{"cells":[{"metadata":{"trusted":true},"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nfrom sklearn.preprocessing import StandardScaler\nfrom sklearn.metrics import mean_absolute_error\nfrom sklearn.metrics import log_loss","execution_count":1,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"ls ../input","execution_count":2,"outputs":[{"output_type":"stream","text":"\u001b[0m\u001b[01;34mLANL-Earthquake-Prediction\u001b[0m/  \u001b[01;34mandrews-new-stuff\u001b[0m/\r\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"X = pd.read_csv('../input/andrews-new-stuff/train_features.csv')\nX_test = pd.read_csv('../input/andrews-new-stuff/test_features.csv')\ny = pd.read_csv('../input/andrews-new-stuff/y.csv')\nsubmission = pd.read_csv('../input/andrews-new-stuff/submission.csv')\n","execution_count":3,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"X.shape","execution_count":4,"outputs":[{"output_type":"execute_result","execution_count":4,"data":{"text/plain":"(4195, 831)"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"X.head()","execution_count":5,"outputs":[{"output_type":"execute_result","execution_count":5,"data":{"text/plain":"   Hann_window_mean_150      ...              trend\n0              4.883327      ...      -3.268300e-06\n1              4.725049      ...       9.090424e-07\n2              4.905511      ...       3.962182e-06\n3              4.901428      ...       1.637207e-06\n4              4.908115      ...      -6.668392e-07\n\n[5 rows x 831 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Hann_window_mean_150</th>\n      <th>Hann_window_mean_1500</th>\n      <th>Hann_window_mean_15000</th>\n      <th>Hann_window_mean_50</th>\n      <th>Hilbert_mean</th>\n      <th>abs_max</th>\n      <th>abs_max_roll_mean_10</th>\n      <th>abs_max_roll_mean_100</th>\n      <th>abs_max_roll_mean_1000</th>\n      <th>abs_max_roll_mean_10000</th>\n      <th>abs_max_roll_mean_50</th>\n      <th>abs_max_roll_mean_500</th>\n      <th>abs_max_roll_std_10</th>\n      <th>abs_max_roll_std_100</th>\n      <th>abs_max_roll_std_1000</th>\n      <th>abs_max_roll_std_10000</th>\n      <th>abs_max_roll_std_50</th>\n      <th>abs_max_roll_std_500</th>\n      <th>abs_mean</th>\n      <th>abs_percentile_1</th>\n      <th>abs_percentile_10</th>\n      <th>abs_percentile_20</th>\n      <th>abs_percentile_25</th>\n      <th>abs_percentile_30</th>\n      <th>abs_percentile_40</th>\n      <th>abs_percentile_5</th>\n      <th>abs_percentile_50</th>\n      <th>abs_percentile_60</th>\n      <th>abs_percentile_70</th>\n      <th>abs_percentile_75</th>\n      <th>abs_percentile_80</th>\n      <th>abs_percentile_90</th>\n      <th>abs_percentile_95</th>\n      <th>abs_percentile_99</th>\n      <th>abs_std</th>\n      <th>abs_trend</th>\n      <th>autocorrelation_10</th>\n      <th>autocorrelation_100</th>\n      <th>autocorrelation_1000</th>\n      <th>autocorrelation_10000</th>\n      <th>...</th>\n      <th>range_-3000_-2000</th>\n      <th>range_-4000_-3000</th>\n      <th>range_0_1000</th>\n      <th>range_1000_2000</th>\n      <th>range_2000_3000</th>\n      <th>range_3000_4000</th>\n      <th>range_minf_m4000</th>\n      <th>range_p4000_pinf</th>\n      <th>skew</th>\n      <th>spkt_welch_density_1</th>\n      <th>spkt_welch_density_10</th>\n      <th>spkt_welch_density_100</th>\n      <th>spkt_welch_density_5</th>\n      <th>spkt_welch_density_50</th>\n      <th>std</th>\n      <th>std_first_1000</th>\n      <th>std_first_10000</th>\n      <th>std_first_50000</th>\n      <th>std_last_1000</th>\n      <th>std_last_10000</th>\n      <th>std_last_50000</th>\n      <th>std_roll_mean_10</th>\n      <th>std_roll_mean_100</th>\n      <th>std_roll_mean_1000</th>\n      <th>std_roll_mean_10000</th>\n      <th>std_roll_mean_50</th>\n      <th>std_roll_mean_500</th>\n      <th>std_roll_std_10</th>\n      <th>std_roll_std_100</th>\n      <th>std_roll_std_1000</th>\n      <th>std_roll_std_10000</th>\n      <th>std_roll_std_50</th>\n      <th>std_roll_std_500</th>\n      <th>sum</th>\n      <th>time_rev_asym_stat_1</th>\n      <th>time_rev_asym_stat_10</th>\n      <th>time_rev_asym_stat_100</th>\n      <th>time_rev_asym_stat_5</th>\n      <th>time_rev_asym_stat_50</th>\n      <th>trend</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>4.883327</td>\n      <td>4.876661</td>\n      <td>4.809076</td>\n      <td>4.883860</td>\n      <td>7.027028</td>\n      <td>104.0</td>\n      <td>68.5</td>\n      <td>10.04</td>\n      <td>5.629</td>\n      <td>5.2457</td>\n      <td>12.82</td>\n      <td>6.042</td>\n      <td>78.313047</td>\n      <td>52.335255</td>\n      <td>31.029445</td>\n      <td>11.207164</td>\n      <td>61.404926</td>\n      <td>38.430379</td>\n      <td>5.576567</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n      <td>7.0</td>\n      <td>7.0</td>\n      <td>8.0</td>\n      <td>10.0</td>\n      <td>12.0</td>\n      <td>20.0</td>\n      <td>4.333325</td>\n      <td>-0.000011</td>\n      <td>-0.469692</td>\n      <td>0.000897</td>\n      <td>-0.004982</td>\n      <td>0.006429</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>138430</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>-0.024061</td>\n      <td>10.274048</td>\n      <td>331.303127</td>\n      <td>7.080859</td>\n      <td>90.706500</td>\n      <td>15.608985</td>\n      <td>5.101106</td>\n      <td>4.737159</td>\n      <td>11.207151</td>\n      <td>6.488552</td>\n      <td>2.979629</td>\n      <td>4.361407</td>\n      <td>3.664663</td>\n      <td>2.801800</td>\n      <td>0.452294</td>\n      <td>0.295715</td>\n      <td>0.240132</td>\n      <td>0.606039</td>\n      <td>0.319749</td>\n      <td>2.809071</td>\n      <td>3.111524</td>\n      <td>2.769772</td>\n      <td>1.219932</td>\n      <td>3.176148</td>\n      <td>2.921016</td>\n      <td>732617.0</td>\n      <td>-0.177656</td>\n      <td>-14.764689</td>\n      <td>-1.703218</td>\n      <td>-0.958331</td>\n      <td>5.087825</td>\n      <td>-3.268300e-06</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>4.725049</td>\n      <td>4.718421</td>\n      <td>4.653152</td>\n      <td>4.725527</td>\n      <td>7.380383</td>\n      <td>181.0</td>\n      <td>145.1</td>\n      <td>16.67</td>\n      <td>5.667</td>\n      <td>4.9398</td>\n      <td>28.26</td>\n      <td>6.774</td>\n      <td>122.978273</td>\n      <td>87.972617</td>\n      <td>38.643217</td>\n      <td>13.235293</td>\n      <td>94.730087</td>\n      <td>50.915658</td>\n      <td>5.734167</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n      <td>7.0</td>\n      <td>7.0</td>\n      <td>8.0</td>\n      <td>10.0</td>\n      <td>12.0</td>\n      <td>24.0</td>\n      <td>5.732777</td>\n      <td>-0.000005</td>\n      <td>-0.450367</td>\n      <td>-0.079143</td>\n      <td>0.028924</td>\n      <td>-0.003001</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>136635</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.390561</td>\n      <td>12.343507</td>\n      <td>696.779429</td>\n      <td>6.463803</td>\n      <td>422.346989</td>\n      <td>16.771432</td>\n      <td>6.588824</td>\n      <td>2.706886</td>\n      <td>3.976750</td>\n      <td>7.305233</td>\n      <td>2.672471</td>\n      <td>3.667890</td>\n      <td>5.493071</td>\n      <td>3.924070</td>\n      <td>0.496220</td>\n      <td>0.231587</td>\n      <td>0.118394</td>\n      <td>0.764507</td>\n      <td>0.267450</td>\n      <td>4.120785</td>\n      <td>4.893431</td>\n      <td>4.492905</td>\n      <td>3.003710</td>\n      <td>4.953472</td>\n      <td>4.679236</td>\n      <td>708865.0</td>\n      <td>-0.284957</td>\n      <td>91.001093</td>\n      <td>-38.729232</td>\n      <td>71.814108</td>\n      <td>21.336684</td>\n      <td>9.090424e-07</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>4.905511</td>\n      <td>4.898921</td>\n      <td>4.832204</td>\n      <td>4.906040</td>\n      <td>8.016930</td>\n      <td>140.0</td>\n      <td>94.8</td>\n      <td>12.38</td>\n      <td>5.957</td>\n      <td>5.2859</td>\n      <td>17.36</td>\n      <td>6.462</td>\n      <td>96.247424</td>\n      <td>53.353832</td>\n      <td>35.326896</td>\n      <td>14.344677</td>\n      <td>65.431379</td>\n      <td>45.481970</td>\n      <td>6.152647</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n      <td>7.0</td>\n      <td>8.0</td>\n      <td>8.0</td>\n      <td>11.0</td>\n      <td>14.0</td>\n      <td>30.0</td>\n      <td>5.895945</td>\n      <td>0.000010</td>\n      <td>-0.480152</td>\n      <td>-0.004648</td>\n      <td>0.000682</td>\n      <td>-0.008548</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>135749</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.217391</td>\n      <td>12.595403</td>\n      <td>621.906904</td>\n      <td>6.853157</td>\n      <td>396.415823</td>\n      <td>16.479469</td>\n      <td>6.967397</td>\n      <td>2.683260</td>\n      <td>8.454717</td>\n      <td>6.104836</td>\n      <td>3.050037</td>\n      <td>9.493983</td>\n      <td>8.603696</td>\n      <td>4.179729</td>\n      <td>0.530151</td>\n      <td>0.267012</td>\n      <td>0.195749</td>\n      <td>0.811309</td>\n      <td>0.302261</td>\n      <td>4.227960</td>\n      <td>4.959233</td>\n      <td>4.402140</td>\n      <td>2.590564</td>\n      <td>5.035827</td>\n      <td>4.675514</td>\n      <td>735959.0</td>\n      <td>-0.693163</td>\n      <td>-105.719163</td>\n      <td>78.751722</td>\n      <td>-57.852130</td>\n      <td>41.037612</td>\n      <td>3.962182e-06</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4.901428</td>\n      <td>4.894639</td>\n      <td>4.827671</td>\n      <td>4.901985</td>\n      <td>7.606850</td>\n      <td>199.0</td>\n      <td>136.6</td>\n      <td>18.26</td>\n      <td>5.858</td>\n      <td>5.2169</td>\n      <td>27.72</td>\n      <td>7.114</td>\n      <td>141.450580</td>\n      <td>103.996664</td>\n      <td>52.805653</td>\n      <td>17.521969</td>\n      <td>113.368462</td>\n      <td>69.610117</td>\n      <td>5.933960</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n      <td>7.0</td>\n      <td>8.0</td>\n      <td>8.0</td>\n      <td>10.0</td>\n      <td>13.0</td>\n      <td>26.0</td>\n      <td>6.061214</td>\n      <td>-0.000002</td>\n      <td>-0.374296</td>\n      <td>-0.182497</td>\n      <td>0.003321</td>\n      <td>-0.002565</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>137391</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.757278</td>\n      <td>12.050065</td>\n      <td>317.693579</td>\n      <td>7.041170</td>\n      <td>623.474094</td>\n      <td>16.029480</td>\n      <td>6.922305</td>\n      <td>3.440866</td>\n      <td>6.866177</td>\n      <td>6.238109</td>\n      <td>2.958870</td>\n      <td>4.364430</td>\n      <td>5.652442</td>\n      <td>4.299460</td>\n      <td>0.581874</td>\n      <td>0.266700</td>\n      <td>0.173348</td>\n      <td>0.959834</td>\n      <td>0.302468</td>\n      <td>4.284176</td>\n      <td>5.247130</td>\n      <td>4.873523</td>\n      <td>3.545253</td>\n      <td>5.285204</td>\n      <td>5.054525</td>\n      <td>735336.0</td>\n      <td>0.234850</td>\n      <td>11.626424</td>\n      <td>263.667817</td>\n      <td>22.071565</td>\n      <td>-85.625097</td>\n      <td>1.637207e-06</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4.908115</td>\n      <td>4.901855</td>\n      <td>4.836297</td>\n      <td>4.908528</td>\n      <td>7.895403</td>\n      <td>145.0</td>\n      <td>107.6</td>\n      <td>14.41</td>\n      <td>6.078</td>\n      <td>5.2651</td>\n      <td>19.98</td>\n      <td>6.862</td>\n      <td>99.647657</td>\n      <td>74.460128</td>\n      <td>45.532439</td>\n      <td>16.551133</td>\n      <td>83.845592</td>\n      <td>51.765662</td>\n      <td>6.110587</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n      <td>7.0</td>\n      <td>8.0</td>\n      <td>8.0</td>\n      <td>10.0</td>\n      <td>13.0</td>\n      <td>32.0</td>\n      <td>6.329485</td>\n      <td>0.000005</td>\n      <td>-0.385905</td>\n      <td>0.008272</td>\n      <td>0.008127</td>\n      <td>-0.003854</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>137178</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.064531</td>\n      <td>14.202549</td>\n      <td>752.760456</td>\n      <td>6.487512</td>\n      <td>982.811766</td>\n      <td>16.418452</td>\n      <td>7.301110</td>\n      <td>3.515573</td>\n      <td>5.164594</td>\n      <td>5.323830</td>\n      <td>8.780798</td>\n      <td>11.404900</td>\n      <td>7.694506</td>\n      <td>4.931291</td>\n      <td>0.566267</td>\n      <td>0.228005</td>\n      <td>0.133295</td>\n      <td>0.903958</td>\n      <td>0.270427</td>\n      <td>4.183253</td>\n      <td>5.556924</td>\n      <td>5.213365</td>\n      <td>3.591268</td>\n      <td>5.610383</td>\n      <td>5.380908</td>\n      <td>736308.0</td>\n      <td>0.126008</td>\n      <td>12.574097</td>\n      <td>99.323571</td>\n      <td>18.980185</td>\n      <td>59.390660</td>\n      <td>-6.668392e-07</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"X_test.head()","execution_count":6,"outputs":[{"output_type":"execute_result","execution_count":6,"data":{"text/plain":"   Hann_window_mean_150      ...              trend\n0              4.491140      ...      -2.476946e-07\n1              4.170633      ...       2.009021e-06\n2              4.609608      ...       3.577592e-07\n3              4.530821      ...      -1.825526e-07\n4              4.127661      ...      -1.556475e-06\n\n[5 rows x 831 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Hann_window_mean_150</th>\n      <th>Hann_window_mean_1500</th>\n      <th>Hann_window_mean_15000</th>\n      <th>Hann_window_mean_50</th>\n      <th>Hilbert_mean</th>\n      <th>abs_max</th>\n      <th>abs_max_roll_mean_10</th>\n      <th>abs_max_roll_mean_100</th>\n      <th>abs_max_roll_mean_1000</th>\n      <th>abs_max_roll_mean_10000</th>\n      <th>abs_max_roll_mean_50</th>\n      <th>abs_max_roll_mean_500</th>\n      <th>abs_max_roll_std_10</th>\n      <th>abs_max_roll_std_100</th>\n      <th>abs_max_roll_std_1000</th>\n      <th>abs_max_roll_std_10000</th>\n      <th>abs_max_roll_std_50</th>\n      <th>abs_max_roll_std_500</th>\n      <th>abs_mean</th>\n      <th>abs_percentile_1</th>\n      <th>abs_percentile_10</th>\n      <th>abs_percentile_20</th>\n      <th>abs_percentile_25</th>\n      <th>abs_percentile_30</th>\n      <th>abs_percentile_40</th>\n      <th>abs_percentile_5</th>\n      <th>abs_percentile_50</th>\n      <th>abs_percentile_60</th>\n      <th>abs_percentile_70</th>\n      <th>abs_percentile_75</th>\n      <th>abs_percentile_80</th>\n      <th>abs_percentile_90</th>\n      <th>abs_percentile_95</th>\n      <th>abs_percentile_99</th>\n      <th>abs_std</th>\n      <th>abs_trend</th>\n      <th>autocorrelation_10</th>\n      <th>autocorrelation_100</th>\n      <th>autocorrelation_1000</th>\n      <th>autocorrelation_10000</th>\n      <th>...</th>\n      <th>range_-3000_-2000</th>\n      <th>range_-4000_-3000</th>\n      <th>range_0_1000</th>\n      <th>range_1000_2000</th>\n      <th>range_2000_3000</th>\n      <th>range_3000_4000</th>\n      <th>range_minf_m4000</th>\n      <th>range_p4000_pinf</th>\n      <th>skew</th>\n      <th>spkt_welch_density_1</th>\n      <th>spkt_welch_density_10</th>\n      <th>spkt_welch_density_100</th>\n      <th>spkt_welch_density_5</th>\n      <th>spkt_welch_density_50</th>\n      <th>std</th>\n      <th>std_first_1000</th>\n      <th>std_first_10000</th>\n      <th>std_first_50000</th>\n      <th>std_last_1000</th>\n      <th>std_last_10000</th>\n      <th>std_last_50000</th>\n      <th>std_roll_mean_10</th>\n      <th>std_roll_mean_100</th>\n      <th>std_roll_mean_1000</th>\n      <th>std_roll_mean_10000</th>\n      <th>std_roll_mean_50</th>\n      <th>std_roll_mean_500</th>\n      <th>std_roll_std_10</th>\n      <th>std_roll_std_100</th>\n      <th>std_roll_std_1000</th>\n      <th>std_roll_std_10000</th>\n      <th>std_roll_std_50</th>\n      <th>std_roll_std_500</th>\n      <th>sum</th>\n      <th>time_rev_asym_stat_1</th>\n      <th>time_rev_asym_stat_10</th>\n      <th>time_rev_asym_stat_100</th>\n      <th>time_rev_asym_stat_5</th>\n      <th>time_rev_asym_stat_50</th>\n      <th>trend</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>4.491140</td>\n      <td>4.484860</td>\n      <td>4.426717</td>\n      <td>4.491630</td>\n      <td>6.703153</td>\n      <td>115.0</td>\n      <td>91.6</td>\n      <td>10.42</td>\n      <td>5.495</td>\n      <td>4.8284</td>\n      <td>14.28</td>\n      <td>6.092</td>\n      <td>63.410129</td>\n      <td>50.489998</td>\n      <td>24.717247</td>\n      <td>8.759360</td>\n      <td>55.856946</td>\n      <td>33.202016</td>\n      <td>5.224607</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n      <td>6.0</td>\n      <td>7.0</td>\n      <td>8.0</td>\n      <td>9.0</td>\n      <td>11.0</td>\n      <td>19.0</td>\n      <td>4.102161</td>\n      <td>-5.446287e-07</td>\n      <td>-0.369008</td>\n      <td>-0.033550</td>\n      <td>-0.004443</td>\n      <td>-0.005776</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>136578</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.327908</td>\n      <td>10.481778</td>\n      <td>325.971693</td>\n      <td>6.721441</td>\n      <td>172.767546</td>\n      <td>16.415903</td>\n      <td>4.893690</td>\n      <td>9.138029</td>\n      <td>5.226846</td>\n      <td>5.350451</td>\n      <td>4.060994</td>\n      <td>6.019017</td>\n      <td>4.793876</td>\n      <td>2.737524</td>\n      <td>0.419927</td>\n      <td>0.231891</td>\n      <td>0.142278</td>\n      <td>0.595202</td>\n      <td>0.263762</td>\n      <td>2.499556</td>\n      <td>2.799232</td>\n      <td>2.439570</td>\n      <td>1.524127</td>\n      <td>2.862491</td>\n      <td>2.609314</td>\n      <td>673767.0</td>\n      <td>-0.052494</td>\n      <td>24.461415</td>\n      <td>-24.696669</td>\n      <td>2.838643</td>\n      <td>-2.437498</td>\n      <td>-2.476946e-07</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>4.170633</td>\n      <td>4.165608</td>\n      <td>4.111654</td>\n      <td>4.170983</td>\n      <td>6.833615</td>\n      <td>152.0</td>\n      <td>99.3</td>\n      <td>11.90</td>\n      <td>5.009</td>\n      <td>4.4692</td>\n      <td>18.42</td>\n      <td>5.422</td>\n      <td>111.724662</td>\n      <td>58.373312</td>\n      <td>29.680311</td>\n      <td>11.596170</td>\n      <td>71.140057</td>\n      <td>39.792732</td>\n      <td>5.198340</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>4.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n      <td>7.0</td>\n      <td>7.0</td>\n      <td>9.0</td>\n      <td>12.0</td>\n      <td>24.0</td>\n      <td>5.045369</td>\n      <td>-2.454491e-06</td>\n      <td>-0.418828</td>\n      <td>-0.073823</td>\n      <td>-0.009462</td>\n      <td>0.009578</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>134753</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.295708</td>\n      <td>11.074685</td>\n      <td>220.254145</td>\n      <td>6.746122</td>\n      <td>298.980714</td>\n      <td>16.948847</td>\n      <td>5.922839</td>\n      <td>3.762414</td>\n      <td>3.523253</td>\n      <td>6.249515</td>\n      <td>2.786137</td>\n      <td>3.605147</td>\n      <td>4.147562</td>\n      <td>3.492504</td>\n      <td>0.470431</td>\n      <td>0.230914</td>\n      <td>0.143844</td>\n      <td>0.720321</td>\n      <td>0.265776</td>\n      <td>3.496219</td>\n      <td>4.121631</td>\n      <td>3.753388</td>\n      <td>2.364856</td>\n      <td>4.175896</td>\n      <td>3.931232</td>\n      <td>625673.0</td>\n      <td>0.588375</td>\n      <td>185.380124</td>\n      <td>-12.056081</td>\n      <td>56.675625</td>\n      <td>53.214837</td>\n      <td>2.009021e-06</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>4.609608</td>\n      <td>4.603891</td>\n      <td>4.544624</td>\n      <td>4.610042</td>\n      <td>7.180588</td>\n      <td>248.0</td>\n      <td>209.1</td>\n      <td>19.11</td>\n      <td>6.234</td>\n      <td>4.9169</td>\n      <td>33.16</td>\n      <td>7.684</td>\n      <td>161.392000</td>\n      <td>106.296735</td>\n      <td>53.069292</td>\n      <td>20.353477</td>\n      <td>136.437844</td>\n      <td>70.587119</td>\n      <td>5.597193</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n      <td>7.0</td>\n      <td>7.0</td>\n      <td>8.0</td>\n      <td>10.0</td>\n      <td>12.0</td>\n      <td>25.0</td>\n      <td>6.179525</td>\n      <td>-7.631588e-06</td>\n      <td>-0.495188</td>\n      <td>-0.039442</td>\n      <td>-0.007765</td>\n      <td>-0.003983</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>137911</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.428688</td>\n      <td>12.426695</td>\n      <td>1497.274134</td>\n      <td>6.778129</td>\n      <td>502.485900</td>\n      <td>16.683570</td>\n      <td>6.946990</td>\n      <td>2.813150</td>\n      <td>3.950119</td>\n      <td>9.793473</td>\n      <td>2.915698</td>\n      <td>3.063057</td>\n      <td>5.225913</td>\n      <td>4.491206</td>\n      <td>0.520981</td>\n      <td>0.247219</td>\n      <td>0.154180</td>\n      <td>0.753897</td>\n      <td>0.281453</td>\n      <td>4.247625</td>\n      <td>5.477172</td>\n      <td>5.154268</td>\n      <td>4.033028</td>\n      <td>5.534443</td>\n      <td>5.308515</td>\n      <td>691539.0</td>\n      <td>1.517607</td>\n      <td>416.757088</td>\n      <td>-32.027690</td>\n      <td>143.248043</td>\n      <td>-2.538065</td>\n      <td>3.577592e-07</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4.530821</td>\n      <td>4.524946</td>\n      <td>4.466192</td>\n      <td>4.531238</td>\n      <td>6.079078</td>\n      <td>93.0</td>\n      <td>62.1</td>\n      <td>9.18</td>\n      <td>5.446</td>\n      <td>4.8740</td>\n      <td>12.74</td>\n      <td>5.948</td>\n      <td>66.016917</td>\n      <td>45.895149</td>\n      <td>22.803241</td>\n      <td>8.101416</td>\n      <td>56.016747</td>\n      <td>30.278838</td>\n      <td>4.961487</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>5.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n      <td>7.0</td>\n      <td>7.0</td>\n      <td>9.0</td>\n      <td>10.0</td>\n      <td>16.0</td>\n      <td>3.583863</td>\n      <td>-1.867193e-06</td>\n      <td>-0.379595</td>\n      <td>-0.082484</td>\n      <td>0.013332</td>\n      <td>0.000582</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>141702</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.061889</td>\n      <td>11.630546</td>\n      <td>127.914279</td>\n      <td>6.867442</td>\n      <td>60.507444</td>\n      <td>16.523814</td>\n      <td>4.114147</td>\n      <td>2.698147</td>\n      <td>4.001275</td>\n      <td>3.664088</td>\n      <td>2.651688</td>\n      <td>2.771185</td>\n      <td>3.480840</td>\n      <td>2.142932</td>\n      <td>0.386529</td>\n      <td>0.224909</td>\n      <td>0.161388</td>\n      <td>0.529305</td>\n      <td>0.254105</td>\n      <td>2.182659</td>\n      <td>2.431101</td>\n      <td>2.156890</td>\n      <td>1.320629</td>\n      <td>2.477723</td>\n      <td>2.286835</td>\n      <td>679721.0</td>\n      <td>0.051814</td>\n      <td>0.705854</td>\n      <td>15.880020</td>\n      <td>3.613541</td>\n      <td>-8.094229</td>\n      <td>-1.825526e-07</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>4.127661</td>\n      <td>4.121530</td>\n      <td>4.061062</td>\n      <td>4.128137</td>\n      <td>6.618645</td>\n      <td>177.0</td>\n      <td>107.7</td>\n      <td>14.13</td>\n      <td>5.027</td>\n      <td>4.4925</td>\n      <td>20.80</td>\n      <td>5.724</td>\n      <td>113.678885</td>\n      <td>76.743811</td>\n      <td>34.000818</td>\n      <td>13.789245</td>\n      <td>81.820263</td>\n      <td>46.393244</td>\n      <td>5.070900</td>\n      <td>0.0</td>\n      <td>1.0</td>\n      <td>2.0</td>\n      <td>2.0</td>\n      <td>3.0</td>\n      <td>4.0</td>\n      <td>1.0</td>\n      <td>4.0</td>\n      <td>5.0</td>\n      <td>6.0</td>\n      <td>7.0</td>\n      <td>7.0</td>\n      <td>9.0</td>\n      <td>11.0</td>\n      <td>22.0</td>\n      <td>4.993617</td>\n      <td>2.633888e-06</td>\n      <td>-0.471571</td>\n      <td>-0.142129</td>\n      <td>0.021483</td>\n      <td>0.005359</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>135512</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0.073898</td>\n      <td>11.568709</td>\n      <td>329.014203</td>\n      <td>6.786278</td>\n      <td>170.205335</td>\n      <td>15.961499</td>\n      <td>5.797164</td>\n      <td>2.880179</td>\n      <td>5.214578</td>\n      <td>5.321133</td>\n      <td>2.689743</td>\n      <td>6.871187</td>\n      <td>7.486142</td>\n      <td>3.328037</td>\n      <td>0.485132</td>\n      <td>0.274025</td>\n      <td>0.167806</td>\n      <td>0.676384</td>\n      <td>0.303366</td>\n      <td>3.573545</td>\n      <td>4.122570</td>\n      <td>3.802015</td>\n      <td>2.706260</td>\n      <td>4.178636</td>\n      <td>3.946117</td>\n      <td>619251.0</td>\n      <td>-0.643042</td>\n      <td>136.725937</td>\n      <td>56.830895</td>\n      <td>-23.090826</td>\n      <td>-1.608672</td>\n      <td>-1.556475e-06</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"y.head()","execution_count":7,"outputs":[{"output_type":"execute_result","execution_count":7,"data":{"text/plain":"     target\n0  1.430797\n1  1.391499\n2  1.353196\n3  1.313798\n4  1.274400","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>target</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1.430797</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1.391499</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1.353196</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1.313798</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1.274400</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"submission.head()","execution_count":8,"outputs":[{"output_type":"execute_result","execution_count":8,"data":{"text/plain":"       seg_id  time_to_failure\n0  seg_00030f         4.072624\n1  seg_0012b5         4.318170\n2  seg_00184e         5.366592\n3  seg_003339         8.408390\n4  seg_0042cc         7.159201","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>seg_id</th>\n      <th>time_to_failure</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>seg_00030f</td>\n      <td>4.072624</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>seg_0012b5</td>\n      <td>4.318170</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>seg_00184e</td>\n      <td>5.366592</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>seg_003339</td>\n      <td>8.408390</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>seg_0042cc</td>\n      <td>7.159201</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"alldata = pd.concat([X,X_test])","execution_count":9,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"ss = StandardScaler()\nalldata[alldata.columns] = ss.fit_transform(alldata[alldata.columns].astype(float))","execution_count":10,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"alldata.head()","execution_count":11,"outputs":[{"output_type":"execute_result","execution_count":11,"data":{"text/plain":"   Hann_window_mean_150    ...        trend\n0              1.625663    ...    -1.757518\n1              1.118361    ...     0.498811\n2              1.696767    ...     2.147919\n3              1.683679    ...     0.892118\n4              1.705112    ...    -0.352378\n\n[5 rows x 831 columns]","text/html":"<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>Hann_window_mean_150</th>\n      <th>Hann_window_mean_1500</th>\n      <th>Hann_window_mean_15000</th>\n      <th>Hann_window_mean_50</th>\n      <th>Hilbert_mean</th>\n      <th>abs_max</th>\n      <th>abs_max_roll_mean_10</th>\n      <th>abs_max_roll_mean_100</th>\n      <th>abs_max_roll_mean_1000</th>\n      <th>abs_max_roll_mean_10000</th>\n      <th>abs_max_roll_mean_50</th>\n      <th>abs_max_roll_mean_500</th>\n      <th>abs_max_roll_std_10</th>\n      <th>abs_max_roll_std_100</th>\n      <th>abs_max_roll_std_1000</th>\n      <th>abs_max_roll_std_10000</th>\n      <th>abs_max_roll_std_50</th>\n      <th>abs_max_roll_std_500</th>\n      <th>abs_mean</th>\n      <th>abs_percentile_1</th>\n      <th>abs_percentile_10</th>\n      <th>abs_percentile_20</th>\n      <th>abs_percentile_25</th>\n      <th>abs_percentile_30</th>\n      <th>abs_percentile_40</th>\n      <th>abs_percentile_5</th>\n      <th>abs_percentile_50</th>\n      <th>abs_percentile_60</th>\n      <th>abs_percentile_70</th>\n      <th>abs_percentile_75</th>\n      <th>abs_percentile_80</th>\n      <th>abs_percentile_90</th>\n      <th>abs_percentile_95</th>\n      <th>abs_percentile_99</th>\n      <th>abs_std</th>\n      <th>abs_trend</th>\n      <th>autocorrelation_10</th>\n      <th>autocorrelation_100</th>\n      <th>autocorrelation_1000</th>\n      <th>autocorrelation_10000</th>\n      <th>...</th>\n      <th>range_-3000_-2000</th>\n      <th>range_-4000_-3000</th>\n      <th>range_0_1000</th>\n      <th>range_1000_2000</th>\n      <th>range_2000_3000</th>\n      <th>range_3000_4000</th>\n      <th>range_minf_m4000</th>\n      <th>range_p4000_pinf</th>\n      <th>skew</th>\n      <th>spkt_welch_density_1</th>\n      <th>spkt_welch_density_10</th>\n      <th>spkt_welch_density_100</th>\n      <th>spkt_welch_density_5</th>\n      <th>spkt_welch_density_50</th>\n      <th>std</th>\n      <th>std_first_1000</th>\n      <th>std_first_10000</th>\n      <th>std_first_50000</th>\n      <th>std_last_1000</th>\n      <th>std_last_10000</th>\n      <th>std_last_50000</th>\n      <th>std_roll_mean_10</th>\n      <th>std_roll_mean_100</th>\n      <th>std_roll_mean_1000</th>\n      <th>std_roll_mean_10000</th>\n      <th>std_roll_mean_50</th>\n      <th>std_roll_mean_500</th>\n      <th>std_roll_std_10</th>\n      <th>std_roll_std_100</th>\n      <th>std_roll_std_1000</th>\n      <th>std_roll_std_10000</th>\n      <th>std_roll_std_50</th>\n      <th>std_roll_std_500</th>\n      <th>sum</th>\n      <th>time_rev_asym_stat_1</th>\n      <th>time_rev_asym_stat_10</th>\n      <th>time_rev_asym_stat_100</th>\n      <th>time_rev_asym_stat_5</th>\n      <th>time_rev_asym_stat_50</th>\n      <th>trend</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1.625663</td>\n      <td>1.625200</td>\n      <td>1.617486</td>\n      <td>1.625816</td>\n      <td>-0.029427</td>\n      <td>-0.223008</td>\n      <td>-0.196185</td>\n      <td>-0.145002</td>\n      <td>0.032927</td>\n      <td>1.190651</td>\n      <td>-0.160750</td>\n      <td>-0.042027</td>\n      <td>-0.205451</td>\n      <td>-0.184440</td>\n      <td>-0.115091</td>\n      <td>-0.121680</td>\n      <td>-0.176349</td>\n      <td>-0.143152</td>\n      <td>0.078022</td>\n      <td>0.0</td>\n      <td>-0.100362</td>\n      <td>-0.208467</td>\n      <td>0.844195</td>\n      <td>-0.007367</td>\n      <td>0.366465</td>\n      <td>0.518338</td>\n      <td>0.690514</td>\n      <td>1.023179</td>\n      <td>0.978352</td>\n      <td>0.086607</td>\n      <td>0.470583</td>\n      <td>0.209981</td>\n      <td>-0.010740</td>\n      <td>-0.161338</td>\n      <td>-0.172201</td>\n      <td>-0.367530</td>\n      <td>-0.518960</td>\n      <td>0.784644</td>\n      <td>-0.510395</td>\n      <td>0.830647</td>\n      <td>...</td>\n      <td>-0.057147</td>\n      <td>-0.048866</td>\n      <td>0.483395</td>\n      <td>-0.064845</td>\n      <td>-0.05894</td>\n      <td>-0.052707</td>\n      <td>-0.03104</td>\n      <td>-0.033491</td>\n      <td>-0.317423</td>\n      <td>-0.053301</td>\n      <td>-0.070827</td>\n      <td>0.926988</td>\n      <td>-0.076510</td>\n      <td>-0.703462</td>\n      <td>-0.174395</td>\n      <td>0.042112</td>\n      <td>0.598595</td>\n      <td>0.016603</td>\n      <td>-0.347160</td>\n      <td>-0.208408</td>\n      <td>-0.333493</td>\n      <td>-0.172715</td>\n      <td>-0.100269</td>\n      <td>0.257819</td>\n      <td>1.935137</td>\n      <td>-0.132207</td>\n      <td>0.100672</td>\n      <td>-0.199641</td>\n      <td>-0.194747</td>\n      <td>-0.190500</td>\n      <td>-0.225929</td>\n      <td>-0.195183</td>\n      <td>-0.193898</td>\n      <td>1.616545</td>\n      <td>0.012251</td>\n      <td>0.018724</td>\n      <td>0.007777</td>\n      <td>0.018639</td>\n      <td>-0.012427</td>\n      <td>-1.757518</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>1.118361</td>\n      <td>1.117360</td>\n      <td>1.110480</td>\n      <td>1.118392</td>\n      <td>0.111785</td>\n      <td>0.032510</td>\n      <td>0.146108</td>\n      <td>0.104402</td>\n      <td>0.043990</td>\n      <td>0.474772</td>\n      <td>0.121397</td>\n      <td>0.073423</td>\n      <td>0.035977</td>\n      <td>0.077916</td>\n      <td>-0.025891</td>\n      <td>-0.060794</td>\n      <td>0.036960</td>\n      <td>-0.018303</td>\n      <td>0.179404</td>\n      <td>0.0</td>\n      <td>-0.100362</td>\n      <td>-0.208467</td>\n      <td>0.844195</td>\n      <td>-0.007367</td>\n      <td>0.366465</td>\n      <td>0.518338</td>\n      <td>0.690514</td>\n      <td>1.023179</td>\n      <td>0.978352</td>\n      <td>0.086607</td>\n      <td>0.470583</td>\n      <td>0.209981</td>\n      <td>-0.010740</td>\n      <td>-0.038155</td>\n      <td>-0.006199</td>\n      <td>-0.168303</td>\n      <td>-0.306497</td>\n      <td>-0.392986</td>\n      <td>2.555447</td>\n      <td>-0.488613</td>\n      <td>...</td>\n      <td>-0.057147</td>\n      <td>-0.048866</td>\n      <td>0.109440</td>\n      <td>-0.064845</td>\n      <td>-0.05894</td>\n      <td>-0.052707</td>\n      <td>-0.03104</td>\n      <td>-0.033491</td>\n      <td>0.577126</td>\n      <td>-0.052099</td>\n      <td>-0.059095</td>\n      <td>-1.157168</td>\n      <td>-0.061648</td>\n      <td>0.279082</td>\n      <td>-0.001331</td>\n      <td>-0.436046</td>\n      <td>-0.169935</td>\n      <td>0.092494</td>\n      <td>-0.415665</td>\n      <td>-0.336459</td>\n      <td>-0.084276</td>\n      <td>-0.000414</td>\n      <td>-0.049436</td>\n      <td>-0.134397</td>\n      <td>-0.987512</td>\n      <td>-0.038155</td>\n      <td>-0.100586</td>\n      <td>0.022152</td>\n      <td>0.015449</td>\n      <td>0.012940</td>\n      <td>-0.011020</td>\n      <td>0.016284</td>\n      <td>0.013528</td>\n      <td>1.112473</td>\n      <td>0.012118</td>\n      <td>0.019145</td>\n      <td>0.007548</td>\n      <td>0.019592</td>\n      <td>-0.012281</td>\n      <td>0.498811</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>1.696767</td>\n      <td>1.696639</td>\n      <td>1.692689</td>\n      <td>1.696900</td>\n      <td>0.366171</td>\n      <td>-0.103545</td>\n      <td>-0.078661</td>\n      <td>-0.056977</td>\n      <td>0.128420</td>\n      <td>1.284728</td>\n      <td>-0.077787</td>\n      <td>0.024215</td>\n      <td>-0.108511</td>\n      <td>-0.176941</td>\n      <td>-0.064744</td>\n      <td>-0.027489</td>\n      <td>-0.150577</td>\n      <td>-0.072638</td>\n      <td>0.448604</td>\n      <td>0.0</td>\n      <td>-0.100362</td>\n      <td>-0.208467</td>\n      <td>0.844195</td>\n      <td>-0.007367</td>\n      <td>0.366465</td>\n      <td>0.518338</td>\n      <td>0.690514</td>\n      <td>1.023179</td>\n      <td>0.978352</td>\n      <td>1.458434</td>\n      <td>0.470583</td>\n      <td>0.692252</td>\n      <td>0.449267</td>\n      <td>0.146618</td>\n      <td>0.013156</td>\n      <td>0.349755</td>\n      <td>-0.633960</td>\n      <td>0.703065</td>\n      <td>0.001764</td>\n      <td>-1.264548</td>\n      <td>...</td>\n      <td>-0.057147</td>\n      <td>-0.048866</td>\n      <td>-0.075142</td>\n      <td>-0.064845</td>\n      <td>-0.05894</td>\n      <td>-0.052707</td>\n      <td>-0.03104</td>\n      <td>-0.033491</td>\n      <td>0.203511</td>\n      <td>-0.051953</td>\n      <td>-0.061499</td>\n      <td>0.157905</td>\n      <td>-0.062810</td>\n      <td>0.032304</td>\n      <td>0.042708</td>\n      <td>-0.441610</td>\n      <td>0.306035</td>\n      <td>-0.019055</td>\n      <td>-0.331457</td>\n      <td>0.739273</td>\n      <td>0.339713</td>\n      <td>0.038837</td>\n      <td>-0.010169</td>\n      <td>0.082268</td>\n      <td>0.869593</td>\n      <td>-0.010377</td>\n      <td>0.033375</td>\n      <td>0.040274</td>\n      <td>0.023211</td>\n      <td>0.002224</td>\n      <td>-0.060795</td>\n      <td>0.026083</td>\n      <td>0.013089</td>\n      <td>1.687469</td>\n      <td>0.011610</td>\n      <td>0.018362</td>\n      <td>0.008275</td>\n      <td>0.017893</td>\n      <td>-0.012103</td>\n      <td>2.147919</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>1.683679</td>\n      <td>1.682898</td>\n      <td>1.677950</td>\n      <td>1.683904</td>\n      <td>0.202289</td>\n      <td>0.092242</td>\n      <td>0.108125</td>\n      <td>0.164214</td>\n      <td>0.099597</td>\n      <td>1.123252</td>\n      <td>0.111529</td>\n      <td>0.127047</td>\n      <td>0.135825</td>\n      <td>0.195882</td>\n      <td>0.140030</td>\n      <td>0.067895</td>\n      <td>0.156261</td>\n      <td>0.168635</td>\n      <td>0.307927</td>\n      <td>0.0</td>\n      <td>-0.100362</td>\n      <td>-0.208467</td>\n      <td>0.844195</td>\n      <td>-0.007367</td>\n      <td>0.366465</td>\n      <td>0.518338</td>\n      <td>0.690514</td>\n      <td>1.023179</td>\n      <td>0.978352</td>\n      <td>1.458434</td>\n      <td>0.470583</td>\n      <td>0.209981</td>\n      <td>0.219264</td>\n      <td>0.023436</td>\n      <td>0.032760</td>\n      <td>-0.062271</td>\n      <td>0.529830</td>\n      <td>-1.913636</td>\n      <td>0.240378</td>\n      <td>-0.427521</td>\n      <td>...</td>\n      <td>-0.057147</td>\n      <td>-0.048866</td>\n      <td>0.266938</td>\n      <td>-0.064845</td>\n      <td>-0.05894</td>\n      <td>-0.052707</td>\n      <td>-0.03104</td>\n      <td>-0.033491</td>\n      <td>1.368320</td>\n      <td>-0.052270</td>\n      <td>-0.071263</td>\n      <td>0.792935</td>\n      <td>-0.052636</td>\n      <td>-0.348044</td>\n      <td>0.037462</td>\n      <td>-0.263183</td>\n      <td>0.137187</td>\n      <td>-0.006670</td>\n      <td>-0.351790</td>\n      <td>-0.207850</td>\n      <td>-0.062553</td>\n      <td>0.057219</td>\n      <td>0.049687</td>\n      <td>0.080360</td>\n      <td>0.331807</td>\n      <td>0.077774</td>\n      <td>0.034172</td>\n      <td>0.049779</td>\n      <td>0.057172</td>\n      <td>0.057878</td>\n      <td>0.054225</td>\n      <td>0.055754</td>\n      <td>0.057803</td>\n      <td>1.674248</td>\n      <td>0.012764</td>\n      <td>0.018829</td>\n      <td>0.009418</td>\n      <td>0.018940</td>\n      <td>-0.013244</td>\n      <td>0.892118</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>1.705112</td>\n      <td>1.706056</td>\n      <td>1.705998</td>\n      <td>1.704875</td>\n      <td>0.317605</td>\n      <td>-0.086953</td>\n      <td>-0.021464</td>\n      <td>0.019386</td>\n      <td>0.163648</td>\n      <td>1.236051</td>\n      <td>-0.029910</td>\n      <td>0.087302</td>\n      <td>-0.090132</td>\n      <td>-0.021560</td>\n      <td>0.054820</td>\n      <td>0.038750</td>\n      <td>-0.032710</td>\n      <td>-0.009803</td>\n      <td>0.421548</td>\n      <td>0.0</td>\n      <td>-0.100362</td>\n      <td>-0.208467</td>\n      <td>0.844195</td>\n      <td>-0.007367</td>\n      <td>0.366465</td>\n      <td>0.518338</td>\n      <td>0.690514</td>\n      <td>1.023179</td>\n      <td>0.978352</td>\n      <td>1.458434</td>\n      <td>0.470583</td>\n      <td>0.209981</td>\n      <td>0.219264</td>\n      <td>0.208209</td>\n      <td>0.064582</td>\n      <td>0.172732</td>\n      <td>0.402201</td>\n      <td>0.893147</td>\n      <td>0.674887</td>\n      <td>-0.607920</td>\n      <td>...</td>\n      <td>-0.057147</td>\n      <td>-0.048866</td>\n      <td>0.222564</td>\n      <td>-0.064845</td>\n      <td>-0.05894</td>\n      <td>-0.052707</td>\n      <td>-0.03104</td>\n      <td>-0.033491</td>\n      <td>-0.126284</td>\n      <td>-0.051020</td>\n      <td>-0.057299</td>\n      <td>-1.077087</td>\n      <td>-0.036533</td>\n      <td>-0.019270</td>\n      <td>0.081528</td>\n      <td>-0.245589</td>\n      <td>-0.043677</td>\n      <td>-0.091632</td>\n      <td>0.946668</td>\n      <td>1.092105</td>\n      <td>0.215787</td>\n      <td>0.154224</td>\n      <td>0.031625</td>\n      <td>-0.156304</td>\n      <td>-0.629772</td>\n      <td>0.044611</td>\n      <td>-0.089128</td>\n      <td>0.032714</td>\n      <td>0.093716</td>\n      <td>0.098001</td>\n      <td>0.059769</td>\n      <td>0.094444</td>\n      <td>0.096308</td>\n      <td>1.694876</td>\n      <td>0.012629</td>\n      <td>0.018833</td>\n      <td>0.008402</td>\n      <td>0.018900</td>\n      <td>-0.011938</td>\n      <td>-0.352378</td>\n    </tr>\n  </tbody>\n</table>\n</div>"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"a = np.concatenate([y.target.values,submission.time_to_failure.values])","execution_count":12,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"alldata['target']  = a","execution_count":13,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"a = pd.qcut(alldata.target,3,labels=[0,1,2])","execution_count":14,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"alldata.target = a","execution_count":15,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"alldata['target_0'] = (alldata.target==0).astype(int)\nalldata['target_1'] = (alldata.target==1).astype(int)\nalldata['target_2'] = (alldata.target==2).astype(int)","execution_count":16,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"alldata.target.unique()","execution_count":17,"outputs":[{"output_type":"execute_result","execution_count":17,"data":{"text/plain":"[0, 2, 1]\nCategories (3, int64): [0 < 1 < 2]"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"del alldata['target']","execution_count":18,"outputs":[]},{"metadata":{"_kg_hide-input":true,"trusted":true},"cell_type":"code","source":"class GP:\n    def __init__(self):\n        self.classes = 3\n        self.class_names = [ 'class_0',\n                             'class_1',\n                             'class_2']\n\n\n    def GrabPredictions(self, data,n):\n        oof_preds = np.zeros((len(data), len(self.class_names)))\n        oof_preds[:,0] = self.GP_class_0(data,n)\n        oof_preds[:,1] = self.GP_class_1(data,n)\n        oof_preds[:,2] = self.GP_class_2(data,n)\n        oof_df = pd.DataFrame(np.exp(oof_preds), columns=self.class_names)\n        oof_df =oof_df.div(oof_df.sum(axis=1), axis=0)\n        return oof_df\n\n\n    def GP_class_0(self,data,n):\n        v = pd.DataFrame()\n        v[\"i0\"] = -0.689578 \n        v[\"i1\"] = 0.010000*np.tanh(((((((data[\"num_peaks_10\"]) * 2.0)) + (((((((((data[\"range_-1000_0\"]) + (((data[\"ffti_range_-4000_-3000\"]) + (data[\"percentile_roll_std_5\"]))))) + (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i2\"] = 0.010000*np.tanh(((((((((data[\"min_roll_std_10000\"]) + (((data[\"percentile_roll_std_20\"]) + (((((data[\"ffti_range_2000_3000\"]) + (((data[\"num_peaks_10\"]) * 2.0)))) + (data[\"num_peaks_10\"]))))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i3\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_25\"]) + (((((((data[\"range_-1000_0\"]) * 2.0)) + (((data[\"iqr\"]) * 2.0)))) + (data[\"percentile_roll_std_1\"]))))) + (data[\"fftr_range_-3000_-2000\"]))) * 2.0)) \n        v[\"i4\"] = 0.010000*np.tanh(((((((((data[\"num_peaks_10\"]) + (data[\"fftr_range_-4000_-3000\"]))) + (((data[\"iqr\"]) + (((((data[\"percentile_roll_std_1\"]) - (data[\"ffti_range_-1000_0\"]))) + (data[\"percentile_roll_std_10\"]))))))) * 2.0)) * 2.0)) \n        v[\"i5\"] = 0.010000*np.tanh(((data[\"percentile_roll_std_10\"]) + (((((((((((data[\"ffti_range_2000_3000\"]) + (((data[\"num_peaks_10\"]) * 2.0)))) + (data[\"percentile_roll_std_10\"]))) * 2.0)) * 2.0)) + (data[\"iqr\"]))))) \n        v[\"i6\"] = 0.010000*np.tanh(((((data[\"num_peaks_10\"]) + (((((((((data[\"num_peaks_10\"]) * 2.0)) + (data[\"percentile_roll_std_25\"]))) + (((((data[\"abs_percentile_80\"]) + (data[\"num_peaks_10\"]))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i7\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_std_10\"]) + (data[\"iqr\"]))) * 2.0)) + (((data[\"num_peaks_10\"]) + (((((data[\"num_peaks_10\"]) + (data[\"num_peaks_10\"]))) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i8\"] = 0.010000*np.tanh(((((((((data[\"percentile_roll_std_1\"]) + (((((data[\"fftr_range_-3000_-2000\"]) + (data[\"percentile_roll_std_20\"]))) * 2.0)))) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i9\"] = 0.010000*np.tanh(((((((((((data[\"fftr_range_-3000_-2000\"]) + (((((((data[\"min_roll_std_10000\"]) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) + (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)) \n        v[\"i10\"] = 0.010000*np.tanh(((((((((((data[\"iqr\"]) + (((data[\"abs_percentile_80\"]) + (((data[\"num_peaks_10\"]) + (data[\"percentile_roll_std_30\"]))))))) + (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i11\"] = 0.010000*np.tanh(((((((((data[\"percentile_roll_std_10\"]) + (((((data[\"fftr_range_-3000_-2000\"]) + (data[\"percentile_roll_std_10\"]))) * 2.0)))) * 2.0)) * 2.0)) + (((data[\"ffti_range_2000_3000\"]) + (data[\"ffti_percentile_80\"]))))) \n        v[\"i12\"] = 0.010000*np.tanh(((((((((data[\"abs_percentile_80\"]) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) + (((data[\"percentile_roll_std_40\"]) + (((data[\"num_peaks_10\"]) + (data[\"fftr_range_3000_4000\"]))))))) * 2.0)) \n        v[\"i13\"] = 0.010000*np.tanh(((((((((((((((data[\"percentile_roll_std_1\"]) + (data[\"fftr_range_-4000_-3000\"]))) + (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)) + (data[\"percentile_roll_std_20\"]))) + (data[\"num_peaks_10\"]))) * 2.0)) \n        v[\"i14\"] = 0.010000*np.tanh(((((((data[\"iqr\"]) + (((((data[\"percentile_roll_std_10\"]) * 2.0)) + (data[\"num_peaks_10\"]))))) + (((data[\"abs_percentile_80\"]) + (((data[\"num_peaks_10\"]) * 2.0)))))) * 2.0)) \n        v[\"i15\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_std_30\"]) + (data[\"iqr\"]))) * 2.0)) + (((data[\"percentile_95\"]) * 2.0)))) + (data[\"ffti_range_-3000_-2000\"]))) * 2.0)) \n        v[\"i16\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_30\"]) + (data[\"percentile_roll_std_1\"]))) * 2.0)) + (((((data[\"iqr\"]) + (data[\"ffti_range_-4000_-3000\"]))) * 2.0)))) \n        v[\"i17\"] = 0.010000*np.tanh(((((((data[\"percentile_95\"]) + (((((((data[\"num_peaks_10\"]) * 2.0)) + (data[\"abs_percentile_80\"]))) * 2.0)))) + (data[\"ffti_range_-4000_-3000\"]))) * 2.0)) \n        v[\"i18\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_20\"]) * 2.0)) * 2.0)) + (((((((((data[\"ffti_count_big\"]) + (data[\"ffti_range_3000_4000\"]))) + (data[\"num_peaks_10\"]))) + (data[\"num_peaks_10\"]))) * 2.0)))) \n        v[\"i19\"] = 0.010000*np.tanh(((((data[\"percentile_roll_std_10\"]) + (((data[\"num_peaks_10\"]) + (((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i20\"] = 0.010000*np.tanh(((((((((((((data[\"num_peaks_10\"]) * 2.0)) + (data[\"abs_percentile_80\"]))) * 2.0)) * 2.0)) + (((((data[\"num_peaks_10\"]) * 2.0)) + (((data[\"num_peaks_10\"]) * 2.0)))))) * 2.0)) \n        v[\"i21\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_range_3000_4000\"]) + (((((data[\"iqr\"]) + (data[\"percentile_roll_std_5\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (data[\"percentile_roll_std_40\"]))) \n        v[\"i22\"] = 0.010000*np.tanh(((((((((((data[\"iqr\"]) + (data[\"percentile_roll_std_10\"]))) * 2.0)) * 2.0)) * 2.0)) + (((((((data[\"ffti_range_-3000_-2000\"]) + (data[\"percentile_roll_std_10\"]))) * 2.0)) * 2.0)))) \n        v[\"i23\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_-3000_-2000\"]) + (((((((((data[\"iqr\"]) + (data[\"num_peaks_10\"]))) + (data[\"percentile_roll_std_10\"]))) + (data[\"num_peaks_10\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i24\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_100\"]) + (data[\"percentile_roll_std_1\"]))) + (((((((((data[\"abs_percentile_80\"]) + (data[\"num_peaks_10\"]))) + (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i25\"] = 0.010000*np.tanh(((((((((data[\"abs_percentile_80\"]) + (((((data[\"min_roll_std_10000\"]) * 2.0)) + (data[\"num_peaks_10\"]))))) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i26\"] = 0.010000*np.tanh(((data[\"num_peaks_10\"]) + (((((((((((data[\"iqr\"]) * 2.0)) + (data[\"num_peaks_10\"]))) + (((data[\"num_peaks_10\"]) + (data[\"percentile_roll_std_10\"]))))) * 2.0)) * 2.0)))) \n        v[\"i27\"] = 0.010000*np.tanh(((((((data[\"fftr_range_-3000_-2000\"]) + (((((data[\"iqr1\"]) + (data[\"iqr\"]))) + (((((data[\"iqr1\"]) * 2.0)) + (data[\"num_peaks_10\"]))))))) * 2.0)) * 2.0)) \n        v[\"i28\"] = 0.010000*np.tanh(((((((((((data[\"num_peaks_10\"]) + (data[\"min_roll_std_10000\"]))) * 2.0)) * 2.0)) + (((data[\"abs_percentile_80\"]) * 2.0)))) * 2.0)) \n        v[\"i29\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_100\"]) + (data[\"min_roll_std_500\"]))) + (((((((data[\"ffti_range_3000_4000\"]) + (data[\"min_roll_std_10000\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i30\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_range_-4000_-3000\"]) + (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)) * 2.0)) + (((data[\"ffti_abs_percentile_30\"]) * 2.0)))) + (data[\"percentile_roll_std_10\"]))) \n        v[\"i31\"] = 0.010000*np.tanh(((((((data[\"fftr_range_-3000_-2000\"]) + (((data[\"percentile_75\"]) - (((data[\"fftr_range_-3000_-2000\"]) - (((((data[\"fftr_range_-3000_-2000\"]) + (data[\"percentile_roll_std_10\"]))) * 2.0)))))))) + (data[\"min_roll_std_1000\"]))) * 2.0)) \n        v[\"i32\"] = 0.010000*np.tanh(((((data[\"fftr_range_-3000_-2000\"]) + (((data[\"percentile_roll_std_1\"]) + (((((data[\"percentile_roll_std_99\"]) + (((data[\"percentile_roll_std_1\"]) + (data[\"iqr\"]))))) + (data[\"ffti_range_-4000_-3000\"]))))))) * 2.0)) \n        v[\"i33\"] = 0.010000*np.tanh(((((((data[\"abs_percentile_80\"]) + ((((((((data[\"num_peaks_100\"]) + (((data[\"percentile_roll_std_1\"]) + (data[\"iqr\"]))))/2.0)) + (data[\"num_peaks_10\"]))) * 2.0)))) + (data[\"min_roll_std_500\"]))) * 2.0)) \n        v[\"i34\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_-3000_-2000\"]) + (((((((((data[\"fftr_range_-3000_-2000\"]) + (data[\"percentile_roll_std_10\"]))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i35\"] = 0.010000*np.tanh(((((((data[\"abs_percentile_80\"]) * 2.0)) + (((((((((((data[\"num_peaks_10\"]) * 2.0)) + (((data[\"range_-1000_0\"]) + (data[\"iqr\"]))))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i36\"] = 0.010000*np.tanh(((((((((data[\"num_peaks_10\"]) * 2.0)) + (data[\"ffti_range_2000_3000\"]))) + (((((((data[\"abs_percentile_80\"]) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i37\"] = 0.010000*np.tanh(((((((((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)) + (((data[\"abs_percentile_80\"]) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i38\"] = 0.010000*np.tanh(((((((((((data[\"abs_percentile_80\"]) * 2.0)) + (data[\"percentile_roll_std_1\"]))) + (data[\"min_roll_std_10000\"]))) + (((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i39\"] = 0.010000*np.tanh(((((((((data[\"ffti_range_2000_3000\"]) + (data[\"percentile_roll_std_25\"]))) * 2.0)) + (((data[\"ffti_range_2000_3000\"]) + (data[\"ffti_percentile_70\"]))))) + (data[\"min_roll_std_500\"]))) \n        v[\"i40\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_100\"]) + (data[\"num_peaks_10\"]))) * 2.0)) + (((((data[\"min_roll_std_10000\"]) * 2.0)) + (((data[\"num_peaks_10\"]) * 2.0)))))) \n        v[\"i41\"] = 0.010000*np.tanh(((((data[\"iqr\"]) + (((((((((data[\"percentile_95\"]) * 2.0)) * 2.0)) + (((data[\"iqr\"]) * 2.0)))) * 2.0)))) + (((data[\"iqr\"]) + (data[\"min_roll_std_10000\"]))))) \n        v[\"i42\"] = 0.010000*np.tanh(((((data[\"num_peaks_10\"]) + (((data[\"percentile_95\"]) + (((data[\"abs_percentile_80\"]) + (((data[\"min_roll_std_100\"]) + (((data[\"num_peaks_10\"]) * 2.0)))))))))) * 2.0)) \n        v[\"i43\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_-3000_-2000\"]) + (((((((data[\"num_peaks_10\"]) * 2.0)) + (data[\"abs_mean\"]))) + (data[\"min_roll_std_500\"]))))) * 2.0)) * 2.0)) + (((data[\"iqr\"]) * 2.0)))) \n        v[\"i44\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_-3000_-2000\"]) + (((data[\"percentile_90\"]) + (((data[\"fftr_range_-3000_-2000\"]) + (data[\"min_roll_std_500\"]))))))) + (data[\"percentile_roll_std_25\"]))) * 2.0)) * 2.0)) \n        v[\"i45\"] = 0.010000*np.tanh(((((data[\"min_roll_std_500\"]) * 2.0)) + (((((((data[\"ffti_spkt_welch_density_1\"]) + (data[\"min_roll_std_10000\"]))) + (((((data[\"iqr\"]) + (data[\"abs_percentile_80\"]))) * 2.0)))) * 2.0)))) \n        v[\"i46\"] = 0.010000*np.tanh(((((((((data[\"abs_percentile_80\"]) + (data[\"abs_percentile_80\"]))) + (data[\"percentile_roll_std_10\"]))) + (((data[\"num_peaks_10\"]) + (((data[\"num_peaks_10\"]) + (data[\"num_peaks_10\"]))))))) * 2.0)) \n        v[\"i47\"] = 0.010000*np.tanh(((((((data[\"abs_percentile_50\"]) + (((((((((data[\"num_peaks_10\"]) * 2.0)) + (data[\"fftr_range_-3000_-2000\"]))) + (data[\"num_peaks_10\"]))) + (data[\"percentile_roll_std_1\"]))))) * 2.0)) * 2.0)) \n        v[\"i48\"] = 0.010000*np.tanh(((((((((((data[\"abs_percentile_80\"]) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) + (((data[\"min_roll_std_100\"]) + (data[\"abs_percentile_80\"]))))) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) \n        v[\"i49\"] = 0.010000*np.tanh(((((data[\"num_peaks_10\"]) * 2.0)) + (((((((data[\"fftr_range_-3000_-2000\"]) + (data[\"num_peaks_10\"]))) + (((data[\"min_roll_std_500\"]) + (data[\"fftr_range_-3000_-2000\"]))))) * 2.0)))) \n        v[\"i50\"] = 0.010000*np.tanh(((((((((data[\"iqr\"]) + (data[\"num_peaks_10\"]))) * 2.0)) + (data[\"min_roll_std_500\"]))) + (data[\"num_peaks_100\"]))) \n        v[\"i51\"] = 0.010000*np.tanh(((((data[\"ffti_range_-4000_-3000\"]) + (((data[\"percentile_roll_std_5\"]) + (((((data[\"iqr\"]) * 2.0)) + (((((((data[\"percentile_95\"]) * 2.0)) * 2.0)) + (data[\"min_roll_std_500\"]))))))))) * 2.0)) \n        v[\"i52\"] = 0.010000*np.tanh(((((((((data[\"min_roll_std_100\"]) + (data[\"num_peaks_10\"]))) + (data[\"num_peaks_10\"]))) + (data[\"min_roll_std_10000\"]))) * 2.0)) \n        v[\"i53\"] = 0.010000*np.tanh(((((((((((data[\"num_peaks_10\"]) * 2.0)) + (data[\"percentile_30\"]))) * 2.0)) + (((((data[\"num_peaks_10\"]) * 2.0)) + (data[\"ffti_spkt_welch_density_5\"]))))) * 2.0)) \n        v[\"i54\"] = 0.010000*np.tanh(((((((data[\"abs_percentile_50\"]) + (data[\"num_peaks_10\"]))) * 2.0)) + (((((data[\"min_roll_std_500\"]) + (((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)))) * 2.0)))) \n        v[\"i55\"] = 0.010000*np.tanh(((((data[\"percentile_roll_std_1\"]) + (((((data[\"min_roll_std_100\"]) + (data[\"num_peaks_10\"]))) * 2.0)))) * 2.0)) \n        v[\"i56\"] = 0.010000*np.tanh(((((((data[\"num_peaks_10\"]) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) + (((((((data[\"min_roll_std_100\"]) + (((data[\"ffti_percentile_75\"]) * 2.0)))) + (data[\"min_roll_std_100\"]))) * 2.0)))) \n        v[\"i57\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_500\"]) * 2.0)) + (((((data[\"num_peaks_10\"]) + (((((data[\"min_roll_std_10000\"]) + (data[\"percentile_95\"]))) + (data[\"min_roll_std_100\"]))))) * 2.0)))) + (data[\"num_peaks_10\"]))) \n        v[\"i58\"] = 0.010000*np.tanh(((((((((((((data[\"abs_percentile_80\"]) + (data[\"num_peaks_10\"]))) * 2.0)) + (data[\"percentile_70\"]))) * 2.0)) + (((data[\"num_peaks_10\"]) + (data[\"num_peaks_10\"]))))) + (data[\"abs_percentile_80\"]))) \n        v[\"i59\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_-3000_-2000\"]) + (((data[\"abs_percentile_80\"]) * 2.0)))) * 2.0)) + (data[\"range_-1000_0\"]))) + (((((data[\"ffti_abs_max_roll_mean_100\"]) * 2.0)) + (((data[\"min_roll_std_500\"]) * 2.0)))))) \n        v[\"i60\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_1\"]) + (((((data[\"min_roll_std_100\"]) + (data[\"min_roll_std_100\"]))) * 2.0)))) + (data[\"percentile_roll_std_1\"]))) + (((((data[\"num_peaks_10\"]) + (data[\"percentile_95\"]))) * 2.0)))) \n        v[\"i61\"] = 0.010000*np.tanh(((((data[\"num_peaks_10\"]) * 2.0)) + (((((((data[\"abs_percentile_70\"]) + (data[\"fftr_range_-3000_-2000\"]))) * 2.0)) + (((data[\"min_roll_std_500\"]) + (data[\"fftr_range_-3000_-2000\"]))))))) \n        v[\"i62\"] = 0.010000*np.tanh(((((data[\"abs_percentile_80\"]) * 2.0)) + (((((((((((data[\"fftr_range_-3000_-2000\"]) + (data[\"percentile_90\"]))) * 2.0)) * 2.0)) * 2.0)) + (((data[\"abs_percentile_80\"]) + (data[\"percentile_roll_std_1\"]))))))) \n        v[\"i63\"] = 0.010000*np.tanh(((data[\"min_roll_std_10000\"]) + (((((data[\"fftr_av_change_rate_roll_mean_100\"]) + (((((data[\"fftr_range_-3000_-2000\"]) * 2.0)) + (((((data[\"fftr_range_-3000_-2000\"]) + (data[\"min_roll_std_500\"]))) * 2.0)))))) + (data[\"min_roll_std_100\"]))))) \n        v[\"i64\"] = 0.010000*np.tanh(((((data[\"min_roll_std_1000\"]) + (data[\"percentile_roll_std_1\"]))) + (((((((data[\"min_roll_std_100\"]) + ((((data[\"ffti_max_roll_mean_100\"]) + (data[\"min_roll_std_1000\"]))/2.0)))) * 2.0)) * 2.0)))) \n        v[\"i65\"] = 0.010000*np.tanh(((((((data[\"abs_percentile_80\"]) * 2.0)) + (((data[\"min_roll_std_500\"]) + (data[\"ffti_abs_max_roll_mean_100\"]))))) * 2.0)) \n        v[\"i66\"] = 0.010000*np.tanh(((((((((((((((data[\"percentile_roll_std_10\"]) + (data[\"abs_percentile_50\"]))) * 2.0)) * 2.0)) + (data[\"abs_percentile_50\"]))) * 2.0)) * 2.0)) + (data[\"fftr_range_-3000_-2000\"]))) \n        v[\"i67\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_-3000_-2000\"]) + (((((data[\"iqr\"]) * 2.0)) * 2.0)))) + (((data[\"num_peaks_10\"]) * 2.0)))) + (((data[\"num_peaks_10\"]) + (data[\"num_peaks_10\"]))))) * 2.0)) \n        v[\"i68\"] = 0.010000*np.tanh(((((((((data[\"percentile_95\"]) + (data[\"fftr_range_2000_3000\"]))) + (data[\"ffti_spkt_welch_density_5\"]))) * 2.0)) * 2.0)) \n        v[\"i69\"] = 0.010000*np.tanh(((((((data[\"fftr_range_2000_3000\"]) + (((data[\"min_roll_std_10000\"]) + (((((data[\"ffti_spkt_welch_density_1\"]) + (data[\"iqr\"]))) * 2.0)))))) * 2.0)) + (((data[\"min_roll_std_100\"]) * 2.0)))) \n        v[\"i70\"] = 0.010000*np.tanh(((((data[\"ffti_abs_percentile_20\"]) + (((data[\"fftr_range_-3000_-2000\"]) + (((((((data[\"fftr_range_-3000_-2000\"]) + (data[\"percentile_roll_std_1\"]))) * 2.0)) + (((data[\"fftr_range_-3000_-2000\"]) * 2.0)))))))) * 2.0)) \n        v[\"i71\"] = 0.010000*np.tanh(((((data[\"ffti_spkt_welch_density_1\"]) * 2.0)) + (((((((((((data[\"abs_percentile_25\"]) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i72\"] = 0.010000*np.tanh(((((((data[\"percentile_70\"]) + (((data[\"num_peaks_20\"]) + (data[\"num_peaks_10\"]))))) + (((((data[\"min_roll_std_100\"]) + (data[\"min_roll_std_10000\"]))) + (data[\"min_roll_std_100\"]))))) * 2.0)) \n        v[\"i73\"] = 0.010000*np.tanh(((((((data[\"iqr\"]) + (data[\"min_roll_std_10000\"]))) + (data[\"fftr_range_-3000_-2000\"]))) + (((((((data[\"min_roll_std_10000\"]) + (data[\"fftr_range_-3000_-2000\"]))) + (data[\"fftr_range_-3000_-2000\"]))) * 2.0)))) \n        v[\"i74\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_500\"]) + (((data[\"abs_percentile_60\"]) - (data[\"fftr_min_roll_mean_100\"]))))) + (data[\"num_peaks_10\"]))) + (((data[\"num_peaks_100\"]) + (data[\"min_roll_std_500\"]))))) \n        v[\"i75\"] = 0.010000*np.tanh(((((((((((data[\"fftr_range_-3000_-2000\"]) * 2.0)) + (data[\"min_roll_std_500\"]))) + (data[\"iqr\"]))) + (data[\"percentile_roll_std_1\"]))) * 2.0)) \n        v[\"i76\"] = 0.010000*np.tanh(((((((((data[\"min_roll_std_500\"]) + (((((((data[\"ffti_range_-3000_-2000\"]) + (data[\"percentile_95\"]))) * 2.0)) + (data[\"fftr_range_-3000_-2000\"]))))) * 2.0)) + (data[\"min_roll_std_50\"]))) + (data[\"min_roll_std_10000\"]))) \n        v[\"i77\"] = 0.010000*np.tanh(((((data[\"percentile_90\"]) * 2.0)) + (((((((data[\"min_roll_std_100\"]) + (((((((data[\"fftr_range_-3000_-2000\"]) * 2.0)) + (data[\"ffti_max_roll_mean_10\"]))) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i78\"] = 0.010000*np.tanh(((((((((data[\"min_roll_std_1000\"]) + (data[\"num_peaks_10\"]))) * 2.0)) + (((((data[\"min_roll_std_50\"]) + (data[\"min_roll_std_10000\"]))) * 2.0)))) + (data[\"min_roll_std_100\"]))) \n        v[\"i79\"] = 0.010000*np.tanh(((((((((((data[\"ffti_max_roll_mean_100\"]) + (data[\"min_roll_std_100\"]))) * 2.0)) + (data[\"min_roll_std_500\"]))) * 2.0)) * 2.0)) \n        v[\"i80\"] = 0.010000*np.tanh(((((((((data[\"percentile_90\"]) + (((((data[\"percentile_90\"]) * 2.0)) * 2.0)))) + (data[\"classic_sta_lta7_mean\"]))) * 2.0)) + (((data[\"num_peaks_10\"]) * 2.0)))) \n        v[\"i81\"] = 0.010000*np.tanh(((((data[\"num_peaks_10\"]) + (data[\"min_roll_std_100\"]))) + (((data[\"iqr\"]) + (((((((data[\"min_roll_std_50\"]) + (((data[\"min_roll_std_100\"]) * 2.0)))) * 2.0)) * 2.0)))))) \n        v[\"i82\"] = 0.010000*np.tanh(((((((((((data[\"percentile_90\"]) + (data[\"fftr_range_2000_3000\"]))) * 2.0)) * 2.0)) + (data[\"ffti_kstat_3\"]))) + (((data[\"fftr_range_2000_3000\"]) + (((data[\"percentile_80\"]) + (data[\"fftr_abs_percentile_70\"]))))))) \n        v[\"i83\"] = 0.010000*np.tanh(((data[\"min_roll_std_50\"]) + (((((((((data[\"abs_percentile_50\"]) + (data[\"min_roll_std_100\"]))) + (data[\"ffti_abs_max_roll_mean_100\"]))) * 2.0)) * 2.0)))) \n        v[\"i84\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_2000_3000\"]) + ((((((data[\"fftr_range_2000_3000\"]) + (data[\"percentile_95\"]))/2.0)) * 2.0)))) + (((data[\"percentile_95\"]) + (data[\"percentile_roll_mean_1\"]))))) * 2.0)) - (data[\"ffti_min_roll_mean_100\"]))) \n        v[\"i85\"] = 0.010000*np.tanh(((((data[\"percentile_90\"]) + (((data[\"percentile_70\"]) + (((((data[\"abs_max_roll_mean_1000\"]) + (((((data[\"num_peaks_50\"]) + (data[\"min_roll_std_100\"]))) * 2.0)))) + (data[\"fftr_range_-3000_-2000\"]))))))) * 2.0)) \n        v[\"i86\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_500\"]) - (((data[\"exp_Moving_average_30000_std\"]) - (data[\"percentile_90\"]))))) * 2.0)) * 2.0)) \n        v[\"i87\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_1\"]) * 2.0)) + (((data[\"fftr_range_-3000_-2000\"]) * 2.0)))) + (((((data[\"percentile_roll_std_1\"]) + (((data[\"iqr\"]) * 2.0)))) * 2.0)))) \n        v[\"i88\"] = 0.010000*np.tanh(((((((data[\"ffti_range_2000_3000\"]) + (data[\"abs_percentile_70\"]))) * 2.0)) + (((((data[\"fftr_range_2000_3000\"]) + (data[\"percentile_70\"]))) * 2.0)))) \n        v[\"i89\"] = 0.010000*np.tanh(((((((((data[\"min_roll_std_100\"]) * 2.0)) + (data[\"min_roll_std_100\"]))) + (data[\"percentile_roll_std_10\"]))) + (((((data[\"fftr_range_-3000_-2000\"]) + (data[\"percentile_90\"]))) * 2.0)))) \n        v[\"i90\"] = 0.010000*np.tanh(((((((((data[\"min_roll_std_100\"]) * 2.0)) * 2.0)) + (((((data[\"min_roll_std_10000\"]) * 2.0)) - (data[\"autocorrelation_1000\"]))))) + (((((data[\"min_roll_std_10000\"]) * 2.0)) - (data[\"autocorrelation_1000\"]))))) \n        v[\"i91\"] = 0.010000*np.tanh(((((((((((data[\"min_roll_std_100\"]) * 2.0)) * 2.0)) + (data[\"fftr_range_-3000_-2000\"]))) + (((data[\"ffti_abs_percentile_5\"]) * 2.0)))) + (((data[\"fftr_range_-3000_-2000\"]) * 2.0)))) \n        v[\"i92\"] = 0.010000*np.tanh(((((((((data[\"percentile_90\"]) + (((((data[\"percentile_90\"]) * 2.0)) + (((data[\"fftr_range_-3000_-2000\"]) - (data[\"exp_Moving_average_30000_std\"]))))))) * 2.0)) + (data[\"percentile_90\"]))) * 2.0)) \n        v[\"i93\"] = 0.010000*np.tanh(((((data[\"percentile_roll_mean_10\"]) + (((((((data[\"iqr\"]) * 2.0)) * 2.0)) + (((((data[\"ffti_range_2000_3000\"]) + (((data[\"fftr_range_2000_3000\"]) * 2.0)))) + (data[\"percentile_80\"]))))))) * 2.0)) \n        v[\"i94\"] = 0.010000*np.tanh(((((((((((data[\"num_peaks_10\"]) * 2.0)) + (data[\"mean_last_10000\"]))) + (((((data[\"mean_last_10000\"]) + (data[\"num_peaks_10\"]))) + (data[\"num_peaks_10\"]))))) + (data[\"fftr_spkt_welch_density_1\"]))) * 2.0)) \n        v[\"i95\"] = 0.010000*np.tanh(((((((((data[\"min_roll_std_500\"]) * 2.0)) + (((((((((data[\"percentile_90\"]) + (data[\"num_peaks_100\"]))) * 2.0)) * 2.0)) - (data[\"num_peaks_100\"]))))) + (data[\"percentile_90\"]))) * 2.0)) \n        v[\"i96\"] = 0.010000*np.tanh(((((((((data[\"min_roll_std_100\"]) * 2.0)) + (((data[\"percentile_roll_std_20\"]) + (((((data[\"fftr_spkt_welch_density_1\"]) * 2.0)) + (data[\"min_roll_std_50\"]))))))) + (data[\"ffti_abs_percentile_1\"]))) * 2.0)) \n        v[\"i97\"] = 0.010000*np.tanh(((((data[\"percentile_90\"]) + (((data[\"percentile_70\"]) + (data[\"percentile_90\"]))))) + (((((data[\"min_roll_std_100\"]) + (data[\"ffti_spkt_welch_density_1\"]))) * 2.0)))) \n        v[\"i98\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_100\"]) + (((((((data[\"min_roll_std_100\"]) * 2.0)) + (((data[\"ffti_max_roll_mean_100\"]) * 2.0)))) * 2.0)))) + (data[\"ffti_range_-3000_-2000\"]))) * 2.0)) \n        v[\"i99\"] = 0.010000*np.tanh(((((((data[\"percentile_90\"]) + (((data[\"percentile_roll_mean_5\"]) + (data[\"percentile_90\"]))))) + (((data[\"num_peaks_50\"]) + (data[\"percentile_90\"]))))) * 2.0)) \n        v[\"i100\"] = 0.010000*np.tanh(((((((((((data[\"percentile_20\"]) + (data[\"percentile_90\"]))) + (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)) + (data[\"ffti_kstat_2\"]))) \n        v[\"i101\"] = 0.010000*np.tanh(((((((data[\"num_peaks_10\"]) / 2.0)) - (data[\"mean_change_rate_last_10000\"]))) + (((((((((((data[\"num_peaks_10\"]) + (data[\"abs_percentile_25\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i102\"] = 0.010000*np.tanh(((((data[\"fftr_range_-3000_-2000\"]) - (data[\"mean_change_rate_last_10000\"]))) + (((((((data[\"ffti_abs_percentile_1\"]) * 2.0)) - (data[\"mean_change_rate_first_1000\"]))) * 2.0)))) \n        v[\"i103\"] = 0.010000*np.tanh(((data[\"num_peaks_10\"]) + (((((((((data[\"min_roll_std_100\"]) + (((data[\"num_peaks_10\"]) - (data[\"fftr_classic_sta_lta5_mean\"]))))) * 2.0)) + (data[\"num_peaks_10\"]))) * 2.0)))) \n        v[\"i104\"] = 0.010000*np.tanh(((data[\"fftr_exp_Moving_average_300_std\"]) + (((((((data[\"num_peaks_10\"]) + (data[\"percentile_90\"]))) + (((((data[\"percentile_90\"]) + (((data[\"ffti_abs_percentile_10\"]) + (data[\"classic_sta_lta7_mean\"]))))) * 2.0)))) * 2.0)))) \n        v[\"i105\"] = 0.010000*np.tanh(((((((data[\"fftr_range_-3000_-2000\"]) - (((data[\"exp_Moving_average_30000_std\"]) - (((data[\"ffti_mean_change_rate\"]) - (((data[\"exp_Moving_average_30000_std\"]) - (((data[\"percentile_90\"]) * 2.0)))))))))) * 2.0)) * 2.0)) \n        v[\"i106\"] = 0.010000*np.tanh(((((data[\"min_roll_std_10000\"]) + ((((((-1.0*((data[\"mean_change_rate_last_10000\"])))) + (data[\"mean_change_rate_last_10000\"]))) + ((-1.0*((data[\"mean_change_rate_last_10000\"])))))))) * 2.0)) \n        v[\"i107\"] = 0.010000*np.tanh(((((data[\"percentile_90\"]) + (((((data[\"min_roll_std_500\"]) + (((data[\"ave_roll_mean_100\"]) + (data[\"num_peaks_20\"]))))) + (data[\"percentile_90\"]))))) * 2.0)) \n        v[\"i108\"] = 0.010000*np.tanh(((((((((data[\"ffti_abs_percentile_1\"]) + (((data[\"percentile_90\"]) + (((data[\"num_peaks_10\"]) + (((data[\"ffti_mean_first_50000\"]) + (data[\"ffti_mean_first_50000\"]))))))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i109\"] = 0.010000*np.tanh(((((((data[\"percentile_90\"]) + (data[\"min_roll_std_1000\"]))) + (((data[\"min_roll_mean_10000\"]) + (((data[\"percentile_90\"]) + (data[\"ffti_max_roll_mean_100\"]))))))) * 2.0)) \n        v[\"i110\"] = 0.010000*np.tanh(((((((((((data[\"ffti_mean_change_rate\"]) + (((data[\"ffti_spkt_welch_density_1\"]) + (data[\"percentile_90\"]))))) + (((data[\"ffti_kstat_1\"]) + (data[\"fftr_range_-3000_-2000\"]))))) * 2.0)) * 2.0)) + (data[\"ffti_kstat_1\"]))) \n        v[\"i111\"] = 0.010000*np.tanh(((((data[\"percentile_90\"]) + (((data[\"fftr_percentile_roll_mean_20\"]) + (((((((data[\"fftr_percentile_roll_mean_1\"]) + (data[\"percentile_90\"]))) * 2.0)) * 2.0)))))) + (data[\"fftr_percentile_roll_mean_10\"]))) \n        v[\"i112\"] = 0.010000*np.tanh(((((((((((((data[\"min_roll_std_100\"]) + (data[\"fftr_spkt_welch_density_1\"]))) * 2.0)) + (((data[\"ffti_abs_percentile_1\"]) + (data[\"ffti_abs_max_roll_mean_50\"]))))) * 2.0)) + (((data[\"fftr_percentile_roll_std_99\"]) / 2.0)))) * 2.0)) \n        v[\"i113\"] = 0.010000*np.tanh(((((data[\"num_peaks_10\"]) - (data[\"ffti_exp_Moving_average_3000_std\"]))) + (((((((((data[\"num_peaks_10\"]) - (data[\"ffti_exp_Moving_average_3000_std\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i114\"] = 0.010000*np.tanh(((((data[\"percentile_95\"]) * 2.0)) + (((((((((data[\"percentile_roll_std_20\"]) - (data[\"percentile_roll_std_70\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i115\"] = 0.010000*np.tanh(((((((data[\"ffti_abs_percentile_10\"]) / 2.0)) + (((((data[\"percentile_90\"]) - (data[\"exp_Moving_average_50000_std\"]))) + (data[\"percentile_90\"]))))) * 2.0)) \n        v[\"i116\"] = 0.010000*np.tanh(((((((((data[\"ffti_abs_percentile_1\"]) - (data[\"mean_change_rate_first_1000\"]))) + (((data[\"ffti_abs_percentile_1\"]) - (data[\"mean_change_rate_first_1000\"]))))) * 2.0)) + (data[\"percentile_90\"]))) \n        v[\"i117\"] = 0.010000*np.tanh(((((((((((data[\"fftr_percentile_roll_mean_75\"]) + (data[\"ffti_abs_max_roll_mean_10\"]))) + (data[\"percentile_roll_mean_10\"]))) + (((data[\"percentile_90\"]) + (data[\"num_peaks_10\"]))))) * 2.0)) + (data[\"percentile_roll_mean_10\"]))) \n        v[\"i118\"] = 0.010000*np.tanh(((((data[\"min_roll_std_10000\"]) + (((((((((((data[\"min_roll_std_10000\"]) - (data[\"classic_sta_lta6_mean\"]))) * 2.0)) - (data[\"classic_sta_lta6_mean\"]))) + (data[\"fftr_percentile_roll_mean_75\"]))) + (data[\"num_peaks_10\"]))))) * 2.0)) \n        v[\"i119\"] = 0.010000*np.tanh(((((((data[\"ffti_abs_percentile_10\"]) + (data[\"fftr_percentile_roll_mean_75\"]))) * 2.0)) + ((((((-1.0*((data[\"mean_change_rate_first_10000\"])))) + (data[\"ffti_range_-3000_-2000\"]))) * 2.0)))) \n        v[\"i120\"] = 0.010000*np.tanh(((data[\"percentile_90\"]) + (((((((data[\"abs_percentile_25\"]) + (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)))) \n        v[\"i121\"] = 0.010000*np.tanh(((((((data[\"ffti_abs_percentile_1\"]) * 2.0)) - (data[\"percentile_20\"]))) + (((((((((data[\"percentile_20\"]) * 2.0)) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i122\"] = 0.010000*np.tanh(((((((((((((data[\"min_roll_std_100\"]) * 2.0)) + (data[\"min_roll_std_50\"]))) * 2.0)) * 2.0)) + (((data[\"ffti_abs_max_roll_mean_50\"]) * 2.0)))) * 2.0)) \n        v[\"i123\"] = 0.010000*np.tanh(((((((((data[\"percentile_90\"]) + (((((((data[\"percentile_90\"]) + (data[\"fftr_percentile_roll_mean_10\"]))) * 2.0)) * 2.0)))) + (data[\"fftr_percentile_roll_mean_10\"]))) * 2.0)) * 2.0)) \n        v[\"i124\"] = 0.010000*np.tanh(((((((data[\"percentile_90\"]) - (data[\"std_roll_mean_10000\"]))) + (((((data[\"num_peaks_10\"]) / 2.0)) + (data[\"percentile_90\"]))))) * 2.0)) \n        v[\"i125\"] = 0.010000*np.tanh(((((((((((data[\"percentile_90\"]) + (((((data[\"percentile_90\"]) + (data[\"ffti_std_roll_mean_500\"]))) - (data[\"ffti_std_roll_std_10\"]))))) - (data[\"exp_Moving_average_30000_std\"]))) * 2.0)) + (data[\"fftr_percentile_roll_std_5\"]))) * 2.0)) \n        v[\"i126\"] = 0.010000*np.tanh(((((((((data[\"percentile_20\"]) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) + (((((data[\"percentile_90\"]) + (((data[\"fftr_ave_roll_std_100\"]) + (data[\"percentile_20\"]))))) * 2.0)))) * 2.0)) \n        v[\"i127\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_percentile_roll_mean_5\"]) + (((data[\"percentile_90\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) + (((data[\"ffti_abs_max_roll_mean_50\"]) + (data[\"ffti_time_rev_asym_stat_1\"]))))) * 2.0)) \n        v[\"i128\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_100\"]) + (((data[\"fftr_percentile_roll_mean_1\"]) * 2.0)))) * 2.0)) + ((((((((((data[\"ffti_abs_percentile_5\"]) + (((data[\"fftr_percentile_roll_mean_10\"]) * 2.0)))/2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i129\"] = 0.010000*np.tanh(((((((((((((data[\"av_change_abs_roll_mean_100\"]) + (data[\"fftr_percentile_roll_mean_75\"]))) + (((((((data[\"percentile_90\"]) + (data[\"fftr_percentile_roll_mean_10\"]))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i130\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_1000\"]) + (data[\"ffti_abs_percentile_10\"]))) - (((data[\"mean_change_rate_last_10000\"]) * 2.0)))) * 2.0)) \n        v[\"i131\"] = 0.010000*np.tanh(((data[\"percentile_roll_std_70\"]) - (((data[\"fftr_time_rev_asym_stat_10\"]) - (((((((((data[\"num_peaks_10\"]) + ((-1.0*((data[\"percentile_roll_std_70\"])))))) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i132\"] = 0.010000*np.tanh(((((data[\"percentile_90\"]) * 2.0)) + (((((((((((data[\"percentile_90\"]) * 2.0)) + (data[\"percentile_20\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i133\"] = 0.010000*np.tanh(((((((((data[\"ffti_abs_percentile_10\"]) + (data[\"num_peaks_50\"]))) - (data[\"mean_change_rate_first_1000\"]))) * 2.0)) + (data[\"ffti_abs_max_roll_mean_100\"]))) \n        v[\"i134\"] = 0.010000*np.tanh(((((((((((((((data[\"min_roll_std_100\"]) + (((data[\"ffti_mean\"]) - (data[\"ffti_min_roll_mean_100\"]))))) * 2.0)) * 2.0)) * 2.0)) + (data[\"min_roll_std_50\"]))) * 2.0)) * 2.0)) \n        v[\"i135\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_mean_80\"]) + (((((data[\"fftr_percentile_roll_mean_75\"]) + (data[\"ffti_mean\"]))) + (((data[\"ffti_mean\"]) + (data[\"num_peaks_10\"]))))))) * 2.0)) \n        v[\"i136\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_std_5\"]) + (((((((data[\"fftr_percentile_roll_std_5\"]) - (((data[\"mean_change_rate_last_10000\"]) + (data[\"exp_Moving_average_50000_std\"]))))) + (data[\"num_peaks_50\"]))) * 2.0)))) + (data[\"min_roll_std_10000\"]))) * 2.0)) \n        v[\"i137\"] = 0.010000*np.tanh(((((((((data[\"ffti_range_-2000_-1000\"]) + (data[\"num_peaks_10\"]))) + (((data[\"ffti_range_-2000_-1000\"]) + (data[\"num_peaks_10\"]))))) * 2.0)) * 2.0)) \n        v[\"i138\"] = 0.010000*np.tanh((((-1.0*((data[\"classic_sta_lta6_mean\"])))) + (((((data[\"fftr_abs_percentile_50\"]) + (((((((data[\"percentile_roll_std_20\"]) - (data[\"classic_sta_lta6_mean\"]))) * 2.0)) * 2.0)))) * 2.0)))) \n        v[\"i139\"] = 0.010000*np.tanh(((data[\"min_roll_std_100\"]) + (((((((((((data[\"min_roll_std_100\"]) + (((data[\"min_roll_std_100\"]) * 2.0)))) * 2.0)) + (data[\"min_roll_std_50\"]))) + (data[\"min_roll_std_100\"]))) + (data[\"min_roll_std_50\"]))))) \n        v[\"i140\"] = 0.010000*np.tanh(((((((((((((((((((data[\"percentile_90\"]) * 2.0)) - (data[\"ffti_gmean\"]))) - (data[\"ffti_percentile_roll_std_1\"]))) * 2.0)) * 2.0)) * 2.0)) - (data[\"ffti_percentile_roll_std_5\"]))) * 2.0)) * 2.0)) \n        v[\"i141\"] = 0.010000*np.tanh(((((((data[\"ffti_mean_first_50000\"]) * 2.0)) + (((((data[\"fftr_percentile_roll_std_5\"]) + (data[\"fftr_percentile_roll_std_5\"]))) + (((data[\"ffti_max_roll_mean_50\"]) + (data[\"num_peaks_10\"]))))))) + (data[\"fftr_percentile_roll_std_5\"]))) \n        v[\"i142\"] = 0.010000*np.tanh(((((((data[\"percentile_90\"]) + (((data[\"fftr_percentile_roll_mean_10\"]) + (((((((((data[\"percentile_90\"]) + (data[\"fftr_percentile_roll_mean_10\"]))) * 2.0)) * 2.0)) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i143\"] = 0.010000*np.tanh(((((((((data[\"min_first_10000\"]) + (((((data[\"min_first_10000\"]) + (((data[\"percentile_90\"]) * 2.0)))) * 2.0)))) - (data[\"exp_Moving_average_50000_std\"]))) * 2.0)) * 2.0)) \n        v[\"i144\"] = 0.010000*np.tanh(((((((data[\"abs_percentile_75\"]) + (((((((data[\"ffti_abs_percentile_5\"]) - (data[\"mean_change_rate_first_1000\"]))) + (data[\"ffti_abs_percentile_5\"]))) + (data[\"autocorrelation_10\"]))))) * 2.0)) * 2.0)) \n        v[\"i145\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_range_-2000_-1000\"]) + (((data[\"min_roll_std_10000\"]) * 2.0)))) - (data[\"ffti_abs_percentile_10\"]))) * 2.0)) + (data[\"ffti_abs_percentile_10\"]))) * 2.0)) - (data[\"fftr_abs_percentile_1\"]))) \n        v[\"i146\"] = 0.010000*np.tanh(((((((data[\"percentile_90\"]) + (((((((data[\"percentile_90\"]) * 2.0)) + (((data[\"classic_sta_lta7_mean\"]) + (((data[\"fftr_percentile_roll_mean_10\"]) * 2.0)))))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i147\"] = 0.010000*np.tanh(((((((((((((data[\"num_peaks_10\"]) - (data[\"percentile_roll_std_80\"]))) * 2.0)) + (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)) - (data[\"percentile_95\"]))) \n        v[\"i148\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_mean_75\"]) + (((((((data[\"percentile_roll_mean_1\"]) - (data[\"mean_change_rate_last_50000\"]))) + (data[\"fftr_percentile_roll_mean_75\"]))) + (((((data[\"fftr_range_2000_3000\"]) + (data[\"percentile_roll_mean_1\"]))) * 2.0)))))) * 2.0)) \n        v[\"i149\"] = 0.010000*np.tanh(((((((((((data[\"ffti_abs_percentile_10\"]) + (((data[\"ffti_abs_max_roll_mean_10\"]) + (((data[\"percentile_90\"]) - (data[\"classic_sta_lta5_mean\"]))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i150\"] = 0.010000*np.tanh(((((data[\"ffti_hmean\"]) + (((data[\"num_peaks_50\"]) * 2.0)))) + (((data[\"ffti_mean_first_50000\"]) + (data[\"ffti_abs_percentile_10\"]))))) \n        v[\"i151\"] = 0.010000*np.tanh(((((((((((((((data[\"classic_sta_lta7_mean\"]) + (((data[\"ffti_abs_percentile_10\"]) * 2.0)))) * 2.0)) + (data[\"num_peaks_50\"]))) * 2.0)) * 2.0)) + (data[\"num_peaks_50\"]))) * 2.0)) \n        v[\"i152\"] = 0.010000*np.tanh(((((((((data[\"abs_percentile_50\"]) - (((((((data[\"ffti_mean_last_50000\"]) + (data[\"mean_change_rate_first_1000\"]))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) - (data[\"ffti_mean_last_50000\"]))) \n        v[\"i153\"] = 0.010000*np.tanh(((((((((((data[\"ffti_abs_percentile_5\"]) + (((data[\"ffti_abs_percentile_25\"]) + (((data[\"fftr_percentile_roll_std_5\"]) * 2.0)))))) - (data[\"percentile_20\"]))) + (data[\"autocorrelation_10000\"]))) * 2.0)) * 2.0)) \n        v[\"i154\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_std_5\"]) + (((data[\"ffti_hmean\"]) + (((data[\"ffti_av_change_abs_roll_std_100\"]) + (data[\"ffti_mean_change_rate\"]))))))) * 2.0)) + (((((data[\"ffti_av_change_abs_roll_std_100\"]) - (data[\"mean_change_rate_first_1000\"]))) * 2.0)))) \n        v[\"i155\"] = 0.010000*np.tanh(((((((((((data[\"fftr_percentile_roll_mean_80\"]) + (data[\"fftr_min_roll_mean_500\"]))) + (data[\"num_peaks_10\"]))) * 2.0)) + (data[\"fftr_min_roll_mean_500\"]))) * 2.0)) \n        v[\"i156\"] = 0.010000*np.tanh(((((((data[\"percentile_30\"]) + (((data[\"ffti_mean_first_50000\"]) + (data[\"fftr_min_roll_mean_10000\"]))))) + (((((((data[\"fftr_percentile_roll_mean_80\"]) + (data[\"percentile_90\"]))) * 2.0)) + (data[\"av_change_abs_roll_std_10000\"]))))) * 2.0)) \n        v[\"i157\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_std_10\"]) + (((((data[\"ffti_abs_percentile_10\"]) + (data[\"classic_sta_lta7_mean\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i158\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_50\"]) + (data[\"percentile_roll_mean_5\"]))) + (((data[\"ffti_max_roll_mean_100\"]) + (data[\"ffti_mean_first_50000\"]))))) * 2.0)) \n        v[\"i159\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_min_roll_mean_1000\"]) * (data[\"fftr_mean_last_50000\"]))) * 2.0)) * 2.0)) * 2.0)) - (((data[\"mean_change_rate_first_1000\"]) - (data[\"ffti_av_change_abs_roll_std_100\"]))))) * 2.0)) \n        v[\"i160\"] = 0.010000*np.tanh(((data[\"fftr_ave_roll_mean_500\"]) + (((((data[\"ffti_mean\"]) + (((((((data[\"ffti_mean\"]) + (data[\"fftr_percentile_roll_mean_75\"]))) * 2.0)) - (data[\"mean_change_rate\"]))))) * 2.0)))) \n        v[\"i161\"] = 0.010000*np.tanh(((((((((((((((((data[\"fftr_percentile_roll_mean_10\"]) * 2.0)) + (((data[\"fftr_max_last_10000\"]) + (data[\"fftr_percentile_roll_mean_10\"]))))) * 2.0)) + (data[\"autocorrelation_10000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i162\"] = 0.010000*np.tanh(((((data[\"percentile_80\"]) * (data[\"autocorrelation_100\"]))) + (((((((data[\"percentile_80\"]) * (((((data[\"autocorrelation_100\"]) * 2.0)) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i163\"] = 0.010000*np.tanh(((((((((((data[\"range_-1000_0\"]) - (data[\"exp_Moving_std_50000_std\"]))) - (data[\"mean_change_rate_last_10000\"]))) + (((data[\"ffti_hmean\"]) + (((data[\"ffti_abs_percentile_1\"]) - (data[\"ffti_min_roll_std_10000\"]))))))) * 2.0)) * 2.0)) \n        v[\"i164\"] = 0.010000*np.tanh(((((((data[\"ffti_mean_first_50000\"]) * 2.0)) + (((((((data[\"percentile_90\"]) * 2.0)) - (data[\"ffti_exp_Moving_average_3000_std\"]))) + (((data[\"fftr_percentile_roll_mean_1\"]) + (data[\"min_roll_std_1000\"]))))))) * 2.0)) \n        v[\"i165\"] = 0.010000*np.tanh(((((((((data[\"time_rev_asym_stat_1\"]) + (((data[\"ffti_abs_max_roll_mean_10\"]) * 2.0)))) + (((data[\"autocorrelation_10\"]) + (data[\"percentile_90\"]))))) * 2.0)) * 2.0)) \n        v[\"i166\"] = 0.010000*np.tanh(((data[\"fftr_range_-3000_-2000\"]) + (((((((data[\"percentile_1\"]) + (data[\"min_roll_std_100\"]))) * 2.0)) * 2.0)))) \n        v[\"i167\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_percentile_roll_mean_75\"]) * 2.0)) - (((((data[\"ffti_abs_max_roll_mean_10000\"]) + (data[\"ffti_min_roll_std_10000\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i168\"] = 0.010000*np.tanh(((((((((data[\"fftr_percentile_roll_std_5\"]) * 2.0)) - (data[\"mean_change_rate_first_1000\"]))) + (((((((data[\"fftr_percentile_roll_std_5\"]) - (data[\"mean_change_rate_first_1000\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i169\"] = 0.010000*np.tanh(((((((((((((((data[\"percentile_70\"]) + (data[\"ffti_av_change_abs_roll_std_10000\"]))) + (data[\"autocorrelation_10000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (data[\"autocorrelation_10\"]))) \n        v[\"i170\"] = 0.010000*np.tanh(((((data[\"fftr_mean_last_50000\"]) * (((((((((data[\"ffti_skew\"]) - (data[\"ffti_abs_max_roll_mean_100\"]))) * 2.0)) * 2.0)) - (((data[\"percentile_roll_std_70\"]) - (((data[\"fftr_kstat_1\"]) * 2.0)))))))) * 2.0)) \n        v[\"i171\"] = 0.010000*np.tanh(((((((((((((((data[\"autocorrelation_10000\"]) - (data[\"autocorrelation_1000\"]))) - (data[\"autocorrelation_1000\"]))) - (data[\"ffti_mean_last_50000\"]))) * 2.0)) - (data[\"ffti_mean_last_50000\"]))) * 2.0)) * 2.0)) \n        v[\"i172\"] = 0.010000*np.tanh(((((((data[\"ffti_abs_percentile_5\"]) * 2.0)) + (((((((((((((data[\"num_peaks_50\"]) - (data[\"av_change_abs_roll_mean_500\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i173\"] = 0.010000*np.tanh(((((((((((data[\"ffti_mean_first_50000\"]) + (data[\"ffti_mean_first_50000\"]))) - (((((data[\"std_roll_mean_10000\"]) - (data[\"ffti_autocorrelation_1000\"]))) - (data[\"ffti_mean_first_50000\"]))))) - (data[\"av_change_abs_roll_mean_500\"]))) * 2.0)) * 2.0)) \n        v[\"i174\"] = 0.010000*np.tanh(((((data[\"num_peaks_10\"]) + (((data[\"ffti_autocorrelation_10\"]) + (((((((data[\"fftr_percentile_roll_std_5\"]) - (data[\"ffti_percentile_90\"]))) * 2.0)) - ((((data[\"fftr_min_roll_std_500\"]) + (data[\"fftr_min_roll_std_500\"]))/2.0)))))))) * 2.0)) \n        v[\"i175\"] = 0.010000*np.tanh(((((((((((data[\"fftr_time_rev_asym_stat_1\"]) * (((data[\"mean_first_50000\"]) + (data[\"ffti_av_change_abs_roll_std_10000\"]))))) * 2.0)) * 2.0)) + (data[\"ffti_max_last_1000\"]))) * 2.0)) \n        v[\"i176\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_time_rev_asym_stat_50\"]) * 2.0)) * 2.0)) * (((((data[\"autocorrelation_10\"]) - (data[\"fftr_av_change_abs_roll_mean_10000\"]))) * 2.0)))) + (data[\"autocorrelation_10\"]))) * 2.0)) * 2.0)) \n        v[\"i177\"] = 0.010000*np.tanh(((((((((data[\"autocorrelation_100\"]) * 2.0)) * (((data[\"ffti_abs_max_roll_mean_100\"]) + (((((data[\"percentile_90\"]) * 2.0)) + (data[\"percentile_roll_mean_75\"]))))))) * 2.0)) * 2.0)) \n        v[\"i178\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_roll_mean_5\"]) + (((((data[\"min_roll_std_10000\"]) + (((data[\"ffti_percentile_roll_mean_5\"]) - (data[\"mean_change_rate_first_10000\"]))))) + (data[\"fftr_range_-3000_-2000\"]))))) * 2.0)) \n        v[\"i179\"] = 0.010000*np.tanh(((((data[\"num_peaks_50\"]) + (((((((data[\"av_change_abs_roll_std_1000\"]) - (((((((data[\"classic_sta_lta5_mean\"]) - (((data[\"percentile_95\"]) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i180\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_mean_10\"]) + (((((data[\"fftr_percentile_roll_mean_10\"]) + (((data[\"percentile_90\"]) + (((((data[\"fftr_min_roll_std_500\"]) * (data[\"fftr_range_p4000_pinf\"]))) * 2.0)))))) * 2.0)))) * 2.0)) \n        v[\"i181\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_mean\"]) - (data[\"fftr_min_roll_std_500\"]))) * 2.0)) - (data[\"fftr_num_peaks_50\"]))) * 2.0)) - (data[\"min_first_10000\"]))) - (data[\"ffti_exp_Moving_average_50000_mean\"]))) \n        v[\"i182\"] = 0.010000*np.tanh(((((((data[\"percentile_70\"]) + (data[\"std_last_1000\"]))) + (((((((data[\"ffti_av_change_abs_roll_std_100\"]) * 2.0)) + (((data[\"ffti_abs_percentile_10\"]) + (data[\"percentile_70\"]))))) + (data[\"percentile_90\"]))))) * 2.0)) \n        v[\"i183\"] = 0.010000*np.tanh(((((((data[\"percentile_95\"]) * 2.0)) + (((((((((data[\"ffti_percentile_roll_std_20\"]) * (((data[\"fftr_av_change_abs_roll_std_10\"]) * 2.0)))) + (data[\"fftr_min_last_1000\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i184\"] = 0.010000*np.tanh(((((data[\"ffti_abs_percentile_10\"]) + (((((((data[\"ffti_abs_percentile_10\"]) + (data[\"classic_sta_lta7_mean\"]))) * 2.0)) + (data[\"autocorrelation_10000\"]))))) * 2.0)) \n        v[\"i185\"] = 0.010000*np.tanh(((((data[\"autocorrelation_5\"]) + (((((data[\"num_peaks_50\"]) + (((((data[\"autocorrelation_5\"]) * (((data[\"ffti_classic_sta_lta8_mean\"]) - (data[\"fftr_time_rev_asym_stat_5\"]))))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i186\"] = 0.010000*np.tanh(((((data[\"autocorrelation_10000\"]) + (((((((data[\"iqr1\"]) + (data[\"autocorrelation_10\"]))) * 2.0)) + (((((data[\"range_-1000_0\"]) + (data[\"ffti_abs_percentile_1\"]))) * 2.0)))))) * 2.0)) \n        v[\"i187\"] = 0.010000*np.tanh(((data[\"percentile_40\"]) + (((((((((data[\"num_peaks_10\"]) + (data[\"percentile_40\"]))) + (data[\"ffti_mean_change_rate\"]))) * 2.0)) + (((data[\"max_first_10000\"]) + ((-1.0*((data[\"fftr_min_roll_std_100\"])))))))))) \n        v[\"i188\"] = 0.010000*np.tanh(((((data[\"fftr_min_roll_std_100\"]) - (data[\"fftr_min_roll_std_100\"]))) + (((((data[\"autocorrelation_10000\"]) - (((((data[\"fftr_ave_roll_mean_10000\"]) * (data[\"min_roll_std_50\"]))) - (data[\"ffti_autocorrelation_1000\"]))))) * 2.0)))) \n        v[\"i189\"] = 0.010000*np.tanh((((9.66034984588623047)) * (((((data[\"max_to_min\"]) * (((((data[\"ffti_autocorrelation_5000\"]) * 2.0)) * 2.0)))) + (((data[\"ffti_percentile_roll_mean_5\"]) * 2.0)))))) \n        v[\"i190\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_mean_80\"]) * 2.0)) + (((((((((((data[\"min_first_10000\"]) * 2.0)) + (data[\"percentile_90\"]))) + (data[\"abs_percentile_75\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i191\"] = 0.010000*np.tanh(((((((((((((((((((data[\"num_peaks_100\"]) * (((data[\"ffti_abs_percentile_1\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i192\"] = 0.010000*np.tanh(((((((data[\"ffti_abs_percentile_5\"]) + (((data[\"ffti_abs_percentile_5\"]) + (((data[\"fftr_min_last_1000\"]) + (((data[\"percentile_70\"]) + (data[\"ffti_abs_percentile_5\"]))))))))) - (data[\"std_roll_mean_10000\"]))) * 2.0)) \n        v[\"i193\"] = 0.010000*np.tanh(((((((((((data[\"ffti_av_change_abs_roll_std_100\"]) * 2.0)) - (((((data[\"mean_change_rate_last_50000\"]) * 2.0)) - (data[\"mean_change_rate_last_10000\"]))))) - (data[\"mean_change_rate_last_10000\"]))) - (((data[\"mean_change_rate_last_10000\"]) * 2.0)))) * 2.0)) \n        v[\"i194\"] = 0.010000*np.tanh((((((((-1.0*((((data[\"classic_sta_lta1_mean\"]) * ((-1.0*((data[\"autocorrelation_5\"]))))))))) * 2.0)) - (data[\"fftr_percentile_roll_mean_80\"]))) * 2.0)) \n        v[\"i195\"] = 0.010000*np.tanh(((data[\"fftr_time_rev_asym_stat_5\"]) - (((data[\"fftr_time_rev_asym_stat_50\"]) * (((((((((data[\"ffti_classic_sta_lta6_mean\"]) + ((-1.0*((((data[\"fftr_max_roll_mean_10\"]) + (data[\"min_first_10000\"])))))))) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i196\"] = 0.010000*np.tanh(((((data[\"ffti_classic_sta_lta5_mean\"]) * (data[\"kurt\"]))) + (((((((data[\"fftr_abs_percentile_60\"]) * (data[\"fftr_abs_percentile_25\"]))) * 2.0)) * 2.0)))) \n        v[\"i197\"] = 0.010000*np.tanh(((((data[\"ffti_mean_first_50000\"]) * (data[\"ffti_mean_change_abs\"]))) - (((data[\"mean_change_rate_last_10000\"]) - (((((data[\"ffti_percentile_99\"]) * 2.0)) + (((((data[\"ffti_mean_first_10000\"]) * (data[\"ffti_mean_change_abs\"]))) * 2.0)))))))) \n        v[\"i198\"] = 0.010000*np.tanh(((((((((((data[\"fftr_range_2000_3000\"]) + (data[\"mean_first_50000\"]))) * 2.0)) * 2.0)) + (data[\"mean_first_50000\"]))) * 2.0)) \n        v[\"i199\"] = 0.010000*np.tanh(((((((((data[\"ffti_mean_first_50000\"]) + (data[\"fftr_percentile_roll_mean_75\"]))) + (((data[\"ffti_av_change_abs_roll_mean_500\"]) + (data[\"ffti_av_change_abs_roll_std_100\"]))))) + (data[\"num_peaks_50\"]))) * 2.0)) \n        v[\"i200\"] = 0.010000*np.tanh(((((((((((data[\"ffti_autocorrelation_10\"]) * 2.0)) - (data[\"classic_sta_lta1_mean\"]))) * 2.0)) * 2.0)) * (data[\"mean_change_rate_last_1000\"]))) \n        v[\"i201\"] = 0.010000*np.tanh(((((((((((data[\"fftr_hmean\"]) * 2.0)) * 2.0)) * (((((data[\"ffti_mean\"]) - (((data[\"Hilbert_mean\"]) + (data[\"ave10\"]))))) - (data[\"ffti_autocorrelation_50\"]))))) * 2.0)) * 2.0)) \n        v[\"i202\"] = 0.010000*np.tanh(((data[\"ffti_skew\"]) * (((((((((data[\"fftr_percentile_roll_mean_20\"]) * 2.0)) * 2.0)) + (data[\"ffti_percentile_roll_mean_25\"]))) + (((data[\"ffti_max_last_1000\"]) + (data[\"fftr_percentile_roll_mean_20\"]))))))) \n        v[\"i203\"] = 0.010000*np.tanh(((data[\"abs_percentile_25\"]) - (((data[\"fftr_abs_max\"]) * (((((((((((((((((data[\"fftr_min_roll_std_500\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i204\"] = 0.010000*np.tanh(((data[\"fftr_num_peaks_50\"]) * (((((((data[\"fftr_percentile_roll_std_10\"]) - (((((((data[\"abs_percentile_60\"]) - (((data[\"fftr_percentile_roll_std_10\"]) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i205\"] = 0.010000*np.tanh((((((data[\"fftr_percentile_roll_mean_10\"]) + (((((((((((data[\"percentile_90\"]) + (data[\"ffti_av_change_abs_roll_std_100\"]))) * 2.0)) + (((((data[\"fftr_percentile_roll_mean_10\"]) * 2.0)) * 2.0)))) * 2.0)) * 2.0)))/2.0)) * 2.0)) \n        v[\"i206\"] = 0.010000*np.tanh(((((((data[\"fftr_mean_last_50000\"]) - (((((((((((data[\"fftr_mean_last_50000\"]) * (((((data[\"fftr_std_roll_mean_500\"]) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i207\"] = 0.010000*np.tanh(((((((data[\"ffti_max_roll_mean_10\"]) + (((((((((data[\"std_last_1000\"]) + (data[\"percentile_70\"]))) * 2.0)) + (data[\"av_change_rate_roll_std_500\"]))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i208\"] = 0.010000*np.tanh(((((((data[\"percentile_70\"]) + (data[\"autocorrelation_5000\"]))) * 2.0)) * 2.0)) \n        v[\"i209\"] = 0.010000*np.tanh(((((data[\"ffti_abs_percentile_10\"]) + (((((((data[\"ffti_ave10\"]) * (data[\"exp_Moving_average_50000_std\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i210\"] = 0.010000*np.tanh(((((((((((((((((data[\"abs_percentile_25\"]) - (data[\"fftr_min_roll_std_100\"]))) * 2.0)) - (data[\"max_roll_mean_10000\"]))) * 2.0)) * 2.0)) - (data[\"max_roll_mean_10000\"]))) * 2.0)) * 2.0)) \n        v[\"i211\"] = 0.010000*np.tanh(((((((((((data[\"ffti_av_change_abs_roll_std_10\"]) * 2.0)) * (data[\"min_roll_std_10\"]))) * 2.0)) + (data[\"fftr_av_change_abs_roll_std_10000\"]))) + (((((data[\"ffti_av_change_abs_roll_std_10\"]) * 2.0)) * (data[\"min_roll_std_10\"]))))) \n        v[\"i212\"] = 0.010000*np.tanh((((((((data[\"av_change_abs_roll_mean_100\"]) + (data[\"ffti_mean_change_rate\"]))/2.0)) * 2.0)) + (((((((data[\"fftr_min_roll_std_500\"]) * (((data[\"ffti_abs_percentile_10\"]) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i213\"] = 0.010000*np.tanh(((((data[\"abs_percentile_80\"]) * (((((((((data[\"kurt\"]) + (data[\"min_first_1000\"]))) - (data[\"fftr_percentile_roll_mean_60\"]))) * 2.0)) + (((data[\"min_first_1000\"]) + (data[\"abs_percentile_80\"]))))))) * 2.0)) \n        v[\"i214\"] = 0.010000*np.tanh(((((((((((data[\"mean_change_rate_last_1000\"]) * (((((data[\"ffti_autocorrelation_10\"]) * 2.0)) - (data[\"num_peaks_50\"]))))) * 2.0)) * 2.0)) * 2.0)) + (((((data[\"ffti_autocorrelation_10\"]) * 2.0)) * 2.0)))) \n        v[\"i215\"] = 0.010000*np.tanh(((((((((((data[\"min_last_10000\"]) * (data[\"ffti_Hann_window_mean_15000\"]))) * 2.0)) - (data[\"ffti_min_roll_std_500\"]))) * 2.0)) - (((((data[\"autocorrelation_5\"]) * (data[\"autocorrelation_10\"]))) * 2.0)))) \n        v[\"i216\"] = 0.010000*np.tanh(((((((((((((((((data[\"min_roll_std_10000\"]) - (data[\"ffti_range_p4000_pinf\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (data[\"fftr_percentile_roll_std_5\"]))) * 2.0)) \n        v[\"i217\"] = 0.010000*np.tanh(((((((((((data[\"fftr_autocorrelation_50\"]) + (((((data[\"classic_sta_lta7_mean\"]) - (data[\"mean_change_rate\"]))) * 2.0)))) * 2.0)) * 2.0)) + (data[\"classic_sta_lta7_mean\"]))) * 2.0)) \n        v[\"i218\"] = 0.010000*np.tanh(((data[\"ffti_skew\"]) + (((((((((((((data[\"classic_sta_lta4_mean\"]) + (data[\"ffti_abs_percentile_10\"]))) * (((data[\"fftr_min_roll_std_500\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i219\"] = 0.010000*np.tanh(((((((((data[\"fftr_av_change_abs_roll_std_100\"]) + (((((((data[\"ffti_abs_percentile_5\"]) * 2.0)) + (data[\"ffti_abs_percentile_5\"]))) - (data[\"mean_change_rate_last_10000\"]))))) * (data[\"fftr_classic_sta_lta4_mean\"]))) * 2.0)) * 2.0)) \n        v[\"i220\"] = 0.010000*np.tanh(((((((data[\"ffti_autocorrelation_50\"]) * (data[\"ffti_autocorrelation_50\"]))) - (((data[\"fftr_hmean\"]) * 2.0)))) - (data[\"fftr_min_roll_std_500\"]))) \n        v[\"i221\"] = 0.010000*np.tanh(((((((data[\"kurt\"]) + (((((((data[\"ffti_max_first_10000\"]) + (((((data[\"kurt\"]) * (data[\"ffti_iqr\"]))) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i222\"] = 0.010000*np.tanh(((((((((((data[\"ffti_abs_percentile_1\"]) - (((data[\"mean_change_rate_first_1000\"]) - (data[\"ffti_mean_first_50000\"]))))) * 2.0)) * 2.0)) + (data[\"mean_change_rate_first_1000\"]))) * 2.0)) \n        v[\"i223\"] = 0.010000*np.tanh(((data[\"percentile_20\"]) + (((((((((((data[\"fftr_percentile_roll_std_5\"]) * 2.0)) * 2.0)) - (((((data[\"percentile_20\"]) + (((data[\"ffti_av_change_abs_roll_std_50\"]) * 2.0)))) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i224\"] = 0.010000*np.tanh(((((((((data[\"classic_sta_lta7_mean\"]) - (data[\"mean_change_rate_first_1000\"]))) * 2.0)) + (((((data[\"percentile_90\"]) - (((data[\"ffti_trend\"]) - (data[\"ffti_mean_change_rate\"]))))) * 2.0)))) * 2.0)) \n        v[\"i225\"] = 0.010000*np.tanh(((((((data[\"ffti_mean\"]) + (data[\"fftr_percentile_roll_mean_70\"]))) + (((((data[\"ffti_av_change_abs_roll_std_10000\"]) + (((data[\"percentile_70\"]) + (data[\"fftr_min_first_1000\"]))))) + (data[\"ffti_max_roll_mean_10\"]))))) * 2.0)) \n        v[\"i226\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_abs_percentile_10\"]) - (data[\"ffti_abs_max_roll_std_100\"]))) + ((((-1.0*((((data[\"fftr_min_roll_std_100\"]) - (data[\"abs_percentile_25\"])))))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i227\"] = 0.010000*np.tanh(((data[\"fftr_percentile_roll_mean_70\"]) + (((((((data[\"percentile_roll_std_30\"]) + (((((((((data[\"autocorrelation_5\"]) * (data[\"classic_sta_lta1_mean\"]))) * 2.0)) * 2.0)) * 2.0)))) - (data[\"ffti_autocorrelation_10000\"]))) * 2.0)))) \n        v[\"i228\"] = 0.010000*np.tanh(((((data[\"ffti_max_last_1000\"]) + (((data[\"ffti_min_roll_std_50\"]) + (((((data[\"ffti_max_last_1000\"]) + (((data[\"ffti_max_roll_mean_10\"]) + (data[\"fftr_num_peaks_10\"]))))) * 2.0)))))) * 2.0)) \n        v[\"i229\"] = 0.010000*np.tanh(((((((data[\"fftr_autocorrelation_50\"]) + (((((((data[\"ffti_min_roll_std_10\"]) * (data[\"fftr_av_change_abs_roll_mean_50\"]))) * 2.0)) + (data[\"percentile_roll_std_20\"]))))) - (data[\"ffti_min_first_1000\"]))) + (data[\"fftr_autocorrelation_50\"]))) \n        v[\"i230\"] = 0.010000*np.tanh((((((((((((data[\"percentile_70\"]) + (data[\"std_last_10000\"]))/2.0)) + (((((data[\"fftr_min_last_1000\"]) + (data[\"classic_sta_lta2_mean\"]))) * 2.0)))) * 2.0)) + (data[\"classic_sta_lta7_mean\"]))) * 2.0)) \n        v[\"i231\"] = 0.010000*np.tanh(((((((((((((data[\"min_roll_std_500\"]) - (data[\"percentile_roll_std_70\"]))) * 2.0)) * 2.0)) * 2.0)) - (data[\"percentile_roll_std_70\"]))) * 2.0)) \n        v[\"i232\"] = 0.010000*np.tanh((((((data[\"fftr_sum\"]) + (data[\"num_peaks_10\"]))/2.0)) - (((((data[\"fftr_sum\"]) * (((((data[\"abs_percentile_80\"]) * 2.0)) * 2.0)))) * 2.0)))) \n        v[\"i233\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_percentile_roll_std_5\"]) - (data[\"ffti_mean_change_rate_last_10000\"]))) * 2.0)) - (data[\"ffti_mean_change_rate_last_10000\"]))) * 2.0)) - (data[\"fftr_min_roll_std_500\"]))) * 2.0)) * 2.0)) \n        v[\"i234\"] = 0.010000*np.tanh(((data[\"abs_percentile_60\"]) + (((((data[\"ffti_hmean\"]) + (((data[\"autocorrelation_10000\"]) + (((data[\"ffti_autocorrelation_1000\"]) + (data[\"ffti_mean_first_50000\"]))))))) * 2.0)))) \n        v[\"i235\"] = 0.010000*np.tanh(((((((((((data[\"autocorrelation_100\"]) + (data[\"max_to_min\"]))) * 2.0)) * 2.0)) + (data[\"autocorrelation_100\"]))) + (((((((data[\"autocorrelation_100\"]) * 2.0)) + (data[\"max_to_min\"]))) * 2.0)))) \n        v[\"i236\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_abs_percentile_5\"]) - (data[\"ffti_max_last_1000\"]))) + (((data[\"fftr_percentile_roll_std_5\"]) + (data[\"autocorrelation_100\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i237\"] = 0.010000*np.tanh(((((data[\"classic_sta_lta4_mean\"]) * (((((((data[\"fftr_min_roll_std_500\"]) * 2.0)) + (((((data[\"std_first_1000\"]) * 2.0)) + (data[\"abs_percentile_70\"]))))) + (((data[\"fftr_min_roll_std_500\"]) * 2.0)))))) * 2.0)) \n        v[\"i238\"] = 0.010000*np.tanh(((((data[\"percentile_90\"]) + (((data[\"percentile_roll_mean_60\"]) + (((data[\"percentile_70\"]) * (data[\"autocorrelation_100\"]))))))) * 2.0)) \n        v[\"i239\"] = 0.010000*np.tanh(((((((data[\"ffti_abs_max_roll_mean_10\"]) + (((((data[\"ffti_abs_max_roll_mean_10\"]) + (((((data[\"autocorrelation_5000\"]) * 2.0)) * 2.0)))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i240\"] = 0.010000*np.tanh(((((((data[\"fftr_min_roll_mean_10000\"]) + (((((data[\"ffti_autocorrelation_5000\"]) * (((((((data[\"ffti_max_roll_std_100\"]) - (data[\"fftr_percentile_roll_std_25\"]))) * 2.0)) + (data[\"max_to_min\"]))))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i241\"] = 0.010000*np.tanh(((((((((data[\"fftr_classic_sta_lta5_mean\"]) - (data[\"percentile_70\"]))) * ((-1.0*((data[\"fftr_time_rev_asym_stat_10\"])))))) + (((data[\"ffti_abs_percentile_10\"]) * 2.0)))) * 2.0)) \n        v[\"i242\"] = 0.010000*np.tanh(((data[\"ffti_mean\"]) + (((((((((((data[\"percentile_roll_mean_95\"]) * ((-1.0*((data[\"ffti_percentile_roll_std_20\"])))))) * 2.0)) * 2.0)) * 2.0)) + (((data[\"autocorrelation_10000\"]) - (data[\"mean_change_rate_first_10000\"]))))))) \n        v[\"i243\"] = 0.010000*np.tanh(((((((((((data[\"fftr_percentile_roll_mean_80\"]) + (data[\"ffti_mean\"]))) * 2.0)) - (data[\"mean_change_rate_last_50000\"]))) * 2.0)) * 2.0)) \n        v[\"i244\"] = 0.010000*np.tanh(((((data[\"autocorrelation_10000\"]) + (data[\"fftr_percentile_roll_mean_10\"]))) - (((data[\"ffti_exp_Moving_average_30000_std\"]) * (((data[\"autocorrelation_10000\"]) * 2.0)))))) \n        v[\"i245\"] = 0.010000*np.tanh(((data[\"ffti_max_roll_mean_500\"]) + (((((((((((((data[\"ffti_min_roll_std_1000\"]) * (data[\"fftr_abs_max_roll_mean_50\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (data[\"ffti_max_roll_mean_500\"]))))) \n        v[\"i246\"] = 0.010000*np.tanh(((((((data[\"fftr_exp_Moving_average_50000_std\"]) * (((((((data[\"fftr_time_rev_asym_stat_50\"]) * 2.0)) * 2.0)) * 2.0)))) + (((((((data[\"ffti_autocorrelation_10\"]) - (data[\"ffti_spkt_welch_density_10\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i247\"] = 0.010000*np.tanh(((data[\"percentile_90\"]) + (((data[\"ffti_percentile_roll_std_60\"]) + ((((((((-1.0*((((((((data[\"ffti_av_change_abs_roll_std_50\"]) * 2.0)) - (data[\"percentile_90\"]))) * 2.0))))) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i248\"] = 0.010000*np.tanh(((((data[\"fftr_max_to_min\"]) - (((data[\"fftr_max_to_min\"]) * (((((((((data[\"fftr_min_roll_std_500\"]) * 2.0)) * 2.0)) + (((data[\"fftr_min_roll_std_500\"]) * 2.0)))) * 2.0)))))) * 2.0)) \n        v[\"i249\"] = 0.010000*np.tanh(((data[\"ffti_hmean\"]) + (((((((((((data[\"ffti_num_peaks_10\"]) * (((data[\"ffti_min_roll_std_50\"]) * 2.0)))) + (data[\"ffti_max_last_1000\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i250\"] = 0.010000*np.tanh(((((((((data[\"fftr_num_peaks_100\"]) * (((data[\"percentile_40\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i251\"] = 0.010000*np.tanh(((((((((data[\"fftr_abs_percentile_10\"]) - (((((data[\"ffti_min_roll_std_500\"]) - (data[\"ffti_abs_percentile_20\"]))) * 2.0)))) * 2.0)) - (((data[\"fftr_ave_roll_std_500\"]) - (data[\"ffti_av_change_abs_roll_std_100\"]))))) - (data[\"fftr_percentile_40\"]))) \n        v[\"i252\"] = 0.010000*np.tanh(((((((data[\"fftr_time_rev_asym_stat_50\"]) * (((((((((((data[\"fftr_time_rev_asym_stat_50\"]) + (data[\"percentile_20\"]))) * 2.0)) * 2.0)) - (data[\"fftr_min_roll_std_500\"]))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i253\"] = 0.010000*np.tanh(((((data[\"ffti_abs_max_roll_mean_500\"]) + ((((((-1.0*((((data[\"mean_change_rate_last_10000\"]) - (data[\"ffti_mean_change_rate\"])))))) * 2.0)) * 2.0)))) + (((data[\"ffti_mean_change_rate\"]) - (data[\"ffti_percentile_roll_std_1\"]))))) \n        v[\"i254\"] = 0.010000*np.tanh(((((data[\"fftr_time_rev_asym_stat_5\"]) + (((((((((data[\"mean_change_rate_last_1000\"]) * (((data[\"fftr_time_rev_asym_stat_5\"]) - (data[\"num_peaks_50\"]))))) * 2.0)) * 2.0)) + (data[\"autocorrelation_10\"]))))) * 2.0)) \n        v[\"i255\"] = 0.010000*np.tanh(((((((((((((data[\"min_first_10000\"]) + (data[\"percentile_90\"]))) - (data[\"ffti_percentile_roll_std_1\"]))) * 2.0)) + (((data[\"min_first_10000\"]) * 2.0)))) * 2.0)) + (data[\"ffti_percentile_roll_std_1\"]))) \n        v[\"i256\"] = 0.010000*np.tanh(((((((data[\"ffti_percentile_80\"]) - (((data[\"fftr_min_roll_std_100\"]) - (((((data[\"ffti_exp_Moving_average_3000_std\"]) * (data[\"kurt\"]))) * 2.0)))))) * 2.0)) + (data[\"ffti_mean_change_rate\"]))) \n        v[\"i257\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_min_roll_std_500\"]) * 2.0)) * (((data[\"fftr_min_roll_std_500\"]) + ((-1.0*((data[\"percentile_20\"])))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i258\"] = 0.010000*np.tanh(((((((((((((data[\"percentile_90\"]) * 2.0)) * (((((data[\"ffti_av_change_rate_roll_std_50\"]) * (data[\"autocorrelation_100\"]))) + (data[\"min_roll_std_10000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i259\"] = 0.010000*np.tanh(((((((((((data[\"ffti_skew\"]) * (((((data[\"fftr_percentile_roll_mean_20\"]) + (data[\"av_change_abs_roll_mean_50\"]))) + (data[\"fftr_percentile_roll_mean_10\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i260\"] = 0.010000*np.tanh(((((((((((((((((data[\"percentile_roll_std_20\"]) - (data[\"percentile_roll_std_70\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (data[\"num_peaks_100\"]))) + (data[\"percentile_roll_std_70\"]))) \n        v[\"i261\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_sum\"]) + (data[\"ffti_abs_percentile_10\"]))) - (data[\"fftr_abs_percentile_1\"]))) * 2.0)) * 2.0)) * (data[\"autocorrelation_10000\"]))) * 2.0)) - (data[\"fftr_abs_percentile_1\"]))) \n        v[\"i262\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_percentile_roll_std_10\"]) + (((data[\"fftr_min_roll_std_500\"]) * 2.0)))) + (((((data[\"fftr_av_change_abs_roll_std_10000\"]) * 2.0)) * 2.0)))) * 2.0)) * (data[\"fftr_min_roll_std_500\"]))) * 2.0)) * 2.0)) \n        v[\"i263\"] = 0.010000*np.tanh(((((data[\"autocorrelation_5\"]) + (((data[\"autocorrelation_50\"]) + (((data[\"fftr_min_first_1000\"]) + (data[\"fftr_abs_mean\"]))))))) * (((((data[\"fftr_min_roll_std_100\"]) - (data[\"fftr_autocorrelation_10000\"]))) - (data[\"fftr_autocorrelation_10000\"]))))) \n        v[\"i264\"] = 0.010000*np.tanh(((((((((((data[\"ffti_mean_first_50000\"]) + (data[\"ffti_abs_percentile_10\"]))) * 2.0)) + (((((data[\"ffti_max_roll_std_100\"]) * (data[\"min_first_10000\"]))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i265\"] = 0.010000*np.tanh(((((((((((((((((((data[\"ffti_min_roll_std_1000\"]) * (data[\"mean_last_1000\"]))) * 2.0)) + (data[\"ffti_mean_first_50000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i266\"] = 0.010000*np.tanh(((((((data[\"fftr_num_peaks_10\"]) + (data[\"ffti_percentile_roll_mean_1\"]))) + (((((data[\"fftr_num_peaks_10\"]) + (((data[\"fftr_percentile_roll_mean_75\"]) + (data[\"percentile_roll_mean_80\"]))))) * 2.0)))) * 2.0)) \n        v[\"i267\"] = 0.010000*np.tanh(((data[\"percentile_roll_std_10\"]) - (((((((((data[\"classic_sta_lta1_mean\"]) + (((data[\"ffti_percentile_50\"]) * 2.0)))) * 2.0)) * 2.0)) + (((data[\"classic_sta_lta1_mean\"]) / 2.0)))))) \n        v[\"i268\"] = 0.010000*np.tanh(((((((data[\"classic_sta_lta4_mean\"]) + (data[\"fftr_percentile_roll_std_5\"]))) + (((((((((((data[\"fftr_percentile_roll_std_5\"]) - (data[\"mean_change_rate_first_1000\"]))) * 2.0)) * 2.0)) * (data[\"classic_sta_lta4_mean\"]))) * 2.0)))) * 2.0)) \n        v[\"i269\"] = 0.010000*np.tanh(((((((((((data[\"abs_percentile_25\"]) + (data[\"min_roll_std_500\"]))) + (data[\"ffti_av_change_abs_roll_std_10000\"]))) * 2.0)) * 2.0)) + (((data[\"fftr_max_last_10000\"]) * 2.0)))) \n        v[\"i270\"] = 0.010000*np.tanh(((((((data[\"classic_sta_lta2_mean\"]) - (((data[\"spkt_welch_density_100\"]) * 2.0)))) * 2.0)) + ((((data[\"percentile_roll_mean_5\"]) + ((-1.0*((data[\"ffti_max_last_1000\"])))))/2.0)))) \n        v[\"i271\"] = 0.010000*np.tanh(((data[\"classic_sta_lta4_mean\"]) * (((((((((data[\"ffti_exp_Moving_average_30000_std\"]) + (((data[\"fftr_percentile_roll_std_5\"]) * 2.0)))) + (data[\"fftr_percentile_roll_std_5\"]))) + (data[\"ffti_abs_max_roll_mean_500\"]))) * 2.0)))) \n        v[\"i272\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_min_last_1000\"]) * 2.0)) - (data[\"ffti_min_roll_std_500\"]))) * 2.0)) * 2.0)) * 2.0)) - (((((data[\"ffti_c3_500\"]) * 2.0)) - (data[\"ffti_min_roll_std_500\"]))))) * 2.0)) \n        v[\"i273\"] = 0.010000*np.tanh(((((((data[\"percentile_70\"]) + (data[\"fftr_time_rev_asym_stat_50\"]))) + (((((((data[\"fftr_time_rev_asym_stat_50\"]) * (data[\"autocorrelation_10\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i274\"] = 0.010000*np.tanh(((((((((((((((((data[\"fftr_percentile_roll_std_5\"]) - (((data[\"exp_Moving_average_30000_std\"]) + (data[\"mean_change_rate_first_1000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i275\"] = 0.010000*np.tanh(((((((data[\"ffti_min_roll_std_50\"]) * (data[\"min_roll_std_100\"]))) * 2.0)) + (((((((data[\"autocorrelation_10000\"]) * (data[\"ffti_max_to_min\"]))) + (((data[\"autocorrelation_10000\"]) * (data[\"ffti_max_to_min\"]))))) * 2.0)))) \n        v[\"i276\"] = 0.010000*np.tanh(((((((data[\"ffti_autocorrelation_100\"]) + ((((((((((((-1.0*((data[\"ffti_min_roll_std_50\"])))) * 2.0)) * 2.0)) * 2.0)) * (data[\"fftr_mean_last_1000\"]))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i277\"] = 0.010000*np.tanh(((((data[\"kurt\"]) * (data[\"abs_percentile_70\"]))) * 2.0)) \n        v[\"i278\"] = 0.010000*np.tanh(((((((((((data[\"percentile_40\"]) * ((((((((-1.0*((data[\"fftr_min_roll_std_500\"])))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i279\"] = 0.010000*np.tanh((((((((((((-1.0*((((data[\"fftr_time_rev_asym_stat_50\"]) * (((data[\"fftr_classic_sta_lta6_mean\"]) * 2.0))))))) * 2.0)) * 2.0)) + (data[\"std_last_1000\"]))) * 2.0)) * 2.0)) \n        v[\"i280\"] = 0.010000*np.tanh(((((((((((((((data[\"classic_sta_lta7_mean\"]) + (((data[\"fftr_percentile_roll_std_5\"]) + (data[\"range_-1000_0\"]))))) * 2.0)) * 2.0)) + (data[\"percentile_70\"]))) + (data[\"fftr_percentile_roll_std_5\"]))) * 2.0)) * 2.0)) \n        v[\"i281\"] = 0.010000*np.tanh(((((data[\"max_last_10000\"]) + (((((((((data[\"classic_sta_lta7_mean\"]) + (data[\"classic_sta_lta7_mean\"]))) * (data[\"ffti_autocorrelation_10\"]))) * 2.0)) * 2.0)))) + (data[\"classic_sta_lta7_mean\"]))) \n        v[\"i282\"] = 0.010000*np.tanh(((((((data[\"fftr_num_peaks_10\"]) * 2.0)) + (((((data[\"fftr_av_change_abs_roll_std_10000\"]) * (((data[\"fftr_av_change_abs_roll_std_10000\"]) + (((data[\"fftr_av_change_abs_roll_std_10000\"]) - (data[\"min_roll_std_500\"]))))))) * 2.0)))) * 2.0)) \n        v[\"i283\"] = 0.010000*np.tanh(((((((data[\"percentile_40\"]) - (data[\"mean_change_rate\"]))) + (((data[\"min_roll_std_10\"]) * (((data[\"ffti_av_change_abs_roll_mean_500\"]) + (((data[\"mean_change_rate\"]) + (((data[\"fftr_mean_last_50000\"]) * 2.0)))))))))) * 2.0)) \n        v[\"i284\"] = 0.010000*np.tanh(((data[\"ffti_autocorrelation_500\"]) - (((((data[\"ffti_autocorrelation_10000\"]) * (((data[\"ffti_autocorrelation_10000\"]) + (data[\"fftr_range_-3000_-2000\"]))))) * ((((14.82702636718750000)) - (data[\"fftr_exp_Moving_std_3000_std\"]))))))) \n        v[\"i285\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_mean_60\"]) * (((data[\"num_peaks_50\"]) * 2.0)))) + (((((data[\"ffti_av_change_abs_roll_mean_100\"]) * (((((((data[\"num_peaks_50\"]) - (data[\"ffti_av_change_abs_roll_std_10\"]))) * 2.0)) * 2.0)))) * 2.0)))) \n        v[\"i286\"] = 0.010000*np.tanh(((((((data[\"fftr_mean_first_50000\"]) * (((data[\"ffti_num_peaks_100\"]) - (((((data[\"fftr_std_roll_mean_500\"]) * 2.0)) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i287\"] = 0.010000*np.tanh(((data[\"fftr_percentile_roll_mean_75\"]) - (((((((((((((data[\"ffti_num_peaks_100\"]) * ((((-1.0*((data[\"fftr_percentile_roll_mean_70\"])))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i288\"] = 0.010000*np.tanh(((data[\"classic_sta_lta4_mean\"]) * (((((((((((((((data[\"abs_percentile_70\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i289\"] = 0.010000*np.tanh(((((data[\"kurt\"]) * (data[\"mean_first_50000\"]))) + (((((data[\"ffti_min_roll_std_1000\"]) * (((data[\"mean_first_1000\"]) * 2.0)))) * 2.0)))) \n        v[\"i290\"] = 0.010000*np.tanh(((((((data[\"fftr_range_-3000_-2000\"]) + (data[\"fftr_range_-3000_-2000\"]))) + (((data[\"ffti_kstat_1\"]) + (((data[\"ffti_min_roll_std_50\"]) * (data[\"ffti_max_to_min\"]))))))) * 2.0)) \n        v[\"i291\"] = 0.010000*np.tanh(((((data[\"autocorrelation_100\"]) * (((data[\"percentile_60\"]) + (((((((data[\"fftr_classic_sta_lta6_mean\"]) - (((data[\"ffti_av_change_abs_roll_std_10000\"]) * 2.0)))) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i292\"] = 0.010000*np.tanh(((((((data[\"ffti_max_roll_mean_10\"]) + (((((((data[\"ffti_min_roll_std_1000\"]) * (((data[\"Hann_window_mean_50\"]) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i293\"] = 0.010000*np.tanh((((-1.0*((((data[\"ffti_exp_Moving_average_3000_std\"]) * (data[\"autocorrelation_10000\"])))))) + (((((((data[\"ffti_autocorrelation_5000\"]) * (data[\"max_to_min\"]))) * 2.0)) * 2.0)))) \n        v[\"i294\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_std_1\"]) + (data[\"percentile_40\"]))) * 2.0)) * 2.0)) * 2.0)) + (((((((data[\"percentile_roll_std_1\"]) + (data[\"percentile_40\"]))) * 2.0)) * 2.0)))) \n        v[\"i295\"] = 0.010000*np.tanh(((((((((data[\"ffti_max_last_1000\"]) * 2.0)) * 2.0)) + (((data[\"av_change_abs_roll_std_1000\"]) + (data[\"ffti_hmean\"]))))) + (((((data[\"max_to_min\"]) + (((data[\"max_to_min\"]) * 2.0)))) * 2.0)))) \n        v[\"i296\"] = 0.010000*np.tanh(((((((((data[\"classic_sta_lta3_mean\"]) * (((((data[\"ffti_max_roll_mean_10000\"]) * 2.0)) * 2.0)))) * 2.0)) - (((data[\"kurt\"]) * 2.0)))) * 2.0)) \n        v[\"i297\"] = 0.010000*np.tanh((((((-1.0*((((((data[\"ffti_min_roll_std_10\"]) * (((data[\"med\"]) * 2.0)))) * 2.0))))) * 2.0)) * 2.0)) \n        v[\"i298\"] = 0.010000*np.tanh(((((((data[\"ffti_abs_percentile_10\"]) + (((((((((data[\"ffti_abs_percentile_10\"]) + (data[\"ffti_av_change_abs_roll_std_100\"]))) + (data[\"std_last_1000\"]))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i299\"] = 0.010000*np.tanh((((((((((((data[\"ffti_abs_percentile_10\"]) * 2.0)) * 2.0)) + (data[\"fftr_av_change_rate_roll_mean_10\"]))/2.0)) * 2.0)) + (((data[\"ffti_sum\"]) - ((((data[\"percentile_20\"]) + (data[\"percentile_20\"]))/2.0)))))) \n        v[\"i300\"] = 0.010000*np.tanh(((((((((data[\"num_peaks_10\"]) * 2.0)) * (data[\"fftr_min_roll_std_50\"]))) + (((((((data[\"fftr_med\"]) * ((-1.0*((data[\"max_to_min\"])))))) * 2.0)) + (data[\"classic_sta_lta7_mean\"]))))) * 2.0)) \n        v[\"i301\"] = 0.010000*np.tanh((((((-1.0*((((data[\"fftr_min_roll_std_500\"]) * (data[\"percentile_roll_mean_75\"])))))) - (data[\"fftr_min_first_10000\"]))) - (((data[\"ffti_autocorrelation_10000\"]) * ((-1.0*(((((10.0)) * (data[\"ffti_min_roll_std_50\"])))))))))) \n        v[\"i302\"] = 0.010000*np.tanh(((data[\"fftr_autocorrelation_50\"]) - (((((data[\"fftr_time_rev_asym_stat_5\"]) * (data[\"fftr_min_roll_std_10\"]))) - (((((((data[\"percentile_20\"]) + (data[\"fftr_min_roll_std_10\"]))) * 2.0)) * (data[\"autocorrelation_100\"]))))))) \n        v[\"i303\"] = 0.010000*np.tanh(((((data[\"fftr_time_rev_asym_stat_1\"]) * (data[\"percentile_70\"]))) + (((((((((data[\"autocorrelation_5000\"]) * (((data[\"fftr_time_rev_asym_stat_1\"]) * (data[\"classic_sta_lta4_mean\"]))))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i304\"] = 0.010000*np.tanh(((((((((((data[\"spkt_welch_density_100\"]) * 2.0)) * 2.0)) * 2.0)) * (data[\"ffti_autocorrelation_1000\"]))) - (data[\"spkt_welch_density_100\"]))) \n        v[\"i305\"] = 0.010000*np.tanh(((data[\"autocorrelation_10000\"]) * (((((((((((((((data[\"ffti_percentile_50\"]) - (data[\"ffti_exp_Moving_average_3000_std\"]))) * 2.0)) * 2.0)) - (data[\"ffti_av_change_abs_roll_std_10\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i306\"] = 0.010000*np.tanh(((((data[\"fftr_max_roll_mean_100\"]) + (((((((data[\"min_roll_std_100\"]) * (data[\"abs_percentile_70\"]))) + ((-1.0*((data[\"ffti_spkt_welch_density_10\"])))))) * 2.0)))) * 2.0)) \n        v[\"i307\"] = 0.010000*np.tanh(((((((data[\"ffti_autocorrelation_500\"]) + (((((data[\"mean_change_rate_last_1000\"]) * (((data[\"ffti_autocorrelation_10\"]) * 2.0)))) * 2.0)))) * 2.0)) - (((data[\"spkt_welch_density_100\"]) * 2.0)))) \n        v[\"i308\"] = 0.010000*np.tanh(((data[\"fftr_autocorrelation_10000\"]) * ((-1.0*((((data[\"classic_sta_lta4_mean\"]) + (((((((((data[\"fftr_min_last_1000\"]) + (data[\"autocorrelation_50\"]))) + (data[\"classic_sta_lta4_mean\"]))) * 2.0)) * 2.0))))))))) \n        v[\"i309\"] = 0.010000*np.tanh(((((((((data[\"min_last_1000\"]) * (data[\"ffti_mean_change_abs\"]))) + (data[\"ffti_abs_percentile_10\"]))) * 2.0)) * 2.0)) \n        v[\"i310\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_max_last_1000\"]) - (((data[\"ffti_std_roll_mean_10000\"]) * 2.0)))) + (data[\"classic_sta_lta2_mean\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i311\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_av_change_abs_roll_std_10000\"]) - (((data[\"ffti_autocorrelation_10000\"]) * 2.0)))) - (((data[\"mean_change_rate\"]) * 2.0)))) * 2.0)) * 2.0)) / 2.0)) * 2.0)) - (data[\"min_roll_std_10000\"]))) \n        v[\"i312\"] = 0.010000*np.tanh(((((((((((data[\"ffti_ave10\"]) * (((data[\"mean_change_rate_last_1000\"]) - (data[\"kurt\"]))))) * 2.0)) * 2.0)) + (data[\"percentile_90\"]))) * 2.0)) \n        v[\"i313\"] = 0.010000*np.tanh(((((data[\"percentile_20\"]) * (((((((data[\"fftr_time_rev_asym_stat_1\"]) - (data[\"fftr_abs_percentile_20\"]))) - (((data[\"fftr_mean_last_1000\"]) + (data[\"fftr_std_roll_mean_50\"]))))) * 2.0)))) * 2.0)) \n        v[\"i314\"] = 0.010000*np.tanh(((((((((data[\"percentile_80\"]) * (((data[\"autocorrelation_100\"]) * 2.0)))) * 2.0)) * 2.0)) + (((data[\"autocorrelation_100\"]) + (((((data[\"fftr_percentile_roll_mean_80\"]) * 2.0)) * 2.0)))))) \n        v[\"i315\"] = 0.010000*np.tanh((((((-1.0*((((data[\"ffti_percentile_50\"]) + (((data[\"ffti_min_roll_std_10\"]) * (((data[\"percentile_80\"]) + (((data[\"percentile_roll_mean_5\"]) + ((-1.0*((data[\"ffti_autocorrelation_100\"]))))))))))))))) * 2.0)) * 2.0)) \n        v[\"i316\"] = 0.010000*np.tanh((-1.0*((((data[\"fftr_min_roll_std_50\"]) * (((((((data[\"fftr_range_0_1000\"]) + (data[\"fftr_range_0_1000\"]))) + (((((data[\"fftr_percentile_40\"]) + (data[\"trend\"]))) * 2.0)))) * 2.0))))))) \n        v[\"i317\"] = 0.010000*np.tanh(((((data[\"ffti_range_2000_3000\"]) - (((((((data[\"fftr_exp_Moving_average_50000_mean\"]) - (((data[\"kurt\"]) - (data[\"min_roll_std_500\"]))))) * 2.0)) * 2.0)))) * (data[\"ffti_range_2000_3000\"]))) \n        v[\"i318\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_abs_percentile_10\"]) * 2.0)) * 2.0)) - (((((data[\"ffti_min_roll_std_500\"]) * 2.0)) * 2.0)))) * 2.0)) - (((data[\"fftr_percentile_roll_std_50\"]) * 2.0)))) * 2.0)) \n        v[\"i319\"] = 0.010000*np.tanh(((((data[\"max_last_10000\"]) + (((data[\"ffti_abs_percentile_10\"]) + (((data[\"percentile_70\"]) + (((data[\"percentile_70\"]) + (data[\"ffti_av_change_abs_roll_std_10000\"]))))))))) * 2.0)) \n        v[\"i320\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_percentile_roll_std_40\"]) * (data[\"ffti_exp_Moving_average_30000_std\"]))) * 2.0)) * 2.0)) + (data[\"ffti_exp_Moving_average_30000_std\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i321\"] = 0.010000*np.tanh(((((data[\"fftr_exp_Moving_average_3000_std\"]) - (((((((((data[\"fftr_exp_Moving_average_3000_std\"]) * 2.0)) * 2.0)) * (((((((((data[\"fftr_min_roll_std_500\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i322\"] = 0.010000*np.tanh((((((((((((((((data[\"ffti_exp_Moving_average_30000_std\"]) * (((data[\"ffti_ave10\"]) * 2.0)))) + (data[\"percentile_95\"]))/2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (((data[\"Hann_window_mean_50\"]) * 2.0)))) \n        v[\"i323\"] = 0.010000*np.tanh((((((8.0)) * (((data[\"fftr_autocorrelation_50\"]) - (data[\"ffti_range_-3000_-2000\"]))))) + (((data[\"percentile_70\"]) * ((((8.0)) * (data[\"autocorrelation_100\"]))))))) \n        v[\"i324\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_std_50\"]) + (((((data[\"ffti_percentile_roll_std_20\"]) * (((((data[\"min_roll_std_1000\"]) - (((data[\"ffti_min_roll_std_50\"]) * 2.0)))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i325\"] = 0.010000*np.tanh(((((((data[\"fftr_min_first_1000\"]) + (((((data[\"fftr_abs_percentile_5\"]) * (((((data[\"autocorrelation_5\"]) + (data[\"ffti_min_roll_std_50\"]))) * 2.0)))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i326\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_5\"]) - (((data[\"fftr_abs_percentile_25\"]) + (data[\"percentile_20\"]))))) + (((((((((data[\"ffti_abs_percentile_10\"]) * 2.0)) * 2.0)) - (data[\"fftr_percentile_roll_std_50\"]))) - (data[\"ffti_abs_percentile_25\"]))))) \n        v[\"i327\"] = 0.010000*np.tanh(((((data[\"fftr_time_rev_asym_stat_50\"]) * (((((((data[\"ffti_exp_Moving_average_30000_std\"]) - (data[\"fftr_min_roll_std_1000\"]))) - (((data[\"fftr_classic_sta_lta6_mean\"]) - (((data[\"percentile_roll_mean_80\"]) - (data[\"min_roll_std_10000\"]))))))) * 2.0)))) * 2.0)) \n        v[\"i328\"] = 0.010000*np.tanh(((((data[\"ffti_ave10\"]) - (((data[\"ffti_autocorrelation_10\"]) * (((((data[\"fftr_percentile_roll_std_20\"]) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i329\"] = 0.010000*np.tanh(((((((((((((((((((((((data[\"classic_sta_lta4_mean\"]) * (data[\"std_first_1000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i330\"] = 0.010000*np.tanh((((((((-1.0*((((data[\"mean_change_rate\"]) + (data[\"ffti_classic_sta_lta6_mean\"])))))) * 2.0)) * 2.0)) - (((((((data[\"ffti_exp_Moving_average_3000_std\"]) * 2.0)) * 2.0)) + (data[\"mean_change_rate\"]))))) \n        v[\"i331\"] = 0.010000*np.tanh(((((((((((data[\"fftr_range_-3000_-2000\"]) + (data[\"max_last_10000\"]))) + (((data[\"mean_first_50000\"]) + (((data[\"ffti_percentile_roll_std_30\"]) * 2.0)))))) * 2.0)) + (((data[\"ffti_percentile_roll_std_30\"]) * 2.0)))) * 2.0)) \n        v[\"i332\"] = 0.010000*np.tanh(((((data[\"min_roll_std_100\"]) * 2.0)) + (((((((data[\"min_roll_std_100\"]) * 2.0)) + (data[\"min_roll_std_50\"]))) + (((((((data[\"autocorrelation_5\"]) * (data[\"classic_sta_lta1_mean\"]))) * 2.0)) * 2.0)))))) \n        v[\"i333\"] = 0.010000*np.tanh((((((data[\"classic_sta_lta7_mean\"]) + (data[\"fftr_time_rev_asym_stat_5\"]))/2.0)) + (((((((((((data[\"fftr_mean_last_10000\"]) * (data[\"fftr_time_rev_asym_stat_100\"]))) * 2.0)) * 2.0)) * 2.0)) + (data[\"min_roll_std_10000\"]))))) \n        v[\"i334\"] = 0.010000*np.tanh(((data[\"fftr_num_peaks_10\"]) + (((((((data[\"classic_sta_lta7_mean\"]) + (((data[\"ffti_autocorrelation_10\"]) * (((data[\"fftr_percentile_roll_mean_80\"]) + (data[\"ffti_sum\"]))))))) + (data[\"percentile_roll_std_10\"]))) * 2.0)))) \n        v[\"i335\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_std_50\"]) + (((((((data[\"ffti_autocorrelation_10000\"]) * (data[\"ffti_min_roll_std_50\"]))) * 2.0)) + (((data[\"ffti_av_change_abs_roll_std_50\"]) + (((data[\"ffti_autocorrelation_10000\"]) * (data[\"ffti_min_roll_std_50\"]))))))))) * 2.0)) \n        v[\"i336\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_20\"]) + (((((((((((data[\"percentile_roll_std_20\"]) + (data[\"ffti_range_1000_2000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i337\"] = 0.010000*np.tanh(((((((((((data[\"fftr_percentile_roll_mean_80\"]) * 2.0)) / 2.0)) + (((((data[\"fftr_percentile_roll_mean_80\"]) + (data[\"ffti_mean\"]))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i338\"] = 0.010000*np.tanh(((((((data[\"percentile_40\"]) - (((((((data[\"num_peaks_50\"]) * ((-1.0*((((data[\"fftr_percentile_roll_mean_50\"]) + (data[\"fftr_percentile_roll_std_25\"])))))))) * 2.0)) * 2.0)))) + (data[\"num_peaks_50\"]))) * 2.0)) \n        v[\"i339\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_5\"]) * (data[\"abs_percentile_60\"]))) * 2.0)) + (((((((((data[\"abs_percentile_60\"]) - (data[\"ffti_abs_max_roll_mean_100\"]))) * (((data[\"fftr_num_peaks_20\"]) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i340\"] = 0.010000*np.tanh(((((data[\"fftr_mean_last_50000\"]) * (((((((((((data[\"ffti_Hann_window_mean_15000\"]) - (data[\"fftr_abs_percentile_1\"]))) - (data[\"ffti_autocorrelation_500\"]))) * 2.0)) * 2.0)) + (data[\"fftr_mean_last_50000\"]))))) * 2.0)) \n        v[\"i341\"] = 0.010000*np.tanh(((((((((((data[\"ffti_skew\"]) + (((data[\"ffti_min_roll_std_50\"]) + (data[\"ffti_min_roll_std_50\"]))))) * (((data[\"ffti_autocorrelation_10000\"]) + (data[\"fftr_percentile_roll_mean_60\"]))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i342\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_percentile_roll_mean_10\"]) + (data[\"ffti_max_roll_std_500\"]))) * 2.0)) * 2.0)) + (data[\"fftr_percentile_roll_mean_1\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i343\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_min_roll_std_100\"]) * (((data[\"ffti_percentile_roll_mean_80\"]) - (data[\"ffti_percentile_roll_std_5\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i344\"] = 0.010000*np.tanh(((((((((data[\"av_change_abs_roll_mean_10\"]) * (((((((data[\"fftr_av_change_abs_roll_std_10000\"]) + (((data[\"max_roll_std_10\"]) - (data[\"trend\"]))))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i345\"] = 0.010000*np.tanh(((((((((((((((data[\"percentile_90\"]) - (data[\"ffti_percentile_roll_mean_60\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i346\"] = 0.010000*np.tanh((((((((((((((data[\"ffti_av_change_abs_roll_std_10000\"]) + (data[\"max_last_10000\"]))) + (data[\"percentile_70\"]))) + (((data[\"fftr_std_roll_std_10\"]) + (data[\"max_last_50000\"]))))) + (data[\"percentile_70\"]))/2.0)) * 2.0)) * 2.0)) \n        v[\"i347\"] = 0.010000*np.tanh(((((((data[\"fftr_classic_sta_lta2_mean\"]) + (((((data[\"percentile_70\"]) * 2.0)) + (data[\"ffti_av_change_abs_roll_std_10000\"]))))) + (data[\"ffti_av_change_abs_roll_std_100\"]))) * 2.0)) \n        v[\"i348\"] = 0.010000*np.tanh(((((((data[\"fftr_std_roll_std_50\"]) + (((data[\"Hann_window_mean_1500\"]) * (data[\"exp_Moving_average_50000_std\"]))))) + (((((data[\"ffti_av_change_abs_roll_std_10000\"]) * (data[\"ffti_av_change_abs_roll_mean_10\"]))) * 2.0)))) * 2.0)) \n        v[\"i349\"] = 0.010000*np.tanh(((((((((data[\"autocorrelation_100\"]) * 2.0)) + ((((((-1.0*((data[\"percentile_80\"])))) + (data[\"autocorrelation_100\"]))) * 2.0)))) * (((data[\"percentile_80\"]) * 2.0)))) - (data[\"percentile_80\"]))) \n        v[\"i350\"] = 0.010000*np.tanh(((((((((((((((data[\"percentile_roll_std_30\"]) - (data[\"percentile_roll_std_70\"]))) * 2.0)) * 2.0)) * 2.0)) + ((-1.0*((data[\"percentile_roll_std_30\"])))))) * 2.0)) * 2.0)) \n        v[\"i351\"] = 0.010000*np.tanh(((data[\"fftr_av_change_abs_roll_mean_10\"]) * (((((((((((((((((((data[\"fftr_min_roll_std_500\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i352\"] = 0.010000*np.tanh(((((((((((((((((data[\"fftr_hmean\"]) * (data[\"ffti_mean\"]))) * 2.0)) + (data[\"mean_first_50000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i353\"] = 0.010000*np.tanh(((((((((((data[\"autocorrelation_10000\"]) + (data[\"min_roll_std_100\"]))) + (data[\"fftr_mean_last_10000\"]))) - (((data[\"autocorrelation_100\"]) * (((data[\"fftr_time_rev_asym_stat_10\"]) * 2.0)))))) / 2.0)) + (data[\"moment_3\"]))) \n        v[\"i354\"] = 0.010000*np.tanh(((data[\"percentile_40\"]) + (((data[\"min_first_1000\"]) + (((((data[\"fftr_percentile_roll_mean_80\"]) + (((((((data[\"min_roll_std_10000\"]) + (data[\"percentile_40\"]))) * 2.0)) * 2.0)))) * 2.0)))))) \n        v[\"i355\"] = 0.010000*np.tanh(((((((data[\"percentile_50\"]) * (data[\"fftr_num_peaks_20\"]))) * 2.0)) + (((((data[\"autocorrelation_5\"]) * (data[\"ffti_classic_sta_lta2_mean\"]))) * 2.0)))) \n        v[\"i356\"] = 0.010000*np.tanh(((data[\"exp_Moving_average_50000_std\"]) + (((data[\"exp_Moving_average_50000_std\"]) * (((((((((((((data[\"ffti_ave10\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i357\"] = 0.010000*np.tanh(((((((((((data[\"autocorrelation_100\"]) * (((((data[\"percentile_70\"]) * 2.0)) - (data[\"mean_change_rate\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i358\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_percentile_roll_mean_80\"]) * (((data[\"ffti_min_roll_std_100\"]) - (((data[\"fftr_exp_Moving_average_3000_mean\"]) * (data[\"fftr_min_roll_std_50\"]))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i359\"] = 0.010000*np.tanh(((data[\"fftr_classic_sta_lta2_mean\"]) * ((-1.0*((((((((data[\"percentile_20\"]) * 2.0)) * 2.0)) + (((((((((data[\"percentile_20\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0))))))))) \n        v[\"i360\"] = 0.010000*np.tanh(((((data[\"exp_Moving_average_30000_std\"]) * ((((-1.0*((data[\"autocorrelation_10000\"])))) + (data[\"ffti_ave10\"]))))) * 2.0)) \n        v[\"i361\"] = 0.010000*np.tanh(((((((data[\"mean_first_1000\"]) * (((((data[\"av_change_abs_roll_std_100\"]) + (((data[\"fftr_time_rev_asym_stat_1\"]) * 2.0)))) - (data[\"fftr_range_-3000_-2000\"]))))) * 2.0)) * 2.0)) \n        v[\"i362\"] = 0.010000*np.tanh(((((data[\"ffti_mean_change_rate_last_10000\"]) + (data[\"ffti_percentile_roll_std_40\"]))) * (((-2.0) * ((((((10.17423725128173828)) + ((10.17423725128173828)))) + (data[\"ffti_mean_change_rate_last_10000\"]))))))) \n        v[\"i363\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_-3000_-2000\"]) + (((((((((data[\"fftr_abs_percentile_30\"]) + (data[\"classic_sta_lta4_mean\"]))) * 2.0)) * (((data[\"fftr_min_roll_std_500\"]) * 2.0)))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i364\"] = 0.010000*np.tanh(((((((((data[\"ffti_mean_change_abs\"]) * (data[\"ffti_percentile_roll_mean_50\"]))) * 2.0)) + (((((data[\"fftr_mean_last_1000\"]) * (data[\"ffti_autocorrelation_10000\"]))) * 2.0)))) * 2.0)) \n        v[\"i365\"] = 0.010000*np.tanh(((((((((data[\"av_change_abs_roll_mean_100\"]) + (data[\"fftr_num_peaks_10\"]))) * 2.0)) * 2.0)) + (((((((((data[\"av_change_abs_roll_mean_100\"]) + (data[\"fftr_num_peaks_10\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i366\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_-3000_-2000\"]) + (((data[\"percentile_70\"]) + (((data[\"ffti_kstat_1\"]) + (data[\"fftr_range_-3000_-2000\"]))))))) * 2.0)) + (data[\"ffti_max_roll_mean_100\"]))) * 2.0)) \n        v[\"i367\"] = 0.010000*np.tanh((-1.0*((((((((data[\"fftr_min_roll_std_500\"]) * 2.0)) * 2.0)) * 2.0))))) \n        v[\"i368\"] = 0.010000*np.tanh(((((data[\"fftr_mean_last_1000\"]) + (((data[\"autocorrelation_100\"]) * 2.0)))) * 2.0)) \n        v[\"i369\"] = 0.010000*np.tanh(((((((((data[\"ffti_av_change_abs_roll_std_10\"]) + (((data[\"ffti_min_roll_std_50\"]) * (((data[\"ffti_min_roll_std_50\"]) + (((((data[\"ffti_autocorrelation_10000\"]) * 2.0)) + (data[\"fftr_percentile_roll_mean_80\"]))))))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i370\"] = 0.010000*np.tanh(((((data[\"fftr_time_rev_asym_stat_100\"]) + (((((data[\"kurt\"]) * (((((data[\"kurt\"]) + (data[\"fftr_percentile_roll_mean_99\"]))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i371\"] = 0.010000*np.tanh(((data[\"av_change_abs_roll_mean_50\"]) + (((((((data[\"fftr_time_rev_asym_stat_50\"]) * (((data[\"std_roll_mean_10000\"]) - (data[\"fftr_percentile_roll_std_1\"]))))) * 2.0)) * 2.0)))) \n        v[\"i372\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_10000\"]) - (((data[\"ffti_exp_Moving_average_50000_std\"]) - (data[\"fftr_min_roll_std_10\"]))))) * 2.0)) * ((((((data[\"ffti_exp_Moving_average_50000_std\"]) + (data[\"ffti_exp_Moving_average_50000_std\"]))/2.0)) - (((data[\"ffti_ave10\"]) * 2.0)))))) \n        v[\"i373\"] = 0.010000*np.tanh(((((((((data[\"ffti_mean_last_1000\"]) * 2.0)) * 2.0)) * (((((((data[\"ffti_percentile_roll_std_40\"]) * 2.0)) + (data[\"ffti_percentile_roll_std_40\"]))) * 2.0)))) + (data[\"ffti_mean_last_1000\"]))) \n        v[\"i374\"] = 0.010000*np.tanh(((((((((((data[\"ffti_autocorrelation_5000\"]) * (((((((((data[\"max_to_min\"]) + (((data[\"abs_max_roll_std_500\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i375\"] = 0.010000*np.tanh(((((data[\"fftr_time_rev_asym_stat_1\"]) * (((((((data[\"mean_first_1000\"]) * 2.0)) + (data[\"percentile_70\"]))) + (((data[\"percentile_70\"]) + (data[\"mean_first_1000\"]))))))) * 2.0)) \n        v[\"i376\"] = 0.010000*np.tanh(((((((((((data[\"ffti_av_change_abs_roll_std_1000\"]) * 2.0)) * 2.0)) - (data[\"fftr_percentile_roll_mean_70\"]))) + (data[\"autocorrelation_100\"]))) * (((((data[\"fftr_time_rev_asym_stat_1\"]) * 2.0)) * 2.0)))) \n        v[\"i377\"] = 0.010000*np.tanh(((((((((data[\"fftr_mean_last_10000\"]) - (((data[\"ffti_exp_Moving_average_50000_std\"]) * (((data[\"autocorrelation_10000\"]) * 2.0)))))) + (((data[\"ffti_exp_Moving_average_50000_std\"]) * (data[\"ffti_ave10\"]))))) * 2.0)) * 2.0)) \n        v[\"i378\"] = 0.010000*np.tanh(((((((((((((data[\"percentile_roll_mean_75\"]) - (data[\"ffti_percentile_50\"]))) * 2.0)) + (data[\"fftr_percentile_roll_mean_80\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i379\"] = 0.010000*np.tanh(((((((((((data[\"ffti_max_first_1000\"]) * (((data[\"ffti_av_change_abs_roll_std_10\"]) - (data[\"ffti_percentile_roll_mean_50\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i380\"] = 0.010000*np.tanh(((((data[\"fftr_hmean\"]) * ((-1.0*((((((data[\"fftr_exp_Moving_average_50000_mean\"]) * 2.0)) * 2.0))))))) - (((data[\"fftr_num_peaks_50\"]) * (((((data[\"abs_percentile_60\"]) * 2.0)) * 2.0)))))) \n        v[\"i381\"] = 0.010000*np.tanh((((((((((((-1.0*((data[\"fftr_skew\"])))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i382\"] = 0.010000*np.tanh(((data[\"percentile_roll_mean_60\"]) + (((data[\"av_change_rate_roll_mean_1000\"]) * ((((12.16886711120605469)) * ((((12.16886711120605469)) * (data[\"fftr_range_2000_3000\"]))))))))) \n        v[\"i383\"] = 0.010000*np.tanh(((((((data[\"ffti_hmean\"]) + (((data[\"ffti_abs_max_roll_mean_10\"]) + (((data[\"ffti_abs_max_roll_mean_10\"]) + (data[\"ffti_av_change_abs_roll_std_10000\"]))))))) * 2.0)) * 2.0)) \n        v[\"i384\"] = 0.010000*np.tanh(((data[\"percentile_20\"]) - (((data[\"fftr_range_-4000_-3000\"]) * (((((data[\"mean_change_rate\"]) * ((9.0)))) * 2.0)))))) \n        v[\"i385\"] = 0.010000*np.tanh(((((((((((((data[\"min_roll_std_1000\"]) - (data[\"percentile_roll_std_80\"]))) * 2.0)) * 2.0)) - (((((data[\"min_roll_std_1000\"]) - (data[\"percentile_roll_std_80\"]))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i386\"] = 0.010000*np.tanh((((((-1.0*((((((((((((data[\"ffti_spkt_welch_density_10\"]) - (((data[\"fftr_min_last_1000\"]) - (data[\"fftr_percentile_50\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0))))) * 2.0)) * 2.0)) \n        v[\"i387\"] = 0.010000*np.tanh(((((data[\"ffti_abs_percentile_5\"]) - (((((((((data[\"fftr_skew\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) - (data[\"fftr_skew\"]))) \n        v[\"i388\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_mean_80\"]) + (((((data[\"percentile_roll_mean_70\"]) * 2.0)) + (((data[\"min_first_10000\"]) + (((((data[\"fftr_percentile_roll_mean_80\"]) + (data[\"min_first_10000\"]))) * 2.0)))))))) * 2.0)) \n        v[\"i389\"] = 0.010000*np.tanh(((((data[\"mean_last_10000\"]) * (((data[\"av_change_abs_roll_mean_50\"]) - (data[\"fftr_range_2000_3000\"]))))) - (((((data[\"fftr_range_2000_3000\"]) * 2.0)) * (((data[\"fftr_std_roll_mean_100\"]) + (data[\"autocorrelation_1000\"]))))))) \n        v[\"i390\"] = 0.010000*np.tanh(((((((((data[\"fftr_min_last_1000\"]) - (data[\"fftr_time_rev_asym_stat_100\"]))) + (((data[\"fftr_min_last_1000\"]) + (((data[\"fftr_min_last_1000\"]) - (data[\"fftr_time_rev_asym_stat_100\"]))))))) - (((data[\"autocorrelation_10\"]) / 2.0)))) * 2.0)) \n        v[\"i391\"] = 0.010000*np.tanh(((((((data[\"fftr_std_roll_mean_10000\"]) * (((data[\"mean_change_rate_first_1000\"]) * 2.0)))) - (((((((data[\"fftr_std_roll_mean_10000\"]) * (data[\"fftr_ave_roll_mean_10000\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i392\"] = 0.010000*np.tanh(((((((data[\"fftr_time_rev_asym_stat_1\"]) + (data[\"range_-1000_0\"]))) * 2.0)) * ((((-1.0*((data[\"fftr_time_rev_asym_stat_10\"])))) + (data[\"ffti_min_roll_std_500\"]))))) \n        v[\"i393\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_5\"]) * (data[\"abs_percentile_60\"]))) + (data[\"ffti_abs_percentile_5\"]))) + (((data[\"ffti_Hann_window_mean_15000\"]) * (((data[\"min_roll_std_100\"]) - (((data[\"fftr_time_rev_asym_stat_5\"]) * 2.0)))))))) \n        v[\"i394\"] = 0.010000*np.tanh(((((data[\"abs_percentile_60\"]) * ((((((-1.0*((data[\"fftr_num_peaks_50\"])))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i395\"] = 0.010000*np.tanh(((data[\"fftr_hmean\"]) * (((data[\"ffti_percentile_roll_std_30\"]) - (((data[\"classic_sta_lta4_mean\"]) + (((((data[\"classic_sta_lta4_mean\"]) + (data[\"min_roll_std_100\"]))) + (data[\"fftr_kstat_1\"]))))))))) \n        v[\"i396\"] = 0.010000*np.tanh((((13.05328464508056641)) * ((((13.05328464508056641)) * (((((data[\"ffti_num_peaks_20\"]) * (data[\"classic_sta_lta7_mean\"]))) - (((3.0) * (((data[\"ffti_num_peaks_10\"]) * (data[\"classic_sta_lta7_mean\"]))))))))))) \n        v[\"i397\"] = 0.010000*np.tanh(((((((((((data[\"min_roll_std_10\"]) * (((data[\"fftr_num_peaks_10\"]) + (data[\"ffti_av_change_abs_roll_std_10\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i398\"] = 0.010000*np.tanh(((data[\"ffti_min_roll_mean_100\"]) * (((((((data[\"ffti_av_change_abs_roll_std_50\"]) + (((((data[\"fftr_percentile_roll_mean_95\"]) + (data[\"ffti_av_change_abs_roll_std_10000\"]))) * 2.0)))) + (((data[\"percentile_70\"]) * 2.0)))) * 2.0)))) \n        v[\"i399\"] = 0.010000*np.tanh(((data[\"ffti_mean_change_abs\"]) * (((((((data[\"mean_change_rate_last_10000\"]) + (data[\"ffti_av_change_abs_roll_std_100\"]))) - (((((data[\"fftr_abs_percentile_1\"]) * 2.0)) + ((((-1.0*((data[\"min_roll_std_1000\"])))) * 2.0)))))) * 2.0)))) \n        v[\"i400\"] = 0.010000*np.tanh(((((data[\"av_change_abs_roll_mean_50\"]) + (((data[\"fftr_num_peaks_100\"]) * (((data[\"ffti_max_roll_mean_1000\"]) + (((((data[\"ffti_mean_first_50000\"]) + (data[\"ffti_mean_change_rate\"]))) * 2.0)))))))) * 2.0)) \n        v[\"i401\"] = 0.010000*np.tanh(((data[\"fftr_time_rev_asym_stat_5\"]) * (((((data[\"num_peaks_100\"]) - (((data[\"fftr_time_rev_asym_stat_10\"]) * 2.0)))) + (((data[\"mean_first_50000\"]) - (((data[\"fftr_time_rev_asym_stat_5\"]) + (data[\"fftr_abs_percentile_5\"]))))))))) \n        v[\"i402\"] = 0.010000*np.tanh((((-1.0*((((data[\"ffti_min_roll_std_10\"]) * (((data[\"exp_Moving_average_30000_mean\"]) + (((data[\"ffti_min_roll_std_10\"]) + (((data[\"mean_last_50000\"]) + (((data[\"abs_percentile_60\"]) + (data[\"ffti_max_roll_mean_100\"])))))))))))))) * 2.0)) \n        v[\"i403\"] = 0.010000*np.tanh(((((((((data[\"kurt\"]) * (((data[\"fftr_classic_sta_lta6_mean\"]) + (((data[\"spkt_welch_density_50\"]) + (((data[\"fftr_max_roll_mean_10000\"]) + (data[\"ffti_classic_sta_lta5_mean\"]))))))))) + (data[\"min_roll_std_10000\"]))) * 2.0)) * 2.0)) \n        v[\"i404\"] = 0.010000*np.tanh(((((data[\"ffti_ave10\"]) * 2.0)) + (((((((data[\"av_change_abs_roll_std_1000\"]) + (((data[\"min_roll_std_10000\"]) + (((data[\"fftr_min_roll_mean_10\"]) * 2.0)))))) * 2.0)) * 2.0)))) \n        v[\"i405\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_-3000_-2000\"]) + ((-1.0*((((((data[\"fftr_time_rev_asym_stat_10\"]) + (data[\"fftr_time_rev_asym_stat_10\"]))) * (data[\"fftr_time_rev_asym_stat_5\"])))))))) + (data[\"std_last_10000\"]))) * 2.0)) * 2.0)) \n        v[\"i406\"] = 0.010000*np.tanh(((data[\"ffti_max_roll_mean_10\"]) + (((((data[\"med\"]) - (((((((data[\"mean_change_rate_first_1000\"]) * 2.0)) * (data[\"med\"]))) * (data[\"mean_change_rate_first_1000\"]))))) * 2.0)))) \n        v[\"i407\"] = 0.010000*np.tanh(((data[\"fftr_min_roll_std_500\"]) * (((((((data[\"ffti_min_roll_std_500\"]) * 2.0)) + (((((data[\"classic_sta_lta5_mean\"]) * 2.0)) * 2.0)))) + (data[\"ffti_min_roll_std_500\"]))))) \n        v[\"i408\"] = 0.010000*np.tanh(((((((data[\"fftr_mean_last_1000\"]) - (((data[\"fftr_autocorrelation_5000\"]) * (((((((data[\"fftr_mean_last_1000\"]) + (((((data[\"ffti_mean\"]) * 2.0)) * 2.0)))) * 2.0)) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i409\"] = 0.010000*np.tanh((((((data[\"ffti_percentile_roll_std_1\"]) + (((((data[\"ffti_Hann_window_mean_15000\"]) + (((data[\"fftr_percentile_roll_mean_80\"]) + (((((data[\"autocorrelation_5000\"]) - (data[\"ffti_min_roll_mean_10\"]))) * 2.0)))))) * 2.0)))/2.0)) * 2.0)) \n        v[\"i410\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_mean_75\"]) + (((((((((((((data[\"fftr_percentile_roll_mean_75\"]) * (((data[\"ffti_num_peaks_100\"]) - (data[\"abs_percentile_70\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i411\"] = 0.010000*np.tanh(((((((((((data[\"classic_sta_lta2_mean\"]) * (((((data[\"ffti_autocorrelation_5000\"]) + ((((data[\"fftr_classic_sta_lta6_mean\"]) + (data[\"fftr_av_change_abs_roll_std_10000\"]))/2.0)))) + (data[\"fftr_av_change_abs_roll_std_10000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i412\"] = 0.010000*np.tanh(((data[\"fftr_min_roll_std_500\"]) * (((((((((data[\"fftr_av_change_abs_roll_std_10000\"]) - (data[\"ffti_percentile_roll_mean_60\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i413\"] = 0.010000*np.tanh(((((data[\"min_first_1000\"]) + (((((data[\"abs_percentile_80\"]) + (((((data[\"ffti_min_first_1000\"]) * (data[\"autocorrelation_10000\"]))) + (data[\"ffti_abs_percentile_5\"]))))) * 2.0)))) * 2.0)) \n        v[\"i414\"] = 0.010000*np.tanh(((((data[\"ffti_num_peaks_100\"]) * (((((data[\"av_change_rate_roll_std_10\"]) + (((((data[\"fftr_percentile_50\"]) * 2.0)) * 2.0)))) + (((((data[\"ffti_num_peaks_100\"]) + (data[\"skew\"]))) * 2.0)))))) * 2.0)) \n        v[\"i415\"] = 0.010000*np.tanh(((((((((data[\"num_peaks_50\"]) * (((((((data[\"ffti_av_change_abs_roll_mean_500\"]) + (data[\"fftr_ave_roll_mean_500\"]))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) + (data[\"num_peaks_50\"]))) \n        v[\"i416\"] = 0.010000*np.tanh((((10.0)) * (((((((((data[\"mean_last_1000\"]) * ((((-1.0*((data[\"fftr_range_2000_3000\"])))) - (data[\"ffti_mean_last_10000\"]))))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i417\"] = 0.010000*np.tanh(((data[\"fftr_abs_max_roll_mean_10000\"]) + (((data[\"max_roll_std_100\"]) * (((((((((((data[\"classic_sta_lta3_mean\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (((data[\"classic_sta_lta3_mean\"]) * 2.0)))))))) \n        v[\"i418\"] = 0.010000*np.tanh(((((((((((((data[\"classic_sta_lta7_mean\"]) * (data[\"ffti_autocorrelation_10\"]))) * 2.0)) - (data[\"fftr_percentile_roll_std_40\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i419\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_100\"]) * (data[\"percentile_70\"]))) * 2.0)) + (((((((data[\"ffti_min_roll_std_50\"]) * (data[\"ffti_autocorrelation_10000\"]))) * 2.0)) + (((data[\"min_roll_std_1000\"]) * (data[\"ffti_autocorrelation_1000\"]))))))) \n        v[\"i420\"] = 0.010000*np.tanh(((data[\"ffti_num_peaks_100\"]) * (((((data[\"fftr_percentile_roll_mean_75\"]) + (((data[\"spkt_welch_density_100\"]) - ((-1.0*((((data[\"fftr_percentile_roll_mean_75\"]) + (((data[\"spkt_welch_density_100\"]) - (data[\"fftr_abs_max_roll_mean_10000\"])))))))))))) * 2.0)))) \n        v[\"i421\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_60\"]) + (((((((data[\"fftr_mean_first_10000\"]) - (((data[\"fftr_min_roll_std_100\"]) * (((data[\"ffti_mean_change_rate\"]) + (data[\"fftr_moment_3\"]))))))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i422\"] = 0.010000*np.tanh(((data[\"fftr_std_roll_mean_50\"]) + (((((((((data[\"ffti_percentile_roll_mean_50\"]) * (data[\"ffti_mean_change_abs\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i423\"] = 0.010000*np.tanh(((((((((((((((((data[\"av_change_abs_roll_std_10000\"]) * 2.0)) * 2.0)) + (data[\"percentile_roll_mean_70\"]))) + (data[\"ffti_mean_change_rate_first_1000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i424\"] = 0.010000*np.tanh(((((((data[\"abs_percentile_50\"]) * (((data[\"abs_percentile_50\"]) + (((data[\"fftr_time_rev_asym_stat_5\"]) + (((data[\"autocorrelation_5\"]) * 2.0)))))))) * 2.0)) - (data[\"ffti_min_roll_std_10\"]))) \n        v[\"i425\"] = 0.010000*np.tanh((((((((-1.0*((((((((data[\"std_last_1000\"]) + (data[\"ffti_max_last_1000\"]))) * 2.0)) * (((((data[\"ffti_max_last_1000\"]) * 2.0)) * 2.0))))))) + (data[\"fftr_num_peaks_10\"]))) * 2.0)) * 2.0)) \n        v[\"i426\"] = 0.010000*np.tanh(((((((((data[\"abs_percentile_50\"]) * (data[\"autocorrelation_5\"]))) + (((data[\"num_peaks_50\"]) * (data[\"autocorrelation_5\"]))))) * 2.0)) + (((((data[\"num_peaks_50\"]) * 2.0)) * (data[\"autocorrelation_5\"]))))) \n        v[\"i427\"] = 0.010000*np.tanh(((data[\"ffti_abs_max_roll_mean_10\"]) + (((((data[\"fftr_time_rev_asym_stat_50\"]) * (((((((((data[\"autocorrelation_10\"]) - (data[\"ffti_kstat_1\"]))) * 2.0)) * 2.0)) * 2.0)))) + (data[\"ffti_kstat_1\"]))))) \n        v[\"i428\"] = 0.010000*np.tanh(((((((((data[\"percentile_roll_mean_75\"]) + (data[\"ffti_max_last_1000\"]))) + (data[\"percentile_roll_mean_75\"]))) + (((((data[\"ffti_abs_percentile_10\"]) - (data[\"fftr_ave_roll_mean_100\"]))) + (data[\"percentile_roll_mean_75\"]))))) * 2.0)) \n        v[\"i429\"] = 0.010000*np.tanh(((((data[\"ffti_autocorrelation_50\"]) + (((data[\"fftr_time_rev_asym_stat_1\"]) * (((data[\"percentile_roll_mean_25\"]) + (((data[\"ffti_range_-3000_-2000\"]) + (data[\"fftr_abs_max_roll_mean_1000\"]))))))))) * 2.0)) \n        v[\"i430\"] = 0.010000*np.tanh((((-1.0*((((((((((data[\"percentile_90\"]) - (data[\"fftr_mean_first_10000\"]))) + (data[\"fftr_abs_percentile_10\"]))) * (data[\"ffti_min_roll_std_10\"]))) * 2.0))))) * 2.0)) \n        v[\"i431\"] = 0.010000*np.tanh(((((((((((data[\"ffti_abs_max_roll_mean_50\"]) * (((data[\"ffti_percentile_roll_mean_30\"]) * 2.0)))) * 2.0)) * 2.0)) - (data[\"fftr_min_roll_std_500\"]))) * 2.0)) \n        v[\"i432\"] = 0.010000*np.tanh(((((((((data[\"autocorrelation_100\"]) * (((((data[\"percentile_70\"]) - (data[\"fftr_range_-3000_-2000\"]))) * 2.0)))) * 2.0)) + (data[\"ffti_max_roll_mean_100\"]))) * 2.0)) \n        v[\"i433\"] = 0.010000*np.tanh(((data[\"fftr_time_rev_asym_stat_5\"]) + (((((((((((((((data[\"ffti_av_change_abs_roll_mean_10\"]) * (data[\"min_roll_std_1000\"]))) * 2.0)) - (data[\"ffti_spkt_welch_density_10\"]))) + (data[\"ffti_num_peaks_50\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i434\"] = 0.010000*np.tanh(((((data[\"percentile_40\"]) - (((((data[\"ffti_min_roll_std_10\"]) * (((((data[\"percentile_roll_mean_90\"]) * 2.0)) + (((((data[\"percentile_roll_mean_90\"]) * 2.0)) * 2.0)))))) * 2.0)))) * 2.0)) \n        v[\"i435\"] = 0.010000*np.tanh(((((((data[\"fftr_min_roll_std_10\"]) * ((((10.0)) - (data[\"ffti_min_roll_std_10\"]))))) * (data[\"ffti_min_roll_std_10\"]))) * 2.0)) \n        v[\"i436\"] = 0.010000*np.tanh(((data[\"ffti_percentile_25\"]) * (((((data[\"min_roll_std_500\"]) - (data[\"fftr_percentile_70\"]))) * ((((12.01259803771972656)) - (((((data[\"ffti_percentile_25\"]) - (((data[\"max\"]) * 2.0)))) * 2.0)))))))) \n        v[\"i437\"] = 0.010000*np.tanh((((-1.0*((((data[\"min_last_1000\"]) + (((((((((data[\"min_last_1000\"]) + (((((data[\"av_change_abs_roll_std_50\"]) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0))))))) * 2.0)) \n        v[\"i438\"] = 0.010000*np.tanh(((((((((data[\"autocorrelation_100\"]) + (((((((data[\"classic_sta_lta1_mean\"]) * 2.0)) + (data[\"autocorrelation_100\"]))) * 2.0)))) * (data[\"percentile_80\"]))) * 2.0)) * 2.0)) \n        v[\"i439\"] = 0.010000*np.tanh(((((((((((data[\"fftr_autocorrelation_100\"]) + (((((data[\"fftr_percentile_roll_std_5\"]) + (((data[\"autocorrelation_100\"]) + (data[\"fftr_autocorrelation_100\"]))))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i440\"] = 0.010000*np.tanh(((((((((data[\"percentile_70\"]) + (((data[\"ffti_max_roll_mean_10\"]) + (((data[\"percentile_70\"]) + (((data[\"fftr_range_-3000_-2000\"]) + (data[\"ffti_av_change_abs_roll_std_10000\"]))))))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i441\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_40\"]) * ((((((((((((((-1.0*((data[\"max_to_min\"])))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) + (data[\"fftr_percentile_40\"]))) * 2.0)) \n        v[\"i442\"] = 0.010000*np.tanh(((data[\"ffti_av_change_abs_roll_std_10\"]) - (((((((data[\"mean_first_1000\"]) * (((data[\"ffti_autocorrelation_500\"]) - (data[\"fftr_autocorrelation_10\"]))))) * 2.0)) * 2.0)))) \n        v[\"i443\"] = 0.010000*np.tanh(((data[\"ffti_min_roll_std_50\"]) * (((((((((data[\"ffti_min_roll_std_50\"]) - (data[\"ffti_min_roll_std_50\"]))) * 2.0)) - (((((data[\"ffti_autocorrelation_10\"]) + (data[\"ffti_percentile_roll_std_20\"]))) + (data[\"ffti_autocorrelation_10\"]))))) * 2.0)))) \n        v[\"i444\"] = 0.010000*np.tanh(((((data[\"fftr_autocorrelation_10000\"]) * 2.0)) * (((((((data[\"std_roll_mean_10000\"]) + (data[\"fftr_percentile_roll_std_60\"]))) * 2.0)) + (((((data[\"percentile_roll_mean_70\"]) - (data[\"mean_change_rate_first_1000\"]))) + (data[\"fftr_percentile_roll_std_60\"]))))))) \n        v[\"i445\"] = 0.010000*np.tanh((((((((((-1.0*((((data[\"fftr_hmean\"]) - (data[\"min_roll_std_1000\"])))))) * 2.0)) * (((((((data[\"av_change_abs_roll_std_10\"]) * 2.0)) + (data[\"fftr_range_-3000_-2000\"]))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i446\"] = 0.010000*np.tanh(((((((((((data[\"ffti_autocorrelation_5000\"]) * (((data[\"max_to_min\"]) * 2.0)))) - (data[\"ffti_mean_first_10000\"]))) + (((data[\"max_to_min\"]) * (data[\"ffti_autocorrelation_5000\"]))))) * 2.0)) - (data[\"ffti_autocorrelation_5\"]))) \n        v[\"i447\"] = 0.009996*np.tanh(((data[\"fftr_percentile_roll_std_20\"]) * (((((((((((((data[\"classic_sta_lta5_mean\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (((((data[\"fftr_autocorrelation_1000\"]) - (data[\"percentile_roll_mean_25\"]))) * 2.0)))))) \n        v[\"i448\"] = 0.010000*np.tanh(((((data[\"fftr_time_rev_asym_stat_10\"]) * (((((((data[\"percentile_30\"]) - (data[\"autocorrelation_5\"]))) - (data[\"autocorrelation_5\"]))) - (data[\"autocorrelation_5\"]))))) + (data[\"fftr_time_rev_asym_stat_10\"]))) \n        v[\"i449\"] = 0.010000*np.tanh(((((data[\"ffti_max_roll_std_100\"]) + (((((((data[\"ffti_min_roll_std_50\"]) * (data[\"max_to_min\"]))) * 2.0)) * 2.0)))) + (((data[\"ffti_min_roll_std_50\"]) * (data[\"max_to_min\"]))))) \n        v[\"i450\"] = 0.010000*np.tanh((((((((((((data[\"min_roll_std_50\"]) + (data[\"autocorrelation_5\"]))/2.0)) * 2.0)) * 2.0)) * (data[\"abs_percentile_50\"]))) * 2.0)) \n        v[\"i451\"] = 0.010000*np.tanh(((((((((((data[\"fftr_range_-3000_-2000\"]) * (((data[\"fftr_range_-3000_-2000\"]) * 2.0)))) + (data[\"ffti_av_change_abs_roll_std_100\"]))) + (((data[\"fftr_time_rev_asym_stat_10\"]) * (((data[\"ffti_mean_change_abs\"]) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i452\"] = 0.010000*np.tanh(((((((((data[\"percentile_40\"]) + (((data[\"percentile_roll_std_5\"]) + (((((((data[\"ffti_abs_max_roll_mean_100\"]) * (data[\"fftr_hmean\"]))) * 2.0)) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i453\"] = 0.010000*np.tanh(((((((((((((((data[\"min_roll_std_10000\"]) - (data[\"fftr_percentile_roll_std_50\"]))) - (data[\"fftr_percentile_roll_std_50\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i454\"] = 0.010000*np.tanh(((data[\"min_roll_std_10000\"]) + (((data[\"fftr_max_first_10000\"]) + (((((data[\"autocorrelation_10000\"]) + (((data[\"min_last_10000\"]) * (data[\"ffti_Hann_window_mean_15000\"]))))) * 2.0)))))) \n        v[\"i455\"] = 0.010000*np.tanh(((((((data[\"fftr_abs_percentile_1\"]) + (((((data[\"ffti_ave10\"]) * 2.0)) - (data[\"mean_change_rate\"]))))) + (data[\"max_to_min_diff\"]))) * 2.0)) \n        v[\"i456\"] = 0.010000*np.tanh(((((data[\"ffti_autocorrelation_10\"]) * (((data[\"mean_first_1000\"]) - (((((data[\"ffti_min_roll_std_50\"]) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i457\"] = 0.010000*np.tanh(((((data[\"ffti_exp_Moving_average_30000_std\"]) * (data[\"ffti_av_change_abs_roll_mean_100\"]))) + (((((((((data[\"ffti_exp_Moving_average_30000_std\"]) * (data[\"ffti_av_change_abs_roll_mean_100\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i458\"] = 0.010000*np.tanh(((((data[\"percentile_roll_mean_75\"]) - (((data[\"fftr_range_-3000_-2000\"]) * (((data[\"mean_last_1000\"]) * 2.0)))))) * 2.0)) \n        v[\"i459\"] = 0.010000*np.tanh(((((data[\"exp_Moving_average_3000_std\"]) + (((((((data[\"exp_Moving_average_3000_std\"]) * 2.0)) * 2.0)) * 2.0)))) * (((((data[\"fftr_time_rev_asym_stat_50\"]) + (data[\"classic_sta_lta4_mean\"]))) * 2.0)))) \n        v[\"i460\"] = 0.010000*np.tanh(((((data[\"classic_sta_lta4_mean\"]) * 2.0)) + (((((((data[\"classic_sta_lta4_mean\"]) * (((data[\"classic_sta_lta4_mean\"]) + (((((((data[\"ffti_av_change_abs_roll_mean_10000\"]) * 2.0)) * 2.0)) * 2.0)))))) * 2.0)) * 2.0)))) \n        v[\"i461\"] = 0.010000*np.tanh((((((-1.0*((((data[\"percentile_20\"]) - (((data[\"ffti_av_change_abs_roll_std_50\"]) * (((data[\"percentile_20\"]) - (((data[\"fftr_classic_sta_lta5_mean\"]) * 2.0))))))))))) * 2.0)) * 2.0)) \n        v[\"i462\"] = 0.010000*np.tanh(((((((data[\"fftr_abs_percentile_10\"]) + (((data[\"min_first_50000\"]) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i463\"] = 0.010000*np.tanh(((((data[\"fftr_mean_last_1000\"]) + (((((data[\"classic_sta_lta7_mean\"]) + (data[\"fftr_min_last_1000\"]))) + (((((((data[\"fftr_mean_last_1000\"]) * 2.0)) - (data[\"autocorrelation_500\"]))) * 2.0)))))) * 2.0)) \n        v[\"i464\"] = 0.010000*np.tanh(((((((((((data[\"min_roll_std_10\"]) - (((((data[\"fftr_exp_Moving_average_50000_mean\"]) - (data[\"mean_change_rate_last_1000\"]))) * 2.0)))) * 2.0)) * 2.0)) + (data[\"fftr_range_-3000_-2000\"]))) * 2.0)) \n        v[\"i465\"] = 0.010000*np.tanh(((((((((((data[\"ffti_percentile_roll_std_30\"]) * 2.0)) * 2.0)) * (data[\"fftr_abs_percentile_1\"]))) * 2.0)) + (data[\"fftr_autocorrelation_100\"]))) \n        v[\"i466\"] = 0.009996*np.tanh(((((data[\"ffti_hmean\"]) + (((data[\"min_roll_std_10000\"]) * (data[\"ffti_num_peaks_20\"]))))) + (data[\"fftr_range_-3000_-2000\"]))) \n        v[\"i467\"] = 0.010000*np.tanh(((((((((((data[\"min_roll_std_10\"]) / 2.0)) * 2.0)) + (((((((((data[\"mean_change_rate_last_1000\"]) * (data[\"ffti_autocorrelation_10\"]))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i468\"] = 0.010000*np.tanh(((((((((data[\"percentile_70\"]) * (data[\"autocorrelation_100\"]))) - (data[\"ffti_min_roll_std_10\"]))) * 2.0)) + ((((data[\"abs_percentile_60\"]) + (data[\"ffti_min_roll_std_10\"]))/2.0)))) \n        v[\"i469\"] = 0.010000*np.tanh(((((((((data[\"ffti_abs_max_roll_std_100\"]) - (data[\"ffti_percentile_roll_std_40\"]))) * 2.0)) + (((((data[\"av_change_abs_roll_mean_10000\"]) * (((((data[\"ffti_abs_max_roll_std_100\"]) - (data[\"ffti_percentile_roll_std_40\"]))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i470\"] = 0.010000*np.tanh(((((((data[\"min_first_10000\"]) + (((((((data[\"autocorrelation_10000\"]) * (data[\"ffti_min_first_1000\"]))) * 2.0)) + (((data[\"fftr_percentile_roll_mean_80\"]) + (((data[\"ffti_kstat_1\"]) * 2.0)))))))) * 2.0)) * 2.0)) \n        v[\"i471\"] = 0.010000*np.tanh(((((((((data[\"fftr_time_rev_asym_stat_1\"]) * (((((data[\"ffti_percentile_roll_std_40\"]) * 2.0)) - (data[\"min_roll_std_50\"]))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i472\"] = 0.010000*np.tanh(((((((((data[\"fftr_Hann_window_mean_1500\"]) * (((data[\"min_roll_std_100\"]) - (data[\"min_roll_std_50\"]))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i473\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_mean_80\"]) * 2.0)) * 2.0)) - ((-1.0*((((data[\"autocorrelation_50\"]) * 2.0))))))) \n        v[\"i474\"] = 0.010000*np.tanh((((((14.20382785797119141)) * (((data[\"percentile_90\"]) - (data[\"ffti_av_change_abs_roll_std_50\"]))))) - ((((data[\"ffti_av_change_abs_roll_std_50\"]) + (((data[\"ffti_av_change_abs_roll_std_50\"]) - (data[\"ffti_av_change_abs_roll_std_50\"]))))/2.0)))) \n        v[\"i475\"] = 0.010000*np.tanh(((((((data[\"ffti_autocorrelation_500\"]) + (((data[\"fftr_autocorrelation_5000\"]) + (data[\"fftr_abs_max_roll_mean_10000\"]))))) * 2.0)) * 2.0)) \n        v[\"i476\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_percentile_25\"]) * (((data[\"min_roll_std_500\"]) - (data[\"fftr_range_minf_m4000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (data[\"ffti_percentile_25\"]))) * 2.0)) \n        v[\"i477\"] = 0.009996*np.tanh(((((((((((data[\"ffti_av_change_abs_roll_std_10\"]) * (((data[\"min_roll_std_10\"]) + (data[\"min_roll_std_10\"]))))) * 2.0)) - (data[\"mean_change_rate\"]))) * 2.0)) - (((data[\"mean_first_1000\"]) * (data[\"fftr_Hann_window_mean_15000\"]))))) \n        v[\"i478\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_iqr\"]) + (((data[\"kurt\"]) - (((data[\"percentile_roll_mean_5\"]) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)) * (((data[\"ffti_iqr\"]) * 2.0)))) * 2.0)) \n        v[\"i479\"] = 0.010000*np.tanh((((-1.0*((data[\"fftr_abs_percentile_1\"])))) - (((((((((data[\"fftr_abs_percentile_1\"]) - ((-1.0*((data[\"mean_change_rate_last_10000\"])))))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i480\"] = 0.010000*np.tanh(((((data[\"min_roll_std_10\"]) * (((((((data[\"ffti_av_change_abs_roll_std_10\"]) + (((data[\"fftr_mean_first_50000\"]) + (data[\"ffti_av_change_abs_roll_mean_1000\"]))))) + (((data[\"fftr_mean_first_50000\"]) + (data[\"mean_change_rate_last_10000\"]))))) * 2.0)))) * 2.0)) \n        v[\"i481\"] = 0.010000*np.tanh(((data[\"ffti_ave10\"]) * (((data[\"fftr_min_first_1000\"]) + (((((((data[\"exp_Moving_average_50000_std\"]) + (data[\"exp_Moving_average_50000_std\"]))) - (data[\"spkt_welch_density_100\"]))) + (((data[\"fftr_min_first_1000\"]) - (data[\"exp_Moving_average_50000_std\"]))))))))) \n        v[\"i482\"] = 0.010000*np.tanh(((data[\"min_first_10000\"]) + (((((((((data[\"autocorrelation_10000\"]) * (((data[\"fftr_min_roll_std_100\"]) + (data[\"fftr_autocorrelation_10000\"]))))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i483\"] = 0.010000*np.tanh(((((((((((((((((((((data[\"exp_Moving_average_50000_std\"]) * 2.0)) * (data[\"ffti_ave10\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (data[\"ffti_ave10\"]))) * 2.0)) * 2.0)) \n        v[\"i484\"] = 0.009996*np.tanh(((((data[\"percentile_40\"]) + (((((((((data[\"ffti_num_peaks_100\"]) - (data[\"fftr_range_-3000_-2000\"]))) * (data[\"fftr_med\"]))) * 2.0)) * 2.0)))) + (data[\"fftr_max_roll_std_10\"]))) \n        v[\"i485\"] = 0.010000*np.tanh(((((((((((((((data[\"percentile_roll_std_5\"]) + (data[\"classic_sta_lta7_mean\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i486\"] = 0.010000*np.tanh(((((data[\"ffti_autocorrelation_10\"]) * (((((data[\"ffti_av_change_abs_roll_std_10\"]) - (((data[\"fftr_range_-3000_-2000\"]) + (data[\"ffti_hmean\"]))))) - (((data[\"fftr_percentile_roll_std_40\"]) * (data[\"ffti_autocorrelation_10\"]))))))) * ((10.31002140045166016)))) \n        v[\"i487\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_percentile_roll_std_5\"]) * 2.0)) * 2.0)) - (data[\"fftr_mean_last_50000\"]))) * 2.0)) * 2.0)) + (((((data[\"range_-1000_0\"]) * 2.0)) * 2.0)))) \n        v[\"i488\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_60\"]) - (((((data[\"fftr_min_roll_std_100\"]) + (((((((data[\"ffti_std_roll_mean_1000\"]) + (data[\"fftr_min_roll_std_100\"]))) + (((data[\"ffti_std_roll_mean_1000\"]) * 2.0)))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i489\"] = 0.010000*np.tanh(((((((((((((((((data[\"min_roll_std_100\"]) * (data[\"fftr_classic_sta_lta5_mean\"]))) - (data[\"ffti_percentile_80\"]))) - (((data[\"av_change_abs_roll_std_100\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i490\"] = 0.010000*np.tanh(((((data[\"fftr_min_last_1000\"]) - (data[\"fftr_percentile_roll_std_30\"]))) + (((data[\"ffti_max_roll_std_1000\"]) + (((((((((data[\"av_change_abs_roll_mean_100\"]) * (data[\"ffti_mean_change_abs\"]))) * 2.0)) + (data[\"ffti_mean_first_50000\"]))) * 2.0)))))) \n        v[\"i491\"] = 0.010000*np.tanh((((-1.0*((data[\"fftr_mean_last_50000\"])))) - (((((((((((((data[\"fftr_mean_last_50000\"]) * 2.0)) * 2.0)) * 2.0)) * (data[\"fftr_std_roll_mean_10000\"]))) * 2.0)) * 2.0)))) \n        v[\"i492\"] = 0.010000*np.tanh(((((((data[\"ffti_min_roll_std_50\"]) * (data[\"ffti_num_peaks_10\"]))) * 2.0)) + (((((data[\"fftr_num_peaks_10\"]) + (((((data[\"ffti_min_roll_std_50\"]) * (data[\"ffti_num_peaks_10\"]))) * 2.0)))) * 2.0)))) \n        v[\"i493\"] = 0.010000*np.tanh(((((((((((((((((((data[\"abs_percentile_50\"]) * (data[\"ffti_ave_roll_mean_1000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (data[\"autocorrelation_50\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i494\"] = 0.010000*np.tanh(((((((((((data[\"ffti_trend\"]) * (data[\"trend\"]))) * 2.0)) - (((data[\"ffti_percentile_50\"]) - (((data[\"av_change_abs_roll_std_1000\"]) + (data[\"av_change_abs_roll_std_1000\"]))))))) * 2.0)) * 2.0)) \n        v[\"i495\"] = 0.010000*np.tanh(((((((data[\"ffti_percentile_roll_std_25\"]) * (((((data[\"fftr_mean_change_abs\"]) - (((data[\"fftr_abs_max_roll_mean_500\"]) - (((((((data[\"fftr_mean_change_abs\"]) * 2.0)) * 2.0)) * 2.0)))))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i496\"] = 0.010000*np.tanh(((((data[\"ffti_skew\"]) - ((((8.85958862304687500)) * ((-1.0*((data[\"fftr_percentile_roll_mean_20\"])))))))) - (((data[\"ffti_skew\"]) * ((((8.85958862304687500)) * ((-1.0*((data[\"fftr_percentile_roll_mean_20\"])))))))))) \n        v[\"i497\"] = 0.010000*np.tanh(((((data[\"fftr_mean_first_1000\"]) * (((((data[\"ffti_ave_roll_mean_100\"]) + (((data[\"autocorrelation_5\"]) + (data[\"ffti_autocorrelation_100\"]))))) + (((data[\"fftr_std_roll_mean_10000\"]) + (((data[\"autocorrelation_5\"]) * 2.0)))))))) * 2.0)) \n        v[\"i498\"] = 0.010000*np.tanh(((((((((((data[\"classic_sta_lta4_mean\"]) * (((data[\"ffti_min_roll_std_10\"]) + (((data[\"fftr_time_rev_asym_stat_50\"]) + (data[\"abs_percentile_60\"]))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i499\"] = 0.010000*np.tanh(((((((((((((((((data[\"autocorrelation_1000\"]) * (((data[\"ffti_abs_percentile_10\"]) - ((-1.0*((data[\"min_roll_std_50\"])))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i500\"] = 0.010000*np.tanh(((((((((((((((((((data[\"fftr_time_rev_asym_stat_10\"]) * (data[\"percentile_70\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i501\"] = 0.010000*np.tanh(((((((((data[\"fftr_min_last_1000\"]) * 2.0)) * (((((((data[\"av_change_abs_roll_std_100\"]) - (data[\"fftr_autocorrelation_10000\"]))) * 2.0)) - (data[\"fftr_autocorrelation_10000\"]))))) * 2.0)) - (data[\"percentile_roll_std_70\"]))) \n        v[\"i502\"] = 0.010000*np.tanh(((((((((((data[\"fftr_mean_last_1000\"]) * 2.0)) * 2.0)) * 2.0)) + (data[\"percentile_roll_mean_70\"]))) * (data[\"fftr_time_rev_asym_stat_5\"]))) \n        v[\"i503\"] = 0.009996*np.tanh(((((((((((data[\"fftr_time_rev_asym_stat_50\"]) * 2.0)) + (data[\"fftr_time_rev_asym_stat_50\"]))) * (((((data[\"ave_roll_mean_1000\"]) - (data[\"ffti_percentile_roll_mean_30\"]))) * 2.0)))) * 2.0)) + (((data[\"percentile_roll_mean_75\"]) * 2.0)))) \n        v[\"i504\"] = 0.010000*np.tanh(((((data[\"ffti_num_peaks_100\"]) * (((data[\"fftr_min_roll_std_10\"]) * 2.0)))) + (((data[\"min_roll_std_10000\"]) + (((((data[\"ffti_num_peaks_100\"]) * (((data[\"fftr_min_roll_std_10\"]) * 2.0)))) - (data[\"mean_change_rate\"]))))))) \n        v[\"i505\"] = 0.010000*np.tanh(((((((((((((((((((((((data[\"fftr_autocorrelation_1000\"]) * (data[\"fftr_percentile_roll_std_25\"]))) * 2.0)) * 2.0)) * 2.0)) / 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i506\"] = 0.010000*np.tanh(((data[\"fftr_autocorrelation_10\"]) * (((((((((data[\"fftr_autocorrelation_10\"]) - (((((data[\"ffti_min_roll_std_50\"]) * 2.0)) * 2.0)))) * 2.0)) - (data[\"ffti_min_roll_std_50\"]))) * 2.0)))) \n        v[\"i507\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_5000\"]) * 2.0)) + (((((data[\"percentile_70\"]) + (((((data[\"ffti_range_2000_3000\"]) * (((((data[\"autocorrelation_5000\"]) * 2.0)) * 2.0)))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i508\"] = 0.010000*np.tanh(((data[\"percentile_70\"]) - (((((((((data[\"ffti_av_change_abs_roll_std_10000\"]) * (((data[\"ffti_av_change_abs_roll_std_100\"]) + (((data[\"kurt\"]) * (data[\"fftr_classic_sta_lta6_mean\"]))))))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i509\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_max_to_min_diff\"]) * (((data[\"ffti_min_roll_std_50\"]) - (data[\"fftr_autocorrelation_5000\"]))))) * 2.0)) * 2.0)) * 2.0)) / 2.0)) + (data[\"abs_percentile_25\"]))) * 2.0)) * 2.0)) \n        v[\"i510\"] = 0.010000*np.tanh(((((data[\"percentile_70\"]) + (((((((((data[\"ffti_mean_change_rate\"]) * 2.0)) - (((data[\"mean_change_rate_last_10000\"]) - (((data[\"ffti_mean_change_rate\"]) * 2.0)))))) - (data[\"mean_change_rate_last_10000\"]))) * 2.0)))) * 2.0)) \n        v[\"i511\"] = 0.010000*np.tanh(((((data[\"min_roll_std_10000\"]) + (((((((data[\"ffti_num_peaks_100\"]) * (data[\"fftr_percentile_50\"]))) * 2.0)) + (((data[\"fftr_autocorrelation_5000\"]) * (data[\"ffti_mean_change_abs\"]))))))) * 2.0)) \n        v[\"i512\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_roll_std_40\"]) * 2.0)) * (((((((((data[\"ffti_kurt\"]) * 2.0)) * 2.0)) * 2.0)) + (((((((data[\"ffti_av_change_abs_roll_mean_1000\"]) * 2.0)) * 2.0)) * 2.0))))))\n        return v[v.columns[:n]].sum(axis=1)\n    \n    def GP_class_1(self,data,n):\n        v = pd.DataFrame()\n        v[\"i0\"] = -0.939196 \n        v[\"i1\"] = 0.010000*np.tanh(((((((((((data[\"range_0_1000\"]) - (((data[\"num_peaks_10\"]) * 2.0)))) - (data[\"ffti_range_-4000_-3000\"]))) * 2.0)) - (data[\"num_peaks_10\"]))) + ((-1.0*((data[\"percentile_roll_std_25\"])))))) \n        v[\"i2\"] = 0.010000*np.tanh(((((((data[\"fftr_kurt\"]) - (data[\"percentile_roll_std_30\"]))) - (((((((((data[\"percentile_roll_std_25\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) - (((((data[\"percentile_roll_std_25\"]) * 2.0)) * 2.0)))) \n        v[\"i3\"] = 0.010000*np.tanh(((((((((((((data[\"range_0_1000\"]) - (data[\"percentile_roll_std_30\"]))) * 2.0)) + (data[\"fftr_percentile_25\"]))) * 2.0)) + (data[\"range_0_1000\"]))) * 2.0)) \n        v[\"i4\"] = 0.010000*np.tanh(((((((((((((((data[\"percentile_5\"]) - (data[\"num_peaks_10\"]))) - (data[\"percentile_roll_std_10\"]))) * 2.0)) * 2.0)) + (data[\"range_0_1000\"]))) * 2.0)) * 2.0)) \n        v[\"i5\"] = 0.010000*np.tanh(((((((((((data[\"mean_change_rate_last_50000\"]) + ((-1.0*((((data[\"ffti_range_3000_4000\"]) + (((data[\"percentile_roll_std_30\"]) * 2.0))))))))) * 2.0)) * 2.0)) + ((-1.0*((data[\"kstat_4\"])))))) * 2.0)) \n        v[\"i6\"] = 0.010000*np.tanh((((((((-1.0*((data[\"percentile_roll_std_10\"])))) * 2.0)) + (((((((data[\"range_0_1000\"]) - (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i7\"] = 0.010000*np.tanh(((((((((((((((data[\"range_0_1000\"]) - (data[\"abs_percentile_80\"]))) * 2.0)) - (((data[\"percentile_roll_std_20\"]) * 2.0)))) * 2.0)) * 2.0)) - (data[\"percentile_roll_std_25\"]))) * 2.0)) \n        v[\"i8\"] = 0.010000*np.tanh(((((((((data[\"range_0_1000\"]) + ((((((((((-1.0*((data[\"percentile_roll_std_20\"])))) * 2.0)) * 2.0)) + (data[\"range_0_1000\"]))) * 2.0)))) * 2.0)) + (data[\"fftr_range_0_1000\"]))) * 2.0)) \n        v[\"i9\"] = 0.010000*np.tanh(((((((data[\"range_0_1000\"]) + ((((-1.0*((data[\"percentile_95\"])))) + (((((data[\"range_0_1000\"]) - (data[\"ffti_range_-3000_-2000\"]))) - (data[\"percentile_roll_std_50\"]))))))) * 2.0)) * 2.0)) \n        v[\"i10\"] = 0.010000*np.tanh(((data[\"mean_change_rate\"]) - (((((((data[\"percentile_roll_std_25\"]) * 2.0)) + (((((((((((((data[\"percentile_roll_std_25\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)))) \n        v[\"i11\"] = 0.010000*np.tanh(((((data[\"mean_change_rate\"]) - (((((((data[\"percentile_roll_std_10\"]) + (((data[\"percentile_roll_std_30\"]) + (data[\"iqr\"]))))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i12\"] = 0.010000*np.tanh((((((((((((((((-1.0*((data[\"num_peaks_10\"])))) * 2.0)) * 2.0)) + (((((data[\"ffti_range_-1000_0\"]) - (data[\"percentile_roll_std_10\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i13\"] = 0.010000*np.tanh(((((((((((data[\"range_0_1000\"]) + (data[\"fftr_percentile_20\"]))) - (data[\"num_peaks_10\"]))) * 2.0)) - (((data[\"min_roll_std_10000\"]) * 2.0)))) * 2.0)) \n        v[\"i14\"] = 0.010000*np.tanh(((data[\"mean_change_rate\"]) - (((((((((((((data[\"percentile_roll_std_25\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i15\"] = 0.010000*np.tanh(((((data[\"range_0_1000\"]) + (((((((((data[\"range_0_1000\"]) - (data[\"percentile_roll_std_30\"]))) - (data[\"percentile_roll_std_30\"]))) * 2.0)) * 2.0)))) - (((((data[\"percentile_roll_std_10\"]) * 2.0)) * 2.0)))) \n        v[\"i16\"] = 0.010000*np.tanh(((((data[\"mean_change_rate\"]) - (((data[\"ffti_range_-3000_-2000\"]) * 2.0)))) - (((((((data[\"percentile_roll_std_20\"]) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i17\"] = 0.010000*np.tanh((((((((-1.0*((((data[\"num_peaks_10\"]) * 2.0))))) + (data[\"range_0_1000\"]))) * 2.0)) * 2.0)) \n        v[\"i18\"] = 0.010000*np.tanh(((((((((data[\"range_0_1000\"]) * 2.0)) - (((((data[\"percentile_roll_std_30\"]) + (data[\"iqr\"]))) * 2.0)))) + (((data[\"fftr_min_last_1000\"]) - (data[\"percentile_roll_std_5\"]))))) * 2.0)) \n        v[\"i19\"] = 0.010000*np.tanh((((((-1.0*((((data[\"percentile_roll_std_20\"]) + (((((data[\"percentile_roll_std_20\"]) * 2.0)) * 2.0))))))) - (data[\"fftr_ave_roll_std_10000\"]))) * 2.0)) \n        v[\"i20\"] = 0.010000*np.tanh((((((((((((((-1.0*((data[\"min_roll_std_10000\"])))) - (data[\"ffti_range_-4000_-3000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i21\"] = 0.010000*np.tanh(((((((((data[\"range_0_1000\"]) * 2.0)) * 2.0)) + (data[\"range_-1000_0\"]))) + ((((((-1.0*((data[\"iqr1\"])))) + (data[\"fftr_range_0_1000\"]))) * 2.0)))) \n        v[\"i22\"] = 0.010000*np.tanh((((((((((((-1.0*((data[\"percentile_roll_std_20\"])))) * 2.0)) * 2.0)) - (data[\"fftr_range_-4000_-3000\"]))) * 2.0)) * 2.0)) \n        v[\"i23\"] = 0.010000*np.tanh(((((((((data[\"range_0_1000\"]) - (((data[\"percentile_roll_std_25\"]) * 2.0)))) * 2.0)) + ((-1.0*((((data[\"percentile_roll_std_20\"]) * 2.0))))))) * 2.0)) \n        v[\"i24\"] = 0.010000*np.tanh(((((((((((((((data[\"mean_change_rate\"]) + (data[\"percentile_5\"]))) - (((data[\"iqr\"]) * 2.0)))) * 2.0)) * 2.0)) - (data[\"percentile_roll_std_20\"]))) * 2.0)) * 2.0)) \n        v[\"i25\"] = 0.010000*np.tanh(((data[\"range_0_1000\"]) - (((data[\"fftr_range_0_1000\"]) - (((((((((data[\"range_0_1000\"]) * 2.0)) - (data[\"ffti_range_-3000_-2000\"]))) * 2.0)) * 2.0)))))) \n        v[\"i26\"] = 0.010000*np.tanh((((((((((((((-1.0*((data[\"percentile_roll_std_20\"])))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (data[\"percentile_roll_std_20\"]))) \n        v[\"i27\"] = 0.010000*np.tanh(((((((((((((data[\"range_0_1000\"]) - (data[\"ffti_range_-3000_-2000\"]))) + (((((data[\"range_0_1000\"]) * 2.0)) + (data[\"range_0_1000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i28\"] = 0.010000*np.tanh(((((((((((((data[\"percentile_roll_std_20\"]) * 2.0)) * (-3.0))) * 2.0)) - (data[\"min_roll_std_100\"]))) * 2.0)) * 2.0)) \n        v[\"i29\"] = 0.010000*np.tanh(((((((((((data[\"mean_change_rate\"]) - (((data[\"percentile_roll_std_20\"]) + (data[\"fftr_range_-4000_-3000\"]))))) - (data[\"percentile_roll_std_20\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i30\"] = 0.010000*np.tanh(((((((((((((((data[\"percentile_5\"]) * 2.0)) + (data[\"fftr_range_-1000_0\"]))) - (data[\"min_roll_std_100\"]))) - (data[\"percentile_roll_std_1\"]))) - (data[\"min_roll_std_10000\"]))) * 2.0)) - (data[\"percentile_roll_std_1\"]))) \n        v[\"i31\"] = 0.010000*np.tanh(((((((((((((((((((data[\"range_0_1000\"]) - (data[\"min_roll_std_10000\"]))) * 2.0)) * 2.0)) - (data[\"ffti_range_-3000_-2000\"]))) * 2.0)) - (data[\"range_0_1000\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i32\"] = 0.010000*np.tanh(((((((data[\"mean_change_rate\"]) * 2.0)) - (((data[\"percentile_roll_std_25\"]) * 2.0)))) - (((data[\"min_roll_std_100\"]) * 2.0)))) \n        v[\"i33\"] = 0.010000*np.tanh((((-1.0*((data[\"percentile_roll_std_10\"])))) - (((((((((((((data[\"min_roll_std_1000\"]) + (data[\"percentile_roll_std_1\"]))) * 2.0)) + (data[\"min_roll_std_100\"]))) * 2.0)) * 2.0)) + (data[\"ave_roll_std_500\"]))))) \n        v[\"i34\"] = 0.010000*np.tanh((((((((-1.0*((data[\"percentile_roll_std_25\"])))) + (((((((data[\"range_0_1000\"]) + (((data[\"ffti_percentile_40\"]) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) + (data[\"ffti_range_-1000_0\"]))) \n        v[\"i35\"] = 0.010000*np.tanh(((data[\"range_0_1000\"]) + (((((((((((data[\"range_0_1000\"]) - (data[\"abs_percentile_80\"]))) * 2.0)) - (data[\"percentile_roll_std_10\"]))) * 2.0)) * 2.0)))) \n        v[\"i36\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_percentile_25\"]) + (data[\"range_0_1000\"]))) * 2.0)) + (((data[\"ffti_percentile_40\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i37\"] = 0.010000*np.tanh((((-1.0*(((-1.0*(((-1.0*((((((data[\"num_peaks_10\"]) + (((data[\"min_roll_std_10000\"]) * 2.0)))) - ((((-1.0*((data[\"min_roll_std_100\"])))) * 2.0))))))))))))) * 2.0)) \n        v[\"i38\"] = 0.010000*np.tanh(((data[\"fftr_percentile_25\"]) + (((((data[\"fftr_abs_percentile_70\"]) + (((((((data[\"percentile_5\"]) - (data[\"ffti_range_2000_3000\"]))) * 2.0)) * 2.0)))) - (((data[\"percentile_roll_std_25\"]) * 2.0)))))) \n        v[\"i39\"] = 0.010000*np.tanh(((data[\"percentile_roll_std_20\"]) - (((((((((data[\"abs_percentile_5\"]) - (((data[\"mean_change_rate\"]) - (data[\"ffti_abs_max_roll_std_100\"]))))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i40\"] = 0.010000*np.tanh(((((((((((((((data[\"range_0_1000\"]) - (((data[\"percentile_roll_std_25\"]) * 2.0)))) * 2.0)) - (data[\"percentile_roll_std_25\"]))) * 2.0)) - (((data[\"min_roll_std_100\"]) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i41\"] = 0.010000*np.tanh(((((((((((((data[\"range_0_1000\"]) + (((((data[\"range_0_1000\"]) - (data[\"iqr\"]))) * 2.0)))) + (data[\"fftr_percentile_25\"]))) * 2.0)) * 2.0)) - (data[\"range_-1000_0\"]))) * 2.0)) \n        v[\"i42\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_25\"]) + (((((((((((data[\"fftr_percentile_25\"]) * 2.0)) - (data[\"ffti_range_2000_3000\"]))) - (data[\"min_roll_std_500\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i43\"] = 0.010000*np.tanh(((((((((((((((data[\"mean_change_rate\"]) + (((data[\"ffti_range_0_1000\"]) * 2.0)))) * 2.0)) + (((data[\"ffti_range_0_1000\"]) + (data[\"mean_change_rate\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i44\"] = 0.010000*np.tanh(((data[\"range_0_1000\"]) + (((((((data[\"range_0_1000\"]) + ((((((-1.0*((data[\"min_roll_std_10000\"])))) * 2.0)) * 2.0)))) + ((-1.0*((data[\"abs_percentile_80\"])))))) * 2.0)))) \n        v[\"i45\"] = 0.010000*np.tanh(((((((((data[\"ffti_min_roll_std_1000\"]) - (data[\"percentile_90\"]))) - (((data[\"min_roll_std_10000\"]) * 2.0)))) * 2.0)) + (data[\"percentile_5\"]))) \n        v[\"i46\"] = 0.010000*np.tanh(((((((data[\"ffti_max_to_min\"]) - (((((data[\"percentile_roll_std_20\"]) * 2.0)) * 2.0)))) + (data[\"ffti_max_to_min\"]))) - (((((data[\"percentile_roll_std_20\"]) * 2.0)) * 2.0)))) \n        v[\"i47\"] = 0.010000*np.tanh(((data[\"abs_percentile_50\"]) * (((((((((((data[\"ffti_percentile_40\"]) + (data[\"range_0_1000\"]))) * 2.0)) * 2.0)) + (((data[\"mean_change_rate_first_50000\"]) + (data[\"range_0_1000\"]))))) * 2.0)))) \n        v[\"i48\"] = 0.010000*np.tanh(((((data[\"range_0_1000\"]) - (data[\"percentile_95\"]))) - (((((((((((((((data[\"percentile_95\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i49\"] = 0.010000*np.tanh(((data[\"mean_change_rate_first_10000\"]) - (((((((((data[\"min_roll_std_50\"]) + (data[\"percentile_roll_std_20\"]))) * 2.0)) + ((-1.0*((((data[\"ffti_percentile_roll_std_5\"]) * 2.0))))))) * 2.0)))) \n        v[\"i50\"] = 0.010000*np.tanh((((-1.0*((((((((((data[\"percentile_roll_std_25\"]) - (data[\"mean_change_rate_first_50000\"]))) * 2.0)) * 2.0)) * 2.0))))) - ((((((data[\"percentile_roll_std_20\"]) * 2.0)) + ((-1.0*((data[\"percentile_roll_std_25\"])))))/2.0)))) \n        v[\"i51\"] = 0.010000*np.tanh(((data[\"range_0_1000\"]) + (((((((((data[\"exp_Moving_average_30000_mean\"]) * ((((data[\"mean_change_rate_first_10000\"]) + (data[\"range_0_1000\"]))/2.0)))) * 2.0)) - (data[\"percentile_80\"]))) * 2.0)))) \n        v[\"i52\"] = 0.010000*np.tanh(((((((data[\"ffti_max_to_min\"]) - (data[\"min_roll_std_10000\"]))) + (((((data[\"mean_change_rate_first_10000\"]) - (((data[\"min_roll_std_100\"]) + (data[\"ffti_range_2000_3000\"]))))) * 2.0)))) - (data[\"ffti_abs_percentile_1\"]))) \n        v[\"i53\"] = 0.010000*np.tanh((((((((((((((((((((((-1.0*((data[\"percentile_90\"])))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i54\"] = 0.010000*np.tanh(((((((((((((data[\"percentile_roll_mean_90\"]) * (data[\"percentile_20\"]))) * 2.0)) * 2.0)) - (((data[\"fftr_range_2000_3000\"]) * 2.0)))) * 2.0)) - (data[\"num_peaks_10\"]))) \n        v[\"i55\"] = 0.010000*np.tanh(((data[\"mean_change_rate_last_50000\"]) + (((data[\"abs_percentile_50\"]) * (((((((((((data[\"mean_change_rate_last_50000\"]) + (data[\"mean_change_rate_first_50000\"]))) * 2.0)) * 2.0)) + (((data[\"ffti_percentile_20\"]) * 2.0)))) * 2.0)))))) \n        v[\"i56\"] = 0.010000*np.tanh((((((10.0)) * ((((((data[\"fftr_mean_change_rate_last_10000\"]) + ((((((10.0)) * (data[\"mean_change_rate\"]))) * 2.0)))/2.0)) - (data[\"percentile_roll_std_10\"]))))) * (data[\"hmean\"]))) \n        v[\"i57\"] = 0.010000*np.tanh(((((((((((data[\"mean_change_rate_first_10000\"]) * 2.0)) - (((data[\"abs_percentile_5\"]) * 2.0)))) * 2.0)) - (data[\"min_roll_std_100\"]))) - (data[\"abs_percentile_5\"]))) \n        v[\"i58\"] = 0.010000*np.tanh(((((((data[\"percentile_5\"]) + (((((((((((data[\"mean_change_rate_last_10000\"]) * (data[\"percentile_75\"]))) * 2.0)) + ((-1.0*((data[\"percentile_90\"])))))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i59\"] = 0.010000*np.tanh((((-1.0*((((data[\"abs_max\"]) + (((data[\"min_roll_std_10000\"]) - ((-1.0*(((-1.0*((data[\"ffti_max_to_min\"])))))))))))))) - (((data[\"abs_percentile_70\"]) * 2.0)))) \n        v[\"i60\"] = 0.010000*np.tanh(((((data[\"autocorrelation_50\"]) - (((data[\"min_roll_std_100\"]) + (((((data[\"percentile_90\"]) * 2.0)) * 2.0)))))) - (((((data[\"percentile_90\"]) * 2.0)) * 2.0)))) \n        v[\"i61\"] = 0.010000*np.tanh(((((((((((((data[\"exp_Moving_average_50000_mean\"]) * (((data[\"mean_change_rate\"]) + (data[\"mean_change_rate_last_10000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i62\"] = 0.010000*np.tanh(((((data[\"mean_change_rate_first_50000\"]) + (((((((((data[\"mean_change_rate_first_50000\"]) + (data[\"range_0_1000\"]))) * 2.0)) * 2.0)) * 2.0)))) * (data[\"percentile_roll_mean_20\"]))) \n        v[\"i63\"] = 0.010000*np.tanh((((((-1.0*((((((((((data[\"percentile_90\"]) * 2.0)) * 2.0)) * 2.0)) + (data[\"percentile_90\"])))))) * 2.0)) * 2.0)) \n        v[\"i64\"] = 0.010000*np.tanh(((((((((((((data[\"percentile_20\"]) * 2.0)) * (data[\"percentile_roll_mean_80\"]))) * 2.0)) * 2.0)) * 2.0)) - ((-1.0*((data[\"percentile_90\"])))))) \n        v[\"i65\"] = 0.010000*np.tanh(((((data[\"mean_change_rate\"]) + (((((((((((data[\"abs_percentile_25\"]) * (((((data[\"mean_change_rate\"]) - (data[\"min_roll_std_100\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i66\"] = 0.010000*np.tanh(((((((data[\"ffti_percentile_roll_mean_95\"]) - (data[\"min_roll_std_100\"]))) - (((data[\"min_roll_std_100\"]) + (data[\"max_to_min\"]))))) - (((((data[\"max_to_min\"]) + (data[\"min_roll_std_100\"]))) + (data[\"percentile_70\"]))))) \n        v[\"i67\"] = 0.010000*np.tanh(((((((((((data[\"hmean\"]) * 2.0)) * 2.0)) + (data[\"exp_Moving_average_30000_mean\"]))) * (((data[\"percentile_20\"]) + (data[\"percentile_20\"]))))) - (((data[\"hmean\"]) + (data[\"max_last_50000\"]))))) \n        v[\"i68\"] = 0.010000*np.tanh(((((((data[\"ffti_max_to_min\"]) + ((-1.0*((data[\"ffti_range_2000_3000\"])))))) - (data[\"min_roll_std_10000\"]))) + (((((data[\"ffti_max_to_min\"]) + (data[\"fftr_min_first_50000\"]))) + (data[\"fftr_min_roll_std_10\"]))))) \n        v[\"i69\"] = 0.010000*np.tanh(((((((((data[\"ffti_max_to_min\"]) - (data[\"percentile_80\"]))) + (data[\"ffti_max_to_min\"]))) * 2.0)) - (data[\"percentile_80\"]))) \n        v[\"i70\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_std_5\"]) + (((data[\"percentile_20\"]) + (((data[\"percentile_20\"]) * 2.0)))))) * (((data[\"ffti_percentile_80\"]) + (((data[\"percentile_roll_mean_70\"]) * 2.0)))))) * 2.0)) \n        v[\"i71\"] = 0.010000*np.tanh(((((((((((((data[\"percentile_20\"]) * 2.0)) + (((data[\"percentile_20\"]) + (data[\"fftr_moment_1\"]))))) * (data[\"fftr_abs_max_roll_std_10\"]))) * 2.0)) + (data[\"fftr_num_peaks_100\"]))) * 2.0)) \n        v[\"i72\"] = 0.010000*np.tanh(((((((((((((((((data[\"fftr_exp_Moving_average_50000_std\"]) * 2.0)) * (data[\"range_0_1000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (data[\"range_0_1000\"]))) \n        v[\"i73\"] = 0.010000*np.tanh(((((data[\"fftr_min_roll_std_50\"]) + (((((((((data[\"fftr_min_roll_std_50\"]) + (((data[\"ffti_range_-4000_-3000\"]) * (data[\"percentile_20\"]))))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i74\"] = 0.010000*np.tanh(((((((((data[\"fftr_av_change_abs_roll_mean_10\"]) + ((((((-1.0*((data[\"range_-1000_0\"])))) + ((-1.0*((data[\"autocorrelation_10\"])))))) * 2.0)))) * 2.0)) + (data[\"ffti_percentile_roll_mean_99\"]))) * 2.0)) \n        v[\"i75\"] = 0.010000*np.tanh(((data[\"ffti_percentile_roll_std_1\"]) + (((((((((data[\"ffti_percentile_roll_std_1\"]) - (data[\"percentile_20\"]))) - (data[\"percentile_20\"]))) * (((data[\"fftr_av_change_abs_roll_mean_50\"]) * 2.0)))) * 2.0)))) \n        v[\"i76\"] = 0.010000*np.tanh(((((data[\"fftr_min_roll_std_500\"]) + (((((data[\"fftr_min_roll_std_100\"]) + (((data[\"ffti_min_roll_std_10000\"]) - (((data[\"max_to_min\"]) + (data[\"ffti_iqr\"]))))))) * 2.0)))) + (data[\"ffti_min_roll_std_10000\"]))) \n        v[\"i77\"] = 0.010000*np.tanh(((((((((((data[\"ffti_abs_percentile_40\"]) * (((data[\"ffti_mean_change_rate\"]) - (data[\"percentile_75\"]))))) + (((data[\"ffti_percentile_roll_std_1\"]) * 2.0)))) * 2.0)) * 2.0)) - (((data[\"ffti_mean_change_rate\"]) * 2.0)))) \n        v[\"i78\"] = 0.010000*np.tanh(((((((data[\"percentile_20\"]) * (data[\"Hann_window_mean_1500\"]))) + (((data[\"abs_percentile_50\"]) * ((((((data[\"fftr_percentile_roll_std_25\"]) + (((data[\"mean_change_rate\"]) * 2.0)))/2.0)) * 2.0)))))) * 2.0)) \n        v[\"i79\"] = 0.010000*np.tanh(((((((((((((data[\"kstat_1\"]) * (((data[\"percentile_20\"]) * 2.0)))) + (data[\"autocorrelation_5\"]))) + (data[\"fftr_min_roll_std_100\"]))) - (data[\"percentile_70\"]))) * 2.0)) * 2.0)) \n        v[\"i80\"] = 0.010000*np.tanh(((((((((data[\"ffti_trend\"]) + (((data[\"fftr_min_roll_std_50\"]) + (((data[\"fftr_av_change_abs_roll_std_10\"]) + (data[\"fftr_num_peaks_100\"]))))))) - (data[\"percentile_90\"]))) * 2.0)) * 2.0)) \n        v[\"i81\"] = 0.010000*np.tanh(((((((((((((((((data[\"percentile_20\"]) * ((((data[\"abs_percentile_70\"]) + (data[\"percentile_roll_mean_25\"]))/2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i82\"] = 0.010000*np.tanh(((((((((((data[\"percentile_75\"]) * (((data[\"ffti_max_to_min\"]) + (data[\"mean_change_rate_last_10000\"]))))) - (data[\"max_to_min\"]))) * 2.0)) * 2.0)) + (data[\"classic_sta_lta3_mean\"]))) \n        v[\"i83\"] = 0.010000*np.tanh(((((((data[\"classic_sta_lta6_mean\"]) + ((((((data[\"autocorrelation_50\"]) + (data[\"ffti_percentile_roll_mean_99\"]))/2.0)) + (data[\"autocorrelation_50\"]))))) + (data[\"fftr_min_roll_std_10\"]))) * 2.0)) \n        v[\"i84\"] = 0.010000*np.tanh(((((data[\"fftr_min_roll_std_50\"]) * 2.0)) - ((-1.0*((((((((((data[\"fftr_min_roll_std_500\"]) + (data[\"ffti_max_to_min\"]))) + (data[\"fftr_min_roll_std_10\"]))) * 2.0)) * 2.0))))))) \n        v[\"i85\"] = 0.010000*np.tanh(((((((((((data[\"autocorrelation_5\"]) - (data[\"ffti_percentile_90\"]))) + (data[\"ffti_std_roll_mean_500\"]))) * 2.0)) + (((data[\"ffti_max_to_min\"]) - (data[\"percentile_70\"]))))) * 2.0)) \n        v[\"i86\"] = 0.010000*np.tanh(((((((data[\"classic_sta_lta3_mean\"]) + (((((data[\"fftr_min_roll_std_50\"]) + (((data[\"ffti_percentile_roll_mean_95\"]) * 2.0)))) + (((data[\"fftr_min_roll_std_500\"]) + (data[\"ffti_max_to_min\"]))))))) * 2.0)) * 2.0)) \n        v[\"i87\"] = 0.010000*np.tanh(((((data[\"Hann_window_mean_50\"]) - (data[\"fftr_mean_change_abs\"]))) * (((((((data[\"mean_change_rate_first_50000\"]) * 2.0)) * 2.0)) - ((-1.0*((((data[\"mean_change_rate_last_10000\"]) * 2.0))))))))) \n        v[\"i88\"] = 0.010000*np.tanh(((((((((((((data[\"classic_sta_lta3_mean\"]) - (data[\"max_to_min\"]))) * 2.0)) * 2.0)) * 2.0)) - (data[\"ffti_percentile_roll_std_50\"]))) + (data[\"max_to_min\"]))) \n        v[\"i89\"] = 0.010000*np.tanh(((((data[\"fftr_min_roll_std_10\"]) + (((((data[\"classic_sta_lta6_mean\"]) + (((((data[\"percentile_20\"]) * (((data[\"mean_first_10000\"]) + (data[\"ffti_classic_sta_lta5_mean\"]))))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i90\"] = 0.010000*np.tanh(((((((data[\"fftr_min_roll_std_50\"]) + (((((((((data[\"fftr_min_roll_std_50\"]) + (((data[\"autocorrelation_50\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)))) + (data[\"fftr_num_peaks_100\"]))) + (data[\"fftr_min_roll_std_50\"]))) \n        v[\"i91\"] = 0.010000*np.tanh(((data[\"exp_Moving_average_30000_std\"]) + (((data[\"autocorrelation_1000\"]) + (((((((data[\"exp_Moving_average_30000_std\"]) - (data[\"percentile_70\"]))) * 2.0)) - (((data[\"percentile_70\"]) * 2.0)))))))) \n        v[\"i92\"] = 0.010000*np.tanh(((((((data[\"fftr_min_roll_std_50\"]) - (data[\"autocorrelation_10\"]))) + (data[\"classic_sta_lta3_mean\"]))) + (((((((((data[\"mean_change_rate_last_1000\"]) * (data[\"percentile_roll_mean_10\"]))) * 2.0)) + (data[\"classic_sta_lta3_mean\"]))) * 2.0)))) \n        v[\"i93\"] = 0.010000*np.tanh(((data[\"fftr_num_peaks_100\"]) + (((((((((((data[\"fftr_min_roll_std_10\"]) - (((data[\"percentile_70\"]) - (((data[\"ffti_max_to_min\"]) * 2.0)))))) * 2.0)) + (data[\"ffti_autocorrelation_10000\"]))) * 2.0)) * 2.0)))) \n        v[\"i94\"] = 0.010000*np.tanh(((((data[\"percentile_75\"]) * 2.0)) + (((((((data[\"fftr_min_roll_std_500\"]) - (data[\"max_to_min\"]))) * 2.0)) - (data[\"abs_max_roll_std_500\"]))))) \n        v[\"i95\"] = 0.010000*np.tanh(((data[\"med\"]) * (((((data[\"fftr_max_roll_mean_500\"]) + (data[\"med\"]))) + (((((((data[\"percentile_20\"]) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i96\"] = 0.010000*np.tanh(((((((data[\"fftr_num_peaks_100\"]) + (((data[\"ffti_autocorrelation_10000\"]) + (data[\"ffti_std_roll_mean_1000\"]))))) + (((data[\"fftr_min_roll_std_10\"]) + (data[\"autocorrelation_50\"]))))) * 2.0)) \n        v[\"i97\"] = 0.010000*np.tanh(((data[\"percentile_20\"]) * (((data[\"percentile_20\"]) + (((((((data[\"fftr_percentile_roll_std_25\"]) + (data[\"percentile_80\"]))) * 2.0)) * 2.0)))))) \n        v[\"i98\"] = 0.010000*np.tanh(((((data[\"fftr_min_roll_std_500\"]) + (((data[\"fftr_min_roll_std_50\"]) - (((data[\"classic_sta_lta2_mean\"]) * 2.0)))))) * 2.0)) \n        v[\"i99\"] = 0.010000*np.tanh(((((((((data[\"fftr_num_peaks_20\"]) - (((data[\"autocorrelation_10\"]) - (((data[\"fftr_min_roll_std_50\"]) + (data[\"autocorrelation_5\"]))))))) + ((-1.0*((data[\"ffti_range_p4000_pinf\"])))))) - (data[\"autocorrelation_10\"]))) * 2.0)) \n        v[\"i100\"] = 0.010000*np.tanh((((((((-1.0*((data[\"max_to_min\"])))) - (data[\"percentile_70\"]))) + (((data[\"fftr_percentile_roll_std_25\"]) - ((((-1.0*((data[\"ffti_min_roll_std_500\"])))) * 2.0)))))) * 2.0)) \n        v[\"i101\"] = 0.010000*np.tanh((((((((((-1.0*((data[\"ffti_min_roll_std_50\"])))) + (data[\"fftr_max_first_10000\"]))) * (data[\"Hann_window_mean_1500\"]))) + (data[\"fftr_num_peaks_100\"]))) * 2.0)) \n        v[\"i102\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_5\"]) - (data[\"av_change_abs_roll_std_1000\"]))) - (((((data[\"max_to_min\"]) * 2.0)) * 2.0)))) + (data[\"max_to_min\"]))) \n        v[\"i103\"] = 0.010000*np.tanh(((((data[\"percentile_20\"]) * 2.0)) * (((((((((data[\"fftr_count_big\"]) + (data[\"percentile_50\"]))) * 2.0)) * 2.0)) + (((((data[\"hmean\"]) * 2.0)) + (data[\"fftr_count_big\"]))))))) \n        v[\"i104\"] = 0.010000*np.tanh(((data[\"autocorrelation_50\"]) + (((data[\"fftr_range_p4000_pinf\"]) + (((data[\"autocorrelation_50\"]) - (data[\"max_to_min\"]))))))) \n        v[\"i105\"] = 0.010000*np.tanh((((((((((-1.0*((((data[\"ffti_min_roll_std_50\"]) * 2.0))))) * 2.0)) + ((((3.0) + (data[\"ffti_min_roll_std_50\"]))/2.0)))) * 2.0)) * 2.0)) \n        v[\"i106\"] = 0.010000*np.tanh(((((data[\"ffti_max_to_min\"]) + (((((data[\"ffti_max_to_min\"]) + (((data[\"fftr_min_roll_std_10\"]) + (data[\"av_change_abs_roll_mean_500\"]))))) * 2.0)))) + (data[\"ffti_min_roll_std_10000\"]))) \n        v[\"i107\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_max_to_min\"]) - (data[\"percentile_90\"]))) * 2.0)) + (data[\"autocorrelation_50\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i108\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_70\"]) * 2.0)) + (data[\"mean_change_rate_first_10000\"]))) + (((((((((data[\"mean_change_rate_first_10000\"]) * 2.0)) * (data[\"fftr_max\"]))) * 2.0)) + (data[\"fftr_num_peaks_20\"]))))) \n        v[\"i109\"] = 0.010000*np.tanh(((data[\"percentile_20\"]) * (((((((((data[\"hmean\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i110\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_std_25\"]) + (data[\"classic_sta_lta3_mean\"]))) + (((((data[\"fftr_percentile_roll_std_25\"]) + (((data[\"classic_sta_lta3_mean\"]) + (data[\"fftr_min_roll_std_10\"]))))) + (data[\"autocorrelation_5\"]))))) \n        v[\"i111\"] = 0.010000*np.tanh(((((((data[\"fftr_mean_first_1000\"]) * (((((((data[\"autocorrelation_1000\"]) - (((data[\"ffti_av_change_abs_roll_std_100\"]) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) + (data[\"percentile_roll_std_80\"]))) \n        v[\"i112\"] = 0.010000*np.tanh(((((((((((data[\"ffti_percentile_roll_std_1\"]) * 2.0)) + ((((-1.0*((((data[\"ffti_mean_change_rate\"]) - (data[\"fftr_num_peaks_100\"])))))) * 2.0)))) * 2.0)) * 2.0)) + (((data[\"ffti_percentile_roll_std_1\"]) * 2.0)))) \n        v[\"i113\"] = 0.010000*np.tanh(((data[\"percentile_roll_std_70\"]) + (((((((data[\"percentile_roll_std_70\"]) + (((data[\"percentile_roll_std_70\"]) + (((data[\"ffti_autocorrelation_10000\"]) + (data[\"ffti_exp_Moving_average_3000_std\"]))))))) * 2.0)) * 2.0)))) \n        v[\"i114\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_min_roll_std_50\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (((((((data[\"autocorrelation_50\"]) * 2.0)) / 2.0)) * 2.0)))) * 2.0)) \n        v[\"i115\"] = 0.010000*np.tanh(((((((((data[\"autocorrelation_50\"]) + (((((((((((data[\"percentile_roll_mean_20\"]) * (data[\"mean_change_rate_first_50000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i116\"] = 0.010000*np.tanh(((((((((data[\"ffti_autocorrelation_10000\"]) * 2.0)) - (data[\"ffti_abs_percentile_1\"]))) * 2.0)) - (((((data[\"ffti_abs_percentile_1\"]) + (data[\"max_to_min\"]))) + ((-1.0*((data[\"ffti_percentile_roll_std_1\"])))))))) \n        v[\"i117\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_std_70\"]) + ((((((-1.0*((data[\"fftr_abs_percentile_10\"])))) - (data[\"max_to_min\"]))) * 2.0)))) * 2.0)) * 2.0)) + (data[\"percentile_roll_std_70\"]))) * 2.0)) \n        v[\"i118\"] = 0.010000*np.tanh(((((((((data[\"autocorrelation_50\"]) + (((((((data[\"mean_first_10000\"]) + (data[\"mean_change_rate_first_10000\"]))) * (data[\"percentile_roll_mean_25\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i119\"] = 0.010000*np.tanh(((((((((((data[\"fftr_percentile_roll_std_20\"]) * ((((9.0)) * (data[\"percentile_40\"]))))) * 2.0)) * (data[\"fftr_min_roll_std_50\"]))) * 2.0)) * ((((9.0)) - (data[\"percentile_40\"]))))) \n        v[\"i120\"] = 0.010000*np.tanh(((((((((data[\"percentile_roll_std_70\"]) * 2.0)) * 2.0)) + (((((((data[\"mean_first_1000\"]) * (data[\"ffti_range_3000_4000\"]))) + (((data[\"fftr_abs_percentile_1\"]) + (data[\"percentile_roll_std_80\"]))))) * 2.0)))) * 2.0)) \n        v[\"i121\"] = 0.010000*np.tanh(((((((data[\"ffti_trend\"]) - (data[\"fftr_mean_first_1000\"]))) * 2.0)) + (((((data[\"ffti_trend\"]) * 2.0)) + (((data[\"autocorrelation_5\"]) + (data[\"classic_sta_lta8_mean\"]))))))) \n        v[\"i122\"] = 0.010000*np.tanh(((((((data[\"fftr_exp_Moving_average_300_std\"]) + (((data[\"fftr_min_roll_std_10\"]) * 2.0)))) + (data[\"ffti_autocorrelation_10000\"]))) + (((((data[\"fftr_exp_Moving_average_300_std\"]) * (data[\"fftr_exp_Moving_average_300_std\"]))) * 2.0)))) \n        v[\"i123\"] = 0.010000*np.tanh(((((((((((data[\"Hann_window_mean_150\"]) + (data[\"percentile_roll_std_70\"]))) + (data[\"fftr_min_roll_std_10\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i124\"] = 0.010000*np.tanh(((((((((((((((data[\"autocorrelation_1000\"]) - (data[\"ffti_min_roll_std_50\"]))) * 2.0)) - (((data[\"ffti_min_roll_std_50\"]) * 2.0)))) * 2.0)) * 2.0)) - (data[\"ffti_min_roll_std_50\"]))) * 2.0)) \n        v[\"i125\"] = 0.010000*np.tanh((((3.0) + ((((data[\"max_last_50000\"]) + (((data[\"fftr_min_roll_std_50\"]) * ((((13.56763935089111328)) + (3.0))))))/2.0)))/2.0)) \n        v[\"i126\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_max_to_min\"]) + (data[\"fftr_min_roll_std_500\"]))) * 2.0)) - (((((data[\"num_peaks_100\"]) - (((data[\"ffti_percentile_roll_mean_99\"]) * 2.0)))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i127\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_std_25\"]) + (((((data[\"fftr_percentile_roll_std_25\"]) + (((((data[\"fftr_percentile_roll_std_25\"]) * 2.0)) - (data[\"max_to_min\"]))))) + (2.0))))) * 2.0)) - (data[\"max_to_min\"]))) \n        v[\"i128\"] = 0.010000*np.tanh(((data[\"abs_percentile_50\"]) * (((((((((((((((((data[\"autocorrelation_1000\"]) + (data[\"ffti_mean_last_50000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i129\"] = 0.010000*np.tanh((((8.0)) + ((((((8.0)) * ((((((8.0)) * (data[\"percentile_roll_std_40\"]))) * 2.0)))) + (((data[\"percentile_roll_std_70\"]) + (data[\"ffti_min_roll_std_10000\"]))))))) \n        v[\"i130\"] = 0.010000*np.tanh((((((((((5.0)) * 2.0)) + ((9.30793571472167969)))) * 2.0)) * ((((5.0)) * (((data[\"mean_first_10000\"]) * (data[\"abs_percentile_50\"]))))))) \n        v[\"i131\"] = 0.010000*np.tanh(((((((((data[\"ffti_skew\"]) * 2.0)) * 2.0)) - (((((data[\"ffti_mean_change_rate\"]) * 2.0)) * 2.0)))) + (data[\"ffti_skew\"]))) \n        v[\"i132\"] = 0.010000*np.tanh(((((data[\"percentile_roll_std_70\"]) + (((((((((data[\"percentile_roll_mean_20\"]) * (data[\"mean_change_rate_first_10000\"]))) - (((((data[\"ffti_abs_max_roll_mean_10000\"]) * (data[\"classic_sta_lta3_mean\"]))) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i133\"] = 0.010000*np.tanh(((data[\"percentile_roll_std_70\"]) * (((data[\"ffti_mean_change_rate\"]) + ((((10.0)) + (((((data[\"percentile_roll_std_70\"]) * ((((9.0)) + (data[\"fftr_min_roll_std_50\"]))))) + (data[\"percentile_roll_std_70\"]))))))))) \n        v[\"i134\"] = 0.010000*np.tanh(((((data[\"percentile_roll_std_70\"]) * 2.0)) + (((data[\"ffti_autocorrelation_10000\"]) + (((data[\"autocorrelation_5\"]) * (((data[\"fftr_percentile_25\"]) * (((data[\"ffti_Hann_window_mean_1500\"]) + ((11.20730876922607422)))))))))))) \n        v[\"i135\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_trend\"]) - (((((data[\"classic_sta_lta2_mean\"]) + (data[\"ffti_mean_change_rate\"]))) * 2.0)))) * 2.0)) - (data[\"fftr_percentile_roll_mean_80\"]))) * 2.0)) - (data[\"fftr_percentile_roll_mean_80\"]))) * 2.0)) \n        v[\"i136\"] = 0.010000*np.tanh(((data[\"autocorrelation_5\"]) + (((((data[\"fftr_max_roll_mean_10\"]) * (((((data[\"mean_change_rate_last_10000\"]) * 2.0)) + (((data[\"fftr_max_roll_mean_10\"]) * 2.0)))))) + (data[\"ffti_percentile_roll_std_1\"]))))) \n        v[\"i137\"] = 0.010000*np.tanh(((3.0) + (((((data[\"percentile_roll_std_40\"]) * 2.0)) * ((((((13.12057590484619141)) * 2.0)) + (((data[\"percentile_roll_std_40\"]) * ((((((10.0)) * 2.0)) * 2.0)))))))))) \n        v[\"i138\"] = 0.010000*np.tanh(((((((((data[\"ffti_autocorrelation_10000\"]) + (((((((((((data[\"ffti_autocorrelation_10000\"]) * 2.0)) * (data[\"ffti_classic_sta_lta4_mean\"]))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i139\"] = 0.010000*np.tanh(((((((((((data[\"fftr_min_roll_std_10000\"]) * 2.0)) * 2.0)) - ((((12.28333282470703125)) * (((data[\"fftr_min_roll_std_10000\"]) * 2.0)))))) + (data[\"percentile_roll_std_60\"]))) * 2.0)) \n        v[\"i140\"] = 0.010000*np.tanh(((((data[\"max_roll_mean_10000\"]) + (((((((((((data[\"ffti_classic_sta_lta5_mean\"]) * 2.0)) + (data[\"fftr_time_rev_asym_stat_50\"]))) * 2.0)) + (data[\"fftr_max_roll_std_10\"]))) * 2.0)))) * 2.0)) \n        v[\"i141\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_time_rev_asym_stat_1\"]) * (((data[\"fftr_percentile_20\"]) * 2.0)))) * 2.0)) * 2.0)) - (data[\"ffti_min_roll_std_50\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i142\"] = 0.010000*np.tanh(((((((((((((((((data[\"percentile_roll_std_60\"]) / 2.0)) - (((data[\"fftr_percentile_roll_std_80\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i143\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_70\"]) * (((((3.0) * 2.0)) * 2.0)))) * 2.0)) * (((((data[\"percentile_roll_std_70\"]) * ((11.34355449676513672)))) + ((11.34355449676513672)))))) \n        v[\"i144\"] = 0.010000*np.tanh(((((((((((data[\"fftr_range_2000_3000\"]) * 2.0)) * (((((data[\"abs_percentile_70\"]) * 2.0)) * 2.0)))) * 2.0)) - (data[\"percentile_50\"]))) - (((data[\"abs_percentile_70\"]) + (data[\"abs_percentile_70\"]))))) \n        v[\"i145\"] = 0.010000*np.tanh(((((((((data[\"percentile_10\"]) * (data[\"abs_percentile_40\"]))) * (((((((((data[\"percentile_roll_mean_60\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i146\"] = 0.010000*np.tanh(((((((((((((((data[\"percentile_roll_std_70\"]) + (((data[\"autocorrelation_50\"]) * (data[\"fftr_range_2000_3000\"]))))) * 2.0)) + (data[\"fftr_min_roll_std_500\"]))) * 2.0)) * 2.0)) + (data[\"fftr_min_roll_std_500\"]))) * 2.0)) \n        v[\"i147\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_percentile_roll_std_25\"]) - (data[\"fftr_percentile_roll_std_25\"]))) * 2.0)) + ((((data[\"autocorrelation_5\"]) + (data[\"ffti_percentile_roll_std_5\"]))/2.0)))) * 2.0)) + (data[\"fftr_autocorrelation_5000\"]))) * 2.0)) * 2.0)) \n        v[\"i148\"] = 0.010000*np.tanh(((((((((((data[\"fftr_num_peaks_100\"]) + (((((data[\"ffti_autocorrelation_10000\"]) + (((data[\"fftr_percentile_40\"]) * (((data[\"fftr_min_roll_std_50\"]) * 2.0)))))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i149\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_70\"]) + (((data[\"percentile_roll_std_70\"]) + (((((((data[\"fftr_min_roll_std_10\"]) + (data[\"av_change_abs_roll_mean_500\"]))) * 2.0)) * 2.0)))))) + (data[\"av_change_abs_roll_mean_500\"]))) * 2.0)) \n        v[\"i150\"] = 0.010000*np.tanh(((((((data[\"fftr_autocorrelation_500\"]) - (data[\"ffti_mean_change_rate\"]))) + (((((((((data[\"ffti_trend\"]) * 2.0)) * (((data[\"fftr_num_peaks_100\"]) * 2.0)))) * 2.0)) + (data[\"percentile_20\"]))))) * 2.0)) \n        v[\"i151\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_std_70\"]) + ((((((-1.0*((data[\"fftr_percentile_roll_std_80\"])))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i152\"] = 0.010000*np.tanh(((((((data[\"ffti_std_roll_mean_10000\"]) - (data[\"ffti_autocorrelation_10\"]))) * 2.0)) + ((((((((((((data[\"abs_max_roll_mean_10000\"]) * (data[\"mean_first_10000\"]))) * 2.0)) * 2.0)) + (data[\"ffti_std_roll_mean_10000\"]))/2.0)) * 2.0)))) \n        v[\"i153\"] = 0.010000*np.tanh(((((data[\"percentile_20\"]) * (((((((((data[\"fftr_percentile_roll_std_25\"]) + (((data[\"mean_last_1000\"]) * (data[\"percentile_roll_std_40\"]))))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i154\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_5\"]) - (((((data[\"percentile_roll_std_25\"]) * 2.0)) * (((data[\"autocorrelation_5\"]) + (((data[\"fftr_percentile_roll_std_25\"]) * 2.0)))))))) * 2.0)) * 2.0)) \n        v[\"i155\"] = 0.010000*np.tanh(((((((((data[\"ffti_exp_Moving_average_50000_std\"]) * (((data[\"percentile_roll_std_10\"]) - (((((data[\"ffti_autocorrelation_500\"]) * 2.0)) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i156\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_std_70\"]) + ((((((-1.0*((data[\"ffti_percentile_roll_std_80\"])))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i157\"] = 0.010000*np.tanh(((data[\"autocorrelation_5\"]) * ((((-1.0*((((((((((data[\"percentile_roll_std_40\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0))))) * 2.0)))) \n        v[\"i158\"] = 0.010000*np.tanh(((((((((data[\"fftr_abs_percentile_1\"]) + (((((((data[\"ffti_range_2000_3000\"]) * (data[\"abs_percentile_80\"]))) * 2.0)) * 2.0)))) * 2.0)) + (data[\"fftr_abs_percentile_1\"]))) * 2.0)) \n        v[\"i159\"] = 0.010000*np.tanh(((((((((data[\"percentile_roll_std_80\"]) + (((((data[\"ffti_percentile_roll_std_1\"]) * 2.0)) + (((((data[\"autocorrelation_50\"]) + (data[\"percentile_roll_std_60\"]))) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i160\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_time_rev_asym_stat_10\"]) - (data[\"ffti_av_change_abs_roll_std_100\"]))) * 2.0)) - (data[\"ffti_av_change_abs_roll_std_100\"]))) * 2.0)) * 2.0)) * 2.0)) + (((data[\"fftr_percentile_roll_std_25\"]) - (data[\"ffti_av_change_abs_roll_std_100\"]))))) \n        v[\"i161\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_roll_std_5\"]) * 2.0)) - (((data[\"fftr_time_rev_asym_stat_1\"]) * (((((((data[\"mean_first_1000\"]) + (((((data[\"ffti_percentile_roll_std_5\"]) * 2.0)) * 2.0)))) * 2.0)) * 2.0)))))) \n        v[\"i162\"] = 0.010000*np.tanh(((((data[\"percentile_roll_std_70\"]) + (((((data[\"mean_first_10000\"]) * (((((((data[\"fftr_percentile_roll_std_25\"]) * (((data[\"med\"]) * 2.0)))) + (data[\"med\"]))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i163\"] = 0.010000*np.tanh(((((((((data[\"percentile_roll_std_5\"]) + (((((((((data[\"fftr_num_peaks_50\"]) * (data[\"ffti_percentile_roll_std_25\"]))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i164\"] = 0.010000*np.tanh(((((((((data[\"percentile_80\"]) * (((((data[\"mean_change_rate_last_10000\"]) - (data[\"autocorrelation_100\"]))) - (data[\"autocorrelation_100\"]))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i165\"] = 0.010000*np.tanh(((((((((((((((((data[\"mean_first_10000\"]) * (((data[\"fftr_percentile_roll_std_30\"]) + (data[\"fftr_max_roll_mean_10\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i166\"] = 0.010000*np.tanh(((((((((((data[\"ffti_percentile_roll_std_5\"]) + (((((data[\"percentile_roll_std_60\"]) - (data[\"ffti_mean_change_rate\"]))) * 2.0)))) * 2.0)) * 2.0)) - (data[\"fftr_range_-3000_-2000\"]))) * 2.0)) \n        v[\"i167\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_std_70\"]) + (((((data[\"fftr_min_roll_std_50\"]) + (((data[\"ffti_range_-4000_-3000\"]) * (((data[\"mean_first_1000\"]) * 2.0)))))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i168\"] = 0.010000*np.tanh(((data[\"autocorrelation_1000\"]) + (((((((((data[\"exp_Moving_average_300_mean\"]) + (data[\"fftr_min_roll_std_1000\"]))) * (((((data[\"mean_change_rate_last_10000\"]) + (data[\"autocorrelation_1000\"]))) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i169\"] = 0.010000*np.tanh((((((9.0)) * ((((data[\"percentile_roll_std_5\"]) + (((data[\"fftr_range_2000_3000\"]) * (((data[\"autocorrelation_50\"]) - ((-1.0*((data[\"percentile_60\"])))))))))/2.0)))) * 2.0)) \n        v[\"i170\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_mean_first_1000\"]) - (data[\"mean_change_rate\"]))) * (data[\"mean_first_1000\"]))) * 2.0)) + (((data[\"ffti_percentile_roll_mean_95\"]) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i171\"] = 0.010000*np.tanh(((((data[\"fftr_hmean\"]) + (((((data[\"mean_first_1000\"]) * (((data[\"fftr_hmean\"]) + (((data[\"ffti_av_change_abs_roll_mean_10000\"]) - (data[\"fftr_percentile_30\"]))))))) * 2.0)))) - (data[\"fftr_range_-3000_-2000\"]))) \n        v[\"i172\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_50\"]) + (((data[\"fftr_percentile_roll_std_40\"]) + (((data[\"fftr_num_peaks_100\"]) * (((((((data[\"ffti_trend\"]) * 2.0)) * 2.0)) * 2.0)))))))) * 2.0)) * 2.0)) \n        v[\"i173\"] = 0.010000*np.tanh(((((data[\"percentile_roll_std_70\"]) + (((((data[\"fftr_num_peaks_100\"]) + (((((data[\"fftr_std_roll_mean_50\"]) * (((data[\"exp_Moving_average_30000_std\"]) - (data[\"classic_sta_lta3_mean\"]))))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i174\"] = 0.010000*np.tanh(((((((((data[\"fftr_time_rev_asym_stat_10\"]) * 2.0)) + (((data[\"percentile_60\"]) * (((data[\"fftr_time_rev_asym_stat_10\"]) + (((((data[\"ffti_range_-3000_-2000\"]) * 2.0)) * 2.0)))))))) * 2.0)) * 2.0)) \n        v[\"i175\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_1000\"]) + (((((data[\"ffti_std_roll_mean_50\"]) * (((data[\"exp_Moving_average_30000_std\"]) * 2.0)))) + (data[\"percentile_roll_std_80\"]))))) + (data[\"fftr_ave_roll_mean_1000\"]))) * 2.0)) \n        v[\"i176\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_5\"]) * 2.0)) + (((((data[\"autocorrelation_50\"]) * 2.0)) + (((((data[\"fftr_mean_first_1000\"]) * 2.0)) + (((data[\"percentile_roll_std_5\"]) * 2.0)))))))) * 2.0)) \n        v[\"i177\"] = 0.010000*np.tanh(((((((((((data[\"mean_change_rate_last_10000\"]) * (((((data[\"percentile_roll_mean_99\"]) * 2.0)) * 2.0)))) + (((data[\"mean_change_rate_last_10000\"]) * (((data[\"percentile_roll_mean_99\"]) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i178\"] = 0.010000*np.tanh(((((((((data[\"fftr_time_rev_asym_stat_5\"]) * (((((data[\"fftr_av_change_abs_roll_mean_10\"]) + (data[\"av_change_abs_roll_mean_500\"]))) + (((data[\"fftr_trend\"]) + (data[\"av_change_abs_roll_mean_500\"]))))))) + (data[\"av_change_abs_roll_mean_500\"]))) * 2.0)) * 2.0)) \n        v[\"i179\"] = 0.010000*np.tanh(((((data[\"abs_percentile_80\"]) + (((((data[\"ffti_percentile_roll_std_1\"]) + (((((data[\"percentile_roll_std_5\"]) * 2.0)) * 2.0)))) + (((data[\"percentile_roll_std_5\"]) * 2.0)))))) * 2.0)) \n        v[\"i180\"] = 0.010000*np.tanh(((((data[\"ffti_skew\"]) + (data[\"fftr_min_roll_std_10\"]))) + (((((((((((((data[\"av_change_abs_roll_mean_500\"]) + (data[\"fftr_min_roll_std_10\"]))) * 2.0)) * 2.0)) * 2.0)) + (data[\"fftr_percentile_roll_std_20\"]))) * 2.0)))) \n        v[\"i181\"] = 0.010000*np.tanh(((((((((((((((((((data[\"autocorrelation_5000\"]) + (data[\"av_change_abs_roll_std_10\"]))) * 2.0)) * (data[\"ffti_range_1000_2000\"]))) * 2.0)) - (data[\"fftr_range_-3000_-2000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i182\"] = 0.010000*np.tanh(((((((data[\"abs_percentile_20\"]) + (((((((data[\"autocorrelation_5\"]) + ((-1.0*((((data[\"fftr_mean_last_1000\"]) * 2.0))))))) - (data[\"abs_percentile_20\"]))) * 2.0)))) - (data[\"fftr_range_-3000_-2000\"]))) * 2.0)) \n        v[\"i183\"] = 0.010000*np.tanh(((data[\"percentile_roll_std_80\"]) + (((((data[\"mean_change_rate_first_10000\"]) - (((((data[\"fftr_classic_sta_lta5_mean\"]) * (((data[\"fftr_percentile_roll_std_25\"]) + (data[\"fftr_percentile_roll_std_20\"]))))) * 2.0)))) * 2.0)))) \n        v[\"i184\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_std_40\"]) * 2.0)) + (data[\"autocorrelation_50\"]))) * 2.0)) + (((((data[\"autocorrelation_50\"]) + (((data[\"ffti_percentile_roll_std_1\"]) + (data[\"autocorrelation_50\"]))))) * 2.0)))) * 2.0)) \n        v[\"i185\"] = 0.010000*np.tanh(((((((data[\"mean_first_1000\"]) + (((data[\"exp_Moving_average_30000_std\"]) + (((((data[\"autocorrelation_50\"]) + (data[\"percentile_roll_std_5\"]))) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i186\"] = 0.010000*np.tanh(((((((data[\"percentile_60\"]) * (data[\"fftr_abs_percentile_20\"]))) + (((((data[\"ffti_autocorrelation_10000\"]) * 2.0)) + (((data[\"num_peaks_20\"]) * (data[\"num_peaks_20\"]))))))) * 2.0)) \n        v[\"i187\"] = 0.010000*np.tanh(((((((((data[\"fftr_percentile_roll_std_25\"]) + (((data[\"percentile_roll_std_70\"]) - (((data[\"fftr_percentile_roll_std_25\"]) * (((((((data[\"percentile_roll_std_5\"]) * 2.0)) * 2.0)) * 2.0)))))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i188\"] = 0.010000*np.tanh(((((((data[\"classic_sta_lta3_mean\"]) + (((((((data[\"fftr_hmean\"]) + (data[\"ffti_percentile_roll_mean_95\"]))) * 2.0)) * 2.0)))) - (data[\"fftr_range_-3000_-2000\"]))) + (data[\"ffti_percentile_roll_mean_95\"]))) \n        v[\"i189\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_autocorrelation_10\"]) * (((data[\"fftr_percentile_roll_std_25\"]) + (((data[\"percentile_roll_std_80\"]) * 2.0)))))) * 2.0)) + (data[\"fftr_max_roll_std_100\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i190\"] = 0.010000*np.tanh(((((((((((((((((((((((data[\"fftr_range_3000_4000\"]) - (data[\"fftr_range_2000_3000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i191\"] = 0.010000*np.tanh(((data[\"fftr_hmean\"]) * (((((data[\"fftr_autocorrelation_50\"]) + (((((data[\"ffti_min_roll_std_100\"]) + (data[\"autocorrelation_100\"]))) + (data[\"ffti_hmean\"]))))) + (data[\"fftr_autocorrelation_50\"]))))) \n        v[\"i192\"] = 0.010000*np.tanh(((((((((((data[\"av_change_rate_roll_std_10\"]) + (((data[\"autocorrelation_1000\"]) * (((data[\"ffti_Hann_window_mean_50\"]) * ((-1.0*((((data[\"fftr_abs_max_roll_mean_50\"]) * 2.0))))))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i193\"] = 0.010000*np.tanh(((((((((((((data[\"autocorrelation_5\"]) * (data[\"min_last_10000\"]))) * 2.0)) * 2.0)) * 2.0)) + (((((data[\"ffti_av_change_abs_roll_std_10000\"]) * (data[\"med\"]))) * 2.0)))) * 2.0)) \n        v[\"i194\"] = 0.010000*np.tanh(((data[\"fftr_time_rev_asym_stat_1\"]) + (((data[\"mean_first_50000\"]) * (((((((data[\"autocorrelation_1000\"]) * 2.0)) + (data[\"mean_first_50000\"]))) - (data[\"fftr_time_rev_asym_stat_1\"]))))))) \n        v[\"i195\"] = 0.010000*np.tanh(((((((data[\"ffti_autocorrelation_100\"]) * ((-1.0*((data[\"ffti_mean_change_rate\"])))))) + ((((((-1.0*((((data[\"ffti_mean_change_rate\"]) * 2.0))))) + (data[\"percentile_75\"]))) * 2.0)))) * 2.0)) \n        v[\"i196\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_abs_percentile_1\"]) + (data[\"fftr_num_peaks_100\"]))) + (((data[\"ffti_kstat_1\"]) * (((((data[\"fftr_num_peaks_100\"]) * 2.0)) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i197\"] = 0.010000*np.tanh(((((((((((((((((((data[\"ffti_autocorrelation_10000\"]) * 2.0)) * 2.0)) + (((data[\"ffti_autocorrelation_10000\"]) * 2.0)))) * 2.0)) * (data[\"ffti_range_3000_4000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i198\"] = 0.010000*np.tanh(((((data[\"ffti_ave_roll_mean_10\"]) + (((((((((((data[\"av_change_abs_roll_std_50\"]) - (((data[\"ffti_ave_roll_mean_10\"]) * (data[\"fftr_mean_first_1000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i199\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_roll_std_40\"]) * (((((((((data[\"fftr_time_rev_asym_stat_10\"]) + (((data[\"ffti_min_roll_std_10\"]) * 2.0)))) + (data[\"mean_change_rate_last_10000\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i200\"] = 0.010000*np.tanh(((((((data[\"fftr_abs_percentile_1\"]) * 2.0)) + (((((((data[\"fftr_range_2000_3000\"]) * (((data[\"min_roll_std_500\"]) + (data[\"mean_last_10000\"]))))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i201\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_min_roll_std_10000\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (data[\"ffti_min_roll_std_50\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i202\"] = 0.010000*np.tanh(((((data[\"fftr_min_roll_std_500\"]) - (((data[\"mean_change_rate_last_10000\"]) * ((-1.0*((((((((data[\"mean_first_10000\"]) + (data[\"mean_first_10000\"]))) + (data[\"mean_first_10000\"]))) + (data[\"fftr_time_rev_asym_stat_1\"])))))))))) * 2.0)) \n        v[\"i203\"] = 0.010000*np.tanh(((((((((((((data[\"autocorrelation_10000\"]) * (data[\"sum\"]))) * 2.0)) + (data[\"ffti_skew\"]))) * 2.0)) + (data[\"ffti_skew\"]))) * 2.0)) \n        v[\"i204\"] = 0.010000*np.tanh(((((((((((((((data[\"percentile_roll_std_40\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i205\"] = 0.010000*np.tanh(((((((((((((((((((data[\"ffti_percentile_roll_std_30\"]) * (data[\"kurt\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (((data[\"fftr_mean_last_10000\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i206\"] = 0.010000*np.tanh(((((((data[\"ffti_autocorrelation_5000\"]) + (((data[\"av_change_abs_roll_mean_100\"]) * (((((((data[\"ffti_percentile_roll_std_1\"]) + (data[\"fftr_time_rev_asym_stat_5\"]))) + (data[\"max_last_10000\"]))) + (data[\"fftr_autocorrelation_5000\"]))))))) * 2.0)) * 2.0)) \n        v[\"i207\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_70\"]) + (((((data[\"fftr_std_roll_mean_10000\"]) * (((data[\"num_peaks_50\"]) + (((data[\"num_peaks_50\"]) + (data[\"ffti_abs_max_roll_mean_10000\"]))))))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i208\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_5\"]) + (((((((((data[\"mean_change_rate_last_10000\"]) * (((((data[\"percentile_75\"]) - (data[\"ffti_mean_change_abs\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i209\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_mean_last_1000\"]) * 2.0)) * 2.0)) * (((data[\"ffti_min_roll_std_50\"]) + (data[\"ffti_autocorrelation_5000\"]))))) - (data[\"ffti_percentile_roll_std_80\"]))) * 2.0)) * 2.0)) \n        v[\"i210\"] = 0.010000*np.tanh(((data[\"percentile_roll_std_80\"]) + (((((((data[\"mean_change_rate_first_1000\"]) + (((((((data[\"ffti_av_change_abs_roll_mean_50\"]) * (((data[\"fftr_percentile_roll_std_30\"]) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i211\"] = 0.010000*np.tanh(((((((((((((((((data[\"fftr_abs_max_roll_mean_10000\"]) * (((data[\"num_peaks_100\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (data[\"classic_sta_lta2_mean\"]))) * 2.0)) * 2.0)) \n        v[\"i212\"] = 0.010000*np.tanh(((((((((data[\"autocorrelation_50\"]) * 2.0)) + (((data[\"percentile_roll_std_5\"]) + (((data[\"percentile_roll_std_5\"]) * (((((data[\"autocorrelation_50\"]) * 2.0)) * 2.0)))))))) * 2.0)) * 2.0)) \n        v[\"i213\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_std_30\"]) * 2.0)) * ((((((-1.0*((((((data[\"ffti_exp_Moving_average_30000_mean\"]) * 2.0)) * 2.0))))) - (((data[\"classic_sta_lta1_mean\"]) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i214\"] = 0.010000*np.tanh(((data[\"ffti_trend\"]) - (((((((((data[\"fftr_abs_percentile_10\"]) + (((data[\"fftr_mean_last_1000\"]) + (((data[\"fftr_mean_last_1000\"]) - (data[\"ffti_autocorrelation_10000\"]))))))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i215\"] = 0.010000*np.tanh(((data[\"percentile_roll_std_70\"]) + (((((((data[\"fftr_abs_max_roll_mean_50\"]) + (((data[\"percentile_roll_std_5\"]) * 2.0)))) + (((((data[\"percentile_roll_std_40\"]) * 2.0)) * 2.0)))) + (data[\"fftr_exp_Moving_average_50000_mean\"]))))) \n        v[\"i216\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_min_roll_std_10000\"]) * (((((data[\"percentile_roll_std_40\"]) * 2.0)) * 2.0)))) + (data[\"fftr_percentile_roll_std_25\"]))) * 2.0)) * 2.0)) * 2.0)) + (data[\"fftr_percentile_roll_std_25\"]))) \n        v[\"i217\"] = 0.010000*np.tanh(((((((data[\"ffti_max_to_min\"]) + (((data[\"ffti_num_peaks_20\"]) * (data[\"classic_sta_lta3_mean\"]))))) * 2.0)) + (((((data[\"ffti_kstatvar_1\"]) - (data[\"fftr_abs_percentile_25\"]))) + (((data[\"fftr_min_roll_std_500\"]) * 2.0)))))) \n        v[\"i218\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_skew\"]) * (((data[\"ffti_ave_roll_mean_500\"]) - (data[\"ffti_autocorrelation_5\"]))))) * 2.0)) * 2.0)) + (data[\"ffti_skew\"]))) * 2.0)) * 2.0)) + (data[\"ffti_ave_roll_mean_500\"]))) \n        v[\"i219\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_av_change_abs_roll_mean_50\"]) * (((((((data[\"ffti_mean_change_abs\"]) * (data[\"fftr_time_rev_asym_stat_10\"]))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) - (data[\"fftr_abs_percentile_25\"]))) * 2.0)) * 2.0)) \n        v[\"i220\"] = 0.010000*np.tanh(((((((((((((((((((data[\"fftr_percentile_50\"]) * (data[\"max_to_min\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i221\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_min_roll_std_50\"]) - (((data[\"classic_sta_lta2_mean\"]) + (data[\"fftr_min_roll_mean_10000\"]))))) + (data[\"fftr_min_roll_std_50\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i222\"] = 0.010000*np.tanh((((((((((((data[\"ffti_min_roll_mean_10000\"]) * (((data[\"classic_sta_lta3_mean\"]) * 2.0)))) * 2.0)) * 2.0)) - (data[\"fftr_range_-3000_-2000\"]))) + (data[\"classic_sta_lta3_mean\"]))/2.0)) \n        v[\"i223\"] = 0.010000*np.tanh((((((12.54508113861083984)) + (((data[\"percentile_roll_std_70\"]) * ((12.54508113861083984)))))) * (((data[\"mean_first_1000\"]) + (((data[\"percentile_roll_std_70\"]) * ((12.54508113861083984)))))))) \n        v[\"i224\"] = 0.010000*np.tanh(((((data[\"classic_sta_lta5_mean\"]) + (((((((((data[\"percentile_roll_std_70\"]) + (((data[\"autocorrelation_50\"]) * (((data[\"percentile_roll_std_40\"]) + (data[\"ffti_mean_change_rate\"]))))))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i225\"] = 0.010000*np.tanh(((((((((data[\"mean_change_rate_last_1000\"]) * (((data[\"num_peaks_20\"]) * 2.0)))) * 2.0)) * 2.0)) - (((data[\"ffti_mean_change_rate\"]) - (((data[\"num_peaks_20\"]) * (data[\"num_peaks_20\"]))))))) \n        v[\"i226\"] = 0.010000*np.tanh(((data[\"fftr_abs_percentile_5\"]) + (((((data[\"ffti_autocorrelation_10000\"]) * (((((data[\"fftr_abs_percentile_5\"]) * 2.0)) * 2.0)))) * 2.0)))) \n        v[\"i227\"] = 0.010000*np.tanh(((((((data[\"av_change_abs_roll_mean_500\"]) - (((((data[\"ffti_autocorrelation_10\"]) - (((((data[\"ffti_mean_last_10000\"]) - (((data[\"fftr_mean_last_10000\"]) * (data[\"av_change_abs_roll_mean_500\"]))))) * 2.0)))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i228\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_skew\"]) + (data[\"fftr_abs_max_roll_mean_1000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (data[\"ffti_mean_change_rate\"]))) * 2.0)) \n        v[\"i229\"] = 0.010000*np.tanh(((((((((data[\"fftr_min_roll_std_10\"]) + (data[\"percentile_20\"]))) * 2.0)) + (data[\"fftr_min_roll_std_10\"]))) * 2.0)) \n        v[\"i230\"] = 0.010000*np.tanh(((((((((data[\"exp_Moving_average_50000_std\"]) * (((data[\"av_change_abs_roll_mean_10\"]) - (((data[\"autocorrelation_1000\"]) - (data[\"av_change_abs_roll_mean_10\"]))))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i231\"] = 0.010000*np.tanh(((((((((((((((((((data[\"av_change_abs_roll_std_10\"]) - (data[\"fftr_percentile_roll_mean_90\"]))) * 2.0)) * 2.0)) * 2.0)) + (data[\"fftr_percentile_roll_mean_90\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i232\"] = 0.010000*np.tanh(((((((data[\"fftr_time_rev_asym_stat_50\"]) * (((((((((((data[\"fftr_av_change_abs_roll_std_100\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) - (data[\"ffti_av_change_abs_roll_std_10000\"]))) + (data[\"classic_sta_lta3_mean\"]))) \n        v[\"i233\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_time_rev_asym_stat_1\"]) - (data[\"ffti_min_roll_std_50\"]))) * 2.0)) * 2.0)) * (((data[\"fftr_min_roll_std_10\"]) + (((data[\"fftr_percentile_25\"]) * 2.0)))))) + (data[\"fftr_percentile_25\"]))) * 2.0)) \n        v[\"i234\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_ave_roll_mean_10\"]) * (((data[\"fftr_percentile_roll_mean_40\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i235\"] = 0.010000*np.tanh((((6.0)) * ((((((((((((data[\"ffti_min_roll_std_1000\"]) * 2.0)) * 2.0)) * 2.0)) * ((-1.0*((data[\"fftr_mean_first_1000\"])))))) + (data[\"min_roll_std_10\"]))/2.0)))) \n        v[\"i236\"] = 0.010000*np.tanh(((((((((((((((((data[\"av_change_abs_roll_std_10\"]) + (data[\"ffti_trend\"]))) * 2.0)) * 2.0)) + (data[\"fftr_percentile_roll_std_30\"]))) + (data[\"fftr_percentile_roll_std_30\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i237\"] = 0.010000*np.tanh(((((((((data[\"ffti_av_change_abs_roll_std_10000\"]) * (((((data[\"percentile_50\"]) * 2.0)) * 2.0)))) - (data[\"ffti_autocorrelation_50\"]))) * 2.0)) * 2.0)) \n        v[\"i238\"] = 0.010000*np.tanh(((((((((((((data[\"percentile_roll_mean_70\"]) * (((data[\"fftr_num_peaks_10\"]) * (((((data[\"av_change_abs_roll_mean_100\"]) * 2.0)) * 2.0)))))) - (data[\"fftr_num_peaks_10\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i239\"] = 0.010000*np.tanh(((((((data[\"ffti_std_roll_mean_1000\"]) + (((((data[\"ffti_abs_percentile_10\"]) - (data[\"autocorrelation_5\"]))) * (((data[\"autocorrelation_500\"]) + (data[\"fftr_exp_Moving_average_30000_std\"]))))))) * 2.0)) * 2.0)) \n        v[\"i240\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_1\"]) + (data[\"ffti_exp_Moving_average_3000_std\"]))) + (((((((data[\"percentile_roll_std_5\"]) * 2.0)) * 2.0)) + (data[\"fftr_abs_max_roll_mean_10\"]))))) * 2.0)) \n        v[\"i241\"] = 0.010000*np.tanh(((((((((data[\"percentile_20\"]) * (((((((((data[\"ffti_num_peaks_10\"]) * (data[\"fftr_percentile_30\"]))) * 2.0)) * 2.0)) - (data[\"ffti_av_change_abs_roll_std_50\"]))))) * 2.0)) * 2.0)) - (data[\"ffti_av_change_abs_roll_std_50\"]))) \n        v[\"i242\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_percentile_roll_std_5\"]) * ((-1.0*((((data[\"fftr_time_rev_asym_stat_1\"]) + (data[\"ffti_av_change_abs_roll_std_100\"])))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i243\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_kstat_1\"]) * 2.0)) * (((((data[\"mean_first_10000\"]) + (data[\"fftr_num_peaks_100\"]))) - (data[\"fftr_ave_roll_mean_1000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i244\"] = 0.010000*np.tanh(((data[\"percentile_75\"]) + (((((data[\"fftr_hmean\"]) * (((((((((((((data[\"autocorrelation_100\"]) * 2.0)) * 2.0)) * 2.0)) + (data[\"fftr_hmean\"]))) * 2.0)) * 2.0)))) * 2.0)))) \n        v[\"i245\"] = 0.010000*np.tanh(((((((((data[\"classic_sta_lta3_mean\"]) + (((((data[\"percentile_roll_std_70\"]) + (((data[\"fftr_hmean\"]) * (((data[\"ffti_min_roll_std_100\"]) * 2.0)))))) * 2.0)))) + (data[\"ffti_min_roll_std_100\"]))) * 2.0)) * 2.0)) \n        v[\"i246\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_mean_70\"]) + ((((-1.0*(((((data[\"mean_first_1000\"]) + (data[\"fftr_mean_last_1000\"]))/2.0))))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i247\"] = 0.010000*np.tanh((((((((((-1.0*((data[\"percentile_80\"])))) * (((((data[\"autocorrelation_100\"]) * 2.0)) * 2.0)))) + (data[\"ffti_classic_sta_lta1_mean\"]))) * 2.0)) * 2.0)) \n        v[\"i248\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_std_25\"]) + (data[\"ffti_autocorrelation_10000\"]))) - (((data[\"classic_sta_lta8_mean\"]) * (((data[\"fftr_abs_percentile_1\"]) + (((((((data[\"fftr_abs_percentile_1\"]) * 2.0)) * 2.0)) * 2.0)))))))) \n        v[\"i249\"] = 0.010000*np.tanh(((data[\"autocorrelation_5\"]) + (((((((((((data[\"fftr_num_peaks_100\"]) - (data[\"ffti_mean_change_rate\"]))) * 2.0)) * 2.0)) + (((((data[\"exp_Moving_average_50000_std\"]) * (data[\"ffti_max_roll_mean_500\"]))) * 2.0)))) * 2.0)))) \n        v[\"i250\"] = 0.010000*np.tanh(((((((((data[\"gmean\"]) * (((data[\"percentile_roll_std_70\"]) - (((((data[\"autocorrelation_5\"]) + (data[\"fftr_time_rev_asym_stat_1\"]))) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i251\"] = 0.010000*np.tanh(((((data[\"fftr_range_3000_4000\"]) * (((((data[\"mean_first_1000\"]) + (((((((((data[\"min_roll_std_500\"]) * 2.0)) + (data[\"mean_first_1000\"]))) + (data[\"min_roll_std_10\"]))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i252\"] = 0.010000*np.tanh(((((data[\"ffti_num_peaks_10\"]) * (((((((((((data[\"fftr_skew\"]) * ((7.0)))) * ((7.0)))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i253\"] = 0.010000*np.tanh((((((((-1.0*((((((((data[\"fftr_percentile_roll_std_60\"]) * (data[\"percentile_roll_mean_80\"]))) * 2.0)) * 2.0))))) - (((data[\"fftr_percentile_roll_mean_95\"]) * 2.0)))) * 2.0)) + (data[\"fftr_percentile_roll_std_60\"]))) \n        v[\"i254\"] = 0.010000*np.tanh(((((data[\"fftr_min_last_1000\"]) * (((((data[\"ffti_range_2000_3000\"]) + (((data[\"med\"]) * 2.0)))) + (((((data[\"med\"]) * 2.0)) - (data[\"fftr_range_-3000_-2000\"]))))))) * 2.0)) \n        v[\"i255\"] = 0.010000*np.tanh(((((((data[\"av_change_abs_roll_mean_500\"]) - (((((data[\"ffti_percentile_roll_mean_1\"]) + (((data[\"autocorrelation_5\"]) * 2.0)))) * (data[\"fftr_min_roll_std_10\"]))))) * 2.0)) * 2.0)) \n        v[\"i256\"] = 0.010000*np.tanh(((((data[\"ffti_std_roll_mean_1000\"]) + (((((data[\"abs_percentile_60\"]) - (((data[\"ffti_std_roll_mean_1000\"]) * (((((((data[\"classic_sta_lta3_mean\"]) * 2.0)) * 2.0)) * 2.0)))))) * 2.0)))) * 2.0)) \n        v[\"i257\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_classic_sta_lta1_mean\"]) - (data[\"fftr_range_p4000_pinf\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i258\"] = 0.010000*np.tanh(((((data[\"mean_change_rate_last_1000\"]) * (((((((data[\"fftr_time_rev_asym_stat_100\"]) + (data[\"num_peaks_50\"]))) + (((data[\"num_peaks_20\"]) * 2.0)))) * 2.0)))) + (((data[\"num_peaks_20\"]) * (data[\"num_peaks_20\"]))))) \n        v[\"i259\"] = 0.010000*np.tanh(((((((((((((data[\"abs_percentile_40\"]) * (data[\"percentile_roll_std_60\"]))) + (((data[\"ffti_exp_Moving_average_3000_std\"]) + (((data[\"percentile_roll_std_70\"]) + (data[\"ffti_min_roll_std_1000\"]))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i260\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_ave10\"]) * (((((data[\"spkt_welch_density_100\"]) + (data[\"autocorrelation_10000\"]))) + (((data[\"spkt_welch_density_100\"]) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i261\"] = 0.010000*np.tanh(((((((data[\"min_roll_mean_10000\"]) * (((((((data[\"ffti_sum\"]) - (data[\"fftr_mean\"]))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i262\"] = 0.010000*np.tanh(((((((((data[\"fftr_abs_percentile_1\"]) + (((data[\"fftr_percentile_roll_std_50\"]) + (((data[\"fftr_med\"]) * (data[\"fftr_num_peaks_100\"]))))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i263\"] = 0.010000*np.tanh(((((((((data[\"fftr_min_roll_std_100\"]) * 2.0)) * (((data[\"fftr_autocorrelation_500\"]) - (((data[\"ffti_kstat_4\"]) - (data[\"fftr_autocorrelation_5000\"]))))))) * 2.0)) * 2.0)) \n        v[\"i264\"] = 0.010000*np.tanh((((10.0)) * (((((((data[\"fftr_min_roll_std_10000\"]) * (data[\"fftr_abs_percentile_5\"]))) * 2.0)) - (((data[\"ffti_abs_percentile_1\"]) * (data[\"fftr_min_roll_std_500\"]))))))) \n        v[\"i265\"] = 0.010000*np.tanh(((((((data[\"fftr_std_roll_mean_10000\"]) * (((data[\"fftr_std_roll_mean_10000\"]) + (((data[\"num_peaks_100\"]) + (((((data[\"fftr_mean_first_50000\"]) * 2.0)) * 2.0)))))))) * 2.0)) * 2.0)) \n        v[\"i266\"] = 0.010000*np.tanh(((((data[\"ffti_ave_roll_mean_10\"]) * (data[\"fftr_time_rev_asym_stat_10\"]))) + (((((data[\"fftr_Hann_window_mean_1500\"]) + (((((((data[\"ffti_ave_roll_mean_500\"]) - (data[\"ffti_ave_roll_mean_10\"]))) * 2.0)) * 2.0)))) * 2.0)))) \n        v[\"i267\"] = 0.010000*np.tanh(((((((data[\"ffti_av_change_abs_roll_mean_10\"]) * (((((((((data[\"fftr_abs_max_roll_std_10\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * (data[\"autocorrelation_1000\"]))) * 2.0)) \n        v[\"i268\"] = 0.010000*np.tanh(((((data[\"fftr_std_roll_mean_500\"]) + (((data[\"classic_sta_lta8_mean\"]) + (((data[\"fftr_time_rev_asym_stat_1\"]) * (((((data[\"min_first_50000\"]) - (((data[\"ave_roll_mean_10\"]) - (data[\"classic_sta_lta8_mean\"]))))) * 2.0)))))))) * 2.0)) \n        v[\"i269\"] = 0.010000*np.tanh(((((((((((((((((data[\"autocorrelation_5\"]) - (((data[\"num_peaks_20\"]) * (((data[\"autocorrelation_5\"]) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i270\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_std_25\"]) + (data[\"fftr_percentile_roll_mean_40\"]))) + (((((data[\"ffti_abs_percentile_1\"]) * 2.0)) * (((data[\"ffti_abs_percentile_1\"]) - (((((data[\"fftr_percentile_roll_std_25\"]) * 2.0)) * 2.0)))))))) * 2.0)) \n        v[\"i271\"] = 0.010000*np.tanh(((((((((((data[\"fftr_abs_max_roll_mean_10\"]) * (data[\"percentile_roll_mean_90\"]))) - (((data[\"iqr\"]) * (((data[\"autocorrelation_5\"]) + (data[\"percentile_roll_mean_30\"]))))))) * 2.0)) + (data[\"percentile_roll_std_70\"]))) * 2.0)) \n        v[\"i272\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_num_peaks_100\"]) - (((((data[\"mean_last_10000\"]) * (((data[\"fftr_num_peaks_100\"]) * 2.0)))) / 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i273\"] = 0.010000*np.tanh(((((((((((((((((((data[\"ffti_percentile_roll_mean_75\"]) * (((data[\"ffti_exp_Moving_average_50000_mean\"]) - (data[\"ffti_percentile_roll_std_5\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i274\"] = 0.010000*np.tanh(((((((((data[\"fftr_time_rev_asym_stat_10\"]) * 2.0)) + (((data[\"autocorrelation_1000\"]) - ((((-1.0*((data[\"percentile_70\"])))) * (((data[\"fftr_range_2000_3000\"]) * 2.0)))))))) * 2.0)) + (data[\"ffti_exp_Moving_average_30000_std\"]))) \n        v[\"i275\"] = 0.010000*np.tanh(((((((((data[\"fftr_num_peaks_50\"]) * ((((((((data[\"abs_percentile_60\"]) + (data[\"fftr_abs_percentile_1\"]))/2.0)) * 2.0)) * 2.0)))) + (((data[\"fftr_mean_first_1000\"]) * (data[\"mean_first_10000\"]))))) * 2.0)) * 2.0)) \n        v[\"i276\"] = 0.010000*np.tanh(((((data[\"ffti_abs_percentile_1\"]) * 2.0)) * (((((data[\"ffti_abs_percentile_1\"]) * 2.0)) - (((((((((data[\"ffti_Hann_window_mean_15000\"]) - (data[\"fftr_time_rev_asym_stat_5\"]))) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i277\"] = 0.010000*np.tanh(((((((data[\"fftr_time_rev_asym_stat_5\"]) * (((((data[\"ffti_av_change_abs_roll_std_50\"]) - (((data[\"abs_percentile_60\"]) - (((data[\"ffti_autocorrelation_1000\"]) * 2.0)))))) - (data[\"ffti_min_roll_std_10\"]))))) * 2.0)) * 2.0)) \n        v[\"i278\"] = 0.010000*np.tanh(((data[\"ffti_av_change_abs_roll_std_10000\"]) * (((((((((((data[\"percentile_60\"]) * 2.0)) - (data[\"abs_percentile_50\"]))) * 2.0)) - (data[\"percentile_roll_std_5\"]))) * 2.0)))) \n        v[\"i279\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_percentile_roll_std_5\"]) - (((data[\"ffti_av_change_abs_roll_mean_50\"]) * (data[\"fftr_percentile_roll_mean_30\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i280\"] = 0.010000*np.tanh(((data[\"mean_change_rate_last_50000\"]) * (((((((((((data[\"num_peaks_20\"]) + (((data[\"fftr_percentile_roll_std_20\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) + (data[\"max_first_10000\"]))))) \n        v[\"i281\"] = 0.010000*np.tanh(((((data[\"fftr_num_peaks_50\"]) * (((((((((((data[\"ffti_percentile_roll_std_25\"]) * 2.0)) * 2.0)) * 2.0)) + (((data[\"ffti_exp_Moving_average_3000_std\"]) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i282\"] = 0.010000*np.tanh(((data[\"fftr_mean_first_1000\"]) - (((((((((((((((((((data[\"ffti_Hann_window_mean_150\"]) * (data[\"fftr_abs_percentile_1\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i283\"] = 0.010000*np.tanh(((((((data[\"fftr_ave_roll_mean_10000\"]) * (((data[\"ffti_autocorrelation_100\"]) * 2.0)))) + (((((data[\"ffti_kstat_1\"]) * (data[\"percentile_20\"]))) + (data[\"autocorrelation_1000\"]))))) * 2.0)) \n        v[\"i284\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_range_-3000_-2000\"]) + (data[\"fftr_range_-3000_-2000\"]))) * (((((data[\"percentile_60\"]) * 2.0)) + (data[\"fftr_hmean\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i285\"] = 0.010000*np.tanh((((((((((((13.42621898651123047)) * (((data[\"fftr_min_roll_std_500\"]) * (data[\"mean_first_1000\"]))))) * (data[\"mean_change_rate_last_1000\"]))) - (data[\"fftr_abs_percentile_20\"]))) - (data[\"fftr_abs_percentile_20\"]))) * 2.0)) \n        v[\"i286\"] = 0.010000*np.tanh((((((9.23430442810058594)) + (data[\"ffti_mean_change_rate\"]))) * (((data[\"fftr_time_rev_asym_stat_50\"]) * ((((9.0)) * (((data[\"ffti_ave_roll_mean_10000\"]) - (data[\"mean_change_rate_first_50000\"]))))))))) \n        v[\"i287\"] = 0.010000*np.tanh(((data[\"percentile_80\"]) + (((((((((data[\"min_roll_std_10000\"]) + (((data[\"fftr_time_rev_asym_stat_5\"]) * (((((data[\"fftr_abs_percentile_10\"]) * 2.0)) * 2.0)))))) * 2.0)) * 2.0)) + (data[\"min_roll_std_10000\"]))))) \n        v[\"i288\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_autocorrelation_10000\"]) * (((data[\"fftr_abs_percentile_10\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) + (data[\"ffti_exp_Moving_average_3000_std\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i289\"] = 0.010000*np.tanh(((((((data[\"mean_first_10000\"]) + (data[\"fftr_autocorrelation_5000\"]))) + (((data[\"fftr_percentile_roll_std_20\"]) + (((((data[\"fftr_percentile_roll_std_25\"]) * 2.0)) + (data[\"fftr_autocorrelation_5000\"]))))))) * (((data[\"percentile_10\"]) * 2.0)))) \n        v[\"i290\"] = 0.010000*np.tanh((((((((((((((-1.0*((((data[\"Hann_window_mean_15000\"]) * (((data[\"ffti_min_roll_std_1000\"]) * 2.0))))))) * 2.0)) + (data[\"fftr_abs_max_roll_mean_500\"]))) * 2.0)) * 2.0)) + (data[\"fftr_min_roll_std_10\"]))) * 2.0)) \n        v[\"i291\"] = 0.010000*np.tanh(((((((((data[\"autocorrelation_5\"]) * 2.0)) + (((((((((data[\"ffti_percentile_roll_mean_1\"]) * (data[\"classic_sta_lta3_mean\"]))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) + (data[\"percentile_roll_std_5\"]))) \n        v[\"i292\"] = 0.010000*np.tanh(((data[\"ffti_ave_roll_mean_10\"]) + (((((((((data[\"fftr_percentile_roll_mean_30\"]) + (((((((((data[\"fftr_percentile_roll_std_10\"]) * 2.0)) * (data[\"fftr_percentile_roll_mean_30\"]))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i293\"] = 0.010000*np.tanh(((((((data[\"num_peaks_20\"]) * (data[\"mean_change_rate_last_50000\"]))) * 2.0)) + (((((((((((data[\"num_peaks_20\"]) * (data[\"num_peaks_20\"]))) - (data[\"ffti_abs_percentile_1\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i294\"] = 0.010000*np.tanh((((((((data[\"ffti_autocorrelation_10000\"]) + (((((((((((data[\"std_roll_mean_10000\"]) * (((data[\"ffti_autocorrelation_1000\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))/2.0)) * 2.0)) * 2.0)) \n        v[\"i295\"] = 0.010000*np.tanh(((((((data[\"fftr_time_rev_asym_stat_50\"]) * (((data[\"fftr_abs_max\"]) - ((((8.0)) * (((((data[\"Hann_window_mean_150\"]) - (data[\"autocorrelation_50\"]))) * 2.0)))))))) * 2.0)) * 2.0)) \n        v[\"i296\"] = 0.010000*np.tanh(((((((((data[\"percentile_40\"]) * (data[\"ffti_autocorrelation_100\"]))) * 2.0)) * 2.0)) + (((data[\"ffti_percentile_roll_std_40\"]) + ((((((data[\"ffti_percentile_roll_std_40\"]) + (data[\"ffti_percentile_roll_std_40\"]))/2.0)) * (data[\"ffti_autocorrelation_100\"]))))))) \n        v[\"i297\"] = 0.010000*np.tanh(((((((((((data[\"autocorrelation_5\"]) + (((((((((((data[\"autocorrelation_5\"]) + (data[\"fftr_min_roll_std_100\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i298\"] = 0.010000*np.tanh(((((((((data[\"fftr_min_roll_std_500\"]) + (((data[\"fftr_percentile_25\"]) - (((data[\"max_to_min\"]) * 2.0)))))) + (data[\"ffti_autocorrelation_5\"]))) * 2.0)) + (((data[\"ffti_autocorrelation_5\"]) - (data[\"ffti_min_roll_std_100\"]))))) \n        v[\"i299\"] = 0.010000*np.tanh(((((((((((((((((((data[\"ffti_range_2000_3000\"]) * (((data[\"min_roll_std_500\"]) - (data[\"abs_max_roll_std_100\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i300\"] = 0.010000*np.tanh(((((((((((((data[\"autocorrelation_50\"]) + (data[\"ffti_percentile_roll_std_1\"]))) + (data[\"percentile_roll_std_5\"]))) * 2.0)) * 2.0)) + (((((data[\"percentile_roll_std_5\"]) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i301\"] = 0.010000*np.tanh(((((data[\"fftr_min_roll_std_50\"]) * (((((data[\"fftr_percentile_roll_mean_50\"]) - (((((data[\"ffti_mean\"]) / 2.0)) * 2.0)))) - (((((data[\"ffti_mean\"]) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i302\"] = 0.010000*np.tanh(((((data[\"mean_first_10000\"]) + (((((data[\"fftr_ave_roll_mean_10\"]) + (((((((data[\"mean_first_10000\"]) * 2.0)) * (((data[\"mean_last_1000\"]) * 2.0)))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i303\"] = 0.010000*np.tanh(((((((((((data[\"mean_last_1000\"]) * (((((((data[\"autocorrelation_10000\"]) + (data[\"ffti_max_roll_mean_100\"]))) * 2.0)) + (data[\"mean_last_1000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i304\"] = 0.010000*np.tanh(((((data[\"autocorrelation_1000\"]) + (((((((data[\"autocorrelation_500\"]) * (((((data[\"percentile_roll_mean_40\"]) + (((data[\"ffti_percentile_75\"]) * 2.0)))) * 2.0)))) * 2.0)) * 2.0)))) + (data[\"autocorrelation_5\"]))) \n        v[\"i305\"] = 0.010000*np.tanh(((((((((data[\"fftr_time_rev_asym_stat_50\"]) + (((((((data[\"percentile_75\"]) - (data[\"num_peaks_50\"]))) * 2.0)) * 2.0)))) * 2.0)) + (data[\"fftr_time_rev_asym_stat_50\"]))) * 2.0)) \n        v[\"i306\"] = 0.010000*np.tanh(((((((((((data[\"ffti_exp_Moving_average_50000_mean\"]) * (((((data[\"ffti_percentile_roll_mean_90\"]) - (data[\"fftr_mean_last_50000\"]))) - (((data[\"fftr_abs_percentile_1\"]) + (data[\"autocorrelation_1000\"]))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i307\"] = 0.010000*np.tanh(((data[\"fftr_percentile_roll_std_20\"]) * (((((((((((((((data[\"mean_change_rate\"]) + (data[\"mean_change_rate_first_10000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - ((-1.0*((data[\"mean_change_rate_first_10000\"])))))))) \n        v[\"i308\"] = 0.010000*np.tanh(((((((data[\"exp_Moving_average_50000_std\"]) * 2.0)) * 2.0)) * (((((data[\"ffti_ave_roll_mean_10000\"]) - (data[\"autocorrelation_1000\"]))) + (((data[\"fftr_std_roll_mean_50\"]) - (((data[\"exp_Moving_average_50000_std\"]) - (data[\"classic_sta_lta2_mean\"]))))))))) \n        v[\"i309\"] = 0.010000*np.tanh(((((((((((((((((data[\"fftr_percentile_roll_mean_20\"]) * (((data[\"ffti_autocorrelation_100\"]) + (data[\"percentile_roll_std_80\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i310\"] = 0.010000*np.tanh(((((data[\"mean_first_1000\"]) * (((data[\"percentile_roll_std_5\"]) * 2.0)))) + (((((data[\"ffti_exp_Moving_average_3000_std\"]) + (((data[\"fftr_mean_first_1000\"]) * (((data[\"ffti_autocorrelation_50\"]) + (data[\"fftr_mean_first_1000\"]))))))) * 2.0)))) \n        v[\"i311\"] = 0.010000*np.tanh(((data[\"mean_first_10000\"]) * ((((((((((((data[\"fftr_autocorrelation_500\"]) + (((((data[\"fftr_max_roll_mean_50\"]) + (data[\"mean_change_rate_last_10000\"]))) * 2.0)))) * 2.0)) * 2.0)) + (data[\"mean_change_rate_last_10000\"]))/2.0)) * 2.0)))) \n        v[\"i312\"] = 0.010000*np.tanh(((((data[\"fftr_num_peaks_100\"]) * (((((((((((((data[\"fftr_mean_last_1000\"]) * 2.0)) - (data[\"percentile_50\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i313\"] = 0.010000*np.tanh(((((((data[\"fftr_ave10\"]) - (((data[\"fftr_time_rev_asym_stat_5\"]) * (((data[\"fftr_time_rev_asym_stat_50\"]) + (((data[\"percentile_80\"]) + (((data[\"percentile_80\"]) + (data[\"hmean\"]))))))))))) * 2.0)) * 2.0)) \n        v[\"i314\"] = 0.010000*np.tanh(((((data[\"min_roll_std_1000\"]) + (((data[\"ffti_std_roll_std_1000\"]) + (((((((data[\"min_roll_std_1000\"]) * (((data[\"autocorrelation_50\"]) - (data[\"autocorrelation_5\"]))))) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i315\"] = 0.010000*np.tanh(((((((((((data[\"autocorrelation_5\"]) - (data[\"ffti_percentile_roll_std_30\"]))) * 2.0)) + (((data[\"fftr_min_roll_std_50\"]) + (((data[\"fftr_num_peaks_50\"]) * (data[\"fftr_min_roll_std_50\"]))))))) * 2.0)) * 2.0)) \n        v[\"i316\"] = 0.010000*np.tanh(((((((data[\"ffti_autocorrelation_100\"]) + (data[\"classic_sta_lta3_mean\"]))) * (((data[\"ffti_min_roll_mean_10000\"]) + (((((data[\"ffti_num_peaks_20\"]) + (data[\"ffti_min_roll_mean_10000\"]))) * 2.0)))))) * 2.0)) \n        v[\"i317\"] = 0.010000*np.tanh(((((((((((((((data[\"percentile_roll_std_1\"]) + (data[\"ffti_percentile_roll_mean_50\"]))) * 2.0)) * 2.0)) + (((data[\"ffti_mean_change_rate\"]) * (data[\"percentile_roll_std_1\"]))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i318\"] = 0.010000*np.tanh(((((((((((((data[\"exp_Moving_average_50000_std\"]) * ((((((data[\"av_change_abs_roll_mean_10\"]) + (data[\"fftr_percentile_roll_mean_70\"]))/2.0)) - (data[\"autocorrelation_1000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i319\"] = 0.010000*np.tanh(((((((((((data[\"percentile_90\"]) * (((data[\"fftr_range_2000_3000\"]) - (data[\"autocorrelation_5\"]))))) * 2.0)) + (data[\"percentile_roll_std_5\"]))) * 2.0)) * 2.0)) \n        v[\"i320\"] = 0.010000*np.tanh(((((((data[\"mean_last_10000\"]) * 2.0)) * ((((((((((-1.0*((((data[\"fftr_min_roll_std_1000\"]) * 2.0))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i321\"] = 0.010000*np.tanh((((((((-1.0*((((data[\"autocorrelation_5\"]) * 2.0))))) * 2.0)) * (((data[\"ffti_count_big\"]) * 2.0)))) + (((data[\"ffti_autocorrelation_5000\"]) + (data[\"ffti_std_roll_mean_10000\"]))))) \n        v[\"i322\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_std_1000\"]) / 2.0)) * ((-1.0*((((((((((((((((data[\"med\"]) * 2.0)) - (data[\"ffti_min_roll_std_1000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0))))))) \n        v[\"i323\"] = 0.010000*np.tanh((((((((data[\"percentile_roll_std_70\"]) + (((((data[\"ffti_autocorrelation_5000\"]) * (((data[\"fftr_mean_last_1000\"]) + ((((((data[\"fftr_mean_last_1000\"]) * 2.0)) + (data[\"ffti_autocorrelation_5000\"]))/2.0)))))) * 2.0)))/2.0)) * 2.0)) * 2.0)) \n        v[\"i324\"] = 0.010000*np.tanh(((((data[\"fftr_abs_percentile_1\"]) + (((((((((((((((((data[\"ffti_autocorrelation_50\"]) * (data[\"ffti_num_peaks_50\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i325\"] = 0.010000*np.tanh(((((((((((data[\"ffti_av_change_abs_roll_std_10000\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * (((data[\"av_change_abs_roll_mean_10000\"]) + ((((((data[\"fftr_abs_max_roll_mean_10\"]) + (data[\"av_change_rate_roll_mean_500\"]))) + (data[\"fftr_abs_max_roll_mean_10\"]))/2.0)))))) \n        v[\"i326\"] = 0.010000*np.tanh(((data[\"ffti_autocorrelation_10\"]) * (((((((data[\"ffti_exp_Moving_average_50000_std\"]) + (data[\"fftr_mean_first_10000\"]))) - (data[\"ffti_mean_change_abs\"]))) - (((data[\"ffti_mean_change_abs\"]) - (data[\"fftr_abs_percentile_10\"]))))))) \n        v[\"i327\"] = 0.010000*np.tanh(((((((((((((data[\"percentile_roll_std_60\"]) * (data[\"ffti_autocorrelation_5\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (((((data[\"percentile_roll_std_60\"]) * 2.0)) * 2.0)))) \n        v[\"i328\"] = 0.010000*np.tanh((((((((((-1.0*((((data[\"ffti_abs_percentile_1\"]) - ((-1.0*((((data[\"fftr_Hann_window_mean_1500\"]) - (data[\"fftr_num_peaks_100\"]))))))))))) * (((data[\"ffti_sum\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i329\"] = 0.010000*np.tanh(((((((((((((((((((data[\"ffti_percentile_roll_std_30\"]) * (((data[\"fftr_classic_sta_lta5_mean\"]) + (data[\"ffti_percentile_roll_std_30\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i330\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_min_roll_std_10000\"]) * (((data[\"ffti_av_change_abs_roll_mean_100\"]) + (data[\"fftr_abs_percentile_1\"]))))) * 2.0)) - (data[\"fftr_min_roll_mean_10\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i331\"] = 0.010000*np.tanh(((((((((((data[\"fftr_percentile_roll_mean_20\"]) * 2.0)) * 2.0)) * ((14.60076618194580078)))) * (data[\"fftr_min_roll_std_10000\"]))) + (((((data[\"percentile_roll_std_5\"]) * (data[\"percentile_roll_std_40\"]))) * (data[\"percentile_roll_std_5\"]))))) \n        v[\"i332\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_10\"]) * 2.0)) + (((((((((((((data[\"min_roll_std_10\"]) * 2.0)) * 2.0)) - (data[\"percentile_roll_std_5\"]))) * 2.0)) - (data[\"percentile_roll_std_5\"]))) * 2.0)))) * 2.0)) \n        v[\"i333\"] = 0.010000*np.tanh(((((((((data[\"mean_change_rate_last_50000\"]) + (((((((data[\"ffti_mean_change_abs\"]) * (((data[\"fftr_mean_last_1000\"]) + (data[\"fftr_abs_percentile_1\"]))))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i334\"] = 0.010000*np.tanh(((((data[\"percentile_roll_std_70\"]) + (((((((((data[\"ffti_percentile_roll_std_20\"]) - (((data[\"min_roll_std_1000\"]) * (((data[\"autocorrelation_5\"]) + (data[\"ffti_percentile_roll_std_5\"]))))))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i335\"] = 0.010000*np.tanh(((((((((((data[\"mean_first_10000\"]) * (((((data[\"ffti_percentile_roll_std_20\"]) + (((data[\"mean_change_rate_last_10000\"]) + (data[\"abs_percentile_40\"]))))) + (data[\"fftr_abs_percentile_99\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i336\"] = 0.010000*np.tanh(((((((data[\"ffti_autocorrelation_5000\"]) + (((((((((((data[\"exp_Moving_average_30000_std\"]) * (data[\"ffti_ave_roll_mean_10000\"]))) * 2.0)) * 2.0)) + (data[\"autocorrelation_5\"]))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i337\"] = 0.010000*np.tanh(((((data[\"ffti_ave_roll_mean_100\"]) + (((((data[\"ffti_exp_Moving_average_30000_std\"]) * (((((data[\"fftr_autocorrelation_10\"]) * 2.0)) * 2.0)))) + (((data[\"fftr_av_change_abs_roll_mean_1000\"]) * (data[\"fftr_time_rev_asym_stat_5\"]))))))) * 2.0)) \n        v[\"i338\"] = 0.010000*np.tanh(((((((data[\"ffti_Hann_window_mean_150\"]) * (((data[\"fftr_percentile_roll_mean_40\"]) * 2.0)))) * 2.0)) + (((((data[\"percentile_roll_mean_5\"]) * (((data[\"fftr_mean_first_1000\"]) * 2.0)))) + (data[\"fftr_percentile_roll_mean_40\"]))))) \n        v[\"i339\"] = 0.010000*np.tanh(((((((((data[\"autocorrelation_100\"]) * (((data[\"fftr_hmean\"]) - (data[\"percentile_80\"]))))) * 2.0)) * 2.0)) - (((data[\"fftr_min_roll_std_10000\"]) * ((11.48147773742675781)))))) \n        v[\"i340\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_std_60\"]) * (((((((((data[\"ffti_exp_Moving_average_50000_mean\"]) - (data[\"ffti_mean_last_10000\"]))) * 2.0)) - (data[\"percentile_roll_mean_80\"]))) - (data[\"percentile_roll_mean_80\"]))))) * 2.0)) * 2.0)) \n        v[\"i341\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_autocorrelation_10000\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (data[\"std_roll_mean_10000\"]))) * (((data[\"fftr_range_-4000_-3000\"]) + (data[\"ffti_percentile_roll_mean_5\"]))))) \n        v[\"i342\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_percentile_roll_std_25\"]) + (((((data[\"fftr_percentile_50\"]) + (data[\"ffti_autocorrelation_100\"]))) * (data[\"ffti_autocorrelation_100\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i343\"] = 0.010000*np.tanh(((((((data[\"fftr_abs_max_roll_mean_500\"]) + (((data[\"percentile_roll_std_5\"]) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i344\"] = 0.010000*np.tanh((-1.0*((((((data[\"classic_sta_lta8_mean\"]) * (((((data[\"ffti_percentile_roll_mean_90\"]) - (((data[\"classic_sta_lta4_mean\"]) + (((data[\"fftr_time_rev_asym_stat_1\"]) + (data[\"classic_sta_lta8_mean\"]))))))) * 2.0)))) * 2.0))))) \n        v[\"i345\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_range_3000_4000\"]) * (data[\"mean_first_1000\"]))) - (data[\"ffti_autocorrelation_10\"]))) * 2.0)) + (data[\"fftr_time_rev_asym_stat_5\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i346\"] = 0.010000*np.tanh(((data[\"percentile_60\"]) + (((((((((data[\"std_roll_mean_10000\"]) * (((data[\"ffti_spkt_welch_density_1\"]) - (data[\"fftr_autocorrelation_5000\"]))))) * 2.0)) + (((data[\"autocorrelation_5\"]) * 2.0)))) * 2.0)))) \n        v[\"i347\"] = 0.010000*np.tanh(((((((((((((data[\"percentile_roll_std_5\"]) * 2.0)) * 2.0)) + (data[\"fftr_mean_first_1000\"]))) * (((data[\"fftr_abs_max_roll_mean_1000\"]) - (((data[\"ffti_av_change_abs_roll_std_10000\"]) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i348\"] = 0.010000*np.tanh(((data[\"percentile_roll_mean_99\"]) + (((((data[\"med\"]) * (((data[\"fftr_min_first_1000\"]) - (((((((data[\"fftr_min_roll_std_1000\"]) * (data[\"percentile_roll_mean_99\"]))) * 2.0)) * 2.0)))))) * 2.0)))) \n        v[\"i349\"] = 0.010000*np.tanh(((((((((((data[\"fftr_abs_percentile_1\"]) * 2.0)) * 2.0)) + (((((data[\"fftr_abs_percentile_1\"]) - (data[\"ffti_autocorrelation_10000\"]))) + (data[\"fftr_exp_Moving_average_300_std\"]))))) + (data[\"mean_change_rate_last_10000\"]))) * 2.0)) \n        v[\"i350\"] = 0.010000*np.tanh(((((data[\"ffti_autocorrelation_10000\"]) + (((((((data[\"mean_change_rate_first_10000\"]) + (((data[\"mean_change_rate_first_10000\"]) + (data[\"mean_change_rate_first_10000\"]))))) + (data[\"ffti_autocorrelation_10000\"]))) - (((data[\"ffti_num_peaks_100\"]) * 2.0)))))) * 2.0)) \n        v[\"i351\"] = 0.010000*np.tanh(((((((((((data[\"ffti_Hann_window_mean_15000\"]) + (((((((data[\"fftr_time_rev_asym_stat_5\"]) * (((data[\"ffti_Hann_window_mean_15000\"]) - (data[\"fftr_time_rev_asym_stat_100\"]))))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i352\"] = 0.010000*np.tanh(((((((((data[\"fftr_percentile_50\"]) * (data[\"fftr_num_peaks_100\"]))) - (data[\"ffti_av_change_abs_roll_std_100\"]))) + (((((((data[\"ffti_percentile_roll_std_25\"]) * (data[\"fftr_num_peaks_50\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i353\"] = 0.010000*np.tanh(((((((((((data[\"av_change_abs_roll_mean_500\"]) - (((((data[\"av_change_abs_roll_mean_500\"]) * (data[\"fftr_min_roll_std_10\"]))) * 2.0)))) * 2.0)) * 2.0)) - (data[\"fftr_min_roll_std_10\"]))) * 2.0)) \n        v[\"i354\"] = 0.010000*np.tanh(((((((((((((((((data[\"av_change_abs_roll_mean_100\"]) * ((-1.0*((data[\"fftr_mean_last_1000\"])))))) + (data[\"abs_max_roll_mean_100\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i355\"] = 0.010000*np.tanh(((((((((((((((((data[\"av_change_abs_roll_std_10\"]) * 2.0)) + (((((data[\"fftr_autocorrelation_100\"]) * (data[\"fftr_min_roll_std_50\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i356\"] = 0.010000*np.tanh(((data[\"fftr_abs_percentile_1\"]) + (((((((((data[\"percentile_20\"]) + (data[\"fftr_min_roll_std_10\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i357\"] = 0.010000*np.tanh(((data[\"fftr_autocorrelation_10000\"]) * (((((((((((((data[\"fftr_min_roll_mean_500\"]) * 2.0)) + (((((data[\"ffti_mean_change_abs\"]) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i358\"] = 0.010000*np.tanh(((((((((data[\"fftr_num_peaks_100\"]) - (data[\"ffti_abs_percentile_1\"]))) * (data[\"ffti_sum\"]))) * 2.0)) * 2.0)) \n        v[\"i359\"] = 0.010000*np.tanh(((((((((((data[\"ffti_exp_Moving_average_3000_std\"]) + (((((((((data[\"percentile_90\"]) * (data[\"ffti_autocorrelation_5\"]))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i360\"] = 0.010000*np.tanh(((((data[\"autocorrelation_50\"]) * (((((((((data[\"percentile_roll_std_25\"]) - (data[\"percentile_50\"]))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i361\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_std_50\"]) * 2.0)) + (((data[\"ffti_autocorrelation_50\"]) * (((((((data[\"fftr_max_roll_mean_10000\"]) * 2.0)) * 2.0)) * 2.0)))))) + (data[\"ffti_autocorrelation_50\"]))) \n        v[\"i362\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_std_20\"]) * 2.0)) - (((data[\"ffti_med\"]) * (((((((((((data[\"autocorrelation_10000\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i363\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_1000\"]) - (((((data[\"fftr_time_rev_asym_stat_50\"]) * (((((data[\"ave_roll_mean_100\"]) + (data[\"fftr_time_rev_asym_stat_50\"]))) + ((-1.0*((data[\"ffti_abs_percentile_1\"])))))))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i364\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_mean_40\"]) - (((((((data[\"fftr_percentile_roll_mean_40\"]) * 2.0)) * (((data[\"ffti_av_change_abs_roll_mean_10\"]) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i365\"] = 0.010000*np.tanh((((((data[\"fftr_mean_first_1000\"]) + (data[\"abs_percentile_50\"]))/2.0)) + ((((-1.0*((data[\"fftr_mean_first_1000\"])))) * (((((data[\"ffti_min_roll_std_1000\"]) * 2.0)) * 2.0)))))) \n        v[\"i366\"] = 0.010000*np.tanh(((((((((((((((((data[\"av_change_abs_roll_mean_500\"]) + (((data[\"ffti_skew\"]) * 2.0)))) - (data[\"fftr_min_roll_std_500\"]))) - (data[\"ffti_mean_change_rate\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i367\"] = 0.010000*np.tanh(((((((data[\"fftr_min_roll_std_500\"]) * 2.0)) + (data[\"fftr_percentile_roll_mean_40\"]))) - (((((((((data[\"ffti_autocorrelation_50\"]) * (((data[\"percentile_75\"]) + (data[\"ffti_exp_Moving_average_3000_std\"]))))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i368\"] = 0.010000*np.tanh(((((((((((data[\"num_peaks_100\"]) * (data[\"min_roll_std_10\"]))) * 2.0)) + (((((((data[\"num_peaks_100\"]) * (data[\"fftr_abs_max_roll_mean_10000\"]))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i369\"] = 0.010000*np.tanh(((((((data[\"ffti_percentile_roll_std_10\"]) * 2.0)) * 2.0)) + (((data[\"ffti_min_roll_mean_10000\"]) * (((((((((((data[\"classic_sta_lta3_mean\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i370\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_percentile_roll_mean_25\"]) * 2.0)) - (data[\"ffti_percentile_roll_std_5\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * (((((data[\"ffti_percentile_roll_std_40\"]) * 2.0)) * 2.0)))) \n        v[\"i371\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_roll_mean_50\"]) + ((-1.0*((((data[\"autocorrelation_50\"]) * (((((((data[\"Hann_window_mean_1500\"]) + (((data[\"autocorrelation_10000\"]) * (data[\"percentile_80\"]))))) * 2.0)) * 2.0))))))))) * 2.0)) \n        v[\"i372\"] = 0.010000*np.tanh(((((((((data[\"fftr_percentile_roll_std_50\"]) + (((((((data[\"autocorrelation_10000\"]) * (((data[\"fftr_time_rev_asym_stat_50\"]) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i373\"] = 0.010000*np.tanh(((((((data[\"av_change_abs_roll_std_10\"]) + (((((((data[\"ffti_kstat_1\"]) * (((((data[\"percentile_60\"]) + (data[\"ffti_max_to_min\"]))) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i374\"] = 0.010000*np.tanh(((data[\"fftr_range_-3000_-2000\"]) * (((((((((((data[\"percentile_60\"]) + (data[\"fftr_hmean\"]))) + (data[\"autocorrelation_50\"]))) * 2.0)) * 2.0)) + (((((data[\"percentile_60\"]) * 2.0)) * 2.0)))))) \n        v[\"i375\"] = 0.010000*np.tanh(((((((((data[\"fftr_percentile_roll_std_5\"]) * 2.0)) * (((data[\"ffti_num_peaks_100\"]) + (((((data[\"ffti_av_change_abs_roll_std_500\"]) + (((data[\"ffti_av_change_abs_roll_std_500\"]) + (data[\"percentile_roll_std_40\"]))))) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i376\"] = 0.010000*np.tanh(((((data[\"std_roll_mean_10000\"]) + (((((((((((data[\"fftr_autocorrelation_10000\"]) * 2.0)) * (data[\"ffti_min_roll_std_10\"]))) - (data[\"ffti_av_change_abs_roll_std_100\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i377\"] = 0.010000*np.tanh(((((data[\"ffti_abs_percentile_1\"]) * 2.0)) * (((((data[\"ffti_av_change_abs_roll_mean_100\"]) - (((data[\"num_peaks_100\"]) - (data[\"ffti_av_change_abs_roll_mean_100\"]))))) - (data[\"num_peaks_100\"]))))) \n        v[\"i378\"] = 0.010000*np.tanh(((((((((((((data[\"max_to_min\"]) * (data[\"fftr_percentile_roll_std_20\"]))) * 2.0)) + (data[\"ffti_percentile_roll_std_5\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i379\"] = 0.010000*np.tanh(((((data[\"min_roll_std_100\"]) + (((((((data[\"min_roll_std_100\"]) * (data[\"fftr_time_rev_asym_stat_10\"]))) * 2.0)) * 2.0)))) + (((data[\"classic_sta_lta4_mean\"]) * (((data[\"fftr_min_first_1000\"]) - (data[\"fftr_min_first_1000\"]))))))) \n        v[\"i380\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_std_70\"]) * 2.0)) + (((data[\"mean_change_rate_first_10000\"]) * 2.0)))) * 2.0)) * 2.0)) + (((data[\"fftr_min_roll_std_500\"]) * 2.0)))) \n        v[\"i381\"] = 0.010000*np.tanh(((((data[\"fftr_num_peaks_100\"]) + (data[\"fftr_num_peaks_100\"]))) + (((data[\"fftr_num_peaks_100\"]) - (((data[\"exp_Moving_average_300_mean\"]) * ((((11.06118297576904297)) * (((data[\"ffti_med\"]) + (data[\"fftr_num_peaks_100\"]))))))))))) \n        v[\"i382\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_percentile_80\"]) * (((((data[\"autocorrelation_500\"]) * 2.0)) * 2.0)))) + (data[\"mean_last_1000\"]))) * 2.0)) + (data[\"fftr_max_roll_mean_1000\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i383\"] = 0.010000*np.tanh(((data[\"fftr_percentile_roll_mean_50\"]) + (((((((((((((data[\"fftr_autocorrelation_10\"]) * 2.0)) * 2.0)) * (((data[\"ffti_exp_Moving_average_300_std\"]) + (data[\"skew\"]))))) * 2.0)) + (data[\"ffti_av_change_abs_roll_std_500\"]))) * 2.0)))) \n        v[\"i384\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_percentile_roll_std_20\"]) - (((data[\"ffti_autocorrelation_500\"]) * (data[\"ffti_exp_Moving_average_50000_std\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (data[\"ffti_exp_Moving_average_50000_std\"]))) \n        v[\"i385\"] = 0.010000*np.tanh(((((data[\"percentile_roll_mean_99\"]) + (((((data[\"fftr_abs_percentile_1\"]) * (((((((data[\"exp_Moving_average_50000_std\"]) * 2.0)) * 2.0)) * 2.0)))) * (((data[\"ffti_num_peaks_100\"]) * 2.0)))))) + (data[\"fftr_time_rev_asym_stat_5\"]))) \n        v[\"i386\"] = 0.010000*np.tanh(((((((((data[\"exp_Moving_average_30000_std\"]) + (((data[\"percentile_roll_std_40\"]) * 2.0)))) + (((data[\"percentile_roll_std_30\"]) + (data[\"exp_Moving_average_30000_std\"]))))) + (((data[\"percentile_roll_std_30\"]) * 2.0)))) * 2.0)) \n        v[\"i387\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_25\"]) * 2.0)) + (((((data[\"std_roll_std_10\"]) - ((((((-1.0*((((data[\"percentile_25\"]) * 2.0))))) * 2.0)) * 2.0)))) * (data[\"ffti_num_peaks_100\"]))))) * 2.0)) \n        v[\"i388\"] = 0.010000*np.tanh(((data[\"ffti_autocorrelation_10000\"]) + (((((((((((((((data[\"autocorrelation_10000\"]) * 2.0)) * (((data[\"ffti_av_change_abs_roll_std_10\"]) - (data[\"ffti_med\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i389\"] = 0.010000*np.tanh(((((((((data[\"classic_sta_lta8_mean\"]) + (data[\"fftr_c3_1000\"]))) + (((((data[\"fftr_time_rev_asym_stat_50\"]) * ((((-1.0*((data[\"max_to_min\"])))) - (data[\"fftr_time_rev_asym_stat_5\"]))))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i390\"] = 0.010000*np.tanh(((((((((((data[\"ffti_av_change_abs_roll_std_10\"]) * (((data[\"fftr_percentile_roll_mean_80\"]) * 2.0)))) * 2.0)) * 2.0)) + (((data[\"ffti_max_to_min\"]) * (((((data[\"fftr_autocorrelation_5000\"]) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i391\"] = 0.010000*np.tanh(((((((((((((data[\"autocorrelation_50\"]) * (data[\"percentile_roll_std_5\"]))) * 2.0)) * 2.0)) * 2.0)) + (((((data[\"percentile_roll_std_5\"]) + (((data[\"autocorrelation_50\"]) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i392\"] = 0.010000*np.tanh((((((((((((((-1.0*((((((((data[\"fftr_percentile_roll_mean_40\"]) * (data[\"ffti_av_change_abs_roll_mean_10\"]))) * 2.0)) * 2.0))))) * 2.0)) * 2.0)) * 2.0)) + (data[\"fftr_percentile_roll_mean_40\"]))) * 2.0)) * 2.0)) \n        v[\"i393\"] = 0.010000*np.tanh(((((((((((((data[\"abs_percentile_40\"]) - (data[\"fftr_percentile_roll_mean_50\"]))) * 2.0)) - (data[\"fftr_autocorrelation_100\"]))) * (data[\"percentile_roll_std_70\"]))) * 2.0)) * 2.0)) \n        v[\"i394\"] = 0.010000*np.tanh(((((((data[\"abs_percentile_80\"]) * (((data[\"max_first_1000\"]) + (((((data[\"autocorrelation_500\"]) + (data[\"ffti_mean_change_rate\"]))) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i395\"] = 0.010000*np.tanh(((((((data[\"ffti_exp_Moving_average_3000_std\"]) + (((((((data[\"percentile_roll_std_5\"]) + (data[\"ffti_exp_Moving_average_3000_std\"]))) + (((data[\"percentile_roll_std_80\"]) * 2.0)))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i396\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_autocorrelation_50\"]) * 2.0)) * 2.0)) * (data[\"fftr_mean_last_10000\"]))) * 2.0)) * 2.0)) * 2.0)) + (((data[\"ffti_mean_last_1000\"]) + (data[\"fftr_mean_last_10000\"]))))) \n        v[\"i397\"] = 0.010000*np.tanh(((((((((((data[\"iqr\"]) + (data[\"fftr_percentile_25\"]))) + (((((data[\"abs_percentile_75\"]) * (data[\"mean_last_1000\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i398\"] = 0.010000*np.tanh(((((((((data[\"classic_sta_lta4_mean\"]) * (((data[\"ffti_min_first_1000\"]) + (data[\"ffti_min_first_1000\"]))))) * 2.0)) + (((data[\"fftr_time_rev_asym_stat_5\"]) * ((((-1.0*((data[\"fftr_exp_Moving_average_50000_mean\"])))) * 2.0)))))) * 2.0)) \n        v[\"i399\"] = 0.010000*np.tanh(((((data[\"ffti_std_first_1000\"]) - (((((((((data[\"fftr_num_peaks_100\"]) * (((((((data[\"ffti_av_change_abs_roll_std_100\"]) * 2.0)) * 2.0)) + (data[\"sum\"]))))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i400\"] = 0.010000*np.tanh(((((((data[\"trend\"]) + (((((((data[\"ffti_min_roll_std_100\"]) * (((data[\"ffti_percentile_roll_mean_20\"]) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i401\"] = 0.010000*np.tanh(((((((data[\"ffti_min_roll_std_10\"]) * (((((data[\"percentile_roll_mean_99\"]) + (data[\"fftr_autocorrelation_50\"]))) + (data[\"autocorrelation_500\"]))))) + (data[\"ffti_av_change_abs_roll_std_500\"]))) * 2.0)) \n        v[\"i402\"] = 0.010000*np.tanh(((((((((data[\"fftr_min_roll_mean_50\"]) * 2.0)) + (((((data[\"min_roll_std_50\"]) * 2.0)) * (((((data[\"autocorrelation_50\"]) - (data[\"fftr_range_2000_3000\"]))) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i403\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_30\"]) - (((data[\"fftr_time_rev_asym_stat_10\"]) * (((((data[\"ffti_mean_change_abs\"]) * 2.0)) * 2.0)))))) - (((data[\"fftr_min_roll_mean_50\"]) * (((data[\"ffti_mean_change_abs\"]) * 2.0)))))) \n        v[\"i404\"] = 0.010000*np.tanh(((((((((data[\"ffti_av_change_abs_roll_mean_50\"]) + (((((((data[\"fftr_min_roll_std_500\"]) * (((data[\"autocorrelation_1000\"]) + (((data[\"ffti_av_change_abs_roll_mean_50\"]) * 2.0)))))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i405\"] = 0.010000*np.tanh(((data[\"max_to_min\"]) + (((((((((((data[\"ffti_max_roll_mean_50\"]) - (((data[\"ffti_percentile_roll_std_50\"]) * 2.0)))) * 2.0)) * 2.0)) * (((data[\"Hann_window_mean_1500\"]) * 2.0)))) * 2.0)))) \n        v[\"i406\"] = 0.010000*np.tanh(((((((((((((((((((data[\"fftr_kurt\"]) * (data[\"ffti_num_peaks_10\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i407\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_autocorrelation_50\"]) + (data[\"ffti_autocorrelation_50\"]))) + (((data[\"fftr_range_2000_3000\"]) + (data[\"fftr_range_2000_3000\"]))))) + (data[\"mean_last_1000\"]))) * (data[\"mean_last_1000\"]))) * 2.0)) * 2.0)) \n        v[\"i408\"] = 0.010000*np.tanh(((((((((((((data[\"kurt\"]) - (((data[\"ffti_autocorrelation_10000\"]) * 2.0)))) * (data[\"fftr_percentile_40\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i409\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_50\"]) * (((((((((((((data[\"abs_percentile_80\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i410\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_av_change_abs_roll_std_10000\"]) * ((-1.0*((data[\"percentile_roll_std_1\"])))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i411\"] = 0.010000*np.tanh(((((data[\"fftr_time_rev_asym_stat_5\"]) * 2.0)) * (((((((data[\"ffti_med\"]) + (((data[\"ffti_autocorrelation_1000\"]) * 2.0)))) - (data[\"ffti_min_roll_std_50\"]))) - (((data[\"abs_percentile_60\"]) - (data[\"ffti_max_to_min\"]))))))) \n        v[\"i412\"] = 0.010000*np.tanh(((((((((data[\"exp_Moving_average_30000_std\"]) * 2.0)) * ((-1.0*((((((data[\"exp_Moving_average_30000_std\"]) * 2.0)) + (((((((data[\"autocorrelation_1000\"]) * 2.0)) * 2.0)) * 2.0))))))))) * 2.0)) * 2.0)) \n        v[\"i413\"] = 0.010000*np.tanh(((((((data[\"classic_sta_lta4_mean\"]) * 2.0)) + (data[\"ffti_exp_Moving_average_30000_std\"]))) * (((((data[\"fftr_autocorrelation_10000\"]) - (data[\"min_roll_std_10\"]))) - (((((data[\"ffti_exp_Moving_average_30000_std\"]) - (data[\"fftr_autocorrelation_10000\"]))) * 2.0)))))) \n        v[\"i414\"] = 0.010000*np.tanh((((((((5.30953788757324219)) * (((((data[\"mean_first_10000\"]) * (((data[\"Hann_window_mean_150\"]) + (data[\"fftr_min_roll_std_1000\"]))))) * ((5.30953788757324219)))))) * 2.0)) * 2.0)) \n        v[\"i415\"] = 0.010000*np.tanh(((data[\"fftr_time_rev_asym_stat_1\"]) + (((((((data[\"fftr_exp_Moving_average_3000_mean\"]) * (data[\"ffti_autocorrelation_1000\"]))) + (((data[\"ffti_min_roll_std_1000\"]) * (((((data[\"fftr_av_change_abs_roll_mean_500\"]) * 2.0)) * 2.0)))))) * 2.0)))) \n        v[\"i416\"] = 0.010000*np.tanh(((((data[\"ffti_max_to_min\"]) + (((((((((((data[\"autocorrelation_500\"]) * (data[\"fftr_hmean\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i417\"] = 0.010000*np.tanh(((((data[\"classic_sta_lta7_mean\"]) * (((((((((((((((data[\"ffti_av_change_abs_roll_std_500\"]) * 2.0)) * 2.0)) + (data[\"autocorrelation_5000\"]))) * 2.0)) + (data[\"fftr_min_roll_std_500\"]))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i418\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_min_roll_std_50\"]) * (data[\"ffti_autocorrelation_10\"]))) - ((-1.0*((data[\"fftr_percentile_roll_std_20\"])))))) * 2.0)) * 2.0)) + (data[\"fftr_max_roll_mean_1000\"]))) * 2.0)) \n        v[\"i419\"] = 0.010000*np.tanh(((data[\"percentile_roll_std_5\"]) + (((((((((((((((((data[\"ffti_num_peaks_50\"]) * (data[\"ffti_autocorrelation_50\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i420\"] = 0.010000*np.tanh(((((((((((((data[\"percentile_roll_std_80\"]) + (((data[\"fftr_mean_first_1000\"]) * (((data[\"ffti_autocorrelation_50\"]) - (data[\"fftr_time_rev_asym_stat_1\"]))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i421\"] = 0.010000*np.tanh(((data[\"fftr_min_roll_std_1000\"]) + (((((((data[\"mean_change_rate_first_10000\"]) + (((data[\"fftr_range_3000_4000\"]) + (((data[\"percentile_60\"]) * (((data[\"fftr_range_2000_3000\"]) - (data[\"fftr_min_roll_std_1000\"]))))))))) * 2.0)) * 2.0)))) \n        v[\"i422\"] = 0.010000*np.tanh(((data[\"ffti_autocorrelation_100\"]) + (((((((data[\"ffti_exp_Moving_average_300_std\"]) + (((((((data[\"ffti_autocorrelation_100\"]) * (data[\"fftr_min_roll_std_50\"]))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i423\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_percentile_roll_std_60\"]) * 2.0)) * (((data[\"av_change_abs_roll_mean_10\"]) * 2.0)))) + (((data[\"exp_Moving_average_50000_std\"]) * (data[\"av_change_abs_roll_mean_10\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i424\"] = 0.010000*np.tanh(((((data[\"mean_change_rate_last_1000\"]) * (((data[\"num_peaks_50\"]) + ((((((((data[\"num_peaks_50\"]) + (((((data[\"fftr_time_rev_asym_stat_100\"]) * 2.0)) * 2.0)))/2.0)) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i425\"] = 0.010000*np.tanh(((((data[\"fftr_time_rev_asym_stat_100\"]) * 2.0)) + (((((((((((data[\"fftr_time_rev_asym_stat_100\"]) * 2.0)) * 2.0)) + (((data[\"autocorrelation_10000\"]) * 2.0)))) * 2.0)) * (data[\"std_roll_mean_10000\"]))))) \n        v[\"i426\"] = 0.010000*np.tanh(((((((((((((data[\"autocorrelation_10000\"]) - (data[\"percentile_25\"]))) * (((data[\"exp_Moving_average_3000_mean\"]) - (data[\"autocorrelation_10000\"]))))) - (data[\"ffti_av_change_abs_roll_std_100\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i427\"] = 0.010000*np.tanh(((((data[\"fftr_min_roll_std_10\"]) * ((-1.0*((data[\"ffti_skew\"])))))) + (((data[\"classic_sta_lta3_mean\"]) * (((((data[\"fftr_min_roll_mean_10000\"]) - (((data[\"fftr_autocorrelation_10\"]) - (data[\"classic_sta_lta3_mean\"]))))) * 2.0)))))) \n        v[\"i428\"] = 0.010000*np.tanh(((((((((data[\"ffti_trend\"]) + (((data[\"ffti_percentile_roll_mean_20\"]) * 2.0)))) * (((((((data[\"fftr_autocorrelation_5000\"]) + (data[\"ffti_trend\"]))) * 2.0)) + (data[\"fftr_time_rev_asym_stat_50\"]))))) * 2.0)) * 2.0)) \n        v[\"i429\"] = 0.010000*np.tanh(((((((((data[\"fftr_min_roll_std_500\"]) - (data[\"fftr_autocorrelation_10000\"]))) + (((((((((data[\"ffti_av_change_abs_roll_std_10000\"]) - (data[\"fftr_autocorrelation_10000\"]))) * 2.0)) * (data[\"fftr_min_roll_std_500\"]))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i430\"] = 0.010000*np.tanh(((((((((((((((((data[\"fftr_percentile_roll_mean_5\"]) * (data[\"ffti_autocorrelation_100\"]))) + (((data[\"max_to_min\"]) * (data[\"ffti_max_to_min_diff\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i431\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_min_roll_mean_50\"]) * (((((data[\"av_change_rate_roll_mean_10000\"]) + (data[\"autocorrelation_5\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i432\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_roll_mean_10\"]) + (((((((((data[\"fftr_min_roll_std_10\"]) * (((data[\"fftr_percentile_roll_mean_40\"]) - (((data[\"fftr_min_first_1000\"]) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i433\"] = 0.010000*np.tanh(((data[\"ffti_mean_change_abs\"]) * (((((((((((((data[\"min_roll_std_100\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i434\"] = 0.010000*np.tanh(((((((((data[\"abs_max_roll_mean_10000\"]) - (data[\"ffti_num_peaks_50\"]))) + (((data[\"fftr_num_peaks_50\"]) + (((data[\"abs_max_roll_mean_10000\"]) - (data[\"ffti_num_peaks_50\"]))))))) * 2.0)) * 2.0)) \n        v[\"i435\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_autocorrelation_1000\"]) * (((data[\"std_roll_mean_10000\"]) + (data[\"av_change_abs_roll_mean_50\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i436\"] = 0.010000*np.tanh(((((((((((((((data[\"min_roll_std_10\"]) - (((((data[\"ffti_autocorrelation_10000\"]) * 2.0)) * (data[\"ffti_std_roll_mean_1000\"]))))) * 2.0)) * 2.0)) * 2.0)) + (data[\"ffti_std_roll_mean_1000\"]))) * 2.0)) * 2.0)) \n        v[\"i437\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_percentile_20\"]) - (data[\"spkt_welch_density_100\"]))) * 2.0)) * (data[\"fftr_time_rev_asym_stat_1\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i438\"] = 0.010000*np.tanh(((((((((((data[\"fftr_min\"]) - (((data[\"autocorrelation_10000\"]) * (((data[\"fftr_av_change_abs_roll_std_50\"]) * 2.0)))))) - (data[\"ffti_av_change_abs_roll_std_100\"]))) * 2.0)) - (data[\"ffti_percentile_roll_std_70\"]))) * 2.0)) \n        v[\"i439\"] = 0.010000*np.tanh(((((data[\"fftr_hmean\"]) * (((((((((((((data[\"autocorrelation_500\"]) * 2.0)) * (((((data[\"mean_first_50000\"]) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i440\"] = 0.010000*np.tanh(((((data[\"fftr_time_rev_asym_stat_10\"]) + (((((data[\"percentile_roll_mean_5\"]) * (data[\"fftr_mean_first_1000\"]))) + (((data[\"fftr_time_rev_asym_stat_10\"]) + (((((data[\"ffti_av_change_abs_roll_std_500\"]) * 2.0)) * 2.0)))))))) * 2.0)) \n        v[\"i441\"] = 0.010000*np.tanh(((data[\"autocorrelation_500\"]) * (((((((((((((data[\"fftr_autocorrelation_1000\"]) + (((data[\"percentile_80\"]) + (data[\"fftr_autocorrelation_1000\"]))))) * 2.0)) + (data[\"abs_max_roll_mean_10000\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i442\"] = 0.010000*np.tanh(((((((((((((data[\"min_roll_std_500\"]) + (data[\"fftr_abs_percentile_5\"]))) + (data[\"fftr_min_roll_std_10000\"]))) * (data[\"fftr_min_roll_std_10000\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i443\"] = 0.010000*np.tanh(((((((((data[\"ffti_autocorrelation_10\"]) * (((((data[\"max_to_min\"]) + (data[\"ffti_max_first_1000\"]))) * 2.0)))) * 2.0)) * 2.0)) + (data[\"max_to_min\"]))) \n        v[\"i444\"] = 0.010000*np.tanh(((data[\"fftr_min_roll_std_10\"]) * (((((((((((((data[\"ffti_std_roll_mean_10000\"]) - (data[\"percentile_roll_std_40\"]))) - (data[\"fftr_num_peaks_100\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i445\"] = 0.010000*np.tanh(((data[\"ffti_autocorrelation_10000\"]) - (((((((((data[\"ffti_skew\"]) * 2.0)) * (data[\"fftr_min_roll_std_10\"]))) * 2.0)) * 2.0)))) \n        v[\"i446\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_sum\"]) * ((-1.0*((data[\"fftr_mean_last_10000\"])))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (data[\"fftr_mean_last_10000\"]))) * 2.0)) * 2.0)) \n        v[\"i447\"] = 0.009996*np.tanh(((((((((data[\"fftr_kstat_1\"]) + (((data[\"ffti_classic_sta_lta6_mean\"]) * ((-1.0*((((((((data[\"kurt\"]) * 2.0)) * 2.0)) * 2.0))))))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i448\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_percentile_roll_mean_30\"]) * (((((((data[\"ffti_trend\"]) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i449\"] = 0.010000*np.tanh(((((((((data[\"min_roll_std_10\"]) * (((((((((((data[\"ffti_min_roll_std_10000\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) - (data[\"max_to_min\"]))) * 2.0)) * 2.0)) \n        v[\"i450\"] = 0.010000*np.tanh(((((data[\"percentile_50\"]) * (((data[\"ffti_av_change_abs_roll_std_10000\"]) + (((((data[\"fftr_autocorrelation_5\"]) + (data[\"fftr_percentile_roll_std_25\"]))) - (((((data[\"fftr_percentile_roll_std_60\"]) * 2.0)) * 2.0)))))))) * 2.0)) \n        v[\"i451\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_std_20\"]) - ((((((((((((((-1.0*((((data[\"fftr_percentile_roll_std_20\"]) * (data[\"max_to_min\"])))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i452\"] = 0.010000*np.tanh(((((((((((((((((((((((data[\"fftr_percentile_roll_std_5\"]) * (data[\"fftr_percentile_roll_mean_40\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i453\"] = 0.010000*np.tanh(((((data[\"mean_change_rate_last_1000\"]) + (((((((((((((data[\"mean_change_rate_last_1000\"]) * (((data[\"num_peaks_50\"]) + (data[\"max_roll_mean_10000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i454\"] = 0.010000*np.tanh(((((data[\"mean_change_rate_last_10000\"]) - (((((((data[\"fftr_min_roll_std_1000\"]) * 2.0)) * 2.0)) * 2.0)))) * (((((((data[\"fftr_min_roll_std_1000\"]) * 2.0)) + (data[\"mean_change_rate_last_10000\"]))) + (data[\"ave_roll_mean_10000\"]))))) \n        v[\"i455\"] = 0.010000*np.tanh(((((((((((data[\"ffti_av_change_abs_roll_mean_50\"]) * (data[\"ffti_abs_percentile_1\"]))) + (((((data[\"ffti_av_change_abs_roll_mean_50\"]) * (((data[\"autocorrelation_1000\"]) * (data[\"percentile_roll_mean_60\"]))))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i456\"] = 0.010000*np.tanh(((((((((data[\"std_roll_mean_10000\"]) * (((data[\"autocorrelation_10000\"]) * 2.0)))) * 2.0)) * 2.0)) + (((data[\"fftr_time_rev_asym_stat_100\"]) + (data[\"percentile_75\"]))))) \n        v[\"i457\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_std_30\"]) * 2.0)) + (((data[\"ffti_kstat_1\"]) * ((((-1.0*((((((data[\"classic_sta_lta1_mean\"]) - ((-1.0*((data[\"fftr_mean_last_50000\"])))))) * 2.0))))) * 2.0)))))) * 2.0)) \n        v[\"i458\"] = 0.010000*np.tanh(((((((((data[\"percentile_roll_std_5\"]) * 2.0)) * 2.0)) + (((data[\"ffti_range_2000_3000\"]) * (((data[\"fftr_hmean\"]) + (data[\"fftr_hmean\"]))))))) * 2.0)) \n        v[\"i459\"] = 0.010000*np.tanh(((data[\"ffti_ave10\"]) * (((((((((((((((data[\"spkt_welch_density_100\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (((data[\"spkt_welch_density_100\"]) - (data[\"ffti_ave10\"]))))) * 2.0)) * 2.0)))) \n        v[\"i460\"] = 0.010000*np.tanh(((((data[\"ffti_autocorrelation_5000\"]) + (((((((data[\"min_roll_std_100\"]) * (data[\"ffti_av_change_abs_roll_mean_10000\"]))) * 2.0)) * 2.0)))) - (((((data[\"classic_sta_lta3_mean\"]) * (((data[\"ffti_std_roll_mean_10000\"]) * 2.0)))) * 2.0)))) \n        v[\"i461\"] = 0.010000*np.tanh(((((((((((((((((data[\"autocorrelation_1000\"]) * 2.0)) * 2.0)) * (data[\"ffti_mean_change_abs\"]))) * 2.0)) * 2.0)) * (data[\"ave_roll_mean_10000\"]))) * 2.0)) * 2.0)) \n        v[\"i462\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_percentile_roll_std_20\"]) * 2.0)) * 2.0)) * (((((data[\"fftr_max_first_50000\"]) - (((data[\"fftr_percentile_roll_mean_60\"]) * 2.0)))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i463\"] = 0.010000*np.tanh(((((((data[\"med\"]) * (((((data[\"autocorrelation_10\"]) * (((((data[\"spkt_welch_density_50\"]) * 2.0)) * 2.0)))) - (((data[\"ffti_mean_first_50000\"]) + (data[\"fftr_min_roll_mean_10000\"]))))))) * 2.0)) * 2.0)) \n        v[\"i464\"] = 0.010000*np.tanh(((((data[\"fftr_autocorrelation_500\"]) * 2.0)) - (((((((((((data[\"fftr_percentile_roll_std_25\"]) * (((data[\"fftr_autocorrelation_500\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i465\"] = 0.010000*np.tanh(((((data[\"autocorrelation_5\"]) + (((((data[\"autocorrelation_5\"]) + (((((((((((data[\"fftr_percentile_roll_std_10\"]) * (data[\"fftr_percentile_roll_mean_25\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i466\"] = 0.009996*np.tanh(((data[\"std_roll_mean_10000\"]) * (((((((((((((((data[\"autocorrelation_10000\"]) - (data[\"classic_sta_lta4_mean\"]))) * 2.0)) * 2.0)) - (data[\"autocorrelation_10000\"]))) * 2.0)) * 2.0)) - (data[\"classic_sta_lta4_mean\"]))))) \n        v[\"i467\"] = 0.010000*np.tanh(((((((((data[\"fftr_min_roll_std_100\"]) * 2.0)) - (((data[\"ffti_min_roll_mean_500\"]) - (((data[\"autocorrelation_5\"]) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i468\"] = 0.010000*np.tanh(((((data[\"percentile_60\"]) + (((((((((data[\"fftr_min_roll_std_10\"]) * (data[\"spkt_welch_density_100\"]))) * 2.0)) * 2.0)) * 2.0)))) + (((((data[\"fftr_min_roll_std_10\"]) * (data[\"spkt_welch_density_100\"]))) * 2.0)))) \n        v[\"i469\"] = 0.010000*np.tanh(((((data[\"fftr_mean_first_50000\"]) + (((data[\"ffti_av_change_abs_roll_std_10\"]) * (((((((data[\"ffti_min_roll_std_10\"]) + (((data[\"ffti_min_roll_std_10\"]) - (data[\"fftr_std_roll_std_10000\"]))))) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i470\"] = 0.010000*np.tanh(((((data[\"ffti_std_roll_mean_500\"]) - (((((((((((((((data[\"fftr_time_rev_asym_stat_50\"]) * (data[\"min_last_50000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i471\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_1000\"]) + (((((data[\"fftr_mean_first_1000\"]) - (data[\"fftr_ave_roll_mean_10000\"]))) * 2.0)))) * 2.0)) * (((data[\"fftr_mean_first_1000\"]) + (((data[\"percentile_roll_mean_10\"]) + (data[\"percentile_roll_mean_10\"]))))))) \n        v[\"i472\"] = 0.010000*np.tanh(((((((((((((((((data[\"autocorrelation_500\"]) + (data[\"autocorrelation_50\"]))) * 2.0)) * (data[\"fftr_hmean\"]))) + (data[\"percentile_roll_std_5\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i473\"] = 0.010000*np.tanh(((((((data[\"ffti_Hann_window_mean_150\"]) * (((data[\"ffti_Hann_window_mean_150\"]) - (((((((((data[\"fftr_abs_percentile_1\"]) * 2.0)) - (data[\"fftr_range_-3000_-2000\"]))) * 2.0)) * 2.0)))))) * 2.0)) * 2.0)) \n        v[\"i474\"] = 0.010000*np.tanh(((((((((((data[\"av_change_abs_roll_std_10\"]) - (((data[\"percentile_60\"]) * (((((data[\"fftr_min_roll_std_1000\"]) - (data[\"fftr_abs_percentile_25\"]))) - (data[\"classic_sta_lta2_mean\"]))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i475\"] = 0.010000*np.tanh(((((data[\"ffti_exp_Moving_average_3000_std\"]) + (((((((((data[\"ffti_exp_Moving_average_3000_std\"]) + (((((data[\"ffti_skew\"]) + ((-1.0*((data[\"ffti_mean_change_abs\"])))))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i476\"] = 0.010000*np.tanh(((((((((((data[\"ffti_mean_change_abs\"]) * (((data[\"fftr_abs_percentile_1\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i477\"] = 0.009996*np.tanh(((((data[\"fftr_mean_first_1000\"]) * (((data[\"ffti_mean_change_abs\"]) - (((data[\"ffti_min_roll_std_500\"]) - (data[\"autocorrelation_1000\"]))))))) * 2.0)) \n        v[\"i478\"] = 0.010000*np.tanh(((((data[\"max_first_10000\"]) + (data[\"fftr_percentile_roll_std_50\"]))) + ((-1.0*((((((data[\"ffti_mean_change_rate\"]) - (((((((data[\"fftr_num_peaks_100\"]) + (data[\"fftr_percentile_roll_std_50\"]))) * 2.0)) * 2.0)))) * 2.0))))))) \n        v[\"i479\"] = 0.010000*np.tanh(((((((((data[\"ffti_max_to_min\"]) + (data[\"fftr_time_rev_asym_stat_5\"]))) * (((((-1.0*((data[\"ffti_min_roll_std_50\"])))) + (data[\"ffti_ave10\"]))/2.0)))) * 2.0)) * 2.0)) \n        v[\"i480\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_40\"]) + (((data[\"ffti_min_roll_std_500\"]) + (data[\"ffti_min_roll_std_500\"]))))) + (data[\"ffti_min_roll_std_500\"]))) * (((((data[\"ffti_min_roll_std_500\"]) - (data[\"ffti_autocorrelation_10000\"]))) - (data[\"ffti_autocorrelation_10000\"]))))) \n        v[\"i481\"] = 0.010000*np.tanh(((((((((data[\"num_peaks_20\"]) + (((data[\"ffti_autocorrelation_10000\"]) - (data[\"ffti_mean_change_rate\"]))))) + (((((data[\"fftr_abs_percentile_10\"]) * (data[\"ffti_autocorrelation_10000\"]))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i482\"] = 0.010000*np.tanh(((((((data[\"ffti_percentile_roll_std_5\"]) + (data[\"ffti_percentile_50\"]))) + (((((((((((data[\"fftr_min_roll_std_100\"]) * (data[\"fftr_autocorrelation_5000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i483\"] = 0.010000*np.tanh(((((data[\"fftr_min_roll_std_100\"]) * ((((((((-1.0*((data[\"ffti_kstat_1\"])))) + (data[\"fftr_autocorrelation_500\"]))) * 2.0)) * 2.0)))) + (data[\"fftr_min_roll_std_100\"]))) \n        v[\"i484\"] = 0.009996*np.tanh(((((((((((((((((((data[\"ffti_percentile_roll_mean_50\"]) + (data[\"fftr_time_rev_asym_stat_50\"]))) * 2.0)) - (data[\"ffti_av_change_abs_roll_std_10\"]))) * 2.0)) * 2.0)) - (data[\"fftr_num_peaks_10\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i485\"] = 0.010000*np.tanh((((((-1.0*((((data[\"ffti_num_peaks_20\"]) * 2.0))))) * (((((data[\"ffti_max_last_1000\"]) + (data[\"ffti_num_peaks_10\"]))) + (data[\"fftr_min_roll_std_1000\"]))))) * 2.0)) \n        v[\"i486\"] = 0.010000*np.tanh(((((data[\"abs_percentile_60\"]) * (((((((data[\"ffti_num_peaks_50\"]) * 2.0)) * 2.0)) * 2.0)))) - (((data[\"ffti_num_peaks_50\"]) * 2.0)))) \n        v[\"i487\"] = 0.010000*np.tanh(((((((data[\"fftr_time_rev_asym_stat_100\"]) + (((((((((((((data[\"fftr_hmean\"]) * (data[\"fftr_abs_max_roll_mean_500\"]))) * 2.0)) + (data[\"av_change_rate_roll_mean_10\"]))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i488\"] = 0.010000*np.tanh(((((data[\"fftr_mean_first_1000\"]) * (data[\"abs_percentile_25\"]))) - (((((((((((data[\"ffti_percentile_50\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * (data[\"exp_Moving_average_30000_std\"]))))) \n        v[\"i489\"] = 0.010000*np.tanh(((data[\"classic_sta_lta6_mean\"]) * (((data[\"fftr_mean_first_50000\"]) - (((((((((((((((data[\"fftr_percentile_roll_mean_40\"]) - (data[\"fftr_num_peaks_100\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i490\"] = 0.010000*np.tanh(((((((data[\"ffti_percentile_roll_mean_30\"]) * 2.0)) + (((((((data[\"ffti_autocorrelation_500\"]) + (((data[\"exp_Moving_average_50000_std\"]) * 2.0)))) * (((data[\"ffti_percentile_roll_mean_30\"]) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i491\"] = 0.010000*np.tanh((((((data[\"ffti_exp_Moving_average_3000_std\"]) * 2.0)) + (((((data[\"autocorrelation_5000\"]) - (((((data[\"ffti_exp_Moving_average_3000_std\"]) * 2.0)) * (((((data[\"ffti_autocorrelation_10000\"]) - (data[\"std_roll_mean_10000\"]))) * 2.0)))))) * 2.0)))/2.0)) \n        v[\"i492\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_percentile_roll_std_30\"]) * (((data[\"ffti_num_peaks_100\"]) * 2.0)))) * 2.0)) + (((data[\"ffti_percentile_roll_std_30\"]) * (((data[\"ffti_kurt\"]) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i493\"] = 0.010000*np.tanh(((((((((((((((((data[\"fftr_percentile_50\"]) * (((data[\"abs_percentile_80\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (data[\"fftr_sum\"]))) * 2.0)) * 2.0)) \n        v[\"i494\"] = 0.010000*np.tanh(((((data[\"percentile_roll_mean_10\"]) * (((data[\"fftr_min_roll_std_50\"]) + (((((((data[\"mean_change_rate_first_1000\"]) * 2.0)) + (((data[\"fftr_min_roll_std_50\"]) + (data[\"mean_change_rate_first_1000\"]))))) * 2.0)))))) * 2.0)) \n        v[\"i495\"] = 0.010000*np.tanh(((((((data[\"ffti_min_roll_std_500\"]) - (data[\"ffti_max_roll_mean_50\"]))) - (((((((data[\"autocorrelation_1000\"]) - (((data[\"av_change_abs_roll_mean_10\"]) * 2.0)))) * (((data[\"exp_Moving_average_30000_std\"]) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i496\"] = 0.010000*np.tanh(((((((data[\"ffti_percentile_roll_mean_10\"]) * 2.0)) * (((((((((((((data[\"ave_roll_mean_50\"]) * (((data[\"ffti_num_peaks_50\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i497\"] = 0.010000*np.tanh(((data[\"ffti_autocorrelation_5\"]) + (((data[\"ffti_mean\"]) * (((((((data[\"ffti_ave_roll_mean_1000\"]) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i498\"] = 0.010000*np.tanh(((data[\"fftr_classic_sta_lta8_mean\"]) - (((data[\"percentile_80\"]) * (((data[\"autocorrelation_100\"]) - (((((data[\"num_peaks_20\"]) - (data[\"percentile_80\"]))) - (((data[\"fftr_autocorrelation_5000\"]) - (data[\"percentile_80\"]))))))))))) \n        v[\"i499\"] = 0.010000*np.tanh(((data[\"ffti_percentile_roll_std_5\"]) - (((data[\"fftr_time_rev_asym_stat_1\"]) * (((data[\"ffti_min_roll_std_100\"]) + (((((data[\"ffti_percentile_roll_std_5\"]) * ((3.0)))) * ((3.0)))))))))) \n        v[\"i500\"] = 0.010000*np.tanh((((-1.0*((data[\"kurt\"])))) + (((((((data[\"ffti_percentile_roll_std_30\"]) + (((data[\"ffti_percentile_roll_std_30\"]) * 2.0)))) * 2.0)) * (((((data[\"kurt\"]) + (data[\"fftr_max_roll_mean_100\"]))) * 2.0)))))) \n        v[\"i501\"] = 0.010000*np.tanh((((((((-1.0*((((((data[\"ffti_autocorrelation_10000\"]) * (data[\"ffti_min_roll_std_500\"]))) + (((data[\"ffti_kstat_1\"]) * (((data[\"ffti_min_roll_std_500\"]) * 2.0))))))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i502\"] = 0.010000*np.tanh((-1.0*((((data[\"fftr_time_rev_asym_stat_1\"]) * (((((((data[\"ffti_min_roll_std_10000\"]) * 2.0)) + (((((data[\"gmean\"]) + (((data[\"ffti_min_roll_std_10000\"]) * 2.0)))) * 2.0)))) * 2.0))))))) \n        v[\"i503\"] = 0.009996*np.tanh(((((((((((data[\"fftr_time_rev_asym_stat_50\"]) * (((((((data[\"ffti_abs_percentile_10\"]) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i504\"] = 0.010000*np.tanh(((((((((((((((((data[\"max_to_min\"]) * (((data[\"fftr_autocorrelation_100\"]) + (data[\"fftr_min_roll_std_1000\"]))))) * 2.0)) * 2.0)) - (data[\"fftr_range_2000_3000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i505\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_classic_sta_lta5_mean\"]) * 2.0)) * (((((((data[\"autocorrelation_50\"]) * 2.0)) - (data[\"ffti_classic_sta_lta5_mean\"]))) - (data[\"ffti_classic_sta_lta5_mean\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i506\"] = 0.010000*np.tanh((((((((((((((-1.0*((((data[\"max_to_min\"]) * (((data[\"ffti_exp_Moving_average_30000_std\"]) - (data[\"classic_sta_lta8_mean\"])))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i507\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_sum\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * ((((((-1.0*((data[\"exp_Moving_average_50000_std\"])))) + (data[\"mean_first_10000\"]))) * 2.0)))) * 2.0)) \n        v[\"i508\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_exp_Moving_average_3000_std\"]) * (((data[\"autocorrelation_10000\"]) - (data[\"mean_change_rate_first_10000\"]))))) * 2.0)) * 2.0)) + (data[\"min_roll_std_10\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i509\"] = 0.010000*np.tanh(((((((data[\"ffti_autocorrelation_5000\"]) + (((data[\"ffti_abs_max_roll_mean_10\"]) + (((data[\"fftr_classic_sta_lta4_mean\"]) + (((((data[\"autocorrelation_5000\"]) + (data[\"ffti_autocorrelation_5\"]))) * 2.0)))))))) * 2.0)) * 2.0)) \n        v[\"i510\"] = 0.010000*np.tanh((((data[\"fftr_percentile_roll_mean_30\"]) + (((((((((data[\"mean_change_rate_last_1000\"]) - (data[\"ffti_autocorrelation_1000\"]))) * (((data[\"num_peaks_20\"]) * 2.0)))) * 2.0)) * 2.0)))/2.0)) \n        v[\"i511\"] = 0.010000*np.tanh(((((data[\"autocorrelation_5\"]) - (((((((data[\"autocorrelation_5\"]) * (((data[\"autocorrelation_5000\"]) * (((data[\"fftr_exp_Moving_average_50000_std\"]) * 2.0)))))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i512\"] = 0.010000*np.tanh(((((data[\"ffti_num_peaks_50\"]) + (((((data[\"ffti_autocorrelation_50\"]) * (((((((((((data[\"ffti_num_peaks_50\"]) * 2.0)) + (data[\"av_change_rate_roll_mean_50\"]))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)))) * 2.0))\n        return v[v.columns[:n]].sum(axis=1)\n    \n    def GP_class_2(self,data,n):\n        v = pd.DataFrame()\n        v[\"i0\"] = -2.232397 \n        v[\"i1\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_range_0_1000\"]) / 2.0)) - (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) - (((data[\"kstat_1\"]) * 2.0)))) \n        v[\"i2\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_range_0_1000\"]) - (data[\"abs_percentile_80\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (((data[\"ffti_range_0_1000\"]) * 2.0)))) \n        v[\"i3\"] = 0.010000*np.tanh((((((((((-1.0*((data[\"num_peaks_10\"])))) * 2.0)) + (((((data[\"fftr_av_change_rate_roll_mean_1000\"]) - (data[\"abs_percentile_80\"]))) * 2.0)))) * 2.0)) - (((data[\"fftr_range_-3000_-2000\"]) + (data[\"percentile_75\"]))))) \n        v[\"i4\"] = 0.010000*np.tanh(((((((((data[\"ffti_range_0_1000\"]) + (((((data[\"mean_change_rate\"]) - (data[\"Hann_window_mean_1500\"]))) * 2.0)))) * 2.0)) * 2.0)) + (((((data[\"mean_change_rate\"]) - (data[\"Hann_window_mean_1500\"]))) * 2.0)))) \n        v[\"i5\"] = 0.010000*np.tanh((((-1.0*((((((data[\"num_peaks_10\"]) * 2.0)) + (((((((data[\"num_peaks_10\"]) + (data[\"fftr_range_-4000_-3000\"]))) * 2.0)) - (((data[\"num_peaks_10\"]) * 2.0))))))))) * 2.0)) \n        v[\"i6\"] = 0.010000*np.tanh(((data[\"num_peaks_10\"]) - (((((((((((data[\"percentile_roll_std_10\"]) + (data[\"iqr\"]))) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)))) \n        v[\"i7\"] = 0.010000*np.tanh(((((((((((data[\"ffti_range_0_1000\"]) - (data[\"abs_percentile_80\"]))) * 2.0)) * 2.0)) * 2.0)) - (((((((data[\"percentile_roll_std_25\"]) - (data[\"ffti_range_0_1000\"]))) * 2.0)) * 2.0)))) \n        v[\"i8\"] = 0.010000*np.tanh((((((((-1.0*((data[\"num_peaks_10\"])))) * 2.0)) - (((data[\"ffti_range_-3000_-2000\"]) - (((((((data[\"ffti_percentile_30\"]) - (data[\"num_peaks_10\"]))) - (data[\"exp_Moving_average_30000_mean\"]))) * 2.0)))))) * 2.0)) \n        v[\"i9\"] = 0.010000*np.tanh((((((((((-1.0*((data[\"num_peaks_10\"])))) * 2.0)) + ((-1.0*((data[\"num_peaks_10\"])))))) * 2.0)) + ((-1.0*((data[\"num_peaks_10\"])))))) \n        v[\"i10\"] = 0.010000*np.tanh(((((((((((-1.0*((((data[\"ffti_range_-4000_-3000\"]) * 2.0))))) * 2.0)) - (data[\"num_peaks_10\"]))) + (((((data[\"mean_change_rate\"]) - (data[\"abs_max_roll_mean_10000\"]))) * 2.0)))/2.0)) - (data[\"num_peaks_10\"]))) \n        v[\"i11\"] = 0.010000*np.tanh(((((data[\"ffti_range_0_1000\"]) - (((((data[\"abs_percentile_80\"]) * 2.0)) + (((((data[\"abs_percentile_80\"]) + (data[\"abs_percentile_80\"]))) / 2.0)))))) - (((data[\"fftr_range_-3000_-2000\"]) * 2.0)))) \n        v[\"i12\"] = 0.010000*np.tanh((((((-1.0*((data[\"abs_percentile_80\"])))) * 2.0)) + (((((((((data[\"fftr_range_0_1000\"]) - (data[\"abs_percentile_80\"]))) * 2.0)) * 2.0)) - (data[\"abs_percentile_80\"]))))) \n        v[\"i13\"] = 0.010000*np.tanh((((((((((((-1.0*((data[\"iqr\"])))) - (data[\"num_peaks_10\"]))) * 2.0)) - (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)) \n        v[\"i14\"] = 0.010000*np.tanh((((((((((-1.0*((data[\"abs_percentile_80\"])))) * 2.0)) + (data[\"fftr_range_-1000_0\"]))) * 2.0)) * 2.0)) \n        v[\"i15\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_percentile_30\"]) - (data[\"ffti_range_3000_4000\"]))) - (data[\"iqr\"]))) * 2.0)) * 2.0)) - (data[\"fftr_range_0_1000\"]))) * 2.0)) \n        v[\"i16\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_av_change_abs_roll_mean_100\"]) + (data[\"mean_change_rate\"]))) * 2.0)) - (data[\"ffti_range_-4000_-3000\"]))) * 2.0)) * 2.0)) * 2.0)) + ((-1.0*((data[\"classic_sta_lta5_mean\"])))))) \n        v[\"i17\"] = 0.010000*np.tanh(((((((((((((data[\"range_0_1000\"]) - (data[\"exp_Moving_average_50000_mean\"]))) - (data[\"abs_percentile_60\"]))) + (data[\"ffti_range_-1000_0\"]))) + (((data[\"range_0_1000\"]) * 2.0)))) - (data[\"ffti_range_2000_3000\"]))) * 2.0)) \n        v[\"i18\"] = 0.010000*np.tanh(((((((((data[\"fftr_av_change_abs_roll_mean_50\"]) + (((((data[\"fftr_av_change_abs_roll_mean_50\"]) + (((data[\"range_0_1000\"]) * 2.0)))) + (data[\"ffti_range_-1000_0\"]))))) + (data[\"range_0_1000\"]))) - (data[\"fftr_range_-4000_-3000\"]))) * 2.0)) \n        v[\"i19\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_abs_trend\"]) - (data[\"fftr_range_-3000_-2000\"]))) - (data[\"iqr\"]))) - (data[\"percentile_roll_std_10\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i20\"] = 0.010000*np.tanh((((-1.0*((data[\"num_peaks_10\"])))) + ((((((((-1.0*((data[\"num_peaks_10\"])))) * 2.0)) - (data[\"num_peaks_10\"]))) * 2.0)))) \n        v[\"i21\"] = 0.010000*np.tanh(((((((((((data[\"fftr_range_0_1000\"]) - (data[\"percentile_roll_std_30\"]))) - (data[\"percentile_75\"]))) - (((data[\"percentile_roll_std_20\"]) - (data[\"fftr_max_to_min\"]))))) * 2.0)) * 2.0)) \n        v[\"i22\"] = 0.010000*np.tanh((((((((((((data[\"mean_change_rate\"]) + (data[\"fftr_mean_change_abs\"]))) * 2.0)) * 2.0)) + (data[\"range_0_1000\"]))/2.0)) * 2.0)) \n        v[\"i23\"] = 0.010000*np.tanh(((((((((data[\"ffti_range_-1000_0\"]) + ((-1.0*((data[\"num_peaks_10\"])))))) * 2.0)) * 2.0)) + (((data[\"ffti_range_0_1000\"]) - (((data[\"num_peaks_10\"]) * 2.0)))))) \n        v[\"i24\"] = 0.010000*np.tanh(((((data[\"ffti_range_0_1000\"]) + (((((data[\"percentile_roll_mean_80\"]) + (((((((data[\"mean_change_rate\"]) - (data[\"percentile_roll_mean_80\"]))) * 2.0)) * 2.0)))) * 2.0)))) - (data[\"ffti_range_0_1000\"]))) \n        v[\"i25\"] = 0.010000*np.tanh(((((((((data[\"ffti_range_0_1000\"]) - (data[\"ffti_range_-4000_-3000\"]))) - (((data[\"abs_percentile_80\"]) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i26\"] = 0.010000*np.tanh(((((((data[\"mean_change_rate\"]) + (((((((((data[\"mean_change_rate\"]) + (data[\"fftr_av_change_abs_roll_std_1000\"]))) * 2.0)) * 2.0)) * 2.0)))) - (data[\"num_peaks_10\"]))) * 2.0)) \n        v[\"i27\"] = 0.010000*np.tanh(((((((((data[\"ffti_range_-1000_0\"]) * 2.0)) - (data[\"fftr_range_-4000_-3000\"]))) + ((((-1.0*((data[\"percentile_80\"])))) - (((data[\"fftr_range_-4000_-3000\"]) + (data[\"av_change_rate_roll_std_10\"]))))))) * 2.0)) \n        v[\"i28\"] = 0.010000*np.tanh(((((((data[\"fftr_range_0_1000\"]) - (((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)))) * 2.0)) - (((data[\"num_peaks_10\"]) * 2.0)))) \n        v[\"i29\"] = 0.010000*np.tanh((((((((((((((-1.0*((data[\"iqr\"])))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i30\"] = 0.010000*np.tanh(((data[\"autocorrelation_10\"]) - (((((((data[\"percentile_roll_std_1\"]) + (data[\"fftr_range_-4000_-3000\"]))) * 2.0)) + (((((data[\"num_peaks_10\"]) * 2.0)) + (((data[\"fftr_range_3000_4000\"]) * 2.0)))))))) \n        v[\"i31\"] = 0.010000*np.tanh(((((((data[\"fftr_max_to_min\"]) + (((((data[\"range_0_1000\"]) - (data[\"abs_percentile_60\"]))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i32\"] = 0.010000*np.tanh(((((data[\"iqr\"]) * 2.0)) - (((((((data[\"iqr\"]) - (data[\"fftr_iqr1\"]))) + (((((data[\"percentile_75\"]) + (data[\"percentile_roll_std_30\"]))) * 2.0)))) * 2.0)))) \n        v[\"i33\"] = 0.010000*np.tanh(((((((data[\"num_peaks_10\"]) - (((((data[\"ffti_range_-4000_-3000\"]) * 2.0)) * 2.0)))) - (((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i34\"] = 0.010000*np.tanh((((((-1.0*((data[\"percentile_roll_std_50\"])))) - (((((((data[\"ffti_range_3000_4000\"]) + (data[\"percentile_roll_std_50\"]))) * 2.0)) * 2.0)))) - ((((-1.0*((data[\"percentile_roll_std_50\"])))) * 2.0)))) \n        v[\"i35\"] = 0.010000*np.tanh(((((((((-1.0) - (data[\"percentile_roll_std_1\"]))) + (((((((data[\"num_peaks_10\"]) - (data[\"abs_percentile_80\"]))) - (data[\"num_peaks_10\"]))) - (data[\"num_peaks_10\"]))))) * 2.0)) * 2.0)) \n        v[\"i36\"] = 0.010000*np.tanh(((((data[\"fftr_range_-1000_0\"]) + ((((((((((-1.0*((data[\"abs_percentile_80\"])))) + ((-1.0*((data[\"abs_percentile_80\"])))))) * 2.0)) * 2.0)) * 2.0)))) - (data[\"percentile_roll_std_5\"]))) \n        v[\"i37\"] = 0.010000*np.tanh(((((data[\"num_peaks_10\"]) - (((((((data[\"ffti_range_-4000_-3000\"]) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) * 2.0)))) - (data[\"num_peaks_10\"]))) \n        v[\"i38\"] = 0.010000*np.tanh(((((((((data[\"fftr_av_change_abs_roll_mean_1000\"]) + ((((((-1.0*((data[\"ffti_range_-3000_-2000\"])))) - (data[\"percentile_roll_std_40\"]))) * 2.0)))) + (data[\"percentile_10\"]))) * 2.0)) + (data[\"fftr_max_to_min\"]))) \n        v[\"i39\"] = 0.010000*np.tanh((((((data[\"abs_percentile_80\"]) + (data[\"abs_percentile_80\"]))/2.0)) + ((((((-1.0*((data[\"ffti_count_big\"])))) - (((((((data[\"min_roll_std_10000\"]) + (data[\"abs_percentile_80\"]))) * 2.0)) * 2.0)))) * 2.0)))) \n        v[\"i40\"] = 0.010000*np.tanh((((-1.0*((((((((data[\"percentile_75\"]) + (data[\"num_peaks_10\"]))) * 2.0)) + ((((-1.0*(((((data[\"ffti_range_0_1000\"]) + ((-1.0*((data[\"fftr_kstatvar_1\"])))))/2.0))))) * 2.0))))))) * 2.0)) \n        v[\"i41\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_av_change_rate_roll_std_1000\"]) * ((-1.0*((data[\"classic_sta_lta2_mean\"])))))) - (((data[\"iqr\"]) * 2.0)))) * 2.0)) - (((data[\"percentile_roll_std_1\"]) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i42\"] = 0.010000*np.tanh(((((((((data[\"fftr_abs_percentile_30\"]) - (data[\"percentile_roll_std_1\"]))) - (((((data[\"ffti_range_3000_4000\"]) + (data[\"percentile_roll_std_20\"]))) * 2.0)))) - (data[\"percentile_80\"]))) - (data[\"ffti_range_2000_3000\"]))) \n        v[\"i43\"] = 0.010000*np.tanh((((((-1.0*((((data[\"abs_percentile_80\"]) * 2.0))))) - (((((data[\"abs_percentile_80\"]) * 2.0)) * 2.0)))) - (((((data[\"min_roll_std_10000\"]) * 2.0)) * 2.0)))) \n        v[\"i44\"] = 0.010000*np.tanh((-1.0*((((((((((((data[\"fftr_classic_sta_lta4_mean\"]) + (data[\"abs_percentile_80\"]))) * 2.0)) * 2.0)) * 2.0)) + (((data[\"abs_percentile_80\"]) * 2.0))))))) \n        v[\"i45\"] = 0.010000*np.tanh((((((((-1.0*((((((data[\"num_peaks_10\"]) * 2.0)) * 2.0))))) - (data[\"mean_first_50000\"]))) * 2.0)) - (((((((data[\"percentile_roll_mean_30\"]) - (data[\"range_0_1000\"]))) * 2.0)) * 2.0)))) \n        v[\"i46\"] = 0.010000*np.tanh((((((((-1.0*((((data[\"iqr\"]) * 2.0))))) * 2.0)) + (((((data[\"iqr\"]) * 2.0)) / 2.0)))) - (((((((data[\"iqr\"]) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i47\"] = 0.010000*np.tanh(((((data[\"ffti_range_0_1000\"]) + (((((((data[\"range_0_1000\"]) - (data[\"abs_percentile_70\"]))) * 2.0)) + (((data[\"range_0_1000\"]) * 2.0)))))) * 2.0)) \n        v[\"i48\"] = 0.010000*np.tanh((((((((((-1.0*((data[\"num_peaks_10\"])))) * 2.0)) - (data[\"num_peaks_10\"]))) + ((-1.0*((((data[\"iqr\"]) * 2.0))))))) * 2.0)) \n        v[\"i49\"] = 0.010000*np.tanh(((((((((((data[\"num_peaks_10\"]) - (((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i50\"] = 0.010000*np.tanh((((((((((-1.0*((((((data[\"abs_percentile_80\"]) * 2.0)) * 2.0))))) - (data[\"num_peaks_10\"]))) - (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)) \n        v[\"i51\"] = 0.010000*np.tanh(((((data[\"fftr_range_-4000_-3000\"]) - (((((((data[\"percentile_75\"]) / 2.0)) + (((((((data[\"percentile_75\"]) + (data[\"percentile_roll_std_10\"]))) * 2.0)) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i52\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_-1000_0\"]) - (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)) - (((data[\"num_peaks_10\"]) - ((-1.0*((((((data[\"num_peaks_10\"]) * 2.0)) * 2.0))))))))) \n        v[\"i53\"] = 0.010000*np.tanh(((((((((data[\"ffti_range_0_1000\"]) - (data[\"num_peaks_10\"]))) - (data[\"num_peaks_10\"]))) + (((data[\"fftr_range_-1000_0\"]) - (data[\"exp_Moving_average_30000_mean\"]))))) * 2.0)) \n        v[\"i54\"] = 0.010000*np.tanh(((data[\"ffti_num_peaks_100\"]) - (((((((data[\"ffti_range_-4000_-3000\"]) * 2.0)) * 2.0)) + (((data[\"percentile_75\"]) + (((data[\"percentile_roll_std_10\"]) * 2.0)))))))) \n        v[\"i55\"] = 0.010000*np.tanh((((((((((((((-1.0*((data[\"abs_percentile_80\"])))) * 2.0)) + ((-1.0*((data[\"num_peaks_10\"])))))) * 2.0)) * 2.0)) * 2.0)) + (((data[\"fftr_min_roll_mean_10\"]) * 2.0)))) \n        v[\"i56\"] = 0.010000*np.tanh((((-1.0*((((data[\"abs_percentile_80\"]) + (((data[\"abs_percentile_80\"]) * 2.0))))))) - (((data[\"min_roll_std_1000\"]) * 2.0)))) \n        v[\"i57\"] = 0.010000*np.tanh((((-1.0*((((((((data[\"iqr\"]) + (((data[\"iqr\"]) * 2.0)))) + (data[\"iqr\"]))) * 2.0))))) - (data[\"num_peaks_10\"]))) \n        v[\"i58\"] = 0.010000*np.tanh(((data[\"autocorrelation_10\"]) - (((data[\"num_peaks_10\"]) + (((((data[\"percentile_75\"]) + (data[\"min_roll_std_10000\"]))) * 2.0)))))) \n        v[\"i59\"] = 0.010000*np.tanh(((((((((((((data[\"mean_change_rate\"]) - ((((-1.0*(((-1.0*((data[\"ffti_kstat_3\"]))))))) * 2.0)))) + (data[\"fftr_av_change_abs_roll_mean_500\"]))) * 2.0)) * 2.0)) * 2.0)) - (data[\"fftr_av_change_abs_roll_mean_500\"]))) \n        v[\"i60\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_10\"]) - (((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)))) - (((data[\"ffti_range_-4000_-3000\"]) + (((data[\"percentile_roll_std_1\"]) + (data[\"ffti_range_-1000_0\"]))))))) * 2.0)) \n        v[\"i61\"] = 0.010000*np.tanh((((((((-1.0*((data[\"num_peaks_10\"])))) - (((((((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)) + (data[\"num_peaks_10\"]))) * 2.0)))) - ((-1.0*((data[\"num_peaks_10\"])))))) * 2.0)) \n        v[\"i62\"] = 0.010000*np.tanh((((((((-1.0*((data[\"iqr\"])))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i63\"] = 0.010000*np.tanh((((((((((((-1.0*((data[\"abs_percentile_80\"])))) - (data[\"ffti_range_-4000_-3000\"]))) * 2.0)) - (data[\"ffti_range_-4000_-3000\"]))) * 2.0)) * 2.0)) \n        v[\"i64\"] = 0.010000*np.tanh(((((data[\"autocorrelation_10\"]) - (((data[\"ffti_range_3000_4000\"]) + (data[\"min_roll_std_10000\"]))))) * 2.0)) \n        v[\"i65\"] = 0.010000*np.tanh(((((((data[\"fftr_max_to_min\"]) - (((((data[\"num_peaks_10\"]) + (data[\"num_peaks_10\"]))) * 2.0)))) - (((((((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)) / 2.0)) * 2.0)))) * 2.0)) \n        v[\"i66\"] = 0.010000*np.tanh((((-1.0*((((((((data[\"iqr\"]) * 2.0)) + (data[\"iqr\"]))) * 2.0))))) - (((data[\"percentile_95\"]) * 2.0)))) \n        v[\"i67\"] = 0.010000*np.tanh((((((((-1.0*((((((data[\"ffti_range_3000_4000\"]) * 2.0)) + (data[\"mean_first_50000\"])))))) * 2.0)) - (((((data[\"ffti_range_3000_4000\"]) + (data[\"percentile_roll_std_5\"]))) * 2.0)))) * 2.0)) \n        v[\"i68\"] = 0.010000*np.tanh(((((((data[\"num_peaks_10\"]) + ((-1.0*((data[\"abs_percentile_80\"])))))) - (((data[\"ffti_range_3000_4000\"]) + (data[\"min_roll_std_10000\"]))))) - (((((data[\"fftr_range_-3000_-2000\"]) + (data[\"abs_percentile_80\"]))) * 2.0)))) \n        v[\"i69\"] = 0.010000*np.tanh(((((((((((data[\"fftr_av_change_abs_roll_mean_500\"]) - (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) * 2.0)) - (data[\"num_peaks_10\"]))) * 2.0)) \n        v[\"i70\"] = 0.010000*np.tanh(((((data[\"num_peaks_10\"]) - (((((data[\"percentile_roll_std_20\"]) + (((data[\"ffti_range_3000_4000\"]) + (data[\"num_peaks_10\"]))))) * 2.0)))) - (((data[\"percentile_roll_std_30\"]) * 2.0)))) \n        v[\"i71\"] = 0.010000*np.tanh(((((((((data[\"range_0_1000\"]) - (data[\"abs_percentile_80\"]))) * 2.0)) + ((((-1.0*((data[\"num_peaks_10\"])))) * 2.0)))) * 2.0)) \n        v[\"i72\"] = 0.010000*np.tanh(((((data[\"autocorrelation_10\"]) - (data[\"num_peaks_10\"]))) - (((data[\"abs_percentile_80\"]) + (((((((((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i73\"] = 0.010000*np.tanh((((-1.0*((data[\"num_peaks_10\"])))) - (((((((data[\"ffti_classic_sta_lta2_mean\"]) + (data[\"percentile_roll_mean_40\"]))) + (data[\"percentile_roll_std_1\"]))) + (((data[\"percentile_roll_mean_5\"]) + (((data[\"num_peaks_10\"]) * 2.0)))))))) \n        v[\"i74\"] = 0.010000*np.tanh((((((((-1.0*((((data[\"percentile_75\"]) + (data[\"num_peaks_10\"])))))) - (data[\"fftr_max\"]))) - (data[\"ffti_range_3000_4000\"]))) - (data[\"num_peaks_10\"]))) \n        v[\"i75\"] = 0.010000*np.tanh((((((((-1.0*((data[\"min_roll_std_10000\"])))) + ((((-1.0*((data[\"min_roll_std_10000\"])))) + ((((-1.0*((data[\"num_peaks_10\"])))) * 2.0)))))) * 2.0)) - (((data[\"num_peaks_10\"]) * 2.0)))) \n        v[\"i76\"] = 0.010000*np.tanh(((data[\"fftr_av_change_abs_roll_mean_1000\"]) + (((((data[\"range_0_1000\"]) - (((data[\"num_peaks_10\"]) * 2.0)))) + (((data[\"fftr_classic_sta_lta7_mean\"]) + (data[\"mean_change_rate_last_50000\"]))))))) \n        v[\"i77\"] = 0.010000*np.tanh((((((((-1.0*((data[\"abs_percentile_80\"])))) - (data[\"abs_percentile_80\"]))) * 2.0)) + ((((-1.0*((data[\"abs_percentile_80\"])))) + ((((((-1.0*((data[\"abs_percentile_80\"])))) * 2.0)) * 2.0)))))) \n        v[\"i78\"] = 0.010000*np.tanh((((((((-1.0*((data[\"num_peaks_10\"])))) * 2.0)) - (((data[\"iqr\"]) + (((data[\"num_peaks_10\"]) * 2.0)))))) - (((data[\"num_peaks_10\"]) - ((-1.0*((data[\"gmean\"])))))))) \n        v[\"i79\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_30\"]) - (((((((data[\"ffti_range_3000_4000\"]) + (data[\"ffti_iqr\"]))) + (data[\"percentile_roll_std_10\"]))) + (((data[\"percentile_roll_std_10\"]) + (data[\"ffti_range_3000_4000\"]))))))) * 2.0)) \n        v[\"i80\"] = 0.010000*np.tanh(((((((data[\"percentile_10\"]) - (data[\"percentile_roll_mean_20\"]))) * 2.0)) - (((data[\"min_roll_std_1000\"]) + (data[\"range_-1000_0\"]))))) \n        v[\"i81\"] = 0.010000*np.tanh((((-1.0*((((((data[\"num_peaks_10\"]) - ((-1.0*((((data[\"num_peaks_10\"]) * 2.0))))))) * 2.0))))) - (((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)))) \n        v[\"i82\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_25\"]) - (data[\"percentile_roll_std_25\"]))) * 2.0)) + (((((((data[\"autocorrelation_10\"]) - (data[\"abs_percentile_80\"]))) * 2.0)) - (((data[\"num_peaks_10\"]) + (data[\"abs_percentile_80\"]))))))) \n        v[\"i83\"] = 0.010000*np.tanh(((((((((((-1.0) - (data[\"num_peaks_10\"]))) - (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i84\"] = 0.010000*np.tanh((((((((((data[\"ffti_percentile_20\"]) - (data[\"ffti_av_change_rate_roll_std_10000\"]))) + ((-1.0*((((data[\"ffti_range_3000_4000\"]) * 2.0))))))/2.0)) - (((data[\"abs_percentile_80\"]) * 2.0)))) * 2.0)) \n        v[\"i85\"] = 0.010000*np.tanh(((((((((((data[\"mean_change_rate\"]) + (data[\"fftr_av_change_abs_roll_std_100\"]))) * 2.0)) + (((data[\"fftr_av_change_abs_roll_std_100\"]) + (data[\"mean_change_rate\"]))))) * 2.0)) * 2.0)) \n        v[\"i86\"] = 0.010000*np.tanh((((((((((-1.0*(((((data[\"abs_percentile_80\"]) + (((data[\"abs_percentile_80\"]) * 2.0)))/2.0))))) * 2.0)) - (data[\"percentile_roll_std_40\"]))) * 2.0)) - (((((data[\"abs_percentile_80\"]) * 2.0)) * 2.0)))) \n        v[\"i87\"] = 0.010000*np.tanh(((((((data[\"mean_change_rate\"]) - (data[\"ave_roll_mean_500\"]))) - (data[\"ffti_range_-4000_-3000\"]))) * 2.0)) \n        v[\"i88\"] = 0.010000*np.tanh(((((((((data[\"ffti_percentile_30\"]) - (((data[\"num_peaks_10\"]) + (data[\"num_peaks_10\"]))))) - (data[\"num_peaks_10\"]))) - ((((((3.0) + (data[\"percentile_80\"]))/2.0)) * 2.0)))) * 2.0)) \n        v[\"i89\"] = 0.010000*np.tanh(((data[\"autocorrelation_10\"]) + ((((((((((-1.0*((((data[\"abs_percentile_80\"]) * 2.0))))) * 2.0)) * 2.0)) + (((data[\"autocorrelation_10\"]) * 2.0)))) * 2.0)))) \n        v[\"i90\"] = 0.010000*np.tanh((((((((((-1.0*((data[\"percentile_75\"])))) - (((data[\"num_peaks_10\"]) + (data[\"percentile_75\"]))))) * 2.0)) + ((((-1.0*((data[\"fftr_exp_Moving_average_300_mean\"])))) - (data[\"num_peaks_10\"]))))) * 2.0)) \n        v[\"i91\"] = 0.010000*np.tanh(((((((((((((-1.0) - (((data[\"min_roll_std_100\"]) + (((data[\"num_peaks_10\"]) * 2.0)))))) * 2.0)) * 2.0)) + (data[\"ffti_std_roll_std_10\"]))) - (data[\"num_peaks_10\"]))) * 2.0)) \n        v[\"i92\"] = 0.010000*np.tanh(((data[\"autocorrelation_10\"]) - (((((data[\"percentile_roll_std_30\"]) + (((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)))) + (((data[\"num_peaks_10\"]) - (((data[\"autocorrelation_10\"]) * 2.0)))))))) \n        v[\"i93\"] = 0.010000*np.tanh(((((((data[\"iqr\"]) * 2.0)) - (((((((((((data[\"iqr\"]) * 2.0)) * 2.0)) + (data[\"percentile_roll_std_5\"]))) * 2.0)) * 2.0)))) - (data[\"iqr\"]))) \n        v[\"i94\"] = 0.010000*np.tanh(((((((((data[\"ffti_range_-1000_0\"]) * 2.0)) - (((((data[\"abs_percentile_80\"]) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i95\"] = 0.010000*np.tanh(((((((((data[\"autocorrelation_10\"]) - (((((data[\"percentile_roll_std_1\"]) + (data[\"min_roll_std_1000\"]))) * 2.0)))) - (data[\"percentile_roll_std_50\"]))) - (((data[\"fftr_exp_Moving_average_300_std\"]) * 2.0)))) - (data[\"autocorrelation_50\"]))) \n        v[\"i96\"] = 0.010000*np.tanh((((((-1.0*((((((data[\"num_peaks_10\"]) * 2.0)) * 2.0))))) - (((((((data[\"num_peaks_10\"]) * 2.0)) + (((data[\"iqr\"]) * 2.0)))) * 2.0)))) - (data[\"percentile_roll_mean_90\"]))) \n        v[\"i97\"] = 0.010000*np.tanh(((data[\"ffti_percentile_10\"]) - (((data[\"num_peaks_10\"]) + (((((((((data[\"num_peaks_10\"]) + (((data[\"percentile_75\"]) * 2.0)))) * 2.0)) * 2.0)) + (data[\"percentile_75\"]))))))) \n        v[\"i98\"] = 0.010000*np.tanh(((((data[\"percentile_roll_std_20\"]) - (((data[\"percentile_roll_std_20\"]) * 2.0)))) + (((((((((-1.0) - (data[\"percentile_roll_std_20\"]))) * 2.0)) - (data[\"ffti_abs_max_roll_mean_10\"]))) * 2.0)))) \n        v[\"i99\"] = 0.010000*np.tanh(((((data[\"mean_change_rate\"]) + (data[\"fftr_mean_change_abs\"]))) + (((((data[\"range_0_1000\"]) + (data[\"fftr_mean_change_abs\"]))) + (data[\"autocorrelation_10\"]))))) \n        v[\"i100\"] = 0.010000*np.tanh((-1.0*((((((((((data[\"ffti_std_roll_mean_10\"]) + (1.0))) * 2.0)) + (((((data[\"num_peaks_10\"]) + (((data[\"num_peaks_10\"]) + (data[\"min_roll_std_500\"]))))) * 2.0)))) * 2.0))))) \n        v[\"i101\"] = 0.010000*np.tanh(((((data[\"mean_change_rate_first_50000\"]) + (((data[\"mean_change_rate_first_50000\"]) - (((((((data[\"min_roll_std_1000\"]) * 2.0)) * 2.0)) * 2.0)))))) - (data[\"time_rev_asym_stat_50\"]))) \n        v[\"i102\"] = 0.010000*np.tanh((((-1.0*((1.0)))) - (((((data[\"iqr\"]) - (data[\"mean_change_rate_first_1000\"]))) + (data[\"min_roll_std_10000\"]))))) \n        v[\"i103\"] = 0.010000*np.tanh(((((((data[\"av_change_rate_roll_std_1000\"]) - (((((data[\"ffti_percentile_roll_std_95\"]) + (((data[\"percentile_roll_std_5\"]) * 2.0)))) + (data[\"percentile_roll_std_1\"]))))) * 2.0)) + (-3.0))) \n        v[\"i104\"] = 0.010000*np.tanh(((((((-2.0) - (data[\"iqr\"]))) - (data[\"iqr\"]))) - (((data[\"num_peaks_10\"]) - (((data[\"ffti_abs_max_roll_std_1000\"]) - (data[\"num_peaks_10\"]))))))) \n        v[\"i105\"] = 0.010000*np.tanh(((((((((((((data[\"mean_change_rate\"]) - (data[\"ave_roll_mean_1000\"]))) * 2.0)) * 2.0)) * 2.0)) - (((data[\"iqr\"]) + (data[\"percentile_75\"]))))) + (data[\"mean_change_rate\"]))) \n        v[\"i106\"] = 0.010000*np.tanh(((((((data[\"mean_change_rate_first_50000\"]) * 2.0)) - (data[\"percentile_75\"]))) - (((((3.0)) + (((data[\"percentile_75\"]) * 2.0)))/2.0)))) \n        v[\"i107\"] = 0.010000*np.tanh(((((((-2.0) - (data[\"num_peaks_50\"]))) - (data[\"abs_percentile_80\"]))) - (((data[\"num_peaks_10\"]) * 2.0)))) \n        v[\"i108\"] = 0.010000*np.tanh(((((((((data[\"percentile_75\"]) * 2.0)) - (data[\"percentile_75\"]))) - (((((data[\"percentile_75\"]) * 2.0)) * 2.0)))) + (data[\"fftr_max_to_min\"]))) \n        v[\"i109\"] = 0.010000*np.tanh((((((-1.0*((((data[\"percentile_roll_mean_5\"]) + (data[\"percentile_roll_std_1\"])))))) - (((data[\"std_first_1000\"]) + (((data[\"percentile_roll_std_1\"]) + (((data[\"min_roll_std_1000\"]) * 2.0)))))))) + (-2.0))) \n        v[\"i110\"] = 0.010000*np.tanh(((data[\"ffti_min_roll_mean_100\"]) + (((((((((((data[\"autocorrelation_10\"]) - (data[\"min_roll_std_1000\"]))) * 2.0)) + (data[\"autocorrelation_10\"]))) * 2.0)) - (data[\"fftr_min_roll_mean_100\"]))))) \n        v[\"i111\"] = 0.010000*np.tanh(((((((((data[\"mean_change_rate\"]) - (data[\"percentile_75\"]))) * 2.0)) - (data[\"autocorrelation_10\"]))) - (2.0))) \n        v[\"i112\"] = 0.010000*np.tanh(((((((((((((data[\"mean_change_rate\"]) - (data[\"med\"]))) * 2.0)) - (((1.0) + (data[\"fftr_std_roll_mean_100\"]))))) - (data[\"percentile_roll_std_1\"]))) * 2.0)) * 2.0)) \n        v[\"i113\"] = 0.010000*np.tanh((((((((((data[\"exp_Moving_average_300_std\"]) + (((data[\"mean_change_rate\"]) - (data[\"percentile_75\"]))))/2.0)) + (-2.0))) + (((data[\"mean_change_rate\"]) - (data[\"percentile_75\"]))))) * 2.0)) \n        v[\"i114\"] = 0.010000*np.tanh(((((((((((data[\"mean_change_rate_first_1000\"]) - (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)) / 2.0)) - (2.0))) \n        v[\"i115\"] = 0.010000*np.tanh(((((((-2.0) - (((((data[\"min_roll_std_10000\"]) * 2.0)) * 2.0)))) * 2.0)) - (((data[\"autocorrelation_10\"]) - (-2.0))))) \n        v[\"i116\"] = 0.010000*np.tanh(((((((((-2.0) - (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) + (data[\"ffti_percentile_roll_std_99\"]))) + (((((data[\"num_peaks_10\"]) - (data[\"num_peaks_10\"]))) * 2.0)))) \n        v[\"i117\"] = 0.010000*np.tanh(((((data[\"mean_change_rate\"]) - ((((data[\"exp_Moving_average_3000_mean\"]) + ((((data[\"num_peaks_10\"]) + (((((3.0) + (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)))/2.0)))/2.0)))) * 2.0)) \n        v[\"i118\"] = 0.010000*np.tanh(((((((((((data[\"ffti_min_roll_mean_10\"]) + (((data[\"autocorrelation_10\"]) + (data[\"fftr_min_roll_mean_500\"]))))) * 2.0)) * 2.0)) + (data[\"percentile_roll_std_1\"]))) + (((((data[\"mean_change_rate_last_10000\"]) * 2.0)) / 2.0)))) \n        v[\"i119\"] = 0.010000*np.tanh(((((((((((data[\"mean_change_rate\"]) - (data[\"fftr_exp_Moving_average_30000_std\"]))) * 2.0)) - (data[\"mean_change_rate\"]))) * 2.0)) * 2.0)) \n        v[\"i120\"] = 0.010000*np.tanh((((((((((((((-1.0) + (-1.0))/2.0)) + (((data[\"range_0_1000\"]) + (data[\"mean_change_rate_first_1000\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i121\"] = 0.010000*np.tanh(((((((((-3.0) - (((data[\"num_peaks_10\"]) * 2.0)))) * 2.0)) - (((((data[\"num_peaks_10\"]) * 2.0)) * 2.0)))) + (((-3.0) - (data[\"percentile_20\"]))))) \n        v[\"i122\"] = 0.010000*np.tanh(((((((((-2.0) - (((data[\"percentile_roll_std_1\"]) * 2.0)))) * 2.0)) + (((data[\"mean_change_rate_first_1000\"]) + (data[\"mean_change_rate_first_1000\"]))))) * 2.0)) \n        v[\"i123\"] = 0.010000*np.tanh(((((data[\"range_0_1000\"]) - (((((data[\"min_roll_std_1000\"]) - (((data[\"mean_change_rate_first_1000\"]) + (-2.0))))) - (((data[\"percentile_75\"]) - (data[\"percentile_75\"]))))))) + (data[\"mean_change_rate_first_1000\"]))) \n        v[\"i124\"] = 0.010000*np.tanh(((data[\"min_roll_std_1000\"]) - (((((data[\"num_peaks_10\"]) + (((((((((data[\"num_peaks_10\"]) + (((((3.0)) + (data[\"num_peaks_10\"]))/2.0)))) * 2.0)) * 2.0)) * 2.0)))) * 2.0)))) \n        v[\"i125\"] = 0.010000*np.tanh(((((data[\"mean_change_rate_last_50000\"]) - (2.0))) + (((((data[\"mean_change_rate_last_50000\"]) - (data[\"percentile_75\"]))) - (data[\"percentile_75\"]))))) \n        v[\"i126\"] = 0.010000*np.tanh(((-2.0) + (((((data[\"autocorrelation_10\"]) + (((data[\"mean_change_rate_last_10000\"]) + (data[\"mean_change_rate_last_10000\"]))))) + (data[\"ffti_min_first_10000\"]))))) \n        v[\"i127\"] = 0.010000*np.tanh(((-3.0) + ((((-1.0*((((data[\"num_peaks_10\"]) * 2.0))))) - (((((((data[\"num_peaks_10\"]) + (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)))))) \n        v[\"i128\"] = 0.010000*np.tanh(((-2.0) + (((((data[\"mean_change_rate\"]) * 2.0)) - (data[\"percentile_75\"]))))) \n        v[\"i129\"] = 0.010000*np.tanh(((-3.0) + (((((((((((((data[\"mean_change_rate_first_1000\"]) * 2.0)) * 2.0)) * 2.0)) - (data[\"skew\"]))) - (data[\"percentile_75\"]))) - (data[\"percentile_roll_std_30\"]))))) \n        v[\"i130\"] = 0.010000*np.tanh(((((((((((-2.0) - (((data[\"percentile_75\"]) * 2.0)))) + (data[\"mean_change_rate_first_1000\"]))) + (data[\"mean_change_rate\"]))) * 2.0)) * 2.0)) \n        v[\"i131\"] = 0.010000*np.tanh(((((data[\"range_0_1000\"]) * 2.0)) + (((((-3.0) + (-3.0))) + (((((data[\"range_0_1000\"]) - (data[\"min_roll_std_500\"]))) * 2.0)))))) \n        v[\"i132\"] = 0.010000*np.tanh(((((((((data[\"mean_change_rate_first_1000\"]) - (data[\"min_roll_std_100\"]))) * 2.0)) + (((data[\"skew\"]) * 2.0)))) * 2.0)) \n        v[\"i133\"] = 0.010000*np.tanh(((((((((data[\"range_0_1000\"]) + (-1.0))) * 2.0)) + (((data[\"skew\"]) * 2.0)))) * 2.0)) \n        v[\"i134\"] = 0.010000*np.tanh(((((data[\"mean_change_rate_first_1000\"]) + (((((data[\"range_0_1000\"]) + (((data[\"percentile_5\"]) + (data[\"skew\"]))))) * 2.0)))) + (-3.0))) \n        v[\"i135\"] = 0.010000*np.tanh(((data[\"mean_change_rate_last_10000\"]) + (((-3.0) + (((data[\"percentile_10\"]) + (data[\"skew\"]))))))) \n        v[\"i136\"] = 0.010000*np.tanh((((((((-1.0*((data[\"percentile_75\"])))) + (((-2.0) + (data[\"mean_change_rate_first_50000\"]))))) - (-1.0))) * 2.0)) \n        v[\"i137\"] = 0.010000*np.tanh(((data[\"mean_change_rate_first_1000\"]) + (((((-1.0) - (((data[\"abs_percentile_90\"]) * 2.0)))) * 2.0)))) \n        v[\"i138\"] = 0.010000*np.tanh(((((((data[\"mean_change_rate_first_1000\"]) + (((((data[\"skew\"]) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i139\"] = 0.010000*np.tanh(((data[\"mean_change_rate\"]) + (((((((data[\"skew\"]) * 2.0)) - (data[\"percentile_roll_std_20\"]))) + (((-3.0) + (((data[\"skew\"]) - (data[\"percentile_roll_std_5\"]))))))))) \n        v[\"i140\"] = 0.010000*np.tanh(((((data[\"mean_change_rate_first_1000\"]) * 2.0)) + (((((data[\"skew\"]) * 2.0)) * 2.0)))) \n        v[\"i141\"] = 0.010000*np.tanh((((((((data[\"max_to_min\"]) * 2.0)) + (data[\"mean_change_rate_first_1000\"]))/2.0)) + (((((data[\"mean_change_rate_last_10000\"]) + (-2.0))) + (data[\"fftr_abs_percentile_10\"]))))) \n        v[\"i142\"] = 0.010000*np.tanh(((((((((-2.0) + (data[\"mean_change_rate_first_50000\"]))) + (data[\"fftr_av_change_abs_roll_std_10\"]))) * 2.0)) + (((data[\"mean_change_rate\"]) + (data[\"mean_change_rate_first_50000\"]))))) \n        v[\"i143\"] = 0.010000*np.tanh(((((-3.0) - (((data[\"min_roll_std_10000\"]) * 2.0)))) - (((((data[\"min_roll_std_1000\"]) * 2.0)) - (((data[\"autocorrelation_5000\"]) - (data[\"autocorrelation_5000\"]))))))) \n        v[\"i144\"] = 0.010000*np.tanh(((((-1.0) - (data[\"num_peaks_10\"]))) + (((((((-1.0) - (data[\"num_peaks_10\"]))) + (data[\"exp_Moving_average_50000_std\"]))) * 2.0)))) \n        v[\"i145\"] = 0.010000*np.tanh((((((((data[\"skew\"]) + (-3.0))) + (((((data[\"abs_max_roll_std_100\"]) - (1.0))) - (1.0))))/2.0)) - (((data[\"num_peaks_10\"]) * 2.0)))) \n        v[\"i146\"] = 0.010000*np.tanh(((((((((data[\"skew\"]) - (data[\"min_roll_std_500\"]))) * 2.0)) - (data[\"percentile_75\"]))) * 2.0)) \n        v[\"i147\"] = 0.010000*np.tanh((((((((-3.0) + (data[\"mean_change_rate\"]))/2.0)) * 2.0)) + (((data[\"mean_change_rate_first_50000\"]) + (((((data[\"mean_change_rate\"]) - (data[\"percentile_roll_mean_10\"]))) * 2.0)))))) \n        v[\"i148\"] = 0.010000*np.tanh(((data[\"ffti_min_roll_std_50\"]) + (((((data[\"fftr_mean_first_1000\"]) + (((((-2.0) + (data[\"mean_change_rate_first_10000\"]))) - (data[\"percentile_75\"]))))) - (data[\"percentile_75\"]))))) \n        v[\"i149\"] = 0.010000*np.tanh(((((((((data[\"mean_change_rate\"]) * 2.0)) * 2.0)) - (((data[\"fftr_Hann_window_mean_1500\"]) - (((((((-3.0) - (data[\"percentile_75\"]))) - (data[\"percentile_75\"]))) * 2.0)))))) * 2.0)) \n        v[\"i150\"] = 0.010000*np.tanh(((((((data[\"skew\"]) * 2.0)) - ((((2.37314748764038086)) - ((-1.0*((data[\"min_roll_std_1000\"])))))))) + (((((data[\"skew\"]) * 2.0)) + (data[\"range_p4000_pinf\"]))))) \n        v[\"i151\"] = 0.010000*np.tanh(((data[\"range_0_1000\"]) + (((((((((((data[\"fftr_mean_last_1000\"]) + (data[\"range_0_1000\"]))) + (-1.0))) + (data[\"abs_percentile_20\"]))) * 2.0)) + (((data[\"ffti_percentile_roll_std_50\"]) * 2.0)))))) \n        v[\"i152\"] = 0.010000*np.tanh(((data[\"ffti_exp_Moving_average_30000_std\"]) + ((((((((((((((-1.0) - (data[\"num_peaks_10\"]))) * 2.0)) * 2.0)) + (-3.0))/2.0)) + (data[\"percentile_10\"]))) * 2.0)))) \n        v[\"i153\"] = 0.010000*np.tanh((((((-1.0*((data[\"min_roll_std_100\"])))) + (((-2.0) + (((data[\"mean_change_rate_last_10000\"]) + (((data[\"skew\"]) * 2.0)))))))) + (data[\"ffti_mean_change_rate\"]))) \n        v[\"i154\"] = 0.010000*np.tanh(((((((data[\"fftr_mean_last_1000\"]) + ((((data[\"mean_change_rate\"]) + (data[\"ffti_min_roll_std_100\"]))/2.0)))) + ((((-2.0) + (((((data[\"ffti_min_roll_mean_10\"]) + (data[\"fftr_min_roll_mean_100\"]))) * 2.0)))/2.0)))) * 2.0)) \n        v[\"i155\"] = 0.010000*np.tanh(((-3.0) + (((((((((data[\"skew\"]) + (data[\"ffti_exp_Moving_average_30000_std\"]))) * 2.0)) + (((data[\"mean_change_rate_first_1000\"]) * 2.0)))) * 2.0)))) \n        v[\"i156\"] = 0.010000*np.tanh((((((((((((((data[\"max_to_min\"]) + (-2.0))/2.0)) - (data[\"min_roll_std_1000\"]))) * 2.0)) + (data[\"exp_Moving_average_50000_std\"]))) + (data[\"ffti_min_roll_std_100\"]))) * 2.0)) \n        v[\"i157\"] = 0.010000*np.tanh(((-2.0) + (((((((data[\"abs_percentile_30\"]) + ((-1.0*((((data[\"percentile_75\"]) * 2.0))))))) * 2.0)) + (((-3.0) - (-3.0))))))) \n        v[\"i158\"] = 0.010000*np.tanh(((((((((data[\"mean_change_rate_first_10000\"]) + ((((data[\"mean_change_rate\"]) + (((((-2.0) * 2.0)) - (((data[\"fftr_autocorrelation_100\"]) - (data[\"mean_change_rate\"]))))))/2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i159\"] = 0.010000*np.tanh(((((((data[\"ffti_percentile_roll_std_50\"]) - (data[\"percentile_roll_std_25\"]))) * 2.0)) + (-2.0))) \n        v[\"i160\"] = 0.010000*np.tanh(((((((-2.0) + (-2.0))) + (((((data[\"mean_change_rate_last_10000\"]) + (((data[\"ffti_min_roll_std_50\"]) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i161\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_percentile_roll_std_50\"]) - (data[\"percentile_95\"]))) * 2.0)) * 2.0)) + (data[\"ffti_percentile_roll_std_50\"]))) - (((data[\"ffti_min_roll_mean_500\"]) - (-1.0))))) * 2.0)) \n        v[\"i162\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_std_100\"]) + (((data[\"mean_change_rate_first_1000\"]) * 2.0)))) + (((((data[\"skew\"]) * 2.0)) + (((data[\"mean_change_rate_first_1000\"]) * 2.0)))))) \n        v[\"i163\"] = 0.010000*np.tanh(((data[\"fftr_abs_max_roll_mean_10000\"]) * ((((((13.49804401397705078)) + ((((data[\"fftr_abs_max_roll_mean_10000\"]) + ((13.49804115295410156)))/2.0)))) + (((data[\"ffti_min_roll_std_100\"]) * 2.0)))))) \n        v[\"i164\"] = 0.010000*np.tanh((-1.0*((((((data[\"min_roll_std_100\"]) - (((((((((data[\"ffti_min_roll_std_100\"]) - (data[\"min_roll_std_100\"]))) + (data[\"exp_Moving_average_50000_std\"]))) + (data[\"exp_Moving_average_50000_std\"]))) * 2.0)))) * 2.0))))) \n        v[\"i165\"] = 0.010000*np.tanh(((-2.0) * 2.0)) \n        v[\"i166\"] = 0.010000*np.tanh(((data[\"mean_change_rate\"]) + ((((-1.0*((((data[\"percentile_75\"]) * 2.0))))) + (-2.0))))) \n        v[\"i167\"] = 0.010000*np.tanh((((((((((((data[\"ffti_min_roll_std_10\"]) + (data[\"ffti_mean\"]))/2.0)) * 2.0)) + (-3.0))) + (((((data[\"mean_change_rate\"]) + (data[\"ffti_min_first_10000\"]))) + (data[\"mean_change_rate\"]))))) * 2.0)) \n        v[\"i168\"] = 0.010000*np.tanh(((((data[\"abs_percentile_20\"]) + (((((((((data[\"skew\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i169\"] = 0.010000*np.tanh(((((((((((data[\"fftr_mean_last_1000\"]) * 2.0)) + (data[\"fftr_time_rev_asym_stat_100\"]))) - (data[\"ffti_autocorrelation_100\"]))) + (data[\"kurt\"]))) * 2.0)) \n        v[\"i170\"] = 0.010000*np.tanh(((-2.0) + (((((((((data[\"ffti_min_roll_std_50\"]) + (((((data[\"ffti_min_roll_mean_500\"]) * 2.0)) * 2.0)))) * 2.0)) + (data[\"ffti_exp_Moving_average_30000_std\"]))) + (data[\"range_0_1000\"]))))) \n        v[\"i171\"] = 0.010000*np.tanh(-2.0) \n        v[\"i172\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_roll_std_30\"]) * 2.0)) + (((((data[\"skew\"]) * 2.0)) + (((data[\"ffti_percentile_roll_std_30\"]) * 2.0)))))) \n        v[\"i173\"] = 0.010000*np.tanh(((((data[\"fftr_mean_last_1000\"]) - (data[\"percentile_roll_std_70\"]))) - (((data[\"min_roll_std_1000\"]) - (((((((((data[\"ffti_percentile_roll_std_50\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)))))) \n        v[\"i174\"] = 0.010000*np.tanh(((data[\"ffti_min_roll_std_10\"]) + (((data[\"exp_Moving_average_30000_std\"]) + (((((data[\"ffti_min_roll_std_10\"]) * 2.0)) * 2.0)))))) \n        v[\"i175\"] = 0.010000*np.tanh(((((data[\"fftr_exp_Moving_average_50000_std\"]) * (data[\"ffti_min_roll_mean_10\"]))) + (((((data[\"mean_last_1000\"]) + (((((data[\"ffti_percentile_roll_std_20\"]) + (((((data[\"mean_last_1000\"]) * 2.0)) * 2.0)))) * 2.0)))) * 2.0)))) \n        v[\"i176\"] = 0.010000*np.tanh(((((((((data[\"ffti_min_roll_mean_500\"]) + (data[\"ffti_exp_Moving_average_50000_std\"]))) - (data[\"ffti_exp_Moving_average_50000_std\"]))) + (((data[\"ffti_percentile_roll_std_20\"]) * 2.0)))) - (((data[\"ffti_autocorrelation_500\"]) - (data[\"ffti_percentile_roll_std_50\"]))))) \n        v[\"i177\"] = 0.010000*np.tanh(((((((((((((((data[\"mean_last_1000\"]) - (data[\"percentile_roll_mean_30\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (((data[\"fftr_mean_change_abs\"]) * 2.0)))) * 2.0)) \n        v[\"i178\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_1000\"]) + (data[\"ffti_min_roll_std_50\"]))) * 2.0)) + ((((((((data[\"ffti_min_roll_std_50\"]) * 2.0)) * 2.0)) + (-3.0))/2.0)))) \n        v[\"i179\"] = 0.010000*np.tanh(((((-3.0) * 2.0)) + (-3.0))) \n        v[\"i180\"] = 0.010000*np.tanh((((((((((data[\"abs_percentile_40\"]) * 2.0)) + ((((data[\"fftr_av_change_abs_roll_std_1000\"]) + (((((data[\"abs_percentile_60\"]) / 2.0)) * 2.0)))/2.0)))/2.0)) - (data[\"ave_roll_mean_10\"]))) * 2.0)) \n        v[\"i181\"] = 0.010000*np.tanh((((data[\"av_change_abs_roll_mean_10000\"]) + (((data[\"max_to_min\"]) + (data[\"ffti_num_peaks_10\"]))))/2.0)) \n        v[\"i182\"] = 0.010000*np.tanh(((data[\"fftr_mean_last_1000\"]) + (((((((((((((data[\"mean_change_rate\"]) - (data[\"ave_roll_mean_1000\"]))) + (data[\"fftr_range_2000_3000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i183\"] = 0.010000*np.tanh(((((data[\"max_first_10000\"]) - (data[\"percentile_roll_std_5\"]))) - ((((((data[\"mean_change_rate\"]) + (data[\"autocorrelation_5000\"]))) + (data[\"kurt\"]))/2.0)))) \n        v[\"i184\"] = 0.010000*np.tanh(((((((data[\"ffti_percentile_roll_std_50\"]) + (data[\"ffti_exp_Moving_average_50000_std\"]))) * 2.0)) + (((((0.0) + (data[\"ffti_exp_Moving_average_50000_std\"]))) - (data[\"ffti_max_to_min\"]))))) \n        v[\"i185\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_std_50\"]) * 2.0)) + (((data[\"ffti_min_roll_std_50\"]) + (-2.0))))) \n        v[\"i186\"] = 0.010000*np.tanh(((((((((((data[\"ffti_percentile_roll_std_50\"]) * 2.0)) + (((((data[\"fftr_abs_percentile_10\"]) + (data[\"range_0_1000\"]))) * 2.0)))) - (data[\"ffti_autocorrelation_50\"]))) * 2.0)) + (data[\"ffti_percentile_roll_std_50\"]))) \n        v[\"i187\"] = 0.010000*np.tanh(((((((data[\"abs_percentile_40\"]) - (data[\"fftr_autocorrelation_500\"]))) + (data[\"ffti_ave_roll_mean_10\"]))) + (((data[\"ffti_percentile_roll_std_50\"]) * 2.0)))) \n        v[\"i188\"] = 0.010000*np.tanh((((((data[\"skew\"]) + (-2.0))) + (((data[\"abs_percentile_20\"]) + (((-3.0) + (((data[\"range_-2000_-1000\"]) + (data[\"percentile_10\"]))))))))/2.0)) \n        v[\"i189\"] = 0.010000*np.tanh(((((((data[\"skew\"]) * 2.0)) + (data[\"percentile_5\"]))) * 2.0)) \n        v[\"i190\"] = 0.010000*np.tanh(((((-3.0) + (((((((((data[\"skew\"]) * 2.0)) - (((data[\"ffti_autocorrelation_100\"]) - (data[\"ffti_mean_change_rate\"]))))) + (data[\"exp_Moving_average_30000_std\"]))) * 2.0)))) * 2.0)) \n        v[\"i191\"] = 0.010000*np.tanh(((((data[\"ffti_Hann_window_mean_150\"]) + (((((((data[\"max_to_min\"]) + ((((-2.0) + (-1.0))/2.0)))) + (data[\"exp_Moving_average_30000_std\"]))) * 2.0)))) * 2.0)) \n        v[\"i192\"] = 0.010000*np.tanh(((data[\"ffti_percentile_roll_std_20\"]) * 2.0)) \n        v[\"i193\"] = 0.010000*np.tanh(((((data[\"skew\"]) - (data[\"min_roll_std_10000\"]))) * 2.0)) \n        v[\"i194\"] = 0.010000*np.tanh(((((data[\"time_rev_asym_stat_10\"]) * 2.0)) - (((data[\"min_roll_std_100\"]) * 2.0)))) \n        v[\"i195\"] = 0.010000*np.tanh(((data[\"fftr_min_roll_mean_1000\"]) + (((data[\"exp_Moving_average_50000_std\"]) + (((((data[\"fftr_min_roll_mean_1000\"]) + (data[\"fftr_abs_percentile_10\"]))) * 2.0)))))) \n        v[\"i196\"] = 0.010000*np.tanh(((((data[\"mean_change_rate\"]) + (((((((data[\"med\"]) * 2.0)) * (data[\"fftr_num_peaks_100\"]))) * 2.0)))) * 2.0)) \n        v[\"i197\"] = 0.010000*np.tanh(((-3.0) + (((((-3.0) * 2.0)) * (data[\"fftr_percentile_roll_std_25\"]))))) \n        v[\"i198\"] = 0.010000*np.tanh(((((data[\"ffti_mean_change_rate\"]) + (((((data[\"ffti_min_roll_std_50\"]) + (((data[\"ffti_percentile_roll_std_50\"]) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i199\"] = 0.010000*np.tanh(((((((((((((((data[\"mean_change_rate_first_1000\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (((data[\"percentile_10\"]) * 2.0)))) \n        v[\"i200\"] = 0.010000*np.tanh(((((((data[\"percentile_20\"]) - ((-1.0*((((((data[\"fftr_percentile_roll_std_40\"]) + (((data[\"ffti_av_change_abs_roll_std_50\"]) * 2.0)))) - (((data[\"percentile_roll_mean_25\"]) * 2.0))))))))) * 2.0)) * 2.0)) \n        v[\"i201\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_percentile_roll_std_70\"]) * 2.0)) + (((((data[\"abs_percentile_40\"]) / 2.0)) + (data[\"skew\"]))))) * 2.0)) - (data[\"skew\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i202\"] = 0.010000*np.tanh(((data[\"ffti_mad\"]) - (((data[\"ffti_autocorrelation_100\"]) - (((data[\"ffti_min_roll_std_50\"]) / 2.0)))))) \n        v[\"i203\"] = 0.010000*np.tanh((((((((-1.0*((data[\"ffti_autocorrelation_100\"])))) - (((data[\"ffti_autocorrelation_100\"]) * (((data[\"ffti_min_roll_std_10\"]) + (data[\"min_last_1000\"]))))))) - (data[\"ffti_autocorrelation_500\"]))) - (data[\"ffti_autocorrelation_100\"]))) \n        v[\"i204\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_std_10\"]) + (((((data[\"fftr_min_roll_mean_10\"]) + (((data[\"ffti_min_roll_std_10\"]) + (data[\"fftr_min_roll_mean_10\"]))))) + (data[\"ffti_min_roll_std_10\"]))))) * 2.0)) \n        v[\"i205\"] = 0.010000*np.tanh(((((((((((data[\"fftr_percentile_roll_mean_25\"]) * (-2.0))) * 2.0)) * 2.0)) / 2.0)) + (-2.0))) \n        v[\"i206\"] = 0.010000*np.tanh(-2.0) \n        v[\"i207\"] = 0.010000*np.tanh(((data[\"ffti_ave_roll_mean_10\"]) + (data[\"ffti_mean_change_rate\"]))) \n        v[\"i208\"] = 0.010000*np.tanh(((((((((((data[\"ffti_min_roll_std_10\"]) * 2.0)) * 2.0)) + (((data[\"ffti_av_change_abs_roll_std_100\"]) + ((-1.0*((data[\"ffti_range_p4000_pinf\"])))))))) * 2.0)) * 2.0)) \n        v[\"i209\"] = 0.010000*np.tanh(((data[\"mean_change_rate_first_1000\"]) + (((-2.0) - (((data[\"num_peaks_10\"]) + ((((data[\"ffti_autocorrelation_50\"]) + (data[\"percentile_90\"]))/2.0)))))))) \n        v[\"i210\"] = 0.010000*np.tanh((((-1.0*((((data[\"min_roll_std_10\"]) * 2.0))))) * 2.0)) \n        v[\"i211\"] = 0.010000*np.tanh(((((((((data[\"mean_last_1000\"]) * 2.0)) - (data[\"percentile_75\"]))) * 2.0)) * 2.0)) \n        v[\"i212\"] = 0.010000*np.tanh(((((data[\"percentile_30\"]) + ((((((data[\"exp_Moving_average_30000_std\"]) / 2.0)) + (((data[\"percentile_10\"]) / 2.0)))/2.0)))) + (((data[\"abs_percentile_40\"]) + (data[\"kurt\"]))))) \n        v[\"i213\"] = 0.010000*np.tanh((((((-3.0) - (((((data[\"ffti_max_roll_std_10000\"]) - (((-3.0) + (data[\"ffti_num_peaks_100\"]))))) + (data[\"range_3000_4000\"]))))) + (-3.0))/2.0)) \n        v[\"i214\"] = 0.010000*np.tanh(((data[\"autocorrelation_500\"]) + ((((((-1.0*((((data[\"ffti_percentile_roll_mean_25\"]) + (data[\"min_last_50000\"])))))) * 2.0)) * 2.0)))) \n        v[\"i215\"] = 0.010000*np.tanh(((((data[\"mean_change_rate_first_1000\"]) * 2.0)) * 2.0)) \n        v[\"i216\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_std_100\"]) * ((-1.0*((data[\"ffti_min_roll_std_100\"])))))) + (data[\"ffti_Hann_window_mean_150\"]))) \n        v[\"i217\"] = 0.010000*np.tanh(data[\"ffti_min_roll_std_50\"]) \n        v[\"i218\"] = 0.010000*np.tanh((((((((((data[\"ffti_autocorrelation_100\"]) * (((data[\"fftr_av_change_abs_roll_std_1000\"]) * 2.0)))) + ((-1.0*((data[\"ffti_autocorrelation_500\"])))))/2.0)) + ((-1.0*((data[\"fftr_spkt_welch_density_1\"])))))) * 2.0)) \n        v[\"i219\"] = 0.010000*np.tanh(((((((((data[\"ffti_av_change_abs_roll_std_50\"]) * 2.0)) + (data[\"ffti_percentile_roll_std_50\"]))) + (((data[\"percentile_10\"]) / 2.0)))) + ((((((data[\"fftr_mean_change_abs\"]) + (data[\"percentile_10\"]))/2.0)) * 2.0)))) \n        v[\"i220\"] = 0.010000*np.tanh((((-1.0*(((((-1.0*((((data[\"percentile_30\"]) + (((data[\"fftr_av_change_abs_roll_mean_50\"]) * 2.0))))))) + (((data[\"min_roll_std_100\"]) - (((data[\"ffti_percentile_roll_std_40\"]) + (data[\"fftr_min_roll_std_100\"])))))))))) * 2.0)) \n        v[\"i221\"] = 0.010000*np.tanh(((((((((((data[\"percentile_10\"]) + ((((-1.0*((data[\"ffti_autocorrelation_50\"])))) * 2.0)))) + (data[\"fftr_max_roll_mean_10000\"]))) + (data[\"exp_Moving_average_30000_std\"]))) - (data[\"fftr_num_peaks_20\"]))) + (data[\"abs_percentile_20\"]))) \n        v[\"i222\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_percentile_roll_std_50\"]) * 2.0)) + (((data[\"exp_Moving_average_50000_std\"]) * 2.0)))) - (data[\"min_roll_std_100\"]))) * 2.0)) * 2.0)) - (((data[\"exp_Moving_average_50000_std\"]) * 2.0)))) \n        v[\"i223\"] = 0.010000*np.tanh(((data[\"abs_percentile_40\"]) + (((((((((((data[\"fftr_range_2000_3000\"]) * 2.0)) + (data[\"ffti_min_roll_std_10\"]))) + (data[\"ffti_min_roll_std_10\"]))) + (data[\"ffti_num_peaks_100\"]))) / 2.0)))) \n        v[\"i224\"] = 0.010000*np.tanh(((((((data[\"exp_Moving_average_30000_std\"]) - (data[\"fftr_num_peaks_100\"]))) * 2.0)) * 2.0)) \n        v[\"i225\"] = 0.010000*np.tanh(((((data[\"fftr_exp_Moving_average_30000_std\"]) * (((((((data[\"ffti_percentile_roll_std_20\"]) * 2.0)) * 2.0)) - (data[\"fftr_percentile_25\"]))))) * 2.0)) \n        v[\"i226\"] = 0.010000*np.tanh(((-2.0) + (((data[\"percentile_10\"]) * 2.0)))) \n        v[\"i227\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_roll_std_50\"]) + (data[\"range_0_1000\"]))) * 2.0)) \n        v[\"i228\"] = 0.010000*np.tanh(((((((((data[\"abs_percentile_40\"]) - (((((data[\"ffti_min_roll_std_50\"]) + (data[\"fftr_range_2000_3000\"]))) * (data[\"fftr_min_roll_std_500\"]))))) - (data[\"autocorrelation_5000\"]))) - (data[\"autocorrelation_5000\"]))) - (data[\"percentile_75\"]))) \n        v[\"i229\"] = 0.010000*np.tanh(((((((data[\"fftr_max_roll_mean_10000\"]) * 2.0)) + ((((((-1.0*((data[\"percentile_roll_std_20\"])))) * 2.0)) + (data[\"percentile_10\"]))))) * ((10.0)))) \n        v[\"i230\"] = 0.010000*np.tanh(((((-3.0) + (-2.0))) + (((-2.0) * 2.0)))) \n        v[\"i231\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_mean_95\"]) * (((-3.0) + (data[\"ave_roll_std_10000\"]))))) * 2.0)) - (((data[\"max_last_50000\"]) + (((data[\"mean_last_1000\"]) * 2.0)))))) \n        v[\"i232\"] = 0.010000*np.tanh(((((((((data[\"fftr_time_rev_asym_stat_100\"]) * 2.0)) * 2.0)) + (data[\"mean_change_rate_last_10000\"]))) * 2.0)) \n        v[\"i233\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_min_roll_std_100\"]) * 2.0)) + (data[\"abs_percentile_40\"]))) / 2.0)) * 2.0)) * 2.0)) - (data[\"abs_percentile_40\"]))) - (data[\"autocorrelation_5000\"]))) \n        v[\"i234\"] = 0.010000*np.tanh(((((data[\"fftr_range_2000_3000\"]) * 2.0)) + (((((((data[\"ffti_percentile_roll_std_20\"]) * (data[\"fftr_range_-2000_-1000\"]))) * 2.0)) * 2.0)))) \n        v[\"i235\"] = 0.010000*np.tanh((((((((((-1.0*((((data[\"fftr_percentile_95\"]) * 2.0))))) - (data[\"min_roll_std_100\"]))) + (-2.0))) - (data[\"fftr_autocorrelation_100\"]))) * 2.0)) \n        v[\"i236\"] = 0.010000*np.tanh(((data[\"mean_change_rate_last_10000\"]) + (((data[\"abs_percentile_20\"]) + (((data[\"fftr_mean_last_1000\"]) + (((data[\"fftr_mean_last_1000\"]) + (data[\"mean_change_rate_last_50000\"]))))))))) \n        v[\"i237\"] = 0.010000*np.tanh(((((data[\"fftr_max_roll_mean_10000\"]) * 2.0)) * 2.0)) \n        v[\"i238\"] = 0.010000*np.tanh(((((((data[\"mean_last_1000\"]) + ((((((((-1.0*((data[\"fftr_range_2000_3000\"])))) * 2.0)) * (data[\"percentile_roll_std_1\"]))) + ((((data[\"ffti_num_peaks_100\"]) + (data[\"fftr_av_change_abs_roll_std_1000\"]))/2.0)))))) * 2.0)) * 2.0)) \n        v[\"i239\"] = 0.010000*np.tanh((((-1.0*((((data[\"ffti_autocorrelation_500\"]) - ((((-1.0*((data[\"min_roll_std_100\"])))) - (((data[\"autocorrelation_10000\"]) * 2.0))))))))) - (data[\"min_roll_std_100\"]))) \n        v[\"i240\"] = 0.010000*np.tanh((((((((((-1.0*((data[\"ffti_autocorrelation_500\"])))) + (data[\"ffti_mean\"]))) + (data[\"min_last_10000\"]))) * 2.0)) * 2.0)) \n        v[\"i241\"] = 0.010000*np.tanh(((data[\"min_roll_std_10000\"]) - (((((data[\"min_roll_std_10000\"]) * (((((data[\"ffti_range_2000_3000\"]) * 2.0)) * 2.0)))) * 2.0)))) \n        v[\"i242\"] = 0.010000*np.tanh(((((data[\"mean_last_1000\"]) + (data[\"autocorrelation_500\"]))) + (data[\"mean_change_rate_first_1000\"]))) \n        v[\"i243\"] = 0.010000*np.tanh(((((((data[\"ffti_mean_change_rate_last_10000\"]) * 2.0)) - (data[\"max_first_50000\"]))) - (((((((data[\"fftr_autocorrelation_50\"]) - (-3.0))) * 2.0)) + (data[\"fftr_autocorrelation_50\"]))))) \n        v[\"i244\"] = 0.010000*np.tanh(((((((((data[\"ffti_min_roll_std_100\"]) - (data[\"ffti_sum\"]))) * 2.0)) * 2.0)) + (((data[\"ffti_min_roll_std_100\"]) - (data[\"autocorrelation_50\"]))))) \n        v[\"i245\"] = 0.010000*np.tanh(((((data[\"kurt\"]) + (((((data[\"fftr_abs_percentile_5\"]) - (data[\"num_peaks_10\"]))) * 2.0)))) + (data[\"fftr_av_change_abs_roll_mean_500\"]))) \n        v[\"i246\"] = 0.010000*np.tanh(((((((((data[\"abs_percentile_20\"]) + (((((((data[\"fftr_range_2000_3000\"]) / 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) - (data[\"ffti_abs_max_roll_mean_10\"]))) \n        v[\"i247\"] = 0.010000*np.tanh(((((((((((data[\"fftr_av_change_abs_roll_std_10\"]) * 2.0)) * 2.0)) + (((((data[\"fftr_min_roll_mean_10\"]) * 2.0)) / 2.0)))) * 2.0)) + (data[\"fftr_min_roll_mean_10\"]))) \n        v[\"i248\"] = 0.010000*np.tanh((((((((-1.0*((((((((data[\"mean_last_1000\"]) * (((data[\"percentile_50\"]) * 2.0)))) * 2.0)) * 2.0))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i249\"] = 0.010000*np.tanh(((data[\"min_last_10000\"]) - (((data[\"ffti_autocorrelation_500\"]) - (((data[\"classic_sta_lta6_mean\"]) - (((((((((data[\"min_roll_std_10000\"]) + (data[\"ffti_autocorrelation_500\"]))) * 2.0)) - (data[\"ffti_ave_roll_mean_100\"]))) / 2.0)))))))) \n        v[\"i250\"] = 0.010000*np.tanh(((((data[\"mean_change_rate\"]) - (((data[\"fftr_std_roll_mean_500\"]) * 2.0)))) + (((((((data[\"mean_change_rate_first_1000\"]) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i251\"] = 0.010000*np.tanh(((((((data[\"ffti_exp_Moving_std_300_mean\"]) * 2.0)) * 2.0)) + (((((((data[\"ffti_num_peaks_100\"]) + (((((data[\"skew\"]) * 2.0)) * 2.0)))) + (data[\"ffti_num_peaks_100\"]))) * 2.0)))) \n        v[\"i252\"] = 0.010000*np.tanh(((((((((data[\"fftr_mean_last_10000\"]) * 2.0)) + (((data[\"ffti_min_roll_mean_10\"]) * 2.0)))) * 2.0)) + (((data[\"percentile_10\"]) / 2.0)))) \n        v[\"i253\"] = 0.010000*np.tanh(((data[\"abs_percentile_40\"]) + (((((((((((data[\"fftr_percentile_roll_std_40\"]) + (((((data[\"ffti_min_roll_mean_10\"]) * 2.0)) * 2.0)))) + (data[\"ffti_av_change_abs_roll_std_50\"]))) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i254\"] = 0.010000*np.tanh(((data[\"ffti_percentile_roll_mean_70\"]) * (((((((data[\"abs_percentile_50\"]) - (data[\"ffti_percentile_roll_std_20\"]))) - (data[\"ffti_percentile_roll_std_20\"]))) * 2.0)))) \n        v[\"i255\"] = 0.010000*np.tanh((((((((data[\"fftr_exp_Moving_std_30000_mean\"]) * 2.0)) + (((data[\"fftr_time_rev_asym_stat_100\"]) + (data[\"fftr_mean_last_1000\"]))))/2.0)) * 2.0)) \n        v[\"i256\"] = 0.010000*np.tanh(((((((((data[\"fftr_range_2000_3000\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i257\"] = 0.010000*np.tanh(((data[\"ffti_percentile_roll_std_20\"]) + (((((-2.0) + (data[\"mean_change_rate\"]))) - (data[\"av_change_abs_roll_std_10000\"]))))) \n        v[\"i258\"] = 0.010000*np.tanh(data[\"exp_Moving_average_50000_std\"]) \n        v[\"i259\"] = 0.010000*np.tanh(data[\"range_0_1000\"]) \n        v[\"i260\"] = 0.010000*np.tanh(((((data[\"ffti_range_-3000_-2000\"]) - (data[\"ffti_percentile_roll_mean_30\"]))) * 2.0)) \n        v[\"i261\"] = 0.010000*np.tanh(((((((data[\"ffti_min_roll_std_10\"]) / 2.0)) + (((data[\"mean_last_10000\"]) + (data[\"ffti_percentile_20\"]))))) + (((((data[\"ffti_min_roll_std_10\"]) + (data[\"fftr_min_roll_mean_100\"]))) * 2.0)))) \n        v[\"i262\"] = 0.010000*np.tanh(((((((((((data[\"percentile_roll_std_75\"]) - (data[\"percentile_roll_std_5\"]))) * 2.0)) + (data[\"ffti_percentile_roll_mean_80\"]))) * 2.0)) - (data[\"percentile_roll_std_5\"]))) \n        v[\"i263\"] = 0.010000*np.tanh((((((((data[\"std_roll_mean_10000\"]) + (data[\"std_roll_mean_10000\"]))/2.0)) + (-1.0))) * 2.0)) \n        v[\"i264\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_std_50\"]) + (((((data[\"ffti_abs_percentile_1\"]) - (data[\"autocorrelation_100\"]))) * 2.0)))) * 2.0)) \n        v[\"i265\"] = 0.010000*np.tanh(data[\"fftr_av_change_abs_roll_mean_1000\"]) \n        v[\"i266\"] = 0.010000*np.tanh(((((data[\"fftr_c3_10\"]) * 2.0)) + (((data[\"moment_4\"]) - (data[\"ffti_skew\"]))))) \n        v[\"i267\"] = 0.010000*np.tanh((((-1.0*((((data[\"autocorrelation_5000\"]) + (((((((((data[\"abs_percentile_40\"]) - (data[\"percentile_roll_std_5\"]))) + (data[\"percentile_roll_std_50\"]))) * (data[\"percentile_75\"]))) + (data[\"percentile_roll_std_5\"])))))))) * 2.0)) \n        v[\"i268\"] = 0.010000*np.tanh((((-1.0*((((data[\"percentile_roll_std_5\"]) + (data[\"autocorrelation_5000\"])))))) + (data[\"percentile_roll_std_5\"]))) \n        v[\"i269\"] = 0.010000*np.tanh(((((((((((((((data[\"skew\"]) - (data[\"fftr_ave_roll_mean_500\"]))) * 2.0)) * 2.0)) * 2.0)) - (data[\"fftr_ave_roll_mean_500\"]))) * 2.0)) + (data[\"fftr_ave_roll_mean_50\"]))) \n        v[\"i270\"] = 0.010000*np.tanh(((data[\"ffti_Hann_window_mean_1500\"]) - (((data[\"fftr_percentile_80\"]) * (data[\"fftr_min_roll_std_50\"]))))) \n        v[\"i271\"] = 0.010000*np.tanh(((data[\"abs_percentile_20\"]) + (((((((((((((((data[\"ffti_percentile_roll_std_20\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * (((data[\"fftr_abs_max\"]) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i272\"] = 0.010000*np.tanh(((((-2.0) * 2.0)) + (((((-2.0) + (data[\"mean_change_rate\"]))) * 2.0)))) \n        v[\"i273\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_mean_10\"]) * 2.0)) + (((((((data[\"ffti_min_roll_mean_10\"]) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i274\"] = 0.010000*np.tanh(((((((data[\"mean_change_rate_first_50000\"]) + (((data[\"skew\"]) * 2.0)))) * 2.0)) + (((((((data[\"fftr_range_-2000_-1000\"]) * 2.0)) * 2.0)) + (data[\"fftr_min_roll_mean_100\"]))))) \n        v[\"i275\"] = 0.010000*np.tanh(((data[\"ffti_percentile_roll_std_50\"]) + (data[\"ffti_min_roll_mean_10\"]))) \n        v[\"i276\"] = 0.010000*np.tanh(((((-3.0) / 2.0)) + (data[\"ffti_min_roll_std_10\"]))) \n        v[\"i277\"] = 0.010000*np.tanh(((((data[\"fftr_abs_percentile_20\"]) * 2.0)) + (((((((data[\"percentile_10\"]) + (((data[\"ffti_percentile_roll_std_50\"]) * 2.0)))) * 2.0)) * 2.0)))) \n        v[\"i278\"] = 0.010000*np.tanh(((-1.0) + ((((-1.0*((data[\"ffti_time_rev_asym_stat_50\"])))) - (((data[\"ffti_percentile_roll_std_30\"]) * (((((data[\"ffti_classic_sta_lta6_mean\"]) * 2.0)) * 2.0)))))))) \n        v[\"i279\"] = 0.010000*np.tanh(((((((data[\"skew\"]) + (data[\"ffti_autocorrelation_5\"]))) * 2.0)) + ((((((data[\"ffti_classic_sta_lta8_mean\"]) + (data[\"ffti_autocorrelation_5\"]))/2.0)) + (((((data[\"abs_percentile_40\"]) * 2.0)) * 2.0)))))) \n        v[\"i280\"] = 0.010000*np.tanh(((data[\"ffti_num_peaks_100\"]) + (((data[\"ffti_Hann_window_mean_150\"]) + (((data[\"autocorrelation_50\"]) * (((data[\"mean_change_rate_first_10000\"]) - (data[\"autocorrelation_50\"]))))))))) \n        v[\"i281\"] = 0.010000*np.tanh((((((data[\"percentile_75\"]) + (((((((data[\"fftr_percentile_roll_std_70\"]) * 2.0)) * 2.0)) - (data[\"min_roll_std_10\"]))))/2.0)) - (((data[\"classic_sta_lta1_mean\"]) - (data[\"min_roll_std_10\"]))))) \n        v[\"i282\"] = 0.010000*np.tanh(((((data[\"ffti_av_change_abs_roll_std_50\"]) + (((data[\"ffti_range_2000_3000\"]) + (((((((data[\"ffti_av_change_abs_roll_std_50\"]) + (((data[\"exp_Moving_average_30000_std\"]) + (data[\"ffti_range_2000_3000\"]))))) * 2.0)) * 2.0)))))) + (data[\"mean_change_rate\"]))) \n        v[\"i283\"] = 0.010000*np.tanh((-1.0*((((((data[\"min_roll_std_10000\"]) + (((((((data[\"fftr_classic_sta_lta1_mean\"]) + (((data[\"autocorrelation_5000\"]) + (data[\"autocorrelation_5000\"]))))) * 2.0)) + (data[\"min_roll_std_10000\"]))))) * 2.0))))) \n        v[\"i284\"] = 0.010000*np.tanh(((((((((data[\"mean_change_rate\"]) * (((((data[\"ffti_mean\"]) + (data[\"ffti_mean\"]))) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i285\"] = 0.010000*np.tanh(((-2.0) + (((((data[\"skew\"]) * 2.0)) - (((((data[\"fftr_abs_percentile_5\"]) * 2.0)) * (data[\"fftr_abs_percentile_5\"]))))))) \n        v[\"i286\"] = 0.010000*np.tanh(((((data[\"percentile_5\"]) + (((((data[\"ffti_std_roll_mean_1000\"]) - (data[\"abs_percentile_5\"]))) + (data[\"min_last_10000\"]))))) + (data[\"abs_percentile_40\"]))) \n        v[\"i287\"] = 0.010000*np.tanh(((data[\"ffti_percentile_roll_std_20\"]) * 2.0)) \n        v[\"i288\"] = 0.010000*np.tanh(data[\"ffti_range_2000_3000\"]) \n        v[\"i289\"] = 0.010000*np.tanh(((data[\"abs_percentile_40\"]) - (((((data[\"autocorrelation_5000\"]) + (data[\"abs_percentile_75\"]))) + (((data[\"min_roll_std_10000\"]) + (data[\"autocorrelation_5000\"]))))))) \n        v[\"i290\"] = 0.010000*np.tanh(((data[\"ffti_min_roll_mean_10\"]) - (((((data[\"ffti_autocorrelation_100\"]) - (((((((data[\"ffti_exp_Moving_average_30000_std\"]) * 2.0)) * 2.0)) - (data[\"percentile_roll_std_5\"]))))) * 2.0)))) \n        v[\"i291\"] = 0.010000*np.tanh(((data[\"percentile_10\"]) - (((data[\"min_roll_std_500\"]) * 2.0)))) \n        v[\"i292\"] = 0.010000*np.tanh(((((((((data[\"ffti_num_peaks_100\"]) * 2.0)) * 2.0)) * 2.0)) + ((((-1.0*(((((-1.0*((data[\"fftr_range_-3000_-2000\"])))) / 2.0))))) * 2.0)))) \n        v[\"i293\"] = 0.010000*np.tanh(((((data[\"ffti_num_peaks_100\"]) - (data[\"autocorrelation_5000\"]))) - (((((data[\"autocorrelation_50\"]) + (data[\"autocorrelation_50\"]))) * (data[\"autocorrelation_500\"]))))) \n        v[\"i294\"] = 0.010000*np.tanh(((((((data[\"ffti_autocorrelation_5000\"]) * 2.0)) * (((data[\"fftr_abs_percentile_5\"]) + (data[\"mean_last_1000\"]))))) * 2.0)) \n        v[\"i295\"] = 0.010000*np.tanh(((((data[\"fftr_range_2000_3000\"]) + (data[\"fftr_range_2000_3000\"]))) + (((((((((data[\"fftr_range_2000_3000\"]) * 2.0)) * 2.0)) + (((data[\"mean_first_1000\"]) * 2.0)))) * 2.0)))) \n        v[\"i296\"] = 0.010000*np.tanh(((((((data[\"ffti_num_peaks_100\"]) * 2.0)) * (data[\"ffti_ave_roll_mean_10\"]))) + (((data[\"ffti_num_peaks_100\"]) + (((((data[\"ffti_ave_roll_mean_10\"]) * 2.0)) * (data[\"ffti_num_peaks_100\"]))))))) \n        v[\"i297\"] = 0.010000*np.tanh((((((((((((data[\"fftr_av_change_abs_roll_mean_500\"]) * 2.0)) * 2.0)) + (data[\"fftr_abs_percentile_5\"]))) + (((data[\"fftr_abs_percentile_5\"]) * 2.0)))) + (((((data[\"percentile_20\"]) * 2.0)) * 2.0)))/2.0)) \n        v[\"i298\"] = 0.010000*np.tanh((((((((data[\"abs_percentile_20\"]) + (((data[\"ffti_abs_percentile_1\"]) + (data[\"ffti_min_roll_mean_10\"]))))) + (((data[\"percentile_10\"]) * 2.0)))) + (data[\"fftr_abs_percentile_10\"]))/2.0)) \n        v[\"i299\"] = 0.010000*np.tanh(((data[\"percentile_40\"]) * (((((data[\"classic_sta_lta2_mean\"]) + (data[\"ffti_min_roll_mean_1000\"]))) + (((data[\"num_peaks_50\"]) + (data[\"ffti_mean_change_rate\"]))))))) \n        v[\"i300\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_std_10\"]) + (((data[\"fftr_time_rev_asym_stat_100\"]) * 2.0)))) * 2.0)) \n        v[\"i301\"] = 0.010000*np.tanh(((((((data[\"fftr_abs_percentile_5\"]) * 2.0)) + (((((data[\"ffti_mean_change_rate_last_10000\"]) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i302\"] = 0.010000*np.tanh((((((-1.0*((data[\"ffti_percentile_roll_std_50\"])))) - (((data[\"abs_percentile_20\"]) * 2.0)))) + (((data[\"abs_percentile_20\"]) - (((data[\"ffti_skew\"]) * 2.0)))))) \n        v[\"i303\"] = 0.010000*np.tanh(((data[\"moment_4\"]) + (((((((data[\"fftr_range_2000_3000\"]) - (data[\"num_peaks_10\"]))) * 2.0)) - (((data[\"num_peaks_10\"]) * 2.0)))))) \n        v[\"i304\"] = 0.010000*np.tanh(((((((((((data[\"ffti_num_peaks_100\"]) - (data[\"fftr_autocorrelation_50\"]))) * 2.0)) * 2.0)) - (data[\"ffti_av_change_abs_roll_mean_1000\"]))) + (((((((((data[\"ffti_av_change_abs_roll_std_50\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i305\"] = 0.010000*np.tanh(((((((data[\"autocorrelation_500\"]) + (data[\"autocorrelation_500\"]))) - (data[\"av_change_abs_roll_mean_100\"]))) * 2.0)) \n        v[\"i306\"] = 0.010000*np.tanh(data[\"fftr_std_roll_std_10000\"]) \n        v[\"i307\"] = 0.010000*np.tanh(((-2.0) + (((((((((((((data[\"ffti_ave_roll_mean_50\"]) + (data[\"fftr_abs_percentile_10\"]))) * 2.0)) * 2.0)) + (data[\"mean_first_1000\"]))) - (data[\"fftr_percentile_roll_mean_90\"]))) - (data[\"fftr_percentile_roll_mean_50\"]))))) \n        v[\"i308\"] = 0.010000*np.tanh(((((data[\"percentile_10\"]) * 2.0)) - (((data[\"abs_percentile_40\"]) * (data[\"ffti_mean_last_1000\"]))))) \n        v[\"i309\"] = 0.010000*np.tanh(((data[\"percentile_10\"]) + (((((data[\"abs_percentile_20\"]) / 2.0)) + (((data[\"percentile_10\"]) + (((data[\"fftr_percentile_50\"]) - (data[\"ffti_autocorrelation_500\"]))))))))) \n        v[\"i310\"] = 0.010000*np.tanh(((((data[\"min_roll_std_10\"]) - ((((((-1.0*((((-1.0) - (((data[\"ffti_min_first_50000\"]) * 2.0))))))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i311\"] = 0.010000*np.tanh(((data[\"fftr_percentile_roll_mean_80\"]) * (((data[\"abs_percentile_25\"]) + (data[\"gmean\"]))))) \n        v[\"i312\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_roll_std_50\"]) * 2.0)) + (((((data[\"ffti_min_roll_mean_500\"]) - (data[\"fftr_percentile_roll_std_70\"]))) * (data[\"ffti_percentile_roll_std_70\"]))))) \n        v[\"i313\"] = 0.010000*np.tanh(((data[\"skew\"]) + (((((data[\"fftr_sum\"]) + (((data[\"fftr_abs_percentile_10\"]) - (data[\"ffti_exp_Moving_std_300_mean\"]))))) + (((data[\"abs_percentile_20\"]) * 2.0)))))) \n        v[\"i314\"] = 0.010000*np.tanh(((((data[\"autocorrelation_50\"]) * (((data[\"fftr_kurt\"]) * 2.0)))) + (data[\"fftr_kurt\"]))) \n        v[\"i315\"] = 0.010000*np.tanh(data[\"abs_percentile_20\"]) \n        v[\"i316\"] = 0.010000*np.tanh((((data[\"av_change_abs_roll_mean_500\"]) + (((-3.0) - (data[\"fftr_classic_sta_lta8_mean\"]))))/2.0)) \n        v[\"i317\"] = 0.010000*np.tanh(((((((data[\"skew\"]) - (((data[\"autocorrelation_10000\"]) + (data[\"ffti_autocorrelation_50\"]))))) * 2.0)) * 2.0)) \n        v[\"i318\"] = 0.010000*np.tanh(((((data[\"med\"]) * (((((data[\"fftr_num_peaks_100\"]) - (data[\"min\"]))) + (((data[\"med\"]) + (data[\"fftr_num_peaks_100\"]))))))) * 2.0)) \n        v[\"i319\"] = 0.010000*np.tanh((((((((-1.0*((((((data[\"mean_last_50000\"]) * 2.0)) * 2.0))))) + ((((-1.0*((((((data[\"percentile_roll_mean_99\"]) * 2.0)) * 2.0))))) * 2.0)))) * 2.0)) + (data[\"fftr_spkt_welch_density_10\"]))) \n        v[\"i320\"] = 0.010000*np.tanh(((((((-2.0) + (((data[\"ffti_num_peaks_100\"]) * 2.0)))) + (((-2.0) + (((data[\"ffti_num_peaks_100\"]) * 2.0)))))) * 2.0)) \n        v[\"i321\"] = 0.010000*np.tanh((((((-1.0*((data[\"num_peaks_10\"])))) * (data[\"ffti_min_roll_std_100\"]))) + (((data[\"num_peaks_100\"]) + (((((data[\"num_peaks_100\"]) + (data[\"percentile_30\"]))) / 2.0)))))) \n        v[\"i322\"] = 0.010000*np.tanh(((((data[\"fftr_min\"]) - (((data[\"count_big\"]) + (data[\"fftr_percentile_roll_mean_50\"]))))) - (data[\"num_peaks_10\"]))) \n        v[\"i323\"] = 0.010000*np.tanh(((((((data[\"fftr_abs_max_roll_mean_10000\"]) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i324\"] = 0.010000*np.tanh((-1.0*((((data[\"ffti_autocorrelation_500\"]) - (data[\"ffti_percentile_roll_mean_25\"])))))) \n        v[\"i325\"] = 0.010000*np.tanh(((((((data[\"fftr_percentile_roll_mean_1\"]) * (data[\"fftr_range_3000_4000\"]))) * 2.0)) * 2.0)) \n        v[\"i326\"] = 0.010000*np.tanh(((((((data[\"ffti_percentile_roll_std_20\"]) + (data[\"ffti_min_roll_mean_10\"]))) * 2.0)) - (((((data[\"exp_Moving_average_50000_std\"]) * 2.0)) * (((((((data[\"fftr_time_rev_asym_stat_50\"]) * 2.0)) * 2.0)) - (data[\"fftr_range_2000_3000\"]))))))) \n        v[\"i327\"] = 0.010000*np.tanh(((((((data[\"fftr_mean_first_10000\"]) + (data[\"spkt_welch_density_100\"]))) * 2.0)) + (((((((data[\"ffti_abs_percentile_1\"]) - (data[\"percentile_roll_std_5\"]))) * 2.0)) * 2.0)))) \n        v[\"i328\"] = 0.010000*np.tanh(-2.0) \n        v[\"i329\"] = 0.010000*np.tanh(((((((data[\"fftr_range_2000_3000\"]) * 2.0)) * 2.0)) + (data[\"fftr_range_2000_3000\"]))) \n        v[\"i330\"] = 0.010000*np.tanh((((((-1.0*((data[\"ffti_percentile_roll_mean_50\"])))) - (data[\"autocorrelation_10000\"]))) * 2.0)) \n        v[\"i331\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_std_100\"]) + (((((data[\"skew\"]) + (data[\"skew\"]))) * 2.0)))) * 2.0)) \n        v[\"i332\"] = 0.010000*np.tanh(((((((data[\"ffti_num_peaks_100\"]) * (((data[\"ffti_Hann_window_mean_50\"]) - (data[\"ffti_mean_change_rate\"]))))) * 2.0)) * 2.0)) \n        v[\"i333\"] = 0.010000*np.tanh(((data[\"ffti_min_roll_std_100\"]) + (((data[\"ffti_Hann_window_mean_150\"]) - (data[\"autocorrelation_100\"]))))) \n        v[\"i334\"] = 0.010000*np.tanh(((((((data[\"percentile_roll_std_75\"]) - (data[\"ffti_min_roll_mean_10\"]))) + (data[\"autocorrelation_500\"]))) - (((((data[\"min_roll_std_100\"]) * 2.0)) - (data[\"mean_change_rate\"]))))) \n        v[\"i335\"] = 0.010000*np.tanh((-1.0*((data[\"fftr_autocorrelation_500\"])))) \n        v[\"i336\"] = 0.010000*np.tanh(((((((data[\"fftr_abs_percentile_10\"]) + ((((((data[\"ffti_percentile_roll_std_50\"]) * 2.0)) + (data[\"ffti_min_roll_std_1000\"]))/2.0)))) - (data[\"num_peaks_10\"]))) * 2.0)) \n        v[\"i337\"] = 0.010000*np.tanh((((((data[\"av_change_abs_roll_mean_10000\"]) + (((((((((data[\"mean_change_rate\"]) - (data[\"autocorrelation_5000\"]))) - (data[\"fftr_min_roll_mean_10\"]))) * 2.0)) * 2.0)))/2.0)) - (data[\"ffti_percentile_roll_mean_50\"]))) \n        v[\"i338\"] = 0.010000*np.tanh(((((data[\"ffti_std_roll_std_10\"]) + ((((data[\"ffti_ave_roll_mean_1000\"]) + (((data[\"fftr_abs_percentile_30\"]) - (((data[\"min_roll_std_10000\"]) * 2.0)))))/2.0)))) * 2.0)) \n        v[\"i339\"] = 0.010000*np.tanh(((((((((((data[\"fftr_max_roll_mean_10000\"]) * 2.0)) * 2.0)) * 2.0)) + (((((data[\"exp_Moving_average_50000_std\"]) * 2.0)) + (data[\"ffti_percentile_roll_std_40\"]))))) * 2.0)) \n        v[\"i340\"] = 0.010000*np.tanh(((((((data[\"fftr_abs_percentile_5\"]) + (data[\"abs_percentile_40\"]))) - (((data[\"classic_sta_lta1_mean\"]) - (((data[\"abs_percentile_40\"]) * 2.0)))))) / 2.0)) \n        v[\"i341\"] = 0.010000*np.tanh(((((((((((data[\"fftr_av_change_abs_roll_std_100\"]) * 2.0)) - (data[\"Hann_window_mean_150\"]))) - (data[\"iqr1\"]))) * 2.0)) * 2.0)) \n        v[\"i342\"] = 0.010000*np.tanh(((data[\"abs_percentile_40\"]) + (data[\"fftr_range_2000_3000\"]))) \n        v[\"i343\"] = 0.010000*np.tanh((((3.0)) * (((((data[\"autocorrelation_50\"]) * (((data[\"ffti_percentile_25\"]) - (((data[\"ffti_kurt\"]) * (((data[\"percentile_10\"]) * (data[\"percentile_10\"]))))))))) - (data[\"ffti_max_roll_mean_10\"]))))) \n        v[\"i344\"] = 0.010000*np.tanh(((((((data[\"exp_Moving_average_30000_std\"]) + (data[\"ffti_mean\"]))) - (data[\"percentile_90\"]))) + (data[\"ffti_percentile_40\"]))) \n        v[\"i345\"] = 0.010000*np.tanh(((((((((((((((((data[\"fftr_mean_first_10000\"]) + (data[\"fftr_abs_percentile_5\"]))) * 2.0)) * 2.0)) * 2.0)) + (((data[\"fftr_abs_percentile_5\"]) * 2.0)))/2.0)) * 2.0)) + (((data[\"ffti_min_roll_std_10\"]) * 2.0)))/2.0)) \n        v[\"i346\"] = 0.010000*np.tanh(((((((((data[\"fftr_num_peaks_100\"]) * (((((data[\"med\"]) * 2.0)) * 2.0)))) + (((data[\"fftr_num_peaks_100\"]) * (data[\"med\"]))))) * 2.0)) * 2.0)) \n        v[\"i347\"] = 0.010000*np.tanh(((data[\"trend\"]) * (((((data[\"ffti_num_peaks_100\"]) * 2.0)) * 2.0)))) \n        v[\"i348\"] = 0.010000*np.tanh(((data[\"fftr_av_change_abs_roll_mean_10\"]) + (((data[\"mean_last_1000\"]) * ((((-1.0*((((data[\"ffti_autocorrelation_100\"]) * 2.0))))) + (data[\"fftr_abs_percentile_5\"]))))))) \n        v[\"i349\"] = 0.010000*np.tanh(((((((((((data[\"ffti_percentile_roll_std_40\"]) + (data[\"ffti_av_change_abs_roll_mean_1000\"]))) * 2.0)) * 2.0)) + (data[\"ffti_max_to_min\"]))) + (((((data[\"abs_percentile_60\"]) * 2.0)) * (data[\"ffti_max_to_min\"]))))) \n        v[\"i350\"] = 0.010000*np.tanh(((((((data[\"mean_change_rate_first_1000\"]) * 2.0)) * 2.0)) + (((((-1.0) - (((-1.0) / 2.0)))) * 2.0)))) \n        v[\"i351\"] = 0.010000*np.tanh((((((data[\"fftr_abs_percentile_10\"]) + (data[\"fftr_abs_percentile_10\"]))/2.0)) + (data[\"av_change_rate_roll_mean_10000\"]))) \n        v[\"i352\"] = 0.010000*np.tanh(((((((((((data[\"ffti_Hann_window_mean_50\"]) - (((data[\"fftr_autocorrelation_500\"]) / 2.0)))) * 2.0)) * 2.0)) - (data[\"fftr_autocorrelation_500\"]))) * 2.0)) \n        v[\"i353\"] = 0.010000*np.tanh(((((((((((8.84529399871826172)) * ((((((8.84529399871826172)) * (data[\"fftr_range_2000_3000\"]))) * 2.0)))) * 2.0)) + (data[\"ffti_mean_last_1000\"]))/2.0)) - (data[\"fftr_num_peaks_10\"]))) \n        v[\"i354\"] = 0.010000*np.tanh(((data[\"mean_change_rate_first_1000\"]) - (data[\"ffti_percentile_roll_mean_50\"]))) \n        v[\"i355\"] = 0.010000*np.tanh(((((data[\"ffti_autocorrelation_100\"]) + (((data[\"mean_change_rate\"]) + (((((-2.0) - (data[\"ffti_autocorrelation_100\"]))) + (data[\"ffti_min_roll_mean_10\"]))))))) - ((((data[\"ffti_av_change_abs_roll_mean_1000\"]) + (data[\"ffti_max_roll_mean_100\"]))/2.0)))) \n        v[\"i356\"] = 0.010000*np.tanh(((((((((data[\"spkt_welch_density_100\"]) - (((((data[\"ffti_av_change_abs_roll_std_10\"]) * 2.0)) - (data[\"min_roll_std_10\"]))))) * 2.0)) * 2.0)) * (((data[\"spkt_welch_density_100\"]) * 2.0)))) \n        v[\"i357\"] = 0.010000*np.tanh(((data[\"fftr_abs_percentile_5\"]) * 2.0)) \n        v[\"i358\"] = 0.010000*np.tanh(((data[\"ffti_num_peaks_50\"]) + (data[\"ffti_min_roll_std_50\"]))) \n        v[\"i359\"] = 0.010000*np.tanh(data[\"fftr_abs_percentile_10\"]) \n        v[\"i360\"] = 0.010000*np.tanh(((((((data[\"ffti_mean\"]) * (data[\"fftr_av_change_rate_roll_mean_500\"]))) - (((data[\"fftr_c3_50\"]) - (data[\"fftr_range_1000_2000\"]))))) * 2.0)) \n        v[\"i361\"] = 0.010000*np.tanh(((((((((data[\"ffti_min_roll_mean_10\"]) - (data[\"ffti_percentile_roll_std_40\"]))) * 2.0)) - (((data[\"ffti_percentile_roll_mean_60\"]) - (data[\"ffti_mean_change_abs\"]))))) + (data[\"mean_change_rate\"]))) \n        v[\"i362\"] = 0.010000*np.tanh(((data[\"ffti_mean_last_1000\"]) - (data[\"ffti_mean_change_rate_first_50000\"]))) \n        v[\"i363\"] = 0.010000*np.tanh(((((((data[\"ffti_min_roll_std_100\"]) / 2.0)) * (((data[\"ffti_ave_roll_mean_100\"]) + (((data[\"ffti_ave_roll_mean_100\"]) + (data[\"ffti_Hann_window_mean_50\"]))))))) + (((data[\"mean_change_rate_last_1000\"]) + (data[\"fftr_av_change_abs_roll_std_1000\"]))))) \n        v[\"i364\"] = 0.010000*np.tanh(((data[\"abs_percentile_20\"]) + (((((data[\"fftr_min_roll_std_500\"]) * (((data[\"min_roll_std_10\"]) * 2.0)))) * (data[\"fftr_range_2000_3000\"]))))) \n        v[\"i365\"] = 0.010000*np.tanh(((((data[\"exp_Moving_average_30000_std\"]) + (((((((data[\"ffti_skew\"]) + (data[\"fftr_min_roll_std_50\"]))) * (((data[\"ffti_Hann_window_mean_50\"]) * 2.0)))) * 2.0)))) + (data[\"ffti_percentile_roll_std_50\"]))) \n        v[\"i366\"] = 0.010000*np.tanh((((data[\"fftr_std_roll_mean_100\"]) + (data[\"autocorrelation_50\"]))/2.0)) \n        v[\"i367\"] = 0.010000*np.tanh(((((((((data[\"abs_percentile_20\"]) * 2.0)) + (((data[\"fftr_min_roll_mean_10\"]) * 2.0)))) - (((data[\"mean\"]) - (data[\"fftr_autocorrelation_5000\"]))))) * 2.0)) \n        v[\"i368\"] = 0.010000*np.tanh(((((((((((((((((data[\"ffti_autocorrelation_100\"]) * (data[\"fftr_percentile_roll_std_40\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i369\"] = 0.010000*np.tanh(data[\"ffti_percentile_roll_std_40\"]) \n        v[\"i370\"] = 0.010000*np.tanh(((((((((((data[\"fftr_percentile_roll_std_25\"]) * (((((data[\"fftr_percentile_roll_std_25\"]) - (data[\"fftr_percentile_roll_std_25\"]))) - (((((data[\"ffti_mean_change_abs\"]) * 2.0)) * 2.0)))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i371\"] = 0.010000*np.tanh(data[\"percentile_10\"]) \n        v[\"i372\"] = 0.010000*np.tanh(((data[\"percentile_10\"]) + (((((data[\"percentile_10\"]) * 2.0)) + ((((((data[\"percentile_10\"]) + (data[\"percentile_10\"]))) + (((data[\"fftr_num_peaks_50\"]) * 2.0)))/2.0)))))) \n        v[\"i373\"] = 0.010000*np.tanh(((((((data[\"fftr_range_2000_3000\"]) * 2.0)) * (((3.0) - (((((data[\"min_roll_std_10\"]) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i374\"] = 0.010000*np.tanh(((data[\"fftr_time_rev_asym_stat_100\"]) - (((data[\"ffti_autocorrelation_100\"]) * (((data[\"ffti_percentile_roll_std_50\"]) + (((((data[\"ffti_percentile_roll_std_50\"]) + (data[\"max_to_min\"]))) * 2.0)))))))) \n        v[\"i375\"] = 0.010000*np.tanh((((data[\"ffti_std_first_1000\"]) + ((((((((((((data[\"classic_sta_lta2_mean\"]) * 2.0)) + (data[\"spkt_welch_density_100\"]))) + (data[\"ffti_min_roll_mean_1000\"]))/2.0)) - (data[\"min_roll_mean_10000\"]))) * 2.0)))/2.0)) \n        v[\"i376\"] = 0.010000*np.tanh(((((((data[\"ffti_range_-3000_-2000\"]) + (data[\"min_roll_mean_50\"]))) + (((((data[\"percentile_10\"]) + ((((-1.0*((data[\"fftr_percentile_roll_std_60\"])))) * 2.0)))) * 2.0)))) * 2.0)) \n        v[\"i377\"] = 0.010000*np.tanh(((data[\"spkt_welch_density_100\"]) + (((data[\"ffti_abs_percentile_1\"]) * (((data[\"fftr_min_roll_std_1000\"]) * (((((data[\"abs_percentile_40\"]) + (((data[\"ffti_min_first_1000\"]) / 2.0)))) * 2.0)))))))) \n        v[\"i378\"] = 0.010000*np.tanh(((((((((data[\"ffti_percentile_roll_std_30\"]) * 2.0)) * (((((((data[\"ffti_min\"]) * 2.0)) * 2.0)) + (data[\"fftr_Hann_window_mean_1500\"]))))) * 2.0)) * 2.0)) \n        v[\"i379\"] = 0.010000*np.tanh(((((data[\"num_peaks_100\"]) + (((data[\"ffti_ave_roll_mean_10\"]) + (((((((data[\"ffti_mean_change_rate\"]) + (data[\"ffti_mean_change_rate\"]))) + (data[\"ffti_av_change_abs_roll_std_50\"]))) * 2.0)))))) + (data[\"ffti_mean_change_rate\"]))) \n        v[\"i380\"] = 0.010000*np.tanh(((data[\"ffti_kstat_1\"]) + (((-2.0) + (((data[\"ffti_num_peaks_100\"]) + (-3.0))))))) \n        v[\"i381\"] = 0.010000*np.tanh(((((((((((((((((data[\"fftr_abs_max_roll_mean_10000\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i382\"] = 0.010000*np.tanh(((data[\"fftr_time_rev_asym_stat_100\"]) + (data[\"mean_change_rate_first_10000\"]))) \n        v[\"i383\"] = 0.010000*np.tanh(((((((((((((((((data[\"mean_first_50000\"]) * (((data[\"ffti_percentile_roll_std_20\"]) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i384\"] = 0.010000*np.tanh(((((data[\"mean_change_rate\"]) + (((((data[\"num_peaks_100\"]) - (data[\"ffti_Hilbert_mean\"]))) + (((((data[\"ffti_percentile_roll_std_50\"]) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i385\"] = 0.010000*np.tanh(data[\"ffti_min_roll_mean_10\"]) \n        v[\"i386\"] = 0.010000*np.tanh(((data[\"ffti_autocorrelation_500\"]) * (((((data[\"ffti_exp_Moving_average_30000_std\"]) * 2.0)) * 2.0)))) \n        v[\"i387\"] = 0.010000*np.tanh(((data[\"fftr_classic_sta_lta6_mean\"]) * (((((data[\"fftr_classic_sta_lta6_mean\"]) + ((((((((data[\"fftr_min_roll_std_10\"]) * 2.0)) * 2.0)) + (data[\"exp_Moving_average_30000_std\"]))/2.0)))) - ((-1.0*((data[\"fftr_min_roll_std_10\"])))))))) \n        v[\"i388\"] = 0.010000*np.tanh((((((((((data[\"classic_sta_lta2_mean\"]) * 2.0)) * 2.0)) + (((((data[\"ffti_percentile_roll_mean_25\"]) * 2.0)) * 2.0)))/2.0)) + (data[\"spkt_welch_density_100\"]))) \n        v[\"i389\"] = 0.010000*np.tanh(((-3.0) - ((((((((((-1.0*((data[\"spkt_welch_density_100\"])))) * (data[\"ffti_ave_roll_mean_500\"]))) + (((-2.0) / 2.0)))) * 2.0)) - (data[\"max_to_min_diff\"]))))) \n        v[\"i390\"] = 0.010000*np.tanh(((((data[\"moment_4\"]) * 2.0)) - (((((((((((((((data[\"mean_last_1000\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * (data[\"max_roll_mean_10000\"]))))) \n        v[\"i391\"] = 0.010000*np.tanh(((data[\"ffti_sum\"]) * (((((data[\"fftr_av_change_abs_roll_mean_10000\"]) + (data[\"ffti_sum\"]))) + (((((data[\"ffti_iqr1\"]) * (data[\"fftr_classic_sta_lta2_mean\"]))) + (data[\"fftr_av_change_abs_roll_mean_10000\"]))))))) \n        v[\"i392\"] = 0.010000*np.tanh(data[\"abs_percentile_20\"]) \n        v[\"i393\"] = 0.010000*np.tanh(((data[\"fftr_autocorrelation_10000\"]) + (((data[\"ffti_percentile_roll_std_20\"]) + (((((((((((((data[\"fftr_percentile_roll_std_40\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * (data[\"fftr_autocorrelation_100\"]))))))) \n        v[\"i394\"] = 0.010000*np.tanh(((data[\"classic_sta_lta3_mean\"]) - (((data[\"fftr_percentile_roll_mean_20\"]) + (data[\"fftr_autocorrelation_100\"]))))) \n        v[\"i395\"] = 0.010000*np.tanh(((((data[\"fftr_abs_percentile_5\"]) * 2.0)) + (((data[\"std_roll_mean_10000\"]) - (data[\"fftr_percentile_roll_mean_20\"]))))) \n        v[\"i396\"] = 0.010000*np.tanh(data[\"mean_last_1000\"]) \n        v[\"i397\"] = 0.010000*np.tanh(((((data[\"ffti_min_first_1000\"]) + (data[\"ffti_range_-3000_-2000\"]))) - (data[\"ffti_range_-3000_-2000\"]))) \n        v[\"i398\"] = 0.010000*np.tanh((((((data[\"ffti_mean_change_rate_last_10000\"]) + (((((data[\"ffti_av_change_abs_roll_mean_1000\"]) * 2.0)) * 2.0)))) + (data[\"fftr_abs_percentile_20\"]))/2.0)) \n        v[\"i399\"] = 0.010000*np.tanh(((data[\"fftr_min_roll_std_50\"]) * (data[\"ffti_ave_roll_mean_10\"]))) \n        v[\"i400\"] = 0.010000*np.tanh(((data[\"ffti_exp_Moving_average_50000_std\"]) + (((((((data[\"fftr_min_roll_std_50\"]) * (((data[\"fftr_min_roll_std_50\"]) / 2.0)))) * 2.0)) + ((((((data[\"ffti_av_change_rate_roll_mean_10000\"]) + (-3.0))) + (1.0))/2.0)))))) \n        v[\"i401\"] = 0.010000*np.tanh((((((((-1.0*((data[\"ave_roll_mean_10000\"])))) * 2.0)) - (data[\"fftr_time_rev_asym_stat_5\"]))) * 2.0)) \n        v[\"i402\"] = 0.010000*np.tanh(((((((data[\"fftr_mean_first_10000\"]) * 2.0)) + (data[\"fftr_min_last_1000\"]))) + (((data[\"min_roll_std_50\"]) * (((((data[\"fftr_abs_percentile_10\"]) * 2.0)) - (data[\"ffti_min_roll_std_10000\"]))))))) \n        v[\"i403\"] = 0.010000*np.tanh(((((((data[\"abs_percentile_10\"]) * 2.0)) - (((data[\"ffti_abs_percentile_25\"]) * (((data[\"fftr_range_2000_3000\"]) * 2.0)))))) + (data[\"ffti_num_peaks_10\"]))) \n        v[\"i404\"] = 0.010000*np.tanh(((((((((data[\"abs_percentile_40\"]) / 2.0)) * (((data[\"ffti_min_roll_mean_10\"]) * 2.0)))) + (data[\"ffti_min_first_1000\"]))) + (data[\"ffti_min_first_1000\"]))) \n        v[\"i405\"] = 0.010000*np.tanh(((data[\"fftr_time_rev_asym_stat_5\"]) + (((((((data[\"fftr_time_rev_asym_stat_5\"]) * 2.0)) + (data[\"fftr_time_rev_asym_stat_5\"]))) * (((data[\"med\"]) * 2.0)))))) \n        v[\"i406\"] = 0.010000*np.tanh(((((data[\"fftr_av_change_abs_roll_mean_500\"]) + (data[\"time_rev_asym_stat_1\"]))) * 2.0)) \n        v[\"i407\"] = 0.010000*np.tanh((((((((data[\"mean_change_rate_last_50000\"]) + (((data[\"ffti_min_roll_std_10\"]) - (data[\"fftr_time_rev_asym_stat_5\"]))))/2.0)) + (((((((data[\"ffti_percentile_roll_mean_40\"]) + (data[\"percentile_25\"]))/2.0)) + (data[\"ffti_min_roll_std_10\"]))/2.0)))) * 2.0)) \n        v[\"i408\"] = 0.010000*np.tanh(((((data[\"ffti_percentile_5\"]) / 2.0)) + (((data[\"ffti_abs_percentile_20\"]) + (((data[\"ffti_range_-3000_-2000\"]) + (data[\"percentile_10\"]))))))) \n        v[\"i409\"] = 0.010000*np.tanh(((data[\"ffti_min_roll_mean_10\"]) + (((((((((data[\"fftr_range_-3000_-2000\"]) + (data[\"std_roll_mean_10000\"]))) * 2.0)) + (data[\"fftr_range_-3000_-2000\"]))) * 2.0)))) \n        v[\"i410\"] = 0.010000*np.tanh(((((((((data[\"num_peaks_100\"]) + (data[\"min_roll_mean_50\"]))) * (data[\"autocorrelation_100\"]))) + (data[\"ffti_percentile_40\"]))) * 2.0)) \n        v[\"i411\"] = 0.010000*np.tanh(data[\"ffti_gmean\"]) \n        v[\"i412\"] = 0.010000*np.tanh(((data[\"ffti_min_roll_std_10000\"]) + (((((((((((data[\"ffti_Hann_window_mean_15000\"]) * 2.0)) * 2.0)) * 2.0)) * (((data[\"ffti_min_roll_std_50\"]) * 2.0)))) - (((data[\"fftr_percentile_roll_mean_30\"]) + (data[\"ffti_Hann_window_mean_15000\"]))))))) \n        v[\"i413\"] = 0.010000*np.tanh((((-1.0*((data[\"ffti_percentile_60\"])))) + (data[\"ave_roll_std_500\"]))) \n        v[\"i414\"] = 0.010000*np.tanh(((((((((((data[\"ffti_min_roll_std_100\"]) * 2.0)) * 2.0)) / 2.0)) - (data[\"ffti_num_peaks_20\"]))) * 2.0)) \n        v[\"i415\"] = 0.010000*np.tanh(((((((data[\"ffti_autocorrelation_50\"]) + (((((data[\"fftr_abs_max_roll_mean_100\"]) * 2.0)) * 2.0)))) * (((((data[\"fftr_percentile_roll_std_25\"]) * 2.0)) * 2.0)))) - (data[\"fftr_num_peaks_10\"]))) \n        v[\"i416\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_std_100\"]) * (data[\"ffti_percentile_roll_mean_60\"]))) + (((((data[\"ffti_av_change_abs_roll_mean_10\"]) * (data[\"ffti_percentile_roll_mean_60\"]))) * 2.0)))) \n        v[\"i417\"] = 0.010000*np.tanh(((((data[\"ffti_range_2000_3000\"]) + (((((((data[\"fftr_range_2000_3000\"]) - (((data[\"min_roll_std_10\"]) - (data[\"ffti_abs_percentile_1\"]))))) * 2.0)) * 2.0)))) * 2.0)) \n        v[\"i418\"] = 0.010000*np.tanh(((((((((((data[\"fftr_av_change_abs_roll_mean_50\"]) * 2.0)) * 2.0)) + (((data[\"ffti_autocorrelation_1000\"]) / 2.0)))) + (data[\"fftr_autocorrelation_5\"]))) + (data[\"ffti_min_roll_mean_10\"]))) \n        v[\"i419\"] = 0.010000*np.tanh(((data[\"ffti_num_peaks_100\"]) * (((((((data[\"ffti_num_peaks_100\"]) * (data[\"percentile_10\"]))) * 2.0)) - (data[\"ffti_autocorrelation_500\"]))))) \n        v[\"i420\"] = 0.010000*np.tanh(((data[\"ffti_num_peaks_10\"]) + (((((((data[\"abs_percentile_20\"]) * 2.0)) * 2.0)) + (((data[\"spkt_welch_density_100\"]) * 2.0)))))) \n        v[\"i421\"] = 0.010000*np.tanh(((((data[\"mean_change_rate_first_50000\"]) - (((data[\"range_-4000_-3000\"]) - (((((((((data[\"fftr_percentile_roll_std_70\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)))))) / 2.0)) \n        v[\"i422\"] = 0.010000*np.tanh((((((-1.0*((((data[\"abs_percentile_50\"]) * (data[\"ffti_kstat_1\"])))))) * 2.0)) + (((data[\"ffti_abs_percentile_10\"]) + (data[\"fftr_percentile_roll_mean_80\"]))))) \n        v[\"i423\"] = 0.010000*np.tanh(((data[\"fftr_min_roll_std_50\"]) * (((((((data[\"ffti_exp_Moving_average_3000_mean\"]) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i424\"] = 0.010000*np.tanh(((((data[\"ffti_mean_change_rate\"]) * 2.0)) + (((((data[\"percentile_20\"]) + (data[\"ffti_min_roll_std_10\"]))) + (data[\"ffti_percentile_roll_std_50\"]))))) \n        v[\"i425\"] = 0.010000*np.tanh(data[\"ffti_min_first_10000\"]) \n        v[\"i426\"] = 0.010000*np.tanh(((((data[\"mean_last_1000\"]) * 2.0)) * 2.0)) \n        v[\"i427\"] = 0.010000*np.tanh(((((data[\"ffti_mean_change_rate_last_10000\"]) + (data[\"ffti_mean_change_rate_last_10000\"]))) * 2.0)) \n        v[\"i428\"] = 0.010000*np.tanh(((((((-3.0) * (-3.0))) * 2.0)) * ((-1.0*((data[\"ffti_ave_roll_mean_1000\"])))))) \n        v[\"i429\"] = 0.010000*np.tanh(((((data[\"percentile_20\"]) * (data[\"autocorrelation_50\"]))) + (((data[\"autocorrelation_50\"]) + (data[\"fftr_min_last_50000\"]))))) \n        v[\"i430\"] = 0.010000*np.tanh(((data[\"ffti_ave_roll_mean_10000\"]) + (((data[\"ffti_percentile_roll_mean_20\"]) * 2.0)))) \n        v[\"i431\"] = 0.010000*np.tanh(((data[\"fftr_percentile_90\"]) - (((((((((((data[\"fftr_min_roll_std_500\"]) * (((data[\"fftr_percentile_roll_mean_25\"]) + (((data[\"fftr_percentile_90\"]) + (data[\"fftr_percentile_roll_mean_30\"]))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i432\"] = 0.010000*np.tanh(((-3.0) + (((-3.0) * 2.0)))) \n        v[\"i433\"] = 0.010000*np.tanh(((data[\"fftr_Hann_window_mean_1500\"]) * ((((-1.0*(((((data[\"fftr_abs_max_roll_mean_1000\"]) + (((data[\"fftr_min_roll_std_10\"]) - ((-1.0*((data[\"autocorrelation_10\"])))))))/2.0))))) - (data[\"ffti_num_peaks_50\"]))))) \n        v[\"i434\"] = 0.010000*np.tanh(((((((data[\"fftr_av_change_abs_roll_std_10\"]) + (data[\"fftr_av_change_abs_roll_std_10\"]))) / 2.0)) + (((data[\"abs_percentile_40\"]) * ((-1.0*((data[\"percentile_75\"])))))))) \n        v[\"i435\"] = 0.010000*np.tanh(((((((data[\"fftr_num_peaks_10\"]) * 2.0)) - (data[\"fftr_autocorrelation_50\"]))) + (data[\"mean_change_rate\"]))) \n        v[\"i436\"] = 0.010000*np.tanh(((((((data[\"percentile_10\"]) + (((data[\"percentile_10\"]) + (data[\"percentile_10\"]))))) * 2.0)) * 2.0)) \n        v[\"i437\"] = 0.010000*np.tanh(((((data[\"fftr_moment_4\"]) - (((data[\"ffti_iqr1\"]) - (data[\"min_roll_std_100\"]))))) * (-3.0))) \n        v[\"i438\"] = 0.010000*np.tanh(((((((((data[\"percentile_roll_std_90\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i439\"] = 0.010000*np.tanh(((((((data[\"fftr_kurt\"]) * (((data[\"ffti_av_change_abs_roll_std_10\"]) * 2.0)))) * 2.0)) - ((((((data[\"fftr_kurt\"]) + (((data[\"ffti_autocorrelation_50\"]) * 2.0)))/2.0)) * 2.0)))) \n        v[\"i440\"] = 0.010000*np.tanh(((data[\"ffti_av_change_abs_roll_mean_100\"]) * (((((((((((((((((data[\"ffti_num_peaks_20\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i441\"] = 0.010000*np.tanh(((((((((data[\"ffti_abs_max_roll_std_10000\"]) * 2.0)) - ((((-1.0*((data[\"fftr_range_-2000_-1000\"])))) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i442\"] = 0.010000*np.tanh(((((((data[\"ffti_num_peaks_50\"]) - (data[\"min_roll_mean_10000\"]))) - (data[\"ffti_max_to_min_diff\"]))) * 2.0)) \n        v[\"i443\"] = 0.010000*np.tanh(((data[\"fftr_min_roll_std_10\"]) * (((((data[\"ffti_classic_sta_lta6_mean\"]) * 2.0)) + (data[\"fftr_max_first_1000\"]))))) \n        v[\"i444\"] = 0.010000*np.tanh(((data[\"ffti_percentile_roll_std_80\"]) + (data[\"av_change_rate_roll_mean_500\"]))) \n        v[\"i445\"] = 0.010000*np.tanh(((((((((((data[\"ffti_num_peaks_50\"]) * (((((((data[\"classic_sta_lta1_mean\"]) * (data[\"exp_Moving_average_300_mean\"]))) / 2.0)) + (data[\"fftr_percentile_50\"]))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i446\"] = 0.010000*np.tanh(((data[\"ffti_av_change_abs_roll_mean_500\"]) - (((data[\"abs_percentile_50\"]) * (((((data[\"ffti_ave_roll_mean_10\"]) * 2.0)) + (((data[\"ffti_ave_roll_mean_50\"]) + (data[\"ffti_med\"]))))))))) \n        v[\"i447\"] = 0.009996*np.tanh(((((data[\"abs_percentile_40\"]) / 2.0)) - (data[\"percentile_70\"]))) \n        v[\"i448\"] = 0.010000*np.tanh(((data[\"fftr_abs_percentile_10\"]) * 2.0)) \n        v[\"i449\"] = 0.010000*np.tanh(((-2.0) + (((data[\"ffti_ave_roll_mean_10\"]) + (data[\"ffti_num_peaks_100\"]))))) \n        v[\"i450\"] = 0.010000*np.tanh(((((data[\"exp_Moving_std_50000_mean\"]) / 2.0)) + (((((data[\"kurt\"]) * 2.0)) + (data[\"ffti_percentile_roll_std_1\"]))))) \n        v[\"i451\"] = 0.010000*np.tanh(((((data[\"ffti_mean_change_abs\"]) * (data[\"ffti_mean_change_rate\"]))) + (((((data[\"ffti_mean_change_rate_last_10000\"]) * 2.0)) + (data[\"ffti_ave_roll_mean_50\"]))))) \n        v[\"i452\"] = 0.010000*np.tanh(((((((((((((data[\"exp_Moving_average_3000_std\"]) * (data[\"ffti_percentile_roll_mean_25\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (((((((data[\"av_change_abs_roll_mean_500\"]) * (data[\"std_roll_mean_10000\"]))) * 2.0)) * 2.0)))) \n        v[\"i453\"] = 0.010000*np.tanh(((data[\"percentile_20\"]) + (((((data[\"fftr_percentile_roll_std_10\"]) * (((data[\"min_roll_std_100\"]) - (data[\"max_to_min\"]))))) + (data[\"percentile_10\"]))))) \n        v[\"i454\"] = 0.010000*np.tanh(((((((((data[\"mean_first_50000\"]) - (data[\"fftr_exp_Moving_average_300_std\"]))) + (((data[\"fftr_percentile_roll_mean_90\"]) * 2.0)))) * 2.0)) * ((-1.0*((data[\"fftr_time_rev_asym_stat_100\"])))))) \n        v[\"i455\"] = 0.010000*np.tanh(((((((((((((((data[\"ffti_exp_Moving_average_50000_std\"]) / 2.0)) * 2.0)) - (data[\"ffti_min_roll_std_100\"]))) * (data[\"ffti_autocorrelation_500\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i456\"] = 0.010000*np.tanh(((((((((((data[\"percentile_75\"]) * (data[\"autocorrelation_5\"]))) * 2.0)) - ((-1.0*((data[\"percentile_roll_std_90\"])))))) + (((((data[\"mean_change_rate_first_10000\"]) * 2.0)) * (data[\"autocorrelation_50\"]))))) * 2.0)) \n        v[\"i457\"] = 0.010000*np.tanh(((((((data[\"ffti_abs_percentile_1\"]) - (data[\"autocorrelation_100\"]))) * 2.0)) + (data[\"mean_change_rate_first_50000\"]))) \n        v[\"i458\"] = 0.010000*np.tanh(((((((((data[\"med\"]) * (((((((data[\"fftr_num_peaks_100\"]) - (data[\"autocorrelation_10000\"]))) - (data[\"ffti_percentile_roll_mean_30\"]))) * 2.0)))) - (data[\"std_first_1000\"]))) * 2.0)) * 2.0)) \n        v[\"i459\"] = 0.010000*np.tanh(((((((((((data[\"ffti_percentile_roll_std_30\"]) * (((((((data[\"fftr_classic_sta_lta5_mean\"]) - (((data[\"fftr_classic_sta_lta5_mean\"]) * 2.0)))) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i460\"] = 0.010000*np.tanh(((((data[\"exp_Moving_average_50000_std\"]) + (data[\"fftr_range_2000_3000\"]))) * 2.0)) \n        v[\"i461\"] = 0.010000*np.tanh(((((((((((((data[\"ffti_percentile_roll_mean_25\"]) - (data[\"fftr_time_rev_asym_stat_5\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (((data[\"ffti_percentile_roll_mean_25\"]) - (data[\"fftr_time_rev_asym_stat_5\"]))))) \n        v[\"i462\"] = 0.010000*np.tanh(((((((data[\"ffti_av_change_abs_roll_mean_1000\"]) * (data[\"ffti_percentile_40\"]))) + (data[\"fftr_av_change_abs_roll_std_100\"]))) + (((data[\"abs_percentile_20\"]) + (data[\"ffti_min_roll_mean_10\"]))))) \n        v[\"i463\"] = 0.010000*np.tanh(((((((((data[\"abs_percentile_20\"]) * 2.0)) / 2.0)) * (data[\"ffti_autocorrelation_5\"]))) + ((-1.0*((data[\"ave_roll_std_10000\"])))))) \n        v[\"i464\"] = 0.010000*np.tanh(((((((((((((data[\"abs_percentile_20\"]) + (-3.0))) / 2.0)) + (data[\"ffti_min_last_10000\"]))/2.0)) + (((((data[\"abs_percentile_20\"]) * 2.0)) + (data[\"abs_percentile_20\"]))))) + (-2.0))/2.0)) \n        v[\"i465\"] = 0.010000*np.tanh(((data[\"ffti_percentile_roll_std_50\"]) + (((((data[\"ffti_trend\"]) * 2.0)) + (((data[\"min_last_10000\"]) * 2.0)))))) \n        v[\"i466\"] = 0.009996*np.tanh(((((((data[\"fftr_abs_percentile_10\"]) * 2.0)) + ((((((((((-2.0) + (data[\"mean_change_rate\"]))/2.0)) + (data[\"ffti_min_roll_mean_1000\"]))) * 2.0)) * 2.0)))) / 2.0)) \n        v[\"i467\"] = 0.010000*np.tanh(((((((((data[\"ffti_range_-3000_-2000\"]) - (data[\"autocorrelation_10000\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i468\"] = 0.010000*np.tanh(((((((data[\"min_last_50000\"]) * (((((((((((((((data[\"ffti_autocorrelation_5\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) * 2.0)) * 2.0)) \n        v[\"i469\"] = 0.010000*np.tanh(((((((data[\"abs_max_roll_mean_100\"]) - (((data[\"ffti_min_roll_std_500\"]) * (data[\"ffti_av_change_abs_roll_mean_100\"]))))) * 2.0)) * 2.0)) \n        v[\"i470\"] = 0.010000*np.tanh(((((((((data[\"ffti_min_roll_mean_10\"]) + (data[\"mean_change_rate\"]))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i471\"] = 0.010000*np.tanh(((((((((((((((data[\"fftr_min_roll_std_10\"]) * (data[\"fftr_mean_first_10000\"]))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (data[\"fftr_min_roll_std_10\"]))) \n        v[\"i472\"] = 0.010000*np.tanh(((data[\"percentile_50\"]) * (((data[\"ffti_min_roll_std_50\"]) + ((((data[\"ffti_std_last_10000\"]) + (((((((data[\"skew\"]) * 2.0)) * 2.0)) * 2.0)))/2.0)))))) \n        v[\"i473\"] = 0.010000*np.tanh(((data[\"ffti_min_roll_std_10\"]) * (data[\"percentile_50\"]))) \n        v[\"i474\"] = 0.010000*np.tanh((((((((((((data[\"ffti_ave_roll_std_10\"]) + (((data[\"fftr_min\"]) + (data[\"ffti_mean_change_rate_last_10000\"]))))/2.0)) + (data[\"ffti_mean_change_rate_last_10000\"]))) + (data[\"ffti_mean_change_rate_last_10000\"]))) * 2.0)) + (data[\"fftr_range_2000_3000\"]))) \n        v[\"i475\"] = 0.010000*np.tanh(((((((((data[\"ffti_percentile_roll_std_50\"]) + ((-1.0*((data[\"ffti_kurt\"])))))) * 2.0)) * 2.0)) + (data[\"percentile_5\"]))) \n        v[\"i476\"] = 0.010000*np.tanh(((data[\"percentile_75\"]) * ((((((8.74050235748291016)) * ((((((8.74050235748291016)) * ((((((8.74050235748291016)) * (data[\"fftr_percentile_roll_std_70\"]))) / 2.0)))) * 2.0)))) * 2.0)))) \n        v[\"i477\"] = 0.009996*np.tanh((((((((((((-3.0) * 2.0)) * 2.0)) * 2.0)) * 2.0)) + (-2.0))/2.0)) \n        v[\"i478\"] = 0.010000*np.tanh(((data[\"ffti_exp_Moving_average_30000_std\"]) * (((data[\"ffti_autocorrelation_500\"]) * 2.0)))) \n        v[\"i479\"] = 0.010000*np.tanh(data[\"mean_change_rate_first_50000\"]) \n        v[\"i480\"] = 0.010000*np.tanh(((data[\"ffti_percentile_roll_std_1\"]) + (data[\"autocorrelation_500\"]))) \n        v[\"i481\"] = 0.010000*np.tanh(((data[\"ffti_mean_change_rate_last_10000\"]) * 2.0)) \n        v[\"i482\"] = 0.010000*np.tanh(((((((data[\"av_change_abs_roll_mean_500\"]) + ((9.0)))) * (((data[\"spkt_welch_density_100\"]) * (data[\"av_change_abs_roll_mean_500\"]))))) / 2.0)) \n        v[\"i483\"] = 0.010000*np.tanh((((((data[\"ffti_min_roll_std_100\"]) * (data[\"sum\"]))) + (((data[\"ffti_min_roll_std_100\"]) * (((data[\"ffti_ave_roll_mean_50\"]) + (((((data[\"ffti_ave_roll_mean_50\"]) + (data[\"ffti_range_-1000_0\"]))) + (data[\"ffti_ave_roll_mean_50\"]))))))))/2.0)) \n        v[\"i484\"] = 0.009996*np.tanh((((((-3.0) + (-2.0))/2.0)) - (data[\"mean_change_rate_first_50000\"]))) \n        v[\"i485\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_mean_10\"]) - (((data[\"ffti_sum\"]) * (((((((data[\"min_roll_mean_10000\"]) * 2.0)) * 2.0)) * 2.0)))))) * 2.0)) \n        v[\"i486\"] = 0.010000*np.tanh(((((((((((data[\"ffti_min_roll_std_100\"]) * (data[\"classic_sta_lta8_mean\"]))) * 2.0)) * 2.0)) + (((data[\"ffti_min_roll_std_100\"]) * 2.0)))) * 2.0)) \n        v[\"i487\"] = 0.010000*np.tanh(((((data[\"fftr_percentile_roll_std_40\"]) * 2.0)) + (((((data[\"percentile_10\"]) * 2.0)) + (((((((((data[\"fftr_time_rev_asym_stat_100\"]) / 2.0)) * 2.0)) + (data[\"skew\"]))) + (data[\"ffti_min_roll_mean_10\"]))))))) \n        v[\"i488\"] = 0.010000*np.tanh(((data[\"mean_change_rate\"]) + (-2.0))) \n        v[\"i489\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_mean_10\"]) + (((((((data[\"fftr_abs_percentile_5\"]) * 2.0)) * 2.0)) * 2.0)))) + (data[\"exp_Moving_average_50000_std\"]))) \n        v[\"i490\"] = 0.010000*np.tanh(((data[\"ffti_min_first_50000\"]) * 2.0)) \n        v[\"i491\"] = 0.010000*np.tanh((((((((-1.0*((((((data[\"fftr_min_roll_std_10\"]) * 2.0)) * (((data[\"ffti_Hann_window_mean_15000\"]) * 2.0))))))) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i492\"] = 0.010000*np.tanh(((data[\"mean_change_rate_first_50000\"]) + (((data[\"mean_change_rate\"]) + (((((data[\"min_roll_mean_10\"]) - (data[\"mean_change_rate_first_10000\"]))) + (data[\"fftr_av_change_abs_roll_std_1000\"]))))))) \n        v[\"i493\"] = 0.010000*np.tanh(((((data[\"fftr_abs_percentile_1\"]) * 2.0)) - (((data[\"fftr_av_change_rate_roll_std_50\"]) + (((((data[\"ffti_max_roll_mean_1000\"]) * (data[\"fftr_abs_max_roll_mean_500\"]))) * 2.0)))))) \n        v[\"i494\"] = 0.010000*np.tanh((((((((((((((data[\"fftr_percentile_roll_mean_95\"]) * 2.0)) + (data[\"ffti_Hann_window_mean_50\"]))/2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i495\"] = 0.010000*np.tanh(((data[\"mean_change_rate_first_50000\"]) * (data[\"mean_change_rate\"]))) \n        v[\"i496\"] = 0.010000*np.tanh(((data[\"ffti_iqr1\"]) + (((((((((((data[\"av_change_abs_roll_std_100\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) * 2.0)))) \n        v[\"i497\"] = 0.010000*np.tanh((((((((((-1.0*(((-1.0*((((data[\"mean_last_1000\"]) * (data[\"ffti_autocorrelation_5000\"]))))))))) * 2.0)) * 2.0)) * 2.0)) * 2.0)) \n        v[\"i498\"] = 0.010000*np.tanh(((((((data[\"ffti_range_-3000_-2000\"]) + (data[\"std_roll_mean_10000\"]))) * 2.0)) * 2.0)) \n        v[\"i499\"] = 0.010000*np.tanh(((((((data[\"percentile_10\"]) + (((((((data[\"c3_10\"]) * 2.0)) * 2.0)) * 2.0)))) - (((data[\"percentile_1\"]) - (data[\"ffti_av_change_rate_roll_mean_100\"]))))) * 2.0)) \n        v[\"i500\"] = 0.010000*np.tanh(((((((((data[\"fftr_av_change_abs_roll_mean_50\"]) * (((data[\"ffti_exp_Moving_average_3000_mean\"]) + (data[\"fftr_autocorrelation_100\"]))))) / 2.0)) + (((data[\"fftr_av_change_abs_roll_mean_50\"]) + (data[\"fftr_num_peaks_10\"]))))) * 2.0)) \n        v[\"i501\"] = 0.010000*np.tanh(((((((data[\"ffti_min_roll_std_500\"]) * (data[\"percentile_10\"]))) + (((((data[\"ffti_ave_roll_mean_100\"]) * (((data[\"ffti_min_roll_std_100\"]) + (data[\"ffti_ave_roll_mean_100\"]))))) * 2.0)))) + (data[\"ffti_min_roll_mean_10\"]))) \n        v[\"i502\"] = 0.010000*np.tanh(((((data[\"ffti_min_roll_std_50\"]) * 2.0)) + (((((data[\"fftr_time_rev_asym_stat_1\"]) + (((((data[\"percentile_10\"]) + (((-1.0) * 2.0)))) / 2.0)))) - (((data[\"abs_percentile_40\"]) * 2.0)))))) \n        v[\"i503\"] = 0.009996*np.tanh((((((((((((data[\"ffti_min_roll_mean_10\"]) + (data[\"mean_change_rate\"]))/2.0)) * 2.0)) - (data[\"ffti_percentile_25\"]))) * 2.0)) - (((((data[\"ffti_min_roll_mean_10\"]) + (data[\"ffti_moment_3\"]))) - (data[\"ffti_percentile_roll_std_60\"]))))) \n        v[\"i504\"] = 0.010000*np.tanh(((((data[\"abs_max_roll_mean_50\"]) + (((((data[\"mean_last_1000\"]) * 2.0)) * (((data[\"fftr_min_roll_std_50\"]) * 2.0)))))) * 2.0)) \n        v[\"i505\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_percentile_roll_std_40\"]) * 2.0)) * 2.0)) * 2.0)) * (data[\"ffti_autocorrelation_100\"]))) * 2.0)) + (data[\"classic_sta_lta2_mean\"]))) \n        v[\"i506\"] = 0.010000*np.tanh(((((((data[\"min_roll_std_10\"]) * 2.0)) - ((((((-1.0*(((-1.0*((data[\"num_peaks_100\"]))))))) + (-3.0))) * 2.0)))) * (((data[\"ffti_percentile_roll_std_60\"]) + (-3.0))))) \n        v[\"i507\"] = 0.010000*np.tanh(((((((((((((data[\"fftr_max_roll_mean_10000\"]) * 2.0)) * 2.0)) * 2.0)) * 2.0)) - (((((data[\"fftr_max_roll_mean_10000\"]) * 2.0)) * 2.0)))) * (data[\"ffti_sum\"]))) \n        v[\"i508\"] = 0.010000*np.tanh((((-1.0*((((data[\"exp_Moving_average_50000_std\"]) * (data[\"max_roll_mean_10\"])))))) - (data[\"autocorrelation_50\"]))) \n        v[\"i509\"] = 0.010000*np.tanh(((((((((((data[\"fftr_range_2000_3000\"]) * 2.0)) * 2.0)) + (data[\"fftr_range_2000_3000\"]))) * 2.0)) + (((data[\"fftr_range_2000_3000\"]) * 2.0)))) \n        v[\"i510\"] = 0.010000*np.tanh(data[\"autocorrelation_10000\"]) \n        v[\"i511\"] = 0.010000*np.tanh((-1.0*((((data[\"fftr_min_roll_std_50\"]) * 2.0))))) \n        v[\"i512\"] = 0.010000*np.tanh(((((((data[\"fftr_spkt_welch_density_10\"]) + (data[\"mean_change_rate\"]))) + (((data[\"ffti_min_roll_std_10\"]) * 2.0)))) - (3.0)))\n        return v[v.columns[:n]].sum(axis=1)","execution_count":19,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"gp = GP()\no = gp.GrabPredictions(alldata[:y.shape[0]],513)","execution_count":20,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"log_loss(alldata[:y.shape[0]].target_0,o.class_0)","execution_count":21,"outputs":[{"output_type":"execute_result","execution_count":21,"data":{"text/plain":"0.40300236577974125"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"log_loss(alldata[:y.shape[0]].target_1,o.class_1)","execution_count":22,"outputs":[{"output_type":"execute_result","execution_count":22,"data":{"text/plain":"0.6031674166386606"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"log_loss(alldata[:y.shape[0]].target_2,o.class_2)","execution_count":23,"outputs":[{"output_type":"execute_result","execution_count":23,"data":{"text/plain":"0.5147977108896208"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"oof_preds = gp.GrabPredictions(alldata[:y.shape[0]],513).values\nsub_preds = gp.GrabPredictions(alldata[y.shape[0]:],513).values","execution_count":24,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"oof_preds[0]","execution_count":25,"outputs":[{"output_type":"execute_result","execution_count":25,"data":{"text/plain":"array([0.75539511, 0.2190648 , 0.02554009])"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"params = np.linalg.lstsq(oof_preds, y.target,rcond=-1)[0]","execution_count":26,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"params","execution_count":27,"outputs":[{"output_type":"execute_result","execution_count":27,"data":{"text/plain":"array([ 1.57712574,  7.91315986, 10.26991291])"},"metadata":{}}]},{"metadata":{"trusted":true},"cell_type":"code","source":"trainpreds = np.dot(oof_preds,params)\nprint(mean_absolute_error(y.target,trainpreds))","execution_count":28,"outputs":[{"output_type":"stream","text":"1.8830865750553414\n","name":"stdout"}]},{"metadata":{"trusted":true},"cell_type":"code","source":"testpreds = np.dot(sub_preds,params)\nsub = pd.DataFrame({'seg_id':submission.seg_id, 'time_to_failure':testpreds})\nsub.to_csv('gpcut.csv',index=False)\n\n","execution_count":29,"outputs":[]},{"metadata":{"trusted":true},"cell_type":"code","source":"","execution_count":null,"outputs":[]}],"metadata":{"kernelspec":{"display_name":"Python 3","language":"python","name":"python3"},"language_info":{"codemirror_mode":{"name":"ipython","version":3},"file_extension":".py","mimetype":"text/x-python","name":"python","nbconvert_exporter":"python","pygments_lexer":"ipython3","version":"3.7.1"}},"nbformat":4,"nbformat_minor":1}