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{ | |
"cells": [ | |
{ | |
"cell_type": "code", | |
"execution_count": 37, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"%matplotlib inline" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 38, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from ecell4 import*" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 39, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from ecell4_base.core import*" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 40, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"sp1 = Species(\"Pyr\")\n", | |
"sp2 = Species(\"TPP\")\n", | |
"sp3 = Species(\"CO2\")\n", | |
"sp4 = Species(\"AcTPP\")\n", | |
"sp5 = Species(\"OlLys\")\n", | |
"sp6 = Species(\"AlLys\")\n", | |
"sp7 = Species(\"CoA\")\n", | |
"sp8= Species(\"AcCoA\")\n", | |
"sp9 = Species(\"RlLys\")\n", | |
"sp10 = Species(\"FAD\")\n", | |
"sp11 = Species(\"FADH2\")\n", | |
"sp12 = Species(\"NAD\")\n", | |
"sp13 = Species(\"NADH\")" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 41, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Pyr+TPP>CO2+AcTPP|1\n" | |
] | |
} | |
], | |
"source": [ | |
"rr1 = ReactionRule()\n", | |
"rr1.add_reactant(Species(\"Pyr\"))\n", | |
"rr1.add_reactant(Species(\"TPP\"))\n", | |
"rr1.add_product(Species(\"CO2\"))\n", | |
"rr1.add_product(Species(\"AcTPP\"))\n", | |
"rr1.set_k(1.0)\n", | |
"print(rr1.as_string())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 42, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"OlLys+AcTPP>TPP+AlLys|1\n" | |
] | |
} | |
], | |
"source": [ | |
"rr2 = ReactionRule()\n", | |
"rr2.add_reactant(Species(\"OlLys\"))\n", | |
"rr2.add_reactant(Species(\"AcTPP\"))\n", | |
"rr2.add_product(Species(\"TPP\"))\n", | |
"rr2.add_product(Species(\"AlLys\"))\n", | |
"rr2.set_k(1.0)\n", | |
"print(rr2.as_string())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 43, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"AlLys+CoA>AcCoA+RlLys|1\n" | |
] | |
} | |
], | |
"source": [ | |
"rr3 = ReactionRule()\n", | |
"rr3.add_reactant(Species(\"AlLys\"))\n", | |
"rr3.add_reactant(Species(\"CoA\"))\n", | |
"rr3.add_product(Species(\"AcCoA\"))\n", | |
"rr3.add_product(Species(\"RlLys\"))\n", | |
"rr3.set_k(1.0)\n", | |
"print(rr3.as_string())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 44, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"RlLys+FAD>OlLys+FADH2|1\n" | |
] | |
} | |
], | |
"source": [ | |
"rr4 = ReactionRule()\n", | |
"rr4.add_reactant(Species(\"RlLys\"))\n", | |
"rr4.add_reactant(Species(\"FAD\"))\n", | |
"rr4.add_product(Species(\"OlLys\"))\n", | |
"rr4.add_product(Species(\"FADH2\"))\n", | |
"rr4.set_k(1.0)\n", | |
"print(rr4.as_string())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 45, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"FADH2+NAD>NADH2+FAD|1\n" | |
] | |
} | |
], | |
"source": [ | |
"rr5 = ReactionRule()\n", | |
"rr5.add_reactant(Species(\"FADH2\"))\n", | |
"rr5.add_reactant(Species(\"NAD\"))\n", | |
"rr5.add_product(Species(\"NADH2\"))\n", | |
"rr5.add_product(Species(\"FAD\"))\n", | |
"rr5.set_k(1.0)\n", | |
"print(rr5.as_string())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 46, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"m1 = NetworkModel()\n", | |
"m1.add_species_attribute(sp1)\n", | |
"m1.add_species_attribute(sp2)\n", | |
"m1.add_species_attribute(sp3)\n", | |
"m1.add_species_attribute(sp4)\n", | |
"m1.add_species_attribute(sp5)\n", | |
"m1.add_species_attribute(sp6)\n", | |
"m1.add_species_attribute(sp7)\n", | |
"m1.add_species_attribute(sp8)\n", | |
"m1.add_species_attribute(sp9)\n", | |
"m1.add_species_attribute(sp10)\n", | |
"m1.add_species_attribute(sp11)\n", | |
"m1.add_species_attribute(sp12)\n", | |
"m1.add_species_attribute(sp13)\n", | |
"m1.add_reaction_rule(rr1)\n", | |
"m1.add_reaction_rule(rr2)\n", | |
"m1.add_reaction_rule(rr3)\n", | |
"m1.add_reaction_rule(rr4)\n", | |
"m1.add_reaction_rule(rr5)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 47, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"['Pyr', 'TPP', 'CO2', 'AcTPP', 'OlLys', 'AlLys', 'CoA', 'AcCoA', 'RlLys', 'FAD', 'FADH2', 'NAD', 'NADH']\n", | |
"['Pyr+TPP>CO2+AcTPP|1', 'OlLys+AcTPP>TPP+AlLys|1', 'AlLys+CoA>AcCoA+RlLys|1', 'RlLys+FAD>OlLys+FADH2|1', 'FADH2+NAD>NADH2+FAD|1']\n" | |
] | |
} | |
], | |
"source": [ | |
"print([sp.serial() for sp in m1.species_attributes()])\n", | |
"print([rr.as_string() for rr in m1.reaction_rules()])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 48, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from ecell4_base.core import*" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 49, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"from ecell4_base import*" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 50, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"edge_lengths = Real3(1, 1, 1)\n", | |
"w1 = gillespie.World(edge_lengths)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 51, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"(1.0, 1.0, 1.0) 1.0\n" | |
] | |
} | |
], | |
"source": [ | |
"print(tuple(w1.edge_lengths()), w1.volume())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 52, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"w1.add_molecules(Species(\"Pyr\"), 10)\n", | |
"w1.add_molecules(Species(\"TPP\"),10)\n", | |
"w1.add_molecules(Species(\"OlLys\"),10)\n", | |
"w1.add_molecules(Species(\"CoA\"),10)\n", | |
"w1.add_molecules(Species(\"FAD\"),10)\n", | |
"w1.add_molecules(Species(\"NAD\"),10)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 53, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"10\n", | |
"10\n", | |
"0\n", | |
"0\n", | |
"10\n", | |
"0\n", | |
"10\n", | |
"0\n", | |
"0\n", | |
"10\n", | |
"0\n", | |
"10\n", | |
"0\n" | |
] | |
} | |
], | |
"source": [ | |
"print(w1.num_molecules_exact(Species(\"Pyr\")))\n", | |
"print(w1.num_molecules_exact(Species(\"TPP\")))\n", | |
"print(w1.num_molecules_exact(Species(\"CO2\")))\n", | |
"print(w1.num_molecules_exact(Species(\"AcTPP\")))\n", | |
"print(w1.num_molecules_exact(Species(\"OlLys\")))\n", | |
"print(w1.num_molecules_exact(Species(\"AlLys\")))\n", | |
"print(w1.num_molecules_exact(Species(\"CoA\")))\n", | |
"print(w1.num_molecules_exact(Species(\"AcCoA\")))\n", | |
"print(w1.num_molecules_exact(Species(\"RlLys\")))\n", | |
"print(w1.num_molecules_exact(Species(\"FAD\")))\n", | |
"print(w1.num_molecules_exact(Species(\"FADH2\")))\n", | |
"print(w1.num_molecules_exact(Species(\"NAD\")))\n", | |
"print(w1.num_molecules_exact(Species(\"NADH2\")))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 54, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"10\n", | |
"10\n", | |
"0\n", | |
"0\n", | |
"10\n", | |
"0\n", | |
"10\n", | |
"0\n", | |
"0\n", | |
"10\n", | |
"0\n", | |
"10\n", | |
"0\n" | |
] | |
} | |
], | |
"source": [ | |
"print(w1.num_molecules(Species(\"Pyr\")))\n", | |
"print(w1.num_molecules(Species(\"TPP\")))\n", | |
"print(w1.num_molecules(Species(\"CO2\")))\n", | |
"print(w1.num_molecules(Species(\"AcTPP\")))\n", | |
"print(w1.num_molecules(Species(\"OlLys\")))\n", | |
"print(w1.num_molecules(Species(\"AlLys\")))\n", | |
"print(w1.num_molecules(Species(\"CoA\")))\n", | |
"print(w1.num_molecules(Species(\"AcCoA\")))\n", | |
"print(w1.num_molecules(Species(\"RlLys\")))\n", | |
"print(w1.num_molecules(Species(\"FAD\")))\n", | |
"print(w1.num_molecules(Species(\"FADH2\")))\n", | |
"print(w1.num_molecules(Species(\"NAD\")))\n", | |
"print(w1.num_molecules(Species(\"NADH2\")))" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 55, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"0.0\n" | |
] | |
} | |
], | |
"source": [ | |
"print(w1.t())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 56, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"w1.bind_to(m1)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 57, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"sim1 = gillespie.Simulator(w1)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 58, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"sim1.initialize()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 59, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"0.0 0.0003586529827968588 0.0003586529827968588\n" | |
] | |
} | |
], | |
"source": [ | |
"print(sim1.t(), sim1.next_time(), sim1.dt())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 60, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# sim1.step()" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 61, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# print(sim1.t())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 62, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# print(sim1.last_reactions())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 63, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# while sim1.step(1.0): pass" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 64, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# sim1.run(1.0)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 65, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# print(sim1.num_steps())" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 66, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"%matplotlib inline\n", | |
"import math\n", | |
"from ecell4 import *\n", | |
"from ecell4_base import *\n", | |
"from ecell4_base.core import *" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 67, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Pyr | {}\n", | |
"TPP | {}\n", | |
"CO2 | {}\n", | |
"AcTPP | {}\n", | |
"OlLys | {}\n", | |
"AlLys | {}\n", | |
"CoA | {}\n", | |
"AcCoA | {}\n", | |
"RlLys | {}\n", | |
"FAD | {}\n", | |
"FADH2 | {}\n", | |
"NAD | {}\n", | |
"NADH | {}\n", | |
"\n", | |
"Pyr + TPP > CO2 + AcTPP | 1.0\n", | |
"OlLys + AcTPP > TPP + AlLys | 1.0\n", | |
"AlLys + CoA > AcCoA + RlLys | 1.0\n", | |
"RlLys + FAD > OlLys + FADH2 | 1.0\n", | |
"FADH2 + NAD > NADH2 + FAD | 1.0\n" | |
] | |
} | |
], | |
"source": [ | |
"show(m1)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 68, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# obs1 = TimingNumberObserver([0.0, 0.1, 0.2, 0.5, 1.0])\n", | |
"obs1 = FixedIntervalNumberObserver(0.1)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 69, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"sim1.run(5.0, obs1)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 70, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# obs2 = FixedIntervalHDF5Observer(0.2, 'test%02d.h5')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 71, | |
"metadata": {}, | |
"outputs": [], | |
"source": [ | |
"# sim1.run(1.0, [obs1,obs2])" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 72, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 432x288 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"show(obs1)" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"metadata": {}, | |
"outputs": [], | |
"source": [] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 75, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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\n", | |
"text/plain": [ | |
"<Figure size 432x288 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"run_simulation(5.0, model=m1, y0={'Pyr': 10, 'TPP': 10, 'OlLys': 10, \"CoA\": 10, \"FAD\": 10, \"NAD\": 10}, solver='ode')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 76, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"data": { | |
"image/png": 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g+KpJ4my/3X+QvUUVNIwO5TijQrEIzOCZF4LZyDLPxK233pqO9+fTvtAc/YY/mUVTK2L4QrG0WFsgYQKiWOPjhj8+4sMidHGyYDROsU2P9Uc6OvXPfT5KNHjbgT6Oe/0J/H29/OILW/APDjB9Mqfu8SdKiiEWwde7cOXUekfGGIsluOb8t/Cxt62a9fFnfPMJ3nNSNbdddnJe/Q9KQW3Ax183vnvWYykU82Gpa+6mZJl//vOfp9vOPffctCzzxz72sXSoJx+vfylZvgHnBcJY4gYklVI38O2DATzVDsLJK7dEdK1sKSVjfb2Yk9LMwUg8fY7U7lzN509KK3sQQlBSUYXRZMLbm7sWb4q434dm1TdCTVe7d7bMZ3ftyFiMgdHIrI7tNdupl7FZj6VQHOnMVpZ5OXPUe/zCXoTRInFH9fh+W3+Q49ZUEhZ6HN80phv+8OgIsWEf5io9ep0y/DIWI3rwIKB77ZrPh9Gt3xUYjEbc1bVTCrdlIqVE8w8Tt+h3EFMpfM6Vtv6UxMLss29mq8UzHAwx7CymMTS5GI1CcbQzW1lmgIaGBl5//fWstrvvvnvK8+dqLwRHvcefkm2wh4axGA1psbaoVb90Q1DPXvH2dCGQ6fBOIKJ7/tGuLojrPwKa369LK2cobJbW1uObwZCnBNqiyXj5SH8/8Wh02mPypX1Ql1WocFlnf+ws7xZ2dOl3KmtLVKaPQnEkc/Qb/qRQW8LnZVWZg7Z+XaxNOo0YZAIC+saqlNde7tbz7FMefyrMA6D5fWh+X9YmLE9tHf6+XrT4eGhoIqldu5Gk8oGUCfyHJ1fymgttA7pe/lxkFdoGAhgNgpWl+ZVV3JksSXlS5WQdI4VCceRwjBh+Dc3npbnClVafjNuM2GWcsVE91OPr7cZoNlNTqe/gHQnrHnna8JtMaD4f8WQ+forS2noSmsZwf1/OKaQMf1gmMBh1rz+fdYF8aB8I0jzHClntA0FWljqwmPL7b7B3JAAywfoVkyWrFQrFkcPRb/gtLoyWBJp/hKYKZ1qsbcwMNk0jPDqClBJv9yE81bXUVuqr8QN+vQxjpKMDY1kZ5spK4j491JPp8aeF26bJ1EnJNYQTGpUNunyzbwEWeIOROL3DYzRXzi300j4QnNXO3M6Yhjs0SrF99mmjCoVi+XD0G36rC5M1gTY8QnO5k3hCctAbYkyAXSZIaBrRcBhfbzeltfXUV+qbRPq9+p1AtL0Da2MjRo+H+OAgxOOTQj3AtAu8KY8/EItSXFGFq6wcb/eheV9aSlZhLjVxtYSkYyg4q525XcJCbSw8c0eFQrGsOfoNv0WP8ctYnKYi/XLbB4IENA17Qs/sCfiG8PcdxlNbz4oaPX49mPT4U/V0jW432tAgkK2waXO6cJS4p03RjKcMfzSMvaiI0pq6BQn1pCQW5uLxd/vCROOJvD1+TdPodxSx8uj/H6NQHPUc/X/GVj2rB2ClSc8/bxsIMByJY5f6gujh/XuRCb3OrqfYhUDiHQ0RT6ZvWpqaMHo8GQqb2dLKemWuGUI9RiOBsF7kvbSuHm93V1Ylr7nQNhCcUlYhv2PHK23lw/6+fmJmC6udUyuXKhTHChNlmTs7OznppJMAePrpp7n44ouXcnp5cQwYfr3uLoAjHKTcZaWtP4A/HKM4uaGqZ48uulZaU4fBYMBqkPiDYb3ICmBpbNAN/7Ae/plYTEVX7Jwu1OPHUFKCRGIvKsZTU080HCI07J/XpbUNBKj3OCbJKuR7LOQfJnqtR1+8Pr50+cpKKxSLQT6yzMudo9/wW1wYLbpnrfl8NFc42X7Ij5aQlLl0T7l7zxsAeJILtTaTYCQUTWf06DF+N3JMFzObqKlfWltPeHSEcDJDaCKaz4dIyjGnPH5g3nH+2S7OZtI2EMTtMFPqzK+s4m6vHq5qqa+d03gKxdFALlnm6fjLX/7CP/zDP6TfP/7442zcuBFN09i8eTMnnXQS69at4/vf/36hpj2Jo37nbmoDF+h5+E0VDbzYoe/ErSzVjfFQ10GcnlKsSXU9p8VIOJQgtG8fwmzGXFeXFdefWEUrXZmrp5u6tZPl2jSfD5xOIIKtqJjS1IJwTzcrTlw/p8tKJCQdgwHOai6b0/HtAwGayp155//vD0Ww2CM0lM9tPIViIfnOS9/hTW/uClhz4bjS4/jiW784bZ+pZJlTRZxycd555/HZz36WgYEBKioquOuuu/jEJz7B9u3b6e7uTu/s9fvnFwGYDUe/x28wYHTp6Yeaz5/lIddWlwC64UsZbwCXzUwMI8G9ezGvWokwmcbDOwbDpGIq47V4pw73aH4/CYc+B3tRMUWl5Zis1nmJtfUMhxmLJeZcIat9MDirYw9KQWV4FMMyriegUBSa1tZWNm3aBIzLMs+EEIIrr7yS3/zmN/j9fl544QUuuugimpqaaG9v53Of+xyPPvooxcUzafwuHEe/xw8YXU4Qusefaezqa1x4hR1kKO2FA7idVrxDRmKdnRSfeIJ+jqThN7gm75ItrqzUxdpyGP6434dWVQEx3fALgwFPTd2MGj/T0TZLnZ1MUuJss0nl7LU4OCEamPVYCkUhmMkzLwS5ZJmvueaaGY+9+uqr+cAHPoDNZuOyyy7DZDLh8XjYsWMHjz32GD/72c+47777+MUvfrEIV3IsePyAsLkw2k3Efb4sQ7myvhghdE/cUzPu8budNhIJ4PBhLI36hqu04XdM3rxkMCTF2qZI6ZRSovn8xM36b6w9+as+35TO+ahypksszkaczVFEo+WY8BMUiilJyTIfOHCAzs5ODh06RGNjI4cOzbxWV1tbS21tLTfffDNXX301AIODgyQSCT70oQ9x88038+qrrxb6EtIsieEXQvyLEGKXEOJ1IUSrEKKwOYJWF0a7Ac3vp97jwGLUL7u60oHBpBvy1IIrgMtmoSw8gkgk0mUVU3F9YZ16qrlSOhOBAMTjRI0GjCYT5uTxpXX1DPf3zVmsrX1AF2crd+W3OJvJuKJnfj8a2w7p13WcW4mzKY5dcskyf+tb38pqe/LJJ6mvr08/XnjhBQA+9rGPsWLFCo4//ngAuru72bBhAy0tLVxxxRWTzlNIZnThhBCXAY9KKUeFEP8OnArcLKWc08+TEKIO+DxwgpQyLIS4D9gE3D2X8+WFtRijbUSve2sQNJQ7aB8IUmwzY7G7CEfJCvW4rEaqkxWmUoXU04bfNPVX5qmto+2VF9HicYwZfVK5/xGD0MM8yTCRp7YepMR/uIfylQ2zvqT5iLO1D85OnG1X/yDg4MTKylmPpVAcLeSSZc6UZt6wYQPh8NS7259//nk++clPpt+ffPLJi+rlZ5LPvfuXpZS/E0KcDVwI3Ar8FHjbPMe1CyFigANYGKnKXFhcGK0JYkO6MX9LpQt/KIYQAkdxCeFhI/d8bRdC7Kas1oXz1CIqk4b/P393P7E//hGAS00m9hoN/PYb3wCgrH+As596CkMigQd4F7C35RQQgpim7x0QUmICehImzM4iTr/5cUbCccoiA3wY+MX1n2c6EsLAM5Xnsd+1mnhCkrnlyyBgzb/9adZfR0zTqDTHJomzvfzH3/O/W389qf9zLefAaRs4WYmzKRRz4rTTTsPpdPLd7353qacC5Gf4teTz+4HbpZT/I4S4ea4DSim7hRC3AQeBMPBnKeWfJ/YTQmwBtgCsXLlyrsPpWF2YnQmCbd1IKfmXC9fQ7dd/lc+9YhNv/O96SmsbGOwa5eAuL5ZTi3GHR0hYLJy+4dzUvJH3/Y7quIbz7W8HwPXoY5jjcUYvvJBQKMiQz8/KmipixTX8eVcfJ9Tq2T+v9kcwuypYJXwMBqJc2lJLbckqtF0hxFho2qmb9vyV84uHeetbV/LLvx5gRamd8qT2/tqqIjx55uFnsvPJx6gZPgBk37Z27ngFh9vD8e84N6v9OfcqaoTEZVO7dhWKubDUZSMnko/h7xZC/Bzdof2OEMLKPNYGhBAe4FKgEfADvxNCXCGl/E1mPynl7cDtAKeffvr8tA0sLqxFUWRII97Xx+rqalZX6Ua5sWU1jS2rATi4a4iDu7wYIhrF0RCm0jIuvPBCALSREfbGYriAtyXbeh5/nGBNDW/98Y/wDw3ygx/9mFhdNbF1F3E3r/PSly4A4IZbnuR9sddYWeSAMfjUOc2cUFsMF50w49S3frWfRCJA00k1/PKvB7j5H9Zx7pq56+EnEho//PWNaPE44dER7EXjKWTenm5WrWvhnR/dnHXM11/ew/FqYVehOGrIx4B/BHgMeI+U0g+UAtfPY8wLgQ4p5YCUMgY8AJw1j/PNjNWFxaFnsmQWVpmIuyoZ8w5pFEeDyIy82lSsXmYsxkbaO7A2NujHlpVj0OIMeb34g3oft8OC26F75CNRSdyin9/jNOc9dU9tHd6ervH0zTlq76cY6e9PF43JzEKKhkMEvEN4arLDOQkp2R+K8BaH8vYViqOFGQ2/lDIE9ANnJ5viwL55jHkQOFMI4RD6yuQFwO55nG9mLEVYnHpIJdLenrNbUakNo9mAFohREg2SKCpJf5aSVk4kZRuklLpyZ0Njuo/NaCAQCuMNRXFZTVhMBiwmAy6rkUBcEElmEHkc+YdnSmvqGBsdYW+PF6vJQJ17flr43oxNY5kbzny9+jJL5kY2gN5IjHAiQbNj9qUdFQrF8mRGwy+E+ArwReCmZJMZ+E3uI6ZHSvkicD/wKrAzOYfb53q+vLAWYbIlMDgcaeG1qRAGgbvSgTYSoygaIp5h+FPSyomg7nlrg4MkAgEsTU3pPkUOB2MJiS8YzfLq3XYzYaOVsLDhsBixmfMXVSutWwHA3m4fjeVODIbZZ/FkkioAI4Qhax9BSjcoM60VoC1ZWP0tyvArFEcN+YR6NgKXAEEAKWUPUDTtETMgpfyKlPI4KeVJUsorpZSR+ZxvRqwuhADLqnqi03j8oId7ot4oxdEgUef4ZaZDPeEwMhol0q6HjCyNDek+ZaWlSKOJPl8gy6svtgjCBjsBYZmVtw/jhV46hkJzlmfIxNvdhc1VpIeQMnYOe3u7EcJASVVNVv99If0OR4V6FAo4fPgwmzZtorm5mdNOO433ve997N27l127dnH++eezdu1aVq9ezTe+8Y207Po999zD+vXrWbduHWeddRY7duxY4qvIz/BHpX4FEkAIMb8g81Jg0Q2mpb6aSGfuGD+Ap9qB5g1RFAszZs8w/L5xAaW43z+u3Jnh8VfX60a63z/B8JthzGhlRFpnFd8HKKmoQposHA7LOStxZuLt7aK0tp7S2vqsUI+3p5uSqipM5uz5tYUiFBkNVKrFXcUxjpSSjRs3smHDBtra2njllVf41re+RV9fH5dccgk33ngje/bsYceOHfz1r3/lJz/5CQCNjY0888wz7Ny5ky9/+cts2bJlia8kP8N/XzKrxy2E+CTwBPD/CjutBcaqG3BLbTnxnl4SodwplO4qB86oHs4JO8Y9bM3ng6RAmeb3E+1oR9jtmKqq0n1WNjYD4AvFsuSOXcYEYwY7Ps08a4/fYDSSqH4LEjErbZ1ceLu78NTWUVpbh7/vcHqh19d9aFJ8H2B/aIxmh21OG8UUiqOJp556CrPZzKc//el028knn8zevXt5xzvewbvf/W4AHA4HP/7xj/n2t78NwFlnnYUnKfly5pln0tU1d42uhWJGN05KeZsQ4l3ACLAW+L9SyscLPrOFJOnxW2v0Lz964AC25LbpiXiqHThj+g9D0JZt+A0uF4kRfQdwpKMDS0MDIkOtsr65GRIJAnGRZeAdIkbYaGMwLlg7h7z7sdKVMDo3QbZMIqEgoWE/pbX1ON0eElqc4f4+PNU1+Hp7WLmuZdIxbaEIb1dSDYplxuFbbiGye2Flma3HH0f1l76U8/PXX3+d0047bVL7rl27JrU3NzcTCAQYGRnJUt288847ueiiixZu0nMkr/v3pKE/sox9JtZkqCdZmzba0ZHT8LurHDiSHv+IZVzSQPP7MZQUJw2/j2h7B/b12Vr6JpMZQ0ISlQY8jvGQiSMRIWawcDiS4MxZevwAo85KGIVVnvnF2VNaQqW19ThKdAkKX28XRpOJeCw6aWE3qGl0R2JqYVehWACeeuop7rzzTp5//vX5180AACAASURBVPmlnkpuwy+EGEWP64vkc/ojQEopF088er6kYvxlNhAivTA7ZVebiWKzvtY8Yhn3sDWfD5OnlPihLuL9fcS6uym59NJJxxssdoiTtaPWpoUBM/6omHWoB8BrLMIZH0EbHgTn5HBM3udJLuZ6autwlnjSbUaj/t+gtCb73O3JjJ5mtbCrWGZM55kXihNPPJH7779/UvsJJ5zAs88+m9XW3t6Oy+VKe/uvvfYa//RP/8Sf/vSnGQu3LAY5Y/xSyiIpZXHGc3Hm+8Wc5Lyx6tM1EMFcWzvtJi6AYrtelN1nHjf8cb8PU4W+Yza8fQdIiaWpcdKxJpfuSRdbxmPilph+B4EQlM5ycRfgcNSMJ+afUvZ5Nvh6uzEYjbirarC5XDhK3Hh7usfvBFQqp0KRk/PPP59IJMLtt49nn7/22musXbuW559/nieeeAKAcDjM5z//eW644QYADh48yAc/+EF+/etfs2bNmiWZ+0TyyeNfOdVjMSa3YCRDPURGsTQ1EemYPqXTZdJTGL3GcU9X8w9jKi3F4HAQ2rZNP23jZMNvLdZ/zaP+/nSbOTJewMQ9S49fSsnBkbhu+OdZo9fb3UVJZXVaPdRTU4evtwtvTzdWpxN7cUlW/32hMQTQaFeGX6EQQvDggw/yxBNP0NzczIknnshNN91EdXU1Dz30EDfffDNr165l3bp1nHHGGfzzP/8zAF//+tcZGhris5/9LC0tLZx++ulLfCX5xfj/J+O1DV1jZw9wYkFmVAhMVjCYIRrA0thA6JVXkFLmzFSxEyZitOCL6p/rxVR8GD0ejB4PsW7d87Y0NEw61uKuBEKEBsYFR02h4fTrfIubpxgMRBmNaFQaI/jmUbgF9Bh/pldfWlfP/pdewGA0UVpTP+n7aAtFWGGzYDMeE/V6FIoZqa2t5b777pvys6effnrK9jvuuIM77rijgLOaPflINqzLeKwG3gq8UPipLTBWF0QCWJuakKEQ8b6+3F0TQQIWJ/6ArrmTGB0FTUsbfgBTTQ0Gx2Q9e7Nb16wf8x5OtxmC3vTr2cb4U5W2Vrkt8wr1JBIa/sM9WVo8pTV1hEdH6GvfPynMA7rhV2EeheLoY9auXLIAy3y0+JcGS5Hu8Se1dabbwWuMBgianYyG9Fh/SqfH6HGnC7KkxNkmEhG6YR8bHkq3idHx17P1+FPibG+pLslZ0zcfUuJsmbn6nuTraDikxNkUimOIfCpw/WvGWwN6Ba7CFk4pBFZXMsavG/5IRwfOs6YWBRWBEcIWB4GIvrkpJddgdLvTHn+qFu9EvKEoZjTCYX0vQCKhEQ+MYClPEMWA2zG7xd32gQBWk4G3rKzmuWdHCI0M45gQi8+HlDhbpuGfGPbJJCXOpjx+heLoIx+PvyjjYUWP+U/OY1zuWIsgMoqpogKD00l0mpROze8nYi8iFNNr0KQE2kweD0aP7vFbpljYBfAFozgMGmN6AS4iwSBSJrAaEhgNYlYCbaCXWGwsd1KeNMy+OYZ7MlM5U5RUVGFIpXJO2LW7P53KqQy/QnG0kc/O3a8txkQKjsUFY36EEFgaGxnbtYvwztcBMFdXpVM1QTf88dpmxrQE4Z2vM7ZrF4Ae43enPP6GKYfxhmIUm0EKIy899SSJWBTNYsMiJNEJi6cHhoIMh2PTTntvX4CWFW48tdX6MTu3YzTPPiW0d++b2FxFWXcLBqMRd3UNvp5uSqpqCGsJ9gT1jKbnfaOAEmdTKI5G8gn1PA5clizCkqqgda+U8j2FntyCYi2CYT0d0rp2DcO/f4DOyy4DwFRVxepnngZAxmIkRkZIrDASE7Bn0xVYtQgYjRhLy9gZs1EpDIRqVzKVkIE/FKXMZYUgPPLMc3pj80kYtQQGxg1/tz/MhtueRuZRW+wfz1hBSUUVZpudF+7/LS/c/9s5fQX1J5w0qa2yoQmDwYDJbObf93Zxd/dg+rNSs1GJsykURyH5/FVXpIw+gJTSJ4SoLOCcCoPdA2E9ZFN1/fUUJcsnBp55Bv+9W4n7fJg8HrRhPfXSJvVYzci/3cYpNUZMlZUYXU6eX3Uqj59/Hd9J2JnqS/AGo5y+qoaLKt/J2FiIUDjCiztfRxiMJLRxK/9m7whSwpcvPoGGssnZQSkMBsHbGksxGI189ObbGO7PnY00E5VTrEucf/WniEX0sM7royFOctm5oVG/u2iwW5U4m0KRweHDh7n22mt5+eWXcbvdVFVV8YMf/GDajVk/+MEPuPHGG+nr66OkZPbrc4Ugr2LrQoiVUsqDAEKIVWRLOBwZOMog5IVEAqPbTdF55wEgjEb8924l2tGhG/5kPL9kTP8BaC+q55zzjkufps0b4VBRFe0DQc5qLp80jC8YpdRp5W3n6/V2g8EgL+58HYOMoyXGQzTtyWydD51al/emrvIVqyhfsWoOF58be1Ex9iJ9r8L+UIRLKt28u3x5/OdUKJYTKVnmj3/849x7770A7Nixg76+vmkNf2trK2eccQYPPPAAV1999WJNd1ryWdz9N+B5IcSvhRC/AZ5lvBrXkYOjDKQGkeGs5tQibSq9M5XBU9bXBsDentGs/m3JvPrUcyaRuEYwqmXJMthseozcmIgRT0gicS19fJnTMuudvIViKKbhj2sqi0ehyEEuWeazzz6b66+/npNOOol169axdevW9OdtbW0EAgFuvvlmWltbl2LaU5LP4u6jQohTgTOTTddKKQenO2ZZ4ijVn0NePeyTxFxbi7BYiCT1e1IZPI6gn6KEXvkqxVhMo9sfBsY99kz8ybz/TGNuNBqx2+2YhqPpPlXFRtoHgvOWWV5I2pKVtpQgm+JI4Ln79jJ4aLLzNR/KV7h450dye+65ZJkfeOABtm/fzo4dOxgcHOSMM87gnHPOoaamhnvvvZdNmzbxzne+kz179tDX10dVRg2PpSIfrR4BvBc4VUr534BDCPHWgs9soXEkFfFC3qxmYTRiWbUqnd6ZWWmr2mSgOzheFbJjMIiUYDMbpvT4vUHduE/cpGWx2bCLWFaftoHAgpRSXCj2K0E2hWJOPP/881x++eUYjUaqqqo499xzefnllwE9zLNp0yYMBgMf+tCH+N3vfrfEs9XJJ8b/EyABnA98HRgFfg+cUcB5LTxpj39o0keWxkYie/cC46EegPoiG3/1h0gkEhgMhrSXf87qCh7f3cdYTMvKy/eFdKM+UZbBbLHhJJru4w9FGQpGl5XHvz80htUgqLctj9CTQjEd03nmhSKXLHMudu7cyb59+3jXu94FQDQapbGxMS3etpTkE+N/m5TyGmAM9Kwe4MizDvZpDH9TI9FDh5DRqL64azJhcDhornYTEdB1WDf4Kd2cC4+vQkroHMoO9/iCulc/0eMXZhtOEU33SckwLDePv8luxaiyeBSKKckly+x2u9m6dSuapjEwMMCzzz7LW9/6VlpbW/nqV79KZ2cnnZ2d9PT00NPTw4EDB5bwKnTyMfwxIYSR8WLrFeh3AEcWqVBP2DvpI2tjI2ga0a4uNJ8PYTBgaWzkuHpdx3/nfv3Hom0gQG2JjRPr9Pa2/mzD7017/BM2WBnNFBnG0n1SPyALUUN3oWgLRdQuXYViGnLJMn/0ox9l/fr1nHzyyZx//vn8x3/8B9XV1dx7771s3Lgx6xwbN25MZwQtJfmEen4IPAhUCiG+CXwY+PeCzqoQWIt0aeYpPX49vz3a0YHm9yNlAktTEyc1e+BJ2H1omPcD7YNBmitdNJbrIZr2CXF+fzJ+PzFTJ26wUJQM9fiDUUIxDbNRsMJjX+irnBPRRIIDYxEurXQv9VQUimVNLlnmW2+9lVtvvTWrrX0KIcjvfe97BZvbbMgnq+ceIcQrwAXoZRf/QUq5u+AzW2iESObyTx3jB4i0txMfGoJYHEtjA6tXujFJaOsLIqWkfSDIh06tw2ExUee2T1rg9YaiFFlNWEzZN1JRzFgNGi6rEW8oSrcvzKoyJ6ZlonPfGY6iSaXLo1AcK0xXc7c0420/0Jr5mZRycsxkueMonZTVA2B0uTBWlBPt6CQ+qGeqWhsbMZoMlBuNHBwJ0z8aIRCJ05ws2N5U4aR9cGKMP4p7itKKoYS+AFxiM+ELRmkfDNJUvrwWdkGlcioUxwrTefyvMF5sfSISmFqXeDmT2r07BdbGJqLt7emsnlT4p85upSM4lvbum8p1w99c4eL+V7qyKnl5QzFKp9iQFdQMOIBim5GBQIQDQ0HedcLS5/KmULV1FYpji5yGX0o5te7wkYyjFPrfnPIjS2MjI488ghzTvV/LKl0aocHj4NVAiDe69B2/qRTMpgongUic/tEIVcW6p+wPRacstDIS0w1/kUWws2uYmCaXlce/LzRGlcVEkWl2ktEKheLIJK8gsxDiEiHEbcnHxYWeVMGwl04Z4wewNjXqJRYBQ0kJhqTUwuqaIqSAx1/vw2ExUp008inPPzPO7w1Gp/T4vVH9a3aaJCNjenGXVMhoOdCmKm0pFMcU+ezc/TbwBeCN5OMLQohbCj2xguAo0xU6E5OzUTMLq5irq9Ovj1+lC5b9vctPY7kTg0EP6zRX6h57W4Z0gy8YnVJ7Z2hM17SzG8bHbS5fHoZfSqlSORWKY4x8PP73Ae+SUv5CSvkLdPmGI9PrzyHUBhMM/4oV6dfrVuv5/5qUWRuuqottOCzGdErnVAJtKQbCuuG3CV2grcxpoWSWJRgLxWAsrsTZFIo8MRqNtLS0pB+dnZ3pz6699lrq6upIZDiWd999NxUVFZxyyimsXr2a97znPfz1r39dgplnk28+YWaC97w1e4UQbiHE/UKIN4UQu4UQb5/vOfMiU6htAubaWkSyspW1eXzdurTERlFyfTtTYkEIQVOFM+3xpwTaPBNi/DEtwciYhjBZsKD3WU47dscXdlWoR6GYCbvdzvbt29OPhoYGABKJBA8++CArVqzgmWeeyTrmH//xH9m2bRv79u3jxhtv5IMf/CC7dy9tRnw+hv9bwDYhxN1CiF+iZ/t8c57j/ifwqJTyOOBkYHG+hRxCbaCLtZkq9dIq1rVrsz6rtug/CBN32jaVu9Ief0p8baJOT0q/x2SxYU5EkudZPgu7qrauQjF/nn76aU488UQ+85nPTCu/fN5557Fly5Ys2YelIJ8NXK1CiKcZF2X7opTy8FwHFEKUAOcAm5Pnj0JyW2uhmUaoDcBQXAzd3dhOWpfVvrLIzr6hKM0TMnFWlNp5eEcPn/zV3/EnDfwLbUP0Do+l+wwFdMNqsdmJxccA65J7/LsDYZ5L1tR9cmgUmxJnUxxhPHX37fQfmLwzdj5UrmrivM1bpu0TDodpaWkBoLGxkQcffBDQVTgvv/xyLr30Ur70pS8Ri8Uw56iNfeqpp/Lzn/98Qec+W6bbwHXqhKau5HOtEKJWSvnqHMdsBAaAu4QQJ6PfQXxBSpm1G0oIsQXYArBy5co5DjWBtMefw/C7XCAElhX1We2n1ZXw4sAw1dbsf8ixqIYEHn9jvBzir/82WYDJZBCUFDkhGKDIVsYZjaWT+iwmX97XzfP+8Wykd7hdSpxNociDVKgnk2g0yiOPPML3vvc9ioqKeNvb3sZjjz3GxRdPvRQq8ym0XWCm8/j/DrwOpIquZFoGiS7TPNcxTwU+J6V8UQjxn8CNwJczO0kpbwduBzj99NMX5ptKKXROIdQGYDCbsZ144qQ6sxe31CKfHWDMG4Hy8fq4QggsRsET152bfG3IkmlOYTEaeOyRhwn4Btn51aWvUb8vNMYHqzx8a3UdAC6Vv684wpjJM19MHnvsMfx+P+vW6ZGCUCiE3W7Pafi3bdvG8ccfv5hTnMR0hv9f0QXZwsC9wINSyoUoedMFdEkpX0y+vx/d8BeeaYTaACKdHThOO31Su7tKN/b+vhB1a8ard7UNBGiuLGJl6cwxe4fDQSgUmrFfoRmNa/RF4xzvtFFizkejT6FQTEdrayt33HEHl19+OaDX2W5sbJzy7/2ZZ57h9ttv56mnnlrsaWaRc3FXSvkDKeXZwOeAFcCTQoj7hBAt8xkwuT5wSAiRWkG9AH1/QOGZRqgtEQoR7+nF2jR5w3KRx4bJbMB3OPsfsn0w//KJDoeDeDxONLo4yxm5UIu5CsXCEQqFePTRR3n/+9+fbnM6nZx99tk8/PDDAGzdupWWlhbWrFnDLbfcwu9///tl7fEDIKVsF0I8BNiBK4E1wPbpj5qRzwH3CCEsQDuweKXncwi1RZPFETLz+VMIg6CkyoG/b9zwR+Iah7whLm2py29Yh37XEAqFsFiWbiE1VVtXpW8qFLMnEMgOejgcDrzeyfbkgQceSL/evHlzoac1a6Zb3G0CNgGXAofQwz23SCnD8x1USrkdmBxTWQxyCLVFktrZUxl+AE+Vg/4DI+n3B4ZCJCQ0z8LjB93wu91Lp3u/PxTBKKDBrrJ4FIpjlek8/v3Aa8BDwAiwEvhMauFTSrk8KgrMlhxCbdGOTj2jJynONhF3tYO2V/uJxzRM5vEdu015Si/Y7XrRlaWO8+8PjbHSZsFiWB61ABQKxeIzneH/Oslyi8Dy2Wo6X3IItUXb2zHX1qbF2SbiqXIgJQz3hymrc6V37M4mxg96HvBSsl8JsikUxzzTyTJ/dRHnsXhkCrVleL2Rzo60Bv9UZGb26IY/QHWxDac1v8yYzFDPUqFJSUc4wobSoiWbg0KhWHqOvfv9KYTaZCJBtKMTS2NDzsNSht+XXOBtGwimFTrzYTmEerrGokQSktXK41cojmmOTcMPWQu88b4+ZDiMdRqP32Iz4XRb8R8OJevvBvKO7wMYDAbsdvuSGn6VyqlQKGAawy+E+ELy+R2LN51FYAqFzmhHBwCWhumLjnmqHfj6QgwEIoyOxfPO6EkPvcSbuFQqp0IxPxZalnnz5s3cf//9WWO4XLpDuX37dt7+9rdz4oknsn79erZu3bpg1zGdx5/Krf/Rgo22HJhCqC3SnjT8U2zeysRd5cB/OEhbfzKjZ5Zia0tt+PeHIrhNRsqmkJVQKBQzs5iyzA6Hg1/96lfs2rWLRx99lGuvvRZ/sib4fJnO8O8WQuwD1gohXst47BRCvLYgoy8FUwi1RTs6MDidmCoqpj3UXeUgOqax/2B2/d18WQ6hnmaHdZIWkUKhmB+FkGVes2YNq1evBqC2tpbKykoGBgYWZL7TZfVcLoSoBh4DLlmQ0ZYD9skef7RDz+iZySB6qvUF3q6Do9jMBmpL7LMa2uFwcPjwnBWt501baIwNpcVLNr5CsVD4H24j2hOcueMssNQ6cX+gedo+hZBlvv7667n55punHfell14iGo3S3Dz9/PJl2lzEpK7OyUlphTXJ5j1SytiCjL4UpITaMhQ6Ix0dOM6YeSNxKrPH2xuksdyVrr+bL6lQj5Ry0b3ulDibKrGoUMydQsgy33rrrXz4wx9Ov0/F+FP09vZy5ZVX8stf/hLDAm28nDEJXQhxLvAroBNdmnmFEOLjUspnF2QGi80EobZEKES8txdrDqmGTFJibRFfhOaVs5ddSAm1xWKxRdfr2Z8usagMv+LIZybPfDEppCzzyMgI73//+/nmN7/JmWeeuWBzzmf30feAd0sp9wAIIdYArcBpCzaLxSZDqC2aXJW3NOZO5UwhDILiSjvmvhHq5lBFaymF2vYnM3qaVUaPQrGgFEqWORqNsnHjRq666qqsO4KFIB/Db04ZfQAp5V4hxNTBqyOFDKG2SCqVMw+PH8DstlDaK2adyglLK9TWpsTZFIoFJyXL/LOf/SzdNpUs8/PPP08oFKKxsTFvWeb77ruPZ599lqGhIe6++25ATw9NrTHMh3wM/9+FEHcAv0m+/xh6da4jlnhYYuh9mbEvrccYDFJ2fBRLw9TibBOJ2I0UJwSNHsfMnSdgtNl5ek0Lz7+6B+OOtlkfPx8OmW1Um81KnE2hmAcLLcucMuhTjXHFFVdwxRVXzG2iM5CP4f8McA3w+eT754CfFGQ2i8RIpxFnFEyWAQyuGM71GsKUn0H0GRMYEJQmZm9ABxxFvFnTQEl0DEtCm/Xx80FExlgz1APM31tQKBRHNvkUYomgx/mPTBnmKRjtL2Nk7N00tP4WtrfCHz4NvgNQ/pYZj+3S4qwAIr6IXjZ+FgQM+sape9++nlOKZ3/HMB/+/Oc/8+Le10gkPrBgmQEKheLI5Ji0AJp/GGMqxl6ub5BgcG9ex+4N6rLKE8sw5oMvpnv5pUuwc7a8vBxN0xZs559CoThyOTYNv8+H0ZMsml6W9PKH9s14nJSSfd4Qms2QVYYxX7yxOAClS1DkvKxM37E8ODi46GMrFIrlxbSGXwhhFELctliTWQyklEnDn/T47W5wVubl8Q+MRhiNxDG7LfgOz37XoDcWxywELuPi/96Wl5cDyvArFIoZDL+UUgPOXqS5LAoyHEZGIuOhHtDDPYP7Zzw2VXXLnSy8PnEH3kx4Y3E8ZuOSaOU4nU7sdjtDQ5OrjykUimOLfFzPbUKIPwohrhRCfDD1KPjMCoSWjHGbUqEeSBr+mT3+9kE9zapuZTHRMY3QSHRWY/ti2pKEeVKUl5crj1+hmAdCCK677rr0+9tuu42vfvWrWX1aWlrYtGlTVtvmzZtpbGzk5JNPZs2aNVx11VV0dXUtxpSnJB/DbwOGgPOBDyQfU+9FPgKI+3wA4zF+gLLVunZPcHpvuK0/iM1sYNWqEgD8s1zg9cbiS2r4y8rKlOFXKOaB1WrlgQceyPl3tHv3bjRN47nnniMYzA4H33rrrezYsYM9e/ZwyimncP755xONzs55XChmNPxSyquneHxiMSZXCDSf7vFnh3qS+nMzLPC2D+pVt0pr9V27vlku8A7F4kuS0ZOivLycYDC45AXfFYojFZPJxJYtW/j+978/5eetra1ceeWVvPvd7+ahhx6aso8Qgn/5l3+hurqaP/3pT4Wcbk7yEWlbA/wUqJJSniSEWA9cIqWcXkd0mZIK9WR5/Kn8/cF9sDK3EFLbQICT69243FZMZsMcPP6lD/UADA0NUV9fv2TzUCjmy5/+9KcFlzivrq7moosumrHfNddcw/r167nhhhsmfbZ161Yef/xx3nzzTX70ox/x0Y9+NOd5Tj31VN58800uvfTSec17LuQT6vl/wE1ADEBK+RqwadojljHaVKEe9yowWqb1+MdiGl2+ME0VLoRB4E6WYcyXhJT440sf6gGV2aNQzIfi4mKuuuoqfvjDH2a1//3vf6e8vJyVK1dywQUXsG3btinlHFLMNjlkIcnHCjmklC9NyESJF2g+BUfz+UAIjMUZBUkMRiht1j3+HBwYCiElaXE2d5WD/s6RvMcdiWtocmk2b6UoLS3FYDCozB7FEU8+nnkhufbaazn11FO5+uqr022tra28+eab6XKMIyMj/P73v+eTn/zklOfYtm0bF1xwwWJMdxL5ePyDQohmQAIIIT4M9BZ0VgVE8/sxFhcjjBMMcPlbpjX8bQN6Rk9zUo7ZU+VgZGiMeCw/zR1vetfu0nn8RqMRj8ejPH6FYp6UlpbykY98hDvvvBPQa+7ed9997Ny5k87OTjo7O3nooYemLMMopeSHP/whvb29vPe9713sqQP5Gf5rgJ8DxwkhuoFrgU8XdFYFRPP7ssM8KcrXgK8DtKmLi7UnDX9jedLjr3aAhOH+/BZKfcldu54lNPygUjoVioXiuuuuS/8tPffcc9TV1VFbW5v+/JxzzuGNN96gt1f3k6+//vp0OufLL7/MU089teh1OVLkI9LWDlwohHACBinlaOGnVTjivhyGv2w1JOLg6xzX78mgbSBITYkNp1X/yjxVycyewyHK6mYuyjK0hHINmZSVlbF//34SiYQSa1MoZkmmLHNVVVVWsZW//e1vWX2NRmN6AXoq+eWlZMa/fCFEmRDih+hyzE8LIf5TCFFW+KkVBs3nz07lTDGDWFv7QICmjOIrqfq7+Wr2jOv0LF2MH5RYm0KhyC/Ucy8wAHwI+HDy9dZCTqqQaH5/Do8/I6VzAlJK2geC6fg+gNlqxOWxzsLwL32MH5Rmj0KhyM/w10gpvyGl7Eg+bgaq5jtwUgBumxDiv+d7rnyZJNCWSVqsbbLhT4mzNZVnl1t0VznyFmvzLaFAWyYqpVOhUORjhf4shNgkhDAkHx8BHluAsb8A7F6A8+TNlAJtmZSvmTKXPyXO1lyZHcv3VDvzFmvzJnftLoVAWyZKrE2hUOSMOwghRtFTOAV6Jk+q5q4BCAD/31wHFULUA+8Hvgn861zPM1umFGjLxGiGrhcnNadSOZsqsg2/u8pBdEzjri/+L9OZc5PVSN+lFUse5klRXl7O9u3b2bNnDwCrV69ekt2DCoViachpiaSURQUc9wfADUDOMYQQW4AtACtXrlyQQacUaMsk5NXTOUd6obgm3dw+oIuz1RTbsro3n1qBvz+EFk/kHDMSjNP2aj8DoSieoqVJ3ZrIhg0beOONNwDo6upi165dXHLJJUt+N6JQKBaHvFzQpD5PQ2Z/KeUDOQ+Y/lwXA/1SyleEEBty9ZNS3g7cDnD66acvyN7mtEBbLsMfSWaq9mzLNvxJcTaDIdswOkusnPOPa6YdM+CL0PZqPz5NY8USZ/SkaG5uprm5GYCXXnqJRx55hNHRUYozdzMrFIpJCCH413/9V7773e8CuixzIBDIkmZuaWnhuOOO49577023bd68mWeeeYbi4mLC4TBnnnkmt9xyS1ozq6GhIS35APD0009z22238d//XZgl0HzSOX8B/AI9q2chZJnfAVwihOhEzxg6Xwjxm+kPWRjSAm1TxfilhEBS9Onwa1kftU1I5ZwNNpf+WzksE8sm1JOJWuxVKPLnmJFlBs6UUp4upfz4QsgySylvklLWSykb0MXe/iKlvGKu55sNUwq0pRjthVgyNXNgT7o5Jc7WXDHzJq2pMJmNGK1GRpHL0vBnKnYqFIrpOWZkGe7TqQAAIABJREFUmYEXhBAnSCnfKPhsCsyUAm0pMjduedvTLzuHgkjJnD1+AErMJMTSb96aiuLiYsxms/L4FUcUe/d+g9HAwiYFFrmOZ82aL8/Yr1CyzOeddx7GpIZYIBDguOOOm+OVzEw+Hv+v0I3/HiHEa0KInUKI12Y8Kg+klE9LKRetmpfm900t0AbZ+fsj3emX7alUzjl6/ABxtxlY+s1bUyGEUPo9CsUsKJQs81NPPcX27dvZvn07d9xxR0HmniIfS3QncCWwE8idvnIEkHPXLsDQfjDZIR6G0JCe3WM0TxJnmwvx4uVr+EGP8y9l/U+FYrbk45kXkmNBlnlASvnH5K7dA6lHwWdWAHIKtIEe6qlYC0YryAR4O4DJ4mxzIeLU7zCWWpkzF+Xl5fj9fmKxqZVJFQpFNseCLPM2IcRvhRCXCyE+mHoUfGYFIKdAG8Dgfl2ozZ78PLmDt30gMK8wD0DEoRv+5RjjB7XAq1DMhaNalhmwAxHg3RltEphTHv9Sovn92E44YfIH0RAMH4TyK/WMnkAfDO5FyvfRNhDkg6fWzWvcsE3/fXUvUxnkTOG26urqJZ6NQrF8KZQsc2dnZ9b7DRs2sGHDhnnNdTry0eO/eqY+RwLTCrR52/TnsreAswIMJhjcz8BohMAU4myzJWQRGDSJMayB1TyvcxWC0tJSQHn8CsWxwoyGXwhxF8myi5nMJ5d/KUgJtE2p05NK5SxfA44yEEYY3JtTnG22BM3gCEsiwTiuHJGmpcRisVBSUqIyexSKY4R8Qj2Ze4ZtwEagpzDTKRzT7tod3A8IKGvWDb9MwNC+nOJssyVgAEckwVhw+S6eqpROheLYIZ9Qz+8z3wshWoHnCzajAjGtQNvQPnCvALMdHKWQiEHYR29vN3azcZI422wZERJHRDIWWL6Gv6ysjEOHDiGlVGJtCsVRzlxWG1cDlQs9kUIzrUDb4F695i7ohj9JpPdNGsudk8TZZsuwTGCPSsLL2PCXl5cTjUYZHT2iSyorFIo8yEekbVQIMZJ6AA8DXyz81BaWtE7PxFCPlOOpnKCHepKY/PvnHd8H8Ce0IyLUA0qsTaE4FpjR8Espi6SUxRmPNRPDP0cC6Rj/RI9/pAdiwUmGXxrMlIY6553Rk5ASX0zDpbGsQz3K8CsUMyOE4Lrrrku/v+2227IkmUGXZd60aVNW2+bNm2lsbEzn8V911VVZu+UbGhqy/vaefvppLr5YV7O55557WL9+PevWreOss85ix44d876OnIZfCLFyuse8R15kcgq0pUotpkI9dj3UE7dX0Ch65yfOBgzHNRJACYZlbfiLioqwWCwqpVOhmIalkGVubGzkmWeeYefOnXz5y19my5Yt876O6RZ3/4fx0ospJFCBHuNfnttQc5Al0JbQwJ9UnTj0sv5cniyokvT4Q+YS1oguItZB8EbA7tEfUkIsDBaH3i8WwmF2TBqvZyhIKBKnOymDUGIwzDvGnxiLk5hHuMhYYkWYsn/rpSZBSoTJQFlZGYcPH04LSzmdTqxW67zmrFAcTWTKMn/zm9+c9HlKlnn37t38/+2deXhcV5mn33Nv7VWqKqkkWZYsS/KGbezY6ZgsgHsCCZ2NhBA6PA0JM9lg6DRL0jwMTYdhWJPuoSFAd6ZDIMsA3RAaCCQhDskk0ODuhAQ7dpzVkSXZlqyltJRKtVfde+aPW1VSabN22aXzPo8eq27dOvfcsv2rr77znd/3y1/+clJ3zoIt80MPPcSePXtO2vb0rW99a/H3c889d0F8taZrvbh97GMhRDNWbv9C4PZ5X3mJMSJj7Bqe+Bw8+39Gn3QFoCK/YzW/uBuVHpq0V+HBP7WOO3zw6VZofQoe+u9wyyH2Dr3CLb+5hT1X7aHGU1Mc7tnDfVzZVVrx2iDFvHL80pT0fP2PmCNzH8O1pYrq//bmkmORR46Q7YlT+9Ed1NbWcvDgwaLrYDAY5JZbbpnz9RSKxeJ/vtHJS7Hkgo65zefmyxvXnPS85bRlvvfee7nkkktmektTMpMNXBuB24BzgK8Dn5BSnro5iykwYjG0inyL3679ULsV3vZJ63H1RiiUMNqc4PBxVKzhe7bdfPHyLXDsGdj3AMT6oP91yMSg71UORg6SNtK8NvhaifC/0BsF4It2H54cyP1h1utO2mLpuc8/msEcyeJ9Sx2Oltm3SEz8sZdMZ2zC8czRKNm+BNKQXHjhhaxbtw6AtrY2Dh48SCKRwOOZ+I1GoVipjLVldrvdxeNjbZkbGhq44YYbGBwcLO6MH89ktszjWy+Of/7ee+9l7975V9NPKfxCiG1Ygv9m4H8DN0opjXlfcZkw4wk0bz5f338Ytl4BO/5i8pM9VWSTUY7UXQo7zgGn3xL+xIDVkD0/RnvccvBsH25n95rdxZe3JtJ4NcmH/8s6ZCJH9+Pd9De655Xjz4UtTxD3zhpc62e//deIZki3DWOmcmgu669dmpJcfxIMiTGUoqK6gh07dljXcbs5ePAg/f39C9bsXqFYKGYSmS8mS23L/OKLL3LTTTexZ8+eYrvU+TBdVc9B4Dzg98DZwJ1CiG8XfuZ95SXGjMUs4Y8PQHJwdDF3EqQnhJ6KjC7sFmr7E4OW+AMMtNIx3AFAR7Sj5PVtuSzNWdA0Dc1tefM4hSCTMjByc2tpkAtbX2vtNe6TnDk59mp3yTgARjSNzFrzyfaXfm0u/ONSi70KxUSW0pb52LFjXHXVVfzgBz9g06ZNCzL/6YT/BuB/Ac8B+yb5Oa0w43FL+AtVPNVTv4EZRyV+OTxqx1yo7U8OFiN+M3yYo1FrgXi88LfrknXCiqqFLhAuG458Jmmuef5sOIFw6mgVc7NxtdVa6ZqxAj/2Q6DwjaJAMBhE13VV3qlQTMFS2TJ/6UtfYmBggJtvvpmdO3eya9euec99usXd/zvv0U8hzHgczecdbbFYvWHKc6OigipGxkT8eeFPDBQj/p7Bw6QCJg7NQftwe/G1sWSWHqdgvTn6F6p7bdhMK5+XimXxBmZfKZMLJ7HVuOdsp2CrcoEGub5RgS/+bhMlHwJgWcpWVVUp4VcoxrActszf+973FrwV46lpEL8ImPE4eiHi1x0QbJry3H7TR6UY04DFFQChlQh/R7IXgHPrz6U/2c9IxrI6eKPbWtjdEBhNyWheO7phpVTmmufPhZPYa+a+yCpsGrYqt5XTz5PtTyKcOo6GCrLjIn6wNnWpVI9CUX6sCOGX2Swyk7FSPf1vQNV60KbehtCd9VAhktR582+PpoMrmM/xD4InRHu+m9b5jecDFPP9h/utiGBT9ajVg+axI/K59LmkesyMgTGcxlY9t/x+AVu1m+zYiD//LcJW454Q8YOV5x8cHMQwTts1fYVCMQkrQvjN/A66ovBPk+YBOJ60BFZLDY0e9IQg3g/pYWg8h3a7nQrdxVm1ZwGjef7WkSRCSjbUVRRfqnlsiLQlnnPZxFUQZdscF3YL2Grc5AaSyHzaKRdOYK/xYK/xYMaymMlcyfnV1dWYpsnQ0NBkwykUitOUmZi0bRJCPCWEeCn/+AwhxOcWf2oLR1H43S4Yap92YRegNZ7PzyfGpDk8IaslI0DjOXTY7bTYfDRWNKILvZjnP5LOUJ8Gj2u005bmtSPzojqXVE+u34rS7bXzq6e313ggJzEiacy0gTGcKUb8wIR0j+rFq1CUJzOJ+L8LfBbIAkgpXwSmKIA/NTFieeGXcTBz05ZyprIGrbH84muhZh8s4U/kFzqDjbQ7nDSbArtup7GisRjxt2HQbJa+rZrXjsyaOJ36nIQ/25cEAbbQ/PoCjBX4Qq5/rPCPT/cUSjrVAq9CUV7MRPg9Usrnxh3LTXrmKUox4s/lhXyaiL9jIM6gzKdpSiL+SkhaKY+4w0ufLmhJWhFys7+Z9uF2DMOkwwEbbKXFUprHelzhtc0px5/rT6JXuhD2+dkjjRX4QvmmvcaTr/iZWNnjdrvxer1K+BWKMmMmwt8vhFhPvu+uEOLPge5FndUCUxT+TNg6ME2O/0hfnKFJhT8EqWEAOqRlvdAc7QMpaQm0cCx6jGP9I6R0wXpvaWSue6y0j89jm1uOvy8x74VdsL55CLeNXDhBNlz4FuFG6Bq2kGvKyh4l/AqFRWdnJ+95z3vYuHEj69ev55Of/CSZTKbERvmBBx7gYx/72DLPdHpmIvx/BXwH2CyE6AJuAf5yUWe1wBSFP9UNvlVWeeYUtIVjRMhX5IxP9ZjWF52OrFW62ZIYhniY5kAzGTPDH463ArChsjQXr3kt4fc6dVKxk9uwjqVgqzDXHbtjEUJgz1fw5MKJ/LcI65+ArcYzZWWPyvErFNaO26uuuoorr7ySN954g8OHDxOLxbjtttuWe2qzZiaNWNqklBdi2TFvllK+XUrZsegzW0CKwp84Pm1+H+BIOEZ1oAIcFdZO3QLuUaOl9nQ/GoLGbA76D9MSaAHghQFL+DfXlZqoFVI9brs261RPwVbBNo8a/rHYajxkw8n8voDRDxN7oeLHKDWOqq6uJpFIlGxUUShWIk8//TQul6voz6PrOnfeeSf33XffSf9/3HfffSVOt9/97ne59dZbicfjXHbZZezYsYNt27bx4IMPLuo9FJiJO6cTeB/QDNgKO0ellF9a1JktIEXhH2mDjdN7X7f1x1lX44NY5cRUD4DuoiPWSYO3DgdHof8NmrddCcCR+FG82ibqKkuj80LE77TPvhnLQpVyFrDVuDH39WImsjjXBUqOF8zaxqaVxnbmUmZtilOFLz7yMq+ciC7omFvr/fyvy9885fMvv/wyZ511Vskxv9/P2rVraW1tnXbs97///Xz1q1/la1/7Gna7nfvvv5/vfOc7PP7449TX1/OrX/0KgOHh4fnfyAyYSarnl8B7sBZ042N+ThvMuLWpSs8NTbuwK6WkLRxnfY03X8UzifA7fXQMd9AS3AA2Nwy0UumqJOgM0p3tojljmbONpWjUps3eqG3UnG1hIv5ilG/Ion8PUPxGMd6sTZV0KhTzx+fz8c53vpNHH32U1157jWw2y/bt29m+fTtPPvkkn/nMZ/j9739PIDB1GnohOWnED6yRUp7cQm6GCCEage8Dq7AWjO+RUn5rocafDDMeR9htCJ1pUz19I2li6ZwV8Y+EJub4AdPh4Wj0KOesPgdCGyyLZ6zKngORE2zVJr6lQhcIt42Ce08qPnO/nlFzNvvJT54BY1NGYyP7wgdCri8Bm0fTWsqsTXEqMl1kvlhs3bqVn/70pyXHotEox44dY8OGDTzxxBPTvv6mm27i9ttvZ/PmzcV00aZNm9i/fz+PPfYYn/vc57jgggv4/Oc/v2j3UGAmEf9/CiG2n/y0GZMDPiWl3AqcC/yVEGLrAo4/ASMeR3PmhbN6auE/Era+Gayv8U0S8Vti2GNzkDJSVl6/emPR9G2NrwnD6GaDc3K3Pd1TatQ2U+ZrzjaeglkblG4I0zx2NK+txMsHrG8vyqxNoYALLriARCLB97//fQAMw+BTn/oU11133YyaFZ1zzjkcP36cf/3Xf+UDH/gAACdOnMDj8XDttdfy6U9/mv379y/qPRSYrhHLS4CZP+d6IUQbkMbqwSullGfM5YJSym7y5aBSyhEhxKtAA/DKXMabCWY8jubUQHdCsDRP3dcbY9/LfSQCDp5rtyL8dTVeOp1V3B38E4yDT5EzUkTjrVzq8/JHlwvI0J4L8ZPq86E/AX94lO5BA90cJjv0Hzz89DhjU5uDTdqfkksITvhbefTJFI5KqBzSseemF/SWo06GAgZP//KxkuNCCN5+7k7W1K6e1XtRMGszRjJovtJvEbYaD+mOKPF9vSXHg7qP/p7wrK6jUJQbQggeeughbr75Zr785S9jmiaXXnopt99+O88880zJuQ888AC/+MUvio+fffZZ1qxZw/vf/34OHDhAZWUlAIcOHeLTn/40mqZht9v553/+5yW5l+lSPQ3AzsW8eL6P75nAHyZ57iPAR4B5Lyqa8QSazYTKpgnmbH/80cs09aS4DCvar6lwUud38QG9iX9v+gsYBHf0UXyRB/nPmhAQRQo73zhhR+o7YPMOSIDDvp4A8P+GH+bB2JEJc/hCspasNHn4zd/hz16/njMiO9nmn1n6pu+YZLB14q7dB1uf5lN/fc2s3w/H2gqMWHbCtwjHmgpie7sY+rfDJcc9NpNWfYhcJovNsTApJ4XidKSxsZFHHnlkwvGxNsrXXXcd11133aSv37t3L7feemvx8UUXXcRFF120GFOdlumEv11KeXSxLiyE8AE/A26RUk5YnpdS3gPcA7Br1y45/vnZYMbjlvB7J0bHZjRLAI3f/eXbwOeg0mtH0wSdthps2V7+rcnGnYk3eAWNn3V1I4LryHzwYSqc+UWYWB/kMjz4ZIQfAJ/YcSlvqR2TGRvphp/fBFVr2J/sAyD4Zyneaq6CJwZJXlKFWTmNmApo8em0jBPpX9z9HHJgbh57le/bmN+OV0rg0hZ85018j1Y/lePgK0fpP9pL3TK3vFMoTkcikQhnn302O3bsmHG7xcVkOuGvFUL89VRPSim/MdeLCiHsWKL/L1LKn891nJlixuPoes6yXRiHnsoBOrVZcIVG83T9ohJvpp3zMkH+wYghMAnlslQbGQjWjg7gbgRgzbAL/OCqXENj43mjzycGIWcQsecYGbE2fo2ICKtEBVEGWX/uZjTn7K0YbNXPII7Ovuk6gNAn/8AQmsAWmlg2WruuHl6Bvo5uJfwKxRwIBoMcPnz45CcuEdOFjDrgAyqm+JkTwsov3Au8Op8Pj9lgxmJoena0JDNPJJHBna+sLDhgAhhSMiKCBNNdyPBhTsROoKER0TXIpSe9Rk3UEuGh9DgLY1cQhIamjTCMJfwd0Q5y4SR6wDEn0QcI1LpwZb30DS5+mWXd+gYAledXKMqE6SL+7kXapPU24EPAISHEgfyxv5VSPjbNa+aF1XYxPUH4j4TjBLFSKLm+0WqW46kMptCpyYYZ6B8mlo1R7fDTp9vYkJm4Q88wDNbG6hASIulI6ZOaBu4qdBkhqlvbHzqiHaQj8Xntxq1rqOIYktfa2qitCp38BfPAU+nDjYP+AVXZo1CUA9NF/AtTPzgOKeVeKaWQUp4hpdyZ/1k00QdrA5dmM0psFwDa+kYI5G9z7Mal1oQV1dcRpT1ilWs2Oio5YdMhPQKyNEHe13sCr3Tj1txEUuOEH8BThWYOENWtBeRkLknv4Il5Ga+ta7ZSLsc7++Y8xmyodFQwGJ/k3hQKxWnHdMK//CsQC4CUEjORRLfLCRH/sd4Y9mLEPxrJt8ZTADTZsnQkrGbJb7JXctxuAzMLmVjJON3HjgHgt/snRvwAnhBarq8Y8QMcl93zMl7buLYZQ+QY6B6Z8xizocpXyVB2aa6lUCgWlymFX0o5ONVzpxMykQApraqeccLf25O3cqhyYQynMTNWe8TX43GEMUK9N0C7JnHpTrZpXgb1fD4+UfrWRE9YefaQJzQxxw+W8Gd7iNpi1Dusqpnjzp55pXocdjtJzzDJ/qXphxsKhUiTZSS8NF4iCsWpiK7r7Ny5k23btnH11VeftuaFZd9z1ygYtE0S8Q8NWOkdZ5MfJMVdq4fjCfRcN5WBZjrsdppc1ayXGpGCB0+idEE1158koSWp8dUynJ5EGD1VaOlOonqcdfYmPJqHTkcvttp5Gq8FMxCZfKfwQlOzehUAfW1dS3I9heJUxO12c+DAAV566SUcDgd33333jF6Xy51avavKXvjNQttFmywp58wZJvFhK6XjaLIqcgrC35bMYst2EwhtpN1uo1lz05xJMzRFxG8fgn5PlKAryFBqkojfXYWWPMawHsNv+mgSDXS6etH9M/PrmQp3tY47ESCTnX1zl9lS21wHQLhradYUFIpTnd27d9Pa2srnP/95vvnNbxaP33bbbXzrW9/it7/9Lbt37+aKK65g69ZFdaWZNTMxaTutKVoy20tTPceHkvhMK7/vWGtVp+bCSaI5g6EceLPd+CrO4YTNxmU5E182iijs+k2WCn8w7qW/Jkals5JIOoKUsnRXrCcEMs2IHidg+liTW8UB1ysIbX7r56HVFUQO2njjWAdvXj99n4H5Elq7Ck0Kwn2qpFNxCrDnb6Dn0MKOWbcdLvm7GZ2ay+XYs2cPF198MZdccglXXXUVt9xyC6Zp8uMf/5jnnnuOQ4cOsX//fl566SVaWloWdq7zZOUIv0MD5+iGp7ZwrFjRYws60YNOsuEERxPWtwA9103SSGEKQUsyBhlJUM/n5MekeuLxEUKZAP2hNEFXkLSRJplL4rGPyd97QiSFIKNl8ed8OOOCJ32DJLKJ0vNmSeOaWiKM0Ha0a9GFX7fpBHQfg9FJvtEoFCuEZDLJzp2Wk83u3bu58cYbcTgchEIhXnjhBXp7eznzzDMJhawg8+yzzz7lRB9WgvAn8sLvrYAxUfiRgvALEC4btnxLwkIpp57tLqZtmiM9gI2aUAgD0OL9xVrXzqMdeAHPqgBBp3V0OD08Qfgj+d2yvqSL0LALfHA0epQtoS1zvrfN69ZxiIP0dC6NV36V289AUpV0Kk4BZhiZLzSFHP94brrpJh544AF6enq44YYbise9Xu9STm/GlH+OvxDx+4Mlx9vCcVbZdDSPHaEJ7Pmes63xFBomtlyYvoSVz26JdMFIDy2uEMOaRjrWUxxnoMv6vaaxnqDTusaEyh5PVXFh2DdgozFt5cs7oh3zurfaqhApe5zhvtS8xpkpoWCIYSNBLrP4awoKxenEe9/7Xh5//HGef/75ZTFdmy3lH/EXhD9QunnrSDjG2x2WBz1YrQdlxqA1msQvEgScXo5Gj1Jr9+OREnIpmr2rrcg9epyCV2ayZxgTB2vWtjAStb4tTNjE5QkRyS8MV6S91GdqEAjah9vnfX8ZfwwxuDSf36GaamSXpL+jh7pNjUtyTYXidMDhcPCOd7yj2LjoVGfFRPz6OOFvC8ep1jU0j+WMWehp2xpL4ZNDVDor6Yh20OIftYRuqVjLkKaTi43xqx/M0e8cxuVyE8g7dk4W8Q/lI/6A4cMh7dR76+kY7pj3/dkrTewjvnmPMxNWrbW+qfR19JzkTIWiPInFYpMeN02TZ599lhtvvLF47Pzzz+fRRx9dqqnNirIXfiMWAyQiWFM8FklkGIhn8COKwm+v8WAA7bksDiOM3+GnY7iD5qrNFNwrVgeaGNFtiDHlnN6og6jPKgOtdFrlohN27zoDRHTrm0WF4UUPOGgJttAenX/EH1jlXjKzttp19QCEe1RJp0JR4JVXXmHDhg1ccMEFbNy4uEUWC0X5p3picTSbRHiri8eOhK1vAZ6cRPdawq/5HXT7bWQBLXsCr93LSHaElsoNVteuyFF0bw1Ztx/7iCXshmFQnfDTvtoSXb/Dj0BMatQWcXoREnyGB1uNh2Z/M/t692FKE03M/fPXMmszl8asLWiZtQ0swYeMQnG6sHXrVtra2pZ7GrOi7CN+Mzo0YdduW763rp420TzWZ58Qgs7VVubeSLWj52v2W/wtUL3JeqEnhOapwZtNgZT09Z7AJZ04aqyVe13T8Tv9k27iGnK48ONAR8NW46Yl0EIylywuIM+VDUtu1uZXZm0KxWlO+Uf8IxE0m8nzxgi/+s8vAPCHo8cI1NkQPR9C8452vzoasgM5UskjGF5L7JsDzVZT9dYnwV2Fz9mAXb5I199fhjAEfttqgnXXF8cobOIaT8TmIJB39bRXW8IP8NU/fJWQa+pIXRc612y5hnXBdZM+v76xiX+q/TEnOg7zs+/8aMbvS32mhebM5gnHV7cEuOaqd/P64Ou8PvQ6V6y/ouT5Kl+Q1wba+em3fzjjaykUC0HL2+Ze+qwoZQUIfxTNLrmn/zn2jXQQdAYJZwYQQYnsubaY4wc45tMJZLLo6SgpI4VLd1HnrYM3XQp9r4JvFav0d5GT+6hNvowgh822l/WVHyqOEXQGJxd+Xacql8KxtgLnpkq2BAJsrNzIy/0vTzv//mQ/Dt3BZ87+zKTP2202nml5CCnBbszMAiJjS9EtjtH8xq6S4zbDQV+bxLzS5IGXH+Dxjse5tOVSbNroP5M3bd1M+95O2gaPz+haCsVC0YIS/oWi/IU/NoJmk7SnBrio+SLu2H0HZ9z/VqQ2wpAtSrVn9C1ot0uaIibuzCpimRhN/iYr/96y2/oB/Prb6XP8kPrbzoHw63DX2fiSo1UuQVeQ7lj3hHlENMnqXIbam61df3bg51ecvOvknz/859PW+/cn+8lqGT579mf54JYPzug9+acX/onvHvoun7jzEhz6qMnb/Q/+gsRv/Bzv7aZ9uJ2cmaMr1kWTv6l4zvYLd7H9wl2TDatQLCr79u1b7imUDeWf44/HkXZJb3qQZn8zqWwGU1iLu52O3pJUT7s0aI4brMmsYjA1aKV5xpHrT4766Fe2gNBh4I3i80FncFJr5iFpUplfG5gNzYHmacs+Cx8Kk811ujFNaXIseqzkeH2DtQB+uK2jOO5ClJwqFOXCWFvmyy+/nEjE+nbf0dHBtm3bAPjtb3/Lu9/97uWc5kkpf+FPJEnmMyAtgRb2nTiCEFaj3bHCP5zNETYMmuKS1ekQg6nBYh6+gJSSbDhZrPnH5oDKZugfFf5KZyXD6WHkGIGXUhKRGYK5nNXBaxa0BFo4ET9B2pi8129hE9i6wORrAFONCRN3Dm9ssSL7w53txLPxSc9RKFYyY22Zq6qquOuuu5Z7SnOi/IU/mSbqtG6zOdDM812vF5877uhFz6d6juQ9ehrMHB7Tg0TS7G8uHSueRSZzpQ1UqjeWCP9Yo7YCyVySjDQImsYEZ8+T0eyfPDov0D7cjtvmptZTO6sxC68tOb66gayW5mj/aP5+IXYXKxTlyHnnnUdX18z6Uzz99NNceeWVxcdPPvkk733vezEMg+uuu45t27ZiDkDEAAAPhUlEQVSxfft27rzzzsWabgnln+NPZRnyOBAI1las5bWBRwDwmz46nT0Il/UWtCYt4a/RUhQSNeMj/lzYEvOSlonVG6Htt2AaoOlFv55IOlI0aiss9lYapuXsWdk84/mPjc43Vk7cHNIR7aDZ3zyrvQBeu5daT+2EaF7TNFK+KP3JAfBBg69BCb/ilOTvn/t7Xht8bUHH3Fy1ecoiivEYhsFTTz1VslN3Ot7xjndw8803Ew6Hqamp4f777+eGG27gwIEDdHV18dJLLwEUU0eLTVlH/DKTQRqSfpdOva8el83F0WgHGD6ajTUcc/YUPfFb4ylsAlyOKCktAzAh4s+GrTZrJRF/aCPkUjBsRcmTGbUVfg+a5oQmLidjqui8QPtw+4R5zoQWf8ukY2qVWWJyGLfNzdl1Z6tUj0IxhoItc11dHb29vbzrXe+a0euEEHzoQx/ihz/8IZFIhGeeeYZLLrmEdevW0dbWxsc//nEef/xx/H7/yQdbAMo64i+0Xexxa8XFz4F0Jx5W0ywbOGR/jWgmit/h50gyTbPbyaBriF57P7Wu2gle+blwEmwCPTimbLI6H4X3t0JlM5Uuy7ZhODXagrFg2hY0jAltG0+Gx+6xovNJFlnTRpoTsRMTau1nQnOgmcfaHpvQNMZX4yAWi7DWt5Z1gXU81PoQw+nhog+RQnEqMNPIfKEp5PgTiQQXXXQRd911F5/4xCdm9Nrrr7+eyy+/HJfLxdVXX43NZqOyspKDBw/y61//mrvvvpuf/OQn3HfffYt8F2Ue8ZtxK0LvdprWDlwgSQ/VrjW05NYgBTzX/RwArYk06z1Oulx9dDr7aHJOdJ/MhZPYq92lnbMKu3rzlT2TGbUVUj1zifjBSvdMFnkfjR5FIiekpGY65kh2hIFU6QdRbX2QiDtMpRYqfliqqF+hKMXj8fDtb3+br3/96zPup1tfX099fT1f+cpXuP56a9Nnf38/pmnyvve9j6985Svs379/MaddpMyF37JmGHZY4ngsEgY9xtqKZtalLauDF/pewJCS9kSaDR4XHbYujjt6aKR+wni5cKI0zQOWFYQrCP2HgcmN2oo5flPMOuIHK93TPtxeUikEo6WWc0n1TJVCWr0mxIhzEFfaV/xAUXl+hWIiZ555JmeccQY/+tHEHfNPPfUUa9asKf4888wzAFxzzTU0NjayZYu1Ga2rq4vzzz+fnTt3cu2113LHHXcsydzLOtVj5i1UUw5L6J45Zi0Gba1eT9OhIFTC4aHDHE9lyEjJeo+TfcZxEnqKxsyqkrFkziQ3lMK9o6b0IkJYUX++sqdg1DbWr2coNYRAUOEKzkn4WwItxLIxBlIDVLtHzeYKgjx2g9VsxgQrmn9L3VuKx701OgiJfcRHg68Bm2ZTtfwKRZ7xtsyPPPJI8ffCAu35559PMplkMvbu3cuHP/zh4uMdO3YsWZQ/lvKO+Ics47KkQ9ASaOFgrxWVn7V6E864js/0cHzkOG/ErQ5WGz0uBtKWMNfHqkvGyg0kwWRixA8lJZ0Fo7bxEX/AGUB3V826nBMopqnGR94d0Q7qvHVz6ttb563DpbsmjNmbtnoNOAb82DQbayvWqohfoVgAzjrrLF588UWuvfba5Z7KyhB+4bJT7a7mSKQdaersrG4CQ1JFkMHkYLGGf53bQSxjfaLXD1SWjFUs5ax2M4HQBoj1QCoKTDRqi6QjVrWPJzSnHH8h1z5egOda0QOgCY21/rUTovnCY1+/tS+g2d+scvwKxQKwb98+fve73+F0zsxTazEpb+GPhAGo9lcjhKA7cRy7WYMjY912rb2GpJHkjXiSKruOW2TJyRx27FQNeDEzRnGsbL8l/LaaSYS/uMDbCuSN2sa0X4ykIla1j6dqTqmeQnQ+VoCllFaHsDks7BaYbNG4I9qB1/TjHQlhmqa1NjJyjJw5swUshUJx6lPewj9sRderQtZCbjTXhd9Wjxm3moWv8TYA8HKkkw0eVzFKr7VVo6GR6x/N0+X6EmgVDjTXJMsixZJOK90TdAUn1PEHnIE5C78mNJr8TSURfzgZJp6NzzniByua74p1kTEyxWPtw+1U22pwGC6O93bTHGgumrUpFIryoKyFP5WP+BtqN5LIpsnp/dR7mjATlvBvqLIE+2j0KOs9zqLw13mt3rKF9A6MM2cbzziztvHWzJF0xKr2KaR6ZmnUBvnofExapvD7fCP+sXYQhW8RjRVWn+E32o8WP1jUAq9CUT6UtfBHImEyOjSv2sq+ziMIYbC+sgUjYaUtdq4+E4BkupsNHhfhuPVB0Vi1FoRVvgl5c7a+5ORpHhhj1jZa0hlJRZBSWgZtqQhBVz7Hb2ZnbdQGVp6/K9ZVNGsrpGjmI/zFtYN879/Ct4itdVaDls7jYVXSqVCUIcsi/EKIi4UQrwshWoUQf7NY1xmJRaxSztAW9nVbonzGqo3FVM+WhjcDAj3XzQaPk9ZhK0e/vmoDesBJNh/xm/EsMpWbvKKnQPVGa/cuVqonY2ZI5pKWQZuZGY34Yc61/BJZjM7nYs422ZgwGs0X/jyrcSdZLc1Qb5yAM0CVq0ot8CpWPAMDA+zcubNo2dDQ0FB8LIQo2jVfffXVJBJW0DjWxnns8eVmyYVfCKEDdwGXAFuBDwghti7GtRKJOEkHNAWaeW3gCADnNW6xUj0C7G4nui2AnrWEvyBum6s2Y6v1FHP8k5qzjad6IwweAdMoMWor7tp1BsFdZZ07l5LOcVbK7dH2WZuzjWe8WVvhz3XBdaR8UdIDVkqqsIFMoVjJhEIhDhw4wIEDB/joRz/KrbfeWnzs9XqLds0Oh4O7774bKLVxHnt8uVmODVxnA61SyjYAIcSPgfcAryz0hb505QYGZBh+fBnSGAHNx1V/3AeahAtA/P4pMo71OBIHueGht5AyJSDIdX6DtsYsRjRN28M6mBK5y6Qn4kfsn1xoQ/FjNOdSpL7RiMfpAH8FN/zkQutJXcf9+K0kU2lwavCDdwFi0nGmYpUQULearz71Sf7RNOmy2Tg/lST5d1P3650Ja6tCPBnr4dBrP2NI03ALgf8f38zNlTpIjegdf01DoII9HheXf0+1vlMsH1848/To87x7925efPHFGR9fDpZD+BuAsQ1bO4Fzxp8khPgI8BGAtWvXzulCAWwkdT9SaGAL4nE2UYmVx0cXCE1jxP8m0rKbVVjtE+udTtw2G9InkIYJ+XVYzWtH2KcW6+FVtQysaUAzDLYAFxsGqby4bzcMtjicpBxOyGhzWtzVgBtSCdp0HYDmbIbLjSwpz/xqgq/OpfHlP8uaTJNtuRxpj5OMFOQM61oX5gyGM1nMWX5YKRSLRc/tt5N+dWFtmZ1bNlP3t387rzFyuRx79uzh4osvntHx5eKUtWyQUt4D3AOwa9eu2Ssl8IsP/mCGZ352LsNP5K3WH5XA1xZmxBJuXYQxL83/TEcD8M5FuLZCMRtO5Z67BbtmsCL7gk//VMeXm+UQ/i5grPXlmvwxhUKhmBHzjcwXmkIuf6bHl5vlqOp5HtgohGgRQjiAvwAeXoZ5KBQKxYpkySN+KWVOCPEx4NeADtwnpXx5qeehUCgUK5VlyfFLKR8DHluOaysUCsV8+cIXvlDyeLxd88mOLzdlvXNXoVAoFBNRwq9QKBQrDCX8CoXitME0zeWewinJbN8XJfwKheK0wOPx0N3drcR/HKZp0tPTQzabnfFrxPgG3qciQogwcHSOL68G+hdwOqcD6p5XBivqnhsaGuz33HPPttraWk0ItYu8gJSScDicu+OOOwYSiYR+8ODB47lcrvDp2CSlrBn/mtNC+OeDEOKPUspdyz2PpUTd88pgJd7z2rVrW3fu3PkfQB9Q9qF/e3v7f21pafn+DE4VQBVWgPyVhx9+eFphV6kehUJx2tDZ2RnB2vCZwnLSKvcfZnheDmtz7DdPJvqgIv6yRN3zykDdc/mzWPe7EiL+e5Z7AsuAuueVgbrn8mdR7rfsI36FQqFQlLISIn6FQqFQjEEJv0KhUKwwylr4l6qp+6mCEOI+IUSfEOKl5Z7LUiCEaBRC/EYI8YoQ4mUhxCeXe06LjRDCJYR4TghxMH/PX1zuOS0VQghdCPGCEOLR5Z7LUiCE6BBCHBJCHBBC/HFBxy7XHH++qfth4F1Y7R2fBz4gpVzw3r6nCkKIPwViwPellNuWez6LjRBiNbBaSrlfCFEB7AOuLPO/YwF4pZQxIYQd2At8Ukr57DJPbdERQvw1sAvwSynfvdzzWWyEEB3ALinlgm/SK+eIv9jUXUqZAQpN3csWKeXvgMHlnsdSIaXsllLuz/8+AryK1SmybJEWBa9fe/6nPKO3MQgh1gCXAd9b7rmUA+Us/JM1dS9rUVjJCCGagTOBPyzvTBaffMrjANbu1SellGV/z8A3gf/BCtitOwYJPCGE2CeE+MhCDlzOwq9YIQghfMDPgFuklNHlns9iI6U0pJQ7sfpVny2EKOu0nhDi3UCflPLU7ba+OLxdSvknwCXAX+VTuQtCOQu/auq+AsjnuX8G/IuU8ufLPZ+lREoZAX4DXLzcc1lk3gZckc95/xh4pxDih8s7pcVHStmV/7MPeAgrfb0glLPwq6buZU5+ofNe4FUp5TeWez5LgRCiRggRzP/uxipeeG15Z7W4SCk/K6VcI6Vsxvp//LSU8tplntaiIoTw5gsWEEJ4gT8DFqxar2yFX0qZAwpN3V8FflLuTd2FED8CngHeJIToFELcuNxzWmTeBnwIKwI8kP+5dLkntcisBn4jhHgRK7h5Ukq5IsobVxirgL1CiIPAc8CvpJSPL9TgZVvOqVAoFIrJKduIX6FQKBSTo4RfoVAoVhhK+BUKhWKFoYRfoVAoVhhK+BUKhWKFYVvuCSgUpxJCiBDwVP5hHWAA4fzjhJTyrcsyMYViAVHlnArFFAghvgDEpJT/sNxzUSgWEpXqUShmiBAilv/zfCHEvwshfimEaBNC/J0Q4pq8T/4hIcT6/Hk1QoifCSGez/+8bXnvQKGwUMKvUMyNHcBHgS1Yu4c3SSnPxrIN/nj+nG8Bd0op3wK8D2UprDhFUDl+hWJuPC+l7AYQQhwBnsgfPwS8I//7hcBWy1IIAL8QwjfGT1+hWBaU8CsUcyM95ndzzGOT0f9XGnCulDK1lBNTKE6GSvUoFIvHE4ymfRBC7FzGuSgURZTwKxSLxyeAXUKIF4UQr2CtCSgUy44q51QoFIoVhor4FQqFYoWhhF+hUChWGEr4FQqFYoWhhF+hUChWGEr4FQqFYoWhhF+hUChWGEr4FQqFYoXx/wEw7tkyyyhKiwAAAABJRU5ErkJggg==\n", | |
"text/plain": [ | |
"<Figure size 432x288 with 1 Axes>" | |
] | |
}, | |
"metadata": { | |
"needs_background": "light" | |
}, | |
"output_type": "display_data" | |
} | |
], | |
"source": [ | |
"run_simulation(5.0, model=m1, y0={'Pyr': 10, 'TPP': 10, 'OlLys': 10, \"CoA\": 10, \"FAD\": 10, \"NAD\": 10}, solver='gillespie')" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": null, | |
"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": "3.7.1" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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