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   "source": [
    "# 3. Applying HMP to real data"
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    "For this tutorial we will use the data from application 2 of this [this](https://www.sciencedirect.com/science/article/abs/pii/S1053811914002249) paper. For the purpose of this tutorial we will only use the first 5 participants of the data (see the [HMP](https://direct.mit.edu/imag/article/doi/10.1162/imag_a_00400/125469) paper for the method and [https://github.com/GWeindel/man_hmp/tree/main/results/replication/SAT_data](https://github.com/GWeindel/man_hmp/tree/main/results/replication/SAT_data) for the whole (preprocessed) data).\n",
    "\n",
    "In this experiment, participants performed a random-dot motion task. They were asked to indicate the direction of motion of a cloud of moving dots. While a proportion of the dots moved in a target direction, the remainder moved randomly and makes the direction discrimination more difficult. Difficulty of the task was calibrated per subject. Prior to each trial, participants received a cue that indicated whether they should respond as quickly as possible or whether they should focus on giving an accurate response: the 'speed' and 'accuracy' conditions. In this tutorial we will ignore the difference between these conditions, but in the next tutorial we will look at how we can take conditions into account in the HMP analysis."
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   "source": [
    "## Data preparation"
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   "source": [
    "First, we load the required packages and download the data. Depending on your internet connection this can take some time"
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    "import os\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import requests\n",
    "from mne.io import read_info\n",
    "\n",
    "import hmp\n",
    "\n",
    "# Declaring path where the EEG data will be stored\n",
    "epoch_data_path = os.path.join('sample_data', 'eeg')\n",
    "os.makedirs(epoch_data_path, exist_ok=True)\n",
    "\n",
    "# URLs of the first 5 participants in the SAT experiment, navigate the osf folder and adapt those if you want to do this tutorial on other data (e.g. P3, N2pc)\n",
    "base = \"https://files.osf.io/v1/resources/29tgr/providers/github/results/replication/SAT_data/\"\n",
    "file_urls = [base + f\"processed_500Hz_{(x+1):04d}_epo.fif\" for x in range(5)]\n",
    "\n",
    "# Download and save each file if not already in folder\n",
    "for i, url in enumerate(file_urls, start=1):\n",
    "    file_path = os.path.join(epoch_data_path, f'participant{i}_epo.fif')\n",
    "    if not os.path.exists(file_path):\n",
    "        response = requests.get(url)\n",
    "        with open(file_path, 'wb') as f:\n",
    "            f.write(response.content)\n",
    "\n",
    "# Recovering individual files and participant names\n",
    "subj_files = [os.path.join(epoch_data_path, f) for f in os.listdir(epoch_data_path) if f.endswith('.fif')]  # Create a list of files with full paths\n",
    "subj_names = [os.path.splitext(f)[0] for f in os.listdir(epoch_data_path) if f.endswith('.fif')]  # Extract subject names based on file names\n",
    "\n",
    "# Recovering channel information (assuming the same for all participant)\n",
    "info = read_info(subj_files[0], verbose=False)"
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      "Processing participant sample_data/eeg/participant3_epo.fif's epochs eeg\n",
      "Processing participant sample_data/eeg/participant4_epo.fif's epochs eeg\n",
      "Processing participant sample_data/eeg/participant5_epo.fif's epochs eeg\n",
      "Processing participant sample_data/eeg/participant1_epo.fif's epochs eeg\n",
      "Processing participant sample_data/eeg/participant2_epo.fif's epochs eeg\n",
      "<xarray.Dataset> Size: 115MB\n",
      "Dimensions:      (participant: 5, epoch: 200, channel: 30, sample: 960)\n",
      "Coordinates:\n",
      "  * epoch        (epoch) int64 2kB 0 1 2 3 4 5 6 ... 193 194 195 196 197 198 199\n",
      "  * channel      (channel) <U3 360B 'Fp1' 'Fp2' 'AFz' 'F7' ... 'CPz' 'CP2' 'CP6'\n",
      "  * sample       (sample) int64 8kB -60 -59 -58 -57 -56 ... 895 896 897 898 899\n",
      "    stim         (participant, epoch) float64 8kB 1.0 nan 1.0 ... 2.0 1.0 2.0\n",
      "    resp         (participant, epoch) object 8kB 'resp_left' ... 'resp_right'\n",
      "    RT           (participant, epoch) float64 8kB 907.0 nan ... 468.0 350.0\n",
      "    cue          (participant, epoch) object 8kB 'AC' nan 'AC' ... 'SP' 'AC'\n",
      "    movement     (participant, epoch) object 8kB 'stim_left' ... 'stim_right'\n",
      "    trigger      (participant, epoch) object 8kB 'AC/stim_left/resp_left' ......\n",
      "  * participant  (participant) <U16 320B 'participant3_epo' ... 'participant2...\n",
      "Data variables:\n",
      "    data         (participant, epoch, channel, sample) float32 115MB 1.437 .....\n",
      "Attributes:\n",
      "    sfreq:      300.0\n",
      "    lowpass:    35.0\n",
      "    highpass:   1.0\n",
      "    reference:  None\n",
      "    n_trials:   920\n",
      "    tmin:       -0.2\n",
      "    tmax:       2.9966666666666666\n"
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    "# At what frequency we want the data, high sampling frequencies require a lot of RAM, decrease when necessary\n",
    "sfreq = 300\n",
    "\n",
    "# Then we read the data as shown in Tutorial 1\n",
    "epoch_data = hmp.io.read_mne_data(subj_files, data_format='epochs', sfreq=sfreq,\n",
    "                            verbose=False, subj_name=subj_names)#Turning verbose off for the documentation but it is recommended to leave it on as some output from MNE might be useful\n",
    "\n",
    "print(epoch_data)"
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    "As you can see the HMP formatted EEG dataset contains some info on the experiment such as the sampling frequency, the number of trials, the number of participants, and the number of channels. The data is epoched between stimulus and response onset (RT) and it also contains metadata such as the RTs and other information on the experiment."
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    "At this point we have the epoched EEG data with 30 channels, which we need to transform to PC space."
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      "900 positively defined intervalsbetween 0.0033333333333333335 and inf seconds.\n",
      "Rejection summary: \n",
      " 0 trials rejected based on threshold of None \n",
      " 19 trials rejected based on interval limit of (0.0033333333333333335, inf) \n",
      " 1 trials detected with no interval (e.g. preprocessing or interval exceeding epoch)) \n"
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     "name": "stderr",
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     "text": [
      "/home/gabriel/ownCloud/projects/RUGUU/hmp/hmp/transformers/base.py:135: UserWarning: Found intervals with a max value value of 2172.0, assuming intervals are in milliseconds and converting to seconds\n",
      "  warn(f\"Found intervals with a max value value of {np.round(max_rt,2)}\"\n"
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   "source": [
    "preprocessed = hmp.transformers.ProjPCA(epoch_data, interval_id = \"RT\", n_comp=10)"
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    "The selection of principal components is used for computational reasons, higher number of PCs give more accurate solution but also increases RAM usage. The advice is thus to have the largest amount of PCs that fits in your computer. Here for the example and speed reason we use 10 PCs as declared in `n_comp`. Note that lower than 10 PCs is usually not recommended as you'll be wasting information that can be used by HMP.\n",
    "\n",
    "After this operation the data is now arranged as 10 PCs x 64690 samples: all trials of all participants were concatenated for the remainder of the analysis."
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       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (sample: 654, component: 10, trial: 900)&gt; Size: 24MB\n",
       "array([[[ 1.5310520e-01,  2.6818237e-01,  5.2298021e-02, ...,\n",
       "          7.9390293e-01,  9.6655685e-01, -5.5403852e-01],\n",
       "        [-1.2010367e+00,  1.1731410e+00,  7.1406670e-02, ...,\n",
       "         -7.4618518e-01, -1.8281198e-01,  3.8645348e-01],\n",
       "        [-3.0051148e-01, -3.6731592e-01, -8.8190877e-01, ...,\n",
       "          1.3288690e-01, -4.6341172e-01, -9.4244581e-01],\n",
       "        ...,\n",
       "        [-1.0288599e+00, -9.5637895e-02,  7.9477325e-02, ...,\n",
       "         -1.8898611e-01,  6.5398413e-01, -1.0675595e+00],\n",
       "        [-1.1164492e-01,  7.7711993e-01, -1.4065570e+00, ...,\n",
       "          3.5607472e-01,  5.6394857e-01,  1.0271224e-01],\n",
       "        [-3.6646339e-01, -7.1605653e-01,  7.9246116e-01, ...,\n",
       "         -6.9521028e-01,  1.4301595e-01, -1.3402353e-01]],\n",
       "\n",
       "       [[ 4.2239037e-01,  4.4505268e-01, -3.8963005e-02, ...,\n",
       "          7.4948013e-01,  8.8290751e-01, -8.9126790e-01],\n",
       "        [-1.3272848e+00,  1.3449454e+00,  6.9998085e-02, ...,\n",
       "         -1.0428437e+00, -2.6193208e-01,  5.1822031e-01],\n",
       "        [-3.3770907e-01, -1.0494056e+00, -1.4558451e+00, ...,\n",
       "          3.8395664e-01, -6.3467842e-01, -7.6225263e-01],\n",
       "...\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan]],\n",
       "\n",
       "       [[           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        ...,\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan]]],\n",
       "      shape=(654, 10, 900), dtype=float32)\n",
       "Coordinates:\n",
       "  * sample       (sample) int64 5kB 0 1 2 3 4 5 6 ... 648 649 650 651 652 653\n",
       "    stim         (trial) float64 7kB 1.0 1.0 2.0 2.0 2.0 ... 2.0 2.0 2.0 1.0 2.0\n",
       "    resp         (trial) object 7kB &#x27;resp_left&#x27; &#x27;resp_right&#x27; ... &#x27;resp_right&#x27;\n",
       "    RT           (trial) float64 7kB 907.0 1.095e+03 1.37e+03 ... 468.0 350.0\n",
       "    cue          (trial) object 7kB &#x27;AC&#x27; &#x27;AC&#x27; &#x27;AC&#x27; &#x27;AC&#x27; ... &#x27;AC&#x27; &#x27;AC&#x27; &#x27;SP&#x27; &#x27;AC&#x27;\n",
       "    movement     (trial) object 7kB &#x27;stim_left&#x27; &#x27;stim_left&#x27; ... &#x27;stim_right&#x27;\n",
       "    trigger      (trial) object 7kB &#x27;AC/stim_left/resp_left&#x27; ... &#x27;AC/stim_rig...\n",
       "  * component    (component) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
       "  * trial        (trial) object 7kB MultiIndex\n",
       "  * participant  (trial) &lt;U16 58kB &#x27;participant3_epo&#x27; ... &#x27;participant2_epo&#x27;\n",
       "  * epoch        (trial) int64 7kB 0 2 3 5 7 8 9 ... 192 193 194 195 197 198 199\n",
       "Attributes:\n",
       "    sfreq:    300.0\n",
       "    offset:   0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>sample</span>: 654</li><li><span class='xr-has-index'>component</span>: 10</li><li><span class='xr-has-index'>trial</span>: 900</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-272375b1-68ba-4ac7-9850-0f7be62a7151' class='xr-array-in' type='checkbox' checked><label for='section-272375b1-68ba-4ac7-9850-0f7be62a7151' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>0.1531 0.2682 0.0523 -1.63 0.8936 0.72 ... nan nan nan nan nan nan</span></div><div class='xr-array-data'><pre>array([[[ 1.5310520e-01,  2.6818237e-01,  5.2298021e-02, ...,\n",
       "          7.9390293e-01,  9.6655685e-01, -5.5403852e-01],\n",
       "        [-1.2010367e+00,  1.1731410e+00,  7.1406670e-02, ...,\n",
       "         -7.4618518e-01, -1.8281198e-01,  3.8645348e-01],\n",
       "        [-3.0051148e-01, -3.6731592e-01, -8.8190877e-01, ...,\n",
       "          1.3288690e-01, -4.6341172e-01, -9.4244581e-01],\n",
       "        ...,\n",
       "        [-1.0288599e+00, -9.5637895e-02,  7.9477325e-02, ...,\n",
       "         -1.8898611e-01,  6.5398413e-01, -1.0675595e+00],\n",
       "        [-1.1164492e-01,  7.7711993e-01, -1.4065570e+00, ...,\n",
       "          3.5607472e-01,  5.6394857e-01,  1.0271224e-01],\n",
       "        [-3.6646339e-01, -7.1605653e-01,  7.9246116e-01, ...,\n",
       "         -6.9521028e-01,  1.4301595e-01, -1.3402353e-01]],\n",
       "\n",
       "       [[ 4.2239037e-01,  4.4505268e-01, -3.8963005e-02, ...,\n",
       "          7.4948013e-01,  8.8290751e-01, -8.9126790e-01],\n",
       "        [-1.3272848e+00,  1.3449454e+00,  6.9998085e-02, ...,\n",
       "         -1.0428437e+00, -2.6193208e-01,  5.1822031e-01],\n",
       "        [-3.3770907e-01, -1.0494056e+00, -1.4558451e+00, ...,\n",
       "          3.8395664e-01, -6.3467842e-01, -7.6225263e-01],\n",
       "...\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan]],\n",
       "\n",
       "       [[           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        ...,\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan]]],\n",
       "      shape=(654, 10, 900), dtype=float32)</pre></div></div></li><li class='xr-section-item'><input id='section-b5db9a0c-6928-4468-b614-e9e460a2f022' class='xr-section-summary-in' type='checkbox'  checked><label for='section-b5db9a0c-6928-4468-b614-e9e460a2f022' class='xr-section-summary' >Coordinates: <span>(11)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>sample</span></div><div class='xr-var-dims'>(sample)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 ... 649 650 651 652 653</div><input id='attrs-e98dc0bc-de84-4621-bfb4-12340c32458b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e98dc0bc-de84-4621-bfb4-12340c32458b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2000dd85-4396-4875-aab6-2f79a6690169' class='xr-var-data-in' type='checkbox'><label for='data-2000dd85-4396-4875-aab6-2f79a6690169' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([  0,   1,   2, ..., 651, 652, 653], shape=(654,))</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>stim</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.0 1.0 2.0 2.0 ... 2.0 2.0 1.0 2.0</div><input id='attrs-504e1cdf-eafc-4a50-a653-91594b023866' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-504e1cdf-eafc-4a50-a653-91594b023866' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d53971e7-4b0d-4a24-a056-394a2375cac5' class='xr-var-data-in' type='checkbox'><label for='data-d53971e7-4b0d-4a24-a056-394a2375cac5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1., 1., 2., 2., 2., 1., 1., 1., 1., 1., 1., 2., 1., 2., 1., 2., 2.,\n",
       "       1., 2., 1., 1., 2., 2., 2., 1., 2., 1., 2., 1., 2., 1., 1., 2., 1.,\n",
       "       1., 2., 1., 1., 1., 2., 2., 2., 1., 2., 2., 1., 1., 1., 2., 2., 1.,\n",
       "       2., 1., 2., 2., 2., 2., 2., 2., 1., 1., 1., 2., 2., 2., 2., 1., 1.,\n",
       "       2., 2., 2., 1., 1., 1., 1., 1., 2., 1., 1., 2., 2., 1., 1., 2., 1.,\n",
       "       2., 1., 1., 2., 1., 1., 1., 2., 2., 2., 2., 1., 2., 1., 2., 2., 1.,\n",
       "       1., 1., 2., 1., 1., 2., 2., 2., 1., 2., 1., 1., 1., 2., 1., 2., 1.,\n",
       "       2., 2., 2., 2., 1., 2., 2., 1., 1., 1., 1., 1., 2., 2., 2., 1., 1.,\n",
       "       2., 1., 2., 1., 2., 1., 1., 1., 2., 1., 1., 1., 1., 2., 1., 1., 2.,\n",
       "       2., 1., 2., 1., 1., 2., 1., 2., 1., 1., 1., 1., 1., 1., 2., 2., 1.,\n",
       "       2., 2., 2., 1., 1., 1., 2., 2., 2., 1., 1., 1., 2., 2., 1., 1., 2.,\n",
       "       1., 1., 1., 2., 1., 2., 2., 2., 2., 1., 1., 2., 2., 1., 1., 1., 2.,\n",
       "       1., 2., 2., 1., 2., 1., 1., 2., 1., 2., 2., 2., 1., 2., 2., 1., 2.,\n",
       "       2., 2., 1., 2., 2., 2., 2., 1., 2., 1., 2., 1., 2., 2., 2., 2., 1.,\n",
       "       2., 1., 1., 2., 1., 2., 1., 2., 1., 1., 1., 2., 2., 1., 2., 2., 1.,\n",
       "       1., 1., 2., 2., 2., 2., 1., 1., 1., 2., 2., 1., 1., 2., 1., 1., 2.,\n",
       "       1., 2., 2., 1., 1., 2., 1., 2., 1., 2., 2., 1., 2., 1., 1., 1., 1.,\n",
       "       2., 2., 1., 1., 2., 2., 1., 2., 1., 1., 1., 1., 2., 2., 1., 2., 1.,\n",
       "       1., 2., 2., 1., 2., 2., 2., 1., 2., 1., 1., 2., 2., 1., 1., 1., 2.,\n",
       "       2., 1., 2., 1., 1., 1., 2., 2., 2., 1., 1., 1., 1., 1., 2., 2., 2.,\n",
       "...\n",
       "       1., 2., 1., 2., 2., 2., 2., 1., 1., 2., 2., 1., 1., 2., 2., 1., 2.,\n",
       "       2., 1., 1., 2., 2., 1., 2., 1., 1., 2., 1., 2., 2., 1., 2., 1., 1.,\n",
       "       1., 1., 1., 2., 2., 2., 1., 1., 2., 1., 1., 2., 2., 1., 1., 1., 2.,\n",
       "       1., 2., 2., 2., 2., 2., 1., 2., 2., 2., 1., 2., 2., 1., 1., 2., 2.,\n",
       "       2., 1., 1., 1., 2., 2., 1., 2., 1., 1., 1., 1., 2., 2., 1., 1., 2.,\n",
       "       2., 2., 1., 2., 1., 2., 1., 2., 2., 1., 1., 1., 1., 1., 2., 1., 1.,\n",
       "       2., 1., 1., 1., 1., 1., 1., 2., 2., 1., 2., 2., 1., 1., 2., 2., 2.,\n",
       "       1., 2., 2., 2., 1., 2., 1., 2., 1., 1., 1., 2., 2., 1., 1., 2., 1.,\n",
       "       1., 2., 1., 1., 2., 1., 1., 2., 2., 2., 2., 2., 1., 2., 1., 2., 1.,\n",
       "       1., 1., 1., 1., 2., 2., 1., 1., 2., 2., 1., 2., 1., 1., 2., 2., 1.,\n",
       "       2., 2., 2., 1., 2., 2., 2., 1., 1., 1., 2., 2., 1., 2., 1., 2., 2.,\n",
       "       1., 2., 2., 2., 2., 2., 1., 2., 2., 1., 1., 1., 1., 2., 1., 1., 1.,\n",
       "       1., 1., 1., 1., 1., 2., 2., 2., 1., 1., 2., 2., 2., 1., 1., 2., 2.,\n",
       "       1., 2., 2., 2., 2., 1., 1., 1., 1., 2., 1., 2., 1., 2., 2., 1., 1.,\n",
       "       2., 1., 2., 1., 2., 2., 1., 2., 2., 1., 2., 2., 2., 1., 1., 1., 2.,\n",
       "       2., 1., 1., 2., 2., 2., 1., 1., 1., 2., 1., 2., 2., 1., 2., 1., 1.,\n",
       "       2., 2., 1., 2., 1., 1., 2., 2., 2., 2., 2., 1., 2., 2., 2., 2., 1.,\n",
       "       1., 1., 1., 2., 2., 2., 2., 2., 2., 2., 1., 2., 2., 2., 2., 1., 2.,\n",
       "       1., 1., 1., 1., 2., 2., 1., 1., 2., 1., 1., 1., 1., 1., 1., 1., 2.,\n",
       "       2., 2., 1., 2., 2., 2., 1., 2., 2., 2., 1., 2., 2., 2., 1., 2.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>resp</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;resp_left&#x27; ... &#x27;resp_right&#x27;</div><input id='attrs-8aa1ba95-5a92-45d6-b158-a73781d19983' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-8aa1ba95-5a92-45d6-b158-a73781d19983' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b584d729-9d64-4da2-853d-aaf8e96495e6' class='xr-var-data-in' type='checkbox'><label for='data-b584d729-9d64-4da2-853d-aaf8e96495e6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "...\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;, &#x27;resp_right&#x27;,\n",
       "       &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_right&#x27;, &#x27;resp_left&#x27;,\n",
       "       &#x27;resp_right&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>RT</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>907.0 1.095e+03 ... 468.0 350.0</div><input id='attrs-852556b2-90b7-43dc-b7bd-1c8eef3bb4d9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-852556b2-90b7-43dc-b7bd-1c8eef3bb4d9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-90d0ca0b-b88e-4188-8879-8f0d4d1f98a7' class='xr-var-data-in' type='checkbox'><label for='data-90d0ca0b-b88e-4188-8879-8f0d4d1f98a7' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([ 907., 1095., 1370.,  907.,  891.,  411.,  621.,  539.,  592.,\n",
       "        560.,  724.,  987., 1083., 1059.,  429.,  454., 1032., 1053.,\n",
       "        445.,  553.,  806.,  629.,  760.,  576.,  474., 1228.,  850.,\n",
       "        952., 1325.,  378.,  689.,  427.,  500.,  680.,  703., 1227.,\n",
       "        363.,  432.,  492.,  722., 1111.,  783.,  524., 1409.,  733.,\n",
       "       1263.,  391., 1098., 1093.,  957.,  641., 1297., 1165., 1396.,\n",
       "       1302., 1436.,  404., 1262.,  620., 1409.,  352.,  712., 1060.,\n",
       "        475.,  546.,  610.,  803.,  370.,  371., 1532., 1488.,  459.,\n",
       "       1613., 1474.,  644.,  398.,  968.,  316., 1193.,  985.,  358.,\n",
       "        736.,  477., 1317.,  957.,  567., 1390.,  574.,  362.,  362.,\n",
       "        888.,  437.,  693.,  415.,  758.,  437.,  515.,  497.,  358.,\n",
       "        775.,  492.,  960.,  807.,  336.,  590., 1565.,  694., 1298.,\n",
       "        474., 1585.,  305.,  842.,  703.,  457.,  637.,  618.,  727.,\n",
       "        301., 1044.,  377.,  381.,  550.,  886.,  334.,  635.,  757.,\n",
       "        365., 1092.,  400., 1250., 1078.,  519.,  655.,  417.,  587.,\n",
       "       1420.,  621.,  380., 1219.,  900., 1033.,  684.,  486., 1086.,\n",
       "        499.,  632.,  660., 1158.,  627.,  734.,  458.,  420.,  459.,\n",
       "        421.,  866.,  614.,  995.,  397., 1474.,  505., 2172., 1246.,\n",
       "       1043., 1560.,  970.,  522.,  486.,  830.,  830.,  650., 1153.,\n",
       "        675.,  806.,  430., 1763.,  676.,  649.,  862.,  805.,  709.,\n",
       "...\n",
       "        590., 1219., 1141.,  639.,  328., 1290.,  607.,  842.,  400.,\n",
       "        634.,  436.,  527.,  337., 1364.,  428.,  571.,  474.,  478.,\n",
       "        722., 1355.,  598., 1323., 1333.,  552.,  617.,  419.,  456.,\n",
       "        622., 1160., 1323.,  365., 1846.,  856., 1556.,  567.,  458.,\n",
       "        440., 1085.,  846.,  394.,  407., 1264.,  785.,  485., 1041.,\n",
       "        759.,  945.,  850., 1143.,  794.,  624.,  673.,  360.,  491.,\n",
       "        583.,  553.,  300.,  665.,  484.,  718., 1214.,  619.,  392.,\n",
       "        622.,  584.,  482.,  342.,  350.,  540.,  480.,  521.,  380.,\n",
       "        471., 1095.,  723.,  645.,  365.,  377.,  356.,  750.,  490.,\n",
       "        440.,  442.,  662.,  934.,  573.,  603.,  534.,  743.,  460.,\n",
       "        500.,  399.,  390.,  992.,  379.,  975.,  715.,  876.,  566.,\n",
       "        626.,  899.,  799.,  580.,  642.,  399.,  521.,  533.,  711.,\n",
       "        379.,  440.,  431.,  572.,  774.,  616.,  619.,  608.,  578.,\n",
       "        820.,  487.,  571.,  411.,  989.,  423.,  529.,  957.,  373.,\n",
       "        425.,  556., 1158.,  494.,  434.,  363.,  447.,  356.,  375.,\n",
       "        557.,  741.,  390., 1014.,  352.,  434.,  595.,  373.,  597.,\n",
       "        431.,  560.,  568.,  668.,  810.,  388.,  406.,  448.,  456.,\n",
       "        549.,  487.,  860.,  366.,  374.,  699.,  877.,  497.,  365.,\n",
       "        359.,  345.,  496.,  577.,  404.,  350.,  589.,  471.,  330.,\n",
       "        452., 1016.,  348.,  921.,  971.,  789.,  531.,  468.,  350.])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>cue</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;AC&#x27; &#x27;AC&#x27; &#x27;AC&#x27; ... &#x27;AC&#x27; &#x27;SP&#x27; &#x27;AC&#x27;</div><input id='attrs-63027678-b628-45c0-980d-16db71fbd36b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-63027678-b628-45c0-980d-16db71fbd36b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0e23d993-304f-46b0-a4af-f187be554d20' class='xr-var-data-in' type='checkbox'><label for='data-0e23d993-304f-46b0-a4af-f187be554d20' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;,\n",
       "...\n",
       "       &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;,\n",
       "       &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;,\n",
       "       &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;AC&#x27;, &#x27;SP&#x27;, &#x27;AC&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>movement</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;stim_left&#x27; ... &#x27;stim_right&#x27;</div><input id='attrs-48556a2f-21c5-40d8-bbd6-b74ac00e62b5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-48556a2f-21c5-40d8-bbd6-b74ac00e62b5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9dae0833-e493-41b6-a042-2745e8383f71' class='xr-var-data-in' type='checkbox'><label for='data-9dae0833-e493-41b6-a042-2745e8383f71' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;,\n",
       "...\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;,\n",
       "       &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;,\n",
       "       &#x27;stim_right&#x27;, &#x27;stim_right&#x27;, &#x27;stim_left&#x27;, &#x27;stim_right&#x27;],\n",
       "      dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>trigger</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;AC/stim_left/resp_left&#x27; ... &#x27;AC...</div><input id='attrs-7347e0ac-3b7a-49f8-bdc7-72c24a6b2617' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7347e0ac-3b7a-49f8-bdc7-72c24a6b2617' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5e0e49e3-1a7f-45cf-bc6a-4d4c52c68412' class='xr-var-data-in' type='checkbox'><label for='data-5e0e49e3-1a7f-45cf-bc6a-4d4c52c68412' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;AC/stim_left/resp_left&#x27;, &#x27;AC/stim_left/resp_right&#x27;,\n",
       "       &#x27;AC/stim_right/resp_left&#x27;, &#x27;AC/stim_right/resp_right&#x27;,\n",
       "       &#x27;AC/stim_right/resp_right&#x27;, &#x27;SP/stim_left/resp_left&#x27;,\n",
       "       &#x27;AC/stim_left/resp_right&#x27;, &#x27;SP/stim_left/resp_right&#x27;,\n",
       "       &#x27;AC/stim_left/resp_left&#x27;, &#x27;AC/stim_left/resp_left&#x27;,\n",
       "       &#x27;AC/stim_left/resp_left&#x27;, &#x27;AC/stim_right/resp_right&#x27;,\n",
       "       &#x27;AC/stim_left/resp_left&#x27;, &#x27;AC/stim_right/resp_right&#x27;,\n",
       "       &#x27;SP/stim_left/resp_left&#x27;, &#x27;SP/stim_right/resp_right&#x27;,\n",
       "       &#x27;AC/stim_right/resp_right&#x27;, &#x27;AC/stim_left/resp_left&#x27;,\n",
       "       &#x27;SP/stim_right/resp_right&#x27;, &#x27;SP/stim_left/resp_right&#x27;,\n",
       "       &#x27;AC/stim_left/resp_left&#x27;, &#x27;SP/stim_right/resp_left&#x27;,\n",
       "       &#x27;AC/stim_right/resp_right&#x27;, &#x27;AC/stim_right/resp_right&#x27;,\n",
       "       &#x27;SP/stim_left/resp_left&#x27;, &#x27;AC/stim_right/resp_right&#x27;,\n",
       "       &#x27;AC/stim_left/resp_left&#x27;, &#x27;AC/stim_right/resp_left&#x27;,\n",
       "       &#x27;AC/stim_left/resp_left&#x27;, &#x27;SP/stim_right/resp_right&#x27;,\n",
       "       &#x27;AC/stim_left/resp_right&#x27;, &#x27;SP/stim_left/resp_left&#x27;,\n",
       "       &#x27;SP/stim_right/resp_right&#x27;, &#x27;SP/stim_left/resp_right&#x27;,\n",
       "       &#x27;SP/stim_left/resp_left&#x27;, &#x27;AC/stim_right/resp_right&#x27;,\n",
       "       &#x27;SP/stim_left/resp_right&#x27;, &#x27;SP/stim_left/resp_left&#x27;,\n",
       "       &#x27;SP/stim_left/resp_left&#x27;, &#x27;SP/stim_right/resp_right&#x27;,\n",
       "...\n",
       "       &#x27;SP/stim_left/resp_left&#x27;, &#x27;SP/stim_right/resp_left&#x27;,\n",
       "       &#x27;SP/stim_right/resp_right&#x27;, &#x27;AC/stim_right/resp_right&#x27;,\n",
       "       &#x27;SP/stim_right/resp_left&#x27;, &#x27;AC/stim_left/resp_right&#x27;,\n",
       "       &#x27;AC/stim_right/resp_left&#x27;, &#x27;AC/stim_left/resp_left&#x27;,\n",
       "       &#x27;AC/stim_left/resp_right&#x27;, &#x27;SP/stim_left/resp_left&#x27;,\n",
       "       &#x27;SP/stim_left/resp_left&#x27;, &#x27;AC/stim_right/resp_left&#x27;,\n",
       "       &#x27;SP/stim_right/resp_right&#x27;, &#x27;SP/stim_left/resp_right&#x27;,\n",
       "       &#x27;AC/stim_left/resp_right&#x27;, &#x27;AC/stim_right/resp_right&#x27;,\n",
       "       &#x27;SP/stim_left/resp_right&#x27;, &#x27;SP/stim_left/resp_left&#x27;,\n",
       "       &#x27;AC/stim_left/resp_left&#x27;, &#x27;AC/stim_left/resp_left&#x27;,\n",
       "       &#x27;SP/stim_left/resp_right&#x27;, &#x27;SP/stim_left/resp_right&#x27;,\n",
       "       &#x27;SP/stim_left/resp_left&#x27;, &#x27;SP/stim_right/resp_left&#x27;,\n",
       "       &#x27;SP/stim_right/resp_right&#x27;, &#x27;SP/stim_right/resp_left&#x27;,\n",
       "       &#x27;SP/stim_left/resp_left&#x27;, &#x27;SP/stim_right/resp_left&#x27;,\n",
       "       &#x27;SP/stim_right/resp_left&#x27;, &#x27;AC/stim_right/resp_left&#x27;,\n",
       "       &#x27;SP/stim_left/resp_left&#x27;, &#x27;AC/stim_right/resp_right&#x27;,\n",
       "       &#x27;AC/stim_right/resp_right&#x27;, &#x27;SP/stim_right/resp_left&#x27;,\n",
       "       &#x27;AC/stim_left/resp_right&#x27;, &#x27;AC/stim_right/resp_right&#x27;,\n",
       "       &#x27;AC/stim_right/resp_right&#x27;, &#x27;AC/stim_right/resp_right&#x27;,\n",
       "       &#x27;SP/stim_left/resp_left&#x27;, &#x27;AC/stim_right/resp_right&#x27;], dtype=object)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>component</span></div><div class='xr-var-dims'>(component)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4 5 6 7 8 9</div><input id='attrs-62bbc5b5-45c5-4c43-9acf-596c86dd678c' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-62bbc5b5-45c5-4c43-9acf-596c86dd678c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-07b51616-4f29-410f-8e41-5d887dd5ab17' class='xr-var-data-in' type='checkbox'><label for='data-07b51616-4f29-410f-8e41-5d887dd5ab17' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trial</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>MultiIndex</div><input id='attrs-ab792925-7cee-4b0a-a50c-12032ffaf92e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ab792925-7cee-4b0a-a50c-12032ffaf92e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7ce94bff-5889-401d-a282-8ee500520f1a' class='xr-var-data-in' type='checkbox'><label for='data-7ce94bff-5889-401d-a282-8ee500520f1a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[900 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>participant</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>&lt;U16</div><div class='xr-var-preview xr-preview'>&#x27;participant3_epo&#x27; ... &#x27;particip...</div><input id='attrs-d50739d2-d207-4ab4-8edc-35b11837826d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d50739d2-d207-4ab4-8edc-35b11837826d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4b374c8-7e30-4e46-962e-4a28058896a1' class='xr-var-data-in' type='checkbox'><label for='data-d4b374c8-7e30-4e46-962e-4a28058896a1' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[900 values with dtype=&lt;U16]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>epoch</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 2 3 5 7 8 ... 194 195 197 198 199</div><input id='attrs-23bb1d75-e8e1-40d9-8889-eea361bf2ef5' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-23bb1d75-e8e1-40d9-8889-eea361bf2ef5' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d4540c61-fdca-4f47-9abd-39cf68bb7444' class='xr-var-data-in' type='checkbox'><label for='data-d4540c61-fdca-4f47-9abd-39cf68bb7444' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[900 values with dtype=int64]</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-14223ff6-7c6e-4c4a-9226-8b765aa23ab2' class='xr-section-summary-in' type='checkbox'  ><label for='section-14223ff6-7c6e-4c4a-9226-8b765aa23ab2' class='xr-section-summary' >Indexes: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>sample</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-7ce5cef7-cad0-4dd3-8015-17c19fea5126' class='xr-index-data-in' type='checkbox'/><label for='index-7ce5cef7-cad0-4dd3-8015-17c19fea5126' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([  0,   1,   2,   3,   4,   5,   6,   7,   8,   9,\n",
       "       ...\n",
       "       644, 645, 646, 647, 648, 649, 650, 651, 652, 653],\n",
       "      dtype=&#x27;int64&#x27;, name=&#x27;sample&#x27;, length=654))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>component</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-773848ad-b896-4900-82ea-fff67c448d79' class='xr-index-data-in' type='checkbox'/><label for='index-773848ad-b896-4900-82ea-fff67c448d79' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4, 5, 6, 7, 8, 9], dtype=&#x27;int64&#x27;, name=&#x27;component&#x27;))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>trial<br>participant<br>epoch</div></div><div class='xr-index-preview'>PandasMultiIndex</div><input type='checkbox' disabled/><label></label><input id='index-f16672ee-10a2-41df-b3b3-477fa160544b' class='xr-index-data-in' type='checkbox'/><label for='index-f16672ee-10a2-41df-b3b3-477fa160544b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(MultiIndex([(&#x27;participant3_epo&#x27;,   0),\n",
       "            (&#x27;participant3_epo&#x27;,   2),\n",
       "            (&#x27;participant3_epo&#x27;,   3),\n",
       "            (&#x27;participant3_epo&#x27;,   5),\n",
       "            (&#x27;participant3_epo&#x27;,   7),\n",
       "            (&#x27;participant3_epo&#x27;,   8),\n",
       "            (&#x27;participant3_epo&#x27;,   9),\n",
       "            (&#x27;participant3_epo&#x27;,  12),\n",
       "            (&#x27;participant3_epo&#x27;,  13),\n",
       "            (&#x27;participant3_epo&#x27;,  14),\n",
       "            ...\n",
       "            (&#x27;participant2_epo&#x27;, 189),\n",
       "            (&#x27;participant2_epo&#x27;, 190),\n",
       "            (&#x27;participant2_epo&#x27;, 191),\n",
       "            (&#x27;participant2_epo&#x27;, 192),\n",
       "            (&#x27;participant2_epo&#x27;, 193),\n",
       "            (&#x27;participant2_epo&#x27;, 194),\n",
       "            (&#x27;participant2_epo&#x27;, 195),\n",
       "            (&#x27;participant2_epo&#x27;, 197),\n",
       "            (&#x27;participant2_epo&#x27;, 198),\n",
       "            (&#x27;participant2_epo&#x27;, 199)],\n",
       "           name=&#x27;trial&#x27;, length=900))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-bb38c6d7-8415-4f68-9714-2cd011a9933a' class='xr-section-summary-in' type='checkbox'  checked><label for='section-bb38c6d7-8415-4f68-9714-2cd011a9933a' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>sfreq :</span></dt><dd>300.0</dd><dt><span>offset :</span></dt><dd>0</dd></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (sample: 654, component: 10, trial: 900)> Size: 24MB\n",
       "array([[[ 1.5310520e-01,  2.6818237e-01,  5.2298021e-02, ...,\n",
       "          7.9390293e-01,  9.6655685e-01, -5.5403852e-01],\n",
       "        [-1.2010367e+00,  1.1731410e+00,  7.1406670e-02, ...,\n",
       "         -7.4618518e-01, -1.8281198e-01,  3.8645348e-01],\n",
       "        [-3.0051148e-01, -3.6731592e-01, -8.8190877e-01, ...,\n",
       "          1.3288690e-01, -4.6341172e-01, -9.4244581e-01],\n",
       "        ...,\n",
       "        [-1.0288599e+00, -9.5637895e-02,  7.9477325e-02, ...,\n",
       "         -1.8898611e-01,  6.5398413e-01, -1.0675595e+00],\n",
       "        [-1.1164492e-01,  7.7711993e-01, -1.4065570e+00, ...,\n",
       "          3.5607472e-01,  5.6394857e-01,  1.0271224e-01],\n",
       "        [-3.6646339e-01, -7.1605653e-01,  7.9246116e-01, ...,\n",
       "         -6.9521028e-01,  1.4301595e-01, -1.3402353e-01]],\n",
       "\n",
       "       [[ 4.2239037e-01,  4.4505268e-01, -3.8963005e-02, ...,\n",
       "          7.4948013e-01,  8.8290751e-01, -8.9126790e-01],\n",
       "        [-1.3272848e+00,  1.3449454e+00,  6.9998085e-02, ...,\n",
       "         -1.0428437e+00, -2.6193208e-01,  5.1822031e-01],\n",
       "        [-3.3770907e-01, -1.0494056e+00, -1.4558451e+00, ...,\n",
       "          3.8395664e-01, -6.3467842e-01, -7.6225263e-01],\n",
       "...\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan]],\n",
       "\n",
       "       [[           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        ...,\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan],\n",
       "        [           nan,            nan,            nan, ...,\n",
       "                    nan,            nan,            nan]]],\n",
       "      shape=(654, 10, 900), dtype=float32)\n",
       "Coordinates:\n",
       "  * sample       (sample) int64 5kB 0 1 2 3 4 5 6 ... 648 649 650 651 652 653\n",
       "    stim         (trial) float64 7kB 1.0 1.0 2.0 2.0 2.0 ... 2.0 2.0 2.0 1.0 2.0\n",
       "    resp         (trial) object 7kB 'resp_left' 'resp_right' ... 'resp_right'\n",
       "    RT           (trial) float64 7kB 907.0 1.095e+03 1.37e+03 ... 468.0 350.0\n",
       "    cue          (trial) object 7kB 'AC' 'AC' 'AC' 'AC' ... 'AC' 'AC' 'SP' 'AC'\n",
       "    movement     (trial) object 7kB 'stim_left' 'stim_left' ... 'stim_right'\n",
       "    trigger      (trial) object 7kB 'AC/stim_left/resp_left' ... 'AC/stim_rig...\n",
       "  * component    (component) int64 80B 0 1 2 3 4 5 6 7 8 9\n",
       "  * trial        (trial) object 7kB MultiIndex\n",
       "  * participant  (trial) <U16 58kB 'participant3_epo' ... 'participant2_epo'\n",
       "  * epoch        (trial) int64 7kB 0 2 3 5 7 8 9 ... 192 193 194 195 197 198 199\n",
       "Attributes:\n",
       "    sfreq:    300.0\n",
       "    offset:   0"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "preprocessed.data"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3d11090f-4276-4e5e-bb7d-051be01ae57f",
   "metadata": {},
   "source": [
    "Finally, we need to initialize the model."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "a5f0879e-b78a-4083-a37b-9958b8e326ad",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Defining the expected HMP pattern\n",
    "event_properties = hmp.patterns.HalfSine.create_expected(sfreq=epoch_data.sfreq)\n",
    "# Performing the crosscorrelation between the preprocessed data and the expected pattern\n",
    "trial_data = hmp.trialdata.TrialData.from_transformer(preprocessed, pattern=event_properties.template)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "51fc7d64-e7b8-4479-aa52-188eaf4d2e0e",
   "metadata": {},
   "source": [
    "## Fitting"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "55dc8f23",
   "metadata": {},
   "source": [
    "As introduced in Tutorial 2, the ```CumulativeEstimation``` method starts by sliding a candidate event from 0 to mean RT. When an event is found – the Expectation Maximization estimation converges – one event is added to the model and the slide continues. This way we can detect new events while accounting for the previous ones. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "ddb74b39-490c-4dbf-a5d0-0f91640b033d",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "1521b1d914d4478a911eb84836405c03",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/15 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 events found around times [83]\n",
      "2 events found around times [86, 280]\n",
      "3 events found around times [86, 276, 503]\n",
      "4 events found around times [83, 263, 440, 693]\n",
      "Found 4 events\n"
     ]
    }
   ],
   "source": [
    "model = hmp.models.CumulativeMethod(event_properties)\n",
    "_, estimates_cumulative = model.fit_transform(trial_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "717a2217-ab10-467a-af20-e4ac41612ae6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Tn+AfygWKwZOZWXw8ax7Tv1jA7+s3o6oKzRpXAwnuvv0KGjeqSrVqacTEFhMxTBPD0Mk4ns32HYf48ecNzJ6zAq9XY+fuIzidDvpe1pXhg66iT/dLUBTlguyviEFBqXCB4m37rj1M+fQLPv5iIUeOpOOMjCQqrQKuxCSqdbuU2EoViUpJwuFSkeSipyeGplGQkUX2gcPsX/4LOXv34Dt5koLsbBITExjSrw83XNufFk0bXpB9FbEmEAiKcIHmwby8fGbM+4qPZ89n+a9rkCSJWg2q4td1+gzvRo3G1UmtnEpETAQgYQISVuWJaZrkZeVxdN9Rtq/dwXezfiY7I4fsk7koikL3S9ozfGA/rrm8B06n84Lsb1mcCz3PXlmi23M/vKBEt/e/xu7du5kyZQrvvfceOTk5+P3+81qPED7OFd0PqydD/nFo1B8Ux3mtJjMrmzcmTePdKdM5fiKTTi2qMaRHPfp2rEX55GgwAdM8dQQIfB5AkggoI8cyC/h65W5mLN7OD2v2Eh8Xw5jhQxh76w0kJyWe/3Fv+gKiUqDVqPM+boHgv+YCxeCefQd48a1JfDx7PpqmcXmP5gzu344e3ZoTGxdtFb5KgSEBUtHaXtPEUiBNywAsMAyDXbsOM/+r1Xw6+xfWbdxL9aqVuHv09YwePhi3+zyLOUUMCkqDCxRvy1au5rk3JrJoyVIiYmJJadWe1FYdSKpXD4dLQVENFMVEVkwkybTCTzKtP22SiWlKYIJhShiGhKGDYUjomsnJHbs49OtKjq1cRt7JE7Rr3YIH7xzN5Zd1RTqfenwRawKBIJwLNA8ePZbBK+9+yAefzCY3L5+LOjYkrVoKw+65muiEGGt+M0E3pdBlQLF1BAQQCZAlE0WCnRt2cezgcfIy8/hx/q9sXL2dtHLJ3D5qGHfcNIzYmJgz7lOBz+Cidy1B5/dbaxHpDCsfLMNzofelq0p0e677S7BT5/8IhYWFfP7550yZMoVly5ZRvXp1Ro4cyfXXX0/FihXPa50XOC+0DGCaUJgJnpzz+nGv18vrE6fywpsT8fm83HBFU24fdBF1qiadKm6c635hzYTlEiIZ2acxIy9vwp7DWbzzxVre/nAqb0/+mHtvGcUDd4w+vwwQTw7I6vnvo0BwIfgvY/DEyUweeX4CH06fRWJCNA/e1YsxN3SjXLkES+SQlWKihy18SBJF/KAlIyR+hCNDzZoVGHtnX8be0YfVv+/gzff+w72PPceLb73PUw/cw8hrrzk/bwIRg4KS5r+Mt41btnH3o8/xw9IVxFepRqNRd1GhbUdUlwNJAlk2g6JHQPiQZRNZMu3QC/xfN+3dkTB0CUMG3ZCQZYmU+rVIqlsbbch1pP++hh3fLuSK626medPGvPnMQ3Ro0/Lcd1zEmkAgCPBfzoN5efk8N2EiEyZ9hKIq9LnuEq4YcSmb1uzg8L7jp4gehi14hMQPS8CVsMRg2T7lN0wJMKnVpCbeQh8tOzWm7/Cu7N9xiPlTvuep197m1YlTePjuW7jjxmFnzAAp1P5iniujc6HkvkBZuoJz5tdff2XKlCnMnj0bn8/H1Vdfzffff0+XLl3+63WLjI9zxTAg5xBk7oXo1HNyOf7pl1XcdM9D7Nl/kFv6t2D8yHakJUdbH4aLHsWzPYp/Hr5MOGFZH9ZrOfg6I6uAlz/9jTdnryWtXAoTX3maXt06n/1xmwbkHYWEahBbkVOtnwWCEuI8Y9A0TT767Avue/JFNM3HQ3f15LZR3YiKiQJFtf6wS7IteiiWABJ4jR1L4dsKxmQo06N45kf48x07DvLEi/OYMXcVrVs0YfKE52lUv87ZH7eIQUFpcJ7xVljo4ZHnX+eNSdOILJdGjauGkdayDYpDQpZDmRyyLXgExA9VNe3PQ8uEY5qSHXoSmmaJILphiyGGZGeBwPGNG9k26xMyd+9k2MB+THjmYRIT4s/umEWsCQSCcP6Lc/8F337PbQ88QUZmJv1vuowBY3oRHR+FphlMeHAatzw9HMXhOEX0MMIEj+JImMjBrA9QJJMNKzazeslabn1iKLJkfZ5xJJPpby7k609/pk7Nanz4+nO0v/iiIusq8Bk0eHMHAFvurF0046MMz4X+9weX6PYcY2aW6Pb+qTRo0IBt27bRvHlzRo0axbXXXktc3IXzrRHCx/lyDnV+Pp+PB556mQnvT6Vj86q8c383GtZMASRrxjqTqHEm4eN0ogf8pfARYOfBLG57dQnfr9rN6OGDmPDMI0REuM/6WMpinZ/gH8o5xGDGiZOMvPNBvvruR4Zd3YqXHruK1NTEkOAReJRV6w+7rNjiR1jWR/FSFwgrc7EFEMMAU7f63QfED0O33zPA0Fi28k9uGfcZO/ce49mH7mXsraPOLR1fxKCgNDiHePtj/WYGj7mHPfsPUa3vEKr1vBLVqYayOeRQZocldhjIYaKHLJtI8umFDwjL+rCFjtMJIJomo/tN9v7wA7tmTyUuKoLp775Mt87tz/6YRawJBIJwzmEezMvL5/YHn2TarHm069aM258ZSlqlFAwg60Qu61Zuo12vVvYpvYRugmZIGFinFIZpPT8dMlaZiyRZz1XZKnmZ9uIs+gztQvmqyfYy1mXA7i37mPDgJ2xeu4v7b7+JZx66J2gG/ZfCR4AyOBdqU64t0e2pN3xWotv7p3LnnXcyatQomjZt+resXwgf58tZTn6HjqTTf+Tt/L5+Ey/c3pk7B7dClv/iIidc1Dijv8dpiv7grIQPZOtu2aT56xn7xg/UqVmDuVPfpUa1Kmd1PGVx8hP8QznLGFy9dgPXjLyNwsI8PnjhGq7s2RQUZ0jwUFSQHcUEkLCMD0lG0w327T/G8eNZ6LpBfHw01aqlEhVpi4an+HzoIcFDDwgfGugamDqeAg+PPD+f195fQr9e3Zj2zkt/WYNbBBGDgtLgLONtyqefc8v9TxBVoQp1bxhLTKVKKGFCR0DsCM/wCC91UWRrSBIoUpHiMoDQRQGgm1a5i65J6LqMZj/qmoTml9F1SwDJO57Jn5PfIGPLOp5+8G4euueWsxMbRawJBIJwznIe3L5rD/1G3MLeA4e4+9mhXDagPaYkg2nNW8/f+T7X3NSL6g2rYtiiR+BRD5a82Kf6Z7jPqdj3YmRMVNnK+lAkOLjjIAV5hTRuWTMojCCBqevMfO9bPnp5Hm1bNefzD98itVyyED7OgP7Z8BLdnnLtxyW6vbKKED7OFcOAjG2QuR8Sq/9lutumP7fTa9BIMDx8/kI/Wjes8P+vPzzbwzBCIscpwsfpylykMPFDOo0QUvSO9fodxxgwfj65Hvjqsw9p1bzJX+yXASf3QEIVSK5bptLdBP8wziEGFy5awuCb7qJJnRRmvTmEylVSkFTVEj4CgofqsB6LZX+YksKXX/3Kx58sxuP1UaN6ecqlxiPLEllZ+ezdm05ubiH16lZmxIgeNGtaMySAGJo9bAFEDzwv+v7CRWsZftd0alStytczPqRCWuqZj1vEoKA0OMt4M02Th599jeffmEj5Dj2pM3gMDrcjmN0RyOoIZHioqoGihp47VBOHDE4ZHDIUZGRycu8h/IVearVrwpGte1FdTpKqVUByOOy7o+AzrAsETZfwaxJ+v4ymyWh+e2gyfr+M32uya8FM9n49g+sGXMnkCc+dueOBiDWBQBDOOZx3/LLqd/oOG0NsYiTPTbmNyrUrYthiLaZEVmY+86cuYfCdV54iemiG/WiCboSE3vAz/oC5qWIPhy16BMQPb34hz9w0gaem3E1UtCusJMZay6bftvP4mPeIcUexaNYUKlep9telLmV0LtQ/v75Et6cMmFqi2/sn0rNnT5544gnatGnzl8vl5uby7rvvEh0dzW233XZO2xDCx7mi+WDZq1BwElrecEaH49/Xb6LbNcOplhrFl69fQ4WUs7ibW7zEJTgIiSDBZe3nASGjuPBRTOQ45bVNRlYBV46by8bdJ/l25mQ6tm11+n3T/bBmCkQmQsexoF6gFlkCwblyljH42ZyFDLv1Pvp1rcvHL15DRHQEOBxhwocjbNhCiP16x+50xt03idat63HLrX2JjY8ETMwiZqZWPG3cuJcpHy7i2LEsnnn6BurUrhTK+tD91ghke4SLH7r1uOnPg/QePgmHI4of539K1cpncKoWMSgoDc4i3gzD4Jb7HmfSxzOpftVNVOneD9Vhm5XKZlDgCGZ5OAwc9nA6DBwyqBIUpB/nlw++oPGlrYhLjObwn3txR7po1bc9G3/4ncPbDyA5VC4edBl+Q0KNjrLvkFoiiEcHr98WOvwh8cPnU4KvD69cyrZpL9Pr0s7M/egtXK7TdFkSsSYQCMI5y/OO73/+hb7XjaFBi2o8P+V2ouOighkcht2pZfumfVSrXxUTCd2UQmKHIYXmMxP8RlHxI4BURPAgOH8Gyl1U2eS3xb8TGeWiZccGwayPQGmMBBw/lMG4oRPIPVHAVzOnMuh7y8jzFOGjDM+FxsIbS3R78hUfluj2/olMnjyZxx57jLi4OPr27UvLli2pUKECbrebzMxMtmzZwvLly/nmm2/o06cPL7/8MlWqnGXFgo0QPs4V3Q8bZltmP3V6nXbyW7/pTy7pN5R6VWL55o0BxEWfhYfGX5W4hAsfRbI9TiN0nJL5EVj09MIHQIHHz5Xj5rBqyzEWfzGNtq2an/64t39rmTo1GVimWloJ/mGcRQzOnv8NQ8bcw7A+jfjg8b4oEU5Q1ZDwobqKih6qExQnhqzy2psLWLFyCy+9dBPVaqRimgYmJiZGMeEDJDsGZRR27Urnmac+JTrKzdNP30BKcqwlbgTED10D3Wc9D5TAGNbn+w9k0HXIREzcLP961ukzP0QMCkqD/yfeTNPk1vuf4P1pM6h57T1UaNc9zLPDKCp6qCYO1cDhNHA5DVwOA7cMWl4ebreDJW/OpP3QHlSoloZbAadip3MHtoV1MbD3zwN8/d5cNJ+fqx+9kazjmSTWqIwuq+RrUOiX8XptAcSn4PeFPffLHFv/B9s+fJKeXToyf9o7wVr3IscsYk0gEAQ4i/OOn35ZRa/Bo7iofR1emHIbqssZFDwCWR2aYTJ+2Gs88/E4dPt9vyEVET3ChQ/NzmgLv9cpAaocLnhYj0ox8ePI7sNUrVU+2PI2YHgqSSYykJuVx92DXuX4wWxa3fIasWlVmXZNJdyOYsJHGZ0LjUW3lOj25J7vlej2/ql4vV4+//xzZs2axfLly8nOzgZAkiQaNGhAjx49GDVqFPXr1z+v9Qvh43w5Q53f/oOHadPzGiokOlj8zqCzEz3gr7M9Tvc+pxE8sF/LxV6fqZY5zGukwOOn912fs2VvNiu+/Zw6Nauf/mfKYJ2f4B/KGWLw519WcdnAkfTvWoepT12B4nJYoodTBVVFUp1FhQ/VBaoLjy5xw00TaN+hMWNu6WMJHRgYpmGLHpYAUjzpVJZkJGQk+/H31Tt47JFp3HpbP666sp0lcGheW/QIEz/Csj4wdPbtP06nge+TmFiOpV/OOLPnh4hBQWlwhnh79rV3eeT516k55C4qdOh5+lIWhxF8dNqiR4Rq4k0/yvevfYI7yk2v2weQUiUV1b6D6VTAJYPD9vsAy8/Db9gXBCYYhhWRv8z5iTVfr6TrmKtJbVqPPD/k+2QKbfHD51XweZVg9kf+iRw2f/Ac+Xu3cMOQa5j02jOn9/wQsSYQCMI5wzy46c/tdLh8EPWbV+H16XfgcDmDYkegW4tuwqH9J/js7a+5/bnr0U0Jvz2naYaEZoaEjuAIzHVhpx1KQOwoIniEsj4Cj6/d9S63Pz2M+MSooPARLoDIkkleVh43X/UynhydX7/9/MzltmVwLjS+v6NEtyd3e6tEt/e/QnZ2NoWFhSQlJeFw/PfCmxA+zpfTTH6FhR7a9e5P1smjrPhoOKkJUfYn/89X/P9lexR/HZ5q/1fZHqcTPf7CWPVktodOo6djyNH8tnju6S+8yuDkJ/iHcpoY3HfgEC26XkHz2ol8NWEgTrcDVAWclvghOR2guKwMj4AAorrw6DKDr3uJm2+7gm7dm2GYenCEZ3uYVtIpphkILQk5TPSwHiU0v8FDD0wlLi6ap54YgWTY4odmix5BESQkgJi6xuatR+g4aCKXtG/H3GnvIp+unlbEoKA0OE28Lfj2e/oNv4Uqva+jWp+hQQNTh6Oo2BEobXE6DSJdOum/rWfPsjVcPX4EKgaREU67Pj00VBmcshmsX7fMTK2LBCP8zyHW64J8L+mHTpCVVUh8nerkmwq5Xkv88Hos4SMkgsjsmDMNT1YmGasX88azj3Dn6BGnHrOINYFAEM5p5sHMrGxadLsSd4zMlC/vwx0dWUTwCBc+cnO9nDieS3LlVDvTIzSvFRc+DLPoc8MMtK61BQ+56HwZEI0Dfh8/z1mKyynT/eq2wUwQxfb5CLTAlSU4kX6C4T2ep1rFKixd8NnpvY/K4FxoLL23RLcnd3qtRLdXVik7LjUlwJ0PPc22nbuZ+8o1pCZFY0uq2CpEsXGeFBE6zvQ5p88CKSJ6nLpPiQmRzH3lGo4cTefGux9GaGKC/yV8Ph8DbriD2EiZmc9egdNpt6OV7Va0gda0gfdkBRQHuqQwYtTr3HL7lVzarSm64Uc3w4evyHuaYb2n2e9pph/N8KGZPjTDh276URzw8mujSEqO4dbb38SQZFtksb1FineOkWUkWaZhvTQ+fmUACxYt4ZV3RL2n4J/L7r37ue7W+0hp3o5qlw8JmZSeRvRwOg3cbp1ot87hX1ZzeM1GBjxwHYlRKskxTmKdEOswiXWYxNgjSjVxqyZu1cClGrgVkwjFIFq1Po91msTZI95lUi7eRf36FfBlHGfug2/gLswj3m0Q5dZxuXWcbj20bw6TGv1GUKX3dSQ27cS9jz3Pr2vWlvZXKhAI/scwTZPht91HVk42b396CzGxEadkVYQzd/J3JKUlWBXsJhhIZxQ6ij8P/oxtlHrG5bHEljY9WlK3ec1T9jlc9JAlkwoVE5jw8S2s3bCZcY+/UCLf2/8ETkfJDkGJIISPc0X3w+rJsOkL67nNwkVL+HD6bCbcdxlN65Uv+jOyVHRIxQSQgFBRhGICyZlKVopnelDs9Snbs0fxfbJFkTpVk5j0SC8+X/gtn81ZWPS4N31hHXvYcQsEJc4ZYvDZ199j7aYtzHzmChLjo2xxwxY8FFvskBRryKHMj/sf/pjL+7al66VNigoZQTHDHxQ1tKAAolmPRnHRw17e8KGZfm6+rRfNWtTgtjvewpTlkPChOELCRzHx4/JuDbjvpk488vzrbNi8tehxixgUlDSniTdd1xlxxwNIkdHUG3EPqkqoY0uY6GFleehEuHXIOs7qiTNp2b0lg8dfR3KcKyhgBASPaKdBjNMg2mEQ7dCJUg0iFIMIxSRSNYhUrfdjnUVHTPA9gx79LmbwXVeRu3svsYpOnMskKkLH7dYs8cOp43DoOJwm0anlKN/xcmR3FNfePI78/ILQMYtYEwgEAc5w3vHh9Nl89d2PvDRxBJWqJAfFBPk0p/eFBV7+XLsLxekokuQdLlwYpxE9jLBlA8W2xT8Pfx5Yd2RMBMu/XUNhoTe4v1Ix0UOxT/+bt6zG/U/3560PP2HxT8uLHncZnQslRSnRISgZhPBxrpgm5B2D/BPBt3Jycxkz9hF6d6zDqH7NrDcDF12nQ+JUQeKUkpViryn++ZlG8Z8LE0CKiRynYF8kDrisIUN6NeaO8U9xPCN0nOSfsI5dZIIISpPTxODGLdt49vX3eGjExbRqWN6OsbDsDsUSFazOLarVwlZ1Mn3mchxOB4OHdrbECzvDQzMtsSMobBh+/IbfFjW04PAbmi2U+IOPuukLZopopo/hI7tQv0ElHhg/2d62s1jmR9iQrCyVJ+++jLrVU7jhrgfRdT107CIGBSXNaeJt4tQZ/LLqd+qMuAtXdEQwsyMgejgctoGpWyfSbVB4YB9Lnn2fTgO7EO+UiHMSzOwIiBzRTp1Yh0GMQyfGqRPtMCzhwx6RqkGMIzB0Yu0R49CLvufUadq8Cm06NeCLh94mb/tOElwm0bb44XLpOF0GTpclgCQ3aESju1/lwOF0nnj5zdBxi1gTCAQBTjMPHk4/yr2PPsfg4R3o1rPJKZkU4V1UAA7tPU6HXq0xTSlYChNethfsZVBMxAivhg/sSpFlKFr6B4H1SGSfzCN9/wlM09qLwOVHQPSwSmCs5yNGd6Zdp3rceM9DFBQUhlZWVudCkfHxr0R4fJwrhgFZeyFzH8RWBElm3OMv8N5Hn7B57i1UKR9rL1f8azVP817oo7Py+KDYzGZ7DBQRPWT59J1d/srk9DQczyqgXr/36H9lXz547VmrPWfOIUioCvHVylQvb8E/jGIxaCLRtd91HDm0m3WfjsTpUq3/n6pq+Xs4VCSHAxwucLjBEQHOSP7YdIinnpvJrC8ewpR0S/SwMzoMU0M3dQzTQDfNoCt78QgOapgE6m0lZCRkSUGWFBTJgSypKJKDl577ArfLzYP3D7a8PvyekO+H5g35fRg6pqGzYvUeOg58j/dffZrRwweLGBSUDsXiLeNkFjVbdyO+eVsa3nA7QNDbI2Bo6nTpOF06EU6Dkxu3UL1hVWIckJwQSbRqEqGCWzFwKqbt42HadekmmAaF+V42/r6LE+nZtGhbiz/X72fJ12spLPDy3me38uCtU8nOzKfFxTXpdVUrVi7dyqV9LyIyJgqvLuHRZfI1mWMnvbx617v0ffB6SEom2wd5hQqFBSpej4rXa7e81WT2fDWLA99+xsafv6R+7Roi1gQCQYjTnPtfd8tYFv30Ez+ufYKYuKgiXh5WlxarW4vf7thy8mQhOJzITlfQ1NRvm5oGTZuLmZuGiyEQOt8IeH3IUlF/j9Cw5tV5E7/k0itbU7lqMg7ZmmMd8qmihypbQs3+3ce4tNVTPHjnzTz5wF1l+rzD/POZEt2eVP+REt1eWUUIH+eLbXC0/+Bhal/cjYdvas8jYzqHiRv245nEjgCGUex1QOAIzHZGyNA0KJCYBLNEOIPoEcjqCJ+kTit+nG7/rGXe+mwV976ymM3Lv6FebbtOsAwaHAn+odgx+PV3P3L50NF8NWEgvTrWDmV5qIotfDiQHM4iokf6CQ9DR77CjFkPE5vgskUPK9MjIHpohmE7rVsnL8E7K2G7IFO0XlYNXsDJKJJiix6W8CGj8vD906hfrxpjbuoTEjw0D/i9oZa3ht862TAMht/zGd//so9dq38kMjLC2qiIQUFpYMfbvY8+xzsfz6LrhHdxxcYBIeFDUSxjU6dLx+002DZvEbn7DzPwoeHERyjEOEwiVJMI1cClmLhkk9yTWZQrF80LD87g8L7jtGpfh34DW/Pdl2tJLR9Hq7a1cLscKIpMTIwLWZaK2Fvl5Xn47psNzJ25iidevZaUiikU6hKFmky+XyGzwODg0Tz27z9JdN2aZPsgv1ChsFDF57EMT3VdxlvoZ9Ujt9G9dRPmTX3HWrmINYFAEI49D67buIXmXa/k5beHMuT6jqd0cAm0p/XbwodmSHw751d8OnS6soMtdkhBg9Nwc9OAgXPAyyM8myOQ1K1Ip5pBO+TAo20KjY4nJ4+U5OigEBIQP1RbaA43PQ0khD/32HymvPcTu1f/SGq5ZGvDZXAuNHc8X6Lbk2qPL9Ht/S+QlZXFF198wa5du7jvvvtITEzkjz/+IDU1lYoVK57XOsuOdPc38fwbE4mNcnH3sLbWG8UNTcPT7U8ZZ/t5+GPY8yIlLMVEDynsvcD6Tlfy8hf+H6MHtqRiuViefFm0WBL8MzFNk8dfeoOOzavQs1OdMLFDtYcDSXWAYndwcbgp8MH1N03gjbduJy4hIuTVYT/6DQ2vbuLRZQp1mUJNxmPfRfboMgX2BVWBZn+uS/Zz62LLq8t4dRO/oaHbvh+66cdA45kXh7Nq9Z/MnP1TWMmLM+y5GiqBUVSeuLcXGSezmDhtRml/1QIBR9KP8e5Hn1Gr7+VEJ0cHMzucLstA1B2h4Y7QiHDpOHwFqIafax+7nsRIhRinSZTDJMphla1kHkjnyVvf4/VHZmAWFPD4c9fwydw7uHtcT2pUTeSW2y/lmv6tqFoxkbTkOFISYnCrTpyyA4fswCE7cchOEmJjGDi4HZ/Nu5PKFeMYP+YDvFnZRNl+IAmRMqkJbr6f+AXeQ4eJcUCkyyAyUiMySiMiUsPt1oiOlal11QDmf/0d6zZuKe2vWiAQ/IN54uU3qV4zlcHD2odlXxQtcwmcZgcyM1q0q8fqH9ajyGbYabhZZBkl7HnxU/XwU/iA+Fv8Z0JiiMkPs39m2YKVqFIgsyM0ApkfwRa4MiiSTF62FxkJTdN48a1Jpfodlzqi1KVU2bBhA3Xq1OHFF1/klVdeISsrC4C5c+cyfvz5i0RC+DhXDMNSfDP3kZGRwdSZc7l72MVER7uL+nqczjz0lGGbLirhQkdAsDid+HEmoeQ06y0igEin/3mp+LrDMkUAl1Pl/lHt+HzhIvYfOGil+GXsPDVLRSAoScJi8OdffuX39Zt5eExHJIdql7cUEz1Ul1XmoroxZAc33voO4+4fSO16aUHzUj0oeuh4dCjU5OAIiB6FukS+X6bAFj0Cj4W2AOIJLivh1SW8OvgNA83QguKHKelMeHs08+YvZ9H3v9udXtwhz4+AEKJYnh81qqdy3VUXMeH9j9D8PhGDgpInLN7e/Wg6KDL1r+qFw2kEBQ+XSyciQiPSrRPp1Fk/dQ4FBw7Se9TlxDkly8tDtQxKFb+HH+YsJynOyUNPX83EaTdSLimS+Gg3LsVhCxsuHLIbpxyBU47EIUeEDbc9XDhkF6rsQpWcqLKLKLebO8f1ZNyNk9AL8olUDaIcOuXindz9ymj2LP+DeCfEukyi3PY+R2lE2AJIze4diEtN5bX3pohYEwgEIcLmwe07d7Hg2yXcfm8PHKoDCamI+FG0jCQ0UsvHc9X1XVEwwsQIW6iwy1UCz0/J6JDCPg8sLxdd3ip3scSM7GMn+PW737l6ZNegyBEYzmLZH4okkZPpYflP29i/5yQXt6/LbXf35INPZpGdnV1250LVWbJDUIR7772X66+/nh07duB2u4Pv9+7dm6VLl573eoXwca4YGmz8HLYv4sPps8E0GD24dUhMOFOWhyKDooRG8P3Ae2HLyVLY67DPTitynG57f5VJIhXd9l9mnMgMv7IZ0ZFO3vvoU9i+yDp2Qyvt34KgLBMWg29/OJ2GtdLo1qF2kWwPSVWRFDXUQlZ1g8PF0y/OpfMlzejUpVHRFrWmD79p4DWwMzakoIhRqMnsP5jNrMk/8dojn5FVYDD++jd499kv+HNLOgVaQPSwRqH93KvLeA3skhkt6B0iKQYTJ9/OhNe/YOPmvZbRquKyBY+A6akjKH7ceeMlHDiUzsJvvxcxKCh57Hjzbf6aidNmUrN7Z6KT3LhcluDhdltdWyKdBpFOk9UTZxITG0Gji2oT64AYp2VgGuXQyT5ylPEj3yStXBRVKkZTs1oSLkW1sjckV5jg4capWKKHU4koMgLihyq7UGWnPULiR5MmNZj0yc2g+fDk5FjGqA6dyhVjGXhLH5Z9OBftSDrxTohxG0RFaERGWOJHdKxJzb7dmTn/a479NkfEmkAgsAg773hn8nQSEqKZO2sVS3/ciiTJyCjIkhTMtghkUoT7ajhkk4va1GbCA1M4tv9osdIT26tDBkf48zMMZ5HSlsBzS0gpyM4hMsLJo++Mwe2QcCgmDsW0PJXChipLKJLMx5OWcvuoKUjINGtRg569LmLUzT3weL1Mmzmn7J53FDef/7uHoAirV69mzJgxp7xfsWJF0tPTz3u9Qvg4VyQJYtIwI5OZNms+V/doSFJiVEiECGRwFB+ycubPgkM5VQg55xGWSRIupIS/Fy6aBLZ7hvVFR0dw7eVNmP7FlxgRSRCTdk4mqQLBBceOwZN6FAu/+4FRVzVFCmRIqQqSGuic4iqipv/0yzb2H8zghpt6FG1Ja/rRDB2vbuLVw8paNJmVS7exYe0+Vv+yncikBK6+cwA+ycFdb99Nix6tyfXofPvFr3wz51fyvOCxS10C2R/h4oceJn44XDKTptzJXXe/Q2ZOYdFOL8F2typIMs0aV6VV02pMmz0folJEDApKFjveFm0+ScaJTOr0vSTUtcVpEOEwiHKY5O3Zx7HfN9HthsvpfUPvoOgR6MySn3ECt6Lz/BvX0at3I1yKYperhAQPR1DwsEf4c1vwcCru4LKq7MIhhQkgkhNFcpCakkDW8TzG3zwF2e8jQrH2I8Zh0HNQZ7555WOOr99CrAOiHRDlMoiws1fq9u6EYcLMXw+JWBMIBBb2POh3JfLZvK+4dnhHPp51N9u2HKYwX2PLxkPIyCiSjCpLQTHDcRrx48axV/LGA1PIO5mN087AcAYzMcCpWMJG4PGvxI/A55ZRNORnZPLKne+Sm5FJYnwETttLyVVsGzknC3j2kXn8+J8t9OvfhhnzxtLl0qbIkoosKVSqmELPPheV7fMOkfFRqrhcLnJyck55f/v27aSkpJz3eoW56Xmy7seFNO96Ja891IcRV7cgLsaNdJpJoaDQx5HjuZzIKiQ334vPr2OaJhFuBwmxEVQuH0dSfGTRri7BHlambW56ug4vnLmFbXiZS7FWuKZpkl/gQ5YlItyO0D6Hr7cYK9fup8OQSfy84FM6XXHthf0iBYLz5MPXn2PMuEc4+P09pKbEWjWSDrWop4ed7ZHvhyv6P8ec+U8QEaXiNz12m1offsOPVzetchVdwqPJFPhNnrplIuWqpNJnZE8iE+OCJmS6HaKynVpq+nws/eJH9m/dx70vjwqdxCgmLsUycXQrBi4FHLJldGpdpDlYs2o3H7y/iE+mPQiaP9TlRQ8zO9X9vPXhEsY+vZDjW38jvmaL0v7qBWWQwVdfzpINm+g3+TmUwEm9fWL+65R5ZO0/Qr/7hlIuNY4oFaIdIdHj9yV/8PWMZUycPoYol4JDVlElB4rsQLFPtK07ptbIOJ7Nb79uZevWA6SnZ6LpOjHREVStmkrjRtVp1rwmLrfTNhs2MUwdA90yJjYsUVMzfSz65g927jrKgFHdLG8eTSbXp3CiQOdkjo+V3/xGg94d8MsOCnXw6eDTJRY/9DrlvH5+W7OutL92gUDwD2LRrCn0GjyKn1c9S+OmVTFNkxMncnj6sdl4vX6eeH4giUlRmJh2RzgzaG7qt83S/YbEkSPZOCLcbN9yiDot6lhG6naHF90ALWiUemoLAhm7rEbGMikN+HRIBjMmzKN7v9bUrlc+7FzECBqeSqaBIivcedNHDLvhEjp0aIAkyUhIwUcACYkvF/zG0IGvsHXlf6jb5rIS/65LG/PE1BLdnpR0fYlu75/OjTfeyIkTJ5g9ezaJiYls2LABRVHo168fnTp1YsKECee1XiF8nCfPjL+H5994l3tv6MDuAyfJzvWcupAEkW4naSkxJCVEEhvjxulQQJLwev2cyCxg/+EsTmTm43QotG1elV6d69CwVjmk8Ja24UJIoMNLcBvFBI+gCCLj03RWrDvAst/2sPbPw/g1A1mSiIxwYJqWKKMbJskJkbRpVoVL29akTvXk0LrtDjOGYVCp08sMHzyIl9764O/9YgWCs6Rfr26cOLKNn6eMsHw9bIMoyREQPez2tc4InnxhDs0uqkuvyy9CM7z4DS+a6UUz/Hh1w/bpsDI9li3ZQnxqEtEpCTiiovAaEj495Lqu261dpEDdbfDui8G2lZs4susQ/W+8rIjo4VYN3IqJS5FQJTV4d1qVXTz8wMf06dOWrp0ah3V48YUedT/79x2lWvtnmfXBGwy88c7S/uoFZQxN00hKSqTmVd1pPepqFMn6P4/HQ+6hIyQkxpBWKZlIFSLDRI9I1cCfm8Ok5+fw9CuDiYlwWKKHbGVmKJIaFD8O7DvOZ9OXsHz5JpKTYmlzcV0a1qtE+dR4HA6ZnJwC9u7PYP3Gfaxbvxskicsua8mgQZeQkBSLgWl3ZNLsLC4fmukjt6CAn37aSstLGpPnV8j3y+T5ZXL9Miu/X8uaxWvo/fBNFOhQqIFHk/jzq2WsePV9jh49+l/dWRIIBP8ubh81jC+XfMe6ra8jSRJmQH41Tbb+eZDK1ZJ4+7VvuHZEB9IqxGFgBG+YaGECiM+QyMr18sZjs3BFuhk27mocbjeaKaHbHWECN1ng9F1dAh3lNI+XuRO/omLlJPpe2zEodgS8PJyKJXpsWX+A5x6fxytvXU/16mlIyNaQJEv4sJ8HKCjwUiX1ep5/5D7ueeTZkv6qS5/sEjaVjxtSstv7h5OdnU3//v1Zs2YNubm5VKhQgfT0dNq2bcs333xDVFTUea1XCB/nScc2LUmO8zJn4rBin4TslqVgxxTO0EqWoJDhKfSxfM1uvlryJ1t2HKVnxzpc27cJqUnRRcUPCIkgpxE7Cjw+vv55OwuX/ElWrod2LarSuW1NWjSqiNvlCO6XGSagHDuex6/r9vGfn7ex71Amj99xKa0aV7K2ZZsZjXxwDuu2F7B+89YL8wUKBP8FmqaREB/Hg0NbMH5U+zBnbCeSM6x1rSOCHK/E4OGvsPDrZywvD8NjiR+mD5+uUahJFNrdWr5b8Ds/fLma214Zjam6gial3jDhI3AiEqgWc9h3vl0yuGSDBe/Mw+VUGHZnX1vwsEQPt2oQoRg4ZCvFPyB+ZJ7wcM8d7zN75iOW2OEvtDI//B47A8SL6ffTpNcELm7Vgcmffl66X76gzLFixQrat29Pv4lPUL5hLRTJyvT47pmJtOp3CfVa1yNSgSgHRKuWp0eEorNg8iK69WxMw/rlcCsKquywBT+n3eJZ4fvv1jLlw2+Jjopg+NAudO5QDwUDDN1q62waxbIcZZBk8gs1vlm8jk9nLaVGzQo8NH4oiSlxGOjBLk0BkfPWGyfR6+pWXHRJE/L8Mnl+hVy/TI5PYuGUb2l2TXe8kkq+Hwo1iZz0XGYPvpnPPvuMIUPEyahAILCoXaMqnbvX5dW3RgXfM03rPNm0//2xZicTXv6Kwde1p3vvxnb2h2GJGQZB4SOQCbJq2VbqNqvJlzOW06FPK2KT49ENCYPAqX/RawfJNkX15BXgVGU+fnUOLdrUoWuf5sGyGpds4lAMHDIYfg1DM3n8/tk8/ORAUlMTkCWliOgBEkUbhVv06/M0ihbNoh/O30zyf5a8OSW7vehrSnZ7/yMsX76cDRs2kJeXR4sWLejWrdt/tT7hpnKu6H58az5h9dr1PHd/LyS5mE3KKWKHfOr7p8EdpdKtc0O6dWqA5vfz7Y9/ctezX4MJ1/RsRK+OtYmOdJ62oXd+gY+fftvD/O+3cOR4Ln27NeSVR/qSVi7OXk4+ZdPBlyakpsZy5WWNuKJ7Q05m5jN6/BcM7N2Ygb2aWPttmnRoWZVPFiwgZ+n7xLa/wfIgEAhKA93PxtkvkJdfQIeGaaDpYYa9ul0eZmClZcAX81YwdGg3TAwMUwvdFTZ0S9gwrC4sHs1Kdb/jtZvRZQceTcJrWO95DfDrIeHDxIohVQZdBoPAtZnMlbdfQ/7xExw5kkXFCnHIyMiSgaxLKJKEIhlWar6dnp+UHE1+vickYgKYujUMDVPXQdPo0KwiPy9fCn98DE2HiBgUlAy6nxWz38ThcpJcp1qwe0HW3oPEpyVRu2U9nDK4FHArJhF295bJz80mPtZFo/opRKgKapgXh4KDb75czTvvLOSSTo2Z+OYtJCdEguG3sp4MzRI+AuJH4I+eLXogyUQ5VAb0bc6AK1ux/NcdDB36LAMHXsLIG3ohyU4kUw4mbb/+zkieeeILOlzaEMO+8+rVJZwytOvXkaPpGbjLpwWbmrkT4kmskMaKBVMYMrC/iDWBoKyj+zn24/vs3LOf8R36IYdZJJqSDHbuB5i0bFmXT2bVxq9pvPP6N+zfd4wxt3enWq0UdMmwurnIJg5b+Oh4SV38OlSvmcKkpz6lY8+WVKhZnqyTeZSvmkpyWgKGYZKfW4gn34Oqykx6ZgZ+r5/bHh3I2KcH2d1aDELdWwBdZ86nq5g3+zc+nnUPb028OVhOKCEDUpEMj4DwEchiAWjXoT5vvDwXY81U5OZDy9ZcqPyzL5HfeecdXn75ZdLT02natClvvfUWrVu3PuPyn3/+OY8++ih79+6ldu3avPjii/Tu3Tv4uWmaPP7443zwwQdkZWXRvn173nvvPWrXrl0Sh3NGOnToQIcOHS7Y+v7Zv9V/GJqmsfTHHzjy4yK8Po2Lm1cNCRtQVOhACokdgfa0/x+mCaaBKiv07dGUvpc14XhGDnO/Xc+IB+bg9WnUrpZEucRo/JrO4WM5HDiSjdul0vnimjx8R3eqV0myPT6UYvvxF9tEBsNAwiAxIYpZbw9j1P2zASzxA2jTtDKmaTJ74X+oWlCZzl274XQKMx5ByZKfn89PSxazbskyZAla1kwGvxYSPlQD09CRjNBd4p9+3sBrb94R8gAwNQxTx2+Y+AzLjPTPzYdZ8OkyRjxyne3zIeGxBY9AmUtgBIUPya6/PU3OXHRKIh89NpkufVvTpnODoOjhMCQ02UA2dWRTx5AMTAxcbgc+nx8n1hyAodv+HhpoGvg1Wjcoz/uf/87X/1lCUkF1Lm7f4bS+QgLBheLw4cOsWvELK/7YSGqdqqgOFQmQTev/bPdbBwRN9izhA1yyjicrm/7XtqFZk/K4FTWs7ayL7VsP8/CDH3Fxq7rMm/EA0RGK5Wfjy7P+v4eLHsGsjzDhQ7bNwiXFNg1X6dCyKt98fh8TJn7H4EFPMfG9u4lPjrNSspCIjoCnnx/CtI9+pEf/trgVmUK7q0HusUz+WLiCdrcMCh63aUJcndr8um4rCxYsoFHT5tSsWbNUfgcCgaB08Xq9/LRkMbu/WwxAq9Z1kSQl+Hn4X+Fg6QsmikPl3vuuYsP6PSz/aStul5vt2w/SsUs9+6aJ5QOiGRJ+WeLSyxrSuXtDdENi17YjrN+8hxVfr+K2xwbz/gtzyM3Op0nrOvQa0JYHX7iOxKQo22/JsEtarAwPT56P1X/spUKFJCRTYc6XD+F2ui3BQ5KRkS1DeEI3cYL7boJk7z9Aq4vrkJ3n4fMF/yE1uyIdL+mKoiiUCf7BhqOzZs3i3nvvZeLEiVx88cVMmDCBHj16sG3bNsqVK3fK8itWrGDIkCE8//zzXH755Xz22Wf069ePP/74g0aNGgHw0ksv8eabbzJt2jSqV6/Oo48+So8ePdiyZUuRdrIlxZtvvnna9yVJwu12U6tWLTp16nTO/x9Fqcs5MGzYMKZPnx58nbnpOeJiI0OzhmQpqKESFPt1oM3taTIvgpgAhm1gaoQufsJSfXVNZ/f+DE5k5qOqMuXLxVIhNc6awKQwoeWU16fbaJhfSOAOedjw+zWuHzuLK7vVZ0DPxvh9GlFNH8cwTEwT+vbty4IFC8SFl6DE8Pl8tGzZko0bN+JyOoh0Krx1W3uGdKsPbic4ndZjhBvJHQGuKHDHcMWQ11jw1fN49Xx8RiF+w4NP91Gom+T5FbILDO6+dgL3vH4L7oR42+sDS/iwDQ81EzRb+AiYjckUbSUXcGEPXABK3kIm3DqBZz++l2i3TKRt9BihGkQoEg7ZEexmcf3QCUydPI5I1QBfAXjzwFeI6S0Erxe8flav30+bkR8Hv48nn3ySxx57rNR+H4J/N9u3b6d58+YUFBQQFRlBlW5t6Xr/DagS7Pp+Bb6sbLoM60WEanVGiXGYxDgMVixYRl7GSe4e14MIVQ3+H1dwMuHV+fy+Zjuvv3gjlVKjLQ8bzfKxwdDChA9LwLTEj2KlnbJsZVrKIeEDWbUeFSdrNhzggcdnMOn9e6heuxKa6cdvePAbHiZPWgROla7XtCfTq5LpVTia6eWDhz7g8mfuIM8P+X4Jr0dl3acL+XPGLDRNQ1EUlixZQufOnUv71yIQCEoQ0zTp0aMHixcvRpZlnE6F49mzkItne5/6k8GSchPDNkHN5sP3/8OypVt4Z/JNqA6J+MRIDNNEM000w/YBMSXb30MKJnkbdrmLLJl2ma0ZbJ1rlbdIOGSJTycv5T/fbOC6EZfQ7+q2yJJiGUijIEkKsiTb2R5gXZAYwSRy63LQDIk3psHhIyeoWWVk8KhGjx7N+++/fwG/4X8wxpIS3ZzX3wGv11vkPZfLhcvlOmXZiy++mFatWvH2228DYBgGlStX5o477uDBBx88ZflBgwaRn5/PV199FXyvTZs2NGvWjIkTJ2KaJhUqVGDs2LGMGzcOsDw2UlNTmTp1KoMHD76Qh3pWVK9enePHj1NQUEBCQgIAmZmZREZGEh0dzbFjx6hRowY//vgjlStXPuv1ina2Z8nq1auZPn067777LmlpaaiKTHRMpH3yFejDHDgJC3tPDWtPqTpCpounDCcoYe03FWfRzxUHistF7VoVaNOqFi2b16BixWQk1VlsG+Gvw1tkOsOGA2RH0btm4UNScDgcfPTKIBYv38lTb/+A3zBwqCrx8QlMmzaNL7/8kiVLSnZSEJRtJk+ezJYtW1iwYAGGCZEumU+XbGfPoUyr3EXXrQJaPcwXoJiua5oGpmmghzmtezUY9fBgopPi8RsSfiPQ3SGU7eEzQh4fARFEM4tmgvgCy9k/o7gjuG/Svfj8JrppncxohmTX7tonQ/Yph8fjw+122IKnEXbH2z4eXSctzlLcW7Vqxf33388zzzzD0aNHS/z3ICgbPPTQQ6SlpfHJJ5+QX1CIXuix0qc1P5u+/Il2A7tZ3ja2v41bMfHn5fHdFysYc2d3XIpitZuV3eTnaFw78EUS46KZ/fFYKqW4rQwPb2Dkgycf01OA6SnELCyAgkKyj2ax/c9DHN57HDO/EAo9UOjBLPRgFhZYy3sLbLGwAHz5tGxUnmnvjmH06NfYs+MgaqCLkuxk0NBObPpjj1X/bo+oaDc9xvRDKeITbp30a5rGE088QZs2bRg7dmxp/0oEAkEJ89VXX7F48WJmzJhBVFQUqmoZMsuSapkzS6pt1Fx8OC1PI9kyMVdlF+VSkhn/8BAWfPMolSqkMvGN7xna702+nrMWl6wSqcqWT5LD8kmKduj2o0GMUyfGqYfeVw3bQNrkzz/2MG7MRyz5ZjODr+3CnAUP0/+azkXagFvzsI9ff9nK1wt/5cfv13Fg71EkUw521lJktUgpjCQppCTHI0kSVapU4fXXX2fSpEls2rSptH8tJUMgk7iExvPPP09cXFyR8fzzz5+yWz6fj99//72I14Usy3Tr1o2VK1ee9lBWrlx5ijdGjx49gsvv2bOH9PT0IsvExcVx8cUXn3GdfzfPPfccrVq1YseOHZw4cYITJ06wfft2Lr74Yt544w32799PWloa99xzzzmtV5S6nCWBC4yrrrqKJUuWsPrXH622mQHVVwp7DDNgC5a5BEcxDxCwL87M0KNhgByWgRF8Hb5cGOGZHeHZHsFtFc/KMMMuDHUwJDDtYWDJYQY4nQ7ef6E/c77ZyIA7PkNVJC666CL69+/PiBEjOHbs2AX9jgWCv+Lo0aOkpaVxxRVXUKVKFerEeXnx+tY899nvfHB/d0sgMCyR4EzCB1j3NwIO634dPnhxLsPHX0uhVlTMCIgcflvoCHdZD5S72CsMIkvgl0A1QJMhwunkmRtf5tlpd+NSrEV1U7IEmLDuTIZhIktysNwtVO4SGuVi3ThUmd69e9O1a1deeumloCIvEFxojh49SocOHbjyyisBqNiwBg7JxO/1MPilu4iIcFiGvgp262aTiBgHr06+0W5Z68AhOck4WsANI17j+aevp3WzKpZ5r99jm/f6MDUf+P3oXj9/bDrI8jX7WLP5EFm5HuKiXFRIjiInz8fhE3koskz96sm0b16ZLq2rEx0bAYqCqSrgcCDZ2SKVykUy7b2bGTH6NebMeYKYxGhMySAmKprHnulPrteLU1aCRoDbVmygacXyqJKKIpnIsklSzaoA9OvXD8MwmDJlSmn+OgQCQSkQOPcfNGgQb7/9Nvn56SiSGsx2tvMw/sLBz8KUbOtT00CVnRimzrPP3YDP7yU9/SRrVuzltZfm0/Limtx0azciY5xIihQ8hTExg55FhmGyZcNBfvl5K2Nu78myJdt5+LEh1KhR3jKNDmsPvmP7QebP/YWlSzcQGxNJkybVSEmOo6DAy9y5S9mzJ50KFZO5ql9HLrvsIhwuh53zIQEmDtVJSkocnTt35oorruCee+4pM+f+uqmV6PbGjx/PvffeW+S902V7ZGRkoOv6Ked+qampbN16+gYU6enpp10+PT09+HngvTMtU9I88sgjzJkzp0iZaa1atXjllVe45ppr2L17Ny+99BLXXHNuprBC+DhLAvVNnoICZM1DnZqpyOH1X4EyFqmY0CErRcUPiosSFBU0zL8SPU5zMSeFiyhSUXGl+HasjYVdXJlgyiCFG0JiCSGyJYTIksSAy5vRv09TrhkzlQLNi6egoMh3IhCUBG63G4/HA4aBofloXDWBhpXjOZZVSEGBl0iHamdLGJiGiWTH0CnlWGGdoffvOYbP68cwA+3mQuKGHv48MALVaIS6uwBIJshm0eU1A3RZok7zWmxas4vW7WpZqauYdtpqaEgQMnG099s0Atkf1kpdDoXySTFoeSdEDAr+dgLxlmGf5MalxPPdcx9QpVFN2g+81MryUEOGpsf2HGLhR//hhTeG4lIUFMlJXo6fG0a8xrtv3Ebd6klWZobfY4sfXkyfn01bDvDep6vYdeAkreql0alpRUZeWpv4KGfo751diK4ZJpv3nmT5xsMMm7eWqAgH9wxrw0WNK4OmYzoD/j6W+PHcY4O4++53+Gja+ODd2f98tYF8r4+u13S0DQEBXefw+m2Ua9YQVQZVNUiomgbAyYwMPB6PiDWBoAwSiHtvYSGy4adho+qocsjgM/NkDrt2Hmbv3nQOHT7B0fRMMrNyKSzwIkkQGeUmJTmeGjXSaNqkJg0bV0NVnbYQYokg1apEUrVKedq3b8zq37YRHRnLM4/MZMf2w9RvWInRt3Xnkfs/w1Po57qRnfF5NDas20fX7k2JdETx6GNDkSXVzkJROHjgONM//p5lyzZSs0Z5rrriYsbd3htVkULXG2HXKfsPZvDFvJW89dZcWrWqy5gxfalUxfKJcKoKNWtWQNYKytx5h274S3R7ZyprKascOXIETTtVfNI0LSjGVKhQgdzc3HNarxA+zpKQ8JGH59guImJdYY6/xXw9imR7hMpHLKO1cP+NMIKChlnM2yNM7AiavIXVPIdvv7jYIYV/RjGBxc72MAP7G3DPB6Qw0SVw8Qj8sHIXObmb8RTkFflOBIKSICR8aHjysohwJoFp0qhqAjsPZdEkNjKUihH4vw52YyIz2LItPCSyTuRyUadGwW0EftQMfx644xL2/pkIdJ4O3432fdviMPzBzwIEZQ8p4KweHpthF3xhj/uPZrNg7ue0bn9J8DsRCP4OAvEWmO9P7txH26u7UKt5bRwKRASHiVvWmfziFzz8bH/cCqiS1a523N3v8OyT11O3RjL48i3hw1eI6fdyYO8xHnx5ETFulbsGtKB+pXgru0mzfT0KvUVjQZJQJYmmFWNpWjme2y5vyIGTBTz/2Romzv6d1+67jJiEaDvWAUnm4maV+DTaxaqVm2jVtgGypNKj10XccfP79BzYHqcs45RN2l/elp+/WkXFixriMkA3TRwO6+/h+nVrhfAhEJRRipz7nzzEskN7ubLvw4B1XpEQH03NmhWoVjWFxvUr0a1zQxLjo4iIcGIaBnn5Ho4dy2bXnnRmzfyezY/tR5YVWrWuS/duLWhxUW1U1YUJqE6djh2aY5o6L71yE6ZpWt3fDIN337+diAgnsqIgITFggGyXpViPut/gyy9/5bNPfyA6ysWway/hwbv6oEjYZbNe685NQEUOu06pUj6Oe2/vwz139GXZL3/yyMOTyc4poFPnprRt04CVK7ewatWf3Hn3fUW+k387Bnpp78JpSU5ORlGUU0qdA1nRpyMtLe0vlw88Hj16lPLlyxdZplmzZhdw78+eLl26MGbMGD788EOaN28OwNq1a7nlllvo2rUrABs3bqR69erntF4hfJwlDoel8Pr8fnRJxaHYPh5QrLwkXOwIE0BkFSQZ3dDZvfsIu3YdISs7H1VVSE6OpWrVVKpUTrHcaYsIHeHixxnKXYqYmIaLH3D6bI/AuhTrUdLtrA/NWj4gvIQLIJjk5HoA8NsKnKqK/z6CksPhcODz+UCS0A1bRzRNqqXGsCc9hyb1yp+2tMXtclJY6EV1EewYGxgNm1cnPj3PNguz2nSGP1dkK3tDtnVGmZB4EViHHPYzUvhzrNdOp0rBiZzgZwFC4kpgn4uYDNgLFRM/gE17jooYFPztOBwOCgsL0Q1LAGjapQU1m9UOGvlGqtita00iFJ0b77yMOjWTcdp17fO+WEXtmpVo07KG5eNhl7eYPg8LvlnHe5+tYsJdXalXMdYyxvF4beEjkLUVaKEUCDgpGMCSLIMiUznOxbt3dGLp5nSuGfs5nz7Xj5S0BEykoAHqA3f04q6HZ/DFnKdQZQdJiXHccHNXXIqJWzVw6zKVqiZzyYAuHN5/mMhKFeyYt+727dy9G8MUsSYQlEUC5/5+TUNHoedljZn49u2cej4ddp4e/EwiMTqKKqlRtGxcgUFXtABJwevXWbVmJ18uWM4TT0wjISGGzp2b0qlzE+rUqQSyI9QbxjRAMXHbSSaS3YJWQsY0DH5buZXPP1/Kn3/uo3ePi/jw7ZtJiHPZXeG8oS5Z4d2xIJSJHrwxqyIpKp3a1aFT+/oUePwsX7mVxYtXA1Y5rs9vzYllZS4s6YwPzrI5idPp5KKLLmLJkiX069cPsMxNlyxZwu23337an2nbti1Llizh7rvvDr63ePFi2rZtC1hGomlpaSxZsiQodOTk5LBq1SpuueWW8z2i/4rJkyczbNgwLrroomAcaprGpZdeyuTJkwGIjo7m1VdfPaf1lo3/vReArKwsABKSy+FOq0NBzi4746O4r4YteChqUPjIyilgzpwf+PrbVfh8fmrWrEDNWuWJi4siv0Bj995DfP7Fz+zfdwzDMKlcOYVmzWrSvHktGjeqTmSEnfp0Jo8PIChwnFH0IJTRES6oGHqx8hwd5EA7QaOIADKwbwtOFiYQn5QCWI6/AkFJkZmZaTk7Kw7cMQl4fQamAdXLRbP54Nn+X7TkClmyavt1n4/XH/iIJz4ai0OWcMqWN0cRL4+ABbQBOrYljh2CRUQSCdTwIYMqm6z85lfqNKhkeQdIpi2WBGUPwMQwzaKlcEVEEHu3TZPYKBe33nEP8YnJgBWDiYmJF+gbFghCZGZmUr58edxRMQDImp8INdC61iRCsUSPzENHmPLhdzz32mDcioxDdnH0cC7Tpy7hq3mPF/H0MH0eJn+2kpVr9rDwxatwmgZ4fFbLZk3H1GzhQ7fK1Yr0i7aVQ0mWMG1VUrLLwTrVT+W1Wzow4tGFzHt9IC5ZxlRkJFmlYmoMlSoksHLFRlq3a4gqOWnUsBozP/yBK6/vhkcx8KoSEYrBVy9MZeALdxARFUNkpFXK2u+qq/nhhx/E3zuBoAySmZkJQFxiMu6kSvg8XqsblRF2Pn1KlnaYEELopkXg5qhLkujUqiqdWlcHWeFEZgE//7KVie/MZ+fudFRVoWatitSqWYHyFZJISIjG6XTg82kcP57F7t1HWLduJ5kn82h5US1GDu1MkwaVwPBbgoc333o0LZP03NwC/tx2hMNHs1Bkido1ylnl+oGOWIGbs0bgtUqkU+WyLo24rGsTfliylirVmhGfFDrvKAv8UzM+AO69915GjBhBy5Ytad26NRMmTCA/P5+RI0cCMHz4cCpWrBg0R73rrrvo3Lkzr776Kn369GHmzJmsWbOGSZMmAVbm8d13380zzzxD7dq1g+1sK1SoEBRXSpq0tDQWL17M1q1b2b59OwB169albt26wWW6dOlyzusVwsdZcvz4cQCSkpKIiYnhyEGP1R0l6KkRnt1hKagbN+3hrbfnc/RYJgMGdGLyR/cSHe22jYMMez4MT563hIpDB0+wbu0uvvr6V158aRaeQh/R0RHUrlOJGtXLU65cPFFRblRVQdN08vM9ZGbmcuJEDseOZXHsWBYnM3PRNB1Jgri4KBo2qEb7do1o06a+pZwFSl0Ciq+uhfbfCAggeqjDBCY5eV6i42KIjY1FVdXgdyIQlAQZGRkkJ1t/eGNiYsgp8IFp4nbIeLVAmVYxsS9w38QwgoKCLMkokoxDNomPdVO7QSXWL91Ao45NMEzZMh8N++lwpMC1GKHsjnCxI9jaVrEuEB0y/Ll6G0Nv7h4SRmQTWZICzh6hLRXf9aDoYX2w81AWmm4QHR0d/B6OHz9+zml+AsHZkJGRQePGjYmJsYQPo7CQKNUSPSzhw8CTlcWr903l1fdHEqFKOGQXiuRk7F1v8ebrt+DAb5uYesHvZf4361j5+14mPdAD2e8HnzVMv992FdYxdQMz0DrJMC0BBJBsldFUJCTFDi7bjEcyTBpViuemPg15auLPPHtPd1AVUP2g+3ngzt7c8eCnfNGuMarsJLVcEj8v3sxl/VoREWN1c0pLiWbo+KH8Ovs7Ooy+BsVbCBCMN/H3TiAoe2RkZBAbG4vT6SQmJobsrJNWC+7wBgG6VvRmomlQUOBh34EMMrMKkSWTpMRoKpaPt25khjc7kGSSomSu7tGAq3s1AVnBrxvs2pvBrr3HOHz4KDv+3INf03E6HSQlRHNx82qMvq4T8XERoYwOb16wJfjRoydZ9MMmflqxg2MZuURHOWlYO5WKqbH4/To/Lt/Glp3HqFktmVuHd6Rhg0r2+b4Oin3uL2vBTPWcnPxTzjvKAiVtbnouDBo0iOPHj/PYY4+Rnp5Os2bNWLRoUdCcdP/+/UVaLrdr147PPvuMRx55hIceeojatWszf/58GjUKlXrff//95OfnM3r0aLKysujQoQOLFi0q9dKmevXqUa9evQu2PiF8nCUZGRlERkYSGRlJWloay5ZmW+1ni3l75Bd6mTdvGbM+/4nKlVK4656rqFO3YjBlTTe1YE9vEyslzjqts0/ukEirGEuvii3o3fciu9+2RH6+h107jrBv71EOHDpKfr4HwzBRFJmoSDdx8VE0bFyFLuWakFIunsTEGFRVwTRNsrLy2bRxLz/+vJbnX/yM1NREhgzuSrdLmyMrSkgAMTQwFJA0K3PFtEtgZKvbRPrxXNrWK48kSSQnJ5ORkVF6vxBBmeP48ePBP7xpaWkczdoJQGa+j7josDqWAHYaanx8FFmZeZSLjLPqYVFQZBmnqaMpBmPG9iErT8PwenA5I+xSFukU0QMs4UMKs9gJiBlOGRy22OFUbPFDNsk/mc0Tk24nwinjVIxgC01ZsgQYq2WcLYKcdoOhTK5f/0ynwOOnfPnywe9BxKDg7yIQb8nJyciyjDczi2iHYQsfBpkHj1IhNZqX3x1OzaqJOO22jR9P+YlLOjWhbs1y4MkLih47dh7mg5m/Me/Fq5E1LSR6+Pzg0zB9Bqbfyvgw7X7RZphhjimBFKg/c8igW6lZkkO2hUiJq9pWY+YP29m95zg16pTH1DUk3U/5lBhSy8Wx7o/tNG5RC4fs4r7xV7F17R4u6trUajNtSjRoXIWq9asy/8Nv8Hitk95AvOXl5QmvD4GgjFH8vGPHn7tt4UMPZXoYOgX5hXy7ZBNff7+Jo8dziIxwUK1iAolxEZimSUZmPoeO5lJQaJXrRrgd1KiSRIM6aTRvVIn6dcqjOi1RxCEr1KsSQ72qcWE3V8MINDvw5trZ2ToHDmTw+ZdrWLJsG4nxkfTsVJvn7+1GamKUnb0NRbJPZInNuzN448MfyS/088TY3tSuVT5M/FBsAUQl/WgW5cuXJyEhAUmSysx5R4mXupwjt99++xlLW3766adT3hswYAADBgw44/okSeKpp57iqaeeulC7+F9z8OBBFi5cyP79+61S9zBee+2181qnED7OkoyMDFJSUkD3U1k6yoGDx9FMGVVV0XSTH35Yy4yZP3I8I5t+/drz8fT7iY52YWCgm35MDAy79i8gepj2c7uSL7gt62IIMGWrng8Jd6RMw6aVaNS0sm2EWPz2cHF0NFNHQiI23k37TvXp0KkhEhIHDmQw87MfefGlGQwZcinXD78MVXHaGR+GlfFhGJYQIlk+IKahs3d/BgOVk6D7SUlJKTOTn+CfQZEYjPKzaV8+yBLpWR7SkqLDTg7CzHsNg0b1K7H2j+30rtQGRXJgyJZZmEM2cSsGCbFOsjILePbOD3nk/Ttwq267a4sUWFuQQOeW4sKHIyzDIyB6ZB05zgePTeXl6XfjlM3gcMigSIrtwq4goWAYYR4+gZI0IFT6AgVe649wZd9OkhMGBr8TgeBCY5pmMN4UDCqWSyDr8DGiHQZuxeCXb1az8NOlvPHhDVStmYJTduKQ3aQfzOGrBav4ct5j4C8Iih66z8PdTy3k3Qd6WOUt4aKHV8P06pg+3RI+/JbwofsMjmQX4vFplI92Eel2YMoSkhoQPRRbFFEsA2PJ8vV46NqWvPbJKt5+vK9d566B7ufO0d15+Z0FfDD5PhTZQZu2Ddi+ay+//7SJZp0bB3MvZUmm15CuvH77BBRZpny5ZGveAU6cOEHFihVL9XcjEAhKjiLnHY5svtt7zPbO0DF1jZ9/2ca02b9yIjOPnp3r8dSdXalYLsbyKwr3KCrmVVTg8bHrYBabdx7n089XsWXXcXTDpFa1ZBrXK0+dmqlUqZhAWrl43BFOws/58/I8HDx8kq0701m9bj9rNx2gXFI01/RoyG1vDMapSqFtewIm0RA0NgWQJRpWSeD9xy9n56FsHn3pSyqWT+Cxe3oRlxBjZXsoBgV5BRw9lkVl8xAKBklJSWXmvOOfXOpSFliyZAlXXHEFNWrUYOvWrTRq1Ii9e/dimiYtWrQ47/UK4eMsycjIICnJ6iJRP1nB79f5fN4v/PrrFrZuPcAlXZryyONDqVIlxc7oMNBMP6ZpBEWP8EwP0744s57DKbd7TSkoeiBJSIHX1hkeQLFU+eIEftYWUkwJSbKElIqVExj3QH/uvvcqpn20mJ69H+TeewfQq0cr6z53cQHENDiafoKsnALql7PKZJKSkspMupvgn0FGRgbVqlWzYjAtkjmLrTrTjBwPDWtYd2SCZmPBVrB++vVuwdhHZ3L5Fe1RJYfVRs7uP2viw8CgWpV4hoy+lA+emcGtT18fagyDVLSjpmGJH0WED9vs0fI+AJctcEx+8mPuemYobtXEqdjCh2KiSgqK5ECVnKiyg317jpOWlmhnXGmcYkIGIEmoquV8VT/RwOV0Eh0dLWJQ8LeQnZ2Nruuhv3mVEknfdQhf5kli4t0cO3CUaZ/fRrTbhSo7cMguZNPBvXd+wBuv3Yxi+MHvtYQP3cf7n6ygT4daVE2Osrq1+P2YPs0SPTxhwodPZ/XuE0xasYejuR4qxbqJVBUO5BTi102Gt6jMFY3KI+kqki16BP50WoanGk2rJXLgaDY5WQXEOh2gWsJH3RrlyDyZw4ljWcSnxKBKTipXSmP8PZ8SnxxD1YbVAMvAWE5wUr1ORYwD6TgdDut7wLr7K4QPgaDsUOTcP9XJkWPZHDpwlPnfrGP+ovW0a1GVx+/oStW0WKtrih4wag50RrQnKCNM+AAiJWhcKY7GleMZ3LUOyBIGErsOZbJx53F+/XUHs9OzSM/Iw+c3iuxTZISDSqmx1K6WxFVdavPkmA529xbDEnr94d0gw09gIFz4sErbDWqVj2XGKwNYsmoP/W/6kGH9WzFsQBskw8G2bYcwTZP6yXKZO/fXjX9uqUtZYPz48YwbN44nn3ySmJgY5syZQ7ly5Rg6dCg9e/Y87/UK4eMsqVy5Mp988gk5eQU06TkCxk1m9uc/8fiTw2nYsErQt0M3/SGRwxZAQq9NWwgxg4JISACBouKHZM+PIdGDoJtzKOPjFPFDCn9HQjIDqfSB7JGQCKKoMqNG92DQkM688fp83n57HnfcfhU9e7Sytq3bAohp8MeGAwA0uexavH6dDRs20KpVq7/r6xYITqFy5cqsWbMGZJUmna8kd9IidqXnUujTiHCpITdSw7SMEu0090rloqldI5VpH33D8JG9MGWsMjPDEkBcsh9TNejavSHNL67Dtj/3ULl+9WBLWiOs7EXmNBkfYb4eLnvkHM3gkbfHkBTvwq1Yd8ndqolDVlDtrheq7ARd4cH7JvPME8Os9FndNicztNBJkz32pecQFx1BxY5D2bp9J3l5eVSuXLkUfyOCfyuRkZEkJiayZs0aBvbvT+OW7fhgxmxeGjeVl98dzr3jetn/l52okuXr8eB9HzFk0CXUrma3rtW8oPk4dPAEXy7Zwlev9AefD/wapl+zyls8GqZHx/RqHDyezwMLNpAS4WR8uxpUjYkAPeTxkafpvLd2P9PXHuStK5uQlhhZ1B7LchNG0nSGdK3Dp19v4JZh7ax5wBYVrx/amalTF3Hv/YNRJAdRrkje/+gW5s5ZSYMmlS3RQwJFktm3fieNGjcFWWXNmjUoilKkzZ9AIPj3U7lyZebOnYtmQJNug+HZ2Vx9w/vcfUNHvv5wBA4JS+zw+qzHgOARFD4oKkAECIgQgVZvkoQsy9ROjqR2SnVoXyOslD7M6Dy8ZCWwTq/XvtETduMnuFxYtockB7cVFD5M+5xJkbm0VTU6XVSVtz9bRd/h7/Hcg335ff1BJEmiYY/ryTiZxZ49e6hSpUrJfPmljM8w//+FBH8bf/75JzNmzACsTkKFhYVER0fz1FNPceWVV553txn5/19EADBixAg8Hg8fTJ7MH4cKkSSJnJx86jesiG5q6KYP3fChmT50028Nw48WeG5q6EbgfWsZzdDQDB2/YeCzh1fXg899uoHf0PEbGn57XZrhw2/40AwvmukrMgLr1gLbKT4MLbQvwUeNqGgnDz82mKkfj2P1mq1c1vMBpn2yGK9mguoExcmUT34AYP1hDx9Pn87Jkye54YYbSvm3IihLjBo1ij/++IOfli5l3f4sAD5bupOkaBfHMgtCWR6aDn6/fZHlAX8BT93flx++/52Fc5eiStYdalV2ocpOHLKKS5FwKybxMU5+W7KW72b8gEsxLTFDNnHJIVHDYft5OOQw0SM4TFZ+tYL/fPoDCXEuXIqBSzZxKyZOWcEhO1BlFw7Zhe6TuXHk6wwZ2ImGtcuBryBoBGlqfqvTha4H3eM//W4rXr/OunSNN99+m6SkJK688spS/I0I/q04nU6GDRvG1KlTOZyezq8bd5KTXciTLw6gcloCLsWFQ46whuLmxWe/oHxqItcO7GALHlamh+n3MvaZhbx4R5eQr4ff9vQIlLh4Nf6z4TCjZ6zhoQ61eKVrPapGuDA9GkZYJkiUKXHfRVV5vH1NRsz+nQPH8sJKZAzw6uDTMf1+rm5bnXk/bLNKabRQuUvvSxvxn+/WYGo6iqSiyA6SkxIYeWNX3nxmHr8sWkOMQ8dteti6fjcbd+zj4OHDTJo0ib59+waN4wQCQdlg1KhRHDlyhJmzZ7PxiAeA+jWSGdyjAQ5Dt+Y0r98SPrwhw2Zs7yJ8PvD6MAq9ZBzLZveeY2zbkc6uXcc4cugknqw8Kwuu0AMFhVBgP+YX2q/t5/kFYe95Qp8VeOyf91qZJh6vvS9eq2OW1z4X8gXmXy3YRQs9cL6kBc+bHJjcM7wt7z/Vj1feW8Ljr3yNLEn8ccjDe++/j2maXHfddaX8WykZNEMq0SEoSlRUVNDXo3z58uzatSv42X9TbiUyPs6SSpUqMXDgQMaNG2e9rpDGgf3H0Y2Qf0eRUhbTwLAfzeCjnRdimuTkevjhP5v5dfl2+g/rwG+/7GDlz1uJiHTy+pTR3Hn9RLweP5f2akqnSxuwed0+atROpUatVFwuNbzZQ1j+R0AUtowSA6Utp8v6kJExMZGQMFGQkImLj+DBhwdyd+FVzPj0Jy6/4hHat2vImNGXs2/fMSqVT+Pqq68GoFevXhfUZVcg+P/o1asXdevWDbavSklKYPuhbMYPrMnL8zfSo3U18Ac8MWxDRLvrg+wymDxhBENGTyI+PoZOXZtjymYwJh2YGIqOYRrcPK4PD46ZzCVXtMEVEYWhSKf0XgrzBwt6ezhlE29uLssWrOCFqXfgtlt+ulUDlyKHiR5u8nP8jBz+Cjff2JM+3RqCJ8cSPjQfps9nXRz6NWvoBoWFXo6cyCcxMTFY2/joo4/icrlK9pcgKDPcfPPNvP/++1SsWDFo6Llu1V4a16uBKjlQZAeK5ODZp2aiyDIPjr061MFF84HmY9aC32lQLYnGVROgwBv09Qgvb/lo+W6Wbj/O5wMvwmVgCRmaiambdtWXnd0omUg61I+N5O1uDbhl/nq+uK41EYoEioGp6OCTkVQZp0OlY+PyfP/LDrp3bRjM/lJUF927NmHRot/odXlbZFTL90cyePDRa3jqkVkU5ntJTEvENE2OHTtG5cqVkWX5vI3UBALB/y7NmzfnkksuYdiwYQBULJ/Knn0nLRFB00M3WwKeHsEyW5PVfx5hyjeb2X8sF1WWSIp1ExvhwKHIaLpBvkcjK9+Hx69jmlazgmqpMdSuGE+1tFiqpsVQISma+GgXsmq3uw9gmui6wdHMAnYfzmbz3hNs3Z/JvmO5aHrR0hjThLgoJ5c2r8zAS2oRFekChbBMEgN0KZQdYppUSIxk6gtXU77dC5RPK8cll1wCwMiRI4OeR/92vLoQI0qTNm3asHz5curXr0/v3r0ZO3YsGzduZO7cubRp0+a81yuZZvFicsGZ0DSNpT/9xP4dG4k28xlw26P8sfkNqtcsV6yUxcAw9eBrwzQxTDh2PIclizZy9HA2Vw5uy9IfNtO6Yz0qVEnBtNPpAyd5YE1xfr+f7JN5LFu8kf27j9J/eAe+/3Itv/+6g4qVk3jilcF89uHPJKXEUL9RJapUT0ZVZBRZwu7+Z3uDhIkekmy/tp+jBDtMWGaL1vKYEj/9uIF33lrIl1+uZMpLD+GIT6Nc5dp0ufRSqy2uQFCCFBQUsOibb3Aa+az8+Qfen/45hyYP5KX5mzicWcjY/s2pUTnBamXpUK3hckJEBFJkNPmmm/43vMsLz99E4xa18Rsea5he/LoPr6FRqEnk+yXW/r6ftFqV0VU3Hl3Cq0tWx00jJHwodgtbl2KiGhr5x09QuVIcsZEyUapBpGrgVmQcdscLh+wm/VAuo294lWceH8rFzSqBJxcK8zC9nmApQDBl1n785ped9B2/kFXzJrFuXybNLu5Eq4svto2OBYK/h/T0dL79+mua163MzXfeQ7mq0cyY/SCy7VPz1BOf4nY5ePiBgXZ2lQf8heAt4OSxDAbd+jFfvToAp65BoQez0AuFPowCDbNQ48OfdrBhfxavdq+P5DeCoofVqEDCNKRgWZkkm1aGtmIiOyUW7T/BjwczeeXKJkhuBcmlIkWqyJEOpCgX6YU697y/ghmvDoQoN5IrEtzRpGdp3P/ELD7+5GH8gYxJw4dmetENP17NR7/uL3FwdybL/rOQn37bTLfLLhNtowWCMorX6+WH778n6+g+Mg/t5s4nX+fo4rtIiHIVLW+BoPDx4mer2XkwiweuaUqt1BgwrBujQa+P05RRaIbJvhP57DiSw97jeew7nk96ZiGZ+d6iVTJBmw6JcvERVC8XTf3K8TSoHE/V5Ggcilx0WUniZJ6Xr34/wNTvtzPtge5ULh9vt/xWrRMZWbaHfStVkdmwK4PmV7/LV5Nf4mihQq2GLWjfsSOKovwt3/M/jXUnppTo9poliSz6cHbv3k1eXh5NmjQhPz+fsWPHsmLFCmrXrs1rr71G1apVz2u9IuPjHFBVla6XdAJlNQUnM4iOiuTzWcsYN/7KotkdmBimjmHCxg0HmPPZKgbf0IklizaSmBzDgBu7Eh0TyRVDO2GYEj7D6iARmAfD7ywjO4lJSaTPtZ2RJRMJGHZHeYbfAYUFHgr8EqlVynHyeA6H0nM5nJ7LB69/S3SMm8dfHEhCYhRul4os6ZYQgoyJHMwCMU0FSTIwUYJZILIkI5lWNsglXRuzefNeFi1azZWVs0lMjYaOXUEVooeg5ImMjOTqflfAslepWNfkuZxCvl9zkIeuaMSqHcd5YfpvHMwsoGJSFF2bVaRPmxrEJkZBhBfT5ycqNpbp79zA4DETefWVW2jUvJa1YkOy7oBggqpjArknslnw6VJufXYkhl0VKEsSigSB+ymKhG1aCh+/MIOmrWrRoPZFRBYRPVz2cLPu9308/OBkJr19MzUrREP+SczcHMjPB48Xf4GHfQczOZKRR06+j5x8Lxk5Ht77ajO1q1emlbqN1k2SoGWLU1vcCQQXmLS0NEaOGAbLXqV/8xQe/Wwl+bl+4uPcPPn4p0S4HTz8wKBQlofuD47n317Cw6M64sQIpVj7dattrU9n4e8HWLX7BO/2amSJHl4dQzMxNAlDl2xfbSloyifZ5+VIIGkmPasm8589GSzbcYyOdVNBMaz1aNYd2LQ4N35NIzsrnziXAxxW28e0lBgyMizzVkmx/hbKkoJsKpiSiSLpHNqfyTWtq1I7axm1R421Sj4FAkGZxOVy0atHd1j2Kkcc+dxhwpzFW7jx8san+neYJjN/2MaJbA+T7uyMpOuYgbKSgGeRESaABLw67HOLGrER1IiLgPppliVHwNsjrLX9KX0Ngpka2OUrRjAV3LTvgCZEORh+SS1qV4hn4pebeHZMR0J3R+Ww7I+QaDLz6/UkxMXQLfEwrrhy0KEdlBHRA8Avyk9KlRo1agSfR0VFMXHixAuyXiF8nCuSBO44IuP8XN27OzOnL+eu+3shyQSzPHTDZNfO4/g1g+lTlnP18E6Uq5LK4NHl0U1L5PDYWXG6ad3RMrDeL64BB8pYJMkSImQp9Fp2ReAzoeUlTULvSfDWzLrkZufhinbx5PjZZJ3MY/hNl3Bxu1rIkoEqG3buh2IJHcgQfBZ4VKy7yYbBJ9O+p/elnUhMLgfuOHHBJShd7BhsVr8mDerUYOoPu7isejItk6JpOaA5SHA428PiP9MZ9uwiyidF8eh1rahYvRymrpEUG8fMiaMYeuv7PPDAYDp3a2FlQBmBTkheQKdH78bs3ZnO7nU7qNm8DjKW0KFJYNoFL1bGh8mfKzcRF+umd7+WRKi6LXooOG3BwyG7+OyTn/ly/gq++OReEiIMyD2BmZtN5oEMPlmwlu9/349kmFRLjqJCXASxbpXYSAeVXA72H8/nobuHI7ljRQwKShY73oZ0b8n9Hy3li1nL2bnjCKmp8dx/7zVFxA50S/zIyc5jy86jvHRLR6sG3a9ZJS5ey9tj6/5MJq/Yw8z+zZH8BoZXx/ARJnpIRcpcwMrGRjGDBt4yBo+1q8nIbzfRoXoykkPG1AwkzTYW1A16tqrGdyt2MeDKFoSuDKBZk+qsW7uD5i3rIEsyhi1+mJj88tM20o9kct1l14hYEwgEFvY8WL58eS7t0IZpX9vCR+AzSQqKH58s3sacRy4LVt1ahusGpmaV3loluGboLmd415WAsCFLmBLWeXjgxB/OIHwQJrzY74UuFpACLuySSW6hn5T4iJC5aUD8UBTrtf0zmmHy6debGXhlL1zRCWVyLhSlLqVLjRo1WL16dbCrWoCsrCxatGjB7t27z2u9otTlfMnYyYrf/qB9n0FMn3MHXXs2wjBNVizfydsvf0PL9nW56e7e+E3LIEe3MzoMU7K7QliPBtZzM/x52GZCokf4fFj0dfBzAnOYGXxUJDh5NJOjB09QmO9h4x97uO6GjqSkxFjzIJJ1t0tSkLEeJcnyAJEkmZW/bOOyLg/z7czJ9Ly0EyTXKulvWiA4PRk7eXPSNMY+9hxbx15KheiQ34UkWTUokiqzMSOPh7/ayPXd6zGoT2OIj4G4OApkF6MfmE2r1vW5857+6JKJ3/DgMwrxG148ukaBBln5Os/dP4OrRvckrXrFYCzLEmQcOs6iT5cw+sGriXJCtMMkymHiVmScihunHIGvEB4Y+wGpybE8cX8/FF8uZl42ZnY2H3z6K3N/2MqYzrXoUTsFpw6mX8cMto6Bt5fvYvy3f7Jv7c9USEsVMSgoHTJ2cuWwm/ll9Rqef24UN47sHhI7NJ+V9WGXunw4fTku0+C6rnWCRnxmvhejwI83x0e/d5YysW8TKjgcmB4tqJsEhA8zKHzY2w5mfJhWqYsKimqgOCWeX7OHtjWSubRhGnKUAynSgRztQIpys+loPtN/3MkLD/SC6CgkdzS4olm8fAcbth7h3rEDwwzILcPvgf1eJH1/Aet+/BIppXapfuUCgeAfRsZO5ny5iP433MHqqcNpUbtcqDOKXeZyxUMLWfhEL0uAtbtYmT7DMl/W7I5yuhnqwnLqSX/oUbbPZ8LfO53wEb4SexkpIGqoMpJDRnKo3PfxGq7rUZ+m9StYpcCqYokeip1SJ1mCyOffbWbw3TNZ+8MCmjVuUCbPO346PK1Et3dJhRElur1/OrIsk56eTrly5Yq8f/ToUapUqYLX6z2v9YqMj/+Ctq2a06p5Y95+7T/ILpXsrEIq10zj5Q/HEBEbSaFuCR5+Q0I3pGC2h2GCTuh5INMjMP8ZATM3QpkepxM65NO9lkxkOzNEsQWQmJRE4sslgGng100eHTeLl967HtnQiYlxWhn+hIweA+UwMgqvvzKPurWqc1mXDqXwDQsEf831Q67mkede480l23m2Q53ghZIkgaRISKpEQ6eDLwa34omftrNiSzov3dYJl08jMj6G6a8N4u1Pf6P/VY/z5pu3Ub5KalAIlPAgS37UaIWb7+3BxFe/4fjRbFIrJ9Ox50X4PH6WLFjJ9Xf2ITECIlSDCBXciopDduGUI9iy8QgPjpvEg/f2o1u7mlBwAjM3hxMHjnHrM1/RqkoCX45uD3k+jIxCNK8OfgNTt+YCn27w1rK9DLyytyV6CASlyF2jR7Bw0RIqlo8vkuGB7gfNejR1jbnfbuTz56+yTP80DVM3MHXLIOe17/5kWLPKVHA7MQs1DL+J4ZcwNAldkzADGR9hjsJW9rVlx21IIOkmpixh6iYjGlXkqZW7uLR+KqZuIummnVJuUC7WTUZWgbWSYEq6QbvWdZg4+XvGjguYfstIpsLWzftYvGgdH77+rPDPEQgEp+XKXt2oWqkCL09fzYyn+1qCR1g5SnDqCJ/ETDPo8WGV49mZH+HZGuHYYock2+UqYZkgp0MKF0TCM0bM0Pp0E9bvOcFLtcpZIocih0SPQMaHLGFKEq9OWUGntq0s0aOMIjI+SoeFCxcGn//nP/8hLi4u+FrXdZYsWUK1atXOe/1C+PgvkCSJR8fexhXX3UzC5Bgeffk6ohOiMcyAEaJkZ3vYbZECokexx2DWW1D4Dc6aduq91Xc4NO+FhBA5UAIT+FwyUaBIxocqmyiSiSJLtOjchNaXNCY/v5C7R7zLtSM7ceU1F4GsIwdTgRUkTH5fvZNvv17DJ+++giyLzseCfx6xMTHcffNIXn5jIqNrVSXV7j5h3e0wUVQTWTVQ3BrPtK3JNwdP0vfBhbx2c3saNakMPj+3D2zGpe1qcuONr3BVv/bcMLoPEWosiuRANTw4ZB9N6pZjwsRhFPpNjhzORnU5SUyK4corG9keH4bdrtaJQ3YhGQ7efGUhv6/exowPbyMlWoKc45i5uSxZsonnPlrBC1c3oVl8FMaxAsw8H1qhieEHQwPDri39aOshDmTn8/A959evXCC4kHTp0IZ2rZrz+BMf07NLfSRDDwoegf+8v6/bT52qiUQ6ZCj02V0PLNHj0PF8fttzknEDWkChhuk3LMFDt0QPQw8IH4CdCYmE5TllWnnjsmSJH7JhdX2pEOXiaJ7X+iNq/yE1sU74HaqMXzNOOY6oSCe6rlOQ78Ed6cREwZQMnn/6c6pWrsB1A0SbaIFAcHpUVeWhe25hzNhHeej6tjSukWRNOPap+yk6Rrj+YZghrw/NDBNE7GUD5Sn2+sxAqYssBY1KT8n4sEWOwM9LQRsOO2NEkUBV+HLNAS5rWQXJEZbhES5+2AanX/34J6s37Of7OU9f0O/tfw2vLq57SoN+/foB1jX2iBFFs2AcDgfVqlXj1VdfPe/1i9/quaJrsPEL2P4fMDQuv6wrrS9qwu7tx3BGR+LXZbx2B4jAKNRkCjWZAk0mzy+T55fI80vkeEw2rd/H9/NWsm71Ttau2sG74z/k7fveZ+++E3z1yRI+fmk2X0//gSyvyW9Lt7BnbwbZHpNcex3BoUnkaxL5fpk8TSbfHgVhj4WatW8eXUaOjOTNGXezZdNh9h/MxquZ6KaObmrB8fD902lYrxZDrr7cuhrb/h/r2HWttH8LgrJMsRi895YbiIyK5IFftrPmYB4bjxSSmQXePIXCXAVProwny8R7XOOy+Dgm9WzIk1N+5Yk3f6Bgz2E4eoz6SSpfvz8MsyCH3j0e5PNPFqP6VaLUBGIc8cQ4Y4hzRpESGUHDGinUrhhLslsi0aUS53QT44gm2hFHhBLLovnruKr3E1RMimT2+zeQ4izEzDxO3oHD3PvEPOZ8s5G5o9rS1OFEO5SH/7gXT6aJN1eiMFfiYIbG7wfzWbonmxfW72HoNX1pULe2iEFB6RAWb5Kp8+zDY1nzx04+nfFTSPDQ/aBrmH4/r37wM3cNbgWaZmd8WMP0G7yxZBvjOtYEzcTwm+i26GEGylvsbA9rYJW7GKFyUNOUQhcQhLJCYl0q+V6Nojnj4NV0nA4l/BZscKWX92rJ3DlLLX8fSeaXZVtYMO9XHh93B05VFrEmEAhCFDvvGDnkGmpWq8TYN38k6BhgWC1mz5CUYRHm+2FlwtmCrVF0BNp5B++M2h4hZrg3CITmNnsfpEBXFkmynisyqAr5foO3v9zMzVc1szu5hISOQHkLsoxP03nghUV06XAxXTu2LdPnHX5DKtEhsDAMA8MwqFKlCseOHQu+NgwDr9fLtm3buPzyy897/SLj41wxDcjYAQUnwTSRZIm3nnuMi3v0Z8aHP3HNjd2DWR5+Q8Kry2iG1bnFq0v88fN6flv0G7phMOixUfzyzW+Uq16RxJhY4pLiuOSWgSiqAlER1OjcivzMHHSfRmahwfbN+1j1nzXUaF6b6IQYln32HQ63gwH3X8eh7ftRFZmKdSqRnJZoZXrYc55DklBlE4ds4pNNVMnqROFQHIx+oB8FOXncdO1EXnl3OElJkajA55/+wqqV21ky92OrdZXuh8y94M2xvgOBoLQoFoPxcbE8+8g4brnvcdwoJDldHCgooEDXqR4dRZ9KabQqF4fTKaHkm8S7FD7q3JBFR0/S94EFDO9Wl6GXN0aNj2ZMz9oM612faV9uom/vh2jUqBr9+rWjTfvGyE7VFgf9dtI9SJKCIqkc2JfBnNmL+W7RGnpc2ph5k28iWtEwTx7DzC/gPz9s5qWPf2Vc93p0qxCPnp6PL8fAXwiaV2LpoUzm7jnC4QIPKS435d1ufj5+HI9p8sJj99nHbYoYFJQ8xeLtkvYX079vT+5/9DMu71qf+CjVLnnxsfqPvSREu6iWEg0er1XfrumYfp28PB+bD2XzXKc6mAV+TM2whI6wbA/DkDB0gm1sIXBeb1qp3MVupYYaHdh3PMOvOCSJk7k+EuMiwswHQ2rKkAHt6X/dqwy9rjuaX+eeOyfRukUThg+6CkxdxJpAIAhRbB50OBxMePZR+g4dwxdLtjHgEssPaMu+k9StlFC0Xa1E8DazJEmYVj8BADS/zqz1B9l8NJeLqyRwRf00pIDJqGGXuZhWK+/QrepTPT8kKSw1XAmIHhKSQ8GQJUa/tZSHR1xMdGyEnekRJgiHzZuvT1nOjr0ZzJ4y2W5wUHbPOzx6ae9B2WbPnj1/y3qFuem5YuiQvgGyDkJyHZCtnLLb7n+Cj2Z+wYeLnyC1Wnm0MBXPq8PvP2/E4zeITEnEERtDZHICmhESegPGz6dp7V2ktE+RQo8SoHl9qA6FQ5t2cfjPPfg9Xtpd04UvnvmIBu0acXHP1sQlRuOQTBwyOGRwKgYuxbRS9GUTl2KwY+Ne3nxmLlM+v52sjGy6tX6avt27Mf29V0PHnbEd4itBWpPgcQsEJc5pYlDXdTr0GUT6jj3Mu6g9kYqKaZrsys9j0bHDbMrNwqXItEtJ4rKKKVSJd+OINDEjTabvPszCncfo2rQCQ7rXo0atchAdhRnhZuP+LBb8uJ3f1h3AHeGmSZPqVK6Sgsvl4mRmLps372PP3qNUKp9A/z7N6NauOorfCwUFmPn5rPhtDxNmrqFGYiTjO9UmIs+PP0vDn2dyPEdj1o4jLD50jBYJiVxdvjIVXFGYBqzKzGDEHyt5/emHuPvmkaHjFjEoKGlOE28HDx+hUcc+XHFZQ6ZNGAq6D8Pn5cobpzLpoV6kRTug0AuFHswCL0aen2lLtmP6DK6rm4aer6F7THSfhBbm7xE0Ng15+1qdFmUTWQFZscrXFIeJ4jBQnSaSS6H/grXMvb4NcpQTOdqBHONEinbz/dYMNh/K5q4bO0OEC8npBkcEOCLB6eapF+fSrEUd1vy+kxdemMmqRV/QomlDEWsCgaAoZzj3v+b621j6yy9smHItqfGRvDN3LVVSounbqrKV6abpVhtvv4Hpt0r+TJ9uDb/BrZ//QfPycbStksj0dQeolxLD9S2rhkSMMMEkaFSqWl4cUvjFQLihqSIhKTI4FAxV4Zb3V9CpRRWu693IEjxUe8iy/aiALLF513Fa9nubO24cwStPPhg67jI6F07e+mmJbm9UvaElur1/Im+++eZZL3vnnXee1zaE8HG+ZOws8jIvL59mXfqixqq89MVD4HDZwgf8OO8X1i/byIDHRqGpTjw6eHXwWgbQwe4uethdLuvRqvMLennYc6AihwSQgCASmP8C7+v5BexcuYG0amkc332Q1IrJNGhdD5di4lbAFSZ+uBQDp2xi+Hwc2HmYx+6eTsaRAjYt+4aE+Liix10GnZ0F/1CKxeD2XXto1rkvPRJSebJG0+D7siwhK1Cga6zMOs5PJ9I54ffSp0IaV1ZLIz5BxhlnsiIzi1lb0zle6KNbi0pcfUltqlRLgagIcLspMCU27T7BweN5eP0GCfFR1K+VQtW0WPD7rTvchYXs3pXOjG828fP6Q1xUJYExrapSHhkt048vF9YfzuPDP/eTUejjqgqV6JSYhmIoaBoYuslJn5chW36hbtMG/DB/+qn+OiIGBaVBsXj7eNY8Rtx+Px+/fi1Dr2jKF1+uZduOdB4e3saKhQIPpseLmefDzPdzxYSf+KR/cyL9JkaBjuYBzSdb5S6aFOroYoYyPiTJtLq5KGHCh8NAddjihxNwSQxYsI55N7RDjlSRop3IsS6kaDdfrj3MkVwfo4e2BbcLyemyhQ9LAMn3mXTs/jAbN+7l0bG38fh9dxQ9ZhFrAoEgnGLz4LHjJ2jUsRfNasTx9XOX0/+xr/n4vkuJcSt2iZ9d6ucz7Od2W1u/9d41U1byap9GVI5xM/abTfSul0r3uraReaCrC6GTe0mVLfFDsVK6JTUs+0ORQu1rHQqaJDP63eV0uagKw3s3trq4BMWOoo8FXo1W10wEIlj7w0LcblfR4y6Dc+HELSUrfNzcQAgf1atXP6vlJEk673a2otTlAhEdHcWsD9+kfZ9BvP3odEY/Owq/KZGZmU9KjYoM7t4OLzIFmpU+5dHBq0lomoSmy5aLvUGwjtkyOpWCgock28KHbAaHErgTZnd1CbTqViVQXZHU6NrGKmuJj2PlZ9+y/uf1DL5vEFZ+iUzATclytTdwOJ3MmLaMTev389P86aeKHgLBP5g6Nasz8dWnGXH7/dR3xXFVYlUM++JJlkGSFdq6UmlXMRUvOoszDzNy6VqaJsRzQ50qtEhJoO1F8Rgugx+PZvLYu8tJL/Bxcd1ydPu/9u47PIpqfeD4d7amF0in94C0UC9ErgpIEREVsSGIgDWKKFcFfwJ6L4LlqlcscK/SLChFQVSqghQLHanSJUgLENKT3ezs+f2xyZIltMQ0d9/P88yTzcxkzsyevJPJu6e0r02ba2LpEB5Ah4iw831jndnoh9PYvvcky34+xNrtx4gN9uOuVjUZdU97tFwHjjQHmWkOFh84wyf7/iDW6s+gGg2o5xeM06mh5ynyHQqHQ2F3OHn28BYcVjOf/vdNGVRYVFmD7ryV79f8xMNj5lM3KpD/zl7PN/8Z4DGuh+uTTp0N+07ToFoggRhw5ue7BvAt6ObiXpyeSQ9U4fDeqqApt3L9HTTgbumNBr+l5tA4Itjdn73wHwI0jboxofz02373NJOuP7K6++u51CyOHDnFtR3bygDCQogSi4qszqdT36TnnUP5x/trCfQzERxgdt3/CqervZiCLilv9GtJ0vytKKW4vXmcK+lRZABTj6SHsbA1R5Gkh8ngat1R9FNQk5Ech5MH3v6Bu7s14fau8QVjemjnu7UU+aqU4uEXFrD/SCo/L5lfPOnho6SrS8Urr+4tRUnio6SUguwzrn5+/uFFBk2Dtq2aM/X1f/LAiNFUqxlNSHQ19m87yO1j7ncnPHJ1yHNAnkPDbjeSfjyN5F82U6dbTza98w72rGyqNbmG6IR27Pn8I1CKhv1uJy/1DBnJvxMYGUGDXjeSn51OQFgwRqPmSn4YFMaCWSyMRoXJoLAUdG2xVgun+4h7MTod/LJ8MwldmkOQxT0bjAHXTDHzpq9kzvTVvP3yC3Tp1L74deeeg6zTEBjhcd1CVKjLxODgu25j/eZfeW3mbMJ0Kx0DolxN5QsGFHO6/6GCG8w1uCEmjl/zUnlu/S6CrSZurx1HYo0wugRF0LVNdTSrYmt6BqtWHuCdOVvJ1Z0efWpVwcGuiQ2la4MInrgtAWOejjNXx56cS0aWk093Heeb5FNcWy2KlxsnEIQVh0ORkw1O3YlTB92p0B2KSce3sy37HMu/mEWN2Jji1y0xKCraJeJN0zSmvP5Pdv62l5se/Ihp4/tgNWhgy3dNYetwoOw62J28seI3XuvZFJWvuwboc+JO9jsL8xBOz6RH4cxMRX/NC4fqcH8YYDSw9o9zdKlXHY+BrQp+pmntcHYdPF3Qj7RI8sPpID0tg5tum0hwYDBzPngbk8nkec0Sa0KIQpd57rjx+muZ+H+jGDPh3/zjjtZF+qwXJD70IgmQotPXahp1qwfyzbDOBX37zic8XBM6XtjSo+Cr0XC+5UdB8gODwdUdxmjgRHoeD7z1A6Pv68D1bet4DmRauBSZGubFyd8ze9E2Im55lmviGxe/bh+9F+bKdLZVRmHnlLKYZl4SHyWl58PGD103v3ZDwWj22Dzknv78fvQYL73+DvVbN+TJmeOwuZ79yNPBrruSHjabkSO/7GTfN8up+ffu5GSZiL9/FEoZ3J98NXv4RXcfZ1O1bMzV6mNLO0Nmhh97Z39ETspxolu3Jq5De3JOHSfqmiZYA82YTK6mwPkmJ2ajwqFAN4Kf0YQxwJ8PRv+Px99Kwqhp7q4xK+b/xL+fn83Ih4cw4qH7i1+30wE75kFANegyCkyWinm/hbjQFWLw7YkvkPzHccatXMs/qyfQ2r86mlb4f49yf1UFOYz6xjCeCQ7nNDn8nHyKafuP4GcycF10JDfUqE58tXCax4VhqAMGk6u5vWvcAc4/O7j+l8J+JJ+cXCcbTqSzNPk0e9OzuCWqJu80/huabsCRrcjUddc/e6rgPBTouuK9lD0sTv+Dj9//N9cndix+3RKDojJcJt4CAvz55tMP6dizPy+8t5rOTSKJC7ZCfuGMLk5+/T2VyEALNfysOHPycToUTt1wPvmhCsb1KJr0KKqwW6fhgqSHK2PPuqOpTOlYx/VJaOE/DsqV5TQVTAFpt+VjsZhRTh1N18nIzqbPwPf549g5flo8l+ioCM8yJdaEEEVd4bnjuREPcejIUd6aPY82DapzV2I915S1FNzSLnZvA/d0s+5xQwsTHu6BSguSG4VfzUa0IgkQd4uPgoTGT3tTGPfRRt596gbi60V6Jj2KzYMLb0xfx4T3VxF23RACm/69+Pn58L0w37fGcq2SPvroI15//XX2798PQOPGjXnmmWcYNGhQqY8piY/SKOwjfAnjn3mCzKxs3pwyne8+Wsrf7rsJu0fSw8DOL5ZT8/petH6iHY58Ezabq6+zw2Hw6O5SSNPC0EJD8QtrRHamovatj7lbeORlnOb03mT2f7uUlkOGYTA4CK0ZidVqQLfoKPP5bHONNs1ofOw0Rw+fol7DWEwaLP9sFe/930yGDryDN/455jLXXTAwnBCV7TIxaDKZmDttMrcMfJhxP23g+ZCWtPWLRNdd3UkcDuVqZeFQ7ucQ15hhFrpaatPbWgfdqvPruVRePXmAs7oNgwYBZhMRFguhFjPBFhMBJiNmgytOc3SdU3l5HMzKBie0CAqne0hNHg4LJT9fkZOmcOo6ulMVJD3OB7euFO+d3cPXmcm89+qL3Deg32WuW2JQVILLxFtsTBSrFn7C9f0G0vWJeSyZcBN1w/zcg/m9u2ofo/5W/3xrD49ZXIpOWYs78XF+thZXF5fzn4Iqd9c1V7NtyLTrhARYXF1dLvw0SDn5W7NYftqazPWJjUA3ciYjnVuGz2LP/hSWz5tJ08aX6LsusSaEKOoy90FXC7iXyMnJYdC/v8VmczDo7/U9Zy1Qyp0MueCH0Yye3xcO3KcVHdC04GthAsTVtc81Q8vZbDuT5mzhbKaNLyb0JTTU/4JWHgXHLHitUEz831rGvbOSZ0c8wvLwWy79abqP3gvzfGv23irnzTffZOzYsTz++OMkJiYCsG7dOh555BHOnDnDU089VarjyuCmpXXBAEcXUkrxfy+/yaS3p9Lh7h50SRpILiZybQY2Tf8SQ0AYNa67GbvN6FrsBnSHAeUAzanQLpJpLJyuz/W1yAj3RoXR5MRkUphMTg5/8xlZfxymfdKDBEcGYrXqWM2KAJPC3wQBJji2ZTdxNaqx/qs1fDVlEUlD72PypLFXHlPABwc4ElXUFWIwNzePAUOfYOn3qxnuH083c00cdif2fOX+R+tC5z9RBrNZw2IxYLZoWCwadoNOppZPNg7ycGBHR0dh0DSsBiPVTVZqmAIwKgMOh6vriq4XtDIpaOFR2DUGXIOu5jodvJmxk/V5KUx94188OOiuK1+3xKCoDFeIt4OHj9DzziFkpZ9jwXM30D42lNOnMnlk1kY+v6MNKjsfPVfHYTPgsGuugU3zi47xUaQFOJ6zuRhN6vzAphaFyawwWCEl38FLPx3gv3e3xRBgRvMzoQWYXF/9LGC1sC05jU9X7uP1Z3ux/0QGtzw2m3Pp+Sz+fBrtWre4/DVLrAkhirrCfVDXdR58+gVmzJ7Pi3cl8PytzdEcyjWoqV4ws4vT1f1F6YVd8IocoOA53z1WkUE7P5aHyYBmds3W4kp4GFBGIzO+38e8NQd59p523NCuTpFER5GkR+HDjcGAXVc8MWkxH36xhZeeG8HYUY9fuQuBD94Ln/55doWW92aneyu0vKquXr16vPTSSwwePNhj/axZs3jxxRdLPR6ItPgoJ5qmMfGFUdSuGcvjY/7Jid+SufaFx9H8qmGwBlHrhj7Y8gzYbUZsNiO6XUPLV5h0haYrNKXQFGgFT4JKcyU8lKahDBpOo2su8HyTAYcRjEYDutmJbtao3fteck4c5MzBExj9G4EyotALEr4Kkwaa1cqrg18m43Qar41/ln8kDS+TvlNCVBX+/n4s/HgKI8b8iykzZ7PXlM49zkaYlZFslc9GUthHGnkUpvU1wpWFmgQRr4cTkx+ALU+5m9obTRoms5nqRotrhomCZvRFpSsnTl13tSop8jBT2NS1sLWpQdM4RiZv5O0iVcvnq0+mcnOPrhXzxghRDhrUq8NPi+dz66CHuX7sEv59ZwJ52TbuS6iJyncWdHHRcOp4JDrOD72hubu5K82VINSu8LHMqWwbscGuT2CVU7kGQi2cH76gCUmrBhE8O3UtXy7fxbCXviU2Joafl3xIg3p1yv9NEUL4FKPRyLT/TKRurTjGvzqZzQfOMG14R8Ks5iJjfxRRZMra8+sueK1p56ezNRjOtwgxGHh13jZy8nW+mdQPo8VUPOmhFRykIPFx9GQ6dz+3gM17TjD97Uk8cO8d5fZe/NXZpatLpTpx4gSdO3cutr5z586cOHGi1MeVxEc5e2TIvTSPb8yA4SNY+MBoYjq0p8WDT2DLM5BvN5Kfb0C3aRjtTowOJ0aHwuB0FiQ/ihxIO5/8cBo1nAYNZTCg6xpOowGHUcPpNOJ0uj4984tuiMmUz48T/0XHkY8RGhOIzeBKfhxcs5kVr07HqMOyudO58fprK+39EaI8mUwm3n/9JTq0acmj/xjHPkMmHewR7CONa4nlXhoTpLlug06lSCWPI2Szkj84SQ61nMG0oBoNCcWsG7HbLhhssXDgVCjWiuRiLUoKEx8rOMo85yEaNKjD8lnvE9+oQfm9CUJUkKjI6vywaDZPj53EiOmfEB3sx+rhnUF3FnzCeX42F6UXjuvhmT1UqqCPO6pg/A9XCy2MQOH3BV1ibLoTP1OR/xpUkYM4XZ+spmfmcTo1hwHPfEH/m3syffIkQoKDK+YNEUL4HE3TGPePJ2jT8hoGPfoPWv/fUv47uC09m8Vc4gcueO3u64erq0vholFkMbDtcCq//ZHGjNE90Aqnpr0w6VGQJFHAR19v56l/ryAkJJS1X39Gx7aty+9N8AI2h3wYXJkaNmzI3Llzef755z3Wz5kzh0aNGpX6uNLVpaR0B+z9FjJOQv3rXKMdXoWzqed47NkXmfvVYqJbtKbuHQ9hCq+PPdeIZlOY7Tomu46el0PWsd8IjWzAnhXvohkMxMZ3xS80Crsti5Aa8WgmE06DK/nhNBYkPswGnCYDmklhMirMFh2LVceWcpADCz7hurHPkH/uGNs++JhDP27h5h438MGbLxMTHXl11+10wKHVEBIDTfqAUXJmopKUMgZ/23+QwY89w6ZtO0jUYumvGhCqFQ7UVXgb1NyvlYKjZLGTsxwgAw2oTwj1CaUGAQRjKdZKKlvls590ksnEiSIaf+IJJ1zzAxT7VDqfmw/ye346Ix8ewsT/G4W//6XHC/IgMSgqQynj7ZvlKxn+5BiyMzMZ3aEuDzWtiVE3ubq65Gs4HZorcV8w3kfRxGFhdzODQaEVduk0u76aLE6MZoXJD7aey2LF0VSe79UUzc+Ewc+E5mdE8zfhNBuZteYw/zdrI7n5irdfHsuQe/pfXctGiTUhRFGlvA/+cfwEw558nuU/rOO2trV5pV9z6oYHuCZ8Kdo6DYq07sCd7HCP7WEu6OZico3poZmNDJu8hhcGdaBezWpgMl4we8v5Vh7b96cw8vUVrN78O4PuvJXJE8cSFhriPse8fCf3f/EHALP618TPXCSZ7MP3wge+m1Oh5c3ofhVdnX3IF198wV133UX37t3dY3z8+OOPfP/998ydO5fbbrutVMf1nd/gsqKccGq3a2TnehcZAfkSqlcLZ86HbzPozn488fwENrz0OBEJNxB17T2EhNbE6HCSdnAzyRu+oGazG7FG+5PQfSSqoL18bk4qZ5K3c2T9XFr2fR6DxYLBaEBXBrSC4aAdgFMZcCjQDAY0DfxjGlC35y2sf3sqyat/IDY6innTJtO/b6+SdW1RCs4egNxUaNy7JO+YEGWrlDEY36gBPy2Zy/8+msPz//o3G3N+oaszjhupRZhWdN56V1xoGtQiiFoEAZCvdA6RyWEy+JETZJHv0SpLAf4YaUAo1xCOEQMnyGYeB0lXdnQD7FPnaBt/DZ+99gF/a5dQwuuWGBSVoJTxdnOPruz5eTnjX32bcdM/Yeq2Y4xsXof+tWtgweR61r9EU+LCFh2qoLuLa7Bv5R74u3BO6kCzkSybw523VCh03cmX6w4zYeFO9hw9x7239+W1F58tPj30Za9ZYk0IUUQp74M142JZOnc6n335Nc+Mn0Tzfy5lyN/q8o9uTagTHuDZwqOowjE5ip5CYfe/gp85mZZLvbiwYmN4FLb62HHgNBOnrWPeij00blCHZXOn0+OGLsWKcipY/0eu+3WxQn30Xmi3Ga+8kyhzO3fupHnz5vTv35/169fz1ltvsXDhQgCaNm3Khg0bSEgo4fNzEdLio6ScOhzbAul/QFQzMJQ8MGw2Gx9+Mo8Jb03h5KkUIhu2JbxOR6rXbElgQHXMGDEUjPMB57u4oGnoBsjX89i+4j806zkSY2AwutGAbjagGzV0k6vlB5qN7P2/cG7TMlK2byQsLJQXnnqUR4fce/WfMF943Sm7IbQm1GhTqusWokyUQQymnkvjjfen8/bUGdjsdtpr0STqUcQTjqHgYcP1fHH+weP8HDBFW6ZqRdqKqCL7Qq7KZxOnWWc5zQF7Ko3q1uFfzz/FgH69rzyI8MVIDIrKUAbx9tv+g7z02jvM+Wox4f5W7qoVy+01a9AwMKSgtYdWrKtY0VYfRnNhiw/X4KZGixOTFdKUzpi1+/jw7rb8nmPj81//YNpPyfxxNpOeN1zLP0ePpEObVqW7Zok1IUShMrgPZmfn8O60j3ntnf+RlpHJzS1qMLh9LXrEx2Ap6LLnbu1R0EXFNchpQcsPswHNbHQNbmo2ccu/lrFo4i0FrT1MYDSQbXPw1doDzPh6Jys3HKJWXAwvjEpiyN23Y7FcfCraHLuTZpNd04XuHtGIAEvRFh++ey8csODLCi1v3m23V2h5VZXBYKB9+/YMHz6cu+++m+Ay7poqiY/SusLIzlfDZrMxb9FS3p32Ces3b8Ns8adazVZE1WhF9ah4gkPjMBSMelTYtaVwYNO0Mwc5sGEOLfu9gNNsxGGA7IwTpB3bQ9qhzWQd3Ex+bhZtWl5D0tCB3HN739IlPC7kgyM7iyqqDGIwLT2D6bPnM2X6bA78foQwox/N9XCaEU4jQgnH74JECMVeF36vK50/yGYf6ezkLHu1dHQUN16fyBPDB9G7+3WlS3hcSGJQVIYyiLcDh47w7rSP+XjOAlLTM2gYEsz1EZF0qhZBq5Awgo1Wd3AZDMqd+DAUdHUxmQsTH4o87Gw5l8mT3/9GaICVLcfOERjgz1239uGJ4YNo3aLZn79miTUhRFFlcB/Mzs7h0y8W8f70T/h1117CA63c2CSKG+Oj6Vy/Og2igtAKWm64Ex9GA1gKEh8mV1eXWyYsZ+GEvuz+I411u06ybMPvfLchmZw8O9d2bEvSsPvof3NPzGbzZc/nsomPQj54L7xt7sIKLW/BnbdWaHlV1dq1a5kxYwbz58/H6XRyxx13MGzYMLp0Kd5aqTQk8VFaZXDzK2r/wd+Z+9Vivl7+Axu3/orT6cRi9Sc0rAYW/yisAWGY/YPRTBZXyw/lIDc7lXx7NvnZKWSn/oEtNxtN00ho2Zxbet7AgFt60axJ6QeAuSgfvPmJKqoMY1Apxcat25n/9VK+XvI9vx10TZMVavYnhgCq5ZsJxYI/JswYUCjsOMkin3RsnLbmc8KRhV13YDGZ6NKxHX17d2NAv97ExUSX2XkCEoOicpRhvNntdpauXMuCb5ez9LvVnDxzFoCawcHU9Qsgxmwl0s9CgMmExaCha05sysHZfBsnbXYO5eTx+7lMnEoRGhRIr+7X0a93d27p2Y3AwIAyO0+JNSGEhzJ+9t+xey/zFi3h2+Ur2bJjDwBhgX40iQmhXjU/YsP8CQ204GcxgqaR51Sk5tg5kZ7Hqh0nyLXrZOfaMRoNdGrXmj43duXOfr2pX7f2VZ+DJD4u7qaPv67Q8hYP6luh5VV12dnZzJ07l5kzZ7J27VoaNmzIsGHDuP/++4mJKUHX1QtI4qOklIK8dEg9DJagi/fN+5Mys7LYsGU7W7bv4rf9hzh05CgnU06TmpbBmYxclFJEhgYQFhJMbHQkdWvVIL5RA9q0bEbHtq0JDSmHEeuVAnsWVKsHfqHlct1CXJUKiMGU02f5edNWtu/+jT37DnL02ElOnEohIyubMxm5aAYDkSH+RFYPJyYqggZ1a9O0UQPaJ7SkTctr8POzXrmQkpIYFJWhnONNKcXBw8n8snkbO/fs47cDhzh+MoVTp8+Qk5PL2aw8NKOZ2LAAoiOrExsdSZOG9WnWuCF/a9eapo0blE1LKs+TklgTQpxXAc8d59LSWb/5V7bu2M2e/Qc5cvQYJ06dJj0zi9PpOWiaRkSIP9XDQ4mJiqR+nVrEN6pP21bNad+6BUFBgaUq97KJDx++F3b/cHGFlvfd8JsqtLy/kgMHDjBjxgw+/vhjTp48Sa9evVi0aFGpjiWJj5Jy2GHtG64BjtoNBePlm5CVpavKypYXPR82TYeAatBlFJgu3ldQiHInMSgxKCqOL8abxJoQoigvvg9e9vg+fC+8furSCi3vh0d6VWh5fzXZ2dl8+umnjBkzhrS0NHRdL9VxZFaX0jCaKm1KJ39TJWZbK/G6hfAgMShExfHFeJNYE0IU5cX3wcse30fvhTKrS9WwZs0apk+fzhdffIHBYODOO+9k2LBhpT6etPgorTLu5/eX4YP9/EQVJTEoRMXxxXiTWBNCFOWL90HwyXthu9dWVmh5m57tWqHlVWXHjx9n5syZzJw5kwMHDtC5c2eGDRvGnXfeSWBg6bp0FfK9FJ4QQgghhBBCCHERBoezsk/BJ/Xu3ZvvvvuOiIgIBg8ezNChQ2nSpEmZHV8SH0IIIYQQQgghBGC2lW4MCfHnmM1m5s+fz80334zRWPbdjSTxUVK6A/Yvh8wTUCcRDBX3FuY5nDz61XEApvSLw89UgQMrOh1w5Ec4sw8a9fDJ/n6iipAYlBgUFccX401iTQhRlBffBy97fB++FxrzpcVHZSjtbC1Xy3d+g8uKcsKJX10jO9fuXKFFO52w6nC2+3WFUgpSfoOsFGjYvYILF6IIiUGJQVFxfDHeJNaEEEV58X3wssf34Xuh2S4tPryRJD5KymCEen+H9GOgVeCnvZVNM0DN9hBaw/UeCFFZJAYlBkXF8cV4k1gTQhTli/dB8Ol7oUW6unglSXyUlMEIdRN9b2RngxFqtPHJkZ1FFSMxWNlnInyJL8abxJoQoihfvA+CT98LjTK4qVfyobSlEEIIIYQQQghxaWabo0KX8vLyyy/TuXNnAgICCAsLu+g+I0aMoG3btlitVlq3bl2i4yul6N27N5qmsXDhQvf6s2fP0qtXL+Li4rBardSqVYvHH3+cjIyM0l9MGZAWHyWlFOTnQH4umPxA0yr7jCqGUuDIA3s2mAN857pF1SMxKDEoKo4vxpvEmhCiKF+8D4JP3wu9ZVYXu93OgAED6NSpE9OmTbvkfkOHDmX9+vVs3769RMf/z3/+g3aR3wuDwUC/fv2YMGECkZGRHDhwgKSkJFJTU5k9e3aJr6OsSOKjpPR8+HGya4CjdkPBaK7sM6oYTgds+QgCqkGXUWCyVPYZCV8lMSgxKCqOL8abxJoQoihfvA+CT98LTV7S1eWll14CYObMmZfcZ/LkyQCcPn26RImPbdu28cYbb7Bp0yZiY2M9toWHh/Poo4+6v69Tpw6PPfYYr7/+egnOvuyVKvGhlCIzM7Osz+WvwWGH7DzItUFmVoVO7ZRjVzhtOQBkZGbhsFRg5lV3QI4NVB5kZPjUzU9UMRKDEoOi4vhivEmsCSGK8uL74GWPX8XvhcHBwRdtbVAWKrrFh81mw2azeayzWq1YrdYKPY+rlZOTw7333st7771HTEzMFfc/fvw4X375Jdddd10FnN1lqFJISUlRgCyyyCKLLLLIIossssgiiyyyVOiSnp5emn9jq6Tx48cXu77x48eX2fFnzJihQkNDr3gOrVq1uqrjPfTQQ2rYsGHu7wG1YMGCYvvdfffdyt/fXwGqb9++Kjc3twRnXfZKlbK0WFwZv6NHjxISElKaQ4i/kIyMDGrVqiX17QOkrn2L1LfvkLr2HVLXvkXq23dIXXsKDg6u7FMoM2PGjOHpp5/2WHep1h6jR4/m1Vdfvezx9uzZQ3x8fJmdX1GLFi1i5cqVbN269Yr7vvXWW4wfP559+/a5r/H9998vl/O6GqVKfBQ2KwoJCZHA8yFS375D6tq3SH37Dqlr3yF17Vukvn2H1LX3KUm3llGjRjFkyJDL7lO/fv0yOKuLW7lyJQcPHiw2S0z//v3p0qULP/zwg3tdTEwMMTExxMfHU61aNbp06cLYsWOLjQlSUWRwUyGEEEIIIYQQooqLjIwkMjKy0sofPXo0w4cP91jXokUL3nrrLfr27XvJn3M6XQPGXjiWSUWSxIcQQgghhBBCCOFFkpOTSU1NJTk5GV3X2bZtGwANGzYkKCgIgAMHDpCVlcXJkyfJzc1179OsWTMsFgvHjh2jW7dufPTRR3To0MHdiuNCtWvXpl69egAsXryYU6dO0b59e4KCgti1axfPPPMMiYmJ1K1btyIu/aJKlfiwWq2MHz++yo40K8qW1LfvkLr2LVLfvkPq2ndIXfsWqW/fIXUtSmrcuHHMmjXL/X1CQgIAq1at4vrrrwdg+PDhrF69utg+hw8fpm7duuTn57N3715ycnKuulx/f38++OADnnrqKWw2G7Vq1eL2229n9OjRZXBVpacppVSlnoEQQgghhBBCCCFEOTFU9gkIIYQQQgghhBBClBdJfAghhBBCCCGEEMJrSeJDCCGEEEIIIYQQXksSH0IIIYQQQgghhPBapUp8vPfee9StWxc/Pz86duzIhg0byvq8RDlbs2YNffv2JS4uDk3TWLhwocd2pRTjxo0jNjYWf39/unfvzv79+z32SU1NZeDAgYSEhBAWFsawYcPIysqqwKsQV2PSpEm0b9+e4OBgoqKiuPXWW9m7d6/HPnl5eSQlJVG9enWCgoLo378/p06d8tgnOTmZPn36EBAQQFRUFM888wwOh6MiL0VcwZQpU2jZsiUhISGEhITQqVMnlixZ4t4u9ey9XnnlFTRNY+TIke51Ut/e48UXX0TTNI8lPj7evV3q2rscO3aM++67j+rVq+Pv70+LFi3YtGmTe7s8o3mPunXrFottTdNISkoCJLaFKEslTnzMmTOHp59+mvHjx7NlyxZatWpFz549SUlJKY/zE+UkOzubVq1a8d577110+2uvvcbkyZOZOnUq69evJzAwkJ49e5KXl+feZ+DAgezatYsVK1bwzTffsGbNGh566KGKugRxlVavXk1SUhK//PILK1asID8/nx49epCdne3e56mnnuLrr79m3rx5rF69muPHj3P77be7t+u6Tp8+fbDb7fz000/MmjWLmTNnMm7cuMq4JHEJNWvW5JVXXmHz5s1s2rSJrl270q9fP3bt2gVIPXurjRs38t///peWLVt6rJf69i7XXHMNJ06ccC/r1q1zb5O69h7nzp0jMTERs9nMkiVL2L17N2+88Qbh4eHufeQZzXts3LjRI65XrFgBwIABAwCJbSHKlCqhDh06qKSkJPf3uq6ruLg4NWnSpJIeSlQRgFqwYIH7e6fTqWJiYtTrr7/uXpeWlqasVqv67LPPlFJK7d69WwFq48aN7n2WLFmiNE1Tx44dq7BzFyWXkpKiALV69WqllKtuzWazmjdvnnufPXv2KED9/PPPSimlFi9erAwGgzp58qR7nylTpqiQkBBls9kq9gJEiYSHh6sPP/xQ6tlLZWZmqkaNGqkVK1ao6667Tj355JNKKYlrbzN+/HjVqlWri26TuvYuzz33nLr22msvuV2e0bzbk08+qRo0aKCcTqfEthBlrEQtPux2O5s3b6Z79+7udQaDge7du/Pzzz+XVS5GVLLDhw9z8uRJj3oODQ2lY8eO7nr++eefCQsLo127du59unfvjsFgYP369RV+zuLqpaenA1CtWjUANm/eTH5+vkd9x8fHU7t2bY/6btGiBdHR0e59evbsSUZGhrs1gahadF3n888/Jzs7m06dOkk9e6mkpCT69OnjUa8gce2N9u/fT1xcHPXr12fgwIEkJycDUtfeZtGiRbRr144BAwYQFRVFQkICH3zwgXu7PKN5L7vdzieffMLQoUPRNE1iW4gyVqLEx5kzZ9B13SO4AKKjozl58mSZnpioPIV1ebl6PnnyJFFRUR7bTSYT1apVk9+FKszpdDJy5EgSExNp3rw54KpLi8VCWFiYx74X1vfFfh8Kt4mqY8eOHQQFBWG1WnnkkUdYsGABzZo1k3r2Qp9//jlbtmxh0qRJxbZJfXuXjh07MnPmTJYuXcqUKVM4fPgwXbp0ITMzU+rayxw6dIgpU6bQqFEjli1bxqOPPsqIESOYNWsWIM9o3mzhwoWkpaUxZMgQQO7jQpQ1U2WfgBCi4iQlJbFz506PvuHCuzRp0oRt27aRnp7O/Pnzuf/++1m9enVln5YoY0ePHuXJJ59kxYoV+Pn5VfbpiHLWu3dv9+uWLVvSsWNH6tSpw9y5c/H396/EMxNlzel00q5dOyZOnAhAQkICO3fuZOrUqdx///2VfHaiPE2bNo3evXsTFxdX2acihFcqUYuPiIgIjEZjsdGET506RUxMTJmemKg8hXV5uXqOiYkpNqCtw+EgNTVVfheqqMcff5xvvvmGVatWUbNmTff6mJgY7HY7aWlpHvtfWN8X+30o3CaqDovFQsOGDWnbti2TJk2iVatWvP3221LPXmbz5s2kpKTQpk0bTCYTJpOJ1atXM3nyZEwmE9HR0VLfXiwsLIzGjRtz4MABiW0vExsbS7NmzTzWNW3a1N21SZ7RvNORI0f47rvvGD58uHudxLYQZatEiQ+LxULbtm35/vvv3eucTifff/89nTp1KvOTE5WjXr16xMTEeNRzRkYG69evd9dzp06dSEtLY/Pmze59Vq5cidPppGPHjhV+zuLSlFI8/vjjLFiwgJUrV1KvXj2P7W3btsVsNnvU9969e0lOTvao7x07dng8SK1YsYKQkJBiD2iianE6ndhsNqlnL9OtWzd27NjBtm3b3Eu7du0YOHCg+7XUt/fKysri4MGDxMbGSmx7mcTExGJTzu/bt486deoA8ozmrWbMmEFUVBR9+vRxr5PYFqKMlXQ01M8//1xZrVY1c+ZMtXv3bvXQQw+psLAwj9GERdWXmZmptm7dqrZu3aoA9eabb6qtW7eqI0eOKKWUeuWVV1RYWJj66quv1Pbt21W/fv1UvXr1VG5urvsYvXr1UgkJCWr9+vVq3bp1qlGjRuqee+6prEsSl/Doo4+q0NBQ9cMPP6gTJ064l5ycHPc+jzzyiKpdu7ZauXKl2rRpk+rUqZPq1KmTe7vD4VDNmzdXPXr0UNu2bVNLly5VkZGRasyYMZVxSeISRo8erVavXq0OHz6stm/frkaPHq00TVPLly9XSkk9e7uis7ooJfXtTUaNGqV++OEHdfjwYfXjjz+q7t27q4iICJWSkqKUkrr2Jhs2bFAmk0m9/PLLav/+/erTTz9VAQEB6pNPPnHvI89o3kXXdVW7dm313HPPFdsmsS1E2Slx4kMppd555x1Vu3ZtZbFYVIcOHdQvv/xS1uclytmqVasUUGy5//77lVKu6dLGjh2roqOjldVqVd26dVN79+71OMbZs2fVPffco4KCglRISIh64IEHVGZmZiVcjbici9UzoGbMmOHeJzc3Vz322GMqPDxcBQQEqNtuu02dOHHC4zi///676t27t/L391cRERFq1KhRKj8/v4KvRlzO0KFDVZ06dZTFYlGRkZGqW7du7qSHUlLP3u7CxIfUt/e46667VGxsrLJYLKpGjRrqrrvuUgcOHHBvl7r2Ll9//bVq3ry5slqtKj4+Xv3vf//z2C7PaN5l2bJlCihWh0pJbAtRljSllKqUpiZCCCGEEEIIIYQQ5axEY3wIIYQQQgghhBBC/JVI4kMIIYQQQgghhBBeSxIfQgghhBBCCCGE8FqS+BBCCCGEEEIIIYTXksSHEEIIIYQQQgghvJYkPoQQQgghhBBCCOG1JPEhhBBCCCGEEEIIryWJDyGEEEIIIYQQQngtSXwIIYQQBYYMGcKtt95aaeUPGjSIiRMnltvxd+/eTc2aNcnOzi63MoQQQgghqhpNKaUq+ySEEEKI8qZp2mW3jx8/nqeeegqlFGFhYRVzUkX8+uuvdO3alSNHjhAUFFRu5dxxxx20atWKsWPHllsZQgghhBBViSQ+hBBC+ISTJ0+6X8+ZM4dx48axd+9e97qgoKByTThcyfDhwzGZTEydOrVcy/n222958MEHSU5OxmQylWtZQgghhBBVgXR1EUII4RNiYmLcS2hoKJqmeawLCgoq1tXl+uuv54knnmDkyJGEh4cTHR3NBx98QHZ2Ng888ADBwcE0bNiQJUuWeJS1c+dOevfuTVBQENHR0QwaNIgzZ85c8tx0XWf+/Pn07dvXY33dunWZMGECgwcPJigoiDp16rBo0SJOnz5Nv379CAoKomXLlmzatMn9M0eOHKFv376Eh4cTGBjINddcw+LFi93bb7zxRlJTU1m9evWffEeFEEIIIf4aJPEhhBBCXMasWbOIiIhgw4YNPPHEEzz66KMMGDCAzp07s2XLFnr06MGgQYPIyckBIC0tja5du5KQkMCmTZtYunQpp06d4s4777xkGdu3byc9PZ127doV2/bWW2+RmJjI1q1b6dOnD4MGDWLw4MHcd999bNmyhQYNGjB48GAKG3AmJSVhs9lYs2YNO3bs4NVXX/VoyWKxWGjdujVr164t43dKCCGEEKJqksSHEEIIcRmtWrXihRdeoFGjRowZMwY/Pz8iIiJ48MEHadSoEePGjePs2bNs374dgHfffZeEhAQmTpxIfHw8CQkJTJ8+nVWrVrFv376LlnHkyBGMRiNRUVHFtt100008/PDD7rIyMjJo3749AwYMoHHjxjz33HPs2bOHU6dOAZCcnExiYiItWrSgfv363Hzzzfz973/3OGZcXBxHjhwp43dKCCGEEKJqksSHEEIIcRktW7Z0vzYajVSvXp0WLVq410VHRwOQkpICuAYpXbVqlXvMkKCgIOLj4wE4ePDgRcvIzc3FarVedADWouUXlnW58keMGMGECRNITExk/Pjx7oRMUf7+/u4WKkIIIYQQ3k4SH0IIIcRlmM1mj+81TfNYV5iscDqdAGRlZdG3b1+2bdvmsezfv79Yy4tCERER5OTkYLfbL1t+YVmXK3/48OEcOnSIQYMGsWPHDtq1a8c777zjcczU1FQiIyOv7g0QQgghhPiLk8SHEEIIUYbatGnDrl27qFu3Lg0bNvRYAgMDL/ozrVu3BmD37t1lcg61atXikUce4csvv2TUqFF88MEHHtt37txJQkJCmZQlhBBCCFHVSeJDCCGEKENJSUmkpqZyzz33sHHjRg4ePMiyZct44IEH0HX9oj8TGRlJmzZtWLdu3Z8uf+TIkSxbtozDhw+zZcsWVq1aRdOmTd3bf//9d44dO0b37t3/dFlCCCGEEH8FkvgQQgghylBcXBw//vgjuq7To0cPWrRowciRIwkLC8NguPSf3eHDh/Ppp5/+6fJ1XScpKYmmTZvSq1cvGjduzPvvv+/e/tlnn9GjRw/q1Knzp8sSQgghhPgr0FTh/HdCCCGEqDS5ubk0adKEOXPm0KlTp3Ipw26306hRI2bPnk1iYmK5lCGEEEIIUdVIiw8hhBCiCvD39+ejjz7izJkz5VZGcnIyzz//vCQ9hBBCCOFTpMWHEEIIIYQQQgghvJa0+BBCCCGEEEIIIYTXksSHEEIIIYQQQgghvJYkPoQQQgghhBBCCOG1JPEhhBBCCCGEEEIIryWJDyGEEEIIIYQQQngtSXwIIYQQQgghhBDCa0niQwghhBBCCCGEEF5LEh9CCCGEEEIIIYTwWpL4EEIIIYQQQgghhNf6f4fu1sypl0GaAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1200x126 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "hmp.visu.plot_topo_timecourse(epoch_data, estimates_cumulative, info, as_time=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b6f5e43-0835-4b57-9f50-4841f94c1e41",
   "metadata": {},
   "source": [
    "## Example application 1: looking at individual topographies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e6508ff1-6dcc-48fb-bcfe-6ecb226cdd3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1800x375 with 5 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting individual topographies for a specific event across participants\n",
    "from mne.viz import plot_topomap\n",
    "\n",
    "# Get event-channel weights for each trial\n",
    "by_trial_weights = hmp.utils.event_channels(epoch_data, estimates_cumulative, mean=False)\n",
    "\n",
    "# Plot topographies for each participant for a selected event\n",
    "fig, axes = plt.subplots(1, 5, dpi=150, figsize=(12, 2.5))\n",
    "axes = axes.flatten()\n",
    "event = 2 # Event index to plot (1-based for display, 0-based for indexing)\n",
    "\n",
    "# Looking at the topographies of the 5 first participants\n",
    "for i, participant in enumerate(epoch_data.participant[:5]):\n",
    "    ax = axes[i]\n",
    "    # Average across epochs for the selected event and participant\n",
    "    topo = by_trial_weights.sel(event=event-1, participant=participant).mean('epoch')\n",
    "    plot_topomap(\n",
    "        topo,\n",
    "        info,\n",
    "        sensors=False,\n",
    "        cmap='Spectral_r',\n",
    "        res=100,\n",
    "        show=False,\n",
    "        axes=ax,\n",
    "        contours=False\n",
    "    )\n",
    "    ax.set_title(f'{str(participant.values)[:-4]}')\n",
    "\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f79600b-ed68-42a2-bc59-06c048784e52",
   "metadata": {},
   "source": [
    "## Example application 2: analyzing condition effect on interval between events"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "5408ac30-fe41-4904-8bcf-a2dc35e30519",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
       " *\n",
       " */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, white)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "  margin-bottom: 4px;\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-array-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item input {\n",
       "  display: inline-block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "  border: 2px solid transparent !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item input:focus + label {\n",
       "  border: 2px solid var(--xr-font-color0) !important;\n",
       "}\n",
       "\n",
       ".xr-section-item input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.5em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details {\n",
       "  padding-top: 4px;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  display: none;\n",
       "  grid-column: 1 / -1;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray (trial: 900, event: 5)&gt; Size: 36kB\n",
       "array([[ 63.33333333, 160.        , 216.66666667, 426.66666667,\n",
       "         36.66666667],\n",
       "       [120.        , 226.66666667, 263.33333333, 466.66666667,\n",
       "         13.33333333],\n",
       "       [113.33333333, 176.66666667, 526.66666667, 533.33333333,\n",
       "         16.66666667],\n",
       "       ...,\n",
       "       [170.        , 170.        ,  63.33333333, 106.66666667,\n",
       "         16.66666667],\n",
       "       [160.        ,  80.        , 190.        ,  26.66666667,\n",
       "          6.66666667],\n",
       "       [ 56.66666667, 176.66666667,  70.        ,  23.33333333,\n",
       "         20.        ]], shape=(900, 5))\n",
       "Coordinates:\n",
       "  * trial        (trial) object 7kB MultiIndex\n",
       "  * participant  (trial) object 7kB &#x27;participant3_epo&#x27; ... &#x27;participant2_epo&#x27;\n",
       "  * epoch        (trial) int64 7kB 0 2 3 5 7 8 9 ... 192 193 194 195 197 198 199\n",
       "  * event        (event) int64 40B 0 1 2 3 4\n",
       "    group        (trial) int8 900B 0 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0 0</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'></div><ul class='xr-dim-list'><li><span class='xr-has-index'>trial</span>: 900</li><li><span class='xr-has-index'>event</span>: 5</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-271ea6f0-444c-4258-96a2-aa88d9df3872' class='xr-array-in' type='checkbox' checked><label for='section-271ea6f0-444c-4258-96a2-aa88d9df3872' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>63.33 160.0 216.7 426.7 36.67 120.0 ... 56.67 176.7 70.0 23.33 20.0</span></div><div class='xr-array-data'><pre>array([[ 63.33333333, 160.        , 216.66666667, 426.66666667,\n",
       "         36.66666667],\n",
       "       [120.        , 226.66666667, 263.33333333, 466.66666667,\n",
       "         13.33333333],\n",
       "       [113.33333333, 176.66666667, 526.66666667, 533.33333333,\n",
       "         16.66666667],\n",
       "       ...,\n",
       "       [170.        , 170.        ,  63.33333333, 106.66666667,\n",
       "         16.66666667],\n",
       "       [160.        ,  80.        , 190.        ,  26.66666667,\n",
       "          6.66666667],\n",
       "       [ 56.66666667, 176.66666667,  70.        ,  23.33333333,\n",
       "         20.        ]], shape=(900, 5))</pre></div></div></li><li class='xr-section-item'><input id='section-dfc7d318-8f78-49bf-a85d-b346f921cdca' class='xr-section-summary-in' type='checkbox'  checked><label for='section-dfc7d318-8f78-49bf-a85d-b346f921cdca' class='xr-section-summary' >Coordinates: <span>(5)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>trial</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>MultiIndex</div><input id='attrs-d6f684f5-b42c-4b9b-88d7-ee6f653a4624' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d6f684f5-b42c-4b9b-88d7-ee6f653a4624' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-17ae68f2-e73c-4607-8957-39ffd7896a4d' class='xr-var-data-in' type='checkbox'><label for='data-17ae68f2-e73c-4607-8957-39ffd7896a4d' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[900 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>participant</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>object</div><div class='xr-var-preview xr-preview'>&#x27;participant3_epo&#x27; ... &#x27;particip...</div><input id='attrs-ddc723ab-6419-4424-a475-5dded166b8eb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ddc723ab-6419-4424-a475-5dded166b8eb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-efe66447-29a4-4ab8-882a-f549accd8cf2' class='xr-var-data-in' type='checkbox'><label for='data-efe66447-29a4-4ab8-882a-f549accd8cf2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[900 values with dtype=object]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>epoch</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 2 3 5 7 8 ... 194 195 197 198 199</div><input id='attrs-88604878-2e91-4372-b112-8abbe8664014' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-88604878-2e91-4372-b112-8abbe8664014' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ba54b894-8de2-4d74-89ba-22b34e12abbc' class='xr-var-data-in' type='checkbox'><label for='data-ba54b894-8de2-4d74-89ba-22b34e12abbc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>[900 values with dtype=int64]</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>event</span></div><div class='xr-var-dims'>(event)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>0 1 2 3 4</div><input id='attrs-b2b3213d-c68a-44ba-8ece-4c92a22d7d28' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b2b3213d-c68a-44ba-8ece-4c92a22d7d28' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3dab7d42-5bec-4805-8b4e-6daf04d5aae9' class='xr-var-data-in' type='checkbox'><label for='data-3dab7d42-5bec-4805-8b4e-6daf04d5aae9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 1, 2, 3, 4])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>group</span></div><div class='xr-var-dims'>(trial)</div><div class='xr-var-dtype'>int8</div><div class='xr-var-preview xr-preview'>0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0</div><input id='attrs-be4f96ae-0ef8-488e-8e99-b3986c1cc176' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-be4f96ae-0ef8-488e-8e99-b3986c1cc176' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7cad28f0-13a7-4c9d-aa7a-02bb3b6ef32e' class='xr-var-data-in' type='checkbox'><label for='data-7cad28f0-13a7-4c9d-aa7a-02bb3b6ef32e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "...\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "       0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0],\n",
       "      dtype=int8)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-cb51237c-7495-4d09-97d5-654b416f5732' class='xr-section-summary-in' type='checkbox'  ><label for='section-cb51237c-7495-4d09-97d5-654b416f5732' class='xr-section-summary' >Indexes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-index-name'><div>trial<br>participant<br>epoch</div></div><div class='xr-index-preview'>PandasMultiIndex</div><input type='checkbox' disabled/><label></label><input id='index-2e7ae3bd-ed57-47aa-a9e6-951c6449d31b' class='xr-index-data-in' type='checkbox'/><label for='index-2e7ae3bd-ed57-47aa-a9e6-951c6449d31b' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(MultiIndex([(&#x27;participant3_epo&#x27;,   0),\n",
       "            (&#x27;participant3_epo&#x27;,   2),\n",
       "            (&#x27;participant3_epo&#x27;,   3),\n",
       "            (&#x27;participant3_epo&#x27;,   5),\n",
       "            (&#x27;participant3_epo&#x27;,   7),\n",
       "            (&#x27;participant3_epo&#x27;,   8),\n",
       "            (&#x27;participant3_epo&#x27;,   9),\n",
       "            (&#x27;participant3_epo&#x27;,  12),\n",
       "            (&#x27;participant3_epo&#x27;,  13),\n",
       "            (&#x27;participant3_epo&#x27;,  14),\n",
       "            ...\n",
       "            (&#x27;participant2_epo&#x27;, 189),\n",
       "            (&#x27;participant2_epo&#x27;, 190),\n",
       "            (&#x27;participant2_epo&#x27;, 191),\n",
       "            (&#x27;participant2_epo&#x27;, 192),\n",
       "            (&#x27;participant2_epo&#x27;, 193),\n",
       "            (&#x27;participant2_epo&#x27;, 194),\n",
       "            (&#x27;participant2_epo&#x27;, 195),\n",
       "            (&#x27;participant2_epo&#x27;, 197),\n",
       "            (&#x27;participant2_epo&#x27;, 198),\n",
       "            (&#x27;participant2_epo&#x27;, 199)],\n",
       "           name=&#x27;trial&#x27;, length=900))</pre></div></li><li class='xr-var-item'><div class='xr-index-name'><div>event</div></div><div class='xr-index-preview'>PandasIndex</div><input type='checkbox' disabled/><label></label><input id='index-95e0d55f-03fb-4211-9d74-8ebb7332d6c1' class='xr-index-data-in' type='checkbox'/><label for='index-95e0d55f-03fb-4211-9d74-8ebb7332d6c1' title='Show/Hide index repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-index-data'><pre>PandasIndex(Index([0, 1, 2, 3, 4], dtype=&#x27;int64&#x27;, name=&#x27;event&#x27;))</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a5f3651-87bf-4f64-8d6d-7e906b12da5a' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-0a5f3651-87bf-4f64-8d6d-7e906b12da5a' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.DataArray (trial: 900, event: 5)> Size: 36kB\n",
       "array([[ 63.33333333, 160.        , 216.66666667, 426.66666667,\n",
       "         36.66666667],\n",
       "       [120.        , 226.66666667, 263.33333333, 466.66666667,\n",
       "         13.33333333],\n",
       "       [113.33333333, 176.66666667, 526.66666667, 533.33333333,\n",
       "         16.66666667],\n",
       "       ...,\n",
       "       [170.        , 170.        ,  63.33333333, 106.66666667,\n",
       "         16.66666667],\n",
       "       [160.        ,  80.        , 190.        ,  26.66666667,\n",
       "          6.66666667],\n",
       "       [ 56.66666667, 176.66666667,  70.        ,  23.33333333,\n",
       "         20.        ]], shape=(900, 5))\n",
       "Coordinates:\n",
       "  * trial        (trial) object 7kB MultiIndex\n",
       "  * participant  (trial) object 7kB 'participant3_epo' ... 'participant2_epo'\n",
       "  * epoch        (trial) int64 7kB 0 2 3 5 7 8 9 ... 192 193 194 195 197 198 199\n",
       "  * event        (event) int64 40B 0 1 2 3 4\n",
       "    group        (trial) int8 900B 0 0 0 0 0 0 0 0 0 0 0 ... 0 0 0 0 0 0 0 0 0 0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Compute max likely time for each trial and each event\n",
    "times =  hmp.utils.event_times(estimates_cumulative, duration=True, add_rt=True, as_time=True)\n",
    "times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "7fee55ca-aab9-463b-b20e-cce2664674c5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\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></th>\n",
       "      <th>event</th>\n",
       "      <th>group</th>\n",
       "      <th>duration</th>\n",
       "      <th>stim</th>\n",
       "      <th>resp</th>\n",
       "      <th>RT</th>\n",
       "      <th>cue</th>\n",
       "      <th>movement</th>\n",
       "      <th>trigger</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>participant</th>\n",
       "      <th>epoch</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">participant1_epo</th>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>156.666667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>resp_left</td>\n",
       "      <td>683.0</td>\n",
       "      <td>SP</td>\n",
       "      <td>stim_left</td>\n",
       "      <td>SP/stim_left/resp_left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>33.333333</td>\n",
       "      <td>1.0</td>\n",
       "      <td>resp_right</td>\n",
       "      <td>1068.0</td>\n",
       "      <td>AC</td>\n",
       "      <td>stim_left</td>\n",
       "      <td>AC/stim_left/resp_right</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>resp_right</td>\n",
       "      <td>994.0</td>\n",
       "      <td>SP</td>\n",
       "      <td>stim_left</td>\n",
       "      <td>SP/stim_left/resp_right</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>173.333333</td>\n",
       "      <td>1.0</td>\n",
       "      <td>resp_left</td>\n",
       "      <td>1352.0</td>\n",
       "      <td>AC</td>\n",
       "      <td>stim_left</td>\n",
       "      <td>AC/stim_left/resp_left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>96.666667</td>\n",
       "      <td>2.0</td>\n",
       "      <td>resp_left</td>\n",
       "      <td>722.0</td>\n",
       "      <td>SP</td>\n",
       "      <td>stim_right</td>\n",
       "      <td>SP/stim_right/resp_left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th rowspan=\"5\" valign=\"top\">participant5_epo</th>\n",
       "      <th>193</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.666667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>resp_right</td>\n",
       "      <td>555.0</td>\n",
       "      <td>AC</td>\n",
       "      <td>stim_left</td>\n",
       "      <td>AC/stim_left/resp_right</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>194</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.333333</td>\n",
       "      <td>1.0</td>\n",
       "      <td>resp_left</td>\n",
       "      <td>418.0</td>\n",
       "      <td>AC</td>\n",
       "      <td>stim_left</td>\n",
       "      <td>AC/stim_left/resp_left</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>16.666667</td>\n",
       "      <td>1.0</td>\n",
       "      <td>resp_right</td>\n",
       "      <td>377.0</td>\n",
       "      <td>SP</td>\n",
       "      <td>stim_left</td>\n",
       "      <td>SP/stim_left/resp_right</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>resp_right</td>\n",
       "      <td>649.0</td>\n",
       "      <td>AC</td>\n",
       "      <td>stim_left</td>\n",
       "      <td>AC/stim_left/resp_right</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>1.0</td>\n",
       "      <td>resp_right</td>\n",
       "      <td>301.0</td>\n",
       "      <td>AC</td>\n",
       "      <td>stim_left</td>\n",
       "      <td>AC/stim_left/resp_right</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>4500 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                        event  group    duration  stim        resp      RT  \\\n",
       "participant      epoch                                                       \n",
       "participant1_epo 1          0    0.0  156.666667   1.0   resp_left   683.0   \n",
       "                 2          0    0.0   33.333333   1.0  resp_right  1068.0   \n",
       "                 3          0    0.0   20.000000   1.0  resp_right   994.0   \n",
       "                 4          0    0.0  173.333333   1.0   resp_left  1352.0   \n",
       "                 5          0    0.0   96.666667   2.0   resp_left   722.0   \n",
       "...                       ...    ...         ...   ...         ...     ...   \n",
       "participant5_epo 193        4    0.0   16.666667   1.0  resp_right   555.0   \n",
       "                 194        4    0.0   13.333333   1.0   resp_left   418.0   \n",
       "                 195        4    0.0   16.666667   1.0  resp_right   377.0   \n",
       "                 197        4    0.0   20.000000   1.0  resp_right   649.0   \n",
       "                 199        4    0.0   20.000000   1.0  resp_right   301.0   \n",
       "\n",
       "                       cue    movement                  trigger  \n",
       "participant      epoch                                           \n",
       "participant1_epo 1      SP   stim_left   SP/stim_left/resp_left  \n",
       "                 2      AC   stim_left  AC/stim_left/resp_right  \n",
       "                 3      SP   stim_left  SP/stim_left/resp_right  \n",
       "                 4      AC   stim_left   AC/stim_left/resp_left  \n",
       "                 5      SP  stim_right  SP/stim_right/resp_left  \n",
       "...                     ..         ...                      ...  \n",
       "participant5_epo 193    AC   stim_left  AC/stim_left/resp_right  \n",
       "                 194    AC   stim_left   AC/stim_left/resp_left  \n",
       "                 195    SP   stim_left  SP/stim_left/resp_right  \n",
       "                 197    AC   stim_left  AC/stim_left/resp_right  \n",
       "                 199    AC   stim_left  AC/stim_left/resp_right  \n",
       "\n",
       "[4500 rows x 9 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Turn into dataframe and recover metadata\n",
    "times = times.unstack().to_dataframe(name='duration')\n",
    "times = times[~times.duration.isna()]  #Remove rejected trials\n",
    "times = times.reset_index().set_index(['participant','epoch'])\n",
    "\n",
    "# Recover metadata and merge with times\n",
    "times_metadata = epoch_data.sel(sample=0, channel='Cz').to_dataframe().iloc[:,3:]\n",
    "times_metadata = times_metadata.reset_index().set_index(['participant','epoch'])\n",
    "times = times.merge(times_metadata, on=['participant','epoch'])\n",
    "\n",
    "times"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "537552a3-bcf4-43fd-9d85-9197de05bb72",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Event durations by condition')"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "mean_ac = times[times.cue == 'AC'].groupby(['event']).duration.mean()\n",
    "mean_sp = times[times.cue == 'SP'].groupby(['event']).duration.mean()\n",
    "\n",
    "plt.plot(mean_ac.index, mean_ac.values, 'o-', label='AC')\n",
    "plt.plot(mean_sp.index, mean_sp.values, 'o-', label='SP')\n",
    "plt.legend()\n",
    "plt.xlabel('Event')\n",
    "plt.ylabel('Duration (ms)')\n",
    "plt.title('Event durations by condition')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3eaf3685-9ec2-4c64-8aec-e6372315a8fb",
   "metadata": {},
   "source": [
    "## Example application 3: Comparing conditions on centered ERPs:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "edd470d9-7ec0-4481-9fb0-ee75b5ad7d47",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plotting centered ERPs for each condition (AC and SP) with confidence intervals (±1 std)\n",
    "fig, ax = plt.subplots(1,1)\n",
    "\n",
    "# Get event times (positions not durations) for all events/trials, including stimulus onset\n",
    "times_position = hmp.utils.event_times(estimates_cumulative, duration=False, mean=False, add_stim=True)\n",
    "\n",
    "# Define window size in samples\n",
    "baseline = -.1*sfreq  # 100 ms before event\n",
    "n_samples = .4*sfreq  # 400 ms window\n",
    "\n",
    "event = 2  # Event index to center on, 0 is stimulus\n",
    "\n",
    "# Select a subset of channels to analyze (e.g., centroparietal channels)\n",
    "channel_subset = ['CP1', 'CP2']\n",
    "\n",
    "for SAT in [\"AC\",\"SP\"]:\n",
    "    # Select trials for the current condition and stack participant/epoch as 'trial' for easiness\n",
    "    subset = epoch_data.where((epoch_data.cue == SAT), drop=True).stack({'trial':['participant','epoch']}).data.dropna('trial', how=\"all\")\n",
    "    # Center activity on the event for selected channels\n",
    "    centered = hmp.utils.centered_activity(subset, times_position, channel_subset,\n",
    "        event=event, n_samples=n_samples, baseline=baseline)\n",
    "    # Average across channels,\n",
    "    centered = centered.data.unstack().mean('channel')\n",
    "    # Compute mean and std across participants\n",
    "    indiv_traces = centered.groupby('participant').mean(dim='epoch')\n",
    "    mean_tc = indiv_traces.mean('participant')\n",
    "    std_tc = indiv_traces.std('participant')\n",
    "    # Plot the timecourse with confidence interval\n",
    "    ax.plot(centered.sample, mean_tc, label=SAT,)\n",
    "    ax.fill_between(centered.sample, mean_tc-std_tc, mean_tc+std_tc, alpha=0.2)\n",
    "ax.set_xlabel(f'Time from Event {event} (ms)')\n",
    "ax.set_ylabel('Amplitude (V)')\n",
    "plt.legend(title='Condition')\n",
    "plt.tight_layout()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d7c724e9-7895-4785-b481-9348d64d2c3d",
   "metadata": {},
   "source": [
    "## Splitting conditions"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5c4cb11e-6ed4-4e52-94d7-eda6e7041348",
   "metadata": {},
   "source": [
    "When estimating a model across all conditions, we can also split the data by condition. This is useful to see how the model estimates differ across conditions, such as speed vs accuracy instructions in this case."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "29ea3f83-eba4-4777-9e59-4b489b80ed78",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x126 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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y/57ouoE7M4fMU2dJO3KUw98sRdJ10o8fQdc0GtStxZCBvRk6qA9F42L//ucR40wgEBQG/sHc7XK5WbRkOR8u+pJV6zag6zqVqpVBM3T6DmtPtXqJlCpfgpjYSGQ5d9iJrmukp2Rw8shZdv6ynyXz1oEhcXj/KVRVoUuHNgwZ2Ie+3Ttjt9v//ucphHO367neBdqe85EvC7S9/xoHDx5k9uzZvP3226Snp+PNc5HmryKEj1A0L2yeBVlnofYAUGz/71vOnD3H1LdnMXPuAtIzMunYJJGbOlene8uKlIgNt07cMG//rKslKXc8oCRx4EQqX63fz/yVe/hl90nKlU7gnrHDuX3YYMLDw/7a5/n9U4goDk1G/aXPIxD8Kf9gjBw4dIT/TZvJR59+ia7r9OzakBv7t+D6Tg2ILhJlxo36hQ6k/ONiLQHEHEc6GDqGpvH7ziN8tmQT8z/5kT8OnKJ2jSpMumM0twzo9ddEQjFGBFcj/2Cc+Xw+PvzkC15+aza79/5BdEIZijZuR8nGLYguWw6b3UBRdGTFQJbNxRx25u+SYZjjztBB1yU0n4ymSei6hDsjmzPbf+PMz+tI3rEZVZYZOqgPk+8eQ8UK5f7a5xHjTCAQXOv8g7k75Xwqr70zh7fnzCf53HkatazO9X2b0Pr6ehSLj0UzJHTDnKMNQM/nVEKWQJYMJMxDKEUykCU4fSKZ9St/Y8Xin/l1834SShZn/KghjB99K9FRUbm2ke3RafSWKdj8ckdlwu1yoZ673S/1LdD2HA98XqDt/RfIyclh0aJFzJ49mx9++IHExERGjBjB8OHDKV36nzlQhfARis8DP0yF7BRoPPJPB3hWVjYvvD6DV2e8j6rAmD71uGNgQ8rHx1wodvx/ooefUPHDf1+SQIJte5OYtmAr81fupGhsDE8+cA+3DbkRRVEuvj3NC1tmQ3gctJkI6j9QeQWCUP7GGDlz9hyPvPAK789fTPGiUdw19npuG96RYsWKBMUOWQ4RPqzH+eZc1kPGkh5cdEsE0TVWr/2d199ezlcrtlKlYnlefPwB+nTr/OcOEDFGBFcjf2OcGYbBZ0tXMumplzl85Cgl67cgoWMvYqvVQVFAUQxUm46i6GbZvID4YR4o50U3JHSdoPChSWha8L4rLZ3ja1dwavVSPJnpjLplIM8+dO+f56US40wgEBQG/sbc7XK5eeXt2bz4xjt4NR+9bm7NjaOvo2zFkuahDuQrepiXgYLHNZL1KFT8UCRQZANZMlCs9Qf3nGT+u9/z5ccbiAgP55H77uCu0UOw2cx9zPbo1Jz2BwC77q4SFD4K6dztmTagQNuz3/1pgbZ3NbNp0yZmz57NJ598gsfjoV+/fowaNYoOHTr8620L4SMUXYf0E3D+MESWvGgG4yUrVnHHA4+TfC6F+25pysRbmhEXbeUYMPjnwgfkETxCRRDz7qETqTz17no+XPY7DerU4L1XX6BhvVr5b8vQIfM0xFaA6NIgF66MzILLwF8YI4Zh8M4HHzP5mZeRZYNHJ/bk9hGdCItwgqz+uejhv3/hRq0xFBQ7guKHZi7W422/HuSRZxax4vsdXN++Ne9MfYYK5crk/3nEGBFcjfzF36JDR45x24RHWbVuA0VrN6FCr6HElK8YdHUoBopioKi6KYColvhhPSflI3wYhmQOKV3CF+L6CHWA6JqEN8fN0dXLObZ8IU5F5uUn7ue2ITfmLzSKcSYQCAoDf3Hu/m7tj4yd+BhHT5xk4KiODL/rBuJKxARPH7hQ9NCMoDMvP6QQkUMOcX2Eih8ScPpkCjOnfs2nc9dTrXIi777yHK2aNcpf+CjEc7f3nZsKtD3b2AUF2t7VSs2aNdm7dy8NGjRg1KhR3HzzzcTExFyy7QvhIz8uEpuXlZXN+MlPMWfBZ9zQugrTJnWiYplYS+ywkgr5hY9QsSOv8OF/TYigEeD/ET78bNpxgjte/I6dB8/wxKS7ePi+cRfE/AUohLF5gsvMRcZI0umzDBv/AN+sWc/Iwa3432P9KFY81hQ8ZNm6VcwlIHgouQWQizk0LnB7aBeKH7oPdB1D87J05TbGP/gx59NyePN/TzDspn4X/zxijAiuRv4kTvz9+Z9y18PPIIVFUX7gHRSv2+QCsUOWDRTVFDxUm46qGLlCXfKKH4YhWcPMEjs0Cc0XFEC0PLc+n4wrNZ1Dn8/h1MaVdOnYhg/eeImSJYrlv9NinAkEgsLAReZul8vN/U++yJuzPqRxqxo8+NItlK+cAJinBmC67vzujgvuX+SMzX+a8FfFD0mCvb8f45kJ8/jtl4M8MP42Hpp4N/XePgyECB9+CuHc7Zt9c4G2p46cX6DtXa3cfffdjBo1inr16l2W7QvhIz/ymbD2HThEv2HjOHz0OK8/0JnhPesGtYg/Ez4uED2M4OzmJ1TY+JNwl7x4vBrPvPcjL8zZSJcOrZk34xXiYotc+MJCOGEJLjP5jJEff/qFgaPGYxheZk8dTNfr6oKimmKH/1ZSrPtKUPQIuEAkTp8+z67dRzh8+DRer4+EhDiqVi1L5cqlUPzCnl8AsUQODEv00HzWfV/gftr5TO59dCEfLNrE6CGDePOFx/OvACPGiOBqJJ9x5na7uf3+J5jz8WLim3WhfP8xOCLCUVX9QoeHzRQ8bKoe4vowRQ9FNg+E8+qMhmFeWdQs8cNnCR8+b1Ds8HkvfHxi/bcc/fxt4mKi+Pz9N2nRpMGFn0eMM4FAUBjIZ+4+evwk/UbcyY7de7n7iYEMHNnBTOQOlrghhdw3H/tdHl6vD69P59tPN7Dx223ElojhrueG8dy46dRuWpW23ZtSskxcLrHjYrd+8UOWzOIKc95YwbTnl9C0UX2ONr4XJTJWCB+ANn9ogban3Dy3QNsrrAjhIxRdh+S9cP4oxCUGLGo//vQLvW4dQ/Eidj6d0p+aFYvncXTw58KH/ifuj3ySmiLncX1cRPjw882mQ9zy2BJKFI9n+cLZQVu/oUPKIYgtB8WqFSqLmuAycZExsvDzrxk6/n6a1SvDgulDSShVNLfgoagg24Kih1/wkFXSM3OY8c7XrPp+GwkJcdSuXYHECvGoqsLJk+fYu+8Ye/cep1ixGIYM6UznTo2QMIIhL36hI3Drd34E18+a9wPjH1tMi8YN+fyDt4Ol3cQYEVyNXGScpZxPpdfQO9j0y2+U7383CS07oVguDjVU7PA7PGw6tpDHdsXAoYBdBpsMkq7jycomMzkVWVUoUro4kqLiM8CjgVcHjw4+TcLrlfF4FLzeoPDh88rmY5+M1w1pRw5y5LMZuE7uY/7bUxjQ6wbz84hxJhAICgMXmbu3bd/JDYNHozjgxdnjqFGvQiBJqV/0CJw+EBQ9NB0+n7OKH5dvZfRjg4lLKEpYVLg5hxrgdXvZvnEXsXFRnDmRzM/f/sIt9/YisXICimSgyqbYoUohYjdBZwiYQsjWjX9w74iZpHscFO3/FH881TEY6lJI525t0fACbU8ZOKdA27sa6dq1K08++STNmzf/09dlZGTw1ltvERkZyZ133vm32hDCRyj5JCX6bu2P9LxlDE1rJ/DZKwOJjXKar/0rwoeuB2ex/MJfIB/RQybgQ5Nl/izcJZR9R1Lodu8i3JrKmi/mU6VShUKdlEhwmchnjLz34SfcNuERbu5Vn1kvDcIR5jATeuUSPmzBxVqvIzN7zrd8smgNd47vzQ3dmiArMmBg+Ku4ACAhSRInT6bw/qwV/PjjTh566BY6tKtnjTOf+V3XvCFihzePGOLjh4376HPbHMqVKcuqzz40y3GKMSK4GslnnCWfS6F936H8cfQU9hLlqDnuOexhjtyCR4jIYbPp2B0aDoeGTTGwWWKHqnlZ9eqHpJ06S+tB1xEdG8Xva7ahaRqdRvdi5cwv8Wk6rUf1RY2KwqtjCiE6uD0ybo+CxyPjdStBMcRjih9HVn5GdNXmnFz5ISk71vLeq88x8paBYpwJBILCQT5z98bN2+gyaARlKxXn9fl3EVu8CMAFwoeeR/TIynSjGfDD8q2079MCXVLQdPM587XmSYGE39EB506cYfmH3zH2sRtRJFBlwxRArGSneUNfIBgWc+rYOUb0n8bx45ms++IjmjeoWajnbn3J6AJtT+71XoG2dzUya9YsHn/8cWJiYujZsyeNGzemVKlSOJ1Ozp8/z65du1i/fj3Lli2je/fuvPzyy5Qr9xcqy4UghI9QNC9s/8RM5FP1BtZs2soNN46kQ9PyfDplIE6HcpHkpf51/llLzy10XCCGQK54l1BnR37Cx/8jevhJSs7gujsWku6SWL90IYll4mHfcjPBUt1BhaoMleAykWeMzPlkCSPunsy4wU2Z9kQvZLsdSVEskUMFxZ7b7aHYQbFxOjmTMbe/TsfrGjDuzh7Iioxh6OhoYBjW6AiOEckqcyshk3o+kxdf+ISTJ88xdeo4SsXHmeKGX/zQPMHHudwgXnbsOkGnW2ZSulQZVn8xjyKRYWKMCK4+8oyz8xnZtOl1C/tPnKVMn7vJ2L+FqoPHB5wethDRw2bTsdk1HE4Np0PHqRo4LNHj3MFjRMdGInk9lKtQEoeCFfdtjjafbro89m7dz/EDJyhdqxKpZ1MpWSMRJSIClw+yvBI5LgWPW8HjUfC4ZbyWGJK8ZzfndmwhvuNIjn/2Gmd/Wc6cN15k6IAeYpwJBIJrnzxz9+btu7mu31Cq1i7NGwvuxhnhDIS0hAodgCVomMLG0QOnefWhDxj//Ajiy8cHntMNU4j2Jz4FyySOKXLYZFPk+G7RWjr3a0GYQ0WRjYDjw5an2ov5fiOwjfTzmQzt/RpJx9NY9+XH1KpSodDO3fqKcQXantz17QJt72rF7XazaNEiFi5cyPr160lLSwNAkiRq1qxJly5dGDVqFDVq1PhH2xfCR34k7+f33fto1X0QTWvH8+W0m3Da1dzixgUODqxEi/wF4cPAnGKsW7/Q8S+FDzDFj3ZjP0axR/Pjsk/Mq9qFMDZPcJlJ3s+KVevoccttjOzXkLef6oWkqmBTkfIKHqrNEj5soNrZte8U4+95i9en3UmNWmXRDR0DHcPQMTACt1j/+69pSEhIkoyEjCzJ7NxxhPsnvcsDDwzm+k4NzQMOnyd4q3vBl9sJYmg+ft91nPa3vEf92nVY8cls7Ha7GCOCq5Pk/bjdbjoNHMnP2/dQeeyryLKOPdxOZMkSwVAWv+hh13E4TNEj3KERroLkygG3i8+enEnxciW5flRPSpQuilMBh2xgVyzhwzCFD7cu4dHMg+vjfxxn5/rtHPn9IAOfHMOZk+dwlk4gwyOR5ZJxuVQ8LgW32xRAPB6Zwys+o3jrmyBH4+jnr3Ju+yqWfTyT6zu0EeNMIBAUDpL3c+DQEVp0G0jpxDje+fRenBFhucSO/BKYarqEV4epD7zP4Hv7EluyaOA1upV/yWdI+HRCPLEE3B022czlsfnbX/hh6SYmTxuLwyaZjg/JEkaskBdV9uf6CLpAZCAjNYubur9C5nkfG5cvonRCfKGcu/Xv7irQ9uRObxRoe/8V0tLSyMnJoWjRooHSy/8GIXzkQ8ofW2h0XW9iwg3WfDCM6PC8pWrzET8uJnzoRv4iSGCD/4/w4X/8Nzhw/DwtR35EvTp1WLloDkrJapeiWwSCAHs3fUOTzn1p17gsi6cNRrWroChINjUYzqLaLeeHdas6+H3vKe6b9A5zP5xMsRLR6IYXPSB66OiGjil4mAKIiRnqIiEHbmVLAHG7fNwx9k06dmzIqBFdg6KH1xXi/vAGHCCG5gWfjx9+OsT1I95nxM0DmTHl6UL5oy74D5C8n9H3PsycT76k8uiX0D2ZyLJB8XpNLHeHht1h5e+wm2EtYWEaEXYd/XwK62d+ijPMzk2PDEOVDGyKjCKDKoFN9uf7MO3POuDTJTy6hOb/KTNAxzwYd7l9fPDk+9giw2l1+41kGiqZOQrZ2SpuywHidiu4szXObt9GZJXWSC4vB+Y9jufUbn5d9QWVm153hTtUIBAILj+Zh3+jWdf+ZPsy+XjlA0THRedKWJpX+NAsF8eJo+fYsXk/bXq1QAvk+ZDQ8SeeDgogmnVKIQOqHBQ/VEvE+GnlZmo2rER8qSKBfB82a+4PdYH43R6hlV9OnzpPnw4vU6ZkadYt+RhH6VpXtD+vBPq6CQXantz2lQJtr7BSeLLU/EUMw2DonfeTnpHGZ2/cRHRkWEieDaz7f0OJCLwn9DHkLu2Sd3v5tSFdZLmQSmViWfB8L1b/+BNPvjTtr++rQPAXyMnJof/wOylVPIKPXuyPqirBpLxIF5aolc3Ql8PHU7h34gw+nPcQxUpEohleNMNn3Xrx6R7z1vAE7ude/OuDz9udMu+9fw+bt+zh3feWBfOI+EUXfyUZa18kyRQT2zRNZNqj3Xnng4/5aNGXV7pLBYJ8+WDBZ8yat4iyfe/Cl36G5J+XE1ejbjCkxRYUPcLCfESE+4h26sgZ53GdPEWXYV0Z8eRwYhwSRZwSMXaDGLtBtF0n0mYQpuo4FR2nqhOmGDhVnQhVJ9quE2PXKeLQibUbxDp0ikcp3P3SaOo0rYaSlkKU4SYqXCM8woczTMPuNEUYe5jM2Z9X4M04DXaVCoMeBmcMfYfficvlutJdKhAIBJedcQ88weHjx5nx8TiKFovK7aqwbkMxAK9P59XJH1ClfqWQ5KbmrU+X8OqSFeYSFD3879Wt66w+6zW6IdGsSxP27zzK1h93W44RKfjePJe88+5f6VKxzPp4LL/+vpuJj/+vILrs6sNuK9hFUCAI4SMUzcu7jwzj62/XMOeFflQoE5fHiZHHnRG6AAEhIrDuYuJEPhVbcpWxzfs2KXhimXe5SDsdGpfnqTFteP61t9k0+2HzqrdA8G/RvDw6ujf7Dx1m0dSBREU6Qr6PfodSbsEDxUZalpfRt7/OO+9OIK5YBD5LyNAML5puih5+wcOnW0KIcZH1ujdknQdd0njl9dFs2PQ7ny7+wRQ9VEdIQtXQSjJKwEU1elATbulZnzvvf4RjS18WY0Rw9aB5Ofzli9z5wOPEVK6Ho0gs0eUrUvO2h3GG27DZNMvtoeF0+ggL9xEephGhevnx9bns/XodTVrXomadssTYDGLsOtE2U/CItmlE2XSibBoRqm6JH6boEanqRNu1wBITcmsuOh27N6JcqWg+nTQV79GjFAnXiIzw4XRq2O0adrtB5f7DOL91BdhAiYikwo2PsfuPAzwxpq8YZwKB4NpF8/LJ87fz0aIvef71m6lWPSFQPtZP3rMCf+jL6RMpXNe/FSXLlbjACeJ3eeghwoXfVK6HrM99X6JG42osmP41mm4Ew2z8iyFhGMG9kUMXSaJu/QrUqluW6bM/YuW0+wrd3C0pSoEugoJBhLqEcOLIIarXqM5NPeryzjN9Ll6N5WJ5O/Jdl0+4S37kzekRWtJWDhFF/gz/PpgP8Pl02t72EWkZXn7bfRB7eOS/7SJBIefnDT/SvHUbXprQmQkjWpnfWUUGVbFye1g5PRQ7qE6wOdBkGzcNmcJ9kwbSuGnloIND96EbPnQ0dEOzkpuaFV2CGT5MrAwfyJL/VkaWlJDFhqFJDB08hYmTbqR185rgc5shLz63tXgC4S+GTwNNIzU1m7o9XqdeYgJfr99RqDKWC65eDK+bri3rsPr345TqcgsJrW7AHhmOovgdHmaYi8OpmaKHQyfKbnBi41Zsmpc2PZoRoRo4FQO7YsZ12yxrs2zFeode3fP/Nnk9GnaHzJmT57HZVKJiI1BstsCVRI8u4dZksn0yJ5IyefvhWfR+ehxZipO0HIXMTJWcbJWcHBVXjszxtd8S26Arkq6QtGYhJ76dxeaNG2jU7M9L1QkEAsF/kZQzSVSrVpnm7ary1kdjMJDQDAmf7hcvgrc+y83h1c37G1btoGH7eoH1fveG/72mWBFMiurHDFMhUNklWMHFLGO7/MNvuX5AS4rEOAM5PmxW2ItqPQ4Ne1EkCRmZjev3cfxoCovnb+TAzhPs3neIiJjYK9SzBY/x2xMF2p5U76kCba+wIhwfIdw/+WHCwx28NLnbhU6MXIlGQ5/jwtwcF3OF/H8LhESxhK4PcZL4r6qHlrr1E+oKkSRUVWHGo93YdzyZadNFtmDBv0PXdcbfcw/1qydwz9AWQdEj8J30OypCy9faefyZBXTr0ZwmTauEODyCjg+f7sWn+/DoGm7NIEeDHJ9Ejk8OWSRcmoFb0/HoPry6F68e4gTRvUiKzoxZd/HkE3M4cCjJEl/swRwjshrYP0lVQFEoUiSc1x7tybKf9vHV18uvdBcLBAB8+dXXfLPlD6oOf4AKXfoRFh0WyOdhtwertoSF+4gM05DSzvHd8zNp1qkB7Xs2I8ZmEGXTibScHabLQ0PPyiDrzFkO7djP8/fNYuKt00hPOsu7L33OpOHTeefFz7DrXj58cwXvvPQFG7/ZxtY1v/HU+PfY8v02IhQfkda2yiZE8OCMe/CeOkXyLzuICdOIiDDdJ84wH06njj1M5ciiF9H1DEq2H0BkQiK333UPuq7//50gEAgE/zEef+oZXJrOc68MRpWlgNCs5BGdzcP8oHzh82l89eFqIOjKMC8ABY/zjXxEj8Bz5L4uG1gHtO3RFFfWxcMMA6cxmIuExKwZ31OjZlluurU1U6aP4ExaNs+/+PI/75j/IiLU5ZpEOD4stm7dSqNGjWjfrCIr3h+JTZXzqdpiTSP+GlL+g7dQR0dgnZ5PYtM8s5Ifyfov1N2Rt6JLrpCafPgTN8ldL65k/rd/cOjQEYoUKfJPukcgYMGCBQwePJi1c0fSunGiJXxIoFqVXPyVW2wOy+3hZN6iDfzy60Femjo6JGwlJG+HruEzDPPKhi4FrobohpnMy49pvTQPGPxXJ8wrFTKKpKBIKopkQ5FtnDqeythRb/LJJ49TrEgEeN3gzbHcH1a1F6vSi+HTMDSNLsNmcypVZfuO31GE5VBwBfH5fFSvWZM0RzT1730SSZKQZcMsXWuznB5W5ZbIMA05/TxLH3+LoU+PolLlkkSqBuGqGbriUHR0t4vocJX7hs/AYVe4aVhr6jUsj+7TzNhzWQqpnARm2Wh/1XUz0fCpU6l8/snPDBrelgMHz1G2ajmyfDKZXpmzGT6m3DWdprd0I7pmdVKzFbIybeRkq7jdCsk7d2GLK8PpzWvxZmVx4pt5LFq0iAEDBly5ThYIBIJLzP79+6levTqPPtOPcfdcb1arwwiEoPiPcUJzdvgXt9fgkZHTeHL2hFxOD3+oi6YH83r8meNDthwf/iSnimyw4sPvKFU2jtad6wXdHqHOD+u1NtlAlmQ+mv0DB/44zTMvDjaTyiPx/JOLmf76Cg4ePERCQsIV6uGCxfjjhQJtT6ryUIG2918gNTWVTz/9lAMHDnD//fcTFxfH1q1bKVmyJKVLl/5H2xTCh0WvXj3Z8/vPPDuhM7MXbebVR3pQLbFY8AV+QeNiAoie37qQEBjdX3sqb8hLPuJGQACxXCSyZczJr6xtXiElH2ElKTmTyn3e5oEHH+LJJ5/8550kKLRomkatWjWpWBKWzhiSy+0hqYpVttYezK9hC2PDlkNMff0L5i14CGSfmddD91i3XnyGhkcDjy7hMyS0kKRcgaznhn84BLON+3/UbYEFVFlBlWwokh1FtrHzt2M89dg8Pv30ScLtiil6eHNM4SOv+KHr/LT1MC37v8X8+fMZPHjwle5uQSHmww8/ZOjQobR6eipFKprVhhTFQFbMZKZ2u4bDqRPu0NDOnqFksUjC8FG6ZBSRNoMIVSdc1ZE1NwtmfMO2Tft4d/7thDls2FTZKgntr5Lkv2/9tuRzNGBgmKFoaGRk5XDPmDm06lSHLoNak+VVyPDKJKV4+PH7HZRv15RzbsjIVsjJMUNevB4Zn1cm/UQS5/ft5MT3X1Im2snO339HloXpVCAQXBsMGzaMb779iqGj2jH6juuIjnFaNer0YClaPRj64hc9/PeTTqURXTwGzZAt8SN3yIv/Wqo/5AWCooeEeR1Kkf0Ok6D48dL4N7n3+SEUKxZ5geARKoIokozPq7Niya/07t8ERVYD1fTSU3OoX/0+hg4dyeuvv34Fe7ngMI5MKdD2pPKTCrS9q53t27fTqVMnYmJiOHz4MHv37qVixYo8+uijHD16lLlz5/6j7YqjDmDPnj189dVSJo9rx4DudXnr2b48O/17bnvkM37ZddI8FgwtLRuayNF/P5flP09ISuBx3vVyUKK9IL9HiOgR6gDJW9VFCtlOwK+We4kvEcXovvV58803yMnJuWL9LPjvsmzZMvbu3cej49oHv++KEhQ9lJBFdXDsVDpPPDOP92ZPQFJ0s3qL7g2IHl5dw6WBS5NxazIun5k3IMe6zfYqJKe6OZviyrXe5ZNxaRIua51bM2ve+3TNSphqbr92vbLccXdPRt82FU2Sg4KMajdzkPjDcWQbkqLSvFFFOrepzpQpLyO0YMGVwjAMXn75ZUo1bEzxahWxW84OR5hZOcUZ5iMsTDNFjzOnWfn8ezg1N2Xjo4i2GUSqOhE2HcOVRfKRJCpXLsb8z++mSGQ4YXYnNtlc7HIYdsV/ay1yOHYlDJsSfJ0qO1BlOzbZgSo7iYmM4t25Y0g+eQ7Jk0OElRC1RKyDdt0b8/WzM7G7sogMM6u9RER4A6EvcRVKkHhdR2oMGcue3btZuXLlle5ugUAguCScOHGC+fPnc9d93Wjesiq33TqDbZsPmznIUJAlKSBGKAHHqiU4WLeZ59P5eNoS6yKP5XIl9MJPMI+Hf8lb6yBYncUftqIz5N7exBWNtJ4zAqE3AeesZKBIErPe+p55s36g78DmpughKZY4LlMkNoqxd3bhvffe4/z581e6uwuGwMW8AloEuZgwYQLDhw/njz/+wOl0BtZ369aNdevW/ePtCuEDeOuttyhRLIabezdEkmUqlC3Kh68NZsJtbflk2Q66jnifSf9bxpqfD+EzCIoWSsitkmedLIFi5hHI/Zr8xI/8xJGQ21BB5GLvlfwiSD6uEGD8jY1JSTnPggULCrx/Bf993nzzTZrVK0/zBuWtX1wFSZEtASE0p4cDjy4x5s7pvPX2vURE2dH03GVpvYaOW8cUPLRgLo9Ml8GiOWt5cNg0Vnz+M79tPcLUh+YyafAUzpxzc+ZcTkAEcWkSbk2yhJOg+KEZXnSrTG6HTrVp2boGzz0/L7fw4S93K6tBEURWuHdkK7Zu3cbGjRuvdHcLCinr169nx44dVO55A44wHw6HZuXL8BEe5iMiXCPSqRNth11LVjP6f2MpV7qI6fSwmaLHtjW/8djt71KndjwDBzXDoTqwyf7FiV12YpODQodDDjfvy2GBxRQ/HLkFEMmOKtmxq04eeLgXv23cx7qvNxNu04m0aRRxQNdbOrHs6RmE4yXKaeb8CA/J++EI0yhZpxrFKlXljTfeuNLdLRAIBJeEmTNn4nTauHV4B9p3rMeiJQ9Qp14Fnn1ssSmAIKNIcsCxquQRIBTJoErN0hzec5yDOw8FkpOGJilVQwQPNWQxBRUzVCX4vIGheXnprrcom1gisP5Cl4cplKxY8ivHDiczelxnS6hRkAlJIo/M6DFd8Ho9vP/++1e6uwsGWS3YRZCLzZs3M3bs2AvWly5dmqSkpH+83ULf0x6Ph/nz5zFiQEMcTlNxkzBAMqhZNYGXHu6Bruvs2H2Kpd/v5sWZayldMprrW1elY4uKFIuNCIauyEYw7EWSQnJ+hOQLyVUdhqBLAy6SPFUOyQES8tpQjJDnDT14P8S3XLl8HB2bVWLu3A8YMWLEZehJwbXKiRMn+Pbbb3nnqV6B76AkS7knbEUNJBN9+pmFjBjVlQoVi+MzPKbbw/CXotVwa0HRw6PJnD2bxfwZK7jx7j5ExBXhrlfvRHE40AyJ2xvXBnQMCd5++D0kw2DIhD6UKVcUzTAtpKZ+a6YCk9DMfTNMC/+oMZ0ZP/Ztvlu9jU7t65vjwwjJHqJ5A8OkS4ealCtdlLlz59KyZcuC7maBgLlz51IkIZ4yTWuhKJoZ4iIb2FUDm2LgUCB5134O7T/ETfffRIzdIFINhrdknzvH919t5r35YwmzOVBlm5n7RlIDVx4lSUG2Qlx8Ho0jR89y7lw6AHFxUZQtVxy7ww6SP55cx5DMykuaISMZptuwU+dajLz5bcpUKEbZmon4dIl6jRKR7h2AihdVlpH81a5lA0Ux8HoNfJJM6Q7XsXL2OyQlJREfH39F+1wgEAj+DbquM3fuB/Qb1JIiMVEYGNhUCVVVueveHjzzxEIOHjjDgMHNrUxKmnm+cAESD7w4hBPHz6O73agOB+gSkmygGRKyYQSqu2BIgVMIAs4QgmIJOm889gEdejYlIkwNhLfkzvEBNlli3Xe76dCpLj16NQ0JbwkNiTTPOxISitGjVzPmzv2ACRMmFFDvXkGEC+OK4nA4SE9Pv2D9vn37KF68+D/ebqHP8bFs2TK6d+/Oryvvp26NUiHP5EkWGrhvcPTEeb5d/werfvyDtHQXnVpVon+X2pSNj8lTXPsflLTNm+sjb1JT2R/mErJfefczNJdIyL5/sOQ3Rj6+hOPHj//jpDCCwserr77KQ5Mf5NSaicTERpqla21qsFqK6ggkNN1z8CzPvPAJH8x70Epm6rYqr3jw6l6rakswXGXvnpO88djH3HhPHyo3rI5HB49mxrP6a9VL1lUNmwxnDhxHc+dQtFgk5SsUx64YOBUdh3Vrlu+UsMlmvg9VtuPONhjY9zm++uo5IuxK7vK2PrdV4tbM9/HQ818xc+E2zpw5i6oWel1YUIB4vV6KFitG+e6daDRikJnMVNVRZQOnAg4F9n3zI/vX/cKwp0cTXzQs4PSIVHW+/mgV111fiyoVi2OTVVTZdGgoclD4kAyJHb8d5PPPf+SXX/ahyBLly5WgePFoMOBcSgZHj53F5fZSrlxJrruuIdd3aURUdAQ6esC95TM8eHU3Z5LPs++PM1Sok0iWTyHDo5Dmldm0didrFq2l2+O340Ihyyvh9si4XQpej0LW+Wy+GTeSV6ZM4e67777SXS8QCAT/mI0bN9KyZUuWr3qaVq2rA1i5PQwMw0xw6vP5eHXKlzRuWolW7aqio+PTsdyquROdurwG9w99nQFjb6BOi1qB8rfmMZGV+D0knV+gIovl3nBnZZOTnok3x02V6qVMoUPRsUlgU3TsVm40Q9N49pHPiIoKY/Jj/VEV63cCOSB4SFZggGSF2i9d8jM39n+enTt3UrNmzSvQ2wWHcW5OgbYnFR1eoO1d7YwePZpz587xySefEBcXx/bt21EUhT59+tC2bVtee+21f7TdQi983HHHHaxc9il/rH8koGoGyFekyC0yuF1evvtxH58s/Y3U9BwGdatL3841CXOo+YgfIffzq+wS6vzwJ30LFToCrwkVPvTgti5wlOS+n5KWQ8kOU3nnnZmMHj36b/aUoLByXccOODzHWPrWLaAqoKpgtyMFEpk6wOYEWxi3jnydp54dQdkKRS3hwxUoO+vWdDOsRZPI8UksnvsDbXq3xCep6IoNtybh1sCjgy8kg7k/XtUmg0M2TwC/eutzNLeb2x7qT5gKDkUnTDWFD6diYJcVVNkWOPn7eskv7N+XxEMP3GSKHV5XbvHD5wbNx0+bD9Bi4NusW7eONm3aXOmuFxQiVq9eTceOHek+/QVK1iiPqpguD7sMdsPH8Z93UKVeJUqUiCLKDlE2g0hL9PhkxjLSk9N46n8DsStWWIpsNxP+yjbSU3OYO+cbli37iTq1y9O/VzOaNUpEkQgm6/arjJJZmvrwsXN8u3oHXy/fQnxCUZ54chgl4otYzi1T1PTqbk6fTeWxBxfy6OsjyfCqZHgV0jwS3y/5iRNHztDw1l5k+iDbLZOTo+JxK7jdChufe4p68UX57ttvr3TXCwQCwT/mkUceYebM6ew/9i6KEswg4Bc9/AJIRmY2jzzwEY2bVuSmoa3QDQ2foQeED48m4bUSn6ZluJn25CcMGNOFovFFURyOfCveQTDrnywZbFq5hSVzvmPMQ/2p27giqmxgtxa/48Mug9ftJSvDw5ZNB+nVp5kpeEiy5QoMdXpI/npfgEROjpsyJW/lqaee4f777y+YDr5SpH1csO3FiMT6oaSlpTFgwAC2bNlCRkYGpUqVIikpiRYtWrBs2TIiIiL+0XYLvfBRqVJFurYtw5vPDcr/BX/WPf4DRgBDJz09h4VfbWPxsu3UqR7P2JuaUalsrOX20HM7Py5GvuEuIYLIxfbPICiC5C2fC4GqNG2Gz6VU5SYsWrTo4vsgEFhkZ2dTpEgRpt7Vjjtvbgo2NVBzXAoIHk6whXM0KZNHnprHnA8fxKu78eluvIZ569F8ZPskcjQzR8fbL36BpNrpc0cvM1eHT8KlERQ+LMcH1rmYImGeACoErn5/M3spjVrXpFa9cqbgoZriR5ii41TAFiJ8KJKdnjc8ycrlL6IYvmCVF68bfC7wujG8HnS3m4Q2Uxg77m6effbZK939gkLE5MmTmf7uTPoveBO7HVP0UMAuGax6aTY1WtSmZbdmRNoMou2m6BGhaODK4sCOQ3TsWBO74rASkZrf++xMD6+98hk//bSb0cM70euGBqiSDpoPdC0Y+uX/nQiEV5rih5kAWGXbjqNMfuxDho/owo2DO+AzfPh0Nz7DjUdz8ea05Xh0iX6jrifdq5DmUTjvljiT6iLNpeOyh5Ppkc0Sty4Fj1th31dLObh4LulpabkSlwkEAsF/icaNG1G5aiSzPrg3ZK1hnR0YGFZYrl8AyXbl8OH7q+nQuRblEs2wXdP9EVLtxarm4tXgmXtmIckKzTvVp0WXhoAcuN6peX0c3nuMX9b+Tqc+zTiw6ygt2tckIsKRK6zFHhLesm/nSZ548BPe+3A8xYsXCbg8zFspxOkRLHUeOBgzDPr2ehqvJ4bvvvuu4Dr5SpC5uGDbi+xfsO39R1i/fj3bt28nMzOThg0b0qlTp3+1vULt5T59+jQHDx6izf0dQFLyf1Eeg0Uu8pSnjS6ictutbbjtltb8vO0Qz731PTluH7fd2IT2TSqYpftkI7c4kasdqzFJwsBgx77TbPrtOHsOnOHIyVS8vqDOK0lQumQMdaqVpH3TitSoXBx0S2nWdXJJwkZwwmpdvzQfffMjhmFc6HARCPKwZcsWvF4vrWsngNcXdCPJMihayEmTwWdLNjJ4cEd0w58PwIdu+NAMzQxh0c2EpFkujRJlS9Kqb5tcoofLEj08GngN0PSg40OVgrXr/d/aLiN7kHbyNOu//Y2219dD1iQUSUKVJFRZRzY0ZENDl3RkDJo3r8GWrX/QrGElcwOGJUjqGoaugaYh6wYt65Zmw4YNV6bDBYWWDRs2ULx2VVSbhCzrVvw1eJJTiE9MoNkNzQhTIcKGmdND9vHmEx9Tv0FZhgxtg02xY5OcqLIdBTuffLyG92ev4N47e/L4pJ5Iug80F+i+oPCha2Bo1hiWguNbUizhw8zh06BmSZYueoBnXv6cMaO38cabd2FzOEAHQza4864ubNj0B+Gqhs8wr1zmKDLHtv/Bgd3HqDWoG7JknQboErouEVOpNl6Ph19++YVWrVpd2c4XCASCf0BWVha//vobw0aOQQ45jzAwrGMVv+dDtsQPmYiwCLp0bczkSR8wcHALevZriCzpyFaVFUWXUHQJn5W09Jk3R3H0cDJbN+3DoRg8ftsbeD1emrSvTZ0mVdi4YguNW9egTNlYEhOLWklL9aDgoZiJUXWfhtulM2Pad7wz505KFI8LJi+1qrfkDm3xYwkf5hO0bF2Tl174DE3TUJSLnDtdCyhX9yny9OnTefnll0lKSqJevXq88cYbNG3a9KKvX7RoEY899hiHDx+mSpUqvPjii3Tr1i3wvGEYPPHEE7z77rukpqbSqlUr3n77bapUqVIQH+eitG7dmtatW1+y7V3df9XLhNvtZs2aNezfvx+AZo0qmle4QpFC7gQmgDwVUy7IpWGpDbpO00aVaNowkROnUnhv/ib+N2MNzeqX44Z21WhcqxR2m3KB88Pj1fhl1wmWr93Hpm1HqVezFK2aVKBDq6oklovDZgtOMLquc/xkGr/uOsnbH//EoWMpPH9/V+pUKel/BRf44QyDpnVL89KcDXz55ZcUK1aMli1bmoKMQBBCeno6a9euZdOmTYQ57dQuEx0ifEigyBi6huS/aozBzz/vY/joHmbNenzoaGiGhlc38OhmItONa/dwcP9prhvciZw8ooff7eGx4l79OT5kCTTpwq+zBESViGPmo+9TtU4FSpeKxmZdLVF1CVUy0A0d3dAwJI3adcuza9cRU/gIOKKskz9NA58PfD6a1yzJ83N/Zvny5SQkJFC/fv2C/wMICg3btm0jKSmJzVu2UGdIH1TFFD1UCTyp6aQdOUmn4d0IUyFcNQhXzESm3yxYS53aCQwd1iZQfcUmOzh9Kp0J97xMw/qJLPt0MnbFAE+2lcfGa37XdR9oluCnhzg+LFFTki3Hhz9xsaxiU+08/WBfVq7ZRf9+T/LB3AcpUjQcMA/tWzSvxPDBb/PEm6NxKOHYZahcrxI/fraOuqHRmYCuSYSVSkS12Vm5ciUpKSm0b9+eqKioAu9/gUAg+Lt4vV7Wrl3LsWPH0DSNpk2rWf6IoEfCjyGZF4eC/3QqVSrNgsUPkpycyoK5G4krGkHnbnXQMSut2GQDry6h6RI+2aBSxaIkJrZEMwxefn+cuV2rnXr1ywbyfCiyHiiXa7NyeeheHx/P3cDXX27jw0/u451Z40MED7Nii79srZ/8Lowa1jlOs2bVyczMZNGiRcTHx9OmTZtrUwC5ipObLly4kAkTJjBjxgyaNWvGa6+9RpcuXdi7dy8lSpS44PUbNmxg8ODBvPDCC/To0YP58+fTp08ftm7dSu3atQF46aWXmDZtGh988AGJiYk89thjdOnShV27dl0RV+a0adPyXS9JEk6nk8qVK9O2bdu//d0rdKEuhmHQuXNnVq1ahaIo2O0KmYfeCMSyBbjgsVVdJZdAEpqrwx/OQoh9WA/YiXWfl5+3HeGbdXvYuuM4Pk1HUWRsqozHq2EYoCgyDWqV4vo21WjWsDyyopBbeLngwwT2Iel0Krc/sph+XWoxpHcDy/VhVZghmGx13+Fz1Og9PbCJiRMnMmXKlH/dr4Jrh+zsbOrXrx+one20wYZX+1ItsZgZ5uJ0BBbJ4QRHBDgi6XXzq3y59AU8WjYePQev7sKtucnRDLJ9MmfOe5g09E0efW8ChsNphr74gqKH2+/2sEJd/AYnf6Zym5Xfw6GYuT6cKoQrkLT3EMlHTtGlb1PCrXCXcFUnXDVwKCqqZMcmO1m/Zi97dp7g3vE9wZ1lLp4s8ORguN3gcoPHy1ff76HPg58H+mPmzJncdtttV+ivIbiWmTFjBuPGjQs87vri/VRsWc8McZFh5bPv0O7m66leL5Fom0GUzSDGrrFrw3Y6tK9MXIQzRPRwsvq735jy0ie89uJwalUpcWECX82HoVuhLj7zN+J8ahapaTnExYQREx1uWaz8ZdgVJCWkZLVqB5uTHXtPM+GhD5n38cMUKRZhjnctm08//ZE/Dp6jz5hunHOpnMmR2bh2B0Ub1CHVJZGVZSM7UyUnR8XtUvnlyTF4U5NxuVxUq1aNbdu2ERYWdgX/IgKBQPD/M2DAABYvDoZCpGZ+htNpzyUehBIMfNExrGN33dDQ0UnPyOLtN77mdFIKT/7vRjRdw+ZQ0AwDTTfQrLAXzZD+QlUXU/RQZUDT2bHtKNFREfz+23EG3tgau82eR/QIuj0C5xpG4L+QfTcCn+HMmfOUSbg58PyoUaN47733Lkm/XlXoqwq0Obe3NW63O9c6h8OBw+G44LXNmjWjSZMmvPnmm4B5Mbxs2bLcddddTJ48+YLX33jjjWRlZbF06dLAuubNm1O/fn1mzJiBYRiUKlWKiRMnMmnSJMDMsVGyZEnmzJnDTTfddCk/6l8iMTGRs2fPkp2dTWxsLADnz58nPDycyMhIzpw5Q8WKFVm9ejVly5b9y9stdI6Pr776ilWrVvHxxx9z2223IeEzbb355dIIiByheTcu5o4IzavhFz10kM0ryrKk0LxJZZo3rhR4ra5p+HwaNpuZTCg01MUUWkIe59tksL34+FgWvzOcR15axqT/LeN/k7qgyv4yn5J1KxNf3LyiVqNGDW6++WaeeOIJ7rzzThITE/995wquCd58802OHj3KkiVL6NOnD6WKRDD+jbV88XQPImIU8GnmomnB73ke/dTAcltg4LPiVjMzvYx8aBCK00lOiLsjsORJbOqzvt6KWZ0WSTd/2P2SpKKBV4KyNRIJD7dz+tR5ypYpYmU/l9AMA90wMCR/cjHDdDflGaeGZn0WzfxcUQ5TPe7VqxexsbHcf//9DB06NN8fH4Hgn+JyuXjwwQcZMWIESUlJLF++HGekE1U2RQ/P+fPElYyjUu1EnFZuG6eqk3I8icXvf0/vG2pikx3Y5TBssoN3pn/NL1v2smTBJMJUwxT2rAS+hs9rOZo0Tpw8z6qNB1iz+TBJyZkUiwkjNspBcloO5zPcFI8Np02jcnRuUZny5YpiqIopgNhsplPE0KlTpTivvDCEYUNfZPHnT2GzOzBkjV59m/D18t9CyiUaZKekU1TTkfIJJ3W73GheL0uWLGHAgAG89dZbTJw48Qr8NQQCgeCvsW7dOhYvXsysWbN44IEHyMhIx+lwBsqEB8l77G6JB5J1PCIp6IZObLTC5IcHoek+9u8/wYMTPqBipZLcN7k7ccUi0QwdXTasY5oL3a9AnnK2Euu/380bU1cw6OY2DBlWl/p1quUWPCzRIz0tm80/7+Hw4dN4fT6KFytC9eplqVGjPKpNDYTsGBhIhrn/RYpEIcsypUuXZtKkSdxzzz3cdddd1KtX77L1+RWhgN3wL7zwAk899VSudU888QRPPvlkrnUeK0T0oYceCqyTZZlOnTqxcePGfLe9cePGC0oQd+nShS+++AKAQ4cOkZSUlCt/RkxMDM2aNWPjxo1XRPh4/vnnmTlzJu+99x6VKpkh6vv372fs2LGMGTOGVq1acdNNN3Hffffx6aef/uXtFjrhIykpCUmSuPHGG5k2bRru7FPm1axQccEvbvhvZTPJT24xAgKTWkip29yiR27XRzCZnHniJSs69rxOKsnfVh4hxN9mLodJSHuGjiLJ/O/hnnz8+S/0Hz+Pmc/1pWRcZMj+6YRH2ImKdNK5c2d69OjBY489xrlz54TwIQhw+vRpEhMT6dmzJyVLlqRxJSe3dKjC1EVbeXxEi6BIoOmBMJfQqwN+TPHDQDdk3F6DlZ9toseoG8j2mSVrvVowrCV00YzgYvh/5HVr+Fnih6KDVw6+53xyOpuW7WT0pN6B95o5QYzA1Yr09Gwio8IuFCf9t7oBmkZUmDkt9unTh7CwMD744AO8Xq8QPgSXFJfLRXp6Ot26dSMlJYXly5dTokK8KXqkpJJ9Opmedw/EqUKYlbw3XDFY9PE6nnh+IA7Fjio7UGUH/3t2Ia5sF7PfHIPkzQG3C7wuDK8HvB5OnTzPB59tZe2Ww5QqGknHRmV5bmRzEuLCcyfPkSTOpOawdvsJnpuxhmNnMujTsTrD+zXEEeEEu4Zk/YbVqVqce8bdwKQJM3hj+ng0yY5dsRPmUDh99AzO+ARsMpzYdZAiVSuixCcgy0bgZ1SWDaIqVEU9fYiePXtSrlw5zpw5c6X/LAKBQPCnnD59GoD+/fvz6aef8scf21Fl2wXhITlZLtLTs/F4vCiKQlRUGJFRYUiShCEBGBiSjm7oGJKOImlUr5rI50sf4/cdh4mKiOaxSR9TrGQUN/RoQNWaCRj+Czoh7fgvBu3dfYplX2ylcpUEmjStyidfPEREWBiypKJICrJV1jwjPZvFn67mqyUbsNsVmjetTuVKpVBtCmfPpvHRR9+ye/dRFEWmdZu6DBzQjnLlS2JIBhIGdpudkiWL0KZNG3r37s0999xzTc7dmuEr0PYeeuihC8SJ/I47k5OT0TSNkiVL5lpfsmRJ9uzZk++2k5KS8n19UlJS4Hn/uou9pqB59NFHWbx4cUD0AKhcuTJTpkyhf//+HDx4kJdeeon+/f9eUthCJ3w4nU4Mw8Dr9SLLMrVrlEFSbLlflCusRcojfOTnxAjJ8ZHvSZVf8AiJpw6cMOblIqIHBBKUBtoMbcPQzbNCHQb3bUzt6gncOuET7ri1OX061URSTFeLKsuULxWLYRi4XK5AnwgEfpxOZ+C74fV6qVs+ge6Ny/LG0l14PT5sNpv5vdM0DN28CuAP8zJ0PZeI6K85v3fHUdJTs9AMCZ8/lMUSJ/yP/WJFqHAB5ndew8wLrFlJTzUr2al/O5UbVuXLGV+Zpd4MCcOygRqGP8GYxLlz6ZQpFc8F7iw9GAqGYfDDrydQFZns7OzAgYwYI4JLjf875XK5yMnJweZ0EFcsBvf5NL56agb9Jg/BqUCYAmGqQbhicPboKe57qAfFoswkpjbJwcy3l+H1eHju0QFW6Fa2KXq43Zw8lsxTb35PanoOo7rX5v6+dVAwgkJftiu3W0uSKOGUGdi8PANbJeLWDBau3U/3sR9y39AWdO9UK8ReLdG1fQ2Wf/sr69bsoGX76si6DY/Ly6ZV2+k8JB6HAhXrVuLs3kOUSkgw85eoOqpNR9ckosslknHij0A/iHEmEAiudkLnbn9+gckPvktmZg5nz6SSk+NGkiTCw+1ER0fgcNjw+TQyM3JIT8+2XBORNG1anU7XNaRajbIgqRiSGf5ioFO/blV0Q+PFqaPYsH4XRw+mgC7z7BOLKF4ymnF3d2HPrhOs/X4nGekuZn4wjiWfbOG66+vTqnVNVMVmuTpUU/BA5od1O5g9azkZ6dn069uSee/fR0S4PRg2n8txLpPj8rBm3e889ugssnM8DBrUgU6dGhAbF03lymWQZfmaPo/QdG+BtnexsJbCyqlTp/D5LhSffD5fQIwpVaoUGRkZf2u7hVL4AHPCcrlcOMOK5MncmyesJRDeYlWy+LMQlMAJoJFH6NByCxQhro8LxI+A0BEqgOSDfzuynrsNJJA06tQsy9L3R/Pi26t4/9NfGDWoMTe0rYpdVfh93ynOpC6kX79+ufpEIIDcwofL5cJpU5GABhWLsufoeepUcwTLMuvB73NUlJOMjCzComxW5XcJyarkcOp4MjUbVcr1dTcIXmw2/LeEDI08NtEQye+C9yIr3Pfa7UE9A1N0MTHNp+dTMqlbO2/yxFARxHzjL3+cwafprFq1iuuvvx5ZllHVQjdVCi4z/gMc/2+R3WHHdeo0p/cepu/9t5BYpTThKkSoBmGKgaK5efGBuXyw8A5UyY4qOdi98wRrvv+VRXPvtXLW5Jg5a1xu3l/4E4tW/M5zt7WiQWKcmZzY7TEFSy1E8Mt77dBKXiwpMg5FZmj7ygxsW5kHZv7Itt2nePSuTuYhsmQmP33igX4Mu2MGbdo/hSKrtG1bk6++mEd3q6JAixuacc4jcd4LOTYDm11H8+kYukT2yUMknz0T6AfxWyQQCK528p5HVEwsyYghHYmKCqdYsWicdut4wX+B05/7z48E585lsvHnfcyY8SV79hyneo3y9O7Vgjbt6qKq9oAIotrtdOzQyEwab+gs+uJhzpxOJTLKSYliRWnVqjYlShTBptp4+rnhSEi5wll8Hp35C1Yzf953NG1SleefvJUypWKCx25eF8HfgNzCR5hd4YbO9bnh+oacSU7niyWbGD/+ddLSsvnhh+388MP2QD6Ia3Hu1tGu9C7kS7FixVAUJeA88nP69Gni4+PzfU98fPyfvt5/e/r0aRISEnK95kol+O/QoQNjx47lvffeo0GDBoCZDH7cuHF07NgRgB07dvztiIVCdzRvs5nuDo/Hg6ZpyFbG+gChYkfIBOBfTp9JZdOmXezZe5SkpPNkZuYQFuYgPj6WSpVKU6dOBapWKY2q2kNOpjRyh7n8mesjbxWZ/ISPPCedVh4RJM0UZ3QZJA1nRDhPTOjG2eR05n3+CwPGz8emmuE7Z86cwes11UxxUicIxWaz4fF4AMxyZRJgGNRNLMr2A2epU7Vk8CpxSFnm6OgI0tOzCYuKsbZkui1k4LoejUnJ1PBJIXGoIYtsZSS33Pam5GFtN6BDWtsK3M/1XoPFM75m1KTeRESp1nb816ZNW6iu6/lUMLpwfJ3PMJNLbd68mQ4dOojxIbhsqKqK1+tF0zR8Xi/ZSWdp3q0ZdtnM6RFhMwizEvYumbWKIaPaEhcThSo7QFd48P53mfP2nUheF/jM8Bbd5WLSs18R5VBZ+kJvZJ8PXG4Mrw+8Zoia4U+k41cJ/ViB4pIiY6gyqAqSphNmU3ljfFuembeF12f/wD2j21oJT1XioiOpWKEEv/5ygNoNy1KkSDQvTx/CmSw3DkUh0inz3sPv0Oaum3FEROO16Wh2Dd2ArKRjgaa9Xq8YawKB4Kon73lE8eKR1KgScsKpeXK7v8G6MAn+CbdolEKPTrXo0bkOBhK7953iy683M2XKJ8QnxNG9WzOu69SQ6CKRIXnKdAx0yiQ4MYCYyCKBJiVJCpSjlSWZE8eTmTN7JT/8sJ1BA9ryxcLJhDkUM0+T1xVyThIqyFhHWZJ1oVdWMEuby5SIi2DMyM6MGdUFJAnZbpZBvZbPIwra8cFfLE5it9tp1KgRq1atok+fPoB5fLtq1SrGjx+f73tatGjBqlWruPfeewPrvv32W1q0aAGYiUTj4+NZtWpVQOhIT0/np59+ypWAvSCZNWsWQ4YMoVGjRoEx5/P5uO6665g1axYAkZGRTJ069W9t99r7pv4/pKamAmbSFqfTidurhTg+5JCwlqDosWv3URYsXM1PP+8mISGOZs1q0LxFDUomxBEZ6SA720PSqXPs33+S92YtY9/e4yiKQr36lWjZoibNmtUgNiYi6PDIlZsjzw5KeR7kqi6Tx6IfmkNEshZDA8mXS6wpXiKWe8d05N7bOpCT46Zxj9fo0LkfRYoUAczMvQKBn9TU1EAGZafTicurYWgGdcsX4aO1By/6PptNwesN2tIkSUKWJBTJIOXMeV596jPue2UsqiwFEjhqcu7QlkA+D4IJvKRQkcQq86nKudcpksGhXYcJD7ehSGY5N7+I4s/xUbRYNGfOnAcqhqgpucVFj1dDlSXCHDbuv/9+ihQpgsfjIScnR1SbEFxSsrKy8Pl8FClShJycHGRZpl7r2oHKRU7FIELVibDppJ06zbDRbSka5cAmm8uU/33GkMHtSSgWBu5M8Lgw3C4eeH4plUvFMK57LdPh4fFieEzRw/Bq4AsKH0aobUqSkKxBZcgSkioj2XQMu26GswGP3tKYm59bSfsdx6jXINEME1W93DuuK48/v5jZH05CleysXfk7+w+fo8vQLoSrEu0HtWfDnC9ofc9QNIcW0E3LtWnDqW9WAFCkSJHA77NAIBBcrfjnqdjYWPMYKeecWTUrcEEoT7g7/gqLeY75rfMMSZapWSmOmvfcwEP39eDYifN8/c02xoyeQnaOl3r1KtKsWXXq1a9M2bLF8026aRgG+/cdZ9WqbXzzzRaio8IYPuQ6HnugD5JulTD3uC3BI48LPc/+mMKHElx0q7S5EXS9d2hXl/hSta7p84ir1fEBMGHCBIYNG0bjxo1p2rQpr732GllZWYwYMQKAoUOHUrp0aV544QUA7rnnHtq1a8fUqVPp3r07CxYsYMuWLcycORMwj9fvvfdenn32WapUqRIoZ1uqVKmAuFLQxMfH8+2337Jnzx727dsHQLVq1ahWrVrgNR06dPjb2y10wsfZs2eJiYnBZrMRFRVFeno2yLagwGAJH0ePneHTxT/wzbdbqFypFDcObs+jT9wcOJEyrAnMf1JVtkIsTVpUBtoiIeH1aGz/7RCbNu5lzgcrSU/LpmTJWBo1rkqjhlWoVbM80VHh1l7lvepsZnz2eH3ouoHDoQavVPstc6G5Q/yTlO6z3B5ybvEjJMQmLFzG7dGIjIykWLFigT4RCPycPXs28N2IiooiLdO8elEsysG5DFfwhaE/4IaB3abicfswQ0tkJBQUScYm65QuFYPm9XH22GmKlI5Hk0FXpDyJSE0kQLJyeUBQ+FBDRA9VMsvbmouBKz2DFp0amK8LcZX4Q24AypYrxqH9p3OHq+UJKdtxMJnaFeL4auOhXGMkOTn5b5XLEgj+P5KTkwHTtpqZmYkrKwenpBGuyoSpBg5L+Eg5eooXH5zLBwvvxK6YyUz37DzJjl8P8sjd3cy8Hl43htfN3EWbscsS43rUNsszuz0YHh+G2wceDcNjiR4+3Qx3CSbTAUnCUCzxQ5VBlTF8BpI1OE0hUWLKHW0Z//oaPp9RNlAmN7FsHJpP4/SpVOJKhtG1WwP695hC7+HXEa7KNGhejRyXj0jVLM1oWAeUhieLiIiIQD/4+0QgEAiuVs6ePYskScTGxhIVFUVy0lFL+LCEDcOXW1jQtXxc3lLu846Qi5Vlizu5fUhrbh/WDp8O23ce4+etB1m+/CdOnDhHvmHAhkFiYjwd29Vh3qx7iAhTzXY9Oea5geYLVOXC0ElPz+LX34/zx6EzZGa6KB0fQ6smlUhIiLXOKVTL9aGa5xeGbgkg5j6mp2dTueq1fR5R0MlN/w433ngjZ8+e5fHHHycpKYn69euzYsWKQHLSo0eP5nI4t2zZkvnz5/Poo4/y8MMPU6VKFb744gtq164deM0DDzxAVlYWY8aMITU1ldatW7NixYorHsZUvXp1qlevfsm2V+iEj+TkZIoXLw6YatKhg9tAsWEAu3cf5cslP7J23XZKJRSlb79W3H7nE9hsiiV2aFY2ZbMOt4E5iRlGsL61H8kmUb9xeRo0TuQO6QYkZM6cTmPrlv2s/GYzr72+mKxMVyB5Ymg2aMMwkCQJh8OGLEvk5HjQNJ2o6HCuu64h/fq0omjRGCusRQ9OSpoleMiKeV/WLTEkaGkz0Eg6m05CQkKgH8TBpiCUvGPkTFoKYFkpQ39vA2Eu5ncrvmQMp04mU7l6KWRJQZFUdMmHTdaxywb3Pd6PHF3Coejohmw6PBQpl+jhv2Ai6ebX28AKZbHOxWyWU8SuWLfWsnf3UQaM6oRN1lGsMpqK5N9nBQmZ6KgIMjKO5v6woSWsJYksV9DamHeMCOFDcCnxHygWL14cl8tl/o5kphNVMganquNUdMIVjSmvfMm0d0cQGxOFTXaiYOOhB2cxa/odSJonULL2yOEzLFy2nSXP9waPN+D0MFzW4tHAq2N4NZJTXXy5/QRrDiaT4TIP7iLsCt2ql6Rf/TKEhdnApgRz+YB5nC7LlI4No0zxSH7ffZLa9SogWQfVQ29ux7wPv+feB/oQZg/nwcd7o2pewlUVj02iSdvazHzsfer370Rk+bLIaHgzzwfiiYsXL35NHjwLBIJri+TkZIoWLYqiKMTHx7Nz+0ZzHvaHsetm+HlGRjbfrNnFt+t2c/xkaq7DDd0Sk0uVjKF2tQTq1ixNnRqliYuLCoaaSDKqrNCwRgka1ioFUtuQMPw8ofChbnBDA4/H2g/zHOB8Sjrfr9/D9z/u49CRc8REOalXM4GqicUpWyKSY6fSmPzcF6RmuLhzeBs6t6tlFkWQddMVr2uW68N0gSSdTiUhIYGYmBgURbkmzyMKPNTlbzJ+/PiLhrasWbPmgnUDBw5k4MCBF92eJEk8/fTTPP3005dqF/81x48fZ8mSJRw9ejQQgu/nlVde+UfbLJTCh1+hLFeuHMuXf8X4u99k3x/HqVG9LD17teC+Sf1RFCng7NAMnyV2mPF1RkDsCBVAgu4PkJCs5IwSshV7JxFXPIzO3epyfbf6gXi8UOVWCvk/FxJIyKSnZfPNyq2Mvf1VHE47Y27rQds2dax8CJo5IeqWGOJ3evgFECvPyNnkLLKz3ZQtW5aIiAgcDsc1OWEJ/jnJyclUrVoVgLJly3J43wkANN1A9v/Q+k+GdH8pWI0mDRL54cffadexoSV62NAlDVXWcSgaiYlF+XH9fr77cjN9xnQPCB66ESL6WbeSZFZxMYwQ4UMKCh8Ov/ihGOzZtJNf1/xK+47VsCs6DiupoirLKJKKjIIkyZw7l2EKhv6DE/Tg57AaLVU8kn0n0gKfPTIyMtAnAsGlJNTx4Re+M06dpkqZSJyqzqZvtuK0wVuzR+FQ7NjlMGyyg3ffXkHvHs0oVTzcDHHxeTC8Hu7/33Jeubs9iqZdKHq4fBhujcNJGby4ai/nstz0r57Aax1rUMSugAFpHh9f7D9Dv9kbubFeGYY2r4BsWIcIsukEMVQNyacxrGtNPlryK/+rXTZwJbFz+1q8Ov1rJj4wAEW207JldZ549BOGTexDhM2Bz4CbJgzgzfum0/X+oUSXKYXn7FkSK9cO9MORI0euyN9CIBAI/iqh5xFly5bl8LGz6B4XsgSaz8eK739n3uKfycnx0KVdNR68rQ3lE2LMY/VArg/z8OPEmXR+/+MMP23ez3vzfiQlLQe7TaFOjVI0b1iBFo0qEhsXZeXbCHGryrnPHy4IhTd0kpLOs3jpVlau2UWYQ6Vjq8rcN7wlFcvEBt/pf48kMbJfA85nuHj1/R9564P1PD+5JzWrlbZC660LrIaCK1vjVFIKZcuWRZKka9atdzWHuhQGVq1aRa9evahYsSJ79uyhdu3aHD58GMMwaNiw4T/ebqETPs6ePUvRokUB0z6TnJzK8JHXU69+RfxBLKbYkVvY8AsfumVVy/2cKYT4pY+A+IFkHtAa/vsykuEXQ+QQE75fBsZ6XyiS+R5JIjLaTv+BLRgwqBUnjqfw7sxlPP/8PEaM7MrA/m1RVDtoipXsNI8Aousg+dhzKDnw2SVJomjRouIqmyAXZ8+eDSQ8ql69Ou+v/RYAu03B49Nz/7jqRuCqQusmlXj6xc+4994BOKMc6OjoaKjWGNHRad6yEl/OX89va3+lbrv6GEiWi0oKXFyWAK8/9yLmYyVE9LBZoodDBptk8O3H3zN56nBsluBhU3RssoQiqSiSDUU2b1cs+4X77u5nXQEJtaIGxY8K8UX440QqsixTpUqVgMIsxojgUuP/ThUtWpS4uDgkSeLswRNEtarAW89+iuHz8ugzA3AoDuyyE5vs5PiR86xcvpklC+8Hb07A7bF81U4ql46hWkIM5LgwPF5wB0UPLcvLa6v3sfHQOR5rXYWaRcLNcBcdtBzzQDxKkhlaJZ6bq8fz5q/HGDFvMzNubEgYDiRZwlBlJJsGPh+NKhfjkXd/xPD6kOw+0LwoNoPECiU4eOAUZSvGocp2qlWPZ9G73zBoXDd0A8qUjGDC9HvI0mQ2LltL6pGT1Og5MNAPW7ZsuWJ/D4FAIPgr5D2PyMpysWvXEZav3sXK1bvp0rYqrzzcjZJxEeZxhiVGm8ccBBO3A2WKOCnTtDxdm1WwrvhIeHw6v+07zU+/HeejT38mNcNFTFQY1SqVoGL5opSOL0KJYtHExIShKgpen0Z6eg5nUzI5dvI8O/eeYufeU8TGhNG3S20WvHYTYfYQB5/Xl/uijyV8IEnEhtt4+u7rOHY6nYdeXkGZUrE8MaEb4ZHhgXOJP/44ha7r1KhRAzBF62vxGEnTr95Ql8LAQw89xKRJk3jqqaeIiopi8eLFlChRgltuuYWuXbv+4+0WOuGjfPnyfP755/h8PurWrQtAaloGOr4LXBy57hvmaZzp+jCCt9ZrAqJJrogXyapAYQoXUj4CSC6xw/DLICEuEEvdlQw54BKRDJmE0jE88fQt5GR5eX/2N1zf9UHGju3JgH5tkBXlQgFE1kGX2fzrMex2O1WqVOHYsWMkJSVRrly5Aul7wX+DcuXKsXnzZgDq1q3LyeR0ks5nU7JYJGfTcoIuD5/5g254vUiKB0Wx8eikPtwx7lXe/+BBbEpoPXIDw/Bg2AyenHoLfxw4h+xz41QcZtgLwVQDWFVbtJCxpEim8z40zMWhGJzYe5jH37qdcDs4FB2HYuCQJVRZQZVtqJINVbKz5af95GS7zczrniwzHteyo5qfx1RZVFUmJcNF5cqVcDgc/Pjjj4E+EQguJeXLlwfM6kFt27alYsVEVn7yAzWrxnH3hOspUSwGm2xHle3YZCdel8Gdt0/jnTfGImvegOjhyTav0C1+tpd5cO31BUUPt4Yr081t836hZZlYPu5VD7wGuksPhHubFwrN0tNWhVrurV+O706kMGL+Fj4a0tSsBubVkLwy+DQkTaN6uTj27j9N9TrlkCxHYe/uTVj61U+Mv7cXimTj5lvb8tb0lUSoWsDZJcU6yPBK6JmZpJ9LDfwOb968WYwzgUBw1VOuXDmWLFlCdnZ2YP4acd9HPHZXJ+57fziKJIHPZ87HmllJK3CcQUheJQicAwRL2knYJYkmlYrRpEpxxg9sBLJEerabvUdSOHwyje07jnDmXBbpWW58Ph2bTSYqwkHxuAjKxMdwa/fa1Ly7g7kf/gtVbk+w3dDCCnnCfZHN95QtEcVHU2/k67X76DlsBg/ddT2d2tYEWWfL1v0A1K5dm5SUFPbv38/w4cMvf8cXMB7d+P9fJLhs7N69m48//hgwqwbl5OQQGRnJ008/Te/evf9xtZlCJ3yMHDmS6dOnBzoTYO7cb2jZplo+YkdQANENPY/YYV3FNsxKEPv2nKRM+eKsW7WLA/uSiC0ayeDhbfjtl8PUqFmKiEhHSBlOKZcYYhJ0fwTzfQTdHn7Bw3/fsB47wxXuuKs7I0ddz4y3v6brDZO5fVwv+vRqaQoguhpMaKQrzF3wA7qus2XLFj7//HPCwsIYNGhQgf4NBFc3o0aN4uabb+bnn38OCCCLNx5hfM9a2GSZ82k5xBZVrR92MxbVkN1IkkSH5okcOHya+yfNYMord6BKZj16QzIwZAMDLzERKpUrF+eOwa/z6Nt34giPDOT7CAaLBR0fYAof9pAwF4disOOH3/ht7a80bHAzTsXMieBQDGyKiirZUSQ7quzg118O88xT81g07wFT9PDkmOXcfG4Mnw98mnlwopvujzPnc3C6TrN7927eeOMNqlWrRqtWra7QX0NwrdKmTRsqVarEtGnTKFasGGfOnCXptJe2baoSZnegWKKdKtuRDZXbRr7Eg5MGUKF0bEhCUw/TP1jPrV1rEmWTINuL4fZiuH3oLh/eLA/DP9zMkNql6VKuKLpbQ7dCvzWfhKFJwRQesoQcqPRi0KlUHCkuH8+t3M0TPWsjqTKGTTcFEJ9GnzYVWbzydx6pUdoKd/HSsU1N3nr3G+6+ry+KpKLKdsbe0Ykp//uKLgNbElmiuJmsWJaJtJu/c1u2bCEhIYENGzawcOHCK/gXEQgEgv+fESNG8NxzzzFr1iwr3AMSikfRs12VoNChaabQ4H9sGEHHRSA/Wgj5CCChYkS0IgfEkHxzfPjxb9frzd1erpP4kIMr2R86Y23PCCmkoBh0b1eVdk0r8Nir3/Hxl78w5dG+vL/gR2RZZvPmzWzatAlN0xgyZMgl7OGrA5+eT/8KCoyIiIiA6zohIYEDBw5Qq1Yt4N+Fnxc64aNhw4a0a9eOoUOHAlC6dGkOHzqNZnjzCV8J3upoucSOHJeXo0fOkZKSxVtTllO5eimGjetEmYrxFClRBFVVyXAZfP/tTma8/g1dezWkTLmiHNx3iroNy1O9RilUVQ6IIYG5DikwIQXCYQzLJYJsZQ1RMJCRkTEwkAwJR5jCvRP7cNuYG3h35nI6d3mAW2/tzC03X4fdZgddRzO8HDtxjvj4+MCJ3H333UdUVNSV+WMIrkr69u1L+fLladasGQCxsUXYdew8hm5wZ7caPPDOj7wz8TpyFVTTdQxNQ9J1Rt/YjOff/JapLy1k0gM3Ysj2oKiIga74iAqTuXNyL958ZC73T7s94PowDCkQ7pJX+LCF5PVQDI0VH37H0+/cjlMxAotdlk2Xh1Xy8+eN+3nhuY9Z+OEkou065GSaIQIeN4bPa10h95oijs/HiaQ0PF6N2LgwatasCcCMGTNyJR8WCC4Fsixz3333MX78eBYvXkx8fDxJSUlkp3qJjo+xxDszTOvOO96kT6/mdGxd3RQ9fB7weTh1IoVvf9zPVy/0Bpcbw2OKHobLFD7uXbSN/tXi6VImDt2loXtB80poPgldk3JVM5RkM2+dedxsgKRzY5WSDF++g93H06iZGAc2GcmhgU+jba0E/jdvC48EDvJ9OBwSEeF2Us9nEhljQ5YUVFml74AmPHDX+7w463aioqJQJIPTB48TFxfHCy+8wAsvvEBiYiK9e/e+kn8SgUAg+H+pVKkSffr04e677wbMPB/HTqZZrgo9t/Chh4ge/vweAZepYT00TMedJOcvgMhyLhEkt0vjIjvpD6kJLPm8RiJYGleWQZGDmVfRrXY0Ip02Xn20Oxu2HWXAmPfYt/8sZcqUoXPnzgAMHz48UE3kWsKtieO+K0nz5s1Zv349NWrUoFu3bkycOJEdO3bw2Wef0bx583+8Xckw8sqO1z4ej4fvv/+e9PR0zp49y7333sMfx98mukh4nlCW4H3NMEhNzcERZueNl5exbfNBBg5tQ5dejdAMMz+BadeXcs0xQUEDziensXXDPnb9doTbJ9zAa89+QfKZNFq1q06vgU3Z9vMB4kvHUiGxOOHh9sB7ZQnkQF4QGVky7/uTNgbWISNLCrKk4Hb5mP/RahYtWsf1nRszZkx3ft9xiLbt7mP16tUB5axp06a5Sh4JBACZmZmsWLGCmJgYli5dyufz3+fAG32QbQqzV+9nyeajjL6hJp2blMcZ4QS7zVzCwpAiIzHCohn30AI6dGzEwMHX4TM8eHQXXt2FV3Pj1n1k+ySOHM/AsIchhUWQ45PJ0cwfG4917KCTO8eHQwGHrJN86BhVqsUT5YAIVSfCpuNUZCs0wIlNdvDjmj289upnLPhgApE2DbLTMHIyweUyBQ+/28M6UHHnuOn/2FJWbD7K7t27WbduHS1btgwozALBpcYwDH7//Xc2bdpE69atqVmzJm+/ewdDh3c289NINp556iNiYyK4Z1xX06nkyQZPNoYrkzEPfMK4XnVoUDYGsl0Y2W70LC9Gpoe3v9tHaoab+xtXMEUPD/i8EprXFD10TTKPw62rWpJsIKsGimKg2AwUu4HilDjicvPU+v18OKIZcoQdKcqGFOlEighj3PQfuH9MOypVLwNhUeCI4tV3v6dWvcq061jbHO+6C6/hZvv2o0TERuOMicJjyPRq8CC3Dh5G165dycjIoGvXroHStgKBQHA14/P5WLduHSdPnkSSJG699VaOLLuLMsUjg04Pwy98EBAgDE1n+mfbWLH5CLKlWsiyhJFLBJEIcyhUTIihRrlY6lcuTvXycdjt6oVuEAiKJaHkEjzyCB/5iSqKDKoCqr+MrfWc/7712q27TtCk1xssWbKEc+fOUbFiRVq1aoWiKJe1v68Ev56bXaDt1S86skDbu9o5ePAgmZmZ1K1bl6ysLCZOnMiGDRuoUqUKr7zySiBc+O9SKIWPUE6ePEmZMmV49a2R3DK8zQU5PXQDDh08y4tPfoHXp/PYy4NR7SpRMZY935CsyhQEBRAj9wRkzjGGFeYCsmSY8wjgznGRfj6LsAgHyxf/TNKJFDp0qcPRg2f4dfMBru9Rn47X10ZVJLM8JxKyVZ7TL4D4BQ//OllSAqKIocOypZuZPWsFR4+eISXFzZEjR6/JSUpweVi3bh3t2rVj9SOdaV29JEiQlObik01H+H7nKSLCbAxqV5mebSqjRoZBVCRSdDQ+ZyRDxn/A4Js70aNPK7x48WouvIYpfrg0jRyfzOS75tKuZ3NqtKyNyyfh0iQ8uoRPz53cVLVCXNZ+8j2Z51IZO6knkTaNCFXHqcrYLZeHTXby1eebWfjxaj589y7CJA/kpGFkpEFmFu60LLbuOsnuQ8mcSs7ibGoOp85ncz7TzZlUN0XL12T1mrVXutsFhZB27dpid2axdNkzKJLKh3NXseO3A0x9YZiZ0yMgfORw5MAJHn5pGR893BWyczCyXRiZHvRMDzsPnuPJpTuZ36sehl/08EhBt0eo48MICh+KaokfqoFqN1AdBrJT4vbvdvFQl5pULl8EOdKOFOVAigxj0U/HyNBg5JBWSGFREBbN5yt3ci7dxdCR1wWED5/uwat72LX7NNNeXk7vm1szus8U1q9fL8LIBALBf5q0tDRKlizBM2NbM/HmJiHhJSGih+XyeG7uTzhtMvf1roNs5HZ+hJLt9nEgKZ2dx1L57VAKe06k4tMMIsNsVCldhPLxUZQpHkWZYhGUKRFJdITDdIwAPk3nxNkMDp1K59jZTM5nuNA0g5hIO9XKxtKoagmcDltQ8FAUU/SwqabwoeQjfFjhMI9N/Ybp87aQlHQap9NZsB1dwGw++36Bttek+IgCba+wUuiFD4DOnTuRkXWcJaseQDc0DAw03eCbZdvZtuUww+/sTFa2l6LxsWi6ZFrwDSmQkNHv8vA7PnTjQleZX+gwxQ9L+AgRQ/zrgy4Pg1PHktm0ehe9BzVl9psruXVEW+ITYlAkK0+IJAecIDKm0+PC++bzbpeP8mWGMGbMOF588cWC7WDBfxpd10msUIGOZWy8c3PD3F9uReJcjpf5W46wdPsp7utXlx4dqkNMFBSJwWsPZ/h98+jWvTk3D+2CD1/gZMiju3FrGslpHu4ZMZN7nh9GVMliluPDL3xIVjMGqgxZySl88MICnpo+img7RNg0wgKihxNVcvDma1/xx97jTJ8yApsvy3R6pKez6cc9TF+4hbR0F40T46gVH02pGCfFopzERzs5m+Wh6gNLeO+99xg5UijvgoJn5syZjBs3jgOH5rJv70lmv/c18+ZMRNZ9oLnBYwkf3hxefuMb6pSLpUvdeNPtkelCz/SgZ7jp/dZ6pnetRbyiorkMfB7JEj5ky+1BUPiw8ktJsoHsd3uo5q3NoaM4YUNyOj+cSuOxPnWQouym+BEZxsF0D69+9htvPDcAKTwKwmJY8/MRftl+hLvu622JHm58hhuf7sWjG7w7/Xu+XPQzmSkGBw4cFGFkAoHgP8+gQYPYte0HfvtwqFWsIE9+DV1H8/q44cEvWflcdyQrHMbQQ0rYYZ1IhBI4STCFh0yXl/1JGRw5m8Xx5EyOn8vm+Lks0rO9gbcoskSpouFUjI+mTLEIikY5URSJ85lu9hxL5YedSfRqkci43nWDLg+barp2VSUohviFD+vExKfpVGk/hS7d+jFz5syC6torxvqkOQXaXuv44QXa3tVOxYoV2bx5c6CCkp/U1FQaNmzIwYMH/9F2C12Oj/wYO/Z2Bg4cyK/bDlKzbhkyM918OHs9brfGsPFdcEaFo0ZKuHym6KGHODs0a57y5ybQuNDxAaF5PAzLtZHb+SFJBrK13v+4aKkS9Ly1OAYG9ZtV49FJCxg2tiPVaiZQvGgEimygSLqV7NQMzTHzf4TeN4WQj+d/T1paJrfddluB9q3gv48sy4wZO5Znn36SZ1pXoqjTFnxSkiiiSNxZrxwj65flyW/2sHrbcf43rjU2nw9bES8fvnYz9z//NTt3HuHpZ0fisEdY+WpkJFwUi4G35t1OSoaPudM+o/eorkSEh1sOKlNlcWflsHjm1wwcdR3PvjWaCJuRS/SwK2F4XXD3XW9Sq3pZ3pk6DMmdhpGZRnZSMpP+twzJ4+W5XrUoZbdhuDUMr2YecPgMSHHx1srdREdFiWS/givGTTfdxKRJk3jk4Tmknc/gk/mTkdHNBNWaVYbZ0DA0H2t+PsTdveuAx4Ph0zB8Gnh1Pt1yjDbl4khw2NByNDSfHHB5BN0e1m+WHlLRxTCrkOmadYytGOi6hKIbtEgowis/H8bQdPOA3SpnXb5EFMeS0nN9hvAwBzk5Hus3z5/E2xTgFclHr4GNeemJz3j6qWeE6CEQCK4Jxo4dS6dOi1jz63E6NCxnOjwkyboFJIkjpzOoUS42mMvPMMxjEM0MgQktdZsLyZybkSUiFZn6ZYpQv1wRkGUr2iUkJ0he8sbdtzBd6iNfW0uLWmepXz0+JKbecnkolvhhCR+SJIEk89U32zl64hxjx469DD149SGSm15ZDh8+jKZpF6x3u92cOHHiH29XCB9Anz59KF++HI8/uAi7XWXo2I4MveN6fIaET5dwa+YA8OoSurVODxE5/MmSLxbq4ifU1eEXPoJirhGw9MuWOCJJ5pVuRTao07Im9VvVQJUNFs5azZrl2xhwa0v6DmyKKmsokr/ijGEJHv77Mj7Nx2uvfkGPHj2oXLlywXSq4JpizJgxPPvMM0xfc4DJTSoF1ksQKIHpsCv8r31VPjtwln6PLOWdiR0pVVFD9vl4ZXIXFqzYTe+ejzLt9TtIrFYu4EqScKGES4Q7FJo0rcBLd71FeFQ4ZSolUL5KKSrXLMsbT8xn4IiOlC8VgVPRCVcNnIqKTXFgl8M4sOcsE++dweQJfbmuZUXIOoeRmc7e7Ye46/nlTOxanevKxaGnudFSskzhw2dgaGZyx/MuL7O3HOO2O+8iMjLyynW0oFATHR3NqFGjmDHjbfbveY8wh2ImMtW8VglmUwBJPpNOdLgNu4wZS26JHrrHx/ubDrOwbwMMr4HulcwlRPTQNAlDA12XrFK2WOKEEUhIJcsGhi5h6AaGZiADdkXC7fERZtgDseOSFHLAbdmsw8LsZGe7IFT0wB+SKfHRO6tRZJXRo0dfwZ4WCASCS0fHjh2pU6c2L334Mx0alwdk/+QKkpmx/Xymm7goR/BNecJgLDt5IOG0H7PYihSM+5Ws6o+KgRGar+NiSP652hQ2JFmiQsko3D49n3weckD8kGTZnNclmVNnM3j4pRW0atWKRo0aXfoOvAoRyU2vDEuWLAncX7lyJTExMYHHmqaxatUqKlSo8I+3L4QPzPrADz/8CLfffjsfr3iAOk0q49FNscOnSwEBxGs9Ni8S53F9WHOWGeYiXSDaBtwekoSCX2C1nB/4HR/BMBeZoDhi5jcwLLu/Qd/h19Hr5jYc2nucn386xKE/TnHjLc2xq1ZSVsl0e2BJH58u3MCe3UeZ+8GnBd21gmuE4sWLM+6OO5j+1nSGVShPrMNunfj4LfKg2DSUHI2+CbHUjA1n2PPfck/fuvToVAPD7eHGjhVp0aAMd014i/bt63PnPf0Is0ejSnZsugub7KZHt9pc36UmZ1OyOfjHWexhDqrUKM7sT+9GlQ0cso5dUbDJNuyyAwUH7729ku+++YW5M8aRUESBjGSMjHTmffIT87/ewayhTYg3JLRTWeiZXnw5BroX88q3DoYu8dqvR/DoMHHixCvd1YJCzv3338+MGTN4971lPDF5INaXNSB+GJqPL77ZSc82la3qAeZBs6EZbD6UQv2EGMIkCc2roWuymbvXF0xmaoSGufhFeskIZPM3rDGhh9xHh7LRYRw/n0OV2HCsI2lSs93ERDpDkuzJxERHkJqaFSJ6BEu3pyRnMeut7xk//q4L7KsCgUDwX0WSJB577HEGDRrEj78dp1W9MlZ2dv/Js4Tbq+OwXZhfz7ASBRq6Pywm9wmEAQFHhqQbIEumEGK59AKOjbz410kSgXJ5Zi1IftyVxMPDmgfDWgKhLX5xRAZJ4eipNCY98yXJKVnsO3iaN2d8eKm67KrHrYnCD1eCPn36AOaYGjZsWK7nbDYbFSpUYOrUqf94+0L4sBg+fDgvvfQ/Xn/hK6Z/ch8asilwhAgeHuu+uYCmG2gGbF//O39s3YduQNubO/PRY+9iGNCib1skWWbD4jUA3PrUaH5dtRl0nXI1ylO1YRUMTcduV5ElS8glKIj43R+qBIpsoIaIIKrqoFKdiqB52brlMKMGz+CdebfjtBHi9zDIyfLy1KMf07tXT5o0aXJF+1jw32by5MnMfGcG13+9iapWCeRS4U6aFYulXUIxikXYUFw6SrZOpTAbn/aux1MbDvLZ+gM8f1tL4iuWpFx0JF9MH8xHX++kW5fJ3HJzBwbf2pmIsFjshhuf7sGneIgs6aRciRh0w++KUlAkBVVWrDKfdlZ/8xuvv/Y5fbo35os545A9WRip50k7eZYJ/1tGqQg7i0c2R05140t148vS0VyQkW3ww8nzbD6TyolsF1leH6tOn+W+CROIj4+/sp0sKPSUKlWKO++4gymvvMWom1tTJj46GOaimdWIPv92J5883cMSPXTwmXHiy38/Rc8qJTB8OoZOSC6PvEswPBMwryCGJO/xJxU2FXsDZFAVGS2wDpAljp/JonTJ6IAVGiA+vghJp1JMwQOrFLsV6vLyM0tQZBv3339/AfaoQCAQXH769+9P/Xp1mPjKKjbMHorst9QBYODz6ajKRU6mg1US8g93AdMNIptOPckw32NIgL8KbkDoIFfJW8m6RTLdHIs2HKJ9/TLYnLZgYlM1NLzFnOTPpGQx7N55vPn8IAaNnU3bNq3p1KnTpeiq/wReEepyRdCtss+JiYls3ryZYsWKXdLtC+HDwm6389rUqfTs048VX/5C+55NA6JH6OLWYP+u43z59hfkZLkY9MQosnWJxFb1KVahNHq4k8GvTMyV/7F8a9MWphkGZZvWJeXoKc6czSDydCafPjsbzeuj9aCO2Gwqx3YdolSlUjRo3wCHwxREbJKZrEiVDGxyUASxyQZ2xU7/UZ3peVMrdu8+Tcb5DNq0rYIqAxhM/d8XnD2TxtSXREJTwb+jRIkSPPXkEzzw4EO8Ub8xNaKiOZGTw88p53jg550gwfWlStKpTDGKhauoTniqbiV+z8lkxPPf0q5uKe68sSFRJYowpG15BnaswvwVu+nb6xGqVClDnz4tadW2HmHOKDR86IYP3dCt33AFRVI5cSyFzz9dyfLlm2nTvCoLZ4yiiNPASD2NkZ3D1yu388pHP/Fkr9o0j4tEO5GJJ13Dmw0Hkl28tfMIRzNzaF2sOB2LJlA6IYwHdm2naEw4jzz04JXuYoEAgMcensxHc2YycfIcFs4aB5oZ7mL4fGzZdoSqZWOJsCngcmNoemD59dh5Jjcuj5GtmwKHP49HMC2HFaViiR4BhSOI5A+99Oe1kyUkWeJEhovSseG5bNF7j52namJxyw5tXlW02xXcbg8ERA/z9rdfDjN31lpenfIyxYsXvwK9KhAIBJcPWZZ547XXadOhI7OW/MptveoFnzQgM8dDRJiVIy0Y844kSwQj5P3CR56J2XJ65CpPq5Pb6REIeyEgfEh+N4gV5rLzeBpzvt3LFy/0AZvNTGhqU/MkMzVFkjfn/MCTE29g2fe72HvgNB9//FWhysvkujC9hKAAOXTo0GXZrhA+QujRsxd9b+jAyw/Oo3rTGkQXjcGrS3g0U/Q4n5LJygVraN6/I30fHYkSEYFHhxIN4tAMyDEgyx0Ubv3he8F5SEIpUYKSJUogSeCToN+L9/pD9vBkZKPZnSQfPkmqBz5/8j1cmdm06NWKRtc1wiZL2GUDmyyhyqbw4TMMHLKBIzycYqUk3p7yNUcOnuGW4a3ZsXU/b766nCcn3E6lKlWvcO8KrgXuvvsePpozmwd37mBhvVbEy5H0KhZJ7+LlSdPcrD13mgd/2oXH0OleKp7uFUpQJSqShdfVY8XZcwx6dClVy8YytGsNGtYtzcg2ZRnZtRq7T2awZM1WXnt1MarNRu3aFShbrgTOMAcpKZns2nWEY8fPUqpkEfp0rcf490djN7wY2akYqdls/uUQL3/4ExXjwvl8eDMc6R48R7LwZBr8fDyNd3YdRUFmePlEqocXMa+CG/B10glWnz7NJzNeJLpI7JXuXoEAgJjYOF595mFuvvNh+n9Wn0Hd65quD5+P1z7YwLO3tTLzevh84NXAp6N5NAwDFELDVCxnB8GLiP5CA6HqvBmGCZJiBELXJMUw16sShiKR4fERGW5DUmWztrSisG3fWW7s2zBopTZMB0qpUkU5fuwspcrEIUkKHpeL8aPepUHtatxx551XoksFAoHgstO6bVtG3tSb+19fwfWNylG+ZHSgZO2plCzii4QHX2xAQODwnyjgn5+NkNwc5M7hYU21UmjUTEhy0kD4CyGihyTx+7Hz3DtjA/Of7I49whkiesjB90uYZXEl2PzrUQb1bMjjLy3l3tG3UK9Bg8vYc1cfQvgoeKZNm/aXX3v33Xf/ozZEOds8nDlzhtq1alC+ZmmemDMBXVLw6hLJZzN4/b7p9Jk4mOJVKpCjQY4PPDpm8lMDNN2KobYsxP4DzmB+D7/oagRydyhyMMRFssJb/Isqgy8zm6xz5/GkZ7J+/kpa9m5Now71CbNJOBRwKDoOxcCp6DgVAwWNTat/p1bNeIb0eo0SRUqy4eetqKrQuASXhu3bt9O4USP6Fy/LA+Vqm4m4QnNjKZDt87Hy3Am+PXeKatFRjKxSnoolHThjDPZ5spi/J4ntZzJoWzuBAR2rUqN6PISFQZgTl6yw63AKx89m4vbqxMZEUKNySUqXiACvF9xucLk5dvgMn6z4nW83H6FWQjR3tKpEWUnGl+LBnarx7cEUZu0+SrnwCIaXq0RJWzi6T8LnBV03OJqdxc27fqR79058/NnSK92tAkEuDMNgUO9ufLduHb8svZcKCdHs3XOSF99Zw+zJ10O2y3R8ZLnRMzzsPHCO99cd4IW2VdEyfXhzJHxuGZ9XQvOGVnSR0PVgmItsCR6yYqDaDBSbjmo3UO06NqeOEiazPSObT/ed5oWbGiJH25Giw5GiI+jz+FI+nT4EW1QkOMLBFg72cOYt/gkNiZuHdEQzvNx1x5vMnfM9W7duo1atWle2YwUCgeAykp6eTp2a1Skdp/D9tAHYFRl0ncfe/ZF+rRJpUCHOys+kmdVcfGaydbwahhW2aFh5PnInkCYoTshSQLCQrBMGKTRURbZCamSzKMNHq/excO1+5jx6A8VLxJiCh6rkruBi3ZckmVPJWdz/7Jf8vvcMHp+drb/9TlhY2BXr0yvBjF3zCrS922veUqDtXY0kJib+pddJkiTK2V4qSpQowby3p9Jl0EjmTv2cQRMGcj4thxyfwYDJQ4mtUJocDbJ9phro8km4fRIej4ymSWQknSMz6Syy3U5YXDFObt6MYrNTok5tVKcN1a7iiAxDkk0hRJENUwiRDevE0RRF/BfVbI5wwsqEEy1D94dKsW3JWio0qo5DMigaF46ZGlVHRkZCx6EoNGtfm1s6P8v55Cy+/+Q1IXoILil169bltece5c4Hn6SaLZrrY8qYVx8kUFQrnhSFrhHl6BZdjt+zz/PM1n04VYnbqydSt3Qkj9WohNLAYNO5NN78aDP7UrKpl1iUzk3L0bh2KRoWi6JhbIz5gyxJ4EvHdyiF3/ac5NtNh/hh+wmKh9sZUL8M425pgpLjQ0/1kZ6qsXjXaT7ef4JGRYryfI0GRMsONJ+EJwd8PgOf1yDT42PCgV8omVCCGVOeucI9KhBciCRJvPvqczS6rjcDbv+AtR+O4pm3VvP4iBaW28MsYWt4NQyvzqrdSbQpX9TM96GbkrvfFU0+lzdyhbQoBoolfsiq9Vg1kFUJySbz2Z7T9GlYBkmVkVQFSVXMA2rdMGPW/TYSw8ye2rlDHSZMnsMtQzrx0dzveW/mSt6Z+owQPQQCwTVPdHQ0C997nba9bmbiG2t4496OAOw5mkK1QaGuiZB8HhLmFU8rr4SVhzR/0cN/FVXCFD0UOWQx52bNgO2HU1ix+SirfzvODc0r8uVL/VDDHCEujzxLIA+rzNff7+LIiVT2H07mp5WLC53oAcLxcSW4XOEtoYgz4lAMA7KS6dy0Js8/MoGHnp2KEhHOr2u3M+qVuyiaaIoeLmvJ8UnkuGWObPqdPV99S5P77mf3klUozghiKlbFCA8HZ0k8Xg+ZGSppO/ZxevNGdK+bJhMfZPu703HExBDfoC4lalZFUSVUm4KimgehimJgsxa7DI6IKJrf2oOs9AxmPvgGY18eR6lSRZCQrDA/GcP4v/buOz6Kam3g+G+2pZAGCWmUUEIniaEaEC6vRAQRFRXUixQpikYpcr1iAWyIvt6rV+xXKSIoXSw0pYjgi/QAAaRGgrQAAdKz2Z3z/rHJkoWIlCS7JM/38xnd7EzmzOzhOZk8OcXO5HGz2ZvyB9/N/JgGoX6QfQqqhVx+uSshrkRRjDz+QHc2bd3BxHmL8Ld5EecdXPSzUwNU0WopgAZ1tACeDY7jmJ7DxympnN1RwB21wrmtbjBxQdVp0zwIk4/Ontxcft50hFmLd3M2v9Ax7hWcP4wNmkaLiEBujQ7hqftaYbLa0XNt2NNyOZtp54uUYyw+nM5toRFMbtEOL2XGZlXk2UG3K3TdkfQosOk8d2Qrx7Hyf59/SKCpUGJEeJaiOAsy21g47QNu6fUgPYZMJ6ZhCI0jAyG/wDGpaVHSA7vOst0nmH9/a8dSzUU5CPTS58nTNMebjon7i5IeJsdmdCY9FJrZgDIZ2HLsHK/dH3dhmIuheIZTQOkopaMp55IxhNYMICsrl8XfrefxRycz5OE+DLvvNokzIUTlVtR239w8ivcnjeexf4ynQXgAo+6LIye/EF8vI84HpJLDDQGlaWhGA0rpFyaWprSkB2DUHO2x0XCht4fRSFaBjZdnbSHlcAatGodyW9sonul/MyZvc9EkphclPVyG0WjOYS6Tp/xMyt7jfPXJ27SMCqmSbXeeLGfrMYoHp5TFHDOS+CjJXgibPoPcDJ5NGkxq2h98+tYc+j7XH7O/P/l2x7CWfNuFpMexlN9JW59M7LCRFBR4UbfnI9jtBpQOhUrDt2EHx6kBv8a18G/SBc2gyDoP9e5NIv/UH1h1neO/pbN/wUw0FLGDBuLl54VfaBAWi8JkUljMOraiVWS8/f2554XBfPXGLJLeedKxAowdNKWY+r9fM3fKKj7+1yvccestsHkq+NaATmPAZHHv5ytufEUxouVm8Mlb4/nj2AnGr9/EK9Xjae5V3fHDG8dqEna7cv4hWNPAz+jFMK9mWE02Np85zXNHfyMHG+1DanBrZAgtQ/0ZFOKPIQKMZoVmdAyb0Yom6qXof8oOtrR8svIUW49nseTwSXZmZNE7vC4fNrsZbAbsOZBt07HbFHbd8X26rrDadCae2M7m3DMsmf0ZMU0bSowIz1PiZ1Fcm8HMn/oBPR8aSliQD7Z8KyabzdHbw6aDTbHj8FmahPhh1hW6TV2Y2LSUU2vOZ93iCUyLEh5Fm6Go54dmdHSh/vlIBp0ahqCZjWA2XOhCDZhNBqwFNizeumPVmeIHet1GXGx9HnxwIl07JfDRpBfRtn8hcSaEqNxKtN2PPjyY1LSj/GPyJ+QXFBIV6lgNz/k4UyIrreDCMraaBkZwmeDUObylaB6P4p4exUkPk5F9x7NIev9nnu/fjn+N+J8LQ16MBkfCo/i1s5eHdmEy0+I5PoB/fbKalL3HmfTiP3jw7u5V9hmpUHf3FYgZM2bw1ltvsX//fgAaN27MM888Q//+/a/5nJL4uJjZB8zeaJrGh//7Mrl5+Xz5xkzw9qZlz85Y7Y55Pax22DbzG6Juu5Omfx+GtcCINc9IodWArdAx7IXioCleegpAK7H8lMGMMbBp0YOmTvNHX8FgsIFRJ3XNEk5u/ZWGt99Ggy7tsXtp2C12dBQK8K8dzoMTn2D/zlSaxdZHUzrT35rDwv8u5a2XnuWxgQ85GmCzt+OehCgrRTFisVj4esaH3PHAEMZt2cZzfrHEmIPRdYVudwwr0XXX3h+aBkajRpw5lHbeYZi84be8c3y1+xiHk3NAUxiNGsEWL2p4mQm0mPA1G7EYDGhAvm7nZH4BB7NysOmK5n5BdA6szbCgAGw2jdxzCrvdjt1e3PNeOf/iXaDbmXRqB+vzTjHns3e5rcstEiPCcxXFGcDtt3Zi9qf/4cFHR9HvFZ0Zo/+GxWaHQh1ls/PFht/pF1PLMTbcrhxzeBQl/FCOJAgUz3ennK81Q1GCsWhuHoOhOOkBmskxbnzBnhOMvq2J40G7xAR8KEX9iEAOpZ2haQufEkkPnRUrk3nn3a9pFx/LgmkfYDabJc6EEFVDibb79RfHkJmdzYtTZjGwWxPH/ou74RWviFBE0xwrb10ywWnJOT2MBjTzhXk5fkg+ytsLdjD9+e7UCg8okeRwDH25dGiLxsVDXJRSTHx/BeP/vYx/jhjOsyMedSS0q2jbnW9z9xVUbW+//Tbjxo3jySefpGPHjgCsW7eO4cOHc/r0aUaPHn1N55XJTUtz+oDzpd1u57F/jGPKzHl0fvReWg+4h1y7kV1L1nP6wFEa3z+Q/DwjBQVGCvKN2AsNYAXNrmO0K7Ti7jnFa24X/bFMaRrK4Nh0IyijhsFc3M1Yx2LRMVBAwekjGMgnuH4YfjW88fKy42NWVDNBNTP88O8viOnQkq1LfuHXJRv4z2svMOLRga73ExJdQR+cqDJKxEh2dg69BzzBT+t+5THvZnQyRlBY6BhWUty65CkbVuyYMeCDCYNBcy4rbzZreHkZMFs0zGYNzQQ5hkKyKCRXFVKAjk1zLGvrZTBSw2yhjrkaJozYbAq7TTl7mDgmF77Q00QVrQB3Ti9g4tkdHNSzmTNlMnd17+p6PxIjwhOViDOArxf/wN8fG03b6GDmjexEDaMRW2YBd37wM9890BaVZ8Oep2OzGrBZDY5JTQsdE5o6chKac9y4ZrjQ46N4aIvR7Jjg1GTRMXgb0HxM3D13M4uf7Izma0arZkbztaB5W8Dbi2kr9uEX5Eufu1qheXmB2Ztp8zbz2JgZJHbuwPyp71OtWolVDCTOhBBVQYm2WynFMy+9yb8/nMLo3rG8MagdJqVQumOYIjYdZVcXloPUL/q1rJSkR8nhLSu2H+PTZXuY/kJ3fHwtpU5YemGy05I9PXA8hBk0rFY7T738DZ/N3sgrY0fy4tNJrsMKqmDb/fT6Lyu0vLcT/l6h5Xm6+vXr8/LLLzNgwACX9z///HNeeumla54PRHp8/AWj0cinb0+kXu1ajHvjP/yx63cSnhmONc9G4/v6UVBgcPT2KDBiyzdgtOoYbTrGQh17dia2/Cy8fauT8fs2DCYLfjXrYfarDgajM/FhN2roJsdDaqHZgN1kQLfrmMwGvEIbkntkD2snvUOn50ZDDW8Mmh2jpjAbIL5XJz59dBK61cbcz97l/rt6uPsjE1WMn181lsz5jMeeHscHsxfwm+EcffVozlLAMtI4TT6+mPDGiBWdXGygK0LwoaU9mGaF1fHONxYvM4/JbMBkMuBv8ibI6FP012jtwtDSPMhUCt1eiK5fGFIDuI6ZLfo5v89+nn/npkA1C6u+nElC26q1JJuoPHr37MbKhV9wT//HaPv8Er4c0p7s8wV0quuY1FQ5h7ngMm/en9Gc/ynxNTiXPzySmU+DGtVwjjO/SJum4cz8cQ997ryJvNwCRk9cyH9n/sLQ/n358M2XHD09hBCiCtM0jX+9PJa6tSIYPe51kg+eYebozoQFeDt6hl+unS6e36P4taY5eowXtdEFNp1Jc7by3aS78PE2FyUySkl6lFjlxTm8pagnSdqxczw04iu2pBxl6ruTeOTv95fvB3KDsMpQF7c6fvw4HTp0uOT9Dh06cPz48Ws+ryQ+roCmabw4Jon4mOY8/MQ/WND/aeKfeAK7bsZWaKCw0ICtwICxQMdUUIix0M7vq6dhzT5L9Vot8I++BZV9nkJbIbrJj7OHd3F09wr8QxtQr+PfMVq8sNt1DEYDdt2A3W7Aqhscyw7aNXxqN6dR74c5umU3Dbq0wWTSKUBn54IfWfvhHOpEhLNw2gfENG/i7o9KVFFms5kpkyfRvk0cI8a+yg7DWQJtZvrThNpaNTTn7B8OSilOks9OzvAzxzDpBmKoQQt7DWrYvF3mz9IMYDRozp/VetEvdHpRD4+SNM2RJDEYwKbpLLKn8m3hYdq3vol5UydTKyK8Yj4QIcpJh3at2Lr6W/oMfooub60mJtyfqXfHgV0VLYOoXUh+XKui3liHM/OoH1ytaM31EkGpFOg6LerVIOVAOhuT03jkhW9I/eMsn749kaH9+173fQohRGUy4tGBxLZoyoPDRhI78hveG9KWPu3rlpZTdnBOanpx4rk4EaKxZPNh7r2lIb7eFte5Oi5esaV4Qmrn+TQUiukLtvL0a4sJDAhk3fezadcqrjw/ghtKgU0mN3Wn6Oho5s6dy/PPP+/y/pw5c2jUqNE1n1eGupRkt8HexZB5Ahr8DQyX5oWOHj/BkJHPs3z1WsJb3Uztux7FUK025IMhK4cDi96ifnxvaoREY9AVBl2hFXVbU5rmmN+jaPqPzIzD+IbUYddPHxOV8CBewRHYTQZsJgN2swHdrGE0gZe3DYuXHYPtLBk71xMSHcH2T6dzYs9BnnikH2+OfwY/v2qX3o9ug0NrICAcmvQEo+S5xHW6ghhJ2bOP/o//g+27fqOLFsk9qj7+WvGEWCUmuynxOkdZ2UUGKZzlLAVE4ksjgojCj2B8MFw0k3OhspNKFkfJBiASXxoQiFkzopRiO2eYaz7EGZXPhGee4tkRj5a+rLPEiPBEVxBnhYWFvDH5E155632iqvvy5i0NSQyvgW4zYise4mLTnAl0l6Eu4HgGNl5YycVgujDMxeQFBh8Di34/TY6mGNg5Gs3H5Nh8LWgWM3hbSM8ppOPjX5F69DytYpsz44O3aN6klAcSiTMhRFVwBW33qdNnePyZCSz4fjm3xdXi7Ydb0zQi4NIhLsU0x6SmmkZRt9gLE5o+P2MTDyY2JbZxmGPVFmPRZjJe+Lo4EQLO/yfvOcaoVxezdtMhBvTtzbuvv4i3rx8DF/wBwOf31cbbbKjSbfcjK+ZUaHnTEh+o0PI83YIFC3jggQdITEx0zvHxyy+/sHLlSubOnUvv3r2v6bxV51/wlVA6nNwNuRlQv3Oph9SKCGfpnCnMWbSY0ePfYOurwwhu1Z3a7e/j5C8LqBtzB8HB0RhtOga7I+mhlcwtFSU/lKZRPSgKXWlEx/dm94qPaNT1MbyDazkOA2wYsCsDVoMRzQB5R0+y68uvyD93ltiWzZj//Ww6tm99mftRcOYA5GVAYxkCI8rAFcRIy2aN2fjjAj6cOovxk/7Dr3kb+B89kkTqEKSVnBH8QjLDVzPTljDaEgZKcYw8DnKeZRwhg3yXrqAKMKJRD3/q4ocCDpDJ9xzGR5nIMFo5ZD9P4s0dmPzGOJo1vszYVIkR4YmuIM7MZjPjxjzJfXfezoixr3D/ol9pH1Gdf8TUo3NYiGNS0ysqy7WntUIrmkIbCmw63j4XPSboihMZuUxevIn3F+3EZDLz7sQXefyRv5eeXASJMyFE1XAFbXfNkGDmTX2P75avYvQLrxL37Hc81KE+z/ZsTrNaga4Hl+ztUTTMpaQzWQXUDCyeeFS70OtD00p8z4WhLdt/O87rH65m/tKdNG1Unx/mTXNM9A7kWnU2/JEHlMjBVOG221pgdPclVEkpKSm0bNmS++67jw0bNvDOO++waNEiAJo1a8bGjRuJj7/2IevS46Mk3Q5Ht8L5PyC0uWM25MvIzc3jo+lfMund/5Jx9iyhDdsQ3qgr4bXjsSgjBntR8kM5lpotTngoTUMZNXTDhc2OnQJbLlnZJ/Cv2wK7yTHXR74tl7N715G5bSkZh/bQoH4Ur/zzKR7sfSdG418EpW6H9N0QWBtqtfrL+xHiL11ljJzJOMu/PpjC5P9+TqG1kLZaKB3soTSlurMXh2OuxQtJEFXi1zCtxCt1ySvH955XBWwknbWWdI5aM2kd24LXXxzDbV1u+es1vyVGhCe6yjhTSrF81VrGT3qHTdtTaBwcSL+6EfSqHUFNi/ef9vjQDAqDkaKlbHVMlqIJTr0VRh8D8w+ewm7S6HdLA3RvAz+lnuGL/zvMvF9SsVgsjBg2kH8kDaFG9aC/vh+JMyFEZXeVbXdBQQGfzZzH6+98yLGTp0iMqcWgTvXoFV8bXy/ThWSHpl20nK1j1ZYxUzbw2F0xNK4XAmaTYzMZHcvXFk1+mp1fyNcr9zBt/lbWbDhIVJ1Ixj39JAMeuMdlHqZcq07zyY5lQ3ePaISvxVCl2+4+Xy+s0PLm9b63QsvzVAaDgbZt2zJ06FAefPBB/P39y/T8kvgozUUz6f+VvLx8vlr4HR9MncXWHbuwePkSEhFLWEQsNYMbEeAfiaHoV7jiRIdjNReDS/KjECtbFk+iduu7yck8ztnft5CZthOl2+nauQNPDX2YOxK7/HXC42JVcDZmUc6uMkbOnjvP1C/n8/G0LznwexpBRm9a2INoQQ0aEuAynKVo0YlLXhd/bVU2fieLfZwnRcvgoDqPyWTi7jsSGTFsAB3bt/7rhMfFJEaEJ7rKOFNKsXb9Jt777Au+XbYSm81G6+DqdKkZQtsaNWgZEIR38YPrXyQ+NC+NmftO8MvRs2gmI8v3ppN+Po/GDevx2MCHGPz3+wkKDLi6+5E4E0JUBVfZdlutVuZ9u5QPpsxk/eZkqnmb6doijG6xkSQ0CaVlnSCMRsOFxIdBA6ORj5btoU54IHfeEu0c3mLTjOz8/TT/t+Moy/7vEKs3pJKXb+VvHdqRNPhheve8rdTeeaUmPopVwba799xFFVre133vqdDyPNXatWuZNm0a8+fPR9d17r//foYMGUKnTp3K5PyS+CjNVTZYJe3Zd4B53y7lux9+YkvyTpRSWCzeBAZG4u1VE2+fIExe1dBMZpQGdr2QAmsO+flnseacJPPMUex2G2azmc4J7ejVrQt97u5BZHjYtd9PFWywRDm7xhhRSrFx63YWLv6B75auZM+BQwD4mbyI0KpRo9BMIBa8MWLGgI7Cik4WhZw3WEk3F3DSmo2uFNV8fEj8Wwd63d6Ve+/sRvWgwL8o/TIkRoQnuo6fRRlnz7Hw+x/4fvkqVvz8Czl5+RgNBur6+1PP25swLws1vCz4mIyYjVCg7OTqNk4V5HMkv5D9Z3M4l1cAQMsm0fTsdiv33tmNtvGxV59YLCZxJoSoCq6j7T6Yepi53yxlyY+rWb8lGbtdx8fLTJPIIBqE+hJRw5fqfl54e5k4ejaX7akZxEXX5PjZPA4ez2Jf2hkKrDZMJiO3tGtNz27/Q5+7ehBVp9Zly5XEh6s7vviuQstb0r9XhZbn6XJycpg7dy7Tp09n7dq1REdHM2TIEAYOHEh4+LUvVCCJj5KUgvzzkJEKFj/XWeyvQWZWFhu37iA5ZQ979h0k7egxjp88xfnMbI6dzQHNQK3qvgRXDyQ8tCYNourQrHFDWse1pFVsc7y8vK7/fqzZUKM+eAde9/0IUdYxcvpMBr9uSWbHrr3s2X+QP46d4ET6KbKyczl+LhfNYKR2DV9qBtcgPDSERg3q0axxQ9reFEPLZo3/fE6Bq7kfiRHhaco4zmw2Gzt372VT8k727DvIgdTDHD95ilNnzvLH2RzQdSKCfPH38yU8tCZ1akXQNLoBsS2acHPrmwgJrnH99yNxJoSo7Mq47c7JyWVT8k627dzNnn0H+f3IHxw/eYpz57Ocv0dEBvlQo3og4TVDaFCvDk2jG9A6riWt41ri4+N9xWWVmviowm134mdLKrS8FUPvqNDybiQHDhxg2rRpfPHFF5w4cYLu3bvz7bffXtO5JPFRks0Ka//tmJSozWAwmv/6e67BZbOqZcleCJungm8N6DQGTJa//h4hLkdiRIjyJ3EmhBA3nhu47S71nFW47e7y8bIKLe+n4d0rtLwbTU5ODrNmzeK5557j3Llz2O32azqPrOpyMaOpQpZr8jFVUNa0gu5HVCESI0KUP4kzIYS48dzAbXep56yibbes6uIZfv75Z6ZOncqCBQswGAz07duXIUOGXPP5pMdHaa5jbJ5HqoJj80Q5kxgRovxJnAkhxI1H2u4bXpv/XVWh5W3+560VWp4nO3bsGNOnT2f69OkcOHCADh06MGTIEPr27Uu1atWu69xVL4UnhBBCCCGEEEKUwmDT3X0JVVKPHj1YsWIFISEhDBgwgMGDB9OkSZMyO78kPoQQQgghhBBCCMBccG1zSIjrYzabmT9/PnfeeSdGY9kPN5LER0l2G+z/AbKOQ1RHMJTPx5Nv03n8m2MAfHR3JN6mcppQTrfB4V/g9D5o1K1KjtETZUxiRIjyJ3EmhBA3nhu47S71nFW47TYWSo8Pd7jW1VquVNX5F3wllA7HtztmY67bodyK0XVYnZrjfF1ulIL03yA7HaITy7EgUWVIjAhR/iTOhBDixnMDt92lnrMKt91mq/T4qIwk8VGSwQj1O8P5o6CV01++KpJmgNptIbCW496EuF4SI0KUP4kzIYS48UjbXWlYZKhLpSSJj5IMRqjXsfLMxmwwQq1WVXI2ZlFOJEaEKH8SZ0IIceORtrvSMMrkppVSJUhHCiGEEEIIIYQQ189cYKvQrbxMnDiRDh064OvrS1BQUKnHjBgxgtatW+Pl5cVNN910Reft0qULmqa5bMOHD3funz59+iX7i7f09PQyuLNrIz0+SlIKCnOhMA9M3qBp7r6i66MU2PLBmgNm3xv/foT7SYwIUf4kzoQQ4sYjbXelUVlWdbFarfTp04eEhASmTJnyp8cNHjyYDRs2sGPHjis+97Bhw3jllVecX/v6+jpfP/DAA3Tv3t3l+EGDBpGfn09oaOhV3EHZksRHSfZC+GWyY1KiNoPBaHb3FV0f3QZbZ4BvDeg0BkwWd1+RuNFJjAhR/iTOhBDixiNtd6VhqiRDXV5++WXA0QPjz0yePBmAU6dOXVXiw9fXl/Dw8FL3+fj44OPj4/z61KlTrFq16rLJl4pwTYkPpRRZWVllfS3uZ7NCTj7kFUBWdrkt25RrVegFuQBkZmVjs5RTBtVug9wCUPmQmVmlGixRTiRGhCh/EmdCCHHjuYHb7lLP6eFtt7+/P1o59UKp6B4fBQUFFBQUuLzn5eWFl5dXhV7H1Zg1axYzZ84kPDycXr16MW7cOJdeHyXNmDEDX19f7r///gq+youoa5Cenq4A2WSTTTbZZJNNNtlkk0022WSr0C09Pf1afo31SBMmTLjk/iZMmFBm5582bZoKDAz8y2uIi4u7ovN98sknatmyZWrHjh1q5syZqlatWqp3795/enyzZs3U448/fhVXXD6uKRVpsTgyfkeOHCEgIOBaTiHKUWZmJnXq1JH68UBSN55L6sazSf14LqkbzyV149mkfjyX1I3nKq6b4t9HK4PnnnuOp59+2uW9P+vtMXbsWN58883Lnm/Pnj00bdq0zK7vYo8++qjzdUxMDBEREXTt2pWDBw/SsGFDl2PXr1/Pnj17+OKLL8rteq7UNSU+irsVBQQESGPgwaR+PJfUjeeSuvFsUj+eS+rGc0ndeDapH88ldeO5ymuYiztczbCWMWPGMGjQoMse06BBgzK4qivXvn17AA4cOHBJ4uOzzz7jpptuonXr1hV6TaWRyU2FEEIIIYQQQggPV7NmTWrWrOnuy3CRnJwMQEREhMv72dnZzJ07l0mTJrnhqi4liQ8hhBBCCCGEEKISSUtLIyMjg7S0NOx2uzNBER0djZ+fH+DopZGdnc2JEyfIy8tzHtO8eXMsFgtHjx6la9euzJgxg3bt2nHw4EG+/PJL7rjjDoKDg9mxYwejR4+mc+fOxMbGupQ/Z84cbDYbDz/8cEXe9p+6psSHl5cXEyZM8OiZZqsyqR/PJXXjuaRuPJvUj+eSuvFcUjeeTerHc0ndeC6pmys3fvx4Pv/8c+fX8fHxAKxevZouXboAMHToUNasWXPJMampqdSrV4/CwkL27t1Lbq5j1R+LxcKKFSv4z3/+Q05ODnXq1OG+++7jxRdfvKT8KVOmcO+99xIUFFROd3h1NKWUcvdFCCGEEEIIIYQQQpQHg7svQAghhBBCCCGEEKK8SOJDCCGEEEIIIYQQlZYkPoQQQgghhBBCCFFpSeJDCCGEEEIIIYQQldY1JT4++OAD6tWrh7e3N+3bt2fjxo1lfV3iIj///DO9evUiMjISTdNYtGiRy36lFOPHjyciIgIfHx8SExPZv3+/yzEZGRn069ePgIAAgoKCGDJkCNnZ2RV4F5XTpEmTaNu2Lf7+/oSGhnLPPfewd+9el2Py8/NJSkoiODgYPz8/7rvvPk6ePOlyTFpaGj179sTX15fQ0FCeeeYZbDZbRd5KpfPRRx8RGxtLQEAAAQEBJCQksHTpUud+qRfP8cYbb6BpGqNGjXK+J/XjPi+99BKaprlsTZs2de6XunGvo0eP8vDDDxMcHIyPjw8xMTFs3rzZuV+eCdynXr16l8SOpmkkJSUBEjvuZLfbGTduHPXr18fHx4eGDRvy6quvUnKdB4kd98nKymLUqFFERUXh4+NDhw4d2LRpk3O/1I24buoqzZ49W1ksFjV16lS1a9cuNWzYMBUUFKROnjx5tacSV2HJkiXqhRdeUAsXLlSA+vrrr132v/HGGyowMFAtWrRIbd++Xd11112qfv36Ki8vz3lM9+7dVVxcnPr111/V2rVrVXR0tHrooYcq+E4qn9tvv11NmzZNpaSkqOTkZHXHHXeounXrquzsbOcxw4cPV3Xq1FErV65UmzdvVjfffLPq0KGDc7/NZlMtW7ZUiYmJatu2bWrJkiUqJCREPffcc+64pUrj22+/VYsXL1b79u1Te/fuVc8//7wym80qJSVFKSX14ik2btyo6tWrp2JjY9XIkSOd70v9uM+ECRNUixYt1PHjx53bqVOnnPulbtwnIyNDRUVFqUGDBqkNGzaoQ4cOqeXLl6sDBw44j5FnAvdJT093iZsff/xRAWr16tVKKYkdd5o4caIKDg5W33//vUpNTVXz5s1Tfn5+6t1333UeI7HjPn379lXNmzdXa9asUfv371cTJkxQAQEB6o8//lBKSd2I63fViY927dqppKQk59d2u11FRkaqSZMmlemFiT93ceJD13UVHh6u3nrrLed7586dU15eXuqrr75SSim1e/duBahNmzY5j1m6dKnSNE0dPXq0wq69KkhPT1eAWrNmjVLKURdms1nNmzfPecyePXsUoNavX6+UciS2DAaDOnHihPOYjz76SAUEBKiCgoKKvYFKrnr16uqzzz6TevEQWVlZqlGjRurHH39Uf/vb35yJD6kf95owYYKKi4srdZ/UjXs9++yz6pZbbvnT/fJM4FlGjhypGjZsqHRdl9hxs549e6rBgwe7vHfvvfeqfv36KaUkdtwpNzdXGY1G9f3337u836pVK/XCCy9I3YgycVVDXaxWK1u2bCExMdH5nsFgIDExkfXr15dFBxRxDVJTUzlx4oRLvQQGBtK+fXtnvaxfv56goCDatGnjPCYxMRGDwcCGDRsq/Jors/PnzwNQo0YNALZs2UJhYaFL/TRt2pS6deu61E9MTAxhYWHOY26//XYyMzPZtWtXBV595WW325k9ezY5OTkkJCRIvXiIpKQkevbs6VIPIHHjCfbv309kZCQNGjSgX79+pKWlAVI37vbtt9/Spk0b+vTpQ2hoKPHx8Xz66afO/fJM4DmsViszZ85k8ODBaJomseNmHTp0YOXKlezbtw+A7du3s27dOnr06AFI7LiTzWbDbrfj7e3t8r6Pjw/r1q2TuhFlwnQ1B58+fRq73e7SGAOEhYXx22+/lemFiSt34sQJgFLrpXjfiRMnCA0NddlvMpmoUaOG8xhx/XRdZ9SoUXTs2JGWLVsCjs/eYrEQFBTkcuzF9VNa/RXvE9du586dJCQkkJ+fj5+fH19//TXNmzcnOTlZ6sXNZs+ezdatW13G8BaTuHGv9u3bM336dJo0acLx48d5+eWX6dSpEykpKVI3bnbo0CE++ugjnn76aZ5//nk2bdrEiBEjsFgsDBw4UJ4JPMiiRYs4d+4cgwYNAqRdc7exY8eSmZlJ06ZNMRqN2O12Jk6cSL9+/QB5nnYnf39/EhISePXVV2nWrBlhYWF89dVXrF+/nujoaKkbUSauKvEhhLi8pKQkUlJSWLdunbsvRRRp0qQJycnJnD9/nvnz5zNw4EDWrFnj7suq8o4cOcLIkSP58ccfL/kLj3C/4r+AAsTGxtK+fXuioqKYO3cuPj4+brwyoes6bdq04fXXXwcgPj6elJQUPv74YwYOHOjmqxMlTZkyhR49ehAZGenuSxHA3LlzmTVrFl9++SUtWrQgOTmZUaNGERkZKbHjAb744gsGDx5MrVq1MBqNtGrVioceeogtW7a4+9JEJXFVQ11CQkIwGo2XzD598uRJwsPDy/TCxJUr/uwvVy/h4eGkp6e77LfZbGRkZEjdlZEnn3yS77//ntWrV1O7dm3n++Hh4VitVs6dO+dy/MX1U1r9Fe8T185isRAdHU3r1q2ZNGkScXFxvPvuu1IvbrZlyxbS09Np1aoVJpMJk8nEmjVrmDx5MiaTibCwMKkfDxIUFETjxo05cOCAxI6bRURE0Lx5c5f3mjVr5hyKJM8EnuHw4cOsWLGCoUOHOt+T2HGvZ555hrFjx/Lggw8SExND//79GT16NJMmTQIkdtytYcOGrFmzhuzsbI4cOcLGjRspLCykQYMGUjeiTFxV4sNisdC6dWtWrlzpfE/XdVauXElCQkKZX5y4MvXr1yc8PNylXjIzM9mwYYOzXhISEjh37pxL1nTVqlXouk779u0r/JorE6UUTz75JF9//TWrVq2ifv36Lvtbt26N2Wx2qZ+9e/eSlpbmUj87d+50abB//PFHAgICLnnAFddH13UKCgqkXtysa9eu7Ny5k+TkZOfWpk0b+vXr53wt9eM5srOzOXjwIBERERI7btaxY8dLlkzft28fUVFRgDwTeIpp06YRGhpKz549ne9J7LhXbm4uBoPrrz5GoxFd1wGJHU9RrVo1IiIiOHv2LMuXL+fuu++WuhFl42pnQ509e7by8vJS06dPV7t371aPPvqoCgoKcpl9WpS9rKwstW3bNrVt2zYFqLfffltt27ZNHT58WCnlWOIpKChIffPNN2rHjh3q7rvvLnWJp/j4eLVhwwa1bt061ahRI1niqQw8/vjjKjAwUP30008uS9jl5uY6jxk+fLiqW7euWrVqldq8ebNKSEhQCQkJzv3Fy9d169ZNJScnq2XLlqmaNWvK8nXXaezYsWrNmjUqNTVV7dixQ40dO1ZpmqZ++OEHpZTUi6cpuaqLUlI/7jRmzBj1008/qdTUVPXLL7+oxMREFRISotLT05VSUjfutHHjRmUymdTEiRPV/v371axZs5Svr6+aOXOm8xh5JnAvu92u6tatq5599tlL9knsuM/AgQNVrVq1nMvZLly4UIWEhKh//vOfzmMkdtxn2bJlaunSperQoUPqhx9+UHFxcap9+/bKarUqpaRuxPW76sSHUkq99957qm7duspisah27dqpX3/9tayvS1xk9erVCrhkGzhwoFLKsQTXuHHjVFhYmPLy8lJdu3ZVe/fudTnHmTNn1EMPPaT8/PxUQECAeuSRR1RWVpYb7qZyKa1eADVt2jTnMXl5eeqJJ55Q1atXV76+vqp3797q+PHjLuf5/fffVY8ePZSPj48KCQlRY8aMUYWFhRV8N5XL4MGDVVRUlLJYLKpmzZqqa9euzqSHUlIvnubixIfUj/s88MADKiIiQlksFlWrVi31wAMPqAMHDjj3S92413fffadatmypvLy8VNOmTdV///tfl/3yTOBey5cvV8Aln7lSEjvulJmZqUaOHKnq1q2rvL29VYMGDdQLL7zgskywxI77zJkzRzVo0EBZLBYVHh6ukpKS1Llz55z7pW7E9dKUUsotXU2EEEIIIYQQQgghytlVzfEhhBBCCCGEEEIIcSORxIcQQgghhBBCCCEqLUl8CCGEEEIIIYQQotKSxIcQQgghhBBCCCEqLUl8CCGEEEIIIYQQotKSxIcQQgghhBBCCCEqLUl8CCGEEEIIIYQQotKSxIcQQgghhBBCCCEqLUl8CCGEEEUGDRrEPffc47by+/fvz+uvv15u59+9eze1a9cmJyen3MoQQgghhPA0mlJKufsihBBCiPKmadpl90+YMIHRo0ejlCIoKKhiLqqE7du3c+utt3L48GH8/PzKrZz777+fuLg4xo0bV25lCCGEEEJ4Ekl8CCGEqBJOnDjhfD1nzhzGjx/P3r17ne/5+fmVa8LhrwwdOhSTycTHH39cruUsXryYYcOGkZaWhslkKteyhBBCCCE8gQx1EUIIUSWEh4c7t8DAQDRNc3nPz8/vkqEuXbp04amnnmLUqFFUr16dsLAwPv30U3JycnjkkUfw9/cnOjqapUuXupSVkpJCjx498PPzIywsjP79+3P69Ok/vTa73c78+fPp1auXy/v16tXjtddeY8CAAfj5+REVFcW3337LqVOnuPvuu/Hz8yM2NpbNmzc7v+fw4cP06tWL6tWrU61aNVq0aMGSJUuc+2+77TYyMjJYs2bNdX6iQgghhBA3Bkl8CCGEEJfx+eefExISwsaNG3nqqad4/PHH6dOnDx06dGDr1q1069aN/v37k5ubC8C5c+e49dZbiY+PZ/PmzSxbtoyTJ0/St2/fPy1jx44dnD9/njZt2lyy75133qFjx45s27aNnj170r9/fwYMGMDDDz/M1q1badiwIQMGDKC4A2dSUhIFBQX8/PPP7Ny5kzfffNOlJ4vFYuGmm25i7dq1ZfxJCSGEEEJ4Jkl8CCGEEJcRFxfHiy++SKNGjXjuuefw9vYmJCSEYcOG0ahRI8aPH8+ZM2fYsWMHAO+//z7x8fG8/vrrNG3alPj4eKZOncrq1avZt29fqWUcPnwYo9FIaGjoJfvuuOMOHnvsMWdZmZmZtG3blj59+tC4cWOeffZZ9uzZw8mTJwFIS0ujY8eOxMTE0KBBA+688046d+7scs7IyEgOHz5cxp+UEEIIIYRnksSHEEIIcRmxsbHO10ajkeDgYGJiYpzvhYWFAZCeng44JildvXq1c84QPz8/mjZtCsDBgwdLLSMvLw8vL69SJ2AtWX5xWZcrf8SIEbz22mt07NiRCRMmOBMyJfn4+Dh7qAghhBBCVHaS+BBCCCEuw2w2u3ytaZrLe8XJCl3XAcjOzqZXr14kJye7bPv377+k50WxkJAQcnNzsVqtly2/uKzLlT906FAOHTpE//792blzJ23atOG9995zOWdGRgY1a9a8sg9ACCGEEOIGJ4kPIYQQogy1atWKXbt2Ua9ePaKjo122atWqlfo9N910EwC7d+8uk2uoU6cOw4cPZ+HChYwZM4ZPP/3UZX9KSgrx8fFlUpYQQgghhKeTxIcQQghRhpKSksjIyOChhx5i06ZNHDx4kOXLl/PII49gt9tL/Z6aNWvSqlUr1q1bd93ljxo1iuXLl5OamsrWrVtZvXo1zZo1c+7//fffOXr0KImJidddlhBCCCHEjUASH0IIIUQZioyM5JdffsFut9OtWzdiYmIYNWoUQUFBGAx//mN36NChzJo167rLt9vtJCUl0axZM7p3707jxo358MMPnfu/+uorunXrRlRU1HWXJYQQQghxI9BU8fp3QgghhHCbvLw8mjRpwpw5c0hISCiXMqxWK40aNeLLL7+kY8eO5VKGEEIIIYSnkR4fQgghhAfw8fFhxowZnD59utzKSEtL4/nnn5ekhxBCCCGqFOnxIYQQQgghhBBCiEpLenwIIYQQQgghhBCi0pLEhxBCCCGEEEIIISotSXwIIYQQQgghhBCi0pLEhxBCCCGEEEIIISotSXwIIYQQQgghhBCi0pLEhxBCCCGEEEIIISotSXwIIYQQQgghhBCi0pLEhxBCCCGEEEIIISotSXwIIYQQQgghhBCi0vp/1eA+gVApf9UAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x126 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "speed_epoch_data = epoch_data.where(epoch_data.cue == 'SP').stack({'trial':['participant','epoch']}).dropna('trial', how=\"all\")\n",
    "accuracy_epoch_data = epoch_data.where(epoch_data.cue == 'AC').stack({'trial':['participant','epoch']}).dropna('trial', how=\"all\")\n",
    "\n",
    "hmp.visu.plot_topo_timecourse(speed_epoch_data, estimates_cumulative, info, as_time=True, max_time=900)\n",
    "hmp.visu.plot_topo_timecourse(accuracy_epoch_data, estimates_cumulative, info, as_time=True, max_time=900)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9067781b-7a6e-40d7-bee5-d01438f1942e",
   "metadata": {},
   "source": [
    "But in this case the HMP parameters are all shared across conditions so we might want to estimate the model separately for each condition if there is a reason to expect a difference. This is done by selecting the condition of interest and then estimating the model on the selected data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "604ecbbc-acb9-45df-8dab-9ed0ae864888",
   "metadata": {},
   "outputs": [],
   "source": [
    "speed_preprocessed_data = hmp.utils.condition_selection(preprocessed.data, 'SP', variable='cue')\n",
    "trial_data_speed = hmp.trialdata.TrialData.from_transformer(speed_preprocessed_data, pattern=event_properties.template)\n",
    "\n",
    "accuracy_preprocesssed_data = hmp.utils.condition_selection(preprocessed.data, 'AC', variable='cue')\n",
    "trial_data_accuracy = hmp.trialdata.TrialData.from_transformer(accuracy_preprocesssed_data, pattern=event_properties.template)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "64e9b722-2c8f-4017-8ed1-3e5cbff2ba2a",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "446db4de1d1f4ba5950eb6ef835c4fc0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/12 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 events found around times [93]\n",
      "2 events found around times [93, 280]\n",
      "3 events found around times [90, 276, 536]\n",
      "Found 3 events\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x126 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_speed = hmp.models.CumulativeMethod(event_properties)\n",
    "model_speed.fit(trial_data_speed)\n",
    "ll_cumulative_speed, estimates_speed = model_speed.transform(trial_data_speed)\n",
    "hmp.visu.plot_topo_timecourse(epoch_data, estimates_speed, info)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "a6beaf1c-06e4-422d-8706-e35258cc1d65",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "27b09bdf4a8a4b1892e60cdecfb0eaf4",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "  0%|          | 0/18 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 events found around times [83]\n",
      "2 events found around times [86, 283]\n",
      "3 events found around times [86, 276, 523]\n",
      "4 events found around times [86, 273, 503, 826]\n",
      "Found 4 events\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x126 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "model_accuracy = hmp.models.CumulativeMethod(event_properties)\n",
    "model_accuracy.fit(trial_data_accuracy)\n",
    "ll_cumulative_accuracy, estimates_accuracy = model_accuracy.transform(trial_data_accuracy)\n",
    "hmp.visu.plot_topo_timecourse(epoch_data, estimates_accuracy, info)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d94ef33-e3e7-40bb-b522-0f757daacb80",
   "metadata": {},
   "source": [
    "In this case, the models are completely independent and the cumulative method finds an additional event for the accuracy condition, but not for the speed condition.\n",
    "\n",
    "In the next advanced tutorials we cover how to build models that share some parameters between conditions or participants."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "hmp",
   "language": "python",
   "name": "hmp"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}