{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "0b85a598",
"metadata": {},
"outputs": [],
"source": [
"from brian2 import *\n",
"\n",
"from adex_sine import *\n",
"\n",
"defaultclock.dt = 10 * us\n",
"\n",
"\n",
"class Model:\n",
" # Model type flags\n",
" SINE = 0\n",
" EXP2SYN = 1\n",
"\n",
" # Noise flags\n",
" HIGH = 0\n",
" LOW = 1\n",
" OFF = -1\n",
"\n",
" # Noise parameters\n",
" EXCITATORY_NOISE_VARIANCE = {HIGH: 0.5 * nS, LOW: 0.25 * nS, OFF: 0 * nS}\n",
" INHIBITORY_NOISE_VARIANCE = {HIGH: 1.25 * nS, LOW: 0.625 * nS, OFF: 0 * nS}\n",
"\n",
" # Noise mean conductance\n",
" EXCITATORY_CONDUCTANCE = 1 * nS\n",
" INHIBITORY_CONDUCTANCE = 4 * nS\n",
"\n",
" DEFAULT_PARAMETERS = {\n",
" \"sigma_flux\" : 6.75*pA, \n",
" \"c\": 85 * pF,\n",
" \"tau_w\": 18 * ms,\n",
" \"b\": 0.25 * nA,\n",
" \"a\": 1.3 * nS,\n",
" \"v_T\": -45 * mV,\n",
" \"v_thresh\": 0 * mV,\n",
" \"DeltaT\": 0.2 * mV,\n",
" # EQUILIBRIUM POTENTIAL\n",
" \"e_l\": -65 * mV,\n",
" \"e_ex\": 0 * mV,\n",
" \"e_in\": -70 * mV,\n",
" # CONDUCTANCES\n",
" \"g_l\": 3 * nS,\n",
" \"mu_ex\": 0 * nS,\n",
" \"mu_in\": 0 * nS,\n",
" # EXCITATORY NOISE\n",
" \"sigma_ex\": 0 * nS,\n",
" \"tau_noise_ex\": 3 * ms,\n",
" # INHIBITORY NOISE\n",
" \"sigma_in\": 0 * nS,\n",
" \"tau_noise_in\": 10 * ms,\n",
" # SINE INPUT\n",
" \"f\": 100 * Hz,\n",
" \"A\": 0 * pA,\n",
" \"i_injected\": 0 * pA,\n",
" \"v_reset\": -70 * mV,\n",
" # m current\n",
" \"g_adapt\": 10 * nS,\n",
" \"e_k\": -90*mV,\n",
" \"beta_z\": -35*mV,\n",
" \"gamma_z\": 4*mV, #5\n",
" \"tau_z\": 100*ms,\n",
" }\n",
"\n",
" def __init__(\n",
" self, n, *, stim=None, noise=None, resistance=None, additional_vars=()\n",
" ):\n",
" if resistance is None:\n",
" raise ValueError(\"Resistance must be specified\")\n",
"\n",
" if noise is None:\n",
" raise ValueError(\"Noise must be specified\")\n",
"\n",
" self.stim_type = stim\n",
" self._input_resistance = None\n",
" self._noise_level = None\n",
" self._duration = 0\n",
" self.recorded_vars = (\"v\",) + additional_vars\n",
"\n",
" self.neurons = self.set_default(n_neuron=n)\n",
" self.set_resistance(resistance)\n",
" self.set_noise(noise)\n",
"\n",
" self.spikes = None\n",
" self.spiker = None\n",
" self.synapses = None\n",
" self.inhib_synapses = None\n",
" self.smon = None\n",
" self.network = None\n",
" self.build_network()\n",
"\n",
" def create_model(self):\n",
" return ADEX_MODEL, self.DEFAULT_PARAMETERS\n",
"\n",
" def set_default(self, n_neuron):\n",
" model, parameters = self.create_model()\n",
"\n",
" neurons = NeuronGroup(\n",
" n_neuron,\n",
" model=model,\n",
" method=\"Euler\",\n",
" name=\"neurons\",\n",
" threshold=\"v > v_thresh\",\n",
" reset=\"v = v_reset; w += b\",\n",
" )\n",
"\n",
" for parameter, value in parameters.items():\n",
" neurons.__setattr__(parameter, value)\n",
"\n",
" neurons.v = neurons.e_l # remove most of transient\n",
"\n",
" return neurons\n",
"\n",
" def set_resistance(self, level):\n",
" if level == self.LOW:\n",
" exc_conductance = self.EXCITATORY_CONDUCTANCE\n",
" inhib_conductance = self.INHIBITORY_CONDUCTANCE\n",
"\n",
" else:\n",
" exc_conductance = inhib_conductance = 0\n",
"\n",
" self._input_resistance = level\n",
" self._set_variable(\"mu_ex\", exc_conductance)\n",
" self._set_variable(\"mu_in\", inhib_conductance)\n",
"\n",
" def set_noise(self, level):\n",
" if level == self.HIGH or level == self.LOW:\n",
" exc_noise = self.EXCITATORY_NOISE_VARIANCE[level]\n",
" inhib_noise = self.INHIBITORY_NOISE_VARIANCE[level]\n",
"\n",
" else:\n",
" exc_noise = inhib_noise = 0\n",
"\n",
" self._noise_level = level\n",
" self._set_variable(\"sigma_ex\", exc_noise)\n",
" self._set_variable(\"sigma_in\", inhib_noise)\n",
"\n",
" def set_injected_current(self, amplitude):\n",
" self._set_variable(\"i_injected\", amplitude)\n",
" self._set_variable(\"A\", 0 * pA)\n",
"\n",
" def set_stimulus_current(self, amplitude):\n",
" self._set_variable(\"A\", amplitude)\n",
" self._set_variable(\"i_injected\", 0 * pA)\n",
"\n",
" @property\n",
" def f(self):\n",
" return self.neurons.f\n",
"\n",
" @f.setter\n",
" def f(self, new_f):\n",
" self._set_variable(\"f\", new_f) # this will reset smon\n",
" if self.stim_type == self.EXP2SYN:\n",
" self.spiker.T = 1 / new_f\n",
"\n",
" def run(self, duration, report=\"stdout\"):\n",
" self._duration = duration\n",
" self.network.run(duration, report=report)\n",
"\n",
" def build_network(self):\n",
" self.smon = StateMonitor(\n",
" self.neurons, self.recorded_vars, record=True, name=\"smon\"\n",
" )\n",
" self.spikes = SpikeMonitor(self.neurons, name=\"spikes\")\n",
"\n",
" self.network = Network(self.neurons, self.smon, self.spikes)\n",
"\n",
" def _set_variable(self, name, value):\n",
" self.neurons.__setattr__(name, value)\n",
" self.reset_recording()\n",
"\n",
" def reset_recording(self):\n",
" try:\n",
" self.network\n",
" except AttributeError:\n",
" return # network not yet initialized\n",
"\n",
" self.network.remove(self.smon, self.spikes)\n",
"\n",
" self.smon = StateMonitor(\n",
" self.neurons, self.recorded_vars, record=True, name=\"smon\"\n",
" )\n",
" self.spikes = SpikeMonitor(self.neurons, name=\"spikes\")\n",
"\n",
" self.network.add(self.smon, self.spikes)\n",
"\n",
" @property\n",
" def spike_train(self):\n",
" return self.spikes.spike_trains()\n",
"\n",
" @property\n",
" def firing_rate(self):\n",
" return self.spikes.count / self.duration\n",
"\n",
" @property\n",
" def duration(self):\n",
" return self._duration\n",
"\n",
" @property\n",
" def input_resistance(self):\n",
" if self._input_resistance == self.HIGH:\n",
" return \"HIGH\"\n",
" else:\n",
" return \"LOW\"\n",
"\n",
" @property\n",
" def noise_level(self):\n",
" if self._noise_level == self.HIGH:\n",
" return \"HIGH\"\n",
" elif self._noise_level == self.LOW:\n",
" return \"LOW\"\n",
" else:\n",
" return \"NO\"\n",
"\n",
" def __repr__(self):\n",
" return f\"{self.neurons.N} Neurons with {self.input_resistance} input resistance and {self.noise_level} noise\"\n",
"\n",
" def __str__(self):\n",
" return self.__repr__()\n",
"\n",
" def store(self, name):\n",
" self.network.store(name)\n",
"\n",
" def restore(self, name):\n",
" self.network.restore(name)\n",
"\n",
" @property\n",
" def v(self):\n",
" return self.smon.v\n",
"\n",
" @property\n",
" def t(self):\n",
" return self.smon.t\n",
"\n",
" @property\n",
" def injected_current(self):\n",
" return self.neurons.i_injected\n",
"\n",
" @property\n",
" def stimulus_amplitude(self):\n",
" return self.neurons.A\n",
"\n",
"\n",
"class CurrentModel(Model):\n",
" def __init__(self, **kwargs):\n",
" super().__init__(stim=self.SINE, **kwargs)\n",
"\n",
" def create_model(self):\n",
" model, parameters = super().create_model()\n",
" model += CURRENT_INPUT\n",
"\n",
" return model, parameters\n",
"\n",
"\n",
"class SineModel(CurrentModel):\n",
" def create_model(self):\n",
" model, parameters = super().create_model()\n",
" model += SINE_INPUT\n",
"\n",
" return model, parameters\n",
"\n",
"\n",
"class SawModel(CurrentModel):\n",
" def create_model(self):\n",
" model, parameters = super().create_model()\n",
" model += SAW_INPUT\n",
"\n",
" return model, parameters\n",
"\n",
"\n",
"class SynapticModel(Model):\n",
" def __init__(self, **kwargs):\n",
" super().__init__(stim=self.EXP2SYN, **kwargs)\n",
"\n",
" SYNAPTIC_PARAMETERS = {\n",
" \"tau_input_1\": 0.4 * ms,\n",
" \"tau_input_2\": 4 * ms,\n",
" \"offset_A\": 1.48793507e-11,\n",
" \"offset_B\": -2.66359562e-08,\n",
" \"offset_C\": 1.77538800e-05,\n",
" \"offset_D\": -8.05925810e-04,\n",
" \"offset_E\": -3.51463644e-02,\n",
" \"offset_switch\": 0,\n",
" }\n",
"\n",
" def create_model(self):\n",
" model, parameters = super().create_model()\n",
" model += EXP2SYN_WAVEFORM + SUMMATION_OFFSET\n",
" parameters = {**parameters, **self.SYNAPTIC_PARAMETERS}\n",
"\n",
" return model, parameters\n",
"\n",
" def build_network(self):\n",
" super().build_network()\n",
" self.spiker = NeuronGroup(\n",
" self.neurons.N,\n",
" \"\"\"T : second (constant)\n",
" lastspike : second\"\"\",\n",
" threshold=\"timestep(t-lastspike, dt)>=timestep(T, dt)\",\n",
" reset=\"lastspike=t\",\n",
" )\n",
" self.spiker.T = 1 / self.neurons.f\n",
" self.synapses = Synapses(\n",
" self.spiker, self.neurons, on_pre=\"input_aux += 1\"\n",
" ) # connect input to neurons\n",
" self.synapses.connect(\"i==j\") # one synapse goes to one neuron\n",
"\n",
" self.network.add(self.spiker, self.synapses)\n",
"\n",
"\n",
"class SynapticCurrentModel(SynapticModel):\n",
" def __init__(self, offset=True, **kwargs):\n",
" self.offset = 1 if offset else 0\n",
" super().__init__(**kwargs)\n",
"\n",
" def create_model(self):\n",
" model, parameters = super().create_model()\n",
" model += CURRENT_INPUT + SYNAPTIC_INPUT_CURRENT\n",
" parameters = {**parameters, **{\"offset_switch\": self.offset}}\n",
"\n",
" return model, parameters\n",
"\n",
"\n",
"class SynapticConductanceModel(SynapticModel):\n",
" FLAT = 0\n",
" ACTIVE = 1\n",
"\n",
" CONDUCTANCE_PARAMETERS = {\n",
" \"A\": 0 * nS, # overwrite A to be conductance\n",
" \"g_i\": 1 * nS,\n",
" }\n",
"\n",
" INHIBITION_PARAMETERS = {\n",
" \"tau_inhibition_1\": 1 * ms,\n",
" \"tau_inhibition_2\": 10 * ms,\n",
" }\n",
"\n",
" def __init__(self, offset=ACTIVE, **kwargs):\n",
" self.offset = offset\n",
" super().__init__(**kwargs)\n",
"\n",
" def create_model(self):\n",
" model, parameters = super().create_model()\n",
" if self.offset == self.FLAT:\n",
" model += CONDUCTANCE_INPUT + SYNAPTIC_CONDUCTANCE_FLAT\n",
" parameters = {\n",
" **parameters,\n",
" **self.SYNAPTIC_PARAMETERS,\n",
" **self.CONDUCTANCE_PARAMETERS,\n",
" **{\"offset_switch\": 1},\n",
" }\n",
"\n",
" elif self.offset == self.ACTIVE:\n",
" model += CONDUCTANCE_INPUT + SYNAPTIC_CONDUCTANCE_STIM\n",
" parameters = {\n",
" **parameters,\n",
" **self.SYNAPTIC_PARAMETERS,\n",
" **self.CONDUCTANCE_PARAMETERS,\n",
" **self.INHIBITION_PARAMETERS,\n",
" }\n",
"\n",
" return model, parameters\n",
"\n",
" def build_network(self):\n",
" super().build_network()\n",
" if self.offset != self.ACTIVE:\n",
" return\n",
"\n",
" self.inhib_synapses = Synapses(\n",
" self.spiker, self.neurons, on_pre=\"input_inhib_aux += 1\", delay=2 * ms\n",
" ) # connect input to neurons\n",
" self.inhib_synapses.connect(\"i==j\") # one synapse goes to one neuron\n",
"\n",
" self.network.add(self.inhib_synapses)"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "c82769f2",
"metadata": {
"scrolled": false
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING Cannot use Cython, a test compilation failed: Microsoft Visual C++ 14.0 or greater is required. Get it with \"Microsoft C++ Build Tools\": https://visualstudio.microsoft.com/visual-cpp-build-tools/ (DistutilsPlatformError) [brian2.codegen.runtime.cython_rt.cython_rt.failed_compile_test]\n",
"INFO Cannot use compiled code, falling back to the numpy code generation target. Note that this will likely be slower than using compiled code. Set the code generation to numpy manually to avoid this message:\n",
"prefs.codegen.target = \"numpy\" [brian2.devices.device.codegen_fallback]\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"Starting simulation at t=0. s for a duration of 12. s\n",
"0.56782 s (4%) simulated in 10s, estimated 3m 21s remaining.\n",
"1.12396 s (9%) simulated in 20s, estimated 3m 14s remaining.\n",
"1.65396 s (13%) simulated in 30s, estimated 3m 8s remaining.\n",
"2.18671 s (18%) simulated in 40s, estimated 3m 0s remaining.\n",
"2.71025 s (22%) simulated in 50s, estimated 2m 51s remaining.\n",
"3.23644 s (26%) simulated in 1m 0s, estimated 2m 43s remaining.\n",
"3.74402 s (31%) simulated in 1m 10s, estimated 2m 34s remaining.\n",
"4.26756 s (35%) simulated in 1m 20s, estimated 2m 25s remaining.\n",
"4.79251 s (39%) simulated in 1m 30s, estimated 2m 15s remaining.\n",
"5.31002 s (44%) simulated in 1m 40s, estimated 2m 6s remaining.\n",
"5.82774 s (48%) simulated in 1m 50s, estimated 1m 57s remaining.\n",
"6.35329 s (52%) simulated in 2m 0s, estimated 1m 47s remaining.\n",
"6.87544 s (57%) simulated in 2m 10s, estimated 1m 37s remaining.\n",
"7.39943 s (61%) simulated in 2m 20s, estimated 1m 27s remaining.\n",
"7.92357 s (66%) simulated in 2m 30s, estimated 1m 17s remaining.\n",
"8.44624 s (70%) simulated in 2m 40s, estimated 1m 7s remaining.\n",
"8.96679 s (74%) simulated in 2m 50s, estimated 58s remaining.\n",
"9.48973 s (79%) simulated in 3m 0s, estimated 48s remaining.\n",
"10.0093 s (83%) simulated in 3m 10s, estimated 38s remaining.\n",
"10.52858 s (87%) simulated in 3m 20s, estimated 28s remaining.\n",
"11.05162 s (92%) simulated in 3m 30s, estimated 18s remaining.\n",
"11.56566 s (96%) simulated in 3m 40s, estimated 8s remaining.\n",
"12. s (100%) simulated in 3m 48s\n"
]
},
{
"data": {
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},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"#from models import Model, SynapticConductanceModel\n",
"from brian2 import *\n",
"import numpy as np\n",
"import matplotlib.pyplot as plt\n",
"\n",
"\n",
"model = SynapticConductanceModel(resistance=Model.LOW, # Model.LOW, Model.HIGH\n",
" noise=Model.HIGH, n=50, # Model.OFF, Model.LOW, Model,HIGH\n",
" offset=SynapticConductanceModel.ACTIVE)\n",
"\n",
"\n",
"# model = SineModel(resistance=Model.LOW, # Model.LOW, Model.HIGH\n",
"# noise=Model.OFF, n=1, # Model.OFF, Model.LOW, Model,HIGH\n",
"# )\n",
"\n",
"\n",
"model.f = 400 * Hz\n",
"model.set_stimulus_current(400 * nS) # current should be scaled by 100x for Active Offset so (500nS is actually 5nS)\n",
"model._set_variable(\"i_injected\", 90 * pA)\n",
"\n",
"\n",
"model.run(12*second)\n",
"\n",
"spike_times = [s/ms for s in model.spike_train.values()]\n",
"\n",
"plt.eventplot(spike_times)\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "7f22e21e",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"[array([ 15.34, 130.32, 182.22, 245.58, 313.32, 394.31,\n",
" 445.78, 586.66, 647.62, 691.33, 727.82, 814.44,\n",
" 863.09, 921.8 , 999.97, 1056.38, 1097.81, 1140.96,\n",
" 1230.82, 1283.28, 1323.63, 1391.18, 1451.28, 1555.38,\n",
" 1629.8 , 1711.19, 1809. , 1868.87, 1913.85, 2012.41,\n",
" 2057.3 , 2091.1 , 2162.05, 2214.18, 2265.58, 2336.25,\n",
" 2384.51, 2456.66, 2506.09, 2599.05, 2653.04, 2709.74,\n",
" 2758.54, 2838.7 , 2897.9 , 2943. , 2982.4 , 3039.5 ,\n",
" 3089.56, 3149.58, 3228. , 3266.18, 3327.97, 3403.39,\n",
" 3452.98, 3492.73, 3546.19, 3603.67, 3668.9 , 3706.41,\n",
" 3767.28, 3807.44, 3850.33, 3898.95, 3950.52, 4026.72,\n",
" 4084.95, 4157.52, 4225.26, 4271.07, 4321.53, 4390.39,\n",
" 4469.46, 4512.87, 4565.35, 4623.92, 4704.61, 4759.05,\n",
" 4830.71, 4872.5 , 4948.58, 5055.41, 5150.9 , 5194.99,\n",
" 5243.9 , 5290.61, 5337.42, 5389.45, 5467.18, 5526.58,\n",
" 5602.01, 5670.53, 5735.81, 5825.81, 5884.51, 5942.41,\n",
" 6069.28, 6125.42, 6207.15, 6289.52, 6398.83, 6453.35,\n",
" 6502.99, 6543.65, 6608.61, 6674.97, 6778.14, 6821.19,\n",
" 6865.56, 6943.66, 7019.36, 7096.03, 7151.18, 7211.39,\n",
" 7301.97, 7344.84, 7404.43, 7483.43, 7521.66, 7593.98,\n",
" 7647.57, 7728.43, 7788.36, 7843.77, 7890.99, 7933.43,\n",
" 8001.13, 8078.35, 8138.9 , 8199.85, 8254.61, 8320.3 ,\n",
" 8381.51, 8430.23, 8506.18, 8602.89, 8646.45, 8700.29,\n",
" 8754.49, 8797.71, 8841.7 , 8910.77, 8993.55, 9040.07,\n",
" 9086.27, 9134.16, 9206.42, 9264.84, 9343.47, 9511.02,\n",
" 9558.43, 9603.14, 9642.18, 9725.72, 9776.68, 9830.45,\n",
" 9876.99, 9942.88, 10009.58, 10080.33, 10126.11, 10159.58,\n",
" 10206.61, 10271.68, 10332.06, 10397.96, 10454.64, 10560.41,\n",
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" 11361.49, 11408.95, 11531.92, 11590.09, 11651.21, 11858.27,\n",
" 11924.42]), array([ 12.91, 94.74, 159.28, 205.92, 248.62, 291.77,\n",
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" 1231.85, 1286.45, 1359.38, 1407.88, 1441.55, 1527.5 ,\n",
" 1586.27, 1654.99, 1737.43, 1802.68, 1872.46, 1915.59,\n",
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" 2947.71, 2990.62, 3047.8 , 3111.32, 3168.57, 3214.75,\n",
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" 7663.82, 7740.41, 7785.98, 7853.79, 8010.46, 8084.7 ,\n",
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" 10257.79, 10317.07, 10394.35, 10434.91, 10480.7 , 10538.12,\n",
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" 11682.52, 11743.7 , 11861.87, 11907.87, 11948.76]), array([ 13.15, 65.14, 97.13, 140.32, 272.14, 335.7 ,\n",
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" 5860.56, 5913.88, 5970.45, 6059.5 , 6107.05, 6177.74,\n",
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" 6537.52, 6572.41, 6656.32, 6698.92, 6747.25, 6833.4 ,\n",
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" 8467.62, 8523.36, 8565.21, 8650.81, 8730.9 , 8776.1 ,\n",
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" 11423.14, 11473.72, 11535.98, 11614.91, 11733.23, 11803.11,\n",
" 11934.2 , 11983.43]), array([ 20.02, 74.64, 119.75, 160.59, 221.13, 291.61,\n",
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" 1618.32, 1666.18, 1717.8 , 1770.86, 1853.41, 1902.01,\n",
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" 4957.72, 5026.39, 5100.48, 5141. , 5208.19, 5256.64,\n",
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" 11986.48]), array([ 12.54, 76.93, 123.9 , 175.92, 253.26, 297.24,\n",
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" 1241.36, 1308.82, 1366.54, 1441.92, 1498.4 , 1566.33,\n",
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" 7483.23, 7582.04, 7681.8 , 7744.79, 7798.84, 7886.7 ,\n",
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" 11286.66, 11360.96, 11408.39, 11463.62, 11532.41, 11570.02,\n",
" 11613.5 , 11673.34, 11794. , 11908.46]), array([ 12.95, 68.23, 144.64, 183.33, 228.47, 304.62,\n",
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" 1162.02, 1198.94, 1252.25, 1296.78, 1341.08, 1431.7 ,\n",
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" 5158.96, 5240.63, 5285.89, 5333.65, 5382.19, 5427.1 ,\n",
" 5493.53, 5559.09, 5692.17, 5751.66, 5797.24, 5844.24,\n",
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" 8638.86, 8684.06, 8730.69, 8795.65, 8849.56, 8893.6 ,\n",
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" 11478.74, 11541.38, 11587. , 11646.45, 11709.96, 11745.76,\n",
" 11795.72, 11914.93, 11977.7 ]), array([ 14.88, 52.69, 91.32, 173.22, 218.35, 259.23,\n",
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" 2168.24, 2226.74, 2276.01, 2339.99, 2409.58, 2502.6 ,\n",
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" 5715.43, 5795.76, 5856.26, 5966.74, 6014.02, 6052. ,\n",
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" 8163.86, 8227.16, 8291.82, 8378.29, 8516.42, 8581.2 ,\n",
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" 9040.86, 9089.12, 9132.25, 9203.42, 9291.6 , 9364.8 ,\n",
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" 11220.83, 11264.32, 11315.36, 11440.87, 11486.68, 11531.71,\n",
" 11578.46, 11628.4 , 11749.73, 11817.83, 11863.86, 11940.82,\n",
" 11982.32]), array([1.179000e+01, 5.125000e+01, 9.452000e+01, 1.959500e+02,\n",
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" 6.466100e+02, 7.017300e+02, 7.560700e+02, 7.990200e+02,\n",
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" 2.846800e+03, 2.939500e+03, 3.002960e+03, 3.059580e+03,\n",
" 3.124070e+03, 3.175710e+03, 3.229380e+03, 3.272430e+03,\n",
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" 1.174132e+04, 1.181500e+04, 1.190732e+04, 1.196230e+04]), array([ 29.31, 74.98, 126.1 , 205.21, 260.29, 309.5 ,\n",
" 392.94, 471.12, 529.01, 610.8 , 671.6 , 722.06,\n",
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" 3704.2 , 3740.7 , 3794.38, 3843.79, 3884.81, 3923.7 ,\n",
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" 5034.71, 5104.48, 5183.54, 5246.42, 5291.54, 5340.9 ,\n",
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" 6591.65, 6703.82, 6762.01, 6804.15, 6901.62, 6946.8 ,\n",
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" 11467.81, 11511.01, 11571.53, 11629.78, 11684.31, 11736.41,\n",
" 11790.68, 11848.74, 11886.75, 11936.91, 11985.54]), array([ 22.3 , 69.03, 148.49, 224.68, 279.33, 333.73,\n",
" 386.31, 433.69, 485.14, 580.54, 648.78, 713.7 ,\n",
" 762.83, 891.79, 980.59, 1051.14, 1090.6 , 1139.84,\n",
" 1232.66, 1273.3 , 1320.27, 1385. , 1460.34, 1515.48,\n",
" 1581.52, 1624.46, 1691.93, 1770.48, 1828.66, 1898. ,\n",
" 1998.05, 2064.75, 2121.08, 2182.42, 2224.29, 2273.46,\n",
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" 3096.77, 3138.61, 3191.48, 3244.95, 3291.81, 3368.29,\n",
" 3419.9 , 3487.89, 3557.73, 3613.98, 3657.62, 3757.55,\n",
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" 4499.04, 4543.63, 4591.16, 4651.13, 4688.81, 4732.2 ,\n",
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" 6234.89, 6295.76, 6413.97, 6513.05, 6571.19, 6634.3 ,\n",
" 6705.89, 6751.68, 6846.84, 6907.17, 6952. , 7009.02,\n",
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" 8088.44, 8144.22, 8201.55, 8247.44, 8302. , 8361.52,\n",
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" 9394.77, 9447.73, 9593.11, 9694.42, 9801.89, 9843.69,\n",
" 9935.99, 10013.71, 10076.05, 10154.17, 10199. , 10316.6 ,\n",
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" 11161.11, 11216.2 , 11271.95, 11318.76, 11418.78, 11528.3 ,\n",
" 11630.05, 11713.8 , 11759.41, 11890.15, 11921.19, 11963.87]), array([1.063000e+01, 9.979000e+01, 1.763800e+02, 2.955900e+02,\n",
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" 1.186991e+04, 1.192195e+04, 1.196878e+04]), array([ 14.94, 59.38, 110.08, 181.7 , 252.21, 290.64,\n",
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" 1089.89, 1161.72, 1200.5 , 1287.3 , 1408.19, 1505.89,\n",
" 1548.87, 1635.69, 1720.68, 1774.16, 1826.71, 1890.61,\n",
" 2001.75, 2066.1 , 2120.63, 2185.91, 2303.74, 2389.81,\n",
" 2455.54, 2509.25, 2546.6 , 2600.55, 2649.2 , 2756.06,\n",
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" 3225.27, 3265.31, 3320.97, 3389.89, 3458.68, 3572.25,\n",
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" 5150.85, 5207.04, 5258.87, 5314.07, 5372.83, 5448.88,\n",
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" 8613.04, 8680.56, 8736.07, 8806.76, 8891.72, 8955.87,\n",
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" 9745.42, 9846.23, 9927.77, 9990.13, 10073.72, 10117.19,\n",
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" 11380.43, 11460.94, 11500.6 , 11577.44, 11673.45, 11729.41,\n",
" 11796.99, 11853.24, 11906.18, 11979.79]), array([ 16.14, 61.52, 105.18, 148.73, 199.03, 253.48,\n",
" 319.48, 429.25, 506. , 549.25, 598.51, 668.88,\n",
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" 1123.38, 1186.83, 1248.64, 1338.58, 1395.05, 1444.45,\n",
" 1513.1 , 1598.29, 1693.02, 1818.75, 1863.87, 1922.9 ,\n",
" 1992.3 , 2049.1 , 2121.67, 2163.97, 2219.27, 2266.64,\n",
" 2311.87, 2430.12, 2478.79, 2543.69, 2586.01, 2680.18,\n",
" 2765.63, 2809.34, 2907.01, 2951.44, 2989.16, 3034.22,\n",
" 3114.18, 3176.28, 3229.19, 3291. , 3380.7 , 3501.72,\n",
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" 4536.74, 4581.99, 4714.96, 4770.43, 4829.53, 4909.6 ,\n",
" 4976.32, 5019.09, 5086.15, 5190.21, 5255.23, 5319.14,\n",
" 5386.37, 5432.66, 5495.61, 5539.38, 5596. , 5645.31,\n",
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" 7067.54, 7117.92, 7171.02, 7220.96, 7302.6 , 7374.54,\n",
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" 10450.6 , 10533.21, 10620.21, 10656.35, 10826.18, 10924.4 ,\n",
" 10969.18, 11042.68, 11139.89, 11178.53, 11230.77, 11279.27,\n",
" 11380.29, 11505.79, 11559.55, 11601.01, 11647.35, 11717.4 ,\n",
" 11755.33, 11868.32, 11923.93]), array([ 21.45, 62.37, 101.19, 161.92, 208.53, 276.1 ,\n",
" 365.15, 412.24, 455.68, 506.25, 563.26, 611.95,\n",
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" 1050.19, 1091.25, 1171.09, 1221.6 , 1255.06, 1296.4 ,\n",
" 1355.31, 1445.46, 1492.14, 1561.55, 1608.2 , 1671.48,\n",
" 1786.99, 1843.86, 1938.85, 1985.59, 2076.16, 2126.43,\n",
" 2167.93, 2225.39, 2297.3 , 2347.23, 2388.8 , 2466.19,\n",
" 2536.55, 2588.23, 2645.49, 2689.06, 2785.13, 2840.88,\n",
" 2894.03, 2948.73, 3070.84, 3131.68, 3179.3 , 3216.39,\n",
" 3257.98, 3376.75, 3441.26, 3491.16, 3552.77, 3612.1 ,\n",
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" 4021.52, 4083.58, 4117.24, 4175.87, 4259.22, 4389.51,\n",
" 4508.48, 4548.93, 4600.12, 4705.75, 4756.65, 4829.01,\n",
" 4933.94, 4970.86, 5032.24, 5104.17, 5143.03, 5191.95,\n",
" 5283.14, 5366.1 , 5406.05, 5473.74, 5508.72, 5558.5 ,\n",
" 5613.56, 5679.83, 5765.75, 5873.57, 5944.38, 6008.45,\n",
" 6047.29, 6093.51, 6171.44, 6266.86, 6315.97, 6386.97,\n",
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" 7746.69, 7788.19, 7828.15, 7896.13, 7966.19, 8043.51,\n",
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" 8945.52, 9010.44, 9056.96, 9099.74, 9150.6 , 9244.57,\n",
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" 10112.29, 10164.13, 10254.84, 10354.32, 10400.01, 10444.34,\n",
" 10506.16, 10566.26, 10611.47, 10660.11, 10710.39, 10758.21,\n",
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" 11530.36, 11580.03, 11649.25, 11730.25, 11796.13, 11831.8 ,\n",
" 11891.8 , 11945.91, 11995.33]), array([ 13.41, 91.33, 148.96, 203.57, 255.92, 321.76,\n",
" 369.51, 531.05, 598.84, 671.41, 713.47, 782.16,\n",
" 856.19, 908.05, 953.35, 1047.62, 1136.5 , 1178.27,\n",
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" 1651.57, 1792.74, 1853.69, 1899.47, 2010.26, 2081.98,\n",
" 2136.87, 2184.75, 2227.83, 2283.66, 2343.53, 2398.49,\n",
" 2446.08, 2502.05, 2604.78, 2661.35, 2713.97, 2766.58,\n",
" 2826.68, 2871.32, 2926.27, 3010.26, 3061.46, 3114.45,\n",
" 3226.63, 3293.53, 3352.31, 3445.24, 3525.09, 3601.28,\n",
" 3681.63, 3748.11, 3796.91, 3835.84, 3922.3 , 3967.59,\n",
" 4044.77, 4079.9 , 4149.07, 4204.35, 4238.85, 4302.92,\n",
" 4409.4 , 4497.96, 4570.33, 4638.88, 4685.85, 4735.13,\n",
" 4787.42, 4840.53, 4912.14, 4952.74, 5128.75, 5200.68,\n",
" 5244.86, 5306.26, 5336.65, 5437.26, 5541.95, 5612.36,\n",
" 5661.38, 5756.81, 5832.16, 5884.72, 5926.53, 5968.72,\n",
" 6051.37, 6112. , 6174.65, 6318.39, 6367.72, 6403.86,\n",
" 6483.43, 6536.19, 6602.63, 6673.89, 6723.84, 6836.22,\n",
" 6866.7 , 6941.48, 6988.55, 7033.27, 7093.59, 7138.8 ,\n",
" 7189.89, 7231.61, 7274.95, 7322. , 7383.54, 7429.09,\n",
" 7496.49, 7559.93, 7616.23, 7650.54, 7715.69, 7766.4 ,\n",
" 7897.96, 7930.53, 8001.63, 8037.57, 8120.8 , 8181.91,\n",
" 8258.14, 8333.42, 8387.76, 8459.27, 8500.25, 8574.01,\n",
" 8626.72, 8698.42, 8731.87, 8808.53, 8899.27, 8949.86,\n",
" 9005.36, 9042.51, 9114.46, 9159.46, 9266.16, 9311.73,\n",
" 9392.51, 9451.33, 9526.54, 9589.91, 9631.4 , 9699.96,\n",
" 9755.9 , 9814.2 , 9856. , 9928.8 , 9972.19, 10047.33,\n",
" 10095.93, 10163.93, 10242.78, 10344.17, 10377.85, 10427.01,\n",
" 10480.5 , 10518.22, 10557.94, 10614.51, 10647.48, 10744.13,\n",
" 10829.33, 10892.65, 10945.24, 10988.38, 11038.42, 11147.68,\n",
" 11211.51, 11276.21, 11379.99, 11444.43, 11502.12, 11631.64,\n",
" 11671.47, 11723.53, 11772.01, 11826.11, 11886.84, 11929.25]), array([ 13.02, 49.95, 101.35, 174.44, 221.46, 301.33,\n",
" 357.37, 473.28, 542.78, 593.35, 640.59, 690.27,\n",
" 728.98, 785.12, 932.37, 977.99, 1025.58, 1084.08,\n",
" 1122.1 , 1172.53, 1258.05, 1363.73, 1416.78, 1460.37,\n",
" 1523.97, 1593. , 1636.75, 1694.78, 1757.44, 1808.61,\n",
" 1865.71, 1954.89, 2010.49, 2046.98, 2086.82, 2150.96,\n",
" 2196.83, 2250.99, 2367.48, 2461.33, 2512.14, 2586.86,\n",
" 2652.54, 2743.38, 2809.11, 2852.18, 2902.49, 3071.52,\n",
" 3122.96, 3171.44, 3244.78, 3278.99, 3381.8 , 3425.37,\n",
" 3477.26, 3603.55, 3654.86, 3721.76, 3798.29, 3841.74,\n",
" 3884.48, 3956.98, 4103.51, 4173.71, 4238.36, 4286.05,\n",
" 4333.67, 4389.78, 4447.02, 4491.88, 4575.19, 4620.64,\n",
" 4669.56, 4725.63, 4822.11, 4860.76, 4941.14, 5011.78,\n",
" 5071.61, 5156.51, 5231.79, 5305.54, 5345.62, 5406.71,\n",
" 5494.55, 5544.53, 5611.73, 5726.54, 5773.06, 5834.01,\n",
" 5896.59, 5936.25, 5976.63, 6037.66, 6177.95, 6251.33,\n",
" 6311.23, 6411.72, 6462.32, 6513.79, 6632.83, 6698.73,\n",
" 6782.46, 6826.42, 6878.79, 6926.34, 7061.04, 7101.74,\n",
" 7166.54, 7229.24, 7297.16, 7362.62, 7416.01, 7470.78,\n",
" 7531.81, 7595.65, 7643.23, 7699.12, 7739.49, 7799.44,\n",
" 7889.48, 7947.08, 8028.08, 8078.15, 8203.94, 8246.1 ,\n",
" 8331.39, 8372.61, 8441.11, 8484.4 , 8558.49, 8606.48,\n",
" 8658.25, 8703.42, 8765.61, 8827.91, 8872.68, 8953.36,\n",
" 9038.37, 9116.6 , 9203.36, 9298.73, 9366.38, 9438.95,\n",
" 9502.77, 9566.81, 9624.07, 9707.69, 9774.19, 9840.33,\n",
" 9913.76, 9958.4 , 10018.62, 10072.78, 10190.06, 10233.33,\n",
" 10314.98, 10381.13, 10429.18, 10473.41, 10523.53, 10648.81,\n",
" 10743.84, 10796.9 , 10887.08, 10966.38, 11056.7 , 11153.71,\n",
" 11192.84, 11249.09, 11300.63, 11364.1 , 11417.05, 11463.4 ,\n",
" 11523.61, 11591.67, 11632.19, 11679.19, 11745.87, 11796.31,\n",
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" 323.43, 387.65, 443.01, 486.75, 532.6 , 582.24,\n",
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" 3485.67, 3570.97, 3646.88, 3696.8 , 3745.27, 3805.29,\n",
" 3913.14, 3971.37, 4063.11, 4120.97, 4187.02, 4234.4 ,\n",
" 4289.46, 4338.28, 4388.61, 4437.15, 4483.43, 4559.57,\n",
" 4633.34, 4709.39, 4761.85, 4806.79, 4860.73, 4924.57,\n",
" 5036.01, 5079.52, 5128.76, 5228.78, 5272.73, 5336.76,\n",
" 5417.26, 5499.55, 5561.66, 5594.88, 5664.05, 5745.46,\n",
" 5788.94, 5856.57, 5933.42, 6031.21, 6075.91, 6121.48,\n",
" 6160.32, 6218.48, 6256.5 , 6290.51, 6334.68, 6405.91,\n",
" 6451.21, 6502.35, 6540.9 , 6621.82, 6660.55, 6755.1 ,\n",
" 6810.01, 6898.75, 6948.38, 7000.77, 7116.01, 7202.66,\n",
" 7285.87, 7331.05, 7375.39, 7433.12, 7509.12, 7561.01,\n",
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" 7911.93, 7963.01, 8020.82, 8058.52, 8111.58, 8153.57,\n",
" 8207.09, 8275.13, 8345.83, 8401.74, 8460.95, 8539.93,\n",
" 8634.58, 8698.65, 8751.96, 8806.04, 8853.38, 8897.21,\n",
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" 10095.48, 10145.67, 10187.72, 10237.42, 10272.38, 10373.97,\n",
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" 10742.58, 10786.15, 10836.42, 10893.27, 10931.08, 10969.44,\n",
" 11011.49, 11122.3 , 11176.55, 11217.33, 11260.47, 11313.59,\n",
" 11356.08, 11428.09, 11469.25, 11533.91, 11605.8 , 11685.27,\n",
" 11809.17, 11933.6 ]), array([ 18.18, 73.31, 128.36, 177.65, 255.97, 337.01,\n",
" 418.04, 536.6 , 691.41, 740.62, 847.87, 886.58,\n",
" 937.27, 985.08, 1073.95, 1103.91, 1155.88, 1210.36,\n",
" 1268.44, 1321.42, 1363.46, 1481.61, 1527.22, 1641.15,\n",
" 1781.14, 1843.89, 1892.08, 1988.37, 2043.31, 2127.52,\n",
" 2181.27, 2221.95, 2270.26, 2330.6 , 2365.45, 2423.42,\n",
" 2480.79, 2550.93, 2595.11, 2653.41, 2729.7 , 2794.27,\n",
" 2914.29, 2950.73, 3072.91, 3171.82, 3266.76, 3346.8 ,\n",
" 3442.15, 3512.09, 3546.41, 3621.87, 3737.57, 3779.59,\n",
" 3886.12, 3933.39, 3986. , 4026.87, 4081.95, 4122.84,\n",
" 4167.12, 4259.96, 4304.51, 4343.81, 4387.46, 4437.02,\n",
" 4499.68, 4551.19, 4602.24, 4658.88, 4725.85, 4778.88,\n",
" 4837.52, 4917.25, 4959.19, 5008.24, 5062.33, 5113.27,\n",
" 5206.54, 5276.38, 5316.25, 5375.52, 5435.56, 5481.31,\n",
" 5536.12, 5614.5 , 5666.83, 5709.27, 5763.44, 5819.05,\n",
" 5921.31, 5969.8 , 6023.44, 6085.08, 6131.69, 6206.6 ,\n",
" 6252.56, 6319.16, 6374.51, 6637.6 , 6675.26, 6741.58,\n",
" 6881.38, 6949.58, 6997.17, 7076.84, 7120.73, 7177.51,\n",
" 7227.34, 7281.74, 7377.02, 7441.2 , 7496.68, 7592.5 ,\n",
" 7661.05, 7717.41, 7777.06, 7838.52, 7878.18, 7918.37,\n",
" 8011.25, 8066.7 , 8148.53, 8195.75, 8242.19, 8286.04,\n",
" 8383.73, 8449.19, 8528.63, 8582.72, 8628.88, 8678.13,\n",
" 8730.91, 8840.68, 8930.5 , 9020.45, 9056.97, 9137.34,\n",
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" 9979.98, 10027.16, 10096.21, 10146.83, 10271.53, 10325.1 ,\n",
" 10392.99, 10436.24, 10523.38, 10593.63, 10637.31, 10696.02,\n",
" 10757.38, 10841.66, 10892.31, 10935.98, 11046.9 , 11118.51,\n",
" 11165.1 , 11221.85, 11294.4 , 11396.86, 11471.43, 11514.53,\n",
" 11569.95, 11631.21, 11694.05, 11733.93, 11775.91, 11824.51,\n",
" 11874.63, 11985.98]), array([ 15.68, 69.81, 151.46, 231.09, 269.78, 316.41,\n",
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" 712.52, 775.34, 833.88, 909.14, 983.64, 1039.8 ,\n",
" 1084.32, 1129.88, 1171.44, 1229.15, 1299.14, 1343.99,\n",
" 1457.13, 1578.19, 1636.62, 1710.5 , 1759.34, 1838.85,\n",
" 1933.4 , 2006.66, 2079.9 , 2159.87, 2230.47, 2314.55,\n",
" 2380.37, 2531.85, 2618.67, 2783.2 , 2831.25, 2878.11,\n",
" 2938.24, 2983.44, 3047.69, 3094.75, 3132.53, 3188.51,\n",
" 3345.99, 3396.92, 3491.64, 3565.89, 3641.76, 3701.46,\n",
" 3743.13, 3806.68, 3888.5 , 3926.04, 4033.02, 4079.18,\n",
" 4143.48, 4195.86, 4274.08, 4336.3 , 4382.13, 4417.41,\n",
" 4493.86, 4553.33, 4613.36, 4665.2 , 4716.54, 4785.54,\n",
" 4871.83, 4922.88, 5012.12, 5063.8 , 5133.95, 5201.99,\n",
" 5259.05, 5319.24, 5366.06, 5404.26, 5475.19, 5522.84,\n",
" 5587.49, 5636.26, 5700.8 , 5783.78, 5838.89, 5927.42,\n",
" 6006.97, 6091.68, 6158.07, 6206.26, 6286.54, 6467.9 ,\n",
" 6557.54, 6605.98, 6656.02, 6728.08, 6771.63, 6843.42,\n",
" 6889.95, 6945.69, 7006.49, 7057.96, 7113.84, 7162.17,\n",
" 7200.27, 7277.63, 7317.06, 7367.32, 7423.33, 7540.24,\n",
" 7614.14, 7672.37, 7732.56, 7809.62, 7868.11, 7979.17,\n",
" 8040.48, 8085.84, 8187.2 , 8264.73, 8334.56, 8506.35,\n",
" 8572.46, 8647.32, 8714.52, 8786.3 , 8848.21, 8901.2 ,\n",
" 8967.39, 9036.25, 9084.36, 9153.94, 9188.51, 9236.44,\n",
" 9278.7 , 9367.08, 9443.37, 9485.37, 9539.78, 9596.67,\n",
" 9661. , 9739.04, 9793.63, 9840.73, 9951.05, 10003.58,\n",
" 10040.33, 10095.25, 10185.71, 10299.11, 10364.25, 10432.89,\n",
" 10501.51, 10559.09, 10655.27, 10706.14, 10759.6 , 10824.83,\n",
" 10886.95, 10948.54, 11005.49, 11049.4 , 11124.85, 11243.85,\n",
" 11291.44, 11364.62, 11451.53, 11528.04, 11559.72, 11627.52,\n",
" 11668.49, 11736.1 , 11802.22, 11887.17, 11921.16]), array([ 21.26, 63.07, 115.7 , 173.57, 219.28, 265.98,\n",
" 347.11, 430.02, 483.12, 543.82, 596.04, 686.21,\n",
" 725.84, 762.6 , 803.32, 842.15, 886.35, 953.21,\n",
" 1004.45, 1078.57, 1176.42, 1289.15, 1338.32, 1397.24,\n",
" 1452.3 , 1551.98, 1605.98, 1687. , 1763.61, 1820.33,\n",
" 1919.21, 1956.23, 1998.29, 2037.9 , 2095.2 , 2150.63,\n",
" 2199.61, 2267.17, 2324.94, 2384.92, 2422.3 , 2470.28,\n",
" 2513.31, 2570.64, 2622.95, 2768.27, 2826.57, 2873.24,\n",
" 2943.34, 2987.56, 3052.35, 3098.14, 3139.33, 3234.69,\n",
" 3292.17, 3349.99, 3389.71, 3486.76, 3545.42, 3592.35,\n",
" 3687.41, 3772.2 , 3847.59, 3893.85, 3962.96, 4029.02,\n",
" 4064.44, 4169.5 , 4209.27, 4268.2 , 4336.66, 4378.94,\n",
" 4446.88, 4558.9 , 4627.22, 4761.79, 4796.24, 4858.42,\n",
" 4972.22, 5046.24, 5096.69, 5174.27, 5240.63, 5293.39,\n",
" 5366.01, 5451.95, 5508.76, 5546.17, 5632.08, 5688.26,\n",
" 5734.08, 5811.88, 5866.18, 5918.46, 5969.94, 6002.57,\n",
" 6133.94, 6184.13, 6242.4 , 6317.08, 6408.78, 6503.29,\n",
" 6579.58, 6625.8 , 6689.37, 6743. , 6791.85, 6886.35,\n",
" 6926.14, 7053.94, 7086.8 , 7181.5 , 7269.16, 7341.51,\n",
" 7389.15, 7476.72, 7538.68, 7635.14, 7690.98, 7731.98,\n",
" 7811.42, 7858.12, 7906.62, 7981.05, 8019.12, 8098.88,\n",
" 8146. , 8205.34, 8265.2 , 8351.12, 8396.74, 8451.08,\n",
" 8539.3 , 8595.03, 8630.72, 8702.21, 8779.42, 8831.89,\n",
" 8934.61, 9008.75, 9076.68, 9164.23, 9214.41, 9253.05,\n",
" 9296.49, 9335.64, 9396.48, 9490.82, 9569.72, 9621.79,\n",
" 9688.89, 9749.23, 9818.21, 9923.97, 10005.52, 10067.6 ,\n",
" 10101.67, 10148.25, 10218.53, 10257.36, 10293.36, 10400.61,\n",
" 10456.71, 10518.28, 10643.3 , 10701.13, 10757.57, 10830.46,\n",
" 10917.08, 10993.33, 11076.78, 11137.63, 11196.46, 11294.5 ,\n",
" 11379.71, 11447.87, 11492.93, 11531.19, 11572.25, 11625.11,\n",
" 11671.62, 11743.66, 11839.53, 11901.98, 11969.77]), array([ 58.93, 117.69, 196.7 , 259.42, 326.94, 369.07,\n",
" 417.28, 501.53, 575.81, 622.74, 665.74, 743.43,\n",
" 804.29, 884.2 , 937.05, 1028.52, 1077.11, 1140.48,\n",
" 1181.03, 1231.06, 1311.75, 1359.84, 1418.72, 1493.83,\n",
" 1554.78, 1621.71, 1719.32, 1802.16, 1871.79, 1991.49,\n",
" 2035.09, 2084. , 2158.33, 2200.34, 2264.01, 2311.99,\n",
" 2371.45, 2428.4 , 2485.48, 2538.63, 2646.56, 2707.88,\n",
" 2767.29, 2820.09, 2866.5 , 2928.09, 3009.51, 3057.93,\n",
" 3113.64, 3190.97, 3263.43, 3317.03, 3427.26, 3471.93,\n",
" 3533.8 , 3641.01, 3704.36, 3805.55, 3859.01, 3938.67,\n",
" 4016.07, 4071.37, 4122.39, 4169.2 , 4223.71, 4279.68,\n",
" 4348.3 , 4388.43, 4461.96, 4512.12, 4583.73, 4642.45,\n",
" 4682.41, 4762.18, 4807. , 4871.1 , 4913.86, 4968.93,\n",
" 5005.81, 5057.57, 5110.6 , 5163.36, 5225.65, 5258.35,\n",
" 5312.32, 5353.85, 5433.5 , 5556.56, 5594.9 , 5649.8 ,\n",
" 5690.54, 5758.39, 5789.31, 5865.7 , 5913.95, 5971.03,\n",
" 6021.42, 6067.72, 6148.74, 6203. , 6297.96, 6385.29,\n",
" 6446.49, 6499.2 , 6555.71, 6613.9 , 6672.23, 6724.11,\n",
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" 7616.23, 7698.98, 7765.76, 7835.06, 7883.52, 7955.89,\n",
" 8013.17, 8061.62, 8149.48, 8208.25, 8246.1 , 8384.28,\n",
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" 11421.34, 11470.87, 11530.94, 11580.88, 11632.23, 11704.55,\n",
" 11809.22, 11868.32, 11930.48]), array([ 14.11, 74.29, 120.76, 158.38, 206.7 , 308.01,\n",
" 340.87, 380.14, 439.56, 483.93, 550.1 , 598.95,\n",
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" 1092.39, 1139.32, 1189.72, 1243.26, 1275.01, 1333.29,\n",
" 1376.76, 1431.83, 1563.25, 1605.57, 1640.8 , 1681.07,\n",
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" 2115.99, 2179.78, 2229.31, 2276.99, 2314.56, 2369.52,\n",
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" 11631.05, 11673.42, 11723.17, 11809.61, 11873.9 , 11954.67,\n",
" 11998.83]), array([ 14.56, 83.31, 143.32, 201.55, 250.06, 397.2 ,\n",
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" 1181.01, 1243.25, 1304.77, 1349.04, 1438.75, 1535.5 ,\n",
" 1589.24, 1645.16, 1693.59, 1738.85, 1781.84, 1821.14,\n",
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" 11373.68, 11463.35, 11516.51, 11564.81, 11627.95, 11673.81,\n",
" 11735.3 , 11798.02, 11870.86, 11934.27]), array([ 14.91, 46.68, 94.21, 136.62, 193.38, 253.85,\n",
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" 1052.11, 1189.62, 1236.53, 1328.77, 1430.89, 1491.23,\n",
" 1531.45, 1600.8 , 1652.6 , 1713.67, 1795.31, 1894.76,\n",
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" 2456.62, 2555.49, 2629.75, 2699.46, 2744.82, 2823.59,\n",
" 2872.2 , 2944.84, 2981.81, 3032.6 , 3096.02, 3146.66,\n",
" 3216. , 3286.08, 3319.2 , 3400.45, 3439.8 , 3497.12,\n",
" 3568.72, 3616.1 , 3655.82, 3713.24, 3802.6 , 3908.09,\n",
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" 4969.26, 5027.53, 5100.4 , 5141.65, 5183.12, 5247.99,\n",
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" 5637.86, 5738.69, 5837.26, 5969.28, 6081.41, 6128.56,\n",
" 6193.64, 6241.05, 6275.21, 6362.37, 6431.09, 6481.92,\n",
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" 7774.63, 7839.71, 7971.99, 8061.67, 8110.55, 8208.44,\n",
" 8267.83, 8318.7 , 8385.38, 8454.77, 8524.23, 8576.99,\n",
" 8645.96, 8716.22, 8794.9 , 8858.03, 8903.89, 8983.55,\n",
" 9030.17, 9077.39, 9125.77, 9184.55, 9223.93, 9283.55,\n",
" 9316.96, 9387.03, 9434.37, 9589.33, 9624.5 , 9715.67,\n",
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" 10189.84, 10259.82, 10314.9 , 10401.34, 10522.85, 10588.56,\n",
" 10651.75, 10720.03, 10772.39, 10845.65, 10923. , 10962.75,\n",
" 11097.53, 11150.72, 11251.5 , 11301.82, 11469.13, 11530.61,\n",
" 11640.33, 11705.86, 11849.55, 11900.13, 11950.66, 11999.77]), array([ 16.4 , 72.86, 123.31, 214.94, 274.66, 318.14,\n",
" 441.92, 492. , 541. , 600.47, 643.87, 689.98,\n",
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" 1245.83, 1345.57, 1441.23, 1593.64, 1649.45, 1748.25,\n",
" 1806.63, 1858.14, 1908.57, 2017.23, 2082.65, 2120.99,\n",
" 2191.08, 2250.27, 2294.76, 2357.84, 2428.46, 2513.85,\n",
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" 2881.66, 2941.13, 3020.04, 3098.05, 3166.37, 3251.68,\n",
" 3329.59, 3384.48, 3431.3 , 3481.93, 3565.27, 3616.53,\n",
" 3682.85, 3752.38, 3909.86, 3998.91, 4077.79, 4162.7 ,\n",
" 4209.69, 4263.58, 4297.05, 4351.19, 4441.37, 4492.64,\n",
" 4544.09, 4580.89, 4645.91, 4679.42, 4756.03, 4796.42,\n",
" 4856.31, 4971.11, 5061.78, 5117.11, 5264.24, 5306.41,\n",
" 5402.27, 5438.79, 5495.41, 5567.62, 5605.83, 5669.32,\n",
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" 6454.27, 6498.86, 6565.54, 6638.26, 6677.06, 6727.1 ,\n",
" 6771.74, 6824.04, 6864.1 , 6915.58, 6992.08, 7083.95,\n",
" 7145.03, 7234.61, 7295.08, 7331.12, 7384.05, 7435.99,\n",
" 7480.78, 7542.21, 7589. , 7651.04, 7724.51, 7802.79,\n",
" 7861.02, 7899.28, 7935.1 , 7989.67, 8058.35, 8114.51,\n",
" 8258.79, 8338.23, 8389.23, 8500.75, 8561.63, 8651.16,\n",
" 8686.28, 8766.55, 8823.91, 8878.91, 8914.78, 8953.45,\n",
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" 9439.03, 9490.12, 9566.51, 9616.82, 9675.63, 9721.32,\n",
" 9805.3 , 9853.11, 9956.48, 10002.77, 10126.09, 10195.7 ,\n",
" 10319.46, 10396.23, 10453.99, 10499.62, 10569.13, 10647.95,\n",
" 10716.13, 10771.31, 10862.72, 10909.93, 10954.63, 11014.87,\n",
" 11060.95, 11097.2 , 11202.76, 11303.3 , 11334.72, 11387.9 ,\n",
" 11446.09, 11500.79, 11575.7 , 11637.01, 11741.87, 11807.02,\n",
" 11854.3 , 11934.9 , 11983.99]), array([ 17.94, 46.12, 85.78, 158.1 , 249.56, 294.72,\n",
" 342.26, 419.32, 460.87, 511.32, 568.25, 645.34,\n",
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" 1528.58, 1582.7 , 1661.07, 1704.28, 1747.15, 1806.41,\n",
" 1859.32, 1955.64, 1995.33, 2086.25, 2158.53, 2217.76,\n",
" 2256.91, 2306.68, 2407.09, 2455.56, 2609.66, 2666.19,\n",
" 2728.82, 2773.11, 2815.7 , 2870.74, 2950.95, 3003.74,\n",
" 3073.8 , 3118.18, 3192.6 , 3288.56, 3337.06, 3447.67,\n",
" 3497.4 , 3563.14, 3702.03, 3763.53, 3806.26, 3850.31,\n",
" 3896.67, 3966.46, 4036.65, 4081.22, 4124.28, 4200.7 ,\n",
" 4250.39, 4291.66, 4328.18, 4426.35, 4487.34, 4541.06,\n",
" 4640.74, 4686.39, 4776.12, 4824.25, 4881.94, 4942.29,\n",
" 5030.04, 5069.37, 5119.79, 5168.64, 5295.79, 5335.79,\n",
" 5393.47, 5439.61, 5494.54, 5542.41, 5591.55, 5645.12,\n",
" 5696.78, 5763.11, 5862.37, 5910.63, 5984.83, 6032.48,\n",
" 6088.05, 6133.83, 6238.16, 6326.91, 6369.68, 6417.97,\n",
" 6484.23, 6527. , 6586.8 , 6640.05, 6681.41, 6727.21,\n",
" 6771.34, 6887.15, 6949.47, 7035.56, 7108.4 , 7169.48,\n",
" 7316.14, 7368.82, 7488.77, 7598.64, 7636.95, 7710.73,\n",
" 7776.16, 7835.87, 7946.93, 7985.35, 8046.21, 8101.14,\n",
" 8168.69, 8209.87, 8250.18, 8327.81, 8388.95, 8437.25,\n",
" 8491.33, 8530.83, 8595.63, 8671.76, 8773.27, 8846.8 ,\n",
" 8888.24, 8950.91, 9002.78, 9039.77, 9110.9 , 9190.05,\n",
" 9234.12, 9329.99, 9365.25, 9409.95, 9461.72, 9526.96,\n",
" 9588.98, 9629.95, 9670.93, 9739.77, 9790.74, 9851.43,\n",
" 9926.85, 9984.31, 10048.6 , 10183.5 , 10255.11, 10298.33,\n",
" 10354.21, 10412.22, 10504.07, 10604.2 , 10672.63, 10768.51,\n",
" 10921.74, 10966.48, 11055.41, 11097.74, 11151.54, 11198.54,\n",
" 11244.13, 11298.68, 11340.67, 11398.45, 11468.08, 11551.22,\n",
" 11616.69, 11678.88, 11716.28, 11791.45, 11864.9 , 11956.94]), array([ 13.51, 47.61, 150.53, 210.07, 284.83, 340.43,\n",
" 391.13, 454.57, 531.59, 659.22, 689.26, 725.85,\n",
" 772.47, 826.22, 884.51, 1008.13, 1041.88, 1108.23,\n",
" 1171.2 , 1208.14, 1246.41, 1311.86, 1349.71, 1400.02,\n",
" 1449.45, 1536.56, 1664.05, 1732.24, 1800.89, 1839.91,\n",
" 1918.5 , 2037.07, 2102.6 , 2146.48, 2223.79, 2297.22,\n",
" 2342.32, 2415.57, 2475.39, 2530.11, 2573.73, 2667.55,\n",
" 2713.71, 2838.3 , 2918.43, 2977.29, 3044.69, 3105.69,\n",
" 3174.07, 3220.8 , 3256.99, 3301.1 , 3396.81, 3479.36,\n",
" 3530.42, 3578.02, 3662.72, 3727.7 , 3831.19, 3945.59,\n",
" 4027.01, 4084.34, 4126.12, 4188.73, 4298.84, 4373.1 ,\n",
" 4426.78, 4581.04, 4644.77, 4678.21, 4737.8 , 4803.38,\n",
" 4843.19, 4891.98, 4972.16, 5081.42, 5150.36, 5244.77,\n",
" 5331.23, 5399.12, 5445.46, 5502.65, 5539.77, 5621.45,\n",
" 5671.55, 5780.49, 5836.57, 5899.63, 5949.24, 6025.34,\n",
" 6092.32, 6136.23, 6178.89, 6242.66, 6311.67, 6411.06,\n",
" 6475.99, 6541.57, 6635.2 , 6696.54, 6775.02, 6814.51,\n",
" 6943.23, 7033.16, 7086.86, 7173.68, 7243.05, 7283.07,\n",
" 7328.9 , 7391.16, 7465.48, 7516.3 , 7561.6 , 7641.62,\n",
" 7713.42, 7801. , 7864.36, 7911.33, 7990.64, 8027.9 ,\n",
" 8084.66, 8141.84, 8211.63, 8288.78, 8351.84, 8409.85,\n",
" 8444.54, 8501.22, 8559.94, 8617.57, 8658.9 , 8697.82,\n",
" 8771.25, 8890.47, 8988.19, 9035.11, 9114.14, 9155.89,\n",
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" 9594.16, 9636.9 , 9690.02, 9748.93, 9795.92, 9870.69,\n",
" 9923.36, 10048.8 , 10154.64, 10196.63, 10238.79, 10289.71,\n",
" 10327.82, 10383.77, 10424.45, 10476.26, 10538.29, 10589.78,\n",
" 10633.9 , 10712.21, 10770.61, 10828.6 , 10889.74, 10965.73,\n",
" 11003.03, 11145.74, 11197.08, 11297.94, 11357.71, 11432.75,\n",
" 11511.11, 11566.13, 11602.74, 11690.56, 11753.67, 11815.93,\n",
" 11886.41, 11923.35, 11971.19]), array([1.148000e+01, 8.634000e+01, 1.620500e+02, 2.473700e+02,\n",
" 2.972800e+02, 3.987500e+02, 4.586100e+02, 5.436000e+02,\n",
" 5.986200e+02, 6.396400e+02, 7.027400e+02, 8.760100e+02,\n",
" 9.151200e+02, 9.605700e+02, 1.032590e+03, 1.079710e+03,\n",
" 1.141730e+03, 1.190870e+03, 1.231670e+03, 1.278500e+03,\n",
" 1.329500e+03, 1.457140e+03, 1.528560e+03, 1.610570e+03,\n",
" 1.668680e+03, 1.710580e+03, 1.769300e+03, 1.836450e+03,\n",
" 1.906260e+03, 1.970610e+03, 2.062900e+03, 2.122170e+03,\n",
" 2.159750e+03, 2.221020e+03, 2.278060e+03, 2.333300e+03,\n",
" 2.371800e+03, 2.433820e+03, 2.538800e+03, 2.601040e+03,\n",
" 2.662190e+03, 2.719220e+03, 2.758830e+03, 2.818440e+03,\n",
" 2.971190e+03, 3.057910e+03, 3.137970e+03, 3.206870e+03,\n",
" 3.279490e+03, 3.430310e+03, 3.508130e+03, 3.598300e+03,\n",
" 3.666630e+03, 3.736630e+03, 3.810370e+03, 3.884930e+03,\n",
" 3.935930e+03, 4.047070e+03, 4.114740e+03, 4.200810e+03,\n",
" 4.268820e+03, 4.325400e+03, 4.370160e+03, 4.422870e+03,\n",
" 4.468700e+03, 4.537310e+03, 4.606080e+03, 4.665860e+03,\n",
" 4.700550e+03, 4.779180e+03, 4.841130e+03, 4.885910e+03,\n",
" 4.971950e+03, 5.026610e+03, 5.078370e+03, 5.150300e+03,\n",
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" 5.913990e+03, 5.972260e+03, 6.016700e+03, 6.078000e+03,\n",
" 6.193170e+03, 6.266570e+03, 6.316480e+03, 6.367420e+03,\n",
" 6.470210e+03, 6.524190e+03, 6.609720e+03, 6.690890e+03,\n",
" 6.770960e+03, 6.852310e+03, 6.914360e+03, 6.966890e+03,\n",
" 7.017190e+03, 7.082110e+03, 7.136050e+03, 7.227410e+03,\n",
" 7.304760e+03, 7.367570e+03, 7.454490e+03, 7.557620e+03,\n",
" 7.671420e+03, 7.707700e+03, 7.770560e+03, 7.806920e+03,\n",
" 7.861660e+03, 7.953150e+03, 8.000330e+03, 8.047940e+03,\n",
" 8.121150e+03, 8.170390e+03, 8.254400e+03, 8.302080e+03,\n",
" 8.402080e+03, 8.450740e+03, 8.498130e+03, 8.572380e+03,\n",
" 8.625470e+03, 8.652570e+03, 8.778000e+03, 8.843160e+03,\n",
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" 9.598900e+03, 9.678460e+03, 9.727280e+03, 9.766170e+03,\n",
" 9.820660e+03, 9.902810e+03, 9.989410e+03, 1.004712e+04,\n",
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" 1.086008e+04, 1.090656e+04, 1.096736e+04, 1.103839e+04,\n",
" 1.108767e+04, 1.113483e+04, 1.120166e+04, 1.124709e+04,\n",
" 1.129638e+04, 1.134347e+04, 1.140197e+04, 1.144940e+04,\n",
" 1.155597e+04, 1.164828e+04, 1.168739e+04, 1.172749e+04,\n",
" 1.179306e+04, 1.185166e+04, 1.191122e+04, 1.196236e+04]), array([ 16.47, 68.53, 110.25, 147.48, 186.19, 225.35,\n",
" 291.1 , 350.7 , 393.83, 496.77, 558.5 , 614.61,\n",
" 655.73, 745.19, 851.85, 927.23, 968.56, 1052.73,\n",
" 1105.81, 1169.99, 1209.53, 1270.46, 1334.89, 1401.83,\n",
" 1458.78, 1569.9 , 1639.63, 1686.46, 1746.61, 1806.95,\n",
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" 2381.16, 2432.02, 2509.32, 2605.85, 2676.43, 2713.52,\n",
" 2766.16, 2859.61, 2921.31, 2973.61, 3027.57, 3141.95,\n",
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" 5096.83, 5134.54, 5186.16, 5246.37, 5316.28, 5382.39,\n",
" 5449.34, 5486.36, 5538.13, 5598.24, 5648.8 , 5688.35,\n",
" 5730.27, 5813.26, 5907.85, 5988.09, 6040.25, 6102.2 ,\n",
" 6181.61, 6275.63, 6343.26, 6405.89, 6491.6 , 6545.35,\n",
" 6640.31, 6714.41, 6753.67, 6796.28, 6837.74, 6899.13,\n",
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" 7678.56, 7749.19, 7792.97, 7913.84, 7979.34, 8023.41,\n",
" 8067.32, 8120.36, 8165.75, 8233.92, 8281.64, 8332.7 ,\n",
" 8459.76, 8516.2 , 8558.31, 8614.16, 8670.75, 8722.5 ,\n",
" 8764.59, 8832.18, 8909.99, 8972.8 , 9006.05, 9105.55,\n",
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" 10351.42, 10418.33, 10482.62, 10522.78, 10593.9 , 10645.08,\n",
" 10698.65, 10736.01, 10780.7 , 10846.86, 10903.48, 10953.67,\n",
" 11031.35, 11075.26, 11120.79, 11171.3 , 11266.7 , 11337.6 ,\n",
" 11397.15, 11459.94, 11505.71, 11592.52, 11643.2 , 11727.33,\n",
" 11801.19, 11849.23, 11897.93, 11957.46]), array([ 15.12, 61.68, 143.99, 221.24, 291.35, 326.01,\n",
" 368.08, 414.51, 489.5 , 529.01, 601.41, 677.53,\n",
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" 1007.52, 1093.92, 1176.01, 1288.1 , 1335.58, 1455.35,\n",
" 1526.06, 1581.99, 1629.07, 1687.69, 1743.71, 1812.39,\n",
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" 3919.11, 3962.58, 4050.32, 4129.82, 4206.75, 4252.97,\n",
" 4295.37, 4357.28, 4400.07, 4445.86, 4493.6 , 4560.38,\n",
" 4604.94, 4672.36, 4744.43, 4849.49, 4904.01, 4957.84,\n",
" 5010.21, 5070.03, 5113.9 , 5166.03, 5248.6 , 5294.13,\n",
" 5340.67, 5411.71, 5458.99, 5500.38, 5573.06, 5631.63,\n",
" 5686.11, 5757.42, 5805.36, 5849.75, 5900.21, 5991.51,\n",
" 6065.4 , 6123.84, 6214.73, 6368.08, 6432.47, 6481.2 ,\n",
" 6599.37, 6666.65, 6711.64, 6770.85, 6819.9 , 6871.39,\n",
" 6928.42, 6994.79, 7034.41, 7080.36, 7125.95, 7184.7 ,\n",
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" 7628.88, 7718.59, 7759.8 , 7834.95, 7889.96, 7933.65,\n",
" 7998.69, 8105.98, 8236.25, 8287.69, 8356.63, 8408.76,\n",
" 8455.61, 8498.56, 8543.92, 8737.42, 8785.66, 8832.43,\n",
" 8886.36, 8951.24, 9001.23, 9066.51, 9183.54, 9233.15,\n",
" 9286. , 9360.41, 9423.91, 9489.24, 9532.26, 9700.47,\n",
" 9806.67, 9870.39, 9930.47, 10006.24, 10046.69, 10086.53,\n",
" 10131.03, 10172.94, 10246.88, 10299.7 , 10400.75, 10480.41,\n",
" 10546.95, 10678.24, 10721.34, 10757.83, 10797.89, 10862.96,\n",
" 10921.61, 10961.95, 11001.24, 11086.14, 11199.71, 11256.65,\n",
" 11334.06, 11402.63, 11448.09, 11517.76, 11588.69, 11642.52,\n",
" 11739.76, 11778.04, 11814.56, 11865.68, 11951.26]), array([ 15.02, 68.94, 140.15, 202.76, 261.85, 339.27,\n",
" 412.17, 461.43, 564.16, 643.77, 762.06, 794.39,\n",
" 870.51, 961.91, 1025.3 , 1086.27, 1142.62, 1198.47,\n",
" 1290.93, 1342.75, 1425.91, 1483.87, 1537.79, 1592.16,\n",
" 1643.73, 1684.95, 1742.06, 1784.72, 1853.71, 1925.74,\n",
" 1980.94, 2026.14, 2073.39, 2135.82, 2178.47, 2248.64,\n",
" 2325.79, 2368.32, 2423.48, 2463.81, 2535.19, 2583.56,\n",
" 2628.23, 2706.58, 2762.54, 2852.54, 2900.75, 2946.17,\n",
" 3016.43, 3055.06, 3138.92, 3181.48, 3233.19, 3270.93,\n",
" 3311.54, 3361.09, 3418.18, 3524.91, 3584.69, 3653.43,\n",
" 3727.7 , 3896.15, 3986.82, 4037.11, 4079.2 , 4128.2 ,\n",
" 4193.47, 4283.4 , 4382.26, 4466.96, 4503.77, 4639.08,\n",
" 4721.84, 4792.77, 4829.83, 4904.14, 4945.38, 4992.66,\n",
" 5083.73, 5144.74, 5222.07, 5253.72, 5318.45, 5364.39,\n",
" 5444.08, 5518.26, 5568.69, 5618. , 5666.44, 5713.23,\n",
" 5758.48, 5799.92, 5901.67, 5961.65, 6007.7 , 6066.74,\n",
" 6133.72, 6187.53, 6242.25, 6290.07, 6346.77, 6415.78,\n",
" 6480.51, 6550.75, 6633.73, 6690.81, 6790.51, 6891.69,\n",
" 6971.36, 7093.23, 7147.5 , 7196.62, 7278.84, 7326.55,\n",
" 7388.95, 7438.71, 7489.3 , 7551.49, 7602.6 , 7665.59,\n",
" 7732.09, 7780.65, 7820.73, 7878.78, 7918.44, 7997.66,\n",
" 8041.28, 8109.63, 8159.2 , 8216.03, 8256.19, 8308.65,\n",
" 8351.89, 8404.77, 8494.55, 8580.47, 8669.6 , 8720.79,\n",
" 8757.7 , 8812.3 , 8898.99, 8954.01, 9022.36, 9104.32,\n",
" 9165.75, 9217.65, 9304.84, 9422.89, 9469.58, 9535.74,\n",
" 9580.15, 9663.23, 9740.8 , 9800.94, 9897.41, 9964.28,\n",
" 10107.71, 10174.83, 10314.83, 10361.3 , 10446.1 , 10494.24,\n",
" 10548.07, 10607.31, 10654.71, 10714.73, 10768.31, 10808.64,\n",
" 10876.61, 10953.62, 11001.24, 11042.42, 11095.27, 11191.67,\n",
" 11237.74, 11295.79, 11367.72, 11436.29, 11501.64, 11578.27,\n",
" 11671.44, 11736.96, 11798.69, 11847.9 , 11932.41, 11978.29])]\n"
]
}
],
"source": [
"print(spike_times)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "20e3191c",
"metadata": {},
"outputs": [],
"source": [
"import scipy.io\n",
"import numpy as np\n",
"\n",
"\n",
"file_path = 'data0.mat'\n",
"scipy.io.savemat(file_path, {'data0': spike_times[0]})\n",
"\n",
"file_path = 'data1.mat'\n",
"scipy.io.savemat(file_path, {'data1': spike_times[1]})\n",
"\n",
"file_path = 'data2.mat'\n",
"scipy.io.savemat(file_path, {'data2': spike_times[2]})\n",
"\n",
"file_path = 'data3.mat'\n",
"scipy.io.savemat(file_path, {'data3': spike_times[3]})\n",
"\n",
"file_path = 'data4.mat'\n",
"scipy.io.savemat(file_path, {'data4': spike_times[4]})\n",
"\n",
"file_path = 'data5.mat'\n",
"scipy.io.savemat(file_path, {'data5': spike_times[5]})\n",
"\n",
"file_path = 'data6.mat'\n",
"scipy.io.savemat(file_path, {'data6': spike_times[6]})\n",
"\n",
"file_path = 'data7.mat'\n",
"scipy.io.savemat(file_path, {'data7': spike_times[7]})\n",
"\n",
"file_path = 'data8.mat'\n",
"scipy.io.savemat(file_path, {'data8': spike_times[8]})\n",
"\n",
"file_path = 'data9.mat'\n",
"scipy.io.savemat(file_path, {'data9': spike_times[9]})\n",
"\n",
"file_path = 'data10.mat'\n",
"scipy.io.savemat(file_path, {'data10': spike_times[10]})\n",
"\n",
"file_path = 'data11.mat'\n",
"scipy.io.savemat(file_path, {'data11': spike_times[11]})\n",
"\n",
"file_path = 'data12.mat'\n",
"scipy.io.savemat(file_path, {'data12': spike_times[12]})\n",
"\n",
"file_path = 'data13.mat'\n",
"scipy.io.savemat(file_path, {'data13': spike_times[13]})\n",
"\n",
"file_path = 'data14.mat'\n",
"scipy.io.savemat(file_path, {'data14': spike_times[14]})\n",
"\n",
"file_path = 'data15.mat'\n",
"scipy.io.savemat(file_path, {'data15': spike_times[15]})\n",
"\n",
"file_path = 'data16.mat'\n",
"scipy.io.savemat(file_path, {'data16': spike_times[16]})\n",
"\n",
"file_path = 'data17.mat'\n",
"scipy.io.savemat(file_path, {'data17': spike_times[17]})\n",
"\n",
"file_path = 'data18.mat'\n",
"scipy.io.savemat(file_path, {'data18': spike_times[18]})\n",
"\n",
"file_path = 'data19.mat'\n",
"scipy.io.savemat(file_path, {'data19': spike_times[19]})\n",
"\n",
"file_path = 'data20.mat'\n",
"scipy.io.savemat(file_path, {'data20': spike_times[20]})\n",
"\n",
"file_path = 'data21.mat'\n",
"scipy.io.savemat(file_path, {'data21': spike_times[21]})\n",
"\n",
"file_path = 'data22.mat'\n",
"scipy.io.savemat(file_path, {'data22': spike_times[22]})\n",
"\n",
"file_path = 'data23.mat'\n",
"scipy.io.savemat(file_path, {'data23': spike_times[23]})\n",
"\n",
"file_path = 'data24.mat'\n",
"scipy.io.savemat(file_path, {'data24': spike_times[24]})\n",
"\n",
"file_path = 'data25.mat'\n",
"scipy.io.savemat(file_path, {'data25': spike_times[25]})\n",
"\n",
"file_path = 'data26.mat'\n",
"scipy.io.savemat(file_path, {'data26': spike_times[26]})\n",
"\n",
"file_path = 'data27.mat'\n",
"scipy.io.savemat(file_path, {'data27': spike_times[27]})\n",
"\n",
"file_path = 'data28.mat'\n",
"scipy.io.savemat(file_path, {'data28': spike_times[28]})\n",
"\n",
"file_path = 'data29.mat'\n",
"scipy.io.savemat(file_path, {'data29': spike_times[29]})\n",
"\n",
"file_path = 'data30.mat'\n",
"scipy.io.savemat(file_path, {'data30': spike_times[30]})\n",
"\n",
"file_path = 'data31.mat'\n",
"scipy.io.savemat(file_path, {'data31': spike_times[31]})\n",
"\n",
"file_path = 'data32.mat'\n",
"scipy.io.savemat(file_path, {'data32': spike_times[32]})\n",
"\n",
"file_path = 'data33.mat'\n",
"scipy.io.savemat(file_path, {'data33': spike_times[33]})\n",
"\n",
"file_path = 'data34.mat'\n",
"scipy.io.savemat(file_path, {'data34': spike_times[34]})\n",
"\n",
"file_path = 'data35.mat'\n",
"scipy.io.savemat(file_path, {'data35': spike_times[35]})\n",
"\n",
"file_path = 'data36.mat'\n",
"scipy.io.savemat(file_path, {'data36': spike_times[36]})\n",
"\n",
"file_path = 'data37.mat'\n",
"scipy.io.savemat(file_path, {'data37': spike_times[37]})\n",
"\n",
"file_path = 'data38.mat'\n",
"scipy.io.savemat(file_path, {'data38': spike_times[38]})\n",
"\n",
"file_path = 'data39.mat'\n",
"scipy.io.savemat(file_path, {'data39': spike_times[39]})\n",
"\n",
"file_path = 'data40.mat'\n",
"scipy.io.savemat(file_path, {'data40': spike_times[40]})\n",
"\n",
"file_path = 'data41.mat'\n",
"scipy.io.savemat(file_path, {'data41': spike_times[41]})\n",
"\n",
"file_path = 'data42.mat'\n",
"scipy.io.savemat(file_path, {'data42': spike_times[42]})\n",
"\n",
"file_path = 'data43.mat'\n",
"scipy.io.savemat(file_path, {'data43': spike_times[43]})\n",
"\n",
"file_path = 'data44.mat'\n",
"scipy.io.savemat(file_path, {'data44': spike_times[44]})\n",
"\n",
"file_path = 'data45.mat'\n",
"scipy.io.savemat(file_path, {'data45': spike_times[45]})\n",
"\n",
"file_path = 'data46.mat'\n",
"scipy.io.savemat(file_path, {'data46': spike_times[46]})\n",
"\n",
"file_path = 'data47.mat'\n",
"scipy.io.savemat(file_path, {'data47': spike_times[47]})\n",
"\n",
"file_path = 'data48.mat'\n",
"scipy.io.savemat(file_path, {'data48': spike_times[48]})\n",
"\n",
"file_path = 'data49.mat'\n",
"scipy.io.savemat(file_path, {'data49': spike_times[49]})\n",
"\n",
"\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d353eff4",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}