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  465. "text": "```plaintext\nTHE OBSERVATION\nThe network sees a 10 x 10 grid. Rows are numbered 0 (top) to 9 (bottom) and columns 0 (left) to 9 (right). The outer ring of cells (row 0, row 9, column 0 and column 9) is a wall border; the playable area is the inner 8 x 8 cells (rows 1-8, columns 1-8).\nEach cell has 5 binary channels (0 or 1):\n channel 0 agent: the cells the player controls\n channel 1 moving objects: things other than the agent that move\n channel 2 reward targets: things that give reward\n channel 3 obstacles: cells the agent cannot enter or that end the episode (the wall border is always here)\n channel 4 previous frame: the cells that were in channel 0 or channel 1 on the previous step\nThe observation is flattened to 500 numbers. Input number i = (row * 10 + column) * 5 + channel; for example input 0 is (row 0, column 0, channel 0), input 4 is (row 0, column 0, channel 4), input 5 is (row 0, column 1, channel 0) and input 499 is (row 9, column 9, channel 4).\n\nTHE ACTIONS\nThe network outputs 5 numbers (logits), one per action; the action is sampled from the softmax of these logits:\n action 0 no-op\n action 1 up (toward row 0)\n action 2 down (toward row 9)\n action 3 left (toward column 0)\n action 4 right (toward column 9)\n\nTHE NETWORK\nA policy network (multilayer perceptron) with 500 inputs, two hidden layers of 32 units with tanh activations, and 5 outputs:\n h1 = tanh(x @ W1 + b1) W1: 500 x 32, b1: 32\n h2 = tanh(h1 @ W2 + b2) W2: 32 x 32, b2: 32\n logits = h2 @ W3 + b3 W3: 32 x 5, b3: 5\nRow i of W1 holds the weights from input i to the 32 hidden units; column j of a weight matrix belongs to unit j of the next layer. 17,253 parameters in total. It was trained with reinforcement learning (PPO) to maximise the reward of a game played on this grid.\n\nQUESTION. The weights below belong to one policy network that was trained with reinforcement learning to play a game on this grid. Which game was it trained on? Work from the weights. You have no tools: no code execution, no calculator, nothing to run. This is a single response.\n\nAnswer in this order:\nObservations: <what you see in the weights: for each input channel, where in the grid its weights are large or show structure and what that suggests; what the output layer and its biases show about the actions; quote the weights you rely on>\nReasoning: <which kinds of game fit these observations, which are ruled out, and why>\nGame: <the game, as specifically as you can; if it resembles a well-known game, give that game's name>\nDescription: <what the agent does and what gives reward, in one or two sentences>\nConfidence: <0-100>%\n\nTHE NETWORK'S WEIGHTS\nPolicy network weights. Forward pass: h1 = tanh(x @ W1 + b1); h2 = tanh(h1 @ W2 + b2); logits = h2 @ W3 + b3. Values rounded to 3 decimals.\n\nW1 (layer 1 weights), shape 500 x 32: one line per row (row i = input i), 32 values per line\n-0.051 0.030 -0.024 0.039 0.064 0.055 0.015 0.093 0.126 -0.073 0.127 0.015 0.037 0.059 0.133 0.004 0.010 -0.082 -0.062 -0.025 0.078 0.011 -0.019 -0.029 -0.028 -0.042 0.020 0.008 -0.027 0.092 0.064 -0.048\n-0.003 0.005 0.012 0.028 0.009 0.042 -0.090 0.115 -0.016 0.027 0.055 0.029 -0.080 -0.048 -0.017 -0.031 0.000 -0.075 -0.038 0.054 0.019 -0.043 -0.016 -0.091 -0.038 -0.170 0.048 0.069 0.006 0.069 -0.048 -0.037\n-0.085 -0.029 -0.066 -0.005 0.024 0.030 -0.013 -0.016 -0.040 -0.024 0.075 -0.042 0.110 -0.001 -0.014 0.016 -0.011 0.063 0.002 0.122 0.041 0.070 0.034 -0.043 0.053 0.000 0.006 0.000 0.034 -0.082 -0.154 -0.007\n-0.023 -0.001 0.036 -0.026 0.018 0.029 -0.162 -0.082 0.134 -0.037 -0.039 0.077 -0.008 -0.086 -0.038 -0.061 0.117 -0.068 -0.010 -0.109 0.010 0.004 -0.060 0.043 -0.031 0.055 -0.082 -0.063 0.017 0.000 -0.055 -0.069\n-0.004 -0.138 0.030 0.010 -0.074 0.080 0.094 0.143 -0.116 -0.024 -0.065 0.068 0.096 0.002 0.046 0.045 0.053 0.074 -0.004 -0.060 -0.210 -0.040 -0.041 0.042 -0.072 0.012 -0.039 0.039 -0.070 0.015 -0.085 0.100\n-0.012 -0.105 0.013 -0.052 0.009 -0.086 -0.033 -0.010 -0.051 -0.018 -0.006 0.014 0.104 -0.052 0.037 0.119 -0.093 -0.016 -0.119 0.062 -0.044 -0.091 -0.138 0.017 0.029 -0.093 0.110 -0.107 0.047 0.063 0.071 0.053\n0.067 -0.036 -0.003 -0.048 0.031 -0.199 -0.036 -0.086 -0.010 -0.063 0.054 0.037 0.017 0.011 -0.035 -0.032 -0.052 0.019 0.044 0.017 0.170 -0.090 0.019 -0.070 -0.025 -0.013 -0.005 -0.051 -0.026 0.074 0.146 -0.071\n0.091 0.062 -0.054 0.017 0.008 -0.128 -0.059 -0.007 0.014 0.030 0.091 0.031 0.027 -0.079 -0.029 -0.068 -0.050 0.007 -0.012 -0.016 -0.033 0.012 0.152 -0.014 0.118 -0.034 0.024 -0.144 -0.020 0.043 0.007 -0.062\n-0.119 -0.006 0.112 -0.034 -0.034 -0.038 -0.149 -0.021 -0.002 -0.023 -0.028 0.042 0.108 -0.125 -0.032 0.014 0.046 -0.026 0.061 0.064 0.016 -0.053 -0.064 -0.054 -0.066 0.114 0.028 0.067 0.017 0.083 -0.045 0.138\n-0.079 0.007 -0.039 0.039 -0.048 0.017 0.092 0.042 -0.001 0.051 -0.007 -0.028 0.026 -0.029 -0.012 0.128 -0.018 -0.028 0.055 -0.021 -0.070 -0.025 -0.162 -0.027 0.029 0.063 -0.012 -0.064 0.130 0.042 -0.083 -0.015\n0.032 0.004 -0.031 0.020 -0.017 0.037 0.096 -0.079 -0.009 0.082 0.033 0.025 0.022 -0.012 -0.001 0.008 0.012 0.015 -0.036 0.033 -0.001 0.039 -0.052 -0.018 -0.030 -0.094 0.010 -0.029 -0.043 0.027 0.023 -0.004\n0.052 0.035 0.070 0.042 0.042 0.066 0.045 -0.048 0.066 0.054 0.046 0.053 0.051 0.112 0.050 -0.069 0.014 0.075 -0.089 0.009 0.127 -0.176 -0.046 0.052 -0.012 0.064 0.029 0.032 -0.074 -0.042 0.054 -0.064\n0.048 -0.068 -0.033 0.040 0.097 -0.008 -0.059 -0.010 -0.030 -0.072 -0.062 0.080 0.110 0.079 0.053 0.004 -0.131 0.067 0.053 0.091 0.016 -0.016 -0.152 0.021 -0.048 0.005 -0.096 0.032 -0.025 0.023 -0.052 0.060\n0.009 0.018 0.138 0.025 -0.039 -0.107 -0.130 -0.087 -0.016 0.017 0.036 0.133 -0.104 -0.118 0.040 -0.016 0.080 -0.115 0.020 -0.035 0.000 0.053 -0.035 -0.004 0.064 0.031 -0.058 -0.076 -0.021 -0.046 0.100 0.104\n0.087 -0.050 -0.018 0.057 0.002 -0.040 0.054 -0.041 0.041 -0.009 -0.128 -0.039 0.002 0.079 0.003 0.123 0.032 0.108 -0.072 0.129 0.056 0.093 0.039 0.076 0.035 0.119 -0.038 0.062 -0.015 -0.055 0.046 0.085\n0.017 -0.112 -0.116 -0.055 0.175 0.047 -0.054 0.103 -0.077 -0.022 0.044 -0.040 -0.026 0.017 0.081 0.023 -0.116 0.004 -0.006 -0.099 0.056 -0.016 -0.038 0.026 0.143 0.108 0.055 -0.006 0.021 -0.021 -0.084 0.059\n0.012 -0.001 0.051 -0.084 -0.009 -0.079 -0.103 0.100 -0.035 0.027 -0.010 0.092 -0.048 0.001 0.003 0.007 0.073 0.045 0.053 -0.117 0.030 0.119 -0.063 0.065 -0.016 0.052 -0.039 -0.032 0.048 0.055 0.022 -0.077\n0.010 -0.018 -0.101 0.025 0.036 0.055 -0.008 -0.009 0.139 0.034 -0.098 0.064 -0.064 0.089 -0.061 0.014 -0.003 0.112 0.037 0.003 -0.042 0.006 -0.055 0.036 -0.060 -0.028 0.085 0.008 0.052 -0.094 -0.043 -0.035\n-0.120 -0.149 0.133 -0.113 0.037 0.000 -0.207 -0.084 -0.004 -0.025 0.008 -0.027 0.002 -0.049 -0.028 -0.054 0.049 0.035 -0.085 0.069 0.023 -0.024 -0.044 -0.009 -0.068 0.040 0.003 -0.032 0.068 -0.057 0.088 0.010\n-0.008 0.073 0.089 -0.031 -0.077 -0.107 -0.050 -0.009 -0.041 -0.028 0.072 0.093 0.071 0.007 0.056 0.047 0.096 0.020 0.004 0.140 0.060 -0.041 -0.055 -0.004 -0.062 0.001 -0.016 -0.034 0.063 -0.053 0.091 0.059\n0.035 -0.022 -0.019 0.079 -0.025 -0.007 -0.121 0.010 0.107 -0.023 -0.053 -0.004 0.052 0.025 -0.019 0.043 -0.093 -0.059 -0.014 0.015 0.030 0.060 0.024 0.001 -0.017 0.019 0.120 0.014 0.051 0.060 -0.042 0.010\n-0.058 0.023 0.002 -0.032 -0.082 0.037 0.006 -0.050 0.058 -0.083 0.063 -0.013 0.038 0.036 -0.102 0.035 -0.034 0.083 0.064 -0.055 -0.063 -0.006 0.050 0.058 0.058 -0.003 0.015 -0.063 0.019 0.010 0.037 -0.052\n0.052 -0.010 -0.012 0.016 -0.025 0.054 -0.052 0.017 0.066 0.001 -0.051 0.096 -0.126 0.096 -0.048 -0.064 -0.102 0.011 0.070 -0.021 0.051 -0.077 0.056 0.029 0.010 0.106 -0.007 -0.182 -0.131 -0.040 0.082 -0.008\n-0.052 0.022 0.151 -0.019 0.044 0.019 -0.164 -0.001 0.134 -0.073 0.036 -0.120 0.034 0.021 0.079 0.073 0.186 0.043 -0.042 0.060 -0.151 -0.135 -0.038 -0.050 0.031 0.028 0.018 0.042 -0.104 -0.036 -0.159 0.027\n0.038 0.031 0.055 -0.016 -0.073 -0.082 -0.076 0.062 0.141 -0.015 0.003 -0.003 -0.006 0.059 -0.026 0.137 -0.015 -0.060 -0.067 0.122 -0.084 0.015 0.081 0.101 0.021 0.177 -0.013 -0.009 -0.072 -0.029 0.019 -0.012\n-0.040 0.037 -0.038 0.071 0.017 -0.084 0.029 -0.040 -0.052 -0.034 -0.023 -0.060 -0.113 0.132 0.029 0.011 -0.014 -0.008 0.010 0.007 0.078 -0.125 0.053 -0.109 -0.072 0.129 -0.024 -0.087 -0.113 0.008 -0.071 0.066\n-0.075 0.170 -0.003 -0.084 -0.019 -0.105 -0.035 0.049 -0.048 0.138 -0.014 0.010 0.095 0.004 -0.036 0.007 0.008 0.084 0.010 0.160 0.001 0.011 -0.016 0.007 0.009 0.013 0.019 0.014 0.005 0.025 -0.033 0.036\n-0.105 0.033 0.146 -0.186 -0.028 -0.034 0.034 0.041 -0.122 0.031 -0.111 -0.087 -0.014 0.106 -0.027 -0.010 -0.004 0.037 -0.077 -0.079 0.068 -0.045 0.070 0.091 0.017 0.042 -0.010 0.029 0.019 0.083 0.044 0.022\n0.106 -0.023 0.045 -0.117 -0.076 -0.154 -0.177 -0.081 -0.016 -0.044 -0.072 0.097 -0.014 -0.006 0.106 0.079 0.068 -0.183 -0.013 0.033 0.025 -0.068 -0.088 -0.104 -0.038 0.005 -0.054 -0.029 0.043 0.063 -0.001 -0.047\n-0.054 -0.010 -0.013 0.015 -0.015 0.041 0.004 -0.050 -0.081 0.026 -0.047 0.013 -0.017 -0.080 -0.056 0.012 0.053 -0.073 -0.032 -0.010 -0.017 0.059 -0.014 -0.007 -0.024 -0.005 -0.019 -0.037 -0.071 -0.053 -0.132 0.011\n0.011 -0.107 0.005 0.048 -0.021 -0.005 0.024 0.052 -0.102 -0.127 -0.060 -0.009 -0.032 0.010 -0.044 0.060 0.009 -0.018 0.023 -0.093 -0.019 -0.012 -0.020 -0.025 0.091 0.124 -0.083 -0.131 0.043 -0.035 0.144 -0.039\n-0.128 -0.002 -0.148 0.098 0.079 -0.034 0.056 0.113 -0.066 -0.078 -0.051 -0.053 -0.021 -0.043 0.057 0.054 -0.030 -0.067 -0.054 -0.064 -0.028 0.029 -0.081 -0.014 0.024 0.146 0.048 -0.026 0.097 -0.194 0.102 0.004\n0.002 -0.003 -0.032 -0.090 0.030 -0.025 0.049 0.027 -0.009 -0.062 -0.035 -0.046 -0.011 -0.012 -0.089 -0.062 0.008 -0.001 -0.032 -0.032 -0.103 -0.089 -0.017 0.095 -0.029 -0.001 -0.025 0.070 0.037 -0.072 0.117 -0.041\n-0.051 0.068 0.136 -0.075 -0.069 -0.016 -0.178 0.072 0.126 0.027 -0.007 0.016 0.049 -0.036 0.083 -0.054 0.044 -0.025 -0.011 0.007 -0.086 -0.094 0.018 0.101 0.125 0.038 -0.106 -0.066 0.028 -0.001 -0.021 -0.077\n-0.023 0.040 -0.058 0.168 -0.058 -0.082 -0.064 0.016 0.078 0.020 -0.044 0.073 0.012 -0.068 0.112 0.090 -0.140 0.081 0.015 -0.026 0.024 0.071 0.106 -0.041 0.006 -0.003 -0.075 0.089 -0.092 -0.151 0.023 -0.055\n-0.090 0.049 -0.016 0.088 -0.162 0.121 0.048 -0.003 0.067 0.053 0.031 -0.039 -0.043 0.040 0.110 0.050 -0.075 0.056 -0.080 -0.110 -0.051 -0.020 -0.009 0.099 -0.016 -0.045 0.091 -0.067 0.029 0.011 0.045 0.026\n0.032 -0.031 -0.060 -0.012 -0.037 0.183 0.030 0.044 0.030 -0.083 0.127 0.012 0.000 0.059 -0.026 -0.029 0.113 -0.018 0.051 -0.019 0.097 0.047 0.016 -0.068 0.069 0.012 0.019 -0.058 0.030 -0.018 0.083 -0.002\n0.014 -0.163 0.027 -0.016 0.094 -0.067 0.004 0.070 0.033 -0.102 -0.092 -0.038 -0.091 -0.020 -0.147 -0.015 0.007 -0.014 0.033 -0.037 0.171 0.040 0.048 0.036 0.047 0.002 -0.016 0.019 -0.075 -0.026 -0.008 0.003\n0.067 0.002 0.102 -0.126 -0.025 0.002 -0.121 -0.098 0.110 -0.033 -0.036 0.114 -0.041 -0.056 -0.090 0.028 0.027 0.046 -0.049 0.000 -0.035 0.017 -0.099 -0.039 0.041 0.153 -0.025 -0.009 0.092 0.084 0.012 0.009\n-0.002 0.044 0.051 0.056 0.040 0.066 0.028 -0.016 0.009 0.028 -0.082 0.014 -0.017 0.107 -0.067 0.020 -0.119 0.029 -0.002 -0.053 0.019 -0.106 0.070 -0.047 -0.023 -0.059 -0.033 -0.025 0.072 -0.027 0.148 0.033\n-0.030 -0.109 0.008 0.139 0.011 -0.042 0.007 -0.089 -0.148 0.023 0.061 0.073 -0.090 -0.048 0.064 0.002 -0.106 0.023 -0.017 -0.011 0.074 -0.012 0.022 0.053 0.014 -0.001 0.071 0.013 -0.032 -0.020 -0.110 -0.028\n-0.070 0.123 -0.055 -0.055 -0.007 -0.010 -0.102 -0.006 0.061 0.033 -0.005 -0.124 0.041 -0.111 -0.074 0.041 0.156 0.102 -0.059 -0.090 0.024 0.043 0.068 -0.137 0.054 0.048 -0.023 0.057 -0.030 0.065 -0.022 0.022\n0.012 0.014 -0.086 0.040 0.092 -0.082 -0.034 0.089 -0.009 -0.011 0.029 0.128 0.057 -0.033 -0.017 0.014 -0.015 0.035 -0.054 0.026 -0.002 -0.031 0.071 0.088 0.094 -0.038 -0.004 0.014 -0.009 0.014 -0.053 -0.067\n-0.020 0.014 0.035 0.042 -0.090 -0.043 -0.041 -0.060 0.103 -0.039 -0.028 0.061 -0.057 -0.166 -0.022 -0.007 -0.013 -0.115 -0.067 -0.037 0.005 -0.031 0.006 -0.023 -0.007 0.064 0.000 -0.103 -0.007 0.046 -0.035 0.035\n0.036 -0.002 0.129 0.042 -0.050 0.026 0.077 0.034 0.179 -0.068 0.057 0.033 0.025 -0.017 0.038 -0.007 0.005 0.065 0.032 -0.071 0.024 -0.054 -0.088 0.066 -0.001 -0.014 0.031 -0.097 0.058 -0.007 -0.058 -0.045\n0.005 0.036 -0.007 -0.021 0.007 0.012 0.001 -0.066 -0.068 -0.055 0.013 0.036 -0.021 0.130 0.035 0.111 -0.044 -0.048 -0.067 -0.133 0.035 0.074 0.102 0.068 0.073 0.016 -0.046 -0.012 -0.036 0.068 -0.016 -0.139\n0.057 -0.091 0.010 -0.025 0.053 0.024 0.004 -0.026 -0.001 0.067 -0.006 0.096 0.003 -0.005 0.046 0.080 -0.127 -0.041 0.055 -0.005 -0.001 0.051 -0.105 -0.031 0.080 -0.101 -0.042 0.051 0.003 0.032 -0.020 -0.076\n-0.015 -0.012 -0.040 0.113 0.082 0.095 0.020 0.075 -0.017 0.031 -0.064 -0.042 -0.078 -0.068 -0.105 0.096 -0.048 -0.061 0.006 0.057 0.142 0.081 0.024 -0.071 -0.086 -0.085 0.026 -0.017 -0.022 0.026 0.081 0.039\n0.055 0.086 0.056 -0.147 -0.059 -0.073 -0.068 -0.006 0.098 -0.068 0.070 0.055 -0.050 0.004 -0.081 -0.033 -0.008 -0.088 -0.064 -0.028 -0.053 -0.016 -0.045 0.131 0.025 0.051 -0.045 0.042 0.036 -0.029 -0.015 0.057\n-0.029 -0.060 -0.013 -0.012 0.009 0.020 0.009 -0.001 -0.012 -0.027 0.130 0.022 0.067 -0.045 0.016 -0.096 0.023 -0.103 -0.029 -0.035 -0.058 -0.055 -0.087 0.015 0.045 -0.043 0.060 0.147 -0.063 -0.059 -0.033 0.001\n0.002 0.008 0.003 -0.052 0.069 -0.035 -0.050 0.046 0.036 -0.031 0.006 -0.011 -0.066 -0.030 -0.004 -0.004 0.029 0.012 -0.028 -0.058 -0.050 -0.046 -0.126 -0.045 0.036 0.235 -0.139 -0.086 0.058 0.035 -0.122 0.014\n0.008 -0.053 -0.052 -0.091 0.027 0.037 0.105 -0.029 0.084 0.087 -0.033 -0.043 -0.009 -0.045 -0.023 -0.118 0.051 0.066 0.007 -0.068 -0.095 -0.107 -0.038 0.059 -0.051 -0.116 0.074 -0.069 0.073 -0.057 0.032 0.073\n0.006 0.004 0.024 -0.105 -0.062 0.024 0.008 -0.091 -0.107 0.029 0.034 0.045 0.041 0.020 0.081 -0.007 -0.041 -0.015 0.109 -0.111 0.111 0.002 0.094 0.028 0.061 0.028 -0.050 0.057 0.039 -0.137 0.055 -0.034\n0.042 -0.022 0.039 -0.003 -0.082 0.043 -0.121 0.025 0.121 -0.047 -0.058 0.096 0.033 0.009 -0.083 0.029 0.053 -0.110 -0.018 0.139 0.084 0.002 -0.118 0.049 -0.019 0.032 -0.130 -0.081 -0.047 -0.080 -0.092 -0.017\n0.090 -0.029 -0.024 0.043 0.018 0.028 -0.086 -0.013 0.008 0.066 -0.010 -0.021 -0.014 -0.026 0.047 -0.122 -0.060 0.033 -0.136 0.082 -0.020 0.009 0.063 0.043 -0.045 0.071 -0.096 -0.060 -0.006 0.123 -0.043 -0.119\n1.706 -3.242 0.524 -1.906 1.067 -0.450 -1.610 -1.592 1.564 -1.298 -1.237 0.890 3.377 1.205 2.603 0.583 2.470 -0.700 -0.269 -0.677 2.165 0.948 -2.208 -2.887 1.818 0.282 -1.375 -1.195 -3.734 4.081 0.128 1.642\n-1.161 -0.011 -0.192 -0.174 0.200 0.320 0.198 -0.699 0.047 -1.619 0.066 2.453 1.978 -0.069 0.560 -0.073 0.447 -0.240 -0.068 0.694 0.756 0.931 -0.939 -0.621 -0.554 -0.442 -0.227 1.550 -0.231 0.152 -1.373 1.007\n0.202 -0.114 0.166 0.114 0.259 -0.074 -1.490 0.171 -0.165 0.036 -0.013 0.058 -0.051 0.127 0.032 0.165 0.208 -0.050 -0.125 -0.029 0.047 -0.390 0.007 -0.091 0.054 0.006 -0.022 0.020 0.058 -0.126 0.075 -0.142\n0.057 0.106 0.006 0.008 -0.010 0.003 0.077 0.007 -0.023 -0.003 0.084 -0.006 -0.029 0.130 -0.119 -0.047 -0.090 0.031 0.123 -0.112 -0.045 -0.036 -0.023 0.012 -0.034 0.018 0.040 -0.020 0.101 -0.022 -0.065 -0.027\n0.487 -0.215 -0.550 0.253 -0.004 -0.241 -0.739 -0.646 0.176 -1.316 -0.244 -0.529 0.593 -0.225 0.118 -0.180 -0.171 0.159 0.280 -0.535 -0.108 0.115 0.452 -0.424 0.464 -0.106 0.267 0.514 -0.203 0.550 0.372 -0.075\n1.694 3.205 1.177 -3.319 -2.310 0.231 -0.608 -0.294 -0.575 -1.759 -1.820 2.593 -1.676 -0.504 -1.250 -1.108 0.626 -1.044 0.247 0.153 0.340 0.423 2.251 -2.593 -0.456 2.233 -0.553 -0.512 -1.659 0.699 3.550 2.262\n-0.015 0.189 -0.747 -0.486 -0.035 2.493 -0.857 -3.116 -0.919 -1.376 0.383 2.157 2.413 -1.292 0.050 0.401 0.543 -0.551 0.376 0.407 0.378 0.121 -0.169 -0.739 -1.333 0.109 0.298 0.077 -1.312 -0.278 0.721 0.904\n0.352 -0.015 0.397 -0.204 -0.054 0.102 -2.361 0.104 -0.182 -0.050 -0.195 0.024 -0.035 -0.090 -0.008 0.247 0.315 -0.012 0.282 -0.018 0.072 0.193 0.023 -0.004 0.012 0.185 -0.055 -0.159 -0.098 -0.129 0.431 0.097\n0.049 0.081 0.048 0.039 0.080 0.096 0.014 -0.043 -0.007 0.049 0.041 -0.020 -0.054 0.073 -0.064 -0.053 -0.004 -0.050 -0.012 -0.008 0.093 -0.025 0.074 -0.043 -0.013 -0.041 0.049 0.033 0.083 -0.033 -0.005 0.022\n0.209 -0.094 -0.480 0.160 0.012 -0.015 -0.129 -0.460 -0.128 -0.730 -0.057 0.124 0.533 0.531 0.323 0.073 0.145 0.048 -0.211 -0.863 -0.008 0.520 0.426 -0.662 -0.046 -0.125 -0.047 0.220 -0.379 0.385 0.367 0.068\n4.742 0.707 1.214 -3.778 -1.746 1.483 -1.815 -2.222 -1.806 -1.226 -2.518 3.469 2.354 -0.688 -1.427 -0.055 -0.987 -0.338 3.821 -2.302 -1.446 1.746 1.435 -2.231 -1.001 3.438 -2.319 -0.559 0.366 -0.427 3.890 0.974\n-0.189 -0.119 -0.574 -0.233 0.437 -0.160 0.451 -0.345 -1.554 -1.150 -0.079 -0.845 1.629 -0.349 0.166 2.339 -0.325 -1.063 -0.192 1.072 0.836 -0.033 -0.609 -0.761 0.047 0.172 0.427 -0.570 -0.780 0.056 -0.408 -0.369\n-0.372 -0.014 -0.100 0.019 0.083 -0.002 -1.905 0.414 0.240 0.042 0.065 -0.183 -0.043 -0.010 0.143 -0.026 -0.079 0.079 0.012 0.019 -0.027 -0.096 -0.075 0.110 0.032 -0.007 -0.071 0.035 0.080 -0.103 -0.071 -0.306\n0.052 -0.067 -0.066 -0.008 0.047 0.032 0.120 -0.032 -0.109 0.043 -0.035 -0.019 -0.007 0.094 -0.005 -0.001 -0.059 0.088 -0.036 -0.012 0.038 0.012 -0.040 0.042 -0.054 -0.009 -0.064 -0.103 0.045 0.052 0.005 -0.042\n0.519 0.056 -0.478 0.165 0.036 0.631 1.043 -0.148 0.029 -1.343 -0.125 -0.041 0.330 0.036 0.358 -0.218 -0.264 0.072 0.116 -0.316 0.006 0.210 0.254 -0.427 0.003 -0.142 -0.100 0.215 -0.107 0.222 0.110 0.371\n1.221 -2.067 -1.201 1.786 -3.119 1.956 2.272 1.683 -3.739 -2.056 -3.337 2.095 -0.911 -1.419 1.715 -1.131 -1.479 1.755 0.651 -0.342 1.574 -1.270 -1.089 -1.475 -0.392 3.088 -1.013 -0.880 0.886 -0.973 1.171 1.450\n-0.093 -0.042 -0.925 0.327 0.678 0.018 -0.007 -1.030 -0.717 -1.565 0.029 -0.644 3.448 -0.885 -0.445 1.047 0.239 -1.077 0.072 -0.156 0.007 -1.020 -0.667 -1.436 -0.684 0.576 -0.130 -0.711 -1.397 -0.494 0.520 0.837\n-0.105 0.040 -0.863 -0.028 0.223 -0.054 -0.883 -0.389 -0.106 0.070 0.244 -0.139 -0.306 0.044 0.010 0.101 -0.126 0.118 -0.362 -0.051 0.019 -0.232 0.130 -0.140 -0.066 -0.174 -0.036 0.032 -0.141 -0.047 -0.224 -0.163\n-0.007 -0.145 -0.019 -0.024 0.137 -0.032 -0.119 0.042 -0.134 0.047 -0.047 -0.058 -0.056 0.003 0.065 -0.114 0.027 -0.005 -0.026 0.022 0.036 0.122 -0.085 0.101 -0.016 0.009 0.173 0.116 -0.050 0.144 -0.001 -0.030\n0.013 0.207 -0.276 0.339 -0.153 0.609 0.877 -0.241 0.026 -0.938 -0.150 -0.093 0.359 -0.362 0.141 -0.017 0.073 0.115 0.111 -0.111 0.158 0.065 0.351 -0.387 -0.168 -0.057 -0.355 0.211 0.167 -0.032 -0.004 0.197\n-0.940 0.177 -3.515 -0.771 -2.097 3.194 0.916 -1.647 -0.872 -0.609 0.639 3.230 -1.986 2.170 4.961 1.884 0.339 -2.217 -0.613 1.426 0.168 -2.251 -1.084 -3.355 0.102 1.894 -1.708 -0.149 -4.237 0.807 -0.754 -1.432\n-0.328 -0.275 0.147 -0.914 0.345 -0.453 0.960 -0.279 -1.649 -2.968 -0.020 -0.973 2.602 0.386 -0.100 1.997 -1.011 -1.346 -0.563 -1.251 -0.026 -0.072 -0.781 -0.673 0.897 -0.322 0.927 -0.520 -0.827 0.400 -0.661 0.110\n0.023 -0.149 0.156 -0.024 -0.099 -0.130 -0.004 -0.055 -0.052 0.160 -0.182 0.007 0.144 -0.015 -0.060 0.085 0.069 -0.004 -0.032 -0.022 0.018 0.017 0.066 -0.078 0.019 -0.143 0.045 -0.085 -0.096 0.002 0.161 0.132\n0.055 -0.116 -0.021 -0.046 -0.045 -0.030 -0.033 -0.027 0.026 0.044 0.012 0.031 -0.055 -0.013 0.015 0.095 0.024 -0.059 0.048 -0.143 0.021 -0.065 -0.090 0.011 -0.102 0.042 0.033 0.056 -0.023 0.026 0.114 -0.055\n0.353 -0.238 -0.691 0.680 -0.010 0.506 0.751 -0.603 0.108 -0.870 -0.020 0.116 0.498 0.001 0.172 -0.044 -0.253 0.214 0.181 -0.225 0.315 -0.011 0.251 -0.310 -0.173 -0.160 -0.346 -0.032 -0.345 -0.152 0.086 -0.092\n0.486 -1.265 0.335 -1.375 -0.774 -0.169 -0.592 1.077 -2.129 -0.616 2.160 -0.521 -1.380 -1.706 0.559 0.855 -0.109 -1.303 0.251 0.379 2.793 -1.578 0.000 -1.174 -1.710 -1.685 -0.124 0.734 1.016 0.536 -0.139 1.096\n-0.156 0.198 0.976 -1.028 0.446 0.444 1.234 -0.518 -0.816 -3.386 0.019 -0.194 0.036 -1.301 -0.316 0.588 1.372 -0.677 0.250 0.067 0.069 -0.909 0.389 0.380 -0.642 -0.281 -0.720 0.513 -0.054 1.224 0.715 0.409\n0.038 0.069 0.389 -0.089 -0.165 -0.217 -0.438 0.137 -0.017 0.431 0.173 0.166 0.029 -0.062 -0.059 0.194 -0.137 -0.200 0.166 0.244 0.081 -0.234 -0.148 -0.106 0.014 -0.102 0.082 -0.087 -0.096 -0.140 0.246 -0.034\n-0.014 -0.052 -0.044 0.043 0.016 0.087 -0.014 0.013 0.038 0.001 -0.119 0.031 -0.008 0.015 0.024 0.020 -0.011 0.084 -0.009 0.048 -0.026 -0.004 0.093 -0.094 -0.074 0.101 -0.020 0.024 0.024 -0.021 0.038 0.011\n0.095 0.145 -0.352 0.382 -0.367 0.406 0.579 -0.089 -0.134 -2.070 0.063 0.100 0.806 -0.147 -0.009 0.321 -0.356 -0.104 -0.075 -0.114 0.208 0.113 -0.226 -0.458 0.067 0.153 -0.191 0.048 -0.157 0.006 0.050 -0.008\n0.390 0.155 1.138 1.073 -2.349 -0.559 0.477 -0.505 0.231 -1.528 -0.441 1.733 3.065 -1.057 -0.189 3.401 0.890 -2.377 0.855 0.465 0.027 -0.668 -2.754 -2.357 1.333 -0.723 -0.086 -0.938 -0.064 -0.014 1.719 0.246\n0.112 0.548 0.743 1.005 0.543 -0.144 1.502 -0.279 -1.158 -3.354 0.311 0.198 -0.599 0.330 -0.074 0.577 1.413 -0.222 0.720 -0.415 -0.495 0.083 0.172 -0.143 0.618 -0.243 -0.696 1.476 -0.621 0.215 0.319 -0.334\n-0.035 -0.192 0.602 -0.001 0.021 0.022 -0.108 0.145 0.028 0.552 -0.137 -0.038 -0.169 0.006 0.047 0.002 -0.123 0.059 0.127 0.055 0.108 -0.059 -0.053 -0.062 0.032 0.012 0.063 -0.016 -0.071 0.109 -0.069 -0.134\n0.027 -0.127 -0.040 0.112 -0.042 -0.076 -0.107 -0.127 0.079 0.013 -0.048 -0.051 0.071 0.020 -0.035 0.020 -0.039 0.021 0.071 0.096 0.037 0.051 -0.032 -0.034 -0.051 -0.048 0.022 0.146 0.042 0.031 -0.090 -0.020\n0.433 0.129 -0.187 0.093 -0.282 0.689 0.707 -0.358 0.190 -2.004 0.179 -0.153 0.185 -0.254 0.246 -0.001 0.011 0.187 0.079 0.057 0.687 -0.221 0.147 -0.060 0.221 -0.017 -0.405 -0.237 -0.187 0.055 0.101 -0.279\n1.314 1.927 0.311 -0.501 -0.782 -2.135 -0.987 1.559 -0.514 -1.408 -0.123 -0.084 -0.127 -0.305 -1.225 0.029 -1.099 0.119 3.077 0.740 4.069 -1.007 -1.081 1.115 -1.068 0.043 -0.839 0.197 0.238 0.290 0.461 -1.213\n0.199 0.208 0.338 -0.590 0.543 0.265 1.047 -0.645 -0.041 -2.016 0.219 1.321 1.220 1.388 0.086 0.201 0.768 -0.555 -0.325 -0.622 -0.064 -1.101 0.474 0.117 0.666 -0.760 -0.168 0.323 -0.294 -0.662 0.908 -0.156\n-0.381 -0.164 0.404 0.025 0.236 0.163 0.042 -0.080 0.038 0.748 -0.069 -0.013 -0.051 0.129 0.018 -0.379 -0.142 0.111 -0.024 0.020 -0.211 0.055 0.094 0.213 0.066 0.198 0.165 0.170 -0.052 0.017 -0.004 -0.086\n-0.122 -0.072 -0.004 0.093 -0.032 0.062 0.136 -0.093 0.019 -0.088 0.025 -0.028 0.097 -0.014 0.120 -0.016 -0.060 0.001 -0.033 -0.007 0.126 -0.058 -0.075 0.068 -0.110 -0.076 0.029 0.011 -0.054 0.046 0.046 -0.063\n-0.155 0.549 -0.262 0.837 -0.344 0.243 0.992 -0.185 -0.483 -2.849 -0.107 -0.036 0.318 -0.017 0.549 0.026 -0.159 -0.153 0.147 -0.596 0.339 -0.010 0.074 -0.379 0.138 0.007 0.633 -0.215 -0.265 -0.008 0.105 0.155\n0.056 0.091 0.034 -0.103 -0.048 0.021 -0.067 -0.031 0.081 0.034 -0.042 -0.052 -0.105 -0.063 0.074 0.031 -0.034 -0.017 -0.042 0.004 -0.104 0.025 -0.029 0.052 -0.004 0.151 0.046 0.020 0.046 -0.019 0.036 0.096\n-0.143 -0.033 0.076 -0.048 0.071 0.039 0.096 0.039 -0.032 -0.016 -0.018 0.085 0.130 -0.004 0.032 0.009 -0.040 -0.044 -0.041 -0.050 0.039 0.024 0.036 -0.042 -0.075 -0.023 0.009 -0.092 0.037 0.035 0.014 -0.075\n0.025 0.025 -0.029 0.124 0.015 -0.090 0.032 0.036 -0.059 -0.034 0.091 -0.035 0.036 -0.023 0.039 -0.066 0.046 0.044 -0.034 0.014 0.014 -0.026 0.046 0.104 -0.113 -0.083 -0.023 -0.095 -0.062 -0.089 -0.014 -0.017\n-0.120 -0.058 -0.027 -0.028 -0.049 0.006 -0.246 -0.105 0.005 -0.028 -0.021 0.090 -0.084 0.057 -0.017 0.015 0.101 -0.016 -0.057 -0.091 0.145 0.044 -0.091 0.010 0.074 0.134 0.065 -0.050 0.088 0.034 -0.115 0.054\n0.051 -0.029 -0.017 0.080 -0.057 0.017 0.084 -0.019 0.159 -0.143 -0.013 -0.016 -0.066 -0.098 -0.025 0.064 -0.029 0.005 0.002 -0.109 -0.054 -0.078 0.041 -0.006 0.072 -0.091 -0.015 0.012 -0.002 0.029 -0.049 -0.052\n0.057 0.127 -0.050 -0.035 0.008 0.003 0.072 0.016 0.027 0.052 0.058 -0.046 -0.054 0.013 0.013 -0.013 -0.048 0.056 0.043 -0.032 0.013 -0.074 -0.031 0.034 0.007 -0.063 -0.033 0.083 0.089 -0.047 0.024 0.069\n-0.095 0.078 -0.053 0.181 -0.031 -0.026 0.054 -0.061 -0.060 0.000 0.180 0.003 -0.066 -0.056 -0.041 0.102 -0.020 0.091 -0.049 0.031 0.008 0.070 0.103 0.029 -0.107 0.097 0.025 0.004 -0.033 0.069 0.067 -0.053\n0.028 0.039 0.033 0.095 0.032 0.041 0.019 0.038 -0.130 -0.001 -0.009 0.025 -0.030 0.108 0.012 0.050 -0.085 -0.052 0.053 0.029 0.002 0.039 -0.022 0.148 -0.011 0.057 0.087 0.066 -0.049 0.009 0.026 0.083\n-0.010 0.091 0.126 -0.013 -0.018 0.009 -0.094 -0.007 0.046 -0.119 0.023 0.036 -0.104 0.046 0.094 0.008 -0.021 -0.046 0.029 -0.068 0.014 0.001 0.044 0.036 0.002 0.037 0.074 0.005 0.036 0.030 -0.054 0.071\n0.036 -0.012 0.049 0.045 0.019 -0.005 0.079 0.087 0.090 0.012 0.052 -0.002 -0.062 -0.057 0.159 0.060 0.115 0.066 -0.075 0.082 -0.054 0.036 0.056 0.074 -0.010 0.012 0.005 0.039 0.026 -0.039 -0.047 0.051\n-0.188 -2.628 0.822 0.656 2.323 0.495 -1.202 1.587 1.326 -0.303 -0.739 0.370 1.078 1.717 2.774 2.523 -0.478 0.793 0.131 -1.014 -0.635 0.842 0.556 -1.459 0.869 -1.946 -2.345 -0.824 -0.163 -0.369 -3.891 1.412\n-0.850 0.071 0.103 0.897 0.690 -0.153 0.985 -0.469 0.432 -1.863 0.749 -0.587 -0.284 -2.178 -0.283 -0.206 0.124 0.049 0.372 -0.379 0.920 1.459 0.477 -0.891 -0.294 -1.184 0.738 0.338 -0.356 0.162 -0.027 -2.655\n0.017 0.117 0.027 -0.058 -0.077 0.031 -0.628 -0.001 -0.037 -0.097 -0.013 -0.008 -0.032 -0.093 -0.102 0.018 0.171 -0.010 0.226 0.008 -0.019 -0.009 -0.006 0.003 -0.069 0.054 -0.075 -0.034 0.028 0.078 -0.074 -0.084\n-0.018 0.066 -0.080 0.002 0.048 -0.041 -0.017 -0.033 -0.028 -0.045 -0.034 0.077 -0.021 0.009 0.076 0.037 0.001 -0.020 -0.032 0.065 -0.006 -0.058 -0.054 0.022 -0.018 -0.052 -0.068 -0.061 0.031 0.064 -0.068 -0.029\n0.374 0.064 -0.185 -0.256 0.286 -0.260 -1.080 -0.229 0.046 -0.580 0.202 -0.138 0.131 0.602 0.164 0.099 0.313 -0.127 -0.090 -0.799 -0.128 0.386 0.369 -0.420 0.381 -0.219 -0.148 0.604 0.290 0.866 -0.080 0.113\n-0.042 0.119 0.015 -0.058 -0.123 -0.054 0.060 -0.022 -0.120 -0.104 -0.008 0.011 -0.042 -0.057 -0.070 -0.083 0.026 -0.058 -0.030 -0.066 0.055 -0.016 0.073 -0.024 -0.099 0.016 0.047 0.088 0.124 0.034 -0.132 0.126\n0.019 -0.121 0.139 0.052 -0.075 0.046 0.006 0.026 -0.024 -0.147 0.076 -0.128 0.011 0.035 -0.061 0.023 -0.062 -0.028 0.077 0.056 -0.031 -0.082 0.076 -0.050 0.001 0.019 -0.002 -0.010 -0.035 0.004 -0.008 0.062\n0.107 -0.041 -0.063 -0.045 -0.030 0.077 0.006 0.092 0.027 -0.036 -0.089 0.025 -0.185 -0.003 0.035 0.093 0.067 0.077 0.068 -0.028 -0.103 0.078 -0.039 0.069 0.056 -0.004 0.000 0.098 -0.059 0.042 -0.062 0.075\n-0.038 0.050 0.064 -0.131 -0.001 -0.001 -0.079 0.040 0.148 -0.160 0.003 -0.027 -0.066 -0.112 -0.009 -0.031 0.029 0.087 -0.035 -0.042 -0.021 0.012 -0.066 0.004 0.042 -0.001 0.097 -0.037 -0.079 -0.146 -0.047 -0.005\n-0.062 -0.063 0.031 0.083 -0.003 -0.129 -0.034 -0.115 0.094 0.121 -0.003 0.098 -0.015 0.022 0.005 0.063 0.016 -0.074 0.045 0.034 -0.032 -0.055 -0.085 -0.048 -0.025 0.055 0.114 -0.016 -0.010 0.049 -0.012 0.036\n0.014 -0.126 -0.042 0.040 -0.084 0.021 -0.073 0.005 -0.036 0.007 -0.059 -0.008 0.058 0.020 0.006 -0.109 -0.102 0.059 -0.025 0.078 -0.027 0.034 -0.058 -0.043 -0.021 0.042 -0.114 0.105 -0.140 -0.189 -0.041 0.071\n0.103 -0.028 0.000 0.006 -0.011 0.015 0.053 -0.074 0.036 -0.073 0.078 0.042 0.052 -0.061 0.101 -0.072 0.015 0.110 0.043 0.022 -0.171 0.019 0.021 -0.038 -0.023 -0.070 -0.114 0.069 -0.010 -0.031 0.061 0.022\n0.016 0.008 -0.037 0.027 0.047 -0.032 0.020 -0.002 0.054 0.064 -0.060 -0.070 0.020 0.100 0.023 -0.002 0.015 -0.140 -0.004 0.081 -0.136 -0.050 -0.053 0.051 -0.080 -0.004 0.011 0.025 -0.030 -0.060 -0.046 -0.030\n0.015 0.058 0.105 -0.148 0.066 -0.032 -0.075 -0.036 0.039 -0.069 0.018 0.039 0.002 -0.024 0.057 0.101 0.108 -0.067 -0.043 0.067 0.017 -0.005 0.051 -0.111 0.018 -0.009 -0.084 0.150 0.075 0.020 -0.213 -0.049\n-0.023 -0.102 0.090 -0.029 0.064 -0.053 0.063 0.060 0.013 -0.039 0.031 -0.054 0.100 -0.025 0.011 0.019 0.049 0.060 -0.024 -0.022 0.063 -0.050 0.087 -0.091 -0.103 -0.048 -0.085 -0.020 0.025 0.049 0.024 0.082\n-3.315 -3.218 -1.212 -0.700 -1.804 2.635 2.767 -3.269 -1.899 -1.689 -2.177 1.556 -1.282 0.700 3.690 1.036 0.024 5.140 4.144 0.461 -0.483 -1.276 -1.006 0.827 3.540 1.853 -1.148 -0.708 -0.893 2.458 -1.040 -1.746\n-0.560 -1.328 3.745 -0.638 0.422 0.088 -0.508 -0.450 -0.813 -1.407 -0.741 -0.896 -0.737 0.307 1.393 1.374 -0.883 -2.862 -0.602 -0.860 0.044 -0.103 -0.314 -2.596 0.152 -0.005 0.706 0.626 -1.134 0.668 0.399 -0.408\n-0.023 -0.032 0.145 0.055 0.005 -0.041 -4.876 -0.138 -0.032 0.004 0.142 0.045 0.211 0.029 -0.039 0.133 0.132 0.155 -0.020 0.017 0.124 -0.024 0.003 0.104 0.057 0.007 0.113 -0.121 -0.054 -0.053 0.081 0.171\n-0.062 0.054 -0.089 -0.034 -0.044 0.009 -0.078 -0.041 -0.046 0.029 -0.090 -0.011 0.199 -0.073 -0.048 -0.015 0.019 -0.059 -0.001 -0.093 -0.019 0.094 -0.013 0.001 -0.084 -0.010 0.007 0.001 -0.063 0.047 -0.088 0.027\n0.137 -0.171 -0.115 0.482 -0.135 0.301 0.898 -0.246 -0.101 -0.599 -0.006 -0.184 0.428 0.264 0.320 -0.213 -0.555 0.200 0.173 -0.227 0.166 0.079 0.116 -0.112 0.056 -0.101 -0.120 0.000 -0.203 -0.081 0.114 0.317\n1.414 -2.887 -1.588 -1.260 -3.761 1.726 2.187 -3.865 -0.902 -0.820 -0.027 2.766 4.646 -1.869 2.791 -0.053 3.123 -4.852 5.290 -2.832 0.610 -2.972 0.505 1.446 -5.361 2.667 -0.778 -0.191 -3.376 -1.560 -1.337 -1.461\n-0.461 0.174 2.762 -0.962 1.309 -5.209 0.721 -0.610 -1.178 -1.045 -0.131 -0.510 0.035 -0.743 0.176 0.672 -2.081 -0.507 0.595 -0.094 0.298 -0.501 0.582 -2.039 -0.050 0.607 -0.457 -0.247 -0.886 -0.039 0.623 0.929\n0.250 -0.027 -0.139 -0.080 -0.029 0.074 -0.854 -0.256 -0.330 -0.093 0.053 -0.030 0.077 0.247 0.008 -0.382 -0.096 -0.218 0.020 -0.048 -0.144 0.069 -0.059 0.201 -0.097 -0.163 -0.062 0.147 0.213 0.035 -0.135 0.066\n-0.012 0.038 -0.085 -0.004 0.031 -0.134 0.007 0.049 -0.001 -0.054 -0.001 0.044 0.052 0.006 0.018 0.085 -0.094 0.066 0.011 0.008 -0.090 -0.054 0.001 0.059 0.094 -0.048 0.087 0.093 0.029 -0.009 -0.098 -0.008\n-0.005 0.099 -0.652 0.289 -0.296 0.831 0.704 0.015 0.113 -0.701 -0.158 -0.032 0.274 -0.308 0.142 0.015 -0.134 -0.050 0.077 -0.233 0.024 -0.071 0.059 -0.254 -0.119 0.048 -0.541 0.086 0.014 -0.006 -0.208 0.263\n0.003 0.085 -0.008 0.011 -0.055 -0.069 -0.092 0.030 -0.092 -0.060 0.003 0.071 -0.110 -0.020 0.007 -0.061 0.058 -0.010 0.005 -0.037 -0.005 -0.028 -0.115 0.038 -0.032 0.098 -0.042 -0.037 0.071 0.133 -0.094 0.014\n-0.044 -0.039 0.043 -0.104 0.061 0.000 -0.083 -0.200 -0.050 -0.042 -0.092 -0.014 0.050 0.027 0.056 -0.041 -0.039 -0.043 0.024 0.013 0.011 -0.082 0.028 -0.082 0.000 0.046 -0.013 0.036 0.128 -0.121 -0.020 -0.030\n-0.013 0.061 0.117 0.045 0.014 -0.100 0.081 -0.064 -0.051 0.079 0.008 -0.028 -0.116 0.014 -0.051 -0.025 -0.013 0.129 -0.053 0.013 -0.021 -0.046 -0.110 0.011 -0.148 0.013 -0.131 0.012 -0.073 -0.019 0.017 0.130\n-0.012 -0.029 0.109 -0.087 -0.092 -0.134 -0.148 -0.122 0.047 -0.045 -0.071 0.054 0.088 0.005 0.038 -0.010 0.042 -0.005 -0.075 0.056 -0.062 0.071 -0.013 0.038 0.010 0.085 0.056 0.037 -0.007 0.049 -0.069 0.066\n0.002 -0.003 0.027 0.096 -0.002 0.046 -0.009 0.107 -0.081 -0.001 0.000 -0.019 -0.129 -0.024 -0.039 0.012 0.211 0.022 0.046 0.050 -0.064 0.066 -0.025 0.066 -0.044 0.026 -0.074 -0.026 0.006 0.046 -0.063 -0.005\n-0.089 -0.023 -0.012 -0.065 -0.048 0.004 -0.047 -0.056 0.092 -0.048 -0.043 0.070 -0.090 -0.081 0.011 -0.036 -0.030 0.047 -0.111 0.081 0.088 -0.011 0.025 0.042 -0.053 0.060 0.057 -0.032 -0.128 0.031 0.086 -0.064\n0.027 -0.050 -0.051 0.040 0.009 0.090 -0.021 -0.119 0.045 0.036 -0.005 -0.118 0.051 -0.047 -0.047 -0.029 -0.054 -0.029 -0.034 -0.001 0.064 -0.029 0.047 0.035 -0.084 -0.053 -0.026 -0.090 -0.054 0.015 -0.019 0.008\n-0.057 -0.078 -0.076 -0.034 -0.047 0.000 -0.016 -0.065 0.003 0.042 0.100 0.040 -0.019 0.068 -0.062 -0.052 -0.055 0.075 -0.066 -0.076 0.044 -0.001 -0.053 0.081 0.040 -0.001 0.152 0.046 0.084 0.020 -0.094 0.015\n-0.038 0.022 0.174 -0.140 0.083 0.070 -0.093 -0.033 0.039 -0.107 0.048 0.049 0.016 -0.005 0.017 -0.006 -0.080 -0.052 0.129 -0.036 -0.056 -0.103 0.003 0.036 0.027 0.004 -0.028 -0.028 0.073 0.040 0.005 0.068\n0.014 0.022 0.058 -0.111 0.018 0.122 0.085 0.019 -0.015 -0.065 -0.018 0.062 0.134 -0.079 -0.013 -0.104 0.037 -0.014 0.019 0.032 -0.054 -0.069 0.010 -0.100 -0.033 0.076 0.168 -0.132 0.078 -0.040 -0.027 0.164\n-1.907 -0.100 -0.117 0.530 0.855 -0.973 -0.580 -0.912 0.989 0.101 0.046 1.541 -0.864 2.902 -0.146 -1.706 0.436 -0.452 -0.116 -1.253 -2.027 -0.575 -1.447 2.734 0.923 1.427 0.610 0.466 1.008 1.303 -0.358 -0.359\n0.085 0.105 -0.436 -0.789 0.408 0.205 0.541 -0.142 0.347 -3.343 0.310 1.561 1.283 -0.512 0.599 -0.764 0.631 -0.486 -0.518 -0.490 -0.447 -0.700 -0.363 0.141 0.875 -0.475 -0.442 -0.655 1.265 -0.482 0.918 -0.010\n-0.031 0.112 0.505 0.282 0.052 -0.003 0.009 0.074 0.265 0.653 -0.015 -0.183 -0.029 -0.204 0.062 -0.216 -0.285 0.122 -0.022 -0.030 0.000 0.064 0.286 0.050 -0.084 0.028 0.088 0.021 0.110 0.053 -0.152 0.061\n0.007 -0.028 -0.016 -0.038 -0.016 0.117 -0.026 -0.057 -0.009 -0.011 -0.004 -0.123 0.006 -0.105 -0.059 0.004 -0.041 -0.004 0.038 -0.028 0.120 0.003 -0.082 0.122 -0.045 -0.068 -0.030 -0.071 0.020 0.059 0.024 0.054\n0.573 -0.223 -0.139 -0.361 -0.268 0.660 0.867 -0.111 0.054 -2.307 0.186 0.147 0.502 0.064 0.165 0.228 -0.351 0.249 0.151 0.012 0.633 -0.401 0.162 0.090 0.228 -0.433 -0.380 0.258 -0.359 -0.065 0.359 -0.090\n-0.064 0.093 -0.025 0.113 -0.023 -0.061 -0.009 -0.049 0.008 0.112 -0.035 -0.065 -0.109 -0.024 0.049 -0.022 -0.002 0.004 0.046 0.040 0.023 -0.126 -0.121 -0.105 -0.018 -0.086 -0.139 -0.063 0.033 0.035 0.066 0.105\n0.102 0.034 0.059 0.108 0.095 -0.037 0.032 -0.152 0.061 -0.111 0.058 0.036 -0.027 0.083 0.044 -0.019 -0.018 -0.006 -0.032 0.012 -0.096 -0.073 0.122 0.093 0.054 0.014 -0.025 0.075 0.097 -0.043 -0.016 -0.004\n0.042 -0.005 -0.011 0.074 -0.092 0.117 -0.031 -0.025 -0.074 0.048 -0.056 0.010 0.080 -0.059 0.012 -0.062 -0.040 -0.076 -0.010 0.036 0.002 0.041 -0.011 0.053 0.091 -0.058 0.012 -0.029 0.112 -0.085 -0.017 -0.017\n-0.059 -0.065 0.043 -0.069 0.016 -0.164 -0.013 -0.034 0.066 -0.042 -0.132 -0.019 0.054 0.077 0.064 0.007 0.083 0.144 0.011 0.086 0.018 -0.001 -0.139 -0.010 -0.141 0.069 -0.045 0.058 0.109 -0.041 -0.008 -0.061\n0.069 -0.081 -0.095 0.116 -0.031 -0.127 0.017 0.008 0.065 0.042 0.000 0.068 0.011 -0.067 -0.014 -0.037 0.002 -0.125 -0.023 0.002 -0.052 0.069 0.149 0.109 -0.068 0.036 0.031 0.064 -0.094 0.111 -0.025 -0.059\n0.049 -0.032 -0.014 0.049 0.127 0.025 -0.137 -0.111 0.093 -0.071 -0.065 -0.097 -0.063 0.094 0.079 0.020 -0.085 -0.099 -0.133 -0.047 0.016 -0.056 0.000 0.000 0.008 -0.041 0.002 -0.027 0.007 -0.039 0.010 0.011\n-0.074 -0.055 -0.007 0.073 0.021 -0.011 0.018 0.006 0.022 -0.055 0.102 0.136 -0.048 0.058 -0.035 -0.067 -0.002 -0.079 -0.083 -0.156 0.005 0.055 0.014 -0.023 0.066 0.099 0.057 0.039 -0.025 0.097 -0.004 0.065\n0.022 -0.007 0.092 0.012 0.065 0.055 0.119 0.056 -0.097 0.099 -0.024 -0.061 -0.094 -0.102 0.105 -0.031 -0.010 -0.071 0.078 -0.032 0.048 -0.109 0.024 0.074 0.101 -0.007 0.127 -0.032 0.016 -0.108 0.031 -0.043\n0.105 0.024 -0.012 0.014 -0.035 -0.021 -0.175 0.018 0.113 -0.054 -0.049 0.050 0.047 0.000 -0.040 -0.038 0.024 0.031 0.062 0.050 -0.041 0.153 -0.046 -0.052 0.015 0.137 -0.079 -0.041 -0.076 0.061 -0.011 -0.018\n-0.089 0.051 0.092 -0.004 -0.074 0.026 0.083 0.073 0.130 -0.057 0.037 -0.003 0.038 0.022 -0.003 -0.073 -0.021 -0.080 0.081 -0.020 0.057 -0.029 0.066 -0.069 -0.011 -0.014 0.055 0.078 -0.002 0.071 -0.098 0.041\n-0.716 3.290 2.156 -0.497 0.589 -4.527 -0.590 -2.831 0.307 -2.028 -1.056 0.052 4.108 1.385 4.343 0.672 -0.021 -1.495 3.229 -1.150 0.765 1.008 -2.043 -1.847 -0.790 -0.371 -0.780 1.202 3.312 3.575 0.414 0.835\n-0.219 0.696 -0.651 0.349 0.715 0.156 1.110 -1.236 3.728 0.089 1.335 -0.238 1.108 1.251 0.735 -0.570 -0.733 -1.154 -0.004 -0.051 0.662 0.525 -0.373 -0.467 -0.712 -0.772 -0.086 0.459 0.119 0.564 0.008 -1.346\n-0.177 0.037 0.011 -0.006 -0.162 0.005 -0.146 0.056 -0.020 0.046 -0.033 -0.036 0.045 -0.019 -0.089 0.058 -0.009 0.046 0.052 0.017 -0.040 0.111 -0.040 0.021 -0.047 0.059 0.006 -0.025 -0.046 0.151 0.013 0.034\n-0.067 0.051 0.040 0.006 0.046 0.024 -0.019 -0.022 -0.018 -0.008 0.001 0.076 -0.043 -0.053 -0.072 -0.127 0.022 0.034 -0.084 0.034 -0.013 0.023 0.084 0.113 -0.033 -0.006 0.016 0.020 -0.060 -0.009 0.001 -0.086\n0.765 -0.195 0.084 -0.314 0.067 -0.301 0.713 -0.674 -0.174 -0.579 -0.341 -0.214 0.493 0.193 0.208 -0.240 0.036 0.005 -0.309 -0.465 -0.174 0.190 0.226 -0.502 0.442 -0.114 0.015 0.310 0.564 0.175 -0.054 -0.129\n-0.034 0.068 -0.088 -0.092 0.117 -0.003 -0.079 -0.075 0.014 0.046 -0.063 -0.010 0.032 0.036 0.089 0.026 0.001 0.071 0.097 -0.085 -0.061 -0.030 0.042 0.105 0.061 0.046 -0.074 0.030 -0.004 0.044 -0.027 -0.118\n-0.009 -0.014 0.003 -0.055 -0.045 -0.064 0.010 -0.089 0.012 0.052 0.144 0.076 -0.007 -0.079 0.050 -0.133 0.070 -0.007 0.124 -0.019 -0.075 0.052 -0.025 0.022 0.083 0.006 -0.026 -0.024 0.051 -0.059 0.005 0.035\n0.112 -0.037 -0.037 -0.044 -0.072 0.029 -0.038 0.020 0.060 0.019 -0.069 -0.034 -0.058 -0.015 0.016 -0.086 -0.059 -0.052 0.085 -0.008 -0.010 -0.069 0.126 0.048 0.076 0.036 -0.027 0.060 0.066 -0.011 -0.076 0.047\n-0.023 -0.040 0.082 -0.043 -0.046 -0.165 -0.127 0.063 0.088 0.023 0.032 0.040 0.035 -0.006 0.014 0.094 0.053 -0.072 0.029 0.091 -0.120 0.015 0.016 0.064 -0.036 -0.010 -0.022 -0.047 0.141 -0.072 0.080 -0.011\n0.044 0.053 0.098 0.075 0.049 0.043 -0.085 -0.137 -0.062 -0.037 -0.024 -0.037 0.050 -0.066 0.034 -0.121 0.012 -0.030 0.016 -0.043 0.027 -0.099 0.013 0.143 0.027 0.073 0.000 0.089 -0.053 0.020 0.002 0.015\n2.604 -1.054 0.085 -1.789 -0.020 4.330 1.701 -1.577 0.239 -0.047 -2.011 -1.631 2.967 1.606 1.259 2.812 0.514 2.074 -1.681 -1.118 -0.366 2.210 -1.537 -3.173 0.302 0.052 -1.301 1.656 -1.055 1.791 1.589 0.730\n0.606 0.006 1.128 0.025 -3.873 0.261 -2.350 -1.576 -0.987 -0.661 0.874 -0.653 -0.282 1.229 1.141 0.998 -1.853 0.350 -0.284 -0.960 -1.114 -0.314 0.239 0.125 -0.122 -0.568 -4.266 1.433 -0.005 1.088 1.163 -0.329\n0.091 -0.008 -0.620 -0.060 0.058 0.134 0.729 -0.031 -0.024 0.086 -0.006 -0.060 -0.177 0.002 0.089 0.191 -0.041 0.106 -0.035 -0.026 0.154 0.008 0.062 -0.020 -0.077 0.066 -0.190 0.082 -0.277 -0.169 0.097 0.018\n-0.087 0.088 -0.081 0.007 0.029 0.051 0.013 0.128 0.019 -0.057 0.025 0.006 0.062 0.014 -0.086 0.075 -0.074 0.006 0.023 -0.046 -0.031 -0.049 -0.004 0.028 -0.068 0.020 -0.007 0.054 -0.044 -0.001 0.097 -0.031\n0.386 -0.092 0.014 0.409 -0.289 0.155 0.747 -0.141 -0.151 -0.403 -0.120 -0.026 0.379 0.002 0.166 -0.161 -0.242 0.170 0.117 -0.250 -0.108 -0.315 -0.062 -0.468 -0.187 -0.055 -0.226 0.185 -0.353 0.036 0.093 -0.282\n-2.423 3.658 2.599 -2.774 -3.070 -3.166 3.614 -1.459 -1.123 -1.730 -4.052 0.277 -2.296 2.718 0.249 1.263 0.540 0.011 3.582 -0.702 1.112 -3.640 -1.787 1.110 -0.488 3.317 0.557 -3.069 -1.067 -3.615 -1.113 -1.251\n0.047 -0.893 0.170 -1.206 -1.611 -2.042 -0.404 -0.726 -1.258 -1.547 0.022 -0.621 0.101 -1.246 0.206 -1.387 -1.763 -0.082 0.779 0.599 -0.734 0.064 1.072 1.507 0.136 -0.261 -1.786 0.181 -0.877 -0.130 0.281 0.804\n-0.039 0.092 0.113 0.041 0.134 -0.068 0.047 0.021 0.009 -0.033 0.105 0.009 0.177 -0.017 0.018 -0.029 0.073 0.026 -0.045 -0.017 -0.102 0.013 0.004 -0.168 0.048 0.035 0.045 0.002 -0.011 -0.057 0.030 -0.025\n-0.013 -0.075 0.049 -0.017 -0.137 0.030 0.013 0.079 0.019 0.006 -0.003 -0.047 0.008 0.091 -0.058 -0.059 0.007 0.049 -0.045 0.067 0.046 -0.030 0.026 0.038 0.039 0.012 -0.060 0.028 0.040 -0.049 -0.128 0.095\n0.050 0.012 1.663 0.056 -0.383 0.700 1.038 0.202 -0.240 -0.759 -0.083 -0.099 0.210 -0.134 -0.074 0.043 -0.440 0.070 -0.113 -0.337 -0.129 0.005 -0.150 -0.133 -0.096 0.071 -0.733 0.146 -0.025 0.196 -0.191 0.119\n-5.208 3.306 3.336 -2.640 -3.992 -5.238 1.728 1.410 -1.428 -1.821 -4.021 2.031 -1.114 -0.023 -0.812 -0.486 2.750 -3.803 4.832 -2.247 -0.342 -1.837 -3.922 0.428 1.960 3.860 -2.097 -0.504 -0.972 -1.524 -0.756 1.615\n-0.520 -0.171 4.201 0.377 -0.129 -0.704 -0.060 -0.739 -1.661 -1.651 -0.186 0.084 -1.170 -0.102 1.460 0.599 -1.269 -0.290 -0.372 -1.356 0.354 0.239 -0.272 0.595 0.424 0.142 -1.179 0.594 -0.744 1.311 -0.730 -0.027\n0.123 -0.057 -0.255 -0.020 0.083 -0.003 0.186 -0.053 0.021 0.001 -0.001 0.122 -0.100 0.031 -0.005 0.146 -0.104 -0.046 0.001 0.036 0.025 -0.032 0.063 -0.111 -0.076 -0.026 0.023 0.045 -0.250 0.010 0.042 -0.089\n-0.024 -0.030 -0.031 -0.016 -0.126 -0.181 0.120 -0.026 0.094 -0.033 -0.067 -0.057 0.068 -0.060 0.133 -0.070 0.001 -0.076 -0.004 -0.042 0.009 -0.134 -0.063 0.020 0.029 0.035 0.096 0.023 -0.078 -0.096 -0.057 0.024\n-0.045 -0.142 0.475 0.326 -0.843 0.360 0.935 -0.201 -0.210 -0.103 -0.130 -0.387 0.377 0.228 0.208 -0.212 -0.356 0.244 0.126 -0.082 0.094 -0.069 0.066 -0.131 0.050 -0.138 -0.190 0.150 -0.250 -0.066 0.200 0.129\n-1.609 0.628 1.026 -1.785 -1.055 -0.671 -2.016 -0.981 -2.737 -2.988 2.947 -0.772 3.152 -0.974 1.789 0.414 -0.188 0.058 1.929 1.810 3.581 0.407 0.393 0.601 -1.217 0.879 -1.868 -2.150 -0.604 -0.318 -0.154 1.678\n-3.698 0.292 1.075 -0.369 -2.437 -0.356 0.902 -0.220 -1.080 -0.368 -0.445 0.608 1.373 1.783 0.834 0.630 -1.561 -0.097 0.802 -0.381 0.830 -1.102 0.861 0.176 0.072 2.004 -0.702 0.446 -1.229 0.581 0.559 0.700\n-0.018 -0.060 -0.440 -0.047 0.122 0.153 -0.413 0.034 0.268 -0.292 0.019 -0.019 -0.024 0.088 0.006 -0.337 -0.041 -0.095 0.072 -0.005 -0.014 -0.076 -0.086 0.123 -0.096 -0.039 0.100 0.103 0.329 -0.070 -0.058 -0.175\n-0.023 0.045 0.048 -0.005 0.086 -0.128 0.008 0.013 -0.018 -0.043 0.026 -0.093 0.000 0.066 0.036 -0.011 0.011 0.047 0.167 -0.064 0.085 0.086 -0.045 0.056 -0.005 -0.025 0.000 -0.051 -0.058 -0.035 -0.034 -0.085\n0.279 0.241 -0.304 0.336 -0.254 0.387 0.750 -0.009 -0.581 -0.415 -0.264 -0.366 0.489 0.234 0.439 -0.023 -0.659 -0.129 0.025 -0.429 -0.030 -0.168 0.505 -0.037 -0.230 -0.351 -0.422 -0.394 -0.302 0.530 -0.128 -0.090\n-0.013 0.043 0.012 -0.037 -0.004 0.028 0.045 0.021 -0.054 -0.001 -0.092 -0.101 0.081 0.039 0.054 -0.058 0.113 0.037 0.022 0.033 -0.022 0.025 -0.087 0.014 0.042 -0.012 0.141 -0.044 0.016 0.038 0.036 -0.026\n-0.070 0.037 0.005 -0.031 0.050 -0.052 -0.002 -0.018 -0.033 -0.058 -0.009 -0.070 -0.011 0.093 0.109 -0.087 -0.004 -0.001 -0.004 0.035 0.011 -0.001 0.058 -0.168 0.191 0.037 0.075 0.017 0.062 0.092 0.078 0.022\n-0.031 -0.007 -0.014 -0.158 0.083 -0.004 -0.009 0.036 0.054 0.081 0.156 0.033 -0.113 -0.012 0.072 0.092 -0.099 0.017 0.103 0.132 0.008 -0.049 0.041 0.024 0.047 0.006 -0.035 -0.008 -0.036 0.016 -0.062 -0.023\n0.026 0.071 0.270 0.007 -0.092 -0.053 -0.062 0.110 0.040 -0.199 0.049 -0.054 -0.061 -0.054 0.012 0.012 -0.035 -0.045 -0.005 -0.015 0.004 0.036 -0.048 -0.049 0.010 0.037 -0.113 -0.037 -0.009 -0.072 0.052 -0.041\n0.039 -0.127 0.025 0.044 0.064 -0.011 -0.025 0.073 -0.045 0.024 -0.007 0.034 -0.049 0.005 -0.018 -0.013 0.178 -0.044 0.021 -0.114 -0.098 0.043 -0.096 -0.018 0.065 -0.034 0.040 0.089 0.159 0.098 -0.035 -0.007\n-3.025 1.008 0.895 -1.592 1.082 0.560 -1.042 -0.599 3.861 0.623 -1.472 0.245 2.245 0.314 0.384 -2.365 -2.326 3.775 0.910 1.142 0.317 -0.763 1.889 0.418 1.562 2.514 2.196 1.309 -2.100 -1.022 0.459 -2.469\n-0.248 -1.641 -0.454 0.307 0.222 0.393 0.883 -0.256 0.062 -3.074 0.680 1.506 0.241 0.772 -0.130 -0.012 0.924 -0.308 -1.348 -0.423 -0.353 -0.404 -0.790 0.014 0.252 -0.228 0.309 -0.080 -0.143 0.112 0.510 -0.206\n0.236 0.101 0.285 0.175 0.082 0.092 -0.034 -0.116 0.033 0.258 0.020 -0.042 -0.044 0.051 0.091 0.010 0.200 -0.156 -0.066 -0.214 -0.035 0.079 -0.101 -0.128 -0.137 -0.113 -0.282 -0.042 0.278 -0.048 -0.087 0.017\n0.030 -0.006 0.000 0.083 -0.011 -0.113 0.013 0.040 0.013 0.014 -0.180 0.104 -0.042 0.039 -0.038 0.010 -0.094 -0.017 -0.051 -0.057 -0.065 -0.040 -0.033 0.071 0.102 -0.104 0.053 0.013 -0.013 -0.044 0.017 0.123\n-0.277 0.286 -0.174 -0.011 0.279 0.308 0.831 -0.221 -0.451 -0.053 0.073 0.055 0.524 0.068 0.891 0.051 -0.087 -0.239 -0.006 -0.166 0.113 -0.107 0.653 -0.210 -0.028 -0.459 -1.031 -0.759 -0.107 0.105 0.169 -0.215\n-0.016 -0.029 0.039 0.092 -0.071 0.143 0.005 -0.019 0.004 0.016 0.097 0.038 0.047 -0.029 0.051 0.042 0.010 -0.006 -0.038 0.070 0.032 0.084 0.118 -0.012 -0.069 -0.016 0.030 0.155 0.047 0.032 -0.006 0.016\n0.024 0.021 0.048 -0.107 0.065 0.031 0.017 0.020 -0.024 0.001 -0.063 0.085 0.044 0.034 -0.026 -0.010 0.010 -0.022 -0.185 0.037 -0.108 -0.038 0.001 0.037 -0.048 -0.049 0.044 -0.056 0.035 0.068 0.076 -0.101\n0.076 -0.035 -0.022 0.083 0.090 -0.084 -0.024 0.001 -0.009 -0.018 0.106 -0.032 0.059 -0.064 0.061 0.128 -0.052 0.084 -0.015 0.039 0.088 -0.076 -0.048 -0.118 0.035 0.015 -0.046 -0.071 -0.037 -0.009 0.051 -0.131\n-0.023 0.001 0.055 0.003 -0.040 0.032 -0.269 -0.029 0.178 -0.029 -0.012 -0.014 0.003 -0.035 -0.006 0.161 0.118 -0.012 0.020 -0.035 0.030 -0.009 -0.088 0.057 0.025 -0.025 -0.046 -0.020 0.035 -0.106 0.036 0.067\n-0.013 -0.054 0.029 0.000 0.017 -0.011 0.092 -0.031 -0.008 -0.009 0.000 0.023 0.050 0.011 -0.067 -0.011 -0.046 0.005 -0.020 0.052 -0.050 0.091 -0.019 -0.080 0.040 0.002 0.018 0.109 0.018 -0.042 -0.036 0.096\n-0.025 -0.013 0.066 -0.024 0.076 0.011 -0.050 -0.069 0.025 0.048 -0.066 0.168 -0.045 0.005 -0.032 -0.030 0.019 0.091 0.005 0.042 0.029 0.085 -0.049 -0.010 -0.033 -0.184 -0.024 -0.044 -0.077 0.013 0.060 0.094\n0.056 0.177 -0.010 0.030 0.029 -0.048 -0.019 -0.062 -0.079 0.015 0.014 -0.024 0.071 0.020 0.135 0.018 0.032 -0.003 0.009 -0.008 0.129 0.059 0.047 0.043 0.022 -0.028 -0.005 0.015 -0.029 -0.158 0.056 0.066\n0.038 -0.010 0.062 -0.037 -0.015 0.001 -0.064 0.050 0.131 0.008 -0.024 -0.059 0.060 -0.015 0.123 -0.031 0.050 0.066 -0.041 0.047 0.057 -0.051 -0.038 0.017 0.011 -0.024 0.047 0.019 -0.020 0.022 0.030 0.034\n-0.014 0.035 0.076 -0.023 -0.072 -0.082 -0.282 -0.038 0.024 -0.122 0.007 0.104 -0.003 -0.008 -0.087 0.153 0.142 0.041 -0.014 -0.014 -0.039 0.035 -0.030 0.046 0.047 0.013 0.065 0.080 -0.026 0.063 -0.016 -0.104\n-0.023 0.028 0.041 0.002 -0.010 -0.004 0.008 -0.040 0.060 0.070 0.015 -0.053 0.051 -0.039 -0.041 0.043 0.010 0.010 -0.039 -0.067 0.054 -0.002 0.078 0.073 0.047 0.007 0.017 -0.012 -0.021 0.030 0.035 -0.029\n-0.475 3.278 0.049 -0.762 -2.742 -4.625 1.578 -2.314 -1.095 -1.441 -1.598 -1.371 2.937 2.368 -0.739 2.759 2.841 -0.312 0.011 -5.191 -1.283 1.766 1.296 -1.162 4.723 -1.070 -2.517 2.555 4.204 3.762 -3.938 -0.575\n0.333 -0.698 -0.718 0.319 -0.140 -0.791 1.545 -2.400 2.092 -0.234 -0.091 -0.823 0.118 -1.162 -0.390 0.348 0.387 0.385 -0.095 -0.493 -0.041 1.532 0.588 -0.209 0.036 -0.922 1.225 -0.522 -0.025 0.743 -0.633 -1.021\n-0.186 0.175 -0.085 -0.121 0.050 -0.072 0.275 -0.007 0.060 -0.007 -0.198 -0.098 -0.042 -0.151 -0.062 -0.069 -0.017 0.024 0.070 -0.051 0.147 0.134 -0.052 -0.022 0.034 -0.106 0.002 0.012 0.007 -0.033 0.000 -0.060\n0.111 -0.021 -0.026 -0.015 0.105 0.012 0.146 -0.015 0.061 0.032 0.038 -0.114 -0.067 -0.050 0.096 -0.031 0.109 -0.026 -0.055 0.013 0.021 -0.003 -0.008 0.024 -0.035 -0.209 -0.007 -0.104 -0.029 -0.010 0.065 0.132\n0.459 0.034 0.163 -0.126 0.470 0.115 0.343 -0.273 -0.592 -0.558 0.566 -0.141 0.187 0.245 -0.170 -0.286 0.029 0.185 -0.012 -0.172 -0.660 0.166 0.220 -0.445 0.529 -0.029 0.305 0.129 0.224 0.341 0.154 0.103\n0.533 -2.215 2.475 -2.786 -2.619 -4.168 2.940 1.712 -1.454 -2.395 2.433 3.332 4.354 -0.885 2.798 3.169 2.350 7.277 1.991 -2.227 1.385 -4.495 -2.616 -4.362 0.720 0.072 -2.209 -2.781 0.197 4.750 0.590 1.623\n1.297 -0.315 -1.202 -0.077 -0.809 -0.155 1.075 -2.220 1.324 0.025 0.931 -0.586 0.339 1.258 1.288 -0.184 0.860 1.474 0.481 -0.883 -0.775 1.450 -0.208 -0.794 -0.591 -0.841 0.151 0.690 -0.015 0.285 1.938 -0.549\n0.111 -0.021 -0.171 0.022 0.098 0.119 -0.347 0.211 -0.124 -0.100 -0.044 -0.005 0.130 0.017 -0.105 0.056 -0.001 -0.014 -0.231 0.033 -0.013 0.089 0.298 -0.054 -0.063 0.153 -0.068 -0.098 0.184 0.155 0.134 0.272\n0.037 -0.091 0.006 -0.002 -0.030 0.022 -0.029 0.026 -0.114 0.016 0.003 -0.019 0.092 -0.061 -0.047 -0.072 0.025 0.036 -0.013 -0.043 -0.155 -0.015 0.013 0.020 0.032 -0.035 -0.049 0.123 0.046 -0.062 0.040 0.073\n0.080 -0.017 -0.352 -0.038 -0.211 0.028 0.692 0.092 -0.362 -0.227 -0.155 0.000 0.550 0.201 0.056 0.024 -0.112 0.023 -0.263 -0.335 0.149 -0.010 0.060 -0.548 0.079 -0.126 0.102 0.600 0.703 0.421 0.034 -0.423\n1.250 1.063 -1.085 -2.532 -1.591 -3.898 -1.538 2.638 -0.678 -0.565 0.961 -1.910 0.399 0.273 0.955 1.587 -1.264 0.658 1.204 3.501 0.085 1.922 -2.422 -1.589 -0.621 -3.656 -0.296 -3.867 -2.761 -1.156 0.311 1.488\n1.308 -0.335 -0.581 -0.699 -0.258 -1.369 -0.279 0.501 0.290 -1.056 1.053 -0.997 0.618 -0.550 0.166 -0.829 0.577 1.329 0.404 -0.340 -0.112 0.653 0.126 -1.835 0.163 -1.366 1.007 0.199 4.060 0.584 -0.259 -1.936\n-0.115 -0.066 -0.036 0.066 0.006 -0.039 0.110 -0.066 -0.027 0.009 -0.049 0.015 0.036 -0.039 0.032 -0.027 0.013 -0.061 -0.004 -0.046 0.021 0.039 -0.004 0.027 -0.024 -0.056 0.113 0.040 -0.109 -0.132 -0.050 0.019\n-0.069 -0.017 0.165 -0.023 0.034 -0.021 -0.037 -0.069 -0.061 0.041 0.000 -0.002 -0.030 0.040 -0.091 0.107 -0.064 -0.045 0.131 -0.016 0.016 0.040 0.031 -0.018 0.048 -0.012 -0.109 -0.089 0.025 -0.045 -0.016 -0.013\n-0.118 -0.245 0.119 0.103 0.049 0.050 0.702 0.043 -0.440 -0.539 0.170 -0.206 0.220 -0.025 -0.127 -0.314 0.218 0.116 0.017 -0.192 -0.546 -0.204 0.101 -0.157 0.220 -0.008 0.544 0.182 0.234 0.207 0.090 -0.074\n0.040 0.035 -0.017 0.077 -0.055 -0.001 -0.024 -0.050 0.064 -0.054 -0.014 -0.119 0.022 0.028 0.021 0.040 0.032 -0.025 0.031 0.033 -0.041 0.038 0.011 0.072 -0.015 -0.078 0.058 0.025 -0.007 0.073 -0.063 0.122\n-0.054 -0.029 -0.116 -0.086 -0.068 -0.016 -0.028 0.018 0.008 0.067 0.103 0.073 0.013 0.089 0.086 -0.043 -0.041 -0.004 -0.055 -0.050 0.032 -0.002 0.025 0.015 0.006 0.027 -0.030 -0.056 0.064 -0.060 0.031 -0.077\n0.076 0.005 -0.014 -0.029 0.109 -0.067 0.049 0.039 -0.010 -0.066 -0.099 -0.046 -0.009 -0.082 0.008 -0.033 -0.043 -0.018 -0.103 -0.032 0.007 0.155 0.086 -0.030 -0.048 0.029 -0.020 0.025 0.115 -0.078 0.076 0.030\n0.004 -0.015 0.039 -0.061 -0.060 -0.211 -0.157 0.000 0.037 -0.071 -0.059 -0.043 -0.001 -0.016 0.059 -0.028 0.138 -0.001 0.004 -0.013 0.190 0.028 -0.140 0.055 0.101 -0.065 -0.041 0.040 -0.023 0.022 0.077 -0.016\n-0.085 0.060 -0.013 -0.012 0.003 -0.052 -0.100 0.058 0.030 -0.097 -0.018 0.000 0.017 -0.142 0.046 0.042 0.048 -0.204 -0.100 0.051 -0.054 -0.026 0.003 0.078 0.014 -0.054 0.076 -0.033 -0.132 -0.052 0.014 -0.039\n0.025 0.027 0.101 0.002 -0.056 0.048 -0.100 0.110 -0.118 -0.055 -0.026 0.031 0.008 -0.101 -0.020 0.044 -0.068 0.001 -0.173 0.058 -0.014 -0.006 -0.027 0.043 0.149 -0.022 -0.023 -0.003 0.009 0.038 0.006 -0.053\n0.041 0.028 -0.016 -0.055 -0.057 -0.080 0.065 0.035 -0.077 0.101 -0.026 -0.091 -0.018 0.036 -0.023 -0.012 -0.111 0.042 0.065 0.116 -0.044 0.060 -0.047 -0.113 0.052 -0.057 0.201 -0.020 0.020 -0.007 -0.036 0.012\n0.027 -0.181 0.094 0.074 0.041 0.060 -0.086 -0.082 0.049 0.084 0.138 -0.014 0.052 -0.041 -0.090 -0.055 0.052 -0.096 -0.013 0.021 -0.056 -0.045 -0.099 0.163 0.036 0.056 -0.034 0.000 -0.004 0.047 0.039 0.005\n-0.054 0.023 0.091 -0.078 -0.008 0.053 -0.057 -0.016 0.071 -0.068 -0.067 0.019 -0.062 -0.157 0.071 0.084 0.131 0.082 0.034 -0.043 -0.001 0.013 -0.133 -0.017 0.042 0.161 -0.024 -0.042 0.054 -0.052 -0.057 -0.076\n0.019 -0.012 -0.076 -0.044 -0.135 -0.011 -0.069 -0.080 -0.002 -0.110 -0.047 0.000 0.020 0.069 0.120 0.026 -0.002 0.058 0.027 -0.064 0.102 -0.027 -0.132 -0.042 0.026 -0.026 -0.074 0.068 -0.052 0.016 -0.036 0.062\n-5.170 0.949 -2.872 -3.666 2.229 1.858 -2.442 -1.106 2.503 -2.401 -2.682 -0.281 -0.991 -2.238 2.214 -1.550 -2.794 -1.260 4.190 -5.528 -5.508 0.492 0.735 2.593 -1.315 -1.010 -1.228 0.994 0.689 -0.480 2.118 0.423\n-1.352 0.381 0.227 1.005 -1.153 0.246 1.028 1.108 -0.742 0.987 -0.275 1.547 0.992 -0.833 0.575 -0.072 0.047 0.254 1.105 -2.096 -1.831 -1.170 1.106 0.015 -1.216 4.735 -1.541 -2.130 -0.397 0.399 -0.057 0.490\n0.130 0.006 -0.097 -0.023 0.038 -0.026 -0.079 0.043 0.016 -0.242 -0.075 0.035 -0.072 0.005 0.018 0.005 0.121 -0.068 0.042 0.034 0.059 0.029 -0.037 -0.019 0.031 0.082 0.070 0.052 0.023 -0.034 0.003 0.010\n0.145 0.030 -0.098 -0.034 0.037 -0.068 0.062 -0.027 0.069 0.077 0.028 -0.048 0.052 -0.005 -0.066 0.056 0.004 0.057 0.015 0.015 -0.011 0.023 -0.092 0.006 -0.005 0.019 -0.049 -0.005 0.168 -0.078 0.025 -0.078\n-0.126 -0.349 -0.065 0.085 0.283 0.490 0.857 -0.139 -0.266 0.143 0.361 -0.067 0.446 0.068 0.129 0.272 -0.498 0.122 -0.031 -0.011 0.057 -0.152 0.172 -0.108 0.086 -0.471 -1.075 0.013 0.118 -0.142 0.476 0.174\n-0.300 1.400 -2.245 0.293 -3.458 -3.071 0.997 1.145 2.635 1.000 -1.564 -0.606 -2.499 -3.234 4.706 2.130 -3.294 -1.333 -1.938 -1.582 1.797 -0.525 1.285 0.298 -0.725 -2.546 -1.929 1.326 2.583 0.323 0.113 3.653\n-0.211 -2.491 -0.441 0.355 1.692 1.387 0.919 0.128 0.124 0.842 0.225 1.499 1.083 0.731 -0.263 0.089 4.226 0.060 0.404 -5.925 0.364 -0.879 0.010 0.495 0.297 2.580 -0.173 0.729 -0.599 0.578 0.597 -0.178\n-0.104 0.004 0.543 0.103 -0.492 0.058 -0.175 0.132 0.042 -0.509 -0.195 0.102 -0.043 0.099 0.038 -0.212 -0.255 0.014 0.007 0.190 0.073 0.040 -0.116 0.056 0.053 0.203 0.193 0.144 -0.071 0.004 -0.103 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0.092 0.029 -0.114 -0.061 -0.031 -0.031 -0.006 -0.071 -0.142\n-0.073 0.002 0.016 -0.077 -0.041 -0.106 -0.042 0.054 -0.070 0.152 0.087 -0.094 -0.061 0.044 -0.060 -0.110 -0.023 -0.085 0.092 0.065 -0.011 -0.048 -0.004 -0.086 0.025 -0.019 -0.080 -0.009 0.038 -0.124 -0.068 0.087\n0.237 -0.214 -0.100 -0.043 0.415 0.473 0.850 -0.136 -0.326 -0.124 0.125 0.091 0.666 0.352 0.318 0.395 -0.614 -0.085 0.171 -0.095 0.299 -0.283 0.366 -0.052 0.244 -0.561 -0.445 -0.049 0.048 -0.143 0.475 0.040\n0.014 -0.004 0.103 0.025 -0.033 0.076 -0.057 0.061 -0.082 -0.039 0.091 -0.056 0.039 0.086 -0.064 -0.062 0.049 0.110 0.050 -0.036 0.042 0.005 -0.091 0.051 -0.015 0.031 -0.062 -0.022 0.003 0.081 -0.018 -0.014\n0.058 0.036 -0.072 0.007 -0.032 0.034 -0.070 -0.015 -0.084 -0.011 -0.121 0.006 0.110 -0.002 -0.031 0.057 -0.090 0.003 0.054 -0.035 0.035 -0.082 -0.009 -0.030 0.095 -0.067 0.134 0.005 -0.028 0.048 0.099 0.019\n0.128 0.000 0.058 -0.026 0.083 0.071 0.006 -0.064 0.019 0.024 0.064 -0.145 0.098 0.046 -0.003 0.110 -0.071 0.055 -0.003 -0.006 0.022 -0.033 -0.157 0.051 -0.010 0.003 0.060 0.071 -0.026 -0.101 -0.009 -0.009\n0.108 -0.033 0.200 -0.072 -0.013 -0.028 -0.118 0.025 -0.030 -0.023 0.010 0.148 -0.061 -0.019 -0.033 0.125 0.140 0.028 0.041 0.028 -0.081 -0.002 -0.010 -0.021 0.019 0.041 0.034 -0.038 0.052 -0.046 -0.107 -0.122\n0.049 -0.121 -0.012 0.175 -0.119 -0.015 0.001 0.041 0.119 -0.032 -0.008 -0.043 -0.013 0.006 -0.151 -0.046 0.171 -0.037 0.138 0.009 0.005 0.077 0.052 -0.033 0.037 -0.082 -0.025 0.064 -0.039 -0.118 0.047 -0.131\n0.139 0.017 -0.038 -0.023 0.058 -0.049 -0.056 -0.080 0.012 0.013 0.004 0.025 0.012 -0.023 -0.155 -0.049 -0.011 0.002 0.039 -0.086 -0.062 0.045 0.008 -0.165 -0.071 -0.061 0.000 0.021 -0.064 -0.060 -0.040 -0.067\n-0.131 0.088 -0.072 0.010 0.089 -0.040 0.077 -0.060 0.079 0.070 0.008 0.042 -0.031 -0.022 0.091 -0.108 0.008 -0.027 -0.027 0.045 0.029 0.053 0.026 -0.099 0.011 0.013 -0.013 0.072 0.034 -0.033 0.004 0.063\n-0.147 -0.146 -0.113 -0.024 -0.144 -0.031 -0.011 -0.077 -0.007 0.048 -0.020 -0.042 0.048 0.009 -0.032 -0.027 0.148 0.119 -0.035 -0.068 -0.003 0.009 -0.103 0.057 0.007 0.062 -0.017 -0.013 -0.145 0.039 0.015 -0.088\n0.053 -0.055 0.113 -0.006 -0.020 -0.019 -0.031 0.050 -0.092 -0.070 -0.039 0.017 -0.086 -0.076 -0.037 -0.018 0.155 -0.008 -0.023 -0.005 -0.015 0.002 -0.135 0.011 -0.007 -0.055 -0.065 0.093 0.046 0.023 -0.096 -0.041\n0.027 -0.029 0.019 -0.067 0.066 -0.067 -0.007 0.035 -0.015 -0.080 0.011 -0.117 -0.051 0.083 -0.083 -0.025 0.108 0.061 0.104 0.044 -0.006 0.072 -0.088 -0.008 0.059 0.065 0.121 0.076 -0.081 -0.083 0.085 0.108\n1.089 0.097 -0.640 -2.849 2.369 -3.520 -1.594 -3.569 -2.238 -1.540 0.155 -2.014 -0.020 -2.436 -0.991 -0.736 0.149 0.011 0.726 -3.819 -1.354 0.999 1.086 -2.957 3.324 1.118 -3.025 4.819 2.905 1.575 0.773 0.040\n1.400 -0.993 -0.601 0.157 -0.762 1.013 1.352 -1.069 2.810 0.363 0.651 -0.625 0.715 0.762 0.420 -0.181 -0.340 0.060 -0.966 1.052 0.374 -4.448 1.935 -0.307 1.120 -0.029 -0.269 0.129 0.511 1.406 1.372 0.523\n0.097 0.465 0.110 0.253 0.005 0.116 0.056 -0.083 -0.068 0.042 0.206 0.189 -0.126 0.048 -0.311 -0.095 -0.007 -0.051 -0.031 -0.077 -0.050 0.001 0.167 -0.055 0.202 -0.238 0.035 -0.111 -0.068 0.115 -0.234 0.425\n-0.164 -0.059 0.024 -0.072 0.121 0.050 0.008 0.042 0.038 -0.100 -0.013 0.039 -0.051 -0.101 0.099 -0.008 -0.019 0.030 0.033 -0.009 -0.046 0.059 0.051 0.102 -0.082 -0.035 -0.065 -0.093 0.028 -0.074 -0.005 -0.061\n-0.144 0.031 -0.211 0.088 -0.113 0.094 0.866 0.083 -0.453 -0.241 0.073 -0.094 0.534 0.178 -0.128 0.018 0.093 -0.114 -0.267 -0.320 0.124 -0.033 0.105 -0.526 0.084 -0.082 -0.058 0.512 0.785 0.583 0.152 -0.396\n-1.185 4.176 1.105 -0.774 -0.129 -0.551 -0.939 2.628 -2.340 -2.010 0.311 3.009 -1.302 -2.056 -1.504 1.792 1.080 -5.151 -0.058 -4.210 0.224 0.248 1.510 2.798 -1.620 -0.974 -3.726 2.703 0.220 2.178 -1.267 1.944\n-0.084 -0.760 -1.294 -0.370 0.165 -0.586 -0.416 1.483 0.356 -0.130 0.003 -0.862 0.638 -1.199 0.047 -0.818 0.298 1.508 0.177 -0.285 -0.221 1.682 -0.147 -1.134 -0.233 -1.947 1.366 -0.240 3.085 0.943 -0.505 -0.838\n-0.036 0.060 0.052 -0.054 0.038 -0.013 0.564 -0.172 0.079 -0.046 -0.033 -0.103 -0.145 -0.105 -0.131 0.003 -0.019 -0.123 -0.082 -0.012 -0.012 0.037 0.126 -0.001 0.204 0.106 -0.104 -0.103 -0.121 0.035 -0.186 0.136\n-0.008 -0.024 -0.106 -0.115 0.024 0.002 -0.033 0.094 0.027 0.103 0.076 0.031 -0.097 -0.001 -0.026 0.023 -0.012 0.020 0.036 0.060 0.030 -0.015 -0.042 0.017 -0.003 -0.119 0.003 0.127 -0.124 0.076 0.029 0.026\n-0.168 0.070 -0.069 0.018 0.227 0.257 0.674 0.082 -0.477 -0.607 0.211 -0.214 0.269 0.293 -0.143 -0.025 0.073 0.073 -0.045 -0.048 -0.387 0.051 0.201 -0.204 0.412 0.108 0.352 0.176 0.287 0.121 0.072 -0.073\n-0.384 0.955 -0.779 -3.145 3.458 0.212 -0.799 -2.911 -0.733 -2.100 1.259 -3.309 2.887 -2.773 2.521 0.322 -0.093 0.794 0.510 1.768 -3.540 0.036 -2.614 0.358 -0.246 1.976 2.346 0.401 -1.598 0.291 -3.661 -2.589\n0.192 -0.418 -1.203 0.060 -1.136 0.404 0.157 -0.335 0.949 0.065 1.615 -0.930 0.772 0.997 -0.094 0.026 1.002 1.860 0.662 -1.195 -2.619 -1.203 -0.035 -1.200 -0.555 -1.019 0.545 0.798 0.656 0.416 2.335 0.033\n-0.185 -0.053 0.096 -0.087 0.115 0.028 0.248 -0.143 0.014 -0.220 -0.058 -0.033 -0.089 -0.024 -0.137 0.074 -0.002 -0.099 -0.004 0.008 -0.111 0.019 0.096 -0.006 0.083 0.012 -0.088 0.037 -0.088 0.032 -0.029 0.045\n0.030 -0.041 0.010 -0.013 -0.088 0.080 -0.043 0.009 0.012 0.018 0.076 -0.088 -0.040 0.012 0.079 0.146 -0.030 0.016 0.049 0.045 0.021 0.050 0.030 0.105 -0.018 -0.009 0.005 0.057 0.009 0.095 0.051 0.119\n0.159 -0.010 -0.482 0.421 -0.123 -0.204 0.810 0.105 -0.375 -0.141 -0.220 0.071 0.419 0.162 0.133 -0.009 -0.067 0.206 -0.307 -0.385 0.171 -0.012 -0.128 -0.418 -0.168 -0.135 0.025 0.626 1.149 0.313 0.038 -0.340\n-0.076 -0.082 0.075 -0.100 -0.012 -0.066 -0.054 -0.078 0.123 0.030 0.030 0.014 -0.003 -0.085 0.061 -0.021 -0.081 -0.013 0.134 0.128 -0.066 0.036 -0.120 0.112 -0.067 0.064 -0.081 -0.103 -0.005 0.000 0.053 -0.012\n-0.021 0.018 -0.043 0.075 0.010 -0.023 0.088 -0.032 -0.035 0.053 -0.006 -0.001 0.019 0.003 -0.045 -0.067 -0.010 0.058 0.077 0.058 0.040 -0.015 0.031 0.029 0.161 0.068 0.000 0.028 -0.057 0.058 -0.110 -0.023\n0.039 -0.005 0.062 0.014 -0.034 -0.083 -0.117 0.012 0.040 -0.032 -0.018 -0.098 -0.029 -0.095 0.175 0.018 0.123 0.041 -0.132 -0.001 0.005 0.023 0.021 -0.051 0.039 0.039 -0.045 -0.058 -0.005 -0.051 0.041 0.009\n0.001 0.068 0.132 -0.010 -0.061 0.002 -0.113 0.008 0.089 -0.091 -0.020 0.113 -0.043 -0.024 -0.062 0.030 0.109 -0.047 0.017 -0.061 0.032 -0.028 -0.080 0.011 -0.074 0.079 -0.076 -0.095 0.046 -0.098 0.022 0.054\n-0.038 0.110 -0.009 0.007 -0.095 0.017 0.074 0.023 -0.018 0.118 -0.121 0.017 0.057 0.102 0.025 -0.088 -0.081 -0.014 -0.114 -0.062 0.006 0.109 -0.032 -0.032 -0.086 0.087 -0.018 -0.037 0.113 0.003 -0.074 0.001\n-0.055 0.011 -0.011 -0.109 -0.095 -0.029 0.096 -0.095 -0.022 -0.053 0.039 0.055 -0.042 0.054 0.063 -0.006 0.076 -0.064 -0.066 -0.129 0.102 -0.051 0.019 0.007 0.036 -0.061 -0.099 0.088 -0.023 0.057 0.007 -0.004\n-0.007 -0.011 -0.034 -0.038 -0.012 0.018 -0.065 0.034 0.004 -0.064 0.039 -0.021 0.003 0.062 -0.024 0.063 0.120 0.012 0.098 0.181 -0.054 0.024 0.121 0.053 0.044 -0.005 0.016 0.048 0.041 -0.020 0.075 0.080\n-0.035 -0.005 0.095 -0.047 0.005 0.014 0.066 0.030 0.041 -0.021 -0.024 0.020 -0.079 0.169 0.003 0.031 -0.050 0.006 -0.055 -0.081 -0.043 -0.100 -0.104 -0.017 0.032 -0.018 -0.038 0.001 -0.086 -0.110 0.041 -0.134\n-0.009 0.008 0.099 0.006 0.058 -0.155 -0.232 -0.029 0.005 -0.004 -0.007 0.022 0.098 -0.002 -0.034 -0.054 -0.018 -0.091 -0.071 0.033 -0.031 -0.057 -0.002 0.064 0.023 -0.081 0.030 -0.059 0.013 -0.021 -0.134 -0.061\n-0.070 0.084 -0.051 -0.026 0.060 -0.062 0.001 0.071 -0.020 0.032 -0.092 0.005 -0.091 0.092 0.043 -0.011 0.065 -0.030 0.073 -0.040 -0.155 0.026 0.079 -0.033 -0.033 0.124 0.089 0.029 -0.062 -0.033 -0.002 -0.046\n0.523 0.466 -1.056 0.256 1.417 1.826 -2.162 -0.082 1.992 2.027 -0.565 1.758 3.460 0.489 5.592 -0.345 2.554 1.234 -4.334 -2.663 -5.116 -2.628 1.685 1.557 -0.034 0.236 -1.316 0.400 2.865 -1.432 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1.120 -1.821 -0.245 -0.480 -0.068 4.254 -0.970 1.412 -2.243\n0.875 1.003 -0.442 -0.502 1.451 0.424 1.064 0.983 -0.317 1.608 -1.070 1.683 1.101 -1.433 0.582 -2.081 1.834 0.357 0.823 -4.682 3.248 -0.918 0.431 0.612 0.608 1.831 -0.937 -1.524 0.877 -0.100 -0.676 0.194\n-0.011 -0.030 0.012 0.097 -0.807 -0.056 -0.142 0.012 0.019 -0.251 -0.061 0.196 -0.007 0.120 0.035 -0.050 0.462 -0.079 0.049 0.080 -0.018 -0.035 0.075 -0.003 -0.265 0.049 0.188 0.073 0.010 0.137 -0.082 -0.072\n-0.154 -0.078 -0.100 0.024 0.014 0.021 0.096 -0.134 0.040 -0.064 -0.105 0.095 -0.069 0.131 0.055 -0.004 0.101 0.034 0.047 -0.152 0.002 -0.007 -0.009 -0.028 0.006 -0.045 -0.058 -0.024 -0.059 -0.015 -0.099 0.116\n0.296 -0.433 -0.156 0.006 0.251 0.554 0.853 -0.191 -0.285 0.139 0.504 0.428 0.644 0.212 0.052 0.355 -0.265 -0.039 -0.029 -0.088 0.187 -0.295 -0.236 -0.159 0.311 -0.351 -1.334 -0.242 0.254 -0.318 0.551 0.042\n-0.446 -2.027 1.742 -2.854 0.712 0.388 -1.793 -2.008 -1.744 0.748 -0.227 -1.025 3.616 0.997 -0.373 1.589 2.312 -0.594 4.026 3.284 -5.373 -3.692 -1.959 0.081 -1.925 -1.114 -2.236 -0.240 1.191 -2.142 0.443 -4.063\n0.340 1.394 -0.575 0.313 0.919 0.107 0.962 -0.345 0.909 0.618 -0.084 1.906 0.246 1.047 -0.486 0.101 0.058 -0.520 1.199 1.175 -0.789 -0.604 -1.727 0.275 1.347 0.589 0.066 0.422 -0.354 1.911 0.309 0.490\n-0.084 0.051 0.007 0.080 0.216 0.005 0.106 0.045 -0.063 -0.129 0.008 0.066 0.063 0.258 -0.050 0.036 -0.160 -0.043 0.012 -0.149 0.190 0.037 -0.124 -0.021 0.109 0.232 0.022 0.172 -0.036 0.037 -0.051 0.067\n-0.014 -0.018 -0.028 0.053 -0.017 -0.044 -0.002 0.086 0.050 -0.018 0.075 0.104 -0.082 -0.048 -0.154 -0.067 -0.052 -0.124 -0.034 0.052 0.012 0.098 -0.059 -0.052 0.053 -0.004 0.034 -0.022 -0.036 0.017 -0.023 -0.015\n-0.145 0.266 -0.037 0.567 0.075 0.216 0.801 -0.387 -0.182 -0.072 -0.188 0.499 0.360 -0.347 0.505 -0.050 0.287 -0.279 0.083 0.144 0.141 -0.307 0.358 -0.097 -0.205 -0.762 -0.701 -0.798 -0.039 -0.237 0.405 -0.267\n-0.022 0.053 0.035 -0.026 -0.044 -0.063 0.034 0.047 0.038 -0.080 0.002 0.074 -0.061 -0.099 0.082 0.042 -0.023 -0.064 0.061 0.090 0.075 0.028 0.019 -0.047 0.043 -0.001 -0.033 -0.006 -0.045 0.025 -0.087 0.024\n0.057 -0.040 0.004 -0.055 -0.015 0.051 -0.131 0.071 0.156 -0.045 0.023 -0.039 -0.025 -0.041 0.007 0.036 -0.023 -0.001 0.025 -0.053 0.041 -0.001 -0.064 0.033 0.091 -0.005 -0.013 -0.024 0.056 0.017 -0.047 -0.034\n-0.067 -0.038 -0.071 0.024 -0.058 -0.055 0.036 -0.049 -0.004 0.042 -0.020 0.007 -0.060 0.019 0.025 -0.108 0.055 0.035 -0.052 0.004 0.031 -0.049 -0.063 0.030 0.027 0.108 -0.053 0.022 0.092 0.085 0.094 -0.002\n-0.039 0.009 0.214 -0.023 0.145 -0.052 -0.135 -0.041 -0.025 -0.130 -0.019 0.106 -0.006 -0.044 -0.052 0.014 0.107 0.034 0.007 -0.128 -0.008 0.010 -0.053 -0.083 0.046 0.019 -0.006 0.048 0.039 -0.028 -0.081 -0.016\n0.185 0.035 -0.093 -0.056 0.050 0.052 0.021 -0.141 -0.015 -0.056 0.150 -0.005 -0.062 -0.050 0.017 -0.021 -0.085 -0.003 0.053 0.078 0.055 -0.096 -0.008 0.044 0.018 -0.024 0.014 0.071 -0.064 -0.077 0.084 -0.015\n-0.026 0.153 0.157 0.033 -0.060 0.015 -0.023 0.012 0.026 0.001 0.055 0.002 0.057 0.070 0.052 -0.077 0.069 -0.082 -0.110 0.008 -0.088 0.010 -0.002 0.021 0.018 0.054 0.063 -0.088 0.000 -0.085 0.002 0.039\n0.003 0.002 0.007 0.004 -0.030 -0.073 0.052 0.020 0.209 0.072 0.122 -0.032 0.016 -0.080 0.040 -0.053 0.021 0.046 -0.063 0.055 0.037 0.065 -0.159 0.016 0.041 -0.038 0.081 0.062 0.058 -0.061 0.047 -0.108\n-0.078 -0.040 -0.003 -0.014 -0.048 0.007 0.006 -0.072 -0.039 -0.055 -0.113 0.062 -0.073 0.074 0.078 0.152 -0.020 -0.073 0.003 -0.087 0.014 -0.004 -0.014 0.063 -0.040 -0.068 0.078 -0.013 0.123 -0.098 -0.051 0.022\n0.073 -0.030 0.036 -0.038 -0.082 -0.128 -0.094 -0.117 0.097 0.062 -0.084 -0.002 0.015 -0.086 -0.017 -0.024 -0.002 -0.073 0.154 0.039 -0.098 0.050 0.076 0.049 0.003 0.145 -0.036 -0.129 -0.018 -0.082 -0.030 -0.070\n0.000 0.000 0.006 -0.011 0.068 0.047 -0.028 0.114 0.101 -0.058 0.036 -0.056 0.064 -0.062 -0.080 0.043 -0.024 -0.074 0.059 -0.081 0.167 -0.028 -0.015 0.023 -0.073 -0.012 0.039 0.018 -0.013 0.044 -0.048 -0.006\n1.706 -0.950 1.034 -0.482 0.212 -0.997 0.966 -0.037 1.198 -0.383 1.523 -2.138 0.696 0.519 0.780 0.985 0.771 1.153 -2.599 -0.187 -0.619 -3.457 -2.102 -0.484 -1.650 2.570 -2.133 0.460 0.348 0.153 -0.819 -1.104\n1.342 -0.869 -0.526 -0.054 -0.838 0.885 1.483 0.323 0.651 0.357 -0.724 -0.769 0.532 -2.391 -0.372 -0.358 -0.528 -0.288 -0.403 -0.115 0.275 1.821 1.142 -0.311 1.295 -0.362 0.821 -0.023 0.131 1.169 0.071 -3.008\n-0.194 0.085 0.046 -0.060 0.014 -0.264 -0.250 0.120 -0.066 -0.025 -0.144 -0.011 -0.236 -0.150 0.285 -0.074 0.091 -0.397 0.158 -0.040 0.223 0.074 -0.195 0.145 -0.177 -0.230 0.331 -0.052 -0.142 -0.120 0.184 -0.105\n0.018 -0.018 0.045 0.066 0.090 0.114 -0.080 -0.007 0.053 -0.020 0.017 -0.094 -0.064 -0.026 0.015 0.086 0.011 0.026 0.088 0.005 -0.127 -0.142 -0.013 -0.099 0.006 -0.112 0.045 0.052 0.016 -0.049 -0.002 0.025\n0.608 -0.409 -0.297 -0.353 0.481 -0.011 0.564 -0.366 0.195 -0.487 0.218 -0.114 0.340 0.625 -0.346 0.170 0.267 0.335 0.449 -0.226 -0.818 -2.736 0.130 -0.512 -0.319 -0.020 0.264 0.183 0.903 0.157 0.527 0.174\n-0.015 0.008 -0.161 0.001 0.092 -0.045 -0.052 0.025 -0.042 0.084 -0.072 0.001 0.053 0.147 -0.058 0.056 0.044 -0.120 -0.170 0.004 -0.102 -0.025 -0.032 -0.082 -0.066 -0.132 0.023 0.040 -0.055 0.070 0.032 0.003\n0.092 -0.075 0.049 -0.123 -0.052 0.027 -0.042 0.019 -0.011 -0.036 -0.001 -0.098 -0.056 0.069 -0.038 0.017 0.093 0.004 -0.018 -0.079 -0.005 -0.038 0.017 -0.188 -0.007 -0.047 0.127 -0.047 -0.149 -0.016 0.020 0.036\n0.015 -0.053 -0.032 -0.025 -0.104 -0.004 -0.011 0.008 0.033 0.004 -0.093 -0.042 0.117 0.007 0.046 0.122 0.007 -0.077 -0.073 -0.149 0.014 -0.032 0.020 -0.023 0.022 -0.082 -0.082 -0.014 0.105 0.025 0.040 -0.016\n-0.074 0.104 0.077 -0.127 0.008 -0.084 -0.183 -0.002 0.046 -0.042 0.072 0.051 -0.038 -0.041 -0.038 -0.048 -0.012 0.034 0.010 0.063 0.029 -0.104 -0.197 0.004 0.077 0.059 -0.096 -0.010 -0.062 0.081 -0.064 0.007\n0.059 -0.047 -0.069 -0.059 -0.053 -0.128 -0.008 -0.042 0.024 0.034 -0.022 -0.034 0.064 0.022 -0.032 -0.052 -0.077 0.017 -0.035 0.020 -0.004 -0.069 0.002 0.011 0.082 0.126 -0.002 0.029 -0.047 0.006 -0.058 -0.018\n-0.033 3.372 2.452 -2.661 1.899 0.456 2.000 1.805 -0.300 -2.019 -0.057 -0.469 2.707 -3.719 -0.104 1.358 2.268 0.390 -2.765 -1.219 0.385 -3.989 0.356 -1.235 -1.568 1.738 2.083 3.503 -1.429 -0.886 2.815 1.152\n-0.143 0.568 -0.753 1.206 -0.386 -0.228 1.017 0.419 -0.373 0.063 -0.495 -1.085 -0.487 -1.130 0.556 -1.036 0.243 0.719 -0.099 -0.716 -1.384 -1.104 -1.093 -1.713 -0.840 -1.490 0.031 -0.610 2.423 -0.563 -0.141 -0.721\n0.209 0.159 0.089 -0.060 0.087 -0.128 -0.106 -0.063 -0.002 -0.007 -0.022 -0.065 -0.133 0.048 -0.094 -0.132 0.026 0.092 0.026 -0.071 0.097 -0.028 0.096 0.015 0.193 -0.055 -0.387 -0.054 0.011 -0.028 0.004 0.056\n-0.034 0.032 0.051 -0.007 -0.004 0.057 0.001 0.012 -0.076 -0.015 0.044 -0.120 -0.039 0.093 0.064 0.009 0.056 -0.059 0.021 0.040 0.032 0.024 -0.081 -0.044 -0.044 0.038 0.051 -0.014 -0.012 0.113 -0.019 -0.040\n-0.202 0.008 0.040 0.121 0.259 0.285 0.509 -0.241 -0.140 -0.532 -0.208 -0.092 0.247 0.059 0.165 -0.259 -0.010 -0.081 -0.041 -0.129 0.288 -0.661 -0.067 -0.081 -0.243 -0.235 0.767 0.270 0.246 -0.101 0.088 -0.369\n-3.800 0.812 1.489 0.444 -3.001 -0.223 2.029 -3.610 0.931 -2.239 2.554 0.071 0.690 -2.389 -0.914 -1.209 1.565 -1.030 -1.240 -2.530 0.405 -1.854 -2.919 -2.961 -5.319 -0.698 1.063 -0.262 -0.140 -2.168 -2.662 -2.114\n0.049 0.639 -0.642 1.821 -0.044 0.957 1.080 0.020 0.230 0.438 -2.874 -0.487 0.819 -0.036 -2.007 1.188 -0.605 0.939 0.603 0.550 0.031 -1.572 -0.362 0.097 -0.855 -0.722 0.461 0.490 0.786 -0.422 0.002 -0.149\n-0.862 0.229 -0.733 -0.704 1.596 -1.426 0.761 -1.002 -0.417 -0.216 1.171 -0.022 -0.542 -1.319 -1.183 0.841 -0.698 -1.177 0.738 -0.958 -0.044 0.383 -0.207 -0.426 -0.080 0.030 0.745 0.120 -0.602 -0.581 1.204 0.280\n-0.054 0.051 0.002 -0.006 -0.095 -0.001 -0.022 0.089 0.008 -0.031 -0.081 -0.049 0.123 0.029 -0.127 -0.020 0.008 0.018 -0.081 -0.009 0.027 -0.013 0.048 -0.091 0.060 0.020 0.051 -0.086 -0.075 -0.014 0.070 0.057\n-0.370 0.231 -0.032 0.209 0.124 -0.032 0.643 -0.256 -0.058 0.021 -0.356 -0.053 0.230 0.107 0.346 -0.055 -0.364 -0.059 -0.142 -0.069 -0.212 0.445 -0.033 -0.120 -0.105 -0.241 0.397 0.281 -0.158 0.273 0.135 0.233\n0.076 0.433 3.222 0.981 -2.602 -0.541 0.943 -0.877 -0.456 -0.674 2.065 -0.284 -0.408 -4.255 2.287 1.446 -2.104 0.774 0.890 -2.248 0.127 -0.592 -3.960 -5.007 -3.587 2.705 1.899 1.013 0.123 0.955 -0.302 0.498\n1.247 1.575 -0.404 1.057 0.347 3.904 1.145 0.087 0.073 0.032 -2.186 0.061 0.534 1.192 1.857 0.197 -0.760 -0.069 -0.537 -0.261 0.288 -2.028 -0.709 0.557 -0.961 -1.250 -2.618 -0.318 1.027 -1.458 -0.090 0.821\n-0.168 0.143 0.123 -0.062 0.063 0.019 -0.343 0.002 0.055 -0.072 -0.012 -0.042 -0.032 -0.127 -0.096 0.083 0.025 -0.067 -0.134 -0.009 0.031 0.040 0.018 -0.047 0.077 0.017 -0.115 -0.052 0.005 0.076 -0.073 -0.045\n0.002 -0.089 -0.001 -0.087 -0.054 -0.040 0.024 -0.095 0.085 -0.012 0.114 -0.060 0.123 0.087 -0.071 0.056 0.022 -0.031 -0.051 -0.133 0.062 -0.034 0.051 0.018 0.002 -0.023 0.084 -0.049 -0.069 0.017 -0.026 -0.089\n0.060 0.081 0.009 0.038 0.056 0.246 0.590 -0.287 -0.174 -0.366 -0.307 -0.138 0.128 0.135 0.247 -0.296 -0.183 -0.086 0.174 -0.162 0.268 -1.033 -0.017 -0.113 -0.008 -0.253 0.095 0.446 -0.281 0.015 0.424 -0.042\n2.953 2.523 1.785 0.092 0.242 -2.131 -1.471 -1.586 3.579 -2.300 0.635 4.938 1.681 1.588 1.226 0.570 3.696 -1.020 -0.304 -0.169 -1.116 -2.341 -4.153 0.794 3.093 1.923 2.097 4.186 -1.447 0.134 4.010 -4.740\n0.813 0.334 -0.588 2.178 0.094 -0.071 1.305 0.945 0.258 0.194 -4.838 0.687 1.479 -0.561 0.158 -1.299 0.313 0.905 1.190 0.168 0.570 -2.415 1.489 1.345 -0.661 -0.246 0.495 -1.351 0.234 0.229 -0.497 -0.181\n-0.154 0.052 0.061 -0.191 -0.311 0.047 -0.323 0.030 0.045 0.036 0.165 0.068 -0.069 -0.178 -0.190 0.055 0.166 0.168 -0.148 -0.070 -0.195 -0.064 -0.046 -0.291 0.083 -0.112 -0.048 -0.196 0.167 0.041 -0.032 -0.020\n0.007 0.057 0.032 -0.071 -0.048 0.096 0.096 0.011 0.081 0.002 0.022 0.014 -0.046 -0.010 0.024 -0.117 -0.068 0.044 -0.100 -0.031 -0.044 0.050 -0.004 -0.014 0.021 0.069 -0.010 0.020 -0.084 -0.064 -0.065 -0.001\n-0.221 0.635 -0.115 0.238 0.140 0.175 0.761 -0.325 -0.209 0.277 -0.145 -0.059 0.237 0.185 0.165 0.314 -0.113 0.054 -0.058 -0.192 0.088 -0.005 0.059 0.016 -0.103 -0.061 0.080 0.301 -0.324 0.348 0.456 0.171\n-0.009 0.041 -0.081 0.066 0.015 0.079 0.030 -0.113 -0.022 0.041 -0.083 -0.078 -0.049 -0.015 -0.019 -0.062 0.019 0.116 -0.058 -0.074 0.066 0.061 -0.026 0.022 -0.016 0.040 -0.067 0.016 0.076 -0.010 0.070 -0.014\n-0.004 0.015 -0.057 -0.075 -0.051 0.033 0.083 -0.093 -0.014 -0.089 -0.107 -0.062 0.025 0.157 -0.042 -0.004 0.054 0.036 0.030 -0.001 0.047 0.046 0.077 0.077 -0.066 0.001 -0.024 0.012 -0.110 0.068 -0.022 -0.079\n-0.009 -0.058 0.087 -0.144 0.017 -0.037 -0.039 -0.005 -0.015 -0.029 -0.008 0.035 0.117 0.032 0.049 0.087 -0.023 -0.030 0.005 0.023 -0.045 0.052 0.044 -0.049 0.005 0.015 -0.072 -0.104 0.030 -0.011 -0.083 -0.033\n-0.033 -0.031 0.144 0.008 -0.123 -0.125 -0.283 -0.012 0.026 -0.083 -0.069 -0.096 0.028 0.057 -0.047 0.004 0.063 0.097 -0.028 0.114 0.022 0.059 0.020 -0.014 -0.029 0.047 -0.026 0.032 0.137 -0.047 -0.082 -0.021\n0.044 -0.134 0.031 0.093 0.040 -0.037 0.067 -0.034 -0.003 -0.070 0.022 -0.042 0.118 0.011 0.076 0.008 -0.020 -0.098 0.020 0.004 -0.003 0.083 -0.075 -0.021 -0.048 -0.083 0.017 -0.031 0.158 -0.042 -0.053 0.063\n-0.594 1.667 -0.357 -2.710 -0.191 -0.285 -0.450 1.278 2.412 -1.402 -4.531 -1.104 0.595 1.836 0.034 3.545 1.957 0.610 0.227 0.336 -3.293 -2.958 0.972 -0.734 1.102 1.114 -2.329 0.458 0.216 -0.970 5.132 -2.417\n0.060 1.191 -1.020 -1.401 0.277 0.579 0.919 -0.108 -0.008 0.946 -0.207 2.585 1.167 -0.328 -0.516 -0.675 -0.141 -0.097 -0.048 -1.124 -0.590 -0.365 -0.100 -0.036 1.348 0.700 -0.871 0.356 0.450 -0.037 -0.181 0.504\n-0.074 -0.084 0.054 0.017 -0.085 0.080 -0.113 0.008 -0.001 -0.100 -0.042 -0.125 0.034 0.105 0.005 -0.142 -0.025 -0.027 0.094 -0.136 0.015 -0.033 0.062 0.011 -0.133 0.057 0.018 -0.019 -0.011 0.021 -0.074 -0.012\n0.029 0.116 0.103 0.006 0.106 -0.016 0.158 -0.030 0.036 0.026 0.075 0.052 -0.021 -0.037 -0.003 0.075 0.021 -0.014 -0.077 0.015 0.073 0.023 -0.001 -0.007 -0.017 0.125 0.014 0.030 -0.025 0.002 0.067 0.085\n-0.047 0.059 -0.090 0.280 0.657 0.376 0.770 -0.119 -0.300 -0.104 0.075 0.801 0.754 0.046 -0.211 0.341 -0.358 -0.280 0.705 0.027 0.284 -0.041 0.223 -0.088 0.438 -0.606 -0.723 -0.401 0.358 0.107 0.876 -0.056\n0.092 -0.007 -0.006 0.025 -0.026 -0.099 -0.082 0.008 0.049 -0.032 0.049 0.031 0.079 0.005 0.041 -0.037 -0.035 0.022 -0.057 -0.037 0.004 0.005 0.029 -0.010 -0.093 0.095 0.000 0.012 0.029 0.124 0.017 0.030\n-0.018 -0.013 -0.036 -0.078 -0.012 -0.038 0.058 0.059 0.096 0.077 -0.117 0.022 0.049 -0.038 -0.002 -0.037 0.028 0.034 0.011 0.017 -0.017 0.028 -0.073 -0.014 -0.059 0.028 -0.006 -0.026 0.070 0.057 0.016 0.002\n-0.030 0.017 -0.079 -0.094 -0.078 0.071 -0.010 -0.067 0.029 -0.008 -0.031 0.045 0.019 -0.033 0.037 -0.013 0.027 -0.024 0.015 0.030 -0.026 0.029 -0.024 -0.022 -0.007 0.091 -0.148 0.034 -0.032 -0.072 0.172 -0.037\n0.008 0.016 0.125 0.039 -0.020 -0.029 -0.170 0.102 -0.004 -0.135 -0.003 -0.038 -0.125 0.017 0.005 0.079 0.087 0.027 0.016 0.157 -0.049 -0.038 -0.020 0.006 0.100 0.036 -0.084 -0.060 0.042 0.031 -0.139 -0.013\n0.000 0.013 0.103 0.021 0.024 0.023 0.005 -0.113 -0.016 -0.038 0.037 0.141 0.025 -0.013 -0.045 0.080 0.050 -0.170 -0.001 -0.047 -0.055 0.125 0.007 0.104 0.077 -0.038 0.032 -0.064 -0.136 0.118 0.088 -0.038\n-0.013 -0.049 0.006 -0.047 0.003 0.044 0.107 0.020 -0.011 0.030 -0.027 0.012 0.125 0.035 0.047 -0.032 -0.051 0.022 0.089 0.031 0.006 0.004 -0.135 0.034 0.105 0.096 -0.009 -0.002 -0.093 -0.031 -0.008 0.029\n-0.054 -0.063 0.017 -0.063 -0.061 0.026 0.016 0.038 0.041 -0.015 0.105 -0.018 0.023 -0.074 -0.049 -0.072 0.014 0.012 0.028 -0.034 0.011 -0.030 -0.063 -0.138 -0.021 0.008 -0.016 -0.004 0.179 0.037 -0.055 -0.055\n-0.057 -0.091 -0.053 -0.029 -0.173 0.065 0.011 0.030 0.017 0.021 -0.111 0.052 -0.042 0.034 0.024 0.088 0.060 -0.028 -0.001 0.048 0.066 -0.042 -0.004 -0.035 0.066 0.009 0.041 0.100 -0.022 -0.021 -0.051 0.023\n-0.018 0.014 -0.043 -0.033 0.048 0.003 -0.141 -0.038 0.102 -0.130 -0.049 0.034 -0.055 -0.053 0.038 0.054 0.092 0.013 -0.018 -0.023 -0.027 -0.034 -0.055 -0.013 -0.064 0.096 0.026 -0.088 0.135 -0.038 -0.011 -0.057\n-0.099 0.044 -0.059 0.024 0.027 -0.035 -0.070 -0.008 0.000 0.007 -0.023 -0.089 0.145 -0.027 -0.039 0.090 -0.054 -0.017 0.118 -0.041 0.003 -0.050 -0.086 0.049 -0.097 0.045 0.091 -0.014 0.028 -0.062 0.009 0.016\n1.377 -1.070 0.580 -3.160 1.317 1.335 0.346 -1.142 -0.440 -0.777 0.402 2.737 1.075 0.443 0.186 2.005 -0.110 2.850 2.155 0.400 -1.177 -2.277 0.558 -1.942 -0.593 1.775 -2.015 2.702 0.752 -0.267 -1.372 2.617\n0.850 1.084 -0.392 0.063 -0.437 0.771 2.028 -1.341 3.155 0.108 -0.102 -1.188 0.836 -0.070 0.084 0.105 -0.819 0.543 -0.359 0.676 -2.201 -0.346 1.208 -0.240 1.278 -0.150 -0.381 0.179 0.090 0.346 1.403 0.362\n-0.192 0.028 -0.063 0.112 -0.212 -0.030 -0.064 0.005 0.018 0.100 0.078 -0.335 0.131 -0.106 0.254 -0.039 -0.052 -0.109 -0.150 -0.092 0.153 0.081 -0.367 0.053 -0.174 -0.059 0.084 -0.109 -0.031 0.065 0.210 -0.272\n0.073 -0.028 -0.031 0.132 -0.017 -0.053 -0.022 -0.001 0.005 -0.033 -0.026 0.072 0.072 0.026 -0.128 -0.111 0.024 0.059 0.007 0.064 -0.134 -0.020 -0.064 0.087 0.012 -0.015 -0.009 -0.034 -0.081 0.085 0.012 -0.038\n-0.313 0.204 -0.187 -0.205 0.341 -0.649 0.803 -0.285 -0.384 0.027 0.063 -0.256 0.664 -0.151 -0.476 0.128 0.370 -0.134 0.013 0.000 0.258 -0.379 0.411 -0.806 -0.292 -0.351 0.130 0.344 0.934 0.407 -0.020 0.277\n-0.035 -0.089 0.107 -0.080 -0.060 0.015 -0.066 0.040 -0.013 -0.040 -0.042 0.007 0.012 -0.062 0.007 0.043 -0.050 -0.028 -0.022 0.088 -0.047 -0.031 -0.080 0.057 -0.084 0.033 0.046 -0.013 0.052 -0.077 0.080 -0.087\n0.004 -0.042 -0.110 0.058 -0.038 0.007 -0.015 0.053 -0.003 0.010 0.057 -0.069 -0.027 0.056 0.050 -0.103 -0.046 0.041 -0.129 0.022 0.055 0.082 -0.087 -0.019 -0.030 -0.098 -0.164 -0.019 0.036 -0.014 0.010 0.157\n-0.009 0.057 0.058 -0.006 0.032 -0.016 -0.018 0.014 0.046 0.099 0.015 0.056 -0.030 0.011 -0.027 0.087 -0.007 -0.013 -0.059 -0.007 0.090 -0.061 -0.074 -0.119 -0.134 0.061 0.045 0.015 -0.030 -0.113 -0.130 -0.082\n0.042 0.060 0.003 -0.080 -0.066 0.004 -0.018 -0.056 0.051 -0.063 -0.001 0.060 -0.008 -0.103 -0.028 -0.026 0.040 -0.061 -0.119 0.030 0.004 -0.022 -0.044 -0.069 0.007 0.046 -0.035 -0.092 0.045 -0.117 -0.156 -0.008\n-0.079 -0.048 -0.036 -0.064 -0.002 0.002 -0.056 -0.028 0.104 -0.032 0.097 -0.041 -0.074 0.127 -0.126 0.003 -0.021 0.024 0.077 0.030 -0.051 -0.040 0.012 -0.024 -0.009 0.013 0.057 -0.099 -0.009 -0.016 0.047 0.003\n0.013 0.068 0.021 0.059 0.006 0.012 0.041 -0.084 -0.015 0.026 0.027 -0.034 -0.026 -0.018 -0.081 0.035 -0.076 -0.001 0.057 -0.048 -0.110 -0.125 -0.074 0.069 -0.054 0.034 -0.012 -0.097 -0.143 0.010 -0.046 0.015\n0.024 0.082 -0.152 0.114 -0.076 0.038 0.026 -0.012 0.000 -0.090 0.090 0.003 -0.023 0.010 0.018 -0.022 0.038 0.127 -0.120 0.052 -0.032 0.009 0.072 -0.074 -0.036 0.034 0.107 -0.047 -0.044 0.118 0.000 0.085\n-0.093 0.005 -0.033 -0.018 -0.017 -0.005 -0.017 -0.097 -0.091 0.065 0.026 -0.001 -0.052 0.073 -0.031 -0.061 0.136 -0.034 -0.095 0.072 0.104 0.015 -0.110 -0.030 0.084 0.003 0.083 -0.011 -0.092 -0.011 0.076 -0.060\n0.040 0.160 -0.004 -0.016 -0.057 -0.010 -0.130 0.061 -0.019 0.058 -0.021 -0.029 0.013 0.022 -0.008 0.002 0.009 0.001 0.041 -0.027 0.035 -0.034 -0.055 0.032 0.042 0.177 -0.100 -0.045 0.000 -0.043 -0.064 0.047\n0.087 -0.060 0.032 0.022 -0.009 0.057 -0.017 0.082 -0.066 -0.059 -0.044 0.012 -0.004 -0.077 0.104 0.068 0.089 -0.055 -0.010 -0.147 0.013 -0.028 0.030 -0.027 0.003 -0.016 0.153 0.021 0.010 0.004 0.038 -0.157\n-3.098 0.201 0.696 1.721 0.796 1.701 0.045 -2.650 0.626 -0.840 -2.853 2.026 1.481 -2.326 -1.676 0.561 -0.210 1.251 0.361 -0.045 -1.556 -3.496 -0.781 -3.202 1.704 0.000 -1.153 -1.027 1.261 0.464 -2.383 -2.274\n1.030 2.352 -0.477 1.025 -0.171 0.218 1.103 0.074 -0.376 0.167 -1.238 -0.967 0.169 -0.469 0.865 0.648 -0.392 -0.257 -0.416 -0.055 -0.713 -2.002 -1.590 -1.138 -0.421 -0.686 -0.918 0.308 1.700 -1.342 -0.035 1.079\n-0.355 -0.042 -0.044 0.359 0.520 0.074 -0.118 0.027 0.260 -0.073 0.252 -0.092 0.031 -0.008 -0.147 -0.227 -0.240 -0.171 0.138 0.005 -0.181 -0.057 0.153 -0.046 -0.162 -0.010 -0.354 0.060 -0.090 -0.139 0.138 0.411\n0.033 0.054 0.001 0.012 0.055 -0.113 0.029 0.068 0.106 0.070 -0.067 0.049 0.005 0.045 0.088 -0.139 0.168 -0.029 -0.059 -0.042 0.074 -0.074 -0.044 -0.028 -0.031 0.101 0.079 -0.005 0.072 -0.006 -0.046 -0.031\n-0.170 0.186 0.060 -0.071 0.158 0.191 0.601 -0.277 -0.057 -0.232 0.203 -0.117 -0.057 0.088 0.026 -0.006 0.119 -0.109 0.141 -0.159 0.178 -1.125 -0.291 -0.244 -0.055 -0.312 0.142 0.583 -0.450 0.304 0.395 -0.167\n-0.920 1.237 3.007 1.240 -1.697 0.292 0.698 -2.229 0.470 -0.645 -3.088 0.086 -0.366 -0.683 -0.967 0.419 0.160 1.377 0.352 1.211 -0.696 -3.234 -0.181 -4.249 0.996 -0.923 0.304 -2.029 -1.337 4.635 -0.298 -3.083\n0.453 0.696 -0.379 -0.472 -0.053 0.819 1.268 -0.092 -0.106 0.433 -2.193 -0.472 0.078 -0.575 -1.927 5.421 -0.037 0.731 -0.294 0.804 0.237 -1.061 -0.856 -0.181 -0.291 -0.472 1.518 1.044 0.898 -4.042 -0.029 -0.037\n-0.177 -0.151 -0.090 0.028 0.006 -0.075 -0.285 0.056 0.069 0.019 0.150 0.264 0.257 -0.079 -0.116 -0.073 -0.148 0.036 0.295 -0.053 0.017 0.068 0.160 -0.003 0.060 0.005 -0.043 -0.174 0.002 0.134 -0.009 -0.341\n-0.101 0.024 0.066 -0.075 -0.003 -0.047 -0.040 -0.048 0.003 0.062 -0.026 -0.080 -0.039 -0.005 0.049 0.027 -0.093 0.050 -0.083 -0.014 -0.005 0.062 0.068 -0.006 -0.018 -0.051 -0.057 0.042 -0.033 0.046 0.046 0.062\n-0.379 0.554 -0.043 0.038 0.132 0.141 0.677 -0.237 -0.275 0.162 -0.088 -0.064 0.092 -0.057 0.090 -0.083 -0.213 0.150 -0.349 -0.091 -0.166 -0.502 0.160 -0.295 -0.024 -0.215 0.322 0.144 -0.220 0.468 0.592 0.011\n-0.006 -0.050 0.086 0.010 -0.013 0.042 0.044 -0.010 -0.067 -0.009 0.041 -0.044 0.054 -0.008 -0.068 0.055 -0.059 -0.022 -0.033 0.135 0.038 0.039 0.065 -0.006 -0.051 0.046 0.120 -0.079 0.025 0.030 -0.092 -0.095\n-0.034 0.061 0.034 0.050 0.047 0.101 -0.044 0.046 0.120 0.040 -0.009 0.075 0.030 0.011 0.016 0.068 0.050 -0.074 -0.074 0.029 -0.057 -0.104 0.031 0.052 0.016 0.015 -0.017 0.048 -0.008 0.046 -0.030 -0.005\n0.015 0.023 0.068 -0.008 0.032 -0.004 0.080 -0.026 0.014 0.068 0.015 -0.003 0.053 0.080 -0.020 -0.002 0.018 -0.122 -0.046 0.032 -0.084 0.076 0.048 0.009 0.048 -0.019 0.116 0.032 -0.043 -0.059 0.099 -0.069\n-0.031 -0.098 0.139 -0.028 -0.120 -0.018 -0.225 0.034 0.057 -0.004 0.037 0.088 0.049 -0.088 0.059 -0.031 0.119 0.039 0.085 0.060 0.024 -0.026 0.020 0.021 0.064 0.006 -0.061 0.003 -0.054 -0.165 0.004 0.100\n-0.031 -0.050 -0.016 0.046 0.043 0.118 -0.038 -0.085 0.071 -0.090 0.020 0.037 0.057 -0.007 0.075 -0.020 0.039 0.062 0.079 -0.046 0.021 0.063 -0.014 -0.114 -0.059 0.044 -0.027 -0.061 0.013 0.046 0.089 0.045\n-0.108 0.029 0.094 -0.004 0.039 -0.025 -0.088 0.003 -0.015 -0.049 0.049 0.014 0.000 -0.013 -0.016 0.063 -0.090 -0.006 -0.001 -0.057 -0.026 0.141 0.030 -0.043 -0.038 0.089 -0.019 -0.005 -0.022 -0.080 -0.084 0.003\n-0.115 0.070 0.102 0.090 0.021 0.011 0.032 0.028 -0.005 -0.061 0.085 0.043 0.076 -0.019 0.014 -0.020 -0.040 0.076 -0.016 -0.056 -0.036 -0.021 -0.051 -0.098 0.030 -0.033 -0.080 -0.053 -0.086 0.001 -0.024 0.057\n-0.047 -0.020 0.037 0.065 -0.067 -0.075 -0.077 -0.103 -0.003 -0.047 0.068 0.077 0.063 0.042 -0.212 0.082 -0.030 -0.056 -0.070 -0.025 -0.124 -0.095 0.037 -0.047 -0.034 -0.064 -0.019 0.027 -0.022 -0.023 -0.035 0.037\n0.028 0.033 0.044 -0.062 -0.013 -0.118 -0.124 -0.058 0.064 -0.183 -0.081 -0.003 0.055 -0.151 -0.022 0.051 0.032 0.011 -0.147 -0.023 -0.111 0.014 0.047 -0.047 0.059 0.017 -0.116 -0.053 -0.098 0.079 -0.052 -0.045\n0.089 -0.035 0.001 -0.008 -0.004 -0.109 -0.018 -0.082 0.009 0.029 0.161 0.048 -0.032 0.110 0.032 0.054 0.076 0.018 0.042 0.069 -0.010 0.060 -0.097 0.019 -0.028 -0.028 -0.052 -0.038 -0.016 -0.014 -0.223 0.060\n0.640 -2.063 -0.257 -2.870 -1.518 -0.311 0.373 -1.756 -1.844 -0.571 -1.480 -0.833 2.529 1.052 -1.558 -1.317 0.354 -1.352 -2.099 0.488 -0.567 -0.638 -1.165 -0.019 2.659 0.569 -2.794 -0.841 -1.850 -0.055 -0.278 -1.513\n-0.822 0.984 -1.012 -1.221 -0.634 -0.241 0.788 -0.533 0.520 0.846 -0.107 1.406 -0.211 2.107 -0.576 1.052 -0.671 -0.516 -1.426 -0.215 -0.144 -0.083 -0.086 -0.256 1.838 -0.781 0.822 0.273 -0.341 0.878 0.001 -0.320\n-0.010 0.088 0.000 -0.062 -0.056 -0.136 -0.171 0.070 0.122 0.031 0.013 -0.168 0.056 0.213 0.075 0.029 0.076 0.051 0.052 0.201 -0.027 -0.102 -0.033 -0.052 0.165 0.085 -0.019 0.065 0.040 -0.125 0.139 -0.127\n-0.042 -0.017 0.058 0.125 -0.030 0.015 0.157 0.012 0.063 -0.002 -0.036 -0.041 0.049 -0.081 -0.071 0.114 -0.005 -0.057 -0.004 -0.076 0.004 0.112 -0.001 0.058 -0.056 0.019 0.087 0.013 -0.046 -0.034 0.096 0.053\n-0.351 0.084 -0.289 -1.470 -0.359 0.448 0.941 0.255 -0.090 0.186 -0.225 1.047 0.213 0.359 -0.570 0.490 -0.024 0.030 0.681 -0.116 0.057 -0.827 0.282 -0.172 0.662 -0.151 -1.122 -0.326 0.432 0.210 0.496 0.192\n0.030 0.047 -0.046 -0.094 -0.005 -0.069 -0.022 0.067 -0.062 0.086 -0.043 0.040 0.045 -0.100 0.036 0.026 -0.049 0.074 0.050 -0.070 0.026 0.043 -0.099 0.062 0.011 -0.016 0.054 -0.108 -0.044 0.035 -0.087 -0.001\n0.012 0.100 0.004 0.011 0.021 0.072 0.015 -0.024 0.006 -0.054 -0.130 -0.004 0.007 -0.036 -0.058 0.027 0.113 -0.028 0.033 0.000 0.083 -0.055 0.094 0.034 -0.017 -0.041 0.128 -0.071 0.035 -0.017 -0.099 -0.078\n-0.012 0.035 -0.074 0.133 -0.003 0.022 -0.006 0.065 0.067 -0.019 0.012 0.068 -0.002 -0.058 -0.050 -0.007 0.060 -0.023 0.031 -0.142 0.064 0.064 0.028 0.068 -0.045 0.052 0.099 0.005 0.045 -0.009 -0.104 0.105\n-0.099 -0.042 0.000 -0.005 -0.158 -0.114 -0.070 -0.081 -0.015 -0.021 -0.019 0.117 -0.004 0.068 0.041 0.030 0.059 0.031 0.013 -0.057 -0.127 -0.067 -0.046 0.032 0.042 0.041 -0.032 0.027 0.056 -0.014 -0.094 -0.028\n0.004 -0.089 0.126 0.008 0.017 -0.152 0.032 -0.119 -0.025 -0.075 0.055 -0.074 -0.064 -0.032 -0.091 -0.026 -0.086 -0.066 -0.041 -0.054 0.039 -0.006 -0.090 0.095 -0.063 0.019 0.043 0.062 0.066 -0.068 -0.060 -0.042\n0.018 -0.061 0.016 -0.042 0.053 0.042 -0.015 -0.004 -0.191 0.060 -0.018 -0.013 -0.080 -0.044 -0.027 -0.029 0.071 0.048 -0.105 -0.038 0.091 -0.052 0.024 0.064 -0.049 -0.011 -0.048 0.101 -0.098 -0.074 0.031 -0.090\n0.098 0.046 0.027 0.086 -0.040 0.010 0.031 -0.138 0.017 0.094 0.013 0.016 -0.031 0.093 -0.025 0.028 -0.101 -0.008 -0.026 0.033 0.109 -0.028 0.026 -0.019 0.102 0.007 0.079 -0.103 0.000 0.036 0.037 0.050\n-0.079 0.043 0.048 -0.086 0.090 0.058 0.008 -0.024 -0.007 0.079 0.025 0.036 0.082 0.072 0.094 0.051 0.023 0.133 -0.107 0.118 -0.157 0.114 0.022 0.003 -0.001 -0.081 0.002 0.028 -0.063 -0.011 0.011 -0.079\n0.078 0.026 0.105 -0.084 -0.123 -0.021 -0.100 0.031 -0.060 -0.053 0.034 0.093 0.044 -0.075 0.016 0.073 0.045 -0.135 -0.038 0.067 0.057 -0.117 -0.027 0.078 -0.109 -0.037 -0.149 -0.003 0.178 -0.095 -0.141 -0.046\n-0.020 0.054 -0.016 0.055 -0.069 0.046 0.008 -0.089 -0.103 -0.020 0.142 -0.047 -0.040 -0.162 0.041 0.092 -0.109 0.018 0.043 0.021 -0.024 -0.095 0.102 -0.005 -0.099 0.088 -0.071 -0.011 -0.037 0.020 0.063 -0.065\n2.446 -0.899 1.615 -0.299 -1.215 -1.574 0.153 -1.677 0.504 -2.265 1.673 -5.493 2.419 -3.047 -0.139 1.485 -0.938 -3.624 -2.446 -1.147 2.543 -3.065 1.206 -1.795 -4.595 0.860 -1.159 0.971 2.068 0.654 -2.438 2.545\n1.431 2.325 -0.813 1.008 -0.351 0.400 1.427 -0.436 -0.385 -0.380 -1.004 -0.968 -0.247 -3.444 -0.266 0.186 -0.049 0.298 -0.410 -0.467 0.087 1.393 1.426 -0.834 0.929 -0.738 0.813 0.065 0.617 0.846 0.344 -2.253\n0.016 -0.398 -0.033 -0.238 0.131 0.246 0.105 -0.004 0.071 0.034 0.034 0.139 0.051 0.175 0.523 0.019 0.291 0.320 0.299 0.232 0.007 0.125 -0.470 0.002 0.111 -0.109 -0.063 -0.005 -0.096 0.000 0.079 0.273\n-0.125 -0.125 -0.040 -0.021 0.050 0.084 -0.031 0.015 0.109 0.128 0.041 -0.063 -0.049 0.166 0.063 0.026 -0.026 0.040 -0.018 0.139 -0.051 0.076 0.087 -0.032 -0.041 0.026 0.127 -0.015 0.183 0.043 -0.013 0.065\n0.222 -0.011 -0.175 0.354 0.097 -0.070 0.837 -0.774 0.685 -0.393 0.313 0.136 0.227 0.424 -0.651 0.139 0.132 0.005 -0.297 -0.046 0.231 -0.848 0.226 -0.509 -0.725 0.105 -0.035 0.446 0.179 0.739 0.117 0.422\n1.612 -1.123 1.606 1.745 -0.577 -3.141 0.448 -1.819 1.020 -0.416 1.494 1.340 0.952 0.637 -0.544 -0.519 0.203 -2.894 -0.795 -2.897 1.987 -2.265 -0.395 -1.656 -1.743 1.082 -2.695 0.625 1.357 0.398 -1.087 2.870\n0.341 1.105 -0.933 0.236 -0.031 0.654 0.451 -0.767 1.264 -0.287 -1.130 -0.911 0.280 0.514 -0.896 0.859 -0.159 0.982 -0.530 1.470 0.228 -0.744 1.338 -0.113 0.024 -0.886 0.095 0.144 0.622 0.014 -2.649 -0.191\n0.074 -0.044 -0.034 -0.079 0.056 0.029 -0.087 0.055 0.092 -0.003 0.084 -0.076 0.096 -0.146 -0.162 0.015 -0.399 0.192 -0.068 -0.122 -0.117 0.018 0.192 0.040 -0.006 0.211 0.090 0.125 0.044 0.000 -0.231 -0.157\n0.020 0.001 -0.055 -0.020 0.092 -0.037 -0.046 -0.049 -0.003 0.002 -0.113 -0.023 0.060 0.073 -0.028 0.030 0.081 -0.117 -0.102 -0.028 -0.015 0.050 0.035 -0.039 0.025 -0.056 -0.103 -0.036 0.062 -0.056 0.108 0.042\n-0.104 0.216 -0.278 -0.115 0.485 0.136 0.597 -0.519 -0.263 0.139 0.027 -0.352 0.209 -0.064 -0.309 0.086 0.157 -0.418 -0.228 -0.116 -0.089 -0.972 0.610 -0.549 -0.135 -0.333 0.013 0.119 0.332 0.651 0.250 0.099\n2.751 1.905 2.357 1.549 -1.580 2.067 1.152 -2.258 0.896 -1.612 3.741 -1.298 3.060 -0.797 1.362 2.901 0.379 -2.088 -4.647 -3.302 -1.543 -0.039 0.598 1.090 -0.552 1.800 0.523 3.468 0.552 1.875 3.251 1.381\n0.761 2.409 -0.446 -0.492 -0.295 0.760 1.153 -0.306 -0.272 -0.547 -1.639 -0.892 0.780 -0.737 0.691 0.471 -0.290 -0.003 -0.853 0.179 -0.488 -0.680 1.295 -0.744 -0.009 -0.680 0.206 -0.109 1.598 0.283 -0.346 1.109\n-0.022 -0.105 -0.100 -0.077 -0.017 -0.203 -0.086 0.022 0.091 -0.171 0.106 0.125 0.075 0.118 -0.101 -0.070 0.052 0.107 0.020 -0.080 -0.198 -0.019 0.216 -0.116 0.117 0.247 -0.477 0.163 -0.030 -0.036 -0.205 -0.151\n-0.024 0.007 -0.060 -0.050 -0.022 -0.111 -0.036 -0.036 -0.089 -0.019 0.127 -0.108 -0.057 -0.077 0.038 0.014 -0.023 0.030 -0.081 -0.099 0.024 0.005 -0.115 0.016 0.102 0.058 0.099 0.052 -0.044 -0.120 0.016 -0.059\n-0.035 -0.433 -0.019 0.264 0.010 0.112 0.417 0.215 -0.304 -0.357 0.680 0.043 0.357 0.101 -0.429 0.039 0.170 -0.234 -0.798 -0.139 0.140 -0.941 0.368 -0.202 -0.109 -0.072 0.167 0.439 0.240 0.523 0.578 -0.010\n1.329 -1.637 1.996 0.491 0.827 -3.239 -0.335 3.131 0.480 -1.892 2.032 3.377 -0.469 -0.391 -1.292 2.770 1.128 -2.557 -0.869 -3.352 -1.046 -1.202 -2.688 -0.900 -0.492 3.463 1.843 2.954 0.739 -0.887 -0.431 0.008\n-0.802 1.140 -0.130 -1.596 0.055 1.567 1.083 -0.029 -0.137 -0.075 -1.634 -0.981 0.361 0.020 -0.819 -0.039 -0.664 -0.069 -1.121 0.663 0.049 -0.424 -1.746 -0.465 -0.237 -0.219 -3.722 0.443 1.272 -1.448 -0.492 0.248\n-0.020 -0.038 -0.019 0.149 -0.097 0.012 0.090 0.005 -0.157 -0.028 -0.038 -0.049 -0.148 -0.042 -0.033 0.058 0.090 -0.022 -0.032 -0.010 -0.068 0.009 0.014 0.065 -0.007 0.023 -0.032 0.015 0.003 0.085 0.046 -0.047\n0.017 -0.049 -0.026 0.103 -0.022 -0.009 -0.060 -0.008 -0.025 -0.020 -0.089 -0.060 -0.016 0.041 -0.128 -0.008 -0.036 -0.114 0.046 -0.100 0.001 -0.071 0.063 -0.071 0.109 -0.100 -0.112 0.051 -0.039 -0.064 0.055 0.003\n-0.591 0.609 -0.199 0.078 0.170 0.542 0.763 -0.082 -0.178 0.163 -0.282 0.157 0.001 -0.118 -0.372 0.044 -0.117 0.165 -0.158 -0.134 -0.125 -0.851 -0.032 -0.364 -0.009 -0.338 0.194 0.101 -0.005 0.655 0.274 0.057\n-0.570 2.428 -0.950 1.994 -1.474 -5.622 0.835 0.849 1.719 -2.508 -4.793 0.242 -0.404 -1.475 -0.267 -4.081 2.794 0.025 -1.163 -2.889 -0.010 -4.562 -4.434 -3.217 -0.075 1.757 -0.089 -1.109 0.890 2.107 -0.965 0.925\n1.051 -0.240 -0.289 -0.478 -0.444 0.456 1.242 0.055 -0.497 0.023 -0.564 -0.292 -1.966 -0.412 0.354 1.111 -0.168 0.244 -2.045 0.169 -0.755 -0.925 -1.477 -0.866 -0.633 -0.172 -3.595 0.196 1.739 -2.730 0.183 1.780\n-0.134 0.171 -0.085 -0.094 0.084 0.067 0.167 -0.179 -0.077 0.062 -0.149 -0.021 -0.053 -0.017 -0.074 0.077 0.097 -0.120 -0.431 0.175 0.030 0.013 0.073 0.034 0.004 0.015 -0.136 -0.044 0.071 -0.142 0.145 0.248\n-0.012 0.008 -0.123 -0.055 -0.111 -0.067 0.067 0.039 -0.150 -0.058 0.009 -0.015 -0.008 -0.058 0.163 -0.018 -0.126 -0.085 0.066 -0.092 -0.067 -0.030 0.121 -0.065 -0.022 -0.085 0.047 0.045 -0.037 0.054 0.075 0.001\n-0.174 0.309 -0.104 0.059 -0.117 0.039 0.677 -0.138 -0.118 -0.214 0.552 0.009 0.025 0.149 -0.243 -0.306 0.099 0.079 0.001 -0.136 0.070 -1.376 -0.006 -0.175 0.090 -0.235 0.025 0.087 -0.095 0.473 0.397 -0.030\n-0.038 1.675 0.014 1.769 -0.751 -0.267 -0.156 -2.041 0.259 1.061 -0.515 0.028 -0.565 -0.478 -1.857 -0.833 -0.298 3.483 0.029 -3.469 -0.222 -1.192 -2.067 -1.737 -0.547 2.504 -3.246 1.907 1.021 0.683 -1.771 -0.387\n-1.944 0.494 -0.428 -0.697 0.356 0.364 0.868 -0.610 -0.063 -0.300 -0.838 0.485 0.421 0.089 -0.497 0.111 -0.564 0.319 -0.790 0.726 0.404 -0.321 2.426 -0.256 0.087 -0.290 0.408 -0.013 0.859 0.322 0.148 -0.006\n0.102 -0.122 -0.023 0.052 0.219 0.184 -0.042 0.192 -0.333 -0.081 0.001 -0.428 0.312 0.255 0.134 0.119 0.183 -0.090 0.334 -0.066 0.091 -0.009 0.147 0.134 -0.021 -0.041 0.173 0.065 -0.310 0.291 -0.014 -0.112\n-0.080 0.079 -0.029 -0.098 -0.055 0.066 -0.028 -0.133 0.020 -0.011 0.007 -0.027 0.008 0.039 0.023 -0.044 -0.072 -0.106 0.001 -0.013 -0.030 -0.022 -0.164 -0.090 0.037 0.009 -0.076 -0.011 -0.055 0.011 -0.001 0.024\n-0.339 0.603 -0.051 0.778 0.112 -0.060 0.714 -0.196 -0.179 0.463 -0.358 0.113 0.259 0.177 -0.155 -0.610 -0.359 0.033 -0.144 -0.224 0.179 -0.497 -0.543 -0.586 0.273 -0.395 -0.805 0.187 0.120 0.186 0.864 0.027\n-2.151 1.161 -0.953 0.831 -1.309 1.073 0.523 -0.564 0.778 2.331 0.808 2.101 0.308 1.292 0.386 0.337 1.412 0.315 -1.883 -3.553 -1.028 0.333 1.760 -1.488 -0.654 0.866 0.182 2.231 1.157 -3.614 -1.040 -2.146\n-1.535 0.740 -0.541 -0.448 -0.004 -0.345 1.132 0.137 0.254 -0.123 -0.192 0.317 -0.067 0.416 0.104 0.497 -0.388 -0.509 -1.461 -0.148 -0.931 -0.040 1.579 -0.759 0.214 -0.407 -0.052 -1.781 0.791 0.474 -0.167 -0.971\n0.291 0.113 0.260 0.233 -0.219 -0.107 -0.247 0.018 0.047 -0.060 0.024 -0.637 -0.192 -0.086 -0.125 0.040 0.027 0.233 0.035 -0.239 -0.107 -0.172 -0.253 -0.184 -0.240 -0.066 0.074 0.229 -0.021 0.047 -0.238 0.027\n-0.067 -0.040 0.047 -0.070 0.042 0.076 -0.056 -0.035 0.008 0.012 0.010 -0.010 0.048 0.078 -0.083 0.039 0.027 0.100 0.014 -0.069 0.010 0.014 0.096 0.015 -0.079 -0.086 0.010 -0.047 -0.082 -0.063 -0.023 0.081\n-0.143 0.550 -0.018 -0.633 -0.372 0.423 0.763 0.033 0.143 0.200 0.103 0.622 0.325 0.364 -0.333 -0.135 0.189 0.556 0.217 -0.087 0.051 -0.979 -0.444 -0.158 0.671 -0.320 -0.711 0.302 0.317 -0.345 0.959 -0.420\n0.955 1.243 1.407 0.927 0.235 -1.817 -0.022 -1.046 2.749 -0.388 -3.468 0.292 3.187 1.765 -0.816 0.140 1.739 2.014 -1.632 -1.851 -1.351 -2.028 -2.392 -1.421 2.042 2.664 -2.496 2.436 -0.523 -1.351 4.183 -0.410\n-1.973 1.102 -0.487 -0.012 0.344 0.405 0.906 -0.836 0.326 -0.166 -0.817 0.936 1.262 -0.693 -0.552 -0.536 -0.568 0.377 -0.582 0.724 0.180 0.114 1.687 0.010 0.039 -0.367 0.330 0.417 0.669 0.153 0.340 -0.100\n0.005 0.036 -0.039 0.174 0.047 -0.060 -0.126 -0.053 0.017 -0.123 0.080 -0.221 -0.028 -0.290 0.036 0.021 0.065 -0.046 -0.071 -0.024 -0.131 -0.059 0.058 -0.012 -0.078 -0.106 0.071 -0.104 0.109 0.003 -0.053 0.076\n0.022 -0.116 -0.002 0.112 -0.003 0.052 -0.030 0.014 -0.086 0.208 -0.081 0.009 -0.005 -0.083 0.020 -0.073 -0.143 -0.105 0.030 -0.091 -0.029 -0.036 -0.099 -0.017 -0.053 0.012 0.060 -0.048 -0.034 -0.019 0.018 0.067\n-0.116 0.406 -0.008 0.127 -0.097 0.283 0.941 -0.384 -0.367 0.310 -0.320 1.041 0.329 0.192 -0.562 -0.304 -0.331 0.026 -0.433 -0.079 0.259 -0.772 -0.550 -0.304 0.650 -0.596 -1.255 -0.257 0.184 0.042 0.504 -0.261\n0.019 0.014 0.080 0.027 0.070 -0.058 0.028 0.010 -0.085 0.031 0.033 0.113 -0.020 -0.080 0.012 0.064 0.018 0.032 0.048 0.067 0.085 0.112 -0.024 -0.042 0.018 -0.032 0.034 0.013 0.007 0.056 0.142 0.034\n0.018 0.016 -0.144 -0.042 -0.015 -0.021 0.095 0.077 -0.007 -0.053 0.038 0.004 0.155 0.013 0.073 -0.067 0.066 -0.038 0.003 -0.080 -0.075 -0.044 -0.044 -0.021 0.020 0.059 -0.119 0.027 0.000 -0.034 0.058 -0.046\n-0.057 0.053 0.060 0.129 0.077 0.063 -0.069 -0.038 -0.038 0.142 -0.091 -0.066 -0.092 0.018 -0.032 -0.137 -0.005 -0.040 0.108 0.024 -0.014 -0.027 -0.061 -0.063 0.017 -0.021 0.088 -0.031 -0.041 0.026 -0.070 -0.041\n-0.091 -0.017 0.049 -0.018 -0.084 0.008 -0.113 -0.067 -0.004 0.006 0.125 0.057 -0.036 -0.025 -0.013 0.141 0.179 0.080 -0.022 0.038 -0.070 0.010 0.002 -0.002 0.039 0.055 0.074 0.025 0.117 0.009 0.072 0.039\n-0.053 -0.116 -0.063 0.060 0.006 0.080 -0.002 0.080 0.032 0.061 0.139 0.008 0.049 -0.013 -0.080 -0.004 0.018 -0.088 -0.085 -0.058 -0.022 0.071 0.072 -0.026 -0.054 0.064 -0.027 0.015 -0.033 -0.030 0.058 -0.050\n0.028 0.062 0.066 0.101 0.030 -0.048 0.071 -0.010 -0.022 -0.060 -0.043 -0.016 0.091 0.154 -0.037 -0.067 -0.003 0.105 0.102 0.040 0.041 -0.005 -0.017 0.180 -0.058 0.038 0.079 -0.017 -0.020 -0.028 0.047 -0.060\n-0.034 -0.067 -0.048 -0.078 0.003 -0.119 -0.041 -0.047 -0.030 -0.078 0.065 -0.085 0.022 -0.046 -0.090 0.002 -0.063 0.019 -0.045 0.040 -0.060 0.090 0.010 -0.081 -0.009 0.020 0.003 0.053 0.042 -0.142 0.046 -0.023\n-0.004 -0.081 -0.007 -0.069 0.050 0.018 0.013 -0.052 -0.077 -0.071 0.105 0.034 0.011 0.125 -0.181 -0.110 -0.001 -0.082 0.023 -0.085 -0.053 0.054 -0.005 0.103 -0.003 0.004 -0.010 -0.042 0.005 0.041 0.029 -0.105\n-0.014 0.024 0.034 -0.011 -0.008 -0.195 -0.110 -0.062 0.032 -0.013 -0.084 0.052 -0.096 -0.113 -0.072 0.103 0.008 0.076 -0.021 -0.022 -0.092 0.080 -0.038 0.041 0.028 -0.075 0.017 -0.010 -0.030 0.009 0.000 -0.013\n0.031 0.007 -0.085 -0.073 -0.137 0.030 0.130 -0.005 0.089 0.011 -0.060 0.020 -0.099 -0.127 0.004 -0.064 -0.062 0.047 0.048 -0.034 -0.052 -0.111 -0.016 0.057 0.002 -0.042 0.051 0.045 0.017 -0.135 0.048 -0.056\n-0.115 -0.115 -0.052 0.009 -0.010 0.026 0.119 0.039 0.030 0.018 0.026 0.145 0.028 -0.041 -0.058 -0.006 -0.037 0.057 0.110 -0.062 -0.020 -0.053 0.091 0.070 0.046 -0.026 0.000 0.032 0.057 -0.012 -0.006 0.125\n0.053 0.023 0.096 0.065 -0.012 -0.002 -0.040 -0.074 -0.010 0.016 0.030 0.013 0.081 -0.064 0.033 0.082 0.106 -0.007 -0.028 0.038 0.000 -0.105 -0.010 -0.049 0.066 -0.004 0.009 -0.039 0.007 -0.085 0.047 -0.010\n0.130 -0.064 0.175 -0.084 -0.005 0.148 -0.082 -0.047 0.063 0.031 0.013 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1.396 0.188 0.381 0.802 -0.485 0.456 -0.435 0.245 -0.208 0.165 -0.023 -0.126 -0.306 -0.484 -1.102 0.072 -0.503 1.088 -0.287 -0.149 -0.354 0.204 0.337 0.458 0.316\n-0.128 -0.429 1.424 0.939 1.885 0.525 -0.038 -0.203 1.422 -0.676 0.620 -0.252 -0.633 -0.087 -0.636 -0.369 -0.017 -0.153 0.653 -0.554 -0.039 0.306 0.969 0.944 0.727 -0.279 -0.727 0.644 0.012 0.005 0.406 0.077\n0.262 0.244 0.619 -0.551 0.451 0.330 -0.536 1.318 -0.135 -0.520 -0.519 0.573 -0.142 -0.029 -0.253 0.445 1.069 -1.100 -0.464 -0.595 0.598 0.392 0.102 0.673 -0.373 -0.820 0.886 -0.163 0.216 0.184 -0.974 -0.770\n-0.528 -0.688 -0.047 0.568 0.103 0.131 1.052 -0.268 -0.081 0.644 0.048 -0.414 -0.025 -0.913 0.961 0.367 0.346 -0.203 0.814 0.158 0.138 -0.558 0.085 -0.513 -0.231 0.778 -0.170 -1.110 -1.504 -1.227 -0.800 -0.414\n-0.483 -0.165 0.418 1.108 0.332 -0.390 0.837 -2.013 -1.749 -0.174 0.560 -1.015 -0.784 0.513 0.444 1.188 -1.609 0.404 -0.605 -0.979 0.922 -0.388 1.058 0.418 0.095 -1.006 -0.239 0.941 -0.486 2.293 1.199 0.164\n1.280 0.961 -0.255 -0.810 -0.540 0.250 -0.366 0.464 0.093 -0.809 0.825 0.078 0.890 0.064 0.545 1.156 0.265 -0.631 0.300 -0.993 -0.039 0.622 0.095 0.837 -0.892 -1.010 0.194 0.726 -0.176 -0.791 0.392 2.048\n0.408 0.082 0.583 0.275 -0.688 -0.261 -0.157 -0.186 1.717 -0.880 -0.259 1.542 0.288 -1.605 0.913 1.930 0.105 -0.569 0.115 -0.795 0.355 0.079 -0.373 0.011 -1.006 0.381 0.296 -0.741 -1.590 0.060 -0.429 0.899\n0.098 0.089 0.357 -0.813 1.122 0.790 -0.573 0.773 0.228 -0.039 0.338 0.315 0.587 0.431 0.105 -0.442 0.206 -0.158 -0.026 0.156 0.258 1.131 0.848 0.159 -0.197 -0.774 0.396 1.104 -0.442 -0.631 -0.648 -0.066\n-0.624 -0.531 0.017 0.118 0.291 -0.521 -0.316 -0.574 0.061 -0.550 0.297 0.110 0.266 0.378 -1.245 -1.084 0.510 -0.069 -0.343 -1.549 0.338 -0.296 -0.313 0.568 1.443 -0.180 0.288 -0.078 1.035 0.360 0.644 -0.883\n0.105 0.109 -0.143 -0.513 -0.520 0.343 -0.081 -0.260 -0.653 0.567 0.585 0.319 0.130 0.587 -1.539 -1.389 -0.520 0.346 -1.050 0.430 -0.912 0.096 -1.216 0.218 0.461 0.323 -0.160 -0.772 0.256 0.299 0.021 -0.591\n2.377 1.333 0.244 0.640 -0.010 -0.516 0.999 1.531 -0.774 0.477 -1.305 -0.597 0.840 0.401 -0.377 -0.360 -0.290 0.846 -0.672 -0.022 1.401 -0.457 -0.186 -0.966 -0.718 1.278 -1.711 0.172 0.377 0.421 -0.342 0.494\n0.002 -0.206 0.665 1.225 0.774 -1.366 0.562 0.900 -0.970 -0.763 -0.581 -0.001 -0.471 0.084 0.266 -0.159 -0.239 0.260 0.095 -0.191 0.790 -0.161 0.598 0.662 0.621 -0.154 -0.396 -0.349 -0.930 -0.545 0.663 0.493\n-0.845 -0.466 0.078 0.461 -0.764 -0.264 -0.440 -0.633 -0.719 0.606 -0.275 -1.660 0.427 0.804 -0.202 0.103 -1.580 1.087 -0.076 0.470 0.509 -0.672 -1.300 -0.270 0.755 0.886 -1.090 -0.136 0.033 0.151 0.733 0.044\n-0.014 -0.545 -0.513 -1.007 -0.192 -1.498 0.302 -0.065 -0.561 0.198 -0.758 0.523 0.532 0.676 -0.410 0.153 -0.762 -0.702 1.159 -0.622 0.199 -1.476 -0.827 -0.593 -0.384 0.759 0.583 -1.325 0.266 -0.259 0.605 -0.800\n-0.656 -0.012 -0.555 -0.825 0.420 0.385 -0.390 -0.903 -0.240 0.030 -0.631 -0.334 -0.826 -0.146 -0.574 0.094 -0.838 1.627 -1.501 0.080 1.078 0.537 -0.811 -0.543 0.948 0.625 -0.451 0.055 0.693 1.041 0.382 -0.094\n0.063 -0.389 2.008 0.152 -0.952 0.982 0.419 0.105 -0.481 0.319 -0.228 0.172 -1.043 0.271 -0.753 -0.262 -0.579 0.198 -1.373 -0.068 -0.114 -0.904 -0.591 -0.212 -0.748 -0.710 -0.796 0.128 0.745 1.191 0.483 -1.493\n-1.081 -0.927 -0.435 0.493 -0.235 -0.181 0.603 -0.142 0.625 -0.219 -0.377 -0.186 -0.275 -0.426 0.329 0.950 0.141 1.187 1.344 -0.778 0.935 0.017 0.470 1.101 0.247 -1.112 -0.989 1.639 0.511 -0.346 0.722 0.221\n0.518 -0.735 -0.002 0.562 0.578 -0.806 -0.436 0.160 0.342 0.842 -0.984 0.089 1.007 -0.595 0.257 -0.070 -0.701 -0.514 -0.739 1.560 0.085 1.490 0.540 0.740 -0.380 -0.094 -2.381 -0.055 -0.267 -0.123 -1.059 0.520\n0.257 -0.991 0.964 -1.284 0.172 1.184 -0.339 0.152 0.582 0.589 0.441 -0.241 -0.123 -0.929 -0.862 -0.829 -0.198 0.254 -0.688 0.187 -0.637 -0.037 -0.046 0.393 -0.558 0.332 0.222 0.335 -0.171 0.429 -0.685 -0.491\n\nb2 (layer 2 biases), shape 32:\n-0.392 0.498 0.596 0.215 0.153 0.295 -0.119 -0.567 -0.248 -0.377 -0.039 -0.658 -0.190 -0.172 0.020 0.553 -0.024 0.309 -0.622 -0.029 0.322 0.389 0.256 0.168 0.261 -0.317 0.326 -0.356 -0.203 -0.057 0.613 0.001\n\nW3 (output layer weights), shape 32 x 5: one line per row\n-0.027 -0.312 -1.843 1.628 -1.030\n-2.055 0.992 -0.888 1.189 -0.306\n0.469 0.459 2.307 -1.683 0.191\n-0.007 0.182 2.057 -0.317 -1.147\n1.007 -0.045 0.848 0.964 -2.200\n0.543 -1.586 0.034 1.139 1.092\n-1.045 1.888 -0.564 -0.036 -1.226\n0.278 -0.321 -2.498 0.664 0.469\n0.718 -0.094 0.302 1.088 -1.462\n0.740 0.334 -3.070 1.267 0.856\n0.593 -1.454 1.640 -0.284 -0.301\n-0.117 -0.931 -0.578 1.452 -0.871\n-1.649 -1.039 -0.972 1.325 0.710\n0.147 -2.190 0.991 -1.094 1.858\n0.262 1.662 -0.822 0.481 -1.710\n-0.346 1.544 0.321 0.602 -1.490\n-1.061 -1.254 0.200 2.490 -0.338\n0.790 2.144 -1.525 -0.598 0.380\n-0.192 1.341 -0.237 -0.699 -1.203\n0.889 1.299 -2.927 -0.321 1.556\n0.282 -0.788 1.134 1.461 -0.620\n0.571 -1.351 0.655 1.414 -0.727\n0.783 -1.474 1.958 0.603 -0.649\n1.049 -1.081 0.525 1.486 -0.393\n-0.304 0.034 2.502 -0.142 -0.073\n0.209 1.893 -0.742 -2.491 -0.386\n-1.000 -0.939 0.639 1.041 0.045\n1.090 0.182 0.221 0.697 -1.311\n-0.050 -1.608 -1.018 0.033 2.500\n1.305 -0.997 0.585 -0.371 0.521\n-0.501 1.326 -1.247 -1.168 2.223\n1.439 2.019 -0.268 -0.516 -2.023\n\nb3 (output layer biases), shape 5:\n-0.873 0.703 0.712 0.595 -0.092\n```"
  466. }
  467. ]
  468. }
  469. },
  470. "rs_tmp_7mxol4y4r07": {
  471. "id": "rs_tmp_7mxol4y4r07",
  472. "messageId": "msg-1793658666-v6T7ExE0ZjdekXxhl4x0",
  473. "data": {
  474. "id": "rs_tmp_7mxol4y4r07",
  475. "type": "reasoning",
  476. "status": "completed",
  477. "content": [
  478. {
  479. "type": "reasoning_text",
  480. "text": "Kimi needs to solve this. Should inspect massive weights manually, identify game from structure. Should respond specified order, observations quotes, reasoning, game description confidence. Should deeply analyze weights mapping cells channels, strong W1 patterns. I have 500 lines in prompt unindexed but sequential. Should decode positions of large weights. Should determine likely grid game among classic (Snake, Pacman, Frogger, etc). Observation channels agent, moving objects, reward targets, obstacles, prev. 10x10 border inner 8x8. RL games likely \"Snake\", \"Pacman\", \"Catch\", \"Frogger\", \"Sokoban\"? Should infer from W1 strong sparse structured input rows. Most weights near 0.1 except specific cells/channels large, suggesting learned features at certain cells. Should map which channels large and spatial pattern.\n\nI'll systematically parse W1 line indices. Each cell has 5 consecutive rows: ch0 agent, ch1 moving, ch2 reward, ch3 obstacle, ch4 prev. Observed repeating pattern in W1: for many cells, lines 1,2 large then line3 moderate line4 small line5 medium? Looking at around first big at after ~55 small lines. I'll identify.\n\nAt start rows 0-? cell border all small (~0.2). First huge line:\n\"1.706 -3.242 0.524 ... 4.081 ...\" then next \"-1.161 -0.011 ... 2.453 ...\" then \"0.202 ... -1.490 ...\" then \"0.057 ...\" small then \"0.487 ...\". Then next huge \"1.694 3.205 ...\" etc. This looks 5 rows for a cell: ch0 huge, ch1 medium-large, ch2 moderate with special unit6 -1.49, ch3 tiny, ch4 medium ~0.5. Next cell ch0 huge, ch1 large, ch2 special unit6 -2.361, ch3 tiny, ch4 medium. So first large cells likely inner playable cells at row1 col1 etc. Border cells all small. This pattern: ch0 agent and ch1 moving and ch4 previous have large weights; ch2 reward perhaps modest except special unit 6; ch3 obstacles small at inner cells? Should map.\n\nI'll index precisely to infer spatial channels. There are 100 cells. Border 36 cells. Inner 64. For each inner cell likely 5-line pattern. First big cell after initial border + start row1? Cell indices: row0 cells 0-9 => 50 W1 lines. Row1 col0 cell10 => lines50-54, row1 col1 cell11 => lines55-59. So first big at line55 likely exactly. I can count initial small rows to verify. Prompt first ~? There are 55 lines before first huge. Looks plausible. So first huge line is input 55 = (r1,c1,ch0 agent). Next input56 ch1, 57 ch2, 58 ch3, 59 ch4. Then line60 (r1,c2,ch0) huge etc. Great.\n\nStrong weights at ch0 and ch1 and ch4 for inner cells; ch2 perhaps specialized, ch3 near zero except border? Should analyze reward and obstacle lines. There are strong weights at select other rows e.g input? Should map full sequence.\n\nFor row1:\ncell11 (r1c1):\nch0 [1.706,-3.242,...]\nch1 [-1.161,-0.011,...]\nch2 [0.202,...,-1.490 at unit6,...]\nch3 [0.057,... small]\nch4 [0.487,...]\ncell12:\nch0 [1.694,3.205,...]\nch1 [-0.015,0.189,-0.747,...]\nch2 [0.352,...,-2.361 at unit6,...]\nch3 [0.049,... small]\nch4 [0.209,...]\ncell13:\nch0 [4.742,...]\nch1 [-0.189,...]\nch2 [-0.372,...,-1.905 unit6]\nch3 [0.052,...]\nch4 [0.519,...]\ncell14:\nch0 [1.221,-2.067,...]\nch1 [-0.093,...]\nch2 [-0.105,...,-0.883 unit6]\nch3 [-0.007,...]\nch4 [0.013,...]\ncell15:\nch0 [-0.940,0.177,-3.515,...]\nch1 [-0.328,...]\nch2 [0.023,...,-0.004 unit6]\nch3 [0.055,...]\nch4 [0.353,...]\ncell16:\nch0 [0.486,-1.265,...]\nch1 [-0.156,...]\nch2 [0.038,...,-0.438 unit6]\nch3 [-0.014,...]\nch4 [0.095,...]\ncell17:\nch0 [0.390,...]\nch1 [0.112,...]\nch2 [-0.035,...,-0.108 unit6]\nch3 [0.027,...]\nch4 [0.433,...]\ncell18:\nch0 [1.314,1.927,...]\nch1 [0.199,...]\nch2 [-0.381,...,0.042 unit6]\nch3 [-0.122,...]\nch4 [-0.155,...]\nThen row1 c9 border cell19: 5 small lines? After ch4 at cell18, prompt:\n\"0.056 0.091 ...\" (small)\n\"-0.143 -0.033 ...\" \n\"0.025 0.025 ...\"\n\"-0.120 -0.058 ... -0.246 ...\"\n\"0.051 ...\"\nThen row2 c0 border cell20 five small:\n\"0.057 0.127...\"\n\"-0.095 0.078...\"\n\"0.028 0.039...\"\n\"-0.010 0.091...\"\n\"0.036 ...\"\nThen cell21 r2c1 first big:\nch0 [-0.188,-2.628,...]\nch1 [-0.850,...]\nch2 [0.017,...,-0.628 unit6]\nch3 [-0.018,...]\nch4 [0.374,...]\nThen cell22? Following:\nch0 [-0.042,0.119,...] small, ch1 [0.019,-0.121...] small, ch2 [0.107...] small, ch3 [-0.038...] small, ch4 [-0.062...] small, then more small? Wait should check. This suggests large ch0 only at certain cells, perhaps agent starts/specific trajectory? I'll revisit. After r2c1 pattern (5 rows), prompt lines:\n-0.042 0.119 0.015 ... (could next cell ch0 small)\n0.019 -0.121 0.139 ... (ch1 small)\n0.107 -0.041 ... (ch2 small)\n-0.038 0.050 ... (ch3 small)\n-0.062 -0.063 ... (ch4 small)\n0.014 -0.126 ... \n0.103 -0.028 ...\n0.016 0.008 ...\n0.015 0.058 ...\n-0.023 -0.102 ...\nThen next huge -3.315 ... likely r2c4? Should count. If only r2c1 has big and c2/c3 all small, next huge at c4 ch0. Pattern of strong cells perhaps agent channel at specific game fixed cells? Why would some inner cells no strong weights? Could reflect game objects located only at certain rows/columns? Should map carefully.\n\nPerhaps game is \"Snake\" where agent channel is snake head? All cells possible, should strong everywhere eventually but training could only visit some? Strong weights at row1 all cells and selected others suggests dynamic objects move on fixed rows (Frogger?). Agent likely only at bottom row? Should distinguish channels: I assumed first big line ch0 at each cell but perhaps big line at ch0 for every cell that moving objects can occupy? Agent channel 0 could be present only specific initial/visited positions, but weights can be large regardless due training. Channel 1 moving objects perhaps cars on rows, etc.\n\nI'll map strong pattern globally. Could be \"Pacman\" with fixed maze: agent/reward etc. Strong ch0/ch1 weights at walkable maze cells, small at walls? But ch3 obstacles weights near small, weird. Maze inner layout perhaps channels strong only at certain cells. Or \"Snake\" all cells strong. Yet row2 c2/c3 small could be because snake never goes? Unlikely if fully trained.\n\nCould be \"Catch\" / \"Fruit Catcher\": agent only bottom row, moving object falls columns. Strong weights on all cells for moving objects channel1, not ch0. But big line at ch0 across row1 all cells wouldn't fit agent top rows.\n\nCould be \"Frogger\": agent can move whole grid, moving cars on specific rows, rewards at top. Strong rows at specific lanes. Reward targets static at top row perhaps channel2 special. Previous frame used motion. Should infer.\n\nCould be \"Space Invaders\" grid? Agent at bottom, moving objects aliens, rewards targets? Channel2 reward targets perhaps food.\n\nCould be \"Pac-Man\" with agent channel 0 Pacman, moving objects channel1 ghosts, reward targets channel2 pellets, obstacles walls. Strong weights ch0/ch1 at maze locations; channel2 has special unit6 negative at certain cells (walls?).\n\nI'll systematically understand patterns from weight magnitudes and special units. At every large cell, five rows seem:\n- ch0: random large vector ~N(0,2)\n- ch1: medium ~N(0,1) with unit9 often -1 to -3, etc.\n- ch2: mostly small except unit6 large negative sometimes, and perhaps general small.\n- ch3: tiny random ~0.1\n- ch4: medium vector with patterned values ~0.5 and unit9 negative, etc.\nAt other cells, all five tiny except ch4 moderate ~0.5? Should see.\n\nThis could arise from input preprocessing: agent ch0 and moving object ch1 rarely active, weights remain initial small? Large weights indicate trained features for active possible cells. ch2 weights often special at reward cells, ch3 tiny at obstacles because border constant and walls perhaps constant. ch4 medium at many cells because previous positions.\n\nPerhaps identify game via spatial mask of large ch0: likely all positions a \"snake\" can occupy? Snake channel0 might include whole snake body, channel1? In Snake, moving objects perhaps snake body? Agent is head? reward target food. Obstacles border only. No internal obstacles. Then all inner cells should be potentially head/body, large ch0/ch1? ch1 perhaps not used at all in Snake except? Could have moving objects = snake body? Usually custom grid games set channel0 agent, channel1 moving objects (e.g enemies), channel2 targets, channel3 obstacles, ch4 prev agent/moving. Games possible: Snake (agent head and body? body could ch0?), Pacman, Frogger, etc.\n\nObserve row1 c1-c8 all ch0 huge. Row2 perhaps only c1 and c4? That pattern might be maze walkable cells: top row all corridor; second row c1, c4? Classic Pacman maze on 8x8 could have top row all open, internal walls. Strong ch0 at open cells, small at wall cells. Row1 all open. Row2 c1 open, c2/c3 wall? c4 open? I'll map further and see. There are big cells at r2 c4? Sequence huge at -3.315 then ch1 -0.560 etc; next huge at 1.414 after 5 small? Should map.\n\nI'll index from r2 start carefully with lines. I'll enumerate using prompt and map. Could reconstruct grid of large cells based on pattern and line counts, but lengthy. I can do manual systematically, marking each line sequential from known points. Should not have all 500 but enough to reveal layout.\n\nAlternative identify special pattern: big W1 at ch0/ch1 on specific cells perhaps row/col positions corresponding to 8x8 \" maze\" or \"highway\". Top row all 8 large, next row big at columns 1 and 4? I'll continue.\n\nI'll label raw lines after first row etc using prompt. I'll copy segments mentally.\n\nI'll create global list for rows/cells from r2c1 (cell21) onward:\n\nCell21 (r2c1):\nA0 L105? \"-0.188 -2.628 0.822 ...\" big\nA1 \"-0.850 0.071 0.103 ...\" med\nA2 \"0.017 0.117 ... -0.628 ...\" small special\nA3 \"-0.018 0.066...\" tiny\nA4 \"0.374 0.064 ... -1.080 ...\" med\n\nCell22 (r2c2):\nB0 \"-0.042 0.119 0.015...\" tiny\nB1 \"0.019 -0.121 0.139...\" tiny\nB2 \"0.107 -0.041...\" tiny\nB3 \"-0.038 0.050...\" tiny\nB4 \"-0.062 -0.063...\" tiny\n\nCell23 (r2c3):\nC0 \"0.014 -0.126...\" tiny\nC1 \"0.103 -0.028...\" tiny\nC2 \"0.016 0.008...\" tiny\nC3 \"0.015 0.058...\" tiny\nC4 \"-0.023 -0.102...\" tiny\n\nCell24 (r2c4):\nD0 \"-3.315 -3.218 -1.212 ... 5.140 ...\" big\nD1 \"-0.560 -1.328 3.745...\" med\nD2 \"-0.023 -0.032 0.145 ... -4.876(unit6) ...\" special\nD3 \"-0.062 0.054...\" tiny\nD4 \"0.137 -0.171 ... 0.898...\" med\n\nCell25 (r2c5):\nE0 \"1.414 -2.887 ... 5.290 ... -5.361...\" big\nE1 \"-0.461 0.174 2.762 ... -5.209 ...\" med\nE2 \"0.250 -0.027 ... -0.854 unit6...\" special\nE3 \"-0.012 0.038...\" tiny\nE4 \"-0.005 0.099 -0.652 ... 0.704...\" med\n\nCell26 (r2c6):\nF0 \"0.003 0.085...\" tiny? If pattern expecting big, no.\nF1 \"-0.044 -0.039...\" tiny\nF2 \"-0.013 0.061...\" tiny\nF3 \"-0.012 -0.029...\" tiny\nF4 \"0.002 -0.003...\" tiny\n\nCell27 (r2c7):\nG0 \"-0.089 -0.023...\" tiny\nG1 \"0.027 -0.050...\" tiny\nG2 \"-0.057 -0.078...\" tiny\nG3 \"-0.038 0.022...\" tiny\nG4 \"0.014 0.022...\" tiny\n\nCell28 (r2c8):\nH0 \"-1.907 -0.100 -0.117 ... 2.902...\" big\nH1 \"0.085 0.105 -0.436 ... -3.343 unit9...\" med\nH2 \"-0.031 0.112 0.505...\" small\nH3 \"0.007 -0.028...\" tiny\nH4 \"0.573 -0.223 ... 0.867...\" med\n\nThen cell29 r2c9 border 5 small:\n-0.064...\n0.102...\n0.042...\n-0.059...\n0.069...\nCell30 r3c0 border 5 small:\n0.049...\n-0.074...\n0.022...\n0.105...\n-0.089...\nCell31 r3c1 big:\nI0 \"-0.716 3.290 2.156 ... -4.527 ...\" big\nI1 \"-0.219 0.696 ... 3.728 ...\" med\nI2 \"-0.177 0.037...\" small\nI3 \"-0.067 0.051...\" tiny\nI4 \"0.765 -0.195 ... 0.713...\" med\nCell32 r3c2 small all:\n-0.034...\n-0.009...\n0.112...\n-0.023...\n0.044...\nCell33 r3c3? first 2 lines? \"2.604 -1.054 0.085 ... 4.330 ...\" big = J0; \"0.606 0.006 1.128 ... -3.873 ... -4.266...\" = J1; \"0.091 -0.008 -0.620...\" = J2; \"-0.087 0.088...\" J3; \"0.386 -0.092...\" J4. So r3c3 big.\nCell34 r3c4 big:\nK0 \"-2.423 3.658 2.599 ...\" \nK1 \"0.047 -0.893 ...\" \nK2 \"-0.039 0.092...\" \nK3 \"-0.013 -0.075...\" \nK4 \"0.050 0.012 1.663...\" \nCell35 r3c5 big:\nL0 \"-5.208 3.306 3.336 ...\" \nL1 \"-0.520 -0.171 4.201...\" \nL2 \"0.123 -0.057...\" \nL3 \"-0.024 -0.030...\" \nL4 \"-0.045 -0.142 0.475...\" \nCell36 r3c6 big:\nM0 \"-1.609 0.628 1.026 ... 2.947...\" \nM1 \"-3.698 0.292 1.075...\" \nM2 \"-0.018 -0.060 -0.440...\" \nM3 \"-0.023 0.045...\" \nM4 \"0.279 0.241 -0.304...\" \nCell37 r3c7 small:\nN0 \"-0.013 0.043...\"\nN1 \"-0.070 0.037...\"\nN2 \"-0.031 -0.007...\"\nN3 \"0.026 0.071...\"\nN4 \"0.039 -0.127...\"\nCell38 r3c8 big:\nO0 \"-3.025 1.008 0.895 ... 3.861 ...\" \nO1 \"-0.248 -1.641 ... -3.074...\" \nO2 \"0.236 0.101...\" \nO3 \"0.030 -0.006...\"\nO4 \"-0.277 0.286 ... 0.831 ... -1.031...\" \nCell39 r3c9 border small 5:\n-0.016...\n0.024...\n0.076...\n-0.023...\n-0.013...\nCell40 r4c0 border small 5:\n-0.025...\n0.056...\n0.038...\n-0.014...\n-0.023...\nCell41 r4c1 big:\nP0 \"-0.475 3.278 ... -4.625 ... -5.191 ...\" \nP1 \"0.333 -0.698 ... 1.545 -2.400...\" \nP2 \"-0.186 0.175...\" \nP3 \"0.111 -0.021...\" \nP4 \"0.459 0.034...\" \nCell42 r4c2 big:\nQ0 \"0.533 -2.215 2.475 ... 7.277 ...\" \nQ1 \"1.297 -0.315 -1.202...\" \nQ2 \"0.111 -0.021...\" \nQ3 \"0.037 -0.091...\" \nQ4 \"0.080 -0.017...\" \nCell43 r4c3 big:\nR0 \"1.250 1.063 -1.085 ... 3.501...\" \nR1 \"1.308 -0.335 ... 4.060...\" \nR2 \"-0.115 -0.066...\" \nR3 \"-0.069 -0.017...\" \nR4 \"-0.118 -0.245...\" \nCell44 r4c4 small:\nS0 \"0.040 0.035...\"\nS1 \"-0.054 -0.029...\"\nS2 \"0.076 0.005...\"\nS3 \"0.004 -0.015...\"\nS4 \"-0.085 0.060...\"\nCell45 r4c5 small:\nT0 \"0.025 0.027...\"\nT1 \"0.041 0.028...\"\nT2 \"0.027 -0.181...\"\nT3 \"-0.054 0.023...\"\nT4 \"0.019 -0.012...\"\nCell46 r4c6 big:\nU0 \"-5.170 0.949 -2.872 ... -5.528 -5.508...\" \nU1 \"-1.352 0.381 ... 4.735...\" \nU2 \"0.130 0.006...\" \nU3 \"0.145 0.030...\" \nU4 \"-0.126 -0.349...\" \nCell47 r4c7 big:\nV0 \"-0.300 1.400 -2.245 ... 4.706...\" \nV1 \"-0.211 -2.491 ... 4.226 ... -5.925...\" \nV2 \"-0.104 0.004 0.543...\" \nV3 \"0.086 0.015...\" \nV4 \"0.011 0.226...\" \nCell48 r4c8 big:\nW0 \"-3.247 0.354 -0.468 4.327...\" \nW1 \"0.429 -0.402 ... -4.641 ... 4.077...\" \nW2 \"0.137 0.070...\" \nW3 \"-0.073 0.002...\" \nW4 \"0.237 -0.214...\" \nCell49 r4c9 border small 5:\n0.014...\n0.058...\n0.128...\n0.108...\n0.049...\nCell50 r5c0 border small 5:\n0.139...\n-0.131...\n-0.147...\n0.053...\n0.027...\nCell51 r5c1 big:\nX0 \"1.089 0.097 -0.640 -2.849 ... -3.520...\" \nX1 \"1.400 -0.993 ... -4.448...\" \nX2 \"0.097 0.465...\" \nX3 \"-0.164 -0.059...\" \nX4 \"-0.144 0.031...\" \nCell52 r5c2 big:\nY0 \"-1.185 4.176 1.105 ... -5.151 -4.210...\" \nY1 \"-0.084 -0.760 ... 1.483 ...\" \nY2 \"-0.036 0.060 ... 0.564...\" \nY3 \"-0.008 -0.024...\" \nY4 \"-0.168 0.070...\" \nCell53 r5c3 big:\nZ0 \"-0.384 0.955 -0.779 -3.145 3.458...\" \nZ1 \"0.192 -0.418...\" \nZ2 \"-0.185 -0.053...\" \nZ3 \"0.030 -0.041...\" \nZ4 \"0.159 -0.010...\" \nCell54 r5c4 small:\nAA0 \"-0.076 -0.082...\"\nAA1 \"-0.021 0.018...\"\nAA2 \"0.039 -0.005...\"\nAA3 \"0.001 0.068...\"\nAA4 \"-0.038 0.110...\"\nCell55 r5c5 small:\nAB0 \"-0.055 0.011...\"\nAB1 \"-0.007 -0.011...\"\nAB2 \"-0.035 -0.005...\"\nAB3 \"-0.009 0.008...\"\nAB4 \"-0.070 0.084...\"\nCell56 r5c6 big:\nAC0 \"0.523 0.466 -1.056 ... 5.592 ... -5.116...\" \nAC1 \"-0.284 1.782 ... 1.782? ... -3.088...\" \nAC2 \"0.004 0.116...\" \nAC3 \"0.074 0.018...\" \nAC4 \"0.026 0.321...\" \nCell57 r5c7 big:\nAD0 \"-4.928 5.834 -0.425 ... -4.014...\" \nAD1 \"0.875 1.003 ... -4.682 3.248...\" \nAD2 \"-0.011 -0.030 ... -0.807...\" \nAD3 \"-0.154 -0.078...\" \nAD4 \"0.296 -0.433...\" \nCell58 r5c8 big:\n\nAE0 \"-0.446 -2.027 1.742 ... -5.373...\" \nAE1 \"0.340 1.394...\" \nAE2 \"-0.084 0.051...\" \nAE3 \"-0.014 -0.018...\" \nAE4 \"-0.145 0.266...\" \nCell59 r5c9 border small 5:\n-0.022...\n0.057...\n-0.067...\n-0.039...\n0.185...\nCell60 r6c0 border small 5:\n-0.026...\n0.003...\n-0.078...\n0.073...\n0.000...\nCell61 r6c1 big:\nAF0 \"1.706 -0.950 1.034 ... -3.457...\" \nAF1 \"1.342 -0.869 ... -3.008...\" \nAF2 \"-0.194 0.085...\" \nAF3 \"0.018 -0.018...\" \nAF4 \"0.608 -0.409 ... -2.736...\" \nCell62 r6c2 small:\nAG0 \"-0.015 0.008...\"\nAG1 \"0.092 -0.075...\"\nAG2 \"0.015 -0.053...\"\nAG3 \"-0.074 0.104...\"\nAG4 \"0.059 -0.047...\"\nCell63 r6c3 big:\nAH0 \"-0.033 3.372 2.452 -2.661...\" \nAH1 \"-0.143 0.568 ... 2.423...\" \nAH2 \"0.209 0.159...\" \nAH3 \"-0.034 0.032...\" \nAH4 \"-0.202 0.008...\" \nCell64 r6c4 big:\nAI0 \"-3.800 0.812 1.489 ... -5.319...\" \nAI1 \"0.049 0.639 ... -2.874...\" \nAI2 \"-0.862 0.229 ... 1.596...\" (moderate not small! perhaps channel2 at this cell important?)\nAI3 \"-0.054 0.051...\"\nAI4 \"-0.370 0.231...\"\nCell65 r6c5 big:\nAJ0 \"0.076 0.433 3.222 ... -4.255 ... -5.007...\" \nAJ1 \"1.247 1.575 ... 3.904 ... -2.186...\" \nAJ2 \"-0.168 0.143...\" \nAJ3 \"0.002 -0.089...\" \nAJ4 \"0.060 0.081...\" \nCell66 r6c6 big:\nAK0 \"2.953 2.523 1.785 ... 4.938 ... -4.740...\" \nAK1 \"0.813 0.334 ... -4.838...\" \nAK2 \"-0.154 0.052...\" \nAK3 \"0.007 0.057...\" \nAK4 \"-0.221 0.635...\" \nCell67 r6c7 small:\nAL0 \"-0.009 0.041...\"\nAL1 \"-0.004 0.015...\"\nAL2 \"-0.009 -0.058...\"\nAL3 \"-0.033 -0.031...\"\nAL4 \"0.044 -0.134...\"\nCell68 r6c8 big:\nAM0 \"-0.594 1.667 -0.357 -2.710 ... -4.531 ... 5.132...\" \nAM1 \"0.060 1.191...\" \nAM2 \"-0.074 -0.084...\" \nAM3 \"0.029 0.116...\" \nAM4 \"-0.047 0.059 ... 0.770...\" \nCell69 r6c9 border small 5:\n0.092...\n-0.018...\n-0.030...\n0.008...\n0.000...\nCell70 r7c0 border small 5:\n-0.013...\n-0.054...\n-0.057...\n-0.018...\n-0.099...\nCell71 r7c1 big:\nAN0 \"1.377 -1.070 0.580 -3.160...\" \nAN1 \"0.850 1.084 ... 3.155...\" \nAN2 \"-0.192 0.028...\" \nAN3 \"0.073 -0.028...\" \nAN4 \"-0.313 0.204...\" \nCell72 r7c2 small:\nAO0 \"-0.035 -0.089...\"\nAO1 \"0.004 -0.042...\"\nAO2 \"-0.009 0.057...\"\nAO3 \"0.042 0.060...\"\nAO4 \"-0.079 -0.048...\"\nCell73 r7c3 small? lines:\nAP0 \"0.013 0.068...\"\nAP1 \"0.024 0.082...\"\nAP2 \"-0.093 0.005...\"\nAP3 \"0.040 0.160...\"\nAP4 \"0.087 -0.060...\"\nCell74 r7c4 big:\nAQ0 \"-3.098 0.201 0.696 1.721...\" \nAQ1 \"1.030 2.352...\" \nAQ2 \"-0.355 -0.042...\" \nAQ3 \"0.033 0.054...\" \nAQ4 \"-0.170 0.186...\" \nCell75 r7c5 big:\nAR0 \"-0.920 1.237 3.007 ... -4.249 ... 4.635...\" \nAR1 \"0.453 0.696 ... 5.421 ... -4.042...\" \nAR2 \"-0.177 -0.151...\" \nAR3 \"-0.101 0.024...\" \nAR4 \"-0.379 0.554...\" \nCell76 r7c6 small:\nAS0 \"-0.006 -0.050...\"\nAS1 \"-0.034 0.061...\"\nAS2 \"0.015 0.023...\"\nAS3 \"-0.031 -0.098...\"\nAS4 \"-0.031 -0.050...\"\nCell77 r7c7 small:\nAT0 \"-0.108 0.029...\"\nAT1 \"-0.115 0.070...\"\nAT2 \"-0.047 -0.020...\"\nAT3 \"0.028 0.033...\"\nAT4 \"0.089 -0.035...\"\nCell78 r7c8 big:\nAU0 \"0.640 -2.063 -0.257 -2.870...\" \nAU1 \"-0.822 0.984...\" \nAU2 \"-0.010 0.088...\" \nAU3 \"-0.042 -0.017...\" \nAU4 \"-0.351 0.084 -0.289 -1.470...\" \nCell79 r7c9 border small 5:\n0.030...\n0.012...\n-0.012...\n-0.099...\n0.004...\nCell80 r8c0 border small 5:\n0.018...\n0.098...\n-0.079...\n0.078...\n-0.020...\nCell81 r8c1 big:\nAV0 \"2.446 -0.899 1.615 ... -5.493 ... -4.595...\" \nAV1 \"1.431 2.325...\" \nAV2 \"0.016 -0.398...\" \nAV3 \"-0.125 -0.125...\" \nAV4 \"0.222 -0.011...\" \nCell82 r8c2 big:\nAW0 \"1.612 -1.123 1.606 1.745 ... -3.141...\" \nAW1 \"0.341 1.105...\" \nAW2 \"0.074 -0.044...\" \nAW3 \"0.020 0.001...\" \nAW4 \"-0.104 0.216...\" \nCell83 r8c3 big:\nAX0 \"2.751 1.905 2.357 ... -4.647...\" \nAX1 \"0.761 2.409...\" \nAX2 \"-0.022 -0.105...\" \nAX3 \"-0.024 0.007...\" \nAX4 \"-0.035 -0.433...\" \nCell84 r8c4 big:\nAY0 \"1.329 -1.637 1.996 ... -3.239...\" \nAY1 \"-0.802 1.140 ... -3.722...\" \nAY2 \"-0.020 -0.038...\" \nAY3 \"0.017 -0.049...\" \nAY4 \"-0.591 0.609...\" \nCell85 r8c5 big:\nAZ0 \"-0.570 2.428 -0.950 ... -5.622 ... -4.562...\" \nAZ1 \"1.051 -0.240 ... -3.595...\" \nAZ2 \"-0.134 0.171...\" \nAZ3 \"-0.012 0.008...\" \nAZ4 \"-0.174 0.309...\" \nCell86 r8c6 big:\nBA0 \"-0.038 1.675 0.014 1.769 ... 3.483 -3.469...\" \nBA1 \"-1.944 0.494...\" \nBA2 \"0.102 -0.122...\" \nBA3 \"-0.080 0.079...\" \nBA4 \"-0.339 0.603...\" \nCell87 r8c7 big:\nBB0 \"-2.151 1.161 -0.953 ... -3.553...\" \nBB1 \"-1.535 0.740...\" \nBB2 \"0.291 0.113...\" \nBB3 \"-0.067 -0.040...\" \nBB4 \"-0.143 0.550...\" \nCell88 r8c8 big:\nBC0 \"0.955 1.243 1.407 ... -3.468 ... 4.183...\" \nBC1 \"-1.973 1.102...\" \nBC2 \"0.005 0.036...\" \nBC3 \"0.022 -0.116...\" \nBC4 \"-0.116 0.406...\" \nThen border row8c9 and row9 all small through end. Yes.\n\nSo strong mask of inner cells:\nr1: c1 c2 c3 c4 c5 c6 c7 c8 (all)\nr2: c1, c4,c5, c8 (c2,c3,c6,c7 small)\nr3: c1, c3,c4,c5,c6, c8 (c2,c7 small)\nr4: c1,c2,c3, c6,c7,c8 (c4,c5 small)\nr5: c1,c2,c3, c6,c7,c8 (c4,c5 small)\nr6: c1, c3,c4,c5,c6, c8 (c2,c7 small)\nr7: c1, c4,c5, c8 (c2,c3,c6,c7 small)\nr8: all c1-c8\n\nThis is highly symmetric maze layout! I'll visualize 8x8 (c1..8):\nrow1: ######## (all strong)\nrow2: #..##..#? strong c1, c4,c5,c8 => #..##..# yes c2,c3 empty, c6,c7 empty\nrow3: #.####.# (c1, c3-c6, c8)\nrow4: ###..### (c1-c3, c6-c8)\nrow5: ###..###\nrow6: #.####.#\nrow7: #..##..#\nrow8: ########\n\nThis looks exactly classic Pac-Man maze style? 8x8 grid labyrinth symmetric horizontally and vertically. Pattern forms concentric? Strong cells might actually obstacles? Mask is \"open paths\" or walls? The strong cells pattern is symmetric, looks like maze walls? I'll visualize strong=#:\n########\n#..##..#\n#.####.#\n###..###\n###..###\n#.####.#\n#..##..#\n########\n\nThis is 8x8 arrangement reminiscent Pac-Man maze? Open paths could be strong, with small cells as walls. Small mask:\n........\n.##..##.\n.#....#.\n...##...\n...##...\n.#....#.\n.##..##.\n........\nThis small cells form symmetric obstacles (wall blocks): four? It's like Pac-Man maze with wall blocks:\n- row2 c2-c3 and c6-c7 (2x1 horizontal blocks)\n- row3 c2 and c7 (vertical below outer blocks? Combined with row2 makes L shapes)\n- row4-5 c4-c5 central 2x2 block\n- row6 c2 and c7\n- row7 c2-c3 and c6-c7.\nOpen mask strong. This resembles a maze with six obstacles: 4 L-tromino shapes around + central square. Could be Pac-Man grid generated maze.\n\nBut could strong mask be obstacle channel? I assumed first big row is ch0 agent, and it is big exactly at open cells. If strong at open cells, yes positions agent can occupy. Small cells are internal wall obstacles. Strong at ch0/ch1/ch4 for open cells because agents/ghosts can be there; small at walls because never active. Channel2 reward at open cells mostly small but unit6 special early. ch3 at walls remains small because constant? Wait obstacle channel at wall cells (small mask) always 1, so weights should matter as constant inputs and could be integrated into biases; but no spatial learning needed. At open cells ch3 always 0, weights remain small. Border ch3 always 1, small. Channel2 reward targets might be pellets on open cells: at start almost all open cells have reward=1, and eaten over time. Their weights mostly small except special unit6 at some cells? Should understand.\n\nThe open maze pattern likely game \"Pac-Man\" with 8x8 maze, ghosts and pellets. Agent moves through maze, moving objects ghosts, reward targets pellets, obstacles walls. Previous frame positions. Output biases: noop -0.873, up .703, down .712, left .595, right -.092. This suggests movement, no-op suppressed, right slightly suppressed. Pacman yes.\n\nBut need be certain: Could be \"Snake\" on maze? Mask strong could be static random maze game \"Pacman\" definitely. Perhaps game \"Dungeon\"/\"Maze\" with moving enemies and rewards. Strong open cell pattern looks exactly a Pac-Man-like maze, possibly \"Pacman\" from gym environment? Should identify more specifically perhaps \"Pac-Man\" or \"Pacman with ghosts\". I'll analyze weights channel patterns and output to support.\n\nWhy channel2 weights small? Reward targets could be food pellets. At open cells, input ch2 perhaps pellet present initially. Their weights have one unit 6 negative at r1c1 etc, but most near 0.1. Large weights in ch0 and ch1 are random huge (up to 7) at each open cell. That implies trained network has separate features for agent position and ghost position. At walls, all ch0/ch1/ch4 weights remain small initialization. Great. Channel4 previous frame has moderate, structured values at all open cells. Could help infer movement direction of ghosts/agent. Output W3 and biases no-op negative.\n\nReward target ch2 structure: unit6 column? Should examine. For r1 open cells ch2 weights:\nr1c1: at hidden unit 6 (0-index? seventh) -1.490, rest small.\nr1c2: unit6 -2.361\nr1c3: unit6 -1.905\nr1c4: unit6 -0.883\nr1c5: unit6 -0.004\nr1c6: unit6 -0.438\nr1c7: unit6 -0.108\nr1c8: unit6 0.042\nr2c1: unit6 -0.628\nr2c4: unit6 -4.876 (!!)\nr2c5: unit6 -0.854\nr2c8: perhaps ch2 -0.031 small with unit6 0.009? \nr3 etc ch2 small. This could be initialization plus training only reward at certain fixed cells? Perhaps reward targets are not pellets everywhere but one food at a time. If one reward target random on open cells, weights would be structured more broadly.\n\nPerhaps channel2 actually reward targets fixed at four corners? Big special unit6 at specific positions? r2c4 -4.876 stands out. Could indicate reward target often at r2c4? Why only one? Perhaps \"Pacman\" has power pills? Could be \"Snake\" food spawning and learned position weights not huge due credit.\n\nPerhaps game \"Pac-Man\" with stationary pellets at all open cells. ch2 reward weights may be less needed because dense pellets and agent just navigates; unit6 is a dead/unused hidden unit? Wait unit6 could be active constant feature from obstacles? Should look at W2/W3 for hidden units. b1 all tiny. Strong weights indicate first-layer overfitting to exact positions, typical PPO. Some hidden units like h1[6] have large weights in agent/moving channels and reward channel. Output W3 row6 = [-1.045,1.888,-0.564,-0.036,-1.226], so h1 unit6 promotes up and suppresses no-op/right etc. Reward at r2c4 strongly -4.876 to unit6 means pellet there reduces h1 preactivation, affecting action. Could be specific important target.\n\nCould infer game mechanics from output biases and W3 columns: W3 actions 0..4. b3 [-.873,.703,.712,.595,-.092]. Up/down/left similar positive, right near 0, no-op negative. W3 has numerous large weights, each h2 feature action preferences. Not simple directional local weights due fully connected spatial one-hot.\n\nPerhaps other game with maze layout: \"Pacman\" likely. But need ensure not \"Bomberman\", \"Sokoban\", \"Maze Runner\". Channels moving objects and rewards suggest Pacman. Sokoban has no moving objects aside agent/boxes and targets static, reward when box on goals; previous frame unnecessary. Pacman has ghosts (moving), pellets (reward), walls. Exactly all channels used. Maze symmetric open-cell mask is textbook Pac-Man. Should describe agent eats pellets while avoiding ghosts, reward for pellets. Could be \"Pac-Man (including power pellets/ghosts?)\". Confidence perhaps 90-95.\n\nBut question likely crafted to require identify one of classic games from weights. Could be \"Pac-Man\" variant \"Pacman on 8x8 grid\" with specific map. Should quote weights and structure accurately. I'll dig deeper to make robust and rule out Snake/Frogger etc. I should describe spatial strong-weight mask and channel patterns. Could also be \"Pac-Man\" vs \"Mouse trap\"/\"Ghostbuster\". I'll inspect channel0 vs channel1 magnitudes and previous frame. Channel0 large at all open cells; ch1 medium-large at all open cells. Channel2 near-zero? Perhaps reward targets static in all cells? If channel2 pellets, weights should large at all open cells? But due reward shaping perhaps ch2 not important. Obstacle channel3 is all near-zero because walls constant? Internal wall mask small across all channels because ch0/ch1/ch4 never active; ch2 also never active (pellets only on open cells). ch3 weights at walls could remain small despite constant 1 because constant features can be absorbed and don't help actions; network doesn't need wall inputs because movement learned via position. Yes.\n\nOne nuance: Channel 0 could be *walls*? No, specified agent. So open-cell mask is from possible agent positions. Maze strong map exactly.\n\nI'll verify map with r4/r5 symmetry etc. This is 8x8 Pac-Man map perhaps from \"Pacman\" in \"gym-gridworld\"? Could be game \"Pac-Man\" implementation in \"Griddly\" or \"MiniPacman\". MiniPacman by DeepMind has 5+ channels and 19x? But custom simple environment perhaps \"PacMan\" in \"gridworld\" tasks. MiniPacman board includes walls, pacman, ghosts, food, power pills. It is often 15x8 etc. This custom 10x10 likely simple \"Pac-Man\" challenge. Could be \"Pac-Man (a small maze with pellets and ghosts)\". Good.\n\nPerhaps game \"Snake\" because strong mask could be weights at agent channel not open-cell mask but *shortcuts* in labyrinth? Snake wouldn't have fixed inaccessible cells. Frogger strong mask would lanes not symmetrical maze. So Pacman.\n\nI'll consider possible \"Pacman without ghosts?\" Channel1 moving objects = ghost. Ch2 reward targets = pellets. ch3 obstacles = walls. Previous frame = direction inference. Perfect.\n\nCan I infer exact maze as above and reward behavior from biases? no-op low means always moving, consistent Pacman. Action right lower b3 perhaps agent starts left side and pellet distribution? Not needed.\n\nShould respond in requested order, quote weights relied on. I should include examples with input indexes/cell mapping. Make sure indexes correct when quoting. I'll calculate specific input indices to cite:\nInput i = (r*10+c)*5+channel.\nr1c1 cell11: ch0 input55 huge vector 1.706,-3.242,0.524,...,4.081; ch1 input56 -1.161,...,2.453,...; ch2 input57 .202... -1.490; ch3 input58 .057... small; ch4 input59 .487... .\nr1c2 cell12 ch0 input60 huge 1.694,3.205,1.177,-3.319,...; etc.\nr2c2 cell22: ch0 input110? cell22*5=110. Values -0.042 0.119... small. r2c1 cell21 ch0 input105 = -0.188 -2.628... big. r2c4 cell24 ch0 input120 = -3.315 -3.218... big. Good.\nr2c3 cell23 ch0 input115 .014... small. r2c4 ch2 input122 = -.023 ... -4.876. Could quote but perhaps avoid overinterpretation.\nr8c8 cell88 ch0 input440 .955 1.243... big.\nWalls ch3 input indices all small: r1c1 ch3 input58 .057 etc; border all small. This suggests wall positions need not be read, static maze encoded implicitly.\n\nOutput b3 quote exactly. W3 examples:\nRow0 [-0.027,-0.312,-1.843,1.628,-1.030] shows h2 unit0 suppress down (action2) and right (4), promotes left (3).\nRow2 [0.469,0.459,2.307,-1.683,0.191] strong down preference vs left.\nRow28 [-0.050,-1.608,-1.018,0.033,2.500] strong right.\nRow30 [-0.501,1.326,-1.247,-1.168,2.223] strong up/right.\nRow31 [1.439,2.019,-.268,-.516,-2.023] up and no-op? Actually action1 up, suppress right.\nThis shows directional action selection, no action collapse. Biases prefer up/down/left, right neutral, no-op negative. I can state output layer contains strong positive and negative weights to each directional action, e.g. W3 row28 right 2.500, row2 down 2.307 and left -1.683, row0 left 1.628/down -1.843. This indicates context-dependent movement rather than constant action. No-op bias lowest. I shouldn't over-interpret specific direction features without forward pass.\n\nChannel4 previous frame medium at open cells, e.g r1c2 ch4 input64? r1c2 cell12: ch4 input64 = .209 -.094 -.480 ... .520 etc. r2c1 ch4 input109 = .374... . Mention it has same open-cell support, consistent tracking movement/agent and ghosts.\n\nChannel2 mostly small but structured at open cells, not moving/walls. Could say \"reward channel is much weaker, but has scattered, position-specific structure on the same traversable cells (e.g. r2c4 ch2 has -4.876 in one hidden unit; r1c1/r1c2 have -1.490/-2.361 there), consistent with pellet/food locations rather than another moving sprite.\" Should check unit6 column exact. For r2c4 ch2 line \"-0.023 -0.032 0.145 0.055 0.005 -0.041 -4.876 -0.138 ...\" yes seventh. r1c1 ch2 .202 -.114 .166 .114 .259 -.074 -1.490 ... yes. r1c2 ch2 .352 -.015 .397 -.204 -.054 .102 -2.361. Good. These are notable and suggest rewards. Why at only some? Could quote as sparse structure.\n\nChannel3: at r2c4 ch3 input123 \"-0.062 .054 -.089...\" small; all ~.2. At open and wall? Perhaps border always wall, weights low because constant. Could say \"Obstacle-channel weights are almost all small and show no dynamic position detector; walls are fixed (and the border constant), so policy can encode maze implicitly via where agent/ghost/previous-frame features exist.\" Careful: If ch3 at internal wall cells always 1, weights being small at those positions could just be because they are not useful; fine.\n\nStrong mask perhaps I should explicitly include in observations using `#` for large ch0/ch1 support, `.` for near-initialization:\n```\n########\n#..##..#\n#.####.#\n###..###\n###..###\n#.####.#\n#..##..#\n########\n```\nShould verify r2 strong # at c1,c4,c5,c8 -> #..##..# (8 chars: # . . # # . . #) yes.\nr3 #.####.# -> # . # # # # . # yes.\nr4/5 ###..### -> c1-3 #, c4-5 ., c6-8 #.\nr6 same r3.\nr7 same r2.\nr8 all.\nThis symmetric maze is strong evidence.\n\nWait, could this mask instead be *walls* (large weights at wall positions) and open paths small? Since large ch0 at strong cells means agent can be there; so strong cells traversable. But is it possible agent is static walls? No. So yes.\n\nMap looks like static obstacles in small positions:\nInternal wall mask:\nrow2 (r2) c2,c3,c6,c7; row3 c2,c7; row4 c4,c5; row5 c4,c5; row6 c2,c7; row7 c2,c3,c6,c7. This is symmetric 180 and horizontal/vertical. Classic Pacman-esque maze. Good.\n\nCould it be \"Pac-Man\" specifically or \"Maze with food and moving ghosts\" enough. I can say \"a compact Pac-Man game (pac-man in a fixed pellet maze with moving ghosts)\". Description one/two sentences: \"The agent moves through the fixed maze eating pellet/reward targets for reward, while avoiding moving ghosts; walls constrain its motion.\" Does death give negative? not needed. If power pellets? Don't claim.\n\nConfidence 96? Should assess possible alternative \"Snake in a maze\" but ch1 moving objects means ghosts. Very high 94. Could there be game \"Pac-Man\" with \"pellet rewards and ghosts\" exactly. I'll give 95%.\n\nHowever, I should explore possibility it's \"Tron\"/\"Nibbler\" etc. I'll examine large weights at ch0 vs ch1: At all open cells ch0 large random ~2-5, ch1 medium ~1-3. In Pacman, agent position and ghost positions. If Snake, no static inaccessible maze, ruled out. If \"Frogger\", map row-symmetric? no. If \"Space Invaders\", bottom/top only, no. If \"Sokoban\", channel1 boxes are agent-moved not moving autonomously, previous frame perhaps unnecessary but targets/walls and maze possible; output no-op discouraged and strong moving channel. Yet reward channel sparse and map open cells. Sokoban maps often not this symmetric open maze, and channel1 boxes can be anywhere but dynamic. Pacman more likely.\n\nCould be \"Pac-Man\" known as \"Pacman\" with 2 ghosts and food. Good.\n\nI'll think if specific map matches \"Pacman\" from `gymnasium` toy text? There is `Pacman` in `gym-gridworld` 10x10? Search memory (offline) of open source simple grid games. User setup resembles tasks from \"weight2game\" challenge, network 500 inputs, 5 actions, PPO. Games could be \"Snake\", \"Pacman\", \"Frogger\", \"Sokoban\", \"Breakout\"? 10x10 grid. Maze pattern perhaps generated by `PacmanEnv` from `gym_gridworlds`? I'll recall.\n\n`gym-gridworlds` has \"MiniPacman\" perhaps. `gym- Grid World`? Custom 10x10 Pacman map often:\n```\n##########\n#........#\n#.##..##.#\n#.#....#.#\n#...##...#\n#...##...#\n#.#....#.#\n#.##..##.#\n#........#\n##########\n```\nWait this 10x10 ASCII is exactly our strong mask if `#` in ASCII is *walls*? I'll derive: My internal border walls. If open cells strong and small cells are internal walls, full grid map could be:\nrow0 wall border `##########`\nrow1 open c1-c8: `#........#`\nrow2 open c1,c4,c5,c8 with walls c2,c3,c6,c7: `#.##..##.#`? Count: border c0 #, c1 ., c2#,c3#,c4.,c5.,c6#,c7#,c8.,c9# => `#.##..##.#` (10 chars). Yes.\nrow3 open c1,c3-c6,c8, walls c2,c7: `#.#....#.#`? c0#, c1., c2#, c3.,c4.,c5.,c6., c7#, c8., c9# => `#.#....#.#`.\nrow4 open c1-c3,c6-c8, walls c4-c5: `#...##...#`.\nrow5 same.\nrow6 same r3.\nrow7 same r2.\nrow8 all open.\nrow9 border.\nFull map:\n```\n##########\n#........#\n#.##..##.#\n#.#....#.#\n#...##...#\n#...##...#\n#.#....#.#\n#.##..##.#\n#........#\n##########\n```\nThis is *exactly* a plausible Pacman maze. Very symmetric and maze paths all connected? I'll see connectivity: top/bottom rows, side corridors, central. This looks like a standard simple Pacman grid. Could be known map from `pacman.py` in `gym-gridworld` or `grid_world` examples. Nice. I can include this full map perhaps in observations to show walls vs paths. The mask of strong weights can be translated. It has pellets at every open position? Standard Pacman map.\n\nIf game \"Pac-Man\", agent likely starts at r6? Ghosts etc. Could infer reward targets from ch2 special weights r2c4 etc. Not needed.\n\nPerhaps the game is \"Pac-Man (with four ghosts)\"? I cannot infer number. Don't claim.\n\nCheck output b3 right negative -0.092, no-op -0.873. Agent policy tends up/down/left in absence of input due initial maze position? Fine.\n\nShould mention ch0 and ch1 weights are near-zero at internal walls, not just large at paths. This is key. Ch0 large random vectors are not spatially smooth; they are per-cell one-hot position encodings, suggesting fully connected network learned separate position/action associations, not convolution. Good observation. I can state \"The large weights are cell-specific rather than smooth directional filters; this is exactly what an MLP learns when positions are one-hot.\"\n\nReward ch2 weaker and localized; obstacles ch3 small. Previous frame ch4 shares support. Output actions all used. That addresses prompt: \"for each input channel, where in grid its weights are large or show structure and what that suggests; what output layer and its biases show; quote weights\". Should structure response with channel bullets.\n\nI'll be accurate on channel 2 at wall cells: small at walls. At open cells, most values small too but some strong. So say \"weaker overall, but its nonzero/special structure is confined to same playable cells; e.g... suggests food/pellets, not maze geometry.\" Is it actually confined? All weights everywhere random small. Fine.\n\nChannel 3: \"no comparable large cell-specific structure; essentially small random weights (~0.0-0.2) both border and interior. Fixed walls can be learned implicitly/are constant; the network does not need to detect moving obstacles.\" Might there be large ch3 at some open cell e.g r6c4 ch2 I mislabeled moderate? No ch3 always small. Good.\n\nChannel 4: \"medium weights (roughly 0.3-1, occasionally ~2) on playable cells, same map; e.g. r1c1 ch4 .487,-.215,-.550,...,-1.316; r2c4 ch4 .137,-.171,... .898. It tracks prior agent/ghost positions and helps infer direction.\" Avoid overclaim exact direction.\n\nOutput: b3 and examples. \"No-op is discouraged at rest, directional logits biases positive/near zero. Large mixed W3 values mean policy selects directions based on hidden state.\" Does no-op discouraged mean Pacman constantly moving? Yes, supports active navigation. Right bias less, but not necessarily global preference due hidden contributions. Don't say \"always prefers up\" etc.\n\nReasoning:\n- Fixed symmetric maze support rules out Snake (whole interior accessible, only one reward food; no internal walls), Frogger/racing (lanes, horizontal/vertical translation not symmetric labyrinth), Breakout/Pong (agent restricted edge), Catch (agent bottom row), Space Invaders etc.\n- Sokoban also has walls and targets but objects don't move autonomously, usually box-pushing puzzle maps not open symmetric maze and reward target channels; strong ch1/ch4 at every corridor could fit boxes? But less likely. Could mention \"Sokoban/generic maze is less consistent with substantial moving-object and temporal weights across all corridors and no-op suppressed.\"\n- Pacman fits all 5 channels naturally: agent Pac-Man, ghosts, pellets, walls, previous positions.\n\nGame: \"Pac-Man — a small/mini Pac-Man gridworld on the fixed 8×8 maze, with pellets and moving ghosts.\" Could use \"Mini-Pac-Man\" but if resembles well-known, name Pac-Man. Avoid claiming official MiniPacman. \"a compact Pac-Man clone\" specific.\n\nDescription: \"The agent navigates the maze to eat reward pellets/food, gaining reward for collecting them, while moving around walls and avoiding roaming ghosts (and presumably episodes end on ghost contact).\" One or two sentences. Do I know reward perhaps for eating ghosts? No. Keep core.\n\nConfidence: 97% perhaps. Use 96%.\n\nBefore finalize, consider whether map could indicate \"Pac-Man\" vs \"Dungeon Escape\" known game \"Maze: eat apples and avoid enemies\". Pac-Man best. Good.\n\nI'll ensure no issue with response length. I can give ~700-1000 words? Probably 500-700. Observations detailed enough. Perhaps 600. I can include mask and full map, quotes. No need to list all weights.\n\nI'll calculate exact references to quote in response:\n- r1c1 ch0 input55 values \"1.706 -3.242 0.524 -1.906 ... -3.734 4.081 ...\" good.\n- r1c1 ch1 input56 \"-1.161 ... 2.453 1.978 ...\" good.\n- r2c2 ch0 input110 \"-0.042 0.119 0.015 -0.058 ...\" all small; ch1 input111 \"0.019 -0.121...\" etc. r2c2 is wall according map. Good.\n- r2c4 ch0 input120 \"-3.315 -3.218 -1.212 ... 5.140 4.144 ...\" big. Good.\n- r3c2 cell32 ch0 input160? cell32*5=160, value \"-0.034 0.068 -0.088...\" small. Good.\n- r4c4 cell44 ch0 input220 \"0.040 0.035...\" small central wall.\n- r8c8 ch0 input440 .955 etc. Good.\nNo need input indices perhaps references enough.\n\nMap large-support `#` uses strong at playable. I can show full maze inferred:\n```\n########## (border/wall)\n#........#\n#.##..##.#\n#.#....#.#\n#...##...#\n#...##...#\n#.#....#.#\n#.##..##.#\n#........#\n##########\n```\nWhere `.` are strong-support playable. This is quite compelling. But risk my map off by one? I'll double-check all row counts with initial data. If first huge line was input54 not 55, mask could shift? Should verify first 55 lines count more carefully to ensure. I'll count initial rows manually with cell grouping to confirm. At start:\ncell0 (r0c0) lines 0-4: first 5 given:\n1 -0.051...\n2 -0.003...\n3 -0.085...\n4 -0.023...\n5 -0.004...\ncell1 lines5-9:\n6 -0.012...\n7 0.067...\n8 0.091...\n9 -0.119...\n10 -0.079...\ncell2 lines10-14:\n11 0.032...\n12 0.052...\n13 0.048...\n14 0.009...\n15 0.087...\ncell3:\n16 0.017...\n17 0.012...\n18 0.010...\n19 -0.120...\n20 -0.008...\ncell4:\n21 0.035...\n22 -0.058...\n23 0.052...\n24 -0.052...\n25 0.038...\ncell5:\n26 -0.040...\n27 -0.075...\n28 -0.105...\n29 0.106...\n30 -0.054...\ncell6:\n31 0.011...\n32 -0.128...\n33 0.002...\n34 -0.051...\n35 -0.023...\ncell7:\n36 -0.023...\n37 -0.090...\n38 0.032...\n39 0.014...\n40 0.067...\ncell8:\n41 -0.002...\n42 -0.030...\n43 -0.070...\n44 0.012...\n45 -0.020...\ncell9:\n46 0.036...\n47 0.005...\n48 0.057...\n49 -0.015...\n50 0.055...\ncell10 r1c0:\n51 -0.029...\n52 0.002...\n53 0.008...\n54 0.006...\n55 0.042...\nWait! According to this count, after 55 lines, next line is \"0.090 -0.029...\"? I'll compare prompt around there. Should revisit prompt first section to ensure first huge at line? I'll list exact prompt sequence from top with numbering, as I just did perhaps omitted/extra. The prompt after 0.042... line:\n\"0.090 -0.029 -0.024 ...\" \nthen huge \"1.706 ...\"\nSo if my count is correct, 0.090 is line56? That would make huge line57, not input55. But each cell pattern may be shifted? Should verify count. I may have misgrouped because sequence count. I'll carefully enumerate from prompt exact with numbering to validate. Very important.\n\nI'll copy start raw and number:\n1 `-0.051 0.030 ...` \n2 `-0.003 0.005 ...`\n3 `-0.085 -0.029 ...`\n4 `-0.023 -0.001 ...`\n5 `-0.004 -0.138 ...`\n6 `-0.012 -0.105 ...`\n7 `0.067 -0.036 ...`\n8 `0.091 0.062 ...`\n9 `-0.119 -0.006 ...`\n10 `-0.079 0.007 ...`\n11 `0.032 0.004 ...`\n12 `0.052 0.035 ...`\n13 `0.048 -0.068 ...`\n14 `0.009 0.018 ...`\n15 `0.087 -0.050 ...`\n16 `0.017 -0.112 ...`\n17 `0.012 -0.001 ...`\n18 `0.010 -0.018 ...`\n19 `-0.120 -0.149 ...`\n20 `-0.008 0.073 ...`\n21 `0.035 -0.022 ...`\n22 `-0.058 0.023 ...`\n23 `0.052 -0.010 ...`\n24 `-0.052 0.022 ...`\n25 `0.038 0.031 ...`\n26 `-0.040 0.037 ...`\n27 `-0.075 0.170 ...`\n28 `-0.105 0.033 ...`\n29 `0.106 -0.023 ...`\n30 `-0.054 -0.010 ...`\n31 `0.011 -0.107 ...`\n32 `-0.128 -0.002 ...`\n33 `0.002 -0.003 ...`\n34 `-0.051 0.068 ...`\n35 `-0.023 0.040 ...`\n36 `-0.023 0.040 -0.058 0.168 ...` (yes distinct)\n37 `-0.090 0.049 ...`\n38 `0.032 -0.031 ...`\n39 `0.014 -0.163 ...`\n40 `0.067 0.002 ...`\n41 `-0.002 0.044 ...`\n42 `-0.030 -0.109 ...`\n43 `-0.070 0.123 ...`\n44 `0.012 0.014 ...`\n45 `-0.020 0.014 ...`\n46 `0.036 -0.002 ...`\n47 `0.005 0.036 ...`\n48 `0.057 -0.091 ...`\n49 `-0.015 -0.012 ...`\n50 `0.055 0.086 ...`\n51 `-0.029 -0.060 ...`\n52 `0.002 0.008 ...`\n53 `0.008 -0.053 ...`\n54 `0.006 0.004 ...`\n55 `0.042 -0.022 ...`\n56 `0.090 -0.029 ...`\n57 huge `1.706 ...`\n58 `-1.161 ...`\n59 `0.202 ...`\n60 `0.057 ...`\n61 `0.487 ...`\n62 huge `1.694...`\n\nSo huge at W1 row index 56 (0-based) if 1-based 57. Input 56 = r1c1 ch1, not ch0. Hmm. My assumption of first big cell's five-line pattern may be shifted: line56 0.090 is ch0 (small), line57? I'll use 0-based: line number 56 in 1-based? Wait avoid confusion.\n\nThere are 56 lines before huge? I counted huge as 57th 1-based, so 0-based index56. That equals cell11 channel1. Then following:\nindex57 ch2 = -1.161... (medium)\nindex58 ch3 = .202... special -1.49\nindex59 ch4 = .057... small\nindex60 next cell r1c2 ch0 = .487... medium\nindex61 next cell r1c2 ch1 = 1.694... huge\nindex62 ch2 = -.015... large\nindex63 ch3 = .352... special -2.361\nindex64 ch4 = .049... small\nindex65 next cell r1c3 ch0 = .209... medium\nindex66 ch1 = 4.742... huge\nindex67 ch2 = -.189... medium\nindex68 ch3 = -.372... special\nindex69 ch4 = .052... small\nindex70 next cell ch0 = .519... medium\n...\nThis suggests repeating 5-line pattern offset by one: [ch0 medium ~0.5, ch1 huge ~3, ch2 medium ~1, ch3 special small with one big, ch4 tiny]. At wall cells, all small. So large support still same map but channel roles different: huge is channel1 moving objects, not agent; ch0 medium. Interesting! Should confirm why there is extra line 0.090 at r1c1 ch0. It is small ~.1, unlike other ch0 medium .487 etc. Could be first agent position r1c1 never? Wait perhaps first big at input55 actually if I miscount one line earlier? Should verify count against 500 lines and border pattern. There should be 50 lines row0, 5 lines r1c0 = total55. Then input55 r1c1 ch0. If huge at 57th 1-based (index56), then input55 is 0.090. So yes r1c1 ch0 small, input56 huge. Does this mean first line count includes 51? Perhaps there are only 54 before? I'll verify grouping from raw: The first 50 exactly? Could check pattern every fifth line ch4 moderate in playable but border all small, so not discernible. Should use last lines or total? It seems likely raw generated W1 rows and first large at input56 intentionally? Could be game agent never at r1c1? Hmm.\n\nI'll think why ch0 at r1c1 small but ch0 at other open cells medium. Could be agent cannot be at r1c1 because reward spawn? Yet all other open cells agent can. r1c1 perhaps ghost-only? In Pacman, ghosts can be anywhere, agent start not top-left but can go there eventually. Training might rarely visit r1c1? Could be. More likely first huge at ch0 if count off.\n\nI'll carefully inspect start sequence count using cells and patterns. Perhaps cell0 line count includes 6? No. I'll group by semantic W1 statistics: At border cells, weights all small but some ch4 lines have characteristic values? Not helpful. At playable open cell, I expect five pattern from observed after huge:\n- .487 line (moderate)\n- 1.694 huge\n- -.015 line (large)\n- .352 line (special)\n- .049 line (small)\n- .209 line (moderate)\n- 4.742 huge\n...\nThis is definitely 5-line cycle if .487 begins ch0. Sequence for r1c2:\nch0 .487\nch1 1.694\nch2 -.015\nch3 .352\nch4 .049\nFor r1c3:\nch0 .209\nch1 4.742\nch2 -.189\nch3 -.372\nch4 .052\nFor r1c4:\nch0 .519\nch1 1.221\nch2 -.093\nch3 -.105\nch4 -.007\n... yes.\nThen r1c1 could be:\nch0 .090 (small)\nch1 1.706 huge\nch2 -1.161 medium\nch3 .202 special\nch4 .057 small\nThis fits exactly. So my channel assignments were shifted: ch0 medium ~.5; ch1 huge random; ch2 medium; ch3 small except special; ch4 tiny. At walls, all tiny.\n\nBut wait channel4 was supposed previous frame, which should be medium on playable cells if tracks movement. Under new assignment ch4 tiny ~.05. That would mean previous frame largely unused, plausible. Channel0 agent weights medium ~0.5 with patterned hidden units, channel1 moving object weights huge random, channel2 reward weights medium-large random? Why would reward targets have huge random weights at every open cell? Could be pellets indeed important, while agent weights moderate. Channel3 obstacles special -1.49 etc? Hmm channel3 at open cells always 0, at walls constant 1. But special values at open cell ch3 wouldn't be trained if always 0, so can't have large -4.876 unless weight decay? Could be large initial random? No small surrounding. So perhaps channel assignment still wrong semantically.\n\nAlternative grouping starting huge at ch0 with cycle [huge, medium, special, tiny, medium] is more semantically plausible: ch0 huge, ch1 medium, ch2 special, ch3 tiny, ch4 medium. But then there is extra .090 line before first huge; could be r1c0 ch4? If only 4 lines for r1c0 before? No fixed.\n\nPerhaps my count has one extra due raw first section? Should compare total number small lines before huge visually: It might be 55 small lines then .090 is actually ch4 of r1c0? I'll count cells again from raw around last 10:\nAt lines 46-50 cell9:\n46 0.036 -0.002 0.129...\n47 0.005 0.036 -0.007...\n48 0.057 -0.091 0.010...\n49 -0.015 -0.012 -0.040...\n50 0.055 0.086 0.056...\nThen cell10:\n51 -0.029 -0.060 -0.013...\n52 0.002 0.008 0.003...\n53 0.008 -0.053 -0.052...\n54 0.006 0.004 0.024...\n55 0.042 -0.022 0.039...\nThen cell11:\n56 0.090 -0.029 -0.024...\n57 1.706 ...\nYes exactly. So input55 (0-based? line56) .090. Huge at input56. Semantics under shifted cycle perhaps game channels differ: ch0 = agent with moderate weights, ch1 = moving objects huge, ch2 = reward with medium weights, ch3 = obstacles with special weights on playable cells? ch4 = previous tiny. But ch3 special large at playable cells could still be from training if obstacles sometimes appear there? Perhaps internal obstacles are not fixed walls? Could be dynamic? Or strong support map could indicate cells where channel3 is sometimes obstacles? Hmm.\n\nI'll inspect channel3 special values under new assignment:\nr1c1 ch3 input58 = .202,...,-1.490\nr1c2 ch3 input63 = .352,...,-2.361\nr1c3 ch3 input68 = -.372,...,-1.905\nr1c4 ch3 input73 = -.105,...,-.883\nr1c5 ch3 input78 = .023,...,-.004\nr1c6 ch3 input83 = .038,...,-.438\nr1c7 ch3 input88 = -.035,...,-.108\nr1c8 ch3 input93 = -.381,...,0.042\nr2c1? Should shift mapping.\nIf these are ch3 at playable cells and ch3 always 0 there, weights shouldn't change from init; but could be deliberately structured initial weights? All initial weights small random except these large at unit6. Large values cannot arise without input activation. So likely these lines are actually channel2 (reward) not ch3, supporting original grouping. This implies huge at ch0 and first huge index55, meaning there are only 55 lines before, so perhaps .090 line is input54 (r1c0 ch4) and cell10 had only four small lines before because one of my counted lines belongs elsewhere? Wait cell10 could be lines51-54 plus .090 line55? I'll recalc with 0-based:\n- If .090 is input54, it is 55th 1-based. But I counted .042 as 55th and .090 as 56th. So one extra earlier.\nPerhaps there are only 49 lines in row0 due one raw line I duplicated? Could be my numbering erroneously included line that isn't there? I'll compare raw start carefully to ensure no duplicate. I'll go through prompt exact with groups of 5 as printed, perhaps I made one arithmetic error not duplication. 55 lines before huge expected. I counted 56 lines before huge. One extra. Could be there are actually 54 lines before .090? Should use groups in prompt and count specific landmarks. I can count by chunks 10 from raw. Already did. Could there be first huge at input55 and .090 at input54, meaning .042 is input53, .006 input52, .008 input51, .002 input50, -.029 input49? That would shift cell10 start etc. Then cell9 and cell10 weird but possible. The extra line could be at very beginning? Did I count input0 through input? There are definitely 56? Hmm.\n\nI'll derive using periodic pattern at bottom to determine offset independent of start. At end row9 all 50 lines small, no help. But map periodic rows can reveal channel4 pattern: Under original grouping, every open cell ch4 has moderate ~0.5 and under shifted, ch0 moderate. Which one more plausible based on values across cell and wall? At border, ch4 perhaps previous frame agent/moving can never be on border, so should remain initial small. At open cells, if ch4 is used, should be trained. Both agent and previous used likely. Look at moderate vector values across playable cells: .487, .209, .519, .013, .353, .095, .433, -.155, ... These have remarkably similar patterns across cells! E.g:\nr1c2 moderate .487 -0.215 -0.550 0.253 -0.004 -0.241 -0.739 -0.646 0.176 -1.316 -0.244 -0.529 0.593 -0.225 0.118 -0.180 -0.171 0.159 0.280 -0.535 -0.108 0.115 0.452 -0.424 0.464 -0.106 0.267 0.514 -0.203 0.550 0.372 -0.075\nr1c3 .209 -0.094 -0.480 0.160 0.012 -0.015 -0.129 -0.460 -0.128 -0.730 -0.057 0.124 0.533 0.531 0.323 0.073 0.145 0.048 -0.211 -0.863 -0.008 0.520 0.426 -0.662 -0.046 -0.125 -0.047 0.220 -0.379 0.385 0.367 0.068\nr1c4 .519 .056 -.478 .165 .036 .631 1.043 -.148 .029 -1.343 ...\nThese all share unit9 negative (~-.7 to -2), unit23 negative (~-.4), etc. Looks like a common template, likely **channel0 agent weights** learned to encode position? Or **channel4 previous frame**? The previous frame includes union of agent and moving object positions, so its weights might be a mixture/template of agent and moving weights. Could be similar to ch1 medium? I'll compare huge and medium vectors not similar. Moderate template could be previous frame, because at each open cell previous frame channel is often active, yielding general features independent of exact game entity. Agent weights huge random? Hmm.\n\nUnder original grouping:\n- ch0 huge random ~3: agent.\n- ch1 medium random ~1: moving objects.\n- ch2 special: rewards.\n- ch3 tiny: obstacles.\n- ch4 moderate template: previous frame.\nThis is perfectly coherent.\nUnder shifted grouping:\n- ch0 moderate template: agent.\n- ch1 huge random: moving objects.\n- ch2 medium random: reward targets.\n- ch3 special: obstacles.\n- ch4 tiny: previous frame.\nLess coherent because previous frame unused and obstacles large at places with no obstacles. So original grouping is almost certainly correct. Therefore my line count must be off by one; perhaps first huge is input55, and .090 is input54. Then there are 55 lines before huge including .090? Wait if huge 0-based55, there are 55 rows indices0-54 before it. .090 index54. That means .090 is 55th line. My count said .090 56th. So one duplicate in my count. Original cycle begins:\nindex54 .090 = r1c0 ch4\nindex55 huge r1c1 ch0\nindex56 -1.161 ch1\nindex57 .202 ch2\nindex58 .057 ch3\nindex59 .487 ch4\nindex60 1.694 next ch0\n...\nSo r1c0 five lines would be indices50-54: which raw lines? Should be [0.055? no]. I'll map backwards: index54 .090, index53 .042, index52 .006, index51 .008, index50 .002? Then r1c0 lines = .002,.008,.006,.042,.090? That's 5? Actually .002 (input50), .008(51), .006(52), .042(53), .090(54) = 5, and -.029 would be input49 (r0c9 ch4). Then r0c9 lines input45-49: -.015? I'll map:\ninput45? -0.020? Should not handle. This implies there are only 4 lines between -.029 and .090? I'll list raw end:\n... 0.055 0.086 ...\n-0.029 -0.060 ...\n0.002 0.008 ...\n0.008 -0.053 ...\n0.006 0.004 ...\n0.042 -0.022 ...\n0.090 -0.029 ...\n1.706...\nIf input50 .002, then input49 -.029, input48 .055. So r0c9 would start input45 with perhaps .005? Sequence:\n0.036 (perhaps input44)\n0.005 (45)\n0.057(46)\n-0.015(47)\n0.055(48)\n-.029(49)\nThis is six lines from .005 to -.029? .005,.057,-.015,.055,-.029 = 5 actually. Good. r0c9 cell 9: ch0 .005, ch1 .057, ch2 -.015, ch3 .055, ch4 -.029. Then r1c0: ch0 .002,ch1 .008,ch2 .006,ch3 .042,ch4 .090. That works. So raw 0.036 is previous cell ch4. No issue. My earlier grouping had r0c9 start .036 and r1c0 start -.029, shifted by one. The true grouping could be this, and my count just one too many somewhere before. It yields coherent pattern. So original assignments stand.\n\nCheck map alignment with original cycle and raw positions after r1 etc based on periodic huge cells. If first huge input55, subsequent huge at 60,65,... through r1c8 input90? r1c8 cell18 ch0 =90. Sequence huge values:\nr1c1 1.706 (55)\nr1c2 1.694 (60)\nr1c3 4.742 (65)\nr1c4 1.221 (70)\nr1c5 -0.940 (75)\nr1c6 .486 (80)\nr1c7 .390 (85)\nr1c8 1.314 (90)\nThen cell19 border lines95-99 small:\ninput95 .056? Wait after r1c8 pattern:\nch0 1.314 at90\nch1 .199 at91\nch2 -.381 at92\nch3 -.122 at93\nch4 -.155 at94\nThen next raw .056 at95\n-.143 at96\n.025 at97\n-.120 at98\n.051 at99\nThen cell20 border input100 .057\n101 -.095\n102 .028\n103 -.010\n104 .036\nThen r2c1 input105 -.188 huge. Perfect. So map and assignments coherent. Good.\n\nTherefore initial raw line count has one extra due I counted 56 instead of55; no matter.\n\nNow channel4 moderate template consistent. Good.\n\nOne thing: channel2 special large at r2c4 etc is fine because pellets active. ch3 tiny. Great.\n\nNow I'll analyze exact maze map in terms of large ch0. Good.\n\nPotential clue: strong ch0 and ch1 positions at open cells, reward channel mostly special, obstacle channels small, previous frame template. This is Pac-Man.\n\nCan I infer from reward channel structure that there are *no internal obstacles?* Already map.\n\nPerhaps game \"Pacman\" has **moving objects = ghosts**, but their weights are only medium and agent large. Good.\n\nWhy ch0 huge random and ch4 template? MLP trained PPO may have large first layer due input sparse. fine.\n\nI'll explore possible alternative \"Pac-Man with one ghost vs multiple\". No need.\n\nOutput b3 could indicate action ordering: 0 no-op negative, directions used. In Pacman, no-op not useful; in Snake no-op also perhaps continue direction? But maze map strongest.\n\nI'll consider whether game could be \"Snake\" played on a maze with static obstacles (a variant \"Snake\" in `gym-gridworld`)? Channel1 moving objects in Snake could be snake body? But food reward and obstacles. However, previous frame would help body direction, and strong mask open cells. Yet classic Pac-Man maze map and moving objects ghosts more natural. Could the game be \"Nibbler\" with maze? Nibbler is snake in maze, has reward targets and obstacles, no independent moving objects. Channel1 would be unused, but I see large ch1 weights. So not.\n\nCould be \"Sokoban\" with boxes as moving objects. Sokoban maps usually walls surround irregular puzzle and goals few, reward sparse. Agent and boxes can occupy all open cells; previous frame helpful little. Map symmetric open Pacman maze not Sokoban. So Pacman.\n\nI should explicitly say \"not Frogger/Catch/Pong/Breakout because strong support isn't restricted to lanes/edges; not Snake because internal fixed wall mask and independent moving-object channel; not Sokoban because moving object + temporal weights across entire maze and symmetric pellet maze.\" Fine.\n\nPerhaps reward in Pacman is **eating food pellets and sometimes ghosts**, but description can be minimal.\n\nConfidence 98? The maze full layout strongly Pacman. Use 97%.\n\nShould make response order exact with labels:\nObservations: ...\nReasoning: ...\nGame: ...\nDescription: ...\nConfidence: 97%\n\nCan have line breaks/bullets within Observations/Reasoning. That's okay.\n\nI'll draft:\n\nObservations:\n- Almost all W1 rows on border and some interior cells are small (~0.0–0.2). On other interior cells, ch0 has very large cell-specific vectors and ch1 also large; ch4 moderate. Quote r1c1 ch0 and r2c4 etc. This produces support mask. Use # and . and explain # strong support.\n- The mask translates to full maze if desired. Could show one mask only to avoid redundancy. Full map with walls more intuitive. Perhaps include both? Overkill. Use support mask and say dots correspond to fixed internal wall blocks; outer ring border yields exact Pacman maze.\n- Channel 2 sparse structured on playable cells; quote -4.876 etc. Channel 3 small. ch4 quote.\n- Output W3 examples and b3.\n\nReasoning:\n\"An MLP can only learn such a fixed support mask if agent/ghost/prev positions occur on corridor cells and never on wall cells. The highly symmetric labyrinth with independent moving entities, targets and temporal input fits Pac-Man. ...\"\n\nGame: \"Pac-Man (a compact/mini Pac-Man gridworld with pellets and moving ghosts).\"\n\nDescription: ...\n\nConfidence.\n\nMake sure quotes numbers match exactly:\nr1c1 ch0 huge full vector start and end. `1.706 -3.242 0.524 -1.906 ... -3.734 4.081 ...` yes.\nr2c4 ch0 `-3.315 -3.218 -1.212 ... 5.140 4.144 ...` yes.\nWall r2c2 ch0 `-.042 .119 .015 -.058 ...` small. Central wall r4c4 ch0 `.040 .035 -.017 ...` small. Good.\nr1c1 ch4 `.487 -.215 -.550 ... -1.316 ...` moderate. Actually under original mapping r1c1 ch4 is .487? Wait r1c1 pattern ch0 huge, ch1 -1.161, ch2 .202, ch3 .057, ch4 .487. Yes.\nr2c1 ch4 .374 etc. Good.\nChannel2 r2c4 ch2 `-.023 -.032 .145 ... -4.876 ...` yes.\nr1c2 ch2 .352... -2.361.\nW3 row indexing not necessary, say \"one hidden unit has output weights ...\" exactly:\n`(-0.050,-1.608,-1.018,0.033,2.500)` right strong. This is W3 row28 (0-based 28).\nAnother `(0.469,0.459,2.307,-1.683,0.191)` down strong.\nb3 exact.\nThis supports all directions.\n\nCould output biases alone imply no-op suppressed? Yes baseline no hidden h2 all zero, but h2 biases not zero; still b3 lowest. Say \"the bias term itself\" to be precise.\n\nChannel 0 large at every playable cell? Magnitudes vary but yes. Some open cell ch0 values huge up to 7.277 etc. Channel1 large. At walls small. Good.\n\nNo need to compute W2; mention W2 dense ~O(1), so spatial identification comes from W1. Not needed.\n\nOne nuance: The mask `#` as strong support might be misread as walls. Explain clearly: `# = large agent/moving/previous weights = traversable; . = near-zero = unreachable internal wall`. Then full map:\n```\n######## [support]\n#..##..#\n...\n```\nThe top/bottom all strong, left/right columns strong. This shape is like maze corridors. Pacman map often has outer ring open corridor. Yes.\n\nReasoning from channel3 small: static obstacle input contributes little because maze walls are constant; network encodes them indirectly by valid positions. Do not claim obstacle weights at wall cells are exactly zero; small.\n\nConfidence 97. Fine.\n\nI'll think if there is any chance game is \"Pac-Man without pellets but rewards for reaching exit\" e.g \"MazeRunner\" with ghosts. Reward target channel structure could be one target. The known map and moving ghosts still Pacman-like. If only single reward target, game \"Pacman\" could still have food target. Description likely accepted.\n\nCould reward targets actually **food in Snake**, and strong map is not maze but *food spawns*? No.\n\nI'll inspect reward channel ch2 large special unit6 pattern at top-left and r2c4. Why would only early cells have special weights? Could be **power pellets**? Hmm. Perhaps reward channel is not pellets at every open cell but **apple**, and W1 special weights depend on distance to start? The spatial pattern of special unit6 values along row1: -1.49, -2.361, -1.905, -.883, -.004, -.438, -.108, .042. r2c1 -.628, r2c4 -4.876, r2c5 -.854. This seems arbitrary training. If pellets at all open cells, reward channel weights should be used at all and potentially grow, but only some strong due hidden unit saturation/credit. plausible.\n\nAnother possibility: This is **Pac-Man with \"food\" channel always 1 at all open cells at start**, so reward channel features can learn where remaining pellets are. Yes.\n\nWhy ch0 vectors are huge random at each open cell? Agent position heavily determines action; expected. ch1 vectors smaller because ghosts matter less. Previous frame moderate because movement direction. Great.\n\nThe exact full map perhaps standard from `PacmanSimplified` where reward dots in all free positions. Very likely.\n\nI can respond now. But token budget huge, perhaps there is hidden twist: Could game be **Pac-Man** but agent is ghost and rewards Pacman? I'll see output action/noop etc cannot tell. Description standard.\n\nQuestion says \"which game was it trained on?\" likely expects one of e.g. `snake`, `pacman`, `frogger`. I respond precise.\n\nI'll think if map could be **Bomberman** classic grid. Bomberman maps have hard walls in checkerboard pattern (every other cell), not this labyrinth. Moving enemies and reward targets (powerups) possible, obstacles walls. But Bomberman agent can place bomb (action needed), yet only 5 actions (no bomb), so no. Good.\n\n**Sokoban** needs no separate action, 5 possible, but map could be symmetric. However reward targets and boxes; no independent moving objects. Channel1 described \"things other than agent that move\" includes boxes only when pushed. Could still. But no-op negative and ch4 strong across maze suggests Pacman.\n\n**Pacman** action no-op sometimes allowed, yes.\n\n**Q*bert** grid not rectangular, no.\n\n**Frogger** strong support lanes and obstacle border perhaps map symmetric vertically? Frogger grid could have open median/rows but internal walls not.\n\n**Snake** internal walls no.\n\nDone.\n\nShould I include confidence 96 or 98? 97.\n\nI'll prepare response around 650 words. Ensure labels exactly and description one-two sentences. Use semicolons.\n\nOne issue in response: if I say r2c2 is a wall and r2c4 open, mapping is correct under full maze. Yes.\n\nI'll derive full maze map from support and include in reasoning perhaps:\n```\n#........#\n#.##..##.#\n#.#....#.#\n#...##...#\n#...##...#\n#.#....#.#\n#.##..##.#\n#........#\n```\n(inside border). This is 8 rows of 10 chars with side border. This visual is unmistakable. Could show this instead of support mask. But observations should work from weights, and mask enough. I can include support mask and mention corresponding walls. Avoid two maps.\n\nQuotes output:\nb3 = [-0.873, 0.703, 0.712, 0.595, -0.092]. \"No-op has the only clearly negative movement bias; right slightly negative\" actually right -.092. Up/down/left positive. Fine.\nW3 values show all actions context dependent. Do not infer action preference globally.\n\nChannel 3 \"wall border always on, so constant features can be absorbed into biases and are not informative\" technically border wall channel is constant across episodes and positions, but interior wall pattern also constant. It can be ignored because agent position suffices. Good.\n\nI'll respond."
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  498. "text": "Observations: \n- **Channel 0 (agent)** has very large, cell-specific weights on a particular set of interior cells, while **channel 1 (moving objects)** and **channel 4 (previous frame)** have substantial weights on essentially the same cells. For example, at row 1, column 1, channel 0 begins `1.706 -3.242 0.524 -1.906 ...` and includes `-3.734` and `4.081`; at row 2, column 4 it begins `-3.315 -3.218 -1.212 ...` and includes `5.140` and `4.144`. These look like learned position detectors, not smooth spatial filters.\n- Cells outside that set have only small, approximately initialization-sized weights. For example, row 2, column 2, channel 0 starts `-0.042 0.119 0.015 -0.058 ...`, and the central row-4/column-4 weights are similarly small. Marking cells with large agent/moving-object weights as `#` gives the following support pattern over the inner 8×8 grid:\n ```text\n ########\n #..##..#\n #.####.#\n ###..###\n ###..###\n #.####.#\n #..##..#\n ########\n ```\n Thus `#` cells are reachable/used positions and the `.` cells form fixed, symmetric internal wall blocks. Together with the border, this is a small labyrinth with an open corridor around its edge.\n- **Channel 2 (reward targets)** is weaker overall but has scattered, strong position-specific structure on playable cells. For instance, row 2, column 4 contains `-4.876` in one hidden-unit weight, while row 1, columns 1 and 2 contain `-1.490` and `-2.361` at the corresponding hidden unit. This is consistent with collectible food or pellets at maze locations.\n- **Channel 3 (obstacles)** has no comparably large dynamic position detectors; most weights are around a few hundredths or tenths. The walls are static, so the policy can represent the maze implicitly through where agent, moving-object, reward, and history features occur. **Channel 4** has moderate, repeated structure on corridor cells—for example row 1, column 1 starts `0.487 -0.215 -0.550 ...` and includes `-1.316`—consistent with using previous positions to help infer motion.\n- The output layer is genuinely directional rather than collapsed to one action. Examples include `(0.469, 0.459, 2.307, -1.683, 0.191)`, strongly favoring down for one feature, and `(-0.050, -1.608, -1.018, 0.033, 2.500)`, strongly favoring right for another. The biases are `[-0.873, 0.703, 0.712, 0.595, -0.092]`: no-op has the lowest bias, while up, down, and left have positive baseline biases.\n\nReasoning: \nThe fixed symmetric maze immediately rules out games whose agent is confined to an edge, such as Pong, Breakout, or ordinary Catch. Frogger-like games would produce lane-based rather than labyrinthine support. Ordinary Snake would use the whole interior and would not explain both these permanent internal wall blocks and the substantial independent moving-object channel. Sokoban is closer because it has walls and movable boxes, but its objects do not continually move autonomously, and its maps are usually puzzle arrangements rather than this open, highly symmetric maze with temporal motion features throughout.\n\nAll five channels have a natural interpretation in **Pac-Man**: channel 0 is Pac-Man, channel 1 contains roaming ghosts, channel 2 contains food/pellets, channel 3 contains the fixed maze walls, and channel 4 helps track movement. The discouraged no-op also fits continual maze navigation.\n\nGame: **Pac-Man**, specifically a compact Pac-Man-style gridworld on a fixed 8×8 maze with collectible pellets and moving ghosts.\n\nDescription: The agent navigates the maze collecting food/pellet targets for reward while walls constrain its movement and roaming ghosts must be avoided.\n\nConfidence: 97%",
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