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   "source": [
    "# Listening Analysis\n",
    "\n",
    "Combining Spotify & Last.fm data for exploring habits and trends\n",
    "Uses two data sources,\n",
    "\n",
    "1. Last.fm scrobbles\n",
    "2. Spotify audio features\n",
    "\n",
    "The two are joined by searching Last.fm tracks on Spotify to get a Uri, the track name and artist name are provided for the query.\n",
    "These Uris can be used to retrieve Spotify feature descriptors. `all_joined()` gets a BigQuery of that joins the scrobble time series with their audio features and provides this as a panda frame.\n",
    "\n",
    "Explorations are made from [album](./album.ipynb), [artist](./artist.ipynb) and [playlist](./playlist.ipynb) perspectives. "
   ],
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      "text/plain": [
       "track                object\n",
       "album                object\n",
       "artist               object\n",
       "uri                  object\n",
       "acousticness        float64\n",
       "danceability        float64\n",
       "duration_ms           int64\n",
       "energy              float64\n",
       "instrumentalness    float64\n",
       "key                   int64\n",
       "liveness            float64\n",
       "loudness            float64\n",
       "mode                  int64\n",
       "speechiness         float64\n",
       "tempo               float64\n",
       "time_signature        int64\n",
       "valence             float64\n",
       "dtype: object"
      ]
     },
     "metadata": {},
     "execution_count": 3
    }
   ],
   "source": [
    "scrobbles.dtypes"
   ]
  },
  {
   "source": [
    "# Spotify Descriptor\n",
    "\n",
    "The Spotify API provides access to various characteristics about a track, they are used here for exploring listening habits. The descriptions from the [Spotify API Documentation](https://developer.spotify.com/documentation/web-api/reference/#object-audiofeaturesobject) can be seen below:\n",
    "\n",
    "### acousticness\n",
    "A confidence measure from 0.0 to 1.0 of whether the track is acoustic. 1.0 represents high confidence the track is acoustic.\n",
    "\n",
    "### danceability\n",
    "Danceability describes how suitable a track is for dancing based on a combination of musical elements including tempo, rhythm stability, beat strength, and overall regularity. A value of 0.0 is least danceable and 1.0 is most danceable.\n",
    "\n",
    "### energy\n",
    "Energy is a measure from 0.0 to 1.0 and represents a perceptual measure of intensity and activity. Typically, energetic tracks feel fast, loud, and noisy. For example, death metal has high energy, while a Bach prelude scores low on the scale. Perceptual features contributing to this attribute include dynamic range, perceived loudness, timbre, onset rate, and general entropy.\n",
    "\n",
    "### instrumentalness\n",
    "Predicts whether a track contains no vocals. “Ooh” and “aah” sounds are treated as instrumental in this context. Rap or spoken word tracks are clearly “vocal”. The closer the instrumentalness value is to 1.0, the greater likelihood the track contains no vocal content. Values above 0.5 are intended to represent instrumental tracks, but confidence is higher as the value approaches 1.0.\n",
    "\n",
    "### key\n",
    "The key the track is in. Integers map to pitches using standard Pitch Class notation . E.g. 0 = C, 1 = C♯/D♭, 2 = D, and so on.\n",
    "\n",
    "### liveness\n",
    "Detects the presence of an audience in the recording. Higher liveness values represent an increased probability that the track was performed live. A value above 0.8 provides strong likelihood that the track is live. \tFloat\n",
    "\n",
    "### loudness\n",
    "The overall loudness of a track in decibels (dB). Loudness values are averaged across the entire track and are useful for comparing relative loudness of tracks. Loudness is the quality of a sound that is the primary psychological correlate of physical strength (amplitude). Values typical range between -60 and 0 db.\n",
    "\n",
    "### mode\n",
    "Mode indicates the modality (major or minor) of a track, the type of scale from which its melodic content is derived. Major is represented by 1 and minor is 0.\n",
    "\n",
    "### speechiness\n",
    "Speechiness detects the presence of spoken words in a track. The more exclusively speech-like the recording (e.g. talk show, audio book, poetry), the closer to 1.0 the attribute value. Values above 0.66 describe tracks that are probably made entirely of spoken words. Values between 0.33 and 0.66 describe tracks that may contain both music and speech, either in sections or layered, including such cases as rap music. Values below 0.33 most likely represent music and other non-speech-like tracks.\n",
    "\n",
    "### tempo\n",
    "The overall estimated tempo of a track in beats per minute (BPM). In musical terminology, tempo is the speed or pace of a given piece and derives directly from the average beat duration.\n",
    "\n",
    "### time_signature\n",
    "An estimated overall time signature of a track. The time signature (meter) is a notational convention to specify how many beats are in each bar (or measure).\n",
    "\n",
    "### valence\n",
    "A measure from 0.0 to 1.0 describing the musical positiveness conveyed by a track. Tracks with high valence sound more positive (e.g. happy, cheerful, euphoric), while tracks with low valence sound more negative (e.g. sad, depressed, angry)."
   ],
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     "data": {
      "text/plain": [
       "      acousticness  danceability   duration_ms    energy  instrumentalness  \\\n",
       "mean      0.170649      0.589141  2.422924e+05  0.711968          0.213591   \n",
       "std       0.246679      0.173905  1.220714e+05  0.204289          0.335353   \n",
       "min       0.000000      0.000000  1.578700e+04  0.000000          0.000000   \n",
       "25%       0.004320      0.470000  1.893220e+05  0.586000          0.000000   \n",
       "50%       0.045500      0.599000  2.264410e+05  0.749000          0.001100   \n",
       "75%       0.237000      0.724000  2.787440e+05  0.878000          0.394000   \n",
       "max       0.996000      0.981000  4.995315e+06  0.999000          0.995000   \n",
       "\n",
       "            key  liveness   loudness      mode  speechiness       tempo  \\\n",
       "mean   5.328584  0.216903  -7.127309  0.581856     0.146982  124.640429   \n",
       "std    3.673929  0.173524   3.646891  0.493257     0.136440   30.809049   \n",
       "min    0.000000  0.000000 -60.000000  0.000000     0.000000    0.000000   \n",
       "25%    2.000000  0.099900  -8.590000  0.000000     0.047500   97.805000   \n",
       "50%    6.000000  0.141000  -6.472000  1.000000     0.080800  124.992000   \n",
       "75%    9.000000  0.300000  -4.827000  1.000000     0.223000  143.188000   \n",
       "max   11.000000  0.995000   3.108000  1.000000     0.966000  248.028000   \n",
       "\n",
       "      time_signature   valence  \n",
       "mean        3.957806  0.418024  \n",
       "std         0.356726  0.236941  \n",
       "min         0.000000  0.000000  \n",
       "25%         4.000000  0.221000  \n",
       "50%         4.000000  0.398000  \n",
       "75%         4.000000  0.597000  \n",
       "max         5.000000  0.983000  "
      ],
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>acousticness</th>\n      <th>danceability</th>\n      <th>duration_ms</th>\n      <th>energy</th>\n      <th>instrumentalness</th>\n      <th>key</th>\n      <th>liveness</th>\n      <th>loudness</th>\n      <th>mode</th>\n      <th>speechiness</th>\n      <th>tempo</th>\n      <th>time_signature</th>\n      <th>valence</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>mean</th>\n      <td>0.170649</td>\n      <td>0.589141</td>\n      <td>2.422924e+05</td>\n      <td>0.711968</td>\n      <td>0.213591</td>\n      <td>5.328584</td>\n      <td>0.216903</td>\n      <td>-7.127309</td>\n      <td>0.581856</td>\n      <td>0.146982</td>\n      <td>124.640429</td>\n      <td>3.957806</td>\n      <td>0.418024</td>\n    </tr>\n    <tr>\n      <th>std</th>\n      <td>0.246679</td>\n      <td>0.173905</td>\n      <td>1.220714e+05</td>\n      <td>0.204289</td>\n      <td>0.335353</td>\n      <td>3.673929</td>\n      <td>0.173524</td>\n      <td>3.646891</td>\n      <td>0.493257</td>\n      <td>0.136440</td>\n      <td>30.809049</td>\n      <td>0.356726</td>\n      <td>0.236941</td>\n    </tr>\n    <tr>\n      <th>min</th>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>1.578700e+04</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>-60.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n      <td>0.000000</td>\n    </tr>\n    <tr>\n      <th>25%</th>\n      <td>0.004320</td>\n      <td>0.470000</td>\n      <td>1.893220e+05</td>\n      <td>0.586000</td>\n      <td>0.000000</td>\n      <td>2.000000</td>\n      <td>0.099900</td>\n      <td>-8.590000</td>\n      <td>0.000000</td>\n      <td>0.047500</td>\n      <td>97.805000</td>\n      <td>4.000000</td>\n      <td>0.221000</td>\n    </tr>\n    <tr>\n      <th>50%</th>\n      <td>0.045500</td>\n      <td>0.599000</td>\n      <td>2.264410e+05</td>\n      <td>0.749000</td>\n      <td>0.001100</td>\n      <td>6.000000</td>\n      <td>0.141000</td>\n      <td>-6.472000</td>\n      <td>1.000000</td>\n      <td>0.080800</td>\n      <td>124.992000</td>\n      <td>4.000000</td>\n      <td>0.398000</td>\n    </tr>\n    <tr>\n      <th>75%</th>\n      <td>0.237000</td>\n      <td>0.724000</td>\n      <td>2.787440e+05</td>\n      <td>0.878000</td>\n      <td>0.394000</td>\n      <td>9.000000</td>\n      <td>0.300000</td>\n      <td>-4.827000</td>\n      <td>1.000000</td>\n      <td>0.223000</td>\n      <td>143.188000</td>\n      <td>4.000000</td>\n      <td>0.597000</td>\n    </tr>\n    <tr>\n      <th>max</th>\n      <td>0.996000</td>\n      <td>0.981000</td>\n      <td>4.995315e+06</td>\n      <td>0.999000</td>\n      <td>0.995000</td>\n      <td>11.000000</td>\n      <td>0.995000</td>\n      <td>3.108000</td>\n      <td>1.000000</td>\n      <td>0.966000</td>\n      <td>248.028000</td>\n      <td>5.000000</td>\n      <td>0.983000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "metadata": {},
     "execution_count": 4
    }
   ],
   "source": [
    "scrobbles.describe()[1:]"
   ]
  },
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      "text/plain": [
       "                                                        track  \\\n",
       "time                                                            \n",
       "2020-12-31 18:35:28+00:00       Blackbird - Gorgon City Remix   \n",
       "2020-12-31 18:28:13+00:00   Lanterns - Dead Man's Chest Remix   \n",
       "2020-12-31 18:22:07+00:00             ID Check - Original Mix   \n",
       "2020-12-31 17:52:23+00:00                           Up & Down   \n",
       "2020-12-31 17:00:28+00:00                              Cuatro   \n",
       "...                                                       ...   \n",
       "2017-11-03 03:35:27+00:00                               Julia   \n",
       "2017-11-03 03:28:51+00:00               Site Zero / The Vault   \n",
       "2017-11-03 02:54:37+00:00  Reminder (feat. How To Dress Well)   \n",
       "2017-11-03 02:50:23+00:00                             Monsoon   \n",
       "2017-11-03 02:43:01+00:00                  Let Go (interlude)   \n",
       "\n",
       "                                                                  album  \\\n",
       "time                                                                      \n",
       "2020-12-31 18:35:28+00:00                                  Blackbird EP   \n",
       "2020-12-31 18:28:13+00:00  Lanterns / Lanterns (Dead Man's Chest Remix)   \n",
       "2020-12-31 18:22:07+00:00                           Toolroom Ibiza 2019   \n",
       "2020-12-31 17:52:23+00:00                                    Emotion EP   \n",
       "2020-12-31 17:00:28+00:00                                   Tomahawk EP   \n",
       "...                                                                 ...   \n",
       "2017-11-03 03:35:27+00:00                                          Void   \n",
       "2017-11-03 03:28:51+00:00                                          Void   \n",
       "2017-11-03 02:54:37+00:00                                          Void   \n",
       "2017-11-03 02:50:23+00:00                                          Void   \n",
       "2017-11-03 02:43:01+00:00                                          Void   \n",
       "\n",
       "                                         artist  \\\n",
       "time                                              \n",
       "2020-12-31 18:35:28+00:00                Joeski   \n",
       "2020-12-31 18:28:13+00:00            Tim Reaper   \n",
       "2020-12-31 18:22:07+00:00                 Ben A   \n",
       "2020-12-31 17:52:23+00:00  Purple Disco Machine   \n",
       "2020-12-31 17:00:28+00:00          Mystic State   \n",
       "...                                         ...   \n",
       "2017-11-03 03:35:27+00:00              RL Grime   \n",
       "2017-11-03 03:28:51+00:00              RL Grime   \n",
       "2017-11-03 02:54:37+00:00              RL Grime   \n",
       "2017-11-03 02:50:23+00:00              RL Grime   \n",
       "2017-11-03 02:43:01+00:00              RL Grime   \n",
       "\n",
       "                                                            uri  acousticness  \\\n",
       "time                                                                            \n",
       "2020-12-31 18:35:28+00:00  spotify:track:3eGyeq8R8PscX1d13c9eJP      0.000542   \n",
       "2020-12-31 18:28:13+00:00  spotify:track:3lc7wN7T29s7uRbPZR0hTH      0.001530   \n",
       "2020-12-31 18:22:07+00:00  spotify:track:4x94xmQhUnd59k8oGM7AkG      0.001720   \n",
       "2020-12-31 17:52:23+00:00  spotify:track:11DRarpv190YnCAXt85uFA      0.032000   \n",
       "2020-12-31 17:00:28+00:00  spotify:track:6JBKvAWsMvo68a9pMa9Ujn      0.040300   \n",
       "...                                                         ...           ...   \n",
       "2017-11-03 03:35:27+00:00  spotify:track:4or82pWT9zvQNIoGckZiYb      0.003340   \n",
       "2017-11-03 03:28:51+00:00  spotify:track:762ME2OHjuGo4xTbfZhpok      0.683000   \n",
       "2017-11-03 02:54:37+00:00  spotify:track:2JUdMBlA5JzuemLGzZNDrf      0.683000   \n",
       "2017-11-03 02:50:23+00:00  spotify:track:0jYAtTuRsRdHMuvaOXIAj5      0.034600   \n",
       "2017-11-03 02:43:01+00:00  spotify:track:39FvWuHBtYQTJNdisJxZIG      0.181000   \n",
       "\n",
       "                           danceability  duration_ms  energy  \\\n",
       "time                                                           \n",
       "2020-12-31 18:35:28+00:00         0.803       389834   0.857   \n",
       "2020-12-31 18:28:13+00:00         0.537       440255   0.868   \n",
       "2020-12-31 18:22:07+00:00         0.809       372614   0.982   \n",
       "2020-12-31 17:52:23+00:00         0.758       409961   0.913   \n",
       "2020-12-31 17:00:28+00:00         0.621       342866   0.680   \n",
       "...                                 ...          ...     ...   \n",
       "2017-11-03 03:35:27+00:00         0.573       301429   0.932   \n",
       "2017-11-03 03:28:51+00:00         0.289       464015   0.404   \n",
       "2017-11-03 02:54:37+00:00         0.593       260075   0.560   \n",
       "2017-11-03 02:50:23+00:00         0.546       254815   0.850   \n",
       "2017-11-03 02:43:01+00:00         0.361       153346   0.727   \n",
       "\n",
       "                           instrumentalness  key  liveness  loudness  mode  \\\n",
       "time                                                                         \n",
       "2020-12-31 18:35:28+00:00             0.840    4    0.0787    -7.273     0   \n",
       "2020-12-31 18:28:13+00:00             0.877   10    0.5730    -7.319     0   \n",
       "2020-12-31 18:22:07+00:00             0.911    6    0.0657    -8.690     0   \n",
       "2020-12-31 17:52:23+00:00             0.739    5    0.0304    -6.712     1   \n",
       "2020-12-31 17:00:28+00:00             0.803    9    0.2890   -10.943     0   \n",
       "...                                     ...  ...       ...       ...   ...   \n",
       "2017-11-03 03:35:27+00:00             0.744    9    0.1120    -5.158     0   \n",
       "2017-11-03 03:28:51+00:00             0.854    7    0.3280   -12.815     0   \n",
       "2017-11-03 02:54:37+00:00             0.109    3    0.1040    -7.059     0   \n",
       "2017-11-03 02:50:23+00:00             0.680   10    0.1120    -3.366     0   \n",
       "2017-11-03 02:43:01+00:00             0.710    7    0.1980    -8.480     1   \n",
       "\n",
       "                           speechiness    tempo  time_signature  valence  \n",
       "time                                                                      \n",
       "2020-12-31 18:35:28+00:00       0.0449  125.016               4   0.2230  \n",
       "2020-12-31 18:28:13+00:00       0.0618  157.015               4   0.2650  \n",
       "2020-12-31 18:22:07+00:00       0.0460  123.992               4   0.8240  \n",
       "2020-12-31 17:52:23+00:00       0.0518  117.997               4   0.7230  \n",
       "2020-12-31 17:00:28+00:00       0.0484  139.989               4   0.2190  \n",
       "...                                ...      ...             ...      ...  \n",
       "2017-11-03 03:35:27+00:00       0.0500  168.008               4   0.1610  \n",
       "2017-11-03 03:28:51+00:00       0.0352   92.873               4   0.0285  \n",
       "2017-11-03 02:54:37+00:00       0.0447  113.895               4   0.3630  \n",
       "2017-11-03 02:50:23+00:00       0.0386  161.996               4   0.3020  \n",
       "2017-11-03 02:43:01+00:00       0.0519  104.380               4   0.0368  \n",
       "\n",
       "[92217 rows x 17 columns]"
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     },
     "metadata": {},
     "execution_count": 5
    }
   ],
   "source": [
    "scrobbles.sort_index(ascending=False)"
   ]
  },
  {
   "source": [
    "# Listening Parameters Over Time"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
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VYwvDQWSahE5I5cwLmSz4EPCtEMIy2vEJpMWvF/KmpyFToxwDEEJ8kvxwew6pRPRHKhXXkNUadClF8gshxGJN00KRucGGI5WBHUjF4/PkZpaJrdPrb29y+bjxQD+gD/J4RiNz/n0B/JiFtCaptxGkaVoH5Dlrj1TeziCTDG8iC0qgEGK9pmmPIC2gw5GK/X6kIlENCyUweZ2DmqY1QfrVPYxUniOQ+/mWRfP3kZbVR5CKsB1S2fg7ua/NyVbI6cn70wGpGAUhA1aMpr4zy29Iy3ZbpMLlgrwmlyJL/J1ItW93NE0bjAxwGsP96OtfSadmtRBibXIS7VeQinBPpLJ5hvtKFshp34FIRbs78kXjarL8a2FjWqbk9CSPJb/8jUdet48gk5ZfQCad/lakSj1k0MdOTdMukOwSgEzwbtQuXNO0TkjF8zFgMFIxv4FUPF9AJhovlBT1/VdkDy1nMhAoFIq8IHm65xKyZFu5jNorFAqFQmEN5ROoUBRANE0rrmmaq4VMQ1rEKiGnKBUKhUKhyDLKEqhQFECSa7guQ/q2+SN9F32RkcEBQAtLJ3mFQqFQKDKDUgIVigJIcjTf+0g/tVJI/91ApF/Uh0KIzCSMVigUCoVCR5aVwOR8ZS8BrZF1T72AsULWYbVl/eLAp0gnZFeks/eLQojDWRqQQqFQKBQKhcJmsuMTWBIZaVcXsCxyny7JyT/XIiOZvgdeBkoD2zRNq5mNMSkUCoVCoVAobCA7KWKuA+WEEMHJqQcOZGLdIch0CEOFECsAknOAnUOmDngsG+NSKBQKhUKhUGRAli2BQog4IURWC3APQeYwWpmqv1vIDPH9s1m6SqFQKBQKhUKRAfmVLLopcFgIYVnxYD8y4WUt4LjRipqmlUY6yqfGPXmdE8hErgqFQqFQKBQFFUdktZ7t1qr95AX5pQSWQ1Y/sOR68nd5rCiByOoDb+fGoBQKhUKhUCjykP7A6vzaeH4pgS7IMliWxKZabo0fgOUWsjrAivnz51OvXr0cGJ5txMTEcPz4cRo2bIiLS3pDVigKHur6VTzIqOtX8SBz6tQpxo0bBzLva76RX0pgDLJWpiXOqZYbkpwgN02SXFlIAerVq0fr1q1zaIgZEx4eTlhYGM2aNcPT0zPPtqtQ5ATq+lU8yKjrV1FIyFcXtvwqG3cdOSVsSYosKA/HolAoFAqFQlHkyC9LoB/QQdM0k0VwSGsgGpkqRqFQKBSKIsWdO3cICwvDbLaMm1Q8iJhMJooVK4aXl1d+D8WQXLcEappWTtO0OpqmOaQSrwDKAINStSsJDAX+FkIY+QsqFAqFQlFouXPnDsHBwcTFxaFKuj74CCGIi4sjODiYO3fu5PdwDMmWJVDTtClAcWQ0L8Ajmqb5JP/9XXLY80fAaKAq4J+8bAWwF/hZ07R6wG1k1K8dKvJXoVAoFEWQsLAwTCYT1atXx94+vybqFDlJYmIiFy9eJCwsrEBaA7N7lU0HKqf6fxD3rXu/Aoa5b4QQSZqm9QY+A55DRgMfAMYIIc5mc0wKhUKhUDxwmM1m7O3tlQJYiEg5nwV1ej9bV5oQoooNbcYAYwzkd4Cnkj8KhUKhUBR5UrJdKAoPBfmc5ld0sEKhUCgUCoUiH1FKoEKhUCgUijzn66+/JjExEYCgoCBGjRqVzyMqeiglUKFQKBQKRZ6TWgksX748ixYtyucRFT2U96lCoVAoFAWMKq+uzdX+/T/uYyjv27cv169fJz4+nnfeeYdBgwYxd+5cvv32W0wmEwMGDOCdd95h3bp1vPrqq5jNZoYMGcKMGTMAKFu2LMHBwQDMmDGDsmXLMn78eEaPHs2RI0cwmUy89tpr3Llzh6CgIFq3bk2dOnX45JNPGDFiBHv37iUhIYEXXniB7du3o2kaH3zwAQ0bNmTQoEHUrVuXQ4cO0aVLF2bNmgXA2rVree+994iNjcXX15cffviB4OBghg4dSlRUFGazmd9//x1PT0+drE6dOrl6nAs6SglUKBQKhUIBwKJFi/D29iY8PJw2bdpQvXp1Zs6cya5du/D09CQ0NJSYmBgmTZrEf//9R9myZencuTPdu3enffv2hn36+fkREBDAyZMnAZkKp1ixYnz22Wfs27cPZ2dn/P3977WfM2cOUVFRHDt2DIC7d+8SFhbGqVOnWLZsGdWqVaN58+acP38eLy8vvv76a7Zt24azszOTJ09m5cqVXLlyhe7du/POO++QkJBAYmIiP/zwg05W1FFKoEKhUCgUCgC++uorVq9eDYC/vz9//fUXI0aMuFef2dvbGz8/P+rVq0fFihUBGD58OLt27bKqBFarVo2rV6/y7LPPMmDAALp165buGLZs2cLLL798L6rWy8uLsLAw6tatS82aNQFo1KgR/v7+nDlzhmPHjuHr6wtATEwMlStXxtfXlzFjxmAymRg6dCj16tWjZcuWOllRR/kEKhQKhUKhYOvWrezfv5/9+/dz9OhRqlatmukEx6nTocTFyeJfXl5eHDt2jPbt2/PJJ5/cmzrOLE5OTvf+NplMJCUlIYSgf//++Pn54efnx9mzZ3n55Zfp2LEjO3bsoHTp0gwePJjNmzcbyoo6SglUKBQKhUJBeHg43t7eODk5sX//fk6fPk3Xrl1ZunQp4eHhAISGhlK7dm1Onz5NUFAQiYmJLF++nHbt2gHg5uZGYGAgcXFxbNiwAYDbt28jhGD48OG88cYb+Pn5AeDh4UFERIRuHN27d2fOnDkIIRBCcPfuXatj9vX1ZfPmzQQGBgIQEhJCYGAgV65coVy5ckycOJERI0Zw/PhxQ1lRR00HKxQKhUJRwLAWuJGbPPTQQ8ycOZP69evTqFEjGjdujLu7O1OmTKFt27bY2dkxcOBAZsyYwcyZM3n44YdJSkpiyJAh96aC33nnHTp16oSPjw+1a9cGIDAwkLFjxyKEwN7enu+//x6A8ePH06FDBxo3bswnn3xybxxPP/00p06dokGDBtjb2/Phhx9Sv359wzGXLl2amTNn0r9/fxISEnBwcGDu3LkcP36cTz/9FEdHR0qUKMHSpUtZu3atTlbU0QpDkWpN0+oDJ/bu3Uvr1q3zbLvh4eFs3bqVLl263POXUCgeFNT1q3iQKYzX76VLlwDpQ6coPBid13379qX4MTYQQpzMn5Gp6WCFQqFQKBSKIolSAhUKhUKhUCiKIEoJVCgUCoVCoSiCKCVQoVAoFAqFogiilECFQqFQKBSKIohSAhUKhUKhUCiKIEoJVCgUCoVCoWPEiBFs27YtX7bduXNnzpw5o5O/9dZb7N69G4AqVaoQGxtLUFAQo0aNAmSd4k2bNuXpWB9kVLJohUKhUCgUDwTvvvuuTla+fHkWLVoESCXwzJkzdO/ePa+H9kCilECFQqFQKAoaM4rlcv9hhuL//e9//P7771SuXJmUYhJPP/00hw8fJiYmhkmTJjF58mQAypYty/Dhw9m0aRM1atRg5cqV2NnZsXv3bqZOnUpcXBzly5fnn3/+4caNGzz99NNcu3YNFxcX5s2bR61atZg9ezbz5s0jLi6O5s2bM2/ePEwmOUk5Z84ctmzZgqOjI7/99hs1atRgzJgxjBgxgl69et0bs7+/PyNGjGDXrl289dZbxMXFsX79et5++21ee+01Tp8+jaZpHD16lJdffpl///03d4/tA4SaDlYoFAqFQsH+/fvZuHEjJ06c4Oeff2bv3r0AfPzxxxw8eBA/Pz8WLFjA7du3Abhx4waDBw/m5MmTmM1mtmzZQlxcHKNGjWLhwoUcPXqUxYsXA/DCCy/w9ttvc/DgQb788kumTZsGwLBhwzhw4ADHjh3DxcWFv//++954UhS3N998k6lTp2Y4fjs7O959913Gjh2Ln58fAwcOpEmTJuzYsQOARYsW3Zs2VkiUJVChUCgUCgW7d+9m0KBBODg4UKFCBTp06ADAkiVLmDdvHklJSQQEBHD+/HlKlixJ8eLF6dixIwBNmzbF39+fMmXKUKNGDerWrQuAt7c3AFu2bOHUqVP3tmVnZwdwT8kLDw/n7t27VKxYkf79+wPSJxGgf//+TJo0KUv7NHbsWH755Rfat2/P33//zXvvvZelfgorSglUKBQKhUIBSOtb6r8vXbrEnDlz2L17Nx4eHvTt25e4uDgAnJyc7rU1mUwkJSWl2+/hw4fvTfWmMH78eP755x9q1qzJ559/TmRkpNWxZIUePXowbdo0Vq9eTdu2bXF1dc1SP4UVNR2sUCgUCoWCtm3b8ueff5KQkEBQUBD//fcfEREReHh44O7ujr+/P9u3b0+3jzp16nDx4kVOnz4NQGhoKAAdOnTgp59+AsBsNnP8+HEAoqKiKFWqFLGxsSxbtixNXyn/r1mzhqZNm9q0Dx4eHkRERNz732Qy0a9fPyZNmqSmgg1QlkCFQqFQKAoaVgI3cpNWrVrRrVs3GjRoQJUqVfD19aVx48YcPHiQOnXqUL16ddq1a5duH46Ojvd87+Lj46lYsSJr1qzhu+++Y8KECcycOZOEhARGjRpFw4YNeeONN2jWrBllypTRKXpJSUk0btz4XmCILXTp0oWPP/6Ypk2b8uWXX9KlSxdGjBjB4sWL6dy5c1YPTaFFS4n+eZDRNK0+cGLv3r20bt06z7YbHh7O1q1b6dKlC56ennm2XYUiJ1DXr+JBpjBev5cuXQKgWrVq+TySwsXs2bMJDAzk/fffz5ftG53Xffv24evrC9BACHEyXwaGsgQqFAqFQqEopIwfP57du3ezdevW/B5KgUQpgQqFQqFQKAolc+fOze8hFGhUYIhCoVAoFApFEUQpgQqFQqFQKBRFEKUEKhQKhUKhUBRBlBKoUCgUCoVCUQRRSqBCoVAoFIocJ70KIoqCgYoOVigUCoWigNFwYcNc7f/46OOG8vnz5zNr1izi4+MZNGgQnTp14qOPPsLR0ZEzZ84wZswY3njjDcO2b7/9Ntu2beP999/H3t6euLg41qxZw+OPP8758+dp164dq1evJjg4mBEjRvD000/TtWtXAFq0aMGqVauoUKFCru63Ii1KCVQoFAqFQsGpU6dYv349e/fuRdM0BgwYgJubG0eOHOH06dO4uLhQu3Ztpk6dypUrV3RtDx48CMChQ4c4ffo0ZcuW5dNPP6VGjRr89ddfrFmz5l7KljFjxvDLL7/QtWtXTpw4gbe3t1IA8wE1HaxQKBQKhYLNmzezZ88emjdvTrNmzTh16hQVKlSgXbt2lChRAldXV6pWrUpQUJBh2/PnzwOyTnDZsmUB2L17N8OHDwegb9++uLq6AtCjRw/27t1LTEwMCxcu5IknnsifnS7iKCVQoVAoFAoFQggmTpyIn58ffn5+XLhwgXLlyuHk5HSvjclkIikpybDto48+CnBP0Uvp0wg7OzsGDBjAH3/8wapVqxg0aFDu7pzCEKUEKhQKhUKhoGvXrixdupS7d+8CEBgYSEhISLbatm3bluXLlwOwbt06oqOj7y0bM2YML7/8Mr6+vri5ueXszihsQvkEKhQKhUJRwLAWuJGbNGjQgOnTp9OpUyeEELi7uzNhwgSb2y5dulTXbvLkyTz22GPUr1+f9u3bU7FixXvLateuTZkyZdRUcD6ilECFQqFQKBQAjBo1ilGjRulkKWzbti3dtpUqVaJz5873/nd2dmb58uU4OTnx33//cfbs2XvLQkJCiIuLo1u3bjm7EwqbUUqgQqFQKBSKXCEyMpJu3bqRmJiIk5PTvejgdevWMWHCBD7++GNMJuWZll8oJVChUCgUCkWuULx4cQ4dOqST9+7dm6tXr+bDiBSpUeq3QqFQKBQKRRFEKYEKhUKhUCgURRClBCoUCoVCoVAUQZQSqFAoFAqFQlEEUUqgQqFQKBQKAIKCgnRpXzLC39+fFStW5NKIMs/nn3+eYZtt27YxYsSIPBhNwUYpgQqFQqFQKAAoX748ixYtytQ66SmBSUlJOTGsTGGLEqiQqBQxCoVCoVAUME7XqZur/dc9c9pQ7u/vz4gRI5gwYQLr16/n1q1b+Pv789ZbbzF69GiOHz/OmDFjSEpKQtM0tm7dyhtvvMGpU6do0qQJL730EufPn+fKlSucOXOGtm3b4uHhQdmyZe9VHylbtizBwcEsWLCAdevWcevWLS5fvsw333zDpk2b2LRpE23atGH+/PkArF27lvfee4/Y2Fh8fX354YcfuHr1KoMGDaJu3bocOnSILl26MGvWLN544w1CQkJo0qQJXbp04Z133mHAgAHcvXsXIQTfffcd7du3T7PPM2bM4Nq1a5w+fZrr168za9YsevbsSWJiIi+++CK7d+8mISGB9957j0ceeYSlS5fy7rvv4uDgQK1atVi+fLmh7EFAKYEKhUKhUCh0nDx5kn379hEeHo6vry+jR4/mxx9/ZMqUKYwdO5bo6GgcHR354IMPmD179r2ycTNmzODixYvs2LEDBwcHZsyYYXUbZ86cYf/+/Zw9e5Y2bdqwadMmvv32W1q0aMHZs2cpUaIEX3/9Ndu2bcPZ2ZnJkyezcuVKWrRowalTp1i2bBnVqlWjefPmnD9/ng8++IB58+bh5+cHQEJCAqtWrcLDw4PAwEAGDx7Mvn37dOO4cuUK27dvx8/Pj+eee46ePXvy008/UbVqVb755hvCw8Np06YNvXr14oMPPmDt2rVUrVqVsLAwAEPZg4BSAhUKhUKhUOjo3r07rq6uuLq6YjabSUhIoE2bNrz//vvcunWL4cOHU7lyZcN1BwwYgIODg03bcHZ2pmHDhjg7O9O2bVsA6tevz9WrVzl37hzHjh3D19cXgJiYGCpXrkyLFi2oW7cuNWvWBKBRo0b4+/vf+z8FIQQvv/wyO3fuxM7OjgsXLhiOo0+fPtjZ2dG0aVP8/f0B2LhxI6dOnWLBggUAREREEBQURLt27Rg/fjyPPfYYQ4YMATCUPQgoJVChUCgUCoUOJyene3+bTCaSkpJ47LHHaNmyJX///TddunRh7dq1huu6urre+9vOzg6z2QxAXFxcmnaOjo73+k/5O/X2hBD079+fH3/8Mc16/v7+huOzZPHixcTHx+Pn54ednR3u7u7p7mvqfoQQzJs3755imsKsWbPYs2cPq1evpnXr1hw/ftxQZm9f8FUsFRiiUCgUCoXCJi5fvkyNGjWYNm0anTp14uzZs3h4eBAREWF1ncqVK9+bnl29enWmtufr68vmzZsJDAwEICQk5N7f1jCZTPeUzvDwcEqXLo2dnR0rVqwgKirK5m13796dWbNm3esrZR8uX75M27Zt+fDDD0lISCAiIsJQ9iBQ8NVUhUKhUCiKGNYCN/KbpUuX8uuvv+Lg4ECNGjXo1asXdnZ2xMTE3AsMsWTQoEHMnz+fRo0aMXDgwExtr3Tp0sycOZP+/fuTkJCAg4MDc+fOxdvb2+o6I0eOpGHDhvTs2ZPXX3+dvn370qhRIzp37kyZMmVs3vYzzzzDpUuXaNy4MWazmdq1a7Ny5UpefPFFLly4gBCC0aNH4+Xlxbhx43SyBwFNCJHfY8g2mqbVB07s3buX1q1b59l2w8PD2bp1K126dMHT0zPPtqtQ5ATq+lU8yBTG6/fSpUsAVKtWLZ9HoshJjM7rvn37UvwcGwghTubPyNR0sEKhUCgUCkWRRCmBCoVCoVAoFEUQpQQqFAqFQqFQFEGUEqhQKBQKhUJRBMmyEqhpmpOmaZ9omhakaVqMpmn7NE3rYeO63TVN26pp2m1N0+5qmrZf07QnsjoWhUKhUCgUCkXmyI4lcAEwDVgMPA8kAes0TWuf3kqapvUDNgCOwAzgDSAGWKRp2gvZGI9CoVAoFAqFwkaypARqmtYKGAG8JoR4SQjxI9AVuAJ8msHqU4DrQFchxPdCiJlAN+AiMCYr41EoFAqFQpF9/P398fX1ZfXq1Xz77bf5PRxFLpPVZNFDkJa/e3VchBCxmqbNAz7UNK2iECLAyrqewB0hRFyqdRM1TbudxbEoFAqFQqHIQfr165ffQ1DkAVlVApsC54QQ4Rby/cnfTQBrSuA24BVN094DFgICeAxoAQzL4ngUCoVCoSg0zJywJVf7nzy7a7rLFyxYwJkzZ3j55Zdp27YtZ86cAeDUqVNMmTKFLVu2sH//fl588UWioqKoXr06CxcuxNXVlbJlyzJ8+HA2bdpEjRo1WLlyJXZ2dobtzWYzQ4YMISgoCCEE3333HS1atNDJOnfunKvHo6iSVSWwHHJK15IUWfl01n0PqIr0BXwzWRYNDBZCrMpow5qmlQZKWYirA8TExBAebqmX5h4pNQgzU4tQoSgoqOtX8SBTGK/fhIQE7O3tSUpKyvVtWdtGUlISQgjMZjNms5lixYpRqVIlDh06RJMmTVi2bBmDBg0iJiaG6dOn8+eff+Ll5cXnn3/O999/z4svvsiNGzcYMGAAX375Jf3792fjxo106tTJsH3VqlUpXbo0a9euxWw2ExUVxT///KOT5cUxyS2EECQmJqbRT2JiYvJxRPfJqhLoAsQZyGNTLbdGHHAOWAGsBOyAp4FfNU3rIYTYm8G2JwFvGy04fvw4YWFhGaye8+zfvz/jRgpFAUVdv4oHmcJ0/Xp7e1OqVCkiIiJyfVvWthEVFYXZbCY2Npb4+HgiIiLo27cvv/32G9WrV2flypWsWLGCw4cPc+zYMbp06QJIBbZjx45ERERQrFgxmjZtSkREBPXq1ePs2bN4eHgYtu/atStbt25l2rRp9OvXj+bNm1O1alWdLC+OSW6RkJDArVu37llTAa5evZqPI7pPVpXAGMDJQO6cark1vgd8gWZCCDOApmm/AyeBb4CMiv/+ACy3kFUHVjVs2JBmzZplsHrOERUVxf79+2nVqhVubm55tl2FIidQ16/iQaYwXr/Xr1/H3t4eDw+PXN+WtW24ublhMplwdnbG0dERDw8Phg8fTvfu3Rk3bhxeXl7UqFGD6OhoWrZsyfr163V9ODs73+vf2dkZBwcHXF1drbY/ePAga9eu5dVXX2XChAmMGTPGUPagEhISQunSpWncuPE92eHDh/NxRPfJqhJ4HahgIC+X/B1ktJKmaY7Ak8CnKQoggBAiQdO0f4ApmqY5CiHirW1YCHETuGnRLwAuLi75Ukjczc2t0BQwVxQ91PVbeLgRdYOfT/7Mvuv7qORRiRdbvEglz0r5PaxcpTBdv7dvy/hIOzu7XN+WtW3Y2dmhaRomkwmTyYSdnR1lypShbNmyvPfeewwZMgQ7Ozvq16+Pv78/p06domHDhkRFRXH9+nVq1KiRpv+Ufqy1d3V1xdvbm3HjxmFnZ8eRI0e4ceOGTpYXxyS30DQNBweHNNepi0t6E6Z5R1aVQD+gi6ZpnhbBIa1TLTeiRPI2jc6mAzJlzYN7phUKhSIfCIsLY97xeSw5s4S4JOmpc+HuBc7eOcvKfitxdXDN5xEqMktGgRt5zdChQ5kwYQKff/45AI6OjixZsoQJEyYQGRmJEIJPP/30nhJoibX2mqYxffp07OzscHNzY+HChRw/flwnU+QOmhAi8ytpWmtgL/CSEOLzZJkTcAIIEUL4JssqAa5CiDPJ/9sBt5GWvIYpFj9N09yB00CkEKJuFsZTHzixd+9eWrfOaDY55wgPD2fr1q106dKl0LyJKooO2b1+AyICmH10Njejb9KrSi8G1hyISVOVKPOS6IRoFp9ezM8nfiYiwdhn6vlmz/NUw6fyeGS5T2G8/166dAmAatWq5fNIFDmJ0Xndt28fvr6+AA2EECfzZ2RZtAQKIfZpmrYc+Cg5WvcCMBqogpzuTWER0AnQktdL0jTtc+B9YK+maYuQlr8nAR9gZBb3Q6FQ5CExiTFM3DSRK+FXANh7fS/7g/fzXrv3cLRzzOfRFX4SzAmsPLeS2cdmczsm/RSr80/MZ2itoRRzKpZHo1MoFA8K2XltHwV8DTwBfIuczu0rhNiR3kpCiA+Ax4EEZJTve0A4MEQIsTgb41EoFHnEukvr7imA92SX1/HMxmcIi8v7CP2iglmYWXdpHf3/6s/7+97PUAEEiIiP4OcTP+fB6BQKxYNGlpVAIURscsm4ckIIZyFEKyHEvxZtOgshNIN1lwghWgshvIQQrkIIXyHEH1kdi0KhyDuEECw9u9Rw2cEbBxn9z2iCIg1jwxTZYPe13Qz7exiv/PcKARHWcvEbs/j0Ym5F38qlkSkUigcV5cCTDaISoghKDCIqofAkK1UoMuLoraOcCT1jdfnFsIuMXDeS0yGn83BUhZsV51bwzKZnOHvnrNU2dpodw2oN47c+v+FoSjslH5sUy5xjc3J7mAqF4gGjUCmBWQlyyep2/jj3B4P+HcQPkT8wbMMwDt8oGDl/FIrc5rczv2XY5lbMLcasH8POazvzYESFm7ikOL45/E26bXpV6cWqAav4X5v/0aBkAx6r+5iuzR/n/iAgPHMWRIVCUbgpVErgDyd/IDohOle3EZsYy1u732LGnhlEJkQCcDf+Lm/vfhvz/dSHCkWh5HbMbTZc2aCTG0UFRydGM2XzFFaeX5kXQyu0/Ov/L3fj7houa1e+Hcv6LuOzTp9R2bPyPfmTDZ7E3cE9TdtEkcjMozNzc6gKheIBo1ApgXtu7OHxdY9zNTx3yrEEhAcwct1I/rrwl26Zf7g/h24cypXtKhQFhZXnV5JoTkwj83b25teHf6W0S2ld+ySRxNu73+b7I9/nmaW+sLHs7DKdrKZXTeb1nMfsHrOpV6Kebnlx5+KMrj9aJ193aR1nQ61PKSsUeUnZsmUN5b179yY+3mrNCEUOUqiUQJAJUkesGcH2gO052u+Wq1sYvmZ4uj45qy6sytFtKhQFiURzIr+f/V0nH1RzEA1LNWRxn8XUKG6cKHbOsTm8uetNEpIScnuYhYrTIac5duuYTv52m7dpVa5VuuuOqjcKb2fvNDKB4Lsj3+XoGBWKnGbdunU4OqpUU3lBViuGFGgiEiKYsmUKExpPYGLjidlKYJtoTuT7I98z78S8DNtuuLKB11u/rrLzK7JNTGIMC04uYFvANip7Vublli9T0qVkvo5pW8A2bkTfSCMzaSaG1RoGQFm3six6eBEvbH2BfcH7dOuvvriaq+FXGVZ7GJ0qdsLTsXAk+M1NjKyAdbzr0KhkowzXdXVw5elGT/Px/o/TyLcHbufIzSM0Ld00x8apyHm+GN43V/t/cdkanSwoKIihQ4cSFRWF2Wzm999/59FHH6VatWqcOnWKDh06MHv2bEwmE2vXruW9994jNjYWX19ffvjhB0wmE/Pnz2fWrFnEx8czaNAg3n77bQDeeecdli9fjslkYvLkyTzzzDMAPP/882zatIkaNWqwcuVK7OzsqFKlCmfOnCE4OJhBgwZRt25dDh06RJcuXZg1axaA4faDg4N14/f09NTJ6tSpk6vH9kGi0FkCUzP76GymbJ6S5bxlt2Nu88zGZ2xSAEE+uDde2ZilbSkUKdyKvsW49eP4we8HToWc4p/L/zBy3ch8z7+39Iw+LUwnn06Ucy93738PRw9mdZ/FI9UeMezD75Yfr+98nU5LO/HMxmf4/ezvKnWJFSLiI1h3eZ1OPqz2sHv10jNiaK2hlHcrr5N/fehrNT2v0PHbb7/RvXt3/Pz8OHToEEIIjh07xv/+9z9OnTrF7du3WblyJbdv3+brr79m27Zt+Pn5YWdnx8qVKzl16hTr169n7969HDlyhEOHDnHw4EHWrFnDrl27OHz4MMeOHWPo0KEA3Lhxg8GDB3Py5EnMZjNbtmzRjenUqVPMmDGDkydPsmfPHs6fP291+5bjr1y5sqFMcZ9CaQlMzX/X/mPEmhF83eVranvXtnm9IzePMH3bdG7G3DRc7uPug4+bD3tv7E0jX3VxFf1r9M/WmDPiVMgplpxegrO9Mx19OtKufDvsTKrkcmHgdMhppmyZws3otNfdtchrvL37bb7q/JXNCkBOcunuJUPr3og6I3QyBzsHPmj/AeXcy/HjsR8N+0sUiewO2s3uoN28v/d9GpVqRPdK3elWqRsVPSvm+PgfRP6++DcxiTFpZG4ObvSp2sfmPhztHJnUZBJv7nozjfzwzcPsvLaTDj4dMuzj3J1zbLm6hSSRxMAaAynvrlcqFYWDli1bMmbMGEwmE0OHDsXV1ZXatWvTpEkTAEaMGMHOnTtxcnLi2LFjKWXPiImJoXLlyly/fp09e/bQvHlzACIjIzl//jwHDhxg3Lhx96Z4vb2lm0Lx4sXp2LEjAE2bNsXf3183prp161KzZk0AGjVqhL+/P2fOnDHcvq+vb5rx16tXT7dP9erd96GNT4onOiEaJzsnXBxccv6APgAUKktg4xKNDeWBkYGMXDeSNZf05u8UhBCExoZy4vYJ5h6by7j146wqgJ19OrO071LG1hmrW3Yg+ACBEYFZ2wEb+Pvi34xYM4JVF1ex7OwyJm+ezMMrH2bO0Tk6xUHxYLH56mZGrx9t9TxuvrqZJWeW5PGoJEbJoat4VsG3nK9he03TeLbps7zd5m3stPRfUASCo7eO8sWhL+j9Z28GrR7E0jNLi3S0vRDCcCq4X/V+mXY36VutL9WLVdfJvz3ybbrH+E7sHd7d8y5DVg9hpt9MZh+dzYBVA9jgr48OVxQOOnbsyI4dOyhdujSDBw9m8+bNaV46NU1D0zSEEPTv3x8/Pz/8/Pw4e/YsL7/8MkIIJk6ceE9+4cIFHn30Uavbc3Jyuve3yWQiKSnJpjbWtm80fiMZyOv7wt0LXIu8xqWwSzZV3ymMFCol8MXGLzKx8UTDZbFJsbz232t8tO8jNl3ZxMKTC/lw34dM2TyFgasG0npJazot68Sjax/l2yPfkigSdX2YNBPPN3ueb7p+QzGnYtT3qk9Jk95P6++Lf+f4voGM7Htz15sI0k7jXI+6zvd+39NzRU+mbp3Krmu7ivQD9EFDCMG84/N4YesLOsuPJV8c/IKTIXlbazwqIYrVF1fr5MNrD8/Q33ZIrSHM7DbTcErSGufvnOeDfR/w4rYXSTLrHwpFgYM3DnIp7JJOnuJ/mRnsTHY82/RZnfxM6BlDhS7RnMhvZ36j7599WX5ueZr7TUxiDC9uf5Hvj3yv7jGFkCtXrlCuXDkmTpzIiBEjiIiIuGd1E0Lw+++/0759e3x9fdm8eTOBgdLgERISQmBgIF27dmXp0qXcvXsXgMDAQEJCQujevTvz58+/F/EbGhqarXFa277l+I8fP24ouxN7h6DIoDQuETejb+oyHxQFCtV0sEkzManJJOqXqM9r/71GREKErs2SM0uyZE3xdvbmk46fpLF8aJpGU8embIxN6we46uIqnmn8TLYCUiz51/9fXt/5ero33iSRxOarm9l8dTM+7j4MrjWYATUG5HtAgcI68UnxvLPnHUMly4gEcwLTt03n90d+x8PRI5dHJ1lzcY2uKo6LvQv9avSzaf12FdqxdtBaDt04xOarm9lydYsuwMSITVc38eWhL3mp5UtZGveDjFEUdvMyzanhZRx9nRFdK3WlYcmGHL99PI38uyPf0a1yNxxMDoCcyfho/0ecv3M+3f7mHJvDuTvn+KjDR7g5uGVpTIr0MQrcyG22bdvGp59+iqOjIyVKlODjjz+mUaNGvPPOO5w8eZKOHTsycOBATCYTM2fOpH///iQkJODg4MDcuXNp1qwZ06dPp1OnTgghcHd3Z+nSpfTu3ZuDBw/StGlT7O3tmTJlCuPHj8/yOEuXLm24/ePHj6cZ/9KlS1m7dm0a2ZwFcwzLWgohiEqIophTsewcwgcOrTA4B2uaVh84sXfvXlq3bg3A1fCrTN02NcObmS00LtWYzzt9Tlm3tDmNwsPDWbV5FZ+Hf46ZtMrZ/Ifm07Jsy2xvG+Q04PRt0w2tkxlhb7Kna8WujK4/mkalMo4oVOQdd2LvMHXrVA7fNK42U9OrJrW9ahu6MfSs3JPPO32eLf/A8PBwtm7dSpcuXfD0NI7UFUIwaPUgLty9kEY+pNYQ3m7zdpa2K4TgZMhJNl3ZxOarm/EP90+3/Zut32R4neFZ2taDyO2Y2/RY0UNnlfis42f0qtory/3uu76PpzY8pZO/1eYt2pdvzxeHvuBf/38N1rROjeI1+LbLt/nix2nL9fugcemStP5Wq1Ytn0ci8ff3Z8SIEezduzfjxg8Ad2Pvci3ymtXlxZyK4ePhk+PbNTqv+/btS/FpbCCEyNvpnVQUqung1FTyrMSvD//Kw1UfzlY/I+uO5OeHftYpgCl4mjxpWVqv7BkllM4K2wO2M327sQJYwb1ChtbGRHMiG65s4PF1jzNl85R0a74q8o6Ldy/y6NpHrSqAnXw68cvDvzCj7QzqetfVLd9wZYOhtSinOXjjoE4BBBhRWx8QYiuaptGgZAOmNp/K3wP/ZlX/VTzX9Dnql6hv2P6j/R8VqfJzRgm5SziXoFulbtnqt3W51oY+nF8f+pp+f/VLVwG05td54e4FHl33KHuvFw4lQVF4yUgBBIiMjyxyUfOFajrYElcHVz7p8AmNSjbi84OfkyTS9y9ytnOmgnsFyruXp5JnJfpU7UPDUg0z3E7vyr3ZdzNt5OTGKxt5o/Ub2coZ+F/gf7yw7QVDP4W25dvybddvCY0J5Y/zf/Dn+T+tBrKksD1wO9sDt/NQlYeY1GQS1YoVjLfNgkxUQhTLzi7jdsxtHqryEI1LGQcfZYZd13Yxffv0e2UHLRldbzQvNH/hXsT3550+Z9iaYbop2U8PfErj0o2p4517Oa+M0sI0K90sU5H2GVGteDWqFa/G+EbjmXd8Hl8f/jrN8iSRxPTt01n08CJqedWyud8EcwJLTi9h3eV1uDm40a58O7pV6kaVYlVybOw5TZI5iRXnVujkg2oOwsHOIdv9P9/sefauTauwhceHp7vOgBoDeK7pc6w4t4Ifjv6gWx4WF8aEjRN4qeVLPFbnsXyJXs9pLt69yD+X/yE8PhwXexdc7V1xdXBN8+1i73Lv77JuZQtlftgqVaoUCivg3biMFUCQ95roxOgi5eJQqJVAkFaHkfVG0qBkA2Yfnc2N6BuUcS1DeffyVHCvcE/pq+BeAW9n7yzdwDqU64CHg0caH8SYxBg2XNnAgBoDsjTu3dd2M3XrVBLM+goLrcu25psu3+Bk50Q593JMaSoTY28P3M7yc8vZfW23LngkNf/6/8vGKxvpW60vExtPzBXzd2Eg0ZzI0xufvlex4ZdTvzC+4XgmN5mcpZQ8QggWnlzIV4e/MvTttNfsedP3TQbXGpxGXsmzEjPazOClHWl94+LN8UzfPp1lfZflyk3rZvRNtlzV5+0ySguTU4xrMI6AiAD+OP9HGnlUQhSTN09mSe8llHItlWE/l8Iu8fp/r6cJojkQfICvD39NjeI16FapG90qdaOOd50CpbT8d+0/rkddTyPT0BhSa0iO9N+gZAN6VO5hUz7TBiUa8Frr1+65kUxsMpGaXjV5fefrugCmJJHEx/s/5mzoWd70fRNHuwe32sOhG4eYuGlihkFaqXE0OfJ4vcd5odkLeXI9JSQlEBIbQkxiDG4Obng7e2NvKvSP8ywRFhfGtQhjBTAl0jk1EfERSgksjDQp3YTZPWbnSt9Odk70qtqL5eeWp5GvurAqS0rgvuv7eG7rc8Sb9bUTW5Rpwbddv8XZ3jmN3N5kf+/BFhgReM86GBIbYrgNszCz+uJq1l1ax6Cag3i60dOUcSuT6bEWZrYHbNeV7Jp7fC6nQ0/zScdPMlXxIiI+gv/t+h+br242XO7p6MlXnb+yWgqsV9Ve7A/er7vGroRf4d097/Jxh49z/OGz4twKnRtCCecSdK/UPUe3kxpN03jD9w2uRV7TTTEGRwUzZcsUfn7oZ6tWF7Mws/TMUr489CVxSXGGbS7cvcCFuxeYc2wOFdwr3PvdNC7VON/zbRql4unk0ylHc/NNaTKFzVc3Ww0y83b2ZmqzqfSv0V/nbtK9cncqelTk+a3PG1pW/rzwJ5fDLvNl5y9tUtYLGreibzF9+/RMKYAgX8h+PvEzVTyrMKjmoFwanSQ8LpygqKB7kfPRCdHcib1DeffyeRYs9qAQFhdmNWWbh6MH7o7uXI9M+9IVER9h1f2rMFJofQLzGiNl7+CNgwREBGSqn4PBB3l2y7OGD7BmpZsxs9vMDKcdfDx8eL7Z82wcspF3275LObdyVtsmikR+P/c7ff7sw6cHPmXz1c0cCD7A2dCzBEUGERkfWWRTQay8sNJQvvPaTh5d86jNQUdnQ88yYs0IqwpgFc8qLOmzJMNasC+3fNlwOnTd5XWsPG881qySYE4wnJYcUmtIjkxLpoeDyYEvOn9hmNvuVMgpXvvvNcPUMTeibjBh4wQ+2v+RVQXQkmuR11h0ahGj14+m2/JuvL/3fYKjgrO9D1khICKA3dd26+TDamc+LUx6VCtejX7V9ZHd9po9o+qNYs3ANQysOdCqv3Ft79r81uc3q4Fvfrf8eHjlw7z636vsv77/gbl/JJgTmL59erbyxX17+Fsi443dPLJLkjmJaxHXCIgI0F3/ieZEroZfJTAisEimOTEiPQXQ3dEdHw8fQ6U5Pine5vtHYUApgTlEw5INqVqsqk6emZyBR24eYdLmSYZvoY1KNeKH7j9kyu/Ewc6BgTUHsmbgGl5r9Vq6qWLikuL45dQvTN06lXH/jmPI30N46I+HaPNbG5r+0pR2v7Xj4T8eZtjfw5i8eTJ/nv+zUN9sbkTdSDcY4WrEVR5f93iG02qrLqxi5LqRXI24ari8ddnW/Nr7Vyp7ZlzKyNnemc87fY6LvT6z/Uf7P+LcnXMZ9mErm69u5lZM2nJudpodQ2sNzbFtpIenoyffd/seb2dv3bItAVv46tBXaWTrL69n0OpB7Lm+J8vbDIkNYdnZZQxcNZBDNw5luZ8U4pPiM6VQWObkAxn81a5Cu2yPxZKXWr6UJuCobfm2/NHvD15q+ZJN1iQvZy/m9JjD8NrGUdtxSXGsvbSWJzc8SZ+VfZhzdE6+Kde28s2hb6wGatlKSGwIPx3/KYdGdJ+ohCguhl3kbtzddNuFxYVx8e5FwuPS9/Ms7ITHhaerAFb0qIhJM+FgcjC8n0bE69PLFVaUEphDaJpG/+r6cnGrL6626U346K2jVv1QGpRowOzus7Psp+Bo58hjdR9j3aB1TGs+LdN5kMzCTHh8OIGRgZwOPc2OwB28tfstRq8fTUB45iydDwp/X/o7w/MWkxjDtG3T+ObwN7o387ikOGbsnsGbu94kNinWcP1R9UYxq8esTJ2PqsWq8labt3TyuKQ4pm+fTnRCtM19pYdRQEjXSl3z1GXAx8OH77p+h5Odk27ZwlML+f3s74TFhfHyjpd5acdLVgMcKnlUYlLjSTQsmXGQF0BkQiTPbHyGHYE7sjRuszAz99hcuvzehS6/d2HY38M4EHwg3XXikuL48/yfOvmw2sNyNN9oCp6Oniztu5SlfZeyYfAG5vSYQ7XimQsUczA58Kbvm7zV5i3sNeueRYGRgfeS2U/YNIF//f8lPknv6pKfbPDfwMJTC3Vyb2dvnm36LE81fIrH6jzGwBoDeajKQ3So0IHmZZobThsuOrUox6pGmYWZG1E38A/zJyFJ7x9uRKI5kYCIgFy3Ci5YsIBXX3011/rPCimVv2xRAFMweunJLWtuQaTI+ATmBX2r9dWVYroWeY1DNw6lmzPw6K2jPLPxGV30J0Bd77rM7jE7R3w9XOxdGNtgLENrDeWX07+w6OQiqxGqtnDs1jEG/z2YV1q+wqCagwqUg312EEIYPpCt8dPxn6SfYIdPKOZUjMCIQKZtm8bp0NOG7d0c3Hi37bv0rNIzS+PrW60vB4IP6KaAL4dd5oN9H/BB+w+y1G8K5+6cM7SEZSctTFZpVKoRH7b/kBe3v6hb9uG+D5l9dLbOYpma4bWHM635NFwdXJnYZCLBUcFsubqFzVc3c/DGQauKflxSHM9veZ4P2n9A72q9bR5veHw4r//3OtsDt9+TnQ49zbh/xzGgxgBebP4ixZ2L69bb4L9BZ+VxMDlkObDMFkyayWpanswwtNZQqhWrxrRt0wiNtV4JQiDYdW0Xu67torhTcfpW68vIeiOp4F4h22PIDpfDLvPWbv2LlUkz8Xmnz9O9dwdFBvHIn4+k8d9OMCfw5aEv+bLzl9kaV1xiHIGRgcQmGr9EgpztsaYchsWFEZUQRTm3cng6FY48iumRaE4kKDLIqhXPSAEEqQRaluqMTogmyZyU7z7CeYFSAnOQMm5laFO+Dbuu7Uoj/+vCX1ZvJOkpgLW9avNjjx9zPIO5u6M7ExtP5NHaj/LzyZ9ZcnqJVWtVRsQkxjBjzwy2BW5jRpsZlHApkaNjzQw3o2/y0/Gf2BqwFQeTA5OaTKJvtb6Z7ufgjYO66VsNjdk9ZvPJ/k8My3nturaLR9c+yqh6o/j2yLdWb0Q1itfgq85fZTtNyautXuXYrWO6HH6rL65meO3h2UoMvuyMvmZt9WLVcyz5eWbpWaUnUyOmGqaOsaYAlnQpybtt36WDT4c08rJuZXms7mM8Vvcx7sTeYVvANjZf3cyeoD26QKxEkcir/71KRHyETcmqz905xwtbX7A69f/Xhb/YHrCdl1q+RN9qfdO8NBnlfOxZpafhdHhBpHmZ5vzR7w/mHZ/H35f+JiwuLN32d+Pu8uvpX/nj/B/Mf2g+DUo2yKORpiU6IZpp26YZ3n+fb/Z8htd8effyjK4/mrnH56aRb7yykYPBB2lRtkWmxySEICQmhJh3TuEE6O3gmSOcmxjZyH0+7qCTTZs2jaZNm/LEE08AMGzYMCZPnswbb7xBdHQ0Tk5OzJ8/n7p10+YuvXHjBk8//TTXrl3DxcWFefPmUatWLTp37kzr1q3ZtGkTZrOZ1atXU7FiRYKCghg/fjyBgYHY29vz119/Ua5cOV588UV2795NQkIC7733Ho888ohN+xgRH0FQZJBVy6ebg5uhAggysNPB5JAmE4dAEJkQWSSqh6jp4BxmQPUBOtnGKxsNbzLpKYA1itdgbs+5hlaDnKK4c3FeaP4C/wz+h2nNp9GnWh86+XSiaemm1Cheg9KupQ39JYzYFrCNQasHZXkKLTuExITw2YHP6L2yN7+d+Y3gqGACIgJ4Y+cb+N30y3R/RlbA1uVa07Z8Wxb3XkzXil0N1wuICOCDfR9YVQAfqfYIi3svzpE8dS72LnzR6QvD87PwpH5ay1Yi4yP5+5Lej3V4neH5aukd12CczVGXPSv35M9+f+oUQEu8nL0YWHMg33f7no1DNxpaxQSC9/e9z9xjc9NNIvvP5X/S9f1M4U7cHV7f+TrjN4znSvgVQAYO+d3y07W15m9XUCnpUpJXWr3ClqFb+KzTZ7Qr3w6N9K+ZmMQYfvDT5x7MC4QQvLPnHcNk6F0rdmVs/bE29fNUw6cM/a0/PfBppmtfxyXFEZ0YnW/+k0OHDuWPP2R6ppiYGA4fPkzLli3ZvHkzhw8f5ptvvuH111/XrffCCy/w9ttvc/DgQb788kumTZt2b5m7uzuHDh1i5MiRzJ4tM3Q899xzDB06lKNHj7Jz505KlizJTz/9RNWqVTlw4AA7duzg1VdfJSEh/SlwszBzPfI6V8OvpqsAVvKsZNWtQtM03B3ddfKi4heoLIE5TJdKXYxzBvpvYGDNgfdkGSmAP/X8CS9nrzwZc0mXkoxtYP2Gl5CUQERCBBHxEVwJv8KH+z40TA8RGhvK5M2TGVprKNNbTM/15KlhcWEsPLmQX0//auhLaRZmvjn8DfMfmm+zAhMRH2EY7JGigLg7uvNVl6+Ye2wuM/1mppuPMQUHkwOvtnqVobWG5qgiVa14Naa3mM57e99LI990dRMBEQFU9Mh8Ka9lZ5fpjqWrvSuPVLPtjTy30DSNN33f5FrkNfZd32fYxsPBg9d9X6dP1T6ZPs7ezt781PMnntv6nKH/3rdHviU8Ppxpzael6TvRnMhXh75i0alFmdrevuB9DFo1iPGNxhv+lmp51aJJqSaZ6rOg4GjnSK8qvehVpRfXI6+z6uIq/rrwl9Vkvfuu7yMmMcbmF86cYunZpay7vE4nr+RRiffbv2/zNeTq4MrzzZ7nf7v+l0Z+OvQ0qy+uTnPfT4+b0TfZf30/jUo1wpH8ybPo6+vLqVOniIyM5N9//6Vnz57ExcUxefJkjh07hp2dHbGx+lmjLVu2cOrUqXv/29ndn0bt109Gojdt2pR58+YBsGfPHpYvl+muXFzked+4cSOnTp1iwYIFAERERBAUFETlysZBc7GJsQRGBhKXaD2St7hzccq5lcvQr9bD0YM7sXfSyCITZPWQwuLmZA1lCcxhnOycDEvVrbq46t7ftiiA+TmtaomDnQPezt5U9qxMR5+OrHhkRbq+SsvPLWfYmmEcv3XcapvsEJUQxZyjc3j4j4eZe3xuujm9Dt44yL5gY6XBiH8u/6ObGvd09KRrpfvWP5Nm4pnGz/B9t+9xd9C/QaamvFt5fnn4F4bVHpYrN5OBNQZS2qV0GplZmPn11K+Z7is6IdrQivhI9UcM35TzGgeTA192/tIwdUzrsq1Z2X+lbpo1M7g7ujOr+yw6V+xsuHzByQXM2DPjnnUnJCaEpzc+bVUBdHdwZ2yDsXg4GPvzxpvjmek307DE5PDa+Wt5zSnKuZdjQuMJrBu0jp96/kSfan1wMKVNMRRvjs8wcCanOXrrKJ8e+FQnd7Zz5svOX2baB7tf9X6G5R2/PfKt4X3ektsxt3ny3yeJTsyZwC5bMIog1jSN3r17s3btWlasWMGQIUP4+uuvqV27NsePH2fz5s3ExemVLk3TOHz4MH5+fvj5+XHo0CGSzEkkmhOJMkcREhNCZGIkMfExhMeFIxBEJUQRkxBDbGIs8UnxmM1mfvrpp3t9XL161VABFEJwO+Y2l8IuWVUA7Ux2VPSoaFNpVZDWQst2SeakPD0f+YVSAnOB/jX0UcKHbhwiIDzggVMAjXB3dOe9du/xVeevKO5U3LDNlfArPPHPE8zym5VjkYAxiTEsOLGAXn/04nu/79NYW9PjuyPf2VwP0mgquE+1PoYRqh19OvJbn98MlRKADhU68Psjv1O/ZPad763hYOfAY3Uf08n/vPBnhn5Zliw/t5w7cWnfhk2aiVH1RmVrjDmJp6Mns7rPolFJ6fNY3Kk4L7d8mR97/pgjCV6d7Jz4qvNXVi2fK8+v5KUdL3HoxiGGrbEe9VujeA1+6/Mb05pPY9WAVfSq0svmMbjau9KnWp8sjb+gYtJMtC7Xmo87fGz4kpyXtaFDY0N5cduLhtOHb7V5K0slEU2aiVdavaKT3465nWHKmNDYUJ769yn8w/0zvd3sYC2CeOjQofz666/s27ePTp06ER4eTtmyZdE07Z6VzpIOHTrw009yP81mM4f9DkslLSmOkNgQgqOCpZ9jYgwBEQE0atGIb+Z8w6WwS5wKPsXxoOM0aNOAT775hDMhZ7gUdon1u9ZzPeo6t2NuczfurlQaE2O4En6FG1E3rN7T3RzcqF6seqaCYUyayTD7RlGYElbTwblASs7Ay2GX08i/OPQFe6/vfaAVwNR0r9ydxqUa87/d/9MFw4B03P/h6A+svriaqc2n0rNyzyxZN6IToll5fiXzTszLMO+avWavq3Jx7NYx/rv2Hx19Oqa77rk75zgRckInT88XrUqxKizus5g3d77JpqubAHlDmdxkMk81fCpX0ntYMrT2UH489mOat9aYxBiWn1vOUw2fsqmP2MRYFpxcoJP3rtqbSp6VcmqoOUI593L82vtX7sTdwcPBI8eTV9ub7Hm//ft4Onmy+PRi3fKNVzammx/yoSoP8W7bd++5Q5RyLcVnnT6jX/V+fLDvgwxrmD5S/ZFCXbaqQ4UOrL64Oo3M6P6RGySZk3hlxyvciL6hWza89nAeqZ51t4fmZZrTs3JPNlzZkEa+6OQiBtccbFie827sXcZvGM/FsIu6ZZEvlaKCR4VsZYZISErgetR1q8pMSgRx6mojbdu25ciRI/Tu3Rs7OzsmTJjAkCFDmDVrFv376w0cAN999x0TJkxg5syZJCQk0GdoH8Y8O8bquF794FXemvoWC2cvxMHBgW8XfcvQ0UMJuBJAvw79MJvNVKlRhW8WfGPzvmqaRhnXMlku/+rh6KE7TpHxkVB4f4oAaLZaSAoymqbVB07s3buX1q1b59l2w8PD2bp1K126dMHTM+1bx/wT83UJba3xICqAqRFCsOzsMr44+EW6UcaNSzVmeovpNCndxKZ+w+LC+O3Mbyw5vURnobLEweTA8NrDGddgHBM2TdAlTq7rXZelfZemq5R9sv8Tfj2ddhq1rnddfn9EH7lpiRCCgzcOcjnsMq3LtbYp+XNOYjT2ki4l+Xfwv1bruKa+ftdcW8NH+z9Ks1xD468Bf1GtWObyxxUWhBDMPjbb5sAFk2ZiWvNpjKo3yupDKCYxhllHZ7Ho5CKShHHQwB/9/jCsDFNYCIsLo+Oyjrr0PGsHrs3UC0d6919rfHv4W10kL8gX9wW9FmS75vG1yGv0+7OfLtK8Z+WefNH5izSysLgwxm8YnyaV1KSKk/At54tzaWeqFKuSI36SQgjC4sK4HnU93dynxZ2KU9atbLbSogghCIgIyHMLmpO9Ez7uPrpyqpkhISnBMOF+Ta+a2b4uLl2SGSWqVbt/L923bx++vr4ADYQQJ43XzH3UdHAu0bdaX5usQNWLVX+gFUCQb2Aj6oxg2SPLqFeintV2R28d5Yl/nmD69unpJlO9GX2TLw5+Qc8VPZnpNzNdBdBes2doraGsG7SOV1q9QinXUkxpMkXX7nToaatl20BWd1hzaY1ObmtEqqZptCzbkmG1h+W5Aggwst5I3fV2O+Y2ay+tzXDd+KR45p+Yr5P3rNKzyCqAIM/pxMYTebVVxglxvZy8+LHHj4yuPzpdK4SLvQvTmk9jWd9l96a0U+NbzrdQK4AAxZyKGSbuzu0p4b3X9xoqgMWdivNFpy+y/aAHWeFldP3ROvmGKxvS5N6MiI9gwsYJhrlENTQqe1bOsUAZTdMo7lycGsVrpOvbezfuLhfuXsiWAhccHZznCqC3izfVilXLlgII0rWmKFYPUUpgLlHatTRty7dNt031YtWZ99C8B1oBTE21YtX4tfevPN3o6XQV4H/9/6XfX/344uAXaao8XA2/yozdM+j1Ry8WnFyQrlOuSTPRr3o/Vg9czVtt3krjD9a5YmcalNDnHZt5ZKbVlA1bA7bqkvU6mhwN/ZcKIhXcK9Czsj759KJTizL0h1x3dZ3h9NjTjZ7OsfE9yDxe93E+bP8hdpqxhaRBiQb8/sjvtC5n+yxEbe/aLHp4EW+2fpPSrjKwp6533Wwn+n5QMCqFl9tK4Oyjs3UyDY1POnxCOXfr9dUzy5MNnzRMGfPJ/k8wCzNRCVFM2DTB0PXETrPD1cE1VzIrONg5UMmjEuXdy1u9P6fUIA6KDMp0zeeQmBBCY/TJwjVNw8vZCy9nL4o5FcPD0QN3R3dcHVxxtnfG0c4RB5NDpl1n7E32VPasbFP0r63kVqqYgjzjqnwCc5H+NfpbvbEVNgUwBQeTA882fZaHqjzEFwe/YHfQbsN2CeYEFpxcwJ8X/mRs/bGcCT3DhisbbLrxPFTlISY1mWTVSqVpGs82fZZnNj2TRn4x7CL/+P9jmED6zwv6gJDulbs/UMlCR9cfzXr/9WlkF+5eYFfQLtpXaG+4TpJI4tdz+kjibpW6FXqLVGZ4pPojuDu4M3379DRTfYNrDua11q8ZBg5lhJ3JjuF1hjOs9jDuxt3Ns5RQBYEOFTroptkPBB8gLikuS8cyI25F3+LwDX1d4ElNJtG2Qvov65nFzcGN55o+p6tCcjr0NEvPLOVf/385duuYbj0XexealW2GSBIkJiZib5/zj+cUhczdwZ2gqCCr5dHuxN4hOjGaiu4VcbLP+HxExEdYzW3o4+5jU5CGEAKzMJNoTiTBnGD1WyDwcPSgjGsZ7E05e4w8HD24FZ02AX10YvaqhyQmJpKYmIiTU85f1zmBUgJzkS4Vuxg6mxZWBTA1tbxqMafHHHZe28kXB78wTMgK0i/GshKEEXaaHX2q9WFcg3FUL24cjZuaNuXb0Kx0M11B+Fl+s3ioykNp0lQERwWz+5peWbV1Krig0KBkA5qXaa4r+bbg5AKrSqBfvB/XY67r5MoKqKdLpS4s7rOYucfmEp0YzeCag+leuXu2+015MBcl6pWoh5eTVxpXj9ikWA4FH8pxpQxk7kzLnJ6VPCrl2nXev0Z/fjvzm26619LvNgUnOye+6/od1Z2rExwczMWLF7G3t8/VNEFCCOzMdsQmxhrmO40nntOcvmets0aSOYmohCjDPpztnbkdfpvbpB/QZysOyPt2HHFcJf3E7FlBCEFiQqLOGHEh9EKWAtCEkAq92WymWLGCaVBQSmAu4mTnxLgG4/jm8P0Ip6KgAKamfYX2+Jbz5a8Lf/H9ke8JiQ3J1PrOds4MqjmI0fVHU969vM3rpVgDx/6bNgn21Yir/H3x7zQK3l8X/tLdwCq4V8i3MmnZYUz9MTolcN/1fZwJPUMd7zpp5InmRHbE6Su8dPTpmK5vZ1GmjncdnYO/IvOYNBNtK7TV+azuDNqZK0rgBv8NOtlDVR7Kteh9k2bi5ZYv6+4/RjiaHPm267dp3AnCwsIwmzM3HZtZNE3D0c4RszBz4vaJdO/NPu4+1PGuo7OGxSbGsvf6XuKS9Pn6fNx9Hrj7iKZpXA2/SmBkWp/18m7laVhK78dqSXxSPEGRQdiZ7CjvVh47kx1OTk4UK1YML6+C+aKnlMBcZmz9sXg6erLz2k6qFavGkw2fzFbI/4OIvcmeIbWG8HDVh5l/Yj6LTi7KsFaxh4MHI+qM4PG6j2dZYW5RtgVtyrVhz/U9aeSzj86mb7W+926ARsl6B9QYkCfpXXKajj4dqeJZRZdzbOHJhXzUIa0VYnPgZkLM+hv/M42e0ckUipymXfl2eiXw2k5ebvlyjm7ndsxt3YsRyMCn3KRF2Rb0qNwj3XRCDiYHvu7ydRr/cS8vrzxXGOrWrMvvZ3/n0wOf6iKbU6hRvAZfdPqCasWlG05kfCSj1o/i/J3zurbtyrdjfIvxOT5dmxcEOgby+ua0pfG8nLzY2nJrulPCB4MP8uyWZ4lMkFPsdbzr8Fuf3wr8MXjwnnIPGHYmO4bVHsa3Xb9lavOpRU4BTI2bgxvPNn2Wvwf+Tb/q/QzripZ0Kcm05tPYMGQDzzV7LtsW0ylN9ZHC16Ou88d5WR/zQPABXd42DS3diigFGZNmYlR9fXLn9ZfXp/HZSTInsfCsvjpI2/JtaVRKH7WqUOQ07SroawtfDrucYR7FzLL5ymadpb+iR0Vqe2U+KXRmmdZ8mq5CSgr2mj1fdv4ywxrXeYGmaQyvM5zFfRZbzW5w4e4FRqwdweqLq0k0JzJ9+3RDBbCmV00+7/R5gVd+rNGqbCuc7dJGGt+Ju8Px29YrYB0IPsCkzZPuKYAAZ0LP5GkS9KyilEBFnlPWrSwftP+ApX2X0tmnMy72LtTxrsP/fP/H+sHrGdtgbI6VKWtUqhGdfTrr5D8e+5GYxBhWnl+pW9a2QtscqT6RXzxS7RG8nb3TyBJFIktOL7n3/8arG7kSeUW3rrICKvIKb2dvw+nCnE4cbZm8Gchy4vrM4uPhY1hxx06z47NOn1ktUZhf1PGuw7K+y6xmRYhJjOGNnW8wePVgdgXpz1Mpl1L80O2HAlFmMqs42zvjW85XJ98euN2w/d7re5m0aZJh+dIzoWdyfHw5jVICFflGvRL1+K7bd+x7bB/LH1nOsNrDciUycHLTyTrZ7ZjbzD02l01XNumWDaxhW8H3goqzvTMjao/QyZefW05kfCRmYebHYz/qlrcq24pmZZrlxRAVCgDDgKWctJ6ExIRw8MZBnTy3p4JTM77R+DT+uHaaHR93+DhHgopyAzcHNz7p8Alvt3nb6v34UtglnczF3oXvu33/QL9Ap9Cxor661LaAbTrZ7qDdTNk8xap7U3r5cAsKSglU5Du5/UZex7uOYQ69ucfn6vxfijsVp0vFLrk6nrxgeJ3huht4ZEIkf5z/g61XtxpO4ygroCKvMVIC913fR0JSQo70v/nqZl2kp4+7D3W96+ZI/7bg5uDG/Ifm80LzFxhbf6ysJV3V9lrS+YGmaQypNYTFvRdTxbNKhu1NmonPOn72wAWCWKNjBb0SeOHuhTSuCruu7eLZzc8aBsWkYBlgUhBRSqCiSDC5yWSbAj1SAkYedLydvelXvZ9O/uvpX5lzbI5O3rR00wcyGlrxYNOgZAM8HdPmkItOjObIzSM50r/RVHCPKj3yZCo4NR6OHoxrMI5pLablS0WhrFLbuzbL+i4zzK2ampdbvkynip3yaFS5Txm3MoYvCtsD5JTwf4H/8dyW56wG0aSQ0/6tuYFSAhVFgmrFq9Gnap8M2z1ouQHT44l6T+gc74Ojgg1LVU1oNCHPH4wKhb3Jnjbl2+jkOTElHBobyoHgAzr5Q5UfynbfRQlXB1c+bP8h77Z9VxcwATCy7kger/t4PowsdzHy19weuJ3tAdt5fuvzGSqAADeibhCflHG7/EQpgYoiw8TGE62W/gJZ/qumV808HFHuUrVYVZvezut51TN8ECsUeYGhX2BQ9pVAo6ngCu4VcnbKMikRrh2GgANQgEuDZRdN0xhYcyBL+ixJE1U9pNYQpreYno8jyz2M7p37r+9n6rapJJj17gqNSjXSBeQJBEGRQbk2xpxAKYGKIkNFz4rppn4ZWPPBDggxYkz9MRm3qT1GWQEV+Ua78vo6wufvnLdahsxWNvrr8/P1qJxDU8FCwMk/4fsWMLcLzOsOi/pBDvkyFlRqetVk+SPL+b3v76wduJa327yd5XJqBZ263nUp5VIqjSxRJJJoTtS1bVKqCXO6zzGc6i/oU8JKCVQUKZ5p9Ixh3i5nO2eraREeZJqVbkbDktYz3ZezK0fbsjlfoUGhsJVSrqV01WwAq3XHbeFO7B32B+/XyY0CxDLN1b0wrwcsHwN3Lt+XX94B++dmv/8CjqZp1C1Rl0qelfJ7KLmKSTPR0UcfIGJJs9LNmN1jNu6O7vi4++iWF/QIYaUEKooU5dzLMbTWUJ28R+UehTKRt6ZphsmjU+ji1EVZARX5jpE1MDt+gVuubiFJJKWRlXMrR4OSDbLcJ7cvwNLHYf5DEKj3NQRg/4+Qy+XeFHlHJ5/03Wmal2nOrO6zcHNwA6CCRwVdm4IeIayUQEWR4+lGT1PB/f6P1d3BnQmNJ+TjiHKX7pW6p9nfFKp5VqOOg94Co1DkNe0q6JXAPUF7DH2vbMGoVFuWp4Ijb8HaF2FmKzizJv22dy7DxS2Z34aiQOJb3tdqrsSWZVvyQ7cfcHVwvSdTlkCF4gGghEsJfn7oZyY2nsjIuiNZ+PDCQj21YW+yZ3T90Tr52DpjH8j6yIrCR5PSTe5ZU1KITIjk+C3rpbqsERYXxr7r+3TyTCeIjo+GHZ/Bt03hwE9gYVm0yn59InbFg4mLvUuaus4ptC7bmpndZqZRAEFWiLFE+QQqFAWQcu7lmNRkEq+0eoVaXrXyezi5zvDawxlQYwAmzYS9Zs+4BuPoUv7BT4qtMMCcBKGXID4qv0diMw4mB8NSXVmZEt5ydQuJIq3zflm3sjQqmYma2KdWwXfNYcv7EB9hvZ2n3sLO+Q0QelkvVzyQPNv0WVzsXe7936FCB77r9l0aWQpGlsCAiABEAY4cfzArPCsUikxh0ky81+69ewXt3R3dCQ8Pz+9h3UcIiA2D8CCpvJSoDq7eGa+nSMuts7B8LNw8CfbO0OJJ6Dg9e8cyKQFunpLnqFxjyCUf0vYV2rP56uY0sp3XdvJcs+cy1Y9hgujMTAUf+RVW6UtNpsGjHHR9ExoNh2+bQdjVVAsFHJwHPd+3fdCKAktNr5qsHbiWHYE7KO1amvYV2lu9lkq5lsLR5Jgmh2BkQiTh8eEUcyqWV0POFEoJVCiKEF7OXvmz4aQEuHlaKnnh15K/Lf5OSGW50kxQrbN8yNbpA06FL2gnxwk4AEuGQswd+X9iLOydCX6/QseXoNXTYJ+J2tzx0XDkF9j9HYQFSJlPSxg4RyrpOYxRvsDToae5HXObki4lbeojLC6Mvdf36uQ2RwVf2g5/P299uaM7tJ8KvpPBMXkqsOWTsOnttO0O/wKdX7/fRlEwMSfJe5B7mXR/G6VcSzG41uAMuzNpJsq7l8c/3D+NPDAyUCmBCoXiASFgv/SFSoyFluOhnr78XKY4vwlWPnVfObEFYZYO9he3gL0L1OkNDYdBjW5gp0/xU+Q5twF+HwWJMfplsWGw4U2ZvqTbW9BgcPrWvOhQ6QO3bzZEh6RdFngA5nSCR76GhkNydBfKupWlRvEaXLh7IY18d9BuwxKIRmwN2KrL41batTSNStkwFXzrHPz+BBjkgUOzgxZjodOr4J42dxzNRsG2j+TvJYXYu3DiD2j2hE3jVuQD1w5Li+/NU+BcHIYtlC+e2cTHw0evBEYEUr9E/Wz3nRson0CFQnGfO1fg18HSr+nyDvlQPLwo6/1dPwbLRmZOAbQkMUY+UH8bDl/UlpGaV/cV6goNmcLvN/hthLECmJq7V+CPJ+GnbnDFIAdf2DX49w34qgFs/UCvAKYQHyH7+WtyjvsdGqaKCbTdL3CDv34quGflnhkHQEXdllbU2DD9smpdYPI+6POFXgEEOdXewMBKtP9HdY0WVAIOwKL+UgEEqbT/9liO+HI+aBHCSglUKBT32f0dxFn4Cq6ZJhPkZpboUFj2eMbKSab6DJFWqvk94ZvGsO1j4wd3UWHXt/DXBNsjVwGuHYKfH5Y5725fkBawvybL47nn+7TT8unh9yv82BmCMx/Ba432Pvop4d3Xd5Nkznj/wuPD2XN9j07eo3KP9FdMiIWlj8Edf/2ySm3hsWVQMoNykq3G62XBx6znE1TkH1f3wi8D9fe5hChYNSXbeR6NIoQLcq5ApQQqFApJdCj4LdbLzQnSmnc3wPa+khJlRYW7VzNseg87J/CqahxxacTdK3Ia7oc2csq5IHFhs0wt8n5ZqWDF3M3Z/s1mOcW78X/Gy8s2gqZPSN9Ka5xZI3PfzWwlFbqs5OS7fQ7mdpNTzTlg9WpWupku6jIsLowTIScyXHdbwDb9VLBLaZqUbmJ9JSHklGCAPqUM3tVgxGLb/CjLN4UKLfTyIlBB5IHCfxf8Msh6xPeVndlO8WNkCbwWUXDTxCglUKFQSA4tgIRo42VRt2Dpo7ZP/216Gy5v18uLVYImj8tAhb5fwWO/wzP/wUuX4M0b8LwfvHASxv0LLcaBiw2BLOHXYPFg+GtS9qadc4pzG2DJMJmmJTFGKlgLH4EoK9OrmSUpAVZNklZbI6p2hDFrof/3MGEn1OhuvS+RBKSjvJnsofGj8NRm4ylPgKQ4WDddvihEh9q8G0Y42jnSumxrnXzXtV0Zrms0Fdy9cvf0p4K3fQQnVujlzsXhseWZi6pu9bRedvJPiLxpex+K3OPSdlg8JGNL96YZEHIxy5tRlkCFQvHgkRif8Rtw8HH4a2LGFp9jy+W0oiXOxWH0ahjwg0yv0WIc1HoIyjUCtxL3gxU0DSr5SiXxxXMw4jeoP1CmPEkPv8Uw0xfO/pN+u9zkyh4ZoGEZXBB8DBb0hojg7PUfHyWnLo/+Zry8Xn94fAU4e8r/y9SHkX/AE39CmUyUTHNwhdYT4Tk/GDgbfFrA4HnQ7zsZqGPEmTUwu4M8BtnAqHpIRvkCI+IjDGsNp5sg+uhS2P6JXm5ykBbAkjUyHGsa6g8AV4soZnMCHFqYuX4U90lKlO4KJ1bC5vdgyQjpxrD908wp1xe3yBczay+5qUmMkS+UNrggGGFUnel65HWdlbqgoJRAhUIBJ1dCxPWM251aJW/A1rh+FFZP0cs1Ewz9GbyrZm5c9o4yMnjoAph+HgbMkhF81qw7kcEySOKPp7Jtlco0wcdhyXDrPpC3zsD8XpmbIk9NdKh0Zj+vt3gB0PIpGPKz8fRl9a7wzA7o/4PMcWcNFy/o/Jq0xj78MRSveH+ZpslI2Ke3QWkrkY7hgVLZ/feNzLkPpMJICTxx+wR3Yq1bebcFbNOVmCvpUpImpZoYr+C/S/p/GdHvW6ii903MEHsnaK6vzMPB+VKZUaRPVIi01u35QbpQzOkEH1WAmS1hxVj473M494982dj6gQxgWjUFbp5Jv9/zm6TymDp6O4UyDaHRCL08YC/snZWl3XB3dKe4U/E0skSRyI3oG1nqL7dRSqBCUdQRwthyV6G5sfVt24dwarVeHhUCS0ca32y7z5CKSHZw9oQmj8GoVfDckfTTORxfLn3dTq3K3jZtJeSi9DWKyyBI5c5lmP9w5qebAg/C/IesBxp0eQN6fw4mO+t9mOyg6ePw7GHo8qbMeZeCpw/0+lgqf51fTX8atHQdGL9ZJqI2Qpjl9fRNI2m1ubQ9U/6CFT0qUsWzStouESw9s5TAiEDMQu+4b5Qgunul7tgZHY+QizJgycgHssN0eY1lleZj9S8oEUFwdm3W+yzMhF+XwV1fN4LPqsGifvDva9KF4rqf8b0khaQ4mcfyh9bw6xC4tE1/nZ1dL91YkuL065dtJGcm+nwBXlX0y7e8J62QWeBB8gtUeQIViiKOXcAe4wjPXh/LJMErxumX/fmMtOqVbSj/T0qEFWMsKick02AwtM1c1YcM8aoCT/wl09dseFMf6QfSj/H3UVBvgFSQjNJ75ATh1+GXARBl4/RUeKC0CI5aBWXqpd829DJsfldaao3QTNDnS5nDzlYcXaHTSzLJ8eXtcpq+cjtpdbUVBxfo+yVU6wSrnzWO0BZmabU5swZK1ZERtI1GgJO7vq0F7Su01+Va++HoD/xw9Adc7V2p4VWDqm5VSYpLwu2mG7uv2TgVHB0Ki4ca+47WHySV6exQvCLU7i33OTX758qpeoVU1C5vhwPz4MzazEW2W+PCRvkp2xDaTJHn8sJG+H20sbJfvql0kUjxOe7/g7RgpyYxVrq/jPsX7DKnKvl4+OiCmQIjA2lFq0z1kxcoS6BCUcRxPGwQwejTEiq2kgpch+n65QnRMq9W5C35/8a3ZF5BS8o0kH5kuVFqTNPk9NukPVAjnTQgp/6S1oKTf+b8GKJD4ddBxlO8JWrC438YB7dE3ZQPnWuHrff77xvwfUvrCqCdEwxdmDkFMDWu3tLXsnqXzCmAqanXXwaf+GTwcLt1RuZ3/LIu/PMK3D6fbnOjKeEUohOjOXbrGKv8V7EmZg0v7HohTZkugBLOJWhWulnaFRPjYdkTEGpghfVpJV0NTDnwSDRKF+P/n6yYUxBJiJFuHEeXwX9fyGon4Ta4hmSWmDtyqvf7ltKt4fTqnFEAUxN8XL6gftMo2TfXQAGs0EK+QKb+XVZpJ31gLbl2EPZYCcBKByO/wIKaK1BZAhWKIox7bBAOlwzSq7RJ5S/V5Q35ALOc0gq7Km+0TR+X5ckscfGSDvaObjk7aEuK+cDjy2WwxPpXja1S0SEyZc2ZddD7M3Apnv3txkdJH8CUhLOp8fSBUX/JsY1ZJx96lpbCmDuwsJ8ce+U2UpYYJ61GOz6TCWyt4eQJj/6WNd+1nKZ4JRi7TgZZ7PoGkuKtt40Ll5VI9s2Gqp3k8TEnpvokgTmJFknxeGIinKzlbOte2WAqeOdXMgWIbvyVYcQScMgg8MhWqnaCkrVk+pzUHPhJTj3mF0kJEHJB/pZvnpbX7a0zMordYIqdCi2gbl+o80jmg2RSE3REWv2Or8hazlAXL/kyWaaBtJyHXpZ+lun9Pqz5N1f0lb+3lMCp1HR7C87/K49HarZ+CLV6Qem6Ng/5QYoQzrISqGmaE/Au8ATgBRwD3hRCbLRx/eHAVKARkACcSl5/S1bHpFAUeOIi5Nvq3QCpiBTzkR/n/KkrWe3mv3ph8UpQp+/9/00mGDQHfuoBtyysGVd3y48lmkkGKRj52uQGmiZ9uap1gTUvSAdyI47/Dld2yQjl7JSISoyXKVEC9+uXuZaQU03Fkh8EZerBuPVS4Qu3eBDER0hL4ojFUinc9I7Mf5geperISN2ymYj2zW3sHGTEd6unZTTswfnSFy49jFIIJeMMvOruylslS5CYBSuyrlZwfDTs/UHf0KmYTFOUk64CmibLLf7zUlr50aXQ7W1jBSS3SIiRCvex5VIpzUwuyGsH5WfTDHnN1ekrlcJyTYwt+wmx0uc15KK0toZclH5914/atj3NJLdTpn7yp4H89iin316HF8FviXz5NErybUTldvJcW3NHcHSV1uD5vUiTNikpHv6cAE9tsrlkpZESWBh9AhcAQ4CvgfPAGGCdpmldhBDpxvNrmjYDeAtYkdyPA9AAsDFLrELxABAbLlODBPnJm2GQn3wTN8rL5uhxXyG0/JRrYpMfVWbRYkKpFGrwU209Ue8D4+QhLU9zu0KMDVG3Pd6V04x5jWc5Oc7jK+RD2Mj3K/yatMy1ngjd35b+bZnBnAR/Pi3TTlji6C5TtJSqlVZeojqM+0cqgncsSlMlRMsKBhnhVhq6vC6TQGfSRynPcC8t/Q3bT5X+XvvnGlvfbOCRyGhaxMSx1dWF844OnHNy4oJbMaIzsCZVcK9AszIWU8HHluotR5qdrBdbuk6WxpcujUfA5ncgPvK+LD5SKoKtDfIJgnQBOPGHnCaNCJa+hR2ny99eVggLlIE51/2ytn5qbp2Rn/8+h2IVoU4f+bIYclHe00Ivye2ll3PSGu5lpVtHs9FQzEYVwMldHseWT0r/y93fG7+QpVClg6z8ktGsRCVfaDtFn4Pzuh/s+lrmN7UBw+ngAmoJ1EQWsrxrmtYK2Ae8JIT4PFnmDJwAbgoh2qazri+wG3hRCPFVlkat77M+cGLv3r20bq1PNJpbhIeHs3XrVrp06YKnZx6+3SkKJsHH4eLW+wqfke9RVrB3kYl/Gw7Jmf6Sid3wHs67P08rdPKUEaLWrBWX/5NBEOnlvGo4FAbNzR0/wMwQeVNaBS2d9FNTsra0cpZvalufQsg+D/2sX2bnBCNXyGTN1ogIlgrorQzSWqTG3gXaPQdtn826QpCf3DgplcFjy2zL05YO5vbTCGr9JOfvnOd48HH2XNhDpHMkAZEBJIkkSruW5tOOn9K8TPNUK5mlT6jl9GyTkTDAwI0hp1j7opwCTk3JWjB5//3fRmKcTPlzdCmc+1dvqfOuJq2+FSyU2oy4skfW/Y66lfXx5zZVO8oI8zp9bLawpUvAfqm8nVmTdnq7WmeZa9TR1bZ+EmJgTkf99WJykOmRbLDAJ5gTaPlrS5IsfB73PbYPVwc5jn379uHr6wvQQAhx0rbB5TxZVQI/BaYB3kKI8FTy14APgUpCCMMkUZqmLQU6Aj7I1wY3IUSkUdtMjEcpgYr8ZetHsP3j3Ovf5CCj1HyaZ9zWFhLjMH9ZH1O0xUOizRR46IP01z3wk3zAGVG2IYzbYPsNN7cRQj5g/3nZOIIYZFWMTq9A+2l6C5vZDCHnZYqWa4fkg+aGQSS1ZoJhv8jpsoyICpGKdPCxDBpq0t+yyxvgWT7jfgs6MXflFN6BuXq/K1txLiZfUpw80tx/ndycCIsLw8vJCwdLheLCJvjVoNrJhJ33o9tzg5tnpPJpyRN/SYvU0aXS8peebxvI3363/0GbZ20LXDm0ANZOz9zUr6ePtIgWqwhXdsPts7avmxmcikm3jRbj9NbynCL0Ehz5VQYfVesETUdlPvAp8CDM66H3lSzbEJ7aYlN/vf7oxbXItFPAf/T7g1pecr8LihKY1TmFpsC51ApgMin22CaAtUyh3ZCWwOeAN4ESmqYFAx8IIQySlaVF07TSgKUDR3WAmJgYwsOt3OhzgaioqDTfiqKJ4+H5OOemAghgTsD8+2giR/6TI/6DDieW4WKhAArNjsj6IxEZ/YZqD8M54AiOx35NO0RnL6L6zEHEJsqp8IJCtT5oTzTGZf007AMNqlmYE2HrBySeXkdcl3fQom5gF+yH3XU/7G4cQ7NWZzQVMT0/I6FCR7Dp/uMAg5bg+tcY7IMOGrZIrNyJ2I5vYC6V7Iyeh/e13MME9UdCvcewCzqEKfSitIiZ7BGaSSrjJnuZz1CzA3MCLmsno6UONIkNI3bPXOKbPaW7/zrjTExiDDGknS523fmd7kGXWLEt0a6Vc/e4OpfHtWI77APSlrwTS4al3aeMMCfAxrdIPLeRmIe+QriXMW6XFI/zthk4Hv3FeleuJTGXqE1SydqYS9TGXLIWSSVqyRmAVJhCL2J/YT0OF9ZjF+xn+1itkFS6AfGNR5FQp7+sRgO5d+ztS0LLqff/j44F0sk3aIRnLZxaTMTpgIWlOPg4cZs+IK6tlZfgVJRzKadTAs/fOE9Zu7KA1FcKAllVAssBRuE3KTLD11ZN07yAkkA7oCvwDnAVGAt8p2laghBiTgbbngS8bbTg+PHjhIVlkKw1F9i/Px1fBEWhpvydfbTwN3A4T4cox9KEu/hgnxSDS3wILgmh2ImMKwqYwgOIXDKWA1WmZG+qVQi6nPkaS0+4a8VacujQOSDjBKmaqSsti52kXNgRAOLtXNnvM4GQwxeAC1kfW25S8hmqiyrUDVqBndBbSeyDj2D/W79Md3uiwqNcvFkKbm7N1Hp2JZ+mdXg0pSLvRxeHOVfkZIUR3PJsCCeCgWyWmSvQWFFm7uFE4+JtqBKSNoDEvOs7tt2tjNDk4yu9+6977DW6+W/TyQ85tCJ4a+bOV1YoZ9+MVqRVAjOlAKbC/sp/OM7vwuFKT3OzWOM0yxwTwmnp/x2ekcYWvBgHLw5UfZY7bqmifEOAkAjgkJUt1oNy9XAuEUq5sMOUu3uQEpFnMKUTsR3j4E2kUxminMomf5chwsWHKMfScFuDnfsyt9P5iMncjE7OFfCMTavIOez7ju0RlYhxLGllTYmI1s+ybj+6ncSz8l5/9WoWKwflMFlVAl0AgxTc99Rta57WKd7tJYARQohlAJqmrQCOIy2DGSmBPwDLLWTVgVUNGzakWbNM+k5kg6ioKPbv30+rVq1wc8vlNBiKAofd1d24/jkXLR1n6KTiVTGXaUBS6UYklWlIUun64FyclKvFDEQJM1p0CFrENUzhQZgirqFFXMP+8lbs7qSdNit/9wA9vQNIaGJQnsrWcV/ZgZuf3km5+MOv06Wcjb5xAKI70Rc3oEWHkFi1C43SK0dWYOhGzO1xuPwzFbtb2Z+BiWs1hUrtX6FSVjsw9yDmxDLsbp8h0ac1Wo2HaZBe1Y8ihim0EmJBlzS/MdeEUHqUjeBu5YcyvP86b3pNJzMXq0zdflOpmxfH2dwB808rMEXalnfP7FaahDoDsA/Yg91NvduBU2IEbS59QVzTJ4nr8BrYO2G6eQLXVa9hsrA6pZBYrjmJj8yhiTULok3I6fTImDs4XN6CXdBBMCdiLl4Fc/GqmL2qYi5eBRxccAKcgHRqzjwwmBqURSzph5bKt88kkujkcJy4Lu+mu27A2QAOnUqrYLuVd6NLYxkwd/iwlRyheUxWlcAY5Hm2xDnVcmvrgUwJsyJFKIQwa5q2DHhH07RKQgirKrIQ4iaQJuGWlmwVcXFxyRffPDc3N+UTWNQIPgF/jzfOidZgCDQfA+UaYedcDDtk+Hu6FCsO5aqnlYVekvUzLXzZXLa/i0vNTlCuUdbGftQgqKFSG9xrd8p8X82GZm0M+YlnK3hmm/Th3PmVcY60jCheGTq/ilPjR3HKbgBMe5mkNovpmgs3nk1llKxFjkqXwz+SUFdGVFu9/0aHwqk/dGJTm0l4FjdI4J1btHoStrxvfbmDq0y/0ngEpmqdcTLZyYCRze8al3MEnI7Mwylov/Sv2/yu9fx7TZ/Avs8XeBjVk84Knp5QZixy8q4I4Nke2j0PO79MI3Y6sRSnHm+Cm3VrYA2D3Io342/eu1ZdXDKZlSCXyGp69OvIKWFLUmTWEkSFIq2FIULoUoWnKHZ5+OtUKLLA3avS0dwo0KB2bxg4B6p2yL7vnnc1eOQbvTwpXiY+jsvYV03HzdPSUd6SNpMz39eDjL2jTA47dn3GuQwdPWQkY/sXYPhimHYaph6TD+D8joAuCrR7Xi+7eRI7g2neNBxeqFeOnDxlsE1e0uJJmQYlDZq8pgbMgunnYPBcqNHtfu1neycZoDXyD5kayIgbx2WdXSMFULODhz+T1XpySgEsqrR7Lm2dbZDHfN/sdFczTBhdAKuGZNUS6Ad00TTN0yI4pHWq5TqSLX5+QEtN0xyFEKnNKCl+hAU4pl1R5IkOlQpgpIGvVsXWMp1DTuZwazBIlpw6OD+tPPSiTFWS2VQse/QpMczFKmOq3dugcRGgUmuYsEtaUw4vlEEiZerLagkVmstPyVo5U05MkTUqtZaVHgL2phE7HZwDJZ8xXicpQaalsaTpE3mfZsfVWyYP/+8L+eJWsRU0Gi7rDGdEje4wcZesYWv08maEizcMWyRfRBXZx8VLzuxYWmX3/yhfUKxcT0a5Aq9FXkMIcW/2siCQ1TvbCsAOuJf1MrmCyFhgX0p6GE3TKmmaZpmJc1nyuqNTresMPA6cEkJkkGZeocgn4qNlmTDL/FEgFYVHl+ZOapSHPpTZ8y05vhyOWI8E1BF5E479rhPHNXvqvgWiKOLkDr0/hdeD4M2b8MwO6PultBiVrqMUwIKAgTXQPmAXxaOtpJo5vVomBU+NZrKeqDm3KVMPhsyDx3+XCaBtUQBTcC8Njy2X9wFTBo4lZRrIXHZKAcxZ2kwBOwuHjdgwOGjgWpNMcafiuDmk9VWNS4rjdszt3BhhlsnS3U0IsQ8ZnPGRpmmfapr2NLAFqAK8nKrpIsCyavYc4CQwU9O0zzRNexbYAVQGDCrVKxQFgKRE+ONJ46z0HuXktI1rLrlCO7jIEmwOBs7v616GGwa1a404MA+S0sZzxdu5klD/AfTryw1MdkVbGS7I1OolX7QsqHFjnXH7vbP0sjp98q6MYU5jMkmXjfGboURN4zb1BsCTG8Crcp4OrUjgWU5WgbFkz0zpv2mApmn4uBf8GsLZecUdhSwZ9wTwLdL3va8QYkd6KwkhYpDpYZYA44DPkEGSfYQQVgp+5iG3zsmM/l83hH9esXqCFUUIIWDdi3DW4IHj5CnLhBXPcnyobZSqJa1TliTGwIqxEJ9OrsroUDmdvF8feH+lRJeMSykpFPmNySQrplhQ/u4BNMtaywEHIPCAvg/fSbk0uDykXGN4Zruc1k5BM0HX/8HQBeq3nJu0mwpYTONGBsPR36yuYlg+LtkvUIs1KGmZD2TZeUkIEQu8lPyx1qazFflNZK3hgkXoJZj/0P3aqPtmSytM9xn5Oqxc524A7PgUIm9B4+FQ34Y6pnnN5f9kFniPMvLHmFtWNyO2fyKz8Fti5wgjlthURihHaDxCHge/tEmauXVGVsTon8rfLy4Szv4jp4wvbjYs8yZM9lwq1SPDbG0KRYGg0XAZZRt5455IQ+B0aC5U+vZ+u30GVsByjaFSmzwYZB7g6CbLSLZ+RmYpqNhK1qZW5C4lqkO9/nDqr7TyXd9IpdxgFsEwOCQyEKJDcf7nhVwaaOYooFXI84GYu9LfK0UBTOHAPOj0Kjg4G672wBNxQ5bHiUjOY3XuH+n7ltcRdOmx/TPYmirFwtn1clokLxy898+FbR8ZLNDuRwHnJb0/lVYOy7JOR36VDznXklLxO7suwzqtCbUeIdaxMGTzUhQJ7J3AdyJsmpFG7HByGfR8S6brCAuEk3/p1/WdVPgiucs2zN2ydwo97V/QK4Ghl+DUKhnEZ4GhEhh+FZaNxC7cWlG1vEV5PIOMJPt9lLHDf1y4VIwKI2Yz/Pn0fQUwhX9ehjtXjNexlYADsHc2BB3JXj/bPkmrAIJUgLblcpm2pET451VYZ8VNtdfHhj/6XMfRTU772Bu8lKyaDL8NhxMrMlQAMTkQ36oQTI8pihbNx8qUPanQEmPvRwLvnwuW2cfcyxTM2Q3Fg0f5JlC9q16+8yvpNmSBoU+g/3a4sksnzy+UEiiEfNBf3m69jUFEZaFg11dwaZteHh8pFQpzFpLoAuz8GuZ1h/WvwI+dYdUUSMhk7UaQit62D42X7Z0lp0Jyg+hQ+HWQ8bQSyEhF3wm5s21bKFMPHv406+uXrAUjFmMuaRm4r1AUcFyKQ4sxevn+HyHqtrHbRsunVK48Rc7R3mAaN/iYdLuxoIKHgU9gfMHwBUxBKYF7ZhrfOFJzfgNEheTJcPKMq/tgywfWl/v/BwcM8mxlxOm/YZNFaecjv8D8nnDH3/Z+tn5kZRo2GZEEa6dlXVG1xs3TMLeL9ZeCRiOg24yc3WZWaDZKViaxFY/yMs3B09th8n6o9VDujU2hyE1aTwSThSdTTCgsGQaxd9PK7Zyk9VChyCmqdJB5RC3Z+bVOZBQYcsvOjrgC5JlQtJXAM+tgw5sZtzMnwsmVuT+evCI6VKY70RVtsWDj23D7gu393jwDf1qxkF0/KkugnduQcT9bP5IlvTIiYB8cXWL7+DLizFr4qbt1ZbXxo9IhuyDkjdM06PuVrCpiDefiMsnpmLXwwklZgaB8k8LnG6UoWhSrAA2H6eXXDulljYaCe6ncH5Oi6KBpxtZA//+kG1QqnOycKO2atuKL0DSC7AtOOEYBeJrlE9ePwR9PAfp5fErV1cuyOyUceTPnrVZZQQhY/SyE2eCUmhgjM9WbM1AWQQbWLH1MTiVbI/YuLBkqLZBGfQoBWz+0rgAa+cFt+J9UarOD2QzbP7U+fs0EPT+QJZ7sMqwCnHc4e8rKAK4l7svsXaDBYJm4evp5WXauSvuCobgqFDmFQboYQ1pPzN1xKIomtXtDydp6+c6vdCIfpxI6WaBSAvOZ8OsyEjjBILda6wmyjqMlgfsh5GLWtjW7PXxeEz6vAZfS8T3MCw78BGfW6OU+LaXVyJLA/bD7u/T7NJth5dOylJkt7PgUFg9JO8V+TwH8xHidluOlYmNJTChsfse27RoRFwnLR8NWK1PjzsXg8eXQdkrBtKCVbQgT98j0MMMXw0sXYMh8qP2wrI+rUBRGytQjoWq39NtU7Zh36ZsURQuTCdpP1cvPrpUuRSlE3MAnWJ/M/5q9fcbXbx5R9JTA+CgZQRlhUJ2uRg9p8SnTAErX0y8/vjzz21s5HoKPy7+jQ+C3R2VIeX5w/Rj8+7pe7lxM1rzt+QF4VdUv3/pB+lUptn0E5//Vy72rQTErSZQvboEfO8kpHCHkNnZYCXZo9TT0/gyqdzH2gzu0UGeGt4k7V2ReyNOrjZeXrA3jt8r6nQUZjzLQdCTU7StLoCkURYD4lhkEZxWG5NCKgkuDIeCpj/5l1zfyOz4KlgzDJzpM1ySwRGXi2hWMAmlFSwlMsVhdP6pfVrqetKDY2UuLT6Ph+jbHlhmGgVvl8n/STyA1CVHSb86WKdacJC5SVpZIitcv6/edLDXk5C6nPC2zoifFw5/PyFQ6lpz+21h5c/SAR5fJ7PbVrbzxhAXA/F6wbCTs+My4TatnZCRsihXuoQ90KSJAyCCRJH1CZKtc/k9GLt+wEmFc62F4apNKwqpQFFCSKrTmjqsVn1ivqlBTBT8pchF7R2O3hOPLpV/5iifhuh8+ifrnUqBPE30t4nyiaCmBm2cYT4W6lYbHlkkfqxQaDkWnDIVegsCDtm/PWi67gH2w62vb+8kJ1r0EIQZBHi2elFnQU6jcRtaotCT4GPz3RVpZeoEgg36Upc5cveV0aqdX0R1PkAqm0TkBOTX/8Cdpp2E9ykJXg2Ce4GNwcJ5xP6kxm+V+LOqnTwyeQocXZSWQ1NeDQqEoWGga58v0MV7mO1H5wSpyn2ZPgItFwn1zojRuJOcXrpCgN/gERt/Mi9HZRNH5lRz+5b6ZNjX2zvDob/rar8UqGFeDOLbMtu1d/g+u7LS+fOuHxhbJ3ODoUuMo2jIN4CGDPHxd/2fs9Lrjs/vJn9MLBOn0KtTpff9/kx10eU0qg87FbRtz64kyIbORH17Lp4wz5W95HyKCrfcZHSpdATa/C8IgSMfeRVqDu72lHiAKxQPA9WLNSfKysAY6F4Mmj+XPgBRFC0c3+cJhSaoCDEaWwGuR1xCZmVXMRYrGk+78Jlgz1XjZgFngY5DzB4ynhE/8AYkGU6qWZFTRwpwop6YTYjLuKzvcvgBrpunlDq4w5GfjcngOzjBwFmgWtRDNifDnRDlma4EgtR6GTq8Yj6VmD3hmB5Rrkv6YfSdBr4+sB2LY2UMffRQWceHWU/4EHIDZHWTORyM8feDJf2VkrUKheDDQTMT0nQVOxeT/do7SvzkvSkoqFCCNEg5uVheXTErCySIzSGRCJJEJ6WTSyEMKvxJ47bAsCWc28Bfr8mb6pb/q9tOnJYkJNcwMnoaMrIAp3DojrVK5RUIsrBhjHAXd+3M5XWuNCs2hg4HyeOu0zPdnFAhSoiYMmpO+Fc2rMoz7F5qNNl7uO1laJzOKxK3Y0riP48vTRmALAXt+gJ97QXigcV+V28HT22SReYVC8UBhLlUPpp+DcRvg5UvyZVOhyCtcvaGF9YTkJqCCs75G+63YW7k4KNsp3Epg6CWZRd5ICWo0AjpmEJ3j7CnzAVmS0ZSwkRWwZG0oYzCFufcH49JtOcHG/92PTE5Nw2G2TZd0fNl4zLfP6mWOHsl+dMUy7tfBGfp9K9OaOLgmCzVoP00GftiaiqX7DL0/BsDaF6W1NuauDDr59zXjlwCAdlNh1GqVUFaheJBxcIZKrZUFUJE/tJkMJis5ZFs+RYVS+ufojZgbuTwo2yi8SmDkLfhlEEQZaNtVOkglxBZlw2hK+Mw6iNWHfQPWrYCdX5HBEkYRQX9Ngpgcrie482tZT9MS72rQ90vb9t3eEQbOtn5xpyYlECQzNB0pK1mMWAKT9kL3tzOXi8/VG3oYWFJDzsO6F2UKGmtBJ87FZfRyj3fk9LJCoVAoFFnBszw0HqGX1+wJvT7Bx0OfSuZ29O08GFjGFE4lMC5SVqa4c1m/rHR9GLHY9oLiNbqlrcgAkBQHp6zkljNKdlyyNtQbAGXqQbe39cvDr8no3Zxi9/f6+r0gFdAhP2fubblsA+j8avptLANBMoOrN9TpA6XrZG39Jo9DxdZ6+eFF1su/VWgOE/6D2r2ytk2FQqFQKFLT7W0oVvH+/5XayuetnT0+7nol8GZswYgQLnxKYFKCrACREsWammIVYeQK26YsU7BzMA4WMJoSNsoLCNDpZRkhCzLooYpB1PHx5XB8he3jssbe2bDhDeNlPd6VtWMzS7upUnEyIr1AkLzAZII+X+qDWKzhOwnGrtdHgysUCoVCkVXcS8kZrcHzZHWrMWvuJe+v4FFB1/xmjFICcx4hYPVzcGGTfplzcRj5hzTbZhajKWH//9DCr6WVWbMC1h94/3+TSUYkOxnkoFs7DcINKpnYyoGfYL0Vhaz5GJl3LyvY2cOA2fogGVsCQfKCsg0y3jen5Dq7vT5S5dQUCoVCkfM4uUPDIbJsp+m+YcLIEqgCQ3IBxyPzjfPh2TvLZNClDHLf2UKF5uCtrxzhcGbV/X9ssQKmULyijM61JDZM+geaDXLYZcShBTIgwoimI2VKlezUvi1VC4YuuF+to3Q9ePz3zFlVc5Mur4FHOeNlZRvK6N/USbEVCoVCocgDjHwCQ2JC8mEkegqXEnjcQAHUTNI8W8k36x1bKSPncPqP+2XkbLECpqbRMOknaMmlrXBgbubGd+RX+Huqle2MgEe+zRlrXe2HZQqGqSdg4m4ZZFJQcPKQ5eUsaT4WnlTl3xQKhUKRP7g5uOFtkSYmiTwuHWuFQqUEGtL7c6jbN/v9NBqmE9mFnMMz5ip2AXtstwKmoGnQ9ytwL6tftvEtuLLHtjrFR5fCqimAQdsGQ2DAD9bHkBXsHaUlMztWxdyiXj8Y9BP4tIJKbWDYL/DI18YJsRUKhUKhyCMquOv9AgsChTs3RseXoeWTOdOXd1UZhRqwL424YugunPb+o29fspZ1K2AKrt4wYCb8ahF4khgrkxt7lIea3WWYedVO+lq2x1fAXxMxVADrDYCBc3JWAXwQaDRUfhQKhUKhKCD4uPtw/LZB3t58pvAqgU2fgC6v52yfjYbplMAqIVuwNxuUkev0im0KWI3u0HK88RRwRJBMdXJ4EZjspXWrZg+pFN46I0u3GdXArfsIDP5J5b9TKBQKhaIAYOQXWBAonNPBNR+Cvl/n/JRl/UG6xMmGCqAtVsDU9HgXStRIv405UU45b3wLfvCF5WNAGPgU1HoYBs+XqW0UCoVCoVDkO0oJzCsqNIehP+eOFczVW1rhMsJWK2AKjq7JSZyzGWlbsycMW6hSoCgUCoVCUYC45xMohG3+/nlEoVICkzx84LHfwdEt9zbS2CBnYGoyawVMoVwjePYg9HgPqna0rVRbaqp3lYEQtlZCUSgUCoVCkSekWAKrX4eFXybx0oqCER1cqJzGYnt8DG4lc3cjNR+SFrs4K7WDM2sFTI17aWj3nPzERcCl7XB+A5zfKP0DrVG1o6y/q6JgFQqFQqEocJRxLYO9Zk/J8Hhc4qFsRH6PSFKolEBhLVlwTuLgDPX7y2ANS7JqBTTCyUOmtqnbV5qOb55KVgg3wdU99/0Ba/eWQSAOLjmzXYVCoVAoFDmKvcmesm5lKRl+Nb+HkoZCpQTmGY1GGCuBHdPJC5gdNA3K1Jef9i/IyiLBJ6QvYfmmOb89hUKhUCgUOYqPhw+lwq7k9zDSoJTArFCpDZSqI9O0pFCqDjQYlDfbdy4GVdrlzbYUCoVCoVBkGx8PH0qG5/co0lKoAkPyDJMsRZdUvCqA/H70t6KXmFmhUCgUCoVN+Lj7UDK84EQGg1ICs07ZBkSN3c4/Db4natyOglVHV6FQKBQKRYGigkcFSlqJKc0v1HRwdtA04h08M26nUCgUCoWiSFPRvjSmmPweRVqUJVChUCgUCoUilykbVfDsbkoJVCgUCoVCochlnG4VkOSAqVBKoEKhUCgUCkUukxh8Pb+HoEMpgQqFQqFQKBS5TEKQUgIVCoVCoVAoihwJ15USqFAoFAqFQlHkKIhKYMELVVEoFAqFQvFAkhSVQHxABPEBESQERYJJw61paZzrl0DTtPweXr6SEBSU30PQoZRAhaKIIIQgITgazV7DoZRrfg9HoVA84IhEM/FBkfeUvviACJJCYnXtYk+G4ODjTrFeVXCu4ZUPI81/hNlMorIEKhSK/EAkmLm96CRx5+8C4NKoJPa9yuXvoBQKxQNH4u0YIvdeJ/5KOPFBkZBkWxm0hMBIbv90AqcaxSn2UBUcK3rk8kgLFkkhIYiEhPwehg6lBBogzIKkiHjsiznl91AUihwhfFvAPQUQIObYbezjE6B4vg1JoVA8YCTciubmd0cQ8eYs9xF34S43L/jhXL8ExXpWxqGMWw6OMOcRCUnE+YeTeCsGO0/HLE9rF0R/QFBKYBpEQhLh2wKJ3HUNEZuEQ3k3vAbWLPRvLCLRTNylMJLC43Gu7YWdh2N+D0mRgySFxxO5I1AnTzwTRsUyrghRsAqaKxSKgkn4ev9sKYCpiT0ZQuypEFyblcGzeyXsvZxzpN/sIsyChOtRxJ6/Q9yFu8T5h0Hi/XukUy0vSj5RD80hc3G1BTE9DCgl8B4xZ0O5u+oiSaH3/RkSgqK4OfsoxftUw61NuULn1CrMgpijtwjbeOX+ftubKNajMu7tK6DZFa79LaqEb7qCSDC+cZe+4Uz8zhvQp1gej0qhUDxIJIbEEHMqJOOGGtiXcsWxogcOZV2JPnyThOtRxm0FRB+6QbTfTdxbl8Oja0Xs3PPeCJF4J5a483eJvXCHuIt3MUclWm0bd+4OoUvP4P14XTST7c9IZQksoCTejSNszUViTli5uJMEd1dfJM4/DK/BNTE5PfiHTAhB7Nk7hK/3JyHY4seZaCbsn8tEH7uF1+CaOJZ3z59BKnKEhJvRRB0MTrdN3H83iCzpgXtr5SOoUCiMidwdBAaTBiZ3BxwreuBYyUN++3hgcr7/nHRvV4GY47cJ33iFxNsxxp0nCSJ3BxF94jalnmqIQ+ncD1wTSYLIvUFE7blufVxWiDkZwt1VFyg+oIbNxqGE6wUvMhiKsBIoksxE7gqSVhIbzNsxx26TEBRFiZF1cShbsH0Y0iPuajhh/1wm/nJ4uu0SrkVy83s/PDr54Nm1UqZN3zlNYkgM0X63MLna41zXG/viBWPqoKATtt4fbJi9ufvXBezcHHBpUDLXx6S4j0gwE3X4BgnBUThXL66Ov6JAYo5NJOrADZ3cs0dlPLpWTFcR0kwaro1L4dKgBFGHbhCx6SpJ4fHG2wmP5/aCk5Se1DhXLYLCLAhdeoaY47ez3EfUvmDsPBzx7F7ZpvYFMTIYiqgSGOcfxp0/L5B4IzpT6yXejuHmTD+KD6iBW/MyuTS63CHhZjRh6/2JtcWcn4JZELE1gJgTt/EaXBOnKvkzZRh9/BahS8/ej0JbfRGnGsVxa/F/9s46vK3z/N/3EYMtycyOY4cTh7mQpk1ShhRXpq3t1q7tto7xN+q+g/LadSszp20KwQbbMHNiO2YmkcU6vz8UO5bPkS05Tuq0uq8rl5z3oKSjc573gc+TiX5MytduoA5WPOVW2e9blWGQXvsitLx5kNQ7xqErspyaE/yW42910/Lafny1IW+8c0MdiefmYV5Q8PWeWJw4PXBurkf0BsLGBLWChBjSpASlgoTpWRgnpePYUId9dRXBDmnYNdDqpuXVA6R9t/ik3NtFUaT9w5KYDECFUU3QKa3sta2oRJGgIWFm31GUeE7gICDg9GH97Cgd26Qzmu5oC82oUvU4N0vDaKIvSNu7h/EctaKcm36yTnXA8Ld7sC2voGN7g6wrP6p9NLlo+s9ujLOyMF9Q0GtIPOj2429y4WvqINjhR5OfiDbf1M+zB9fB1nADEEAEz5F2PEfaEfQqDBPTME7NRJMTD113Iooi1s+OSsaVZg3p906k/cMSOrY3hi8MiLS8sp+0u8fH0wBOMu4jbbS+eVDyELR/UYU6w4BhwuC/t8T5diAeC9X2xDA1A4VBHfP+BLWSxLNzMU7PxL62Gsf6Gkk0zltho/X9wyRfN3LAc/Ftyypkn+3h56hAM9SMbpgF7TAL6kwjji9rsX5aJlm3/aMSFEYVhuK0XvcZzwn8munY1UT7RyWyM49OFAlqLBcXop+YhiAIaIvMtL1/RDZc3LG1AUWlFW324PVC2dfXYF1yNKyySQ5NXiKmCwoQ1Ara3juCv1HeQ+rcUId7fyuWhcNQZxrxN3Xgb+zA1+TC3xR6Dcq4+RPOyMZ8cWFMSbQA7tJ2Wl470KsOlejy49xQh3NDHeosI8apGegnpqM0xn5z+ibh2tuCt9IuGTfNL0ChUZJ01XC8Vhf+0vB1RE+A5hf2kv79CahS9KfqdL81iKKIfU01tqXlESdlbe8dQZVqiE9qokQMBOnY2Yi3yo46JwHDxPSY7zVxIuPa10yg3RM+KIRy/U4EhU6FeUEBhskZND29U/Jsdu1swp6qjzrcGg329TXYV1XJLlPnJqAbloR2uAVtvknihUw8K4eAw4tjTQ+lBRFa3zqEwqCOGEUJut0EWlvDxxgc1+g33ggUgyLWJeWyEhldCGCcmYV5QQEK/fGPxDAhHXVWAi2vH5ANHQcb3YxuMePNbsE/QYvSpBk0FcSecivWT6Szlu6o0vSYzy8I0z3KuH8StlVV2FdXyRpfAauHlpf2xXQuji9r8be4Sb5+ZNSFNd4qOy0v7wd/9HIEvjon7YvLaP/sKPoxKRgmpKEdkYRCo4zpfE93xEAwZGT0QJ1pwDA55GESlAr0C4dQ95+dJDjCv5Ogw0fTC3tJv2dCXC5oAAl6/LS9ezhyEdoxRF+Qllf3k37fxK+lUvJ0QfQHSa3X4njmIKLteKjOV+3AclnR13hmxwk4vHhK2nEfCUmNiL4g6kxjyMNUZEGdZRz0BqtjXY1kTDcqGXXqwEwS1al6Um4aQ9PzeyTPHNuKSlSpegwTT9wz3rGjMeIz0XxxIYln9W3Umi8oIGj3Ro6i3DVedvImFwpu1w6OSd432ggMdvhoeesQnsNtEddR5yaQdMUwNLnyWoDqdEMofLaohI4djZLlyoCA+7Nq6j+rDlVJ5SSgzkk49pqI0vz1GIaRZjsASpMG0/whGCZnSGRghGMSMYbiVFrfP4KvSupN6g/ug600PbOblNvGorL0LsLtrXPS9MJeSQ4KhNz0keROugiIuPY049rTjKBWoBuVjH5cKrpRSd+I6u6+cG6ul612M104NOyBI2iUlIyyM/loJsGW8Jl+oMVN80v7SPtecVilX5z+4WvqoOXV/fgbo6tCDLR7aHn9WF6UcvBGG7oj+oK4D7cSdAdCKTUnSfdN9AVwbK7HsaqSIQ4jIuG5Wo6vajFMyfhaPKmiP4inwobnSBvuI+34ahySdTw2b9czSWFQoS0KGYTaYRZUKbqonheiKGJfsQL33n0YJk8iYc6cAX8vAJ4KG16ZZ0DCmSfmBeyJttBM0pXDaXv3sGRZ67uHUSbp0A45gbSiQ620yuwbIPGcvKgMQABBEEi6ajjBDj/ug+GePdEToPlF+SiKXGVwm25w6A9/Y+/uvgYnLa/sxy/TxxBA0CkxX1CAcXpWnzMxhUZJ0rUj0Aw10f5xacTwatDhw32oDfeh40anwqjuMgp1wy1ohppPulHoa3CGnUMngl6FaW5eKJlX3bt3TJ1pJP37E0IV1MvK+za8ojmveieN/95B6i1jIwpw+5o6aH5+D6JLGrZX5yWSduc4vDUOOrY24Nrb3Od5ib5gl0GISkA3Ihn9uBT0o1PCvL7fFIIeP7YVlZJxbZEZ3Qhpz86AWsRwfSGuV0sJWMND+b4aBy2v7ifl1rHfOm/qQOLa10LrO4cQPdJJDYB2mIWgwyeRa/IetdH+SRlJlw87FafZb8RAULbqUzPUjHFyOvri1AGZSAQ9AZyb6rCvrSbo6L39lm1FBam3jj3hY/aFGBTxN3WEPH1H2vCUWWO6VwY7/MfvT4DSrEVbZEY7PAn9mBQUWvnfXdNjj9Py7LMAtAAZv/wFybfeesLvpyeO9VIvoDrbiLZw4IsEjVMy8De7pA6MY1629HsnokqOfWLhqbDR+toBCEqf28bpmZjOjy3cLCgVJN8wiubn9khSbiJFUeQqg1t0g0ObVfgmdAsQBGEssHfjxo3MmDGjz5uufmwKliuG9SvU5a1x0PLGAdkm2dGQcGYO5ouHnlRDsPW9w3RsDS9+USbryPjhpH4ZPv4WF22LSvCUtPe9sgCqZB3KJB2e0nbZvCdBrSDp2pEYisPlMPxtbpr+s5uA1SPZRp1pIO2u8WGJyEG3n45dTXRsbZCdrfaKUkA3zIJ+bCqa/ERUqXoE1enhcekN67Jy7F9IvcDp902UeLttNhurVq1i7ty56N0qmv6zSzZnVlNgIvXWsd9Io/lkIgZFbCsqZL+PThLm5GJeUEDA6qHxqR2yn3/SlcMxTs+M/riiSKDNQ8DhRfQEED0Bgp4AovfYa/cxXwClSYtudDLaoeaYQpNiUMS1uymk/9bb/VAloB+dgmFSOrqRSTF7NoNuP44NdTjWVfea092T9HsnDmi3p06Dz1vjwFfjCL3WOgasg0ZPFAlq0u4ejzotXDMv6HRyePYZiJ5u90m1msKPP0I7dOiAHd/f6qb+H1sk9/Cka0dgnHxy1DHEoEjrm/LSLap0PenfnxjTfchX76TxP7sR3dLrRj82JWbB5+4EO3w0/meXrHdfnW0MPa+OTX6anniS5qefDlvnqcwJPL3mbYBxoijGlmM1gHyj7uqiGLrpynlCABDAdH4BiXNy+22EaXISyPjhJFrfPYx7XwxyK8dwrK9BadaQeFZuv47fFwGbVzZsnXhmTr8f4qoUPal3jqNjawPW5RUEbV4EjRJVuh51mgFVmh5VmgF1uh5VynFjyrWvhda3DkpmxqIvSOvrB/BfcPy7CNi8ND+3R9YAVKXqSb2zWFKJptCpSJiRRcKMLHwNTpxbG+jY3ihbyi8hIIZ7bZUC6jQD6ixj6F9m6PV0yokL2Lyy+Tv6CWkR0x06UacbSLl1LM3P7ZF8X95yG03/3U3qHeNOq8/j66SvVBRBoyDp6hEYxocqClXJOpJvHE3z83skuo5tH5WgyjD0GQ4TAyIdOxuxr67C3xSb+K1jfQ0KkwbD+DQME9NQ5yREvEeKooj7YCu2pRVSsXk5/MfTMxRGFfrxaRgmpaPJS0QQBERRRHT5CTh9BO0+Ak4vQYePgMNH0OalY2+zbGSgL6zLK0i7Y1zM23Xia+zAW2UPN/gGICISLUGHj/ZFJaTdNT5s3H3wYLgBCODz0fCXv5L3v/8OmINBThxakajpumZPBoJCIPnaETS2eySpSP5GFy1vHCD1trFRTST8re5QWpGMAagtNJP8nVEnlI+pMKhJvaOYpmd2SqMotU6aX9hL8g2jUFl0spXBrdp4OHjA8ayoxRYhTCDolCR/ZxT6UcknfByFTkXKTaNp21VLxRf7yVAkEWxy91rF2h3rZ0dRJelOijCs46tayXkIehWGqSc2cxMEAeO0TAxTMhC9AQStss+bjX5sCmn3TKD55X2yVcO2JeX4m1yYzy+g6fk9st4EpUVL6nf7Nj7UGUYsFxdivqAA95F2XHuacR9oid5zEBDx1TtDD7Udx4cVCeqQQZhpRJ1tRJOdgCrNMChb6sm2h1MKmM8viGp77RATyTeOpuWVfRJDxFcXaqGYdmdxv0Iy3yZEf5CmF/biq5bmg0FoUpNy82jUGeGi87oiC+aLC7Eu7pG8HhBDhSI/nITKLM2nFQMiHTsasa+q7N0j1wdBmxfH+hoc62tQperRTzhmEHbzRLlL27EtLZetPI/qGM7j1fxKsxZEkYDTF/W9syciIupRFvSZplAxWzc8h9vwVNhiziULevy0vHYAz5H2fp1TT1TpBnTDLWhHJKE0qvGUWnGXtuM92nfo2FNmlbwH9969sus616/H8cUXJJ533gmfc0gcWiqjkjA766RHTAS1ktRbxtD4752SqmTPkXbaPy7ts1NHwOGl+fk9ss8ddU4CKbfE3vtXDpVFS+qdxbJRFG+lnYbHtpO0cLi8Eajrf47jQPKNMgL9Rx2QJp2lqNL0pNwyRuJWPxEEQUBVmEhlRQdFc2eQaEjA19BxbNZoD80c653y+YMitL59iDSzdkDDFUFPAMdG6cWWMDNrwHK6BIWAEEN+jyYngYx7J9L88r4uUdzudGxroGNXk2wVsCJBTep3i2PqDiIoFehHJaMflYwYCOIps+La24xrb0t0HsIeBB2+UBPx7qFwlQJ1pgFNdgLq7ATU2SEj8evMm/M1dsjftGdlx2S06Uclk3z9aFrfOih5MAda3CFD8I5xJ61rTtATINDuRmFUn7aVsdYl5RENQN3oZJKvHRnRK58wOxtfrVOiZRp0+EKG4N0Tuh5eYiBIx/ZGbKuqwnqeDwT+Zhf2lZXYV1aizklAPy4VT1l7VIaR0qSJ2BGiO3Je/6gRQDXawi51BbMunkiiMYGO3U2Sz8G2vIK07xbHtOv2D0tPyABUGFRohyeFDL/hSRLDXZObSOKcXER/EG+lHXdp6P7irbLL5q3ZV1eh7Zbf6NobOXLY8NeHMZ5xBgrdiU3UnFsaJOlUglqBcfqpaS2pTNSQettYGp/ZJTkP56Z6RL+IMlGN6BcRA0Hwi4j+IGIgiOgX8TU4ZVO2VKl6Um8fO6DFbr1FUUR3gNY3D4JmKqh2gv/4OcWNwFOEblQyyd8ZedIrHAWVAs2xAhAjofwdMRDE19CB48tayU1d9AVpfnkf6T/oX7KrHM6t9VLXt1IgYXb2gOy/vyjNWtLunkDr24fkO5bIGYAGVaiH5AnIEAhKBbrhSeiGJ2G5fBjecisde5px7WuRnSFGjT+Ir9oR/qDvbJqebUQ3OgX9uNRT6i20LimXhG4EnZLEuXkx78tQnIpCN5aWV/dL8p2CNi+Nz+4m9faxJyQCLoe7pJ3Wtw8RtIe+G3WmEe1wC7rhSWgKTDEb2WIgiL/Zhb/FjUKnRJMn1f4aaNxH2mST6RHAdF4+iefm9xqCEgSBpCuG4T8WiuyOr9pB26IjJF01/KQZf3L4juXA9YV2uAXzggLUuQn4qh107GikY1cjQWfsodyIKMAwMZ3EuXm4tH7cq0JeU0GpwHRevqS61FPSjqesHW2hJardd+xukk2n6Q1Bq0STk9B1raqzE6IKMwoqBdpCc6jIYv6Q0CR+Qy22JeVh67kPtOKtc6LJCk28InkCAXw1NbQ89zxp990b03voTkgcWnoNGyafWv1VdaaR5BtGhSTJetzb+mr4IIfCpCH1znEnZXJ5PIqyX9aQVyaPxzj3t7i2PU+wNXTNtmpPcyNQEAQt8EfgZiAJ2A38RhTF5THuZzkwD/i3KIr39fd85Eicm4dp/pCvTYdJUCrQZCeQdOVwgk6fpKQ86PCF+iR+f8IJJ92LAVH24WOcnDEo8rgUWiUpN43GuuQojrUyD8luCBolqbcPrLdJUAhoCy1oCy1YLi3CW2XHvb8Fb60DX52zz2rDPhHB3xgSz+7Y2YQyWUfi2TkYp2T0WYl9oniOyreHSzwnr983bd3wJFK/W0zLS/skYQ7R5af5f3tIuWUMuuHSiuP+ENKF3Bc2k+4MzzvW1YBSQFtgCnlYhlkkD9qA04evzoGvriP0Wu/E19AR5s0U1KGHrm5EEtqRyVHLcURLwOmj9R0ZGQqlQMpNo9GPTolqP4JaQcrNo2l4cmeXQdxJx/ZG3IdaozKsVBkGlEZ1KHVDq0TR+apRImhVKLRKRETcB1pDubEyD69o0OQnYjq/IEwoV5OXiCYvEfPFQ3EfbqNjRyOu/a0x6X6GoRAwTskg8ZzcLvkNly28/7lhYjr2VVUSeSTr8grS7upblSFg9dC2qKTXdQSdCk1uKALQOelXJusG5Bmj0CpJPCsH58Y6SRjUvrqKlOtHEXA48B6VdgLqTsv//of5isvR5PYv79y1v5lAm9RL2x9ZGH9bGwSDqFKiu/Z7oh+ZjOXSopAqxwkg6FWk3TnupMkWQSiKkvbdcbS+fUiSIwigMKZhOOtneA99SnvpClzqr/+5DCfmCXwJuBp4DDgC3AZ8JgjCXFEU10ezA0EQrgRmncA5yO9XrSDpmhEnNYE1FgSlQPL1o2h6dpckJOpv7KDl9QOk3h5dsmskXHsj/HCj1D86FQgKActFhahS9bR/WCr/0FEpSL1tzICGyeXOQzvEFJZnE7B7Q4ZDnfP4a2NHv3OVAq1u2j8sxbaikoQzc0Ih+ZPgjQ44fbRHaA+XeMaJeYC1+SbS7h5P0/N7JZ5T0Rek+aV9JF838oR/Z75mF80v7e09Pyog4im14im1YuNYyK3QTNAbDBnx9r49u6IveLwYaHEZymQduhFJIaOwyBJRjiMaRFGk7f0jsudhPr8gagOwE6VJS8rNo2l6drfkGuzLANSOSMJ0Xn7UuXAJ07MIOH249jbTsbMJb7k1qhaT6kwDpgUF6EYnRzSwBKUC/eiQJFPQHZJD6djRiKfMGr6eWoEiUYPSqEaREEoFUCQc+9ukQVtg7nMyKygFTPPyQ20mu+E9asNT0t7rhEUMirS+e1i2AMU4PRPtMMtxg+8kKjsISgWJc3Jp/yjc6HHtbsI/fwiesv197kP0eGh4+G/k/fupfp2DY71U0043KjmmdCrR56P+r3+l/c23QBCwXH0VmX/8Y78+u4TZ2fibXbKt66JBUCtIvW2sJAf3ZKAttJDxwGTaFsn3JhYEBdpRl5KQNYF0r43B0EiuX08lQRCmA98BfiqK4j+Pjb0C7AX+DsyOYh864F/A/xHyKA4IyiQtKTePGXS9TxVaJam3jg0lu/Z4oHpK2mlbVELSVcP79SMRRRG7TEcU3ahk1OkDlwc5UCRMz0KVrKPltQOI7m75HkqB1JtHRx26GUiUiRqUiZqwB0VnONFX58Rb68RXG6oQjEWmIujwYVtSjn1VFQmzskg4I+eEPbMBpw/XvlC1pafUKmtMm+YXDIgHUp1hJP2eCTTLFe4EQnIOQZefhBn9yxUK2L00v7A35pBhsMPfZ+eNPo/d6sa5sQ7nxrqQp3GoGd3IZIzTM2IWFXduqZf1xmqLzP0W1tXmm0haOIy2945Et/6IJEzz8vsVplca1V2V9n6rB9euJjp2NcmGgZUpOszzh6AfnxaTB0yhU2GclolxWiYBp49AuweFTokiQXNCBnh39OPTUH1RJWl9aVtegXaYJeL91fFVrawEln5cCpaFvRchDDTGqRnYVlaGRydEQvqI7dJ8QEGtRvT1EMxeuRLH2rUknH12TMf2VNrwVtgk47Fcw2IgQO3Pf47ts8+PDYi0v/se+kmTsVy5MKbz6cR8cSF+qydmRQ5BryLlhlEnJDQdKwqDmuQbRtGxvZH2j0plmx4Yzfn8pamMS07ZWUWmv66Jq4EA8N/OAVEU3YIgPA/8VRCEPFEUI4tjhfgZoAD+yQAZgcpsA+n3TRq0fWOVZi0pt42l6T+7JRdGx9YGVCl6TP3I4fKUWWVv1olnnxwZmoFANyyJ9B9MpO39I3grbChMGpKvGo5u5IlXbw8UglKBOsOIOsOIYWJoTBRFAlZvl0HYaRxKemv2QPQEsK+uxr6+FuPUDBLPzo0pFzTg8OLa1xIy/MraJdW73eneHm4gUCXrQlXeL+zFV9ejuEeE9kUlBDt8JJ6TF9PDMujx0/zSvlOS19YnAbGrAMixrjo0kYzSG+1r6pBW9BJ6ACVfO/KEQoXGqZn4ap29ekF0I5NIPK9/xp8cKrOWxLNzSTw7F19TKL3Bc6QNBAHD5HSMUzNOuIuJ0qg+KfdpQSFgmp9P6+sHw8a9lXbch9vQy9xffPXOUI/1HigSNVgW9m9ifiII6lBY2Pp5edi4c1sDuKTh6pS77qL93XfxN4bnMjb85a8YZs5EoYl+0ikrDp1pRFsUnbCxGAxS99vfHTcAu9H66quYF17Rr89TUAqk3Dga197m0D1IISCoBASlIpR7rVIgqBRdY6gUKDQK1DkJX0uXKEEIpS9oC0w0PLke0S291+tO897Bk4DDoij2nDJsPvY6EYhoBAqCkA/8ArhDFEXXQP3IdBflDloDsBNNdgLJN46i5WWpDIdtaTmqZB2GCbGF1+S04dS5CWiGDo7E00io0w2k3TMe0RNA0CgHfQ9NOFYVbtGismjRjzke4gs4fXir7Ti/qpXt1tKFPxjyPm2uQ52V0JWnJc3ZCv0TfUHc+1rwHI0uRAdg7tEebiBQJmpIu3s8zS/tw1su9RTYllbgKbOSdNWIPtsCQkhGpeW1A/KeJouWlFvG4Kt34jnSjrukjaC9fzmbCqMKVZoBf1NH1N7GgM1L47O7SLpiGMapvYs0i/4grW8dkg1lJ181PCSDcoKYLx4a+ix6hFB1o5IxnZd/UlMn1GkGzPOHwPzYuip8nejHpqLONEo0DG3LK9CNSAozQjq/PzkVh+RrRnxtzxPjjCxsq6rDC/0CIv52i2Rdw4zpaIYOpfahh8LGvRUVtL70Mql3fS+qY/rb3Lj2SkOYCWflRN3KruEvf8X6wQeyyz0HDuDasRPD5ElRnU9PBIUQSj0ZJGle0aBK0aNQb6FjZzuakRcjCIOvIUF/jcAskA1nd471lYz0L2CHKIpvxXpgQRDSgZ5XQRGA2+PGZpM+oE4WTqcz7DVqslTo5ufgXio13lrfOYRb5UeVF13+QqDJLSk4AVBNTcFuH5i+v6eEEyjWHTRkqdBclY+yIQ3Phkb8B9ojG25Boqq4jBX1lBQ8mUq8UfwO+nP9aq8ZQnBROf4S6bXlOdJO/aNb0Z2XjXpC5DwxURRxf1yJT0aGQ9Ar0V1XgDshCMP0qIbpMYqZBJvc+I868B+1E6h0SB/aClCk6FCm61Ck61FmhF4Fo6pLkDhY58JfZsdfZiNQ09G7Ue0XaXvvCI6jrejm5USs9HavqpX9HtUTk/Hla/AN0P1Ic2UewVUqApVOFOk6tNPTUGYZcCPiPoX3vMFEb9ev6sw0fO+Fj/uqHbRuq0Y94rhXy72yVlbwWjM1FW+Uv6OThXpKMt4vw717yuRJCJoERO+xa04Q8OXmIowciWbSJLw7doSt3/z00yjnnoMyo2+dWPfqWoljQjCq8A/V9vlcFUUR27+fxvH6672u1/jyyyQPK+rzXL5JuKuq8B5cTaBxP7opd6IwDrw+8InQr7ZxgiCUAodEUbyox3ghUAr8SBTFxyJsOxdYCcwQRXHLsTGRKKuDBUH4A/B7uWVPPPEE+fn5MbyTr5eccj2ZdVIJFL8qyMFxNjz6vivphpQYSW0K9zZ4tAH2TrIySLzN31o0bgWZtTpSGrUoxJP3ZXg1AdpSfLSmeuhIkG+VOKAEoaDUSEpzZC+X1eKlotCJTyu9v+RU6MmslV73QYXI4TE2nIm9vwchCEa7Cr1LSUAp4jIEcOsDiDFMspV+gUSrCnObBlO7Go0v8sb2RB9lIxz4NeHvJcGqYsT+RIQePzS3LsCB8VaC8XbLXx8ijNpjwugM93N0GPwcGG8DIfL359L7OVBsQ/yavz+lT6B4uwVlMPz8PAc/wXvw49DfaWlUPPQTADR19Qx54gmEYLfnhqAkeOZNCIXTETqHhW7zn2O7FoEEu0pyrJq8Dupz+07XSF6xktTlfQuDiEolZb/8BYHEwdEt41SQ/8ST6GqOOXxUenTjv4M6fxaHmo4y74Vb4TRtG+cC5J4Aum7LJQiCoAKeAF7tNAD7wdPAuz3GioCPiouLmTx5cj93GztOp5PNmzczffp0jMbYK49EUcT1QQX+Q+FhHpVfQfGhFHQX5qIeZYm4fdDhw7H5AD1dGuaz85g77dR9DnF6J+jw4d3ShHdbCwxQn1HBrEY9yoJqlJnEbAOp/UipOJHrVzxXxLOyFu9mafgIwNyuYfw+Hbp5OajHHw/BeTY34amVyW8TwHhVIdOHn/oUBlEUCTa4cH1WTbBeeutKtKuZeDgdw1UFKLNDhVaiy4/jucOI9AhTKyDlO6OYkz34CrK+afR1/frybbjeCc/1M3SoODN7EqohCRG+P4HU60dzTubg+P7cQg3eLeG/MU3hXLwlS8HvwTJlCoVz53Yta6+vw/nW26H/KNTop9+DKqUYwh8x0aESGHnVNEYbejcT7K+/gS2SAahSgf94SFsIBJjU0kriZZf144ROT+r+9n/HHax+F+7tL/JkxjDmRpvfc5LprxFYB8iVC3WWCEbKYr4FGAncLQhCQY9licfGGkVR7Oi5YSeiKDYCYT7yzgeMXq/HZDr1DxGj0djv4ybeOJam/+2R9EkUXQFcH1QgTHJhuaxIVkfQuqFctkVc8pkFA1ZtF2cAMAGXpxBc4MexsQ7HlzX90iVUJuvQF6diGJeKOjdyb9dY6ff1e6UZ15hW2j44Ii++7Qni/rQKShwkXTkcT7kN2wr5W0PSwuEYp/Sef3dSMZuxDE2jbVEJHdulYsGi3YfztRKSrhiGYUoGrYsPIsrkKZrmF2Aa9TW+j28hka5fcVIiTRuapaLbXzZBaYf897dgCKYRg+f7M8zTUr+9JVzvUmNEXTAHX8kyTJMmhr13449/TOnyFQTa7ehn3osqbXS/j22cnIEls/dCvba33sb2+OOyy1LuugtEkZb//S9svOPDD8m+9wcIqm98rwqCbjfBtvAc8QACH6lVHLScuj7UvdHfb2EnMFcQBFOP4pAZ3ZbLkQ+ogS9llt1y7N9C4MN+ntdph0ITuU8iENLUKm0n6ZoRYfIlvbaIixuAgxKFXoVpbh6Jc3Lxt7gQ3QGCHj+iJ0DQEwh77frbH0SVokM/JgV1zsAZfgOFflQy2gcn0/5JmazxBOA+1Eb9o9sRffJhXtO8fIzTv/4Hr6BWknTNCNQ5CVg/LZNWYB/LE+zYLtW5A9AMNZM4Z/BW5H/bEAQB04IhND8f3mHD39CBv0HqZ9AMNQ06RQWVWYtxcoakJaRm2Hx8ZV+gGzcubFxpMpH2wENYl7ehShnW/wMLfcvCWD/6iPr/9/9klyXdfDNpP3oQf20tLc8/D91C1P66OhyrV5M4b17/z2+ACFituA8dQpOfjzpz4O9Bsj2D9SYCCiWKQVLE2l8j8D3gIeAuQhIvnR1Ebgc2dcrDHKsCNoii2Fmv/xbyBuIi4DPgf8Cmfp7TaYsyUUPq7WNpem6PbBVkwOal+fm9GGdmYb5oKAqNMtQirqew6SBoERenbwSFMKB9rL9uFAY1ydeORF+cStsHJbKCyZJ2hscwzsgk8bzBk8crCAKJZ+SgyTLS8vpB2X7TcgagoFORfN2JycHEGXi0wyxoCkyyFe3dEbTKE5bzOVkkzMnFubU+LOtHoTOjLjgT3ahRYesGO3x4G4b0u0MHAAJYLinsVWPWtnQZtb/8FcjUFFiuuZqMX/0SQRBQ5+SQcM45OL74Imydtjfe+NqNQMeXX1L70E8JtLUhqNVk/umPWK64YkCP4ZcxAhv1IWdOiuE07hgiiuImQRDeBR4+Vq1bAtwKFAB3dlv1FWAOx9JPjxmD4QJOdIVzj4qi+GF/zuebgDrDGFIa/6BEvr8u4NxYh+dIG0nXjJDVczJMSh8ULeLifDvRj05B+yMT7YvLouq/qhuTguXyUyvEGy3aQgvpP5xIy6vyMjY9SbpyWFTSOHFOLYIgYJo/hOb/7el1PcsVw05qS7ETQZ2qR50Fvh6ZFNpRFyHojhdYBRxemp/bK1vtLAYDeHa/hTJJRfKtt6IdNvy4AScCohj6rwCa3MRepXHsq1ZR89BDYd69TkyXXELmH/4Q9ptOuuEGiRHo/GoDnrKjaAuH9v0BnAQ6tmyh+t77EN2hohfR56Phz38hcd58lAkD11lEzhPYpLcAkDJIPIEnIlpzC6GWcTcTKvZQA5eIorh2AM7rW4kyQUPKzaNJumYEQoSQrr/FTdN/dsu2iEscRC3i4nw7URjUJF83kpRbxqBIjHyT0wwxkXL94PS8dKKy6Ei/Z3yfwtuGyemDpkVlHCm6IkuvYsf68akYJg7u709A2jtX0Fjo2NUEhPoeNz27W94ADPhwbf4PvvI1uHespPbBW2h98R+oUkR0w0NtE3Ujk9GPSkY/MjmiAeg+dJjqH95P9fd/AD6phzxh3nlkP/xXBGX4s8s4exbqIVJvf9tbb0b13gca1569VN3z/S4DsJOgw4FjzeoBPZavVsYINFgASE0YHA6bfhuBoii6RVH8qSiKWaIo6kRRnC6K4tIe65wjin1rY4iiKEQjD/NtoFNpPONHk6NWaYdjLeJOQW/EOHGiQT8mhYwHp6CXebiq0vWk3jpmQNranWw68wTNlxbK3i2VyTosl3+7dM9OR0wRxK6VJg1JVwxOb3R3vEe246/fJRm3r67C3+qm8dnd+Jukle1iwItr478J9NjW+v4HlF54EW1vvYUY6F2SyXPkCNUP/oijl1+OPUIVsPGss8h55BEEtdSAFBQKkq6/XjJuXfQhwY6INaAnBc+RI1R973sEI2ij2pf1LXMTC3KewIbOcLDxNDcC45xcVBYdqXcWY7m0EFR9f02JZ8e9gHEGF0qjmpTvjCLlptGo0g0ghHK00u4sRmEYHKGQaOjME0y9sxiF8XgGjaBVknL9qK+lLVWc2NAWmNGOSJKMJ1074rS4Fl379uI5LG3F5m900fD4dtnWi4JGScIMBYG2w7L7DFqt1P/h/1F+3Xdw7ZGGyz1lZdT85CHKLrsc+5IlEc/NMG0auU883mt7OsvChQi68HB70G7HuviTiNtIztfppOmpf1P7859jXfxJn8ZrT7yVlVTecSeB9vaI6zjWriXoklW46xe+OqkaQpOhMydwcFx38bvXIEZQCCSckYN2RBKt7xyWyMh0EmoRF73XME6cU4l+XCq6sSkQJGLnjdMBXZGFjB9PDVVq+oPoJ6R9owp8vukkXz2cpmd3429xh4ofLitCN0xqGA42/C0t+I+FFf3Nh1CljgxbLnqkxpCgU5J6xzi0+SZ0w16l7o9/xLP/gOz+3Xv3Un7tdViuvZa0Bx8gaLXS9PTT2D75VDbvrzv6qVPIfeYZFHqp+Ht3lGYz5ksvof3d98LG2954A8u11/TpiQ20t1Nxy614DocMWutHH9P6yitk/u636IuLe90WwFdfT+Xtd+Bvaup1PdHlwrFuHaYFC/rcZzT4ZDRRGztzAgdJODhuBJ4GqNMMpN8zAfvqKmwrKyEYXpGVeHbuoA9nxPl2IwgCDP7ob58ojWpM5+R93acRpx8oTVoyfjIVX50TpUU76PvMd+Led7yZhPfQ5xIjsCcKg4rUO4vR5CQAoJ84kaHvvkvbW2/R9NjjBOXaiYoi7W+/je2zz0Ih2j68bKqMDFLvuRvL1VfLhoDlSLr+eokR6Dl0CNeOHRh6afIQdDqpvPvuLgOwE/eePWHGqypJ3qD3t7ZSeced+GqkxZRy2JctHxAjUAwG8dfVS8ab9EkkaFUYNIPjhhgPB58mCEoB03n5pN87EXXW8dw/44xM9MWDqxdhnDhx4gxGBIWAJifhtDEAAVx7j+scBpr2E2grj7iuIkFN2t3juwzATgSlkuQbb6To888w9yKDErTbezUAVWlpZPzmNxQtW0rS9ddHbQAC6MaMQT9xomS87fU3Ip+Px0PVfffh3rVbfoVjxmvZhRfR/t57iD08lwGbjcrvfhdvWZn0vWRmkvG730rGHatXE/SeeDP7QGsrYo/9dKi0ONU6Ms2DpxI9bgSeZmhyEki/fxIZD04m8xfTSFo4PO4FjBMnTpxvKO694W1lvTK5gQBKs4a0u8f3WiCoSk0l+28PM+S1V9GOGBH1OShTU8n45S8oWr6M5JtuRKHtnxxS0o03SMZsy5bhb5a2nxT9fmp+8hM6Nmzsc7+B9nbqfvNbKq6/Adcxz2mwo4Oqu++RDYMrk5PJf+F5LFdfjSIh3GAOOhw4v/oq2rcUEbmikEa9BQSBrLgRGOdEEAQBdaYRlWXwXEhx4sSJE2fg6R4OBvDX7USZFP7oVibrSLt7QtQ5qoapUxn6wftk/PIXKHrpG65MTib9Zz9j2PJlJN96KwrdiT1zEs8/H2Vyj1Z0Ph/t74WHicVgkLpf/wbHipUx7d+1axfl11xL/R//RPV9P8S1Y4dkHUViIvnPP4e2sBCFRkNCt97LndiXLovpuHLIy8OEQtaZpsHz7I4bgXHixIkTJ04/EAMBnJs307FlC6JfvivOieBrbMTf0BA+qFKScmsx2uEWFAlq9ONSSL9nPKrk2AwLQRUSji78/DNMl1wStkxpNpP2kx8zbPkyUu64vc/Cj2hRaDRYrr5aMt721ttdn58oijT89WGsH30k3YFSSc6TT/RuvAaDtL3xhqw3T9DryXv2WXSjj/dUTlwwX7Ke/YsvEGW0EGNBrjK4syhkMHkC44UhceLEiRMnToyIfj8Vt92Ga+s2APRTpjDkpRdjypPri55eQADtiOFoMk2k3dl3VWw0qNPTyfnnP0i+9VYca9egzsomccGCAe2c0Z2k71xHy3PPhfcTrq/HvmoVpvnzaX7yKdpee026oSCQ/beHMc0PGW2JF15I49//ge2T6GRmBLWavH8/hWHypLDxhDPPRNDrEbtJwwStVpybN5Nwxhn9eIfH3pNst5CQJzBjEBmBcU9gnDhx4sSJEyNtb73dZQACuLZto/X11wf0GD3zAQH0Y8cN6DG69ls8jrR778Vy5cKTZgACqLOzZUOw7W++SctLL9H89NOy22X89jeYL730+H6OGa/5L7+MZlgfgu1KJTmPPYpx9mzJIoVeT8KcOZLxEw0Jy4WDG491CxlMnsC4ERgnTpw4ceLEiHXxx9Kx9z9AFEWZtfuHu1tlcCe6cSfHCDyVJN0g7SDi/GoDjX/7P9n10370I5JvkBaVABhnTKdw0SLSf/YzFAaZnEhBIPvhv5J43nkRz8ckFxJeuTJmQeru9NY3ONM0MOH1gSBuBMaJEydOnDgx4K2ulpUt8Rw5gnv//gE5hiiKXZWu3dGNGzsg+/86Mc6ahWaIfCu/niTfeQcpd32v13UEtZqUO24P5TdedOHxBWo1mf/vD5gvu6z38zl7DkKPjieBlhY6tm2LsEXfyFcHh8LBcU9gnDhx4sSJc5pi+0xepgVCPXEHAn9jI4Ee0imCWo1u+PAB2f/XiaBQyHoDe2K55hrSH3ooahk0dUYGOY88QuHij8n+v79R+PFHJF17bZ/bKROMGM86SzLe35Bw0O0m0NISNhZAoEVvRqtSYBkkLeMgbgTGiRMnTpw4MWH77LPIyz75RCIS3B/kQsHakSMlHqvTFfPChQi9VB2bLrqQzD/8vl86uNrhwzFffjnaoUOj3kY2JLx8uUSAOhrkvICtehMBhZIss25QafvGjcA4ceLEiRMnSjylpXgOHoy4PNDejn3NmhM+jks2H/D0DwV3ojSZMPeQpunEePZZZP/tbwjKU9daLWHuXOhR2e1vbMS1a1fM+5KrDO4MBQ+mbiEQNwLjxIkTJ06cqOktFNzJQISEZSuDvwFFId1Juukm6GHo6adOIffxx0+5x1NpMmGcNVMy3p+QcG9FIVnmwVMUAnEjME6cOHHixIkKURSxffppn+s51q7F3yMnLNbjfFMrg7ujGzmCzN/8uquqN3HBAvKeeWbAxKljxbRggWTMvmxZzBXf8t1CLEDcExgnTpw4ceKclngOHMBbXh4+KAgok5LCx/z+qEWM5fDX1hJoaws/jFaLtqgPPbzTkKTrr2f4+nWM2LqV3CceR5mY+LWdS8J550k8k77aWtz7Yqv4Pl0qgyFuBMaJEydOnDhRIVcQYpgyRbYVWvsJhITlpGG0o0YOaDeSwYTCYDipAtXRokpKwjB9mmTcviy2kLBcy7jjGoFxIzBOnDhx4sQ5rRBFEauMEWi6+CLMC6+QjHsOHsR94EC/jnUqO4XECUc2JLx0aUwhYb9st5BOT2A8JzBOnDhx4sQ5rXDt3Cl9uCuVJC5YgLawEN2E8ZJtrB9+2K9jfRvyAQcrifPmQQ8JF29FBZ7DR6LaXhTFXgtDMszaEz7HgSRuBMaJEydOnDh9IFcVbJw5E1VKCgCWhQsly60fL45ZM/Cb3CnkdECVloZ+ymTJeLQh4UBrq+Q771Bpcaj1qBQCqca4ERgnTpw4ceKcNoiBALYlUiPQdNFFx/++8EJp67G2Nhzr1sV0LF91NUGrNWxM0OvRFhbGtJ84/Ue+SnhpVNvKVgbrLSAIZJh0KBSDRyga4kZgnDhx4sSJ0ysdW7YQaJK2cEucP6/r/0qzmcR550m2bV+0KKZjyYaCR49GUKli2k+c/pM4X9o9xHOkBE/Z0T63lSsKaezSCBxcRSEQNwLjxIkTJ06cXrF9Ki0IMZ59NkqTKWzMfMUVkvUcq9fgb22N+ljueCj4a0edlSWb4xlNSFi2W4hhcHYLgbgRGCdOnDhx4kRE9HplH/6miy6UjBlnz0aVlhY+6Pdj+6RvgelOXLKVwXEj8FQjFxK2RRES9tXKycMMTo1AiBuBceLEiRMnTkScGzYQkMnRS5w7V7KuoFJhvvwyyXj7h9GFhMVgMIInMF4ZfKpJlDECPfsP4K2q6nU7uZzAxq5uIYNLHgbiRmCcOHHixIkTETmB6MS553S1OuuJXEjYs/8A7kOH+jyWr7KSoN0eNqYwGNAUFERzqnEGEE1eHtoxoyXj9mXLe92u977BcU9gnDhx4sSJc1oQdLuxr1gpGe9eFdwT7bBh6IqLJePWKDqIyIWCdWPGIPRoZRbn1BCpl3Bv9NYyLp4TGCdOnDhx4pwmONasJeh0ho0pEhIwnnVWr9vJdRCxLl6M6PP1ul1cJHpwIRcSdu3ahWPtWtn1g243gZaW8DEEWvRmIO4JjBMnTpw4cU4YURSxuXw0uGBrpZVPd9fx/rZqDtbbBvQ4sqHgefNQaHsX/DVfdJGkz2+gpQXH+vW9bhfPBxxcaAsL0Q4fJhmveeineCsqJOP++nrJWKvOREChRCFAWsLgEooGiAsPxYkTJ06ciHirqmh7401QCCTfeCPq7OxTclxRFFl9uImNZS002T20OLw0O0KvLU4PvoAIqGDn7q5tBAH+dPk4bpo55ISPH3A4caxeLRk3XXxxn9sqLRYSzj0X+9LwalLrog9lC0q8FRW0vfkWrp07Jct0Y8dEfc5xBh7Ld75Dw5/+HDYWtNmovu+HFLz1JgqjsWtcNhR8rCgkPVGHSjn4/G5xIzBOnDhx4sjib2ri6FVXE7SFPGzt771P0ZLPUSUlnfRjP7L8ME9+URLTNqIIf19ykGum5qJVnVgenWPVF4geT9iYMikJ48wZUW1vXniFxAi0r1qFv60NVVISYiCAY+1a2t54E2eEriKKhAQ0Q07coI3Tf5K+8x0cX6zC+eWXYeOeI0eo/c1vyHnkEYRjvYblu4WEfisZgzAUDPFwcJw4ceJ8YxBFkdZXXqXi9tup+/0fZDXLYqH1lVe7DECAoNVK+9vvnOhp9onD4+fZtWX92tbm9rO35sTDwnIC0YnnL5CEeSORcOaZKFNTwwd9PtrefJOW55+n9PwLqP7+DyIagAD6yZMQFPHH9NeJoFSS869/os7NlSyzf76E1hde6Pq/fFGIBYAsU9wIjBMnTpw4J5GW//6Phr/+lY4NG2l/+22qH3gQ0e/v175EUZSthHRu2HCip9kn2yra8PqD/d5+e0XbCR0/0N6Oo4fnB3qvCu6JoFJhvvRSyXjzE0/S+I9/4quu7n17vZ7Uu++O+nhxTh5Ki4Xcfz+FoJfq/DX+65Gua0WuZVxTl0Zg3AiMEyfO10ggKLKhtIVtFa2Iovh1n06cAcZXU0Pzv/8dNubeswfnho392p+3pEQ2+d21YwdBt7tf+4yWzUdb+lxHr1aQohXJNkuT7bedoBFoW74celTyqtLTMUyZEtN+5DQD+0LQajFfeSVD338/5uPFOXnoRo4k689/ki4IBqn98U/wVlfLt4wbxN1CIJ4TGCfOtwK3L8B3/ruRnVXtAJw7Kp1HFo74ek8qzoDS+K9HEL1eybjt889JOOvMmPdnWy4viit6vbi2b8c4e3bM+4yWzUelvXbvPruQ88dlkpagJSVBg9/dwapVq0gePoqbX9kVtu62yjZEUezK1YoVuapg04UXxKzXpxs5At3YsbJVvz1R5+WR9J3vYL5y4SnJuYwTO+aLL8a9dx+tL74YNh6wWqm+74dhqROdDOa+wRD3BMaJ863g7S1VXQYgwBcHG1l5qG9vS5zTg44dO2QNFwD7ihWyxmFf2FesiLjMuXFTzPuLFrcvwK4qq2T8+un5TM5PIi/ZgEFz3H8xOjMBTY+qyya7h+o2V7+O729qomPTZsl4NFXBcvTqDRQEjGefRd6z/6Fo6RJS7rwjbgAOctJ/8mMMM2dKxj0HD0boG2wBIGsQtoyDuBEYJ863gi8ONkrG1pZIvS1xTj/EYJCGv/0t4vKgzYbjq69i2qe3uhrP/gMRlzs39i/EHA07KtvxBsLzATNMWoakyLdp06gUjMsxSca3V8YeEvZWVlL1g3shGH58dW6ubBeQaDAvXIg6Ly9sTGE2k3z77RQtXUL+f/9Lwpw58QKQ0wRBpSLn0UeikkrqUGlxqEPG32ANB8evujhxvuH4A0G2lksNvi0V7af+ZOIMOLZPP8O9a3ev69g/XxLTPnvzAkKos0VAJvQ1EMiFgqcPTek1tDtliNR7FmteoHXxYo4uvBL3nj2SZaaLLup3aFmZYCT/hedJuvFGzFdcQdaf/8Tw1avI+PnP0OTn92ufcb5eVElJ5Dz5BEIfouFNektIvBJINw0+oWiIG4Fx4nzj2Vtrw+kNSMZrrR5aTm5+f5yTTNDlovGRR/pcz75yJcEYQsL25b0bgQSDdGzZEvX+YmFzuTRNYfrQ5F63OREjMOh0UvuLX1L7059JWsRBqFDDcuXCqPYVCU1eHpm//Q3Zf3sYy9VXo5CpMo1zeqEfO5asP/6/XtfplIdJTdCcsG7lySJuBMaJ8w1nU1nk3L8jtv55N2Ih4HDQ/N//Uf3gj2h79914ZfIA0vrSS7IVifTQsgs6HDj7aFnWib+5Gdf27X2u19+q497w+oOyxtuMPozAyflSI/BAnQ2np3d5HPf+/Ry96mqsH34ov4JKRdaf/oimoKDX/cT5dmK+/HKSbr454vKmQV4UAnEjME6cbzwbezMCrSffCKz/3e9oeuQR7EuWUP/b34WJq8bpP76GRpr/+z/JeMI552C68ALJuC3KkLB95Reh1hvdkQmFOjcOvF7gnhorbl94Pl6yUcPw9IRet0s36chLDveuBUXY1a0YqjshUe1XKL/uO3jLy2XXUeflUfDG65gvuyzq849znA6bl62fHWXT4jKcVk/fG5ymZPzspximTpVd1lkUkmkavJ7fuBEYJ843mEBQZGt55LDYEZtwUj1zntJSbJ99HjbW9NS/8bedmI5bHGh67DFEV48KWJWK9J/9DNMFF0rWd6xcGZW+n1w+oHmhNBzqLSnF39QU/QlHgVw+4LSCpKjy8abIeAPlvIr+1laq7/k+DX99GLGHFmAnposvZuiiD9CPHx/FWcfpia3ZxTt/3cKmj4+y9dNy3vj9RurLpBXf3wQEtZqcxx5FlZkpWXbUlAVApoyW5WAhbgTG+UYRCASpLWmnscJGMBgPO+6vtWHvJSRm9QpUtp28xEC5jhOiy0Xb62+ctGN+G3Dt2ycbwky6/nq0hUMxnnkGisTEsGXBjg4cvbQoAwjYbLKVv0nXXYt25EjJ+EBLxciJRE8fmhLVtpNl8gJ7Vgg7N23m6BULcaxZI7sPQa8n6y9/Ifuf/0CZ0Lv3MY48wUCQ5S/sx9l+3PvndQf45KldNFXZv8YzO3moUlPJffIJFGZz11hFYgZbMkYBg1ceBuJGYJxvCKIoUrKtkdd/u5FF/9zOuw9v5a0/baZsZ9O3OgdtUxSdF05mlXAkweG2V1+VTcKP0zeiKNL48N8kIVuF2UzavT8I/a3RkHjeeZJt7Z9/LhnrjmPNGtlOGbriYowy2mgDGRKO5LXuKx+wE7m8wO2V7V2TQeeGDVTecQf+RqlcEoB21CiGvv8elquu7HclcBzYtqRC1uvn6fDz8eM7aa37Zv7u9cXFFH78EV+dex3/Kb6cB+Y8QFARKgbJHKR9gyFuBMb5BtBUaWfRv7az9H97sbce92q11Tn5/D97+OAf26g98u0MP/aWD9jJloqTE6bxVlVF1JoLWK20v/feSTnuNx378uV0bN0qGU+79wcoLZau/5sukoaE7atWE+wZQg7btzQUnDhvHoJCgWHmDMmyjg0bB2ySdaBO6rVO1KoYnSXVAJRjVGYiBk14BabV5aOs2QFA83//CwFplTxA0s03U/D2W2gLC/tx5nE6qS+zsuXT8ojL3Q4fHz22A2tTx6k7qVOIOiODT8fN56Ois/CoNF3jg1UjEOJG4Dcee6sbW7PrG+kN67B5+eLVA7zz8BbqSiIbMvVlNhb9awefPLWL5mrHKTzDk08gEKS1zknlvhZaasLfWyAoyuZY9WRLRftJuT76khlpefGlfnWy+DYT9Hpp/Mc/JeOaggKSrr8+bMw4c2ZYeApCofhIodCg2y0bLk6cPw8Aw7Rp0KNtmq+2Fl9VVUzvIRKbZK7VqQVJKBXReeVUSgUT8yyS8W0VbQS9XlzbpBXPSouF3KefJvPXv0LRh+ZbnN7xuvwsf2EfYh9pOB1WLx89ujNswv5Not4qfV+DuTo43jv4G4q1ycXatw5TuS/kCUrONjL1wgKKpqSjiPKmOlgJ+ILsWlXF1s/K8bnlZ/ZyVOxtoWJfCyOmZzDj0kJMqYM3T6Mnfm+AtoYO2uqctNV30FrnpK3OibXRFZb7OG5ODmdfNwJBIXCw3obNHe5ZMWiU+ANiWEeGZqeP0iYnw/qowIwVuXzAsPdUX4918SdYrrqyayzgD+Joc5OQrEOpjM9Re9L26muyRlf6z36G0EMWRtBoSJw/D+t774eN2z5fgukCafWw88svJYUmSrO5q/JRmZCAvrgY186d4dtt3Dggoscnkg/YyZQhSXxVGr6fbRVtXCo0SiYcSouFoR8uQi2T0B8ndta+dRhbs9QAUqoVBHpUfNtb3Xz8+E4W/mQyBpNGss3pSiAo0mCXVkLHjcA4p4xAIMiuFVVs+eQo/m4/vNZaJ8ue34flk6NMPn8II2ZknHYPWVEUKd/dzPr3SrA19a8vKCIc3tRAydZGRpyRxYi5OeRlJfa93dfAkS0NHN7SQGutA1uLG6Jw1u1dU4POqGbGZYVsKpOrtEzG5QtIPIQbyloG1Aj0NTRIjAU5Wp57DvPCKxAUCmpL2ln+/D4cbR60RhVTzi+geG4OKvXgFFk91fhbW2l+5hnJuGHWTBLmniO7jemCCyVGoGPNGoJOJwqjMWzcvkyav5kwd26YcWmYNVPyvXZs3EjStddG9yYiEIzgte5LJLoncsUh2yra6GiSpiUYZsyIG4ADxOEt9RzaVC8ZzxhqYt5tY/jwke04reFGeHtDBx8/voMrfjwZnVEt2fZ0pNnhIdDDE2rWq8N6XQ82Bu+ZxYmZhqM2Vr12UBIW7E57QwdfvHKALZ+GjMHRs7JQqgeHMRgMinhdfrwuPx6XH2/HsVeXH0+Hn4q9zVQd6D23z5Jh4MxrhiOKIhs/LKWlRj4JORgQObi2lt1ra/BZ1MyYmElKtpGkTAPJWUb0iV/v7HTHskq++qCkX9tu/aycpEyDbD7gjMJkPL6g5IG7sbSFm2cO6dfx5JCTGVGazQSs4WF779Gj2FeuxJozhc+e2d01cfE4/Xz1QQl71lQz64oihk1NHxTJ+qIo4t67j2BHB4YpkxFUp+4W2vTkkwQdPX7bCgUZv/hFxM/GOHMGSouFQHt715jodmNfvRrzxRcfH/P5sK9eLdk+ccH8HvubRcsz/wkbc27chBgMnlDv25ImB20d4QUpOrWC4hxzhC3kmZwnNQJLm5xY6zZLxg3TpsV2knFksTW7WPP6Icm4Wqtk/h1jMKcZuPxHk1j0r+247OHfcUuNk8VP7OTyByeh0Q9Oc8TjD/DI8sMs3llLmknH7y4ZzZQh8pOTOplQ8GDOB4S4EfiNwOvys/HjMvasro7KWwRgb3Gz5o1DbP2snEnz8xlzVjZqzan1uLTWOdn1RRXVB9tw2b0xhXZ7otGrmH7JUMadk9Pl4cwfm8KRLQ1s+rgMe4T+aBoENO1+9q6uDhvXGdUkZRlIyjxuGKYXmE7JjLWpys7Gj0pPaB9fvHKQcos0327G0BR8gSCPrzwSNr6xrAVRFAfM0JLzKlmu/w6unbvo6CFBsv/FpexMVhPwByXb2FvcLHt+HztXVnHGVcPIHm4ZkPPrD6IoUvuTh7B99hkAmqIicp98Em3h0JN+bM+RI7S//Y5k3HL11ehkpFs6EVQqEhcsoP2d8G1tn38eZgR2bNlCsIeBLhgMGGfPDhvTT5qIoNUieo6HvAKtrXiOHOn1PPpCLh9wypAkNKrYDEuzQc2w9ARKGo8by8pgAPfOnZIE+LgReOIEA0FWvLQfr8y9++zrR2BOMwCQlGnk0vsn8tGjO/B0hKeoNFbY+eTfu7j0/omn/BkUDa9trOTZNWUA1FrdXP+/Tbx8+3RmFUlTFeqt0gjVYA4FQ9wI7DfBQJDaQ1bsZWoOqBtISu1Al6BGn6BBn6hGl6A+JWGssp1NrH3rcJgmUyw42z2sf/cI25aUM3FePrmjkkhI0qFPVJ8Uz4soitSVtLNjWSXle/quXO0LQYAxZ+Uw49KhEu+dQiEwckYmwyans3ddDds+L5fMRCPhdvqoK7FKCk6SsoxkFZnJKjKTWWTGnKYf0M8p4Auy4sX9BAPRF2poDSrJjTXgDzKvRUl9oh+bIrQvvVrJ+FwzQVFEq1Lg6WZ0tTi9HG5wMDLzxEPj/rY22b6ypgULMEybFmYENqZOZF/C+YgyBmB3GsttLPrXdgonpjFrYRGWDMMJn2es2Jcu7TIAAbylpVRcfz25zzyNYfLkk3rsxkcfg2D4Z6QwGkm7/4d9bmu66EKJEehcu46Aw9GlhScn5ZNw1lkodOEPMIVGg2HKZJxfhUvDODdsOCEjUDYUXBBbPmAnU/KTwozA4e3VKDzhk0Cl2Yx2+LB+7T/OcbYvrZAtyhs2NZ2RM8JD7Wl5iVzywwl8/NhOfJ5wo7GuxMrn/9nDxd8fP2giU528vy3cQeD1B/neK1t583szKc4N91THPYHfAjpsXvavr2XfuhocbR5Ax9ZD8tVxaq3ymGGoRp+oIbPQzIR5eQMy23G0eVj39mHKdkZW7BcEKJ6by5BxKexYVkn1wcihVJfdx4ZFx71PSpUCY5KWBIuWhGQtCUk6EpNCrwnJOiwZ+piM3GBQpGxHEzuWV9JYbot6u97IGZnEmdcMJzW391w2pVrBhHPzGD07i1df2oNtZysa+me4tR0ryNi/vhYAvUlDVmHIIMwqMpOWn4iyF+9FsKODhr//Hdf2HegnTCD95z9HmXA8N2vzJ2W01sqHsBOStSRnGknKOu6dTMoyotWrWPb8Pkq2heufGUWBhQ4NbyR68AmhSkv1MS+pXAL9htLmATECHStXSgwWdU4O2tGj0QK6sWNx79tHffo0Doy+GVGI/joq29lE+e5mxs7JYdrFBegTTk3YXhRFWl54UTIesFqpvO12sv/xD0znL4hpn8FAkKoDbRzZ2oCtyUX2cAsT5+WjSwj3Nvvq6nCsWiXZPuWeu1GlpvZ5HMPUqShTUgi0HP++Ra8XxxdfYL7sMsRgEMeKlZLtEufPl4wBGGbOkhiBHRs3kXLbbX2eixyiKMr2t441H7CTKUOSeHvr8XtycbPUq66fOvWEwtdxQnIwmz8pl4wnJGs554aRspPjzKFmLr53PIuf3CUpFqna38prv9uAOd0QetYk60jo9pqYrEOjO7Umi9Pj52C99Hnl8Pi59cXNvHP3rLBcatnK4EHcMg7iRmBUiKJIXamVvWtqKN3eGLWXxucJ4PMEukKRFXtbOLqriUvvn3hCYcX962tZ/96RXsOnqXkJzL1pFOlDQhpb+WNSqC+zsu3z8qg8cAF/EFuTK2IBhkIhkJRlIDUvkbS8RFLzEkjNS0TbI6/D7w1wcEMdO1ZU9b+YowemVB1nXD2coRNSY/LCBRQCz7a04DB5mOlWU+xV9tsY7MRl81K2s6nLGFeqFYw5I5sZlxdKPguAmp/+LGQkAZ7Dh/HVVJP3/PMIgtDlIe1JSo6RhQ9Nkd1fJ+feOhpbs4vGinBF/vSggoudGj4yesNEd2cVpkiNwLIWbjvjxEObcl6lxAULur6rlO99jy1/e5uDI28AQfogzhhqQmtQd1W29yQYFNmzqppDG+qYcmEBxefkotaeXK+7a8cO3Lt3yy4TvV5qHnwQ/y9+TvKtt/a5r5YaBwc31nN4Uz0dtuMh+7pSK3vX1jDt4qGMm5PTNZmwfvihRBhalZVF8i23RHXugkqF6fwFtL3xZti47fMlmC+7DNeuXdL2b2o1CXPOlt2fcdZMek49O7ZsQfT7+5UjWdHSQWOPikqNUsGkfEvM+wJpcUhxS5lkHcM0+V6vcaLD65aXgxEEmH/7GLSGyM+3nBFJXHhPMZ89vVvyLHW0eY45V+TR6FWYUnUMm5LOpPn5KE5ycePuaiuRFG9anV5ufn4T731/NjkWPaIo4jpg5XabFp8A63Q+KtTBuCfwdMbr9nN4cwN711RHLDCIlcYKOx8+soPLHpgYc2m8GBT58r0Sdn0RWZdLpVEw/ZJCJpyXK/mBZBaaufjeCTRV2tn2eTmlO/rf9zMYFGmpcdJS4+TQxuNVYaZU3TGjMJGAP8jetTW4HdGFYAHUOiVavQqNXoXWoDr+97HXtCGJDBmX0q9Q+0tflYceNgr4wuBjjd5HclAgOaAgJSCQEhQYl2ggaPMR9PdPNy/gC7JndTUNR60SY9+5cWOXAdg19tUG7EuWoJs7nxUvH+j5rEehFDjvtjG9GoAAao2Si74/nnf/tlWSGjDcr+Rst4oZhcfDa7OKUqCHrbbpaCvBoBiThJAoigSDYlceZsBul3iJILzAoFwzmoOjbpLdX84ICxf9YDwanYqq/a18+X5JxEInrzvAhkWlbF9WQfGcXMbPzT1pBT2tL0q9gGGIIg0P/w1fbS3pP/+5xMvksns5vLmBQ5vqaaqM3DrL0+Fn/btH2Lu2hjOuGkb+2CTa3/9Asp7lmqtj0rVLvOACiRHoWL+egM0mW8RjnDUTZaK8V1g3ZgwKk4mg7biHJOh04tqzB8OkSVGfUydyoeAJeWZ0/UynKUw1YjGoae/woQgGGNtyVLLOYM4HbKywYWt2kzsySeIVHiysiyAHM/mCIWQPlxbn9GTI2BTO/+44lvxvb5+6gt3xuvw0VzlornLQUu1g3h1jT6rkWc+2gz2ps7q5+blNvH33TA59XkXGkQ465Zevdmr4yOAlI24Enn601jrZu6aag5vqT6hYIRItNQ4+fGQ7lz0wiYSk6G7kfm+AFS/u79Vwyx+bzJzrR/apf5eWn8gFdxfTUutg+5IKjmxpkBgf/cXW7MbW7I7awExM0THhvDxGTMtAa1SftB+0tcPHM6vDq20DAjQpRZqUx7/jI+lBPv3j2dhbPLTVO4/p8XXQUG6jvSF6lfvGCjsfP76Tyx4IGYKiKNL46KOy6zb84x/UNOfLekqnXTKUtLzoQrRGi5aLfzCe9/6xjWCPUMt0jxpdlQsKQv8fn2tBp1bg7rZee4ePg/V2xmT33qHB6/JTvqeZ0u1NVOxrIeALYkrVkTsqmZSOMhA1qDlu+KvS09FPmAD0XvWc3HqA+Zdc0BXyyRuTzLWjpnFoYz2bPiqVSEx04nH62fpZOTuWVzJ6dhYT5+VjThu4EIy3ogL7ipWIQLtlOE2pE/FoLSgDbtS+DlR+Fyp/6LXpk53U1f6ZnB/dh9asp6nSzsEN9VTubYmpl3V7QwefPr2brCwFeW1BwhIeBAHLwoUxvQfDlCmo0tLCPX4+H/YVKyN2CYmEoFRimD5NEkLu2LixX0agXFFIf0PBEIpSTM5P4ouDjRTa6jD4wydFioQEdKNG9Xv/Jwu308fq1w9Suj30Ham0Ss66Zjijz8gaFJXxnbz53gFaN0rlYNILTEy7JPpIQuGkNM67dTQrXtofdUFjd45sbUShVHDuraP79dwQRZHqg21UH2ojOcvI8KnpEsfJjsr2PvdT1uTkr3/byLCWHjm7CFzSoUFvjd4J8nUQNwK7EQgE2fhhGTtXVEZ1UQoCaNP85BdlEfAIuB1eXA4fLocPt8PX6wynrb6DRf/axuU/moQppfcHltvh49Ond8v2YwTQJ6o569oRMctopGQnMP+OsUy7ZCj719XSXOPA0erG0eaRJO4ONGn5iUyan0/R5LST7tIHeGZNqUQ4WRAkUTYO1ttZU9LMuaMysGQYGDohrWuZy+GlvtRKXamV+lIrjRV22YrWTpoq7Xz02A4uf3ASvo1rce+SDyc2uCzs+7JBMp4x1MTkBbGJ8KblJ6I9Iw3Xaun+1r91mJRMA9nDQ1WXk3NNfHW0PWydDWUtskagp8PH0d0hw69yf4vEU2prdh/Lk9TBGX8j0VFFUtshklsPUnBeKP9q62dH2fSx1CsDkNq8m3H7nsf6Sh3GP/+5a1yhEBg9O4thU9PZtaKSbUsr8Ue4NgO+IHvX1LBvbQ1FU9KZvGAIafknnuNY/+LrVGXPoSb7LDqMUejK+YC/7zzh4wLU1QWpm/pLcmq/ZGj5J2h8DoxnnIE6Kyum/QhKJYnnn0/ba6+Fjbc8+yy+yh4pCIIg23e4O8YZMyVGoHPDRizfvYugX4xJ7kOuv3WsItE9mTIkZATK5gNOmYygHFxVqPVlVpY9ty+si4bfE2DVawep2NvC3JtGDQqv4OLPS6ldWYuuRxqN6pgcTKzasyNnZKJUKfjyvSO9hoEjcWhTPQqVwNwbRyHEYAgGfEHWvHWIA1/WdY3tW1fDBXcVd0XoRFFkh4wnUK9W4vIdvwfN8qgYZpV/DqgR2PVmCcPzzCRlGmXX+br5RhmBbfX9zzlztntY+tzeXtuPdaJPVDPmjGzyJ5nYsvMrZswdgskU/uAUgyIelx+3w0dztYMvXjkgMaxszW4W/XM7l/9oEpZ0+WpHa5OLT57aFdELNXJmJmdeM/yEcgwt6QZmX3W8Uk4UQ3p9nfkZjjZ32GtbfUe/q5HzxyYzaX4+OSOTTtnstt7q5sUvpcbHdVPzKGl0sLUi/If+9KpSzh2VIVlfn6Bh6IS0LsMw4AvSWGmnrrSd+lIrlftbJcnOzVUOPnp0BxO2/EeyPwCfSs8BmdCoSq1g3m1j+mUgbwt6aNb5ONsdfk0EAyKf/2cvV/9iCuY0A9OGWKRGYGkLd54Zms27HT7KdjVRur2J6oOt0VcsCwrsiUOwJw6hMn8Bexoh5eEtknzFTtIbtzPmwIsoxCDWjz4m7Yc/RJ0R/vmrNUqmXjSU0Wdks+WTo+xfXxvRey2KULK1kZKtjeSOSmLygiHkjo7tehNFkcZyO3tWHOVIzWSCw2dGvW0sKJQCBcWpqHXKkNiu3HsSFNTknEV9xlSGVnzO9Csullmpb0wXXRhmBDoNGZQqilHnDSO1aRcGdzNwzGuY0rsRZpwV/nk4DFnsd4zm8x+tJeAXSctPZMT0DIZNyeg12lHT7qK6rUeXEoXAFBnR51jozCcsbpbmAxoHUSg4GBTZvrSCzYuPRnQalO1sov6olXm3jiFvTOwe0uZqB40VNpKzjGQMNfXrvuvzBPjyvSNUrpMagABnXzc84jOsL4ZNSadochqejmPPnFY3jjY39s5nTuvxZ4/cPejAl3UolArmXD8iqvfmbPfw+bN7aDgaXvBRV2Ll3Ye3cOE9xaQPMVHZ2kGLMzz6oFEpeOfuWdz43EZsbj/T3CrOdPf+7PV2+Fn8xC6u+vkUjObB15rwG2UErn+jDJ0jk5lXFMVkFFUfbGXZ8/v6lA/JGmZm3Jwciiamo1QrsNkiV7kKCgGdUY3OqMaSYSAhScviJ3fhdYV7oxxtHhb9azuXPzCJ5OzwmUJDuY1P/70r4nnNWljEpAX5A25MCYKA1qBGa1CTkiNfeeuye2mqstNc5eh6bW/skH2IKRQCw6dlMHF+fp+VvCeDx1ceCZNDAdCqFDwwbzgH6mzc8dLWsGVbK9rYfLS1z5CUUq3okosBqD7UxqdP7Qrr1AKhm/CmxEuZqD6KxheeW3p4+LV4tRbJvmddOaxfMiihSstWmrV+UgICY33hP3G308en/97N9EsLKXTAZI8SrSigEUErChh2tLPYthNPh5/GCntM+TqRCASIaABmtm5n1DEDEACfj9aXXibj5z+TXd9o1nLOjaOYcF4e25dVcnhTfa/GafXBNqoPtmHJMJCSbSQxVY8pRUdiig7Tsb9V3ar1vW4/R7Y0sG9d7fHcPeXA5xmmD0lk5Mwshk9L76pwnnBuHuvfPULtkXbZbQIqPSVFV9K4Ucd5o9rJHmaJ6Zj6iRNRZWTga2igKu88Sgsv76rMLim6kuSWfeTWrmV0L6HgTjRFRajS0mj2mqjIm09LanFowTEPcVOlnaZKO1++X0LOiCRGTM+gaFKapGBgi0woeFy2iQTtiT2aJuRaUAki42SLQk69EVje7OSFL49idflYOCmHc0am47R6WPHi/l5VGzrpsHr5+ImdTDgvj5lXFPaZEx3wBSnZ1sCeNTVhxk7GUBPTLx1K3ujkqJ8bDUdtLH9xH9ZGeSdLqS7IbVPSZJdFiyAcf15GekaIQZE9a6pZ9/YRybJ9a2tQKgXOvHZ4r++rviwkRdO9IKs7jjYPH/xjO+fcNJKDWql3rzjHTHGumRdvn87fn9zC2e7orlN7q5tPntrFwh9PHnSi2P0+G0EQtMAfgZuBJGA38BtRFKWlgeHbXQlcB0wDMoEq4BPgT6Iotvf3fAAQYd+6Wkp3NDFrYRGjZ2X16iIWgyLbllaw+eOyiF4FlVbJyOkZjJuTQ2pu/0NLmYVmrvjRJD5+fCduZ7hR12H1suiR7Vz2wMSu/K/y3c0sfW4vfq/0QlQoBc67dTQjpn99LY/0iRryx6SQP+a4x8Dr9tNS7aCpykFzlR2fN0BShoHRZ2STmPz1JMeWNjl4Z6u0kOa22QVkmfVkmnSMykzkYH24kfL06hKmD50e07FyRyZxyX0T+OTfuyTfmyMhlx0THmDSrifQ+BygVtNoHktDhvQYuaOSKJ6TE9OxOylrdtLs8IAASw0+LA6BnED4A6OtvoOl/9sLwHlIDZzKfdIH88lgzJnZjG3ZS8vu8M+q7e23Sb37LpQWS8RtkzKNnHfLaGZcWsiuL6rYt66m1/zd9oaOiN50vUmDKUWHwaSh5lCbrPDtQGA0axg5M5ORM7IkEz4IhfKv+PEkynY28dX7JbKJ9xCKIHz4r+1Mu2QoUy4siDofSlAo0C+4iJ3bFDSmS3UNW1PG0poylrIDKsYtKWf07GzZ4jUxKFK+p5mtxQ/QGuzDYydCzaE2ag61sebNQxSMS2X4tAwKilNQaZQDng/YiVGrYq7GTqIv3HAJanXoxow54f3Hgt3t45YXNlPZGrr+Pt1dxxPnjKJ+eU3UuqWd7FoZEteff+cYUrKlxpK91c3etTUc+LJWdt8NR20sfmIXWUVmpl06lNxeIjLBQJCtn1ew9bPyiJPBNkWQzzQepu6s44YZJ94/ujcEhcD4uXkEA6ECyZ7sXlWNQikw+6phsu9p//pa1rx5qM+IRsAfZOVLB3AO0aMQIdhtV5OPeZh1lR2c7ZA3n3Zp/AzxK7AEw6M4zVUOPn92D5fcN6FXGbFTzYmYpC8BVwOPAUeA24DPBEGYK4ri+l62+y9QC7wGVALFwH3ARYIgTBZF8YR1RNwOH6tePciBL+uYc8MIWePN7fSx4qX9VESQSxEUAtMuLmD8uXl9VmZGS+dN/qPHd+LqMRNxO3x89OgOLv3hRJqq7Kx985CsYarRq7jonmJyRp5YuORkoNGpyBpmIStGD8XJ5F/LDkl6OSbqVHz/nCIgNAP9/jlFPPDWzrB1Vh9qYn+trc8iiZ7kjEzi0h9OYPFTuyW5a86EHHZMuJ9Ju54g62//x7pF0opzVdDD3JtGxpTf0p3ureICAnxo9HKn24DOO0CVP8cwmDQUTkqjaHI6qbkJ1BxsZu+fn6M1sYgOQ9+Tk/Fzcznz2uEE2tJpffFFRPdxg0fs6KD1jTdI+8EP+txPQpKWM64axtQLh7BvXS27VlZFnOVHwmXzSn6PvZE1RM/IM/MRFAIepx+Py4e3w4+zqh7b9r34BA1+lQGfSo9CDGC2lpGvrWfKU/9EqZL34ASCIkqFgCAIFE1KJ1PTxroHn6J8yAUEVNKcYVGEzYuPhgyCO8aQkNT3JKut3skax3Ta03sX5nZY/Wz8sIzNi49SNDmdcXNyyCoyEwyIHN7cwI7llbTVOQnN/aMn6Be75JTUOiVFE9OoqmhGHwRXt2fiieYDdjLHVS0ZaxoyMqwX8qng3a3VXQagQoQznEqOflAecf2MoSZGz85iw6JSiQg8hAoL3/3rVmZdWcT4ubkAVB9oY8+aasp3N0dV5FdXauXjx3aSPdzC9EuHkjMi/Ltsb+hgxUv7JSHT7pSpAiwxeHEr4KWvjnL99LxTkuIzcV4+AX8of78nO1dUoVApmHl5Yde5BPxB1r1zhH1ra2I6jrHCxdUqDYsN3q7rc3J+Eoc21rH6DWmbPAgZgMv0PixBgRsdWgxi+OdRfbCNL145wLzbTu1EpDf6Zd0IgjAd+A7wU1EU/3ls7BVgL/B3YHYvm18tiuLqHvvbBrwM3Ag8159zkqO+zMo7f9lC8dxcpl96XLetscLGkmf3hiXhdsdg0nD+98ZGVeoeKyk5CVz5k8l89NgOSSKsp8PPon9tj1hskJCk5ZIfTpCdAcaRsquqnc/2SKvY7plThMVw3MNxcXEW/1p2uOtG3ckza0p58vrYqx2zhydx6X0TWPzkTolH0JmQw67Zv6SyNBmfzK9v+KG3CK5xwVVXxnxcgE1l4Z6VDgUozk5Hva75hIt9jBYtRccMv8wic5gHKsNxGO+BNwBway20Jo2iLW0c1iHTJRJBk8/PZ+YVRQiCgCo5Gcs119D26qth67S98iopt92GwhBdSFxrUDP5/CGMPzeXw5tChkos1dx9ofJ1kNmwkRGFAqN/+acIa43EcySbyrvuxl9XJ1lqXzwHy8IrwsZKGh3c/+YODjfYOXtEGn+/ejypCVocH3/AkKoVZNVvomzoJdRmzZbVVKw90s5bf97MuTePpnBi5JBc6Y5GVr58AJ+7dwOwO8GAyJEtDRzZ0kBKjrErZ2sg8LkDHNxYzyxgFnqaFEEqVUGq1QGKUwfm/jaiXho23J0ylHMGZO/R896xjhOWQKhaNCsQwQskwOQFQ5h+2VCUSgVDxqWw4qUD1ByShosD/iDr3zlC2Y4mOmzefl/rtUfa+fCRHeSMtDD9kkKyhplDOrTvHpGNQgH4EFmt97FTE6AzPfBwg4MNpS3MHta3ePlAMOWCAoIBkc2Lpbne25dUoFQpmH7JUJxWD0v/u5e6Uvlcf4NJw1nXjWDbknKaq6RSVEP8Sm62a/nQ6KVRJZLWFmDlm4dl0572qkMGIAK0K0XeN3q4yaVH6OF5PLy5gYQkLYrs/r33gUYQ+6ENIgjC34EfA8miKNq6jf8S+CuQL4piZDE76f4SARvwiCiKP+nH+YwF9v76mufJSi6QXcdg0jD7qmH43H7WvXskog5czggL8+8cG1UCp81mY9WqVcydO1dSGNLnts0uPnpsR8SQT09SchO49L4JGC2DL7F0sHLjcxv5siTc05ueqGXNT+ei79G15bWNFfzmw71hYwoBvvjJORSk9q+q68Cjr7JmXwoBVXSh8LSmnYzb9z9UqakULfm8q6VXtIiiyMyHV9JgC39Qv/HdGWS74LOnd8csBZSQpKVocjrDpqSTUWCK6KGs/fWvsfbQszNdcgnZf/87LbUOqg+24Xb6yBuVLPFi+2pqKDn/AvCHez0yfvUrkm+5ObYTPkYwKFK+q5ntyyp69Wb0hclWTnbtOjIat6EM+ih4+60uuZtI+Boaqbz9drxl4Z4KVXo6RUs+7zJsbW4f8/61Jkwo+fKJ2Tx25ViOnD2HQHt717jDmE3ZuT+l2R45P7H4nFxmX1UUli8WDATZ9HEZ25dKRcg70XjaZfNSY0Xnaia/+gtG/OAa6tVDObylod8C8Sk5CeSMsJAzIons4RbZytje7r+iKHJo9hmIbeEG1C/m3MfbT93TpwZhMCh2TV5UGgUqjTKqsLvfG8De6sbW4sbe4uZohZUlm6sxBwXSAoqI4vR6k4b5t0kLP8SgyM6VVWz8sDSmVpI90RnVkjQkOUypul6fSXXKIJ8avLQppecyf0wG/7vl1Ilwi6LIpo/L2PZ5hezy4jk5lO1qjljEmDHUxIV3F2O0aPF5A6x+7SCHN0tVFSBk+B4xwTiHQlbqScg38A9rCz0cf/xxWiGOlfWy4fSUiW6u//7FAONEUdzX65s9ifQ3zjkJONzdADzG5mOvEwnl+kVLZ/youa8VBUFIB3pOeYsAMoYbIUIzjA6blxUv7u913+PmZjJhQQ4BwYPN1veM1+l0hr3GhAbm3TWCFf89hK2592NlDTdx9s1FBBTRnVcc2Hi0TWIAAtx9Rh4+txNfj/vc+SPMPGpU09LtRhkU4akVB/ndRcNjPn7Qbkd48ykmksLO8ffKhvS6o/baGXn4TQQg0NxM7eNPYP7hfTEds6LVJTEA1UqBoiQl+nQl8+8ZyaEvG3E7/ah1ShRKkeb2JtY3K7EHg3gFEa8AHkHkpxcUMXaoGVOariusYnfIF3eIfj92mbZjqrPOxO6wozFB4XRL17ikoCoxEf2CBbi69eUFaPrvf1HMn4fC2D8jPLVIy4Lvj6DD5sXe7AlVGbZ6cLR5u147rF7JrF6pVpDtPkTmjvdJdBy/jWnGj8c3dCi+XgrCANDrMP3spzTf8/2wYX9jI7VPP4Ppru8B8PDSEkmnjE931/EjRVmYAQiQ4Gtm/g/HsneTgz1f1Ml6Ivasrqb6UAtn3VCIOUOP2+Fj3Rtl1JfIf2/KgIdRB18jvWkHrcmjqRl2Ps3GYTFrtiU4qsmvXE5603YUYhBhVwajH5rGqDkptFQ5ObqjlfJdrbgd0tBmJFpqHLTUONi9KuRF0xpVGExq9Ilq9MdelVqRjnoVlQeaSMrwoE9QISgExKCI92g5XrsHUZ2AKCgQBQUepYbahDzWbixnaIIOlz0k5+Wy+3DbQ6+hv0OqDhLhdpUQMgjVoX9KzfFXnzuAs80r+x7H9PGYzR5hYvZ1Q9EnqmSLDYtmWEjKG836N8qwNkbnNIBQ7viQ8UmMnJ1Oap6Rqn3t7FpeS3svKhqRDMAgIhu1fjbo/GE5ct1Zsb+B/ZWN5FpOXf736HNScXW42b9GarztWRM5/Fs0LZUZC/PDnqnTr8olMV3N9k+rJd+9GoExttDn0JO8sRbOvqmQlrUVPL/heAqCWilw9uw0WkwaNr4vNVT3fiGNUn0d9NcTuBdoEEXxvB7jY4B9wD2iKD4bw/6eI5RTOFoURakPP3zdPwC/l1v2xBNPkG4cSvs+LX5n9DpQgkokebwLfcbJ1caTI+ARaNqsx++QP19Djo+kcW65SNBphz8IrR5o9Qi0eqDFI9DqBrsPzBooMokMM4mk6UIafv0lKMIje5RUOcN3kqYT+eWEAJFUV1bUCCyuDP8eEgMOvq/didLbQWJBEcacIVGdQ8qSpaQc6/dqNQ3t0xAs3vssac3HdQRFpZLyH/8IXxS9YTvZ0CDwVln4+Rcmijwwrvfr+n8HFextC/9QLskPMD8nunuDvqSEvP+FZ3EE1WpKf/dbRE10lbWahgYKHpGKabfOOZvmiy6Kah/9QQxCwCXgdykIuAUUapFEfz2FT/xLsm7tzTfhGDcu6n1nvfIqifvCJ/hBtZryhx6iTGXmkT1KRARSPc2ke5uo1WbSrkni+d3PkV12MGw728QJ1F9/PQDuFiWtu3QEPfIXsqAQSSzy4qxSE3DLr6PzNDN+139I6Dgetm6Zew4NZ1+Is0qNs1pN0Nv7TUeb7CeNQwz/4Okw/5YnPZ2Kn/w4bF0xCJ5WJR01Ktx1CoLi4KqQ/DoIILI9wcelsz1ESBUNIxgA60Etzsref1NKXRBjvg9jrg+lNvw3LIrgqldhK9FEfOb0xKYMsljvo1Z1PDw8Kz3IgXaBdm/4PXZuVpArCqJPORgIRBGsB7Q4KqK41wgiltEejPm+iM8Yd7OS2m16NJGs3W7o0vykTHIhKEPnsaFRYG2dAo0SLssPMCwkHIHtiAZbSXgUr661nL+8eyecpp5APSDnknJ3Wx4VgiDcANwJ/L0vA/AYTwPv9hgrAj4qLi5m8uTJBK4IcmBdA7tX1El023qSnGPg7JuLSEyOPczqdDrZvHkz06dPx9hPbwWA+ywfK587QmtNeF7H+PnZjJ83uNTio2V/vYNVh1uoaXeH/lndNNm9vToZth7zA6claJiSb2Zqvplp+WYKUvQxfQbLDjRRtfGgZPxnF4xm3pjIeVPTPH5WP7UZ+7HcOWXQz6V1n+DyhUJKjopSJl50BVOvuKbX8wk0t9Dw+z90vVez7SgTdz/FrskP4kca1ho6Wk/ahvBEYyEQYPSmTaT88599vd0uln98CGgMGzuvOJ+55xTIrt95/Z47Lo+968Jnza3KFObOLY7quO1bt9LTF2448wzOOf/8KM88RMvOnbi/WBU2lrz+S0bdey/qgoKY9nUitP3pz/TMsFLm5jL1Bz+ISWTYP2wYDdd9JyzMrfD5GLNzJ/8ecjmKYDvntqxhlOMwAAEUrE06m8yj0qTzod/9LqOnH68kd1/o46t3yqk5IM11EoMCtiOR72d5Yy0Ue/bg3tAtb1GhYPT3vsf4YSG90IA/SOWeNg5taKKpvFuulAD5Yy2MPSeT1PwEAm0jqf/g6bD9axsbObu4GGW3CYwYDOJasQL7O8/hqaqlNXkMrUkjabeMwGmMTfj6m0C7IsgnBi91KpG5aaNZOCFKpYd5UH2gnQ3vlku8jpnDEhk5O53c0RYUyt7vl8GgSMXuNnYvr8XWFNm7aBiRwGMNTfh67O4XV0zji8MtPL66PGx8a6uah2+cgUET/e9kIBDnimz+sJLDGyJ3qtIaVcy5uYiMwt5VPkRR5LLKTZzTpCA9GHkilDkskbm3D0elPr7OucCv5fZ5jsjG9yso2dxnsPOU018j0AXI3WV03Zb3iSAIZwHPA0uR/+wkiKLYSI8nXecDWa/Xd+WGzL7cQvFZQ1j/bih5Vo6xZ2Vz5rXD+9WHtjtGozHmnMDumExw5U9MrH3rMIe3NGA0a5l9ZdHXKgHTXzq8fn7/0T7e3SatzIuWJoeXJfubWLI/9L2lJmiZMTSZGYXJjM+1kGXWkZqgRSmTo+MLBPn3uu2S8XE5Jq6aXthrXo8JuGV2Af9eFeoyMMZxkBRfeE7Rzs8+hICPc2+7W9IftpP6J54Mq3YFsLhquOS7w/ns9eowrciEJC3n3TUNm3AHzU8/E7aNe+06FLv3kHDmGRHPuRNRFNleJQ0lzRmd3ee1eeaIdJ7oYQTuqLajNyag7kOsWgwGaVi9RjKefNHFMf8mdL/6NWVffoXo6Ta/DARwPvYYec8/f0omQ/6mJmqXLJGMp952G+akJHyBICsPNGBz+7m4OAtjb3p2Y8fiu/lmSd9h9+efozgrjys9e8j0HL+VKQlydus6yURJnZ1N2rnnhl1vJhNcfn8yu1dV89UHJVH1uhYEmHF5IZMXDEH0jaX60D6c69YhqNWkPfgAKZPDZWOS5liYMGcozdUOju5qClUuT04L73xgMtE2ahSeg+GTLsW+fZguvRQxGMS+fAUtTz2J50jJsfcJac27SGveBUCVKZ9/nvkg49RapuoNtNUPXEHPYMOLyH5NgDV6H51OtP9+Wc31s4ahiVI2ZMwMEwWjM9m5vJLGSjupuQmMOTOb5KzYHBGWs80UnzmEI1sa2PLp0TAdQH2imrk3jeLnG0skBuA5I9OYUJhJXkYy/1lfGabBavcEWFFi46aZ0UVMBpJ5N49DpTjI/i+lRVlp+YlceE9xVFJlVa0dVHh8vJEIF3SoGSVTwZc1zMylP5yIWhu97TD/1nH4XHsiKpJ8XfTXCKwD5ITMOqd0tX3tQBCECcDHhCqKrxZFMfqEkShJTNZx4d3FVOxtYe3bh7uSlFVqBefcOJKRM0/+DDQYFPnvujLWHm5iWHoCD50/EpNO6g3SGtTMv2Ms824PlY6fjt6/g/U27ntjByWN0iqrE6HZ4eHTPXV8uuf4j1upEEhP1JJp1pFp0nW91tvcHG2W5mj+/IJRUSV2337GUJ5bdxSfz8dk607ZdXYu/RRPRwfn3/MASlX4T8hbXUPb229Ltkm64XoyphZyRXoaq18/SGOFneRsIxfcNQ6tXkXKd79L+/sf4G8Iz21p+NvDGBct6lPWoqrVRa013PBUKQQmD7H0+Z5HpBuxGNS0dxzPh3T5AuyubmfKkN4121w7d4X3owVQq0k4Z06fx+2JIj2NhovmUbV9Kzqfn2Snm2SnG77agH3pMkwXxOZZ7A+tb7yB6AtPoFeYzViuXIjbF+B7r2xl3ZHQbP6fSw/x4u3TGJttjri/1O/fg3XRorAcP6tew7zWFQRU0utRKQSoSDVR2HTcw2e+8krZCYcgCEw4N4/sYRaWPb+v1wpRnVHNgjvHdhUeCFot+f/7L76GBhQ6HUpzL+8hN6FXkXfjjBkSI9D51QYURiNNTz6F58CBiNsC5NkqcXrq0Z45hRuuHE+HzUvN4TZqD7dTc7iNtgZ5EfqTjUavQqkS8HkCEStleyIIoSp6nUXL2po2rEIQq0LEphCxKkTumD+M5V+EB7xq2l28u62KG2dEbzh1FjqeKAqFwMgZmQyfmk7J9kZqDrVjStUxenY2ZXYXm2V0HO84I9RRKNmo4YqJObzdQ4f1pa/KuXHGwDcx6AtBIXDOjaMIinDwq+PPipEzMjnnxpFhovC9sf1YqzifAIsNPho8Ime71V0pD5mFJi65d0JMBiCAQqng/O+O48NHd9BY3v9itYGmv0bgTmCuIAimHsUhM7otj4ggCEXAEkIevYtEURxYq6EHQ8alcP3I6dQebsfR7qFwQtop68P4z2WHeHp1yLP0VWkLW8rbWPSD2RGr005H408URd7aUsUfPt4n6cxxsggEReqsbuqsfSdKzy5K4cwopQtSE7RcNy2PzcuWYfLLJ9QDHFi3Cq+rg0se+DmqbnlvzU89BT2NCIOBlLvvBkIz0qt/MZWAPxjmgVYYDKQ/9BC1P/1p2LbeklLa3nqb5JulreW6s1Gm/+r4XDMGTd8/cYUgMGNoMkv3hQxQRDxoTgAAailJREFUk8/KJOsu1j63jcybriFn5OiI29qXS7XhjbNnoUyMTVi9vb6OxY/+jcbyUrCEDI6KY5F7o9tL6tOPMFoNeRMmY0qNvjuB6PPRsW0bCmMCujGjew3nBl0u2t98SzKedO21KAwGnl52qMsABGi0e7j1hc28c/csCtPkjSSlyUTqD++j4U+hfsh1ZiO78tMJ9jIhKUtPIr/FhioogiBIZGV6kpafyDW/nMr6d45w4Ct5L8gFd4+T7VHesz1ffzDMmknryy+HjVkXLcK6aFHU+5jWcJDpQ+eH9mfSMHxqBsOnhs4tEAjisnlxWr10WD04rV6cVg/tTQ6qj9Zj0JjwOPy4HCF5DiEYBK8bQRQRxACCGMSvUNCmMSIKEAQyUg3kZiVgMGkwmLWhV5MGg1nT9Xf336coigR8QfzeID5vAL83cPxvTwClSkFiig5jkhalUsFz68r49NPwCV2mSce984azq9bKyoPhaRtPfVHCVZNz+6xaPlkolApGTMtkxLTj0acXPpcWUo7ISOCs4cfvpbfOLpAYgSWNDr4saeHM4dHnMw8UgkLg3JtHUTQxjcZKO9nDzDG3KN1R2d5th7BZ52fCjCzONyditGgZOSOz3/3u1Voll9w7nvf/vo26U6PJ3yf9NQLfAx4C7gI6dQK1wO3Apk55GEEQ8gGDKIpd00RBEDKBZYR+i+eLohg5iD+AqNRK8scOjAhptFS1dvC/deEyEQfqbPy/xft4+Mrxp/RcThZ2t49fLdrL4l19On+BkERLbpKevGRD6DXJQJJRw94aKxvLWthZ1Y7vBKQQ5Pj5BaNiugl894wCAu/u6HO90q2bWPR/f+Dyh36DRm/AU1KC9eOPJesl33YbquTjHjVBEGRTEEyXXEzbG2/g2hF+7KannsJ0ycWokiLrVvbUBwSYURj99T6zMIWl+xrQBtxcXfchxkAHQTu89fstnHndzUyXyYMURRH7smXS9zF/ftTHBTi86UuWPvM4Xpe8J8up0+AEKv77ZGj/aRnkjh5L7uhxFEyYTGKK/MPGU1pK9b334S0vB0CVlobp4osxX3Yp2tGjJe/H+tFHkqpc1GqSbrqJ0iYHz6wplRyj2eHl5uc38973Z5Fllk+FTrruOlrfeJP9jlaOZPbdDcOrUlKeamZYYzvGWTNR5/TdPUajU3HuLaPJHZ3EmjcOd6UcjDkzm7OuO/GUl94wTJ0GKpVE4icWQkag/PWqVCpISNJJBLFDEjFHmTt3ZljqQe3Pf471o/Df4VsjzuPlMRd2/f/myZncdUX0RT6CIKDSKFFplOhk8nq7I4oi726VpsNcOTkHpULgR/NHSIzAOqubt7dUcevsgqjP6WTSaHOzeLf0nn7HGUPDfjdjsk3MGJos6fzy0ldHvxYjEELfVcH4VArG9+/4OyqluowTxqYydfzACPvpEzVcev8Eyn56eED2d6L0ywgURXGTIAjvAg8fk2wpAW4FCggVeXTyCjAHworHlgCFhESlzxQE4cxuyxr6ajt3OvH4yiOyBs2bm6uYWZjC5RP71xpssLC3xsq9b2ynokX+4a1TK/jhucMZm20iL9lAjkUfcaZ7/tjQDNTtC7C9so2NZa1sKmthR1U73hPwLl5UnMmEPEtM23jKdpPsk94I5Kjcu5v3/vxbFv7yD7Q8/gQEw89VabGQfMftUe1LEAQyfvUryq+5Jmw8aLXS/OSTZP7udxG37d4ppJOZMRiBs4pC646z78cY6PZ9iiLr33qF5qoKFtxzP2rN8VRgz4ED+Gp6yDAolSScdx7R4Pf5WPvaC+xYsjjq8wSwNTWwv6mB/Wu/QFAoOOeW7zH5wkvD1vGUllJx620Emo977vxNTbS+9BKtL72EpqgI86WXYrrkEjS5OYjBIK0vvdzzUJgvughVehq/fW5TxMlJTbuLm57bxDt3zyIlQZoq7Q/42TV+JOVl8l0G5DiaZmFIsw3zVVdFvQ3AiGmZFIxLpbakHVOqPuY8sf6gTDCiLy7GsXMnNUmJBBQCyU4XZpe0C4t+yhQap55F4rOPhY0Xt5SRpR6YKIJzyxbJ2J7UwrD/b6uI7vfdH/bW2DjUII0iXD0l1N1jXI6Z88dmdHneO/n3qhKum5b3tXkDu/PqxgrJ9Z5s1HDFJOkz6/YzCiRG4MqDjVS0OBmScvKvv4HE7Quwr1Yaqp2cP7CNI8xpBmZdXRBqkfE1cyJ1+rcAfyK8d/Aloiiu7WO7TqVVuQ7xa4BvhBFY0mjng+2RiyN+9cEexuWYKYoQRhrMiKLIy1+V89fPDuINyN+4R2Qk8NQNkxmREVtYUKdWMrsoldlFoVmc2xdgV1U7m462sqOyjdp2N/U2N1ZXFMKnOhU/PX9UTMcXRZFNi3oWn0O1LpvDxmHMbVmH0CNBqa7kEG/94kEmrt5Ez7TjlLvuikn0WV88DvPChZJQWtvb75B0081oC4dKz62tg5r28FospUJgypDob1wj0hNJNqgZXS1vqBz8cg1tdbVc/tNfk5gc+m5sMl5Aw7RpvXosO7E21rP40f+joSwaQYDIiMEgq1/+H+kFQ8kdHfLseMrKJAZgT7ylpTQ99hhNjz2GfuoUdKNGd3kMu5N8+218tLOWr0p7T+YubXJy24tbeON7M0jslvNrb2nmw3/8icajUi8iQKLbx/yf/4b3H/+/sJmyT6WkLDuNcfPm9XpcOTR6FQXFp9YLE5hYzFpXCy7t8feeYu+gsLGdVIcL/YTxpN1/P8bZs3l36UFm6V4gxX38YasO+nFu2kziuXNP6Dx8NTX4a3uExJVK9vdoInCw3obD4yeht8KefvLeNqlE7pQhSWEpAw/OGyExAhvtHl7bWMF3zyrsufkpxe0L8Pomqbj4jTPyZQ3UeaMzyLHow+5BogivbKjgt5cMnvZo0bC3xoq/h7BzhklLlnngtQ9NaadOT7E3+q0+J4qiWxTFn4qimCWKok4UxemiKC7tsc45ohiuoS2KotDLv3P6ez6DjUeWHyZCz20AnN4A976+Hbfv5GkTisEgDWUl1B4+gN/Xt9EUDdYOH3e/uo0/LN4f0QC8bmoeH917ZswGoBw6tZIZhSncf95wnr56FJ/eN4tdv1/AgT9ewKqHzuGN783g0esm8LMLRnLrrCEsGJPB5HwLl03I5vXvzmRojN0+KvbslDVMtloms880lqVp5yHKiDa2NjWwcVgOHerjDxVVRgZJN1wf83tO+9GD0nZpgQBNjz8uu75cKHhcjjmmB5xCITAnqYMkX3vEdRrKjvD6r35MXUnIULQvXyFZJ3F+30bLkS0bePUXD0Q0AM3pGUxYcDFJhgSiaXEiikE+e+pfuJ0OPGVHqbj11l4NwJ64tm6j7bXXJOOGWTPx5Bfx5097F5nvZE+Nle++vLXrN11XcojXf/3jiAZgRruDWUeq0C1dSYZXmq5QlpKIxxdbH+RYcbS1RgzDR0t9yWGWHNwZZgACtCQa2FKUzeZzZ+K67x70M2YgCAKby9vYlj5Sei5rpVXmsSLnBdSNG0t6evjEJCiG2koONB5/gI9kUmM6vYCdjM4ycfF4aWHif9aU0uEd8BrJmPhwRw2tzvDrTq0UuDlCxa9KqeDmWdJl72ypwun5et9LrGyXCQVPzo8tp/B0I67Y2YP2hnpWvvAM7XW1FE6ZzuxrbkBriM2Q2FNtDetZm+5pZEhHJa2aZEoNQ7uUkA/W2/l/i/fz8JXR6bHFQsDvY/Gjf6N06yYAdMYERsw8k9FnnkPOqDER5U0i4fYF+HhXLY+vOCLxOnVi1Cj5y8Ji2ZBBf/F0dHBg/Wp2r/icpoqjKNVqhk+fzfjzzqdgTHHMRl5fbP5Q6gVs0KRRpQvdxI8kDMenUHNx03IUwfAbXIdWzYbhOUwvrSXR4yP1Bz9AoYt9tqdOTyfl7rtpejRcPNm+dCmuPXvQF4dfL5tkikJmDu0796wnw9oP0FeZjbOtlbf/8AvmXnYNmlKpcZM4L3I+YMDvY90bL7Ht048irjN8+mwW3HM/OmMCwRtu48AlF9Nkt9Jq1NNq1GEzaBFlbsj25iaWP/FPRn32BYGmgdHiSrn9dv627CDNDqkh9osLR/HvVSXY3eHXwKajrdz/8lfcllTD5kVvE4gw+RrW0Mrw+jYEoP2ddxijUtI0Kh+xW8GIiMhXH77PeTfdNiDvpzs+j5vFjzzM0Z3bUKrVjJ1zHmffeAfaKHs1d1K+cxsfP/IwPk/kK6elpYnPn/oX6996hYI5F7KvQos2YxQLKsMNNufadYiieEIP3A4ZI9A4bRpT8pIkvcG3VbRxxgD3ul15oDGsyh5CaTFyBt+D5w3nsz11YfOcZoeXVzZUcM+cogE9r2gRRZEXvpT24710fDbppsj3su9My+OxFYdx+7rLxfj5YHs1N88qOBmnelLYXtEuGRvoUPBgI24EdqPDZuWt3/8MZ1vIs7L9s484umMLlz/0G1Jy86Pezz+XhTwlyqCfs1vXM85+XCJhp6mYdSnH0yDf3FzJzMLkAc8PXPfGS10GIIDb6WD3yiXsXrmExNQ0Rp0xh9FnnkNafkGv+2m0uXltYwWvb6qkxRnZKzEmy8RTN0yKWCUZKw1HS9m9/HMOrF8d9oAJ+Hwc/HINB79cQ1JWNsXnns/YOedhMFtO+Ji1hw9QtW+3ZHyrZXJYC5NyQwEfpl/EZY2fowqG3/A9ahUbh+VwljOI5cqF/T6X5Ftupu211yTyK02PPkr+Cy+EjW2U8QTK5QMGHA6c678EhUDCnHAJF5/Xg79Eqq8oR8DnY8X7b1CYlczIutauMKZ+4kTUGemy29iaGvnksf/r8iL2RKFUMefmO5h0waVdRoBCryfv579Acf8DZNhCD3C/QqDNoOPohNE0O8KFkg/v3Ire55JoV6myssh98knce/diXbwY17Ztfb5HzbAiSgqKef3zryTLLhyXyT1zipgyJImbn9/U9eDTBjxMsO1myMrdbAjK/1YCKBhb1UxhazePgyhi8PnJa7VRmRou1bJr6WJmXbYQgymyhEt/WPPaixzdGfocAj4fu1cs4ejObZx/9wMMGT8xqn3sX7eKpc88RjAQXTTD3tzEnvdf4UaFloPGkXSoVRh8x41oX20t3tJStMP6L33SsWWrZEw/dSqTdUks2hGevyrn9TlR3pPRR71gbKasLNjwjEQun5DNhzvDPYfPrinlpplDTkqoui/WlzRzuEEq1nHHmdI0lO5YDBoWTsrhzc1ycjFDopLn+roRRVH2mpiUbzn1J3MKiRuBxxBFkaXPPNZlAHbSVlfL67/6MRf84EFGzDwzwtbH2Xy0lTWHmzD72rmwcRlp3nAvzUTbHg4bh9GgO16KP9D5gSVbNvbqbbE3N7Hlo/fY8tF7pOUXMOrMcxh1xpww6Y091VZe/PIoi3fXdiUIqwN+rihdS66jkU2ZY/kqaxwIArfMGsKvLhp9wgnNPrebgxvWsnv559SX9p0r1lZXy9rXX2T9W68ybPosxp93Pvljx8fs5exkk4wXMDknj0svnM/jK8O9XjX6HN7PvIwrGj5FGwj3gvhUSnbnJDNR1f+fl0KvJ/XeH1D/h/8XNu78agPOr77COHs2AHVWl8TDoRBgakH47NXX2Ejl7XfgPea900+YQNJTT3YtL9myEb873MPrFdR8mnEB1zrX4bO3S86xLD0Ju07DxIoG1EER8+WXhSqGm5torq6gubKClupKWqoraa6qiOgVM6Wlc8mDPydrmDREmDh/PsbZs3F+FTLGVEGRNIeLhJ0H+HJcId4eotz7clNJcrq7jAtVZiZDXn4JTX4++nFjSfrOdXira7B98gnWjz/GW1YmOSaA5dbbuP/DvZJotFGj5HeXhvKcphUk88xNU/jhC+sY17aLCbY9aMTIaRcOpYHPMi7ArS6hsFUqn1LU2EZ1silMPkb0etjy8fvMuemOiPuNlZbqSnav+Fwybm9u4r2//Ibx8y5gzk13oNFH9gpuXfwBa157QXaZoFAgBiMXeeiCHibad7N6dD5DWmyMqGtFfWx9x9p1/TYCfQ0N+Cp75LIpFBimTGGKXZpWsK2iDavLh1k/MHJhjTY3qw81SsavmZoXcZv7zxvOx7tqw1KH2jp8vPTlUe47N/ae5SfK8+ulXsDpQ5MZl9P3JOTW2QUSI7C0ycn6kmbOHhG9rNPXRa3VLenlrVYKUb3305m4EXiMncs+pWy7NJQAx0Inj/6NaZdfzZnfuRmFQt7YEUWRfyw9yDBnKec1rYr4QJjZtoWPso5XM3bmB3547xknbEhZGxtY8oy0B2skmirLaXrjJda9+TI5o8ainLyAd2p1bCkPnxEpxCB/2PgCk5tCZe0LKrfy1IwbuOSh73Jh8YmJbjdXVbB7xRL2r/0CT4dU6LkvggE/hzes4/CGdVgysig+L+QdNFqid+M3VZZTtm2zZHz65Vczds4ocpOM/PKDPWFJw43adBalX8wtle/g7fG9NTuslGzdyPBps2J+P51YrrqKlhdfxFcR/mBr/NcjFMyahSAIsvmAY7PNYcUJYjBI3S9+0WUAArh27UL9zjuQGwpz71stze8rMRZRrc+lZPx3mV7ykWwOX5PJyIbhuSR5/WzfvYnWpR/gdUXVMAiAoqkzueD7D6KLUDwjCAIZv/kNZZdfHqa/qHe6KPBoONwjgO1XKtk1JJ0ZJbVoMjK6DMDuaHJzSL3nblLuvgv3/v3YPl6M9bNPu8LIposu5KOMSezbJm09+OMFI7ukYJztbSi2fMIdNZ8i+uS6aB6nQZPGpxkX4FQlcNbPF6D+8VZ8VeEPTL0vQF6LlYo0S9j4zqWfMPWShTFdz72x+tXnezXSdq9YQvmu7Zx/zwPkj5sQtkwMBlnz+ots+0ReAzBtyFAW/uL31JceYevHH1B7uBehaEGgItVMvdnImJpmMq1OHGvXkhJlNX1P5LyAulGjUCYmMtIoYtQocXqPey3tbj9XP/MVL90xnRxL1J1OI7JoR40kDzzbrGNWL1X6hWkJXDk5V+JB/O/aMm6eVTBgBmo0lDQ6WH1Iqth2Zx9ewE5GZZqYVZjChh5KBS99VX5aGIFy0jBjss2Dolr7ZBI3AoHmynLWvio/q+3Olo/eo/FoKRff/1P0idKWWKv216Lf9jEzbXt73U++u5psVy21+uO6Qwfr7fzxk/38dWH/8wMDfh+fPP5/eJyxG1KIIjUH9sKBvbhTzgJTuIbWhUc3dBmAnfyw/AtGjvuNdFfBIPvWfkH1/j14Xa5QqNHjwefx4PeG/nX+7fN4en0gxUp7Qx3r3niJL99+jWmXXcXsa2+IaLR3Ry4X0JSWzqgzQmHTa6bmkWXWc89r23B0S3bOtNuYXVLNpsJsSWL8+jdfoWjydBQx9JvtjqBWk/7AA9T8+Cdh4+59+7AvXYZz1tn8Y6k0vDqzMDwfsPWll3F+tUGynuONNxF+9CCO1hYq9uyULD+QEPLMfXzEycXX/xjL6jc59JW0+N+h0+DQaaCsJOr3plAqOeuG25hy8RV95oBpC4eScusttDz3fNh40c4dtBVk09RDn6/NqOdgXhYtd/yelGYluYEWRmWaMBvCvx9BENCPHYt+7FjSf/ZTWnZsw97eTltKJi+9uZ5UHwQFAREFQUFBUbqJK0cYaaurYdfyz9i1fAl+b+/GXxCBfYmjWZ88G79CzQVjM5lbnIvtoYeoeeAByfpFje1UpFrCRLX8Xi+bP3qPubd+r9djRcPRndso39l3ONzW1Mi7f/o1ExZczNk33oZGpyfg97H0mcc5sH617DZ5Y4q5/Ke/QWswkpicyvBps9i5dQev/fclsqzyxTEQSqHYUZBJms3JuN07yXU4USbEnusrlw9omDYNCFXLTy1IZs3hcCPnSKODhf/+ss/OL30hiqJsq8yrpuT2GQq9/9zhfLijJmyCaXP7eWH9UX40f0S/zylWXpTJBcxPNjBvdPSC4redUSAxAr842MjRZueA528PNHL5gJNilBc7HfnWG4F+r5dPn/gH/iir8Cp27+C1X/6Iyx/6Nbrk40nFbfV1rHnk90xw1Pey9XHOcWzlDd2lYblmb2yqZMbQ/ucHrnvjJepLpAKUhVOmM2rWWRxYv5ry3Tv6NLrOaVmHV1BzKDFkBCS7rNy+Xxo+Ehvqce/bj37c2K6xgN/Hp0/8gyObpLlU/UWj1zP6rHMpnjuf9oY6dq9YQuXeXb1uEwz42bTobZqrKrj4hw+h7qVAo72+jkNfrZOMT730yrC2cGcOT+Xde2Zx+4tbqLeFPFBTGw9h8PoZW9PM1sJwj2hrTRX7137BuLmxiSd3J/GCC9A+9xye/eEelfpHHuXe+Spq2qUJ+d3zAV379tH4qLxnONjSgmn7Do74OiRVuFaViVrd8ffzu08PsexHD2IWlGz+clW/3w9AYkoalzz4M7JHRO5E0pPU738f6+JPwtrqCcDEynrWjczFrQk38MqSjby3qZSGXaH8JqVC4PIJ2dx/3nAKejyMmirL+eKF/1B94Pjk7XK5k6iGF7b/J6rzDaDgQOJItpknY1OHJoxGjZLfXxYKJScumI9h6lQ6toZ7r3T+ADXqPHL84V7CXcs/Y+qlC7vkefpDMBBgzavPS8YFQYEoyt8Tdi37lPKdWzn3jnvY/tnHVOyWF1EfMeMMLrzvJ2Hdc+qsLu7/op3K5AUkJbQxybqLUY5DKJE/VpPJyFqjHtd//82sB34S8+RJ3gic2vX3D84p4suSZokESKPdw7X/2cAzN03pt8dqV7VVtl1mz6pgOfJTDFwzNVcSSn1h/VFuP6MAi0ETYcuBo83p5X0ZSbPbZhfI9mgP+P0olErJBE5OLgbglQ3l/P7SsQxmZCuDY5DZOl3pt0TMYOTZ9ZWsOdwUk7jw2jdepLmqQjK+P2FUqJJXBltTA2/+9qeUbFwPQPnOrbz08wcwRTAAdUZpqCvFUUOht0Yy/qsP9lDWFHsXvSNbNsjmASampnHBD37E6LPmMv7Oh1Dd+AcODZ1HvVY+gb+Tec2rKHSG8qXuP7AYo1+++q97xwif18NH//jzgBmA6UOLmH/Xfdz9n1eYd+f3ySgcxshZZ3HNb//CHY//l2mXX91nQUjp1o28/f9+gaNNGjbtZMvH70seggazRdZ4G51lYtG9sxmVGZK/mdIQ8sSl2TtIdkjDoF+88Sp7Kpqxu/sn0SMoFKT38AQCBCorKNr2/9u7z+ioqq8B48+ZkknvCYSS0ELvNfTeRFQUUVERUdG/CooFsffy2lFQsSCKigVsKL333gREeg2BQHovc98Pk4RM7kwaCSHJ/q2VFXLmtgknd/Y9ZZ9VuvLGNTzpnfNBZk1JIfKJJ3XL2OXnu3o1Bx207v3r2cTuAeVcQjpvLfyP+kdP0+HYWYxO0gMVxtXDkzaDhnHn/00tUQAIYPDwwHXiJF252Wql7cnzuiDWgMag6GWYcybuZFs1ft15hv7vr2by3N2cikkhIy2V1d/NZPZTE+0CwMuhGYzs8WrBt3VHszKwT14ACDBpYOO8rmSlFMFTptj9jgEyAoJYFNKXDGX/fJ6dmemwtbok9ixfzMXT+vxv10x4nH5334/Jok90DbYhJr+99bLTALDNoGEMe3SyXQB4LiGN2z7flDdeNdbFjxVBfZhV9w72BXXEaHH8UJZtNLBp8xq+f/YxzpWgZTnr4kWH4zvdOnTI+3eXBgF8fXcnhxMukjOyGTdrK79s0+f4Kw5HuQE71/MvdrLkh/o2wmy0rwuJ6VlM/HFXuaZZybZqzNt+mmEfrbWb2QvgaTFxc0f7IDY7K4vlMz9l2thRTL/nVhZ98iGn9+9Fy/n7MxoUd3XTp4uZteE4/d5dxYPfb2fqskMs3hfFyYspWHMC8tSkRBIuROcd50pLz8pmv8Mk0b5X/mKuMFVRv/SypJRqAewNGTcdlyDbrKo+TYIY2LwGfZoEOxxXkZaZzdzfl3Bu7nTdazFmP36qdRNZykTH+B1ExG7BWYO+a3AIaef163XmCu/cjUH3T+THFyfrbsCmGmF84DZU90HQLMS70PWFC4o/H8XsKY/ouoENRiNdJrzAxkRPFu6N0j2p+mTG0zjpEE2SDuKXZT/TEsCqjIS16Uurb2Y4PbdLvXo0WLiAzLRUfn/7VU7t/6dY1+yMycVC0+69aTNwKDUbFj0wOjsrkyPbt7Bn2SKnH1Jga30aMeVF3WzopJiLfDnhHrILLHnVc/RYOl8/0unxEtMymTxjORM/vRSYxLpb2Biuf/Jf69+NXT5t8HEzU9fftlReqL87PcOD6N4ooMjuUE3TODn2blI2b7Yrv+DqzcS+E6iXepyQ9HNoFg8efHQ8rZraks2efeFF4n7+udBjx7i7silc3/J8oPdElp60Dx79U+P5btkbqOxsElxd2F6vpq4LHMDs6kZgnVAC6oYSWDeMgDq27x5+/qVO/5Gakc2tMzZw60//R9sL+q7F/2r6c6SG/ql9n2dTVgTpExA3Sj3OoIQNGFP09b40TGYXWg8YQofhN/Lm6khdq06zEG/mP9wdU4E1R6OnT+fCx9Pyfvb64CN6rM6ga8wmOsbb12ejycS4qZ/jHVj4A5wjaclJzHxkPKmJ9h90tRo349ZX3kYpRVzUWRZ9+iFnDuwr9nG7j7qDLjfeYvf/ej4hjVs/38TRC/phKf4eLvw4PoIQUzrLZ37GkW2bnB5bKQPtr7mObqNux8VVP2bPtmzcSvr27QsbNnLm0UftXrc0bkyDP/UPxvsjE7h71hbOJTjuyn90QDiP9A8vdl1Ny8ym8+vLSCiQLujtka0ZVcikkIKe/30vszfpGyTa1PXl67Gd8Pco2xbBNQejeXPhAf49qw9+wDYWsGCy5xVfz3C4wo9vjRBa9BlA81790Nx9iXhzOamF5cDVNGpknCc8/RSNMk7hlWhrQPEIDqFtX9txSrJGeGlkZ2Wxf80KTu7dTbp3DZ741xeruvSZG+RlYcsz/cstR+DmzZuJiIgAaKlpWvH/6MpYlQwC8zMZFBENAhjYvAYDm9cg26rx/eaT/LnpAEMPfo+71b71JhsDP9e6iQuWS90uoSknGRy9DFdr4eN/Ch6n/rDbGHnnrSilOLh5PfPff1O33bnOo/k5Wj8WZWDzGrx5YysCHSxDZXeerEx+fGGyw9m0Z5sMZG5G0TPtlGZlyPklNErRjwkxahqdjkTin+w8D1itn3/k75+/5eyh4i+LlZ/BaCQorD4tevenWc++DltOiyP+fBQ7F/3F9r9/d/i6i5sbwx+dQr22l1oHVs3+SjfI3eLuwX3Tvy4yZ9rFufM4/5z9mMg1jcJI8rBvaUg1uPJt3dFkGPT/l13q+/Py9S1oWlM/xtTuGLt3c/yWWwFINxmJ8vEg0teTWE/7D0fPgEDufGsqWZu3cGbCxEKPCfBPnSBOBdifO7Rla7pNeJ5B76+2G0g/+sAS7jyQr+XXYOBUWAiWETfgXaMmgXXDCKwbhldAYKlnaDtitWo8PGcHC/6JIjQhik9Wvo+xQMttjKsXC1s0wS9L36WzIHgQRzxsede8MhPpFbOOBinHy+TaTBYLbQcNs5u4kW3VeO73f/ICwVo+rnwzrjPhTpKnJ2/eQvp/B/Do1g1Lo0ZcP309/x2P4q5T3+kml7XqP5hB4yeU+DpXfzeTbfN/1ZWPfu09QsIvzcrWrFZ2Lv6LtT98U+h4R6UMDLjvIVr3H2xXHp2Yzm1fbHLYNernbuaH+yJoFnKpvv23ZgVLP3ybdLPzkUlegUEMvPch6rfraFeePwhMmfoRsd9/b3++22+n5vP6McsAkXGpjP16i8N0KACjOtbh9RGtMBuLrsfzd0cyYY59wO5mNrL1uQElSvMSFZ9Gn3dX6lrkABoEefDtuM7U8StZHkdH9kcm8ObCf1l7yHk+TZNBsfKJPtT1v3S+/WtXsnDae4UfXCnCWrVlr2dTZp/xJNtw6f27WNMJTT1NvZQThKWc1H325qcBpjqNadazH70H9cfV/fIn7uR37uhhFn/6IdEnj+eVHXGvz4LgwXmNMoNb1GDGnR2dHOHySRBYhgoLAvXbgmbVuO7c34Sl6pvw1/h3Y7dPG125d2YCw84vIjBDn5i3oASTF6fb3sSXT9yU9xShWa189/Qkzh+3b8Xwr1uPb4Jv5HiM/g/Cx83MlKFNuaVjXaeDi1d+8wU7Fuifdo971GN+0BBdK6MzTYJcGXRmAZzRB3Km7Gy6HIl0uBZoutHAjog2xCbpnyaVMtDjtjEEhoZhdrFgcrFgslhs/7ZYMLm4YLZYMBhNZfq0dXDTOhZOe9/hOE9lMDDgngdpPWAIqYkJfPHQOF2i2y4jbqHHrXcWeZ4zjz1GwgL7sZJzw7vj5h6lazne4tuBzX6dHR7HaLBl4580sLHT2YDJCQn8NvY+stOiuejp5jBhcq7wdp1o+ttCsuPtW7mUqyvBk5/k3CuvApCtFMtb1COrwAfd0Icfp3nPvszeeJzn/7Ddm4zWbGYteZ3ANPv/58AHHyRoYsmDkpJ4b8l/fLziUtfgXfsXcuvB5Xk/GwMDCftmFhdMZn55bhLZBYKXdKOFOSEjaZR8hC5x2zBrzrvXEo2eJJvcUZqGASueZgO1fFzQsq1YrdlYs21f7t4+NOzYhfbXXO80h9/eM/HEJGfQsrZPiVpxPl5+iPeWHqRL7BY6x9lP4jAYjdz9wQx8a9R0srde3LkoZj32gK61u2n33gyb+KTDfWLPnmHxZ1M5c0C/WorJ7MKwRybTqFOEXfnFJFsA6Ciw8nEz88N9XRxOvjg8Zgy7zhzjRIB3ofer3HqZK38QeOGOO0k/aD8euvaHH+I9ZHDBw2C1ZmMwGIlPzeT+2dsc5tkE6NU4iE9ub19kIDdm5hbWFJhwcmP72rw/qm2h++WnaRpJsReZv2Ibvy7fiik7k2Pu9TjnemlSRg1vC9+O60KTmqVbiSkyLpV3l/zHbzvPFLoQj9GgeGl4c7skz+ePH2XO808WOREqv3SDhf88GpFg8qJe6klC0qKcjgctTKYyk1SrOSEde9Kte2da1fHVtagX+1gZ6WycO4dt8391ODZ+fo1rOO5uiyGmDG1arkm7r5YgsNpNDNE0bAldHQSAJ9zqcjS4PXe1r8Oqg9GcuHgp/1qC2ZtfQkbQ78IqmiQ7H6tyzC2MpUH9+GFUX7vARhkMdL/lDn77P/u8bzGnjvNc3ywe3GjQjWWMT83k6V//Ye7207w+oqWutejQ1o0OA8AEkxdLAvoWGQC2rO3N0JYhDGlZk4ZBnmSmdWfemy/obvxZRiNbG9Qi4vAZvIxmtBTb7yXNZGRLw1okOQgADUYj10x4kiZdi86tWNYaR/TA0z+Q3995ldQE+0BIs1pZ+sU0YqMiMblYdAGgycVC+2uuK/IcWnY2Sev1Yx+3BbckCB+aJdkH023jd7PHuyWpRv2TfLZVY9aG48zfHcnkIU24uYMt6M/KyODI9s38u241h3dsRZmzwVx0S8ChnVvxJIuCiXtqTHkK31tuIf73P0jbs4coHw9dAOji5paX1ub2LmH8uTuSrcdjiTi7TxcAYjTiO+rmIq/ncvy647RdAAjwTbMhpFncuNN4Fv+GYQQ9/DDmkBBqA/3vvp8lMz6y296Snc7YyB/B6rx7KksZ2erTgR2+bfO6hMxGxcJHetEouHQt06XNL9a/WQ3eW3qQnd5taJ3wD675Ek9bs7PZNO9Hhjz4aLGPt+b7mboA0GR2IWLUGHafisPDYqRRsH1g4RdSm1EvvsnOhX+xbs43eQ9UFg8Pbpj8AnWa2g/yT0jL5I6vHLesebua+P5exwEggF/v3rR4Zyu1YhP5p04QSW6Oez+Wf/UJoS3b4OlnP/vdGh+vCwAB3Dt2sPs5Iy2VRdM/4PDWTVg8PKjbvBVPNG/FHGVh3uEM3f1yzcFobpmxkQd6N6RpTS/qBXroWgaj4tNYd0ifVuXmDs67gbMyM7l4+iTRJ44RfeIYF04e4/yJ46TldNXnJpXqFL+Dnd6t2eAfgVUZOZeQzs2fbeCrsZ3oVK/4KwLFp2by6aojzFx/rMjx8gOa1WDK0CZ29SE1KZE/33u9RAEggMWaTuvEy49tzFomfmd2k3ZmN7//7cX7Pk0I69KTx0b2LNHD1el/97JkxsfEntWPxc/VNWYTJ9zqoilDlV8pJFeVagkc9foc9mf46ZZyyi8w/QKjIufpnkgyzO6E3vMCI7o3xd3FRGxyBvd/t50txwo8JWoabRP20D1mIwYu/e6sKDb4dWGnT1v6NavBzLGddOfWNI05zz+h6zb1r1UHl1FTePYP538wJoPinp71eaR/OO4uJts4wKce0eXVy8bAvJAb7J4g82sX6ss1OYFf/qb+XOkpyfz88jO6FksAS2Y2N42fSNyjj5FiNrGlYS1SHIwJM5rNDJ/0NA07OG75ulLiz0fx65svEROpn/XmTPuh19F37Pgit0vdtYvjt9qvC6zc3Ej9ZSFHI89z/NPndEHHbu+WrAnoWeSx29Tx4bF2bhycM52EaH3y2eIwZ2XT679TWLJs1+DZvz91pn2MUoqEpUs5M2EimxuEcNHLvg607DuIwQ9c6kY+Ep3E0KlreXnVdN1YPI8BAwjNl3C6rG09HsPtX2x2uEb1R7e147o2tXTlmqYx//03ObSl+JOTTrjVZVVATxLM9kHKhH6NeHyQPoF1edM0je5vrSAyPo2OsdvpGmefv1IpA2Pf/xT/WkVnETi9fy8/vTxFV95y2E1Miw/nnzO2h6TCuj/jz59j/5oVKKVo1X+wLl9hRpaVu2dtYf1hfS+Jl8XEd/d2oU0hqTbSDx3i6HDbg5cVOBbsy6EaflgdDClo1qMP10x4ArjUEhhhMBDz5GS77VwaNKDhgr/tyv768P/4b6M+CwCA5u7DAUNNTrnW5rRbHZJN+gkdLkYDDYI8aFrTiyY1vWlS05Mtx2L5bLX930UdPzfWPNnXrvcm/nwU2/76ndP7/yEm8nSxV1kBW47JxcEDic+pnxaTgWmj2zOwufPULZnZVtYeiuaPXZEs3XsWc2osiSYvuzFv+bWp68szQ5vSpUBOQ6s1m9/+7xWHaYXCWrezjVfeu7tYa3yXtTiLPw06dmXYdYMJCqvvtDcpIzWFNT98w+4lfzt8vaClgX057NOMf14ajJtL+eUIlJbAcvBY//q069CJzccusnT/OZbuP8fZ+EstPSZrJoOjlzlskh712JM0bH8pN56fhwvf3dOFZ377xz6Rp1Ls8mlDtEsgfS+uwS8zjgtmf1YF9uJsTkqNxwc5zu2klKL7LXcy9zX7cSoxkacZmnmU925uwyt/7Sc+VT+bM8uqMWP1Uf7afZaXhjXh/Jx3HSZW3uAfoQsAQ3xcGd+rAUNa1sybneiMxd2D/uGtmH/gX1vut3zSzUb+/nsurVs0Zas1lTQXffUxW1y5/snnCGvVttDzXAk+wTW57dV3mf/BG5zcq18OriCD0USHa4u31FvSGv2HiUdEBE0b1aBdoxqsPHatrpW2XfK/3HP/XURaPfh8zVGOORg4DxB/cA8b1y0ptNsyP7f0TN0EjUyTkb11gmh/PApzUBAhr72ad5P06t+frIYNuOhg4mKLPv3tfm4Y5MmzLdxoO1f/ULC6WW+K7jQvnZMXU7h/9naHAeCjA8IdBoBg+xsbOP5hzh46UOiMcIAUozurA3pw2L2BrhUo1N+dh/qWfvmyy6GUon+zGszedILdPq1om7AHN+ul+5imWfnzvdcZdP9EajVu6vQ4mtXKqtlf6so9fP35Ir5eXgAI8PO20ySlZ/HRre10XW0+wTXoOvK2gofJuRaNp+btcRgAelpMfHNP50IDQACXRo0whYSQdfYsBmy5EmvGJfFf365ERdkvqfbvulW07j+EOs0v3avTd+gnhOXmB8x1aMsGpwEggEqJpxnxeS34MWY/TrnV5oRbKCdzWoYysq0ciErkQFQiEOn0WCML5AY8vHUTC6e/V6Ik6vnVyIjm1jO/sDKwFwc9G5OeZeX+2dt4Y0Qrbu18KRG61aqx/WQsv+88w4J/zpKUlELrhH8YHb8bN2saaQYLW3w7stu7VV59D/V3Z/KQJgxrFeIwiNo4d47DADAwtB7XP/4sZldXEqLPs2/1cvatXkb8+XO6bZ0xms0ENW6JIbQ557zrsycynrR/t9Aw7gC+DiYqFuSbHkPM+r+Zvf5vPINq0KxrD8K7dKNmw8Z57+XYru0s/WIaiRf0rbXORMRuwRLevlwDwKtJlQoCAVxMBnqGB9EzPIiXr2vBvsgEluyLYsn+c9TY+zf+mQ7WBhw6nIbt9S13LiYD74xsTYMgD95eZN96d8atNt/VvhWzlkmmMuf9UV3bOqTQpKOhLdtQt3kr3SzaDXN/4O73P6N3kyDe+Ptfft3puMn6TGwKs6d+TJtE/USQo+712OXdOu9no0Exrns9Hh3QGI9iDlDOjIoi8dPP6JyexsZGtXXBRfz5c6w1gaOq4+Lmzo1Pv0ztJiVL/1GeXD09ufHpl1n6xXSHq2Lk17xX32LPSEtat05X5tnrUitflxGj2Ltyid2N35qdTfLGv7ltwhPc2L42X607xrQVh0nJN/miWeK/9Luw2q6V2RG3jExC4pKoFZuEV1oGO+rV5JyPfVR3LmfySNf/ewuT36XWG2UwcCGiA+y1XyvYPT2DQJO+K27g4XUUvCWf8gzilTNudI5KLPUYJWfiUzMZ981WYhysVX1dm1o80r/wWeNuXt4MefAx5r7ueFKAUgbaDhlG82tvwbw1ijMbjutmMr5yfYsKXSmgX7NgZm86QabBhR0+bekeaz+L9uLpk8x54UnaDLyGnreNweKuj+j3r13pMM1KTLP+bDuToitf8E8URsNuPhjVpthjrnLHmBXk7mLkm3GditWlppTCs1cv4n76Ka/MIyOLbu7+LPBKyusmzbV85qfc8dZU274ZGaStWqU/f74gMDUpkeVffVqs95PLPzMW/8xY2iTs5ZxLMEuD+hLrUrwu2Jva2zIEaFYrG+fNYePcOSU6tyMuWiaDo5dTN/UMqwN6kGUwM+XXf7iYnEG/psH8sSuS+bsjOROXitmaSauEvbSP32X38OBqTadXzHrqpxxna+gg7h3Sntu7hOFicvx/fWT7ZjbN+1FXbnH34LrHn8nLveodFEzXkbcRceMtnP53L3tXLuXg5g0Ou4+9AoJo0L4j9dt1IrRla8wFUgVlZg/kn9NxbNy4g8ita/CI3IvFyTrc+SVFn2Prn/PY+uc8vAKCCO/clbSkRPavdZ7T1Ggy0aL3APYsX2R/jdnJdE7dD+izClRFVao7eNOmTXTp0sXhNoe3buKPd1/TlQeG1uP219+3y3HlyKK9Z3n0p10OZ27lMhoUSyf1okERawCfPrCPn158Slc+cPzDtO4/BIANhy/w3O977dIsuGWn0D96FfVT9WkEEkxe/FjrZtKNtg/x9qG+vD6ild1MvOI4PWEiiUuXApDiYmJjo9qFztzLZc7K5qanX6Z2x4rtAnZG0zS2/P4L63781tkG3P3+p/jXCXX8ej5ZsbEc6tZd1wXScOkSXOpeGgu0ce4cNvxiP2MRpbjzrakE18tJ4xKfyhsLDjB/1xk6xu3Qdf3ll2Jw45BnQ7pEdKH/p2+gJV0af5VuMrK2SV0yTPaBi4vRxNhpX9olGdY0ja8m3kf8efu8lo3PXqRDj37UeuP1vDJrcjKHevfBmmQ/1uvTVtfzZ8OetKnry6//6+YwoWxpZGVbuXvWVoczF9uH+vLDfRHFDs4czfyu0SCcgfc9RI0Gl1r5LiSlM2P1ERbti8KgFBP6hRcryW95SsvMpv2rS0nJyMZkzeSuU/pMBrk8/PzpN3Y84V2657WAZKalMfPR8brWUNcadXnX7Ro05TzIG9GuNu/e3KbI/9PvNp3gud/1+RWNBsWXYzrSt2nxU9kkrljB6QcfsiszBQeT+uLTLP18mm77PmPuI7xnX/ZNnIjvps261xutXoW5hq1HZNEnH7Bv9XLdNiWRjYFNfp3Z6dOm0N9dRAN/fhzflfSUZBZOf58j2/TX5ozRbCawbhg+NUI4vGUj1mzHPQExZl8WBQ/ioot9163JmklrB8GfIy5u7gy490Gadu/tsAUw9uwZvnt6Ehmp+oeFEU+9SAMHjSb5paek8N/GtRzeuhHNaqVO81Y0aN+JwLphJZoEmJaaypplq/l3zQoyT/6LKuLhuLhCwpsw+IFHCKgTyjMPPkbARfsxpQZXdx6Y/hVunmX7gJufdAdfQUd3bGXBx+/qyk1mF4ZNfLLIABBgSMsQfvZ1495vtukWmc41sn2dIgNAgDpNW1CvTXuO77Zvidk07yea9+qPyWymW6NAFj7ak89WHWX6qsPUiT9M3wurcXf0x61prPbrSbrRUqwZxc4krliRFwACuGdk0flIJFta1Ce9kDEslkzbdm4HDsFVGgQqpWicbiXpRBR76gbrxhuFxCdj2ncAihEEJq/foAsAXerVswsAAToMu56di/+yn5yiaaz/aTYjnnrRdl4fN6be0pqIsyuIOu44AIx2CWC9fzdOu9ZifO9GPDi0KRczzxH94dS8bSxZ2bQ4Hc3OevazRjOys1j6+TRGPPVi3s33zIF9ugAQTaN2bCLxf/5J0ATbRAuA+Pl/6QLANKOZ5XVtqRN2n4rj6/XHuLdng8J+ZYXKyrZyPjGds/GpzNlyymEAWNvXjRl3dixR61yv0WMB2Ld6Oe5e3rQdci1tBg7VLSMY6Gnh2WHNeXZYcwdHqRiuZiM9GgWyZP85sgxmlgT1Z/i5BQ6HsiTHxjD/g7do0L4T/e5+AJ/gGmydP89hd/jvLh0LDWLAtgauQSneGdna6T1k2f5zvPCH4wTbr9/QskQBIIBHly4osxktX2LzrPPnCQ8J5Z9GjXUrIW345XsCUjMcBoDuERF5AeCxndscBoChrdpSu0lzTu7dzdlDB4oco2fESvfYTTRMOcqywH7Eujhu4RzdJYyLZ07xx7uvE1vIWGRPP3+CwuoTFFafwLD6BIfVxy+kdt4qKVGHD/LXR28Tf06/AIF/ZhyjIuexzr8b/3i1wKRl0SpxH+3jdjr+fHAgIzWFBR+/y+Ftmxlw74N2wU5GWip/vPu6wwCw68jbigwAASzu7rTuP1iXQqikXN3cGDR8CIOGDyEpNoZty5exftkKXGOLP847P5PFQs9bx9B2yLUYDEYysqws8+jAzRcP2Y/xT0thy++/0PuOcZd1/ZVBlW8J3Ln4L1Z+/bnDZZH6j/sfbQcPK9G5zsancs+sbewvkGDTxWhg5ZN9ir0QedThg3z/7GO68n5330+7IcPzfk5LTuLPT6dzaqvz8SzNzlzAmGZh/fjnmDi6V5G5BR2xJidz5NrhZJ21T3xtDAzE85OPmff+Gw5vCq4ZmXQ5EolHRhbuXboQ9s2sEp/7Soif/xeRkyeDphHrbmF7/ZC8VjOXzCy6HT5DQLMW1PtJ3/1RUORTU4j/w368n9+dd1Lz2Wd02+5Y+CcrZ32uK7/lpbeo06wlmRnpLPjoHQ5vdZw095Rrbf6uMYRMgwu3dQ7ljREtUUphTUnh8KDBZF+wD5h2hgZz1k//9DrogYm06jsIgMWfTWXvyqV2rwcmptD5qO3/3v+uMdR4+mk0TePYDSNI/89+KMSCehF83PZSIm1Xs4Elj/YmNODSJJNsq0ZSepbtKy2LpPRMYpIzORufypm4VM7GpREZl8rZ+DSiEtLItjq/D3laTMz7X7dSdztrmlZuCV/L089bTzF53qWxrMHp5xkStw6fFOfjrkwWC52G38jWP3/Vdced9w/nJ58BxT7/LR3r8uaNrXSB4K5Tcdz6+UaHvSIT+4fzWCnXuz05bpxujeugSZPIGtDXdq8s8FlVOzmdNoftgwHl6kr9X3/F0qA+6SkpfPPEQyRetB8P5uLmztj3P8lrHc9IS+XMv/s4sXc3J//ZRfQJfb5UO0YTiS0GsNOnDQfPJecNJRjdJZRxdVNYOO1dp+P/GrTvxKD7J+om1ziSnpLC0i+mOVyvO9cp19oEZMQUmnOvKJ5+/gx+4BHqte2Apmn8PfVth+Mn67fryIjJL5RpDtDSmr9hP3N+WUDNmP+olXbW6WIO+YW2bMPA8RPs0ivtOhXHDdPX0y96FS2S7JfmNJrNjPtwRqmSsxeHtASWM6s1m9WzZzpMoQK29XTbDLqmxMcN8XHjlwe68siPu1j276Wb8VNDmxY7AASo2agxDTtG6DLmb/7tZ1r2HYjZ4srx3TtY/NlUkmKc5yYMuxBPvQvxKKDB7Ffx7PU5NHU+WNyZ6I8+1gWAADWenoJP67aMmPIi815/we6DxT09gy5HzuKWaeu2SNm6lazYWLvxZ1eDxBUriZwyJe9DxC8lnV4HTnLa3wsNRc34JNwzskjdvZuUHTtxb9/O6bE0q5Wk9et15Z49HafCaT1gKNv//oOEaPsP7rU/fMMNT73A72+/SuR/+lxsAP95hrMssC9WZeSm9nV47YaWecGMwd2dwAf/l5fzL1eLMxeI8XTTdeGv+uYLwlq1xc3Tm/826scz1o5JzPt37M+/EPDAA2QcO6YLAAEW1O9q93NappWbPtuAl8VEYk7QV+hqASVgUPDx6HaXNe6wMgaAAH2bBtvymubEPuctwcwOvoHPO6Ty718/69IbAWSlpzscg6YZjCxy17fgDGxeg+4NA3hpvr4O/rTtFEaj4vV89e74hWTumbXVYQB4c4c6TBpQ9Co/znj07KULApPWrqHe/eNp3X8we5bZj90642GhroerXSL74MlPYmlgW+5z7Q9f6wJAgD5j7rUbHuHi6kb9dh3zklGnJMRz4p9dbPzlB8fpRLKz8NqziFsaH2fwA4+S5hGAxQCHlvzOH+98r98+R8RNt9Jt5OhiB1EWd3eGTXySsFZtWfH1DIdj7OqmOU93Arbxr8179SWsVVvWfP+1w9bhpNgY5r35Im0HD8PTL8BhAOhbI4RrHn7iqggAAYZ3a06vtuG8seBfvtr8Hw2Sj9Eo+Sh10s7oxlNbza50vmUsva4dprsX7DhhmyOw2a8jjZMP2U3Gy87MZMPPP5QoHVNlVCVbAjPT0vj743ecjscIDK3HqBfewM2rZOPl8rNaNZbsOcmva/dwfY9WDGtXr8THiD5xjG8n6xPtdh05mpT4OHYvXeB0X3NWNi1PRxMSX2CpOE9P6kz7GI+ICCd76qXu28fxm0dBgeSZHj16UPeLzy91I/73L8tycuw1aNeJBotWYjxl/yQe8tqr+I50vtxaQVp2NhnHj2MKCsLoXfr/D2eSN2/h1H33oWU4GFxsMkGB/GleAwdS5+OP9NvmSNu/n2M33mRXplxcaLx5EwY3xw8B+9esYOH093XlHr5+JMfpJyoBdLh2BLUH3szGYzHUD/SgR6NA3Q1My8jgyLBryTxln/MyoVc31sXrW4tCW7Wlec++LPrkA7tyU7aV/vuOY8x3Lwh8+GEyjh0j4W/7tApu7dox67ZnmbXhuMPrLmsvDW/O2O6O1/CuDm6Yvp5dp+Lsyp4b1oxRzTxZPvMzjm53PoY0v53ebVgX0M2urK6/G39N6ImPm5mv1h3j1b8cP4yM6RrGy9e1ICY5g5s+3cDxi/oegV6Ng/jqro7FWmHDmfSjRzl6TYGeGaORxhvWk2FQzJz0gG6SiFdqOt0PnsYAePTqSd0ZM1BKcWrfHn5+Rd8yH9qqLSOffbVYDwaZGems/3E22xf84TQFisnsQrdb7uDMgf1Ol8Azu7ox9KFJhHfu5vD14rh4+iR/ffh/Dte5d0QpA8169CbiplvxC7GlEsqdIFNYy6IjJhcLo197l6Cwq/PvcN2hCzz92x5OxaRiyU6jfspxGqYcwycznrOuIWzx7UiGxZNbOtVlQr9wanhfmozy8A87+GuPrfHD0VKNKMWYtz/WLTdaJte9ejU9+/QBWTHk8uUPAluEN+K3t1/h/DF9Sguw5TYaPunpIpcEK478Geu9SxnAFJa7ypng+GRanY7OywGnYzZT66038RlWeFd3+tFjxP7wA/G//Ya1wLrDymKhwV/zdePc8jv3f28T8/XXdmUevXsROsP5WsP5ZRw/zsn7xtuCGIMB986d8R48CK8BAzAFXf66kan//MPJu8ZiTdF/aHkO6I9X336cffZZ+xeUouHiRbiEOh4beGHG50R/YB9EeXTvTuhX+lQcuazWbGZPnljsG3ifMffSYdgNxdo2cdUq24D6nADeXKcO9X75mWVzZjkcC2Xx8NCtMV3fN4hmq+0/wAw+PrbfW6Z9uqJa77yNadBQBn2whjNxpe+CKo67u9fjhWubV9qWvLIwbcUh3l1iPx6ua4MA5oyPQNM0Dm/dyIqvZxTaW5BmcOXbOqPzJo2BbfjKvP91o1WdS5kMPl9zhDcWHHB4jDFdw9hzOl4XkAK0qOXNT/d3LdESaY5omsaRAQPJPGPfulX7g/fxHjqUPcsXOZwk0uzMBRplKer/+Qfm4GAy09L4ZvLDuvF0Zosrd707DZ/g4q+2AraJfIs//ZC4KOdrxDvjF1KL6594joBijDUuSmZGOqu//ZLdSxc63UYpA0179Cbixlvwr+V4ctO/61ez/KtPdPcBZ66Z8ATNevQpzSVfMSkZWby35CAz1x8rNGWhxWTgzogw/tenIQGeFrq/tSLvPuaSnc6Y09/jVmB52AbtO+WN4S4LVms2e1cu4+dPPuL1XxdABQeBV0fbbhmJP3eWH557wmkA2Lr/EEY89WKZBIAlkXXhAgmLFpPmIKt915tHo4oYqJ3LlJ1N65Pn6XA8CktWNn63344p2MF4hcxMIh9/gotfz9K9pGVnk7hyJSfvuZej11xD7Hff6QJAgMCHHio0AATwGjRQV5a8YSPZiYkOtrZnzcjg9ISJl1qxrFZSNm0i6uVXONSrNyfuHEPMd9+Tea50yZLTDx3i1L33OQwA3btGUPu99/AZfq3+96dpxHzjZAYxkLzWQX5AJ13BuQwGIz1uu6vIazaaTAx7ZHKxA0AArz59qDtjBt7XDcf/7rup99OPmPz86HPXfXj6B+i2d3Tjbz5qtK1VNB9rfLwuADT6++M1eDAeFhNv3Niq2NdYHH7uZlrU8mZAsxrc1TWML8Z0rPYBIEC/pvqEwFuPxxCfmolSivDO3Rj73qe0Gzrc6QpBm/062gWAAC8Mb24XAAKM79WQyUMcJ8f+duMJhwFgbV83vh7b6bIDQMhJFdO7l648Nydny5798HPwkXWoph/eUyZjzvlbXv/zbIcTKnqOvqvEASDYJvKNeftj2g+9rtjLcIJtDN3o198vkwAQwOxiYcC9DzF80hR9SiClaNq9N3e9N51rHn7caQAI0Kx7b+56Zzqhxcjl2v6a66/6ABDA3cXE89c2Z97/uhFeyAo/6VlWvlx3jJ5vr+Tl+fvsHmQzjBa2++nXCj66Y6supVtpnd6/l++ensTSzz8mPdnxutVXWpVqCZxy3UACXR3P9O11xzg6XjuiTD9UitMSmLJtGyfvvQ8tLQ2UInDCwwQ9+KDdNsVJYRCQmELrU9F54+/MdevS8O+/yLpwgZPjx5Nx2HHg6z92LMGTn8SamEjcvF+JnTNH131YkCU8nPq/zkOZHa9jm0uzWjncuw9Z0fbjbmq98w4+w68tdN/z73/Axc/1EyYccWvf3tZCOGhQ3qzVwmScOsWJ0bfrrgvAtU1rwmbOxOBhu4le/PJLzr9rvyi6cnMjfOUKjL6+duXZiYkc7NpN14Xc4O+/sDQsfI1JTdP48cWnnI7/c3Fz5/onniO0ZWuHr5fGsV3b+fXNwp9gzV4+3PXeJyS/9X/E//ZbodsGjB9P8GOT8n6esfoIby503HKkFHi6mPCwmPB0NeFpMeHlaqKmtyu1fN2o5Zv73Y0QH1fcHSQeF/arh+T38W3tGF4gYXbU4YMs/WK63Wo/UZZg5oXcYLdSxPVta/HhLW2d3gtz1y4uio+bmXn/66pbcu5yJK5cyen/2d8fjYGBhK9ZzcUZMzj0+Qw2hNfWBWPNe/Zl6MOPE3nwX+a8MFk/iaRpc2558a3LHtN2ev9eFn32ocMgM7+IG2+h2823l9sYuvjz59jy+y+cPXKQmg3D6XDNDQTUKfyhvSDNamXn4r9Z+/3XDtdZr9OsJSOfew2jqXL9baZnZTNr/XE+XX2EuBT9wguFaVnTnesPz9at1BTSqAm3vfZuqeOHhOjzrP7+aw7m6/WLik/k3cVrQLqDL19uEPjE4F7U9LG/IZnMLgyd8DiNu3Qv8/MWFQRaU1M5cs0w3YSLmi+9iN+tt+b9HHcuiq8n3e8wTYHRaKTJiSjCLibYzYDK7SIByI6L49RDD5O6XZ/ZHcC1VSvSDx2yBaJFMAYEEPrlF7g2K17C56hXXiH2B/uB6EWNq0vds8e25JqDBbyLYg4NxejtjcHLE6OnFwZPT/t/e3pw8fMvyDytTyFgCQ8nbPa3dsFddkICh/v01bUYBj36KIEP3G9XlrvcWn6mWiE0Wr68WDcHZ/khPfz8uXHKS3m5A8vSks8/5p/li52+7t+mEzc9PAlLdDRHrx3ufPknpWi0bCnm2vZLlZ1PTOPw+STczEa8XE14Wsx4uppwNxtLnKJIOPb873uZvcl+KIGvu5ku9f1pH+pH+zA/WtX2wdVsxJqdzf41K1i1fA3rz8N2n3Zk5GsFbBTsyR8PdS8yefz7Sw/y0XJ9QvpcLiYD39/bpURr2BaHNSWFgxFddWN4a778MlGvvgpZWfxTJ5BTAfqE/COfe40VX88g5oz9Q67J7MKdb39crGX2iiMzLY21c75h56L5utfMFleGPvQY4V1KP/7vSrt4+hQLp79nl1jc0z+AO978sFizmK9WCWmZzFx3jC/XHiMpvXirL90ZEcZtAdEsnPae7rXhjz1d4jgiMy2NLX/OY9uf83SB9tUSBFauEL+E3H18ueHJ5wkJv/LrfwJc/Gqmwxm3Ua+8ijkkBM/evQHwrVGTVv0G6yaChDRsTLMtu3G9aD8Y2rVVK7yGDMn72ejrS+hXXxL55GS7PH+50v4puilbubvjc/11BN53H+ZajpfkcsRr0CBdEJi0di3W1FSHEyWsaWlETnm6VAEgQObJk5Ts2c7GHBpK3a++1LXuGb298Rl5E7HfzrYrj/n+O/zH3Y0hXw7JZAdLxXn27FXsp8M6TVvQtHtvDqxfnVfmV6sOI595Be+g8klD0OfOezixZ6fDNYiVUnjXtyVNtjRsiNeA/iQudbyqimefProAECDYy5VgL1cHe4iy0j9n9ZD84lIyWbzvHIv32SYAmY2K5rV8aB/qS/3AcD7Sssjwt/8bczMb+fT29sVaPWjSgHCyrVamr9T3MCgFU29pW+YBINhmvbt36kRygRn4US+9lPeA0uRsDFE+nmQWSIz+2/+9THam/u7QbdTtZRYAAphdXel39/2Ed+7K4s+m5i2V5hdSi+sef5bAumFldq4rIaBOXW579V12L13A4S0b8QoMosdtYyp1AAjg7Wrm0QGNuatrPWasOcqsDccKXewBoF2oL83aNmfb/F91qYLWzfmGhh26FKtlVNM0DqxfzZofZpF0UZ/39GpSZYNA/9p1uXHKi6UaA1IWMiMjufilk8kCViunJz1G2OxvcWvRArBNBkiOi+HIti24eXvTfuh1NLgQz4Vf9YOAg598Qhd4GFxdqf3hB5x7/XVdUFYYc1go/rffjs8NN5Rqdq57x44YfX3JjovLK9PS0khatw7vgfoxg9FTPyLj6FFdud/tt2Nwdydh8WIyT54s8XUUxlSjBqEzZ+aNGSrIf8wYYr/73i4wzY6+QMJff+N7o20tYU3THC8VV8R4wIKGPPgoXoFBnD10gDrNWtLhmhtw9Sw6wXhpubi5M/iBR/nlVf1MydrNW2Fyv3TugHvvdRoE+o12vHasKH8RDQJwdzHaLS9YUGa2xu5Tcex2MG4v15s3tiK8RvG6bpVSPDGoSd6a5fk9P6w5Q1sVPSyjtDx799IFgflbqF2yrTQ5e5G9de3/nh0FgDUbhpdojG1J1G3RmrHvf2ZL+q9p1G/XAaOp8CE0VyujyUT7odfZxj1WMX4eLkwZ2pRxPerxycoj/LD5pMM1yQHah/qhDAZ6jR7LvAJDaWLPRrJ35RLaDCw8tVzUkUOsnPU5kQf/LXQ7v5DiN7aUpyoZBIa2bM3wx57B1aP8PlyLcu6ddwrtftVSUjj1wAPU/+knzLVqYXJx4fonniMjNQWTxYI1PoEjg/TZ1j379sWjs+NVOZTRSI3nn8dUo6ZuBmtBHr174X/HHXh0735Z41aUyYRn/37Ez/vVrjxxyVJdEJiyfTsxs2bpjuHaogU1pjyFMpsJemwS6f/9R8LixSQuWkzGsSIStxbB6OtL6MyvcKnjvCXApU4dvAYPInGhfR6ymK+/xmfEDSilyDhyRN+qazLhXoJUPABGkzlvJYsrJbRla9oOvpZdi/+yK2/asx/HE/ItS9imDe5dupCy2T61kjk0FI/uZT+cQhSPq9nIvT0bFNo9W5TRXUK5oV3JWsOUUkwZ0pQ6fu58tuoISsHEfuGM6lSysWcl5dGzJ/BmoduE16xDVGhtLpx0fn8wGE0MfuCRvFU4yoPJbKZRR8dLlYqrS7CXKy9d14LxvRrw8YpD/LzttF2S+l6NgwjLSXgf1qY9oS1bc3LvHrtjbPjlB0LCm5KSEE9SzMWcrwsk5v37IinxcYVeh7uPLz1uG0OyqxfMKnpxgvJW5YLAFn0GMPC+hyr0iSxl61ZdQOFIdvQFTt1/P2E//IDRy/aE7uJmq4TRMz7HWnCWrcFA8BOPF3pMpRSB94/HFBzM2eeeg3zjDA1eXvjeeCN+o2/DJazsuiy8Bg7UBYFJK1eiZWSgcrpTrSkpRD79jG7MmcpJZ5M7CUUphWvTprg2bUrQxImkHzpE4uIlJC5ZTPqhw5SEwdOTul9+WeSkDYCAu+/W/Z+lHzpE8rr1ePbsQdJafSuge7t2GMuxFa8s9bp9LIkXL+TlMmvZdyD12nfi+KpVdtsF/u8BThYIAv3HjLlqksRWVxP6NaKmtyu/bD/FvjMJTlsyHGlZ25sXri3dknhKKe6MCOPOiCvXxelSrx7m0FCnPQLKYqH2O+/QPSmeP954welxIm68hcByyO8mKrdavm68eWNr7u/VkC/XHWX3qXha1PLm0QGN83rYlFL0HH033z8zyW7flPg4Zj810dFhi2Qwmmh/zXVE3HgrFnd3Nm92nMf4SqtSQWCL/oMZ/MAjFZpWQsvOJur1N3TlxoAATAEBpBdIE5N+6DCnJ04kdMaMvIAp4/RpYr/XZ573HTmyWAENgO+IG7A0asTFmV+BVcOjawQ+w4fnzYotSx7dumHw8LBLNWNNSiJ50yY8e9lSPpx//wOHN/WgRyZiCXe8yoBSCtfGjXFt3JigCQ+TFRNDdkwM2YmJWJOSsSYl2v87KQlrYhLWpCRMQUH4j73Lab6/gtxat8atQwfd5JqYr7/Gs2cPJ6lhehbr2FcDs8WV6x9/hvicsYG+NWqSkJCg284jIoLgyZOJnjYNLTMTn+uvk67gq4DZaGB0l1BGdwklLTObfZHx7DgRx46Tsew4Gcu5BMfrmXu5mvhkdIcSrblc0ZRSePbs6fAeCBD8xBNYGjYkOCEB74ZNSTiin6EeFFqPzjcUP2m9qH7qBXrw2g3OU13VbBhOk649S5zH15GGHbvQ+45xeYm7ryZVKghs1qt/hecVi/tlLukH9Del4Mcm4dG9O8dH3ULWeftB+ikbN3H2hRcJefMNlFJEf/Ch3ULqYEtbEvjwQyW6FrdWLalTRLdwWTC4uODZp49udYnEpUvx7NWL5E2bif3uO/31tWmD/913F/s8Jn9/TP5lPxg9V8C4uzldIAhM3rCB1F27SNm6Vbd9SccDVjRlMNitm+lMwLi78b/jdqwZGZWmpbM6cTUb6RDmT4cw29+CpmlExqex40Qs20/EsvNkLGfi0qjr78YbI1rZrelcWXj27uUwCPTo3h2/20fn/RzQphPpUaftcq4pg4HB/3u00o7PE1eP7rfeyaEtGxxm7iiOgDqh9BlzL/XatC/jKys7VSoIrGjZ8fFEf/ihrty1RQt8RoxAGQzUnfEZJ26/Q5eSJP733zHXqYNn7966YAps3ZXOJjZcDbwGDtQHgcuWE/zkk/pVObB16YS8+SaqHMfrlJRn3764hIWRccJ+JuaZJyfrgnJjUCCWUqzRXFkoFxeMLo5zboqri1KK2r5u1PZ10+UOrKzcO3e2rVoTH59XZvTxIeSNN+yGJhhdXel99/0s+3Qq1mxbGpC+d91HjQaNrvg1i6rHr2Yt2g6+lh0L/ijRfv616tBm0DDaDBx61edZvLqvrgxpmkbG8eNkX7yIuXZtTDVrlnmrYfT06XazZHPVePbZvBuXa7Nm1J76Iace+J/deD2AC9OmEffrPN3+xoAA/MeNK9NrLWuevXqiLBa09EvdUtmxsZy89z7dMlBgaxnNXej9aqEMBvzH3kXUy6/YlTtKru3ZvUeFtzoLUVUZXF2p+dyzRD7zLGRmYvDyovbUDzHX0D8Ih7XpwN0ffEbkf/sJCqt/1a5xKyqn3neMIys9nYOb15OZnoannz+e/gF4+gXYvuf78vIPwMMvAFMRCy1cTap8EJgVG0v8H38QN3eu3aoaBm9vXBs3xtK4MZYmTbA0DscS3hijZ+nGzKUfPkzs9z/oyr2HD8e9fTu7Ms+ePan54gtEvaBfzSErUp9XMOjhh0p9XVeKwd0dj549SFpmv/JJ2p49um3dOnbA7847r9SllYjPDTcQPfUjh8F8fkUtFSeEuDw+w4fj3qkT6YeP4NqkcaHrifvWqFmsoQ5ClJTBaGTg+IcZcJ9tOFZVe/ivkkGglrMObdzcuSQuXabrygOwJiSQsm0bKdu22ZWb69bF0rgxrk2a4DVoIK7F6PLTNI1zb7ypa9lTbm4EP/6Yw338Ro0i8/SZIpdOc6lfH9+RlWOAs/egQbogsCDl5katAl06VxODmxt+o2/jwiefFrKRAY9ulWdFACEqK3PNmphrSnAnKl5VC/5yVakgMDsmhguffUbc3HkOlw0rjsxTp8g8dYqk5cu58MkneA0dQvCkSYXOMk1bu5bkDRt05YH3jy/0Bhb06CNknj5NwoIFTrcJfvyxItfwvVp49ukDJpNubd38gp98otgzdiuK3+jRXPzyK93SVbncWrXC5Fe5s+kLIYQQV2dzTCldePhhoj+cWuoA0JHEhYs4Muxaot54g6zYWN3rKiuL+A+n6srNtWsXOfNVGQyEvPUmbh07OHzdrX17PPv3L92FVwCjtzcehSRPdu8aYbdm8tXKFBiI93XDnb5emVLDCCGEEM5UqSAQq1bkJi716qFcS7jWaWYmsd/O5sigwVz88kus+VYC8V23jmwHQWfwU5MxWCy68oIMLi7UnTYNl/r6wcyOloe72nkN0i8VB2Dw8KDWa69dtd3ABQWMHev0tcqWGkYIIYRwpHJ8Il8mo78//veMo8GCBTRctJAm27fRYOECak+dSuCDD+I5oD/mYnRRWhMTOf/uexwZeg3xf/xB9vnzBCxfodvOPSICLwfr5jq9Pl9f6n7x+aWkyQYDQY89hnu7doXveBXy6t8fHAR6wVOewlz76kuU6YylUSM8evfSlRt9fHBt2bICrkgIIYQoW1VqTKAdpfDo0QPfkSPx6tsnbzUOsK2xa6lfH0v9+jB4UF65NTmZ9EOHSNm5i4tffUX2hQsOD5119iyRT01BubtjKDhuzGCgxjNPl7gFz6VOHerPm0v60aMY/fwdpkKoDEwBAfjedCNxv8zNK/Ps16/STG7JL+DucSSvXmNX5tm371WV21AIIYQorSoXBJpCQvC96SZ8bxyBuVbJEqcaPDxwa9sWt7Zt8Rt1Mxdnfs3FmTPRUlMdbq8VSPgM4Hfrrbg2blyqa1cuLsWajXy1qzFlCqagYFJ27MCtTRuCHnqw0nVrA7h36Yz/XWOI+eZbwNaiHDRpUhF7CSGEEJVDlQoCfac8RaN77y2TlhqDhwdBEx7G95ZRXJg2nbi5c8Fa+KLtRh8fgiZOuOxzV3YGD48q8XtQShH81FP4XH89GWfO4NmjBwY3t4q+LCGEEKJMVKkxgZa2bcu8q84cHEzIKy/T4M8/8Ozbt9BtAx+ZiNHXt0zPLyqWMhhwbd4c74EDJQAUQghRpVSpILA8WRo1ou6nnxD6zTcOJwZYmjTBb9SoCrgyIYQQQoiSkyCwhDy6dKbezz9R6713MTVqhKYU5pYtqPvpJ6irfKFoIYQQQohcErWUgjIY8Bk2DNWzJyuXLqXvwIGYvb0r+rKEEEIIIYpNWgIvl7T+CSGEEKISkiBQCCGEEKIakiBQCCGEEKIakiBQCCGEEKIakiBQCCGEEKIakiBQCCGEEKIakiBQCCGEEKIakiBQCCGEEKIakiBQCCGEEKIakiBQCCGEEKIakiBQCCGEEKIakiBQCCGEEKIakiBQCCGEEKIakiBQCCGEEKIaKnUQqJSyKKX+TykVqZRKVUptVkoNLOa+tZVSPyul4pRSCUqpP5RSDUp7LUIIIYQQomQupyVwFvAY8D3wCJANLFBK9ShsJ6WUJ7AS6A28AbwItANWK6UCLuN6hBBCCCFEMZlKs5NSqjNwK/Ckpmnv5pR9C+wF3ga6FbL7g0A40FnTtK05+y7M2fdx4JnSXJMQQgghhCi+0rYEjsTW8vd5boGmaWnAV0BXpVTdIvbdmhsA5ux7AFgOjCrl9QghhBBCiBIobRDYDjioaVpCgfItOd/bOtpJKWUAWgPbHLy8BWiolPIq5TUJIYQQQohiKlV3MBACnHVQnltWy8l+/oClGPv+5+zESqlgIKhAcVOA/fv3O9utXKSmpnLy5El27NiBm5vbFT23EJdL6q+ozKT+isosX7ziUpHXUdog0A1Id1Celu91Z/tRyn1zPYhtMonOuHHjithVCCGEEOKq0RLYWVEnL20QmIqtRa8g13yvO9uPUu6b6xPglwJlrYA52MYbHihi/4L2YvtPKI2GwB/A9cCRK3Te0ux3Oe+xIs5b2a63LI5REdd7petvdfv9Xs4x5HqLJvW3/I8h11t+x2gKzAUOXuZ5L4vSNK3kOym1FKitaVrzAuX9gWXAdZqmzXewnwFIAWZqmvZggddeBZ4DvDVNSyzh9bQg5z9A07R9JdxX0zRNlWSfijxvafa7nPdYEeetbNdbFseoiOu90vW3uv1+L+cYcr3F2l/qbzkfQ663/I5xOfW3LJV2YsguoLFSyrtAeZd8r+tommYF/gE6Oni5C3C0pAFgGXj5Cp/vcs9bmv3K4j1eyfNWtusti2NU1PWWlvx+y/cYcr3lqzr8fsviGHK9V/YYV1xpWwK7AJuwzxNowRbVXtQ0LSKnLBRwz0kBk7vvU8BbQCdN07bllDUB9gHvapo2pRTXUyER9dUSyQtRGlJ/RWUm9VdUZldL/S3VmEBN0zYrpX4B3syZrXsYuAuoB9yTb9Nvsa0Mkr+J9BPgPuBvpdS7QCa2lUfOAe+V5nqEEEIIIUTJlHZiCMAY4FXgTsAP2ANcq2namsJ20jQtUSnVB/gA2xhAA7AKmKRpWnQpryUaW1NsafcvrYo6rxBlQeqvqMyk/orK7Kqov6XqDhZCCCGEEJVbaSeGCCGEEEKISkyCQFFpKKU0pdRLFX0dQlwuqcuiMpP6W3VIECiuKKXU2JwbiKM0QUJUGlKXRWUm9VeABIFCCCGEENWSBIFCCCGEENWQBIEOSDP5laOUWqWUWuWgfJZS6viVv6LKT+pvxZC6XDak/lYMqb+XrzLWXQkChRBCCCGqIQkChRBCCCGqIQkCi0Ep1TqnSfyoUipNKRWllJqplAoosN1LOU3BjXK2j1NKxSulvlZKuVfU9YvqTeqvqMyk/orKqjLU3ctZNq46GQg0AL4GooAWwHighVIqQtMvu/IzcAx4GmgP3AucB566YlcsxCVSf0VlJvVXVFZXfd2VILB4PtE07b38BUqpTcAcoAewtsD2OzVNuyfftgHAPchNyBENUA7KjVf6Qqowqb9XhtTl8iH198qQ+lv2rvq6K93BxaBpWmruv5VSrkqpQGBTTlF7B7t8VuDntUCAUsq7nC6xMosFfB2Uh13h66iypP5eMVKXy4HU3ytG6m8Zqwx1V4LAYlBK+SulpiqlzgGpQDS2JlsAHwe7nCzwc2zOd79yusTK7AjQVCkVlFuglGoDdK+4S6papP5eMVKXy4HU3ytG6m8Zqwx1V7qDi+dnoBvwDrALSMIWQC/CcSCd7eQ4jpraq7uZwGPAYqXUV0Aw8ACwD5An97Ih9ffKkLpcPqT+XhlSf8veVV93JQgsglLKD+gPvKhp2iv5ysMr7qoqtdzKnA2gadq/SqkxwCvA+8B+4E5gNNCnIi6wKpH6W66kLpczqb/lSupvOaosdVeCwKLlRuYFI/FHr/B1VBVeOd8Tcgs0Tfse+L7AdksK7qhpmjzJl5zU3/Ijdbn8Sf0tP1J/y1elqLsSBBZB07QEpdQaYLJSygycAQYB9Sv2yiqtTkAycKKiL6Q6kPpbrqQulzOpv+VK6m85qix1V4JAx+yaybE1h38MPJTz2hJgKBB55S+tclJK3YStS+F24EtN07Iq9oqqNKm/5UjqcrmT+luOpP6Wq0pXd5U+V6FQSk0EpgKNNE07UtHXUxUopY5h6374DXhU07TkCr6kKkvqb/mSuly+pP6WL6m/5acy1l1pCXRMmsnLmKZpV1UTeBUn9bccSV0ud1J/y5HU33JV6equBIH5SDO5qMyk/orKTOqvqKwqc92V7uB8pJlcVGZSf0VlJvVXVFaVue5KECiEEEIIUQ3JsnFCCCGEENWQBIFCCCGEENWQBIFCCCGEENVQtQwClVKdlFLTlFL7lFLJSqmTSqmflVKNHWzbTCm1SCmVpJSKUUrNVkoFOdjuWaXUn0qpc0opTSn1UiHnH6CUWqmUuqCUilNKbVFK3VnGb1NUQVdB3b1VKbVDKZWmlIpWSn2llAos47cpqqiyrr9KqaZKqbeVUruUUolKqbNKqb+VUh2dnL92zvnilFIJSqk/lFINyuv9iqqlIuuvUqqJUuoDpdSGnPuvppSqd9nvqTpODFFKzQW6A78Ae4CawMOAJxChadrenO3qADuBeOCjnNefAE4CnTVNy8h3TA2IAnYDg4GXNU17ycG5rwN+BzYCcwANGAX0Ah7TNO2DMn/Dosqo4Lr7P+ATYDnwK1AHeAQ4DHTRNC2t7N+xqErKuv4qpd4F7gHmAVsAH+B+oB4wRNO0ZfnO7QnsyNnmPSATmIRtJYe2mqZdLMe3LqqACq6/Y4GvgP1AFtAWqK9p2vHLelOaplW7L6Ab4FKgLBxIA77LV/YJkAKE5isbgC1wG19g/3o53wNzXn/JybmXYFtD0JKvzITtg3R3Rf9u5Ovq/qqougu4ALHAanIeHnPKr83ZZ0JF/27k6+r/Kuv6C3QAPAscLwA4D6wrUD45Z/9O+cqaYvtAfaOifzfydfV/VXD99Qe8cv79RM6x6l3ue6qW3cGapm3Q8rWE5JQdAvYBzfIV3wT8pWnayXzbLQMOYmu9y7//8WKe3huI1TQtPd++WcAFILUEb0NUQxVYd1sCvsBPWs5dKGffv4Ak4NYSvRFRLZV1/dU0bbumaUkFjncRWFvgeAAjga2apm3Nt+0BbC3boxCiCBVZfzVNi9E0LbGs3kuuahkEOqKUUkANbMEYSqnaQDCwzcHmW4B2pTzVKqCFUupVpVQjpVRDpdTzQEfg7VIeU1RjV6juWnK+O3pQSQXaKaXkfiJKrJzqb83c4+Uc0wC0LuSYDZVSXiW7ciGuTP0tT3LTvuR2oDbwU87PITnfzzrY9izgr5SyOHitKK8CPwPPAoewdQNPAW7SNO3XUhxPiCtRdw9h637onr9QKdUECALcAL8SHlMIKOP6q5TqCXTNdzywdaVZCjkmQK0SXLMQua5E/S03EgRim6EDTMc2WeObnGK3nO/pDnZJK7BNSaRjaxKeC9wG3IHtieE7pVREKY4nqrErVXc1TbuA7eHlLqXU40qpBjk3q5+wDbAv8TGFKOv6q5QKBn4AjmHfs1Je93NRjV3B+ltuTFfiJFczpVRN4G9ss3hGapqWnfNSbreXo4jdtcA2JTENiADaa5pmzbmGn7GNKZgKdCnFMUU1VAF1935sN693c74AvgOOADdiGxsoRLGUdf1VSnkAf2Fbw7VHgbFW5fU3IaqpK1x/y021DgKVUj7AQmwD3ntqmhaZ7+XcptyQgvvllMXkn9xRzPO5YJsO/nZuAAigaVqmUmoh8LBSyqXgwFMhCrrSdRdA07R44HqlVCi2FAYnNE07oZTaAERrmhZX0mOK6qms62/OvfVXbOP+Bms5qTryicHWMuPsmACRDl4TQqcC6m+5qbZBoFLKFZgPNAYGaJq2P//rmqadUUpFY5uwUVBnYFcpThuA7XdudPCaGVv3vKPXhMhTQXU3//FPYst3hVLKF1uag3mXc0xRfZR1/c2Z9PEt0B8YpWna6oI7aZpmVUr94+SYXYCj5THzUlQ9FVF/y1O1HBOolDJiG8vUFbhZ07SNTjadB1yrlKqbb9/+2P7zfynFqc8DccCInMg/95iewHDggKZp0iUhnKrAuuvMm9gebCTJuShSOdXfj4FbgAeLmFw3F+iUfzWGnIlN/RwcUwidCq6/5aK6rhjyIbaVDuZjG+xuR9O073K2q4st63cctvF6nsCTwGlsCUfzmnSVbdm3MMAdeBpYCazIeXm2pmkncrZ7Fngt57jfYmv5uwdbTqA7NE37vkzfrKhSKrjuTsGWL3AztgS7NwCDgOc0TXu9TN+oqJLKuv4qpR7F9gCyEVuC3oJ+0zQtOWdbr5xjemEb05oJPIbtHtxW07TosnmXoqqq4PrrA0zIKe8ODMG28k0cEKdp2rRSvanLzTZdGb+w5erTnH0V2LYFsBhIxrZiwndAjRIes0+BbUdj+yCNxZZVfBO2FDEV/ruRr6v7qyLrLjAsp94m5BxzI7an4Qr/vchX5fgq6/oLzCrseBRYUQHbUoe/YBvMn4jtw7xRRf9e5KtyfFVk/cU2DtvZdsdL+56qZUugEEIIIUR1Vy3HBAohhBBCVHcSBAohhBBCVEMSBAohhBBCVEMSBAohhBBCVEMSBAohhBBCVEMSBAohhBBCVEMSBAohhBBCVEMSBAohhBBCVEMSBAohhBBCVEMSBAohhBBCVEMSBAohqh2l1HGl1KyKvg4hhKhIEgQKIaospVQ3pdRLSinfir4WIYS42ihN0yr6GoQQolwopZ4A3gHqa5p2PF+5BbBqmpZZUdcmhBAVzVTRFyCEEFeapmnpFX0NQghR0aQ7WAhRJSmlXsLWCghwTCml5XzVKzgmUCk1Nue1Hkqpj5RS0UqpOKXUDKWUi1LKVyn1rVIqNufrbaWUKnA+g1LqUaXUPqVUmlLqXM7+flfuXQshRPFJS6AQoqr6FWgM3AZMAi7klEcXss/HQBTwIhABjAfigG7ASeAZ4BrgSWAv8G2+fWcAY4GvgY+A+sDDQDulVHfpehZCXG0kCBRCVEmapu1RSu3AFgT+XmBMoLPdzgHXaLbB0p8opRphC/hmaJr2v5x9PweOA+PICQKVUj2Ae4HbNU37Id95VgKLgJuBHxBCiKuIdAcLIcQlX2n2s+U2Awr4KrdA07RsYBvQIN92NwPxwFKlVGDuF7AdSAL6lvuVCyFECUlLoBBCXHKywM/xOd9POSjPP9YvHPABzjs5bvDlX5oQQpQtCQKFEOKS7BKU5+9TNmALAG93sn9h4xCFEKJCSBAohKjKrlQi1CPAAGC9pmmpV+icQghxWWRMoBCiKkvO+e5bzuf5GTACzxd8QSllkhVLhBBXI2kJFEJUZdtzvr+ulPoRyATml/VJNE1brZSaATytlGoLLMk5Vzi2SSOPAHPL+rxCCHE5JAgUQlRZmqZtVUo9DzwADMHW+1G/nM71gFJqO3A/8AaQhS2VzHfA+vI4pxBCXA5ZO1gIIYQQohqSMYFCCCGEENWQBIFCCCGEENWQBIFCCCGEENWQBIFCCCGEENWQBIFCCCGEENWQBIFCCCGEENWQBIFCCCGEENWQBIFCCCGEENWQBIFCCCGEENWQBIFCCCGEENWQBIFCCCGEENWQBIFCCCGEENWQBIFCCCGEENWQBIFCCCGEENXQ/wPWO3JSULn9hgAAAABJRU5ErkJggg==\n"
     },
     "metadata": {
      "needs_background": "light"
     }
    }
   ],
   "source": [
    "# select only descriptor float columns\n",
    "filtered_scrobbles = scrobbles.loc[:, float_headers]\n",
    "# resample by month and mean\n",
    "filtered_scrobbles = filtered_scrobbles.resample(\"3W\").mean()\n",
    "\n",
    "# filtered_scrobbles[\"instrumentalness\"].plot()\n",
    "filtered_scrobbles.plot(linewidth=3)\n",
    "\n",
    "plt.title(f'Listening Characteristics Over Time')\n",
    "plt.legend(loc = \"upper right\", fontsize = \"xx-small\")\n",
    "plt.ylim([0, 1])\n",
    "plt.grid()\n",
    "plt.show()"
   ]
  },
  {
   "source": [
    "# Imports & Setup"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "\n",
    "from google.cloud import bigquery\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib as mpl\n",
    "mpl.rcParams['figure.dpi'] = 120\n",
    "\n",
    "from analysis.net import get_spotnet, get_playlist, track_frame\n",
    "from analysis.query import *\n",
    "from analysis import float_headers, days_since\n",
    "\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "\n",
    "client = bigquery.Client()\n",
    "spotnet = get_spotnet()\n",
    "cache = 'query.csv'\n",
    "first_day = datetime(year=2017, month=11, day=3)"
   ]
  },
  {
   "source": [
    "## Read Scrobble Frame"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "scrobbles = get_query(cache=cache)"
   ]
  },
  {
   "source": [
    "## Write Scrobble Frame"
   ],
   "cell_type": "markdown",
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "scrobbles.reset_index().to_csv(cache, sep='\\t')"
   ]
  }
 ]
}