From 79c40eb8fc71817f5c4719bbb56c970aa860858e Mon Sep 17 00:00:00 2001 From: Johannes Hjorth Date: Thu, 7 Sep 2023 13:40:04 +0200 Subject: [PATCH] Optimised pruning --- .../optimise_prune/run_all_fs_spn.ipynb | 8788 +++++------------ 1 file changed, 2253 insertions(+), 6535 deletions(-) diff --git a/examples/notebooks/optimise_prune/run_all_fs_spn.ipynb b/examples/notebooks/optimise_prune/run_all_fs_spn.ipynb index 99b3da480..037bb338d 100644 --- a/examples/notebooks/optimise_prune/run_all_fs_spn.ipynb +++ b/examples/notebooks/optimise_prune/run_all_fs_spn.ipynb @@ -37,7 +37,15 @@ "all_experimental_data[\"iSPN\", \"dSPN\"] = [(0, 50e-6, 13 / 47.0), (0, 100e-6, 10 / 80.0)]\n", "all_experimental_data[\"FS\", \"FS\"] = [(0, 250e-6, 7 / 12.0)]\n", "all_experimental_data[\"FS\", \"iSPN\"] = [(0, 100e-6, 6 / 9.0), (0, 150e-6, 21 / 54.0), (0, 250e-6, 27 / 77.0)]\n", - "all_experimental_data[\"FS\", \"dSPN\"] = [(0, 100e-6, 8 / 9.0), (0, 150e-6, 29 / 48.0), (0, 250e-6, 48 / 90.0)]" + "all_experimental_data[\"FS\", \"dSPN\"] = [(0, 100e-6, 8 / 9.0), (0, 150e-6, 29 / 48.0), (0, 250e-6, 48 / 90.0)]\n", + "\n", + "param_names_A = [\"f1\", \"softMax\", \"mu2\", \"a3\"]\n", + "param_names_B = [\"f1\", \"mu2\", \"a3\"]\n", + "param_names_C = [\"f1\", \"a3\"]\n", + "param_names_D = [\"f1\"]\n", + "\n", + "param_sets = [param_names_A, param_names_B, param_names_C, param_names_D]\n", + "param_sets = [param_names_B, param_names_C]" ] }, { @@ -51,9 +59,9 @@ "output_type": "stream", "text": [ "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_FS_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np1/network-config.json\n", + "Writing networks/scan_FS_to_FS_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_FS_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_FS_f1_mu2_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 72/180 (139 neurons)\n", "Processing hyper voxel : 71/180 (131 neurons)\n", @@ -116,104 +124,122 @@ "Processing hyper voxel : 8/180 (1 neurons)\n", "Processing hyper voxel : 92/180 (1 neurons)\n", "Processing hyper voxel : 1/180 (1 neurons)\n", - "Read 61886 out of total 61886 synapses\n", + "Read 61887 out of total 61887 synapses\n", "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", "type_id_lookup = {'FS': 1}\n", - "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n" + "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/home/hjorth/HBP/Snudda/venv/lib/python3.9/site-packages/scipy/optimize/_differentialevolution.py:377: UserWarning: differential_evolution: the 'workers' keyword has overridden updating='immediate' to updating='deferred'\n", - " with DifferentialEvolutionSolver(func, bounds, args=args,\n" + "/home/hjorth/.local/lib/python3.9/site-packages/scipy/optimize/_differentialevolution.py:533: UserWarning: differential_evolution: the 'workers' keyword has overridden updating='immediate' to updating='deferred'\n", + " warnings.warn(\"differential_evolution: the 'workers' keyword has\"\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Duration: 29.722754034999525 s\n", - "f1 = 0.6584\n", - " fun: 7.191659793305009\n", + "Worker iter: 100, fitness 7.2297939440283985\n", + "Worker iter: 100, fitness 7.221013130639671\n", + "Worker iter: 100, fitness 7.216768142575621\n", + "Worker iter: 100, fitness 7.239867897095615\n", + "Worker iter: 100, fitness 7.214717465101799\n", + "Worker iter: 100, fitness 7.223491658972016\n", + "Worker iter: 100, fitness 7.214717465101799\n", + "Worker iter: 100, fitness 7.229917652474631\n", + "Duration: 138.07877377799923 s\n", + "f1 = 0.6595, mu2 = 0.3838, a3 = 0.9999, \n", + " fun: 7.2055774153123835\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 392\n", - " nit: 38\n", + " nfev: 1324\n", + " nit: 43\n", " success: True\n", - " x: array([0.65837268])\n", + " x: array([0.65947758, 0.38380742, 0.99988287])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_FS_np1/figures\n", + "Creating figures directory networks/scan_FS_to_FS_f1_mu2_a3/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0029291739920154214 seconds\n", - "Created connection matrix 0.03201290898141451 seconds\n", - "Created gap junction connection matrix 0.00012670800788328052 seconds\n", + "Synapse row 0 - 0.0 % time: 0.003696159000355692 seconds\n", + "Created connection matrix 0.03308792900043045 seconds\n", + "Created gap junction connection matrix 0.00013994700020703021 seconds\n", "Creating population dictionary\n", "Done.\n", "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 40993, at 0\n", - "Created distance histogram (optimised) in 0.04083659601747058 seconds\n", - "Saving cache to networks/FS_to_FS_np1/network-synapses.hdf5-cache\n", + "n_synapses = 41056, at 0\n", + "Created distance histogram (optimised) in 0.04203913099991041 seconds\n", + "Saving cache to networks/scan_FS_to_FS_f1_mu2_a3/network-synapses.hdf5-cache\n", "Plotting connection probability FS to FS (synapses)\n", "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<0.00025) = 0.5658516020236087\n" + "Counting connections\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/home/hjorth/HBP/Snudda/snudda/analyse/analyse.py:1394: RuntimeWarning: invalid value encountered in divide\n", + "/home/hjorth/HBP/Snudda/snudda/analyse/analyse.py:1411: RuntimeWarning: invalid value encountered in true_divide\n", " p_con = np.divide(count_con, count_all)\n" ] }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Requested: 10000000.0 calculated [22350.]\n", + "P(d<0.00025) = 0.5658516020236087\n" + ] + }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/FS_to_FS_np1/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_FS_f1_mu2_a3/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 150/150\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 7570 connections\n" + "Plotting 7571 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/FS_to_FS_np1/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", + "Wrote networks/scan_FS_to_FS_f1_mu2_a3/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_FS_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np2/network-config.json\n", + "Writing networks/scan_FS_to_FS_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_FS_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_FS_f1_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 72/180 (139 neurons)\n", "Processing hyper voxel : 71/180 (131 neurons)\n", @@ -276,39 +302,40 @@ "Processing hyper voxel : 8/180 (1 neurons)\n", "Processing hyper voxel : 92/180 (1 neurons)\n", "Processing hyper voxel : 1/180 (1 neurons)\n", - "Read 61886 out of total 61886 synapses\n", + "Read 61887 out of total 61887 synapses\n", "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", "type_id_lookup = {'FS': 1}\n", - "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Duration: 43.02063662701403 s\n", - "f1 = 0.6584, mu2 = 0.1757\n", - " fun: 7.191659793305009\n", + "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Duration: 85.51028636299998 s\n", + "f1 = 0.6595, a3 = 1.0000, \n", + " fun: 7.2055774153123835\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 783\n", - " nit: 38\n", + " nfev: 963\n", + " nit: 47\n", " success: True\n", - " x: array([0.65837311, 0.17569864])\n", + " x: array([0.65948982, 0.99995248])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_FS_np2/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.003128881973680109 seconds\n", - "Created connection matrix 0.03223136599990539 seconds\n", - "Created gap junction connection matrix 0.00016154200420714915 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0036452920003284817 seconds\n", + "Created connection matrix 0.03213212900027429 seconds\n", + "Created gap junction connection matrix 0.0004937950006933534 seconds\n", "Creating population dictionary\n", "Done.\n", "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 40993, at 0\n", - "Created distance histogram (optimised) in 0.039965383999515325 seconds\n", - "Saving cache to networks/FS_to_FS_np2/network-synapses.hdf5-cache\n", + "n_synapses = 41056, at 0\n", + "Created distance histogram (optimised) in 0.04209687699949427 seconds\n", + "Saving cache to networks/scan_FS_to_FS_f1_a3/network-synapses.hdf5-cache\n", "Plotting connection probability FS to FS (synapses)\n", "Centering in None : Keeping 150/150\n", "Counting connections\n", @@ -318,46 +345,50 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/FS_to_FS_np2/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_FS_f1_a3/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 150/150\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 7570 connections\n" + "Plotting 7571 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/FS_to_FS_np2/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", + "Wrote networks/scan_FS_to_FS_f1_a3/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_FS_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np3/network-config.json\n", + "Writing networks/scan_FS_to_FS_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_FS_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_FS_f1_mu2_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 72/180 (139 neurons)\n", "Processing hyper voxel : 71/180 (131 neurons)\n", @@ -420,49 +451,48 @@ "Processing hyper voxel : 8/180 (1 neurons)\n", "Processing hyper voxel : 92/180 (1 neurons)\n", "Processing hyper voxel : 1/180 (1 neurons)\n", - "Read 61886 out of total 61886 synapses\n", + "Read 61887 out of total 61887 synapses\n", "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", "type_id_lookup = {'FS': 1}\n", - "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Worker iter: 100, fitness 7.191659793305009Worker iter: 100, fitness 7.191659793305009\n", - "\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Worker iter: 100, fitness 7.191659793305009\n", - "Worker iter: 200, fitness 7.191659793305009\n", - "Worker iter: 200, fitness 7.191659793305009\n", - "Worker iter: 200, fitness 7.191659793305009\n", - "Worker iter: 200, fitness 7.191659793305009\n", - "Worker iter: 200, fitness 7.191659793305009\n", - "Worker iter: 200, fitness 7.191659793305009\n", - "Worker iter: 200, fitness 7.191659793305009\n", - "Worker iter: 200, fitness 7.191659793305009\n", - "Duration: 95.50881476799259 s\n", - "f1 = 0.6584, mu2 = 0.2236, a3 = 1.0000\n", - " fun: 7.191659793305009\n", + "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 200, fitness 7.2055774153123835\n", + "Worker iter: 200, fitness 7.2055774153123835\n", + "Worker iter: 200, fitness 7.2055774153123835\n", + "Worker iter: 200, fitness 7.2055774153123835\n", + "Worker iter: 200, fitness 7.2055774153123835\n", + "Worker iter: 200, fitness 7.2055774153123835\n", + "Worker iter: 200, fitness 7.2055774153123835\n", + "Worker iter: 200, fitness 7.2055774153123835\n", + "Duration: 162.93526932400073 s\n", + "f1 = 0.6595, mu2 = 0.1675, a3 = 1.0000, \n", + " fun: 7.2055774153123835\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 1984\n", - " nit: 65\n", + " nfev: 1624\n", + " nit: 53\n", " success: True\n", - " x: array([0.65837276, 0.22356197, 0.99997594])\n", + " x: array([0.6594684 , 0.16746711, 0.99995205])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_FS_np3/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.002891882002586499 seconds\n", - "Created connection matrix 0.032035904994700104 seconds\n", - "Created gap junction connection matrix 8.516601519659162e-05 seconds\n", + "Synapse row 0 - 0.0 % time: 0.003740447999916796 seconds\n", + "Created connection matrix 0.031698420999418886 seconds\n", + "Created gap junction connection matrix 0.0004919450002489612 seconds\n", "Creating population dictionary\n", "Done.\n", "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 40993, at 0\n", - "Created distance histogram (optimised) in 0.04189205201691948 seconds\n", - "Saving cache to networks/FS_to_FS_np3/network-synapses.hdf5-cache\n", + "n_synapses = 41056, at 0\n", + "Created distance histogram (optimised) in 0.04242755999985093 seconds\n", + "Saving cache to networks/scan_FS_to_FS_f1_mu2_a3/network-synapses.hdf5-cache\n", "Plotting connection probability FS to FS (synapses)\n", "Centering in None : Keeping 150/150\n", "Counting connections\n", @@ -472,46 +502,50 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/FS_to_FS_np3/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_FS_f1_mu2_a3/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 150/150\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 7570 connections\n" + "Plotting 7571 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/FS_to_FS_np3/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", + "Wrote networks/scan_FS_to_FS_f1_mu2_a3/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_FS_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np4/network-config.json\n", + "Writing networks/scan_FS_to_FS_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_FS_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_FS_f1_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 72/180 (139 neurons)\n", "Processing hyper voxel : 71/180 (131 neurons)\n", @@ -574,5950 +608,1380 @@ "Processing hyper voxel : 8/180 (1 neurons)\n", "Processing hyper voxel : 92/180 (1 neurons)\n", "Processing hyper voxel : 1/180 (1 neurons)\n", - "Read 61886 out of total 61886 synapses\n", + "Read 61887 out of total 61887 synapses\n", "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", "type_id_lookup = {'FS': 1}\n", - "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 2.9706921460074565\n", - "Worker iter: 100, fitness 2.871638199110903\n", - "Worker iter: 100, fitness 2.6516431139153633\n", - "Worker iter: 100, fitness 2.779664625947158\n", - "Worker iter: 100, fitness 2.701559243123831\n", - "Worker iter: 100, fitness 2.7121585917299273\n", - "Worker iter: 100, fitness 2.865400280178711\n", - "Worker iter: 100, fitness 2.8167867378679525\n", - "Worker iter: 200, fitness 2.6550763043974444\n", - "Worker iter: 200, fitness 2.651384999917115\n", - "Worker iter: 200, fitness 2.6998018214102517\n", - "Worker iter: 200, fitness 2.663218186073477\n", - "Worker iter: 200, fitness 2.6061538385424283\n", - "Worker iter: 200, fitness 2.543822835611419\n", - "Worker iter: 200, fitness 2.655892292242514\n", - "Worker iter: 200, fitness 2.5221165945852015\n", - "Worker iter: 300, fitness 2.569744262647879\n", - "Worker iter: 300, fitness 2.446972113709288\n", - "Worker iter: 300, fitness 2.473355902597958\n", - "Worker iter: 300, fitness 2.3799027062719684\n", - "Worker iter: 300, fitness 2.4065424533804185\n", - "Worker iter: 300, fitness 2.443975625791884\n", - "Worker iter: 300, fitness 2.4467912222888337\n", - "Worker iter: 300, fitness 2.4485044511312326\n", - "Worker iter: 400, fitness 2.2770169809985847\n", - "Worker iter: 400, fitness 2.2988220479899564\n", - "Worker iter: 400, fitness 2.2796891995184776\n", - "Worker iter: 400, fitness 2.295174962565409\n", - "Worker iter: 400, fitness 2.298006267433117\n", - "Worker iter: 400, fitness 2.2600189515754754\n", - "Worker iter: 400, fitness 2.3284449674264964\n", - "Worker iter: 400, fitness 2.293434008367321\n", - "Worker iter: 500, fitness 2.2758286723882755\n", - "Worker iter: 500, fitness 2.261935800439195\n", - "Worker iter: 500, fitness 2.2619489776300616\n", - "Worker iter: 500, fitness 2.273237734258273\n", - "Worker iter: 500, fitness 2.2609435051689046\n", - "Worker iter: 500, fitness 2.2557886943519287\n", - "Worker iter: 500, fitness 2.258095561908755\n", - "Worker iter: 500, fitness 2.258431742188086\n", - "Worker iter: 600, fitness 2.2580302500866813\n", - "Worker iter: 600, fitness 2.2548941864516365\n", - "Worker iter: 600, fitness 2.2571807039401386\n", - "Worker iter: 600, fitness 2.252775608140388\n", - "Worker iter: 600, fitness 2.25287531776173\n", - "Worker iter: 600, fitness 2.2530870817898268\n", - "Worker iter: 600, fitness 2.252320320545275\n", - "Worker iter: 600, fitness 2.2518424267504624\n", - "Worker iter: 700, fitness 2.251463316779173\n", - "Worker iter: 700, fitness 2.251003815264951\n", - "Worker iter: 700, fitness 2.251515874707945\n", - "Worker iter: 700, fitness 2.250954128180469\n", - "Worker iter: 700, fitness 2.25287531776173\n", - "Worker iter: 700, fitness 2.250879624498376\n", - "Worker iter: 700, fitness 2.2509741455300785\n", - "Worker iter: 700, fitness 2.2497636631383275\n", - "Worker iter: 800, fitness 2.249983884985674\n", - "Worker iter: 800, fitness 2.2494678905928804\n", - "Worker iter: 800, fitness 2.2499105956657233\n", - "Worker iter: 800, fitness 2.2503830587735423\n", - "Worker iter: 800, fitness 2.2497636631383275\n", - "Worker iter: 800, fitness 2.2497636631383275\n", - "Worker iter: 800, fitness 2.24980790238498\n", - "Worker iter: 800, fitness 2.24954196067034\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Duration: 548.7352411859902 s\n", - "f1 = 0.9941, softMax = 3.4952, mu2 = 0.9840, a3 = 1.0000\n", - " fun: 2.249423651652583\n", + "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Worker iter: 100, fitness 7.2055774153123835\n", + "Duration: 87.59028509200016 s\n", + "f1 = 0.6595, a3 = 1.0000, \n", + " fun: 7.2055774153123835\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 7445\n", - " nit: 185\n", + " nfev: 983\n", + " nit: 48\n", " success: True\n", - " x: array([0.99405186, 3.49516615, 0.98399417, 0.99998363])\n", + " x: array([0.65945706, 0.99995196])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_FS_np4/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.002340587991056964 seconds\n", - "Created connection matrix 0.0263103439938277 seconds\n", - "Created gap junction connection matrix 0.00011304201325401664 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0036729999992530793 seconds\n", + "Created connection matrix 0.03251414699934685 seconds\n", + "Created gap junction connection matrix 0.0005143050002516247 seconds\n", "Creating population dictionary\n", "Done.\n", "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 30080, at 0\n", - "Created distance histogram (optimised) in 0.03099076999933459 seconds\n", - "Saving cache to networks/FS_to_FS_np4/network-synapses.hdf5-cache\n", + "n_synapses = 41056, at 0\n", + "Created distance histogram (optimised) in 0.043523968999579665 seconds\n", + "Saving cache to networks/scan_FS_to_FS_f1_a3/network-synapses.hdf5-cache\n", "Plotting connection probability FS to FS (synapses)\n", "Centering in None : Keeping 150/150\n", "Counting connections\n", "Requested: 10000000.0 calculated [22350.]\n", - "P(d<0.00025) = 0.5645025295109612\n" + "P(d<0.00025) = 0.5658516020236087\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/FS_to_FS_np4/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_FS_f1_a3/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 150/150\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 7520 connections\n" + "Plotting 7571 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/FS_to_FS_np4/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", + "Wrote networks/scan_FS_to_FS_f1_a3/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_FS_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np1/network-config.json\n", + "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Writing networks/scan_FS_to_dSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_dSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_dSPN_f1_mu2_a3_distdep/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 72/180 (139 neurons)\n", - "Processing hyper voxel : 71/180 (131 neurons)\n", - "Processing hyper voxel : 67/180 (105 neurons)\n", - "Processing hyper voxel : 66/180 (100 neurons)\n", - "Processing hyper voxel : 42/180 (81 neurons)\n", - "Processing hyper voxel : 41/180 (74 neurons)\n", - "Processing hyper voxel : 101/180 (73 neurons)\n", - "Processing hyper voxel : 102/180 (71 neurons)\n", - "Processing hyper voxel : 77/180 (60 neurons)\n", - "Processing hyper voxel : 37/180 (59 neurons)\n", - "Processing hyper voxel : 36/180 (56 neurons)\n", - "Processing hyper voxel : 96/180 (53 neurons)\n", - "Processing hyper voxel : 76/180 (50 neurons)\n", - "Processing hyper voxel : 97/180 (43 neurons)\n", - "Processing hyper voxel : 73/180 (36 neurons)\n", - "Processing hyper voxel : 70/180 (32 neurons)\n", - "Processing hyper voxel : 107/180 (28 neurons)\n", - "Processing hyper voxel : 47/180 (26 neurons)\n", - "Processing hyper voxel : 106/180 (25 neurons)\n", - "Processing hyper voxel : 46/180 (24 neurons)\n", - "Processing hyper voxel : 65/180 (23 neurons)\n", - "Processing hyper voxel : 68/180 (21 neurons)\n", - "Processing hyper voxel : 40/180 (17 neurons)\n", - "Processing hyper voxel : 100/180 (16 neurons)\n", - "Processing hyper voxel : 103/180 (15 neurons)\n", - "Processing hyper voxel : 38/180 (12 neurons)\n", - "Processing hyper voxel : 43/180 (12 neurons)\n", - "Processing hyper voxel : 62/180 (11 neurons)\n", - "Processing hyper voxel : 75/180 (11 neurons)\n", - "Processing hyper voxel : 95/180 (9 neurons)\n", - "Processing hyper voxel : 98/180 (9 neurons)\n", - "Processing hyper voxel : 12/180 (8 neurons)\n", - "Processing hyper voxel : 61/180 (7 neurons)\n", - "Processing hyper voxel : 35/180 (7 neurons)\n", - "Processing hyper voxel : 78/180 (7 neurons)\n", - "Processing hyper voxel : 11/180 (6 neurons)\n", - "Processing hyper voxel : 32/180 (6 neurons)\n", - "Processing hyper voxel : 31/180 (5 neurons)\n", - "Processing hyper voxel : 7/180 (5 neurons)\n", - "Processing hyper voxel : 45/180 (5 neurons)\n", - "Processing hyper voxel : 132/180 (4 neurons)\n", - "Processing hyper voxel : 105/180 (3 neurons)\n", - "Processing hyper voxel : 127/180 (3 neurons)\n", - "Processing hyper voxel : 91/180 (3 neurons)\n", - "Processing hyper voxel : 131/180 (3 neurons)\n", - "Processing hyper voxel : 6/180 (3 neurons)\n", - "Processing hyper voxel : 16/180 (3 neurons)\n", - "Processing hyper voxel : 126/180 (2 neurons)\n", - "Processing hyper voxel : 137/180 (2 neurons)\n", - "Processing hyper voxel : 33/180 (2 neurons)\n", - "Processing hyper voxel : 82/180 (1 neurons)\n", - "Processing hyper voxel : 81/180 (1 neurons)\n", - "Processing hyper voxel : 63/180 (1 neurons)\n", - "Processing hyper voxel : 48/180 (1 neurons)\n", - "Processing hyper voxel : 108/180 (1 neurons)\n", - "Processing hyper voxel : 111/180 (1 neurons)\n", - "Processing hyper voxel : 17/180 (1 neurons)\n", - "Processing hyper voxel : 10/180 (1 neurons)\n", - "Processing hyper voxel : 8/180 (1 neurons)\n", - "Processing hyper voxel : 92/180 (1 neurons)\n", - "Processing hyper voxel : 1/180 (1 neurons)\n", - "Read 61886 out of total 61886 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1}\n", - "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 17.018888888007496 s\n", - "f1 = 0.6584\n", - " fun: 7.191816706725001\n", + "Processing hyper voxel : 50/216 (139 neurons)\n", + "Processing hyper voxel : 44/216 (131 neurons)\n", + "Processing hyper voxel : 86/216 (111 neurons)\n", + "Processing hyper voxel : 80/216 (101 neurons)\n", + "Processing hyper voxel : 49/216 (93 neurons)\n", + "Processing hyper voxel : 85/216 (85 neurons)\n", + "Processing hyper voxel : 43/216 (82 neurons)\n", + "Processing hyper voxel : 51/216 (72 neurons)\n", + "Processing hyper voxel : 79/216 (66 neurons)\n", + "Processing hyper voxel : 14/216 (58 neurons)\n", + "Processing hyper voxel : 45/216 (58 neurons)\n", + "Processing hyper voxel : 56/216 (53 neurons)\n", + "Processing hyper voxel : 87/216 (53 neurons)\n", + "Processing hyper voxel : 8/216 (45 neurons)\n", + "Processing hyper voxel : 81/216 (44 neurons)\n", + "Processing hyper voxel : 92/216 (34 neurons)\n", + "Processing hyper voxel : 55/216 (32 neurons)\n", + "Processing hyper voxel : 7/216 (31 neurons)\n", + "Processing hyper voxel : 13/216 (30 neurons)\n", + "Processing hyper voxel : 122/216 (24 neurons)\n", + "Processing hyper voxel : 91/216 (24 neurons)\n", + "Processing hyper voxel : 38/216 (22 neurons)\n", + "Processing hyper voxel : 57/216 (19 neurons)\n", + "Processing hyper voxel : 116/216 (18 neurons)\n", + "Processing hyper voxel : 15/216 (18 neurons)\n", + "Processing hyper voxel : 9/216 (16 neurons)\n", + "Processing hyper voxel : 121/216 (15 neurons)\n", + "Processing hyper voxel : 74/216 (15 neurons)\n", + "Processing hyper voxel : 37/216 (15 neurons)\n", + "Processing hyper voxel : 93/216 (14 neurons)\n", + "Processing hyper voxel : 48/216 (12 neurons)\n", + "Processing hyper voxel : 115/216 (12 neurons)\n", + "Processing hyper voxel : 42/216 (12 neurons)\n", + "Processing hyper voxel : 84/216 (11 neurons)\n", + "Processing hyper voxel : 2/216 (10 neurons)\n", + "Processing hyper voxel : 78/216 (10 neurons)\n", + "Processing hyper voxel : 20/216 (9 neurons)\n", + "Processing hyper voxel : 73/216 (9 neurons)\n", + "Processing hyper voxel : 75/216 (9 neurons)\n", + "Processing hyper voxel : 123/216 (8 neurons)\n", + "Processing hyper voxel : 1/216 (6 neurons)\n", + "Processing hyper voxel : 39/216 (6 neurons)\n", + "Processing hyper voxel : 117/216 (6 neurons)\n", + "Processing hyper voxel : 19/216 (4 neurons)\n", + "Processing hyper voxel : 21/216 (3 neurons)\n", + "Processing hyper voxel : 128/216 (3 neurons)\n", + "Processing hyper voxel : 97/216 (2 neurons)\n", + "Processing hyper voxel : 98/216 (2 neurons)\n", + "Processing hyper voxel : 52/216 (2 neurons)\n", + "Processing hyper voxel : 62/216 (2 neurons)\n", + "Processing hyper voxel : 36/216 (2 neurons)\n", + "Processing hyper voxel : 6/216 (2 neurons)\n", + "Processing hyper voxel : 3/216 (2 neurons)\n", + "Processing hyper voxel : 88/216 (2 neurons)\n", + "Processing hyper voxel : 127/216 (1 neurons)\n", + "Processing hyper voxel : 114/216 (1 neurons)\n", + "Processing hyper voxel : 61/216 (1 neurons)\n", + "Processing hyper voxel : 110/216 (1 neurons)\n", + "Processing hyper voxel : 109/216 (1 neurons)\n", + "Processing hyper voxel : 90/216 (1 neurons)\n", + "Processing hyper voxel : 82/216 (1 neurons)\n", + "Processing hyper voxel : 54/216 (1 neurons)\n", + "Processing hyper voxel : 46/216 (1 neurons)\n", + "Processing hyper voxel : 12/216 (1 neurons)\n", + "Processing hyper voxel : 111/216 (1 neurons)\n", + "Processing hyper voxel : 157/216 (1 neurons)\n", + "Read 15460 out of total 15460 synapses\n", + "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", + "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 30.964509215658556Worker iter: 100, fitness 30.96792662268815\n", + "\n", + "Worker iter: 100, fitness 31.040206377460244\n", + "Worker iter: 100, fitness 30.959928690923434\n", + "Worker iter: 100, fitness 30.95766581547995\n", + "Worker iter: 100, fitness 30.96792662268815\n", + "Worker iter: 100, fitness 30.960915996248918\n", + "Worker iter: 100, fitness 30.952328331397492\n", + "Duration: 52.23364233600023 s\n", + "f1 = 0.7373, mu2 = 0.2185, a3 = 0.9994, (exp(-(0.5*d/60e-6)**2))\n", + " fun: 30.949413946853745\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 232\n", - " nit: 22\n", + " nfev: 1414\n", + " nit: 46\n", " success: True\n", - " x: array([0.65837785])\n", + " x: array([0.73731962, 0.21846543, 0.99944148])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", + "Creating figures directory networks/scan_FS_to_dSPN_f1_mu2_a3_distdep/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0029520470125135034 seconds\n", - "Created connection matrix 0.032298314006766304 seconds\n", - "Created gap junction connection matrix 0.00017320798360742629 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008933219996833941 seconds\n", + "Created connection matrix 0.005040876999373722 seconds\n", + "Created gap junction connection matrix 0.0001112729996748385 seconds\n", "Creating population dictionary\n", "Done.\n", "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 40994, at 0\n", - "Created distance histogram (optimised) in 0.040362872008699924 seconds\n", - "Saving cache to networks/FS_to_FS_np1/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to FS (synapses)\n", - "Centering in None : Keeping 150/150\n", + "n_synapses = 5336, at 0\n", + "Created distance histogram (optimised) in 0.005114870999932464 seconds\n", + "Saving cache to networks/scan_FS_to_dSPN_f1_mu2_a3_distdep/network-synapses.hdf5-cache\n", + "Plotting connection probability FS to dSPN (synapses)\n", + "Centering in None : Keeping 75/75\n", "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<0.00025) = 0.5658516020236087\n" + "Requested: 10000000.0 calculated [5625.]\n", + "P(d<0.0001) = 0.8295687885010267\n", + "P(d<0.00015) = 0.694949494949495\n", + "P(d<0.00025) = 0.3877139979859013\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/FS_to_FS_np1/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_dSPN_f1_mu2_a3_distdep/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", + "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 7570 connections\n" + "Plotting 1239 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/FS_to_FS_np1/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", + "Wrote networks/scan_FS_to_dSPN_f1_mu2_a3_distdep/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_FS_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np2/network-config.json\n", + "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Writing networks/scan_FS_to_dSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_dSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_dSPN_f1_a3_distdep/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 72/180 (139 neurons)\n", - "Processing hyper voxel : 71/180 (131 neurons)\n", - "Processing hyper voxel : 67/180 (105 neurons)\n", - "Processing hyper voxel : 66/180 (100 neurons)\n", - "Processing hyper voxel : 42/180 (81 neurons)\n", - "Processing hyper voxel : 41/180 (74 neurons)\n", - "Processing hyper voxel : 101/180 (73 neurons)\n", - "Processing hyper voxel : 102/180 (71 neurons)\n", - "Processing hyper voxel : 77/180 (60 neurons)\n", - "Processing hyper voxel : 37/180 (59 neurons)\n", - "Processing hyper voxel : 36/180 (56 neurons)\n", - "Processing hyper voxel : 96/180 (53 neurons)\n", - "Processing hyper voxel : 76/180 (50 neurons)\n", - "Processing hyper voxel : 97/180 (43 neurons)\n", - "Processing hyper voxel : 73/180 (36 neurons)\n", - "Processing hyper voxel : 70/180 (32 neurons)\n", - "Processing hyper voxel : 107/180 (28 neurons)\n", - "Processing hyper voxel : 47/180 (26 neurons)\n", - "Processing hyper voxel : 106/180 (25 neurons)\n", - "Processing hyper voxel : 46/180 (24 neurons)\n", - "Processing hyper voxel : 65/180 (23 neurons)\n", - "Processing hyper voxel : 68/180 (21 neurons)\n", - "Processing hyper voxel : 40/180 (17 neurons)\n", - "Processing hyper voxel : 100/180 (16 neurons)\n", - "Processing hyper voxel : 103/180 (15 neurons)\n", - "Processing hyper voxel : 38/180 (12 neurons)\n", - "Processing hyper voxel : 43/180 (12 neurons)\n", - "Processing hyper voxel : 62/180 (11 neurons)\n", - "Processing hyper voxel : 75/180 (11 neurons)\n", - "Processing hyper voxel : 95/180 (9 neurons)\n", - "Processing hyper voxel : 98/180 (9 neurons)\n", - "Processing hyper voxel : 12/180 (8 neurons)\n", - "Processing hyper voxel : 61/180 (7 neurons)\n", - "Processing hyper voxel : 35/180 (7 neurons)\n", - "Processing hyper voxel : 78/180 (7 neurons)\n", - "Processing hyper voxel : 11/180 (6 neurons)\n", - "Processing hyper voxel : 32/180 (6 neurons)\n", - "Processing hyper voxel : 31/180 (5 neurons)\n", - "Processing hyper voxel : 7/180 (5 neurons)\n", - "Processing hyper voxel : 45/180 (5 neurons)\n", - "Processing hyper voxel : 132/180 (4 neurons)\n", - "Processing hyper voxel : 105/180 (3 neurons)\n", - "Processing hyper voxel : 127/180 (3 neurons)\n", - "Processing hyper voxel : 91/180 (3 neurons)\n", - "Processing hyper voxel : 131/180 (3 neurons)\n", - "Processing hyper voxel : 6/180 (3 neurons)\n", - "Processing hyper voxel : 16/180 (3 neurons)\n", - "Processing hyper voxel : 126/180 (2 neurons)\n", - "Processing hyper voxel : 137/180 (2 neurons)\n", - "Processing hyper voxel : 33/180 (2 neurons)\n", - "Processing hyper voxel : 82/180 (1 neurons)\n", - "Processing hyper voxel : 81/180 (1 neurons)\n", - "Processing hyper voxel : 63/180 (1 neurons)\n", - "Processing hyper voxel : 48/180 (1 neurons)\n", - "Processing hyper voxel : 108/180 (1 neurons)\n", - "Processing hyper voxel : 111/180 (1 neurons)\n", - "Processing hyper voxel : 17/180 (1 neurons)\n", - "Processing hyper voxel : 10/180 (1 neurons)\n", - "Processing hyper voxel : 8/180 (1 neurons)\n", - "Processing hyper voxel : 92/180 (1 neurons)\n", - "Processing hyper voxel : 1/180 (1 neurons)\n", - "Read 61886 out of total 61886 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1}\n", - "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583Worker iter: 100, fitness 2.249423651652583\n", - "\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Duration: 45.284205874981126 s\n", - "f1 = 0.6584, mu2 = 0.4150\n", - " fun: 7.191659793305009\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 723\n", - " nit: 35\n", - " success: True\n", - " x: array([0.65837247, 0.4150252 ])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0028459220193326473 seconds\n", - "Created connection matrix 0.03167502101860009 seconds\n", - "Created gap junction connection matrix 0.000367375003406778 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 40993, at 0\n", - "Created distance histogram (optimised) in 0.040475496993167326 seconds\n", - "Saving cache to networks/FS_to_FS_np2/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to FS (synapses)\n", - "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<0.00025) = 0.5658516020236087\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_FS_np2/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 7570 connections\n" - ] - }, - { - "data": { - "image/png": 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MYmJispS7fv06bGxs5PcODg7y9syZM7Fw4UKsWrUKtWvXxpkzZzB48GDY2tpizJgxau1s27YNoaGhqFChgh4+tX5cu3YNaWlpWLx4MapVq4ZLly7B398fL1++xOzZs/Ot3y+++AK7d+/Gpk2bYGtri9GjR6N79+44ceJErnVz+h5TU1PRq1cvNG/eHMuXL8+2jZUrV6JTp07y+8xJl67nE5HeCSIqtgYOHCgAyC83N7csZQCIbdu25XssX3/9tahdu7baPj8/P9GxY8ds61y5ckWYmJiIa9euZVsmJCREABAvXrzItkyXLl3EkCFD1PZ1795d9OvXT23fgwcPhIuLi7h06ZJwc3MT8+bNy/4DabBy5Upha2sr/v77b1GjRg1RunRp0aNHD/Hy5UsREBAg3NzcRJkyZcRnn30m3rx5I9fT9BvY2tqKlStXZtvXL7/8IipXrpyn+PIiNjZWmJqaik2bNsn7rl69KgCIU6dO5VhX2+8x4/vSJLfzUpfziSg/8NIeUTH222+/YerUqahYsSIeP36M06dP69zWsWPHYGVlleNr3bp12dY/deoU2rVrp7avY8eOOHXqVLZ1/v77b1SpUgW7du1C5cqV4e7ujqFDh2ockWrQoAGcnZ3Rvn37LCMm3t7eOHjwIG7cuAEAOH/+PI4fP453331XLpOWloaPP/4Y48ePR+3atbX6TjRJSkrC/PnzsX79euzduxeHDx9Gt27dEBQUhKCgIKxZswaLFy/G5s2bde4DAOLi4lCuXLkcy7z77rs5/l45fc6zZ8/i9evXar9ZzZo14erqmuNvpq/vEQBGjRoFOzs7NG3aFCtWrFC7FKvL+USUHxRd2vP29saIESPQu3dvmJub6ysmItITW1tbWFtbw9jYGE5OToraaty4ca4T1R0dHbM99uTJkyzHHR0dER8fj1evXqF06dJZ6ty+fRuRkZHYtGkTVq9eDZVKhS+++AI9e/bEoUOHAADOzs5YtGgRGjdujJSUFCxbtgy+vr74559/4OXlBQCYMGEC4uPjUbNmTRgbG0OlUmH69Ono16+f3NfMmTNhYmKS5VJfXr1+/RoLFy5E1apVAQA9e/bEmjVrEBUVBSsrK3h6eqJ169YICQmBn5+fTn1ERETg999/z/Wy3rJly/Dq1atsj5uammZ77MmTJyhVqlSWOUyOjo5q88/epq/vcerUqWjTpg0sLCwQHByMTz/9FImJiXK7upxPRPlBUSIVGhqKf/75B59//jkGDBiAYcOGwdPTU1+xEVEhUrp0aVSrVq1A+0xLS0NKSgpWr16NGjVqAACWL1+ORo0a4fr16/Dw8JBfGby9vXHr1i3MmzcPa9asAQBs3LgR69atw19//YXatWsjPDwcn3/+OSpUqICBAwfi7Nmz+O233xAWFgZJkhTFbGFhISdRQPofd3d3d1hZWanti46O1qn9hw8folOnTujVqxf8/f1zLOvi4qJTH7rS5/f4ww8/yNsNGzbEy5cvMWvWLMUJGpG+Kb60J4RAbGwsfv/9d9StWxctW7bEunXr8v1uEiIqWEov7Tk5OWW54ysqKgo2NjbZjh44OzvDxMRETqIAoFatWgCAe/fuZdtX06ZNERERIb8fP348JkyYgD59+qBu3br4+OOP8cUXX2DGjBnyZ4uOjoarqytMTExgYmKCyMhIjBs3Du7u7rl+N5m9PcojSZLGfWlpaWrvxVt3EL5+/TpL248ePULr1q3h7e2NJUuW5BqLkkt7Tk5OSE1NRWxsrNr+qKiobEc39fk9vq1Zs2Z48OABUlJS5Pjyej4R5QdFI1K3b9/GkiVLEBAQIA/1njx5EidPnsTYsWMxcOBA+Pv7o2bNmnoJlogMR+mlvebNmyMoKEht3/79+9G8efNs67Ro0QJv3rzBrVu35FGejHlObm5u2dYLDw+Hs7Oz/D4pKQlGRur/bjQ2NpaTmY8//ljjfJuPP/4YgwcPzrYffbG3t8fjx4/l9zdv3kRSUpJamYcPH6J169Zo1KgRVq5cmeXzaKLk0l6jRo1gamqKgwcPokePHgDS74y8d+9etr9Zfn6P4eHhKFu2LMzMzADodj4R5Qt9zFh//fq12Lx5s+jQoYMwMjISkiQJSZKEkZGRMDIyEj4+PiIwMFCkpqbqozsiyoN58+ZluVsvISFBnDt3Tpw7d04AEHPnzhXnzp0TkZGR+RbH7du3hYWFhRg/fry4evWq+OOPP4SxsbHYu3evXOb3338Xbdq0kd+rVCrh5eUlWrVqJcLCwsSZM2dEs2bNRPv27dU+3/bt28XNmzfFxYsXxdixY4WRkZE4cOCAXGbgwIHCxcVF7Nq1S9y5c0ds3bpV2NnZia+//jrbeJXctZfZpEmTRP369dX2DRw4UHz44Yfy+z59+ohatWqJsLAwcfr0adGmTRthamoq37X34MEDUa1aNdG2bVvx4MED8fjxY/mVn0aMGCFcXV3FoUOHxJkzZ0Tz5s1F8+bN1cp4eHiIrVu3ZtuGpu8xMjJSnDt3TkyZMkVYWVnJ52JCQoIQQoidO3eKpUuXiosXL4qbN2+KP//8U1hYWIiJEyfKbWhzPhEVBL0vf3D79m0xYcIE4eTklCWhsre3F+PHjxc3btzQd7dElA1NiVTGkgFvvwYOHJivsYSEhIgGDRqIUqVKiSpVqmS5vX/SpElZYn348KHo3r27sLKyEo6OjmLQoEHi+fPn8vGZM2eKqlWrCnNzc1GuXDnh6+srDh06pNZGfHy8GDt2rHB1dRXm5uaiSpUq4rvvvhMpKSnZxqopAfDx8cnxO9I1kXr48KHo0KGDsLS0FNWrVxdBQUFqyx+sXLlS4++lp38LZ+vVq1fi008/FWXLlhUWFhaiW7duWZI3ADku06Dpe3x7WY6MV0hIiBBCiD179ogGDRoIKysrYWlpKerXry8WLVokVCqVWju5nU9EBUESIpulfRV68+YNtm/fjqVLl+LAgQPy9f+MCYi+vr4YMWIEunXrBhMTrgtKRIWfm5sbpkyZgkGDBhk6FCIqJPItkcrs9u3bWLZsGVauXClPDsxIqOzt7fHJJ59g5MiRqFixYn6HQkSkk8uXL+Ojjz5CeHi4VvOTiKhkKJBECgCOHj2KP/74A5s2bZKTqMyjVKamphg+fDimT5+udpswERERUWGVr4nUixcvsGrVKixZsgTXr18H8L/kqUqVKmjbti22b9+Op0+fpgcjSfDw8MCJEydQtmzZ/AqLiIiISC/yZXz66NGj6N+/P1xcXDBu3Dhcv34dQghIkoT3338fQUFBuHnzJhYvXowHDx5g3bp1qFWrFoQQuH79On766af8CIuIiIhIr/Q2IhUTEyOPPmWs85LRtKOjIz755BMMGzYMrq6uGuunpqaiTZs2OHnyJKpXry6PYBEREREVVopvlzty5AiWLFmCbdu2ySvOZiRQrVq1wsiRI9GjR49c78wrVaoUhg8fjpMnTyIyMlJpWEWeEAIJCQmwtrZW/KgFIiIiyh+KEqmaNWvi5s2bAP6XPNnY2ODjjz/GyJEj8/zcPQcHBwCaH41Q0iQkJMDW1hZxcXGwsbExdDhERESkgaJEKuMSHgDUr18fn376Kfr16wcLCwud2itXrhxatWrFERgiIiIqEhTNkTI3N4efnx9GjhyJd955R59xlXjx8fEckSIiIirkFI1IPXr0COXKldNXLERERERFiqJEKjExEYmJiXBwcIC5ubnW9VJSUuQVzrO7i4+IiIiosFO0jpS7uzuqVKmC4ODgPNU7fPiwXJeIiIioqFK8IKeSZagK6Ok0RERERPmCT94kIiIi0pFBEqmEhAQA0HmZBCIiIqLCwCCJ1IEDBwAAzs7OhuieiIiISC+0vmvvyJEjOHLkiMZj69evR3h4eI71hRB4+fIlwsLCEBISAkmS4O3tnadgiYiIiAoTrROpw4cPY+rUqVn2CyGwYcOGPHUqhICpqSnGjBmTp3pEREREhUme1pHK7i67vN595+XlhZ9++gleXl55qkcFw8y9d65lUu5uLIBIiIiICjetE6lBgwbB19dXfi+EQJs2bSBJEqZNm4YWLVrkWN/IyAhWVlaoXLkyypQpo2u8RERERIWG1omUm5sb3NzcNB6rU6cOfHx89BYUERERUVGg6BExISEhANITKSIiIqKSRlEixVEoIiIiKsm4sjkRERGRjphIEREREelIq0t7xsbGAABJkvDmzZss+3X1dntERERERYlWiZS+1o8iIiIiKk60SqRatWoFSZK03k9ERERUEmiVSB0+fDhP+4mIiIhKAk42JyIiItIREykiIiIiHTGRIiIiItJRvidST548wdixY+Hl5YV69eph4MCBuHjxYn53S0RERJTvFCVSx44dg42NDWxtbXH8+PEsx588eYImTZpgwYIFOH/+PC5fvoy1a9eiSZMmCA4OVtI1ERERkcEpSqS2b9+OxMRElC1bFv/5z3+yHP/qq6/w8OFDCCHUXqmpqejfvz/i4uKUdE9ERERkUIoSqTNnzkCSJLRv3z7LsefPn2Pjxo2QJAn16tXDuXPnEBsbi+nTp8vHV65cqaR7IiIiIoNSlEg9fvwYAFC/fv0sx3bv3i0//mXZsmWoX78+bGxs8O2336JFixYAgKCgICXdExERERmUokTq+fPnAAAHB4csx44ePQoAqFKlCho3bqx27IMPPoAQApcvX1bSPREREZFBKUqkEhISAABpaWlZjp08eRKSJKF169ZZjrm4uAAAYmJilHRPREREZFCKEikrKysAQHR0tNr+6OhoXLt2DQDg7e2dpZ6xsTEAPvSYiIiIijZFiVS1atUAAPv371fbv337dnk7Yz5UZk+fPgUAlC1bVkn3RERERAalKJFq3bo1hBDYt2+fPHH83r17mDFjBgCgatWqqF69epZ6Fy5cAJA+f4qIiIioqFKUSA0fPhxmZmZQqVR4//334eTkhKpVq+LevXuQJAmjR4/WWG///v2QJAkNGzZU0j0RERGRQSlKpKpUqYI//vgDRkZGEEIgOjoaKpUKQgi0bdsWo0aNylLn1KlTiIyMBAC0bNlSSfdEREREBmWitIEhQ4bAy8sLy5cvR0REBCwtLdGhQwcMGTJEnlSe2ebNm+Hm5gZJktCxY0el3RMREREZjCR461yhFB8fD1tbW8TFxcHGxqZA+zZz751rmZS7GwsgEiIiosJN0aU9IiIiopKMiRQRERGRjphIEREREelI8WRzAFCpVPj777+xZ88eXLp0CS9evEBycnKu9SRJwq1bt/QRAhEREVGBU5xIXblyBX5+frhy5Yrafm3msEuSpLR7IiIiIoNRlEg9ffoUbdu2RXR0tJw4mZiYwM7ODmZmZnoJkIiIiKiwUpRIzZo1C1FRUZAkCQ0aNMCMGTPQunVrlCpVSl/xERERERVaihKp3bt3A0h/ePHx48dhYWGhl6CIiIiIigJFd+1FRkZCkiQMGzaMSRQRERGVOIoSKVNTUwCAu7u7PmIhIiIiKlIUP7QYAGJiYvQSDBEREVFRoiiR6tGjB4QQOHDggL7iISIiIioyFCVSo0aNQqVKlbB161acOHFCXzERERERFQmKEilbW1ts374ddnZ26NKlC1avXo20tDR9xZZnO3fuRK9eveDu7g5zc3M4ODjA29sbs2bNQnx8vN76SUhIwJYtWzB69Gh4e3vD3t4epqamsLGxQc2aNTFgwADs3btXq0VJiYiIqOiShIK/9kOGDAEA3Lt3D4cOHYIkSbCzs0OTJk1gZ2cHI6Oc8zRJkrB8+XJdu5clJiaiX79+2LlzZ7ZlKlWqhI0bN+Kdd95R1NfcuXPx3XffafUInJYtW2Lt2rVwdXXNcz/x8fGwtbVFXFwcbGxsdAlVZ2buvXMtk3J3YwFEQkREVLgpSqSMjIwUP+ZFpVIprv/ee+9h7969AABHR0f4+/vD09MTMTExCAwMlC87li1bFidOnECtWrV07m/EiBFYvHgxAMDFxQXt2rVDo0aN4ODggOTkZISGhmLt2rVITEwEAFSuXBmhoaFwcHDIUz9MpIiIiAo/xYmUos4lSXEitXjxYowYMQIA4OnpiUOHDsHR0VGtzFdffYU5c+YASB8lOnr0qM79jRw5Erdv38ZXX32Ftm3bavwOIiMj0bFjR1y/fh0AMHjwYKxYsSJP/TCRIiIiKvwUJVKRkZGKA3Bzc9O5rkqlQqVKlfD48WMAwNmzZ+Hl5aWxXOPGjREeHg4A2LdvHzp06KBTnzExMShXrlyu5c6fP48GDRoAACwsLPD06dM8LVrKRIqIiKjwU/SIGCVJkD4cPXpUTqJ8fHw0JlEAYGxsjDFjxshzugIDA3VOpLRJogCgfv368PDwwPXr15GUlISIiAjUq1dPpz6JiIiocFJ2bc7A9uzZI2937tw5x7Lvvvuuxnr5KfNI0qtXrwqkTyIiIio4RTqRunjxorzdpEmTHMs6OTmhUqVKAICoqCg8ffo0X2NLTU3FjRs35PeGHr0jIiIi/VN0ae9tr1+/xj///IMrV64gJiYGqampmDhxoj67UJMxmRtIvzsuN5UrV8b9+/fluvb29vkW219//YW4uDgAgJeXF5ycnPKtLyIiIjIMvSRSqamp+PHHH7FgwQI5ecjwdiI1fvx47NixA5UqVcLBgwcV9RsbGytv29nZ5Vq+fPnyGuvq29OnT/HNN9/I77///vtc66SkpCAlJUV+r88FRImIiCh/KL609/z5c7zzzjuYPn06YmNjIYSQX5p07doVEREROHz4MM6cOaOo74y1mgDA3Nw81/KlS5eWtxMSEhT1nZ3U1FT06NED0dHRANI/b7du3XKtN2PGDNja2sqvjMuQREREVHgpTqR69OiB8PBwCCHQokULLF68OMfLeS1atEDFihUBFNyk74KSlpaGIUOG4NixYwCAqlWrar1+1Lfffou4uDj5lXEJkoiIiAovRYnU1q1bcfToUUiShK+++grHjh2Dv78/GjZsmGO9du3aQQiBkydPKukeVlZW8rY2j2zJfOectbW1or7fJoTAiBEjsG7dOgCAq6srDhw4gLJly2pV38zMDDY2NmovIiIiKtwUJVJ//fUXAKBevXr45ZdftK6XsZ5S5sniuihTpoy8/ezZs1zLP3/+XGNdpYQQ+PTTT7F06VIAQMWKFXHo0CG4u7vrrQ8iIiIqfBQlUv/++y8kScJHH32Up3oZj3BRugSBh4eHvH3nzp1cy2cuk7muEkIIjBo1CosWLQKQ/vy9kJAQVK1aVS/tExERUeGlKJHKSISqVKmSp3qmpqYA0idmK1G3bl15+/Tp0zmWjYqKkucdOTg46GXpg4wkauHChQCAChUqICQkBNWqVVPcNhERERV+ihKpjDvl8poQZSRg2s4fyk6nTp3k7dwmrgcFBcnbua2Cro23kyhnZ2eEhISgevXqitsmIiKiokFRIuXs7AwAuHr1ap7qhYaGAtBuEc2c+Pj4yAtdHj58GGFhYRrLqVQqzJ8/X37fp08fRf0CwOjRo+UkysnJCSEhIahRo4bidomIiKjoUJRItWzZEkIIbNq0Kdt1o9727NkzbNmyBZIkwcfHR0n3MDY2VltqYcCAAfL6TZlNmDAB4eHhANKXX+jYsaPG9gICAiBJEiRJgq+vb7b9fvbZZ/jzzz8BpCdRhw8f1tucKyIiIio6FK1s3r9/fyxduhQ3b97E9OnTc13BOzU1Ff3790dSUhKMjIwwaNAgJd0DAPz9/bFt2zbs378fly9fRv369eHv7w9PT0/ExMQgMDAQx48fB5B+p97ixYsV9ff9999jwYIFAABJkjB27FhcvXo111E5Ly8vuLq6KuqbiIiIChdFiVTLli3RpUsX7N69G5MmTcL9+/cxfvz4LOWSkpKwb98+TJ06FRcuXIAkSejfvz9q1qyppHsAgImJCbZs2YK+ffti165dePLkCaZNm5alXMWKFbFhwwbUrl1bUX8ZSRmQPk/q22+/1areypUr9ZI4EhERUeGh+Fl7a9euhbe3N65evYply5Zh2bJlao9rsbe3R2xsLNLS0gCkJx8NGjSQL43pg7W1Nf7++2/s2LEDq1evxunTpxEdHQ1ra2tUrVoV3bt3x/Dhw2Fra6u3PomIiIgkoe3kphwkJCRg2LBh2LBhw/8aliQAyDJ3qlevXli+fLnaquSUVXx8PGxtbREXF1fgq5ybuffOtUzK3Y0FEAkREVHhppdEKsPFixexatUqHD16FHfv3kVsbCysrKxQsWJF+Pj4YMCAAWjSpIm+uivWmEgREREVfnpNpEh/mEgREREVfoqWPyAiIiIqyZhIEREREemIiRQRERGRjrRa/mDIkCH50rkkSVi+fHm+tE1ERESU37SabG5kZCQvZ6BvKpUqX9ot6jjZnIiIqPDTekFObW7ukyQpx3JvH8+v5IyIiIioIGiVSN25cyfbY69fv8aECROwdetWWFlZoX///mjbti2qVasGS0tLvHz5EhERETh48CDWrVuHhIQEdO/eHT///DNMTBQvrE5ERERkMIrXkfLz88PmzZvRsmVLrF+/Hk5OTtmWjYqKgp+fH44dO4bevXsjMDBQSdfFGi/tERERFX6K7trbtGkTNm3ahIoVK2LXrl05JlEA4OjoiF27dsHFxQUbN27E5s2blXRPREREZFCKEqkVK1ZAkiQMGTJE62fnWVlZ4ZNPPoEQAitWrFDSPREREZFBKUqkLl68CACoVatWnupllL9w4YKS7omIiIgMSlEi9fz5cwBAQkJCnupllM+oT0RERFQUKUqk7O3tAQB79+7NU709e/ao1SciIiIqihQlUq1atYIQAlu3bsW2bdu0qrN9+3Zs3boVkiShVatWSronIiIiMihFidSYMWNgZJTehJ+fHyZMmIAnT55oLPvkyRN8++238PPzA5C+GOeYMWOUdE9ERERkUIrXkZo8eTKmTp0qr1JuZGSEmjVrolq1arCwsEBSUhIiIiJw7do1pKWlySubT5o0CZMmTVL+CYopriNFRERU+CleWnzy5MmwtbXFd999h+TkZKhUKly5cgVXrlxRK5eRQJmbm+Onn37C559/rrRrIiIiIoNSdGkvwxdffIHLly/j888/h5ubG4QQWV7u7u5q5YiIiIiKOsWX9jR5+vQpHj16hMTERFhZWaFChQq8Qy+PeGmPiIio8MuXpwbb29szcSIiIqJiTy+X9oiIiIhKIiZSRERERDpiIkVERESkIyZSRERERDpiIkVERESkIyZSRERERDrKl+UPqPjLba0prjNFREQlAUekiIiIiHTERIqIiIhIR0ykiIiIiHSkKJEKDg7WVxxERERERY6iRKpTp06oVq0aZs6ciejoaH3FRERERFQkKL60d+fOHfz3v/9FpUqV4Ofnh4MHD+ojLiIiIqJCT1EiNXDgQJibm0MIgdevX2Pz5s3o0KEDatSogdmzZ+PZs2f6ipOIiIio0FGUSK1cuRKPHj3Cb7/9hjp16kAIASEEbt26hW+++QYVK1ZE3759cfjwYT2FS0RERFR4SEIIoa/GTp06hcWLF2PTpk149epVegeSBACoXr06hg8fjoEDB6JcuXL66rLYio+Ph62tLeLi4mBjY1Ogfee22KY2uCAnERGVBHpNpDLExcVh9erVWLp0KS5dupTe0f8nVKVKlULPnj0xbNgwtGzZUt9dFxtMpIiIiAq/fEmkMjt16hQWLVqEzZs3ZxmlqlmzJoYPH44BAwagTJky+RlGkcNEioiIqPDL9wU5mzdvjlWrVuHRo0cYPXq0vF8IgWvXruGLL75AxYoVMWrUKDx8+DC/wyEiIiLSm3xPpN68eYMNGzage/fu+OOPPyBJEjIGwTImpyclJWHRokXw8PDA0qVL8zskIiIiIr3It0QqIiICX3/9NVxcXOQ79zISp6ZNm2LlypV4+PAh5s6dCw8PDzmhGjFiBPbt25dfYRERERHpjV7nSL1+/RpbtmzBkiVLcOTIEQCQR58sLCzw0Ucf4dNPP0XDhg2z1F2zZg1GjhyJpKQk+Pj4ICQkRF9hFUmcI0VERFT4meijkZs3b2LJkiVYtWoVnj9/DuB/CVTNmjUxcuRIDBgwALa2ttm28fHHH+PGjRuYPn06Ll++rI+wiIiIiPKVokQqMDAQS5YswdGjRwH8L3kyNTVF165dMXLkSPj6+mrdXtOmTQFATsaIiIiICjNFiVS/fv3UJo9XrFgRw4YNw9ChQ+Hk5JTn9kqVKqUkHCIiIqICpZdLex06dMDIkSPx/vvvw8hI9/nrTZs2LfFzo4iIiKjoUJRIffXVVxg+fDiqVq2ql2DKli0LHx8fvbRFRERElN8UJVK//PKLvuIgIiIiKnIUrSM1ZMgQDBkyBOHh4Xmqd+nSJQwZMgSffPKJku6JiIiIDEpRIhUQEIBVq1bh3r17ear38OFDBAQEICAgQEn3RERERAaV74+IISIiIiquDJJIqVQqAICJiV5uGiQiIiIyCIMkUnfu3AGAAn/0CREREZE+6WVISJIkrcolJSUhLCwMv/32GyRJQq1atfTRPREREZFBaJ1ITZkyBVOnTs2yXwiBrl276tR5t27ddKpHREREVBjkaUQq41Ew2u7Pia+vL0aPHp3nekRERESFhdaJlLu7e5ZVx48cOQJJkuDp6Qk7O7sc6xsZGcHKygqVK1dGu3bt0LlzZ0WPkyEiIiIyNEnoMpz0/4yMjCBJErZt24YPPvhAn3GVePHx8bC1tUVcXFyBT8o3c++tuI2Uuxv1EAkREVHhpmiyeatWrSBJUq6jUURERETFkaJE6vDhw3oKg4iIiKjo4SQlIiIiIh0xkSIiIiLSkVaX9jKvHzVx4kSN+3WVuT0iIiKiokSru/Yy7s4D/vecvLf36ypze/Q/vGuPiIio8NN6srkQQmPSpGD1BMVJGBEREZEhaZVIhYSE5Gk/ERERUUmgVSL19ormue0nIiIiKgkUrSNFlB1t5llxHhURERV1XP6AiIiISEdMpIiIiIh0VKwSqZ07d6JXr15wd3eHubk5HBwc4O3tjVmzZiE+Pl5v/ahUKly6dAkBAQH47LPP0Lx5c1hYWECSJEiShEGDBumtLyIiIiq8tJojZWxsnC+dS5KEN2/eKG4nMTER/fr1w86dO9X2P336FE+fPsWpU6fw+++/Y+PGjXjnnXcU99e7d29s3bpVcTtERERUtGmVSClZKyq/qVQq9OrVC3v37gUAODo6wt/fH56enoiJiUFgYCBOnDiB+/fvo3Pnzjhx4gRq1aqluM/MypUrh/Lly+PmzZuK2iUiIqKiRatEqlWrVoV28cxly5bJSZSnpycOHToER0dH+fioUaPw1VdfYc6cOXjx4gWGDx+Oo0ePKuqzadOmqFWrFho1aoRGjRqhcuXKCAgIwODBgxW1S0REREWLVonU4cOH8zkM3ahUKkyZMkV+v2bNGrUkKsPMmTNx8OBBhIeH49ixYwgODkaHDh107ve///2vznWJiIio+CjSk82PHj2Kx48fA0hfHNTLy0tjOWNjY4wZM0Z+HxgYWCDxERERUfFWpBOpPXv2yNudO3fOsey7776rsR4RERGRrop0InXx4kV5u0mTJjmWdXJyQqVKlQAAUVFRePr0ab7GRkRERMVfkU6krl+/Lm9Xrlw51/KZy2SuWxikpKQgPj5e7UVERESFm1aTzadOnSpvT5w4UeN+XWVuL69iY2PlbTs7u1zLly9fXmPdwmDGjBlqE+eJiIio8NMqkZo8ebK8/EHmxCfzfl0pSaQSExPlbXNz81zLly5dWt5OSEjQud/88O233+LLL7+U38fHx8uXIomIiKhw0iqRAtIX5dSUNClZrLOwrk1lCGZmZjAzMzN0GERERJQHWiVSISEhedpfUKysrPDixQsAQHJyMqysrHIs/+rVK3nb2to6X2MjIiKi4k+rRMrHxydP+wtKmTJl5ETq2bNnuSZSz58/V6tLREREpESRvmvPw8ND3r5z506u5TOXyVyXiIiISBdFOpGqW7euvH369Okcy0ZFReH+/fsAAAcHB9jb2+drbERERFT85UsiFR0dLT/XLjw8HNHR0fnRDTp16iRv57ZaeVBQkLyd2yroRERERNrQWyIVGRmJr776Cu7u7nB2dkajRo3g6+uLRo0awdnZGZUrV8bXX3+NyMhIfXUJHx8fODk5AUh/sHJYWJjGciqVCvPnz5ff9+nTR28xEBERUcmll0Tqjz/+QO3atTFv3jzcv38fQogsr3v37mHOnDmoXbs2/vzzT310C2NjY7V1qAYMGKBx9GvChAkIDw8HALRo0QIdO3bU2F5AQAAkSYIkSfD19dVLjERERFR8ab2OVHZmzJiB77//HkD6mlJGRkbw9PRE9erVYWlpiZcvXyIiIgJXrlxBWloakpKS8NlnnyE+Ph4TJkxQ/AH8/f2xbds27N+/H5cvX0b9+vXh7+8PT09PxMTEIDAwEMePHweQfqfe4sWLFfd5584dLF++XG3fhQsX5O1z587J30mGNm3aoE2bNor7JiIiosJDUSIVFhaGiRMnQggBY2NjjBkzBuPGjUOFChWylH38+DHmzp2LX3/9FSqVCj/88AM6duyIhg0bKgkBJiYm2LJlC/r27Ytdu3bhyZMnmDZtWpZyFStWxIYNG1C7dm1F/QHplzGnT5+e7fELFy6oJVYZcTKRIiIiKl4UXdr7/fffoVKpIEkS1q5dizlz5mhMogDA2dkZs2bNwrp16wAAaWlpavOWlLC2tsbff/+N7du3o3v37qhUqRLMzMxgZ2eHZs2aYebMmbh06RK8vb310h8RERERAEhCwTNe3N3dcf/+fbz33nvYsWOH1vW6du2KnTt3wtXVFXfv3tW1+2ItPj4etra2iIuLg42NTYH2bebeu0D6Sbm7sUD6ISIiyi+KRqSioqIAAO+9916e6nXp0kWtPhEREVFRpCiRynjMSl4ft6JrPSIiIqLCRNFkc09PT0RHR+PmzZt5qhcRESHXp5Irt0uIvPRHRESFnaIRqf79+0MIgdWrVyM1NVWrOqmpqfJ6TR9//LGS7omIiIgMSlEiNWjQIPj6+uLGjRvo168fXr16lWP55ORk9O/fHzdv3kTr1q0xaNAgJd0TERERGZSiREqSJOzYsQPdu3fHli1bUKtWLcyePRvnzp1DYmIihBBITExEeHg4Zs2ahVq1amHLli3o2bMntm/frqePQERERGQYWi1/YGxsnGtDGc1IkqR1GUmS8ObNG60CLWlKwvIHueEcKSIiKuy0mmyel6WmtCmrYOkqIiIiokJDq0SqVatWOY40EREREZVEWiVShw8fzucwiIiIiIoeRZPNiYiIiEoyJlJEREREOmIiRURERKQjJlJEREREOlL0rL3MkpKSsGPHDoSGhuLBgweIj4+HSqXKsY4kSTh48KC+QiAiIiIqUHpJpBYtWoT//ve/iIuL07qOEIJLKhAREVGRpjiR+vHHHzFp0iStFtnMSJy4ICcREREVB4rmSF27dg2TJk0CANSoUQMHDx6UH1wsSRK2b9+OxMREXLx4ETNnzoSzszMAYPDgwUhOTs710h8RERFRYaZoRGrRokUQQsDCwgLBwcFwdXXNUsbCwgK1a9dG7dq14e/vjw8//BABAQF4+fIl1q9fr6R7Kua0eeYfn8dHRESGpGhE6siRI5AkCb169dKYRL2tTJky2L59O8qVK4dNmzZh586dSronIiIiMihFidS9e/cAAO+8847G46mpqVn2lS1bFgMHDoQQAmvWrFHSPREREZFBKUqkEhISAAD29vZq+0uXLq12/G0NGzYEAJw5c0ZJ90REREQGpSiRsrS0BJB15MnW1hbA/0as3vbmzRsAQFRUlJLuiYiIiAxKUSLl7u4OIGtC5OHhASEETpw4obHe+fPnAQClSpVS0j0RERGRQSlKpOrXrw8hBC5evKi2v1WrVgCAkJAQnD17Vu3Y7du3sWzZMkiShFq1ainpnoiIiMigFCVSvr6+AIBDhw6p7R8wYABMTEyQlpaGNm3a4Ouvv8aSJUvw9ddfo3HjxkhMTAQA9OnTR0n3RERERAYlCQXLjD9//hxOTk5IS0vDsWPH4O3tLR+bPHkypk6dqvExMEIINGrUCCdOnODlvWzEx8fD1tYWcXFxsLGxKdC+tVm/qbDgOlJERGRIihbkLF++PG7cuIHU1FQ4ODioHZs8eTIsLS0xbdo0eQQKSF/xvHfv3li0aBGTKCIiIirSFI1IaSMlJQWnTp3CkydPYGlpicaNG8uPiqHscURKOxyRIiIiQ1L80OLcmJmZyXOpiIiIiIoTRZPNiYiIiEqyfBuRio2NRUJCAqytrVGmTJn86oaIiIjIYPSWSCUmJiIgIACbN2/G2bNnkZSUJB+zsLBA48aN0atXLwwYMABWVlb66pZKOG3mc3EeFRER5Re9TDb/+++/MWzYMERHRwNIX94gS0f/vwyCg4MDli5divfee09pt8UaJ5vrDxMpIiLKL4rnSK1evRrdu3dHdHQ0hBAQQsDa2hoNGjRAixYt0KBBA9jY2MjHoqKi0LVrV6xZs0Yf8RMREREZjKJEKiIiAiNGjIBKpYIQAt26dcOpU6cQFxeHsLAwHDt2DGFhYYiNjUVoaCh69OgBAEhLS8Pw4cNx69YtvXwIIiIiIkNQlEjNmzcPycnJkCQJv/zyC7Zs2YJmzZppLNu0aVNs2rQJs2fPBpC+vtS8efOUdE9ERERkUIoSqeDgYEiShFatWuGrr77Sqs6XX34JHx8fCCGwb98+Jd0TERERGZSiROrhw4cAgJ49e+apXkb5jPpERERERZGiRCpjGQNHR8c81ct4Lh+XQSAiIqKiTFEiVa1aNQDAvXv38lTv/v37AIDq1asr6Z6IiIjIoBQlUn5+fhBC4K+//tK4dpQmQgisW7cOkiShT58+SronIiIiMihFC3KmpKSgWbNmuHjxIj777DP8+uuvudb54osv8Ntvv6FBgwYIDQ1FqVKldO2+WOOCnAWHC3YSEZGuFI1ImZmZYffu3WjWrBl+//13vPPOO9i8eTNevHihVi42NhabNm1C8+bNMX/+fDRv3hy7d+9mEkVERERFmlYjUlWqVMnx+OvXr/Hw4UP5MTAAULZsWVhaWuLly5dyYiWEgCRJqFChAkxNTSFJEhflzAZHpAoOR6SIiEhXWj20+O7du5AkKdt5UJIkyUlURpmYmBjExMRkKQcAjx49kpMqIiIioqJKq0TK1dWVSQ8RERHRW7QekSIqrrS5lMnLf0REpImiyeZEREREJRkTKSIiIiIdMZEiIiIi0pFWc6S09ezZM+zevRuhoaF4/PgxEhISYG1tjQoVKqBZs2bo0qUL7Ozs9NklERERkcHoJZFKSkrC119/jRUrViAlJUVjmcWLF8PMzAxDhw7FzJkzUbp0aX10TURERGQwii/tPXv2DE2aNMHChQuRnJwMIUS2r+TkZPzxxx9o0qQJnj9/ro/4iYiIiAxG8YhUjx49cPXqVQBA6dKl8dFHH6Fjx46oUaMGrKyskJiYiBs3bmDfvn1Yv349kpKScOXKFfTo0QOHDx9W2j0RERGRwSh6aPG2bdvQo0cPSJKEBg0aYOvWrXBzc8u2fGRkJHr27ImzZ89CkiRs3boVH374oa7dF2t8REzhwnWkiIhIE0UjUuvXrwcA2NvbY//+/ShXrlyO5d3c3LB3717Url0bT58+xV9//cVEioqE3JJLJlpERCWTokTqn3/+gSRJGDJkSK5JVIby5cvjk08+wYwZM/DPP/8o6Z6o0ODq6EREJZOiyebR0dEAgHr16uWpXt26ddXqExERERVFihKpUqVKAQBSU1PzVC+jvKmpqZLuiYiIiAxK0aW9ChUq4Pr16zh27BgGDBigdb2jR48CAFxcXJR0T1SkcJ4VEVHxo2hEytfXF0IIrFmzBufPn9eqTnh4ONauXQtJkuDr66ukeyIiIiKDUpRIDR06FJIk4fXr12jXrh22bt2aY/mtW7eiffv2SE1NhSRJ8Pf3V9I9ERERkUEpWkcKAEaNGoWFCxdCkiQAQJUqVdC+fXvUqFEDlpaWePnyJW7evIn9+/fj1q1bEEJAkiSMHDkSCxYs0MuHKI64jhRpwst/RESFi+JEKi0tDQMHDsS6devSG/z/hEqTjK769++PgIAAGBkpfkJNscVEijRhIkVEVLgozmSMjIywZs0abNiwAV5eXjk+a69Ro0bYtGkTVq9ezSSKiIiIijzFI1Jvu3fvHv755x88fvwYCQkJsLa2hrOzM5o1awZXV1d9dlWscUSKdMVRKyKigqNo+YPVq1cDAJycnNChQwcAgKurKxMmIiIiKhEUXV8bNGgQBg8ejOPHj+srHiIiIqIiQ1EiZWVlBQDw9PTUSzBERERERYmiS3vOzs6IiIjA69ev9RUPESnEFdSJiAqOokSqdevWiIiIwOnTp/Hxxx/rKyad7dy5E2vWrMHp06fx5MkT2NjYoFq1aujWrRuGDx+eL5O2DdEnkRL6uJmAyRgRUTpFd+2dO3cOTZs2hYWFBa5cuWKwZ+clJiaiX79+2LlzZ7ZlKlWqhI0bN+Kdd94pEn3yrj0qzJhIERGlU7z8wS+//IIJEyagZs2aWL9+PerVq6ev2LSiUqnw3nvvYe/evQAAR0dH+Pv7w9PTEzExMQgMDMSJEycAAGXLlsWJEydQq1atQt8nEykq6phsEVFJoCiRylj+YMOGDdizZw+MjIzwn//8By1btkTFihVRunTpXNsYMGCArt0DABYvXowRI0YASJ/0fujQITg6OqqV+eqrrzBnzhwAQMuWLXH06NFC3ycTKSrqtEmkOJ+LiIo6RYmUkZGR2iNhMp6jp3XnkoQ3b97o2j1UKhUqVaqEx48fAwDOnj0LLy8vjeUaN26M8PBwAMC+ffvkda8Ka59MpKio00cipa9+iIjyi6LJ5sD/np+X3fv8dPToUTmh8fHx0ZjQAICxsTHGjBmDIUOGAAACAwN1TqQM0SdRUVRQCTlHtYjIkBQlUitXrtRXHDrZs2ePvN25c+ccy7777rsa6xWFPolIdxz1IqL8pCiRGjhwoL7i0MnFixfl7SZNmuRY1snJCZUqVcL9+/cRFRWFp0+fwt7evkj0SUSGVVCja0zYiIoexZf2DOn69evyduXKlXMtX7lyZdy/f1+uq0tSY4g+iahkKEyjZ7xkSqQdnROphw8f4sKFC4iLi4OtrS3q1q2LihUr6jO2XMXGxsrbdnZ2uZYvX768xrqFoc+UlBSkpKTI7+Pi4gCkTzovaCKNK9UTFVWlXLsVmX6eXVqVaxm7OgVz5SO3WLSJQ5vPU5zk9p0Uh+/D2to615vo8pxI/fvvv/jiiy8QGhqa5dg777yDefPmoWnTpnltVieJiYnytrm5ea7lMy/HkJCQUKj6nDFjBqZMmZJlf6VKlfIYIRFR0WBra2voEGT6iKUwfZ7CoDh8H9rcOZ+nRCo4OBhdu3ZFSkqKxrvzTp06BR8fH2zfvh0dO3bMW7Ql3Lfffosvv/xSfp+WloaYmBiUL18+T0tK5FV8fLw8j4uPs6HCjOcqFSU8X4sHa2vrXMtonUglJCRg4MCBSE5OlvdVq1YNDg4OiI6ORkREBID0S1QDBw7EjRs38v3ksbKywosXLwAAycnJsLKyyrH8q1ev5G1tvpyC7NPMzAxmZmZq+8qUKaNTjLqwsbHhf+xUJPBcpaKE52vxZ6RtwTVr1iAqKgqSJKFx48a4fPkybty4gePHj+PGjRu4cuWKfEnv6dOnWLNmTb4FnSFzovHs2bNcyz9//lxj3cLeJxERERVOWidSGesg2dnZYd++fVmeHVezZk3s2bMHDg4OauXzk4eHh7x9586dXMtnLpO5bmHvk4iIiAonrROpCxcuQJIkDBgwAGXLltVYpmzZshgwYACEEGrrLeWXunXrytunT5/OsWxUVJS8DIGDg4POyxAYos/8ZGZmhkmTJmW5rEhU2PBcpaKE52vJoXUiFRMTAwBo0KBBjuXq168PQP2SVn7p1KmTvJ3bCFhQUJC8nduK5IWtz/xkZmaGyZMn8z92KvR4rlJRwvO15NA6kXr58iWA3CdpZ0y+zjzJOr/4+PjAyckJAHD48GGEhYVpLKdSqTB//nz5fZ8+fYpUn0RERFQ4aZ1IFUbGxsaYOHGi/H7AgAGIjo7OUm7ChAkIDw8HALRo0SLbpRkCAgIgSRIkSYKvr2+B9ElERERFV5F+RAwA+Pv7Y9u2bdi/fz8uX76M+vXrw9/fH56enoiJiUFgYCCOHz8OIP2uucWLFxfJPomIiKjwyXMilZ+LQ+rCxMQEW7ZsQd++fbFr1y48efIE06ZNy1KuYsWK2LBhA2rXrl0k+yQiIqLCJ8+X9rp27QpjY+NsX927dwcACCFyLGdsbAwTE/0MiFlbW+Pvv//G9u3b0b17d1SqVAlmZmaws7NDs2bNMHPmTFy6dAne3t566c9QferLzp070atXL7i7u8Pc3BwODg7w9vbGrFmzDPJsPyo5EhISsGXLFowePRre3t6wt7eHqakpbGxsULNmTQwYMAB79+7V+OSE7ERERGD8+PGoU6cObG1tYWVlBQ8PD4waNUq+vE6kb4MGDZKngkiShMmTJ2tVj+drMSS0JEmSMDIyEkZGRkKSpGxfGWVyK5dRlgpOQkKC+OCDDwSAbF+VKlUSp06dMnSoVAzNmTNHmJub53j+ZbxatmwpIiMjc21z8eLFonTp0tm2Y2xsLKZMmVIAn45KkqCgoCzn2qRJk3Ktx/O1eMrTkJDQ4l+J2pShgqdSqdCrVy/s3bsXAODo6JhlXteJEydw//59dO7cGSdOnMiy6CqREjdu3JAfMeXi4oJ27dqhUaNGcHBwQHJyMkJDQ7F27VokJibi2LFj8PX1RWhoqLzI79vWrl2L4cOHAwCMjIzQp08ftG3bFiYmJjhx4gRWrVqFlJQUeS2fb775psA+KxVf8fHx8nlnaWkp39GeG56vxZihMzkqGIsWLZL/1ePp6SmePHmSpcy4cePURgSI9GnEiBGiQ4cOIjg4WKhUKo1l7t69Kzw8POTzcPDgwRrLRUdHCxsbGwFAGBkZiR07dmQpc+rUKWFhYSEACBMTE3Ht2jW9fh4qmYYNGyaP3n/55ZdajUjxfC3emEiVAG/evBHOzs7yf/Bnz57NtlyDBg3kcvv27SvgSKk4e/78uVblwsPD5XPQwsJCvHz5MkuZr7/+Wi7z2WefZdvWnDlz5HIfffSRzrETCSHEwYMHhSRJAoD4+++/xaRJk7RKpHi+Fm9Feh0p0s7Ro0fx+PFjAOkLinp5eWksZ2xsjDFjxsjvAwMDCyQ+KhnKlSunVbn69evLz6VMSkpCREREljIbNmyQt7/44ots2/L394elpSWA9JssCmKhYCqekpKS4O/vDyEE/Pz88N5772ldl+dr8cZEqgTI/Cib3B5V8+6772qsR1SQbGxs5O23/5hcuXIFkZGRAIBatWqhcuXK2bZjbW2Nli1bAkh/OsORI0fyIVoqCb799lvcvn0b5cqVw2+//aZ1PZ6vxR8TqRIg8wOkmzRpkmNZJycnVKpUCUD6Q5efPn2ar7ERvS01NRU3btyQ37u5uakdz8v5/HaZgniYOhU/J0+exIIFCwAAs2fPhqOjo9Z1eb4Wf0ykSoDr16/L2zn9a0hTmcx1iQrCX3/9hbi4OACAl5eX/GzLDDyfqSAlJydjyJAhSEtLQ9u2bTF48OA81ef5WvwxkSoBYmNj5W07O7tcy5cvX15jXaL89vTpU7Xbvr///vssZXg+U0GaOHEirl+/jtKlS+v0uC+er8UfE6kSIDExUd42NzfPtXzp0qXl7YSEhHyJiehtqamp6NGjh/wQ8K5du6Jbt25ZyvF8poJy+vRpzJ07FwAwZcoUVK1aNc9t8Hwt/phIEZHBpaWlYciQITh27BgAoGrVqlixYoWBo6KSLDU1FUOGDIFKpYKXlxe+/PJLQ4dEhRQTqRLAyspK3s5YWTonme+Ssra2zpeYiDIIITBixAisW7cOAODq6ooDBw6gbNmyGsvzfKaC8OOPP+LSpUswNjbG0qVLYWxsrFM7PF+LPyZSJUCZMmXk7WfPnuVa/vnz5xrrEumbEAKffvopli5dCgCoWLEiDh06BHd392zr8Hym/Hb+/Hn8/PPPAIAvv/wy27X3tMHztfjL07P2qGjy8PDAnTt3AAB37tzJ8Y9URpnMdYnygxACo0aNwqJFiwCkP38vJCQk13komc/JzOdqdng+U14FBATg9evXMDIygqmpKX788UeN5Y4ePaq2nVHOw8MDvXr1krcz8HwtnphIlQB169aVH1Z8+vRptG7dOtuyUVFRuH//PgDAwcEB9vb2BRIjlSwZSdTChQsBABUqVEBISAiqVauWa926devK26dPn861fOYyderU0SFaKmmEEADS5+799NNPWtUJCQlBSEgIAODDDz+UEymer8UfL+2VAJ06dZK3c1utPCgoSN7ObRV0Il28nUQ5OzsjJCQE1atX16q+p6cnXF1dAQBXr17F3bt3sy2bmJgoT2C3sLCAj4+PsuCJ8ojna/HHRKoE8PHxkRc1PHz4MMLCwjSWU6lUmD9/vvy+T58+BRIflSyjR4+WkygnJyeEhISgRo0aeWrDz89P3s64PV2TJUuW4OXLlwCADz74ABYWFjpETCXNr7/+CiFErq9JkybJdSZNmiTv3759u1p7PF+LuYJ+SjIZxp9//ik/Vbx27doiKioqS5mvvvpKLtOiRQsDREnF3ejRo+VzzMnJSVy7dk2ndqKiooS1tbUAIIyMjMSOHTuylAkNDRUWFhYCgDAxMRFXr15VGj6RmkmTJsnn86RJk7Itx/O1eOMcqRLC398f27Ztw/79+3H58mXUr18f/v7+8PT0RExMDAIDA3H8+HEA6XeK6LKCL1FOvv/+e/l5ZZIkYezYsbh69SquXr2aYz0vLy/50kgGBwcH/P777xg0aBDS0tLQrVs39OnTB+3bt4exsTFOnDiBVatWybebT5kyBTVr1syfD0aUC56vxZyhMzkqOPHx8eK9996T/wWl6VWxYkVx4sQJQ4dKxZCPj0+O5152r5UrV2bb5p9//inMzc2zrWtsbCwmTpxYcB+SShRtR6Qy8HwtnjgiVYJYW1vj77//xo4dO7B69WqcPn0a0dHRsLa2RtWqVdG9e3cMHz4ctra2hg6VSCsjR45Eu3btsGjRIuzduxf3799HWloaKlSogLZt22LYsGFo2LChocMkAsDztbiShPj/+zyJiIiIKE941x4RERGRjphIEREREemIiRQRERGRjphIEREREemIiRQRERGRjphIEREREemIiRQRERGRjphIEREREemIiRQRERGRjphIEREREemIiRQRERGRjphIEZGayZMnQ5IkSJKEw4cPGzqcIik5ORm//PILmjdvjrJly8LY2Fj+Tu/evWvo8IhIj5hIUYmU8Uct47V3795c69y9e1cu/5///KcAoqSi6NWrV2jVqhW++eYbhIaGIjY2FmlpaYYOi4jyiYmhAyAqDL799lt07NgRkiQZOhQq4hYtWoTTp08DADw9PTF8+HC4uLjA2NgYAODg4GDI8IhIz5hIEQEIDw9HYGAg+vbta+hQqIjbvXs3gPRRz3379qFixYoGjoiI8hMv7VGJZm5uDiOj9P8MfvjhB7x+/drAEVFRd//+fQDpI09MooiKPyZSVKKVL18eH3/8MQDg9u3bWLx4sYEjoqIuJSUFQHqSTkTFHxMpKvGmTp0KMzMzAMC0adOQmJioc1uDBg3S+u6sgIAAuWxAQECW45kntw8aNAgA8OTJE3z33XeoU6cObGxsYGdnh5YtW2Ljxo0QQqjVv3TpEvz9/eHh4QELCwuUL18eXbp00elOvEOHDqF3795wc3ODubk5HB0d0aVLF2zZskXrNlQqFdatW4devXrB3d0dlpaWsLKygoeHB/z9/XHmzJkc62v6vsLCwjBixAjUqFED1tbW2X6X2oqNjcXPP/+Mli1bwtHREaVKlYKDgwP+85//YMaMGYiNjdVYL/OdjpGRkQCAyMjILDc16BrbsWPHMGTIENSqVQvW1tYwNTWFg4MDPD090alTJ0ybNg03btxQq9OkSRNIkgRjY2N5lCwnQghUrVoVkiShdOnSePHihXxM07kYGxuLn376CV5eXihTpgwsLS3h6emJ8ePHIzo6Otf+bty4gblz56Jbt26oXr06rKys5O+7VatW+PHHH/Hs2bNc28mIy9fXFwDw4sULTJ8+HV5eXihXrpxaXE+ePMm1vSdPnmDKlClo0aIF7OzsYGpqCltbW1StWhXNmzfHp59+iqCgoFxvIAgPD8fYsWNRv359lCtXDmZmZqhQoQK6dOmCFStW4M2bN7nGosvvTgYgiEogAAKAcHFxEUII8cUXX8j7pkyZorHOnTt35DItWrTQWGbgwIFymTt37uQYw8qVK+WyK1euzLG/gQMHiuPHjwsHBwd539uvYcOGibS0NCGEEIsXLxYmJibZll24cGG2cU2aNEkuFxISIr788sts2wEgunbtKpKTk3P8rBcvXhQ1a9bMsR0AYvTo0eLNmzdafV8zZ84UxsbGWdrQ9F1qY/fu3aJcuXI5xleuXDmxe/fuHL+znF55jU2lUonhw4dr1XaXLl3U6i5fvlw+NnHixFz72rdvn1x+wIABasfePhfPnj0rXF1ds43F0dFRXLx4Mdu+Vq1apdVnsrGxEbt27cox7oyyPj4+4uLFi8LNzS3b9sqUKSP27t2bbVtBQUHC2tpaq9iePn2qsY3k5GQxZMgQIUlSjvVr164tbt26pbENJb87FTxONicC8N1332H58uWIj4/H7NmzMXLkSNjb2xs6LNm9e/fQtWtXxMXFYdCgQfDx8YG5uTlOnz6NhQsX4tWrV1iyZAmaN28OGxsbDB8+HHZ2dhgyZAjq16+PN2/eYPfu3di4cSMAYMyYMfD19UXNmjVz7Pf333/H1q1bYWtriyFDhqBRo0ZQqVQ4ceIEVq1ahZSUFGzfvh19+/bNdnTq3Llz8PHxQUJCAgCgZcuW6NKlC9zc3JCWloYLFy4gICAAUVFRWLBgAVJTU3O9xLpx40bs2bMHVlZWGDBgAJo2bQpTU1NcuXIFTk5Oef5+9+3bhw8//FAeJWjWrBn69OmDChUq4PHjx1i/fj1CQ0MRExODDz/8ELt27ULHjh3l+n369EGDBg0AAMOGDcPTp09hb2+PJUuWqPXj5eWVp7gWLFggfxfW1tbo2bMnGjVqBHt7e6SmpuLBgwc4c+YMDhw4kKVunz59MG7cOMTGxmLFihWYOHGifOegJpm/8+HDh2db7v79++jcuTOePn2KHj16oH379ihXrhzu3r2LJUuWICIiAlFRUfDz80N4eDhMTU2ztJGUlARJklC/fn20atUKNWvWRLly5QAADx48wIEDB7B3717Ex8ejR48eOHnyZK7fXVxcHD788ENERkaiVatW6NmzJxwdHXHv3j2sW7cO4eHhiI2NRdeuXXH06FE0adJErf6jR4/Qu3dveUTax8cHXbp0gZOTE8zMzPDs2TNcunQJBw8ezHYU6M2bN+jUqZM86luhQgX06dMH9erVg4WFBR48eICtW7fi+PHjuHz5Mlq1aoVz585l+X+Nkt+dDMDQmRyRIeCtESkhhPjxxx/l/WPGjMlSx5AjUvj/0ZAzZ85kKRcSEiL/69fd3V2UL19eNGnSRDx//jxL2YkTJ8rtffrppxrjent0pXr16uL+/ftZyl28eFHY29vL5QIDA7OUefnypahSpYoAICwsLMTOnTs19hkbGytat24tt7V///4sZTJ/XwBEjRo1RGRkpMb28iIhIUE4OjrK7U6ePFke2cuQlpam9t05OjqK+Ph4je1ljIi4ubkpjq127doCgChbtqy4e/dutuVevXolQkNDs+wfO3asHHN2370QQjx+/FgewaxTp06W42+fi9bW1uLIkSNZyiUkJIgGDRrI5bZs2aKxv0uXLombN29mG48QQuzfv19YWFgIAKJt27bZlsscFwAxc+bMLGXevHkjRo8eLZfx9PQUKpVKrcysWbPk4/Pnz88xttDQUPHq1ass+ydMmCC34e/vr7GMEEL89ttvcrl+/fplOa70d6eCxUSKSiRNiVRiYqJwcnISAESpUqWyJEKGTqTWrVuXbVvt2rWTy5mZmWX7P9+kpCRhZWUlAIgqVapoLJM5kTIyMhLnzp3Ltt8dO3bIZRs2bJjleOY/GGvWrMm2HSGEePbsmbCxsREARKdOnbIcz/x9SZIkwsLCcmxPW/Pnz5fb7dy5c45lO3XqJJf99ddfNZbRZyJlZmYmAIhevXrpVP/atWtyvO+991625aZPny6X+/3337Mcf/tcXLFiRbZt7dmzRy43dOhQneLO8P3338ttPXjwQGOZzHF1794927ZUKpVo3LixXHbHjh1qxzNfSnv58mWeY42KihLm5uYCgGjXrl2u5fv27SsACGNj4yyfTenvTgWLk82J/p+lpSUmTpwIAEhNTcUPP/xg4Ij+x8HBAX5+ftkez7zS+vvvvw83NzeN5UqXLo3GjRsDAO7cuYPk5OQc++3QoYN8yUqTDz74AB4eHgDSL+Hdvn1b7fiqVasAAC4uLrmu0ZUxGR4ADh8+LN/9psl//vMfNGzYMMf2tLV161Z5+5tvvsmx7H//+1+N9fKLpaUlAODixYtITU3Nc30PDw+0adMGALBnzx6Nk86FEFi2bBkAwMLCQr6LNTt2dnY5lmndujVMTNJnjVy6dCnPMWeW+bwODQ3NtfzXX3+d7TEjIyOMGzdOfr9582a14xnfNQCcPXs2L2ECADZs2CD/9zR+/Phcyw8cOBBA+k0YBw8e1BiLrr87FSzOkSLKZOjQoZg7dy4iIiLw119/Yfz48ahXr56hw0Ljxo1znN+SeV5Q06ZNc2wro6wQArGxsTnOKWrXrl2usbVr1w7Xr18HAPz777+oUqUKACA+Ph7h4eEAAGdnZ+zcuTPXtjKSp+TkZNy5cyfbOVwtW7bMtS1tCCHw77//AkhPInJ79E+LFi1gaWmJly9f4vTp00hLS5PXIcsPHTp0wPr163Ht2jW0bdsWX375JTp27AgLCwut2xg5ciQOHToElUqF5cuXY/LkyWrHg4ODcefOHQCAn58fbG1tc2yvSZMmcqKkiZmZGezs7PDkyRO1O/80OX78OAIDA/Hvv//i9u3bSEhIyHYttwcPHuTYlo2NTa7nfubzOeN3z9ChQwfMnTsXANC9e3d888036NWrV7b/KHnb0aNH5e2oqChs3749x/IPHz6Ut69cuZIlFqW/OxUcJlJEmZiamuLHH39Enz59kJaWhm+//VZeqdqQypcvn+PxjOUb8lo2txGp6tWr5xpb5jKPHj2St+/fvy/fIn7mzBl069Yt17Yyi4mJyfaYvha6jI+PR1JSEgCgatWquSZFRkZGqFatGs6fP49Xr14hNjZWniSdH2bOnInjx4/jwYMHOH78OI4fPw5TU1N4eXnB29sbvr6+6NChQ45rVnXt2hUVKlTAo0ePsGLFCvzwww9qSXnmCfE5TTLPYGdnl2uZjHMsu/MrMTER/fv3x44dO3JtK0N8fHyOxzOWbsiJnZ0dypQpg9jYWLVzFQA6duyIAQMGYPXq1Xj27BnGjx+P8ePHo3LlymjevDlatWqFzp07o1KlShrbzrzcyYABA7T7UP/v7XNdH787FRxe2iN6S+/eveU7hIKCgtT+pWkoeRn10OcISebLHdqUybgzD0C2ay5pK6dLGqVLl1bUdobM8WrzWQHAyspKY/384OrqinPnzuHzzz+XE7bXr1/jn3/+wbx58/Dhhx/C0dEREydOzPZSqImJCYYOHQogPbnds2ePfOzJkyfySGH9+vXRrFmzXGPSx/nl5+cnJ1GWlpbo3bs3ZsyYgVWrVmHTpk3Ytm0btm3bhmnTpsl1VCpVjm1q+/tllNO0XlxAQAACAgLURqHv3LmDv/76CyNGjICbmxu6dOkij8BmpuR8f/tc18fvTgWHiRTRWyRJws8//yy/nzBhQr70k9sfhsLg5cuXeSpjbW0tb2dOOLp37w6RfnOL1q+MBRbzU+Z4tfmsgPof4Mz184udnR3mzZuHqKgo+Q9pr1695D+w8fHxmDZtGjp37pztIpHDhg2TR6Eyj0BlXhhSm9EofThx4gSCgoIAAHXr1kVERAQ2bNiACRMmYMCAAejZsye6du2Krl275mkenLa/X0a5zOdnBkmSMHDgQJw/fx53797F2rVrMWrUKNSuXRtA+qXgoKAgNGnSBBcvXlSrm7m9+Pj4PJ3rmhZq1cfvTgWDiRSRBu3bt5fnU5w6dQrbtm3Tql7my2a5TRLVZtVmQ4uIiMhTmQoVKsjbLi4u8rY2K2sbgo2NjTxCcfv27Vz/IKWlpeHWrVsA0kfFypQpk98hykxMTNC0aVN8/vnn2LhxI6Kjo7Fp0yZ5TtOhQ4eyPU9dXFzwwQcfAEgfZX3w4AGEEFi6dCmA9FGafv36FcjnCA4Olrd/+umnHOfoZczd0satW7eyrO7/tufPn8sjR5nPVU3c3NzQr18/LFiwAJcuXcKVK1fg4+MDIH0kMvONB4D65WZ9nu9KfncqGEykiLLx888/y3MuvvvuO61GkMqWLStvZ55MqsnJkyeVBVgA9u/fn2uZzIsCZr40ZGdnJ/9LPiwsDFFRUfoPUCFJkuSFGV++fIkTJ07kWP7EiRPyiFSTJk3ydaJ5boyNjdGzZ0+1yePHjh3LtvzIkSMBQJ50HhwcLM/r+eijj2BjY5Of4coyP6alWrVqOZbNfBkyN/Hx8VkmkL8tu3NVG7Vq1cKWLVvk3/zt7zojyQLyFnde5fV3p/zHRIooG40aNUKvXr0AAFevXtXqOWkZiQOAHFcdvn79unx5ozDbv38/Lly4kO3x3bt349q1awDSV+2uXLmy2vHMt3hnLC1R2PTo0UPenjlzZo5lM1/yzVzPkDJ/5zk9v61du3byjQHLly/HwoUL5WMFdVkPUJ/LlNOI56lTp/KckMyePTvbY2lpafJdeQDQs2fPPLUNpN/IkZFwvv1d9+nTRx6Rnjt3br6POGv7u1P+YyJFlIMff/xRvtV73rx5uZZv3769XP6PP/7Q+Ifi4cOH6NGjR5H4n59KpULv3r2z3OEEpN+y/cknn8jvNa3hM2rUKLi7uwNIn5vzzTffZHt7O5B+OXTjxo34448/lAevpUGDBsHR0RFAemKYeYJzZtOmTZOTX0dHRwwePDhf43r8+DHGjRsnX0rU5M2bN/LlOQA5rvklSRJGjBgBIP3SU8Zkby8vL3ltsYKQ+dEsU6ZM0Xhn34ULF9CzZ89cL9W9bfPmzWrJUoa0tDR8+eWX8ohV7dq15TXLMseyb9++HC/vBgYGypcG3/6uK1asiDFjxgBIv3u1Y8eOWdZVe9v58+ezJLH6/t0p/3H5A6IcVK9eHUOHDsWiRYu0mszq5OSEAQMGYMWKFYiLi0PTpk0xcuRI1KtXDykpKTh9+jRWrVqFpKQk+Pn5YcOGDQXwKXTXo0cPbNmyBbVr18Ynn3wCLy8vqFQqnDx5EgEBAfIfwe7du2tcMNTCwgI7d+5Eq1atEBsbi19++QVr165Fz549Ub9+fdjY2CApKQn3799HWFgYDhw4gPj4eLUELb9ZWVlh1apV6NKlizxytmfPHvj5+cHZ2RlPnjzB+vXrcerUKQDpc1ZWrVqV7xPNU1JSMHfuXMydOxeNGjVCy5YtUatWLZQtWxaJiYm4ffs2AgMD5T+4VapUQZ8+fXJsc9CgQfjuu+/UkpeCHI0C0s8VV1dX3Lt3D2fOnIGHhweGDh2KatWqISkpCUeOHMH69evx+vVrDBw4UF7UNTcNGjRAfHw8xo0bh507d6Jnz55wcHDA/fv3sW7dOpw7dw5A+jzGlStXZrksGxISgsmTJ8PBwQEdO3ZEgwYN4OTkBCMjIzx+/Bj79u1Tu9T99hwpIH3O1/nz5xEcHIywsDDUrFkTH3zwAVq2bAlnZ2ekpaXJz+wLCQnBjRs3YGxsrPacw/z43SmfFcTy6USFDTQ8IiY7jx49kp/5lfHK7hExQqQ/N65Zs2ZZngGW8SpdurRYvXp1nh4RM3DgwBxjzK2tzHJ7jE3mR8SEhISIcePGZftZAIgPP/ww22eKZYiIiMjxO8n8kiRJTJw4UdFn1MWuXbtE2bJlc4ytbNmyYteuXTm2o69HxNy9e1er7wtIfz5eRESEVu1m/v2tra1FQkJCrnXyci4Kkft3cObMGWFnZ5ft5zE2NhY///yzCAkJkfdNmjRJY1sZx318fMTFixeFu7t7tu3a2tqKvXv3amzH19dXq+/a0tIyx0fkpKaminHjxsnPLszt9fZ3lF+/O+UfjkgR5cLZ2Rmff/45fvrpJ63K29ra4siRI1i0aBECAwNx9epVpKamwsXFBR07dsSYMWPg4eGh1ZyrwmD27Nl49913sXjxYoSGhiIqKgq2trZo1KgRPvnkE63mmlStWhWhoaEIDg7Gpk2bcPLkSTx69AgJCQmwsLCAi4sLPD094ePjg/fffz/LXKuC0KVLF9y+fRsLFy7E7t27cf36dcTGxqJMmTKoUaMGunTpgk8//bTA7tRzc3PDrVu3sG/fPpw8eRIXLlzAvXv3kJCQgFKlSsHJyQkNGzZEjx490Lt37xxXG8+sQ4cO8ihP3759NS4DkN8aNWqECxcuYM6cOdi1axciIyNhYmKCChUqoHXr1hg2bBi8vLxw+PDhPLVbp04dnDt3DgsWLMDWrVtx584dpKSkwNXVFe+99x7GjRsHZ2dnjXX//vtvHDhwAEeOHEFYWBgiIiLw7NkzCCFQpkwZ1KxZE+3atcPQoUNzvOPP1NQUs2fPxmeffYYVK1YgJCQEN2/eRExMDIyMjFC+fHnUqFEDzZo1Q8eOHdGqVSu1+vn1u1P+kYTI40VoIiIqsrp27SrPjwoLC9PbMwsNJePOWh8fnzwnXkT6wMnmREQlxP3797Fr1y4A6bf/F/UkiqgwYCJFRFRCTJ48WV4P7fPPPzdsMETFBC+uEhEVUxEREYiIiEBCQgJ27dqF1atXA0h/NEvv3r0NHB1R8cBEioiomFq7di2mTJmits/CwkLj7f9EpBv+l0REVMxJkgQXFxf07NkTp0+fRqNGjQwdElGxwbv2iIiIiHTEESkiIiIiHTGRIiIiItIREykiIiIiHTGRIiIiItIREykiIiIiHTGRIiIiItIREykiIiIiHTGRIiIiItLR/wEgD8PQcwwv/AAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_FS_np2/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_FS_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np3/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 72/180 (139 neurons)\n", - "Processing hyper voxel : 71/180 (131 neurons)\n", - "Processing hyper voxel : 67/180 (105 neurons)\n", - "Processing hyper voxel : 66/180 (100 neurons)\n", - "Processing hyper voxel : 42/180 (81 neurons)\n", - "Processing hyper voxel : 41/180 (74 neurons)\n", - "Processing hyper voxel : 101/180 (73 neurons)\n", - "Processing hyper voxel : 102/180 (71 neurons)\n", - "Processing hyper voxel : 77/180 (60 neurons)\n", - "Processing hyper voxel : 37/180 (59 neurons)\n", - "Processing hyper voxel : 36/180 (56 neurons)\n", - "Processing hyper voxel : 96/180 (53 neurons)\n", - "Processing hyper voxel : 76/180 (50 neurons)\n", - "Processing hyper voxel : 97/180 (43 neurons)\n", - "Processing hyper voxel : 73/180 (36 neurons)\n", - "Processing hyper voxel : 70/180 (32 neurons)\n", - "Processing hyper voxel : 107/180 (28 neurons)\n", - "Processing hyper voxel : 47/180 (26 neurons)\n", - "Processing hyper voxel : 106/180 (25 neurons)\n", - "Processing hyper voxel : 46/180 (24 neurons)\n", - "Processing hyper voxel : 65/180 (23 neurons)\n", - "Processing hyper voxel : 68/180 (21 neurons)\n", - "Processing hyper voxel : 40/180 (17 neurons)\n", - "Processing hyper voxel : 100/180 (16 neurons)\n", - "Processing hyper voxel : 103/180 (15 neurons)\n", - "Processing hyper voxel : 38/180 (12 neurons)\n", - "Processing hyper voxel : 43/180 (12 neurons)\n", - "Processing hyper voxel : 62/180 (11 neurons)\n", - "Processing hyper voxel : 75/180 (11 neurons)\n", - "Processing hyper voxel : 95/180 (9 neurons)\n", - "Processing hyper voxel : 98/180 (9 neurons)\n", - "Processing hyper voxel : 12/180 (8 neurons)\n", - "Processing hyper voxel : 61/180 (7 neurons)\n", - "Processing hyper voxel : 35/180 (7 neurons)\n", - "Processing hyper voxel : 78/180 (7 neurons)\n", - "Processing hyper voxel : 11/180 (6 neurons)\n", - "Processing hyper voxel : 32/180 (6 neurons)\n", - "Processing hyper voxel : 31/180 (5 neurons)\n", - "Processing hyper voxel : 7/180 (5 neurons)\n", - "Processing hyper voxel : 45/180 (5 neurons)\n", - "Processing hyper voxel : 132/180 (4 neurons)\n", - "Processing hyper voxel : 105/180 (3 neurons)\n", - "Processing hyper voxel : 127/180 (3 neurons)\n", - "Processing hyper voxel : 91/180 (3 neurons)\n", - "Processing hyper voxel : 131/180 (3 neurons)\n", - "Processing hyper voxel : 6/180 (3 neurons)\n", - "Processing hyper voxel : 16/180 (3 neurons)\n", - "Processing hyper voxel : 126/180 (2 neurons)\n", - "Processing hyper voxel : 137/180 (2 neurons)\n", - "Processing hyper voxel : 33/180 (2 neurons)\n", - "Processing hyper voxel : 82/180 (1 neurons)\n", - "Processing hyper voxel : 81/180 (1 neurons)\n", - "Processing hyper voxel : 63/180 (1 neurons)\n", - "Processing hyper voxel : 48/180 (1 neurons)\n", - "Processing hyper voxel : 108/180 (1 neurons)\n", - "Processing hyper voxel : 111/180 (1 neurons)\n", - "Processing hyper voxel : 17/180 (1 neurons)\n", - "Processing hyper voxel : 10/180 (1 neurons)\n", - "Processing hyper voxel : 8/180 (1 neurons)\n", - "Processing hyper voxel : 92/180 (1 neurons)\n", - "Processing hyper voxel : 1/180 (1 neurons)\n", - "Read 61886 out of total 61886 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1}\n", - "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Duration: 108.0695486740151 s\n", - "f1 = 0.6584, mu2 = 0.2243, a3 = 1.0000\n", - " fun: 7.191659793305009\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 1984\n", - " nit: 65\n", - " success: True\n", - " x: array([0.65837335, 0.22434094, 0.99999623])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0028465340146794915 seconds\n", - "Created connection matrix 0.031578337016981095 seconds\n", - "Created gap junction connection matrix 0.00010512600420042872 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 40993, at 0\n", - "Created distance histogram (optimised) in 0.04126861901022494 seconds\n", - "Saving cache to networks/FS_to_FS_np3/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to FS (synapses)\n", - "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<0.00025) = 0.5658516020236087\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_FS_np3/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 7570 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_FS_np3/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_FS_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_FS_np4/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 72/180 (139 neurons)\n", - "Processing hyper voxel : 71/180 (131 neurons)\n", - "Processing hyper voxel : 67/180 (105 neurons)\n", - "Processing hyper voxel : 66/180 (100 neurons)\n", - "Processing hyper voxel : 42/180 (81 neurons)\n", - "Processing hyper voxel : 41/180 (74 neurons)\n", - "Processing hyper voxel : 101/180 (73 neurons)\n", - "Processing hyper voxel : 102/180 (71 neurons)\n", - "Processing hyper voxel : 77/180 (60 neurons)\n", - "Processing hyper voxel : 37/180 (59 neurons)\n", - "Processing hyper voxel : 36/180 (56 neurons)\n", - "Processing hyper voxel : 96/180 (53 neurons)\n", - "Processing hyper voxel : 76/180 (50 neurons)\n", - "Processing hyper voxel : 97/180 (43 neurons)\n", - "Processing hyper voxel : 73/180 (36 neurons)\n", - "Processing hyper voxel : 70/180 (32 neurons)\n", - "Processing hyper voxel : 107/180 (28 neurons)\n", - "Processing hyper voxel : 47/180 (26 neurons)\n", - "Processing hyper voxel : 106/180 (25 neurons)\n", - "Processing hyper voxel : 46/180 (24 neurons)\n", - "Processing hyper voxel : 65/180 (23 neurons)\n", - "Processing hyper voxel : 68/180 (21 neurons)\n", - "Processing hyper voxel : 40/180 (17 neurons)\n", - "Processing hyper voxel : 100/180 (16 neurons)\n", - "Processing hyper voxel : 103/180 (15 neurons)\n", - "Processing hyper voxel : 38/180 (12 neurons)\n", - "Processing hyper voxel : 43/180 (12 neurons)\n", - "Processing hyper voxel : 62/180 (11 neurons)\n", - "Processing hyper voxel : 75/180 (11 neurons)\n", - "Processing hyper voxel : 95/180 (9 neurons)\n", - "Processing hyper voxel : 98/180 (9 neurons)\n", - "Processing hyper voxel : 12/180 (8 neurons)\n", - "Processing hyper voxel : 61/180 (7 neurons)\n", - "Processing hyper voxel : 35/180 (7 neurons)\n", - "Processing hyper voxel : 78/180 (7 neurons)\n", - "Processing hyper voxel : 11/180 (6 neurons)\n", - "Processing hyper voxel : 32/180 (6 neurons)\n", - "Processing hyper voxel : 31/180 (5 neurons)\n", - "Processing hyper voxel : 7/180 (5 neurons)\n", - "Processing hyper voxel : 45/180 (5 neurons)\n", - "Processing hyper voxel : 132/180 (4 neurons)\n", - "Processing hyper voxel : 105/180 (3 neurons)\n", - "Processing hyper voxel : 127/180 (3 neurons)\n", - "Processing hyper voxel : 91/180 (3 neurons)\n", - "Processing hyper voxel : 131/180 (3 neurons)\n", - "Processing hyper voxel : 6/180 (3 neurons)\n", - "Processing hyper voxel : 16/180 (3 neurons)\n", - "Processing hyper voxel : 126/180 (2 neurons)\n", - "Processing hyper voxel : 137/180 (2 neurons)\n", - "Processing hyper voxel : 33/180 (2 neurons)\n", - "Processing hyper voxel : 82/180 (1 neurons)\n", - "Processing hyper voxel : 81/180 (1 neurons)\n", - "Processing hyper voxel : 63/180 (1 neurons)\n", - "Processing hyper voxel : 48/180 (1 neurons)\n", - "Processing hyper voxel : 108/180 (1 neurons)\n", - "Processing hyper voxel : 111/180 (1 neurons)\n", - "Processing hyper voxel : 17/180 (1 neurons)\n", - "Processing hyper voxel : 10/180 (1 neurons)\n", - "Processing hyper voxel : 8/180 (1 neurons)\n", - "Processing hyper voxel : 92/180 (1 neurons)\n", - "Processing hyper voxel : 1/180 (1 neurons)\n", - "Read 61886 out of total 61886 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1}\n", - "From hist_file: b'{\"FS$$FS\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 100, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 200, fitness 2.249423651652583\n", - "Worker iter: 300, fitness 2.249423651652583\n", - "Worker iter: 300, fitness 2.249423651652583\n", - "Worker iter: 300, fitness 2.249423651652583\n", - "Worker iter: 300, fitness 2.249423651652583\n", - "Worker iter: 300, fitness 2.249423651652583\n", - "Worker iter: 300, fitness 2.249423651652583\n", - "Worker iter: 300, fitness 2.249423651652583\n", - "Worker iter: 300, fitness 2.249423651652583\n", - "Worker iter: 400, fitness 2.249423651652583\n", - "Worker iter: 400, fitness 2.249423651652583\n", - "Worker iter: 400, fitness 2.249423651652583\n", - "Worker iter: 400, fitness 2.249423651652583\n", - "Worker iter: 400, fitness 2.249423651652583\n", - "Worker iter: 400, fitness 2.249423651652583\n", - "Worker iter: 400, fitness 2.249423651652583\n", - "Worker iter: 400, fitness 2.249423651652583\n", - "Worker iter: 500, fitness 2.249423651652583\n", - "Worker iter: 500, fitness 2.249423651652583\n", - "Worker iter: 500, fitness 2.249423651652583\n", - "Worker iter: 500, fitness 2.249423651652583\n", - "Worker iter: 500, fitness 2.249423651652583\n", - "Worker iter: 500, fitness 2.249423651652583\n", - "Worker iter: 500, fitness 2.249423651652583\n", - "Worker iter: 500, fitness 2.249423651652583\n", - "Worker iter: 600, fitness 2.249423651652583\n", - "Worker iter: 600, fitness 2.249423651652583\n", - "Worker iter: 600, fitness 2.249423651652583\n", - "Worker iter: 600, fitness 2.249423651652583\n", - "Worker iter: 600, fitness 2.249423651652583\n", - "Worker iter: 600, fitness 2.249423651652583\n", - "Worker iter: 600, fitness 2.249423651652583\n", - "Worker iter: 600, fitness 2.249423651652583\n", - "Worker iter: 700, fitness 2.249423651652583\n", - "Worker iter: 700, fitness 2.249423651652583\n", - "Worker iter: 700, fitness 2.249423651652583\n", - "Worker iter: 700, fitness 2.249423651652583\n", - "Worker iter: 700, fitness 2.249423651652583\n", - "Worker iter: 700, fitness 2.249423651652583\n", - "Worker iter: 700, fitness 2.249423651652583\n", - "Worker iter: 700, fitness 2.249423651652583\n", - "Worker iter: 800, fitness 2.249423651652583\n", - "Worker iter: 800, fitness 2.249423651652583\n", - "Worker iter: 800, fitness 2.249423651652583\n", - "Worker iter: 800, fitness 2.249423651652583\n", - "Worker iter: 800, fitness 2.249423651652583\n", - "Worker iter: 800, fitness 2.249423651652583\n", - "Worker iter: 800, fitness 2.249423651652583\n", - "Worker iter: 800, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 900, fitness 2.249423651652583\n", - "Worker iter: 1000, fitness 2.249423651652583\n", - "Worker iter: 1000, fitness 2.2493644948086584\n", - "Worker iter: 1000, fitness 2.249423651652583\n", - "Worker iter: 1000, fitness 2.2493644948086584\n", - "Worker iter: 1000, fitness 2.249423651652583\n", - "Worker iter: 1000, fitness 2.2493644948086584\n", - "Worker iter: 1000, fitness 2.2493644948086584\n", - "Worker iter: 1000, fitness 2.249423651652583\n", - "Worker iter: 1100, fitness 2.2493644948086584\n", - "Worker iter: 1100, fitness 2.2493644948086584\n", - "Worker iter: 1100, fitness 2.2493644948086584\n", - "Duration: 527.5643143600028 s\n", - "f1 = 0.9938, softMax = 3.4953, mu2 = 0.9840, a3 = 0.9999\n", - " fun: 2.2493644948086584\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 8485\n", - " nit: 211\n", - " success: True\n", - " x: array([0.99376367, 3.49526234, 0.98396606, 0.99991663])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.00233447301434353 seconds\n", - "Created connection matrix 0.02644199601490982 seconds\n", - "Created gap junction connection matrix 9.537598816677928e-05 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 30080, at 0\n", - "Created distance histogram (optimised) in 0.030592730006901547 seconds\n", - "Saving cache to networks/FS_to_FS_np4/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to FS (synapses)\n", - "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<0.00025) = 0.5645025295109612\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_FS_np4/figures/Network-distance-dependent-connection-probability-FS-to-FS-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 7520 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_FS_np4/figures/Network-number-of-synapses-from-FS-to-FS-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_dSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np1_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 5.518276032002177 s\n", - "f1 = 0.7373 (exp(-(0.5*d/60e-6)**2))\n", - " fun: 30.949413946853745\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 222\n", - " nit: 21\n", - " success: True\n", - " x: array([0.73731346])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_dSPN_np1_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007006710220593959 seconds\n", - "Created connection matrix 0.004891321004834026 seconds\n", - "Created gap junction connection matrix 0.00034362697624601424 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 5336, at 0\n", - "Created distance histogram (optimised) in 0.004702195001300424 seconds\n", - "Saving cache to networks/FS_to_dSPN_np1_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to dSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.8295687885010267\n", - "P(d<0.00015) = 0.694949494949495\n", - "P(d<0.00025) = 0.3877139979859013\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np1_dd/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 1239 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np1_dd/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_dSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np2_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 13.038232180988416 s\n", - "f1 = 0.7373, mu2 = 0.4178 (exp(-(0.5*d/60e-6)**2))\n", - " fun: 30.949413946853745\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 643\n", - " nit: 31\n", - " success: True\n", - " x: array([0.73731446, 0.41779093])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_dSPN_np2_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.000698587013175711 seconds\n", - "Created connection matrix 0.004823362018214539 seconds\n", - "Created gap junction connection matrix 0.00031566800316795707 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 5336, at 0\n", - "Created distance histogram (optimised) in 0.004777986992849037 seconds\n", - "Saving cache to networks/FS_to_dSPN_np2_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to dSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.8295687885010267\n", - "P(d<0.00015) = 0.694949494949495\n", - "P(d<0.00025) = 0.3877139979859013\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np2_dd/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 1239 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np2_dd/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_dSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np3_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 30.949413946853745\n", - "Worker iter: 100, fitness 30.949413946853745\n", - "Worker iter: 100, fitness 30.949413946853745\n", - "Worker iter: 100, fitness 30.949413946853745Worker iter: 100, fitness 30.949413946853745\n", - "\n", - "Worker iter: 100, fitness 30.949413946853745\n", - "Worker iter: 100, fitness 30.949413946853745Worker iter: 100, fitness 30.949413946853745\n", - "\n", - "Worker iter: 200, fitness 30.949413946853745\n", - "Worker iter: 200, fitness 30.949413946853745\n", - "Worker iter: 200, fitness 30.949413946853745\n", - "Worker iter: 200, fitness 30.949413946853745\n", - "Worker iter: 200, fitness 30.949413946853745\n", - "Worker iter: 200, fitness 30.949413946853745\n", - "Worker iter: 200, fitness 30.949413946853745\n", - "Worker iter: 200, fitness 30.949413946853745\n", - "Duration: 29.768877545022406 s\n", - "f1 = 0.7373, mu2 = 0.1909, a3 = 0.9992 (exp(-(0.5*d/60e-6)**2))\n", - " fun: 30.949413946853745\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 1654\n", - " nit: 54\n", - " success: True\n", - " x: array([0.73730633, 0.19086786, 0.99919359])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_dSPN_np3_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007529620197601616 seconds\n", - "Created connection matrix 0.005232613009866327 seconds\n", - "Created gap junction connection matrix 0.0004626700247172266 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 5336, at 0\n", - "Created distance histogram (optimised) in 0.005419238994363695 seconds\n", - "Saving cache to networks/FS_to_dSPN_np3_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to dSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.8295687885010267\n", - "P(d<0.00015) = 0.694949494949495\n", - "P(d<0.00025) = 0.3877139979859013\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np3_dd/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 1239 connections\n" - ] - }, - { - "data": { - "image/png": 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r9HxlOXr0KHr37g0gc/B+bi5cuID27dvD19cXixcvznXdq/j4eIwYMQKLFi2S99nb22v1SJqC8uGHHyoEfI8fPy7A1hAVPVyQkyifvXnzBgEBAQgICICTkxPq168PX19fuLi4wM7ODsnJybh9+zaCg4NzPErFy8sL8+bNM1hbBgwYgO+//x5A5srpbm5u8PLyUngcSu3atfHXX38p5Fu0aBFCQ0Nx9+5dAJkPMt6/fz969OiBChUqyIuK7tixQyHAGjNmDFq0aGGw9i9cuBD//POPHADOnj0b27dvR/fu3VG6dGnExcXh6NGjOHToEIQQ8PPzQ0ZGBk6ePKlR+eHh4Rg5ciTGjBmDGjVqoH79+vD09ESxYsWQkZEhj/06ePCgwrIKRkZGWLx4MVxcXAz2WfPSzJkzceDAAS6BQKQLQUQqrVq1SgCQX4GBgTqXlZaWJiwsLBTK0+ZVt25dERUVZbgPJ4RISUkRH330kdp6/fz8lOa9e/euqFixosbt/+KLL0RGRoZB2y+EEGfPnhUODg651u/t7S2io6OFn5+fvG/KlClKyxwyZIjO18nBwUFs3LhRbZsN+b3KLjAwUKHc06dPa5y3Z8+eOT6Lubm5QdpF9C7jrT2ifGJsbIynT59i8+bN6Nu3r9oHG2eRJAl+fn5Yu3YtTp8+nWNck77MzMxw+PBhbNiwAR07doSXlxesra3VPkg5i6enJyIiIjB16lS1q27XqlULhw4dwoIFCzQqV1u1atXCxYsX0aFDB6W37SwsLDBo0CD8999/Gt8SXbZsGUJDQ/Hdd9+hTp06MDHJvfPe09MTEyZMwLVr13KsRl8UzJgxQ6PPSUSKJCHYl0tUUB4+fIhr167h9u3biIuLw+vXrxWesVajRg2VD8ctTNLT0xEaGopr167h6dOnMDc3h5ubGxo2bGjw4E+dBw8eICgoCA8ePIClpSU8PDzg5+en9wKgL1++xNWrV3Hz5k08efIESUlJMDExgZ2dHdzd3VG9enV4eXkZ5kMQUZHCQIqIiIhIR7y1R0RERKQjBlJEREREOmIgRURERKQjBlJEREREOmIgRURERKQjBlJEREREOmIgRURERKQjBlJEREREOmIgRURERKQjBlJEREREOmIgRURERKQjBlJEREREOmIgRURERKQjBlJEREREOmIgRURERKQjBlJEREREOmIgRURERKQjBlJEREREOmIgRURERKQjBlJEREREOmIgRURERKQjBlJEREREOmIgRURERKQjBlJEREREOmIg9Q4RQmDo0KFwcnKCJEmIiIgo6CYR0Xuqb9++mDVrVoHU3aRJE2zcuDHXdCtWrECrVq3yoUXaadq0Kb788suCbobODh48iBo1aiAjIyNf6rty5QpKlSqFly9fKuyvX78+tm3bluf1M5B6hxw8eBCrV6/G3r178ejRI3zwwQcIDg7GJ598And3d0iShJ07d+ZLW4KCguDr6wtzc3OUL18eq1evVpt+6tSpkCQpx8va2lpOs337dtSuXRsODg6wtrZGjRo1sG7dOoVylJUhSRLmzp0rp2nfvj08PT1hYWGBEiVKoG/fvnj48KFBP7+ugoKC0KFDB5QoUUL+jBs2bMjzeu/duwd/f39YWVnBxcUF3377LdLS0tTmmTlzJho2bAgrKys4ODgoTXPs2DE0bNgQtra2cHNzw3fffZej3AsXLqBx48awsLCAh4cHfv75Z4Xjb968wfTp01GuXDlYWFigevXqOHjwoF6fV5nr16+jWbNmcHV1hYWFBcqWLYtJkybhzZs3Bq8rO13OfVhYGFq2bAkHBwcUK1YMQ4cORVJSkkIaTc79li1bUKNGDVhZWaF06dIKPydA5s9cy5YtUbx4cdjZ2aFBgwY4dOhQrp/p/Pnz2L9/P0aPHq3hWTCc3bt3IyYmBj179lSb7vXr1/jhhx8wZcoUhf1bt25FpUqVYGFhgapVq2L//v1qywkKClL6O+fx48c50jZt2lTrz5Nds2bN8Ndff8nvV69ejWrVqsHCwgIuLi4YOXKkQvrcfrb0oa7uNm3awNTUVOnvrqioKAwYMEBpmcqOxcbG4osvvoC3tzcsLS3h6emJ0aNHIz4+Xk7j4+OD+vXrY/78+Qp5J02ahPHjx+d9QCfonbFw4ULh6empsG///v1i4sSJYvv27QKA2LFjR5634/bt28LKykp8/fXX4sqVK2LhwoXC2NhYHDx4UGWexMRE8ejRI4WXj4+P6N+/v5wmMDBQbN++XVy5ckVERkaK3377LUe5b5excuVKIUmSuHXrlpxm/vz54vTp0yIqKkqEhISIBg0aiAYNGuTJudDWzJkzxaRJk0RISIj8GY2MjMSePXvyrM60tDTxwQcfiBYtWojw8HCxf/9+4ezsLCZMmKA23+TJk8X8+fPF119/Lezt7XMcj4iIEGZmZmLatGni5s2bIigoSFSqVEmMHTtWThMfHy9cXV1F7969xaVLl0RAQICwtLQUy5Ytk9OMGzdOuLu7i3379olbt26JxYsXCwsLCxEWFmawcyCEELdu3RIrV64UERERIioqSuzatUu4uLjkeh70ocu5f/DggXB0dBTDhw8X165dE//9959o2LCh6NKli5xGk3O/f/9+YWJiIpYsWSJu3bol9u7dK0qUKCEWLlwopxkzZoyYM2eO+O+//8SNGzfEhAkThKmpaa7n/rPPPhPDhg3T48zornnz5mL27Nm5plu3bp3w9vZW2BcSEiKMjY3Fzz//LK5cuSImTZokTE1NxcWLF1WWExgYKACI69evK/zuSU9PF0IIcerUKXHkyBEhhBB+fn5CCCGOHDkiQkJCVJbp5+cnxowZo7Dv+fPnwtTUVDx+/FgIIcS8efOEu7u72LBhg4iMjBTnz58Xu3btktNr8rOlq9zqFkKIRYsWidq1a8vv169fLyIjI8WdO3dE//79RUZGhli0aJGIjY1Ve+zixYuic+fOYvfu3SIyMlIcO3ZMVKhQQeH7LoSQv79v3ryR96WlpQlXV1exd+9evT+zOgyk3hH9+/cXAORX6dKlc6TJr0Bq3LhxokqVKgr7evToIVq3bq1xGREREQKACA4OVpuuZs2aYtKkSSqPd+jQQXz00Udqy9i1a5eQJEmkpqZq3L7+/fuLDh06iJkzZwoXFxdhb28vpk2bJt68eSO++eYb4ejoKEqWLClWrlwp58n6hfvixQt5X3h4uAAg7ty5o7Kutm3bioEDB2rcNm3t379fGBkZyb+ghRBiyZIlws7OTqSkpOSaf9WqVUoDqQkTJij8IhVCiN27dwsLCwuRkJAghBBi8eLFwtHRUaGe7777TuEPXIkSJcSiRYsUyuncubPo3bu3Rp8vy7x588QHH3wgrKysRKlSpcSIESNEYmKi2jxfffWV+PDDD7WqRxu6nPtly5YJFxcX+Q+1EEJcuHBBABA3b94UQmh27j/99FPRtWtXhTQLFiwQpUqVEhkZGSrb7OPjI6ZNm6byeFpamrC3t8/xx+v169di7Nixwt3dXVhZWYm6deuKwMBAIYQQr169Ej4+PmLIkCFy+sjISGFjYyNWrFghhPjf92zHjh2ifPnywtzcXLRq1Urcu3dPzvPkyRMhSZK4dOmSyvZl8ff3F998843Cvu7duwt/f3+FffXq1VMbFCr7uc7u3r17omvXrmLEiBHC19dXjBgxQnTr1k1ud1JSkujbt6+wtrYWbm5u4pdfflEaSK1du1bUq1dPCCFEbGyssLS0FEePHlXZLk1+toQQ4s8//xSVKlUS5ubmwtvbW/zxxx8qy9S0biGEuHv3rgAgIiMjhRCZQWqjRo3Ed999J5o3by5atWolJkyYIF6+fKn2mDJbtmwRZmZmCkFTSkqKMDc3z9GugQMHij59+qhtq754a+8d8fvvv2P69OkoVaoUHj16hDNnzuhc1smTJ2FjY6P2pe520+nTp9GiRQuFfa1bt8bp06c1bsNff/2FihUronHjxkqPCyFw7NgxXL9+HU2aNFGaJiYmBvv27cNnn32msp7Y2Fhs2LABDRs2hKmpqcbtA4Djx4/j4cOHCA4Oxvz58zFlyhS0a9cOjo6O+PfffzF8+HAMGzYM9+/f16rct8XHx8PJyUltmtyu1/Dhw1XmPX36NKpWrQpXV1d5X+vWrZGQkIDLly/r3O6UlBRYWFgo7LO0tMTr169x7tw5ue4mTZrAzMxMoe7r16/jxYsXass5deqUVu0xMjLCggULcPnyZaxZswbHjx/HuHHjVKaPjIzEwYMH4efnp7bc/D73KSkpMDMzg5HR/359W1paAoB8TjQ596rS3L9/H3fv3lVad0ZGBhITE9V+Hy9cuID4+HjUrl1bYf+oUaNw+vRpbNq0CRcuXEC3bt3Qpk0b3Lx5ExYWFtiwYQPWrFmDXbt2IT09HX369EHLli0xaNAguYzk5GTMnDkTa9euRUhICOLi4hRu4Z06dQpWVlaoXLmyyvZlT/t2G/X53VWjRg2UKFECLVu2REhIiLzfw8MDW7duhb29PcLCwuDg4IAtW7bAw8MDAPDtt9/ixIkT2LVrFw4fPoygoCCEhYXlKH/37t3o0KEDAODIkSPIyMjAgwcPULlyZZQqVQrdu3dHdHS0wmfJ7Wdrw4YNmDx5MmbOnImrV69i1qxZ+OGHH7BmzRqVn1OTugHA09MTrq6uOHnyJACgYcOGCAwMxOnTpxEUFIQvv/wSs2bNgpWVldpjysTHx8POzg4mJibyPjMzM9SoUUOuL0vdunVz7DM4faKwBg0aiDVr1ohXr14ZKK4jffz6669Ke6KyQMMeqeTkZHHz5k21r6z/1SpToUIFMWvWLIV9+/btEwBEcnJyrvW/evVKODo6ijlz5uQ4FhcXJ6ytrYWJiYkwNzeX/7eqzJw5c4Sjo6PS7+e4ceOElZWVACDq168vnj17lmu7suvfv78oXbq0Qq+At7e3aNy4sfw+LS1NWFtbi4CAACGEbj1SmzdvFmZmZrn+Dzu36xUTE6My75AhQ0SrVq0U9r18+VIAEPv371dbrxCqe6QOHTokjIyMxMaNG0VaWpq4f/++aNy4sQAgNm7cKIQQomXLlmLo0KEK+S5fviwAiCtXrgghMntOfHx8xI0bN0R6ero4fPiwsLS0FGZmZrm2TZ2tW7eKYsWK5djfoEEDYW5uLgCIoUOHKlxjZfL73F+6dEmYmJiIn3/+WaSkpIjY2FjRpUsXAUD+udPk3C9btkxYWVmJo0ePivT0dHH9+nVRqVIlAUD8888/SuvO+plS95l27NghjI2NFXq17t69K4yNjcWDBw8U0jZv3lzhNubPP/8snJ2dxahRo0SJEiUUfi5XrVolAIjQ0FB539WrVwUA8e+//wohMn8Hli1bVmXbsrx48UJpj7epqal8frL88ccfwsXFRWVZ165dE0uXLhVnz54VISEhYuDAgcLExEScO3dOCCHE/fv3RY8ePcTw4cOFr6+vGD58uOjRo4e4f/++SExMFGZmZmLLli1yec+fPxeWlpYKPVKvX78WNjY28u+B2bNnC1NTU+Ht7S0OHjwoTp8+LZo3by68vb3lHihNfrbKlSuX4/POmDFD7VAHTerOUrNmTTF16lQhhBChoaGicePGCr1OP/zwg3j16pXaY297+vSp8PT0FN9//32OY506dRIDBgxQ2Ldr1y5hZGSU68+xPvTqkQoNDcXAgQPh7u6OL7/8EleuXNGnOCokLC0tUb58ebUvW1vbPKt/x44dSExMRP/+/XMcs7W1RUREBM6cOYOZM2fi66+/RlBQkNJyVq5cid69e+f4XzeQ+b/A8PBwHD58GMbGxujXrx+EEFq1s0qVKgq9Aq6urqhatar83tjYGMWKFcOTJ0+0KjdLYGAgBg4ciD///BNVqlRRmza36+Xi4qJTG/TRqlUrzJ07F8OHD4e5uTkqVqyItm3bAoDCecvN77//jgoVKqBSpUowMzPDqFGjMHDgQK3KAICjR4+iefPmKFmyJGxtbdG3b188f/4cycnJCuk2b96MsLAwbNy4Efv27cMvv/yittz8PvdVqlTBmjVrMG/ePFhZWcHNzQ1lypSBq6urfE40OfdDhgzBqFGj0K5dO5iZmaF+/fpy746yc7tx40ZMmzYNW7ZsUfuZXr16BXNzc0iSJO+7ePEi0tPTUbFiRYXeuhMnTuDWrVtyurFjx6JixYpYtGgRVq5ciWLFiimUbWJigjp16sjvK1WqBAcHB1y9elWu++2f9+HDhyvUmZUOgNLfDdry9vbGsGHDUKtWLTRs2BArV65Ew4YN8euvvwLIHEA9ePBgLFmyBLa2tliyZAkGDx6MqKgo3Lp1C6mpqahXr55cnpOTE7y9vRXqOH78OFxcXOTfAxkZGXjz5g0WLFiA1q1bo379+ggICMDNmzcRGBioUbtfvnyJW7du4bPPPlM4Pz/++KN8TT7++GN5vy51W1payj9fN2/exKpVqzB8+HCUKlUKBw8ehKurK5KTk9Ueyy4hIQH+/v7w8fHB1KlTc3ym7PVl35eRkYGUlBSNzosu9L61J4RAXFwcFi5ciKpVq6Jx48bYsGEDUlNTDdE+KgD63tpzc3NDTEyMwr6YmBjY2dnJtyDU+euvv9CuXTuF2x1ZjIyMUL58edSoUQNjx45F165dMXv2bKWf4fr16xg8eLDSOpydnVGxYkW0bNkSmzZtwv79+xEaGppr27J7+1agJElK92XNGMn645Q9YFM1I+zEiRP45JNP8Ouvv6Jfv365tkWf20uqrlfWMX18/fXXiIuLw7179/Ds2TP51kTZsmU1rrt48eLYuXMnXr58ibt37+LatWuwsbGRy9BEVFQU2rVrh2rVqmHbtm04d+4c/vjjDwDI8bvKw8MDPj4++PTTT/HTTz9h6tSpSE9PV1l2QZz7Xr164fHjx3jw4AGeP3+OqVOn4unTpwrnJLdzL0kS5syZg6SkJNy9exePHz9G3bp1FdJk2bRpEwYPHowtW7bkuPX1NmdnZyQnJyuc16SkJBgbG+PcuXOIiIiQX1evXsXvv/8up3vy5Alu3LgBY2Nj3Lx5U209qurOum2VZfr06Qp1AkCxYsUgSVKOtKquh7Y/B3Xr1kVkZCQAoFGjRjnOWYsWLdCoUSONy9u9ezfat28vvy9RogSAzNlqWYoXLw5nZ2fcu3dP7WfJOpY1y/PPP/9UOD+XLl2Sfxf+9ddf8v6s2Yua1J0lNjYWxYsXBwD06dMH5cqVk49JkoSRI0fCyclJ7bEsiYmJaNOmDWxtbbFjxw6lQzGy15d9n7W1tUZ/e3RlknsS1W7fvo3ly5dj9erV8lTPf/75B//88w/GjBmD/v37Y8iQIahUqZJBGkv5o3bt2rmuQaUsyMnSoEGDHFOGjxw5ggYNGuRa9507dxAYGIjdu3dr1FZV/9NYsWIFatWqherVq2tUBoA8/R8LAPkH/NGjR3B0dAQApec5KCgI7dq1w5w5czB06FCNys7tetnZ2ak81qBBA8ycORNPnjyRexqOHDkCOzs7hV+WupIkCe7u7gCAgIAAeHh4wNfXV6574sSJePPmjfyL8ciRI/D29pbPURYLCwuULFkSb968wbZt29C9e3eN23Du3DlkZGRg3rx5ckC7ZcuWXPNl/e87IyMDxsbGStMU5LnP+jlcuXIlLCws0LJlS4Xj6s59FmNjY5QsWVJO06BBA4U/RgEBARg0aBA2bdoEf3//XNtUo0YNAJlr+2Rt16xZE+np6Xjy5InKcY8AMGjQIFStWhWfffYZhgwZghYtWiiMd0pLS8PZs2flgO/69euIi4uT09SsWROPHz/Gixcv5O+Pi4tLjh40MzMz+Pj44MqVKwrrSDVo0ADHjh1TWMNJ099d2UVERMgBR3Zv956XK1cOpqam+Pfff+Hp6QkAePHiBW7cuCGPzRNCYM+ePVi/fr2cLysIu379OkqVKgUgM2B49uwZSpcuLX+W3H623N3dcfv2bfTu3Vvp58j6XmSnSd1A5vISt27dQs2aNRXye3l5qVwOR9WxhIQEtG7dGubm5ti9e7fKnsRLly6ha9euOfa93QaDM8T9wTdv3oi///5btGrVShgZGQlJkoQkScLIyEgYGRkJPz8/ERAQoNWsKNKesjFSiYmJIjw8XB6LM3/+fBEeHi7u3r2bZ+3IWv7g22+/FVevXhV//PFHjmUKFi5cqHQ23aRJk4S7u7tIS0vLcWzWrFni8OHD4tatW+LKlSvil19+ESYmJuLPP/9USBcfHy+srKzEkiVLcpQRGhoqFi5cKMLDw0VUVJQ4duyYaNiwoShXrpx4/fq1xp8xa9Zedspm2pQuXVr8+uuvQgghUlNThYeHh+jWrZu4ceOG2Lt3r/D29lYYI3X8+HFhZWUlJkyYoDCV+vnz5xq3TVtZU/BbtWolIiIixMGDB0Xx4sUVxq78+++/wtvbW9y/f1/ed/fuXREeHi6mTZsmbGxs5O9Z9plwP//8s7hw4YK4dOmSmD59ujA1NVUYpxcXFydcXV1F3759xaVLl8SmTZuElZWVwhTt0NBQsW3bNnHr1i0RHBwsPvroI1GmTBmVs6SUyZoF+ttvv4lbt26JtWvXipIlSyqMWVu/fr3YvHmzuHLlirh165bYvHmzcHd313p2oDZ0PfcLFy4U586dE9evXxeLFi0SlpaW4vfff1coO7dz//TpU7FkyRJx9epVER4eLkaPHi0sLCzk8UZCCLFhwwZhYmIi/vjjD4XvY1xcnNrP5evrq7CMghBC9O7dW3h5eYlt27aJ27dvi3///VfMmjVLnt23aNEi4eDgIM9m+/TTT0XNmjXlcTerVq0Spqamom7duiI0NFScPXtW1K9fX9SvX1/hfBYvXlyj5UK+/vrrHFPoQ0JChImJifjll1/E1atXxZQpU3IsfzB+/HjRt29f+f2vv/4qdu7cKW7evCkuXrwoxowZI4yMjHKd1ZZl+PDhonTp0uLYsWPi4sWLon379sLGxkb+XXLmzBnh6OioMENNiMwZyVWqVBEhISHi4sWLol27dsLHx0f+O6vJz9aff/4pf3euX78uLly4IFauXCnmzZunts251S1E5phQGxsblTPvNBUfHy/q1asnqlatKiIjIxW+h9n/Tty5c0dIkiSioqIU8vv5+Ynp06fr1YbcGHz5g9u3b4vx48cLNze3HAFV8eLFxbfffitu3Lhh6GpJKA+ksgY4v/3Kvj5TXggMDBQ1atQQZmZmomzZsmLVqlUKx6dMmZKjrenp6aJUqVJKBxEKIcTEiRNF+fLlhYWFhXB0dBQNGjQQmzZtypFu2bJlwtLSUukv+wsXLohmzZoJJycnYW5uLry8vMTw4cMV/kgJkTkw/+02Z6dLICVE5poyVatWFRYWFqJx48Zi69atCoHU28tYZL2y1p/JK1FRUeLjjz8WlpaWwtnZWYwdO1bhF3fW9yj7oHhVbc2a0i6EEM2aNRP29vbCwsJC1KtXT+kA6vPnz4sPP/xQmJubi5IlS4qffvpJ4XhQUJCoXLmyMDc3F8WKFRN9+/bNMWg5ayCyOvPnzxclSpQQlpaWonXr1mLt2rUKgdSmTZuEr6+vsLGxEdbW1sLHx0fMmjUrzyfT6HLu+/btK5ycnISZmZmoVq2aWLt2bY5yczv3T58+FfXr1xfW1tbCyspKNG/eXGEgtxCZ32ldfn8sXrxYIcARIvM/EpMnTxZeXl7C1NRUlChRQnTq1ElcuHBBXL16VVhaWioMfH7x4oXw8PAQ48aNE0L8b1LDtm3bRNmyZYW5ublo0aJFjv8Ujhs3TvTs2VNt+4TIHHit7PfEli1bRMWKFYWZmZmoUqWK2Ldvn8Lx/v37K/w8zpkzR5QrV05YWFgIJycn0bRpU3H8+PFc68+SmJgo+vTpI6ysrISrq6v4+eefFX6XTJo0SWkwHx8fLwYNGiQcHByEk5OT6NSpk8JSEELk/rMlRGawnPW72tHRUTRp0kRs375dbZs1qXvo0KEGWUtM1d+wt38mZs2alWOJnfv37wtTU1MRHR2tdzvUybN1pN68eSO2bt2qspfqo48+Elu2bMkRZRMVtNu3bwsTExMG/EXI5MmT8zzYJM0lJycLDw8PlbP/dKFqdujbHj16JJycnHL0TCjTtWvXHDOMC5uqVauKzZs3F3QztPL06VPh5OQkbt++nS/1paSkCE9PT3Hq1CmF/ePGjVNYmyyv5Nk6UiYmJujatSsOHTqEmzdvYvz48XB1dYXIDN4QFBSEnj17olSpUpg4caLea+0QGcr+/fsxdOhQVKhQoaCbQho6cOCAQR9/QfqxtLTE2rVr8ezZs3yv283NDStWrMgx8FmZuXPnyjP5CqPU1FR06dIFH3/8cUE3RStRUVFYvHgxypQpky/13bt3D99//32OAfwuLi6YMWNGntcvCaHlnG8dBQcH448//sDWrVvlabFZVWfNdho2bBhmzpxZqL/YRESU/1avXo0vv/wScXFxBd0UIgV5Gki9ePECa9aswfLly3H9+nUA/wueypYti+bNm2Pnzp14+vRpZmMkCd7e3ggJCckxY4eIiIiosMmTW3vBwcHo06cPSpYsibFjx+L69esQQkCSJHzyySfYv38/bt68iWXLluH+/fvYsGEDKleuDCEErl+/jlmzZuVFs4iIiIgMymA9UrGxsXLv040bNwD8r/fJ1dUVn332GYYOHSqvlfG21NRUfPTRR/jnn39QoUIFuQeLiIiIqLDSa0FOIHMF5uXLl2PHjh3ygoZZAVSTJk0wYsQIdOnSReHhgsqYmZlh2LBh+Oeff1Q+MPN9IoRAYmIibG1tFR61QERERIWHXoFUpUqV5GX8s4InOzs79O3bFyNGjNB6VeSs1WdVPTbjfZKYmAh7e3v5KddERERU+OgVSGXdwgOA6tWr4/PPP0fv3r1hZWWlU3lOTk5o0qQJe2CIiIioSNBrjJSFhQV69OiBESNGoH79+oZs13svISGBPVJERESFnF49Ug8fPlR4OjMRERHR+0SvQCopKQlJSUlwcXFR+TRmZVJSUhATEwMAKmfxERERERV2eq0j5eXlhbJly+Lw4cNa5QsKCpLzEhERERVVei/Iqc8yVPn0dBoiIiKiPJFnDy0mIiIietcVSCCVmJgIADovk0BERERUGBRIIHX06FEAQIkSJQqieiIiIiKD0HjW3okTJ3DixAmlxzZt2oSIiAi1+YUQePnyJcLCwhAYGAhJktCwYUOtGktERERUmGgcSAUFBWH69Ok59gshsHnzZq0qFULA1NQUo0eP1iofERERUWGi1TpSqmbZaTv7ztfXF7NmzYKvr69W+ahgmHt11zpPStSWPGgJERFR4aJxIDVgwAA0bdpUfi+EwEcffQRJkjBjxgw0atRIbX4jIyPY2NigTJkycHBw0LW9RERERIWGxoFU6dKlUbp0aaXHPvjgA/j5+RmsUURERERFgV6PiAkMDASQGUgRERERvW/0CqQKWy/U7t27sW7dOpw5cwaPHz+GnZ0dypcvj06dOmHYsGGws7MzSD1nzpzBf//9hzNnzuDy5ct4+vQpnj17hjdv3sDBwQGVK1dGs2bNMGDAAJW9eERERFT0SeIdeE5LUlISevfujd27d6tM4+HhgS1btqB+/fp612djY4OXL1/mms7c3BxTpkzBhAkTtK4jISEB9vb2iI+PN1gAqCsONiciIlJOrx6pwiA9PR3dunXDwYMHAQCurq4YMmQIfHx8EBsbi4CAAISEhCA6Ohpt27ZFSEgIKleurHe9Li4uqFu3LqpXr44yZcrA3t4eb968QVRUFPbt24eQkBCkpKTg+++/x5s3bzB58mS96yQiIqLCRaMeKWNj48zEkoS0tLQc+3Wu/K3ydLFs2TIMHz4cAODj44Pjx4/D1dVVIc0333yDefPmAQAaN26M4OBgveq8dOkSqlSpAkmSVKZZu3YtBgwYACEETExMcPfuXbi7u2tcB3ukiIiICj+NHhEjhJBfqvbr+tJHeno6pk2bJr9ft25djiAKAObMmYMaNWoAAE6ePInDhw/rVe8HH3ygNogCgH79+qFdu3YAgLS0NLnHjIiIiN4dGt3aa9KkidLAQdX+/BIcHIxHjx4ByBz4rmqBT2NjY4wePRqDBg0CAAQEBKBVq1Z53r4qVapgz549AIDHjx/neX1ERESUvzQKpIKCgrTan18OHDggb7dt21Zt2o8//lhpvrwUGRkpb7u5ueVLnURERJR/NLq1V1hdvHhR3q5Tp47atG5ubvDw8AAAxMTE4OnTp3natj179mDHjh0AAAsLC/j7++dpfURERJT/ivSsvevXr8vbZcqUyTV9mTJlEB0dLectXry43m0IDg5GbGwsACA1NRXR0dE4fPiwPA7LxMQES5cuVTp2i4iIiIq2Ih1IxcXFydvOzs65pi9WrJjSvPoYN24c/v333xz7JUmCn58fpk2bhiZNmuRaTkpKClJSUuT3CQkJBmkfERER5Z08v7X3+PFjjBkzBr6+vqhWrRr69++vcEtOH0lJSfK2hYVFruktLS3l7cTERIO0QZWSJUuiZcuWqFChgkbpZ8+eDXt7e/mVdRuSiIiICi+9AqmTJ0/Czs4O9vb2OHXqVI7jjx8/Rp06dbBo0SKcP38ely9fxvr161GnTh29lyAoLEJDQ+WlHJKSkhAREYHp06cjMTEREydORNWqVXH06NFcy5kwYQLi4+PlV9YtSCIiIiq89Aqkdu7ciaSkJDg6OuLDDz/Mcfybb77BgwcPcqwdlZqaij59+iA+Pl6f6mFjYyNvv379Otf0r169krdtbW31qlsZa2trVK9eHT/88APCw8Ph7u6O58+fw9/fP9deOHNzc9jZ2Sm8iIiIqHDTK5A6e/YsJElCy5Ytcxx7/vw5tmzZAkmSUK1aNYSHhyMuLg4zZ86Uj69atUqf6uHg4CBvP3v2LNf0z58/V5o3L5QpUwY//fQTgMxB6Fmfm4iIiN4degVSWYthVq9ePcexffv2yY9/+euvv1C9enXY2dlhwoQJaNSoEQBg//79+lQPb29vefvOnTu5ps+eJnvevJJ97aqCXnOLiIiIDE+vQCqrh8fFxSXHsazn2ZUtWxa1a9dWONa+fXsIIXD58mV9qkfVqlXl7TNnzqhNGxMTI487cnFxMcjSB7nJfvvwxYsXeV4fERER5S+9AqmsmW8ZGRk5jv3zzz+QJAnNmjXLcaxkyZIAIK+/pKs2bdrI27mtVp699yu3VdAN5ebNm/J2fgRuRERElL/0CqSyBns/efJEYf+TJ09w7do1AEDDhg1z5DM2NgYAvR9a7OfnJz96JSgoCGFhYUrTpaenY8GCBfL7nj176lWvppYuXSpvZ93OJCIioneHXoFU+fLlAQBHjhxR2L9z5055W1kAkfV4FkdHR32qh7GxMSZPniy/79evX46gDgDGjx+PiIgIuT2tW7dWWt7q1ashSRIkSULTpk2Vplm6dCkCAwPVBoHp6en46aefsHjxYnnf559/rsEnIiIioqJEr5XNmzVrhrNnz+LQoUPYv38/2rZti3v37mH27NkAgHLlyildkPLChQsAMsdP6WvIkCHYsWMHjhw5gsuXL6N69eoYMmQIfHx8EBsbi4CAAHmNKwcHByxbtkyv+kJDQzFixAh4eHigZcuWqFq1KlxcXGBmZoa4uDhcunQJu3btQlRUlJxnwoQJ8PPz06teIiIiKnz0CqSGDRuGBQsWIDU1FZ988gmKFy+O58+fIyMjA5IkYdSoUUrzHTlyBJIkoWbNmvpUDyDzWXbbtm1Dr169sHfvXjx+/BgzZszIka5UqVLYvHkzqlSponedABAdHY2VK1eqTWNvb4/Zs2djxIgRBqmTiIiIChe9AqmyZcvijz/+wLBhw5Cenq5wW61FixYYOXJkjjynT5/G3bt3IUkSGjdurE/1MltbW+zZswe7du3C2rVrcebMGTx58gS2trYoV64cOnfujGHDhsHe3l7vuhYsWIAOHTogODgY4eHhuHXrFp49e4Y3b97AxsYGrq6uqFatGlq3bo1u3boZpE4iIiIqnCSh74hvABEREVixYgUiIyNhbW2NVq1aYdCgQTAxyRmnjR07Ftu3b4ckSQgLC8vzhTGLqoSEBNjb2yM+Pr7AVzk39+qudZ6UqC150BIiIqLCxSCBFBkeAykiIqLCT69Ze0RERETvMwZSRERERDpiIEVERESkI71m7WVJT0/Hnj17cODAAVy6dAkvXrzA69evc80nSRJu3bpliCYQERER5Tu9A6krV66gR48euHLlisJ+TcawS5Kkb/VEREREBUavQOrp06do3rw5njx5IgdOJiYmcHZ2hrm5uUEaSERERFRY6RVIzZ07FzExMZAkCTVq1MDs2bPRrFkzmJmZGap9RERERIWWXoHUvn37AGQ+vPjUqVOwsrIySKOIiIiIigK9Zu1lPepl6NChDKKIiIjovaNXIGVqagoA8PLyMkRbiIiIiIoUvQKpsmXLAgBiY2MN0hgiIiKiokSvQKpLly4QQuDo0aOGag8RERFRkaFXIDVy5Eh4eHhg+/btCAkJMVSbiIiIiIoEvQIpe3t77Ny5E87OzvD398fatWuRkZFhqLYRERERFWqS0GQJchUGDRoEALh37x6OHz8OSZLg7OyMOnXqwNnZGUZG6uM0SZKwYsUKXat/pyUkJMDe3h7x8fGws7Mr0LaYe3XXOk9K1JY8aAkREVHholcgZWRkpPdjXtLT0/XK/65iIEVERFT46f2sPT3iMD5rj4iIiIo0vQKpO3fuGKodREREREWOXoFU6dKlDdUOIiIioiJHr1l7RERERO8zBlJEREREOtJ7sHl2b968wb///osrV64gNjYWqampmDx5siGrICIiIio0DBJIpaam4scff8SiRYsQHx+vcOztQOrbb7/Frl274OHhgWPHjhmieiIiIqICofetvefPn6N+/fqYOXMm4uLiIISQX8p07NgRkZGRCAoKwtmzZ/WtnoiIiKjA6B1IdenSBRERERBCoFGjRli2bJna23mNGjVCqVKlAAAHDhzQt3oiIiKiAqNXILV9+3YEBwdDkiR88803OHnyJIYMGYKaNWuqzdeiRQsIIfDPP//oUz0RERFRgdIrkNq4cSMAoFq1avj55581zletWjUAwPXr1/WpnoiIiKhA6RVI/ffff5AkCZ9++qlW+VxdXQEAT58+1ad6IiIiogKlVyCVFQiVLVtWq3ympqYAMmf7ERERERVVegVSFhYWALQPiLICMEdHR32qJyIiIipQegVSJUqUAABcvXpVq3yhoaEAgDJlyuhTPREREVGB0iuQaty4MYQQ2Lp1q8p1o9727NkzbNu2DZIkwc/PT5/qiYiIiAqUXoFUnz59AAA3b97EzJkzc02fmpqKPn36IDk5GZIkYcCAAfpUT0RERFSg9O6R8vf3hxACU6ZMwbBhwxAZGZkjXXJyMnbs2IF69erhyJEjkCQJffr0QaVKlfSpnoiIiKhASULTe3IqxMfHo2HDhrh69SokSQKQOQj91atXkCQJTk5OiIuLQ0ZGBgBACIEaNWrg1KlTsLKy0v8TvKMSEhJgb2+P+Ph42NnZFWhbzL26a50nJWpLHrSEiIiocNH7ETH29vYIDQ1Fjx495GfsZQVRQOaz+NLT0+Vj3bp1Q3BwMIMoIiIiKvL07pHK7uLFi1izZg2Cg4MRFRWFuLg42NjYoFSpUvDz80O/fv1Qp04dQ1X3TmOPFBERUeFn0ECKDIeBFBERUeGn9609IiIiovcVAykiIiIiHTGQIiIiItKRiSaJBg0alCeVS5KEFStW5EnZRERERHlNo8HmRkZG8nIGhpaenp4n5RZ1HGxORERU+GnUIwVAo2fpSZKkNt3bx/MqOCMiIiLKDxoFUnfu3FF57M2bNxg/fjy2b98OGxsb9OnTB82bN0f58uVhbW2Nly9fIjIyEseOHcOGDRuQmJiIzp0746effoKJicZxHBEREVGho/c6Uj169MDff/+Nxo0bY9OmTXBzc1OZNiYmBj169MDJkyfRvXt3BAQE6FP1O4239oiIiAo/vWbtbd26FVu3bkWpUqWwd+9etUEUALi6umLv3r0oWbIktmzZgr///luf6omIiIgKlF6B1MqVKyFJEgYNGgQbGxuN8tjY2OCzzz6DEAIrV67Up3oiIiKiAqVXIHXx4kUAQOXKlbXKl5X+woUL+lRPREREVKD0CqSeP38OAEhMTNQqX1b6rPxERERERZFegVTx4sUBAAcPHtQq34EDBxTyExERERVFegVSTZo0gRAC27dvx44dOzTKs3PnTmzfvh2SJKFJkyb6VE9ERERUoPQKpEaPHg0jo8wievTogfHjx+Px48dK0z5+/BgTJkxAjx49AGQuxjl69Gh9qs9h9+7d6NatG7y8vGBhYQEXFxc0bNgQc+fORUJCgsHqSUxMxLZt2zBq1Cg0bNgQxYsXh6mpKezs7FCpUiX069cPBw8e1GgRUyIiIiq69F5HaurUqZg+fbq8SrmRkREqVaqE8uXLw8rKCsnJyYiMjMS1a9eQkZEhBxdTpkzBlClT9P8EAJKSktC7d2/s3r1bZRoPDw9s2bIF9evX16uu+fPnY+LEiXj9+nWuaRs3boz169fD09NT63q4jhQREVHhp/fS4lOnToW9vb0cXKSnp+PKlSu4cuWKQrqsAMrCwgKzZs3Cl19+qW/VADKf1detWzd5nJarqyuGDBkCHx8fxMbGIiAgACEhIYiOjkbbtm0REhKi9SzD7G7cuCEHUSVLlkSLFi1Qq1YtuLi44PXr1wgNDcX69euRlJSEkydPomnTpggNDYWLi4tBPi8REREVHnr3SGW5c+cOFi5ciB07duDu3bs5jnt5eaFTp04YNWoUypQpY4gqAQDLli3D8OHDAQA+Pj44fvw4XF1dFdJ88803mDdvHoDMXqLg4GCd6xsxYgRu376Nb775Bs2bN5dvbWZ39+5dtG7dGtevXwcADBw4UOs1s9gjRUREVPgZLJDK7unTp3j48CGSkpJgY2MDd3f3PJmhl56eDg8PDzx69AgAcO7cOfj6+ipNV7t2bURERAAADh06hFatWulUZ2xsLJycnHJNd/78edSoUQMAYGVlhadPn8LKykrjehhIERERFX56DTZXpXjx4qhevToaNWqE6tWr59kyB8HBwXIQ5efnpzSIAgBjY2OFge36PONPkyAKAKpXrw5vb28AkMeJERER0bslTwKp/JK1HhUAtG3bVm3ajz/+WGm+vJS9J+nVq1f5UicRERHlnyIdSGU9ogYA6tSpozatm5sbPDw8AAAxMTF4+vRpnrYtNTUVN27ckN+XLl06T+sjIiKi/FekA6mswdwANBrAnj1N9rx5YePGjYiPjwcA+Pr6ws3NTW36lJQUJCQkKLyIiIiocCvSgVRcXJy87ezsnGv6YsWKKc1raE+fPsV3330nv580aVKueWbPng17e3v5ldV7RkRERIVXkQ6kkpKS5G0LC4tc01taWsrb2j5oWVOpqano0qULnjx5AgDo2LEjOnXqlGu+CRMmID4+Xn5FR0fnSfuIiIjIcPRekJP+JyMjA4MGDcLJkycBAOXKldN4/Shzc3OYm5vnZfOIiIjIwIp0j5SNjY28rckjW7LPnLO1tTVoW4QQGD58ODZs2AAA8PT0xNGjR+Ho6GjQeoiIiKjwKNKBlIODg7z97NmzXNM/f/5caV59CSHw+eef488//wQAlCpVCsePH4eXl5fB6iAiIqLCp0gHUlkLXgKZj6jJTfY02fPqQwiBkSNHYunSpQAyn78XGBiIcuXKGaR8IiIiKryKdCBVtWpVefvMmTNq08bExMgDuF1cXAyy2npWELVkyRIAgLu7OwIDA1G+fHm9yyYiIqLCT69A6vDhw4Zqh07atGkjb+e2Wvn+/fvl7dxWQdfE20FUiRIlEBgYiAoVKuhdNhERERUNegVSbdq0Qfny5TFnzhx5un9+8vPzkxe6DAoKQlhYmNJ06enpWLBggfy+Z8+eetc9atQoOYhyc3NDYGAgKlasqHe5REREVHTofWvvzp07+P777+Hh4YEePXrg2LFjhmiXRoyNjTF58mT5fb9+/ZQGdOPHj0dERAQAoFGjRmjdurXS8lavXg1JkiBJEpo2baqy3i+++AKLFy8GkBlEBQUFGWzMFRERERUdeq0j1b9/f2zZsgWvXr3Cmzdv8Pfff+Pvv/9GuXLlMHToUAwYMECjFcf1MWTIEOzYsQNHjhzB5cuXUb16dQwZMgQ+Pj6IjY1FQEAATp06BSBzpt6yZcv0qm/SpElYtGgRAECSJIwZMwZXr17F1atX1ebz9fWFp6enXnUTERFR4SIJIYQ+BcTHx2Pt2rX4888/cenSpcxCJQkAYGpqis6dO2Po0KFqe3j0lZiYiF69emHv3r0q05QqVQqbN29Gw4YNVaZZvXo1Bg4cCCDztmFQUFCONE2bNsWJEye0buOqVaswYMAAjdMnJCTA3t4e8fHxsLOz07o+QzL36q51npSoLXnQEiIiosJF71t79vb2+OKLL3DhwgWEhISgX79+sLCwgBACqamp2Lx5M5o3b45KlSrh119/RWxsrCHarcDW1hZ79uzBzp070blzZ3h4eMDc3BzOzs6oV68e5syZg0uXLqkNooiIiIi0pXePlDLqeqnMzMzQtWtXDB06FI0bNzZ01e8M9kgREREVfnkSSGV3+vRpLF26FH///bf8iJasoKpSpUoYNmwY+vXrZ9CVxt8FDKSIiIgKvzxfkLNBgwZYs2YNHj58iFGjRsn7hRC4du0avvrqK5QqVQojR47EgwcP8ro5RERERAaT54FUWloaNm/ejM6dO+OPP/6AJEnI6gQTQkAIgeTkZCxduhTe3t7y8+qIiIiICrs8C6QiIyMxbtw4lCxZEr169UJQUJAcONWtWxerVq3CgwcPMH/+fHh7e8sB1fDhw3Ho0KG8ahYRERGRwRh0jNSbN2+wbds2LF++XF4iIKt4KysrfPrpp/j8889Rs2bNHHnXrVuHESNGIDk5GX5+fggMDDRUs4okjpEiIiIq/PRakDPLzZs3sXz5cqxZswbPnz8H8L8AqlKlShgxYgT69esHe3t7lWX07dsXN27cwMyZM3H58mVDNIuIiIgoT+kVSAUEBGD58uUIDg4G8L/gydTUFB07dsSIESO0Woizbt26ACAHY0RERESFmV6BVO/evRUGj5cqVQpDhw7F4MGD5YcJa8PMzEyf5hARERHlK4Pc2mvVqhVGjBiBTz75BEZGuo9fr1u37ns/NoqIiIiKDr0CqW+++QbDhg1DuXLlDNIYR0dH+Pn5GaQsIiIiorymVyD1888/G6odREREREWOXutIDRo0CIMGDUJERIRW+S5duoRBgwbhs88+06d6IiIiogKl1zpSRkZGkCQJO3bsQPv27TXOd+jQIXz88ceQJAnp6em6Vv9OK+rrSGmL604REVFRlOePiCEiIiJ6VxVIIJXVC2ViYpBJg0REREQFokACqTt37gBAgd+yIiIiItKHQbqEJEnSKF1ycjLCwsLw+++/Q5IkVK5c2RDVExERERUIjQOpadOmYfr06Tn2CyHQsWNHnSrv1KmTTvmIiIiICgOteqRUTfDTZeJf06ZNMWrUKK3zERERERUWGgdSXl5eOVYdP3HiBCRJgo+PD5ydndXmNzIygo2NDcqUKYMWLVqgbdu2ej1OhoiIiKigFcg6UpQ7riNFRERU+Ok12LxJkyaQJCnX3igiIiKid5FegVRQUJCBmkFERERU9HCQEhEREZGOGEgRERER6UijW3vZ14+aPHmy0v26yl4eERERUVGi0ay9rNl5wP+ek/f2fl1lL4/+h7P2iIiICj+NB5sLIZQGTXqsnqB3EEZERERUkDQKpAIDA7XaT0RERPQ+0CiQentF89z2ExEREb0POGuPiIiISEcMpIiIiIh0xECKiIiISEcMpIiIiIh0pNFgc2Nj4zypXJIkpKWl5UnZRERERHlNo0BKn7WiiIiIiN5VGgVSTZo04eKZRERERG/RKJAKCgrK42YQERERFT0cbE5ERESkIwZSRERERDpiIEVERESkIwZSRERERDrSaLD59OnT5e3Jkycr3a+r7OURERERFSWS0GCRKCMjI3n5g/T0dKX7dZW9PPqfhIQE2NvbIz4+HnZ2dgXaFnOv7nleR0rUljyvg4iIyNA06pECMhflVBY06bNYJ9emIiIioqJMo0AqMDBQq/1ERERE7wONAik/Pz+t9hMRERG9Dzhrj4iIiEhHDKSIiIiIdKTxYHNtPHnyBA8fPkRiYiJsbW3h7u4OFxeXvKiKiIiIqMAYLJC6e/cuFi5ciL///hvR0dE5jnt6eqJbt24YOXIkSpcubahqiYiIiAqMQW7t/fHHH6hSpQp+/fVXREdHQwiR43Xv3j3MmzcPVapUweLFiw1RLREREVGB0rtHavbs2Zg0aRKAzDWljIyM4OPjgwoVKsDa2hovX75EZGQkrly5goyMDCQnJ+OLL75AQkICxo8fr/cHyG737t1Yt24dzpw5g8ePH8POzg7ly5dHp06dMGzYMIMtbJmeno6rV6/i7NmzOHfuHM6ePYvz58/j1atXAID+/ftj9erVBqmLiIiICi+NVjZXJSwsDPXq1UN6ejqMjY0xevRojB07Fu7u7jnSPnr0CPPnz8dvv/0mp//vv/9Qs2ZNvT4AACQlJaF3797YvXu3yjQeHh7YsmUL6tevr3d9Xbp0wfbt21UeN0Qg9b6tbK4LroZOREQFTa9bewsXLkR6ejokScL69esxb948pUEUAJQoUQJz587Fhg0bAAAZGRlYsGCBPtUDyOwd6tatmxxEubq6YtKkSdi4cSMWLVqERo0aAQCio6PRtm1bXL161SB1Zufk5IQKFSroXS4REREVLXoFUoGBgZAkCe3atUOPHj00ytO9e3e0b98eQgiDrIz+119/4eDBgwAAHx8fnD9/HjNmzMCnn36KkSNH4tSpUxg7diwA4MWLFxg2bJjeddatWxfjx4/H1q1bcfv2bTx//hzff/+93uUSERFR0aLXGKmYmBgAQLt27bTK5+/vj927d8v5dZWeno5p06bJ79etWwdXV9cc6ebMmYNjx44hIiICJ0+exOHDh9GqVSud62XQRERERICePVIODg4K/+Z1vrcFBwfj0aNHADIfV+Pr66s0Xdb4rSwBAQF61UtEREQE6BlI+fj4AABu3rypVb7IyEiF/Lo6cOCAvN22bVu1aT/++GOl+YiIiIh0pVcg1adPHwghsHbtWqSmpmqUJzU1FatXr4YkSejbt68+1ePixYvydp06ddSmdXNzg4eHB4DMW5JPnz7Vq24iIiIivQKpAQMGoGnTprhx4wZ69+4tr6OkyuvXr9GnTx/cvHkTzZo1w4ABA/SpHtevX5e3y5Qpk2v67Gmy5y0MUlJSkJCQoPAiIiKiwk2vQEqSJOzatQudO3fGtm3bULlyZfzyyy8IDw9HUlIShBBISkpCREQE5s6di8qVK2Pbtm3o2rUrdu7cqXfj4+Li5G1nZ+dc0xcrVkxp3sJg9uzZsLe3l19ZvWdERERUeGk0a8/Y2Fijwu7du4fvvvtO5fGstT+3bduGbdu2QZIkpKWlaVS2MklJSfK2hYVFruktLS3l7cTERJ3rzQsTJkzA119/Lb9PSEhgMEVERFTIaRRIabP4uSZp9VhM/Z1lbm4Oc3Pzgm4GERERaUGjQKpJkyaQJCmv26I1GxsbvHjxAkDm+CsbGxu16bOP4bK1tc3TthEREdG7T6NAKigoKI+boRsHBwc5kHr27FmugdTz588V8hIRERHpQ6/B5gXN29tb3r5z506u6bOnyZ6XiIiISBdFOpCqWrWqvH3mzBm1aWNiYhAdHQ0AcHFxQfHixfO0bURERPTu0+tZewWtTZs2mDt3LoDM1crHjRunMu3+/fvl7dxWQaeiwdyru1bpU6K25FFLiIjofVWke6T8/Pzg5uYGIHMcV1hYmNJ06enpWLBggfy+Z8+e+dI+IiIiercZrEcqOTkZu3btQmhoKO7fv4+EhASkp6erzSNJEo4dO6ZzncbGxpg8eTI+//xzAEC/fv1w/PhxuLi4KKQbP348IiIiAACNGjVC69atlZa3evVqDBw4EEBmkFZYB9kTERFR4WCQQGrp0qX4/vvvER8fr3EeIYRBllQYMmQIduzYgSNHjuDy5cuoXr06hgwZAh8fH8TGxiIgIACnTp0CkDlTb9myZXrXeefOHaxYsUJh34ULF+Tt8PBwTJo0SeH4Rx99hI8++kjvuomIiKjw0DuQ+vHHHzFlyhSNFtnMCpwMuSCniYkJtm3bhl69emHv3r14/PgxZsyYkSNdqVKlsHnzZlSpUkXvOu/evYuZM2eqPH7hwgWFwCqrnQykiIiI3i16jZG6du0apkyZAgCoWLEijh07Ji96KUkSdu7ciaSkJFy8eBFz5sxBiRIlAAADBw7E69evc731pylbW1vs2bMHO3fuROfOneHh4QFzc3M4OzujXr16mDNnDi5duoSGDRsapD4iIiIiAJCEHt1DX375JRYsWAArKytcuXIFnp6eAAAjIyNIkoQdO3agffv2cvq4uDh06NABp06dQrdu3bBp0yb9P8E7KiEhAfb29oiPj4ednV2BtkXb2XGFFWftERGRoenVI3XixAlIkoRu3brJQZQ6Dg4O2LlzJ5ycnLB161bs3r1bn+qJiIiICpRegdS9e/cAAPXr11d6PDU1Ncc+R0dH9O/fH0IIrFu3Tp/qiYiIiAqUXoFUYmIiAORYJdzS0lLh+Ntq1qwJADh79qw+1RMREREVKL0CKWtrawA5e57s7e0B/K/H6m1paWkAMh/bQkRERFRU6RVIeXl5AcgZEHl7e0MIgZCQEKX5zp8/DwAwMzPTp3oiIiKiAqVXIFW9enUIIXDx4kWF/U2aNAEABAYG4ty5cwrHbt++jb/++guSJKFy5cr6VE9ERERUoPQKpJo2bQoAOH78uML+fv36wcTEBBkZGfjoo48wbtw4LF++HOPGjUPt2rWRlJQEgM+8IyIioqJNr3Wknj9/Djc3N2RkZODkyZMKC15OnToV06dPV/oYGCEEatWqhZCQEN7eU4HrSBke15EiIiJD0+sRMcWKFcONGzeQmpqa40HBU6dOhbW1NWbMmCH3QAGZK553794dS5cuZRBFRERERZpePVKaSElJwenTp/H48WNYW1ujdu3a8qNiSDX2SBkee6SIiMjQ9H5ocW7Mzc3lsVRERERE7xK9BpsTERERvc/yrEcqLi4OiYmJsLW1hYODQ15VQ0RERFRgDNYjlZSUhEWLFqFp06awtbVFsWLF4OXlhWLFisHW1hbNmjXD4sWLFQaeExERERVlBhlsvmfPHgwdOhRPnjwBkLm8QY6K/n8ZBBcXF/z5559o166dvtW+0zjY3PA42JyIiAxN7x6ptWvXonPnznjy5AmEEBBCwNbWFjVq1ECjRo1Qo0YN2NnZycdiYmLQsWNHrFu3zhDtJyIiIiowegVSkZGRGD58ONLT0yGEQKdOnXD69GnEx8cjLCwMJ0+eRFhYGOLi4hAaGoouXboAADIyMjBs2DDcunXLIB+CiIiIqCDodWtv5MiRWLJkCSRJwpw5c/DNN9/kmmf+/Pn45ptvIEkSRowYgUWLFula/TuNt/YKB94OJCIidfTqkTp8+DAkSUKTJk00CqIA4Ouvv4afnx+EEDh06JA+1RMREREVKL0CqQcPHgAAunbtqlW+rPRZ+YmIiIiKIr0CKRsbGwCAq6urVvmynsuXlZ+IiIioKNIrkCpfvjwA4N69e1rli46OBgBUqFBBn+qJiIiICpRegVSPHj0ghMDGjRuVrh2ljBACGzZsgCRJ6Nmzpz7VExERERUovWbtpaSkoF69erh48SK++OIL/Pbbb7nm+eqrr/D777+jRo0aCA0NhZmZma7Vv9M4a69o4iw/IqL3i149Uubm5ti3bx/q1auHhQsXon79+vj777/x4sULhXRxcXHYunUrGjRogAULFqBBgwbYt28fgygiIiIq0jTqkSpbtqza42/evMGDBw/kx8AAgKOjI6ytrfHy5Us5sBJCQJIkuLu7w9TUFJIkcVFOFdgjVTSxR4qI6P1iokmiqKgoSJKkchyUJElyEJWVJjY2FrGxsTnSAcDDhw/loIqIiIioqNIokPL09GTQQ0RERPQWjXukiIiIiEiRRoEUEWlGl/FkHFdFRFR06TVrj4iIiOh9xkCKiIiISEcGvbX37Nkz7Nu3D6GhoXj06BESExNha2sLd3d31KtXD/7+/nB2djZklUREREQFxiCBVHJyMsaNG4eVK1ciJSVFaZply5bB3NwcgwcPxpw5c2BpaWmIqomIiIgKjN639p49e4Y6depgyZIleP36NYQQKl+vX7/GH3/8gTp16uD58+eGaD8RERFRgdG7R6pLly64evUqAMDS0hKffvopWrdujYoVK8LGxgZJSUm4ceMGDh06hE2bNiE5ORlXrlxBly5dEBQUpG/1RERERAVGr4cW79ixA126dIEkSahRowa2b9+O0qVLq0x/9+5ddO3aFefOnYMkSdi+fTs6dOiga/XvND4i5v3B5Q+IiIouvW7tbdq0CQBQvHhxHDlyRG0QBQClS5fGwYMH4eLiAgDYuHGjPtUTERERFSi9Aql///0XkiRh0KBBcHJy0ihPsWLF8Nlnn0EIgX///Vef6omIiIgKlF6B1JMnTwAA1apV0ypf1apVFfITERERFUV6BVJmZmYAgNTUVK3yZaU3NTXVp3oiIiKiAqXXrD13d3dcv34dJ0+eRL9+/TTOFxwcDAAoWbKkPtUTvZf4PD8iosJDrx6ppk2bQgiBdevW4fz58xrliYiIwPr16yFJEpo2bapP9UREREQFSq/lD8LCwlCnTh0AgJOTE5YtW4bOnTurTL99+3YMGzYMz58/h5GREc6cOYOaNWvqWv07jcsfkCGxR4qIKG/odWvP19cXw4cPx5IlSxAbG4tu3bqhbNmyaNmyJSpWrAhra2u8fPkSN2/exJEjR3Dr1i0IISBJEoYPH84gioiIiIo0vXqkACAjIwP9+/fHhg0bMguUJJVps6rq06cPVq9eDSMjvZ9Q885ijxQZEnukiIjyht6RjJGREdatW4fNmzfD19dX7bP2atWqha1bt2Lt2rUMooiIiKjI07tH6m337t3Dv//+i0ePHiExMRG2trYoUaIE6tWrB09PT0NW9U5jjxQZEnukiIjyhl5jpNauXQsAcHNzQ6tWrQAAnp6eDJiIiIjovaDX/bUBAwZg4MCBOHXqlKHaQ0RERFRk6NUjZWNjg5cvX8LHx8dQ7SGiPFAYb8/ydiMRvQv06pEqUaIEAODNmzcGaQwRERFRUaJXINWsWTMAwJkzZwzSGH3t3r0b3bp1g5eXFywsLODi4oKGDRti7ty5SEhIeGfqJCIiosJBr1l74eHhqFu3LqysrHDlypUCe3ZeUlISevfujd27d6tM4+HhgS1btqB+/fpFok7O2qN3HW/tEdG7QO/lD37++WeMHz8elSpVwqZNm1CtWjVDtU0j6enpaNeuHQ4ePAgAcHV1xZAhQ+Dj44PY2FgEBAQgJCQEAODo6IiQkBBUrly50NfJQIooJwZfRFTY6BVIZS1/sHnzZhw4cABGRkb48MMP0bhxY5QqVQqWlpa5ltGvXz9dqwcALFu2DMOHDwcA+Pj44Pjx43B1dVVI880332DevHkAgMaNGyM4OLjQ18lAikh/DLyIKK/pFUgZGRkpPBIm6zl6GlcuSUhLS9O1eqSnp8PDwwOPHj0CAJw7dw6+vr5K09WuXRsREREAgEOHDsnrXhXWOhlIERUMBl9EpA29lj8A/vf8PFXv81JwcLAc0Pj5+SkNaADA2NgYo0ePxqBBgwAAAQEBOgdSBVEnERVeuvxHQ9tgLT/qICLd6BVIrVq1ylDt0MmBAwfk7bZt26pN+/HHHyvNVxTqJKJ3C3t5id4degVS/fv3N1Q7dHLx4kV5u06dOmrTurm5wcPDA9HR0YiJicHTp09RvHjxIlEnEeUfBjlEpA291pEqaNevX5e3y5Qpk2v67Gmy5y3sdRIREVHhpHOP1IMHD3DhwgXEx8fD3t4eVatWRalSpQzZtlzFxcXJ287OzrmmL1asmNK8haHOlJQUpKSkyO/j4+MBoFAs6ikyuHI9UVFj5tkpz+t4dmmNVumdPyjYuxikSNvrB2h/DQtrHZqytbXNdRKd1oHUf//9h6+++gqhoaE5jtWvXx+//vor6tatq22xOklKSpK3LSwsck2ffTmGxMTEQlXn7NmzMW3atBz7PTw8tGwhEVH+sLe3L+gmkB7y4/oV9To0mTmvVSB1+PBhdOzYESkpKUpn550+fRp+fn7YuXMnWrdurV1r33MTJkzA119/Lb/PyMhAbGwsihUrptWSErpKSEiQx3MV9HILlD94zd8/vObvH15z/dja2uaaRuNAKjExEf3798fr16/lfeXLl4eLiwuePHmCyMhIAJm3qPr3748bN27k+UWzsbHBixcvAACvX7+GjY2N2vSvXr2StzU5OflZp7m5OczNzRX2OTg46NRGfdjZ2fGH7T3Da/7+4TV///Ca5x2NB5uvW7cOMTExkCQJtWvXxuXLl3Hjxg2cOnUKN27cwJUrV+Rbek+fPsW6devyrNFZsgcaz549yzX98+fPleYt7HUSERFR4aRxIJW1DpKzszMOHTqU49lxlSpVwoEDB+Di4qKQPi95e3vL23fu3Mk1ffY02fMW9jqJiIiocNI4kLpw4QIkSUK/fv3g6OioNI2joyP69esHIYTCekt5pWrVqvL2mTNn1KaNiYlBdHQ0AMDFxUXn9ZwKos78YG5ujilTpuS4vUjvLl7z9w+v+fuH1zzvaRxIxcbGAgBq1KihNl316tUBKN7Syitt2rSRt3PrAdu/f7+8nduK5IWtzvxgbm6OqVOn8oftPcJr/v7hNX//8JrnPY0DqZcvXwLIfZB21uDr7IOs84qfnx/c3NwAAEFBQQgLC1OaLj09HQsWLJDf9+zZs0jVSURERIVTkV7Z3NjYGJMnT5bf9+vXD0+ePMmRbvz48YiIiAAANGrUSOXSDKtXr4YkSZAkCU2bNs2XOomIiKjo0utZe4XBkCFDsGPHDhw5cgSXL19G9erVMWTIEPj4+CA2NhYBAQE4deoUgMxZc8uWLSuSdRIREVHho3UglR+LQ2rDxMQE27ZtQ69evbB37148fvwYM2bMyJGuVKlS2Lx5M6pUqVIk6yQiIqLCR+tbex07doSxsbHKV+fOnQEAQgi16YyNjWFiYpgOMVtbW+zZswc7d+5E586d4eHhAXNzczg7O6NevXqYM2cOLl26hIYNGxqkvoKq09B2796Nbt26wcvLCxYWFnBxcUHDhg0xd+7cQvGMP8pdeno6Ll26hNWrV+OLL75AgwYNYGVlJd+iHjBggNZlRkZG4ttvv8UHH3wAe3t72NjYwNvbGyNHjpRvV1PBSUxMxLZt2zBq1Cg0bNgQxYsXh6mpKezs7FCpUiX069cPBw8eVPr0CVV4zQu3M2fO4I8//sCAAQNQp04deHl5wcbGBubm5nB1dUXTpk0xbdo03L17V+MyHz16hKlTp6JWrVooVqwYrKysUK5cOQwYMADBwcF5+GneQUJDkiQJIyMjYWRkJCRJUvnKSpNbuqy0lP8SExNF+/btBQCVLw8PD3H69OmCbirlonPnzmqvY//+/bUqb9myZcLS0lJlecbGxmLatGl582EoV/PmzRMWFhZqr3nWq3HjxuLu3bu5lslrXvhZW1trdM3Nzc3FrFmzci1v586dwtHRUW1Zw4YNE2lpafnw6Yo+rbqEhAb/w9EkDRWc9PR0dOvWDQcPHgQAuLq65hjfFRISgujoaLRt2xYhISE5Fl+lwiM9PV3hvZOTE4oVK4abN29qXdb69esxbNgwAICRkRF69uyJ5s2bw8TEBCEhIVizZg1SUlLkNWm+++47g3wG0tyNGzfkx3SVLFkSLVq0QK1ateDi4oLXr18jNDQU69evR1JSEk6ePImmTZsiNDRUXij5bbzmRYeLiwvq1q2L6tWro0yZMrC3t8ebN28QFRWFffv2ISQkBCkpKfj+++/x5s0bhUlR2QUGBqJ79+5ITU0FAPj7+6N9+/awtrZGWFgYVqxYgfj4eCxbtgySJGHJkiX5+TGLpoKO5Ch/LV26VP4fh4+Pj3j8+HGONGPHjlX4Xy0VXjNnzhTjx48XW7duFbdv3xZCCLFq1Sqte6SePHki7OzsBABhZGQkdu3alSPN6dOnhZWVlQAgTExMxLVr1wz5UUgDw4cPF61atRKHDx8W6enpStNERUUJb29v+TswcOBApel4zYuOixcvioyMDLVp1qxZIyRJkq/VgwcPcqR5/fq18PLykr8bCxcuzJHm+vXrws3NTU5z7Ngxg32OdxUDqfdIWlqaKFGihPwDcu7cOZXpatSoIac7dOhQPreU9KFLIDVu3Dg5zxdffKEy3bx58+R0n376qYFaTJp6/vy5RukiIiLk62RlZSVevnyZIw2v+bvnk08+ka/VihUrchxfvHixfPyTTz5RWc62bdvkdA0aNMjLJr8TivQ6UqSd4OBgPHr0CEDmwqK+vr5K0xkbG2P06NHy+4CAgHxpHxWczZs3y9tfffWVynRDhgyBtbU1gMzJCvmx8C79j5OTk0bpqlevLj/bMzk5GZGRkTnS8Jq/e7LPEH/8+HGO45s2bZK3v/76a5XldOzYEV5eXgCA06dPazWI/X3EQOo9kv2RNrk9subjjz9Wmo/ePVeuXJF/UVauXBllypRRmdbW1haNGzcGkPm0gxMnTuRLG0l7dnZ28vbbwQ+v+bspe8Cc9QSOLImJifL6htmvqTJGRkZaPQ7tfcdA6j2S/UHSderUUZvWzc0NHh4eADIfvvz06dM8bRsVHG2+F2+nyY+Hk5P2UlNTcePGDfl96dKlFY7zmr979uzZgx07dgAALCws4O/vr3D8ypUryMjIAADUrFkTxsbGasvjNddckV/ZnDR3/fp1eVvd/0Czp4mOjpbzFi9ePM/aRgVHl++FsrxUeGzcuBHx8fEAAF9f3xy9E7zmRVdwcDBiY2MBZAbM0dHROHz4MA4fPgwgc8HopUuXwtXVVSEfr3neYSD1HomLi5O3nZ2dc01frFgxpXnp3cLvxbvl6dOnCssUTJo0KUcaXvOia9y4cfj3339z7JckCX5+fpg2bRqaNGmS4zived7hrb33SFJSkrxtYWGRa3pLS0t5OzExMU/aRAWP34t3R2pqKrp06SI/SL1jx47o1KlTjnS85u+ekiVLomXLlqhQoYLS47zmeYeBFBHROyAjIwODBg3CyZMnAQDlypXDypUrC7hVZGihoaEQmUsXISkpCREREZg+fToSExMxceJEVK1aFUePHi3oZr5XGEi9R2xsbOTtrNWR1ck+08fW1jZP2kQFj9+Lok8IgeHDh2PDhg0AAE9PTxw9ehSOjo5K0/Oavxusra1RvXp1/PDDDwgPD4e7uzueP38Of3//HAPEec3zDgOp94iDg4O8/ezZs1zTP3/+XGleerfwe1G0CSHw+eef488//wQAlCpVCsePH5fXAVKG1/zdU6ZMGfz0008AMm/xzpw5U+E4r3neYSD1HslaoA8A7ty5k2v67Gmy56V3C78XRZcQAiNHjsTSpUsBZI6TCQwMRLly5dTm4zV/N2Vf/y8oKEjhGK953mEg9R6pWrWqvH3mzBm1aWNiYuSlD1xcXLj0wTtMm+/F22k++OCDPGkT5S4riMp6qKy7uzsCAwNRvnz5XPPymr+bst+Ce/HihcIxHx8fGBll/skPDw/P8cDzt/Gaa46B1HtEm5Vq9+/fL2/ntgo6FW0+Pj7w9PQEAFy9ehVRUVEq0yYlJcmDma2srODn55cfTaS3vB1ElShRAoGBgSpnbL2N1/zddPPmTXn77f/82traolGjRgAUVzlXJiMjA4cOHZLfZ+/popwYSL1H/Pz85IX5goKCEBYWpjRdeno6FixYIL/v2bNnvrSPCk6PHj3k7fnz56tMt3z5crx8+RIA0L59e1hZWeV52yinUaNGyUGUm5sbAgMDUbFiRa3K4DV/92Td4gUgB03ZZf9dPm/ePJXl7Ny5U761V79+fbXj7QhAAT4wmQpA9qd/V6lSRcTExORI880338hpGjVqVACtJH2sWrVKvn79+/fXKE9MTIywtbUVAISRkZHYtWtXjjShoaHCyspKABAmJibi6tWrBm45aWLUqFHy9XVzcxPXrl3TqRxe86JhyZIl4vjx4yIjI0NlmrS0NDF79mwhSZL83QgKCsqR7tWrV8LT01NOs2jRohxpbty4Idzc3OQ0R44cMejneRdJQgiR38EbFZy0tDS0bdsWR44cAZD5v9khQ4bAx8cHsbGxCAgIkLt8HRwccOrUKYUnilPhcufOHaxYsUJh34ULF7Bnzx4AQLVq1fDJJ58oHP/oo4/w0Ucf5ShrzZo1GDBgAIDMh5b27NkTLVu2hLGxMUJCQrBmzRp52vTMmTPx/fff58EnInUmTZokz8aSJAmzZs1CpUqVcs3n6+sr38rLjte88BswYADWrFkDDw8PtGzZElWrVoWLiwvMzMwQFxeHS5cuYdeuXQq3ZydMmIBZs2YpLe/o0aNo27Yt3rx5AwBo164d2rdvD2tra4SFheGvv/6SHy80ZMgQLF++PM8/Y5FX0JEc5b+EhATRrl07+X8cyl6lSpUSISEhBd1UykVgYKDa66jsNWXKFJXlLV68WFhYWKjMa2xsLCZPnpx/H5AU+Pn5aX29AYhVq1apLJPXvHDr37+/xtfZ3t5eLF68ONcyt2/fLhwcHNSWNWTIEJGWlpYPn7Do47P23kO2trbYs2cPdu3ahbVr1+LMmTN48uQJbG1tUa5cOXTu3BnDhg2Dvb19QTeV8tmIESPQokULLF26FAcPHkR0dDQyMjLg7u6O5s2bY+jQoahZs2ZBN5MMiNe8cFuwYAE6dOiA4OBghIeH49atW3j27BnevHkDGxsbuLq6olq1amjdujW6deum0e/tTp06oX79+liyZAn27NmDqKgovH79GiVKlMCHH36Izz77jJMKtMBbe0REREQ64qw9IiIiIh0xkCIiIiLSEQMpIiIiIh0xkCIiIiLSEQMpIiIiIh0xkCIiIiLSEQMpIiIiIh0xkCIiIiLSEQMpIiIiIh0xkCIiIiLSEQMpIiIiIh0xkCIiBVOnToUkSZAkCUFBQQXdnCLp9evX+Pnnn9GgQQM4OjrC2NhYPqdRUVEF3TwiMiAGUvReyvqjlvU6ePBgrnmioqLk9B9++GE+tJKKolevXqFJkyb47rvvEBoairi4OGRkZBR0s4goj5gUdAOICoMJEyagdevWkCSpoJtCRdzSpUtx5swZAICPjw+GDRuGkiVLwtjYGADg4uJSkM0jIgNjIEUEICIiAgEBAejVq1dBN4WKuH379gHI7PU8dOgQSpUqVcAtIqK8xFt79F6zsLCAkVHmj8EPP/yAN2/eFHCLqKiLjo4GkNnzxCCK6N3HQIrea8WKFUPfvn0BALdv38ayZcsKuEVU1KWkpADIDNKJ6N3HQIree9OnT4e5uTkAYMaMGUhKStK5rAEDBmg8O2v16tVy2tWrV+c4nn1w+4ABAwAAjx8/xsSJE/HBBx/Azs4Ozs7OaNy4MbZs2QIhhEL+S5cuYciQIfD29oaVlRWKFSsGf39/nWbiHT9+HN27d0fp0qVhYWEBV1dX+Pv7Y9u2bRqXkZ6ejg0bNqBbt27w8vKCtbU1bGxs4O3tjSFDhuDs2bNq8ys7X2FhYRg+fDgqVqwIW1tbledSU3Fxcfjpp5/QuHFjuLq6wszMDC4uLvjwww8xe/ZsxMXFKc2Xfabj3bt3AQB3797NMalB17adPHkSgwYNQuXKlWFrawtTU1O4uLjAx8cHbdq0wYwZM3Djxg2FPHXq1IEkSTA2NpZ7ydQRQqBcuXKQJAmWlpZ48eKFfEzZdzEuLg6zZs2Cr68vHBwcYG1tDR8fH3z77bd48uRJrvXduHED8+fPR6dOnVChQgXY2NjI57tJkyb48ccf8ezZs1zLyWpX06ZNAQAvXrzAzJkz4evrCycnJ4V2PX78ONfyHj9+jGnTpqFRo0ZwdnaGqakp7O3tUa5cOTRo0ACff/459u/fn+sEgoiICIwZMwbVq1eHk5MTzM3N4e7uDn9/f6xcuRJpaWm5tkWX604FQBC9hwAIAKJkyZJCCCG++uored+0adOU5rlz546cplGjRkrT9O/fX05z584dtW1YtWqVnHbVqlVq6+vfv784deqUcHFxkfe9/Ro6dKjIyMgQQgixbNkyYWJiojLtkiVLVLZrypQpcrrAwEDx9ddfqywHgOjYsaN4/fq12s968eJFUalSJbXlABCjRo0SaWlpGp2vOXPmCGNj4xxlKDuXmti3b59wcnJS2z4nJyexb98+tedM3UvbtqWnp4thw4ZpVLa/v79C3hUrVsjHJk+enGtdhw4dktP369dP4djb38Vz584JT09PlW1xdXUVFy9eVFnXmjVrNPpMdnZ2Yu/evWrbnZXWz89PXLx4UZQuXVpleQ4ODuLgwYMqy9q/f7+wtbXVqG1Pnz5VWsbr16/FoEGDhCRJavNXqVJF3Lp1S2kZ+lx3yn8cbE4EYOLEiVixYgUSEhLwyy+/YMSIEShevHhBN0t27949dOzYEfHx8RgwYAD8/PxgYWGBM2fOYMmSJXj16hWWL1+OBg0awM7ODsOGDYOzszMGDRqE6tWrIy0tDfv27cOWLVsAAKNHj0bTpk1RqVIltfUuXLgQ27dvh729PQYNGoRatWohPT0dISEhWLNmDVJSUrBz50706tVLZe9UeHg4/Pz8kJiYCABo3Lgx/P39Ubp0aWRkZODChQtYvXo1YmJisGjRIqSmpuZ6i3XLli04cOAAbGxs0K9fP9StWxempqa4cuUK3NzctD6/hw4dQocOHeRegnr16qFnz55wd3fHo0ePsGnTJoSGhiI2NhYdOnTA3r170bp1azl/z549UaNGDQDA0KFD8fTpUxQvXhzLly9XqMfX11erdi1atEg+F7a2tujatStq1aqF4sWLIzU1Fffv38fZs2dx9OjRHHl79uyJsWPHIi4uDitXrsTkyZPlmYPKZD/nw4YNU5kuOjoabdu2xdOnT9GlSxe0bNkSTk5OiIqKwvLlyxEZGYmYmBj06NEDERERMDU1zVFGcnIyJElC9erV0aRJE1SqVAlOTk4AgPv37+Po0aM4ePAgEhIS0KVLF/zzzz+5nrv4+Hh06NABd+/eRZMmTdC1a1e4urri3r172LBhAyIiIhAXF4eOHTsiODgYderUUcj/8OFDdO/eXe6R9vPzg7+/P9zc3GBubo5nz57h0qVLOHbsmMpeoLS0NLRp00bu9XV3d0fPnj1RrVo1WFlZ4f79+9i+fTtOnTqFy5cvo0mTJggPD8/xu0af604FoKAjOaKCgLd6pIQQ4scff5T3jx49OkeeguyRwv/3hpw9ezZHusDAQPl/v15eXqJYsWKiTp064vnz5znSTp48WS7v888/V9qut3tXKlSoIKKjo3Oku3jxoihevLicLiAgIEealy9firJlywoAwsrKSuzevVtpnXFxcaJZs2ZyWUeOHMmRJvv5AiAqVqwo7t69q7Q8bSQmJgpXV1e53KlTp8o9e1kyMjIUzp2rq6tISEhQWl5Wj0jp0qX1bluVKlUEAOHo6CiioqJUpnv16pUIDQ3NsX/MmDFym1WdeyGEePTokdyD+cEHH+Q4/vZ30dbWVpw4cSJHusTERFGjRg053bZt25TWd+nSJXHz5k2V7RFCiCNHjggrKysBQDRv3lxluuztAiDmzJmTI01aWpoYNWqUnMbHx0ekp6crpJk7d658fMGCBWrbFhoaKl69epVj//jx4+UyhgwZojSNEEL8/vvvcrrevXvnOK7vdaf8xUCK3kvKAqmkpCTh5uYmAAgzM7McgVBBB1IbNmxQWVaLFi3kdObm5ip/+SYnJwsbGxsBQJQtW1ZpmuyBlJGRkQgPD1dZ765du+S0NWvWzHE8+x+MdevWqSxHCCGePXsm7OzsBADRpk2bHMezny9JkkRYWJja8jS1YMECudy2bduqTdumTRs57W+//aY0jSEDKXNzcwFAdOvWTaf8165dk9vbrl07lelmzpwpp1u4cGGO429/F1euXKmyrAMHDsjpBg8erFO7s0yaNEku6/79+0rTZG9X586dVZaVnp4uateuLafdtWuXwvHst9JevnypdVtjYmKEhYWFACBatGiRa/pevXoJAMLY2DjHZ9P3ulP+4mBzov9nbW2NyZMnAwBSU1Pxww8/FHCL/sfFxQU9evRQeTz7SuuffPIJSpcurTSdpaUlateuDQC4c+cOXr9+rbbeVq1aybeslGnfvj28vb0BZN7Cu337tsLxNWvWAABKliyZ6xpdWYPhASAoKEie/abMhx9+iJo1a6otT1Pbt2+Xt7/77ju1ab///nul+fKKtbU1AODixYtITU3VOr+3tzc++ugjAMCBAweUDjoXQuCvv/4CAFhZWcmzWFVxdnZWm6ZZs2YwMckcNXLp0iWt25xd9u91aGhorunHjRun8piRkRHGjh0rv//7778VjmedawA4d+6cNs0EAGzevFn+efr2229zTd+/f38AmZMwjh07prQtul53yl8cI0WUzeDBgzF//nxERkZi48aN+Pbbb1GtWrWCbhZq166tdnxL9nFBdevWVVtWVlohBOLi4tSOKWrRokWubWvRogWuX78OAPjvv/9QtmxZAEBCQgIiIiIAACVKlMDu3btzLSsreHr9+jXu3LmjcgxX48aNcy1LE0II/PfffwAyg4jcHv3TqFEjWFtb4+XLlzhz5gwyMjLkdcjyQqtWrbBp0yZcu3YNzZs3x9dff43WrVvDyspK4zJGjBiB48ePIz09HStWrMDUqVMVjh8+fBh37twBAPTo0QP29vZqy6tTp44cKCljbm4OZ2dnPH78WGHmnzKnTp1CQEAA/vvvP9y+fRuJiYkq13K7f/++2rLs7Oxy/e5n/z5nXfcsrVq1wvz58wEAnTt3xnfffYdu3bqp/E/J24KDg+XtmJgY7Ny5U236Bw8eyNtXrlzJ0RZ9rzvlHwZSRNmYmprixx9/RM+ePZGRkYEJEybIK1UXpGLFiqk9nrV8g7Zpc+uRqlChQq5ty57m4cOH8nZ0dLQ8Rfzs2bPo1KlTrmVlFxsbq/KYoRa6TEhIQHJyMgCgXLlyuQZFRkZGKF++PM6fP49Xr14hLi5OHiSdF+bMmYNTp07h/v37OHXqFE6dOgVTU1P4+vqiYcOGaNq0KVq1aqV2zaqOHTvC3d0dDx8+xMqVK/HDDz8oBOXZB8SrG2SexdnZOdc0Wd8xVd+vpKQk9OnTB7t27cq1rCwJCQlqj2ct3aCOs7MzHBwcEBcXp/BdBYDWrVujX79+WLt2LZ49e4Zvv/0W3377LcqUKYMGDRqgSZMmaNu2LTw8PJSWnX25k379+mn2of7f2991Q1x3yj+8tUf0lu7du8szhPbv36/wP82Cok2vhyF7SLLf7tAkTdbMPAAq11zSlLpbGpaWlnqVnSV7ezX5rABgY2OjNH9e8PT0RHh4OL788ks5YHvz5g3+/fdf/Prrr+jQoQNcXV0xefJklbdCTUxMMHjwYACZwe2BAwfkY48fP5Z7CqtXr4569erl2iZDfL969OghB1HW1tbo3r07Zs+ejTVr1mDr1q3YsWMHduzYgRkzZsh50tPT1Zap6fXLSqdsvbjVq1dj9erVCr3Qd+7cwcaNGzF8+HCULl0a/v7+cg9sdvp839/+rhviulP+YSBF9BZJkvDTTz/J78ePH58n9eT2h6EwePnypVZpbG1t5e3sAUfnzp0hMie3aPzKWmAxL2VvryafFVD8A5w9f15xdnbGr7/+ipiYGPkPabdu3eQ/sAkJCZgxYwbatm2rcpHIoUOHyr1Q2Xugsi8MqUlvlCGEhIRg//79AICqVasiMjISmzdvxvjx49GvXz907doVHTt2RMeOHbUaB6fp9ctKl/37mUWSJPTv3x/nz59HVFQU1q9fj5EjR6JKlSoAMm8F79+/H3Xq1MHFixcV8mYvLyEhQavvurKFWg1x3Sl/MJAiUqJly5byeIrTp09jx44dGuXLftsst0GimqzaXNAiIyO1SuPu7i5vlyxZUt7WZGXtgmBnZyf3UNy+fTvXP0gZGRm4desWgMxeMQcHh7xuoszExAR169bFl19+iS1btuDJkyfYunWrPKbp+PHjKr+nJUuWRPv27QFk9rLev38fQgj8+eefADJ7aXr37p0vn+Pw4cPy9qxZs9SO0csau6WJW7du5Vjd/23Pnz+Xe46yf1eVKV26NHr37o1Fixbh0qVLuHLlCvz8/ABk9kRmn3gAKN5uNuT3XZ/rTvmDgRSRCj/99JM85mLixIka9SA5OjrK29kHkyrzzz//6NfAfHDkyJFc02RfFDD7rSFnZ2f5f/JhYWGIiYkxfAP1JEmSvDDjy5cvERISojZ9SEiI3CNVp06dPB1onhtjY2N07dpVYfD4yZMnVaYfMWIEAMiDzg8fPiyP6/n0009hZ2eXl82VZX9MS/ny5dWmzX4bMjcJCQk5BpC/TdV3VROVK1fGtm3b5Gv+9rnOCrIA7dqtLW2vO+U9BlJEKtSqVQvdunUDAFy9elWj56RlBQ4A1K46fP36dfn2RmF25MgRXLhwQeXxffv24dq1awAyV+0uU6aMwvHsU7yzlpYobLp06SJvz5kzR23a7Ld8s+crSNnPubrnt7Vo0UKeGLBixQosWbJEPpZft/UAxbFM6no8T58+rXVA8ssvv6g8lpGRIc/KA4CuXbtqVTaQOZEjK+B8+1z37NlT7pGeP39+nvc4a3rdKe8xkCJS48cff5Snev/666+5pm/ZsqWc/o8//lD6h+LBgwfo0qVLkfjll56eju7du+eY4QRkTtn+7LPP5PfK1vAZOXIkvLy8AGSOzfnuu+9UTm8HMm+HbtmyBX/88Yf+jdfQgAED4OrqCiAzMMw+wDm7GTNmyMGvq6srBg4cmKftevToEcaOHSvfSlQmLS1Nvj0HQO2aX5IkYfjw4QAybz1lDfb29fWV1xbLD9kfzTJt2jSlM/suXLiArl275nqr7m1///23QrCUJSMjA19//bXcY1WlShV5zbLsbTl06JDa27sBAQHyrcG3z3WpUqUwevRoAJmzV1u3bp1jXbW3nT9/PkcQa+jrTnmPyx8QqVGhQgUMHjwYS5cu1Wgwq5ubG/r164eVK1ciPj4edevWxYgRI1CtWjWkpKTgzJkzWLNmDZKTk9GjRw9s3rw5Hz6F7rp06YJt27ahSpUq+Oyzz+Dr64v09HT8888/WL16tfxHsHPnzkoXDLWyssLu3bvRpEkTxMXF4eeff8b69evRtWtXVK9eHXZ2dkhOTkZ0dDTCwsJw9OhRJCQkKARoec3GxgZr1qyBv7+/3HN24MAB9OjRAyVKlMDjx4+xadMmnD59GkDmmJU1a9bk+UDzlJQUzJ8/H/Pnz0etWrXQuHFjVK5cGY6OjkhKSsLt27cREBAg/8EtW7YsevbsqbbMAQMGYOLEiQrBS372RgGZ3xVPT0/cu3cPZ8+ehbe3NwYPHozy5csjOTkZJ06cwKZNm/DmzRv0799fXtQ1NzVq1EBCQgLGjh2L3bt3o2vXrnBxcUF0dDQ2bNiA8PBwAJnjGFetWpXjtmxgYCCmTp0KFxcXtG7dGjVq1ICbmxuMjIzw6NEjHDp0SOFW99tjpIDMMV/nz5/H4cOHERYWhkqVKqF9+/Zo3LgxSpQogYyMDPmZfYGBgbhx4waMjY0VnnOYF9ed8lh+LJ9OVNhAySNiVHn48KH8zK+sl6pHxAiR+dy4evXq5XgGWNbL0tJSrF27VqtHxPTv319tG3MrK7vcHmOT/RExgYGBYuzYsSo/CwDRoUMHlc8UyxIZGan2nGR/SZIkJk+erNdn1MXevXuFo6Oj2rY5OjqKvXv3qi3HUI+IiYqK0uh8AZnPx4uMjNSo3OzX39bWViQmJuaaR5vvohC5n4OzZ88KZ2dnlZ/H2NhY/PTTTyIwMFDeN2XKFKVlZR338/MTFy9eFF5eXirLtbe3FwcPHlRaTtOmTTU619bW1mofkZOamirGjh0rP7swt9fb5yivrjvlHfZIEeWiRIkS+PLLLzFr1iyN0tvb2+PEiRNYunQpAgICcPXqVaSmpqJkyZJo3bo1Ro8eDW9vb43GXBUGv/zyCz7++GMsW7YMoaGhiImJgb29PWrVqoXPPvtMo7Em5cqVQ2hoKA4fPoytW7fin3/+wcOHD5GYmAgrKyuULFkSPj4+8PPzwyeffJJjrFV+8Pf3x+3bt7FkyRLs27cP169fR1xcHBwcHFCxYkX4+/vj888/z7eZeqVLl8atW7dw6NAh/PPPP7hw4QLu3buHxMREmJmZwc3NDTVr1kSXLl3QvXt3tauNZ9eqVSu5l6dXr15KlwHIa7Vq1cKFCxcwb9487N27F3fv3oWJiQnc3d3RrFkzDB06FL6+vggKCtKq3A8++ADh4eFYtGgRtm/fjjt37iAlJQWenp5o164dxo4dixIlSijNu2fPHhw9ehQnTpxAWFgYIiMj8ezZMwgh4ODggEqVKqFFixYYPHiw2hl/pqam+OWXX/DFF19g5cqVCAwMxM2bNxEbGwsjIyMUK1YMFStWRL169dC6dWs0adJEIX9eXXfKO5IQWt6EJiKiIqtjx47y+KiwsDCDPbOwoGTNrPXz89M68CIyBA42JyJ6T0RHR2Pv3r0AMqf/F/UgiqgwYCBFRPSemDp1qrwe2pdfflmwjSF6R/DmKhHROyoyMhKRkZFITEzE3r17sXbtWgCZj2bp3r17AbeO6N3AQIqI6B21fv16TJs2TWGflZWV0un/RKQb/iQREb3jJElCyZIl0bVrV5w5cwa1atUq6CYRvTM4a4+IiIhIR+yRIiIiItIRAykiIiIiHTGQIiIiItIRAykiIiIiHTGQIiIiItIRAykiIiIiHTGQIiIiItIRAykiIiIiHf0fGpS2OEyO7wUAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np3_dd/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_dSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np4_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - 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hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 29.450084830450095\n", - "Worker iter: 100, fitness 29.102173250609646\n", - "Worker iter: 100, fitness 28.729280156147333\n", - "Worker iter: 100, fitness 28.733695974260975\n", - "Worker iter: 100, fitness 28.484968538098745\n", - "Worker iter: 100, fitness 28.596155459508825\n", - "Worker iter: 100, fitness 28.542752139104724\n", - "Worker iter: 100, fitness 28.54591479545453\n", - "Worker iter: 200, fitness 28.21667925989826\n", - "Worker iter: 200, fitness 28.20389952841043\n", - "Worker iter: 200, fitness 28.209784500535665\n", - "Worker iter: 200, fitness 28.17325206319508\n", - "Worker iter: 200, fitness 28.201396432238674\n", - "Worker iter: 200, fitness 28.205855319008705\n", - "Worker iter: 200, fitness 28.17138735814154\n", - "Worker iter: 200, fitness 28.169358346900182\n", - "Worker iter: 300, fitness 28.16247872448806\n", - "Worker iter: 300, fitness 28.16312127457049\n", - "Worker iter: 300, fitness 28.162782540958688\n", - "Worker iter: 300, fitness 28.163413985673266\n", - "Worker iter: 300, fitness 28.162690123611213\n", - "Worker iter: 300, fitness 28.16247872448806\n", - "Worker iter: 300, fitness 28.16258740548811\n", - "Worker iter: 300, fitness 28.16247872448806\n", - "Duration: 52.145247440988896 s\n", - "f1 = 0.9705, softMax = 3.0160, mu2 = 0.3286, a3 = 0.9788 (exp(-(0.5*d/60e-6)**2))\n", - " fun: 28.16247872448806\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 2725\n", - " nit: 67\n", - " success: True\n", - " x: array([0.97051666, 3.01601668, 0.32861677, 0.97878881])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_dSPN_np4_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007475870079360902 seconds\n", - "Created connection matrix 0.004385856998851523 seconds\n", - "Created gap junction connection matrix 0.0002686270163394511 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 3830, at 0\n", - "Created distance histogram (optimised) in 0.003546977008227259 seconds\n", - "Saving cache to networks/FS_to_dSPN_np4_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to dSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.837782340862423\n", - "P(d<0.00015) = 0.7141414141414142\n", - "P(d<0.00025) = 0.40852635112453844\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np4_dd/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 1312 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np4_dd/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_dSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np1/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 3.2170447619864717 s\n", - "f1 = 0.2984\n", - " fun: 27.631000786746508\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 152\n", - " nit: 14\n", - " success: True\n", - " x: array([0.29842177])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_dSPN_np1/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007218380051199347 seconds\n", - "Created connection matrix 0.004902777000097558 seconds\n", - "Created gap junction connection matrix 0.0003174599842168391 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 4648, at 0\n", - "Created distance histogram (optimised) in 0.004276897991076112 seconds\n", - "Saving cache to networks/FS_to_dSPN_np1/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to dSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.8624229979466119\n", - "P(d<0.00015) = 0.7424242424242424\n", - "P(d<0.00025) = 0.4464585431352803\n" - ] - }, - { - "data": { - "image/png": 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/3qXjLl26hKefftph28iRIx1GdNxVsd5RamoqUlNTnT722WefdXg+d+7cWi9lLVmyBNu2beOey2SySrfTu2PChAkOAXD16tX4+eefazxm/fr1WLdundPn2LdvHyIjI7Fw4UKXQ9OiRYvw22+/OWx75JFHXGqjsclkMrz22mvc87KyMuzevbsRe0RII2vcAuKENKzblzsJDw/3SLsV2+zTpw+7ZMmSGtcsy8nJYRcsWMAqFAqHY2UyGXvjxg2P9Mlu+fLlDufo3r07u27dOvbcuXOVlnMxm82Vjp84caLD8SqVil2xYkWlfYuLi9mXX3650rp433zzjUffD8uy7JIlSxzOIRQK2ffff58tLS112M9gMLDvvvsuKxQKWQCVliqpbrmTH374gdtHIpGwEyZMYH///Xe2qKio2j6dOHGCHTVqVKXlSEaMGFHje3F1IV1XObPcSVWMRmONC0PTciekNWFYlmXrK4gR0tSkpqY6VFkODw93aaSlOtVNog4ICEB0dDR8fX0hlUqh0+lw5coVJCcnw2q1OuwrEomwadMmPPDAA273pyK9Xo927do5VUH7+vXriIiIcNim0+lwxx134OzZsw7bNRoNevXqBW9vb2RnZ+PIkSOVlsgYN24cfvzxR7ffw+1YlsXDDz/sMIIFAAqFAn379oVGo0FeXh6OHDnCFVYMCgrCCy+84DAfZ+/evVVeIlu5ciWmTp1aaTuPx0PHjh3Rpk0b+Pr6wmq1Ij8/H+fPn69UXRwAunfvjr/++gsajaba9xIREYG0tDTueVXfA3dUbN/+/8VZy5Ytw6xZs6p87dy5c+jatatH+khIk9fIYY2QBlVfI0uuLJhb1aN9+/ZOL+paF3v37mXVanWt/ahuVKOwsJC98847XXpPs2fPZq1Wa729J6PRyA4fPtypvvj7+7OnTp1yGDFCDSNLO3bsYJVKpVvf07Fjx7J5eXm1vo+mOrLEsixbXl7Otm3blkaWSKtHc5YI8YDLly/j7NmzmD9/PoYMGVKpyGRVeDwe+vfvj2XLluHcuXP1Ogl48ODBuHjxIj766CMkJiYiJCQEUqnU6bIC3t7e+PPPP7F+/Xp079692v34fD6GDBmCw4cPY/HixZVuofcksViMX3/9FStWrEBYWFiV+0ilUkydOhWnT592qXTBvffei9zcXGzfvh1PPfUUunbt6tT/K4VCgYkTJ+LAgQPYsGFDjSNKzYFQKMTbb7/d2N0gpNHRZThC6oHFYsHVq1eRnJyMzMxMFBcXw2KxQC6Xw9vbG1FRUYiJiXEqVDVF6enpOHr0KHJycqDX66FWqxEcHIw77rjDI5W6XcWyLI4ePYp///0Xubm5UKvVCAkJwcCBAz1SsgC4dTny8uXLuHLlCrRaLfR6PQQCAZRKJXx9fdGtWzdER0fXa0AkhDQOCkuEEEIIITWgP4EIIYQQQmpAYYkQQgghpAYUlgghhBBCakBhiRBCCCGkBhSWCCGEEEJqQGGJEEIIIaQGFJYIIYQQQmpAYYkQQgghpAYUlgghhBBCakBhiRBCCCGkBhSWCCGEEEJqQGGJEEIIIaQGFJYIIYQQQmpAYYkQQgghpAYUlgghhBBCakBhiRBCCCGkBhSWCCGEEEJqQGGJEEIIIaQGFJYIIYQQQmpAYYkQQgghpAYUlgghhBBCakBhiRBCCCGkBhSWCCGEEEJqQGGJEEIIIaQGFJYIIYQQQmpAYYkQQgghpAYUlgghhBBCakBhiRBCCCGkBhSWCCGEEEJqQGGJEEIIIaQGFJYIIU0Oy7KYMWMG1Go1GIbB6dOnG7tLhJBWjMISIaTJ2blzJ1auXInffvsNWVlZ6Nq1Kw4cOIDhw4cjODgYDMNg69atDdKXffv2IT4+HmKxGO3bt8fKlStr3f+hhx5CUFAQZDIZYmNjsW7dOod9zGYz3n33XbRr1w5eXl6IiYnBzp07HfaxWq2YO3cuIiMjIZFI0K5dO8yfPx8sy1Z53lmzZoFhGCxatMidt0sIqQKFJUJIk3P16lUEBQWhX79+CAwMhEAggMFgQExMDL7++usG68f169dx//33484778Tp06fx/PPPY/r06di1a1e1x/z999/o3r07Nm3ahLNnz2Lq1KmYNGkSfvvtN26f//znP1i2bBm++uor/Pvvv5g1axYefvhhnDp1ittn4cKFWLJkCRYvXoyLFy9i4cKF+Oijj/DVV19VOueWLVtw9OhRBAcHe/Z/ACEEAMCw1f2ZQgghjWDKlClYtWoV9zw8PBypqakO+zAMgy1btmDEiBH12pdXX30Vv//+O86fP89tGzduHIqKiiqNBNXk/vvvR0BAAL7//nsAQHBwMN58803Mnj2b22fUqFGQSCRYu3YtAOCBBx5AQEAAvvvuu2r3AYDMzEz07t0bu3btwv3334/nn38ezz//fF3fMiGkCjSyRAhpUr744gu8++67CAkJQVZWFk6cOFHntg4ePAi5XF7j4/ZLZBUdOXIEd999t8O2oUOH4siRIy71o7i4GGq1mntuMpng5eXlsI9EIsGhQ4e45/369cOff/6J5ORkAMCZM2dw6NAh3Hfffdw+NpsNEydOxMsvv4wuXbq41CdCiPMEjd0BQgipSKVSQaFQgM/nIzAw0K22evbsWevk8ICAgGpfy87OrvR6QEAAdDodysrKIJFIau3DTz/9hBMnTmDZsmXctqFDh+Kzzz7DwIED0a5dO/z555/YvHkzrFYrt89rr70GnU6Hjh07gs/nw2q14v3338djjz3G7bNw4UIIBAI8++yztfaDEFJ3FJYIIS2WRCJB+/btG+38e/fuxdSpU7F8+XKHkZ8vvvgCTzzxBDp27AiGYdCuXTtMnTqVu0wH3ApZ69atw/r169GlSxduzlRwcDAmT56MkydP4osvvkBSUhIYhmmMt0dIq0GX4QghLZa7l+ECAwORk5PjsC0nJwdKpbLWUaX9+/dj+PDh+PzzzzFp0iSH1/z8/LB161YYDAakpaXh0qVLkMvlaNu2LbfPyy+/jNdeew3jxo1Dt27dMHHiRLzwwgtYsGAB995yc3MRFhYGgUAAgUCAtLQ0vPjii4iIiHDx/xQhpCY0skQIabHcvQzXt29f/Pe//3XY9scff6Bv3741trlv3z488MADWLhwIWbMmFHtfl5eXmjTpg3MZjM2bdqERx55hHuttLQUPJ7j37N8Ph82mw0AMHHixCrnU02cOBFTp06tsX+EENdQWCKENAslJSW4cuUK9/z69es4ffo01Go1wsLCqjzG3ctws2bNwuLFi/HKK69g2rRp+Ouvv/DTTz/h999/5/ZZvHgxtmzZgj///BPArUtvDzzwAJ577jmMGjUK2dnZAACRSMRN8j527BgyMzMRGxuLzMxMzJs3DzabDa+88grX7vDhw/H+++8jLCwMXbp0walTp/DZZ59h2rRpAACNRgONRuPQX6FQiMDAQHTo0KHO75kQUgWWEEKamM8//5wNDw932LZ3714WQKXH5MmT67Uve/fuZWNjY1mRSMS2bduW/eGHHxxef/vttx36Onny5Cr7OWjQIG6fffv2sZ06dWLFYjGr0WjYiRMnspmZmQ7t6nQ69rnnnmPDwsJYLy8vtm3btuybb77JmkymavsaHh7Ofv755x5414SQiqjOEiGEEEJIDWiCNyGEEEJIDSgsEUIIIYTUgMISIYQQQkgNKCwRQgghhNSAwhIhhBBCSA0oLBFCCCGE1IDCUgNhWRY6nQ5UqYEQQghpXigsNRC9Xg+VSgW9Xt/YXSGEEEKICygsEUIIIYTUgMISIYQQQkgNKCwRQgghhNSAwhIhhBBCSA2adVhau3YtZs6ciZ49e0IsFoNhGKxcubLa/XU6HebMmYPw8HCIxWJERETg5ZdfRklJSZX722w2fPXVV+jWrRskEgn8/Pwwfvx4XLt2rZ7eESGEEEKaGoZtxveyR0REIC0tDb6+vpDJZEhLS8MPP/yAKVOmVNrXYDBgwIABOH36NBITExEXF4dTp05h9+7dSEhIwIEDB+Dl5eVwzBNPPIEVK1agS5cuuP/++3Hz5k389NNPkMvlOHr0KKKiopzuq06ng0qlQnFxMZRKpbtvnRBCCCENpFmPLK1YsQKpqanQarWYNWtWjft+9NFHOH36NF599VXs2rULH374IXbt2oVXX30VJ06cwOeff+6w/969e7FixQoMHDgQSUlJWLhwIdasWYOtW7eioKAATz/9dH2+NUIIIYQ0Ec06LN19990IDw+vdT+WZbFixQrI5XLMnTvX4bW5c+dCLpdjxYoVDtuXL18OAJg/fz5EIhG3/b777sPgwYOxe/dupKene+BdEEIIIaQpa9ZhyVkpKSm4efMm+vfvD5lM5vCaTCZD//79ce3aNWRkZHDb9+3bx712u6FDhwIA9u/fX78dJ4QQQkijEzR2BxpCSkoKAFQ7xygqKgq7du1CSkoKQkNDYTAYkJWVha5du4LP51e5f8V2q2IymWAymbjnOp3OnbfgYOjQoThy5IjH2vM0hmEQEBCA0NBQh0dYWBj3Nc3bIoQQ0ly0irBUXFwMAFCpVFW+bv/Fbd/P1f2rsmDBArzzzjt163AtSktLm/yyKTqdrsYwqVQqqw1TYWFhCAkJqTThnhBCCGkMrSIsNYbXX38dc+bM4Z7rdDqEhoZ6pO2IiAgUFBS4fFzFGx9r+7qmbdX91/611WpFfn4+ysrKqu2LTqfDhQsXcOHChWr38fb2RkBAAPcIDAxEYGAg97W/vz9EIhEYhnF48Hi3ri7zeDwwDFPpay8vL6jVakgkkmrPTQghhNi1irBkHyGqbiTIfonMvp+r+1dFLBZDLBbXrcO1WLNmDQwGA3Jzc2Gz2WC1WmG1WmGxWLivKz5YloXNZnP4b8WHfZudPVTcvq1iGLk9oNy+Hbi1eHBubi5ycnKQm5tb6WutVovy8vJq32dRURGKiopw+fLlKl/n8XhQq9Xw9/eHn58ffH194efn5/BQKpXg8Xi4vUKGl5cXNBoN/P39oVarHSbxE0IIIRW1irBU2xyj2+c0yWQyBAUF4fr167BarZXmLdU2B6ohFBQU4N9//60UXJwJMtXtYw85nuLl5QU/Pz906dKlytdZlkVhYSFycnKQnZ2NnJycSl9rtVrYbLYqj7fZbMjLy0NeXl61fRAKhfD39+dGo4KDg3H33XdDoVAgKysLN2/ehEQigb+/P3x9feHj4wOBoFV8LAghhDipVfxWiIqKQnBwMA4fPgyDweBwR5zBYMDhw4cRGRnpcJls0KBB2LBhAw4fPoyBAwc6tLdr1y4AqLS9ofH5fPj5+TVqH9zBMAzUajXUajU6depU5T4WiwV5eXmVQlTFYFVYWFjtOcxmMzIzM5GZmclt+/777zF8+HDMmjULGo0GpaWlSEtLQ3p6OmQyGQIDA6HRaKBSqbhLeoQQQlqvVhGWGIbB9OnT8e6772L+/Pn48MMPudfmz5+PkpISvPHGGw7HzJgxAxs2bMDcuXPxxx9/cJdpduzYgX379iExMdGpGk/EPQKBgJurFBMTU+U+JpOJu8SXnZ2N7Oxs3Lx5E9nZ2dBqtcjNzYXBYOD2t9ls2LZtG3bt2oVHHnkEjzzyCCQSCaxWK0pKSpCSkoLr169DoVAgMDAQarUaCoXC4yNvhBBCmodmvdzJihUrcOjQIQDAuXPnkJSUhP79+6N9+/YAgAEDBmD69OkAbo0g9e/fH2fOnEFiYiLi4+ORlJTELXeyf//+ShN+b1/uJCsrCxs3boRcLseRI0cQHR3tdF89vdxJRkYGLly40KxHlurT5cuXHS67Go1G6HQ6JCcn4+DBgw5lHeRyOe68807ExsaiY8eO6NChA8xmMwwGA0wmE8RiMVQqFQICAqDRaCCVShvjLRFCCGkkzTosTZkyBatWrar29cmTJzssrFtcXIx58+Zh06ZNyM7ORlBQEMaMGYO3334bCoWi0vE2mw2LFy/Gt99+iytXrkAul+Puu+/G+++/j3bt2rnUVwpLDctoNDoEIruSkhIcOnQIFy9exI4dO2C1WrnXIiIiMHv2bAwePNhhFMlkMsFgMMBisUAsFjtMDK+vSfyEEEKajmYdlpoTCktNQ3FxMQ4ePIg77rgDxcXF+Oqrr7B3716HfXr16oXnnnsOHTp0cNjOsiyMRiMMBgNsNhukUil3F55araaJ4YQQ0kJRWGogFJaahophyV764fTp01i0aBHOnz/P7ccwDIYNG4Ynn3wSgYGBldqx2WwoKytDaWkpgFt3UAYEBMDX1xfe3t40MZwQQloQCksNhMJS01BVWAJujRrt2bMHixcvdrhzTiwW49FHH8XkyZMhl8urbNNqtaK0tBRlZWXg8/lQKBTc/CalUkkTwwkhpJmjP38Jwa2RpHvuuQc///wzXnjhBS7Qmkwm/PDDD3j44Yfx888/w2KxVDrWHpD8/f2hUqlQVlaGS5cu4cSJE/jnn3+QkZHhcDceIYSQ5oVGlhoIjSw1DdWNLFW13/fff4+ffvoJZrOZ2x4eHo5nn30WAwcOrHXEqLy8HAaDAeXl5dwSK/aJ4bTuHSGENB8UlhoIhaWmwdmwZHfjxg18/fXX+OOPPxy2x8fH47nnnqu2OnlF9onhpaWlsFqtkEgk3NIsarUaQqGwzu+HEEJI/aOw1EAoLDUNroYlu/Pnz2PRokU4ffq0w/Z7770XTz31FIKDg51q5/aJ4VKp1GFi+O1L6xBCCGl8HgtLubm5OHv2LFJTU1FQUICysjJIJBKo1WpEREQgJiamVf9ip7DUNBgXL4Z45UqYpkyB19NPu3Qsy7LYt28fvvrqK6Snp3PbRSIRxo4di2nTplVZr6s6t08Ml8vl8Pf3h1KphEKhqFQklRBCSONwKyzt2bMHmzdvxs6dO5GWllbr/hERERg6dCgefvhh3H333a3qLiEKS03AihXA0qX//3zWLOB/Fd5dYbFYsGnTJnz77bcoLi7mtqtUKkyfPh2jR492+dKaxWJBaWkpjEYjGIaBWCyGXC6Hr68vFAoFlEolt+QOIYSQhuVyWCosLMTSpUuxZMkSh1usnWmmYjgKDg7GU089hVmzZsHHx8eVLjRLFJYa2e1Bya6OgQm4VQ38hx9+wI8//ojy8nJue0hICJ555hncdddddfqDwGazwWQywWg0wmw2g2EYeHl5QaVSQa1WcyNPVASTEEIahtNhSa/X45NPPsGiRYtQUlLiEI6kUikSEhLQqVMnqNVqrr5McXEx8vPzUVBQgH///RcnT57k5moAt8KTTCbDCy+8gJdeesmlSxjNDYWlRlRdULJzIzABQFZWFr755hvs2LHDYXv37t3x/PPPo3v37nVuG7h1uc4eniwWC/h8Pry8vODt7Q0fHx8olUrI5XKa70QIIfXEqbC0evVqvPrqq8jNzQXLsmAYBv369cOoUaMwePBgdO/e3amKxVarFWfPnsWBAwewadMmHD58mGvP398fH330ESZOnOiRN9bUUFhqJLUFJTs3AxMAXLx4EYsWLcLJkycdtt999914+umnERIS4lb7dhaLBUajEUajETabDQKBgJsf6O3tDYVCAZlMRlXECSHEQ5wKS/YfukqlEjNmzMDMmTNdXki2KteuXcPSpUvx7bffQqfTgcfjVVn0ryWgsNQInA1Kdh4ITCzL4tChQ/jiiy+QmprKbRcIBBgzZgwef/xxeHt7u3WO25nNZi48sSwLkUgEiUQCjUYDlUoFhUIBqVTaquYIEkKIJzkVlpRKJV5++WU8++yzLt1u7SydTodFixbhk08+gU6n83j7TQGFpQbmalCy80BgAm6N/mzbtg3Lli1DQUEBt12hUODxxx/HI488Ui8TtlmWdQhPwK0lW2QyGXd5XKlUUlFMQghxgVNhKTc3F/7+/vXeGa1W22J/+VNYakB1DUp2HgpMAGAwGLB69WqsXbsWJpOJ2x4cHIzZs2cjMTGxXkd8WJbl5juVl5dzd9opFAouPCkUCrrTjhBCakBFKRsIhaUG4m5QsvNgYAJu/cGxZMkS/Pbbbw43R3Tp0gXPP/884uLiPHaumlR1p51EIoFSqaQ77QghpBoUlhqIPSwdDgqC3AMTb61WK8xmM90BVZHBcOvhKTLZrYcHJZvN+KKkBMcqrDcHAINFIjwjlyO8gUMKy7Jgb31xK8QxDBiGAY9hwOPxwPB44NXTyJcwMBCd/vmnXtomhBBPorDUQOxhaR8AeWN3hjS6IwAWAbhaYRsfQB8A/QEMAODcAirNl7BNG3S/caOxu0EIIbWq17B0+PBhHDhwADf+9wOxTZs2GDhwIAYMGFBfp2yyaGTJcyqNhgC3RkRKS8GrUMfLbfUwslSRlWWx3WjEUoMBeTZbpdcj+XwMEIvRXyRCrFAIQSPczcb+7/9xpR8TDAPmtq+Z/41Kca9V99//oZElQkhzUS9h6fLly5g4cWKlejN28fHxWLNmDTp27OjpUzdZNGepbsxmM8rLy1FeXg7z/y5d8fl8iEQiSKVSqFQqyOVySKVSSKVSFHz0EW6+9Zb7J/bwnKWalJWVYe3atdi8eTO0Wm2V+8hkMvTu3RsDBgxAv3794Ovr2yB9qwrLsrDZbLBardyj4vOK4Yr53+U8Pp/PPUQiEby8vCAWiyEWiyEQCCAUCiEUCit9TeUOCCFNgcfD0o0bN9CzZ09otVqwLIugoCCEhoaipKQEqampXAVvf39//PPPPx4r1NfUUViqGcuysFgslYKRQCCASCSCTCaDSqWCTCbjglF1d3BlzZ/vVmAqmTABglmzGvz2epZlkZKSgkOHDuHw4cM4d+4cbFWMOAFAx44dMWDAAPTv3x+dO3dusiOMLMtWClMVA5bNZgPDMFxxWnugsgcssVjMBSuRSFRtqHJ1LT5CCHGFx8PSjBkzsGLFCnTv3h3ffPMN+vXrx71WVlaGpUuX4rXXXoPFYsH06dOxbNkyT56+yaKw9P/stYDswcheiNQejORyeaVg5Oovw7oGJvWbb8IwbhxycnJgNpuhVCohFotdbscTioqKcPToURw+fBh///23w6K9FXl7e6Nv374YMGAA+vTpUy+10BqCPVhVNVplH7Gyqxis+Hw+AgICEBkZ2WjfK0JIy+bxsBQaGors7GxcuXIF4eHhVe7z6quv4uOPP0ZwcDA3n6mla61hiWVZLhSVl5fDarWCYRgIhUKIRCIoFAoolUouGEkkEo/dtu5qYAp+910EzZ0L4FZQSU9PR05ODqxWK1QqVaPWIrJarbhw4QIOHz6Mw4cP49KlS1Xux+Px0K1bN27UKSoqqkVeyrKPSlmtVlgsFpSUlECtVqN9+/aNeomSENIyOR2Wxo0bh6+++qrWX85isRje3t7Iycmpdp+ff/4ZY8eOhUgk4qoMt3StKSyVl5dDr9c7BCOxWMxVj7aPFkkkknq/fORsYKoYlOxYlkVBQQHS09O5y8oqlapJXPLRarX4+++/cejQIRw/fhyGakom+Pv7o3///ujfvz969eoFqVTawD1tGDabDYWFheDxeAgLC0NkZGST+D4RQloGp8MSj8eDWq3GRx99hGnTplW7X2hoKLKysnDt2jWEhYVVuY99ZKlNmzbIyMioW8+bmdYUlrRaLfz9/aHRaByCUWMt7FpbYKoqKFXEsizy8vKQlpaGvLw88Pl8qFSqJjNPyGw24/Tp0zh8+DAOHTrksCZdRUKhEHFxcdyoU3Ujv81ZaWkp9Ho9fH19ERUVBR8fn8buEiGkBXA6LA0dOhR//PEHGIbBoEGDsGzZMkRFRVXazz5nKS4uDkuWLEGvXr2414xGI7799lu8/PLLsFgsePzxx/Htt9967t00Ya0lLNlsNuTn5yMuLg4BAQGN3R1OdYGptqBUkc1mQ25uLtLS0lBYWAiBQAClUtlkQpPdjRs3uMt1J0+edFhmpaLQ0FD0798fAwYMQFxcXIuZ72O1WlFYWAihUIiIiAiEhYVRRXJCiFtcmrO0du1avPjii9BqtfDy8sKbb76JV1991eEHUWZmJuLj45GXlwfg1hpYISEhMBgMuH79OkpLS8GyLDQaDZKSkhAaGur5d9UEtZawVFZWhvLycvTt2xcSiaSxu+Pg9sDkSlCqyGq1IicnB2lpaSgqKuLWWmuskbOaGI1G/PPPPzh06BAOHTqE7OzsKvfz8vJCQkICN+oUGBjYwD31PIPBAIPBAH9/f0RFRXnkc0cIaZ1cnuBdUFCAOXPmYPXq1WAYBl26dMG3336LPn36cPtcvHgRjz32GE6fPl1lG927d8eaNWvQrVs3tzrfnLSWsFRYWAiVSoWEhITG7kqVkl95BbqPP4by5ZcR/dFHbrVlNpuRnZ2N9PR0FBcXQyKRQKFQNNkJ1SzL4vr161xpgtOnT8NqtVa5b/v27blRp27dujXbkRmLxYLCwkJ4eXmhbdu2CAkJaZKhlhDStNX5bri//voLM2fOxNWrV8Hj8TBr1iwsWLAACoWC2+fAgQM4cOAAMjMzAdyq4H3HHXdg0KBBnul9M9JawlJubi46duyIyMjIxu5KlbKysvDtt99ixowZCAoK8kib5eXlyMrKQlpaGkpKSiCTySCTyZpsaLIrKSlxKE2Qn59f5X4KhQI9e/aEn58fN/9MIpFwX1f87+3bmkrI0uv1KCsrQ1BQENq3bw+5nBYdIoQ4z63SASaTCfPmzcOnn34Kq9WKNm3a4Msvv8SIESM82MWWoTWEJavVioKCAvTs2bPJ3r5dH2HJzmg0IjMzEzdu3IDBYOAqizf10ATcmo916dIlbq7ThQsXKi9xUgcikajaQFUxdFUVvKp7TSwW1+n/qdlsRmFhIWQyGdq1a4egoCAaZSKEOMUjdZbOnTuHJ554AsePHwfDMBgxYgS++uorBAe39KVAndcawlJpaSmsViv69evXqDWJalKfYcmutLQUN27cQGZmJsrKyqBUKpvc/K3aFBQU4MiRIzh06BCOHj0KvV7f2F3i8Hg8h6Dl6+uLRx99FIMHD671WJZlodPpUF5ejuDgYLRv377FllMghHiOx4pSsiyLxYsX4z//+Q/0ej2USiU+/PBDzJo1yxPNN3utISwVFBTAz88PsbGxjd2VajVEWLIrKSlBRkYGsrKyYDKZoFQqG3wJFU+wWCy4ceMGSktLUVpairKyMof/VrWt4n9v31ZfxowZg+eff96pu/rKy8tRWFgIpVKJ9u3bIyAgoFmMABJCGofHK3hnZmbiqaeewvbt28EwDPr27Yvly5ejU6dOnjxNs9MawlJubi66dOlSbX2tpqAhw5KdTqdDeno6srOzYbFYGnUJlcZms9lgMplqDVsVg1ZN+xkMBpSUlHDtR0VFYcGCBYiIiKi1LyzLoqioCFarFaGhoWjbtm2zDLOEkPpX59mXV65cQV5eHmQyGaKiorgfMm3atMG2bdvwyy+/4Nlnn8Xff/+NuLg4vPrqq3jzzTeb7OUZ4h6LxQI+n+8wwZ/colQq0bVrV7Rp0wbp6enIzc3lRl9b2+eh4iU0T2BZFps3b8Znn30Gk8mElJQUTJgwAa+88gqGDx9e42gRwzDw8fGByWRCamoqioqKEBUV1aT+ACGENA0uzW60WCx49913ERAQgA4dOqB///6IjY2Ft7c3HnnkEYfKwaNHj8alS5cwY8YMmM1mvPfee4iJicGBAwc8/R5IE2A0GuHl5UVhqQY+Pj7o3r074uPj4e/vD51Oh7y8PG4hYeI6hmEwatQorFq1irsD02g04t1338XcuXMdRp2qIxaL4efnB4PBgNOnT+Py5csoLy+v764TQpoRp8OS2WzGfffdh3feeYdbJ8v+KC8vx6ZNm9CzZ0+HBT6VSiWWLl2KAwcOoGPHjrh8+TLuvPNOzJgxo9oV1EnzZDQaoVarm8yt4k0VwzDQaDSIjY1FfHw8NBoNCgsLUVBQUG3NI1K79u3bY82aNXj44Ye5bTt37sSECRPw77//1nq8fTkniUSCq1ev4tSpU9WWUiCEtD5Oh6Uvv/wSf/75J1iWxZAhQ7B9+3b8+++/OHDgAF588UUIhUIUFBRg+vTplY7t378/Tp8+jbfffhsikQjfffcdOnXqhJ9++smjb4Y0HpvNRutwuYBhGPj5+SE+Ph6xsbFQKpXIz89Hfn4+DAYDBac6sK8qsGDBAshkMgC3ln6ZNm0a1q5dC5vNVmsbEokEvr6+KCoqwunTp3HlyhUa+SOEOD/BOy4uDmfPnsVdd92F3bt3V5oL8PXXX+OZZ54BwzC4evVqtRMsL126hJkzZ+LgwYPg8Xit5gdRS57gXV5eDoPBgF69ejX5JSUaY4K3M+xLqGi1WhQVFcFoNMJms0EgEMDLywteXl5UE8gFmZmZeOONN3DhwgVuW//+/TFv3jynQ719uRQ/Pz+0b98e3t7e9dRbQkhT5/RP3+TkZADA+PHjq5w0OX78eO7rlJSUatvp2LEj9u/fj2XLljX5X6zEOUajERKJhKoiu4HP5yM4OBgxMTHo168fEhIS0LlzZ2g0Gq7YZ25uLgoLC1FWVubUKElr1qZNG3z33XeYNGkSt+3w4cMYP348/vnnH6fakMlk0Gg0yMvLQ1JSEq5fv04jfoS0Uk6HJftclOomTBoMhkr71uSJJ55wmN9Emi+TyQRfX18a+fAQoVAItVqN8PBwxMfHo2/fvujRowc6duwIlUoFs9mM/Px85Obmori4GEaj0SPVtlsagUCAZ599Fl999RXUajUAIC8vD08++SSWLFni1Kg2n8+Hn58f+Hw+Ll26hDNnzjSpAp2EkIbh9G+32NhYsCyLJUuWVBmYFi5cCODWXIzu3bs71aa/v7+zpydNlH2Sv0qlauyutFhisRi+vr6IjIxEQkIC+vTpg/j4eERFRUEqlcJkMkGr1SI3N5erTk3h6f/17dsX69evR69evQDc+jf73XffYebMmcjOznaqDblcDrVajZycHJw8eRIZGRk0ukdIK+J0WJo9ezaAW5fjoqOj8dprr2HZsmVYsGAB+vfvjyVLloBhGIwZMwYajabeOlxXK1euBMMwNT6GDBnC7T9v3rwa961YJqE1M5lMEIvFVDKgAUkkEvj7+6N9+/bo3bs3evfujbi4OLRt2xZisRilpaXQarXQarXQ6/Uwm82N3eVG5+vri8WLF+Ppp58Gn88HAJw5cwaPPvoo9u7d61QbAoEAfn5+YFkWFy5cwLlz5xxG1AkhLZfT93k/8sgjOHHiBD799FNkZ2fj448/5l6z/xUbFxeHJUuWeL6XHhAbG4u33367ytd++eUXXLhwAUOHDq302uTJk6ucrE6TPW8xGo2QyWS0vlYjYRgGMpkMMpkMgYGBsNlsMBgM0Ov1KC4uRn5+PvR6PSwWC3g8HjdZvDWWeODxeJgyZQri4+Px5ptvIisrCzqdDi+//LLTS6UwDAOlUony8nJkZmaiuLgY7du3R1BQEC2XQkgL5tJPzI8//hiJiYlYsmQJjh49ylXw7tSpE8aNG4dZs2Y12YrEsbGxVa5ZVl5ejsWLF0MgEGDy5MmVXp8yZYpTC3S2VuXl5QgPD6dfFE0Ej8eDQqGAQqFAcHAwrFYrSkpKoNfrUVhYiMLCQhQXF8NqtYLP53PhyT7a0hp0794d69evx/z58/HXX38BAH7++WecPn3a6aVSRCIR/P39UVxcjHPnzqGgoADt2rVrdgsmE0Kc4/Kfl/fccw/uueee+uhLo9i6dSvy8/MxYsQIBAQENHZ3mhWbzQaGYWi+UhPG5/OhUqmgUqkQEhICi8UCvV7PhaeioiIUFhbCZrNBKBTCy8sLYrG4yU7Wr1gM12azcV8LhUKX+qxQKLBw4cI6L5UC3Bpl8vb2hslkQnp6OjfK5O/vT388ENLCtL6x+NusWLECAKospgkABw4cwLFjx8Dj8RAVFYW7776bbpH/H5PJREucNDMCgQA+Pj7w8fFBWFgYzGYzdDod9Ho9CgoKoNPpUFJSApZlIRKJuPDk7C//6sJMxa+deW7HMAz33N6HinMHeTweGIZBUVERvL29XVqg2L5USkxMDN544w1cu3aNWyrl+PHjeO2115z6rNuXSykuLsaZM2e4RXlb62LJhLRErTospaWl4c8//0RISAjuvffeKve5fZ6Tt7c3vvjiC4f6La2V0WiEj48PrdTejAmFQmg0Gmg0GkRERMBkMkGn00Gn0yE/P5+7hMeyLHg8XpVh5nZVhRn7f+1fC4VC8Pl87iEQCCAQCLjnPB6P+29Vj4qvsSyL9PR0pKenQywWu1y/rX379li9ejU+/fRTbNmyBcCtpVLOnz+PDz74AJ07d661DR6PBx8fHxiNRly/fp0bZfL19XWpL4SQpqlVh6UffvgBNpsNU6ZMqTRnIyYmBt9//z0GDx6MoKAgZGdn47fffsNbb72FKVOmwNvbGw8++GC1bZtMJphMJu65Tqert/fRWMxmc5O885HUnX2UxM/PD+3atUNZWRk3WdxisTgdZmp73dOXqTp16gSlUokrV65Aq9VCrVa7NA/LvlRKr1698N5778FgMHBLpTz99NN49NFHnbrM5+XlBZFIhMLCQpw+fRphYWGIjIyEUCh05+0RQhqZU8udjBkzBgsXLkTbtm3rrSPnzp3D3LlzsXXr1no7R0U2mw2RkZHIyMjA1atXuRXLa/Pnn3/innvuQdeuXXH27Nlq95s3bx7eeeedSttbynInVqsVhYWFSEhI4Ar+NQdNdbkT4hnFxcW4fPky8vLyoFKp6jTq6YmlUgCgtLQUer0efn5+iI6Oprl9hDRjTs2I3LRpEzp16oSpU6fi4sWLHu3A+fPnMXbsWMTFxWH79u0ebbsme/bsQXp6Ou666y6ngxIADBkyBO3atcO5c+dqHC16/fXXUVxczD0yMjI80e0mw2g00nwl0uSoVCrExsYiMjISJSUlKC4udrlApyeWSgEAqVQKX19f5Ofn49SpU1TIkpBmzKmwdNddd8FsNmP16tXo2rUrBg8ejJUrV6KwsLBOJ83Ly8OXX36Jnj17IiYmBr/88gtsNhvuuuuuOrVXF7VN7K6JfR5CaWlptfvY505UfLQk9vlKdHmBNDUikQgdO3ZE165dwePxoNVqXV7TzRNLpQD/v1yKvZDlhQsXUFZW5vJ7IoQ0LqcuwwHATz/9hNdffx3Xr1/n5hvw+Xx06dIFffr0Qe/evdGxY0eo1WpoNBooFArodDoUFBSgoKAAFy9exLFjx3Ds2DFcuHABVquV+4uvXbt2+OCDDzBmzJj6e6cV5OfnIzg4GHK5HDdv3nTprhWDwYCgoCDYbDYUFRU5XdxPp9NBpVK1mMtwubm56Nq1K0JDQxvl/HVFl+FaF51Oh8uXL0Or1db5slxeXh7eeustHD9+nNsWExOD999/H4GBgU63U15ejqKiIqhUKkRFRTXaZ5cQ4jqXKniPHDkS33//PT799FOkpKTAYrHg7NmzOHv2LL799lunT2oPSR06dMBLL72EyZMnN2hF4TVr1qC8vBwTJkyoMijp9XpkZWUhOjraYXtZWRmeeOIJ6PV6TJ06tVVWQQZuTewWCAQtbrSsKdHr9dUuWl0TuVxOl0YrUCqViI2NxdWrV5Geng6TyQSlUunSBHP7UimrV6/GkiVLYLVauaVS5s6dizvvvNOpdkQiEXx9fVFUVIQzZ84gIiICERERrfbnCCHNidMjSxWxLIs//vgDK1euxO+//+7SKtwqlQrDhw/HpEmTcPfdd7t6ao/o1q0bzp8/j7Nnz6Jbt26VXk9NTUXbtm2RkJCATp06ITAwEDk5OdizZw9u3LiBbt26Ye/evS7dCdaSRpb0ej0EAgH69u3b7Co/N5eRpX379mH//v0uHzdo0CCqOF8FlmWRlZWFlJQUlJaWQqPR1Onf7tmzZ7mlUuycXSqlotLSUpSUlMDf3x/R0dEUcAlp4uoUlioym834+++/cezYMZw7dw6pqakoKCjgFljVaDSIjIxEt27d0KdPn0b/BXv8+HH07t0bvXr1wrFjx6rcR6fT4Y033sDx48eRmpqKwsJCSCQSdOrUCaNHj8bTTz/t8rIGLSksabVahIeHo1OnTg1+bnc1l7BU3chSXl4eNm/ejJEjR1ZZw4dGlmqm1+uRnJyM3NxcKBSKOi1Potfr8d577+HPP//ktkVFRTm9VIqdxWJBQUEBpFIp2rdvj+DgYKr8TUgT5XZYIs5pKWGJZVlotVrExMQgODi4Qc/tCc0lLFWnufe/KTCbzbh27RrS0tK45WBcDSksy2LLli349NNPuXpqXl5eTi+VUrEdnU4Hs9mM0NBQtGvXjip/E9IENc0FoEiTZTabIRKJaL4SabaEQiGio6PRvXt3CIVCaLVap+9us2MYBiNHjsSqVau4+nP2pVLmzp3r9Hwz+9qKCoUCqampOHXqFPLz811+T4SQ+kVhibikrKwMUqkUMpmssbtCSJ0xDIPAwEDEx8fD398f+fn5dbql375UysMPP8xt27lzJyZMmIB///3X6XYqri93+vRpXLt2zeVyB4SQ+kNhibikvLwcGo2G5laQFkEulyMmJgbt27dHWVkZCgsLXS5iaV8qZcGCBdwfEfalUtauXet0IUoejwdfX18IhUJcvnwZZ8+ehcFgcPk9EUI8j8IScZr9lwgt20BaEoFAgKioKHTv3h1isbhOl+UA4J577sH69evRpUsXALcmcC9atAgvvPCCSwV8ZTIZfHx8kJ2djZMnTyIrK8vlAEcI8SwKS8RpJpOJ5iuRFolhGAQEBCA+Ph4BAQHIz8+vsUJ/dTy1VIpQKISfnx/MZjPOnTuHy5cvo7y83OX+EEI8g8IScVpZWRkUCkWdqiAT0hzIZDJ0794d0dHRMBqNKCgocHlUp6alUpYuXer0qBXDMPD29oZMJsO1a9dw6tSpOi8xRQhxD4Ul4jSz2QxfX1+ar0RaNIFAgPbt2yMmJgYSiQS5ubkwm80ut9O3b1+sX78evXr1AnDrMvaKFSswa9YsZGdnO92Ol5cXV/n71KlTSEtLowV5CWlgFJaIU6xWK3g8HhU8JK2Gv78/4uPjERwcjMLCwjpNtrYvlfL0009zxXhPnz6NRx99FPv27XO6HT6fD19fX/D5fPz77784d+5cnS4TEkLqhsIScYq9IjvNVyKtiVQqRbdu3RAdHY3y8vI6XZbj8XiYMmUKli9fzhUS1el0eOmll/DRRx9xRS2dIZfL4ePjg8zMTCQlJSE3N9elvhBC6obCEnGK0WiESqWCSCRq7K4Q0qD4fD7atWuHmJgYSKXSOl+W6969O9avX4+77rqL2/bTTz9h6tSpSE1NdbodoVAIf39/GI1GnDlzBsnJyXXqDyHEeRSWiFMsFotLCwcT0tL4+fkhPj4ebdq0QWFhodNVuitSKBRYuHAhXn/9dW5Zk+TkZEyYMAHbt293etSKYRj4+PhAIpHg6tWrOHPmDHQ6ncv9IYQ4h8ISqZXFYgGfz6f5SqTVk0gk6Nq1Kzp06ACLxYL8/HyXJ1szDINRo0Zh1apViIyMBHBr5Padd97BW2+95dLcKIlEAo1GA61Wi6SkJNy4cYMmfxNSD+otLBUVFSEjIwNFRUX1dQrSQIxGI7y8vCgsEYJbl+Xatm2LmJgYyOVyaLXaOtVAat++PdasWeOwVMqOHTswYcIEXLx40aX++Pn5gWVZnD9/Hv/++y+MRqPL/SGEVM9jYamkpASLFy/G4MGDoVAooNFoEBERAY1GA4VCgTvvvBPffPNNnYauSeMyGo1Qq9UQCASN3RVCmgxfX1/ExcUhJCQERUVFdfrZZl8q5YMPPuCWSsnIyMDUqVOxfv16ly7LKZVKqFQqpKenIykpCXl5eS73hxBSNY+Epe3btyMqKgrPPfccDh48CIPBAJZluYfBYMCBAwfwzDPPICoqCr/99psnTksaiM1mg4+PT2N3gwDQ//477j95Evrff2/srhD8/2W5Tp06wWq1Ii8vr06XwRITE7Fu3TqHpVI+++wzzJkzx6XReZFIBD8/P5SUlODMmTO4evVqnZZuIYQ4cjssrV69GiNHjkRubi4XjhQKBWJjY9G/f3/ExsZCqVRyr+Xk5GDEiBFYs2aNJ/pP6ll5eTmEQiFdgmsCsjZsgP7XX8EA0P/6K7I2bGjsLhHcKg0QERHB/ayr62W5kJAQrFixAhMnTuS2HTx40OWlUng8HjQaDUQiEZKTk3H27Fka0SfETW6FpStXrmDWrFmwWq1gWRYPP/wwjhw5guLiYiQlJeHgwYNISkpCUVERjh49ilGjRgG4NVIxc+ZMXL161SNvgtQfo9EIiUQCuVze2F1p1bI2bMDN9esdtt1cv54CUxOiVqsRFxeHsLAwFBcXQ6/Xu9yGUCjEc889h6+++oobzdVqtXjyySexbNkyl0aJpFIp1Go1cnJykJSUhJs3b9KCvITUkVth6fPPP4fRaATDMPjoo4+wadMm9O7du8p9e/XqhZ9//hmffPIJgFtFDj///HN3Tk8agMlkgkajAY9HN042lqqCkh0Fpvql1+uRlZXl9KOwsBA+Pj6IiIiAzWar82W5vn374scff3RYKmX58uV48sknXVoqRSAQwM/PDxaLBefOncPFixddKoJJCLnFrRm7u3fvBsMwGDhwIF566SWnjpkzZw62b9+O/fv3Y9euXe6cntQz+6VTb2/vxu5Kq1VTULKzvx40blxDdKlVOXnyJPbv3+/ycYMGDUJcXBwuX74MrVYLb29vrq6Ss+xLpaxatQpLly6F1WrFqVOn8Nhjj+Gtt97CoEGDnGqHYRioVCqYTCakpqZCp9MhOjqaW+SXEFI7t8JSZmYmAGD06NEuHTd69Gjs37+fO540TeXl5RCLxTRfqZE4E5TsKDDVjx49eqBDhw6Vtufl5WHz5s0YOXIkfH19K70ul8uhUCgQFxeHq1evIiMjA0ajEUql0qWFqHk8HqZOnYr4+Hi8+eabyM7ORnFxMV588UWMHTsWzz77rNMhTCwWw8/PDwUFBTh9+jQiIyMRGhpKd7kS4gS3PiVyuRwmkwkBAQEuHefv788dT5ouo9EIqVQKqVTa2F1pdVwJSnYUmDxPoVDU+MeCr68vt95bVcRiMTp16gRvb2+kpKRAq9XWqQxHTEwM1q9fj/nz52Pv3r0AgI0bN+LUqVP44IMPEBER4VQ7PB4Pvr6+KCkpwaVLl5CVlYU2bdrAz8+PPueE1MCtiSjt27cHAKSnp7t0XEZGBgAgKirKndOTemYymeDr6+vSX8LEfXUJSnY0h6npYRgGwcHBiI+Ph7+/PwoKClBaWupyO0qlEh999BFee+01bo3G5ORkTJw40eVyLHK5HBqNBkajERcuXMDx48dx8eLFOi0UTEhr4FZYGjt2LFiWdal4GsuyWLduHRiGwTj6C7jJstls3FwH0nDcCUp2FJiaJoVCgZiYGERFRcFkMtV5qZTRo0c7LJVSVlaGefPmYe7cuS4tlcLn86FSqeDv7w8+n4/U1FT8888/OHnyJG7evFmn8geEtFQM68afESaTCb1798a5c+fwzDPPYNGiRbUe88ILL+CLL75AbGwsjh492mpWsdfpdFCpVDj86KOQe+A9W61WmM1m8OvpLjWWZcHiVpG7ljSyZLVaYTAYIJPJwOfzG7s7DqylpbCVlXmsPZ5EAj5dWqkXRSIR9gYH486bN+Fdh1Bhs9lgsVhgs9nA4/FQl09YmcWCT06exLYKJVhC5XIsGDAAHZ2dvC2XAzNmcE/Ly8tRUlICi8UCuVyO4OBg+Pv707xF0uq5FZaAW5O8x4wZg2PHjiEhIQEvvfQShgwZ4lDxuaioCH/88Qc+++wzHD9+HH369MEvv/xS47X+lsYelvbdey/kQmFjd4cQ4oZiiQQHO3fGHf/+C5UHA25d7MrMxAdnz8LwvxpMAobBc507Y1xkZO1/6CgUwJw5lTbbbDYYDAaUlpbCy8uLm5ulVqub3B8ZhDQEp8JS27Zta3zdbDYjMzPT4YPp4+MDmUwGg8GAwsJCALdGK+zX74VCIRiGaTWFKZvbyJLVZoNQIAC/hd0pQyNLxBPcHVmqyGq1wmKxgGXZOo8y3dDr8cbhw/i3oIDbdkdwMN7u0wfeXl7VH3jbyFJVysrKUFJSwl2Wt08I96qpXUJaGKfCEo/HA8Mw1c5LqhiSamru9v0YhoHVanWlv82WPSwVFxdDqVS63V5GRgYuXLgAPz8/D/TOkdVqRWFhIRISElpcLZasrCx8++23mDFjRpMc2fTEnCUACH70Uborrh55+t9RcXExd7ecQqGARCJxuQ2z2YxvvvnGYSkpPz8/vPfee+jRo4fbfbRYLCgpKYHJZIJMJkNgYCACAgKgUqla1KV6Qqri1LBBWFgYfRhaEaPRCC8vL5qn0AjsAcedwERBqflRqVSIiYnB9evXkZaWBqPRCG9vb5d+7tqXSunZsyfmzZuHwsJCbqmUxx9/HNOnT3drNFUgEMDb25tbHP3atWvIyMiAWq1GcHAwfH19qWYTabGc+pedmppaz90gTYnRaERAQACENLeqUbgTmCgoNV9CoRBRUVFQqVRISUlBbm4u1Gq1y5/D/v3748cff8TcuXNx4sQJ2Gw2LF++HCdPnsT8+fNdrot3O4ZhIJfLuTp7Wq0Wubm5UCgU3IRwmUzm1jkIaWpowS9SidVqbXGX35qboHHjEPzooy4dQ0Gp+WMYBgEBAYiPj0ebNm1QWFiIkpISl9uxL5Xy1FNPcaNJSUlJePTRR3HgwAGP9VcsFsPX1xdqtRrl5eW4ePEijh8/jgsXLtSpNAIhTRWFJeLAbDZDIBB4ZF4VcY8rgYmCUsPSJyfj/sBA6JOT66V9qVSKbt26oXPnzrBarcjLy3N5fiefz8e0adOwbNkyBAYGArg1N2rOnDn49NNPPVpHic/nQ6lUwt/fHwKBABkZGTh58iT++ecfZGZmUs0m0uxRWCIOjEYjJBIJLUXTRDgTmCgoNayspCToL18GwzDQX76MrKSkejkPj8dDeHg44uLi4O3tjby8PBiNRpfbiY2Nxfr163HnnXdy23788UdMnToVhw4dguV/JQc8gWEYSKVS+Pn5QalUori4GGfPnsXRo0dx5coV6HQ6j52LkIbk0dl4eXl5+P3333H06FFkZWVBr9dz17F79+6N+++/v8pFJ0nTYTQaERYW1uRuq2/NaprDREGpYWUlJeHmP/84bLM/D4qPr5dz+vj4VFqQ19U70OxLpWzatAmfffYZysvLcfnyZTz//PPw8/PD8OHD8eCDDyIkJMRj/RYKhVCr1VzNpuTkZKSlpXE1mzQaDf2cIc2G20UpAaC0tBSvvPIKvv/+e5hMpmr3E4vFmD59OhYuXFinW2Obs+ZQOoBlWWi1WsTExCA4ONhj7TYGvV5f5VwPZ1eLb4puLytAQalhVRWUKgru2bPeAhNw6/OZnZ2NlJQUGAwG+Pj41OkmjJSUFLz55pu4du1apdd69uyJESNG4M4774RYLPZEtx0YjUbuc6lUKrmaTa3t9wFpftwOS3l5eRg0aBAuXbrk1PpwDMOgU6dO2L9/PzQajTunblaaQ1gqLy9HaWkpevfu3ewvw+3btw/79+93+bhBgwZh8ODBnu+QhySvWAHdr79C+eCDiJ4+vbG702rUFpTs6jswAUBJSQlSUlKQlZUFuVxepzvPLBYL/v77b2zbtg2HDh2qNB9KoVDgvvvuw0MPPYQOHTp4quscq9UKvV4Pk8kEqVTK1WxytVwCIQ3F7bA0aNAgHDx4EAAgkUgwfvx4DB06FNHR0ZDL5SgpKUFycjJ27dqFDRs2cKttDxw4EPv27XP7DTQXzSEs6XQ6eHl5oU+fPs3+B1Z1I0u1acojS0DTL6rZEjkblOwaIjBZrVakpaXh+vXrsFgsUKvV4NWxmn9eXh5+++03/Prrr0hPT6/0eqdOnfDQQw9h6NChHv9ssCyL0tJSGAwGCAQCh5pNVLqENCVuhaUtW7Zg1KhRYBgGsbGx2Lx5M8LDw6vdPy0tDaNHj8bJkyfBMAw2b96Mhx56qK6nb1aaQ1jSarVo27YtoqOjPdYm8SwKSw3L1aBk1xCBCQDy8/ORkpKCgoICeHt7u3XpjGVZnDp1Ctu2bcOePXsqTakQi8UYMmQIHnroIcTHx3v8D6ry8nLo9XpYrVYoFAqEh4cjKCiICl2SJsGtu+E2bNgA4FZJ/T/++KPGoAQA4eHh2LlzJ/z9/QEA6z2wrAPxDHtmVqlUjdwTQpqGugYl4Nak7/q6S64ijUaDuLg4REREQK/Xo7i42KnpEFVhGAbx8fF45513sGvXLrz22mvo1KkT97rJZMJ///tfzJw5E6NGjcLKlSuRl5fnqbcCkUgEjUYDjUaD8vJynD9/HklJSdBqtXV+T4R4ilth6dixY2AYBtOmTXO6iKFGo8Hjjz8OlmVx7Ngxd05PPMhkMkEkElF9JULgXlCya6jAJBaL0alTJ3Tt2hV8Ph9ardbtcgByuRyjR4/GmjVrsG7dOjzyyCMOl+DS09OxePFi3H///ZgzZw4OHDjgsRIEfD4fKpUKGo0GhYWFOHXqFC5cuFCny+qEeIpbl+GkUilMJhPWrVuHcS7clbNhwwY8+uij8PLy4uYwtXT2y3CHv/0Wcg+sBG+1WGC2WMCv4zyF29lsNjA8HkQikUfaI/XDarXCYDBAJpPRbdf1xFpeDpvZ7LH2eEIh+A30uWJtNlgsFlhtNjAMA54HL5UZy8uxLykJ2w4exImLFyu97qtSYfiAAXhwwACEurmkSkUsy8L2v4XX+Xw++Hx+s59TSZqW7o89Vus+bl0MFolEMJlMLldnte/fGifwmUtLYfbQkDIfAFys6lsd3v/aMnvwlwSpHxI+HzajEbSQRPNgM5s9Gr6cUR8x2othcG+PHri3Rw/c0Grx6+HD2H7kCLRFRQCAvOJi/PD77/jh998RHx2NEf374674eHi5GRQZ/P/7YS0WeK6EJiHOcyssBQcH4/Llyzh48CAmTZrk9HH2tYnatGnjzuldFhERgbS0tCpfGzRoUKW780wmExYuXIg1a9Zwq2s/8MADeO+997h5V64SSqUQNrGRJRa3RpZEQiF4NFrRpNHIUv1rziNLFdmsVlgsFthYFjyG8ehoTEhwMJ4aMwYzRo7E0fPnse3gQRw4c4YrQZCUnIyk5GR8tGED7uvTBw8NHIiOtcxpdQaLW6NnLAA+jwe+QFDnuwAJcYVbl+GeeuopLF26FCKRCMeOHUNMTEytx5w+fRp9+vSB2WzGzJkz8c0339T19C6LiIhAUVERnn/++SpfmzJlCvfcZrNh2LBh2LVrF/r06YNBgwYhJSUFW7ZsQWRkJI4ePerSnWhN+W640tJSWK1W9OvXjy7DNXF0N1zD8MScJaDh7oqrTllZGa5cuYLMzEyIxeJ6nZOYn5+P33//HVu3bq2yBEGHDh3w0EMP4d5773W7H2azGUVFRRAKhQgJCUFYWBgVtiT1yq2wlJSUhISEBACAWq3GsmXLMHLkyGr337x5M2bOnIn8/HzweDycOHECcXFxdT29yyIiIgAAqampte77ww8/YNq0aRg/fjzWrVvH/VW2dOlSPPnkk5gxYwaWLVvm9LmbclgqKCiAr69vg34vSN1QWGo47gamxg5KdjabDZmZmbh69SqMRiPUanW9jkqyLIszZ85g27Zt+OOPPyqtZycWi3HXXXfhoYceQo8ePdwa8SorK4NOp4NCoUBERASCg4NpxJXUC7eLUs6ePRtLlizh/sG3bdsW99xzD6KjoyGTyWAwGJCSkoI//vgDV69eBfu/iXpPPvkkFi9e7JE34SxXwlK/fv1w5MgRpKamOpREYFkW7du3R05ODrRardN/zTTlsJSbm4vOnTvXWvqBND4KSw2rqddZckVxcTGSk5Oh1WqhVCobZCSmpKQEu3fvxtatW/Hvv/9Wej0kJAQPPvgghg8fXuefZSzLQqfTwWQywdfXF5GRkdBoNDQJnHiU22HJZrNh8uTJWLdu3a0Ga/gHaj/VhAkTsHLlyga/1hwREQGTyYQFCxbg5s2bUCqVSEhIQO/evR32MxqNkMlkiIqKwqVLlyq1M2vWLCxbtgwHDhzAHXfc4dS5m2pYslgsKC4uRkJCAnx8fNzuF6lfFJYaXlOs4F1XZrMZ165dQ3p6OhiGgUqlarCfwykpKdi2bRt27NiB4uJih9d4PB769++Phx56CAMGDKhTIUqr1YrCwkLweDwEBQUhIiKi2S/bRJoOt0uj8ng8rFmzBg8++CAWLlyIpBrqivTo0QOvvfYaRo0a5e5p6yw7OxtTp0512JaQkIAff/wR7dq1AwBcvXoVNpsNUVFRVbZh356SkuJ0WGqqjEYjvLy8mvQSH4Q0JnvwaSprw7lDKBQiOjoa3t7eSElJQV5eHng8HmQyGby8vOp1NCYqKgovvfQSnnnmGezbtw/btm3D8ePHAdz6o/vgwYM4ePAgNBoNHnjgAUyYMMGlP+D4fD58fX1hMpmQnp6OvLw8hIWFISQkhOZiErd5rI78mDFjMGbMGKSnp+PYsWPIysqCXq+HQqFAUFAQevfujbCwME+drk6mTp2KO+64A127doVcLkdycjI+++wzrFmzBkOGDMG5c+egUCi4v3qqq2ZtHxm6/a+jikwmk8NyATqdzoPvxHOMRiOCg4NpSQFCauBMYGrqQcmOYRhu0dqCggLk5uaioKAAer0efD4fMpkMYrG43oKTWCzG0KFDMXToUGRmZmL79u3Yvn07cnJyANyaKL5q1Sr88ssvePzxxzFu3DiXwo5YLIa/vz8MBgMuXbqEnJwcREREICAggO6cI3Xm1m/I1atXAwACAwORmJgIAAgLC2v0UFSdt99+2+F5bGws9x7WrFmD5cuXY86cOR4514IFC/DOO+94pK36ZLPZ6PIbIU6oKTA1l6BUkVgsRlBQEIKCglBWVsYFp8LCQuh0OggEAi441Zc2bdpg1qxZeOKJJ3D06FFs27YN+/fv50pkfPnll9i0aROeffZZ3HXXXU4HOIZhIJfLIZVKUVxcjLNnzyIgIAARERHw9vaut/dDWi63YvaUKVMwdepUHDp0yFP9aRQzZ84EABw+fBjA/48oVTdyZB8lqmkdtddffx3FxcXcIyMjw5Nd9ojy8nIIhUJa4oQQJwXFxyO4Z0+Hbc0xKN1OIpGgTZs2iIuLQ+/evdG1a1f4+PigrKyMC1CuFh92BZ/PR//+/fHRRx/h999/x4gRI7hglJmZiVdffRUzZsyocpJ4TXg8Hnx8fKBSqZCdnY2TJ0/i8uXLle7QI6Q2boUl++S5zp07e6QzjcXX1xcAYDAYANy6o4/H4yElJaXK/e3bq5vTBICraVLx0dQYjUZIJBKaBEmIC4Li46Ho0AEsy0LRoUOzD0q3k8lkCA0NRY8ePdCrVy907twZCoUCJSUlyMnJQXFxcb1W+vf19cV//vMfrFu3jitNAwCnTp3CpEmT8Pbbb3OX7JwlFArh5+cHkUiEq1ev4sSJE8jIyOCKaBJSG7fCkv1unOa+RIZ9QV97aQGJRIJevXrh8uXLlSp+syyLP/74AzKZDD1v+wuzuTGZTNBoNHQdnxAXKaKj8Xt2NhTR0Y3dlXrDMAwUCgXCw8PRq1cv9OrVCx07doREIoFer0dubi50Op3HFtC9XXR0NL755ht89tlnDlM7fv/9d4wcORLLli1DWVmZS21KpVL4+/vDbDbj/PnzSEpKQl5eHty8KZy0Am79lrzzzjsBACdOnPBIZ+rTpUuXqly099KlS3j11VcBAI8++ii3fcaMGQBuXU6r+EFatmwZrl27hscee6xZV4xlWRYsy9Z4KZEQQgBwZQbatm2L3r17o2fPnoiKioJIJEJxcTFyc3Oh1+s9PlLDMAwGDhyIjRs34sUXX+RG6E0mE5YvX46RI0fit99+g83m/EqJ9veiVqtRUFCAU6dO4cKFCygpKfFo30nL4ladpVOnTqFXr16QSqX4999/G3ytN1fMmzcPn332GQYOHIjw8HDIZDIkJyfjv//9L8xmM15//XV88MEH3P5VLXdy5coVbN68GRERETh27FizXu7EZDLBaDSid+/ekMlkbveHNAyqs9Q00PfhFqvViqKiIuTn5yMnJwelpaVgWRYSiQRSqdTjo9bFxcVYsWIFfvrpJ4dg1qlTJ7zwwguIr8MlUaPRCJ1OB4lEgrCwMISGhrbKRd5Jzdz6lxwXF4f3338fer0e99xzD86ePeupfnncnXfeifvuuw/JyclYu3YtPv/8cxw7dowLRBWDEnBrYuC2bdswb948aLVafP755zh8+DAef/xxHDlyxCOVsxuT0WiEVCqF1AOL+hJCWic+nw+NRoPo6Gj07dsX8fHxiIiIAMMwyM/Ph1arhcFgcGnkpyYqlQovvvgiNm7ciIEDB3LbL168iBkzZuDll1/GjRs3XGrTy8sLfn5+YBgGly5dwj///IPs7GyP9Zm0DG6NLNlvu9+4cSN27NgBHo+HAQMG4I477kBISIhTl6kmTZpU19M3K01tZCk3NxdRUVFo3769230hnqfX66u8LJCXl4fNmzdj5MiR3I0JFcnlciow2gBoZKlm5eXlKCwsRF5eHvLy8lBaWgoejwepVAqJROKxGk7Hjx/H559/7nAzjlAoxLhx4zBt2jSXPws2mw3FxcWwWq1UaoA4cCss8Xg8h3/09nXfnD45w9Tb5MCmpimFJZvNhvz8fMTHx8Pf39/tvhDP27dvH/bv3+/ycYMGDcLgwYM93yHigMKS80wmEwoKCqDValFQUICysjLw+XxIpVKPVA23Wq3Yvn07lixZgvz8fG67t7c3Zs6ciYcfftjlorvl5eUoLi6GSCRCSEgIwsLC4OXl5VY/SfPmdlhy6+QM02pu3WxKYamsrAwWiwV9+vShHwBNVHUjS7WhkaWGQWGpbsrKylBYWMhVDTcajRAKhZBKpW5XDTcYDFi5ciXWrVvnUBMqMjISzz//PPr37+9ym6WlpdxKFJGRkQgKCgKfz69zH0nz5VYF7x9++MFT/SANyGg0wtvbm4JSE6ZQKCj0kBZHIpFAIpEgODgYBoMBhYWFyMnJQVFRETeSI5PJ6rSWm0wmw+zZszFy5EgsXrwYu3btAgBcv34dzz33HPr27Yvnn3+eWwPUGfbLhjqdDufOnUN2djYiIiKg0WjqdR090vS4NbJEnNeURpZyc3PRqVMnrq4UIcQ1NLLkOSzLwmAwoKCgANnZ2dDpdDCbzVzB3LqGknPnzuGzzz7DuXPnuG08Hg8PP/wwZs2a5fIyTxaLBcXFxWAYBqGhoYiMjKzXpWBI00LVCFsZq9UKHo9HoxaEkCbBvo5bWFgYEhIS0KtXL0RHR4NhGO5uurr8Td+tWzd8//33eP/99xEYGAjg1nzNTZs2YcSIEVi9erVLS7gIBAJoNBpIJBJcu3YNp06dQl5ensv9Is1TncNSZmYmduzYgQ0bNmDHjh0u365JGofRaISXl1eTXH6FENK6MQwDpVKJdu3aoVevXmjXrh2sVityc3NdrtZtb2/o0KH45ZdfMHv2bK5Uin2R3jFjxmDPnj0uhTGJRAI/Pz/odDqcPn0aycnJzX4VC1I7ly/DHT9+HC+88AKOHj1a6bU+ffrg888/R69evTzWwZaiqVyGy8/PR0BAAGJiYtzuAyEtHZVwaHx6vR4ZGRnIysqC2WyGSqWq05wm4Nb3benSpdi2bZtDQIqNjcWcOXNcXue0rKwMOp0OGo0GUVFRUKvVdeoXafpcCku7d+/GiBEjYDKZqk3iYrEYW7duxdChQz3WyZagqYSlnJwcdOvWDaGhoW73gZCWjko4NB1FRUVIS0tDbm4ubDYbVCpVnSttJycnY9GiRTh+/LjD9mHDhmH27NkICAhwui2r1YrCwkIIBAKEh4cjIiLC5VIFpOlzOizp9XpER0c7rPbcvn17+Pv7Izc3F1euXOG2+/v7Izk5mS71VNAUwpLZbIZer0dCQgIVWiPECVTCoWlhWRb5+flIS0tDXl4eeDweVCpVnW7nZ1kWhw4dwqJFixwWTBeLxZg0aRImTZrk0vqfBoMBBoMBfn5+aN++Pf2MbWGcDkvffPMNnn76aTAMgx49emDVqlXo1KkT9/qlS5cwZcoUHD9+HAzD4Msvv8Ts2bPrrePNTVMIS3q9HgKBAH379qVaIYSQZstms0Gr1SItLQ35+fkQiURQKpV1qv1nsVjwyy+/YPny5SguLua2+/n5Yfbs2Rg2bJjT7VqtVhQUFEAkEiEyMhJhYWH0s7aFcPpf1o4dOwAAvr6+2LVrl0NQAoCOHTtix44dXEVo+/6k6TAajVCr1fThJYQ0azweDwEBAejRowe6d+8OiUSCvLw86HQ6l++cEwgEGDduHDZv3ozx48dzPx+1Wi3mzZuHSZMmISkpyam2+Hw+/Pz8wOfzcenSJZw+fRo6nc7l90eaHqfD0tmzZ8EwDCZNmlRtfQofHx9MmjQJLMs61LYgjY9lWbAsS0PDhJAWg8/no02bNkhISEDnzp0hEAiQm5uLkpISl0OTfZHen376CYMGDeK2X7p0yeVFeuVyOdRqNbRaLZKSkpCent5qVqtoqZwOSwUFBQBu3TVQE/tdVhXX6CGNz2w2QyQS0TwKQkiLIxQKER4ejoSEBHTo0AEsy0Kr1aK0tNTltsLDw/Hpp59iyZIliI6O5rbv3bsXo0ePxqJFi5xqVyAQcHdKXrhwAefOnavT/DfSNDgdlgwGAwDU+stWLpcDQJ1qYpD6YzQaIZVKue8PIYS0NF5eXmjXrh0SEhLQtm1bmM1m5Obmwmg0utxWQkIC1qxZg7lz50Kj0QC4Nb9p7dq1GDduHE6cOFFrGwzDQKFQwMfHB1lZWTh58iRu3LgBm83mcn9I46IK3q2EyWSi9YwIIa2CTCZDhw4d0LNnT4SGhqKsrAxardalit3Arct8Dz30EDZv3oxp06Zxy5vcvHkTTz75JD788ENuIKEmQqEQfn5+sNlsOH/+PM6dO+fUcaTpoLDUCtjnK6lUqsbuCiGENBilUokuXbogPj4egYGB0Ov1yMvLg8VicakdmUyGp556Chs3bkR8fDy3/ZdffsG4ceMq1Wuqir06uUqlQmZmJk6ePImbN2/WaSkX0vBcDks0MtH8mEwmiMVimq9ECGl1GIaBWq1GTEwM4uLioNFoUFhYiIKCApcnXYeEhGDp0qV45ZVXuBpMWVlZeOqpp7BgwQKnRotEIhH8/f1hsVhw7tw5XLhwgaatNANO11ni8XhOByV7k7XtzzCMywm/uWrMOktFRUVQKBRISEigsEsIadVsNhtycnKQlpaGwsJC7g9JV2s03bhxA/Pnz8fJkye5bUFBQZg7d67TS36Vl5ejsLAQSqUS7du3R0BAAP2MbqLqFJZqOqTiN7q2phmGaTW3UzZmWMrNzUV0dDTatWvn9nkJIaQlsFgsyM7ORlpaGnQ6HSQSCeRyuUthxWazYdOmTfjyyy8dRodGjhyJZ5991qkbaliWRVFREWw2G0JCQtC2bVt4eXnV6T2R+uNSlLbPfXFmH7oO2zTYbDYwDEPzlQghpAKBQICQkBAkJCSgY8eO4PF4yM3NhcFgcPr3F4/Hw5gxY7Bhwwb07NmT275582aMGzcOx44dq7UNhmHg4+MDuVyO1NRUJCUlITc3l36HNjEuLaRL6q6xRpZKS0thtVrRt29f7k4OQgghjsrKynDjxg1kZmaitLQUSqXSpbXhbDYbNm/ejC+++MJhlOnhhx/Gc88959Qok81mQ1FREQAgNDQUbdu2hUgkcvm9EM+ju+FaOKPRCJVKRUGJEEJqIJFIEBUVhZ49eyIyMhImkwm5ubkwmUxOHc/j8TB69OhKo0xbtmzBuHHjcPToUafaUKvVkEgkuHbtGpKSkpCXl1fn90Q8h0aWGkhjjSzl5uaic+fOCA8Pd/uchBDSWhQXFyMtLQ05OTmw2WxQqVQQCoVOHWsfZfryyy8dqn27OspUWFgIHo+HsLAwREZGOn1+4nk0stSCWSwW8Pl8j4QzQghpTVQqFbp164b4+Hj4+fmhuLgY+fn5Tt3BXXGUKSEhgdu+ZcsWjB071ulRJo1GAy8vL1y5cgWnTp3ilh0jDY9GlhpIY4wslZSUgGEY9OvXDwKBwO1zEkJIa2Sz2aDVapGWloaCggKIRCIolUqn7pxjWZaby1RxlGnEiBF4/vnnnRplslqtKCwshEAgQEREBMLDw+lnegOjkaUWzGg0wsfHhz5UhBDiBh6Ph4CAAPTo0QPdunWDUCh0ej4TwzAYNWoUNmzY4FB/aevWrRg7diyOHDlSaxt8Ph++vr4QCoVITk7G6dOnuYngpGFQWGrBbDYbfHx8GrsbhBDSIvD5fLRp0wY9evRAWFgYSkpKUFBQ4NTCuMHBwfj666/x+uuvQyqVAgBycnLwzDPPYP78+SgpKam1DZlMBo1Gg7y8PCQlJeH69eutplZhY6Ow1EKVl5dDIBDQfCVCCPEwqVSKLl26ICYmBnK5HFqt1qklS+yjTBs3bnQYZdq2bRvGjh2Lv//+u9Y2+Hw+/Pz8wOfzcenSJZw+fRo6nc6t90NqR3OWGkhDz1nS6XQQiUTo27evy2X8CSGEOMdkMiE1NRU3btyAxWKBj48P+Hx+rcexLIstW7Zg0aJFDnOZHnzwQbzwwgtOreVpsVhQWFgILy8vtG3bFm3atHHq3MR19Fu0hTKZTNBoNBSUCCGkHonFYnTo0AFxcXHw8fFBfn6+U5fUGIbByJEjsXHjRvTu3Zvb/uuvv2Ls2LE4fPhwrW0IBAL4+voCAC5cuIBz586hoKCAqn/XAxpZaiANObLEsiy0Wi1iY2MRFBTk9rkIIYTUzmKxICMjA6mpqdwNNs7URmJZFlu3bsWiRYtgMBi47cOHD8ecOXOcGmUym80oKiriJoO3adMGvr6+9Aezh9D/xRaovLycu7WVEEJIwxAIBIiMjESPHj0QGBiIoqIiFBcXO7Wo/MMPP1xplGn79u0YO3YsDh06VOu5hUIh/Pz8IJfLkZubi1OnTuGff/5BVlaWU7WhSM1oZKmBNOTIUnFxMaRSKXr37u3SCtqEEEI8w2az4ebNm7h27RpKSkrg7e3t1LJTLMti27Zt+Pzzz+s8ygTcGmnS6/WwWq1QqVQICQlBQEAArTVXRzSy1AKZTCb4+vpSUCKEkEbC4/EQEhKCnj17cmUGCgsLay0zwDAMRowYgY0bN6Jv377c9u3bt+ORRx5xapQJuDXSpFaroVarUVpaivPnz+PYsWO4du2aU3fuEUc0stRAGmpkyWazIT8/H/Hx8fD393f7PIQQQtzDsixycnJw7do1FBUVQalUQiKROHVcVaNMDzzwAObMmePS7xKbzYaSkhKUlZVBKpUiODgYQUFBTo9UtXYeC0tarRZ79uzB+fPnUVhYCKPRWPvJGQbfffedJ07f5DVUWCorK4PZbEbfvn3h5eXl9nkIIYR4hr3MQEZGBqxWq9NlBrKzs/H+++87VPv28/PDm2++iQEDBrjUB5ZlYTAYYDAY4OXlhcDAQAQHB0OlUtHViBq4HZZKSkrw0ksvYeXKlTCbzS4f31qqjzZUWCosLIS3tzd69uzp9jkIIYR4Xn5+Pq5evYr8/HxIpVKn1ofz5CiTXVlZGfR6PTc5vE2bNlCr1XQHXRXcCktmsxmDBw/G0aNH61TXgWEYCkt1VF1Yys3NRadOnRAREeH2OQghhNQPs9nMlRkoLy+Ht7e3U2UGsrOz8cEHHzhU+/b19cWbb76JO+64o059MZlM0Ol04PF40Gg0aNOmDVclnNziVlj68ssv8fzzz4NhGMhkMsyePRv33HMPQkJCnJr1DwDh4eF1PX2z0hBhyb4ydc+ePaHRaNw+ByGEkPpVXFyMq1evIicnB15eXlAoFLVeDmNZFtu3b8enn37qMMp033334YknnkBYWFid+mI2m6HT6WCz2eDt7Y3Q0FD4+/s7FeJaOrfCUr9+/XD06FF4e3vjyJEj6NChgyf71qI0RFgyGAxgWRb9+vWjf9yEENJMWK1WrsxAaWkpvL29nbrFPycnB++//77DKBPDMOjfvz/GjRtX5/IxVqsVOp0OZrMZCoUCoaGhCAgIaNXzYN0KSz4+PtDpdHj11VfxwQcfeLJfLU5DhKX8/HwEBAQgJibG7fYJIYQ0LIPBgGvXruHmzZvg8/lQqVS1zh9iWRa//fYbPv3000rLrERGRmLs2LG4//77nbr77nY2mw16vR5GoxEymQxt2rRBUFAQZDKZy201d27N4iovLwcAxMbGeqIv9SozMxOLFi1CYmIiwsLCIBKJEBgYiFGjRuHYsWOV9p83bx4Yhqn2kZqa2vBvohZWqxVqtbqxu0EIIaQOZDIZunbtipiYGEgkEmi12lprIjEMg+HDh2Pbtm145plnEBAQwL12/fp1fPjhhxg2bBi++OILZGVludQfHo8HlUrFlaFJTk7G8ePHcfHiRRQXF7v+BpsxgTsHh4SE4MqVKzCZTJ7qT7356quvsHDhQrRr1w6JiYnw8/NDSkoKtm7diq1bt2L9+vUYO3ZspeMmT55c5WRpb2/v+u+0C8xmMwQCAdXMIISQZoxhGAQGBsLb25srM2AwGGotM6BSqTB58mQ89thj2L9/PzZs2IBTp04BAPR6PdasWYN169Zh0KBBGD9+POLi4py+RMcwDORyOWQyGcrKypCamoqbN2863EHX0ssOuBWWEhMTceXKFfzzzz+YOHGip/pUL3r16oV9+/Zh0KBBDtsPHjyIIUOG4Mknn8SIESMqTUyfMmUKBg8e3IA9rRuj0chNDiSEENK8eXl5oWPHjvD19cXVq1eRl5fHBZaaCAQCDBkyBEOGDMGlS5ewYcMG7Nq1C2azGTabDXv37sXevXsRHR2N8ePHIzEx0ekbshiGgVQqhVQqhdFoRGZmJnJycqDRaBASEtKiF+51a85SSkoKYmNjIRQKcenSJQQGBnqybw1m6NCh2L17N06cOMHVJ5o3bx7eeecd7N271yNhqb7nLGm1WoSFhaFz585ut00IIaTpMJvNSE9PR1paGkwmE9RqNQQC58c68vPzsWXLFvz888/Iz893eM3HxwcjR47E6NGjq1xrtDbl5eXQ6XRcWyEhIfD393epf82BWxEwKioKS5cuhcFgwNChQ3H16lVP9atB2e8cq+qbe+DAASxcuBAff/wxtm7dWmkCXVPAsixYlm1ylwYJIYS4TygUol27dtwyVgUFBdDpdE7XN9RoNJg+fTp+++03zJ8/3+GP6sLCQnz33Xd44IEH8J///Afnz593qW8ikQi+vr7w9vZGcXExzpw5g+PHjyM9Pb1ZTNFxllsjS6tXrwYA7NixAxs3boRQKMQDDzyAvn37Oj0cN2nSpLqe3iPS09MRHR0NtVqNjIwM7pqwfWTpdt7e3vjiiy9q7bfJZHL4h6LT6RAaGlovI0vl5eUoLS1Fr1696DIcIYS0YFarFZmZmbh+/To3l8mZMgMVsSyLc+fOYcOGDfjzzz8rFYfu2rUrxo0bh7vvvtvlESKr1Qq9Xo/y8nLIZDKEhIQgMDAQUqnUpXaaGrfCEo/Hc5jUxbKsS5O8GIaBxWKp6+ndZjabcffdd+PAgQNYvXq1w7yrLVu2oKioCIMHD0ZQUBCys7Px22+/4a233kJRURG2bt2KBx98sNq2qwtb9RGWdDodxGIx+vTp02KvFxNCCPl/JSUluHbtGrKyspwuM1CV3Nxc/Pzzz9i8eXOlO9z8/PwwatQojBo1Cj4+Pi61a7PZYDAYUFpaCqlUiqCgIPj7+9e5n43N7bDk1skbcbkTm82GiRMnYv369XjiiSfw7bffOnXcn3/+iXvuuQddu3bF2bNnq92vIUeWtFot2rZti+joaLfbJYQQ0jywLIvs7GxcvXqVmxdb18KRRqMRu3btwoYNG5CSkuLwmkgkwtChQzF+/HiXf8+wLIvS0lKUlJRAKBRCqVQiMDAQGo3GqTXxmgq3wtKqVavc7sDkyZPdbsNVNpsN06ZNw6pVqzBhwgSsWrXKpeAXFRWFK1euuBR86muCt6+vL7RaLeLj4x3qaxBCCGkdjEYjrl+/jhs3bsBisUAmk0Eqldbpdn6WZXHy5Els2LABBw4cgM1mc3g9Pj4e48aNw6BBg1xeO85sNqOkpATl5eXw8vKCj48PAgICoNFonL4jr7G4FZaaI5vNhqlTp2L16tUYP3481qxZ4/I3vG/fvjh69CiysrKcvgOwvsKSQqGAyWRCnz59mv01YUIIIXXDsiwKCwuRm5uLnJwclJaWQiAQQC6XuzynyS4zMxM///xzlTc3BQUF4ZFHHsFDDz3k8u80lmVhMplgMBhgtVohkUjg7+8PPz8/+Pj4NMk76VpVWKoYlMaOHYt169a5HJQMBgOCgoJgs9lQVFTk9De1vsKSUCiEQqFAQkJCiy8KRgghpHZGoxF5eXnIyspCUVERLBYLVx+pLtNnSktL8fvvv2PDhg1IS0tzeM3LywsPPPAAxo4di8jISJfbttlsKCsrg8FgAI/Hg0wmQ2BgIHx9faFSqZrM77VWE5YqXnobM2YM1q9fX23Q0ev1yMrKqnRttqysDI8//jh+/PFHTJ06Fd9//73T56+vsMSyLKKjo9GuXTu32ySEENJysCyLoqIi5ObmIjs72+3RJpvNhmPHjuHHH390WLzXrk+fPhg3bhz69etXp1BmtVphMBhgNBohEAigVCoRFBQEtVrd6POb6iUs5eTkICsrC3q9HgqFAsHBwdzaMo3FfneaXC7Hc889V2VQGjFiBGJjY5Gamoq2bdsiISEBnTp1QmBgIHJycrBnzx7cuHED3bp1w969e6HRaJw+f32EpXPnzoHH46Fnz57w9fV1u01CCCEtk8lk4kabCgsLYbFYIJFIIJPJ6hRsUlNTsXHjRvz222+V1q8LCwvDI488guHDh9d50d3y8nIYDAaYzWaIxWKo1WoEBARArVY3yvwmj4Wl9PR0fPHFF9i8eTPS09MrvR4WFobRo0fj2WefRWhoqCdO6ZIpU6bUOiH9hx9+wJQpU6DT6fDGG2/g+PHjSE1NRWFhISQSCTp16oTRo0fj6aefdnkF5/oIS6dOnYJSqUTfvn2b/OQ4QgghjY9lWRQXF3OjTQaDAXw+H3K5vE6/R0pKSrBt2zb89NNPyMzMdHhNJpPhwQcfxNixYxESElLn/hqNRhgMBthsNkilUvj7+8PX17dB5zd5JCz98MMPePbZZ1FaWgoAVVYVtV93lEql+OqrrzBlyhR3T9us1FdYCgkJQXx8vAd6SAghpDUpLy9Hfn4+srKyUFBQgPLyckil0jqNNlmtVhw8eBAbNmzAP//84/AawzDo378/7rvvPgwcONDlwQY7+/ym0tJSbnFfexmC+p7f5HZY+uGHH/D444+DYRiuKGXHjh0RHR0NuVyOkpISJCcn49KlS1yIYhgG3333XasKTPURls6ePYuuXbsiPDzcAz0khBDSGrEsC51OB61Wi6ysLBgMBi6M1KVu05UrV7Bhwwbs2LGj0pInXl5euOOOOzB06FC3rorY5zeVlZVBKBRCpVJxwamul/5q4lZYysrKQlRUFJfyZs6ciddeew1hYWGV9s3IyMCHH36IZcuWwWazQSaTISUlpdkuvuuq+ghLKSkpiIuLc7myKiGEEFIVs9nsMNpkMpm4uU2u3j1eVFSELVu24JdffkFOTk6l12UyGe68804MHToUCQkJdb6kZp/fZK/fZJ/fpNFo6lw24XZuhaW5c+fi/fffB8MwWL58OaZNm1brMStXrsS0adPAMAzefPNNvPvuu3U9fbNSH2EpIyMDvXr1apI1KQghhDRfLMtCr9dzo00lJSXcaJNYLHbpkpfVasWpU6ewa9cu/PXXX5WWVQFurbs6ZMgQJCYmIi4urk6Tzqub32Sv3+Rq2KvIrbDUq1cvnDx5EomJidixY4fTxw0bNgw7d+5Ez549cfz48bqevlnxdFjKyclBUVEROnTo4IHeEUIIIVWzWCzIz89HdnY28vPzYTQa4eXlBblc7nIAsVgsOHbsGHbv3o19+/bBYDBU2sfPzw933303hg4dii5dutRpLpLNZkNpaSnKysoc5jf5+vpCqVS63KZbYcnX1xeFhYX45ptvMHPmTKePW7ZsGZ588kmo1Wrk5eXV9fTNiqfDEiGEENLQKo426fV6MAwDmUwGLy8vlwOIyWTC33//jd27d+PAgQOV5jcBQJs2bZCYmIjExES0b9++TsHJYrGgtLSUq9+kUqm4+k3Ozm9yKyyJxWJYLBZs2LABY8aMcfq4n3/+GWPHjoVIJILRaKzr6ZsVCkuEEEJaCovFgoKCAmRnZyMvL48bbZLJZHWaGlJaWooDBw5g165dOHLkCCwWS6V9IiMjueBU1xubbq/fpNFoEBAQUOv8abcmu2g0GuTk5OD69esuHZeamgoAUKvV7pyeEEIIIY1AIBDA398f/v7+MBgM3GhTUVERWJaFTCaDRCJxeiRIKpXi3nvvxb333gudToe9e/di9+7dOHHiBLeY7/Xr17Fs2TIsW7YMHTp04IJTUFCQ0/0WiUQQiUTc/CZ7kc7awpJbI0uJiYnYs2cPunTpgjNnzjg1IctqtSIuLg4XLlzAkCFDsHv37rqevlmhkSVCCCEtmdVqRUFBAXJycqDValFWVgaxWAy5XF7nG5Hy8/Px119/Yffu3Th16lSV+3Tv3h2JiYm4++67XV7Nory8HKWlpRgyZEiN+7kVlhYvXoxnn30WDMPgiSeewJIlS2pMkSzL4sknn8S3334LhmHw5ZdfYvbs2XU9fbNCYYkQQkhrUVpairy8PNy8eRPFxcVgWRYSiQQSiaTOd6VlZ2djz5492L17N/79999Kr/N4PPTo0QOJiYm488474e3tXWubDRKWjEYjoqOjuRLn3bt3x0svvYR77rnHYS04rVaL3bt349NPP8WZM2cAACEhIUhOTm41y3RQWCKEENLaWK1WFBYWQqvVcqNNNpsNXl5ekEqldR5xysjIwO7du7F7925cvXq10ut8Ph99+/ZFYmIiBg4cWO1CvA0SlgDgxIkTuOuuu7ilTuwUCgVkMhkMBgP0ej233X4tc9++fejRo4c7p25WKCwRQghpzcxmM4qKirjwZDAYYLVaIRaLIZFI6lxA8sqVK/jjjz+wa9cu3Lhxo9LrYrEY/fv3R2JiIgYMGOBQlbzBwhIAnD17Fo899hguXLjg2Pj/lkCpqFu3bli7di26devm7mmbFQpLhBBCyC1WqxXFxcUoLCxEbm4uSkpKYLFYIBQKIZVKIRKJXC4TwLIsLl68iN27d+OPP/6osmq4VCrFoEGDkJiYiD59+oBl2YYLS/ZO/v7779i8eTOOHTvG1WBQKBQICgpC7969MWrUKAwbNqxeF7trqigsEUIIIZXZbDbo9XouOOn1ephMJgiFQkgkkjrVcLLZbDh79ix27dqFP//8EwUFBZX2USqVGDRoEJ577rmGC0ukZhSWCCGEkJqxLIuSkhIUFRVBq9WiqKgIJpMJPB4PUqkUXl5eLi+FYrFYcPLkSezevRt//fWXw9QgANizZw+FpaaCwhIhhBDimtLSUhQVFSEvLw8FBQVcIeu63llXXl6Oo0ePYvfu3di/fz/KysooLDUlFJYIIYSQujMajSgqKkJBQQF3Z13FkgSu3llnNBqxb98+9OnTx7Nh6dq1a3jppZcAAF26dMH8+fNd6th//vMfrjbCokWLEBYW5tLxzRmFJUIIIcQz7HfW2YNTaWkpLBYLV5JAKBQ61Y6zd8O5FMPefPNNbN26FTKZDO+//74rhwIAHnvsMfTq1QulpaVQKpVYuXKly20QQgghpHUTCoXw8/ODn58f2rVrx91Zp9VqodfrYTabIRKJIJVKPVLP0elZUllZWfj555/BMAyeeeYZdOrUyeWTderUCc899xxYlsX69euRm5vrchuEEEIIIXYCgQAajQbt27dH7969kZCQgM6dO0OhUKCsrAy5ubncfKe6zjxyOixt3LgRNpsNIpGIuxRXFy+++CK8vLxgtVqxcePGOrdDCCGEEFIRj8eDt7c3IiIi0KtXL/Tq1QtdunSBWq2GyWSCVqtFXl4eSktLuQV6nWrX2R0PHToEABg4cCDUarXr7+B/fHx8MHjwYADAgQMH6twOIYQQQkh1GIaBQqFAWFgYevTogd69e6N79+4IDAyE1WpFXl4eCgsLnWrL6TlLp0+fBsMwXNBxxx133IGdO3dy68QRQgghhNQnmUwGmUyGNm3acHfW5eXlwWAw1Hqs02EpLy8PABAcHFz3nv6PvQ2tVut2W4QQQgghrvDy8kJgYCACAwOdmsfk9GW4srIyALeSmbvsbdy++C4hhBBCSENyZikVp8OSj48PgP8fYXJHfn4+AMDb29vttgghhBBC6pPTYcnPzw8AcPHiRbdPai9M6e/v73ZbhBBCCCH1yemwlJCQAJZlsXPnTrdPunPnTjAMg549e7rdFiGEEEJIfXI6LNlLgV+5cgVbtmyp8wk3b96MlJQUhzYJIYQQQpoqp9eGKy0tRUREBPLz8xEQEIBjx44hNDTUpZOlp6ejT58+yM7Ohq+vL1JTUyGVSuvU8eaG1oYjhBBCmienR5akUileeeUVsCyLnJwcDBw4EEeOHHH6REeOHMGgQYOQnZ0NhmHw8ssvt5qgRAghhJDmy+mRJQCw2WwYNmwYdu/eDYZhwDAM7rvvPkyaNAn9+/evVIPp5s2bOHz4MFatWoWdO3dytQzuvvtubt5Sa0EjS4QQQkjz5FJYAoDi4mIMHz4chw4dqhR2xGIxVw6gqKgIJpOJe81+mv79+2P79u2trmwAhSVCCCGkeXL6MpydSqXC3r178dJLL0EkEoFlWe5hNBqRnZ2N7OxsbnVf+0MsFuPFF1/E3r17W11QIoQQQkjz5fLIUkVZWVn4+uuvsWvXLpw6darSCr48Hg9xcXEYOnQonnrqKY8sldJc0cgSIYQQ0jy5FZYqKi0tRXZ2NvLz88GyLDQaDQIDAz2yPEpLQGGJEEIIaZ48FpZIzSgsEUIIIc2Ty3OWCCGEEEJaEwpLhBBCCCE1oLBECCGEEFIDCkuEEEIIITWgsFSLEydOYNiwYfD29oZMJkOfPn3w008/NXa3CCGEENJABI3dgaZs7969GDp0KLy8vDBu3DgoFAps2rQJY8eORUZGBl588cXG7iIhhBBC6hmVDqiGxWJBx44dcePGDRw9ehSxsbEAbi330qtXL6SmpiI5ORnh4eFOtUelAwghhJDmiS7DVeOvv/7C1atX8eijj3JBCbi13Msbb7yB8vJyrFq1qvE6SAghhJAGQWGpGvv27QMAJCYmVnpt6NChAID9+/c3ZJcIIYQQ0ggoLFUjJSUFABAVFVXptcDAQMjlcm4fQgghhLRcNMG7GsXFxQBuXXarilKp5Papislkgslk4p7rdDrPdpAQQgghDYJGlurJggULoFKpuEdoaGhjd4kQQgghdUBhqRr2EaXqRo/sd7dV5/XXX0dxcTH3yMjIqJd+EkIIIaR+UViqhn2uUlXzkrKzs1FSUlLlfCY7sVgMpVLp8CCEEEJI80NhqRqDBg0CAOzevbvSa7t27XLYhxBCCCEtFxWlrIbFYkGHDh2QmZlZbVHKy5cvIyIiwqn2qCglIYQQ0jzR3XDVEAgEWLFiBYYOHYqBAwc6LHeSlpaGTz75xOmgRAghhJDmi0aWanH8+HG8/fbb+Pvvv2E2m9GtWzfMmTMHY8eOdakdGlkihBBCmicKSw2EwhIhhBDSPNEEb0IIIYSQGlBYIoQQQgipAU3wbiD2q5207AkhhBDStCgUCjAMU+3rFJYaSH5+PgDQsieEEEJIE1PbfGIKSw1ErVYDANLT02tcJoWQlk6n0yE0NBQZGRl0swNp1eiz0HQoFIoaX6ew1EB4vFvTw1QqFX0oCAFoGSBC/oc+C00fTfAmhBBCCKkBhSVCCCGEkBpQWGogYrEYb7/9NsRicWN3hZBGRZ8FQm6hz0LzQRW8CSGEEEJqQCNLhBBCCCE1oLBECCGEEFIDCkuEEEIIITWgsFTPTpw4gWHDhsHb2xsymQx9+vTBTz/91NjdIsQta9euxcyZM9GzZ0+IxWIwDIOVK1dWu79Op8OcOXMQHh4OsViMiIgIvPzyyygpKalyf5vNhq+++grdunWDRCKBn58fxo8fj2vXrtXTOyLEdZmZmVi0aBESExMRFhYGkUiEwMBAjBo1CseOHavyGPosNFMsqTd//fUXKxQKWYVCwT7xxBPsnDlz2PDwcBYA+8knnzR29wipM/u/Y19fX+7rH374ocp9S0pK2NjYWBYAm5iYyL766qtsYmIiC4BNSEhgy8rKKh0zffp0FgDbpUsX9pVXXmEnTJjAikQiVq1Ws8nJyfX87ghxzquvvsoCYNu1a8c+/vjj7GuvvcaOGjWK5fP5LI/HYzds2OCwP30Wmi8KS/XEbDaz7dq1Y8ViMXvq1Clue1FRERsdHc2KRCI2NTW18TpIiBv++OMP7t/vggULagxLb731FguAffXVVx2223/RfPDBBw7b//rrLxYAO3DgQNZkMnHb//vf/3K/ZAhpCjZt2sTu27ev0vYDBw6wQqGQ9fHxYY1GI7edPgvNF4WlerJr1y4WADt16tRKr61cuZIFwL7zzjuN0DNCPKumsGSz2djg4GBWLpezJSUlDq+VlJSwcrmcbdu2rcP28ePHswDY/fv3V2pv8ODBLAA2LS3No++BEE+zjxidOHGCZVn6LDR3NGepnuzbtw8AkJiYWOm1oUOHAgD279/fkF0ipMGlpKTg5s2b6N+/P2QymcNrMpkM/fv3x7Vr15CRkcFt37dvH/fa7eizQ5oLoVAIABAIbi3BSp+F5o3CUj1JSUkBAERFRVV6LTAwEHK5nNuHkJaqps9Bxe32/QwGA7KyshAZGQk+n1/r/oQ0Renp6dizZw+CgoLQrVs3APRZaO4oLNWT4uJiAIBKparydaVSye1DSEvlzOeg4n6u7k9IU2M2mzFx4kSYTCYsXLiQCzr0WWjeKCwRQgghHmCz2TBlyhQcOHAATzzxBCZOnNjYXSIeQmGpntj/Gqgu9et0umr/YiCkpXDmc1BxP1f3J6SpsNlsmDZtGtavX48JEyZg6dKlDq/TZ6F5o7BUT2q6npydnY2SkpJqr10T0lLUNq/i9nkcMpkMQUFBuH79OqxWa637E9IU2Gw2TJ06FatWrcL48eOxcuVK8HiOv17ps9C8UViqJ4MGDQIA7N69u9Jru3btctiHkJYqKioKwcHBOHz4MAwGg8NrBoMBhw8fRmRkJEJDQ7ntgwYN4l67nf2zM3DgwPrtOCFOsgel1atXY+zYsVizZk21E7Lps9B8UViqJ0OGDEHbtm2xfv16nD59mtteXFyMDz74ACKRCJMmTWq8DhLSABiGwfTp01FSUoL58+c7vDZ//nyUlJTgiSeecNg+Y8YMAMDcuXNRXl7Obd+xYwf27duHxMREhIeH13/nCamF/dLb6tWrMWbMGKxdu7bKoATQZ6G5Y1iWZRu7Ey3V3r17MXToUHh5eWHcuHFQKBTYtGkT0tLS8Mknn+DFF19s7C4SUicrVqzAoUOHAADnzp1DUlIS+vfvj/bt2wMABgwYgOnTpwO49Vdz//79cebMGSQmJiI+Ph5JSUnYvXs3EhISsH//fkgkEof2n3jiCaxYsQJdunTB/fffj6ysLGzcuBFyuRxHjhxBdHR0w75hQqowb948vPPOO5DL5Xjuuee4mkoVjRgxArGxsQDos9CsNXZVzJbu2LFj7L333ssqlUpWIpGwvXr1qrReECHNzeTJk1kA1T4mT57ssH9RURH7/PPPs6GhoaxQKGTDwsLYF198kdXpdFW2b7Va2S+++ILt0qULKxaLWY1Gw44dO5a9cuVKA7w7QpxT2+cAVVS2p89C80QjS4QQQgghNaA5S4QQQgghNaCwRAghhBBSAwpLhBBCCCE1oLBECCGEEFIDCkuEEEIIITWgsEQIIYQQUgMKS4QQQgghNaCwRAghhBBSAwpLhBBCCCE1oLBECCGEEFIDCkuEEEIIITWgsERIK5OamgqGYcAwDKZMmdLY3SH17ODBg2AYBnw+H2fOnGns7tSL//73v2AYBmKxGMnJyY3dHdICCRq7A4SQqjEMU+V2oVAIpVIJpVKJNm3aIC4uDj169MDw4cOhVqsbuJeVFRUVYdGiRQCA2NhYjBgxolH705pZrVbMnj0bADBx4kTExMQ0co/qx7BhwzB48GDs27cPzz77LHbu3NnYXSItDMOyLNvYnSCEVFZdWKqOWCzGyJEj8d5776Ft27bV7peamorIyEgAwOTJk7Fy5Up3utng7RPnff/993j88cfB4/Fw6dIlREVFNXaX6s1ff/2FIUOGAAD27NnDfU2IJ1BYIqSJqhiWtmzZwn3Nsiz0ej2Kiopw/vx5/P3337hw4QL3ukwmw5dffolp06Y1aH/tKCw1DWazGe3bt0d6ejpGjx6Nn3/+ubG7VO8SEhLwzz//oE+fPjhy5Ehjd4e0IHQZjpBmoLZLWUePHsVrr72G/fv3w2AwYPr06ZBKpRg3blzDdJA0ORs3bkR6ejoA4Mknn2zk3jSMWbNmYfr06Th69CgOHz6M/v37N3aXyP+1d/dBUVVvHMC/sMKuwCJoKiOsaKkgb0EqrthvwER8TYVxsTTxbTTHzNI/ssgBJXUszWxEZjLN1gmd0FDUUKCEkfEVJEMEMQErBEEwhBZ2Bfb+/mA4Xdzde3dBo7bnM7Mzu3ufe+65F8d95pznnmslqMCbECugVCrx448/YuXKlQA6Rp+WLl2K33//vZd7RnrL3r17AQAKhQKTJk0yGafT6WBnZwcbGxuEhYWJtqtUKmFjYwO5XI5/2sREdHQ0ZDIZACAxMbGXe0OsCSVLhFgJiUSCxMREjBs3DgCg1Wqxbds2gzhz7obT6/U4fPgw5s6dC09PT/Tt2xcymQzu7u548cUXoVKpkJSUhPr6eoN2O6fgAECtVrNj8V85OTldjqfVapGWloa1a9ciJCQEAwcOhJ2dHeRyOUaOHIlFixYhKytL9Brk5OSwY2zatAkAUFVVhdjYWPj6+sLJyQnOzs4ICgpCQkICmpqaRNsEOhKK/fv3IyoqCsOGDYOjoyOkUikUCgVmzJiBnTt3oqqqSrANrVaLL774ArNmzYJCoYBMJkO/fv3g5+eHtWvXPtW7uEpLS3H58mUAQFRUlGD9W3FxMdra2gB0FOQL0ev1uHHjBgAgICDAoF1j1//OnTt455134OXlBUdHR7i5uSEiIgKZmZkG7V+8eBELFizACy+8AJlMhsGDB0OlUpl9F59cLkdERAQA4MSJE3j06JFZ+xEiiiOE/CMBYC9LnDx5ku3n6OjIPX78uMv2iooKtn3x4sUG+9fV1XFKpbLL8U29duzYYbRdsVd2dnaXYw4fPtys/ebMmcM1NTWZPPfs7GwWGx8fz2VkZHD9+/c32d6oUaO4yspKwet57tw5zt3dXbRvgYGBJtvIyckRbUMikXDbtm0T7Iu5tm3bxtpNTU0VjP36669Z7MGDBwVjb926xWJXrVplsP3J65+amso5OTmZPOctW7ZwHMdxer2ei4uLMxlnZ2fHnTx50qxz37VrF9vvyJEjZu1DiBiqWSLEysyaNQsuLi5oaGiARqNBXl4eQkJCzN5/xYoVbFRCoVDgtddew8iRI+Hq6gqNRoNffvkFly5dQm5ubpf9Bg0ahOPHj6O2thZvvvkmAGDSpElYu3atwTH8/Py6fG5uboaLiwteeeUVBAUFwdPTEw4ODmhsbERhYSG+/fZbVFdXIy0tDcuWLUNKSoroeVy/fh07d+5Ea2srlixZgpdffhlyuRylpaVISkrC/fv3cfv2bSxdutToKAfQMTqhUqnYyMuoUaOgUqng5eUFqVSK6upqXL16Fd9//73JKakzZ85gzpw5aG1tha2tLaZNm4bw8HC4u7tDq9UiPz8fhw4dwqNHjxAbGwsA+OCDD0TPT0hGRgZ7r1QqBWMLCwvZe7GRJf4Ij9gyBAUFBfj4448hkUiwZs0aBAcHQyKRICcnBwcPHkRbWxs2btyIiRMnoqCgAAkJCfD09MSSJUvg7e0NjUaDlJQUZGZmsr9haWkpnnvuOcHj8s/37NmzVLdHno7eztYIIcahmyNLHMdxU6dOZfvu3r27yzahkaWamhrO1taWA8CFhIRwLS0tJo9RW1vLFRcXG3wvNnJlTHp6usEIGJ9Go+Hmzp3L2s3NzTUaxx/ZAMANGTKEKyoqMoirrq7mPDw8WNy1a9cMYu7evcvJ5XIWs3nzZq6trc3ocVtaWrjTp08bfF9VVcVGtgYNGsRdunTJ6P6VlZWcn58fG2EqKSkxeS3EtLW1cY6OjhwATqFQiMaHh4ez0RudTicYGxsby67HxYsXDbY/ef2HDRvGlZeXG8Sp1WoW4+fnx0mlUm7mzJlcc3OzQWxMTAyL/eSTT0TPR6vVcvb29hwAzsvLSzSeEHNQzRIhVsjT05O9f/Dggdn7lZeXQ6/XAwAWLlzIimWNGThwIEaPHt39TvJMnz4ddnZ2Jrc7ODhArVbD0dERQEctlDm++eYb+Pr6Gnzv5uaGDz/8kH0+c+aMQcz27dtZTdPq1asRFxcHiURi9DgymQwzZ840+H7Hjh14+PAhAODYsWMmR3nc3d1x9OhRSCQStLe34/PPPxc/ORMqKiqg0WgAAN7e3qLxnSNLo0ePhr29vWDs9evXAXQsa+Hv7y/adnJycpcatk4xMTFszaeioiL069cPhw8fRt++fQ1it2zZwmqjzFlsUiqVsnXGbt++Da1WK7oPIWIoWSLECrm6urL3/CJsMZ3JCABcu3btqfapp5ydndkPdOc0oZDAwEDBu8CmTJnC3hcVFXXZ1t7ejsOHDwPo+PHtLFa2BMdxOHToEABgwoQJ+N///icY7+3tjeDgYABdp9EsdffuXfZebEX3mpoa1NbWAhCfggP+moZ7/vnn4eTkJBj70ksvCU7/8m/rj4mJgbOzs9E4hULBkv/i4mLRPgJ/nTfHcWz5BEJ6gmqWCLFCHK9+xpKVwH18fODu7o579+7hq6++Qnt7O1asWAGlUmlyVOVp+eOPP5CcnIyzZ8+iqKgI9fX10Gg0RmuBKisrRdubMGGC4HYPD48ux+YrLCxEY2MjALC78yxVXFzMElVXV1ecOHFCdJ/Oa1xRUQGtVis4smdK50gWAAwYMEAwll+vJFaDVF9fj3v37pkVC4jXSrm5ubH3nUmiUOzdu3cN/k6m8M+bfz0I6S5KlgixQvwfFbEfTD6JRIJ9+/YhKioKOp0OarUaarUazs7OGD9+PCZOnIjw8HCEhIRY/DgWIWlpaVi+fLnZo2CdiYwQsUJgqVTK3j85VcNPxnx8fMzq05P4Izzp6elIT0+3aP+HDx9iyJAhFh9Xp9Ox93K5XDDWkuLuzik4oGPZADFi/+7419/cWP65CeGPUrW0tJi1DyFCKFkixArxf6gtHRWZMWMG8vPzsXnzZpw8eRKPHz9GY2MjsrKykJWVhU2bNmH48OFISEjAG2+80eO+Xrp0CfPmzWN3nAUEBCA8PBwjRoyAq6srpFIpS8w2btyImzdvsroqIba23a8y4CdjYtNNpjQ0NHT7+ADw+PHjbu3HT0LEkspndSccYNn178nfyhj++krG6qAIsRQlS4RYGb1ejytXrrDP48ePt7gNPz8/HD16FBqNBhcuXMDly5eRm5uL3Nxc6HQ6VFRUYNGiRSgrK0N8fHyP+hsXF8cSpb1792L16tUmY7du3dqjY5mLPzLx559/dqsNfpK1fv16fPrppz3ulzksmYLqTJY8PDxE65v4NWzmjCz1Jv4Ipdh5EWIOKvAmxMqcOnWKjSg4OTlhzJgx3W7L0dERERERiIuLQ1ZWFh48eICPPvqIbd+6dSvu37/f7fZbW1vZat5jxowRTJSAriNmzxK/nsncomKhNv7Ox87w7z4TSpba2tpQUlICAKJ3Ner1evZ3ksvlRu9w+yfpPG8bG5sud4YS0l2ULBFiRVpbW7Flyxb2ecmSJejT5+kNIMvlcmzcuBFz5sxhx3vyzjT+lIqx4my+uro6Nqo0YsQIwdi8vDzU1dV1p9sWCwgIQL9+/QB0PILDkuUXOgUGBrI2srOzza636alhw4axWqXOZMiY27dvsz7x74I05uzZs+xxLsYec/JPotVqUVFRAQBs8VBCeoqSJUKsRHt7O9asWYP8/HwAHbUa77///jM5Fn9koTPZ6cSffupc78cU/o/0nTt3BGN7Ot1nCYlEgoULFwLoKCruztIB/Dbq6uqwa9eup9lFk2xtbdnzASsrK00+s45frySUVDU3N+O9995jn//pU3AFBQWs3kvsjjxCzEXJEiFW4OrVq5g8eTL27dsHoGP6Qa1Ww93d3aJ2MjIy8Nlnnwneol1bW4vvvvuOfX6y2Ld///5sROX69euCo0vOzs4YNWoUgI6amGPHjhnEtLe3Y926dUYXjnyWNmzYwGqXkpKSkJCQgPb2dqOxOp3OaP9iY2Ph4uICoKM4fffu3YLF6RqNBvv378eRI0d61Pdp06ax9/z6NT5+slRaWorExESDmKqqKsyaNQs3b95k3w0dOrRHfXvW+COdU6dO7cWeEGtCBd6E/As8uUZPU1MTGhoacPPmTVy4cKHLoopOTk5ITEyESqWy+DjV1dVYv349NmzYgLCwMCiVSrYAYX19PQoLC3HkyBGWTEVHR7OVmPkmT56M1NRUlJWVITo6GlFRUXBxcWHTN8HBwazw9t1332W1StHR0Zg/fz5CQ0Ph6uqKO3fuIDk5GSUlJfDz84NUKv3bFsscOnQo1Go1ezZcfHw8kpOToVKp4O3tDXt7e9TU1CA/Px+nT5+GQqHA9OnTu7Th7u6OlJQUvPrqq9DpdFi3bh2SkpIQGRkJHx8fODk5oampCRUVFcjPz8e5c+eg1Wq71IV1R2RkJBsNOnfuHCIjIw1iOpMlqVQKW1tbvP3220hOTsa4cePQt29f3Lp1C5mZmdBqtWztLQA4cOAAysrKsHDhQoSFhfWon8/C+fPnAXSsqv7k34OQbuvNZ60QQkyDyFPun3zJZDLu9ddfN/osLj6hZ7fxn0Av9po3bx6n0WiMHuPnn3/mHBwcTO6bnZ3NYvV6Pbds2TLBY/n7+3Pl5eVcaGio4PPynnzqvbnXODQ01GRMZmYm5+bmJno9goKCTLaRl5fHeXl5mXVdJRIJ9+WXX4r2XUxISAgHgBs4cKDR5+4pFArW782bN5vsz8qVK7kDBw4YfF9ZWWnQpiXXPz4+3ui/B2PE/u6dmpqaOJlMxgHg5s+fLxhLiCVoZImQf5k+ffpALpfD2dkZHh4eCAoKwtixYzF79uwujznpjpiYGPj4+OCHH37AlStXUFJSgqqqKrS0tMDBwQFDhw6FUqnEokWLEBoaarKdgIAA/PTTT9i1axfOnz+P3377Dc3NzUan5GxsbHDgwAHMnDkT+/btQ35+PhobGzFgwAB4eXlBpVJh+fLl3VrN+mmYMmUKysvLcfDgQZw6dQqFhYWoq6uDjY0NBg8eDH9/f0yZMgULFiww2cbYsWNRXFyM1NRUpKWl4cqVK6ipqYFGo4GTkxMUCgX8/f0RFhaG2bNnd1ndurveeustVpx+5swZzJ49m21raGhgd+j5+voiLi4OCoUCe/bswa1bt+Dg4IDAwECsWrUK8+bNg1arxenTp5GRkQGFQoEFCxZYPMX7d0hJSWELjK5Zs6aXe0OsiQ1n7H8vQggh/2ptbW0YMWIEfv31V0RGRiI1NZVtO3/+PEt2t2/fjg0bNvRWN5+q4OBg5OXlYfz48WY9P5AQc1GBNyGEWKE+ffogLi4OQMfjZPh1bfzibj8/v7+9b89CdnY28vLyAKDL8hmEPA2ULBFCiJVavHgx/P39odfrWeIEdE2WfH19e6NrT11nUXxERATCw8N7uTfE2lCyRAghVkoikWDv3r0AgOPHj6OgoADAX8mSXC63ihWu09PTkZ2dDXt7e+zZs6e3u0OsENUsEULIfwjHcZDL5dBoNFTbQ4iZaGSJEEL+Q8rKytjK6tYyBUfIs0bJEiGE/IfcuHGDvbeW4m5CnjWahiOEEEIIEUAjS4QQQgghAihZIoQQQggRQMkSIYQQQogASpYIIYQQQgRQskQIIYQQIoCSJUIIIYQQAZQsEUIIIYQIoGSJEEIIIUQAJUuEEEIIIQIoWSKEEEIIEUDJEiGEEEKIgP8Duc5g95p91mcAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np1/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 1449 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np1/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_dSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np2/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 7.6866926310176495 s\n", - "f1 = 0.3005, mu2 = 0.3597\n", - " fun: 27.599140713952963\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 483\n", - " nit: 23\n", - " success: True\n", - " x: array([0.30054639, 0.35968556])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_dSPN_np2/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007606290164403617 seconds\n", - "Created connection matrix 0.004946693021338433 seconds\n", - "Created gap junction connection matrix 0.00035029297578148544 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 4690, at 0\n", - "Created distance histogram (optimised) in 0.0042412309849169105 seconds\n", - "Saving cache to networks/FS_to_dSPN_np2/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to dSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.8624229979466119\n", - "P(d<0.00015) = 0.7424242424242424\n", - "P(d<0.00025) = 0.4471299093655589\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np2/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 1453 connections\n" - ] - }, - { - "data": { - "image/png": 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VV1+pjXxlOHLkCIYMGQIgffJ+bi5cuIAePXrA3d0dv/zyS67rXsXHx2Ps2LFYsWKF/JqVlVWebkljKO+++65awvfw4UMDRkNU9HBBTqIC9urVK/j5+cHPzw/lypVD8+bN4e7uDltbW1haWuLFixe4ffs2goKCstxKxdnZGUuWLNFbLMOHD8dXX30FIH3ldHt7ezg7O6vdDqVx48b4448/1OqtWLECISEhiIqKApB+I+P9+/dj4MCBqFmzpryo6I4dO9QSrAkTJqBjx456i/+nn37CyZMn5QRwwYIF2L59OwYMGAAnJyfExcXhyJEjOHjwIIQQ8PDwQFpaGv755x+t2g8LC8O4ceMwYcIENGzYEM2bN4ejoyPKly+PtLQ0ee6Xv7+/2rIKRkZG+OWXX2Bra6u395qf5s2bhwMHDnAJBCJdCCLK0dq1awUA+REQEKBzW69fvxampqZq7eXl0bRpUxEZGam/NyeESElJEe3bt9fYr4eHR7Z1o6KiRK1atbSO/9NPPxVpaWl6jV8IIc6cOSPKli2ba/8uLi4iOjpaeHh4yK/NnDkz2zZ9fHx0Pk5ly5YVf/31l8aY9fm9yiwgIECt3VOnTmldd9CgQVnei4mJiV7iInqb8dQeUQExNjZGbGwsNm/ejKFDh2q8sXEGSZLg4eGB9evX49SpU1nmNSlVqlQpHDp0CBs3bkSvXr3g7OyMMmXKaLyRcgZHR0ecO3cOs2bN0rjqdqNGjXDw4EEsX75cq3bzqlGjRrh48SJ69uyZ7Wk7U1NTeHt747///tP6lOiqVasQEhKCL7/8Ek2aNEGJErkP3js6OmLatGm4du1altXoi4K5c+dq9T6JSJ0kBMdyiQzl/v37uHbtGm7fvo24uDgkJyer3WOtYcOGOd4ctzBRqVQICQnBtWvXEBsbCxMTE9jb26Nly5Z6T/40uXfvHgIDA3Hv3j2ULl0aDg4O8PDwULwA6PPnz3H16lXcvHkTMTExSEpKQokSJWBpaYlKlSqhQYMGcHZ21s+bIKIihYkUERERkY54ao+IiIhIR0ykiIiIiHTERIqIiIhIR0ykiIiIiHTERIqIiIhIR0ykiIiIiHTERIqIiIhIR0ykiIiIiHTERIqIiIhIR0ykiIiIiHTERIqIiIhIR0ykiIiIiHTERIqIiIhIR0ykiIiIiHTERIqIiIhIR0ykiIiIiHTERIqIiIhIR0ykiIiIiHTERIqIiIhIR0ykiIiIiHTERIqIiIhIR0ykiIiIiHTERIqIiIhIR0ykiIiIiHTERIroLSeEwKhRo1CuXDlIkoRz584ZOiQiorcGEymit5y/vz98fX2xd+9ePHjwAHXr1kVQUBDef/99VKpUCZIkYefOnQUSS2BgINzd3WFiYoIaNWrA19dXY/nr16+jXbt2sLOzg6mpKapVq4avv/4ar169Uiu3detW1K5dG6ampqhXrx7279+vtl8IgRkzZqBixYooXbo0OnbsiJs3b6qVcXZ2hiRJao+FCxfq5X0rFRgYiJ49e6JixYooU6YMGjZsiI0bN+Z7v3fu3IGnpyfMzMxga2uLKVOm4PXr1xrr9OjRA46OjjA1NUXFihUxdOhQ3L9/X94fGRmZ5XOWJAkhISFymVevXmHOnDmoXr06TE1N0aBBA/j7+6v1k93xkiQJ48aN0++HQJQLJlJEb7lbt26hYsWKaNmyJezt7VGiRAk8f/4cDRo0wM8//1xgcURERMDT0xPt2rXDuXPnMHHiRIwcORIHDx7MsU7JkiXh5eWFQ4cO4fr16/jhhx/w+++/Y+bMmXKZkydP4oMPPsBHH32EsLAw9OrVC7169cKlS5fkMt999x2WL1+OlStX4t9//0WZMmXQpUsXJCcnq/U3Z84cPHjwQH58+umn+v8gdHDy5EnUr18f27Ztw4ULFzBixAh4eXlh7969+danSqWCp6cnUlNTcfLkSaxbtw6+vr6YMWOGxnrt2rXDli1bcP36dWzbtg23bt1Cv379spQ7cuSI2mfdqFEjed/XX3+NVatW4aeffsKVK1cwZswY9O7dG2FhYXKZ06dPq9U/fPgwAKB///56+gSItCSI6K01bNgwAUB+ODk5ZSkDQOzYsSPfY/niiy+Em5ub2msDBw4UXbp0yVM7n332mXj33Xfl5wMGDBCenp5qZZo1ayZGjx4thBAiLS1N2Nvbi8WLF8v74+LihImJifDz85Nfc3JyEsuWLctTLG8aNmyY6Nmzp5g3b56wtbUVVlZWYvbs2eLVq1di8uTJwtraWlSuXFmsWbNGrhMQECAAiGfPnsmvhYWFCQAiIiIix766desmRowYoSheTfbv3y+MjIzEw4cP5dd+/fVXYWlpKVJSUrRuZ9euXUKSJJGamiqEECIiIkIAEGFhYTnWqVixolixYoXaa3369BFDhgzJsc6ECRNE9erVRVpamtaxEekDR6SI3mI//vgj5syZgypVquDBgwc4ffq0zm39888/MDc31/jQdLrp1KlT6Nixo9prXbp0walTp7SOITw8HP7+/vDw8NC63YiICDx8+FCtjJWVFZo1a5al74ULF6J8+fJ45513sHjx4lxPY2Xn2LFjuH//PoKCgrB06VLMnDkT3bt3h7W1Nf7991+MGTMGo0ePxt27d/Pcdmbx8fEoV66cxjK5Ha8xY8bkWPfUqVOoV68e7Ozs5Ne6dOmChIQEXL58WasYnz59io0bN6Jly5YoWbKk2r4ePXrA1tYW7777Lnbv3q22LyUlBaampmqvlS5dGidOnMi2n9TUVGzYsAHe3t6QJEmr2Ij0pYSSyi1btsSYMWMwYMCALF96IjI8KysrWFhYwNjYGPb29oraaty4ca4T1TP/0X3Tw4cPs+y3s7NDQkICXr58idKlS+dYt2XLlggNDUVKSgpGjRqFOXPm5Nruw4cP5f3ZxZa5DACMHz8e7u7uKFeuHE6ePIlp06bhwYMHWLp0qcb3/KZy5cph+fLlMDIygouLC7777ju8ePECX331FQBg2rRpWLhwIU6cOIFBgwblqe0MW7ZswenTp7Fq1SqN5XI7XpaWljnuy+lzzdinyZdffokVK1bgxYsXaN68udopSHNzcyxZsgStWrWCkZERtm3bhl69emHnzp3o0aMHgPSEbenSpWjTpg2qV6+Oo0ePYvv27VCpVNn2t3PnTsTFxWH48OEa4yLKD4oSqZCQEPz777+YOHEivLy8MGrUKLi6uuorNiIqREqXLo0aNWoYpO/NmzcjMTER58+fx5QpU/D999/jiy++0Gsfn3/+ubxdv359lCpVCqNHj8aCBQtgYmKidTtubm4wMvrfYL+dnR3q1q0rPzc2Nkb58uURExOjU5wBAQEYMWIEfv/9d7i5uWksa6jjNWXKFHz00UeIiorC7Nmz5flckiTBxsZG7bNu0qQJ7t+/j8WLF8uJ1I8//ggfHx/Url0bkiShevXqGDFiBNasWZNtf6tXr8Z7772HSpUqFcj7I8pM8ak9IQTi4uLw008/oV69emjdujU2btyI1NRUfcRHRIWE0lN79vb2ePTokdprjx49gqWlpcbRKABwcHCAq6srPvjgAyxcuBCzZs2SRydyajdjBC7jv5rKZKdZs2Z4/fo1IiMjNcb2pjdPYUmSlO1raWlpACAnXUIIef+bVyVmOH78ON5//30sW7YMXl5eucai5NReTp9rxj5NbGxsUKtWLXTq1AmbNm3C/v371a7Ke1OzZs0QHh4uP69QoQJ27tyJ58+fIyoqCteuXYO5uTmqVauWpW5UVBSOHDmCkSNHaoyJKL8oGpG6ffs2fvvtN/j6+spDvSdPnsTJkycxYcIEDBs2TP5XBREVbUpP7bVo0SLLsgSHDx9GixYt8hRHWloaXr16hbS0NBgbG6NFixY4evQoJk6cmG27VatWhb29PY4ePYqGDRsCABISEvDvv/9i7NixOfZz7tw5GBkZwdbWNk/x5VWFChUAAA8ePIC1tbXc95sCAwPRvXt3LFq0CKNGjdKqbSWn9lq0aIF58+YhJiZG/gwOHz4MS0vLPJ15yEgYU1JSNMZZsWLFLK+bmpqicuXKePXqFbZt24YBAwZkKbN27VrY2trC09NT65iI9EofM9ZfvXol/v77b9G5c2dhZGQkJEkSkiQJIyMjYWRkJDw8PISfn5981QYRFZxly5ZluVovMTFRhIWFyVeHLV26VISFhYmoqKh8i+P27dvCzMxMTJkyRVy9elX8/PPPwtjYWPj7+8tlfvrpJ9G+fXv5+YYNG8TmzZvFlStXxK1bt8TmzZtFpUqV1K7eCg4OFiVKlBDff/+9uHr1qpg5c6YoWbKkuHjxolxm4cKFomzZsmLXrl3iwoULomfPnqJq1ari5cuXQgghTp48KZYtWybOnTsnbt26JTZs2CAqVKggvLy88vQeM67ay8zDw0NMmDBB7bXMVwimpqYKBwcH0b9/f3Hjxg2xd+9e4eLionbV3rFjx4SZmZmYNm2aePDggfx48uRJnuLLi9evX4u6deuKzp07i3Pnzgl/f39RoUIFMW3aNLnMv//+K1xcXMTdu3eFEEKEhISIn376SYSFhYnIyEhx9OhR0bJlS1G9enWRnJwshBDC19dX/PXXX+Lq1avi6tWrYt68ecLIyEjtSsaQkBCxbds2cevWLREUFCTat28vqlatqnZloxBCqFQq4ejoKL788st8+xyIcqP35Q9u374tpk6dKuzt7bMkVBUqVBBTpkwRN27c0He3RJSD7BKpjEvu33wMGzYsX2MJCAgQDRs2FKVKlRLVqlUTa9euVds/c+ZMtVg3bdok3N3dhbm5uShTpoxwdXUV8+fPlxOgDFu2bBG1atUSpUqVEm5ubmLfvn1q+9PS0sQ333wj7OzshImJiejQoYO4fv26vP/s2bOiWbNmwsrKSpiamoo6deqI+fPny3/8MwDIEnNmuiRSQghx4sQJUa9ePWFqaipat24ttm7dqpZIvbmMRcbDw8Mjx1j0ITIyUrz33nuidOnSwsbGRkyaNEm8evVK3p/xPcqI88KFC6Jdu3aiXLlywsTERDg7O4sxY8bIiZYQ6YlUnTp1hJmZmbC0tBRNmzYVW7duVes3MDBQ1KlTR5iYmIjy5cuLoUOHinv37mWJ7+DBgwKA2rEkKmiSEJlOzOvR69evsXPnTvz+++84cuSIfP4/49LUtm3byouslSih6AwjEVG+i4iIQK1atXDlyhXUrFnT0OEQUSGRb4lUZrdv38Yff/yBtWvXypMVMxKqChUq4KOPPsLYsWNRpUqV/A6FiEgnP//8M65cuVKgq8ETUeFXIIkUAAQFBeHnn3/G1q1b5SQq8yhVyZIlMXr0aMybNw/m5uYFERIRERGRIvmaSD179gzr1q3Db7/9huvXrwP4X/JUrVo1dOjQATt37kRsbGx6MJIEFxcXBAcHy1evEBERERVW+XKLmKCgIHz44YeoXLkyJk2ahOvXr0MIAUmS8P7772P//v24efMmVq1ahbt372Ljxo2oU6cOhBC4fv065s+fnx9hEREREemV3kaknj59Ko8+3bhxA8D/Rp/s7Ozw0UcfYdSoUXB0dMy2fmpqKtq3b4+TJ0+iZs2a8ggWERERUWGl+HK548eP47fffsOOHTvkBdcyEqg2bdpg7Nix6Nu3b65X5mXcjuHkyZOIiopSGlaRJ4RAYmIiLCwseBNOIiKiQkpRIlW7dm3cvHkTwP+SJ0tLSwwdOhRjx47N8333MlbPzen2CMVJYmIirKysEB8fr3H1YSIiIjIcRYlUxik8AGjQoAE+/vhjDBkyBGZmZjq1V65cObRp04YjMERERFQkKJojZWpqioEDB2Ls2LFo3ry5PuMq9hISEjgiRUREVMgpGpG6f/8+ypUrp69YiIiIiIoURYlUUlISkpKSYGtrC1NTU63rpaSkyCuc53QVHxEREVFhp2gdKWdnZ1SrVg2HDh3KU73AwEC5LhEREVFRpXhBTiXLUBXQ3WmIiIiI8kW+rGxOREREVBwYJJFKTEwEAJ2XSSAiIiIqDAySSB05cgQAULFiRUN0T0RERKQXWl+1d/z4cRw/fjzbfZs2bcK5c+c01hdC4Pnz5wgNDUVAQAAkSULLli3zFCwRERFRYaJ1IhUYGIg5c+ZkeV0Igc2bN+epUyEESpYsifHjx+epHhEREVFhkqd1pHK6yi6vV9+5u7tj/vz5cHd3z1M9KpxMnAfovc2UyC16b5OIiEjftE6khg8fjrZt28rPhRBo3749JEnC3Llz0apVK431jYyMYG5ujqpVq6Js2bK6xktERERUaGidSDk5OcHJySnbfXXr1oWHh4fegiIiIiIqChTdIiYgIABAeiJFREREVNwoSqQ4CkVERETFGVc2JyIiItIREykiIiIiHWl1as/Y2BgAIEkSXr9+neV1Xb3ZHhEREVFRolUipa/1o4iIiIjeJlolUm3atIEkSVq/TkRERFQcaJVIBQYG5ul1IiIiouKAk82JiIiIdMREioiIiEhHTKSIiIiIdJTvidTDhw8xYcIEuLu7o379+hg2bBguXryY390SERER5TtFidQ///wDS0tLWFlZ4cSJE1n2P3z4EE2aNMGKFStw/vx5XL58GRs2bECTJk1w6NAhJV0TERERGZyiRGrnzp1ISkqCtbU13n333Sz7J0+ejHv37kEIofZITU3Fhx9+iPj4eCXdExERERmUokTqzJkzkCQJnTp1yrLvyZMn2LJlCyRJQv369REWFoa4uDjMmzdP3r927Vol3RMREREZlKJE6sGDBwCABg0aZNm3b98++fYvf/zxBxo0aABLS0tMmzYNrVq1AgDs379fSfdEREREBqUokXry5AkAwNbWNsu+oKAgAEC1atXQuHFjtX09evSAEAKXL19W0j0RERGRQSlKpBITEwEAaWlpWfadPHkSkiShXbt2WfZVrlwZAPD06VMl3RMREREZlKJEytzcHAAQExOj9npMTAyuXbsGAGjZsmWWesbGxgB402MiIiIq2hQlUjVq1AAAHD58WO31nTt3ytsZ86Eyi42NBQBYW1sr6Z6IiIjIoBQlUu3atYMQAgcPHpQnjt+5cwcLFiwAAFSvXh01a9bMUu/ChQsA0udPERERERVVihKp0aNHw8TEBCqVCu+//z7s7e1RvXp13LlzB5Ik4ZNPPsm23uHDhyFJEt555x0l3RMREREZlKJEqlq1avj5559hZGQEIQRiYmKgUqkghECHDh0wbty4LHVOnTqFqKgoAEDr1q2VdE9ERERkUCWUNuDt7Q13d3esXr0a4eHhKFOmDDp37gxvb295Unlmf//9N5ycnCBJErp06aK0eyIiIiKDkQQvnSuUEhISYGVlhfj4eFhaWho6HI1MnAfovc2UyC16b5OIiEjfFJ3aIyIiIirOmEgRERER6YiJFBEREZGOFE82BwCVSoU9e/bgwIEDuHTpEp49e4bk5ORc60mShFu3bukjBADA7t278eeff+L06dN4+PAhLC0tUaNGDfTu3RujR4/W21yj06dP47///sPp06dx+fJlxMbG4vHjx3j16hXKli2LOnXqoF27dhg+fDicnJz00icREREVPoonm1+5cgUDBw7ElStX1F7XpllJkqBSqZR0DwBISkrCkCFDsHv37hzLODg4YMuWLWjevLni/szNzfH8+fNcy5mYmGDmzJmYNm1anvvgZHNONiciosJP0YhUbGwsOnTogJiYGDlxKlGiBGxsbGBiYqKXAHOjUqnQv39/+Pv7AwDs7Ozg4+MDV1dXPH36FH5+fggODkZ0dDS6deuG4OBg1KlTR3G/tra2aNq0KRo0aICqVavCysoKr169QmRkJPbt24fg4GCkpKTgq6++wqtXrzBjxgzFfRIREVHhomhE6osvvsD3338PSZLQoEEDLFiwAO3atUOpUqX0GaNGq1atwpgxYwAArq6uOHbsGOzs7NTKTJ48GUuWLAGQvghoUFCQoj4vXboENzc3SJKUY5n169dj+PDhEEKgRIkSiIqKQqVKlbTugyNSHJEiIqLCT1Ei5ebmhqtXr6JmzZoICwuDmZmZPmPLlUqlgoODAx48eAAAOHv2LNzd3bMt17hxY5w7dw4AcPDgQXTu3Dnf4+vRowf27NkDAFi9ejW8vb21rstEiokUEREVfoqu2ouKioIkSRg1alSBJ1EAEBQUJCdRHh4e2SZRAGBsbIzx48fLz/38/AokPjc3N3n74cOHBdInERERFRxFiVTJkiUBAM7OzvqIJc8OHDggb3fr1k1j2ffeey/bevkpPDxc3ra3ty+QPomIiKjgKL5pMQA8ffpUL8Hk1cWLF+XtJk2aaCxrb28PBwcHAMCjR48QGxubr7Ht2bMHO3bsAACYmprC09MzX/sjIiKigqfoqr2+ffsiLCwMR44cgY+Pj75i0tr169fl7apVq+ZavmrVqoiOjpbrVqhQQXEMQUFBciKZmpqK6OhoHDp0CIcOHQKQfhXjypUrs0yAf1NKSgpSUlLk5wkJCYpjIyIiovylKJEaN24cVq1ahe3btyM4OBitWrXSV1xaiYuLk7dtbGxyLV++fPls6yrxxRdf4N9//83yuiRJ8PDwwOzZs9GmTZtc21mwYAFmz56tl5iIiIioYCg6tWdlZYWdO3fCxsYGnp6eWL9+PdLS0vQVW66SkpLkbVNT01zLly5dWt5OTEzMl5gyVK5cGZ06dULNmjW1Kj9t2jTEx8fLj4yRMyIiIiq8FI1IZVzO7+bmhmPHjmHEiBGYMmUKmjRpAhsbGxgZac7TJEnC6tWrlYRgcCEhIfL28+fPER4ejt27d2PJkiWYPn06li5dik2bNqFjx44a2zExMSmwRUyJiIhIPxStI2VkZKRxUUptKLlFTLly5fDs2TMA6SNM5ubmGsv36dNHngC+Z88edO/eXee+cxMREYF3330X9+/fR6lSpXDmzBnUq1dP6/pcR4rrSBERUeGn6NQekH5PPV0fSpUtW1befvz4ca7lnzx5km3d/FC1alUsXLgQQPok9Hnz5uVrf0RERFTwFJ3ai4iI0FccOnFxcZFjiIiIyHU9q8zxuri45GdoANTXrgoMDMz3/oiIiKhgKUqknJyc9BWHTurVqyffrPj06dNo165djmUfPXokT+C2tbXVy9IHubGwsJC3M05BEhER0dtD8ak9Q+ratau8ndtq5fv375e3c1sFXV9u3rwpbxdE4kZEREQFq0gnUh4eHvKtVwIDAxEaGpptOZVKheXLl8vPBw0aVCDxrVy5Ut4u6DW2iIiIKP/pNZF69eoVTpw4gd9++w0LFy7EnDlz9Nl8FsbGxpgxY4b83MvLCzExMVnKTZ06FefOnQOQntB06dIl2/Z8fX0hSRIkSULbtm2zLbNy5UoEBARonCyvUqmwcOFC/PLLL/JrH3/8sRbviIiIiIoSRXOkMqSmpuLbb7/FihUrEB8fr7Yvc6IDAFOmTMGuXbvg4OCAo0ePKu7bx8cHO3bswOHDh3H58mU0aNAAPj4+cHV1xdOnT+Hn54cTJ04ASL9Sb9WqVYr6CwkJwdixY+Hg4IBOnTqhXr16sLW1RalSpRAXF4dLly5h165diIyMlOtMmzYNHh4eivolIiKiwkdxIvXkyRN06tQJ58+fzzJKk90aU7169cKSJUtw69YtnDlzBo0bN1bUf4kSJbBt2zYMHjwYe/fuxcOHDzF37tws5apUqYLNmzfDzc1NUX8ZoqOjsWbNGo1lrKyssGDBAowdO1YvfRIREVHhojiR6tu3r9ppMy8vL9y7dy/H03qtWrVClSpVcO/ePRw4cEBxIgWkXx23Z88e7Nq1C+vXr8fp06cRExMDCwsLVK9eHX369MHo0aNhZWWluK/ly5ejZ8+eCAoKQlhYGG7duoXHjx/j1atXMDc3h52dHerXr48uXbqgf//+eumTiIiICidFK5tv374d/fr1gyRJmDRpEr777jsAwK5du9C7d29IkpTtyuXe3t7w9fVFly5dcr3arrjiyuZc2ZyIiAo/RZPN//rrLwBA/fr15SRKG/Xr1wcAXL9+XUn3RERERAalKJH677//IEkSPvjggzzVs7OzAwDExsYq6Z6IiIjIoBQlUhmJULVq1fJUr2TJkgDSr/YjIiIiKqoUJVKmpqYA8p4QZSRg1tbWSronIiIiMihFiVTFihUBAFevXs1TvZCQEABA1apVlXRPREREZFCKEqnWrVtDCIGtW7dqXOk7s8ePH2Pbtm2QJImLVBIREVGRpiiR+vDDDwGk35x33rx5uZZPTU3Fhx9+iBcvXkCSJAwfPlxJ90REREQGpXhEytPTE0IIzJw5E6NHj0Z4eHiWci9evMCOHTvQrFkzHD58GJIk4cMPP0Tt2rWVdE9ERERkUIoW5ASA+Ph4tGzZElevXpVvCWNqaoqXL19CkiSUK1cOcXFxSEtLAwAIIdCwYUOcOHECZmZmyt/BW4oLcnJBTiIiKvwUjUgB6feTCwkJwcCBAyGEgBBCTqKA9HvxqVQqeV///v0RFBTEJIqIiIiKPMUjUpldvHgR69atQ1BQECIjIxEXFwdzc3NUqVIFHh4e8PLyQpMmTfTV3VuNI1IckSIiosJPr4kU6Q8TKSZSRERU+Ck+tUdERERUXDGRIiIiItIREykiIiIiHZXQppC3t3e+dC5JElavXp0vbRMRERHlN60mmxsZGcnLGeibSqXKl3aLOk4252RzIiIq/LQakQKg1b30JEnSWO7N/fmVnBEREREVBK0SqYiIiBz3vXr1ClOnTsX27dthbm6ODz/8EB06dECNGjVQpkwZPH/+HOHh4Th69Cg2btyIxMRE9OnTBwsXLkSJElrncURERESFjuJ1pAYOHIi///4brVu3xqZNm2Bvb59j2UePHmHgwIH4559/MGDAAPj5+Snp+q3GU3s8tUdERIWfoqv2tm7diq1bt6JKlSrYu3evxiQKAOzs7LB3715UrlwZW7Zswd9//62keyIiIiKDUpRIrVmzBpIkwdvbG+bm5lrVMTc3x0cffQQhBNasWaOkeyIiIiKDUpRIXbx4EQBQp06dPNXLKH/hwgUl3RMREREZlKJE6smTJwCAxMTEPNXLKJ9Rn4iIiKgoUpRIVahQAQDg7++fp3oHDhxQq09ERERUFClKpNq0aQMhBLZv344dO3ZoVWfnzp3Yvn07JElCmzZtlHRPREREZFCKEqnx48fDyCi9iYEDB2Lq1Kl4+PBhtmUfPnyIadOmYeDAgQDSF+McP368ku6JiIiIDErxOlKzZs3CnDlz5FXKjYyMULt2bdSoUQNmZmZ48eIFwsPDce3aNaSlpckrm8+cORMzZ85U/g7eUlxHiutIERFR4ad4afFZs2bBysoK06dPR3JyMlQqFa5cuYIrV66olctIoExNTTF//nxMnDhRaddEREREBqXo1F6Gzz77DJcvX8bEiRPh5OQEIUSWh7Ozs1o5IiIioqJO8am97MTGxuL+/ftISkqCubk5KlWqxCv08oin9nhqj4iICr98uWtwhQoVmDgRERHRW08vp/aIiIiIiiMmUkREREQ6YiJFREREpCMmUkREREQ6YiJFREREpCMmUkREREQ6YiJFREREpCMmUkREREQ6YiJFREREpCMmUkREREQ6UpRIHTp0SF9xEBERERU5ihKprl27okaNGli0aBFiYmL0FZPOdu/ejf79+8PZ2RmmpqawtbVFy5YtsXjxYiQkJOitn8TERGzbtg2ffPIJWrZsiQoVKqBkyZKwtLRE7dq14eXlBX9/f+TD/aCJiIioEJGEgr/2RkZGkCQJAFCiRAn06tULo0aNQocOHfQWoDaSkpIwZMgQ7N69O8cyDg4O2LJlC5o3b66or6VLl2L69OlITk7OtWzr1q2xYcMGODo65rmfhIQEWFlZIT4+HpaWlrqEWmBMnAfovc2UyC16b5OIiEjfFCVSI0aMwJYtW/Dy5cv0xv4/qapevTpGjRqF4cOHw8bGRj+R5kClUqF79+7w9/cHANjZ2cHHxweurq54+vQp/Pz8EBwcDACwtrZGcHAw6tSpo3N/Y8aMwapVqwAAlStXRseOHdGoUSPY2toiOTkZISEh2LBhA5KSkgAAVatWRUhICGxtbfPUDxMpJlJERFT4KUqkACA+Ph7r16/H77//jkuXLqU3+v8JVcmSJdGnTx+MGjUKbdu2VRxsdlatWoUxY8YAAFxdXXHs2DHY2dmplZk8eTKWLFkCIH2UKCgoSOf+xo4di9u3b2Py5Mno0KEDjIyynh2NiopCly5dcP36dQDpCeeaNWvy1E9xT6TyA5MzIiLSN8WJVGanTp3CqlWrsHXr1iyjVDVr1sTo0aMxbNgwlCtXTi/9qVQqODg44MGDBwCAs2fPwt3dPdtyjRs3xrlz5wAABw8eROfOnXXq8+nTp1rFf/78eTRs2BAAYGZmhtjYWJiZmWndDxMp/WMiRURE+qbX5Q9atGgBX19f3L9/Hz/++CPq1q0LIQSEELh58yYmT56MypUrY+jQofjnn38U9xcUFCQnUR4eHtkmUQBgbGyM8ePHy8/9/Px07lPbJLBBgwZwcXEBALx48QLh4eE690lERESFU76sI2VlZYVPP/0UFy5cQHBwMIYOHQpTU1MIIZCSkoK//voLbdu2hZubG5YvX464uDid+jlw4IC83a1bN41l33vvvWzr5afMI0kZI3RERET09sj3BTlbtGiBdevW4f79+/jkk0/k14UQuHbtGj777DNUqVIF48aNw7179/LU9sWLF+XtJk2aaCxrb28PBwcHAMCjR48QGxubp77yKjU1FTdu3JCfOzk55Wt/REREVPDyPZF6/fo1Nm/ejD59+uDnn3+GJEny+koZp/1evHiBlStXwsXFBb///rvWbWdM5gbSr47LTeYymevmh7/++gvx8fEAAHd3d9jb2+drf0RERFTw8i2RCg8PxxdffIHKlStj8ODBCAwMlBOnpk2bYu3atbh37x6WLl0KFxcXOaEaM2YMDh48qFUfmU8JarPMQvny5bOtq2+xsbH48ssv5edff/11rnVSUlKQkJCg9iAiIqLCTa+J1KtXr7Bp0ya0b98eLi4uWLJkCWJjYyGEQOnSpfHRRx/h7NmzCAkJwbBhw1CxYkVMnDgRV69exbp162BmZgYhBBYuXKhVfxlrNQGAqalpruVLly4tbycmJub9DWohNTUVffv2lVd679WrF3r37p1rvQULFsDKykp+ZJyGJCIiosKrhD4auXnzJn777TesW7cOT548AQD59F3t2rUxduxYeHl5wcrKKsc2hg4dihs3bmDevHm4fPmyPsIqcGlpafD29pavSKxevbrW60dNmzYNn3/+ufw8ISGByRQREVEhpyiR8vPzw2+//SYvcJmRPJUsWRK9evXC2LFj87QQZ9OmTQFATsZyY25ujmfPngEAkpOTYW5urrF85ivnLCwstI5LG0IIjBkzBhs3bgQAODo64siRI7C2ttaqvomJCUxMTPQaExEREeUvRYnUkCFD1CaPV6lSBaNGjcLIkSN1mlxdqlSpPJUvW7asnEg9fvw410Qqc4JWtmzZPMeXEyEEPv74Y3mifJUqVXDs2DE4OzvrrQ8iIiIqfPRyaq9z584YO3Ys3n///WxvmaKtpk2bIiAgQOvyLi4uiIiIAABERETkmrhklM2oqw9CCIwbNw4rV64EkH7/vYCAAFSvXl0v7RMREVHhpWiy+eTJk3Hjxg34+/ujZ8+eipIoIP2mwh4eHvDw8NCqfL169eTt06dPayz76NEjREdHAwBsbW1RoUIF3QP9fxlJ1K+//goAqFSpEgICAlCjRg3FbRMREVHhpyjz+e677ww68tK1a1d5O7fVyvfv3y9v57YKujbeTKIqVqyIgIAA1KxZU3HbREREVDQoSqS8vb3h7e0t3wxYW5cuXYK3tzc++ugjJd3Dw8NDnosVGBiI0NDQbMupVCosX75cfj5o0CBF/QLAJ598IidR9vb2CAgIQK1atRS3S0REREWHokTK19cX69atw507d/JU7969e/D19YWvr6+S7mFsbIwZM2bIz728vOT1mzKbOnWqnOy1atUKXbp0ybY9X19fSJIESZI0Xm346aef4pdffgGQnkQFBgbqbc4VERERFR16mWxuSD4+PtixYwcOHz6My5cvo0GDBvDx8YGrqyuePn0KPz8/nDhxAkD6lXqrVq1S1N/XX3+NFStWAAAkScKECRNw9epVXL16VWM9d3d3ODo6KuqbiIiICheDJFIqlSq98xLKuy9RogS2bduGwYMHY+/evXj48CHmzp2bpVyVKlWwefNmuLm5KeovIykD0udJTZs2Tat6a9euxfDhwxX1TURERIVLvt+0ODsZyxBYWlrqpT0LCwvs2bMHO3fuRJ8+feDg4AATExPY2NigWbNmWLRoES5duoSWLVvqpT8iIiIiAJBExmqaOjAyMoIkSdi5cyfef//9XMu/ePECoaGh8Pb2xq1bt9CqVSt5VXRSl5CQACsrK8THx+st4cwvJs4DDB2CVlIitxg6BCIiestofW5t9uzZmDNnTpbXhRDo1auXTp1rczNfIiIiosIqT5OUchq80mVQq23btvjkk0/yXI+IiIiosNA6kXJ2ds6y4vjx48chSRJcXV1hY2Ojsb6RkRHMzc1RtWpVdOzYEd26dVO8EjoRERGRIelljtSOHTvQo0cPfcZV7HGOlP5xjhQREembovUH2rRpA0mSch2NIiIiInobKUqkAgMD9RQGERERUdHDSUpEREREOmIiRURERKQjrU7tZV4/KvNNgrNbVyqvMrdHREREVJRoddVextV5wP/uk/fm67rK3B79D6/a0z9etUdERPqm9WRzIUS2SZOC1RMUJ2FEREREhqRVIhUQEJCn14mIiIiKA60SqTdXNM/tdSIiIqLigFftEREREemIiRQRERGRjphIEREREemIiRQRERGRjrSabG5sbJwvnUuShNevX+dL20RERET5TatESslaUURERERvK60SqTZt2nDxTCIiIqI3aJVIBQYG5nMYREREREUPJ5sTERER6YiJFBEREZGOmEgRERER6YiJFBEREZGOtJpsPmfOHHl7xowZ2b6uq8ztERERERUlktBikSgjIyN5+QOVSpXt67rK3B79T0JCAqysrBAfHw9LS0tDh6ORifMAQ4eglZTILYYOgYiI3jJajUgB6YtyZpc0KVmsk2tTERERUVGmVSIVEBCQp9eJiIiIigOtEikPD488vU5ERERUHPCqPSIiIiIdMZEiIiIi0pHWk83zIiYmBvfv30diYiIsLCxQqVIl2Nra5kdXRERERAajt0QqKioKP/30E/7++29ER0dn2e/o6Ij+/ftj3LhxcHJy0le3RERERAajl1N7P//8M9zc3LBs2TJER0dDCJHlcefOHSxZsgRubm745Zdf9NEtERERkUEpHpFasGABvv76awDpa0oZGRnB1dUVNWvWRJkyZfD8+XOEh4fjypUrSEtLw4sXL/Dpp58iISEBU6dOVfwGiIiIiAxFq5XNcxIaGopmzZpBpVLB2NgY48ePx6RJk1CpUqUsZR88eIClS5fihx9+kMv/999/eOeddxS9gbcVVzbXP65sTkRE+qbo1N5PP/0ElUoFSZKwYcMGLFmyJNskCgAqVqyIxYsXY+PGjQCAtLQ0LF++XEn3RERERAalKJEKCAiAJEno3r07Bg4cqFWdAQMGoEePHhBCcGV0IiIiKtIUJVKPHj0CAHTv3j1P9Tw9PdXqExERERVFihKpsmXLqv03v+sRERERFSaKEilXV1cAwM2bN/NULzw8XK0+ERERUVGkKJH68MMPIYTA+vXrkZqaqlWd1NRU+Pr6QpIkDB06VEn3RERERAalKJEaPnw42rZtixs3bmDIkCF4+fKlxvLJycn48MMPcfPmTbRr1w7Dhw9X0j0RERGRQSlKpCRJwq5du9CnTx9s27YNderUwffff4+wsDAkJSVBCIGkpCScO3cOixcvRp06dbBt2zb069cPO3fu1NNb+J/du3ejf//+cHZ2hqmpKWxtbdGyZUssXrwYCQkJeutHpVLh0qVL8PX1xaeffooWLVrAzMwMkiRBkiQmiERERMWEVgtyGhsb59pQRjOSJGldRpIkvH79WqtANUlKSsKQIUOwe/fuHMs4ODhgy5YtaN68ueL++vbti+3bt+e4f9iwYfD19VXUBxfk1D8uyElERPqm1S1i8rL4uTZlFSymnoVKpUL//v3h7+8PALCzs4OPjw9cXV3x9OlT+Pn5ITg4GNHR0ejWrRuCg4NRp04dxX1mVq5cOZQvXz7Pk+6JiIioaNMqkWrTpo3GkSZD+uOPP+QkytXVFceOHYOdnZ28f9y4cZg8eTKWLFmCZ8+eYfTo0QgKClLUZ9OmTVGnTh00atQIjRo1QtWqVeHr64sRI0YoapeIiIiKFkX32jM0lUoFBwcHPHjwAABw9uxZuLu7Z1uucePGOHfuHADg4MGD6Ny5s15jyZxI8dRe8cHThURExZuiyeaGFhQUJCdRHh4e2SZRAOQbKmfw8/MrkPiIiIjo7VakE6kDBw7I2926ddNY9r333su2HhEREZGuinQidfHiRXm7SZMmGsva29vDwcEBQPo9/mJjY/M1NiIiInr7FelE6vr16/J21apVcy2fuUzmuoVBSkoKEhIS1B5ERERUuGl11Z42Xrx4gV27diEkJAR3795FQkJClmUC3iRJEo4ePapzn3FxcfK2jY1NruXLly+fbd3CYMGCBZg9e7ahwyAiIqI80EsitXLlSnz11VeIj4/Xuo4QQvGSCklJSfK2qalpruVLly4tbycmJirqW9+mTZuGzz//XH6ekJAgn4okIiKiwklxIvXtt99i5syZWi2ymZE4FeEVF/KNiYkJTExMDB0GERER5YGiOVLXrl3DzJkzAQC1atXC0aNH5RsXS5KEnTt3IikpCRcvXsSiRYtQsWJFAMCIESOQnJyc66m/3Jibm8vbycnJuZbPfFNlCwsLRX0TERERKRqRWrlyJYQQMDMzw6FDh+Do6JiljJmZGdzc3ODm5gYfHx/07NkTvr6+eP78OTZt2qSke5QtWxbPnj0DADx+/FgtscrOkydP1OoSERERKaFoROr48eOQJAn9+/fPNol6U9myZbFz506UK1cOW7du1XiTYW24uLjI2xEREbmWz1wmc10iIiIiXShKpO7cuQMAaN68ebb7U1NTs7xmbW2NYcOGQQiBP//8U0n3qFevnrx9+vRpjWUfPXqE6OhoAICtrS0qVKigqG8iIiIiRYlUxpVvbyYlGVfH5XRl3DvvvAMAOHPmjJLu0bVrV3k7t9XK9+/fL2/ntgo6ERERkTYUJVJlypQBkHXkycrKCsD/Rqze9Pr1awDpo0RKeHh4wN7eHgAQGBiI0NDQbMupVCosX75cfj5o0CBF/RIREREBCiebOzs748KFC1kSIhcXFzx8+BDBwcHZ1jt//jwAoFSpUkq6h7GxMWbMmIGPP/4YAODl5YVjx47B1tZWrdzUqVNx7tw5AECrVq3QpUuXbNvz9fXFiBEjAKQnaYGBgYrio7efifMAvbeZErlF720SEVH+UJRINWjQAOfPn1e75x0AtGnTBsePH0dAQADOnj2LRo0ayftu376NP/74A5IkoU6dOkq6BwD4+Phgx44dOHz4MC5fvowGDRrAx8cHrq6uePr0Kfz8/HDixAkA6ZPdV61apbjPiIgIrF69Wu21CxcuyNthYWH4+uuv1fa3b98e7du3V9w3ERERFR6KEqm2bdti/fr1OHbsmNrrXl5eWLBgAVQqFdq3b4/Ro0ejRo0aCA8Pxx9//IGkpCRIkqSXU2wlSpTAtm3bMHjwYOzduxcPHz7E3Llzs5SrUqUKNm/eDDc3N8V9RkVFYd68eTnuv3DhglpilREnEykiIqK3i6JE6v3334exsTGioqJw8uRJtGzZEgBQvXp1fPXVV5gzZw6SkpKwZMmSLHXd3d0xduxYJd3LLCwssGfPHuzatQvr16/H6dOnERMTAwsLC1SvXh19+vTB6NGj5blbRERERPogCYX3a4mIiEBqaipsbW1hbW2ttm/x4sWYO3eu2j3xMtadWrlyJRfF1CAhIQFWVlaIj4+HpaWlocPRKD/mCRVnnCNFRFR0KE6kcpOSkoJTp07h4cOHKFOmDBo3bizfKoZyxkSq+GIiRURUdCi+aXFuTExM0LZt2/zuhoiIiKjAKVpHioiIiKg4y7cRqbi4OCQmJsLCwoJzoYiIiOitpLcRqaSkJKxYsQJt27aFhYUFypcvD2dnZ5QvXx4WFhZo164dfvnlF7WJ50RERERFmV4mm+/ZswejRo1CTEwMACC7JiVJApB+w+Dff/8d3bt3V9rtW42TzYsvTjYnIio6FCdS69evx0cffYS0tDQ5gcpYv6lMmTJ4/vw5bt++jYSEBLmOkZER1q5di6FDhyqL/i3GRIr0ickZEVH+UHRqLzw8HGPGjIFKpYIQAr1798apU6cQHx+P0NBQ/PPPPwgNDUVcXBxCQkLQt29fAEBaWhpGjx6NW7du6eVNEBERERmCokRq2bJlSE5OhiRJ+O6777Bt2zY0a9Ys27JNmzbF1q1b8f333wNIX19q2bJlSronIiIiMihFidShQ4cgSRLatGmDyZMna1Xn888/h4eHB4QQOHjwoJLuiYiIiAxKUSJ17949AEC/fv3yVC+jfEZ9IiIioqJIUSJlbm4OALCzs8tTPVtbW7X6REREREWRokSqRo0aAIA7d+7kqV50dDQAoGbNmkq6JyIiIjIoRYnUwIEDIYTAX3/9le3aUdkRQmDjxo2QJAmDBg1S0j0RERGRQSlKpMaMGYP69esjLCwMn332mVZ1Pv/8c4SFhaFBgwYYPXq0ku6JiIiIDEpRImViYoJ9+/ahWbNm+Omnn9C8eXP8/fffePbsmVq5uLg4bN26FS1atMDy5cvRokUL7Nu3D6VKlVIUPBEREZEhabWyebVq1TTuf/XqFe7duyffBgYArK2t5ZXNMxIrIQQkSUKlSpVQsmRJSJLERTlzwJXNSZ+4sjkRUf4ooU2hyMhISJKU4zwoSZLkJCqjzNOnT/H06dMs5QDg/v37clJFREREVFRplUg5Ojoy6SEiIiJ6g9YjUkRERESkTtFkcyIiIqLijIkUERERkY6YSBERERHpSKs5Utp6/Pgx9u3bh5CQEDx48ACJiYmwsLBApUqV0KxZM3h6esLGxkafXRKRFvS9RAWXUyAiSqeXROrFixf44osvsGbNGqSkpGRbZtWqVTAxMcHIkSOxaNEilC5dWh9dExERERmM4lN7jx8/RpMmTfDrr78iOTkZQogcH8nJyfj555/RpEkTPHnyRB/xExERERmM4hGpvn374urVqwCA0qVL44MPPkCXLl1Qq1YtmJubIykpCTdu3MDBgwexadMmvHjxAleuXEHfvn0RGBiotHsiIiIig9HqFjE52bFjB/r27QtJktCwYUNs374dTk5OOZaPiopCv379cPbsWUiShO3bt6Nnz566dv9W4y1iqDDjHCkionSKRqQ2bdoEAKhQoQIOHz6McuXKaSzv5OQEf39/uLm5ITY2Fn/99RcTKaIiKD+SZyZnRFQUKZoj9e+//0KSJHh7e+eaRGUoX748PvroIwgh8O+//yrpnoiIiMigFCVSMTExAID69evnqV69evXU6hMREREVRYoSqVKlSgEAUlNT81Qvo3zJkiWVdE9ERERkUIoSqUqVKgEA/vnnnzzVCwoKAgBUrlxZSfdEREREBqUokWrbti2EEPjzzz9x/vx5reqcO3cOGzZsgCRJaNu2rZLuiYiIiAxKUSI1cuRISJKEV69eoWPHjti+fbvG8tu3b0enTp2QmpoKSZLg4+OjpHsiIiIig1K0/IG7uzvGjBmDX3/9FU+fPkX//v1RrVo1dOrUCbVq1UKZMmXw/Plz3Lx5E4cPH8atW7cghIAkSRgzZgzeeecdfb0PIiIiogKnaEFOAEhLS8OwYcOwcePG9AYlKceyGV19+OGH8PX1hZGR4jvUvLW4ICcVN1xHioiKIsW3iDEyMsKff/6JHj16YNGiRQgNDc2xbKNGjTB16lT07dtXabdERLniwqFElN8UJ1IZ+vfvj/79++POnTv4999/8eDBAyQmJsLCwgIVK1ZEs2bN4OjoqK/uiIiIiAxOUSK1fv16AIC9vT06d+4MAHB0dGTCRERERMWCokRq+PDhkCQJ06dPlxMpIiJdcK4dERVFimZ7m5ubAwBcXV31EgwRERFRUaIokapYsSIA4NWrV3oJhoiIiKgoUZRItWvXDgBw+vRpvQSj1O7du9G/f384OzvD1NQUtra2aNmyJRYvXoyEhIS3pk8iIiIqHBStIxUWFoamTZvCzMwMV65cMdi985KSkjBkyBDs3r07xzIODg7YsmULmjdvXiT65DpSRIUTlz8goswUL8j53XffYerUqahduzY2bdqE+vXr6ys2rahUKnTv3h3+/v4AADs7O/j4+MDV1RVPnz6Fn58fgoODAQDW1tYIDg5GnTp1Cn2fTKSIig8mZ0RFl6JEKmP5g82bN+PAgQMwMjLCu+++i9atW6NKlSooXbp0rm14eXnp2j0AYNWqVRgzZgyA9Envx44dg52dnVqZyZMnY8mSJQCA1q1bIygoqND3yUSKqPhgIkVUdClKpIyMjNRuCZNxHz2tO5ckvH79WtfuoVKp4ODggAcPHgAAzp49C3d392zLNW7cGOfOnQMAHDx4UOflGgqqTyZSRMUHEymiokvxyuZv5mEKzxTmSVBQkJzQeHh4ZJvQAICxsTHGjx8Pb29vAICfn5/OiZQh+iSitxtvZUNUdClKpNauXauvOHRy4MABebtbt24ay7733nvZ1isKfRIR5ZW+kzMmZkTZU5RIDRs2TF9x6OTixYvydpMmTTSWtbe3h4ODA6Kjo/Ho0SPExsaiQoUKRaJPIiJD46gZUfb0dtNiQ7h+/bq8XbVq1VzLV61aFdHR0XJdXZIaQ/RJRPQ2KirzK/Mj4Suuienb+L51TqTu3buHCxcuID4+HlZWVqhXrx6qVKmiz9hyFRcXJ2/b2NjkWr58+fLZ1i0MfaakpCAlJUV+Hh8fDwBFYlFPkcaV7Yno7VXKsbehQ9BKUYlT3/Lz76SFhUWuF9HlOZH677//8NlnnyEkJCTLvubNm2PZsmVo2rRpXpvVSVJSkrxtamqaa/nMyzEkJiYWqj4XLFiA2bNnZ3ndwcEhjxESEREVH1ZWVvnWtjZXzucpkTp06BB69eqFlJSUbK/OO3XqFDw8PLBz50506dIlb9EWc9OmTcPnn38uP09LS8PTp09Rvnz5PC0poS8JCQny/K7CvvxCccTjU7jx+BR+PEaFW2E5PhYWFrmW0TqRSkxMxLBhw5CcnCy/VqNGDdja2iImJgbh4eEA0k9RDRs2DDdu3Mj3N29ubo5nz54BAJKTk2Fubq6x/MuXL+VtbT6cguzTxMQEJiYmaq+VLVtWpxj1ydLSkv+TKcR4fAo3Hp/Cj8eocCsKx0frmxb/+eefePToESRJQuPGjXH58mXcuHEDJ06cwI0bN3DlyhX5lF5sbCz+/PPPfAs6Q+ZE4/Hjx7mWf/LkSbZ1C3ufREREVDhpnUhlrINkY2ODgwcPZrl3XO3atXHgwAHY2tqqlc9PLi4u8nZERESu5TOXyVy3sPdJREREhZPWidSFCxcgSRK8vLxgbW2dbRlra2t4eXlBCKG23lJ+qVevnrx9+vRpjWUfPXokL0Nga2ur8zIEhujTEExMTDBz5swspxupcODxKdx4fAo/HqPCrSgdH60TqadPnwIAGjZsqLFcgwYNAKif0sovXbt2lbdzGwHbv3+/vJ3biuSFrU9DMDExwaxZs4rEl7g44vEp3Hh8Cj8eo8KtKB0frROp58+fA8h9knbG5OvMk6zzi4eHB+zt7QEAgYGBCA0NzbacSqXC8uXL5eeDBg0qUn0SERFR4aR1IlUYGRsbY8aMGfJzLy8vxMTEZCk3depUnDt3DgDQqlWrHJdm8PX1hSRJkCQJbdu2LZA+iYiIqOgq0reIAQAfHx/s2LEDhw8fxuXLl9GgQQP4+PjA1dUVT58+hZ+fH06cOAEg/aq5VatWFck+iYiIqPDJcyJliMUhNSlRogS2bduGwYMHY+/evXj48CHmzp2bpVyVKlWwefNmuLm5Fck+iYiIqPDJ86m9Xr16wdjYOMdHnz59AABCCI3ljI2NUaKEfgbELCwssGfPHuzcuRN9+vSBg4MDTExMYGNjg2bNmmHRokW4dOkSWrZsqZf+DNVnftu9ezf69+8PZ2dnmJqawtbWFi1btsTixYuLxD3/3lZt27aVTzlr84iMjDR0yG8FlUqFS5cuwdfXF59++ilatGgBMzMz+XMePnx4ntsMDw/HlClTULduXVhZWcHc3BwuLi4YN26cPBWAtKOv45N5Soc2j1mzZuXr+3qbJCYmYtu2bfjkk0/QsmVLVKhQASVLloSlpSVq164NLy8v+Pv7Z3unlJwUyt+Q0JIkScLIyEgYGRkJSZJyfGSUya1cRlkyvMTERNGjRw8BIMeHg4ODOHXqlKFDLZY8PDw0Hps3HxEREYYO+a3Qp08fjZ/zsGHD8tTeqlWrROnSpXNsz9jYWMyePTt/3sxbSF/HZ+3atXn6fc2cOTNf39fbYsmSJcLU1FSrz7R169YiKioq1zYL628oT0NCQousUZsyVHioVCr0798f/v7+AAA7O7ss872Cg4MRHR2Nbt26ITg4OMtirFRwduzYkWuZjEVxSRmVSqX2vFy5cihfvjxu3ryZ57Y2bNiA0aNHAwCMjIwwaNAgdOjQASVKlEBwcDDWrVuHlJQUed2cL7/8Ui/v4W2mz+OT4dNPP0X79u01lqldu7bO7RcnN27ckG8pV7lyZXTs2BGNGjWCra0tkpOTERISgg0bNiApKQn//PMP2rZti5CQkBz//1Wof0MFnrpRobJy5Uo5m3d1dRUPHz7MUmbSpElq/3KggpV5RIoKzrx588TUqVPF1q1bxe3bt4UQ6qMX2o54xMTECEtLSwFAGBkZiV27dmUpc+rUKWFmZiYAiBIlSohr167p8628lfR1fDLXWbt2bf4FXMyMGTNGdO7cWRw6dEioVKpsy0RGRgoXFxf58x8xYkS25Qr7b4j/Zy7GXr9+LSpWrCh/ic+ePZtjuYYNG8rlDh48WMCRFm9MpAoPXf5Qf/HFF3KdTz/9NMdyS5Yskct98MEHeoq4eGEiVXg8efJEq3Lnzp2TP38zMzPx/PnzLGUK+2+oSK8jRcoEBQXhwYMHANIXGnV3d8+2nLGxMcaPHy8/9/PzK5D4iN4Gmzdvlrc/++yzHMv5+PigTJkyANIv/CiIRY2J8ku5cuW0KtegQQP5PrQvXrxAeHh4ljKF/TfERKoYy3yLm9xuYfPee+9lW4+IcnblyhVERUUBAOrUqYOqVavmWNbCwgKtW7cGkH4niePHjxdIjESGZmlpKW+/mfwUhd8QE6liLPONpZs0aaKxrL29PRwcHACk34w5NjY2X2Oj7HXv3h2VK1dGqVKlYG1tDTc3N/j4+CAgIMDQoVE28vIbe7NMQdz4ndT98ssvqFOnDszNzWFmZgZHR0f06NEDv/76K168eGHo8N5KqampuHHjhvzcyclJbX9R+A0xkSrGrl+/Lm9ryvKzK5O5LhWcffv24f79+3j16hXi4uJw5coV/PHHH2jfvj06dOggn6qlwoG/saLl9OnTuHbtGp4/f46XL18iOjoae/bswccffwxnZ2fs3bvX0CG+df766y/Ex8cDANzd3eV72WYoCr+hIn+LGNJdXFycvG1jY5Nr+fLly2dbl/KftbU1OnXqhMaNG6Ny5cowNjbGvXv3cPToURw4cABCCBw7dgwtWrRASEhIlv8ZkWHwN1Y0GBsbo0WLFmjdujVq1aoFc3NzxMXF4ezZs9iyZQuePn2K2NhY9OjRAxs3bsQHH3xg6JDfCrGxsWrLFHz99ddZyhSF3xATqWIsKSlJ3jY1Nc21fOnSpeXtxMTEfImJslqwYAEaNWqEUqVKZdn3+eef48yZM+jbty/u3LmDqKgoeHt7Y//+/QaIlN7E31jh9+677yIyMhJVqlTJsm/kyJH47rvv4OPjg82bN0MIAW9vb7Rq1QqOjo4GiPbtkZqair59+yImJgZA+l1TevfunaVcUfgN8dQeUSHXokWLbJOoDI0bN4a/vz9MTEwApF8McPr06YIKj6hIq1GjRrZJVAYLCwts3LgRbdu2BQAkJydj0aJFBRTd2yktLQ3e3t74559/AADVq1fHmjVrDByV7phIFWPm5ubydsYKtJpkvprCwsIiX2Ii3dSpUwdDhw6Vn3MuR+HA39jbwdjYGN9++638nL8v3QkhMGbMGGzcuBEA4OjoiCNHjsDa2jrb8kXhN8REqhgrW7asvP348eNcyz958iTbulQ4tGvXTt6+evWqASOhDPyNvT1atGghn1q6c+cOr+LTgRACH3/8MX7//XcAQJUqVXDs2DE4OzvnWKco/IaYSBVjGYugAUBERESu5TOXyVyXCocKFSrI25yoXDjwN/b2MDIyUltkkr+xvBFCYNy4cVi5ciWA9PvvBQQEoHr16hrrFYXfEBOpYqxevXrydm5zah49eoTo6GgA6TfFzfxHmwqHzP9a42hG4ZCX39ibZerWrZsvMZFu0tLS8OzZM/k5f2Pay0iifv31VwBApUqVEBAQgBo1auRatyj8hphIFWNdu3aVt3NbrTzzVWC5rYJOhpF5UU6OZhQOrq6u8tVdV69eRWRkZI5lk5KS5Mm3ZmZm8PDwKIgQSUshISHy/JsqVarAzMzMwBEVDW8mURUrVkRAQABq1qypVf2i8BtiIlWMeXh4yOsNBQYGIjQ0NNtyKpUKy5cvl58PGjSoQOIj7d24cQN//vmn/Lx79+4GjIYyGzhwoLy9dOnSHMv99ttveP78OQCgR48e/ENdiKSlpWHGjBnyc/6+tPfJJ5/ISZS9vT0CAgJQq1atPLVR6H9DBXZ7ZCqUfvnlF/lu2W5ubuLRo0dZykyePFku06pVKwNEWXz9+OOPIjg4WGOZ0NBQ4ezsLB+jzp07F1B0xc/atWvlz3nYsGFa1Xn06JGwsLAQAISRkZHYtWtXljIhISHCzMxMABAlSpQQV69e1XPkxUNej8/JkyfFqlWrxMuXL3Msk5SUJIYMGSK3a2JiIiIiIvQX9Fvsk08+kT83e3t7ce3aNZ3aKey/IUkIIQomZaPC6PXr1+jWrRsOHz4MIP1fDD4+PnB1dcXTp0/h5+eHEydOAEifE3DixAm4ubkZMuRipVevXti1axeqV6+Ojh07om7duihfvjyMjY1x//59HD16FPv370daWhqA9PtUnTx5EpUqVTJw5EVfREQEVq9erfbahQsXsGfPHgBA/fr18f7776vtb9++Pdq3b5+lrXXr1mH48OEA0ictDxo0CJ06dYKxsTGCg4Oxbt06+dLuefPm4auvvsqHd/R20cfx2blzJ3r37g1zc3N06tQJjRo1goODA8qUKYP4+HiEhoZi06ZN8pVgkiRh/fr1+PDDD/P53RV9X3/9NebNmwcg/XObP38+ateunWs9d3f3bBc7LdS/oQJL2ajQSkhIEN27d5f/5ZDdo0qVKrmOjJD+9ezZU+Nxyfzo0qWLuHfvnqFDfmsEBARo/dlnPGbOnJlje7/88oswNTXNsa6xsbGYMWNGwb3BIk4fx2fHjh1a17W3txd79+41zJstgjw8PPJ8fACItWvX5thmYf0N8RYxBAsLC+zZswe7du3C+vXrcfr0acTExMDCwgLVq1dHnz59MHr0aFhZWRk61GJnyZIleP/99/Hvv//i/PnziImJwePHj5GSkgIrKys4OzujRYsWGDJkCJo1a2bocEmDsWPHomPHjli5ciX8/f0RHR2NtLQ0VKpUCR06dMCoUaPwzjvvGDrMYqVjx47YtWsX/v33X/z333+Ijo7GkydPEBcXBzMzM9ja2sLd3R2enp4YMGCAVrcoofxTWH9DPLVHREREpCNetUdERESkIyZSRERERDpiIkVERESkIyZSRERERDpiIkVERESkIyZSRERERDpiIkVERESkIyZSRERERDpiIkVERESkIyZSRERERDpiIkVERESkIyZSRKRm1qxZkCQJkiQhMDDQ0OEUScnJyfjuu+/QokULWFtbw9jYWP5MIyMjDR0eEekREykqljL+qGU8/P39c60TGRkpl3/33XcLIEoqil6+fIk2bdrgyy+/REhICOLi4pCWlmbosIgon5QwdABEhcG0adPQpUsXSJJk6FCoiFu5ciVOnz4NAHB1dcXo0aNRuXJlGBsbAwBsbW0NGR4R6RkTKSIA586dg5+fHwYPHmzoUKiI27dvH4D0Uc+DBw+iSpUqBo6IiPITT+1RsWZqagojo/SfwTfffINXr14ZOCIq6qKjowGkjzwxiSJ6+zGRomKtfPnyGDp0KADg9u3bWLVqlYEjoqIuJSUFQHqSTkRvPyZSVOzNmTMHJiYmAIC5c+ciKSlJ57aGDx+u9dVZvr6+cllfX98s+zNPbh8+fDgA4OHDh5g+fTrq1q0LS0tL2NjYoHXr1tiyZQuEEGr1L126BB8fH7i4uMDMzAzly5eHp6enTlfiHTt2DAMGDICTkxNMTU1hZ2cHT09PbNu2Tes2VCoVNm7ciP79+8PZ2RllypSBubk5XFxc4OPjgzNnzmisn93nFRoaijFjxqBWrVqwsLDI8bPUVlxcHBYuXIjWrVvDzs4OpUqVgq2tLd59910sWLAAcXFx2dbLfKVjVFQUACAqKirLRQ26xvbPP//A29sbderUgYWFBUqWLAlbW1u4urqia9eumDt3Lm7cuKFWp0mTJpAkCcbGxvIomSZCCFSvXh2SJKF06dJ49uyZvC+772JcXBzmz58Pd3d3lC1bFmXKlIGrqyumTJmCmJiYXPu7ceMGli5dit69e6NmzZowNzeXP+82bdrg22+/xePHj3NtJyOutm3bAgCePXuGefPmwd3dHeXKlVOL6+HDh7m29/DhQ8yePRutWrWCjY0NSpYsCSsrK1SvXh0tWrTAxx9/jP379+d6AcG5c+cwYcIENGjQAOXKlYOJiQkqVaoET09PrFmzBq9fv841Fl2OOxmAICqGAAgAonLlykIIIT777DP5tdmzZ2dbJyIiQi7TqlWrbMsMGzZMLhMREaExhrVr18pl165dq7G/YcOGiRMnTghbW1v5tTcfo0aNEmlpaUIIIVatWiVKlCiRY9lff/01x7hmzpwplwsICBCff/55ju0AEL169RLJycka3+vFixdF7dq1NbYDQHzyySfi9evXWn1eixYtEsbGxlnayO6z1Ma+fftEuXLlNMZXrlw5sW/fPo2fmaZHXmNTqVRi9OjRWrXt6empVnf16tXyvhkzZuTa18GDB+XyXl5eavve/C6ePXtWODo65hiLnZ2duHjxYo59rVu3Tqv3ZGlpKfbu3asx7oyyHh4e4uLFi8LJySnH9sqWLSv8/f1zbGv//v3CwsJCq9hiY2OzbSM5OVl4e3sLSZI01ndzcxO3bt3Ktg0lx50KHiebEwGYPn06Vq9ejYSEBHz//fcYO3YsKlSoYOiwZHfu3EGvXr0QHx+P4cOHw8PDA6ampjh9+jR+/fVXvHz5Er/99htatGgBS0tLjB49GjY2NvD29kaDBg3w+vVr7Nu3D1u2bAEAjB8/Hm3btkXt2rU19vvTTz9h+/btsLKygre3Nxo1agSVSoXg4GCsW7cOKSkp2LlzJwYPHpzj6FRYWBg8PDyQmJgIAGjdujU8PT3h5OSEtLQ0XLhwAb6+vnj06BFWrFiB1NTUXE+xbtmyBQcOHIC5uTm8vLzQtGlTlCxZEleuXIG9vX2eP9+DBw+iZ8+e8ihBs2bNMGjQIFSqVAkPHjzApk2bEBISgqdPn6Jnz57Yu3cvunTpItcfNGgQGjZsCAAYNWoUYmNjUaFCBfz2229q/bi7u+cprhUrVsifhYWFBfr164dGjRqhQoUKSE1Nxd27d3HmzBkcOXIkS91BgwZh0qRJiIuLw5o1azBjxgz5ysHsZP7MR48enWO56OhodOvWDbGxsejbty86deqEcuXKITIyEr/99hvCw8Px6NEjDBw4EOfOnUPJkiWztPHixQtIkoQGDRqgTZs2qF27NsqVKwcAuHv3Lo4cOQJ/f38kJCSgb9++OHnyZK6fXXx8PHr27ImoqCi0adMG/fr1g52dHe7cuYONGzfi3LlziIuLQ69evRAUFIQmTZqo1b9//z4GDBggj0h7eHjA09MT9vb2MDExwePHj3Hp0iUcPXo0x1Gg169fo2vXrvKob6VKlTBo0CDUr18fZmZmuHv3LrZv344TJ07g8uXLaNOmDcLCwrL8v0bJcScDMHQmR2QIeGNESgghvv32W/n18ePHZ6ljyBEp/P9oyJkzZ7KUCwgIkP/16+zsLMqXLy+aNGkinjx5kqXsjBkz5PY+/vjjbON6c3SlZs2aIjo6Oku5ixcvigoVKsjl/Pz8spR5/vy5qFatmgAgzMzMxO7du7PtMy4uTrRr105u6/Dhw1nKZP68AIhatWqJqKiobNvLi8TERGFnZye3O2vWLHlkL0NaWpraZ2dnZycSEhKybS9jRMTJyUlxbG5ubgKAsLa2FpGRkTmWe/nypQgJCcny+oQJE+SYc/rshRDiwYMH8ghm3bp1s+x/87toYWEhjh8/nqVcYmKiaNiwoVxu27Zt2fZ36dIlcfPmzRzjEUKIw4cPCzMzMwFAdOjQIcdymeMCIBYtWpSlzOvXr8Unn3wil3F1dRUqlUqtzOLFi+X9y5cv1xhbSEiIePnyZZbXp06dKrfh4+OTbRkhhPjxxx/lckOGDMmyX+lxp4LFRIqKpewSqaSkJGFvby8AiFKlSmVJhAydSG3cuDHHtjp27CiXMzExyfF/vi9evBDm5uYCgKhWrVq2ZTInUkZGRiIsLCzHfnft2iWXfeedd7Lsz/wH488//8yxHSGEePz4sbC0tBQARNeuXbPsz/x5SZIkQkNDNbanreXLl8vtduvWTWPZrl27ymV/+OGHbMvoM5EyMTERAET//v11qn/t2jU53u7du+dYbt68eXK5n376Kcv+N7+La9asybGtAwcOyOVGjhypU9wZvv76a7mtu3fvZlsmc1x9+vTJsS2VSiUaN24sl921a5fa/syn0p4/f57nWB89eiRMTU0FANGxY8dcyw8ePFgAEMbGxlnem9LjTgWLk82J/l+ZMmUwY8YMAEBqaiq++eYbA0f0P7a2thg4cGCO+zOvtP7+++/Dyckp23KlS5dG48aNAQARERFITk7W2G/nzp3lU1bZ6dGjB1xcXACkn8K7ffu22v5169YBACpXrpzrGl0Zk+EBIDAwUL76LTvvvvsu3nnnHY3taWv79u3y9pdffqmx7FdffZVtvfxSpkwZAMDFixeRmpqa5/ouLi5o3749AODAgQPZTjoXQuCPP/4AAJiZmclXsebExsZGY5l27dqhRIn0WSOXLl3Kc8yZZf5eh4SE5Fr+iy++yHGfkZERJk2aJD//+++/1fZnfNYAcPbs2byECQDYvHmz/HuaMmVKruWHDRsGIP0ijKNHj2Ybi67HnQoW50gRZTJy5EgsXboU4eHh+OuvvzBlyhTUr1/f0GGhcePGGue3ZJ4X1LRpU41tZZQVQiAuLk7jnKKOHTvmGlvHjh1x/fp1AMB///2HatWqAQASEhJw7tw5AEDFihWxe/fuXNvKSJ6Sk5MRERGR4xyu1q1b59qWNoQQ+O+//wCkJxG53fqnVatWKFOmDJ4/f47Tp08jLS1NXocsP3Tu3BmbNm3CtWvX0KFDB3z++efo0qULzMzMtG5j7NixOHbsGFQqFVavXo1Zs2ap7T906BAiIiIAAAMHDoSVlZXG9po0aSInStkxMTGBjY0NHj58qHblX3ZOnDgBPz8//Pfff7h9+zYSExNzXMvt7t27GtuytLTM9buf+fuccdwzdO7cGUuXLgUA9OnTB19++SX69++f4z9K3hQUFCRvP3r0CDt37tRY/t69e/L2lStXssSi9LhTwWEiRZRJyZIl8e2332LQoEFIS0vDtGnT5JWqDal8+fIa92cs35DXsrmNSNWsWTPX2DKXuX//vrwdHR0tXyJ+5swZ9O7dO9e2Mnv69GmO+/S10GVCQgJevHgBAKhevXquSZGRkRFq1KiB8+fP4+XLl4iLi5MnSeeHRYsW4cSJE7h79y5OnDiBEydOoGTJknB3d0fLli3Rtm1bdO7cWeOaVb169UKlSpVw//59rFmzBt98841aUp55QrymSeYZbGxsci2T8R3L6fuVlJSEDz/8ELt27cq1rQwJCQka92cs3aCJjY0NypYti7i4OLXvKgB06dIFXl5eWL9+PR4/fowpU6ZgypQpqFq1Klq0aIE2bdqgW7ducHBwyLbtzMudeHl5afem/t+b33V9HHcqODy1R/SGAQMGyFcI7d+/X+1fmoaSl1EPfY6QZD7doU2ZjCvzAOS45pK2NJ3SKF26tKK2M2SOV5v3CgDm5ubZ1s8Pjo6OCAsLw8SJE+WE7dWrV/j333+xbNky9OzZE3Z2dpgxY0aOp0JLlCiBkSNHAkhPbg8cOCDve/jwoTxS2KBBAzRr1izXmPTx/Ro4cKCcRJUpUwYDBgzAggULsG7dOmzduhU7duzAjh07MHfuXLmOSqXS2Ka2xy+jXHbrxfn6+sLX11dtFDoiIgJ//fUXxowZAycnJ3h6esojsJkp+b6/+V3Xx3GngsNEiugNkiRh4cKF8vOpU6fmSz+5/WEoDJ4/f56nMhYWFvJ25oSjT58+EOkXt2j9yFhgMT9ljleb9wqo/wHOXD+/2NjYYNmyZXj06JH8h7R///7yH9iEhATMnTsX3bp1y3GRyFGjRsmjUJlHoDIvDKnNaJQ+BAcHY//+/QCAevXqITw8HJs3b8bUqVPh5eWFfv36oVevXujVq1ee5sFpe/wyymX+fmaQJAnDhg3D+fPnERkZiQ0bNmDcuHFwc3MDkH4qeP/+/WjSpAkuXryoVjdzewkJCXn6rme3UKs+jjsVDCZSRNno1KmTPJ/i1KlT2LFjh1b1Mp82y22SqDarNhtaeHh4nspUqlRJ3q5cubK8rc3K2oZgaWkpj1Dcvn071z9IaWlpuHXrFoD0UbGyZcvmd4iyEiVKoGnTppg4cSK2bNmCmJgYbN26VZ7TdOzYsRy/p5UrV0aPHj0ApI+y3r17F0II/P777wDSR2mGDBlSIO/j0KFD8vb8+fM1ztHLmLuljVu3bmVZ3f9NT548kUeOMn9Xs+Pk5IQhQ4ZgxYoVuHTpEq5cuQIPDw8A6SORmS88ANRPN+vz+67kuFPBYCJFlIOFCxfKcy6mT5+u1QiStbW1vJ15Mml2Tp48qSzAAnD48OFcy2ReFDDzqSEbGxv5X/KhoaF49OiR/gNUSJIkeWHG58+fIzg4WGP54OBgeUSqSZMm+TrRPDfGxsbo16+f2uTxf/75J8fyY8eOBQB50vmhQ4fkeT0ffPABLC0t8zNcWebbtNSoUUNj2cynIXOTkJCQZQL5m3L6rmqjTp062LZtm3zM3/ysM5IsIG9x51VejzvlPyZSRDlo1KgR+vfvDwC4evWqVvdJy0gcAGhcdfj69evy6Y3C7PDhw7hw4UKO+/ft24dr164BSF+1u2rVqmr7M1/inbG0RGHTt29feXvRokUay2Y+5Zu5niFl/sw13b+tY8eO8oUBq1evxq+//irvK6jTeoD6XCZNI56nTp3Kc0Ly/fff57gvLS1NvioPAPr165entoH0CzkyEs43P+tBgwbJI9JLly7N9xFnbY875T8mUkQafPvtt/Kl3suWLcu1fKdOneTyP//8c7Z/KO7du4e+ffsWif/5qVQqDBgwIMsVTkD6JdsfffSR/Dy7NXzGjRsHZ2dnAOlzc7788sscL28H0k+HbtmyBT///LPy4LU0fPhw2NnZAUhPDDNPcM5s7ty5cvJrZ2eHESNG5GtcDx48wKRJk+RTidl5/fq1fHoOgMY1vyRJwpgxYwCkn3rKmOzt7u4ury1WEDLfmmX27NnZXtl34cIF9OvXL9dTdW/6+++/1ZKlDGlpafj888/lESs3Nzd5zbLMsRw8eFDj6V0/Pz/51OCbn3WVKlUwfvx4AOlXr3bp0iXLumpvOn/+fJYkVt/HnfIflz8g0qBmzZoYOXIkVq5cqdVkVnt7e3h5eWHNmjWIj49H06ZNMXbsWNSvXx8pKSk4ffo01q1bhxcvXmDgwIHYvHlzAbwL3fXt2xfbtm2Dm5sbPvroI7i7u0OlUuHkyZPw9fWV/wj26dMn2wVDzczMsHv3brRp0wZxcXH47rvvsGHDBvTr1w8NGjSApaUlXrx4gejoaISGhuLIkSNISEhQS9Dym7m5OdatWwdPT0955OzAgQMYOHAgKlasiIcPH2LTpk04deoUgPQ5K+vWrcv3ieYpKSlYunQpli5dikaNGqF169aoU6cOrK2tkZSUhNu3b8PPz0/+g1utWjUMGjRIY5vDhw/H9OnT1ZKXghyNAtK/K46Ojrhz5w7OnDkDFxcXjBw5EjVq1MCLFy9w/PhxbNq0Ca9evcKwYcPkRV1z07BhQyQkJGDSpEnYvXs3+vXrB1tbW0RHR2Pjxo0ICwsDkD6Pce3atVlOywYEBGDWrFmwtbVFly5d0LBhQ9jb28PIyAgPHjzAwYMH1U51vzlHCkif83X+/HkcOnQIoaGhqF27Nnr06IHWrVujYsWKSEtLk+/ZFxAQgBs3bsDY2FjtPof5cdwpnxXE8ulEhQ2yuUVMTu7fvy/f8yvjkdMtYoRIv29cs2bNstwDLONRunRpsX79+jzdImbYsGEaY8ytrcxyu41N5lvEBAQEiEmTJuX4XgCInj175nhPsQzh4eEaP5PMD0mSxIwZMxS9R13s3btXWFtba4zN2tpa7N27V2M7+rpFTGRkpFafF5B+f7zw8HCt2s18/C0sLERiYmKudfLyXRQi98/gzJkzwsbGJsf3Y2xsLBYuXCgCAgLk12bOnJltWxn7PTw8xMWLF4Wzs3OO7VpZWQl/f/9s22nbtq1Wn3WZMmU03iInNTVVTJo0Sb53YW6PNz+j/DrulH84IkWUi4oVK2LixImYP3++VuWtrKxw/PhxrFy5En5+frh69SpSU1NRuXJldOnSBePHj4eLi4tWc64Kg++//x7vvfceVq1ahZCQEDx69AhWVlZo1KgRPvroI63mmlSvXh0hISE4dOgQtm7dipMnT+L+/ftITEyEmZkZKleuDFdXV3h4eOD999/PMteqIHh6euL27dv49ddfsW/fPly/fh1xcXEoW7YsatWqBU9PT3z88ccFdqWek5MTbt26hYMHD+LkyZO4cOEC7ty5g8TERJQqVQr29vZ455130LdvXwwYMEDjauOZde7cWR7lGTx4cLbLAOS3Ro0a4cKFC1iyZAn27t2LqKgolChRApUqVUK7du0watQouLu7IzAwME/t1q1bF2FhYVixYgW2b9+OiIgIpKSkwNHREd27d8ekSZNQsWLFbOvu2bMHR44cwfHjxxEaGorw8HA8fvwYQgiULVsWtWvXRseOHTFy5EiNV/yVLFkS33//PT799FOsWbMGAQEBuHnzJp4+fQojIyOUL18etWrVQrNmzdClSxe0adNGrX5+HXfKP5IQeTwJTURERVavXr3k+VGhoaF6u2ehoWRcWevh4ZHnxItIHzjZnIiomIiOjsbevXsBpF/+X9STKKLCgIkUEVExMWvWLHk9tIkTJxo2GKK3BE+uEhG9pcLDwxEeHo7ExETs3bsX69evB5B+a5YBAwYYODqitwMTKSKit9SGDRswe/ZstdfMzMyyvfyfiHTDXxIR0VtOkiRUrlwZ/fr1w+nTp9GoUSNDh0T01uBVe0REREQ64ogUERERkY6YSBERERHpiIkUERERkY6YSBERERHpiIkUERERkY6YSBERERHpiIkUERERkY6YSBERERHp6P8Ac475M6eUERYAAAAASUVORK5CYII=\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np2/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_dSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np3/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing 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116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 26.97322242838122Worker iter: 100, fitness 26.916688094770763\n", - "\n", - "Worker iter: 100, fitness 27.091534904813045\n", - "Worker iter: 100, fitness 26.852259900583405\n", - "Worker iter: 100, fitness 27.135104681638236\n", - "Worker iter: 100, fitness 26.888030409838002\n", - "Worker iter: 100, fitness 26.846570309814677Worker iter: 100, fitness 26.933744690883536\n", - "\n", - "Worker iter: 200, fitness 26.41661681759701\n", - "Worker iter: 200, fitness 26.43494394823901\n", - "Worker iter: 200, fitness 26.402517159242628\n", - "Worker iter: 200, fitness 26.402517159242628\n", - "Worker iter: 200, fitness 26.402517159242628Worker iter: 200, fitness 26.424930948063356Worker iter: 200, fitness 26.41032218834833\n", - "\n", - "\n", - "Worker iter: 200, fitness 26.400182526650838\n", - "Duration: 27.686976088996744 s\n", - "f1 = 0.4623, mu2 = 0.5953, a3 = 0.9338\n", - " fun: 26.399505899908867\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 1894\n", - " nit: 62\n", - " success: True\n", - " x: array([0.46229325, 0.5952685 , 0.93378751])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_dSPN_np3/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007142540125641972 seconds\n", - "Created connection matrix 0.005885613994905725 seconds\n", - "Created gap junction connection matrix 7.324997568503022e-05 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 6655, at 0\n", - "Created distance histogram (optimised) in 0.005866280989721417 seconds\n", - "Saving cache to networks/FS_to_dSPN_np3/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to dSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.8480492813141683\n", - "P(d<0.00015) = 0.7494949494949495\n", - "P(d<0.00025) = 0.46995636119503187\n" - ] - }, - { - "data": { - "image/png": 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jzz//vFWLjqNKrneUnp6O9PR0m+99++23rV5/+umnj+zKWrx4MX777TfutUQiKTWd3hHDhw+3CoBr167F1q1bK7xn48aN2LBhg83POHz4MCIjIzF79my7Q9P8+fPx559/Wh174YUX7CqjpkkkEnz44Yfca41Gg71799ZgjQipYTW7gDgh1evh7U4aNmzolHJLltmxY0e2ePHiCvcsy87OZl9//TWTyWRW90okEnbv3j2n1Mli2bJlVs9o2bIl27BhA7t48WKp7VwMBkOp+0eMGGF1v6enJ1u+fHmpa4uKitgHH3xQal+8RYsWOfX9MMbY4sWLrZ7h6urKZs6cyYqLi62uU6vVbMaMGczV1ZUBKLVVSXnbnaxatYq7RiwWs+HDh7O//vqLFRYWllun06dPs0GDBpXajmTgwIEVvhd7N9K1ly3bnZRFq9VWuDE0bXdC6hMeY4xVVRAjpLZJT0+3WmW5YcOGdrW0lKe8QdSBgYGIjY2Fn58f3N3doVAokJqaiuvXr8NkMlldKxQK8euvv+Lpp592uD4lKZVKREdH27SCdlpaGiIiIqyOKRQKdOnSBRcuXLA67uvri4SEBHh5eSErKwsnTpwotUXGiy++iE2bNjn8Hh7GGMNzzz1n1YIFADKZDJ06dYKvry9yc3Nx4sQJbmHF4OBgvPfee1bjcQ4dOlRmF9nq1asxZsyYUsf5fD7i4uIQGhoKPz8/mEwm5OXl4dKlS6VWFweAli1b4uDBg/D19S33vUREROD27dvc67L+DhxRsnzL52KrJUuW4LXXXivz3MWLF9G8eXOn1JGQWq+Gwxoh1aqqWpbs2TC3rK9GjRrZvKlrZRw6dIj5+Pg8sh7ltWoUFBSw7t272/WeJk6cyEwmU5W9J61Wy5555hmb6hIQEMDOnj1r1WKEClqWdu3axTw8PBz6Ox06dCjLzc195PuorS1LjDGm1+tZVFQUtSyReo/GLBHiBNeuXcOFCxfw5ZdfokePHqUWmSwLn89H586dsWTJEly8eLFKBwF369YN//77L+bMmYPevXsjLCwM7u7uNi8r4OXlhQMHDmDjxo1o2bJludcJBAL06NEDx48fxw8//FBqCr0ziUQi/P7771i+fDkaNGhQ5jXu7u4YM2YMzp07Z9fSBX379kVOTg7++OMPvPHGG2jevLlNn5VMJsOIESOQlJSEzZs3V9iiVBe4urpi+vTpNV0NQmocdcMRUgWMRiNu3ryJ69evIyMjA0VFRTAajZBKpfDy8kJMTAxatWplU6iqje7cuYOTJ08iOzsbSqUSPj4+CAkJQZcuXZyyUre9GGM4efIkrly5gpycHPj4+CAsLAxdu3Z1ypIFwIPuyGvXriE1NRVyuRxKpRIuLi7w8PCAn58fWrRogdjY2CoNiISQmkFhiRBCCCGkAvQrECGEEEJIBSgsEUIIIYRUgMISIYQQQkgFKCwRQgghhFSAwhIhhBBCSAUoLBFCCCGEVIDCEiGEEEJIBSgsEUIIIYRUgMISIYQQQkgFKCwRQgghhFSAwhIhhBBCSAUoLBFCCCGEVIDCEiGEEEJIBSgsEUIIIYRUgMISIYQQQkgFKCwRQgghhFSAwhIhhBBCSAUoLBFCCCGEVIDCEiGEEEJIBSgsEUIIIYRUgMISIYQQQkgFKCwRQgghhFSAwhIhhBBCSAUoLBFCCCGEVIDCEiGEEEJIBSgsEUIIIYRUgMISIYQQQkgFKCwRQgghhFSAwhIhhBBCSAUoLBFCCCGEVIDCEqn3GGMYP348fHx8wOPxcO7cuZquEiGEkFqEwhKp93bv3o3Vq1fjzz//RGZmJpo3b46kpCQ888wzCAkJAY/Hw44dO6qlLocPH0bbtm0hEonQqFEjrF692uZ7U1NTIZPJ4OXlVepcYWEhJk6ciODgYIhEIsTGxmLnzp3c+a+//hrt27eHTCZDQEAABg4ciGvXrlmVMWHCBERHR0MsFsPf3x8DBgzA1atXK/tWner8+fN46aWXEB4eDrFYjCZNmmDBggVV/tz8/HwMGzYMHh4e8PLywtixY6FSqSq8p1u3buDxeFZfr732mtU1Bw4cwBNPPAGZTIagoCBMnToVRqORO5+enl6qDB6Ph5MnT3LXbNu2DfHx8fDy8oJEIkHr1q2xbt06534AAI4dO4bOnTvD19cXYrEYcXFxmDdvntOf87ALFy6gS5cucHNzQ3h4OObMmfPIex71uV67dg3du3dHYGAg3NzcEBUVhU8++QQGg4G7xpbPVaVS4c0330RYWBjEYjGaNm2Kn376yXlvnlQ/Rkg9t3DhQtagQQOrYzt37mTTpk1j27ZtYwDY9u3bq7wet27dYu7u7mzSpEnsypUrbOHChUwgELDdu3c/8l69Xs/i4+NZv379mKenp9U5nU7H4uPjWf/+/dmxY8dYWloaO3z4MDt37hx3TZ8+fdiqVavYpUuX2Llz51j//v1ZgwYNmEql4q5ZsmQJO3LkCEtLS2NnzpxhzzzzDAsPD2dGo9Fpn0FlrVixgr399tvs8OHD7ObNm2zdunVMLBazhQsXVulz+/bty1q1asVOnjzJjh49yho1asReeumlCu9JTExkr776KsvMzOS+ioqKuPPnzp1jQqGQffHFF+zGjRvs8OHDLC4ujr3//vvcNWlpaQwA279/v1U5er2eu+bQoUNs27Zt7MqVKyw1NZXNnz/f5n9P9khJSWEbN25kly5dYmlpaWzdunXM3d2dLVmyxKnPKamoqIgFBgayYcOGsUuXLrFNmzYxsVhc4TNt+Vxv3rzJVq5cyc6dO8fS09PZb7/9xgICAthHH33EXWPL5/rqq6+y6OhodujQIZaWlsaWLFnCBAIB++2336rmAyFVjsISqddGjRrFAHBfDRs2LHVNdYWlKVOmsGbNmlkdGzp0KOvTp49N9w4fPpytWrWqVFhavHgxi4qKsvpB+ig5OTkMADty5Ei515w/f54BYKmpqTaXO336dNaqVSu2YsUKFh4eziQSCXv99deZ0Whks2fPZoGBgczf35999dVX3D2WYHD27FnuWEFBAQPADh06VO6z3njjDda9e3eb62avK1euMADs9OnT3LFdu3YxHo/HMjIyyr0vMTGRvfPOO+We/+ijj1h8fLzVsd9//525ubkxhULBGCv7M7FFmzZt2CeffGLXPVOmTGExMTFMLBazyMhI9sknnzzy39Jzzz3Hhg8fbtdz7LFo0SLm7e3NdDodd2zq1KmscePG5d5jy+dalvfee489+eSTFdbn4c+1WbNmbMaMGVbXtG3blk2bNq3CckjtRd1wpF5bsGABZsyYgbCwMGRmZuL06dOVLuvo0aOQSqUVfm3YsKHc+0+cOIGePXtaHevTpw9OnDhR4XMPHjyIrVu34scffyzz/O+//45OnTph4sSJCAwMRPPmzTFr1iyYTKZyyywqKgIA+Pj4lHlerVZj1apViIyMRHh4eIX1e9jNmzexa9cu7N69G5s2bcKKFSvwn//8B/fu3cORI0cwe/ZsfPLJJ0hOTrar3LLeQ3n1t2jWrFmFf1/9+vUr994TJ07Ay8sL8fHx3LGePXuCz+c/su4bNmyAn58fmjdvjo8++gjFxcXcOZ1OBzc3N6vrxWIxtFotzpw5Y3X82WefRUBAAJ588kn8/vvv5T6PMYYDBw7g2rVr6Nq1a4V1e5hMJsPq1atx5coVLFiwAMuWLauwm+3s2bP4+++/kZiYWO41d+7ceeT/lVmzZpV7/4kTJ9C1a1cIhULuWJ8+fXDt2jUUFBSUeY89n6tFamoqdu/eXe57Ke9zfeKJJ/D7778jIyMDjDEcOnQI169fR+/evct9T6R2c6npChBSkzw9PSGTySAQCBAUFORQWfHx8Y8cHB4YGFjuuaysrFLnAwMDoVAooNFoIBaLS92Tl5eH0aNHY/369fDw8Ciz3Fu3buHgwYMYNmwYdu7cidTUVLzxxhswGAyYPn16qevNZjPeffdddO7cGc2bN7c6t2jRIkyZMgVqtRqNGzfGvn37rH5g2cJsNmPlypWQyWRo2rQpunfvjmvXrmHnzp3g8/lo3LgxZs+ejUOHDqFDhw52lW3x999/Y8uWLfjrr78qvG7nzp1W41EeVtZnbpGVlYWAgACrYy4uLvDx8UFWVla597388sto2LAhQkJCcOHCBUydOhXXrl3Dtm3bADz4oT9//nxs2rQJL7zwArKysjBjxgwAQGZmJgBAKpXiu+++Q+fOncHn8/Hrr79i4MCB2LFjB5599lnuWUVFRQgNDYVOp4NAIMCiRYvQq1evCj+Th33yySfcnyMiIjB58mRs3rwZU6ZMsbouLCwMcrkcRqMRn3/+OcaNG1dumSEhIY/8v1JR0M3KykJkZKTVMcv/naysLHh7e5e6x5bP1eKJJ55ASkoKdDodxo8fz11n8ajPdeHChRg/fjzCwsLg4uICPp+PZcuW2R1USe1BYYkQJxGLxWjUqFG1PvPVV1/Fyy+/XOE3YbPZjICAACxduhQCgQDt2rVDRkYG5s6dW2ZYmjhxIi5duoRjx46VOjds2DD06tULmZmZ+Pbbb/HCCy/g+PHjpX5jr0hERARkMhn3OjAwEAKBAHw+3+pYTk6OzWWWdOnSJQwYMADTp09/5G/yDRs2rNQzHDF+/Hjuzy1atEBwcDB69OiBmzdvIjo6Gr1798bcuXPx2muvYcSIERCJRPj0009x9OhR7jPy8/PDpEmTuHLat2+P+/fvY+7cuVZhSSaT4dy5c1CpVDhw4AAmTZqEqKgodOvWzeb6btmyBd9//z1u3rwJlUoFo9FYZjA/evQoVCoVTp48iQ8//BCNGjXCSy+9VGaZLi4u1f5/xZbP1WLLli1QKpU4f/48PvjgA3z77bdW4fBRn+vChQtx8uRJ/P7772jYsCGSkpIwceJEhISElGo9JnVEDXcDElLj5s2bV+ZYJQvYOGYpKSmJSSSSCr/Wr19f7v1dunQpNZZl5cqVzMPDo9x7PD09mUAg4L74fD4DwAQCAVuxYgVjjLGuXbuyHj16WN23c+dOBsBqzAdjjE2cOJGFhYWxW7duPfL96nQ65u7uzjZu3PjIay0sY5ZKGjVqFBswYIDVsZLjem7fvs0AsJSUFO68ZUzVw2OWLl++zAICAtjHH39sU32aNm1a4d9X3759y713xYoVzMvLy+qYwWBgAoGAbdu2zabnM8aYSqViAEoNvDabzSwjI4MVFxdz46NOnTpVbjk//PADCwoKqvBZY8eOZb1797a5bn///TcTCATsq6++YqdPn2bXr19nM2bMKDUu7mFffvkli42NLff87du3H/l/ZebMmeXeP2LEiFL/Zg4ePMgAsPz8/ArrZu/napksUNFEhpKfa3FxMXN1dWV//vlnqWtsGX9IaidqWSLESRzthuvUqZPVdH4A2LdvHzp16lTuPSdOnLAae/Tbb79h9uzZ+PvvvxEaGgoA6Ny5MzZu3Aiz2cz9Bn39+nUEBwdzXWiMMbz11lvYvn07Dh8+XKqLoyzswQQR6HS6R17rCH9/fwAPukratGkDAGV+zpcvX8ZTTz2FUaNGYebMmTaV7Ug3XKdOnVBYWIgzZ86gXbt2AB6MHzObzXZ1H1reS3BwsNVxHo+HkJAQAMCmTZsQHh6Otm3bVljOw2U8zGw22/X39ffff6Nhw4aYNm0ad+z27duPvO9Rz3G0G65Tp06YNm0aDAYDXF1dATz4v9K4ceMyu+BKsvdzNZvNMBgMMJvNEAgE5V5jeb8GgwEGg6FUa5VAIIDZbK6wbqQWq+GwRkiNK6tlSalUsrNnz7KzZ88yAOy///0vO3v2LLt9+3aV1cOydMAHH3zA/v33X/bjjz+WmpK8cOFC9tRTT5VbRlmz4e7cucNkMhl788032bVr19iff/7JAgICrGacvf7668zT05MdPnzYaip6cXExY+zBlOpZs2axf/75h92+fZsdP36cPfPMM8zHx4dlZ2fb/B4r07LEGGMdO3ZkXbp0YVeuXGGHDx9mCQkJVi1LFy9eZP7+/mz48OFW9c/JybG5bpXRt29f1qZNG5acnMyOHTvGYmJirJYOuHfvHmvcuDFLTk5mjDGWmprKZsyYwf755x+WlpbGfvvtNxYVFcW6du1qVe6cOXPYhQsX2KVLl9iMGTOYq6urVevm6tWr2caNG9m///7L/v33XzZz5kzG5/PZypUruWtmzZrF9u7dy27evMmuXLnCvv32W+bi4sKWLVtm8/v77bffmIuLC9u0aRNLTU1lCxYsYD4+Plb/xn744Qf2+++/s+vXr7Pr16+z5cuXM5lMVqUzvwoLC1lgYCAbMWIEu3TpEtu8eXOp5Qq2bdtWanbcoz7X9evXsy1btrArV66wmzdvsi1btrCQkBA2bNgw7hpbPtfExETWrFkzdujQIXbr1i22atUq5ubmxhYtWlRlnwmpWhSWSL1XVlg6dOiQ1ZIClq9Ro0ZVaV0OHTrEWrduzYRCIYuKimKrVq2yOj99+vQKuwzLCkuMPehO6dChAxOJRCwqKorNnDnTqluhrPcKgHt+RkYG69evHwsICGCurq4sLCyMvfzyy+zq1atWz2nYsCGbPn16ufWrbFi6cuUK69SpExOLxax169Zs7969VmFp+vTpZda/os/KGfLy8thLL73EpFIp8/DwYGPGjGFKpZI7b5nib6nnnTt3WNeuXZmPjw8TiUSsUaNG7IMPPrBaZ4kxxrp37848PT2Zm5sb69ChA9u5c6fV+dWrV7MmTZowd3d35uHhwRISEtjWrVutrpk2bRpr1KgRc3NzY97e3qxTp05s8+bNVtc86t8TY4x98MEHzNfXl0mlUjZ06FA2b948q39j33//PWvWrBlXlzZt2rBFixYxk8lk46dYOefPn2dPPvkkE4lELDQ0lH3zzTdW51etWsUebg941Oe6efNm1rZtWyaVSplEImFNmzZls2bNYhqNhrvGls81MzOTjR49moWEhDA3NzfWuHFj9t133zGz2ezkT4FUFx5jjFVrUxYh5LFUXFwMX19f7Nq1y64BxKTmjBo1Cjwez66V4gmpj2jMEiHEKQ4dOoSnnnqKglIdwRjD4cOHy5z1SAixRi1LhBBCCCEVoBW8CSGEEEIqQGGJEEIIIaQCFJYIIYQQQipAYYkQQgghpAIUlqoJYwwKhQI0np4QQgipWygsVROlUglPT08olcqargohhBBC7EBhiRBCCCGkAhSWCCGEEEIqQGGJEEIIIaQCFJYIIYQQQipQp8PS+vXrMWHCBMTHx0MkEj1yQ0iFQoFJkyahYcOGEIlEiIiIwAcffACVSlXm9WazGQsXLkSLFi0gFovh7++Pl156Cbdu3aqid0QIIYSQ2qZO7w0XERGB27dvw8/PDxKJBLdv38aqVaswevToUteq1Wo8+eSTOHfuHHr37o02bdrg7Nmz2Lt3L9q3b4+kpCS4ublZ3fPqq69i+fLlaNasGf7zn//g/v37+PnnnyGVSnHy5EnExMTYXFeFQgFPT08UFRXBw8PD0bdOCCGEkGpSp1uWli9fjvT0dMjlcrz22msVXjtnzhycO3cOU6dOxZ49e/DNN99gz549mDp1Kk6fPo158+ZZXX/o0CEsX74cXbt2RUpKCmbPno1169Zhx44dyM/Px5tvvlmVb40QQgghtUSdDks9e/ZEw4YNH3kdYwzLly+HVCrFp59+anXu008/hVQqxfLly62OL1u2DADw5ZdfQigUcsf79euHbt26Ye/evbhz544T3gUhhBBCarM6HZZsdePGDdy/fx+dO3eGRCKxOieRSNC5c2fcunULd+/e5Y4fPnyYO/ewPn36AACOHDlStRUvB2MMBw4cqJFnE0IIIfVNvQlLAModY2Q5brlOrVYjMzMTkZGREAgEj7y+LDqdDgqFwurLWX766Sf07NkTw4YNQ1FRkdPKJYQQQkhp9SIsWQKFp6dnmectA64t19l7fVm+/vpreHp6cl/h4eGVq/xD7t+/j0mTJgEANm7ciFatWuH48eNOKZsQQgghpdWLsFQTPvroIxQVFXFfJbv4HBESEoJVq1ZxQe727dvo2rUrpk+fDqPR6JRnPI4MBgMKCgpw9+5d3Lt3DyqVijY1JoQQYhOXmq5AdbAEi/JagixdZJbr7L2+LCKRCCKRqHIVfoQXX3wRrVq1wujRo3Hq1CmYzWbMmDEDe/fuxYYNGxAVFVUlz60rGGPQarVQqVRQqVQoKCiAUqmETqeDyWQCAAiFQshkMgQEBMDLywseHh7g8+l3B0IIIaXVi7D0qDFGD49pkkgkCA4ORlpaGkwmU6lxS48aA1UdLDP7fvnlF6xbtw5msxknT55Eq1atMHfuXIwZM6bKwlptYzabUVxcDJVKBaVSifz8fBQXF0On04ExBhcXF4hEIigUCvz999+Ij49HREQEFAoF8vLy4OLiAolEgoCAAHh7e8PT0xMuLvXivwYhhBAb1IufCDExMQgJCcHx48ehVqutZsSp1WocP34ckZGRVuOKEhMTsXnzZhw/fhxdu3a1Km/Pnj0AUOp4dXNxccEbb7yBTp06YcaMGbh//z5UKhVef/11bN26FdOmTUN4eDgkEgn39TiEAKPRyLUaWcKRVquFXq8Hj8eDq6srRCIRpFIp+Hw+NBoNVq5ciXXr1nFdlYmJiRg3bhyaNGkCg8GA4uJi3LhxA3w+H+7u7vD394ePjw88PT3rTegkhBBStrr/k9MGPB4P48aNw4wZM/Dll1/im2++4c59+eWXUKlU+Pjjj63uGT9+PDZv3oxPP/0U+/bt49Za2rVrFw4fPozevXvbtMZTVRMIBIiPj8emTZvw7bff4o8//gAAHDx4EJcuXcLkyZPRvHlzuLi4QCgUQiqVwtPTE1KpFBKJBO7u7mXO+KtNdDodF44KCwtRVFQEnU4Ho9EIHo8HkUgEd3d3eHp6gsfjAQC0Wi0UCgWSkpLw008/IScnx6rMI0eO4MiRI+jQoQNGjhyJuLg4iEQiuLi4wGQyIS0tDenp6RCLxfDx8YGvry+8vLzg7u5eEx8BIYSQGlSntztZvnw5jh07BgC4ePEiUlJS0LlzZzRq1AgA8OSTT2LcuHEAHrQgde7cGefPn0fv3r3Rtm1bpKSkcNudHDlyBGKx2Kr8h7c7yczMxJYtWyCVSnHixAnExsbaXFdnb3dy9+5dXL58Gf7+/lbH9+3bh1mzZkGpVAIA+Hw+xowZg9GjR8NsNkOv18NgMAAAXF1dIRQK4eHhAU9PTy48ubu719j4HcaYVZdaQUEB1Go1tFotGGMQCAQQiURwc3OrsJXs0KFDWLx4sdU+fgKBAC1btkRqair3+VhER0cjMTERPXr0QOPGjQE86N7TaDTQaDQwm80QiUTw8vKCv78/vLy8IJVKuXBGCCHk8VWnw9Lo0aOxZs2acs+PGjXKamPdoqIifP755/j111+RlZWF4OBgDBkyBNOnT4dMJit1v9lsxg8//IClS5ciNTUVUqkUPXv2xMyZMxEdHW1XXasrLAFAVlYWPvvsM6SkpHDHmjdvjq+++gphYWEAHoQSg8EAvV4PvV7PtdJYurAsAcrd3R0SiQRisbhKgoHJZIJarYZKpYJCoUBBQQE0Gg30ej0YY3B1dYWbmxuEQqFNLWDFxcVYsWIFNmzYYDU7MCEhARMnToSXlxdOnz6N3NxcbNu2rVSLU7t27fDaa6+hTZs2Vsctg8Y1Gg2MRiPXShcYGEgDxAkh5DFXp8NSXVKdYQl4EELWrl2Ln376iZsB5u7ujg8++ABPP/10mcHHEqB0Oh30ej1MJhN4PB6EQiHXqiKTybgWKDc3N7sDlF6v57rUioqKUFhYCK1Wa9WlJhKJIBQK7Srbsqr5vHnzkJ2dzR0PDg7G+++/j8TERPB4PBQVFeHo0aPo0qUL3N3d8eeff2LVqlW4f/++VXnt2rXDq6++inbt2pVZD51Ox4U6ywBxf39/eHt7w8vL67EYG0YIIeQBCkvVpLrDksXly5fxySefWK3z1KtXL3z00Uc21cNsNlsFKLPZzAUosVjMBShLC1TJwdCPmsLP5/Ph5uYGkUgEV1fXSn8W6enpmDNnDk6dOsUdc3V1xahRozB69Gi4ublxx0uGJcvSD0ajETt37sTKlStx7949q7Jbt26NcePGoUOHDuWGN4PBAI1GA61WCx6PZzVA3MvLiwaIE0JIHUdhqZrUVFgCHnRNffvtt/j999+5Y4GBgZgxYwbatWtn97MtY5/0ej03PZ/P50MkEnEBisfjcVP4S3apWVqOnDGovLi4GMuXL8fGjRututw6d+6MyZMnl7lqellhycJoNGLPnj1YsWJFqU2SW7ZsiXHjxqFTp04VtniZTCZunBMAuLm5wcfHB35+fjRAnBBC6igKS9WkJsOSxf79+zFr1ixuUU0ej4fRo0djwoQJDncbmUwmLkBZwlHJLjVnjudhjGH//v2YN2+e1ZijkJAQvP/+++jatWu5gaaisFTyvezbtw8rVqxAWlqa1bmmTZvi1VdfxZNPPvnIbkKz2QytVovi4mJugLiHhwe3EKZMJqMB4oQQUgdQWKomtSEsAQ8Gf0+fPh1nzpzhjjVt2hRfffUVGjRo4HC9qlpaWhrmzJmD06dPc8eEQiFGjRqFUaNGWXW5lcWWsGRhMplw8OBBLF++HDdv3rQ617hxY7z66qvo2rWrTUGQMQadTofi4mIYDAZugLhlIUwPD49av4QDIYTUVxSWqkltCUvAgxCwbt06LF68mBv8LRaLMXnyZDz77LO1srVDrVZzXW6WOgMPloeYPHkyN8vvUewJSxZmsxmHDx/G8uXLcf36datzMTExGDt2LJ566im7Ws/0ej23ynjJAeKWJQmqavYhIYQQ+1FYqia1KSxZ/Pvvv5g2bZrV+JwePXrg448/tjlIVDXGGPbu3Yv58+dDLpdzx0NCQjB58mS7V1GvTFgqWZcjR45g+fLluHr1qtW5qKgojBs3Dj169LC7hchoNKK4uBharRYAuLFfPj4+kMlk3AKi1PJECCE1w2lhKScnBxcuXEB6ejry8/Oh0Wi4b/gRERFo1aqVQz/Y67raGJYAQKPR4LvvvsOOHTu4Y4GBgfjiiy8QHx/vYC0dc/PmTcydOxf//PMPd8yeLreyaH/4AaLVq6EbPRpub75ZqXoxxnD8+HEsW7YMly9ftjoXERGBsWPHolevXpUaB2bpris5eN7FxQVubm7w8vLiVl+XSqXcqvKEEEKqlkNhaf/+/di2bRt2796N27dvP/L6iIgI9OnTB8899xx69uxZr7oZamtYsjh48CBmzpyJoqIiAA8Gf48cORKvvfaaQ9P6K0OtVmPZsmXYtGmTVZdbly5d8P7779vc5VbK8uXATz/9/+vXXgP+t8J7ZTDGcPLkSSxbtgwXLlywOtegQQO88sor6Nu3r8OD5y1LN5RccsGy952Pjw8XnqjrjhBCqobdYamgoAA//fQTFi9ejIyMDO64LcWU/EYeEhKCN954A6+99hq8vb3tqUKdVNvDEvCgdXD69OlWg6ebNGmCr776qlr2wWOMYc+ePZg/fz5yc3O546GhoZg8eTK6dOlS+cIfDkoWDgYm4EG9T58+jWXLluHs2bNW50JDQ/HKK6/gP//5j9MWqjSZTFx4MhgMVuteUdcdIYQ4n81hSalU4ttvv8X8+fOhUqmswpG7uzvat2+PJk2acJuOenh4oKioCHl5ecjPz8eVK1dw5swZFBcX///DeTxIJBK89957mDx5cplbjjwu6kJYAh4MZl6/fj0WLVrErV3k5uaGyZMnY8CAAVXWcnHz5k3Mnj3baosWkUiEUaNGYeTIkZXqcuOUF5QsnBCYLP755x8sX77cqusQeLCS+JgxY/DMM884vaXO0nVn6b6jrjtCCHEum8LS2rVrMXXqVOTk5IAxBh6PhyeeeAKDBg1Ct27d0LJlS5tmAplMJly4cAFJSUn49ddfcfz4ca68gIAAzJkzByNGjHDKG6tt6kpYsrh69SqmTZtm1b3avXt3TJs2DV5eXk57jkqlwrJly7B582bndrlZPCooWTgxMAHA2bNnsXz5ciQnJ1sdDwwMxOjRo/Hss89W2crejDEYjUbodDpotVqYzWYIBAIIhULIZDJ4e3tT1x0hhNjBprBkCUIeHh4YP348JkyYYPdGsmW5desWfvrpJyxduhQKhQJ8Pt9qJebHSV0LS8CDwd/z5s3Dtm3buGMBAQH44osv0L59e4fKZoxh9+7dmD9/PvLy8rjjoaGh+OCDD/Dkk086VD4A24OShZMDEwBcuHABy5cvx99//2113N/fH6NGjcLAgQMdazWzEXXdEUJI5dkUljw8PPDBBx/g7bffrpIp5QqFAvPnz8e3337LrS79uKmLYcni8OHD+PLLL60Gfw8fPhxvvPFGpbqUUlNTMWfOnFJdbqNHj8bIkSOd0+Jib1CyqILABACXLl3CihUrcPToUavjvr6+GDlyJAYNGlQtocnCsmVNya47y3Y0Xl5e8PLygkQioa47QgiBjWEpJycHAQEBVV4ZuVz+2C4vUJfDEvDg72b69OlWm9XGxcXhq6++QkREhE1lqFQqLFmyBD///LNVl1tiYiImTZqE0NBQ51S2skHJoooCE/Cge3P58uU4fPiw1XEfHx8MHz4c/fv3h5+fX5U8uyKMMRgMBuj1equuu5Kz7jw8PODl5UUtT4SQeocWpawmdT0sAQ9aIzZu3IgffviB6y4ViUR4//338dxzz5U79oUxhl27dmHBggVWXW5hYWGYPHmyc7rcLBwNShZVGJgA4Pr161ixYgUOHDhQ6lxUVBTat2+P9u3bo127djU28eHhrjs+nw+pVIrAwED4+vrC09PTqXv+EUJIbUVhqZpYwtLx4GBInfADxmQywWAw1Mhv+dcMBkxTKJBeonWom1CITzw84PXQe7thNGKOUomzBgN3TARgjESCEe7uEDlzcLFa/eDLWSSSB19VKNVoxAq1Gvt1OpT1H5EPIM7FBe2FQrQXCtHa1RVuNTQgmzHGffF4PPB4PPAFAvD5fPArUSfXoCA0eWjWICGE1EYUlqqJJSwdBiCt6co4gRbAfAC/lDjmB+ALAB0AqAAsAfAzAFOJa7oBmAQgpDoqWYekAdgJ4DSAKwDM5VznCqAFgAQA8QCaA3DO6k3VzzU0FC3v3avpahBCyCNVaVg6fvw4kpKScO9/3xBDQ0PRtWtX53a71BGPU8tSSUd0OnypUKCwxD+j/m5uSNbrkWf+/x/54QIBJkul6FxF0+UB1MmWpbKozGakGAw4rdfjtF6PVJOp3GvdeTy0cXV90PLk6ooYF5dKtfI44uEWJz6fz31VtCwBtSwRQuqKKglL165dw4gRI3DmzJkyz7dt2xbr1q1DXFycsx9daz0OY5bKk5ubi88//xwnT54sdU4kEuGVV17B8OHDq2xdIStOGrPEJkwA79VXnVAhx+Xl5eHMmTM4ffo0Tp06ZbVy/sM8PT0RHx/PjXlq0KBBta2jZFkcs7i4GEajESKRCD4+PggICICPj0+1zvYjhBBncnpYunfvHuLj4yGXy8EYQ3BwMMLDw6FSqZCens6t4B0QEIB//vnH8UUH64jHOSwBDwZ/b968GQsXLoThf+OTunfvjkmTJiE4OLh6K+NgYNK98goKBw2CWCyGVCqtdYOY79+/j9OnT+Off/7BqVOnrAbNPywwMJALTwkJCdUyqxV4EJy0Wi3UajXMZjPEYjF8fX3h7+8PHx8fWo6AEFKnOD0sjR8/HsuXL0fLli2xaNEiPPHEE9w5jUaDn376CR9++CGMRiPGjRuHJUuWOPPxtdbjHpYsUlNTsXv3brRv3x4dOnSouYpUMjCFzJgBr8mTkZ2djXv37kGpVMLV1RUymcxpe7s5E2MMaWlpOH36NE6fPo0zZ85AqVSWe32DBg2QkJCA+Ph4xMfHO3U19orqqNFooP5fF6lYLIa/vz/8/Pzg7e1d7Rs1E0KIvZwelsLDw5GVlYXU1NRyN1+dOnUq5s6di5CQEG480+OuvoSl2sJkMkGzcCGk69fbfE/IjBkI/vRT7rXBYEBOTg7u3buHwsJCAIBMJque7sRKMplMuHbtGk6dOoXTp0/j3Llz0Ol0ZV7L4/EQGxvLddm1adMG7u7uVVo/s9kMjUbDtTBLJBIEBATA19cX3t7eNT4GjxBCymJzWHrxxRexcOHCR/5wtqwAnJ2dXe41W7duxdChQyEUCqHVau2rcR1FYan6MMa4BU4D//gDOTNmPPKeh4NSSWazGbm5ubh//z7kcjmMRiNkMhnc3Nxq/b5qer0eFy9e5LrsLl26ZLUgaEkCgQDNmzdHQkIC2rdvj+bNm1dpd5nJZEJxcTE0Gg2t4UQIqdVsDkt8Ph8+Pj6YM2cOXnnllXKvCw8PR2ZmJm7duoUGDRqUeY2lZSk0NBR3796tXM3rGApL1Sc3NxdSqRStW7eGRCJB5pdf4v5nn5V7fUVBqSTGGAoLC5GZmYmsrCxotVpIJBJIJJJaH5os1Go1zp07x3XbXb9+HeV9CxCJRGjTpg3i4+ORkJCAuLi4KgswRqMRxcXF0Gq1EAgEkMlkXHDy8PCoM58vIeTxZHNY6tOnD/bt2wcej4fExEQsWbIEMTExpa6zjFlq06YNFi9ejISEBO6cVqvF0qVL8cEHH8BoNGLs2LFYunSp895NLUZhqXoUFRWBz+ejVatW8Pb25o6XF5hsDUoPU6lUyMrKQkZGBoqLi7ltQepaN1JhYSH++ecfruXpzp075V4bFBSEXr16oU+fPmjcuHGVBRiDwYDi4mLodDq4uLjAw8MDQUFB8PHxgVQqpeBECKl2do1ZWr9+Pd5//33I5XK4ublh2rRpmDp1qtXA14yMDLRt2xa5ubkAgJCQEISFhUGtViMtLQ3FxcVgjMHX1xcpKSkIDw93/ruqhSgsVT21Wg2dTofmzZuXOQPv4cBU2aBUklar5cY1KRQKrlWkrg5azs7O5lqdTp8+jZycnDKva9CgAfr06YPevXsjMjKyyuqj1+uhVqthMBggFArh6emJwMBA+Pj4QFIDa2ARQuonuwd45+fnY9KkSVi7di14PB6aNWuGpUuXomPHjtw1//77L4YNG4Zz586VWUbLli2xbt06tGjRwqHK1yUUlqqWVquFUqlE48aNK/zhfX3KFCjmzoXHBx8gds4cpz3faDRCLpcjIyMD+fn5MJvN3Limuooxhjt37uD06dNISkpCcnJymeOdYmJi0Lt3b/Tu3dt5myGXQafTQa1Wc2s4eXt7c2s4icXiKnsuIYRUejbcwYMHMWHCBNy8eRN8Ph+vvfYavv76a6tNP5OSkpCUlMQtohcaGoouXbogMTHRObWvQygsVR2DwYD8/HxERkaicePGFY6ryczMxNKlSzF+/PgqWf/JbDYjPz8fGRkZyM3NhV6vh1QqhVgsrvPdR4WFhTh48CD27t2LM2fOlDnWqXnz5ujduzd69epVZf82LWs4FRcXw2QyQSwWc4tfent71+rZioSQusmhpQN0Oh0+//xzfPfddzCZTAgNDcX333+PgQMHOrGKjwcKS1XDbDZDLpcjJCQEzZs3f+RaSFUdliwYY1AoFNxg8OLiYri7u0MikTwWs7zkcjn279+PvXv34uLFi6XO83g8tG3bFr1790aPHj2qbD0nyxpOxcXFMJvNcHd3h5+fH/z9/WkNJ0KI0zhlnaWLFy/i1VdfxalTp8Dj8TBw4EAsXLgQISG0XaoFhSXnY4whNzcX3t7eaNWqlU1dXtUVlkpSq9XcYHC1Wg2hUAiZTFbnBoOXJyMjA/v27cPevXtx/fr1UucFAgE6dOiA3r17o1u3bpBKq2Yr6YfXcHJ3d0dAQAD8/Pzg5eVVKxcVJYTUDU5blJIxhh9++AGffPIJlEolPDw88M033+C1115zRvF1HoUl58vLy4O7uztatWpl1f1bkZoISxZ6vZ5bGdwya08mkz1WW3+kpaVh79692LNnT5kz64RCITp37ozevXujS5cuVTamy2QyQaPRQKPRgMfjWS1+6eXl9dgEVUJI9XD6Ct4ZGRl444038Mcff4DH46FTp05YtmwZmjRp4szH1DkUlpxLoVCAMYZWrVrB19fX5vtqMixZmEwmbjB4Xl4eTCYTPDw86vRg8IcxxnDt2jXs3bsXe/fuRVZWVqlrxGIxEhMT0bt3b3Ts2LHKQmPJxS8FAgG3+KWPjw8tfkkIsUmlw1Jqaipyc3MhkUgQExNT6hv9L7/8grfffhtZWVkQCoWYOnUqpk2b9lj9Fm0PCkvOY/nB16xZM7tnX9WGsGTBGEN+fj4yMzORnZ0NnU4HsVgMNzc3uLq61vkB4RZmsxmXLl3Cnj17sH///jI3/pXJZOjevTv69OmDdu3aVVmXWcnFL11cXCCTyRAUFARvb29a/JIQUi67wpLRaMSsWbPw448/cusoAYCrqyueffZZzJkzBxEREdxxhUKBKVOmYNmyZQCA2NhYLFmyBF27dnXeO6gjKCw5h16vR2FhIWJjYxEVFWX3D7faFJZKUigUyMrKglwuh1arhV6vB/Cg20okEkEkEj0WLSAmkwkpKSnYs2cPDh48CIVCUeoaHx8f9OjRA3369EHLli2r7H0bDAao1Wro9Xq4urpyi196e3vT4peEECs2hyWDwYD+/fvj4MGDZU4Z5vF48Pb2xrFjxxAXF2d17vjx4xg/fjz+/fdf8Hg8jB07FnPnzoWnp6dz3kUdQGHJcUajEXl5eYiIiKj01hu1NSxZmM1mFBcXQ6VSQaVSIT8/n2sJYYzBxcWFC1B1faaXwWBAcnIy9uzZgyNHjnADs0sKDAzk1nCKi4ursgBjWfxSr9dz+1sGBgbC29ubFr8khNgelr777jt88MEHAIAePXrg3XffRXR0NHJzc/Hbb79h4cKF0Ov1eOKJJ3Ds2LFS9xsMBsyaNQvffPMN9Ho9AgMDMX/+fLzwwgvOfUe1FIUlx1iWCAgKCkKLFi0qHRRqe1gqi1arhVqthkqlQmFhIYqKiqDT6WA0GsHj8biWJ6FQWGdbQ7RaLY4dO4a9e/fi2LFjXMtaSQ0aNOCCU1RUVJXUgzHGBSda/JIQYmFzWGrTpg0uXLiAp556Cnv37i31TfnHH3/EW2+9BR6Ph5s3b1p1x5V09epVTJgwAUePHgWfz4fRaHT4TdQFFJYqz7JEgJeXF1q1auXQD6y6GJYeZjQaufCkUChQUFAAjUYDg8EAxhhcXV25AFUXZ32pVCokJSVhz549OHnyZJmrhjdq1IgLTmFhYVVSj/IWv/T394ePjw8tfklIPWJzWJJIJNBqtVi2bBleeeWVUufz8/Ph5+cHHo+H3bt3o1evXhWWt2zZMkydOhX5+fmVq3kdQ2Gp8goKCiAUCtGqVSuHu24fh7D0MMZYqa47yz55ZrMZAoGAC091reuusLAQhw4dwt69e/HPP/+UOQSgWbNm3D51fn5+VVKP8ha/9PPzg4+PT537XAkh9rF5yolldopKpSrzvFqtLnVtRV599VUMGDDA1seTekqpVILH4yEuLq5ejXGzh2UdIYlEgsDAQERHR3P7qJXsulMqlVzXnWXck1AorNUDx728vPDcc8/hueeeQ25uLrdq+IULF7hrLl++jMuXL2P+/Plo3749+vXr5/TFL3k8Htzd3eHu7s4tfnn37l3cvXuXW/zS19cX3t7etPglIY8hm1uWEhMTcfToUTRu3BinT58u9Y3ozTffxKJFi8Dn85GdnW3X2jf1AbUs2U+j0UCtVqNp06YIDw93SpmPY8uSLUwmExeelEol8vPzodFooNfr62TX3f3797k1nMpaNVwkEqFr167o27cvnnjiiSpr+bEMyKfFLwl5vNkcln7++We8+OKL4PF4CAwMxMiRIxEZGYn8/Hz8+eefOHnyJADghRdewKZNm6q00pWxevVqjBkzpsJrnnrqKRw4cAAA8Pnnn+OLL74o99q0tLRyx2WVhcKSfSxLBERHRyMmJsZpA5fra1h6mKVbSaVSQa1Wo6CgAEqlEjqdDiaTCXw+36rrrjYPHE9LS8OuXbuwZ88ebtPukjw9PdGjRw/069cPrVq1qrKWtPIWvwwKCqIZdYTUcTa3F7/wwgs4ffo0vvvuO2RlZWHu3LncOUveatOmDRYvXuz8WjpB69atMX369DLP/fLLL7h8+TL69OlT6tyoUaPKDEVVtTEoefBDp6CgAOHh4YiOjq7VP6jrqpLdSgAQGRnJzQJTqVQoKipCYWEh1Go1DAYDgAetNWKxuNYtLBsZGYk33ngDr7/+Oi5cuIDdu3dj3759KCwsBAAUFRVh27Zt2LZtG4KCgtCnTx/069cPjRo1cmo9BAIBZDIZZDIZt/jltWvXkJmZiZiYGAQEBNC/ZULqKLtX8N63bx8WL16MkydPcit4N2nSBC+++CJee+21WveN9FH0ej1CQkJQVFSEe/fuITAwEMD/tywdOnQI3bp1c/g51LJkG7PZjNzcXAQEBKBFixZO//dELUu2M5vNVl13eXl5XHgSCATcauO1ccyT0WjEyZMnsXv3bhw+fBharbbUNY0aNULfvn3Rt29fBAUFVUk9GGMoLCwEYwwNGzZEVFQUjWkipA6y+39tr169HjnTrS7ZsWMH8vLyMHDgQC4okZph2f7D09MTcXFxdS54P24sG/3KZDIEBwfDbDZzrU75+fkoKChAXl4eGGO1rtXJxcUFTz75JJ588kkUFxfjyJEj2LVrF5KTk7mlCFJTU/HDDz/ghx9+QNu2bdG3b1/06NHDqRMJLIv1ajQapKamQqlUIjY21uaNnwkhtUO9/xVn+fLlAIBx48aVeT4pKQnJycng8/mIiYlBz549nTrLhvy/oqIiiEQiNGnShMZ41EJ8Ph8eHh7w8PBAeHg4dDodFAoFCgsLkZubC7VajcLCwlrX6uTu7o5+/fqhX79+yM/Px759+7B7925cvHiRuyYlJQUpKSmYM2cOOnfujH79+uHJJ5902ubGliCZk5MDlUqFmJgYBAcHU7ccIXVEvQ5Lt2/fxoEDBxAWFoa+ffuWec3D45y8vLywYMECjBw5sjqqWG+oVCowxhAXFwdvb++arg6xgUgkgr+/P/z9/REdHW3V6lRYWFgrW518fHwwdOhQDB06FPfu3cPu3buxa9cu3L59G8CD7rsjR47gyJEjkEgkeOqpp9C3b1/Ex8c7PLNNIBDA398fCoUCFy9eRFFREaKjo2vF50IIqVi9DkurVq2C2WzG6NGjS30jbNWqFVauXIlu3bohODgYWVlZ+PPPP/HZZ59h9OjR8PLywrPPPltu2TqdDjqdjntd1oah5AGtVguNRoO4uLgqGztCqpY9rU5ubm4Qi8U13uoUFhaGcePGYezYsbh27Ro3o86ySbharcYff/yBP/74A76+vujduzf69euHJk2aVLpFiMfjwdPTE1qtFmlpaVAqlWjcuDGtIUZILWfTAO8hQ4Zg9uzZVbYfEwBcvHgRn376KXbs2FFlzyjJbDYjMjISd+/exc2bNxEZGWnTfQcOHECvXr3QvHlzq4XxHlbe0gM0wNuawWBAQUEBIiMj0bhx4yrvlqAB3tXPMtZJoVAgLy8PhYWF0Gg0ta7VCXgwE/PMmTPYtWsXDh48aLXYrkXDhg3Rt29f9OvXz6GtVkwmE/Lz8+Hm5obo6GiEhobWeIAkhJTNprDE5/Ph6uqKl19+GVOmTEGTJk2cVoFLly7hyy+/xK+//grGWJn7QFWFvXv3ok+fPujRowf2799v170xMTFITU2tMPiU1bIUHh5OYakEk8mE3NxchIaGolmzZtUyS4jCUs0rq9XJMsOutrQ6Af+/ue/u3btx/PhxbgmFkpo3b46+ffuid+/e8PHxqdRzFAoFdDodwsLCEBMTQ3vOEVIL2fTT6amnnsLBgwexdu1arF27Fl26dMHo0aMxYMCASo0vyc3NxcaNG7F27VqcPXsWwIOZUD169LC7rMp61MDuivj5+SE1NRXFxcXlBh/Lgn6kbIwx5OXlwc/PD3FxcTSduh4pa6xTyVan2jLWyc3NDT179kTPnj2hUChw8OBB7Nq1CykpKdzacpcuXcKlS5cwb948dOjQAX369EH37t259ats4eHhAb1ejzt37kClUiE2NrbSwYsQUjXsWsH7o48+QlpaGtdVIhAI0KxZM3Ts2BEdOnRAXFwcfHx84OvrC5lMBoVCgfz8fOTn5+Pff/9FcnIykpOTcfnyZZhMJu4bTnR0NGbNmoUhQ4ZU3TstIS8vDyEhIZBKpbh//75doUatVnPTqAsLC23+IU/rLFnLy8uDu7s7WrduXa2zC6llqXbT6/Xcgpi1tdUpKysLe/fuxe7du8vdaiUxMRH9+vVDp06dbP4eYTabkZ+fD1dXV0RGRqJhw4Y1/l4JIQ/YtSil0WjEypUr8d133+HGjRsPCqjEGBPLIxs3bozJkydj1KhR1dqyMH/+fLz33nt4++23sWDBglLnlUolMjMzERsba3Vco9Fg7Nix2LRpE8aMGYOVK1fa/EwKS/+vqKgIPB4PLVu2rPY9BOtKWFIqleVuWl0RqVT62KzhUxfGOt28eRO7d+/G7t27kZmZWeq8l5cX3nnnHTzzzDM2l6lSqVBcXIyQkBDExsZCLBY7s8qEkEqwewVv4EHY2bdvH1avXo2//voLSqXS5ns9PT3xzDPPYOTIkejZs6e9j3aKFi1a4NKlS7hw4QJatGhR6nx6ejqioqLQvn17NGnSBEFBQcjOzsb+/ftx7949tGjRAocOHbLrBz2FpQfUajV0Oh2aNWuGkJCQan9+XQlLhw8fxpEjR+y+LzEx0SkrztdGllanoqIiyOVyFBcXQ6/Xg8/nw93dHWKxuMbWLTKbzVZbrRQVFVmdf+aZZzB16lSb120yGAzIz8+Hl5cXYmJi6tz/c0IeN5UKSyUZDAb8/fffSE5OxsWLF5Geno78/HzodDqIRCL4+voiMjISLVq0QMeOHdGpU6ca3Yn71KlT6NChAxISEpCcnFzmNQqFAh9//DFOnTqF9PR0FBQUQCwWo0mTJhg8eDDefPNNu3/bo7D0/wN7Y2JiEB0dXSN1qCthqbyWpdzcXGzbtg3PP/88/Pz8Sp1/nFqWKsIY49Z1ysvLQ0FBATQaDfh8PiQSCdzc3GosOBkMBpw8eRK///47Dh06xB2Pjo7G7Nmzbd6A29LVz+PxEBkZiYiIiBr93klIfeZwWCK2qe9hyWg0Ii8vDxEREYiLi6uxsRh1JSyVp67Xv6poNBoUFBRALpcjPz8fWq0WAoEA7u7uNRqcdu3ahVmzZkGj0QB4sJL3tGnTyl0EtyxqtRpqtRpBQUGIjY2l1e0JqQE0BYlUObPZjLy8PAQHByMmJoYGrRKnE4vFEIvFCAkJQXFxMQoKCpCTk4OCggIolUq4uLjA3d0dIpGoWoOTZRHLKVOm4NatW9BoNPjkk0+QkpKC999/36bJJRKJBCKRCFlZWdxWKYGBgbRVCiHViH5qkSrFGENubi58fHwQFxcHV1fXmq4Secy5u7sjNDQUbdq0QYcOHdCiRQv4+PhAp9NxAarkGmhVLSIiAmvWrMHTTz/NHdu2bRvGjBmDu3fv2lSGi4sL/P39odPpcOHCBdy4caPMdZ8IIVWDwhKpUgUFBZBIJGjatCnN6iHVTiKRICwsDG3btkVCQgJatGgBLy8vaDQaZGdno6CgAHq9vsrrIRaL8fnnn+Ozzz7jWpOuX7+O4cOH48CBAzaVwePx4O3tDXd3d6SmpuLChQu0jRIh1YTCEqkyCoUCAoEATZo0cco4LUIqi8fjQSqVIjw8HO3atUNCQgKaNWsGDw8PqNVqZGdno7CwsMqD07PPPovVq1ejQYMGAB6MR5o6dSq+++47m1uKxGIx/Pz8IJfLcfbsWWRkZICGnhJStSgskSqh0Wig1+sRGxtbZwahk/qBx+NBJpOhYcOGaN++PRISEtC0aVNIpVKoVCrk5OSgqKioyrq5YmJisG7dOvTu3Zs7tmnTJowbN67MtZrKIhAI4OfnB5PJhEuXLuHq1avV0kJGSH1FYYk4nV6vh1KpRFRUFEJDQ2u6OoSUi8fjwcPDAxEREUhISEBCQgIaN24MsVgMpVKJ7OxsFBUVwWg0OvW5EokEM2fOxIcffsiN47t8+TKGDRuGo0eP2lx3T09PSKVSpKWl4dy5cygsLHRqPQkhD1BYIk5XVFSEsLAwREVF0YwdUmdYwkdUVBQ6dOiA+Ph4NG7cGG5ubigqKkJOTg4UCoXTghOPx8PgwYOxatUq7pcKhUKB9957D99//73Nz3Fzc4Ofnx/y8/Nx9uxZ3L17F2az2Sl1JIQ8QGGJOJXJZAKPx0NQUBAtoEfqLD6fD29vb0RHR3PBKSYmBkKhkAtOSqUSJpPJ4WfFxcVh/fr16N69O3ds7dq1eO2115CTk2NTGQKBAP7+/uDxeLh8+TKuXLkCrVbrcN0IIQ9QWCJOpVarIZFI4O3tXdNVIcQpBAIBfHx80KhRI3Ts2BHt2rVDdHQ0XFxcuPWcHA1OMpkMc+bMwaRJk7hfMs6dO4eXX34ZJ0+etKscT09P3LlzB2fPnkVeXl6l60QI+X8UlohTabVaBAUFVevGyIRUF4FAAF9fX8TGxnLBKSoqCgKBAPn5+cjJyYFKpapUNxiPx8PLL7+M5cuXIzAwEABQWFiIt956C0uWLLE5jAmFQvj7+0OhUODcuXNIS0tzSgsYIfUZhSXiNAaDAS4uLnZtMExIXeXi4gI/Pz80btyYC04RERHg8XjIy8uDXC6HWq22Ozi1aNECGzZsQOfOnQE8WNh12bJlePPNN5Gbm2tTGXw+H35+fnBxccHVq1dx6dIlFBcX2/0eCSEPUFgiTqNWq7luAELqE1dXV/j7+6NJkybo1KkT2rZtiwYNGoAxBrlcbvcyBF5eXpg3bx7efPNNrlvu9OnTGDZsGP755x+by5FKpfD29kZGRgbOnj0LuVxuVz0IIQ9UWVgqLCzE3bt3aSprPaLT6RAUFER7v5F6zdXVFQEBAWjatCkSEhIQFhaGgoICqFQqu8rh8/kYPXo0Fi9eDD8/PwBAXl4e3njjDaxcudLmFitLfYqLi3H+/HmkpqY6fSkEQh53TvupplKp8MMPP6Bbt26QyWTw9fVFREQEfH19IZPJ0L17dyxatMjubxikbtDpdBCJRNQFR0gJYrEYzZs3R1xcHIxGI/Ly8uzulmvbti02btyIhIQEAA82pl60aBHeffddm38Z5fF48PHxgUgkwvXr13HhwgX6XkyIHZwSlv744w/ExMTgnXfewdGjR6FWq8EY477UajWSkpLw1ltvISYmBn/++aczHktqEbVaDS8vL0il0pquymNN+ddf+M+ZM1D+9VdNV4XYiM/nIzIyEq1bt4ZUKq1Ut5yPjw8WLlyICRMmcGuX/f333xg2bBjOnz9vcznu7u7w9fVFdnY2UlJSkJaWhqKiIlqXiZBHcDgsrV27Fs8//zxycnK4cCSTydC6dWt07twZrVu3hoeHB3cuOzsbAwcOxLp165xRf1ILMMZgNBoRGBhIi1BWoczNm6H8/XfwACh//x2ZmzfXdJWIHXx9fdGmTZtKd8sJBAK8+uqr+PHHH+Hj4wMAyM7Oxvjx47F+/Xqb94dzcXGBv78/TCYTrl69ilOnTuHUqVNIT09HUVER7TNHSBkcCkupqal47bXXYDKZwBjDc889hxMnTqCoqAgpKSk4evQoUlJSUFhYiJMnT2LQoEEAHjQjT5gwATdv3nTKmyA1S6vVws3NjfsGTpwvc/Nm3N+40erY/Y0bKTDVMc7olktISMCGDRvQtm1bAA8Wgp0/fz4mT54MhUJhUxmWbV4CAgIglUqhVqvx77//4vTp0zh16hRu374NhUJBwYmQ/3EoLM2bNw9arRY8Hg9z5szBr7/+ig4dOpR5bUJCArZu3Ypvv/0WwIMxLvPmzXPk8aSWUKvV8PX1hbu7e01X5bFUVlCyoMBUtZRKJTIzM+3+UiqV5ZbpjG45f39/LFq0CGPGjOGOHTlyBMOHD8eVK1fsKksoFMLLywsBAQGQSCRQqVS4fPkyTp06hdOnT1NwIgSAQysH7t27FzweD127dsXkyZNtumfSpEn4448/cOTIEezZs8eRx5NawGw2gzGGgICAmq7KY6mioGRhOR/84ovVUaV65cyZMzhy5Ijd9yUmJqJbt24VXmPplrt+/Tru378Pd3d3u8b8ubi4YOLEiWjVqhWmT5+OoqIi3L9/H2PHjsV7772HIUOG2N0tLhQKIRQKATzYEFuhUCAvLw9CoRAeHh4IDAyEt7c3pFIpdbmTesWhsJSRkQEAGDx4sF33DR48GEeOHOHuJ3VXcXExxGIxdcFVAVuCkgUFpqrRrl07NG7cuNTx3NxcbNu2Dc8//zw3rb8kW0OPWCxGixYt4OHhgVu3biEvLw/e3t52Lb/x5JNPYsOGDfjoo49w8eJFGAwGzJkzBykpKfjkk08qPemiZHDS6XQoKiqCXC6HSCSCp6cnF5wkEgkFJ/LYcygsSaVS6HQ6bml+W1laIWjmVN2n0WjQsGFD7psqcQ57gpIFBSbnk8lkkMlk5Z738/NDcHCwQ8+wdMt5eHjg2rVrkMvl8PHxgaurq81lBAUFYenSpfjhhx+wYcMGAMD+/ftx7do1zJ49G7GxsQ7VUSQSQSQSgTEGvV6PwsJCyOVyqy48S4sTIY8jh8YsNWrUCABw584du+67e/cuACAmJsaRx5MaZjKZwOPx4O/vX9NVeaxUJihZ0BimusvSLRcaGlqp2XKurq5477338O2333Kh5e7duxg9ejS2b9/ulDFHPB4PIpEI3t7e8Pf3h5ubG/Lz83Hp0iWcOnUKKSkpuHfvHtRqtcPPIqQ2cSgsDR06FIwxbNy40eb/iIwxbNiwATweDy/Sb8B1mlqthlQqhZeXV01X5bHhSFCyoMBUd1m65RyZLdetWzesX78eTZo0AfBg7NHMmTPx2WefOXV/OB6Px82C9ff3h0gkQl5eHi5cuIDk5GScPXsW9+7doz3pyGOBxxz4dUOn06FDhw64ePEi3nrrLcyfP/+R97z33ntYsGABWrdujZMnT9ab7huFQgFPT08cf/llSJ3wnk0mEwwGAwQ1uLWIyWyGi4sLXFwc6s2tViaTCWq1GhKJhNtzq7YwFRfDrNE4rTy+WAwBzVCsEoVCIQ6FhKD7/fvw0uur5BlmsxlGoxFmsxl8Ph/2jgrSm0yYl5KCrTducMciPTwwu0sXRFn2b5RKgfHjnVdpPPiFWKfTQa1Ww2QycS1Rlq46mjVL6iKHwhLwYJD3kCFDkJycjPbt22Py5Mno0aMHvL29uWsKCwuxb98+/Pe//8WpU6fQsWNH/PLLLw739dcllrB0uG9fSO0Yi0AIqX2KxGIcbdoUXa5cgacTA25V2JuRga/On0exyQQAcBMI8FGLFvhPeDggkwGTJlXZsxlj0Gq1KC4uhslksmqJ8vb2hlgsrrJnE+JMNoWlqKioCs8bDAZkZGRYzYiwzJJQq9UoKCgA8OA/Do/HQ0hICFxdXcHj8erNwpSPW8uS+X9/l3WtZZBalogzVEfLUklGo5Fb/LcyrUy3FQpMPXYMqSX2khsQHY1xCQkIfv99p9a1PJbgpFarYTabrYKTj48P3NzcqqUehFSGTWGJz+eDx+OVOy6pZEiqqLiHr+PxeDD977edx50lLBUVFcHDw8Ph8u7evYvLly/X2ODqnJwcNG3aFA0bNqyR51dWZmYmli5divHjx9fKlk1njFkCgJCXX6ZZcVWoJv4d5ebm4vr16ygsLLR7thzwYKX9uXPn4rfffrM6Hhsbi8TERCQmJqJx48bVsgzAw8HJsvyIpcWJghOpbWwabNKgQQNaR4NwdDodhEIhra1UBSwBx5HAREHp8eTn5weJRMItYimRSCCRSGy+383NDZ9++inatGmDb775BlqtFgBw/fp1XL9+HcuWLUNgYCC6du2KxMREtGvXzu5AZisejwexWAyxWAzGGDQaDTIzM5GRkQGxWAxfX1+Eh4fT5BFSa9gUltLT06u4GqQuUavV8PHxoTVVqogjgYmC0uPNsrecTCZDWlpapRaxfPrpp9G2bVvs3LkTSUlJVtujZGdnY+vWrdi6dSskEgmeeOIJJCYmonPnzhWuN+UIHo8Hd3d3uLu7w2w2Q6vV4t69e5DL5WjYsCEaNGhQZaGNEFvVnWlMpFZgjMFoNCIwMJBaG6tQZQITBaX6QSAQICoqCh4eHrh+/XqlFrEMCQnBuHHjMG7cOOTk5CApKQlJSUk4ffo0t0+dWq3Gvn37sG/fPggEArRt2xaJiYno2rUrQkJCquS98fl8Ljip1Wpcu3YNeXl5iI6Ohq+vb5U8kxBbODwbjtjmcRmzpNFoYDAY0LFjxzo5k6W2j1l6mK1jmCgoVa/rR45AcfUqPOLiEJuYWGP10Gg0le6WK4tarcaJEydw5MgRHD9+HAqFoszrYmJiuHFOcXFxVfaLk8lkQkFBAQQCARo0aICIiIg6N6mEPB6oZYnYRa1WIzg4uE4GpbrIlhYmCkrVKzMlBcpr18Dj8aC8dg2ZMhmC27atkbo4o1uuJIlEgp49e6Jnz54wGo04d+4cjhw5gqSkJKu9PG/cuIEbN25g+fLl3Dinrl27Ij4+3qldZgKBAH5+ftBoNEhNTUV+fj6io6Ph5+dHLdukWjm1ZSk3Nxd//fUXTp48iczMTCiVSshkMoSEhKBDhw74z3/+U+amk/XB49CyZDabkZeXh9atWyMoKKjanutMda1lyaK8FiYKStUrMyUF9//5p9TxkPj4GgtMFo7OlqsIYww3b97EkSNHcOTIEatxTiVZxjl17doVnTt3dsr3Oguz2YyCggLweDyEhYUhMjKSZs2RauOUsFRcXIwpU6Zg5cqV0Ol05V4nEokwbtw4zJ49u961TDwOYcmyV1WnTp1qfVO4Uqksc28tW3aLr6qBrI56ODBRUKpe5QUli9oQmJzdLVee8sY5lVRV45y0Wi2Kiorg6emJ6OhoGj9JqoXDYSk3NxeJiYm4evWqTfvD8Xg8NGnSBEeOHKlXA/Yeh7BkmZ1i2XOqNjt8+DCOHDli932JiYno1q2b8yvkJNeXL4fi99/h8eyziB03rqarU288KihZ1IbAZDKZcPv2baSlpcFkMjnULWcLyzinpKQkHDt27JHjnLp27YomTZo4FHDMZjOKiopgMpkQGhqKqKgo2kaFVCmHw1JiYiKOHj0K4EH/+UsvvYQ+ffogNjYWUqkUKpUK169fx549e7B582ZuU8WuXbvi8OHDDr+BuqKuhyXLQMt27drVia7U8lqWHqU2tywBdbcbsS6zNShZ1IbABFRtt1x5KhrnVFJAQIDVek6VbanW6XQoLCyETCZDdHQ0goKCqjQYkvrLobC0fft2DBo0CDweD61bt8a2bdsqXNH59u3bGDx4MM6cOQMej4dt27ZhwIABlX18nVLXw5JCoYBQKESHDh3q1Ma5jxsKS9XL3qBkUVsCU3V1y5Wl5DinpKQkXL58uczrJBIJOnXqxK3nZO/3R8YYioqKYDAYEBwcjOjoaFoDjjidQz/1Nm/eDADw9/fHvn37Hrmic8OGDbF79240a9YMcrkcGzdurDdhqa7TarUIDw+noETqjcoGJQDcfTUdmJw9W84ePB4PjRo1QqNGjTB27FjI5XIkJSXhyJEjpdZz2r9/P/bv3w+BQIA2bdqge/fuGDBggE0DuHk8Hry8vKDX65GRkYHCwkJERUUhNDSUWpmI0zj0Lyk5ORk8Hg+vvPKKzVtf+Pr6YuzYsWCMITk52ZHHk2piMBjg4uJSr8aYkfrNkaBkcf+ff5CZkuKkGlWeZRHLVq1aQSqVQi6Xlzkgu6r5+/tj0KBB+P7777F//37Mnj0b/fv3h6enJ3eNyWTCP//8g7lz5+LFF1/EqVOnbC5fKBQiICAAZrMZly9fxvnz58sdP0WIvRzqhnN3d4dOp8OGDRvwoh2zcjZv3oyXX34Zbm5u3Bimx52lG+740qWQOmEgoslohMFohKAafnMym83g8fkQuroCNOukRplMJqjVakgkEggEgpquzmPJpNfD7MQwwXd1haCWzB5ljMFoMMBkNoPH44FfC/4/G00mnE9NxZGzZ3Hk7FlkyOVW55/p3BnvDB0KLzu61hj+932Lx4OLQPDg/0oteK+kdmo5bNgjr3GoT0UoFEKn00Gv19t1n+X6+rjfj6G4GAYnLW0lAACTySllVYT/v+fUxG+jpDSxQACzVgtzTVeE2MRsMDg1fDlDbYrZLgDaRUWhXVQU3nv+eVy7exffbtmCc6mpAIA/jh/HsQsX8P4LL6BP+/Y2zaLj4f/fo9lopP8rxGEOhaWQkBBcu3YNR48exciRI22+LykpCQAQGhrqyOPtFhERgdu3b5d5LjExsdTsPJ1Oh9mzZ2PdunW4e/cufHx88PTTT+Orr75CQEBAperg6u4O1zrUssQYA2MMQqEQPOr/r3HUslT1HueWpZLMZjOY2QyT2cz9PwceBA0ejwfweKjuthgegLjoaCz98ENsT0rC91u3Qq3RoECpxCcrVmDnqVP4aMQIBNsxI5drZQIgcHGBC7UykUpwqBvujTfewE8//QShUIjk5GS0atXqkfecO3cOHTt2hMFgwIQJE7Bo0aLKPt5uERERKCwsxLvvvlvmudGjR3OvzWYz+vfvjz179qBjx45ITEzEjRs3sH37dkRGRuLkyZN2zUSrq7Ph8vPz4ePjg7Zt29LCb7UAzYarHs4YswTUnllxj6LRaKBUKlFUVITc3FwUFxdDr9eDx+PBzc0Nbm5uNdITIJfLMWfOHBw6dIg7JhaL8frrr2Po0KF2/cKgVquhUqng5+eHRo0a2TzOlhDAwbCUkpKC9u3bAwB8fHywZMkSPP/88+Vev23bNkyYMAF5eXng8/k4ffo02rRpU9nH2y0iIgIAkJ6e/shrV61ahVdeeQUvvfQSNmzYwAWFn376Ca+//jrGjx+PJUuW2PzsuhiWGGOQy+Vo0aIFwsLCquw5xHYUlqqPo4GprgSlhzHGoFaroVAoUFRUhLy8PGg0GhiNRggEAi48VWfL5uHDhzF79mzIS4xnatq0KT755BPExsbaXI5lvTgXFxeEh4fTxrzEZg4vSjlx4kQsXryYCxNRUVHo1asXYmNjIZFIoFarcePGDezbtw83b94EYww8Hg+vv/46fvjhB6e8CVvZE5aeeOIJnDhxAunp6VZrRzHG0KhRI2RnZ0Mul9u8bUtdDEsajQYGgwEdO3asd9vT1FYUlqpXXV9nyRlMJhOUSiWUSiXy8/NRWFgIrVYLs9kMV1dXuLm5QSQSVfk0fZVKhR9++AG//PILd0wgEGD48OF49dVX7donrri4GEqlEj4+PrQxL7GJw2HJbDZj1KhR2LBhw4MCK/gHZ3nU8OHDsXr16mpfAyMiIgI6nQ5ff/017t+/Dw8PD7Rv3x4dOnSwuk6r1UIikSAmJgZXr14tVc5rr72GJUuWICkpCV26dLHp2XUxLOXm5iI4OBgtW7assmcQ+1BYqn51dQXvqqLX66FUKqFQKJCXlwelUgmdTgfGGEQiEdzc3B6Mcayi8HHu3DnMnDkTaWlp3LGwsDB8/PHHSEhIsLkc2piX2MPhFQb5fD7WrVuHZ599FrNnz0ZKBeuKtGvXDh9++CEGDRrk6GMrLSsrC2PGjLE61r59e2zatAnR0dEAgJs3b8JsNiMmJqbMMizHb9y4YXNYqmvM/xv0WdmB7IQ8LizBp67sDVfVhEIhfH194evri8jIyDLHOxUVFVXZeKfWrVtjw4YNWLNmDVauXAmDwYB79+7hjTfewDPPPIN33nkHXl5ejyyHz+fD19cXGo0GaWlpKCgoQHR0NAICAqiViZTitOWYhwwZgiFDhuDOnTtITk5GZmYmlEolZDIZgoOD0aFDBzRo0MBZj6uUMWPGoEuXLmjevDmkUimuX7+O//73v1i3bh169OiBixcvQiaToaioCACsFksrydIyZLmuLDqdDjqdjntd1xZHKy4uhlgspkGQhMC2wFQfglJZxGIxxGIxAgIC0KhRI268U2FhIfLz86FUKp0+3kkoFOLVV19Fz549MXPmTJw7dw4A8Mcff+DYsWN4//330adPH5tCj1gshkgkQlFREc6fP4+QkBBER0fT0ANixaGwtHbtWgBAUFAQevfuDQBo0KBBjYei8kyfPt3qdevWrbn3sG7dOixbtgyTJk1yyrO+/vprfPHFF04pqyZoNBo0bNiQBj8S8j8VBab6GpQexuPxIJVKIZVKERISUuZ4p4KCAqeNd4qMjMTSpUuxfft2fP/991Cr1SgoKMAnn3yCnTt34qOPPrKpu5rP58Pb2xs6nQ53797lWpmCg4OplYkAcHC7k9GjR2PMmDE4duyYs+pTIyZMmAAAOH78OID/b1Eqr+XI0kpUXssTAHz00UcoKirivu7evevMKlcpk8kEHo9XbZv0ElJXBLdti5D4eKtjFJTKJxAI4OXlhfDwcLRq1QqdOnVCfHw84uLi4OnpCYPBgLy8PMjlchQVFUGv18PeYbR8Ph+DBg3CL7/8gu7du3PH//77bwwZMgQbNmyAycbFe0UiEfz9/aHX63HhwgVcvHgRarXarvqQx5NDLUtSqRRqtRpNmzZ1Vn1qhN//Fjiz/KeIiooCn8/HjRs3yrzecry8MU3Ag/90IpHIyTWtHmq1GlKp1KZ+f0Lqm+C2bR8McL56FR5xcRSU7FDWeCeFQgGFQlFqfSeZTGbXgGt/f3/MnTvXapkBrVaLefPmYc+ePTYvM1ByY9579+5xG/OGhITQxrz1mEN/85bmzbq+DYZlQ1/L0gJisRgJCQm4du1aqRW/GWPYt28fJBIJ4h/6DfNxodVqERgYCBcXpw1pI+SxIouNxV9ZWZDZscYPKU0sFiMwMBAxMTHo2LEjOnTogFatWiE0NBTFxcXIy8uzuVXIolu3bti6dSsGDx7MHbty5QpGjBiBhQsXQqvV2lSOZWNek8mES5cu4cKFC1AqlXbVhTw+HApLlibP06dPO6UyVenq1atlbtp79epVTJ06FQDw8ssvc8fHjx8P4EF3Wslm4SVLluDWrVsYNmzYYzkA0GAwwMXFBb6+vjVdFUJIPWIZ7xQSEoLmzZujdevW8PT05JYnsKd7TiqV4sMPP8Ty5csRFRUF4MHwgjVr1uDFF1/EqVOnbK6Th4cHvLy8kJmZiTNnzuD27dt2BzhS9zkUliZMmAA+n481a9YgIyPDWXWqEps3b0ZQUBCefvppTJw4EVOmTMHAgQPRsmVLZGVl4aOPPkLXrl2560eNGoU+ffpg06ZNeOKJJ/Dhhx9i8ODBeOONNxAZGYmvvvqqBt9N1VGr1ZDJZBWOxyKEkKpkGTPZtm1bxMXFAXiw9Ym9m7a3bt0a69evx4QJE7jlCyzLDHz++ecoLCy0qRxXV1duDOeVK1dw9uxZ5Ofn21UXUrc5FJbatGmDmTNnQqlUolevXrhw4YKz6uV03bt3R79+/XD9+nWsX78e8+bNQ3JyMrf/26xZs6yu5/P5+O233/D5559DLpdj3rx5OH78OMaOHYsTJ048toOf9Xo9goODqW+eEFLjXF1dERkZifj4eISGhkKhUCA/Px9ms9nmMizLDGzcuBGtW7fmjv/5558YMmQIdu/ebVOrlWUclY+PD/Ly8nD27Flcu3bN5m49Urc5tIK3Zdr9li1bsGvXLvD5fDz55JPo0qULwsLCbOqmGjlyZGUfX6fUhRW8dTodNBoNEhISIJPJnFYusZ9SqYRKpSp1PDc3F9u2bcPzzz/PTUwoSSqV0t9dNaCV1KsfYww5OTm4desWCgoKIJVKIZFI7CrDbDZbLTNgYek9CAkJsbksy+B0T09PREZGIigoiH7JfIw5FJb4fL7VGhSWfd9sfjiPB6PRWNnH1yl1ISzl5+fDx8cHbdu2pbVFatjhw4dx5MgRu+9LTExEt27dnF8hYoXCUs3R6/W4e/cubt++DZ1OB29vb7tXCJfL5ZgzZw4OHTrEHXNzc8Prr7+OF1980eZFM81mMxQKBQwGA4KCghAVFeWU7++k9nF4utPDWcvBreZIDWGMwWg0IjAwkIJSLdCuXTs0btzY7vukUmkV1IaQ2kMoFCI6Ohr+/v64desWsrKy4OLiAk9PT5tbdh61zMC0adNs+v/H5/Ph5eUFg8GAzMxMFBQUcAszO3OLF1LzHApLq1atclY9SA3TaDRwc3OjWXC1hEwmo+40Qirg4eGBli1bIjAwELdu3YJcLodMJoO7u7vNZXTr1g3x8fH48ccf8csvv4AxhitXrmDkyJEYNmwYxo8fb9NaT66urggICIBKpcK1a9cgl8sRFRUFf39/+uXzMeFQNxyxXW3vhsvNzUVwcDBatmzplPIIeZxRN1ztotPpcPv2bdy9excGgwHe3t52rxN3/vx5zJw5E7du3eKOhYWF4eOPP0ZCQoLN5ZhMJm6WXUhICCIjI+0eW0VqHxqNRmA2m8EYQ0BAQE1XhRBC7CYSiRAbG4u2bdvC398fBQUFKCoqsmtYSKtWrZyyzIBAIICvry+kUinu3LmDf/75B3fu3KG1meq4SoeljIwM7Nq1C5s3b8auXbtw7949Z9aLVKPi4mKIxWL4+PjUdFUIIaTSvL290bp1azRv3hyurq7IycmBRqOx+X7LMgObNm1CmzZtuOP2LjMAPAhwAQEBMJvNuHz5Ms6dO0drM9VhdnfDnTp1Cu+99x5OnjxZ6lzHjh0xb948u5os64va3A0nl8vRsGFDNGnSxOGyCHmc0BIOdZdGo0F6ejru3bsHs9kMb29vm2e5ARUvMzBlyhSEhYXZXJbRaERhYSFcXFwQFhaGhg0b2rXvHal5doWlvXv3YuDAgdDpdOWma5FIhB07dqBPnz5Oq+TjoLaGJZPJhIKCArRr167Mb/qE1Ge0hEPdl5eXh7S0NMjlcri5uUEmk9k16Foul2Pu3Lk4ePAgd0wkEmHMmDEYMWKEXRum09pMdZfNYUmpVCI2NhbZ2dncsUaNGiEgIAA5OTlITU3ljgcEBOD69eu03kQJtTUsKRQKCIVCdOzY0a7fugipD8prWXoUalmqXYxGI+7fv4+0tDSo1Wp4eXnZFXKAB8F5zpw5yMnJ4Y6Fh4djypQp6NSpk83lmM1mFBUVwWg00tpMdYjNYWnRokV48803wePx0K5dO6xZs8aq2+bq1asYPXo0Tp06BR6Ph++//x4TJ06ssorXNbU1LOXk5CAmJgaNGjVyuE6EEFKbqdVqpKWl4f79+wAALy8vu35JVKvVWLp0KTZv3mw1YLtHjx6YNGkSAgMDbS5Lr9ejsLAQbm5uaNiwIcLDw2ltplrM5va/Xbt2AQD8/PywZ8+eUuNb4uLisGvXLm5GleV6UnsZDAa4uLjQ2kqEkHpBIpGgWbNmaNOmDTw9PZGXlweVSmXzoG2JRIL33nsPGzZssNpn7sCBAxg8eDDWrVtn864UQqEQAQEB4PP5uHr1KlJSUpCTk0MLO9dSNoelCxcugMfjYeTIkfD29i7zGm9vb4wcORKMMVy8eNFplSRVQ61Ww8PDA56enjVdFUIIqRY8Hg/+/v5o27Yt4uLiwBiDXC6HXq+3uYxGjRph2bJl+Pzzz7mfhxqNBgsWLMDLL7+MlJQUm8uSSqXw8/NDUVERzp07h8uXL6O4uNju90Wqls1hyTLlsWSaLkurVq0APBhUR2o3vV5PAwwJIfWSq6srIiMj0a5dO4SGhkKhUCA/Px9ms9mm+3k8Hp5++mn8+uuvGDx4MDdo/NatWxg/fjw+++wzm38OWtZmkkgk3NpMd+/epbWZahGbf0papk4+atCiZW8qe9a2INVPq9VCKBTS2kqEkHpNJpOhRYsWaN26NaRSKeRyudVSAY/i4eGBDz/8EGvWrEHTpk254zt37sSgQYPw888/2xx63NzcEBAQAJPJhEuXLuHcuXMoKCiw+z0R56MmhXqquLgY3t7etPEqIaTe4/F4CAwMRLt27RAbGwuj0YicnBwYDAaby2jatClWrVqFDz/8kGtUUKlUmDNnDkaNGoVLly7ZXBcPDw/4+PhALpcjJSUF165dg06nq9R7I85BYakeYozBaDQiICCANnkkhJD/EQqFaNSoEdq1a4fg4GAUFhaisLDQ5q45gUCAwYMH49dff8UzzzzDHb969SrGjBmDmTNnoqioyKayXFxc4O/vD6FQiJs3b+Kff/5BZmamzXUhzmV3WKIfrnWfRqOBWCymWXCEEFIGT09PtGzZEi1btoSbmxvkcrldg659fHwwffp0LF++nFuWhTGG7du3Y9CgQfjtt99sDj3u7u7w9/eHRqPB+fPnceHCBSiVykq9L1J5Nq+zxOfzbQ5KliIfdT2Px7N5mmVdV5vWWZLL5QgJCUHLli0drgchhDzOdDodt22KwWCAt7c3XFxcbL7faDRiy5YtWLJkiVXgatmyJT788EPExsbaXBatzVRzKtUNxxgr9wt4EIJ4PF6F15W8nlQfy28zlvWwCCGElE8kEqFx48Zo27Yt/P39UVBQgKKiIpt/frm4uGDYsGH45Zdf0KtXL+74hQsXMHz4cHz33Xc2rxJf1tpMcrmcfpZWA7talpz+cB6v3kyNrC0tS5b/lJ06dYJQKHS4HoQQUl+YTCZkZmYiLS0NSqUSMpkM7u7udpWRnJyMOXPm4Pbt29wxPz8/vPvuu+jTp4/NPTgmkwmFhYUAgLCwMERERNhdF2I7uzbSJZVXW8KSXC5HREQE4uLiHK4DIYTUR1qtFnfu3MHdu3dhMBjg5eVlV3eYXq/H+vXrsWLFCqtZbu3bt8eUKVMQGRlpV12KiooglUoRGRmJ4OBgu7oJiW0oLFWT2hCWTCYTCgoK0K5dO/j5+TlcB0IIqc+KioqQlpaG7OxsCAQCeHp62tULc//+fXz77bdISkrijrm4uGDEiBF45ZVXIBaLbSqHMQalUgmtVgtvb2+Eh4cjMDCQQpMTUViqJrUhLCkUCgiFQnTs2NGuzSMJIYSUzWw2IycnB2lpaSgsLIS7uzskEoldM8eTkpLw7bffchv8AkBQUBAmT56MxMREu7rmFAoF19plCU00CNxxFJaqSW0ISzk5OYiJieGmshJCCHEOvV6Pe/fu4c6dOyguLoaXlxdEIpHN92u1WqxatQpr1661WgzzySefxOTJkxEWFmZzWSaTCUqlEnq9Hp6enggPD0dQUBCFJgdQWKomNR2WDAYDlEol2rdvDy8vL4efTwghpDSVSoX09HTcv38fjDF4e3vb1ZJ/+/ZtzJkzB8nJydwxkUiEMWPGYMSIEXYFsJKhycPDgwtNNLnHfhSWqklNh6XCwkJIpVK0b9+eNs4lhJAqxBhDbm4u0tLSkJubC7FYDJlMZtdahQcOHMB3330HuVzOHQ8PD8eUKVPQqVMnu+pjNpuhVCqh0+kgk8m40GRP8KrvKCxVk5oOSzk5OWjatCkaNmzo8LMJIYQ8mtFoxP3795Geng6VSgUPDw+bB20DDzawX7ZsGTZt2mS1zE6PHj0wadIkBAYG2lUfS2jSarWQyWRo0KABhSYbUViqJjUZlrRaLbRaLRISErgNHgkhhFQPjUaD27dvIyMjo1JLDaSmpuKbb77BuXPnuGNisRjjx4/HSy+9ZPesN7PZDJVKBY1GA6lUivDwcAQHB8PNzc2ucuoTCkvVpCbDUn5+Pnx9fdGmTRva248QQmpIQUEB0tLSkJOTA1dXV3h4eNg8LIIxhr/++gsLFixAQUEBdzwqKgoffvgh2rZta3d9Hg5NYWFhCA4Otqv1q76gsFRNaiosMcYgl8vRsmVLhIaGOvxcQgghlWc2m5GVlYW0tDRuMUmJRGLz/QqFAosXL8Yvv/xitc1J//798c4771Rqg3TGGFQqFYqLiyGRSBAWFoaQkBAKTSVQWKomNRWWiouLYTKZ0KFDB/qHTwghtYROp8Pdu3dx584d6HQ6eHl52TVL7cqVK/jmm29w5coV7phEIsGQIUPw4osvVmrhYcYY1Go11Go13N3dudBE26hQWKo2NRWW5HI5QkJC0LJlS4efSQghxLkUCgXS0tKQlZUFPp8PT09Pm5caMJlM2L59OxYtWgSFQsEdd3V1xdNPP43hw4dXalLPw6EpJCQEoaGhdrWAPW4oLFWTmghLZrMZeXl5aN26NYKCghx+JiGEEOdjjHGrgBcUFEAsFkMqldo8xrSgoACLFi3CH3/8AaPRyB3n8Xjo1q0bRo0ahebNm1eqXg+HppCQEEilUrvLqusoLFWTmghLKpUKANCpUydahIwQQmo5g8GAjIwM3L59G2q1Gp6ennbNUJPL5di4cSO2bdsGtVptda5du3YYOXIknnjiCbsn+jDGUFxcDLVaDTc3Ny401afZ1RSWqklNhCW5XI6IiAjExcU5/DxCCCHVQ61Wc0sNmM1meHl52bU8gEqlwi+//IJNmzYhLy/P6lyjRo0wcuRI9O7d2+4lBxhj0Gg0UCqVcHNzQ3BwMMLCwupFaHJaWJLL5di/fz8uXbqEgoICaLXaRz+cx8OKFSuc8fhar7rDkslkQkFBAdq1a1epgX6EEEJqDmMM+fn5SEtLg1wuh0gkgoeHh12tQnq9Hjt37sTatWtx584dq3NBQUEYPnw4BgwYYPfkH0toUqlUEIlECAoKQlhYmFN+ttVWDocllUqFyZMnY/Xq1Vab/9mq5Kqkj7PqDksKhQJCoRAdO3a0a18iQgghtYfJZEJmZibS0tKgVCohk8nsnp1mMpmQlJSENWvW4NKlS1bnPD098cILL+CFF16At7e33fWztDQJhUIEBwcjNDQUnp6edpdT2zkUlgwGA7p164aTJ0+iMsXweDwKS5X0qLCUk5ODmJgYNGrUyOFnEUIIqVlarRa3b9/GvXv3KrUKOPCgRejs2bNYs2YNjh8/bnVOJBLh2WefxbBhwxAWFmZ3/UqGpsDAQISFhcHT0/OxWQjZobD0/fff49133wWPx4NEIsHEiRPRq1cvhIWF2bzXTH3Zq6w6w5Jer4dKpUL79u3h5eXl8LMIIYTUDoWFhUhPT0d2djYEAgE8PT0rtTl6amoq1q5diz179lg1WvD5fPTs2RMjR46s1HhXrVYLhUIBV1dXLjR5eXnV+dDkUFh64okncPLkSXh5eeHEiRNo3LixM+v2WKnOsFRYWAipVIr27dtX6j8RIYSQ2stsNnNLDRQWFsLd3R0SiaRSgSQrKwsbNmzAjh07oNForM516NABI0eOREJCgt1la7VaKJVKuLi4ICAgAGFhYfD29q6zocmhsOTt7Q2FQoGpU6di1qxZzqzXY6e6wpJle5OmTZvWm1Y7Qgipj/R6Pe7du4c7d+5Ao9HA09PT5l6dhxUVFWHr1q3YsmWL1d5zABAXF4eRI0fiqaeesnsGnU6nQ1FREVxcXODr64uQkBD4+fnZXU5Nc6jZQa/XAwBat27tjLpUqYyMDMyfPx+9e/dGgwYNIBQKERQUhEGDBiE5ObnU9Z9//jl4PF65X+np6dX/Jmyg0+kgFArh4+NT01UhhBBShYRCIaKiohAfH4/w8HCo1Wrk5ORAo9HYPY7Y09MT48aNwx9//IEPP/zQai/Rq1ev4uOPP8agQYOwdetWm2a7W4hEIgQEBEAqlSI3Nxfnzp1DcnIy0tPTUVxcbFcda5JD0S4sLAypqanQ6XTOqk+VWbhwIWbPno3o6Gj07t0b/v7+uHHjBnbs2IEdO3Zg48aNGDp0aKn7Ro0ahYiIiFLHa+tYoOLiYvj6+tbLFVYJIaQ+kkqlaNasGYKDg5GZmYmcnBxuLSSpVGrXcAw3NzcMHjwYAwcOxKFDh7BmzRpcvXoVwINGh9mzZ2Pp0qUYOnQohgwZYvPMN6FQCF9fX5hMJqhUKly5cgXp6ekIDAxEUFBQrR/X5FA33FtvvYVFixbhzTffxIIFC5xZL6fbtm0bfH19kZiYaHX86NGj6NGjB6RSKTIzM7kmzM8//xxffPEFDh06hG7dujn8/OrohrN0wbVs2dLqtwJCCCH1h0qlQnZ2Nu7fvw+VSgUXFxfIZDK7Z88BD36unD59GmvWrCnVCyMWizFw4EAMGzbM7i21Sq7V5OLiAh8fH66LrjL1rGoOhaUbN26gdevWcHV1xdWrV+vs/mN9+vTB3r17cfr0acTHxwOom2GpuLgYJpMJHTp0sHuRMUIIIY8XvV4PuVyOjIwMFBYWwmQyQSaTwc3NrVKtOFevXsXatWuxf/9+mM1m7rhAIECfPn0wcuTISi1Xo9froVQqYTabIZPJEBISgoCAgFq1ca9DY5ZiYmLw008/Qa1Wo0+fPrh586az6lWtLCm2rAFnSUlJmD17NubOnYsdO3Zw+63VRsXFxfDx8aGgRAghBEKhEKGhoYiPj0e7du0QHh7OBSiFQmEVeGwRFxeHWbNmYfv27RgyZAjXE2MymbBz5068+OKLeOedd3DmzBm7xkxZuuh8fHyg1+vx77//4tSpU7hy5Qry8/MrtY6jsznUsrR27VoAwK5du7Blyxa4urri6aefRqdOneDn52dTP+nIkSMr+3inuHPnDmJjY+Hj44O7d+9yq11bWpYe5uXlhQULFjyy3jqdzmosl0KhQHh4eJW1LJnNZuTl5aF169Z1toWPEEJI1XJmF11BQQF+/vln/PzzzygqKrI617x5c4wcORKJiYl27yLxcBedt7c3QkNDa7SLzqGwxOfzrZryGGN2Ne3xeDwYjcbKPt5hBoMBPXv2RFJSEtauXYsRI0Zw57Zv347CwkJ069YNwcHByMrKwp9//onPPvsMhYWF2LFjB5599tlyyy4vbFVVWLK0eHXq1AlCodDh8gkhhDy+9Ho9cnNzkZGRgYKCApjNZkil0kp10Wk0Gvz2229Yv349srKyrM41aNAAI0aMQP/+/Su1rIGli87ShRgSEoLAwMBq76JzOCw59PAa3O7EbDZjxIgR2LhxI1599VUsXbrUpvsOHDiAXr16oXnz5rhw4UK511V3y5JcLkdERESlVlwlhBBSP5nNZhQUFHCz6LRaLcRisd2z6ADAaDRi3759WLNmDVJTU63O+fr6YsCAAXjuuecQHBxsdz1NJhPUajU0Gg3EYjECAgIQFBQEb2/vall82aGwtGbNGocrMGrUKIfLsJfZbMYrr7yCNWvWYPjw4VizZo1dH3ZMTAxSU1PtCj5VOcDbaDSisLAQ7dq1g5+fn8NlE0IIqX+c1UXHGMOJEyewZs0anDlzxuocj8dD586dMWjQIDzxxBOV7qJTq9Xg8/ncLDp/f/8q7aJzKCzVRWazGWPGjMHatWvx0ksvYd26dXb/ZXXq1AknT55EZmamzeODqjIsKRQKCIVCdOzY0e73QgghhJRkMBggl8tx//595OfnO9RFd+nSJaxfvx6HDh0q1ZMUGBiI5557DgMHDqzUL/oGgwFKpRJGoxFSqZTroquKdQbrVVgqGZSGDh2KDRs22B0u1Go1goODYTabUVhYaPOS7VUZlnJychATE1OpKZuEEEJIWZzZRSeXy/Hbb79h+/btyM7OtjonEAiQmJiIQYMGVWpPU7PZDJVKBY1GAzc3NwQEBCA4ONipXXT1JiyV7HobMmQINm7cWG7QUSqVyMzMRGxsrNVxjUaDsWPHYtOmTRgzZgxWrlxp8/OrKix5enpCpVKhffv2tXZVcUIIIXWbWq3muugsG+RWpovOZDLh77//xq+//orjx4+XWhYgPDwczz//PJ555hm7f6YxxrgNfAUCAby8vBAaGgp/f3+HJz5VSVjKzs5GZmYmlEql1QJTNckyO00qleKdd94pMygNHDgQrVu3Rnp6OqKiotC+fXs0adIEQUFByM7Oxv79+3Hv3j20aNEChw4dgq+vr83Pr6qw5OrqCqlUWqk0TgghhNijrC46iUQCsVhsdxddZmYmtm/fjt9++w15eXlW54RCIXr06IFBgwahVatWdpft7C46p4WlO3fuYMGCBdi2bRvu3LlT6nyDBg0wePBgvP322wgPD3fGI+0yevToRw5IX7VqFUaPHg2FQoGPP/4Yp06dQnp6OgoKCiAWi9GkSRMMHjwYb775pt0LP1ZFWLp06RIYY2jWrBkaNmzocJmEEEKILSxddFlZWcjOznaoi85gMODIkSPYtm0bTp06Vep8dHQ0Bg0ahP79+9sddsrqogsKCoKPj49d9XRKWFq1ahXefvttbgfhsoq0pEJ3d3csXLgQo0ePdvSxdUpVhKWzZ89CIpEgISEBMpnMCbUkhBBC7FNWF51UKq1U19ft27exbds2/Pnnn6UWunRzc0Pfvn0xaNAgNGnSxK5yLV10KpUKfD7f7i46h8PSqlWrMHbsWPB4PG5Ryri4OMTGxkIqlUKlUuH69eu4evUqF6J4PB5WrFhRrwJTVYWlsLAwtGnTplbv1kwIIeTx58wuOq1WiwMHDuDXX38tc03Dpk2b4vnnn0efPn3s7ukxGAxQqVQwGAyQSCQIDQ1FdHR0hfc4FJYyMzMRExOD4uJi8Hg8TJgwAR9++CEaNGhQ6tq7d+/im2++wZIlS7gP8MaNG/Vma46qGrPUokULhIaGOqGGhBBCiOMYY1az6CwLSUokkkotb3Pjxg1s27YNO3fuhFqttjonlUrxn//8B88///wjA8/DzGYzFAoFeDwennrqqQqvdSgsffrpp5g5cyZ4PB6WLVuGV1555ZH3rF69Gq+88gp4PB6mTZuGGTNmVPbxdUpVhKX09HTEx8fTxrmEEEJqpZJddCqVCjweD+7u7pVqbSouLsaePXvwyy+/4Nq1a6XOt2nTBoMGDcJTTz1lcxegXq9HcXExevToUeF1DoWlhIQEnDlzBr1798auXbtsvq9///7YvXs34uPjyxzM9ThydljKzs5GQUEBbW9CCCGk1jMajcjPz0d2djZyc3Oh1Wrh6uoKiURi99gmxhiuXLmCX3/9FXv27LHaWgx4sOH9M888g+eff/6RE8qqJSz5+fmhoKAAixYtwoQJE2y+b8mSJXj99dfh4+OD3Nzcyj6+TnF2WCKEEELqouLiYuTl5SEzMxNFRUUwGAxwd3eHu7u73d10SqUSf/31F7Zt24Zbt26VOt+hQwcMGjQIXbt2LXPJIFvDkm3LT1dQSQDw8fGx6z7L9SqVypHHE0IIIaSOsQSjsLAwFBYWQi6XIzs7G/n5+eDxeJBIJDZvrSKTyfDiiy9i6NChOHfuHH799VccOHAABoMBAJCcnIzk5GT4+flh4MCBGDhwYKXGSju0iqFlUca0tDS77ktPTwdgf8gihBBCyOOBx+PB29sbsbGx6NixI9q0aYPg4GDo9XrI5XIUFBRwoceWstq0aYOvvvoKO3fuxFtvvWU1+Sk3NxfLly/Hs88+i/feew/Hjh0rtVddheU70g3Xu3dv7N+/H82aNcP58+dtWuDJZDKhTZs2uHz5Mnr06IG9e/dW9vF1CnXDEUIIIY+mVqutuulMJhPXGmXPQpJmsxmnTp3Cr7/+iqSkpFLhKDg4GM8++yyGDBnyyG44h1qWnn32WQDAlStX8MYbb5S5GGVJjDFMnDgRly5dAgAMGDDAkccTQggh5DEjkUjQoEEDtG/fHvHx8YiKigKPx0Nubi43ONyWdh4+n4+OHTti7ty5+OOPPzBhwgQEBgZy5zMzM7FkyRKb6uRQy5JWq0VsbCwyMjIAAC1btsTkyZPRq1cvq73g5HI59u7di++++w7nz58HAISFheH69esQiUSVfXydQi1LhBBCSOXo9Xrk5eVxY5u0Wi1EIhGkUmmZA7fLYzQacfz4cfz66684ceIEGGPYv39/1c6GA4DTp0/jqaee4rY6sZDJZJBIJFCr1dxAcOBB65JEIsHhw4fRrl07Rx5dp1BYIoQQQhynUqm4bjqFQlHpbrqMjAxs27YNI0aMqPqwBAAXLlzAsGHDcPnyZevC/7cFSkktWrTA+vXr0aJFC0cfW6dQWCKEEEKcx7KZr2U2XXFxMQQCATebzhbVss5SSYwxbq2D5ORkZGZmQqlUQiaTITg4mFvroH///vVyHzMKS4QQQkjV0Ol0Vt10Op0Obm5ukEgkFXbTVXtYIhWjsEQIIYRULcYY1013//59KJVKMMa4LVYe7qarlkUpCSGEEEJqCx6PB5lMBplMhvDwcK6bLicnB7m5uRAIBJBKpXZPLqOwRAghhJDHjkAggJ+fH/z8/BAZGYm8vDxkZWWhsLAQhYWFEIvFcHV1taksu8LSrVu3MHnyZABAs2bN8OWXX9pV8U8++QRXrlwBAMyfPx8NGjSw635CCCGEEHu5ubkhNDQUISEhUCqVkMvlyMrKglKptGkjX7vC0rRp07Bjxw5IJBLMnDnT7soOGzYMCQkJKC4uhoeHB1avXm13GYQQQgghlcHj8eDh4QEPDw9EREQgPz/fpn1qbV6QIDMzE1u3bgWPx8Nbb72FJk2a2F3JJk2a4J133gFjDBs3bkROTo7dZRBCCCGEOEogEMDf3x+RkZGPvNbmsLRlyxaYzWYIhUKuK64y3n//fbi5ucFkMmHLli2VLocQQgghpDrYHJaOHTsGAOjatSt8fHwq/UBvb29069YNAJCUlFTpcgghhBBCqoPNYencuXPg8Xhc0HFEly5dwBjj9okjhBBCCKmtbA5Lubm5AICQkBCHH2opQy6XO1wWIYQQQkhVsjksaTQaAIBEInH4oZYyHt58lxBCCCGktrE5LHl7ewP4/xYmR+Tl5QEAvLy8HC6LEEIIIaQq2RyW/P39AQD//vuvww+1LEwZEBDgcFmEEEIIIVXJ5rDUvn17MMawe/duhx+6e/du8Hg8xMfHO1wWIYQQQkhVsjksWXbkTU1Nxfbt2yv9wG3btuHGjRtWZRJCCCGE1FY8xhiz5cLi4mJEREQgLy8PgYGBSE5ORnh4uF0Pu3PnDjp27IisrCz4+fkhPT0d7u7ulap4XaNQKODp6YmioiJ4eHjUdHUIIYQQYiObW5bc3d0xZcoUMMaQnZ2Nrl274sSJEzY/6MSJE0hMTERWVhZ4PB4++OCDehOUCCGEEFJ32dyyBABmsxn9+/fH3r17/6+9O49r4sz/AP4JEYKSgEdtqRjxxgpYrBeVrthVwfuqeN9XXevaVnerdV08a9ut69r1eO26WsX1WLVqPVYFXUCtJ9T7vsAL0EoXkGgQyPP7g19mE5NMAgKR+Hm/Xnm9wswzz3wnMObrM995BgqFAgqFAl26dMHw4cMRFhZmMQdTWloajhw5gpiYGOzbtw/GXXXs2FGqW3pVcGSJiIioYipWsgQA2dnZ6NGjB3788UeLZEelUknTAWRlZSEvL09aZ9xNWFgYdu3a9cpNG8BkiYiIqGJy+DKckY+PDxISEvC73/0OHh4eEEJIL71ej4yMDGRkZECv15utU6lUmDp1KhISEl65RImIiIgqrmKPLJlKT0/HsmXLEBsbi9OnT8NgMJitd3NzQ/PmzREZGYmJEyeWyqNSKiqOLBEREVVML5QsmXry5AkyMjKQmZkJIQRq1KgBX1/fUnk8iitgskRERFQxlVqyRPKYLBEREVVMxa5ZIiIiInqVMFkiIiIiksFkiYiIiEgGkyUiIiIiGUyW7EhKSkLXrl1RtWpVeHl5ITQ0FJs3b3Z2WERERFROKjk7gJdZQkICIiMj4enpiYEDB0Kj0WDr1q0YMGAA7t69i6lTpzo7RCIiIipjnDrAhoKCAjRp0gT37t3D8ePHERISAqDocS+tW7dGamoqrl27Bn9/f4f649QBREREFRMvw9kQHx+PmzdvYvDgwVKiBBQ97mXGjBl49uwZYmJinBcgERERlQsmSzYkJiYCACIiIizWRUZGAgAOHjxYniERERGREzBZsuH69esAgEaNGlms8/X1hVqtltoQERGR62KBtw3Z2dkAii67WePt7S21sSYvLw95eXnSzzk5OaUbIBEREZULjiyVkS+//BI+Pj7SS6vVOjskIiIiKgEmSzYYR5RsjR4Z726z5fPPP0d2drb0unv3bpnESURERGWLyZINxlola3VJGRkZyM3NtVrPZKRSqeDt7W32IiIiooqHyZIN4eHhAIC4uDiLdbGxsWZtiIiIyHVxUkobCgoKEBAQgPv379uclPLq1auoW7euQ/1xUkoiIqKKiXfD2VCpUiWsXLkSkZGRaNeundnjTm7fvo2FCxc6nCgRERFRxcWRJTtOnjyJWbNm4ejRo8jPz0dwcDCmTJmCAQMGFKsfjiwRERFVTEyWygmTJSIiooqJBd5EREREMpgsEREREclggXc5MV7t5GNPiIiIXi4ajQYKhcLmeiZL5SQzMxMA+NgTIiKil4y9emImS+WkevXqAIA7d+7IPiaFyNXl5ORAq9Xi7t27vNmBXmk8F14eGo1Gdj2TpXLi5lZUHubj48OTggjgY4CI/h/PhZcfC7yJiIiIZDBZIiIiIpLBZKmcqFQqzJo1CyqVytmhEDkVzwWiIjwXKg7O4E1EREQkgyNLRERERDKYLBERERHJYLJEREREJIPJUhlLSkpC165dUbVqVXh5eSE0NBSbN292dlhEL2TdunX48MMP0bJlS6hUKigUCqxZs8Zm+5ycHEyZMgX+/v5QqVSoW7cufv/73yM3N9dqe4PBgCVLliA4OBiVK1dGzZo1MWjQINy6dauMjoio+O7fv4/FixcjIiICderUgYeHB3x9ffHBBx/gxIkTVrfhuVBBCSoz8fHxwt3dXWg0GjFu3DgxZcoU4e/vLwCIhQsXOjs8ohIz/h2/9tpr0vvVq1dbbZubmytCQkIEABERESGmTZsmIiIiBADRqlUr8fTpU4ttxo4dKwCIwMBA8dlnn4mhQ4cKDw8PUb16dXHt2rUyPjoix0ybNk0AEA0aNBBjxowR06dPFx988IFQKpXCzc1N/Otf/zJrz3Oh4mKyVEby8/NFgwYNhEqlEqdPn5aWZ2VlicaNGwsPDw+RmprqvACJXsD+/fulv98vv/xSNlmKjo4WAMS0adPMlhu/aBYsWGC2PD4+XgAQ7dq1E3l5edLyPXv2SF8yRC+DrVu3isTERIvlhw4dEu7u7qJatWpCr9dLy3kuVFxMlspIbGysACBGjRplsW7NmjUCgJgzZ44TIiMqXXLJksFgELVq1RJqtVrk5uaarcvNzRVqtVrUr1/fbPmgQYMEAHHw4EGL/tq3by8AiNu3b5fqMRCVNuOIUVJSkhCC50JFx5qlMpKYmAgAiIiIsFgXGRkJADh48GB5hkRU7q5fv460tDSEhYXBy8vLbJ2XlxfCwsJw69Yt3L17V1qemJgorXsezx2qKNzd3QEAlSoVPYKV50LFxmSpjFy/fh0A0KhRI4t1vr6+UKvVUhsiVyV3HpguN7bT6XRIT09HvXr1oFQq7bYnehnduXMHBw4cwJtvvong4GAAPBcqOiZLZSQ7OxsA4OPjY3W9t7e31IbIVTlyHpi2K257opdNfn4+hg0bhry8PHz99ddSosNzoWJjskRERFQKDAYDRo4ciUOHDmHcuHEYNmyYs0OiUsJkqYwY/zdgK+vPycmx+T8GIlfhyHlg2q647YleFgaDAaNHj8aGDRswdOhQ/O1vfzNbz3OhYmOyVEbkridnZGQgNzfX5rVrIldhr67i+ToOLy8vvPnmm0hJSUFhYaHd9kQvA4PBgFGjRiEmJgaDBg3CmjVr4OZm/vXKc6FiY7JURsLDwwEAcXFxFutiY2PN2hC5qkaNGqFWrVo4cuQIdDqd2TqdTocjR46gXr160Gq10vLw8HBp3fOM5067du3KNnAiBxkTpbVr12LAgAH45z//abMgm+dCxcVkqYx06NAB9evXx4YNG3DmzBlpeXZ2NhYsWAAPDw8MHz7ceQESlQOFQoGxY8ciNzcX8+bNM1s3b9485ObmYty4cWbLx48fDwD44x//iGfPnknL9+7di8TERERERMDf37/sgyeyw3jpbe3atYiKisK6deusJkoAz4WKTiGEEM4OwlUlJCQgMjISnp6eGDhwIDQaDbZu3Yrbt29j4cKFmDp1qrNDJCqRlStX4scffwQAnD9/HqdOnUJYWBgaNmwIAHjvvfcwduxYAEX/aw4LC8PZs2cRERGBd955B6dOnUJcXBxatWqFgwcPonLlymb9jxs3DitXrkRgYCC6deuG9PR0bNq0CWq1GseOHUPjxo3L94CJrJg9ezbmzJkDtVqNjz/+WJpTyVTv3r0REhICgOdChebsWTFd3YkTJ0Tnzp2Ft7e3qFy5smjdurXF84KIKpoRI0YIADZfI0aMMGuflZUlPvnkE6HVaoW7u7uoU6eOmDp1qsjJybHaf2Fhofj2229FYGCgUKlUokaNGmLAgAHixo0b5XB0RI6xdx7Aysz2PBcqJo4sEREREclgzRIRERGRDCZLRERERDKYLBERERHJYLJEREREJIPJEhEREZEMJktEREREMpgsEREREclgskREREQkg8kSERERkQwmS0REREQymCwRERERyWCyRPSKSU1NhUKhgEKhwMiRI50dDpWxw4cPQ6FQQKlU4uzZs84Op0zs2bMHCoUCKpUK165dc3Y45IIqOTsAIrJOoVBYXe7u7g5vb294e3vDz88PzZs3R4sWLdCjRw9Ur169nKO0lJWVhcWLFwMAQkJC0Lt3b6fG8yorLCzERx99BAAYNmwY3n77bSdHVDa6du2K9u3bIzExEZMnT8a+ffucHRK5GIUQQjg7CCKyZCtZskWlUqFv376YP38+6tevb7Ndamoq6tWrBwAYMWIE1qxZ8yJhlnv/5LjvvvsOY8aMgZubG65cuYJGjRo5O6QyEx8fjw4dOgAADhw4IL0nKg1MloheUqbJ0vbt26X3Qgg8fvwYWVlZuHDhAo4ePYqLFy9K6728vPDXv/4Vo0ePLtd4jZgsvRzy8/PRsGFD3LlzB/369cOWLVucHVKZa9WqFZKTkxEaGopjx445OxxyIbwMR1QB2LuUdfz4cUyfPh0HDx6ETqfD2LFjUaVKFQwcOLB8AqSXzqZNm3Dnzh0AwG9+8xsnR1M+JkyYgLFjx+L48eM4cuQIwsLCnB0SuQgWeBO5gNDQUPznP//B+PHjARSNPo0aNQp37951cmTkLMuWLQMAaLVavP/++zbb5eXlwd3dHQqFAu3bt7fbb2hoKBQKBTQaDV62CxP9+/eHp6cnAGDp0qVOjoZcCZMlIhehVCqxdOlStGrVCgCg1+uxYMECi3aO3A1nMBiwYcMG9O7dG/7+/qhcuTI8PT3h5+eHt99+G1FRUVi+fDkyMzMt+jVeggOAmJgYaV+mr8TERLP96fV67NixA5MnT0bbtm1Rs2ZNuLu7Q6PRoFGjRhg2bBj2799v9zNITEyU9jF79mwAQFpaGmbMmIHAwECo1Wp4e3ujefPmmDt3Lh4/fmy3T6AooVi5ciX69u2LunXrwsvLCyqVClqtFl27dsXChQuRlpYm24der8ff//53dO/eHVqtFp6envDx8UFQUBAmT55cqndxXb16FcePHwcA9O3bV7b+7dKlSygoKABQVJAvx2Aw4Pz58wCAZs2aWfRr7fO/ceMGPv74YwQEBMDLywu+vr6IiIhAXFycRf9Hjx7F4MGD0aBBA3h6euKNN95AVFSUw3fxaTQaREREAAB++OEHZGdnO7QdkV2CiF5KAKRXcezcuVPazsvLSzx79sxsfUpKirR+xIgRFts/evRIhIaGmu3f1uubb76x2q+9V0JCgtk+69Wr59B2vXr1Eo8fP7Z57AkJCVLbWbNmidjYWFG9enWb/TVu3Fjcu3dP9vOMj48Xfn5+dmMLCQmx2UdiYqLdPpRKpViwYIFsLI5asGCB1O+2bdtk265Zs0Zqu3r1atm2V65ckdpOmDDBYv3zn/+2bduEWq22eczz588XQghhMBhEdHS0zXbu7u5i586dDh37okWLpO02btzo0DZE9rBmicjFdO/eHVWrVkVWVhZ0Oh2SkpLQtm1bh7cfN26cNCqh1WoxcOBANGrUCNWqVYNOp8P169dx7NgxHD582Gy7119/Hdu3b8fDhw/x4YcfAgDef/99TJ482WIfQUFBZj8/efIEVatWxa9//Ws0b94c/v7+qFKlCnJycnDu3Dls2rQJ6enp2LFjB0aPHo3NmzfbPY4zZ85g4cKFyM/Px8iRI/Hee+9Bo9Hg6tWrWL58OTIyMnDt2jWMGjXK6igHUDQ6ERUVJY28NG7cGFFRUQgICIBKpUJ6ejpOnjyJf//73zYvSe3duxe9evVCfn4+3Nzc0LlzZ3Ts2BF+fn7Q6/VITk7G2rVrkZ2djRkzZgAAPv/8c7vHJyc2NlZ6HxoaKtv23Llz0nt7I0umIzz2piE4deoUvv76ayiVSkyaNAmtW7eGUqlEYmIiVq9ejYKCAsycORNhYWE4deoU5s6dC39/f4wcORJNmjSBTqfD5s2bERcXJ/0Or169itdee012v6bHu2/fPtbtUelwdrZGRNahhCNLQggRGRkpbbt48WKzdXIjSw8ePBBubm4CgGjbtq14+vSpzX08fPhQXLp0yWK5vZEra/bs2WMxAmZKp9OJ3r17S/0ePnzYajvTkQ0AolatWuLChQsW7dLT00Xt2rWldj/99JNFm9TUVKHRaKQ2c+bMEQUFBVb3+/TpU7F7926L5WlpadLI1uuvvy6OHTtmdft79+6JoKAgaYTp8uXLNj8LewoKCoSXl5cAILRard32HTt2lEZv8vLyZNvOmDFD+jyOHj1qsf75z79u3bri1q1bFu1iYmKkNkFBQUKlUolu3bqJJ0+eWLQdPny41PZPf/qT3ePR6/XCw8NDABABAQF22xM5gjVLRC7I399fev/zzz87vN2tW7dgMBgAAEOGDJGKZa2pWbMm3nrrrZIHaaJLly5wd3e3ub5KlSqIiYmBl5cXgKJaKEesW7cOgYGBFst9fX3xhz/8Qfp57969Fm2++uorqaZp4sSJiI6OhlKptLofT09PdOvWzWL5N998g19++QUA8P3339sc5fHz88OWLVugVCpRWFiIb7/91v7B2ZCSkgKdTgcAaNKkid32xpGlt956Cx4eHrJtz5w5A6BoWovg4GC7fa9fv96shs1o+PDh0pxPFy5cgI+PDzZs2IDKlStbtJ0/f75UG+XIZJMqlUqaZ+zatWvQ6/V2tyGyh8kSkQuqVq2a9N60CNseYzICAD/99FOpxvSivL29pS9o42VCOSEhIbJ3gXXq1El6f+HCBbN1hYWF2LBhA4CiL19jsXJxCCGwdu1aAMC7776LX/3qV7LtmzRpgtatWwMwv4xWXKmpqdJ7ezO6P3jwAA8fPgRg/xIc8L/LcPXr14darZZt+84778he/jW9rX/48OHw9va22k6r1UrJ/6VLl+zGCPzvuIUQ0vQJRC+CNUtELkiY1M8UZybwpk2bws/PD/fv38d3332HwsJCjBs3DqGhoTZHVUrLf//7X6xfvx779u3DhQsXkJmZCZ1OZ7UW6N69e3b7e/fdd2XX165d22zfps6dO4ecnBwAkO7OK65Lly5JiWq1atXwww8/2N3G+BmnpKRAr9fLjuzZYhzJAoAaNWrItjWtV7JXg5SZmYn79+871BawXyvl6+srvTcmiXJtU1NTLX5Ptpget+nnQVRSTJaIXJDpl4q9L0xTSqUSK1asQN++fZGXl4eYmBjExMTA29sbbdq0QVhYGDp27Ii2bdsW+3Escnbs2IExY8Y4PApmTGTk2CsEVqlU0vvnL9WYJmNNmzZ1KKbnmY7w7NmzB3v27CnW9r/88gtq1apV7P3m5eVJ7zUajWzb4hR3Gy/BAUXTBthj7+/O9PN3tK3psckxHaV6+vSpQ9sQyWGyROSCTL+oizsq0rVrVyQnJ2POnDnYuXMnnj17hpycHOzfvx/79+/H7NmzUa9ePcydOxdDhw594ViPHTuGfv36SXecNWvWDB07dkTDhg1RrVo1qFQqKTGbOXMmLl68KNVVyXFzK3mVgWkyZu9yky1ZWVkl3j8APHv2rETbmSYh9pLKsroTDije5/8ivytrTOdXslYHRVRcTJaIXIzBYMCJEyekn9u0aVPsPoKCgrBlyxbodDocOXIEx48fx+HDh3H48GHk5eUhJSUFw4YNw82bNzFr1qwXijc6OlpKlJYtW4aJEyfabPvFF1+80L4cZToykZubW6I+TJOsKVOm4M9//vMLx+WI4lyCMiZLtWvXtlvfZFrD5sjIkjOZjlDaOy4iR7DAm8jF7Nq1SxpRUKvVaNGiRYn78vLyQkREBKKjo7F//378/PPPmDdvnrT+iy++QEZGRon7z8/Pl2bzbtGihWyiBJiPmJUl03omR4uK5fooz8fOmN59JpcsFRQU4PLlywBg965Gg8Eg/Z40Go3VO9xeJsbjVigUZneGEpUUkyUiF5Kfn4/58+dLP48cORKVKpXeALJGo8HMmTPRq1cvaX/P35lmeknFWnG2qUePHkmjSg0bNpRtm5SUhEePHpUk7GJr1qwZfHx8ABQ9gqM40y8YhYSESH0kJCQ4XG/zourWrSvVKhmTIWuuXbsmxWR6F6Q1+/btkx7nYu0xJy8TvV6PlJQUAJAmDyV6UUyWiFxEYWEhJk2ahOTkZABFtRrTp08vk32ZjiwYkx0j08tPxvl+bDH9kr5x44Zs2xe93FccSqUSQ4YMAVBUVFySqQNM+3j06BEWLVpUmiHa5ObmJj0f8N69ezafWWdarySXVD158gSfffaZ9PPLfgnu1KlTUr2XvTvyiBzFZInIBZw8eRIdOnTAihUrABRdfoiJiYGfn1+x+omNjcVf/vIX2Vu0Hz58iK1bt0o/P1/sW716dWlE5cyZM7KjS97e3mjcuDGAopqY77//3qJNYWEhPv30U6sTR5aladOmSbVLy5cvx9y5c1FYWGi1bV5entX4ZsyYgapVqwIoKk5fvHixbHG6TqfDypUrsXHjxheKvXPnztJ70/o1U6bJ0tWrV7F06VKLNmlpaejevTsuXrwoLatTp84LxVbWTEc6IyMjnRgJuRIWeBNVAM/P0fP48WNkZWXh4sWLOHLkiNmkimq1GkuXLkVUVFSx95Oeno4pU6Zg2rRpaN++PUJDQ6UJCDMzM3Hu3Dls3LhRSqb69+8vzcRsqkOHDti2bRtu3ryJ/v37o2/fvqhatap0+aZ169ZS4e0nn3wi1Sr1798fAwYMQHh4OKpVq4YbN25g/fr1uHz5MoKCgqBSqcptssw6deogJiZGejbcrFmzsH79ekRFRaFJkybw8PDAgwcPkJycjN27d0Or1aJLly5mffj5+WHz5s3o0aMH8vLy8Omnn2L58uXo06cPmjZtCrVajcePHyMlJQXJycmIj4+HXq83qwsriT59+kijQfHx8ejTp49FG2OypFKp4Obmht/+9rdYv349WrVqhcqVK+PKlSuIi4uDXq+X5t4CgFWrVuHmzZsYMmQI2rdv/0JxloVDhw4BKJpV/fnfB1GJOfNZK0RkG+w85f75l6enpxg0aJDVZ3GZknt2m+kT6O29+vXrJ3Q6ndV9nD17VlSpUsXmtgkJCVJbg8EgRo8eLbuv4OBgcevWLREeHi77vLznn3rv6GccHh5us01cXJzw9fW1+3k0b97cZh9JSUkiICDAoc9VqVSKf/zjH3Zjt6dt27YCgKhZs6bV5+5ptVop7jlz5tiMZ/z48WLVqlUWy+/du2fRZ3E+/1mzZln9e7DG3u/d6PHjx8LT01MAEAMGDJBtS1QcHFkiqmAqVaoEjUYDb29v1K5dG82bN0fLli3Rs2dPs8eclMTw4cPRtGlTHDhwACdOnMDly5eRlpaGp0+fokqVKqhTpw5CQ0MxbNgwhIeH2+ynWbNmOH36NBYtWoRDhw7hzp07ePLkidVLcgqFAqtWrUK3bt2wYsUKJCcnIycnBzVq1EBAQACioqIwZsyYEs1mXRo6deqEW7duYfXq1di1axfOnTuHR48eQaFQ4I033kBwcDA6deqEwYMH2+yjZcuWuHTpErZt24YdO3bgxIkTePDgAXQ6HdRqNbRaLYKDg9G+fXv07NnTbHbrkvroo4+k4vS9e/eiZ8+e0rqsrCzpDr3AwEBER0dDq9ViyZIluHLlCqpUqYKQkBBMmDAB/fr1g16vx+7duxEbGwutVovBgwcX+xJvedi8ebM0weikSZOcHA25EoWw9q8XERFVaAUFBWjYsCFu376NPn36YNu2bdK6Q4cOScnuV199hWnTpjkrzFLVunVrJCUloU2bNg49P5DIUSzwJiJyQZUqVUJ0dDSAosfJmNa1mRZ3BwUFlXtsZSEhIQFJSUkAYDZ9BlFpYLJEROSiRowYgeDgYBgMBilxAsyTpcDAQGeEVuqMRfERERHo2LGjk6MhV8NkiYjIRSmVSixbtgwAsH37dpw6dQrA/5IljUbjEjNc79mzBwkJCfDw8MCSJUucHQ65INYsERG9QoQQ0Gg00Ol0rO0hchBHloiIXiE3b96UZlZ3lUtwRGWNyRIR0Svk/Pnz0ntXKe4mKmu8DEdEREQkgyNLRERERDKYLBERERHJYLJEREREJIPJEhEREZEMJktEREREMpgsEREREclgskREREQkg8kSERERkQwmS0REREQymCwRERERyWCyRERERCTj/wCX3ha0b8KlZAAAAABJRU5ErkJggg==\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np3/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 1549 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np3/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_dSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_dSPN_np4/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing 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116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 22.236083690227538\n", - "Worker iter: 100, fitness 22.85713652017301\n", - "Worker iter: 100, fitness 23.27083770838208\n", - "Worker iter: 100, fitness 22.278886714448937\n", - "Worker iter: 100, fitness 22.69943535270567\n", - "Worker iter: 100, fitness 22.201141398996555\n", - "Worker iter: 100, fitness 22.15594033570837\n", - "Worker iter: 100, fitness 22.458236140353176\n", - "Worker iter: 200, fitness 21.887444260594364\n", - "Worker iter: 200, fitness 21.855403934278Worker iter: 200, fitness 21.856153710874153\n", - "Worker iter: 200, fitness 21.8161787439899\n", - "\n", - "Worker iter: 200, fitness 21.815354958320686\n", - "Worker iter: 200, fitness 21.814902504771457\n", - "Worker iter: 200, fitness 21.743948118978984\n", - "Worker iter: 200, fitness 21.72467560381084\n", - "Worker iter: 300, fitness 21.611478340775456\n", - "Worker iter: 300, fitness 21.59727048143536\n", - "Worker iter: 300, fitness 21.60540152329928\n", - "Worker iter: 300, fitness 21.606754402462286\n", - "Worker iter: 300, fitness 21.61337441658893\n", - "Worker iter: 300, fitness 21.611053062366377\n", - "Worker iter: 300, fitness 21.592280031693097\n", - "Worker iter: 300, fitness 21.59222436481884\n", - "Worker iter: 400, fitness 21.592862176246406\n", - "Worker iter: 400, fitness 21.591139665110294\n", - "Worker iter: 400, fitness 21.59174365213144\n", - "Worker iter: 400, fitness 21.590181429352086\n", - "Worker iter: 400, fitness 21.591365125130707\n", - "Worker iter: 400, fitness 21.591365125130707Worker iter: 400, fitness 21.59174365213144\n", - "\n", - "Worker iter: 400, fitness 21.590680219046977\n", - "Worker iter: 500, fitness 21.590181429352086\n", - "Worker iter: 500, fitness 21.590181429352086\n", - "Worker iter: 500, fitness 21.58902237079263\n", - "Worker iter: 500, fitness 21.5894872819185\n", - "Worker iter: 500, fitness 21.589716647964018\n", - "Worker iter: 500, fitness 21.5894872819185\n", - "Worker iter: 500, fitness 21.58970383407486\n", - "Worker iter: 500, fitness 21.58902237079263\n", - "Duration: 68.17167279400746 s\n", - "f1 = 0.9011, softMax = 3.9513, mu2 = 0.5929, a3 = 0.8846\n", - " fun: 21.58902237079263\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 4205\n", - " nit: 104\n", - " success: True\n", - " x: array([0.90113141, 3.95128925, 0.59289552, 0.88461179])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_dSPN_np4/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007075870234984905 seconds\n", - "Created connection matrix 0.006359989027259871 seconds\n", - "Created gap junction connection matrix 0.00011916700168512762 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 6743, at 0\n", - "Created distance histogram (optimised) in 0.00606427900493145 seconds\n", - "Saving cache to networks/FS_to_dSPN_np4/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to dSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.8439425051334702\n", - "P(d<0.00015) = 0.7636363636363637\n", - "P(d<0.00025) = 0.5095669687814703\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np4/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 1701 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_dSPN_np4/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_iSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np1_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 3.9713770730013493 s\n", - "f1 = 0.2110 (exp(-(0.5*d/60e-6)**2))\n", - " fun: 25.80490212335453\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 162\n", - " nit: 15\n", - " success: True\n", - " x: array([0.21098413])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_iSPN_np1_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.000804544979473576 seconds\n", - "Created connection matrix 0.002599511994048953 seconds\n", - "Created gap junction connection matrix 0.0003316270012874156 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 1551, at 0\n", - "Created distance histogram (optimised) in 0.0018350510217715055 seconds\n", - "Saving cache to networks/FS_to_iSPN_np1_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to iSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.6078028747433265\n", - "P(d<0.00015) = 0.4777777777777778\n", - "P(d<0.00025) = 0.23934206109432696\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np1_dd/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 747 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np1_dd/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_iSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np2_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 25.223229461200184\n", - "Worker iter: 100, fitness 25.223229461200184\n", - "Worker iter: 100, fitness 25.223229461200184\n", - "Worker iter: 100, fitness 25.223229461200184\n", - "Worker iter: 100, fitness 25.223229461200184Worker iter: 100, fitness 25.223229461200184Worker iter: 100, fitness 25.223229461200184\n", - "\n", - "\n", - "Worker iter: 100, fitness 25.223229461200184\n", - "Duration: 15.808845374005614 s\n", - "f1 = 0.3189, mu2 = 1.0116 (exp(-(0.5*d/60e-6)**2))\n", - " fun: 25.223229461200184\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 863\n", - " nit: 42\n", - " success: True\n", - " x: array([0.31891435, 1.01157685])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_iSPN_np2_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0008076289959717542 seconds\n", - "Created connection matrix 0.0027513880049809813 seconds\n", - "Created gap junction connection matrix 8.291701669804752e-05 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 2060, at 0\n", - "Created distance histogram (optimised) in 0.002257760992506519 seconds\n", - "Saving cache to networks/FS_to_iSPN_np2_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to iSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.5954825462012321\n", - "P(d<0.00015) = 0.4484848484848485\n", - "P(d<0.00025) = 0.2131587781134609\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np2_dd/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 672 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np2_dd/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_iSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np3_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 23.621583982776716\n", - "Worker iter: 100, fitness 23.714066614440885\n", - "Worker iter: 100, fitness 23.668572801132882\n", - "Worker iter: 100, fitness 23.499572073356685\n", - "Worker iter: 100, fitness 23.75585567969359\n", - "Worker iter: 100, fitness 23.831136132149496\n", - "Worker iter: 100, fitness 23.997089249655847\n", - "Worker iter: 100, fitness 23.539370963266922\n", - "Worker iter: 200, fitness 23.258009001039028\n", - "Worker iter: 200, fitness 23.21599903580185\n", - "Worker iter: 200, fitness 23.258009001039028\n", - "Worker iter: 200, fitness 23.23605865146397\n", - "Worker iter: 200, fitness 23.260123869388583\n", - "Worker iter: 200, fitness 23.277725851469874\n", - "Worker iter: 200, fitness 23.256979222900092\n", - "Worker iter: 200, fitness 23.269140306377437\n", - "Duration: 34.67701982698054 s\n", - "f1 = 0.5863, mu2 = 0.8220, a3 = 0.7706 (exp(-(0.5*d/60e-6)**2))\n", - " fun: 23.197016469200165\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 2254\n", - " nit: 74\n", - " success: True\n", - " x: array([0.58625956, 0.82202319, 0.77055823])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_iSPN_np3_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007788790098857135 seconds\n", - "Created connection matrix 0.0034075990261044353 seconds\n", - "Created gap junction connection matrix 0.0003193760057911277 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 3156, at 0\n", - "Created distance histogram (optimised) in 0.0031248060113284737 seconds\n", - "Saving cache to networks/FS_to_iSPN_np3_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to iSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.5831622176591376\n", - "P(d<0.00015) = 0.4717171717171717\n", - "P(d<0.00025) = 0.25511916750587443\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np3_dd/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 810 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np3_dd/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_iSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np4_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 23.197016469200165\n", - "Worker iter: 100, fitness 23.197016469200165\n", - "Worker iter: 100, fitness 23.197016469200165\n", - "Worker iter: 100, fitness 23.197016469200165\n", - "Worker iter: 100, fitness 23.117173922885886\n", - "Worker iter: 100, fitness 23.197016469200165Worker iter: 100, fitness 23.197016469200165\n", - "\n", - "Worker iter: 100, fitness 23.197016469200165\n", - "Worker iter: 200, fitness 22.830532547046502\n", - "Worker iter: 200, fitness 23.18346379033192\n", - "Worker iter: 200, fitness 23.197016469200165\n", - "Worker iter: 200, fitness 23.197016469200165\n", - "Worker iter: 200, fitness 22.708307451836262\n", - "Worker iter: 200, fitness 22.524161435340094\n", - "Worker iter: 200, fitness 22.801495965400875\n", - "Worker iter: 200, fitness 23.07149878979952\n", - "Worker iter: 300, fitness 22.40913034287914\n", - "Worker iter: 300, fitness 22.399852851907664\n", - "Worker iter: 300, fitness 22.542698955319253\n", - "Worker iter: 300, fitness 22.490773678898684\n", - "Worker iter: 300, fitness 22.698095704712816\n", - "Worker iter: 300, fitness 22.524161435340094\n", - "Worker iter: 300, fitness 22.09778975071735\n", - "Worker iter: 300, fitness 22.140159609964282\n", - "Worker iter: 400, fitness 22.257470227029895\n", - "Worker iter: 400, fitness 21.74863033405607\n", - "Worker iter: 400, fitness 21.81175023437745\n", - "Worker iter: 400, fitness 22.199678095021564\n", - "Worker iter: 400, fitness 21.62840389856411\n", - "Worker iter: 400, fitness 22.08829682535238\n", - "Worker iter: 400, fitness 21.77808937460379\n", - "Worker iter: 400, fitness 21.628156283841044\n", - "Worker iter: 500, fitness 21.621694512809043\n", - "Worker iter: 500, fitness 21.573291965678575\n", - "Worker iter: 500, fitness 21.577115988772427\n", - "Worker iter: 500, fitness 21.57366248361254\n", - "Worker iter: 500, fitness 21.575646696512763\n", - "Worker iter: 500, fitness 21.54004213271373\n", - "Worker iter: 500, fitness 21.54004213271373\n", - "Worker iter: 500, fitness 21.54004213271373\n", - "Worker iter: 600, fitness 21.53996666604117\n", - "Worker iter: 600, fitness 21.538041093093693\n", - "Worker iter: 600, fitness 21.538041093093693\n", - "Worker iter: 600, fitness 21.538041093093693\n", - "Worker iter: 600, fitness 21.538041093093693\n", - "Worker iter: 600, fitness 21.538041093093693Worker iter: 600, fitness 21.538041093093693\n", - "\n", - "Worker iter: 600, fitness 21.538041093093693\n", - "Duration: 85.91937613597838 s\n", - "f1 = 0.7861, softMax = 1.5717, mu2 = 0.8191, a3 = 0.7810 (exp(-(0.5*d/60e-6)**2))\n", - " fun: 21.538041093093693\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 4965\n", - " nit: 123\n", - " success: True\n", - " x: array([0.78606981, 1.57169914, 0.81909931, 0.78101565])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_iSPN_np4_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0008215029956772923 seconds\n", - "Created connection matrix 0.0028452620026655495 seconds\n", - "Created gap junction connection matrix 0.0001228329783771187 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 1624, at 0\n", - "Created distance histogram (optimised) in 0.001891924999654293 seconds\n", - "Saving cache to networks/FS_to_iSPN_np4_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to iSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.5770020533880903\n", - "P(d<0.00015) = 0.47373737373737373\n", - "P(d<0.00025) = 0.26586102719033233\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np4_dd/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 851 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np4_dd/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_iSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np1/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 4.511120312003186 s\n", - "f1 = 0.0931\n", - " fun: 25.693479765551583\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 232\n", - " nit: 22\n", - " success: True\n", - " x: array([0.09311697])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_iSPN_np1/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007953780004754663 seconds\n", - "Created connection matrix 0.002728594990912825 seconds\n", - "Created gap junction connection matrix 0.0002746680111158639 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 1475, at 0\n", - "Created distance histogram (optimised) in 0.001773966010659933 seconds\n", - "Saving cache to networks/FS_to_iSPN_np1/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to iSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.6242299794661191\n", - "P(d<0.00015) = 0.5111111111111111\n", - "P(d<0.00025) = 0.2688821752265861\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np1/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 850 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np1/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_iSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np2/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 21.538041093093693\n", - "Worker iter: 100, fitness 21.538041093093693\n", - "Worker iter: 100, fitness 21.538041093093693\n", - "Worker iter: 100, fitness 21.538041093093693\n", - "Worker iter: 100, fitness 21.538041093093693\n", - "Worker iter: 100, fitness 21.538041093093693\n", - "Worker iter: 100, fitness 21.538041093093693\n", - "Worker iter: 100, fitness 21.538041093093693\n", - "Duration: 14.80592264101142 s\n", - "f1 = 0.0940, mu2 = 0.5664\n", - " fun: 25.540854109873017\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 983\n", - " nit: 48\n", - " success: True\n", - " x: array([0.09397482, 0.56639775])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_iSPN_np2/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0008415030024480075 seconds\n", - "Created connection matrix 0.002814512001350522 seconds\n", - "Created gap junction connection matrix 0.00040483500924892724 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 1487, at 0\n", - "Created distance histogram (optimised) in 0.0019308420014567673 seconds\n", - "Saving cache to networks/FS_to_iSPN_np2/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to iSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.62217659137577\n", - "P(d<0.00015) = 0.51010101010101\n", - "P(d<0.00025) = 0.2692178583417254\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np2/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 852 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np2/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_iSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np3/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 21.426441895760878\n", - "Worker iter: 100, fitness 21.427529989340158Worker iter: 100, fitness 21.538041093093693\n", - "\n", - "Worker iter: 100, fitness 21.35731754566062\n", - "Worker iter: 100, fitness 21.538041093093693\n", - "Worker iter: 100, fitness 21.396306346109505\n", - "Worker iter: 100, fitness 21.538041093093693\n", - "Worker iter: 100, fitness 21.538041093093693\n", - "Worker iter: 200, fitness 21.19277529250193\n", - "Worker iter: 200, fitness 21.19277529250193\n", - "Worker iter: 200, fitness 21.193340815482152\n", - "Worker iter: 200, fitness 21.19277529250193\n", - "Worker iter: 200, fitness 21.19277529250193\n", - "Worker iter: 200, fitness 21.19277529250193\n", - "Worker iter: 200, fitness 21.19277529250193\n", - "Worker iter: 200, fitness 21.19277529250193\n", - "Duration: 19.627453380002407 s\n", - "f1 = 0.4052, mu2 = 0.0404, a3 = 0.6843\n", - " fun: 21.19277529250193\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 1444\n", - " nit: 47\n", - " success: True\n", - " x: array([0.40520396, 0.04041963, 0.68429693])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_iSPN_np3/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007313780079130083 seconds\n", - "Created connection matrix 0.004205309000099078 seconds\n", - "Created gap junction connection matrix 0.0003568760002963245 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 4280, at 0\n", - "Created distance histogram (optimised) in 0.003951641003368422 seconds\n", - "Saving cache to networks/FS_to_iSPN_np3/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to iSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.6036960985626283\n", - "P(d<0.00015) = 0.5272727272727272\n", - "P(d<0.00025) = 0.32997650218194025\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np3/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 1075 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np3/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", - "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/FS_to_iSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/FS_to_iSPN_np4/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 50/216 (139 neurons)\n", - "Processing hyper voxel : 44/216 (131 neurons)\n", - "Processing hyper voxel : 86/216 (111 neurons)\n", - "Processing hyper voxel : 80/216 (101 neurons)\n", - "Processing hyper voxel : 49/216 (93 neurons)\n", - "Processing hyper voxel : 85/216 (85 neurons)\n", - "Processing hyper voxel : 43/216 (82 neurons)\n", - "Processing hyper voxel : 51/216 (72 neurons)\n", - "Processing hyper voxel : 79/216 (66 neurons)\n", - "Processing hyper voxel : 14/216 (58 neurons)\n", - "Processing hyper voxel : 45/216 (58 neurons)\n", - "Processing hyper voxel : 56/216 (53 neurons)\n", - "Processing hyper voxel : 87/216 (53 neurons)\n", - "Processing hyper voxel : 8/216 (45 neurons)\n", - "Processing hyper voxel : 81/216 (44 neurons)\n", - "Processing hyper voxel : 92/216 (34 neurons)\n", - "Processing hyper voxel : 55/216 (32 neurons)\n", - "Processing hyper voxel : 7/216 (31 neurons)\n", - "Processing hyper voxel : 13/216 (30 neurons)\n", - "Processing hyper voxel : 122/216 (24 neurons)\n", - "Processing hyper voxel : 91/216 (24 neurons)\n", - "Processing hyper voxel : 38/216 (22 neurons)\n", - "Processing hyper voxel : 57/216 (19 neurons)\n", - "Processing hyper voxel : 116/216 (18 neurons)\n", - "Processing hyper voxel : 15/216 (18 neurons)\n", - "Processing hyper voxel : 9/216 (16 neurons)\n", - "Processing hyper voxel : 121/216 (15 neurons)\n", - "Processing hyper voxel : 74/216 (15 neurons)\n", - "Processing hyper voxel : 37/216 (15 neurons)\n", - "Processing hyper voxel : 93/216 (14 neurons)\n", - "Processing hyper voxel : 48/216 (12 neurons)\n", - "Processing hyper voxel : 115/216 (12 neurons)\n", - "Processing hyper voxel : 42/216 (12 neurons)\n", - "Processing hyper voxel : 84/216 (11 neurons)\n", - "Processing hyper voxel : 2/216 (10 neurons)\n", - "Processing hyper voxel : 78/216 (10 neurons)\n", - "Processing hyper voxel : 20/216 (9 neurons)\n", - "Processing hyper voxel : 73/216 (9 neurons)\n", - "Processing hyper voxel : 75/216 (9 neurons)\n", - "Processing hyper voxel : 123/216 (8 neurons)\n", - "Processing hyper voxel : 1/216 (6 neurons)\n", - "Processing hyper voxel : 39/216 (6 neurons)\n", - "Processing hyper voxel : 117/216 (6 neurons)\n", - "Processing hyper voxel : 19/216 (4 neurons)\n", - "Processing hyper voxel : 21/216 (3 neurons)\n", - "Processing hyper voxel : 128/216 (3 neurons)\n", - "Processing hyper voxel : 97/216 (2 neurons)\n", - "Processing hyper voxel : 98/216 (2 neurons)\n", - "Processing hyper voxel : 52/216 (2 neurons)\n", - "Processing hyper voxel : 62/216 (2 neurons)\n", - "Processing hyper voxel : 36/216 (2 neurons)\n", - "Processing hyper voxel : 6/216 (2 neurons)\n", - "Processing hyper voxel : 3/216 (2 neurons)\n", - "Processing hyper voxel : 88/216 (2 neurons)\n", - "Processing hyper voxel : 127/216 (1 neurons)\n", - "Processing hyper voxel : 114/216 (1 neurons)\n", - "Processing hyper voxel : 61/216 (1 neurons)\n", - "Processing hyper voxel : 110/216 (1 neurons)\n", - "Processing hyper voxel : 109/216 (1 neurons)\n", - "Processing hyper voxel : 90/216 (1 neurons)\n", - "Processing hyper voxel : 82/216 (1 neurons)\n", - "Processing hyper voxel : 54/216 (1 neurons)\n", - "Processing hyper voxel : 46/216 (1 neurons)\n", - "Processing hyper voxel : 12/216 (1 neurons)\n", - "Processing hyper voxel : 111/216 (1 neurons)\n", - "Processing hyper voxel : 157/216 (1 neurons)\n", - "Read 15460 out of total 15460 synapses\n", - "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 21.05325086786036\n", - "Worker iter: 100, fitness 20.896511426896712\n", - "Worker iter: 100, fitness 21.19277529250193\n", - "Worker iter: 100, fitness 21.19277529250193Worker iter: 100, fitness 21.19277529250193\n", - "\n", - "Worker iter: 100, fitness 20.488311312952618\n", - "Worker iter: 100, fitness 21.19277529250193\n", - "Worker iter: 100, fitness 21.18739278967574\n", - "Worker iter: 200, fitness 20.28570051900563\n", - "Worker iter: 200, fitness 20.372437835304403\n", - "Worker iter: 200, fitness 20.248326353305046\n", - "Worker iter: 200, fitness 20.377192175058767\n", - "Worker iter: 200, fitness 20.310719073671454\n", - "Worker iter: 200, fitness 20.05913962172505Worker iter: 200, fitness 20.263585604262726\n", - "\n", - "Worker iter: 200, fitness 20.141616663048985\n", - "Worker iter: 300, fitness 20.085157853720478\n", - "Worker iter: 300, fitness 20.072776969761932\n", - "Worker iter: 300, fitness 20.01184641044036\n", - "Worker iter: 300, fitness 20.036978172826565\n", - "Worker iter: 300, fitness 20.033268864732136\n", - "Worker iter: 300, fitness 20.035996864641003\n", - "Worker iter: 300, fitness 20.100274688796915\n", - "Worker iter: 300, fitness 20.013728211642093\n", - "Worker iter: 400, fitness 19.74413485134395\n", - "Worker iter: 400, fitness 19.721421654794934\n", - "Worker iter: 400, fitness 19.804440383599953\n", - "Worker iter: 400, fitness 19.736379270063964\n", - "Worker iter: 400, fitness 19.798523448791038\n", - "Worker iter: 400, fitness 19.707366649252837\n", - "Worker iter: 400, fitness 19.718572450348642\n", - "Worker iter: 400, fitness 19.69016518179276\n", - "Worker iter: 500, fitness 19.67536727839159\n", - "Worker iter: 500, fitness 19.674709803543333\n", - "Worker iter: 500, fitness 19.677838346661506\n", - "Worker iter: 500, fitness 19.674364603090055\n", - "Worker iter: 500, fitness 19.677488108195856\n", - "Worker iter: 500, fitness 19.675362256333194\n", - "Worker iter: 500, fitness 19.675664335770595\n", - "Worker iter: 500, fitness 19.675327971671795\n", - "Worker iter: 600, fitness 19.674364603090055\n", - "Worker iter: 600, fitness 19.674364603090055\n", - "Worker iter: 600, fitness 19.674029484876\n", - "Worker iter: 600, fitness 19.67437915259117\n", - "Duration: 67.45184957800666 s\n", - "f1 = 0.4992, softMax = 3.2254, mu2 = 0.7461, a3 = 0.6753\n", - " fun: 19.674029484876\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 4525\n", - " nit: 112\n", - " success: True\n", - " x: array([0.49915206, 3.22538406, 0.7461132 , 0.67526879])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/FS_to_iSPN_np4/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007862529892008752 seconds\n", - "Created connection matrix 0.0038598490064032376 seconds\n", - "Created gap junction connection matrix 8.13750084489584e-05 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Taking corner neurons: Keeping 150/150\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 3271, at 0\n", - "Created distance histogram (optimised) in 0.003140971006359905 seconds\n", - "Saving cache to networks/FS_to_iSPN_np4/network-synapses.hdf5-cache\n", - "Plotting connection probability FS to iSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<0.0001) = 0.5995893223819302\n", - "P(d<0.00015) = 0.5262626262626262\n", - "P(d<0.00025) = 0.33434038267875127\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np4/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 1100 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/FS_to_iSPN_np4/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_dSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np1_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1}\n", - "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 34.13309890800156 s\n", - "f1 = 0.0541 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 19.674906382123822\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 132\n", - " nit: 12\n", - " success: True\n", - " x: array([0.05413092])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_dSPN_np1_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007497949991375208 seconds\n", - "Created connection matrix 0.009741621994180605 seconds\n", - "Created gap junction connection matrix 7.537499186582863e-05 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 5361, at 0\n", - "Created distance histogram (optimised) in 0.004704310005763546 seconds\n", - "Saving cache to networks/dSPN_to_dSPN_np1_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to dSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.26868905742145177\n", - "P(d<0.0001) = 0.22666496880173181\n" - ] - }, - { - "data": { - "image/png": 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KFRQUFGDbtm3o3LmzQdmvv/7a4I8Razk7O8Pf3x/t27fHlClT8MMPPyArKwsLFy60alJYU0QiEZYsWcK9l8vlWLNmjc3nJaSmUFgiDlF5wj1PT0+rjvfy8rJjbSrweDz07NkTX331Fa5evWrwi+7gwYO4c+eOReeKjIwEq+jm1nuVlJTg3r17OHHiBNauXas3h5Q9uLu7Y+nSpdx7hUKBDz74wK7XqCn2/p549OiRrVWqk9+nAODt7Y3p06cjISEBy5YtM9j/xRdfWHyukydPGnyflpWVIS8vD0lJSdi5cydeeukleHh42PMW8Oqrr+qtf/f999/j3r17dr0GIfZCYYkQI8LDw/H777/rTRTIGLNqVmZHmTNnDkJCQrj3P/zwg8Uhj9QvPB4PK1euxMSJE/W2Hz9+3EE1spyrqyveffdd7r1SqcSqVascWCNCTKOwRBzC29tb771EIrHq+OLiYjvWxrgOHTpg0KBBetvS0tJq/Lq2EgqFeP/997n3KpUKK1eudGCNLGPv7wntbNq2qA/fpwDw+uuv673PysqqF8vezJo1C82bN+feb9++vcbGBhJiCwpLxCEaN26s9z49Pd3iY9Vqda21lHTp0kXvvT26dmrDjBkz9MbX7Nq1y+KlNxxFd8AvAKt/aaamppo9X3VUXrPNmu9TwPp7qK7K36dA/fhedXFx0etGLC8vx4oVKxxXIUJMoLBEHKJ79+567y9dumTxsdevX4dCobB3lYyq/NSPtWNWHMXJyQnLly/n3qvVar33Nam6A4B79Oih9/7ChQtWHR8bG2v2fNXh6+ur1/Jx5coVk4v6GmPN97UtjD2dVl++V6dOnYo2bdpw73/66SckJyc7sEaEGKKwRByiX79+eu/37t1r8bG//PKLvatjUuXWmCZNmtTatW31wgsvoH379tz7vXv3IjExscavq/skYVlZmcXHNW/eXO/zGxMTY/DUpCkFBQU4evQo997b2xvt2rWz+Nrm6H6v5ufn4+TJkxYdV1xcjMOHD9ulDlWp/H0qEokgEolq5dq2EggEet3EGo3G6KB1QhyJwhJxiDZt2qBnz57c+3///RcxMTFVHpefn2+w8rs5toSD+/fv6/0CBoCoqKhqn6+28fl8vV9CjDG9sUw1RfcJsPz8fKjVaouPff7557mP1Wo11q5da9Fxq1evhkql0juPPR5xBypCpy5Lny785JNPLG4BffjwocXB0JitW7fqva9P36cAMHHiRHTq1Il7v3//fpunPyDEnigsEYd57bXX9N7PnDnT7C+M8vJyTJ8+3eBxbnPmz5+PPn364PDhw2CMWXycVCrF5MmT9X7ZtW7d2qD7sK579tln9aYn+OOPP2r8mrrzHalUKvz7778WH/vqq6/qPYG4adMm/Pnnn2aP+fPPP/HVV19x7/l8PubNm2dFjc176qmn0LJlS+59TEwM1q9fb/YYS8roSklJQcuWLbFkyRKDuZ2qsm/fPoM/ICo/HVfX8Xg8vSfhGGNVft0JqU0UlojDTJ06Va+L4/bt2xgwYIDRbo60tDQMGzYMf/31FwDDp5TMuXjxIp566im0atUKq1atQlxcnMnWjtLSUuzZswddunQx+CW/fv16u7VW1BYej4fVq1fX6jWfeOIJvffTpk3DDz/8gISEBNy5cwcZGRncq3LLS8uWLfHOO+9w79VqNcaPH4+PPvrI4OkuhUKBTz75BOPHj9f7er755pt264IDKsLXpk2b9La9/fbbWLBggcHTbiqVCps3b8bTTz8NpVJp1fepXC7HRx99hODgYIwdOxb79u0zO7FmSkoKZs+ejQkTJujdf/fu3fVa6OqLMWPG2DTjOSE1yiGLrBDyXzdv3mT+/v4G60+1atWKjRkzho0fP551795db9/MmTMtXn/M1DpYIpGI9enTh40aNYq9+OKLbOzYsaxXr17Mzc3NaPl33nnH7H1UXrstMjLSrp8nS9aGM6dfv35G76sm1obTaDSsffv2Fq0zZmzNPZVKxYYMGWL0azZ06FA2efJkFh0dbXRR5CeeeKLKtdGqa/78+QbXEwqFbNCgQWzy5Mls+PDhemvziUQitnnzZovWhjO3tmDr1q3Zk08+ySZMmMAmTZrEhg0bxkJCQoyWDQ4OZunp6Wbvo/LPRFXrHlrLkrXhTDl8+LDJzwOtDUccicIScbj4+HjWuHFji365jho1iimVSovD0qxZsxiPx7N6sVDty9PTk23atKnKe6jrYen48eO1FpYYY+zatWusWbNm1QpLjDGmUCjYxIkTrfpajRs3jpWWltbI/TBWEQLnzJljUV08PDzY0aNHDb5upsLS1atXjf7RYM1ryJAh7M6dO1XeR10OS4wxNnDgQApLpM6hbjjicF27dkVycjJmzpwJNzc3o2VatWqFL774AgcOHICLi4vF5/7+++9x//59bNq0CePGjTOYN8eUsLAwrFy5Ejdu3MCrr75q8fXqqsGDBxtMsFmTOnbsiGvXrmHTpk0YNWoUmjdvDpFIZHE3plAoxM8//4xDhw6hX79+Jo/j8Xjo3bs3Dh48iH379lV7gWVL8Hg8fPPNN/j9999NdvM5Ozvj2WefRVxcHIYOHWrxuTt37oycnBycOHECCxcuRM+ePfXGbpni6uqKcePG4eDBgzh27JjeNAf1VX1Znoc0LDzGrBj1SkgNKykpwYkTJ5CZmQm5XI6goCC0adMGvXv3ttt4ofv37+PmzZu4c+cOiouLUVpaCnd3d3h6eqJZs2bo1q2bXSY0JPaTm5uLf//9Fzk5OSgqKoKXlxcCAwMRERGht3BwbUpISEBCQgJycnIgFosRHByMiIgI+Pv72+X8crkcqampSE1NRW5uLkpKSgBUzJ/k6+uLDh06oH379nBycrLL9QghplFYIoQQQggxg7rhCCGEEELMoLBECCGEEGIGhSVCCCGEEDMoLBFCCCGEmEFhiRBCCCHEDApLhBBCCCFmUFgihBBCCDGDwhIhhBBCiBkUlgghhBBCzKCwRAghhBBiBoUlQgghhBAzKCwRQgghhJhBYYkQQgghxAwKS4QQQgghZlBYIoQQQggxg8ISIYQQQogZFJYIIYQQQsygsEQIIYQQYgaFJUIIIYQQMygsEUIIIYSYQWGJEEIIIcQMCkuEEEIIIWZQWCKEEEIIMYPCEiGEEEKIGRSWCCGEEELMoLBECCGEEGIGhSVCCCGEEDMoLBFCCCGEmEFhiRBCCCHEDApLhBBCCCFmUFgi5L8YY5g9ezZ8fX3B4/GQkJDg6Co9Vm7evInAwECUlJQ4uioWe//99zF79uwqy9XVe1uxYgW6du3q6GpUW35+PgICAnD//v1auV5ZWRmaN2+Oy5cv621fsmQJXn/99VqpA6mbKCwR8l+HDx/G9u3bcfDgQWRnZ6Njx444ffo0nn76aQQFBYHH4+H333+vlbrExMSge/fuEAqFaN26NbZv317lMYmJiRg4cCBcXV0REhKCjz/+WG//9u3bwePx9F6urq4mzzd37lzweDxs3LhRb/uaNWvQv39/uLu7w9vb2+J7Wrp0KV5//XWIxWIAgEKhwPTp09GpUyc4OTlhzJgxFp+rNuTk5ODzzz/Hu+++W2XZyvcGVP31MKegoADBwcHg8XgoKioy2D99+nRkZGRYfL7KVq5ciRdffJF7f/78eTz55JPw8PCAp6cnnnjiCZSWlnL7CwsL8cILL8DT0xPe3t6YOXMmpFJpta+vy9y1/f39MXXqVCxfvtzosVFRUSbPa2zfunXr0KtXL4jFYgQEBGDMmDG4efMmt9/FxQVvvvkmFi9erHfcm2++iR07duD27dvW3yB5LFBYIuS/0tPT0aRJE/Tv3x+BgYFwcnKCTCZDly5dsGnTplqrx507dzBy5EgMGjQICQkJeOONNzBr1iwcOXLE5DESiQTR0dEIDQ3FlStX8Mknn2DFihX47rvv9Mp5enoiOzube929e9fo+X777TfExsYiKCjIYF9ZWRnGjx+PV155xeJ7yszMxMGDBzF9+nRum1qthpubG+bPn48hQ4ZYfK7asmXLFvTv3x+hoaFmyxm7N0u/HqbMnDkTnTt31ttWWFiITZs2gTHGbUtPT8fu3bstv6n/OnDgAJ555hkAFWFl+PDhiI6OxsWLF3Hp0iXMmzcPfP7/fj288MILSEpKwrFjx3Dw4EGcPn3aoha3qlhy7RkzZmD37t0oLCwEAJw9exbHjx/XO8/x48dx7tw5s/sA4NSpU3jttdcQGxuLY8eOQaVSITo6GjKZTO9e//33XyQlJXHb/P39MWzYMGzevNnmeyb1FCOEsGnTpjEA3Cs0NNSgDAD222+/1Xhd3n77bdahQwe9bRMnTmTDhg0zeczXX3/NfHx8mFKp5LYtXryYhYeHc++3bdvGvLy8qrz+/fv3WdOmTdn169dZaGgo27Bhg9Fylp6PMcY++eQT1rNnT5P7p02bxkaPHm3RuRhj7Pvvv2dt27ZlQqGQhYeHs02bNnH7ZsyYwTp16sQUCgVjjDGlUsm6du3KpkyZwhhj7M6dOwwA++mnn1i/fv2YUChkHTp0YDExMXrX6NChA/vqq6+qdW+WfD1M+frrr1lkZCT7559/GAD26NEjxhhjMpmMLV26lEVHR7PBgwezxYsXswEDBrCzZ89yx65bt44FBAQwkUjEXnrpJbZ48WLWpUsXvfNnZmYyFxcXVlxczBhjrE+fPuy9994zWZ/k5GQGgF26dInbdujQIcbj8VhWVha37cyZM2zAgAHM1dWVBQcHs9dff51JpVKz91rVtbVatGjBtmzZwtX/ueeeY6+88grr3r07e+WVV9j48eNZZmam2X3G5ObmMgDs1KlTetsHDRpkUK8dO3aw4ODgKutKHk/UskQIgM8//xyrVq1CcHAwsrOzcenSpWqf68yZMxCJRGZf5loDzp8/b9DSMmzYMJw/f97sMU888QRcXFz0jrl58yYePXrEbZNKpQgNDUVISAhGjx6t99czAGg0GkyZMgVvvfUWOnToYO2tm3TmzBn07NnTLufavXs3li1bhjVr1iAlJQVr167F+++/jx07dgAAvvjiC8hkMixZsgQA8O6776KoqAhfffWV3nneeustLFq0CPHx8ejXrx+efvppFBQUAKhoxUlOTraozsbuzdKvR2XJyclYtWoVdu7cqde6AgDu7u5Yu3Yt/u///g8xMTGIjY3FiRMn0L9/fwDA3r17sWLFCqxduxaXL19GkyZN8PXXXxtc448//kBUVBQ8PT2Rm5uLCxcuICAgAP3790fjxo0RGRmJf//9V+9evL299e5xyJAh4PP5uHDhAoCKFq7hw4fj2WefRWJiIn755Rf8+++/mDdvnsl7teTaWr1798aZM2cAACEhIfj111/h5eWFuLg4eHt7Y+/evQgJCTG7z5ji4mIAgK+vr8nr6W67f/++Td2fpP6isEQIAC8vL4jFYggEAgQGBqJRo0bVPlfPnj2RkJBg9qXtAjEmJycHjRs31tvWuHFjSCQSvXEklhyj3QcA4eHh2Lp1Kw4cOIBdu3ZBo9Ggf//+eoNnP/roIzg5OWH+/PnVundT7t69a7RLrzqWL1+OTz/9FOPGjUOLFi0wbtw4LFiwAN9++y0AQCQSYdeuXdi0aROWLVuGjRs34scff4Snp6feeebNm4dnn30W7dq1w+bNm+Hl5YUffvgBQEXXGmPMojobuzdLvh6VKZVKTJ48GZ988gmaNWtmsF+hUGDZsmX4/PPPERUVhb59+2LIkCG4ePEiAGDjxo2YOXMmZs6cifDwcHzwwQdo3769wXl0u+C0Y3BWrFiBl19+GYcPH0b37t0xePBgpKWlcfUNCAjQO4eTkxN8fX25e1m3bh1eeOEFvPHGGwgLC0P//v3xxRdfYOfOnVAoFEbv15JrawUFBXFdxllZWZg0aRKKiorQvXt3PHr0CJMmTUJWVpbZfZVpNBq88cYbiIiIQMeOHU1eT3cbAJNd1+TxRmGJEDtzc3ND69atzb50BwLXln79+mHq1Kno2rUrIiMjsX//fjRq1IgLGVeuXMHnn3/ODQS3p9LSUrODyY3JzMzUa41bu3YtZDIZ0tPTMXPmTL19H3zwAdLT0/Xu9c0338Tq1auxaNEiDBgwwOD8/fr14z52cnJCz549kZKSwtUXgF6dd+/erXdNbctDde7NmKVLl6Jdu3Z6A691yeVyNG7cGIcPH0ZwcDDmzp2LrVu3IjU1FQCQkpKCPn36mLxHoGIs1alTp7iwpNFoAABz5szBjBkz0K1bN2zYsIEL1pa6evUqtm/frvf5GTZsGDQaDe7cuYO1a9fq7cvMzLTq2m5ubpDL5QCAjIwMzJo1C5s3b4ZYLMbmzZsxa9YsZGRkmN1X2WuvvYbr16/j559/Ntinez3dbQAMtpOGwcnRFSDkcXPmzBk89dRTZst8++23eOGFF4zuCwwMxMOHD/W2PXz4EJ6entx/2JYeo91njLOzM7p164Zbt25x9c7NzdVr1VCr1Vi0aBE2btxoU/eDv7+/2e4nY4KCgvSmb/D19eWewPr+++8NgoFAIOA+1mg0OHv2LAQCAXd/1tYXAB49esS1Mj7zzDN612zatClXtvK9VefrceLECVy7dg3/+c9/AIAbyO3v7493330XK1euxGuvvaZ3TKtWrdCqVSuL7+vQoUNo37491y3VpEkTADBogWrXrh0yMzO5+ubm5urtLy8vR2FhIXcvUqkUc+bMMdoi2axZM8ydOxcTJkzgtgUFBUGtVld5ba3CwkLu6xAREWFwDXMPCBjbN2/ePG6genBwsMF+3evpbgNgU6szqb8oLBFiZ9puOHMqd9Ho6tevH/7++2+9bceOHTNoJah8zLvvvguVSgVnZ2fumPDwcPj4+Bg9Rq1W49q1axgxYgQAYMqUKUbHSk2ZMgUzZswwez9V6datG5KTk606xsnJCa1btzbYHhQUhNu3b5sMmwDwySef4MaNGzh16hSGDRuGbdu2GdxDbGwsnnjiCQAVv/yvXLnCjbFp1aoVPD09kZycjDZt2gAAxGKx0RZBY/dWna/Hvn379LpZL126hJdeeglnzpwxCETGppJo164dLly4gKlTp+rdo64DBw5g9OjR3PvmzZsjKChI7/F5AEhNTeUCf79+/VBUVIQrV66gR48eACqCnUaj4cJj9+7dkZycbPTrBVQE3crjgiy5ttb169eNTgUQExNj9Hqm9jHG8Prrr+O3335DTEwMWrRoYfTY69evo1u3bgbbnJ2d7TqWj9QjDh5gTkidsWHDBoOn4EpKSlh8fDyLj49nANhnn33G4uPj2d27d2usHrdv32bu7u7srbfeYikpKWzTpk1MIBCww4cPc2W+/PJL9uSTT3Lvi4qKWOPGjdmUKVPY9evX2c8//8zc3d3Zt99+y5VZuXIlO3LkCEtPT2dXrlxhkyZNYq6uriwpKclkXYw9DXf37l0WHx/PVq5cyUQiEff5KSkpMXmeP/74gwUEBLDy8nK97UlJSSw+Pp49/fTTLCoqijuXOd9//z1zc3Njn3/+Obt58yZLTExkW7duZZ9++iljjLG4uDjm4uLC/vjjD8YYY99++y0Ti8UsPT2dMfa/p+GaNWvG9u/fz1JSUtjs2bOZSCRieXl53HXGjRvHFi1aZLYupu7Nkq/H/v37zT4dd/LkSb2n4ary888/M1dXV7Z161Z28+ZNtmzZMiYWi7mn4VQqFfP29mZXrlzRO27Dhg3M09OT/frrrywtLY299957zNXVld26dYsrM3z4cNatWzd24cIF9u+//7KwsDA2efJkbv/Vq1eZm5sbe+2111h8fDxLTU1lv//+O3vttdfM1tmSa8tkMubm5sZOnz5t0efBnFdeeYV5eXmxmJgYlp2dzb3kcrleudDQULZz5069bcuXL9f7mSMNC4UlQv7LWFjS/sKq/Jo2bVqN1uXkyZOsa9euzMXFhbVs2ZJt27ZNb//y5csN6nr16lU2YMAAJhQKWdOmTdmHH36ot/+NN95gzZo1Yy4uLqxx48ZsxIgRLC4uzmw9jIWlytMsaF8nT540eR6VSsWCgoL0Ap/2/MbOVZXdu3dznx8fHx/2xBNPsP3797PS0lLWvn17Nnv2bL3yzzzzDOvfvz8rLy/nwtKePXtY7969mYuLC2vfvj07ceKE3jF///03a9q0KVOr1WbrYureqvp6bNu2zey9WhuWGGNszZo1zN/fn4lEIjZt2jT29ttvc2Hp+PHjJh99X7duHQsODmbu7u6sX79+7MyZM3r7CwoK2OTJk5lIJGKenp5sxowZBuH44sWLbOjQoUwkEjEPDw/WuXNntmbNmirrXNW19+zZY9GUC5Yw9r0GQO/n69y5c8zb29sgQIWHh7OffvrJLvUg9Q+PMZ0ZzgghpIZs2rQJf/zxh9nJNWtDRkYGWrRogfj4eLNLgTDG0KdPHyxYsACTJ082e866cm/mzJ8/H+Xl5UanE6jL+vbti/nz5+P555+vletNnDgRXbp0wTvvvMNtO3ToEBYtWoTExEQ4OdHolYaIvuqEkFoxZ84cFBUVoaSkxCFPA1qLx+Phu+++w7Vr16osWx/urWPHjmbHvdVF+fn5GDduXJVh1V7KysrQqVMnLFiwQG+7TCbDtm3bKCg1YNSyRAhpUCxtWSKEEC0KS4QQQgghZtCklIQQQgghZlBYIoQQQggxg8ISIYQQQogZFJaqiTEGiUQCGvJFCCGEPN4oLFVTSUkJvLy8UFJS4uiqEEIIIaQG1euwxBjD/v37MWjQIDRp0gTu7u4IDw/HnDlzcPv2bYPyEokECxcuRGhoKIRCIZo3b4633nqLW5yTEEIIIaSyej11wKJFi/DZZ5+hSZMmGD16NDw9PXH16lUcPXoUIpEI586dQ8eOHQFUTCo2YMAAJCQkIDo6Gt26dUN8fDyOHj2KXr164fTp03B1dbX42hKJBF5eXiguLoanp2dN3SIhhBBCHKzeTkeak5ODjRs3IjQ0FFevXoWXlxe3b8OGDVi4cCE+++wzbN26FQDw8ccfIyEhAYsXL8aHH37IlV2yZAk++ugjbNiwAUuXLq31+yCEEEJI3VZvu+EyMjKg0WgQERGhF5QAYNSoUQCAvLw8ABXddVu2bIFIJML777+vV/b999+HSCTCli1baqfihBBCCKlX6m1YCgsLg4uLC86ePQuJRKK37+DBgwCAwYMHAwDS0tLw4MEDREREwMPDQ6+sh4cHIiIicPv2bdy7d692Kk8IIYSQeqPedsP5+fnhww8/xKJFi9C2bVu9MUsnTpzAq6++innz5gGoCEtARcAyJiwsDEeOHEFaWhpCQkJq7R4IIYQQUvfV27AEAAsWLEDTpk0xa9YsfPPNN9z2AQMG4Pnnn+dWiC4uLgYAg+46Le0AbW05Y5RKJZRKJfe+cmsWIYQQQh5P9bYbDgBWrVqFF198Ee+88w7u3buHkpISnDlzBgqFAlFRUfjjjz/sdq1169bBy8uLe1ELFCGEENIw1NuwdPz4cSxfvhzz5s3DkiVLEBwcDJFIhAEDBuDPP/+Es7MzFi1aBOB/LUqmWo60rUSmWp4AYOnSpSguLuZeNL6JEEIIaRjqbTfcoUOHAACDBg0y2BcYGIi2bdsiPj4eUqmUG6ukHbtUWVVjmgBAKBRCKBTaWm1CCCGE1DP1tmWprKwMwP+mB6gsLy8PfD4fzs7OCAsLQ1BQEM6ePQuZTKZXTiaT4ezZs2jRogV1rRFCCCENiEKhMLriR2X1NixFREQAAD777DOD7rVvvvkG9+/fR79+/SAUCsHj8TBr1ixIpVKsXr1ar+zq1ashlUrx8ssv11rdCSGEEOJYcrkciYmJyMzMrLJsvV3uRK1W48knn8Tp06cREBCAZ555Bt7e3oiLi8OJEyfg5uaGmJgY9O7dG0BFC1JERASuXr2K6OhodO/eHXFxcdxyJ6dOnYKbm5vF16flTgghhJD6SSqV4vr168jLy4O7uzs3L6Mp9TYsARWP82/YsAF79+7FzZs3UVZWhsaNG2PQoEF455130K5dO73yxcXFWLFiBfbt24ecnBw0adIE48ePx/LlyyEWi626NoUlQgghpP4pLi5GUlIS9/tboVA83mHJkSgsEUIIIfXLo0ePcP36dchkMvj7+0OlUkEul1cZlurt03CEEEIIIZbKz89HcnIySktL4e/vDx6PZ/GxFJYIIYQQ8lh7+PAhUlJSoFKp4OfnZ1VQAigsEUIIIeQx9uDBA9y4cQMajQa+vr7VOgeFJUIIIYQ8dhhjuH//Pm7evAk+nw8fH59qn4vCEiGEEEIeK4wxZGRkIC0tDS4uLlY/8V4ZhSVCCCGEPDY0Gg1u376N9PR0uLm5wcPDw+ZzUlgihBBCyGNBo9EgLS0Nd+7cgYeHB9zd3e1yXgpLhBBCCKn31Go1bt68ibt378LT0xOurq52OzeFJUIIIYTUayqVCjdv3sS9e/fg5eUFoVBo1/NTWCKEEEJIvVVWVobk5GQ8ePAAPj4+cHFxsfs17BaWcnNzkZiYiIyMDBQWFqK0tBRubm7w9fVF8+bN0aVLFzRq1MhelyOEEEJIA6dQKJCcnIycnBz4+vrC2dm5Rq5jU1g6fvw49u/fj8OHD+Pu3btVlm/evDmGDRuGsWPHYsiQIVbPoEkIIYQQAgByuRzJycnIzc2Fn58fnJxqrrPM6oV0Hz16hG+++QabN29GVlYWt92S0+iGo6CgILz66quYO3euTRNFOQotpEsIIYQ4hlQqRVJSEgoKCuDv7w+BQFCt85SVlVm0kK7FYamkpATr16/Hxo0bIZVK9cKRu7s7evXqhXbt2sHX1xd+fn7w9PREcXExCgoKUFhYiOTkZFy5cgVyufx/F+fx4OHhgQULFuDNN9+0edKo2kRhiRBCCKl9EokESUlJKCoqgr+/P/h8frXPZdewtHPnTixevBi5ublgjIHH46F///549tlnERUVhc6dO1tUWbVajcTERJw+fRr79u3D2bNnufMFBATg448/xpQpUyy/SweisEQIIYTUrqKiIly/fh0lJSU2ByXAzmFJWxlPT0/Mnj0bc+bMQatWrWyqIADcvn0b33zzDb777jtIJBLw+XyUl5fbfN7aQGGJEEIIqT0FBQVISkpCaWkp/Pz87DLu2dKwZFEkE4lEWLlyJe7evYuPP/7YLkEJAFq2bImPP/4YmZmZWLFihd1m2iSEEELI4yM3NxfXrl2DQqGwW1CyhkUtS7m5uQgICKjxyuTl5dWb6QWoZYkQQgipednZ2UhJSYFGo7H7A2GWtixZ9JxdbQQlAPUmKBFCCCGk5t2/fx83b94Ej8dz6JPzNIM3IYQQQuoUxhju3r2LtLQ0ODk5ObwHh8ISIYQQQuoMxhhu376NW7duwdXVFSKRyNFVqtmwdPbsWZw+fRr3798HADRt2hRPPPEEBgwYUJOXJYQQQkg9pNFocOvWLdy+fRseHh515sGvGglLN2/exJQpU3DlyhWj+7t3744ff/wRbdu2rYnLE0IIIaSeUavVSE1NRUZGBsRiMdzc3BxdJY7dw9L9+/cRGRmJvLw8MMbQpEkThISEQCqVIiMjA3K5HFeuXEFUVBQuX76M4OBge1eBEEIIIfVIeXk5bty4gXv37sHLywtCodDRVdJj29SXRqxatQq5ubno1KkT/v33X2RlZSE2NhbXr19HXl4ePv30Uzg7OyMvLw+rV6+29+UJIYQQUo+UlZUhKSkJmZmZ8Pb2rnNBCaiBlqVDhw5BIBDgwIEDCA0N1dvn5uaGBQsWICcnB5988gn++usve1+eEEIIIfWEUqlEcnIysrOz4evrC2dnZ0dXySiLW5YmTZqEvLy8Ksvl5ubC19fXICjp6tmzJwAgPz/f0ssTQggh5DFSWlqK69evIzs7G35+fnU2KAFWhKW9e/eiXbt22Lp1q9lyAQEBKCgoQGZmpskyly9fBkCTUBJCCCENkUwmw7Vr1/Dw4UP4+/vDyaluz2RkcVgaOnQoCgsL8fLLL+PJJ59EWlqa0XJPPfUUNBoNxo4di4sXL+rtUygU+OKLL7Bx40bweDw89dRTttWeEEIIIfVKSUkJEhMTUVBQgEaNGkEgEDi6SlWyaG04rV27dmHRokXIy8uDq6sr3n33XSxevFgvEWZlZaF79+5cF1tQUBCCg4Mhk8lw584dyOVyMMbg5+eHuLg4hISE2P+uagGtDUcIIYRYp6ioCElJSSgpKYGfnx/4fLs/Z2YVS9eGs6qWL774IlJSUjB16lQoFAosW7YM3bt3R2xsLFemadOmiImJQZcuXcAYQ1ZWFi5cuIDr169DJpOBMYbOnTvjxIkT9TYoEUIIIcQ6hYWFSExMhFQqhb+/v8ODkjWsalnSdeLECcyZMwfp6eng8/mYO3cu1q1bB7FYzJU5ffo0Tp8+jaysLAAVQWrgwIGIjIy0T+0diFqWCCGEEMvk5eUhOTkZCoUCfn5+4PF4jq4SAMtblqodloCKR/5WrFiBTz/9FGq1Gk2bNsUXX3yBMWPGVPeU9QaFJUIIIaRqOTk5SElJQXl5OXx8fOpMUAJqqBuuMqFQiHXr1uHKlSvo1asX7t+/j2effRbPPvssHjx4YMupCSGEEFLPlZaW4ubNm1Cr1fD19a1TQckadukw7NSpE86fP4/PP/8cIpEIv/32G9q3b49vvvnGHqcnhBBCSD0kkUhQWloKLy8vR1fFJnYbXcXj8fD6668jOTkZTz/9NCQSCV577TUMGDAAKSkp9roMIYQQQuqJ4uJiMMbq1WBuY6pd+1u3biE2NhbXrl2DQqHgtjdt2hQHDhzA3r170bhxY5w7dw7dunXD8uXLUVZWZpdKE0IIIaRu02g0yM/Ph6urq6OrYjOrwlJ5eTlWrVqFxo0bIzw8HBEREejatSu8vb0xYcIEZGRkcGWfe+453LhxA7Nnz4ZKpcIHH3yALl264PTp0/a+B0IIIYTUMVKpFHK5vGGFJZVKhaeeegorV65EXl4eGGPcq6ysDPv27UPPnj1x48YN7hhPT0988803OH36NNq2bYubN29i0KBBmD17NoqLi2vkhgghhBDieCUlJVCpVHBxcXF0VWxmcVj64osv8M8//4AxhsGDB+PPP/9EcnIyTp8+jUWLFsHZ2RmFhYWYNWuWwbERERFISEjA8uXL4eLigh9++AHt2rXD3r177XozhBBCCKkbCgsL6/1YJS2L51nq1q0bEhMT8eSTT+Lo0aMGj/9t2rQJr7/+Ong8HtLT09G8eXOj57lx4wbmzJmDM2fOgM/no7y83OabcASaZ4kQQggxTqVS4dy5cwAAkUjk4NqYZvd5llJTUwEAkydPNjpPwuTJk7mPTS2yCwBt27bFqVOn8O2339otZPz2228YOnQo/Pz84OrqihYtWmDy5Mm4d++eXjmJRIKFCxciNDQUQqEQzZs3x1tvvQWpVGqXehBCCCGkogtOoVDAzc3N0VWxC6eqi/y34H8XyzUVLGQymUFZc15++WWMHj3a0ssbxRjD3Llz8d1336FVq1aYNGkSxGIxHjx4gFOnTuHu3bvc+nMymQyRkZFISEhAdHQ0Jk+ejPj4eKxfvx6nTp3C6dOnH4tBaIQQQoijSSQSaDQaCAQCR1fFLiwOS127dsWZM2ewefNmvPTSSwbNah999BGAivmWOnfubNE5AwICrKiqoS+++ALfffcdXn31VXzxxRcGXxTdLr6PP/4YCQkJWLx4MT788ENu+5IlS/DRRx9hw4YNWLp0qU31IYQQQgiQn58PZ2dnR1fDbiwes7R3715MmjQJPB4PjRs3xtSpU9GiRQsUFhbi4MGDiI2NBQBMmDABP/30U41WGqiYQr1p06bw8fHBzZs3zbZmMcYQHBwMiUSCnJwceHh4cPtkMhkCAwMREBCA9PR0i69PY5YIIYQQQ6WlpYiNjYWzs3Od74azdMySxS1LEyZMwKVLl/Dpp58iJycHn3zyCbdPm7e6deuGzZs3V7PK1jl69CgePXqEGTNmQK1W448//kBqaiq8vb0xZMgQtG7dmiublpaGBw8eYNiwYXpBCQA8PDwQERGBI0eO4N69e1y3HSGEEEKsJ5FIoFQq6/TAbmtZHJYA4JNPPkF0dDQ2b96M2NhY5Ofnw8PDA+3atcOkSZMwd+7cWptP4cqVKwAAgUCAzp07cwPQAYDP52PBggVYv349gP8NOA8LCzN6rrCwMBw5cgRpaWkUlgghhBAbaOdRfFymDQCsDEsAMHToUAwdOrQm6mKV3NxcAMBnn32G7t274+LFi2jXrh3i4+Mxe/ZsfPrpp2jVqhVeeeUV7gtnaiE/bTeauYkylUollEol914ikdjrVgghhJDHgnaJE6FQ6Oiq2FW9jX0ajQYA4OLigt9//x29evWCSCTCwIED8euvv4LP5+PTTz+12/XWrVsHLy8v7kUtUIQQQog+mUz22CxxoqvehiVtK1HPnj0RFBSkt69jx45o2bIl0tPTUVRUxJU11XKkbSUy1fIEAEuXLkVxcTH3qjyHEyGEENLQSSQSqFSqx+pJOKAa3XB1RXh4OADA29vb6H7t9tLSUm6skqnJMqsa0wQAQqHwsWtWJIQQQuxJu8SJscmr6zOLWpbGjx+P27dv12hFrl27hjFjxlhcftCgQQCAlJQUg30qlQq3bt2Ch4cHGjVqhLCwMAQFBeHs2bN6k2cCFU2GZ8+eRYsWLahrjRBCCKmm8vJyPHr06LHrggMsDEv79u1Du3btMGPGDKPhxBbXr1/HxIkT0a1bN/z5558WH9eqVStER0fj1q1b2LJli96+Dz/8EEVFRRg7diycnJzA4/Ewa9YsSKVSrF69Wq/s6tWrIZVK8fLLL9vlfgghhJCGSCKRPFZLnOiyaFLKIUOG4MSJE1yz2sCBAzF9+nSMHj0aPj4+Vl80Pz8fe/bswc6dOxEfHw+gYq6mwYMH49ixYxafJz09Hf3790dubi5GjhyJtm3bIj4+HidOnEBoaChiY2MRGBgIoKIFKSIiAlevXkV0dDS6d++OuLg4HD16FL169cKpU6es+gLTpJSEEELI/2RkZCAlJcXm1Tlqk6WTUlo1g/fSpUtx584dLjQJBAJ06NABffv2RZ8+fdC2bVv4+vrCz88PYrEYEokEhYWFKCwsREpKCi5cuIALFy4gKSkJarWam8yyVatWWLt2LcaPH2/1jd67dw/Lli3D4cOHUVBQgMDAQDzzzDNYtmyZwResuLgYK1aswL59+5CTk4MmTZpg/PjxWL58OcRisVXXpbBECCGE/M/ly5dRVFRUrUYUR7F7WAIq+iO3bt2KTz/9lBsUXZ1BXNpLhoeH480338S0adMsWny3LqGwRAghhFSoT0uc6LI0LFk1dYCTkxNmz56NGzdu4PDhw5g0aRJEIhEYYxa/PD098eKLL+Lo0aNISUnBzJkz611QIoQQQsj/lJSUQKFQPLZPjVcrpfB4PERHRyM6OhoqlQrnzp3DhQsXcO3aNWRkZKCwsBBKpRJCoRB+fn5o0aIFOnXqhL59+6Jfv34QCAT2vg9CCCGEOEhRURF4PN5jtcSJLpubdJydnREZGYnIyEh71IcQQggh9cjjusSJrsczAhJCCCGkVjyuS5zoorBECCGEkGp7XJc40UVhiRBCCCHV9ujRo8dyiRNdFJYIIYQQUi3l5eUoLCx8rLvgAApLhBBCCKkm7RInFJYIIYQQQoyQSCRQq9WP/XyJFJYIIYQQUi35+fmP9cBuLQpLhBBCCLGaQqFASUnJY98FB1BYIoQQQkg1aMcrPc6TUWpRWCKEEEKI1YqLiwHgsV3iRNfjf4eEEEIIsSvG2GO/xIkuCkuEEEIIsYpUKoVcLoebm5ujq1IraiwsFRUV4d69eygqKqqpSxBCCCHEASQSCcrKyhrEk3CAHcOSVCrFV199haioKIjFYvj5+aF58+bw8/ODWCzGoEGD8PXXX0MqldrrkoQQQghxgIawxIkuHmOM2XqSP//8E7Nnz0Zubi6Air5Mgwv99xMaEBCA77//HqNGjbL1sg4lkUjg5eWF4uJieHp6Oro6hBBCSK0oLy/HuXPnwBiDSCRydHVsUlZWBrlcjsGDB5stZ3PL0s6dOzFu3Djk5uaCMQbGGMRiMbp27YqIiAh07doVnp6e3L6HDx9izJgx+PHHH229NCGEEEJqWUlJSYNY4kSXTWHp1q1bmDt3LtRqNRhjGDt2LM6fP4/i4mLExcXhzJkziIuLQ1FREWJjY/Hss88CADQaDebMmYP09HS73AQhhBBCakdDWeJEl01hacOGDVAoFODxePj444+xb98+9OnTx2jZ3r1749dff8X69esBAEqlEhs2bLDl8oQQQgipZQ1liRNdNoWlo0ePgsfj4YknnsCbb75p0TELFy5EZGQkGGM4cuSILZcnhBBCSC1qSEuc6LIpLGVlZQEAnnvuOauO05bXHk8IIYSQuq8hLXGiy6YOR5FIBKVSicaNG1t1XEBAAHc8qR0lJSXVmrZBJBJBLBbXQI0IIYTUN8XFxWCMNYglTnTZFJZat26NgoICZGZmWnXcvXv3AABhYWG2XJ5Y4cqVKzh16pTVx0VGRiIqKsr+FSKEEFKvNLQlTnTZFJYmTpyI2NhY7NmzBwsWLLBocirGGHbv3g0ej4dJkybZcnlihR49eiA8PNxge35+Pvbv349x48bB39/fYD+1/hFCCAH+t8SJu7u7o6tS62wKS3PnzsW2bdsQHx+PBQsWYOPGjVUes3DhQsTHx6Nr166YM2eOLZcnVhCLxWa70/z9/dGkSZNarBEhhJD6RLvEiZeXl6OrUuts6nQUCoX466+/0KdPH3z55Zfo27cv/vOf/+DRo0d65YqKivDrr7+iX79++OKLL9CvXz/89ddfcHFxsanyhBBCCKkdDW2JE10WtSy1bNnS7H6VSgXGGC5duoSJEycCAHx8fODh4QGZTMaFJ8YYeDweMjMzERERAR6PRxNTEkIIIXVceXk5CgsLG9yUAVoWhaWMjAzweDyja74BFeu+aZOmtkxhYSEKCwsNygHAgwcPuOBECCGEkLpNu8RJQ+yCAywMS82aNaNgQwghhDRQDXGJE10WtywRQgghpGEqKChosEEJsHGANyGEEEIebwqFAhKJBG5ubo6uisNQWCKEEEKISQ11iRNdFJYIIYQQYlJDXeJEl107IPPz8/HXX38hNjYW2dnZKCkpgVgsRlBQEPr06YORI0canSWaEEIIIXVPQ17iRJddwpJcLsfbb7+NrVu3QqlUGi3z7bffQigUYtasWfjoo48adN8nIYQQUh/IZDLI5fIG/zvb5ja1/Px89OrVC5s3b4ZCoQBjzORLoVBg06ZN6NWrFwoKCuxRf0IIIYTUEO0SJw19xQ2bW5aeffZZpKSkAADc3NwwefJkDBs2DG3atIFIJIJUKkVqaiqOHDmCn3/+GXK5HMnJyXj22WcRExNj6+UJIYQQUkMa8hInumwKS7/99hvOnDkDHo+Hrl27Yv/+/QgNDTUo16VLF4wfPx7vv/8+nnvuOVy5cgVnzpzBgQMHMHr0aFuqQAghhJAa0NCXONFlUzfczz//DABo1KgRjh07ZjQo6QoNDcXhw4cREBAAANizZ48tlyeEEEJIDSkpKUFpaSmFJdgYli5cuAAej4eXXnoJvr6+Fh3j5+eHmTNngjGGCxcu2HJ5Ax999BG3Tl1sbKzBfolEgoULFyI0NBRCoRDNmzfHW2+9BalUatd6EEIIIfVdQ1/iRJdNYSk3NxcA0LlzZ6uO69Spk97x9nD9+nUsX74cHh4eRvfLZDJERkZiw4YNaNu2LRYsWIDw8HCsX78eTz75JBQKhd3qQgghhNR3DX2JE102hSXt6PiysjKrjtOWd3Z2tuXyHJVKhWnTpqFr164YO3as0TIff/wxEhISsHjxYhw5cgQffvghjhw5gsWLF+PSpUvYsGGDXepCCCGE1He0xIk+m8JSUFAQAODMmTNWHXf69GkAQNOmTW25PGfNmjVISkrC1q1bIRAIDPYzxrBlyxaIRCK8//77evvef/99iEQibNmyxS51IYQQQuo7WuJEn01hKSoqCowx/Pjjj7h69apFxyQkJGDXrl3g8XiIioqy5fIAgLi4OKxZswbLly9H+/btjZZJS0vDgwcPEBERYdBN5+HhgYiICNy+fRv37t2zuT6EEEJIfUdLnOiz6bMwa9Ys8Hg8qFQqDBkyBPv37zdbfv/+/Rg6dCjKysrA4/Hw8ssv23J5KJVKTJ06FV27dsXbb79tslxaWhoAICwszOh+7XZtOUIIIaShoiVODNk0cqt79+6YO3cuNm/ejMLCQowfPx4tW7bE0KFD0aZNG3h4eEAmkyEtLQ3Hjh1Deno6GGPg8XiYO3cuunXrZlPlly1bhrS0NFy5csVo95tWcXExAMDLy8vofk9PT71yxiiVSr2lXCQSSXWqTAghhNRptMSJIZuHuX/55ZeQSCTYvXs3AOD27dv49ttvjZZljAEAXnjhBXzxxRc2Xff8+fNYv349VqxYgY4dO9p0LkusW7cOK1eurPHrEEIIIY6kXeLEVANDQ2RzZySfz8ePP/6IX375Bd27dze7NlyPHj3w66+/YufOnTb1g5aXl2PatGno3LkzlixZUmV57RfcVMuRtpXI3DfG0qVLUVxczL1ofBMhhJDH0aNHj7g5C0kFu02gMH78eIwfPx6ZmZm4cOECsrOzUVJSArFYjCZNmqBPnz5o1qyZXa4llUq58UWmFvfr168fgIolWbQDv02NSapqTBMACIXCGu2/VavVKCgogI+Pj92mVCCEEEKsoV3ihLrg9NkUlnbu3AkACAwMRHR0NACgWbNmdgtFpgiFQsycOdPovtOnTyMtLQ3PPPMMGjVqhObNmyMsLAxBQUE4e/YsZDKZ3hNxMpkMZ8+eRYsWLRASElKj9TZHIpEgOTkZLi4uaNasGRo3bkyhiRBCSK3SLnFCXXD6bApL06dPB4/Hw7vvvsuFpdrg5uZmcl6k6dOnIy0tDUuXLkXfvn257bNmzcKqVauwevVqfPjhh9z21atXQyqV4p133qnxeldFqVSivLwc165dQ2ZmJkJCQhAYGEihiRBCSK2gJU6Ms+mzIRKJIJPJTM5vVJe8/fbbOHDgAD766CPEx8eje/fuiIuLw9GjR9GrVy+88cYbjq4igIpxU4wxlJSU4Pr168jMzESzZs0oNBFCCKlxtMSJcTYN8G7SpAmAiuVG6joPDw+cOnUKb7zxBlJSUvDpp5/ixo0bWLRoEf7555861T8rEAjg7e0Nf39/KBQKXL9+HRcvXsS9e/fqxeeaEEJI/aNUKiGRSODq6uroqtQ5NoWlQYMGAQAuXbpkl8rYw/bt28EY0+uC0/Ly8sKGDRuQmZmJsrIy3L17F+vXr4dYLHZATavG5/O50KRUKvVCk7Xr8RFCCCHmaJc4obBkyKawNGfOHPD5fOzYsQNZWVn2qhOphM/nw8vLSy80Xbp0iQt9hBBCiK1oiRPTbPqMdOvWDWvWrEFJSQmGDh2KxMREe9WLGFE5NCUlJVFoIoQQYjNa4sQ8m6cOCAwMxFNPPYVDhw6he/fuGDBgAAYOHIjg4GCLxgFNnTrVlio0SNrQpNFoUFJSgqSkJL2B4KbmniKEEEKMkclkkMlkdWr8bl1il6kDAIDH40Gj0eDMmTM4c+aMRcfzeDwKSzag0EQIIcQeaIkT82x+PlC73pup96TmmQpNISEhaNKkCYUmQgghZtESJ+bZFJa2bdtmr3oQOzAWmu7du0ehiRBCiElqtZqWOKmCTWFp2rRp9qoHsSNtaBKLxZBKpQbdczSAjxBCiJZEIqElTqpA03Q+xvh8Pjw9PSESiSg0EUIIMYqWOKlatT8zWVlZSExMRHFxMby8vNCpUycEBwfbs27ETiqHpuTkZC40EUIIadhoiZOqWf3ZuXjxIhYsWIDY2FiDfX379sWGDRvQu3dvu1SO2Jex0KQdkE/zNBFCSMNDS5xYxqpJKY8ePYqoqCjExsaCMWbwOn/+PCIjI3HkyJGaqi+xA21o8vf3R3l5OQAgKSkJd+7cgVKpdHDtCCGE1BZa4sQyFoelkpISTJs2DQqFgmuNaN26Nfr374/WrVtz5ZRKJaZNmwaJRGL/2hK74vP5EIlEAIDy8nKkpKTgwoULFJoIIaSBoCVOLGPxZ+fHH3/Ew4cPwePx0LNnTyQlJSE1NRX//vsvUlNTkZyczHW/5eXl4ccff6yxShP7E4lEaNSoEdRqtV5oUigUjq4aIYSQGkBLnFjO4rB06NAhAIC/vz+OHDmCdu3a6e1v27YtDh06hICAAL3ypP7Qds/phqaLFy/i9u3bFJoIIeQxo13ihLrgqmZxWEpMTOSWJ/Hx8TFaxsfHB1OnTgVjDNeuXbNbJUnt0oamgIAAaDQa3LhxAxcvXkR6ejoePXoEtVrt6CoSQgixkXaJE5qwuGoWPw1XWFgIAOjatavZcl26dAFQ8SgisUxycjJiYmJQWlqKdu3aISAgoE5MOc/j8SAWi7mn51JTU+Hk5AR3d3cEBATAx8cHXl5ecHZ2dnRVCSGEWKmoqIiWOLGQxWFJJpNxvzzN0Q4YLi0tta1mDchff/2Ft99+m3svFArRtGlTBAcHcy/t+6CgoFoPJ9qvu1gshkqlQmlpKW7dugU+nw83Nzf4+/vD19cX3t7e1JxLCCH1gFqtRkFBAf2fbSGahaoOSE9P13uvVCpx+/Zt3L5926Asn89H48aNDUKU9qUNqzXF2dkZzs7O8PT0hFqtRmlpKTIzM3H37l24ubnB29sb/v7+8Pb2hoeHB/3FQgghdVBJSQktcWIFCkt1wPTp0xEaGooLFy4gPz8fWVlZePDggdGJIjUaDbKzs5GdnY1Lly4Z7Pfy8jIZpPz9/e36eKhAIIBIJIJIJIJGo4FSqURubi6ys7Ph4uICsViMgIAAeHt7w9PTkx5NJYSQOoKWOLGO1Z8laimwv759+yI8PBzdu3eHr68v+Hw+NBoNcnNzcf/+fdy/fx9ZWVl6/5qax6q4uBjFxcVISkoy2Kft3tOGqKZNm8LX1xf5+fk2z+Ct7ZJzc3MDYwxlZWWQSCTcNPoeHh5o1KgRjXMihJA6gJY4sQ6PaWeYrAKfz7c4KGlPWVV5Ho/HzSBd30gkEnh5eaG4uBienp42n+/Ro0e4ePEiF5Ysub5ueNJ95ebmwsIvK4cHoHFgoEFrlPZV1Vg1c7TjnBQKBXg8Htzd3bngROOcCCGkdimVSpw/fx4CgQDu7u6Oro5DlZWVQS6XY/DgwWbLVStWmvtFrDuy3tpf2MRynp6eaN++Pdq3b2+wT6lUIjs726BVSvuxsVYkBiAnJwc5OTm4cuWK0eu1bt0aXbp0QdeuXdG5c2eLA5SxcU53797F3bt34erqCh8fH/j7+8PLy4vGORFCSA3TLnHi5+fn6KrUG1aFJUvCDwUkxxMKhWjevDmaN29usE+j0SAvLw9Z336L+3/8gfsA98oCUGzinBKJBHFxcYiLiwNQEYpbtmyJLl26cK+mTZtWGXQqj3NSKBR4+PAhHjx4AKFQqDfOSSwW0zgnQgixM1rixHoWhyWNRlOT9SC1hM/no/Gff6LxH3+gu5H9JQCynn0W93v10uvay8zMRG5uLleOMYb09HSkp6dj//79AAA/Pz+98NS2bVuzfeJ8Ph/u7u5wd3cHYwxKpRLFxcXIz8+Hk5MTtwSLdpwT9a8TQohtaImT6qHfPg3Nli3AN9+Y3C0G0HbfPrRt1AiYNUtvX25uLq5evcq9UlNT9WbzLigowIkTJ3DixAkAFS1cHTt25MKTua47Ho8HV1dXbvySSqWCXC5HWloaF6p053OiH3RCCLGedokTNzc3R1elXrF4gDfR5+gB3tVSRVAyMHeuQWDSJZfLkZSUxIWnxMREyGQyk+Wr23WnHeeknejU1dUVvr6+8PPzg7e3N9zd3WmcEyGEWODBgwe4evUqGjVqRP9vwvIB3hSWqqnehSVrg5JWFYFJl1qtRnp6ul7rU3Z2ttljtF13Xbt2RZcuXRAeHm62u007zkkul0Oj0UAoFHKL/3p6esLFxQUuLi5wcnKi/wgIIaSS5ORkZGZmolGjRo6uSp1AYamG1auwVN2gpGVFYKqsqq67ylxdXdGhQweLuu6045xKS0uhUqkgEAggEAjg5OQEJycnuLq6wt3dHUKhkAtRzs7O3L/Ozs4UqAghDYZarca5c+egVqttmg7mcUJhqYbVm7Bka1DSsiEw6dJ23SUkJODq1au4du2a3bru1Go11Go1ysvL9f7VaDTg8XhgjHGBShuqXF1duck0tUGqcqiiQEUIeRwUFRXh4sWL9MCMDgpLNUwbls42aQKRHcKNRqNBmUpVMfmnHeoHAJDJKl52wtzdwbPz2nNqxpBeXo6rKhX3yq7iyUt/Ph9dnJ25V7iTE5y0gcbPD/jxR9PX+2+gqhyqtD8G2sdpnZycuFClG6gqByntv/QILiGkrsvMzMT169fRuHFjR1elzqjRSSnJ/6iys6Gy07kEdjpPTeHJ5YBcbtdzCgC0+e9r/H+35QK4qvNKBaDbcZev0eAfpRL/KJUAAFcAHQCEAvCVSuG7dy98fX31XmKxGDwejwtA5mg0Gi5IqdVqSCQSPHr0SK/7kMfjcd19AoEAQqEQbm5ucHV15br9KocqClSEEEcqKCigpaaqiVqWqqkhtizxRCLwxGKAMWgYA9No9FpkuHL/beXh8XgAj2fz/cg1GlzXaX26plJBZuW3rZOTE3x8fAxClK+vL3x8fODn56e3v6omao1Go9c6pf1YOx8ZY4wLZ9pQ5ebmBj8/P4jFYojFYpr+gBBSa2iJE+OoZamWdLxxw+5jlnh2bIFg338P3rff2nyeoFWr0OT99w22q1QqKBQKbu230tJSSCQSbtC1SlXR7sYYg5OTEzew2tnZucoWHi13AL3/+wKq99RdeXk58vLykJeXZ9E1PT09qwxU2pepJVq0gUobpIqKipCXlwc+n8/NVu7n5weRSEThiRBSo2iJE9tQWHpMMMZQXl7OBRSVSlXRyjF6NESlpXDfubPa5zYVlID/rftW+ckKtVoNhULBvUpLSyGVSiGVSqFUKiGTybhuLYFAwJ1H2wpjblC1QCBAmzZt0KZNG4wfX9F5V1BQgLy8PBQWFpp9Ve5OM0UikUAikSAjI6PKskKhsMpA5evri2bNmsHFxQUajQZKpRKPHj1Cbm4uNyGnNqBpW55cXFyqvDYhhFiCljixDYWleoYxBrVazQWisrIyrutH23Lj7u4OsVgMkUhUMY4mIgKSFi3wcOVKq69nLiiZIxAI4OHhAQ8PD4P664YohUKhF6JKS0v1woxuS5STk5PJH3Q/Pz+L/mLSaDQoKSmpMlBpP5ZbMEZLu3BxVa1bQqEQHTp0QNeuXdGtWzd07twZPj4+UKvVUCqVKCwsxMOHDyk8EULsSrvECf0fUn0Uluqwyi1F2hChDUWurq4ICAiAh4cH97SWq6ur0R8IzxUrIBAI8GDZMouvX92gZA6Px+PqqosxxnXpaV8ymQwlJSUoLS2FXC7nuvSA/30OtP9a2qXH5/Ph5eUFLy8vtGjRosryCoWiykClfRUVFZldSFqpVOotRszn89GmTRt069aNC1ABAQFceCooKMDDhw/B5/ONhicaqEkIsYRcLqclTmxEA7yrqabmWQJg0FKkHd/CtRT991H26vyVkL16tUWBqSaCUnWVl5cbdOmVlJRAJpNBpVJxg6y1cynx+XyzL4FAAB6PZ/fmaLVajaKiIjx69AgFBQV6gerhw4dITExEVlaW2XOEhobqhaegoCCu206hUKC8vJwLT15eXvDx8aHwRAgxKzs7GwkJCbTEiRE0z1INs3dYkslkSElJgVAo5EKRbkuRPb/BqwpMdSkomaMbIkpLS1FWVqbXGldWVsaFKe1ga203pqbSXE7aHwNz4UogEHDbqvv1yM3NRXx8PBISEhAfH4/09HSzrVEBAQFccOratStatWrFdWUqlUqUl5dzUxd4e3tz4UkkElF4IoQAAFJSUnD37l1a4sSIWg9LeXl5OH78OK5fv45Hjx5BoVBUeQyPx8MPP/xgj8vXOnuHpdpmKjDVl6BkjcpPpRn7V/uxNmRpg5Z2n+a/0yTofqxtydLSBittmNINV7r7dEkkEly9epULUMnJySgvLzd5L2KxmFtLr3v37mjXrh34fH6V4UksFtOMvYQ0QGq1GufPn0d5eTktcWJErYUlqVSKN998E9u3b9cbU2IpS55Mqovqe1gCDAPT4xiUbGVqPqXK/+oGLd0xZtpwpZ3oUrvkilAohFAoNGj9USgUuH79OtfylJiYiNLSUpP1EwqF6NixI9fy1LlzZwiFQq7LUq1Wc9fz8fGBj48PN1UBhSdCHn9FRUW4dOkSddWbUCthSaVSISoqCrGxsWa7EkxenMejsORgqW+/Dcknn8DzrbfQ5uOPHV2dx0rloKVUKiGVSlFcXIzi4mJuDBKPx4OLiws387du61N5eTlSU1P1uu6KiopMXlMgECA8PFyv604sFnPdldrw5OrqatBtR+GJkMdPZmYmkpKSEBAQ4Oiq1Em1Epa++OILvPHGG+DxePDw8MBrr72GoUOHIjg42OIJ9kJDQ6t17aysLPz666/4+++/cePGDeTk5MDX1xcRERF4++230adPH4NjJBIJVqxYgX379iEnJwdNmjTB+PHjsXz5coisXPPscQlL2dnZ+O677zB79mw0adLE0dVpMNRqNWQyGaRSKUpKSvDo0SPI5XKUlZVxE3hqW590QwxjDHfv3kV8fDwXoB48eGD2Ws2bN9cbNN6oUSMolUoolUq98OTp6an3EIH2ZemThoSQuic+Ph75+fnw9fV1dFXqpFoJS/3790dsbCy8vb1x/vx5hIeHV/dUVluyZAk++ugjtGrVClFRUWjUqBHS0tLw+++/gzGGPXv2YOLEiVx5mUyGAQMGICEhAdHR0ejWrRvi4+Nx9OhR9OrVC6dPn4arq6vF16ewROxJO2hbKpVCJpOhqKgIxcXF3KB1Ho/HhafKA/4fPnxoMGjcnMaNG+u1PDVr1owbp6UdBM/j8bj5rbTzdumGKDc3N2rSJ6SOoyVOqlYry52kpKSAx+Nh7ty5tRqUAKB3796IiYlBZGSk3vYzZ85g8ODBeOWVVzBmzBiuhevjjz9GQkICFi9ejA8//JArrw1dGzZswNKlS2v1HgjR0p1/SvvESnl5uUHrU2lpKYqLiwGAm1bC398fw4cPx/DhwwFUzNRbedC4bnf3w4cPceTIERw5cgQA4OXlhc6dOyM8PBzNmzdH8+bNERISAicnJ6hUKhQXFyM/P5/raq88pYV2ni9tkBIKhfR4MiF1AC1xYj82tSx5eHhAoVDgp59+woQJE+xZL5sMGzYMR48exaVLl9CzZ08wxhAcHAyJRIKcnBy9WaVlMhkCAwMREBBQ5V/kuqhlidQ2xhi3bIxMJsOjR49QUlLCdafx+Xy9sU/awFJaWorr169z4SkxMdGip1UDAwPRokULNG/eHKGhoWjRogVCQ0Ph6empN6hdd9kaJycnuLi4wMPDw6A1irr0CKldt27dQlpaGo1XMqNWWpaCg4Nx69YtKJVKW05jd9ruAe1Yj7S0NDx48ADDhg0zWH7Dw8MDEREROHLkCO7du4eQkJBary8hluDxeHB3d+ea01u0aAGVSsWFJ4lEYrL1qXv37ujVqxeAiharGzducN12CQkJXHldOTk5yMnJwfnz5/W2e3p66gWo5s2bo0WLFggICOBmYs/Pz0dOTg5Xb22XnpubG8RiMdzd3fVClLOzM7VGEWJHtMSJfdkUlqKjo3Hr1i1cvnwZU6ZMsVedbJKZmYnjx4+jSZMm6NSpE4CKsAQAYWFhRo8JCwvDkSNHkJaWRmGJ1CvOzs7clABAxRN42qUNtF132lYojUYDPp8PoVCINm3aoEOHDnjxxReh0Whw//593LlzBxkZGdzrzp07kEqlBteUSCRITExEYmKiQV1CQkL0ApS2S8/Z2RkqlQoSiQQFBQXcuCjtIsrayVhFIpFeiBIKhbTwJyHVQEuc2JdNYWn+/PnYunUrduzYgaVLlyIwMNBe9aoWlUqFKVOmQKlU4qOPPuKa/LV/NXt5eRk9TtuNZuyvay3t00NaEonEXtUmxG74fD4XOho3bgygoplZ2/pUXFyMoqIi7sk7batPo0aN0LRpU70xgIwxFBQUGASojIwMPHz40ODaKpUKt2/fxu3btw32BQYGcuOhdF8ikQhqtRoKhQIlJSVGu/R0B5jrzmxPIYoQ0yQSCcrKykz+3iPWsSkshYWF4ZtvvsFLL72EYcOGYf/+/WjVqpW96mYVjUaD6dOn4/Tp03j55Zft3tK1bt06rFy50q7nJKQ2uLi4wNfXF76+vggJCYFGo4FMJtNrfZLL5ZDL5XphxdnZGR4eHujatSt69Oih100ml8tx9+5dvQCVkZGBzMxMozOQa7v0YmNj9baLxWK98KRtjWrcuDEYYygvL0dhYSFyc3O51igXFxeubp6engYhirrzCKmYjJLH49HPg53YFJZ27twJAHjuuefwyy+/oH379hg1ahT69esHf39/i/7ymzp1qi1VAFARlF566SXs2bMHL774Ir755hu9/dpkbarlSNtKZC6BL126FAsXLtQ7hrrsSH3E5/O5JVC0rcHa9fW0M39LpVJIpVIolUqUlpZyAYjP53NPw7Vq1Qrh4eEGk2g+ePDA4i69kpISXLt2DdeuXdPbru3S0w1QrVq1QrNmzcDj8aBSqbgFirX1cnZ2houLC0QiETw9PbkpDtzc3OgJPdKgqNVqFBQUWDUdDjHPprA0ffp07j8g7X9gv//+O37//XeLjufxeDaHJY1GgxkzZmDnzp2YPHkytm/fbhDStGOVtGOXKqtqTBMAbo4bQh5H2jFCurSDtXWDlFwuR0lJCUpLSyGXy6FSqbgWH22ICggIsKhLTxuirOnSEwgECA0NRevWrREWFsb96+vryz2dl5eXh+zsbK68NkRpA6K2BcrNzc3ui1QTUhdof0ZpLTj7sXl9g8ozD9hpXV6L6AaliRMn4scffzT6aHJYWBiCgoJw9uxZyGQyg6kDzp49ixYtWlBLUT1QUlJitIWiKtr10IjltF1eLi4uBtNjlJeXc61Q2jBVUlICuVwOpVIJmUxmtEuvS5cuZrv0dLv1jHXpqdVqLkQdPXqU2y4SidCqVSsuQGlfbm5u3Jp9OTk5yMrK4uqknWZBu9xL5RBFSH0lkUhQXl5OE8fakU1hadu2bfaqh9W0XW87d+7E+PHjsWvXLpNzuPB4PMyaNQurVq3C6tWr9SalXL16NaRSKd55553aqjqxwZUrV3Dq1Cmrj4uMjERUVJT9K9RAOTk5cQPJdWk0Gm4dOlNdesZmCTfXpZeRkYHbt28jPT0daWlpyMjIMAhRUqkUV69exdWrV/W2BwYGGgQo7RJL2lYz3YHl2tYxV1dXvRClDVL0y4fUB4WFhTSnmZ3ZNCmlI61YsQIrV66ESCTC//3f/xldBHTMmDHo2rUrgIoWpIiICFy9ehXR0dHo3r074uLiuOVOTp06ZdUjljQppWOYalnKz8/H/v37MW7cOPj7+xvsp5Ylx9Lt0tO+tLOTy+VyrgtN+9+Rs7MzF1ycnZ31/uNXqVS4e/cuN+HerVu3cOvWLaPdecY4OzujRYsWei1RYWFh8PPzg0ajQVlZGVQqFVQqFTQaDTfFgYuLCzdPlHbWcm2IokWISV1BS5xYp1YmpXSkjIwMABV/Ua5Zs8ZomebNm3NhycPDA6dOneIW0j158iSaNGmCRYsWYfny5TQXRT2hHXdiir+/f70IfQ2NtV162qkOKnfpaacTCAkJQcuWLbklXoCKP2C0rU/aAJWeng6ZTKZ3PZVKhdTUVKSmpuLQoUPcdi8vL4MA1bJlS7i5uXFhTiqVorCwUK9lzMnJCe7u7twTh15eXjStAXGYkpISWuKkBtTbsLR9+3Zs377dqmO8vLywYcMGbNiwoWYqRQixmqVdeqWlpZBIJJBKpdzHWtog1qlTJ3Tr1o3bzhhDdna2XoC6desWMjMz9dbLAyqelo2Li0NcXJze9uDgYL1uvNatWyMkJAR8Pp9rgZJIJMjPz4dAIIBIJEJAQAAXnKg7hNSm4uJiMMYosNtZjYSlhw8fIjs7GyUlJRCLxQgKCqK1aQghVuHz+VxXly6NRoPS0lLuiTztZJvap/Uqt0JpWxt1n85TKpW4c+cO1/qkDVP5+fkG9bh//z7u37+PmJgYbptQKETLli258NSmTRt07twZfD4fpaWlSEtLg0AggIeHBxecvL29KTiRGkVLnNQcu4WlzMxMfP7559i/fz8yMzMN9jdr1gzPPfcc5s+fT0+dEUKqjc/nw8PDw2CdR+3YA22Qkkgk3BN62vFQuvMxhYWFoW3btnrnKCoq4lqftAEqPT3dYOFhpVKJlJQUpKSkcNs8PDzwxBNPYMiQIejbty8EAgHkcjlu3brFjR8JCAiAn58fvLy8aJwTsTvtHw80v5L92eWnddu2bZg/fz7kcjkA49MHZGZm4rPPPsM333yDL7/8EtOnT7fHpQkhBMD/uuK8vb25bdqlVLQhylQrlHYgubu7O3r06IGePXty59BoNMjKyjLoyrt3757e/3UymQyHDh3CoUOHTAan9PR03Llzx6DFiYITsQeJRAKlUlmvHzqqq2z+Cd22bRtmzpwJHo/HDXps164d2rRpA5FIBKlUitTUVNy4cQOMMchkMsycORMAKDARQmqUtitMtxWKMYaysjKuG08ul0MikUAmk3GtUAD0llYJCgpCSEgInnzySe48CoUC6enpuHXrFuLj4xETE8M9qWksOA0ePBj9+vWDk5OTXnDStjhpgxNNT0Cqi5Y4qTk2haXs7Gy8/vrr3Pu5c+diyZIlaNasmUHZe/fu4cMPP8S3334LjUaD119/HcOHD3f44ruEkIaFx+NxM/JXboXSHQsllUq5v9SNtUK5uLigffv26NChA0aPHg2VSoULFy7g+PHjVgcn7UScbm5uXFcdBSdiDVripGbZFJa+/vpryOVy8Hg8fP/993jppZdMlg0JCcGmTZvQq1cvvPTSS5DL5fj666+xatUqW6pACCF2oX2STfepPG0rlG43nm4rVFlZGYCKcVSurq7o168fBgwYUO3gVFpays1k7u7ujkaNGnHBiQbtEnNoiZOaZVNYOnLkCHg8HqKjo80GJV3Tp0/H3r17cfjwYRw+fJjCEiGkztJthfLx8eG2a1uhtCGqpKQEhYWF3BxM7u7uBsHpn3/+QUxMDEpKSgBYHpzu3r0LNzc3Ljj5+PhQcCIGaImTmmVTWNIucjlmzBirjhs9ejQOHz5ssEgmIYTUB8ZaoVQqFR49eoSCggLk5eUZDU7vvPOORcFp4MCBGDJkiF5wyszMRGZmJtzc3ODv7w9/f394e3vTAt8EAC1xUtNsCkvaH3RfX1+rjtOWr86CqIQQUhc5OzsjICAAAQEBaN26tU3BSdvyXjk4OTs7o7S0FPfu3cO9e/fg5uYGPz8/+Pv7w8fHh4JTA1VWVoaioiJaiaIG2RSW/Pz88PDhQ9y5c8eq47RLlVgbsgghpD6oTnC6ePEiN8bJmuCUlZXFBSd/f3+uq44G+jYc2gcRdLuKiX3ZFJY6duyInJwc/Pjjj3jzzTctml5drVbjxx9/BI/HQ8eOHW25PCGE1HmWBqe+ffsiIiLCbsHJ19cXjRo1gre3t91bHLTzSzHGjL6qs0/7yLuxF5/PN7u/oT8uX1xcDI1GQ91wNcimsPTMM8/g+PHjSE5OxquvvorNmzeb/YZljOG1117D9evXwePxMHr0aFsuTwgh9UpNBCd3d3duAkxtcFIoFMjOzkZWVhbc3Nzg4+MDDw8PMMag0Wi4gKL9uPK/lfcb2wdA72Pt+8rbK+83tR2AXuip/LGp/brvtaGKz+cbfFzVtqqCWuU6W/K+OsdU55x5eXk06L+G8Zixr4SFFAoF2rRpg6ysLABA586d8eabb2Lo0KF6a8Hl5eXh6NGj+PTTT3H16lUAFYtTpqam1ts+dolEAi8vLxQXF9fr2VKzs7Px3XffYfbs2WjSpImjq1Ntj8t9kIap8uBw7WoI2rXxBAIBVCoVF5xOnTqlt5CwVuXg5OLiwj21p9FojIaPmv5X9w/oqrabCmLGQpa54GbuHMbKVK5HVbQtYdaUMfZe97rW/iqufIyPjw89CVcN2qlBBg8ebLacTS1Lrq6u2LdvH5588knI5XIkJiZi6tSpAACxWAwPDw/IZDLuryGg4hvEw8MD+/fvr7dBiRBC7KmqFiegIjhpW5xUKhUuXbqEY8eO6QUnuVxussWJ/r8lpPpsXu6kV69eOHv2LF544QUkJSVx27WLWFZOy506dcKuXbvQqVMnWy9NrFBSUmL06UPtKuvGVlsHAJFIRJOcEVKLTAWn3Nxcg+DUv39/i4KTs7MzRCIRN2eUUCiEq6srhEIhXFxcDLZVflUua6yc7jZLxq8SUp/YZfXGzp07IzExEX/99Rf279+PCxcuIDs7GyUlJRCLxWjSpAn69OmDZ599FiNGjGjQA/Ec5cqVKzh16pTJ/fv37ze6PTIyElFRUTVUK0KIOeaCU0FBAQDjwUk7xkkbnLTdfLVZb2Ohy1S4cnd3R9OmTdG0aVMEBwejSZMmtLgwqVNsGrPUkNW3MUumWpaqUl9almjMEmlIdMc45ebmorS0FEBFcHJ3dwefz0d5eTk3xikpKQkKhQIKhQJlZWVQKpXcUi11EZ/PR2BgIIKDg/VClPalOxkoIbaolTFLpP4Qi8X1IvQQQqqm2+LUqlUrFBUVmW1xMkaj0aCsrAwKhQJKpVLvZWybsZepcpW3a6+jXYy4KhqNBg8ePMCDBw+M7vfy8jIIUdqPAwICqBuQ2B21LFVTfWtZetylbtkCyR9/wPOZZ9Bm1ixHV4cQh9DO5GysxcnFxQUCgUDvUfjaVl5ebjRYSSQSZGVlISsrC/fv3+f+1X04yFLOzs4ICgoyGqSaNm1Kk3USPZa2LFkVlm7fvo0333wTANChQwesXr3aqkq99957SE5OBgBs3LgRzZo1s+r4uoTCUt2R/fPPeLBnD/c+6Pnn0WTSJAfWiBDHqxycysvLoVarufmSdFWed0gbqip/XNuKi4sNApT244cPH1r9uD0A+Pv7GwQobajy8fGhMbUNTI2EpcmTJ+OXX36Bh4cHLl68iHbt2llVqZSUFPTu3RtyuRxTpkzB9u3brTq+LqGwVDdUDkpaFJgI+R+VSgWlUony8nIuNGk/Li8vR1lZmd5LG6q0/2pfwP/m99Gd3FE3UFXeVlPho6ysDNnZ2UaDVFZWFhQKhdXnrDzQXPtvixYtEBgYWAN3QRzN7mEpOzsbISEhYIxh8eLFWLt2bbUq9t5772Ht2rVwcnLC/fv39SavrE8oLDmeqaCkRYGJkOpRq9UGgapyyFKpVHoBS6VScQGLMWbQiqUNWaZasJydne32BBxjDAUFBXoBSjdIacd1WaNjx44YNWoUhg4dCi8vL7vUkzie3cPSxo0bsXDhQgiFQmRlZVV7EdxHjx6hadOmUCqV2LhxI15//fVqncfRKCw5VlVBSYsCEyG1gzFmtNWq8jZTrVgqlQrl5eUA/jf1gIuLS41MIaBdR69ya9T9+/fx4MEDrh7GODs744knnsCoUaPQr18/muKgnrP703D//vsvAOCJJ56odlACKqZkj4qKwpEjR3D69Ol6G5aI41galABw5SgwEVKzeDwenJ2drV5yQxukFAoFZDIZZDIZioqKIJfLIZFI9AKUdlJMWwOKm5sbWrdujdatWxutT25uLhei7t27h/PnzyM1NRVARZfmP//8g3/++Qd+fn4YPnw4Ro0ahbCwMJvqROo2i7/jEhISwOPx7DJB4cCBA3H48GFunThCLGVNUNKiwERI3SUQCCAQCCAUCvW6t1QqFeRyORegiouLIZPJuADF4/Hg5ORktwClW58mTZqgSZMm6NWrFwDg9ddfR2pqKg4ePIjDhw9zM6kXFBRg9+7d2L17N9q0aYOnn34aw4cPh4+Pj13qQuoOi7vhvL29UVJSgq1bt2LatGk2XXTHjh2YMWMGvLy8anVWWXuibrjaV52gpIu65Aip37QBSi6XQyqVcgGqrKzMIEC5uLjUyMKy5eXlOH/+PA4ePIjTp09DpVLp7RcIBIiIiMCoUaMwcOBAWty2jrN7N5x2vg4PDw/baqZzDu3K2oRUxdagBFALEyH1nbOzM7y8vIy2QGlboYqKirgF3GsiQDk5OWHgwIEYOHAgiouLcfToURw8eJBbG1WtVuP06dM4ffo0vLy8MGzYMIwaNQrt2rWjaQnqMYtblgIDA5GXl4dNmzZh7ty5Nl3022+/xSuvvIJGjRrh4cOHNp3LUbQtS2effx4iFxdHV+exppbLoflvWLcHvpsbBO7udjsfMc3ZxwftPvvM0dUgDYypAKVtgQL+NwbKXi1Qd+7cwV9//YW//voLeXl5BvtbtmyJkSNHYsSIEWjUqJHN1yP2YfeWpUaNGiEvLw8pKSk2V047MWV9nTZAl6qwECpqZq1XNKWldg1fhJC6xZIWqOLiYkilUq4FSntcdQNUixYtMG/ePLzyyiu4dOkSDh48iJMnT0KpVAKomNT5yy+/xKZNm9C3b1+MHDkSkZGRNKN4PWFxWOrVqxeSkpJw+PBhmy96+PBh8Hg89OzZ0+ZzOZqzry+cqWWpRlHLUv3lTANdSR1ha4BydXWFQCCo8joCgQB9+/ZF3759IZVKcfz4cRw8eBAJCQkAKta9O3fuHM6dOweRSIShQ4di5MiR6NKlC3XT1WEWd8Pt3r0bU6ZMAY/Hw3/+8x+MHTu2Whfcv38/nnvuOfB4POzYsQMvvvhitc7jaDTAu3bZY8wSQIO8CSHmlZeXGzyFJ5VKuXG7IpEIrq6uVgeb+/fvc910xhYIbtasGUaMGIGRI0eiSZMmdrkXUjW7T0opl8vRvHlzFBQUoHHjxrhw4QJCQkKsqlRmZib69u2LnJwc+Pv7IyMjA+719C98Cku1j56GI4Q4gkqlQmFhIR4+fIiCggKUlpbCxcUFHh4ecLGyZ0Gj0SAuLg5//fUXjh8/zoUwXT179sSoUaPw5JNP1tvfkfVFjawNt379erz99tvg8Xho1qwZ9uzZg379+ll07Pnz5/H888/j7t274PF4+PDDD/HWW29Zeuk6h8KSY1Q3MFFQIoTYg1wuR35+PrKzs7k5n9zc3ODu7m5RN52u0tJSnDhxAgcPHsTly5cNFgZ2c3PD4MGDMWrUKHTv3t0hixk/7mokLGk0GowYMQJHjx4Fj8cDj8fDU089halTpyIiIgJBQUF65R88eICzZ89ix44dOHz4MPeNMGTIEG7cUn1FYclxrA1MFJQIIfam0WhQXFyMvLw8PHz4EDKZDED1u+lycnK4brrMzEyD/U2aNMHIkSMxcuRIq3t1iGk1EpYAoLi4GE8//TT+/fdfg28GoVAIb29vAEBRURH3FAAALihFRETgzz//5MrVVxSWHIvWhiOE1BW63XT5+flQKBRwcXGBSCSy+qk6xhgSExNx8OBBHDt2DFKp1KBMly5duEV9RSKRvW6jQaqxsARUTLq1dOlSfPnll3qByByhUIh58+Zh3bp1j8XCgxSWHK+qwERBiRBS2+zZTadQKHD69GkcPHgQsbGx0Gg0evuFQiGioqLw1FNPoWfPnjQNQTXUaFjSys7OxqZNm3DkyBHEx8cbfCH5fD66deuGYcOG4dVXXzXopqvPKCzVDaYCEwUlQogjGeum4/F48PDwqFY3XV5eHg4dOoSDBw/i9u3bBvtdXFzQtWtX9OnTB3369EGbNm1ojJMFaiUs6ZLL5cjJyUFBQQEYY/Dz80NgYKBdlkepiygs1R2VAxMFJUJIXWLvbrobN25wi/oWFxcbLefj44NevXpx4SkwMNAet/LYqfWw1NBQWKpbUrdsgeSPP+D5zDNoM2uWo6tDCCFGyWQyFBQUGHTTeXh4WN0SpFKpcPbsWZw5cwYXLlxATk6OybKhoaFccOrRoweNdfovCks1jMJS3ZKdnY3vvvsOs2fPpgndCCF1nr276RhjyMzMxIULF3DhwgVcvnyZe0KvMoFAgI4dO3LhqUOHDo/FWOLqoLBUwygsOUZJSYnRp0Py8/Oxf/9+jBs3Dv7+/gb7RSIRxGJxbVSREEKsolKpUFBQwE16aUs3nVZ5eTmSkpK48HT9+nWo1WqjZT08PNCzZ08uPDVr1qxeT+1jDQpLJly6dAnLly/HuXPnoFKp0KlTJyxcuBATJkyw6jwUlhwjJiYGp06dsvq4yMhIREVF2b9ChBBiR/bsptMllUpx5coVLjzdvXvXZNnAwED06dMHffv2Ra9ever9VD/mUFgy4uTJkxg2bBhcXV0xadIkiMVi7Nu3D3fv3sX69euxaNEii89FYckxTLUsVYValggh9YluN11OTg7kcrlN3XSV5eTkcMHp4sWLKCoqMlqOx+Ohbdu2XKtTly5drF7ipS6jsFRJeXk52rZti/v37yM2NhZdu3YFUDHJZu/evZGRkYHU1FSEhoZadD4KS4QQQmpD5W46pVIJZ2dnm7rpdGk0GqSmpiI2NhYXL15EQkICysrKjJYVCoXo3r07F55at25dr7vsKCxVcvToUQwbNgwzZszA1q1b9fbt2LED06dPx8qVK7Fs2TKLzkdhiRBCSG0z1U3n4uICgUAAgUBgc3hRKBRISEjgWp5SU1NNlvXz80Pv3r258NSoUSObrl3bLA1LDWb4e0xMDAAgOjraYN+wYcMAoFpjYQghhJDa4uHhAQ8PDwQHB+s9TadQKKBWq/UGcTPG4OTkxIWoyi9TXF1d0bdvX/Tt2xcAUFBQgEuXLnHhKTc3lytbUFCAQ4cO4dChQwCAli1bcsGpe/fucHd3r6HPRO1qMC1L48ePx3/+8x9cvnwZPXr0MNgvFovh4+NjdAFDY6hliRBCSF1QXl6OsrIyqFQqqFQq7uOysjKUlpZCoVBAqVRyYaq8vBwajQY8Hg+MMfD5fIMgpQ1ZlVupGGPIyMjggtOVK1cgl8uN1svJyQmdO3dG7969MXDgQISHh9fGp8Mq1LJUiXaWUy8vL6P7PT09Tc6ECgBKpVJvHTyJRGLfChJCCCHV4OTkVOU8SRqNhgtTuoFKpVJBoVCgtLQUSqUSZWVlUCqVkMvlUKvVYIxxoUobpPz9/TF69GiMGzcOGo0GycnJXHhKTk7mlj4rLy9HXFwc4uLi8PDhQ7z77ru18emoEQ0mLNlq3bp1WLlypaOrQQghhFiNz+dDKBRCKBSaLadWq022UumGqvLycq61Kjg4GCEhIXj22WchlUpx/fp1xMfHIy4uDllZWQCAnj17ory8XK+lSvtx5X/rogYTlrQtSqZajyQSCXx8fEwev3TpUixcuFCvfEhIiH0rSQghhDiQQCCAm5sb3NzcTJZhjJlspVIqlQgLC8NTTz2FsrIy3L9/H5cuXUJ4eDgkEgl0R/4wxgzeV6Zt1dL9V1u28se6xxt7r/uv9mONRmPRE4UNJiyFhYUBANLS0gzGLOXk5EAqlaJ3794mj7ckkRNCCCGPOx6PBxcXlyrnW1Kr1VCpVHj66af1gpH248rvTX1c3X26H2s0Gr1jdF/mBrtrNZiwFBkZiXXr1uHo0aOYVGlF+iNHjnBlCCGEEGI77RgnV1dXR1fFZg3mabjy8nKEh4cjKyvL5KSUN2/eRPPmzS06Hz0NRwghhDQMDaZlycnJCVu2bMGwYcPwxBNPGF3uxNKgRAghhJCGo8G0LGldvHjR6EK6EydOtOo81LJECCGENAwNLizZC4UlQgghpGHgO7oChBBCCCF1GYUlQgghhBAzKCwRQgghhJhBYYkQQgghxIwGM3WAvWnHxdOCuoQQQkj9JhaLza5NR2GpmgoKCgCA1ocjhBBC6rmqnmynsFRNvr6+AIDMzExukV5CSAXtQtP37t2jqTUI0UE/G3WTWCw2u5/CUjXx+RXDvby8vOgbnhATPD096eeDECPoZ6N+oQHehBBCCCFmUFgihBBCCDGDwlI1CYVCLF++HEKh0NFVIaTOoZ8PQoyjn436idaGI4QQQggxg1qWCCGEEELMoLBECCGEEGIGhSVCCCGEEDMoLFnp0qVLGDFiBLy9veHh4YG+ffti7969jq4WIXa1a9cuzJkzBz179oRQKASPx8P27dtNlpdIJFi4cCFCQ0MhFArRvHlzvPXWW5BKpUbLazQafPnll+jUqRPc3NzQqFEjTJ48Gbdv366hOyLEPrKysrBx40ZER0ejWbNmcHFxQWBgIJ599llcuHDB6DH08/EYYMRiJ06cYM7OzkwsFrOXX36ZLVy4kIWGhjIAbP369Y6uHiF2o/2+9vf35z7etm2b0bJSqZR17dqVAWDR0dFs8eLFLDo6mgFgvXr1YqWlpQbHzJo1iwFgHTp0YG+//TZ78cUXmYuLC/P19WWpqak1fHeEVN/ixYsZANaqVSs2c+ZMtmTJEvbss88ygUDA+Hw++/nnn/XK08/H44HCkoVUKhVr1aoVEwqFLD4+ntteVFTE2rRpw1xcXFhGRobjKkiIHR07doz7fl63bp3ZsLRs2TIGgC1evFhvu/aXytq1a/W2nzhxggFgTzzxBFMqldz2v//+m/uFQkhdtW/fPhYTE2Ow/fTp08zZ2Zn5+PgwhULBbaefj8cDhSULHTlyhAFgM2bMMNi3fft2BoCtXLnSATUjpGaZC0sajYYFBQUxkUjEpFKp3j6pVMpEIhFr2bKl3vbJkyczAOzUqVMG54uKimIA2N27d+16D4TUBm2L0aVLlxhj9PPxOKExSxaKiYkBAERHRxvsGzZsGADg1KlTtVklQhwuLS0NDx48QEREBDw8PPT2eXh4ICIiArdv38a9e/e47TExMdy+yuhnidRnzs7OAAAnp4plV+nn4/FBYclCaWlpAICwsDCDfYGBgRCJRFwZQhoKcz8Xutu15WQyGbKzs9GiRQsIBIIqyxNSX2RmZuL48eNo0qQJOnXqBIB+Ph4nFJYsVFxcDADw8vIyut/T05MrQ0hDYcnPhW45a8sTUh+oVCpMmTIFSqUSH330ERd06Ofj8UFhiRBCCKkmjUaD6dOn4/Tp03j55ZcxZcoUR1eJ1AAKSxbSJn1TiV4ikZj8a4CQx5UlPxe65awtT0hdptFo8NJLL2HPnj148cUX8c033+jtp5+PxweFJQuZ6yvOycmBVCo12S9NyOOqqjEUlcdseHh4oEmTJrhz5w7UanWV5QmpqzQaDWbMmIEdO3Zg8uTJ2L59O/h8/V+p9PPx+KCwZKHIyEgAwNGjRw32HTlyRK8MIQ1FWFgYgoKCcPbsWchkMr19MpkMZ8+eRYsWLRASEsJtj4yM5PZVpv1ZeuKJJ2q24oTYQBuUdu7ciYkTJ+LHH380OSCbfj4eDxSWLDR48GC0bNkSe/bsQUJCAre9uLgYa9euhYuLC6ZOneq4ChLiADweD7NmzYJUKsXq1av19q1evRpSqRQvv/yy3vbZs2cDAN5//32UlZVx2w8dOoSYmBhER0cjNDS05itPSDVou9527tyJ8ePHY9euXUaDEkA/H48THmOMOboS9cXJkycxbNgwuLq6YtKkSRCLxdi3bx/u3r2L9evXY9GiRY6uIiF2sWXLFvz7778AgGvXriEuLg4RERFo3bo1AGDAgAGYNWsWgIq/kCMiInD16lVER0eje/fuiIuLw9GjR9GrVy+cOnUKbm5ueud/+eWXsWXLFnTo0AEjR45EdnY2fvnlF4hEIpw/fx5t2rSp3RsmxEIrVqzAypUrIRKJ8H//93/cnEq6xowZg65duwKgn4/HhqNnxaxvLly4wIYPH848PT2Zm5sb6927t8FaQITUd9OmTWMATL6mTZumV76oqIi98cYbLCQkhDk7O7NmzZqxRYsWMYlEYvT8arWaff7556xDhw5MKBQyPz8/NnHiRHbr1q1auDtCqq+qnw0Yme2efj7qP2pZIoQQQggxg8YsEUIIIYSYQWGJEEIIIcQMCkuEEEIIIWZQWCKEEEIIMYPCEiGEEEKIGRSWCCGEEELMoLBECCGEEGIGhSVCCCGEEDMoLBFCCCGEmEFhiRBCCCHEDApLhBBCCCFmUFgi5DGVkZEBHo8HHo+H6dOnO7o6pIadOXMGPB4PAoEAV69edXR1asTff/8NHo8HoVCI1NRUR1eHNCBOjq4AIQ0dj8czut3Z2Rmenp7w9PRE06ZN0a1bN/To0QNPP/00fH19a7mWhoqKirBx40YAQNeuXTFmzBiH1qchU6vVeO211wAAU6ZMQZcuXRxco5oxYsQIREVFISYmBvPnz8fhw4cdXSXSQPAYY8zRlSCkITMVlkwRCoUYN24cPvjgA7Rs2dJkuYyMDLRo0QIAMG3aNGzfvt2Watb6+Ynltm7dipkzZ4LP5+PGjRsICwtzdJVqzIkTJzB48GAAwPHjx7mPCalJFJYIcTDdsPTbb79xHzPGUFJSgqKiIly/fh3nzp1DUlISt9/DwwNffPEFXnrppVqtrxaFpbpBpVKhdevWyMzMxHPPPYdff/3V0VWqcb169cLly5fRt29fnD9/3tHVIQ0AdcMRUodU1ZUVGxuLJUuW4NSpU5DJZJg1axbc3d0xadKk2qkgqXN++eUXZGZmAgBeeeUVB9emdsydOxezZs1CbGwszp49i4iICEdXiTzmaIA3IfVI37598c8//2D27NkAKlqfZsyYgXv37jm4ZsRRNm3aBAAICQnBoEGDTJZTKpVwdnYGj8dDVFRUleft27cveDwexGIx6loHxIQJE+Dq6goA+OqrrxxcG9IQUFgipJ4RCAT46quv0KtXLwCAQqHA2rVrDcpZ8jScRqPBnj17MGbMGISGhsLNzQ2urq5o2rQpunTpgvHjx+Prr79GQUGBwXm1XXAAsGPHDu5auq+YmBi96ykUChw4cADz589H//790ahRIzg7O0MsFiMsLAxTpkzBsWPHqvwcxMTEcNdYsWIFAODBgwd455130KFDB4hEInh6eqJbt25YtWoVSkpKqjwnUBEotmzZgnHjxqF58+bw8PCAUChESEgIRowYgfXr1+PBgwdmz6FQKPDtt99i1KhRCAkJgaurK7y8vNCxY0fMnz/frk9x3bx5E7GxsQCAcePGmR3/lpycjPLycgAVA/LN0Wg0uHbtGgCgc+fOBuc19vm/desW/u///g/h4eHw8PBAYGAgoqOjcfToUYPznzt3Ds8//zxatWoFV1dXNG7cGOPHj7f4KT6xWIzo6GgAwO+//47i4mKLjiOk2hghxKEAcC9r/PHHH9xxHh4erKysTG//nTt3uP3Tpk0zOD4/P5/17dtX7/qmXp988onR81b1OnnypN41W7RoYdFxo0ePZiUlJSbv/eTJk1zZ5cuXsyNHjjBfX1+T52vTpg27f/++2c/niRMnWNOmTausW9euXU2eIyYmpspzCAQCtnbtWrN1sdTatWu58+7fv99s2e3bt3Nlt23bZrbsjRs3uLJz58412F/5879//34mEolM3vMHH3zAGGNMo9GwZcuWmSzn7OzM/vjjD4vu/bPPPuOO++mnnyw6hpDqojFLhNRTo0aNgre3N4qKiiCTyXDp0iX079/f4uNffvllrlUiJCQEkyZNQlhYGHx8fCCTyZCWlobz58/jzJkzescFBATgt99+Q25uLubMmQMAGDRoEObPn29wjY4dO+q9l8vl8Pb2xpNPPolu3bohNDQU7u7ukEgkSExMxC+//ILs7GwcOHAAL730Evbu3VvlfSQkJGD9+vVQqVSYPn06BgwYALFYjJs3b+Lrr79GTk4OUlNTMWPGDKOtHEBF68T48eO5lpc2bdpg/PjxCA8Ph1AoRHZ2Ni5evIi//vrLZJfUoUOHMHr0aKhUKvD5fAwfPhxDhgxB06ZNoVAocPnyZezcuRPFxcV45513AABLly6t8v7MOXLkCPdx3759zZZNTEzkPq6qZUm3haeqaQji4uLw0UcfQSAQYN68eejduzcEAgFiYmKwbds2lJeX47333kNERATi4uKwatUqhIaGYvr06Wjbti1kMhn27t2Lo0ePcl/Dmzdvwt/f3+x1de/38OHDNG6P1CxHpzVCGjpUs2WJMcaGDRvGHbtx40a9feZalh4+fMj4fD4DwPr3789KS0tNXiM3N5clJycbbK+q5cqYv//+26AFTJdMJmNjxozhznvmzBmj5XRbNgCwoKAgdv36dYNy2dnZLDg4mCt35coVgzIZGRlMLBZzZVauXMnKy8uNXre0tJQdPHjQYPuDBw+4lq2AgAB2/vx5o8ffv3+fdezYkWthSklJMfm5qEp5eTnz8PBgAFhISEiV5YcMGcK13iiVSrNl33nnHe7zce7cOYP9lT//zZs3Z7dv3zYot2PHDq5Mx44dmVAoZCNHjmRyudyg7NSpU7myH3/8cZX3o1AomIuLCwPAwsPDqyxPiC1ozBIh9VhoaCj3cV5ensXH3b59GxqNBgDwwgsvcINljWnUqBHatWtX/UrqeOqpp+Ds7Gxyv7u7O3bs2AEPDw8AFWOhLLFr1y506NDBYHtgYCDeffdd7v2hQ4cMynz44YfcmKZXX30Vy5Ytg0AgMHodV1dXjBw50mD7J598gsLCQgDAf/7zH5OtPE2bNsWvv/4KgUAAtVqNzz//vOqbM+HOnTuQyWQAgLZt21ZZXtuy1K5dO7i4uJgtm5CQAKBiWotOnTpVee7du3frjWHTmjp1Kjfn0/Xr1+Hl5YU9e/bAzc3NoOwHH3zAjY2yZLJJoVDIzTOWmpoKhUJR5TGEVBeFJULqMR8fH+5j3UHYVdGGEQC4cuWKXetkK09PT+4XtLab0JyuXbuafQps6NCh3MfXr1/X26dWq7Fnzx4AFb98tYOVrcEYw86dOwEA/fr1w8CBA82Wb9u2LXr37g1AvxvNWhkZGdzHVc3o/vDhQ+Tm5gKougsO+F83XMuWLSESicyW7d69u9nuX93H+qdOnQpPT0+j5UJCQrjwn5ycXGUdgf/dN2OMmz6BkJpAY5YIqceYzvgZa2YCb9++PZo2bYqsrCxs3boVarUaL7/8Mvr27WuyVcVeHj16hN27d+Pw4cO4fv06CgoKIJPJjI4Fun//fpXn69evn9n9wcHBetfWlZiYCIlEAgDc03nWSk5O5oKqj48Pfv/99yqP0X6O79y5A4VCYbZlzxRtSxYA+Pn5mS2rO16pqjFIBQUFyMrKsqgsUPVYqcDAQO5jbUg0VzYjI8Pg62SK7n3rfj4IsTcKS4TUY7q/VKr6halLIBDgu+++w7hx46BUKrFjxw7s2LEDnp6e6NOnDyIiIjBkyBD079/f6uVYzDlw4ABmzpxpcSuYNsiYU9VAYKFQyH1cuatGN4y1b9/eojpVptvC8/fff+Pvv/+26vjCwkIEBQVZfV2lUsl9LBaLzZa1ZnC3tgsOqJg2oCpVfd/pfv4tLat7b+botlKVlpZadAwh1UFhiZB6TPcXtbWtIiNGjMDly5excuVK/PHHHygrK4NEIsGxY8dw7NgxrFixAi1atMCqVavw4osv2lzX8+fP47nnnuOeOOvcuTOGDBmC1q1bw8fHB0KhkAtm7733HpKSkrhxVebw+dUfTaAbxqrqbjKlqKio2tcHgLKysmodpxtCqgqVNfUkHGDd59+Wr5UxuvMrGRsHRYi9UFgipJ7SaDS4cOEC975Pnz5Wn6Njx4749ddfIZPJcPbsWcTGxuLMmTM4c+YMlEol7ty5gylTpiA9PR3Lly+3qb7Lli3jgtKmTZvw6quvmiy7Zs0am65lKd2WCalUWq1z6IashQsX4tNPP7W5XpawpgtKG5aCg4OrHN+kO4bNkpYlR9JtoazqvgixBQ3wJqSe+vPPP7kWBZFIhB49elT7XB4eHoiOjsayZctw7Ngx5OXlYfXq1dz+NWvWICcnp9rnV6lU3GzePXr0MBuUAP0Ws5qkO57J0kHF5s5Rm8vO6D59Zi4slZeXIyUlBQCqfKpRo9FwXyexWGz0Cbe6RHvfPB5P78lQQuyNwhIh9ZBKpcIHH3zAvZ8+fTqcnOzXUCwWi/Hee+9h9OjR3PUqP5mm26VibHC2rvz8fK5VqXXr1mbLXrp0Cfn5+dWpttU6d+4MLy8vABVLcFgz/YJW165duXOcPHnS4vE2tmrevDk3VkkbhoxJTU3l6qT7FKQxhw8f5pZzMbbMSV2iUChw584dAOAmDyWkplBYIqSeUavVmDdvHi5fvgygYqzGkiVLauRaui0L2rCjpdv9pJ3vxxTdX9K3bt0yW9bW7j5rCAQCvPDCCwAqBhVXZ+oA3XPk5+fjs88+s2cVTeLz+dz6gPfv3ze5Zp3ueCVzoUoul+Ptt9/m3tf1Lri4uDhuvFdVT+QRYisKS4TUIxcvXsTgwYPx3XffAajoftixYweaNm1q1XmOHDmCDRs2mH1EOzc3F/v27ePeVx7s6+vry7WoJCQkmG1d8vT0RJs2bQBUjIn5z3/+Y1BGrVZjwYIFRieOrEmLFy/mxi59/fXXWLVqFdRqtdGySqXSaP3eeecdeHt7A6gYnL5x40azg9NlMhm2bNmCn376yaa6Dx8+nPtYd/yaLt2wdPPmTXz11VcGZR48eIBRo0YhKSmJ29asWTOb6lbTdFs6hw0b5sCakIaABngTUodUnqOnpKQERUVFSEpKwtmzZ/UmVRSJRPjqq68wfvx4q6+TnZ2NhQsXYvHixYiKikLfvn25CQgLCgqQmJiIn376iQtTEyZM4GZi1jV48GDs378f6enpmDBhAsaNGwdvb2+u+6Z3797cwNs33niDG6s0YcIETJw4EZGRkfDx8cGtW7ewe/dupKSkoGPHjhAKhbU2WWazZs2wY8cObm245cuXY/fu3Rg/fjzatm0LFxcXPHz4EJcvX8bBgwcREhKCp556Su8cTZs2xd69e/H0009DqVRiwYIF+PrrrzF27Fi0b98eIpEIJSUluHPnDi5fvowTJ05AoVDojQurjrFjx3KtQSdOnMDYsWMNymjDklAoBJ/Px+uvv47du3ejV69ecHNzw40bN3D06FEoFApu7i0A+OGHH5Ceno4XXngBUVFRNtWzJpw+fRpAxazqlb8ehNidI9daIYTorw1nycvV1ZVNnjzZ6Fpcusyt3aa7An1Vr+eee47JZDKj17h69Spzd3c3eezJkye5shqNhr300ktmr9WpUyd2+/ZtFhkZaXa9vMqr3lv6OY6MjDRZ5ujRoywwMLDKz0e3bt1MnuPSpUssPDzcos+rQCBg33//fZV1r0r//v0ZANaoUSOj6+6FhIRw9V65cqXJ+syePZv98MMPBtvv379vcE5rPv/Lly83+v1gTFVfd62SkhLm6urKALCJEyeaLUuIPVDLEiF1lJOTE8RiMTw9PREcHIxu3bqhZ8+eeOaZZ/SWOamOqVOnon379jh+/DguXLiAlJQUPHjwAKWlpXB3d0ezZs3Qt29fTJkyBZGRkSbP07lzZ8THx+Ozzz7D6dOnkZmZCblcbrRLjsfj4YcffsDIkSPx3Xff4fLly5BIJPDz80N4eDjGjx+PmTNnVms2a3sYOnQobt++jW3btuHPP/9EYmIi8vPzwePx0LhxY3Tq1AlDhw7F888/b/IcPXv2RHJyMvbv348DBw7gwoULePjwIWQyGUQiEUJCQtCpUydERUXhmWee0Zvdurpee+01bnD6oUOH8Mwzz3D7ioqKuCf0OnTogGXLliEkJARffvklbty4AXd3d3Tt2hVz587Fc889B4VCgYMHD+LIkSMICQnB888/b3UXb23Yu3cvN8HovHnzHFwb0hDwmLH/1QghhNQL5eXlaN26Ne7evYuxY8di//793L7Tp09zYffDDz/E4sWLHVVNu+rduzcuXbqEPn36WLR+ICG2ogHehBBSjzk5OWHZsmUAKpaT0R3Xpju4u2PHjrVet5pw8uRJXLp0CQD0ps8gpCZRWCKEkHpu2rRp6NSpEzQaDRecAP2w1KFDB0dUze60g+Kjo6MxZMgQB9eGNBQUlgghpJ4TCATYtGkTAOC3335DXFwcgP+FJbFY/FjMcP3333/j5MmTcHFxwZdffuno6pAGhMYsEULIY4gxBrFYDJlMRmN7CLERtSwRQshjKD09nZtZ/XHpgiPEUSgsEULIY+jatWvcx4/L4G5CHIW64QghhBBCzKCWJUII+f9260AAAAAAQJC/9QYTFEUAQ5YAAIYsAQAMWQIAGLIEADBkCQBgyBIAwJAlAIAhSwAAQ5YAAIYsAQCMAGLtpZ8j51WTAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np1_dd/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 4460 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np1_dd/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_dSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np2_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1}\n", - "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 17.119908161951052\n", - "Worker iter: 100, fitness 17.101884207615143\n", - "Worker iter: 100, fitness 17.10173123848833\n", - "Worker iter: 100, fitness 17.123605898267755\n", - "Worker iter: 100, fitness 17.10191946507434\n", - "Worker iter: 100, fitness 17.101884207615143\n", - "Worker iter: 100, fitness 17.10191946507434\n", - "Worker iter: 100, fitness 17.092983258228642\n", - "Duration: 183.33829645300284 s\n", - "f1 = 0.2004, mu2 = 1.9322 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 17.092829914921225\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 963\n", - " nit: 47\n", - " success: True\n", - " x: array([0.20044694, 1.93224264])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_dSPN_np2_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0013969220162834972 seconds\n", - "Created connection matrix 0.011929711006814614 seconds\n", - "Created gap junction connection matrix 0.0003118760068900883 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 11020, at 0\n", - "Created distance histogram (optimised) in 0.00903282398940064 seconds\n", - "Saving cache to networks/dSPN_to_dSPN_np2_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to dSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.25677139761646806\n", - "P(d<0.0001) = 0.20450783140201198\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np2_dd/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 3873 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np2_dd/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_dSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np3_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1}\n", - "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 16.38002302260992\n", - "Worker iter: 100, fitness 16.382181145050897\n", - "Worker iter: 100, fitness 16.398318790014418\n", - "Worker iter: 100, fitness 16.413619821309418\n", - "Worker iter: 100, fitness 16.337769672841233\n", - "Worker iter: 100, fitness 16.37222509704208\n", - "Worker iter: 100, fitness 16.37520160661048\n", - "Worker iter: 100, fitness 16.329092391451805\n", - "Worker iter: 200, fitness 16.2008441477174\n", - "Worker iter: 200, fitness 16.193351288531765\n", - "Worker iter: 200, fitness 16.197768846549668\n", - "Worker iter: 200, fitness 16.149893244363284\n", - "Worker iter: 200, fitness 16.149978194345156\n", - "Worker iter: 200, fitness 16.148731686871947\n", - "Worker iter: 200, fitness 16.179248925017475\n", - "Worker iter: 200, fitness 16.139168498826514\n", - "Worker iter: 300, fitness 16.138540331114815\n", - "Worker iter: 300, fitness 16.139144730718606\n", - "Worker iter: 300, fitness 16.138540331114815\n", - "Worker iter: 300, fitness 16.138540331114815\n", - "Worker iter: 300, fitness 16.138540331114815\n", - "Worker iter: 300, fitness 16.138540331114815\n", - "Worker iter: 300, fitness 16.138540331114815\n", - "Duration: 437.0195546129835 s\n", - "f1 = 0.2001, mu2 = 1.6857, a3 = 0.7978 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 16.138540331114815\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 2434\n", - " nit: 80\n", - " success: True\n", - " x: array([0.20010649, 1.68574087, 0.79778825])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_dSPN_np3_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.00159046400221996 seconds\n", - "Created connection matrix 0.011674289009533823 seconds\n", - "Created gap junction connection matrix 8.262501796707511e-05 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 10202, at 0\n", - "Created distance histogram (optimised) in 0.008354735997272655 seconds\n", - "Saving cache to networks/dSPN_to_dSPN_np3_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to dSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.2537919826652221\n", - "P(d<0.0001) = 0.20113332484400867\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np3_dd/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 3822 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np3_dd/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_dSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np4_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1}\n", - "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 16.138540331114815\n", - "Worker iter: 100, fitness 16.138540331114815\n", - "Worker iter: 100, fitness 16.138540331114815\n", - "Worker iter: 100, fitness 16.138540331114815\n", - "Worker iter: 100, fitness 16.138540331114815\n", - "Worker iter: 100, fitness 16.138540331114815\n", - "Worker iter: 100, fitness 16.138540331114815\n", - "Worker iter: 100, fitness 16.138540331114815\n", - "Worker iter: 200, fitness 16.138540331114815\n", - "Worker iter: 200, fitness 16.138540331114815\n", - "Worker iter: 200, fitness 16.138540331114815\n", - "Worker iter: 200, fitness 16.138540331114815\n", - "Worker iter: 200, fitness 16.138540331114815\n", - "Worker iter: 200, fitness 16.138540331114815\n", - "Worker iter: 200, fitness 16.138540331114815\n", - "Worker iter: 200, fitness 16.138540331114815\n", - "Worker iter: 300, fitness 16.138540331114815\n", - "Worker iter: 300, fitness 16.138540331114815\n", - "Worker iter: 300, fitness 16.138540331114815\n", - "Worker iter: 300, fitness 16.138540331114815\n", - "Worker iter: 300, fitness 16.137471245628557\n", - "Worker iter: 300, fitness 16.128628062338812\n", - "Worker iter: 300, fitness 16.137811796151432\n", - "Worker iter: 300, fitness 16.138540331114815\n", - "Worker iter: 400, fitness 16.13491588508139\n", - "Worker iter: 400, fitness 16.047427345915036\n", - "Worker iter: 400, fitness 16.120690722375517\n", - "Worker iter: 400, fitness 16.101663897078232\n", - "Worker iter: 400, fitness 16.10602555674603\n", - "Worker iter: 400, fitness 16.10320303902567\n", - "Worker iter: 400, fitness 16.09510087407348\n", - "Worker iter: 400, fitness 16.10205138354839\n", - "Worker iter: 500, fitness 16.06369468616615\n", - "Worker iter: 500, fitness 16.047992269591855\n", - "Worker iter: 500, fitness 16.048714498331833\n", - "Worker iter: 500, fitness 16.047427345915036\n", - "Worker iter: 500, fitness 16.047316383083523\n", - "Worker iter: 500, fitness 16.039500560120214\n", - "Worker iter: 500, fitness 16.071728190494543\n", - "Worker iter: 500, fitness 16.047680485470984\n", - "Worker iter: 600, fitness 16.022097348395768\n", - "Worker iter: 600, fitness 16.022348994386846\n", - "Worker iter: 600, fitness 16.022097348395768\n", - "Worker iter: 600, fitness 16.022097348395768\n", - "Worker iter: 600, fitness 16.022097348395768\n", - "Worker iter: 600, fitness 16.022097348395768\n", - "Worker iter: 600, fitness 16.022097348395768\n", - "Duration: 935.3017270159908 s\n", - "f1 = 0.1982, softMax = 3.4647, mu2 = 1.5648, a3 = 0.7627 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 16.022097348395768\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 4805\n", - " nit: 119\n", - " success: True\n", - " x: array([0.19822628, 3.46471763, 1.56480857, 0.76267196])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_dSPN_np4_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.000676127994665876 seconds\n", - "Created connection matrix 0.01062703799107112 seconds\n", - "Created gap junction connection matrix 0.00011212500976398587 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 9584, at 0\n", - "Created distance histogram (optimised) in 0.007854444003896788 seconds\n", - "Saving cache to networks/dSPN_to_dSPN_np4_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to dSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.25460455037919827\n", - "P(d<0.0001) = 0.2031070928307653\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np4_dd/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 3868 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np4_dd/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_dSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np1/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1}\n", - "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 45.529760858014924 s\n", - "f1 = 0.0155\n", - " fun: 16.788462675875838\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 222\n", - " nit: 21\n", - " success: True\n", - " x: array([0.01545218])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_dSPN_np1/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007900449854787439 seconds\n", - "Created connection matrix 0.008443904982414097 seconds\n", - "Created gap junction connection matrix 9.745900752022862e-05 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 4500, at 0\n", - "Created distance histogram (optimised) in 0.0039062220021151006 seconds\n", - "Saving cache to networks/dSPN_to_dSPN_np1/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to dSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.2700433369447454\n", - "P(d<0.0001) = 0.20056029542849865\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np1/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 3834 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np1/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_dSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np2/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1}\n", - "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 13.238698779404192\n", - "Worker iter: 100, fitness 13.198607490623113\n", - "Worker iter: 100, fitness 13.209569077401937\n", - "Worker iter: 100, fitness 13.190061277682052\n", - "Worker iter: 100, fitness 13.20638330090479\n", - "Worker iter: 100, fitness 13.180279269006272\n", - "Worker iter: 100, fitness 13.209569077401937\n", - "Worker iter: 100, fitness 13.204226124283533\n", - "Duration: 160.3854968289961 s\n", - "f1 = 0.0657, mu2 = 2.2906\n", - " fun: 13.157429223035969\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 1003\n", - " nit: 49\n", - " success: True\n", - " x: array([0.06566548, 2.2906017 ])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_dSPN_np2/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0006951270042918622 seconds\n", - "Created connection matrix 0.008903572015697137 seconds\n", - "Created gap junction connection matrix 8.800000068731606e-05 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 8892, at 0\n", - "Created distance histogram (optimised) in 0.007520401006331667 seconds\n", - "Saving cache to networks/dSPN_to_dSPN_np2/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to dSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.23916576381365115\n", - "P(d<0.0001) = 0.15172545524003567\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np2/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 2772 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np2/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_dSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np3/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1}\n", - "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 13.157429223035969\n", - "Worker iter: 100, fitness 13.157429223035969\n", - "Worker iter: 100, fitness 13.157429223035969\n", - "Worker iter: 100, fitness 13.157429223035969\n", - "Worker iter: 100, fitness 13.157429223035969\n", - "Worker iter: 100, fitness 13.157429223035969\n", - "Worker iter: 100, fitness 13.157429223035969\n", - "Worker iter: 100, fitness 13.157429223035969\n", - "Worker iter: 200, fitness 13.118521023775628\n", - "Worker iter: 200, fitness 13.075941873894097\n", - "Worker iter: 200, fitness 13.157429223035969\n", - "Worker iter: 200, fitness 13.061260544984146\n", - "Worker iter: 200, fitness 13.097704455790462\n", - "Worker iter: 200, fitness 13.097734828042434\n", - "Worker iter: 200, fitness 13.082987799929992\n", - "Worker iter: 200, fitness 13.106392398646628\n", - "Worker iter: 300, fitness 13.002672951709698\n", - "Worker iter: 300, fitness 12.997051667996924\n", - "Worker iter: 300, fitness 12.993952480883374\n", - "Worker iter: 300, fitness 13.002425462365736\n", - "Worker iter: 300, fitness 12.968422182345472\n", - "Worker iter: 300, fitness 13.005159668237459\n", - "Worker iter: 300, fitness 12.983258213433933\n", - "Worker iter: 300, fitness 12.977732617204497\n", - "Worker iter: 400, fitness 12.95400021163309\n", - "Worker iter: 400, fitness 12.95400021163309\n", - "Worker iter: 400, fitness 12.95400021163309\n", - "Worker iter: 400, fitness 12.95400021163309\n", - "Worker iter: 400, fitness 12.95400021163309\n", - "Worker iter: 400, fitness 12.953636468141124\n", - "Worker iter: 400, fitness 12.953636468141124\n", - "Worker iter: 400, fitness 12.953636468141124\n", - "Duration: 646.8718268219964 s\n", - "f1 = 0.0783, mu2 = 2.2815, a3 = 0.8172\n", - " fun: 12.953636468141124\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 3274\n", - " nit: 108\n", - " success: True\n", - " x: array([0.07831135, 2.28148215, 0.8172178 ])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_dSPN_np3/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0014750469999853522 seconds\n", - "Created connection matrix 0.010535784997045994 seconds\n", - "Created gap junction connection matrix 0.00014625000767409801 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 10100, at 0\n", - "Created distance histogram (optimised) in 0.008622319990536198 seconds\n", - "Saving cache to networks/dSPN_to_dSPN_np3/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to dSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.2562296858071506\n", - "P(d<0.0001) = 0.16280402393989557\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np3/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 2981 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np3/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_dSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_dSPN_np4/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1}\n", - "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 12.953636468141124\n", - "Worker iter: 100, fitness 12.953636468141124\n", - "Worker iter: 100, fitness 12.953636468141124\n", - "Worker iter: 100, fitness 12.953636468141124\n", - "Worker iter: 100, fitness 12.953636468141124\n", - "Worker iter: 100, fitness 12.953636468141124\n", - "Worker iter: 100, fitness 12.953636468141124\n", - "Worker iter: 100, fitness 12.953636468141124\n", - "Worker iter: 200, fitness 12.720654542762098\n", - "Worker iter: 200, fitness 12.641882499343804\n", - "Worker iter: 200, fitness 12.727174573867376\n", - "Worker iter: 200, fitness 12.737635320555547\n", - "Worker iter: 200, fitness 12.649886306697221\n", - "Worker iter: 200, fitness 12.781821917944534\n", - "Worker iter: 200, fitness 12.71462478070316\n", - "Worker iter: 200, fitness 12.732090034874183\n", - "Worker iter: 300, fitness 12.481162125244362\n", - "Worker iter: 300, fitness 12.492802903376141\n", - "Worker iter: 300, fitness 12.505542692977183\n", - "Worker iter: 300, fitness 12.426034698342718\n", - "Worker iter: 300, fitness 12.396581305417117Worker iter: 300, fitness 12.41428256339647\n", - "\n", - "Worker iter: 300, fitness 12.392848269986496\n", - "Worker iter: 300, fitness 12.482900111931258\n", - "Worker iter: 400, fitness 12.312638601502046\n", - "Worker iter: 400, fitness 12.39401842611607\n", - "Worker iter: 400, fitness 12.370981421425492\n", - "Worker iter: 400, fitness 12.400000428003194\n", - "Worker iter: 400, fitness 12.399481471665032\n", - "Worker iter: 400, fitness 12.335436281134392\n", - "Worker iter: 400, fitness 12.30358578865538\n", - "Worker iter: 400, fitness 12.336008235310729\n", - "Worker iter: 500, fitness 12.287327109837197\n", - "Worker iter: 500, fitness 12.283237563081869\n", - "Worker iter: 500, fitness 12.309452940364839\n", - "Worker iter: 500, fitness 12.2904670380247\n", - "Worker iter: 500, fitness 12.310313648940875\n", - "Worker iter: 500, fitness 12.295070699291534\n", - "Worker iter: 500, fitness 12.288842128862338\n", - "Worker iter: 500, fitness 12.249503925265186\n", - "Worker iter: 600, fitness 12.249898349567344\n", - "Worker iter: 600, fitness 12.250018081114167\n", - "Worker iter: 600, fitness 12.242603206125008\n", - "Worker iter: 600, fitness 12.242820131574499\n", - "Worker iter: 600, fitness 12.242868575912741\n", - "Worker iter: 600, fitness 12.249503925265186\n", - "Worker iter: 600, fitness 12.242868575912741\n", - "Worker iter: 600, fitness 12.249503925265186\n", - "Worker iter: 700, fitness 12.242237880352487\n", - "Worker iter: 700, fitness 12.242237880352487\n", - "Worker iter: 700, fitness 12.242237880352487\n", - "Worker iter: 700, fitness 12.242237880352487\n", - "Worker iter: 700, fitness 12.242237880352487\n", - "Duration: 1123.1505416840082 s\n", - "f1 = 0.0783, softMax = 2.9748, mu2 = 2.2909, a3 = 0.8971\n", - " fun: 12.242237880352487\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 5405\n", - " nit: 134\n", - " success: True\n", - " x: array([0.07832798, 2.97476395, 2.29088223, 0.89714725])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_dSPN_np4/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0006951690011192113 seconds\n", - "Created connection matrix 0.009113362990319729 seconds\n", - "Created gap junction connection matrix 0.00010783399920910597 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 9009, at 0\n", - "Created distance histogram (optimised) in 0.007528357993578538 seconds\n", - "Saving cache to networks/dSPN_to_dSPN_np4/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to dSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.2562296858071506\n", - "P(d<0.0001) = 0.16547816121227557\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np4/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 3038 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_dSPN_np4/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_iSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np1_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 31/125 (150 neurons)\n", - "Processing hyper voxel : 36/125 (148 neurons)\n", - "Processing hyper voxel : 32/125 (146 neurons)\n", - "Processing hyper voxel : 37/125 (139 neurons)\n", - "Processing hyper voxel : 56/125 (124 neurons)\n", - "Processing hyper voxel : 61/125 (108 neurons)\n", - "Processing hyper voxel : 57/125 (87 neurons)\n", - "Processing hyper voxel : 6/125 (87 neurons)\n", - "Processing hyper voxel : 11/125 (74 neurons)\n", - "Processing hyper voxel : 62/125 (71 neurons)\n", - "Processing hyper voxel : 7/125 (64 neurons)\n", - "Processing hyper voxel : 30/125 (60 neurons)\n", - "Processing hyper voxel : 35/125 (56 neurons)\n", - "Processing hyper voxel : 26/125 (43 neurons)\n", - "Processing hyper voxel : 12/125 (40 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 55/125 (26 neurons)\n", - "Processing hyper voxel : 60/125 (21 neurons)\n", - "Processing hyper voxel : 41/125 (19 neurons)\n", - "Processing hyper voxel : 5/125 (17 neurons)\n", - "Processing hyper voxel : 51/125 (13 neurons)\n", - "Processing hyper voxel : 1/125 (10 neurons)\n", - "Processing hyper voxel : 10/125 (9 neurons)\n", - "Processing hyper voxel : 42/125 (8 neurons)\n", - "Processing hyper voxel : 2/125 (7 neurons)\n", - "Processing hyper voxel : 33/125 (7 neurons)\n", - "Processing hyper voxel : 66/125 (7 neurons)\n", - "Processing hyper voxel : 81/125 (7 neurons)\n", - "Processing hyper voxel : 52/125 (5 neurons)\n", - "Processing hyper voxel : 17/125 (5 neurons)\n", - "Processing hyper voxel : 25/125 (3 neurons)\n", - "Processing hyper voxel : 38/125 (3 neurons)\n", - "Processing hyper voxel : 16/125 (3 neurons)\n", - "Processing hyper voxel : 40/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 80/125 (2 neurons)\n", - "Processing hyper voxel : 63/125 (2 neurons)\n", - "Processing hyper voxel : 86/125 (2 neurons)\n", - "Processing hyper voxel : 13/125 (2 neurons)\n", - "Processing hyper voxel : 8/125 (2 neurons)\n", - "Processing hyper voxel : 58/125 (2 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 28/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 72238 out of total 72238 synapses\n", - "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 16.482037712994497 s\n", - "f1 = 0.0088 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 2.2612481621344207\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 232\n", - " nit: 22\n", - " success: True\n", - " x: array([0.00878192])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_iSPN_np1_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0008505860168952495 seconds\n", - "Created connection matrix 0.0012898790009785444 seconds\n", - "Created gap junction connection matrix 7.20009848009795e-05 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 223, at 0\n", - "Created distance histogram (optimised) in 0.0006126270163804293 seconds\n", - "Saving cache to networks/dSPN_to_iSPN_np1_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to iSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.05434782608695652\n", - "P(d<0.0001) = 0.04373251970505975\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_iSPN_np1_dd/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 217 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_iSPN_np1_dd/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_iSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np2_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 31/125 (150 neurons)\n", - "Processing hyper voxel : 36/125 (148 neurons)\n", - "Processing hyper voxel : 32/125 (146 neurons)\n", - "Processing hyper voxel : 37/125 (139 neurons)\n", - "Processing hyper voxel : 56/125 (124 neurons)\n", - "Processing hyper voxel : 61/125 (108 neurons)\n", - "Processing hyper voxel : 57/125 (87 neurons)\n", - "Processing hyper voxel : 6/125 (87 neurons)\n", - "Processing hyper voxel : 11/125 (74 neurons)\n", - "Processing hyper voxel : 62/125 (71 neurons)\n", - "Processing hyper voxel : 7/125 (64 neurons)\n", - "Processing hyper voxel : 30/125 (60 neurons)\n", - "Processing hyper voxel : 35/125 (56 neurons)\n", - "Processing hyper voxel : 26/125 (43 neurons)\n", - "Processing hyper voxel : 12/125 (40 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 55/125 (26 neurons)\n", - "Processing hyper voxel : 60/125 (21 neurons)\n", - "Processing hyper voxel : 41/125 (19 neurons)\n", - "Processing hyper voxel : 5/125 (17 neurons)\n", - "Processing hyper voxel : 51/125 (13 neurons)\n", - "Processing hyper voxel : 1/125 (10 neurons)\n", - "Processing hyper voxel : 10/125 (9 neurons)\n", - "Processing hyper voxel : 42/125 (8 neurons)\n", - "Processing hyper voxel : 2/125 (7 neurons)\n", - "Processing hyper voxel : 33/125 (7 neurons)\n", - "Processing hyper voxel : 66/125 (7 neurons)\n", - "Processing hyper voxel : 81/125 (7 neurons)\n", - "Processing hyper voxel : 52/125 (5 neurons)\n", - "Processing hyper voxel : 17/125 (5 neurons)\n", - "Processing hyper voxel : 25/125 (3 neurons)\n", - "Processing hyper voxel : 38/125 (3 neurons)\n", - "Processing hyper voxel : 16/125 (3 neurons)\n", - "Processing hyper voxel : 40/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 80/125 (2 neurons)\n", - "Processing hyper voxel : 63/125 (2 neurons)\n", - "Processing hyper voxel : 86/125 (2 neurons)\n", - "Processing hyper voxel : 13/125 (2 neurons)\n", - "Processing hyper voxel : 8/125 (2 neurons)\n", - "Processing hyper voxel : 58/125 (2 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 28/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 72238 out of total 72238 synapses\n", - "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 1.1165779534723246\n", - "Worker iter: 100, fitness 1.1110217962064475\n", - "Worker iter: 100, fitness 1.1110217962064475\n", - "Worker iter: 100, fitness 1.1110217962064475\n", - "Worker iter: 100, fitness 1.1110217962064475Worker iter: 100, fitness 1.1110217962064475\n", - "\n", - "Worker iter: 100, fitness 1.1110217962064475\n", - "Worker iter: 100, fitness 1.1110217962064475\n", - "Duration: 53.83431661999202 s\n", - "f1 = 0.1107, mu2 = 2.7636 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 1.1110217962064475\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 923\n", - " nit: 45\n", - " success: True\n", - " x: array([0.11072894, 2.76362851])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_iSPN_np2_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0008467950101476163 seconds\n", - "Created connection matrix 0.0013745879987254739 seconds\n", - "Created gap junction connection matrix 0.00046100097824819386 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 543, at 0\n", - "Created distance histogram (optimised) in 0.0009904199978336692 seconds\n", - "Saving cache to networks/dSPN_to_iSPN_np2_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to iSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.05543478260869565\n", - "P(d<0.0001) = 0.04017289600813628\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_iSPN_np2_dd/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 181 connections\n" - ] - }, - { - "data": { - "image/png": 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OhIODA4D0W4bk19t/ZE5MdfmcNb1a01AqV66M1q1by8+Tk5P1dhWfvk2ePBlmZmYA0v8TM23aNANHRJQ3mEhRoZJ5Ts+1a9c0rqfJLWJ04eXlpfA8Li4uV/vTlo2NjULytHfvXhw9etSAESlXvnx5efvy5csa13u/bHbLWOQnBeW74+7ujsGDB8vPly9fbpCFRonyGhMpKlRq164tb589exaxsbFq6yQnJyMkJCQXo8p6k9r8PBF36NChCpfm5/aoVOZFMjVZYR4A6tatK2+fP39eo5vtAsCePXvkbTc3N5QsWVLDKA2nIH13xo8fL58uTU5OxsSJEw0cEVHuYyJFhcpnn30mbyclJWHt2rVq62zdujXXr946ceKEwvNy5crlan+6MDc3x6RJk+TnJ06cUFgAU98yz1PSdLSlbdu28nZKSgqWL1+utk54eDj27duntI38LPN3x9TUVO36U4bk6OiIb7/9Vn6+fv16hRXoiQojJlJUqNSvXx+VKlWSn0+dOhWRkZHZlo+NjdV4xOW///7DlClTcnxq5b///pMvDQfST0vl91NKvXv3VriqK/N91fQt861dND3FWq9ePYU1oWbOnIkHDx5kWz4tLQ1ff/01kpOT5X2ZT0PltqCgIMyfPz/L6JI6W7ZsUVhk1sfHR6uFM/PS6NGj5VGztLS0HN2CiaggYiJFhU7mS8SfP3+Otm3bKqzknPlYu3btcO/ePY1u1hofH4/JkyfDw8MDI0eO1GhuzsaNG9GqVSuFFc3HjBmj4SsxHGNjY4XJwrm5Anjm03QbNmzQeE5W5kvsY2Nj0apVK9y6dStLubdv32LAgAEKo2o9evRAtWrVdIg6Z54/f45vvvkGZcuWxcSJE9XOHUpNTcWiRYuyLOBaEL47dnZ2GDt2rPw8r1ePJ8prXJCTCp327dvD398fGzZsAJA+h8bLywv+/v7w9vaGkZERrly5gsDAQLx69QoWFhYYNmwYfvvtN43af/XqFebNm4d58+bB3d0d9erVg5eXFxwcHGBpaYnY2FjcvHkT+/btQ3h4uELd1q1bo3///np/zbmhc+fO8Pb2RmhoaK72061bN0yePBlJSUlISEiAj48PSpQoAScnJ3ltIiD93nguLi7y81atWmHYsGH4888/AaRfCVm9enV06NABn3zyCSwtLXHnzh2sX79eIZEuU6YM5s+fn6uvKTtPnz7FtGnTMG3aNFSsWBH16tVDxYoV4eDgAFNTU7x69QrXrl3D7t27syQggwYNUrhXYH42fPhw/P7771wCgT4ITKSoUFq1ahVevnyJgwcPAkhfeHH58uVZ5tKYmZnh77//Vjjlkx0LCwtIkqSw2vSDBw9UnlLKrGfPnli2bJlGo1/5gSRJmDlzJlq1apWr/bi7u2P+/PkYNmyYPHIXFRWVZamCpKSkLHUXLFiAtLQ0LF68GED66FNgYCACAwOV9lWpUiUcOHAgz5c9ULZo6O3btzW6RY2xsTFGjhxZoBa5tLS0xMSJE/P09CmRoRSM3+hEOWRubo69e/di1qxZCmtLZVa7dm2EhIRofP+7hg0b4smTJ/jzzz/x2WefafTH2MLCAl26dMGRI0ewatUqmJub5+RlGJyvry98fHxyvZ9Bgwbh/PnzGDp0KKpXrw57e3uF0ajsSJKERYsWYc+ePSrvF+fg4ICpU6fiwoULWt3YWVfdunXD3bt38euvv6J58+YazXOytbVFnz59cP78efzyyy+QJCkPItWffv36KSxTQVRYSSLzf6+JCqF3797h0KFDuHv3Lt68eQMXFxfUqFEjRzc1ViYtLQ13797F7du38fDhQ8TFxSElJQU2NjYoVqwYvLy8UKVKlQKXPBVk9+/fx6lTpxAREYF3797B0dERlSpVwieffJKvRgJTUlLkEaknT54gLi4OQgjY2NigRIkS+Oijj1CpUiWFVc2JKH9iIkVERESkpfzzXzQiIiKiAoaJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEhRnhJCYODAgShWrBgkScLFixcNHRKRQf30008YOHCgocPQWFJSEsqXL4+TJ0+qLZtfX5uHhwd+//13Q4ehtSVLluDzzz/Ps/727t2L6tWrIy0tTd6XlJQEDw8PnDt3Ls/iyK+YSFGe2rt3LwICArBz5048e/YMH330EY4ePYrPP/8cLi4ukCQJ27dvz5NYQkJC4O3tDXNzc5QvXx4BAQEqy799+xa9e/dG1apVYWJigvbt22cp8+zZM3Tr1g0VK1aEkZERvv32W6Vtbdq0CZUqVYKFhQWqVq2K3bt3KxyXJEnp49dff9Xy1erP/fv30a9fP5QpUwaWlpYoV64cJk2ahKSkpFzrMzo6Gl9//TU8PT1haWmJ0qVLY8SIEYiNjVVZT9P3cdeuXahbty4sLS1RtGhRhc/25cuXaNWqFVxcXGBubg43NzcMHz4ccXFxCm28e/cO48ePh7u7O8zNzeHh4YEVK1aojC8iIgJ//PEHxo8fL+8z1M+DppYsWYIyZcqgfv36Ksspe20A8Oeff8LDwwMWFhaoW7cuzpw5o3Hf69evhyRJSn/2AKBJkyYat6VMmTJlcPDgQQDp/+mbM2cOKlasCHNzc7i6umLGjBkK5XP6O0RT6vru27cvQkNDcezYsSx1Q0JCMHnyZKXtKjumyc9zq1atYGpqinXr1sn7zMzMMHr0aPzwww+6vdhCgIkU5am7d++iZMmSqF+/PpydnWFiYoLXr1+jWrVq+PPPP/MsjvDwcLRt2xZNmzbFxYsX8e2336J///7Yt29ftnVSU1NhaWmJESNGoHnz5krLvHv3DiVKlMCECRNQrVo1pWVOnjyJL7/8Ev369cOFCxfQvn17tG/fHlevXpXLPHv2TOGxYsUKSJKETp066fbC9eDmzZtIS0vD0qVLce3aNcybNw9LlizBjz/+mGt9Pn36FE+fPsWcOXNw9epVBAQEYO/evejXr5/Kepq8j1u2bMFXX32FPn364NKlSzhx4gS6desmHzcyMkK7du0QFBSE27dvIyAgAAcPHsTgwYMV+urSpQsOHTqE5cuX49atWwgMDISnp6fK+P7++2/Ur18f7u7u8j5D/DxoSgiBhQsXqn3fAeWvbcOGDRg5ciQmTZqE0NBQVKtWDb6+vnj+/Lna9u7fv4/Ro0ejUaNGCvt37tyJ0NBQhX3r16/H7du3NXxV6S5fvoxXr17Bx8cHAPDNN9/g77//xpw5c3Dz5k0EBQWhTp06cnltfodoSl3fZmZm6NatG+bPny/vW7JkicL7mJSUhN9++w3Jyckqj2n689y7d2+F/gCge/fuOH78OK5du6bzay7QBFEe6dWrlwAgP9zd3bOUASC2bduW67F8//33okqVKgr7/P39ha+vr0b1e/XqJdq1a6eyjI+Pj/jmm2+y7O/SpYto27atwr66deuKQYMGZdtWu3btxKeffqpRbBlWrlwp7OzsxI4dO0TFihWFpaWl6NSpk3j9+rUICAgQ7u7uwt7eXnz99dciJSVFrqfsM7CzsxMrV67Mtq9ffvlFlClTJkfx6Wrjxo3CzMxMJCcna1zn/fcxOTlZuLq6ir///jtHff/xxx+iVKlS8vM9e/YIOzs78fLlyxy1U6VKFbFw4cJsj+fk5+HVq1eiX79+wsHBQdjY2IimTZuKixcvCiGEeP78uXBychIzZsyQy584cUKYmpqKgwcPCiGEmDRpkqhWrZpYsmSJKFWqlLC0tBR+fn4iJiZGrnP27FlhZGQk4uLitHptderUEcOGDZOfp6amChcXFzFr1iyVbaWkpIj69euLv//+O8vP3rVr10TLli3FxIkTRbVq1YSfn58YOHCg/FlERkaKzz77TFhYWAgPDw+xdu1a4e7uLubNm6fQx9SpU4W/v78QQojr168LExMTcfPmzWxj0uR3SGpqqpg5c6bw8PAQFhYW4uOPPxabNm1S+Vo16VsIIY4cOSLMzMxEYmKiEEKInTt3irp164oRI0aIzp07iwYNGog5c+aI5ORklceUUfbz/ODBAwFAhIWFKexv2rSpmDBhgspYCzuOSFGe+eOPPzB16lSUKlUKz549w9mzZ7Vu69ixY7C2tlb5yDwM/b5Tp05lGVXy9fXFqVOntI5JUzntOzIyErt27dJoFOB9iYmJmD9/PtavX4+9e/ciJCQEHTp0wO7du7F7926sWbMGS5cuxebNm7V6LRliY2NRrFgxlWVat26t8vOqUqVKjvu0tbWFiYmJRuWVvY+hoaF48uQJjIyMUKNGDZQsWRKtW7dWGB1839OnT7F161Z55AIAgoKCUKtWLfzyyy9wdXVFxYoVMXr0aLx58ybbdqKjo3H9+nXUqlVLo/jV8fPzw/Pnz7Fnzx6cP38e3t7eaNasGaKjo1GiRAmsWLECkydPxrlz5xAfH4+vvvoKw4cPR7NmzeQ2wsLCsHHjRuzYsQN79+7FhQsXMHToUPn4sWPHULFiRdjY2KiMRdlrS0pKwvnz5xW++0ZGRmjevLnan7upU6fC0dFR6c+Al5cX9u3bhzt37uDSpUto3rw5li5dKn8fe/fujUePHiE4OBibN2/GokWLlI6ABQUFoV27dgCAHTt2oGzZsti5cyfKlCkDDw8P9O/fH9HR0XJ5TX6OZ82ahdWrV2PJkiW4du0avvvuO/To0QNHjhzJ9rVq0jcA1KpVCykpKfjvv/8AAG3btsW+ffuwf/9+7N69GwsWLMCoUaNgYmKi8pgyyn6eS5cuDScnpyynE+vUqaP0FOOHRLPfQNmoX78+Bg8ejC5dusDCwkJfMVEhZWdnBxsbGxgbG8PZ2VmntmrVqqV2orqTk1O2xyIiIrIcd3JyQlxcHN68eQNLS0ud4lMlu74jIiKUll+1ahVsbGzQsWPHHPeVnJyMxYsXo1y5cgCAzp07Y82aNYiMjIS1tTW8vLzQtGlTBAcHw9/fP+cvBul/fBcsWIA5c+aoLPf333+rTCxMTU017vPFixeYNm1ajiYyK3sf7927BwCYPHky5s6dCw8PD/z2229o0qQJbt++rfDH5Msvv8S///6LN2/e4PPPP8fff/+t0M7x48dhYWGBbdu24cWLFxg6dChevnyJlStXKo3n4cOHEELAxcVF49eQnePHj+PMmTN4/vw5zM3NAQBz5szB9u3bsXnzZgwcOBBt2rTBgAED0L17d9SqVQtFihTBrFmzFNp5+/YtVq9eDVdXVwDAggUL0LZtW/z2229wdnbGgwcPNIpX2Wt78eIFUlNTlX73b968qfK1LV++PNuf91u3buHbb79F7dq1Ua1aNRw8eBAXL17EjBkzEBUVhT179uDMmTOoXbs2AGD58uWoXLmyQhtPnjzB5cuX0bp1awDpn+eDBw+wadMmrF69Gqmpqfjuu+/QuXNnHD58GID63yFGRkaYOXMmDh48iHr16gEAypYti+PHj2Pp0qUKiXhmmvQNAFZWVrCzs8ODBw8ApM8/nTJlClq2bImnT59ixIgR6Ny5M4YPH44DBw5ke8zY2Fihf1U/zy4uLnJ/qvZ9aHQakTp9+jT69OkDFxcXfPvtt7h+/bq+4iJSydLSEuXLl1f5UPe/5oJixYoV6N69u1b/WbGyspKTKCD9F72Hhwesra0V9mkyR0WZJ0+eoFWrVvDz88OAAQNUlnV1dVX5eWWeS6NKXFwc2rZtCy8vr2wn1Sqj7H3MuApp/Pjx6NSpE2rWrImVK1dCkiRs2rRJof68efMQGhqKf//9F3fv3sXIkSMV2pEkCevWrUOdOnXQpk0bzJ07F6tWrco2eczYn9PPdebMmQojeQ8fPsSlS5eQkJCA4sWLKxwLDw/H3bt35bpz5sxBSkoKNm3ahHXr1slJV4bSpUvLSRQA1KtXD2lpabh165Yc8/vxZh5pzBhV1Pa1vS9j5Oyvv/6Cg4OD0jK3b9/GjBkzMHXqVNjb22Pjxo1o1KgRoqKicOPGDZiYmKBmzZpy+UqVKsHe3l6hjaCgIDRs2FDen5aWhnfv3mH16tVo1KgRmjRpguXLlyM4OFh+L9QJCwtDYmIiWrRoofCZrF69Wv5MqlSpIu/PSOJy0relpSUSExMBpM/Z+vfff9GhQwdUqVIFhw4dQnJyMtLS0lQey0zdz3Pm/lTt+9DoNCIFpE8+jImJwYIFC7BgwQJ5lMrPzw9mZmb6iJEoi2PHjsm/eLKzdOlSdO/eXekxZ2dnREZGKuyLjIyEra1tro5Gqepb2SjdsWPHcOvWLWzYsEGrvt4f5ZEkSem+zL9QJUmCEEKhTHJycpa2nz59iqZNm6J+/fpYtmyZ2lhat26t8hSAu7u72kmr8fHxaNWqFWxsbLBt2zaNR7Gyex9LliwJIP30UAZzc3OULVsWDx8+VCjr7OwMZ2dnVKpUCcWKFUOjRo3w008/oWTJkihZsiRcXV1hZ2cnl69cuTKEEHj8+DEqVKiQJaaMxODVq1coUaKERq8DgHwWIIOLiwsSEhJQsmRJhISEZCmfOWm4e/cunj59irS0NNy/fx9Vq1bVuN+MmK9cuaKwL/NIY8bnoey1OTg4wNjYWOPvfka89+/fV7jUP+O7amJiglu3bildBuDLL78EANy4cUOj1xUUFIQvvvhCfl6yZEmYmJigYsWK8r6MUayHDx/C09NT7e+QhIQEAOlXhGZOTgHICezu3bvln62M3zua9J0h47QtAAwZMgQA5AGNjKvq1B3LoMnPc+b+VO370OiUSN27dw/Lli1DQECAfFri5MmTOHnyJL755hv06tULAwYMQKVKlfQSLFEGXU/t1atXL8uSAwcOHJCH4HNTvXr1cOjQIYWlEbLre/ny5ahZs2a2VwDmhhIlSuDZs2fy8zt37mT5H+eTJ0/QtGlTeQTHyEj94Laup/bi4uLg6+sLc3NzBAUF5Wi0I7v3sWbNmjA3N8etW7fQsGFDAOlJ4/3791WOkGX8MX/37h0AoEGDBti0aRMSEhLk0b7bt2/DyMgIpUqVUtpGuXLlYGtri+vXryv80VSnWLFiWeaveHt7IyIiAiYmJvDw8FBaLykpCT169IC/vz88PT3Rv39/XLlyBY6OjnKZhw8f4unTp/IpudOnT8PIyEj+412jRg0sXrwYQghIkgQAWZKE7F6bmZkZatasiUOHDsnLF6SlpeHQoUMYPny40pgrVaqUJXGbMGEC4uPj8ccff8DNzU3h2PuJZKVKlZCSkoLz58/Lp/Zu3bqFmJgYuUxCQgKCg4OxePFieV+DBg2QkpKCu3fvyiO6GVcBZnwv1P0O8fLygrm5OR4+fJjtaTxl3zFN+gbSk8y3b9+iRo0aCvWbNGmS7TIQ2R3T5Of57du3uHv3bpb+rl69mmXfB0cfM9aTk5PF5s2bRcuWLYWRkZGQJElIkiSMjIyEkZGR8PHxEYGBgSIpKUkf3VEBNm/evCxX68XHx4sLFy6ICxcuCABi7ty54sKFC+LBgwe5Fse9e/eElZWVGDNmjLhx44b4888/hbGxsdi7d69cZsGCBVmulLt27Zq4cOGC+Pzzz0WTJk3kuDPL2FezZk3RrVs3ceHCBXHt2jX5+IkTJ4SJiYmYM2eOuHHjhpg0aZIwNTUVV65cUWgnNjZWWFlZicWLF2v1GjOu2sss48qszN6/Cqpr166icuXKIjQ0VJw9e1Z8+umnwtTUVL5q7/Hjx6J8+fKiWbNm4vHjx+LZs2fyI7fExsaKunXriqpVq4qwsDCFPjNfcejp6Sm2bt2apa6q9/Gbb74Rrq6uYt++feLmzZuiX79+wtHRUURHRwshhNi1a5dYsWKFuHLliggPDxc7d+4UlStXFg0aNJDbiI+PF6VKlRKdO3cW165dE0eOHBEVKlQQ/fv3V/m6OnbsKEaNGqWwT5ufh7S0NNGwYUNRrVo1sW/fPhEeHi5OnDghfvzxR3H27FkhhBCjR48WHh4eIjY2VqSmpoqGDRsqXD06adIkUaRIEdG8eXNx8eJFcfToUVGxYkXRtWtXucyLFy+Uflc1fW3r168X5ubmIiAgQFy/fl0MHDhQ2Nvbi4iICLnMV199JcaOHZttu5pcMZtZq1atRI0aNcTp06fFuXPnRMOGDYWlpaV81d6mTZtE1apVFeqkpqYKb29v0bhxYxEaGirOnTsn6tatK1q0aCGX0eR3yPjx40Xx4sVFQECACAsLE+fPnxfz588XAQEB2carSd9CpP98ly1bVuP3ITua/jwHBwcLa2tr8fr1a4X97u7uYvXq1TrHUZDpffmDe/fuibFjxwpnZ+csCVWJEiXEmDFjxO3bt/XdLRUQyhKp4OBghWURMh69evXK1ViCg4NF9erVhZmZmShbtmyWy/snTZqUJVZ3d3elsWam7Pj77WzcuFFUrFhRmJmZiSpVqohdu3ZliW/p0qXC0tJS4fLzzHx8fFS+R9omUk+ePBEtW7YURYoUERUqVBC7d+9WWP5g5cqVSl+jnv5fplR23xEAIjw8XC4HIMvnqO59TEpKEqNGjRKOjo7CxsZGNG/eXFy9elU+fvjwYVGvXj1hZ2cnLCwsRIUKFcQPP/wgXr16pdDOjRs3RPPmzYWlpaUoVaqUGDlypHxpenZ2794tXF1dRWpqqtrXqu7nIS4uTnz99dfCxcVFmJqaCjc3N9G9e3fx8OFDERwcLExMTMSxY8fk8uHh4cLW1lYsWrRICPG/78aiRYuEi4uLsLCwEJ07d5YTygxdunRRmeioem1CpP8HpXTp0sLMzEzUqVNHnD59WuG4uu91ThOpZ8+eibZt2wpzc3NRunRpsXr1aoXlD3r06CHGjx+fpd6TJ09Ex44dhbW1tXBychK9e/fOsryFut8haWlp4vfffxeenp7C1NRUlChRQvj6+oojR46ojFmTvlu2bKl22QhNaPrzPHDgwCxLtJw8eVLY29ur/Z4Xdrn2my85OVls2rQp21GqTz/9VGzcuDFHa8AQ0f+ULl1a5dpOlP+lpaWJ2rVri3/++cfQoShNspW5dOmScHR0FPHx8SrL5afXlp3k5GRRrFgx8d9//xk6lBy5evWqcHR0zPY/B/oWFRUlihUrJu7du6ewv0uXLgprk32ocm0dKRMTE3Tu3Fle32Ps2LFwcnKCSE/eEBISgq5du6JUqVIYP348Hj9+nFuhEBU6165dg52dHXr27GnoUEgHkiRh2bJlSElJMXQoGvv4448xe/ZshIeHqyxXEF5bdHQ0vvvuO3n+VEHx7NkzrF69WuHihtx0//59LFq0CGXKlJH3JSUloWrVqvjuu+/yJIb8TBLivctzcsnRo0fx559/YtOmTfIkxYyuM64kGjRoEGbMmKFwaTYREeW+yZMnY/v27byROFEO5Woi9erVK6xatQrLli2T17/I6K5s2bJo1qwZtm/fjqioqPRgJAmenp44ceIEihYtmlthEREREelFrpzaO3r0KHr06AFXV1eMGjUKt27dki+X/fzzz7F7927cuXMHS5cuxePHj7Fu3Tp5zZVbt25h5syZuREWERERkV7pbUQqOjpaHn3KWPMio2knJyf069cPAwcOROnSpZXWT0pKwqeffoqTJ0+iQoUKGq8eS0RERGQoOq9sfuTIESxbtgzbtm2TF6fLSKAaN26MIUOGoFOnTmpvLGpmZoZBgwbh5MmTH/x9e4D09zA+Ph42NjbynDIiIiLKX3RKpCpVqoQ7d+4A+F/yZGtri6+++gpDhgxRuO2CJjJW2FV2O4oPTXx8POzs7OQ73BMREVH+o1MilXEKDwCqVauGoUOHonv37rCystKqvWLFiqFx48YcgSEiIqICQac5UhYWFvD398eQIUPwySef6DOuD15cXBxHpIiIiPI5nUaknj59muXmmUREREQfCp0SqYSEBCQkJMDR0TFHd2J/9+4dIiMjASDbq/iIiIiI8jud1pHy8PBA2bJlsX///hzVCwkJkesSERERFVQ6L8ipyzJUeXR3GiIiIqJckWs3LSYiIiIq7AySSMXHxwOA1sskEBEREeUHBkmkDh48CAAoWbKkIbonIiIi0guNr9o7cuQIjhw5ovTY+vXrcfHiRZX1hRB4/fo1QkNDERwcDEmSUL9+/RwFS0RERJSfaJxIhYSEYOrUqVn2CyGwYcOGHHUqhICpqSlGjBiRo3pERERE+UmO1pHK7iq7nF595+3tjZkzZ8Lb2ztH9YiICoovlhg6gvwvaLChIyDSncaJVO/evdGkSRP5uRACn376KSRJwrRp09CgQQOV9Y2MjGBtbY0yZcrA3t5e23iJiIiI8g2NEyl3d3e4u7srPfbRRx/Bx8dHb0ERERERFQQ63SImODgYQHoiRURERPSh0SmR4igUERERfci4sjkRERGRlphIEREREWlJo1N7xsbGAABJkpCSkpJlv7beb4+IiIioINEokdLX+lFEREREhYlGiVTjxo0hSZLG+4mIiIg+BBolUiEhITnaT0RERPQh4GRzIiIiIi0xkSIiIiLSEhMpIiIiIi3leiIVERGBb775Bt7e3vj444/Rq1cvXLlyJbe7JSIiIsp1OiVSx44dg62tLezs7HD8+PEsxyMiIlC7dm0sXLgQly5dwrVr17B27VrUrl0b+/fv16VrIiIiIoPTKZHavn07EhISULRoUTRs2DDL8dGjR+PJkycQQig8kpKS0KNHD8TGxurSPREREZFB6ZRInTt3DpIkoUWLFlmOvXz5Ehs3boQkSfj4449x4cIFxMTEYMaMGfLxlStX6tI9ERERkUHplEg9e/YMAFCtWrUsx3bt2iXf/uXvv/9GtWrVYGtri3HjxqFBgwYAgN27d+vSPREREZFB6ZRIvXz5EgDg6OiY5djRo0cBAGXLlkWtWrUUjn3xxRcQQuDatWu6dE9ERERkUDolUvHx8QCAtLS0LMdOnjwJSZLQtGnTLMdcXV0BANHR0bp0T0RERGRQOiVS1tbWAIDnz58r7H/+/Dlu3rwJAKhfv36WesbGxgB402MiIiIq2HRKpMqXLw8AOHDggML+7du3y9sZ86Eyi4qKAgAULVpUl+6JiIiIDEqnRKpp06YQQmDfvn3yxPGHDx9i1qxZAIBy5cqhQoUKWepdvnwZQPr8KSIiIqKCSqdEatCgQTA3N0dqaio+//xzODs7o1y5cnj48CEkScLw4cOV1jtw4AAkSUKNGjV06Z6IiIjIoHRKpMqWLYs///wTRkZGEELg+fPnSE1NhRACzZo1w7Bhw7LUOXXqFB48eAAAaNSokS7dExERERmUia4N9O3bF97e3li+fDnCwsJQpEgRtGzZEn379pUnlWe2efNmuLu7Q5Ik+Pr66to9ERERkcFIgpfO5UtxcXGws7NDbGwsbG1tDR0OEeXQF0sMHUH+FzTY0BEQ6U6nU3tEREREHzImUkRERERaYiJFREREpCWdJ5sDQGpqKnbs2IE9e/bg6tWrePXqFd6+fau2niRJuHv3rj5CAAAEBQVhzZo1OHv2LCIiImBra4vy5cujQ4cOGDRoUJ7MNerduzdWrVolP580aRImT56c6/0SERFR3tM5kbp+/Tr8/f1x/fp1hf2azGGXJEnX7gEACQkJ6N69O4KCghT2R0VFISoqCqdOncKCBQuwceNGfPLJJ3rpU5k9e/YoJFFERERUuOmUSEVFRaFZs2Z4/vy5nDiZmJjAwcEB5ubmeglQndTUVPj5+WHv3r0AACcnJwwYMABeXl6Ijo5GYGAgTpw4gUePHqFNmzY4ceIEKleurPc44uLiMGjQIABAkSJF8Pr1a733QURERPmLTonUr7/+isjISEiShOrVq2PWrFlo2rQpzMzM9BWfWn///becRHl5eeHw4cNwcnKSjw8bNgyjR4/Gb7/9hlevXmHQoEE4evSo3uMYM2YMHj16BDc3N/j5+WHu3Ll674OIiIjyF50mm+/atQtA+s2Ljx8/Dl9f3zxNolJTUzFlyhT5+Zo1axSSqAyzZ89G9erVAQDHjh3D/v379RrH4cOH8ddffwEAFi1aBBsbG722T0RERPmTTonUgwcPIEkSBg4cCCsrK33FpLGjR4/i2bNnAAAfHx94e3srLWdsbIwRI0bIzwMDA/UWQ2JiIgYMGAAhBPz9/fHZZ5/prW0iIiLK33RKpExNTQEAHh4e+oglx/bs2SNvt2nTRmXZ1q1bK62nq3HjxuHevXsoVqwY/vjjD721S0RERPmfzjctBoDo6Gi9BJNTV65ckbdr166tsqyzszPc3NwAAJGRkYiKitK5/5MnT2LhwoUAgDlz5ig9rUhERESFl06JVKdOnSCEwMGDB/UVT47cunVL3i5Tpoza8pnLZK6rjbdv36Jv375IS0tDs2bN0KdPH53ae/fuHeLi4hQeRERElL/plEgNGzYMbm5u2Lp1K06cOKGvmDQWExMjbzs4OKgtX7x4caV1tTFx4kTcunULlpaWWLp0qU5tAcCsWbNgZ2cnPzJGz4iIiCj/0imRsrOzw/bt2+Hg4IC2bdti9erVSEtL01dsaiUkJMjbFhYWastbWlrK2/Hx8Vr3e/bsWXl5gylTpqBcuXJat5Vh3LhxiI2NlR+PHj3SuU0iIiLKXTqtI9W3b18AQJUqVXD48GH06dMHY8aMQe3ateHg4AAjI9V5miRJWL58uS4h5LmkpCT07dsXqamp8Pb2xsiRI/XSrrm5eZ4tYkpERET6oVMiFRAQIN/mJePfFy9e5OiqOF0SKWtra7x69QpA+pwla2trleXfvHkjb2u71tP06dNx9epVGBsb46+//oKxsbFW7RAREVHBp9OpPSD9nnraPnRlb28vb7948UJt+ZcvXyqtq6lLly7h559/BgCMHDky23WriIiI6MOg04hUeHi4vuLQiqenpxxDeHi42vWsMsfr6emZ4/4CAgKQnJwMIyMjmJqaYvr06UrLZb4FzdGjR+Vynp6e8PPzy3G/RERElD/plEi5u7vrKw6tVK1aVb7P3tmzZ9G0adNsy0ZGRsoTuB0dHVGiRIkc95cxipaWloaZM2dqVCc4OBjBwcEAgHbt2jGRIiIiKkR0PrVnSK1atZK31c3L2r17t7ytbhV0IiIiIk0U6ETKx8cHzs7OAICQkBCEhoYqLZeamor58+fLz7t27apVf7///rtGc78mTZok15k0aZK8f/v27Vr1S0RERPmTXhOp5ORkHD9+HMuWLcPPP/+MqVOn6rP5LIyNjTFx4kT5ec+ePfH8+fMs5caOHYuLFy8CABo0aABfX1+l7WVchShJEpo0aZIbIRMREVEhotMcqQxJSUmYPn06Fi5ciNjYWIVjmRMdABgzZgz+/fdfuLm54dChQzr3PWDAAGzbtg0HDhzAtWvXUK1aNQwYMABeXl6Ijo5GYGAgjh8/DiD9Sj19rEJOREREBOghkXr58iVatGiBS5cuZVnSIGNtqczat2+P3377DXfv3sW5c+dQq1Ytnfo3MTHBli1b0K1bN+zcuRMRERGYNm1alnKlSpXChg0bUKVKFZ36IyIiIsqg86m9Tp064eLFixBCoEGDBli6dGmWUajMGjRogFKlSgFQP0FcUzY2NtixYwe2b9+Ojh07ws3NDebm5nBwcEDdunUxe/ZsXL16FfXr19dLf0REREQAIAkdVsbcunUrOnfuDEmSMGrUKPzyyy8AgH///RcdOnSAJElITU3NUq9v374ICAiAr6+v3pKpwiYuLg52dnaIjY2Fra2tocMhohz6YomhI8j/ggYbOgIi3ek0IvXPP/8AAD7++GM5idLExx9/DAC4deuWLt0TERERGZROidSZM2cgSRK+/PLLHNVzcnICAERFRenSPREREZFB6ZRIZSRCZcuWzVE9U1NTAOlX+xEREREVVDolUhYWFgBynhBlJGBFixbVpXsiIiIig9IpkSpZsiQA4MaNGzmqd/r0aQBAmTJldOmeiIiIyKB0SqQaNWoEIQQ2bdqUZQ2p7Lx48QJbtmyBJEnw8fHRpXsiIiIig9IpkerRowcA4M6dO5gxY4ba8klJSejRowcSExMhSRJ69+6tS/dEREREBqXziFTbtm3lG/UOGjQIYWFhWcolJiZi27ZtqFu3Lg4cOABJktCjRw9UqlRJl+6JiIiIDEqnBTkBIDY2FvXr18eNGzfkW8JYWFjgzZs3kCQJxYoVQ0xMDNLS0gAAQghUr14dx48fh5WVle6voJDigpxEBRsX5FSPC3JSYaDzLWLs7Oxw+vRp+Pv7QwgBIYScRAHp9+JLTU2Vj/n5+eHo0aNMooiIiKjA0zmRAtLvdRcYGIhLly5h5MiRqFWrFooXLw5jY2PY29vjo48+wrBhw/Dff/9hw4YNsLa21ke3RERERAZlos/Gqlatijlz5uizSSIiIqJ8Sy8jUkREREQfIiZSRERERFpiIkVERESkJY3mSPXt2zdXOpckCcuXL8+VtomIiIhym0brSBkZGcnLGehbampqrrRb0HEdKaKCjetIqcd1pKgw0PiqPU3W7ZQkSWW594/nVnJGRERElBc0SqTCw8OzPZacnIyxY8di69atsLa2Ro8ePdCsWTOUL18eRYoUwevXrxEWFoZDhw5h3bp1iI+PR8eOHfHzzz/DxESvqy8QERER5SmdbxHj7++PzZs3o1GjRli/fj2cnZ2zLRsZGQl/f38cO3YMXbp0QWBgoC5dF2o8tUdUsPHUnno8tUeFgU5X7W3atAmbNm1CqVKlsHPnTpVJFAA4OTlh586dcHV1xcaNG7F582ZduiciIiIyKJ0SqRUrVkCSJPTt21fj275YW1ujX79+EEJgxYoVunRPREREZFA6JVJXrlwBAFSuXDlH9TLKX758WZfuiYiIiAxKp0Tq5cuXAID4+Pgc1cson1GfiIiIqCDSKZEqUaIEAGDv3r05qrdnzx6F+kREREQFkU6JVOPGjSGEwNatW7Ft2zaN6mzfvh1bt26FJElo3LixLt0TERERGZROidSIESNgZJTehL+/P8aOHYuIiAilZSMiIjBu3Dj4+/sDSF+Mc8SIEbp0T0RERGRQOq8jNXnyZEydOlVepdzIyAiVKlVC+fLlYWVlhcTERISFheHmzZtIS0uTVzafNGkSJk2apPsrKKS4jhRRwcZ1pNTjOlJUGOi8tPjkyZNhZ2eH8ePH4+3bt0hNTcX169dx/fp1hXIZCZSFhQVmzpyJb7/9VteuiYiIiAxKp1N7Gb777jtcu3YN3377Ldzd3SGEyPLw8PBQKEdERERU0Ol8ak+ZqKgoPH36FAkJCbC2toaLiwuv0MshntojKth4ak89ntqjwiBX7hpcokQJJk5ERERU6Onl1B4RERHRh4iJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWmEgRERERaYmJFBEREZGWdEqk9u/fr684iIiIiAocnRKpVq1aoXz58pg9ezaeP3+ur5iIiIiICgSdT+2Fh4fjxx9/hJubG/z9/XHo0CF9xEVERESU7+mUSPXq1QsWFhYQQiA5ORmbN29Gy5YtUbFiRcyZMwcvXrzQV5xERERE+Y5OidTKlSvx9OlT/PHHH/joo48ghIAQAnfv3sUPP/yAUqVKoVu3bggJCdFTuERERET5h86n9uzs7PD111/j8uXLOHHiBHr27CmPUiUlJWHDhg1o1qwZKlWqhHnz5iE6OlofcRMREREZnF6XP6hXrx4CAgKUjlLduXMHo0ePhqurK7766iscO3ZMn10TERER5blcWUfq/VGqr776Sh6levfuHf755x80adIEVapUwfz58xETE5MbYRARERHlqlxfkLNevXpYtWoVnj59iuHDh8v7hRC4efMmvvvuO5QqVQrDhg3DkydPcjscIiIiIr3J9UQqJSUFGzZsQMeOHfHnn39CkiQIIQBAPu2XmJiIJUuWwNPTE3/99Vduh0RERESkF7mWSIWFheH777+Hq6urfOVeRuJUp04drFy5Ek+ePMHcuXPh6ekpJ1SDBw/Gvn37cissIiIiIr2RRMbwkB4kJydjy5YtWLZsGY4cOQIA8uiTlZUVvvzySwwdOhQ1atTIUnfNmjUYMmQIEhMT4ePjg+DgYH2FVSDFxcXBzs4OsbGxsLW1NXQ4RJRDXywxdAT5X9BgQ0dApDsTfTRy584dLFu2DKtWrcLLly8B/C+BqlSpEoYMGYKePXvCzs4u2za++uor3L59GzNmzMC1a9f0ERYRERFRrtIpkQoMDMSyZctw9OhRAP9LnkxNTdG+fXsMGTIETZo00bi9OnXqAICcjBERERHlZzolUt27d1eYPF6qVCkMHDgQ/fv3h7Ozc47bMzMz0yUcIiIiojyll1N7LVu2xJAhQ/D555/DyEj7+et16tT54OdGERERUcGhUyI1evRoDBo0COXKldNLMEWLFoWPj49e2iIiIiLKbTolUr/88ou+4iAiIiIqcHRaR6pv377o27cvLl68mKN6V69eRd++fdGvXz9duiciIiIyKJ0SqYCAAKxatQoPHz7MUb0nT54gICAAAQEBunRPREREZFC5fosYIiIiosLKIIlUamoqAMDERC8XDRIREREZhEESqfDwcADgrU+IiIioQNPLkJAkSRqVS0xMRGhoKP744w9IkoTKlSvro3siIiIig9A4kZoyZQqmTp2aZb8QAu3bt9eq8w4dOmhVj4iIiCg/yNGIVMatYDTdr0qTJk0wfPjwHNcjIiIiyi80TqQ8PDyyrDp+5MgRSJIELy8vODg4qKxvZGQEa2trlClTBs2bN0ebNm10up0MERERkaFJQpvhpP9nZGQESZKwbds2fPHFF/qM64MXFxcHOzs7xMbGclI+UQH0xRJDR5D/BQ02dAREutNpsnnjxo0hSZLa0SgiIiKiwkinRCokJERPYRAREREVPJykRERERKQlJlJEREREWtLo1F7m9aMmTpyodL+2MrdHREREVJBodNVextV5wP/uk/f+fm1lbo/+h1ftERVsvGpPPV61R4WBxpPNhRBKkyYdVk/QOQkjIsNgkkBElE6jRCo4ODhH+w0lKCgIa9aswdmzZxEREQFbW1uUL18eHTp0wKBBg/Q2shMfH4/9+/cjODgYoaGhuHPnDmJiYmBpaQkXFxfUqVMH3bp1g6+vL5NFIiKiQkynBTnzi4SEBHTv3h1BQUHZlnFzc8PGjRvxySef6NTX3LlzMX78eLx9+1Zt2UaNGmHt2rUoXbp0jvvhqT3KzzgiRfrAU3tUGOi0jlR+kJqaCj8/P+zduxcA4OTkhAEDBsDLywvR0dEIDAzEiRMn8OjRI7Rp0wYnTpxA5cqVte7v9u3bchLl6uqK5s2bo2bNmnB0dMTbt29x+vRprF27FgkJCTh27BiaNGmC06dPw9HRUS+vl4iIiPKPAj8itXTpUgwenP7fGi8vLxw+fBhOTk4KZUaPHo3ffvsNQPoo0dGjR7Xub8iQIbh37x5Gjx6NZs2aKb1f4IMHD+Dr64tbt24BAPr06YMVK1bkqB+OSFF+xhEp0geOSFFhUKATqdTUVLi5ueHZs2cAgPPnz8Pb21tpuVq1auHixYsAgH379qFly5Za9RkdHY1ixYqpLXfp0iVUr14dAGBlZYWoqChYWVlp3A8TKcrPmEiRPjCRosKgQC/IefToUTmJ8vHxUZpEAYCxsTFGjBghPw8MDNS6T02SKACoVq0aPD09AQCJiYkICwvTuk8iIiLKnzSaI2VsbJwrnUuShJSUFK3r79mzR95u06aNyrKtW7dWWi83ZR5JevPmTZ70SURERHlHoxEpIUSuPXRx5coVebt27doqyzo7O8PNzQ0AEBkZiaioKJ36VicpKQm3b9+Wn7u7u+dqf0RERJT3NBqRaty4cb5cDyljMjcAlClTRm35MmXK4NGjR3LdEiVK5Fps//zzD2JjYwEA3t7ecHZ2Vln+3bt3ePfunfw8Li4u12IjIiIi/dAokQoJCcnlMLQTExMjbzs4OKgtX7x4caV19S0qKgo//PCD/HzChAlq68yaNQtTpkzJtZiIiIhI/wr0ZPOEhAR528LCQm15S0tLeTs+Pj5XYkpKSkKnTp3w/PlzAED79u3RoUMHtfXGjRuH2NhY+ZExckZERET5V4FfkDM/SUtLQ9++fXHs2DEAQLly5TReP8rc3Bzm5ua5GR4RERHpWYEekbK2tpa3NbllS+Yr52xsbPQaixACgwcPxrp16wAApUuXxsGDB1G0aFG99kNERET5R4FOpOzt7eXtFy9eqC3/8uVLpXV1JYTA0KFD8ddffwEASpUqhcOHD8PDw0NvfRAREVH+o9GpvalTp8rbEydOVLpfW5nbyylPT0+Eh4cDAMLDw9UmLhllM+rqgxACw4YNw5Il6Us9u7q6Ijg4GOXKldNL+0RERJR/aXSLGCMjI3n5g9TUVKX7tZW5vZz6/vvv8euvvwIAZs+eje+//z7bspGRkfISBI6OjoiMjNS63wwZSdTixYsBAC4uLggJCUGFChV0bpu3iKH8jLeIIX3gLWKoMND41F52+ZahFuMEgFatWsnb6lYr3717t7ytbhV0TbyfRJUsWRLBwcF6SaKIiIioYNDo1F5wcHCO9ucVHx8fODs7IyIiAiEhIQgNDc32psXz58+Xn3ft2lXnvocPHy4nUc7OzggODkbFihV1bpeIiIgKDo0SKR8fnxztzyvGxsaYOHEihg4dCgDo2bMnDh8+DEdHR4VyY8eOxcWLFwEADRo0gK+vr9L2AgIC0KdPHwDpry27hUi//vprLFq0CEB6EhUSEqK3OVdERERUcBT4daQGDBiAbdu24cCBA7h27RqqVauGAQMGwMvLC9HR0QgMDMTx48cBpF+pt3TpUp36mzBhAhYuXAgg/abL33zzDW7cuIEbN26orOft7Y3SpUvr1DcRERHlLwU+kTIxMcGWLVvQrVs37Ny5ExEREZg2bVqWcqVKlcKGDRtQpUoVnfrLSMqA9HlS48aN06jeypUr0bt3b536JiIiovwlVxKp58+f4+nTp4iPj4eNjQ1cXFyynG7TJxsbG+zYsQP//vsvVq9ejbNnz+L58+ewsbFBuXLl0LFjRwwaNAh2dna5FgMRERF9eDRa/kATDx48wIIFC7B582al94krXbo0/Pz8MGzYMLi7u+ujy0KNyx9QfsblD0gfuPwBFQZ6Wdn8zz//RJUqVTBv3jw8evRI6VIHDx8+xG+//YYqVarIE7WJiIiICjKdT+3NmjULEyZMAJA+Z8jIyAheXl6oUKECihQpgtevXyMsLAzXr19HWloaEhMT8fXXXyMuLg5jx47V+QUQERERGYpOp/ZCQ0NRt25dpKamwtjYGCNGjMCoUaPg4uKSpeyzZ88wd+5c/P7773L5M2fOoEaNGjq9gMKKp/YoP+OpPdIHntqjwkCnEakFCxYgNTUVkiRh7dq18Pf3z7ZsyZIl8euvv6J27dro2rUr0tLSMH/+fKxcuVKXEIiIqIBiQq4ek838T6c5UsHBwZAkCZ999pnKJCqzLl264IsvvoAQwuAroxMRERHpQqdEKuPGv5999lmO6rVt21ahPhEREVFBpFMiZW9vr/BvbtcjIiIiyk90SqS8vLwAAHfu3MlRvbCwMIX6RERERAWRTolUjx49IITA6tWrkZSUpFGdpKQkBAQEQJIkfPXVV7p0T0RERGRQOiVSvXv3RpMmTXD79m10794db968UVn+7du36NGjB+7cuYOmTZvy3nNERERUoOmUSEmShH///RcdO3bEli1bULlyZcyZMwcXLlxAQkIChBBISEjAxYsX8euvv6Jy5crYsmULOnfujO3bt+vpJRAREREZhkYLchobG6ttKKMZSZI0LiNJElJSUjQK9EPDBTkpP+P6P0R5g+tI5X8aLciZk8XPNSmrp/skExERERmURolU48aNVY40EREREX2INEqkQkJCcjkMIiIiooJHp8nmRERERB8yJlJEREREWmIiRURERKQlJlJEREREWtJosrkmEhMT8e+//+L06dN4/Pgx4uLikJqaqrKOJEk4dOiQvkIgIiIiylN6SaSWLFmCH3/8EbGxsRrXEUJwSQUiIiIq0HROpKZPn45JkyZptMhmRuLEBTmJiIioMNBpjtTNmzcxadIkAEDFihVx6NAh+cbFkiRh+/btSEhIwJUrVzB79myULFkSANCnTx+8fftW7ak/IiIiovxMpxGpJUuWQAgBKysr7N+/H6VLl85SxsrKClWqVEGVKlUwYMAAtGvXDgEBAXj9+jXWr1+vS/dEREREBqXTiNSRI0cgSRL8/PyUJlHvs7e3x/bt21GsWDFs2rQJQUFBunRPREREZFA6JVIPHz4EAHzyySdKjyclJWXZV7RoUfTq1QtCCKxZs0aX7omIiIgMSqdEKj4+HgBQokQJhf2WlpYKx99Xo0YNAMC5c+d06Z6IiIjIoHRKpIoUKQIg68iTnZ0dgP+NWL0vJSUFABAZGalL90REREQGpVMi5eHhASBrQuTp6QkhBE6cOKG03qVLlwAAZmZmunRPREREZFA6JVLVqlWDEAJXrlxR2N+4cWMAQHBwMM6fP69w7N69e/j7778hSRIqV66sS/dEREREBqVTItWkSRMAwOHDhxX29+zZEyYmJkhLS8Onn36K77//HsuWLcP333+PWrVqISEhAQDQtWtXXbonIiIiMihJ6LDM+MuXL+Hs7Iy0tDQcO3YM9evXl49NnjwZU6dOVXobGCEEatasiRMnTvD0Xjbi4uJgZ2eH2NhY2NraGjocIgVfLDF0BEQfhqDBho6A1NFpQc7ixYvj9u3bSEpKgqOjo8KxyZMno0iRIpg2bZo8AgWkr3jepUsXLFmyhEkUERERFWg6jUhp4t27dzh16hQiIiJQpEgR1KpVS75VDGWPI1KUn3FEiihvcEQq/9P5psXqmJuby3OpiIiIiAoTnSabExEREX3Icm1EKiYmBvHx8bCxsYG9vX1udUNERERkMHobkUpISMDChQvRpEkT2NjYoHjx4vDw8EDx4sVhY2ODpk2bYtGiRQoTz4mIiIgKMr1MNt+xYwcGDhyI58+fA0hf3iBLR/+/DIKjoyP++usvfPbZZ7p2W6hxsjnlZ5xsTpQ3ONk8/9N5RGr16tXo2LEjnj9/DiEEhBCwsbFB9erV0aBBA1SvXh22trbyscjISLRv3x5r1qzRR/xEREREBqNTIhUWFobBgwcjNTUVQgh06NABp06dQmxsLEJDQ3Hs2DGEhoYiJiYGp0+fRqdOnQAAaWlpGDRoEO7evauXF0FERERkCDolUvPmzcPbt28hSRJ++eUXbNmyBXXr1lVatk6dOti0aRPmzJkDIH19qXnz5unSPREREZFB6ZRI7d+/H5IkoXHjxhg9erRGdUaOHAkfHx8IIbBv3z5duiciIiIyKJ0SqSdPngAAOnfunKN6GeUz6hMREREVRDolUtbW1gAAJyenHNXLuC9fRn0iIiKigkinRKp8+fIAgIcPH+ao3qNHjwAAFSpU0KV7IiIiIoPSKZHy9/eHEAL//POP0rWjlBFCYN26dZAkCV27dtWleyIiIiKD0mlBznfv3qFu3bq4cuUKvv76a/z+++9q63z33Xf4448/UL16dZw+fRpmZmbadl+ocUFOys+4ICcR5ReGXrRUpxEpc3Nz7Nq1C3Xr1sWCBQvwySefYPPmzXj16pVCuZiYGGzatAn16tXD/PnzUa9ePezatYtJFBERERVoGt20uGzZsiqPJycnQwiBs2fPwt/fHwBQtGhRFClSBK9fv5YTKyEEJEnCw4cP0aBBA0iSxEU5iYiIqMDSKJG6f/8+JEnKdh6UJEnyvfQyykRHRyM6OjpLOQB4+vSpnFQRERERFVQaJVKlS5dm0kNERET0Ho1HpIiIiIhIkU6TzYmIiIg+ZEykiIiIiLTERIqIiIhISxrNkdLUixcvsGvXLpw+fRrPnj1DfHw8bGxs4OLigrp166Jt27ZwcHDQZ5dEREREBqOXRCoxMRHff/89VqxYgXfv3ikts3TpUpibm6N///6YPXs2LC0t9dE1ERERkcHodIsYIH0UysfHBzdv3tTofnuSJKFy5co4cuQIihcvrkvXhRpvEWM4vP0JEVHBYehbxOg8ItWpUyfcuHEDAGBpaYkvv/wSvr6+qFixIqytrZGQkIDbt29j3759WL9+PRITE3H9+nV06tQJISEhunZPREREZDA6jUht27YNnTp1giRJqF69OrZu3Qp3d/dsyz948ACdO3fG+fPnIUkStm7dinbt2mnbfaHGESnD4YgUEVHBYegRKZ2u2lu/fj0AoESJEjhw4IDKJAoA3N3dsXfvXjg6OgIA/vnnH126JyIiIjIonRKp//77D5IkoW/fvihWrJhGdYoXL45+/fpBCIH//vtPl+6JiIiIDEqnROr58+cAgI8//jhH9apWrapQn4iIiKgg0imRMjMzAwAkJSXlqF5GeVNTU126JyIiIjIonRIpFxcXAMCxY8dyVO/o0aMAAFdXV126JyIiIjIonRKpJk2aQAiBNWvW4NKlSxrVuXjxItauXQtJktCkSRNduiciIiIyKJ0Sqf79+0OSJCQnJ6N58+bYunWryvJbt25FixYtkJSUBEmSMGDAAF26JyIiIjIonRbk9Pb2xuDBg7F48WJER0fDz88PZcuWRYsWLVCxYkUUKVIEr1+/xp07d3DgwAHcvXsXQghIkoTBgwejRo0a+nodRERERHlO55XNFyxYgLi4OKxbtw4AcO/ePSxdulRp2Yy1P7t374758+fr2jURERGRQel0ag8AjIyMsGbNGmzYsAHe3t4QQmT7qFmzJjZt2oTVq1fDyEjnromIiIgMSucRqQx+fn7w8/PDw4cP8d9//+HZs2eIj4+HjY0NSpYsibp166J06dL66o6IiIjI4HRKpFavXg0AcHZ2RsuWLQEApUuXZsJEREREHwSdzq/17t0bffr0wfHjx/UVDxEREVGBoVMiZW1tDQDw8vLSSzBEREREBYlOiVTJkiUBAMnJyXoJhoiIiKgg0SmRatq0KQDg7NmzeglGV0FBQfDz84OHhwcsLCzg6OiI+vXr49dff0VcXFyh6ZOIiIjyB0lkLO6khQsXLqBOnTqwsrLC9evXDXbvvISEBHTv3h1BQUHZlnFzc8PGjRvxySefFIg+4+LiYGdnh9jYWNja2uoSKuXQF0sMHQEREWkqaLBh+9dpRKpGjRqYMWMG4uPj0aJFC1y+fFlfcWksNTUVfn5+ckLj5OSECRMm4J9//sHChQvRoEEDAMCjR4/Qpk0b3Lhxo0D2SURERPmPTiNSGcsfbNiwAXv27IGRkREaNmyIRo0aoVSpUrC0tFTbRs+ePbXtHgCwdOlSDB6cno56eXnh8OHDcHJyUigzevRo/PbbbwCARo0a4ejRo/m+T45IGQ5HpIiICg5Dj0jplEgZGRlBkiT5ecZ99DTuXJKQkpKibfdITU2Fm5sbnj17BgA4f/48vL29lZarVasWLl68CADYt2+fvO5Vfu2TiZThMJEiIio4DJ1I6Xyflsy3gHn/uSYPXRw9elROaHx8fJQmNABgbGyMESNGyM8DAwMLVJ9ERESUP+m0svnKlSv1FYdW9uzZI2+3adNGZdnWrVsrrVcQ+iQiIqL8SadEqlevXvqKQytXrlyRt2vXrq2yrLOzM9zc3PDo0SNERkYiKioKJUqUKBB9EhERUf6k86k9Q7p165a8XaZMGbXlM5fJXDe/90lERET5k9YjUk+ePMHly5cRGxsLOzs7VK1aFaVKldJnbGrFxMTI2w4ODmrLFy9eXGnd/NDnu3fv8O7dO/l5bGwsAHBRTwNIfmPoCIiISFO5+WfSxsZG7UV0OU6kzpw5g++++w6nT5/OcuyTTz7BvHnzUKdOnZw2q5WEhAR528LCQm35zMsxxMfH56s+Z82ahSlTpmTZ7+bmlsMIiYiIPhx2I3OvbU2unM9RIrV//360b98e7969U3rF3alTp+Dj44Pt27fD19c3Z9F+4MaNG4eRI//3bUhLS0N0dDSKFy+eoyUlCpq4uDh5HhmXeSBt8XtE+sDvEb3PxsZGbRmNE6n4+Hj06tULb9++lfeVL18ejo6OeP78OcLCwgCkn6Lq1asXbt++netfRGtra7x69QoA8PbtW1hbW6ss/+bN/87ZaPLm5GWf5ubmMDc3V9hnb2+vVYwFka2tLX9xkc74PSJ94PeIckLjyeZr1qxBZGQkJElCrVq1cO3aNdy+fRvHjx/H7du3cf36dfmUXlRUFNasWZNrQWfInGi8ePFCbfmXL18qrZvf+yQiIqL8SeNEKmMdJAcHB+zbtw+VK1dWOF6pUiXs2bMHjo6OCuVzk6enp7wdHh6utnzmMpnr5vc+iYiIKH/SOJG6fPkyJElCz549UbRoUaVlihYtip49e0IIobDeUm6pWrWqvH327FmVZSMjI/Ho0SMAgKOjo9brORmiz8LM3NwckyZNynJakygn+D0ifeD3iLShcSIVHR0NAKhevbrKctWqVQOgeEort7Rq1UreVjcCtnv3bnlb3Yrk+a3Pwszc3ByTJ0/mLy7SCb9HpA/8HpE2NE6kXr9+DUD9JO2MydeZJ1nnFh8fHzg7OwMAQkJCEBoaqrRcamoq5s+fLz/v2rVrgeqTiIiI8qcCvbK5sbExJk6cKD/v2bMnnj9/nqXc2LFjcfHiRQBAgwYNsl2aISAgAJIkQZIkNGnSJE/6JCIiooJLp3vt5QcDBgzAtm3bcODAAVy7dg3VqlXDgAED4OXlhejoaAQGBuL48eMA0q+aW7p0aYHsk4iIiPKfHCdS+W1xSBMTE2zZsgXdunXDzp07ERERgWnTpmUpV6pUKWzYsAFVqlQpkH0SERFR/pPjU3vt27eHsbFxto+OHTsCAIQQKssZGxvDxEQ/A2I2NjbYsWMHtm/fjo4dO8LNzQ3m5uZwcHBA3bp1MXv2bFy9ehX169fXS3+G6rOwCAoKgp+fHzw8PGBhYQFHR0fUr18fv/76K+8tSCrFx8djy5YtGD58OOrXr48SJUrA1NQUtra2qFSpEnr27Im9e/cqvfMCkSZ69+4tT/GQJAmTJ082dEiUz0lCw984RkZG8miUqiqZR6zUNS1JElJTUzXpngqBhIQEdO/eHUFBQdmWcXNzw8aNG/HJJ5/kYWRUEMydOxfjx49XuLtCdho1aoS1a9eidOnSeRAZFRZ79uzJcoX1pEmTmEyRSjkaEtIk5+L/BEmZ1NRU+Pn5Ye/evQAAJyenLPPKTpw4gUePHqFNmzY4ceJElkVf6cN2+/ZtOYlydXVF8+bNUbNmTTg6OuLt27c4ffo01q5di4SEBBw7dgxNmjTB6dOn5UWCiVSJi4vDoEGDAABFihSRr1QnUksQ5YElS5YIAAKA8PLyEhEREVnKjBo1Si7TqFEjA0RJ+dngwYNFy5Ytxf79+0VqaqrSMvfv3xeenp7y96hPnz55HCUVVAMHDhQAhJubmxg5cqT8HZo0aZKhQ6N8TuNTe0TaSk1NhZubG549ewYAOH/+PLy9vZWWq1WrlrxsxL59+9CyZcu8DJXysejoaBQrVkxtuUuXLskLB1tZWSEqKgpWVla5HB0VZIcPH0bz5s0hhMCOHTtw7tw5TJkyBQBP7ZF6BXodKSoYjh49KidRPj4+SpMoIH2NrhEjRsjPAwMD8yQ+Khg0SaKA9LsrZNzXMjExEWFhYbkZFhVwiYmJGDBgAIQQ8Pf3x2effWbokKiAYSJFuS7zrXTU3SqndevWSusR5YStra28nRd3WaCCa9y4cbh37x6KFSuGP/74w9DhUAHERIpyXeYbWNeuXVtlWWdnZ7i5uQFIv+lzVFRUrsZGhU9SUhJu374tP3d3dzdgNJSfnTx5EgsXLgQAzJkzB05OTgaOiAoiJlKU627duiVvlylTRm35zGUy1yXSxD///IPY2FgAgLe3t3xvTKLM3r59i759+yItLQ3NmjVDnz59DB0SFVBMpCjXxcTEyNsODg5qyxcvXlxpXSJ1oqKi8MMPP8jPJ0yYYMBoKD+bOHEibt26BUtLS97Gi3TCRIpyXUJCgrxtYWGhtrylpaW8HR8fnysxUeGTlJSETp06yTcRb9++PTp06GDgqCg/Onv2LObOnQsAmDJlCsqVK2fgiKggYyJFRAVeWloa+vbti2PHjgEAypUrhxUrVhg4KsqPkpKS0LdvX6SmpsLb2xsjR440dEhUwDGRolxnbW0tb2tye4/MV1nZ2NjkSkxUeAghMHjwYKxbtw4AULp0aRw8eBBFixY1cGSUH02fPh1Xr16FsbEx/vrrLxgbGxs6JCrgmEhRrrO3t5e3X7x4obb8y5cvldYlep8QAkOHDsVff/0FAChVqhQOHz4MDw8PwwZG+dKlS5fw888/AwBGjhyZ7Zp2RDmRo3vtEWnD09MT4eHhAIDw8HC1f+QyymbUJVJGCIFhw4ZhyZIlANLvvxccHMz5LpStgIAAJCcnw8jICKamppg+fbrSckePHlXYzijn6ekJPz+/PImVCg4mUpTrqlatKt+s+OzZs2jatGm2ZSMjI/Ho0SMAgKOjI0qUKJEnMVLBkpFELV68GADg4uKC4OBglC9f3sCRUX6WcUe0tLQ0zJw5U6M6wcHBCA4OBgC0a9eOiRRlwVN7lOtatWolb6tbrXz37t3ytrpV0OnD9H4SVbJkSQQHB6NChQoGjoyIPkRMpCjX+fj4yIsihoSEIDQ0VGm51NRUzJ8/X37etWvXPImPCpbhw4fLSZSzszOCg4NRsWJFA0dFBcHvv/8OIYTax6RJk+Q6kyZNkvdv377dcMFTvsVEinKdsbExJk6cKD/v2bOnvNZPZmPHjsXFixcBAA0aNICvr29ehUgFxNdff41FixYBSE+iQkJCOI+OiAyKc6QoTwwYMADbtm3DgQMHcO3aNVSrVg0DBgyAl5cXoqOjERgYiOPHjwNIv1KPKw3T+yZMmCDfF02SJHzzzTe4ceMGbty4obKet7c3SpcunRchEtEHiIkU5QkTExNs2bIF3bp1w86dOxEREYFp06ZlKVeqVCls2LABVapUMUCUlJ9lJNpA+jypcePGaVRv5cqV6N27dy5FRUQfOp7aozxjY2ODHTt2YPv27ejYsSPc3Nxgbm4OBwcH1K1bF7Nnz8bVq1dRv359Q4dKRESkEUlkXA9KRERERDnCESkiIiIiLTGRIiIiItISEykiIiIiLTGRIiIiItISEykiIiIiLTGRIiIiItISEykiIiIiLTGRIiIiItISEykiIiIiLTGRIiIiItISEykiIiIiLTGRIiIFkydPhiRJkCQJISEhhg6nQHr79i1++eUX1KtXD0WLFoWxsbH8nt6/f9/Q4RGRHjGRog9Sxh+1jMfevXvV1rl//75cvmHDhnkQJRVEb968QePGjfHDDz/g9OnTiImJQVpamqHDIqJcYmLoAIjyg3HjxsHX1xeSJBk6FCrglixZgrNnzwIAvLy8MGjQILi6usLY2BgA4OjoaMjwiEjPmEgRAbh48SICAwPRrVs3Q4dCBdyuXbsApI967tu3D6VKlTJwRESUm3hqjz5oFhYWMDJK/zH46aefkJycbOCIqKB79OgRgPSRJyZRRIUfEyn6oBUvXhxfffUVAODevXtYunSpgSOigu7du3cA0pN0Iir8mEjRB2/q1KkwNzcHAEybNg0JCQlat9W7d2+Nr84KCAiQywYEBGQ5nnlye+/evQEAERERGD9+PD766CPY2trCwcEBjRo1wsaNGyGEUKh/9epVDBgwAJ6enrCyskLx4sXRtm1bra7EO3z4MLp06QJ3d3dYWFjAyckJbdu2xZYtWzRuIzU1FevWrYOfnx88PDxQpEgRWFtbw9PTEwMGDMC5c+dU1lf2foWGhmLw4MGoWLEibGxssn0vNRUTE4Off/4ZjRo1gpOTE8zMzODo6IiGDRti1qxZiImJUVov85WODx48AAA8ePAgy0UN2sZ27Ngx9O3bF5UrV4aNjQ1MTU3h6OgILy8vtGrVCtOmTcPt27cV6tSuXRuSJMHY2FgeJVNFCIFy5cpBkiRYWlri1atX8jFl38WYmBjMnDkT3t7esLe3R5EiReDl5YUxY8bg+fPnavu7ffs25s6diw4dOqBChQqwtraW3+/GjRtj+vTpePHihdp2MuJq0qQJAODVq1eYMWMGvL29UaxYMYW4IiIi1LYXERGBKVOmoEGDBnBwcICpqSns7OxQrlw51KtXD0OHDsXu3bvVXkBw8eJFfPPNN6hWrRqKFSsGc3NzuLi4oG3btlixYgVSUlLUxqLN504GIIg+QAAEAOHq6iqEEOK7776T902ZMkVpnfDwcLlMgwYNlJbp1auXXCY8PFxlDCtXrpTLrly5UmV/vXr1EsePHxeOjo7yvvcfAwcOFGlpaUIIIZYuXSpMTEyyLbt48eJs45o0aZJcLjg4WIwcOTLbdgCI9u3bi7dv36p8rVeuXBGVKlVS2Q4AMXz4cJGSkqLR+zV79mxhbGycpQ1l76Umdu3aJYoVK6YyvmLFioldu3apfM9UPXIaW2pqqhg0aJBGbbdt21ah7vLly+VjEydOVNvXvn375PI9e/ZUOPb+d/H8+fOidOnS2cbi5OQkrly5km1fq1at0ug12draip07d6qMO6Osj4+PuHLlinB3d8+2PXt7e7F3795s29q9e7ewsbHRKLaoqCilbbx9+1b07dtXSJKksn6VKlXE3bt3lbahy+dOeY+TzYkAjB8/HsuXL0dcXBzmzJmDIUOGoESJEoYOS/bw4UO0b98esbGx6N27N3x8fGBhYYGzZ89i8eLFePPmDZYtW4Z69erB1tYWgwYNgoODA/r27Ytq1aohJSUFu3btwsaNGwEAI0aMQJMmTVCpUiWV/S5YsABbt26FnZ0d+vbti5o1ayI1NRUnTpzAqlWr8O7dO2zfvh3dunXLdnTqwoUL8PHxQXx8PACgUaNGaNu2Ldzd3ZGWlobLly8jICAAkZGRWLhwIZKSktSeYt24cSP27NkDa2tr9OzZE3Xq1IGpqSmuX78OZ2fnHL+/+/btQ7t27eRRgrp166Jr165wcXHBs2fPsH79epw+fRrR0dFo164ddu7cCV9fX7l+165dUb16dQDAwIEDERUVhRIlSmDZsmUK/Xh7e+coroULF8rvhY2NDTp37oyaNWuiRIkSSEpKwuPHj3Hu3DkcPHgwS92uXbti1KhRiImJwYoVKzBx4kT5ykFlMr/ngwYNyrbco0eP0KZNG0RFRaFTp05o0aIFihUrhvv372PZsmUICwtDZGQk/P39cfHiRZiammZpIzExEZIkoVq1amjcuDEqVaqEYsWKAQAeP36MgwcPYu/evYiLi0OnTp1w8uRJte9dbGws2rVrhwcPHqBx48bo3LkznJyc8PDhQ6xbtw4XL15ETEwM2rdvj6NHj6J27doK9Z8+fYouXbrII9I+Pj5o27YtnJ2dYW5ujhcvXuDq1as4dOhQtqNAKSkpaNWqlTzq6+Ligq5du+Ljjz+GlZUVHj9+jK1bt+L48eO4du0aGjdujAsXLmT5XaPL504GYOhMjsgQ8N6IlBBCTJ8+Xd4/YsSILHUMOSKF/x8NOXfuXJZywcHB8v9+PTw8RPHixUXt2rXFy5cvs5SdOHGi3N7QoUOVxvX+6EqFChXEo0ePspS7cuWKKFGihFwuMDAwS5nXr1+LsmXLCgDCyspKBAUFKe0zJiZGNG3aVG7rwIEDWcpkfr8AiIoVK4oHDx4obS8n4uPjhZOTk9zu5MmT5ZG9DGlpaQrvnZOTk4iLi1PaXsaIiLu7u86xValSRQAQRYsWFffv38+23Js3b8Tp06ez7P/mm2/kmLN774UQ4tmzZ/II5kcffZTl+PvfRRsbG3HkyJEs5eLj40X16tXlclu2bFHa39WrV8WdO3eyjUcIIQ4cOCCsrKwEANGsWbNsy2WOC4CYPXt2ljIpKSli+PDhchkvLy+RmpqqUObXX3+Vj8+fP19lbKdPnxZv3rzJsn/s2LFyGwMGDFBaRggh/vjjD7lc9+7dsxzX9XOnvMVEij5IyhKphIQE4ezsLAAIMzOzLImQoROpdevWZdtW8+bN5XLm5ubZ/vJNTEwU1tbWAoAoW7as0jKZEykjIyNx4cKFbPv9999/5bI1atTIcjzzH4w1a9Zk244QQrx48ULY2toKAKJVq1ZZjmd+vyRJEqGhoSrb09T8+fPldtu0aaOybKtWreSyv//+u9Iy+kykzM3NBQDh5+enVf2bN2/K8X722WfZlpsxY4ZcbsGCBVmOv/9dXLFiRbZt7dmzRy7Xv39/reLOMGHCBLmtx48fKy2TOa6OHTtm21ZqaqqoVauWXPbff/9VOJ75VNrr169zHGtkZKSwsLAQAETz5s3Vlu/WrZsAIIyNjbO8Nl0/d8pbnGxO9P+KFCmCiRMnAgCSkpLw008/GTii/3F0dIS/v3+2xzOvtP7555/D3d1daTlLS0vUqlULABAeHo63b9+q7Ldly5byKStlvvjiC3h6egJIP4V37949heOrVq0CALi6uqpdoytjMjwAhISEyFe/KdOwYUPUqFFDZXua2rp1q7z9ww8/qCz7448/Kq2XW4oUKQIAuHLlCpKSknJc39PTE59++ikAYM+ePUonnQsh8PfffwMArKys5KtYs+Pg4KCyTNOmTWFikj5r5OrVqzmOObPM3+vTp0+rLf/9999ne8zIyAijRo2Sn2/evFnheMZ7DQDnz5/PSZgAgA0bNsg/T2PGjFFbvlevXgDSL8I4dOiQ0li0/dwpb3GOFFEm/fv3x9y5cxEWFoZ//vkHY8aMwccff2zosFCrVi2V81syzwuqU6eOyrYyygohEBMTo3JOUfPmzdXG1rx5c9y6dQsAcObMGZQtWxYAEBcXh4sXLwIASpYsiaCgILVtZSRPb9++RXh4eLZzuBo1aqS2LU0IIXDmzBkA6UmEulv/NGjQAEWKFMHr169x9uxZpKWlyeuQ5YaWLVti/fr1uHnzJpo1a4aRI0fC19cXVlZWGrcxZMgQHD58GKmpqVi+fDkmT56scHz//v0IDw8HAPj7+8POzk5le7Vr15YTJWXMzc3h4OCAiIgIhSv/lDl+/DgCAwNx5swZ3Lt3D/Hx8dmu5fb48WOVbdna2qr97mf+Pmd87hlatmyJuXPnAgA6duyIH374AX5+ftn+p+R9R48elbcjIyOxfft2leWfPHkib1+/fj1LLLp+7pR3mEgRZWJqaorp06eja9euSEtLw7hx4+SVqg2pePHiKo9nLN+Q07LqRqQqVKigNrbMZZ4+fSpvP3r0SL5E/Ny5c+jQoYPatjKLjo7O9pi+FrqMi4tDYmIiAKBcuXJqkyIjIyOUL18ely5dwps3bxATEyNPks4Ns2fPxvHjx/H48WMcP34cx48fh6mpKby9vVG/fn00adIELVu2VLlmVfv27eHi4oKnT59ixYoV+OmnnxSS8swT4lVNMs/g4OCgtkzGdyy771dCQgJ69OiBf//9V21bGeLi4lQez1i6QRUHBwfY29sjJiZG4bsKAL6+vujZsydWr16NFy9eYMyYMRgzZgzKlCmDevXqoXHjxmjTpg3c3NyUtp15uZOePXtq9qL+3/vfdX187pR3eGqP6D1dunSRrxDavXu3wv80DSUnox76HCHJfLpDkzIZV+YByHbNJU2pOqVhaWmpU9sZMseryWsFAGtra6X1c0Pp0qVx4cIFfPvtt3LClpycjP/++w/z5s1Du3bt4OTkhIkTJ2Z7KtTExAT9+/cHkJ7c7tmzRz4WEREhjxRWq1YNdevWVRuTPr5f/v7+chJVpEgRdOnSBbNmzcKqVauwadMmbNu2Ddu2bcO0adPkOqmpqSrb1PTzyyinbL24gIAABAQEKIxCh4eH459//sHgwYPh7u6Otm3byiOwmenyfX//u66Pz53yDhMpovdIkoSff/5Zfj527Nhc6UfdH4b84PXr1zkqY2NjI29nTjg6duwIkX5xi8aPjAUWc1PmeDV5rYDiH+DM9XOLg4MD5s2bh8jISPkPqZ+fn/wHNi4uDtOmTUObNm2yXSRy4MCB8ihU5hGozAtDajIapQ8nTpzA7t27AQBVq1ZFWFgYNmzYgLFjx6Jnz57o3Lkz2rdvj/bt2+doHpymn19GuczfzwySJKFXr164dOkS7t+/j7Vr12LYsGGoUqUKgPRTwbt370bt2rVx5coVhbqZ24uLi8vRd13ZQq36+NwpbzCRIlKiRYsW8nyKU6dOYdu2bRrVy3zaTN0kUU1WbTa0sLCwHJVxcXGRt11dXeVtTVbWNgRbW1t5hOLevXtq/yClpaXh7t27ANJHxezt7XM7RJmJiQnq1KmDb7/9Fhs3bsTz58+xadMmeU7T4cOHs/2eurq64osvvgCQPsr6+PFjCCHw119/AUgfpenevXuevI79+/fL2zNnzlQ5Ry9j7pYm7t69m2V1//e9fPlSHjnK/F1Vxt3dHd27d8fChQtx9epVXL9+HT4+PgDSRyIzX3gAKJ5u1uf3XZfPnfIGEymibPz888/ynIvx48drNIJUtGhReTvzZFJlTp48qVuAeeDAgQNqy2ReFDDzqSEHBwf5f/KhoaGIjIzUf4A6kiRJXpjx9evXOHHihMryJ06ckEekateunasTzdUxNjZG586dFSaPHzt2LNvyQ4YMAQB50vn+/fvleT1ffvklbG1tczNcWebbtJQvX15l2cynIdWJi4vLMoH8fdl9VzVRuXJlbNmyRf7M33+vM5IsIGdx51ROP3fKfUykiLJRs2ZN+Pn5AQBu3Lih0X3SMhIHACpXHb5165Z8eiM/O3DgAC5fvpzt8V27duHmzZsA0lftLlOmjMLxzJd4Zywtkd906tRJ3p49e7bKsplP+WauZ0iZ33NV929r3ry5fGHA8uXLsXjxYvlYXp3WAxTnMqka8Tx16lSOE5I5c+ZkeywtLU2+Kg8AOnfunKO2gfQLOTISzvff665du8oj0nPnzs31EWdNP3fKfUykiFSYPn26fKn3vHnz1JZv0aKFXP7PP/9U+ofiyZMn6NSpU4H45ZeamoouXbpkucIJSL9ku1+/fvJzZWv4DBs2DB4eHgDS5+b88MMP2V7eDqSfDt24cSP+/PNP3YPXUO/eveHk5AQgPTHMPME5s2nTpsnJr5OTE/r06ZOrcT179gyjRo2STyUqk5KSIp+eA6ByzS9JkjB48GAA6aeeMiZ7e3t7y2uL5YXMt2aZMmWK0iv7Ll++jM6dO6s9Vfe+zZs3KyRLGdLS0jBy5Eh5xKpKlSrymmWZY9m3b5/K07uBgYHyqcH33+tSpUphxIgRANKvXvX19c2yrtr7Ll26lCWJ1ffnTrmPyx8QqVChQgX0798fS5Ys0Wgyq7OzM3r27IkVK1YgNjYWderUwZAhQ/Dxxx/j3bt3OHv2LFatWoXExET4+/tjw4YNefAqtNepUyds2bIFVapUQb9+/eDt7Y3U1FScPHkSAQEB8h/Bjh07Kl0w1MrKCkFBQWjcuDFiYmLwyy+/YO3atejcuTOqVasGW1tbJCYm4tGjRwgNDcXBgwcRFxenkKDlNmtra6xatQpt27aVR8727NkDf39/lCxZEhEREVi/fj1OnToFIH3OyqpVq3J9ovm7d+8wd+5czJ07FzVr1kSjRo1QuXJlFC1aFAkJCbh37x4CAwPlP7hly5ZF165dVbbZu3dvjB8/XiF5ycvRKCD9u1K6dGk8fPgQ586dg6enJ/r374/y5csjMTERR44cwfr165GcnIxevXrJi7qqU716dcTFxWHUqFEICgpC586d4ejoiEePHmHdunW4cOECgPR5jCtXrsxyWjY4OBiTJ0+Go6MjfH19Ub16dTg7O8PIyAjPnj3Dvn37FE51vz9HCkif83Xp0iXs378foaGhqFSpEr744gs0atQIJUuWRFpamnzPvuDgYNy+fRvGxsYK9znMjc+dclleLJ9OlN9AyS1isvP06VP5nl8Zj+xuESNE+n3j6tatm+UeYBkPS0tLsXr16hzdIqZXr14qY1TXVmbqbmOT+RYxwcHBYtSoUdm+FgCiXbt22d5TLENYWJjK9yTzQ5IkMXHiRJ1eozZ27twpihYtqjK2okWLip07d6psR1+3iLl//75G7xeQfn+8sLAwjdrN/Pnb2NiI+Ph4tXVy8l0UQv17cO7cOeHg4JDt6zE2NhY///yzCA4OlvdNmjRJaVsZx318fMSVK1eEh4dHtu3a2dmJvXv3Km2nSZMmGr3XRYoUUXmLnKSkJDFq1Cj53oXqHu+/R7n1uVPu4YgUkRolS5bEt99+i5kzZ2pU3s7ODkeOHMGSJUsQGBiIGzduICkpCa6urvD19cWIESPg6emp0Zyr/GDOnDlo3bo1li5ditOnTyMyMhJ2dnaoWbMm+vXrp9Fck3LlyuH06dPYv38/Nm3ahJMnT+Lp06eIj4+HlZUVXF1d4eXlBR8fH3z++edZ5lrlhbZt2+LevXtYvHgxdu3ahVu3biEmJgb29vaoWLEi2rZti6FDh+bZlXru7u64e/cu9u3bh5MnT+Ly5ct4+PAh4uPjYWZmBmdnZ9SoUQOdOnVCly5dVK42nlnLli3lUZ5u3bopXQYgt9WsWROXL1/Gb7/9hp07d+LBgwcwMTGBi4sLmjZtioEDB8Lb2xshISE5avejjz7ChQsXsHDhQmzduhXh4eF49+4dSpcujc8++wyjRo1CyZIlldbdsWMHDh48iCNHjiA0NBRhYWF48eIFhBCwt7dHpUqV0Lx5c/Tv31/lFX+mpqaYM2cOvv76a6xYsQLBwcG4c+cOoqOjYWRkhOLFi6NixYqoW7cufH190bhxY4X6ufW5U+6RhMjhSWgiIiqw2rdvL8+PCg0N1ds9Cw0l48paHx+fHCdeRPrAyeZERB+IR48eYefOnQDSL/8v6EkUUX7ARIqI6AMxefJkeT20b7/91rDBEBUSPLlKRFRIhYWFISwsDPHx8di5cydWr14NIP3WLF26dDFwdESFAxMpIqJCau3atZgyZYrCPisrK6WX/xORdviTRERUyEmSBFdXV3Tu3Blnz55FzZo1DR0SUaHBq/aIiIiItMQRKSIiIiItMZEiIiIi0hITKSIiIiItMZEiIiIi0hITKSIiIiItMZEiIiIi0hITKSIiIiItMZEiIiIi0tL/AUHQ8vyunkmpAAAAAElFTkSuQmCC\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_iSPN_np2_dd/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_iSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np3_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 31/125 (150 neurons)\n", - "Processing hyper voxel : 36/125 (148 neurons)\n", - "Processing hyper voxel : 32/125 (146 neurons)\n", - "Processing hyper voxel : 37/125 (139 neurons)\n", - "Processing hyper voxel : 56/125 (124 neurons)\n", - "Processing hyper voxel : 61/125 (108 neurons)\n", - "Processing hyper voxel : 57/125 (87 neurons)\n", - "Processing hyper voxel : 6/125 (87 neurons)\n", - "Processing hyper voxel : 11/125 (74 neurons)\n", - "Processing hyper voxel : 62/125 (71 neurons)\n", - "Processing hyper voxel : 7/125 (64 neurons)\n", - "Processing hyper voxel : 30/125 (60 neurons)\n", - "Processing hyper voxel : 35/125 (56 neurons)\n", - "Processing hyper voxel : 26/125 (43 neurons)\n", - "Processing hyper voxel : 12/125 (40 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 55/125 (26 neurons)\n", - "Processing hyper voxel : 60/125 (21 neurons)\n", - "Processing hyper voxel : 41/125 (19 neurons)\n", - "Processing hyper voxel : 5/125 (17 neurons)\n", - "Processing hyper voxel : 51/125 (13 neurons)\n", - "Processing hyper voxel : 1/125 (10 neurons)\n", - "Processing hyper voxel : 10/125 (9 neurons)\n", - "Processing hyper voxel : 42/125 (8 neurons)\n", - "Processing hyper voxel : 2/125 (7 neurons)\n", - "Processing hyper voxel : 33/125 (7 neurons)\n", - "Processing hyper voxel : 66/125 (7 neurons)\n", - "Processing hyper voxel : 81/125 (7 neurons)\n", - "Processing hyper voxel : 52/125 (5 neurons)\n", - "Processing hyper voxel : 17/125 (5 neurons)\n", - "Processing hyper voxel : 25/125 (3 neurons)\n", - "Processing hyper voxel : 38/125 (3 neurons)\n", - "Processing hyper voxel : 16/125 (3 neurons)\n", - "Processing hyper voxel : 40/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 80/125 (2 neurons)\n", - "Processing hyper voxel : 63/125 (2 neurons)\n", - "Processing hyper voxel : 86/125 (2 neurons)\n", - "Processing hyper voxel : 13/125 (2 neurons)\n", - "Processing hyper voxel : 8/125 (2 neurons)\n", - "Processing hyper voxel : 58/125 (2 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 28/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 72238 out of total 72238 synapses\n", - "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 1.1110217962064475\n", - "Worker iter: 100, fitness 1.1110217962064475\n", - "Worker iter: 100, fitness 1.0690757020122899\n", - "Worker iter: 100, fitness 1.1110217962064475Worker iter: 100, fitness 1.1110217962064475\n", - "\n", - "Worker iter: 100, fitness 1.053571770662644\n", - "Worker iter: 100, fitness 1.0838357793424747\n", - "Worker iter: 100, fitness 1.1065256302446165\n", - "Worker iter: 200, fitness 1.0404188113890105\n", - "Worker iter: 200, fitness 1.040881979814432\n", - "Worker iter: 200, fitness 1.0345488346647618\n", - "Worker iter: 200, fitness 1.0399343107698447\n", - "Worker iter: 200, fitness 1.076987044798363\n", - "Worker iter: 200, fitness 1.0781246333310484\n", - "\n", - "Worker iter: 200, fitness 1.0708968251845852Worker iter: 200, fitness 1.0474162445003503\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Duration: 116.71180542901857 s\n", - "f1 = 0.1353, mu2 = 2.4593, a3 = 0.5509 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 1.0131725334397124\n", - " message: 'Optimization terminated successfully.'\n", - " nfev: 2464\n", - " nit: 81\n", - " success: True\n", - " x: array([0.13529854, 2.45929263, 0.5508829 ])\n", - "Assuming volume type: cube [cube or full]\n", - "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_iSPN_np3_dd/figures\n", - "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0008731690177228302 seconds\n", - "Created connection matrix 0.0014123380242381245 seconds\n", - "Created gap junction connection matrix 0.0003438349813222885 seconds\n", - "Creating population dictionary\n", - "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", - "Calculating synapse distance histogram\n", - "Creating dist histogram\n", - "n_synapses = 555, at 0\n", - "Created distance histogram (optimised) in 0.0008840450027491897 seconds\n", - "Saving cache to networks/dSPN_to_iSPN_np3_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to iSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", - "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.051086956521739134\n", - "P(d<0.0001) = 0.04042715484363082\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_iSPN_np3_dd/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", - "Plotting number of connections\n", - "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", - "Calculating max synapses\n", - "Calculating mean synapses\n", - "Plotting 185 connections\n" - ] - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Wrote networks/dSPN_to_iSPN_np3_dd/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_iSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np4_dd/network-config.json\n", - "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 31/125 (150 neurons)\n", - "Processing hyper voxel : 36/125 (148 neurons)\n", - "Processing hyper voxel : 32/125 (146 neurons)\n", - "Processing hyper voxel : 37/125 (139 neurons)\n", - "Processing hyper voxel : 56/125 (124 neurons)\n", - "Processing hyper voxel : 61/125 (108 neurons)\n", - "Processing hyper voxel : 57/125 (87 neurons)\n", - "Processing hyper voxel : 6/125 (87 neurons)\n", - "Processing hyper voxel : 11/125 (74 neurons)\n", - "Processing hyper voxel : 62/125 (71 neurons)\n", - "Processing hyper voxel : 7/125 (64 neurons)\n", - "Processing hyper voxel : 30/125 (60 neurons)\n", - "Processing hyper voxel : 35/125 (56 neurons)\n", - "Processing hyper voxel : 26/125 (43 neurons)\n", - "Processing hyper voxel : 12/125 (40 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 55/125 (26 neurons)\n", - "Processing hyper voxel : 60/125 (21 neurons)\n", - "Processing hyper voxel : 41/125 (19 neurons)\n", - "Processing hyper voxel : 5/125 (17 neurons)\n", - "Processing hyper voxel : 51/125 (13 neurons)\n", - "Processing hyper voxel : 1/125 (10 neurons)\n", - "Processing hyper voxel : 10/125 (9 neurons)\n", - "Processing hyper voxel : 42/125 (8 neurons)\n", - "Processing hyper voxel : 2/125 (7 neurons)\n", - "Processing hyper voxel : 33/125 (7 neurons)\n", - "Processing hyper voxel : 66/125 (7 neurons)\n", - "Processing hyper voxel : 81/125 (7 neurons)\n", - "Processing hyper voxel : 52/125 (5 neurons)\n", - "Processing hyper voxel : 17/125 (5 neurons)\n", - "Processing hyper voxel : 25/125 (3 neurons)\n", - "Processing hyper voxel : 38/125 (3 neurons)\n", - "Processing hyper voxel : 16/125 (3 neurons)\n", - "Processing hyper voxel : 40/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 80/125 (2 neurons)\n", - "Processing hyper voxel : 63/125 (2 neurons)\n", - "Processing hyper voxel : 86/125 (2 neurons)\n", - "Processing hyper voxel : 13/125 (2 neurons)\n", - "Processing hyper voxel : 8/125 (2 neurons)\n", - "Processing hyper voxel : 58/125 (2 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 28/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 72238 out of total 72238 synapses\n", - "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124Worker iter: 500, fitness 1.0131725334397124\n", - "\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 600, fitness 1.0131725334397124\n", - "Worker iter: 600, fitness 1.0131725334397124\n", - "Worker iter: 600, fitness 1.0131725334397124\n", - "Worker iter: 600, fitness 1.0131725334397124\n", - "Worker iter: 600, fitness 1.0131725334397124\n", - "Worker iter: 600, fitness 1.0131725334397124\n", - "Worker iter: 600, fitness 1.0131725334397124\n", - "Worker iter: 600, fitness 1.0131725334397124\n", - "Worker iter: 700, fitness 1.0131725334397124\n", - "Worker iter: 700, fitness 1.0131725334397124\n", - "Worker iter: 700, fitness 1.0131725334397124\n", - "Worker iter: 700, fitness 1.0131725334397124\n", - "Worker iter: 700, fitness 1.0131725334397124\n", - "Worker iter: 700, fitness 1.0131725334397124\n", - "Worker iter: 700, fitness 1.0131725334397124\n", - "Worker iter: 700, fitness 1.0131725334397124\n", - "Worker iter: 800, fitness 1.0131725334397124\n", - "Worker iter: 800, fitness 1.0131725334397124\n", - "Worker iter: 800, fitness 1.0131725334397124Worker iter: 800, fitness 1.0131725334397124\n", - "\n", - "Worker iter: 800, fitness 1.0131725334397124\n", - "Worker iter: 800, fitness 1.0131725334397124\n", - "Worker iter: 800, fitness 1.0131725334397124\n", - "Worker iter: 800, fitness 1.0131725334397124\n", - "Worker iter: 900, fitness 1.0131725334397124\n", - "Worker iter: 900, fitness 1.0131725334397124\n", - "Duration: 321.92102947999956 s\n", - "f1 = 0.3279, softMax = 3.1348, mu2 = 2.0677, a3 = 0.1293 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 1.0361255416946666\n", + "Processing hyper voxel : 50/216 (139 neurons)\n", + "Processing hyper voxel : 44/216 (131 neurons)\n", + "Processing hyper voxel : 86/216 (111 neurons)\n", + "Processing hyper voxel : 80/216 (101 neurons)\n", + "Processing hyper voxel : 49/216 (93 neurons)\n", + "Processing hyper voxel : 85/216 (85 neurons)\n", + "Processing hyper voxel : 43/216 (82 neurons)\n", + "Processing hyper voxel : 51/216 (72 neurons)\n", + "Processing hyper voxel : 79/216 (66 neurons)\n", + "Processing hyper voxel : 14/216 (58 neurons)\n", + "Processing hyper voxel : 45/216 (58 neurons)\n", + "Processing hyper voxel : 56/216 (53 neurons)\n", + "Processing hyper voxel : 87/216 (53 neurons)\n", + "Processing hyper voxel : 8/216 (45 neurons)\n", + "Processing hyper voxel : 81/216 (44 neurons)\n", + "Processing hyper voxel : 92/216 (34 neurons)\n", + "Processing hyper voxel : 55/216 (32 neurons)\n", + "Processing hyper voxel : 7/216 (31 neurons)\n", + "Processing hyper voxel : 13/216 (30 neurons)\n", + "Processing hyper voxel : 122/216 (24 neurons)\n", + "Processing hyper voxel : 91/216 (24 neurons)\n", + "Processing hyper voxel : 38/216 (22 neurons)\n", + "Processing hyper voxel : 57/216 (19 neurons)\n", + "Processing hyper voxel : 116/216 (18 neurons)\n", + "Processing hyper voxel : 15/216 (18 neurons)\n", + "Processing hyper voxel : 9/216 (16 neurons)\n", + "Processing hyper voxel : 121/216 (15 neurons)\n", + "Processing hyper voxel : 74/216 (15 neurons)\n", + "Processing hyper voxel : 37/216 (15 neurons)\n", + "Processing hyper voxel : 93/216 (14 neurons)\n", + "Processing hyper voxel : 48/216 (12 neurons)\n", + "Processing hyper voxel : 115/216 (12 neurons)\n", + "Processing hyper voxel : 42/216 (12 neurons)\n", + "Processing hyper voxel : 84/216 (11 neurons)\n", + "Processing hyper voxel : 2/216 (10 neurons)\n", + "Processing hyper voxel : 78/216 (10 neurons)\n", + "Processing hyper voxel : 20/216 (9 neurons)\n", + "Processing hyper voxel : 73/216 (9 neurons)\n", + "Processing hyper voxel : 75/216 (9 neurons)\n", + "Processing hyper voxel : 123/216 (8 neurons)\n", + "Processing hyper voxel : 1/216 (6 neurons)\n", + "Processing hyper voxel : 39/216 (6 neurons)\n", + "Processing hyper voxel : 117/216 (6 neurons)\n", + "Processing hyper voxel : 19/216 (4 neurons)\n", + "Processing hyper voxel : 21/216 (3 neurons)\n", + "Processing hyper voxel : 128/216 (3 neurons)\n", + "Processing hyper voxel : 97/216 (2 neurons)\n", + "Processing hyper voxel : 98/216 (2 neurons)\n", + "Processing hyper voxel : 52/216 (2 neurons)\n", + "Processing hyper voxel : 62/216 (2 neurons)\n", + "Processing hyper voxel : 36/216 (2 neurons)\n", + "Processing hyper voxel : 6/216 (2 neurons)\n", + "Processing hyper voxel : 3/216 (2 neurons)\n", + "Processing hyper voxel : 88/216 (2 neurons)\n", + "Processing hyper voxel : 127/216 (1 neurons)\n", + "Processing hyper voxel : 114/216 (1 neurons)\n", + "Processing hyper voxel : 61/216 (1 neurons)\n", + "Processing hyper voxel : 110/216 (1 neurons)\n", + "Processing hyper voxel : 109/216 (1 neurons)\n", + "Processing hyper voxel : 90/216 (1 neurons)\n", + "Processing hyper voxel : 82/216 (1 neurons)\n", + "Processing hyper voxel : 54/216 (1 neurons)\n", + "Processing hyper voxel : 46/216 (1 neurons)\n", + "Processing hyper voxel : 12/216 (1 neurons)\n", + "Processing hyper voxel : 111/216 (1 neurons)\n", + "Processing hyper voxel : 157/216 (1 neurons)\n", + "Read 15460 out of total 15460 synapses\n", + "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", + "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 30.949413946853745\n", + "Worker iter: 100, fitness 30.949413946853745\n", + "Worker iter: 100, fitness 30.949413946853745\n", + "Worker iter: 100, fitness 30.949413946853745\n", + "Worker iter: 100, fitness 30.949413946853745\n", + "Worker iter: 100, fitness 30.949413946853745\n", + "Worker iter: 100, fitness 30.949413946853745\n", + "Worker iter: 100, fitness 30.949413946853745\n", + "Duration: 31.446939125000426 s\n", + "f1 = 0.7373, a3 = 0.9998, (exp(-(0.5*d/60e-6)**2))\n", + " fun: 30.949413946853745\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 6965\n", - " nit: 173\n", + " nfev: 883\n", + " nit: 43\n", " success: True\n", - " x: array([0.32794798, 3.13476127, 2.06772359, 0.12925149])\n", + " x: array([0.73730424, 0.99976724])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_iSPN_np4_dd/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0008159609860740602 seconds\n", - "Created connection matrix 0.0014150469796732068 seconds\n", - "Created gap junction connection matrix 0.00011629200889728963 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008870120000210591 seconds\n", + "Created connection matrix 0.0050973429997611674 seconds\n", + "Created gap junction connection matrix 0.0004993910006305669 seconds\n", "Creating population dictionary\n", "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", + "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 630, at 0\n", - "Created distance histogram (optimised) in 0.0009607949759811163 seconds\n", - "Saving cache to networks/dSPN_to_iSPN_np4_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to iSPN (synapses)\n", + "n_synapses = 5336, at 0\n", + "Created distance histogram (optimised) in 0.005062444000031974 seconds\n", + "Saving cache to networks/scan_FS_to_dSPN_f1_a3_distdep/network-synapses.hdf5-cache\n", + "Plotting connection probability FS to dSPN (synapses)\n", "Centering in None : Keeping 75/75\n", "Counting connections\n", "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.057608695652173914\n", - "P(d<0.0001) = 0.04220696669209255\n" + "P(d<0.0001) = 0.8295687885010267\n", + "P(d<0.00015) = 0.694949494949495\n", + "P(d<0.00025) = 0.3877139979859013\n" ] }, { "data": { - 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\n", + "image/png": 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/dSPN_to_iSPN_np4_dd/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_dSPN_f1_a3_distdep/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 210 connections\n" + "Plotting 1239 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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1sHMVGb8O3Jv+rPcAK5VIMxgf+ddWw1FVH7jxviVz/gPg9HQ8ERiYjgV8lI4PBQ7L5PkHsFPmGt9Ix78Bjs4p82Rg7nTcG3/hPwg8Dvwkhf8MOCcdr4bPv5ovPUv/TPp9DvhRqXJLXPPHwOGZ+3yXFiP+TeDGEnkGUcJwpLjhwAzgV5mwPXGj+gDwN+Y0HBcBq6TtrhLllZUJ6I9/sDyYtg3KyPQAsEKZuJMyv998+MfUQ7QYhlZhRfnXAu7OnG9beIbS+cHAL9vyLLfXFr6qmhwz2wefjb+xmZ1Ua75ULX+0xLZ7ieRL44agwKsprBy74F9KX7odkLS/pBfwL8aDSuTZGfh3kYw34jWEj4FLq9zSM8BGZrYW8AfcEBXK+Yakibhx3cfMvijO3A76eB5YKTW99AG2Awrudh4Dtk/Ho4EFJC2WwreQNJ+kxfGvz0KevYHrJL2KG6Fjq+gje2+DgQ/MbEYK+iHwoZmtixu4H6U0pwArpOa8c3GD8mnKszpeO/om8AdJS5Uot5gN8JcieO1jakb3lZ6hwZIekXS7pI3SPXwLr3X8FXhP0sGSlgT+L11nQ9xAFO65N/7x8BT+ITNV0uWp3BNSfCWZTgFOSjraAfh7GVmXB3aWNEHS9ZKGZuImABtJmhcYi+v0XGBshbAsP8RrtnOUV+G8aci92JKkpfEHfilgnjLJzMz+1BbBgrZhZjtXT1U3u+Avt+z1xuJ/jl2B3wN7FOIkfQP41MyeLMqzuXyU3gX4S+vmCtdcCDgv/XENr6kUyrkfWFXSV1Oa683ss6JrNVQfZvaBpH3xr97ZeC1o+RR9CHCapDF4f99rwCwzu0nSuintO/gXfmGBtJ8B3zaz+yUdCpyIG5NaWDKVV2AzYHVJO6bzhYChZvZikulx4CwzuzuT5yozmw5Ml3QbXsN7u6jcatethTfw5pf3JK0DXClpVeB/ZnazpMPN7O+pT2BbYLyZvQNu/HEjAfANfM4Y+HtsI/wL/mX8NxkDXFVBjk2BVTJdKQtK6mdm04rSzQ18ZmbDJG0PnEPLy/xtYCkzmy5pL2BECh9rZlYqrFCopN3w/uJC/JflVThvGmo2HOmHPBlvfy3UVIo7sCyFGRCGoxNJf7KVSkSdaGbnF4W9RsuXL8AyKaxUuWvgVf+HSsUD/wHOKArbhaLaRgEz+0zSVfhLopLh+BNwm5mNTh2f40uU9bSkacDX8K+1rNwN14eZXY03syHpxyQjYGavk2ockvoBO5jZ1BR3FN6Wj6QLgUmS+uP+3QovwouAG6id6cz5ESfgQDO7sUTaocA0Wr+Qip3WWXG5ks7FX86vm9m3i+LfAxaW1Cd94ZfT2Qy8OQozeyjVUlc0swkp7PC0N7XuH8+yJS06ehV41MwmJzmvxPumzqkgUy9gveIPjFQLXgKYYGZ7p7IvT9FX4LWHAvMkHZCMwviie20Vlq6xKfA7YERRbe7L8sqcNw15ahyHAgfiX1c34E0HH7WHUEHbyfmF/V/gAEn/wb/kPjSzN8qk/R6tm5yGmtlz6fQ7eDt5Ia4XsBOZKnd6mS5gZm+kZp7vAHemuAOS/F+OnkksRMuffkymrMHAK2b2RRqhsjIwpVjo9tCHpAFm9rakRfAPqp1S+OLA++aeFH6Dv8AKzSsLp6/t1fHmoZsK9ydpRTObBHwLeDrlGQ183cx+U0HeSXjfQYEbgX0l3Wpmn0taEdddH7wpaDheI9rRzApNhNtKOgbvtB8J/Br4MFuume1ZdN2ngRXwWoGlmsqO+MfDHpT44k9G8n0zmyVpCG7IJpe5r/uBU1Iz30e4S6PHUtwovFkUvI9iYUn9U+1kE/zFX0mmm/D32QlJrjXN7FEz27xIhivxFpYX8drBpEzcing/Uc1IWgvvQ9vC5hyRWqq83OV3GLV2huAPyQzcO26nd870pA1/ES6ejr+CfwV9BExNxwu2sXzh7bEv4P0EwzJxjxalnQysXBR2Ct4h/Cg+ZHvVTNxIMiNvUtgStHTcPgmcSksH5mlkOqYzeb6J/2kfAY4EpqTwH2Su/TCwXQP0XZM+cAP6VNp2yYTviBvPSXjbeaHTep5M+vuANTN5RqdrPYZ/pQ5J4YcAv6lB5ltInbj41/TRqbwn02+yEG7ADkppBuL9NAPwzvHzKd05/mW5Ja65EfCvzPkQvDP5eXxkWeG+twGOSMc7FP1eW1e5r2zn+Nnp+egP3FqU7lvpeXoCGAf0rSLT4njN7vH0e5xZ5voLA9emcu/Fa4aFuGuA1XI+W//DB3A8mrb/ZuIOwWuKhfPTqumns7Y8btU/w0cubFpThiCoA/mcge3NbGZny9IMSPoXPpquYl9CqpmsY2a/r+MahwPTzOzPecuVdBewlaWmuI4g9Q8sY2Y1DyBoBxmWAC40s1ENLPMOfOjzB5LmBm7HP9RbDfbobPI0VU0lXIkE7YyZbdXZMjQTZrZbjemuSE06jb5+tXJ/gTs1ndroa5fDzP7VUdeqwLL4vTeE1IR3opl9kCn/181oNCDfQk4XAuua2dCqiYMgCIJuS555HIcB/SUd1l7CBEEQBM1PnhrH7vhQvIPwzqbr8THTs0ult9ZDHIMgCIJuQB7DMZuWeRrQetz3HJhZXU7rgiAIguYmT+f4+VQxFt2VLbbYwm64Ic98rCAIgm5ByVmYNRsOMxvTMFG6GO+++25nixAEQdA0hJPDIAiCIBe5nRwWkC800x94z9xNQhAEQdADyFXjkNRH0h8kvYWvH3AX7tOmEP99SfdI+lqD5QyCIAiahDzecfsA1+HOxb7AfVetUpTsbnxBmB1oVudcTcbcg3aqGD9jysUdJEkQBEFt5KlxHID7sL8FGGRmrWoVZjYFdya2WUOkC4IgCJqOPIbjB7jP/Z2svMtt8JrIwArxQRAEQRcmj+FYCbi/Bi+YH+Od5kEQBEE3JI/hMMq4FyliKeCzqqmCIAiCLkkew/EisEZa0a0kaTH21UmrlwVBEATdjzyG47/4mr2VfND/EliEyovEB0EQBF2YPBMAT8SXcTw2rZtbWKt4cUlb4usB74F7zD29oVIGQRAETUMeX1XvS9oCr03sAuyM93t8J20CXsHXyP24HWQNgiAImoBcLkfM7AlJq+A1jy3xheB74wbjeuBsM/uk4VIGQRAETUNuX1Vm9hlwRtqCIAiCHkZ4xw2CIAhyEYYjCIIgyEXZpipJk9tQrpnZ8m3IHwRBEDQplfo4BpUJz647Xi6uRy4xGwRB0BOo1FQ1uMR2Em4ULgdGA2ulbTRwWYo7ER9tFQRBEHRDytY4zOyl7Lmk7YCfAruY2SVFyR8DrpK0I3ARvi7HSwRBEATdjjyd44cAD5QwGl9iZpcCD6S0QRAEQTckj+FYHXihhnSTgVg6NgiCoJuS1636yjWkW6lOWYIgCIIuQB7D8QCwlqQflUsgaW9gbeD+tgoWBEEQNCd5XI4cAWwMnClpF+ACfI0O8KG730/xs4AjGyhjEARB0ETk8Y57p6QfAGfhBmJkURIBnwD7mNkdDZMwCIIgaCryesf9t6TxwN7AcHxhJ4DXgNuBf5jZ6w2VMAiCIGgq6vGO+wbwp3aQJQiCIOgChJPDIAiCIBdhOIIgCIJchOEIgiAIctF0hkPSrpLulPShpGmSJkjaX1LNskrqJWl9SUdKukfSB5I+l/SWpOuS360gCIKgDnJ3jrcnksYC+wGfAbcAnwOjgNOAUZJ2NLPZNRQ1BHe0CPA+PnnxgxS+JbClpHHAXmYWLuCDIAhy0DQ1Dkk74EbjTWB1M9vKzEYDQ4GncdftB9ZYnAG34kZigJltbma7mNnX8fknnwBj0hYEQRDkoGkMB/CbtP+VmT1XCDSzt4B90+mva2myMrMXzGyUmd1gZrOK4m4Hjk2nuzVA7iAIgh5Fnn6DRdpLCEnLAOsAM4FWbtvTy/414CvAeg245CNpv0zFVEEQBEEr8tQ4XpX0d0lrt4Mca6X9RDObXibNg0Vp28LQtH+jAWUFQRD0KPIYjt7AXsCDku6VtJukvg2SY3DaV1o18OWitHUhaT7goHR6WVvKCoIg6InkMRxLA7/FX+DfAM7DayHHSFqujXL0S/tPKqSZlvYLtPFap+PG5yng7DaWFQRB0OOo2XCY2Xtmdiw+pHVb4CZgMeBXwPOSrpK0efuI2RgkHQbsAXwI7GRmMyqk/XGaQzLhnXfe6TAZgyAImp3co6rMudrMtsT7Ck4EPgK2Bq6T9Jykn0laOEexhdrE/BXSFGolH+eVGUDSz/E1RaYBW5rZxErpzexsMxtmZsP69+9fzyWDIAi6JW0ajmtmk83sEGAp4Hh8TY4hwJ/xZqzTJH2lhqKmpH2lJq+BRWlrRtKBwF+A6cBWZnZv3jKCIAgCp02GI7n22B64Fjg0BU8FrsNnpe8HTJS0bpWiCsNjV5U0b5k06xalrVXG/YG/4rPRt0lDe4MgCII6qctwSPqKpD/go6AuATYBJgL7AMuY2dZ4DeFUYBHghErlmdkrwMNAX+C7Ja43Ap9z8SZQc21B0j64u5IZwHZm9r9a8wZBEASlyWU4JI2UdDFuMP6IT8i7EtjEzFZP/QLTAczsHTM7GBiPT+6rxjFpf5ykFTLXHICPhAI4NuurStIBkp6RdH4JWX+U8s0ARpvZjXnuNQiCIChNzU4OJU0EVsb7Md4H/g6MTbWFSkwGRlQr38wulXQG7l7kCUn/o8XJ4YK4gTqtKNviwEp4TSQr65r42ugCXgR2lrRzicu+m/pogiAIghrJ4x33q8BjePPThWb2WY35/gHcWUtCM9tP0l3A/rix6Q08A5wDnFGjZ1yAhXGjAW7sVi6T7iUgDEcQBEEOVKtXcUkbmtld7SxPUzJs2DCbMGFCu5Q996CdKsbPmHJxu1w3CIKgBlQqME8fxxBJ61e9irSepN1zlBsEQRB0IfI0VY1L2z1V0v0Q92nVqsM6yE+1GglErSQIgo6lPdbjKFm1CYIgCLoH7WE4lqHFhUgQBEHQzajYVFWir2KFCv0XffCRV6NoWTsjCIIg6GZU6+MYh6/fXWCDtJVDwGzcV1UQBEHQDalmOM6nxXDsAbwA3F0m7Ux8ederzOyxxogXBEEQNBsVDYeZjSkcS9oDuMvM9mpvoYIgCILmJc9w3MFEp3cQBEGPp2bDYWaV1gMPgiAIeghlDYekZdPha2Y2K3NeE2b2cpskC4IgCJqSSjWOKfgIqVWASem8NsdWni5PM1gQBEHQRaj0cn8ZNwCfF50HQRAEPZiyhsPMBlU6D4IgCHom7eFyJAiCIOjGhOEIgiAIchGGIwiCIMhFpeG4k9tQrpnZ8m3IH+QgVhEMgqAjqTSqalAbyo3RV0EQBN2USoZjcIdJEQRBEHQZKg3HDRcjQRAEQSuiczwIgiDIRRiOIAiCIBeVRlWdg3dy/9bM3krntWJm9sM2Sxc0hBh1FQRBI6nUOT4GNxzHAW+l81oxIAxHEARBN6SS4dgz7d8oOg+CIAh6MJVGVZ1X6TwIgiDomUTneBAEQZCLuhdbkrQksEw6fc3MXm+MSEEQBEEzk7vGIWkfSc8CrwL3pe0VSc9K2q/RAgZBEATNRc2GQ1JvSZcBY4Gh+Mip19NmKexUSVdI6t0ewgZBEASdT54ax8HAaNxQ7AXMZ2YDzWwgMC8+6uo1YJuUNgiCIOiG5DEcewHTgZFmNs7MZhYizOzzNOpqY2AGMYcjCIKg25Knc3x54FYze6FcAjN7QdJtwCZtlizoMKrNLIeYXR4EQQt5ahwfAh/VkO7jlDYIgiDohuSpcfwPGCGpb7aZKoukvsAGwK2NEC5oHsLfVRAEBfLUOH6Pd4L/U9LixZGSFgXOB+YBftsY8YIgCIJmo5J33D+UCL4G2B34tqSbgRdT+CBgM2A+4J/AD4A/NVTSoKmJGkkQ9BwqNVUdjs/PUCassJb4/MB2ZfLtntKF4QiCIOiGVDIc/9dhUgRBEARdhkreccNwBEEQBK0I77hBEARBLur2jhsEjSQmIQZB1yG34ZA0D+5aZEVgQebsPC9gZlZX57ikXYF9gdWB3sAzwLnAGWY2u47ytgB+DgzDhwpPBv4N/NnMZtQjY5CfWgxDEARdg1yGQ9IOwJnAopWSUeeoKkljgf2Az4BbgM+BUcBpwChJO+YxHpJ+ia+ZPgsYD3wAjACOBLaSNMrMPs0rZxAEQU+mZsMh6RvAf4DZ+Bf714DVgGOBFYBvAQsB/8DX6shFMkr7AW8Cw83suRS+BHAb7pn3QOCUGssblmT7FNjEzO5P4f2Aa4HhwFHAz/LKGgRB0JORmVVPBUi6BNge2MbMrpV0LrC7mfVO8YvjTUprA2ub2Vu5BJEmAOsAe5jZ+UVxI/Aaw5vA0rXUOiRdCuwA/NHMjiiKGwI8B3wBLGFmUyuVNWzYMJswYULtN5ODaMJpHqIPJQhaUaorIteoqvWBJ83s2lKRZvYusCswNznngEhaBjcaM4FLSpR9O77Wx1eA9Woory+wZTq9oER5k4F7gb7At/PIGgRB0NPJ08exOHB35vwLAEnzmtl0ADP7WNIdtLy0a2WttJ9YKKsEDwJLp7T3VClvJdz9yfsV3MA/iDtkXAu4MJ+4QXekI2p/UasJugN5DMcHeG2iwNS0XwZv9ilgwICccgxO+5cqpHm5KG0t5b1cIU2e8oKgITRD02QYr6Ct5DEcrwDLZs6fxNu/tgJOApA0P7Ah3qyUh35p/0mFNNPSfoFOKC8Iug2NMF7VjE8zGMhmoBF6amsZ7fGhkMdwjAcOltTfzN7BPeV+Chwj6Sv4SKrd8SatyxstaEcj6cfAj9PpNEnPNqjoxYF3G1RWTyd02Rhy61Eq2WcaFOmyEXpqaxltzH+DmW1RHJjHcFwCrIn3CdxkZu9J+gVwOnBIQUa8ZnJYTuEKX//zV0hTqEV83BHlmdnZwNk1XCsXkiaY2bBGl9sTCV02htBj4+gpuqzZcJjZA/hcjWzYWZIewoe9Lkqa5V1teGsJpqT9chXSDCxKW0t5y1ZIk6e8IAiCINFmX1VmNgFo6ySHR9J+1eworSLWLUpbiWeA6cCikpYvM7Lq6znKC4IgCBJN4R3XzF4BHsbnVXy3OD5NAFwGnwB4bw3lzQSuT6ffL1HeEOCb+LyRkvNS2pGGN3/1YEKXjSH02Dh6hC5rnjn+ZQafXLcDMBJ/mYOPohoPXFav40BJO+L9KG8CG5nZ8yl8AO5yZBXgp2Z2SibPAcABwANmtntReesC9+M1j41TU1vB5cg1uM+qk80sXI4EQRDkIJfhkLQ+PlluIK2nohs+sur7ZnZXXcJIp+OecT8D/keLk8MFgSuBHc1sVib94cAfgdvNbGSJ8rJODm/F556MwOeZ3I/7sAonh0EQBDmoualK0qrATXiH84u4g8Afpe0o3F35QOCGlDY3ZrYf3rT0MP6C3xx4Hq9V7JA1GjWWdzw+i/02vI9ka3yo3O+BER1lNCTtKulOSR9KmiZpgqT9JTVFU2GzIGklSQdL+pekZyTNlmSpNlotb+g4IWkuSaMk/SXp4SNJMyW9JulSSSOr5A9dZpB0oKSLJT0t6T1Jn0t6R9L/JO2mMuNdJfVKepuQ9Phh0uv3OvoeGo6Z1bQBl+GecY8CepWI74W7K58NXFprud19A8bitbHpeBPZFcBHKezyUrrsqRtwctJL8bZj6DiXHjfN6O6NpJOLgCcy4UeELmvW56t4f+jDwNW4l/B707vO8NaQXkV5egNXpfgPk+6uxVtTDDils++rTTrJobx3gadrSPc08G5n31gzbHhfUOHPOzQTvgTwVIo7uLPlbJYN2Bs4HtgJWB7vN6toOELHJXWyCXAp3ldYHLcz7mfO8L6/0GV1fW4IzF8ifFW8T9aAPYvifpHCJ+IeuAvhQzN5tu3se6tbJzmU9wlwQQ3pLgCmdfaNNcOGD1M23P18cdyIzJ+0x33F1ai/WgxH6Di/Xv+e9PKP0GWbdXlY0suFmbDewFspfHiJPHukuAc6W/56tzxtls8CS9aQbknmdHrYI2m0q/igNaHjuinMXSqMigxd1s8XaZ8dTfpNfADOq2Z2R4k8l+ADf9aVtHQ7y9cu5DEcZwLDJW1QLkGKGw6c1VbBugG1uorPpg3yETquj6Fp/0YmLHSZE0mDgX3S6X8zUQX9PEgJzAflTEyna7aLcO1MHpcjZ0taGR81dTreJPViih6Ej4baD+/0ObPRgnZBGu0qPmhN6DgnySHpmHR6WSYqdFkFSXviTXZz4bW19fGP76PN7IpM0lp1uSZdVJdlDYekSkNfD6HFsWExP5V0sJm12Z1JFydcu7c/oeMcSOoD/AtYCLjFzK7ORIcuq7MB3j9R4Au8j+PEonTdXpeVmqrUhq1HjvcOgibnTHxC7SvAbp0sS5fDzPY2M+Gri66KDx8/HLhP0lKdKFqHU7ZWYGbx8m8bjXYVH7QmdFwjkk4BfogPBR1lZm8WJQld1kjqA3oKOFTSm8CfgdOA7VOSbq/LMA7tx5S0b5Sr+KA1U9I+dFwBSX8BDgLewY1GqVGPU9I+dJmPcWm/taS50vGUtO+2ugzD0X7M4Sq+TJo8ruKD1oSOqyDpeODnwHvApmb2VJmkocv6+ADv6+iDr0kEPsMcWvQ1B5LmA76WTrukLnMbjuQH53uSzpJ0TdrOSmFzVS+hZ2ANdhUftCZ0XBlJxwKH4i+3b5nZ4+XShi7rZjhuNKbSsmTsvXjtbhlJw0vk+S4+MutBM3utI4RsODlnSa6DOzOchftpyW6zgBeAtTt7VmOzbMCOtMy2XSETPgAfx90jXTjk0N94qs8cDx2X1suR6d4/ANapMU/osrVONgS2AvqUiNsgvfMM+HNR3CG0uBwZkAkfmvTbpV2O1OxWPc0sfRSvjr2Mz+OYnKKH4PM4lsWrxGtaV7WkDSavq/iejKS18TXsC6yCD1d8Dni/EGhm6xXlCx1nkLQN7mAP3I3IxDJJnzGzY4vyhi4zSBoDnIvXKB7Ga1wL4L7UVknJrgW+a5mJk5J64w4it8adRN6C1zI2BeYBTjWzgzrkJtqDHJb3NLxmcTIwV4n4PsBJKc2pnW0Rm2kDdgXuxh+gT4CHgP0Jnz/FehpJae+4c2yh46p6HFOLHoHxocuquhwMHIEvzfAy7jX4M7xT+1Jguwp5e+FLQjyU9PgRcBewa2ffV1u3PDWO59PhUCuTKfnrn4QvELV8TQUHQRAEXYo8neNL494cy1oaM5sNPAD0qMkwQRAEPYk8hmM6LcPNKrFoShsEQRB0Q/IYjseBkcnRYUkkrYS3U5cd9hcEQRB0bfIYjn/gY7xvlbSXpL6FiDS3Y09aRg78rbFiBkEQBM1CzZ3jAJIuAL6Hj8iYTct45KVwIyR8JaxwoBYEQdBNyWU4ACTth6+nW+xHfjJwopmd3jpXEARB0F3IbTi+zOhLHhaWPXzNYsJfEARBj6DmPg5J70v6cv1cM3vNzB5IWxiNJkfSFEmWtq0qpHsypRnZcdLlQ9LIJOP4zpalvZG0t6SHJH2S+f0W7my5gp5NnlX6+uILwARdn6MlXZfm3QRNSjLwf8NnKt9Mi9uVmZ0mVBCQz3A8DyzeXoIEHcanwGq4b7F/drIsQWUKXmoPMrMYqRg0DXmG4/4LGC6pSy6uHnzJX9P+/7JDqoOmpLDYT6mFl4Kg08hjOE4CbsTncewsae52kiloXy7D3cIMBvapNZOk8ZX6PiSNS/FjyoVLWlXSZZLekTRN0l2SNs6k3UrS7ZI+lPSRpP9KGlpFrvklHStpsqQZkl6RdKqkxSrkGSjpFEnPSpqernV3klGV7l3ScEnXSnpX0mxJ21XW3JdlzCXpAEn3p+tNl/R0kn2xorTjJBlQ0M1tmf6Nw2u83i6Sbk19k58neZ+QNFbS8ilNv6TrL5L363JlPZSu/e1MWKHPbJCkb0m6JZX1qaT7kofeUmWtIukISfdIel3SzPQ8XCdpizJ5xqRrjZO0uKQzJL0q6TNJL0g6Ur44Ul16KEo/l6R9JN0p6YN0jecknSipfyOu0S3I4SVyMvAiLWtvzMLncUwusb3Q2d4bY2v1+03B59wMAzZJx28B/YrSPZniRhaFjy8Vnokfl+LHlAk/DfcQ+gTwH9xjqOHt9RsBB6Zn6g7g4oy8bwCLFZU5MsXdA9yHr/H8X9xb6TspbhKwRAk5N8ZdZBv+JX8F3n/wcQo7v0Sewr2PTTI+Afw75ftODbqfB/euakkH16R7LMyDmgIMyaTfO+ntzRR/QzofRwVvrJn8h2d0Ox64ELgOXyfbgF0yaU9OYUeUKWu9FP8CGe+4md/nT/g74f6kk4dpmefVah0V4O8p/ingeuAi4EFaPPb+vESeMSnuqiTHe/gH0FW4x1nDF0+ar149pPQLAnemuKn4hObL8PeeAS8Bg9pyje6y5XnxFC/cVGmb1dk3Flur36/wRx+Wzm9M538sStdehqPVSwE4LoU/C3wIbJSJmwc3IgYcVpRvZKbMZ4GlM3EL4OtIGHBxUb4l8Q7mL4A9SMPRU9xAfBnPUvcwPnO9H9eh++NT3qeLZJ0XN3YG3FsiX0Wdl7nW3Hg/1sfAiiXihwKDi85nA69TermE85MMh5R5nmYAWxTF/T7FPVeivBEUvXxT+DfSMzATWKYobkxG/3cBC2filsBdHBlwfL16SGH/SeVcAiySCe+deVbHt+Ua3WXL8/Avl2fr7BuLrdXvV/ijFwzH2umF8RHQP5OuvQzHPSXyLJJ5IRxdIn50iru1KHxkJt9WJfKtgBuHWcDATHjhz39cmXsYluIfKnPvN9Wh93lpqc18q0T84pn4DfLovMz1+qc8j+bIc13Ks1MJ2T4jOTgt8zz9uUR5fWmp1S2bQ46jUp79i8LH0FKLWa1Evo1T/EfAPPXoAV+UydJ9zVsivhctBmq1enXdXbaa+zjM7KU8W63lBp2DmT2MN5csAPyuAy55QwkZPsCbHUrG09IpXM5N/1Qzu6ZEuc/jTVi98DWhCxTa6C8pU95DeLPXmpLmKRF/eZl8lVgH6Ae8bmY3l5D1XeDqdDqyjvKLy3sHf/mtIekvquCUNMOpab9fUfgP8a/q/5jZ+5SmlP5n0rI6aKvfTtICqV/gWElnp76LcbTc/4plrvW4mT1R4nq3Aa/hz/I6KSyvHrYs3I9lVvLLXGM23owF8M06r9FtqGo4JC0s7wz/paSD5YvWB92D3+Nf5vtIWq6dr/VqmfBpFeILcaVe4uB/2nIU4rKdvkPS/sFMZ/OXG/5F2w//X5TqXK/ng6jgXeHFCmkKL9mlK6TJw+7A28DPgaclvS0faLC/pIVKpL8BN9IjJK0CXy7KVhg8MbbCtV4uE/5R2s/x20naFv9t/g38CvgR3my4B7B+SrZgmTIr6XBK2md/7zx6KDwb+5d6NtLzUTCs2U7yvLruFlScxyFpJ+Asin5ISY8Ao80sJgR2YczseUl/x18QR+B/3nqp9hFSbbJhR0xG7J32F+FNMJWYUSKsLevMWBvy5ruQ2Z3yYfNb4V/x66fjrYHDJW1mZo9k0puk04BT8JfjAXjtbBDwoJlNqHC5mn+3NHLr33jz3THpeArwiZnNlvRj/H3TamRbPeTUQ+HZeAhvrq3El2u459V1d6Gs4ZC0Bj53ow8+EmQSbkAG4+3jlwFf7wAZg/blCPyraTdJJ1RIV5it3K9MfHvXWEoxqIa4rDucV/D+jz+Z2cRWOdqHwvUrzX8qfO02zHWPmX2KN0VeDCBpSXxI/c54DWL9oizj8D6GH0j6NS1f15VqG3nZCjcal5nZb0vEr1Al/6Aa4ubQYQ49FD6CbzOzQ6vIMQd16LrLU+kr8ee40fgXsKSZrWNmQ/EOxBeBddTE/oyC2jCzN/AvzV7A0RWSFv6QrdpxJS2Bf0x0NAtn5xZk5FmelmGkd2Sirk/77xbnaUcK/SZLSxpVHCmfw7F1Oh3fXkKk37nQl7VGifiPgPPwj8M/AJvj/U8XNVCMwgqirVoq5PPCdqiSfw1Jq5bIOwJv5puG67ssFfRQeDa2k5THo0aea3QbKhmOjfBx5j8ys0JbM2b2KPAzvDq5UbtKF3QUxwMf4C+wcl/Gt6T9/umLCgBJi+IvnHI1kfbmL0Xy9ANOx5serjCzbBv8CXjb+29TG3SrF4R8kuL2jRIudbSemU5PKZJ1HuAMXHf3mdndbb2epOXkjhFL9RMUDFS5vprTcGN7KP5uOMfMqjXp5eGZtN8hfWwAIPdgcCotNa9yCDgj23eQJuWdkk7PLnRs59VDGixyJV7ruVglJkRKWkTSTwrPTRt13aWpZFmXBG40s1JtvYWvuHKjXYIuhJlNlXQMbkBKzsDFq+E/B9YCJkq6Gx92uS4+B+BKYLt2F3ZO7sUNxCRJt+LNaSPwzssXgP2zic3sFflM70vxl+TvJE3EOzcXxn14DcS/susZQVWOw/Ca+kjguSTrdPzDa0m8g/n7DbrWIrhjxLGSHsVbB3rhw01XBT4Hflkqo5k9I+lmYDO87+KMBslU4L/4XJm1cD2Mx/uaNgAWwt3hHFQl/9eAF1LePvhQ3AXxSYR/yKStRw97pGuMBraU9BjeB9MHN2qr48/befigkrp13dWpVOOYmxZvnHNgZlMzaYLuwamUH/lUGGK5Kf4ymY43ZayM/4nWxydvdTQz8VnwZ+F/6m1S2FhgPTN7szhDGrq5Kt4s9zbepLVDCpsM/IYGD09OX+2b4S/Fp/CX3bZ47ed4YG0zm1y+hFy8gLcIXI83DW0FbIG/8M4G1iw1hDlDYcjw9WZWaRRTbszsC9ywH4+3ZmyGG8878GG01TqRP8B/ryvwIbFb4s1pRwMbm9knmbS59ZCa60bhfX53AMvjz8Zw/F15FrB5phbWVl13Wcou5CRpNjDOzPaqJz4Igq5HGjG5JvBtM7u+SvIOQe7/7FzgPDMb07nSBFDdrfpXJA2vJ97M7igVHgRBcyJpNG40nqb0hMwgAKobjs3TVgqrEG81lB0EQSeTRnUdhze1FEaoHWrlmiKCgMov95fpwElLQRB0CgvgrkW+wBdrO8bMru1ckYJmp2wfRxAEQRCUIs9CTkEQBEEQhiMIgiDIRxiOIAiCIBdhOIIgCIJchOEIgiAIchGGIwiCIMhFGI4gCIIgF/8P3YQUs3WrmL4AAAAASUVORK5CYII=\n", "text/plain": [ - "
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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/dSPN_to_iSPN_np4_dd/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", + "Wrote networks/scan_FS_to_dSPN_f1_a3_distdep/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", + "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_iSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np1/network-config.json\n", + "Writing networks/scan_FS_to_dSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_dSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_dSPN_f1_mu2_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 31/125 (150 neurons)\n", - "Processing hyper voxel : 36/125 (148 neurons)\n", - "Processing hyper voxel : 32/125 (146 neurons)\n", - "Processing hyper voxel : 37/125 (139 neurons)\n", - "Processing hyper voxel : 56/125 (124 neurons)\n", - "Processing hyper voxel : 61/125 (108 neurons)\n", - "Processing hyper voxel : 57/125 (87 neurons)\n", - "Processing hyper voxel : 6/125 (87 neurons)\n", - "Processing hyper voxel : 11/125 (74 neurons)\n", - "Processing hyper voxel : 62/125 (71 neurons)\n", - "Processing hyper voxel : 7/125 (64 neurons)\n", - "Processing hyper voxel : 30/125 (60 neurons)\n", - "Processing hyper voxel : 35/125 (56 neurons)\n", - "Processing hyper voxel : 26/125 (43 neurons)\n", - "Processing hyper voxel : 12/125 (40 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 55/125 (26 neurons)\n", - "Processing hyper voxel : 60/125 (21 neurons)\n", - "Processing hyper voxel : 41/125 (19 neurons)\n", - "Processing hyper voxel : 5/125 (17 neurons)\n", - "Processing hyper voxel : 51/125 (13 neurons)\n", - "Processing hyper voxel : 1/125 (10 neurons)\n", - "Processing hyper voxel : 10/125 (9 neurons)\n", - "Processing hyper voxel : 42/125 (8 neurons)\n", - "Processing hyper voxel : 2/125 (7 neurons)\n", - "Processing hyper voxel : 33/125 (7 neurons)\n", - "Processing hyper voxel : 66/125 (7 neurons)\n", - "Processing hyper voxel : 81/125 (7 neurons)\n", - "Processing hyper voxel : 52/125 (5 neurons)\n", - "Processing hyper voxel : 17/125 (5 neurons)\n", - "Processing hyper voxel : 25/125 (3 neurons)\n", - "Processing hyper voxel : 38/125 (3 neurons)\n", - "Processing hyper voxel : 16/125 (3 neurons)\n", - "Processing hyper voxel : 40/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 80/125 (2 neurons)\n", - "Processing hyper voxel : 63/125 (2 neurons)\n", - "Processing hyper voxel : 86/125 (2 neurons)\n", - "Processing hyper voxel : 13/125 (2 neurons)\n", - "Processing hyper voxel : 8/125 (2 neurons)\n", - "Processing hyper voxel : 58/125 (2 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 28/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 72238 out of total 72238 synapses\n", - "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 12.158824215002824 s\n", - "f1 = 0.0031\n", - " fun: 3.412506379106843\n", + "Processing hyper voxel : 50/216 (139 neurons)\n", + "Processing hyper voxel : 44/216 (131 neurons)\n", + "Processing hyper voxel : 86/216 (111 neurons)\n", + "Processing hyper voxel : 80/216 (101 neurons)\n", + "Processing hyper voxel : 49/216 (93 neurons)\n", + "Processing hyper voxel : 85/216 (85 neurons)\n", + "Processing hyper voxel : 43/216 (82 neurons)\n", + "Processing hyper voxel : 51/216 (72 neurons)\n", + "Processing hyper voxel : 79/216 (66 neurons)\n", + "Processing hyper voxel : 14/216 (58 neurons)\n", + "Processing hyper voxel : 45/216 (58 neurons)\n", + "Processing hyper voxel : 56/216 (53 neurons)\n", + "Processing hyper voxel : 87/216 (53 neurons)\n", + "Processing hyper voxel : 8/216 (45 neurons)\n", + "Processing hyper voxel : 81/216 (44 neurons)\n", + "Processing hyper voxel : 92/216 (34 neurons)\n", + "Processing hyper voxel : 55/216 (32 neurons)\n", + "Processing hyper voxel : 7/216 (31 neurons)\n", + "Processing hyper voxel : 13/216 (30 neurons)\n", + "Processing hyper voxel : 122/216 (24 neurons)\n", + "Processing hyper voxel : 91/216 (24 neurons)\n", + "Processing hyper voxel : 38/216 (22 neurons)\n", + "Processing hyper voxel : 57/216 (19 neurons)\n", + "Processing hyper voxel : 116/216 (18 neurons)\n", + "Processing hyper voxel : 15/216 (18 neurons)\n", + "Processing hyper voxel : 9/216 (16 neurons)\n", + "Processing hyper voxel : 121/216 (15 neurons)\n", + "Processing hyper voxel : 74/216 (15 neurons)\n", + "Processing hyper voxel : 37/216 (15 neurons)\n", + "Processing hyper voxel : 93/216 (14 neurons)\n", + "Processing hyper voxel : 48/216 (12 neurons)\n", + "Processing hyper voxel : 115/216 (12 neurons)\n", + "Processing hyper voxel : 42/216 (12 neurons)\n", + "Processing hyper voxel : 84/216 (11 neurons)\n", + "Processing hyper voxel : 2/216 (10 neurons)\n", + "Processing hyper voxel : 78/216 (10 neurons)\n", + "Processing hyper voxel : 20/216 (9 neurons)\n", + "Processing hyper voxel : 73/216 (9 neurons)\n", + "Processing hyper voxel : 75/216 (9 neurons)\n", + "Processing hyper voxel : 123/216 (8 neurons)\n", + "Processing hyper voxel : 1/216 (6 neurons)\n", + "Processing hyper voxel : 39/216 (6 neurons)\n", + "Processing hyper voxel : 117/216 (6 neurons)\n", + "Processing hyper voxel : 19/216 (4 neurons)\n", + "Processing hyper voxel : 21/216 (3 neurons)\n", + "Processing hyper voxel : 128/216 (3 neurons)\n", + "Processing hyper voxel : 97/216 (2 neurons)\n", + "Processing hyper voxel : 98/216 (2 neurons)\n", + "Processing hyper voxel : 52/216 (2 neurons)\n", + "Processing hyper voxel : 62/216 (2 neurons)\n", + "Processing hyper voxel : 36/216 (2 neurons)\n", + "Processing hyper voxel : 6/216 (2 neurons)\n", + "Processing hyper voxel : 3/216 (2 neurons)\n", + "Processing hyper voxel : 88/216 (2 neurons)\n", + "Processing hyper voxel : 127/216 (1 neurons)\n", + "Processing hyper voxel : 114/216 (1 neurons)\n", + "Processing hyper voxel : 61/216 (1 neurons)\n", + "Processing hyper voxel : 110/216 (1 neurons)\n", + "Processing hyper voxel : 109/216 (1 neurons)\n", + "Processing hyper voxel : 90/216 (1 neurons)\n", + "Processing hyper voxel : 82/216 (1 neurons)\n", + "Processing hyper voxel : 54/216 (1 neurons)\n", + "Processing hyper voxel : 46/216 (1 neurons)\n", + "Processing hyper voxel : 12/216 (1 neurons)\n", + "Processing hyper voxel : 111/216 (1 neurons)\n", + "Processing hyper voxel : 157/216 (1 neurons)\n", + "Read 15460 out of total 15460 synapses\n", + "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", + "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 26.51200884691073\n", + "Worker iter: 100, fitness 26.543368147235277\n", + "Worker iter: 100, fitness 26.733513797072167\n", + "Worker iter: 100, fitness 26.690847743769115\n", + "Worker iter: 100, fitness 26.58092223597007\n", + "Worker iter: 100, fitness 26.54582594255377\n", + "Worker iter: 100, fitness 26.68528123408243\n", + "Worker iter: 100, fitness 26.528844443168722\n", + "Worker iter: 200, fitness 26.399505899908867\n", + "Worker iter: 200, fitness 26.400182526650838\n", + "Worker iter: 200, fitness 26.399505899908867\n", + "Worker iter: 200, fitness 26.40070637154054\n", + "Worker iter: 200, fitness 26.399505899908867\n", + "Worker iter: 200, fitness 26.399505899908867\n", + "Worker iter: 200, fitness 26.399505899908867\n", + "Worker iter: 200, fitness 26.399505899908867\n", + "Duration: 52.50534506299937 s\n", + "f1 = 0.4623, mu2 = 0.5879, a3 = 0.9338, \n", + " fun: 26.399505899908867\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 202\n", - " nit: 19\n", + " nfev: 1744\n", + " nit: 57\n", " success: True\n", - " x: array([0.0030983])\n", + " x: array([0.46226605, 0.58793613, 0.9338263 ])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_iSPN_np1/figures\n", + "Creating figures directory networks/scan_FS_to_dSPN_f1_mu2_a3/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0010222949786111712 seconds\n", - "Created connection matrix 0.0015480470028705895 seconds\n", - "Created gap junction connection matrix 0.00037766798050142825 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0009028980002767639 seconds\n", + "Created connection matrix 0.006279903999711678 seconds\n", + "Created gap junction connection matrix 0.0004741490001833881 seconds\n", "Creating population dictionary\n", "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", + "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 249, at 0\n", - "Created distance histogram (optimised) in 0.0007848359819035977 seconds\n", - "Saving cache to networks/dSPN_to_iSPN_np1/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to iSPN (synapses)\n", + "n_synapses = 6655, at 0\n", + "Created distance histogram (optimised) in 0.006289830000241636 seconds\n", + "Saving cache to networks/scan_FS_to_dSPN_f1_mu2_a3/network-synapses.hdf5-cache\n", + "Plotting connection probability FS to dSPN (synapses)\n", "Centering in None : Keeping 75/75\n", "Counting connections\n", "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.05543478260869565\n", - "P(d<0.0001) = 0.049834731756928555\n" + "P(d<0.0001) = 0.8480492813141683\n", + "P(d<0.00015) = 0.7494949494949495\n", + "P(d<0.00025) = 0.46995636119503187\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/dSPN_to_iSPN_np1/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_dSPN_f1_mu2_a3/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 239 connections\n" + "Plotting 1549 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/dSPN_to_iSPN_np1/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", + "Wrote networks/scan_FS_to_dSPN_f1_mu2_a3/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", + "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_iSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np2/network-config.json\n", + "Writing networks/scan_FS_to_dSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_dSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_dSPN_f1_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 31/125 (150 neurons)\n", - "Processing hyper voxel : 36/125 (148 neurons)\n", - "Processing hyper voxel : 32/125 (146 neurons)\n", - "Processing hyper voxel : 37/125 (139 neurons)\n", - "Processing hyper voxel : 56/125 (124 neurons)\n", - "Processing hyper voxel : 61/125 (108 neurons)\n", - "Processing hyper voxel : 57/125 (87 neurons)\n", - "Processing hyper voxel : 6/125 (87 neurons)\n", - "Processing hyper voxel : 11/125 (74 neurons)\n", - "Processing hyper voxel : 62/125 (71 neurons)\n", - "Processing hyper voxel : 7/125 (64 neurons)\n", - "Processing hyper voxel : 30/125 (60 neurons)\n", - "Processing hyper voxel : 35/125 (56 neurons)\n", - "Processing hyper voxel : 26/125 (43 neurons)\n", - "Processing hyper voxel : 12/125 (40 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 55/125 (26 neurons)\n", - "Processing hyper voxel : 60/125 (21 neurons)\n", - "Processing hyper voxel : 41/125 (19 neurons)\n", - "Processing hyper voxel : 5/125 (17 neurons)\n", - "Processing hyper voxel : 51/125 (13 neurons)\n", - "Processing hyper voxel : 1/125 (10 neurons)\n", - "Processing hyper voxel : 10/125 (9 neurons)\n", - "Processing hyper voxel : 42/125 (8 neurons)\n", - "Processing hyper voxel : 2/125 (7 neurons)\n", - "Processing hyper voxel : 33/125 (7 neurons)\n", - "Processing hyper voxel : 66/125 (7 neurons)\n", - "Processing hyper voxel : 81/125 (7 neurons)\n", - "Processing hyper voxel : 52/125 (5 neurons)\n", - "Processing hyper voxel : 17/125 (5 neurons)\n", - "Processing hyper voxel : 25/125 (3 neurons)\n", - "Processing hyper voxel : 38/125 (3 neurons)\n", - "Processing hyper voxel : 16/125 (3 neurons)\n", - "Processing hyper voxel : 40/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 80/125 (2 neurons)\n", - "Processing hyper voxel : 63/125 (2 neurons)\n", - "Processing hyper voxel : 86/125 (2 neurons)\n", - "Processing hyper voxel : 13/125 (2 neurons)\n", - "Processing hyper voxel : 8/125 (2 neurons)\n", - "Processing hyper voxel : 58/125 (2 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 28/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 72238 out of total 72238 synapses\n", - "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Duration: 47.76176550099626 s\n", - "f1 = 0.0370, mu2 = 2.7764\n", - " fun: 1.2163845714624055\n", + "Processing hyper voxel : 50/216 (139 neurons)\n", + "Processing hyper voxel : 44/216 (131 neurons)\n", + "Processing hyper voxel : 86/216 (111 neurons)\n", + "Processing hyper voxel : 80/216 (101 neurons)\n", + "Processing hyper voxel : 49/216 (93 neurons)\n", + "Processing hyper voxel : 85/216 (85 neurons)\n", + "Processing hyper voxel : 43/216 (82 neurons)\n", + "Processing hyper voxel : 51/216 (72 neurons)\n", + "Processing hyper voxel : 79/216 (66 neurons)\n", + "Processing hyper voxel : 14/216 (58 neurons)\n", + "Processing hyper voxel : 45/216 (58 neurons)\n", + "Processing hyper voxel : 56/216 (53 neurons)\n", + "Processing hyper voxel : 87/216 (53 neurons)\n", + "Processing hyper voxel : 8/216 (45 neurons)\n", + "Processing hyper voxel : 81/216 (44 neurons)\n", + "Processing hyper voxel : 92/216 (34 neurons)\n", + "Processing hyper voxel : 55/216 (32 neurons)\n", + "Processing hyper voxel : 7/216 (31 neurons)\n", + "Processing hyper voxel : 13/216 (30 neurons)\n", + "Processing hyper voxel : 122/216 (24 neurons)\n", + "Processing hyper voxel : 91/216 (24 neurons)\n", + "Processing hyper voxel : 38/216 (22 neurons)\n", + "Processing hyper voxel : 57/216 (19 neurons)\n", + "Processing hyper voxel : 116/216 (18 neurons)\n", + "Processing hyper voxel : 15/216 (18 neurons)\n", + "Processing hyper voxel : 9/216 (16 neurons)\n", + "Processing hyper voxel : 121/216 (15 neurons)\n", + "Processing hyper voxel : 74/216 (15 neurons)\n", + "Processing hyper voxel : 37/216 (15 neurons)\n", + "Processing hyper voxel : 93/216 (14 neurons)\n", + "Processing hyper voxel : 48/216 (12 neurons)\n", + "Processing hyper voxel : 115/216 (12 neurons)\n", + "Processing hyper voxel : 42/216 (12 neurons)\n", + "Processing hyper voxel : 84/216 (11 neurons)\n", + "Processing hyper voxel : 2/216 (10 neurons)\n", + "Processing hyper voxel : 78/216 (10 neurons)\n", + "Processing hyper voxel : 20/216 (9 neurons)\n", + "Processing hyper voxel : 73/216 (9 neurons)\n", + "Processing hyper voxel : 75/216 (9 neurons)\n", + "Processing hyper voxel : 123/216 (8 neurons)\n", + "Processing hyper voxel : 1/216 (6 neurons)\n", + "Processing hyper voxel : 39/216 (6 neurons)\n", + "Processing hyper voxel : 117/216 (6 neurons)\n", + "Processing hyper voxel : 19/216 (4 neurons)\n", + "Processing hyper voxel : 21/216 (3 neurons)\n", + "Processing hyper voxel : 128/216 (3 neurons)\n", + "Processing hyper voxel : 97/216 (2 neurons)\n", + "Processing hyper voxel : 98/216 (2 neurons)\n", + "Processing hyper voxel : 52/216 (2 neurons)\n", + "Processing hyper voxel : 62/216 (2 neurons)\n", + "Processing hyper voxel : 36/216 (2 neurons)\n", + "Processing hyper voxel : 6/216 (2 neurons)\n", + "Processing hyper voxel : 3/216 (2 neurons)\n", + "Processing hyper voxel : 88/216 (2 neurons)\n", + "Processing hyper voxel : 127/216 (1 neurons)\n", + "Processing hyper voxel : 114/216 (1 neurons)\n", + "Processing hyper voxel : 61/216 (1 neurons)\n", + "Processing hyper voxel : 110/216 (1 neurons)\n", + "Processing hyper voxel : 109/216 (1 neurons)\n", + "Processing hyper voxel : 90/216 (1 neurons)\n", + "Processing hyper voxel : 82/216 (1 neurons)\n", + "Processing hyper voxel : 54/216 (1 neurons)\n", + "Processing hyper voxel : 46/216 (1 neurons)\n", + "Processing hyper voxel : 12/216 (1 neurons)\n", + "Processing hyper voxel : 111/216 (1 neurons)\n", + "Processing hyper voxel : 157/216 (1 neurons)\n", + "Read 15460 out of total 15460 synapses\n", + "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'FS': 1, 'dSPN': 2}\n", + "From hist_file: b'{\"FS$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 26.399505899908867\n", + "Worker iter: 100, fitness 26.399505899908867\n", + "Worker iter: 100, fitness 26.399505899908867\n", + "Worker iter: 100, fitness 26.399505899908867\n", + "Worker iter: 100, fitness 26.399505899908867Worker iter: 100, fitness 26.399505899908867\n", + "\n", + "Worker iter: 100, fitness 26.399505899908867\n", + "Worker iter: 100, fitness 26.399505899908867\n", + "Duration: 25.75282236699968 s\n", + "f1 = 0.4623, a3 = 0.9338, \n", + " fun: 26.520517512917824\n", " message: 'Optimization terminated successfully.'\n", " nfev: 923\n", " nit: 45\n", " success: True\n", - " x: array([0.03703223, 2.77635036])\n", + " x: array([0.46230371, 0.9337903 ])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_iSPN_np2/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.000832502992125228 seconds\n", - "Created connection matrix 0.001349421014310792 seconds\n", - "Created gap junction connection matrix 0.0003327509912196547 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0009104259997911868 seconds\n", + "Created connection matrix 0.006119210999713687 seconds\n", + "Created gap junction connection matrix 0.00012241199965501437 seconds\n", "Creating population dictionary\n", "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", + "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 539, at 0\n", - "Created distance histogram (optimised) in 0.0009154189901892096 seconds\n", - "Saving cache to networks/dSPN_to_iSPN_np2/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to iSPN (synapses)\n", + "n_synapses = 6658, at 0\n", + "Created distance histogram (optimised) in 0.006239571000151045 seconds\n", + "Saving cache to networks/scan_FS_to_dSPN_f1_a3/network-synapses.hdf5-cache\n", + "Plotting connection probability FS to dSPN (synapses)\n", "Centering in None : Keeping 75/75\n", "Counting connections\n", "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.057608695652173914\n", - "P(d<0.0001) = 0.03966437833714721\n" + "P(d<0.0001) = 0.8501026694045175\n", + "P(d<0.00015) = 0.7515151515151515\n", + "P(d<0.00025) = 0.4709634105404498\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/dSPN_to_iSPN_np2/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_dSPN_f1_a3/figures/Network-distance-dependent-connection-probability-FS-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 180 connections\n" + "Plotting 1552 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/dSPN_to_iSPN_np2/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Wrote networks/scan_FS_to_dSPN_f1_a3/figures/Network-number-of-synapses-from-FS-to-dSPN-per-cell.png\n", + "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_iSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np3/network-config.json\n", + "Writing networks/scan_FS_to_iSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_iSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_iSPN_f1_mu2_a3_distdep/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 31/125 (150 neurons)\n", - "Processing hyper voxel : 36/125 (148 neurons)\n", - "Processing hyper voxel : 32/125 (146 neurons)\n", - "Processing hyper voxel : 37/125 (139 neurons)\n", - "Processing hyper voxel : 56/125 (124 neurons)\n", - "Processing hyper voxel : 61/125 (108 neurons)\n", - "Processing hyper voxel : 57/125 (87 neurons)\n", - "Processing hyper voxel : 6/125 (87 neurons)\n", - "Processing hyper voxel : 11/125 (74 neurons)\n", - "Processing hyper voxel : 62/125 (71 neurons)\n", - "Processing hyper voxel : 7/125 (64 neurons)\n", - "Processing hyper voxel : 30/125 (60 neurons)\n", - "Processing hyper voxel : 35/125 (56 neurons)\n", - "Processing hyper voxel : 26/125 (43 neurons)\n", - "Processing hyper voxel : 12/125 (40 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 55/125 (26 neurons)\n", - "Processing hyper voxel : 60/125 (21 neurons)\n", - "Processing hyper voxel : 41/125 (19 neurons)\n", - "Processing hyper voxel : 5/125 (17 neurons)\n", - "Processing hyper voxel : 51/125 (13 neurons)\n", - "Processing hyper voxel : 1/125 (10 neurons)\n", - "Processing hyper voxel : 10/125 (9 neurons)\n", - "Processing hyper voxel : 42/125 (8 neurons)\n", - "Processing hyper voxel : 2/125 (7 neurons)\n", - "Processing hyper voxel : 33/125 (7 neurons)\n", - "Processing hyper voxel : 66/125 (7 neurons)\n", - "Processing hyper voxel : 81/125 (7 neurons)\n", - "Processing hyper voxel : 52/125 (5 neurons)\n", - "Processing hyper voxel : 17/125 (5 neurons)\n", - "Processing hyper voxel : 25/125 (3 neurons)\n", - "Processing hyper voxel : 38/125 (3 neurons)\n", - "Processing hyper voxel : 16/125 (3 neurons)\n", - "Processing hyper voxel : 40/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 80/125 (2 neurons)\n", - "Processing hyper voxel : 63/125 (2 neurons)\n", - "Processing hyper voxel : 86/125 (2 neurons)\n", - "Processing hyper voxel : 13/125 (2 neurons)\n", - "Processing hyper voxel : 8/125 (2 neurons)\n", - "Processing hyper voxel : 58/125 (2 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 28/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 72238 out of total 72238 synapses\n", - "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Duration: 92.32307919498999 s\n", - "f1 = 0.0389, mu2 = 2.5539, a3 = 0.7787\n", - " fun: 1.1413023784371732\n", + "Processing hyper voxel : 50/216 (139 neurons)\n", + "Processing hyper voxel : 44/216 (131 neurons)\n", + "Processing hyper voxel : 86/216 (111 neurons)\n", + "Processing hyper voxel : 80/216 (101 neurons)\n", + "Processing hyper voxel : 49/216 (93 neurons)\n", + "Processing hyper voxel : 85/216 (85 neurons)\n", + "Processing hyper voxel : 43/216 (82 neurons)\n", + "Processing hyper voxel : 51/216 (72 neurons)\n", + "Processing hyper voxel : 79/216 (66 neurons)\n", + "Processing hyper voxel : 14/216 (58 neurons)\n", + "Processing hyper voxel : 45/216 (58 neurons)\n", + "Processing hyper voxel : 56/216 (53 neurons)\n", + "Processing hyper voxel : 87/216 (53 neurons)\n", + "Processing hyper voxel : 8/216 (45 neurons)\n", + "Processing hyper voxel : 81/216 (44 neurons)\n", + "Processing hyper voxel : 92/216 (34 neurons)\n", + "Processing hyper voxel : 55/216 (32 neurons)\n", + "Processing hyper voxel : 7/216 (31 neurons)\n", + "Processing hyper voxel : 13/216 (30 neurons)\n", + "Processing hyper voxel : 122/216 (24 neurons)\n", + "Processing hyper voxel : 91/216 (24 neurons)\n", + "Processing hyper voxel : 38/216 (22 neurons)\n", + "Processing hyper voxel : 57/216 (19 neurons)\n", + "Processing hyper voxel : 116/216 (18 neurons)\n", + "Processing hyper voxel : 15/216 (18 neurons)\n", + "Processing hyper voxel : 9/216 (16 neurons)\n", + "Processing hyper voxel : 121/216 (15 neurons)\n", + "Processing hyper voxel : 74/216 (15 neurons)\n", + "Processing hyper voxel : 37/216 (15 neurons)\n", + "Processing hyper voxel : 93/216 (14 neurons)\n", + "Processing hyper voxel : 48/216 (12 neurons)\n", + "Processing hyper voxel : 115/216 (12 neurons)\n", + "Processing hyper voxel : 42/216 (12 neurons)\n", + "Processing hyper voxel : 84/216 (11 neurons)\n", + "Processing hyper voxel : 2/216 (10 neurons)\n", + "Processing hyper voxel : 78/216 (10 neurons)\n", + "Processing hyper voxel : 20/216 (9 neurons)\n", + "Processing hyper voxel : 73/216 (9 neurons)\n", + "Processing hyper voxel : 75/216 (9 neurons)\n", + "Processing hyper voxel : 123/216 (8 neurons)\n", + "Processing hyper voxel : 1/216 (6 neurons)\n", + "Processing hyper voxel : 39/216 (6 neurons)\n", + "Processing hyper voxel : 117/216 (6 neurons)\n", + "Processing hyper voxel : 19/216 (4 neurons)\n", + "Processing hyper voxel : 21/216 (3 neurons)\n", + "Processing hyper voxel : 128/216 (3 neurons)\n", + "Processing hyper voxel : 97/216 (2 neurons)\n", + "Processing hyper voxel : 98/216 (2 neurons)\n", + "Processing hyper voxel : 52/216 (2 neurons)\n", + "Processing hyper voxel : 62/216 (2 neurons)\n", + "Processing hyper voxel : 36/216 (2 neurons)\n", + "Processing hyper voxel : 6/216 (2 neurons)\n", + "Processing hyper voxel : 3/216 (2 neurons)\n", + "Processing hyper voxel : 88/216 (2 neurons)\n", + "Processing hyper voxel : 127/216 (1 neurons)\n", + "Processing hyper voxel : 114/216 (1 neurons)\n", + "Processing hyper voxel : 61/216 (1 neurons)\n", + "Processing hyper voxel : 110/216 (1 neurons)\n", + "Processing hyper voxel : 109/216 (1 neurons)\n", + "Processing hyper voxel : 90/216 (1 neurons)\n", + "Processing hyper voxel : 82/216 (1 neurons)\n", + "Processing hyper voxel : 54/216 (1 neurons)\n", + "Processing hyper voxel : 46/216 (1 neurons)\n", + "Processing hyper voxel : 12/216 (1 neurons)\n", + "Processing hyper voxel : 111/216 (1 neurons)\n", + "Processing hyper voxel : 157/216 (1 neurons)\n", + "Read 15460 out of total 15460 synapses\n", + "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", + "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 24.347639155131862\n", + "Worker iter: 100, fitness 24.51231100410904\n", + "Worker iter: 100, fitness 24.690358818749917\n", + "Worker iter: 100, fitness 24.522505770000954\n", + "Worker iter: 100, fitness 24.42627035649141\n", + "Worker iter: 100, fitness 24.464411394042937\n", + "Worker iter: 100, fitness 24.44622317528906\n", + "Worker iter: 100, fitness 24.218571695465133\n", + "Worker iter: 200, fitness 24.25098029190705\n", + "Worker iter: 200, fitness 24.145568965037402\n", + "Worker iter: 200, fitness 24.008317978361795\n", + "Worker iter: 200, fitness 24.008317978361795\n", + "Worker iter: 200, fitness 24.006349301782507\n", + "Worker iter: 200, fitness 24.052879448253385\n", + "Worker iter: 200, fitness 24.00875138157671\n", + "Worker iter: 200, fitness 24.041549383674383\n", + "Worker iter: 300, fitness 24.002291674630353\n", + "Worker iter: 300, fitness 24.002291674630353\n", + "Worker iter: 300, fitness 24.002291674630353\n", + "Duration: 84.65571150400046 s\n", + "f1 = 0.3530, mu2 = 0.8232, a3 = 0.8532, (exp(-(0.5*d/60e-6)**2))\n", + " fun: 24.002291674630353\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 2044\n", - " nit: 67\n", + " nfev: 2404\n", + " nit: 79\n", " success: True\n", - " x: array([0.0389254 , 2.55386647, 0.77867962])\n", + " x: array([0.35296781, 0.8232018 , 0.85317553])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_iSPN_np3/figures\n", + "Creating figures directory networks/scan_FS_to_iSPN_f1_mu2_a3_distdep/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0008420450030826032 seconds\n", - "Created connection matrix 0.001334420987404883 seconds\n", - "Created gap junction connection matrix 0.0003528340021148324 seconds\n", + "Synapse row 0 - 0.0 % time: 0.000893354000254476 seconds\n", + "Created connection matrix 0.003038681999896653 seconds\n", + "Created gap junction connection matrix 0.0005131660000188276 seconds\n", "Creating population dictionary\n", "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", + "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 502, at 0\n", - "Created distance histogram (optimised) in 0.0009105030039791018 seconds\n", - "Saving cache to networks/dSPN_to_iSPN_np3/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to iSPN (synapses)\n", + "n_synapses = 2068, at 0\n", + "Created distance histogram (optimised) in 0.0026499850000618608 seconds\n", + "Saving cache to networks/scan_FS_to_iSPN_f1_mu2_a3_distdep/network-synapses.hdf5-cache\n", + "Plotting connection probability FS to iSPN (synapses)\n", "Centering in None : Keeping 75/75\n", "Counting connections\n", "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.058695652173913045\n", - "P(d<0.0001) = 0.037121789982201885\n" + "P(d<0.0001) = 0.5852156057494866\n", + "P(d<0.00015) = 0.4535353535353535\n", + "P(d<0.00025) = 0.23162134944612287\n" ] }, { "data": { - 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\n", + "image/png": 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/dSPN_to_iSPN_np3/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_iSPN_f1_mu2_a3_distdep/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 169 connections\n" + "Plotting 734 connections\n" ] }, { "data": { - "image/png": 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9/EfaxFSd71nVuzW1pUqVKmjdurW8n5iYqLG7+DRt8uTJKFKkCICUf8RMmzZNyxER5Q0mUlSopJ3Tc/PmTZXrqfKIGHU4Ozsr7EdFReVqfzllZmamkDzt378fx48f12JEGatQoYK8fe3aNZXrfVo2s2Us8pOC8ttxdHTEoEGD5P2VK1dqZaFRorzGRIoKlbp168rbQUFBiIyMzLJOYmIiAgMDczGq9A+pzc8TcYcMGaJwa35uj0qlXSRTlRXmAaB+/fry9sWLF1V62C4A7Nu3T952cHBA8eLFVYxSewrSb2fChAny5dLExERMmjRJyxER5T4mUlSotGvXTt5OSEjA+vXrs6yzY8eOXL9769SpUwr75cuXz9X+1GFgYABvb295/9SpUwoLYGpa2nlKqo62tG3bVt7++PEjVq5cmWWdkJAQHDhwIMM28rO0vx19ff0s15/SJltbW/z888/y/qZNmxRWoCcqjJhIUaHSqFEjVK5cWd6fOnUqwsLCMi0fGRmp8ojLuXPnMGXKlGxfWjl37px8aziQclkqv19S6tOnj8JdXWmfq6ZpaR/touol1oYNGyqsCTVjxgw8fvw40/LJycn48ccfkZiYKB9Lexkqt/n5+WHBggXpRpeysn37doVFZt3c3HK0cGZeGjVqlDxqlpycnK1HMBEVREykqNBJe4v4q1ev0LZtW4WVnNOea9++PR4+fKjSw1qjo6MxefJklClTBiNGjFBpbs6WLVvQqlUrhRXNR48ereI70R5dXV2FycK5uQJ42st0mzdvVnlOVtpb7CMjI9GqVSvcvXs3Xbm4uDh4eXkpjKr16tULNWrUUCPq7Hn16hV++uknlCtXDpMmTcpy7lBSUhIWL16cbgHXgvDbsbCwwLhx4+T9vF49niivcUFOKnQ6dOgADw8PbN68GUDKHBpnZ2d4eHjAxcUFOjo6uH79Onx9ffHu3TsYGhpi6NChmDNnjkrtv3v3DvPmzcO8efPg6OiIhg0bwtnZGdbW1jAyMkJkZCTu3LmDAwcOICQkRKFu69at8cMPP2j8PeeGLl26wMXFBZcuXcrVfnr06IHJkycjISEBMTExcHNzg42NDezs7OS1iYCUZ+OVKFFC3m/VqhWGDh2Kf/75B0DKnZA1a9ZEx44d0aBBAxgZGeH+/fvYtGmTQiJdtmxZLFiwIFffU2ZevHiBadOmYdq0aahUqRIaNmyISpUqwdraGvr6+nj37h1u3rwJf3//dAnIwIEDFZ4VmJ8NGzYM8+fP5xII9FlgIkWF0po1a/D27VscPnwYQMrCiytXrkw3l6ZIkSL4999/FS75ZMbQ0BCSJCmsNv348WOll5TS8vT0xPLly1Ua/coPJEnCjBkz0KpVq1ztx9HREQsWLMDQoUPlkbvXr1+nW6ogISEhXd2FCxciOTkZS5YsAZAy+uTr6wtfX98M+6pcuTIOHTqU58seZLRo6L1791R6RI2uri5GjBhRoBa5NDIywqRJk/L08imRthSM/0cnyiYDAwPs378ff/zxh8LaUmnVrVsXgYGBKj//7ssvv8Tz58/xzz//oF27dir9MTY0NES3bt1w7NgxrFmzBgYGBtl5G1rn7u4ONze3XO9n4MCBuHjxIoYMGYKaNWvC0tJSYTQqM5IkYfHixdi3b5/S58VZW1tj6tSpuHz5co4e7KyuHj164MGDB5g1axZatGih0jwnc3Nz9O3bFxcvXsRff/0FSZLyIFLN6d+/v8IyFUSFlSTS/vOaqBCKj4/HkSNH8ODBA3z48AElSpRArVq1svVQ44wkJyfjwYMHuHfvHp48eYKoqCh8/PgRZmZmKFq0KJydnVG1atUClzwVZI8ePcKZM2cQGhqK+Ph42NraonLlymjQoEG+Ggn8+PGjPCL1/PlzREVFQQgBMzMz2NjYoFq1aqhcubLCquZElD8xkSIiIiLKofzzTzQiIiKiAoaJFBEREVEOMZEiIiIiyiEmUkREREQ5xESKiIiIKIeYSBERERHlEBMpIiIiohxiIkVERESUQ0ykiIiIiHKIiRQRERFRDjGRIiIiIsohJlJEREREOcREioiIiCiHmEgRERER5RATKSIiIqIcYiJFRERElENMpIiIiIhyiIkUERERUQ4xkSIiIiLKISZSRERERDnERIqIiIgoh5hIEREREeUQEykiIiKiHGIiRURERJRDTKSIsiCEwIABA1C0aFFIkoQrV65oOyQiIsonmEgRZWH//v3w8fHBnj178PLlS1SrVg3Hjx/HN998gxIlSkCSJOzatStPYgkMDISLiwsMDAxQoUIF+Pj4ZFnn2rVraNKkCQwNDeHg4IC//vpL4fyOHTtQp04dWFpawsTEBDVr1sS6desUysTExGDYsGEoVaoUjIyM4OzsjKVLlyqUefDgATp27AgbGxuYm5ujW7duCAsLU/s9a8KjR4/Qv39/lC1bFkZGRihfvjy8vb2RkJCQa32Gh4fjxx9/hJOTE4yMjFC6dGkMHz4ckZGRSuv16dMHkiQpvFq1aqVQpkyZMunK/Pnnn/L5u3fvolmzZrCzs4OhoSHKlSuHiRMnIjExUS6TmJiIqVOnonz58jA0NESNGjWwf/9+zX4IKsaSG548eYK2bdvC2NgYtra2GD16ND5+/Jhp+cDAwHSfaeorKCgIADB58uQMz5uYmCi0NX/+fPl7d3BwwC+//IK4uDj5fEbfnyRJGDp0aO58GJS7BBEptXDhQlG6dGmFY/7+/mLChAlix44dAoDYuXNnrsfx8OFDYWxsLEaMGCFu3bolFi5cKHR1dcX+/fszrRMZGSns7OxEz549xY0bN4Svr68wMjISy5Ytk8sEBASIHTt2iFu3bong4GAxf/78dO16eXmJ8uXLi4CAABESEiKWLVsmdHV1xX///SeEECImJkaUK1dOdOzYUVy7dk1cu3ZNtG/fXtStW1ckJSXl3oeion379ok+ffqIAwcOiAcPHoj//vtP2NraipEjR+Zan9evXxedOnUSfn5+Ijg4WBw5ckRUrFhRdO7cWWm93r17i1atWomXL1/Kr/DwcIUyjo6OYurUqQplYmJi5PMPHjwQq1atEleuXBGPHj2S3+/48ePlMmPGjBElSpQQe/fuFQ8ePBCLFy8WhoaG4tKlSxr9HFSJRdM+fvwoqlWrJlq0aCEuX74s/P39hbW1tdI+4+PjFT7Ply9fih9++EGULVtWJCcnCyGEiI6OTlfG2dlZ9O7dW25nw4YNwsDAQGzYsEGEhISIAwcOiOLFi4tffvlFLvPq1SuFNg4dOiQAiICAgNz6SCgXMZEiUqJ3794CgPxydHRMVyavEqkxY8aIqlWrKhzz8PAQ7u7umdZZvHixsLKyEvHx8fKxsWPHCicnJ6V91apVS0ycOFHer1q1qpg6dapCGRcXFzFhwgQhhBAHDhwQOjo6IjIyUj4fEREhJEkShw4dyvrN/b/Vq1cLCwsLsXv3blGpUiVhZGQkOnfuLN6/fy98fHyEo6OjsLS0FD/++KP4+PGjXC+j78DCwkKsXr06077++usvUbZsWZVj04QtW7aIIkWKiMTExEzL9O7dW7Rv315pO46OjmLevHnZ6vuXX34RX375pbxfvHhxsWjRIoUynTp1Ej179sxWu3PmzBHVqlUTxsbGolSpUmLw4MEiOjo6W7Fomr+/v9DR0RGhoaHysSVLlghzc3OF/xaUSUhIEDY2Nul+92lduXJFABDHjx+Xjw0dOlR89dVXCuVGjBghGjdunGk7P/30kyhfvrycsFHBwkt7REr8/fffmDp1KkqVKoWXL1/KQ/w5ceLECZiamip9bdiwIdP6Z86cQYsWLRSOubu748yZM0rruLq6okiRIgp17t69i3fv3qUrL4TAkSNHcPfuXbi6usrHGzVqBD8/Pzx//hxCCAQEBODevXto2bIlACA+Ph6SJMHAwECuY2hoCB0dHZw8eTLrDyeN2NhYLFiwAJs2bcL+/fsRGBiIjh07wt/fH/7+/li3bh2WLVuGbdu2ZavdT0VGRqJo0aJKy7Ru3Vrp91W1atVs92lubg49PT2l5QIDA2FrawsnJycMHjwYb9++TVfmzz//RLFixVCrVi3MmjVL6WWr4OBg7N+/H25ubvKx+Ph4GBoaKpQzMjLK9velo6ODBQsW4ObNm1izZg2OHj2KMWPGZCuWjGT138qgQYMyrXvmzBlUr14ddnZ28jF3d3dERUXh5s2bKr0vPz8/vH37Fn379s20zL///otKlSqhSZMm8rFGjRrh4sWLOH/+PADg4cOH8Pf3R5s2bTJsIyEhAevXr0e/fv0gSZJKsVE+o04W1rBhQ7FmzRrx4cMHzaR1RPnQvHnzMhyJSgUVR6RiY2PF/fv3lb6ioqIyrV+xYkUxY8YMhWN79+4VAERsbGyGdb7++msxYMAAhWM3b94UAMStW7fkYxEREcLExETo6ekJAwMDsXLlSoU6cXFxwtPTUwAQenp6okiRImLNmjXy+VevXglzc3Px008/iffv34uYmBgxbNgwASBd/8qsXr1aABDBwcHysYEDBwpjY2OFUQ53d3cxcOBAeT+j70DZiNT9+/eFubm5WL58udJ4nj17pvT7evTokcrv7fXr16J06dLi119/VVrO19dX/Pfff+LatWti586dokqVKqJu3boKI3Bz5swRAQEB4urVq2LJkiXC0tJS4dJRqoYNGwoDAwP5e0h7mfW7774Tzs7O4t69eyIpKUkcPHhQGBkZiSJFiqj8njKydetWUaxYsWzFkpGs/lsJCwvLtK6Xl5do2bKlwrH3798LAMLf31+l99G6dWvRunXrTM9/+PBBWFlZiZkzZ6Y79/fffwt9fX2hp6cnAIhBgwZl2s7mzZuFrq6ueP78uUpxUf6jViIlSZLQ0dERVlZW4qeffhI3b97UVFxE+YamEil15WYilZSUJO7fvy8uX74sZs+eLSwsLBTma8yaNUtUqlRJ+Pn5iatXr4qFCxcKU1NThct2Bw4cEOXKlROSJAldXV3Rq1cv4eLiovSPyKdWr14tjI2NFY5NmjRJODs7Kxzz9PQUHTt2lPezk0g9e/ZMlC9fXvTv31/luNQVGRkp6tWrJ1q1aiUSEhKyVffBgwcCgDh8+HCmZVauXCn09PREXFycwvEnT56Imzdvio0bN4qSJUsq/NF/9eqVaN++vdDR0RG6urqiUqVKYsiQIcLQ0DBb8R06dEh89dVXokSJEsLU1FQYGhoKAOL9+/cqx6Jp6iZST58+FTo6OmLbtm2Zltm4caPQ09NTuHwoRMqcQzs7O7FixQpx7do1sWPHDuHg4JDpJcKWLVuKdu3aqfCuKL9SO5FKfeno6AgdHR3x5ZdfivXr16t8HZoov9NUInX8+HFhYmKi9LV+/fpM6zdp0kT89NNPCsdWrVolzM3NM63z/fffp5tvc/ToUQEg3QTmtPr37y//IYqNjRX6+vpiz5496cpkND/r9evX4t27d0IIIezs7MRff/2VaT+fSp0jlZa3t7eoUaOGwrFP5xFJkiR27NihUMbY2DhdIvX8+XNRsWJF8f3336s0Cb5Vq1ZKv69PE7yMREVFiYYNG4rmzZvnePTe2tpaLF26NNPzN27cEADEnTt3Mi2zbt06YWRkpDCyJUTKyMqzZ89EcnKyGDNmjErvKVVISIgwMDAQP//8szhz5oy4e/euWLlypQAg/wayE0taWf23knZE8lO//fZbut/Mw4cPBQCVJtNPnTpV2NjYKE16v/rqK9GhQ4d0x7/88ksxatQohWOp7/fT39yjR4+Ejo6O2LVrV5YxUf6l/EJ9Fh4+fIjly5fDx8cHoaGhAIDTp0/j9OnT+Omnn9C7d294eXmhcuXK6nRDVCjUqVMnyzWo0s7p+FTDhg3h7++vcOzQoUNo2LCh0joTJkxAYmIi9PX15TpOTk6wsrLKtF5ycjLi4+MBpNwmn5iYCB0dxSmVurq6SE5OTlfX2toaAHD06FG8evUK3377bab9aIqNjQ1evnwp79+/fx+xsbEKZZ4/f45mzZqhdu3aWL16dbr3k5F///0XHz58yPR86meamaioKLi7u8PAwAB+fn7p5iSp4tmzZ3j79i2KFy+eaZkrV65AR0cHtra2mZZJTk5GYmIikpOToaurKx83NDREyZIlkZiYiO3bt6Nbt24qx3bx4kUkJydjzpw58ue5ZcuWLOtlFsun70kZc3PzTM81bNgQv//+O169eiV/JocOHYK5uTmcnZ2VtiuEwOrVq+Hp6Znp9xsSEoKAgAD4+fmlOxcbG5vhfyupbae1evVq2Nraom3btkpjonxOE9lYYmKi2LZtm2jZsqXQ0dFJN0rl5uYmfH19sz2kTZQfZDQiFR0dLS5fviwuX74sAIi5c+eKy5cvi8ePH+daHKnLH4wePVrcvn1b/PPPP+mWKVi4cKHCHUMRERHCzs5OfP/99+LGjRti06ZNwtjYWGH5gxkzZoiDBw+KBw8eiFu3bonZs2cLPT09sWLFCrmMm5ubqFq1qggICBAPHz4Uq1evFoaGhmLx4sVymVWrVokzZ86I4OBgsW7dOlG0aFExYsSIbL3HnI5Ide/eXVSpUkVcunRJBAUFia+++kro6+vLI1LPnj0TFSpUEM2bNxfPnj1TuPU8t0RGRor69euL6tWri+DgYIU+047EODk5yaNp0dHRYtSoUeLMmTMiJCREHD58WLi4uIiKFSvKl+1Onz4t5s2bJ65cuSIePHgg1q9fL2xsbISnp6fc5vr168XmzZvFrVu3xIMHD8TmzZtFiRIlFO7IO3v2rNi+fbt48OCBOH78uPjqq69E2bJllY4kfSr1rrX58+eLBw8eiLVr14qSJUsqjEipEoumpS5/0LJlS3HlyhWxf/9+YWNjo7D8wblz54STk5N49uyZQt3Dhw8LAOL27duZtj9x4kRRokSJDEfUvL29hZmZmfD19RUPHz4UBw8eFOXLlxfdunVTKJeUlCRKly4txo4dq+a7JW3T+PIHDx8+FOPGjRP29vbpEiobGxsxevRoce/ePU13S5RrMkqkAgICFJZFSH2lXU8mNwQEBIiaNWuKIkWKiHLlyqW7dOXt7Z0u1qtXr4ovv/xSGBgYiJIlS4o///xT4fyECRNEhQoVhKGhobCyshINGzYUmzZtUijz8uVL0adPH1GiRAlhaGgonJycxJw5cxRu1x47dqyws7MT+vr6omLFiunOC5GSkCn7jHKaSD1//ly0bNlSmJiYiIoVKwp/f3+FOVKpk9gzeuWWzH4jAERISIhcDoAcZ2xsrGjZsqWwsbER+vr6wtHRUXh5eSnMw7l48aKoX7++sLCwEIaGhqJKlSpixowZCvOjNm3aJFxcXISpqal8CXLGjBkKlxYDAwNFlSpVhIGBgShWrJj4/vvv0014Tv3clJk7d64oXry4MDIyEu7u7mLt2rUKiZQqseSGR48eidatWwsjIyNhbW0tRo4cqbDsROr3k/a7ECJlEn6jRo0ybTcpKUmUKlUq05sGEhMTxeTJk0X58uWFoaGhcHBwEEOGDEmXoB44cEAAEHfv3s3xe6T8QRLik7FGDfn48SN27dqFFStW4PDhw/KQZurtnU2bNsWgQYPQsWPHLG8FJqLCwdHREVOmTEGfPn20HQqpwNvbG8eOHUNgYKC2QyHKt3ItkUrr4cOH+Pfff7F69Wr5kRGpCZWNjQ369++PwYMHo1SpUrkdChFpyc2bN/Hdd9/J83ko/6tXrx4WLVqEevXqaTsUonwrTxIpADh+/Dj++ecfbN26VU6i0o5S6evrY+DAgfj9999hamqaFyERERERqSVXE6l3795hzZo1WL58Oe7evQvgf8lTuXLl0Lx5c+zatQuvX79OCUaS4OTkhFOnTim9o4iIiIgoP8iV8fXjx4+jV69eKFmyJEaOHIm7d+9CCAFJkvDNN9/A398f9+/fx7Jly/Ds2TNs2LABVapUgRACd+/exYwZM3IjLCIiIiKN0tiIVHh4uDz6dO/ePQD/G32ys7ND//79MWDAAJQuXTrD+gkJCfjqq69w+vRpVKxYUR7BIiIiIsqv1L5d7tixY1i+fDl27twpL+CXmkC5urpi8ODB6Ny5c5Z35hUpUgQDBw7E6dOn8fjxY3XDKvCEEIiOjoaZmRkfZElERJRPqZVIVa5cGffv3wfwv+TJ3Nwc33//PQYPHpzlCrKfSl2BNjExUZ2wCoXo6GhYWFjIT4snIiKi/EetRCr1Eh4A1KhRA0OGDEHPnj1hbGyco/aKFi0KV1dXjsAQERFRgaDWHClDQ0N4eHhg8ODBaNCggSbj+uxFRUVxRIqIiCifU2tE6sWLFyhatKimYiEiIiIqUNRKpGJiYhATEwNbW9tsPdU8Pj5eXuE8s7v4iIiIiPI7tdaRKlOmDMqVK4eDBw9mq15gYKBcl4iIiKigUntBTnWWocqjp9MQERER5Qo+OZSIiIgoh7SSSEVHRwNAjpdJICIiIsoPtJJIHT58GABQvHhxbXRPREREpBEq37V37NgxHDt2LMNzmzZtwpUrV5TWF0Lg/fv3uHTpEgICAiBJEho1apStYImIiIjyE5UTqcDAQEydOjXdcSEENm/enK1OhRDQ19fH8OHDs1WPiIiIKD/J1jpSmd1ll92771xcXDBjxgy4uLhkqx4RUUHx7VJtR5D/+Q3SdgRE6lM5kerTpw+aNm0q7wsh8NVXX0GSJEybNg2NGzdWWl9HRwempqYoW7YsLC0tcxovERERUb6hciLl6OgIR0fHDM9Vq1YNbm5uGguKiIiIqCBQ6xExAQEBAFISKSIiIqLPjVqJFEehiIiI6HPGlc2JiIiIcoiJFBEREVEOqXRpT1dXFwAgSRI+fvyY7nhOfdoeERERUUGiUiKlqfWjiIiIiAoTlRIpV1dXSJKk8nFt8fPzw7p16xAUFITQ0FCYm5ujQoUK6NixIwYOHAhzc/Ncj6FPnz5Ys2aNvO/t7Y3Jkyfner9ERESU91RKpAIDA7N1PK/FxMSgZ8+e8PPzUzj++vVrvH79GmfOnMHChQuxZcsWNGjQINfi2Ldvn0ISRURERIWbWssf5AdJSUno2rUr9u/fDwCws7ODl5cXnJ2dER4eDl9fX5w6dQpPnz5FmzZtcOrUKVSpUkXjcURFRWHgwIEAABMTE7x//17jfRAREVH+UuDv2vv333/lJMrZ2RlXr17FtGnT8N1332Ho0KE4efIkRo4cCQB49+6dnOxo2ujRo/H06VM4ODjkWh9ERESUvxToRCopKQlTpkyR99etWwc7O7t05WbOnImaNWsCAE6cOIGDBw9qNI6jR49ixYoVAIDFixfDzMxMo+0TERFR/pTriVRoaCh++uknuLi44IsvvkDv3r1x/fp1jbR9/PhxvHz5EkDKKusuLi4ZltPV1cXw4cPlfV9fX430DwCxsbHw8vKCEAIeHh5o166dxtomIiKi/E2tROrEiRMwNzeHhYUFTp48me58aGgo6tati0WLFuHq1au4efMm1q9fj7p162pkVGjfvn3ydps2bZSWbd26dYb11DV+/Hg8fPgQRYsWxd9//62xdomIiCj/UyuR2rVrF2JiYmBlZYUvv/wy3flRo0bh+fPnEEIovBISEtCrVy9ERkaq073CyFbdunWVlrW3t4eDgwMAICwsDK9fv1arbwA4ffo0Fi1aBACYPXt2hpcViYiIqPBSK5G6cOECJEnC119/ne7c27dvsWXLFkiShC+++AKXL19GREQEfv/9d/n86tWr1eked+/elbfLli2bZfm0ZdLWzYm4uDj069cPycnJaN68Ofr27atWe/Hx8YiKilJ4ERERUf6mViKVOj+pRo0a6c7t3btXfvzLv//+ixo1asDc3Bzjx49H48aNAQD+/v7qdI+IiAh529raOsvyxYoVy7BuTkyaNAl3796FkZERli1bplZbAPDHH3/AwsJCfqWOnhEREVH+pVYi9fbtWwCAra1tunPHjx8HAJQrVw516tRROPftt99CCIGbN2+q0z1iYmLkbUNDwyzLGxkZydvR0dE57jcoKAhz584FAEyZMgXly5fPcVupxo8fj8jISPn19OlTtdskIiKi3KXWgpypyUhycnK6c6dPn4YkSWjWrFm6cyVLlgQAhIeHq9O9ViQkJKBfv35ISkqCi4sLRowYoZF2DQwMYGBgoJG2iIiIKG+oNSJlamoKAHj16pXC8VevXuHOnTsAgEaNGqWrp6urC0D9hx6n9g+kzFnKyocPH+TtnK71NH36dNy4cQO6urpYsWKF/F6IiIjo86NWIlWhQgUAwKFDhxSO79q1S95OnQ+VVuodc1ZWVup0D0tLS3n7zZs3WZZPvRT5aV1VXb16FX/++ScAYMSIEZmuW0VERESfB7Uu7TVr1gwXLlzAgQMH4O/vjzZt2uDJkyf4448/AADly5dHxYoV09W7du0agJT5U+pwcnJCSEgIACAkJARlypRRWj61bGrd7PLx8UFiYiJ0dHSgr6+P6dOnZ1gudX5Y6nZqOScnJ3Tt2jXb/RIREVH+pFYiNXDgQCxYsAAJCQn45ptvYGNjg7dv3yI5ORmSJGHYsGEZ1jt06BAkSUKtWrXU6R7Vq1eXn7MXFBSU4XysVGFhYfIEbltbW9jY2GS7v9RLkcnJyZgxY4ZKdQICAhAQEAAAaN++PRMpIiKiQkStS3vlypXDP//8Ax0dHQgh8OrVKyQlJUEIgebNm2Po0KHp6pw5cwaPHz8GADRp0kSd7tGqVSt5O6vVytMutZDVKuhEREREqlD7WXv9+vVDUFAQhg4dCnd3d3Tq1AlLly6Fv79/hhOxt23bBkdHRzg6OsLd3V2tvt3c3GBvbw8ACAwMxKVLlzIsl5SUhAULFsj73bt3z1F/8+fPT7dKe0Yvb29vuY63t7d8PO3cMSIiIir4NPLQ4po1a2LhwoXYt28ftm3bhgEDBkBPL+OrhnPmzEFISAgePnyYownfaenq6mLSpEnyvqenZ7o7CAFg3LhxuHLlCoCUye+ZJXA+Pj6QJAmSJKFp06ZqxUZERESFn1pzpPIDLy8v7Ny5E4cOHcLNmzdRo0YNeHl5wdnZGeHh4fD19ZUfqGxpaamRVciJiIiIgEKQSOnp6WH79u3o0aMH9uzZg9DQUEybNi1duVKlSmHz5s2oWrWqFqIkIiKiwkgjl/a0zczMDLt378auXbvQqVMnODg4wMDAANbW1qhfvz5mzpyJGzduZLg4KBEREVFOSULd5cWRMpl79+7d2LdvH27cuIF3796ptNK4JEl48OCBut0XSlFRUbCwsEBkZCTMzc21HQ4RZdO3S7UdQf7nN0jbERCpT+1Le7du3YKHhwdu3bqlcFyV/EySJHW7JyIiItIatRKp169fo3nz5nj16pWcOOnp6cHa2poP4CUiIqJCT61EatasWQgLC4MkSahZsyb++OMPNGvWDEWKFNFUfERERET5llqJ1N69ewGkPLz45MmTMDY21khQRERERAWBWnftPX78GJIkYcCAAUyiiIiI6LOjViKlr68PAChTpowmYiEiIiIqUNR+aDEAhIeHayQYIiIiooJErUSqc+fOEELg8OHDmoqHiIiIqMBQK5EaOnQoHBwcsGPHDpw6dUpTMREREREVCGolUhYWFti1axesra3Rtm1brF27FsnJyZqKjYiIiChfU+sRMf369QMAPHnyBEePHoUkSbC2tkbdunVhbW0NHR3leZokSVi5cmVOuy/U+IgYooKNj4jJGh8RQ4WBWomUjo6O2o95SUpKUqt+YcVEiqhgYyKVNSZSVBio/aw9dZ55zGftERERUUGmViIVEhKiqTiIiIiIChy1EilHR0dNxUFERERU4Kh11x4RERHR54yJFBEREVEOqT3ZPK3ExEScO3cOt27dQnh4OBISEjBp0iRNdkFERESUb2gkkUpISMD06dOxaNEiREZGKpz7NJEaPXo0/vvvPzg4OODIkSOa6J6IiIhIK9S+tPf27Vs0aNAAv//+OyIiIiCEkF8Z6dChA4KDgxEYGIgLFy6o2z0RERGR1qidSHXu3BlXrlyBEAKNGzfGsmXLlF7Oa9y4MUqVKgUA2Ldvn7rdExEREWmNWonUjh07cPz4cUiShFGjRuHEiRPw8vJCrVq1lNZr0aIFhBA4ffq0Ot0TERERaZVaidTGjRsBAF988QX++usvlet98cUXAIC7d++q0z0RERGRVqmVSJ0/fx6SJOG7777LVj07OzsAwOvXr9XpnoiIiEir1EqkUhOhcuXKZauevr4+gJS7/YiIiIgKKrUSKUNDQwDZT4hSEzArKyt1uiciIiLSKrUSqeLFiwMAbt++na16Z8+eBQCULVtWne6JiIiItEqtRKpJkyYQQmDr1q2Zrhv1qTdv3mD79u2QJAlubm7qdE9ERESkVWolUr169QIA3L9/H7///nuW5RMSEtCrVy/ExsZCkiT06dNHne6JiIiItErtEam2bdtCCAFvb28MHDgQwcHB6crFxsZi586dqF+/Pg4dOgRJktCrVy9UrlxZne6JiIiItEoSql6Ty0RkZCQaNWqE27dvQ5IkACmT0D98+ABJklC0aFFEREQgOTkZACCEQM2aNXHy5EkYGxur/w4KqaioKFhYWCAyMhLm5ubaDoeIsunbpdqOIP/zG6TtCIjUp/YjYiwsLHD27Fl4eHjIz9hLTaKAlGfxJSUlyee6du2K48ePM4kiIiKiAk/tRAoAzMzM4Ovri6tXr2LEiBGoU6cOihUrBl1dXVhaWqJatWoYOnQozp07h82bN8PU1FQT3RIRERFplZ4mG6tevTpmz56tySaJiIiI8i2NjEgRERERfY6YSBERERHlEBMpIiIiohxSaY5Uv379cqVzSZKwcuXKXGmbiIiIKLeptI6Ujo6OvJyBpiUlJeVKuwUd15EiKti4jlTWuI4UFQYq37WnyrqdkiQpLffp+dxKzoiIiIjygkqJVEhISKbnEhMTMW7cOOzYsQOmpqbo1asXmjdvjgoVKsDExATv379HcHAwjhw5gg0bNiA6OhqdOnXCn3/+CT09ja6+QERERJSn1H5EjIeHB7Zt24YmTZpg06ZNsLe3z7RsWFgYPDw8cOLECXTr1g2+vr7qdF2o8dIeUcHGS3tZ46U9KgzUumtv69at2Lp1K0qVKoU9e/YoTaIAwM7ODnv27EHJkiWxZcsWbNu2TZ3uiYiIiLRKrURq1apVkCQJ/fr1U/mxL6ampujfvz+EEFi1apU63RMRERFplVqJ1PXr1wEAVapUyVa91PLXrl1Tp3siIiIirVIrkXr79i0AIDo6Olv1Usun1iciIiIqiNRKpGxsbAAA+/fvz1a9ffv2KdQnIiIiKojUSqRcXV0hhMCOHTuwc+dOlers2rULO3bsgCRJcHV1Vad7IiIiIq1SK5EaPnw4dHRSmvDw8MC4ceMQGhqaYdnQ0FCMHz8eHh4eAFIW4xw+fLg63RMRERFpldrrSE2ePBlTp06VVynX0dFB5cqVUaFCBRgbGyM2NhbBwcG4c+cOkpOT5ZXNvb294e3trf47KKS4jhRRwcZ1pLLGdaSoMFB7afHJkyfDwsICEyZMQFxcHJKSknDr1i3cunVLoVxqAmVoaIgZM2bg559/VrdrIiIiIq1S69Jeql9++QU3b97Ezz//DEdHRwgh0r3KlCmjUI6IiIiooFP70l5GXr9+jRcvXiAmJgampqYoUaIE79DLJl7aIyrYeGkva7y0R4VBrjw12MbGhokTERERFXoaubRHRERE9DliIkVERESUQ0ykiIiIiHKIiRQRERFRDjGRIiIiIsohJlJEREREOcREioiIiCiHmEgRERER5RATKSIiIqIcYiJFRERElENqJVIHDx7UVBxEREREBY5aiVSrVq1QoUIFzJw5E69evdJUTEREREQFgtqX9kJCQvDrr7/CwcEBHh4eOHLkiCbiIiIiIsr31EqkevfuDUNDQwghkJiYiG3btqFly5aoVKkSZs+ejTdv3mgqTiIiIqJ8R61EavXq1Xjx4gX+/vtvVKtWDUIICCHw4MEDjB07FqVKlUKPHj0QGBiooXCJiIiI8g+1L+1ZWFjgxx9/xLVr13Dq1Cl4enrKo1QJCQnYvHkzmjdvjsqVK2PevHkIDw/XRNxEREREWqfR5Q8aNmwIHx+fDEep7t+/j1GjRqFkyZL4/vvvceLECU12TURERJTncmUdqU9Hqb7//nt5lCo+Ph4bN25E06ZNUbVqVSxYsAARERG5EQYRERFRrsr1BTkbNmyINWvW4MWLFxg2bJh8XAiBO3fu4JdffkGpUqUwdOhQPH/+PLfDISIiItIYSQghcrODjx8/Yvv27Vi+fLk86TyjLiVJgpGREebNmwcvL6/cDKlAiIqKgoWFBSIjI2Fubq7tcIgUfLtU2xFQYeA3SNsREKkv10akgoODMWbMGJQsWVK+cy91vlS9evWwevVqPH/+HHPnzoWTkxOEEIiNjcWgQYNw4MCB3AqLiIiISGM0OiKVmJgojz4dO3YMwP9Gn4yNjfHdd99hyJAhqFWrVrq669atw+DBgxEbGws3NzcEBARoKqwCiSNSlJ9xRIo0gSNSVBjoaaKR+/fvY/ny5VizZg3evn0L4H8JVOXKlTF48GB4enrCwsIi0za+//573Lt3D7///jtu3rypibCIiIiIcpVaiZSvry+WL1+O48ePA/hf8qSvr48OHTpg8ODBaNq0qcrt1atXDwDkZIyIiIgoP1MrkerZsyckSZITqFKlSmHAgAH44YcfYG9vn+32ihQpok44RERERHlKI5f2WrZsicGDB+Obb76Bjk7O56/Xq1fvs58bRURERAWHWonUqFGjMHDgQJQvX14jwVhZWcHNzU0jbRERERHlNrUSqb/++ktTcRAREREVOGqtI9WvXz/069cPV65cyVa9GzduoF+/fujfv7863RMRERFplVqJlI+PD9asWYMnT55kq97z58/h4+MDHx8fdbonIiIi0qpcf9YeERERUWGllUQqKSkJAKCnp5GbBomIiIi0QiuJVEhICADw0SdERERUoGkkkZIkSaVysbGxOHnyJP7++29IkoQqVapoonuZn58funbtijJlysDQ0BC2trZo1KgRZs2ahaioKI31Ex0dje3bt2PYsGFo1KgRbGxsoK+vD3Nzc1SuXBmenp7Yv38/NPgYQyIiIsqHVH5o8ZQpUzB16lSFY6lVVU2kPjV79mz88ssvOaqbVkxMDHr27Ak/P79Myzg4OGDLli1o0KCBWn3NnTsXEyZMQFxcXJZlmzRpgvXr16N06dLZ7ocPLab8jA8tJk3gQ4upMMjWJKXMcq6cjLw0bdoUw4YNy3a9TyUlJaFr167Yv38/AMDOzg5eXl5wdnZGeHg4fH19cerUKTx9+hRt2rTBqVOn1BoJu3fvnpxElSxZEi1atEDt2rVha2uLuLg4nD17FuvXr0dMTAxOnDiBpk2b4uzZs7C1tVX7vRIREVH+ovKI1Jo1a9ItV3Ds2DFIkgRnZ2dYW1srra+jowNTU1OULVsWLVq0QJs2bdR6nEyqZcuWYdCglH/WODs74+jRo7Czs1MoM2rUKMyZMwdAyihR6kOWc2Lw4MF4+PAhRo0ahebNm2f4Hh4/fgx3d3fcvXsXANC3b1+sWrUqW/1wRIryM45IkSZwRIoKA5UTqYzo6OhAkiTs3LkT3377rSbjUklSUhIcHBzw8uVLAMDFixfh4uKSYbk6derIC4ceOHAALVu2zFGf4eHhKFq0aJblrl69ipo1awIAjI2N8fr1axgbG6vcDxMpys+YSJEmMJGiwkCtISFXV1e4urpmORqVW44fPy4nUW5ubhkmUQCgq6uL4cOHy/u+vr457lOVJAoAatSoAScnJwApk+yDg4Nz3CcRERHlT2ot5BQYGKihMHJm37598nabNm2Ulm3dunWG9XJT2pGkDx8+5EmfRERElHcK9Mrm169fl7fr1q2rtKy9vT0cHBwAAGFhYXj9+nWuxpaQkIB79+7J+46OjrnaHxEREeW9Ap1IpU7mBoCyZctmWT5tmbR1c8PGjRsRGRkJAHBxcYG9vX2u9kdERER5T6VLe2nXj5o0aVKGx3MqbXvZFRERIW+rMk+rWLFiGdbVtNevX2Ps2LHy/sSJE7OsEx8fj/j4eHlfkwuIEhERUe5QKZGaPHmyvOhm2sQn7fGcUieRiomJkbcNDQ2zLG9kZCRvR0dH57hfZRISEtC5c2e8evUKANChQwd07Ngxy3p//PEHpkyZkisxERERUe5Q+dKessU4c/oqbJKTk9GvXz+cOHECAFC+fHmV148aP348IiMj5dfTp09zM1QiIiLSAJVGpAICArJ1PK+Ympri3bt3AIC4uDiYmpoqLZ/2zjkzMzONxiKEwKBBg7BhwwYAQOnSpXH48GFYWVmpVN/AwAAGBgYajYmIiIhyl0qJlJubW7aO5xVLS0s5kXrz5k2WidTbt28V6mqKEAJDhgzBihUrAAClSpXC0aNHUaZMGY31QURERPlPgb5rL3XBSwAICQnJsnzaMmnrqkMIgaFDh2Lp0pSlnkuWLImAgACUL19eI+0TERFR/lWgE6nq1avL20FBQUrLhoWFyfOObG1tYWNjo3b/qUnUkiVLAAAlSpRAQEAAKlSooHbbRERElP8V6ESqVatW8nZWq5X7+/vL21mtgq6KT5Oo4sWLIyAgABUrVlS7bSIiIioYCnQi5ebmJi90GRgYiEuXLmVYLikpCQsWLJD3u3fvrnbfw4YNk5Moe3t7BAQEoFKlSmq3S0RERAWHSomUrq5urrz09NR61B90dXUV1qHy9PSU129Ka9y4cbhy5QoAoHHjxnB3d8+wPR8fH0iSBEmS0LRp00z7/fHHH7F48WIAKUlUYGCgxuZcERERUcGhUiaTn9d88vLyws6dO3Ho0CHcvHkTNWrUgJeXF5ydnREeHg5fX1+cPHkSQMqdesuWLVOrv4kTJ2LRokUAAEmS8NNPP+H27du4ffu20nouLi4oXbq0Wn0TERFR/qJSIuXq6qr2Cua5RU9PD9u3b0ePHj2wZ88ehIaGYtq0aenKlSpVCps3b0bVqlXV6i81KQNSEszx48erVG/16tXo06ePWn0TERFR/qJSIhUYGJjLYajHzMwMu3fvxn///Ye1a9ciKCgIr169gpmZGcqXL49OnTph4MCBsLCw0HaoREREVIhIIj9ft/uMRUVFwcLCApGRkTA3N9d2OEQKvl2q7QioMPAbpO0IiNRXoO/aIyIiItImJlJEREREOcREioiIiCiHVJpsPnXqVHk77bpNaY/nVNr2iIiIiAoSlSab6+joyMsfJCUlZXg8p9K2R//DyeaUn3GyOWkCJ5tTYaDy0uJCiAyTJnVu+suva1MRERERqUKlRCogICBbx4mIiLLCkc2scdQu/1MpkXJzc8vWcSIiIqLPAe/aIyIiIsohJlJEREREOaTyZPPsePXqFV68eIHo6GiYmZmhRIkSsLW1zY2uiIiIiLRGY4nU48ePsXDhQmzbtg1Pnz5Nd7506dLo2rUrhg4dCkdHR011S0RERKQ1Grm0988//6Bq1aqYN28enj59CiFEuteTJ08wZ84cVK1aFYsXL9ZEt0RERERapfaI1B9//IGJEycCSFlTSkdHB87OzqhYsSJMTEzw/v17BAcH49atW0hOTkZsbCx+/PFHREVFYdy4cWq/ASIiIiJtUWll88xcunQJ9evXR1JSEnR1dTF8+HCMHDkSJUqUSFf25cuXmDt3LubPny+XP3/+PGrVqqXWGyisuLI55Wdc/4cob3AdqfxPrUt7CxcuRFJSEiRJwvr16zFnzpwMkygAKF68OGbNmoUNGzYAAJKTk7FgwQJ1uiciIiLSKrUSqYCAAEiShHbt2sHDw0OlOt26dcO3334LIQRXRiciIqICTa1EKiwsDADQrl27bNVr27atQn0iIiKigkitRMrS0lLhf3O7HhEREVF+olYi5ezsDAC4f/9+tuoFBwcr1CciIiIqiNRKpHr16gUhBNauXYuEhASV6iQkJMDHxweSJOH7779Xp3siIiIirVIrkerTpw+aNm2Ke/fuoWfPnvjw4YPS8nFxcejVqxfu37+PZs2aoU+fPup0T0RERKRVaiVSkiThv//+Q6dOnbB9+3ZUqVIFs2fPxuXLlxETEwMhBGJiYnDlyhXMmjULVapUwfbt29GlSxfs2rVLQ2+BiIiISDtUWpBTV1c3y4ZSm5EkSeUykiTh48ePKgX6ueGCnJSfcUFOorzBBTnzP5UeEZOdxc9VKavGYupERERE+YZKiZSrq6vSkSYiIiKiz5FKiVRgYGAuh0FERERU8Kg12ZyIiIjoc8ZEioiIiCiHmEgRERER5RATKSIiIqIcUmmyuSpiY2Px33//4ezZs3j27BmioqKQlJSktI4kSThy5IimQiAiIiLKUxpJpJYuXYpff/0VkZGRKtcRQnBJBSIiIirQ1E6kpk+fDm9vb5UW2UxNnLggJxERERUGas2RunPnDry9vQEAlSpVwpEjR+QHF0uShF27diEmJgbXr1/HzJkzUbx4cQBA3759ERcXl+WlPyIiIqL8TK0RqaVLl0IIAWNjYxw8eBClS5dOV8bY2BhVq1ZF1apV4eXlhfbt28PHxwfv37/Hpk2b1OmeiIiISKvUGpE6duwYJElC165dM0yiPmVpaYldu3ahaNGi2Lp1K/z8/NTpnoiIiEir1Eqknjx5AgBo0KBBhucTEhLSHbOyskLv3r0hhMC6devU6Z6IiIhIq9RKpKKjowEANjY2CseNjIwUzn+qVq1aAIALFy6o0z0RERGRVqmVSJmYmABIP/JkYWEB4H8jVp/6+PEjACAsLEyd7omIiIi0Sq1EqkyZMgDSJ0ROTk4QQuDUqVMZ1rt69SoAoEiRIup0T0RERKRVaiVSNWrUgBAC169fVzju6uoKAAgICMDFixcVzj18+BD//vsvJElClSpV1OmeiIiISKvUSqSaNm0KADh69KjCcU9PT+jp6SE5ORlfffUVxowZg+XLl2PMmDGoU6cOYmJiAADdu3dXp3siIiIirZKEGsuMv337Fvb29khOTsaJEyfQqFEj+dzkyZMxderUDB8DI4RA7dq1cerUKV7ey0RUVBQsLCwQGRkJc3NzbYdDpODbpdqOgOjz4DdI2xFQVtRakLNYsWK4d+8eEhISYGtrq3Bu8uTJMDExwbRp0+QRKCBlxfNu3bph6dKlTKKIiIioQFNrREoV8fHxOHPmDEJDQ2FiYoI6derIj4qhzHFEivIzjkgR5Q2OSOV/aj+0OCsGBgbyXCoiIiKiwkStyeZEREREn7NcG5GKiIhAdHQ0zMzMYGlpmVvdEBEREWmNxhKpmJgY+Pj4YNu2bbh48SJiY2Plc8bGxqhTpw66du0KT09PmJqaaqpbIiKiQovzEbOm7XlkGplsvnv3bgwYMACvXr0CkLK8QbqO/n8ZBFtbW6xYsQLt2rVTt9tCjZPNKT/j/7kTUX6h7URK7TlSa9euRadOnfDq1SsIISCEgJmZGWrWrInGjRujZs2aMDc3l8+FhYWhQ4cOWLdunSbiJyIiItIatRKp4OBgDBo0CElJSRBCoGPHjjhz5gwiIyNx6dIlnDhxApcuXUJERATOnj2Lzp07AwCSk5MxcOBAPHjwQCNvgoiIiEgb1Eqk5s2bh7i4OEiShL/++gvbt29H/fr1Myxbr149bN26FbNnzwaQsr7UvHnz1OmeiIiISKvUSqQOHjwISZLg6uqKUaNGqVRnxIgRcHNzgxACBw4cUKd7IiIiIq1SK5F6/vw5AKBLly7ZqpdaPrU+ERERUUGkViKVuoyBnZ1dtuqlPpePyyAQERFRQaZWIlWhQgUAwJMnT7JV7+nTpwCAihUrqtM9ERERkVaptSCnh4cHzp49i40bN+KXX36R14pSRgiBDRs2QJIkdO/eXZ3uiXIF10giIiJVqTUiNWjQIHzxxRe4fPkyfvnlF5XqjBgxApcvX0aNGjUwcOBAdbonIiIi0iq1EikDAwPs3bsX9evXx8KFC9GgQQNs27YN7969UygXERGBrVu3omHDhliwYAEaNmyIvXv3okiRImoFT0RERKRNKl3aK1eunNLziYmJEEIgKCgIHh4eAAArKyuYmJjg/fv3cmIlhIAkSXjy5AkaN24MSZK4KCcREREVWColUo8ePYIkSRk+Qw9IeY5e6vyo1DLh4eEIDw9PVw4AXrx4ISdVRERERAWVSolU6dKlmfQQERERfULlESkiIiIiUqTWZHMiIiKizxkTKSIiIqIcYiJFRERElENqrWz+qTdv3mDv3r04e/YsXr58iejoaJiZmaFEiRKoX78+2rZtC2tra012SURERKQ1GkmkYmNjMWbMGKxatQrx8fEZllm2bBkMDAzwww8/YObMmTAyMtJE10RERERao/alvTdv3qBu3bpYsmQJ4uLiIITI9BUXF4d//vkHdevWxdu3bzURPxEREZHWqD0i1blzZ9y+fRsAYGRkhO+++w7u7u6oVKkSTE1NERMTg3v37uHAgQPYtGkTYmNjcevWLXTu3BmBgYHqdk9ERESkNZLIbLlyFezcuROdO3eGJEmoWbMmduzYAUdHx0zLP378GF26dMHFixchSRJ27NiB9u3b57T7Qi0qKgoWFhaIjIyEubm5tsP5rHy7VNsREBGRqvwGabd/tS7tbdq0CQBgY2ODQ4cOKU2iAMDR0RH79++Hra0tAGDjxo3qdE9ERESkVWolUufOnYMkSejXrx+KFi2qUp1ixYqhf//+EELg3Llz6nRPREREpFVqJVKvXr0CAHzxxRfZqle9enWF+kREREQFkVqJVJEiRQAACQkJ2aqXWl5fX1+d7omIiIi0Sq1EqkSJEgCAEydOZKve8ePHAQAlS5ZUp3siIiIirVIrkWratCmEEFi3bh2uXr2qUp0rV65g/fr1kCQJTZs2Vad7IiIiIq1SK5H64YcfIEkSEhMT0aJFC+zYsUNp+R07duDrr79GQkICJEmCl5eXOt0TERERaZVaC3K6uLhg0KBBWLJkCcLDw9G1a1eUK1cOX3/9NSpVqgQTExO8f/8e9+/fx6FDh/DgwQMIISBJEgYNGoRatWpp6n0QERER5Tm1VzZfuHAhoqKisGHDBgDAw4cPsWzZsgzLpq792bNnTyxYsEDdromIiIi0Su1n7eno6GDdunXYvHkzXFxclD5rr3bt2ti6dSvWrl0LHR21uyYiIiLSKrVHpFJ17doVXbt2xZMnT3Du3Dm8fPkS0dHRMDMzQ/HixVG/fn2ULl1aU90RERERaZ1aidTatWsBAPb29mjZsiUAoHTp0kyYiIiI6LOg1vW1Pn36oG/fvjh58qSm4iEiIiIqMNRKpExNTQEAzs7OGgmGiIiIqCBRK5EqXrw4ACAxMVEjwRAREREVJGolUs2aNQMABAUFaSQYdfn5+aFr164oU6YMDA0NYWtri0aNGmHWrFmIiooqNH0SERFR/iCJ1MWdcuDy5cuoV68ejI2NcevWLa09Oy8mJgY9e/aEn59fpmUcHBywZcsWNGjQoED0GRUVBQsLC0RGRsLc3FydUCmbvl2q7QiIiEhVfoO0279aI1K1atXC77//jujoaHz99de4du2apuJSWVJSErp27SonNHZ2dpg4cSI2btyIRYsWoXHjxgCAp0+fok2bNrh9+3aB7JOIiIjyH7VGpFKXP9i8eTP27dsHHR0dfPnll2jSpAlKlSoFIyOjLNvw9PTMafcAgGXLlmHQoJR01NnZGUePHoWdnZ1CmVGjRmHOnDkAgCZNmuD48eP5vk+OSGkPR6SIiAoObY9IqZVI6ejoQJIkeT/1OXoqdy5J+PjxY067R1JSEhwcHPDy5UsAwMWLF+Hi4pJhuTp16uDKlSsAgAMHDsjrXuXXPplIaQ8TKSKigkPbiZTaz2lJ+wiYT/dVeanj+PHjckLj5uaWYUIDALq6uhg+fLi87+vrW6D6JCIiovxJrZXNV69erak4cmTfvn3ydps2bZSWbd26dYb1CkKfRERElD+plUj17t1bU3HkyPXr1+XtunXrKi1rb28PBwcHPH36FGFhYXj9+jVsbGwKRJ9ERESUP6l9aU+b7t69K2+XLVs2y/Jpy6Stm9/7JCIiovwpxyNSz58/x7Vr1xAZGQkLCwtUr14dpUqV0mRsWYqIiJC3ra2tsyxfrFixDOvmhz7j4+MRHx8v70dGRgIAF/XUgsQP2o6AiIhUlZt/Js3MzLK8iS7bidT58+fxyy+/4OzZs+nONWjQAPPmzUO9evWy22yOxMTEyNuGhoZZlk+7HEN0dHS+6vOPP/7AlClT0h13cHDIZoRERESfD4sRude2KnfOZyuROnjwIDp06ID4+PgM77g7c+YM3NzcsGvXLri7u2cv2s/c+PHjMWLE/34NycnJCA8PR7FixbK1pERBExUVJc8j4zIPlFP8HZEm8HdEnzIzM8uyjMqJVHR0NHr37o24uDj5WIUKFWBra4tXr14hODgYQMolqt69e+PevXu5/kM0NTXFu3fvAABxcXEwNTVVWv7Dh/9ds1Hlw8nLPg0MDGBgYKBwzNLSMkcxFkTm5ub8Py5SG39HpAn8HVF2qDzZfN26dQgLC4MkSahTpw5u3ryJe/fu4eTJk7h37x5u3bolX9J7/fo11q1bl2tBp0qbaLx58ybL8m/fvs2wbn7vk4iIiPInlROp1HWQrK2tceDAAVSpUkXhfOXKlbFv3z7Y2toqlM9NTk5O8nZISEiW5dOWSVs3v/dJRERE+ZPKidS1a9cgSRI8PT1hZWWVYRkrKyt4enpCCKGw3lJuqV69urwdFBSktGxYWBiePn0KALC1tc3xek7a6LMwMzAwgLe3d7rLmkTZwd8RaQJ/R5QTKidS4eHhAICaNWsqLVejRg0Aipe0ckurVq3k7axGwPz9/eXtrFYkz299FmYGBgaYPHky/4+L1MLfEWkCf0eUEyonUu/fvweQ9STt1MnXaSdZ5xY3NzfY29sDAAIDA3Hp0qUMyyUlJWHBggXyfvfu3QtUn0RERJQ/FeiVzXV1dTFp0iR539PTE69evUpXbty4cbhy5QoAoHHjxpkuzeDj4wNJkiBJEpo2bZonfRIREVHBpdaz9vIDLy8v7Ny5E4cOHcLNmzdRo0YNeHl5wdnZGeHh4fD19cXJkycBpNw1t2zZsgLZJxEREeU/2U6k8tvikHp6eti+fTt69OiBPXv2IDQ0FNOmTUtXrlSpUti8eTOqVq1aIPskIiKi/Cfbl/Y6dOgAXV3dTF+dOnUCAAghlJbT1dWFnp5mBsTMzMywe/du7Nq1C506dYKDgwMMDAxgbW2N+vXrY+bMmbhx4wYaNWqkkf601Wdh4efnh65du6JMmTIwNDSEra0tGjVqhFmzZvHZgqRUdHQ0tm/fjmHDhqFRo0awsbGBvr4+zM3NUblyZXh6emL//v0ZPnmBSBV9+vSRp3hIkoTJkydrOyTK5ySh4v/j6OjoyKNRyqqkHbHKqmlJkpCUlKRK91QIxMTEoGfPnvDz88u0jIODA7Zs2YIGDRrkYWRUEMydOxcTJkxQeLpCZpo0aYL169ejdOnSeRAZFRb79u1Ld4e1t7c3kylSKltDQqrkXPyXIGUkKSkJXbt2xf79+wEAdnZ26eaVnTp1Ck+fPkWbNm1w6tSpdIu+0uft3r17chJVsmRJtGjRArVr14atrS3i4uJw9uxZrF+/HjExMThx4gSaNm2Ks2fPyosEEykTFRWFgQMHAgBMTEzkO9WJsiSI8sDSpUsFAAFAODs7i9DQ0HRlRo4cKZdp0qSJFqKk/GzQoEGiZcuW4uDBgyIpKSnDMo8ePRJOTk7y76hv3755HCUVVAMGDBAAhIODgxgxYoT8G/L29tZ2aJTPqXxpjyinkpKS4ODggJcvXwIALl68CBcXlwzL1alTR1424sCBA2jZsmVehkr5WHh4OIoWLZpluatXr8oLBxsbG+P169cwNjbO5eioIDt69ChatGgBIQR2796NCxcuYMqUKQB4aY+yVqDXkaKC4fjx43IS5ebmlmESBaSs0TV8+HB539fXN0/io4JBlSQKSHm6QupzLWNjYxEcHJybYVEBFxsbCy8vLwgh4OHhgXbt2mk7JCpgmEhRrkv7KJ2sHpXTunXrDOsRZYe5ubm8nRdPWaCCa/z48Xj48CGKFi2Kv//+W9vhUAHERIpyXdoHWNetW1dpWXt7ezg4OABIeejz69evczU2KnwSEhJw7949ed/R0VGL0VB+dvr0aSxatAgAMHv2bNjZ2Wk5IiqImEhRrrt79668XbZs2SzLpy2Tti6RKjZu3IjIyEgAgIuLi/xsTKK04uLi0K9fPyQnJ6N58+bo27evtkOiAoqJFOW6iIgIedva2jrL8sWKFcuwLlFWXr9+jbFjx8r7EydO1GI0lJ9NmjQJd+/ehZGRER/jRWphIkW5LiYmRt42NDTMsryRkZG8HR0dnSsxUeGTkJCAzp07yw8R79ChAzp27KjlqCg/CgoKwty5cwEAU6ZMQfny5bUcERVkTKSIqMBLTk5Gv379cOLECQBA+fLlsWrVKi1HRflRQkIC+vXrh6SkJLi4uGDEiBHaDokKOCZSlOtMTU3lbVUe75H2LiszM7NciYkKDyEEBg0ahA0bNgAASpcujcOHD8PKykrLkVF+NH36dNy4cQO6urpYsWIFdHV1tR0SFXBMpCjXWVpayttv3rzJsvzbt28zrEv0KSEEhgwZghUrVgAASpUqhaNHj6JMmTLaDYzypatXr+LPP/8EAIwYMSLTNe2IsiNbz9ojygknJyeEhIQAAEJCQrL8I5daNrUuUUaEEBg6dCiWLl0KIOX5ewEBAZzvQpny8fFBYmIidHR0oK+vj+nTp2dY7vjx4wrbqeWcnJzQtWvXPImVCg4mUpTrqlevLj+sOCgoCM2aNcu0bFhYGJ4+fQoAsLW1hY2NTZ7ESAVLahK1ZMkSAECJEiUQEBCAChUqaDkyys9Sn4iWnJyMGTNmqFQnICAAAQEBAID27dszkaJ0eGmPcl2rVq3k7axWK/f395e3s1oFnT5PnyZRxYsXR0BAACpWrKjlyIjoc8REinKdm5ubvChiYGAgLl26lGG5pKQkLFiwQN7v3r17nsRHBcuwYcPkJMre3h4BAQGoVKmSlqOigmD+/PkQQmT58vb2lut4e3vLx3ft2qW94CnfYiJFuU5XVxeTJk2S9z09PeW1ftIaN24crly5AgBo3Lgx3N3d8ypEKiB+/PFHLF68GEBKEhUYGMh5dESkVZwjRXnCy8sLO3fuxKFDh3Dz5k3UqFEDXl5ecHZ2Rnh4OHx9fXHy5EkAKXfqcaVh+tTEiRPl56JJkoSffvoJt2/fxu3bt5XWc3FxQenSpfMiRCL6DDGRojyhp6eH7du3o0ePHtizZw9CQ0Mxbdq0dOVKlSqFzZs3o2rVqlqIkvKz1EQbSJknNX78eJXqrV69Gn369MmlqIjoc8dLe5RnzMzMsHv3buzatQudOnWCg4MDDAwMYG1tjfr162PmzJm4ceMGGjVqpO1QiYiIVCKJ1PtBiYiIiChbOCJFRERElENMpIiIiIhyiIkUERERUQ4xkSIiIiLKISZSRERERDnERIqIiIgoh5hIEREREeUQEykiIiKiHGIiRURERJRDTKSIiIiIcoiJFBEREVEOMZEiIgWTJ0+GJEmQJAmBgYHaDqdAiouLw19//YWGDRvCysoKurq68mf66NEjbYdHRBrERIo+S6l/1FJf+/fvz7LOo0eP5PJffvllHkRJBdGHDx/g6uqKsWPH4uzZs4iIiEBycrK2wyKiXKKn7QCI8oPx48fD3d0dkiRpOxQq4JYuXYqgoCAAgLOzMwYOHIiSJUtCV1cXAGBra6vN8IhIw5hIEQG4cuUKfH190aNHD22HQgXc3r17AaSMeh44cAClSpXSckRElJt4aY8+a4aGhtDRSfnP4LfffkNiYqKWI6KC7unTpwBSRp6YRBEVfkyk6LNWrFgxfP/99wCAhw8fYtmyZVqOiAq6+Ph4AClJOhEVfkyk6LM3depUGBgYAACmTZuGmJiYHLfVp08fle/O8vHxkcv6+PikO592cnufPn0AAKGhoZgwYQKqVasGc3NzWFtbo0mTJtiyZQuEEAr1b9y4AS8vLzg5OcHY2BjFihVD27Ztc3Qn3tGjR9GtWzc4OjrC0NAQdnZ2aNu2LbZv365yG0lJSdiwYQO6du2KMmXKwMTEBKampnBycoKXlxcuXLigtH5Gn9elS5cwaNAgVKpUCWZmZpl+lqqKiIjAn3/+iSZNmsDOzg5FihSBra0tvvzyS/zxxx+IiIjIsF7aOx0fP34MAHj8+HG6mxpyGtuJEyfQr18/VKlSBWZmZtDX14etrS2cnZ3RqlUrTJs2Dffu3VOoU7duXUiSBF1dXXmUTBkhBMqXLw9JkmBkZIR3797J5zL6LUZERGDGjBlwcXGBpaUlTExM4OzsjNGjR+PVq1dZ9nfv3j3MnTsXHTt2RMWKFWFqaip/3q6urpg+fTrevHmTZTupcTVt2hQA8O7dO/z+++9wcXFB0aJFFeIKDQ3Nsr3Q0FBMmTIFjRs3hrW1NfT19WFhYYHy5cujYcOGGDJkCPz9/bO8geDKlSv46aefUKNGDRQtWhQGBgYoUaIE2rZti1WrVuHjx49ZxpKT7520QBB9hgAIAKJkyZJCCCF++eUX+diUKVMyrBMSEiKXady4cYZlevfuLZcJCQlRGsPq1avlsqtXr1baX+/evcXJkyeFra2tfOzT14ABA0RycrIQQohly5YJPT29TMsuWbIk07i8vb3lcgEBAWLEiBGZtgNAdOjQQcTFxSl9r9evXxeVK1dW2g4AMWzYMPHx40eVPq+ZM2cKXV3ddG1k9FmqYu/evaJo0aJK4ytatKjYu3ev0s9M2Su7sSUlJYmBAweq1Hbbtm0V6q5cuVI+N2nSpCz7OnDggFze09NT4dynv8WLFy+K0qVLZxqLnZ2duH79eqZ9rVmzRqX3ZG5uLvbs2aM07tSybm5u4vr168LR0THT9iwtLcX+/fszbcvf31+YmZmpFNvr168zbCMuLk7069dPSJKktH7VqlXFgwcPMmxDne+d8h4nmxMBmDBhAlauXImoqCjMnj0bgwcPho2NjbbDkj158gQdOnRAZGQk+vTpAzc3NxgaGiIoKAhLlizBhw8fsHz5cjRs2BDm5uYYOHAgrK2t0a9fP9SoUQMfP37E3r17sWXLFgDA8OHD0bRpU1SuXFlpvwsXLsSOHTtgYWGBfv36oXbt2khKSsKpU6ewZs0axMfHY9euXejRo0emo1OXL1+Gm5sboqOjAQBNmjRB27Zt4ejoiOTkZFy7dg0+Pj4ICwvDokWLkJCQkOUl1i1btmDfvn0wNTWFp6cn6tWrB319fdy6dQv29vbZ/nwPHDiA9u3by6ME9evXR/fu3VGiRAm8fPkSmzZtwtmzZxEeHo727dtjz549cHd3l+t3794dNWvWBAAMGDAAr1+/ho2NDZYvX67Qj4uLS7biWrRokfxZmJmZoUuXLqhduzZsbGyQkJCAZ8+e4cKFCzh8+HC6ut27d8fIkSMRERGBVatWYdKkSfKdgxlJ+5kPHDgw03JPnz5FmzZt8Pr1a3Tu3Blff/01ihYtikePHmH58uUIDg5GWFgYPDw8cOXKFejr66drIzY2FpIkoUaNGnB1dUXlypVRtGhRAMCzZ89w+PBh7N+/H1FRUejcuTNOnz6d5WcXGRmJ9u3b4/Hjx3B1dUWXLl1gZ2eHJ0+eYMOGDbhy5QoiIiLQoUMHHD9+HHXr1lWo/+LFC3Tr1k0ekXZzc0Pbtm1hb28PAwMDvHnzBjdu3MCRI0cyHQX6+PEjWrVqJY/6lihRAt27d8cXX3wBY2NjPHv2DDt27MDJkydx8+ZNuLq64vLly+n+v0ad7520QNuZHJE24JMRKSGEmD59unx8+PDh6epoc0QK/z8acuHChXTlAgIC5H/9lilTRhQrVkzUrVtXvH37Nl3ZSZMmye0NGTIkw7g+HV2pWLGiePr0abpy169fFzY2NnI5X1/fdGXev38vypUrJwAIY2Nj4efnl2GfERERolmzZnJbhw4dSlcm7ecFQFSqVEk8fvw4w/ayIzo6WtjZ2cntTp48WR7ZS5WcnKzw2dnZ2YmoqKgM20sdEXF0dFQ7tqpVqwoAwsrKSjx69CjTch8+fBBnz55Nd/ynn36SY87ssxdCiJcvX8ojmNWqVUt3/tPfopmZmTh27Fi6ctHR0aJmzZpyue3bt2fY340bN8T9+/czjUcIIQ4dOiSMjY0FANG8efNMy6WNC4CYOXNmujIfP34Uw4YNk8s4OzuLpKQkhTKzZs2Szy9YsEBpbGfPnhUfPnxId3zcuHFyG15eXhmWEUKIv//+Wy7Xs2fPdOfV/d4pbzGRos9SRolUTEyMsLe3FwBEkSJF0iVC2k6kNmzYkGlbLVq0kMsZGBhk+n++sbGxwtTUVAAQ5cqVy7BM2kRKR0dHXL58OdN+//vvP7lsrVq10p1P+wdj3bp1mbYjhBBv3rwR5ubmAoBo1apVuvNpPy9JksSlS5eUtqeqBQsWyO22adNGadlWrVrJZefPn59hGU0mUgYGBgKA6Nq1a47q37lzR463Xbt2mZb7/fff5XILFy5Md/7T3+KqVasybWvfvn1yuR9++CFHcaeaOHGi3NazZ88yLJM2rk6dOmXaVlJSkqhTp45c9r///lM4n/ZS2vv377Mda1hYmDA0NBQARIsWLbIs36NHDwFA6Orqpntv6n7vlLc42Zzo/5mYmGDSpEkAgISEBPz2229ajuh/bG1t4eHhken5tCutf/PNN3B0dMywnJGREerUqQMACAkJQVxcnNJ+W7ZsKV+yysi3334LJycnACmX8B4+fKhwfs2aNQCAkiVLZrlGV+pkeAAIDAyU737LyJdffolatWopbU9VO3bskLfHjh2rtOyvv/6aYb3cYmJiAgC4fv06EhISsl3fyckJX331FQBg3759GU46F0Lg33//BQAYGxvLd7FmxtraWmmZZs2aQU8vZdbIjRs3sh1zWml/12fPns2y/JgxYzI9p6Ojg5EjR8r727ZtUzif+lkDwMWLF7MTJgBg8+bN8n9Po0ePzrJ87969AaTchHHkyJEMY8np9055i3OkiNL44YcfMHfuXAQHB2Pjxo0YPXo0vvjiC22HhTp16iid35J2XlC9evWUtpVaVgiBiIgIpXOKWrRokWVsLVq0wN27dwEA58+fR7ly5QAAUVFRuHLlCgCgePHi8PPzy7Kt1OQpLi4OISEhmc7hatKkSZZtqUIIgfPnzwNISSKyevRP48aNYWJigvfv3yMoKAjJycnyOmS5oWXLlti0aRPu3LmD5s2bY8SIEXB3d4exsbHKbQwePBhHjx5FUlISVq5cicmTJyucP3jwIEJCQgAAHh4esLCwUNpe3bp15UQpIwYGBrC2tkZoaKjCnX8ZOXnyJHx9fXH+/Hk8fPgQ0dHRma7l9uzZM6VtmZubZ/nbT/t7Tv3eU7Vs2RJz584FAHTq1Aljx45F165dM/1HyaeOHz8ub4eFhWHXrl1Kyz9//lzevnXrVrpY1P3eKe8wkSJKQ19fH9OnT0f37t2RnJyM8ePHyytVa1OxYsWUnk9dviG7ZbMakapYsWKWsaUt8+LFC3n76dOn8i3iFy5cQMeOHbNsK63w8PBMz2lqocuoqCjExsYCAMqXL59lUqSjo4MKFSrg6tWr+PDhAyIiIuRJ0rlh5syZOHnyJJ49e4aTJ0/i5MmT0NfXh4uLCxo1aoSmTZuiZcuWStes6tChA0qUKIEXL15g1apV+O233xSS8rQT4pVNMk9lbW2dZZnU31hmv6+YmBj06tUL//33X5ZtpYqKilJ6PnXpBmWsra1haWmJiIgIhd8qALi7u8PT0xNr167FmzdvMHr0aIwePRply5ZFw4YN4erqijZt2sDBwSHDttMud+Lp6anam/p/n/7WNfG9U97hpT2iT3Tr1k2+Q8jf31/hX5rakp1RD02OkKS93KFKmdQ78wBkuuaSqpRd0jAyMlKr7VRp41XlvQKAqalphvVzQ+nSpXH58mX8/PPPcsKWmJiIc+fOYd68eWjfvj3s7OwwadKkTC+F6unp4YcffgCQktzu27dPPhcaGiqPFNaoUQP169fPMiZN/L48PDzkJMrExATdunXDH3/8gTVr1mDr1q3YuXMndu7ciWnTpsl1kpKSlLap6veXWi6j9eJ8fHzg4+OjMAodEhKCjRs3YtCgQXB0dETbtm3lEdi01Pm9f/pb18T3TnmHiRTRJyRJwp9//invjxs3Llf6yeoPQ37w/v37bJUxMzOTt9MmHJ06dYJIublF5VfqAou5KW28qrxXQPEPcNr6ucXa2hrz5s1DWFiY/Ie0a9eu8h/YqKgoTJs2DW3atMl0kcgBAwbIo1BpR6DSLgypymiUJpw6dQr+/v4AgOrVqyM4OBibN2/GuHHj4OnpiS5duqBDhw7o0KFDtubBqfr9pZZL+/tMJUkSevfujatXr+LRo0dYv349hg4diqpVqwJIuRTs7++PunXr4vr16wp107YXFRWVrd96Rgu1auJ7p7zBRIooA19//bU8n+LMmTPYuXOnSvXSXjbLapKoKqs2a1twcHC2ypQoUULeLlmypLytysra2mBubi6PUDx8+DDLP0jJycl48OABgJRRMUtLy9wOUaanp4d69erh559/xpYtW/Dq1Sts3bpVntN09OjRTH+nJUuWxLfffgsgZZT12bNnEEJgxYoVAFJGaXr27Jkn7+PgwYPy9owZM5TO0Uudu6WKBw8epFvd/1Nv376VR47S/lYz4ujoiJ49e2LRokW4ceMGbt26BTc3NwApI5FpbzwAFC83a/L3rs73TnmDiRRRJv788095zsWECRNUGkGysrKSt9NOJs3I6dOn1QswDxw6dCjLMmkXBUx7acja2lr+l/ylS5cQFham+QDVJEmSvDDj+/fvcerUKaXlT506JY9I1a1bN1cnmmdFV1cXXbp0UZg8fuLEiUzLDx48GADkSecHDx6U5/V89913MDc3z81wZWkf01KhQgWlZdNehsxKVFRUugnkn8rst6qKKlWqYPv27fJ3/ulnnZpkAdmLO7uy+71T7mMiRZSJ2rVro2vXrgCA27dvq/SctNTEAYDSVYfv3r0rX97Izw4dOoRr165len7v3r24c+cOgJRVu8uWLatwPu0t3qlLS+Q3nTt3lrdnzpyptGzaS75p62lT2s9c2fPbWrRoId8YsHLlSixZskQ+l1eX9QDFuUzKRjzPnDmT7YRk9uzZmZ5LTk6W78oDgC5dumSrbSDlRo7UhPPTz7p79+7yiPTcuXNzfcRZ1e+dch8TKSIlpk+fLt/qPW/evCzLf/3113L5f/75J8M/FM+fP0fnzp0LxP/5JSUloVu3bunucAJSbtnu37+/vJ/RGj5Dhw5FmTJlAKTMzRk7dmymt7cDKZdDt2zZgn/++Uf94FXUp08f2NnZAUhJDNNOcE5r2rRpcvJrZ2eHvn375mpcL1++xMiRI+VLiRn5+PGjfHkOgNI1vyRJwqBBgwCkXHpKnezt4uIiry2WF9I+mmXKlCkZ3tl37do1dOnSJctLdZ/atm2bQrKUKjk5GSNGjJBHrKpWrSqvWZY2lgMHDii9vOvr6ytfGvz0sy5VqhSGDx8OIOXuVXd393Trqn3q6tWr6ZJYTX/vlPu4/AGREhUrVsQPP/yApUuXqjSZ1d7eHp6enli1ahUiIyNRr149DB48GF988QXi4+MRFBSENWvWIDY2Fh4eHti8eXMevIuc69y5M7Zv346qVauif//+cHFxQVJSEk6fPg0fHx/5j2CnTp0yXDDU2NgYfn5+cHV1RUREBP766y+sX78eXbp0QY0aNWBubo7Y2Fg8ffoUly5dwuHDhxEVFaWQoOU2U1NTrFmzBm3btpVHzvbt2wcPDw8UL14coaGh2LRpE86cOQMgZc7KmjVrcn2ieXx8PObOnYu5c+eidu3aaNKkCapUqQIrKyvExMTg4cOH8PX1lf/glitXDt27d1faZp8+fTBhwgSF5CUvR6OAlN9K6dKl8eTJE1y4cAFOTk744YcfUKFCBcTGxuLYsWPYtGkTEhMT0bt3b3lR16zUrFkTUVFRGDlyJPz8/NClSxfY2tri6dOn2LBhAy5fvgwgZR7j6tWr012WDQgIwOTJk2Frawt3d3fUrFkT9vb20NHRwcuXL3HgwAGFS92fzpECUuZ8Xb16FQcPHsSlS5dQuXJlfPvtt2jSpAmKFy+O5ORk+Zl9AQEBuHfvHnR1dRWec5gb3zvlsrxYPp0ov0EGj4jJzIsXL+RnfqW+MntEjBApz42rX79+umeApb6MjIzE2rVrs/WImN69eyuNMau20srqMTZpHxETEBAgRo4cmel7ASDat2+f6TPFUgUHByv9TNK+JEkSkyZNUus95sSePXuElZWV0tisrKzEnj17lLajqUfEPHr0SKXPC0h5Pl5wcLBK7ab9/s3MzER0dHSWdbLzWxQi68/gwoULwtraOtP3o6urK/78808REBAgH/P29s6wrdTzbm5u4vr166JMmTKZtmthYSH279+fYTtNmzZV6bM2MTFR+oichIQEMXLkSPnZhVm9Pv2Mcut7p9zDESmiLBQvXhw///wzZsyYoVJ5CwsLHDt2DEuXLoWvry9u376NhIQElCxZEu7u7hg+fDicnJxUmnOVH8yePRutW7fGsmXLcPbsWYSFhcHCwgK1a9dG//79VZprUr58eZw9exYHDx7E1q1bcfr0abx48QLR0dEwNjZGyZIl4ezsDDc3N3zzzTfp5lrlhbZt2+Lhw4dYsmQJ9u7di7t37yIiIgKWlpaoVKkS2rZtiyFDhuTZnXqOjo548OABDhw4gNOnT+PatWt48uQJoqOjUaRIEdjb26NWrVro3LkzunXrpnS18bRatmwpj/L06NEjw2UAclvt2rVx7do1zJkzB3v27MHjx4+hp6eHEiVKoFmzZhgwYABcXFwQGBiYrXarVauGy5cvY9GiRdixYwdCQkIQHx+P0qVLo127dhg5ciSKFy+eYd3du3fj8OHDOHbsGC5duoTg4GC8efMGQghYWlqicuXKaNGiBX744Qeld/zp6+tj9uzZ+PHHH7Fq1SoEBATg/v37CA8Ph46ODooVK4ZKlSqhfv36cHd3h6urq0L93PreKfdIQmTzIjQRERVYHTp0kOdHXbp0SWPPLNSW1Dtr3dzcsp14EWkCJ5sTEX0mnj59ij179gBIuf2/oCdRRPkBEykios/E5MmT5fXQfv75Z+0GQ1RI8OIqEVEhFRwcjODgYERHR2PPnj1Yu3YtgJRHs3Tr1k3L0REVDkykiIgKqfXr12PKlCkKx4yNjTO8/Z+Icob/JRERFXKSJKFkyZLo0qULgoKCULt2bW2HRFRo8K49IiIiohziiBQRERFRDjGRIiIiIsohJlJEREREOcREioiIiCiHmEgRERER5RATKSIiIqIcYiJFRERElENMpIiIiIhy6P8AhIX8nseYCvsAAAAASUVORK5CYII=\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/dSPN_to_iSPN_np3/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Wrote networks/scan_FS_to_iSPN_f1_mu2_a3_distdep/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", + "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/dSPN_to_iSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/dSPN_to_iSPN_np4/network-config.json\n", + "Writing networks/scan_FS_to_iSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_iSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_iSPN_f1_a3_distdep/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 31/125 (150 neurons)\n", - "Processing hyper voxel : 36/125 (148 neurons)\n", - "Processing hyper voxel : 32/125 (146 neurons)\n", - "Processing hyper voxel : 37/125 (139 neurons)\n", - "Processing hyper voxel : 56/125 (124 neurons)\n", - "Processing hyper voxel : 61/125 (108 neurons)\n", - "Processing hyper voxel : 57/125 (87 neurons)\n", - "Processing hyper voxel : 6/125 (87 neurons)\n", - "Processing hyper voxel : 11/125 (74 neurons)\n", - "Processing hyper voxel : 62/125 (71 neurons)\n", - "Processing hyper voxel : 7/125 (64 neurons)\n", - "Processing hyper voxel : 30/125 (60 neurons)\n", - "Processing hyper voxel : 35/125 (56 neurons)\n", - "Processing hyper voxel : 26/125 (43 neurons)\n", - "Processing hyper voxel : 12/125 (40 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 55/125 (26 neurons)\n", - "Processing hyper voxel : 60/125 (21 neurons)\n", - "Processing hyper voxel : 41/125 (19 neurons)\n", - "Processing hyper voxel : 5/125 (17 neurons)\n", - "Processing hyper voxel : 51/125 (13 neurons)\n", - "Processing hyper voxel : 1/125 (10 neurons)\n", - "Processing hyper voxel : 10/125 (9 neurons)\n", - "Processing hyper voxel : 42/125 (8 neurons)\n", - "Processing hyper voxel : 2/125 (7 neurons)\n", - "Processing hyper voxel : 33/125 (7 neurons)\n", - "Processing hyper voxel : 66/125 (7 neurons)\n", - "Processing hyper voxel : 81/125 (7 neurons)\n", - "Processing hyper voxel : 52/125 (5 neurons)\n", - "Processing hyper voxel : 17/125 (5 neurons)\n", - "Processing hyper voxel : 25/125 (3 neurons)\n", - "Processing hyper voxel : 38/125 (3 neurons)\n", - "Processing hyper voxel : 16/125 (3 neurons)\n", - "Processing hyper voxel : 40/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 80/125 (2 neurons)\n", - "Processing hyper voxel : 63/125 (2 neurons)\n", - "Processing hyper voxel : 86/125 (2 neurons)\n", - "Processing hyper voxel : 13/125 (2 neurons)\n", - "Processing hyper voxel : 8/125 (2 neurons)\n", - "Processing hyper voxel : 58/125 (2 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 28/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 72238 out of total 72238 synapses\n", - "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", - "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 100, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 200, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 300, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 400, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 1.0131725334397124\n", - "Worker iter: 500, fitness 0.9897787166562859\n", - "Worker iter: 600, fitness 0.9892665216727877\n", - "Worker iter: 600, fitness 0.9696307162885691\n", - "Worker iter: 600, fitness 1.0131725334397124\n", - "Worker iter: 600, fitness 0.9589499721702899\n", - "Worker iter: 600, fitness 1.0131725334397124\n", - "Worker iter: 600, fitness 0.9625627286843846\n", - "Worker iter: 600, fitness 0.961422587174599\n", - "Worker iter: 600, fitness 0.9597385294466703\n", - "Worker iter: 700, fitness 0.9892665216727877\n", - "Worker iter: 700, fitness 0.9589499721702899\n", - "Worker iter: 700, fitness 0.9741563905355696Worker iter: 700, fitness 0.9466304246956747\n", - "\n", - "Worker iter: 700, fitness 0.9696473256837329\n", - "Worker iter: 700, fitness 0.9625627286843846\n", - "Worker iter: 700, fitness 0.9512780189316739\n", - "Worker iter: 700, fitness 0.9507890253078547\n", - "Worker iter: 800, fitness 0.957835054717723\n", - "Worker iter: 800, fitness 0.9589499721702899\n", - "Worker iter: 800, fitness 0.9269872761742133\n", - "Worker iter: 800, fitness 0.9295052813890264\n", - "Worker iter: 800, fitness 0.9312138094575189\n", - "Worker iter: 800, fitness 0.9269872761742133\n", - "Worker iter: 800, fitness 0.9269872761742133\n", - "Worker iter: 800, fitness 0.9269872761742133\n", - "Worker iter: 900, fitness 0.9269872761742133\n", - "Worker iter: 900, fitness 0.9269872761742133\n", - "Duration: 313.6560937979957 s\n", - "f1 = 0.0678, softMax = 2.8031, mu2 = 2.5900, a3 = 0.3649\n", - " fun: 0.9269872761742133\n", + "Processing hyper voxel : 50/216 (139 neurons)\n", + "Processing hyper voxel : 44/216 (131 neurons)\n", + "Processing hyper voxel : 86/216 (111 neurons)\n", + "Processing hyper voxel : 80/216 (101 neurons)\n", + "Processing hyper voxel : 49/216 (93 neurons)\n", + "Processing hyper voxel : 85/216 (85 neurons)\n", + "Processing hyper voxel : 43/216 (82 neurons)\n", + "Processing hyper voxel : 51/216 (72 neurons)\n", + "Processing hyper voxel : 79/216 (66 neurons)\n", + "Processing hyper voxel : 14/216 (58 neurons)\n", + "Processing hyper voxel : 45/216 (58 neurons)\n", + "Processing hyper voxel : 56/216 (53 neurons)\n", + "Processing hyper voxel : 87/216 (53 neurons)\n", + "Processing hyper voxel : 8/216 (45 neurons)\n", + "Processing hyper voxel : 81/216 (44 neurons)\n", + "Processing hyper voxel : 92/216 (34 neurons)\n", + "Processing hyper voxel : 55/216 (32 neurons)\n", + "Processing hyper voxel : 7/216 (31 neurons)\n", + "Processing hyper voxel : 13/216 (30 neurons)\n", + "Processing hyper voxel : 122/216 (24 neurons)\n", + "Processing hyper voxel : 91/216 (24 neurons)\n", + "Processing hyper voxel : 38/216 (22 neurons)\n", + "Processing hyper voxel : 57/216 (19 neurons)\n", + "Processing hyper voxel : 116/216 (18 neurons)\n", + "Processing hyper voxel : 15/216 (18 neurons)\n", + "Processing hyper voxel : 9/216 (16 neurons)\n", + "Processing hyper voxel : 121/216 (15 neurons)\n", + "Processing hyper voxel : 74/216 (15 neurons)\n", + "Processing hyper voxel : 37/216 (15 neurons)\n", + "Processing hyper voxel : 93/216 (14 neurons)\n", + "Processing hyper voxel : 48/216 (12 neurons)\n", + "Processing hyper voxel : 115/216 (12 neurons)\n", + "Processing hyper voxel : 42/216 (12 neurons)\n", + "Processing hyper voxel : 84/216 (11 neurons)\n", + "Processing hyper voxel : 2/216 (10 neurons)\n", + "Processing hyper voxel : 78/216 (10 neurons)\n", + "Processing hyper voxel : 20/216 (9 neurons)\n", + "Processing hyper voxel : 73/216 (9 neurons)\n", + "Processing hyper voxel : 75/216 (9 neurons)\n", + "Processing hyper voxel : 123/216 (8 neurons)\n", + "Processing hyper voxel : 1/216 (6 neurons)\n", + "Processing hyper voxel : 39/216 (6 neurons)\n", + "Processing hyper voxel : 117/216 (6 neurons)\n", + "Processing hyper voxel : 19/216 (4 neurons)\n", + "Processing hyper voxel : 21/216 (3 neurons)\n", + "Processing hyper voxel : 128/216 (3 neurons)\n", + "Processing hyper voxel : 97/216 (2 neurons)\n", + "Processing hyper voxel : 98/216 (2 neurons)\n", + "Processing hyper voxel : 52/216 (2 neurons)\n", + "Processing hyper voxel : 62/216 (2 neurons)\n", + "Processing hyper voxel : 36/216 (2 neurons)\n", + "Processing hyper voxel : 6/216 (2 neurons)\n", + "Processing hyper voxel : 3/216 (2 neurons)\n", + "Processing hyper voxel : 88/216 (2 neurons)\n", + "Processing hyper voxel : 127/216 (1 neurons)\n", + "Processing hyper voxel : 114/216 (1 neurons)\n", + "Processing hyper voxel : 61/216 (1 neurons)\n", + "Processing hyper voxel : 110/216 (1 neurons)\n", + "Processing hyper voxel : 109/216 (1 neurons)\n", + "Processing hyper voxel : 90/216 (1 neurons)\n", + "Processing hyper voxel : 82/216 (1 neurons)\n", + "Processing hyper voxel : 54/216 (1 neurons)\n", + "Processing hyper voxel : 46/216 (1 neurons)\n", + "Processing hyper voxel : 12/216 (1 neurons)\n", + "Processing hyper voxel : 111/216 (1 neurons)\n", + "Processing hyper voxel : 157/216 (1 neurons)\n", + "Read 15460 out of total 15460 synapses\n", + "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", + "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 23.572881427396567\n", + "Worker iter: 100, fitness 23.572881427396567\n", + "Worker iter: 100, fitness 23.572881427396567\n", + "Worker iter: 100, fitness 23.572881427396567\n", + "Worker iter: 100, fitness 23.572881427396567\n", + "Worker iter: 100, fitness 23.572881427396567\n", + "Worker iter: 100, fitness 23.572881427396567\n", + "Worker iter: 100, fitness 23.574126771640593\n", + "Duration: 31.95130883099955 s\n", + "f1 = 0.5605, a3 = 0.7686, (exp(-(0.5*d/60e-6)**2))\n", + " fun: 23.572881427396567\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 6765\n", - " nit: 168\n", + " nfev: 963\n", + " nit: 47\n", " success: True\n", - " x: array([0.06779969, 2.80312291, 2.59003758, 0.36485757])\n", + " x: array([0.56053068, 0.76859414])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/dSPN_to_iSPN_np4/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0009065449994523078 seconds\n", - "Created connection matrix 0.0014334630104713142 seconds\n", - "Created gap junction connection matrix 0.00010591701720841229 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008828740001263213 seconds\n", + "Created connection matrix 0.0036544249996950384 seconds\n", + "Created gap junction connection matrix 0.0004751509995912784 seconds\n", "Creating population dictionary\n", "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", + "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 521, at 0\n", - "Created distance histogram (optimised) in 0.0009043779864441603 seconds\n", - "Saving cache to networks/dSPN_to_iSPN_np4/network-synapses.hdf5-cache\n", - "Plotting connection probability dSPN to iSPN (synapses)\n", + "n_synapses = 3048, at 0\n", + "Created distance histogram (optimised) in 0.003404754000257526 seconds\n", + "Saving cache to networks/scan_FS_to_iSPN_f1_a3_distdep/network-synapses.hdf5-cache\n", + "Plotting connection probability FS to iSPN (synapses)\n", "Centering in None : Keeping 75/75\n", "Counting connections\n", "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.06086956521739131\n", - "P(d<0.0001) = 0.03813882532418002\n" + "P(d<0.0001) = 0.5954825462012321\n", + "P(d<0.00015) = 0.48383838383838385\n", + "P(d<0.00025) = 0.26586102719033233\n" ] }, { "data": { - 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/dSPN_to_iSPN_np4/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_iSPN_f1_a3_distdep/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 174 connections\n" + "Plotting 844 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/dSPN_to_iSPN_np4/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", + "Wrote networks/scan_FS_to_iSPN_f1_a3_distdep/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", + "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_iSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np1_dd/network-config.json\n", + "Writing networks/scan_FS_to_iSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_iSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_iSPN_f1_mu2_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1}\n", - "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 73.98220411498914 s\n", - "f1 = 0.0541 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 13.610446244585981\n", + "Processing hyper voxel : 50/216 (139 neurons)\n", + "Processing hyper voxel : 44/216 (131 neurons)\n", + "Processing hyper voxel : 86/216 (111 neurons)\n", + "Processing hyper voxel : 80/216 (101 neurons)\n", + "Processing hyper voxel : 49/216 (93 neurons)\n", + "Processing hyper voxel : 85/216 (85 neurons)\n", + "Processing hyper voxel : 43/216 (82 neurons)\n", + "Processing hyper voxel : 51/216 (72 neurons)\n", + "Processing hyper voxel : 79/216 (66 neurons)\n", + "Processing hyper voxel : 14/216 (58 neurons)\n", + "Processing hyper voxel : 45/216 (58 neurons)\n", + "Processing hyper voxel : 56/216 (53 neurons)\n", + "Processing hyper voxel : 87/216 (53 neurons)\n", + "Processing hyper voxel : 8/216 (45 neurons)\n", + "Processing hyper voxel : 81/216 (44 neurons)\n", + "Processing hyper voxel : 92/216 (34 neurons)\n", + "Processing hyper voxel : 55/216 (32 neurons)\n", + "Processing hyper voxel : 7/216 (31 neurons)\n", + "Processing hyper voxel : 13/216 (30 neurons)\n", + "Processing hyper voxel : 122/216 (24 neurons)\n", + "Processing hyper voxel : 91/216 (24 neurons)\n", + "Processing hyper voxel : 38/216 (22 neurons)\n", + "Processing hyper voxel : 57/216 (19 neurons)\n", + "Processing hyper voxel : 116/216 (18 neurons)\n", + "Processing hyper voxel : 15/216 (18 neurons)\n", + "Processing hyper voxel : 9/216 (16 neurons)\n", + "Processing hyper voxel : 121/216 (15 neurons)\n", + "Processing hyper voxel : 74/216 (15 neurons)\n", + "Processing hyper voxel : 37/216 (15 neurons)\n", + "Processing hyper voxel : 93/216 (14 neurons)\n", + "Processing hyper voxel : 48/216 (12 neurons)\n", + "Processing hyper voxel : 115/216 (12 neurons)\n", + "Processing hyper voxel : 42/216 (12 neurons)\n", + "Processing hyper voxel : 84/216 (11 neurons)\n", + "Processing hyper voxel : 2/216 (10 neurons)\n", + "Processing hyper voxel : 78/216 (10 neurons)\n", + "Processing hyper voxel : 20/216 (9 neurons)\n", + "Processing hyper voxel : 73/216 (9 neurons)\n", + "Processing hyper voxel : 75/216 (9 neurons)\n", + "Processing hyper voxel : 123/216 (8 neurons)\n", + "Processing hyper voxel : 1/216 (6 neurons)\n", + "Processing hyper voxel : 39/216 (6 neurons)\n", + "Processing hyper voxel : 117/216 (6 neurons)\n", + "Processing hyper voxel : 19/216 (4 neurons)\n", + "Processing hyper voxel : 21/216 (3 neurons)\n", + "Processing hyper voxel : 128/216 (3 neurons)\n", + "Processing hyper voxel : 97/216 (2 neurons)\n", + "Processing hyper voxel : 98/216 (2 neurons)\n", + "Processing hyper voxel : 52/216 (2 neurons)\n", + "Processing hyper voxel : 62/216 (2 neurons)\n", + "Processing hyper voxel : 36/216 (2 neurons)\n", + "Processing hyper voxel : 6/216 (2 neurons)\n", + "Processing hyper voxel : 3/216 (2 neurons)\n", + "Processing hyper voxel : 88/216 (2 neurons)\n", + "Processing hyper voxel : 127/216 (1 neurons)\n", + "Processing hyper voxel : 114/216 (1 neurons)\n", + "Processing hyper voxel : 61/216 (1 neurons)\n", + "Processing hyper voxel : 110/216 (1 neurons)\n", + "Processing hyper voxel : 109/216 (1 neurons)\n", + "Processing hyper voxel : 90/216 (1 neurons)\n", + "Processing hyper voxel : 82/216 (1 neurons)\n", + "Processing hyper voxel : 54/216 (1 neurons)\n", + "Processing hyper voxel : 46/216 (1 neurons)\n", + "Processing hyper voxel : 12/216 (1 neurons)\n", + "Processing hyper voxel : 111/216 (1 neurons)\n", + "Processing hyper voxel : 157/216 (1 neurons)\n", + "Read 15460 out of total 15460 synapses\n", + "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", + "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 21.60191274299386\n", + "Worker iter: 100, fitness 21.849400404457946\n", + "Worker iter: 100, fitness 21.874709497878513\n", + "Worker iter: 100, fitness 21.874709497878513\n", + "Worker iter: 100, fitness 21.905969347538907\n", + "Worker iter: 100, fitness 22.26962423710351\n", + "Worker iter: 100, fitness 22.332250365783214\n", + "Worker iter: 100, fitness 21.635360101406587\n", + "Worker iter: 200, fitness 21.142950321654833\n", + "Worker iter: 200, fitness 21.177072158026782\n", + "Worker iter: 200, fitness 21.1769768841319\n", + "Worker iter: 200, fitness 21.142950321654833\n", + "Worker iter: 200, fitness 21.19277529250193\n", + "Worker iter: 200, fitness 21.193340815482152\n", + "Worker iter: 200, fitness 21.177072158026782\n", + "Worker iter: 200, fitness 21.1769768841319\n", + "Duration: 60.475623919999634 s\n", + "f1 = 0.4052, mu2 = 0.5951, a3 = 0.6849, \n", + " fun: 21.142281143315756\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 262\n", - " nit: 25\n", + " nfev: 2104\n", + " nit: 69\n", " success: True\n", - " x: array([0.05406797])\n", + " x: array([0.40520595, 0.59507581, 0.68493008])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_iSPN_np1_dd/figures\n", + "Creating figures directory networks/scan_FS_to_iSPN_f1_mu2_a3/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007914190064184368 seconds\n", - "Created connection matrix 0.009943448996637017 seconds\n", - "Created gap junction connection matrix 0.0003710850141942501 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008827110004858696 seconds\n", + "Created connection matrix 0.004513884000516555 seconds\n", + "Created gap junction connection matrix 0.00047288499990827404 seconds\n", "Creating population dictionary\n", "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", + "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 5355, at 0\n", - "Created distance histogram (optimised) in 0.00477676501031965 seconds\n", - "Saving cache to networks/iSPN_to_iSPN_np1_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to iSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", + "n_synapses = 4278, at 0\n", + "Created distance histogram (optimised) in 0.0043214749994149315 seconds\n", + "Saving cache to networks/scan_FS_to_iSPN_f1_mu2_a3/network-synapses.hdf5-cache\n", + "Plotting connection probability FS to iSPN (synapses)\n", + "Centering in None : Keeping 75/75\n", "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.26868905742145177\n", - "P(d<0.0001) = 0.22628294919139183\n" + "Requested: 10000000.0 calculated [5625.]\n", + "P(d<0.0001) = 0.6036960985626283\n", + "P(d<0.00015) = 0.5262626262626262\n", + "P(d<0.00025) = 0.3293051359516616\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np1_dd/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_iSPN_f1_mu2_a3/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", + "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 4454 connections\n" + "Plotting 1073 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np1_dd/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", + "Wrote networks/scan_FS_to_iSPN_f1_mu2_a3/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", + "Adding neurons: FS from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_iSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np2_dd/network-config.json\n", + "Writing networks/scan_FS_to_iSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_iSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_FS_to_iSPN_f1_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", - "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", - "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", - "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", - "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1}\n", - "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 10.397120012162098\n", - "Worker iter: 100, fitness 10.39733673872362\n", - "Worker iter: 100, fitness 10.39733673872362\n", - "Worker iter: 100, fitness 10.397120012162098Worker iter: 100, fitness 10.406006517075573\n", - "\n", - "Worker iter: 100, fitness 10.39733673872362\n", - "Worker iter: 100, fitness 10.397120012162098\n", - "Worker iter: 100, fitness 10.397120012162098\n", - "Duration: 227.16439880101825 s\n", - "f1 = 0.1979, mu2 = 1.5666 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 10.397120012162098\n", + "Processing hyper voxel : 50/216 (139 neurons)\n", + "Processing hyper voxel : 44/216 (131 neurons)\n", + "Processing hyper voxel : 86/216 (111 neurons)\n", + "Processing hyper voxel : 80/216 (101 neurons)\n", + "Processing hyper voxel : 49/216 (93 neurons)\n", + "Processing hyper voxel : 85/216 (85 neurons)\n", + "Processing hyper voxel : 43/216 (82 neurons)\n", + "Processing hyper voxel : 51/216 (72 neurons)\n", + "Processing hyper voxel : 79/216 (66 neurons)\n", + "Processing hyper voxel : 14/216 (58 neurons)\n", + "Processing hyper voxel : 45/216 (58 neurons)\n", + "Processing hyper voxel : 56/216 (53 neurons)\n", + "Processing hyper voxel : 87/216 (53 neurons)\n", + "Processing hyper voxel : 8/216 (45 neurons)\n", + "Processing hyper voxel : 81/216 (44 neurons)\n", + "Processing hyper voxel : 92/216 (34 neurons)\n", + "Processing hyper voxel : 55/216 (32 neurons)\n", + "Processing hyper voxel : 7/216 (31 neurons)\n", + "Processing hyper voxel : 13/216 (30 neurons)\n", + "Processing hyper voxel : 122/216 (24 neurons)\n", + "Processing hyper voxel : 91/216 (24 neurons)\n", + "Processing hyper voxel : 38/216 (22 neurons)\n", + "Processing hyper voxel : 57/216 (19 neurons)\n", + "Processing hyper voxel : 116/216 (18 neurons)\n", + "Processing hyper voxel : 15/216 (18 neurons)\n", + "Processing hyper voxel : 9/216 (16 neurons)\n", + "Processing hyper voxel : 121/216 (15 neurons)\n", + "Processing hyper voxel : 74/216 (15 neurons)\n", + "Processing hyper voxel : 37/216 (15 neurons)\n", + "Processing hyper voxel : 93/216 (14 neurons)\n", + "Processing hyper voxel : 48/216 (12 neurons)\n", + "Processing hyper voxel : 115/216 (12 neurons)\n", + "Processing hyper voxel : 42/216 (12 neurons)\n", + "Processing hyper voxel : 84/216 (11 neurons)\n", + "Processing hyper voxel : 2/216 (10 neurons)\n", + "Processing hyper voxel : 78/216 (10 neurons)\n", + "Processing hyper voxel : 20/216 (9 neurons)\n", + "Processing hyper voxel : 73/216 (9 neurons)\n", + "Processing hyper voxel : 75/216 (9 neurons)\n", + "Processing hyper voxel : 123/216 (8 neurons)\n", + "Processing hyper voxel : 1/216 (6 neurons)\n", + "Processing hyper voxel : 39/216 (6 neurons)\n", + "Processing hyper voxel : 117/216 (6 neurons)\n", + "Processing hyper voxel : 19/216 (4 neurons)\n", + "Processing hyper voxel : 21/216 (3 neurons)\n", + "Processing hyper voxel : 128/216 (3 neurons)\n", + "Processing hyper voxel : 97/216 (2 neurons)\n", + "Processing hyper voxel : 98/216 (2 neurons)\n", + "Processing hyper voxel : 52/216 (2 neurons)\n", + "Processing hyper voxel : 62/216 (2 neurons)\n", + "Processing hyper voxel : 36/216 (2 neurons)\n", + "Processing hyper voxel : 6/216 (2 neurons)\n", + "Processing hyper voxel : 3/216 (2 neurons)\n", + "Processing hyper voxel : 88/216 (2 neurons)\n", + "Processing hyper voxel : 127/216 (1 neurons)\n", + "Processing hyper voxel : 114/216 (1 neurons)\n", + "Processing hyper voxel : 61/216 (1 neurons)\n", + "Processing hyper voxel : 110/216 (1 neurons)\n", + "Processing hyper voxel : 109/216 (1 neurons)\n", + "Processing hyper voxel : 90/216 (1 neurons)\n", + "Processing hyper voxel : 82/216 (1 neurons)\n", + "Processing hyper voxel : 54/216 (1 neurons)\n", + "Processing hyper voxel : 46/216 (1 neurons)\n", + "Processing hyper voxel : 12/216 (1 neurons)\n", + "Processing hyper voxel : 111/216 (1 neurons)\n", + "Processing hyper voxel : 157/216 (1 neurons)\n", + "Read 15460 out of total 15460 synapses\n", + "connectivity_distributions = {(1, 2, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'FS': 1, 'iSPN': 2}\n", + "From hist_file: b'{\"FS$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 21.142281143315756\n", + "Worker iter: 100, fitness 21.142281143315756\n", + "Worker iter: 100, fitness 21.142281143315756\n", + "Worker iter: 100, fitness 21.142281143315756\n", + "Worker iter: 100, fitness 21.142281143315756\n", + "Worker iter: 100, fitness 21.142281143315756\n", + "Worker iter: 100, fitness 21.142281143315756\n", + "Worker iter: 100, fitness 21.142281143315756\n", + "Duration: 21.637412711999787 s\n", + "f1 = 0.4052, a3 = 0.6843, \n", + " fun: 21.19277529250193\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 943\n", - " nit: 46\n", + " nfev: 823\n", + " nit: 40\n", " success: True\n", - " x: array([0.1978512, 1.5666211])\n", + " x: array([0.40519724, 0.68429181])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_iSPN_np2_dd/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0014768379915039986 seconds\n", - "Created connection matrix 0.015294215991161764 seconds\n", - "Created gap junction connection matrix 0.0001362919865641743 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008723560004000319 seconds\n", + "Created connection matrix 0.0044444810000641155 seconds\n", + "Created gap junction connection matrix 0.0004888149996986613 seconds\n", "Creating population dictionary\n", "Done.\n", - "Warning: the analysis cube specified by sideLen is too large.\n", - "!!! Setting sideLen to None\n", + "Taking corner neurons: Keeping 150/150\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 13031, at 0\n", - "Created distance histogram (optimised) in 0.010722117993282154 seconds\n", - "Saving cache to networks/iSPN_to_iSPN_np2_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to iSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", + "n_synapses = 4280, at 0\n", + "Created distance histogram (optimised) in 0.004449125000064669 seconds\n", + "Saving cache to networks/scan_FS_to_iSPN_f1_a3/network-synapses.hdf5-cache\n", + "Plotting connection probability FS to iSPN (synapses)\n", + "Centering in None : Keeping 75/75\n", "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.32556879739978334\n", - "P(d<0.0001) = 0.2632751814593149\n" + "Requested: 10000000.0 calculated [5625.]\n", + "P(d<0.0001) = 0.6036960985626283\n", + "P(d<0.00015) = 0.5272727272727272\n", + "P(d<0.00025) = 0.32997650218194025\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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6AyLyvKrOTrUdRtvEEorfAjeq6tZ2V+5GSlyhqj9ubx2GYRhGaokqFIZhGIYBNo/CMAzDaIOkCIWIDBKRgcmoyzAMw+hedEgoRORib4bmFmCriKwVkW8nxzTDMAyjO9BuH4WIXIILebAON3Q2D5iJi0lzgarenyQbO53jjz9en3vuuVSbYRiGkUokWkZHWhSX4mZsjlPVr6nql4B9gZ1AQiGiReQIceGdN4qIisjcsHwRkWtEZJOI1IvIkvDYOiLSX0QeEhf6udLbL47n/Nu3b2+7kGEYRh8lqlDE6kLypu2XAA+pi+MCgKquBV4GxiZoRz5uMs6PcHM3wrkM+AkuANmBeMHFvDDOAR4BDsCFBzje238oQTsMwzCMMGK1KP4oIi+LyMTwDHVByWpwoQuCiEg/3EzMhF7RVfUZVb1SVRfgZnWH1inAj4GbVfVxdcHEzgMKgLO9MvvgxOE7qvq6qr4OXAicGAjZnEzef/99bFixYRh9hVhC8VVcrJnlInKtiGSF5f8NuEJE/iIi3xORn+Cm9o/18pLFGFzrZWEgQVXrceEFDvWSZuCE67WQ414FakPKJIWf//zn7L///vz1r39NZrWGYRjdlqhCoapP4uK6/BG4EnhPRGaGFLkEF4/+XFzsmF/josr+Bbc6VrIo8T63hKVvCckrAbZpyGu+t781pEwrROQ7IrJURJZu27YtbmP23ntvVJUf/vCHbN68Oe7jDMMweioxndmqWqOqP8JFmawFXhSR+0RkgLrVt76CiyB5JvBloExVz+8JsWxU9U+qOl1Vpw8ePDju477xjW9w2GGHUVFRwQUXXEBzczIXYzMMw+h+xDXqSVWX4ZzIlwKnAStE5Bwvb6Wq/l1Vn1bVdZ1gY+C1fWhY+tCQvM3AYAlZMcXbHxJSJimICDfddBNZWVk8/fTT3HXXXTQ0NLR9oGEYRg8l7uGx6tbNvQ03BPZ14EERWSgiZZ1mnaMc97CfFUjwRl0dzm6fxOu4kVMzQo6bgZvbEeq3SApjxozhG99wq0zefPPNvPLKK9TU2EJ/hmH0ThKeR6Gqn3ldTqfhup3eF5ErRKTdy6qKSL6ITPGWpEwDRnnfR3m+ht8CPxORr3rLLj6Ac14/4tn0MW6xpD+KyAxvicY/Ak+p6sr22hWL008/nfHjx/P5559z//33s3TpUioqKjrjVIZhGCklplCIyCEi8m8R2S4iNSLyvohcLyIF6pZ4nATch1vK8W3vAd0epuMWN3kHtwrWtd7+L738W4DbcU7zpcBeuAVTqkPqOBu3mMrz3vYuztHeKWRkZDBv3jzS0tL4+9//ztq1a1m2bBlbt7Y7KrthGEa3JNaEu1m4yXNfwq2h+z7OL3Al8IaI5KpqtapejOvm8QGveGsHFyZihKouUVWJsM318lVVr1HVvVQ1W1WP1LDF2VV1l6qeo6qF3naOqlYkYkei7Lvvvpxxxhn4fD5+9atf0a9fP9599102bNjQmac1DMPoUmK1KG4EGoGZqjpBVWfg3uRvwS3kPjdQUFXfwrUKLse9xX/cWQZ3N773ve9RUlLCihUrePzxxykqKmLFihWsWrXKJuUZhtEriCUUk4EXVPU/gQQvXMeNuOBR+4UWVlWfqt7qHbesE2ztluTm5nL55ZcDcPfdd7N582aKiopYu3YtH330ET6fr40aDMMwujexhGInMCnCjOwDQvL3QFXXqepJyTCup3DYYYcxa9YsGhoa+NWvfoWIUFxczObNm3nvvfdsroVhGD2aWELxEDAeeFNEfubNZL4NeAJoIblhOno8P/3pTyksLOS1117j+eefD4pFRUUFb7/9ts21MAyjxxJLKH4O3AFMBG4C7sYF56sETg93Jvd1Bg4cyI9+9CMAfvOb3wSHyhYWFtLQ0MDSpUttroVhGD2SWLGeWlT1EmAUcCxwBnAwMF5V/9lF9vUoTjrpJKZNm8auXbu44447gun5+fkANtfCMIweSbtXuOtNTJ8+XZcuXRp3+Y0bN7Jy5UqKior2yFu/fj1nnnkmTU1N3HnnnRx00O5I7I2NjdTX17PffvsxZMiQpNieKEuWLOHll19us9yRRx7JzJkzO98gwzC6C1FXuDOhILlCAXDfffdx5513MmLECB599FGys7ODec3NzdTU1DB+/HhGjRrVYduTwbXXXsvVV1+dajMMw0gtiS+F6jmv0zt0VpF0EflOR+roiZx77rmMHTuWDRs28Oc//7lVXmZmJoWFhXzyySc218IwjB5BLGf23cBHInKeiOQkUqmI5HjrXn8M3NUB+3okmZmZ/PznP0dEeOihh/jkk09a5aenp9tcC8MwegyxhOIsIBsXy2mziPxZRM4SkdJIhUVkjIicLSL34aK93gtk4daq6HPst99+nH766fh8Pq6//vo9xCAtLc3mWhiG0SOINeppPm5o7C+AauB84K/AahGpE5ENIvKR91kPrMLNvZiLG0J7JTBRVR/r5GvotvzgBz9g6NChfPTRR/z973/fIz8w16KystLmWhiG0W1pa4W7elW9ESjFDY99FNiEa2kMwwnJMKAfsAEnFF8FSlX1V6rap598eXl5/OxnPwPgzjvv5PPPP49YrqCgwOZaGIbRbYl3hbsWVX1MVb+uqiNxK8dNBr6IW8hosKqOVtW5qvqkqvo70eYexRFHHMExxxxDfX09N998c1Tntc21MAyju5LwwkUAqrpdVT9S1ddV9WNV3ZFsw3oTl156Kfn5+bz66qssWrQoarmcnBz69evHsmXL2LJlSxdaaBiGEZ12CYWRGIMGDeKHP/whALfeeiuVlZVRy2ZlZZGfn8/777/P+vXrbfisYRgpx4Siizj55JOZOnUqO3fubBXeIxIZGRnBuRb/+c9/WL58OWvXrmXHjh3U19f3GPHw+/3U1dWxfft21q5dy4cffsj69et73HUYRl+n3etcG4mRlpbGvHnzOOuss/jXv/7FnDlzmD59etTy6enp9O/fH5/PR21tLbt27Qo+WNPS0igqKqK4uJiCggLy8vLIzs5GJOrEyk6nubmZuro66uvrqayspLKyspVjXkTIyMho1aUmIhQWFlJUVERhYSE5OTnk5uaSnt6heZ6GYSQZE4oupLS0lPPPP58//vGP3HjjjTzyyCOtwntEIj09nfT09FblAm/qFRUV+P1+RIS0tDQKCwvp378/BQUF5ObmkpOTk3TxUFUaGhqoq6ujtraWiooKKisrg/NAVJWMjAyysrIoLCyMeX6/309jYyMbNmzA7989/iEnJ4eioiKKiorIy8sL+m4Mw0gNJhRdzNy5c1m0aBFr1qzh3nvv5Qc/+EHCdaSlpZGdnb2HeATe5gMtj8Abe3FxMYWFhUHxSEuLr8expaWF+vp66urqqKqqorKykurq6lZdRllZWWRlZZGbm9uu6+jXr18rEVBVWlpa2L59O5s3bw6mB7rjiouLyc/PJzc3l+zs7LivxTCM9mNC0cVkZmYyb948vvWtb/Hggw8ye/Zsxo0b1+F6o4lHY2Mjn332WfCNXUTIz8+nf//+FBYWkpeXB9CqlVBVVUVFRQWNjY3A7lZCZmYm+fn5nfpwFhEyMzPJzMxsle7z+aipqWnVBQduDkpAQAJdVxkZdlsbRjKx/6gUsP/++3PaaaexYMECrr/+eu69995O6ZeP9sbe1NS0R3fPa6+9hqoGH9RZWVltdot1Jenp6eTk5JCTszvsmKrS3NzM5s2b2bhxYzC9qKiIiRMnBkXQMIyOYe32FHHRRRcxePBgPvjgAxYsWNBl5xUR+vXrR0FBgfMDfPopR99+O0WffkpxcTFFRUU95q1cRILDiQM+jaKiImpra3njjTfYsGGDjawyjCTQLqEQkRkicoWI/MHbrhSRQ5NtXG8mPz+fyy67DIA//OEPrfrju4ylS+HHPya3shJ+/GP3vReQl5dHfn4+K1asYPny5dTX16faJMPo0SS0cJGI7I2L53RgIMn7DFSyFPiGqq5MmoVdQLIXLkqESy+9lMWLF3P44Ydz2223dd0QV08kCA1EmJ0Nv/0txBi2mygtLS3873//48UXX6ShoYHS0lLGjBnDmDFjGDVqVKePZqqpqUFVmThxIkOHDk3pEGLD6OZ0fIU7ERkJvAkMBaqAfwNrvexS4ESgCNgKHKSq69ttbheTSqHYunUrp59+OrW1tdx8880ce+yxHa6zTSKJRIAkiIXP5+Odd97h+eef56WXXoo6Ez0tLY1hw4YxZsyYVgIyZsyYYOyrZNDS0kJ1dTVDhgxhwoQJNtTWMCKTFKF4APgGrkXxQ1WtDMsvBH7nlXlQVee209guJ5VCAbBgwQJuvvlmBg4cyGOPPUZhYWFS6o1ILJEI0A6xUFXef/99Fi5cyKJFi9ixY3f4r7KyMmbPns3QoUMpLy+nvLyctWvX7uFQD2XQoEFBAQkVkUGDBrWrVaCq1NTUkJaWxj777MPgwYMTrsMwejlJEYrNQAMwTlVbopTJAFYD/VS1pB2GpoRUC4Xf7+eCCy7gvffe45RTTmHevHlJqXcP4hGJAHGIharyySefsHDhQhYuXNgqjPrw4cOZPXs2xx13XNThv01NTaxfv561a9e2EpB169YFh+aGk5+fHxSOUAEZNmxYXCPHmpqaqK2tZfjw4YwbN26PYbiG0YdJilDUA0+o6tltlPsb8BVVTXwGVoqYJKIPpdiGNcDZQAvwJ+CA1JoTk7XAQm9bG5I+BJgFHAdMIsZd1wZ+4HOg3Ku/PGS/KsoxWcAoYAxwPHBkO847zUZIGX2bqP+yiYyBLAf6x1GuCFiXQL0GUAZ8E7gHuAF4BLcaVHfhc+B5nDiErgBeDBwLzAb2JznjrdOA4d52WEi6AjuJLCBbcUssrgIWeTZdBgxIgj2G0ddJRCgeBK4WkQnRRjWJyETgaOCXyTCuq8idNo1pKex6CvDNpiYWnnUW69at4/4LLuC73/1u8ipPpNvJY3u/frzwla+wcMUK3nvvvWB6fn4+Rx11FLNnz2b69OldNudCgIHeFt4hVlNTw9q1a3n77be55557eKG+nreKirj00kuZPXt2VL+G3++nurqa7OxsKisrk/43NYzeQCJdT+nAfNyqdr8EHlbVKi+vAPg6cBXwGvC1nrTKXap9FKG88847fPvb3yYjI4OHH36YsWPHJq/yOMSiAlgMLExLY5kqfu/+yM7O5ogjjuC4447j0EMPJSsrK3l2JZlNmzZxww038MYbbwBw+OGHc8UVVzBkyJCoxzQ0NFBfX09ZWRmjR4+2CLZGXyRxH4WIrIlyTCm7501UeJ/FIfnrAb+qJvEJ17l0J6EAuOGGG3jiiSfYd999Oeuss8jIyAjGWgrfj5QWumVmZrZ+6EUQi1rgZVy30uuAz0vPzMzk0EMP5bjjjuOII45oFT6ju6Oq/Otf/+L222+npqaG/Px8LrnkEk466aSYrYvKykoKCgrYd999kzpE1zB6AO0Sio60CFRVe8wrWXcTiurqak477bRWQ0w7QmAtiKC4ABlVVWTg+h43A4ExRunAgZMmMfv005k5cyYFBQVJsSFVbN26lZtuuolXXnkFgIMPPph58+YxbNiwqMfU1dXR1NTE3nvvzYgRIyxCrdFXaJdQjO7IGVW1xzi0u5tQALz33nv84x//oKmpiebmZlpaWvD5fMH9wGf4fnhac3NzXPGOpgKzMzI4+sYbGXD00Z12XalAVXn++ef59a9/TWVlJTk5OVx88cWcdtppUUXA5/NRVVVF//792WeffdoVRt0wehgdHx7bm+mOQpFMfD5fZEF55x2ar7uOwqYmBnZC+I7uxs6dO7nlllt44YUXAJg6dSq/+MUvGDVqVNRjampq8Pl8TJgwgWHDhlkIEKM3Y0IRi94uFDFZupS6n/2M3F/9qtNEoqWlhdra2mAY8wCB7+np6WRkZARX8+vsrp4XX3yRW265hR07dtCvXz++973vcdZZZ0V1YAdCgAwaNIiJEyd2q/DrhpFEkisUIjIDmIkb6g6wEViiqq+3x7pU06eFAnjqqac48cQTk15vYLGh9PR0xowZw1577RVcQyLQpdbY2Bhca7u+vp7GxkZ8Pt8eb+4BEQmISkfFpLKykttuu42nn34agH333Zerrroq6igzVQ2K3T777MOQIUOsdWH0NpIy4Q4RKQUeBg4Jq1i9/NeBc1R1bcImGr0Gn89HdXU16enpjB07lmHDhrUKlZGVlRVzUaGWlpagkDQ1NdHY2BgUksDSrC0tLXs8qNPS0khPTycrK6vNuR1FRUVce+21zJo1i5tuuokPP/yQr3/961xwwQXMnTt3j+MDKwM2Nzfz/vvvs9deezFq1Kg9bIj04tXetMD3vLy8bj0c2ej9JDKPYgCwDBgN1OCixwaG0JYBXwbycRNlp6nqrmQb21lYiyI5LYpAC0JEKC0tZfjw4Z32gPP5fK3EpLm5Odgy2bVrF01NTRQUFMQ1H6KmpoY77riDJ554AoDx48dz1VVXMXHixIjlVbXV2uEissdDPjwtICjhaW0dF0gbPXo0I0aMMMEwOpOktCguxYnEAuB7qtpq7KYnJHcDp3llr0zcTqMn4vf7qampAWD06NGMHDmy0x9okZZGDdDS0sJnn31GeXk5aWlp5Ofnx+wmys/PZ968ecyaNYsbbriBTz75hPPOO4/zzjuPCy64YI9rEZHOjfAbhs/nCwZLNMEwUkEiLYqPcHGcylQ1YmhPEemHa2VUquqkpFnZyViLon0tioBAqCqjRo1i5MiR3Wqth7q6OlatWsXWrVvJycmJywldV1fHnXfeyfz581FVxowZw9VXX83kyZO7wOLYhLbYTDCMTiDq21QiHsFS4JVoIgHg5b3ilTV6KYH4SNXV1QwfPpxDDz2UcePGdSuRAMjNzeULX/gCBxxwAGlpaVRUVNDSEjFCfqtjfvrTn3LPPfcwatQoysvLOf/887n99ttpSCBOVmeQnp5OUVEReXl5rF27lldffZU1a9bQ1NSUUruM3k8iQtEMxDPrKMcrmzRE5BoR0bBtc0i+eGU2iUi9iCwRkX2TaYOxu2++qqqKkpISZsyYwfjx47v9cNEBAwZw8MEHM2HCBOrr66mqqmpzEuKUKVN45JFHOO+88wB4+OGHOfPMM1m2bFlXmBwTEwyjq0nER/ExcJSIlKjq5kgFRKQEFz32w2QYF8ZK3JDcAL6Q/cuAnwBzvXJXAYu8SLfVnWBLnyKwOpzP52PYsGGMHj26x81UTktLY8SIEQwePJjy8nI2bNhAdnZ2zPhV2dnZXHzxxRx99NH88pe/ZPXq1Vx44YWcfvrpXHTRRTFHboUSOiS4sbGRpqam4Bb+PTStsbGRjIwMjjnmGPr33zPCf0Awwn0Yw4cP73atO6Nnk4iP4iLcUqcf4ZZCfSks/yjgDmBfL/8PSTNS5BrgNFXdo6NYnJdyE/B7Vb3BS8vBLVHwU1X9Y1v1m48iso8iMHegpaWFkpISSktL4344RmPJkiW8/PLLbZY78sgjmTlzZofOFYuqqipWrlxJZWUl+fn5ba5019zczH333cd9992Hz+dj6NChTJgwIa4Hfkff9Pv168dXv/pVzj333JgRcMN9GCYYRoIkZYW7DNyaMEfi5k1swq0bo7iFxYZ7J1oMHKeqvihVJYwnFJfhotU2Am8AV6rqGhEpwy2/epCqvhVyzNPAdlU9r636TShaC0WoQAwdOpTS0tJOjaR67bXXcvXVV3da/dFQVbZs2cInn3xCS0sLBQUFbU7k+/TTT7n22mtZsWJFQufKzMwkKysruPXr16/V92hpGzdu5LXXXgvWcdJJJ3HeeefFDGpogmG0k44Pj1XVFhE5HrgO+C67FyELUIMbHvuLZIqExxu4bqUVuBU3fw685vkhAmtzbwk7ZkuYfa0Qke8A3wFixvrpS6gqdXV1NDc3M3jwYMaMGdPjo8fGQkQoKSlh4MCBrFu3jnXr1pGRkUFeXl7U4bR77703DzzwAG+99RaNjY3Bh3u/fv3IzMyM+LDPysrq0EzylStXcv/99/Piiy/y+OOP8+STT3LCCScwd+5cSktL9yhvXVJGsmlvCI9sYBqtQ3gsU9UuGRYiIvm4Ybg3A/8DXgVGq+r6kDL3AcNVdXZb9VmL4imOPvpompqaGDhwIGVlZV06TyBVLYpwamtr+fTTT9m+fTu5ubnd7qFaXl7OAw88wHPPPRcMc3LsscfyzW9+k/Hjx0c9zloYRpx0fHisiLwtIgsAVLVBVV9V1b9726tdJRLe+WtwDvO9ccspAAwNKzY0JM8IIxCor6KiAnCTzqZPn86UKVO6VCS6E3l5eey///5MnToVVaWiogKfL9mN4/YzZswYrr32Wh5//HFOOeUU0tPTWbRoEWeffTaXXHIJH3zwQcTjwkdJvfbaa6xZs4bGxqgj3Q2jFYm0hyeS5GGv7cVr0UwEPsf5STYDs8LyD8cty9rnUVUaGxupqqqioqKCyspKWlpaGDRoUHAi2dSpU3tNC6kjiAgDBw7kkEMOYdy4cdTU1LQK19EdGDFiBPPmzeOf//wnZ511Fv369eOVV15h7ty5fP/732fZsmUR7Q0VjHXr1plgGHGTyPDYdbhYTl2OiNyKiy21Huej+AWQB/xFVVVEfgtcKSIrgE9wPowa4JFU2JtqAnGQQkfbFBQUUFJSQlFREfn5+db10Abp6emMHj2aoUOHsnr1aj7//PM2h9PGy8qVK/n000/bLLf33nszYcKEqPlDhw7lJz/5Cd/85jd55JFHeOyxx3jzzTd58803mTJlCueffz4zZsyIGIm3sLAQn88X9M2MGjWKoqKiPUK+BzaLlNu3SWTU0/XAxcBYVd3eqVbtee5HgSOAQcA2nF/iF6r6kZcvwNXAhUB/nPP7B6oauS0eRk/3UQTCdQciqqanp1NcXMygQYPIz88nPz8/ZnC8VPoIqhcvZvkppzDliScoOOqolNgQDxUVFaxcuZLq6moKCgrajE4bD6qKquL3+3nuueeYNWsWfr8fv98fTPf7/WRlZZGTk9Pmw7qqqor58+fzt7/9jaqqKgD22WcfvvWtb3HEEUfEXM0vEEI9GgEBCYzeyszM3GMLF5dQwTGh6REkZXhsDrAE1wr5vqq+kRTTugE9SSgC3UhNTU3BB01OTg4DBw6kf//+5Ofnx/VQCSVVQlG9eDGrTjwRf10dabm5jHvqqW4tFn6/n88//5xVq1bh9/vJzc1t9UAP3w9dqClS9FjY/QB+4YUX+PKXvxx8GIduW7ZsYefOnaSnp5OXl9fmCKra2loWLFjAww8/zM6dOwEoKyvj/PPPZ9asWXFF1A0lVNAibaHXGh79NrCfkZFBRkYG/fr1o6SkhMGDB1urtvuRFKF4CcjGrUWhuOGn64D6CMVVVY9J3M7U0J2FwufzBYUh8I9YVFTEgAEDgv3NHQ0MlwqhCBWJAD1BLACamppYu3YtW7dubfVgD3/IBxZYCn/TDl3JLyAgbf0Nqqur+eyzz9i82Y3PaKuVCNDQ0MCTTz7JQw89xJYtbvT4yJEjmTt3LnPmzGlzkmEyCYiKz+cLxswaNGgQI0aMoLi4uNNXNTTiIilhxmeGVVjC7jkM4XQfz18PxefzUVVVRVZWVrC1UFBQENcbZXcnkkgA+OvqWHXiid1eLLKyshg/fnzMIanJpqCggEmTJlFWVsamTZtYv349Pp+PvLy8qA/87OxszjzzTE499VSefvpp7r//fj777DOuu+46/vSnP3Heeedx0kkndUmsrrS0NNLS0oKtisCosm3btpGZmcnIkSMZMmRIh2f+G51DIi2KIxOpWFXbjtPQTehuLYqASOy9994RV1FLNl3ZoogmEqH0lJZFsmiPn6a5uZktW7ZQXl5OY2NjXGHUW1paWLRoEffddx/l5eUADBw4kHPOOYdTTz01ZfG7QtdULyoqYsSIEQwaNCgpfiAjIZK7ZnZvozsJRXNzMzU1NUyaNClmmIZk0lVCEY9IBOgrYtFRP43f72fHjh2Ul5dTXV1NZmYmubm5MV8u/H4/S5Ys4d5772XlypWA85VkZ2e3mlkeOus8UpiR9uQPHTo0YoBD2O1/a2hoIC0tjb322ou99tqLwsJCc4Z3De0XChFJAw7ErW7XCCxX1XVJNS/FTBLRh1JthGF0MYoLaXA/8G4XnTMtLY2DDjqIOXPmMHPmzKitGL/fH1wbPScnh5EjRzJ48OBuH9K+h9M+oRCRw4EH2HMhon8C31TVyiQYl3JMKIy+ThPQtGRJqxDnkcKex5MWab+5uZmGhgbWrFkTXDwqOzubo446ijlz5nDggQdG7Wpqamqirq4OEWHAgAGMGDGC/v37Jzx6y2iTxIXCi8r6Lm5iG8Aubz8L9zKySFWPT66dqSHVXU/19fX4fD6mTp2akvAZXdH1lEi3U4De2v3UVX6axsbGoOO7paWF3NzclC+dWllZyaJFi3j22Wd5993d7ZiBAwcye/Zs5syZw4QJEyJ2Nakq9fX1NDU1kZGRwfDhwykpKenUyMZ9jHYJxZ24KLEvABeqarnXDfUl4M+4yW+HhIb27qmkUihqa2sREaZOnZqyG958FF1HKn6DlpYWtm7dSnl5OfX19UmbYd5RNmzYwHPPPcczzzzD+vXBeJ6UlZVxwgkncMIJJ1BSEnlgZWCSoN/vp6CggJEjRzJo0KAuHfLbC2mXUKzAicHY8C4mETkX+AtuTYibk2hoSrCuJ8NIHYqL8PkMsBC36EyAA4A5wDFA7w143z2YptouoagFXlbVORHyBuMm3N2lqj9IlqGpwoTCMLoHLcDrONH4D270DLj+7iOAE4BDAWs3JJ9YQhFroHIOUcJ0q+o2rw+xVwxByJ02jWld1PWkqlRVVVFcXMx+++3XZ5vKPXlmdnvpjn6auro6NmzYwMaNG1uF3ogWciQ0v42BMDHzc3NzI977Gbiwz4cDNTU1vPTSSzz77LMsXbqUF1R5ASgqKuK4445jzpw5TJ48OaI/I+AAT09PZ9SoUQwbNsxGTHWAWC0KP/CAqp7fnvyeRFf5KAKzUYcMGcKkSZP6/ISinhbrKRl0Vz9Nc3MzPp8v5sO9raH08Rzr9/vZuXMnmzZtor6+HhGJKhqhbN68meeff55nnnmG1atXB9NHjhwZ9GeMHDlyj+MCizYBlJSUMHLkyF69amMHaVfXkx9YAPw0yrFrY+WHrjbX3ekKoQiIxLBhw5g4cWKPD8ORLHpK9NhkYrPTd6/Lvn37djZt2hSM/9SWaKgqn376Kc8++yzPPvss27fvDmS93377MWfOHGbNmkVxcXGr40LnZRQXF1NaWsqAAQNsIl9r2i0U7Z22raraY16XO1so/H4/FRUVlJaWMm7cOLs5w+guS6F2JbHEoreLRDjtFQ2fz8fSpUt55plneOmll6ivd/FJ09PTOeKIIzjzzDM54IADWv2/qSoNDQ3BsCdjxoxh8ODBfb5179FuoWg3qtpjXpk7UygCcZvGjh1LaWmpiUQE+qJQQN/007RFe0Wjvr6el19+mWeeeYY33ngjuITtuHHjOPPMMzn++OP38FEE/BgZGRlBP0YfD31usZ5i0VlC0dLSQlVVFfvssw8jRozoqJm9lr4qFNA3/TTx0l7R2L59O48//jj/+Mc/2LFjB+Ac4F/5ylc4/fTT2WuvvVqVD/VjDBs2jBEjRvTVSXwmFLHoDKFobm6mtraWfffdN+qkIcPRl4UC+qafJlHaIxpNTU28+OKLPProo3z44YeAizV15JFHcsYZZzBt2rRWLXy/309tbS0+n4/+/ftTWlpK//79+1IvQFLWozDiJBABc//992fQoEGpNsfo5hQcdRQvXXIJh5tIREVEgsv6jh49upVoVFa6+cDhopGVlRUcEfXBBx8wf/58Fi1axOLFi1m8eDHjxo3jjDPO4IQTTiA7O5u0tDQKCgqCovTOO++Qm5sb9GP05dhS1qIguS2KhoYGmpubmTJlyh4jLwxYsmQJL7/c9lIlRx55JDNnzux8g7oJfb1V1V7CWxptDbndvn07//jHP3j88ceD3VKFhYXBbqnw0P6NjY3U19eTmZnJ6NGjKSkp6c1+DOt6ikWyhKKurg5VZerUqTZW20gIE4qOExCNbdu2Bbunoq3P0dzcHOyW+uCDDwDXLRUYLRXeLdXS0kJNTQ0iwvDhwxkxYkRvXI3PhCIWyRCKmpoaMjIymDp1aspWCjN6Btaq6nwC85Y2btzI1q1bgej+jNBuqUAI9LFjxwa7pUIDKPr9fmpqavD7/cE1v/Py8ujXr19v8GWYUMSio0JRXV1NdnY2U6ZMsTABhtHNaGxsZOvWraxfvz5mK2P79u088cQTLFiwINgtVVBQwMknn7xHt5SqUldXR3NzMyJCeno6hYWFFBcXU1BQQG5uLjk5OT1NPEwoYtERoaisrKSgoID9998/5bH+DcOITqCVsWHDBrZt24aqkpeXt0crI9AtNX/+fN5//33AdUsdfvjhnHnmmUyfPn0PAfD7/cGFmvx+PyKCiATFo7CwMCge3TgqgwlFLNojFCtWrADcgiuTJ0+2mZ2G0YNobGxky5YtfPbZZzFbGR9++CHz589n4cKFwW6psrIyzjjjDObMmRNzXQ+/309zc3NQPGD36K3i4mKKioqC4tFNRlSZUMSiPULx9ttvU1payqRJk7rLH9kwjAQJbWUEfBmRWhk7duwIdksF4ksVFBRw4IEHMnbsWMaNG8e4ceMYMWJEzOeBqgbFIzB7HJz/pLi4mOLiYnJzc8nNzU3Fy6cJRSwSFYpt27axa9cuxo0b152bkYZhJEBDQwNbt25l3bp1NDU1RWxlNDc389JLLzF//nzee++9Pero168fZWVljBs3rpWADBw4MKq/IpJ4qCo5OTlB8cjLyyMnJ6ezu7eTIxQiUgpcgVtwahgQbUBxrw4KaBhG7yUQxHPjxo1s27YNiDxiqry8nI8//phVq1axatUqVq9ezZYtWyLWWVRUFBSNwFZWVhZ1iK2q0tLSQlNTU7DLCyAjIyPo98jPzycnJyeZfo+OC4WI7Av8FyiMVWGA3hwU0DCMvkFDQwNbtmxh/fr1UVsZoVRVVbFmzZqgeAS2QCypcIYNG9aq5TFu3DhGjx4dtdvJ5/PR1NREc3Nz0GkOTsiKiopa+T3aMTEwKULxJHASbpXCa4EVqlqdqCXdERMKwzBiEWhlbNiwIeijiGfBJXCtgy1btrRqeaxevZry8nKam5v3KJ+RkRFckiC09VFSUhKx5RDougpsAfFIT08Pikdo6yOGDyUpQrETt+75BFXd8+p6MCYUhmHES2grI/CgFxEyMjLIzMwkIyMjrvkTLS0trF+/vlXLY/Xq1WzcuDFi+UDcqbKyMsaOHcvYsWMpKytjyJAhEc/n8/mCvo/Q53xubi6FhYXB1kdubi5ZWVlIDKMTEYpa4ClVPSOuA3oQJhSGYSRKINpsQ0MDdXV1VFdXU1NTQ13I+iKq2kpA4hkhWVdXt0f31Zo1a9i5c2fE8vn5+ZSVlQUFJPAZyYEeyfcRsHHJkiXnX3311fdHOkciDudPgMQWiTYMw+ilBKLNhsd18/v9wQjS9fX11NTUBEWkpaUl+PAWkaCAhLZCcnNzmTx5MpMnT25Vb0VFBatXr2bNmjWtPisrK3nvvff2GIVVWFi4h3iUlZUxYMCAPbrMvHke46NdayJCcQ9wq4iUquraBI4zDMPoM6SlpQX9Af3792+V19zcTENDAw0NDdTW1lJdXU11dTVVVVWtyqWnp5OZmUlmZmbQL1FcXMy0adOYNm1asJyqsnPnzqBoBARkzZo1VFVVsXz5cpYvX96q7v79++/RAikrKwNoIQpxC4Wq3ikiBwEviMjFwPOq2qHlUg3DMPoSgYd/QUEBgwcPDqb7/f6ggDQ0NARbIDU1Na3mVqSlpe3RChk4cCADBw7kwAMPDNanqmzfvn0P8VizZg27du1i2bJlLFu2rJVt11xzTVS74xYKEVnj7ZYCTwEtIvI5EEksVFXHxlu3YRhGXyYtLS3oWA4lMKIpICABX0h4KySSL2Tw4MEMHjyYQw45pFW5LVu2tBKPwAisWCTS9VQasi9AJjAqSlmb7m0YhtFBRISsrCyysrIoLCxslRdohQQWV4rUCgnUESoiJSUllJSU8MUvfrFVXc8880xUOxIRijEJlDUMwzA6kdBWSCxfSF1dHVVVVdTW1kb0hQREJBaJ+CjWJXANhmEYRooI9YWEEjoiq6GhodWILGJMuOsx8ZgMwzCMjhE6IiucxYsXXx/tuHZFjxWRGcBMYLiXtBFYoqqvJ1xZN8Am3BmGYSSpReFFj30YCLjRAxWrl/86cI7NszAMw+g9JDI8dgCwGBgN1AD/BgJDZsuALwOHAi+JyDRV3ZVkWw3DMIwUkEiL4lKcSCwAvqeqO0IzPSG5GzjNK3tlsow0DMMwUkcia0Z8BfgcODdcJABUdSdwrlfm5KRYZxiGYaScRISiFHhFVRujFfDyXqH15LwuRUS+LyLlItIgIstE5PBU2WIYhtEbSEQomoHcNktBjle2yxGRM4A7gBuBqcBrwLMiEm0GuWEYhtEGiQjFx8BRIlISrYCXd7RXNhX8H/CAqt6jqh+r6sW4rrDvpcgewzCMHk8iQvFXIA8XPfbo8EwROQpYiGt1PJQc8+JHRLKAaZ4NoSzEjcYKL/8dEVkqIksDC6gbhmEYe5LIqKe7gVOBI4FFIrIJKMfNoRiDm3wnuCG0dyfZzngYBKQDW8LStwDHhhdW1T8BfwI34a7TrTMMw+ihxN2iUNUW4HjgVqAWJwyHAYcDI7y0W4E5quqLVo9hGIbRs0hoZrY3qukyEbkK180TGsJjmao2JNm+RNgO+IChYelDgc1db45hGEbvoF1BAT1BeDXJtnQIVW0SkWXALOCxkKxZwOOpscowDKPnE1MoRGQk0B/Yoqrhff/hZUuAIcBOVd2QPBMT4jbgIRF5Eydk3wWGkRqfiWEYRq8gavRYEcnHxXLKBKap6pqIBXeXLwOWAXXAOFWtT7KtcSEi3wcuA/YCPgAuUdX/tHFMNbCyC8wzui+DcN2XRt+lr98D21X1+EgZsYTiQuAu4DJVvTWes4jI/+Ec2heo6n3tNLbLEZGlqjo91XYYqcPuAcPugejEGvX0ZaARJxbxcrd3zMkdsMkwDMPoRsQSiv2Bt1S1Nt7KVLUOeBOY0kG7DMMwjG5CLKEYDLTHKb3RO7Yn8adUG2CkHLsHDLsHohBLKJqBrHbUmQW0tM+c1ODN0jb6MHYPGHYPRCeWUGwGJrajzonsGUbDMAzD6KHEEor/AfuIyL7xViYik4FJwOsdNcwwDMPoHsQSir/hgvzd7UVmjYmIZOJGPal3bLfHFjnqvYjIESLyLxHZKCIqInPD8kVErhGRTSJSLyJLwl+KRKS/iDwkIpXe9pCIFHfldRjtR0SuEJG3RKRKRLaJyL+9l9nQMnYfxEFUoVDVZ4D/4EJ0LxGRL0QrKyL7Ay8DM4D/esd2a2yRo15PPm7C5Y+ASJM/LwN+AlwMHAhsxUVFLggp8whwAC4Y5vHefpeH0DfazUzgTtwz7Gic7/QFERkQUsbug3hQ1agbbvTSp4AfF3BvOXAPcIO33eOl+bwyq4ChsersLhvwBnBPWNqnwE2pts22pP+ta4C5Id8Ft6DVvJC0HKAauND7vg+udfzFkDKHeWkTUn1NtrXrPsj3nlVftvsgsS1mmHFV3QZMxymqAl8AvgVc7m3ne2mB7qYDtY2YUN2BRBc5MnodY4ASQv7+6kLOBFrQ4FrHNbiWZoBXceH07R7pmRTgelF2ed/tPoiTNqPHqmolcI4XWvxE3AM2ME9iGy6+09OqurrTrEw+CS1yZPQ6Asv5Rvr7Dw8ps029V0gAVVUR2RpyvNGzuAPXAxIYbGP3QZzEHWZcXVDA33WiLYZhGJ2CiNyG6zI6TG1htYRJZM3s3oQtctS3CfyNY/39NwODRUQCmd7+EOwe6VGIyO3AWcDR2joKtt0HcdInhUJVm3BdZrPCsmbRui/S6J2U4/7Jg39/EcnGLesb+Pu/jnN+zgg5bgaQh90jPQYRuYPdIrEiLNvugzhp1wp3vQRb5KgX462nMs77mgaMEpEpuIW11ovIb4ErRWQF8Anwc5zT8hEAVf1YRJ4D/igi3/Hq+SPwlKra2iU9ABH5A3AuLpr1Lm9xNYAaVa3xfA2/xe6Dtkn1sKtUbsD3gbW40OjLgCNSbZNtSfvbzsSNxgvfHvDyBbgGNzyyATcPaHJYHf2BvwJV3vZXoDjV12Zb3PdApL+/AteElLH7II4t6sJFhmEYhgF91EdhGIZhxI8JhWEYhhETEwrDMAwjJiYUhmEYRkxMKAzDMIyYmFAYhmEYMTGhMAzDMGJiQmEYhmHExITC6DREZK23DGlg84tItYh8JiIviMhNbaycGDi+tAvN7lOIyCHe3+XmVNsSDRHJFZHPvWVNpe0jjGRjM7ONTkNE1gKjgefZHWkzF7eeyVSgyEv7N/AdVd0c5fgxqro2CXZ0qJ7ehvfQfQPYGyhT1V1tHJIyROQi4P/hVir8S6rt6WuYUBidRsgD+ihVXRKWlwZ8GRecsQwXkO1QVd0RUmYskAmsVtXmJNhhQhGCiJwNPAxcp6pXpdqeWHirUq7DLbk8Rl0EaKOLsK4nIyWoql9V/4lbancVMB74TViZ1aq6oiMiYcTkx7ggefel2I428YThr7gIz6en2Jw+hwmFkVK87o4fe1/PCQkFHdNHISITROQvIrJORJo838daEXlCRE71yswVEcW1JgDKw3wmpSH1HSwivxaRpSKyxatzk4gsEJFDItkeqMfbP0NEXheRGs+WF0XksGjXLSJ5IvJT75gKEakXkTUi8piIzIlS/jKvn77KK/+hiFzjhVRPCBE5EDgQeDlSK0tEJnnX91GU44s838bWsPTQ32Su93vWishmEblXRAZ7edkicq2IfCIiDSKyXkRuEJHMGGYHupy+n+j1Gh0k1eFrbeu9Gy6EuwIz2ygnwA6v7FkRji8NK78fLtyzAh8DjwMLcIvM1AHPeeUOAx7ArS+gXpkHQrZBIXW+ALQA7+J8JguA973jWoDTI9gdCFv9S9yKiS8D8z2bFBe+fkaE40YDK7wy1cCzwKO4dVFqgCVh5UcAH3rlt+J8Pv8ENnlp7wL9E/zb3OAdOy9K/je8/Aej5B/l5T8X5Tf5lXf9C72/z+chtuZ717oTeAJ4Bqj18v/Uht2bcd1Pg1N9f/elLeUG2NZ7t3iFwiu7yCt7fYTjS8PK3uelXxGhnvzwh3O0esLKHA8MjZD+ZaAJJ2S5YXmBh+IOYFpIehrwJy9vUdgxacDbXt6T4Q94oAA4JuS74FZSU5wzNyckLwd4iJB1NhL427zqHXd0lPzfefk/jJL/Uy//xii/yWZgn5D0/uwWx/eBV4CikPwpQLMnAqNj2P2EV8fXUn1/96XNup6M7sJ273NgHGUDaxw/G56hbuWy1xM9uao+p6pbIqT/G3gMGIB7i47E1aq6LOQYP/AL7+vhYd0pJ+FGfK3FtZ5ajTRS1WpVfTEk6Xjc0pv/A36kqvUhZetxKzNuBb4uIv3juVaPKd7nx1Hyp3mfy9rIfztK/lWqGqzbu87A6pGTcKPcKkPyl+NaFgIcGcPuQFfY1BhljCRjQmF0FwL3oj+Osm96n3eLyCwR6ZcMA0RkkNevfquI/FlEHhCRB4DJXpHxUQ59KjzBE51dQD9ai9/x3ufDoQ/9GAT8FY97AhR+nlpgKW5Z4wPjqA8RycMNUwbXGgrPT8cJiQ94J0o1bQnJcxHSVnmf60JFJIRPvc9hUeoE110Fu18WjC6gL6+ZbXQvBnmfO2OWcvwaOBw4BtcH3igiy3E+gr+q6vuJnlxELsQN1c2NUawwSvr6KOlVuC6X7JC0gGN9RZymlXmfvxaRX7dRdnCcdQbmrzRq5GGmk3C/wweqWheeKSKFuPXId6lqeZRzbIiQVhMjLzQ/O0o+uN8UoDhGGSPJmFAYKceb+BXoSmjzIe89vI4VkYNxb+hfxHXPHAxcJiJXq+ovEzj/gcBdOKf1pThn9gagTlVVRG4ErsB1i0SyJ55WULB4AmUB0r3Pl3HdVbFYF2edFd5nPxHJiiAW073PaK2FA3C/RbTWRlu/SSK/VzgBse62kwN7IyYURnfgS7g372ZgSbwHqeobuJnFgQlZZwP3ANeIyHxVXRlnVafiHny/U9VbI+SPi9emOAi0PibEWf4z7/MxVf1DMgxQ1ToRqQXycN1in4cVCXQrLY9SRaA7LJp/ojMJdONtjVnKSCrmozBSiueAvd37+qCqtusBoKpNqvoAzukrQGgMqcAbc7QXowHe52fhGd64/1ntsSkKz3uf54hIrC6WAAGHfbInmQUe8pMi5AVaFHv4UESkCCfIEL3F0ZkE7E2FSPVZTCiMlCAiaSJyEvAW7o19Ba7bJ55jvy8ie7yRi0gZsK/3NbQbZqP3uU+UKgP+gm+ETl4TkQLcUNzieOyKk3/i3tRLgYe9B28QESkQkWNCkp7EPZCPFJG7RWQAYYhIiYh8O0E7FnufM8LqygD2976eFSpmIrIXbp7IcC8p3hZbMpmB675bkoJz91ms68noCi4XkbnefjbO6XoAux/ATwIXhg8VjcF3gD+IyBrgA5wTtAQ3wS4LeFRV3wwp/wQwE/dgXsjuPvqfqYstdT9udvgBwBoR+S+uVXIErjVyH3B+vBcbC1X1i8hXcU74rwKzvPNVAiNxo42WAi+GlD8ZN3T0QuBsEXkX1/rJxo3EmoTrirknAVOeBK4CjgWuD0mf7NW7ATgIWCsib+O6BvfHTfxrxsXguldEfquqDyb0I7QTEdkPGAK8pqrbuuKchsOEwugKZnufipuBW4F7S34TeERVP0iwvp8DJ+Kc14fiHJxbcA7fe3AzgUP5vVfm695xgeG01wM7VHWXiEwHrsN1M30J9+D9B+5hemGC9sVEVctF5ADgYpx/5HCc03ozbqjt/WHlN4jIQcC3gK/hZqYfjBvauhEXI+uJBG14R0T+BxwhIqW6O4xHwD/xIvA34GbgaO9c9+J++2txYi24FmFXcZ73eWcXntPAoscaRp9FRM7EiUEweqyI3IWbxHdRspznyUAsemxKMR+FYfRd5uNadReHzOoOOLKXpsakqHwH1714pYlE12MtCsPow3hzUV4HbsF1s1XhXiALVLUxlbYFEJFcYDWe30TtodXlmFAYhgGA5zdZBryjqgek2h6j+2BCYRiGYcTEfBSGYRhGTEwoDMMwjJiYUBiGYRgxMaEwDMMwYmJCYRiGYcTEhMIwDMOIiQmFYRiGERMTCsMwDCMm/x8lFHRLPax3OgAAAABJRU5ErkJggg==\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np2_dd/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_FS_to_iSPN_f1_a3/figures/Network-distance-dependent-connection-probability-FS-to-iSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", + "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 5021 connections\n" + "Plotting 1075 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np2_dd/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_iSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np3_dd/network-config.json\n", + "Wrote networks/scan_FS_to_iSPN_f1_a3/figures/Network-number-of-synapses-from-FS-to-iSPN-per-cell.png\n", + "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Writing networks/scan_dSPN_to_dSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_dSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_dSPN_f1_mu2_a3_distdep/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 56/125 (150 neurons)\n", "Processing hyper voxel : 31/125 (149 neurons)\n", @@ -6561,100 +2025,104 @@ "Processing hyper voxel : 85/125 (1 neurons)\n", "Processing hyper voxel : 42/125 (1 neurons)\n", "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", + "Read 291902 out of total 291902 synapses\n", "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1}\n", - "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 10.397120012162098\n", - "Worker iter: 100, fitness 10.355398319230027\n", - "Worker iter: 100, fitness 10.29427436965517\n", - "Worker iter: 100, fitness 10.397120012162098\n", - "Worker iter: 100, fitness 10.397120012162098\n", - "Worker iter: 100, fitness 10.397120012162098\n", - "Worker iter: 100, fitness 10.397120012162098\n", - "Worker iter: 100, fitness 10.397120012162098\n", - "Worker iter: 200, fitness 10.059050856396654\n", - "Worker iter: 200, fitness 10.071459941937201\n", - "Worker iter: 200, fitness 10.065902174251635\n", - "Worker iter: 200, fitness 10.036614311779026\n", - "Worker iter: 200, fitness 10.053231392259956\n", - "Worker iter: 200, fitness 10.073773703305257\n", - "Worker iter: 200, fitness 10.029305641661997\n", - "Worker iter: 200, fitness 10.091534951069654\n", - "Duration: 504.0359814139956 s\n", - "f1 = 0.1979, mu2 = 1.5244, a3 = 0.7977 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 9.988673288676551\n", + "type_id_lookup = {'dSPN': 1}\n", + "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 16.396917669203802\n", + "Worker iter: 100, fitness 16.39950787944633\n", + "Worker iter: 100, fitness 16.318754211401224\n", + "Worker iter: 100, fitness 16.403144520328375\n", + "Worker iter: 100, fitness 16.38017975931608\n", + "Worker iter: 100, fitness 16.43026567304323\n", + "Worker iter: 100, fitness 16.284348725873347\n", + "Worker iter: 100, fitness 16.309552804636162\n", + "Worker iter: 200, fitness 16.13879525575964\n", + "Worker iter: 200, fitness 16.191458774191812\n", + "Worker iter: 200, fitness 16.14877259500643\n", + "Worker iter: 200, fitness 16.16270192380873\n", + "Worker iter: 200, fitness 16.13939271417387\n", + "Worker iter: 200, fitness 16.147949889872585\n", + "Worker iter: 200, fitness 16.13879525575964\n", + "Worker iter: 200, fitness 16.13939271417387\n", + "Duration: 731.8165093320004 s\n", + "f1 = 0.2000, mu2 = 1.6853, a3 = 0.7973, (1-exp(-(0.4*d/60e-6)**2))\n", + " fun: 16.13879525575964\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 2254\n", - " nit: 74\n", + " nfev: 1984\n", + " nit: 65\n", " success: True\n", - " x: array([0.19785358, 1.52438036, 0.79765541])\n", + " x: array([0.1999549 , 1.68525531, 0.79729944])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_iSPN_np3_dd/figures\n", + "Creating figures directory networks/scan_dSPN_to_dSPN_f1_mu2_a3_distdep/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0014667149807792157 seconds\n", - "Created connection matrix 0.01238268197630532 seconds\n", - "Created gap junction connection matrix 0.00014175099204294384 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0016617959990981035 seconds\n", + "Created connection matrix 0.012587653000082355 seconds\n", + "Created gap junction connection matrix 0.00047850199916865677 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 10654, at 0\n", - "Created distance histogram (optimised) in 0.00908208399778232 seconds\n", - "Saving cache to networks/iSPN_to_iSPN_np3_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to iSPN (synapses)\n", + "n_synapses = 10194, at 0\n", + "Created distance histogram (optimised) in 0.008784167999692727 seconds\n", + "Saving cache to networks/scan_dSPN_to_dSPN_f1_mu2_a3_distdep/network-synapses.hdf5-cache\n", + "Plotting connection probability dSPN to dSPN (synapses)\n", "Centering in None : Keeping 150/150\n", "Counting connections\n", "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.27221018418201515\n", - "P(d<0.0001) = 0.2168597988030052\n" + "P(d<5e-05) = 0.2540628385698808\n", + "P(d<0.0001) = 0.20113332484400867\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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d91GMfTYA5/j1B4AP+/XzgftipB8DHAhdy7xQ3I+Br6do8y3A2/x6LnA28Cngtu68H2MdP0bcWGBtaPuvwfUG7gjunTj7PujP55f99hXAV4Cbga8CV8TYZymhd4q/b98JZAEvAvNCdmX69Wf9tRZ/7S9J8f/HezZygI1+/Rjgt8C3/f/4dawwn/bC0H39Q+CHoWM9CUzW9udnY3AfxVsGREnEf4VOBx4XkS+oarmqPgc0d+Fh3gbcq461wCgRmRBOoKr1qrrCrx8Cngcmhfa/x68/CLzRfxm8Dfizqjap6g5gO3C6X7araqHP688+bVxE5G4R+ZWIrBWRQhFZIiJ3iSuh3R1KVxtaf1cQp6orVLXeR60N2Z42qlqkqi8CbZ0k/Shwk9+nTVX3BVkAeX49H9iTxDGr/WoWToA1UXpf4lgjrrTzjIjM8fnUq2qLT5bdWT5J0ul9FGXbbNxH0SofdDzwX7++gtj3xLuAx4NrGZwPf78NT+N/vBNY7vOqU9XVQGOiHUQk03/xPue/eD/pw78gInf59ZNE5GVxJfilInKfvw6vicgnYh0/kW3+/52Pe77APW9vj2Pf24EdwOYgTFXvB3bjhGSX30ZEvulLAauBOVFZvRH34r0QeFFVN/m89qtqq7+2eaq6Vt2b+d7AJhGZIa7UvEFEVonI3Dj/Meaz4a9vkYicrqolwDeBj+E+Uj8dK8zv90Tovo5+zh/1afH2rgQujWMXMECqs1T1U7iXy3mq+pNk9/PF3RdiLB+KkfwYoDi0vduHxct7FPBW4D/R+/sLWIX7WomXb0rHCzEaOBP4AvAI8BPgBOAkETklif0DPob7ajoMf8PHOm9vSiH/cH6j/Or3xFV9PSAiR/uwpcAVIrIb+CdwbWjXaf7F/5SILI7K81+4kkMN7S+VeGwBFqvqqcB3gB+E8lkkIpuBl4BPhR6+8LG67T6ivdQavPg3Ae/w65cDI0VkbIx9/hRl4++BUmAu8IsEx+uAiEwDDqpqU7L7eD4GVKnqabhagU/4vH4GzBRXNfh74JOhD5eTcSJwJvAdEZmYxPHPwpXUwD1PlaFrFPPciqvO+xruCz8c/gHcC/UWYLKIfEBEFuDO5ym4UuRpofRHAc2qWgXMBlRE/uXv4a/6ZMd4OwLCNt0JXKuqC4AvA7fHsHWUX431bACsBxaLyETgRuAu4C/AL2OFReePE6jwc74eWJxg+zCyEkV2hoiMUNXazlP2TVT1vd2Rr4hk4R7in6tqYXccIwGPqqqKyEtAmaq+5G3ajKsCeqGzDETkCmAhcG6seFVNeFOlQRbu4X1GVb8oIl8EbgWuBN4P3K2q/yciZwL3iciJwF5csXu/f9AfEpETgq9uVb1IXJ30H3Avpn8nOH4+cI+IzMJ9pQ8J/dd1wAkicpxP87iqdvgK7677yPM+3HkI+DJwm4hcBfwPKAFag0j/5XsS8K8oGz8irm3oF8B7cS/wZJgAVKRh94XAydLeDpYPzFLVHd72F3HVK0+H9nlYVRuABhFZgSuNl3dy/HTsWwr8RFVrpWPzxJ/8s7NUVX/kSzafA/4RCJ2IPBL1H5/w61m4ar7TgHrgPyKyAfexeBheyN4APBCyYViMpImeDXDnZ66q7sEJ9VW4Uuv9/sOjQ1iUDd8EWnDPCKH8JibYjmlgUojITOAy3AN5KjAOyBSRFmAfrupmBfCIqm5PNt/eRET+wuHFU4Afq+q9UWElwLGh7Uk+LBZ3Aq+p6k9j7L/bi0w+sL+TfJM9Xpjgi60ttB5sB9c7XJ2RHd7Zlya+CZwb7+tPRFYBI2NEfVlVn0zCxmj24x68v/vtB3BfsvjfiwFUdY0XhqNUtRz//1R1g4i8jvsaXB9kqqqNIvIwrsonkYh8D1ihqpeL6/CwMjqBqr4qrhrwxPAxoPvuIxGZh6u7Dr608S+Ld/j4EcA7VbUytNt7cC+9w6pyffXKn3H1/cmKSANR90gcWy8HrvebH8fVp1+rqv+KkXwWUMvhL6foajaNPr4vUZ0K7FHVN0fF78dVD2b50ki8c7sIeJeI/AgYBbSJSKOq3gagqkv9r0riNvBLcG1M4EoY/wuqmkTkn8B83Is7XF0U2JSBKzWdEs7QC31wvR/BndN4zwb+vzcEG6p6d7SRscK8sFwKvDFUyj0svxjbh6PJNQT+C6dYrbiXUbyl1adbToqNR0e6AEX4BqdQ2FK6rmH9LXRsEH02TrobcY25GVHh/4+ODet/9esn0LFhvRDXqJ7l16fR3rB+gt/nJuDyGMe+G994TVTDc1TcduA43I38N9yXPriH83XcF2NXX5/I8ePE/xk4369fBTzg1x8HrvLrx+GqLQX/EePDp+MezDHACGCCD8/CFeM/47c/E6xHHfsfuJdxcM8U+fVptDdATvHHPiqd/5/qfeTT3gzcEBV2VHBv4TqOfDcqfi2+c4ffFmBmaP1W4Fa/fTlwUyf25gbnIyr8KhI0rANXAw8BQ/z2bJ9XPrDVbz8RuieX4krJ2bhqqV04kYl5/Khz9PHQ9gN0bFi/ppP/t5QE7wicELyIa0saCbyGKw0K7pkUn2407kM6x993TwJv8XHRDetv9uHPAO8OXZt5qTwbfvsXpNhxBPdR9gowLkbcO/HvKb/9JTrpiJHoQCfh6vMD4XgO9/K6DJiJe2Cz/O8s3NfezTgVDQTlSeDEI3noUjgxRbT3WijAfRlUA5V+Pe8I8xdcneLruPrxhaG4F/zvJNzX06v+gXghuMH9w/EA7gX+LDA9tP83fb5bCYkvTsC3+bhvhsKXAWfGsPFukhORd/k81wK30S4iTwJlIdsf6YLrcpo//3W4L8XN0efNr0/BVc+86O+7oIfI8cDTuAf2BeDC0M2+2Yc9D7zVhx/t79UXgZdxD1kgBLcB749h45n+PG/EfQQU+fAro47x9i44H53eR6HtQlxVRTjsXbgX2TZcz5thobip+K/cUFiGP38v+fPxB9p7r30Z+EYSNv8HL0ShZ+0ArjSxmxi9Bv1xfxA67gqcgNwFfNanORb3PIzHvczvBdb4//eJeMePOs5iXNVNsD0d93xtxz1vw3z4ZUQJrg9fSicfmrjncxuwGvijP28L8c9NKN0V/n55GfhRKHyhD3vd34OB8EzDfXBvwr3UvxPn+DGfDR/3PDA2xXtwO65d7gW/hEXjNvyz5LeXASclyi/4M4fhq6kacF3F7lLVV2ImjL3vCbgi19X+Ig7pZBcjBUTkX6p6UecpjTDixhq8Q11vt0GPiNwPfEFVE7Yp+KqqBar6rW60ZSlQq6q3pnp8cb2mLtWO1Xrdioh8C9d78s89dcwYNpwKfFFVr+w0cXL5DQOeAs5W1RbfgP9HVX1jwv0SiMhPgR+oq3tO16ijcV86n083D8Mweh8R+biq/rYb819KHBHp7PgisghoUNeVfNAgIhfg2l6Luii/WcAxqrrSb5+G6332QsL94omIYRiGYXTGgBgnYhiGYfQOXSIiInJUjAFPhmEYxgDniERERK71I4nLgHIRKZKO7goMwzCMAUzabSIi8gXg/4CduC6VucASXFfWj6tqsoOZupWLL75Yly+P53bHMAzD8KTkXTjgSEoiX8H1w56pqu9R1bfgBs4dwPWj7hPs27ev80SGYRhGWsQVkUTVUt71RAHODXXEb4/vavYUMKMLbTQMwzD6KIlKIr/23lEPc0+szgFdLc5BWgQ/WOVknC8twzAMY4CTSETegRuW/4KI3CCHzxD2J+AbInKPiHxaRL6Ec68wgyg31IZhGMbAJK6IqOpDOL9FvwauA14UkSWhJF/Aze9wJc4X0C04B3734HzNGIZhGP2Auro6brjhho+ks2/ChnVVrVXVz+E8UNbhfOTfJSJj1M369jacZ9X34SZgmq6qHzXfRIZhGH0fVaWkpIR169YBzEsnj6R6Z6mbz+A0XI+sdwFb/MRFqOpWVf2rqj6mqjtTNcCPLdEYy2M+fmmMuNJUj2MYhmG009TUxIsvvsgrr7xCbm4uuFlAUybpLr7q5vb9Ma4b7xrgXhF5QkSmp3PgEKfhZicLlvk4d+p/DaXZGpXmpCM8pmEYxqCloqKCdevWcfDgQUaPHk1WVvqT3Ka8p6oWA28TkXfg5kt+SURuBG7RGPNPJ5FfBzfUIvIx3DwgYRFpUVUrfRiGYRwBLS0tbN++nd27d5Obm8vQodH9pVInYUlERM4QkUdFZJ+I1IrISyJyo4iMVNW/4xre78JNL/q8nwM7bfycxh/DTTITnpJxuojsEZEdIvLnLij9GIZhDCqqqqp49tln2bNnD6NGjeoSAYHEgw0vwA0cfAtuRrqXcLPGXQesE5EcVa1R1WtxM8O1AqtE5HYRyUvTngtw3Yp/Ewpbh5sS8mLgE7hBjs8kcvgoIleLyHoRWV9RkXC+HcMwjAFNW1sbO3bsYP369agq+fn5dDJ3fEokKon8AGgClqjqHFU9E9ce8SNgDu7FDoCqPoebAvLruC6/r6ZpzyeA51R1Uyjvx33D/Yuq+iRucvkM4MPxMlHVO1V1oaouHDduXJqmGIZh9G/q6+vZsGEDhYWF5OXlkZ2d3eXHSCQiJwJPqur/ggDv4uQHOEddHRq3VbXVz0p2Im6e9ZQQkfG4edp/kyidqtbi5jGeleoxDMMwBgNB1921a9fS0NDAqFGjyMjonumjEjWsHwCOF5GhUeM+5ofiD8N3870sDVuuwpV8Eo5293675gIr0jiGYRjGgKapqYktW7ZQXl5OXl7eEfW8SoZEud8HfBV4VkT+BBzEvbw/ArTQha5NfIP6x4E/+5JGOO5W4FFgFzAe+DbO7fw9XXV8wzCMgUBFRQWvvvoqbW1tjB49ukvbPuKRSES+BQwDPg3cFArfBVylqi93oR1LcNVTV8SIm4QTrKOACmAtcEY6AxsNwzAGIt3RdTdZ4oqIH/PxBRG5CdfOMRYoAjZ1tVsTVV1BnAlRVPV9XXkswzCMgURVVRWbN2+msbGRUaNG9UjpI0ynlWWqWg78twdsMQzDMJKkra2NnTt3UlhYSHZ2Nvn5+b1iR/e2uBiGYRhdTn19PZs3b6a6upq8vLxu63mVDIkGG14tIplHkrmIZIrI1UeSh2EYhuHoya67yZLo6HcAr4jIh0VkeCqZishwEbkKN+jwV0dgn2EYhoHruvvSSy9FvO56z7u9TiIReT+QjfONVSoivxWR94vI1FiJRWSaiHxARO4CSoHfAUNxc40YhmEYaRJ43T1w4MARe93tahL1zvqLiDyCm8HwGuCjuDEiiEgTbrBhNZCH67kV9CkTYDduZPvP/HzshmEYRoq0tbWxbdu2Xum6mywJ5cx70v2BiPwIuBx4O3AOcAww0S8BxbhR5A8Bj6hqWzfYaxiGMWg4ePAgu3fv7pWuu8mSVJnIjxl5wC+IyFG40eP5QCVQrqr7u8lGwzCMQUlJSQlDhw7tswICaXbxVdV9wL4utsUwDMPwNDU1UVFR0WvjP5Kld/uGGYZhGDEpLy9HRPp0KQRMRAzDMPocqkpxcTHDh6c0uqJXMBExDMPoY1RXV9PQ0NAne2NFYyJiGIbRx9izZ0+fGguSCBMRwzCMPkRzczN79+4lJyent01JChMRwzCMPsS+fftQ1V73iZUs/cNKwzCMQUJxcTHZ2dm9bUbSmIgYhmH0EWpra6mpqelXIpJWy42InImb0naSDyoBVqrqM11kl2EYxqCjtLS031RjBaQkIiIyC7gPOC0I8r/q49cDH1LVrV1moWEYxiCgtbWVkpKSPuPiPVmSFhERORb4H3A0znvvo7g51wGmApfixOUpETldVXd1qaWGYRgDmIMHD9LS0kJm5hHNBdjjpFIS+R5OQO4DPquqVeFIEckDfg58CPgucFUX2WgYhjHgKS4uZtiwYb1tRsqkUvl2MbAL+Fi0gACoajXwcZxL+Iu7xjzDMIyBT0NDAwcOHOhXDeoBqYhIPvCMdwsfEx/3DG6iKsMwDCMJ+ouzxVikIiI7gNFJpMsHdqZihIgsFRGNWkpD8eLT7BGRBhFZKSInpHIMwzCMvoiqsmvXrn4zQj2aVETkXmCJiMyJl0BE5gLn49pNUmUrMCG0nBSK+yrwJeBaXON9OfBvERmZxnEMwzD6DJWVlRw6dIghQ4b0tilpkYqI3AI8BqwUkU/7hnQARGSkiHwK+C+wDLg5DVtaVLU0tFT4vAX4PHCzqv5NVV8GPgyMBD6QxnEMwzD6DP3J2WIs4louIoVxoo4GbgNuE5FKHzYqFL8AeA2YkaIt00VkD9AErAOuU9VCYBpQADwRJFTVBhH5H/AG4NcpHscwDKNPcOjQIcrKyhg5sv9WqiSSv6kJ4oLWn1htJFPwgw9TYB2uS/AW3Nzt3wKe8e0eBT5NWdQ+ZcAxMY0TuRq4GmDy5MkpmmIYhtEzVFRU9Ctni7FIJCLTesoIVX08vC0ia4FCXLXV2jTyuxO4E2DhwoWpCpphGEa3E8xe2F8b1APiioiqptTDqitR1VoR2QzMAh7ywUfjxqkQ2i6lj7Fy5UqeeuqpTtOde+65LFmypPsNMgyjT1JTU0NdXR2jRo3qbVOOiD7ZmiMi2cBcYAWua3EpcAHwXCh+MfCV3rIxHkuWLDlMHG644Qauv/763jHIMIw+SX90thiLI/XiG7RJBF5816SZ3604X1y7cG0i3wZygXtUVUXkp8B1IrIF2IZrM6kF/pjO8QzDMHqTlpYW9uzZ0++cLcYiVS++U4E/AGcEQf438OK7BrhCVYtStGMS8CfgKKAC1w5yRqhK7UfAcOCXuMb8dcCFqlqT4nEMwzB6nf3799Pa2trvnC3GIhUvvmNw1UtTcKWAR3GN3wDTgbfiutz+V0QWqOrBZPNW1fd1Eq/AUr8YhmH0a3bv3t0vnS3GIpWSyFdwAvIg8GlV3R+O9CJzB/Aun/a6rjLSMAxjoFBfX09lZSX5+fm9bUqXkEqrztuAvcCV0QICoKoHgCt9mrd3iXWGYRgDjLKysn7rbDEWqYjIVGCVqjbFS+DjVpF4oGKfZ/fu3RQVFdHSEtdhsWEYRsq0tbVRXFw8IBrUA1IRkWYgmVExw33afktNTQ2vvvoqzzzzDCUlJbS1tfW2SYZhDAAOHjxIc3Nzv/aVFU0qIvIqcJ6IFMRL4OPO92n7Nbm5uQwdOpQtW7awdu1a9u3bh2vfNwzDSI+SkpJ+6603HqmIyP24sRtPisj50ZEich7OSWIO6bmC73MMGTIkMpp006ZNbNiwgaqqwyZ1NAzD6JSmpiYqKir6vZuTaFIpU90BvBM4FzeXxx7caHLF+dk6BjduZIVPO2AYNmwYw4YNo76+nvXr1zNu3DhmzJgxoOo1DcPoXioqKgZUg3pA0iURP/XtxcCtQB1ONM7GuR+Z5MNuBd6sqq1db2rvk5OTQ35+PgcPHmTt2rVs3bqVpqa4/QwMwzCA9tkLhw8f3tumdDkpte743ldfFZHv4OYNCbs92aCqjV1sX59DRBgxYgRtbW3s2bOHPXv2MHXqVCZNmjTg6joNw+gaqquraWho6PfOFmORyoj154FCVX2XF4unu8+svk9GRgZ5eXm0trayY8cOiouLmTFjBhMmTBgQTtUMw+g6+vvshYlI5W03l37edbc7yMzMJD8/v0NPrmCiGcMwjObmZkpLSwdcg3pAKiKyExjRXYb0d6J7cq1fv57KyspetckwjN5n3759tLW1DdgailTKV38DrhWRo1R1X3cZ1Nv88Ic/ZNmyZZx88smcc845zJgxI6XeFEFProaGBtavX8/48eO70VrDMPo6xcXFZGdn97YZ3UYqIvJ93MRQ/xKRa1R1XTfZ1Ks8/PDDrFmzhtWrV3P77bdz1FFHccYZZ3DGGWdw+umnM2bMmKTyGT58ONnZ2Rw86JwZb9myhalTpw7om8kwjI7U1tZSU1MzIBvUA1IRkceAVuA04BkRKcNVcTXESKuq+sYusK/H+fvf/84999zDihUrWL9+Pfv27WPZsmUsW7YMgNmzZ0dEZd68eQndOQc9uQD27t3L3r17rSeXYQwiBsrshYlIRUSWhNYFKPBLLPptq3JBQQGXXXYZZ555Jjk5Obz++uusXbuWtWvXsnHjRrZt28a2bdu49957GTZsGPPnz2fRokWcccYZCau+wj25du3axcyZMykoKBgQk9IYhnE4ra2tlJSUDPhByamIyHndZkUfRUSYOXMmM2fO5IorrqCpqYkXXniBtWvXsm7dOrZt28aaNWtYs8bNCtxZ1VfQk6u5uZktW7awc+dOZsyYwbhx4wb814phDDYOHjxIS0vLgP9QTFpEVPWp7jSkPzBs2DAWLVrEokWLADfF5bPPPhspqcSr+gLnNyeo+gp6cjU1NfHSSy8xdOhQJk+eTEFBgbWZGMYAobi4eMDMXpiITkVERDJw7SBTgCbghdDc54OasWPHcskll3DJJZegqpGqr3Xr1vH8889Hqr4A/vKnPzF/4cIOVV9BT66WlhYKCwspLCxk/PjxTJo0ifz8/AHnY8cwBgsNDQ0cOHBgwMxemIiEIiIii4G7iZpkSkQeBj6iqubS1hOz6uuvf2XtbbexrrWVbc3NMau+Fi9ezNlnn01+fj6qyv79+ykrKyMnJ4cpU6Ywbtw4a4Q3jH5GeXn5gHS2GIu4IiIi04F/4ty/Axz060NxU+X+BeeQ0YjBsJdeYtGvf82iVueLcj/w7JAhrF2wgLWvvdah6mvEiBGcf/75XHLJJcyfP5/MzEwOHTrEq6++yrZt25g4cSITJ06M9PQyDKPvEjhbHKgj1KNJVBL5Mn7+EOCTqrrDV229BfgtcIGInKaqz/WAnf2L9evh85+HxnZ/lGOBS5qbueSFF9Cf/ITXR4/mmWee4YknnmDLli088sgjPPLII4wfP56LLrqIiy++mNmzZ9PW1kZJSQnFxcWMGjWKKVOmMGbMGGuIN4w+SmVlJYcOHRo0IpLoTXQ+cAB4t6ruAFDVNlV9FCcwAvTLsSDdSgwB6UBjI/KFLzCzspIPfehD3H///TzwwAN89KMf5ZhjjqG8vJz77ruPD37wg7z3ve/lnnvuoba2lvz8fBoaGti0aROrV69m586dNMY7hmEYvcZAdrYYi0QicizwbJx2j+WhNEeEiHxDRJ4TkWoRqRCRR0XkxKg0d4uIRi1rj/TYCWyisbGRqqoqqqqqqKyspLKykqqqKqqrq6mpqaG2tpa6ujrq6+tpaGigsbGRQ888gyYSkIDGRic069cDMG3aNK655hoeeughfve73/Hud7+b/Px8CgsLuf3227nsssv4+Mc/zmOPPQa4XmKvv/46Tz/9NC+//DKVlZXm8NEw+gCHDh2KtGkOFhLJ5XCgNFaEqlb4BqOu6I+6BLgdeA5Xuvkubgre41X1QCjdk8CVoe1DyWRev2EDG9Jo3Bqb8h4p0tgIn/pUhyAB5vnlS8Ba4HFgJc6p46ZNm7jl5pt5A64x6lxcd7nXkzzkAhMaw+hW9u1zbgUHU3XzkZa5jrjrgape1CFDkSuBKuAs4NFQVJOqxhS1gUgWbtrIs4F6nJAsB9YBq/ySg1PgNwMLOfKLaRhG+gzk2QsT0dl7Z4SITE4nXlV3pWnTSFw128Go8LNFpByoBJ4Cvqmq5Z1llrNgAQt8tVF3UrNiBdsvvZS2+vqk98nIyWHmsmWMPM85A6ivr6eyspLS0tJIFVVWVhbDhw/nzZmZvBk3wPHf//43jz/+OJs3b+afuC50Y8eO5cILL+TCCy9kypQptLW1MXr0aCZPnmwN8YbRA9TU1FBXVzegnS3GQuLVpYtIG+n7wFJVTevDWET+CswCFgZztYvI+3Af5DtwY1ZuBDKBBX7K3ug8rgauBpg8efKCnTt7ZmxkKkISLSDRNDc3U1VVRUVFBeXl5bS0tJCRkUF2djZDhw4FYNeuXSxfvpzly5eza1e7Zk+ePJmLL76Y8847j3HjxkVGxOfl5ZGVlUVmZmbkd6C7ZDCMnmLbtm2UlJSQl5fX26akxbJly268/vrrv53qfp2JSNqoasqfviLyY+B9wNmqWpgg3UScB+H3qurfE+W5cOFCXd8DJZGAZISkMwGJpq2tjdraWg4cOEBpaSl1dXWAa2AP3KS88sorLF++nCeeeIL9+/dH9j3hhBO48MILWbRoEWPGjDlMNESEIUOGMGTIEIYOHRr5DZZo0cnKyoqsD4aBVIaRDC0tLaxevZqcnJx++2GWrojELS2kIwJHgoj8BCcg5yUSEABV3SMiu3Ellj7FyPPOY+ayZXGFJFUBgfb53PPy8pg6dSoNDQ1UVlZSVlbGgQMHUFWmTJnC5z//eT73uc+xfv16/vnPf7Jy5Uo2b97M5s2bI3llZ2eTm5vbYRk+fDg5OTnk5ORE1rOzsyNhOTk5HdLl5uaSnZ0dEZ9o4cnOzo6kHTZsmImNMeDZv38/ra2t/VZAjoQ+0RYrIj8D3osTkC1JpD8KOAbY2922pUM8IUlHQGIxfPhwhg8fzoQJE2hpaaGqqop9+/ZRVlZGc3Mzxx13HPPnz+e6667jqaeeYvny5WzcuJG6ujoaGxtpbGzsUFpJBxHpIDLhZfz48UydOpVp06Yxbdo0jj76aPLz88nLy4vYPpj60RsDn927dw8KZ4ux6PUnWUR+ieu6+3bgoIgEc5TUqmqtiIwAluKm592LaxO5CSgH/tHT9iZLtJB0lYBEk5WVxdixYxk7diyzZ8/uUO1VX1/PokWLWLx4caTaq7Gxkbq6ug5LfX19h3Ev0fHhNEF8Q0NDJK4zCgoKmDp1aodl9uzZjB8/nry8PHJzc63UYvRbgg4xg8HZYix6XUSAa/zvf6LCb8CJRytwEvAhYBROSFYA71HVmp4xMT0CIXnh8ss55R//6HIBiUZEGDlyJCNHjmTKlCk0NjZSWVlJeXk5+/fvjwxIDKqdRo8e3WH/ID5wHJeRkRFZjw5ra2ujsbHxMFGpqalh9+7dFBYW8vrrr7Njxw5KS0spLS1l7dr28aEZGRkcc8wxHYRl+vTpHHfccYwdO9ZKLUa/oaysbNA4W4xFrz+dqprwzKtqA3BRojR9mZHnncd/v/AFFnezgMQiOzubgoICCgoKaG1tpaWlhba2tk6XlpaWSPrwb3gBNy/KiBEjOvSLFxFOP/30DnaUlZWxc+fOiLAUFhaya9cuiouLKS4uZtWqVZG0WVlZTJ48OSIsU6ZMYe7cucydO5fRo0dH2mays7MH7UNr9B3a2tooLi4e8LMXJqLXRcToGbq7O2+0CDU2NtLQ0EBNTQ0jR46koKAgIi6qSmtrK3v37mXXrl0dxKWkpCQyt0qY7OxspkyZEhGWGTNmcOKJJzJz5kzy8/MjnQKs1GL0JAcPHqS5udlExDCOlIyMjMiAxqFDhx7mO0hVaWpqijTs19TUMHbsWKZOncpZZ50VSXPo0CF2797Nzp072bFjR0RcKioq2Lp1K1u3bu2Qb15eHtOmTWP69OlMnz6d448/nnnz5nH00UdHSi3W1mJ0FyUlJYN+vh8TkQHIypUreeqpzmczPvfcc1myZEn3G4Sr5srOzo408BcUFETiDh061EFcJkyYwNy5c2lubo6kCdpaAnEpLCxk+/btVFdXR/yKBWRkZDBp0iSmT5/OjBkzmDlzJvPmzWPWrFnk5+dH2loGY3dMo+toamqioqJi0DaoB5iIDECWLFlymDjccMMNXH/99b1jUCcEDf15eXmMHz8+Et7S0hLxkFxXV8f06dOprq6mqck5KVBV9u3bx86dOykqKmL79u1s376dnTt3smvXLnbt2sXKlSsj+YVLLTNmzOCEE07g5JNPPqzUYhjJUFFRMagb1ANMRIw+S1ZWVqS32bhx4yLhra2tkZJLXV0dxx9/PNXV1TQ2Nkbc+O/evZuioiJ27NjBa6+9xmuvvZZUqWXWrFmccsopzJo1q0MPMfM9ZoQZrM4WY2EiYvQ7MjMzI6Ptx45td9rf3NxMQ0MDDQ0NzJ49m6qqKmpqaiIN/vv37+9QHfbaa68lVWqZOXMms2bNYs6cORx77LGRMS3BYgIz+KiurqahoWHQOVuMRUoiIiJTgW/gZjScCMQr+6ftgNEw0iVwwZKXl8fRRx8NtDfoB+NYTjzxRKqqqiKzQjY2NlJcXBwptWzfvj1uqQUgNzc3Muf9xIkTI2NdZs2axZQpU8jLy+sgMNZbbGARfIxs377drq0n6bMgIicAq4E8Op9HZHBXEhp9hnCD/ujRo5k0aRLgqsSCUsvcuXMjs1a2traiqlRUVLBr165IqSUY11JXVxepHotm2LBhTJgwgWOOOSYiMMceeyyzZs1i+vTpkeqxQGCGDBky6OvT+wttbW2Ul5dTWFhIfX09w4cPZ8SIEb1tVp8gFSn9PpCPm77iBmBLXx8xbhjxyMzMZMSIEYwYMSLS3hJ0MW5oaKC+vp7q6moqKyup9/7PVJWqqqrICPw9e/ZQUlJCSUkJxcXFVFZWUlRURFFR0WHHy8rKoqCgoIPATJw4MdJ7bPTo0ZFqsuHDhzN06FATmD5Aa2srZWVlFBYW0tjYSG5u7mGeHgY7qYjIOUARcLmqNneS1jD6HSISKSWMGjWKiRMnAkRcvIQb8+vq6qitreXQofZZmmtra9m7dy9lZWXs3buXkpISdu/eTXFxMfv27WP37t3s3r37sONmZGRw9NFHM2HCBCZNmsSMGTOYM2cO8+bNo6CggBEjRkQ8K1v7S8/Q0tJCaWkphYWFNDc3k5OTY+IRh1REZBjwnAmIMdjIyMiIeCiOprW1laampshSW1sbcWYZdEUG56SvvLyc0tJS9u7dy549eyICE4Tt3buX559/PrJPZmYmxx57LDNnzow07s+bNy8ywVhgk4136Tqam5vZs2cPRUVFtLS0RDpwGPFJRUS24aqzjATEG+h3ww03dNjuyYF+NStWcP5PfkLNOed0uxPIwUZmZmZcgWlra4uM0m9qaoqUXmprazsITDBorbS0lOLiYrZv3862bdsiVWNFRUU8+eSTkfQFBQXMnDkzUhV20kkndagSy8nJicx+aSRHU1MTJSUl7Ny5E1UlNzfXGs6TJJWz9BvgVhGZqqpF3WRPvyfWQL/eJJhpMae+nu2XXtot7uiN2GRkZETGmUQTCEysEkzQc6yhoaGDb7Ft27axffv2SJvM6tWrI/nl5+dHSiwzZ85k7ty5nHDCCYwdOzbiat+cVh5O0DuvuLgYgBEjRljJLkWSFhFVvV1ETgeeFJFrgX+p6hFNoWt0L9FT9baZkPQZogUm6JIMroqsvr6e+vp6Zs+eTWVlJTU1NZG4oEtyICzbtm2jqqqKDRs2sGHDhkg+w4cPZ9q0aRFhmT17NieffHJkHpfs7GwyMzPJyMiI/Aau/gc69fX17Nq1iz179kSmULD2pvRIpYtv4FZ1KrAMaBGRvUAsIVFVnXHk5hnpEm+udxOSvk9mZmZkpH4gLuH5W2bOnEllZWWkS3JbWxsVFRWR7siBsJSVlfHKK6/wyiuvdMh7ypQpzJw5kwkTJpCXlxeZdTI/P5+RI0cyZswYcnNzyczMJCsrq8OSmZnJkCFDItthAYolSMF6XxGm2tpadu7cSWlpaeQ8m3gcGalUZ00NrQswBJgcJ62ma5Bx5MQTkAATkv5HuHH/qKOOAtoHUgYTg5144olUVlZGHFdWVVV1cFa5devWyLwu0a72owl6qEWLTF5eHnl5eYwcOfKw8KD3WDC5WWCjiDB06FByc3MZMWIEubm5ZGdnM2zYsEhpqLuprq6mqKiI8vJysrKyyM/P7zPC1t9JRUSmdZsVRpfRmYAEmJD0f8IDKceMGcOxxx4LEBnrUldXFxlIGYx1aWhoiLh+OXDgAFVVVVRVVVFZWdnht6mpibKyMsrKypK2Z+jQoeTn5zNq1KgOv2PGjGHatGnMmDGDcePG0dbWFnmBq2pEYAKRCf7TkY74D8b17Nixg/379zNkyBBGjRpl4tHFpNImsrM7Deku6jdsYIPdNDFpq69n2/nn97YZvcICHbiF5cArcn5+fmSsS6x2ltra2g5TIqtqpORw6NAh6urqqK6upqamhpqamg5CEy06lZWVkV5mFRUVcW3Lzc1l9uzZkWXOnDlMmTIlMoFZMGtmQFZWVkRgRo4cGRGXYMR/LFSVgwcPUlhYSGVlZaRUZeLRPVgfNsMYBMRqZwlmmGxubu6wBL7Gwt2TW1paOuQXiE8wY2ZmZibNzc3U1NRERvoH4lJeXs62bdvYunUr+/fvZ+PGjWzcuLGDbdOmTWPOnDkRYQnmfgnG4dTW1lJSUgIQEYOge/XIkSMjrvxVlcLCQmpqaiKubo4UVaWysjJSMisrK6OxsZEFCxZw3HHHDfo2lbRERETOBJYAx/igEmClqq7pIru6jJwFC1iwfn1vm9EjJFuVFSYjJ8eqtAYpIhJpIO/MpXlbW1tEZFpaWmhubu4wmVhjY2NkfMXw4cOZMGFCRGhUlaysLIYMGUJ1dXWkfWbr1q1s27aNXbt2ReaCeeyxxyLHLCgo6CAss2fPZsKECRERCQSwvLw8InKqmpJ4qCrV1dUdBCJYysvLI7/hcT1hxo4dy1lnncXixYtZtGhRzPFCAx3RFIr13ovvH4AzgiD/G2SyBriiL40jWbhwoa4fJCICqQmJCYjR1cQr3QTVYUEVmqqSkZHB0KFDaW1tpbCwsIOwbN++PeaLe+TIkR2qwmbPns20adNiVm2pKrW1tXEForS0lPLy8si4nESMGDGCo48+OrIAPPPMMx3ajIYMGcLChQs5++yzWbx4caQqsb+wbNmyG6+//vpvp7pf0iIiImOADcAUoBZ4FAi6eEwH3gqMwPnXWqCqB1M1pjsYbCICyQmJCYjRG7S1tUUcXAbCUl1dTVubGykgIgwZMoSMjAz27NnTQVi2bt1KZWXlYXlmZWUxffp05syZg4h0EIr6JD6mcnNzI+Iwfvz4DmIRhMVyfaKqbN++nVWrVrF69WpeeumlDj3Tpk+fzuLFi1m8eDEnnXRSnx/E2BMichPwNeBB4NOquj8qfgxwB/Au4GZVvS5VY7qDwSgikFhITECMvoSqRsbA1NbWcvDgQaqqqjo0sg8dOpSsrCwqKys7CMu2bdsio81jMXz48A5iUFBQcJhYdJVL94MHD/L000+zatUq1q5dS11dXSQuPz+fN7zhDSxevJgzzzyTkSNHdskxu5KeEJFXcL6zpqtqzApCERmGK51UqerxqRrTHQxWEYHYQmICYvQHArf8gbAEPcKCMTCqypAhQxg6dCiHDh2KzPGSmZnZQSxGjBjRK72ympub2bhxI6tWrWLVqlUdvDdnZmZyyimnsHjxYs4++2ymTp3a4/bFoidEpB54RFXf10m6PwOXqWqXtzCJyDXAV4AJwGbg86q6KtE+g1FEwk4gx+7YwWl//CNZzc20DBnCcx/4APunuSE/PekE0jC6gkBY6urqIr2/gjaNoAE/VdIVmWBEfjByPx6qys6dO1m9ejX/+9//2LRpU4dS1uTJkyPtKKecckrcrsvdTU+ISBXwlKpe1km6h4ElqtqlHn9F5L3A/cA1uBkWrwE+Ahyvqrvi7TcYRSSamhUrKPrIR5j6+99bCcQYcLS0tETGwITHviR6t8WLS2WfcO+0QBTC420CkQkvGRkZVFdXs2bNGlavXs3TTz9NdXV1JM/c3FzOPPNMzj77bM4666wencOkJ0RkLXACMEtVS+OkKQBeAzar6hmx0qSLiKwDXlTVT4TCXgMeVNVvxNvPRMQwjO4mVo+0xsZGGhoaIr9NTU2RDgQBLS0tbNmyhXXr1rFmzRp27NgRiRMRTjrpJBYvXsyVV17Z7a7p0xWRVKy6H/g5zovvZ1X1v+FIETkP+BmQA9yXqiGJEJGhwALg1qioJ4A3xEh/NXA1uKKiYRhGdxKUNLKzsxOmC8bYBMuhQ4eYNWsWb3rTm2hsbIz09lq7di2bNm3ixRdfpKKigssvv7wn2nYSGx+HVETkDuCdwLnAv0VkD7ADN0ZkGm7goQArfNqu5CggE4h25FMGvCk6sareCdwJriTSxbYYhmGkRWeDO+fPn8+73/1uWlpaOHDgAP/+97+pr69n3rx53W7bqlWrfpPOfqkONhwGfA/4FG5MSJhanHh8O17vrXQRkYm4UfHnqur/QuHfAT6oqnPi7WvVWYZhGEmRVlEnpUo2Lw5f9S/vBXR0e7JBVTsf+pke+4BW4Oio8KOBmO0zhmEYRveTVkuNF4unu9iWRMc7JCIbgAuAB0JRFwB/6yk7DMMwjI4kFBERORYYDZSpasKJBXzPrPHAAVXdnShtmvwYuE9EnsUJ2KeAiXR9+4thGIaRJHHbRERkBG70+RCcL6yEU6GJyHScb616YKaqNnSxrcFgw6/iBhu+DHwh3EYSZ58aYGtX22L0a47CVZEaBtj9ELBPVS9OdadEIvJJ4FfAV1U1umttvH2+iOuG+3FVvStVY7oDEVmvqgt72w6j72D3hBHG7ocjI9FsKm8FmnBCkix3+H3efgQ2GYZhGP2ERCIyD3hOVesSpOmAqtYDzwKnHKFdhmEYRj8gkYiMA9JpIC/x+/YV7uxtA4w+h90TRhi7H46ARCLSDAxNI8+hQEunqXoIP3rdMCLYPWGEsfvhyEgkIqXA3DTynMvh7kkMwzCMAUgiEVkLHCciJySbmYicCByPm2vdMAzDGOAkEpE/4Xyp3OG96CZERIbgemep37fXEZFrRGSHiDSKyAYRWdzbNhldj4icIyKPiEiJiKiIXBUVLyKyVET2iEiDiKyM/jgSkdEicp+IVPnlPhEZ1ZP/w+gaROQbIvKciFSLSIWIPOo/cMNp7J7oIuKKiKr+E/gfztX6ShE5OV5aEZkHPAWcCaz2+/YqfhKrnwE/AE4FngEeFxHzDT/wGIEbfPo5INYg168CXwKuBU4DynGeqMMTXf8RmA9c7Jf5dPGUBkaPsQS4HffuOh/XRvukiIwJpbF7oqsIZuGKteB6Wb0GtOEcIL4A/Ab4vl9+48NafZrtwNGJ8uypBVgH/CYq7DXgpt62zZZuve61wFWhbQH2At8MhQ0HaoBP+u3jcCXos0JpzvZhc3r7P9lyxPfECP+OeqvdE12/JKrOQlUrgIU4RVbgZOBjwNf98lEfFlRhnaad+NjqCUKTWD0RFRVzEitjQDMNKCB0L6hzyROUssGVoGtxpdWAp4E67H4ZCIzE1boc9Nt2T3QhnXrxVdUq4Arv/v1S3Ms5GAdSgfOX9Ziqvt5tVqZOSpNYGQOaAv8b6144JpSmQv3nJoCqqoiUh/Y3+i8/w9WYBB1+7J7oQpJ2Ba/OAePPu9EWwzCMLkVEfoyrhjpbVVt7256BSMLqrH6MTWJlBATXO9G9UAqMk9Ak1n59PHa/9FtE5CfA+4HztaMXcrsnupABKSKqeghXzXZBVNQFdKzjNAY+O3APfeReEJFsYDHt98IaXOPrmaH9zgRysfulXyIiP6NdQLZERds90YWkNbNhP8EmsRok+LlvZvrNDGCyiJyCmyBtl4j8FLhORLYA24Bv4RpN/wigqq+KyHLg1yJytc/n18AyVbW5aPoZIvJL4EqcN/GDfsI8gFpVrfVtGz/F7omuobe7h3XnAlwDFOHc028Azultm2zpluu8BNdDMHq528cLsBTXrbMRN6bpxKg8RgP3A9V+uR8Y1dv/zZa07odY94ICS0Np7J7ooiXupFSGYRiG0RkDsk3EMAzD6BlMRAzDMIy0MRExDMMw0sZExDAMw0gbExHDMAwjbUxEDMMwjLQxETEMwzDSxkTEMAzDSBsTEaPLEJEiPz1tsLSJSI2IFIvIkyJyUyczZAb7T+1BswcVInKGvy4397Yt8RCRHBHZ66e4lc73MHoTG7FudBkiUgRMAf5Fu6fTHNz8M6cC+T7sUeBqVS2Ns/80VS3qAjuOKJ+Bhn8hrwNmAdNV9WAnu/QaIvIZ4Be4WSrv6W17jPiYiBhdRujlfZ6qroyKywDeinOMOR3n9O4Nqro/lGYGMAR4XVWbu8AOE5EQIvIB4A/A91T1O71tTyL87KQ7cdNuT1Pnmdvog1h1ltEjqGqbqj6Mm255OzAb+L+oNK+r6pYjERAjIZ/HOSK8q5ft6BQvGvfjPG+/u5fNMRJgImL0KL4K5fN+84qQm+6EbSIiMkdE7hGRnSJyyLe1FInIP0TknT7NVSKiuFIIwI6oNpqpofwWicgtIrJeRMp8nntE5EEROSOW7UE+fv29IrJGRGq9Lf8RkbPj/W8RyRWRL/t9KkWkQUQKReQBEXlznPRf9e0C1T79ZhFZ6l3fp4SInAacBjwVq3QmIsf7//dKnP3zfVtKeVR4+Jxc5c9nnYiUisjvRGScj8sWkRtEZJuINIrILhH5vogMSWB2UI11Tar/1+hBetuNsC0DZ8G53VdgSSfpBNjv074/xv5To9KfhHPFrcCrwN+AB3ETB9UDy326s4G7cfNCqE9zd2g5KpTnk0ALsAnXRvMg8JLfrwV4dwy7A5fi38XNnPkU8Bdvk+KmHDgzxn5TgC0+TQ3wOPBn3Dw3tcDKqPSTgM0+fTmujelhYI8P2wSMTvHafN/v+8048R/y8ffGiT/Pxy+Pc05+6P//E/767A3ZOsL/1wPAP4B/AnU+/s5O7C7FVWmN6+3725Y416i3DbBl4CzJiohP+2+f9sYY+0+NSnuXD/9GjHxGRL+44+UTleZi4OgY4W8FDuFELicqLnhh7gcWhMIzgDt93L+j9skAnvdxD0W//IGRwBtD24KbOU9xDcvDQ3HDgfsIzZWSwrV52u93fpz4n/v4z8aJ/7KP/0Gcc1IKHBcKH027cL4ErALyQ/GnAM1eIKYksPsfPo/39Pb9bUvsxaqzjN5in/8dm0TaYC7sx6Mj1M1UtybVg6vqclUtixH+KPAAMAb39R2L61V1Q2ifNuDbfnNxVBXNZbieaUW4UleHHlGqWqOq/wkFXYybhnUt8DlVbQilbcDN0FkOfFBERifzXz2n+N9X48Qv8L8bOol/Pk78d1Q1krf/n8EsosfjeuNVheJfwJVIBDg3gd1B9dqpCdIYvYiJiNFbBPdeWxJpn/W/d4jIBSIyrCsMEJGjfD3+rSLyWxG5W0TuBk70SWbH2XVZdIAXpIPAMDoK48X+9w9hQUhA0D7yNy9O0cepA9bjprY+LYn8EJFcXFdrcKWo6PhMnMi0AhvjZNOZyCyPEbbd/+4MC0yI1/zvxDh5gqsCg/YPCaOPMZDnWDf6Nkf53wMJUzluARYDb8TVuTeJyAu4Non7VfWlVA8uIp/EdTfOSZAsL074rjjh1bhqnOxQWNDIvyVJ06b731tE5JZO0o5LMs9gfE6Txu4qezzuPLysqvXRkSKSh5vD/qCq7ohzjN0xwmoTxIXjs+PEgzunAKMSpDF6ERMRo8fxg96C6olOBcC/2N4kIotwX/Zn4ap8FgFfFZHrVfW7KRz/NOBXuAb0r+Aa1ncD9aqqIvID4Bu4qpZY9iRTeookTyEtQKb/fQpXBZaInUnmWel/h4nI0BhCstD/xitlzMedi3illM7OSSrnK5pAyPvswMjBjomI0Ru8BffF3gysTHYnVV2HG3EdDEb7APAbYKmI/EVVtyaZ1TtxL8Wfq+qtMeJnJmtTEgSlljlJpi/2vw+o6i+7wgBVrReROiAXV9W2NypJUFX1Qpwsgiq2eO0h3UlQNVieMJXRa1ibiNGj+Mbgn/jNe1U1rZeDqh5S1btxDdAChH1yBV/a8T6Sxvjf4ugIP67hgnRsisO//O8VIpKo2iYg6DzQ1QPsAgE4PkZcUBI5rM1GRPJxYg3xSyrdSWBvbwiYkQQmIkaPICIZInIZ8BzuS38LriopmX2vEZHDvuRFZDpwgt8MV+2U+N/j4mQZtE98KDxwT0RG4roTj0rGriR5GPeFPxX4g38pRxCRkSLyxlDQQ7iX9bkicoeIjCEKESkQkU+kaMcK/3tmVF5ZwDy/+f6w0InIBNw4mGN8ULIlva7kTFyV4MpeOLaRBFadZXQHXxeRq/x6Nq4BeD7tL+eHgE9Gd3dNwNXAL0WkEHgZ1yBbgBtcOBT4s6o+G0r/D2AJ7qX9BO1tAl9T56vr97hR8/OBQhFZjSvNnIMrxdwFfDTZP5sIVW0TkXfgOgS8A7jAH68KOBbXK2o98J9Q+rfjur9+EviAiGzClZqycT3GjsdV7/wmBVMeAr4DvAm4MRR+os93N3A6UCQiz+OqG+fhBj0243ya/U5Efqqq96Z0EtJERE4CxgPPqGpFTxzTSB0TEaM7uMj/Km5kciXu6/pZ4I+q+nKK+X0LuBTXkP4GXGNrGa7x+Te4EdJhbvNpPuj3C7oE3wjsV9WDIrIQ+B6u6uotuJfy33Ev2k+maF9CVHWHiMwHrsW1xyzGNaCX4roL/z4q/W4ROR34GPAe3Ij9RbjuuSU4n2P/SNGGjSKyFjhHRKZqu+uToD3kP8CfgJuB8/2xfoc79zfghFxwJcme4sP+9/YePKaRIubF1zAGCSLyPpxQRLz4isivcAMYP9NVDfldgZgX336DtYkYxuDhL7jS4LWh0e5Bo/r63jEpLlfjqiyvMwHp21hJxDAGEX6szRrgR7iqu2rcx+RIVW3qTdsCRCQHeB3fTqP2kurTmIgYxiDFt9NsADaq6vzetsfon5iIGIZhGGljbSKGYRhG2piIGIZhGGljImIYhmGkjYmIYRiGkTYmIoZhGEbamIgYhmEYaWMiYhiGYaSNiYhhGIaRNv8f4WbN7oCTTpQAAAAASUVORK5CYII=\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np3_dd/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_dSPN_to_dSPN_f1_mu2_a3_distdep/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 150/150\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 4133 connections\n" + "Plotting 3822 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np3_dd/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_iSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np4_dd/network-config.json\n", + "Wrote networks/scan_dSPN_to_dSPN_f1_mu2_a3_distdep/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", + "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Writing networks/scan_dSPN_to_dSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_dSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_dSPN_f1_a3_distdep/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 56/125 (150 neurons)\n", "Processing hyper voxel : 31/125 (149 neurons)\n", @@ -6698,118 +2166,95 @@ "Processing hyper voxel : 85/125 (1 neurons)\n", "Processing hyper voxel : 42/125 (1 neurons)\n", "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", + "Read 291902 out of total 291902 synapses\n", "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1}\n", - "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 9.988673288676551\n", - "Worker iter: 100, fitness 9.988673288676551\n", - "Worker iter: 100, fitness 9.988673288676551\n", - "Worker iter: 100, fitness 9.988673288676551\n", - "Worker iter: 100, fitness 9.988673288676551\n", - "Worker iter: 100, fitness 9.988673288676551\n", - "Worker iter: 100, fitness 9.988673288676551\n", - "Worker iter: 100, fitness 9.988673288676551\n", - "Worker iter: 200, fitness 9.988673288676551\n", - "Worker iter: 200, fitness 9.988673288676551\n", - "Worker iter: 200, fitness 9.988673288676551\n", - "Worker iter: 200, fitness 9.988673288676551\n", - "Worker iter: 200, fitness 9.988673288676551\n", - "Worker iter: 200, fitness 9.988673288676551\n", - "Worker iter: 200, fitness 9.988673288676551\n", - "Worker iter: 200, fitness 9.988673288676551\n", - "Worker iter: 300, fitness 9.944669862518742\n", - "Worker iter: 300, fitness 9.911650472490097\n", - "Worker iter: 300, fitness 9.928663550979781\n", - "Worker iter: 300, fitness 9.914121083882097\n", - "Worker iter: 300, fitness 9.902531697253766\n", - "Worker iter: 300, fitness 9.92086680090499\n", - "Worker iter: 300, fitness 9.897403148835274\n", - "Worker iter: 300, fitness 9.895798678737943\n", - "Worker iter: 400, fitness 9.877995777903429\n", - "Worker iter: 400, fitness 9.863813766876987\n", - "Worker iter: 400, fitness 9.863614124758524\n", - "Worker iter: 400, fitness 9.863246940270118\n", - "Worker iter: 400, fitness 9.863383870249397\n", - "Worker iter: 400, fitness 9.863490260785703\n", - "Worker iter: 400, fitness 9.863016565254563\n", - "Worker iter: 400, fitness 9.8632067558562\n", - "Worker iter: 500, fitness 9.863016565254563\n", - "Worker iter: 500, fitness 9.863016565254563\n", - "Duration: 772.1543417100038 s\n", - "f1 = 0.1994, softMax = 3.4680, mu2 = 1.5255, a3 = 0.7975 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 9.863016565254563\n", + "type_id_lookup = {'dSPN': 1}\n", + "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 16.13879525575964\n", + "Worker iter: 100, fitness 16.13879525575964\n", + "Worker iter: 100, fitness 16.13879525575964\n", + "Worker iter: 100, fitness 16.13879525575964\n", + "Worker iter: 100, fitness 16.13879525575964\n", + "Worker iter: 100, fitness 16.13879525575964\n", + "Worker iter: 100, fitness 16.13879525575964\n", + "Worker iter: 100, fitness 16.13879525575964\n", + "Duration: 364.0618031009999 s\n", + "f1 = 0.1081, a3 = 0.5643, (1-exp(-(0.4*d/60e-6)**2))\n", + " fun: 18.790102775472263\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 3805\n", - " nit: 94\n", + " nfev: 1103\n", + " nit: 54\n", " success: True\n", - " x: array([0.199352 , 3.46801441, 1.52551758, 0.79752107])\n", + " x: array([0.10812272, 0.56430017])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_iSPN_np4_dd/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0014520059921778738 seconds\n", - "Created connection matrix 0.012181087979115546 seconds\n", - "Created gap junction connection matrix 0.00013133397442288697 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0009212610002578003 seconds\n", + "Created connection matrix 0.011022100999980466 seconds\n", + "Created gap junction connection matrix 0.0005132900005264673 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 10247, at 0\n", - "Created distance histogram (optimised) in 0.00868724100291729 seconds\n", - "Saving cache to networks/iSPN_to_iSPN_np4_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to iSPN (synapses)\n", + "n_synapses = 6051, at 0\n", + "Created distance histogram (optimised) in 0.005625415000395151 seconds\n", + "Saving cache to networks/scan_dSPN_to_dSPN_f1_a3_distdep/network-synapses.hdf5-cache\n", + "Plotting connection probability dSPN to dSPN (synapses)\n", "Centering in None : Keeping 150/150\n", "Counting connections\n", "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.27329360780065004\n", - "P(d<0.0001) = 0.21800585763402522\n" + "P(d<5e-05) = 0.25920910075839654\n", + "P(d<0.0001) = 0.22004329555583854\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np4_dd/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_dSPN_to_dSPN_f1_a3_distdep/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 150/150\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 4158 connections\n" + "Plotting 4337 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np4_dd/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_iSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np1/network-config.json\n", + "Wrote networks/scan_dSPN_to_dSPN_f1_a3_distdep/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", + "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Writing networks/scan_dSPN_to_dSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_dSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_dSPN_f1_mu2_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 56/125 (150 neurons)\n", "Processing hyper voxel : 31/125 (149 neurons)\n", @@ -6853,84 +2298,108 @@ "Processing hyper voxel : 85/125 (1 neurons)\n", "Processing hyper voxel : 42/125 (1 neurons)\n", "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", + "Read 291902 out of total 291902 synapses\n", "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1}\n", - "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 61.48889919699286 s\n", - "f1 = 0.0225\n", - " fun: 9.520798523579893\n", + "type_id_lookup = {'dSPN': 1}\n", + "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 13.09221341180531\n", + "Worker iter: 100, fitness 13.338724164087775\n", + "Worker iter: 100, fitness 13.275119390576995\n", + "Worker iter: 100, fitness 13.185592197873483\n", + "Worker iter: 100, fitness 13.232659593576267\n", + "Worker iter: 100, fitness 13.134199847303346\n", + "Worker iter: 100, fitness 13.29788745133752\n", + "Worker iter: 100, fitness 13.291346051045403\n", + "Worker iter: 200, fitness 12.999584031635534\n", + "Worker iter: 200, fitness 13.031791084581728\n", + "Worker iter: 200, fitness 13.040510767514908\n", + "Worker iter: 200, fitness 13.016706495283657\n", + "Worker iter: 200, fitness 13.023938333521174\n", + "Worker iter: 200, fitness 12.990616411258076\n", + "Worker iter: 200, fitness 12.99905807933169\n", + "Worker iter: 200, fitness 13.016682608116566\n", + "Worker iter: 300, fitness 12.973444676750493\n", + "Worker iter: 300, fitness 12.973444676750493\n", + "Worker iter: 300, fitness 12.973444676750493\n", + "Worker iter: 300, fitness 12.973444676750493\n", + "Duration: 720.3904730330014 s\n", + "f1 = 0.0564, mu2 = 1.8118, a3 = 0.8666, \n", + " fun: 12.973444676750493\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 302\n", - " nit: 29\n", + " nfev: 2344\n", + " nit: 77\n", " success: True\n", - " x: array([0.02248233])\n", + " x: array([0.05644035, 1.81177885, 0.86664752])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_iSPN_np1/figures\n", + "Creating figures directory networks/scan_dSPN_to_dSPN_f1_mu2_a3/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007027940009720623 seconds\n", - "Created connection matrix 0.011309499997878447 seconds\n", - "Created gap junction connection matrix 0.00010220901458524168 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0009488129999226658 seconds\n", + "Created connection matrix 0.009756104000189225 seconds\n", + "Created gap junction connection matrix 0.0004893400000582915 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 6553, at 0\n", - "Created distance histogram (optimised) in 0.0055030199873726815 seconds\n", - "Saving cache to networks/iSPN_to_iSPN_np1/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to iSPN (synapses)\n", + "n_synapses = 8173, at 0\n", + "Created distance histogram (optimised) in 0.007421559999784222 seconds\n", + "Saving cache to networks/scan_dSPN_to_dSPN_f1_mu2_a3/network-synapses.hdf5-cache\n", + "Plotting connection probability dSPN to dSPN (synapses)\n", "Centering in None : Keeping 150/150\n", "Counting connections\n", "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.36240520043336943\n", - "P(d<0.0001) = 0.27390806061377815\n" + "P(d<5e-05) = 0.25947995666305523\n", + "P(d<0.0001) = 0.16719724945880554\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np1/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_dSPN_to_dSPN_f1_mu2_a3/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 150/150\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 5214 connections\n" + "Plotting 3053 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np1/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_iSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np2/network-config.json\n", + "Wrote networks/scan_dSPN_to_dSPN_f1_mu2_a3/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", + "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Writing networks/scan_dSPN_to_dSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_dSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_dSPN_f1_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 56/125 (150 neurons)\n", "Processing hyper voxel : 31/125 (149 neurons)\n", @@ -6974,399 +2443,375 @@ "Processing hyper voxel : 85/125 (1 neurons)\n", "Processing hyper voxel : 42/125 (1 neurons)\n", "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", + "Read 291902 out of total 291902 synapses\n", "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1}\n", - "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 5.891760705326585\n", - "Worker iter: 100, fitness 5.909893854588223\n", - "Worker iter: 100, fitness 5.850720640251576\n", - "Worker iter: 100, fitness 5.936443994577241\n", - "Worker iter: 100, fitness 5.862646325107208\n", - "Worker iter: 100, fitness 5.894235360480447Worker iter: 100, fitness 5.841969626573079\n", - "\n", - "Worker iter: 100, fitness 5.87056101769128\n", - "Duration: 160.5923041899805 s\n", - "f1 = 0.0735, mu2 = 1.8895\n", - " fun: 5.819530556147476\n", + "type_id_lookup = {'dSPN': 1}\n", + "From hist_file: b'{\"dSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 12.973444676750493\n", + "Worker iter: 100, fitness 12.973444676750493\n", + "Worker iter: 100, fitness 12.973444676750493\n", + "Worker iter: 100, fitness 12.973444676750493\n", + "Worker iter: 100, fitness 12.973444676750493\n", + "Worker iter: 100, fitness 12.973444676750493\n", + "Worker iter: 100, fitness 12.973444676750493\n", + "Worker iter: 100, fitness 12.973444676750493\n", + "Duration: 307.32898733099864 s\n", + "f1 = 0.0204, a3 = 0.7505, \n", + " fun: 15.942307597964065\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 963\n", - " nit: 47\n", + " nfev: 1143\n", + " nit: 56\n", " success: True\n", - " x: array([0.07354455, 1.88949291])\n", + " x: array([0.02039456, 0.750464 ])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_iSPN_np2/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0013386300124693662 seconds\n", - "Created connection matrix 0.013980968011310324 seconds\n", - "Created gap junction connection matrix 0.00038962598773650825 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0009086840000236407 seconds\n", + "Created connection matrix 0.009322742998847389 seconds\n", + "Created gap junction connection matrix 0.00013336300071387086 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 13213, at 0\n", - "Created distance histogram (optimised) in 0.011026791005861014 seconds\n", - "Saving cache to networks/iSPN_to_iSPN_np2/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to iSPN (synapses)\n", + "n_synapses = 4484, at 0\n", + "Created distance histogram (optimised) in 0.0042259300007572165 seconds\n", + "Saving cache to networks/scan_dSPN_to_dSPN_f1_a3/network-synapses.hdf5-cache\n", + "Plotting connection probability dSPN to dSPN (synapses)\n", "Centering in None : Keeping 150/150\n", "Counting connections\n", "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.35563380281690143\n", - "P(d<0.0001) = 0.2418184133452184\n" + "P(d<5e-05) = 0.2608342361863489\n", + "P(d<0.0001) = 0.1910734751050554\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np2/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_dSPN_to_dSPN_f1_a3/figures/Network-distance-dependent-connection-probability-dSPN-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 150/150\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 4450 connections\n" + "Plotting 3647 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np2/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", + "Wrote networks/scan_dSPN_to_dSPN_f1_a3/figures/Network-number-of-synapses-from-dSPN-to-dSPN-per-cell.png\n", + "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_iSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np3/network-config.json\n", + "Writing networks/scan_dSPN_to_iSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_iSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_iSPN_f1_mu2_a3_distdep/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", + "Processing hyper voxel : 31/125 (150 neurons)\n", + "Processing hyper voxel : 36/125 (148 neurons)\n", + "Processing hyper voxel : 32/125 (146 neurons)\n", + "Processing hyper voxel : 37/125 (139 neurons)\n", + "Processing hyper voxel : 56/125 (124 neurons)\n", + "Processing hyper voxel : 61/125 (108 neurons)\n", + "Processing hyper voxel : 57/125 (87 neurons)\n", + "Processing hyper voxel : 6/125 (87 neurons)\n", + "Processing hyper voxel : 11/125 (74 neurons)\n", + "Processing hyper voxel : 62/125 (71 neurons)\n", + "Processing hyper voxel : 7/125 (64 neurons)\n", + "Processing hyper voxel : 30/125 (60 neurons)\n", + "Processing hyper voxel : 35/125 (56 neurons)\n", + "Processing hyper voxel : 26/125 (43 neurons)\n", + "Processing hyper voxel : 12/125 (40 neurons)\n", "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", + "Processing hyper voxel : 55/125 (26 neurons)\n", + "Processing hyper voxel : 60/125 (21 neurons)\n", + "Processing hyper voxel : 41/125 (19 neurons)\n", + "Processing hyper voxel : 5/125 (17 neurons)\n", + "Processing hyper voxel : 51/125 (13 neurons)\n", + "Processing hyper voxel : 1/125 (10 neurons)\n", + "Processing hyper voxel : 10/125 (9 neurons)\n", + "Processing hyper voxel : 42/125 (8 neurons)\n", + "Processing hyper voxel : 2/125 (7 neurons)\n", + "Processing hyper voxel : 33/125 (7 neurons)\n", + "Processing hyper voxel : 66/125 (7 neurons)\n", + "Processing hyper voxel : 81/125 (7 neurons)\n", + "Processing hyper voxel : 52/125 (5 neurons)\n", + "Processing hyper voxel : 17/125 (5 neurons)\n", + "Processing hyper voxel : 25/125 (3 neurons)\n", + "Processing hyper voxel : 38/125 (3 neurons)\n", + "Processing hyper voxel : 16/125 (3 neurons)\n", + "Processing hyper voxel : 40/125 (3 neurons)\n", "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", + "Processing hyper voxel : 80/125 (2 neurons)\n", + "Processing hyper voxel : 63/125 (2 neurons)\n", + "Processing hyper voxel : 86/125 (2 neurons)\n", + "Processing hyper voxel : 13/125 (2 neurons)\n", + "Processing hyper voxel : 8/125 (2 neurons)\n", + "Processing hyper voxel : 58/125 (2 neurons)\n", "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", + "Processing hyper voxel : 28/125 (1 neurons)\n", "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1}\n", - "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 5.819530556147476\n", - "Worker iter: 100, fitness 5.819530556147476\n", - "Worker iter: 100, fitness 5.819530556147476\n", - "Worker iter: 100, fitness 5.819530556147476\n", - "Worker iter: 100, fitness 5.819530556147476\n", - "Worker iter: 100, fitness 5.819530556147476\n", - "Worker iter: 100, fitness 5.819530556147476\n", - "Worker iter: 100, fitness 5.819530556147476\n", - "Worker iter: 200, fitness 5.394008127215083\n", - "Worker iter: 200, fitness 5.430609772524332\n", - "Worker iter: 200, fitness 5.368857933059089\n", - "Worker iter: 200, fitness 5.383374597495461\n", - "Worker iter: 200, fitness 5.374264864201448\n", - "Worker iter: 200, fitness 5.376683242592838\n", - "Worker iter: 200, fitness 5.376684872447112\n", - "Worker iter: 200, fitness 5.357122855572309\n", - "Worker iter: 300, fitness 5.262344143421247\n", - "Worker iter: 300, fitness 5.262190593444689\n", - "Worker iter: 300, fitness 5.262190593444689\n", - "Worker iter: 300, fitness 5.262344143421247\n", - "Worker iter: 300, fitness 5.262190593444689\n", - "Worker iter: 300, fitness 5.262190593444689Worker iter: 300, fitness 5.262344143421247\n", - "\n", - "Worker iter: 300, fitness 5.262190593444689\n", - "Duration: 410.21749692899175 s\n", - "f1 = 0.0762, mu2 = 1.8364, a3 = 0.8919\n", - " fun: 5.262190593444689\n", + "Read 72238 out of total 72238 synapses\n", + "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", + "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 1.2168573438984267\n", + "Worker iter: 100, fitness 1.425910227052309\n", + "Worker iter: 100, fitness 1.2228531276732097\n", + "Worker iter: 100, fitness 1.4005441331271649\n", + "Worker iter: 100, fitness 1.2761530893231023\n", + "Worker iter: 100, fitness 1.2317334544656893\n", + "Worker iter: 100, fitness 1.249266096914666\n", + "Worker iter: 100, fitness 1.2093746860382453\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0193160079741002\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Duration: 212.65411595099977 s\n", + "f1 = 0.1166, mu2 = 2.6415, a3 = 0.8166, (1-exp(-(0.4*d/60e-6)**2))\n", + " fun: 1.0139117455821998\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 2404\n", - " nit: 79\n", + " nfev: 2194\n", + " nit: 72\n", " success: True\n", - " x: array([0.0761866 , 1.83644689, 0.89190159])\n", + " x: array([0.11655958, 2.64154125, 0.8165701 ])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_iSPN_np3/figures\n", + "Creating figures directory networks/scan_dSPN_to_iSPN_f1_mu2_a3_distdep/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0013245470181573182 seconds\n", - "Created connection matrix 0.013412174012046307 seconds\n", - "Created gap junction connection matrix 9.779198444448411e-05 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008473840007354738 seconds\n", + "Created connection matrix 0.0014267570004449226 seconds\n", + "Created gap junction connection matrix 0.0005003709993616212 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 13019, at 0\n", - "Created distance histogram (optimised) in 0.01123678998555988 seconds\n", - "Saving cache to networks/iSPN_to_iSPN_np3/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to iSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", + "n_synapses = 540, at 0\n", + "Created distance histogram (optimised) in 0.0012487550011428539 seconds\n", + "Saving cache to networks/scan_dSPN_to_iSPN_f1_mu2_a3_distdep/network-synapses.hdf5-cache\n", + "Plotting connection probability dSPN to iSPN (synapses)\n", + "Centering in None : Keeping 75/75\n", "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.3561755146262188\n", - "P(d<0.0001) = 0.23831656691710174\n" + "Requested: 10000000.0 calculated [5625.]\n", + "P(d<5e-05) = 0.05652173913043478\n", + "P(d<0.0001) = 0.03966437833714721\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np3/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_dSPN_to_iSPN_f1_mu2_a3_distdep/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", + "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 4389 connections\n" + "Plotting 181 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np3/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", + "Wrote networks/scan_dSPN_to_iSPN_f1_mu2_a3_distdep/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", + "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_iSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_iSPN_np4/network-config.json\n", + "Writing networks/scan_dSPN_to_iSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_iSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_iSPN_f1_a3_distdep/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 56/125 (150 neurons)\n", - "Processing hyper voxel : 31/125 (149 neurons)\n", - "Processing hyper voxel : 36/125 (131 neurons)\n", - "Processing hyper voxel : 61/125 (129 neurons)\n", - "Processing hyper voxel : 57/125 (125 neurons)\n", - "Processing hyper voxel : 32/125 (115 neurons)\n", - "Processing hyper voxel : 55/125 (89 neurons)\n", - "Processing hyper voxel : 30/125 (79 neurons)\n", - "Processing hyper voxel : 51/125 (76 neurons)\n", - "Processing hyper voxel : 26/125 (73 neurons)\n", - "Processing hyper voxel : 62/125 (70 neurons)\n", - "Processing hyper voxel : 37/125 (55 neurons)\n", - "Processing hyper voxel : 60/125 (51 neurons)\n", - "Processing hyper voxel : 35/125 (41 neurons)\n", - "Processing hyper voxel : 81/125 (38 neurons)\n", - "Processing hyper voxel : 52/125 (31 neurons)\n", + "Processing hyper voxel : 31/125 (150 neurons)\n", + "Processing hyper voxel : 36/125 (148 neurons)\n", + "Processing hyper voxel : 32/125 (146 neurons)\n", + "Processing hyper voxel : 37/125 (139 neurons)\n", + "Processing hyper voxel : 56/125 (124 neurons)\n", + "Processing hyper voxel : 61/125 (108 neurons)\n", + "Processing hyper voxel : 57/125 (87 neurons)\n", + "Processing hyper voxel : 6/125 (87 neurons)\n", + "Processing hyper voxel : 11/125 (74 neurons)\n", + "Processing hyper voxel : 62/125 (71 neurons)\n", + "Processing hyper voxel : 7/125 (64 neurons)\n", + "Processing hyper voxel : 30/125 (60 neurons)\n", + "Processing hyper voxel : 35/125 (56 neurons)\n", + "Processing hyper voxel : 26/125 (43 neurons)\n", + "Processing hyper voxel : 12/125 (40 neurons)\n", "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 50/125 (17 neurons)\n", - "Processing hyper voxel : 6/125 (16 neurons)\n", - "Processing hyper voxel : 86/125 (15 neurons)\n", - "Processing hyper voxel : 25/125 (12 neurons)\n", - "Processing hyper voxel : 80/125 (11 neurons)\n", - "Processing hyper voxel : 82/125 (11 neurons)\n", - "Processing hyper voxel : 11/125 (8 neurons)\n", - "Processing hyper voxel : 7/125 (7 neurons)\n", - "Processing hyper voxel : 87/125 (6 neurons)\n", - "Processing hyper voxel : 1/125 (6 neurons)\n", - "Processing hyper voxel : 5/125 (5 neurons)\n", - "Processing hyper voxel : 76/125 (4 neurons)\n", - "Processing hyper voxel : 58/125 (3 neurons)\n", - "Processing hyper voxel : 41/125 (3 neurons)\n", + "Processing hyper voxel : 55/125 (26 neurons)\n", + "Processing hyper voxel : 60/125 (21 neurons)\n", + "Processing hyper voxel : 41/125 (19 neurons)\n", + "Processing hyper voxel : 5/125 (17 neurons)\n", + "Processing hyper voxel : 51/125 (13 neurons)\n", + "Processing hyper voxel : 1/125 (10 neurons)\n", + "Processing hyper voxel : 10/125 (9 neurons)\n", + "Processing hyper voxel : 42/125 (8 neurons)\n", + "Processing hyper voxel : 2/125 (7 neurons)\n", + "Processing hyper voxel : 33/125 (7 neurons)\n", + "Processing hyper voxel : 66/125 (7 neurons)\n", + "Processing hyper voxel : 81/125 (7 neurons)\n", + "Processing hyper voxel : 52/125 (5 neurons)\n", + "Processing hyper voxel : 17/125 (5 neurons)\n", + "Processing hyper voxel : 25/125 (3 neurons)\n", + "Processing hyper voxel : 38/125 (3 neurons)\n", + "Processing hyper voxel : 16/125 (3 neurons)\n", + "Processing hyper voxel : 40/125 (3 neurons)\n", "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 12/125 (2 neurons)\n", - "Processing hyper voxel : 75/125 (2 neurons)\n", - "Processing hyper voxel : 33/125 (1 neurons)\n", + "Processing hyper voxel : 80/125 (2 neurons)\n", + "Processing hyper voxel : 63/125 (2 neurons)\n", + "Processing hyper voxel : 86/125 (2 neurons)\n", + "Processing hyper voxel : 13/125 (2 neurons)\n", + "Processing hyper voxel : 8/125 (2 neurons)\n", + "Processing hyper voxel : 58/125 (2 neurons)\n", "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 66/125 (1 neurons)\n", - "Processing hyper voxel : 77/125 (1 neurons)\n", - "Processing hyper voxel : 10/125 (1 neurons)\n", - "Processing hyper voxel : 85/125 (1 neurons)\n", - "Processing hyper voxel : 42/125 (1 neurons)\n", + "Processing hyper voxel : 28/125 (1 neurons)\n", "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 291901 out of total 291901 synapses\n", - "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'iSPN': 1}\n", - "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 5.262190593444689\n", - "Worker iter: 100, fitness 5.262190593444689\n", - "Worker iter: 100, fitness 5.262190593444689\n", - "Worker iter: 100, fitness 5.262190593444689\n", - "Worker iter: 100, fitness 5.262190593444689\n", - "Worker iter: 100, fitness 5.262190593444689\n", - "Worker iter: 100, fitness 5.262190593444689\n", - "Worker iter: 100, fitness 5.262190593444689\n", - "Worker iter: 200, fitness 5.262190593444689\n", - "Worker iter: 200, fitness 5.262190593444689\n", - "Worker iter: 200, fitness 5.262190593444689\n", - "Worker iter: 200, fitness 5.262190593444689\n", - "Worker iter: 200, fitness 5.262190593444689\n", - "Worker iter: 200, fitness 5.262190593444689\n", - "Worker iter: 200, fitness 5.262190593444689\n", - "Worker iter: 200, fitness 5.262190593444689\n", - "Worker iter: 300, fitness 5.226965721515189\n", - "Worker iter: 300, fitness 5.252102523400485\n", - "Worker iter: 300, fitness 5.23609450695705\n", - "Worker iter: 300, fitness 5.254457407234895\n", - "Worker iter: 300, fitness 5.208901175621628\n", - "Worker iter: 300, fitness 5.208289353904127\n", - "Worker iter: 300, fitness 5.212170229147175\n", - "Worker iter: 300, fitness 5.2140011473310715\n", - "Worker iter: 400, fitness 5.139540706855682\n", - "Worker iter: 400, fitness 5.145684351523703Worker iter: 400, fitness 5.137494391137105\n", - "\n", - "Worker iter: 400, fitness 5.1379062654446805\n", - "Worker iter: 400, fitness 5.135928601691624\n", - "Worker iter: 400, fitness 5.1398491070782555\n", - "Worker iter: 400, fitness 5.1407652931781325\n", - "Worker iter: 400, fitness 5.132630378576488\n", - "Worker iter: 500, fitness 5.132620121893515\n", - "Worker iter: 500, fitness 5.132521134176449\n", - "Worker iter: 500, fitness 5.132521134176449\n", - "Worker iter: 500, fitness 5.132521134176449\n", - "Worker iter: 500, fitness 5.132521134176449\n", - "Worker iter: 500, fitness 5.132521134176449\n", - "Worker iter: 500, fitness 5.132630378576488\n", - "Worker iter: 500, fitness 5.132521134176449\n", - "Duration: 750.0707795119961 s\n", - "f1 = 0.0768, softMax = 4.4739, mu2 = 1.8370, a3 = 0.8885\n", - " fun: 5.132521134176449\n", + "Read 72238 out of total 72238 synapses\n", + "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", + "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Duration: 96.2414394110001 s\n", + "f1 = 0.1676, a3 = 0.0811, (1-exp(-(0.4*d/60e-6)**2))\n", + " fun: 2.31759837990575\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 4165\n", - " nit: 103\n", + " nfev: 1223\n", + " nit: 60\n", " success: True\n", - " x: array([0.07681416, 4.4738939 , 1.83696122, 0.88847382])\n", + " x: array([0.16762648, 0.08111036])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_iSPN_np4/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0013574619952123612 seconds\n", - "Created connection matrix 0.013485583011060953 seconds\n", - "Created gap junction connection matrix 0.00012066701310686767 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008246300003520446 seconds\n", + "Created connection matrix 0.001478850999774295 seconds\n", + "Created gap junction connection matrix 0.0005096340009913547 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 12747, at 0\n", - "Created distance histogram (optimised) in 0.010416616016300395 seconds\n", - "Saving cache to networks/iSPN_to_iSPN_np4/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to iSPN (synapses)\n", - "Centering in None : Keeping 150/150\n", + "n_synapses = 363, at 0\n", + "Created distance histogram (optimised) in 0.0010882850001507904 seconds\n", + "Saving cache to networks/scan_dSPN_to_iSPN_f1_a3_distdep/network-synapses.hdf5-cache\n", + "Plotting connection probability dSPN to iSPN (synapses)\n", + "Centering in None : Keeping 75/75\n", "Counting connections\n", - "Requested: 10000000.0 calculated [22350.]\n", - "P(d<5e-05) = 0.35780065005417117\n", - "P(d<0.0001) = 0.2397173054883484\n" + "Requested: 10000000.0 calculated [5625.]\n", + "P(d<5e-05) = 0.05543478260869565\n", + "P(d<0.0001) = 0.04296974319857615\n" ] }, { "data": { - 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\n", + "image/png": 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np4/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_dSPN_to_iSPN_f1_a3_distdep/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 150/150\n", + "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 4414 connections\n" + "Plotting 219 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_iSPN_np4/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Wrote networks/scan_dSPN_to_iSPN_f1_a3_distdep/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_dSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np1_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np1_dd/network-config.json\n", + "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Writing networks/scan_dSPN_to_iSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_iSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_iSPN_f1_mu2_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 31/125 (150 neurons)\n", "Processing hyper voxel : 36/125 (148 neurons)\n", @@ -7414,83 +2859,112 @@ "Processing hyper voxel : 0/125 (1 neurons)\n", "Read 72238 out of total 72238 synapses\n", "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 13.08988891399349 s\n", - "f1 = 0.0478 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 12.270398644328347\n", + "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", + "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 200, fitness 1.0139117455821998\n", + "Worker iter: 300, fitness 1.0139117455821998\n", + "Worker iter: 300, fitness 1.0139117455821998\n", + "Worker iter: 300, fitness 1.0139117455821998\n", + "Worker iter: 300, fitness 1.0139117455821998\n", + "Worker iter: 300, fitness 1.0139117455821998\n", + "Worker iter: 300, fitness 1.0139117455821998\n", + "Worker iter: 300, fitness 1.0139117455821998\n", + "Worker iter: 300, fitness 1.0139117455821998\n", + "Worker iter: 400, fitness 1.0139117455821998\n", + "Duration: 227.28894724900056 s\n", + "f1 = 0.0520, mu2 = 2.2228, a3 = 0.3912, \n", + " fun: 1.1763411821532541\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 192\n", - " nit: 18\n", + " nfev: 2944\n", + " nit: 97\n", " success: True\n", - " x: array([0.04784096])\n", + " x: array([0.05196224, 2.22279896, 0.39123779])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_dSPN_np1_dd/figures\n", + "Creating figures directory networks/scan_dSPN_to_iSPN_f1_mu2_a3/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0008532110077794641 seconds\n", - "Created connection matrix 0.002837551000993699 seconds\n", - "Created gap junction connection matrix 0.00036370899761095643 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008298650009237463 seconds\n", + "Created connection matrix 0.0013874790001864312 seconds\n", + "Created gap junction connection matrix 0.0004812810002476908 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 1140, at 0\n", - "Created distance histogram (optimised) in 0.001347130018984899 seconds\n", - "Saving cache to networks/iSPN_to_dSPN_np1_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to dSPN (synapses)\n", + "n_synapses = 525, at 0\n", + "Created distance histogram (optimised) in 0.0012054240014549578 seconds\n", + "Saving cache to networks/scan_dSPN_to_iSPN_f1_mu2_a3/network-synapses.hdf5-cache\n", + "Plotting connection probability dSPN to iSPN (synapses)\n", "Centering in None : Keeping 75/75\n", "Counting connections\n", "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.24130434782608695\n", - "P(d<0.0001) = 0.19654207983727434\n" + "P(d<5e-05) = 0.058695652173913045\n", + "P(d<0.0001) = 0.039410119501652685\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np1_dd/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_dSPN_to_iSPN_f1_mu2_a3/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 974 connections\n" + "Plotting 175 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np1_dd/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n", - "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Wrote networks/scan_dSPN_to_iSPN_f1_mu2_a3/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_dSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np2_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np2_dd/network-config.json\n", + "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Writing networks/scan_dSPN_to_iSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_iSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_dSPN_to_iSPN_f1_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 31/125 (150 neurons)\n", "Processing hyper voxel : 36/125 (148 neurons)\n", @@ -7527,398 +3001,652 @@ "Processing hyper voxel : 16/125 (3 neurons)\n", "Processing hyper voxel : 40/125 (3 neurons)\n", "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 80/125 (2 neurons)\n", - "Processing hyper voxel : 63/125 (2 neurons)\n", - "Processing hyper voxel : 86/125 (2 neurons)\n", - "Processing hyper voxel : 13/125 (2 neurons)\n", - "Processing hyper voxel : 8/125 (2 neurons)\n", - "Processing hyper voxel : 58/125 (2 neurons)\n", + "Processing hyper voxel : 80/125 (2 neurons)\n", + "Processing hyper voxel : 63/125 (2 neurons)\n", + "Processing hyper voxel : 86/125 (2 neurons)\n", + "Processing hyper voxel : 13/125 (2 neurons)\n", + "Processing hyper voxel : 8/125 (2 neurons)\n", + "Processing hyper voxel : 58/125 (2 neurons)\n", + "Processing hyper voxel : 65/125 (1 neurons)\n", + "Processing hyper voxel : 28/125 (1 neurons)\n", + "Processing hyper voxel : 0/125 (1 neurons)\n", + "Read 72238 out of total 72238 synapses\n", + "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'iSPN': 1, 'dSPN': 2}\n", + "From hist_file: b'{\"dSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Worker iter: 100, fitness 1.0139117455821998\n", + "Duration: 62.46666920300049 s\n", + "f1 = 0.0356, a3 = 0.1261, \n", + " fun: 2.3967924004686596\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 863\n", + " nit: 42\n", + " success: True\n", + " x: array([0.03558019, 0.12611709])\n", + "Assuming volume type: cube [cube or full]\n", + "Only using 20000 neurons of the connection data\n", + "Number of neurons: 150\n", + "Synapse row 0 - 0.0 % time: 0.0008321300010720734 seconds\n", + "Created connection matrix 0.0013423720010905527 seconds\n", + "Created gap junction connection matrix 0.00015071400048327632 seconds\n", + "Creating population dictionary\n", + "Done.\n", + "Warning: the analysis cube specified by sideLen is too large.\n", + "!!! Setting sideLen to None\n", + "Calculating synapse distance histogram\n", + "Creating dist histogram\n", + "n_synapses = 283, at 0\n", + "Created distance histogram (optimised) in 0.0010261050010740291 seconds\n", + "Saving cache to networks/scan_dSPN_to_iSPN_f1_a3/network-synapses.hdf5-cache\n", + "Plotting connection probability dSPN to iSPN (synapses)\n", + "Centering in None : Keeping 75/75\n", + "Counting connections\n", + "Requested: 10000000.0 calculated [5625.]\n", + "P(d<5e-05) = 0.06521739130434782\n", + "P(d<0.0001) = 0.03991863717264175\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wrote networks/scan_dSPN_to_iSPN_f1_a3/figures/Network-distance-dependent-connection-probability-dSPN-to-iSPN-synapses-3D-dist.png\n", + "Plotting number of connections\n", + "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", + "Centering in None : Keeping 75/75\n", + "Calculating max synapses\n", + "Calculating mean synapses\n", + "Plotting 199 connections\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wrote networks/scan_dSPN_to_iSPN_f1_a3/figures/Network-number-of-synapses-from-dSPN-to-iSPN-per-cell.png\n", + "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Writing networks/scan_iSPN_to_iSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_iSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_iSPN_f1_mu2_a3_distdep/network-config.json\n", + "No d_view specified, running distribute neurons in serial\n", + "Processing hyper voxel : 56/125 (150 neurons)\n", + "Processing hyper voxel : 31/125 (149 neurons)\n", + "Processing hyper voxel : 36/125 (131 neurons)\n", + "Processing hyper voxel : 61/125 (129 neurons)\n", + "Processing hyper voxel : 57/125 (125 neurons)\n", + "Processing hyper voxel : 32/125 (115 neurons)\n", + "Processing hyper voxel : 55/125 (89 neurons)\n", + "Processing hyper voxel : 30/125 (79 neurons)\n", + "Processing hyper voxel : 51/125 (76 neurons)\n", + "Processing hyper voxel : 26/125 (73 neurons)\n", + "Processing hyper voxel : 62/125 (70 neurons)\n", + "Processing hyper voxel : 37/125 (55 neurons)\n", + "Processing hyper voxel : 60/125 (51 neurons)\n", + "Processing hyper voxel : 35/125 (41 neurons)\n", + "Processing hyper voxel : 81/125 (38 neurons)\n", + "Processing hyper voxel : 52/125 (31 neurons)\n", + "Processing hyper voxel : 27/125 (29 neurons)\n", + "Processing hyper voxel : 50/125 (17 neurons)\n", + "Processing hyper voxel : 6/125 (16 neurons)\n", + "Processing hyper voxel : 86/125 (15 neurons)\n", + "Processing hyper voxel : 25/125 (12 neurons)\n", + "Processing hyper voxel : 80/125 (11 neurons)\n", + "Processing hyper voxel : 82/125 (11 neurons)\n", + "Processing hyper voxel : 11/125 (8 neurons)\n", + "Processing hyper voxel : 7/125 (7 neurons)\n", + "Processing hyper voxel : 87/125 (6 neurons)\n", + "Processing hyper voxel : 1/125 (6 neurons)\n", + "Processing hyper voxel : 5/125 (5 neurons)\n", + "Processing hyper voxel : 76/125 (4 neurons)\n", + "Processing hyper voxel : 58/125 (3 neurons)\n", + "Processing hyper voxel : 41/125 (3 neurons)\n", + "Processing hyper voxel : 67/125 (3 neurons)\n", + "Processing hyper voxel : 12/125 (2 neurons)\n", + "Processing hyper voxel : 75/125 (2 neurons)\n", + "Processing hyper voxel : 33/125 (1 neurons)\n", + "Processing hyper voxel : 65/125 (1 neurons)\n", + "Processing hyper voxel : 66/125 (1 neurons)\n", + "Processing hyper voxel : 77/125 (1 neurons)\n", + "Processing hyper voxel : 10/125 (1 neurons)\n", + "Processing hyper voxel : 85/125 (1 neurons)\n", + "Processing hyper voxel : 42/125 (1 neurons)\n", + "Processing hyper voxel : 0/125 (1 neurons)\n", + "Read 291902 out of total 291902 synapses\n", + "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'iSPN': 1}\n", + "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 10.253955171358989\n", + "Worker iter: 100, fitness 10.317205217238673\n", + "Worker iter: 100, fitness 10.202499878080262\n", + "Worker iter: 100, fitness 10.088089395948714\n", + "Worker iter: 100, fitness 10.137545753968547\n", + "Worker iter: 100, fitness 10.125317317699992\n", + "Worker iter: 100, fitness 10.16874853991772\n", + "Worker iter: 100, fitness 10.137879195397064\n", + "Worker iter: 200, fitness 9.964665233946572\n", + "Worker iter: 200, fitness 9.972272697004662\n", + "Worker iter: 200, fitness 9.972470524506347\n", + "Worker iter: 200, fitness 9.956210026721969\n", + "Worker iter: 200, fitness 9.956714901068416\n", + "Worker iter: 200, fitness 9.956167847475863\n", + "Worker iter: 200, fitness 9.947122208522934\n", + "Worker iter: 200, fitness 9.956167847475863\n", + "Duration: 743.6196846559997 s\n", + "f1 = 0.2000, mu2 = 1.5649, a3 = 0.7973, (1-exp(-(0.4*d/60e-6)**2))\n", + " fun: 9.947122208522934\n", + " message: 'Optimization terminated successfully.'\n", + " nfev: 2014\n", + " nit: 66\n", + " success: True\n", + " x: array([0.1999648 , 1.56489676, 0.79729277])\n", + "Assuming volume type: cube [cube or full]\n", + "Only using 20000 neurons of the connection data\n", + "Creating figures directory networks/scan_iSPN_to_iSPN_f1_mu2_a3_distdep/figures\n", + "Number of neurons: 150\n", + "Synapse row 0 - 0.0 % time: 0.0016544829995837063 seconds\n", + "Created connection matrix 0.013095243000861956 seconds\n", + "Created gap junction connection matrix 0.00018462200023350306 seconds\n", + "Creating population dictionary\n", + "Done.\n", + "Warning: the analysis cube specified by sideLen is too large.\n", + "!!! Setting sideLen to None\n", + "Calculating synapse distance histogram\n", + "Creating dist histogram\n", + "n_synapses = 10679, at 0\n", + "Created distance histogram (optimised) in 0.008873979999407311 seconds\n", + "Saving cache to networks/scan_iSPN_to_iSPN_f1_mu2_a3_distdep/network-synapses.hdf5-cache\n", + "Plotting connection probability iSPN to iSPN (synapses)\n", + "Centering in None : Keeping 150/150\n", + "Counting connections\n", + "Requested: 10000000.0 calculated [22350.]\n", + "P(d<5e-05) = 0.2700433369447454\n", + "P(d<0.0001) = 0.2150133706863619\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wrote networks/scan_iSPN_to_iSPN_f1_mu2_a3_distdep/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", + "Plotting number of connections\n", + "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", + "Centering in None : Keeping 150/150\n", + "Calculating max synapses\n", + "Calculating mean synapses\n", + "Plotting 4103 connections\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Wrote networks/scan_iSPN_to_iSPN_f1_mu2_a3_distdep/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", + "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", + "Writing networks/scan_iSPN_to_iSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_iSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_iSPN_f1_a3_distdep/network-config.json\n", + "No d_view specified, running distribute neurons in serial\n", + "Processing hyper voxel : 56/125 (150 neurons)\n", + "Processing hyper voxel : 31/125 (149 neurons)\n", + "Processing hyper voxel : 36/125 (131 neurons)\n", + "Processing hyper voxel : 61/125 (129 neurons)\n", + "Processing hyper voxel : 57/125 (125 neurons)\n", + "Processing hyper voxel : 32/125 (115 neurons)\n", + "Processing hyper voxel : 55/125 (89 neurons)\n", + "Processing hyper voxel : 30/125 (79 neurons)\n", + "Processing hyper voxel : 51/125 (76 neurons)\n", + "Processing hyper voxel : 26/125 (73 neurons)\n", + "Processing hyper voxel : 62/125 (70 neurons)\n", + "Processing hyper voxel : 37/125 (55 neurons)\n", + "Processing hyper voxel : 60/125 (51 neurons)\n", + "Processing hyper voxel : 35/125 (41 neurons)\n", + "Processing hyper voxel : 81/125 (38 neurons)\n", + "Processing hyper voxel : 52/125 (31 neurons)\n", + "Processing hyper voxel : 27/125 (29 neurons)\n", + "Processing hyper voxel : 50/125 (17 neurons)\n", + "Processing hyper voxel : 6/125 (16 neurons)\n", + "Processing hyper voxel : 86/125 (15 neurons)\n", + "Processing hyper voxel : 25/125 (12 neurons)\n", + "Processing hyper voxel : 80/125 (11 neurons)\n", + "Processing hyper voxel : 82/125 (11 neurons)\n", + "Processing hyper voxel : 11/125 (8 neurons)\n", + "Processing hyper voxel : 7/125 (7 neurons)\n", + "Processing hyper voxel : 87/125 (6 neurons)\n", + "Processing hyper voxel : 1/125 (6 neurons)\n", + "Processing hyper voxel : 5/125 (5 neurons)\n", + "Processing hyper voxel : 76/125 (4 neurons)\n", + "Processing hyper voxel : 58/125 (3 neurons)\n", + "Processing hyper voxel : 41/125 (3 neurons)\n", + "Processing hyper voxel : 67/125 (3 neurons)\n", + "Processing hyper voxel : 12/125 (2 neurons)\n", + "Processing hyper voxel : 75/125 (2 neurons)\n", + "Processing hyper voxel : 33/125 (1 neurons)\n", "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 28/125 (1 neurons)\n", + "Processing hyper voxel : 66/125 (1 neurons)\n", + "Processing hyper voxel : 77/125 (1 neurons)\n", + "Processing hyper voxel : 10/125 (1 neurons)\n", + "Processing hyper voxel : 85/125 (1 neurons)\n", + "Processing hyper voxel : 42/125 (1 neurons)\n", "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 72238 out of total 72238 synapses\n", - "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 9.420289722621424\n", - "Worker iter: 100, fitness 9.420289722621424\n", - "Worker iter: 100, fitness 9.420289722621424\n", - "Worker iter: 100, fitness 9.420289722621424\n", - "Worker iter: 100, fitness 9.420289722621424\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.420289722621424\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Duration: 58.788707507017534 s\n", - "f1 = 0.2459, mu2 = 2.5169 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 9.418741943739974\n", + "Read 291902 out of total 291902 synapses\n", + "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'iSPN': 1}\n", + "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 9.947122208522934\n", + "Worker iter: 100, fitness 9.947122208522934\n", + "Worker iter: 100, fitness 9.947122208522934\n", + "Worker iter: 100, fitness 9.947122208522934\n", + "Worker iter: 100, fitness 9.947122208522934\n", + "Worker iter: 100, fitness 9.947122208522934\n", + "Worker iter: 100, fitness 9.947122208522934\n", + "Worker iter: 100, fitness 9.947122208522934\n", + "Duration: 303.76963883700046 s\n", + "f1 = 0.0977, a3 = 0.8091, (1-exp(-(0.4*d/60e-6)**2))\n", + " fun: 11.672223415831102\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 1063\n", - " nit: 52\n", + " nfev: 863\n", + " nit: 42\n", " success: True\n", - " x: array([0.2459324 , 2.51686365])\n", + " x: array([0.09769497, 0.80906955])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_dSPN_np2_dd/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007471270218957216 seconds\n", - "Created connection matrix 0.0032270930241793394 seconds\n", - "Created gap junction connection matrix 0.0003264179977122694 seconds\n", + "Synapse row 0 - 0.0 % time: 0.000937785998758045 seconds\n", + "Created connection matrix 0.01445558900013566 seconds\n", + "Created gap junction connection matrix 0.1502208170004451 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 2896, at 0\n", - "Created distance histogram (optimised) in 0.0027313840109854937 seconds\n", - "Saving cache to networks/iSPN_to_dSPN_np2_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to dSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", + "n_synapses = 7855, at 0\n", + "Created distance histogram (optimised) in 0.007449975000781706 seconds\n", + "Saving cache to networks/scan_iSPN_to_iSPN_f1_a3_distdep/network-synapses.hdf5-cache\n", + "Plotting connection probability iSPN to iSPN (synapses)\n", + "Centering in None : Keeping 150/150\n", "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.24456521739130435\n", - "P(d<0.0001) = 0.17772692601067888\n" + "Requested: 10000000.0 calculated [22350.]\n", + "P(d<5e-05) = 0.3488624052004334\n", + "P(d<0.0001) = 0.2928817012606647\n" ] }, { "data": { 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np2_dd/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_iSPN_to_iSPN_f1_a3_distdep/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", + "Centering in None : Keeping 150/150\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 822 connections\n" + "Plotting 5791 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ - "
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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np2_dd/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n", + "Wrote networks/scan_iSPN_to_iSPN_f1_a3_distdep/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_dSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np3_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np3_dd/network-config.json\n", + "Writing networks/scan_iSPN_to_iSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_iSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_iSPN_f1_mu2_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 31/125 (150 neurons)\n", - "Processing hyper voxel : 36/125 (148 neurons)\n", - "Processing hyper voxel : 32/125 (146 neurons)\n", - "Processing hyper voxel : 37/125 (139 neurons)\n", - "Processing hyper voxel : 56/125 (124 neurons)\n", - "Processing hyper voxel : 61/125 (108 neurons)\n", - "Processing hyper voxel : 57/125 (87 neurons)\n", - "Processing hyper voxel : 6/125 (87 neurons)\n", - "Processing hyper voxel : 11/125 (74 neurons)\n", - "Processing hyper voxel : 62/125 (71 neurons)\n", - "Processing hyper voxel : 7/125 (64 neurons)\n", - "Processing hyper voxel : 30/125 (60 neurons)\n", - "Processing hyper voxel : 35/125 (56 neurons)\n", - "Processing hyper voxel : 26/125 (43 neurons)\n", - "Processing hyper voxel : 12/125 (40 neurons)\n", + "Processing hyper voxel : 56/125 (150 neurons)\n", + "Processing hyper voxel : 31/125 (149 neurons)\n", + "Processing hyper voxel : 36/125 (131 neurons)\n", + "Processing hyper voxel : 61/125 (129 neurons)\n", + "Processing hyper voxel : 57/125 (125 neurons)\n", + "Processing hyper voxel : 32/125 (115 neurons)\n", + "Processing hyper voxel : 55/125 (89 neurons)\n", + "Processing hyper voxel : 30/125 (79 neurons)\n", + "Processing hyper voxel : 51/125 (76 neurons)\n", + "Processing hyper voxel : 26/125 (73 neurons)\n", + "Processing hyper voxel : 62/125 (70 neurons)\n", + "Processing hyper voxel : 37/125 (55 neurons)\n", + "Processing hyper voxel : 60/125 (51 neurons)\n", + "Processing hyper voxel : 35/125 (41 neurons)\n", + "Processing hyper voxel : 81/125 (38 neurons)\n", + "Processing hyper voxel : 52/125 (31 neurons)\n", "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 55/125 (26 neurons)\n", - "Processing hyper voxel : 60/125 (21 neurons)\n", - "Processing hyper voxel : 41/125 (19 neurons)\n", - "Processing hyper voxel : 5/125 (17 neurons)\n", - "Processing hyper voxel : 51/125 (13 neurons)\n", - "Processing hyper voxel : 1/125 (10 neurons)\n", - "Processing hyper voxel : 10/125 (9 neurons)\n", - "Processing hyper voxel : 42/125 (8 neurons)\n", - "Processing hyper voxel : 2/125 (7 neurons)\n", - "Processing hyper voxel : 33/125 (7 neurons)\n", - "Processing hyper voxel : 66/125 (7 neurons)\n", - "Processing hyper voxel : 81/125 (7 neurons)\n", - "Processing hyper voxel : 52/125 (5 neurons)\n", - "Processing hyper voxel : 17/125 (5 neurons)\n", - "Processing hyper voxel : 25/125 (3 neurons)\n", - "Processing hyper voxel : 38/125 (3 neurons)\n", - "Processing hyper voxel : 16/125 (3 neurons)\n", - "Processing hyper voxel : 40/125 (3 neurons)\n", + "Processing hyper voxel : 50/125 (17 neurons)\n", + "Processing hyper voxel : 6/125 (16 neurons)\n", + "Processing hyper voxel : 86/125 (15 neurons)\n", + "Processing hyper voxel : 25/125 (12 neurons)\n", + "Processing hyper voxel : 80/125 (11 neurons)\n", + "Processing hyper voxel : 82/125 (11 neurons)\n", + "Processing hyper voxel : 11/125 (8 neurons)\n", + "Processing hyper voxel : 7/125 (7 neurons)\n", + "Processing hyper voxel : 87/125 (6 neurons)\n", + "Processing hyper voxel : 1/125 (6 neurons)\n", + "Processing hyper voxel : 5/125 (5 neurons)\n", + "Processing hyper voxel : 76/125 (4 neurons)\n", + "Processing hyper voxel : 58/125 (3 neurons)\n", + "Processing hyper voxel : 41/125 (3 neurons)\n", "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 80/125 (2 neurons)\n", - "Processing hyper voxel : 63/125 (2 neurons)\n", - "Processing hyper voxel : 86/125 (2 neurons)\n", - "Processing hyper voxel : 13/125 (2 neurons)\n", - "Processing hyper voxel : 8/125 (2 neurons)\n", - "Processing hyper voxel : 58/125 (2 neurons)\n", + "Processing hyper voxel : 12/125 (2 neurons)\n", + "Processing hyper voxel : 75/125 (2 neurons)\n", + "Processing hyper voxel : 33/125 (1 neurons)\n", "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 28/125 (1 neurons)\n", + "Processing hyper voxel : 66/125 (1 neurons)\n", + "Processing hyper voxel : 77/125 (1 neurons)\n", + "Processing hyper voxel : 10/125 (1 neurons)\n", + "Processing hyper voxel : 85/125 (1 neurons)\n", + "Processing hyper voxel : 42/125 (1 neurons)\n", "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 72238 out of total 72238 synapses\n", - "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 200, fitness 9.418741943739974\n", - "Worker iter: 200, fitness 9.418741943739974\n", - "Worker iter: 200, fitness 9.418741943739974\n", - "Worker iter: 200, fitness 9.418741943739974\n", - "Worker iter: 200, fitness 9.418741943739974\n", - "Worker iter: 200, fitness 9.418741943739974\n", - "Worker iter: 200, fitness 9.418741943739974\n", - "Worker iter: 200, fitness 9.418741943739974\n", - "Duration: 87.75578714799485 s\n", - "f1 = 0.3004, mu2 = 2.6989, a3 = 0.8205 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 9.581739262999552\n", + "Read 291902 out of total 291902 synapses\n", + "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'iSPN': 1}\n", + "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 5.744190617574274\n", + "Worker iter: 100, fitness 5.6082073852721415\n", + "Worker iter: 100, fitness 5.759127205707534\n", + "Worker iter: 100, fitness 5.77827640650964\n", + "Worker iter: 100, fitness 5.5594591742801285\n", + "Worker iter: 100, fitness 5.604366509761244\n", + "Worker iter: 100, fitness 5.642775929514305\n", + "Worker iter: 100, fitness 5.590551665968686\n", + "Worker iter: 200, fitness 5.355888199942722\n", + "Worker iter: 200, fitness 5.339572786675628\n", + "Worker iter: 200, fitness 5.305389864492992\n", + "Worker iter: 200, fitness 5.301888264934991\n", + "Worker iter: 200, fitness 5.358882571394863\n", + "Worker iter: 200, fitness 5.352683451547616\n", + "Worker iter: 200, fitness 5.312269158473754\n", + "Worker iter: 200, fitness 5.333019977656621\n", + "Duration: 676.1312277489997 s\n", + "f1 = 0.0768, mu2 = 1.8366, a3 = 0.8885, \n", + " fun: 5.259654731099225\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 1864\n", - " nit: 61\n", + " nfev: 2164\n", + " nit: 71\n", " success: True\n", - " x: array([0.30036882, 2.69891576, 0.82047295])\n", + " x: array([0.07684669, 1.83663713, 0.88848087])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_dSPN_np3_dd/figures\n", + "Creating figures directory networks/scan_iSPN_to_iSPN_f1_mu2_a3/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007475859893020242 seconds\n", - "Created connection matrix 0.003379469009814784 seconds\n", - "Created gap junction connection matrix 0.0003335429937578738 seconds\n", + "Synapse row 0 - 0.0 % time: 0.001609577000635909 seconds\n", + "Created connection matrix 0.01474771600078384 seconds\n", + "Created gap junction connection matrix 0.000476985000204877 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 3191, at 0\n", - "Created distance histogram (optimised) in 0.002920800994616002 seconds\n", - "Saving cache to networks/iSPN_to_dSPN_np3_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to dSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", + "n_synapses = 13140, at 0\n", + "Created distance histogram (optimised) in 0.011382597000192618 seconds\n", + "Saving cache to networks/scan_iSPN_to_iSPN_f1_mu2_a3/network-synapses.hdf5-cache\n", + "Plotting connection probability iSPN to iSPN (synapses)\n", + "Centering in None : Keeping 150/150\n", "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.23369565217391305\n", - "P(d<0.0001) = 0.1756928553267226\n" + "Requested: 10000000.0 calculated [22350.]\n", + "P(d<5e-05) = 0.3580715059588299\n", + "P(d<0.0001) = 0.23984464535846173\n" ] }, { "data": { - 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GtG4qlQq5ubmIj4/Hvn378Oabb8LV1dWkj2H06NHo1q0bf//IkSOIjo426TlqS9lBHEUiUYXnvypl58oDns5DZsoyAagQTqpSvkym0r59e6xatQr379+vMEbTrVu3KlzmXxl/f/8Kr1PGGKRSKdLT03Hu3Dl89dVXeOaZZ0xafo7jtII9gAYV7AnRoLBEmrQ5c+ZoTdEAABcvXkRxcbGZSmQYjuMqjLNE/4QaLx8fH/z5559wcHDQWn7ixAkzlchwL730klbQO3bsWIUJhQmp7ygskSbvrbfe0rqvUCgaxCB6I0aMQL9+/fj7J06cMLimwZycnZ3536VSabUHDC3f7FbZcBE1LRMAFBUVVWt/UzQFVsXT07PC4KsN5XL88qN4U7AnDQ2FJdLk+fr6Vph6xBRNO3WhIf4TKnu5PGMMiYmJ1do/Pj6e/10gEJikCczLy0vrfnXLVFdzEZbt/wM0nNfpsGHDtJr4IiMjG0StGCEaFJYIASr0m6lunxVzCQsLw+DBg/n7586dw7Fjx2r9vGXna6uu8p2Hq9PXKjs7Gw8fPuTvh4SEVGvamMqU7f8FAFeuXDF43/z8/GqHq5pqqK9ToGKw//jjj81UEkKqj8ISafJyc3MrzMlVdtLa+q78wIF18U9IKBRq3VcoFAbvW7bpEAD27dtn8L4///yz1hVgffv2NXhffXr06KF1peJvv/1m8JVm+/fvr7O5B+Pi4rTuN6TX6YABAzB8+HD+/qVLl3DkyBEzlogQw1FYIg2eRCLRqm2orh07dmj9Y+zYsWOFZrn6rE+fPnj++ef5+1evXjV6+IOqlG/6yszMNHjfsLAwrX/yR48eNehycolEgi+//FJr2ZQpUww+rz4ikQgjR47k76ekpGDnzp1V7ieXy7F27VqDzxMbG1vjcaEkEgn279+vtWzQoEE1Opa56Kpdqo1xzQgxNQpLpMHLyclBu3btMH/+fCQnJ1dr33PnzlWYhqF8J9qGYOXKlVpNY4cPH67V89na2sLPz4+/HxUVZXAIEAgEmD9/Pn9frVZj6tSpyM3NrXQftVqNOXPmIDU1lV/Wp0+fag0eWZU33nhD6/77779foSanvHfeeadaTXDr1q1Dx44dsW/fPqhUKoP3U6lUmDlzJjIyMvhlzs7OCA8PN/gY9UGPHj20QumNGzeQkpJixhIRYhgKS6RRUCqV2Lp1K1q2bIlhw4Zh9+7dWv9Yy3v06BGWLFmCIUOGQCqV8st9fX3x3nvv1UWRTapr165Gj7hcXWU77CYmJmLcuHE4evQo4uLitOYf0/V3WLRokdbgkvfu3UNoaKjOq/mSkpLw4osv4pdffuGXWVtba03GawqDBg3SCsq5ubkYOHAgDhw4UKGZLSMjA5MmTcLWrVsBVLyaTp/79+9j0qRJ8PPzwwcffICLFy9W2oypUqnw559/omfPnhXmGFy+fHmFoQQagvLBnpCGwMrcBSDElBhjOHHiBH+ljZ+fH1q1agV3d3dYW1ujsLAQ9+/fx8OHDytU/zs5OeH333+HSCQyR9GN9umnn+LgwYN11n/mjTfewN69e/nn8Y8//sAff/xRYTt/f/8KNX62trb4+eefMXjwYH5AyLi4OAwaNAitWrVCx44dIRQKkZSUhKtXr2r9rTiOw4YNGxASEmLyx7Rp0yZcvXqVry3KysrCuHHj4Ovri65du8Le3h4pKSmIjo7ma9KGDRsGHx8f7Nq1q1rnyszMxJdffokvv/wSQqEQnTp1gqenJ1xcXCCTyZCRkYHbt29DLBZX2HfKlCkVhrxoKDp16oSJEydqhV9C6jsKS6TBs7OzQ/PmzXXWYDx+/BiPHz+u8hjdunXDjz/+WOHS7Iakffv2ePnll7Fnz546OV/fvn2xbt06fPDBBzXqh9O1a1dERUXhhRde0GqKSUxMrLRpy8bGBlu3bsW0adNqXG59PDw8cOrUKQwdOlRrDKO0tDSkpaVV2L5Xr17Yt2+fwbWRLVu2hJWVVYUmOLlcjqtXr1a5v1AoxJIlS/Dxxx9Xe+Tz+mTFihXYv3+/Seb1I6QuNNx3GyH/8vT0REpKCi5duoQPP/wQoaGhFa7W0sXKygrh4eHYu3cvLl++3KCDksby5cthZVV334EWLFiAW7duYdGiRejXrx88PDwMeu41OnXqhHv37mHlypVo1qxZpdvZ29tj+vTpiIuLq7WgpNGiRQvcuHEDixYtqvTSfB8fHyxfvhxRUVHVGhTzk08+QVZWFrZv346XX35Zq9+XPs2bN8eiRYtw584dLF++3CTDJZhTmzZtav3vSIgpcYwuRSCNkEKhQEJCAuLj45Geng6xWAy1Wg0HBwe4uLigXbt26NixI2xsbMxdVFLGjRs3cPv2bWRnZ0OhUMDDwwMtW7ZEaGgorK2t67w8MpkMp0+fRlJSEoqKiuDt7Y3AwED079/fZIElKyuLbxouKCiAVCqFjY0NHB0d4evriy5duqB58+YmORchpGYoLBFCCCGE6EHNcIQQQgghelBYIoQQQgjRg8ISIYQQQogeFJYIIYQQQvSgsEQIIYQQogeFJUIIIYQQPSgsEUIIIYToQWGJEEIIIUQPCkuEEEIIIXpQWCKEEEII0YPCEiGEEEKIHhSWCCGEEEL0oLBECCGEEKIHhSVCCCGEED0oLBFCCCGE6EFhiRBCCCFEDwpLhBBCCCF6UFgihBBCCNGDwhIhhBBCiB4UlgghhBBC9KCwRAghhBCiB4UlQgghhBA9KCwRQgghhOhBYYkQQgghRA8KS4QQQgghelBYIoQQQgjRg8ISIYQQQogeFJYIIYQQQvSgsEQIIYQQogeFJUIIIYQQPSgsmQljDHPnzoWrqys4jsONGzfMXSRCSBP1zDPPYO/eveYuhsHi4uLg7e0NsVhc5bb18bElJyc3+M/9SZMm4auvvqqz8y1ZsgRvvfWW1rK7d++iefPmkEqltV8ARszi6NGjTCAQsPPnz7OMjAymVCrZmTNn2AsvvMB8fHwYAPb777/XSVlOnz7NunbtyqytrVmrVq3Y9u3b9W5///59NmjQIObp6cmEQiELDAxkH330EVMoFFrb/frrr6xt27ZMKBSyjh07sr/++ktrvVqtZh9//DHz9vZmNjY2bMiQISw+Pl7nOWUyGevSpQsDwGJiYox5uCZz+vRp9tJLLzFvb29mZ2fHunTpwvbs2VOr57xx4wabNGkSa968ObOxsWHt2rVjGzZsMGjfI0eOsF69ejEbGxvm7OzMRo4cqbX+xIkTrG/fvsze3p55eXmxDz74gCmVSq1tjh07xnr37s3s7e2Zu7s7GzNmDEtKStLa5ptvvmHt2rVjNjY2rE2bNmznzp3GPGSdcnJy2PDhw5mPjw+ztrZmzZs3Z2+88QYrLCw0+bnKys3NZS+//DJzcHBgTk5ObNasWUwsFuvdJyMjg02ZMoV5eXkxOzs71rVrV/bbb7/x65OSktisWbNYQEAAs7GxYS1btmSffPIJk8vlWse5efMm69+/PxMKhax58+ZszZo1Wuu3b9/OAGjdhEJhlY/p0KFDrE2bNqy0tJRftnXrVjZw4EDm4ODAALD8/HwDnp26M3r0aPbZZ59VuZ2ux1ZSUsJef/115urqykQiERszZgzLzMw0+Nzz5s1jANj69esrrDt9+jRbtmxZlcdISkrS+VmWnJzMbGxs+NdUfn4+e/3115m3tzeztrZmQUFBFT5Hv/nmG+bv78+EQiHr1asXi46ONvix6FPVuW/fvs1cXFxYQUFBhX2XLVvGTp8+rfO4utYZ8lmanZ3NHBwcWGJiotbysWPHsk8//bRmD7IaqGbJTBITE+Hj44N+/frB29sbVlZWkEql6NKlC7799ts6K0dSUhKef/55hIWF4caNG3j33Xcxe/ZsREREVLqPQCDAtGnTcPz4ccTFxWHDhg344YcfsGzZMn6bCxcuYPLkyXj11VcRExODUaNGYdSoUYiNjeW3Wbt2LTZu3IgtW7YgOjoaIpEIw4cPh0wmq3DODz74AM2aNTPtgzfShQsX0LlzZxw4cAC3bt3CzJkzMW3aNBw5cqTWznnt2jV4enpiz549uHPnDj766CMsXboU33zzjd79Dhw4gKlTp2LmzJm4efMmzp8/j5dffplff/PmTYwYMQLPPvssYmJisG/fPhw+fBhLlizht0lKSsLIkSMxePBg3LhxAxEREcjJycGYMWP4bTZv3oylS5di+fLluHPnDlasWIE33ngDf/75p0mfBwsLC4wcORKHDx9GfHw8duzYgRMnTmD+/PkmPU95r7zyCu7cuYN//vkHR44cQVRUFObOnat3n2nTpiEuLg6HDx/G7du3MWbMGEyYMAExMTEAgPv370OtVmPr1q24c+cO1q9fjy1btuDDDz/kj1FUVITw8HD4+/vj2rVr+PLLL7F8+XJ8//33WudydHRERkYGf3v06FGVj2njxo2YOXMmLCz+/99BcXExnn32Wa0y1BcpKSk4cuQIZsyYUeW2uh7be++9hz///BP79+/HmTNnkJ6ervUa1uf333/HpUuXKnwWbdmyBU+ePOHvKxQKfPXVV1AqlYY9qH8dOnQIYWFhsLe3h0KhwLBhw5CcnIzffvsNcXFx+OGHH+Dr68tvv2/fPixYsADLli3D9evX0aVLFwwfPlyrLDVhyLk7duyIVq1aYc+ePQAApVJZ4TE/efIEW7du1bsOMOyz1N3dHcOHD8fmzZu1yjpz5kxs3rwZKpXKqMdcpVqPY6SC6dOna3378/f3r7AN6qhm6YMPPmDBwcFayyZOnMiGDx9ereO89957rH///vz9CRMmsOeff15rm969e7N58+Yxxp7WKnl7e7Mvv/ySX19QUMCEQiH7+eeftfY7evQoa9euHbtz506NapamT5/ORo4cyT7//HPm6enJnJyc2IoVK5hSqWTvv/8+c3FxYb6+vuzHH3/k9zl9+nSFb9QxMTEMQIWalLJGjBjBZs6cWa3yGev1119nYWFhla5XKpXM19eXbdu2rdJtli5dynr06KG17PDhw8zGxoYVFRUxxhjbv38/s7Ky0vqWfvjwYcZxHF+r2LdvX/b+++9rHWfBggUsNDS0Wo9p165drHv37nwt1+TJk1lWVpbefb7++mvWvHnzap2nOu7evcsAsCtXrvDL/v77b8ZxHEtLS6t0P5FIxHbt2qW1zNXVlf3www+V7rN27VoWGBjI3//uu++Yi4uLVm3T4sWLWdu2bfn727dvZ05OTtV5SOzJkyeM4zgWGxurc72u94E+t2/fZs8++ywTiUTM09OTTZkyhWVnZ/PHEggELCoqit9+zZo1zMPDg6/ZGThwIHvjjTfYG2+8wRwdHZmbmxv7z3/+w9RqNb/Pl19+WeG1auhjKygoYAKBgO3fv59fdu/ePQaAXbx4Ue/xUlNTma+vL4uNjWX+/v5aNUtHjhxhvXv3Zm+//TYbN24cCw0NZevWreNrZqOjo1lISAgTCoWse/fu7ODBgzo/ywYPHsw2b97MGGNs8+bNrGXLlhVq7Mvq1asXe+ONN/j7paWlrFmzZuyLL77gl+Xn57NXX32Vubu7MwcHBxYWFsZu3Lih97Eacm7GGFuxYgX/ua9UKtm6detY//792bhx49jbb7/NevXqxY4cOaJ3XWV0fZbu3LmzwntcLpczoVDITpw4obesxqKaJTP4+uuv8emnn6J58+bIyMjAlStXanyss2fPwt7eXu/tp59+qnT/ixcvYujQoVrLhg8fjosXLxpchgcPHuDYsWMYOHCgwcdNSkpCZmam1jZOTk7o3bu31rmzsrIwZ84c7N69G3Z2dgaXqbxTp04hPT0dUVFR+O9//4tly5bhhRdegIuLC6KjozF//nzMmzcPqampNT4HABQWFsLV1VXvNlX9vapbO1LVOa9fv460tDRYWFiga9eu8PHxwXPPPadVyyeXy2FjY6O1n62tLWQyGa5duwYA6N69OywsLLB9+3aUlpaisLAQu3fvxtChQyEQCPQe5/Lly9X6lq1UKrFy5UrcvHkTf/zxB5KTk/XWJKSnp+PgwYNar0FdgoOD9T73zz33XKX7Xrx4Ec7OzujRowe/bOjQobCwsEB0dHSl+/Xr1w/79u1DXl4e1Go1fvnlF8hkMgwaNKjSfcr/TS9evIhnnnkG1tbW/LLhw4cjLi4O+fn5/DKJRAJ/f3/4+flh5MiRuHPnjt7n49y5c7Czs0P79u31bmeIgoICDB48GF27dsXVq1dx7NgxZGVlYcKECQCAQYMG4d1338XUqVNRWFiImJgYfPzxx9i2bRu8vLz44+zcuRNWVla4fPkyvv76a/z3v//Ftm3b+PVnz57V+htU57Fdu3YNSqVS63OnXbt2aNGihd7PPLVajalTp2LRokUIDg6usP75559HREQEjh8/jqNHj2LTpk1YuHAhrKysIJFI8MILL6BDhw64du0ali9fjvfff1/n83fu3Dm89NJLAIDDhw+jb9++eOONN+Dl5YWOHTti1apVKC0tBfC09ufatWtaj8XCwgJDhw7Veizjx4/HkydP8Pfff+PatWvo1q0bhgwZgry8vEofb1Xn1ujVqxcuX74MuVwOKysrLFy4EBs3bsTRo0dx/PhxHD9+HM8//7zedZXR9bnWq1cvpKamIjk5mV9mbW2NkJAQnD17ttJjmUStRjFSqfXr1+usUdKAgTVLxcXFLCEhQe9NUzOgS1BQEFu1apXWsr/++osBYMXFxXrP3bdvXyYUChkANnfuXK0aB4FAwPbu3au1/bfffss8PT0ZY4ydP3+eAWDp6ela24wfP55NmDCBMfa09unZZ59lK1euZIxV3s5flenTpzN/f3+t8rVt25YNGDCAv69SqZhIJOJrtWpSs7Rv3z5mbW1d6bd0jar+XlXVoJR1/vx5ZmVlxSIiIird5ueff2YAWIsWLdhvv/3Grl69yiZPnszc3NxYbm4uY4yxiIgIZmFhwfbu3ctUKhVLTU1lAwYMYAC0/o6RkZHM09OTWVpaMgCsb9++Ws/R0qVLmbe3N7t69SpTq9XsypUrzMvLS+ffujquXLnCAFToHzRp0iRma2vLALAXX3yRlZSU6D1OcnKy3uc+NTW10n0///xz1qZNmwrLPTw82HfffVfpfvn5+Sw8PJwBYFZWVszR0VHv3yshIYE5Ojqy77//nl82bNgwNnfuXK3tNDWtd+/eZYwxduHCBbZz504WExPDIiMj2QsvvMAcHR3Z48ePKz3X+vXrWcuWLStdX52apZUrV7Lw8HCtZY8fP2YAWFxcHGPsaS1ASEgImzBhAuvQoQObM2eO1vYDBw5k7du316pJWrx4MWvfvj1/v0uXLgb1UdH12H766SdmbW1dYduePXuyDz74oNJjrVq1ig0bNowvV/mapb///pv16dOHr1nq378/27BhA1OpVGzr1q3Mzc1N67W5efPmCp9lP/30k1aNmaa/56xZs9jVq1fZL7/8wlxdXdny5csZY4ylpaUxAOzChQtaZV20aBHr1asXY4yxs2fPMkdHRyaTybS2adWqFdu6dWulj7eqc2vcvHmTAWDJyclMpVKxDRs2aNUe9enTh/3999961+lS2WdpYWEhA8AiIyO1lo8ePZrNmDGj0sdjClSz1MDZ2tqidevWem8ODg61cu59+/bh+vXr2Lt3L/766y+sW7fOpMfftGkTxGIxli5davSxgoODtfoteHl5oVOnTvx9S0tLuLm51bit//Tp05g5cyZ++OEHnd88y6rq7+Xp6WnQOWNjYzFy5EgsW7YM4eHhlW6nVqsBAB999BHGjh2L7t27Y/v27eA4Dvv37wcAhIeH48svv8T8+fMhFArRpk0bjBgxAgD45y0zMxNz5szB9OnTceXKFZw5cwbW1tYYN24cGGMAgI8//hjPPfcc+vTpA4FAgJEjR2L69OlaxzHEtWvX8OKLL6JFixZwcHDga4xSUlK0tlu/fj2uX7+OQ4cOITExEQsWLNB7XH9/f73Pfdk+Gaby8ccfo6CgACdOnMDVq1exYMECTJgwAbdv366wbVpaGp599lmMHz8ec+bMqdZ5+vbti2nTpiEkJAQDBw7EwYMH4eHhwfcL0aWkpKRCTaAhnnvuOb42TvN6v3nzJk6fPq1VU9euXTsAT/toAk9rAX766SccOHAAMpkM69evr3DsPn36gOM4rceVkJDA12roKrOumtmaPrbyrl27hq+//ho7duzQKldZSUlJOHToEEaPHo3g4GCcPHkSSqUSarUa9+7dQ+fOnbXK0rdv3wrHOHToEF+rBDx933p6euL7779H9+7dMXHiRHz00UfYsmWLwWW/efMmJBIJ3NzctJ6jpKQkJCYmIiUlRWv5qlWrqnVuW1tbAE/7uKnVaiiVSpw8eRLBwcEYPXo0Xyusb115+j5Ly56v/PLyy0zNqlaPTmrd2bNn9TYdAMDWrVvxyiuv6Fzn7e2NrKwsrWVZWVlwdHTkX5iV8fPzAwB06NABpaWlmDt3LhYuXAhLS8tKj+vt7c2fV7PMx8dHa5uQkBAAT5vOLl68CKFQqHWcHj164JVXXsHOnTv1lq8sTTORBsdxOpdpgoXmH7smBACotBnpzJkzePHFF7F+/XpMmzatyrLY29vrXT9lypQqPxDv3r2LIUOGYO7cufjPf/6jd1vN89uhQwd+mVAoRMuWLbXCx4IFC/Dee+8hIyMDLi4uSE5OxtKlS9GyZUsAwLfffgsnJyesXbuW32fPnj3w8/NDdHQ0+vTpA1tbW/z444/YunUr/7f9/vvv4eDgAA8PD73l1JBKpRg+fDiGDx+On376CR4eHkhJScHw4cOhUCi0tvX29oa3tzfatWsHV1dXDBgwAB9//LHWa6qs4OBgvZ2eBwwYgL///lvnOm9v7wphWqVSIS8vj389l5eYmIhvvvkGsbGx/Ad/ly5dcPbsWXz77bdaf+f09HSEhYWhX79+FTpuV/Z+0qzTRSAQoGvXrnjw4EGlj9fd3V2rGc9Q27ZtQ0lJCX8e4GkT4Isvvog1a9ZU2L7s3+PChQsAgLy8POTl5UEkElXr3LrKXPYSfEdHx0q38/b2hkKhQEFBAZydnfnlZT+byjt79iyePHmCFi1a8MtKS0uxcOFCbNiwAcnJyXjttdcAPH1fAk9Doa6mtsooFAocO3ZMq0O9j48PBAIBLC0t+WXt27dHZmYmFAoF3N3dYWlpqfdzViKRwMfHB5GRkRXO6ezsDGdnZ63nTtPsVdW5Nc3BmqY8Dw8PCASCCo/Zy8uLD6/61mlU9Vla9nzll7dq1arC9qZEYamB69GjR5VjdZTtD1Be3759cfToUa1l//zzj85vPvpovjmo1WpYWlqib9++OHnyJN59912dxw0MDIS3tzdOnjzJh6OioiJER0fzHzwbN27EZ599xu+fnp6O4cOHY9++fejdu3e1ylddmjejJjgA0Pk8R0ZG4oUXXsCaNWuqvCpKo6q/l+bDvjJ37tzB4MGDMX36dHz++edVnq979+4QCoWIi4tD//79ATwNfsnJyfD399faluM4/kqfn3/+GX5+fujWrRuAp9/mytcOaT5MNSFTQyAQoHnz5gCAX375BS+88ILBNUv3799Hbm4uVq9ezQfyq1evVrmfpgxyubzSbY4ePaq375S+Lwh9+/ZFQUEBrl27hu7duwN4GujVanWlr0fNt11dz1vZ5ywtLQ1hYWF8rV/57fv27YuPPvoISqWSDyf//PMP2rZty78+yystLcXt27f5GkJdunbtiszMTOTn51d6HF101cB169YNBw4cQEBAAKysdP9rSUxMxHvvvYcffvgB+/btw/Tp03HixAmtx1u+/9elS5cQFBTEv9a6du3KhxKN1q1bG/TYunfvDoFAgJMnT2Ls2LEAno7ZlJKSUuln3tSpU3X2v9RcXVrWoEGDKvRFa9++PXbv3g2ZTMbXLl26dElrm8jISLi4uKBLly78stDQUOzduxdqtZp/fuLj4+Hj48OHle7du+PkyZMYNWoUgKfvgZMnT+LNN98E8PRvkpmZCSsrKwQEBOh8fLqeO0PODTyt3W7evDnc3d219l++fLnOc+lbZ8hnaWxsLAQCQYUap9jYWIwbN67Sc5pErTbykUrp6rMkFotZTEwM3zfmv//9L4uJiWGPHj2qtXI8fPiQ2dnZsUWLFrF79+6xb7/9lllaWrJjx47x22zatIkNHjyYv79nzx62b98+dvfuXZaYmMj27dvHmjVrxl555RV+G01fmnXr1rF79+6xZcuWMYFAwG7fvs1vs3r1aubs7MwOHTrEbt26xUaOHMkCAwMr7XdiTJ+l8mMKDRw4kL3zzjtay8r2Q1AoFMzPz4+NHz+excfHsyNHjrC2bdtq9Vk6deoUs7OzY0uXLmUZGRn8TdMPqDbcvn2beXh4sClTpmid88mTJ/w20dHRrG3btlr9b9555x3m6+vLIiIi2P3799mrr77KPD09WV5eHr/N2rVr2a1bt1hsbCz79NNPmUAg0Oo3d/LkScZxHFuxYgWLj49n165dY8OHD2f+/v58/7a4uDi2e/duFh8fz6Kjo9nEiROZq6ur3isIy3vy5AmztrZmixYtYomJifxYOWX/9n/99Rf78ccf2e3bt1lSUhI7cuQIa9++fbWvuquuZ599lnXt2pVFR0ezc+fOsaCgIDZ58mR+fWpqKmvbti0/1o1CoWCtW7dmAwYMYNHR0ezBgwds3bp1jOM4fsya1NRU1rp1azZkyBCWmpqq9XfVKCgoYF5eXmzq1KksNjaW/fLLL8zOzk6r38mKFStYREQES0xMZNeuXWOTJk1iNjY27M6dO5U+HpVKxTw8PNiff/6ptTwjI4PFxMSwH374gQFgUVFRLCYmRu9rOy0tjXl4eLBx48axy5cvswcPHrBjx46xGTNmMJVKxVQqFevTpw8bO3YsY4yx9PR05ubmxtauXcsfY+DAgcze3p6999577P79+2zv3r1MJBKxLVu28NscPnyYeXp6MpVKpfdvVdljmz9/PmvRogU7deoUu3r1Kuvbty/r27ev1jZt27ZlBw8erPTY5fss6SMWi5m7uzubMmUKu3PnDvvrr79Y69attV7Pb7zxBnvrrbe09ktJSWEODg7szTffZHFxcezIkSPM09NTa3ypX375hQmFQrZjxw529+5dNnfuXObs7MxfXahWq1n//v1Zly5dWEREBEtKSmLnz59nH374odZVneUZcm7Gnn62zpo1y6DnQR9DP0uXLVum9b+Isaf/FziOY8nJyUaXQx8KS2aiKyxpOlOWv02fPr1Wy3L69GkWEhLCrK2tWcuWLSsMSrls2TKtsv7yyy+sW7duzN7enolEItahQwe2atWqCiHn119/ZW3atGHW1tYsODi40kEpvby8mFAoZEOGDOE7gupSWVgCoHcgzZqEJcYYO3fuHOvUqROzsbFhAwYMYPv379cKS+WHgNDcBg4cWGlZjLVs2TKd5yz799G8jsoGFIVCwRYuXMg8PT2Zg4MDGzp0aIXOk2FhYczJyYnZ2Niw3r17s6NHj1Y4/88//8y6du3KRCIR8/DwYC+99BK7d+8ev/7u3bssJCSE2draMkdHRzZy5Eh2//59rWPoKl95e/fuZQEBAUwoFLK+ffuyw4cPa/3tT506xfr27cuXNygoiC1evLjWB0/Mzc1lkydPZvb29szR0ZHNnDlTq9O55jVadtC9+Ph4NmbMGObp6cns7OxY586dtYYS0DWYpOZWVtlBKX19fdnq1au11r/77rusRYsWzNramnl5ebERI0aw69evV/mYPvjgAzZp0iStZZW9zqoasDY+Pp6NHj2aOTs7M1tbW9auXTv27rvvMrVazVasWMF8fHxYTk4Ov/2BAweYtbU1fyn7wIED2euvv87mz5/PHB0dmYuLC/vwww+1OnwrlUrWrFkzrS901XlsmkEpXVxcmJ2dHRs9erRWMGWs6s+U6oQlxhi7ePEi69KlC7O2tmYhISHswIEDWq9nPz8/9s8//1TY78KFC6x3795MKBSyli1bss8//7xCSNy0aRP/d+/Vqxe7dOmS1vqioiL21ltvsWbNmjGBQMD8/PzYK6+8wlJSUvSWuapzl5SUMCcnpyqHXDCEoZ+lbdu2rTC0zKpVq6o91E1NUFgiDdrDhw+ZlZVVpSN/k/rnxx9/ZK1bt65yDBdSNzIyMpirq2utfzM3hK4vMbp88803Fa6806U+PbbKXLt2jTk5OTW498N3333Hhg0bVmfnO3r0KGvfvr3WrAJyuZy1aNGCnTt3rtbPT1fDkQbt6NGjmDt3LoKCgsxdFGKgo0ePYtWqVRU62BPz8Pb2xv/+978KVxrWZ/PmzcMzzzxT5dxwDeGxqVQqbNq0qcG9HwQCATZt2lRn55NKpdi+fbtWf7iUlBR8+OGHCA0NrfXzc4yVudyHEEIIMZNBgwYhJCQEGzZsMHdRCNFCYYkQQgghRA9qhiOEEEII0YPCEiGEEEKIHhSWCCGEEEL0oLBUQ4wxFBUVgbp8EUIIIY0bhaUaEovFcHJyqvLSVUIIIYQ0bA06LDHGcPDgQYSFhcHHxwd2dnZo27Yt5s2bh4cPH1bYvqioCAsWLIC/vz+EQiECAgKwaNEiSCQSM5SeEEIIIQ1Bgx46YOHChfjvf/8LHx8fjBw5Eo6Ojrh58yaOHz8Oe3t7XLhwAR07dgTwdECr/v3748aNGwgPD0fXrl0RExOD48ePo2fPnoiKiuInOTREUVERnJycUFhYWOXEp4QQQghpuHRPDd0AZGZmYsOGDfD398fNmzfh5OTEr1u/fj0WLFiA//73v/jxxx8BAGvXrsWNGzewePFirF69mt92yZIlWLNmDdavX4+lS5fW+eMghBBCSP3WYJvhkpOToVarERoaqhWUAOCFF14AAGRnZwN42ly3bds22Nvb4+OPP9ba9uOPP4a9vT22bdtWNwUnhBBCSIPSYMNSUFAQrK2tcf78eRQVFWmtO3LkCABgyJAhAICEhASkp6cjNDQUIpFIa1uRSITQ0FA8fPgQjx8/rpvCE0IIIaTBaLDNcG5ubli9ejUWLlyIdu3aafVZOnXqFF5//XW8+eabAJ6GJQCVTrYaFBSEiIgIJCQkwM/Pr84eAyGEEELqvwYblgDgvffeg6+vL2bPno0tW7bwy/v374+XX36Zn524sLAQACo012loOmhrttNFLpdDLpfz98vXZhFCCCGkcWqwzXAA8Omnn2LKlCn48MMP8fjxY4jFYpw9exYymQyDBg3C4cOHTXauL774Ak5OTvyNaqAIIYSQpqHBhqUTJ05g2bJlePPNN7FkyRI0b94c9vb26N+/P/78808IBAIsXLgQwP/XKFVWc6SpJaqs5gkAli5disLCQv5G/ZsIIYSQpqHBNsP9/fffAICwsLAK67y9vdGuXTvExMRAIpHwfZU0fZfKq6pPEwAIhUIIhUJji00IIYSQBqbBhiWFQgHg/4cHKC87OxsWFhYQCAQICgpCs2bNcP78eUilUq0r4qRSKc6fP4/AwEBqWiOEEEJMSK1W4+HDh1AqleYuSqUsLS3Rpk0bvds02LAUGhqKb775Bv/9738xduxYrSa0LVu2IDU1FaGhoXxt0OzZs/Hpp59i5cqVWoNSrly5EhKJBB9++GGdPwZCCCGkMROLxUhKSkJpaSk4jjN3cSpQq9WwtrauMiw12OlOSktLMXjwYERFRcHT0xMvvfQSnJ2dcf36dZw6dQq2traIjIxEr169ADytQQoNDcXNmzcRHh6Obt264fr16/x0J2fOnIGtra3B56fpTgghhBD9UlNTcevWLXh5eZm7KDopFAoUFxfz4zJWpsGGJeDp5fzr16/Hr7/+iri4OCgUCnh5eSEsLAwffvgh2rdvr7V9YWEhli9fjgMHDiAzMxM+Pj4YP348li1bBgcHh2qdm8ISIYQQot/t27eRnp4Od3d3cxdFpyYRlsyJwhIhhBBSOZVKhYsXL0KtVsPe3t7cxdHJ0LDUYIcOIIQQQkj9JZFIIJPJYGNjY+6iGI3CEiGEEEJMTiwWQ6lU8rNpNGQUlgghhBBicvn5+Y0iKAEUlgghhBBiYiqVCgUFBY1mMGcKS4QQQggxKbFY3Gj6KwEUlgghhBBiYmKxGCqViprhCCGEEEJ0aUz9lQAKS4QQQggxIaVSiYKCgkbTBAdQWCKEEEKICYnFYsjlcgpLhBBCCCG6iMVilJaWwtLS0txFMRmTNSg+efIEt27dQnJyMvLy8lBSUgJbW1u4uroiICAAXbp0gYeHh6lORwghhJB6KC8vr1H1VwKMDEsnTpzAwYMHcezYMTx69KjK7QMCAjB8+HCMHj0aQ4cOBcdxxpyeEEIIIfWIQqFAUVFRo2qCA2owkW5+fj62bNmCzZs3Iy0tjV9uyGHKhqNmzZrh9ddfx/z58+Hi4lKdItQLNJEuIYQQoi03NxdXr16Fi4tLg2iGM3QiXYPDklgsxrp167BhwwZIJBKtcGRnZ4eePXuiffv2cHV1hZubGxwdHVFYWIjc3Fzk5eXh7t27uHbtGoqLi///5BwHkUiE9957D++//z4cHBxq+HDrHoUlQgghRFtycjLu3bsHT09PcxfFICYNS7t27cLixYvx5MkTMMbAcRz69euHsWPHYtCgQejcuTMsLKruK15aWopbt24hKioKBw4cwPnz5/njeXp6Yu3atZg6darhj9KMKCwRQggh2q5fv468vLwG02Jk0rCkCUKOjo6YO3cu5s2bh1atWhldyIcPH2LLli34/vvvUVRUBAsLC6hUKqOPWxcoLBFCCCH/Ty6X4+LFi7C0tISdnZ25i2MQQ8OSQUMH2NvbY8WKFXj06BHWrl1rkqAEAC1btsTatWuRkpKC5cuXN5gnlxBCCCHaGuP4ShoGXQ334MGDWm1/dHR0xCeffILXXnut1s5BCCGEkNojFouhVqsN6pbT0Bj0iOqqoxaNw0QIIYQ0TLm5uRAIBOYuRq1ofPGPEEIIIXVKJpNBIpE0yiY4gMISIYQQQowkFoshk8kgFArNXZRaUavjkZ8/fx5RUVFITU0FAPj6+uKZZ55B//79a/O0hBBCCKlDRUVFYIw1yv5KQC2Fpbi4OEydOhXXrl3Tub5bt27YvXs32rVrVxunJ4QQQkgdys3NhbW1tbmLUWtMHgFTU1MxcOBAXLt2DYwxeHt786N729ragjGGa9euYdCgQXyNEyGEEEIappKSEkil0kbbBAfUQlj69NNP8eTJE3Tq1Annzp1DWloaLl26hNjYWGRnZ+Orr76CQCBAdnY2Vq5caerTE0IIIaQOacZXorBUDX///TcsLS1x6NAh9OvXT2udra0t3nvvPbz77rtgjOGvv/4y9ekJIYQQUocae38loBphadKkScjOzq5yuydPnsDV1RX+/v6VbtOjRw8AQE5OjqGnJ4QQQkg9wxhr9P2VgGqEpV9//RXt27fHjz/+qHc7T09P5ObmIiUlpdJtrl69CoAGoSSEEEIaMk1/pcY6vpKGwWFp2LBhyMvLw5w5czB48GAkJCTo3O65556DWq3G6NGjcfnyZa11MpkMGzduxIYNG8BxHJ577jnjSk8IIYQQsxGLxVAoFI26vxIAcIwxZujGe/bswcKFC5GdnQ0bGxt89NFHWLx4Mays/n8EgrS0NHTr1o1vYmvWrBmaN28OqVSKpKQkFBcXgzEGNzc3XL9+HX5+fqZ/VHWgqKgITk5OKCwshKOjo7mLQwghhNS5hISEWp8/tjYpFAoUFxdjyJAhererVm+sKVOm4N69e5g2bRpkMhk++eQTdOvWDZcuXeK38fX1RWRkJLp06QLGGNLS0hAdHY3Y2FhIpVIwxtC5c2ecOnWqwQYlQgghpKnT9Fdq7LVKQDVrlso6deoU5s2bh8TERFhYWGD+/Pn44osv4ODgwG8TFRWFqKgopKWlAXgapAYMGICBAweapvRmRDVLhBBCmjKpVIro6GjY2Ng02MBkaM1SjcMSAMjlcixfvhxfffUVSktL4evri40bN2LUqFE1PWSDQWGJEEJIU5aZmYmYmBh4eHiA4zhzF6dGaqUZrjyhUIgvvvgC165dQ8+ePZGamoqxY8di7NixSE9PN+bQhBBCCKnHCgsLAaDBBqXqMMkIUp06dcLFixfx9ddfw97eHr///js6dOiALVu2mOLwhBBCCKlHGGPIy8trsM1v1WWy4TY5jsNbb72Fu3fv4sUXX0RRURHeeOMN9O/fH/fu3TPVaQghhBBiZlKpFMXFxY1+fCWNGoelBw8e4NKlS7h9+zZkMhm/3NfXF4cOHcKvv/4KLy8vXLhwAV27dsWyZcugUChMUmhCCCGEmI9mfKXGPnK3RrXCkkqlwqeffgovLy+0bdsWoaGhCAkJgbOzMyZMmIDk5GR+23HjxuH+/fuYO3culEolPvvsM3Tp0gVRUVGmfgyEEEIIqUOFhYXgOK5J9FcCqhGWlEolnnvuOaxYsQLZ2dlgjPE3hUKBAwcOoEePHrh//z6/j6OjI7Zs2YKoqCi0a9cOcXFxCAsLw9y5c/mOYYQQQghpONRqdZPqrwRUIyxt3LgRJ0+eBGMMQ4YMwZ9//om7d+8iKioKCxcuhEAgQF5eHmbPnl1h39DQUNy4cQPLli2DtbU1/ve//6F9+/b49ddfTfpgCCGEEFK7pFIpSkpKmkx/JaAa4yx17doVt27dwuDBg3H8+PEKVW/ffvst3nrrLXAch8TERAQEBOg8zv379zFv3jycPXsWFhYWUKlURj8Ic6BxlgghhDRF6enpuHnzZoMeX0nD5OMsxcfHAwAmT56s88mZPHky/3tlk+wCQLt27XDmzBls3brVZCHj999/x7Bhw+Dm5gYbGxsEBgZi8uTJePz4sdZ2RUVFWLBgAfz9/SEUChEQEIBFixZBIpGYpByEEEJIY9fU+isBgFXVm/y74b+T5VYWLKRSaYVt9ZkzZw5Gjhxp6Ol1Yoxh/vz5+P7779GqVStMmjQJDg4OSE9Px5kzZ/Do0SN+/jmpVIqBAwfixo0bCA8Px+TJkxETE4N169bhzJkziIqKalJVioQQQkh1NcX+SkA1wlJISAjOnj2LzZs3Y9asWbC3t9dav2bNGgBPx1vq3LmzQcc0dpbijRs34vvvv8frr7+OjRs3wtLSUmt92Sa+tWvX4saNG1i8eDFWr17NL1+yZAnWrFmD9evXY+nSpUaVhxBCCGnMJBIJSkpKIBKJzF2UOmVwn6Vff/0VkyZNAsdx8PLywrRp0xAYGIi8vDwcOXIEly5dAgBMmDABP//8c60WGgBKSkrg6+sLFxcXxMXF6a3NYoyhefPmKCoqQmZmptYfWSqVwtvbG56enkhMTDT4/NRniRBCSFOTlpaGW7duGV3ZUV8Y2mfJ4JqlCRMm4MqVK/jqq6+QmZmJL7/8kl+nyVtdu3bF5s2ba1jk6jl+/Djy8/Mxc+ZMlJaW4vDhw4iPj4ezszOGDh2K1q1b89smJCQgPT0dw4cPr5CGRSIRQkNDERERgcePH/PNdoQQQgjRVlBQ0KT6KmkYHJYA4Msvv0R4eDg2b96MS5cuIScnByKRCO3bt8ekSZMwf/78OhvN89q1awAAS0tLdO7cme+ADgAWFhZ47733sG7dOgD/3+E8KChI57GCgoIQERGBhIQECkuEEEKIDqWlpcjPz2+S/XurFZYAYNiwYRg2bFhtlKVanjx5AgD473//i27duuHy5cto3749YmJiMHfuXHz11Vdo1aoVXnvtNX4ATCcnJ53H0jSj6RsoUy6XQy6X8/eLiopM9VAIIYSQek/TX8nBwcHcRalzJptIt66p1WoAgLW1Nf744w/07NkT9vb2GDBgAPbv3w8LCwt89dVXJjvfF198AScnJ/5GNVCEEEKaErFYDJVKBYFAYO6i1LkGG5Y0tUQ9evRAs2bNtNZ17NgRLVu2RGJiIgoKCvhtK6s50tQSVVbzBABLly5FYWEhfys/hhMhhBDSmBUUFMDCosHGBqNUuxmuvmjbti0AwNnZWed6zfKSkhK+r1Jlg2VW1acJAIRCYZMbV4IQQggBmnZ/JcDAmqXx48fj4cOHtVqQ27dvY9SoUQZvHxYWBgC4d+9ehXVKpRIPHjyASCSCh4cHgoKC0KxZM5w/f15r8Ezg6dAB58+fR2BgIDWtEUIIITqIxWLIZDIKS/ocOHAA7du3x8yZM3WGE2PExsZi4sSJ6Nq1K/7880+D92vVqhXCw8Px4MEDbNu2TWvd6tWrUVBQgNGjR8PKygocx2H27NmQSCRYuXKl1rYrV66ERCLBnDlzTPJ4CCGEkMZG01/JkBk6GiODBqUcOnQoTp06xY+tMGDAAMyYMQMjR46Ei4tLtU+ak5ODvXv3YteuXYiJiQHwdKymIUOG4J9//jH4OImJiejXrx+ePHmC559/Hu3atUNMTAxOnToFf39/XLp0Cd7e3gCe1iCFhobi5s2bCA8PR7du3XD9+nUcP34cPXv2xJkzZ2Bra2vwuWlQSkIIIU3FrVu3kJGRAXd3d3MXxaQMHZSyWiN4L126FElJSXxosrS0RHBwMPr06YPevXujXbt2cHV1hZubGxwcHFBUVIS8vDzk5eXh3r17iI6ORnR0NO7cuYPS0lJ+MMtWrVph1apVGD9+fLUf6OPHj/HJJ5/g2LFjyM3Nhbe3N1566SV88sknFUYYLSwsxPLly3HgwAFkZmbCx8cH48ePx7Jly6p9KSSFJUIIIU2BSqXChQsXwBirMNVZQ2fysAQ8fcJ+/PFHfPXVV3yn6JqM5Kk5Zdu2bfH+++9j+vTpDa5qj8ISIYSQpiA/Px9XrlyBk5NTg/tfXRVDw1K1rgG0srLC3Llzcf/+fRw7dgyTJk2Cvb09GGMG3xwdHTFlyhQcP34c9+7dw6uvvtronnxCCCGksRCLxSgtLW3S/6tr9Mg5jkN4eDjCw8OhVCpx4cIFREdH4/bt20hOTkZeXh7kcjmEQiHc3NwQGBiITp06oU+fPujbty8sLS1N/TgIIYQQUgvy8/Ob/P9to2OiQCDAwIEDMXDgQFOUhxBCCCH1hFKpREFBQZMdMkCjaQ7FSQghhJAqicViyOVyCkvmLgAhhBBC6idNf6Wm3gxHYYkQQgghOuXl5TXpjt0aFJYIIYQQUoFCoUBRURHNiwoKS4QQQgjRoanPB1cWhSVCCCGEVCAWi6FWq5t8fyWAwhIhhBBCdKD+Sv+PwhIhhBBCtMjlchQVFVET3L8oLBFCCCFEi6a/EnXuforCEiGEEEK0iMViMMaov9K/KCwRQgghREtubi4EAoG5i1FvUFgihBBCCE8mk0EikVB/pTJqLSwVFBTg8ePHKCgoqK1TEEIIIcTEqL9SRSYLSxKJBN988w0GDRoEBwcHuLm5ISAgAG5ubnBwcEBYWBi+++47SCQSU52SEEIIISZWVFQExhgsLKjxScMkz8Sff/6JoKAgvPPOOzh79iykUikYY/xNKpUiKioKb731FoKCgnDkyBFTnJYQQgghJpaXl0f9lcoxOizt2rULY8aMwZMnT/hw5ODggJCQEISGhiIkJASOjo78uqysLIwaNQq7d+82RfkJIYQQYiIlJSXUX0kHo8LSgwcPMH/+fJSWloIxhtGjR+PixYsoLCzE9evXcfbsWVy/fh0FBQW4dOkSxo4dCwBQq9WYN28eEhMTTfIgCCGEEGI8sVgMuVxO/ZXKMSosrV+/HjKZDBzHYe3atThw4AB69+6tc9tevXph//79WLduHYCno4OuX7/emNMTQgghxISov5JuRj0bx48fB8dxeOaZZ/D+++8btM+CBQswcOBAMMYQERFhzOkJIYQQYiKMMeTm5sLa2trcRal3jApLaWlpAIBx48ZVaz/N9pr9CSGEEGJeJSUlkEql1F9JB6PCkr29PQDAy8urWvt5enpq7U8IIYQQ8xKLxVAoFNRfSQejwlLr1q0BACkpKdXa7/HjxwCAoKAgY05PCCGEEBPR9FfiOM7cRal3jApLEydOBGMMe/fuBWPMoH0YY/jpp5/AcRwmTZpkzOkJIYQQYgKa/kpUq6SbUWFp/vz56Ny5M2JiYvDee+8ZtM+CBQsQExODLl26YN68ecacnhBCCCEmUFxcjOLiYgpLlTAqLAmFQvz111/o3bs3Nm3ahD59+uC3335Dfn6+1nYFBQXYv38/+vbti40bN6Jv377466+/qMc9IYQQUg/Q+Er6WRmyUcuWLfWuVyqVYIzhypUrmDhxIgDAxcUFIpEIUqmUD0+attCUlBSEhoaC4zgamPJfarUaEokEjo6O5i4KIYSQJqaoqAgAqL9SJQwKS8nJyeA4rtJ+SRzH8U+wZpu8vDzk5eVV2A4A0tPTqRNZOUVFRbh79y5atGiB5s2bm7s4hBBCmgjqr1Q1g8JSixYtKNjUMsYYxGIx7t27B7VaDT8/P3rOCSGE1DqpVIri4mLY2tqauyj1lsE1S6RuWFlZ4f79+ygtLUVAQAAFJkIIIbVKM76Sk5OTuYtSb9HkL/WMvb09hEIh4uPjkZSUZPCQDIQQQkhNFBUVaXWnIRUZVLNE6pa9vT04jkN8fDzUajVatWpFL2JCCCEmp1arqb+SASgs1VMikQgcx+HBgwdQq9Vo3bo1zQJNCCHEpKRSKUpKSmBnZ2fuotRrJg1LOTk5+Ouvv3Dp0iVkZGRALBbDwcEBzZo1Q+/evfH888/D3d3dlKds1Ozs7MBxHB4+fAjGGIKCgigwEUIIMRnqr2QYk4Sl4uJifPDBB/jxxx8hl8t1brN161YIhULMnj0ba9asoV73BrK1teUDk1qtRps2bWBpaWnuYhFCCGkECgsLqb+SAYwOSzk5ORg4cCDu379fZWdkmUyGb7/9FqdOncKZM2fg5uZm7OmbBBsbG3Ach+TkZDDG0LZtWwpMhBBCjKJWq5GXl0f9lQxgdFgaO3Ys7t27B+BpLcjkyZMxfPhwtGnTBvb29pBIJIiPj0dERAR++eUXFBcX4+7duxg7diwiIyONPX2TIRQK4eTkhEePHkGtVqNdu3awsqIuZ4QQQmpGIpGgpKQEIpHI3EWp94z6b/v777/j7Nmz4DgOISEhOHjwIPz9/Sts16VLF4wfPx4ff/wxxo0bh2vXruHs2bM4dOgQRo4caUwRmhShUAhnZ2ekpKRArVajffv2EAgE5i4WIYSQBkgsFkOpVNI8rQYwqrfwL7/8AgDw8PDAP//8ozMoleXv749jx47B09MTALB3715jTt8kWVtbw9XVFampqbh79y4UCoW5i0QIIaQBKigooL5KBjIqLEVHR4PjOMyaNQuurq4G7ePm5oZXX30VjDFER0cbc/oK1qxZw3dUu3TpUoX1RUVFWLBgAfz9/SEUChEQEIBFixZBIpGYtBy1TSAQwNXVFWlpaRSYCCGEVFtpaSny8/NhY2Nj7qI0CEY1wz158gQA0Llz52rt16lTJ639TSE2NhbLli2DSCSCVCqtsF4qlWLgwIG4ceMGwsPDMXnyZMTExGDdunU4c+YMoqKiGtSLRiAQwM3NDenp6VCr1QgODtbbSU8sFtcoFNrb28PBwcGYohJCCKlnNP2V6PPdMEaFJWtra8jl8mrXbGi2N1V/G6VSienTpyMkJARBQUHYs2dPhW3Wrl2LGzduYPHixVi9ejW/fMmSJVizZg3Wr1+PpUuXmqQ8dcXKygpubm7IzMwEYwzBwcGVBr5r167hzJkz1T7HwIEDMWjQICNLSgghpD4Ri8VQqVTU79VARoWlZs2aIS4uDmfPnsW0adMM3i8qKgoA4Ovra8zpeZ9//jnu3LmD69evY+3atRXWM8awbds22Nvb4+OPP9Za9/HHH+Pbb7/Ftm3bGlxYAp4GJnd3d2RlZfGBSdcYVt27d0fbtm0rLM/JycHBgwcxZswYnQOG2tvb10q5CSGEmE9BQQENclwNRj1TgwYNAmMMu3fvxs2bNw3a58aNG9izZw84jjNJjcX169fx+eefY9myZejQoYPObRISEpCeno7Q0NAKl0iKRCKEhobi4cOHePz4sdHlMQdLS0u4u7sjOzsbt2/fRnFxcYVtHBwc4OPjU+GmCUju7u4611MVLSGENC7UX6n6jApLs2fPBsdxUCqVGDp0KA4ePKh3+4MHD2LYsGFQKBTgOA5z5swx5vSQy+WYNm0aQkJC8MEHH1S6XUJCAgAgKChI53rNcs12DZGlpSXc3NyQm5uL27dvN7hO64QQQuqGWCyGTCajwSirwahmuG7dumH+/PnYvHkz8vLyMH78eLRs2RLDhg1DmzZt+M7WCQkJ+Oeff5CYmAjGGDiOw/z589G1a1ejCv/JJ58gISEB165d0zuidWFhIQBUOveNo6Oj1na6yOVyralcioqKalLkWqWpYcrJyUFsbCyCg4OpZogQQogW6q9UfUYPAb1p0yYUFRXhp59+AgA8fPgQW7du1bmtZjqUV155BRs3bjTqvBcvXsS6deuwfPlydOzY0ahjGeKLL77AihUrav08xrKwsIC7uztfw9SxY0c+DBJCCCHUX6n6jH62LCwssHv3buzbtw/dunUDY6zSW/fu3bF//37s2rXLqD+USqXC9OnT0blzZyxZsqTK7TU1SpXVHGlqifTNurx06VIUFhbyt/rcv8nCwgJubm4oKirC7du39daYEUIIaTpUKhX1V6oBk00uNn78eIwfPx4pKSmIjo5GRkYGxGIx37G4d+/eaNGihUnOJZFI+P5FlQ3T3rdvXwBPp2TRdPyurE9SVX2agKdTjTSk9l1NDVNOTg5u376N4OBguLi4mLtYhBBCzEjTX0lf5QCpyKiwtGvXLgCAt7c3wsPDAQAtWrQwWSiqjFAoxKuvvqpzXVRUFBISEvDSSy/Bw8MDAQEBCAoKQrNmzXD+/HlIpVKtK+KkUinOnz+PwMBA+Pn51Wq56xrHcRWa5AwdaZ0QQkjjIxaLUVpaShOxV5NRz9aMGTPAcRw++ugjPizVBVtbW2zbtq3SMiUkJGDp0qXo06cPv3z27Nn49NNPsXLlSq1BKVeuXAmJRIIPP/yw1sttDhzHaV0lFxwcrHM8JUIIIY1ffn6+3guiiG5GhSV7e3tIpdJKxzeqTz744AMcOnQIa9asQUxMDLp164br16/j+PHj6NmzJ959911zF7HWaAJTfn4+f5Wch4eHuYtFCCGkDimVShQUFFB/pRowqoO3j48PgKd/gPpOJBLhzJkzePfdd3Hv3j189dVXuH//PhYuXIiTJ0/qHPW6MeE4Dq6urlCpVIiNjUVWVpa5i0QIIaQOicViyOVyCks1YFRYCgsLAwBcuXLFJIUxhR07doAxptUEp+Hk5IT169cjJSUFCoUCjx49wrp165rUWEQuLi4oLS3FnTt3kJGRYe7iEEIIqSOa/krUDFd9RoWlefPmwcLCAjt37kRaWpqpykRqmeaquLt37yI7O9vMpSGEEFIX8vPzqWN3DRkVlrp27YrPP/8cYrEYw4YNw61bt0xVLlLLnJycYGFhgYcPH5q7KIQQQmqZQqFAYWFhgxoCpz4xeugAb29vPPfcc/j777/RrVs39O/fHwMGDEDz5s0N6gc0bdo0Y4pAjODo6AixWAwAyMjIgLe3NziOM3OpCCGEmJpmfCUab69mTDJ0APC0A7FarcbZs2dx9uxZg/bnOI7CkpnZ29sDAJKTk+Hq6gp/f38KTIQQ0siIxWKo1Wrqr1RDRjdeauZ7q+w+aRisra0RFxcHtVqNwMBACkyEENKI5OXlUX8lIxj1zG3fvt1U5SBmZmdnBysrKyQkJIAxhpYtW1JgIoSQRkAul6OoqIiGDDCCUWFp+vTppioHqQdEIhE4jkNCQgLUajVatWpFM1MTQkgDp+mvRNNd1RzVyREtdnZ24DgOiYmJUKvVCAoKosBECCENmFgsBmOM+isZocZhKS0tDbdu3UJhYSGcnJzQqVMnNG/e3JRlI2Zia2sLjuPw8OFDMMYQFBREbzJCCGmgcnNzIRAIzF2MBq3aYeny5ct47733cOnSpQrr+vTpg/Xr16NXr14mKRwxH03bdlJSEtRqNdq2bUuBiRBCGhiZTAaJREL9lYxUrfaV48ePY9CgQbh06RIYYxVuFy9exMCBAxEREVFb5SV1yMbGBk5OTnj06BHu3bsHlUpl7iIRQgipBk1/JRqM0jgGhyWxWIzp06dDJpPxwwO0bt0a/fr1Q+vWrfnt5HI5pk+fjqKiItOXltQ5oVAIZ2dnpKSk4M6dO5BIJOYuEiGEEAMVFRWBMUZ9T41k8LO3e/duZGVlgeM49OjRA3fu3EF8fDzOnTuH+Ph43L17l29+y87Oxu7du2ut0KRuWVtbw9XVFWlpabh69SoSExOhUCjMXSxCCCFVyMvLo/5KJmBwWPr7778BAO7u7oiIiED79u211rdr1w5///03PD09tbYnjYNAIICnpyc4jkNcXByuXr2K9PR0qNVqcxeNEEKIDiUlJdRfyUQMDku3bt3ipyepbG4ZFxcXTJs2DYwx3L5922SFJPUDx3Gwt7eHh4cHiouLcevWLcTExCAvL8/cRSOEEFKOWCyGXC6n/komYPDVcJp/iCEhIXq369KlC4CnlyqSxsnCwgIuLi5QKpXIzs5Gfn4+mjVrBn9/f4hEInMXjxBCCKi/kikZ/AxKpVIAgIODg97tNBOzlpSUGFGspiU7OxvR0dFm6Qck3L0bzy9fDmEN+pgJBAJ4eHjA1tYWycnJuHr1KpKSkqBUKmuhpIQQQgzFGENubi6sra3NXZRGgUbwrgeOHDmCWbNmQSAQIDg4GF27dkVISAg6d+5cZTg1yrZtsNmxAwCe/rSxAWbPrvZhbGxsIBQKIZFIcP/+fWRmZiIwMBCenp70jYYQQsygpKQEUqmU+iuZCIWleuDcuXMAAKVSiRs3buDGjRsAnvYRat26NUJCQvibl5eXaU66bRuwZYv2Ms39GgQmjuPg4OAAOzs7FBUV4ebNm/D09ERAQEClfdwIIYTUDrFYDIVCAUdHR3MXpVGodliimehNb8SIESgpKUFkZCQyMjL45YwxJCQkICEhAfv37wcA+Pj4aIWnwMDA6tfe6ApKGkYEJgCwtLTk+zNlZmYiLy8Pvr6+8Pf3h62tbY2OSQghpHo0/ZXof7ZpcEwzwmQVLCwsDH7SNYesanuO4xrsqNBFRUVwcnJCYWGhSZJ7fn4+Ll++jNLSUty+fRs3btxATEwMEhIS9F6e7+TkhM6dO/PhqX379vrbqPUFpbLmz69xYCqrpKQERUVFsLe3h7+/P3x9fWFlRRWahBBSWxhjiI6ORnFxMZycnMxdnHpNoVCguLgYQ4YM0btdjcKSvl3KBqSqDs1xHEpLSw05fb1TW2HJ1dVVq6ZIIpEgNjaWD0+xsbGQy+WVHsfa2hrBwcF8eNLq92RoUNIwUWBijPFD7ru6uiIgIIAfs4kQQohpSaVSREdHQygUUp+lKhgalqr1Fd+QXGVg9iIGsre3R58+fdCnTx8AT/s1xcXF8eHpxo0bKCws5LdXKBSIiYlBTEwMgDL9nqytEXLnDkIAGNzrycgmOQ2O4+Do6AiRSITCwkLcuHED3t7eCAgIoG89hBBiYprxlai/kukYHJZopOb6QSAQoGPHjujYsSOmTJkCxhgePXqkFZ7S0tL47fl+TwD2/7vMB0BImVsg9IwhYaLABDztz+Tq6gqFQoH09HTk5uaiefPmaNGiBX37IYQQE9HMzUq196ZDnUcaOI7jEBAQgICAAIwaNQrA03Gbbt68+TQ8nTyJhJwclI26Gf/eNBPSOAHojP8PT+0BaPV6MmFgAp42FXp6eqK4uBgPHjxAVlYWAgIC4OPjQ/2ZCCHECJrxlWjUbtMyuM8S0abps3Texwf2JhhLSK1WQ6FUPu0bZoLyAQCkUkAqhQRALIAYADf+/b3yXk+AEEAwgC54Gp46A3AAAJHo6c2EGACmVvOjzFpZWRk1NpPA2xvtr141XQEJIaQBkUgkiI6Ohq2tLQUmA9RKnyVSkTIjA6Yar9rSRMcpzx5An39vAKAEEIf/D083ABSW2V4O4Pq/NwDgAAQB6CeVYpRUiuYmLBv3702j9N8bIYSQ6tOMr0T9QU2LwpKRBD4+ENTzmqXyBAA6/nubiqe1O4+gHZ7SymzPAMT/e9sBoLdAgDG2thgoFMLKxG3ijDGo1WpwHAdLS0tYWllV6/kQeHubtDyEENKQFBUVgeM46q9kYhSWjNTx/n2TDx3AmXKKEAOGC+AABPx7G/3vsmz8f3C6ASCB46D+t8U2WqlEtFIJNzc3jBw5EqNHj4aPj49JisvhaQ2bVCqFRCKBo6MjAgMD4e3tDUvL2qp7I4SQhk+tVlN/pVpCfZZqqK7GWTKJ6o6vVN78+cgbMwaHDx/G77//rnW1HfC0k3nfvn0xZswY9O/f32SdtNVqNYqKiqBUKuHu7o6AgAC4ubnRNyZCCNFBLBbj8uXLsLOzowl0DWTyQSmJtgYVloCaB6ZyA1Oq1WpcvnwZBw4cQFRUVIVBRT09PTFy5EiMGjXKZPPYqVQqFBQUwMLCAj4+PggICIC9vb1Jjk0IIY1Feno6bt68CQ8PD/pSaSAKS7WswYUlwOQjeOfk5ODQoUP4448/tOa0A56O+B4aGoqxY8eib9++JmlCk8lkKCwshJ2dHfz8/ODn50ffnggh5F/37t3Do0eP4OHhYe6iNBgUlmpZgwxLQK3MDVdaWoqLFy/i4MGDOHfuXIUBTL29vTFq1CiMHDnS6DcxYwxSqRRSqRTOzs4ICAiAt7d37T5nhBBSz6nValy8eBEKhYJG7q4GCku1rMGGJaDqwGTEnHBZWVk4dOgQDh06hKysLK11lpaWeOaZZzBmzBj07t3bqMepVqtRWFgIlUoFDw8PBAYGwtXVtcbHI4SQhqyoqAiXL1+GSCSiGvdqoLBUyxp0WAIqD0wmmjxXpVLh/PnzOHjwIC5cuFBhzkBfX1+MHj0aL774Itzc3Gp8HqVSiYKCAlhZWcHb2xsuLi78PHRU20QIaSrS0tJw69Yt6q9UTRSWalmDD0tAxcBkoqBUXkZGBv744w8cOnQIOTk5WuusrKwwaNAgjBkzBj169KjxY5fJZBCLxWCMwdraGra2tnBzc4OTkxMcHBxgZ2dHHyCEkEbr7t27SElJof5K1URhqZY1irAEQPbNNxDu2AH5jBmwefPNWj2XSqXC2bNnceDAAVy6dKnC+hYtWvC1Tc7OzjU6B2MMSqUSMpkMMpkMACAUCiESibTCE03cSwhpLDT9RlUqFRwcHMxdnAaFwlItayxhqbCwEGfPnsWAAQPqdHj81NRU/PHHHzh8+DDy8vK01gkEAgwePBhjxoxBt27djKoRYoxBLpdDJpNBoVCA4zjY2NjA3t4e7u7ucHBwgKOjIwQCgbEPiRBCzKKoqAjR0dFwcHCgz7JqqvO54bKzs3HixAnExsYiPz+f/1avD8dx+N///meqIpAGpHnz5njzzTcxb948nDlzBgcOHMCVK1cAPO2HFBERgYiICAQEBGD06NF44YUXahTmNOFIU5OkVqshl8tRUFCA7OxsWFhYwMbGBs7Oznx/JwcHBxotnBDSYBQVFUGlUlFQqkVG1yxJJBK8//772LFjB5TK6k8pW35Qw4aCapZMLyUlBb///jsOHz6MwsJCrXXW1tYYOnQoxowZgy5dupis/1FpaSnfZFdaWgpLS0vY2trCxcUFLi4ucHBwgL29PXUWJ4TUW7GxsUhLS4O7u7u5i9Lg1EkznFKpxKBBg3Dp0qUKVzsZguM4Ckv/orD0/xQKBU6dOoWDBw/i+vXrFda3atUKo0ePxvPPP2/y9nmVSsWHJ7VaDYFAoNVZ3NHRkTqLE0LqDbFYjJiYGDDGaGaDGqiTZrjNmzfj4sWL4DgO9vb2eOONNzBs2DA0b9681ifyS0tLw/79+3H06FHcv38fmZmZcHV1RWhoKD744AP07t27wj5FRUVYvnw5Dhw4gMzMTPj4+GD8+PFYtmwZvcgMoFar6yTIWVtb49lnn8Wzzz6LpKQkHDx4EH/99ReKiooAAImJiVi3bh02bdqE8PBwjB07FsHBwSYJMFZWVrC3t+dfDwqFAjKZDMnJyWCMQSgUws7ODu7u7nyTna2trdHnJYSQ6hKLxbh9+zaKi4upVqmWGVWz1K9fP1y6dAnOzs64ePEi2rZta8qy6bVkyRKsWbMGrVq1wqBBg+Dh4YGEhAT88ccfYIxh7969mDhxIr+9VCpF//79cePGDYSHh6Nr166IiYnB8ePH0bNnT0RFRVXrCqmmULOkVqshk8lQUlKC0tJScBwHxhgEAgGEQiFsbGzqrKwymQwnT57EgQMHcOvWrQrr27RpgyFDhqBjx47o0KFDrVwRwhjjw5NcLgfHcRAKhXBwcICbmxsfnmhAOEJIbROLxYiNjUVhYSHc3Nyoq0AN1UnN0r1798BxHObPn1+nQQkAevXqhcjISAwcOFBr+dmzZzFkyBC89tprGDVqFF/DtXbtWty4cQOLFy/G6tWr+e01oWv9+vVYunRpnT6G+kgTBmQyGd852svLC25ubrCxsYFEIkFeXh6KioqQl5fHN1XZ2NhAKBTW2hvWxsYGzz//PIYMGYL79+/jyJEj+OeffyCVSgEA8fHxiI+P57f38/NDu3bt+JspApQmHGleU+U7i3McB1tbWzg5OcHV1RUODg5wcHCAlZXJrqMghBBIJBIKSnXMqJolkUgEmUyGn3/+GRMmTDBluYwyfPhwHD9+HFeuXEGPHj3AGEPz5s1RVFSEzMxMiEQiflupVApvb294enoiMTHR4HM0lpql/Px8nD9/Hp06dYKtrS2srKwgEong4eEBZ2dnODo66mxSlcvlEIvFEIvFyM3NhUQigUwm42ueais8xcXFISEhAcDTYHfnzh1cvXoVaWlpevezsrJCu3btEBwcjODgYHTs2BF+fn4m7XtUWlrKD1OgUqlgaWkJGxsbvrO4vb09hEIhrK2t6Wo7QkiNSCQS3L59GwUFBXB3d6egZKQ6qVlq3rw5Hjx4ALlcbsxhTE5z+aTmG31CQgLS09MxfPhwraAEPA18oaGhiIiIwOPHj+Hn51fn5a1rSqUSJSUlkMvlfM2Mq6srWrVqBScnJ4Ou/tLUsLi7uyMwMJAfQVtT4ySRSCCRSPgRtW1sbGBtbW30G9vf3x/e3t78fc0LPCEhAREREVAoFEhMTERiYqLW1ZkqlQqxsbGIjY3llzk6OqJDhw58eOrQoYNRU69YWlrCzs4OdnZ2/DllMhnS09ORmpoKS0tLWFlZwcrKiu/7ZGdnxwcozU8KU4QQXTQ1ShSU6p5RYSk8PBwPHjzA1atXMXXqVFOVySgpKSk4ceIEfHx80KlTJwDgayKCgoJ07hMUFISIiAgkJCQ0yrCkaS4qKSmBSqWClZUV7Ozs0KxZMz5EtG3bFj4+PjU+h2YsIw8PD7Rq1UorPGlqnjQdtDXhSSgUVrtmp+yYSWUFBQUhMzOT73ulUCgQHx+PO3fu8LdHjx5p7VNUVIRLly5pjSbu4+PDh6fg4GC0a9euxh24y3cWLy0thUqlgkqlglQqRWFhodbVoGXDlI2NDR+mygYpzU/6kCSkaZFKpfw4hhSU6p5RYentt9/Gjz/+iJ07d2Lp0qVa3/jNQalUYurUqZDL5VizZg3/7VwzZk9ll8ZrmtHKj+1Tllwu16pB0/zjr680U36UlJTwfW3c3Nzg7u7OT/lhYWGBjIyMWjl/2fDUsmXLCuFJKpVCLBYDgFbNk6maxaytrdGxY0d07NiRXyYWi7XC0507d5Cbm6u1X0ZGBjIyMnDixAkAgIWFBVq1asWHp+DgYAQGBtaoH5KlpSUsLS11NmsyxrTClEQiQUFBgVbHeisrK1haWvId7EUiEWxtbXXWTNEHKSGNh1Qqxe3btykomZFRYSkoKAhbtmzBrFmzMHz4cBw8eBCtWrUyVdmqRa1WY8aMGYiKisKcOXNMXtP1xRdfYMWKFSY9pikxxviO2UqlElZWVrC1tUVgYCBcXFzg5ORktvnQNB2fbW1t4enpiVatWqGkpEQrPBUXF/NhVXOlnSnDEwA4ODigT58+6NOnD4Cnz1lWVhZiY2P58HTv3j2UlJTw+6jVaiQkJCAhIQG///47gKdBUNN8p7l5e3sbVVaO4/haJV10han8/Hyo1Wp+f0NqpihMEdKwUI1S/WBUWNq1axcAYNy4cdi3bx86dOiAF154AX379jX4jzpt2jRjigDg6T+0WbNmYe/evZgyZQq2bNmitV5To1RZzZGmlkjfoIxLly7FggULtPYxd5OdSqVCSUkJ37FaM22Hh4cHX3tUH/u+cBzH/yP38vJC69atUVxcrDM8aWrFbGxsIBAITBqeOI6Dt7c3vL29MXToUABPn9Pk5GStAJWYmKjVXCaTyXD9+nWtATPd3Nwq9H8yRcf/smWtTpjS9B0re/1G2TBla2sLkUjEN4daW1tr9bcihJhfcXExYmNjkZeXR0HJzIwKSzNmzOD/eXEcB6VSiT/++AN//PGHQftzHGd0WFKr1Zg5cyZ27dqFyZMnY8eOHRVeUJq+Spq+S+VV1acJgNYl4+aimRS2pKQESqWSn5rD39+frz1qiAMkchwHkUgEkUgEb29vMMb4Zrqy4UkzEW5thSfgaT+j1q1bo3Xr1hg1ahQAoKSkBHFxcVoBKj09XWu/3NxcnD17FmfPnuWXtWjRQuvquxYtWsDBwaFWRv82JEypVCo+UBUWFiI3N1erZsra2houLi7w9PSEi4sLBSdCzKi4uBi3b9+moFRPGD0ATPmRB4ycaq5aygaliRMnYvfu3TprUoKCgtCsWTOcP38eUqm0wtAB58+fR2BgoNlrinQpLS1FSUkJSkpK+BGknZyc+NojR0fHell7ZAzNiPD29vbw8fGBWq3ma540/+SlUimUSiU/FlRN5iU0lK2tLUJCQhASEsIvy8vLw927d7UCVPl+bCkpKUhJScHff//NLxMKhfD09NS6eXh4wMvLCx4eHvD09ISbm5vJ/6Ycx0EgEFQ60aamGTc7OxuZmZkQCoVwdXWFh4cHBSdC6hjVKNU/RoWl7du3m6oc1aZpetu1axfGjx+PPXv2VPoPhuM4zJ49G59++ilWrlypNSjlypUrIZFI8OGHH9ZV0fUq2/dIoVDwtUctWrTQqj1qSnOTWVhYVAhPmpqnwsJC5OXloaCgAMDTEFNaWsoHA4FAUCth0tXVFf3790f//v0BPP27PX78WKvzeFxcHBQKhdZ+crkcjx8/xuPHjys9tqWlJdzc3HQGqbIBy5R90Mr2K9O8Bp88eYKMjAzY2NhoBaeGWHtJSEOhCUo5OTnw8PCgoFRPGDUopTktX74cK1asgL29Pd555x2dzQ+jRo3iawOkUilCQ0Nx8+ZNhIeHo1u3brh+/To/3cmZM2eq9U+gNgalvHLlCkpLSyEUCmFvb69Ve1Rbo0BnZGTg+++/x9y5c40aOsCc1Go1EhMTsXfvXowYMQJCoRBisRgKhQJKpZLvb2RlZVXrIaospVKJhIQE3Llzh5+/8MmTJ3jy5Ak/vpUxNDWM5WuqygYqR0dHo4K1JjhJpVKo1Wqt4OTq6mq2iwYIaYxKSkpw+/Zt5OTkwN3dvdG1GtRHdTIopTklJycDeDpI1+eff65zm4CAAD4siUQinDlzhp9I9/Tp0/Dx8cHChQuxbNkys39btrW1RUBAAOzt7eHk5EQz21eDpuYJeDpQqo+Pj1b/Ls0QChKJhA9RUqm01kOUQCBAhw4d0KFDhwrrpFIpsrOz+fBU9qZZXr6DdnmFhYUoLCzEgwcPKt2mfLOfrnClr9lPV41TZmYm0tPTYWtrq1XjRMGJkJorKSlBbGwscnNzKSjVQw22ZsncTF2zZC6NoWYJMPxxVBWizFkTVZ5SqUROTg4foLKysrR+apYb21/L0tIS7u7uCAkJweDBg9GvX78qvzwwxlBSUoLi4mKo1WrY2try43i5urqa/WIIQhoSTVDKzs6moFTHzFqzlJWVhYyMDIjFYjg4OKBZs2bw9PSsjVMRA4nFYkgkkgrLc3JytH6WZ29vb/QEtPWJpkN4+VqQ+lATVZ5AIICPj4/e8KdWq1FYWKgzSJUNWfqa/UpLS5GVlYWIiAhERERAKBSib9++GDx4MAYMGKDz7192+Ae1Wq01rYutrS3c3d3h7u4OFxcXCk6E6CGTyXDnzh0KSvWcycJSSkoKvv76axw8eBApKSkV1rdo0QLjxo3D22+/XS+vOmvsrl27hjNnzlS6/uDBgzqXDxw4EIMGDaqlUtUfDSlElWVhYcFP1NuuXbtKt9PV7Fc2XKWkpPCBSi6XIzIyEpGRkbC0tESvXr0QFhaGQYMGwdXVVWcZygankpISpKWl4fHjx7Czs4ObmxvfVGdtbV1rzwUhDY1MJkNsbCyePHlCQameM0kz3Pbt2/H222+juLgYgO7hAzT9b+zs7LBp0ybMmDHD2NOaVUNrhqusZqkqDaVmqa6bE2vSnKeZrsTS0hIWFhb1qk+aSqXC1atXcerUKURGRiIvL6/CNhYWFggJCUFYWBjCwsKqnN5IE5w0w17Y2trCw8MDbm5uFJxIk6epUcrKyqKgZEaGNsMZHZa2b9+OV199lZ+/iuM4tGvXDm3atIG9vT0kEgni4+Nx//59PkRxHIf//e9/DTowNbSw1NjFb9uGosOH4fjSS2gze7bZyqEvRGkClOYGgH/fWFhY8CFKE6jK3q/LYFVaWorbt2/j5MmTOH36NDIzM3Vu16FDBwwePBiDBw9GixYt9B5TE5w0X6g0wcnd3R3Ozs4UnEiToglKT548qZVx1Yjh6iQsZWRkICgoCMXFxeA4DvPmzcOSJUt0fnA+fvwYq1evxtatW6FWqyESiZCQkGD2yXdrisJS/ZHxyy9I37uXv9/s5ZfhM2mSGUtUEWMMCoUCKpUKSqWS/6n5XS6XQyaTQS6XVwhVarWa/yKiCVaVhSpTByvGGO7fv49Tp07h5MmTOpvYAaBVq1YYPHgwwsLCEBQUpLcMmkFGNXPwaeYM1NQ4VTZwJiGNgVwuR2xsLNUo1RN1EpY+/vhjfP755+A4Dj/88ANmzZpV5T47duzArFmzwHEcPvroI3z66ac1Pb1ZUViqH8oHJY36GJgMpVarKw1VSqUSCoWCD1YKhUIrVJWWlmoFK80Eu7pClSZ0GYoxhqSkJJw6dQqnTp1CfHy8zu2aN2+OsLAwDB48GMHBwXrPUT442dnZ8cHJ2dmZghNpVCgo1T91EpZ69eqFa9euITw8XGtKh6qMGDECx44dQ48ePXD58uWant6sKCyZX2VBSaMhByZDMca0glT5cFU2WMnlcj5QaW5lg5VmtHgbGxuDQlRqaioiIyNx6tQp3Lp1S+c2np6eGDRoEAYPHoyQkBC9g6uWndoHeDo2Wtk+TrU1MCshdUEul+POnTvIzMykoFSP1ElYcnd3R35+Pr777jvMmzfP4P22bt2K1157Da6urpVesl7fUVgyr6qCkkZTCEyG0kymW1mNVVFREfLz8yGTyQAANjY2sLOzM+hDPTs7G5GRkTh9+jSuXbvG98kqy9nZGQMHDkRYWBh69eqlt59S2eCkGabAyckJ1tbWsLa25icNruxGU0SQ+qRsUHJzc6PgX4/UyThLYrEYAHReTqyPZvuaXJ1FiKFBCQC/HQWmqifTBZ52PNXMt5eTk4OCggJ+Ch5bW9tKA46HhwfGjx+P8ePHo6CgAFFRUTh9+jQuXbrED5pZUFCAQ4cO4dChQxCJRBgwYADCwsJ0DoJpaWnJzwdYWlqK4uJiZGVl8f23yn7H0zQ1lu0kb2VlxQcroVDIX41IAYvUNYVCgbt371JQauCM+qu5ubkhKysLSUlJ1dpPM1VJdUMWIdUJShoUmAynGWvKy8sLKpUKhYWFKCgoQHZ2NiQSCQoKCmBlZcU31+nqyO3s7IyXXnoJL730EiQSCc6fP4/Tp0/j/PnzfBObVCrFsWPHcOzYMQiFQvTr1w9hYWE6B8G0tLTUO3yFWq3mb5q+W5orEsv34wJQoZO85mdNAlZ9Gv6B1D8KhQJ37txBRkYGBaUGzqhmuPDwcJw4cQLBwcG4efOmQd/MSktL0bVrV9y5cwdDhgzB8ePHa3p6s6JmuLpXk6BUFjXJ1RxjDGKxGIWFhcjOzkZhYSFkMhksLCxgY2MDW1vbKpvrZDIZLl26hNOnTyMqKoqvmS7LysqKHwRz4MCBtfaFqny40vws+3v5j0ZdAUsgEPABy8HBAS4uLnBwcKAQRfgapfT0dApK9Vid9Fn65ptv8Pbbb4PjOMyZMwebN2/W+yHBGMNrr72G77//HhzHYePGjXjjjTdqenqzorBUt4wNShoUmEyjpKQEBQUFyMvLQ25uLl+LowlOVV3FplQqce3aNYMGwRw8eDAGDRpk9mFGKgtVZX9qQpOXlxdcXV1hb29PwakJoqDUcNRJWJLJZGjTpg3S0tIAAJ07d8b777+PYcOGac0Fl52djePHj+Orr77CzZs3ATy9vDg+Pr7BzhulCUvnX34Z9jSgXq0qLS6G+t/mG1OwsLWFpZ2dyY7X5DEGNWN8iGBqNRgADgAcHMDNnas3MJSWluLWrVs4deqU3kEwNZP1urm5wdXVFe7u7vzvmuWa++b6XJHL5SguLoZSqYS1tTUcHR3h5eUFFxcXCk5NhFKpxJ07dygoNRB1NoL3lStXMHjwYH5kXg0HBweIRCJIpVKt6nbGGEQiESIjI9G9e3djTm1WmrAU+eyzsKexYAjRSW1vj5ypU2FhYQFbW1vY2trqba5njOHevXs4ffq03kEwq+Lg4FAhRJUNVu7u7nB1dYWrq2ut/TPTBCeFQgGhUAgnJyd4enpScGrEygYlV1dXGiesAaizsAQAt27dwiuvvII7d+5oH/zf8VvK6tSpE/bs2YNOnToZe1qzopqlukM1Sw2XpaMjXBYvRm5uLvLy8vgO3pqr6/T9M2GM4eHDh/xwBDk5OcjNzUVRUZFJy+js7Ky3pkpzc3JyqvHYOOVrnJycnPgaJ5FIRMGpEVAqlbh79y7S0tIoKDUgdRqWgKcfbH/99RcOHjyI6OhoZGRkQCwWw8HBAT4+PujduzfGjh2LESNGNIoPBuqzVLeoz1LDp1AoUFBQgPz8fOTk5EAqlaK0tBQCgQB2dnawtrY26LNBoVDwfaU0IUwTpMovl0qlJiu/hYUFXFxcdNZWeXp6okePHnBxcdF7DM20N2WDk7OzM1/jRMGpYaKg1HDVeVhqaigs1T26Gq7xKC0tRVFREQoLC/HkyROIxWIoFIpqjyJelZKSkgohquyt7HK5XG7UuSwtLdG9e3cMHToUYWFhBgWnsjVONjY2fFOdq6srRCKRUeUhdUOpVOLevXtITU2loNQAUViqZRSWzKOmgYmCUv3FGINUKkVBQQFyc3MrjCJua2tb651kNWUoG6BycnIq1FRpflepVHqPpwlOQ4YMweDBg6sVnFQqFYRCYYUaJ1L/qFQq3L17l4JSA0ZhqZZRWDKf6gYmCkoNi2YU8fz8fGRnZ6OkpASlpaWwsrLSmhRYM5BkXY+8zRhDUVGRVg1VQkICTpw4wV8ZXJaFhQV69OhBwamRoaDUONRKWHr48CHef/99AEBwcDBWrlxZrUL95z//wd27dwEAGzZsQIsWLaq1f31CYcm8aG64pkGlUvFz1kkkEshkMigUCn4iYJVKBbVazV9MwnEcH6o0055oglVthyrGGOLi4nDixAn8888/tRacXFxc+OBkRxcqmIVKpeKb3pydnfXOc0jqt1oJS5MnT8a+ffsgEolw+fJltG/fvlqFunfvHnr16oXi4mJMnToVO3bsqNb+9QmFJfOrKjBRUGqc1Go1Pwmw5qZQKPifJSUlkMlk/CTBmmClCVXA/88np+tmilBVNjidOHECqampFbapSXCSyWQoLi7m5+uj4FT3VCoV7t+/j5SUFLi4uFBQauBMHpYyMjLg5+cHxhgWL16MVatW1ahg//nPf7Bq1SpYWVkhNTVVa/DKhoTCUv1QWWCioETKhipNmNLcNHPHyeVyrZoqzTxymo9FzbQmxoQqQ4NT2c7hVU3zUj442djYwMXFBR4eHnB1da0wMTExDQpKjY/Jw9KGDRuwYMECCIVC/vLImsjPz4evry/kcjk2bNiAt956q0bHMTcKS/VH+cBEQYlUR2lpaYWaqvKhSlNTVbb5T9Psp5mY19ra2qCxo+oiOLm6usLDwwMuLi4UnEyEglLjZPKwNG7cOBw8eBDDhg1DRESEUYUbMWIEIiIiMGbMGOzfv9+oY5kLhaX6JX7bNhQdPgzHl15Cm9mzzV0c0gjpClWaGiu5XM73q9LMEacZO6oy1QlOmqY6Q4OTVCrl5+rTBCfN6Okcxxn0k/y/0tJS3Lt3D48fP6Y+So2MoWHJ4Otxb9y4AY7jMGjQIGPLhgEDBuDYsWP8PHGEGMvh+efxc1oa5j7/vLmLQhopTfObjY2NzvWasaMKCgqQlZUFiUSCgoICCAQC2NraQigUag04yXEc2rVrh3bt2uGNN95AXFwcTp48iX/++YcPTmq1GleuXMGVK1ewdu3aKoMTx3H8tDKa4JSZmYn09HR+9HGO4yq9AeCDkoWFBd8Mqe93S0tLgwOYvp8ammZQzff4svd1LTP2fmXLNDe1Ws0/jxSUmi6Dw1JOTg4AoFmzZkafVHOM7Oxso49FCCH1gaWlJVxcXODi4oKAgACIxWIUFBTgyZMnKCoqQlFRUaWDbpYNTq+//jofnE6cOIHHjx8DMD44qdVqAJWHgrLhAIBW/63ywaL8scqfV0PXOn1BrWxw0fVT1zk1v5c/hr6R0Mtuo6txpeyFAJqfFJSaNoPDkmZOJ1OM8aE5RvnJdwkhpDHgOA6Ojo5wdHSEn58fiouLUVBQgJycHH66l8omF66t4FTTee1MpaoaHEB3SCn7s6p1hNQWg8OSi4sLsrOz+RomY+Tm5gJ4OoElIdUhFoshkUgqLNe8Lit7fdrb28PBwaFWy0aILhzHQSQSQSQSwdfXFzKZjB+tXDOnHaB7tPLywSk+Pp7v41RZcOrWrRuGDh1qUB+nukThhjRkBoclDw8PZGdn4969e0afVDMwZUMdNoCYz7Vr13DmzJlK1x88eFDn8oEDB5qkvx0hxrKxsYG3tze8vb2hUChQWFiIvLw8ZGdno7CwkB9Dyc7OTuvKOo7j0LZtW7Rt21ZvcLp69SquXr2qFZzCwsLg5uZmrodMSINn8NVws2bNwo4dOxAUFIS4uDijTtq2bVs8ePAA06ZNw/bt2406lrnQ1XDmUVnNUlWoZonUd5rRyjXBSSKRQKVSQSAQ8FfW6aqVYYzpDE7lOTo6wsvLC56envxPb29v/r6Xl1elndcJaaxMPnTATz/9hKlTp4LjOPz2228YPXp0jQp28OBBjBs3DhzHYefOnZgyZUqNjmNuFJYIIbVFrVbzV9Y9efIEYrEYCoUCVlZWfAdxY4JTZZycnLTClCZElb1PgYo0JiYPS8XFxQgICEBubi68vLwQHR0NPz+/ahUqJSUFffr0QWZmJtzd3ZGcnNxgh+insEQIqQuMMX4YguzsbBQUFEAul8PCwgJ2dnYVrqwru58mON28eRNZWVnIysqCSqUyqjxOTk4VaqjKhyoKVKShqJW54datW4cPPvgAHMehRYsW2Lt3L/r27WvQvhcvXsTLL7+MR48egeM4rF69GosWLTL01PUOhSVCiDmUvbIuLy8PMpkMAPgr6/Rd9aZWq5Gfn48nT57w4SkrK4u/r/lpqkClq9nPy8sLHh4eFKhIvVArYUmtVmPEiBE4fvw4PzbGc889h2nTpiE0NLTCGEzp6ek4f/48du7ciWPHjvGXhw4dOhTHjh1r0FdFUFgihJibXC5HQUEB38+ppKSEH7nbzs5O68o6Q2kCVdkwVT5QPXnyxOhA5ezszAcpb29v+Pv7IyAgAIGBgfD09GzQ/x9Iw1ErYQkACgsL8eKLL+LcuXMVXsxCoZAfDkBTVayhOU1oaCj+/PPPBj9sAIUlQkh9olQqta6sk0ql/JV1tra2Jh1QUa1WIy8vTytE6QpVpaWlNTq+nZ0dAgIC4O/vj8DAQAQEBCAgIAB+fn56594jpLpqLSwBT0d2Xbp0KTZt2qQViPQRCoV488038cUXX9To2059Q2GJEFJfaaZe0TS5SSQSKJVKAE+HILCysqpwM3VNTtlAVVmoqm6gsrS0hK+vLx+gygYpe3t7k5afNA21GpY0MjIy8O233yIiIgIxMTH8EPgaFhYW6Nq1K4YPH47XX3/dJFOl1BcUlgghDYFarYZEIkFJSQnkcjlKSkpQXFyM4uJifkJgTWBhjMHS0rJCkKqt0b9LS0uRn5+P1NRUJCcna93S0tJ0TkVSGXd3dz5Ala2RoiY9ok+dhKWyiouLkZmZidzcXDDG4ObmBm9vb5NMj1IfUVgihDRkjDEolUrI5XKtW3FxMaRSKeRyOVQqFVQqFR+m6qpWCnjaH+vx48dISkpCcnIy//PRo0cGt2gAupv0AgMD0bx5c2rSI3UflpoaCkuEkMastLS0QpCSyWSQSqUoKSnRqpXS/Bupi1optVqNzMxMPjyVveXn5xt8HGrSIwCFpVpHYYkQ0lQxxqBQKCCXy/mfcrkcUqkUxcXFkMlkfI1UXdZKFRQUVAhQSUlJSE9PN7pJr1WrVnBzc6MmvUaGwlIto7BECCG6qVQqrRClqZXS9J1SqVR6a6UEAgGsrKx0DrZZE3K5HCkpKVrNeTVp0nN0dETLli3RqlUr/merVq3g4uJiknKSukdhqRJXrlzBsmXLcOHCBSiVSnTq1AkLFizAhAkTqnUcCkuEEFJ9ZWul9PWVUiqVfJCysLCoEKRM0bxXWZNeUlISCgoKDD6Oi4sLWrZsqRWgWrZsCScnJ6PLSGoXhSUdTp8+jeHDh8PGxgaTJk2Cg4MDDhw4gEePHmHdunVYuHChwceisEQIIaanUqkq1EhpgpSmeU9fp3OBQABLS0ujm8vKNuk9fPiQvz158sTgY7i5uWmFJ81P6hNVf1BYKkelUqFdu3ZITU3FpUuXEBISAuDpIJu9evVCcnIy4uPj4e/vb9DxKCwRQkjdKi0thUKhgEwm09m8p1Qq+TClUb6PlEAgMCpIFRUV8cEpMTGR/z03N9fgY3h5eWmFJ82toc6V2pBRWCrn+PHjGD58OGbOnIkff/xRa93OnTsxY8YMrFixAp988olBx6OwRAgh9QdjTOfVe5paKYVCwQep2ugnVVBQoBWeEhMTkZiYiMLCQoOP0axZM63w1Lp1awQEBNA8erXI0LDU8IfSNlBkZCQAIDw8vMK64cOHAwDOnDlTl0UihBBiIhzHwcbGRmew0DemlEQi4X9XqVT84Mpl+0lpQpTmppkbtSxnZ2d0794d3bt31zpvXl6eVi2U5qdYLK5QzvT0dKSnp+PcuXNaj8vX17dCf6iAgACTTmFD9GsyYSkhIQEAEBQUVGGdt7c37O3t+W0IIYQ0HhzHwdraGtbW1nBwcKiwvnw/Kc1I5xKJhG/yY4xBrVZDrVaDMcbXTmlCU9n7mkClCVzt2rVD+/bttYJWbm4u35k8KSmJr5GSSqVaZWOMITU1FampqYiKiuKXW1paonnz5nyI6tatG3r16lVbT2GT12TCkqYqtLKrExwdHfVWl2reQBpFRUWmLSAhhBCz0NQe6ZpxQq1WQy6X82NGqdVqnT81v2ua+soOj6CpsdIELbVaDZFIhPbt26Nt27Z8+GKMIScnB48ePdK6paSkVBjioLS0lF9/+vRpvPjii+jatatWIKMxoUynyYQlY33xxRdYsWKFuYtBCCGkDllYWMDW1tbo42jCkq6Ape+nZsyqx48fIy4uDg8ePOCb8h49egSFQgEA8PX1hVgs1gpeACodjLNsoNLcygetsvfLr9MsayqaTFjS1ChVVntUVFSkd2CxpUuXYsGCBVrb+/n5mbaQhBBCGiVNfycrq5r92+3UqRNGjBjB31er1VAqlXjw4AFiY2PRoUMHBAQE8EGrqpsmrGmGYSg74rpmsNCyNWFlQ1jZZRrlmyM1y+p7LVdpaalBcwQ2mbCk6auUkJCg1QEPADIzMyGRSPS29wqFQgiFwlotIyGEEGIICwsLCIVCBAcHIzg42OTHNyRsVbVN2QBWny+8p7BUxsCBA/HFF1/g+PHjmDRpkta6iIgIfhtCCCGkqdPUhJGnmsw4SyqVCm3btkVaWlqlg1LGxcUhICDAoOPROEuEEEJI09BkapasrKywbds2DB8+HM8884zO6U4MDUqEEEIIaTqaTM2SxuXLl3VOpDtx4sRqHYdqlgghhJCmocmFJVOhsEQIIYQ0DdR7ixBCCCFEDwpLhBBCCCF6UFgihBBCCNGDwhIhhBBCiB5NZugAU9P0i6cJdQkhhJCGzcHBQe+ULBSWaig3NxcAaH44QgghpIGr6sp2Cks15OrqCgBISUnhJ+klhDylmWj68ePHNLQGIWXQe6N+cnBw0LuewlINaebMcXJyohc8IZVwdHSk9wchOtB7o2GhDt6EEEIIIXpQWCKEEEII0YPCUg0JhUIsW7YMQqHQ3EUhpN6h9wchutF7o2GiueEIIYQQQvSgmiVCCCGEED0oLBFCCCGE6EFhiRBCCCFEDwpL1XTlyhWMGDECzs7OEIlE6NOnD3799VdzF4sQk9qzZw/mzZuHHj16QCgUguM47Nixo9Lti4qKsGDBAvj7+0MoFCIgIACLFi2CRCLRub1arcamTZvQqVMn2NrawsPDA5MnT8bDhw9r6RERYhppaWnYsGEDwsPD0aJFC1hbW8Pb2xtjx45FdHS0zn3o/dEIMGKwU6dOMYFAwBwcHNicOXPYggULmL+/PwPA1q1bZ+7iEWIymte1u7s7//v27dt1biuRSFhISAgDwMLDw9nixYtZeHg4A8B69uzJSkpKKuwze/ZsBoAFBwezDz74gE2ZMoVZW1szV1dXFh8fX8uPjpCaW7x4MQPAWrVqxV599VW2ZMkSNnbsWGZpacksLCzYL7/8orU9vT8aBwpLBlIqlaxVq1ZMKBSymJgYfnlBQQFr06YNs7a2ZsnJyeYrICEm9M8///Cv5y+++EJvWPrkk08YALZ48WKt5Zp/KqtWrdJafurUKQaAPfPMM0wul/PLjx49yv9DIaS+OnDgAIuMjKywPCoqigkEAubi4sJkMhm/nN4fjQOFJQNFREQwAGzmzJkV1u3YsYMBYCtWrDBDyQipXfrCklqtZs2aNWP29vZMIpForZNIJMze3p61bNlSa/nkyZMZAHbmzJkKxxs0aBADwB49emTSx0BIXdDUGF25coUxRu+PxoT6LBkoMjISABAeHl5h3fDhwwEAZ86cqcsiEWJ2CQkJSE9PR2hoKEQikdY6kUiE0NBQPHz4EI8fP+aXR0ZG8uvKo/cSacgEAgEAwMrq6bSr9P5oPCgsGSghIQEAEBQUVGGdt7c37O3t+W0IaSr0vS/KLtdsJ5VKkZGRgcDAQFhaWla5PSENRUpKCk6cOAEfHx906tQJAL0/GhMKSwYqLCwEADg5Oelc7+joyG9DSFNhyPui7HbV3Z6QhkCpVGLq1KmQy+VYs2YNH3To/dF4UFgihBBCakitVmPGjBmIiorCnDlzMHXqVHMXidQCCksG0iT9yhJ9UVFRpd8GCGmsDHlflN2uutsTUp+p1WrMmjULe/fuxZQpU7Blyxat9fT+aDwoLBlIX1txZmYmJBJJpe3ShDRWVfWhKN9nQyQSwcfHB0lJSSgtLa1ye0LqK7VajZkzZ2Lnzp2YPHkyduzYAQsL7X+p9P5oPCgsGWjgwIEAgOPHj1dYFxERobUNIU1FUFAQmjVrhvPnz0MqlWqtk0qlOH/+PAIDA+Hn58cvHzhwIL+uPM176ZlnnqndghNiBE1Q2rVrFyZOnIjdu3dX2iGb3h+NA4UlAw0ZMgQtW7bE3r17cePGDX55YWEhVq1aBWtra0ybNs18BSTEDDiOw+zZsyGRSLBy5UqtdStXroREIsGcOXO0ls+dOxcA8PHHH0OhUPDL//77b0RGRiI8PBz+/v61X3hCakDT9LZr1y6MHz8ee/bs0RmUAHp/NCYcY4yZuxANxenTpzF8+HDY2Nhg0qRJcHBwwIEDB/Do0SOsW7cOCxcuNHcRCTGJbdu24dy5cwCA27dv4/r16wgNDUXr1q0BAP3798fs2bMBPP2GHBoaips3byI8PBzdunXD9evXcfz4cfTs2RNnzpyBra2t1vHnzJmDbdu2ITg4GM8//zwyMjKwb98+2Nvb4+LFi2jTpk3dPmBCDLR8+XKsWLEC9vb2eOedd/gxlcoaNWoUQkJCAND7o9Ew96iYDU10dDR79tlnmaOjI7O1tWW9evWqMBcQIQ3d9OnTGYBKb9OnT9favqCggL377rvMz8+PCQQC1qJFC7Zw4UJWVFSk8/ilpaXs66+/ZsHBwUwoFDI3Nzc2ceJE9uDBgzp4dITUXFXvDegY7Z7eHw0f1SwRQgghhOhBfZYIIYQQQvSgsEQIIYQQogeFJUIIIYQQPSgsEUIIIYToQWGJEEIIIUQPCkuEEEIIIXpQWCKEEEII0YPCEiGEEEKIHhSWCCGEEEL0oLBECCGEEKIHhSVCCCGEED0oLBHSSCUnJ4PjOHAchxkzZpi7OKSWnT17FhzHwdLSEjdv3jR3cWrF0aNHwXEchEIh4uPjzV0c0oRYmbsAhDR1HMfpXC4QCODo6AhHR0f4+vqia9eu6N69O1588UW4urrWcSkrKigowIYNGwAAISEhGDVqlFnL05SVlpbijTfeAABMnToVXbp0MXOJaseIESMwaNAgREZG4u2338axY8fMXSTSRHCMMWbuQhDSlFUWliojFAoxZswYfPbZZ2jZsmWl2yUnJyMwMBAAMH36dOzYscOYYtb58YnhfvzxR7z66quwsLDA/fv3ERQUZO4i1ZpTp05hyJAhAIATJ07wvxNSmygsEWJmZcPS77//zv/OGINYLEZBQQFiY2Nx4cIF3Llzh18vEomwceNGzJo1q07Lq0FhqX5QKpVo3bo1UlJSMG7cOOzfv9/cRap1PXv2xNWrV9GnTx9cvHjR3MUhTQA1wxFSj1TVlHXp0iUsWbIEZ86cgVQqxezZs2FnZ4dJkybVTQFJvbNv3z6kpKQAAF577TUzl6ZuzJ8/H7Nnz8alS5dw/vx5hIaGmrtIpJGjDt6ENCB9+vTByZMnMXfuXABPa59mzpyJx48fm7lkxFy+/fZbAICfnx/CwsIq3U4ul0MgEIDjOAwaNKjK4/bp0wccx8HBwQH1rQFiwoQJsLGxAQB88803Zi4NaQooLBHSwFhaWuKbb75Bz549AQAymQyrVq2qsJ0hV8Op1Wrs3bsXo0aNgr+/P2xtbWFjYwNfX1906dIF48ePx3fffYfc3NwKx9U0wQHAzp07+XOVvUVGRmqdTyaT4dChQ3j77bfRr18/eHh4QCAQwMHBAUFBQZg6dSr++eefKp+DyMhI/hzLly8HAKSnp+PDDz9EcHAw7O3t4ejoiK5du+LTTz+FWCyu8pjA00Cxbds2jBkzBgEBARCJRBAKhfDz88OIESOwbt06pKen6z2GTCbD1q1b8cILL8DPzw82NjZwcnJCx44d8fbbb5v0Kq64uDhcunQJADBmzBi9/d/u3r0LlUoF4GmHfH3UajVu374NAOjcuXOF4+p6/h88eIB33nkHbdu2hUgkgre3N8LDw3H8+PEKx79w4QJefvlltGrVCjY2NvDy8sL48eMNvorPwcEB4eHhAIA//vgDhYWFBu1HyP+1d/dBUVVvHMC/sMoq7CJomiMsakOACA6kIWIN9BN8SZNwQEsSTcdyzJr0jyxzliB1LItsfPnDIlsndELDRAKBRhwYI2QlIt40AWtQBNEIWtgVdu/vD2ZPd93de3cXCNHnM8PM7t7nnnvuXcd95pznnuswjhAyrACwP3tkZ2ez/dzc3Lh79+6ZbG9qamLb165da7Z/e3s7Fx4ebnJ8a3/79u2z2K7YX1FRkckxp0+fbtN+sbGxXFdXl9VzLyoqYrHJyclcfn4+N378eKvt+fn5cc3NzYLX8/z585yXl5do30JCQqy2ceHCBdE2JBIJt2fPHsG+2GrPnj2s3aysLMHYr7/+msUePXpUMLa+vp7Fbtq0yWz7/dc/KyuLk8lkVs95165dHMdxnMFg4JRKpdW40aNHc9nZ2Tade1paGtvvxIkTNu1DiKOoZomQEWrZsmXw8PBAR0cHNBoNysvLERERYfP+GzduZKMSCoUCL730Ep588kl4enpCo9Hg999/R2lpKUpKSkz2mzRpEk6fPo22tja8/vrrAIDnnnsOb731ltkxgoKCTN53d3fDw8MD//vf/xAaGoqpU6fC1dUVnZ2dqKqqwrfffouWlhacOXMG69evR2Zmpuh5VFZW4pNPPkFvby/WrVuHZ555BnK5HFeuXMHhw4dx69YtXL16Fa+++qrFUQ6gf3QiISGBjbz4+fkhISEB/v7+kEqlaGlpwaVLl/DDDz9YnZLKy8tDbGwsent74ezsjMWLFyM6OhpeXl7QarVQq9U4duwY/v77b+zYsQMA8N5774men5D8/Hz2Ojw8XDC2qqqKvRYbWeKP8IgtQ1BRUYGPPvoIEokEW7ZsQVhYGCQSCS5cuICjR4+ir68PO3fuxPz581FRUYHU1FRMnToV69atQ0BAADQaDTIzM1FQUMC+wytXruCxxx4TPC7/fM+dO0d1e2RoDXe2RsijDg6OLHEcxy1atIjtu3//fpNtQiNLra2tnLOzMweAi4iI4Hp6eqweo62tjautrTX7XGzkypLc3FyzETA+jUbDvfjii6zdkpISi3H8kQ0A3JQpU7jq6mqzuJaWFs7b25vFXb582Szm+vXrnFwuZzEpKSlcX1+fxeP29PRwOTk5Zp/fvHmTjWxNmjSJKy0ttbh/c3MzFxQUxEaY6urqrF4LMX19fZybmxsHgFMoFKLx0dHRbPRGp9MJxu7YsYNdj59++sls+/3Xf9q0aVxjY6NZnEqlYjFBQUGcVCrlli5dynV3d5vFJiUlsdiPP/5Y9Hy0Wi3n4uLCAeD8/f1F4wkZCKpZImQEmzp1Knt9+/Ztm/drbGyEwWAAACQmJrJiWUsmTpyIGTNmON5JniVLlmD06NFWt7u6ukKlUsHNzQ1Afy2ULb755hvMnDnT7PPJkyfj/fffZ+/z8vLMYvbu3ctqmjZv3gylUgmJRGLxOGPGjMHSpUvNPt+3bx/u3r0LADh16pTVUR4vLy+cPHkSEokEer0en3/+ufjJWdHU1ASNRgMACAgIEI03jizNmDEDLi4ugrGVlZUA+pe1CA4OFm07IyPDpIbNKCkpia35VF1djXHjxuH48eMYO3asWeyuXbtYbZQti01KpVK2ztjVq1eh1WpF9yHEUZQsETKCeXp6stf8ImwxxmQEAC5fvjyofRood3d39gNtnCYUEhISIngXWExMDHtdXV1tsk2v1+P48eMA+n98jcXK9uA4DseOHQMAzJs3D88++6xgfEBAAMLCwgCYTqPZ6/r16+y12Irura2taGtrAyA+BQf8Ow33xBNPQCaTCcY+9dRTgtO//Nv6k5KS4O7ubjFOoVCw5L+2tla0j8C/581xHFs+gZChQDVLhIxgHK9+xp6VwAMDA+Hl5YUbN27gq6++gl6vx8aNGxEeHm51VGWw/PXXX8jIyMC5c+dQXV2NO3fuQKPRWKwFam5uFm1v3rx5gtu9vb1Njs1XVVWFzs5OAGB359mrtraWJaqenp74/vvvRfcxXuOmpiZotVrBkT1rjCNZADBhwgTBWH69klgN0p07d3Djxg2bYgHxWqnJkyez18YkUSj2+vXrZt+TNfzz5l8PQgYbJUuEjGD8HxWxH0w+iUSCI0eOYMWKFdDpdFCpVFCpVHB3d8fcuXMxf/58REdHIyIiwu7HsQg5c+YMNmzYYPMomDGRESJWCCyVStnr+6dq+MlYYGCgTX26H3+EJzc3F7m5uXbtf/fuXUyZMsXu4+p0OvZaLpcLxtpT3G2cggP6lw0QI/bvjn/9bY3ln5sQ/ihVT0+PTfsQ4ghKlggZwfg/1PaOijz//PNQq9VISUlBdnY27t27h87OThQWFqKwsBAffPABpk+fjtTUVLzyyisD7mtpaSni4+PZHWezZs1CdHQ0fH194enpCalUyhKznTt3oqamhtVVCXF2dryagJ+MiU03WdPR0eHw8QHg3r17Du3HT0LEksqhuhMOsO/6D+S7soS/vpKlOihCBgslS4SMUAaDAWVlZez93Llz7W4jKCgIJ0+ehEajwcWLF/Hzzz+jpKQEJSUl0Ol0aGpqwpo1a9DQ0IDk5OQB9VepVLJE6dChQ9i8ebPV2N27dw/oWLbij0z8888/DrXBT7K2bduGTz/9dMD9soU9U1DGZMnb21u0volfw2bLyNJw4o9Qip0XIQNBBd6EjFBnz55lIwoymQyzZ892uC03NzcsXLgQSqUShYWFuH37Nj788EO2fffu3bh165bD7ff29rLVvGfPni2YKAGmI2ZDiV/PZGtRsVAb/+VjZ/h3nwklS319fairqwMA0bsaDQYD+57kcrnFO9weJMbzdnJyMrkzlJDBRskSISNQb28vdu3axd6vW7cOo0YN3kCxXC7Hzp07ERsby453/51p/CkVS8XZfO3t7WxUydfXVzC2vLwc7e3tjnTbbrNmzcK4ceMA9D+Cw57lF4xCQkJYG0VFRTbX2wzUtGnTWK2SMRmy5OrVq6xP/LsgLTl37hx7nIulx5w8SLRaLZqamgCALR5KyFChZImQEUav12PLli1Qq9UA+ms13n333SE5Fn9kwZjsGPGnn4zr/VjD/5G+du2aYOxAp/vsIZFIkJiYCKC/qNiRpQP4bbS3tyMtLW0wu2iVs7Mzez5gc3Oz1WfW8euVhJKq7u5uvPPOO+z9gz4FV1FRweq9xO7II2SgKFkiZAS5dOkSFixYgCNHjgDon35QqVTw8vKyq538/Hx89tlngrdot7W14bvvvmPv7y/2HT9+PBtRqaysFBxdcnd3h5+fH4D+mphTp06Zxej1emzdutXiwpFDafv27ax26fDhw0hNTYVer7cYq9PpLPZvx44d8PDwANBfnL5//37B4nSNRoMvv/wSJ06cGFDfFy9ezF7z69f4+MnSlStXcPDgQbOYmzdvYtmyZaipqWGf+fj4DKhvQ40/0rlo0aJh7Al5FFCBNyEPkPvX6Onq6kJHRwdqampw8eJFk0UVZTIZDh48iISEBLuP09LSgm3btmH79u2IiopCeHg4W4Dwzp07qKqqwokTJ1gytXLlSrYSM9+CBQuQlZWFhoYGrFy5EitWrICHhwebvgkLC2OFt2+//TarVVq5ciVWrVqFyMhIeHp64tq1a8jIyEBdXR2CgoIglUr/s8UyfXx8oFKp2LPhkpOTkZGRgYSEBAQEBMDFxQWtra1Qq9XIycmBQqHAkiVLTNrw8vJCZmYmXnjhBeh0OmzduhWHDx9GXFwcAgMDIZPJ0NXVhaamJqjVapw/fx5ardakLswRcXFxbDTo/PnziIuLM4sxJktSqRTOzs548803kZGRgaeffhpjx45FfX09CgoKoNVq2dpbAJCeno6GhgYkJiYiKipqQP0cCsXFxQD6V1W///sgZNAN57NWCCGmz4az5W/MmDHcyy+/bPFZXHxCz27jP4Fe7C8+Pp7TaDQWj/Hrr79yrq6uVvctKipisQaDgVu/fr3gsYKDg7nGxkYuMjJS8Hl59z/13tZrHBkZaTWmoKCAmzx5suj1CA0NtdpGeXk55+/vb9N1lUgk3BdffCHadzEREREcAG7ixIkWn7unUChYv1NSUqz257XXXuPS09PNPm9ubjZr057rn5ycbPHfgyVi37tRV1cXN2bMGA4At2rVKsFYQgYDjSwR8oAaNWoU5HI53N3d4e3tjdDQUMyZMwfLly83ecyJI5KSkhAYGIgff/wRZWVlqKurw82bN9HT0wNXV1f4+PggPDwca9asQWRkpNV2Zs2ahV9++QVpaWkoLi7Gn3/+ie7ubotTck5OTkhPT8fSpUtx5MgRqNVqdHZ2YsKECfD390dCQgI2bNjg0GrWgyEmJgaNjY04evQozp49i6qqKrS3t8PJyQmPP/44goODERMTg9WrV1ttY86cOaitrUVWVhbOnDmDsrIytLa2QqPRQCaTQaFQIDg4GFFRUVi+fLnJ6taOeuONN1hxel5eHpYvX862dXR0sDv0Zs6cCaVSCYVCgQMHDqC+vh6urq4ICQnBpk2bEB8fD61Wi5ycHOTn50OhUGD16tV2T/H+FzIzM9kCo1u2bBnm3pBHgRNn6X81QgghI0JfXx98fX3xxx9/IC4uDllZWWxbcXExS3b37t2L7du3D1c3B1VYWBjKy8sxd+5cm54fSMhAUYE3IYSMYKNGjYJSqQTQ/zgZfl0bv7g7KCjoP+/bUCgqKkJ5eTkAmCyfQchQomSJEEJGuLVr1yI4OBgGg4ElToBpsjRz5szh6NqgMxbFL1y4ENHR0cPcG/KooGSJEEJGOIlEgkOHDgEATp8+jYqKCgD/JktyufyhWOE6NzcXRUVFcHFxwYEDB4a7O+QRQjVLhBDyEOI4DnK5HBqNhmp7CBkgGlkihJCHUENDA1tZ/WGZgiNkuFCyRAghD6HffvuNvX5YirsJGS40DUcIIYQQIoBGlgghhBBCBFCyRAghhBAigJIlQgghhBABlCwRQgghhAigZIkQQgghRAAlS4QQQgghAihZIoQQQggRQMkSIYQQQogASpYIIYQQQgRQskQIIYQQIoCSJUIIIYQQAf8HVPQU2sq3Cr4AAAAASUVORK5CYII=\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np3_dd/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_iSPN_to_iSPN_f1_mu2_a3/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", + "Centering in None : Keeping 150/150\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 827 connections\n" + "Plotting 4419 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np3_dd/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n", + "Wrote networks/scan_iSPN_to_iSPN_f1_mu2_a3/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_dSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np4_dd/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np4_dd/network-config.json\n", + "Writing networks/scan_iSPN_to_iSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_iSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_iSPN_f1_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", - "Processing hyper voxel : 31/125 (150 neurons)\n", - "Processing hyper voxel : 36/125 (148 neurons)\n", - "Processing hyper voxel : 32/125 (146 neurons)\n", - "Processing hyper voxel : 37/125 (139 neurons)\n", - "Processing hyper voxel : 56/125 (124 neurons)\n", - "Processing hyper voxel : 61/125 (108 neurons)\n", - "Processing hyper voxel : 57/125 (87 neurons)\n", - "Processing hyper voxel : 6/125 (87 neurons)\n", - "Processing hyper voxel : 11/125 (74 neurons)\n", - "Processing hyper voxel : 62/125 (71 neurons)\n", - "Processing hyper voxel : 7/125 (64 neurons)\n", - "Processing hyper voxel : 30/125 (60 neurons)\n", - "Processing hyper voxel : 35/125 (56 neurons)\n", - "Processing hyper voxel : 26/125 (43 neurons)\n", - "Processing hyper voxel : 12/125 (40 neurons)\n", + "Processing hyper voxel : 56/125 (150 neurons)\n", + "Processing hyper voxel : 31/125 (149 neurons)\n", + "Processing hyper voxel : 36/125 (131 neurons)\n", + "Processing hyper voxel : 61/125 (129 neurons)\n", + "Processing hyper voxel : 57/125 (125 neurons)\n", + "Processing hyper voxel : 32/125 (115 neurons)\n", + "Processing hyper voxel : 55/125 (89 neurons)\n", + "Processing hyper voxel : 30/125 (79 neurons)\n", + "Processing hyper voxel : 51/125 (76 neurons)\n", + "Processing hyper voxel : 26/125 (73 neurons)\n", + "Processing hyper voxel : 62/125 (70 neurons)\n", + "Processing hyper voxel : 37/125 (55 neurons)\n", + "Processing hyper voxel : 60/125 (51 neurons)\n", + "Processing hyper voxel : 35/125 (41 neurons)\n", + "Processing hyper voxel : 81/125 (38 neurons)\n", + "Processing hyper voxel : 52/125 (31 neurons)\n", "Processing hyper voxel : 27/125 (29 neurons)\n", - "Processing hyper voxel : 55/125 (26 neurons)\n", - "Processing hyper voxel : 60/125 (21 neurons)\n", - "Processing hyper voxel : 41/125 (19 neurons)\n", - "Processing hyper voxel : 5/125 (17 neurons)\n", - "Processing hyper voxel : 51/125 (13 neurons)\n", - "Processing hyper voxel : 1/125 (10 neurons)\n", - "Processing hyper voxel : 10/125 (9 neurons)\n", - "Processing hyper voxel : 42/125 (8 neurons)\n", - "Processing hyper voxel : 2/125 (7 neurons)\n", - "Processing hyper voxel : 33/125 (7 neurons)\n", - "Processing hyper voxel : 66/125 (7 neurons)\n", - "Processing hyper voxel : 81/125 (7 neurons)\n", - "Processing hyper voxel : 52/125 (5 neurons)\n", - "Processing hyper voxel : 17/125 (5 neurons)\n", - "Processing hyper voxel : 25/125 (3 neurons)\n", - "Processing hyper voxel : 38/125 (3 neurons)\n", - "Processing hyper voxel : 16/125 (3 neurons)\n", - "Processing hyper voxel : 40/125 (3 neurons)\n", + "Processing hyper voxel : 50/125 (17 neurons)\n", + "Processing hyper voxel : 6/125 (16 neurons)\n", + "Processing hyper voxel : 86/125 (15 neurons)\n", + "Processing hyper voxel : 25/125 (12 neurons)\n", + "Processing hyper voxel : 80/125 (11 neurons)\n", + "Processing hyper voxel : 82/125 (11 neurons)\n", + "Processing hyper voxel : 11/125 (8 neurons)\n", + "Processing hyper voxel : 7/125 (7 neurons)\n", + "Processing hyper voxel : 87/125 (6 neurons)\n", + "Processing hyper voxel : 1/125 (6 neurons)\n", + "Processing hyper voxel : 5/125 (5 neurons)\n", + "Processing hyper voxel : 76/125 (4 neurons)\n", + "Processing hyper voxel : 58/125 (3 neurons)\n", + "Processing hyper voxel : 41/125 (3 neurons)\n", "Processing hyper voxel : 67/125 (3 neurons)\n", - "Processing hyper voxel : 80/125 (2 neurons)\n", - "Processing hyper voxel : 63/125 (2 neurons)\n", - "Processing hyper voxel : 86/125 (2 neurons)\n", - "Processing hyper voxel : 13/125 (2 neurons)\n", - "Processing hyper voxel : 8/125 (2 neurons)\n", - "Processing hyper voxel : 58/125 (2 neurons)\n", + "Processing hyper voxel : 12/125 (2 neurons)\n", + "Processing hyper voxel : 75/125 (2 neurons)\n", + "Processing hyper voxel : 33/125 (1 neurons)\n", "Processing hyper voxel : 65/125 (1 neurons)\n", - "Processing hyper voxel : 28/125 (1 neurons)\n", + "Processing hyper voxel : 66/125 (1 neurons)\n", + "Processing hyper voxel : 77/125 (1 neurons)\n", + "Processing hyper voxel : 10/125 (1 neurons)\n", + "Processing hyper voxel : 85/125 (1 neurons)\n", + "Processing hyper voxel : 42/125 (1 neurons)\n", "Processing hyper voxel : 0/125 (1 neurons)\n", - "Read 72238 out of total 72238 synapses\n", - "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", - "type_id_lookup = {'dSPN': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 100, fitness 9.418741943739974Worker iter: 100, fitness 9.418741943739974\n", - "\n", - "Worker iter: 100, fitness 9.418741943739974\n", - "Worker iter: 200, fitness 8.725180106675197\n", - "Worker iter: 200, fitness 9.037128375189276\n", - "Worker iter: 200, fitness 8.797529109459333\n", - "Worker iter: 200, fitness 8.779974447398894\n", - "Worker iter: 200, fitness 8.79642805527794\n", - "Worker iter: 200, fitness 9.015074569817262\n", - "Worker iter: 200, fitness 8.447909840761088Worker iter: 200, fitness 8.484543053954015\n", + "Read 291902 out of total 291902 synapses\n", + "connectivity_distributions = {(1, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", + "type_id_lookup = {'iSPN': 1}\n", + "From hist_file: b'{\"iSPN$$iSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 5.259654731099225\n", + "Worker iter: 100, fitness 5.259654731099225\n", + "Worker iter: 100, fitness 5.259654731099225\n", + "Worker iter: 100, fitness 5.259654731099225Worker iter: 100, fitness 5.259654731099225\n", "\n", - "Worker iter: 300, fitness 8.161083310381592\n", - "Worker iter: 300, fitness 8.26505893196138\n", - "Worker iter: 300, fitness 8.263701379592044\n", - "Worker iter: 300, fitness 8.15577892027589\n", - "Worker iter: 300, fitness 8.241363439842877\n", - "Worker iter: 300, fitness 8.22982440946148\n", - "Worker iter: 300, fitness 8.121031792485065\n", - "Worker iter: 300, fitness 8.111193201988993\n", - "Worker iter: 400, fitness 8.072315509863806\n", - "Worker iter: 400, fitness 8.072315509863806\n", - "Worker iter: 400, fitness 8.072315509863806\n", - "Worker iter: 400, fitness 8.072315509863806\n", - "Worker iter: 400, fitness 8.072315509863806\n", - "Worker iter: 400, fitness 8.072315509863806\n", - "Worker iter: 400, fitness 8.072315509863806\n", - "Worker iter: 400, fitness 8.072315509863806\n", - "Duration: 173.162338574999 s\n", - "f1 = 0.3147, softMax = 3.4132, mu2 = 2.6435, a3 = 0.7748 (1-exp(-(0.4*d/60e-6)**2))\n", - " fun: 8.072315509863806\n", + "Worker iter: 100, fitness 5.259654731099225\n", + "Worker iter: 100, fitness 5.259654731099225\n", + "Worker iter: 100, fitness 5.259654731099225\n", + "Duration: 268.38350197900036 s\n", + "f1 = 0.0284, a3 = 0.8091, \n", + " fun: 8.38335364707352\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 3285\n", - " nit: 81\n", + " nfev: 963\n", + " nit: 47\n", " success: True\n", - " x: array([0.31465342, 3.41322094, 2.64347864, 0.77482223])\n", + " x: array([0.02837053, 0.80905441])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_dSPN_np4_dd/figures\n", + "Creating figures directory networks/scan_iSPN_to_iSPN_f1_a3/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0008079200051724911 seconds\n", - "Created connection matrix 0.003244177991291508 seconds\n", - "Created gap junction connection matrix 7.820897735655308e-05 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0009482379991823109 seconds\n", + "Created connection matrix 0.014864455999486381 seconds\n", + "Created gap junction connection matrix 0.00014613699931942392 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 2780, at 0\n", - "Created distance histogram (optimised) in 0.0026188420015387237 seconds\n", - "Saving cache to networks/iSPN_to_dSPN_np4_dd/network-synapses.hdf5-cache\n", - "Plotting connection probability iSPN to dSPN (synapses)\n", - "Centering in None : Keeping 75/75\n", + "n_synapses = 6768, at 0\n", + "Created distance histogram (optimised) in 0.00612388599984115 seconds\n", + "Saving cache to networks/scan_iSPN_to_iSPN_f1_a3/network-synapses.hdf5-cache\n", + "Plotting connection probability iSPN to iSPN (synapses)\n", + "Centering in None : Keeping 150/150\n", "Counting connections\n", - "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.2391304347826087\n", - "P(d<0.0001) = 0.17289600813628273\n" + "Requested: 10000000.0 calculated [22350.]\n", + "P(d<5e-05) = 0.3583423618634886\n", + "P(d<0.0001) = 0.2659493187316949\n" ] }, { "data": { - 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np4_dd/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_iSPN_to_iSPN_f1_a3/figures/Network-distance-dependent-connection-probability-iSPN-to-iSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", - "Centering in None : Keeping 75/75\n", + "Centering in None : Keeping 150/150\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 825 connections\n" + "Plotting 5083 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np4_dd/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n", + "Wrote networks/scan_iSPN_to_iSPN_f1_a3/figures/Network-number-of-synapses-from-iSPN-to-iSPN-per-cell.png\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_dSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np1/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np1/network-config.json\n", + "Writing networks/scan_iSPN_to_dSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_dSPN_f1_mu2_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_dSPN_f1_mu2_a3_distdep/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 31/125 (150 neurons)\n", "Processing hyper voxel : 36/125 (148 neurons)\n", @@ -7967,82 +3695,110 @@ "Read 72238 out of total 72238 synapses\n", "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", "type_id_lookup = {'dSPN': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Duration: 15.630273321003187 s\n", - "f1 = 0.0149\n", - " fun: 11.547101866227601\n", + "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 10.066550165425394\n", + "Worker iter: 100, fitness 10.423049755806227\n", + "Worker iter: 100, fitness 10.147995255687984\n", + "Worker iter: 100, fitness 10.063426519619496\n", + "Worker iter: 100, fitness 10.079981404600131\n", + "Worker iter: 100, fitness 10.452208785366127\n", + "Worker iter: 100, fitness 10.05048077208036\n", + "Worker iter: 100, fitness 9.929442955638352\n", + "Worker iter: 200, fitness 9.30691179857548\n", + "Worker iter: 200, fitness 9.30949029088071\n", + "Worker iter: 200, fitness 9.308925487316335\n", + "Worker iter: 200, fitness 9.307431869508317\n", + "Worker iter: 200, fitness 9.342456127165523\n", + "Worker iter: 200, fitness 9.30949029088071\n", + "Worker iter: 200, fitness 9.306865333698903\n", + "Worker iter: 200, fitness 9.306865333698903\n", + "Worker iter: 300, fitness 9.274514980573606\n", + "Worker iter: 300, fitness 9.274514980573606\n", + "Worker iter: 300, fitness 9.274514980573606\n", + "Worker iter: 300, fitness 9.274514980573606\n", + "Worker iter: 300, fitness 9.274514980573606\n", + "Worker iter: 300, fitness 9.274514980573606\n", + "Worker iter: 300, fitness 9.274514980573606\n", + "Worker iter: 300, fitness 9.274514980573606\n", + "Duration: 259.3857531800004 s\n", + "f1 = 0.2439, mu2 = 2.0838, a3 = 0.7779, (1-exp(-(0.4*d/60e-6)**2))\n", + " fun: 9.274514980573606\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 272\n", - " nit: 26\n", + " nfev: 2614\n", + " nit: 86\n", " success: True\n", - " x: array([0.01490582])\n", + " x: array([0.24387626, 2.08382764, 0.77790908])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_dSPN_np1/figures\n", + "Creating figures directory networks/scan_iSPN_to_dSPN_f1_mu2_a3_distdep/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0008264610078185797 seconds\n", - "Created connection matrix 0.0027146759966854006 seconds\n", - "Created gap junction connection matrix 0.00032225099857896566 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008597870000812691 seconds\n", + "Created connection matrix 0.0035408270014158916 seconds\n", + "Created gap junction connection matrix 0.0004816780001419829 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 1113, at 0\n", - "Created distance histogram (optimised) in 0.0013312959927134216 seconds\n", - "Saving cache to networks/iSPN_to_dSPN_np1/network-synapses.hdf5-cache\n", + "n_synapses = 2747, at 0\n", + "Created distance histogram (optimised) in 0.003019454001332633 seconds\n", + "Saving cache to networks/scan_iSPN_to_dSPN_f1_mu2_a3_distdep/network-synapses.hdf5-cache\n", "Plotting connection probability iSPN to dSPN (synapses)\n", "Centering in None : Keeping 75/75\n", "Counting connections\n", "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.26413043478260867\n", - "P(d<0.0001) = 0.19908466819221968\n" + "P(d<5e-05) = 0.2510869565217391\n", + "P(d<0.0001) = 0.1856089499110094\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np1/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_iSPN_to_dSPN_f1_mu2_a3_distdep/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 942 connections\n" + "Plotting 868 connections\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np1/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n", + "Wrote networks/scan_iSPN_to_dSPN_f1_mu2_a3_distdep/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_dSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np2/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np2/network-config.json\n", + "Writing networks/scan_iSPN_to_dSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_dSPN_f1_a3_distdep/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_dSPN_f1_a3_distdep/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 31/125 (150 neurons)\n", "Processing hyper voxel : 36/125 (148 neurons)\n", @@ -8091,90 +3847,89 @@ "Read 72238 out of total 72238 synapses\n", "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", "type_id_lookup = {'dSPN': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 7.728209066440173\n", - "Worker iter: 100, fitness 7.7306733646002\n", - "Worker iter: 100, fitness 7.716350874725602\n", - "Worker iter: 100, fitness 7.678098005063983\n", - "Worker iter: 100, fitness 7.676326352448186\n", - "Worker iter: 100, fitness 7.680851159786574\n", - "Worker iter: 100, fitness 7.7264330853291\n", - "Worker iter: 100, fitness 7.677128967882908\n", - "Duration: 47.486482202017214 s\n", - "f1 = 0.0817, mu2 = 2.7089\n", - " fun: 7.674558501828976\n", + "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 9.274514980573606\n", + "Worker iter: 100, fitness 9.274514980573606\n", + "Worker iter: 100, fitness 9.274514980573606\n", + "Duration: 70.97909859799984 s\n", + "f1 = 0.0701, a3 = 0.7884, (1-exp(-(0.4*d/60e-6)**2))\n", + " fun: 12.145951700403014\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 983\n", - " nit: 48\n", + " nfev: 743\n", + " nit: 36\n", " success: True\n", - " x: array([0.0817461 , 2.70892028])\n", + " x: array([0.07011293, 0.78835955])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_dSPN_np2/figures\n", + "Creating figures directory networks/scan_iSPN_to_dSPN_f1_a3_distdep/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007810440147295594 seconds\n", - "Created connection matrix 0.003021510026883334 seconds\n", - "Created gap junction connection matrix 0.00035054198815487325 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008638409999548458 seconds\n", + "Created connection matrix 0.0033885590000863886 seconds\n", + "Created gap junction connection matrix 0.0004875249996985076 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 2694, at 0\n", - "Created distance histogram (optimised) in 0.002553215977968648 seconds\n", - "Saving cache to networks/iSPN_to_dSPN_np2/network-synapses.hdf5-cache\n", + "n_synapses = 1320, at 0\n", + "Created distance histogram (optimised) in 0.001910509001390892 seconds\n", + "Saving cache to networks/scan_iSPN_to_dSPN_f1_a3_distdep/network-synapses.hdf5-cache\n", "Plotting connection probability iSPN to dSPN (synapses)\n", "Centering in None : Keeping 75/75\n", "Counting connections\n", "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.2510869565217391\n", - "P(d<0.0001) = 0.1566234426646326\n" + "P(d<5e-05) = 0.25869565217391305\n", + "P(d<0.0001) = 0.20900076277650648\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np2/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_iSPN_to_dSPN_f1_a3_distdep/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 718 connections\n" + "Plotting 1037 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np2/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n", + "Wrote networks/scan_iSPN_to_dSPN_f1_a3_distdep/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_dSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np3/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np3/network-config.json\n", + "Writing networks/scan_iSPN_to_dSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_dSPN_f1_mu2_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_dSPN_f1_mu2_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 31/125 (150 neurons)\n", "Processing hyper voxel : 36/125 (148 neurons)\n", @@ -8223,103 +3978,109 @@ "Read 72238 out of total 72238 synapses\n", "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", "type_id_lookup = {'dSPN': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 7.674558501828976\n", - "Worker iter: 100, fitness 7.674558501828976\n", - "Worker iter: 100, fitness 7.674558501828976\n", - "Worker iter: 100, fitness 7.674558501828976\n", - "Worker iter: 100, fitness 7.674558501828976\n", - "Worker iter: 100, fitness 7.674558501828976\n", - "Worker iter: 100, fitness 7.674558501828976\n", - "Worker iter: 100, fitness 7.674558501828976\n", - "Worker iter: 200, fitness 7.451593833317284\n", - "Worker iter: 200, fitness 7.430912677891033\n", - "Worker iter: 200, fitness 7.466724041581208\n", - "Worker iter: 200, fitness 7.460873466764277Worker iter: 200, fitness 7.449450746071971\n", - "\n", - "Worker iter: 200, fitness 7.430912677891033\n", - "Worker iter: 200, fitness 7.430912677891033\n", - "Worker iter: 200, fitness 7.4252192719051715\n", - "Worker iter: 300, fitness 7.299588264144076\n", - "Worker iter: 300, fitness 7.299588264144076\n", - "Worker iter: 300, fitness 7.299588264144076\n", - "Worker iter: 300, fitness 7.299588264144076\n", - "Worker iter: 300, fitness 7.299588264144076\n", - "Duration: 91.6799588240101 s\n", - "f1 = 0.0866, mu2 = 2.6814, a3 = 0.8196\n", - " fun: 7.299588264144076\n", + "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 7.920305972892759\n", + "Worker iter: 100, fitness 7.678402654608155\n", + "Worker iter: 100, fitness 8.062857694678202\n", + "Worker iter: 100, fitness 7.880879816571422\n", + "Worker iter: 100, fitness 7.967996503137347\n", + "Worker iter: 100, fitness 8.345572341582287\n", + "Worker iter: 100, fitness 8.01258966133538\n", + "Worker iter: 100, fitness 8.306221184980167\n", + "Worker iter: 200, fitness 7.311156708375188\n", + "Worker iter: 200, fitness 7.311156708375188\n", + "Worker iter: 200, fitness 7.311156708375188\n", + "Worker iter: 200, fitness 7.311156708375188\n", + "Worker iter: 200, fitness 7.311156708375188\n", + "Worker iter: 200, fitness 7.311156708375188\n", + "Worker iter: 200, fitness 7.305272627348196\n", + "Worker iter: 200, fitness 7.305272627348196\n", + "Worker iter: 300, fitness 7.303258844231369\n", + "Worker iter: 300, fitness 7.303258844231369\n", + "Worker iter: 300, fitness 7.303258844231369\n", + "Worker iter: 300, fitness 7.303258844231369\n", + "Worker iter: 300, fitness 7.303258844231369\n", + "Worker iter: 300, fitness 7.303258844231369\n", + "Worker iter: 300, fitness 7.303258844231369\n", + "Duration: 204.139366409001 s\n", + "f1 = 0.0938, mu2 = 2.7522, a3 = 0.8266, \n", + " fun: 7.303258844231369\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 2194\n", - " nit: 72\n", + " nfev: 2434\n", + " nit: 80\n", " success: True\n", - " x: array([0.08658258, 2.68137888, 0.81957518])\n", + " x: array([0.09384962, 2.75217583, 0.82658061])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_dSPN_np3/figures\n", + "Creating figures directory networks/scan_iSPN_to_dSPN_f1_mu2_a3/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.000776044005760923 seconds\n", - "Created connection matrix 0.0028223010012879968 seconds\n", - "Created gap junction connection matrix 0.00010583398398011923 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008569629990233807 seconds\n", + "Created connection matrix 0.0031236989998433273 seconds\n", + "Created gap junction connection matrix 0.0005223140015004901 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 2481, at 0\n", - "Created distance histogram (optimised) in 0.002438133000396192 seconds\n", - "Saving cache to networks/iSPN_to_dSPN_np3/network-synapses.hdf5-cache\n", + "n_synapses = 2718, at 0\n", + "Created distance histogram (optimised) in 0.002894310999181471 seconds\n", + "Saving cache to networks/scan_iSPN_to_dSPN_f1_mu2_a3/network-synapses.hdf5-cache\n", "Plotting connection probability iSPN to dSPN (synapses)\n", "Centering in None : Keeping 75/75\n", "Counting connections\n", "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.23478260869565218\n", - "P(d<0.0001) = 0.14213068904144419\n" + "P(d<5e-05) = 0.2467391304347826\n", + "P(d<0.0001) = 0.14950419527078565\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np3/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_iSPN_to_dSPN_f1_mu2_a3/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 654 connections\n" + "Plotting 690 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np3/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n", + "Wrote networks/scan_iSPN_to_dSPN_f1_mu2_a3/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n", "Adding neurons: iSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", "Adding neurons: dSPN from dir /home/hjorth/HBP/BasalGangliaData/data/neurons/striatum/dspn\n", - "Writing networks/iSPN_to_dSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np4/network-config.json\n", - "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/iSPN_to_dSPN_np4/network-config.json\n", + "Writing networks/scan_iSPN_to_dSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_dSPN_f1_a3/network-config.json\n", + "Reading SNUDDA_DATA=../../../../BasalGangliaData/data/ from networks/scan_iSPN_to_dSPN_f1_a3/network-config.json\n", "No d_view specified, running distribute neurons in serial\n", "Processing hyper voxel : 31/125 (150 neurons)\n", "Processing hyper voxel : 36/125 (148 neurons)\n", @@ -8368,136 +4129,99 @@ "Read 72238 out of total 72238 synapses\n", "connectivity_distributions = {(2, 1, 10): (OrderedDict([('f1', 1.0), ('softMax', None), ('mu2', None), ('a3', None), ('distPruning', None), ('cluster', False)]), None)}\n", "type_id_lookup = {'dSPN': 1, 'iSPN': 2}\n", - "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.40010675493807013]}}}'\n", - "Worker iter: 100, fitness 7.299588264144076\n", - "Worker iter: 100, fitness 7.299588264144076\n", - "Worker iter: 100, fitness 7.299588264144076\n", - "Worker iter: 100, fitness 7.299588264144076\n", - "Worker iter: 100, fitness 7.299588264144076\n", - "Worker iter: 100, fitness 7.299588264144076\n", - "Worker iter: 100, fitness 7.299588264144076\n", - "Worker iter: 100, fitness 7.299588264144076\n", - "Worker iter: 200, fitness 7.299588264144076\n", - "Worker iter: 200, fitness 6.833603263976935\n", - "Worker iter: 200, fitness 6.641350602607762\n", - "Worker iter: 200, fitness 7.2222432708755555\n", - "Worker iter: 200, fitness 7.1386559865964525\n", - "Worker iter: 200, fitness 6.183461039586065\n", - "Worker iter: 200, fitness 6.841739102764735\n", - "Worker iter: 200, fitness 6.353114403459342\n", - "Worker iter: 300, fitness 6.361741806899483\n", - "Worker iter: 300, fitness 6.024070256984045\n", - "Worker iter: 300, fitness 6.47368849240093\n", - "Worker iter: 300, fitness 6.183461039586065\n", - "Worker iter: 300, fitness 5.90182854861576\n", - "Worker iter: 300, fitness 6.190461725718743\n", - "Worker iter: 300, fitness 6.028161330085821\n", - "Worker iter: 300, fitness 6.0549967983424295\n", - "Worker iter: 400, fitness 5.948630569710646\n", - "Worker iter: 400, fitness 5.8811031492284895\n", - "Worker iter: 400, fitness 5.770372714579557\n", - "Worker iter: 400, fitness 5.800342586757459\n", - "Worker iter: 400, fitness 5.800771958412053\n", - "Worker iter: 400, fitness 5.839796454753504\n", - "Worker iter: 400, fitness 5.73837632965102\n", - "Worker iter: 400, fitness 5.735162878653015\n", - "Worker iter: 500, fitness 5.732368738610499\n", - "Worker iter: 500, fitness 5.7322735115841414\n", - "Worker iter: 500, fitness 5.7322735115841414\n", - "Worker iter: 500, fitness 5.7322735115841414\n", - "Worker iter: 500, fitness 5.7322735115841414\n", - "Worker iter: 500, fitness 5.7322735115841414\n", - "Worker iter: 500, fitness 5.732368738610499\n", - "Worker iter: 500, fitness 5.731092293037131\n", - "Worker iter: 600, fitness 5.69781451778676Worker iter: 600, fitness 5.69781451778676\n", + "From hist_file: b'{\"iSPN$$dSPN\": {\"GABA\": {\"conductance\": [2.4e-10, 1e-10], \"channelParameters\": {\"modFile\": \"tmGabaA\"}, \"clusterSize\": 1, \"clusterSpread\": null, \"pruning\": {\"f1\": null, \"softMax\": null, \"mu2\": null, \"a3\": null, \"distPruning\": null, \"cluster\": false}, \"channelModelID\": 10, \"lognormal_mu_sigma\": [-22.230424900260093, 0.4001067549380701]}}}'\n", + "Worker iter: 100, fitness 7.303258844231369\n", + "Worker iter: 100, fitness 7.303258844231369\n", + "Worker iter: 100, fitness 7.303258844231369Worker iter: 100, fitness 7.303258844231369\n", "\n", - "Worker iter: 600, fitness 5.69781451778676\n", - "Worker iter: 600, fitness 5.69781451778676\n", - "Worker iter: 600, fitness 5.69781451778676\n", - "Worker iter: 600, fitness 5.69781451778676\n", - "Worker iter: 600, fitness 5.69781451778676\n", - "Worker iter: 600, fitness 5.69781451778676\n", - "Duration: 220.541668802005 s\n", - "f1 = 0.1522, softMax = 2.8204, mu2 = 2.5790, a3 = 0.4894\n", - " fun: 5.69781451778676\n", + "Worker iter: 100, fitness 7.303258844231369\n", + "Worker iter: 100, fitness 7.303258844231369\n", + "Worker iter: 100, fitness 7.303258844231369\n", + "Worker iter: 100, fitness 7.303258844231369\n", + "Duration: 79.39691140600007 s\n", + "f1 = 0.0316, a3 = 0.4853, \n", + " fun: 9.693309060906653\n", " message: 'Optimization terminated successfully.'\n", - " nfev: 4885\n", - " nit: 121\n", + " nfev: 1083\n", + " nit: 53\n", " success: True\n", - " x: array([0.15223109, 2.82042588, 2.57895272, 0.4894387 ])\n", + " x: array([0.03157381, 0.48530789])\n", "Assuming volume type: cube [cube or full]\n", "Only using 20000 neurons of the connection data\n", - "Creating figures directory networks/iSPN_to_dSPN_np4/figures\n", + "Creating figures directory networks/scan_iSPN_to_dSPN_f1_a3/figures\n", "Number of neurons: 150\n", - "Synapse row 0 - 0.0 % time: 0.0007853359857108444 seconds\n", - "Created connection matrix 0.0028080509800929576 seconds\n", - "Created gap junction connection matrix 0.00010716699762269855 seconds\n", + "Synapse row 0 - 0.0 % time: 0.0008353500015800819 seconds\n", + "Created connection matrix 0.002770518000033917 seconds\n", + "Created gap junction connection matrix 0.0004810369991901098 seconds\n", "Creating population dictionary\n", "Done.\n", "Warning: the analysis cube specified by sideLen is too large.\n", "!!! Setting sideLen to None\n", "Calculating synapse distance histogram\n", "Creating dist histogram\n", - "n_synapses = 2319, at 0\n", - "Created distance histogram (optimised) in 0.0022747160110156983 seconds\n", - "Saving cache to networks/iSPN_to_dSPN_np4/network-synapses.hdf5-cache\n", + "n_synapses = 1090, at 0\n", + "Created distance histogram (optimised) in 0.001846838998972089 seconds\n", + "Saving cache to networks/scan_iSPN_to_dSPN_f1_a3/network-synapses.hdf5-cache\n", "Plotting connection probability iSPN to dSPN (synapses)\n", "Centering in None : Keeping 75/75\n", "Counting connections\n", "Requested: 10000000.0 calculated [5625.]\n", - "P(d<5e-05) = 0.24130434782608695\n", - "P(d<0.0001) = 0.1474701245868294\n" + "P(d<5e-05) = 0.2358695652173913\n", + "P(d<0.0001) = 0.16857360793287568\n" ] }, { "data": { - "image/png": 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\n", 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\n", 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" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np4/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", + "Wrote networks/scan_iSPN_to_dSPN_f1_a3/figures/Network-distance-dependent-connection-probability-iSPN-to-dSPN-synapses-3D-dist.png\n", "Plotting number of connections\n", "Only analysing centre post synaptic neurons, sideLen = 0.00025\n", "Centering in None : Keeping 75/75\n", "Calculating max synapses\n", "Calculating mean synapses\n", - "Plotting 681 connections\n" + "Plotting 807 connections\n" ] }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" }, { "name": "stdout", "output_type": "stream", "text": [ - "Wrote networks/iSPN_to_dSPN_np4/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n" + "Wrote networks/scan_iSPN_to_dSPN_f1_a3/figures/Network-number-of-synapses-from-iSPN-to-dSPN-per-cell.png\n" ] } ], "source": [ - "\n", "for ct in con_types:\n", " \n", " OptimisePruning.op = None\n", " \n", " for dist_dep in [True, False]:\n", - " for num_params in [1, 2, 3, 4]:\n", + " for param_names in param_sets:\n", "\n", " pre_type = ct[0]\n", " post_type = ct[1]\n", @@ -8516,8 +4240,9 @@ " # No distance dependent pruning available for this neuron type, set it to False\n", " distance_dependent_pruning = False\n", "\n", - " dd_str = \"_dd\" if distance_dependent_pruning else \"\"\n", - " network_path = os.path.join(\"networks\", f\"{pre_type}_to_{post_type}_np{num_params}{dd_str}\")\n", + " dd_str = \"_distdep\" if distance_dependent_pruning else \"\"\n", + " par_str = \"_\".join(param_names) + dd_str\n", + " network_path = os.path.join(\"networks\", f\"scan_{pre_type}_to_{post_type}_{par_str}\")\n", "\n", " experimental_data = all_experimental_data[pre_type, post_type]\n", "\n", @@ -8575,22 +4300,15 @@ " experimental_data=experimental_data,\n", " avg_num_synapses_per_pair=avg_num_synapses_per_pair,\n", " extra_pruning_parameters=extra_pruning_parameters,\n", - " workers=8, maxiter=1000, tol=0.00001, num_params=num_params)\n", - "\n", - " if num_params == 1:\n", - " param_str = f\"f1 = %.4f\" % (res.x[0])\n", - " elif num_params == 2:\n", - " param_str = f\"f1 = %.4f, mu2 = %.4f\" % (res.x[0], res.x[1])\n", - " elif num_params == 3:\n", - " param_str = f\"f1 = %.4f, mu2 = %.4f, a3 = %.4f\" % (res.x[0], res.x[1], res.x[2])\n", - " elif num_params == 4:\n", - " param_str = f\"f1 = %.4f, softMax = %.4f, mu2 = %.4f, a3 = %.4f\" % (res.x[0], res.x[1], res.x[2], res.x[3])\n", - " else:\n", - " param_str = res.x\n", + " workers=8, maxiter=1000, tol=0.00001, param_names=param_names, param_bounds=\"default\")\n", "\n", + " param_str = \"\"\n", + " for p_name, p_val in zip(param_names, res.x):\n", + " param_str += f\"{p_name} = {p_val:.4f}, \"\n", + " \n", " if \"distPruning\" in extra_pruning_parameters:\n", - " param_str += f\" ({extra_pruning_parameters['distPruning']})\"\n", - "\n", + " param_str += f\" ({extra_pruning_parameters['distPruning']})\" \n", + " \n", " print(param_str)\n", " print(res)\n", "\n",