{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Brain Observatory\n",
"This notebook documents some classes and functions in the AllenSDK that help manipulate files and data structures in the Allen Brain Observatory. The main entry point in the `BrainObservatoryCache` class. This class is responsible for downloading any requested data or metadata on request and storing it in well known locations.\n",
"\n",
"Download this file in .ipynb format here."
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Experiment Containers\n",
"The experiment container describes a set of experiments performed with the same targeted area, imaging depth, and Cre line. The `BrainObservatoryCache` has a number of functions for figuring out what experiment containers are available at the moment."
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"all targeted structures: [u'VISal', u'VISam', u'VISl', u'VISp', u'VISpm', u'VISrl']\n"
]
}
],
"source": [
"from allensdk.core.brain_observatory_cache import BrainObservatoryCache\n",
"import pprint\n",
"\n",
"# This class uses a 'manifest' to keep track of downloaded data and metadata. \n",
"# All downloaded files will be stored relative to the directory holding the manifest\n",
"# file. If 'manifest_file' is a relative path (as it is below), it will be \n",
"# saved relative to your working directory. It can also be an absolute path.\n",
"boc = BrainObservatoryCache()\n",
"\n",
"# Download a list of all targeted areas\n",
"targeted_structures = boc.get_all_targeted_structures()\n",
"print(\"all targeted structures: \" + str(targeted_structures))"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"all VISp experiment containers: 144\n"
]
}
],
"source": [
"# Download experiment containers for VISp experiments\n",
"visp_ecs = boc.get_experiment_containers(targeted_structures=['VISp'])\n",
"print(\"all VISp experiment containers: %d\" % len(visp_ecs))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"all imaging depths: [175, 185, 195, 200, 205, 225, 250, 265, 275, 276, 285, 300, 320, 325, 335, 350, 365, 375, 390, 400, 550, 570, 625]\n"
]
}
],
"source": [
"# Download a list of all imaging depths\n",
"depths = boc.get_all_imaging_depths()\n",
"print(\"all imaging depths: \" + str(depths))"
]
},
{
"cell_type": "code",
"execution_count": 6,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"all stimuli:\n",
"\n",
"['drifting_gratings',\n",
" 'locally_sparse_noise',\n",
" 'locally_sparse_noise_4deg',\n",
" 'locally_sparse_noise_8deg',\n",
" 'natural_movie_one',\n",
" 'natural_movie_three',\n",
" 'natural_movie_two',\n",
" 'natural_scenes',\n",
" 'spontaneous',\n",
" 'static_gratings']\n"
]
}
],
"source": [
"# Download a list of all stimuli\n",
"stims = boc.get_all_stimuli()\n",
"print(\"all stimuli:\\n\")\n",
"pprint.pprint(stims)"
]
},
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"all cre lines:\n",
"\n",
"[u'Cux2-CreERT2',\n",
" u'Emx1-IRES-Cre',\n",
" u'Fezf2-CreER',\n",
" u'Nr5a1-Cre',\n",
" u'Ntsr1-Cre_GN220',\n",
" u'Pvalb-IRES-Cre',\n",
" u'Rbp4-Cre_KL100',\n",
" u'Rorb-IRES2-Cre',\n",
" u'Scnn1a-Tg3-Cre',\n",
" u'Slc17a7-IRES2-Cre',\n",
" u'Sst-IRES-Cre',\n",
" u'Tlx3-Cre_PL56',\n",
" u'Vip-IRES-Cre']\n"
]
}
],
"source": [
"# Download a list of all cre driver lines \n",
"cre_lines = boc.get_all_cre_lines()\n",
"print(\"all cre lines:\\n\")\n",
"pprint.pprint(cre_lines)"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Cux2 experiments: 76\n",
"\n",
"Example experiment container record:\n",
"{'cre_line': u'Cux2-CreERT2',\n",
" 'donor_name': u'222426',\n",
" 'failed': False,\n",
" 'id': 511510736,\n",
" 'imaging_depth': 175,\n",
" 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n",
" 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n",
" 'tags': [],\n",
" 'targeted_structure': u'VISp'}\n"
]
}
],
"source": [
"# Download experiment containers for Cux2 experiments\n",
"cux2_ecs = boc.get_experiment_containers(cre_lines=['Cux2-CreERT2'])\n",
"print(\"Cux2 experiments: %d\\n\" % len(cux2_ecs))\n",
"\n",
"print(\"Example experiment container record:\")\n",
"pprint.pprint(cux2_ecs[0])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Download Experiments for a Container\n",
"An experiment container is a group of experiments. Each experiment has a different stimulus protocol. For example, one experiment protocol contains the static gratings stimulus and another has the natural scenes stimulus. The `BrainObservatoryCache` helps you find out which experiment associated with a container has the stimuli you are interested in. First, let's see what experiments are available for a single container."
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Experiments for experiment_container_id 511510736: 3\n",
"\n",
"[{'acquisition_age_days': 104,\n",
" 'cre_line': u'Cux2-CreERT2',\n",
" 'donor_name': u'222426',\n",
" 'experiment_container_id': 511510736,\n",
" 'fail_eye_tracking': True,\n",
" 'id': 501704220,\n",
" 'imaging_depth': 175,\n",
" 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n",
" 'session_type': u'three_session_A',\n",
" 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n",
" 'targeted_structure': u'VISp'},\n",
" {'acquisition_age_days': 103,\n",
" 'cre_line': u'Cux2-CreERT2',\n",
" 'donor_name': u'222426',\n",
" 'experiment_container_id': 511510736,\n",
" 'fail_eye_tracking': True,\n",
" 'id': 501559087,\n",
" 'imaging_depth': 175,\n",
" 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n",
" 'session_type': u'three_session_B',\n",
" 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n",
" 'targeted_structure': u'VISp'},\n",
" {'acquisition_age_days': 102,\n",
" 'cre_line': u'Cux2-CreERT2',\n",
" 'donor_name': u'222426',\n",
" 'experiment_container_id': 511510736,\n",
" 'fail_eye_tracking': True,\n",
" 'id': 501474098,\n",
" 'imaging_depth': 175,\n",
" 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n",
" 'session_type': u'three_session_C',\n",
" 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-222426',\n",
" 'targeted_structure': u'VISp'}]\n"
]
}
],
"source": [
"# Find all of the experiments for an experiment container\n",
"cux2_ec_id = cux2_ecs[0]['id']\n",
"exps = boc.get_ophys_experiments(experiment_container_ids=[cux2_ec_id])\n",
"print(\"Experiments for experiment_container_id %d: %d\\n\" % (cux2_ec_id, len(exps)))\n",
"pprint.pprint(exps)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The `session_type` field indicates which experimental protocol was used. If you just want to find which experiment contains the static gratings stimulus, you can do the following:"
]
},
{
"cell_type": "code",
"execution_count": 27,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Experiment with static gratings:\n",
"{'acquisition_age_days': 113,\n",
" 'cre_line': u'Cux2-CreERT2',\n",
" 'donor_name': u'308148',\n",
" 'experiment_container_id': 591392164,\n",
" 'fail_eye_tracking': True,\n",
" 'id': 592494159,\n",
" 'imaging_depth': 175,\n",
" 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n",
" 'session_type': u'three_session_B',\n",
" 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-308148',\n",
" 'targeted_structure': u'VISrl'}\n"
]
}
],
"source": [
"import allensdk.brain_observatory.stimulus_info as stim_info\n",
"\n",
"# pick one of the cux2 experiment containers\n",
"cux2_ec_id = cux2_ecs[-1]['id']\n",
"\n",
"# Find the experiment with the static static gratings stimulus\n",
"exp = boc.get_ophys_experiments(experiment_container_ids=[cux2_ec_id], \n",
" stimuli=[stim_info.STATIC_GRATINGS])[0]\n",
"print(\"Experiment with static gratings:\")\n",
"pprint.pprint(exp)"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"Now we can download the NWB file for this experiment."
]
},
{
"cell_type": "code",
"execution_count": 28,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"{'age_days': 114,\n",
" 'cre_line': u'Cux2-CreERT2/wt',\n",
" 'device': u'Nikon A1R-MP multiphoton microscope',\n",
" 'device_name': u'CAM2P.1',\n",
" 'excitation_lambda': u'910 nanometers',\n",
" 'experiment_container_id': 591392164,\n",
" 'fov': u'400x400 microns (512 x 512 pixels)',\n",
" 'genotype': u'Cux2-CreERT2/wt;Camk2a-tTA/wt;Ai93(TITL-GCaMP6f)/wt',\n",
" 'imaging_depth_um': 175,\n",
" 'indicator': u'GCaMP6f',\n",
" 'ophys_experiment_id': 592494159,\n",
" 'pipeline_version': u'3.0',\n",
" 'session_start_time': datetime.datetime(2017, 5, 31, 10, 29, 38),\n",
" 'session_type': u'three_session_B',\n",
" 'sex': u'female',\n",
" 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-308148',\n",
" 'targeted_structure': u'VISrl'}\n"
]
}
],
"source": [
"data_set = boc.get_ophys_experiment_data(exp['id'])\n",
"\n",
"# print out the metadata available in the NWB file\n",
"pprint.pprint(data_set.get_metadata())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Find Cells of Interest\n",
"Another way to look for data is to search for cells with interesting tuning properties. We have pre-computed a set of cell metrics. Take a look at this page to see the full list.\n",
"\n",
"You can use these properties to filter the full set of cells down to the set your are interested in."
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total cells: 63251\n",
"VISp cells: 22641\n",
"cells with sig. response to drifting gratings: 13401\n",
"direction-selective cells: 1159\n"
]
}
],
"source": [
"import pandas as pd\n",
"\n",
"# Download cells for a set of experiments and convert to DataFrame\n",
"cells = boc.get_cell_specimens()\n",
"cells = pd.DataFrame.from_records(cells)\n",
"print(\"total cells: %d\" % len(cells))\n",
"\n",
"# find direction selective cells in VISp\n",
"visp_ec_ids = [ ec['id'] for ec in visp_ecs ]\n",
"visp_cells = cells[cells['experiment_container_id'].isin(visp_ec_ids)]\n",
"print(\"VISp cells: %d\" % len(visp_cells))\n",
"\n",
"# significant response to drifting gratings stimulus\n",
"sig_cells = visp_cells[visp_cells['p_dg'] < 0.05]\n",
"print(\"cells with sig. response to drifting gratings: %d\" % len(sig_cells))\n",
"\n",
"# direction selective cells\n",
"dsi_cells = sig_cells[(sig_cells['g_dsi_dg'] > 0.9)]\n",
"print(\"direction-selective cells: %d\" % len(dsi_cells))"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Find Experiments for Cells\n",
"Once you have found a set of cells you would like to investigate, you can use the `BrainObservatoryCache` to find the experiments for those cells that contain the relevant stimulus."
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"total dsi experiment containers: 104\n",
"VISp drifting gratings ophys experiments: 104\n",
"Example ophys experiment:\n",
"{'acquisition_age_days': 111,\n",
" 'cre_line': u'Cux2-CreERT2',\n",
" 'donor_name': u'382421',\n",
" 'experiment_container_id': 701412138,\n",
" 'fail_eye_tracking': True,\n",
" 'id': 704298735,\n",
" 'imaging_depth': 175,\n",
" 'reporter_line': u'Ai93(TITL-GCaMP6f)',\n",
" 'session_type': u'three_session_A',\n",
" 'specimen_name': u'Cux2-CreERT2;Camk2a-tTA;Ai93-382421',\n",
" 'targeted_structure': u'VISp'}\n"
]
}
],
"source": [
"import allensdk.brain_observatory.stimulus_info as stim_info\n",
"\n",
"# find experiment containers for those cells\n",
"dsi_ec_ids = dsi_cells['experiment_container_id'].unique()\n",
"print(\"total dsi experiment containers: %d\" % len(dsi_ec_ids))\n",
"\n",
"# Download the ophys experiments containing the drifting gratings stimulus for VISp experiment containers\n",
"dsi_exps = boc.get_ophys_experiments(experiment_container_ids=dsi_ec_ids, stimuli=[stim_info.DRIFTING_GRATINGS])\n",
"print(\"VISp drifting gratings ophys experiments: %d\" % len(dsi_exps))\n",
"\n",
"print(\"Example ophys experiment:\")\n",
"pprint.pprint(dsi_exps[0])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Download Experiment Data for a Cell\n",
"Once you have some experiments, you can download the NWB files that contain the fluorescence traces for segmented cells in those experiments."
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Metadata from NWB file:\n",
"{'age_days': 93,\n",
" 'cre_line': u'Scnn1a-Tg3-Cre/wt',\n",
" 'device': u'Nikon A1R-MP multiphoton microscope',\n",
" 'device_name': u'CAM2P.2',\n",
" 'excitation_lambda': u'910 nanometers',\n",
" 'experiment_container_id': 511498742,\n",
" 'fov': u'400x400 microns (512 x 512 pixels)',\n",
" 'genotype': u'Scnn1a-Tg3-Cre/wt;Camk2a-tTA/wt;Ai93(TITL-GCaMP6f)/Ai93(TITL-GCaMP6f)',\n",
" 'imaging_depth_um': 350,\n",
" 'indicator': u'GCaMP6f',\n",
" 'ophys_experiment_id': 511534603,\n",
" 'pipeline_version': u'3.0',\n",
" 'session_start_time': datetime.datetime(2016, 4, 1, 9, 12, 3),\n",
" 'session_type': u'three_session_A',\n",
" 'sex': u'female',\n",
" 'specimen_name': u'Scnn1a-Tg3-Cre;Camk2a-tTA;Ai93-231953',\n",
" 'targeted_structure': u'VISp'}\n",
"stimuli available in this file:\n",
"[u'drifting_gratings', u'natural_movie_one', u'natural_movie_three', u'spontaneous']\n"
]
}
],
"source": [
"# pick a direction-selective cell and find its NWB file\n",
"dsi_cell = dsi_cells.iloc[0]\n",
"\n",
"# figure out which ophys experiment has the drifting gratings stimulus for that cell\n",
"cell_exp = boc.get_ophys_experiments(cell_specimen_ids=[dsi_cell['cell_specimen_id']],\n",
" stimuli=[stim_info.DRIFTING_GRATINGS])[0]\n",
"\n",
"data_set = boc.get_ophys_experiment_data(cell_exp['id'])\n",
"\n",
"print(\"Metadata from NWB file:\")\n",
"pprint.pprint(data_set.get_metadata())\n",
"\n",
"print(\"stimuli available in this file:\")\n",
"print(data_set.list_stimuli())"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Fluorescence Traces\n",
"Now that we have a data set, we can plot the traces for the cell we care about."
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [],
"source": [
"dsi_cell_id = dsi_cell['cell_specimen_id']\n",
"time, raw_traces = data_set.get_fluorescence_traces(cell_specimen_ids=[dsi_cell_id])\n",
"_, demixed_traces = data_set.get_demixed_traces(cell_specimen_ids=[dsi_cell_id])\n",
"_, neuropil_traces = data_set.get_neuropil_traces(cell_specimen_ids=[dsi_cell_id])\n",
"_, corrected_traces = data_set.get_corrected_fluorescence_traces(cell_specimen_ids=[dsi_cell_id])\n",
"_, dff_traces = data_set.get_dff_traces(cell_specimen_ids=[dsi_cell_id])"
]
},
{
"cell_type": "code",
"execution_count": 16,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": 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7uCKiIPQZOwd9xs4JaNmso0UAgB9X7o1kkrzSBpp61qeNC2AD3/H0jYdQUFIewbREnxkbDohIHxaLQmbOSaOTQeQkWvcUtQCwT/M62/aet/fdiMgwEckQkYzc3PhtRSZziJdW8P3Hi7H/eHFQ65ivLhvdbxTsdO378opw/7er8OiPayOUIiKKFvPln5Hx3pwdGPjWfGw/bNzIBCJX0QqKPNUSlI/33d9UapxSKl0plZ6amqpr4ogotuhbsTAmgg20p6TY9rDHfXlFEUwNEUVSnLST+RTNgG7VnmMAgIP5JVHcK5Fv0QqKsgG00rxuCeCAj/eJyCiGzT4XPz1wkcAWZiKKZ7uPFGLdvuNGJ4MoZNEKiv4AcIdtFroLAOQrpQ4CmAHgUhFpZJtg4VLbe0RxwYwVWYvpbgaJ7e+TwHEgUdzylk0qDx/8tf5AQvQED3hjHq75cHFQ63g6XkRGSdZjIyLyA4CLADQVkWxYZ5SrDgBKqU8ATAVwBYBMAEUA7rZ9liciLwFYadvUKKWUrwkbiCjCYqGIiueCMpF7u4gSla/r/qHv16BR7epYM/LS6CUoxgkzSopBugRFSqmhfj5XAB708tl4AOP1SAdRtJkxWzeqp8iaTZjniMZxXKcLPoyXqMqxInPNLklkRtEaPkdkSmas9pmtMh/t72OesI6IvIl0trLpQD6yj5l/yB1RLNGlp4go0Zi54mtUUKS8/K3ndqMp2J6SeB4ySET6GvLeIgBA1tghBqckspjrUSxhUEREpIM/1h1A0zopQd9TZLah9bxXgIj8YS5BsYjD54jISSz0WMRjgfnID2tw6+fLQ17f+KNORESUuBgUEYUhFgIIvVmMGj6n2W88H9Xgb6iOxxDQPxNeGkQO3qfkjm46iEg/DIqIyImRzykyw8irsdO2AgimcsRaFFG8E5M2bkQcsz+KIQyKiMJgxvsnzFZGlVdaDNmv2Y4jEZFeTFh0kgkwKCIKgxmHzxk3+1zVjvVMw6+r9+u3sYgwV+3AXN+GyDNveb/5SgSixMGgiCgEZuwhqmLg8LkIbLPSoJukgg7sWJsiihsLdxxxem2GIsGIBjE+5JliCYMiIjI1I++RCoQZKlNEiWZPHh+sSmQ2DIqIyIlhMYTy+iK8zcbAcEAiMpdYb2yJF5yggmIJgyKiMJixXDTyK0Wi14TBSXSx54sSAqfkJjIdBkVE5MSoySMitVdWUohIb7Ha2BJvk//E6nGkxMSgiCgMZmwVN7KIikR5Hi91hDhJJhEhdvOV0gpjHkEQLBMWnWQCDIqIwhCrBSNViVRLpMWiMG3DQe8tswHulpUDovjj/bJnoUAUrxgUEVFMUCoyPW/N6tfUf6MAvl6ahQe+W41fYv45SMZggwGZGSda0AcPI8USXYIiERksIttEJFNEhnv4/G0RWWv7t11Ejms+q9R89oce6SGi0JmtkKqdkhSR7R7KLwEAHDlZ6vFzkx3GgJlxSCmRK2/XN2dTC4y5n/VH8So53A2ISBKADwEMApANYKWI/KGU2mxfRin1mGb5hwGcq9lEsVKqW7jpICJ9xEILqJ5JiIGvE5B4u0HaHw4jIjMz2/UajkP5JTilXg2jk0EUNj16inoAyFRK7VJKlQH4EcA1PpYfCuAHHfZLRJFg4HN9ItHKGrFZ7fx8XlJeGdB22GJKBBSUlBudhKDwniKr7GNFuOCV2Xh39g6jk0IUNj2CohYA9mleZ9vecyMibQC0BTBH83ZNEckQkWUi8g9vOxGRYbblMnJzc3VINhFFS1mFBa9O34rC0oqo7ztSDbr2lmJvIc20jYcis2Mik1mxOw9dXphpdDKC4tqj7q1xw+w9SocLrMOIF+4IrV5m8sNDcUaPoMhTTuDtNL8FwM9KKW0TamulVDqAWwG8IyKne1pRKTVOKZWulEpPTU0NL8VE5FUkyqifVu3Dx/N24p1Z26OehkhXSvTq6DFL3YD3VFCw1uw9ZnQSgmaW6zVcoWavzCUoFukRFGUDaKV53RLAAS/L3gKXoXNKqQO2/3cBmAfn+42IyATKbM/OKK/0XoJGavY5Vl4okorLKh2t5aS/7GNFRifBI6/D5+I4wwll6J99DQ4DJjPQIyhaCaCDiLQVkRRYAx+3WeRE5AwAjQAs1bzXSERq2P5uCqAPgM2u6xJR9JhtuEekvo/JDhOF6NbPl6HnmNlGJ8OUFmzPRd9X5+Kv9d7aWY3jevknakhgzwdD/f7MRimWhB0UKaUqADwEYAaALQAmKaU2icgoEblas+hQAD8q5xpKJwAZIrIOwFwAY7Wz1hEFKjPnBJbuPBq1/Zm5UcyoQkq7Xz0DDkuk7imy/R/ucDETn0oJYc3e4/4XopBsOVgAAFifnR/Q8lPWH0SfsXNQUWmJZLIABN7YkiiNJ2YuEylxhD0lNwAopaYCmOry3kiX1y94WG8JgHP0SAMltoFvLQAAZI0dYnBK4p/ZCvFIfx1WBjwz23lEse/pX9ejoKQChaWVaFA78Dbf8Yt244pzmuPUBoE/6DnY8zta+US8XXfMPimW6PLwViIyj1iYUlbPCkS8DAeMk2T6xSDRWPnF5RjwxjxsPlBgdFICpvc5E0weti+vCKP+2oxh32QEtY9An+dmksvaq6pZOHnhU/xjUERETiJROQ9km9rgJR4e3mqWICZSeHiMsTjzCHYfKcT7c8zz3JhAGzZCudm/3DbUrqA4uOckuU/J7Xv5aIUM0W7UcuwtxC/IfIJiCYMiIooZerQYj5i8AROWZjlex0LPFxEFL9T8IJQGi2ADKjaKWIU8JXeAh/tkaQVGTN5gyDPuKPHock8REVG4fE3XHYxvl+11eh2xniKdgi2zDjcz6deKeYlcWY/mteR9Sm7l83WkRfv3t+eDkTr0ny3YhW+X7cWp9WvioYs7RGgvRFbsKSIKgxkrIBEZPhfAMo/+uEazvH6JCHTsf7AcU9HqVBMzW4+Wub5N/ImnYFvv+1GCOfdCPU+9Xa/e8gPTPsfHkQ+GuLqf/Nmef0dqFlEiLQZFRCEwa/kGRLZy7uu4rcvOj8ubdcNNcTx+Z1/M9W2i65VpW/Dh3EyjkxF1uvW6hrLvEJ+zE2hbS7Tr8kbFDsHnY8wpKPYwKCIKgRl7iOwiM9GCcQeMLYwULz6dvwuvz9gW1jbM1uMYipDymyDr6MH2QEciBJi3LQer9hyLwJYDF62zzcxlLsUO3lNERE4iWfYE2poYD7PPEcUys/VABsI+RC0al7y3xhb3e4oil4a7vlwJwNjn86kwh8/5k3hnMRmJPUVEIcg+VgwAyDlRYnBKTCYiJWCk7imy3WDMUtujeHk+lNnE42HXK4ALbSuhHbBg14rew1ujPSV3ePlgHJ6uZGIMiojCkJlz0ugkmEsESshID5/Tq64Tj5VZjxglxgYT/QzRuDaCv6couIkW4kE4xznYwDbYw8RhoRQNDIqIwmDGbDoWWvj1rFdEavY5vcRxHYo8mLbhIL5bvsew/cf22R6caAwBDDV78JavGJ1/Rn1ih0jvkBkkRRHvKSIKQ6UJ7+KPha8UD/cU2Ter25TcMXDcKXwPfLcaAHBbzzaG7N8xrNOQvccGIx7e6m3tquf4mPMXqcoHQ1yf+R7FEPYUEYWB+bnOIlBviNRvFOkbjInCEc/DuEJl5MNbveUzjuWidk9RdPYTrsQ7OykeMCgiCke8lEAGMzKAMHo4S6LiUadA6Z0vBHP/Sajnqbfhc4kWjIaavwa7FrNxigYGRURhiIWhZvEk0OqCnoeVhWl0JVaVkGJL8GdfqA9v9b49gzOcKO8+3GHE/lZjfkLRxKCIKAyxfhN/vIlEAbgo80gEtqr/bEj7jxfruj1KbPFUmdQ9G41CthzoPUWmZzsOS3eGls+yCKVYoktQJCKDRWSbiGSKyHAPn98lIrkistb27z7NZ3eKyA7bvzv1SA9RtMRLhn64gM9T0pteLcwJNtqGIixe8qRIsF9L0Xl4q8tDWr0sp3dPlD/Rnrq6tMICACivDG6/zPYoFoU9+5yIJAH4EMAgANkAVorIH0qpzS6LTlRKPeSybmMAzwNIhzVPWWVb91i46SKKhnB7ipRSURmDvudoEZrVrxnx/ehFzyEorRvX1m1bHjGq8SiRK+exIJ5OS39pDfRUCuUrh/rw0R1BPqMunn6PYBg+XJBIR3r0FPUAkKmU2qWUKgPwI4BrAlz3MgB/K6XybIHQ3wAG65AmoqgItzxIlPIk0NbLSASINZIjM0o4QX66oJm18kfRpz2Xjp4sxZaDBQGt5ytf/XLxbqza497uGu6U2f7WrgiyJyVehP+ton9cyistpnycBoVPj9pCCwD7NK+zbe+5ul5E1ovIzyLSKsh1ISLDRCRDRDJyc3N1SDZR+PiU7eAYMvtchLfPGIBiiVnzpMveWYjL310Y9nZe/HMzrv94idv7JRWVYW/bl4ooVcKj3dAW6v6MbDzp8Ow0XKHDuUTmo0dQ5OnUdr1M/gSQppTqAmAWgK+DWNf6plLjlFLpSqn01NTUkBNLpKewe4r0SQb5EKnhHfbNztmaE5HtE4Ui2vewRJL20j1ysjQi+8jIsvYa7TlaFJHtmzVItYvW99N7L9sOn9B5i2QGegRF2QBaaV63BHBAu4BS6qhSyp6jfQbg/EDXJYpllX4q3LEylIjjviOHQRHFokR7Xg4QWn6bX1yuf0IMFO2cPtJFSwKexmQgPYKilQA6iEhbEUkBcAuAP7QLiEhzzcurAWyx/T0DwKUi0khEGgG41PYeUVwI/54iBiuR0rl5fQDAPX3bRmgPvn+7q7ueFqH9xgue20YwU5YSaoU4qIe3RviAaTff4dmp2Jkb3AQNsS7co2em85XiX9hBkVKqAsBDsAYzWwBMUkptEpFRInK1bbFHRGSTiKwD8AiAu2zr5gF4CdbAaiWAUbb3iOKCvwLVX5meKOWBEQVf3ZrWyTXr1gh7ks2QVAuwQme2SgEbdmNDIv4OoUyWEM3rr7xS4dfV2RHdR7Qb2kLdX9C/ldkySopJutQWlFJTAUx1eW+k5u+nATztZd3xAMbrkQ6iaOMENoEJ9KnnkajIRaosZRlNsYinZXDXZqSfG8vfIzzhzgpIFIzIzFVLlCDCf06RTgmJEyzeiKLERBdboPlkKA9vDTcPjzXR/jZhl4E6pYNIDwyKiMIQ/uxz8TlzT6jyCssCWk7PekqkjrHJ6lK64/GhaAvp4a06n6cmikUDEq0puZmdVCmrsGDpzqNGJ8OUGBQRhcHvPUWcOsfJT6t8j6fX83BF+sgv2XXE5+eJWojznDcWJ2+JrWMQS2mJhEgPIWd24u6VaVsw9LNl2Lg/3+ikmA6DIqIwhFsgmLy8NLX8InNN5Uvmkoj3YoQSkOsdtPi7pyjSv0v0H94a2g5Z9oVux2HrDIbHigIbeUGBY1BEFAZ/Q7MSr1oSeyI20YJB+42Uh75fjZs/XWp0MihMcXbaRUSg155SChVRni3HbA9zjXQ+F2/5aDTx2OjPmLlqiUwiXmafMzrzDHb/Zqs4xIO/1h80OgmkB9ulw2FH/o2esgWfL9qt6zaNPuzRzjtD3R/Pz9Dx2EUOe4qIwuBv5h1/mZfRwUoiiNQxjmS59NuabOQXx/fwPJ7axoqnepNR96F9vTRL920m2nkf6TIsngOAg/nF6D56FnYfKTQ6KRQgBkVEYdC7QNh6qABpw6dg++ET+m7YYMG2Juox7j7ShWlBSUVEtrvt0Ak8NnEdnpi0LiLbJ3NjL2vg9My/vQV2rvuI+L1eUf7542W0hBH+WHsAuSdK8cOKvRHZPg+9/hgUEYUh3Jt0XSswU2xDmKZvPBTWdl3FW2ubnhU7owqOUPdbXF4JAMg9UaJfYijhxNs178uyXYFNPxyT39nkNddw8+rA7/8KazeGiMMkJzwGRURhCDejziko1SchJhGLdZpoi/cpfFftOWZ0Esgk7L0vmw8WBLVewBXtYBPkc5+xcd1G/+Gtoa0XaADLMoGiiUERURj8FQj+hkrknoxOUBQj5bUhjKqshDxVrf2PmGz2Dlwin3NGisfjrteZHvQDQXU8WPbhtIsyfT+/LJaFcjhiJRgk0gODIqIw+JtowZ9th5zvHbJvzt92lVJYuCM3bgoKx7FXAAAgAElEQVSkoGef0+FrGf2clkC/gut3tb8ONPVHTpYiIysv0GRRgiitsBidhIB5u1ZCb1gIbD09c8+3/t4OANiVG7831R8vDv65N+Hm1bwHjmIJgyKiMPgrtMsqfVdMlrqMlf9tzX4AwDdL9/hc79fV+3H7FyswKWNfAKn0rqisAsVllUGtszIrD3uORqbgtw+X0TPWM6zIDXPHgbZ6X/PBYtzwCZ8vRFZbbQ0tv689YHBKos/ohhBPXCv9BSWRnVUynLzzgzmZQa8TasNgLP5W8SZeGkXjCYMiojCEnSW5bCD3hHU43dFC3y12+44VAQD2HysOa/edR87AeS/9HdQ6N36yFP1fnxfWfr3Rs5iM39Fn1pMi0OTvPx7eOWAWE1fuxfIAb8g3sxNBzIp4sjQyMyjqJdSpumPp5n3XfUzw0+AVb2J59rmS8kocjdIQ9Wgyagr7RMCgiCgMhg8d0CFztM92Fkt0LWcNKrRDfc6QY/gcC76g/N8vG3DzuGWG7T9WWm0D7cVdn30cZz8/A1M3GPvQ3tu/WI6X/tqsy7Zi4ZK5Ob2Vofv3VaZE4hyNlfPek6GfLcP5L88yOhkRE7tHPn4xKCIKQ2W4U3KHuHrQ9+gEmX0eMap1zVapieWCNlCh3nAd/9/cygy/YTw6mB/YVO4b9ucDABbuMHZiAE/7LymvxIPfrcbBEHtBeebFj8BnCgz+V12z93jQ68QDe94aA20ApsOgiNx8uXg3/lqfeOPRQxFuxc9tPHaAuZx9rUqLBZk5+j/o9ZEf1ui+zUBEYpx5IIXp4YISrN4bG1NJBzvRApHZ/L35MKZsOIjPF+3Wdbsrdkd+QhLX/CbaAVq02yJC3l+gU3IzI6Qo0iUoEpHBIrJNRDJFZLiHzx8Xkc0isl5EZotIG81nlSKy1vbvDz3SQ+F58c/NeOh7YyrF8Sbs4XOhxUSOFT+cuxMD31qAHJ0f9Bnq0K9YEkxhOvDN+bjuoyWRS0wQHK2ArAzElVjpGAv0vMk6Yh1mV1wW2/cVBcP+1b01Vk1eu9/vNvKLy7Evr0jHVJlbuDOwJgJm5fEj7KBIRJIAfAjgcgCdAQwVkc4ui60BkK6U6gLgZwCvaT4rVkp1s/27Otz0EEVTuAWC602qaU3qAABOrV/T53quey0ojs2KzZGTpbBYVNA9avo+VNH/MicMvOHcW08WZ2eiUFQLMCr6bKG1F8bo4XOelIR4n6Nj9sow9n3Z2wtw4Wtzw9iCs2gPIw1nb6E0xIS6P4ut8Au0DGXs5Y73nepPj56iHgAylVK7lFJlAH4EcI12AaXUXKWUvellGYCWOuyXyHDhzrzjWmBe2aU5AOD681v4Wc/tHT87sv6XdaQQ7Z+Zil25J4NIZWj25RUh/eVZ+HTBroDXceTxOj6nKN7K0nhLrzdm+R6BipXvWy2C9aRFO46gLIaff1TVU+T580Aq1ocK9O11jyehBB6hNgxO23gIAPD98r0+l4vnij8DufijR1DUAoD2YSnZtve8uRfANM3rmiKSISLLROQf3lYSkWG25TJyc3PDSzGRTvQeOhBq/h9oMiav3Y8Ki8LkKDzDxD5t+LxtOQGvUxUTJW5p4vgt47cuQAYKthIZ6OKr9x7DP79YjtdnbA0hVcEJ+ep3fBfj8g+3hzFHff+B7fGtv7frco9VuEXgsSLfj5/ghC0UTXoERZ6yVI9nsYj8E0A6gNc1b7dWSqUDuBXAOyJyuqd1lVLjlFLpSqn01NTUcNMct5SqGopUUWnBB3N2oMhEY8LjTthTcoe6Xpg38/opaHQphxxTSwe+SriNgiuz3Av5WC5T8wrLMH+750YexkQUimDPm0Cvj7yT1srrrtzIPLjZSYjXbCJfM8Hmne/N3oGbPnV+6HNIw+dCyGArNA81D3S4Zxx3GEUMD4n+9AiKsgFoJ+ZvCcCtGVpEBgJ4FsDVSinHfL9KqQO2/3cBmAfgXB3SZFr9Xp+LbqOsD9v8bc1+vDFzO97+e7vBqTK/8Yt244p3F7q9H25PUVmFBZUexuD526zrKoEmI5r3qdjTWE0EWw4GNkPejhzrsL5QD+uNn1QV8vFQiN715QqM/H2T03uJ3EsWz0Jt0dY2dOkh2PM+2OWjcXYGcg1kZOVh84ECz+t7XZ3Xli+hnIbBrrPpQD7aP1s1WOiqrqdFZD9EodAjKFoJoIOItBWRFAC3AHCaRU5EzgXwKawBUY7m/UYiUsP2d1MAfQDo8xS3GGCxKAx+ZwGmb9Tv4Xj78oodM4OV2MZ2F5XF3sM3zWbUX5ux+aB7ARzuPUWLMo/gmg8XOV5HbPy0y2b1KF+K/Zx39oCxmgiOFgb23CP7cyV0nWghChWhQG4Mv2XcUkxe4zz71c4cD/d2hdDD5urIyVKkDZ+C6bZx+xS7Oo+cgUvenK/b9oLPQ+Kzpf6GT5biivecG6p8TbSwas+xqMyq+dOq7Ijvw5dgg4eCkvCOSbBl4GqXZwf5m1Qonu8pihQGiJETdlCklKoA8BCAGQC2AJiklNokIqNExD6b3OsA6gL4yWXq7U4AMkRkHYC5AMYqpUwTFBWVV2LroRN4YtI6o5PilcWikF8U/9Mve7N233GkDZ+CbYf0f5YP4NxT1HHENFzuoTfJn437Pbd2+hJ0phhkRdvT5gtLK5ym/v7fT77Pa8etMSENyQh+nUhuq6LS4nWYGwCc+dx0v9tYtisPj05c63e5qluKQq8M2M/3CUuzQt5GsHbmnkRHTQuwpx7QQB09WYo/1iXGs9KKyyux64jzkLRwKqqRnGgBiO17PLxNtKCUwvUfL8HUDdFvJIjW4bLvp6wyuIkwfsoIL4jjlNxkJro8p0gpNVUp1VEpdbpSarTtvZFKqT9sfw9USjVznXpbKbVEKXWOUqqr7f8v9EiPkSwWhW+W7UFpRVXLcSxnGW/P2o6uo2bi6MnAWvIDNXdrDr5c7P3Be9sOnQir0hSoKbaH0AZzs38wtOVBWYUFWzz0JmkNeW8hLnlznv/t+v3c9Z6i8I5lIBWdK95biB6jZzter8v2/rRwpRSW7jwKIHItfbuPFIY8dS9gDfICvR/vnVk7cOf4FViyU9/pi30dm3AOm+vPuSE7X/dr3NXPq7KdKmTvzd4R8rb+NSEDj/ywRvfnb0WSnrlZRWVk8sZXp2/FVe8v8r+gB9rzsaLSgo3783VKlX7saVSwDkmcuzUnKuWML6Hkzf/8fHlQy2u/44xNzoHf45PW+iyLw/Wuh+vcXp4opdwmcwg2Wztqu5fto3k7Q0ofYO3J9zeywZcjJ0t9Noq5KquwwGJRMde7Gg2bDxQgbfgUrN3nvX4Qy3QJiqjKn+sP4LnJG/HurB1+pwcFgE/m7/Q7JaU/9s2XVVjw0bxMp4DMH/vwmqOFvmeA8efM56bhLc29TXd/tRIv/um502/zgQJc9s4CvD8n9EpTsPTKnJbtOorPNFNMB1vgbTpQgJ163Kgc4j1F3pafsemwx+VyCkqw/bC112HPUecHGvo6pn+uP4hP5lsLsWoSQvr8HNeyCgsGvDEPD32/2vs2bJuwD3tUSuHDuZnIPWENDs56fgY6j5wRUHp2H7X+ZkdsBXQkJzexX5Mi1sK8/+tzsTjTfzDmKbBdsvMoNh8owFUfLMKVIVaGtV74Y1PAgWGmp6GBAbKfa94qtAeOF+PDuZkx3WsRjnC+l68exo/n7cSGAIIZX/tXAN78ezuufH8Rho5bBqUU1mcfx+Q1+8NqpHDef+DLas8R7XefvSUHd3+1Eh/Pyww7Pe/N3oFrPlyMUV7KNL0tCuB61/IV+P26er/XshgILkjJyMpz2tecrZ7LDbsJS/fgpk+X4u/NvpfzZsfhExivQ0DX99U56DTSvTc/kOnls49ZHy1x5/gVTt99wfZc5HiZvr3jiGlo98xUTFiSBSByDePeyuCcghIcyndO29GTpRj152anSS5cKaXw+9r9WLXnWMhpenuWtR44ZsqWkLdhJAZFYcg9UYqvNBdscVml456IA8eL8fAPawD4ruCNnbYVz/y2Aa9O34odtspnWYUFr07fipN+HihpX95uwtIsvDZ9G84YMR07c09iwfZcFJVVIG34FHzkUjAUllZg0Fvzw76x3a6k3OK3ZfiskdPx8l+bcTC/GACwToeWhCMnS3HgeLHXz+0PKNTLLeOWYfTUqovdYstfBr2l3z0BgPX3OFFSjs8X7vJYQXF9x3WRikqLx4q0tymvT7gM17H3ePV8ZTYufXuBxzT6qnxpnwhf6HIej522Fd8s24O04VP8FqreVNgOvLbyYHGpGGTbpgS3Nzqs3Xccr8/Yhscn+R/C5qqqgUPhwPFi9HplTgipDsw3y/bY9inYlVuIPUeL8MxvGxz3IymlsOmAe8XW2zVsv+/iYH74vS5fLcnCrZ8tR0l5JUZM3oC04VMcPQauZ4On5JwsrfA6XPf53zcibfgUAFWNNL1emYN9eUW4/N2FyNIMMRv2TQZen7ENWUeL8Nua7JB7wfKLyh0tyPvyirAhO/Tej3DzUG2wGc6mtBUlb5U2n+nIPIK2T0/Fwh3OLePa693+my/ddRRP/LQOV3+wGI9OXIsuL8x0WmfdvuNOjWXDJmQ4fmNfgvn+xR4CMaWAXNs5kX3Me/ngvp7nPb/193as23c8pAr6qqzQK5gAkDZ8Cg77+R21+Xmw52GgDYYZWXm44ZOlTuX8PV9leE6PLQ325+F9vtD7s+oUgIP5xR4bmv79zSqn17+uzvbZ6KuUwmvTt7qN2LA3Zrl6Y+Y2r9uy6/vqXMff2kN1x/gVuObDxT7XPWDLc7U9Z9Ho/e4xZjYueMU6qqO0ohLztuXg+T82Yfzi3Zi1xfuomekbD+G/P67F9R8v8Ro87Tla6LPRxN4wEuwwzljBoCgMD36/Gi/8uRmZOSeQmXMCnUZOx1e2loHJaw9gztbAh2x9PG8nhn5m7TKflLEPH8/b6TfImLDUXnmy0k64cMmb83HH+BVYsN1a0H5jWxawVj7Oen6GIyCyO1xQoltLnyeFZZX4fNFuR4Zpn4qz0qLw4HercdzH8woqKi0Y+ftG5BSUIOdEVTrTX56F3mP9V1Azc056HO5x4HhxWK2y9vHU2mO55WABvlgUXOH5+9r9GDbBWtEDrL0b57wwEy9P2eLWbW+xKMeQAjsFhbIKC9KGT8EPK/ai/bPTcJuPIRjjF2U5dW97OwK+Do2nwtRiUZi1+bDTMV3pUin4ZP5OPDd5IwD/hSoAlFda3CoFFpdzqKCkHO2emeqSPucEltuGJPk6xwtLK5wCxJVZeSitqHRsa+uhE+g9do5uN2wH2kq752gRHp24Fqv25OHb5Xsx5L1FbpVWvaze678S99zkjfh2mTXY9Pask7zCMlwwZrZT402P0bPQddRMp95Wu681eZTWV0uysOVgAT5dUDV8pqjU+hvuP1aMxyauw/3frvK4LmAdOvjhXM+9BV1HzUSnkdPx3fI9uPC1ubjqg0WO4MQeLO0+UhjQvVkKCt8uc/4Oa/YeQ9rwKU6ttvnF5dhtC/C+0Wz3ji9WeNxueaUFr0zbEvC9n1s190/2GDPbrbHA1ZGTpU7n/K22fGPu1lxsPVTg1mDimif8urpq8hDXitA1Hy52KsdmBthj4CvfOVZY5pS/aB9R4akBUqmqyqk/r073X0kO1iM/rnF773hRmVse8vfmw15HjazbdxzLdx312kvr6Xi9MWNbQAGorzzo6MlSR4+v/aG2O3Ks55ev86rqflLr1pfvzsOqPd6fidTrlTkBDRl8fNI6PPy9+/EEgMycEygsq8RH83bixk+Weh3utl/TiLrfQ8C8MisPk9fsx6H8Erwyzbm3w7XMC6ahqaS8EmOmbkGP0bMDenj67iOFTo1OWUcKkWk79vbzvLisEoWlFVBKuV2ndqOnbMFdX67EX+utE37lnizFK1O3eOxd9Bd8L9t1FP1fn+fzPjR7PTRehw4mG52AeFZgy9QGvuW5Jd1OKWulfOBb8/HLA71wfpvG3pYEAJTaunTLKizIKShBjzGz8ck/z8Pgs5s7lhz+y3qntYrKKpxa5OzslYWD+SUoKClH/ZrVPVY+FBR6jpmN7mmNHO/9sGIvhvZo7fO7Ac6tkaUVlaiRnORz+eW7jzq9/mT+TkzZcBBTNhxE1tgh2H2kEA1rVUejOil46ud1KKuw4Kqup2HC0j2YsekQDheU4sIOTfHNvT09bv/rJVk467T6SE+rOs6TMrIxKSMbW18ajJrVrelbvfcYrvtoCW7t2Rpjrj0HAHDNB4uwLjsfd/RqgwlL92DEkE4+J2nwNETo+o+XoKisEpuCGHP/3x+dey8WaDJ01y7+9+bswC+rnTMle88SAIyZ6t5t7Zr9FZdX4h+aVi77/T9avgoxb75bvgfP/b4J7VLrOL2/PMiHBP62Zj9EgDNPrYfrP7ZOs7151GWonWLNsuzBaJK90N3lvv3dLjev29dxDdIW7aiqaJz30t8orbAga+wQbDt0Ajd+shR39mrjqDh8HOS49vnbc7Hj8AkM6tzM8d6xwjI0qpPicfmeY2Y5/lZQeOa3DU6f3zV+JU7Yet6yjhSiTeOq49zumaloWrcG/t2vHdo3qxtwGqdtOIgBZ57ieH3dR0vQrH4NTHnkQjStW8PxvvZ8cJ1ha+qGgx7H/B8qKMEXi3ajvFLh1p6tHAXm6Klb8K9+7TymZ89R59+tqsLnXsqWVVq3d7jAvaeopLwSRWWVuOoD67DBBwe0B2C97k+WVKBfx6rn3T3720bH35sPFOBWWwPV7w/2wc3jlqKk3IJbe7RGclI1fLV4N6pVE3RsVs9p+ObPq7IxYnLVdmZtPoz7JliD/gU7cnFTuvXJFVe9vwh784qwZdRgPKeZjr3Coq3oV12TOSdK8On8XThWWIbXbujq6ZABsN6nebLUvWI0f0culu/KwwpNvjtlvfOMqHeMX4Gx13XBa9OrHsw6d1sOxi/eja6tGuKDoVVPyvB3b0VZhQUi7r9WhsszxDqOmIZzWzX0uI1pPmZsPfelv/HkZWc4XluU9Zzp//o8x3vXfrQYF7RrYt3vnjy84iFP9OSnjKrn0C/ZeQS3frYcz1xxptflF2zPRb+Oqfh97X6vy3gKWOyP1dg15gpUs82M8S/buXJrT/cy16IUbh63DACQNXYIAKDt074Dng9cGgJOlJSjTop7lU/beGQfWmx30RvzcKKkAlljh6C03FoO7T9uLe9dG6G0lFLYmVvoNErg0/m7MO4O97qPvQfcdVY6pRSOe2h8mrn5MG7/YjnevKkrTqlXE/1fn+sYbvvOzd0c69453r2RIb+43Pl921f/dtkeNG9QE5d0auZ4rMMF7RpjmUu54uke0PJKC8orLcjMOYkuLT2fz0oB932d4RjZ8H+/rMfKrGOOel1+UTm+WpKFhy9uj9yTpaiwNS7aj8/ZLRrgojfmAaj6/QFgmK0nbeSVnTHqr81Y+NQANKlbVbaszz7u9lwxe4PkBe2aYMCZp+BkaQVyCkrQLtV/mWGv7zz1y3r0bt8EL/65GV1bNsBDF3cAAPy57oBj6F04ve5GYlAUhq0BzmimAAy0Da/6ccU+dGnZEBeMmY3b3DI/23SimqmMt9j28dr0bU5B0Y8rqzLvGRsP4YH+Hp9566TLCzOdChNPtBXGp3/d4BQUZeacRN0ayTi1gXUKzUU7jqBpvRQ8+F1VxeCMEdPRpkltx+tD+SU4VlTmVEm2D2mbbetJs/eO2A14Yx6a1k1BxohBmGRrkbiyi/VZBvbKz8IdR7x2yT//h7Wioc087M58bjpev6ELbkxvhczD1gv8++V7Mebac5BzogTrbBeyvRfuZT/jYncdKcTpLoWDveL36xrvBWUw8grL8MaMbfhgbiZuv6CNx5b8+dtz0ft0ayXgRIn7MIQ5W3PQrVVDr603v3lIqz0YsW/flXZTv6zKRqvGtR2FSLgPeFy155jbuObjReX4bMFu3NU7zel9pZRbhcvT9rSVE20r2cjfqyqy9gaJmZsOOQqc7YdPYuku96AxEPYCWBswnPvS35g47AL0bNfEEeDYaSv3izPd96ld/qW/tuC5SudnHB05Weo0vNPV1kMF2HKwANee2xKA9bg88N1qt4rY4YJSpL88Cy9efRbu7J2GikoLbvhkqadNAgD+8533e7uKyyvx+9oDbhXdtOFT8O9+7fD0FZ2cWm+1lVugKpj9YcVe/LBiL36+v5fjM/uQLm0PQVFZBWqnJOPmT5c6rmet6z5aAgDY/coVHtP7sybgu+7jJW4tqi/Y7s84tX5Np2E52sAKgCMgAqrOKwDYaxta6ukeB7vuo6uC4zdvtAZCkzKynYKiikoLbv1sOTo1r4cXrzkbl73juXHu7i9Xur333XLXHq3j+OcXy50qxfZGhXX7juPC1+biYk3g7EvHEdNQJyXJKcgD4HT+7DlaiLIKi9fGkoU7fN9To82vJq7cizFTtzp9XlJuwbxt1jxrZ25hwPdxavPH8bbeftdta90xfgXmP3mRW6OWlq9+undmbUfXVg1xSaeqRpO+r7qPfLj/W/frS5ufOf/teY/nvDATvzzQy+39Zba8rV/HVKeevDdnbnMqS56wzTYa6LB312nm7dt2LYO09ai04VPw5o1d0bVVQ8zcfAh5Xu51XrjjCIaOW4b3h57ndK+rvRer0MukCnmFZU4jUuxJsTdmaOsMrgGRPX0AnMqgDpoZN2c82g9nnFrP4761Q73t9SzX3/Wd2dsdv6U2GNeOPPHU+zdzs/U+1H3HivCt5tq++oPF6NO+icf02PPVO75YjtV7j7vVl7QBYLltpE7D2lUBV//X56HSovD35sP4dMEutG5cG5s0zw1zvf7jBYOiKNCOzbQo4NGJa3G0sAzvzXFuybFPpWq/eMYv3u0Yw7zrSKHXDOJoYRlemxFYt79rAGL3p5fpb+0X4NjrzsHwX62t1p/dkY6MrDx8ahsC4zoFrDaTuvWzZW7TzWoNm+B5+JTrGOD7PCznKWDR3tB539fulQHAGuw9+fN6XHZWM6f3tTOrBSPSsxvZjztgvd+ko4deAG+/q90Xi3bji0W78cSgjiGlwVOrW9bRIszYdAi9Tm/iKDAj6d1ZOzAxYx/enrUda0cOAmANEto+7b3F0m7E5I14bkgnx2vtkJ79Hu5JG6YZy74zgKEO/rheuzePW4b3h4b3nOpQxmwPfsd6f9E/urXAx/N3on7N6gDgddjO839scgwf8zakadRfvm8+/32tNW/xtP6nC3Y58hFvSl16Sm/4ZCnaNbU2stiDoX15Vb9h55EzkDV2iMeASCvXy31I2kqa9tpWgNOU+4eCuF9nZ85JHC8qc/R0BkN72HIKSlCtmqDH6FmOIaQrsvK8Dj30ZomHnmHXXgJXwQwHd62Uau8xBNwD32Bpe+h9BS3h8HXvhZan7/K/n9Y5Bdfe2OsA61+41PFeMPdA2d3zVVVZ98bM7XhjpucHumsbuuymbTyEaR6eZ/b+HO8TVLgG1a681VUAa8CqdcTlOgy0LNmZW+j2nCrXyYBcDXhjHhpreun/Wn8QH9xa9XmgMyrab5Nw9ee6A1i6030UQKA1BG0eaT+v9+QV4XM/w/HtAdyh/BKUuFx7J0s9B4j2fdl76NKGT8HjmvpBzzGzMWJIJ7RqXAvvzNrh1lChDb5PlFQ4BUTxTOJx9p709HSVkeG5Mh1NgYzXDUadlCR0adkw5FZpM3j3lm6OVrfM0Zc7Pfk6EB2b1cX2w8FXYifc0wN3eKj4m01SNTF8itpQ1a+ZjAJby+XdfdLw5eKsoNZ/5JIOjmDokjNPcfRUJqJbe7YOe9ZLIzWtW8OtMqX10jVnOQ1NA6ytu9rKzNf39PAY7EfSZWc18zrTozfXn9fSMVz2r4f7IvtYkceeg1iWklQtLm68TkmuFtCMZHoL5nq0DwHXu/4RDRedkerowYsV2nIhUu7t2zbo+4xD1bpxbUdvtC+f3ZGOi888xW2ki548jdYxgoisUkqlB7Qsg6LQaceykv5u6d7KaZggEREREYXviUEd8aaHe9H1Eo9BEWefC0O1eJ1eI04wICIiIiLSXyQDonjFoCgMjImIiIiIiOIfg6IwJDEqIiIiIiKKewyKwuD68FMiIiIiIoo/DIqIiIiIiCihMSgiIiIiIqKExqCIiIiIiIgSGoMiIiIiIiLSRevGtY1OQkh0CYpEZLCIbBORTBEZ7uHzGiIy0fb5chFJ03z2tO39bSJymR7pISIiIiKi6KsWp5Mzhx0UiUgSgA8BXA6gM4ChItLZZbF7ARxTSrUH8DaAV23rdgZwC4CzAAwG8JFte0REREREFGeqxekja/ToKeoBIFMptUspVQbgRwDXuCxzDYCvbX//DOASERHb+z8qpUqVUrsBZNq2R0REREREcSZOYyJdgqIWAPZpXmfb3vO4jFKqAkA+gCYBrgsAEJFhIpIhIhm5ubk6JJuIiIiIiPR0S/fWRichJHoERZ7iQRXgMoGsa31TqXFKqXSlVHpqamqQSSQiIiIiokhr2aiW0UkIiR5BUTaAVprXLQEc8LaMiCQDaAAgL8B1iYiIiIgoDiTy8LmVADqISFsRSYF14oQ/XJb5A8Cdtr9vADBHKaVs799im52uLYAOAFbokCYiIiIiIooyidOoKDncDSilKkTkIQAzACQBGK+U2iQiowBkKKX+APAFgG9EJBPWHqJbbOtuEpFJADYDqADwoFKqMtw0ERERERFR9KUkxedjUMMOigBAKTUVwFSX90Zq/i4BcKOXdUcDGK1HOoiIiIiIyDgXdmhqdBJCEp+hHBERERERxZykOH16K4OiMNSszsNHRERERGQXr/cUsVYfBuVx8nAiIiIiIoonDIrCcEevNkYngYiIiIiIwsSgKAzPXNHJ6CTElNsvCC1IvLdvW51TYh71augyFwpRSJrWrcsJywMAACAASURBVGF0EqIqOU7HwZMx1j1/qdFJICIdMSgKg4igZ9vGIa+/8tmBOqbGeKEOIX3uys5u7w2//MyA1//23p4+P4/00NbUevpVHHu1a+L0+rFBHd2WCWRWl9HXnq1bmgi4tWdro5MQtLZN64S9jTZNauuQEquBnZoFtNzyZy7x+tlFZ6Q6/o5EwJY55grdtvXq9ec4vU5JrobOzesDAH66vxe+urt7yNs+tX5Nx9/1azo3nGx68TL8+p/eIW/bl6yxQ9CkTkrAy1/d9TT88K8LIpKWYOl5LgPA5lGXoUGt6sgaO0TX7erJX9noz1VdT3Mqb244v2W4SYpJj1zc3ugkOPzxUB+jk+DgqW5mdgyKwjTh3h4BL9uyUS1se3mw47W/yvqqEQOx4MkBAKI3veFtQVb+zjy1Hvp1TPW/oM1jA50r+U3ruhewIsD9/U/3uZ1LO1dVsKoneT+QzerXwOYXB+O9oefitRu6OH12XuuGXtd75+ZumPFoP7d1PJn1eH/c27ctrj23hd9lPemR1hjX2dbVFjr39GmLu/ukuS3/5V3d8dP9vbDgyQH4xsv5d1vP0HrtHrmkg9t7W18ajMcGdsTCpwY43gt2kpEL2oXeeDDr8X6Ov3ukhbYde6F3TbfTnN5f/swl+PqeHnjysjPQ4ZS6butd2rkZ7uzVBnf1TnN6v2vLBk6vu7Xyfi6Fq66tt9DTd1/hIYCwB3Af3Hqu471v7u3h9PsF4tT6NfH8Vd4LxaE9gssrPr8zHTMe7Yef7+/l87pqpqnwu/rq7qrzvW6NpKD2b3f7BW3w1OAz3Cqz9tdbXxrsabWg3dy9NbLGDsFHt50HALjkzFPw5k1dcWnnZujWqiEuOuMUr+t+evv5GNavHQCgTor79+zdvglu69kab93UFXf0SnP6rE6NZJzXuhHWjfTci/HXw33x8j+cG01cf+e0JrUxcdgFOK1B1W+x7GnrubbquUE4v00jr2nXurrraeh1ehP/C4YomIDk1ev95+Wu7ujVBrWqOx//1Ho1MO9/F6F2Sui9+D/d3wstG9Vye//dW7rhmSvORLP6+gT8tVKSMP6udJ/LnHlqPY/vd2vVEI8P6oiHL64qEwI9hp5+l4cGVAUe6ZrzJ5SRIhefeQoeHeheVoXq8UvPcHvP03XnyrVe9sJVnfH9fT3xxZ2+jzngvczo0tL9/e/u64ndr1yBvx/r52GNKvVqJCNr7BCnfCcc9/Zt66ibBOKj287DjEf74bcINcpEA4OiMNVIrrpwXC/Sdql1MOWRvo4hUDMf64cayUkY2qMVAKB2SpKjwuPqy7u7o0ndGmjdpDZ2jL4cX9/dA5P+3cvxub+g4af7e2HGo/3Q3FaoPTXY/aL35NGBHfHz/db9nNu6IRb9n+eKlH27aU3qOAKp1o2dW+K+vLs7Zj/R36miXSvF+ZRb+rR7pW7Kwxc6va5ZvRpmPd4fH9x6LpYMvxgzHu2HcXdYM50uLRugiYfAyu6s0xqgVkoSru56Gm5Kb4WtLw3G44M6YunTF+P7f13gNPxB2zv1j3Nb4IxT6+Gm9FZet/3LA72QNXYIGtSqjueu7Iy3b+6G7mneKws3pbu3si14cgB+GHYBPM3Z0bxBTYiIW9CZnFQN3dMao3WT2riwQypmP9EfANyCsjXPDfL43QBg6iMXOio87U+pi/PbNMJfD/f1GOzUrJ6E/w7sgIa1qwOwFgQCayD68/298P7Qc/HkZWfgsrO89wTUr1nd62f+tD+lHr64Mx3Ln7kEt/Tw/nsA1t6DKY/0dXv/AlvFrIemZ3fmY/3QrH5N9O+YigcHtMc9HgrncXek48VrzkbbpnXQp30TPDqwA96+uSt+eaAq0//y7u4BBc8A8Ot/emP8XelIb9MIi4df7Hf5mtWrYe3IQcgaOwST7q+6/kdfezYWD78YNT0U3GOuPQdZY4egXVNrkNeodnVc2CEVrRrXxoInB2D7y5c7La+tgM1/8iI8OrADVj47EMueuQRdWjb0WGl588auGHPt2fjuvp6OyjsA7NL0tHx4q7VQvrrracgcbd3nGafWQ3paY9yU3gqvXd8FV3V1DlK1Tk+tg6yxQ1Aj2XpObhnlHKxMuMe9FfwJTc9qOy89Zf+6sB3+c5Fzy7B26G/N6u7HNNgAUMt+zt3bty06Na+PcXeko7qHBxtqh+5VTxJHpfnO3mlOAS5gvQZHX3sOrjuvJXq3rwo6Lj/7VMffDWpXR/2ayWhWv4ZTQHx2iwb45wVt0KBW1TXp2ov35k3d0LNdE7x+Y1cA1oaqUzUB0nf39XQa6eCpRyK5mqC77bv/8kBvrHx2oFtlWdu4ZW8ADMS/+7VzO3d2jK46r7VlJQDc1TvNa0/RPX2s57drgx1gDdC7uDSA3JzeCmku59aXXnr9rj/Pc89K97TGmPFoPyx7+hKnIdLXdGuBYf1Ox/Jnqo6tpwBjxJBOuO68Fphwj7WRwFMA/PxVnXFe64a4+MxmmP/kRU6fdW3ZAO8NPRcZIwY6AuTP73CuyE9+sA/aNq2Djs2s+cjHt52HpGriaDzyFpCe6qVR43+XVdVBrj2vqqx65opOjkr0C1d1xtO2suof3U5Di4a10Kh21Xm6/eXLkTn6coy/qzse0QRr5/po4NQGtd/f536e3tLdc5mSMWIQ/nq4r+P88OTdW5yvy7v6tEXv9k1xSadmTsdn/F3pGHf7+Y7Xm168DJMf7OMIYLyx1yfq1EiGiKCxrZe2Z9vG+M9FznXAdc9fig0vXuZ4fcU5zTHHVjcAgBrJ1ZA1dojT8QzEfwY47+f7f/XEtpcH48ouzZ3eH33t2bjinOY449R6OLd1YI0msYg3LOjIYrFWbevWSMacJ/rjFFvm8PMDvTFlw0FHy9Koa87GY4M6onZKMlY+OxCr9hzDP79YDsBaoXEdqmMvQHu4DNXb/vLl2HesCJe8OV+zrODT289Hd1ur8ozH+qGwtALNG9RCt1YNcetnyx3LzvvfRbjojXlO20ytVwNN66bgsYEdMbRnK5xSryYmP9gHr0zdggn39sAZI6YDAEZe2RkPfLcagLVg++beHuhzelN8u2wPso4WYVDnZrioYypEBI8P6ojVe45hUeYRANZeg2W78pz2O+eJ/rjY9j06n2YdYrLgyQHo9/pc1KqehPan1EV7l5b8qY9ciJaNa6F+zeqY9O9emLx2P75fvte6jeb1sflgAUYMcb7vq2b1JKcgrWb1JDStm4JBnZvh/v6no/fpTVBWYYE/maMvR7KHis0bN3ZF/9fn4bpzW+DXNfsd7//3kg6osLhvt7WtoFa2qQxFrK2F//1xreP7PtD/dCzJPIIKi0JKsvs+T0+ti/UvXIp6NZLx25r9jvOkUZ0UrB05CMlJ1VC3RjLGTtsKABh73TnofFp9fHp7Oq76YBFqVq/mqOTP357rtO0fh1UNfalXszp+eaA3zji1HnqMngUAOLN5faTbzrWKSgtG/bUZ67LzsW7fcQDWIURnndYA2ceKMXPzYQDWcyz3RCma1a+BwwWlvg+0zSW2Stu157ZAmya10aZJHaS/PMtpmSu7NMc9fdvirNMaYOnTF6PXK3MAAEufvhjNG9TC34/1Q/tT6uKCdk1Qr0ay4/q0u/68lnj61w0AgCFdmmPmpkOOz6onVcN39zkPA/pHt9Mwee0BpNatgUBuRfnr4b44u4W1gnXxmdbv065pHew6Uuh1nfeHnufxPGtYKwUtGtZCQUk5AGsL4YnSCqdlaqUk4anBZ+DSzlUV5dYuFUN7gfzurB1o3rAm2jSpg0ddKocjhnRCl5YNkFRNULdGMprVr4lOtmFgfdo3RZ/2TTFuwS4AQDXNgRjSpTmGdPFe4N/UvRVu6t4K7w+1VizWZx/H3rwiAMDakYMcDU6/P9QHs7fkoJZLAOj6XQDg4Us64KslWThaWIYpj1yIyWv3o1/HVLw3awcmZuwDADStV9WI0qROCo4WluEhl+EzPds2xvLd1jxq86jLUDslGT+s2Ou0TM3q1VBSXnVNn9OiATbszwfg3OPatG4NrxWf0deejWd/2wgAmPfkRej76lwA1sClb/tU5BSU4j8DTkftlGRcdtapqKhUKKuwoIG2YuNjFtS1tspyNQ8nqHakQiuXBq3TGlqvjT7tm+KLO9PdWrVrVk9CzepJWPr0xVi95zj6ehjJoB2KqO1ZWjfyUvy0ah/u7dsWIoK04VOQklTN4+858srOqFczGU/+vN7p/ac93M9bPakaNrxwKbKPFaNT8/r4+f5eeOj7NThUUILuaY3RvEEtx+/6v0s74vvle3EgvwT/u6wjurVuiKu6NMd5bRri9i9WALCO7Ph3v3a4vVcb/LH2AEZMtv5OvT30fA3w0Os35tpzUFZRiV9Wu30EwFrRrVMj2eNvA1h75tZlW/PRVSMGotKiMCljH+7u0xZ1NIGU/dwack5zTNlwEADw50N9cY4mmLNe1x3wzqwdeGrwGXig/+mOKZO15+dr13fBU784H+uGtVOczt9f/9Mbxwqt+U7jOinIKyxzWt61IfWvh/u6XbvamXuTqgnObd0Ia0cOQsPaKfh43k4A1oB08fCLMW9bDu76ciUAOJV/2uP223/6IKegBD3GzHY7jvOevAgfzs3EpgMF6N3e/Ty1P09n4VMDcOFrcx3v10pJwtktGuDsFg0wa8th7M0rws4xV0AAtHtmquP7/3x/L9zwyVK37QLWkQhlFRbH9bXwqQFYtuuo0+8HWAOaT+fvRH5xudP7X97dAzM3HXJcf03q1sDKZweicZ0UJFUTdE9rjI378zF7a47HBnZt1mDPZ1c/NwhvztyOD+Zm4tT6NXGooMRj2u3b0zb8A9brrEZyEs5t3Qh/rT/oeH9o9/gbYu4JgyIdTH/0Qrz993Zcd15LvDcnE69e38WpwnXGqfVwhqaLunpSNZxSz/p5rZQk9O3Q1JEh+PPPC1rj22V70aNtI6QkV8PpqXUdXbX3fp2BXx/o45QZ1q9Z3dFK3/v0pk4XflrTOpj0714oKqvA6al1UVxeif9v796jo6jyPIB/fwl58AgJCYREyDQQwQioEQKioggoRtyRGY9nwfXB6q6Ojo666towuq4y6+js7viY1zq+UGYcZR119cRhFAMj+ACMihDkkYBBhBCCkAAJef/2j7rdVD+TTr8S8v2cU6erqqu6b//q9q2+de+tBqyxUnfaWr0K8zKw3OvK2xBzxeJ7WQMgIrhgrNWa8dot52H7/qM+J8m754zDh5UHMWNcNm6+MB9nL3kP6f2T3BW+McN8uy6NGNIfU0dnejS727kqT4BVYZw6OhN/Wv8N8ocNxIs3TMHfdtT6fV1vZQ+caFEJ1HRdsmkfXtmwB+/cMR1DB6X4/aEKWCcf1wnEu1L0y5XbA6bBVXiJWFcLJ45IR75J+7n5Waj8+VxU1Bz1/DFk4zrGq++9CNm2MU7+8tQCc9XbdeV37hm5PtsAVle+aV5jnFw/blynI7Wd3folJmDJvIkeJ6f5pqB0VQYA6yruKxu+weLLCtw/igCr0P78m8NY+lEVZhVk46dzC7C24qDH+4sIJjv8d6H7zT+c6C6Qm97fZ37scOs7mB8gTyT3S4AjawAON7S4WzmCeeSHZ2DOhBxMHJGO/fXWieXKSSPwxufWcXcWF+DdLfuRm56KFeX7/baWrbr3Ipz7aCmq65vwk1mnov54K4YOSsFZeRlY+MIGny5z84vysLxsj0+LayDeLSIur996Lr74ps69fGeQrigignmFXe9CIdK9vys4c2SG+/tnz7cFOYNRkDPY7z63zMjH0x/s9Fj3ma2F1NXC8+D3x2N52R44iws8uj09Pr8QT72/w2d80tIbpqD2aDMcWYHHZW1dUoyq7xrx0sdVWFtRi7duOx8NLW1IEPH50RPINec4cP+b5RiYnIiRQwZg1T0zMDCln/v8YL+6npSYgKRE+PzAhO03tXcPAu8f3DP8dHV2tSKtvW8msgYlo7VdPVqRZgcZC5ab3h+Xn2l9v9788XkYlpaC6vombP62PuA+6QOS8M8XnGhd/NA50+OYFOZl4JYZYzAsLdVd3hxrbkNBzmBc/ew6PH3tZJ/XdElLTcLpuVbai0ZlojAvA3/dst9dAXS1Ak44JR1r7puJI01tGJDcD1eYVqcLxg7D8punYf4z6/DcwiL0S0zA4MQEXDohBw/8Xzlum5nv94c1APxoxhj8/oNd7uUpo4agw+t7cN00h0+Zmt4/CfXHW3G31/jRnPRU5KRbFzSyTP68fVbg7+lvr5mEdxa9g1PSUz1+A7jcdfE4TB2diXNGZwX8D5m5Z+bivtc3Be1ZkpaahLQgLf/e50Z72X/ZxBysKN8PBVB6zwxs33/U/ZzrO6+us6FJoqub6XQ/cbdX1rIHp+Lt28/HuOFpSE1KRNXBBvRPTsTwwalYMs+zu2jWwGTMGDcMb3yx153H8jIHoOqxy93nI7uSO6ajvrHV7x+SFgXp0u3dFTgvc4DPBQjAygP3FZ/ozXHTBaNxyfgcDErphyu9WhvtY5hnFmRjZkE2fuKn27vdmKEDMWeClZdExH0Rb8HUPHz/rFOQnZaCtNQkNDS3YeVXNbhr+UbcMftUd5qfWlCIX5VWYGdtg7u4ufj0bPys5CucNjwN/3LJuICV+15HVXvdNHnyZO3LDjc0d3vfPYca1OEsUYezpFv7n/bAX9z7vv/Vfm1ube92WrxV1BzR8r11Yb3G57sP6aFj3Y9PJK3dUasOZ4me92ipqqp++vV37th7H4NX1u9Wh7NEN38b3ucPxt9xP9bUqh0dHe7lbdVH1OEs0d+trtTjLW0BX+s3qyrU4SzRljb/x9/fey37+GvdVn2k022/PdwY8HX97ffqht26YvM+n+drjhzX6rrjnb6OXUdHh0c8QrFpT50eb2nz+TyNzW26ftd3AfdzxXLv4cZO3+NoU6s+u2anO43t7R163fPrdc2OA2F9r8PlcJbo+H9boaqqO/Yf0ZfX7Y7qe03/Ral7ubHZN+bRel9/391wfbWvXmuOhJZP7draO/Tf3yrXfXXB88/Bo03a1HriO33Ww++qw1nSY8pLVdXdBxv0WFNrSPtMePCvAY/Hzcs+VYezRP+yySofFr6wXh3OEi3duj/ktNU1tmh7e+CyobWt3Z03Hn57i8e2wfLMWxv3qsNZog3NoX1uf3YfbNC6xpawXiOU8u/sJe+pw1mij7+3XW9cusHjM9YcOa7feeWtFZur1eEs0Y3fHA74ms+u2el+TZe9hxuDno9CUdfY4n4tf+eHjypq9Ysg6VNV/eO6Kp38s/c89lm9rSYi6Yukipqj6nCW6Mz/Wu2x/r/f3aYOZ4k+uXKHzz4dHR26YvM+bfPK61c/84k6nCVaVnUomkmOCgBl2sX6BVuKeqGutCgFkp2WihEZ/YMOoA5m3eLZ2FdnXRUPdgWxO07N9j/gMxQ9qS/r9LFDPa5kFY3KRNVjl2POEx9gR80xj65986fkYVZBtk+Xrki66YLRPl0Qva9on5aT1qXBy7fNPBW3BWjBA4Cnr52EZq9uiNd5DQgPZESG7wDkYOYHaLZ3XW0PRTj/wu3v6ixgXdn37vpqd+uMfFw99Xvu/uLBDErp53GVPSFB3OMKgnWFiLYNP52NFHMVfuzwNHerXDR8vGgW0mx3XOufnIjHrjyjS63C4fjRhWOQNSgZDc3teKq0ImKv6+qK2F2JCYKHrpjQ6XZZXq1hzy8swtKPqjxaheLNXxe6zrx/9wx3t0tvrhZL19davNaHorM42VtIHgzh/HrFWae4W6rC1Z34eQulDHRtee00BzIGJKHJ9DYB/Je/xRNzUP7wpQHHUgPAdec6UH+8FbfaxsycEuI5IRj7cbSPk3MJ1BJod805Do+bGXVln/jwbHVzOS9/KH69qtLvTVBEBMUTfXuPPDG/EMs+qcLZUbypUE8g2p3SIc6Kioq0rKws3skg6paWtg50qPod0N0XuborhHpr27UVtcgZnBrVH+DdUXWwAYcbW2JeQW9qbUd7h3a56xbRyW7lVzW4aVkZPnTOxMghA3Dji59i1bYDeO76Ilw8PrIX9QDgnJ9b4xztN0oAgB01R5Eg4nNRqrd7dMVW/P6DXdi6pNi3WyfFXeWBo7j48TXIHzYQpfdc5PFca3uH3xu+nIxE5DNV7fyWgOCYIqKY83ezhL6sICcN150b+i3EXePYeppRQwdiFML/j6BQsZJN5OmS8Z53AXPdXdPf2JBI8K4MuYzrYRduIsV5aQHumj2OFaIeyjVW0ntcEoA+UyEKFVuKiIiI6KR3qKEFz63dhXvmnBa1ihFRT9LU2o6UfglhdQ3v7dhSRERERGSTOTDZ4y5fRCc79iAITVjtZyKSKSIrRaTCPPp0oheRQhH5RES2iMgmEZlve+5FEflaRDaaqTCc9BAREREREYUq3E6FiwCUqupYAKVm2VsjgOtVdQKAYgBPioj99hX/qqqFZtoYZnqIiIiIiIhCEm6laB6Al8z8SwB+4L2Bqu5Q1Qozvw/AAQA9c4Q0ERERERH1OeFWioarajUAmMfsYBuLyFQAyQDsf0H+iOlW94SIpATYFSJys4iUiUhZbW1tmMkmIiIiIiKydFopEpH3RaTczzQvlDcSkVwAfwBwg6q6/tVxMYACAFMAZAJwBtpfVZ9R1SJVLRo2jA1NREREREQUGZ3efU5V/d94H4CI1IhIrqpWm0rPgQDbDQbwDoAHVHWd7bWrzWyziCwFcG9IqSciIiIiIgpTuN3n3gaw0MwvBPCW9wYikgzgTQDLVPU1r+dyzaPAGo9UHmZ6iIiIiIiIQhJupegxAJeISAWAS8wyRKRIRJ4z2/w9gAsB/KOfW2+/LCKbAWwGMBTAf4SZHiIiIiIiopCIqsY7DSETkVoAu+OcjKEADsY5DX0NYx5bjHfsMeaxxXjHHmMeW4x37DHmsdVZvB2q2qWbEfTKSlFPICJlqloU73T0JYx5bDHesceYxxbjHXuMeWwx3rHHmMdWJOMdbvc5IiIiIiKiXo2VIiIiIiIi6tNYKeq+Z+KdgD6IMY8txjv2GPPYYrxjjzGPLcY79hjz2IpYvDmmiIiIiIiI+jS2FBERERERUZ/GShEREREREfVprBR1g4gUi8h2EakUkUXxTs/JQkSqRGSz+YPfMrMuU0RWikiFeRxi1ouI/Mocg00iMim+qe8dROQFETkgIuW2dSHHWEQWmu0rRGRhPD5LbxAg3g+JyF7bn1nPtT232MR7u4hcalvPMqcLRCRPRFaLyFYR2SIid5r1zONREiTmzOdRICKpIrJBRL408X7YrB8tIutNfl0uIslmfYpZrjTPj7K9lt/jQJ6CxPxFEfnalscLzXqWKxEgIoki8oWIlJjl6OdxVeUUwgQgEcBOAGMAJAP4EsD4eKfrZJgAVAEY6rXuPwEsMvOLAPzCzM8FsAKAAJgGYH28098bJgAXApgEoLy7MQaQCWCXeRxi5ofE+7P1xClAvB8CcK+fbceb8iQFwGhTziSyzAkp3rkAJpn5NAA7TFyZx2Mfc+bz6MRbAAwy80kA1pu8+78AFpj1TwO41cz/GMDTZn4BgOXBjkO8P19PnILE/EUAV/nZnuVKZOJ+N4A/ASgxy1HP42wpCt1UAJWquktVWwC8CmBenNN0MpsH4CUz/xKAH9jWL1PLOgAZIpIbjwT2Jqq6BsAhr9WhxvhSACtV9ZCqHgawEkBx9FPf+wSIdyDzALyqqs2q+jWASljlDcucLlLValX93MwfBbAVwAgwj0dNkJgHwnweBpNXj5nFJDMpgFkA/mzWe+dxV97/M4DZIiIIfBzIS5CYB8JyJUwiMhLA5QCeM8uCGORxVopCNwLAHtvytwh+AqCuUwDvichnInKzWTdcVasB6+QLINus53GInFBjzNiH73bTreIFV1cuMN4RZbpQnA3rqi7zeAx4xRxgPo8K061oI4ADsH5Y7wRQp6ptZhN77NxxNc/XA8gC4x0S75irqiuPP2Ly+BMikmLWMY+H70kA9wHoMMtZiEEeZ6UodOJnHe9rHhnnq+okAJcBuE1ELgyyLY9D9AWKMWMfnv8BkA+gEEA1gF+a9Yx3hIjIIACvA7hLVY8E29TPOsa8G/zEnPk8SlS1XVULAYyEdeX7dH+bmUfGOwK8Yy4iEwEsBlAAYAqsLnFOszljHgYR+TsAB1T1M/tqP5tGPI+zUhS6bwHk2ZZHAtgXp7ScVFR1n3k8AOBNWIV9jatbnHk8YDbncYicUGPM2IdBVWvMCbYDwLM40ZzPeEeAiCTB+nH+sqq+YVYzj0eRv5gzn0efqtYB+BuscSsZItLPPGWPnTuu5vl0WF16Ge9usMW82HQdVVVtBrAUzOORcj6AK0SkClY32lmwWo6insdZKQrdpwDGmrtgJMMa1PV2nNPU64nIQBFJc80DmAOgHFZsXXdoWQjgLTP/NoDrzV1epgGod3WPoZCFGuN3AcwRkSGmS8wcs466wGvs2w9h5XPAivcCcyed0QDGAtgAljldZvqRPw9gq6o+bnuKeTxKAsWc+Tw6RGSYiGSY+f4ALoY1jms1gKvMZt553JX3rwKwSq1R6IGOA3kJEPNttgstAmt8iz2Ps1zpJlVdrKojVXUUrHJglapeg1jk8WB3YeAU8I4Yc2HdYWcngPvjnZ6TYYJ1x6EvzbTFFVdY/UJLAVSYx0yzXgD81hyDzQCK4v0ZesME4BVYXVlaYV1F+afuxBjAjbAGLVYCuCHen6unTgHi/QcTz02m0M61bX+/ifd2AJfZ1rPM6Vq8p8PqHrEJwEYzzWUej0vMmc+jE+8zAXxh4loO4EGzfgysH3yVAF4DkGLWp5rlSvP8mM6OA6cux3yVyePlAP6IE3eoY7kSudhfhBN3n4t6HhezExERERERUZ/E7nNERERERNSnsVJERERERER9ATXKAwAAADZJREFUGitFRERERETUp7FSREREREREfRorRURERERE1KexUkRERERERH0aK0VERERERNSn/T/HyavFAr2uZwAAAABJRU5ErkJggg==\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from matplotlib import pyplot as plt\n",
"%matplotlib inline\n",
"\n",
"# plot raw and corrected ROI trace\n",
"plt.figure(figsize=(14,4))\n",
"plt.title(\"Raw Fluorescence Trace\")\n",
"plt.plot(time, raw_traces[0])\n",
"plt.show()\n",
"\n",
"plt.figure(figsize=(14,4))\n",
"plt.title(\"Demixed Fluorescence Trace\")\n",
"plt.plot(time, demixed_traces[0])\n",
"plt.show()\n",
"\n",
"plt.figure(figsize=(14,4))\n",
"plt.title(\"Neuropil-corrected Fluorescence Trace\")\n",
"plt.plot(time, corrected_traces[0])\n",
"plt.show()\n",
"\n",
"plt.figure(figsize=(14,4))\n",
"plt.title(\"dF/F Trace\")\n",
"# warning: dF/F can occasionally be one element longer or shorter \n",
"# than the time stamps for the original traces.\n",
"plt.plot(time[:len(dff_traces[0])], dff_traces[0])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## ROI Masks\n",
"If you want to take a look at the cell visually, you can open the NWB file and extract a pixel mask. You can also pull out the maximum intensity projection of the movie for context."
]
},
{
"cell_type": "code",
"execution_count": 17,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"%matplotlib inline\n",
"\n",
"data_set = boc.get_ophys_experiment_data(510221121)\n",
"\n",
"# get the specimen IDs for a few cells\n",
"cids = data_set.get_cell_specimen_ids()[:15:5]\n",
"\n",
"# get masks for specific cells\n",
"roi_mask_list = data_set.get_roi_mask(cell_specimen_ids=cids)\n",
"\n",
"# plot each mask\n",
"f, axes = plt.subplots(1, len(cids)+2, figsize=(15, 3))\n",
"for ax, roi_mask, cid in zip(axes[:-2], roi_mask_list, cids):\n",
" ax.imshow(roi_mask.get_mask_plane(), cmap='gray')\n",
" ax.set_title('cell %d' % cid)\n",
"\n",
"# make a mask of all ROIs in the experiment \n",
"all_roi_masks = data_set.get_roi_mask_array()\n",
"combined_mask = all_roi_masks.max(axis=0)\n",
"\n",
"axes[-2].imshow(combined_mask, cmap='gray')\n",
"axes[-2].set_title('all ROIs')\n",
"\n",
"# show the movie max projection\n",
"max_projection = data_set.get_max_projection()\n",
"axes[-1].imshow(max_projection, cmap='gray')\n",
"axes[-1].set_title('max projection')\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## ROI Analysis\n",
"The code to compute all of the cell metrics available for download (along with several others we haven't put in our database yet) is in the AllenSDK. All you need is an NWB file. For example, this is how you compute metrics for the drifting gratings stimulus and plot some results."
]
},
{
"cell_type": "code",
"execution_count": 18,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/local1/anaconda3/envs/py2/lib/python2.7/site-packages/pandas/core/indexing.py:194: SettingWithCopyWarning: \n",
"A value is trying to be set on a copy of a slice from a DataFrame\n",
"\n",
"See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
" self._setitem_with_indexer(indexer, value)\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"done analyzing drifting gratings\n"
]
}
],
"source": [
"from allensdk.brain_observatory.drifting_gratings import DriftingGratings\n",
"\n",
"# example loading drifing grating data\n",
"data_set = boc.get_ophys_experiment_data(512326618)\n",
"dg = DriftingGratings(data_set)\n",
"dg_peak = dg.peak\n",
"print(\"done analyzing drifting gratings\")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import numpy as np\n",
"from matplotlib import pyplot as plt\n",
"%matplotlib inline\n",
"\n",
"# filter for visually responding, selective cells\n",
"vis_cells = (dg_peak.ptest_dg < 0.05) & (dg_peak.peak_dff_dg > 3)\n",
"osi_cells = vis_cells & (dg_peak.osi_dg > 0.5) & (dg_peak.osi_dg <= 1.5)\n",
"dsi_cells = vis_cells & (dg_peak.dsi_dg > 0.5) & (dg_peak.dsi_dg <= 1.5)\n",
"\n",
"# 2-d tf vs. ori histogram\n",
"# tfval = 0 is used for the blank sweep, so we are ignoring it here\n",
"os = np.zeros((len(dg.orivals), len(dg.tfvals)-1))\n",
"ds = np.zeros((len(dg.orivals), len(dg.tfvals)-1))\n",
"\n",
"for i,trial in dg_peak[osi_cells].iterrows():\n",
" os[trial.ori_dg, trial.tf_dg-1] += 1\n",
" \n",
"for i,trial in dg_peak[dsi_cells].iterrows():\n",
" ds[trial.ori_dg, trial.tf_dg-1] += 1\n",
"\n",
"max_count = max(os.max(), ds.max())\n",
"\n",
"fig, (ax1, ax2) = plt.subplots(1,2)\n",
"\n",
"# plot direction selectivity\n",
"im = ax1.imshow(ds, clim=[0,max_count], cmap='hot', interpolation='nearest')\n",
"ax1.set_xlabel('temporal frequency')\n",
"ax1.set_ylabel('direction')\n",
"ax1.set_xticks(np.arange(len(dg.tfvals)-1))\n",
"ax1.set_xticklabels(dg.tfvals[1:])\n",
"ax1.set_yticks(np.arange(len(dg.orivals)))\n",
"ax1.set_yticklabels(dg.orivals)\n",
"ax1.set_title('direction selective cells')\n",
"\n",
"# plot orientation selectivity\n",
"im = ax2.imshow(os, clim=[0,max_count], cmap='hot', interpolation='nearest')\n",
"ax2.set_xlabel('temporal frequency')\n",
"ax2.set_ylabel('orientation')\n",
"ax2.set_xticks(np.arange(len(dg.tfvals)-1))\n",
"ax2.set_xticklabels(dg.tfvals[1:])\n",
"ax2.set_yticks(np.arange(len(dg.orivals)))\n",
"ax2.set_yticklabels(dg.orivals)\n",
"ax2.set_title('orientation selective cells')\n",
"\n",
"# plot a colorbar\n",
"fig.subplots_adjust(right=0.9)\n",
"cbar_ax = fig.add_axes([0.95, 0.05, 0.05, 0.85])\n",
"cbar = fig.colorbar(im, cax=cbar_ax)\n",
"cbar.set_ticks(np.arange(0, max_count, 2)+0.5)\n",
"cbar.set_ticklabels(np.arange(0, max_count, 2, dtype=int))\n",
"\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Neuropil Correction\n",
"All of the raw fluorescence traces are available in NWB files, but some of these signals are contaminated by nearby neuropil signal. Neuropil correction is performed after the signal from overlapping traces has been demixed. The code to perform neuropil correction is available in the AllenSDK and can be used as follows:"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"r = 0.142000\n",
"max error = 0.005002\n"
]
}
],
"source": [
"from allensdk.brain_observatory.r_neuropil import estimate_contamination_ratios\n",
"\n",
"data_set = boc.get_ophys_experiment_data(569407590)\n",
"csid = data_set.get_cell_specimen_ids()[0]\n",
"\n",
"time, demixed_traces = data_set.get_demixed_traces(cell_specimen_ids=[csid])\n",
"_, neuropil_traces = data_set.get_neuropil_traces(cell_specimen_ids=[csid])\n",
"\n",
"results = estimate_contamination_ratios(demixed_traces[0], neuropil_traces[0])\n",
"correction = demixed_traces[0] - results['r'] * neuropil_traces[0]\n",
"print(\"r = %f\" % results['r'])\n",
"print(\"max error = %f\" % results['err'])"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"The NWB files contain the neuropil traces and `r` values needed to perform this correction, so you don't need to recompute them. The corrected trace can be computed on the fly when you use the `get_corrected_fluorescence_traces` method:"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"_, corrected_traces = data_set.get_corrected_fluorescence_traces(cell_specimen_ids=[csid])\n",
"\n",
"plt.figure(figsize=(14,4))\n",
"plt.title(\"Neuropil-corrected Fluorescence Trace\")\n",
"plt.plot(time, corrected_traces[0])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Compute dF/F\n",
"You can compute dF/F for yourself using the `allensdk.brain_observatory.dff` module."
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/local1/git/allensdk/allensdk/brain_observatory/dff.py:419: FutureWarning: The default computation for dff has been changed. Use `calculate_dff` to compute dff now.\n",
" FutureWarning(\"The default computation for dff has been changed. Use\"\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from allensdk.brain_observatory.dff import compute_dff\n",
"\n",
"plt.figure(figsize=(14,4))\n",
"plt.title(\"dF/F Trace\")\n",
"dff = compute_dff(np.array(corrected_traces))\n",
"plt.plot(time, dff[0,:])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Running Speed\n",
"We recorded the animal's running speed during the course of the experiment and made it available in the NWB file."
]
},
{
"cell_type": "code",
"execution_count": 23,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING:allensdk.api.queries.brain_observatory_api:Downloading ophys_experiment 501940850 NWB. This can take some time.\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from matplotlib import pyplot as plt\n",
"%matplotlib inline\n",
"\n",
"data_set = boc.get_ophys_experiment_data(501940850)\n",
"\n",
"dxcm, dxtime = data_set.get_running_speed()\n",
"plt.figure(figsize=(14,4))\n",
"plt.plot(dxtime, dxcm)\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Motion Correction\n",
"X and Y translation values in pixels required to correct for motion artifacts during the experiment are available as well."
]
},
{
"cell_type": "code",
"execution_count": 24,
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from matplotlib import pyplot as plt\n",
"%matplotlib inline\n",
"\n",
"data_set = boc.get_ophys_experiment_data(501940850)\n",
"\n",
"mc = data_set.get_motion_correction()\n",
"\n",
"plt.figure(figsize=(14,4))\n",
"plt.plot(mc.timestamp, mc.x_motion)\n",
"plt.plot(mc.timestamp, mc.y_motion)\n",
"plt.legend(['x motion','y motion'])\n",
"plt.show()"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
"## Eye Tracking\n",
"Many experiments contain pupil position and pupil size from eye tracking. Extreme outliers from the tracking have been removed and replaced with NaN, which will appear as gaps in the plotted data. If an experiment does not have eye tracking data, a NoEyeTrackingException will be raised."
]
},
{
"cell_type": "code",
"execution_count": 25,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"No eye tracking for experiment 501940850.\n"
]
},
{
"data": {
"image/png": 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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
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\n",
"text/plain": [
""
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"from allensdk.brain_observatory.brain_observatory_exceptions import NoEyeTrackingException\n",
"from matplotlib import pyplot as plt\n",
"%matplotlib inline\n",
"\n",
"# example with no eye tracking data\n",
"data_set = boc.get_ophys_experiment_data(501940850)\n",
"try:\n",
" timestamps, locations = data_set.get_pupil_location()\n",
"except NoEyeTrackingException:\n",
" print(\"No eye tracking for experiment %s.\" % data_set.get_metadata()[\"ophys_experiment_id\"])\n",
"\n",
"data_set = boc.get_ophys_experiment_data(569407590)\n",
" \n",
"# looking at azimuth and altitude over time\n",
"# by default locations returned are (azimuth, altitude)\n",
"# passing as_spherical=False to get_pupil_location will return (x,y) in cm\n",
"timestamps, locations = data_set.get_pupil_location()\n",
"plt.figure(figsize=(14,4))\n",
"plt.plot(timestamps, locations.T[0])\n",
"plt.plot(timestamps, locations.T[1])\n",
"plt.title(\"Eye position over time\")\n",
"plt.xlabel(\"time (s)\")\n",
"plt.ylabel(\"angle (deg)\")\n",
"plt.legend(['azimuth', 'altitude'])\n",
"plt.show()\n",
"\n",
"#pupil size over time\n",
"timestamps, area = data_set.get_pupil_size()\n",
"plt.figure(figsize=(14,4))\n",
"plt.plot(timestamps, area)\n",
"plt.title(\"Pupil size over time\")\n",
"plt.xlabel(\"time (s)\")\n",
"plt.ylabel(\"area (px)\")\n",
"plt.ylim(0, 20000)\n",
"plt.show()\n",
"\n",
"# scatter of gaze positions over approximate screen area\n",
"plt.figure()\n",
"plt.scatter(locations.T[0], locations.T[1], s=2, c=\"m\", edgecolor=\"\")\n",
"plt.title(\"Eye position scatter plot\")\n",
"plt.xlim(-70, 70)\n",
"plt.ylim(-60, 60)\n",
"plt.xlabel(\"azimuth (deg)\")\n",
"plt.ylabel(\"altitude (deg)\")\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.14"
}
},
"nbformat": 4,
"nbformat_minor": 1
}