diff --git a/src/constantinople_lab_to_nwb/mah_2024/tutorials/mah_2024_example_notebook.ipynb b/src/constantinople_lab_to_nwb/mah_2024/tutorials/mah_2024_example_notebook.ipynb
index 679799b..152609e 100644
--- a/src/constantinople_lab_to_nwb/mah_2024/tutorials/mah_2024_example_notebook.ipynb
+++ b/src/constantinople_lab_to_nwb/mah_2024/tutorials/mah_2024_example_notebook.ipynb
@@ -37,6 +37,7 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 1,
    "id": "52d493c5-1c7a-487f-971c-4e3ef6442abe",
    "metadata": {
     "ExecuteTime": {
@@ -44,17 +45,16 @@
      "start_time": "2024-08-28T11:41:15.123900Z"
     }
    },
+   "outputs": [],
    "source": [
     "from pynwb import NWBHDF5IO\n",
     "import ndx_structured_behavior\n",
     "\n",
-    "nwbfile_path = \"/Volumes/T9/Constantinople/nwbfiles/C005_RWTautowait_20190909_1456292.nwb\"\n",
+    "nwbfile_path = \"/Users/weian/data/nwbfiles/sub-J076_ses-RWTautowait2-20230721-130627.nwb\"\n",
     "\n",
     "io = NWBHDF5IO(nwbfile_path, \"r\")\n",
     "nwbfile = io.read()"
-   ],
-   "outputs": [],
-   "execution_count": 1
+   ]
   },
   {
    "cell_type": "markdown",
@@ -76,7 +76,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 2,
    "id": "662468a8-23c6-4d90-8070-0575579b7e44",
    "metadata": {},
    "outputs": [
@@ -138,7 +138,7 @@
        "3    right_port_poke"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -158,7 +158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 3,
    "id": "2c1a5c0e-e4b6-4c16-af8a-fdaef0ffa353",
    "metadata": {},
    "outputs": [
@@ -205,7 +205,7 @@
        "0   sound_output"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -225,7 +225,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 4,
    "id": "3ecfb7c9-e58f-4856-8916-e73d16bb326e",
    "metadata": {},
    "outputs": [
@@ -268,27 +268,31 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>go_cue</td>\n",
+       "      <td>punish_violation</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>wait_for_side_poke</td>\n",
+       "      <td>go_cue</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>announce_reward</td>\n",
+       "      <td>wait_for_side_poke</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>reward</td>\n",
+       "      <td>announce_reward</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>punish_violation</td>\n",
+       "      <td>opt_out</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>opt_out</td>\n",
+       "      <td>reward</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>stop_sound</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -299,15 +303,16 @@
        "id                    \n",
        "0        wait_for_poke\n",
        "1       nose_in_center\n",
-       "2               go_cue\n",
-       "3   wait_for_side_poke\n",
-       "4      announce_reward\n",
-       "5               reward\n",
-       "6     punish_violation\n",
-       "7              opt_out"
+       "2     punish_violation\n",
+       "3               go_cue\n",
+       "4   wait_for_side_poke\n",
+       "5      announce_reward\n",
+       "6              opt_out\n",
+       "7               reward\n",
+       "8           stop_sound"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -326,7 +331,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 5,
    "id": "68998e44-3eb6-484e-8548-04de7a3816bd",
    "metadata": {},
    "outputs": [
@@ -379,7 +384,7 @@
        "      <th>1</th>\n",
        "      <td>nose_in_center</td>\n",
        "      <td>The time in seconds when the animal is require...</td>\n",
-       "      <td>0.8692142692974026</td>\n",
+       "      <td>0.9483330026671162</td>\n",
        "      <td>double</td>\n",
        "      <td>numeric</td>\n",
        "    </tr>\n",
@@ -409,23 +414,23 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>5</th>\n",
-       "      <td>delay_to_reward</td>\n",
-       "      <td>The delay in seconds from the end of NoseInCen...</td>\n",
-       "      <td>4.135626626614768</td>\n",
+       "      <td>reward_delay</td>\n",
+       "      <td>The delay in seconds to receive reward, drawn ...</td>\n",
+       "      <td>0.606090503076149</td>\n",
        "      <td>double</td>\n",
        "      <td>numeric</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>6</th>\n",
-       "      <td>target_delay_to_reward</td>\n",
-       "      <td>The target delay in seconds from the end of No...</td>\n",
+       "      <td>target_reward_delay</td>\n",
+       "      <td>The target delay in seconds to receive reward.</td>\n",
        "      <td>1.5</td>\n",
        "      <td>double</td>\n",
        "      <td>numeric</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>7</th>\n",
-       "      <td>time_increment_for_delay_to_reward</td>\n",
+       "      <td>time_increment_for_reward_delay</td>\n",
        "      <td>The time increment during monotonic increase o...</td>\n",
        "      <td>0.025</td>\n",
        "      <td>double</td>\n",
@@ -435,84 +440,36 @@
        "      <th>8</th>\n",
        "      <td>violation_time_out</td>\n",
        "      <td>The time-out if nose is center is not satisfie...</td>\n",
-       "      <td>2</td>\n",
+       "      <td>1</td>\n",
        "      <td>double</td>\n",
        "      <td>numeric</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>9</th>\n",
-       "      <td>num_trials_in_stage_2</td>\n",
-       "      <td>Determines how many trials occur in stage 2 be...</td>\n",
-       "      <td>1</td>\n",
-       "      <td>integer</td>\n",
-       "      <td>numeric</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>10</th>\n",
-       "      <td>num_trials_in_stage_4</td>\n",
-       "      <td>Determines how many trials occur in stage 4 be...</td>\n",
-       "      <td>250</td>\n",
-       "      <td>integer</td>\n",
-       "      <td>numeric</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>11</th>\n",
-       "      <td>num_trials_in_stage_5</td>\n",
-       "      <td>Determines how many trials occur in stage 5 be...</td>\n",
-       "      <td>250</td>\n",
-       "      <td>integer</td>\n",
-       "      <td>numeric</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>12</th>\n",
-       "      <td>num_trials_in_stage_6</td>\n",
-       "      <td>Determines how many trials occur in stage 6 be...</td>\n",
-       "      <td>250</td>\n",
-       "      <td>integer</td>\n",
-       "      <td>numeric</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>13</th>\n",
-       "      <td>num_trials_in_stage_3</td>\n",
-       "      <td>Determines how many trials occur in stage 3 be...</td>\n",
-       "      <td>400</td>\n",
-       "      <td>integer</td>\n",
-       "      <td>numeric</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>14</th>\n",
-       "      <td>num_trials_in_stage_8</td>\n",
-       "      <td>Determines how many trials occur in stage 8 be...</td>\n",
-       "      <td>250</td>\n",
-       "      <td>integer</td>\n",
-       "      <td>numeric</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>15</th>\n",
        "      <td>block_type</td>\n",
-       "      <td>The block type (High, Low or Test).</td>\n",
+       "      <td>The block type (High, Low or Mixed). High and ...</td>\n",
        "      <td>High</td>\n",
        "      <td>string</td>\n",
        "      <td>string</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>16</th>\n",
-       "      <td>num_trials_in_test_blocks</td>\n",
-       "      <td>The number of trials in test blocks.</td>\n",
-       "      <td>80</td>\n",
+       "      <th>10</th>\n",
+       "      <td>num_trials_in_mixed_blocks</td>\n",
+       "      <td>The number of trials in each mixed blocks.</td>\n",
+       "      <td>40</td>\n",
        "      <td>integer</td>\n",
        "      <td>numeric</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>17</th>\n",
+       "      <th>11</th>\n",
        "      <td>num_trials_in_adaptation_blocks</td>\n",
-       "      <td>The number of trials in adaptation blocks.</td>\n",
-       "      <td>80</td>\n",
+       "      <td>The number of trials in each high reward (20, ...</td>\n",
+       "      <td>40</td>\n",
        "      <td>integer</td>\n",
        "      <td>numeric</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>18</th>\n",
+       "      <th>12</th>\n",
        "      <td>punish_sound_enabled</td>\n",
        "      <td>Whether to play a white noise pulse on error.</td>\n",
        "      <td>True</td>\n",
@@ -520,15 +477,15 @@
        "      <td>boolean</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>19</th>\n",
+       "      <th>13</th>\n",
        "      <td>catch_percentage</td>\n",
        "      <td>The percentage of catch trials.</td>\n",
-       "      <td>0.15</td>\n",
+       "      <td>0.25</td>\n",
        "      <td>double</td>\n",
        "      <td>numeric</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>20</th>\n",
+       "      <th>14</th>\n",
        "      <td>is_catch</td>\n",
        "      <td>Whether the trial is a catch trial.</td>\n",
        "      <td>False</td>\n",
@@ -536,7 +493,7 @@
        "      <td>boolean</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>21</th>\n",
+       "      <th>15</th>\n",
        "      <td>current_trial</td>\n",
        "      <td>The current trial number.</td>\n",
        "      <td>0</td>\n",
@@ -544,7 +501,7 @@
        "      <td>numeric</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>22</th>\n",
+       "      <th>16</th>\n",
        "      <td>cumulative_reward_volume_ul</td>\n",
        "      <td>The cumulative volume received during session ...</td>\n",
        "      <td>0</td>\n",
@@ -552,7 +509,7 @@
        "      <td>numeric</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>23</th>\n",
+       "      <th>17</th>\n",
        "      <td>is_warm_up</td>\n",
        "      <td>Whether the trial is warm-up.</td>\n",
        "      <td>False</td>\n",
@@ -560,15 +517,39 @@
        "      <td>boolean</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>24</th>\n",
+       "      <th>18</th>\n",
+       "      <td>override_nose_in_center</td>\n",
+       "      <td>Whether the required time for maintaining cent...</td>\n",
+       "      <td>False</td>\n",
+       "      <td>boolean</td>\n",
+       "      <td>boolean</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
        "      <td>trials_in_stage</td>\n",
        "      <td>The cumulative number of trials in the stages.</td>\n",
-       "      <td>23023</td>\n",
+       "      <td>50400</td>\n",
        "      <td>integer</td>\n",
        "      <td>numeric</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>25</th>\n",
+       "      <th>20</th>\n",
+       "      <td>min_reward_volume_ul</td>\n",
+       "      <td>The minimum volume of reward in microliters. (...</td>\n",
+       "      <td>5</td>\n",
+       "      <td>double</td>\n",
+       "      <td>numeric</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>high_ITI</td>\n",
+       "      <td>Task parameter.</td>\n",
+       "      <td>0</td>\n",
+       "      <td>double</td>\n",
+       "      <td>numeric</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
        "      <td>auto_change_catch_probability</td>\n",
        "      <td>Whether to change the probability automaticall...</td>\n",
        "      <td>False</td>\n",
@@ -576,7 +557,7 @@
        "      <td>boolean</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>26</th>\n",
+       "      <th>23</th>\n",
        "      <td>previous_was_violation</td>\n",
        "      <td>Whether the previous trial was a violation.</td>\n",
        "      <td>False</td>\n",
@@ -584,13 +565,37 @@
        "      <td>boolean</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>27</th>\n",
+       "      <th>24</th>\n",
        "      <td>changed</td>\n",
        "      <td>Whether a block transition occurred for the tr...</td>\n",
        "      <td>False</td>\n",
        "      <td>boolean</td>\n",
        "      <td>boolean</td>\n",
        "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>num_trials_in_stage_3</td>\n",
+       "      <td>Determines how many trials occur in stage 3 be...</td>\n",
+       "      <td>400</td>\n",
+       "      <td>integer</td>\n",
+       "      <td>numeric</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>num_trials_in_stage_8</td>\n",
+       "      <td>Determines how many trials occur in stage 8 be...</td>\n",
+       "      <td>250</td>\n",
+       "      <td>integer</td>\n",
+       "      <td>numeric</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>center_port_cue</td>\n",
+       "      <td>Task parameter.</td>\n",
+       "      <td>False</td>\n",
+       "      <td>boolean</td>\n",
+       "      <td>boolean</td>\n",
+       "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
@@ -603,60 +608,60 @@
        "2    time_increment_for_nose_in_center   \n",
        "3   target_duration_for_nose_in_center   \n",
        "4                       training_stage   \n",
-       "5                      delay_to_reward   \n",
-       "6               target_delay_to_reward   \n",
-       "7   time_increment_for_delay_to_reward   \n",
+       "5                         reward_delay   \n",
+       "6                  target_reward_delay   \n",
+       "7      time_increment_for_reward_delay   \n",
        "8                   violation_time_out   \n",
-       "9                num_trials_in_stage_2   \n",
-       "10               num_trials_in_stage_4   \n",
-       "11               num_trials_in_stage_5   \n",
-       "12               num_trials_in_stage_6   \n",
-       "13               num_trials_in_stage_3   \n",
-       "14               num_trials_in_stage_8   \n",
-       "15                          block_type   \n",
-       "16           num_trials_in_test_blocks   \n",
-       "17     num_trials_in_adaptation_blocks   \n",
-       "18                punish_sound_enabled   \n",
-       "19                    catch_percentage   \n",
-       "20                            is_catch   \n",
-       "21                       current_trial   \n",
-       "22         cumulative_reward_volume_ul   \n",
-       "23                          is_warm_up   \n",
-       "24                     trials_in_stage   \n",
-       "25       auto_change_catch_probability   \n",
-       "26              previous_was_violation   \n",
-       "27                             changed   \n",
+       "9                           block_type   \n",
+       "10          num_trials_in_mixed_blocks   \n",
+       "11     num_trials_in_adaptation_blocks   \n",
+       "12                punish_sound_enabled   \n",
+       "13                    catch_percentage   \n",
+       "14                            is_catch   \n",
+       "15                       current_trial   \n",
+       "16         cumulative_reward_volume_ul   \n",
+       "17                          is_warm_up   \n",
+       "18             override_nose_in_center   \n",
+       "19                     trials_in_stage   \n",
+       "20                min_reward_volume_ul   \n",
+       "21                            high_ITI   \n",
+       "22       auto_change_catch_probability   \n",
+       "23              previous_was_violation   \n",
+       "24                             changed   \n",
+       "25               num_trials_in_stage_3   \n",
+       "26               num_trials_in_stage_8   \n",
+       "27                     center_port_cue   \n",
        "\n",
        "                                 argument_description          expression  \\\n",
        "id                                                                          \n",
        "0                The volume of reward in microliters.                  20   \n",
-       "1   The time in seconds when the animal is require...  0.8692142692974026   \n",
+       "1   The time in seconds when the animal is require...  0.9483330026671162   \n",
        "2   The time increment for nose in center in seconds.                   0   \n",
        "3   The goal for how long the animal must poke cen...                   1   \n",
        "4                          The stage of the training.                   9   \n",
-       "5   The delay in seconds from the end of NoseInCen...   4.135626626614768   \n",
-       "6   The target delay in seconds from the end of No...                 1.5   \n",
+       "5   The delay in seconds to receive reward, drawn ...   0.606090503076149   \n",
+       "6      The target delay in seconds to receive reward.                 1.5   \n",
        "7   The time increment during monotonic increase o...               0.025   \n",
-       "8   The time-out if nose is center is not satisfie...                   2   \n",
-       "9   Determines how many trials occur in stage 2 be...                   1   \n",
-       "10  Determines how many trials occur in stage 4 be...                 250   \n",
-       "11  Determines how many trials occur in stage 5 be...                 250   \n",
-       "12  Determines how many trials occur in stage 6 be...                 250   \n",
-       "13  Determines how many trials occur in stage 3 be...                 400   \n",
-       "14  Determines how many trials occur in stage 8 be...                 250   \n",
-       "15                The block type (High, Low or Test).                High   \n",
-       "16               The number of trials in test blocks.                  80   \n",
-       "17         The number of trials in adaptation blocks.                  80   \n",
-       "18      Whether to play a white noise pulse on error.                True   \n",
-       "19                    The percentage of catch trials.                0.15   \n",
-       "20                Whether the trial is a catch trial.               False   \n",
-       "21                          The current trial number.                   0   \n",
-       "22  The cumulative volume received during session ...                   0   \n",
-       "23                      Whether the trial is warm-up.               False   \n",
-       "24     The cumulative number of trials in the stages.               23023   \n",
-       "25  Whether to change the probability automaticall...               False   \n",
-       "26        Whether the previous trial was a violation.               False   \n",
-       "27  Whether a block transition occurred for the tr...               False   \n",
+       "8   The time-out if nose is center is not satisfie...                   1   \n",
+       "9   The block type (High, Low or Mixed). High and ...                High   \n",
+       "10         The number of trials in each mixed blocks.                  40   \n",
+       "11  The number of trials in each high reward (20, ...                  40   \n",
+       "12      Whether to play a white noise pulse on error.                True   \n",
+       "13                    The percentage of catch trials.                0.25   \n",
+       "14                Whether the trial is a catch trial.               False   \n",
+       "15                          The current trial number.                   0   \n",
+       "16  The cumulative volume received during session ...                   0   \n",
+       "17                      Whether the trial is warm-up.               False   \n",
+       "18  Whether the required time for maintaining cent...               False   \n",
+       "19     The cumulative number of trials in the stages.               50400   \n",
+       "20  The minimum volume of reward in microliters. (...                   5   \n",
+       "21                                    Task parameter.                   0   \n",
+       "22  Whether to change the probability automaticall...               False   \n",
+       "23        Whether the previous trial was a violation.               False   \n",
+       "24  Whether a block transition occurred for the tr...               False   \n",
+       "25  Determines how many trials occur in stage 3 be...                 400   \n",
+       "26  Determines how many trials occur in stage 8 be...                 250   \n",
+       "27                                    Task parameter.               False   \n",
        "\n",
        "   expression_type output_type  \n",
        "id                              \n",
@@ -669,28 +674,28 @@
        "6           double     numeric  \n",
        "7           double     numeric  \n",
        "8           double     numeric  \n",
-       "9          integer     numeric  \n",
+       "9           string      string  \n",
        "10         integer     numeric  \n",
        "11         integer     numeric  \n",
-       "12         integer     numeric  \n",
-       "13         integer     numeric  \n",
-       "14         integer     numeric  \n",
-       "15          string      string  \n",
-       "16         integer     numeric  \n",
-       "17         integer     numeric  \n",
+       "12         boolean     boolean  \n",
+       "13          double     numeric  \n",
+       "14         boolean     boolean  \n",
+       "15         integer     numeric  \n",
+       "16          double     numeric  \n",
+       "17         boolean     boolean  \n",
        "18         boolean     boolean  \n",
-       "19          double     numeric  \n",
-       "20         boolean     boolean  \n",
-       "21         integer     numeric  \n",
-       "22          double     numeric  \n",
+       "19         integer     numeric  \n",
+       "20          double     numeric  \n",
+       "21          double     numeric  \n",
+       "22         boolean     boolean  \n",
        "23         boolean     boolean  \n",
-       "24         integer     numeric  \n",
-       "25         boolean     boolean  \n",
-       "26         boolean     boolean  \n",
+       "24         boolean     boolean  \n",
+       "25         integer     numeric  \n",
+       "26         integer     numeric  \n",
        "27         boolean     boolean  "
       ]
      },
-     "execution_count": 23,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -713,7 +718,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 67,
+   "execution_count": 6,
    "id": "21dab6d0-0392-48f3-9c1b-65055bab99bb",
    "metadata": {},
    "outputs": [
@@ -747,38 +752,38 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>18321.2148</td>\n",
-       "      <td>3</td>\n",
+       "      <td>42.9993</td>\n",
+       "      <td>2</td>\n",
        "      <td>In</td>\n",
-       "      <td>right_port_poke</td>\n",
+       "      <td>center_port_poke</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>18321.2733</td>\n",
-       "      <td>3</td>\n",
+       "      <td>43.1775</td>\n",
+       "      <td>2</td>\n",
        "      <td>In</td>\n",
-       "      <td>right_port_poke</td>\n",
+       "      <td>center_port_poke</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>18388.1032</td>\n",
-       "      <td>3</td>\n",
-       "      <td>In</td>\n",
-       "      <td>right_port_poke</td>\n",
+       "      <td>43.0395</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Out</td>\n",
+       "      <td>center_port_poke</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>18392.6948</td>\n",
-       "      <td>3</td>\n",
-       "      <td>In</td>\n",
-       "      <td>right_port_poke</td>\n",
+       "      <td>43.3815</td>\n",
+       "      <td>2</td>\n",
+       "      <td>Out</td>\n",
+       "      <td>center_port_poke</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>18392.8286</td>\n",
-       "      <td>3</td>\n",
-       "      <td>In</td>\n",
-       "      <td>right_port_poke</td>\n",
+       "      <td>44.0395</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Expired</td>\n",
+       "      <td>state_timer</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -788,63 +793,63 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9940</th>\n",
-       "      <td>24398.9252</td>\n",
-       "      <td>3</td>\n",
+       "      <th>19161</th>\n",
+       "      <td>5270.2239</td>\n",
+       "      <td>2</td>\n",
        "      <td>Out</td>\n",
-       "      <td>right_port_poke</td>\n",
+       "      <td>center_port_poke</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9941</th>\n",
-       "      <td>24401.8246</td>\n",
-       "      <td>3</td>\n",
-       "      <td>Out</td>\n",
-       "      <td>right_port_poke</td>\n",
+       "      <th>19162</th>\n",
+       "      <td>5271.2239</td>\n",
+       "      <td>0</td>\n",
+       "      <td>Expired</td>\n",
+       "      <td>state_timer</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9942</th>\n",
-       "      <td>24406.3278</td>\n",
-       "      <td>3</td>\n",
-       "      <td>Out</td>\n",
-       "      <td>right_port_poke</td>\n",
+       "      <th>19163</th>\n",
+       "      <td>5308.2722</td>\n",
+       "      <td>2</td>\n",
+       "      <td>In</td>\n",
+       "      <td>center_port_poke</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9943</th>\n",
-       "      <td>24406.3543</td>\n",
-       "      <td>3</td>\n",
+       "      <th>19164</th>\n",
+       "      <td>5308.2948</td>\n",
+       "      <td>2</td>\n",
        "      <td>Out</td>\n",
-       "      <td>right_port_poke</td>\n",
+       "      <td>center_port_poke</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>9944</th>\n",
-       "      <td>24404.8966</td>\n",
+       "      <th>19165</th>\n",
+       "      <td>5309.2948</td>\n",
        "      <td>0</td>\n",
-       "      <td>Off</td>\n",
+       "      <td>Expired</td>\n",
        "      <td>state_timer</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>9945 rows × 4 columns</p>\n",
+       "<p>19166 rows × 4 columns</p>\n",
        "</div>"
       ],
       "text/plain": [
-       "       timestamp  event_type value       event_name\n",
-       "0     18321.2148           3    In  right_port_poke\n",
-       "1     18321.2733           3    In  right_port_poke\n",
-       "2     18388.1032           3    In  right_port_poke\n",
-       "3     18392.6948           3    In  right_port_poke\n",
-       "4     18392.8286           3    In  right_port_poke\n",
-       "...          ...         ...   ...              ...\n",
-       "9940  24398.9252           3   Out  right_port_poke\n",
-       "9941  24401.8246           3   Out  right_port_poke\n",
-       "9942  24406.3278           3   Out  right_port_poke\n",
-       "9943  24406.3543           3   Out  right_port_poke\n",
-       "9944  24404.8966           0   Off      state_timer\n",
+       "       timestamp  event_type    value        event_name\n",
+       "0        42.9993           2       In  center_port_poke\n",
+       "1        43.1775           2       In  center_port_poke\n",
+       "2        43.0395           2      Out  center_port_poke\n",
+       "3        43.3815           2      Out  center_port_poke\n",
+       "4        44.0395           0  Expired       state_timer\n",
+       "...          ...         ...      ...               ...\n",
+       "19161  5270.2239           2      Out  center_port_poke\n",
+       "19162  5271.2239           0  Expired       state_timer\n",
+       "19163  5308.2722           2       In  center_port_poke\n",
+       "19164  5308.2948           2      Out  center_port_poke\n",
+       "19165  5309.2948           0  Expired       state_timer\n",
        "\n",
-       "[9945 rows x 4 columns]"
+       "[19166 rows x 4 columns]"
       ]
      },
-     "execution_count": 67,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -870,7 +875,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 71,
+   "execution_count": 7,
    "id": "18183143-c735-427f-a54f-43d03e81f8c3",
    "metadata": {},
    "outputs": [
@@ -904,35 +909,35 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>17950.0908</td>\n",
+       "      <td>16.2117</td>\n",
        "      <td>0</td>\n",
        "      <td>On</td>\n",
        "      <td>sound_output</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>17950.0909</td>\n",
+       "      <td>16.4018</td>\n",
        "      <td>0</td>\n",
        "      <td>On</td>\n",
        "      <td>sound_output</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>18391.2434</td>\n",
+       "      <td>42.9994</td>\n",
        "      <td>0</td>\n",
        "      <td>On</td>\n",
        "      <td>sound_output</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>18391.2435</td>\n",
+       "      <td>43.0396</td>\n",
        "      <td>0</td>\n",
        "      <td>On</td>\n",
        "      <td>sound_output</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>18390.3722</td>\n",
+       "      <td>43.5398</td>\n",
        "      <td>0</td>\n",
        "      <td>On</td>\n",
        "      <td>sound_output</td>\n",
@@ -942,15 +947,15 @@
        "</div>"
       ],
       "text/plain": [
-       "    timestamp  action_type value   action_name\n",
-       "0  17950.0908            0    On  sound_output\n",
-       "1  17950.0909            0    On  sound_output\n",
-       "2  18391.2434            0    On  sound_output\n",
-       "3  18391.2435            0    On  sound_output\n",
-       "4  18390.3722            0    On  sound_output"
+       "   timestamp  action_type value   action_name\n",
+       "0    16.2117            0    On  sound_output\n",
+       "1    16.4018            0    On  sound_output\n",
+       "2    42.9994            0    On  sound_output\n",
+       "3    43.0396            0    On  sound_output\n",
+       "4    43.5398            0    On  sound_output"
       ]
      },
-     "execution_count": 71,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -974,7 +979,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 74,
+   "execution_count": 8,
    "id": "a4fd969f-8b11-4bbd-986a-b275413c8079",
    "metadata": {},
    "outputs": [
@@ -1008,53 +1013,53 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>17950.0907</td>\n",
-       "      <td>18390.3721</td>\n",
+       "      <td>16.2116</td>\n",
+       "      <td>42.9993</td>\n",
        "      <td>0</td>\n",
        "      <td>wait_for_poke</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>18390.3721</td>\n",
-       "      <td>18391.2413</td>\n",
+       "      <td>42.9993</td>\n",
+       "      <td>43.0395</td>\n",
        "      <td>1</td>\n",
        "      <td>nose_in_center</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>18391.2413</td>\n",
-       "      <td>18391.2433</td>\n",
+       "      <td>43.0395</td>\n",
+       "      <td>44.0395</td>\n",
        "      <td>2</td>\n",
-       "      <td>go_cue</td>\n",
+       "      <td>punish_violation</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>18391.2433</td>\n",
-       "      <td>18395.3789</td>\n",
-       "      <td>3</td>\n",
-       "      <td>wait_for_side_poke</td>\n",
+       "      <td>44.1310</td>\n",
+       "      <td>72.9036</td>\n",
+       "      <td>0</td>\n",
+       "      <td>wait_for_poke</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>18395.3789</td>\n",
-       "      <td>18395.4743</td>\n",
-       "      <td>4</td>\n",
-       "      <td>announce_reward</td>\n",
+       "      <td>72.9036</td>\n",
+       "      <td>74.0515</td>\n",
+       "      <td>1</td>\n",
+       "      <td>nose_in_center</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "   start_time   stop_time  state_type          state_name\n",
-       "0  17950.0907  18390.3721           0       wait_for_poke\n",
-       "1  18390.3721  18391.2413           1      nose_in_center\n",
-       "2  18391.2413  18391.2433           2              go_cue\n",
-       "3  18391.2433  18395.3789           3  wait_for_side_poke\n",
-       "4  18395.3789  18395.4743           4     announce_reward"
+       "   start_time  stop_time  state_type        state_name\n",
+       "0     16.2116    42.9993           0     wait_for_poke\n",
+       "1     42.9993    43.0395           1    nose_in_center\n",
+       "2     43.0395    44.0395           2  punish_violation\n",
+       "3     44.1310    72.9036           0     wait_for_poke\n",
+       "4     72.9036    74.0515           1    nose_in_center"
       ]
      },
-     "execution_count": 74,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1080,13 +1085,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 88,
+   "execution_count": 9,
    "id": "9e145e47-ebd3-4eb3-93c5-6e9d036c111b",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1800x400 with 1 Axes>"
       ]
@@ -1117,13 +1122,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 89,
+   "execution_count": 10,
    "id": "b14f720f-2e2e-423a-ac16-35940f92e775",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1800x400 with 1 Axes>"
       ]
@@ -1150,13 +1155,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 90,
+   "execution_count": 11,
    "id": "68ecfe11-c8f4-4449-a1f9-23a331258fea",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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/qFKlCgCenp688sorvPzyywD873//48yZM1djSkybNo2YmBi8vb3ZvHkz7dq1M8s6dOjApk2b8PT0JCoqiunTp1+VmIqSmppKXFxcnpeIiIiIiIiIiIiIVBxKNEmFtXHjRqKiooDsM5cK8swzz1C9enUAPv/88wLrvPrqqwVef/HFF3F1dSUjI4NVq1aVPuDLsFqtrFixAoARI0aYSbPcatasyYgRIwD44osvrnhMlzN9+nQsFov5CggIKO+QRERERERERERERKQMKdEkFdb+/fsBCAgI4NZbby2wjr29PZ06dcpTP7eAgADq1atXYFtPT0+aN29eaNuyduzYMTNx1rlz50Lr3XvvvQBcvHiRY8eOXfG4ijJx4kRiY2PN18mTJ8s1HhEREREREREREREpWw7lHYDIlXL+/HkA/P39i6xXs2bNPPVzu1zbnPKC2pa13GMUFVfOfHLa3HTTTVc0rqI4Ozvj7OxcbuOLiIiIiIiIiIiIyJWlFU0iIiIiIiIiIiIiIiJiEyWapMKqWrUqAKdOnSqyXk55Tv3cTp8+XWTbnPKC2pa13GMUNafcZbnbODj83wLGlJSUAtvGxsaWJkQRERERERERERERucEo0SQVVosWLYDsxMuff/5ZYJ3MzEy2bt0KQMuWLfOVnzx5kn/++afAtvHx8Rw4cCDPWDns7LI/Wlar1bbgC3DTTTfh4+MDwObNmwutt2nTJgB8fX3zbJvn7e1tfl3YWUl79+4ttN+cOUHZzktERERERERERERErl9KNEmFde+99+Lr6wtAcHBwgXXmz5/PmTNnAOjfv3+BdV577bUCr7/zzjskJyfj4OBA796985R5enoCEBMTY0PkBTMMg379+gHZcUdEROSrc+bMGebPnw/kn8+tt96Kq6srAKtWrcrXNisri+nTpxc6fs6coGznJSIiIiIiIiIiIiLXLyWapMJydXU1E0zLly9nxIgRnDt3DoCkpCTmzJnD6NGjAejXrx/NmzfP14fFYmHp0qWMGjWKyMhIIHsl07Rp05g6dSoAzz77LDVq1MjT7o477gAgLCyMo0ePltmcXnrpJby8vIiKiqJz587s2rXLLNu5cyedO3cmJiYGHx8fJkyYkKeto6OjmRCbNm0aK1asIC0tDYA//viDXr16cfjw4ULHvvXWW3FycgJg4cKFWtUkIiIiIiIiIiIiIko0ScU2cuRIxowZA2SvAqpevTo+Pj5YLBZGjRpFeno6QUFBLFiwoMD2TZs2Zdy4ccyZM4eqVavi4+ODt7c3L7/8Mlarlc6dOzNjxox87Xr37k2VKlWIjo6mQYMGVKlShTp16lCnTh327Nlj83xq1qzJmjVrsFgs/Prrr7Rr1w53d3fc3d1p3749v//+O15eXqxZswZ/f/987adPn06NGjWIj4+nX79+uLu7Y7FYuO2229i6dSurV68udGw3NzcGDhwIwLhx43B3d6d27drUqVOHF154weY5iYiIiIiIiIiIiMj1S4kmqfBmzZrFli1b6N27N35+fiQkJODh4UFQUBAff/wxGzduxMPDo9D2M2fO5IsvvqB9+/ZYrVacnJxo2rQps2fP5vvvv8fFxSVfG29vb7Zv384jjzyCv78/sbGxhIeHEx4eTkpKSqnm07FjR37//Xeef/55GjRoQFZWFlarlQYNGvDCCy/w+++/06FDhwLb1qxZk7179/Lkk0+aiSh3d3cGDRrETz/9RMeOHYsce+7cuQQHB9OoUSMATpw4QXh4uLnaS0RERERERERERERuLA7lHYDI1RAUFERQUJDN7fv162eej1Rct912G8uXL7d5zKJUr16dt99+m7fffrvEbWvWrFnoCi6gyC3xnJ2dmTx5MpMnTy7xuCIiIiIiIiIiIiJS8WhFk4iIiIiIiIiIiIiIiNhEiSYRERERERERERERERGxiRJNIiIiIiIiIiIiIiIiYhOd0SRylYWEhDBq1KgStenXrx+zZ8++QhGJiIiIiIiIiIiIiNjGsFqt1vIOQuRGsmTJEh5//PEStRk8eDBLliy5MgFdRXFxcVgsFmJjY/H09CzvcKQCqjNhvc1tj8/oXoaRiIiIyPWoNL9LgH6fEBHJof83ExG5NpTm53FWahIn3+tbrL/lakWTyFU2ZMgQhgwZUt5hiIiIiIiIiIiIiIiUms5oEhEREREREREREREREZso0SQiIiIiIiIiIiIiIiI2UaJJREREREREREREREREbKJE0w3CMAwMwyA0NPSa7O9KCgwMxDAMgoODy7Tf4OBgDMMgMDCwTPu9XsYXEREREREREREREXEo7wBEJK+DBw+yZs0avLy8GD16dHmHIyIiIiIiIiIiIiJSKCWabhD169cHwM3NrZwjufpq1apF/fr1qVy5cnmHUiwHDx5kypQp1K5du8hEU+XKlalfvz61atW6esGJiIiIiIiIiIiIiOSiRNMN4ujRo+UdQrlZtmxZeYdwRYwcOZKRI0eWdxgiIiIiIiIiIiIicgPTGU0iIiIiIiIiIiIiIiJiEyWaSiAwMBDDMAgODiYtLY0ZM2bQuHFjKlWqhLe3N/feey/fffddgW0Nw8AwDEJDQ4vVf1Ht4+PjeeWVV7jttttwdXXF19eXHj16sHfv3kL7Lmr86OhoXn31Ve688048PT1xcnKiWrVqNG7cmBEjRrB58+Yi74st8RRXeno6lStXxjAM5syZU2Tdjz/+GMMw8PT0JCkpybxe1H3NsXr1anr06IGfnx9OTk74+fnRo0cPvvrqK5viTkpKYvny5QwaNIimTZtSpUoVnJ2dqVGjBj179izyffL4448DEB4ebj63nFfuOQQHB2MYBoGBgYXG8fPPPzNo0CBq166Ni4sL3t7e3HXXXbz33nukpqYW2GbJkiUYhkGdOnUAOHDgAH379qV69eo4Oztz8803M3bsWKKjo226NyIiIiIiIiIiIiJScWjrPBukpaXRuXNnwsLCcHBwwN3dnZiYGDZt2sSmTZuYPHlykUmN0jh79ix33nknf//9Ny4uLtjZ2REVFcX69evZuHEj69ato0uXLsXu79SpU7Rr144TJ04AYGdnh8ViITIyknPnznHkyBGOHj3KPffcc1XiuZSjoyOPPPIIc+fO5ZNPPuG///1voXU/+eQTAHr37l3ss6jS0tIYNGgQISEhQN75r1+/nvXr19O/f3+WLl2Ko6NjseNesWKFmTDKSX45ODhw9uxZvv76a77++muef/553n777Tzt/Pz8SE5OJi4uDjs7O6pUqZKn3N3dvdgxvPvuuzz//PNYrVYALBYLiYmJ7N69m927d7N48WK+//57qlevXmgfn3/+OUOGDCE9PR2LxUJGRgbHjh3j3Xff5YcffmDPnj0liklEREREREREREREKhataLLBBx98wI8//si8efOIj48nOjqaEydO8PDDDwMwZcoU1q5de0XGfvbZZ3FycmLLli0kJiaSkJDAjz/+SP369UlLS2PYsGFkZWUVu7/g4GBOnDhBnTp12LRpE2lpaURFRZGamsrx48f58MMPadOmzVWLpyCDBg0CYP/+/YWeNXXixAm2bduWp35xvPTSS4SEhGAYBpMmTeLixYtERUURGRnJSy+9BMDy5cuZNGlSiWL29vbmhRdeYMeOHSQkJBATE0NiYiJnzpxhypQpODo68s477+R7n0RERDB79mwAAgICiIiIyPN64YUXijX+N998w9ixY7FarTz44IP8+++/xMTEkJCQwLJly/Dw8ODw4cM8/PDDZGZmFtjHhQsXGDp0KIMHD+bEiRPExMQQHx/P+++/j6OjI7/++itvvvlmie6LiIiIiIiIiIiIiFQsSjTZIDY2lg8++IDhw4fj4uICZCcFQkJCuPvuuwHMJEVZc3BwYOvWrQQFBWFnZ4dhGLRs2ZIvv/wSyN5ubffu3cXub9euXQBMmzaNe+65B3t7ewDs7e2pXbs2I0aMYMaMGVctnoK0atWK+vXrA7Bs2bIC63z22WdYrVZq1apV5FZyuZ0+fdpM6kyYMIGpU6fi5eUFZCeK3njjDcaOHQvArFmzOHv2bLFjfvDBB3nrrbdo165dntVV1atX59VXX2XatGkAl90O0Fbjxo0DoEOHDqxatYqbbroJACcnJwYOHMhnn30GZD//wrYHTEpK4pFHHmHBggUEBAQA4ObmxrPPPstzzz0HZCfhipKamkpcXFyel4iIiIiIiIiIiIhUHEo02SAgIMDcFi03Ozs7XnnlFQB+/fVXjhw5UuZjDxs2jKpVq+a73qhRIzOZcPjw4WL3l5NYKUkS5UrGU5iBAwcC/5dQulTOtnmPPvoohmEUq89Vq1aRkZGBi4sLEyZMKLDOK6+8grOzM+np6axcudLG6PPr3r07ALt37y50RZGtDh8+zO+//w5kx5+TPMzt/vvvp1WrVkDRyaKc9/OlHnzwQQD+/vvvPOdhXWr69OlYLBbzlZOwEhEREREREREREZGKQYkmGwQGBhaazOjQoQMODtlHX+3fv7/Mx27dunWhZTVq1AAgKiqq2P316NEDyF7RM2zYML7//vsSrTop63gKM3DgQAzDyLNFXo4DBw6YiZWSbJuX83xatmyJp6dngXW8vb1p0aJFnvrFde7cOSZPnkzbtm3x9fXFwcEBwzAwDIPbb78dyF41FB0dXaJ+LycnTgcHBzp27FhovXvvvTdP/Uv5+PhQr169Astyni1QZPwTJ04kNjbWfJ08efKy8YuIiIiIiIiIiIjI9UOJJhv4+/sXWubi4oKvry8A58+fL/OxPTw8Ci3LSXClp6cXu78XX3yRvn37kp6ezoIFC+jWrRteXl40atSIF198kT/++OOqxlOYWrVqmUmTnNVLOXK+b9myJbfddlux+8x5PkU9T4CaNWvmqV8cu3fv5rbbbmPq1Kns2bOHqKgoXF1dqVq1Kn5+flSuXNmsm5iYWOx+iyMnzsqVK+Ps7FxovcvNqzjPFop+vs7Oznh6euZ5iYiIiIiIiIiIiEjFoUTTDc7R0ZGQkBAOHjzIq6++SqdOnXBzc+OXX37h7bffpmHDhrzzzjvlHSbwf6uVVq5cSXJyMgAZGRnm1m852+uVt4yMDPr3709MTAxNmzbl22+/JS4ujvj4eM6dO0dERAR79uwx6xe0FaCIiIiIiIiIiIiIyPVAiSYbnD59utCy1NRULl68CJDn7KKcc3JSUlIKbRsbG1tGEZZckyZNmDJlCps3byYmJoZNmzZx9913k5mZyYsvvsihQ4fKLbYcDz/8MK6ursTFxfH1118D8MMPP3D+/HkcHR3p379/ifrLeT6nTp0qsl5OeUFnURVk9+7dhIeHY29vzzfffEO3bt3yrQ6KiIgoUawlkRNnZGQkqamphdYr6bxERERERERERERERC6lRJMNtm3bVugqlLCwMDIyMgDMs30g+6wfoNAzauLj481zhsqbg4MD99xzD+vXr8fZ2Rmr1cqmTZvKOyw8PDzo2bMn8H/b5eX8t1u3bnm2oyuO3GcvFZbki4mJyXOWU3HkPOMqVaoUui1fUffTzi77Y2nrSqeceWVkZOQ7z6qgGIo7LxERERERERERERGRSynRZIMTJ06wdOnSfNezsrKYNm0aALfffjuNGjUyy5o0aQLAqlWrCuzz7bffLnL1yZVS1JjOzs7mSqyc5Ed5y9k+74cffuCvv/4yVzblXC+J3r174+DgQEpKCjNnziywzrRp00hNTcXR0ZHevXsXq1+LxQLAuXPnOHfuXL7yU6dOMWfOnELb55xjFBMTU6zxLtW4cWNuv/12AF5//XUyMzPz1fn222/Zu3cvQIlXgomIiIiIiIiIiIiI5Lg2sgfXGYvFwtNPP82CBQvMrfBOnjxJ//792bp1K5D9B/7ccv6Yv2HDBiZPnkxcXByQvb3ZSy+9xOuvv46Xl9fVm8T/V7t2bSZOnMiePXvyJJ3+/vtvHn30UZKSkrCzs+O+++676rEV5N5776VatWpkZGQwYMAAkpOT8fb2pkePHiXuy9/fn1GjRgEwY8YMJk+ebCZ3YmJimDRpEm+99RYAY8eOpXr16sXqt3379lSqVAmr1Urfvn35888/AcjMzGTDhg0EBgZiGEah7e+44w4A4uLiWLFiRYnnBZiJs7CwMB5++GGOHTsGQHp6Op999pn5frzrrrvMVWIiIiIiIiIiIiIiIiWlRJMNnnnmGVq0aMGwYcPw9PTEx8eHWrVqmUmBV155hV69euVpM2TIEIKCggCYOnUqXl5e+Pj4ULVqVWbMmMHMmTPNVU9X07lz55gxYwZt27bFzc0NHx8fXF1dueWWW/jyyy8xDIN33nnHXCFT3uzt7RkwYACAuaVd3759cXZ2tqm/adOm0bdvX6xWK1OnTsXX1xcfHx98fX3NZGH//v157bXXit2nxWLh7bffBmD79u3Ur18fDw8P3N3d6dq1K7GxsSxevLjQ9vXq1eOee+4BoF+/fnh6elKnTh3q1KnDe++9V6wYevTowaxZszAMgzVr1nDzzTfj7e2Nu7s7jz32GHFxcTRq1Igvv/zSXLUmIiIiIiIiIiIiIlJSSjTZwMnJic2bNzNt2jTq169PamoqFovFPNeooKSEvb0969evZ8qUKdx22204OTlhGAZdunRh48aNvPDCC+Uwk+wt6CZOnEiHDh0ICAggOTkZyE52PP744+zbt4/Ro0eXS2yFuXSbPFu2zcvh5ORESEgIK1eupFu3bvj6+hIfH4+vry/dunVj9erVfP755zg6Opao3xEjRrB+/XoCAwNxd3cnIyMDf39/nnvuOQ4dOpRnW8WCrFy5kjFjxnDrrbeSnp5OeHg44eHhJdpOb8yYMezfv5/HHnuMgIAAkpKScHV1pU2bNrz77rvs27ePGjVqlGheIiIiIiIiIiIiIiK5GVar1VraTrKysjhw4ADh4eEkJSWV6g//17LAwEC2bdvG5MmTCQ4OLu9wRK47cXFxWCwWYmNjzbOoRMpSnQnrbW57fEb3MoxERERErkel+V0C9PuEiEgO/b+ZiMi1oTQ/j7NSkzj5Xt9i/S231Cua/ve//1G9enXatGlDv379ePzxx/OUR0dHc8cdd3Dbbbdx7ty50g4nIiIiIiIiIiIiIiIi14hSJZqeffZZRo8ezYULF/Dw8MAwjHx1vL29ufPOO/nrr7/48ssvSzOciIiIiIiIiIiIiIiIXENsTjR9//33fPjhh7i7u/PVV18RExNDlSpVCqw7YMAArFYrmzZtsjlQERERERERERERERERubY42Npw3rx5GIbB1KlTefDBB4us27ZtWwCOHDli63BSAYwaNYqQkJAStZk9ezb9+vW7QhGJFC1nD9OKsD90cfdjvd7ner3Hb4vr+X16PccuIiIVk/5NunEV9vvyjfqe0P2Q0tJ7RaR86f+3JUdp3gNxcXFY3iteXZsTTXv37gVg6NChl61rsVjw9PQkIiLC1uGuCaGhoeUdwnUtNja2xOd0JScnX6FoRERERERERERERESktGxONEVFRWGxWPDw8ChWfTs7O7KysmwdTiqAJUuWsGTJkvIOQ0REREREREREREREyojNZzR5enoSFxdHenr6ZetGRUURGxtL5cqVbR1ORERERERERERERERErjE2J5oaNWqE1Wo1t9AryvLly7FarbRo0cLW4UREREREREREREREROQaY3Oi6eGHH8ZqtRIcHFzklniHDh3ilVdewTAM+vfvb+twIiIiIiIiIiIiIiIico2xOdH01FNPcfvtt7N161buvfdevvnmGzIzMwH466+/2LhxI//973+56667iI2NpU2bNvTp06fMAheR8hMYGIhhGAQHB5d3KCIiIiIiIiIiIiJSjhxsbejo6Mj69evp2rUrW7duJTQ01Cy77bbbzK+tViuNGjVi1apVGIZRqmBFRERERERERERERETk2mHziiaA2rVrc+DAAaZMmUKtWrWwWq15XjVq1CA4OJhdu3ZRrVq1sopZRERERERERERERERErgE2r2jK4ebmxqRJk5g0aRJnzpzhzJkzZGZmUq1aNWrXrl0WMYqIiIiIiIiIiIiIiMg1qNSJptxq1KhBjRo1yrJLERERERERERERERERuUaVaus8ketZYGAghmEQHBxMeno677zzDi1atMDLywvDMPKcO/bLL78wbNgwbrnlFtzc3HB3d6dx48a8/PLLREZG5uv7ueeewzAMHn744Xxl6enpeHh4YBgGVapUwWq15qtz3333YRgGkyZNynP92LFjzJw5k65du3LrrbdSqVIl3N3duf322xk9ejQnTpwok/lmZmbyv//9jzvvvJNKlSrh4+NDYGAgK1euLMadFREREREREREREZEbRalXNFmtVlavXs0XX3zB/v37OX/+PABVq1alRYsWPPLII/Tq1Qs7O+W05NqUkpJCYGAgu3btwsHBwUwC5XjzzTeZOHEiWVlZQPZ2kenp6Rw5coQjR46wePFi1q9fT7Nmzcw2QUFBvP/++4SGhmK1WvP09+OPP5KQkABAZGQkR44coXHjxmZ5eno6O3bsAKBTp055Yn388cfZtm0bAE5OTnh4eBAdHc3vv//O77//zpIlS/jmm29o3769zfNNTU3lwQcfZMOGDQDY2dnh5OTE9u3b2bZtG+PHjy/ZDRYRERERERERERGRCqtU2Z8TJ07Qtm1b+vbty+rVqwkPDyc5OZnk5GTCw8NZvXo1ffv2pU2bNoSHh5dVzCJlau7cuRw+fJjFixcTFxdHVFQUFy5coHHjxixatIjx48fj5ubGG2+8wdmzZ0lMTCQpKYn9+/fTqVMnzp49ywMPPGAmj+D/Vg9dvHiRQ4cO5Rlv69atAHh6egKwZcuWPOV79+4lKSkJZ2dn2rZtm6esadOmzJ07lz///JPk5GQiIyNJTU1l7969dO3aldjYWPr160dycrJN8wWYOHEiGzZswDAMXn/9daKjo4mOjiYiIoKnn36amTNncvDgQZvvt4iIiIiIiIiIiIhUHDavaIqNjaVjx46cOHECq9XKXXfdRadOnfD39wfg9OnTbN26lZ07d7J//36CgoL4+eefsVgsZRa8SFlISEhg7dq13H///eY1X19f4uPjeeGFFwBYuXIl9913n1lub29P8+bN2bBhA23atOHAgQMsXLiQ0aNHA+Dj40OTJk04ePAgW7ZsoWnTpmbbnMTS6NGjmTp1Klu2bDHb5S5v27YtLi4ueWJ977338sXv4OBAq1at+Oabb7jzzjs5fPgwq1at4rHHHivRfAHOnDnD//73PwBeeeUVXn75ZbNO1apV+eCDD4iJiWH58uUF9n2p1NRUUlNTze/j4uKK1U5ERERERERERERErg82r2h64403CA8Px9vbm40bN7Jjxw6mTp3K8OHDGT58OFOnTiUsLIzNmzfj4+NDeHg406ZNK8vYRcpEw4YN8yRdcqxatYqYmBiaNWuWJ8mUm4ODA/379wcwt5rLERQUBORdsZSamsru3bupVKkSY8eONbeky8zMNOvkrHjKaV9c9vb2dO3aFcDceq8ghc0XshNqGRkZuLq6mkm2SwUHBxc7punTp2OxWMxXQEBAsduKiIiIiIiIiIiIyLXP5kTTV199hWEYzJs3j3vuuafQekFBQcybNw+r1cqqVatsHU7kimnXrl2B13fu3AnA77//TrVq1Qp9TZ06FSDf9pA55yuFhYWZiaRdu3aRkpJC+/btsVgstG7dmtjYWA4cOABkn5+0e/duoPBEU1hYGEOGDOG2227D3d0dwzDM15tvvgnAqVOnSjxfgP379wPQokULc2u/S916663mysXLmThxIrGxsebr5MmTxWonIiIiIiIiIiIiItcHm7fOO3XqFE5OTjz00EOXrdurVy+cnZ05ffq0rcOJXDFVq1Yt8PqZM2eA7ORPSkrKZftJSkrK8/3dd9+Nvb09cXFx7Nu3jzZt2pirlXKSUJ06dSIsLIwtW7bQqlUrdu3aRWpqKq6urrRu3TrfGOPHjzeTSZC9isnb2xsnJycge1u8xMREEhMTSzxfgPPnzwNcNpFUs2bNYn2enZ2dcXZ2vmw9EREREREREREREbk+2byiydvbGxcXF+zsLt+Fvb09Li4ueHt72zqcyBVjb29f4PWcVUj9+vXDarVe9nX8+PE87T09PWnevDnwf9vn5fw3d6KpoPJ27dqZyaMcGzduNJNMzzzzDEeOHCE1NZWoqCgiIiKIiIhgzJgxAFit1hLPV0RERERERERERESkpGxONN11113ExcXx559/Xrbun3/+SWxsLO3bt7d1OJGrrlq1akD+LfFKIvc5TYmJifz44494eXlx5513AtCmTRtcXV3ZuXMnaWlp+RJRuX3xxRcA3HfffcydO5c77rgjX9IoIiLC5ljh/1Y7XW61klYnioiIiIiIiIiIiAiUItE0YcIEHB0deeaZZ0hNTS20XlpaGs888wyOjo5MmDDB1uFErrqcs4wOHDjA2bNnbeojJ9G0a9cuNm/eTHp6Oh07djRXAjo5OdGuXTuSkpLYtGkT+/bty9Mut5zzjZo1a1bgWFar1UxU2apFixZA9llNCQkJBdb566+/ijwDSkRERERERERERERuHDYnmlq0aMGKFSs4cOAATZs2ZfHixRw/fpz09HTS09M5fvw4ixcvplmzZvz000+sXLnSXMUhcj3o06cPXl5epKenM3bs2CK3o8vKyiImJibf9fbt2+Po6EhycjLTpk0D8q9WykkqTZ06lYyMDNzd3c2ET24WiwWAQ4cOFRjDvHnz+Pfff4s1t8L07t0be3t7kpOTefvttwusM3Xq1FKNISIiIiIiIiIiIiIVh82JJnt7e3r16mVun/fkk09St25dXFxccHFxoW7dujz55JMcPXqU2NhYevbsib29fb6Xg4NDWc5HpMx4eXnx3nvvAdnb1nXv3p29e/eSlZUFZCeXfv/9d9555x0aNmzIN998k6+PSpUq0apVKwD27t0L5E805XyfU96hQ4cCPxddu3YF4LvvvuO1114jMTERgJiYGKZNm8Zzzz2Hr69vqebs7+/Ps88+C8Brr73G9OnTiY+PB+DChQuMHDmSTz/91Ex6iYiIiIiIiIiIiMiNzeZEk9VqLbOXyLVq8ODBfPjhhzg5OfHdd9/Rpk0b3NzcqFy5Mi4uLtx+++288MILHD16FMMwCuwjd2KpatWq3HHHHXnKW7RogYeHh/l9QdvmAQwaNIgOHToA8Oqrr+Lh4YGPjw++vr68/PLLdO3alaeffrq0U2bmzJl07tyZrKwsXnrpJby9vfHx8cHPz4+5c+cyfvx4mjZtWupxREREREREREREROT6Z/Nyoq1bt5ZlHCLXrBEjRtC1a1fmzp3Lxo0bOXbsGDExMXh6elK3bl3atm3LAw88kG+lUo6goCBee+018+tLOTg40KFDB7799ttC6wA4Ojryww8/MGPGDJYvX87x48exWq20atWKwYMHM2zYsDLZ1s7FxYXvvvuODz74gMWLF/PHH39gtVrp0KEDI0eOpE+fPgQGBpZ6HBERERERERERERG5/hlWLSkSkaskLi4Oi8VCbGwsnp6e5R3OZdWZsB6A4zO6l3MkpZczl8upCHO90VzP79PrOXYRERGpWAr7fflG/T1F90NE5Pqm/9+WslCSv+XavHWeiIiIiIiIiIiIiIiI3NhsTjQNHTqUvXv3lmUsIiIiIiIiIiIiIiIich2xOdG0ZMkS7rrrLpo0acIHH3xAXFxcWcYlIiIiIiIiIiIiIiIi1zibz2jq0KEDO3fuzO7EMHB1daVfv34MGzaM1q1bl2mQIlIxXG9nNF1PLncGk/bkFRERub4V97xFuTz9XiS56QyL/OpMWK/7YYMb9ee03itSEVWEz7M+m1dXcd4z1+MzuSpnNIWFhfH7778zZswYfH19SUpKyrPK6cMPP9QqJxERERERERERERERkQrM5kQTQP369XnnnXc4deoUn3/+OYGBgQAcOXKEkSNHUqNGDZ544gmd5SQiIiIiIiIiIiIiIlIBlSrRlMPJyYlHHnmEzZs38+effzJu3DiqVq1KUlISixcv1ionERERERERERERERGRCqhMEk251a1blxkzZnDy5ElWrVpF69atsVqt/PLLL+Yqp2HDhvH777+X9dAiIiIiIiIiIiIiIiJyFZV5oilHWFgYK1as4ODBgxiGgdVqBSApKYlFixbRuHFjRo8eTVZW1pUKQURERERERERERERERK6gMk00XbhwgTfffJNbb72Vzp07ExISQmpqKnfeeScLFy4kOjqaL7/8kg4dOpCZmcn//vc/pk+fXpYhiMhVcPz4cQzDwDAMjh8/Xt7hiIiIiIiIiIiIiEg5KZNE08aNG+nTpw8BAQFMnDiRv//+G1dXV5544gn27dvHvn37GDp0KJ6envTu3ZvQ0FDmzZuH1WplyZIlZRGCiIiIiIiIiIiIiIiIXGUOtjaMiIjg448/ZtGiRRw/ftzcGu/2229nxIgRDBo0CE9Pz0LbDxs2jAkTJhAeHm5rCCIiIiIiIiIiIiIiIlKObE401apVi8zMTKxWK05OTvTu3ZsRI0bQoUOHYvfh6elJbGysrSGIiIiIiIiIiIiIiIhIObI50ZSRkcFNN93E8OHDGTp0KJUrVy5xHyEhIaSkpNgagoiIiIiIiIiIiIiIiJQjm89o+u677/jnn38YN26cTUkmgNatW9OxY0dbQyiW6OhoFi1aRN++fWnUqBE+Pj64uLhQu3ZtBgwYwJ49ewpsFxwcjGEYBAYGArB582a6d+9OlSpVcHFxoUGDBkyZMqXQRNmQIUMwDIMhQ4YAsHLlSgIDA/Hx8cHNzY2mTZsye/ZssrKyiow/NDSUPn364O/vj7OzM5UrV+aee+5h8eLFZGZmFmvsgixZsgTDMKhTp84Vi/3kyZOMGzeOpk2bYrFYcHV1pW7dujz44IMsW7as0Hu3c+dOHnvsMWrXro2LiwsWi4VWrVoxc+ZMEhISihyzuI4fP45hGBiGwfHjx/nnn38YNmwYN910E87OzvnuS1ZWFp999hn/+c9/8PPzw8nJiSpVqtClSxeWL19ubh2ZIzMzEy8vLwzD4Jtvvsk3/vLly83xX3jhhXzlZ8+eNcv/+eefPHFs3ryZ//73v7Rp04aaNWvi5OSEr68vHTt2ZN68eaSnp5fJnE+fPs3w4cMJCAjA2dmZmjVr8vjjj/P3338X8y6LiIiIiIiIiIiISEVn84qmBg0acPr0afz9/YtV/8yZM2RkZFCrVi1bh7TJ7NmzmTJlCgD29vbmuVEnTpzgxIkTfPHFF7z33nv897//LbSPt956i/HjxwNgsVhIS0vj6NGjBAcHs23bNjZu3Ii9vX2h7UeOHMncuXOxs7PD09OT5ORkDh06xOjRo/npp59YunRpge3Gjh3Lu+++C4BhGFgsFmJiYtiyZQtbtmzh008/Zc2aNXh4eNh0b4rD1tg/+eQThg0bZiaTnJyc8PDw4MSJE/z777+sXbuWxo0b07RpU7NNVlYWY8aMYc6cOeY1d3d3EhMT2bdvH/v27WPx4sVs2LCB2rVrl9kcd+3axfDhw0lISMDNzQ1HR8c85VFRUfTq1Yvt27eb1ywWC5GRkWzcuJGNGzfyxRdf8OWXX+Lk5ARkv9fuvvtu1q1bx5YtW+jRo0eePrds2VLg15deq1WrFnXr1jWvnzhxgs6dO5vfu7u74+bmRlRUFNu3b2f79u18/vnnbNiwAVdXV5vn/NNPP9G5c2eio6MBcHV1JTY2liVLlrB69WoWLFhQaN8iIiIiIiIiIiIicuOweUVTnTp1aNWqVbHrt2vXjptvvtnW4WxWo0YNJk+ezP79+0lKSiIqKork5GT+/fdfRo0aBWQndH7++ecC2x86dIgJEyYwYcIEzp8/T3R0NDExMbz66qsAbN26tdBkC8DatWtZsGABs2bNIjo6mujoaCIjI3nyyScBWLZsWYGJhvfff99MMg0bNowzZ84QHR1NbGws7777Lg4ODmzZsoWnnnqqVPenKLbGvn79egYPHkxKSgrt2rUjLCyM5ORkIiMjSUxMJCwsjKeeespMyuSYPHkyc+bMoWrVqsydO5eLFy8SHx9PcnIyW7dupVmzZvzxxx889NBDl11NVRLDhw+nYcOG7Nu3j8TERBISEvjhhx+A7JVJDz30ENu3b6dp06asW7eOxMREYmJiSEhIYOnSpVStWpW1a9eaycgcQUFBQMGJpK1btwLZ55QdOnSIqKioAstz+sjh4ODAo48+ytq1a837ExMTQ3x8PIsXL6ZGjRqEhYXx8ssv2zzn+Ph4evXqRXR0NLVq1eKHH34gMTGR+Ph4du3aRUBAAMOHDy/u7RURERERERERERGRCszmRBOQb7uwsq5fFoYNG0ZwcDDNmzc3ExuGYXDTTTfx3nvv8cwzz5CZmcncuXMLbB8TE8OkSZOYNm2auUWgp6cnU6ZM4aGHHgKyt0ErTHR0NPPnz2fMmDHmaipfX18WLFhA8+bNC2yfnJzM5MmTAejfvz/z58+nWrVqAFSqVInRo0cza9YsIPucqwMHDth0by7HltgzMjJ47rnnsFqttG/fni1bttC+fXvs7LLfak5OTrRv356PPvqI22+/3Wx3/Phxpk+fjqurKz/88APPPPMMPj4+ADg6OhIYGMi2bduoWbMmP/30E2vXri2zefr6+rJp0yZatGhhXrv11lsB+Pzzz9m2bRu33XYboaGh9OjRAzc3NyD7WQwaNIhvv/0WwzD44IMPOH/+vNlHp06dADh8+DAXL140r584cYJ//vmHunXr0qNHD7KysggNDc0TU05y6tJEU82aNfn000+5//77zfsD2SubhgwZwtdffw3ARx99VOT5Z0XN+cMPP+TEiRM4OTnx/fffc++992IYBgBt27Zl06ZN5veXk5qaSlxcXJ6XiIiIiIiIiIiIiFQcpUo0lURKSgoODjbv1HfFdO/eHYAdO3YUWO7s7FzgGToADz74IJCdSChMQEAAgwcPLrDsgQceKLD9xo0bzRUuwcHBBbZ95plnqF69OpCdDLkSbIl969atHDt2DIB3330336qlwixZsoTMzEy6du1KkyZNCqzj4eFBz549AdiwYUOx+i2OkSNH4u7uXmDZokWLAHj66aexWCwF1mnevDkNGzYkLS3NXIkE0LhxY3x9fbFarXmu53zdqVMnMxmVe9VTeHi4eQ8vTTRdTosWLahatSqJiYkcPHiw0HpFzfmLL74AoE+fPjRo0CBfebVq1RgxYkSx4pk+fToWi8V8BQQEFKudiIiIiIiIiIiIiFwfrkqi6cyZM1y4cAFfX9+rMVw+//77Ly+88ALNmzfHy8sLe3t7DMPAMAz+85//AHDq1KkC2zZs2LDQP8jXqFEDIN+2Z7m1bNmy0NUfhbXfv38/kJ3oyVllcil7e3szSZFTv6zZEvuuXbuA7GRE7tUyl7Nz504AfvjhB6pVq1boa/HixUB2MqastGvXrsDrmZmZ7NmzB8hO+BUV1x9//JEvLsMwCAwMBAo+k6lTp04Fbq+X8/XNN99c4JlmaWlpzJs3jy5dulCjRg2cnZ3N97NhGOaqqsLe00XNOS0tjSNHjpjxFaaostwmTpxIbGys+Tp58mSx2omIiIiIiIiIiIjI9aHYS4y2b9+eb3uvhIQEpk6dWmgbq9VKTEwM3377LVarldatW9scqK2++uor+vfvT2pqqnnN09MTFxcXDMMgLS2N6OhoEhMTC2zv4eFRaN85K7QyMjIKrVOc9unp6Xmu5yQK/P39C20L2duo5a5f1myJPSIiAoDatWuXaKwzZ84AkJiYWOizyC0pKalE/RelatWqBV6Piooy3zfR0dHF6uvSuIKCgli1alWeRFLuFU1Vq1aldu3a/P7770RERFCtWrVCz2eC7GfduXNnMxkE4OLiQuXKlbG3twfgwoULZGVlFXkfi5pzzvu5qPdfznvvcpydnXF2di5WXRERERERERERERG5/hQ70bR161amTJmSZ4VLYmIiU6ZMuWxbq9WKi4sLEydOtC1KG128eJEhQ4aQmppKp06dePXVV2nVqhWurq5mnc2bN9O5c+erGldFVtyzey6VmZkJwPjx45kxY0ZZhnRZOQmaS+XEBPDdd9/RtWvXEveds/Lnjz/+4MyZMyQlJXHy5EkaNmxoJns6derE4sWL2bJlCwMGDCgy0TRmzBiOHDmCr68vb731Ft26dTPP78oREBDAqVOnijwTrbA5i4iIiIiIiIiIiIiURLETTXXq1KFjx47m99u2bcPR0ZG2bdsW2sbOzg5PT0/uuOMOBg8eTL169UoXbQl9++23xMXF4e3tzbp163Bzc8tXJ2cFzrUkJwFR1NZnucsvXZ2Ss9ooJSWl0LaxsbGlCbFQOUmPkm5tl7P9XFluiVdavr6+ODg4kJGRYXNcDRo0oFq1akRERLBlyxZzxVPureeCgoLMRFOLFi3M53rp9nTp6emsXr0agPfff59HHnkk33iZmZlERkbaFCuAj48P9vb2ZGZmcvr06ULrFVUmIiIiIiIiIiIiIjeOYieaBg8ezODBg83v7ezs8PHxMVdfXItyzoOpX79+gUkmgE2bNl3NkIol52yjU6dO8eeffxZ4TlNmZqZ571u2bJmnzNvbG6DI83D27t1bVuHmcddddwHZCbz9+/cX+5ymdu3asW3bNjZt2kRKSgouLi5XJL6ScHR0pFWrVuzatYt169YxfPhwm/oJDAzkiy++YMuWLSQnJwN5k0g5X2/ZssV8lvXr16d69ep5+rlw4YKZPGzWrFmBY+3YsaPIBOPlODk50bhxY37++We2bt3K0KFDC6yXeytAEREREREREREREblx2dnacPHixbz33ntlGErZs1gsAPz5558F/vH94MGDfP7551c7rMu699578fX1BSA4OLjAOvPnzzfPNerfv3+esiZNmgCwb9++ApNNv//+u7kypqwFBQVx8803A9nbvKWlpRWr3dChQ3FwcCAyMpLJkycXWTctLY2EhIRSx1ocw4YNA7JXx3377bdF1o2Kiirweu5EUmhoKHZ2dgQGBprl/v7+3HLLLRw7dozFixcDBW+b5+npaW5NeOjQoXzlGRkZvPzyy5ef1GX069cPgC+//JI//vgjX/n58+eZN29eqccRERERERERERERkeufzYmmwYMH07dv37KMpcx16dIFOzs7oqKiePTRR83tvtLS0lixYgVdunTBw8OjnKPMz9XV1UwwLV++nBEjRnDu3DkAkpKSmDNnDqNHjwaykwLNmzfP0/7+++/H3d2d9PR0+vbtayYL0tPT+frrr+ncuTOVKlW6IrHb29vz/vvvYxgGO3bs4J577mHHjh1kZWUB2fc+NDSUxx57jN9++81sV7duXSZNmgTAm2++yaBBg/jll1/M8oyMDA4ePMjUqVOpV68eBw8evCLxX+qxxx6jc+fOWK1WevXqxeuvv24m+CD7nLKtW7fy7LPPmgm2S+UkjcLDw4mIiKBZs2Z4eXnlqZOTjMpZaVZQosnd3Z127doBMHbsWLZs2WLe119++YX//Oc/7N+/v9TP9umnn6ZmzZqkpqbStWtXNm/ebJ73tHfvXjp37myOKyIiIiIiIiIiIiI3NpsTTdeDW265hRdffBGA1atXU7NmTby8vHB3d6dfv364u7szZ86cco6yYCNHjmTMmDFA9uql6tWr4+Pjg8ViYdSoUaSnpxMUFMSCBQvytbVYLLz33nsYhsGePXu47bbb8PT0xN3dnZ49e1KrVi2mTp16xWLv1q0bS5YswdnZmR07dtChQwfc3NyoXLkylSpVIigoiM8++yzfaqdJkyYxadIkDMPgk08+oVGjRmY7FxcXmjVrxuTJkzl58qS5sudKs7e3Z9WqVfTo0YO0tDQmTZqEv78/FosFb29vPDw86NSpEx988AGJiYkF9lGvXj0CAgLM7y89ewnyJ5Zyr3jK7b333qNSpUqcPn2ae+65Bzc3Nzw9PWnUqBFbt25lwYIFVK5c2fYJk71y6quvvsLLy4vjx4/TuXNn3N3d8fDwoE2bNhw/fpz58+eXagwRERERERERERERqRgqdKIJYMaMGSxbtoxWrVrh6upKeno69erV46WXXuLnn3+mRo0a5R1ioWbNmsWWLVvo3bs3fn5+JCQk4OHhQVBQEB9//DEbN24sdEXWE088wfr16+nUqROenp5kZGRw6623MmPGDLZt23bFVjTlGDRoEEePHmX06NHcfvvtODg4kJycTO3atenZsyeffPIJDRo0yNPGMAymTp3K4cOHeeaZZ2jQoAH29vbExsbi7e3NXXfdxYsvvsiuXbvMlT1Xg6enJ+vWrePbb7+lX79+1KpVi9TUVJKSkvD396dLly5Mnz69wG3mcuROJBWWaMpJnjVs2JCqVasW2E/z5s358ccf6du3L5UrVyYrKwsPDw/69u3Lrl27GDhwYClnm61FixYcPnyYJ598En9/fzIyMrBYLAwePJiffvqJVq1alck4IiIiIiIiIiIiInJ9M6w5e2KJiFxhcXFxWCwWYmNj8fT0LO9wKpQ6E9YXWX58RverFImIiIhcCZf7t16KT78XSW45ny29L/5PnQnrdT9scKP+nNZ7RSqiivB51mfz6irOe+Z6fCYl+VtuhV/RJCIiIiIiIiIiIiIiIleGEk0iIiIiIiIiIiIiIiJiEyWaRERERERERERERERExCYO5R2AiK1OnjxJy5YtS9QmICCAffv2XaGIpLjumLwBO2e38g7jsq6VvVMr6j6vFd3V2tP5Wnn2tsz3Wom9IBVhT24Rufps/bmmf+tFyk5J/w2/UT5bJbkvuie2uVHu27VKv79fu2z5bJT389Tn+cop72d7peg9o0STXMcyMzM5d+5cidq4uLhcoWhERERERERERERERG48ZZJoOnz4MBs2bCA8PJzk5GQWLVpklqWnp3PhwgUMw6B69eplMZwIAHXq1MFqtZZ3GCIiIiIiIiIiIiIiN6xSJZpiY2MZOnQoa9asAcBqtWIYRr5EU5MmTYiOjubQoUM0bNiwVAGLiIiIiIiIiIiIiIjItcHO1obp6el069aNNWvW4ObmRvfu3QvclszNzY3HH3+crKwsVq5cWapgRURERERERERERERE5Nphc6Jp0aJF7Nmzh5tvvpk//viDtWvXYrFYCqzbu3dvALZv327rcCIiIiIiIiIiIiIiInKNsTnRtHz5cgzD4N1336VGjRpF1m3WrBl2dnYcPXrU1uGuKXXq1MEwDJYsWXJVx83MzGTWrFk0a9aMSpUqYRgGhmGYWxdWJMHBwRiGQWBgYLm0rygCAwMxDIPg4ODyDkVEREREREREREREKiCbz2g6cuQIhmHQpUuXy9Z1cnLCYrFw8eJFW4e7buT8QX/IkCHUqVOnTPsePXo077//PpB9T/38/AAK3LJQRERERERERERERETkSrM50ZSUlISHhwdOTk7Fqp+eno6Dg83DXVPq1q2Li4tLgVsFTpkyBcheSVKWiab4+Hjmz58PwJtvvskLL7yAYRhl1v+1pnLlytSvX59atWqVdygiIiIiIiIiIiIiIlIImzM/lStX5uzZsyQkJODu7l5k3WPHjpGQkEC9evVsHe6asnnz5qs+5tGjR0lPTwfg6aefrtBJJoCRI0cycuTI8g5DRERERERERERERESKYPMZTa1btwZg/fr1l637v//9D4AOHTrYOtwNLykpyfz6cok9ERERERERERERERGRq8HmRNPQoUOxWq1MmjSJM2fOFFpv/vz5zJ49G8MwGDZsmE1jNWrUCMMwzPOJctu9ezeGYWAYBg8//HC+8vT0dDw8PDAMI89KpD179jB+/Hg6dOhA7dq1cXFxwcvLizZt2jBz5kwSEhIKjadOnToYhsGSJUvMa0OGDMmzyigoKMiMyzAMm7fRW7JkCYZhEBgYaF7L3W/u6zlWr15Njx498PPzM89y6tGjB1999VWh4+TEP2TIEKxWKwsXLqR9+/b4+vrmm6stQkJC6NatG35+fjg6OuLl5cUtt9zCAw88wNy5c0lJSclTPzg4uND55fjuu++499578fLywt3dnSZNmvDmm2+aK78u5/jx44wePZqGDRvi7u6Om5sbt912G6NGjeLEiROlmW4eud8v8fHxTJw4kfr16+Pq6krlypXp2bMne/fuLbKPzMxMPv74Yzp16kTlypVxdnbG39+fPn36EBoaanNsS5cuxdHREcMwePnll/OVr1+/nt69e+Pv74+zszPe3t7cfffdfPjhh6Slpdk8roiIiIiIiIiIiIhUDDZvnde9e3d69+7NqlWraNGiBQMGDCA5ORmAjz76iPDwcL755ht++eUXrFYrTz31lLkKqqSCgoL45Zdf2LJlS77t1LZs2WJ+HRoaitVqzZPw+fHHH0lISMDZ2Zl27dqZ19u2bWt+7ebmhpubG9HR0ezdu5e9e/eybNkytm7dStWqVYsVo8Viwc/Pj3PnzgHg7e2d5/yqKlWqlGzS/5+rqyt+fn6kpaURHR0NgJ+fn1nu4+Njfp2WlsagQYMICQkBwM7ODovFQmRkJOvXr2f9+vX079/fTC4UxGq10qdPH1atWmW2t7OzOR8JZCclFy9ebH7v7u5Oeno6f//9N3///Tfr1q2je/fuJUrGBQcHm+dhAXh5efHbb78xfvx41q9fn+dZF+Szzz7jiSeeIDU1FQBnZ2fs7Oz4448/+OOPP1i8eDErV66kS5cuJZtsEaKjo2nZsiV//PEHTk5OuLi4cPHiRb7++mvWrVvHggULGDp0aL52sbGx9OzZ00wo2dvb4+HhwdmzZ1m5ciUrV67khRde4K233ipRPDNmzGDixInY2dnx/vvv8+yzz5plycnJDBo0iJUrV5rXPD09iY2NJSwsjLCwMJYtW8a3336Lt7e3bTdERERERERERERERK57pcogfPLJJzz66KNERETw7rvvEh8fD2SfITRjxgyOHDmC1Wpl6NChzJ071+ZxgoKCANi2bRtZWVl5yrZu3Qpk/xH84sWLHDp0qMDyNm3a4OLiYl6///77CQkJ4ezZsyQmJhIVFUVSUhKrV6+mfv36/Pbbb4wYMaLYMc6ePZuIiAjz+9WrVxMREWG+9u3bV7JJ/3/9+vUjIiKC1atXm9dy95v7+ksvvURISAiGYTBp0iQuXrxIVFQUkZGRvPTSSwAsX76cSZMmFTre6tWr+frrr3n77beJjo4mKiqK2NhY7rvvPpvi37FjB4sXL8bOzo6ZM2dy8eJF4uPjSUxMJDIykg0bNjB48OA8SbnLWbt2rZlk6tOnDydOnCA6Opq4uDjmzp3Lnj17+PDDDwttv3HjRgYNGkRmZibjxo3j2LFjJCcnk5iYyNGjR+nTpw/x8fFm32VlypQpnD9/nhUrVpCYmEhsbCy//fYbHTt2JCsri+HDh/PTTz/la/fEE08QGhqKk5MTc+bMIS4ujujoaM6cOWMmpt5++23mzZtXrDisViujRo1i4sSJODs7ExISkifJBDBs2DBWrlzJzTffzGeffUZsbCyxsbEkJSXx9ddfc/PNN7Nnz54CE2MiIiIiIiIiIiIicuMoVaLJxcWFTz75hO3btzNw4EDq1q2Lq6srTk5O1KpViwEDBhAaGsrChQtxcLB58RSBgYHY2dkRFRXFwYMHzeupqans2rULNzc3c1u+3Cuccn+fk6zKsXbtWvr27Uu1atXMa66urvTq1YvNmzfj7OzMmjVryjTRcCWdPn2a2bNnAzBhwgSmTp2Kl5cXkL266o033mDs2LEAzJo1i7NnzxbYT0JCArNmzeL555/H09MTyF6BVL16dZvi2rVrFwCdO3dm3LhxeVZg+fr60qVLF5YsWUKNGjWK3efEiRMB6NixI1988QUBAQFA9vN75plnmDNnDjExMQW2zcrK4tlnnyUrK4u5c+cyc+ZMc2s7wzCoX78+K1as4IEHHiAuLo5Zs2bZNO+CxMbG8uWXX9KnTx/z89CgQQO+++47brnlFjIyMvIlAffu3cuqVauA7LPOnnvuOdzc3ACoVq0aixYtonfv3gBMmjQp3xaEl0pLS+ORRx5hzpw5WCwWvv/++3xbToaFhfHpp59StWpVQkNDGTBggPlecHFx4YEHHmDbtm1UqlSJNWvW5PlMXio1NZW4uLg8LxERERERERERERGpOEq3J9r/1759e5YsWcKff/5JQkICycnJHDt2jE8//ZS777671P17e3vTpEkTIG8iac+ePSQnJ9OuXTu6du2arzw1NZXdu3cD+RNNRfH396dJkyZYrVYzUXKtW7VqFRkZGbi4uDBhwoQC67zyyis4OzuTnp6eZ0u03Ly9vRk+fHiZxZWT7Lpw4QKZmZml7u/w4cP89ttvQPZ8CtrW76mnnsLf37/A9tu3b+evv/6icuXKPPnkk4WOM2jQIAA2bNhQ6phztGvXjnvuuSffdVdXV1588UUAvv/+e2JjY82ynG0Qa9asWWi8r732GgCRkZFs3Lix0PHj4uLo2rUrK1asoHr16mzfvr3AM7AWLVoEwKOPPmom8S5Vs2ZN8zNV1D2aPn06FovFfBXWn4iIiIiIiIiIiIhcn8ok0XQ1dOrUCcibSMr5ulOnTtx11104OzsTFhZmJjR27dpFSkoKrq6utGnTJk9/WVlZfP755zzwwAPUqlULV1dXc1WLYRj8+OOPAJw6depqTK/U9u/fD0DLli3N1SeX8vb2pkWLFnnqX6ply5Yl2sbucu655x5cXFz4+eef6dChA4sWLeLYsWM295cTt4ODAx06dCiwjp2dXYEJFICdO3cC2auLatSoQbVq1Qp8PfXUUwCEh4fbHOulct7DRZVlZWXl2T4vZ75BQUGFnpXVoEEDM7FW2HM9e/YsHTt2ZOvWrdx6663s2rWLxo0bF1g35x4tWrSo0PtTrVo1Nm3aBBR9jyZOnGhuuxcbG8vJkycLrSsiIiIiIiIiIiIi1x+b97Ozs7OjevXqnD59ulj1b7rpJk6ePElGRoZN4wUFBfHOO+8QFhZGRkYGDg4O5vlLnTp1MpNJ27ZtY9++fbRp08Ysv+uuu/IkT5KSkujRo4dZDuDk5ISPjw+Ojo4AREVFkZ6eTmJiok3xXm3nz58HKHQlT46aNWvmqX+pqlWrlmlcdevWZeHChYwYMYLdu3ebK8yqVKlCUFAQAwYM4IEHHsAwjGL1lxN35cqVcXZ2LrRezjwvdebMGQDS09M5d+7cZcdLTk4uVlzFUdSzyV2W+9mU5LmePn260Of60UcfAdlb323atKnIlUU596i4W90lJSUVWubs7FzkcxIRERERERERERGR61upVjRZrdYrWj+3u+++GwcHBxISEvjxxx9JSkpi7969WCwWmjdvDuRf9VTY+UxvvPEGW7duxdXVlXfffZfw8HBSUlK4ePEiERERRERE0Lp161LHfD2yt7cv8z4fffRRwsPDmTdvHv369SMgIIALFy6wYsUKevbsSceOHa/a2T05q91at26N1Wot1qsi6NGjBxaLhZSUFB5//PEik0M59+jDDz8s1v1ZsmTJVZqFiIiIiIiIiIiIiFxrrtrWeWlpaYVu/VUcHh4eZkJpy5Yt7Nixg7S0NO6++24zOZKTUNqyZQuJiYnm9neXbln2xRdfAPDqq68yevRoatWqlW9FTUREhM2xloeclUiX2+ovp7ysVy5djo+PD8OHD+eLL77gxIkT/P3330yYMAHDMAgLCyM4OLhY/eTEHRkZSVpaWqH1CltpV61aNaBst8QrrqJW/+Uuy/1syuq5Nm/enE2bNuHt7c3mzZvp3r17oav1yvMeiYiIiIiIiIiIiMj15aokmmJiYjh//jze3t6l6id3Iin3tnk5WrdujZubG7t27WLz5s2kp6fj7u5Oy5Yt8/STc05Ms2bNChzn+PHj/P333zbFmJOwutorYXKfvRQbG1tgnZiYmDxnOZWnunXrMn36dAYMGADAxo0bi9UuZ54ZGRmEhYUVWCcrK4vQ0NACy9q1awdkJxILO8/oSsm9VWNhZXZ2dnnelznz3bp1K1lZWQW2PXr0qJmoKuq5tmjRgs2bN+Pj40NoaCjdunUjISEhX72ce/TNN99cZkYiIiIiIiIiIiIicqMrdqLp8OHDLFu2zHxB9vk1ua9d+lq6dCmzZ8/m/vvvJysrq9DETnHlJJV2797Nd999l+caZJ+z1K5dO5KTk5k2bRoA7du3x8Eh71FUFosFgEOHDhU4zoQJE2yO0dPTE8hO6lxNvXv3xsHBgZSUFGbOnFlgnWnTppGamoqjoyO9e/e+KnGlpqYWWe7q6gpQ7NVujRs3pkGDBkD2FogFJV8+/vjjQlcABQUFUa9ePQDGjBlT5KooyD6rq6zs2LGjwARYSkoK77zzDgD33XcfXl5eZtkjjzwCZK94WrhwYYH9vvrqq0D2uVWdO3cuMoZmzZqxZcsWKleuTFhYGF27diU+Pj5PnWHDhgHwyy+/8OGHHxbZX2Ji4mXvoYiIiIiIiIiIiIhUXMVONH311Vc8/vjj5gsgLi4uz7VLX0OHDmXs2LHs3LkTgLFjx5Yq2Hbt2uHk5ERKSgqHDh2iSpUqNGrUKE+dnMTT3r17gfznMwF07doVgNdff53Vq1eTkZEBwLFjxxgwYAArVqywefXVHXfcAcBnn31W5Dk4Zc3f359Ro0YBMGPGDCZPnmwmu2JiYpg0aRJvvfUWkP0cqlevflXiGjlyJH379mXVqlWcP3/evJ6QkMC8efPMpGX37t2L3ecbb7wBZK/yGTBggJlUSklJYd68eYwcOTJPsiY3BwcH5s2bh4ODAzt27ODuu+82V7/l+Pfff5k3bx4tW7bkgw8+KOmUC2WxWOjduzcrV64033NHjx6le/fuHD16FHt7e6ZOnZqnTatWrcyk4HPPPcf7779vvq8iIiJ46qmn+PLLLwF47bXXcHFxuWwcTZo0YcuWLVSpUoWdO3dy33335Tkjq2PHjuZn/Nlnn2XMmDH8+++/Znlqaip79uxh3Lhx1K5dO89zFREREREREREREZEbi8Plq2Tz8vKiVq1a5vfh4eHY2dlRs2bNQtvY2dnh6enJHXfcwbBhw+jQoUOpgnVzc6N169bmlmmBgYH5zla6NLFUUKLp9ddfZ+PGjZw7d85cCVSpUiVzy7lp06axYcMGtm3bVuIYR4wYwc6dO1m1ahVr166latWqODg4ULNmTXbs2FHi/kpi2rRpnDx5khUrVjB16lRef/11LBYLsbGx5sqf/v3789prr13ROHJLT0/nyy+/NJMh7u7uODg45Fnx1b59e15++eVi99mrVy9efvll3njjDUJCQggJCcHb25v4+HgyMjLo0KED7du3Z/r06QW2v+eee/jyyy8ZNGgQe/fupXPnzjg6OuLp6UlCQkKeVVg9e/a0ad4FmTx5MvPnz6dPnz44Ozvj4uJivucMw+DDDz80t8rLbdGiRURGRrJt2zaee+45xowZg4eHBzExMeYWjS+88AIjRowodiyNGjUiNDSUTp06sXv3bu699142bNhgJujmzZuHvb09Cxcu5L333uO9997D3d0dR0fHPO+nnNhFRERERERERERE5MZU7BVNo0aN4tixY+YLoEqVKnmuXfr6559/+Pnnn/nkk09KnWTKkTtxlHvbvBwtWrQwt6/z9PTkzjvvzFendu3a7N+/nyeeeIIaNWoA4OLiQo8ePdiwYQMTJ060Ob7HHnuMTz75hPbt2+Pm5sbZs2cJDw8vdCu3suTk5ERISAgrV66kW7du+Pr6Eh8fj6+vL926dWP16tV8/vnnODo6XvFYckyaNIk5c+bQq1cvbrvtNhwcHEhISKBq1arce++9fPzxx4SGhlKpUqUS9fv666/zzTff0KlTJzw9PUlNTaVBgwbMmDGDzZs34+TkVGT7nj178vfffzN58mRatWqFu7s7MTExODs706RJE5588km++uorXnzxxdJMPw9vb29+/PFHJkyYQK1atUhNTcXHx4f777+fnTt38tRTTxXYzmKxsHnzZhYtWkRgYCAeHh4kJCRQrVo1evfuzdatW83VaiVx++23ExoaSvXq1fnxxx/p3Lkz0dHRQPZ7acGCBezatYshQ4ZQt25dMjMzzWcXGBjIq6++yuHDh/H39y/VfRERERERERERERGR65dhzVkSUUJTpkzB3d2d559/vqxjEqlQ6tSpQ3h4OIsXL2bIkCHlHU65iouLw2KxEDB6BXbObuUdzmUdn1H8LR2vpDoT1l+2zrUSq/yf4jy3snCtPHtb5nutxF6Qq/X8RKRisfXnmv6tFyk7Jf03/Eb5bJXkvuie2OZGuW/XKv3+fu2y5bNR3s9Tn+crp7yf7ZVSUd8zOX/LjY2NNRf3FKbYW+ddavLkybY2FRERERERERERERERkQqg2FvniYiIiIiIiIiIiIiIiORm84qm3Hbt2sWOHTs4deoUiYmJFLYbn2EYLFq0qCyGFBERERERERERERERkXJm8xlNAH/99RcDBgzgp59+ynPdarViGEaB1zIzM20d7rr30EMPsWvXrhK1Wb16NXfdddcViqj4rufYy0LLli05efJkidrs27ePgIAAndGUS0n29RQRERERERERERGR8nFVzmi6ePEinTp14vTp0/j5+dGxY0dWrFiBq6srvXv3JiIigr179xIfH0/lypXp3r1iHohVElFRUZw7d65EbdLS0q5QNCVzPcdeFi5cuFDi+eckVY8fP34FIhIRERERERERERERKX82J5ree+89Tp8+TevWrdm8eTNubm6sWLECi8XCsmXLAEhMTGTq1Km89dZbuLq68sEHH5RZ4Nej0NDQ8g7BZtdz7GVBySIRERERERERERERkfxsTjStX78ewzCYNm0abm5uBdapVKkSM2fOJC0tjTlz5hAUFESfPn1sDlZERERERERERERERESuHXa2Nvznn38wDIMOHTrkuV7QdmkTJkwA4KOPPrJ1OBEREREREREREREREbnG2JxoSk9Px9vbGweH/1sU5ebmRnx8fL66fn5+WCwWDh8+bOtwIiIiIiIiIiIiIiIico2xOdFUo0YNkpKS8lzz8/MjIyODf//9N8/19PR04uLiiI2NtXU4ERERERERERERERERucbYnGiqXbs2KSkpnDp1yrzWsmVLAD799NM8dZcsWUJWVhb+/v62DiciIiIiIiIiIiIiIiLXGJsTTTlnM4WGhprXBg4ciNVq5fXXX+fZZ59lwYIFjBw5kpEjR2IYBj179ixtvCIiIiIiIiIiIiIiInKNMKxWq9WWhr/++is9evQgMDCQxYsXm9cHDBjAF198gWEY5jWr1UqDBg3YtWsXFoul9FGLyHUpLi4Oi8VCbGwsnp6e5R2OiIiIiIiIiIiIiBSgJH/LtXlFU8OGDTl27FieJBPAZ599xvz58wkKCqJevXo0b96cV155RUkmuaZYrVYWL15M27Zt8fDwwGKx0Lp1az766COsVitDhgzBMAyGDBlSYPvVq1fTo0cP/Pz8cHJyws/Pjx49evDVV19dkXh/+OEHHnnkEWrXro2rqys+Pj40btyY5557jt27d+epGxwcjGEYBAYGFtpfaGgohmHkSQhfKj4+nhkzZtC2bVt8fHxwdnYmICCARx55JN+YIiIiIiIiIiIiInJjcijrDg3D4KmnnuKpp54q665FykRmZiaPPvooISEhQPZ71svLi/379/Pjjz8SGhqKk5NTgW3T0tIYNGiQ2dbOzg6LxUJkZCTr169n/fr19O/fn6VLl+Lo6FjqWJOSkhgyZAhffvmlec3Dw4OsrCyOHDnCkSNHCAsL4+DBg6UeK7eDBw9y//33m2ew2dvb4+bmxqlTpwgJCWHFihW88cYbTJw4sUzHFREREREREREREZHri80rmkSuV2+99ZaZKBo7diwXLlwgKiqK6Ohopk2bxhdffMHatWsLbPvSSy8REhKCYRhMmjSJixcvEhUVRWRkJC+99BIAy5cvZ9KkSWUS6+OPP86XX36JnZ0d48eP5+TJk8TFxRETE8OFCxf47LPPaNu2bZmMlePs2bPcd999nDp1ioceeoj9+/eTnJxMXFwc586dY9KkSdjb2/PSSy+xZs2aMh1bRERERERERERERK4vNiea7Ozs8Pf3L3b9m266CQeHMl9AJVIiiYmJTJ8+HYAnnniCd955B19fXwA8PT2ZOHEir776KtHR0fnanj59mtmzZwMwYcIEpk6dipeXFwDe3t688cYbjB07FoBZs2Zx9uzZUsW6efNmVqxYAcD777/PjBkzqFmzplleuXJlBgwYwIcffliqcS71yiuvcP78eQYMGMCqVato3ry5uTqratWqTJ06lTfffBPI3qZPRERERERERERERG5cpVrRZLVar2h9kbL2ww8/EBcXB8DLL79cYJ3nn38eNze3fNdXrVpFRkYGLi4uTJgwocC2r7zyCs7OzqSnp7Ny5cpSxfrxxx8DcMcdd/D000+Xqq/iSklJ4fPPPwdg/PjxhdYbNGgQAIcOHeLcuXOF1ktNTSUuLi7PS0REREREREREREQqjqu2dV5aWhp2dtqpT8rXTz/9BECtWrW46aabCqzj4eFB8+bN813fv38/AC1btsTT07PAtt7e3rRo0SJPfVvt2rULgB49epSqn5I4cOAAKSkpAHTp0oVq1aoV+GrYsKHZJjw8vND+pk+fjsViMV8BAQFXfA4iIiIiIiIiIiIicvVclb3sYmJiOH/+PN7e3ldjOJFCXbhwAYAaNWoUWa+gbSHPnz9faFluOdvb5dS3VUREBAC1a9cuVT8lcebMGfProlYq5ZaUlFRo2cSJE83tBAHi4uKUbBIRERERERERERGpQIqdaDp8+DAHDx7Mcy05OZlly5YV2sZqtRITE8PKlSvJysqiWbNmNgcqUpYMwyjvEC6rPGLMzMw0v05OTsbFxaVU/Tk7O+Ps7FzasERERERERERERETkGlXsRNNXX33F1KlT81yLi4vj8ccfv2xbq9WKYRh5VjaIlIcqVaoAeVfuFOT06dP5rlWtWhWAU6dOFdk2pzynvq2qVavGsWPHityariAODtkf65wt8AoSGxtb6Jg5wsPDqV+/fonGFhEREREREREREZEbS7EPTfLy8qJWrVrmC8DOzi7PtUtfderUoXHjxjz66KOEhoZy3333XbGJiBTHnXfeCWQnUY4fP15gnYSEBA4cOJDveu6zlwpL1MTExOQ5y6k07rrrLgDWrVtXonY5W1SePHmy0Dp79+4t8HrLli1xcnKyaVwRERERERERERERufEUO9E0atQojh07Zr4ge3VI7muXvv755x9+/vlnPvnkEzp06HDFJiFSXF26dMHT0xOAadOmFVjn3XffLfDcod69e+Pg4EBKSgozZ84ssO20adNITU3F0dGR3r17lyrWJ554AoBff/2VDz/8sNjtmjRpAmSv2ioooXT+/HkWLFhQYNtKlSoxYMAAAGbOnMmJEyeKHCsqKqrYcYmIiIiIiIiIiIhIxVPsRNOlJk+ezPPPP1+WsYhccZUqVWL8+PEALFiwgHHjxpnJkvj4eGbOnElwcLC5Kig3f39/Ro0aBcCMGTOYPHkyMTExQPZKpkmTJvHWW28BMHbsWKpXr16qWIOCgnjkkUcAGDlyJBMnTsyzbV9kZCQLFy40E1I57rrrLmrXrg3A4MGD2b9/P1arlaysLEJDQwkMDCQrK6vQcadNm0aNGjWIjIykbdu2fPLJJ8THx5vlFy5cYNWqVfTq1Yv+/fuXao4iIiIiIiIiIiIicn0zrFartbyDELmaMjIy6N+/PytXrgSyt4C0WCzExcWRmZnJwIEDMQyDZcuWMXz4cObNm2e2TUtLY+DAgaxYsSJP29jYWDN5079/f5YuXYqjo2OpY01KSmLgwIGsXr3avObp6YlhGOb2fU2aNOHgwYN52m3YsIH777+f9PR0ANzc3MjKyiIlJYVbbrmFqVOnmkmign4E/P777/Ts2ZM///zTnKeXlxepqakkJiaa9Tp37szGjRuLPZ+4uDjzfuWsLBMRERERERERERGRa0tJ/pZr84qmwqSlpbF27Vreeust5syZw44dO8p6CJFScXBwYMWKFSxcuJBWrVrh6upKRkYGLVq0YOHChSxbtsxcqeTl5ZWnrZOTEyEhIaxcuZJu3brh6+tLfHw8vr6+dOvWjdWrV/P555+XSZIJshNEq1at4ptvvqFXr17UqFGDlJQUHBwcaNy4Mf/973/56KOP8rW77777CAsLo0ePHnh7e5OZmUlAQAATJkzgwIEDVKtWrchxGzRowOHDh5k/fz5dunShcuXKxMXFYbVaqVevHn369OGjjz4yE24iIiIiIiIiIiIicmMq9oqm+Ph4vvrqKwD69euHs7Nzvjr79++nd+/eebb3AmjdujWrV6++7B+3Ra4FVquVWrVqcerUKZYtW8bAgQPLO6QKQyuaRERERERERERERK59V2RF0+bNmxkyZAjvvfdegUmm8+fP85///IdTp05htVrzvPbu3csDDzxQ8pmIlINPPvmEU6dO4eDgQOfOncs7HBERERERERERERGRa1axE01hYWEADBgwoMDymTNnEhkZCcDgwYPZuXMnhw4dYsyYMVitVg4cOGCeiSNS3nLOaMp5zwKcO3eOGTNm8NRTTwEwaNAgqlevXl4hioiIiIiIiIiIiIhc84q9dV6HDh3YtWsXhw4d4o477shXXq1aNS5cuMD999/PmjVr8pQ9/vjjLF26lH79+rF8+fIyCVykNLy8vIiNjQWyz0FydHQ0v4fs9/s333yj7d3KmLbOExEREREREREREbn2leRvuQ7F7fTs2bM4ODhw++235yv79ddfOX/+PIZh8N///jdf+ahRo1i6dCk///xzcYcTuaLmzJnDd999x88//8z58+dJSEigSpUqNG3alEceeYSBAwfi6OhY6nFOnjxJy5YtS9QmICCAffv2lXpsEREREREREREREZErrdiJpnPnzuHp6YmdXf7d9n788UcAnJycaN++fb7yO+64A8MwOHPmTClCFSk7gwYNYtCgQVd8nMzMTM6dO1eiNi4uLlcoGrmW1ZmwvtCy4zO6X8VIrk1F3Z/crta9Kk48Fe25XW7O1+N89bkTkavhRvw343pVZ8J6PYtrnD5PhauIv6uVht4r5Sfn3l+J+6vf3ysGfT4rLj3ba8uV/HlckGInmjIzM4mLiyuw7MCBAwA0aNAAJyen/IM4OODt7Z1nazKRG0GdOnUo5u6UIiIiIiIiIiIiIiLXnfzLkwpRtWpVMjIy+Oeff/KV7d69G8MwitwiLCEhgUqVKtkWpYiIiIiIiIiIiIiIiFxzip1ouvPOOwH46KOP8lz/66+/OHjwIAAdO3YssG14eDhpaWnUrFnTxjBFRERERERERERERETkWlPsRFP//v2xWq28++67vPXWW/zxxx9s3ryZPn36YLVaqVSpEvfff3+Bbbdv3w5kn9UkIiIiIiIiIiIiIiIiFUOxE019+vTh7rvvJiMjgwkTJnD77bfTpUsXjhw5gmEYjB07Fg8PjwLbhoSEYBgG7du3L7PARUREREREREREREREpHwVO9EE8PXXX9OjRw+sVqv5AnjyySd59dVXC2zz119/8f333wPwn//8p5ThSkUUHByMYRgEBgaWdygiIiIiIiIiIiIiIlICDiWpbLFYWLt2LX///bd5LlPLli2pXbt2oW0cHR35+uuvcXR05Oabby5VsCKS3/Hjx1myZAmQnbQTEREREREREREREblaSpRoylGvXj3q1atXrLp16tShTp06tgwjN4jKlStTv359atWqVd6hXJeOHz/OlClTACWaREREREREREREROTqsinRJFKWRo4cyciRI8s7DBERERERERERERERKaESndEkIiIiIiIiIiIiIiIikkOJpqskMDAQwzAIDg7GarWyYMECWrdujaenJx4eHrRt25ZPP/20yD5Wr15Njx498PPzw8nJCT8/P3r06MFXX31VZLsNGzbw0EMPUbNmTZycnPD09OTmm2+mS5cuvP3220RFRRXYLj4+nhkzZtC2bVt8fHxwdnYmICCARx55hN27d9t8Ly4VHByMYRgEBgbmKxsyZAiGYTBkyBAAVq5cSWBgID4+Pri5udG0aVNmz55NVlZWmcUDkJWVxYoVK+jZsyf+/v44OztTpUoVmjdvzvjx4/nll18KbGfLPTt+/DiGYWAYBsePH+fcuXOMGjWKm266CRcXF/z8/HjkkUc4evRovrZ16tQhKCjI/D6nn5xXzn0r6xj/+ecfhg0bxk033YSzs7O2xxQRERERERERERG5QWnrvKssMzOTXr168fXXX+Pg4ICbmxvx8fHs2bOHPXv28Ndff5nn7eRIS0tj0KBBhISEAGBnZ4fFYiEyMpL169ezfv16+vfvz9KlS3F0dMzTdurUqUyePNn83s3NDavVyrFjxzh27BgbN26kRYsW+ZI8Bw8e5P777+fUqVMA2Nvb4+bmxqlTpwgJCWHFihW88cYbTJw48QrcpYKNHDmSuXPnYmdnh6enJ8nJyRw6dIjRo0fz008/sXTp0jIZJzIykt69e7N9+3bzmpeXFykpKfz000/89NNP/PHHH6xZsyZPu7K4Z7/++itDhw7l/PnzuLm5AXD+/HlCQkL47rvv2L59O02aNDHrV6lShbi4OKKjowHw8/PL05/FYinzGHft2sXw4cNJSEjAzc0t33tORERERERERERERG4cWtF0lc2dO5fQ0FCWLFlCXFwcsbGxnDx5kvvvvx+A119/nb/++itPm5deeomQkBAMw2DSpElcvHiRqKgoIiMjeemllwBYvnw5kyZNytMuPDzcTFqNHTuW06dPk5iYSHx8PDExMYSFhfHMM8/g4eGRp93Zs2e57777OHXqFA899BD79+8nOTmZuLg4zp07x6RJk7C3t+ell17Kl2y5UtauXcuCBQuYNWsW0dHRREdHExkZyZNPPgnAsmXL2LJlS6nHycjIoGfPnmzfvh1nZ2dmzpzJ+fPniY6OJj4+ntOnTzN//nxuv/32PO3K6p4NHDiQW265hX379pGYmEhCQgIbN26kevXqxMXF8dxzz+Wpv2/fPlavXm1+HxERkec1e/bsMo9x+PDhNGzYME+MP/zwQ4F1U1NTiYuLy/MSERERERERERERkYpDiaarLDo6mq+++orBgwfj6uoKQM2aNfnyyy+pUaOGuWVbjtOnT5vJggkTJjB16lS8vLwA8Pb25o033mDs2LEAzJo1i7Nnz5pt9+7dS1ZWFrfeeivvvPMONWrUMMssFgvt27dn7ty5NG/ePE+Mr7zyCufPn2fAgAGsWrWK5s2bm6tWqlatytSpU3nzzTeB7G3vrobo6Gjmz5/PmDFj8PT0BMDX15cFCxaY8S9fvrzU4yxdupSdO3diGAarV69m3LhxVKlSxSyvUaMGw4YNY9q0aXnaldU98/PzM1eZATg4ONC5c2fmz58PQFhYmLkaqaTKKkZfX182bdpkxghw6623Flh3+vTpWCwW8xUQEGBT7CIiIiIiIiIiIiJybVKi6Spr165dnjN1cjg7O3PfffcBcPjwYfP6qlWryMjIwMXFhQkTJhTY5yuvvIKzszPp6emsXLnSvJ6TkIqPjycxMbFY8aWkpPD5558DMH78+ELrDRo0CIBDhw5x7ty5YvVdGgEBAQwePLjAsgceeADIe99s9fHHHwPwn//8h//85z/FalOW9+z55583E5C5devWDScnJwCOHDlSrLiuVIwjR47E3d29WONOnDiR2NhY83Xy5MkSRi4iIiIiIiIiIiIi1zKd0XSVtW7dutCynBVHUVFR5rX9+/cD0LJlS3Mlz6W8vb1p0aIFO3fuNOsDtGrVisqVK3P27Flat27NiBEj6Ny5M/Xr18cwjAL7OnDgACkpKQB06dKlWHMKDw/PdzZQWWvZsmWhMRd032yRkZHBvn37AMytDIujLO9ZYe8PBwcHqlSpwunTp22aZ1nG2K5du2KP6+zsjLOzc7Hri4iIiIiIiIiIiMj1RYmmq+zS85Byc3DIfhzp6enmtfPnzwPg7+9fZL81a9bMUx+yVzQtX76cAQMG8Ouvv5rn+1gsFu6++2769u1Lv379zO3TAM6cOWN+XdyVSklJScWqVxolvW+2uHjxotlH7dq1i92uLO/ZlZpnWcZYtWrVEo8vIiIiIiIiIiIiIhWTEk0VXOfOnTl27BirV69m8+bN7Nq1i7/++ot169axbt06ZsyYwYYNG8xEVmZmptk2OTkZFxeX8gr9qitsxdTlXA/3rCxjtLe3L4uQRERERERERERERKQC0BlN17ic1SOnTp0qsl5OeUGrTSpVqsTAgQNZsmQJf/75J6dOnWLmzJm4uLjkWekEUK1aNfPr8PDwspjCdcPHx8dc3VWSuV8P9+x6iFFERERERERERERErj9KNF3jWrRoAWSf1RQbG1tgnZiYmDxnOV2Ov78/48aN4/nnnwdg48aNZlnLli1xcnICYN26daWK/Xrj4OBAq1atgJLNvbzvmZ3d/32MrVZrgXXKO0YRERERERERERERqZiUaLrG9e7dGwcHB1JSUpg5c2aBdaZNm0ZqaiqOjo707t3bvJ6amlpk366urkDeREWlSpUYMGAAADNnzuTEiRNF9hEVFVWseVwvnnjiCQC+/fZbvv3222K1Ke975unpaX4dExNTYJ3yjlFEREREREREREREKiYlmq5x/v7+jBo1CoAZM2YwefJkM5kQExPDpEmTeOuttwAYO3Ys1atXN9vOnDmTbt268cknn+TZei81NZUVK1aY7bp3755nzGnTplGjRg0iIyNp27Ytn3zyCfHx8Wb5hQsXWLVqFb169aJ///5XZN7lZeDAgbRv3x6r1Urv3r156623iIyMNMvPnDnDu+++y/jx4/O0K897duutt5qrlRYuXFjoqqYb+bmKiIiIiIiIiIiIyJXhUN4ByOVNmzaNkydPsmLFCqZOncrrr7+OxWIhNjaWrKwsAPr3789rr72Wp11WVhbff/8933//PZC9gsnV1ZXo6GgzGdGgQQNmzZqVp1316tXZtGkTPXv25M8//2TQoEHY2dnh5eVFamoqiYmJZt3OnTtfyalfdQ4ODnz11Vc89NBDhIWFMW7cOMaPH4/FYiEjI4OEhAQAHnzwwTztyvOeubm5MXDgQBYtWsS4ceMIDg6mcuXKGIbBww8/zNtvv13uMYqIiIiIiIiIiIhIxaRE03XAycmJkJAQ+vbty6JFi9i/fz/R0dH4+vrSokULnnrqKXr16pWv3bBhw/D392fr1q0cOXKEs2fPEhsbi7e3Nw0bNqR3794MHz4cFxeXfG0bNGjA4cOHWbp0KatWreLgwYNERUXh5OREvXr1aNasGffeey8PP/zw1bgFV1XlypUJDQ1l+fLlfPbZZxw4cIDo6Gi8vb2pX78+9957LwMHDszXrjzv2dy5cwkICGDVqlX8888/5tZ4uVdjlXeMIiIiIiIiIiIiIlLxGNbC9tkSESljcXFx5mq83GdLCdSZsL7QsuMzuhdadqMo6v7kdrXuVXHiqWjP7XJzvh7nq8+diFwNN+K/GderOhPW61lc4/R5KlxF/F2tNPReKT859/5K3F/9/l4x6PNZcenZXlvK4udxSf6WqzOaRERERERERERERERExCZKNImIiIiIiIiIiIiIiIhNlGgSERERERERERERERERmziUdwBSMYwaNYqQkJAStZk9ezb9+vUr81h27drFQw89VKI2d911F6tXry7zWKRiKO75QKVxrexRezXmaotr6ewluHaeV25X+tldyTmX1/vuWnyOIlIx5P65pp81165L//0pq2d1rf4+VRGUx+fpenmeV/PeXA/3RD97r76yPpupoPeZnuv1S78blZ+r+TNbz/byKvLzUKJJykRsbCznzp0rUZvk5OQrEktaWlqJY4mKiroisYiIiIiIiIiIiIiIVGRKNEmZWLJkCUuWLCnvMAAIDAzEarWWdxgiIiIiIiIiIiIiIhWezmgSERERERERERERERERmyjRJCIiIiIiIiIiIiIiIjZRoklKpE6dOhiGcdW3ycvMzGTWrFk0a9aMSpUqYRgGhmGwZs2aqxrH9WTIkCEYhsGQIUPKOxQRERERERERERERqaB0RpOUmeDgYCA7wVGnTp0y7Xv06NG8//77ADg5OeHn5weAi4tLmY4jIiIiIiIiIiIiIiLFp0STlEjdunVxcXHBYrHkK5syZQoAgYGBZZpoio+PZ/78+QC8+eabvPDCCxiGUWb9i4iIiIiIiIiIiIiIbZRokhLZvHnzVR/z6NGjpKenA/D0008rySQiIiIiIiIiIiIico3QGU1yzUtKSjK/dnd3L8dIREREREREREREREQkNyWarnGNGjXCMAzzfKLcdu/ejWEYGIbBww8/nK88PT0dDw8PDMPIsxJpz549jB8/ng4dOlC7dm1cXFzw8vKiTZs2zJw5k4SEhELjqVOnDoZhsGTJEvPakCFD8qwyCgoKMuMyDMPmbfSWLFmCYRgEBgaa13L3m/t6jtWrV9OjRw/8/PzMs5x69OjBV199Veg4OfEPGTIEq9XKwoULad++Pb6+vvnmWlKBgYEYhkFwcDBpaWnMmDGDxo0bU6lSJby9vbn33nv57rvvLtuPLfO6nB9++MF8fwwZMoSMjIw85Tt37uSxxx4z3yMWi4VWrVpd9j0iIiIiIiIiIiIiIjcObZ13jQsKCuKXX35hy5YtjBw5Mk/Zli1bzK9DQ0OxWq15Ej4//vgjCQkJODs7065dO/N627Ztza/d3Nxwc3MjOjqavXv3snfvXpYtW8bWrVupWrVqsWK0WCz4+flx7tw5ALy9vXFycjLLq1SpUrJJ/3+urq74+fmRlpZGdHQ0AH5+fma5j4+P+XVaWhqDBg0iJCQEADs7OywWC5GRkaxfv57169fTv39/li5diqOjY4HjWa1W+vTpw6pVq8z2dnZlk4tNS0ujc+fOhIWF4eDggLu7OzExMWzatIlNmzYxefJkgoODC2xX2nkV5NNPP2Xo0KGkp6czfvx4ZsyYYZZlZWUxZswY5syZY15zd3cnMTGRffv2sW/fPhYvXsyGDRuoXbu27TdFRERERERERERERK57WtF0jQsKCgJg27ZtZGVl5SnbunUrAJ6enly8eJFDhw4VWN6mTRtcXFzM6/fffz8hISGcPXuWxMREoqKiSEpKYvXq1dSvX5/ffvuNESNGFDvG2bNnExERYX6/evVqIiIizNe+fftKNun/r1+/fkRERLB69WrzWu5+c19/6aWXCAkJwTD+X3t3HhZlufAP/DswC4PAsCggIuK+a25puYChqaXmbilpuRX6tqhHXy0N10orLV8zyzxZJ3P3lL0dcwdFUsMlEfcEFXdkkWFf7t8f/uZ5GWYGhmHwYfT7ua65rmHu9Zn5Osjccz+PAnPnzsX9+/eRmpqKlJQUvPfeewCADRs2YO7cuRbH2759O3755Rd8+umnSEtLQ2pqKjIyMtCnTx+b5l/SqlWrcOzYMaxevRqZmZlIS0vDtWvXpJ1o8+fPx44dO0za2eO4Svv0008xZswYFBYW4vPPPzdaZAKAyMhIrFixAr6+vvjyyy9x//59ZGZmIicnBwcOHEC7du1w4cIFDBkyxCSTRERERERERERERPRk4UJTNRcaGgonJyekpqbi1KlT0uN5eXmIjY2Fq6srJk2aBMB4h1PJnw2LVQY7duzAiBEj4O/vLz2m1WoxePBg7Nu3DxqNBj///DOuXbtWRUdlXzdu3MAXX3wBAJg1axYWLFgAT09PAA93Vy1evBjTpk0DACxbtgy3bt0y249er8eyZcswffp0eHh4AHi4k6d27dqVnmNGRgZWrVqFN954Q1r0q1u3LjZt2oQePXoAgLRwZO/jMhBCYNq0aZgxYwZUKhU2bNiAd955x6hOUlISPvroI2i1WuzevRuTJ0+Wdo6pVCqEhoYiOjoagYGBOHHihNnFsZLy8vLw4MEDoxsRERERERERERERPT640FTNeXl5oW3btgCMF5KOHDmCnJwcdO3aFX379jUpz8vLwx9//AHAdKGpLHXq1EHbtm0hhEBsbKw9DqHKbdu2DYWFhXBxccGsWbPM1pkzZw40Gg0KCgqwdetWs3W8vLzwxhtvVMkc69ati9dff93kcScnJ8yZMwcAkJCQgPj4eKnMXscFPDwF3+jRo7F8+XK4u7vjP//5D0aOHGlSb926dSgqKkLfvn2l3JXm7u6OQYMGAQB27dplcUwA+Oijj6DT6aRb3bp1y6xPRERERERERERERI6FC00O4LnnngNgvJBkuP/cc8/h2WefhUajwaFDh1BUVAQAiI2NRW5uLrRaLbp06WLUX3FxMX766ScMHDgQQUFB0Gq1UCgU0u3YsWMAgOTk5EdxeJUWFxcHAOjUqZO0E6k0Ly8vdOzY0ah+aZ06dTK6tpQ9hYaGGl0/q6Tu3btDqVSazM1ex5WZmYkXX3wRGzZsgJ+fH6KjoxEWFma27uHDhwEAu3fvhr+/v8Xbd999BwC4evVqmcc9e/ZsZGRkSLfr16+XWZ+IiIiIiIiIiIiIHItS7glQ+Xr27InPPvsMhw4dQmFhIZRKpXT9peeee05aTIqOjsaff/6JLl26SOXPPvus0eJJdnY2+vfvL5UDgFqthre3N1QqFQAgNTUVBQUFyMrKeoRHabu7d+8CeLgbqyyBgYFG9Uvz9fW178RKKGtuLi4u8PHxwZ07d4zmZq/jKnktq19//RXt2rWz2NfNmzcBAFlZWVa9/tnZ2WWWazQaaDSacvshIiIiIiIiIiIiIsfEHU0OoEePHlAqldDr9Th27Biys7Nx9OhR6HQ6dOjQAYDpridL12davHgxDhw4AK1Wi+XLl+Pq1avIzc3F/fv3cfv2bdy+fRudO3cG8PCaPk8SZ2dnuadQJUJCQqRT1k2YMAH37t2zWNewI+6///u/IYQo9xYVFfUoDoGIiIiIiIiIiIiIqikuNDkAd3d3aUFp//79iImJQX5+Pnr06CEtjhgWlPbv34+srCzp9HeGBSiDjRs3AgA++OADvPvuuwgKCjI5pdvt27er9HjszbATqbxT/RnKq3LnkiU3btywWJaXl4f79+8DMJ6bvY4rODgYUVFRqFevHk6fPo2ePXta3P3k7+8PoPxT4hERERERERERERERAVxochglF5JKnjbPoHPnznB1dUVsbCz27duHgoICuLm5oVOnTkb9GK6RY+n0aUlJSbh8+bJNczQsWD3qnVAlr1GUkZFhtk56errRNY8etejoaIvPi+GUiMD/HUvJ+/Y4rgYNGiAqKgrBwcFISEhAaGio2QXFrl27AgD27t2L3NxcK46MiIiIiIiIiIiIiJ5kXGhyEIZFpT/++AM7d+40egx4eJ2lrl27IicnBx9++CEAoFu3blAqjS/DpdPpAAB//fWX2XFmzZpl8xw9PDwAPFz8eJSGDh0KpVKJ3NxcLFmyxGydDz/8EHl5eVCpVBg6dOgjnR8AXLt2Dd9//73J48XFxdLr1aJFC7Ru3Voqs/dxBQcHIzo6Gg0aNMC5c+cQGhqKW7duGdUZN24clEolUlJSEBkZWWZ/+fn50Ov1ZdYhIiIiIiIiIiIioscbF5ocRNeuXaFWq5Gbm4u//voLtWrVMlqUAP5v4eno0aMATK/PBAB9+/YFACxatAjbt2+XdtIkJiZi1KhR2Lx5M7y8vGyaY6tWrQAA69evR3Z2tk192KJOnTp45513AAAff/wxIiMjpcWu9PR0zJ07F5988gkAYNq0aahdu/Yjm5uBTqdDREQE1qxZI+0Uun79Ol555RVph9qiRYuM2lTFcQUFBSE6OhqNGjXChQsXEBISYnRav4YNG2Lu3LkAgKVLl2LMmDE4c+aMVF5YWIhTp05hwYIFaNSoEU6dOmXbE0JEREREREREREREjwUuNDkIV1dXdO7cWfo5NDTU5NpKpReWzC00LVq0CH5+fsjMzMTQoUOh1Wrh6emJBg0aYMOGDVi8eDHatGlj0xzffPNNAMC2bdvg6emJwMBABAcHo1u3bjb1VxEffvghRowYASEEFixYAB8fH3h7e8PHx0dawHnllVewcOHCKp+LOZMnT0bHjh0xadIkeHh4wNvbG0FBQdi8eTMAYM6cORg8eLBJu6o4rsDAQERHR6Np06a4dOkSQkJCpFMqAsDcuXMxd+5cKBQK/Otf/0Lr1q3h6uqKmjVrwsXFBe3atUNkZCSuX79ukkEiIiIiIiIiIiIierJwocmBlFw4KnnaPIOOHTtKp6/z8PBA+/btTerUq1cPcXFxGD9+PAICAgAALi4u6N+/P3bt2oXZs2fbPL/w8HD861//Qrdu3eDq6opbt27h6tWrSE5OtrlPa6nVamzatAlbt25Fv3794OPjg8zMTPj4+KBfv37Yvn07fvrpJ6hUqiqfi6X57du3Dx9++CGaNm2KvLw86HQ6hIWF4bfffrO4UFRVxxUQEICoqCg0b94cf//9N0JCQnD16lUAD6+1tWDBApw+fRqTJ09G8+bN4ezsjIyMDHh5eeHZZ5/FjBkzEBsbK13TiYiIiIiIiIiIiIieTMryq1B1MX/+fMyfP99iuWExoDyBgYH49ttvLZZHRUVZLEtKSiqz7/DwcISHh5c7h4oIDQ2FEMKqukOHDq3wNZjWrVuHdevW2TCzilGr1Zg9e7ZNi3lVcVz+/v44e/asxfJWrVrhyy+/rNCYRERERERERERERPRk4Y4mIiIiIiIiIiIiIiIisgkXmoiIiIiIiIiIiIiIiMgmXGgiIiIiIiIiIiIiIiIim/AaTfRIDBkyBLGxsRVqs337djz77LNVNCPrOfLcqxvDtbYePHgg80wqpjgvu8rHqC7PyaM4Vls8qufH2uOvLq9XSVX92lXlMcuVu+r4OhLR46Hk+xrfa6qv0r9/7PVaVdf/Tz0O5Pj35Civ56N8bhzhOeF776NnyEVVvpfydXVc/L+RfB7lezZf2/I52uth6MPwmW5ZFMKaWkSVFBoaiujo6Aq1OXDgAEJDQ6tmQhXgyHOvbpKTk1G3bl25p0FEREREREREREREVrh+/ToCAwPLrMOFJiJ6ZIqLi3Hz5k24u7tDoVA88vEfPHiAunXr4vr16/Dw8Hjk49OTi9kjOTB3JAfmjuTA3JEcmDuSA3NHcmDuSA7MXfUghEBmZiYCAgLg5FT2VZh46jwiemScnJzKXf1+FDw8PPhLimTB7JEcmDuSA3NHcmDuSA7MHcmBuSM5MHckB+ZOfjqdzqp6ZS9DEREREREREREREREREVnAhSYiIiIiIiIiIiIiIiKyCReaiOiJodFoEBkZCY1GI/dU6AnD7JEcmDuSA3NHcmDuSA7MHcmBuSM5MHckB+bO8SiEEELuSRAREREREREREREREZHj4Y4mIiIiIiIiIiIiIiIisgkXmoiIiIiIiIiIiIiIiMgmXGgiIiIiIiIiIiIiIiIim3ChiYiIiIiIiIiIiIiIiGzChSYiqjLZ2dnYuXMnFi1ahCFDhqBevXpQKBRQKBSYN2+eVX1s3boVAwYMQEBAANRqNWrUqIGmTZti4sSJOHXqVIXn9Oabb0pzCA4Otljvxo0bWLVqFYYPH45GjRpBq9VCq9Wifv36eOWVV7B//36rxrtz5w6mT5+Opk2bQqvVwtvbG927d8e3334LIUSF50/lc+Tc2as9cyePxyV7t2/fxty5c9GhQwd4e3tDq9WiXr166Nu3Lz7++GMUFBRYbMvsPXqPQ+4qOz5z9+jJmbt58+ZJY5V1u3z5cpnjnzhxAuHh4QgMDIRGo0Ht2rUxePBgq/+Pd+DAAQwePBi1a9eGRqNBYGAgwsPDceLECavaU8U5cu5Onz6NxYsXo0+fPqhTpw7UajXc3d3RqlUrvP3227h48aJV869sbqniHDl35hQUFKBNmzZS29dee63cNszdo/e45O7kyZOIiIhA06ZN4ebmBg8PDzRp0gQvv/wyNmzYUGZb5u7Rc/Tc5eTkYPny5ejevTt8fHygUqmg0+nQoUMHvP/++7h9+3a582fuKkkQEVWRAwcOCABmb5GRkWW2zc3NFQMGDDBq4+bmJtRqtfSzk5OTWLZsmdXz2b9/v1AoFFL7evXqma137do1o3oAhKurq9BqtUaPjRs3ThQWFlocLy4uTvj4+BjNX6lUSj/36dNH5OXlWT1/so6j5s5e7Zk7+TwO2du4caPw8PCQ2ri4uBj9DECkpaWZbcvsycORc2eP8Zk7eciZu8jISAFAqFQq4efnZ/GWmJhocQ5r1qwxyolOpzPKbXnHYJgDAKFQKIROp5N+ViqVYs2aNeU8g2QLR83djz/+aDJfnU4nnJ2dpZ/VarVYvXp1mcdQ2dySbRw1d5aUfP8CIMaOHVtmfeZOHo6eu+LiYjFjxgzh5OQkjenu7m70mUrbtm0ttmfu5OHIuUtKShKNGzc2+V1bMoM6nU5ER0dbPAbmrvK40EREVebAgQPCy8tLhIWFiRkzZogNGzYIf39/q96gP/jgA+nNfPLkySI5OVkIIURRUZGIi4sT3bp1k/64j4uLK3cuWVlZomHDhkKlUomOHTuW+eFXYmKiACDCwsLE999/L27cuCGNnZCQIF566SVpbnPmzDHbR3p6unSszZo1E3/++acQQoi8vDyxcuVKoVKpBAARERFR7typYhw1d/Zoz9zJy9Gzt3nzZuk/4pMmTRIJCQlS2YMHD8TBgwfF1KlThV6vN2nL7MnHkXNX2fGZO/nImTvDBxEhISE2zT02Nlb6gH/QoEHi+vXrQgghUlJSxBtvvCHNbdOmTWbbb9q0SarzxhtviJSUFCGEENevXxeDBg0SAISzs7OIjY21aX5kmaPm7rvvvhMajUaEh4eL3377TWRkZAghHr5X7d27V7Rq1Uoae8+ePWb7qGxuyXaOmjtzTp8+LVQqlWjQoIHw8/Mrd6GJuZOPo+furbfekhYali5dKm7duiWV3bt3T2zbtk3Mnz/fbFvmTj6OnLsePXoI4OEXN1auXCkyMzOFEA9/1/7yyy+iTp06AoDw8/MT2dnZJu2ZO/vgQhMRVRlzu33q1atn1S+p4ODgMn/JpKenCzc3NwFAzJo1q9y5vPvuuwKAeP/998XYsWPL/PArPT1dHD9+3GJfxcXFom/fvtJ/nHJyckzqzJkzRwAQWq1WXLlyxaT8ww8/lD6IuHDhQrnzJ+s5au7s0Z65k5cjZ+/mzZvCy8tLABCfffZZuf2XxuzJx5FzV9nxmTv5yJm7yn4QYfigo3Xr1iI/P9+kvE+fPgKACA4ONjnOwsJC6Tj79u1r0jYvL09aNOjWrZtN8yPLHDV358+fl764Zk5aWpr0QV5YWJjZOpXJLVWOo+autMLCQulLILt375aOoayFJuZOPo6cu507dwrg4c6UP/74o8LtmTv5OGrukpKSpIUgS/Pcu3evVOf33383KWfu7IPXaCKiKuPs7Gxz21u3bgEAOnbsaLZcp9OhSZMmAAC9Xl9mX0eOHMGKFSvQpEkTzJkzp9yxdTod2rdvb7FcoVBg3Lhx0tjnzp0zqfPDDz8AAF5++WXUr1/fpPytt96Cm5sbioqKsH79+nLnRNZz1NzZoz1zJy9Hzt6KFSuQlpaGdu3aYerUqRWY+UPMnnwcOXeVHZ+5k091yV1FXblyBTExMQCAf/zjH1CpVCZ1Zs+eDQBISkrCwYMHjcqio6Nx9epVo3olqdVq/OMf/wAAxMTEIDEx0a7zf9I5au6aNm2KgIAAi+Wenp4YMmQIAODPP/80Ka9sbqlyHDV3pX322WeIi4vDmDFj0Lt373LrM3fycuTczZ8/HwAwZcoUdOnSpUJtmTt5OWruDGOXNf7TTz8t3S89PnNnP1xoIqJqqUGDBgCA48ePmy3PyMiQLppr6RcJAOTl5WHcuHEQQuCbb76Bi4uLXeZXsp+ioiKjsgsXLuDatWsAgH79+plt7+bmhu7duwMAdu/ebZc5UeVVl9zZ0p65c2xyZ8/wgX14eDgUCkVFps7sOTC5c1eZ8Zk7x2Wv3Nliz5490v2+ffuardOtWze4u7sDMM2Nob27uzu6du1qtn3JPDJ31YecubOG4X2z9N8VQOVzS/KpLrm7ePEiIiMjUatWLSxbtsyqNsyd45Izd5cuXcKRI0cAAK+++mqF2zN3jkvO3BnGBoC4uDizdY4dOwYAcHJyQrt27YzKmDv74UITEVVLERERAICoqChMmTIFN27cAAAIIXDixAn0798fer0ezzzzDMLDwy32s2DBApw7dw7jx49HSEiI3eYXFRUF4OE3Vw3fyjA4c+aMdL9Vq1YW+zCUnT171m7zosqpLrmzpT1z59jkzF5iYiJu3rwJAOjQoQPi4+MxatQo1K5dGxqNBoGBgRg5ciQOHz5stj2z57jkfs+rzPjMneOyV+4SEhLQqlUruLq6ws3NDU2bNsXEiRNx8uRJi20MufH19YWvr6/ZOs7OzmjWrJk0hrn2zZs3t/itX19fX9SqVctse5KPnLmzhuFvi9atW5uUVTa3JJ/qkDshBMaPH4/c3FwsX74cPj4+Vs2duXNccubOsCtEpVKhTZs2+PXXX9GrVy94eXlBq9WiSZMmeOutt5CUlGS2PXPnuOTMna+vr7Qz+KOPPsKXX34p7VoqKCjAjh07MHbsWADA9OnTjRamAObOrh792fqI6Elm7fldi4qKxMyZM6UL0+P/Xw9JrVYLAMLf31/MmjXL7EX8DE6cOCGUSqXw8/MTaWlp0uO2XCunpCtXrghXV1cBQLz66qsm5StWrJDmbLjYrzmff/65VM9woUKqGo6UO1vbM3fVkyNk7/fff5fGXLx4sTSmVqsVHh4eUplCoRALFiwwac/sVT+OkLvKjs/cVT+PKneGc/gDEE5OTsLb21solUqj96r333/fbNshQ4YIAKJdu3ZlznHQoEECgOjQoYPR4+3btxcAxODBg8ts/9RTTwkAYujQoWXWo8pzhNyVZ+PGjVI/a9euNSmvbG7J/hwpd4bfl3369DF7DJau0cTcVT+OkLtZs2YJAMLX11fMmDFDauPh4SG0Wq3RfHbu3GnSnrmrfhwhd0IIkZqaKl1HyXDT6XTSfFq3bi3WrFljti1zZz/c0URE1ZKTkxM++ugj/POf/4SbmxuAh+dRzc/PBwDk5uYiIyMDWVlZZtsXFhZi3LhxKCwsxIoVK+Dp6WmXeeXk5GD48OHIzs5GzZo18fHHH5vUyczMlO67urpa7KtkWck2JB+5c1eZ9sydY5Mze2lpadL9uXPnIiAgAHv27IFer0dGRgYSEhIQGhoKIQQ++OADbN++3ag9s+e45H7Pq8z4zJ3jqmzuGjdujKVLl+LChQvIzc3F/fv3kZWVhV27dqFDhw4QQmDx4sX47LPPTNoaMlBWZkqWl85MZduTfOTMXVkuXryIN998E8DD0/K89tprJnWYO8cld+6SkpIwe/ZsuLq64quvvqrQ3Jk7xyVn7gx/V6SkpOCTTz7Bc889h7NnzyIjIwN6vR67d+9GUFAQ9Ho9RowYIV330IC5c1xyv995eXlh+/btmD59unQq+IyMDBQXF0tzSUlJMXuKWubOfrjQRETVUkpKCsLCwvDaa6/hmWeeQUxMDNLT03Hr1i1s374dtWrVwldffYXOnTtLW3JL+vjjj3Hq1Cn0798fI0aMsMucCgsLMWrUKBw/fhwqlQrr168v88K+5Hjkzl1V5JYcg5zZM/znG3h4aoNt27ahV69ecHJ6+N/EFi1a4Ndff4W/vz+A/7vALzk+ud/zKjs+OabKvu6jR4/GjBkz0KRJE+lizWq1Gs8//zxiYmLQqVMnAMC8efOQkZHxSI+Nqq/qmLvbt2/jxRdfRHp6OgICArBhwwbpdy89HuTO3cSJE5GVlYUFCxagfv36VXuwVG3ImTvD3xXFxcUICAjAr7/+iubNmwN4uBDRu3dvbN26FQqFApmZmVZfM4yqP7nf706ePIlmzZph+fLlmDx5MuLj45GVlYW///4bn3/+OVJTUzF79mwMGDDA6O9fsjMZd1MR0RPI2m23L7zwggAgQkJCRHFxsUn5nTt3RM2aNQUAER4eblSWkJAg1Gq1cHNzE9euXTNpa8up8woLC8WIESMEAKFUKsWWLVss1uXpfKofR8hdZdszd9WTI2Rvx44dUiZ69eplcY4LFy6U6t2+fVt6nNmrfhwhd5Udn7mrfh5F7qyxZ88e6TXftm2bURlPnff4cYTcmXPnzh3RokULAUD4+fmJc+fOWazLU/pUP46QuzVr1ggAon379qKwsNDiMfDUeY7DEXI3bdo0qWzRokUW+wgLCxMARLNmzYweZ+6qH0fI3YMHD4Sfn58AID744AOz7ffu3SsUCoUAIL799lujMubOfvh1GSKqds6dO4f//Oc/AGC07bUkX19fjBkzBgCwfft2CCGksilTpiA/Px/vv/8+vLy8oNfrjW6FhYUAHn5z3/BYQUGBxfkUFRUhPDwcmzdvhrOzM3788UcMGzbMYv2Su5zK+ga2oczDw0PaWkzykTt3lW3P3DkuubNXp04d6b7hG4fmtGjRQrpf8jQXzJ5jkjt3lR2fuXNMlX3drfHMM89I969cuWJUZshNeTvkDOWld65Xtj3JQ+7clXb37l3pdFK+vr7Yv3+/dIFxc5g7xyRn7jIyMvCPf/wDTk5O+Pzzz5GTk2Pye9owVmFhofRYyW/5M3eOSe73u4r+XVH61HnMnWOSO3c//vgj7ty5I41vTlhYGNq1awcA2LZtm1EZc2c/XGgiomrn7Nmz0v2GDRtarNe4cWMAQHZ2Nu7evSs9npiYCACYPXs23N3dTW7r168HAFy7dk167MsvvzQ7RlFREUaPHo2NGzdKi0wjR44sc/6tWrWS7p85c8ZiPUNZyQ9vST5y566y7Zk7xyV39lq0aAFnZ+dy51nyj4GSfzwwe45J7txVdnzmzjFV9nWvLENu7t69i3v37pmtU1RUhPPnzwMAWrZsabb9uXPnzJ7jv3TfpduTPOTOXUl3795Fz549kZCQIC0ylff+VNnckjzkzF1aWpp0bZIePXqY/T197do1AMD69eulx06fPi31wdw5Jrnf79q0aWNVPcPfFaUXJJg7xyR37gzj16pVCx4eHuWOb/g7xoC5sx8uNBFRtVPy3OSlv+FSkuEbCwCq5FvKRUVFGDVqFDZt2iQtMr388svltmvSpAmCgoIAAL///rvZOllZWTh06BAA4Pnnn7ffpMlm1SV3tmLuHJfc2XNxcUGPHj0APPzw1BLDf+AVCgWCg4Olx5k9xyR37io7PnPnmB5F7o4cOSLdL31Nkt69e0v3LeXm8OHD0kWeS+fG0D4zMxOxsbFm25fsl7mrHuTOXcn+e/bsabSTyZoPqyqbW5JHdcmdrZg7xyR37rp27YoaNWoAsO7vCnv/niZ5yJ07w/gpKSnIzs4ud3x3d3ejx5k7O3rU5+ojoiebNed3TUpKks69OmDAALN19Hq9aNCggQAg2rRpU6E5WHPdiMLCQjFy5EjpmkwbN26s0Bhz5swRAISrq6tITEw0KV+yZIkAIJydncWFCxcq1DdVnKPkrrLtmbvqx1Gy98MPPwgAQqFQiOPHj5uUZ2ZmCn9/fwFAdOnSxaSc2ateHCF39hifuateHkXuzJ3zv6Tc3FzRuXNnAUDUqFFDpKWlmdTp1q2bACDatm0r8vPzTcr79esnZbf0dU0KCwul43zhhRdM2ubn54s2bdoIAKJbt25lzpXsw1FyV/qaTAkJCeUeW0mVyS3Zn6PkzppjsHSNJiGYu+rGUXI3btw4AUAEBASIrKwsk/Jjx45J18qZNWuWSTlzV704Qu7WrVsnjf/ZZ5+Z7SM+Pl4olUoBQLz99tsm5cydfXChiYiqVGpqqrh37550q1u3rgAgZsyYYfR46Qt0DxgwQPpFER4eLi5fviyKi4tFfn6+OHz4sOjYsaNU/v3331doTuV9+FVYWChefvllaZFp8+bNFT7u9PR06UPZFi1aiLi4OCGEEHl5eWLVqlVCrVYLACIiIqLCfVP5HDF39mjP3MnPUbNXVFQknn76aQFABAcHi71794qioiIhhBBnz54VPXv2FACEk5OT2Ldvn0l7Zk9ejpq7yo7P3MlLjtxFRUWJsLAw8cMPP4jr169Lj+fn54u9e/eKTp06SW2XLFlidt6HDx8Wzs7OAoAYMmSISE5OFkIIcf/+fRERESG137Rpk9n2mzZtkupERESI+/fvCyGESE5Oli4m7ezsLGJjY21+bskyR8zd3bt3RcuWLQUA4e/vL86ePVvh465sbqlyHDF35bFmoYm5k5ej5i45OVnodDoBQISFhUnveUVFRWLPnj0iKChIABC+vr7i7t27Ju2ZO3k5Yu70er2oXbu2ACA0Go1YtGiRSElJkco2bNgglavVanHx4kWTPpg7++BCExFVKcN/YMu7lf4P7r1790SHDh2M6ri6ukrfQDDcZsyYUeE5lffhV3R0tNS/SqUSfn5+Zd4s7XaKi4sTPj4+Ul/u7u5CpVJJPz///PMiNze3wvOn8jli7uzVnrmTlyNn79atW9K3rQ3jG/5INLwffvPNNxbbM3vycdTc2WN85k4+cuTuwIEDRnW0Wq2oWbOm0Wvu5OQk3nvvvTLnvmbNGqPxPD09pW9XA2V/a1cIISIjI6W6CoVCeHp6Sj8rlUqxZs2aij6dZCVHzN38+fOlejVq1Cj3b4tr166Z7aeyuSXbOWLurD2mshaahGDu5OTIuTt48KDR70adTie0Wq30s6+vrzh69KjF9sydfBw1d0ePHhW1atUy6sfd3d0oN66urmLLli0W+2DuKo8LTURUpWz9JSWEEAUFBeLbb78Vffr0EX5+fkKlUgkXFxfRoEEDER4eLg4dOmTTnMr78Kv0L7nybt99953FsW7fvi2mTp0qGjduLFxcXISnp6fo1q2bWLNmjbRbgOzPEXNnz/bMnXwcPXu5ubni008/FZ06dRI6nU6o1WoRHBwsxo0bJ+Lj48ttz+zJw5FzZ4/xmTt5yJG7lJQU8emnn4qhQ4eKJk2aCG9vb6FUKoWHh4do27at+K//+i9x+vRpq+Z//PhxMWrUKFGnTh2hVquFn5+fGDRokNldm+bs27dPDBo0SPj5+Qm1Wi3q1KkjRo0aJe2so6rhiLkruTBpzc3cqUANKptbso0j5s7aYypvoUkI5k4ujp67mzdvimnTpommTZsKV1dX4erqKlq3bi3ee+89szuZSmPu5OHIuUtJSRELFy4UXbp0EV5eXsLZ2Vm4ubmJNm3aiKlTp4q///673D6Yu8pRCCEEiIiIiIiIiIiIiIiIiCrISe4JEBERERERERERERERkWPiQhMRERERERERERERERHZhAtNREREREREREREREREZBMuNBEREREREREREREREZFNuNBERERERERERERERERENuFCExEREREREREREREREdmEC01ERERERERERERERERkEy40ERERERERERERERERkU240EREREREREREREREREQ24UITERERERERERERERER2YQLTURERERERNWcQqGAQqFAVFSU3FOxq6ioKOnYyHHJlc/8/Hw0bNgQGo0G169fr3R/R44cgUKhQI8ePewwOyIiIqInBxeaiIiIiIiIqpDhQ3hbbuvWrZN7+kTV1v/8z//gypUrmDBhAurWrVvp/rp06YI+ffrg0KFD+Pe//22HGRIRERE9GZRyT4CIiIiIiOhx5ufnZ/ZxvV6PrKysMutotVoAQNOmTQEArq6uVTBD+bi6ukrHRlQRqampWLRoETQaDWbPnm23fufNm4ddu3Zh1qxZGDBgAJRKfmxCREREVB7+j4mIiIiIiKgK3b592+zj8+bNw/z588usY3D+/Hm7z6s6ePrppx/bY6Oq9c033yA9PR3Dhg1DYGCg3frt0qUL2rZti7/++gs///wzhg0bZre+iYiIiB5XPHUeERERERERETkMIQS++eYbAEB4eLjd+zf0+fXXX9u9byIiIqLHEReaiIiIiIiIqjnDNZuioqKMHk9KSpLKkpKScPXqVUycOBFBQUFwcXFBw4YNMWfOHOkUfQBw5swZhIeHo27dunBxcUHjxo2xaNEiFBQUlDmHpKQkvPvuu2jZsiXc3Nzg6uqKZs2a4Z133sG1a9dsOq6oqChp/qWtW7cOCoUCwcHBAIDjx49jxIgRqF27NjQaDRo0aIBp06YhLS3NprEB4OjRoxg9ejTq168PFxcX1KhRA/Xq1UNISAgWLlyI5ORks+3y8/OxatUq9OzZEzVr1oRarYa/vz9eeukl7Ny506pxX3/9dTRq1Aiurq7w8PBAixYtMG7cOOzatctsm4yMDCxYsADt27eHh4cHtFotGjdujIiICFy5csXiWCWzk5mZiTlz5qBZs2bQarXw8fFB//79cfTo0TLnm5aWhhkzZqBhw4ZwcXFB7dq1MXz4cBw/frzcY01OTsbUqVPRsmVL1KhRAxqNBgEBAejQoQOmTp2KP//8s9w+Stu7dy8SExPh6emJF154wWK98+fPY9KkSWjSpAlcXV3h4uKCunXrokuXLnjvvfcs7qYbNWoUAGDfvn1lPrdERERE9P8JIiIiIiIieuQiIyMFAGHNn2WGegcOHDB6PDExUSrbtm2b8PT0FACEh4eHcHZ2lsq6d+8u8vPzxf/+7/8KV1dXAUDodDqhUCikOiNHjrQ4/o8//ig0Go1UV6PRCK1WK/3s7u4udu3aVeHn4MCBAxafg++++04AEPXq1RPr168XKpVKmreTk5PUrmXLliIzM7PCY69bt87o+DUajfDw8JB+BiC+++47k3ZJSUmiZcuWUh2FQiF0Op1RuzfffNPsmIWFheLtt982qlujRg3h5eUlzUWn05m0O3PmjAgMDJTauLi4CHd3d6O5b9261eyYhjo//fSTaNSokdTekAMAQq1WW3z9EhMTRb169YzqGp4ntVotfvnlF4v5PHXqlPDy8pLKnZ2djY4VgBg7dmxZL5NZ06ZNEwBEnz59LNbZvXu3UWZVKpX078Nwi4yMtNi+YcOGAoBYtWpVhedHRERE9KThjiYiIiIiIqLHwPjx49GhQwckJCQgIyMDmZmZWLFiBZydnXHo0CEsWLAAo0ePxoABA5CUlIT09HQ8ePAA77//PgBg06ZN2Lt3r0m/e/bswZgxY1BUVISZM2ciMTEROTk5yMrKwvnz5zF8+HBkZmZi+PDhNu9sKsu9e/cwbtw4jB07FteuXUN6ejoyMzOxcuVKqFQqJCQkYOnSpRXqMzs7G2+99RaEEAgPD8fly5eRm5uLjIwM6PV6xMXFYcaMGfD19TVql5WVhb59+yIhIQGhoaGIiopCTk4O0tPTkZ6ejmXLlsHNzQ2rV6/GF198YTLue++9hxUrVgAAxo0bhwsXLkCv1yM1NRVpaWn4+eef0bdvX6M2mZmZGDBgAJKTk1GnTh389ttvyMrKwoMHD3Dq1Cl06dIFeXl5GD16NP766y+LxzxlyhSo1Wrs378fWVlZ0Ov1OHbsGJo2bYr8/HxMmjQJxcXFRm2KioowfPhwXL16FV5eXti8eTOysrKQkZGBhIQEdO7cGWPHjrU45vTp05GWlob27dvjjz/+QEFBAVJTU5Gbm4uLFy/i008/RcuWLct9vUo7ePAggIfX+LIkIiICeXl5eP755xEfH4/8/HykpaUhJycHZ86cwfz586XdcuZ07twZABAdHV3h+RERERE9ceRe6SIiIiIiInoS2XtHU8uWLUVubq5J21dffVWq07t3b1FcXGxSp3v37gKAGD9+vNHjRUVFonHjxgKA+Prrry3Ob+DAgQKAeOedd8o9lpKs2dGEMna9GHa2NGrUqELjHj16VNpNVFBQYHW7BQsWCAAiJCRE5Ofnm62zfft2AUDUrFnTqO8LFy5IO7Fmzpxp9Zgff/yxtCMnPj7epPzBgwciODhYABAvvviiSbnhOaxVq5a4c+eOSfnp06elOjExMUZlmzZtksr27t1r0jYrK0va+WMun4Zdb7GxsVYfb3ny8vKk3XqWdnHduXNHmtPNmzdtGueTTz4RAERQUFBlpktERET0ROCOJiIiIiIiosfA1KlTodFoTB7v06ePdH/WrFlmr4dkqHP69Gmjxw8ePIhLly6hZs2amDBhgsWxx4wZAwAWry9UWXPmzDH7+EsvvQQAuHz5MrKzs63uz9PTE8DDay3dv3/f6nZr164FAEybNg0qlcpsnUGDBsHDwwMpKSlG1zD6/vvvUVxcDB8fH8yfP9/qMTdt2gQAGDZsGFq1amVS7u7ujpkzZwIAdu7ciYyMDLP9TJo0yWSHFgC0bt0a9evXB2D6+m/cuBEA0LVrV4SFhZm0dXV1lcY2x/A837p1y2Kdirp79y6KiooAALVq1TJbx93dHU5OTpUau2bNmpVqT0RERPQk4UITERERERHRY8DSacT8/Pyk+506dSqzTlpamtHjhw8fBgBkZGQgICAA/v7+Zm8TJ04EAFy9erXSx1Gat7c3GjVqZLYsICBAul967mVp2LAhmjVrhoKCAnTu3BlLlizBqVOnpAUMc27cuCEd3/jx4y0+F7Vr14Zerwdg/HzExsYCAHr37g0XFxer5pmfny8t/vTq1ctivd69ewMAiouLceLECbN1DKeCM8fwPKampho9HhcXBwB47rnnLLYtq6x///4AgLFjx2L69OmIjo6u0IKgOffu3ZPue3t7m62j1WqlhbG+ffvigw8+wNGjR5Gfn2/1OIa+CwoKkJ6ebvuEiYiIiJ4AXGgiIiIiIiJ6DLi7u5t9XKlUWl2noKDA6PGbN29Kj9+5c8fizbDIk5OTU+njKM3SnEvO29zcy+Ls7IyNGzeifv36uHr1KmbNmoV27drBw8MDvXv3xldffWWyIGJ4LgAgJSWlzOfDcK2jkn3cvn0bAFCvXj2r55mamiotftWpU8divcDAQOn+3bt3zdax5nks/Rwa+rJ27NKWLl2Knj17Qq/XY9myZQgNDYWHhwc6duyIyMhI3Lhxw2JbS3Jzc6X75nbwGXz77bdo27Yt7t27h4ULF6JLly5wd3dHt27d8Mknn5gsqpWm1WrNjklEREREprjQRERERERERGYZFjk6d+4MIYRVN0fRtm1bnD9/Htu2bcOkSZPQqlUr5OTkYO/evZg8eTKaNWuG+Ph4qX7J3U7nzp2z6rl47bXXpDbmTln4uPP09MT+/ftx6NAhzJw5E127doVSqcTx48exYMECNG7cGBs2bKhQnz4+PtL9snaxBQUF4cSJE/j999/x9ttvo0OHDiguLsbhw4cxc+ZMNGrUCPv377fYvuRCVMkxiYiIiMgUF5qIiIiIiIjILH9/fwBVc0q86kCtVmPIkCH4+uuvER8fj3v37mH16tXw9vbG9evXMXbsWKmu4bkAbHs+bHkuvb294ezsDABITk62WK9kmbnrMNnK0FdZO4+s2ZXUrVs3LFmyBDExMUhPT8cvv/yC1q1bIycnB+PGjcOdO3esnlPJ6zKVtyvJyckJffr0wRdffIG4uDikpqZi/fr1CAoKQlpaGkaNGmXxdHqGvnU6ncXrcRERERHRQ1xoIiIiIiIiIrO6du0K4OFp3wzX63mc+fj44I033sCSJUsAACdPnsT9+/cBAMHBwdIp5H799dcK9/3ss88CAPbs2WP1qdjUajXatGkDANi3b5/Fenv37gXwcGGlffv2FZ6bJR07dgQAHDhwwGKdsnYFmePi4oKBAwdi+/btAB6eli4mJsbq9l5eXtKi3ZUrVyo0tru7O0aNGoW1a9cCAO7cuWO0a62kxMREAEDz5s0rNAYRERHRk4gLTURERERERGRWz5490ahRIwDA1KlTLe7+MChvh0l1kZeXV2Z5yevzODn935/NEydOBACsXbsWJ0+eLLOP0s/Fa6+9BmdnZ9y/fx+RkZFWz/Xll18GAGzduhVnzpwxKdfr9Vi6dCkA4IUXXoBOp7O67/KMHDkSABATE4OoqCiT8pycHHzyySdm2xYWFkrXqjLH0nNsjR49egAAjh07Zra8vJxaM/bRo0cBACEhIRWaGxEREdGTiAtNREREREREZJZSqcTq1auhVCoRExODHj16YN++fSgoKJDqXLlyBatXr0anTp2watUqGWdrvY0bN6Jr1674+uuvjXbFFBUVYdeuXZg1axYA4JlnnoGXl5dUPn36dLRu3Rq5ubno2bMnVq5cKe14AoD09HTs3LkTY8aMQffu3Y3GbNSoEWbMmAEAWLp0KSZMmIBLly5J5Q8ePMCmTZswePBgo3YRERGoX78+CgoK0K9fP+zcuVNawImPj0efPn2QmJgIjUaDRYsW2ekZemjo0KHSDqmhQ4di27Zt0rWqzp07h379+uHevXtm2yYnJ6Nx48ZYtGgRTp48icLCQqns9OnTCA8PBwDUqFGjwos5oaGhAP5vMai02NhYtGnTBsuXL8e5c+ek50sIgdjYWERERAAAAgMDpR1jJRUVFeH48eMAuNBEREREZA2l3BMgIiIiIiKi6issLAxbtmzBmDFjcPToUfTq1QsqlQoeHh7Q6/VGu4MGDRok30QrwLDgEBsbCwDQaDRwc3NDWlqatCgREBCAf/7zn0bt3Nzc8Pvvv2Po0KE4cuQI3nrrLbz99tvQ6XQoLi7GgwcPpLqGnWAlLVq0CJmZmfjyyy+xdu1arF27Fm5ublCpVEhPT4cQwmRHkru7O3bs2IG+ffsiOTkZL7zwAlxcXKBWq6XxNBoNfvzxR7Rt29auz5NSqcSWLVsQGhqK69evY9iwYdBoNHBxcUFGRgbUajW2bNmCl156yWz7K1euYO7cuZg7dy6cnZ2h0+mg1+ulHUdqtRrr1q2Dt7d3heY1dOhQvPPOOzh//jwuXbqExo0bm9SJj4/HtGnTMG3aNCmvGRkZ0oKXh4cHfvrpJ+kaWCXt27cPWVlZ8PX1Ra9evSo0NyIiIqInEXc0ERERERERUZkGDRqEy5cvIzIyEk8//TTc3NyQnp4OjUaDtm3bYsKECfj3v/8t7dip7gYOHIgffvgBr7/+Otq2bQudToeMjAy4u7vj6aefxsKFC5GQkIBmzZqZtA0ICEBMTAw2bNiAgQMHonbt2sjOzkZ+fj6Cg4MxYMAAfP755zh48KBJW2dnZ6xcuRIxMTEYPXo0goKCUFBQACEEWrRogfHjx2Pbtm0m7Vq1aoWEhATMmzcPTz31FJRKJfLy8tCwYUO8+eabSEhIwLBhw6rkuWrQoAFOnTqFadOmoX79+hBCwMXFBcOGDUNsbCwGDhxotl2dOnWwY8cOTJ06FV26dEHt2rWh1+uhVCrRokULTJkyBWfOnLFp3r6+vtLOr/Xr15uUd+rUCZs3b0ZERAQ6dOiAmjVr4sGDB3BxccFTTz2FmTNn4ty5cya7zgwMfb7++utQqVQVnh8RERHRk0YhhBByT4KIiIiIiIiIyFoHDx5ESEgIGjZsiEuXLkGhUNil36ysLGnx8OLFi2jQoIFd+iUiIiJ6nHFHExERERERERE5lB49euD555/H33//jS1bttit35UrVyIzMxMTJkzgIhMRERGRlbijiYiIiIiIiIgcTnx8PJ566ik0b94cp0+fhpNT5b5Lq9frUb9+feTm5uLy5cvw8/Oz00yJiIiIHm9KuSdARERERERERFRRrVu3xtq1a5GUlIRbt26hTp06leovKSkJU6ZMQbt27bjIRERERFQB3NFERERERERERERERERENuE1moiIiIiIiIiIiIiIiMgmXGgiIiIiIiIiIiIiIiIim3ChiYiIiIiIiIiIiIiIiGzChSYiIiIiIiIiIiIiIiKyCReaiIiIiIiIiIiIiIiIyCZcaCIiIiIiIiIiIiIiIiKbcKGJiIiIiIiIiIiIiIiIbMKFJiIiIiIiIiIiIiIiIrIJF5qIiIiIiIiIiIiIiIjIJv8Pjm7X8BIZmQ4AAAAASUVORK5CYII=",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1800x300 with 1 Axes>"
       ]
@@ -1191,6 +1196,7 @@
   },
   {
    "cell_type": "code",
+   "execution_count": 12,
    "id": "ca66b7b5-c6ac-405f-8297-8aeb6cc4d92e",
    "metadata": {
     "ExecuteTime": {
@@ -1198,12 +1204,14 @@
      "start_time": "2024-08-28T11:41:33.947843Z"
     }
    },
-   "source": "trials = nwbfile.trials",
    "outputs": [],
-   "execution_count": 2
+   "source": [
+    "trials = nwbfile.trials"
+   ]
   },
   {
    "cell_type": "code",
+   "execution_count": 13,
    "id": "cc9adeaf-ae23-403f-ad66-5a6ed695760f",
    "metadata": {
     "ExecuteTime": {
@@ -1211,79 +1219,9 @@
      "start_time": "2024-08-28T11:41:35.192278Z"
     }
    },
-   "source": [
-    "trials[:].head()"
-   ],
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "    start_time   stop_time                    states  \\\n",
-       "id                                                     \n",
-       "0   17950.0907  18395.7043        [0, 1, 2, 3, 4, 5]   \n",
-       "1   18395.7043  18402.2559      [6, 7, 8, 9, 10, 11]   \n",
-       "2   18402.2559  18410.3677  [12, 13, 14, 15, 16, 17]   \n",
-       "3   18410.3677  18421.6165  [18, 19, 20, 21, 22, 23]   \n",
-       "4   18421.6165  18429.0515  [24, 25, 26, 27, 28, 29]   \n",
-       "\n",
-       "                                               events  \\\n",
-       "id                                                      \n",
-       "0   [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...   \n",
-       "1   [31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 4...   \n",
-       "2   [52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 6...   \n",
-       "3   [73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 8...   \n",
-       "4   [132, 133, 134, 135, 136, 137, 138, 139, 140, ...   \n",
-       "\n",
-       "                             actions  reward_volume_ul  \\\n",
-       "id                                                       \n",
-       "0              [0, 1, 2, 3, 4, 5, 6]                20   \n",
-       "1      [7, 8, 9, 10, 11, 12, 13, 14]                80   \n",
-       "2       [15, 16, 17, 18, 19, 20, 21]                40   \n",
-       "3       [22, 23, 24, 25, 26, 27, 28]                20   \n",
-       "4   [29, 30, 31, 32, 33, 34, 35, 36]                80   \n",
-       "\n",
-       "    previous_was_violation  is_warm_up  catch_percentage  changed  ...  \\\n",
-       "id                                                                 ...   \n",
-       "0                    False       False              0.15    False  ...   \n",
-       "1                    False       False              0.15    False  ...   \n",
-       "2                    False       False              0.15    False  ...   \n",
-       "3                    False       False              0.15    False  ...   \n",
-       "4                    False       False              0.15    False  ...   \n",
-       "\n",
-       "    auto_change_catch_probability  nose_in_center  block_type  \\\n",
-       "id                                                              \n",
-       "0                           False        0.869210        High   \n",
-       "1                           False        0.979292        High   \n",
-       "2                           False        0.835958        High   \n",
-       "3                           False        0.846073        High   \n",
-       "4                           False        0.838370        High   \n",
-       "\n",
-       "    target_delay_to_reward  trials_in_stage  is_catch delay_to_reward  \\\n",
-       "id                                                                      \n",
-       "0                      1.5            23023     False        4.135600   \n",
-       "1                      1.5            23025     False        1.264520   \n",
-       "2                      1.5            23026     False        0.619385   \n",
-       "3                      1.5            23027     False        5.369254   \n",
-       "4                      1.5            23028     False        1.220980   \n",
-       "\n",
-       "    target_duration_for_nose_in_center  violation_time_out  \\\n",
-       "id                                                           \n",
-       "0                                    1                   2   \n",
-       "1                                    1                   2   \n",
-       "2                                    1                   2   \n",
-       "3                                    1                   2   \n",
-       "4                                    1                   2   \n",
-       "\n",
-       "    time_increment_for_nose_in_center  \n",
-       "id                                     \n",
-       "0                                   0  \n",
-       "1                                   0  \n",
-       "2                                   0  \n",
-       "3                                   0  \n",
-       "4                                   0  \n",
-       "\n",
-       "[5 rows x 24 columns]"
-      ],
       "text/html": [
        "<div>\n",
        "<style scoped>\n",
@@ -1308,22 +1246,22 @@
        "      <th>states</th>\n",
        "      <th>events</th>\n",
        "      <th>actions</th>\n",
-       "      <th>reward_volume_ul</th>\n",
-       "      <th>previous_was_violation</th>\n",
        "      <th>is_warm_up</th>\n",
-       "      <th>catch_percentage</th>\n",
-       "      <th>changed</th>\n",
-       "      <th>...</th>\n",
-       "      <th>auto_change_catch_probability</th>\n",
        "      <th>nose_in_center</th>\n",
+       "      <th>target_reward_delay</th>\n",
        "      <th>block_type</th>\n",
-       "      <th>target_delay_to_reward</th>\n",
-       "      <th>trials_in_stage</th>\n",
-       "      <th>is_catch</th>\n",
-       "      <th>delay_to_reward</th>\n",
-       "      <th>target_duration_for_nose_in_center</th>\n",
-       "      <th>violation_time_out</th>\n",
-       "      <th>time_increment_for_nose_in_center</th>\n",
+       "      <th>reward_delay</th>\n",
+       "      <th>...</th>\n",
+       "      <th>is_rewarded</th>\n",
+       "      <th>is_violation</th>\n",
+       "      <th>is_opt_out</th>\n",
+       "      <th>wait_time</th>\n",
+       "      <th>wait_time_unthresholded</th>\n",
+       "      <th>wait_time_threshold</th>\n",
+       "      <th>wait_for_center_poke</th>\n",
+       "      <th>z_scored_wait_for_center_poke</th>\n",
+       "      <th>rewarded_port</th>\n",
+       "      <th>inter_trial_interval</th>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>id</th>\n",
@@ -1353,146 +1291,207 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>0</th>\n",
-       "      <td>17950.0907</td>\n",
-       "      <td>18395.7043</td>\n",
-       "      <td>[0, 1, 2, 3, 4, 5]</td>\n",
-       "      <td>[0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13,...</td>\n",
-       "      <td>[0, 1, 2, 3, 4, 5, 6]</td>\n",
-       "      <td>20</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.15</td>\n",
+       "      <td>16.2116</td>\n",
+       "      <td>44.1310</td>\n",
+       "      <td>[0, 1, 2]</td>\n",
+       "      <td>[0, 1, 2, 3, 4]</td>\n",
+       "      <td>[0, 1, 2, 3, 4]</td>\n",
        "      <td>False</td>\n",
+       "      <td>0.948330</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>Mixed</td>\n",
+       "      <td>0.606090</td>\n",
        "      <td>...</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.869210</td>\n",
-       "      <td>High</td>\n",
-       "      <td>1.5</td>\n",
-       "      <td>23023</td>\n",
+       "      <td>True</td>\n",
        "      <td>False</td>\n",
-       "      <td>4.135600</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>15271.6804</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Right</td>\n",
+       "      <td>26.7877</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1</th>\n",
-       "      <td>18395.7043</td>\n",
-       "      <td>18402.2559</td>\n",
-       "      <td>[6, 7, 8, 9, 10, 11]</td>\n",
-       "      <td>[31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 4...</td>\n",
-       "      <td>[7, 8, 9, 10, 11, 12, 13, 14]</td>\n",
-       "      <td>80</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.15</td>\n",
+       "      <td>44.1310</td>\n",
+       "      <td>75.1291</td>\n",
+       "      <td>[3, 4, 5]</td>\n",
+       "      <td>[5, 6, 7, 8, 9, 10, 11]</td>\n",
+       "      <td>[5, 6, 7, 8, 9, 10]</td>\n",
        "      <td>False</td>\n",
+       "      <td>1.149690</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>Mixed</td>\n",
+       "      <td>100.000000</td>\n",
        "      <td>...</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.979292</td>\n",
-       "      <td>High</td>\n",
-       "      <td>1.5</td>\n",
-       "      <td>23025</td>\n",
+       "      <td>True</td>\n",
        "      <td>False</td>\n",
-       "      <td>1.264520</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>15271.6804</td>\n",
+       "      <td>28.7726</td>\n",
+       "      <td>1.511654</td>\n",
+       "      <td>Right</td>\n",
+       "      <td>28.7726</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2</th>\n",
-       "      <td>18402.2559</td>\n",
-       "      <td>18410.3677</td>\n",
-       "      <td>[12, 13, 14, 15, 16, 17]</td>\n",
-       "      <td>[52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 6...</td>\n",
-       "      <td>[15, 16, 17, 18, 19, 20, 21]</td>\n",
-       "      <td>40</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.15</td>\n",
+       "      <td>75.1291</td>\n",
+       "      <td>77.0541</td>\n",
+       "      <td>[6, 7, 8, 9, 10, 11, 12]</td>\n",
+       "      <td>[12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22]</td>\n",
+       "      <td>[11, 12, 13, 14, 15, 16, 17]</td>\n",
        "      <td>False</td>\n",
+       "      <td>0.819198</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>Mixed</td>\n",
+       "      <td>0.551172</td>\n",
        "      <td>...</td>\n",
+       "      <td>True</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.835958</td>\n",
-       "      <td>High</td>\n",
-       "      <td>1.5</td>\n",
-       "      <td>23026</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.619385</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
+       "      <td>0.5512</td>\n",
+       "      <td>0.5512</td>\n",
+       "      <td>15271.6804</td>\n",
+       "      <td>0.2159</td>\n",
+       "      <td>-0.235383</td>\n",
+       "      <td>Left</td>\n",
+       "      <td>0.2159</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>3</th>\n",
-       "      <td>18410.3677</td>\n",
-       "      <td>18421.6165</td>\n",
-       "      <td>[18, 19, 20, 21, 22, 23]</td>\n",
-       "      <td>[73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 8...</td>\n",
-       "      <td>[22, 23, 24, 25, 26, 27, 28]</td>\n",
-       "      <td>20</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.15</td>\n",
+       "      <td>77.0541</td>\n",
+       "      <td>81.9992</td>\n",
+       "      <td>[13, 14, 15]</td>\n",
+       "      <td>[23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 3...</td>\n",
+       "      <td>[18, 19, 20, 21, 22]</td>\n",
        "      <td>False</td>\n",
+       "      <td>1.184697</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>Mixed</td>\n",
+       "      <td>100.000000</td>\n",
        "      <td>...</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.846073</td>\n",
-       "      <td>High</td>\n",
-       "      <td>1.5</td>\n",
-       "      <td>23027</td>\n",
+       "      <td>True</td>\n",
        "      <td>False</td>\n",
-       "      <td>5.369254</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>15271.6804</td>\n",
+       "      <td>3.6389</td>\n",
+       "      <td>-0.025972</td>\n",
+       "      <td>Left</td>\n",
+       "      <td>1.3749</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>4</th>\n",
-       "      <td>18421.6165</td>\n",
-       "      <td>18429.0515</td>\n",
-       "      <td>[24, 25, 26, 27, 28, 29]</td>\n",
-       "      <td>[132, 133, 134, 135, 136, 137, 138, 139, 140, ...</td>\n",
-       "      <td>[29, 30, 31, 32, 33, 34, 35, 36]</td>\n",
-       "      <td>80</td>\n",
-       "      <td>False</td>\n",
-       "      <td>False</td>\n",
-       "      <td>0.15</td>\n",
+       "      <td>81.9992</td>\n",
+       "      <td>83.2778</td>\n",
+       "      <td>[16, 17, 18]</td>\n",
+       "      <td>[48, 49, 50]</td>\n",
+       "      <td>[23, 24, 25, 26, 27]</td>\n",
        "      <td>False</td>\n",
+       "      <td>0.946593</td>\n",
+       "      <td>1.5</td>\n",
+       "      <td>Mixed</td>\n",
+       "      <td>100.000000</td>\n",
        "      <td>...</td>\n",
        "      <td>False</td>\n",
-       "      <td>0.838370</td>\n",
-       "      <td>High</td>\n",
-       "      <td>1.5</td>\n",
-       "      <td>23028</td>\n",
+       "      <td>True</td>\n",
        "      <td>False</td>\n",
-       "      <td>1.220980</td>\n",
-       "      <td>1</td>\n",
-       "      <td>2</td>\n",
-       "      <td>0</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>15271.6804</td>\n",
+       "      <td>0.1183</td>\n",
+       "      <td>-0.241354</td>\n",
+       "      <td>Right</td>\n",
+       "      <td>0.1183</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
-       "<p>5 rows × 24 columns</p>\n",
+       "<p>5 rows × 38 columns</p>\n",
        "</div>"
+      ],
+      "text/plain": [
+       "    start_time  stop_time                    states  \\\n",
+       "id                                                    \n",
+       "0      16.2116    44.1310                 [0, 1, 2]   \n",
+       "1      44.1310    75.1291                 [3, 4, 5]   \n",
+       "2      75.1291    77.0541  [6, 7, 8, 9, 10, 11, 12]   \n",
+       "3      77.0541    81.9992              [13, 14, 15]   \n",
+       "4      81.9992    83.2778              [16, 17, 18]   \n",
+       "\n",
+       "                                               events  \\\n",
+       "id                                                      \n",
+       "0                                     [0, 1, 2, 3, 4]   \n",
+       "1                             [5, 6, 7, 8, 9, 10, 11]   \n",
+       "2        [12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22]   \n",
+       "3   [23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 3...   \n",
+       "4                                        [48, 49, 50]   \n",
+       "\n",
+       "                         actions  is_warm_up  nose_in_center  \\\n",
+       "id                                                             \n",
+       "0                [0, 1, 2, 3, 4]       False        0.948330   \n",
+       "1            [5, 6, 7, 8, 9, 10]       False        1.149690   \n",
+       "2   [11, 12, 13, 14, 15, 16, 17]       False        0.819198   \n",
+       "3           [18, 19, 20, 21, 22]       False        1.184697   \n",
+       "4           [23, 24, 25, 26, 27]       False        0.946593   \n",
+       "\n",
+       "    target_reward_delay block_type  reward_delay  ...  is_rewarded  \\\n",
+       "id                                                ...                \n",
+       "0                   1.5      Mixed      0.606090  ...        False   \n",
+       "1                   1.5      Mixed    100.000000  ...        False   \n",
+       "2                   1.5      Mixed      0.551172  ...         True   \n",
+       "3                   1.5      Mixed    100.000000  ...        False   \n",
+       "4                   1.5      Mixed    100.000000  ...        False   \n",
+       "\n",
+       "    is_violation  is_opt_out  wait_time  wait_time_unthresholded  \\\n",
+       "id                                                                 \n",
+       "0           True       False        NaN                      NaN   \n",
+       "1           True       False        NaN                      NaN   \n",
+       "2          False       False     0.5512                   0.5512   \n",
+       "3           True       False        NaN                      NaN   \n",
+       "4           True       False        NaN                      NaN   \n",
+       "\n",
+       "    wait_time_threshold  wait_for_center_poke  z_scored_wait_for_center_poke  \\\n",
+       "id                                                                             \n",
+       "0            15271.6804                   NaN                            NaN   \n",
+       "1            15271.6804               28.7726                       1.511654   \n",
+       "2            15271.6804                0.2159                      -0.235383   \n",
+       "3            15271.6804                3.6389                      -0.025972   \n",
+       "4            15271.6804                0.1183                      -0.241354   \n",
+       "\n",
+       "    rewarded_port  inter_trial_interval  \n",
+       "id                                       \n",
+       "0           Right               26.7877  \n",
+       "1           Right               28.7726  \n",
+       "2            Left                0.2159  \n",
+       "3            Left                1.3749  \n",
+       "4           Right                0.1183  \n",
+       "\n",
+       "[5 rows x 38 columns]"
       ]
      },
-     "execution_count": 3,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
    ],
-   "execution_count": 3
+   "source": [
+    "trials[:].head()"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": 109,
+   "execution_count": 14,
    "id": "1b7a20f0-94c2-46ac-8619-f2a606cafae0",
    "metadata": {},
    "outputs": [
     {
      "data": {
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       "text/plain": [
        "<Figure size 1800x1000 with 1 Axes>"
       ]
@@ -1502,9 +1501,9 @@
     }
    ],
    "source": [
-    "# Plot trial 46 - 50\n",
+    "# Plot trial 2 - 5\n",
     "plot_trials(\n",
-    "    trials=trials[46:51],\n",
+    "    trials=trials[2:6],\n",
     "    states=states, state_types=state_types,\n",
     "    actions=actions, action_types=action_types,\n",
     "    events=events, event_types=event_types,\n",