhhCf+efYvbgbeREDCx5zGAgysMZB3S2PVGAxZUECIjOvyNmhgzQNfNrA7d25rzJ/flq8vF5d+BZ7sEf8u0AKG7AVsG5bPYysRCnwJIYSUa/7udZ8IbL/tz//Ny83RFBPa2yBT8xWuBf6NNf/eREJGQoH3ZaBpgJ6Ve6J91fY82KUqDKSs/fFHJ7x9G40ffmiJNm2qlN8Ov/MXcHv1xwU1YMBmoFo5VI5QQhT4EkIIKZf6u+eehWLbbT88fB8jdZmhjgZ6NDBC1Spv4RF+GDPveRZ4HwI1AW8ewXJ12QQ1FzMXxMXFwdjYuOxzK4nKuX07AO/fx2Ho0HqSdTo6Gjh9emj5bojXAeDCTznLPf8E6vQr321QIhT4EkIIKTNpmULsuvMef197i9g8+bs2ZulwruUFr/hTOJ8ghPCpMN/tDTUN0cahDdo7tOdpDLlTGNjoMSFlkcu7cOENLF58E9raAjRqVAnOzpYVs6N9LgDHJ+cst/sRcBtbMduiJCjwJYQQUibthHfe8edNJ9jvYllQ1w6FtbUfLKzeISD5JR7EStfmZSobVuapC2yCWsfKHaGpTlUYSPnw9Y3mZco8PMTl8FJSMrFmjQc2bOhV/ofgw33g0NeA6OMXQrdxQNvZ5b8dSoYCX0IIITLBRmAf+Mdgr8d7nH0aKm44oZ4GDcM30DB4AR2jtxCqxyMRQOLHDqu59azWEyNdRqK2WW1KXSDl/tzdudML06adRWKiuCyeQKCGBQvaYc6cVuV/NMJfAnsHAZkfuxS69AO6L6NWxDJAgS8hhJBS19/9zzsEO+7442lQHKCeDA2D19Ax8oaGvg/U1MUjVnkTGRyNHNG5Smd0qtIJzmbOFOySChEdnYKJE0/j8OGc+tFOTqa8TFmzZuXQhS2v2A/A7gFA6sdqJ1XbAgM2AerlVD1CyVHgSwghpETiUzNw6MEHLPrvJdQEidA0vQuDmrf5KK+aWv78Wz0NPZ6+wHJ1qb4ukQdXr/phxIhjCArKqRwydmwjrF7dDQYGWuW/QUlR4lbECcHiZZuG4rJlGtrlvy1KigJfQgghxR7hXXXJB/seeSJV8zkMal6CmiA7j1eapa4lOlTuwJtJuFVyg7aAPsCJfEhPF2LMmJOSoNfUVIe3HB440KViNigtEdj3JRDpI142cwKGHQa0qSa1LFHgSwghpEiS0zKx8sZlHHl5CWnaTyCwD4VOIdftVLkThjkPQyOrRhDQKVoih7S0BNi1qx/atduJdu0csXNnP9jbG1XMxmSmiyeyBX0s5WdQCRhxFDCooGoSSowCX0IIIZ/0LOI1/ri1HV7x/4lXGAOCAvJ1m1ZqigE1BsDF3IXydYlcTmBjE9cMDXPOOrRuXQXXr49CixYOUFevoFrQWVnAicmA72XxsraxuBWxqWPFbI+So8CXEEJIPgHxATjlexZHXp1BRPq7AveQk5Ez+tbojrb2bVHNpBrtRSK3wsOTMHbsSSQnZ+DixRFSQW6rVpUrbsNYLerzc4Gn/4qXNXSAoQeASnUrbpuUHAW+hBBC+GjYq+hXuBN8B+f8LuBVzItCPjT00bVyT0xpMgoORg6054jcO3v2DUaNOsGDX2blyrv43/9aQC7cWgl4/CP+XU0AfLEdqCIn26akKPAlhBAVDnZ9Ynxw8f1FnPU7i4CEgAKvJ0yxQ02Dtvih1WC0cKSRXaIYUlIyMHv2Jaxbd1+yztJSD87OFpALD3cCl3/LWe69BqjdoyK3SCVQ4EsIISoY7F54fwFn3p1BYGJggdcTptpCmNAA7e064X/dW6C6lUG5byshJeXlFco7sD1/HiFZ16NHDWzb1gfW1nLwXH55Gjj9Xc5yx/lA4xEVuUUqgwJfQghRAb6xvjzYveB/AW9j3+a7XCRSgzC5KjIT6gLJtdC/XgNMHlgdjhb6FbK9hJREVpYIa9bcw5w5l3m5MkZHRwMrVnTG5Mlu8jHp0v82cHgMIPrYrrv5FKDVjIreKpVBgS8hhCip19Gvcd7/PC4HXMa7uHeFBLvVkJlQhwe8GiJjDHJ1wDdtneBgplch20xISbFAt1evfbh4Mee53qCBNfbtGwgXFzkpCxb6FNj/FSD8WPe6/mCgyyJqRVyOKPAlhBAlEpcWh9PvTuP42+N8slpBhClVkBHXgAe7okxx3dJRLRwxoU012JrolvMWEyK7uryOjiaS5Vmz3LF4cQdoa8tJqBPtB+wZCKTFiZerdwb6/g2oq1f0lqkUOXk2EEIIKankjGTcDr6N1Q9XIyQpBBlZGfmuY6JeE5FhtZAaWweiTHFwoK8lwJctHTC+NQW8RDmsWtUVb99GY+7c1ujUSY4mYiaGi1sRJ4aJl+3dgC93AgLNit4ylUOBLyGEKKA0YRqufbjGJ6ixEmSpwtR813E2qwOd1Ga4+cQGCcKctqeGOhr42r0KxrWqBlN9rXLeckJkw9MzGB8+xKF/f2fJOn19LVy5MlK+dnFqvHikN/pjCoZFLWDoIUCL8ucVIvD19/fHzZs3+b/JycmwtLREo0aN4O7uDh2dwppXFm79+vVYvnw5QkJCUKdOHaxevRqtW7cu9Pp79+7FsmXL8ObNGxgbG6Nbt25YsWIFzM3Ni/3YhBCiSFIyU3An6A7O+p/FjcAbfDkvU21TNLBsDKOUHjjxQITEtEypy7vWscaSAfVhRgEvUVBCYRaWL7+DefOu8YlrXl6VUK2aKeRSZhpwcBgQ6i1eNrITtyLWM6voLVNZRQ589+3bh7Vr1+L+/fuwsrKCnZ0ddHV1ER0dDV9fXx70Dhs2DLNnz0aVKlWKdJ8HDx7Ed999x4Pfli1bYuPGjejevTtevHiBypXzd1K5desWvv76a6xatQq9e/dGUFAQJk2ahHHjxuHYsWPF+8sJIUQBsOD20vtL2OS9CUGJQQWmMZjpmKFD5Q5oY9sBr/2t8c81f8Sl5FxPU6CGL5rYY1zranCylINSToSU0IcP8Zg69Rhu3BDXnGYtiJcvv41//uklf/s0SwgcHQ/43RAv65oCI44BxvYVvWUqrUiBb+PGjaGuro5Ro0bh0KFD+YLStLQ03L17FwcOHICrqysPZAcNGvTZ+125ciXGjh3LA1eGjfaeP38e//zzD5YsWZLv+vfu3YOjoyOmT5/Ol6tWrYqJEyfyEWBCCFEWWaIs3Au+h+O+x3k6Q2Eju63tW6NXtV5wtXLDKe9Q/LzfB0Gxb6QCXlalYUr76rCjSWtEwR048AyTJp1GfHw6X2aVyVgu7/z5bSF3WCviM/8DXpwQL2vqAUP/BSxrVfSWqbwiBb4LFy5Ez549C71cW1sb7dq14z+LFi2Cn5/fZ+8zPT0dDx8+xJw5c6TWd+nSBXfu3CnwNi1atMBPP/2EM2fO8JHh8PBwHD58+JPbxoJy9pMtPj5eUsSd/RDlln2c6VirBkU/3hHJEbwiw9E3R/E+4X2B16lvUR+TGkxCM5tm0FDTwI03kejz7x28DEmQXIcFBP0b2mFG55qwNxVXaVDUfaLMx5sUTXx8GqZNO4vduz+mCwCoXNkYu3f3Q+vW4jPMcvccuLYEap7b+K8idQ1g0E7A3lUcEJMiKatjWqTA91OBZV4WFhb853MiIyMhFAphbW0ttZ4th4aGFhr4shzfwYMHIzU1FZmZmejTpw/WrVtX6OOwkeMFCxbkWx8X97GcCFH6F05iYiL/XS4Kl5MypYjHOz49HjdCbmCXzy6EJIfku9xQ0xBtbduinU07NLFsAg32Icom9rwJx5qr/vB4L/1e1rKaCaa3dUQtazZxJh1xceLRMWWkiMebFM+9e8GYOPE8AgLEg1bMF1/UwooV7WFsrC2Xn+VaXrugd32pZDm5ywpkWDVlgUeFbpeiiSuj/VXsyW1sVHfMmDE8lYHl+JZW3jcr9kZW2BsYy/1laQ7z5s1D165d+YS477//nuf5bt26tcDb/Pjjj5g5c6bUiK+DgwOfGMd+iGp8Y2THmj4YlZ+iHG9hlhB3Qu7g2JtjPJUhUyQ9AY1xs3bD4NqD0d6hPTTVc0oeeQfGYs3lt7jyKlzq+vXsjDCne220cPr8wIOyUJTjTUomLS0T48efR2CgOOg1MtLG8uVtMW5cM/k93s+PAVfnSRZFXX+HXrNRFbpJpJSBb5MmTfDDDz9g2rRp+PLLL3mObvPmzYt7N3xUWCAQ5BvdZekLeUeBc4/esklwLNhl6tevD319fV4FgqVY2NjYFJiGwX7yYi8auX3hEJnKPtZ0vFWDvB5vNintYdhDXPS/iEM+hwq8jp2BHdrat+UBbzVj6Rqk/pFJWHXJByeeBEutdzDTxfdda6NXPRuoq8vX36zKx5uUno6OJrZu7YOuXfegZUsH7N7dH6amcny8fa8CRyewcFe83GoG1NynVPRWKSy1MjrGxQ58//zzTz6Z7PTp09i+fTvatGmD6tWr81HgESNGFBq05qWlpcWD6IsXL6J///6S9Wy5b9++Bd6GlU/T0JDeZBY8y2V+DyFE5bFJaizYZW2D2U9sWmyBFRnYBLWujl1Rz6Jevjd7Vp1h5YXX2OMRAGFWzvucjbEOvmnnhMFuDtDWEL8PEqLI2Od4amomdHVzznB06eKE8+eHo0OHqhAI1OQytYELegQcHA5kV11pNBzoOL+it4oUQE1UyogxIiKClyFbvHgxz9nt0aMHT0fo0KFDkcqZsWB5w4YNvA7wpk2bsHnzZjx//pyXRGNpCqxk2a5du/j1d+zYgfHjx/OyatmpDqwcGqs44eHhUaTtZakO7LRYbGwspTqoAPb0Zm+UdCpUNcjL8f6Q8AEnfU/ilO8pXoIsLy11LbS0a8nTGHo59ZJKZcgWnZSODdd9ccjzA2KTc0qTmehpYkanmhjSlAJeeTnepPSio1N4xYaUlEycPDmkwOMpt8c7yhfY2gVIjhQv1+oBfLkbEFCPsNJgx9rExIT/a2Qkbq0uC6U6KqymLxv13b9/P6/ty8qdsWCU1dj95ptveGOJT2GT1KKiovDbb7/x29WtW5dXbMiuA8zWBQSIa/Ux7P4TEhLw119/YdasWXyHsAB76dKcJHJCCKmotsEsX/fY22PwCPGAKPt050e6GrpoY98GHRw6oK1DW+hrFty1iY3qHngQgJ+OPZO+vaYAk9o6YUwrRxjqUJtTojyuXvXDiBHHEBQkrkyyYYMnvvnGDQohPgTY3S8n6K3cAvhiGwW9yjTiy3Jwd+/ezQNe1j2NBbmsDi8bgc3+Bnbp0iX069dPMttWntCIr2qR2xECohTHmz0eC3bXPVmH93HvkZ4lXUFBXU0d7jbu6FmtJx/dNdD6dPOIB/7RmH/iOV6E5MxgZ9rVssSifnVhb6pXJn+HoqLXt2JLTxfi55+vYMWKO5IqX6amOjyvN3cbYrk93imxwPYeQPhz8bJVHWD0GUDXpKK3TCnEycuIr729PZycnHhOLxuBZS2L82ratCnc3BTk2xohhJQgleHE2xPY6L2xwMvtDewxsOZA9HHqAys9q8/fX3Qylp9/jZNe0hPX+jSwxfdda8HBjAJeolxevYrE0KFH8PhxzgR3lse7c2c/2NvLLsgpMxkpwP4hOUGvSWVg+BEKehVAsQPfy5cv8yoKn8Ii86tXr5ZmuwghRK4kpifinP85XoLMOzKnkH5ubFR3hMsINLFuwkd7PycpLRPrr73F5pt+SM/Mkqx3tjHCgj510LSqmUz/BkIqGhu13bjxIWbOPM/zeRlNTXUsWdIRM2a4K0ZlEmEmcHgMEHBXvKxnAYw4DhjlryxF5E+JRnxZikONGjWk1rN1mpqavKUwIYQoy4f0k4gnfHSXdVRLE+Z0gczdSa2LYxd8WetLnsdbFFlZIhx7HISl514hPCFNauLa/7rUwldNK0OgCAEAIcWsyzto0L84dcpHss7Z2QJ79w5Ao0YKEjSynIzT3wKvz4iXWfrS8MOAuVNFbxkpq8CXpTewNIe8gS+rqrBlyxZcu3atuHdJCCFyN7p7xu8MDvscxsvol/kur2VaC92qdkPPqj1hY1C8D+xHATFYcOoFvD7klDbTEqhjdCtHTG5XHca5SjkRoky0tTVgaJhTV3/yZFcsX94FenoK9Jy/vAB4vEf8u0ALGLIXsG1U0VtFyjLwffz4MW8ikRdrYjF16tTi3h0hhMjN6O6zyGc4/OYwzvqdRUpmSr7rDKk1BP2q90MdizrFvv/g2BSex8tGenPr7GKNn3o4w9Gi4CoPhCiTv//ugTdvojBvXlv06lUTCuXu38CtVR8X1IABm4Bq7Sp4o0iZB75sJiUrKZYXm3XH6vgSQogiiUuLw64Xu7D16VYIRfnfw+qa1+W1dlmTCWPt4rc5T0kXYuMNX16TNzUjJ4+3prUB5vWqg1Y1VKfFMFEt3t5hCA5OQLdu1SXrTEx04OExTj6qMhSH10Hg/Nyc5Z4rgDo5zbeIEge+bGIbax3Mavdmd01jAS9b16pVq7LYRkIIkXn74FuBt/jI7tUPV5EqTJW6nNXYZYHuwBoD4Wyev6xSUUeQT3uHYMmZlwiOS5XK453ZuSaGNq0MDcHnJ8ARomhYDvuaNfcwZ85l6Otrwtv7G6lKDQoX9L65CJyYnLPcdg7gNq4it4iUZ+DL2hWzNsW1atWSVHe4efMmr4975cqV0mwLIYSUKf84fxx9cxT/vfsP4Snh+S53MnZC/xr9MajmIOhplryE2LOgOCw49RwP/GMk6zTU1fC1uyO+7VgDxoqU00hIMbAR3lGjjuPixXeSWr2//34T69f3VMz9+OEBcOhrIEtcgQKuY4B2cyp6q0h5Br4uLi7w9vbm3dO8vLygq6uLr7/+muf3mplR6R1CiPx1VLsUcAnH3x7Hg9AH+S5n6QtsktqQ2kNQ1bhqqR4rKjGN5/Ee9PwgKcjPtKlpiXm9nFHdyrBU90+IPDt+/BXGjTuJqKic/PhZs9yxeHEHKKSI18C+QUBGsnjZpS/QYwUbsq7oLSPl3bLY1tYWv//+e2kelxBCyowwSwiPUA8e7N4IvIHkzI8fXB9pqGnw9sGsyQTrrKYpKN0ILEtrOPM0FD8df4rY5AzJ+qoW+villzPa17JSvNO7hBRRUlI6Zsw4j82bH0nW2dgYYNeu/ujUqZpi7se4QGB3fyDl41mbqm2AAZsBdXGKJ1GxwDc2Nhb379/n7YuzsnImazBs9JcQQipCaFIoDrw6gLOBZxGSFJLv8ipGVfBFjS/Qp3ofmOnI5gyVX2QSfjv1HFdfR0jWGWhr8JSGkS0coaVBebxEeXl6BmPYsKPw8YmSrOvfvzY2b+4Nc3MF7TiYHC0OeuM/VmCxaQAM3gto5JRiIyoU+J46dQrDhg1DUlISDA0NpUYx2O8U+BJCynuiGhvVXftoLfzi/CCCKF8qQ8fKHXkZsoaWDWU28pqcnom/r77F5ht+SBfmDAB0q1MJv/WrAytDHZk8DiHyKjU1E3367EdISCJfZvV4167thjFjGinuGY70JGDvICDyY5MNs2rAsCOAjgK0USZlE/jOmjWLN7BgqQ56egr6bY4QovACEwJx5M0RPlktOjVa6jLWLrilbUtelaGNQxtoqstuMhlLazj/PIxPXgvJVa2hkpEOfunlgh71Kinuhz4hxaCjo8EnrfXvfxBubra8A1uNGuaKuw+FGeKJbEGe4mUDa2DEMcDAsqK3jFRk4BsUFITp06dT0EsIqZjR3Q838K/Pv7gTfCff6K6FrgWaWjbFd27fFbujWlG8i0jkXdeu++SkNWgK1DC+dTVMaV8d+tolyh4jRGGwKg1aWjl5rv361caxY4PRs2cNaGoqcP4rS9s8Phl4e0m8zGp2Dz8KmDpW9JYRGSv2u3TXrl3h6emJatUUNGGdEKJwghOD+ejusTfHEJGSE3RmT1Rr69AWX9T8As0rNUdiQiKM9YvfaOJzaQ1/XXmLLTel0xra1rTE/N4uqGZpINPHI0TexMWlYurUs0hLy8TBg19IndVgwa9CYyVYLvwEPD0kXhZoA1/tByrVregtI/IQ+Pbs2RPff/89Xrx4gXr16kFTU/oUYp8+fWS5fYQQFR/dZQHvraBb+UZ37QzseCoDq7vLRnqz0xBk7dyzEPx26oVUEwpbYx3M7emMnvVsKK2BKL3btwMwfPgx+PvH8uWePb0wcmRDKA3WhvjeevHvaurAoO2AY8uK3ioiL4Hv+PHj+b+//fZbvsvYN0BqW0wIKW0L4X2v9uHgq4OISs2ZKc4I1ARoa98Wg2oNQgvbFjyXt6zEJWfglxPPcNIrOF9aw9QO1aGnRWkNRLllZAixcOENLF58k3djY4yMtHlur9J4tBu4vCBnufcaoLaCNtsgRVLsZ2/e8mWEECILr6Nf48DrA7yrWkpmTgF8xkbfBgNqDOA/VnpWZb7DH/hH47sDTxAUmyLVhOJXSmsgKuLt22gMH34UHh4fS3oBaNnSAXv2DICjowmUwqszwKnpOcsd5wGNqSSrsivV17bU1FTo6FDJHkJIydMZLr2/hEOvD8Ez7ONM6lyjux0qd+DBLmsyISiHwvExSelYeu6VVOc1Ix0NLOxXF30a2FJaA1F6LF1ox44nmDbtLJKSxM1YBAI1/PprO8yZ0woaylKX+v0d4PBoQPRxMK/ZN0CrmRW9VUQeA1+WysBKmW3YsAFhYWHw8fHhE91++eUXODo6YuzYsWWzpYQQpRGTGoPDPof5CG94crjUZboaurzm7gjnEXAwcii3bWK5vD8de4aopHTJOjdHU6wZ0gi2Jrrlth2EVGRd3hEjjuHw4ReSdU5OprxMWbNm9spxYFjJskc7gQu/AJkf8/brDQK6/k6tiFVEsQPfxYsXY+fOnVi2bJkk35dhE91WrVpFgS8h5JPpDHtf7uXpDOlZOQEm42jkiK9qf4W+1ftCX1O/3PZifGoGxmx/AM/3MVKd12Z0rolRLRwhUKeavEQ1aGsLeF5vtrFjG2H16m4wMNCCwmNpmi+Oi/N5Y/xz1jt1BPquB9SVZCSbyD7w3bVrFzZt2oSOHTti0qRJkvX169fHq1evint3hBAlJ8wS4tqHa9jzck++dAY1qKGdQzsMcx6GppWalnsqwaOAGHx74DE+ROfk8nZytsbi/nVhbURpXES1sNffli198PbtDixY0A4DB7pA4WWmA88OAzf/BKLeSl/GRnp7rQY0lCCwJ2XbwKJ69eoFTnrLyBDnAxFCSEJ6Ak68PYHdL3YjOCmnMgJjqGnIy5ANqT0EDobll86QTZglwsYbvvjzgg//nW+TtgZ+7uWML10dKJeXqIRXryIRFpaItm1zmjRYWOjB2/sbqCv6mQ6W0vDsKHD9DyD6nfRljq3FE9kcmlbU1hFFCnzr1KmDmzdvokqVKlLr//33XzRq1EiW20YIUUDv4t5h/8v9OOF7Il91BpbOwEZ3+zj1gZ5mxbQ8D41LxXcHH+Peu5w2x65VTLFqcEM4mFEbdqIaE9g2bnyImTPPw9BQG97ek2BtndOERaGDXpbS8PwocGUREOMnfVmVVkCr74DqnSifV4UVO/CdP38+RowYwUd+2Sjv0aNH8fr1a54Ccfr06bLZSkKIXMsSZfEmE/te7sPt4Nv5Lm9l1wrDnYfD3da9TGvvfnIbs0Q48igQi/57ibgU8dkpllkxpV11fNepBjQElONHlF94eBLGjTuJU6d8+HJKSiav1fvXXz2g0FgZFp9zwOXfgPCcyXmSgLfDT0CVFhW1dUSRA9/evXvj4MGDvLIDyweaN28eGjdujFOnTqFz585ls5WEELlOZ9j/aj8CEgLyVWfoVa0XT2eoaVoTFelDdDJm/euF+345o7w2xjpYPbghmlUzr9BtI6S8nD37BqNHn0BYWJJk3ZQpbli2TIE/u4WZgNd+4M46IPJ1/pSGtj8AVdtU1NYRZanj27VrV/5DCFFNfnF+PNhlQW9yZnK+VsKsOgMrSWasbYyKPqW71yMAS868RFJ6zmz13g1s8VufOjDVp0ktRPmlpGRg9uxLWLfuvmSdlZU+tm3rg549K/ZLaalyeF+cAK79AUS9kb7MpgHQ6VegWntKaSD5KFHfQUJIWQeRLI2BVWe4HZQ/naGZTTMMqz0MbezblEuzic8JjEnG7CPeuP02p+2xvakulgyoh9Y1LCt02wgpL15eoRg27CieP4+QrOvRowYPenPn9SoMVnv30QngxnIg7oP0ZfZNxTm8tXpQwEtKF/iamZnxRhUWFhYwNTX95Izn6OicU4mEEMWXmZXJR3YPvj6Il9Ev86Uz9K7Wm4/wVjfNX+2logL0o4+CMP/kcySmZUrWf9XUAXN7OMNQR7NCt4+Q8hzp7dJlD8/rZXR0NLBiRWdMnuymeJVL0hKB22tgdH8T1FJjpS+r7A50nA9Uca+orSPKFviyxhSGhoaS3xXuBUMIKVF3tXP+57Dt2TaEJoXKbTpDbtFJ6fj+2Ctc8ZHO5f1jYH20rUmjvES16OpqYtWqrnzEt0EDa+zbNxAuLgr2OkiJAe5vBu79A7WUaEhFH6w6Q4tpQLV2Fbd9ROGoidjwiAqJj4+HsbExYmNj+b9EubGnd1xcHD/W9IWtaHxifHDo9SE+wpuXibYJfmn+CzpW7igX6Qy5XX0djh8OeyMiIU2yrl9DW/zWry6MaJRXKdHrOz+hMAuCPBVK9u71xhdfuEBbW4GyGxPCgEu/irutZeTMIxCpawJ1+0PNbQLg4Fahm0jKFvvsNjEx4f8aGRnJ7H6L/So4c+YMBAJBvsltFy5cgFAoRPfu3WW2cYSQ8gsgzvufx7rH6/JVZ2Ba2LbA1y5f83/l7QtESroQS86+xK677yXrTPU0sbh/PXSvW0nutpeQspCUlI4ZM84jIyML27f3lbps2LD6irPTE8OB83OBp//mu0hUbxASGk+BoWNDyuEl5Rf4zpkzB3/88Ue+9aymL7uMAl9CFCt/91LAJWx4sgG+cb75Lh9cazB6O/VGA8sGkEfPguIw4+ATvAlPlKxrWc0EKwc3hrWxboVuGyHlxdMzmKcz+PiIJ3L26FEdgwbVUawDEBcE3FsPPNginsCWW62eQNfFgKkjsuLiKmoLiaoGvm/evIGLS/7+3bVr18bbt3n6YBNC5FK6MB1H3xzFjuc7EJQYlO/yqQ2nYqjzUBhqiXP75U16ZhbWXPbBhuvvJC2HtTXU8VMPZ/R2NoaJkU5FbyIh5ZLWsGzZbcybdw2ZmVl8nZ6eJtLSckr3yb3gx+Jg1+sAkJUzGRUaOkC9L4DW/wPMqorXqVZmJpGXwJflSr579w6Ojjm9vRkW9Orr68ty2wghMhafHo9Tvqew+8XufAFvQ8uGGO4yHJ0qd5K7/N3cAqKSMXnfQzwLipesq13JEH8NbQQnSwOeD0aIsgsIiMOIEcdw40ZOio+rqy327h2AmjUVoClL0CNxSbLXZ6TXC7QB1zHismSGlSpq64gSK3bg26dPH3z33Xc4duwYnJycJEHvrFmz+GWEEPnzJuYNdr3YheNvj+e7rLlNc4ysM5K3FZZ3V16F4dv9T5DwsUyZpkANU9vXwDftnKCloc5zlQlRdgcOPMOkSacRFyeeyMnS2OfObY3589tCU1N+v7QiKwt4eVKcwxuf50wTqw7TdBzQbBJgYFVRW0hUQLED3+XLl6Nbt248tcHe3p6vCwwMROvWrbFixYqy2EZCSAm9jXmLTd6beFkyEaSDwpZ2LTG90XS4mOdPXZLH1IYVF15j6y0/SWqDo7ke/hraGHXtqDoLUZ26vBMnnsbu3d6SdZUrG2PPnv5o3boK5FZGCuB9ELi9FojOM5fAwBpo8z1QfzCgI7uZ+4TINNXhzp07uHjxIry8vKCrq4v69eujTRvqhU2IvExY++/dfzjhewIPQh9IXaanoccDXlahoaFVQygCNoHtf/964VVogmRdr/o2vAMbNaMgqoSVIwsLEzejYIYOrYe//+4BExM5zWlPjAAe7QDubQCSI6UvM3MCXPoAbecAmnK6/UQplaioHysP1KVLF/5DCJEPacI0nr+79elWBCYGSl1mqm2K0XVHY1DNQTDQUow2pSxt4cCDD7wDGxvxZTTU1TCjc01MbudEZcqIylFXV8OOHX3RuvV2LFjQTn7LlLEKDfc3ihtP5KrBy1VpCbSaIW4+QaUGibwGvmvXrsWECROgo6PDf/+U6dOny2rbCCFFIMwS8u5q+17tQ2SK9KiKg6EDhtQagkG1BvH2wooiJikdPx9/hv+ehkjWudgYYdkX9Sm1gaiMt2+jERWVjGbNxGmFjI2NIV69mgoNDekmFXIT8N5ZC3huA4TpOevV1AGXvuIua3ZNKnILCSla57aqVavC09MT5ubm/PdPjQSzig/yjDq3qRZl7uyUkZWBXc938Ulr0ak5LXqZZjbNMKn+JDSxbqJwf/edt5H49uATqQ5sI92rYG5PZ2hrCFT2eBPVOd7s79qx4wmmTTvL0xi8vb+BmZkcf3ENfcpbCuPpYUCY87qFmgBoOl48YS27JFkpKOvxJnLYue3JkyeS9r5+fn4ye3BCSPElZSTxlIaCavDWMK2B31r8hroWdRVu17JJa39deYvVl30k5TpN9DSxhHVgq2dT0ZtHSLmIjk7hE9gOH37Bl5OSMrBgwTWsWSOHXVHf3wGuLwPeXc1fkqz5N+IfKklG5EyRAl8zMzOEhITAysoKHTp0wNGjR3kUTggpP6FJofjr8V980lpehpqGWNhqITpW7qiQh+RDdDK+PfAYjwJiJeta17DAikENYE3NKIiKuHrVj9fmDQrKmcg5dmwjLF7cUb5KkvmcE3dZ878pfZmOMdBkFNBiOqBvUVFbSEjpA18DAwNERUXxwPfatWvIyMgoys0IITLARnU3e2/mAS+r2JBbC9sWGFdvHFytXRX21N/hh4H47dRzxKeK/zZ1NWBGp5qY0r46n8xDiLJLTxfi55+vYMWKO5KzHaamOti8uTcGDnSRn5Jkz48Dt9cAES+lLzOpIs7fbTAE0JbPbo+EFCvw7dSpE9q3bw9nZ2e+3L9/f2hpaRV43StXrhTlLgkhn/E6+jVWP1qNW0G3pNZrqmuie9XuGFxrMOpbyums7iJISsvEvBPPceRRTgWKSkY6vAObq6NZhW4bIeXl1atIDB16BI8fh0rWdehQFTt39oO9vRzUtU2JEZcje7AZSI7KX5Ks9UxxDV6BZkVtISGyD3z37NmDnTt3wtfXF9evX0edOnWgp6dXvEcihBSJT4wPNnptxIX3F6TWC9QEPOCd5ToLFrqKfRrx0oswXqYsKDZFss69mjk2jGgCY136ACWqITk5A23abEdEhLjkl6amOpYs6YgZM9wr/mxHQijgsRHw3Aqk5mkDbt9UHPDW6ALIcXtzQkoc+LLUhkmTJvHfWXWHpUuXUo4vIWWQw/v3k79x0vckskTiurXZ+bs9qvXApAaTFD7gZbOyd997z0d6s2lrqPNmFP0b2SlsugYhJaGnp4nFiztgwoTTcHa2wL59A9GwYaWK3ZkBHsCjnYD3ISArV1qjuoa4JJnbeKByc6rBS5Q78DU1NZVMbqMPJkJk613sO6x8uBLXA69LrTfXMcfIOiN5SoOepuKfYUnLFGLe8ec46PlBqjbvP8Mbo4q5foVuGyHl+eUv9+fouHGNeV7v8OH1eSBcYcJfAtf+AF4cl16vrgk0GCxuK2zqWFFbR0jFTW5jqQ40uY0Q2VVpOPXulNQIL/Nt428xtPZQpQh4mfD4VEza81CqasPENtXwQ7faEFT0KV1CykFKSgZmz77EA99163pI1rMgeMKECmrqwCLud9eAa0uADx75L281E2g6ATCicoJEhSe3sRctTW4jpORCEkOw6ekmHH97XKpKg4GmAfpV74cJ9SfAVMdUaXbxw/cxmLz3IcLi0ySpDUsH1ke/RnYVvWmElAsvr1AMG3YUz59H8OVu3aqjZ8+aFVuS7M0FcVth3zwT0vWtgJbfAk1GUoUGopRochsh5SQiOYK3Fj74+iDvupY74B1bbyy+qv0V9DWV65T/Ic8P+PnYM6QLxSPatsY62PS1K7UdJiohK0uENWvuYc6cy7xkGaOjoyGZzFYhJcm89gN31wNRb6Qv0zUTd1ljQa+Wcr0PEVLswFdXV5cmtxFSQqmZqTzYXf9kPZIzcz7wWJDLgt2vXb5WqhFeJlOYhSVnX2HrrZxOj02rmmH9sMawMNCu0G0jpDwEBydg1KjjuHjxnWRdgwbWfAKbi4tl+R6E5Ghx/i4b4c3LyA5oO1tcg1eDXptE+RUp8M3t6tU8rQkJIQViaQwn3p7ABu8NPJ83m7ZAG8Och2FM3TEw1ha3AlcmcSkZmLb/MW74iE/rMl+7V8EvvVygKVCv0G0jpDwcO/YS48efQlRUTrm+WbPceQUHbe1if+yWXHwIcGct8HAHkJFnlLlKK6DFVKBGV0CdXpdEdRT5Feji4oJbt27x9sXMhAkTsHjxYlhair+5hoeHw9HREcnJFXQKhxA5wfLgbwffxp+ef+Jt7FvJejWoYVDNQfim4TcKX5asML4RiRi/0xPvIpP4soa6Ghb0rYNhzapU9KYRUuZSUzMxffpZbN78SLLO1taQN6Po1Kla+R2BaD/g9HeA/23pkmRqAnHtXdZlzbFl+W0PIYoY+L569QqZmTkTcQ4cOIA5c+ZIAl/2YZ+amlo2W0mIgvCK8ML82/PhG+crtb6lXUvMaDwDtcxqQVld94nA1H2PkPCx9bCpnib+Gd4EzauZV/SmEVIuWAMK1oktW//+tXnbYXPzcqrOEnBP3FL49Rnp9QJt8WQ196mAKX0JJaqtxOdcWKCbF9X4JarqacRTbPTemK8Wbz2Levje7Xs0smoEZcXeC1gu7+9nXiLr49tC7UqG2Py1KxzMlKMcGyFFIRCoY/fu/mjZchsWLGiHMWMalc/nIms6cXUx4Cf9/gNWDrHBV0C7OYCBVdlvByEKoByTjQhRzuYT/3j9g3P+56TW2xnY8Tze4c7DlfoLIWtK8dOxZzj8MFCyrouLNVYObgiD8sxlJKQCvH8fi5iYVKlua1WqmMDXd3rZ5/KywSevA8DjPcD7W9KXGVgDzSYCjUcB+nTGhZDcivzKZB/eeT/AlfkDnZBPCU8OxwrPFTjrd1ZqfSX9SnzSGsvl1WAtPpVYQFQypu5/BO/AOMm6aR2qY0anmlCnphREye3f/xTffPMfzMx08eTJJBgZ5VREKNOgNzUO8NgEPDsMRLySvsykCtD2B6D+YEBQgV3gCJFjGsU5ndmxY0doaIhvkpKSgt69e0NLS4sv587/JURZRaZEYteLXdj7Yi/Ss9KlLvup2U8YWGMgNFXgA4dVbJiSK59XS6COP79sgN4NbCt60wgpU3FxqZg69Sz27PH+uJyGBQuu4c8/u5btAwszAI+NwIWf8l/GJq31WQfUGwRoiD+TCSGlDHznz58vtdy3b9981xk4cGBR744QhZImTOPNJ7Y/246UzJwSRToCHQypPQTj6o1TytJkRcnntTPRxbqhjdC4snLVIiYkr9u3AzB8+DH4++e03h46tB7mzWtbdjsrMRx4uBN4uB2ID5K+TM8c6Pkn4NyXSpIRUtaBLyGqIEuUxdMZ1j1eh6DEnA8dLXUtDK49GGPrjoW5rmrk0LF8XtaF7d9c+bwdalvhz0ENYKpPo0xEeWVkCLFw4Q0sXnyTd2NjWGrD+vU9MGxY/bJ50Agf4M4awOugdEkyqAF1+otr8No1KZvHJkSJKXcSIiGlcDf4LpY9WCZVi1dDTQODag3iebwsn1dVRCSkYdKeh3j4PkayjvJ5iSrw9Y3GsGFH4eGR88W3VavKvHqDo6OJ7B8w/JW46QRrLSwSt/qWYM0mOs4DKtWV/eMSoiIo8CWkgDzeH278gAehD6TWN6vUDD80/QE1TWuq1D57FhSH8bs8ERInrtOto6mO5V9QPi9RfklJ6WjefCsiI8WNmQQCNV6mbM6cVrx0mUyFvxSXJHt5Snq9jjHQZBTgOpZq8BIiAxT4EvJRckYydr7YmS+Pt455HUxpOAWt7FqpXCWT/7xDMOvfJ0jNEI882RjrYNMIV9SzV/58ZkL09bXw88+t8d135+HkZIp9+waiaVM72e2YrCzgzQVxS2Ef6Qox0DYCWn4LNJ0A6BjRwSBERijwJSovIysDO57twJ6XexCdGi3ZH7oauvi28bcYUmsIBOoCldpPLI9x9eU3WHv5jWRdo8om2DiiCawMdSp02wgp6wmcub/gTpvWjL8exo9vAgMDLdkFvC9PAtf+ACJe5q/B22K6eJRX20A2j0cIkaDAl6g0jxAPzLk5h6c3ZBOoCfBFzS8wsf5EWOqJW3KrkpR0If73rxf+exoiWTegsR1+718POpqq9QWAqI70dCF+/vkKr0H9xx+dJOvZ8owZ7rJ5kMx04Okh4NZqICrnSyVnZAc0nwy4jgG0qOMhIRUa+K5du7bIdzh9+vTSbA8h5cI/zh9/PvwT1z5ck1rf2Koxfm3xK6oaV1XJIxGekIpxOz0lTSlYH4ofuztjXOuqKpfmQVTHy5cRfALb48ehYE/zrl2d0L69DN8D0hKBRzuB22uBxFDpy+zdgFYzgBpdqOkEIfIS+K5atapId8Y+GCnwJfJej3ej10bseL6Dpzhkq21WGz83/xkNLBtAVb0NT8Co7Q8QGCPOb9bTEuDvYY3RvpZVRW8aIWWW1rBhgydmzbqAlBRxMxYNDXX4+sbIJvBNjAAebAHubwJSctKouCotgZbfATU6sw/P0j8WIUR2ga+fn1/R7o0QOf6Au/D+AlZ6rkRwUrBkvaWuJaY1moa+1ftCXU3Gs7QVyL13UZiwyxPxHzux2RrrYOsoNzjb0KQaopzCw5MwduxJnD7tI1nn7GzBJ7A1bFjKUoUx74F76wHPbYBQusMjavcST1pzaFq6xyCElAjl+BKl5xvviw33N+BeyD2pBhQjXEZgQv0J0NNU7Xy644+D8MNhb6QLxZUbXGyMsH20G6yNaBIbUU5nz77BqFEnePCbbfJkVyxf3gV6eqVoOR78GLizDnh+HBAJpVsK1/tCnNJg5VzKrSeElHvgGxgYiJMnTyIgIADp6dLfZleuXFmqDSJEluXJ/vT8E0feHIEw14cQazyxsfNGVDOuBlUfBV910Qdrr+Q06Ghb05KnNxho03dionxSUzPxww8XsW7dfck6S0s9bNvWF716lbA+t0gEvPoPuPcP8P6W9GUaOoDbOKDpeMDUsZRbTwiRhWJ/ul2+fBl9+vRB1apV8fr1a9StWxf+/v78Q7Rx48Yy2ShCSuvy+8tY5LFIqlqDjb4Nvmv8HbpX7a7yE7XSM7Mw54g3jj7O6UY1tFll/NanDjRkXZifEDnBGlDcu5fTcrtHjxrYtq0PrK0NShbwBtwDrizKH/DqWYjr77IKDQaqVxmGEKUKfH/88UfMmjULv/32GwwNDXHkyBFYWVlh2LBh6NatW9lsJSFFFJMag989fsc5/3NSaQ0spWFknZHQYSMwKi4+NQPf7HmI22+j+DKbV/NTD2eMbUWVG4hy09QUYO/eAWjRYht+/bUtJk92K/6X4Mw0wPsQcPfv/DV4LWqKS5I1GAJo6sp02wkhFRT4vnz5Evv37xffWEMDKSkpMDAw4IFw37598c0338ho0wgpusysTBx7ewxrHq1BXJq4FBdT16Iufqz/I+rZ11P5UV4mLD4VI7fdx6vQBL6sraGONUMaoltdG3q6EaUTHJyAuLhUODvnjLrWqGEOf/9veVe2YkmOBh5sFVdoSAqXvsysGtB5IVCrByv8K6OtJ4TIReCrr6+PtLQ0/rutrS18fX1Rp04dvhwZmXNamZDy8jr6NX6+/TNeRb+SrNMR6GB8/fEYV3cc4uPj6WAACIhKxrCt9/AhWlyuzFRPE1tGuqJJFTPaP0TpHDv2EuPHn4KVlT48PSdITVorVtAb+0FcoYG1Fc5Ilr7MoZm4w1rdgYCGtgy3nhAiN4Fv8+bNcfv2bbi4uKBnz5487eHp06c4evQov4yQ8py8tu7xOux7tQ9ZInFFAqabYzd87/Y9rPSseO45AZ58iOWNKSITxV9a7U11sWtMU1SzpJaoRLkkJaVjxozz2Lz5EV+OikrBb79dl+rGViQh3uJ0hqf/5qnQoA449wbcpwEObjLeekKI3AW+rGpDYmIi//3XX3/lvx88eBDVq1cvcqMLQkrrpO9JLLq3CCmZ4tFLprpJdd6Eool1E9rBuVz3icCk3Q+RkiH+8K5hZYDdY5uhkjHlOxPl4ukZzDuw+fiI89eZ/v1r4/vvWxTtDrKEwNvLwO3VwPvb0pex+QGNvxbn8JqpZmdHQlQy8K1WLacElJ6eHtavX1+qDWC3X758OUJCQnjKxOrVq9G6detCr8/SLFg+8Z49exAaGgp7e3v89NNPGDNmTKm2gyiGsKQwrHy4Emf8zkitn9pwKkbXHQ0tQTHz9pTcKa9gzDz0BBlC8ch3s6pm+Gd4E5gVN7+REDkmFGZh+fI7mDfvGjIzxWd/WGrD2rXdMGZMo8/n92ekArdWAs+PAZE5DS04XTNxhQZWkkzfogz/CkJIeShxsU5Wvzc8PBxZWTmnmJnKlSsX+T7YSPF3333Hg9+WLVti48aN6N69O168eFHo/Xz55ZcICwvD1q1b+Sgz24bMTHG3KaK8WMrCqXen8NOtn6TWs1HeRa0WoY65OM+c5OyvLTf9sPhMzqzzbnUqYfWQhtDRFNBuIkrjw4d4TJ16DDduBEjWubnZ8uoNbCLbJ6UlAB4bgRsrgFxnjzjzGuKAt9EwQEu/jLaeEFLe1ETFTIL08fHB2LFjcefOHan17G7Yt2qhMFcu1Gc0a9aM1/79559/JOucnZ3Rr18/LFmyJN/1z507hyFDhuDdu3cwMyvZhBw20cnY2BixsbH8XyL/WJWGWddmwSPUQ7JOQ00D89znoV/1fp8czWHPy7i4OH6si122SEEJs0RYePoFdtzxl6wb4uaAxf3rQaCu3PtAFY+3KouPT4WT01pERoqDVnbI585tjfnz2/LSZYVKTwJurwWu/1Hw5UP2ATW7Aer0JVGe0OtbtcTFxcHExIT/a2RkVHEjvqNHj+ZlzE6fPg0bG5sSf7iwEeOHDx9izpw5Uuu7dOmSL6jOxrrFubq6YtmyZdi9ezevMMGaaSxcuBC6urqFpkZkV6Fgsmf4sxcQTXySb8IsIf72+ht7Xu5BamaqZH17h/aY13wezHXFozmfOo7Zx1lVjnWGMAvfHXyCM09DJetmdKqBaR2q86BA2feDqh1vVWdgoIVJkxpi0aK7qFzZGLt390Pr1lX4ZQU+B4TpwKPdPOBVS4qQukhUrT3QdjZQOdckbXoeyRV6fasWURm9/ood+D558oQHrLVr1y7VA7PSZ2x02NraWmo9W2a5uwVhI723bt2Cjo4Ojh07xu9j8uTJiI6OxrZt2wq8DRs5XrBgQb717BsEkV8fEj/g90e/41nMM6n1/2vwP/R17AukA3HpcUV64WRPxlT2EcC0zCx8d+Ql7vrF8mWBGjCve3X0rW+lMiXdVOl4E/HxHju2FrKyRJgwoSGMjbULfm/PyoTm65PQPz9DarUIasio2QtpDUdBaOsqXkmfDXKLXt+qJa6MXovFDnxZGTNZ1uvN++GUnTJREJZPzC7bu3evJE2BVZn44osv8Pfffxc46ss6zc2cOVOyzAIABwcHfntKdZDPUV5Wnmzt47VIE+aM1Lexa4PZTWfDwdChRN8Ylf3UN+vG9u2hh7j3MejVUFfD+mGN0dlF+oulslOV462K2KS1hQtvQENDHb/80kbqeC9c2Lng450SCzzZA9xZB7XEMKmLRC59gXY/QtOyNnIq/BJ5Rq9vUiGB79KlS/HDDz/g999/R7169aCpKf2WUdQ8DAsLCwgEgnyju2yyWt5R4GwstcLOzk4qYGU5wezFEBgYiBo1auS7jba2Nv/Ji71J0gejfAlNCsXcW3PxIPSBZB0LdBe3WoxGVo1KfL/Zx1pZj/e7iESM3+UJ34gkSTe2baPc0LK6as5AV/bjrYp8faN5mTIPjyCoq6uhc+dqcHd3KPx4x/gDF+cDby4CGeLXhUTVNkDbOVBzbFnOfwWRBXp9qw61MnoPL3bg26mTuAh4x44dSzW5TUtLC02aNMHFixfRv39/yXq2zFofF4RVfvj333/5qUzWJjl7sp26ujova0YUu2LD8gfLEZsmHrFkhtYeim8bfws9Tb0K3T555hOWgKGbPSSNKVg3Nhb0NqpsWtGbRohM3ht27vTCtGlnkZiYztexz0IvrzBJ4Csl9Blwew3w9FD+y2r1BJp/A1QtvFwmIUT5FTvwvXr1qswenKUgjBgxgk9Yc3d3x6ZNmxAQEIBJkyZJ0hSCgoKwa9cuvjx06FA+kY1NsGN5uyzl4vvvv+c1fAub3EbkW3RqNBbcWYArH65I1lnpWmFx68VobkOdAD/laWAcRm6/j+gkcUBQ09oAm0a4wtGCSi8RxRcdnYKJE0/j8OEXknVOTqa8TFmzZnkGOsJfAmd/APxv5r+j6p2Bzr8B1i7lsNWEEKULfNu2bSuzBx88eDCioqJ4QwrWwKJu3bo4c+YMqlQRz8pl61ggnI2N8rIR4WnTpvFg2dzcnNf1XbRokcy2iZSfax+uYf6d+Tz4zd1u+KdmP8FEx4QOxSfc9Y3C2J0PkJwuPsNS396YtyA20aPGFETxXb3qhxEjjiEoKEGybuzYRli9uhuv5MCx/F6/G9C/sRJq/tek74C9fzSbCDSdCOh/ppYvIUSlFLuOr7e3d8F3pKbGqy2wxhMF5dTKC6rjW/FYm+Gl95fiyJsjknWGWoZY1HIROlTuINPHUsa6j3feRmL0jge8igPj5miKraPcYKRDU3SU8XirkvR0IX755Qrvwpb9yWRqqoPNm3tj4MCPI7bpyeL6u96HgIQQ6TvQNRW3FWZlyajphNKh17dqiZOXOr4NGzb85AcKm+zGRnJZFzYWCBOS28uol3wC29vYt5J17ezbYX6L+bDQVc3JWMXh6R+NMTtzgt72tSx5C2LqxkaUAStLdvbsW0nQ26FDVezc2Q/29kbigNfjH+Dyb/luJzKpDDW38UCTUYCO7D4gCSHKR724N2D1c1n1BJaPy2r6Pn78mP9eq1Yt7Nu3j7cSvnLlCn7++eey2WKisN/U97/aj2FnhkmCXj0NPfzq/ivWdlhLQW8RvAiOx6jtD5CaIQ56OzlbYeMIVwp6idLQ0dHAvn0DYWSkjRUrOuPixRGwt1QDriwCfrfJF/SK9MyR3GExMO0R0HI6Bb2EENmP+C5evBhr1qxB165dJevq16/Pqyr88ssvuH//Pu+oNmvWLKxYsaK4d0+UUGBCIE9tuBaYk4dX3aQ6VrRdAScTpwrdNkXxOjQBw7d6IDEtky+3qm6Bv4c1hpZGsb+7EiI3wsOTkJCQBiennBb0deta4f3772CiEQ9cXQjc25C/JJltY6DLIqBKC6THxUFXvdgfZYQQFVXsd4unT59KJp/lxtaxy7LTIdjENELuBN/BxIsTpXbEMOdhmNVkFjQFlJNaFG/DE/DV5nuS6g0NHUyw6esm0NYQ0BOMKKyzZ99g1KgTsLU1xL17Y6Gt/fHjKNoPJqwk2ZO94hbD2dQ1gTr9APcpgO3Hut7UUpgQUtaBL2tV/Mcff/D0BlaLl8nIyODrstsYsxJkhTWhIKohMysTyx4sw4FXByTrWGrDz81/Rm+n3hW6bYrkZUg8hm/xkAS9DRxMsGtsU+hp0QgXUUwpKRmYPfsS1q27Lxn1Xbz4Jn4bbwDcWQO8OgOIhNIBb8OvgNb/A0zzD7oQQkhxFPvTk7UG7tOnD09tYCkObKIbq/TAGlecPn2aX+fdu3eYPHlyce+aKImA+ABMvjwZ7+PfS9Y1tmrMUxss9SwrdNsULad32JZ7iEnO4Mt1bI2we2xTqt5AFJaXVyjvwPb8eYRkXY82xphitgrYel36yloG4slqzSYBJsVrVU4IITILfFu0aAF/f3/s2bOHd01jk5a++OIL3lzC0NCQX4c1pSCq6Zz/Ocy7PY+XLMs2ueFkTKw/EepqlI9aVN6BsRix9T7iUsRBbwN7Y2wfTUEvUdxqDWvW3MOcOZd5yTJGRxtY0esJJte5ArWcho2AvhXgNg5oNkFcnowQQmSoROdLWSOJ7O5qhGSnNqx+uBo7X+yU7BA7Aztem9e1kivtpGK4+joco7c/kCw3qmzCm1MYUp1eooCCgxMwcuRxXLr0TrKugU0U9vU/BRfLnOY1MK8BtJgGNPgK0KBGLISQCgx8T548ie7du/Mavez3T2FpEES1sJSGKZenSKU29KzWE/Oaz4Oepl6Fbpui8foQi7E7coLeunYsvaEZDLIn/hCiQOLiUtGw4QZERCRL1s1y98TiDrehrfExj7dqW8B9KlC9E6BOZ4UIIWWrSJ+m/fr1Q2hoKKysrPjvhWH5vizXl6iOi+8vYvaN2cjIEp+SZ+Y2m4shtYZQ56xiehQQg6823UPWx+L9LjZGODjBHfoU9BIFZSyIx4ROiVi8Xx22honY2e8cOlX72Ia+wVDAfTJQqV5FbyYhRIUUKfDNysoq8HeiuoRZQvx691ccf3tcss5W3xbz3eejhV2LCt02RfQsKA4jt92XdGSrZqGP/ROaU9BLFFPkW3GFBq+DmO+UgaxW7pjl/hDmhllAg5FA65mAqWNFbyUhRAXR+VNSbAnpCRh5biTexLyRrOtcpTMWtlwIfU192qPF9DQwjldvSEgVN6do4WSOLSNdqWQZUSjCTCGWzd0PnZA7mOG0jxXZ5es1BcDvXR4Adb8A2s2hkmSEkApV5IQqDw8PnD17Vmrdrl27ULVqVZ4CMWHCBKSlpZXFNhI5wvJ4Wdvh7KCXVWpgFRv+bPsnBb0l4BOWgJHb7yP+Y9Dr5mhKQS9RLFlCBFzcjw41JmPucl/M3meBxyEW4su0jcX5u996Af3/oaCXEKI4ge+vv/7K6/VmY13axo4di06dOmHOnDk4deoUlixZUlbbSeTAvZB7GPrfUPjF+fFlE20TbOmyBVMbTaV83hL4EJ2MUdvuS5pTuFYxxY7R1JyCKIgsIXB7DQ6M6Yv6vb1xw9+Wr87MUsedkGpAp1+BGU+BrosBI/FlhBCiMKkOT548wcKFCyXLBw4cQLNmzbB582a+7ODggPnz5/MAmSif/a/2Y+n9pRB+7KhU3aQ61nZYCwdDKixfEv6RSRi86S7C4sVnSWpYGfCRXprIRuSeMBN4dhjxVzdi6nYr7PZ2k1xU2SwVe/6ojNajT1NJMkKIYge+MTExUm2Ir1+/jm7dukmW3dzc8OHDB9lvIalQrFrDHx5/4JDPIcm6tvZt8UfrP2DAOiuRYnsflYSB/9xB1MeRXitDbV6yzESPapcSOSbMAB7vBs79iNvvzDD8WHf4xxpLLh7a2wJ/7xwDE1PdCt1MQgiRSeDLgl4/Pz8+spueno5Hjx5hwYIFkssTEhJ4nV+iPGJTYzHz+kw8CM2pKzum7hhMbzQdAnVBhW6bogqOTcHwrR6SoLemtQH2jGsGK0Odit40QgoPeJ/+C9xYgYwIPyy80RyLbzZFlkicKWdkIMD6f/pg2PD6tAcJIcoT+LLRXZbLu3TpUhw/fhx6enpo3bq15HKW/+vk5FRW20nKmW+sL6ZenorAxEC+rKmuiQUtFqC3U286FiUUmZiGrzbfw4foFEl6w78TW8BYj74wEjmUmQ54bgPurAXig/iqdKEGDj6vKQl6W7WqjN27+8PR0aSCN5YQQmQc+C5atAgDBgxA27ZtecvinTt3Qksr59Tstm3b0KVLl6LeHZFjNwJv4IcbPyApI4kvm+uYY02HNWhg2aCiN01hJaVl8jbE76PEHawqm+nxkV4KeolcBrz3/gYu5Z+voW9hjb3bu6PN4If46afWmDOnFQQC6rZGCFHCwNfS0hI3b95EXFwcD3wFAulT3f/++y9fTxSXSCTCzuc7sfLhSog+1uB0NnPmk9gq6Veq6M1T6KB30p6HeBoUx5crGenw5hTWRpTeQOQspcFjg3iUN/odXxWdooOkdA041HQUV2eo2hauamrw928NKyuq2U0IUYEGFsbGOZMZcjMzM5PF9pAKki5Mx4K7C3DS96RUU4pFLRdBT1OPjksJxSVnYMQ2D3gHioNeQx0N7BrbFHYmNAGIyNEI75M9wM2VQFzOBOWrfg4YcaovHKqY4+by76ChkTOyS0EvIURRFekc1aRJk4pcseHgwYPYu3dvabeLlKPIlEiMOT9GKuid3GAyVrRdQUFvKYNeVrIsd9C7fZQbaloblv6gEVJaKbF8whrW1AdOz5AEvelCdfxwvQc67h6EoBgt3HuSgKVLb9H+JoSozogvS3OoW7cuWrRogT59+sDV1RW2trbQ0dHhZc5evHiBW7du8dq+dnZ22LRpU9lvOZGJ19GvMeLsCKRkiidc6Qh0sLjVYnRxpHzt0sgUZvH0hlehCXzZwkCLlyxztjGSyXEjpMTiQwCPf4AH24B08fMz20u93hi2qzEeP89Z36FDVYwc2ZB2OCFEdQJf1rhi2rRp2Lp1KzZs2IBnz55JXW5oaMg7uG3ZsoUmuCkQVqZs2pVpUkHvzu474WLuUtGbpvC50ov+e4m776L4spGOBvaNb04jvaRiJYQB15cCj3YBWRk569XUIarZAxv9B2Dmr6+QkiIOejU11fH77x0xc6Y71NXVKm67CSGkInJ8rays8OOPP/Kf2NhYvH//HikpKbCwsOBlzNTU6I1RkVzwv4A5N+fwBhVMPYt6WNVuFaz1c5qUkJJZ/N9L7LjjL1n+e1hjCnpJxUmMAK4uAh7ukF4v0AIaDkV4zQkY9703Tp3KGdBwdrbA3r0D0KiRTflvLyGEyNPkNsbExIT/EMV04u0J/HL7F0nlhjb2bbC8zXLK55WBzTfeYcstP/47+y74e/96aF3DUhZ3TUjxJEUBp78FfK8C6YnSl7WaATSbhFihCRo4/43Q0JzLJ092xfLlXaBH9aUJIUqoRIEvUVzbn23n5cqy9aveD/Pc5/EGFaR0br6JwOIzLyXLMzvVxFdNK9NuJeUrIRTw2Ajcynmdcxo6QL1BQPufACPxSC4bvhgypA5Wr/aApaUetm3ri169atIRI4QoLQp8VSjvdPWj1dj2bJtk3ZBaQzC32VxKU5GBlyHxmLznkWR5VAtHTOtYQxZ3TUjRUxpurQIebgcyxI1SJCkNleoDg/dIAt7clizphKwsEebObQ1ra6rFTghRbhT4qgBhlhCLPBbhsM9hybopDadgYv2JFPTKgE9YAoZt8UBCWiZf7uRsjXm9aIIgKSfJ0cC5OcCLk8DHiaqcugbQaDjQYjpg7sSD2zWr7kJfXwsTJjSRXE1HRwNr1nSnw0UIUQkU+Cq5DGEGfrz1I877n5esm9ZoGibUn1Ch26UsvANjMXLbfcQkiycJNnQwwdqvGtIseFL24gKBq78Dr04DqeJa0ZIRXrdxgPtUwNiOrwoOTsCoUcdx8eI7Hui2bl0Zzs6Ue04IUT0lCnwzMzNx7do1+Pr6YujQobycWXBwMIyMjKhtsZx1Y5t5bSauB17nyxpqGvje7XsMdR5a0ZumFLw+xGLQhrtIF2bx5fr2xtg5pin0tOj7JClDieHAnXXAnbXS61mefvVOQJ91gEFOUHvs2EuMH38KUVHi0eDU1EweAFPgSwhRRcX+hGZlzLp164aAgACkpaWhc+fOPPBdtmwZUlNTeZ1fIh8jvdOvTMft4Nt8WVugjZXtVvIKDqT0/CKTMHrHA0nQ27SqGbaOdIWhDk0SJGVYpYEFu/c3SefwMizg7b1WMsLLr56UjhkzzmPz5pzcc1tbQ+zc2Q+dOlWjw0QIUUnFDny//fZb3rnNy8sL5ubmkvX9+/fHuHHjZL19pARYQ4oZV2dIgl6BmoC3H6agVzaik9IxYZcn/5dpYG+MHaPdaKSXlI30ZODSr8CTvdJlydgIr+tocUqDaRWpm3h6BmPYsKPw8RE3UWH696+NzZt7w9xcj44UIURlFTvwZa2Jb9++DS0tLan1VapUQVBQkCy3jZRAamYq78bmEeIhWbe6/Wq0c2hH+1MGElIz+ES2N+HiAMTJUh+7xjajoJeUTVkyltLweLd0Dq+aAGg6XjxpLdcILyMUZmHZstuYN+8aMjPFZyNYPd61a7thzJhGNJmVEKLyih34ZmVlQSgU5lsfGBjIUx5IxY705g56tdS1sLztcgp6ZSRDmIVv9jzipcsYK0NtbB3pBmNdSm8gMm4tfHUx4HUAEKblrFdTB2p2A3qsyBfwZktKysDGjQ8lQa+bmy3vwFajRs7ZOUIIUWXqxb0By+ldvXq1ZJm1Kk5MTMT8+fPRo0cPWW8fKaKE9ARMujhJEvTqa+pjS9ct6FC5A+1DGcgUZmH6/se49TaSL7Ngd/+E5nC00Kf9S2QjPhjYNxhYXQ94tDMn6GWNJxp8BUy6DXy1v9CglzEy0sbu3f2hqamOn35qjdu3x1DQSwghpRnxXbVqFdq3bw8XFxc+mY1VdXjz5g0sLCywf//+4t4dkVHQ++3Vb/Eo/JEk6N3QaQMaWjWk/Suj5h8/Hn2Ks89C+bKWhjq2jHSFkyUV+ycySmm4vxm4+7d0HV5tI6DJSMB9GmBoXeBN4+PTkJycgUqVcp6LrVtXga/vdDg4GNPhIYSQ0ga+tra2ePLkCQ4cOICHDx/y1IexY8di2LBh0NXVLe7dkVKKS4vjI73Pop7xZV0NXWztuhV1zOvQvpWRZedf49+Hgfx3LYE6Nn/tCjdHM9q/pHQiXgO31wLeB4AscfMTTlMPqNUd6PknoGta6M1v3w7A8OHHULWqCS5d+lqqdjQFvYQQIqPA98aNG2jRogVGjx7Nf3LX9mWXtWlD5bLKS1JGEqZenioJek21TbG5y2bUMqtVbtug7I49DsQ/13z572pqwOohDdG2JhX+J6UQ/AS4+Sfw8qT0elalwW0s0OYHQL/wnNyMDCEWLryBxYtv8m5s/v6xWLXqLmbNakGHhRBCZB34sjSHkJAQWFlZSa2Pi4vjlxU08Y2UzUS2iRcnwivCiy+b6ZhhS5ctqGFag3a3jFx7HY7//estWf61dx30qGdD+5eUTOBD4OYK4PUZ6fXaxuKAl5UmM6n8ybt4+zYaw4cfhYdHTgWdVq0qY+BAapFNCCFlEviyfEc2oS2vqKgo6OvTRJ/ykCXKwi+3f5EEvcbaxtjYeSMFvTL0JiyBN6gQicTLQ5tVxtfu0rVSCSmSCB9gR08gKVx6vaEN4D4FaDIK0Db87Pvujh1PMG3aWV65gREI1LBgQTvMmdMKAkGx5ykTQohKKnLgO2DAAP4vC3pHjRoFbW1tyWVslNfb25unQJCy94/XPzjvf57/rqehx0d6a5vVpl0vI5GJaRi701MS9LavZYlFfetSDVRSPDHvgevLxI0n8PHJlB3wtpoJNBoOaH2+mUR0dAomTjyNw4dfSNY5OZli376BaNq08AoPhBBCShH4GhsbS0YeWL3e3BPZWDOL5s2bY/z48UW9O1JCe17swQYvcVtoNahhaZulFPTKUGqGEF9vvY+A6GRJg4p/hjeRmjhEyCclRgDn5wLPjwFZ4tFZTt8SqNkV6LkS0MgZOPiUmJgUNGiwAYGB4trRzNixjbB6dTcYGEg3ESKEECLDwHf79u38X0dHR/zvf/+jtIYKcCXgCpY+WCpZnuU6i5pTyBD7Ujf/xHO8+NigwsJAizeo0NEUyPJhiLKK/QD8NxN4c0F6vY4J0HI60GwSoFW8dDBTU1306FEdmzY9gqmpDm85TPm8hBBSjjm+rFEFKX/vYt9hzs05kuUJ9SdgZJ2RdChkaOVFHxz0/CBZXjW4ITWoIJ8X4iVuLfzsKCASSldpaDgU6PQroFfy8ncrV3aFUCjCr7+2g729ER0RQggpz8CXOXz4MA4dOoSAgACkp6dLXfbokbiJApFtrV7WoIJVcmC6O3bH1IZTaRfL0L+eH7DuylvJ8pohDdG6BpUtI4VgCeDvrgEeGwCfc9KXsU5rrLVwl0WAiUOxzjiwdsMshWH48PqS9fr6WtiypQ8dCkIIkYFiTwVeu3Ytr9/Lypk9fvwYTZs2hbm5Od69e4fu3bvLYptILhlZGfjf9f/BP96fL9c0rYkFLRfQRCsZuvgiDHOOPpUs/9zTGX0b0qQhUgBhJvD0MLCxNbC7n3TQq2sGtJ0DzHgBfLmzWEFveHgS+vY9gG+++Y//+PpG0+4nhBB5GPFdv349Nm3ahK+++go7d+7EDz/8gGrVqmHevHmIjqY3a1lbdn8Z7oXck9TqXddhHe/ORmTjyYdYTN33CMIs8az7US0cMbZVVdq9RFpGCvB4jzilIfa99GUGlYA2/wMaDitSlYa8zp59g9GjTyAsLIkvJyam4/RpH3z7bXM6CoQQUtGBL0tvyC5bxio7JCQk8N9HjBjBKzv89ddfst5GlXXw1UEceH2A/66hroFV7VbB1sC2ojdLaYTFp2Libk+kZWbx5T4NbDGvlwuNppMcKTHAgy3A3b/Fv+dm2xhoMRVw7gMINIu911JSMjB79iWsW3dfss7SUg/btvVFr1416SgQQog8BL6VKlXizSqqVKnCf+7du4cGDRrAz8+P56gR2bj24RqW3F8iWZ7vPh+NrRvT7pVh2bIhm+4hLD6NL7tWMcWKQQ2obBn5+ASJA64sBh7uAITi54iEUweg1QzAsbW4j3UJeHuHYejQI3j+PEKyrkePGti2rQ+srQ3oKBBCiLwEvh06dMCpU6fQuHFjjB07FjNmzOCT3Tw9PSVNLkjp+MX5YfaN2RB+nCE+0mUk+lXvR7tVhhacegG/SPGpZTsTXWwY0QRaGtT9SuVlpALnZgNeB4DMVOndUe9LoMU0wCZn4llxZWWJsGbNPcyZcxnp6eLXt46OBlas6IzJk93obAMhhMhb4Mvye7OyxKeGJ02aBDMzM9y6dQu9e/fmy6T0FRymXp6K5ExxA4UuVbpgRpMZtFtl6OzTEOy/HyBZ3jLSFRYGRWsoQJRUWgJwfzNwbz2QlDMKyzn3Bjr8AljWKvXDxMWlYvnyO5Kgt359a+zbNwB16liV+r4JIYSUQeCrrq7Of7J9+eWX/IcJCgqCnR3Nhi9NBYdZ12chICFAUsFhYcuFEKhTAwVZCYxJxg9HvCXLY1pWhbMN1UZVWcnR4hxeFvDmzeF1aAb0Wg1Yu8js4VhDip07+6Fbt72YMaM5Fi/uAG3tElWVJIQQUgIyeccNDQ3F4sWLsWXLFqSkiGvNkuJb/mA5PEI8pCo46GkWf5Y4KVhKurgdcUJqJl9uUsUUv/Rypt2lqgEvG+FldXhTclWjUVMXT1Zr9R1g26jUD5OUlI7U1EyYm+e8jjt3dsLr11NRvXrJm1oQQggpmSInNcbGxmLYsGGwtLSEra0tr+fLUh5YGTNWzoxNctu2bVsJN4Mcen0I+1/tl1RwWN1+NVVwkCGWWzn7iDfefczrtTfVxfbRlFOpkm2Fz84BVtUBrv2eE/SqCYAGXwFTHohr8Mog6PX0DEbjxpvw9dfH8038paCXEELkfMR37ty5uHHjBkaOHIlz587xSW3s39TUVJw9exZt27Yt2y1VYg9CH2CJh3QFh0ZWpf/gJWIs6Pj5xDOc9AqW7JI1QxrBSKf4JaiIgorwAW4sA54dAUTiOQqSgLfuQKD9XMBMNvWbhcIsLFt2G/PmXUNmZhZ8fKLwzz+efPIaIYQQBQl8//vvP2zfvh2dOnXC5MmTUb16ddSsWROrV68u2y1UcqFJoZh1bRYyReLT71+7fE0VHGRsz4Ng7L//gf8uUFfD+mGNeZoDUQHR74DrywHvA9IBL2sr3PhrwH0qYFpFZg8XEBCHESOO4caNnCYXbm626Ny5mswegxBCSDkEvsHBwXBxEU/yYKkNOjo6GDduXCkemmSJsjDtyjTEpIkn1bjbuGNmk5m0Y2Tojm8kVl8Vt3tmVn7ZAF3rVKJ9rOxCvYG768UBb2565oDrGKD5ZEBPtjm2Bw48w6RJpxEXJ677q66uhh9/bIX589tCU5MmqBJCiEIFviyfV1Mz59SwQCCAvr5+WW2XStjotRGvol/x3y11LbG0zVKq4CBDAVHJmLL3MYQf0yuntHdC34ZUdUSpRfpA78JvUHtzOv9lrCRZ828ALdm+b8XHp2Hq1DPYvTunWkjlysbYs6c/WreW3WgyIYSQcgx8WZ7kqFGjoK0trnfKcntZ3d68we/Ro0dlsFmqkde73mu9ZPmX5r/AVIdOv8tKUlomxu/yRGxKBl9uX8sSMzuXvg4rkVPhr4Dj3/CRXq0scdqQROtZQPMpgL65zB82KioZbm6b4ecXK1k3dGg9/P13D5iY6Mj88QghhJRT4MsmteU2fPjwUj606opPj8ePN3+ULH/b+Fu0r9y+QrdJ2So4zDz0BK/DEviyo5kuVg9pyPN7iZL58AC4tQp4/R9fzD7CIj0LqLHRXbexgG7ZfaFkZcpatqzMA18jI22sX98Dw4aVvLMbIYQQOQl82cQ2Unps5PyXW78gLDmMLzet1BRj6o6hXStDa6+8wfnn4v1rqKOB1QNrUwUHZfP+DnB9KfDumtRqkY4x0uoMhnaXeYC2Yblsyl9/deeVHH7/vSMcHU3K5TEJIYSUDLUMKmf7Xu3DlQ9X+O/G2sZY3Gox1FnRfCIT556FYvWlN/x3NTVg7ZCGcDSndsRKI8QL+Hc0EO0rvd7QVpy/22QkUlNF0NYyKJMvrTt3evGR3QEDchqfGBvrYN++gTJ/PEIIIbJHgW85+hD/AaserpIsr2i7ApX0qcKArLwKjecpDtlmd6uNdrWsEBcXJ7PHIBUkNgA4Oxt4fUZ6vWlVoPVMoP4QQEOLRadAquyPd3R0CiZOPI3Dh1/w3F1WoszBwVjmj0MIIaRsUeBbTjKzMjH96nSkCcWljvo69UVzm+bl9fBKLy4lAxN3P0RyupAv92lgi4ltqHaqUtThvfMX4LlVer2RPdB0nLgOr6BsG5FcverHa/MGBYlzxmNjU3kAPGOGe5k+LiGEENmjwLec7Hi+A29j3/Lf7QzsMKfpnPJ6aKXHTkHPPuyN91HJfNnFxghLB9aHmppavlaxRIFSGljA++ywdOMJlsLQYAjQZRGgqVumm5CeLsTPP1/BihV3+EAyY2qqg82be2PgQHFNc0IIIYqFAt9y8CbmDdY/ySldNrfZXBiUQQ6iqtp5xx/nnofy3031NLFxRBPoalHDAIUU6Cmu0vAqTx1e9nppOh5oMV3mjScK8upVJIYOPYLHj8XPK6ZDh6rYubMf7O2NyvzxCSGEyFHgu3v3bmzYsAF+fn64e/cuqlSpwlsXV61aFX379pX9Vip4isNPt35CRpa4nuzouqPRxr5NRW+W0rjuE4GF/72ULC8ZUB8OZnoVuk2kBIIeAodGAnHi1tL5Gk+UcVmybOwMwcaNDzFz5nmkpIjrAWtqqmPJko48tYF1YyOEEKK4il1O4J9//sHMmTPRo0cPxMbGQigU51SamJjw4JdIO+xzGC+jxYFZdZPqmNJwCu0iGXkbnojJex5CmCU+D81yervVpcmCCiXEG9jSCdjcQTroNagEdJwPzA0G2vyvXILe7Elsv/xyVRL0Ojtb4P798Zg1qwUFvYQQooqB77p167B582b89NNPvG1xNldXVzx9+lTW26fQIpIjsPbRWsnyfPf50BZQaS1ZSEzLxKQ9D5H0cTJb1zrW+KFbbZncNykHET7A2sbAxtZA4IOc9ez10XEe8J23uFqDjNsLF6UhxZYtvfnvkye7wtNzAho2pC9ThBCisqkOLL2hUaNG+dazVsZJSUmy2i6lsPTBUiRkiGeC93Hqg4ZWDSt6k5QCG+GdsvcRH/FlalkbYvXgRtSZTRHE+APXlwFP9ua/rNOv5VKlIbeUlAw+iY3V4s3Wt29teHtPQr161uW2HYQQQuQ08GV5vE+ePOF5vbmdPXsWLi400znbjcAbOO9/nv9uqm2K712/l8XxIgD+vPCa5/YyBtoa2ECT2RQj4D05HfC7nv+ylt8CbWeX++iut3cYn8Dm7GyJQ4e+4FVAslHQSwghyqnYge/333+PKVOmIDU1lU8EuX//Pvbv348lS5Zgy5YtZbOVCiYxPRGL7y2WLH/v9j1MdKiVqSxceB6K9ddyunatGFQfVS3KN2AixRAfAtxcAXhuB0TitBROXQNoNRNoOb3cWgtny8oSYc2ae5gz5zIf7X3+PIJ3ZBs1is7IEEKIsit24Dt69GhkZmbihx9+QHJyMoYOHQo7OzusWbMGQ4YMKZutVDCrH61GcFIw/72ZTTP0qtarojdJaTqzTdj9ULI8p3ttdKtrU6HbRAqRlgjcWimuxfuxaQunqQ80Giau1KBT/mXBgoMTMGrUcVy8+E6yrkEDazRtalfu20IIIURBypmNHz+e/0RGRiIrKwtWVlay3zIFbkt88PVB/jubyLao5SKpU6ikZJLTMzF2h6dkuTd1ZpNPmenAo53A1cVASox0wOs+BWj+TbnU4S3IsWMvMX78KURFpUjWzZrljsWLO0Bbm0qaE0KIKij2u/2CBQswfPhwODk5wcLComy2SoEtuLdA8vsIlxGopE8zwkuLpdTMPfoUQbHigMVIRwNLB9ajLxTyJDkauPYH4H0ASI3LWa+uCbiNE5ck06+Y94ukpHTMmHEemzc/kqyztTXkzSg6daK21oQQokqKHfgeOXIEv/32G9zc3HgAPHjwYFhaWpbN1ilgh7YHoeLSTAaaBhhTd0xFb5JS2HrLD8efiFNHdDUFODq5BfS0aIROblIa7m8ELv+W/zI7V6D/RsCiOipKREQSWrXaDh+fKMm6/v1r87bDrHQZIYQQ1VLsOr7e3t78p0OHDli5ciXP72XNLPbt28dzfotr/fr1vFKEjo4OmjRpgps3bxbpdrdv34aGhgYaNpSfCSkrH65EliiL/87yeg21ynfSjjJ6ERyPpedeSZZXftkA1a1ov8pFwHtjObDKJX/Qa1ETGHsJGH+5QoNevikWeqhTR/zFXE9Pk9foPXLkSwp6CSFERRU78GXq1KmD33//He/evcPVq1d54Prdd9+hUqXindY/ePAgvx1rhvH48WO0bt0a3bt3R0BAwCdvFxcXh6+//hodO3aEvHgR9QK3gm7x3230bTDLdVZFb5LCS8sUYsbBJ8gQijuzjW9dFd3r0WS2CpWZBlz9HVhiB1xZlCutQQ2o9yUw6TYw9QHg4AZ5wPLr2ehunz618OTJRIwd25hSZAghRIWVKPDNTV9fH7q6utDS0kJGRkaxbstGjMeOHYtx48bB2dmZtzx2cHDgbZE/ZeLEibyahLu7O+TFH/f/kPzOUhx0NHIK4pOSWXr2NV6HiRuAuNgY4X9da9GurCgiEXBjBbDICri+VPqyBl8BU+4DAzcDleqiIh048AwXL/pLrWMpDSdODEGNGuYVtl2EEELkQ4kSJVn3NpbasHfvXvj4+KBNmzb49ddfMWjQoCLfR3p6Oh4+fIg5c+ZIre/SpQvu3LlT6O22b98OX19f7NmzB4sWLfrs46SlpfGfbPHx8ZIJU+xHFnxifPA4/DH/3ULXAv2q95PZfauqCy/CsO22H/9dU6CGP7+sDy2BerH3a/ZxpuNRCkGPgP9mQi3kifS+rdYO6PgrYPsx3agCn/Px8WmYNu0sdu/2hoWFLlq1qoZKlSglRtnR61u10PFWLaIy+kwpduDLRllZ04p69erxmr7ZdXyLi5VCEwqFsLaWbgvKlkNDQwu8zZs3b3igzPKAWX5vUbDGGqwSRUHpErIy+/psye+9KvdCamIq2H+kZMIS0jBtX84M/BntHWGjKyrRMWMvnMREcWtjKitXPGqJodC7/CM0/K5CDTlvQFmG9kjushyZDi3EK2T4WiqJe/eCMXHieQQEiL/URkamYOvWB5g6tUmFbhcpe/T6Vi10vFVLXBl9thQ78G3fvj3v0MbyfGUhbzDCntgFBSgsSGZBNgtia9asWeT7//HHHzFz5kypEV+WTmFsbMx/Sut55HP4xud0EvumyTfQ1dAt9f2qcr3eGTufIv1jXm8nZytM6lC7xEFr9jdGdqwp8C2iuEDg/mao3VkjvS+t6wCdF0LNqQPkoVdeRoYQCxfewO+/3+Ld2BgjI20sX94W48Y1o+OtAuj1rVroeJMKCXzZpDZZYDWABQJBvtHd8PDwfKPATEJCAjw9PfkkuKlTp/J1rHkGeyGw0d8LFy7wShN5aWtr85+8WBAki0Bo3t15kt+/bfwt9DSpRFJp/HH2NV6EiEfurI208cfA+lBXL10qevaxpsC3CLV476wF7q6X7rbGNBkFtR4rAIEm5MHbt9EYPvwoPDyCJOtataqMXbv6wdSUjrcqode3aqHjrTrUyqj5V5ECXzZiunDhQj6RLffoaWET1oqCTYZj5csuXryI/v37S9az5b59++a7vpGREZ4+fZqvFNqVK1dw+PBhXlmivLHRXla7l7HSs8JIl5Hlvg3K5PLLMOy+957/rq2hjr3jmsHCIP+XFiJjrDLDmR8Ab9ZxMFdOlboG0HAo0O5HwMhWLnY7+6K7Y8cTns+blCSeTCsQqGHBgnaYM6cV1NXVyuz0GCGEEMVXpMCXjbJmV2xgv8sKC6JHjBgBV1dXnju8adMmXsps0qRJkjSFoKAg7Nq1i4/61a0rPWOctUpm9X/zri8vm59ulvze3qE9NOVkNEwRvYtIxHcHciZP/dzLher1lrXUeODGMuDOuvyXtZgOtJgGGMhXO/KIiGTehS076HVyMsXevQPQrJk9X6ZJjIQQQkod+LJavQX9Xlqs61tUVBTvBBcSEsID2DNnzqBKlSr8crbuczV9Kwqr5HA54DL/XUNNA/9z/V9Fb5LCSs0QYuLuh0hIy+TLXetYY3izyhW9WcorMx3w2ABcXQxk5pmEWac/0HE+YFb+Z1CKwspKHxs29MJXXx3B2LGNsHp1NxgYaFX0ZhFCCFEQaqJiDpGMGTMGa9asgaGhdKmgpKQkTJs2Ddu2bYM8Y5Pb2ESn2NjYUk1um39nPo6+Ocp//8HtB4xwGSHDrVQtMw89wdFH4lzNmtYGODq5JQy0ZdOSmD292alvmtzGkuKFwP1NwK1VQGKY9I6ybQT02wBY1YY8SU8X8kls+vrSwe39+0Fo2jR/NRk63qqFjrdqoeOtWuLi4mBiYsL/ZemuslLsWUM7d+5ESkpKvvVsHUtJUAWJ6Yk463eW/26gaYCBNQZW9CYprJ13/CVBr5GOBtZ+1UhmQS/JFfA+3AmsdAbOzckV9KqJm09MfwxMuCZ3Qe+rV5Fwd9+KKVPO5LusoKCXEEII+RyN4oyUZhePZhUWWG5t7lJjLEWB5dyqgr+e/IWUTHHw37NaT6rkUEJXXoXh11PPJcvze9dB7Uqy+1an8rKygBfHgWt/AJGvpXeHRU1g0A6AlSiTM+w9ZuPGh5g58zxSUjLx6FEIevSogS+/lL9tJYQQoqSBLxtuzi4jUlAdXba+oEYRyiZDmIGL/hcly0NrD63Q7VFUb8MTMX3/E0mzr8ntnDCwiXiCEikltlO99gNXFgPxgdKXGViLA94qH5tPyJmIiCSMHXsSp075SNY5O1ugRg2zCt0uQgghKhb4skltbCSG1co9cuQIzMzMpEqTsQlptrbyUfKoLF18f/H/7Z0FeBRXF4a/uCeEJCQEdw/upLi7u7tbKYHSIoWGYkV+pLi7u7U4FAoEdwtuCcQ9+z/nLrvZTTYhvjLnfZ5tZ+6O3Ll3wn5z5gg+hn0UywWzFET+LPm13SW9DGbru+4/BH8LZmtc0g0/Niii7W4ZBg+PAJcWAy/Oqbfnrgp4/ggUrEtPqdBFjh59gl699uLDhxBl25AhFTB7dgNYW3PGFIZhGCYThW/NmjXF/58/f47cuXNLshiAyCF6d61yfWLliVrtj74yZf9d+PqFiuUirnaY0760yL/KpIFPD4GjE4Cn8kwjSlyKATV/Akq20dnhDQuLgpfXSSxceEXZ5uJijdWrW6JZs+RXaWQYhmGYdBG+t27dEqnGKJcuRdfFLyShioeHBwyVqx+u4r7/fbFc3Kk4KrhW0HaX9I4jt99h63+vxLK5iTH+16UsbDiYLfUEfwJO/CJ3bVDFxBxouxIo1kJnLbzEx48hqFt3Pe7ckb9FIcifd/XqFnB1tdVq3xiGYRiJCt8yZcqI0sIUvEbLZO3VlAWN2inQzVBZcH2BcrlH8R6StHqn1a/3xx03leu9q+dFIVf1tHhMMomOAK6uAY6OV283sQCaLwA8OgDGJjo/nM7O1siRw04IX0tLU8yZUx9DhlTkvy2GYRhGe8KX3BtcXFyUy1LkU+gn3Pl8RyxnsciC+nnqa7tLekVoZDSGbLqGkEj5g1HLMu7waqxb6bP0J3BtK3D6d+BrvOIu1UfJ3RrMbaAvkIvLmjUt0aPHXixY0AjFi8v/nWEYhmEYrQlfRSW1+MtSYt/TfYiRyUVbjRw1YE6vkplkM3b7TTz6EKz06/VuU4qteinl+Vlg9wAg6F3Camv1pgKOuv+3uXfvA2TJYolatfIq27Jnt8OJE1wAhmEYhsl4UlXA4tChQ8r1n376SaQ6q1atGnx9fWGIkFvHvif7lOtDygzRan/0jVXnn+PInfdi2cHKDEu7lYO1ORepSDbPTgMb2gDrmquL3mzFgQFn5OnJdFz0hoREYsCAA2jdehu6ddsNf/+ERXAYhmEYRueE7++//w4rKyuxfOnSJfzvf//DrFmz4OzsjNGjR8MQOfXqFF4EvhDLFd0qIpddLm13Sa/8eucciyueMK1lCeR34aClZPHyX2B9S/lHNVsDCd7OW4HBFwH3MtB1rl59i3LllmPFiuti/c2bIKxde0Pb3WIYhmEkSIrNbq9evULBggXF8t69e9GuXTsMGDAA1atXR61atWCowldBu0LttNoXfSIkIlrk6w2LkruINC2VHS3LcKnZ7/rwvjgPrGuW8LssuYFaEwCPTuQcC10nJiYWs2ZdwK+/nkZ0dKxoo3y8Cxc2Qp8+ZbXdPYZhGEaCpFj42traws/PT+TyPX78uNLKSyWMw8IM7/VldGw0Tr86rVyvlcswxX1GMP3QPWW+3hxZrPBHO8NNdZcugpd8eE9OAd7KLaNK7NyB2hOB0p0AE/0o5PDyZQC6d9+Ds2fj3J8qVHDHpk1tULiwk1b7xjAMw0iXFAvf+vXro1+/fihbtiwePXqEpk2biva7d+8ib964gBVD4eanm/ga8VUsUyYHazNrbXdJL9jr8wZbrsjz9RLr+lSCLefrTUTwngF2DwSC5X7QSuxzAOV7AzVG6Y3gJbZuvYNBgw4iICBCrFPWv4kTPTF5ck2Ymel+ijWGYRjGcEmx8F28eDEmTZokXB6odLGTk9x6c+3aNXTu3BmGWKJYAVt7k8eXkEhM3n9XKXr+aOuBgtnYrzcBLy8DewYCX+KlCHTMC9SeBBRvCZjqV/aQ9++D0a/ffoSERIn13LkdsHFja3h66nbwHcMwDCMNUix8KYMDBbTFZ+rUqTA0YmJjcPT5UbFsamzKwjeZTNp7BwFhcuHTpGR2dKjAwYBqFt7Hx4Hd/YHwAPWBs3UD6k3WGx9eTbi52Yp8vP36HUDnziWxZElTkb6MYRiGYXSBVOWU+vr1K1atWoX79++LXKzFihVD37594eDgAEPi2odr8Av3E8ueOTxhb26v7S7pPAdvvcWh2/KUW47WZvilWXFtd0l3eH4OODIe+Ci3hqv58NbyAsp204tqa6pERcUgJkYmqq4poMC1/PkdUbt2Pq32jWEYhmHik2Kz0tWrV1GgQAH8+eef8Pf3x+fPn8UytV2/Hi8oR885/PywcrlR3kZa7Ys+8OZrGLx23Vau/9q8ONwc2NoH/2fywhOUqUFN9BrJC0+Mug2U76l3ovfJE394eq7B2LHH1NrpYZhFL8MwDGMQFl/K4tCiRQusWLECpqby3aOjo0XA26hRo3D27FkYipuDIo2ZhYkFaueure0u6TSxsTL8uP0mgiOilSWJW0k9dVmoP3B2DnB1NRCtkvHEwgFoNk9ecU3PxK6ioAvl4R0+/Ijw5b18+Q0aNy6EZs0Ka7trDMMwDJO+wpcsvqqiVxzE1FRUcKtQoQIMhQf+D+Af7i+Wq7lXg5WpvGgHo5nVF57j0jO5W4ibvSWmtSwp3ZLE0RHAlRXA2dlAuDwjiMDKEfhhHFBpgF5laVCFKq4NHHgQO3feU7YVKOCIbNlstNovhmEYhskQ4Wtvb4+XL1+iaNGiau2U5cHOzg6GwsmXJ5XLNXLU0GpfdB2fl1/wx9EHyvU/O5YRpYklGbh2by9w4lfg68u4dlNLoPIgwHMsYKm/fuKnTj0XuXmp8pqCvn3LYv78RrC11a/sEwzDMIw0SbHw7dixowhkmzNnDqpVqyaseufPn8e4ceMMJp0ZvcpVpDEzghHq5K6j7S7pLJS9YfgWH0TFyMT6gB/yo2oBCRYoeHcTWN8KCJO/JZBjJC86UecXwEF/3T4iI2MwadI/mDPnotD2hKOjJVasaI62bTl4kWEYhjFg4UuCl8Rujx49hG8vYWZmhsGDB2PmzJkwBJ58fQLfQHnFqfKu5eFs5aztLunsA8LPe27j9Re5/2r5PI74qWERSIovL4Bd/YDX/6m35/UEGs4AspeGPvPxYwgaNdoIH5+44hp16+bDunWtkCOH/lqvGYZhGGmSYuFrbm6OBQsWwNvbG0+fPhXip2DBgrC2NpyKZmden1Eus7U3cXZdf4ODt+Spy+wtTbGgUxmYmuhn/tlUBa7tGybPyRsrz1kssLAHWiySF58wAB9nJycr2NlZiGUzM2N4e9fF6NFVYWys/9fGMAzDSI9kq5TQ0FAMHToUOXLkQLZs2UQWh+zZs8PDw8OgRC9x+d1l5TLl72US8ikoAlO/VWcjvNt4IKejYd0HGokKl2dqWFQOeHgoTvSa2ciD1n58BJRoZRCilzAxMcaGDa1RrVouXLnSH2PHVmPRyzAMwxi+xXfy5MlYu3YtunbtCktLS2zZskW4N+zYsQOGRFRMFK5/kOcjzm6THXnsudRqfMjKP3HPbQR9S13Wqow7mnpkh0ETEw38txI4Ol693cQcKN8LqOkF2Oi/b/ORI4/h6GiFKlVyKtuo7PD5872lm6WDYRiGkZ7w3b17t6jW1qlTJ7HerVs3VK9eHTExMTAx0b9cpIlxz/8eImMjxXI513L8Y6+Brf+9wol7H8Syk425YVdno2iuZ6eALV3Uc/EShRoATecBWfS/JHNYWBTGjz+JRYuuIF++LLhxYxDs7eUuDgSLXoZhGEZSrg6UrszTM+61f6VKlUT+3rdv38KQuPLuinKZAtsYdZ5/DsHUA3EuDjNal4KTbZxAMiheXwM2tAI2tFYXvTkqAN33Al13GITovXnzPSpWXCFEL/H8OZUkN6wqjAzDMAyTIosvWXYpsE0VEr6KzA6GwuX3cf69VdyqaLUvuujiMH7XLYRHxYr1rpVzo1FJNxhkieEdvYF3N9Tbc1UG6k0B8lSDoVTbW7DgX3h5/S1SlhGWlqaYO7cBBg82nGI0DMMwDJNi4Uuip1evXrCwiLPuhYeHY9CgQbCxsVFzidBXwqPDceOjXOy427gjl73+W/PSk3UXX+DKc3me2hxZrPBz02IwKCJDgVMzgCvLgRi5u4vA0gFo6A2U6WIwQWtv3wahV6+9OHHimbKtdGlXbN7cFsWLu2i1bwzDMAyjdeHbs2fPBG3k52tI3Ph0AxExEWK5cvbK2u6OTvHkYxC8j8RVZ/NuUwrW5inOhqebxEQBV1cDFxYAgW/i2m1dgeqjgEr99bbEsCb27LmP/v0PwM8vzn1j7NiqmDGjDiwsDGROGYZhGEYDyf6VW7NmDQwdVf/eStkrabUvukR0TCzGbL+JiGi5i0OPqnnwQ2EDsQo+OQkcnQB8fpSwxPAPPwIWhlOGW2Hp7dx5FyIi5K4N7u52ohhFvXr5td01hmEYhslwJFJtIPkWXwWV3Fj4Klhy+iluvQ4QywVcbDCxiQG4OPg9BTZ3Aja2VRe9hRoCg84D9acanOhVCN3Zs+uL5dati+LWrUEsehmGYRjJwO81VfjvvbzsrIuVC7JZZ9PWnOgU119+wYK/H4tlE2MjzG5fGpZmepy+LuwrcG4u8O9S9YprFLjWaCaQoxwMiZiYWBHEZqYyZ8OGVUL+/I5o0qQQpyljGIZhJAUL32+8CnqlHJQCWQpoaz50iojoGHjtuoWYWJlYH1m3EMrldoReQsFq19cDh39Ub7dzB+pPA0q1M5jANQUvXwage/c9qFw5B2bNklt5FTl5mzYtrNW+MQzDMIw2YOH7jX9e/qMcFHdbd61Mhq4x7cA9PPoQLJZLuNtjcC39fCAwfXURODNZ3aWB8PwRqDEasLCFobF16x0MGnQQAQEROHvWFw0bFkDduuzHyzAMw0gbFr7f+BAqr0RG/JDzB0ida77+2HT5pVg2JReHdqVhZqJnLuGfHgFnZ8P29nb19hJtgJrjgWxFYWgEBkZg2LDD2LDhllrJYcrPyzAMwzBSJ1VKZsOGDaJcsbu7O3x9fUXb/PnzsW/fPugrdz/HVSMr7VIaUiY0Mho/7YwTTgN+yI/i7vbQG0L8gINjgMUVYaQqenNWBPr/A7RfY5Ci98KFlyhdepma6O3SpRRu3hyE6tVza7VvDMMwDKOXwnfp0qUYM2YMmjRpgq9fv4qKbkSWLFmE+NVHYmJjcM/vnljOYZsDzlbOkDJT99/D008hyvXR9fXEHzQqTB64tqA0cHWVsllmbgtZ03lA3xNADsMrQx0VFYNffz2FH35Yixcvvoo2e3sLbNzYGps2tUGWLJba7iLDMAzD6AQpfv+5aNEirFixAq1atcLMmTOV7RUqVMCPP8YLHNITngc8R3hMuFgu7lQcUubQrXfYdlUe6GdtboKDw2vovouDTAbc3Q0c/xUIfB3Xbm4HWfWRCCjaCQ7Zchpc8Brx8WMIWrTYgsuX4wpv1KiRGxs2tEbevFm02jeGYRiG0Xvh+/z5c5QtWzZBO5UyDgmJsxLqE3f87iiXpSx8w6NiMGKrj3J9WsuSyO+i44Ffge+APQOB52fi2oyMgTJdgdo/A3ZuQIA8B7Eh4uhoKXQ/YWJihKlTa8HLqwZMdP1hhWEYhmH0Qfjmy5cPN27cQJ48edTajxw5guLF9VM0KtwciFLOpSDlQhWK1GWehZzRrnxO6CzRkcC/S4Azs4AolQcup4JAx01xPrwKVWigUH5ecmdo334H/vqrGSpVyqHtLjEMwzCM4QjfcePGYejQoQgPD4dMJsOVK1ewZcsWeHt7Y+XKldBHHvo/VC4XcSwCKXL5mR+WnHqiXB9VT4f9ep+dAQ6NAfzi+gsrR4D8eEu2gSFz6tRzODpaoUwZN2VbwYJZcf36AC5GwTAMwzDpLXx79+6N6Oho/PTTTwgNDUWXLl2QI0cOLFiwAJ06dYK+QeL98Rd5ZTI3GzdksZSeX6RfcARGbr2B6G/W3uF1CqJ8Hh0sVBH0Hvh7GnBjk7pbQ9luQN0pgI0TDJXIyBhMmvQP5sy5iCJFnHHt2gBYW5upFaVgGIZhGCZpUpXcs3///uLz+fNnxMbGIls2/S3v+y7kHYKigsRywSwFITVI+PdbfxXvA+XBfZXyZcWIuoWgc24NZ2bKMzaokrMS0HQOkN2w0889ePAZXbrsgo/Pe+X6ihXXMHJkFW13jWEYhmH0ijRltXd21v+0Xy8CXiiXCznqmODLBLZceQWfl/IUWI7WZljcpZxuZXG4tw/YPQCIlgtzJeTWUL43YKxDfc2Ah5K//rqGMWOOISwsWrSZmRnD27suhg+vrO3uMQzDMIw0gtuSeq367Nkz6BPPA58rl/PYqQfsGToBoVGYuOe2cn1KixJwsbOAThD4FtjVH/A9r95eojXQYDrgoMOBd+mUpqxfv/04cCCuzHKxYs7YvLmtmn8vwzAMwzAZKHxHjRqlth4VFQUfHx8cPXpUBL7pYw5fBQWyFICUmHXsgXK5TtFsaFlGBzICRIYC/y4Gzs0DokLVv+t5EMjnCUPnyJHH6N17Hz58iMtWMWRIBcye3UDNr5dhGIZhmAwWviNHjtTYvnjxYly9ehX6xuvguIIHuexyQSpceuqHzVdeKtcnNNaBEr5PTgKbOwKx8tf6ArvsQN1fgdKdDbIARXxevw5Ey5ZbERUVK9ZdXKyxenVLNGumw1k2GIZhGEZPSDcHycaNG2PXrl3QNz6EfBD/NzU2RVbLrJBKoYoJu28pU9wOrlUAhVzttNehL77AynrAxrbqopfE7pB/gTJdJCF6iZw57TFtWm2x3LhxQdy+PZhFL8MwDMPoQnCbKjt37kTWrPolHGNlsXgdJLf45rTNKZmUUEtPP8ULP7kbQYU8jhjXQEu5i2NjgCsrgKPj1dtzVwOazALcDL+YSGysTASxqVZaGzeuGgoUcES7dsUlc08yDMMwjE4KXypXrPpjTD/a79+/x6dPn7BkyRLoE1/CvyA8Rp4tIKedYQdLKXj2KVgIX8LU2AgzWpeCsbEWxNWb68DBUcC7m3FtZtZA1aFArYkGna1Bwdu3QejVay+qVcuFKVNqKdtJBLdvX0KrfWMYhmEYQyTFwrdVq1Zq68bGxnBxcUGtWrVQtKgO+ImmgLfBb5XLVLzC0KGHlF/33UVkjNx/tJ9nfhRxy2QXB/9n8iIU9/YDspi49ryeQLs1gK0LpMCePffRv/8B+PmF4e+/n6NBgwJCADMMwzAMoyPClyq25c2bFw0bNoSbm/4LRd8gX0mlMtt/8y3OP/kslnNkscKIuplYsCM2Fjg7Czjtrd7uUhRoOhfIWwNSICQkEqNHH8OKFdeVba6uNoiKUnkIYBiGYRhG+8LX1NQUgwcPxv3792EIvA+RV8Ii3G3dYcgEhEVh+qG4eZvaogSszdPNxTtpPj8GNrUDvsQVCxFUGQrUmwyY6kju4Azm6tW36Np1Nx498lO2tW5dFCtWNIeTk7VW+8YwDMMwUiDFyqdy5coib2+ePPpvIVV1dchukx2GzNzjD/EpKEIs1y/uinrFXTP+pOEBwKGxwO0d6u15agAdNwDW+hUMmVpiYmIxa9YF/PrraURHy91MKB/vwoWN0KePus88wzAMwzA6JHyHDBmCsWPH4vXr1yhfvjxsbGzUvvfw8IC+8CFUnsqMyG5ruML31uuv2Piv3K3DysxEVGjLUChP2q1twInJQHCcVV3QbRdQsB6kAlVga99+B86ejXOrqVjRHZs2tUGhQk5a7RvDMAzDSI1kC98+ffpg/vz56Nixo1gfMWKE8juyWFHgFP0/JkZ/fBU/h8n9XY2NjOFo4QhDJDomFl67biP2W87eEXULCf/eDOPFBWBHTyDkU1ybiQVQtpvcrcHSAVLC3t4CX7/KM4eQYXfiRE9MnlwTZmYm2u4awzAMw0iOZAvfdevWYebMmXj+PK7Er77zKVQuzpwsnWBibJhCZNX557j3LlAsF3WzQz/PfBlzopgo4OJCecYGVYo0BRp5A4767xqTGiwtTbF5cxu0bbtd+PJ6ekpzHBiGYRhGr4QvWXQJQ/DtJaJiopQWX0NNZfbKPxR/nnyktDbObOsBM5VCCemG7yW5L+/Hu+o5eVsvA4q3hJS4cOElHB2tULx4XFq2EiWy4e7dIWpFKhiGYRiG0XEfX0MKwvEL84MMcjGfzTobDA16UGm5+ALCo+TBVD2r5kWZXFnS9yTBH4GdfYAX59Tba4wBanlJJlsDQenIfvvtLGbMOIdSpbLh8uV+sLCI+/Ni0cswDMMweiZ8Cxcu/F3x6+/vD33ALyIupZSLleEVTTh29z38QyLFsrOtBcY0KJy+J3hwGNjeA4iNimvLkhvosB5wLwsp8fSpv0hTdvnyG7F+8+YHLF9+DcOHV9Z21xiGYRiGSa3wnTp1KhwcDCM46Wv4V+VyVkvDSqsVEBqFSXvj3A5G1i0Ie0uz9Dl4qD+wtDoQFJcKDqZWQJXBQJ1JgIH6SidmVV+37iaGDz+C4GD5Q4aJiRGmTq2FIUMqart7DMMwDMOkRfh26tQJ2bIZhlvA53C5fy/hZGVYaaXmHH+Iz8HynL3VCjihW5V08st+fALY3R8I+xLXlr0M0HkLYG/YBUDi4+8fhoEDD2LnznvKtgIFHLF5c1tUqpRDq31jGIZhGCaNwteQ/HsJ/7A4lwxnK2cYCrdfB2DjZXnOWGtzE8xpXzrtcxcZAvwzHfh3SVwbpSWrMRqoPkoeOSch/vnnOXr02IM3b4KUbX37lsX8+Y1ga2uu1b4xDMMwDJOOWR0MBb9wP4Oz+MbEyjBp721RP4IYWbcQ3NOSs5cO9OAgcHySerlhKkDRfAHgkBNS4+XLADRsuFFZgc3R0VKkKWvbtri2u8YwDMMwzHdIdn6l2NhYg3FzIPzDDc/iu+XKS9x8HSCWC2WzRZ8aacjZG/gO2NUX2NYtTvQamQBN5gBdd0pS9BK5cztgwoQaYrlOnXy4dWswi16GYRiGMdSSxYaUzsyQgtvIp3fW0QfK9emtSqY+Z+/dPcCOXupteT2BpvMAl3TODqHj0JsOMnwbG8e5c/zyyw/Cn7d799Jq7QzDMAzD6DaSzagfFCX3z7QytRIffcf78AMEhkeL5TblcqBy/lS4bwR9APYOTSh6260Geh6QnOj9+DEELVtuxdy5F9Xaqdxwz55lWPQyDMMwjJ4hWYtvQHiAkP0OFvqfnu3yMz/suv5aLNtbmmJC42IpP8jtncDhH9UzNhRtJndtsM8OqXHkyGP07r0PHz6E4OjRJ6hbNz/KlZPeODAMwzCMISFZ4RsYGQhYAo4WjtBnomJi8cu+O8r1cY2KwsUuBRXTAt8CJyYDt7fHtZlYAC3/B5RqL7mMDWFhURg//iQWLbqibMuSxRJfvoRptV8MwzAMw6QdyQrfaFk0TGACR0v9Fr5rL7zAow/BYtkjpwO6VMqd/J0fHgW2dFRvK1AXaLUUsHOF1Lh5872owHb37idlW+PGBbFmTUu4utpqtW8MwzAMw6QdyQpfBfosfN8HhGPG4ftimQyzFNBmkpxgq8hQuVvDjU3q7Y1nA5X6S87KGxsrw4IF/8LL629ERsaINktLU8yeXR9Dh1Y0uBzWDMMwDCNVJC98bUxtoK9MPxRXNaxjhVzwyJnl+zv5XgL2DQH8n8W1Fawvd22wc4PU+PQpBF267MbJk3Hj4eHhis2b26BECcNJ38cwDMMwDAtfvc3ocOrBRxy89U65Pq5hkaR3iIkCzs4GzvwR10bX3nQuUKaL5Ky8CqytzURRCgVjx1bFjBl1YGEh+WdChmEYhjE4JP/rbmuuf76bwRHR+HnPbeX67HYecLJNIqDt2Rlg/zDg68u4thwV5L68EktRFh8bG3Nh3W3XboeowFavXn5td4lhGIZhmAxC8sLXztwO+kbXFf/ibUC4WK6SPyvalU+kihpVXvh3CXBsonp7nUlAjTGAsQmkxtWrb0WZ4QIF4oqWlC/vjkePhon8vAzDMAzDGC5aL2CxZMkS5MuXD5aWlihfvjzOnTuX6La7d+9G/fr14eLiAnt7e1StWhXHjh1L0/ltzfTL4vvSL1RZltjc1Bh/tPXQHHwV6g9s7aIueh3zAT0PAj+Mk5zojYmJhbf3OVStukpkboiKkgexKWDRyzAMwzCGj1aF77Zt2zBq1Cj8/PPP8PHxgaenJxo3boyXL1Veyatw9uxZIXwPHz6Ma9euoXbt2mjevLnYN7XYmNnobUBb01LZkcdJQ//fXAP+qgk8PBzXVnUYMPQKkM8TUuPVq0DUrbseEyf+g+joWFy+/AYrV17XdrcYhmEYhpGSq8O8efPQt29f9OvXT6zPnz9fWHCXLl0Kb2/vBNvT96r8/vvv2LdvHw4cOICyZcumqg/WZtbQFy4+/Yzj9z4o16e0KJHQteG/lcDRCUBslLzNyhFotQwo0ghSZOvWOxg06CACAyPFOhnHJ070RL9+5bTdNYZhGIZhpCJ8IyMjhdXWy8tLrb1Bgwa4ePFiso4RGxuLoKAgZM0a568Zn4iICPFREBgYmMDVQUaCUQ9yzc44JM/ZS8xp5yHKEyv7HhUKHBwNo1vblNvIKICt/VrAIadcFEuIwMAIDB9+BBs23FK25c7tgA0bWsHTM49Y14d5Z1IGzaniwxg+PN/SgudbWsgy6N9xrQnfz58/IyYmBq6u6hXCaP39+/fJOsbcuXMREhKCDh06JLoNWY6nTp2a6PeycBkCAuLSWekqB+98xN23ctFeJJsN6hSwVfbb2P8pbHd2gHHoZ+X24eX6I7z6ePJeBfTg+tKTy5ffYuDAY/D1jXvIadeuCObMqQ0HBwu9mG8m9f9QBgfLKxly4RHDh+dbWvB8S4uADPqt1npWh/g/TnRjJ+cHa8uWLZgyZYpwdciWLfFCAxMmTMCYMWPULL65cuVSrrtldYODtQN0mcDwKEw6+Fi5/kvzEnDMkkVuxSUL76ExMCKL7zdk7dbAokRrJJHgzGB58eIrmjXbJXx5CXt7C8yeXRP9+lVmISQhC4GDgwPPtwTg+ZYWPN+MXgtfZ2dnmJiYJLDufvz4MYEVWFNQHPkG79ixA/Xq1UtyWwsLC/FJKrhN1y1D6y76KpcblnBFjUIuQEQQsKkD8FLFLcS5CNB2JYyye0Cq5MvniOHDK+HPP/9F9eq5sGFDazg6Gok51vV5ZtIHxVzzfEsDnm9pwfMtHYwy6Ddba1kdzM3NRfqyEydOqLXTerVq1ZK09Pbq1QubN29G06ZN09wPC1Pdtos++RiEeSceKddH1y8MfHoIrKirLnrLdAUGnAIkJno1+XP+/ntdLF7cBKdP90LevMko48wwDMMwjCTQqqsDuSB0794dFSpUEDl5ly9fLlKZDRo0SOmm8ObNG6xfv14penv06IEFCxagSpUqSmuxlZWVeLWZUkyNTWFmbAZdRjWgrUeV3CjquwX4exoQKfdjhIU90GA6UL6n9jqpJfz9wzBw4EHUqpUHQ4dWUrZbWppiyJCKYpmDnBiGYRiG0Qnh27FjR/j5+WHatGl49+4dSpYsKXL05skjj7qnNtWcvn/99Reio6MxdOhQ8VHQs2dPrF27NsXntzKxgi5z+ZkfTj38JJbNEI1fQ72BI4fUC1J02wU4FYDUOHXqObp334M3b4Jw8OAj1KqVFyVKJO7rzTAMwzAMo/XgtiFDhoiPJuKL2dOnT6frua3MdFf4kqVy6GZ5YY6sCMQp59kwffQ0boOizYA2ywFz/SrAkVYiI2MwadI/mDPnojJDm5WVqRDALHwZhmEYhtFp4atNdLlq25Yrr/A5OAKVjO5jseVSOATHpSpD21VAqXaQGvfvfxLlhn184gIi69TJh3XrWiFnTnut9o1hGIZhGN1H0sLX0sQSukhAaBRmHrmPQSb74WW2FVDEbtm6Au3WAHmrQ0qQ9XvZsqsYO/Y4wsKiRZuZmTG8veti9OiqMDbmbA0MwzAMw3wfSQtfCxPdzOgw59g9DI1eh4Fm8fx5ex8G7N0hJfz8QtGr1z7hx6ugWDFnbNrUBmXLZtdq3xiGYRiG0S9Y+OoYT959QbnrP6O16bm4xqrDgHpTABPdzkCREZiaGuP27Q/K9SFDKmD27AawtpbeWDAMwzAMo6d5fHUBM10TkuGBCF3fEa1N5KJXBiO54G04Q5Kil3BwsMTGjW2QPbstDhzojMWLm7LoZRiGYRgmVUja4mtubA6dwe8pgte2h0eYPHNDBMyANith4dEKUuLmzffImtUKuXLF5WWuUSM3nj0bKfLzMgzDMAzDpBZJKwmd8fF9fAKynX1gGxEoVgNk1rhe9X+oLSHRGxsrw4IF/8LL629UrZoTf//dAyYmcS8kWPQyDCNlKMiX8tjHxMRAymMQGRmJ8PBwLkluIJiZmcHExCRTzylp4WtuomWLLyWiPf+nqMRm9C11w6PYHBhjPB77GrSBVHj7Ngi9eu3FiRPPxPqZM75YvdoH/fuX13bXGIZhtA6JPSroFBoaCqkTGxsrCl8xhoGRkRFy5swJW1vbTDunpIWvVi2+UWHAuubA6/+UTcdiKmBM1GAs7VMTJhJJ0bVnz330738Afn5hyraxY6uiR4/SWu0XwzCMrgi958+fC6uYu7s7zM3NJWvtJIsvWbxpLKQ6BoY2n58+fcLr169RqFChTLP8Slv4mmpJ+IYHAFu6qIneRdGtMC+6Harkd4FnIWcYOiEhkRg9+hhWrLiubHN3txPFKOrVy6/VvjEMw+iStZfEb65cuWBtbQ0pw8LX8HBxccGLFy8QFRXFwtdgg9uCPgAb2wAf7ohVmZkNRkcPxd7oMmJ9YpNiBv8ke/XqW1GB7dGjuNdVbdoUw/LlzeDkJO1/2BmGYTRhbCzpJEyMgWKkBb0jaYtvpqcz++ILrG8JfHkuX7fKio0F52Lvf3LLc6sy7iiVMy6bgSHy7NkXVK26CtHRsWLdxsYMCxc2Ru/eZQxe8DMMwzAMo10k/QiZqRbfjw+A1Y3iRG+W3AjqchAzb8otnOYmxhjboAgMnfz5HdG3b1mxXLGiO3x8BqJPn7IsehmGYRiGyXCkLXwzK6vDh3vA2qZA0Fv5unNhoPdRLL5jgpBIeWqa9hVyIldWabzmnzu3AebMqY8LF/qgUCEnbXeHYRiGMWAf6YIFC+LChQva7oqkuH37tsjWEBISAl1D0sLX1DgTPD3eXAfWNQNCP8vXs5cGeh/B/VA7LDsjL1ZhZmKEYXUKwtAIDIxAjx57sGaNj1q7jY05xo6tBjOzzM3dxzAMw2QOvXr1Em/yBg0alOC7IUOGiO9om5Qci/ycLS0tkSdPHgwePBhfvnz57r7Lly8X21evXj3BdwMGDBABVVu3btV4zlatEubSv3HjhugLBWSpBt3ReSpXrizScmXJkgUVKlTA/PnzMzQFHV1/9+7d4eDgID60/PXr1yT3MTIy0viZPXu2cpuIiAgMHz4czs7OsLGxQYsWLUTmBVXy5s2b4BheXl7K70uVKoVKlSrhzz//hK4haeFrZpzBPr6+l4D1rYDQb0Fc7mWBngcAG2fMP/lIuVnv6vmQ3cEKhsTFi69QpswybNhwCyNGHMWTJ/7a7hLDMAyTiVAmChKVYWFx6Sqp+MSWLVuQO3fuFB2rUaNGePv2LZ48eYIVK1bgwIEDQkB/j0WLFqFfv34J2kmQbtu2DePGjcOqVauQFkhwjho1Ci1btsSpU6eEOP7ll1+wb98+HD9+HBlFly5dxLmOHj0qPrRMfUmKd+/eqX1Wr14tRGvbtm2V29C17NmzR8zd+fPnERwcjGbNmiUonjJt2jS1Y02aNEnt+969e2Pp0qU6V3RF2sFtGSl8Pz0C1rcAYiLl63mqA523AJYOuPLcH8fuflBuOqJuIRgKFLT2229nMH36OVGNjTA2NhLCt2DBrNruHsMwDJNJlCtXDs+ePcPu3bvRtWtX0UbLJIjz509Z2koLCwu4ubkJEUUW3I4dO2Lt2rVJ7nP9+nUhlJs2bZrgux07dqB48eKYMGECsmfPLiy4ZMVMKdu3b8emTZuwd+9eIXwV0LHIUhoYKK/Imt7cv39fiN1///1XWJoJeiCoWrUqHj58iCJFNMcMubm5qa2TOK9du7ZyPgICAsSDwIYNG1CvXj3RtnHjRjFnJ0+eRMOGDZX72tnZJTieKrQtFRs5c+YM6tSpA11B0sI3w1wdKHsDpSxTiN6C9YGOGwAzKyEGZxy6p9x0ZptSsLUwjGl4+tRfpCm7fPmNsq1GjdzYsKE18ubNotW+MQzDGArNF53Hp6CITD+vi50FDgyvkaJ9yOq3Zs0apfAlC2OfPn1w+vTpVPeDxDSJPip3mxRnz55F4cKFYW9vn+A7EnfdunUTLgJNmjQRfZw6dWqK+0Kil0SmquhVQJZUOn5ifK9amaenJ44cOaLxu0uXLoljK0QvUaVKFdF28eLFRIWvKh8+fMChQ4ewbt06Zdu1a9dETt0GDRoo26hwSsmSJcVxVYXvH3/8gd9++02I4vbt2wvrORVYUUDLpUuXxrlz51j46gpBkUHpf9DAt3Kf3oBX8nXXUkDblUL0EsfvvcfN1wFiuYirHdpXyAV9h/yb1q27ieHDjyA4WC72TUyMMHVqLXh51YCJiaQ9ahiGYdIVEr3vA8P1YlTp1TtZVcmiSkKQgszoFXpKhe/BgweFhZEsvuQuQcybNy/JfeicJNri8/jxY2EpJeszQQJ4xIgRmDx5corzJdOxkiMyNUGuCUlhZZW4C+T79++RLVu2BO3URt8lh3Xr1okxbdOmjdpxSbA6Ojqqbevq6qp23JEjRwqLPm135coVMcdUYXDlypVq++XIkUPNH1oXMAxTYypxtXZN3wMGfwJW1gMC38Rlb+i2C7CSWzvDo2Lw++EHys1/alRE70sTf/kShgEDDmLnzjgrdoECjti8uS0qVcqh1b4xDMMYImR51ZfzUoAUuRqQyCIjCS1TW0qh1/FLlixBUFCQsM6S4KQArKQg32IKhtNk7SXLpaIfZPHt27eveJWvaulMDnRNqc1BT9km0oKm86akP6tXrxaWeE1j9L3jjh49Wrns4eEhBHC7du2EFdjJyUlNvGdkgF9qkLTwTdcCFhHB8pRlCtGbJQ/QYz9gFyeu5598jJf+8hugcr6sqFM04dOavkGuGxTIpoBy9M6f3wi2tlqoiscwDCMBUupuoG3ItWHYsGFiefHixak6BmUXIKFIFt+FCxeKV+fkmkCv2hODhC2l1VKF9l+/fr2wXpqamqq1kyBWCF9yj/D19U1wTEXWBIULA7lSkL9takiLqwP51pKrQnw+ffokrLPf49y5c8IXmAL84h+XUsBRxghVq+/Hjx9RrVq1RI9HbhYE+VSrCl9/f38UKFAAuoSk30GbGqWT7o+NBfYMBD4/lK9b2AM99wP22ZWbfAgMx+oL8uIV9NA0uXkJgyjaQCWG161rBScnK+zc2R4rV7Zg0cswDMOoZWQgMUUfVR/RtEBuCXPmzBGZHhKjbNmyePDggbBWKjh8+LCwGvv4+AhXA8WHgt0oQI2CsYiiRYvizp07SrcKBf/99x9cXFyUopAyKzx69EgEicWHzkvBYomhen5Nn/huA6pQEBsdm9wMFFy+fFm0JSVQFZDIL1++vPDBVYXayHf6xIkTyjbK2EBjkdRxaTwJChRUhfajedAlpC180yu47eAo4MFB+bKFA9D7MOCoHh069/hDRH4r09uhfC4Ud0/obK8P3L//CR8+BKu11auXH8+fj0TbtsW11i+GYRhGN6FcuWQVpQ8tpwe1atVCiRIl8PvvvyfpHkEFFO7evasm+MjdggQfBWwpPpTOiwQtZTAgyAWALMLko3z16lU8ffpUfOft7S2CuBR06NBBZJjo3Lmz+I62JUsx+SRTVgRKb5YYZMFO6kP+sYlRrFgx8UDRv39/4a9MH1qmtGOqPsck4Ck1mSqBgYFC6GtK80aWbHL7GDt2LP7++28haMkHmvLyKrI8UGAd5eclcU5+vZTZYuDAgSKLhWqaOvLtffPmjXI/XUHSwjdaFp32gzw4BFz/FhFpZAK0WAi4lUoQiLD9qjz5Mxl5R9cvDH2DnlyXLbuK8uWXo3fvfWpP0ISdlnzOGIZhGN2HXAc0ZVdIC2PGjBEpvF69inO3U4VeuVPgFmVeUM1ioJqzVgG9gaVtFTl9SQCSOwD91lEhCxLKs2bNEq4VJApV99u8ebMItCOBWbNmTeHzOmXKFJHpIb0s3Jqg6yJBSu4Z9KHzUhoyVcidIb7VeevWreK6SKxrgkQtXTOJeir8YW1tLfImKx5aKLUcuUjQwwelhPv111+F6Kb8zKrQOvWL0s/pEkay+ArGwKEnHbqhiy0thq1tt8LDxSP1B3t9FVhZN2693lSgxqgEmw3f4oMDN+WvY/rWyIdfmumXZfTjxxD067cfBw7EFd1Ys6YlevUqA11H8aqJ5twQXEuYpOH5lhZSmG961U5WtXz58iUrCMnQ55t8cUmAJXe+yceXLI7ke0oZDJjMgaq/FSpUSIhfTVXzknN/0982VcGj/6fnQ5OkLb5pcnUI9Qe2dolbz1kJqD4ywWbPPgUrRS/RpXLKqtVom6NHn8DDY6ma6B0ypAI6dCih1X4xDMMwzPcgiyhZanUtpZah4+vri59//jlJ0astJJ3VwYRcE1JDbAywqy8Q/C2i0r2cvBSxhidQsvYqaFHaHQVcko7i1BXCwqLg5XUSCxfGOc67uFhj9eqWaNZM/1w1GIZhGN3j5cuX4nV5Yty7dy/F5Y3j07NnzzTtz6QcynZBH11E0sI31SWL948Anv4jXyarcZsVgFnCV1A+L7/g7lt5uUJnW3P83kbd91dXuX37A7p02Y07dz4q25o0KYTVq1vA1VU/hDvDMAyj+1CBiaQKOWgqQMEwaUHSwtfEOBUW3/9WATfkUZ8wMga67gScC2r0RVK19naqmFsvShM/eeKPChVWIDIyRqxbWppizpz6GDKkosH60DEMwzDagTInpLWQA8OkBEn7+BohhULuw13g0Ji49eYLgQK1NW566PY7vP4SJpbzO9tgZL1C0AcKFsyKjh3l/rulS7vi2rUBGDq0EotehmEYhmH0Ht03QeqKqwMFs23pFLdetBlQrrvGTcnau/zsM+X6sDoFYWaiP88Y//tfExQqlBU//VQdFnpgpWYYhmEYhkkO+qPGMgBjclVIDpTxbXMH4OtL+XqW3ECb5YlufvTOe9x6HZc3r1WZxJNQa5OQkEgMGHAA27bdUWu3t7fAL7/UZNHLMAzDMIxBIWlzXrJ9fP9bCbz+T75slRXofQQwt0l083WX4tKm/NmxNIyNdc839urVt+jadTcePfLDjh33UK1aLuTKJa89zjAMwzAMY4iwxfd7BLwGjv8St06V2RxyJrr5oVvv8O8zf7FMsWAtSuuWtTcmJhbe3udQteoqIXoJCmS7detbajaGYRiGYRgDRdLCN1l5fHcPAKLlQWoo0QYo1jzpsr5nnirXl3UrDxMdsva+fBmAOnXWY+LEfxAdHSvaKlakVDID0bSpbubbYxiGYZi0QGV73dzcEBQUxAOZifzvf/9DixYtoGtIWvh+18f3wWHA90Kci0Pz+UlufvGpH26/kfv2lnC3R4PirtAVtm69IyqwnT3rq7RG//yzJy5c6INChZy03T2GYRjGgOjVq5fIBjRo0KAE3w0ZMkR8R9sQtJzUh7ajymt9+/YVZXCtra1RoEABTJ48GZGRkd/tC1UQGzp0qMaSxUWKFIG5uTnevHmT4Lu8efNi/vyEv/vURt+pEhgYKM5TtGhRUXqXhDaVSt69e7cwimUUVJK5Zs2asLKyQo4cOTBt2rTvni9v3rwJxtjLy0ttm5EjR6J8+fKwsLBAmTJlNB7n2LFjqFKlihhXFxcXtG3bVpQfVtC/f3/8999/OH/+PHQJSQvfJC2+YV+Bg6Pi1uv+Algm7gNLN9rEPbeV6/098+tECrDAwAj06LEHnTvvQkBAhGjLndsBZ870wvTpdWBmlsrqdQzDMAyTBLly5cLWrVsRFvbtrSmA8PBwbNmyRa0a27t375QfEpX29vZqbQsWLMCDBw/E7+ySJUtw584d/Pnnn1i2bBkmTpyY5By8fv0a+/fvR+/evRN8R4KM+tO+fXusXbs21XP59etXVKtWDevXr8eECRNw/fp1nD17Fh07dsRPP/2EgIC4YPf0hMR2/fr1RZEPEpiLFi3CnDlzMG/evO/uO23aNLUxnjRpktr3NNZ9+vQR16CJZ8+eoWXLlqhTp44oQEIi+PPnz2jTpo1yGxLNXbp0Ef3SJSQd3JakxVe1JHFeT6B8wj8aVfbffAtfv1CxXDqngyhPrAuEhkbhyJEnyvXOnUtiyZKmyJIlYaU5hmEYhkkvypUrJwQSWT27du0q2miZBHH+/PmV25F1VIGDg4MwGqm2EY0aNULDhg0RExMDExMTYfElF4alS5cKsZcY27dvR+nSpZEzZ8LYnFWrVglhRhZTsgiTiE6NwYr2I4v0o0eP1CrNUcnezp07CwtwRrBp0yYh3Em0k8gsWbKk6AMJ3zFjxiR5LXZ2dgnGWJWFCxeK/3/69Am3bt1K8D2Je5qL6dOnw9hYrqV+/PFHIYajoqJgZiZPF0uuDg0aNBAPP2SV1gVY+GrC9xLw5KR82cwaaLVE7huQCPRktOifOHE5pHZBncnk4OZmi1WrWqB79z1YsqQJunb10HaXGIZhmLTwV00gOK6kfKZhmw0YeCZFu5Cldc2aNUrhu3r1amFJPH36dJq7Q5bUrFmzJrkNWV4rVKiQoJ38fXfs2IHLly8L94SQkBDRp9q1NRelSozY2Fhh1abr01Re2dbWNtF9z507h8aNG39XVCdm1b506ZIQ7SR6FdDDAVmdSYjny5cv0eP+8ccf+O2338RDCFm8x40bJ1w+kguNKT2A0NySK0pwcDA2bNggRK5C9Cq2IyF85coV0VddgIVvfGKigX1D49brTJLn7U2Cc48/48nHYOV6/WKuWi057OhoCScna2VbixZF8Pz5SGTNqhtPWwzDMEwaINEb9FYvhrB79+5KIUYWyAsXLgihmFbh+/TpU/EKfe7cuUluR+clX9X4UB/IX7hECXml0k6dOgkLcEqFL73e//LlixDPKYVEIbkJJEVSwv79+/cJfI1dXV2V3yUmfEeOHCms8Y6OjkKQ0vyQb+7KlSuT3Xc67/Hjx4VoHjhwoLD+Vq1aFYcPH1bbzsbGBlmyZBHzwMJXV3187+4B/L9lZnAtBVRO6Jgf39o798Qj5frk5sW1Yu2lfqxdewPDhx9Bo0YFsWNHe7XXHCx6GYZhDASyvOrJeZ2dndG0aVOsW7dO/E7RMrWlhbdv3wrXBxJd/fr1S3JbesWuydWARG63bt2U67T8ww8/CH9dEmrJRRFIlhoXCXr1X7BgQaSF+OdNTn9Gjx6tXPbw8BACuF27dsIK7OSUvGB3EtY09j179hTuHGRB//XXX8VxTpw4oXZ+us7QULkrqC4gaYuvxhvjhErO3oYzgO8UubjwxA83X30Vy0Xd7NCzqvrTV2bg7x+GgQMPYufOe2J916772LLlDrp0KZXpfWEYhmEymBS6G2gbcm0YNmyYWF68eHGaRS8FdJF1cfnyxCuoKiCRTRZZVe7duydcHCggbPz48cp2slpS4N3gwYPFOgXZaQpMI3FMvsgEZTMg4Xj//v0UX0taXR3IR5cEqCofP35Us/wmhypVqoj/P3nyJNnCl+aRxmfWrFnKto0bNwrXCRpbxTEJf39/MU66gmSFrxE0iN7HJ4Ggd/Jl97JAvh+SPEZsrAzTD8nFJjG4VoFMt/aeOvVc+O++eROXn7Bv37LCvYFhGIZhtA1ZZxVpx8gHNbVQyjFKEUauC+RbqgiqSoqyZcsKoRvf2kvW3fginHxU6TuF8CX3BRLH8aE2SoNGUB8o8wHtS+nV4vv5ku8w+eCampqmu6sDiX8SxTS2Cv9ccj+gPsR3gUgKHx8f8f/s2bMnex+y4JKPryqKdfJ7VnVJoQA8mgddQbLCV2NGh4vyKEZBpYFJBrQRh26/w4P3csFZMoc9mnlkXiYHqrY2adI/mDPnIhQp+8i3d8WK5mjbtnim9YNhGIZhkoIEkcIiGl8spcTSS/63ZFGcPXu2yDagIKnsBCS06ZW8IhsEBVqRSKV0XpQFQRXajiyYN2/eFJkgKDNC9erVxbb0Cp/YtWsXjh49iosXLyr3+/3334XPcuXKlTFjxgwhaCnAiyy63t7eQihrcp9Iq6sDZaSYOnWqCC4jAfz48WPRF3I5ULzRJh/eHj164O+//xZ5fi9duoR///1XjCVZralv5PpA2RdUU8yR9ZcC1siiTO4iCoFevHhxIbLJZYVSytHYKFwdqA958uRRE7k0BpTBg7Jw6AqSFb4J3Bze3gCef3t9ZJcd8OiQ5P7hUTH4/XDcq42xDYpkWpW2Bw8+o0uXXfDxiXvFUadOPqxb1wo5c9pnSh8YhmEYJrnQa/G0QJZMEmP0IfGrSlIFG5o0aSJE6MmTJ4UIppy+fn5+aN26dYJtKditVKlSwupL6bzodT3lpyVxpyhkQcFw1EYiVwG5OpCYnDlzpkjv5evrK9roWCTSFW4R6Q0dl/xpKRUbiW06J4l1+qhaZintGwl+wsLCAtu2bROCOSIiQghVKjRB+YbjPwScORPnUqMQsxQER9Zkyt+7efNm8aBAHyoqQhZoeihQTVtGriN0fF3CSJaRJUV0EEr4TDdL6b9K48YAlVcM+0cA19fJl5vOBSom7TC/4uwzzPgmfD0LOWN9n0qZUrDi4cPPKFv2L4SFRYt1MzNjeHvXxejRVXUmhZouQbc3+WgpckMyhg3Pt7SQwnzTa2ISGxShn1H5YPVpvhWW25TMNxW92LdvnxCsTOZBhUbq1q0rcgsnJv6Tur/pb5ss5fT/tD44qSJZi6+aq0OIH3B7h3zZ3Bbw0FypRNXaqxC99Lfn1bhopv2jW7iwExo3LoTdu++jWDFnbN7cFmXKJP6ah2EYhmGkzIABA0SAG72O11S2mMkYyD2FqtlllMU7tUhW+KpxfS0Q9S3VRpmugEXSfxirL8TVom5Uwg0l3DNvUklgL1/eDIULZ8Uvv9SEtXVcomiGYRiGYdShwLKff/6ZhyWTadCggU6O+fdDIg0UY8Wlx0QBV1Z8azUCKg9Mcr+QiGgsOPlYLZNDRhEWFoURI47gwIGHau1UnMLbux6LXoZhGIZhmBQgWeGrdE24fyAuhVmRJoBT0kJ2wd+PEREtT9VRNb8TPHImP9F1Srh58z0qVlyBRYuuoE+f/Xj/Pq4yHMMwDMMwDJNyWPje2Bw3GpUHJDlYoZHRWH72mXzgjIBZ7TyQ3lBu4D//vIRKlVbi7l15upbg4Ehcvaof5SkZhmEYhmF0FVNJuzpQvfOn/8gbHHIBeZMuWLH+kq9yuV4xV+TKap2ufXr7Ngi9eu3FiRNycU2ULu0qAtiKF9edqicMwzAMwzD6iKmkXR3u7wdkMfKGkm2pBEui24dFxmDZmafK9aG101ZfOz579txH//4H4OcXpmwbO7YqZsyoAwsLyU4TwzAMwzBMuiFt4fvgUFxDyTZJbr/b5zW+hsoTQLco7Y7SudLHt5fcGEaPPoqVK+UlAwl3dztRjKJevfzpcg6GYRiGYRhGysKXynb4Xopzc3DzSNLvds2FF8r1XtWTXwP7e3z5EoYdO+LqiLduXVSUHabMDQzDMAzDMEz6IdngNpPYGCD6m1tB/lryShSJcPTuezz5KM+qUCGPI8qmk7WXyJXLAX/91Qw2NmZYubI5du3qwKKXYRiGYdKJf/75B0WLFkVsrDwjE5M5/PjjjxgxYgR0DckKX6OYiLiVgnUT3S46JhYL/36s5tubliptL18GIDBQ5dwAOnYsiSdPRqBv33IGW3aTYRiGkQ69evUSv2eDBg1K8N2QIUPEd7RN/O3jfxo1aoTTp0+LZWNjY5iZmYn/x99u7dq1ifblp59+EgUsaD9VwsLC4OjoiKxZs4rl+NBx9+7dm6B91KhRqFWrllrb+/fvMXz4cOTPnx8WFhbIlSsXmjdvjr///hsZyZkzZ1C+fHlR7pfOvWzZsiS3X7t2rcZxps/Hjx/FNlOmTNH4vY2NjfI47969Q5cuXVCkSBExrjQmmsZ9zZo1oiSxLiFZ4Yvob+LTzBooWD/RzfbffIsH74PEMvn11iqS+uwKW7fegYfHUgwffiTBd25utqk+LsMwDMPoGiT+tm7dqiYqw8PDsWXLFuTOnTvB9iRySVCpfmjbatWqiWUqgfvq1St06NAhwbYdO3bU2IeLFy/i8ePHaN++fYLvdu3ahZIlS6J48eLYvXt3qq/zxYsXQnySZXnWrFm4ffs2jh49itq1a2Po0KHIKEhQNmnSBJ6envDx8cHEiROFhZWuKzE6duyYYIwbNmyImjVrIlu2bEpLbfxtaIxUxzAiIgIuLi7igaJ06dIaz0XHo+pt3xPjmY2EfXy/ZXPIXRWw0Cw6w6NiMGb7TeX6hMZFU2WRJQvvsGGHsWHDLbG+fv1NtGhRGG3bFk9t9xmGYRhGpylXrhyePXsmRGXXrl1FGy2TICbrZHzIUurm5qbxWNQuk8kQExMDKysrIbwS21YVEt4kvsgiGp9Vq1ahW7du4ri0rOhjSlFYsK9cuaJmFS1RogT69OmDjIIEJT1AzJ8/X6wXK1YMV69exZw5c9C2bVuN+1hZWYmPgk+fPgnBTtevwNbWVnwU3Lx5E/fu3VMTsHnz5sWCBQvE8urVqxPtY4sWLfDLL7/gjz/+gK4gXeGrWMhVKdFtNqjk7fUs5IzK+bKm+DwXLrxEt2578OLFV2Vb584lUbcuZ2xgGIZhUk7Hgx3xOexzpg+ds5UztjXblqJ9evfuLV53K0QliSQSg+S+kBmcPXsWnTt3TtD+9OlTXLp0SQhxEr70qp5EuiZBnhT+/v7Cujtjxgw10asgS5bEY4I2bdqEgQMHJnn8v/76K1FBTv0nUa8KWW9JxEZFRQm3kO+xfv16WFtbo127dolus3LlShQuXFhYllNKpUqVhJXe19cXefLkgS7AwjdHeY0DExEdg5Xn4wpJ/NigSIqsvVFRMfjtt7OYMeOcyApB2NtbYMmSJujaNf0rvjEMwzDSgETvx1C5P6au0717d0yYMEG4A9Bv6IULF4QVVpPwPXjwoJqlkRg/frywGKYWOq+7u3uCdhLgjRs3Fj6+BLlOUNv06dNTdPwnT54I4UzBcymFrKGVK1dOchtXV9dEvyO/4vjf03p0dDQ+f/6M7Nmzf7cPq1evFr66qlZgVciyTgLdy8sLqSFHjhzKeWDhqwvpzAi3Uhq/33XtDT58C0KrmNcxRXl7nzzxR7duu3H58htlW/XqubBxYxvkzZt+GSEYhmEY6UGWV305r7OzM5o2bYp169YJgUjL1KYJ8oldunSpWhsFnqUF8i+O7+ZA7hLUH8WreoJcHkaPHo2pU6fCxMQk2cenayJS4wZpZ2cnPmkh/nlT0p9Lly4JFway+iYGWcSDgoLQo0ePVPVPIahDQ0OhK0jb4muZBbB11ejbu+T0E+X6xCbFkn3c+/c/oWLFFQgJkRe7MDExwpQpteDlVQOmptKNJWQYhmHSh5S6G2gbcm0YNmyYWF68eHGi25GrQMGC6VsVlUT2ly9f1NqOHTuGN2/eJAiII0F8/PhxYQkmSJQGBAQkOObXr1/h4OAglgsVKiRE5v3799GqVasU9S2trg7k40xWX1UoM4OpqSmcnJy+e/6VK1eiTJkyIjAvqW2aNWuWLH/qxFxBCAqE0xUkLHxlQLbiGvP3km/v6y/yKNTqBZ1QNrf8VUhyKFrUGZ6eeXD06BMUKOCITZvaoHLlnOnad4ZhGIbRF8iNIDIyUumDmpmULVtWWDVVIR/YTp06iYwEqsycOVN8pxC+5L7w33//oWfPnmoW1WvXrim3IYs0XRMJesqoEN/Pl0RyYn6+aXV1qFq1Kg4cOKDWRsK9QoUK3/XvDQ4Oxvbt2+Ht7Z1k1ohTp05h//79SC137twRfaFAP11BssJXkCVhOpXgiGgsPfNULBsbAeMapsxvh5781qxpiZkzz2P69DqwtTVPt+4yDMMwjL5BrgNkEVUsJwb5k8a3YJL1MjHXiORAopTcGlSzGJBYJDFHqcxUIYFLrhi0DVkoKa0XtZEApiAycptYvny5CIxTTVO2ZMkSkXKNArmmTZsGDw8P4Wd74sQJ4bqhuPb0dnWgHMn/+9//MGbMGPTv31+4LpBwpxRwCvbs2SN8rB88eKC277Zt20Qfk8pkQf6/5CesEPnxuXHjhlJE05jRurm5uUh9puDcuXMiKC4xH2JtINl370aJCN8155/DP0T+ZNq4ZHaUScK3NzIyBuPHn8DJk3FBcIqcvPPnN2LRyzAMwzAiuNtefJKCsiOQ0FL91KhRI03jR767ZPF9+PChWCd/VrLK1q1bV6OPMQnRDRs2iHXKF0wFH0g4V6xYUYhfEr0k5lQDtfLly4fr16+L/ceOHSsEdf369UXxivg+y+kJnffw4cMiUJBcFn777TcsXLhQLZUZuWoorl2VVatWoU2bNsrgvvhQlTu6diosktjDClnT6UMW8M2bN4tlyiusColwEuW6hJFM4QktEQIDA4VvToOFBXGs6kSgQm/ldx+DwlFz1mmERcXAxNgIx0f/gAIumnP8PnjwGV267IKPz3u4u9vh1q1BXGpYB6Hbm/7wac65Kp7hw/MtLaQw31TwgV45k8jRlItWSijy+JIQS8l8UwUxuk/IX5bJPA4dOoRx48bh1q1bwnKf0vub5ozcROj/33toSgnStfiS3I8X2Lb09FMheonOlXJpFL30h7ds2VWUK/eXEL3Ep08huHjxVSb1nGEYhmGY5EK+vGShJdHMZB4hISEih3Nioldb6FZvMhvruKjH119CsfFfecEKSzNjjKhbKMHmHz+GoF+//Thw4JGyrVgxZ2ze3BZlyqQu4pFhGIZhmIyD3ghQOV8mcyFXEV1EssJXvCSxiXOYn33sIaJi5F4fvavnQzY7dZM7ZWno1WsvPnwIUbYNGVIBs2c3gLX196ujMAzDMAzDMNpF2sLXSu7UTcFsR+/I3RacbMwx6IcCyu3CwqLg5XUSCxdeUba5uFhj9eqWaNascOZ3nGEYhmEYhkkVkhW+xpTH10KeRmTtheeIiI4Vy81Lu8NBxYL79m0QVq3yUa43aVIIq1e3gKur5qA3hmEYhklvJBaHzkgEmRbua8kGtwmbr4kZ/IIjsObiC9FiamyEvjXyqW1VoEBWLFzYGJaWpvjf/xrj4MHOLHoZhmGYTEFRiECXSr4yTHqhKGySkjLRaUWyFl8jI7nmX/TPEwSFR4vl1mVzwCQ8BqGhUWp+u717l0HduvmQJ0/iOX0ZhmEYJr0hQUApnagULWFtbW2wqdsyKp0Zo5vExsaKwhd0T2dm5gdJC1/y7d32nzwNmZWZCYpHGsHDYynaty+OpUubqWxrxKKXYRiG0QpubvKsQQrxK3WxZGws4ZfVBoaxsTFy586dqQ8y0hW+MMIfRx6IvL2xkTGwuv4ZfaZfFt8tW3YNTZsW5uA1hmEYRuuQKKAqZtmyZUNUVBSkCll8g4KCRHU1tvgaBubm5pn+ICNZ4Utsv/YKEe9C4H/wOV75hyvbW7cuiqpVc2q1bwzDMAyjCr3iz0xfSF0UvhEREaLCFwtfJrVo/X3BkiVLlKXqypcvL2pgJ8WZM2fEdrR9/vz5sWzZslSdNypahq8X3+H9xgeI/CZ6ya935crm2LWrA5cfZhiGYRiGMTC0Kny3bduGUaNGiXKCPj4+8PT0ROPGjfHy5UuN21M95yZNmojtaHuqxDJixAjs2rUrxef+d5Envp59A8TKU2lUrOiOGzcGom/fcvwkyTAMwzAMY4AYybSYHLBy5cooV64cli5dqmwrVqwYWrVqBW9v7wTbjx8/Hvv378f9+/eVbYMGDcLNmzdx6dKlZJ0zMDBQlC8EvKg4MYyNjTBhQg1MnlwTZmbSfYVkqNDtHRAQIOacX40ZPjzf0oLnW1rwfEuLgIAAkdGE/m9vb6//Pr6Uu+3atWvw8iIBGkeDBg1w8eJFjfuQuKXvVWnYsCFWrVolHP4V+Q5VIX8g+iigAfz2DWyzWmH7xtaoVi03QkOD0+W6GN38h5Jg4Wv48HxLC55vacHzLS0Cvv12p7d9VmvC9/PnzyIfn6urq1o7rb9/Ly8fHB9q17R9dHS0OB5FvcaHLMdTp07VcLQ/EexPldgmp/FKGIZhGIZhmIzAz8/v25t6A8nqEN8KR8o+Kcucpu01tSuYMGECxowZo1z/+vUr8uTJI/yI03MgGd2EXFty5cqFV69epeurEkY34fmWFjzf0oLnW3oW39y5cyNr1qzpelytCV9nZ2eRliW+dZcSdMe36qom8da0PVX8cHJy0riPhYWF+MSHRC8LIelAc83zLR14vqUFz7e04PmWFsbpnOfXWJtJiykt2YkTJ9Taab1atWoa96latWqC7Y8fP44KFSpo9O9lGIZhGIZhGJ1IZ0YuCCtXrsTq1atFpobRo0cLFwTK1KBwU+jRo4dye2r39fUV+9H2tB8Ftv34449avAqGYRiGYRhGH9Cqj2/Hjh2F0/K0adPw7t07lCxZEocPHxY+uAS1qeb0pUIX9D0J5MWLF8Pd3R0LFy5E27Ztk31OcnuYPHmyRvcHxvDg+ZYWPN/SgudbWvB8SwuLDNJrWs3jyzAMwzAMwzCSKVnMMAzDMAzDMJkBC1+GYRiGYRhGErDwZRiGYRiGYSQBC1+GYRiGYRhGEhik8F2yZInIAGFpaSlyBZ87dy7J7c+cOSO2o+3z58+PZcuWZVpfmcyd7927d6N+/fpwcXERSdApN/SxY8d4Ggz471vBhQsXRLGbMmXKZHgfGe3Nd0REBH7++WeRHYiiwQsUKCBSXzKGOd+bNm1C6dKlYW1tjezZs6N3794iWxSj+5w9exbNmzcXGbqo+u7evXu/u0+66DWZgbF161aZmZmZbMWKFbJ79+7JRo4cKbOxsZH5+vpq3P7Zs2cya2trsR1tT/vR/jt37sz0vjMZP9/0/R9//CG7cuWK7NGjR7IJEyaI/a9fv87Db4DzreDr16+y/Pnzyxo0aCArXbp0pvWXyfz5btGihaxy5cqyEydOyJ4/fy67fPmy7MKFCzwVBjjf586dkxkbG8sWLFggfstpvUSJErJWrVplet+ZlHP48GHZzz//LNu1axdlF5Pt2bMnye3TS68ZnPCtVKmSbNCgQWptRYsWlXl5eWnc/qeffhLfqzJw4EBZlSpVMrSfjHbmWxPFixeXTZ06lafEgOe7Y8eOskmTJskmT57MwteA5/vIkSMyBwcHmZ+fXyb1kNHmfM+ePVs80KqycOFCWc6cOXli9AwkQ/iml14zKFeHyMhIXLt2DQ0aNFBrp/WLFy9q3OfSpUsJtm/YsCGuXr2KqKioDO0vk/nzHZ/Y2FgEBQUha9asPB0GOt9r1qzB06dPRSJ0xrDne//+/aKE/axZs5AjRw4ULlxYVPYMCwvLpF4zmTnf1apVw+vXr0VhK9JOHz58wM6dO9G0aVOeCAPkUjrpNa1WbktvPn/+jJiYGLi6uqq10/r79+817kPtmraPjo4WxyOfIcZw5js+c+fORUhICDp06JBBvWS0Od+PHz+Gl5eX8BMk/17GsOf72bNnOH/+vPD/27NnjzjGkCFD4O/vz36+BjjfJHzJx5eqwIaHh4vf7RYtWmDRokWZ1GsmM0kvvWZQFl8F5CStCj0Jxm/73vaa2hnDmG8FW7ZswZQpU7Bt2zZky5YtA3vIaGO+6Ue0S5cumDp1qrD8MYb/901vcOg7EkOVKlVCkyZNMG/ePKxdu5atvgY43/fu3cOIESPw66+/Cmvx0aNH8fz5cwwaNCiTestkNumh1wzKBOLs7AwTE5MET4cfP35M8JSgwM3NTeP2ZB1ycnLK0P4ymT/fCkjs9u3bFzt27EC9evV4KgxwvsmFhV6B+fj4YNiwYUphRP9Q0t/38ePHUadOnUzrP5Pxf99k8SEXBwcHB2VbsWLFxJzTK/FChQrxNBjQfHt7e6N69eoYN26cWPfw8ICNjQ08PT0xffp0fmNrYLilk14zKIuvubm5SHNx4sQJtXZap1cimqB0VvG3px9E8hMzMzPL0P4ymT/fCktvr169sHnzZvYFM+D5pnR1t2/fxo0bN5QfsgQVKVJELFeuXDkTe89kxt83iaC3b98iODhY2fbo0SMYGxsjZ86cPAkGNt+hoaFiblUh8axqCWQMh6rppddkBpoOZdWqVSLdxahRo0Q6lBcvXojvKTq0e/fuCdJjjB49WmxP+3E6M8Od782bN8tMTU1lixcvlr179075oXRXjOHNd3w4q4Nhz3dQUJCI6G/Xrp3s7t27sjNnzsgKFSok69evnxavgsmo+V6zZo3493zJkiWyp0+fys6fPy+rUKGCyA7B6D5BQUEyHx8f8SE5Om/ePLGsSF+XUXrN4IQvQaImT548MnNzc1m5cuXEP34KevbsKatZs6ba9qdPn5aVLVtWbJ83b17Z0qVLtdBrJjPmm5bpDyz+h7ZjDPPvWxUWvoY/3/fv35fVq1dPZmVlJUTwmDFjZKGhoVroOZMZ803pyyglJc139uzZZV27dpW9fv2aB18POHXqVJK/xxml14zoP+lvkGYYhmEYhmEY3cKgfHwZhmEYhmEYJjFY+DIMwzAMwzCSgIUvwzAMwzAMIwlY+DIMwzAMwzCSgIUvwzAMwzAMIwlY+DIMwzAMwzCSgIUvwzAMwzAMIwlY+DIMwzAMwzCSgIUvwxgAa9euRZYsWaCv5M2bF/Pnz09ymylTpqBMmTKQIv/88w+KFi2K2NjYTD1vr1690KpVKxgSL168gJGREW7cuKG1Ppw+fVr04evXr9AmBw8eRNmyZTP9vmIYbcLCl2F0BBIZ9GMY//PkyROdENaqfcqePTs6dOiA58+fp8vx//vvPwwYMEC5TufYu3ev2jY//vgj/v77b2Tmdbq6uqJ58+a4e/euVh9EfvrpJ/z8888wNjbW2E9bW1uUL18eu3fvTrdzSplatWph1KhRMHSaNWsm7p/NmzdruysMk2mw8GUYHaJRo0Z49+6d2idfvnzQBezt7UV/3r59K34oyWLWokULxMTEpPnYLi4usLa2TnIbEndOTk7IzOs8dOgQQkJC0LRpU0RGRkIbXLx4EY8fP0b79u019pM+Pj4+aNiwoXgYefjwIXQZbY0jo5nevXtj0aJFPDyMZGDhyzA6hIWFBdzc3NQ+JiYmmDdvHkqVKgUbGxvkypULQ4YMQXBwcKLHuXnzJmrXrg07OzshkMgaePXqVTUx9cMPP8DKykocb8SIEULgJQVZhqg/ZO2lY0+ePBl37txRWqSXLl2KAgUKwNzcHEWKFMGGDRsSuCrkzp1bXKO7u7s4pyZXB1omWrduLc6pWFd1dTh27BgsLS0TvCqmY9asWTPdrrNChQoYPXo0fH191QRlUvNBr7FJTAQEBCgtstR3hegj622OHDnEvpUrVxbbJ8XWrVvRoEEDcb2a+kmfQoUKYfr06cIifOvWLeU2GzduFNdA9wFt16VLF3z8+FHtOGTNJmFP9wlt5+npiadPn2rsy7Vr15AtWzbMmDFD2UbnpTbat1+/fvDy8lJzSVG4S3h7e4t5L1y4sGi/ffs26tSpI+aGHmjI4q96T2uyutJx6HgK6N74/fff0adPH3F+ur+WL1+uts+VK1fE63waPxoLekhIK9+7r5Iz7qqEhYWJOahSpQr8/f3h5+eHzp07I2fOnOKBkO61LVu2qO0TFBSErl27ivuI7tU///wzwZgl536jh1cao2fPnqV5XBhGH2DhyzB6AAmahQsXCqG5bt064fNJP2iJQT+I9KNJLgQkVkiMmJmZKQUHWQfbtGkjRNK2bdtw/vx5DBs2LEV9oh99IioqCnv27MHIkSMxduxY0ceBAwcK8Xfq1Cmxzc6dO8UP819//SWsl+TGQD/mmqA+E2vWrBHWTMW6KvXq1ROuBLt27VK2keV5+/bt4trT6zpJWCteAyvG73vzUa1aNSHiVS2y5KZB0JhcuHBBiFnqE1lxycpPY5IYZ8+eFSIqKejaqR9EuXLl1ITPb7/9Jh6EaMzJNUVVOL5580YIOBKFdA10r5CIjI6OTnAOEkx169bF1KlThdsFsWnTJiGC//jjD7EvCU96AIoPuajcv38fJ06cEH6loaGh4rodHR3F/O7YsQMnT55M8T1IzJ07Vylo6QFk8ODBePDggfiOxCi9zqcHMeofPYAo5iK1JOe++t64q0IPSPRgQ/vQOGXNmhXh4eHiYZXGiu4xeijo3r07Ll++rNxvzJgx4l7av3+/GNdz587h+vXrasdOzv2WJ08e8eBC+zOMJJAxDKMT9OzZU2ZiYiKzsbFRftq1a6dx2+3bt8ucnJyU62vWrJE5ODgo1+3s7GRr167VuG/37t1lAwYMUGs7d+6czNjYWBYWFqZxn/jHf/XqlaxKlSqynDlzyiIiImTVqlWT9e/fX22f9u3by5o0aSKW586dKytcuLAsMjJS4/Hz5Mkj+/PPP5Xr9E/Tnj171LaZPHmyrHTp0sr1ESNGyOrUqaNcP3bsmMzc3Fzm7++fpuukc9PYW1tbi2X6tGjRQpYU35sP4smTJzIjIyPZmzdv1Nrr1q0rmzBhQqLHpuOsX78+0X7Sh67JwsJCtCfFlStXxH5BQUFinc6bL1++ROeF7smWLVvK9u7dK+6pzZs3q31fuXJl2dChQ9XaqlevrjZPdAxXV1dxnyhYvny5zNHRURYcHKxsO3TokLiO9+/fi/WaNWvKRo4cqXZs6gsdT/W+6datm3I9NjZWli1bNtnSpUvF+l9//SXLmjWrLCQkRLkNfUdj4OPjk+g4aTq3gtTcV/HH/dSpU2L9wYMHYqzatGmjNj6aoL+lsWPHiuXAwECZmZmZbMeOHcrvv379Ku5ZRb9Tcr+VLVtWNmXKlCTPzzCGgqm2hTfDMHGQC4GqxYxeTxJkOaVXuvfu3UNgYKCwyJFViCxaim1UIWsQvXYmdwOyjpKlh9wQCLJ8kXsCWesUkNakyG6yTBUrVixRyxT52dK2ZLEjyyIFU5FrA1nzVIPTiOrVq2PBggVimc5PVtD8+fMLi1OTJk1E0Jipaer/CSLLbtWqVYUvLr1Cp+uh45IVMS3XSa+nyXJGY3zmzBnMnj0by5YtU9smpfNB0DHp/IpX/QoiIiKS9F2m1+Dx3RxU+0nQfJDFlCztdCwaW4KsoGTlJH9seoWuiN5/+fIlihcvLtrJtUHVmh0fsjKS5ZGssuR+ogq5f5CVVZVKlSoJ67EqZN2n+0QB3S+lS5dWGyu6X6h/dEwKKkwuHh4eCdw/FG4FivOo+o/TPZMWknNffW/cFdDfZsWKFcWbCnJpUrXgz5w5U1iTySpP9wh9FONFbgn0poXGWoGDg4OwbKfmfqO3N3QPMYwUYOHLMDoE/bAVLFhQrY38S0nQDRo0SLw+pVeh9Gq1b9++4sdPE/SjS36FFJx15MgR4Y9LrztJuNCPMAkkVR9bBfSqOjEUQote85MwiS/wSHSoQj+6ijbygyRBQ69kSaCRWCJBScIyKdGVFPSjT2Keroteb5O7BblHKEjtddL1KeaAUoi9f/8eHTt2FC4HqZ0PRX9I3JBwUhU5BD1QJIazszO+fPmSZD8VAvD48ePC7YCEL4lweoVOH/I5pQBCEl70ml4RYKZwV0kKGmMSSqtXrxZ+qKoCNrF5j0/8e0X13oiPop2uL/6xNI1v/PuH9lcITU19SSvfu6+SM+4KaDzJXYceoFRdf8h9g1yD6GFR4UtOvruK/RXXldTYp+R+I3FO/WQYKcDCl2F0HApKI4si/Rgq0lmRheh7kKWHPhScRYEyJApJ+JKllgKa4gvs7xFfaKlCVi4Sfz169FALAFK1qpLIokAa+gwdOlSISvKXVPVJVRUzyckWQeKeLG/kz0z9IyGhILXXGR8aPwpmI2FN45ec+SBxGL//FGBFbWSNJCtrcqH9SBglBxI4ZCEmyM/18+fPwnJIDx6EaoCjQiyTbzAJysQeQEh4k2WfAqfoAYCuVbEtWRgpMIr8TxXEP4cmyOpJ51W1kJMvKo2nwkJJQoz8oxXQ2JG/K70VSS50HnrrQWOiEPn//vsv0sL37iu6p7837gpoGxKh5DtNPtQKazD527Zs2RLdunVTiljyy1X8PdHDCM0Bjb3iHPTmgbZRBHcm936jNxUUzEjbM4wU4OA2htFx6EeOhBalHKJXnPRDHv/Vuyr0I0+BNvRDStZJEhQUQKT40Rw/fjwuXbokxCe9iqUfSwqQGT58eKr7OG7cOJFblvpFxyOhSGJJEUhE361atUoIF8U1kBChwBpNULQ+BfqQtVWTtVPV3YGs0BRg1a5dOzWXgPS6TgpSI7cRspqTRS0580H9pwwFdA0kgug1Mgk66i89HNDY0Gtxmhey0B4+fDjR85OlkB4q4kN9ofGhDx2LshlQtgsSTArrIwlwRT/p2slCrQrdJySYOnXqJMQZjRFdT/yUaBT8RO4LJKbpIUoR/EZjSfNKIpb2pQwPFESVmDVXAY0DzVXPnj3FPUGuI3QsEtAKNwfK+EBvLOhD56W3BCkt+EAPRiSmyRpPDw80znPmzEnWvp8+fRL3jeqHxvp791Vyxl0V6g+NB12vIiiPRDW9HaGHR3LXIAsznVv17QuNHf3d0diREKegRLpWxdgn936jBwHKtJJWFxCG0Ru07WTMMIx6IJEm5s2bJ8uePbvMyspK1rBhQxHsRH++X758SRBMRUEynTp1kuXKlUsEe7m7u8uGDRumFnhDwTb169eX2draiuAoDw8P2YwZMxKdCk3BWvFZsmSJLH/+/CLohgLZVAOyKFCNAqHs7e3F+Sgw7uTJk4kGt+3fv19WsGBBmampqfhOU3CbgooVK4qx+OeffxJ8l17X6evrK/qybdu2ZM0HMWjQIBHwRu3Ud4KCyH799VdZ3rx5xTi5ubnJWrduLbt161aifaJgPToPBUKp9lMReEcfCmyjMadri46OVm5HwWh0Lvq+atWqYlzjB3bdvHlT1qBBAxEYRQFsnp6esqdPn2q8J9++fSvO06FDB+V5pk2bJnN2dhZj3KdPHxF0SPP7vfuarrl27doyS0tLEYBGwZGK4C/FWA0ePFh8RwFr3t7eGoPbVO8bgu4RxXgTly5dEm30t1CmTBnZrl27khXcpjq+io/iuN+7r7437orgNtX7Zfjw4eKeevjwoczPz09cKx2frn3SpEmyHj16qI0jBbh16dJFzBvdR3RPVqpUSebl5aU2ht+73yhQb+DAgYmOBcMYGkb0H22Lb4ZhGCZxKFUaBRdSOjhdp379+iLALH4eZyZjIbcRytdLLjhk4U6uVZtcjsjaryuFchgmo2EfX4ZhGB2H8uYuXrxY+GzGD1TSJuTCQW4e5I5B/aIiCxS8SK/pmYyFMkeQawQFedJD0bRp00S7wtUlOZD7w5IlS1j0MpKCLb4MwzBMqiB/csogQX7WlCaLgt0mTZokijswGS98yfec/LHJp5gKXigqCjIMkzgsfBmGYRiGYRhJwFkdGIZhGIZhGEnAwpdhGIZhGIaRBCx8GYZhGIZhGEnAwpdhGIZhGIaRBCx8GYZhGIZhGEnAwpdhGIZhGIaRBCx8GYZhGIZhGEnAwpdhGIZhGIaBFPg/if9m9ZJKykwAAAAASUVORK5CYII=", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 7.1: ROC Curves for the Top 3 Observables\n", + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from sklearn.metrics import roc_curve, auc\n", + "\n", + "# We use the 'Winners' we identified in Exercise 6.1\n", + "top_3 = ['M_R', 'MT2', 'MET']\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "\n", + "# The 'True' labels for our data (1 for signal, 0 for background)\n", + "y_true = df['signal']\n", + "\n", + "for var in top_3:\n", + " # We use the actual values of the variable as the 'score'\n", + " y_score = df[var]\n", + " \n", + " # Calculate the False Positive Rate and True Positive Rate\n", + " fpr, tpr, thresholds = roc_curve(y_true, y_score)\n", + " \n", + " # Calculate the Area Under the Curve (AUC)\n", + " roc_auc = auc(fpr, tpr)\n", + " \n", + " # Plot the curve\n", + " plt.plot(fpr, tpr, lw=2, label=f'{var} (AUC = {roc_auc:.3f})')\n", + "\n", + "# Plot the 'Random Guess' line (The diagonal)\n", + "plt.plot([0, 1], [0, 1], color='navy', lw=2, linestyle='--')\n", + "\n", + "plt.xlim([0.0, 1.0])\n", + "plt.ylim([0.0, 1.05])\n", + "plt.xlabel('False Positive Rate (Background Leakage)')\n", + "plt.ylabel('True Positive Rate (Signal Efficiency)')\n", + "plt.title('Exercise 7.1: ROC Curves for Top 3 Observables')\n", + "plt.legend(loc=\"lower right\")\n", + "plt.grid(alpha=0.2)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 7.2: Reusable ROC Function\n", + "def plot_custom_roc(dataframe, features, title=\"ROC Comparison\"):\n", + " \"\"\"\n", + " Logic: This function takes a list of column names and plots their \n", + " ROC curves together on one graph.\n", + " \"\"\"\n", + " plt.figure(figsize=(8, 6))\n", + " y_true = dataframe['signal']\n", + " \n", + " for var in features:\n", + " fpr, tpr, _ = roc_curve(y_true, dataframe[var])\n", + " roc_auc = auc(fpr, tpr)\n", + " plt.plot(fpr, tpr, label=f'{var} (AUC = {roc_auc:.3f})')\n", + " \n", + " plt.plot([0, 1], [0, 1], color='gray', linestyle='--')\n", + " plt.xlabel('False Positive Rate')\n", + " plt.ylabel('True Positive Rate')\n", + " plt.title(title)\n", + " plt.legend(loc=\"lower right\")\n", + " plt.grid(alpha=0.2)\n", + " plt.show()\n", + "\n", + "# Testing the function with a different set of features to make sure it works\n", + "plot_custom_roc(df, ['l_1_pT', 'MET_rel'], \"Testing the ROC Function\")" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 7.3: ROC curve after successive selections\n", + "# We want to see how 'MET' performs as we apply our other cuts.\n", + "\n", + "# 1. Baseline: MET on the full, original dataset\n", + "# 2. Step 1: Apply the M_R cut (> 1.0)\n", + "df_after_cut1 = df[df['M_R'] > 1.0]\n", + "\n", + "# 3. Step 2: Apply the MT2 cut (> 1.5) on the already-cut data\n", + "df_after_cut2 = df_after_cut1[df_after_cut1['MT2'] > 1.5]\n", + "\n", + "plt.figure(figsize=(8, 6))\n", + "\n", + "# Plot ROC for MET in all 3 stages\n", + "for label, data in [(\"Full Data\", df), (\"After M_R Cut\", df_after_cut1), (\"After M_R & MT2 Cuts\", df_after_cut2)]:\n", + " fpr, tpr, _ = roc_curve(data['signal'], data['MET'])\n", + " plt.plot(fpr, tpr, label=f'{label} (AUC = {auc(fpr, tpr):.3f})')\n", + "\n", + "plt.plot([0, 1], [0, 1], color='black', linestyle='--')\n", + "plt.title('Exercise 7.3: MET Performance After Successive Cuts')\n", + "plt.xlabel('FPR')\n", + "plt.ylabel('TPR')\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Exercise 7.4: Demonstrating the Effect of Selection Order\n", + "# Logic: We'll see if applying MET then M_R is different from M_R then MET.\n", + "\n", + "# Path A: M_R first, then MET\n", + "path_A = df[df['M_R'] > 1.0]\n", + "path_A_final = path_A[path_A['MET'] > 0.8]\n", + "\n", + "# Path B: MET first, then M_R\n", + "path_B = df[df['MET'] > 0.8]\n", + "path_B_final = path_B[path_B['M_R'] > 1.0]\n", + "\n", + "# Now we check the performance of our remaining best variable (MT2) on both\n", + "plt.figure(figsize=(8, 6))\n", + "\n", + "for label, data in [(\"Order: M_R -> MET\", path_A_final), (\"Order: MET -> M_R\", path_B_final)]:\n", + " fpr, tpr, _ = roc_curve(data['signal'], data['MT2'])\n", + " plt.plot(fpr, tpr, label=f'{label} (AUC = {auc(fpr, tpr):.3f})')\n", + "\n", + "plt.title('Exercise 7.4: Effect of Selection Order on MT2 ROC')\n", + "plt.legend()\n", + "plt.show()\n", + "\n", + "# Reasoning: Usually, the final data pool is the same, so the final ROC is identical.\n", + "# The 'order' only matters if you are doing things like 'Adaptive' cuts." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Exercise 8: Linear Discriminant\n", + "\n", + "### Exercise 8.1\n", "\n", "Using numpy, compute the between-class $\\bf{S}_B$ and within-class $\\bf{S}_W$ covariance matrices defined as:\n", "\n", @@ -1434,6 +2652,212 @@ "What is the maximal significance you can obtain in the scenarios in exercise 5? " ] }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Scatter matrices S_B and S_W have been successfully computed.\n", + "Shape of S_B: (18, 18)\n", + "Shape of S_W: (18, 18)\n" + ] + } + ], + "source": [ + "# Exercise 8.1 (Part 1): Computing Between-Class (Sb) and Within-Class (Sw) Scatter Matrices\n", + "import numpy as np\n", + "\n", + "# We'll use all the physical observables (everything except the 'signal' column)\n", + "features = VarNames[1:]\n", + "X_sig = df_sig[features].values\n", + "X_bkg = df_bkg[features].values\n", + "\n", + "# 1. Compute the mean vectors for signal (m2) and background (m1)\n", + "m2 = np.mean(X_sig, axis=0) \n", + "m1 = np.mean(X_bkg, axis=0) \n", + "\n", + "# 2. Compute the Between-Class Scatter Matrix (Sb)\n", + "# Formula: Sb = (m2 - m1)(m2 - m1)^T\n", + "m_diff = (m2 - m1).reshape(-1, 1)\n", + "S_B = m_diff @ m_diff.T\n", + "\n", + "# 3. Compute the Within-Class Scatter Matrix (Sw)\n", + "# Formula: Sw = sum over both classes of sum(x - m_i)(x - m_i)^T\n", + "# This is essentially the sum of the covariance matrices scaled by (N - 1)\n", + "S_W1 = (len(X_bkg) - 1) * np.cov(X_bkg, rowvar=False)\n", + "S_W2 = (len(X_sig) - 1) * np.cov(X_sig, rowvar=False)\n", + "S_W = S_W1 + S_W2\n", + "\n", + "print(\"Scatter matrices S_B and S_W have been successfully computed.\")\n", + "print(f\"Shape of S_B: {S_B.shape}\")\n", + "print(f\"Shape of S_W: {S_W.shape}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Linear coefficients (w) have been calculated and the projected distributions plotted.\n" + ] + } + ], + "source": [ + "# Exercise 8.1 (Part 2): Computing Weights and the Fisher Discriminant\n", + "import matplotlib.pyplot as plt\n", + "\n", + "# 1. Compute the linear coefficients (w)\n", + "# Formula: w = Sw^-1 * (m2 - m1)\n", + "# Note: We use np.linalg.inv to get the inverse of the Within-Class scatter\n", + "S_W_inv = np.linalg.inv(S_W)\n", + "w = S_W_inv @ (m2 - m1)\n", + "\n", + "# 2. Project our data onto this new 1D line to get our 'Super-Variable' (Fn)\n", + "# This is a simple dot product: Fn = w^T * x\n", + "F_sig = X_sig @ w\n", + "F_bkg = X_bkg @ w\n", + "\n", + "# 3. Compare the distributions in a histogram\n", + "plt.figure(figsize=(10, 6))\n", + "plt.hist(F_sig, bins=100, alpha=0.5, density=True, color='red', label='Signal (Fisher Output)')\n", + "plt.hist(F_bkg, bins=100, alpha=0.5, density=True, color='blue', label='Background (Fisher Output)')\n", + "\n", + "plt.title('Exercise 8.1: Distribution of the Fisher Linear Discriminant ($F_n$)')\n", + "plt.xlabel('Fisher Output Value ($F_n$)')\n", + "plt.ylabel('Probability Density')\n", + "plt.legend()\n", + "plt.grid(alpha=0.2)\n", + "plt.show()\n", + "\n", + "print(\"Linear coefficients (w) have been calculated and the projected distributions plotted.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The AUC for the Fisher Discriminant is: 0.8375\n" + ] + } + ], + "source": [ + "# Exercise 8.1 (Part 3): Drawing the ROC Curve for the Fisher Discriminant\n", + "from sklearn.metrics import roc_curve, auc\n", + "\n", + "# 1. Combine our signal and background projections into one 'Scores' list\n", + "# And create a corresponding 'Truth' list (1 for signal, 0 for background)\n", + "F_all = np.concatenate([F_sig, F_bkg])\n", + "y_all = np.concatenate([np.ones(len(F_sig)), np.zeros(len(F_bkg))])\n", + "\n", + "# 2. Calculate the ROC and AUC\n", + "fpr_f, tpr_f, _ = roc_curve(y_all, F_all)\n", + "roc_auc_f = auc(fpr_f, tpr_f)\n", + "\n", + "# 3. Plot the final ROC curve\n", + "plt.figure(figsize=(8, 8))\n", + "plt.plot(fpr_f, tpr_f, color='green', lw=3, label=f'Fisher Discriminant (AUC = {roc_auc_f:.3f})')\n", + "plt.plot([0, 1], [0, 1], color='gray', linestyle='--', label='Random Guess')\n", + "\n", + "plt.xlim([0.0, 1.0])\n", + "plt.ylim([0.0, 1.05])\n", + "plt.xlabel('False Positive Rate (Background Efficiency)')\n", + "plt.ylabel('True Positive Rate (Signal Efficiency)')\n", + "plt.title('Exercise 8.1: ROC Curve for the Fisher Linear Discriminant')\n", + "plt.legend(loc=\"lower right\")\n", + "plt.grid(alpha=0.3)\n", + "plt.show()\n", + "\n", + "print(f\"The AUC for the Fisher Discriminant is: {roc_auc_f:.4f}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Maximal Significance Results using Fisher Linear Discriminant:\n", + "-----------------------------------------------------------------\n", + "Scenario Ns= 10, Nb= 100 | Max Significance = 1.53 σ\n", + "Scenario Ns= 100, Nb= 1000 | Max Significance = 4.85 σ\n", + "Scenario Ns= 1000, Nb= 10000 | Max Significance = 15.33 σ\n", + "Scenario Ns= 10000, Nb= 100000 | Max Significance = 48.46 σ\n", + "-----------------------------------------------------------------\n", + "Reasoning: By mathematically combining all 18 observables into a single\n", + "discriminant, we achieve a much higher discovery power than any single\n", + "variable selection could provide on its own.\n" + ] + } + ], + "source": [ + "# Exercise 8.1 (Part 4): Calculating Maximal Significance for the Fisher Discriminant\n", + "# Logic: We are going to scan across all possible thresholds of our new \n", + "# 'Super-Variable' (Fn) to find the best possible significance. \n", + "\n", + "# These are the same 4 scenarios from earlier in the lab\n", + "scenarios = [(10, 100), (100, 1000), (1000, 10000), (10000, 100000)]\n", + "\n", + "print(\"Maximal Significance Results using Fisher Linear Discriminant:\")\n", + "print(\"-\" * 65)\n", + "\n", + "# We use the TPR (Signal Efficiency) and FPR (Background Efficiency) \n", + "# we just calculated for the Fisher variable in the previous ROC cell.\n", + "for ns_total, nb_total in scenarios:\n", + " ns_prime = tpr_f * ns_total\n", + " nb_prime = fpr_f * nb_total\n", + " \n", + " # Formula: Significance = Signal' / sqrt(Signal' + Background')\n", + " # We use the arrays directly to calculate significance at every threshold at once\n", + " denom = np.sqrt(ns_prime + nb_prime + 1e-10)\n", + " significance_f = ns_prime / denom\n", + " \n", + " # Find the absolute highest point on the significance curve\n", + " max_sig_f = np.max(significance_f)\n", + " \n", + " print(f\"Scenario Ns={ns_total:6}, Nb={nb_total:7} | Max Significance = {max_sig_f:.2f} \\u03C3\")\n", + "\n", + "print(\"-\" * 65)\n", + "print(\"Reasoning: By mathematically combining all 18 observables into a single\")\n", + "print(\"discriminant, we achieve a much higher discovery power than any single\")\n", + "print(\"variable selection could provide on its own.\")" + ] + }, { "cell_type": "code", "execution_count": null, @@ -1444,9 +2868,9 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python (ds)", "language": "python", - "name": "python3" + "name": "ds" }, "language_info": { "codemirror_mode": { @@ -1458,7 +2882,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.13.12" + "version": "3.11.14" } }, "nbformat": 4, diff --git a/Lectures/.DS_Store b/Lectures/.DS_Store new file mode 100644 index 00000000..6ffb5a0d Binary files /dev/null and b/Lectures/.DS_Store differ diff --git a/Lectures/Lecture.16/Lecture.16.pdf b/Lectures/Lecture.16/Lecture.16.pdf deleted file mode 100644 index d22cfc46..00000000 Binary files a/Lectures/Lecture.16/Lecture.16.pdf and /dev/null differ