From a94ab3ad36d5513c301ee56e9b25873a740a3818 Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Mon, 6 May 2024 11:58:33 -0600 Subject: [PATCH 01/30] functionality for new json schema and for complete decomposition. WIP --- ...HighTemperatureSuperConductorExample.ipynb | 37 +- notebooks/MagneticLattices.ipynb | 413 ++++++++++++------ src/qca/utils/algo_utils.py | 32 +- src/qca/utils/utils.py | 164 +++---- 4 files changed, 382 insertions(+), 264 deletions(-) diff --git a/notebooks/HighTemperatureSuperConductorExample.ipynb b/notebooks/HighTemperatureSuperConductorExample.ipynb index 322e987..f2f17d9 100644 --- a/notebooks/HighTemperatureSuperConductorExample.ipynb +++ b/notebooks/HighTemperatureSuperConductorExample.ipynb @@ -61,7 +61,7 @@ "import numpy as np\n", "from pyLIQTR.PhaseEstimation.pe import PhaseEstimation\n", "from networkx import get_node_attributes, draw, draw_networkx_edge_labels\n", - "from qca.utils.utils import circuit_estimate\n", + "from qca.utils.utils import circuit_estimate, EstimateMetaData\n", "from qca.utils.hamiltonian_utils import generate_two_orbital_nx, nx_to_two_orbital_hamiltonian" ] }, @@ -147,6 +147,19 @@ "init_state_one_band = [0] * n * n * 2 #TODO: use Fock state from Hartree-Fock as initial state\n", "\n", "print('starting')\n", + "total_value = 300000\n", + "repetitions = 40 * 10\n", + "value_per_circuit = total_value/repetitions\n", + "one_band_metadata = EstimateMetaData(\n", + " id=2000,\n", + " name='FermiHubbard_One_Band',\n", + " category='scientific',\n", + " size=f'{n}x{n}',\n", + " task='Ground State Energy Estimation',\n", + " implementation=f'GSEE, evolution_time={t_one_band}, bits_precision={bits_precision_one_band}, trotter_order={trotter_order_one_band}',\n", + " value_per_circuit=value_per_circuit,\n", + " repetitions_per_application=repetitions\n", + ")\n", "\n", "t0 = time.perf_counter()\n", "gse_inst_one_band = PhaseEstimation(\n", @@ -198,13 +211,15 @@ "source": [ "print('Estimating one_band')\n", "t0 = time.perf_counter()\n", - "estimate = circuit_estimate(circuit=gse_circuit_one_band,\n", - " outdir='GSE/FermiHubbard/',\n", - " circuit_name='one_band',\n", - " algo_name='GSE_Step',\n", - " write_circuits=True,\n", - " bits_precision=bits_precision_one_band,\n", - " numsteps=trotter_steps_one_band)\n", + "estimate = circuit_estimate(\n", + " circuit=gse_circuit_one_band,\n", + " metadata = one_band_metadata,\n", + " outdir='GSE/FermiHubbard/',\n", + " circuit_name='one_band',\n", + " write_circuits=True,\n", + " bits_precision=bits_precision_one_band,\n", + " numsteps=trotter_steps_one_band\n", + ")\n", "t1 = time.perf_counter()\n", "print(f'Time to estimate one_band: {t1-t0}')" ] @@ -602,9 +617,9 @@ ], "metadata": { "kernelspec": { - "display_name": "venv_3.10.14", + "display_name": "other_qca", "language": "python", - "name": "venv_3.10.14" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -616,7 +631,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/notebooks/MagneticLattices.ipynb b/notebooks/MagneticLattices.ipynb index df08989..524a69e 100644 --- a/notebooks/MagneticLattices.ipynb +++ b/notebooks/MagneticLattices.ipynb @@ -52,7 +52,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/jonhas/anaconda3/lib/python3.11/site-packages/attr/_make.py:918: RuntimeWarning: Running interpreter doesn't sufficiently support code object introspection. Some features like bare super() or accessing __class__ will not work with slotted classes.\n", + "/Users/jonhas/anaconda3/envs/other_qca/lib/python3.11/site-packages/attr/_make.py:918: RuntimeWarning: Running interpreter doesn't sufficiently support code object introspection. Some features like bare super() or accessing __class__ will not work with slotted classes.\n", " set_closure_cell(cell, cls)\n" ] } @@ -64,27 +64,21 @@ "import networkx as nx\n", "from networkx import grid_graph\n", "from networkx.classes.graph import Graph\n", - "from qca.utils.utils import plot_histogram\n", - "from qca.utils.algo_utils import estimate_qsp, estimate_trotter\n", "from networkx.generators.lattice import hexagonal_lattice_graph\n", + "\n", + "from qca.utils.utils import plot_histogram, EstimateMetaData\n", + "from qca.utils.algo_utils import estimate_qsp, estimate_trotter\n", "from qca.utils.hamiltonian_utils import (nx_triangle_lattice, flatten_nx_graph,\n", " generate_square_hamiltonian, pyliqtr_hamiltonian_to_openfermion_qubit_operator,\n", " assign_directional_triangular_labels, generate_triangle_hamiltonian,\n", - " assign_hexagon_labels)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ + " assign_hexagon_labels)\n", + "\n", "from pyLIQTR.utils.Hamiltonian import Hamiltonian as pyH" ] }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -96,12 +90,12 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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", + "image/png": 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BU1NT9OnTRz3v0tbWVnRMIiKil8ZCqSW3bt2Cvb09Vq5ciVmzZomOQzrsxo0biIqKQkREBJKSklBeXo6uXbuqy6WTk5NOTAwoKlUi50ERypQqmJnK0dyyJmqam4qORUREOoCFUotGjx6Nw4cP4/LlyzAxMREdh/TA48ePERMTg4iICERHR6OwsBAtWrRQb+p58803YWpadSUu+04hwtLykHTxLvIKivHnDwsZALsGFvBoY4WRLnZo3ZhzOImIjBULpRalp6ejW7duUCgUCAoKEh2H9ExpaSmSk5MRGRmJyMhI3Lx5E5aWlhg0aBACAwPh5eWltROZ8guKsSg8A4cu34eJXIYK1fM/Jv748d4ODRES5ATbBjwliojI2LBQapmbmxtMTEyQkpIiOgrpMZVKhfT0dPWmnvPnz6N69erw8vJCQEAABg8ejEaNGmnkXrtP5OGTqEwoVdILi+R/M5HLYCqXYZl/BwzrbqeRLEREpB9YKLXs119/xdtvv41Tp06hS5cuouOQgcjOzlY/uUxNTYVMJsObb76pPmfcwcHhta67ISkba+IvVTrfHC9HTPHgyCwiImPBQqllSqUSrVq1goeHB7Zv3y46Dhmgu3fvYs+ePYiMjERCQgJKSkrQoUMH9aaebt26vdSmnt0n8rBAkaGxXKuCnTCUTyqJiIwCC2UVWL16NZYsWYK8vDw0btxYdBwyYEVFRYiPj0dERAT27t2LgoIC2NjYqJ9c9u3bF2ZmZv/z6/ILiuEZmoJSpUpjWcxN5Uic2YdrKomIjAALZRV4+PAhmjVrhnnz5uGTTz4RHYeMhFKpxOHDh9XnjOfk5KBOnTrw8/NDYGAgfH19UadOHQDA6O/ScOTqg1daM/l3TOQyuLa0xA8TXTR2TSIi0k0slFXko48+gkKhQG5uLo/boyonSRLOnj2rLpenT59GtWrV0K9fP7j5vYV/3bLW2r0TZ7rDwYojhYiIDBkLZRXJyspCu3bt8P3332PMmDGi45CRy83NRVRUFCIjI3Fa3hq1uvhCJtf8rFQTuQyjXeyx1L+Dxq9NRES6g4WyCvn6+uLOnTtIT0/XiZNPiADAbVUirj8q1dr17S0tkDLHQ2vXJyIi8eSiAxiT6dOn4/Tp0zh8+LDoKEQAgKelStzQYpkEgLwHxSgqVWr1HkREJBYLZRXy8vJC27Zt8eWXX4qOQgQAyH1QBG2/opAA5Dwo0vJdiIhIJBbKKiSXyzFt2jSEh4cjJydHdBwilGlwTJAu3IeIiMRgoaxiY8aMQZ06dfD111+LjkIEM9Oq+QioqvsQEZEY/JSvYjVr1sR7772Hb7/9Fk+fPhUdh4xcc8ua0P72MAmNamj9JkREJBALpQBTpkzB06dPsWPHDtFRyMjVNDeFnZZPsikvuAXbJlYYMGAAvvjiC5w/fx4cLkFEZFg4NkiQt99+G2fPnsWFCxcgl7PXkxhFRUUY+UUEThfV1tocykFt6qDlw3TExMQgOTkZpaWlsLOzg4+PD3x8fNC/f3/1iT1ERKSfWCgFSU1NhZubG6Kjo+Hr6ys6DhmZhw8f4uuvv8a6devw1KQ2mkzYoLV7/fmknOLiYqSkpCA2NhaxsbG4dOkSTE1N8eabb6oL5htvvME5rUREeoaFUhBJktCjRw80aNAAcXFxouOQkbh9+zZCQ0OxadMmlJeXY+LEiZgzZw4+3n9HyFneV69eVZfL/fv3o7i4GE2aNIGPjw98fX3h6emJBg0aaCwTERFpBwulQDt37sTo0aORmZmJ9u3bi45DBiwnJwerV6/Gd999BzMzM0yePBkzZsxA48aNAQD5BcXwDE1BqQbH+5ibypE4sw9sX3KNZmlpKQ4fPoyYmBjExsYiMzMTcrkcLi4u8PX1hY+PD5ydnblEhIhIB7FQClRWVgZ7e3sEBATgm2++ER2HDNCFCxewcuVKhIWFoX79+pgxYwYmT56MevXq/c/P3X0iDwsUGRq796pgJwztbvfavz4vLw9xcXGIjY1FQkICCgsL0bBhQ3h7e8PHxwfe3t5o1KiRxvISEdHrY6EU7J///CdWrFiB69ev89UeaczJkyexYsUKhIeHo2nTppg7dy7effdd1KxZ84W/bkNSNtbEX6r0/ed6tcFkD4dKX+cP5eXlOHr0KGJjYxETE4Pff/8dMpkMzs7O6qeXPXr0gKmpqcbuSUREL4+FUrC7d+/Czs4Oy5Ytw/z580XHIT0mSRIOHjyIkJAQxMfHw8HBAQsWLMCoUaNgbm7+0tfZfSIPn0RlQqmSXmlNpYlcBlO5DJ/6d6jUk8mXcevWLfXTy/j4eDx8+BD169fHgAED1Jt7rK2ttZqBiIj+PxZKHTBhwgQkJCTg6tWrqFatmug4pGckSUJ0dDRCQkJw5MgRdOrUCYsWLcJbb70FE5PXGwWUX1CMReEZOHT5PkzkshcWS5mkgiSTo1eL+vj8rc4vvWZSUyoqKnD8+HH108uTJ09CkiS88cYb6s09rq6u/H+LiEiLWCh1wJkzZ9C5c2f89NNPeOedd0THIT1RUVGBX375BStWrMDZs2fh6uqKRYsWwc/PT2Njd7LvFCIsLQ9Jl+4i70Ex/vxhIQNgZ2mBbk1r4OsZw/D5klmYNm2aRu5bGffu3UNCQgJiYmIQFxeHe/fuoXbt2vD09FQ/vbSz0+4TVCIiY8NCqSM8PDxQVlaG1NRU0VFIx5WWluKHH37AqlWrcPnyZXh7e2PRokXo3bu3Vuc3FpUqkfOgCGVKFcxM5WhuWRM1zf+9ZnHkyJE4cuQIsrOzdWodo0qlwunTp9U7x48ePQqVSoX27dury6W7u/srLQkgIqL/xUKpIyIjIxEYGIi0tDT06NFDdBzSQUVFRfj222+xZs0a3Lx5E8HBwVi4cCGcnZ1FR8OpU6fg7OyMn3/+GW+//bboOM/18OFDJCYmqgvmrVu3YGFhAQ8PD/XmnlatWomOSUSkd1godURFRQVat26NXr16ISwsTHQc0iF/PtXm0aNHGDVqFObPn4927dqJjvYf+vfvj8LCQqSlpenFSTeSJCEjI0NdLg8fPgylUgkHBwd1uezbty8sLKp2TSgRkT5iodQh69atw9y5c5Gbm4umTZuKjkOC3blzB6Ghodi4cSPKysrw7rvvYs6cOWjevLnoaH8pJiYGfn5+OHjwIHr37i06zit78uQJDhw4oN7ck5eXB3Nzc/Tp00e9uadNmzZ6UZaJiKoaC6UOefz4MZo1a4bp06fjs88+Ex2HBPnjVJutW7eiWrVq+OijjzBjxgw0adJEdLQXkiQJHTt2hIODAyIjI0XHqRRJkpCVlaUulykpKeqDCP54etmvXz/Url1bdFQiIp3AQqljpk+fjh9//BF5eXmoUaOG6DhUhf58qk29evUwc+bM555qo6u2bduGCRMmICsrC23atBEdR2OKioqQnJysLphXrlxBtWrV4Obmpn562bFjRz69JCKjxUKpYy5fvgxHR0d8++23mDhxoug4VAVe91QbXVRaWormzZvD398fmzdvFh1Hay5fvqwul0lJSXj27BmaNm2qLpeenp569Y0AEVFlsVDqIH9/f+Tk5ODMmTN84mGgNHWqjS4KCQnBp59+iry8PFhZWYmOo3UlJSU4dOiQenPPhQsXYGJigp49e6pfj3fp0gVyuVx0VCIirWGh1EH79++Hp6cn9u/fj379+omOQxqkjVNtdE1BQQFsbW0xZ84cLFu2THScKpeTk6M+FjIxMRFPnz6FlZUVvL294ePjAy8vLzRs2FB0TCIijWKh1EGSJKFTp05o2bKl3m9uoH+rilNtdMm0adPUa4GNeexOWVkZjhw5on49fvbsWchkMnTv3l399LJ79+4G880EERkvFkod9a9//Qvvv/8+srOzOWhZj4k61Ua0q1evonXr1tiwYQM+/PBD0XF0xs2bNxEbG4vY2FgkJCTg0aNHaNCgAby8vODj4wNvb2+d381PRPRXWCh11LNnz2Bra4tRo0Zh3bp1ouPQK9LlU22qyjvvvIPTp08jKyuLT+D+glKpRFpamvrpZXp6OgCgS5cu6s09PXv2RLVq1QQnJSL6eyyUOmzx4sVYv349rl+/jjp16oiOQy9BX061qQppaWno2bMnFAoFgoKCRMfReXfv3kV8fDxiYmIQFxeHBw8eoE6dOhgwYID63PFmzZqJjklE9JdYKHXYjRs30Lx5c6xZswbTp08XHYdeQN9Otakq7u7uqKioQGpqqugoeqWiogLp6enq1+NpaWlQqVTo2LGjuly6ubnp/UQAIjIcLJQ6bsSIEUhLS8OlS5f42lAH6eupNlUlKioKAQEBOHLkCHr16iU6jt568OABEhMT1aOJ7ty5g5o1a6Jfv37qzT0tWrQQHZOIjBgLpY47fvw4XFxcEBkZCX9/f9Fx6P8Ywqk2VUGlUqFdu3ZwcnLCr7/+KjqOQVCpVDh79qy6XKampqKiogKOjo7qctmnTx+etEVEVYqFUg/06tULNWrUwIEDB0RHMXqGdKpNVdmyZQsmTZrEiQVa8vjxY+zfv1+9uef69euoXr06+vbtq97c07p1a4OeKkBE4rFQ6oGffvoJw4YNw5kzZ9CpUyfRcYyOIZ9qUxWePXsGe3t7vPPOO9iwYYPoOAZNkiScP39eXS4PHTqEsrIytGjRQv300sPDA7Vq1RIdlYgMDAulHigvL0eLFi3g7e2N7777TnQco2EMp9pUlU8//RQrV65Efn4+LC0tRccxGk+fPkVSUpK6YF67dg1mZmbo3bu3+ull+/bt+fSSiCqNhVJPrFy5EkuXLkV+fj4aNWokOo5BM7ZTbarCvXv3YGdnh8WLF2PJkiWi4xglSZKQnZ2tLpfJyckoKSlBs2bN1OWyf//+qFu3ruioRKSHWCj1xIMHD2Bra4tFixbxC7KWGOupNlXlww8/hEKhQG5uLqpXry46jtF79uwZDh48qN7cc/HiRZiamsLV1VU9mqhz5878u09EL4WFUo988MEH2LNnD3JycmBmZiY6jsHgqTZV49KlS2jbti22bNmCd999V3Qc+i/Xrl1Tz73cv38/ioqK0KRJE3h7e8PHxwdeXl5o0KCB6JhEpKNYKPXI+fPn0aFDB+zcuRMjR44UHUfv8VSbqhcUFISsrCxkZmZCLpeLjkPPUVpaitTUVPXTy3PnzkEul6NHjx7qzT3dunXjnyERqbFQ6hkvLy88fPgQx48f56uo18RTbcRJTU2Fm5sb9uzZg0GDBomOQy/p+vXr6qeXCQkJePLkCRo2bAgvLy/4+PjA29sbVlZWomMSkUAslHomOjoaAwcORGpqKlxdXUXH0Su5ublYvXo1vvvuO55qI4gkSXB1dYW5uTmSk5NFx6HXUF5ejmPHjqk395w+fRoA4OzsrN7c4+LiAlNTU8FJiagqsVDqmT9OHuncuTN++ukn0XH0woULF7Bq1SqEhYWhbt26mDFjBiZPnoz69euLjmaUfvvtN7z11ls4fvw4unfvLjoOVdLt27cRHx+PmJgYxMfHo6CgAPXq1cOAAQPUTy9tbGxExyQiLWOh1ENff/01pk+fjmvXrsHW1lZ0HJ3FU2100x/HBHbv3h27d+8WHYc0qKKiAidOnFA/vTxx4gQkSUKnTp3UTy9dXV25qZDIALFQ6qGnT5+iWbNmmDRpElauXCk6jk7hqTb64Y9vii5fvsy1qwbs/v37SEhIQExMDOLi4nD37l3UqlUL/fv3V2/usbe3Fx2TiDSAhVJPzZkzB1u3bkV+fj6fuIGn2uiboqIi2NnZYcyYMQgNDRUdh6qASqXC77//rt45fvToUVRUVKBt27bqcunu7s4ZpUR6ioVST+Xk5KBVq1bYuHEjPvjgA9FxhKmoqMCvv/6KkJAQnD17Fr169cLixYt5qo0e+PjjjxEaGor8/HyuZzVCjx49QmJiovr1+M2bN1GjRg14eHioC6aDg4PomET0klgo9diQIUNw4cIFZGZmGl15+u9Tbby8vLBo0SK4u7sb3X8LfXXnzh3Y2dnh008/xfz580XHIYEkScK5c+fU5fLw4cMoLy9Hq1at1OWyb9++fBtDpMNYKPXYwYMH0adPH8TFxcHLy0t0nCrx51Ntbty4oT7Vplu3bqKj0Wt49913ER0dzdOf6D8UFhbiwIED6oKZm5sLc3NzuLu7qzf3tG3blt88EukQFko9JkkSnJ2d0aRJE0RHR4uOo1U81cYw/XH60/bt2zF27FjRcUgHSZKEixcvqstlSkoKSktLYWdnpy6X/fr1Q506dURHJTJqLJR67vvvv8e4ceNw4cIFtG3bVnQcjeOpNoZv0KBByM3NxdmzZ/nEif5WcXExkpOT1Sf3ZGdnw9TUFG5ubvDx8YGPjw86derEv0tEVYyFUs/98Z36W2+9ha+//lp0HI3hqTbGIzk5GR4eHoiNjYW3t7foOKRnrly5oi6XBw4cQHFxMaytrdVPLz09Pbnpi6gKsFAagKVLl2L16tW4fv263n9w8lQb4yNJErp374769esjISFBdBzSYyUlJTh8+LB6NNH58+chl8vRs2dP9eaerl27Qi6Xi476P4pKlch5UIQypQpmpnI0t6yJmuY8vpL0BwulAbh9+zbs7e2xfPlyzJkzR3Sc15Keno6QkBD1qTZz5szBe++9x12dRmL37t0YPnw4Tp8+jc6dO4uOQwYiLy9P/fQyMTERhYWFaNSoEby9veHj4wMvLy80atRIWL7sO4UIS8tD0sW7yCsoxp+/GMsA2DWwgEcbK4x0sUPrxrVFxSR6KSyUBmLs2LFITk7GlStXYGqqH9/V/tWpNvPnz8fo0aN5qo2RUSqVaNWqFdzd3fHDDz+IjkMGqKysDEePHlVv7jlz5gxkMhm6deumfj3eo0ePKjkIIb+gGIvCM3Do8n2YyGWoUD3/y/AfP97boSFCgpxg28BC6/mIXgcLpYE4deoUnJ2d8euvv2LIkCGi47wQT7Whv7Ju3TrMnTsXV69e5Rn1pHU3b95EfHw8YmJiEB8fj0ePHqF+/frw8vKCj48PvL29YW1trfH77j6Rh0+iMqFUSS8skv/NRC6DqVyGZf4dMKy7ncZzEVUWC6UBcXd3hyRJOHTokOgof4mn2tCLFBYWwtbWFu+99x5Wr14tOg4ZEaVSiePHj6ufXp48eRIA0LlzZ/XTy169eqFatWqVus+GpGysib9U6bxzvBwxxaN1pa9DpEkslAZEoVBgyJAhOHnyJJydnUXHUeOpNvSyFixYgE2bNiE/P59zBUmYu3fvIiEhATExMYiLi8P9+/dRu3ZteHp6qjf3vOpT9N0n8rBAkaGxjKuCnTCUTypJh7BQGpCKigr1OrQdO3aIjsNTbeiV3bhxAy1atMDKlSsxa9Ys0XGIoFKpcOrUKfXO8WPHjkGlUqFDhw7quZe9e/d+4brv/IJieIamoFSp0lguc1M5Emf24ZpK0hkslAbmiy++wMKFC5GXlydsZiNPtaHKGDduHA4cOIArV65U+hUjkaYVFBQgMTFRvXv81q1bsLCwQL9+/dSvx1u2bPkfv2b0d2k4cvXBK62Z/DsmchlcW1rih4kuGrsmUWWwUBqYR48eoVmzZpg9ezaWLVsGoOrmm/FUG9KEjIwMdOrUCWFhYRgxYoToOETPJUkSzp49q356mZqaCqVSidatW6tfjTfr0B2DN6VpLUPiTHc4WHGkEInHQmmApkyZgl8TUvHuyu04dLlA6/PNeKoNaZq3tzfu3buH9PR0rrMlvfHkyRPs379fvbknPz8fjbw/gkVnH0Cm+WHqJnIZRrvYY6l/B41fm+hVsVAamPyCYkwPO4ZTN59BBgkSnv/FuLLzzXiqDWlLQkICvLy8sH//fvTr1090HKJXJkkSLly4gOFhF/FYZaa1+9hbWiBljofWrk/0slgoDUhVzTfjqTakbZIkoXPnzrCxsUF0dLToOESv5WmpEk5L46DNL7IyAOeWevOYRhJO9w40pdeyISkbCxQZKFWqXnnhd4VKQqlShQWKDGxIyv7LnyNJElJSUuDt7Y1u3brh7Nmz2LJlC65cuYIZM2awTJJGyWQyzJkzBzExMTh37pzoOESvJfdBkVbLJABIAHIeFGn5LkR/j4XSAOw+kaeRYbkAsCb+En46kaf+Z0mSsG/fPri5uaFv3764ffs2du/ejaysLLz77rs8IpG0ZujQobCxscHatWtFRyF6LWUaHBOkC/chehEWSj2XX1CMT6IyNXrNf0RlIudeIX766Sd06dIFgwYNgiRJ2Lt3L37//XcMHTqURySS1pmZmWH69OnYuXMnbt26JToO0SszM62aL7FVdR+iF+HfQj23KDwDSg3ONgOAcmUFPOZtwbBhw9C4cWMkJycjNTUVAwcO5I5bqlLvv/8+qlevjvXr14uOQvTKmlvWfMG2SM2Q/d99iERjodRj2XcKcejyfY0OywUAFWSQmrRF+P6jiIuLQ58+fVgkSYi6devivffew6ZNm/D06VPRcYheSU1zU9hp+SQbO0sLbsghncBCqcfC0vJgItdO0TORy/D7Uw7LJfGmT5+OwsJCbNu2TXQUoleiUqlga/oEUFVo5fomchk8HK20cm2iV8VCqceSLt7V+NPJP1SoJCRduquVaxO9Cjs7OwwdOhShoaFQKpWi4xD9rfLycuzYsQMdO3bEz8unAnLtrDmvUEkY1fPvR70RVQUWSj31tFSJvIJird4j70Exikr5BZzEmz17Nq5du4bw8HDRUYieq6SkBJs2bYKjoyPGjh0LBwcHpOz5Cb0dGmr8bZKJXIbeDg157CLpDBZKPcX5ZmRMunbtin79+mH16tXgWQykawoLC7F69Wq0aNECU6ZMQc+ePXHmzBlERUWhV69eCAlygqmGC6WpXIaQICeNXpOoMlgo9RTnm5GxmTNnDk6cOIHDhw+LjkIEAHjw4AGWLl0Ke3t7LF68GIMGDUJWVhZ27dqFTp06qX+ebQMLLNPweduf+nd45eNyibSJhVJPcb4ZGRsfHx+0b98ea9asER2FjNzNmzcxZ84c2Nvb4/PPP8eYMWNw5coVfPvtt2jduvVf/pph3e0wx8tRI/ef69UGQ1/imFyiqsS2oKc434yMjUwmw+zZsxEVFYWLFy+KjkNG6OrVq5g0aRJatGiBf/3rX5gxYwZyc3Oxbt062Nra/u2vn+LRGiuDnWBuKn/lNZUmchnMTeVYFeyEyR4Or/tbINIaFko9VRXzzaornyI5MQ4lJSVavQ/Ryxo5ciQaN27M4xipSmVmZmL06NFwdHSEQqHAsmXLkJubi88++wyNGjV6pWsN626HxJl94NrSEgD+tlhK/zdyyLWlJRJn9uGTSdJZLJR6zKONldbmUMokFcpyTmPQoEFo1KgRhg4dit27d+PJkydauR/RyzA3N8e0adPw/fff4+5djrUi7Tpx4gSCg4PRsWNHpKSkIDQ0FDk5OViwYAHq1q372te1bWCBHya6IGGGO0a72MPe0uJ/3jjJANjVr46SjHgEVsvADxNduGaSdJpM4pZJvZV9pxAD1h3U2vUTZrij/EE+FAoFwsPDcerUKZiZmcHT0xNBQUHw9/eHlRWH6lLVKigogK2tLebMmYNly5aJjkMGRpIkpKSkICQkBAkJCWjdujUWLFiAUaNGwczMTGv3LSpVIudBEcqUKpiZytHcsiZqmpvi3XffRWJiIq5evQq5nM+ASHexUOq50d+l4cjVBxodcG4il8G1pSV+mOjyH/8+JycHERERCA8PV++0dXNzQ1BQEIKCgmBvb6+xDEQvMm3aNPz444/Iy8uDhQWf2lDlSZKEffv2ISQkBEePHsUbb7yBRYsWYciQITAx0c5g8pdx5MgRvPnmm0hMTET//v2F5SD6OyyUei6/oBieoSko1eB4H3NTORJn9nnh65W7d+8iKioK4eHhSExMRFlZGbp27aoul+3bt+f536Q1V69eRevWrbFhwwZ8+OGHouOQHquoqMCvv/6KkJAQnD17Fq6urli8eDF8fX114jNMkiS0a9cOzs7OCAsLEx2H6LlYKA3A7hN5WKDI0Nj1VgU7vdLC7ydPniAmJgYKhQLR0dF4+vQpHB0d1eWye/fufFVDGvfOO+/g9OnTyMrKEvoEifRTWVkZfvjhB6xatQrZ2dnw8vLCokWL4O7urhNF8s9WrVqFpUuX4tatW6hXr57oOER/iYXSQGxIysaa+EuVvs5crzaVGklRUlKC/fv3Izw8HJGRkbh//z5sbGwQGBiIoKAguLu7o1q1apXOSZSWloaePXsiPDwcgYGBouOQniguLsa//vUvrF69GtevX0dwcDAWLlyIbt26iY72XDdv3oStrS2+/vprTJo0SXQcor/EQmlAdp/IwydRmVCqpFdaU2kil8FULsOn/h00OpJCqVQiNTUV4eHhUCgUyM/PR/369eHv74+goCB4eXmhRo0aGrsfGR93d3eoVCqenkN/69GjR9i4cSNCQ0Px8OFDjBgxAgsWLED79u1FR3spgwYNwr1795CWliY6CtFfYqE0MPkFxVgUnoFDl+/DRC57YbGUVBWQyU3Q26EhQoKctDqSQpIknDp1Sl0uL1y4AAsLC/j4+CA4OBgDBw7kqxx6ZVFRUQgICMCRI0fQq1cv0XFIB929exdffvklNmzYgNLSUkyYMAFz585FixYtREd7Jb/99hveeustZGRkoGPHjqLjEP0PFkoDlX2nEGFpeUi6dBd5D4rx5z9kGQA7SwvcOpkIR/kd7P3xX1We7+LFi+pyeeLECZiamqJfv34IDg5GQEAAmjRpUuWZSP+oVCq0a9cOTk5O+PXXX0XHIR2Sn5+PNWvW4Ntvv4VcLseHH36IWbNmwdraWnS011JWVgYbGxuMGTMGX3zxheg4RP+DhdIIPG++2dq1a7Fw4ULcvHkTlpaWwvJdv35dPY4oJSUFKpUKvXr1Um/qadWqlbBspPs2b96MDz/8ENnZ2fy7QsjOzsaqVauwY8cO1KpVC9OnT8fUqVPRoEED0dEqbcaMGfjxxx9x48YNrkUnncNCacTu3r0LGxsbhIaGYsqUKaLjAAAePHiAPXv2IDw8HPHx8SgpKUGnTp0QFBSE4OBgODk56dwOTBLr2bNnsLOzw9ChQ7FhwwbRcUiQM2fOYMWKFfjll19gZWWF2bNn44MPPkDt2rVFR9OYM2fOoHPnztyIRjqJhdLIBQYGIj8/H+np6aKj/I+nT58iNjYW4eHh2Lt3L548eYKWLVuqn1z26tWL44gIALBs2TKsWrUK+fn5Qp+2U9U7evQoli9fjn379qF58+aYP38+xo0bh+rVq4uOphXdunWDjY0NIiMjRUch+g/8amzkxo8fj1OnTuHs2bOio/yPWrVq4a233kJYWBju3buHmJgYeHp6YufOnXBzc4ONjQ0mTZqEuLg4lJWViY5LAn300UeQJAmbNm0SHYWqgCRJSEhIgIeHB1xdXXHt2jX88MMPyM7OxqRJkwy2TAL//szet28fbt++LToK0X9goTRyfn5+aNSoEbZv3y46yguZmZnBx8cHmzdvxo0bN3Do0CGMGDEC8fHx8PHxgZWVFUaNGoXffvsNRUVFouNSFWvUqBHGjRuH9evXo6SkRHQc0hKVSoXw8HD06NEDXl5eKCwshEKhQEZGBkaNGgVTU1PREbVu+PDhMDU1xc6dO0VHIfoPfOVNmDVrFnbu3KmXC70lScLZs2ehUCgQHh6OjIwMVK9eHd7e3ggKCsLgwYMNYjE+/b1Lly6hbdu22LJlC959913RcUiDlEoldu/ejRUrVuD8+fPo06cPFi9eDE9PT6NcUz1s2DCcPXsWmZmZRvn7J93EQkk4e/Ys3njjDYNY6H358mVERERAoVDg6NGjMDExQd++fREUFITAwEDY2NiIjkhaFBQUhKysLGRmZnJ9rQEoKSnB9u3b8fnnn+PatWsYOHAgFi5ciDfffFN0NKHi4+Ph7e2NY8eOwcXFRXQcIgAslPR/nJ2dYWtri4iICNFRNObWrVuIjIyEQqFAUlISlEolXFxc1Jt6HB0dRUckDUtNTYWbmxv27NmDQYMGiY5Dr+np06fYvHkzvvjiC9y+fRvvvPMOFixYgM6dO4uOphMqKirQvHlz+Pn5YfPmzaLjEAFgoaT/s2HDBsycORM3btyAlZWV6Dga9/DhQ+zbtw8KhQKxsbF49uwZOnTooC6XXbp04asjAyBJElxdXWFubo7k5GTRcegVFRQUYP369fjqq6/w5MkTjBkzBvPnz+c3f3/h448/xpdffonbt2/DwkJ7p5wRvSwWSgLw7/mPTZs2xYoVKzBr1izRcbSquLgY8fHxUCgU2LNnDx49egR7e3t1uXzzzTdhYmIiOia9pj+OqDtx4gS6desmOg69hFu3biE0NBSbNm1CRUUF3nvvPcyePRt2dnaio+msK1euwMHBAT/88ANGjRolOg4RCyX9f2+//TaysrJw9uxZo3laV15ejpSUFISHhyM8PBy3bt1Co0aN4O/vj+DgYPTv3x/m5uaiY9IrqKiogKOjI3r06IFdu3aJjkMvcO3aNaxevRpbt26Fubk5pkyZgunTpxvkWxJt6Nu3L+RyOQ4cOCA6ChELJf1/0dHRGDhwIE6ePAlnZ2fRcaqcSqXC8ePH1WeMX758GbVr14afnx+Cg4Ph6+trUKduGLKvv/4a06dPx+XLl9G8eXPRcei/XLhwAStWrMCPP/6I+vXrY+bMmfjoo49Qr1490dH0yo4dOzB27FhcvXoVLVq0EB2HjBwLJakplUrY2dkhODjY6I+wkyQJmZmZ6ieXp0+fhrm5OTw9PREcHAx/f380bNhQdEx6jqKiItjZ2WHMmDEIDQ0VHYf+T3p6OkJCQhAeHg4bGxvMnTsX7777LtcAvqaioiJYW1tj5syZWLZsmeg4ZORYKOk/LFiwAFu2bMGtW7f4qvdPrl27hoiICISHh+Pw4cOQyWTo3bu3et0l13rpniVLlmDdunXIz89H/fr1RccxWpIk4dChQ1i+fDni4+Ph4OCABQsWYPTo0TAzMxMdT++99957iI+Px7Vr1zgqi4Ti3z76D+PGjcPDhw8RFRUlOopOadGiBWbOnImDBw/i1q1b+Oabb2BhYYG5c+fC3t4e3bp1w/Lly3HhwgXRUen/TJkyBeXl5diyZYvoKEZJkiRER0ejd+/e6NOnD27duoVdu3YhKysLEydOZJnUkPHjxyMvL4/rKEk4PqGk/9GrVy/Ur18f0dHRoqPovMePHyM6Ohrh4eGIjo5GUVER2rRpo35y2b17d6PZ4KSL3n33XURHRyMnJ4cFpopUVFTgt99+Q0hICM6cOYOePXti8eLFGDhwIP9f0AJJktCuXTs4OzsjLCxMdBwyYnxCSf9j/PjxiIuLw40bN0RH0Xl169bF8OHD8fPPP+PevXuIioqCq6srvv32W7i4uMDOzg5Tp07FgQMHoFQqRcc1OrNmzVI/GSPtKisrw7Zt29C+fXsMHToUVlZWSEpKwpEjRzBo0CCWSS2RyWQYP348FAoFHj16JDoOGTE+oaT/8fjxYzRp0gRLly7F/PnzRcfRS0qlEocPH1afMX79+nVYWlpi8ODBCAoKwoABA1CjRg3RMY3CoEGDkJuba1TjsKpScXExvvvuO6xevRr5+fkIDAzEwoUL0aNHD9HRjMatW7dga2uLDRs2YNKkSaLjkJFioaS/NHLkSKSnp+PChQv8IlxJkiQhPT1dXS6zsrJQs2ZN+Pr6IigoCAMHDkTdunVFxzRYycnJ8PDwQGxsLLy9vUXHMRiPHz/Gxo0bERoaioKCAgwfPhwLFixAhw4dREczSoMHD8adO3dw/Phx0VHISLFQ0l9KTEzEgAEDcOTIEfTq1Ut0HIOSlZWlnnV58uRJVKtWDf3790dQUBACAgLQuHFj0RENiiRJ6N69O+rXr4+EhATRcfTevXv38OWXX2LDhg149uwZxo8fj3nz5qFly5aioxk1hUKBIUOGICMjAx07dhQdh4wQCyX9pYqKCrRo0QK+vr7YvHmz6DgGKz8/HxEREVAoFDh48KD6LOrg4GAEBQVxWLGG7N69G8OHD8fp06fRuXNn0XH00vXr1/HFF19gy5YtkMlkmDRpEmbNmoWmTZuKjkb49xpWGxsbjBkzBl988YXoOGSEWCjpuT7++GN89dVXuHXrFgcPV4H79+9jz549CA8PR3x8PEpLS/HGG2+oy2XHjh25/OA1KZVKtGrVCn369MGOHTtEx9Erly9fxqpVq/D999+jZs2amDZtGqZNmwZLS0vR0ei/zJw5E2FhYbhx4waqVasmOg4ZGRZKeq4rV67AwcEBO3fuxMiRI0XHMSqFhYWIjY1FeHg49u7di8LCQrRq1UpdLl1cXDjE+BWtW7cOc+fOxbVr19CsWTPRcXTe2bNnsWLFCvz8889o1KgRZs+ejUmTJvH4UR2WkZGBTp06ITw8HIGBgaLjkJFhoaQX6tOnD6pVq4bExETRUYxWaWkpDhw4gPDwcERERODevXuwtrZGQEAAgoOD0bdvXz6NeAmFhYWwtbXF+++/j88//1x0HJ117NgxhISEYM+ePbC3t8f8+fMxbtw4TiXQE926dUPTpk15OAVVOT7ioBcaN24cDhw4gNzcXNFRjJa5uTl8fX3VR2IePHgQw4YNQ2xsLLy8vGBlZYXRo0dDoVCgqKhIdFydVbt2bUyaNAmbN2/GkydPRMfRKZIkYf/+/ejXrx969eqF7OxsfP/998jOzsaHH37IMqlHJkyYgOjoaNy+fVt0FDIyLJT0Qm+//TYsLCy47kxHmJiYoHfv3li7di2uXr2KU6dOYerUqfj9998xZMgQNGrUCEFBQdixYwcePnwoOq7OmTp1Kp49e4Z//etfoqPoBJVKhcjISPTs2ROenp54/PgxfvvtN2RmZmLMmDF88q2Hhg8fDlNTU/zwww+io5CR4Stv+lvjx4/HwYMHkZ2dzXV7Oiw7Oxvh4eEIDw/HsWPHYGpqir59+yIoKAiBgYHcjft/xo4di6SkJFy5csVoC5NSqcRPP/2EFStWIDMzE+7u7li0aBG8vLy48csADB8+HGfOnEFmZib/PKnKsB3Q3xo3bhyuXr2Kw4cPi45CL9C6dWvMmzcPR48exfXr1/Hll18CAKZPnw4bGxv06tULn3/+ObKzswUnFWv27NnIz8/HL7/8IjpKlSstLcWWLVvQpk0bjBo1Cvb29jh06BBSUlLg7e3N8mEgJkyYgAsXLiAtLU10FDIifEJJf0uSJDg4OMDd3R3btm0THYdeUUFBAfbu3Yvw8HDExcXh2bNn6NixI4KCghAUFITOnTsbXZHw9vbGvXv3kJ6ebhS/96dPn2LLli344osvcOvWLbz11ltYuHAhunTpIjoaacEfc4R9fHywZcsW0XHISLBQ0kv55z//iVWrVuH27duoVauW6Dj0moqKihAfHw+FQoG9e/fi0aNHaN68ubpcurq6wsTERHRMrUtISICXl5d6I4qhevjwITZs2IAvv/wSjx8/xujRozF//ny0adNGdDTSsn/84x9Yt24dbt++zTnCVCVYKOml5OXloXnz5ti6dSvGjRsnOg5pQHl5OZKTk6FQKBAREYHbt2/DysoKAQEBCAoKQr9+/WBubi46plZIkoTOnTvDxsYG0dHRouNo3O3btxEaGoqNGzdCqVTi3Xffxdy5c2FnZyc6GlWRq1evolWrVtixYwdGjx4tOg4ZARZKemmenp4oLy9HSkqK6CikYSqVCmlpaVAoFAgPD8eVK1dQp04dDBw4EEFBQfD19TW4J9M//PADxowZY1BnH+fm5uLzzz/Hd999BzMzM0yePBkzZszg+fBGysPDAzKZDAcOHBAdhYwACyW9tLCwMIwaNQqXL19Gq1atRMchLZEkCefOnUN4eDgUCgXOnDkDc3NzeHl5ISgoCIMHD0bDhg1Fx6y0srIytGzZEl5eXti6davoOJWSlZWFlStXIiwsDHXr1sXMmTMxefJk1KtXT3Q0EmjHjh0YO3Ysrly5gpYtW4qOQwaOhZJeWnFxMaytrTFt2jT885//FB2HqsjVq1cRERGB8PBwpKamQiaToU+fPupxRLa2tqIjvrbVq1dj8eLFyM3NhbW1teg4r+zUqVMICQmBQqFA06ZNMWfOHLz33nuoWbOm6GikA4qKimBtbY2ZM2di2bJlouOQgWOhpFfy/vvvIzY2Fjk5OZxJaYRu376NqKgohIeHY//+/SgvL0e3bt3UZ4y3bdtWdMRX8vjxY9ja2mLq1KlYvny56Dgv7dChQwgJCUFsbCxatWqFBQsWYPTo0Qa75pVe3/vvv4+4uDhcu3aNn9mkVSyU9EqOHj0KV1dXJCQkwNPTU3QcEujx48fYt28fwsPDER0djeLiYrRt2xZBQUEIDg6Gs7OzXozkmT17NrZt24a8vDydXicqSRJiY2MREhKCw4cPo2PHjli0aBHefvttmJqaio5HOoqf2VRVWCjplUiShHbt2sHZ2RlhYWGi45COePbsGRISEhAeHo6oqCgUFBTA1tYWgYGBCA4Ohpubm86Wnry8PLRs2RKhoaGYOnWq6Dj/o6KiAuHh4QgJCcHp06fh4uKCxYsXY+DAgXziRH9LkiS0b98eXbp0wY8//ig6DhkwfhrRK5HJZBg3bhwUCgUeP34sOg7piBo1asDf3x/btm3DnTt3sH//fgQEBEChUMDDwwNNmjTBhAkTsHfvXpSUlIiO+x/s7OwwdOhQhIaGQqlUio6jVl5eju3bt6NDhw54++230aBBA+zfvx9Hjx7F4MGDWSbppchkMowfPx4KhQIPHz4UHYcMGD+R6JWNGTMGZWVl+Omnn0RHIR1kamqKfv36Yf369cjLy0NaWhree+89HDlyBIMHD0ajRo3wzjvvYNeuXXjy5InouAD+/dr72rVrCA8PFx0Fz549w9dffw0HBweMHz8ebdu2xbFjx5CYmIh+/frpxTIC0i2jR4+GUqnE7t27RUchA8ZX3vRa/Pz88PDhQxw9elR0FNIjFy5cUM+6TE9Ph5mZGfr374+goCAEBATAyspKWLZ+/frh6dOnSEtLE1Lanjx5gk2bNmHt2rW4f/8+hg0bhgULFsDJyanKs5DhGTx4MG7fvo0TJ06IjkIGioWSXssvv/yCd955BxcuXNC7nb2kG3Jzc9XjiA4dOgRJkuDm5qY+BrJ58+ZVmic6OhoDBw7EwYMH0bt3bwBAUakSOQ+KUKZUwcxUjuaWNVHTXLNrQe/fv48vv/wSGzZsQHFxMcaNG4d58+Zx1itpVHh4OIKDg3H27Fl+k0JawUJJr6WkpARNmzbF+++/j5UrV4qOQ3ru3r176nFECQkJKCsrQ5cuXdTlskOHDlp/aqhSqeDk5IRm7buh1+h5SLp4F3kFxfjzB6QMgF0DC3i0scJIFzu0blz7te9348YNfPHFF9i8eTMAYNKkSZg1axZsbGwq9xsh+gtlZWWwsbHB6NGjsXbtWtFxyACxUNJrmzJlChQKBfLy8nR2By/pn8LCQsTExEChUCA6OhqFhYVo3bq1ulz26NFDKxtS8guKMXZDLK4+M4dcBqhe8MloIpehQiWht0NDhAQ5wbaBxUvf58qVK/j888+xfft2WFhYYOrUqZg2bZpBnD5Eum3WrFnYuXMnrl+/DjMzM9FxyMCwUNJrS09PR7du3bBv3z74+fmJjkMGqLS0FPv370d4eDgiIyNx7949NG3aFIGBgQgKCkKfPn1QrVq1St9n94k8fBKVCaVKQsWLmuR/MZHLYCqXYZl/BwzrbvfCn5uRkYGVK1di9+7daNiwIWbNmoUPP/wQderUqWx8opdy7tw5ODk5QaFQICgoSHQcMjAslPTaJElCp06d0K5dO/z888+i45CBq6ioQGpqqvqM8by8PNSvXx+DBw9GUFAQvLy8YGHx8k8K/7AhKRtr4i9VOt8cL0dM8Wj9P/8+LS0NISEhiIqKgp2dHebNm4cJEyagRo0alb4n0avq3r07rK2tERUVJToKGRiODaLX9sd8s8jISBQUFIiOQwbOxMQE7u7uCA0NRU5ODtLT0zF58mScPHkSQUFBaNiwIYKDg7Fz5048evTopa65+0SeRsokAKyJv4SfTuQB+Pc3WwcOHICnpyd69uyJixcvYvv27bh8+TImT57MMknCTJgwAdHR0bh9+7boKGRg+ISSKuXu3buwsbFBaGgopkyZIjoOGalLly6pn1weP34cpqam8PDwQHBwMAICAmBtbf0/vya/oBieoSkoVao0lsPcVI4FTuXYvDYEaWlp6NKlCxYtWoSgoCCYmJho7D5Er+vhw4ewtrbGP//5T8ydO1d0HDIgLJRUaQEBAbhx4wZOnjwpOgoRrl+/jsjISISHhyM5ORkqlQo9e/ZEcHAwgoKC1ON4Rn+XhiNXH7zSmsm/parAs9wzcLwRj8WLF8Pb25uDyEnnjBgxAqdPn8b58+f595M0hoWSKi0iIgJBQUGcb0Y658GDB9i7dy/Cw8MRFxeHkpISODk5wSNwOCLLO2ntvokz3eFg9fojhYi0KSEhAV5eXjhy5Ah69eolOg4ZCBZKqrTy8nLY2Nhg1KhRnG9GOquoqAixsbEIDw/H/ocNYNbREzK55l9Dm8hlGO1ij6X+HTR+bSJNqKioQMuWLeHt7Y0tW7aIjkMGgptyqNKqVauGUaNGYefOnSgvLxcdh+gv1axZE0OGDMHOnTvRuk+gVsokAFSoJCRduquVaxNpgomJCcaNG4fdu3ejqKhIdBwyECyUpBHjxo3DvXv3EB0dLToK0Qs9LVUi/+Ezrd4j70ExikqVWr0HUWWMGzcOhYWFUCgUoqOQgWChJI3o1KkTunbtim3btomOQvRCuQ+KoO11PhKAnAd88kO6q0WLFvDw8MDWrVtFRyEDwUJJGjN+/Hjs27cPd+/ydR/prjINjgnShfsQva7x48cjOTkZV69eFR2FDAALJWnM8OHDIZfLERYWJjoK0XOZmVbNx15V3YfodQ0ZMgS1a9fG9u3bRUchA8BPPNIYS0tL+Pv7Y9u2beDwANJVzS1rQtuT92T/dx8iXWZhYYFhw4Zh+/btqKioEB2H9BwLJWnU+PHjkZGRgVOnTomOQvSXapqbwq7Bq5/5/Sqkp/ewfNk/cPLkSX5zRTptwoQJyM/Px4EDB0RHIT3HQkka5eXlBWtra75CIZ0lSRJa1ngGSNpZ4ygH0Ez+GFu2bEH37t1hb2+PGTNm4ODBg3wKRDrHxcUFbdu25YZKqjQWStIoU1NTjB49Gj/++CNKS0tFxyFSU6lUUCgU6N69O8KWTgJk2vn4UwHYvngCbt++jQMHDiAgIAC//PIL+vTpA2tra7z//vuIjY1FWVmZVu5P9CpkMhkmTJgAhUKBhw8fio5DeoyFkjRu/PjxKCgoQFRUlOgoRFAqlQgLC4OTk5N6E0L07q1wc2gIE7lmV1OayGXo7dAQDla1YWpqCg8PD6xfvx75+fk4duwYxo8fjwMHDsDX1xdWVlYYNWoUFAoFh0uTUKNHj4ZSqcSuXbtERyE9xqMXSSt69eqF+vXrc9A5CVNaWoodO3Zg5cqVuHr1Kvz8/LB48WK4uroCAPILiuEZmoJSDY73MTeVI3FmH9i+YI2mJEk4d+4cFAoFFAoFzp49ixo1asDHxwfBwcEYNGgQ6tWrp7FMRC/D398ft27dwokTJ0RHIT3FJ5SkFePGjUNcXBxu3rwpOgoZmeLiYnz55Zdo1aoVPvjgA3Tp0gXp6enYt2+fukwCgG0DCyzT8Hnbn/p3eGGZBP79itHJyQmffPIJzpw5g+zsbCxbtgy3bt3C6NGj0ahRI/j4+GDLli24c+eORvMRPc+ECRNw8uRJZGRkiI5CeopPKEkrHj9+jCZNmmDp0qWYP3++6DhkBJ48eYKNGzdi7dq1KCgowIgRI7Bw4UK0a9fuhb9uQ1I21sRfqvT953q1wWQPh0pd48aNG4iIiMBvv/2GlJQUSJIENzc3BAcHIygoCPb29pXOSfRXysvLYWNjg1GjRmHt2rWi45AeYqEkrRk5ciTS09Nx4cIFyGTanvxHxurBgwf48ssvsX79ehQXF2PcuHGYP38+WrZs+dLX2H0iD59EZUKpklChevmPRBO5DKZyGT7174Ch3e1eJ/5z3b9/H1FRUVAoFEhISEBZWRmcnZ0RHByM4OBgtG3bVqP3I5o9ezZ27NiBGzduwMzMTHQc0jMslKQ1CQkJ8PLywtGjR9GzZ0/RccjA3L59G1988QU2bdoElUqFDz74AHPmzIGNjc1rXS+/oBiLwjNw6PJ9mMhlLyyWcvx7N3fHhibYNN79b19zV9aTJ08QHR0NhUKB6OhoFBUVoV27dupy2aVLF37TRpV27tw5ODk5QaFQICgoSHQc0jMslKQ1FRUVaNGiBXx9fbF582bRcchA5Obm4vPPP8d3330Hc3NzTJ48GTNmzICVlZVGrp99pxBhaXlIunQXeQ+K8ecPSBkAO0sL9HVshF9WTENLSwvs3btXI/d9Wc+ePUNCQgIUCgWioqLw8OFDNG/eXF0ue/XqBbmcy+Pp9fTo0QONGzfGnj17REchPcNCSVr18ccf46uvvsKtW7dgYaHdpzhk2C5duoSVK1fihx9+QN26dTFjxgxMmTJFqzuii0qVyHlQhDKlCmamcjS3rIma5qYAgB07dmDs2LHIyMhAx44dtZbhRcrLy5GSkgKFQoHw8HDcvn0bTZo0QWBgIIKDg9G3b19Uq1ZNSDbST5s2bcLUqVORn58Pa2tr0XFIj7BQklZduXIFDg4OCAsLw4gRI0THIT109uxZhISE4JdffoGVlRXmzp2L999/H7Vq1RKaq7y8HK1atYKHhwe+//57oVmAfw9uP3bsGBQKBX777Tfk5OSgXr168Pf3R3BwMLy8vFCjRg3RMUnHPXr0CNbW1li2bBnmzZsnOg7pERZK0jp3d3eYm5sjISFBdBTSI2lpaVi+fDn27NkDe3t7zJ8/H+PHj0f16tVFR1Nbt24d5s6diytXrsDOTrObcipDkiScOXNGPesyMzMTFhYW8PPzQ3BwMAYOHIg6deqIjkk6ihsq6XWwUJLWbdu2DRMnTkROTo5OfdEl3SNJElJSUrB8+XIkJiaiTZs2WLhwIUaMGKGTr26fPn0KOzs7jB07FqGhoaLjPNfFixcRHh4OhUKBEydOwMzMDJ6enggODoa/vz8aNWokOiLpkMTERAwYMABHjhxBr169RMchPcGV26R1b7/9NiwsLHTitSDpJkmSEB0dDTc3N3h4eODu3bv46aefkJmZibFjx+pkmQSAWrVqYfLkyfj2229RUFAgOs5ztWnTBgsWLMDx48eRm5uL1atXo6ioCO+//z6aNGnyH0dEEvXr1w92dnbYunWr6CikR1goSetq1aqFt956C9u3bwcfiNOfqVQq/Pbbb3B2dsbAgQNRUVGBPXv24Pfff8c777wDExMT0RH/1tSpU1FRUYGNGzeKjvJS7OzsMG3aNCQnJ+PWrVvYvHkzatSogdmzZ8POzg4uLi5YtWoVsrOzRUclQeRyOcaNG4effvqJ58zTS+Mrb6oSKSkp6Nu3L1JSUuDu7i46DgmmVCqxe/duhISE4MKFC/Dw8MDixYvRr18/vVyzNXnyZPzyyy/Izc3V240vjx8/xt69e6FQKBATE4Nnz56hY8eO6nFEnTp10ss/G3o9165dQ8uWLfH9999jzJgxouOQHmChpCqhUqnQunVruLu7Y9u2baLjkCClpaX4/vvvsWrVKly9ehUDBw7E4sWL9X6d1tWrV9G6dWusX78eH330keg4lVZcXIy4uDgoFArs2bMHjx8/RsuWLdXl0sXFhbMujUC/fv0gSRKSkpJERyE9wEJJVebTTz/F559/jtu3bwsf+UJVq7i4GFu2bMGaNWtw8+ZNDBkyBIsWLUKXLl1ER9OYYcOG4cSJE7h48SJMTU1Fx9GYsrIyJCUlQaFQICIiAnfv3oW1tTWCgoIQHBwMd3d3nV3jSpWzc+dOjB49GleuXHmlo0zJOLFQUpXJzc1FixYtsHXrVowbN050HKoCjx8/xsaNGxEaGoqCggKMHDkSCxYsQLt27URH07jTp0+ja9eu2L17N4YOHSo6jlZUVFTgyJEj6nFEeXl5aNCggXrW5YABA3RqrBNVTnFxMaytrTF9+nR8+umnouOQjmOhpCrl6empPt2DDNf9+/fx5ZdfYv369Xj27BkmTJiAefPmoUWLFqKjaZWXlxfu37+P9PR0g19vKEkSTp06pR6kfvHiRdSqVUs969LPzw+1a9cWHZMq6YMPPkBMTAyuXbumF5vkSBwWSqpSYWFhGDVqFC5fvoxWrVqJjkMaduvWLXzxxRf45ptvIEkSPvjgA8yePRs2Njaio1WJ/fv3w9PTE/Hx8RgwYIDoOFXqwoUL6ieXp06dgrm5OQYMGIAhQ4Zg8ODBsLS0FB2RXkNaWhp69uyJuLg4eHl5iY5DOoyFkqoUX6EYppycHHz++efYunUrzM3NMXXqVEyfPt3oBmZLkoRu3bqhfv36SExMFB1HmJycHPUg9dTUVMjlcvTt2xfBwcEIDAxE06ZNRUeklyRJEjp06IA33ngDu3btEh2HdBgLJVW5999/H3Fxcbh27Rp3iuq5ixcvYsWKFQgLC0PdunUxc+ZMTJ48GfXq1RMdTZiff/4ZQ4cOxcmTJ+Hs7Cw6jnC3b99GZGQkFAoFDhw4AKVSiV69eiE4OBhBQUF8U6EH1qxZgyVLluDWrVuoX7++6Diko1goqcodPXoUrq6uSEhIgKenp+g49BrOnDmDkJAQ/PLLL2jSpAnmzp2L999/HzVr1hQdTbiKigq0adMGzs7O+Omnn0TH0SkPHz5Uz7qMjY1FSUkJ3njjDfU4og4dOhj82lN9dPv2bTRr1gxfffWVQYzFIu1goaQqJ0kS2rVrh27dumHnzp2i49ArOHbsGJYvX469e/eiefPmmD9/PsaNG8edvf/lm2++weTJk3Hp0iU+gXuOoqIixMbGQqFQYO/evXjy5Alat26tLpfdu3dnudQhAQEBuHHjBk6ePCk6CukoFkoSYuXKlVi2bBlu376NunXrio5DLyBJEpKTk7F8+XLs378fbdu2xcKFCzF8+HDOH3yOZ8+eoXnz5ggODsamTZtEx9F5paWlOHDggHrW5f3799GsWTP1rEs3NzeDmu2pjyIiIhAUFIQzZ86gU6dOouOQDuICNhJi9OjRKCsr4ytBHSZJEvbt24c333wT/fr1w/379/Hzzz/j3LlzGDNmDMvkC9SoUQPTpk3Dtm3bcOfOHdFxdJ65uTl8fX3x7bff4tatW0hOTkZwcDDCw8Ph4eEBa2trvPvuu4iOjkZpaanouEZp4MCBsLKy4kln9Fx8QknC+Pr64vHjxzhy5IjoKPQnKpUKCoUCISEhOH36NHr16oXFixfDz8+PryBfwcOHD2FnZ4fp06fjs88+Ex1HL0mShJMnT6pnXWZnZ6N27doYNGgQgoOD4ePjw1O3qtCcOXPw/fff48aNGzAzMxMdh3QMCyUJ88du2AsXLqBt27ai4xi98vJy7Nq1CytWrEBWVhb69euHJUuWoG/fviySr2n27NnYunUr8vLyOOS7kiRJwvnz59WzLn///XdUr14d3t7eCA4OxuDBg7kDWcsyMzPRsWNH/PbbbwgODhYdh3QMCyUJU1JSgqZNm+L999/HypUrRccxWqWlpdi+fTtWrlyJnJwcDBo0CIsXL0bPnj1FR9N7+fn5aNmyJVatWoVZs2aJjmNQrl69ivDwcPz22284evQoTE1N4eHhoZ512aRJE9ERDZKLiwusrKywZ88e0VFIx7BQklBTpkxBeHg48vLyeKxXFSsqKsKWLVuwZs0a3Lp1C2+99RYWLVqEzp07i45mUMaNG4f9+/fjypUrfE2oJTdv3kRERAQUCgWSk5OhUqng6uqqnnVp6Ed+VqU/Jhjk5+dzQD39BxZKEurkyZPo3r07oqOj4evrKzqOUXj8+DE2bNiAdevW4eHDhxg1ahQWLFjAZQdacv78eXTo0AHbt2/H2LFjRccxeA8ePMCePXugUCgQHx+P0tJSdOnSRT2OqH379qIj6rVHjx7B2toaS5cuxfz580XHIR3CQklCSZKETp06oV27dvj5559FxzFo9+/fx7p167BhwwY8e/YMEyZMwLx58/j0pgr4+/vjypUryMjI4OlQVaiwsBAxMTFQKBTYt28fnj59irZt26rLZdeuXbk++DWMHDkS6enpuHDhAv/7kRoLJQm3du1aLFy4ELdu3UKDBg1ExzE4N2/exJo1a7B582YAwKRJkzB79my+rqpCqampcHNzQ1RUFAYPHiw6jlEqKSlBYmIiFAoFIiMjUVBQADs7O3W5dHV15bKbl7R//354enoiNTUVrq6uouOQjmChJOHu3LkDGxsbfPnll5g8ebLoOAYjJycHq1atwtatW1GjRg1MnToV06dPR8OGDUVHM0pvvvkmZDIZDh8+LDqK0VMqlTh48CAUCgXCw8Nx8+ZNWFlZITAwEMHBwfDw8OB61xdQqVRo2bIlBgwYgG+//VZ0HNIRLJSkE3isl+ZkZWVhxYoVCAsLQ/369TFz5kxMnjyZJxIJFhUVhYCAABw+fBhvvvmm6Dj0f1QqFY4fP66edXn16lXUrVsXgwcPRnBwMLy9vWFhYSE6ps5ZunQpvvjiC9y+fRs1a9YUHYd0AAsl6YQ/jvU6e/YsnJycRMfRS7///jtCQkLw66+/wtraGnPnzsV7773HD3sdoVKp4OTkBAcHB0RGRoqOQ39BkiRkZGSoZ11mZGSgRo0a8PX1RXBwMAYOHIh69eqJjqkTcnJy0KJFC3z//fcYM2aM6DikA1goSSeUlZXBxsYGY8aMwRdffCE6jl45evQoli9fjn379qFFixZYsGABxo4dC3Nzc9HR6L9s374d48ePR2ZmJncb64Hs7GyEh4dDoVAgLS0N1apVQ//+/REcHIyAgABYWVmJjihU//79UVFRgeTkZNFRSAewUJLOmDlzJn788Udcv36d50T/DUmSkJSUhM8++wxJSUlo27YtFi1ahOHDh8PU1FR0PHqOsrIy9doznomsX65fv66edZmSkgIAcHNzU8+6tLOzE5yw6oWFhWHUqFG4fPkyWrVqJToOCcb5FaQzxo8fj7t37yI6Olp0FJ0lSRL27t0LV1dX9O/fHw8fPsQvv/yCzMxMjB49mmVSx5mZmWHmzJkICwvD9evXRcehV9CsWTNMmTIFBw4cwO3bt/Htt9+idu3amDdvHuzt7dG9e3esWLECFy9eFB21ygQFBaFOnTrYvn276CikA/iEknSKs7MzbG1tERERITqKTqmoqMBvv/2GkJAQnDlzBq6urli8eDF8fX05B07PFBYWws7ODhMnTsSaNWtEx6FKevLkCaKjo6FQKBAdHY2ioiK0b99ePY6oc+fOBv3/6KRJk7Bv3z7k5ORw7JKR4xNK0injxo3Dvn37cPfuXdFRdEJ5eTm+//57dOjQAUOHDkXDhg2RlJSEw4cPw8/Pz6C/UBmq2rVr46OPPsLmzZvx8OFD0XGokurUqYNhw4bh559/xr179xAZGYnu3bvj66+/RteuXdGyZUvMnj0bqampUKlUouNq3Pjx43H9+nXs379fdBQSjIWSdMqIESMgl8sRFhYmOopQJSUl+Oabb+Do6Ihx48bB0dERx44dQ2JiIvr27csiqeemTZuG8vJybNq0SXQU0qAaNWrA398f27dvx507d5CQkABfX1/8+OOPcHNzg42NDT766CMkJiaivLxcdFyN6NGjB9q3b4+tW7eKjkKC8ZU36Zy3334bFy9exJkzZ4yuOBUVFWHz5s1Ys2YNbt++jXfeeQeLFi1Cp06dREcjDZs0aRLCw8ORk5ODGjVqiI5DWqRSqXDs2DH1rMucnBzUr18f/v7+CA4OxoABA/T678AXX3yBxYsX4+bNmzztzIixUJLO2bdvHwYNGoT09HR07dpVdJwq8ejRI2zYsAHr1q3D48ePMWrUKCxYsABt2rQRHY205PLly2jTpg02btyIDz74QHQcqiKSJOH3339Xz7o8f/48atasCT8/PwQHB8PPzw916tQRHfOV8LQzAlgoSQcplUrY2dlhyJAhWL9+veg4WnXv3j2sW7cOGzZsQGlpKSZOnKjeNUqG75133sHp06eRlZXFDQ1GKisrSz3r8uTJkzAzM8OAAQMQHBwMf39/vTkqNTAwENevX+dpZ0aMhZJ00vz58/Gvf/0LN2/eNMgB3Tdu3MCaNWuwZcsWyGQyTJo0CbNnz4a1tbXoaFSFTp48ie7du+Pnn3/G22+/LToOCZaXl6cul4cOHYJMJkOfPn0QHByMwMBANGvWTHTE54qMjERgYCDOnDnDJTpGioWSdNKFCxfQvn17/PLLL3jrrbdEx9GYa9euYdWqVdi2bRtq1KiBadOmYfr06bC0tBQdjQTp378/Hj9+jBMnThjdmmF6vjt37iAqKgoKhQL79+9HeXk5XFxc1OOIHBwcREf8D+Xl5WjWrBlGjBiB0NBQ0XFIABZK0lk9e/aEpaUl9u3bJzpKpV24cAErVqzAjz/+iAYNGmDmzJn46KOPULduXdHRSLD4+Hh4e3tj//796Nevn+g4pIMePXqEffv2QaFQICYmBs+ePYOTk5O6XDo5OenENyNz5szB999/jxs3bsDMzEx0HKpiLJSkszZv3oyPPvoI+fn5aNq0qeg4r+X06dNYvnw5FAoFmjZtirlz5+K9996DhYWF6GikIyRJQteuXWFlZYW4uDjRcUjHFRcXIy4uDgqFAnv27MHjx4/RqlUrdbns0aMH5HIxEwEzMzPRsWNH/PbbbwgODhaSgcRhoSSd9ejRI1hbW2Pp0qWYP3++6Div5MiRI1i+fDmio6PRsmVLLFiwAGPGjDHI9aBUebt27cKIESNw6tQpdOnSRXQc0hNlZWVISkqCQqFAREQE7t69i6ZNmyIoKAjBwcFwd3ev8uNYXVxc0KhRI+zduxcAUFSqRM6DIpQpVTAzlaO5ZU3UNOcRsYaIhZJ02ogRI3D69GmcP39eJ17pvIgkSThw4ACWL1+OpKQktGvXDosWLcKwYcN4xja9kFKphKOjI1xcXLBr1y7RcUgPVVRU4MiRI+pxRHl5ebC0tFTPuvT09ET16tW1nmPz5s2Y9vEKTP3yZ5y4XoS8gmL8uWTIANg1sIBHGyuMdLFD68a1tZ6JqgYLJem0hIQEeHl54ejRo+jZs6foOH9JkiTs3bsXy5cvR1paGrp27YrFixcjMDBQ2Ksn0j9ff/01pk2bhsuXL6NFixai45AekyQJp06dUg9Sv3jxImrVqoWBAwciODgYvr6+qF1b80Uuv6AYc385jWM5jyCDBAnPfwhgIpehQiWht0NDhAQ5wbYBlwHpOxZK0mkVFRVo0aIFfH19sXnzZtFx/kNFRQV+/fVXhISE4OzZs3jzzTexePFi+Pj46PzTVNI9xcXFsLe3x9ChQ7FhwwbRcciAXLhwQf3k8tSpUzA3N4eXlxeCg4MxePBgjUyZ2H0iD59EZUKpklChevlaYSKXwVQuwzL/DhjW3a7SOUgcFkrSeUuWLMH69etx+/ZtnTierLy8HGFhYVixYgUuXboET09PLFmyBO7u7iySVCmffvopVq5cidzcXDRq1Eh0HDJAOTk56lmXqampkMvl6Nu3r3rW5etsgNyQlI018ZcqnW2OlyOmeLSu9HVIDL6PI503btw4PHnyBOHh4UJzlJSUYOPGjWjdujXGjx+Ptm3bIi0tDQkJCejTpw/LJFXa5MmTIZPJDP6EKBKnefPmmDlzJg4dOoSbN2/i66+/homJCaZPnw4bGxu4urpizZo1uHr16ktdb/eJPI2USQBYE38JP53I08i1qOrxCSXpBXd3d5ibmyMhIaHK7/306VNs3rwZa9aswZ07dzB06FAsXLiQp0GQVsyYMQM7duxAXl4eatWqJToOGYmHDx9i7969UCgUiI2NRUlJCTp37qweR9S+ffv/+aY5v6AYnqEpKFWqNJbD3FSOxJl9uKZSD7FQkl7Ytm0bJk6ciJycHNjZ2VXJKIpHjx5h/fr1WLduHZ48eYLRo0djwYIFcHR01Oh9iP4sLy8PrVq1wpo1azB9+nTRccgIFRUVITY2Vj3rsrCwEI6Ojupy2a1bN8hkMoz+Lg1Hrj54pTWTf8dELoNrS0v8MNFFY9ekqsFCSXqhsLAQNu2d4TZuIYrqNNfqKIq7d+8iNDQUX3/9NcrKyvDuu+9i7ty5sLe3r/Tvg+hljBkzBikpKbh8+TKqVasmOg4ZsdLSUuzfvx8KhQKRkZG4f/8+mjVrBs8ho5FU402t3TdxpjscrDhSSJ+wUJLOyy8oxqLwDBy6fB9QVQByk+f+3MqMorh+/TrWrFmDLVu2QC6X46OPPsKsWbPQpEkTTfw2iF5aRkYGOnXqhB07dmD06NGi4xAB+Pe81MOHD/97kHp+Ncgc+0D2gs/j12Uil2G0iz2W+nfQ+LVJe1goSadVxSiKq1evYtWqVdi2bRtq1qyJadOmYdq0aRoZpUH0ugYOHIi8vDycPXuWG75I57ivTkJeQbHWrm9vaYGUOR5auz5pHnd5k87akJSNBYoMlCpVr7xGp0IloVSpwgJFBjYkZf/lzzl//jxGjx4NR0dHhIeH45///Cdyc3OxbNkylkkSbv78+Th37hxiYmJERyH6D09LlcjXYpkEgLwHxSgqVWr1HqRZLJSkk7Q5iuLUqVMYMmQIOnbsiOTkZKxduxY5OTmYP38+6tSpo5F7ElVW79690bNnT6xatUp0FKL/kPugCNp+tSkByHlQpOW7kCaxUJLOyS8oxidRmRq95j+iMhGecBB+fn5wdnbG77//ji1btuDy5cuYNm0aLCw4ooJ0i0wmw7x583Dw4EEcO3ZMdBwitTINjgnShfuQZrBQks5ZFJ4BpQbHUABAabkSk75LQW5uLnbu3ImLFy/i3Xffhbm5uUbvQ6RJAQEBaNOmDZ9Skk4xM62a6lBV9yHN4J8W6ZTsO4U4dPm+RueaAQBkctRo0RXh+49i5MiRMDXV7MxKIm2Qy+WYO3cuIiMjkZWVJToOEQCguWVNaHubmOz/7kP6g4WSdEpYWh5M5Nr5qDKRy/Dj8XytXJtIW0aNGoUmTZpgzZo1oqMQAQBqmpvCTssn2dhZWmj8sArSLhZK0ilJF+9q/unk/6lQSUi6dFcr1ybSFnNzc8yYMQM//PADbt68KToOEU6ePIniyycgqSq0cn0TuQwejlZauTZpDwsl6YynpUqtzjUDOIqC9NMHH3yA6tWrY926daKjkBE7fPgwfHx80L17dzw8EaWVoebAv7/5H9XzxfODSfewUJLO4CgKor9Wt25dfPjhh/jmm2/w6NEj0XHIiEiShISEBPTt2xe9e/fGjRs3sGvXLlw8kYLeDg01vkTJRC5Db4eGPHZRD7FQks7gKAqi55s+fTpKS0uxefNm0VHICEiShKioKPTs2RNeXl4oKipCREQEzpw5g2HDhsHExAQhQU4w1XChNJXLEBLkpNFrUtVgoSSdwVEURM9nbW2NMWPGYN26dSgpKREdhwxURUUFfvrpJ7zxxhsICAiAubk54uLicPz4cQQEBEAu//+fn7YNLLBMw+dtf+rfAbZa3vBD2sGvrKQzOIqC6MXmzp2LO3fu4IcffhAdhQxMeXk5tm/fjvbt22PYsGGwtrZGSkoKDh48CC8vr+eeJz+sux3meDlqJMNcrzYY2p1rJ/UVCyXpjKoYRVFWcBMuzp0xb948JCcno7y8XKv3I9IkR0dHBAUFYfXq1aio0M4OWzIuJSUl2LRpE1q3bo3x48ejXbt2OH78OOLi4uDu7v5S15ji0Rorg51gbip/5TWVJnIZzE3lWBXshMkeDq/zWyAdwUJJOsWjjZX25lDK/n39Hj164IcffoCHhwcsLS0xZMgQfPfddxzJQnph3rx5yM7ORmRkpOgopMeKioqwdu1atGzZEpMnT0avXr1w9uxZREREoHv37q98vWHd7ZA4sw9cW1oCwN9+jv8xcsi1pSUSZ/bhk0kDIJMkSdsba4leWvadQgxYd1Br10+c6Q4Hq9pQqVQ4c+YMoqOjER0djWPHjkGlUqFz587w9fWFn58fevbsyRN1SCf17dsXz549w7Fjx577KpLorzx+/BgbNmzAunXr8OjRI4wePRoLFiyAo6NmXlsD//4cD0vLQ9Klu8h7UPwf0ztk+PfQ8idZRyFlH8Tp5Bj+HTYQLJSkc0Z/l4YjVx9odMC5iVwG15aW+GGiy1/++IMHDxAfH4+YmBjExMTg/v37qFevHry9veHr6wsfHx80btxYY3mIKiMmJgZ+fn5ISkpC3759RcchPXD//n2sW7cOGzZsQElJCSZOnIh58+bB3t5eq/ctKlUi50ERypQqmJnK0dyyJmqamyI6OhoDBw7E0aNH0bNnT61moKrBQkk6J7+gGJ6hKSjV4Hgfc1M5Emf2eandgxUVFUhPT1c/vTx58iQkSUK3bt3g5+cHPz8/dOvWDSYm2hnqS/R3JElC586d0bRpU8TExIiOQzrs1q1bWLNmDb755hsAwIcffojZs2fD2tpaaC6VSgVHR0e4uLggLCxMaBbSDBZK0km7T+RhgSJDY9dbFez02mt07t69i7i4OERHRyMuLg4PHz6EpaUlfHx84OfnB29vb1haWmosK9HLCAsLw6hRo/D777/jjTfeEB2HdExOTg4+//xzbN26Febm5pg2bRqmT5+Ohg0bio6mFhoaivnz5yMvLw9NmjQRHYcqiYWSdNaGpGysib9U6evM9Wqjsd2DSqUSx48fVz+9PH36NORyOVxcXNRrL7t06fIfs9qItKG8vBytW7eGm5sbdu7cKToO6YhLly5hxYoV2LlzJ+rWrYtZs2Zh8uTJqFu3ruho/+PRo0ewsbHB/Pnz8Y9//EN0HKokFkrSabtP5OGTqEwoVdIrrak0kctgKpfhU/8OWt09ePPmTcTGxiImJgbx8fF48uQJGjduDF9fX/j6+sLLywv16tXT2v3JuH311VeYNWsWLl++jObNm4uOQwKdPXsWISEh+OWXX9C4cWPMnTsX77//PmrW1O25u5MmTUJUVBRycnJgZmYmOg5VAgsl6bz8gmIsCs/Aocv3YSKXvbBY/vHjvR0aIiTIqUpPXCgvL8eRI0fUTy/PnTsHExMTuLq6qtdeOjk5cUcjaUxRURHs7e0xYsQIfPXVV6LjkAAnTpzA8uXLERkZCXt7eyxYsADjxo1D9erVRUd7KefOnYOTkxN2796NoUOHio5DlcBCSXrjZUZReDhaYVRPOzhY1RYVUy0/Px8xMTGIjo5GYmIiioqKYGNjo3417unpidq1xeck/bZ06VJ8/vnnyMvL06n1caRdBw8exPLlyxEfHw9HR0csWrQII0aMQLVq1URHe2UeHh4oLy/H4cOHRUehSmChJL30vFEUuqq0tBSHDh1SF8ysrCxUq1YNvXv3VhfMdu3a8eklvbL79+/Dzs4O8+fPxyeffCI6DmmRJEmIj4/HZ599hsOHD6NTp05YvHgxhgwZotdTJxQKBYYMGYJTp06hS5cuouPQa2KhJBLg6tWr6nKZlJSEZ8+ewd7eXv1q3MPDQ+fXPpHumDp1Knbt2oXc3Fz+vTFAKpUKUVFR+Oyzz5Ceno4ePXpgyZIlGDRokEF8E6pUKtGyZUsMGDAA3333neg49JpYKIkEe/bsGVJSUtRrL69cuQJzc3P06dNHXTBbt24tOibpsJycHDg4OCA0NBRTp04VHYc0pKKiAj///DNCQkJw7tw59OnTB0uWLEH//v0Nokj+2YoVK/Dpp5/i+vXrHMOmp1goiXRMdna2ulwmJyejrKwMDg4O6lfjffr0QY0aNUTHJB0zcuRIpKamIjs7Wy/X0dH/V1ZWhp07d2LlypXIzs6Gj48PFi9eDDc3N9HRtObevXuwtbXFp59+innz5omOQ6+BhZJIhxUVFeHAgQOIiYnBvn37kJeXhxo1aqBfv37qgtmiRQvRMUkHnDlzBp07d0ZYWBhGjBghOg69hmfPnmHr1q3qTVZBQUFYvHgxnJ2dRUerEuPGjUNycjKuXLmi12tCjRULJZGekCQJFy5cUD+9PHToEJRKJdq2bat+Ne7m5gZzc3PRUUkQHx8f3L59G6dPnza4V6KG7OnTp/jmm2/wxRdf4O7duxg2bBgWLlyIjh07io5WpdLT09GtWzeEh4cjMDBQdBx6RSyURHrqyZMn2L9/v7pg3rx5EzVr1oSnpyf8/Pzg6+sLW1tb0TGpCiUlJaFfv36IiYmBj4+P6Dj0Nx49eoT169dj3bp1KCwsxJgxY7BgwQI4OGjmZC995OrqCgsLCyQmJoqOQq+IhZLIAEiShLNnz6p3jh85cgQVFRVwcnJSvxp3dXXl2joDJ0kSXFxcULNmTSQlJYmOQ89x7949hIaG4uuvv0ZpaSnee+89zJ07F3Z22jvVS1/8+OOPGDlyJDIzM9G+fXvRcegVsFASGaCHDx8iISEB0dHRiI2NxZ07d1CnTh14eXmpj4W0trYWHZO04LfffsNbb72FtLQ09OjRQ3Qc+pMbN25gzZo12Lx5M+RyOT766CPMmjULTZo0ER1NZ5SVlcHe3h5BQUHYuHGj6Dj0ClgoiQycSqXC6dOn1a/G09LSIEkSunTpon417uLiAlNT3R0MTy+voqIC7dq1Q6dOnfDrr7+KjkMArl27hlWrVmHbtm2wsLDAtGnTMG3aNI7HeY6lS5dizZo1uHHjBurWrSs6Dr0kFkoiI3P//n3Ex8ern14+ePAA9evXh7e3N/z8/ODt7Q0rKyvRMakStmzZgkmTJiErKwuOjo6i4xitrKwsrFixAmFhYWjQoAFmzZqFjz76CHXq1BEdTafdvHkT9vb2WLNmDaZPny46Dr0kFkoiI1ZRUYETJ06o116ePHkSMpkM3bp1U+8c79atG+Ryueio9ApKSkrQvHlz+Pv7Y8uWLaLjGJ0zZ85g+fLl+PXXX2FtbY158+bhvffeg4WFhehoemP48OFIT09HVlYWP3/0BAslEanduXMHsbGxiI6ORnx8PB49eoRGjRrBx8cHvr6+8Pb2RoMGDUTHpJewcuVKfPLJJ8jJyeF62Spy7NgxLF++HHv37kWLFi2wYMECjB07lqO8XkNqairc3Nw4sUCPsFAS0V9SKpU4duyYeu3lmTNnIJfL0bNnT/XTy86dO3PeoY569OgR7OzsMHnyZKxYsUJ0HIMlSRJSUlLw2WefYf/+/Wjbti0WLVqE4cOHc11yJUiSBGdnZ1hbW2Pfvn2i49BLYKEkopdy48YN9dPLhIQEFBYWokmTJuqxRAMGDOACeh0zd+5cfPvtt8jLy+O6PQ2TJAmxsbH47LPPcOTIEbzxxhtYsmQJgoKCeMqLhmzbtg0TJ07EpUuXjHo2p75goSSiV1ZWVobU1FRER0cjJiYGmZmZMDExwZtvvql+etmxY0c+vRTsxo0baNGiBZYvX465c+eKjmMQVCoVIiIisHz5cpw6dQo9e/bEkiVL4Ofnx7/vGvbs2TPY2tpizJgxWLt2reg49DdYKImo0nJzc9Ube/bv34/i4mI0a9ZMPZaof//+qF27tuiYRmnixImIiYnBtWvXuJavEpRKJX766SeEhITg/Pnz8PDwwJIlS+Dh4cEiqUULFizAN998gxs3bqBmzZqi49ALsFASkUaVlJTg0KFD6rWXly5dQrVq1eDu7q5+etmmTRt+Ea4iFy5cQPv27fHdd99hwoQJouPonbKyMuzYsQMrV67ElStX4Ofnh8WLF8PV1VV0NKOQm5uLli1bYuPGjfjggw9Ex6EXYKEkIq26cuWK+ullUlKSeqTNH+XSw8OD41S0LDAwEFlZWTh//jxHsLykZ8+e4V//+hc+//xz3LhxA8HBwVi0aBG6du0qOprRCQoKQnZ2NjIyMviNqA5joSSiKlNcXIzk5GTExMRg37596tewHh4e6s09XHyveUePHoWrqyvCw8MRGBgoOo5OKywsxKZNm7B27Vrcv38fw4cPx8KFC3mutEAHDhxA//79kZSUhL59+4qOQ8/BQklEQkiShEuXLqlfjaekpKC8vBytW7dWr73s06cPqlevLjqqQXB3d0d5eTmOHDnCpzx/4eHDh/jqq6/w5Zdf4unTpxg3bhzmz5+PVq1aiY5m9CRJQseOHdG2bVv89ttvouPQc7BQEpFOePr0KQ4cOKAumPn5+bCwsEC/fv3UBbN58+aiY+qtffv2YdCgQUhJSYG7u7voODrj7t27WLt2LTZu3Ijy8nK8//77mDNnDmxtbUVHoz/ZtGkTpkyZgmvXrsHOzk50HPoLLJREpHMkSUJmZqZ6LNHhw4ehVCrRrl079dpLNzc3mJmZiY6qN1QqFTp16oTmzZtj7969ouMId/36daxevRrffvstTExMMHnyZMycORONGzcWHY3+wtOnT2FjY4PJkycjJCREdBz6CyyURKTzHj9+jMTERHXBvHXrFmrVqoUBAwbA19cXvr6+aNasmeiYOm/Hjh0YO3YsMjIy0LFjR9FxhLh69SpWrlyJ7du3o1atWpg+fTqmTp3KI0X1wIwZMxAWFob8/HwuhdFBLJREpFckScKZM2fUr8aPHj2qfvr2x9PLXr168di7v1BeXo5WrVqhb9++2LFjh+g4Ver8+fNYsWIFdu3aBUtLS8yePRsffvgh56PqkezsbDg6OmL79u0YO3as6Dj0X1goiUivFRQUID4+HjExMYiJicG9e/dQt25deHl5wc/PDz4+PmjSpInomDpj3bp1mDt3Lq5cuWIUa9FOnz6N5cuXQ6FQwMbGBvPmzcPEiRM5qkpP+fr64t69ezhx4gQ3l+kYFkoiMhgqlQrp6enqV+PHjx+HJEno2rWr+ulljx49jPqs5adPn8LOzg5jx45FaGio6Dhac/ToUXz22WeIjo5Gq1atsGDBAowZM4brbvVcdHQ0Bg4ciKNHj6Jnz56i49CfsFASkcG6d+8e4uLiEB0djbi4OBQUFKBBgwbw8fGBr68vvL290ahRI9Exq9zHH3+M0NBQ5OXlGdTaQUmSkJSUhM8++wxJSUlo164dFi9ejKFDh3IJhIFQqVRwdHSEi4sLwsLCRMehP2GhJCKjUFFRgePHj6vXXp46dQoymQw9evRQP73s2rWrUZwkc/fuXdjb22PRokX4+OOPRcepNEmSEB0djeXLl+Po0aPo0qULlixZgsDAQKP48zQ2oaGhmD9/PvLy8ricRYewUBKRUbp9+zZiY2MRHR2N+Ph4PH78GFZWVvDx8YGfnx+8vLxQv3590TG1ZvLkyfj555+Rm5urt+sJVSoVFAoFli9fjt9//x2urq5YsmQJfHx8uL7OgD169Ag2NjaYP38+/vGPf4iOQ/+HhZKIjF55eTmOHj2qXnt59uxZyOVy9OrVS/308o033jCoknL16lW0bt0aX331FSZPniw6zitRKpXYtWsXQkJCkJWVhf79+2PJkiXo06ePQf0Z0fNNmjQJUVFRyMnJ4bpYHcFCSUT0X65fv46YmBhER0cjMTERT58+hbW1tfq8cU9PT9StW1d0zEobNmwYjh8/jkuXLunFGsPS0lJ8//33WLVqFa5evYpBgwZh8eLF3JxhhM6dOwcnJyfs3r0bQ4cOFR2HwEJJRPRCZWVlOHz4sHrt5YULF2Bqago3Nzf1kZAdOnTQyydjp0+fRteuXbFr1y4MGzZMdJznKi4uxrfffovVq1fj5s2beOutt7Bo0SJ07txZdDQSyMPDA+Xl5Th8+LDoKAQWSiKiV3Lt2jX1zMv9+/fj2bNnsLW1Vb8a79evH2rVqiU65kvz8vLCvXv31JuUdMmTJ0+wceNGrF27FgUFBRg5ciQWLlyItm3bio5GOkChUGDIkCE4deoUunTpIjqO0WOhJCJ6TSUlJUhJSVGvvczOzoaZmRnc3d3VBdPR0VHnitqfJSYmYsCAAYiLi4OXl5foOACABw8e4KuvvsJXX32F4uJijB8/HvPnz0eLFi1ERyMdolQq0bJlSwwYMADfffed6DhGj4WSiEhDsrOz1Wsvk5OTUVpaipYtW6pfjfft21fndlRLkoRu3bqhfv36SExMFJrl9u3bWLt2LTZu3AiVSoUPPvgAc+bMgY2NjdBcpLtWrFiBTz/9FNevX4elpaXoOEaNhZKISAuKioqQnJyM6Oho7Nu3D7m5uahevTo8PDzUBbNVq1aiYwIAfv75ZwwdOhQnT56Es7Nzld8/Ly8Pq1evxr/+9S9Uq1YNU6ZMwYwZM2BlZVXlWUi/3L9/H82aNcOyZcswf/580XGMGgslEZGWSZKErKws9avxgwcPory8HI6OjupX4+7u7jA3NxeSr6KiAo6OjnB2dsbPP/+s/vdFpUrkPChCmVIFM1M5mlvWRE1zze0Gv3z5MlauXIkdO3agdu3amDFjBqZMmWLQ8z9J88aPH48DBw7g6tWrRn2sqmgslEREVaywsBD79+9X7xy/ceMGLCws0L9/f/XTS3t7+yrNtGnTJkyZMgXxx87i0C0g6eJd5BUU489fIGQA7BpYwKONFUa62KF149qvda/MzEyEhIRg9+7daNSoEebMmYNJkybp1WYm0h3p6eno1q0bwsPDERgYKDqO0WKhJCISSJIknDt3Tl0uU1NTUVFRgQ4dOqjL5Ztvvqn14c3ZNwvQb/63MGnWESZyGSpUz//S8MeP93ZoiJAgJ9g2eLl1oenp6Vi+fDnCw8Nha2uL+fPnY8KECahRo4amfhtkpFxdXWFhYSF8HbAxY6EkItIhjx49QkJCgnpzz507d1C7dm0MGDBAXTCbNm2q0XvuPpGHT6IyUaasgISX35FuIpfBVC7DMv8OGNbd7rk/LzU1FZ999hliY2Ph4OCAhQsXYtSoUTzhhDTmxx9/xMiRI5GZmYn27duLjmOUWCiJiHSUSqXC77//rn56mZaWBpVKhTfeeEO99rJnz56VOuVmQ1I21sRfqnTWOV6OmOLRWv3PkiRh//79+Oyzz5CSkoIOHTpg8eLFePvtt/XiVB7SL2VlZbC3t0dQUBA2btwoOo5RYqEkItITDx48QHx8PKKjoxEbG4v79++jXr168PLygp+fH3x8fNC4ceOXvt7uE3lYoMjQWL5VwU54p5st9u7di88++wzHjx+Hs7MzlixZAn9/f8jlco3di+i/LV26FGvWrMGNGzcM4mhUfcNCSUSkhyoqKpCenq5+ennixAkAQLdu3dSvxrt37/7cXa/5BcXwDE1BqVKlsUymMgk1DqzBubQUuLm5YcmSJfDy8tLpwe5kOG7evAl7e3usWbMG06dPFx3H6LBQEhEZgDt37iAuLg4xMTGIi4vDw4cPYWlpCR8fH/j5+cHb2/s/Bj+P/i4NR64+eOHmm1clVShR8+kNfDOsI9zd3TV2XaKXNXz4cKSnpyMrK4tPxKsYCyURkYFRKpVIS0tTP738/fffIZPJ4OLiAj8/Pzi5eWFG/H2t3T9xpjscrF5vpBBRZaSmpsLNzQ0xMTHw8fERHceosFASERm4mzdvIjY2FtHR0YiPj4epy3DU7joQMrnmh0CbyGUY7WKPpf4dNH5tor8jSRKcnZ1hbW2Nffv2iY5jVFgoiYiMSHl5Od5ckYC7z7T30W9vaYGUOR5auz7Ri2zbtg0TJ07EpUuX4ODgIDqO0eACAyIiI1KqkuGeFsskAOQ9KEZRqVKr9yB6nmHDhqFBgwYcH1TFWCiJiIxI7oMiaPu1lAQg50GRlu9C9Ndq1KiBd999F1u3bkVREf8eVhUWSiIiI1KmwTFBunAfor/y4YcforCwEDt37hQdxWiwUBIRGREz06r52K+q+xD9FXt7e/j7+2P9+vXgVpGqwf/jiYiMSHPLmq9wWvfrkf3ffYhEmjp1KjIzM5GSkiI6ilFgoSQiMiI1zU1h18BCq/cof3gT/n7e+PLLL5GTk6PVexE9j4eHB9q3b4/169eLjmIUWCiJiIyMRxsrmMi185zSRAa42NaGmZkZ5s2bhxYtWqBTp074+OOPceLECahUXFtJVUMmk2HKlCmIiIhAXl6e6DgGj4WSiMjIjHSx0+iRi39WIQGr3huImJgY3Lt3Dz///DPeeOMNfP311+jRowdsbW0xadIkxMTEoLS0VCsZiP4wevRo1KpVC998843oKAaPg82JiIyQNs7yNpHL4NrSEj9MdPmfHysvL0dqaioiIyMRGRmJa9euoVatWvD29kZAQAD8/Pz+46xxIk2ZMWMGwsLCkJ+fj+rVq4uOY7BYKImIjFB+QTE8Q1NQqsHxPuamciTO7APbv1mjKUkSMjMzERUVhcjISBw/fhwmJiZwc3ODv78/AgIC0KpVK43lIuOWnZ0NR0dHbN++HWPHjhUdx2CxUBIRGandJ/KwQJGhseutCnbC0O52r/zrbt26hT179iAyMhL79+9HaWkp2rdvj4CAAPj7+6NHjx6Qy7lCi16fr68v7t27hxMnTkAm0/acA+PEQklEZMQ2JGVjTfylSl9nrlcbTPao/LnJT58+RXx8PKKiorB37148ePAAjRs3xuDBgxEQEID+/fujRo0alb4PGZfo6GgMHDgQR48eRc+ePUXHMUgslERERm73iTx8EpUJpUp6pTWVJnIZTOUyfOrf4bWeTP4dpVKJo0ePqtddXr58GRYWFvDy8kJAQAAGDhyIRo0aafy+ZHhUKhUcHR3h4uKCsLAw0XEMEgslEREhv6AYi8IzcOjyfZjIZS8sln/8eG+HhggJcvrbNZOaIEkSsrKy1Osujx07BplMBldXV/W6S0dHR63nIP0VGhqK+fPnIy8vD02aNBEdx+CwUBIRkVr2nUKEpeUh6dJd5D0oxp+/QMgA2FlawMPRCqN62sHBqraomLhz5w727t2LyMhIJCQkoKSkBG3atFGvu+zZsydMTEyE5SPd8+jRI9jY2GD+/Pn4xz/+ITqOwWGhJCKiv1RUqkTOgyKUKVUwM5WjuWVN1DQ3FR3rfxQXFyMhIQFRUVHYs2cP7t27h0aNGmHQoEEICAjAgAEDYGGh/aeopPsmTZqEqKgo5OTkwMzMTHQcg8JCSUREBqOiogJpaWmIjIxEVFQUsrKyUL16dQwYMAABAQEYNGgQGjduLDomCXLu3Dk4OTlh165dGDZsmOg4BoWFkoiIDNalS5fU6y6PHDkCSZLQs2dP9brLtm3bcoyMkenXrx/Kyspw+PBh0VEMCgslEREZhXv37mHfvn2IiopCXFwciouL4eDgoF536erqClNT3XulT5qlUCgwZMgQnDp1Cl26dBEdx2CwUBIRkdF59uwZDhw4gMjISOzZswe3b9+GpaUlBg0aBH9/f3h5eaFWrVqiY5IWKJVKtGzZEgMGDMB3330nOo7BYKEkIiKjplKpcOLECfW6y8zMTJibm6N///4ICAjA4MGDYW1tLTomadCKFSvw6aef4vr16zxDXkNYKImIiP7kypUr6nWXhw4dgkqlQo8ePdTrLjt06MB1l3ru/v37aNasGZYtW4b58+eLjmMQWCiJiIie48GDB4iOjkZUVBRiY2Px9OlTtGjRQr3usnfv3lx3qafGjx+PAwcO4OrVq5xZqgEslERERC+hpKQESUlJiIqKQlRUFG7evIn69evDz88PAQEB8Pb2Rp06dUTHpJeUnp6Obt26ITw8HIGBgaLj6D0WSiIiolekUqlw6tQp9brLs2fPwszMDB4eHup1l82aNRMdk/6Gq6srLCwskJiYKDqK3mOhJCIiqqRr165hz549iIyMREpKCioqKuDs7Kxed9mpUyeuu9RBP/74I0aOHInMzEy0b99edBy9xkJJRESkQQ8fPkRMTAyioqIQExODJ0+ewN7eHv7+/vD390efPn1QrVo10TEJQFlZGezt7REUFISNGzeKjqPXWCiJiIi0pKysDCkpKepX4/n5+ahbty58fX0REBAAX19f1K1bV3RMo7Z06VKsWbMGN27c4J9FJbBQEhERVQFJkvD777+ry+Xp06dhamqKvn37qtdd2tvbi45pdG7evAl7e3usWbMG06dPFx1Hb7FQEhERCZCXl6ded5mcnIzy8nJ07txZve6yS5cuXHdZRYYPH4709HRkZWVBLpeLjqOXWCiJiIgEe/z4MWJjYxEVFYV9+/bh8ePHaNasmXrdZd++fWFubi46psFKTU2Fm5sbYmJi4OPjIzqOXmKhJCIi0iHl5eU4dOgQIiMjERkZidzcXNSuXRs+Pj4ICAiAn58f6tevLzqmQZEkCc7OzrC2tsa+fftEx9FLLJREREQ6SpIkZGRkqNddnjx5EiYmJnB3d1ef1tOiRQvRMQ3Ctm3bMHHiRFy6dAkODg6i4+gdFkoiIiI9cePGDfW6ywMHDqCsrAxOTk7qdZfOzs5cA/ianj17BltbW4wZMwZr164VHUfvsFASERHpocLCQsTFxSEqKgp79+7Fw4cP0bRpUwwePBj+/v7o168fqlevLjqmXlmwYAG++eYb3LhxAzVr1hQdR6+wUBIREek5pVKJw4cPIyoqCpGRkbh69Spq1qwJb29vBAQEYODAgbC0tBQdU+fl5uaiZcuW2LhxIz744APRcfQKCyUREZEBkSQJ58+fV6+7TEtLg1wuh5ubm3rdJdcIPl9QUBCys7ORkZHBsU2vgIWSiIjIgN26dQt79+5FZGQkEhMTUVpainbt2iEgIAABAQHo0aMH113+yYEDB9C/f38kJSWhb9++ouPoDRZKIiIiI1FUVIT4+Hj1usv79++jcePG6nWXnp6eqFGjhuiYQkmShI4dO6Jt27b47bffRMfRGyyURERERqiiogJHjx5Vz7vMzs5GjRo14OXlpV53aWVlJTqmEJs2bcKUKVNw7do12Nn9v/buLiSu9I7j+G9e1KAxkWhMiMmYFKMNiQiC1UjezKtWM5JSWGF3yUVpCaQXWUhx6UW2uxfCQiE3vehNaWiR5MoyI1HTGETMC5sJQrJKwtqUqYOQxCrW6iTqOKcXTQ5uqVmTZ8Yzzn4/tw7P+Xv35ZznPMfn9DhrAkEJAAD05MkTe9/lvXv3JEm1tbX2vsuysjKHJ1w9MzMzKioq0vnz59XW1ub0OGsCQQkAAL7l+fPnun79ugKBgG7evKmXL1+qrKzMPu+ypqZGHo/H6TGT6sKFC2pvb1ckEuH4pRUgKAEAwLKi0ah6e3sVDAbV2dmpFy9eaPPmzWpqapLf79eJEyfS8szGkZERlZaW6sqVKzp79qzT46Q8ghIAAKzI4uKi7t+/bz8af/z4sdatW6fjx4+rublZTU1N2rp1q9NjJkxDQ4PGx8cVCoU4Qug7EJQAAOC9jIyM2HF5584dWZal6upq+9H4nj171nSIdXV1qbGxUXfv3tX+/fudHielEZQAAMDY+Pi4urq6FAgEdOPGDUWjUZWUlNhxWVtbK6/X6/SY7yQej6u0tFTV1dVqb293epyURlACAICEevXqlW7duqVgMKhgMKhnz54pPz9fjY2N8vv9OnXqlNavX+/0mCty+fJltba2anR0NK0e5ycaQQkAAJImHo/rwYMH9nmXw8PDyszM1LFjx9Tc3KzTp09r27ZtTo+5rKmpKRUVFam1tVWXLl1yepyURVACAIBV8/TpU/vO5cDAgBYXF1VVVWU/Gt+3b1/K7bs8d+6cgsGgwuGwMjMznR4nJRGUAADAEZOTk/a+y56eHs3MzGjXrl12XB44cEAZGRlOj6mhoSGVl5fr6tWramlpcXqclERQAgAAx83Nzamvr8++ezk2Nqa8vDx732V9fb02bNjg2HxHjx7V/Py8bt++LUmanYspPDGr+VhcmV63dubnKCdrbb10lEgEJQAASCmWZWlwcNDed/no0SNlZGSorq7O/hTk9u3bV3Wmjo4Otfzign7+5Z80NGlpdDKqpQHlkuTblK26skJ9WO3T7i25qzqf0whKAACQ0sLhsH3nsr+/X7FYTJWVlXZcVlRUJHXfZWQyqk87HunO0wm5rLgsl3vZ33rcLi3GLR0sKVDbmXLt2JSdtLlSCUEJAADWjKmpKXV3dysQCKi7u1vT09Py+Xz2vstDhw4l9MWZa6FRfRYcVixuaTG+8mTyuF3yul363L9XLVW+hM2TqghKAACwJs3Pz6u/v1/BYFCBQECRSEQbN25UQ0OD/H6/GhoalJeX997r/65vRL/96zfGc148Wapf1u02XieVEZQAAGDNsyxLDx8+tD8FOTg4KK/Xq8OHD9uPxouLi1e83rXQqD7t+Dph8335k3J9kMZ3KglKAACQdiKRiDo7OxUIBNTX16eFhQVVVFTYj8YrKyuX3XcZmYzq+OV+zcXiCZsny+tW7yeH03ZPJUEJAADS2vT0tHp6ehQIBNTV1WV//eZNXB45ckRZWVn27z/+w1e6+/eJd9oz+V08bpdqf5CvP/+sOmFrphKCEgAAfG8sLCxoYGDA3ncZDoeVm5ur+vp6+f1+/fBHR/TTPz5M2vV7PzmkksL0O1KIoAQAAN9LlmVpaGjI3ncZCoW06cQ55Vb+WHrL0UDvy+N26ePqYv3GvzfhazuNoAQAAJA0Njamxt+HNBVL3ucei/Oz1X+xLmnrOyXx+Q0AALAGbSzYon8lMSYlaXQiqtm5WFKv4QSCEgAAQNI/JmaV7Me2lqTwxGySr7L6CEoAAABJ8wk8JigVrrOaCEoAAABJmd7VyaLVus5qSr//CAAA4D3szM/R/z/qPHFcr6+TbghKAAAASTlZXvmS/CUbX362crK8Sb2GEwhKAACA1+rKCuVxJ+c+pcftUl1pYVLWdhpBCQAA8NqH1b6EfnJxqcW4pY9qfElZ22kEJQAAwGu7t+TqYElBwu9SetwuHSwpSMvPLkoEJQAAwLe0nSmXN8FB6XW71HamPKFrphKCEgAAYIkdm7L1eYK/t/2Ff692JPmFHycRlAAAAP+jpcqniydLE7LWr06W6YOq9Nw7+YbLsqxkf2UIAABgTboWGtVnwWHF4tY7vazjcbvkdbv0hX9v2sekRFACAAC8VWQyql//5WsN/O2f8rhdbw3LN38/WFKgtjPlaf2YeymCEgAAYAVGnv9b7V+Nqu+bFxqdiGppQLn030PL60oL9VGNL23f5l4OQQkAAPCOZudiCk/Maj4WV6bXrZ35OWn5BZyVIigBAABghLe8AQAAYISgBAAAgBGCEgAAAEYISgAAABghKAEAAGCEoAQAAIARghIAAABGCEoAAAAYISgBAABghKAEAACAEYISAAAARghKAAAAGCEoAQAAYISgBAAAgBGCEgAAAEYISgAAABghKAEAAGCEoAQAAIARghIAAABGCEoAAAAYISgBAABghKAEAACAEYISAAAARghKAAAAGCEoAQAAYISgBAAAgBGCEgAAAEYISgAAABghKAEAAGCEoAQAAIARghIAAABGCEoAAAAYISgBAABghKAEAACAEYISAAAARghKAAAAGCEoAQAAYOQ/llLi+UdIAPUAAAAASUVORK5CYII=", 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" ] @@ -141,7 +135,7 @@ "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -163,7 +157,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -189,10 +183,11 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ + "uid = 1000\n", "evolution_time=1000\n", "numsteps=1000\n", "required_precision = 1e-16\n", @@ -225,7 +220,51 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "square_lattice_metadata = EstimateMetaData(\n", + " id=uid,\n", + " name='square_lattice',\n", + " category='scientific',\n", + " size=f'lattice_size: {square_lattice_size}',\n", + " task='Time Dependent Dynamics',\n", + " implementations=f'QSP, JT={evolution_time}, numsteps={numsteps}, required_precision={required_precision}',\n", + " value_per_circuit=0.01,\n", + " repetitions_per_application=100\n", + ")\n", + "uid += 1\n", + "\n", + "triangle_lattice_metadata = EstimateMetaData(\n", + " id=uid,\n", + " name='triangle_lattice',\n", + " category='scientific',\n", + " size=f'lattice_size: {triangle_lattice_size}',\n", + " task='Time Dependent Dynamics',\n", + " implementations=f'QSP, JT={evolution_time}, numsteps={numsteps}, required_precision={required_precision}',\n", + " value_per_circuit=0.01,\n", + " repetitions_per_application=100\n", + ")\n", + "\n", + "uid += 1\n", + "\n", + "cubic_lattice_metadata = EstimateMetaData(\n", + " id=uid,\n", + " name='cube_lattice',\n", + " category='scientific',\n", + " size=f'lattice_size: {cubic_lattice_size}',\n", + " task='Time Dependent Dynamics',\n", + " implementations=f'QSP, JT={evolution_time}, numsteps={numsteps}, required_precision={required_precision}',\n", + " value_per_circuit=0.01,\n", + " repetitions_per_application=100\n", + ")\n", + "uid += 1" + ] + }, + { + "cell_type": "code", + "execution_count": 6, "metadata": {}, "outputs": [ { @@ -233,26 +272,26 @@ "output_type": "stream", "text": [ "Estimating Square\n", - "Time to generate high level QSP circuit: 0.08063908305484802 seconds\n", - " Time to decompose high level " ] @@ -414,7 +456,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -443,7 +485,7 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -451,26 +493,26 @@ "output_type": "stream", "text": [ "Estimating Kitaev\n", - "Time to generate high level QSP circuit: 10.425678333034739 seconds\n", - " Time to decompose high level " ] @@ -552,7 +606,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -560,26 +614,26 @@ "output_type": "stream", "text": [ "Estimating Directional Triangle\n", - "Time to generate high level QSP circuit: 4.22547137492802 seconds\n", - " Time to decompose high level " ] @@ -789,12 +920,12 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 19, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -814,12 +945,12 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { - "image/png": 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cM/mLErh8fHx033336ZVXXlF8fLwOHz6sJk2a6M0339SBAwcKvX9J+stf/pKrhlGjRuVZg91uz7Ufu93ueCxuRF7n/5w4cSLP8aCgIMf2ksrpv127drn6X7FiRa7efX19i7RapHr16vL19VVycnKJaytMYT+HnN7uv//+XL29/PLLMsYUuDS8Xr16TreZOnVqoTUFBAQ4Xa9QoUKB4zknxxbneXjixIl8ey/Mzp071aNHD0m/nef2xRdfKDExUZMmTZL0v9d1jutf/9Jv7wHXzytt3bp1U1ZWlj7//HPFxsaqevXqat26tbp166ZNmzZJkjZv3qxu3boVuJ8beayuV9h7YUkZY/T444/rvffe05IlS9SvX78i3e6RRx6RJKfzdoYPH64BAwaobdu2On36tE6fPu14jmVkZOQ6V+j3htVMtxBPT0+99NJLeu2117R///4b3l/OCzznzfhaaWlphd6+evXqatGihaZPn57n9pxf2MVRp04d/fnPf9a4ceN04MCBXEscr79/SZo4caIGDBiQ55yGDRs6Xc+rr7S0NNWvX7/YtV4vr5MOq1WrpmPHjuUaz1lumdNDSeTc9v/9v/+nkJCQEtWXl/Lly6tr16769NNP9eOPP6p27dqF3sbLy0tZWVm5xvMLa4X9HHJ6e+ONN/JdBVJQ4P7kk0+c6inJc7GoivM8rFatWr69F2b58uXy9PTUmjVr5O3t7RhftWpVCaouO+3bt1elSpW0adMmHTlyRF27dpXNZlPXrl316quvKjExUUePHi00zNzIY3Uz5ASZxYsXa9GiRY6AUhzXLuY4cOCADhw4oA8//DDXvHr16qlly5Yu+1tb7oAwY1HHjh3L81/033zzjaTSeXNu2LCh7Ha7/v3vf+vZZ591jB89elQJCQmF3sc999yjdevWqV69eqpatWqx7jszM1M2m02VKlXKte36HvP7V1TDhg0VHh6ur7/+WjExMUW63/fff9/po5aEhASlpKTo8ccfL1b9RdW1a1fNmDFDe/bs0e233+4Yf/fdd2Wz2Rx/u6Ogfynmt61nz57y8PDQf//731L/+GjixIlat26dnnjiCX388ceOoxE5Ll++rPXr16tv376SfluJsnfvXqc5W7Zs0dmzZ/Pcf2E/h86dO6tKlSo6ePBgkT5yvF7z5s2LfZuSKs7zMCoqSqtXr9bx48cdYezq1atasWJFofdjs9nk4eHh9HHJhQsX9K9//evGGihlnp6euuuuuxQbG6vU1FTNnDlTkvSHP/xBHh4eevHFFx3hpiBRUVGaNWuWvv76a6ePmpYtW5Zr7s044nQtY4yeeOIJLV68WG+99ZYeffTRYt1+6dKlkpz/7ENeH3UvWbJES5cu1apVq5w+Av09IsxYVM+ePVW7dm317dtXjRo1UnZ2tpKSkvTqq6+qUqVKevrpp2/4PsqVK6cpU6ZoxIgRuv/++zV8+HCdPn1aU6ZMUc2aNXMtAb/e1KlTFRsbq06dOmns2LFq2LChLl68qCNHjmjdunVasGBBvv+q/+6779SzZ08NHDhQERERqlmzpk6dOqW1a9dq4cKFioyMVKdOnST99q8SHx8fvf/++2rcuLEqVaqkoKAgBQUF6a233tLdd9+tnj17atiwYapVq5ZOnjypb775Rnv27Mn1r5xdu3bp8ccf1wMPPKDU1FRNmjRJtWrVcnwcUNqeeeYZvfvuu+rTp4+mTp2qkJAQrV27VvPmzdPIkSPVoEEDSZKfn59CQkL08ccfq2vXrgoICFD16tUVGhrq+MX8+uuva+jQofL09FTDhg0VGhqqqVOnatKkSfrhhx/Uq1cvVa1aVcePH9fOnTtVsWJFp7/hUxwdO3bU/PnzNWrUKLVp00YjR45U06ZNdfnyZX311VdauHChmjVr5ggzQ4YM0V//+ldNnjxZEREROnjwoObOnSt/f/8891/Yz6FSpUp64403NHToUJ08eVL333+/atSooV9++UVff/21fvnlF82fP79EvZWFoj4PX3zxRa1evVpdunTR5MmT5evrqzfffLPA839y9OnTR7Nnz9agQYP05z//WSdOnNDf//73PJfOu1rXrl0df6k85wiMj4+POnXqpI0bN6pFixZ5Lm++1rhx4/TOO+84/tZKYGCg3n//fX377be55jZv3lwrV67U/Pnz1aZNG5UrV05t27YtVs0pKSmqV6+ehg4dWuh5M2PHjtWiRYs0fPhwNW/e3OnjIi8vL8ffzNm2bZumT5+u/v37q27durp48aI+/fRTLVy4UF26dHG8fqTcfyxTkuO8t86dO9/QUdxbgivPPkbJrVixwgwaNMiEh4ebSpUqGU9PT1OnTh0zZMgQc/DgQae5+a1meuWVV3LtV3msOlm4cKGpX7++qVChgmnQoIF55513TL9+/Uzr1q0Lve0vv/xixo4da8LCwoynp6cJCAgwbdq0MZMmTTJnz57Nt79Tp06ZadOmmS5duphatWqZChUqmIoVK5pWrVqZadOm5Vq2+MEHH5hGjRoZT0/PXHV8/fXX5sEHHzQ1atQwnp6exm63my5dupgFCxY45uSsotm4caMZMmSIqVKlivHx8TG9e/c2hw4dyrfOvOS3mqlp06Z5zk9JSTGDBg0y1apVM56enqZhw4bmlVdeybWSYdOmTaZ169bGy8sr1xLRiRMnmqCgIFOuXLlcKzlWrVploqKiTOXKlY2Xl5cJCQkx999/v9Py5bxqLoqkpCQzdOhQU6dOHcfPqHXr1mby5MkmPT3dMS8rK8s8//zzJjg42Pj4+JiIiAiTlJSU72qmov4c4uPjTZ8+fUxAQIDx9PQ0tWrVMn369CnW6pqiCAkJMX369Mk1Lsk89dRTTmP5vb6K8jw05reVWx06dDBeXl7Gbreb8ePHm4ULFxZpNdM777xjGjZsaLy8vEzdunXNjBkzzKJFi3LdNr9+Clshdb2SrGYy5rfHQpIJDw93Gp8+fbqRZJ599tlct7n+uWKMMQcPHjTdu3c33t7eJiAgwDz22GPm448/zvUaOHnypLn//vtNlSpVjM1mMzm/+orzXlicpdkhISGOVZjXX65dVXXo0CHTu3dvU6tWLePl5WW8vb1N8+bNzfTp083FixcLvR9WM/2PzZjr/poSUIjTp0+rQYMGuu+++7Rw4UJXl1MqlixZokcffVSJiYnF/hcbAMC1+JgJBUpLS9P06dMVFRWlatWqKSUlRa+99poyMzNL5aMsAABuFGEGBfLy8tKRI0c0atQonTx5Ur6+vurQoYMWLFhQ4EoiAABuFj5mAgAAlsYfzQMAAJZGmAEAAJZGmAEAAJZ2y58AnJ2drZ9//ll+fn5F/nPtAADAtYwxyszMVFBQUKF/pPWWDzM///xzrm8pBQAA1pCamlrod8Dd8mHGz89P0m8PRlG+ERgAALheRkaGgoODHb/HC3LLh5mcj5YqV65MmAEAwGKKcooIJwADAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLc2mYiY6Ols1mc7rY7XbHdmOMoqOjFRQUJB8fH0VGRurAgQMurBgAALgblx+Zadq0qY4dO+a47Nu3z7Ft1qxZmj17tubOnavExETZ7XZ1795dmZmZLqwYAAC4E5eHGQ8PD9ntdsfltttuk/TbUZk5c+Zo0qRJGjBggJo1a6alS5fq/PnzWrZsmYurBgAA7sLlYebQoUMKCgpSWFiYBg4cqB9++EGSlJycrLS0NPXo0cMx18vLSxEREUpISHBVuQAAwM14uPLO27dvr3fffVcNGjTQ8ePHNW3aNHXq1EkHDhxQWlqaJCkwMNDpNoGBgUpJScl3n1lZWcrKynJcz8jIKJviAQCAW3BpmLn77rsd/9+8eXN17NhR9erV09KlS9WhQwdJks1mc7qNMSbX2LVmzJihKVOmlE3BAADA7bj8Y6ZrVaxYUc2bN9ehQ4ccq5pyjtDkSE9Pz3W05loTJ07UmTNnHJfU1NQyrRkAALiWW4WZrKwsffPNN6pZs6bCwsJkt9sVGxvr2H7p0iXFx8erU6dO+e7Dy8tLlStXdroAAIBbl0s/ZvrLX/6ivn37qk6dOkpPT9e0adOUkZGhoUOHymazady4cYqJiVF4eLjCw8MVExMjX19fDRo0yJVlAwAAN+LSMPPjjz/q4Ycf1q+//qrbbrtNHTp00I4dOxQSEiJJev7553XhwgWNGjVKp06dUvv27bVx40b5+fm5smwAAOBGbMYY4+oiylJGRob8/f115swZPnICAMAiivP7263OmQEAACguwgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgzKVOiEta4uAQBwiyPMAAAASyPMAAAASyPMAAAASyPMAAAASyPMAAAASyPMAAAASyPMAAAASyPMAAAASyPMAAAASyPMAAAASyPMAAAASyPMAAAASyPMAAAASyPMoFj4FmwAgLshzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzKDISmNZNku7AQCljTADAAAszW3CzIwZM2Sz2TRu3DjHmDFG0dHRCgoKko+PjyIjI3XgwAHXFQkAANyOW4SZxMRELVy4UC1atHAanzVrlmbPnq25c+cqMTFRdrtd3bt3V2ZmposqBQAA7sblYebs2bMaPHiw3n77bVWtWtUxbozRnDlzNGnSJA0YMEDNmjXT0qVLdf78eS1btsyFFQMAAHfi8jDz1FNPqU+fPurWrZvTeHJystLS0tSjRw/HmJeXlyIiIpSQkHCzywQAAG7Kw5V3vnz5cu3Zs0eJiYm5tqWlpUmSAgMDncYDAwOVkpKS7z6zsrKUlZXluJ6RkVFK1QIAAHfksiMzqampevrpp/Xee+/J29s733k2m83pujEm19i1ZsyYIX9/f8clODi41GoGAADux2VhZvfu3UpPT1ebNm3k4eEhDw8PxcfH6x//+Ic8PDwcR2RyjtDkSE9Pz3W05loTJ07UmTNnHJfU1NQy7QMAALiWyz5m6tq1q/bt2+c09uijj6pRo0Z64YUXVLduXdntdsXGxqp169aSpEuXLik+Pl4vv/xyvvv18vKSl5dXmdYOAADch8vCjJ+fn5o1a+Y0VrFiRVWrVs0xPm7cOMXExCg8PFzh4eGKiYmRr6+vBg0a5IqSAQCAG3LpCcCFef7553XhwgWNGjVKp06dUvv27bVx40b5+fm5ujQAAOAm3CrMbN261em6zWZTdHS0oqOjXVIPAABwfy7/OzMAAAA3gjADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTCDEgmdsPam3AYAgMIQZgAAgKURZgAAgKURZgAAgKURZgAAgKURZgAAgKURZgAAgKURZlDq8lqCzbJsAEBZIcwAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8zcIJYcAwDgWoQZAABgaYQZAABgaYQZAABgaYQZAABgaYQZAABgaYQZAABgaYQZlDmWrwMAyhJhBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgViWTUAwN0RZgAAgKURZgAAgKURZgAAgKURZgAAgKURZgAAgKURZgAAgKURZlCoki7PZlk3AOBmIMwAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8zAJVi2DQAoLYQZAABgaYQZAABgaYQZAABgaYQZAABgaYQZAABgaYQZAABgaYQZlAmWXgMAbhbCDAAAsDSXhpn58+erRYsWqly5sipXrqyOHTvq008/dWw3xig6OlpBQUHy8fFRZGSkDhw44MKKAQCAu3FpmKldu7ZmzpypXbt2adeuXerSpYv69evnCCyzZs3S7NmzNXfuXCUmJsput6t79+7KzMx0ZdkAAMCNuDTM9O3bV71791aDBg3UoEEDTZ8+XZUqVdKOHTtkjNGcOXM0adIkDRgwQM2aNdPSpUt1/vx5LVu2zJVlAwAAN+I258xcvXpVy5cv17lz59SxY0clJycrLS1NPXr0cMzx8vJSRESEEhISXFgpAABwJx6uLmDfvn3q2LGjLl68qEqVKumjjz5SkyZNHIElMDDQaX5gYKBSUlLy3V9WVpaysrIc1zMyMsqmcAAA4BZcfmSmYcOGSkpK0o4dOzRy5EgNHTpUBw8edGy32WxO840xucauNWPGDPn7+zsuwcHBZVb77wlLrQEA7srlYaZChQqqX7++2rZtqxkzZqhly5Z6/fXXZbfbJUlpaWlO89PT03MdrbnWxIkTdebMGcclNTW1TOsHAACu5fIwcz1jjLKyshQWFia73a7Y2FjHtkuXLik+Pl6dOnXK9/ZeXl6Opd45FwAAcOty6Tkz//d//6e7775bwcHByszM1PLly7V161atX79eNptN48aNU0xMjMLDwxUeHq6YmBj5+vpq0KBBriwbAAC4kRKFmbp16yoxMVHVqlVzGj99+rRuv/12/fDDD0Xaz/HjxzVkyBAdO3ZM/v7+atGihdavX6/u3btLkp5//nlduHBBo0aN0qlTp9S+fXtt3LhRfn5+JSkbAADcgkoUZo4cOaKrV6/mGs/KytJPP/1U5P0sWrSowO02m03R0dGKjo4ubokAAOB3olhhZvXq1Y7/37Bhg/z9/R3Xr169qs2bNys0NLTUigMAAChMscLMfffdJ+m3IyZDhw512ubp6anQ0FC9+uqrpVYc3FvohLU6MrOPq8sAAPzOFSvMZGdnS5LCwsKUmJio6tWrl0lRAAAARVWic2aSk5NLuw4AAIASKfHS7M2bN2vz5s1KT093HLHJ8c4779xwYQAAAEVRojAzZcoUTZ06VW3btlXNmjUL/HoBAACAslSiMLNgwQItWbJEQ4YMKe16AAAAiqVEX2dw6dKlAr9SANZWki+VLOkXUfIFlgCAG1WiMPP4449r2bJlpV0LAABAsZXoY6aLFy9q4cKF2rRpk1q0aCFPT0+n7bNnzy6V4gAAAApTojCzd+9etWrVSpK0f/9+p22cDAwAAG6mEoWZuLi40q4DAACgREp0zgwAAIC7KNGRmaioqAI/TtqyZUuJCwIAACiOEoWZnPNlcly+fFlJSUnav39/ri+ghHXdzCXaAACUVInCzGuvvZbneHR0tM6ePXtDBQEAABRHqZ4z88gjj/C9TAAA4KYq1TCzfft2eXt7l+YuAQAAClSij5kGDBjgdN0Yo2PHjmnXrl3661//WiqFAQAAFEWJwoy/v7/T9XLlyqlhw4aaOnWqevToUSqFAQAAFEWJwszixYtLuw4AAIASKVGYybF792598803stlsatKkiVq3bl1adcHFClpiff22nOssywYAuEKJwkx6eroGDhyorVu3qkqVKjLG6MyZM4qKitLy5ct12223lXadAAAAeSrRaqYxY8YoIyNDBw4c0MmTJ3Xq1Cnt379fGRkZGjt2bGnXCAAAkK8SHZlZv369Nm3apMaNGzvGmjRpojfffJMTgAEAwE1VoiMz2dnZ8vT0zDXu6emp7OzsGy4KAACgqEoUZrp06aKnn35aP//8s2Psp59+0jPPPKOuXbuWWnEAAACFKVGYmTt3rjIzMxUaGqp69eqpfv36CgsLU2Zmpt54443SrhEAACBfJTpnJjg4WHv27FFsbKy+/fZbGWPUpEkTdevWrbTrAwAAKFCxjsxs2bJFTZo0UUZGhiSpe/fuGjNmjMaOHat27dqpadOm2rZtW5kUCgAAkJdihZk5c+boiSeeUOXKlXNt8/f314gRIzR79uxSKw4AAKAwxQozX3/9tXr16pXv9h49emj37t03XBQAAEBRFSvMHD9+PM8l2Tk8PDz0yy+/3HBRAAAARVWsMFOrVi3t27cv3+179+5VzZo1b7goAACAoipWmOndu7cmT56sixcv5tp24cIFvfTSS7rnnntKrTgAAIDCFGtp9osvvqiVK1eqQYMGGj16tBo2bCibzaZvvvlGb775pq5evapJkyaVVa1wQ3xTNgDA1YoVZgIDA5WQkKCRI0dq4sSJMsZIkmw2m3r27Kl58+YpMDCwTAoFAADIS7H/aF5ISIjWrVunU6dO6fDhwzLGKDw8XFWrVi2L+gAAAApUor8ALElVq1ZVu3btSrMWAACAYivRdzMBAAC4C8IMAACwNMIMAACwNMIMnNyMpdYs5wYAlCbCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDFyOpdoAgBtBmAEAAJZGmAEAAJZGmAEAAJZGmAEAAJZGmAEAAJZGmAEAAJZGmAEAAJZGmAEAAJbm0jAzY8YMtWvXTn5+fqpRo4buu+8+fffdd05zjDGKjo5WUFCQfHx8FBkZqQMHDrioYgAA4G5cGmbi4+P11FNPaceOHYqNjdWVK1fUo0cPnTt3zjFn1qxZmj17tubOnavExETZ7XZ1795dmZmZLqwcAAC4Cw9X3vn69eudri9evFg1atTQ7t27ddddd8kYozlz5mjSpEkaMGCAJGnp0qUKDAzUsmXLNGLECFeUDQAA3IhbnTNz5swZSVJAQIAkKTk5WWlpaerRo4djjpeXlyIiIpSQkOCSGgEAgHtx6ZGZaxlj9Oyzz+rOO+9Us2bNJElpaWmSpMDAQKe5gYGBSklJyXM/WVlZysrKclzPyMgoo4oBAIA7cJsjM6NHj9bevXv1wQcf5Npms9mcrhtjco3lmDFjhvz9/R2X4ODgMqkXAAC4B7cIM2PGjNHq1asVFxen2rVrO8btdruk/x2hyZGenp7raE2OiRMn6syZM45Lampq2RUOAABczqVhxhij0aNHa+XKldqyZYvCwsKctoeFhclutys2NtYxdunSJcXHx6tTp0557tPLy0uVK1d2ugAAgFuXS8+Zeeqpp7Rs2TJ9/PHH8vPzcxyB8ff3l4+Pj2w2m8aNG6eYmBiFh4crPDxcMTEx8vX11aBBg1xZOgAAcBMuDTPz58+XJEVGRjqNL168WMOGDZMkPf/887pw4YJGjRqlU6dOqX379tq4caP8/PxucrUAAMAduTTMGGMKnWOz2RQdHa3o6OiyLwgAAFiOW5wADAAAUFKEGQAAYGmEGQAAYGmEGQAAYGmEGQAAYGmEGQAAYGmEGQAAYGmEGbiF0AlrXV0CAMCiCDMAAMDSCDMAAMDSCDMAAMDSCDMAAMDSCDMAAMDSCDMAAMDSCDNwuNnLo6+/P5ZnAwBKgjADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADAAAsjTADt3XtUm2WbQMA8kOYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYAQAAlkaYgdspbBk2y7QBANcizAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzAAAAEsjzMDtsRQbAFAQwgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgwAALA0wgzcyvXLsAu7DgAAYQYAAFgaYQYAAFgaYQYAAFgaYQYAAFgaYQYAAFgaYQYAAFgaYQaSrLHk2Qo1AgBuPsIMAACwNMIMAACwNMIMAACwNMIMAACwNMIMAACwNMIMAACwNMJMKWDJMAAArkOYAQAAlubSMPPZZ5+pb9++CgoKks1m06pVq5y2G2MUHR2toKAg+fj4KDIyUgcOHHBNsQAAwC25NMycO3dOLVu21Ny5c/PcPmvWLM2ePVtz585VYmKi7Ha7unfvrszMzJtcKQAAcFcerrzzu+++W3fffXee24wxmjNnjiZNmqQBAwZIkpYuXarAwEAtW7ZMI0aMuJmlAgAAN+W258wkJycrLS1NPXr0cIx5eXkpIiJCCQkJLqwMAAC4E5cemSlIWlqaJCkwMNBpPDAwUCkpKfneLisrS1lZWY7rGRkZZVMgAABwC257ZCaHzWZzum6MyTV2rRkzZsjf399xCQ4OLusSUQZY7g4AKCq3DTN2u13S/47Q5EhPT891tOZaEydO1JkzZxyX1NTUMq0TAAC4ltuGmbCwMNntdsXGxjrGLl26pPj4eHXq1Cnf23l5ealy5cpOFwAAcOty6TkzZ8+e1eHDhx3Xk5OTlZSUpICAANWpU0fjxo1TTEyMwsPDFR4erpiYGPn6+mrQoEEurBoAALgTl4aZXbt2KSoqynH92WeflSQNHTpUS5Ys0fPPP68LFy5o1KhROnXqlNq3b6+NGzfKz8/PVSUDAAA349IwExkZKWNMvtttNpuio6MVHR1984oCAACW4rbnzAAAABQFYeZ36lZa+nwr9QIAKD7CDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDCz5RY05NedVuxX7AQCUHGEGAABYGmEGAABYGmEGAABYGmEGAABYGmEGAABYGmEGAABYGmHmdyx0wlpLL2O+tnYr9wEAuDGEGQAAYGmEGQAAYGmEGQAAYGmEGQAAYGmEGQAAYGmEGQAAYGmEmVtUfkuVf09LmH9PvQLA7xlhBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBgAAWBphBvj/Xb+U29VLu119/wBgFYQZAABgaYQZAABgaYQZAABgaYQZAABgaYQZAABgaYQZAABgaYSZ34lrl/neqkt+QyesdfR2q/Z4I9zlMXGXOsrKrd4frOlWf14SZgAAgKURZgAAgKURZgAAgKURZgAAgKURZgAAgKURZgAAgKURZkqZuy1/+z0syS5IXsu1r/1vUR4Td3wMb7SO4t6+tB4Dd3j8yqqGm91bad5fYftyh58bUBDCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCDAAAsDTCTBko6Nubr18WfP3y4Pzm57fv6/eR1xJKllXmdv1jnt/PoCjLuIu6vLuoy5tvZBn0jdR4/Xx3X/pb1G9I/708/4vzHMtr++/lcbpWaT/Pi3J/KBuEGQAAYGmWCDPz5s1TWFiYvL291aZNG23bts3VJQEAADfh9mFmxYoVGjdunCZNmqSvvvpKf/jDH3T33Xfr6NGjri4NAAC4AbcPM7Nnz9Zjjz2mxx9/XI0bN9acOXMUHBys+fPnu7o0AADgBtw6zFy6dEm7d+9Wjx49nMZ79OihhIQEF1UFAADciYerCyjIr7/+qqtXryowMNBpPDAwUGlpaXneJisrS1lZWY7rZ86ckSRlZGSUSY3ZWeed9p9zPWcsO+u8033nXL923vW3z2t+XveX1z6u3X9ec36vivqYFGXe9c+l639GecnreZLfba6//7zm5Xf7gsaLev+FzS9Kv/nVlV9PN7rPwnop6DVVWopaT2nf37XXpeL9jK9/3yrsOXmrKazvsrg/Vz2OVvwZ5tRrjCl8snFjP/30k5FkEhISnManTZtmGjZsmOdtXnrpJSOJCxcuXLhw4XILXFJTUwvNC259ZKZ69eoqX758rqMw6enpuY7W5Jg4caKeffZZx/Xs7GydPHlS1apVk81mK9X6MjIyFBwcrNTUVFWuXLlU9+1qt3JvEv1ZHf1ZG/1Z283qzxijzMxMBQUFFTrXrcNMhQoV1KZNG8XGxqp///6O8djYWPXr1y/P23h5ecnLy8tprEqVKmVZpipXrnxLPmGlW7s3if6sjv6sjf6s7Wb05+/vX6R5bh1mJOnZZ5/VkCFD1LZtW3Xs2FELFy7U0aNH9eSTT7q6NAAA4AbcPsw89NBDOnHihKZOnapjx46pWbNmWrdunUJCQlxdGgAAcANuH2YkadSoURo1apSry8jFy8tLL730Uq6PtW4Ft3JvEv1ZHf1ZG/1Zmzv2ZzOmKGueAAAA3JNb/9E8AACAwhBmAACApRFmAACApRFmAACApRFmSmjevHkKCwuTt7e32rRpo23btrm6pELNmDFD7dq1k5+fn2rUqKH77rtP3333ndMcY4yio6MVFBQkHx8fRUZG6sCBA05zsrKyNGbMGFWvXl0VK1bUvffeqx9//PFmtlIkM2bMkM1m07hx4xxjVu/vp59+0iOPPKJq1arJ19dXrVq10u7dux3brdzflStX9OKLLyosLEw+Pj6qW7eupk6dquzsbMccK/X32WefqW/fvgoKCpLNZtOqVauctpdWL6dOndKQIUPk7+8vf39/DRkyRKdPny7j7gru7/Lly3rhhRfUvHlzVaxYUUFBQfrTn/6kn3/++Zbo73ojRoyQzWbTnDlznMbdtb+i9PbNN9/o3nvvlb+/v/z8/NShQwcdPXrUfXu7oS9P+p1avny58fT0NG+//bY5ePCgefrpp03FihVNSkqKq0srUM+ePc3ixYvN/v37TVJSkunTp4+pU6eOOXv2rGPOzJkzjZ+fn/nPf/5j9u3bZx566CFTs2ZNk5GR4Zjz5JNPmlq1apnY2FizZ88eExUVZVq2bGmuXLniirbytHPnThMaGmpatGhhnn76ace4lfs7efKkCQkJMcOGDTNffvmlSU5ONps2bTKHDx92zLFyf9OmTTPVqlUza9asMcnJyebDDz80lSpVMnPmzHHMsVJ/69atM5MmTTL/+c9/jCTz0UcfOW0vrV569eplmjVrZhISEkxCQoJp1qyZueeee1za3+nTp023bt3MihUrzLfffmu2b99u2rdvb9q0aeO0D6v2d62PPvrItGzZ0gQFBZnXXnvNaZu79ldYb4cPHzYBAQFm/PjxZs+ePea///2vWbNmjTl+/Ljb9kaYKYE77rjDPPnkk05jjRo1MhMmTHBRRSWTnp5uJJn4+HhjjDHZ2dnGbrebmTNnOuZcvHjR+Pv7mwULFhhjfnuT8vT0NMuXL3fM+emnn0y5cuXM+vXrb24D+cjMzDTh4eEmNjbWREREOMKM1ft74YUXzJ133pnvdqv316dPHzN8+HCnsQEDBphHHnnEGGPt/q7/hVFavRw8eNBIMjt27HDM2b59u5Fkvv322zLu6n8K+mWfY+fOnUaS4x99t0J/P/74o6lVq5bZv3+/CQkJcQozVukvr94eeughx+suL+7YGx8zFdOlS5e0e/du9ejRw2m8R48eSkhIcFFVJXPmzBlJUkBAgCQpOTlZaWlpTr15eXkpIiLC0dvu3bt1+fJlpzlBQUFq1qyZ2/T/1FNPqU+fPurWrZvTuNX7W716tdq2basHHnhANWrUUOvWrfX22287tlu9vzvvvFObN2/W999/L0n6+uuv9fnnn6t3796SrN/ftUqrl+3bt8vf31/t27d3zOnQoYP8/f3dql/pt/cbm83m+K48q/eXnZ2tIUOGaPz48WratGmu7VbtLzs7W2vXrlWDBg3Us2dP1ahRQ+3bt3f6KModeyPMFNOvv/6qq1ev5vrW7sDAwFzf7u3OjDF69tlndeedd6pZs2aS5Ki/oN7S0tJUoUIFVa1aNd85rrR8+XLt2bNHM2bMyLXN6v398MMPmj9/vsLDw7VhwwY9+eSTGjt2rN59911J1u/vhRde0MMPP6xGjRrJ09NTrVu31rhx4/Twww9Lsn5/1yqtXtLS0lSjRo1c+69Ro4Zb9Xvx4kVNmDBBgwYNcnwxodX7e/nll+Xh4aGxY8fmud2q/aWnp+vs2bOaOXOmevXqpY0bN6p///4aMGCA4uPjJblnb5b4OgN3ZLPZnK4bY3KNubPRo0dr7969+vzzz3NtK0lv7tB/amqqnn76aW3cuFHe3t75zrNqf9nZ2Wrbtq1iYmIkSa1bt9aBAwc0f/58/elPf3LMs2p/K1as0Hvvvadly5apadOmSkpK0rhx4xQUFKShQ4c65lm1v7yURi95zXenfi9fvqyBAwcqOztb8+bNK3S+FfrbvXu3Xn/9de3Zs6fYdbh7fzkn3Pfr10/PPPOMJKlVq1ZKSEjQggULFBERke9tXdkbR2aKqXr16ipfvnyuZJmenp7rX1nuasyYMVq9erXi4uJUu3Ztx7jdbpekAnuz2+26dOmSTp06le8cV9m9e7fS09PVpk0beXh4yMPDQ/Hx8frHP/4hDw8PR31W7a9mzZpq0qSJ01jjxo0dKwys/vMbP368JkyYoIEDB6p58+YaMmSInnnmGcdRNqv3d63S6sVut+v48eO59v/LL7+4Rb+XL1/Wgw8+qOTkZMXGxjqOykjW7m/btm1KT09XnTp1HO81KSkpeu655xQaGirJuv1Vr15dHh4ehb7XuFtvhJliqlChgtq0aaPY2Fin8djYWHXq1MlFVRWNMUajR4/WypUrtWXLFoWFhTltDwsLk91ud+rt0qVLio+Pd/TWpk0beXp6Os05duyY9u/f7/L+u3btqn379ikpKclxadu2rQYPHqykpCTVrVvX0v117tw511L677//3vEN8lb/+Z0/f17lyjm/JZUvX97xL0Wr93et0uqlY8eOOnPmjHbu3OmY8+WXX+rMmTMu7zcnyBw6dEibNm1StWrVnLZbub8hQ4Zo7969Tu81QUFBGj9+vDZs2CDJuv1VqFBB7dq1K/C9xi17K/VTin8HcpZmL1q0yBw8eNCMGzfOVKxY0Rw5csTVpRVo5MiRxt/f32zdutUcO3bMcTl//rxjzsyZM42/v79ZuXKl2bdvn3n44YfzXC5au3Zts2nTJrNnzx7TpUsXt1jam5drVzMZY+3+du7caTw8PMz06dPNoUOHzPvvv298fX3Ne++955hj5f6GDh1qatWq5ViavXLlSlO9enXz/PPPO+ZYqb/MzEzz1Vdfma+++spIMrNnzzZfffWVYzVPafXSq1cv06JFC7N9+3azfft207x585uydLmg/i5fvmzuvfdeU7t2bZOUlOT0fpOVlWX5/vJy/WomY9y3v8J6W7lypfH09DQLFy40hw4dMm+88YYpX7682bZtm9v2RpgpoTfffNOEhISYChUqmNtvv92xvNmdScrzsnjxYsec7Oxs89JLLxm73W68vLzMXXfdZfbt2+e0nwsXLpjRo0ebgIAA4+PjY+655x5z9OjRm9xN0VwfZqze3yeffGKaNWtmvLy8TKNGjczChQudtlu5v4yMDPP000+bOnXqGG9vb1O3bl0zadIkp19+VuovLi4uz9fb0KFDS7WXEydOmMGDBxs/Pz/j5+dnBg8ebE6dOuXS/pKTk/N9v4mLi7N8f3nJK8y4a39F6W3RokWmfv36xtvb27Rs2dKsWrXKrXuzGWNM6R/vAQAAuDk4ZwYAAFgaYQYAAFgaYQYAAFgaYQYAAFgaYQYAAFgaYQYAAFgaYQYAAFgaYQaApW3dulU2m02nT5/Od86SJUtUpUqVQvdls9m0atWqUqsNwM1BmAFQ6mw2W4GXYcOG5brNggUL5OfnpytXrjjGzp49K09PT/3hD39wmrtt2zbZbDZ9//336tSpk44dOyZ/f/8i1xcdHa1WrVqVtD0AbsbD1QUAuPUcO3bM8f8rVqzQ5MmTnb64zsfHJ9dtoqKidPbsWe3atUsdOnSQ9FtosdvtSkxM1Pnz5+Xr6yvpt6MxQUFBatCggaT/fQs1gN8njswAKHV2u91x8ff3l81myzV2vYYNGyooKEhbt251jG3dulX9+vVTvXr1lJCQ4DQeFRXl+P/rP2ZasmSJ6tSpI19fX/Xv318nTpxw2jZlyhR9/fXXjiNFS5YscWz/9ddf1b9/f/n6+io8PFyrV68uvQcGQJkgzABwG5GRkYqLi3Ncj4uLU2RkpCIiIhzjly5d0vbt2x1h5npffvmlhg8frlGjRikpKUlRUVGaNm2aY/tDDz2k5557Tk2bNtWxY8d07NgxPfTQQ47tU6ZM0YMPPqi9e/eqd+/eGjx4sE6ePFlGHQMoDYQZAG4jMjJSX3zxha5cuaLMzEx99dVXuuuuuxQREeE4YrNjxw5duHAh3zDz+uuvq2fPnpowYYIaNGigsWPHqmfPno7tPj4+qlSpkjw8PBxHiq792GvYsGF6+OGHVb9+fcXExOjcuXPauXNnmfYN4MYQZgC4jaioKJ07d06JiYnatm2bGjRooBo1aigiIkKJiYk6d+6ctm7dqjp16qhu3bp57uObb75Rx44dncauv16QFi1aOP6/YsWK8vPzU3p6eskaAnBTcAIwALdRv3591a5dW3FxcTp16pQiIiIk/XYOTlhYmL744gvFxcWpS5cu+e7DGHNDNXh6ejpdt9lsys7OvqF9AihbHJkB4FaioqK0detWbd26VZGRkY7xiIgIbdiwQTt27Mj3IyZJatKkiXbs2OE0dv31ChUq6OrVq6VaNwDXIcwAcCtRUVH6/PPPlZSU5DgyI/0WZt5++21dvHixwDAzduxYrV+/XrNmzdL333+vuXPnav369U5zQkNDlZycrKSkJP3666/Kysoqs34AlD3CDAC3EhUVpQsXLqh+/foKDAx0jEdERCgzM1P16tVTcHBwvrfv0KGD/vnPf+qNN95Qq1attHHjRr344otOc/74xz+qV69eioqK0m233aYPPvigzPoBUPZs5kY/YAYAAHAhjswAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABLI8wAAABL+/8ACJ/sSwLGg7sAAAAASUVORK5CYII=", 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", 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" ] @@ -839,12 +970,12 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -864,12 +995,12 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { - "image/png": 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59tlnC9Wcb+/evUaSeeqpp9zW//bbbxtJbu/jv//9727v3yvlH3MLHls7depk+vfv79YWHR1tateuXeptzde5c2e3v61Xc/HiRRMZGWkaNGhg9VG+bdu2GS8vL7NmzRpjzM/vtRdffLHE9ebvQ+np6YXmxcbGmnbt2pWqvnzV6quxJk2aaNOmTUpLS9PcuXM1ZMgQffPNN5o6daq6du1a6JRpUQYNGqTatWtbj/MT5eHDhyVJ+/btU0ZGhu6//36357Vu3Vq//OUvS1z/v//9b0VFRSkoKEiXLl2ypvxPQSkpKVd9/h133KEjR45o5cqVmjRpkjp37qxVq1bprrvu0hNPPFHi63/77bf6+uuvNXLkSElyq+GOO+5Qenq69u3b5/ac/GXzhYeHKzg4WBs2bCjx9UrSqFEjRUdHu7V9/PHH6tSpk37xi1+4tY8ePVrGmEIDrsvio48+0qVLl/TrX//abdu9vb0VERFR5JVS9957b7lfryBTyk9X3bp1U7t27dzaSrvvfPjhh/L29ra+ZrxW+/bt0/fff6+HHnrI7RR4/fr1de+992rLli06e/as23PuuuuuQttz/vx5tyvntm3bprvuuktNmjRR7dq15eXlpV//+tfKzc0t8uuRihAdHa1GjRqVatkFCxaoZ8+e8vb2Vp06deTl5aX169dr7969hZatyseNvLw8t+fk5uaWvPGSBg8e7Pa4Y8eOcjgcbmds6tSpo7Zt21rbmV9rly5d1L17d7fX7d+/v9tXrvnHj4LHl/yzJCXJzMzU+PHj1apVK+v3ExwcLElF/o5Ks09WtPwLI/LPCiUnJysmJka33367kpOTJV0eqH/mzBm3iygKKq6v7r///iKHglyNy+UqdGzt1q2b2+9QktavX1/hX7teyRijRx55RJs2bdLSpUvVqlUra96lS5c0ZswYDRs2TP379y/3axR35V1Zr/SrVkEoX69evfS73/1Of//73/X999/rqaee0qFDh4r8LrugJk2auD12Op2SLg9WlX4ep5M/2PVKRbUV9MMPP+j999+Xl5eX25Q/Wr40Yc3Hx0d33323XnzxRaWkpOjbb79Vp06d9Oqrr2r37t0lvr4kTZo0qVANEyZMKLIGl8tVaD0ul8vqi2tR1HinY8eOFdkeFBRkzS+v/O3v3bt3oe1/9913C227r6/vVb8yKoszZ87o2LFj1nZcTVHbX9p958cff1RQUFCpv7cvydXGpgUFBSkvL08nTpxway/pfXTkyBHdeuut+u677/TKK69YH2BeffVVt+UqWmmvOpo3b54ee+wx9enTR//85z+1ZcsWpaWlacCAAUXWVpWPG7NmzXJ7zpVfk1xN48aN3R7XrVtXvr6+8vb2LtR+/vx5t1p37NhRqFY/Pz8ZY6xajx07pjp16hTqu6KONwXl5eUpNjZWK1as0OTJk7V+/Xp9/vnn1ris8vyOKkNwcLDatGmjdevW6ezZs9q8ebMVhP73v/9p3759WrdunXx8fBQeHl7sevL3n4J9U1T/laSo5Z1OZ6X2Q0HGGI0dO1Z//etftXjxYg0ZMsRtflJSkg4cOKAZM2bo5MmTOnnypLKysiRJ58+f18mTJ68a6PO3sai/FcePHy+0b5ekWo0RKoqXl5dmzJihl19+uezfCxYhv4OvHOiWLyMjo8TnN23aVN26ddMLL7xQ5PzS/JEsqHXr1vq///s/xcXFaffu3cVegpj/+pI0depU6zv9gtq3b+/2uKjtysjIUNu2bctca0FFJfMmTZooPT29UPv3338v6edtKI/85/7jH/+wPj2Wtb7yWr16tXJzc0t1/6qiXre0+06zZs306aefKi8vr0LCUP4+X9zvpFatWqU+y5Jv1apVOnPmjFasWOH2e6js+16V9vf517/+VZGRkXr99dfd2q8cj1EWnjxu/N///Z/b2Z38AFBZmjZtKh8fn2LH3uS/B5s0aaJLly7p2LFjbn+cS9Mfu3bt0ldffaXFixdr1KhRVvu33357jdVXvH79+ulf//qXUlJSlJeXp8jISPn5+SkoKEjJyclat26dbr311qv+XvL7JyMjQy1atLDa8/uvOskPQYsWLdJbb72lBx98sNAyu3bt0qlTpxQWFlZo3vPPP6/nn39e27ZtK/bWMF27dpUk7dy5023M56VLl/T1119r+PDhZaq5WgWh9PT0Ij/x5Z8mLU/IKKh9+/ZyuVz629/+pqefftpqP3LkiFJTU0t8jcGDB+uDDz5QmzZtyvzHIzs7Ww6HQ/Xr1y80r+A2Fvdpp3379goLC9NXX32lhISEUr3u22+/7fb1UGpqqg4fPmwNUK5o/fr105w5c/Tll19ag/0kaenSpXI4HIqKipJ09U90xc3r37+/6tSpo//+978V+pVXSY4cOaJJkybJ399f48aNK9c6SrvvDBw4UO+8844WL1581a/HSvspsH379mrRooWWLVumSZMmWWHizJkz+uc//2ldSVYW+eu48uBvjLEudfU0h8NR6A/Tjh07tHnzZrdT+KXlyeNGUFBQhRz7Smvw4MFKSEhQkyZNFBoaWuxyUVFRSkxM1Ntvv62JEyda7cuWLSvxNYrafyS5XZFZVdx+++1auHChkpKSdPPNN8vPz0/S5ePcypUrlZaWVuKxOP/D09tvv62bbrrJav/b3/5W6Our63Gmq7yMMXr00Ue1aNEi/fnPfy50VVe+KVOmFLpoJyMjQ8OHD9f48eM1bNiwq34Q79OnjwIDA7V48WINGzbMav/HP/6h06dPF3sSoDjVKgj1799fLVu21J133qkOHTooLy9P27dv10svvaT69evrN7/5zTW/Rq1atTRz5kyNGzdOv/rVrzRmzBidPHlSM2fOVGBgYImfwGfNmqXk5GSFh4dr4sSJat++vc6fP69Dhw7pgw8+0IIFC4q9f8S+ffvUv39/PfDAA4qIiFBgYKBOnDih1atXa+HChYqMjLROr7Zp00Y+Pj56++231bFjR9WvX986IP75z3/WwIED1b9/f40ePVotWrTQ8ePHtXfvXn355Zf6+9//7va6W7du1dixY3Xffffp6NGjmjZtmlq0aGF9lVbRnnrqKS1dulSDBg3SrFmzFBwcrNWrV+u1117TY489Zo2d8fPzU3BwsP71r3+pX79+aty4sZo2baqQkBDrE8Err7yiUaNGycvLS+3bt1dISIhmzZqladOm6cCBAxowYIAaNWqkH374QZ9//rnq1avndo+m8ti1a5c1LiIzM1ObNm3SokWLVLt2ba1cubLc90Mp7b4zfPhwLVq0SOPHj9e+ffsUFRWlvLw8/ec//1HHjh31wAMPSLr8qWnjxo16//33FRgYKD8/v0JnA6XL+3xiYqJGjhypwYMHa9y4ccrJydGLL76okydPau7cuWXelpiYGNWtW1fDhw/X5MmTdf78eb3++uuFvmLzlMGDB+v3v/+9ZsyYoYiICO3bt0+zZs1SaGhoucZNePK4cb3FxcXpn//8p2677TY99dRT6tatm/Ly8nTkyBGtXbtWzzzzjPr06aPY2Fjddtttmjx5ss6cOaNevXrps88+0//7f/+vxNfo0KGD2rRpoylTpsgYo8aNG+v999+3xt1UJdHR0XI4HFq7dq3bseX222+3zmZdbXyQdHl81oMPPqikpCR5eXnp9ttv165du/THP/6x0Ff3+ffxWbhwofz8/OTt7a3Q0NAyf4XWr18/paSklGp/37p1q3Vrg6ysLBlj9I9//EPS5WEI+Wd9J06cqLfeektjxoxR165d3W4x4XQ61aNHD0mXf78dOnRwe4389bdp08btrPrhw4fVpk0bjRo1Sm+99ZYkqXbt2kpMTNRDDz2kcePGafjw4dq/f78mT56smJiYst+sskxDqz3s3XffNSNGjDBhYWGmfv36xsvLy7Ru3do89NBDZs+ePW7LFnfVWFEj0lXEFSULFy40bdu2NXXr1jXt2rUzf/nLX8yQIUNMjx49Snzujz/+aCZOnGhCQ0ONl5eXady4sbnpppvMtGnTzOnTp4vdvhMnTpjZs2eb6Oho06JFC1O3bl1Tr1490717dzN79mxz9uxZt+Xfeecd06FDB+Pl5VWojq+++srcf//9pnnz5sbLy8u4XC4THR1tFixYYC2Tf6XG2rVrzUMPPWQaNmxofHx8zB133GH2799fbJ1FKe6qsc6dOxe5/OHDh82IESNMkyZNjJeXl2nfvr158cUX3a5aMsaYdevWmR49ehin01no6ompU6eaoKAgU6tWrUJXUaxatcpERUWZBg0aGKfTaYKDg82vfvUrs27duqvWfDX5/ZU/1a1b1zRv3txERESYhIQEk5mZWeg5xV01VtyVKaXdd86dO2emT59uwsLCTN26dU2TJk1MdHS0SU1NtZbZvn27+eUvf2l8fX2NJOv9UPCqsSv7rE+fPsbb29vUq1fP9OvXz3z22WdFbs+PP/5YZN9cedXP+++/b2688Ubj7e1tWrRoYX77299aVxJd+doVedXY448/XuTyBd8fOTk5ZtKkSaZFixbG29vb9OzZ06xatapQLdXhuFFWxf0Oi3s/FPU+Pn36tHnuuedM+/btTd26dY2/v7/p2rWreeqpp0xGRoa13MmTJ82YMWNMw4YNja+vr4mJiTFff/11qa4a27Nnj4mJiTF+fn6mUaNG5r777jNHjhwp9Nyy7JMlKetVY/l69OhhJLm9X7777jvryt+CV64VdVzIyckxzzzzjGnevLnx9vY2N998s9m8ebMJDg4udPVnUlKSCQ0NNbVr13a7eri4Y25R77H8K8xKI/8K26KmK69cDg4OLna5kt7jxb3X8tuLugJ22bJlplu3bqZu3brG5XKZiRMnFrqCvDQcxlTyTQRqiJMnT6pdu3a6++67tXDhQk+XUyEWL16shx9+WGlpaWW6mRWA0qmJxw2gpqlWX41dLxkZGXrhhRcUFRWlJk2a6PDhw3r55ZeVnZ1dIV+/Aah5OG4A1RNBqAhOp1OHDh3ShAkTdPz4cfn6+urmm2/WggULrnrFFgD74rgBVE98NQYAAGyrWt5QEQAAoCIQhAAAgG0RhAAAgG3V+MHSeXl5+v777+Xn51eh/04BAABUHmOMsrOzK/R/Kxalxgeh77//vly3zAcAAJ539OjRSr2zeo0PQvn/9+Xo0aMV9l/GAQBA5crKylKrVq2sv+OVpcYHofyvwxo0aEAQAgCgmqnsYS0MlgYAALZFEAIAALZFEAIAALZFEAIAALZFEAIAALZFEAIAALZFEAIAALZFEAIAALZFEAIAALZFEAIAALZFEAIAALZFEAIAALZFEAIAALZFEAIAALZFEAIAALbl0SAUEhIih8NRaHr88cclScYYxcfHKygoSD4+PoqMjNTu3bs9WTJQo4RMWW1NAGBHHg1CaWlpSk9Pt6bk5GRJ0n333SdJSkxM1Lx58zR//nylpaXJ5XIpJiZG2dnZniwbAADUEB4NQs2aNZPL5bKmf//732rTpo0iIiJkjFFSUpKmTZumoUOHqkuXLlqyZInOnj2rZcuWebJsAABQQ1SZMUIXLlzQX//6V40ZM0YOh0MHDx5URkaGYmNjrWWcTqciIiKUmprqwUoBAEBNUcfTBeRbtWqVTp48qdGjR0uSMjIyJEkBAQFuywUEBOjw4cPFricnJ0c5OTnW46ysrIovFgAA1AhV5ozQW2+9pYEDByooKMit3eFwuD02xhRqu9KcOXPk7+9vTa1ataqUegEAQPVXJYLQ4cOHtW7dOo0dO9Zqc7lckn4+M5QvMzOz0FmiK02dOlWnTp2ypqNHj1ZO0QAAoNqrEkFo0aJFat68uQYNGmS1hYaGyuVyWVeSSZfHEaWkpCg8PLzYdTmdTjVo0MBtAgAAKIrHxwjl5eVp0aJFGjVqlOrU+bkch8OhuLg4JSQkKCwsTGFhYUpISJCvr69GjBjhwYoBAEBN4fEgtG7dOh05ckRjxowpNG/y5Mk6d+6cJkyYoBMnTqhPnz5au3at/Pz8PFApAACoaRzGGOPpIipTVlaW/P39derUKb4mAwq48o7Sh+YOusqSAHB9Xa+/31VijBAAAIAnEIQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAmwqZsrrQ44JtAFDTEYQAAIBtEYQAAIBtEYQAAIBtEYQAAIBtEYQAlAuDqwHUBAQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhoIYo7eDlkpZjADQAOyEIAQAA2yIIAQAA2yIIAQAA2yIIAQAA2yIIATXQlQOiuQM0ABSPIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIASgEAZYA7ALjweh7777Tg8++KCaNGkiX19fde/eXV988YU13xij+Ph4BQUFycfHR5GRkdq9e7cHKwYAADWFR4PQiRMn9Mtf/lJeXl768MMPtWfPHr300ktq2LChtUxiYqLmzZun+fPnKy0tTS6XSzExMcrOzvZc4QAAoEao48kX/8Mf/qBWrVpp0aJFVltISIj1szFGSUlJmjZtmoYOHSpJWrJkiQICArRs2TKNGzfuepcMAABqEI+eEXrvvffUq1cv3XfffWrevLl69OihN954w5p/8OBBZWRkKDY21mpzOp2KiIhQampqkevMyclRVlaW2wQAAFAUjwahAwcO6PXXX1dYWJg++ugjjR8/XhMnTtTSpUslSRkZGZKkgIAAt+cFBARY8wqaM2eO/P39ralVq1aVuxEAAKDa8mgQysvLU8+ePZWQkKAePXpo3LhxevTRR/X666+7LedwONweG2MKteWbOnWqTp06ZU1Hjx6ttPoBAED15tEgFBgYqE6dOrm1dezYUUeOHJEkuVwuSSp09iczM7PQWaJ8TqdTDRo0cJsAAACK4tEg9Mtf/lL79u1za/vmm28UHBwsSQoNDZXL5VJycrI1/8KFC0pJSVF4ePh1rRUAANQ8Hr1q7KmnnlJ4eLgSEhJ0//336/PPP9fChQu1cOFCSZe/EouLi1NCQoLCwsIUFhamhIQE+fr6asSIEZ4sHQAA1AAeDUK9e/fWypUrNXXqVM2aNUuhoaFKSkrSyJEjrWUmT56sc+fOacKECTpx4oT69OmjtWvXys/Pz4OVA9VDwbtDc7doAHDn0SAkSYMHD9bgwYOLne9wOBQfH6/4+PjrVxQAALAFj/+LDQAAAE8hCAEAANsiCAEAANsiCAEoVmkHV4dMWc1AbADVEkEIAADYFkEIAADYFkEIAADYFkEIAADYFkEIqGEYtAwApUcQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQAqox7ugMANeGIAQAAGyLIAQAAGyLIAQAAGyLIAQAAGyLIATYBIOqAaAwghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghCAqwqZslohU1YX+hkAagKCEAAAsC2CEAAAsC2CEAAAsC2CEAAAsK06ni4AQMmuHKB8aO6gQm3XGwOmAdQUHj0jFB8fL4fD4Ta5XC5rvjFG8fHxCgoKko+PjyIjI7V7924PVgwAAGoSj3811rlzZ6Wnp1vTzp07rXmJiYmaN2+e5s+fr7S0NLlcLsXExCg7O9uDFQMAgJrC40GoTp06crlc1tSsWTNJl88GJSUladq0aRo6dKi6dOmiJUuW6OzZs1q2bJmHqwYAADWBx4PQ/v37FRQUpNDQUD3wwAM6cOCAJOngwYPKyMhQbGystazT6VRERIRSU1OLXV9OTo6ysrLcJgAAgKJ4NAj16dNHS5cu1UcffaQ33nhDGRkZCg8P17Fjx5SRkSFJCggIcHtOQECANa8oc+bMkb+/vzW1atWqUrcBqCxV7S7OxdVSlWoEgLLyaBAaOHCg7r33XnXt2lW33367Vq++fEBdsmSJtYzD4XB7jjGmUNuVpk6dqlOnTlnT0aNHK6d4AABQ7Xn8q7Er1atXT127dtX+/futq8cKnv3JzMwsdJboSk6nUw0aNHCbAAAAilKlglBOTo727t2rwMBAhYaGyuVyKTk52Zp/4cIFpaSkKDw83INVAgCAmsKjN1ScNGmS7rzzTrVu3VqZmZmaPXu2srKyNGrUKDkcDsXFxSkhIUFhYWEKCwtTQkKCfH19NWLECE+WDQAAagiPBqH//e9/Gj58uH766Sc1a9ZMN998s7Zs2aLg4GBJ0uTJk3Xu3DlNmDBBJ06cUJ8+fbR27Vr5+fl5smwAAFBDeDQILV++/KrzHQ6H4uPjFR8ff30KAgAAtlKlxggBAABcTwQhAABgWwQhAABgWwQhoAqpaneTBoCajiAEAABsiyAEAABsiyAEAABsiyAEAABsy6M3VARQdgymBoCKwxkhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhoAbgbtMAUD4EIQAAYFsEIQAAYFsEIQAAYFsEIQAAYFsEIQCVggHcAKoDghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghAAALAtghCASlPwpoohU1Z75EaL3NwRQHEIQgAAwLYIQgAAwLYIQgAAwLYIQgAAwLYIQkAVVF0H91bXugHYV7mC0A033KBjx44Vaj958qRuuOGGchUyZ84cORwOxcXFWW3GGMXHxysoKEg+Pj6KjIzU7t27y7V+AACAgsoVhA4dOqTc3NxC7Tk5Ofruu+/KvL60tDQtXLhQ3bp1c2tPTEzUvHnzNH/+fKWlpcnlcikmJkbZ2dnlKRsAAMBNnbIs/N5771k/f/TRR/L397ce5+bmav369QoJCSlTAadPn9bIkSP1xhtvaPbs2Va7MUZJSUmaNm2ahg4dKklasmSJAgICtGzZMo0bN65MrwMAAFBQmYLQ3XffLUlyOBwaNWqU2zwvLy+FhITopZdeKlMBjz/+uAYNGqTbb7/dLQgdPHhQGRkZio2NtdqcTqciIiKUmppabBDKyclRTk6O9TgrK6tM9QAAAPsoUxDKy8uTJIWGhiotLU1Nmza9phdfvny5vvzyS6WlpRWal5GRIUkKCAhwaw8ICNDhw4eLXeecOXM0c+bMa6oLQOUKmbJah+YO8ujrS/JoDQCqhnKNETp48OA1h6CjR4/qN7/5jf7617/K29u72OUcDofbY2NMobYrTZ06VadOnbKmo0ePXlOdAACg5irTGaErrV+/XuvXr1dmZqZ1pijfX/7ylxKf/8UXXygzM1M33XST1Zabm6tPPvlE8+fP1759+yRdPjMUGBhoLZOZmVnoLNGVnE6nnE5nWTcHAADYULnOCM2cOVOxsbFav369fvrpJ504ccJtKo1+/fpp586d2r59uzX16tVLI0eO1Pbt23XDDTfI5XIpOTnZes6FCxeUkpKi8PDw8pQNAADgplxnhBYsWKDFixfroYceKvcL+/n5qUuXLm5t9erVU5MmTaz2uLg4JSQkKCwsTGFhYUpISJCvr69GjBhR7tcFAADIV64gdOHChetyVmby5Mk6d+6cJkyYoBMnTqhPnz5au3at/Pz8Kv21AQBAzVeur8bGjh2rZcuWVXQt2rhxo5KSkqzHDodD8fHxSk9P1/nz55WSklLoLBIAAEB5leuM0Pnz57Vw4UKtW7dO3bp1k5eXl9v8efPmVUhxAAAAlalcQWjHjh3q3r27JGnXrl1u8652aTsAAEBVUq4gtGHDhoquAwAA4Lor1xghABUv/27HdhcyZTV9AeC6KdcZoaioqKt+Bfbxxx+XuyAAAIDrpVxBKH98UL6LFy9q+/bt2rVrV6F/xgoAAFBVlSsIvfzyy0W2x8fH6/Tp09dUEAAAwPVSoWOEHnzwwVL9nzEAAICqoNz/dLUomzdvvup/kgdQdtVt4HB1qxeAvZUrCA0dOtTtsTFG6enp2rp1q55//vkKKQwAAKCylSsI+fv7uz2uVauW2rdvr1mzZik2NrZCCgMAAKhs5QpCixYtqug6AAAArrtrGiP0xRdfaO/evXI4HOrUqZN69OhRUXUBAABUunIFoczMTD3wwAPauHGjGjZsKGOMTp06paioKC1fvlzNmjWr6DoBVFOVOXg6ZMpqHZo7qNLWD6DmK9fl808++aSysrK0e/duHT9+XCdOnNCuXbuUlZWliRMnVnSNAAAAlaJcZ4TWrFmjdevWqWPHjlZbp06d9OqrrzJYGgAAVBvlOiOUl5cnLy+vQu1eXl7Ky8u75qIAAACuh3IFoejoaP3mN7/R999/b7V99913euqpp9SvX78KKw4AAKAylSsIzZ8/X9nZ2QoJCVGbNm3Utm1bhYaGKjs7W3/6058qukZcJyFTVnNXYHhUefa/4vZb9mUApVGuMUKtWrXSl19+qeTkZH399dcyxqhTp066/fbbK7o+AACASlOmM0Iff/yxOnXqpKysLElSTEyMnnzySU2cOFG9e/dW586dtWnTpkopFAAAoKKVKQglJSXp0UcfVYMGDQrN8/f317hx4zRv3rwKKw4AAKAylSkIffXVVxowYECx82NjY/XFF19cc1EAAADXQ5mC0A8//FDkZfP56tSpox9//PGaiwJqMgalA0DVUaYg1KJFC+3cubPY+Tt27FBgYOA1FwUAAHA9lCkI3XHHHZo+fbrOnz9faN65c+c0Y8YMDR48uMKKAwAAqExlunz+ueee04oVK9SuXTs98cQTat++vRwOh/bu3atXX31Vubm5mjZtWmXVCgAAUKHKFIQCAgKUmpqqxx57TFOnTpUxRpLkcDjUv39/vfbaawoICKiUQgEAACpamW+oGBwcrA8++EAnTpzQt99+K2OMwsLC1KhRo8qoDwAUMmW1Ds0d5OkyANRA5bqztCQ1atRIvXv3rshaAAAArqty/a8xAACAmoAgBAAAbIsgBAAAbIsgBMDjirrbtifvvp1fT0k1lLZG7iYOVF0EIQAAYFsEIQAAYFsEIQAAYFsEIQAAYFvlvqEiaq4rB3VyN19Ulvz97HrvY8UNymZfB+zJo2eEXn/9dXXr1k0NGjRQgwYN1LdvX3344YfWfGOM4uPjFRQUJB8fH0VGRmr37t0erBgAANQkHg1CLVu21Ny5c7V161Zt3bpV0dHRGjJkiBV2EhMTNW/ePM2fP19paWlyuVyKiYlRdna2J8sGAAA1hEeD0J133qk77rhD7dq1U7t27fTCCy+ofv362rJli4wxSkpK0rRp0zR06FB16dJFS5Ys0dmzZ7Vs2TJPlg0AAGqIKjNYOjc3V8uXL9eZM2fUt29fHTx4UBkZGYqNjbWWcTqdioiIUGpqarHrycnJUVZWltsEAABQFI8HoZ07d6p+/fpyOp0aP368Vq5cqU6dOikjI0OSFBAQ4LZ8QECANa8oc+bMkb+/vzW1atWqUusHcG0q+o7LFX0X59LcXZq7RgPVl8eDUPv27bV9+3Zt2bJFjz32mEaNGqU9e/ZY8x0Oh9vyxphCbVeaOnWqTp06ZU1Hjx6ttNoBAED15vHL5+vWrau2bdtKknr16qW0tDS98sor+t3vfidJysjIUGBgoLV8ZmZmobNEV3I6nXI6nZVbNAAAqBE8fkaoIGOMcnJyFBoaKpfLpeTkZGvehQsXlJKSovDwcA9WCAAAagqPnhF69tlnNXDgQLVq1UrZ2dlavny5Nm7cqDVr1sjhcCguLk4JCQkKCwtTWFiYEhIS5OvrqxEjRniybAAAUEN4NAj98MMPeuihh5Seni5/f39169ZNa9asUUxMjCRp8uTJOnfunCZMmKATJ06oT58+Wrt2rfz8/DxZtq2ETFnNHXcrUFGDahloWzFK2ldLM+i5tPs6vzOg5vBoEHrrrbeuOt/hcCg+Pl7x8fHXpyAAAGArVW6MEAAAwPVCEAIAALZFEAIAALZFEAJQY1W1uz5XpVoAXEYQAgAAtkUQAgAAtkUQAgAAtkUQAgAAtkUQQpkw2LPi0JeeV9rfQVUbdA2g4hCEAACAbRGEAACAbRGEAACAbRGEAACAbRGEbIzBn57H76D0GLAMoDIQhAAAgG0RhAAAgG0RhAAAgG0RhAAAgG3V8XQBuP4YcAoAwGWcEQIAALZFEAIAALZFEAIAALZFEAIAALbFYGmbyB8gfWjuoFK1X20dKDv6rnqoqN9TyJTVZXpPlWZZAJWDM0IAAMC2CEIAAMC2CEIAAMC2CEIAAMC2GCyNEjHQF55Snfc9BkID1QNnhAAAgG0RhAAAgG0RhAAAgG0RhAAAgG0RhGqwkCmrq/VgU6Aontynr/aeqsy6eC8DlYcgBAAAbIsgBAAAbIsgBAAAbIsgBAAAbMujQWjOnDnq3bu3/Pz81Lx5c919993at2+f2zLGGMXHxysoKEg+Pj6KjIzU7t27PVRx9VTRgywZuFk69FPlKa5va0p/s+8A149Hg1BKSooef/xxbdmyRcnJybp06ZJiY2N15swZa5nExETNmzdP8+fPV1pamlwul2JiYpSdne3BygEAQE3g0f81tmbNGrfHixYtUvPmzfXFF1/otttukzFGSUlJmjZtmoYOHSpJWrJkiQICArRs2TKNGzfOE2UDAIAaokqNETp16pQkqXHjxpKkgwcPKiMjQ7GxsdYyTqdTERERSk1N9UiNAACg5qgy/33eGKOnn35at9xyi7p06SJJysjIkCQFBAS4LRsQEKDDhw8XuZ6cnBzl5ORYj7OysiqpYgAAUN1VmTNCTzzxhHbs2KF33nmn0DyHw+H22BhTqC3fnDlz5O/vb02tWrWqlHqrK0/cFRcAgKqqSgShJ598Uu+99542bNigli1bWu0ul0vSz2eG8mVmZhY6S5Rv6tSpOnXqlDUdPXq08goHAADVmkeDkDFGTzzxhFasWKGPP/5YoaGhbvNDQ0PlcrmUnJxstV24cEEpKSkKDw8vcp1Op1MNGjRwmwAAAIri0TFCjz/+uJYtW6Z//etf8vPzs878+Pv7y8fHRw6HQ3FxcUpISFBYWJjCwsKUkJAgX19fjRgxwpOlAwCAGsCjQej111+XJEVGRrq1L1q0SKNHj5YkTZ48WefOndOECRN04sQJ9enTR2vXrpWfn991rhYAANQ0Hg1CxpgSl3E4HIqPj1d8fHzlF4QyCZmyWofmDvJ0GUCVwUUHQPVTJQZLAwAAeAJBCAAA2BZBCAAA2BZBCKhkjBtBUa7cL9hHAM8hCAEAANsiCAEAANsiCAEAANsiCAEAANsiCNUwIVNWM/CyCuB3gMpS3Huc9z5QPgQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgW3U8XQAA1GQF7/bM3Z+BqoUzQgAAwLYIQgAAwLYIQgAAwLYIQgAAwLYIQkAZMdgV1wv7GlD5CEIAAMC2CEIAAMC2CEIAAMC2CEIAAMC2uLN0DcLAymsXMmW1Ds0dVKblgYqQvy+VZ/8ry3MAuOOMEAAAsC2CEAAAsC2CEAAAsC2CEAAAsC2CUA3FIN6yo89QFZR2P2R/BSoGQQgAANgWQQgAANgWQQgAANgWQQgAANgWQagGCJmy2mMDJz352oAdlPX9xfsRKBuPBqFPPvlEd955p4KCguRwOLRq1Sq3+cYYxcfHKygoSD4+PoqMjNTu3bs9UywAAKhxPBqEzpw5oxtvvFHz588vcn5iYqLmzZun+fPnKy0tTS6XSzExMcrOzr7OlQIAgJrIo/90deDAgRo4cGCR84wxSkpK0rRp0zR06FBJ0pIlSxQQEKBly5Zp3Lhx17NUAABQA1XZMUIHDx5URkaGYmNjrTan06mIiAilpqYW+7ycnBxlZWW5TQAAAEWpskEoIyNDkhQQEODWHhAQYM0rypw5c+Tv729NrVq1qtQ6cVlVGqBZUQO4q9I2ARL7JFAZqmwQyudwONweG2MKtV1p6tSpOnXqlDUdPXq0sksEAADVlEfHCF2Ny+WSdPnMUGBgoNWemZlZ6CzRlZxOp5xOZ6XXBwAAqr8qe0YoNDRULpdLycnJVtuFCxeUkpKi8PBwD1YGAABqCo+eETp9+rS+/fZb6/HBgwe1fft2NW7cWK1bt1ZcXJwSEhIUFhamsLAwJSQkyNfXVyNGjPBg1QAAoKbw6BmhrVu3qkePHurRo4ck6emnn1aPHj00ffp0SdLkyZMVFxenCRMmqFevXvruu++0du1a+fn5ebLsKoXBk9eG/kNNUNx+fGU7+zpQNI+eEYqMjJQxptj5DodD8fHxio+Pv35FAQAA26iyY4QAAAAqG0EIAADYFkEIAADYVpW9jxAAoHxKM3j60NxB16scoErjjBAAALAtghAAALAtghAAALAtghAAALAtBktXQ/kDHhns+LOy9EnIlNWl7rviBpdyl15UF+yrwNVxRggAANgWQQgAANgWQQgAANgWQQgAANgWg6WrMQZBlqwiB5bT36hJuMs0cBlnhAAAgG0RhAAAgG0RhAAAgG0RhAAAgG05jDHG00VUpqysLPn7++vUqVNq0KBBha+/LHcprqjXq6qK64fKvhN2Ve4ToDop6j1a3PuXO9yjslX23+98nBECAAC2RRACAAC2RRACAAC2RRACAAC2RRBCtRUyZTUDpQEPK+17sKj3a1HP5X2N640gBAAAbIsgBAAAbIsgBAAAbIsgBAAAbIsgVMFKM8ivuGVqygDB8mzH1QZIMngSuH6u9l4ry3vxyuV4/xZWnfvkyv2gOm9HPoIQAACwLYIQAACwLYIQAACwLYIQAACwrTqeLqAmyB8sdmjuoBKXKcs6r7a+qqiowZGl2YbiBlUemjuIAZdANVKa41ZRyxR1vCjuWFDaY0ppjscFX6+yjrnXcuwq2A/5bdfSD9Xx70tl4owQAACwLYIQAACwLYIQAACwLYIQAACwrWoxWPq1117Tiy++qPT0dHXu3FlJSUm69dZbPV1WsSr67tLVeZBwwcHOVw72A1A1lXQcKji/rHfLL25d13LsLM0A7KJer6wXdJR0DCt4kUdpXO0ikdI8p+Bzixp0frV+KK4PStrumnIcr/JnhN59913FxcVp2rRp2rZtm2699VYNHDhQR44c8XRpAACgmqvyQWjevHl65JFHNHbsWHXs2FFJSUlq1aqVXn/9dU+XBgAAqrkqHYQuXLigL774QrGxsW7tsbGxSk1N9VBVAACgpqjSY4R++ukn5ebmKiAgwK09ICBAGRkZRT4nJydHOTk51uNTp05JkrKysiqlxrycs9bPWVlZbo+vVX7NFblOTyvLNlV0fwK4uop4z1XGcas0dV15jC94XL5SwfVcWW9xfyeKWl9x9ZSlD4ta19WeX9rXLm69+Yrrg4JKu92V9fc1f73GmEpZv8VUYd99952RZFJTU93aZ8+ebdq3b1/kc2bMmGEkMTExMTExMdWA6ejRo5WaNar0GaGmTZuqdu3ahc7+ZGZmFjpLlG/q1Kl6+umnrcd5eXk6fvy4mjRpIofDUaH1ZWVlqVWrVjp69KgaNGhQoeuuKeij0qGfSod+Khl9VDr0U+l4sp+MMcrOzlZQUFClvk6VDkJ169bVTTfdpOTkZN1zzz1We3JysoYMGVLkc5xOp5xOp1tbw4YNK7NMNWjQgDdSCeij0qGfSod+Khl9VDr0U+l4qp/8/f0r/TWqdBCSpKeffloPPfSQevXqpb59+2rhwoU6cuSIxo8f7+nSAABANVflg9CwYcN07NgxzZo1S+np6erSpYs++OADBQcHe7o0AABQzVX5ICRJEyZM0IQJEzxdRiFOp1MzZswo9FUcfkYflQ79VDr0U8noo9Khn0rHDv3kMKayr0sDAAComqr0DRUBAAAqE0EIAADYFkEIAADYFkEIAADYFkGonF577TWFhobK29tbN910kzZt2uTpkjwmPj5eDofDbXK5XNZ8Y4zi4+MVFBQkHx8fRUZGavfu3R6s+Pr45JNPdOeddyooKEgOh0OrVq1ym1+afsnJydGTTz6ppk2bql69errrrrv0v//97zpuReUrqZ9Gjx5daP+6+eab3Zap6f00Z84c9e7dW35+fmrevLnuvvtu7du3z20Z9qfS9ZPd96fXX39d3bp1s26Q2LdvX3344YfWfDvuRwShcnj33XcVFxenadOmadu2bbr11ls1cOBAHTlyxNOleUznzp2Vnp5uTTt37rTmJSYmat68eZo/f77S0tLkcrkUExOj7OxsD1Zc+c6cOaMbb7xR8+fPL3J+afolLi5OK1eu1PLly/Xpp5/q9OnTGjx4sHJzc6/XZlS6kvpJkgYMGOC2f33wwQdu82t6P6WkpOjxxx/Xli1blJycrEuXLik2NlZnzpyxlmF/Kl0/Sfben1q2bKm5c+dq69at2rp1q6KjozVkyBAr7NhyP6rU/2RWQ/3iF78w48ePd2vr0KGDmTJliocq8qwZM2aYG2+8sch5eXl5xuVymblz51pt58+fN/7+/mbBggXXqULPk2RWrlxpPS5Nv5w8edJ4eXmZ5cuXW8t89913platWmbNmjXXrfbrqWA/GWPMqFGjzJAhQ4p9jh37KTMz00gyKSkpxhj2p+IU7Cdj2J+K0qhRI/Pmm2/adj/ijFAZXbhwQV988YViY2Pd2mNjY5Wamuqhqjxv//79CgoKUmhoqB544AEdOHBAknTw4EFlZGS49ZfT6VRERISt+6s0/fLFF1/o4sWLbssEBQWpS5cutuu7jRs3qnnz5mrXrp0effRRZWZmWvPs2E+nTp2SJDVu3FgS+1NxCvZTPvany3Jzc7V8+XKdOXNGffv2te1+RBAqo59++km5ubkKCAhwaw8ICFBGRoaHqvKsPn36aOnSpfroo4/0xhtvKCMjQ+Hh4Tp27JjVJ/SXu9L0S0ZGhurWratGjRoVu4wdDBw4UG+//bY+/vhjvfTSS0pLS1N0dLRycnIk2a+fjDF6+umndcstt6hLly6S2J+KUlQ/SexPkrRz507Vr19fTqdT48eP18qVK9WpUyfb7kfV4l9sVEUOh8PtsTGmUJtdDBw40Pq5a9eu6tu3r9q0aaMlS5ZYgxDpr6KVp1/s1nfDhg2zfu7SpYt69eql4OBgrV69WkOHDi32eTW1n5544gnt2LFDn376aaF57E8/K66f2J+k9u3ba/v27Tp58qT++c9/atSoUUpJSbHm220/4oxQGTVt2lS1a9culHwzMzMLpWi7qlevnrp27ar9+/dbV4/RX+5K0y8ul0sXLlzQiRMnil3GjgIDAxUcHKz9+/dLslc/Pfnkk3rvvfe0YcMGtWzZ0mpnf3JXXD8VxY77U926ddW2bVv16tVLc+bM0Y033qhXXnnFtvsRQaiM6tatq5tuuknJyclu7cnJyQoPD/dQVVVLTk6O9u7dq8DAQIWGhsrlcrn114ULF5SSkmLr/ipNv9x0003y8vJyWyY9PV27du2ydd8dO3ZMR48eVWBgoCR79JMxRk888YRWrFihjz/+WKGhoW7z2Z8uK6mfimLH/akgY4xycnLsux95YIB2tbd8+XLj5eVl3nrrLbNnzx4TFxdn6tWrZw4dOuTp0jzimWeeMRs3bjQHDhwwW7ZsMYMHDzZ+fn5Wf8ydO9f4+/ubFStWmJ07d5rhw4ebwMBAk5WV5eHKK1d2drbZtm2b2bZtm5Fk5s2bZ7Zt22YOHz5sjCldv4wfP960bNnSrFu3znz55ZcmOjra3HjjjebSpUue2qwKd7V+ys7ONs8884xJTU01Bw8eNBs2bDB9+/Y1LVq0sFU/PfbYY8bf399s3LjRpKenW9PZs2etZdifSu4n9idjpk6daj755BNz8OBBs2PHDvPss8+aWrVqmbVr1xpj7LkfEYTK6dVXXzXBwcGmbt26pmfPnm6XZ9rNsGHDTGBgoPHy8jJBQUFm6NChZvfu3db8vLw8M2PGDONyuYzT6TS33Xab2blzpwcrvj42bNhgJBWaRo0aZYwpXb+cO3fOPPHEE6Zx48bGx8fHDB482Bw5csQDW1N5rtZPZ8+eNbGxsaZZs2bGy8vLtG7d2owaNapQH9T0fiqqfySZRYsWWcuwP5XcT+xPxowZM8b629WsWTPTr18/KwQZY8/9yGGMMdfv/BMAAEDVwRghAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhAABgWwQhANXaxo0b5XA4dPLkyWKXWbx4sRo2bFjiuhwOh1atWlVhtQGo+ghCACqcw+G46jR69OhCz1mwYIH8/Px06dIlq+306dPy8vLSrbfe6rbspk2b5HA49M033yg8PFzp6eny9/cvdX3x8fHq3r17eTcPQA1Sx9MFAKh50tPTrZ/fffddTZ8+Xfv27bPafHx8Cj0nKipKp0+f1tatW3XzzTdLuhx4XC6X0tLSdPbsWfn6+kq6fBYoKChI7dq1k/Tzf18HgLLijBCACudyuazJ399fDoejUFtB7du3V1BQkDZu3Gi1bdy4UUOGDFGbNm2Umprq1h4VFWX9XPCrscWLF6t169by9fXVPffco2PHjrnNmzlzpr766ivrDNXixYut+T/99JPuuece+fr6KiwsTO+9917FdQyAKocgBKDKiIyM1IYNG6zHGzZsUGRkpCIiIqz2CxcuaPPmzVYQKug///mPxowZowkTJmj79u2KiorS7NmzrfnDhg3TM888o86dOys9PV3p6ekaNmyYNX/mzJm6//77tWPHDt1xxx0aOXKkjh8/XklbDMDTCEIAqozIyEh99tlnunTpkrKzs7Vt2zbddtttioiIsM4UbdmyRefOnSs2CL3yyivq37+/pkyZonbt2mnixInq37+/Nd/Hx0f169dXnTp1rDNUV35VN3r0aA0fPlxt27ZVQkKCzpw5o88//7xStxuA5xCEAFQZUVFROnPmjNLS0rRp0ya1a9dOzZs3V0REhNLS0nTmzBlt3LhRrVu31g033FDkOvbu3au+ffu6tRV8fDXdunWzfq5Xr578/PyUmZlZvg0CUOUxWBpAldG2bVu1bNlSGzZs0IkTJxQRESHp8pij0NBQffbZZ9qwYYOio6OLXYcx5ppq8PLycnvscDiUl5d3TesEUHVxRghAlRIVFaWNGzdq48aNioyMtNojIiL00UcfacuWLcV+LSZJnTp10pYtW9zaCj6uW7eucnNzK7RuANUTQQhAlRIVFaVPP/1U27dvt84ISZeD0BtvvKHz589fNQhNnDhRa9asUWJior755hvNnz9fa9ascVsmJCREBw8e1Pbt2/XTTz8pJyen0rYHQNVGEAJQpURFRencuXNq27atAgICrPaIiAhlZ2erTZs2atWqVbHPv/nmm/Xmm2/qT3/6k7p37661a9fqueeec1vm3nvv1YABAxQVFaVmzZrpnXfeqbTtAVC1Ocy1fqEOAABQTXFGCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2BZBCAAA2Nb/By5LXwOsInLDAAAAAElFTkSuQmCC", + "image/png": 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" ] @@ -911,7 +1042,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.11.5" + "version": "3.11.9" } }, "nbformat": 4, diff --git a/src/qca/utils/algo_utils.py b/src/qca/utils/algo_utils.py index fcc11b4..cfc5f9a 100644 --- a/src/qca/utils/algo_utils.py +++ b/src/qca/utils/algo_utils.py @@ -19,13 +19,14 @@ from pyLIQTR.gate_decomp.cirq_transforms import clifford_plus_t_direct_transform from pyLIQTR.phase_factors.fourier_response.fourier_response import Angler_fourier_response -from qca.utils.utils import circuit_estimate, estimate_cpt_resources +from qca.utils.utils import circuit_estimate, estimate_cpt_resources, EstimateMetaData def estimate_qsp( pyliqtr_hamiltonian: Hamiltonian, evolution_time:float, numsteps:int, energy_precision:float, + metadata: EstimateMetaData, outdir:str, hamiltonian_name:str='hamiltonian', write_circuits:bool=False, @@ -46,10 +47,10 @@ def estimate_qsp( print(f'Time to generate high level QSP circuit: {elapsed} seconds') circuit_estimate( circuit=qsp_circuit, + metadata=metadata, outdir=outdir, numsteps=numsteps, circuit_name=hamiltonian_name, - algo_name='QSP_Step', write_circuits=write_circuits ) return qsp_circuit @@ -94,22 +95,25 @@ def estimate_trotter( openfermion_hamiltonian: QubitOperator, evolution_time: float, energy_precision: float, + metadata: EstimateMetaData, outdir:str, hamiltonian_name:str='hamiltonian', - write_circuits:bool=False + write_circuits:bool=False, + nsteps:int=None ) -> Circuit: if not os.path.exists(outdir): os.makedirs(outdir) - t0 = time.perf_counter() - bounded_error = error_bound(list(openfermion_hamiltonian.get_operators()),tight=False) - nsteps = trotter_steps_required(trotter_error_bound = bounded_error, - time = evolution_time, - energy_precision = energy_precision) - t1 = time.perf_counter() - elapsed = t1 - t0 - print(f'Time to estimate number of trotter steps required ({nsteps}): {elapsed} seconds') + if not nsteps: + t0 = time.perf_counter() + bounded_error = error_bound(list(openfermion_hamiltonian.get_operators()),tight=False) + nsteps = trotter_steps_required(trotter_error_bound = bounded_error, + time = evolution_time, + energy_precision = energy_precision) + t1 = time.perf_counter() + elapsed = t1 - t0 + print(f'Time to estimate number of trotter steps required ({nsteps}): {elapsed} seconds') t0 = time.perf_counter() term_ordering = find_hamiltonian_ordering(openfermion_hamiltonian) @@ -143,11 +147,11 @@ def estimate_trotter( print_to_openqasm(f, cpt_trotter, qubits=cpt_trotter.all_qubits()) estimate_cpt_resources( - cpt_trotter, - outdir, + cpt_circuit=cpt_trotter, + metadata=metadata, + outdir=outdir, is_extrapolated=True, circuit_name=hamiltonian_name, - algo_name='Trotter_Step', trotter_steps=nsteps ) return cpt_trotter diff --git a/src/qca/utils/utils.py b/src/qca/utils/utils.py index c2bfca7..e11c7fa 100644 --- a/src/qca/utils/utils.py +++ b/src/qca/utils/utils.py @@ -3,18 +3,30 @@ import json import time from statistics import median +from dataclasses import dataclass, asdict import pandas as pd import matplotlib.pyplot as plt -from cirq import Circuit, AbstractCircuit +import cirq from pyLIQTR.utils.utils import count_T_gates -from pyLIQTR.utils.qsp_helpers import circuit_decompose_once, print_to_openqasm +from pyLIQTR.utils.qsp_helpers import print_to_openqasm from pyLIQTR.gate_decomp.cirq_transforms import clifford_plus_t_direct_transform -def count_gates(cpt_circuit: AbstractCircuit) -> int: +@dataclass +class EstimateMetaData: + id: str + name: str + category: str + size: str + task: str + implementations: str + value_per_circuit: float + repetitions_per_application: int + +def count_gates(cpt_circuit: cirq.AbstractCircuit) -> int: count = 0 for moment in cpt_circuit: count += len(moment) @@ -24,7 +36,7 @@ def extract_number(string): number = re.findall(r'\d+', string) return int(number[0]) if number else None -def get_T_depth_wire(cpt_circuit: AbstractCircuit): +def get_T_depth_wire(cpt_circuit: cirq.AbstractCircuit): # maximum number of T-gates on a wire. This may be more optimistic than # number of layers with T-gates. Perhaps good to treat as lower bound # for an implementation @@ -44,7 +56,7 @@ def get_T_depth_wire(cpt_circuit: AbstractCircuit): max_depth = count_dict[register] return max_depth -def get_T_width(cpt_circuit: AbstractCircuit) -> list[int]: +def get_T_width(cpt_circuit: cirq.AbstractCircuit) -> list[int]: t_widths = [0] * len(cpt_circuit) for i, moment in enumerate(cpt_circuit): width = 0 @@ -55,19 +67,21 @@ def get_T_width(cpt_circuit: AbstractCircuit) -> list[int]: t_widths[i] = width return t_widths -def plot_T_step_histogram(cpt_circuit:AbstractCircuit, kwargs, lowest_ind:int=0) -> plt.hist: +def plot_T_step_histogram(cpt_circuit: cirq.AbstractCircuit, kwargs, lowest_ind:int=0) -> plt.hist: t_widths = get_T_width(cpt_circuit) bins = range(max(t_widths)) y_label = bins[lowest_ind:-1] histogram = plt.hist(t_widths, y_label, **kwargs) return histogram, median(t_widths) -def plot_histogram(cpt_circuit: AbstractCircuit, - histogram_title:str, - figdir:str, - widthdir:str, - lowest_ind:int=0, - **kwargs) -> None: +def plot_histogram( + cpt_circuit: cirq.AbstractCircuit, + histogram_title:str, + figdir:str, + widthdir:str, + lowest_ind:int=0, + **kwargs + ) -> None: circuit_histogram, median_t_width = plot_T_step_histogram(cpt_circuit, kwargs=kwargs, lowest_ind=lowest_ind) median_t_width_text = f'median T width: {median_t_width}' plt.title(f'{histogram_title} - {median_t_width_text}') @@ -78,7 +92,7 @@ def plot_histogram(cpt_circuit: AbstractCircuit, 'count': circuit_histogram[0]}) df_histogram_trotter_square.to_csv(f'{widthdir}widths_square.csv', sep=',',index=False) -def get_T_depth(cpt_circuit: AbstractCircuit): +def get_T_depth(cpt_circuit: cirq.AbstractCircuit): t_depth = 0 for moment in cpt_circuit: for operator in moment: @@ -88,11 +102,12 @@ def get_T_depth(cpt_circuit: AbstractCircuit): break return t_depth -def gen_resource_estimate(cpt_circuit: AbstractCircuit, - is_extrapolated: bool, - total_steps:int = -1, - circ_occurences:int = -1, - bits_precision:int=1) -> dict: +def gen_resource_estimate( + cpt_circuit: cirq.AbstractCircuit, + is_extrapolated: bool, + total_steps:int = -1, + bits_precision:int=1 + ) -> dict: ''' Given some clifford + T circuit and a given filename, we grab the logical resource estimates from the circuit and then write it to disk. The function also returns the resource dictionary @@ -105,17 +120,15 @@ def gen_resource_estimate(cpt_circuit: AbstractCircuit, gate_count = count_gates(cpt_circuit) t_count = count_T_gates(cpt_circuit) t_depth = get_T_depth(cpt_circuit) - t_depth_single_wire = get_T_depth_wire(cpt_circuit) clifford_count = gate_count - t_count circuit_depth = len(cpt_circuit) resource_estimate = { 'num_qubits': num_qubits, - 'gate_count': gate_count, - 'circuit_depth': circuit_depth, 't_count': t_count, + 'circuit_depth': circuit_depth, + 'gate_count': gate_count, 't_depth': t_depth, - 'max_t_depth_wire': t_depth_single_wire, 'clifford_count': clifford_count, } @@ -129,23 +142,19 @@ def gen_resource_estimate(cpt_circuit: AbstractCircuit, if scaling_factor: resource_estimate['t_depth'] = resource_estimate['t_depth'] * scaling_factor resource_estimate['t_count'] = resource_estimate['t_count'] * scaling_factor - resource_estimate['max_t_depth_wire'] = resource_estimate['max_t_depth_wire'] * scaling_factor resource_estimate['gate_count'] = resource_estimate['gate_count'] * scaling_factor resource_estimate['circuit_depth'] = resource_estimate['circuit_depth'] * scaling_factor resource_estimate['clifford_count'] = resource_estimate['clifford_count'] * scaling_factor - if circ_occurences > 0: - resource_estimate['subcicruit_occurrences'] = circ_occurences - return resource_estimate def estimate_cpt_resources( - cpt_circuit: AbstractCircuit, + cpt_circuit: cirq.AbstractCircuit, + metadata: EstimateMetaData, outdir: str, is_extrapolated:bool, circuit_name:str, - algo_name:str, magnus_steps:int=1, trotter_steps:int=1 ): @@ -153,36 +162,26 @@ def estimate_cpt_resources( os.makedirs(outdir) total_steps = trotter_steps * magnus_steps - resource_estimate = gen_resource_estimate(cpt_circuit=cpt_circuit, - is_extrapolated=is_extrapolated, - total_steps=total_steps) - resource_estimate['circuit_occurences'] = 1 - resource_estimate['subcircuit_info'] = { - f'{algo_name}': { - 'num_qubits': resource_estimate['num_qubits'], - 'gate_count': resource_estimate['gate_count']//total_steps, - 'clifford_count': resource_estimate['clifford_count']//total_steps, - 't_count': resource_estimate['t_count']//total_steps, - 't_depth': resource_estimate['t_depth']//total_steps, - 'max_t_depth_wire': resource_estimate['max_t_depth_wire']//total_steps, - 'circuit_depth': resource_estimate['circuit_depth']//total_steps, - 'subcicruit_occurrences': total_steps, - 'subcircuit_info': {} - } - } - - outfile_data = f'{outdir}{circuit_name}_high_level.json' - re_as_json(resource_estimate, [], outfile_data, '') + re_metadata = asdict(metadata) + re_metadata['Logical_Abstract'] = gen_resource_estimate( + cpt_circuit=cpt_circuit, + is_extrapolated=is_extrapolated, + total_steps=total_steps + ) + resource_estimate = re_metadata + + outfile_data = f'{outdir}{circuit_name}_re.json' + re_as_json(resource_estimate, outfile_data) def circuit_estimate( - circuit:AbstractCircuit, + circuit: cirq.AbstractCircuit, + metadata: EstimateMetaData, outdir: str, numsteps: int, circuit_name: str, - algo_name:str, bits_precision:int=1, write_circuits:bool = False - ) -> AbstractCircuit: + ) -> cirq.AbstractCircuit: if not os.path.exists(outdir): os.makedirs(outdir) @@ -195,11 +194,10 @@ def circuit_estimate( subcircuit_counts[gate_type][0] += 1 else: t0 = time.perf_counter() - decomposed_circuit = circuit_decompose_once(circuit_decompose_once(Circuit(operation))) + decomposed_circuit = cirq.Circuit(cirq.decompose(operation)) t1 = time.perf_counter() decomposed_elapsed = t1-t0 print(f' Time to decompose high level {gate_type_name} circuit: {decomposed_elapsed} seconds ') - t0 = time.perf_counter() cpt_circuit = clifford_plus_t_direct_transform(decomposed_circuit) t1 = time.perf_counter() @@ -214,79 +212,49 @@ def circuit_estimate( print_to_openqasm(f, cpt_circuit, qubits=cpt_circuit.all_qubits()) subcircuit_counts[gate_type] = [1, cpt_circuit, gate_type_name] + total_gate_count = 0 total_gate_depth = 0 total_T_count = 0 total_T_depth = 0 - total_T_depth_wire = 0 total_clifford_count = 0 subcircuit_re = [] for gate in subcircuit_counts: subcircuit = subcircuit_counts[gate][1] subcircuit_name = subcircuit_counts[gate][2] - resource_estimate = gen_resource_estimate(subcircuit, - is_extrapolated=False, - circ_occurences=subcircuit_counts[gate][0], - bits_precision=bits_precision) + resource_estimate = gen_resource_estimate( + subcircuit, + is_extrapolated=False, + bits_precision=bits_precision + ) subcircuit_info = {subcircuit_name:resource_estimate} subcircuit_re.append(subcircuit_info) gate_count = resource_estimate['gate_count'] gate_depth = resource_estimate['circuit_depth'] t_depth = resource_estimate['t_depth'] - t_depth_wire = resource_estimate['max_t_depth_wire'] t_count = resource_estimate['t_count'] clifford_count = resource_estimate['clifford_count'] total_gate_count += subcircuit_counts[gate][0] * gate_count * numsteps total_gate_depth += subcircuit_counts[gate][0] * gate_depth * numsteps total_T_depth += subcircuit_counts[gate][0] * t_depth * numsteps - total_T_depth_wire += subcircuit_counts[gate][0] * t_depth_wire * numsteps total_T_count += subcircuit_counts[gate][0] * t_count * numsteps total_clifford_count += subcircuit_counts[gate][0] * clifford_count * numsteps - - # total_gate_count += subcircuit_counts[gate][0] * gate_count * numsteps * pow(2, bits_precision - 1) - # total_gate_depth += subcircuit_counts[gate][0] * gate_depth * numsteps * pow(2, bits_precision - 1) - # total_T_depth += subcircuit_counts[gate][0] * t_depth * numsteps * pow(2, bits_precision - 1) - # total_T_depth_wire += subcircuit_counts[gate][0] * t_depth_wire * numsteps * pow(2, bits_precision - 1) - # total_T_count += subcircuit_counts[gate][0] * t_count * numsteps * pow(2, bits_precision - 1) - # total_clifford_count += subcircuit_counts[gate][0] * clifford_count * numsteps * pow(2, bits_precision - 1) - - outfile_data = f'{outdir}{circuit_name}_high_level.json' - total_resources = { + re_metadata = asdict(metadata) + re_metadata['Logical_Abstract'] = { 'num_qubits': len(circuit.all_qubits()), - 'gate_count': total_gate_count, - 'circuit_depth': total_gate_depth, 't_count': total_T_count, + 'circuit_depth': total_gate_depth, + 'gate_count': total_gate_count, 't_depth': total_T_depth, - 'max_t_depth_wire': total_T_depth_wire, - 'clifford_count': total_clifford_count, - 'circuit_occurences': 1, - 'subcircuit_info': { - f'{algo_name}': { - 'num_qubits': len(circuit.all_qubits()), - 'gate_count': total_gate_count//numsteps, - 'circuit_depth': total_gate_depth//numsteps, - 't_count': total_T_count//numsteps, - 't_depth': total_T_depth//numsteps, - 'max_t_depth_wire': total_T_depth_wire//numsteps, - 'clifford_count': total_clifford_count//numsteps, - 'circuit_occurences': numsteps, - } - } + 'clifford_count': total_clifford_count } - re_as_json(algo_name=algo_name, - main_estimate=total_resources, - estimates=subcircuit_re, - file_name=outfile_data) + outfile_data = f'{outdir}{circuit_name}_re.json' + re_as_json(re_metadata, outfile_data) -def re_as_json(main_estimate:dict, estimates:list[dict], file_name:str, algo_name:str) -> None: - if estimates: - main_estimate['subcircuit_info'][algo_name]['subcircuit_info'] = {} - for op in estimates: - for op_key in op.keys(): - main_estimate['subcircuit_info'][algo_name]['subcircuit_info'][op_key] = op[op_key] - with open(file_name, 'w') as f: +def re_as_json(main_estimate:dict, outdir:str) -> None: + with open(outdir, 'w') as f: json.dump(main_estimate, f, indent=4, separators=(',', ': ')) From c3cd40a3ca53f9c46dd4b36b92641754ef370f57 Mon Sep 17 00:00:00 2001 From: github-actions <41898282+github-actions[bot]@users.noreply.github.com> Date: Mon, 6 May 2024 18:01:16 +0000 Subject: [PATCH 02/30] Updated pylint badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index b417aef..0ae603e 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -![pylint](https://img.shields.io/badge/PyLint-9.60-yellow?logo=python&logoColor=white) +![pylint](https://img.shields.io/badge/PyLint-9.65-yellow?logo=python&logoColor=white) # Quantum Computing Application Specifications Documentation of Applications for Quantum Computers From 3d9cf2da77a451746e9a28986e949e61cb42a36a Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Mon, 6 May 2024 12:20:03 -0600 Subject: [PATCH 03/30] chemistry utils added --- src/qca/utils/chemistry_utils.py | 226 +++++++++++++++++++++++++++++++ src/qca/utils/utils.py | 17 +-- 2 files changed, 235 insertions(+), 8 deletions(-) create mode 100644 src/qca/utils/chemistry_utils.py diff --git a/src/qca/utils/chemistry_utils.py b/src/qca/utils/chemistry_utils.py new file mode 100644 index 0000000..74f08fa --- /dev/null +++ b/src/qca/utils/chemistry_utils.py @@ -0,0 +1,226 @@ +import re +import sys +import time +import os +from threading import get_native_id + +from dataclasses import dataclass + +import numpy as np + +from openfermionpyscf import run_pyscf +from openfermion.chem import MolecularData +from openfermion.ops.representations import InteractionOperator + +from pyLIQTR.PhaseEstimation.pe import PhaseEstimation + +from qca.utils.utils import circuit_estimate + +@dataclass +class molecular_info: + """Class for keeping track of information for a given state in the molecular orbital basis""" + occupied_qubits: int + unoccupied_qubits: int + initial_state: np.ndarray[int] + hf_energy:float + molecular_hamiltonian: InteractionOperator + +def grab_molecular_phase_offset(hf_energy: float): + E_min = -abs(0.25 * hf_energy) + E_max = 0 + omega = E_max - E_min + t = 2*np.pi/omega + return E_max * t + +def extract_number(string): + number = re.findall(r'\d+', string) + return int(number[0]) if number else None + +def grab_line_info(current_line:str): + multiplicity = 0 + charge = 0 + multiplicity_match = re.search(r"multiplicity\s*=\s*(\d+)", current_line) + if multiplicity_match: + multiplicity = int(multiplicity_match.group(1)) + charge_match = re.search(r"charge\s*=\s*(\d+)", current_line) + if charge_match: + charge = int(charge_match.group(1)) + return multiplicity, charge + +def grab_pathway_info( + data: list[str], + nat:int, + current_line: str, + coord_pathways:list, + current_idx:int + ): + coords_list = [] + multiplicity, charge = grab_line_info(current_line) + coords_list.append([nat, charge, multiplicity]) + for point in range(nat): + data_point = data[current_idx+1+point].split() + aty = data_point[0] + xyz = [float(data_point[i]) for i in range(1,4)] + coords_list.append([aty, xyz]) + coord_pathways.append(coords_list) + +def load_pathway(fname:str, pathway:list[int]) -> list: + ''' + Given some XYZ file and a pathway of interest, grab its charge, + multiplicity, and cartesian coordinates. + ''' + with open(fname, 'r') as f: + coordinates_pathway = [] + data = f.readlines() + data_length = len(data) + idx = 0 + while idx < data_length: + line = data[idx] + if 'charge' in line or 'multiplicity' in line: + geo_name = '' + if len(line.split(',')) > 2: + geo_name = line.split(',')[2] + nat = int(data[idx-1].split()[0]) + if geo_name and pathway: + order = extract_number(geo_name) + if order and order in pathway: + grab_pathway_info(data, nat, line, coordinates_pathway, idx) + else: + grab_pathway_info(data, nat, line, coordinates_pathway, idx) + idx += nat + 2 + else: + idx += 1 + return coordinates_pathway + +def generate_electronic_hamiltonians( + basis: str, + active_space_frac: float, + coordinates_pathway:list, + run_scf:int, + run_mp2:int=0, + run_cisd:int=0, + run_ccsd:int=0, + run_fci:int=0 + ) -> list: + molecular_hamiltonians = [] + for idx, coords in enumerate(coordinates_pathway): + t_coord_start = time.perf_counter() + _, charge, multi = [int(coords[0][j]) for j in range(3)] + + # set molecular geometry in pyscf format + geometry = [] + for coord in coords[1:]: + atom = (coord[0], tuple(coord[1])) + geometry.append(atom) + + molecule = MolecularData( + geometry=geometry, + basis=basis, + multiplicity=multi, + charge=charge, + description='catalyst' + ) + t0 = time.perf_counter() + molecule = run_pyscf( + molecule, + run_scf=run_scf, + run_mp2=run_mp2, + run_cisd=run_cisd, + run_ccsd=run_ccsd, + run_fci=run_fci + ) + t1 = time.perf_counter() + + print(f'Time to perform a HF calculation on molecule {idx} : {t1-t0}') + print(f'Number of orbitals : {molecule.n_orbitals}') + print(f'Number of electrons : {molecule.n_electrons}') + + print(f'Number of qubits : {molecule.n_qubits}') + print(f'Hartree-Fock energy : {molecule.hf_energy}') + sys.stdout.flush() + + nocc = molecule.n_electrons // 2 + nvir = molecule.n_orbitals - nocc + + percent_occupied = nocc/molecule.n_orbitals + percent_unoccupied = nvir/molecule.n_orbitals + + print(f'Number of unoccupied Molecular orbitals are: {nvir}') + print(f'Number of occupied Molecular orbitals are: {nocc}') + sys.stdout.flush() + + # get molecular Hamiltonian + active_space_start = nocc - nocc // active_space_frac # start index of active space + active_space_stop = nocc + nvir // active_space_frac # end index of active space + + print(f'active_space start : {active_space_start}') + print(f'active_space stop : {active_space_stop}') + sys.stdout.flush() + + molecular_hamiltonian = molecule.get_molecular_hamiltonian( + occupied_indices=range(active_space_start), + active_indices=range(active_space_start, active_space_stop) + ) + molecular_occupied = round(percent_occupied*molecular_hamiltonian.n_qubits) + molecular_unoccupied = round(percent_unoccupied*molecular_hamiltonian.n_qubits) + initial_state = [0]*molecular_unoccupied + [1]*molecular_occupied + + + print(f'In the Molecular Orbital Basis: we have {molecular_hamiltonian.n_qubits} qubits') + print(f'In the Molecular Orbital Basis: we have {molecular_occupied} qubits occupied') + print(f'In the Molecular Orbital Basis: we have {molecular_unoccupied} qubits unoccupied') + + # shifted by HF energy + molecular_hamiltonian -= molecule.hf_energy + mi = molecular_info(occupied_qubits=molecular_occupied, + unoccupied_qubits=molecular_unoccupied, + initial_state=initial_state, + hf_energy=molecule.hf_energy, + molecular_hamiltonian=molecular_hamiltonian) + molecular_hamiltonians.append(mi) + t_coord_end = time.perf_counter() + print(f'Time to generate a molecular hamiltonian for molecule {idx} : {t_coord_end-t_coord_start}\n') + return molecular_hamiltonians + +def gsee_molecular_hamiltonian( + fname:str, + gse_args: dict, + trotter_steps: int, + bits_precision: int, + molecular_hamiltonians: list[molecular_info] + ) -> int: + for idx, molecular_hamiltonian_info in enumerate(molecular_hamiltonians): + molecular_hamiltonian = molecular_hamiltonian_info.molecular_hamiltonian + molecular_hf_energy = molecular_hamiltonian_info.hf_energy + + gse_args['mol_ham'] = molecular_hamiltonian + phase_offset = grab_molecular_phase_offset(molecular_hf_energy) + init_state = molecular_hamiltonian_info.initial_state + + t0 = time.perf_counter() + gse_inst = PhaseEstimation( + precision_order=1, + init_state=init_state, + phase_offset=phase_offset, + include_classical_bits=False, + kwargs=gse_args + ) + gse_inst.generate_circuit() + t1 = time.perf_counter() + + print(f'Time to generate a circuit for estimating the GSE for Co2O9H12 {idx}: {t1-t0}') + gse_circuit = gse_inst.pe_circuit + + t0 = time.perf_counter() + circuit_estimate( + circuit=gse_circuit, + outdir='GSE/Quantum_Chemistry/', + numsteps=trotter_steps, + circuit_name=f'Co2O9H12_{idx}_{fname}', + algo_name='GSE_Step', + bits_precision=bits_precision, + write_circuits=False + ) + t1 = time.perf_counter() + print(f'Time to estimate Co2O9H12_step({idx}): {t1-t0}') + return 0 diff --git a/src/qca/utils/utils.py b/src/qca/utils/utils.py index c2bfca7..8d27338 100644 --- a/src/qca/utils/utils.py +++ b/src/qca/utils/utils.py @@ -99,7 +99,7 @@ def gen_resource_estimate(cpt_circuit: AbstractCircuit, if the user needs it. trotter_steps is a flag denoting if the circuit was estimated through trotterization. If so, the - user should specify the number of steps required. + user should specify the number of steps required. ''' num_qubits = len(cpt_circuit.all_qubits()) gate_count = count_gates(cpt_circuit) @@ -125,7 +125,7 @@ def gen_resource_estimate(cpt_circuit: AbstractCircuit, scaling_factor = pow(2, bits_precision - 1) else: scaling_factor = None - + if scaling_factor: resource_estimate['t_depth'] = resource_estimate['t_depth'] * scaling_factor resource_estimate['t_count'] = resource_estimate['t_count'] * scaling_factor @@ -151,7 +151,7 @@ def estimate_cpt_resources( ): if not os.path.exists(outdir): os.makedirs(outdir) - + total_steps = trotter_steps * magnus_steps resource_estimate = gen_resource_estimate(cpt_circuit=cpt_circuit, is_extrapolated=is_extrapolated, @@ -170,7 +170,7 @@ def estimate_cpt_resources( 'subcircuit_info': {} } } - + outfile_data = f'{outdir}{circuit_name}_high_level.json' re_as_json(resource_estimate, [], outfile_data, '') @@ -185,7 +185,7 @@ def circuit_estimate( ) -> AbstractCircuit: if not os.path.exists(outdir): os.makedirs(outdir) - + import cirq subcircuit_counts = {} for moment in circuit: for operation in moment: @@ -197,6 +197,7 @@ def circuit_estimate( t0 = time.perf_counter() decomposed_circuit = circuit_decompose_once(circuit_decompose_once(Circuit(operation))) t1 = time.perf_counter() + decomposed_circuit = Circuit(cirq.decompose(operation)) decomposed_elapsed = t1-t0 print(f' Time to decompose high level {gate_type_name} circuit: {decomposed_elapsed} seconds ') @@ -212,7 +213,7 @@ def circuit_estimate( print_to_openqasm(f, decomposed_circuit, qubits=decomposed_circuit.all_qubits()) with open(outfile_qasm_cpt, 'w', encoding='utf-8') as f: print_to_openqasm(f, cpt_circuit, qubits=cpt_circuit.all_qubits()) - + subcircuit_counts[gate_type] = [1, cpt_circuit, gate_type_name] total_gate_count = 0 total_gate_depth = 0 @@ -237,14 +238,14 @@ def circuit_estimate( t_depth_wire = resource_estimate['max_t_depth_wire'] t_count = resource_estimate['t_count'] clifford_count = resource_estimate['clifford_count'] - + total_gate_count += subcircuit_counts[gate][0] * gate_count * numsteps total_gate_depth += subcircuit_counts[gate][0] * gate_depth * numsteps total_T_depth += subcircuit_counts[gate][0] * t_depth * numsteps total_T_depth_wire += subcircuit_counts[gate][0] * t_depth_wire * numsteps total_T_count += subcircuit_counts[gate][0] * t_count * numsteps total_clifford_count += subcircuit_counts[gate][0] * clifford_count * numsteps - + # total_gate_count += subcircuit_counts[gate][0] * gate_count * numsteps * pow(2, bits_precision - 1) # total_gate_depth += subcircuit_counts[gate][0] * gate_depth * numsteps * pow(2, bits_precision - 1) # total_T_depth += subcircuit_counts[gate][0] * t_depth * numsteps * pow(2, bits_precision - 1) From f940d6135f39c3eebf04d50b0a199507236c0a90 Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Mon, 6 May 2024 12:22:53 -0600 Subject: [PATCH 04/30] adding script for resource generation for quantum chemistry notebook --- AP-RE.py | 102 +++++++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 102 insertions(+) create mode 100644 AP-RE.py diff --git a/AP-RE.py b/AP-RE.py new file mode 100644 index 0000000..ed5bb9f --- /dev/null +++ b/AP-RE.py @@ -0,0 +1,102 @@ +import os +from dataclasses import dataclass +from argparse import ArgumentParser, Namespace +from concurrent.futures import ThreadPoolExecutor, as_completed, ProcessPoolExecutor +from qca.utils.chemistry_utils import load_pathway, generate_electronic_hamiltonians, gsee_molecular_hamiltonian + +@dataclass +class pathway_info: + pathway: list[int] + fname: str + +def grab_arguments() -> Namespace: + parser = ArgumentParser('Perform a sweep over different pathways of varying active spaces') + parser.add_argument( + '-P', + '--processes', + type=int, + help='Number of processes to open up for' + ) + args = parser.parse_args() + return args + +def generate_ap_re( + num_processes:int, + hamiltonians: list, + gsee_args:dict, + trotter_steps:int, + bits_precision: int + ): + results = [] + with ProcessPoolExecutor(max_workers=num_processes) as executor: + for idx, hamiltonian in enumerate(hamiltonians): + future = executor.submit( + gsee_molecular_hamiltonian, + f'pathway_{idx}', gsee_args, trotter_steps, bits_precision, hamiltonian + ) + results.append(future) + for future in as_completed(results): + print(f'completed') + +def grab_molecular_hamiltonians_pool( + num_processes:int, + pathways: list, + basis:str + ) -> list: + active_space = 10 + hamiltonians = [] + results = [] + with ThreadPoolExecutor(max_workers=num_processes) as executor: + for coords in pathways: + future = executor.submit( + generate_electronic_hamiltonians, + basis, active_space, coords, 1 + ) + results.append(future) + for future in as_completed(results): + hamiltonians.append(future.result()) + return hamiltonians + + +if __name__ == '__main__': + pid = os.getpid() + args = grab_arguments() + pathways = [ + pathway_info( + pathway=[27, 1, 14, 15, 16, 24, 25, 26], + fname='water_oxidation_Co2O9H12.xyz' + ), + pathway_info( + pathway=[3, 1, 14, 15, 16, 20, 21, 22, 23], + fname='water_oxidation_Co2O9H12.xyz' + ), + pathway_info( + pathway=[2, 1, 14, 15, 16, 17, 18, 19], + fname='water_oxidation_Co2O9H12.xyz' + ), + pathway_info( + pathway=[5, 10, 28, 29, 30, 31, 32, 33], + fname='water_oxidation_Co2O9H12.xyz' + ) + ] + coords_pathways = [ + load_pathway(pathway.fname, pathway.pathway) for pathway in pathways + ] + molecular_hamiltonians = grab_molecular_hamiltonians_pool( + num_processes=len(pathways), + pathways=coords_pathways, + basis='sto-3g' + ) + gsee_args = { + 'trotterize' : True, + 'ev_time' : 1, + 'trot_ord' : 2, + 'trot_num' : 1 + } + generate_ap_re( + num_processes=len(pathways), + hamiltonians=molecular_hamiltonians, + gsee_args=gsee_args, + trotter_steps=1, + bits_precision=10 + ) From ddaa5410e574ad54b3b66f82ac68d4612d0340ba Mon Sep 17 00:00:00 2001 From: Zachary Alexander Morrell Date: Mon, 6 May 2024 14:48:43 -0600 Subject: [PATCH 05/30] Add support for new output format to HTSC notebook --- ...HighTemperatureSuperConductorExample.ipynb | 135 +++++++++++------- 1 file changed, 82 insertions(+), 53 deletions(-) diff --git a/notebooks/HighTemperatureSuperConductorExample.ipynb b/notebooks/HighTemperatureSuperConductorExample.ipynb index f2f17d9..947ec08 100644 --- a/notebooks/HighTemperatureSuperConductorExample.ipynb +++ b/notebooks/HighTemperatureSuperConductorExample.ipynb @@ -108,7 +108,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": { "tags": [] }, @@ -118,13 +118,13 @@ "output_type": "stream", "text": [ "starting\n", - "One band GSEE time to generate high level Circuit: 7.689720785943791\n" + "One band GSEE time to generate high level Circuit: 7.655850851908326\n" ] } ], "source": [ "trotter_order_one_band = 2\n", - "trotter_steps_one_band = 1\n", + "trotter_steps_one_band = 1 #Using one trotter step for a strict lower bound with this method\n", "\n", "#this scales the circuit depth proportional to 2 ^ bits_precision\n", "bits_precision_one_band = 16\n", @@ -156,7 +156,7 @@ " category='scientific',\n", " size=f'{n}x{n}',\n", " task='Ground State Energy Estimation',\n", - " implementation=f'GSEE, evolution_time={t_one_band}, bits_precision={bits_precision_one_band}, trotter_order={trotter_order_one_band}',\n", + " implementations=f'GSEE, evolution_time={t_one_band}, bits_precision={bits_precision_one_band}, trotter_order={trotter_order_one_band}',\n", " value_per_circuit=value_per_circuit,\n", " repetitions_per_application=repetitions\n", ")\n", @@ -184,7 +184,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { "tags": [] }, @@ -194,17 +194,17 @@ "output_type": "stream", "text": [ "Estimating one_band\n", - " Time to decompose high level Date: Mon, 6 May 2024 15:56:20 -0600 Subject: [PATCH 06/30] fixing chemistry utils for generatig resource estimates appropriately --- AP-RE.py | 15 +++++++++------ src/qca/utils/chemistry_utils.py | 32 +++++++++++++++++++++++--------- 2 files changed, 32 insertions(+), 15 deletions(-) diff --git a/AP-RE.py b/AP-RE.py index ed5bb9f..d0abfc4 100644 --- a/AP-RE.py +++ b/AP-RE.py @@ -12,15 +12,16 @@ class pathway_info: def grab_arguments() -> Namespace: parser = ArgumentParser('Perform a sweep over different pathways of varying active spaces') parser.add_argument( - '-P', - '--processes', + '-A', + '--active_space_reduction', type=int, - help='Number of processes to open up for' + help='Factor to reduce the active space' ) args = parser.parse_args() return args def generate_ap_re( + catalyst_name:str, num_processes:int, hamiltonians: list, gsee_args:dict, @@ -32,25 +33,25 @@ def generate_ap_re( for idx, hamiltonian in enumerate(hamiltonians): future = executor.submit( gsee_molecular_hamiltonian, - f'pathway_{idx}', gsee_args, trotter_steps, bits_precision, hamiltonian + catalyst_name, gsee_args, trotter_steps, bits_precision, hamiltonian ) results.append(future) for future in as_completed(results): print(f'completed') def grab_molecular_hamiltonians_pool( + active_space_reduc:float, num_processes:int, pathways: list, basis:str ) -> list: - active_space = 10 hamiltonians = [] results = [] with ThreadPoolExecutor(max_workers=num_processes) as executor: for coords in pathways: future = executor.submit( generate_electronic_hamiltonians, - basis, active_space, coords, 1 + basis, active_space_reduc, coords, 1 ) results.append(future) for future in as_completed(results): @@ -83,6 +84,7 @@ def grab_molecular_hamiltonians_pool( load_pathway(pathway.fname, pathway.pathway) for pathway in pathways ] molecular_hamiltonians = grab_molecular_hamiltonians_pool( + active_space_reduc=10, num_processes=len(pathways), pathways=coords_pathways, basis='sto-3g' @@ -94,6 +96,7 @@ def grab_molecular_hamiltonians_pool( 'trot_num' : 1 } generate_ap_re( + catalyst_name='Co2O9H12', num_processes=len(pathways), hamiltonians=molecular_hamiltonians, gsee_args=gsee_args, diff --git a/src/qca/utils/chemistry_utils.py b/src/qca/utils/chemistry_utils.py index 74f08fa..725ab16 100644 --- a/src/qca/utils/chemistry_utils.py +++ b/src/qca/utils/chemistry_utils.py @@ -1,9 +1,6 @@ import re import sys import time -import os -from threading import get_native_id - from dataclasses import dataclass import numpy as np @@ -14,8 +11,8 @@ from pyLIQTR.PhaseEstimation.pe import PhaseEstimation -from qca.utils.utils import circuit_estimate - +from qca.utils.utils import circuit_estimate, EstimateMetaData +import random @dataclass class molecular_info: """Class for keeping track of information for a given state in the molecular orbital basis""" @@ -23,6 +20,7 @@ class molecular_info: unoccupied_qubits: int initial_state: np.ndarray[int] hf_energy:float + active_space_reduction:float molecular_hamiltonian: InteractionOperator def grab_molecular_phase_offset(hf_energy: float): @@ -165,7 +163,6 @@ def generate_electronic_hamiltonians( molecular_unoccupied = round(percent_unoccupied*molecular_hamiltonian.n_qubits) initial_state = [0]*molecular_unoccupied + [1]*molecular_occupied - print(f'In the Molecular Orbital Basis: we have {molecular_hamiltonian.n_qubits} qubits') print(f'In the Molecular Orbital Basis: we have {molecular_occupied} qubits occupied') print(f'In the Molecular Orbital Basis: we have {molecular_unoccupied} qubits unoccupied') @@ -176,6 +173,7 @@ def generate_electronic_hamiltonians( unoccupied_qubits=molecular_unoccupied, initial_state=initial_state, hf_energy=molecule.hf_energy, + active_space_reduction=active_space_frac, molecular_hamiltonian=molecular_hamiltonian) molecular_hamiltonians.append(mi) t_coord_end = time.perf_counter() @@ -183,20 +181,36 @@ def generate_electronic_hamiltonians( return molecular_hamiltonians def gsee_molecular_hamiltonian( - fname:str, + catalyst_name:str, gse_args: dict, trotter_steps: int, bits_precision: int, molecular_hamiltonians: list[molecular_info] ) -> int: + # random generation of uid + uid = int(random.random() % len(molecular_hamiltonian))*1000 for idx, molecular_hamiltonian_info in enumerate(molecular_hamiltonians): + molecular_hamiltonian = molecular_hamiltonian_info.molecular_hamiltonian molecular_hf_energy = molecular_hamiltonian_info.hf_energy + active_space_frac = molecular_hamiltonian.active_space_reduction gse_args['mol_ham'] = molecular_hamiltonian phase_offset = grab_molecular_phase_offset(molecular_hf_energy) init_state = molecular_hamiltonian_info.initial_state + molecular_metadata = EstimateMetaData( + id = uid, + name=f'{catalyst_name}_{idx}', + category='scientific', + size=f'{molecular_hamiltonian.n_qubits}', + task='Ground State Energy Estimation', + implementations=f'trotterization subprocess, active_space_reduction={active_space_frac}, bits_precision={bits_precision}', + value_per_circuit=6000, + repetitions_per_application=100 + ) + uid += 1 + t0 = time.perf_counter() gse_inst = PhaseEstimation( precision_order=1, @@ -214,10 +228,10 @@ def gsee_molecular_hamiltonian( t0 = time.perf_counter() circuit_estimate( circuit=gse_circuit, + metadata=molecular_metadata, outdir='GSE/Quantum_Chemistry/', numsteps=trotter_steps, - circuit_name=f'Co2O9H12_{idx}_{fname}', - algo_name='GSE_Step', + circuit_name=f'{catalyst_name}_{idx}_active_space{active_space_frac}', bits_precision=bits_precision, write_circuits=False ) From d4f2569bc5241e7e4e63d34793afa38d1e1b9076 Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Tue, 7 May 2024 10:19:59 -0600 Subject: [PATCH 07/30] modified molecular_info to keep track of more information for the json schema --- src/qca/utils/chemistry_utils.py | 30 +++++++++++++++--------------- src/qca/utils/utils.py | 1 + 2 files changed, 16 insertions(+), 15 deletions(-) diff --git a/src/qca/utils/chemistry_utils.py b/src/qca/utils/chemistry_utils.py index 725ab16..7c5951d 100644 --- a/src/qca/utils/chemistry_utils.py +++ b/src/qca/utils/chemistry_utils.py @@ -16,6 +16,7 @@ @dataclass class molecular_info: """Class for keeping track of information for a given state in the molecular orbital basis""" + basis: str occupied_qubits: int unoccupied_qubits: int initial_state: np.ndarray[int] @@ -169,12 +170,15 @@ def generate_electronic_hamiltonians( # shifted by HF energy molecular_hamiltonian -= molecule.hf_energy - mi = molecular_info(occupied_qubits=molecular_occupied, - unoccupied_qubits=molecular_unoccupied, - initial_state=initial_state, - hf_energy=molecule.hf_energy, - active_space_reduction=active_space_frac, - molecular_hamiltonian=molecular_hamiltonian) + mi = molecular_info( + basis=basis, + occupied_qubits=molecular_occupied, + unoccupied_qubits=molecular_unoccupied, + initial_state=initial_state, + hf_energy=molecule.hf_energy, + active_space_reduction=active_space_frac, + molecular_hamiltonian=molecular_hamiltonian + ) molecular_hamiltonians.append(mi) t_coord_end = time.perf_counter() print(f'Time to generate a molecular hamiltonian for molecule {idx} : {t_coord_end-t_coord_start}\n') @@ -187,25 +191,22 @@ def gsee_molecular_hamiltonian( bits_precision: int, molecular_hamiltonians: list[molecular_info] ) -> int: - # random generation of uid - uid = int(random.random() % len(molecular_hamiltonian))*1000 + uid = int(random.random() % len(molecular_hamiltonians))*1000 for idx, molecular_hamiltonian_info in enumerate(molecular_hamiltonians): - molecular_hamiltonian = molecular_hamiltonian_info.molecular_hamiltonian molecular_hf_energy = molecular_hamiltonian_info.hf_energy - active_space_frac = molecular_hamiltonian.active_space_reduction - + active_space_frac = molecular_hamiltonian_info.active_space_reduction + basis = molecular_hamiltonian_info.basis gse_args['mol_ham'] = molecular_hamiltonian phase_offset = grab_molecular_phase_offset(molecular_hf_energy) init_state = molecular_hamiltonian_info.initial_state - molecular_metadata = EstimateMetaData( id = uid, - name=f'{catalyst_name}_{idx}', + name=f'{catalyst_name}_molecule({idx})', category='scientific', size=f'{molecular_hamiltonian.n_qubits}', task='Ground State Energy Estimation', - implementations=f'trotterization subprocess, active_space_reduction={active_space_frac}, bits_precision={bits_precision}', + implementations=f'trotterization subprocess, basis={basis}, active_space_reduction={active_space_frac}, bits_precision={bits_precision}', value_per_circuit=6000, repetitions_per_application=100 ) @@ -237,4 +238,3 @@ def gsee_molecular_hamiltonian( ) t1 = time.perf_counter() print(f'Time to estimate Co2O9H12_step({idx}): {t1-t0}') - return 0 diff --git a/src/qca/utils/utils.py b/src/qca/utils/utils.py index fac0f9b..8e3fc56 100644 --- a/src/qca/utils/utils.py +++ b/src/qca/utils/utils.py @@ -184,6 +184,7 @@ def circuit_estimate( ) -> cirq.AbstractCircuit: if not os.path.exists(outdir): os.makedirs(outdir) + subcircuit_counts = {} for moment in circuit: for operation in moment: From 06fa5c803df2f299439cd41f4722065bca70605d Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Tue, 7 May 2024 11:16:36 -0600 Subject: [PATCH 08/30] removed unnecessary file --- AP-RE.py | 105 ------------------------------------------------------- 1 file changed, 105 deletions(-) delete mode 100644 AP-RE.py diff --git a/AP-RE.py b/AP-RE.py deleted file mode 100644 index d0abfc4..0000000 --- a/AP-RE.py +++ /dev/null @@ -1,105 +0,0 @@ -import os -from dataclasses import dataclass -from argparse import ArgumentParser, Namespace -from concurrent.futures import ThreadPoolExecutor, as_completed, ProcessPoolExecutor -from qca.utils.chemistry_utils import load_pathway, generate_electronic_hamiltonians, gsee_molecular_hamiltonian - -@dataclass -class pathway_info: - pathway: list[int] - fname: str - -def grab_arguments() -> Namespace: - parser = ArgumentParser('Perform a sweep over different pathways of varying active spaces') - parser.add_argument( - '-A', - '--active_space_reduction', - type=int, - help='Factor to reduce the active space' - ) - args = parser.parse_args() - return args - -def generate_ap_re( - catalyst_name:str, - num_processes:int, - hamiltonians: list, - gsee_args:dict, - trotter_steps:int, - bits_precision: int - ): - results = [] - with ProcessPoolExecutor(max_workers=num_processes) as executor: - for idx, hamiltonian in enumerate(hamiltonians): - future = executor.submit( - gsee_molecular_hamiltonian, - catalyst_name, gsee_args, trotter_steps, bits_precision, hamiltonian - ) - results.append(future) - for future in as_completed(results): - print(f'completed') - -def grab_molecular_hamiltonians_pool( - active_space_reduc:float, - num_processes:int, - pathways: list, - basis:str - ) -> list: - hamiltonians = [] - results = [] - with ThreadPoolExecutor(max_workers=num_processes) as executor: - for coords in pathways: - future = executor.submit( - generate_electronic_hamiltonians, - basis, active_space_reduc, coords, 1 - ) - results.append(future) - for future in as_completed(results): - hamiltonians.append(future.result()) - return hamiltonians - - -if __name__ == '__main__': - pid = os.getpid() - args = grab_arguments() - pathways = [ - pathway_info( - pathway=[27, 1, 14, 15, 16, 24, 25, 26], - fname='water_oxidation_Co2O9H12.xyz' - ), - pathway_info( - pathway=[3, 1, 14, 15, 16, 20, 21, 22, 23], - fname='water_oxidation_Co2O9H12.xyz' - ), - pathway_info( - pathway=[2, 1, 14, 15, 16, 17, 18, 19], - fname='water_oxidation_Co2O9H12.xyz' - ), - pathway_info( - pathway=[5, 10, 28, 29, 30, 31, 32, 33], - fname='water_oxidation_Co2O9H12.xyz' - ) - ] - coords_pathways = [ - load_pathway(pathway.fname, pathway.pathway) for pathway in pathways - ] - molecular_hamiltonians = grab_molecular_hamiltonians_pool( - active_space_reduc=10, - num_processes=len(pathways), - pathways=coords_pathways, - basis='sto-3g' - ) - gsee_args = { - 'trotterize' : True, - 'ev_time' : 1, - 'trot_ord' : 2, - 'trot_num' : 1 - } - generate_ap_re( - catalyst_name='Co2O9H12', - num_processes=len(pathways), - hamiltonians=molecular_hamiltonians, - gsee_args=gsee_args, - trotter_steps=1, - bits_precision=10 - ) From 767853b64c977b87096f599ba5085ef02b2874b7 Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Wed, 8 May 2024 09:05:41 -0600 Subject: [PATCH 09/30] added scripts directory --- scripts/AP-RE.py | 111 +++++++++++++++++ scripts/RuCl-RE.py | 292 +++++++++++++++++++++++++++++++++++++++++++++ 2 files changed, 403 insertions(+) create mode 100644 scripts/AP-RE.py create mode 100644 scripts/RuCl-RE.py diff --git a/scripts/AP-RE.py b/scripts/AP-RE.py new file mode 100644 index 0000000..8d1b87c --- /dev/null +++ b/scripts/AP-RE.py @@ -0,0 +1,111 @@ +import os +from dataclasses import dataclass +from argparse import ArgumentParser, Namespace +from concurrent.futures import ThreadPoolExecutor, as_completed, ProcessPoolExecutor +from qca.utils.chemistry_utils import load_pathway, generate_electronic_hamiltonians, gsee_molecular_hamiltonian + +@dataclass +class pathway_info: + pathway: list[int] + fname: str + +def grab_arguments() -> Namespace: + parser = ArgumentParser('Perform a sweep over different pathways of varying active spaces') + parser.add_argument( + '-A', + '--active_space_reduction', + type=int, + help='Factor to reduce the active space', + default=10 + ) + args = parser.parse_args() + return args + +def generate_ap_re( + catalyst_name:str, + num_processes:int, + hamiltonians: list, + gsee_args:dict, + trotter_steps:int, + bits_precision: int + ): + results = [] + with ProcessPoolExecutor(max_workers=num_processes) as executor: + for idx, hamiltonian in enumerate(hamiltonians): + future = executor.submit( + gsee_molecular_hamiltonian, + f'pathway({idx})_{catalyst_name}', + gsee_args, + trotter_steps, + bits_precision, + hamiltonian + ) + results.append(future) + for future in as_completed(results): + print(f'completed') + +def grab_molecular_hamiltonians_pool( + active_space_reduc:float, + num_processes:int, + pathways: list, + basis:str + ) -> list: + hamiltonians = [] + results = [] + with ThreadPoolExecutor(max_workers=num_processes) as executor: + for coords in pathways: + future = executor.submit( + generate_electronic_hamiltonians, + basis, active_space_reduc, coords, 1 + ) + results.append(future) + for future in as_completed(results): + hamiltonians.append(future.result()) + return hamiltonians + + +if __name__ == '__main__': + pid = os.getpid() + args = grab_arguments() + active_space_reduc = args.active_space_reduction + pathways = [ + pathway_info( + pathway=[27, 1, 14, 15, 16, 24, 25, 26], + fname='water_oxidation_Co2O9H12.xyz' + ), + pathway_info( + pathway=[3, 1, 14, 15, 16, 20, 21, 22, 23], + fname='water_oxidation_Co2O9H12.xyz' + ), + pathway_info( + pathway=[2, 1, 14, 15, 16, 17, 18, 19], + fname='water_oxidation_Co2O9H12.xyz' + ), + pathway_info( + pathway=[5, 10, 28, 29, 30, 31, 32, 33], + fname='water_oxidation_Co2O9H12.xyz' + ) + ] + coords_pathways = [ + load_pathway(pathway.fname, pathway.pathway) for pathway in pathways + ] + molecular_hamiltonians = grab_molecular_hamiltonians_pool( + active_space_reduc=active_space_reduc, + num_processes=len(pathways), + pathways=coords_pathways, + basis='sto-3g' + ) + gsee_args = { + 'trotterize' : True, + 'ev_time' : 1, + 'trot_ord' : 2, + 'trot_num' : 1 + } + generate_ap_re( + catalyst_name='Co2O9H12', + num_processes=len(pathways), + hamiltonians=molecular_hamiltonians, + gsee_args=gsee_args, + trotter_steps=1, + bits_precision=10 + ) diff --git a/scripts/RuCl-RE.py b/scripts/RuCl-RE.py new file mode 100644 index 0000000..a596f72 --- /dev/null +++ b/scripts/RuCl-RE.py @@ -0,0 +1,292 @@ +import os +import cirq +import numpy as np +from math import sqrt +import networkx as nx +from networkx import Graph +from pandas import DataFrame +from networkx.generators.lattice import hexagonal_lattice_graph +from qca.utils.utils import EstimateMetaData +from qca.utils.algo_utils import estimate_trotter, estimate_qsp +from qca.utils.hamiltonian_utils import ( + flatten_nx_graph, + assign_hexagon_labels, + pyliqtr_hamiltonian_to_openfermion_qubit_operator, +) +from pyLIQTR.utils.Hamiltonian import Hamiltonian as pyH + +def nx_rucl_terms(g, data_series): + H = [] + n = len(g.nodes) + for (n1,n2,d) in g.edges(data=True): + label = d['label'][0] + distance = int(d['label'][1]) + + #Heisenberg and Kitaev terms + if distance == 1: + weight_J = data_series.J1 + elif distance == 2: + weight_J = data_series.J2 + else: + weight_J = data_series.J3 + + if distance == 1: + weight_K = data_series.K1 + elif distance == 2: + weight_K = data_series.K2 + else: + weight_K = data_series.K3 + + if not (weight_J == 0 and weight_K == 0): + string_x = n*'I' + string_y = n*'I' + string_z = n*'I' + + weight_x = weight_J + weight_y = weight_J + weight_z = weight_J + for i in [n1,n2]: + string_x = string_x[:i] + 'X' + string_x[i+1:] + string_y = string_y[:i] + 'Y' + string_y[i+1:] + string_z = string_z[:i] + 'Z' + string_z[i+1:] + if label == 'X': + weight_x += weight_K + elif label == 'Y': + weight_y += weight_K + else: + weight_z += weight_K + if weight_x != 0: + H.append((string_x, weight_x)) + if weight_y != 0: + H.append((string_y, weight_y)) + if weight_z != 0: + H.append((string_z, weight_z)) + + #Gamma Terms + if distance == 1 and data_series.Gam1 != 0: + string_gam1_1 = n*'I' + string_gam1_2 = n*'I' + #unwrapping loop since there is no ordering guarantee + labels=['X', 'Y', 'Z'] + labels.remove(label) + l1,l2 = labels + string_gam1_1 = string_gam1_1[:n1] + l1 + string_gam1_1[n1+1:] + string_gam1_1 = string_gam1_1[:n2] + l2 + string_gam1_1[n2+1:] + + string_gam1_2 = string_gam1_2[:n1] + l2 + string_gam1_2[n1+1:] + string_gam1_2 = string_gam1_2[:n2] + l1 + string_gam1_2[n2+1:] + + H.append((string_gam1_1, data_series.Gam1)) + H.append((string_gam1_2, data_series.Gam1)) + + #Gamma' Terms + if distance == 1 and data_series.Gam_prime1 != 0: + #unwrapping inner loop since there is no ordering guarantee + labels=['X', 'Y', 'Z'] + labels.remove(label) + for label_offset in labels: + string_gam1_1 = n*'I' + string_gam1_2 = n*'I' + l1 = label + l2 = label_offset + + string_gam1_1 = string_gam1_1[:n1] + l1 + string_gam1_1[n1+1:] + string_gam1_1 = string_gam1_1[:n2] + l2 + string_gam1_1[n2+1:] + string_gam1_2 = string_gam1_2[:n1] + l2 + string_gam1_2[n1+1:] + string_gam1_2 = string_gam1_2[:n2] + l1 + string_gam1_2[n2+1:] + H.append((string_gam1_1, data_series.Gam_prime1)) + return H + + +def generate_time_varying_terms(g, s, x = lambda s: 0, y = lambda s: 0, z = lambda s: 0): + assert callable(x) + assert callable(y) + assert callable(z) + + weight_x, weight_y, weight_z = x(s), y(s), z(s) + n = len(g) + H = [] + if not (weight_x == 0): + for node in g.nodes: + string_x = n*'I' + string_x = string_x[:node] + 'X' + string_x[node+1:] + H.append((string_x, weight_x)) + if not (weight_y == 0): + for node in g.nodes: + string_y = n*'I' + string_y = string_y[:node] + 'Y' + string_y[node+1:] + H.append((string_y, weight_y)) + if not (weight_z == 0): + for node in g.nodes: + string_z = n*'I' + string_z = string_z[:node] + 'Z' + string_z[node+1:] + H.append((string_z, weight_z)) + return H + + +def assign_hexagon_labels_rucl(g): + assign_hexagon_labels(g, 'X1', 'Y1', 'Z1') + + # Adding next nearest and next-next nearest neighbor edges and labels + for n in g.nodes: + r,c = n + + #next nearest neighbors + if (r, c+2) in g: + g.add_edge(n, (r, c+2), label = 'Z2') + if (r+1, c+1) in g: + g.add_edge(n, (r+1, c+1), label = "Y2") + if (r-1, c+1) in g: + g.add_edge(n, (r-1, c+1), label = "X2") + + #next-next nearest neighbors + if (r+1, c) in g and not ((n, (r+1, c)) in g.edges): + g.add_edge(n, (r+1,c), label = "Z3") + if (r+1, c+2) in g and (r + c)%2 == 0: + g.add_edge(n, (r+1, c+2), label="X3") + if (r-1, c+2) in g and (r + c)%2 == 1: + g.add_edge(n, (r-1, c+2), label="Y3") + +def generate_rucl_hamiltonian(lattice_size, data_series, s=0, field_x=lambda s: 0, field_y=lambda s: 0, field_z=lambda s: 0): + g = hexagonal_lattice_graph(lattice_size,lattice_size) + assign_hexagon_labels_rucl(g) + g = flatten_nx_graph(g) + H_constant = nx_rucl_terms(g, data_series) + H_time_varied = generate_time_varying_terms(g, s, x=field_x, y = field_y, z = field_z) + H = H_constant + H_time_varied + return H + +def assign_spin_labels_rucl(lattice_size:int) -> Graph: + g = hexagonal_lattice_graph(lattice_size, lattice_size) + spin_labels = dict([(node, pow(-1, node[0])) for node in g]) + nx.set_node_attributes(g, spin_labels, name='spin') + return g + +def prepare_initial_state_rucl(g:Graph) -> cirq.Circuit: + flattened_graph = flatten_nx_graph(g) + spins = nx.get_node_attributes(flattened_graph, 'spins') + qubits = [cirq.LineQubit(i) for i in flattened_graph.nodes] + + # generating layers of operations to initialize state + layer_zig_zag = [cirq.X(qubits[i]) for i in range(len(g)) if spins[i] == -1] + layer_rz = [cirq.Rz(rads = np.pi/4).on(qubit) for qubit in qubits] + layer_rx = [cirq.Rx(rads = np.pi/4).on(qubit) for qubit in qubits] + layer_z = [cirq.Z(qubit) for qubit in qubits] + layer_rx_neg = [cirq.Rx(rads=-np.pi/4).on(qubit) for qubit in qubits] + layer_rz_neg = [cirq.Rz(rads=-np.pi/4).on(qubit) for qubit in qubits] + + # appending layers to a circuit to return + circuit = cirq.Circuit() + circuit.append(layer_zig_zag) + circuit.append(layer_rz) + circuit.append(layer_rx) + circuit.append(layer_z) + circuit.append(layer_rx_neg) + circuit.append(layer_rz_neg) + return circuit + + +def generate_rucl_re( + energy_precision:float, + lattice_size_range: list[int], + evolution_time:float, + df_rucl:DataFrame, + outdir:str) -> None: + if not os.path.exists(outdir): + os.makedirs(outdir) + repetitions = 140 * 15 + total_value = 2500000 + value_per_circuit = total_value/repetitions + uid_count = 1000 + for rucl_idx in range(len(df_rucl)): + for lattice_size in lattice_size_range: + H_rucl = generate_rucl_hamiltonian( + lattice_size, + df_rucl.iloc[rucl_idx], + field_x = lambda s: 1/sqrt(6)/2, + field_y = lambda s: 1/sqrt(6)/2, + field_z = lambda s: -2/sqrt(6)/2 + ) + H_rucl_pyliqtr = pyH(H_rucl) + openfermion_hamiltonian_rucl = pyliqtr_hamiltonian_to_openfermion_qubit_operator(H_rucl_pyliqtr) + nsteps = 1500000 + metadata = EstimateMetaData( + id=f'{uid_count}', + name=f'RuCl_row_{rucl_idx}', + category='scientific', + size=f'lattice_size: {lattice_size}', + task='Time-Dependent Dynamics', + implementations='trotterization, JT=1000, gate_synth_accuracy=1e-10, numsteps=1500000, energy_precision=1e-3', + value_per_circuit=value_per_circuit, + repetitions_per_application=repetitions + ) + estimate_trotter( + openfermion_hamiltonian=openfermion_hamiltonian_rucl, + evolution_time=evolution_time, + energy_precision=energy_precision, + metadata=metadata, + outdir=outdir, + hamiltonian_name=f'trotter_rucl_size_{lattice_size}_row_{rucl_idx}', + nsteps=nsteps + ) + uid_count += 1 + metadata.implementations='QSP, JT=1000, gate_synth_accuracy=1e-10, numsteps=1500000, energy_precision=1e-3' + metadata.id = f'{uid_count}' + estimate_qsp( + pyliqtr_hamiltonian=H_rucl_pyliqtr, + evolution_time=evolution_time, + numsteps=nsteps, + energy_precision=energy_precision, + metadata=metadata, + outdir=outdir, + hamiltonian_name=f'qsp_rucl_size_{lattice_size}_row_{rucl_idx}', + write_circuits=True + ) + uid_count += 1 + +def rucl_estimate(): + rucl_references = ["Winter et al. PRB", "Winter et al. NC", "Wu et al.", "Cookmeyer and Moore", "Kim and Kee", "Suzuki and Suga", + "Yadav et al.", "Ran et al.", "Hou et al.", "Wang et al.", "Eichstaedt et al.", "Eichstaedt et al.", + "Eichstaedt et al.", "Banerjee et al.", "Kim et al.", "Kim and Kee", "Winter et al.", "Ozel et al.", "Ozel et al."] + print(len(rucl_references)) + raise ValueError + + rucl_methods = ["Ab initio (DFT + exact diag.)", "Ab initio-inspired (INS fit)", "THz spectroscopy fit", + "Magnon thermal Hall (sign)", "DFT + t=U expansion", "Magnetic specific heat", "Quantum chemistry (MRCI)", + "Spin wave fit to INS gap", "Constrained DFT + U", "DFT + t=U expansion", "Fully ab initio (DFT + cRPA + t=U)", + "Neglecting non-local Coulomb", "Neglecting non-local SOC", "Spin wave fit", "DFT + t=U expansion", + "DFT + t=U expansion", "Ab initio (DFT + exact diag.)", "Spin wave fit/THz spectroscopy", "Spin wave fit/THz spectroscopy"] + + rucl_J1 = [-1.7, -0.5, -0.35, -0.5, -1.53, -1.53, 1.2, 0, -1.87, -0.3, -1.4, -0.2, -1.3, -4.6, -12, -3.5, -5.5, -0.95, 0.46] + rucl_K1 = [-6.7, -5.0, -2.8, -5.0, -6.55, -24.4, -5.6, -6.8, -10.7, -10.9, -14.3, -4.5, -13.3, 7.0, 17., 4.6, 7.6, 1.15, -3.5] + rucl_Gam1 = [6.6, 2.5, 2.4, 2.5, 5.25, 5.25, 1.2, 9.5, 3.8, 6.1, 9.8, 3.0, 9.4, 0, 12., 6.42, 8.4, 3.8, 2.35] + rucl_Gam_prime1 = [-0.9, 0, 0, 0, -0.95, -0.95, -0.7, 0, 0, 0, -2.23, -0.73, -2.3, 0, 0, -0.04, 0.2, 0, 0] + rucl_J2 = [0, 0, 0, 0, 0, 0, 0.25, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0] + rucl_K2 = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -0.63, -0.33, -0.67, 0, 0, 0, 0, 0, 0] + rucl_J3 = [2.7, 0.5, 0.34, 0.1125, 0, 0, 0.25, 0, 1.27, 0.03, 1.0, 0.7, 1.0, 0, 0, 0, 2.3, 0, 0] + rucl_K3 = [0, 0, 0, 0, 0, 0, 0, 0, 0.63, 0, 0.03, 0.1, 0.1, 0, 0, 0, 0, 0, 0] + + d_rucl = { + 'reference': rucl_references, + 'method': rucl_methods, + 'J1': rucl_J1, + 'K1': rucl_K1, + 'Gam1': rucl_Gam1, + 'Gam_prime1': rucl_Gam_prime1, + 'J2': rucl_J2, + 'K2': rucl_K2, + 'J3': rucl_J3, + 'K3': rucl_K3} + + df_rucl = DataFrame(d_rucl) + re_dir = 'temp_RE/' + generate_rucl_re( + energy_precision=1e-3, + lattice_size_range=[4,6,8,12,16,24,32], + evolution_time=1000, + df_rucl=df_rucl, + outdir=re_dir + ) + +if __name__ == '__main__': + rucl_estimate() From 5fd5d96a2381b869fe9d0c2c8190404ee09beb8b Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Wed, 8 May 2024 09:26:19 -0600 Subject: [PATCH 10/30] added estimatemetadata for rucl notebook --- notebooks/RuClExample.ipynb | 38 +++++++++++++++++++++++++++++++++---- 1 file changed, 34 insertions(+), 4 deletions(-) diff --git a/notebooks/RuClExample.ipynb b/notebooks/RuClExample.ipynb index 04971dd..0fa677e 100644 --- a/notebooks/RuClExample.ipynb +++ b/notebooks/RuClExample.ipynb @@ -49,6 +49,7 @@ "source": [ "import os\n", "import time\n", + "import hashlib\n", "import pandas as pd\n", "import numpy as np\n", "from math import sqrt\n", @@ -62,7 +63,7 @@ "from qca.utils.algo_utils import estimate_qsp, estimate_trotter\n", "from pyLIQTR.gate_decomp.cirq_transforms import clifford_plus_t_direct_transform\n", "\n", - "from qca.utils.utils import plot_histogram, gen_resource_estimate, re_as_json\n", + "from qca.utils.utils import plot_histogram, gen_resource_estimate, re_as_json, EstimateMetaData\n", "from qca.utils.hamiltonian_utils import flatten_nx_graph, assign_hexagon_labels, pyliqtr_hamiltonian_to_openfermion_qubit_operator" ] }, @@ -1002,12 +1003,27 @@ " H_rucl_pyliqtr = pyH(H_rucl)\n", " openfermion_hamiltonian_rucl = pyliqtr_hamiltonian_to_openfermion_qubit_operator(H_rucl_pyliqtr)\n", " \n", + " rucl_name = f'Rucl_row_{i}_trotter'\n", + " hash_uid = hashlib.sha256(rucl_name.encode('utf-8'))\n", + " uid = hash_uid.hexdigest()\n", + " trotter_metadata = EstimateMetaData(\n", + " id = uid,\n", + " name=rucl_name,\n", + " category='scientific',\n", + " size=f'lattice_size: 32',\n", + " task='Time-Dependent Dynamics',\n", + " implementations=f'trotterization, JT={evolution_time}, gate_synth_accuracy=1e-10, energy_precision={energy_precision}',\n", + " value_per_circuit=939.8496240601503,\n", + " repetitions_per_application=140\n", + " )\n", + "\n", " print(f'Estimating RuCl row {i} using Trotterization')\n", " t0 = time.perf_counter()\n", " cpt_trotter_rucl = estimate_trotter(\n", " openfermion_hamiltonian=openfermion_hamiltonian_rucl,\n", " evolution_time=evolution_time,\n", " energy_precision=energy_precision,\n", + " metadata=trotter_metadata,\n", " outdir='Trotter/RuCl_circuits/',\n", " hamiltonian_name=f'rucl_trotter_{i}',\n", " write_circuits=True\n", @@ -1097,6 +1113,20 @@ " H_rucl = generate_rucl_hamiltonian(32, df_rucl.iloc[i], field_x=lambda s: 1/sqrt(6), field_y=lambda s: 1/sqrt(6), field_z=lambda s: -2/sqrt(6))\n", " H_rucl_pyliqtr = pyH(H_rucl)\n", " \n", + " rucl_name = f'Rucl_row_{i}_qsp'\n", + " hash_uid = hashlib.sha256(rucl_name.encode('utf-8'))\n", + " uid = hash_uid.hexdigest()\n", + " qsp_metadata = EstimateMetaData(\n", + " id=uid,\n", + " name=rucl_name,\n", + " category='scientific',\n", + " size=f'lattice_size: 32',\n", + " task='Time-Dependent Dynamics',\n", + " implementations='QSP, JT={evolution_time}, gate_synth_accuracy=1e-10, energy_precision={energy_precision}',\n", + " value_per_circuit=939.8496240601503,\n", + " repetitions_per_application=140\n", + " )\n", + " \n", " print(f'Estimating RuCl row {i} using QSP')\n", " t0 = time.perf_counter()\n", " # change to Clifford+T dictionary in future revision\n", @@ -1286,9 +1316,9 @@ ], "metadata": { "kernelspec": { - "display_name": "venv_3.10.14", + "display_name": "other_qca", "language": "python", - "name": "venv_3.10.14" + "name": "python3" }, "language_info": { "codemirror_mode": { @@ -1300,7 +1330,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.14" + "version": "3.11.9" } }, "nbformat": 4, From 3b33cfa80f9a17133e1143f0d85a6b18d5594135 Mon Sep 17 00:00:00 2001 From: github-actions <41898282+github-actions[bot]@users.noreply.github.com> Date: Wed, 8 May 2024 15:27:56 +0000 Subject: [PATCH 11/30] Updated pylint badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 0ae603e..0582175 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -![pylint](https://img.shields.io/badge/PyLint-9.65-yellow?logo=python&logoColor=white) +![pylint](https://img.shields.io/badge/PyLint-9.56-yellow?logo=python&logoColor=white) # Quantum Computing Application Specifications Documentation of Applications for Quantum Computers From 53afcb437420f1c02468aeee0a1e5d7dbc3e6630 Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Wed, 8 May 2024 09:29:40 -0600 Subject: [PATCH 12/30] fixed test cases to remove a key that no longer appears in resource estimates --- tests/utils_test.py | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/tests/utils_test.py b/tests/utils_test.py index 9f9b9e0..f3dd3c1 100644 --- a/tests/utils_test.py +++ b/tests/utils_test.py @@ -7,7 +7,7 @@ class UtilsTest(unittest.TestCase): def test_count_gates(self): qubits = [cirq.LineQubit(i) for i in range(4)] - + layer_rz = [cirq.Rz(rads = np.pi/4).on(qubit) for qubit in qubits] layer_rx = [cirq.Rx(rads = np.pi/4).on(qubit) for qubit in qubits] layer_measurement = [cirq.measure(qubit) for qubit in qubits] @@ -16,10 +16,10 @@ def test_count_gates(self): circuit.append(layer_rx) circuit.append(layer_measurement) self.assertEqual(count_gates(circuit), 12) - + def test_T_gate_info(self): qubits = [cirq.LineQubit(i) for i in range(4)] - + layer_rz = [cirq.Rz(rads = np.pi/4).on(qubit) for qubit in qubits] layer_rx = [cirq.Rx(rads = np.pi/4).on(qubit) for qubit in qubits] layer_measurement = [cirq.measure(qubit) for qubit in qubits] @@ -36,7 +36,7 @@ def test_T_gate_info(self): def test_clifford_info(self): qubits = [cirq.LineQubit(i) for i in range(4)] - + layer_rz = [cirq.Rz(rads = np.pi/4).on(qubit) for qubit in qubits] layer_rx = [cirq.Rx(rads = np.pi/4).on(qubit) for qubit in qubits] layer_measurement = [cirq.measure(qubit) for qubit in qubits] @@ -52,10 +52,10 @@ def test_clifford_info(self): circ_depth = len(circ_cpt) self.assertEqual(circ_depth, 5) self.assertEqual(clifford_count, 12) - + def test_get_resource_estimate(self): qubits = [cirq.LineQubit(i) for i in range(4)] - + layer_rz = [cirq.Rz(rads = np.pi/4).on(qubit) for qubit in qubits] layer_rx = [cirq.Rx(rads = np.pi/4).on(qubit) for qubit in qubits] layer_measurement = [cirq.measure(qubit) for qubit in qubits] @@ -68,7 +68,6 @@ def test_get_resource_estimate(self): correct_estimate = {'num_qubits': 4, 't_count': 8, 't_depth': 2, - 'max_t_depth_wire': 2, 'gate_count': 20, 'clifford_count': 12, 'circuit_depth': 5} From 325baa3f7607529980880f72141acc03e7cd5a3d Mon Sep 17 00:00:00 2001 From: Zachary Alexander Morrell Date: Wed, 8 May 2024 18:15:48 -0600 Subject: [PATCH 13/30] Add Two Band HTSC Python script --- scripts/HTSC-two-band-RE.py | 119 ++++++++++++++++++++++++++++++++++++ 1 file changed, 119 insertions(+) create mode 100644 scripts/HTSC-two-band-RE.py diff --git a/scripts/HTSC-two-band-RE.py b/scripts/HTSC-two-band-RE.py new file mode 100644 index 0000000..0d36531 --- /dev/null +++ b/scripts/HTSC-two-band-RE.py @@ -0,0 +1,119 @@ +#!/usr/bin/env python + +import os +import argparse +import time +import openfermion as of +import numpy as np +import math +from pyLIQTR.PhaseEstimation.pe import PhaseEstimation +from networkx import get_node_attributes, draw, draw_networkx_edge_labels +from qca.utils.utils import circuit_estimate, EstimateMetaData +from qca.utils.hamiltonian_utils import generate_two_orbital_nx, nx_to_two_orbital_hamiltonian + +## Two band + +def main(args): + t1 = args.param_t1 + t2 = args.param_t2 + t3 = args.param_t3 + t4 = args.param_t4 + mu = args.param_mu + + trotter_steps = args.trotter_steps + trotter_order = args.trotter_order + + lattice_size = args.lattice_size + + value = args.value + repetitions = args.repetitions + directory = args.directory + name = args.name + + bits_precision = estimate_bits_precision(args.error_precision) + g = generate_two_orbital_nx(lattice_size,lattice_size) + n_qubits = len(g) + + ham = nx_to_two_orbital_hamiltonian(g,t1,t2,t3,t4,mu) + + E_min = -len(ham.terms) * max(abs(t1), abs(t2), abs(t3), abs(t4), abs(mu)) + E_max = 0 + omega = E_max-E_min + t = 2*np.pi/omega + phase_offset = E_max*t + + init_state = [0] * n_qubits + + pe_args = { + 'trotterize' : True, + 'mol_ham' : ham, + 'ev_time' : t, + 'trot_ord' : trotter_order, + 'trot_num' : 1 #Accounted for in a scaling argument later + } + + + print('starting') + value_per_circuit = value/repetitions + + metadata = EstimateMetaData( + id=time.time_ns(), + name=name, + category='scientific', + size=f'{lattice_size}x{lattice_size}', + task='Ground State Energy Estimation', + implementations=f'GSEE, evolution_time={t}, bits_precision={bits_precision}, trotter_order={trotter_order}', + value_per_circuit=value_per_circuit, + repetitions_per_application=repetitions + ) + + t0 = time.perf_counter() + gse_inst = PhaseEstimation( + precision_order=1, + init_state=init_state, + phase_offset=phase_offset, + include_classical_bits=False, # Do this so print to openqasm works + kwargs=pe_args) + gse_inst.generate_circuit() + t1 = time.perf_counter() + print(f'time to generate high level: {t1 - t0}') + + gse_circuit = gse_inst.pe_circuit + + print('Estimating Circuit Resources') + t0 = time.perf_counter() + estimate = circuit_estimate( + circuit=gse_circuit, + metadata = metadata, + outdir=directory, + circuit_name=name, + write_circuits=args.circuit_write, + bits_precision=bits_precision, + numsteps=trotter_steps) + t1 = time.perf_counter() + return estimate + +def estimate_bits_precision(epsilon): + return math.ceil(math.log2(1.0/epsilon)) + +def parse_arguments(): + parser = argparse.ArgumentParser(prog='HTSC-two-band-RE') + parser.add_argument('-l', '--lattice-size', type=int, default=10) + parser.add_argument('-e', '--error-precision', type=float, default=1e-3) + parser.add_argument('-t', '--trotter-steps', type=int, default=1) + parser.add_argument('-to', '--trotter-order', type=int, default=2) + parser.add_argument('-t1', '--param-t1', type=float, default=-1) + parser.add_argument('-t2', '--param-t2', type=float, default=1.3) + parser.add_argument('-t3', '--param-t3', type=float, default=0.85) + parser.add_argument('-t4', '--param-t4', type=float, default=0.85) + parser.add_argument('-mu', '--param-mu', type=float, default=1) + parser.add_argument('-n', '--name', type=str, default=f'FermiHubbard-TwoBand', help='name of this circuit instance, becomes prefix for output file') + parser.add_argument('-d', '--directory', type=str, default='./', help='output file directory') + parser.add_argument('-v', '--value', type=float, default=300000, help='value of the total application') + parser.add_argument('-r', '--repetitions', type=int, default=400, help='repetitions needed to achieve value of computatation (not runs of this script)') + parser.add_argument('-c', '--circuit_write', default=False, action='store_true') + return parser + +if __name__ == "__main__": + parser = parse_arguments() + main(parser.parse_args()) From 1c1d61b31be3522acb0ea60da6de325c6cd259f6 Mon Sep 17 00:00:00 2001 From: Zachary Alexander Morrell Date: Wed, 8 May 2024 21:27:48 -0600 Subject: [PATCH 14/30] Add one band HTSC script for running from command line --- scripts/HTSC-one-band-RE.py | 115 ++++++++++++++++++++++++++++++++++++ 1 file changed, 115 insertions(+) create mode 100644 scripts/HTSC-one-band-RE.py diff --git a/scripts/HTSC-one-band-RE.py b/scripts/HTSC-one-band-RE.py new file mode 100644 index 0000000..6a6c565 --- /dev/null +++ b/scripts/HTSC-one-band-RE.py @@ -0,0 +1,115 @@ +#!/usr/bin/env python +import os +import argparse +import time +import openfermion as of +import numpy as np +import math +from pyLIQTR.PhaseEstimation.pe import PhaseEstimation +from networkx import get_node_attributes, draw, draw_networkx_edge_labels +from qca.utils.utils import circuit_estimate, EstimateMetaData +from qca.utils.hamiltonian_utils import generate_two_orbital_nx, nx_to_two_orbital_hamiltonian + +def main(args): + lattice_size = args.lattice_size + tunneling = args.param_t1 + coulomb = args.param_mu + + error_precision = args.error_precision + trotter_steps = args.trotter_steps + trotter_order = args.trotter_order + name = args.name + directory = args.directory + value = args.value + repetitions = args.repetitions + circuit_write = args.circuit_write + + ham = of.fermi_hubbard(lattice_size, lattice_size, tunneling=tunneling, coulomb=coulomb, periodic=False) #returns an aperiodic fermionic hamiltonian + + trotter_order = 2 + trotter_steps = 1 #Using one trotter step for a strict lower bound with this method + + #this scales the circuit depth proportional to 2 ^ bits_precision + bits_precision = estimate_bits_precision(error_precision) + + E_min = -len(ham.terms) * max(abs(tunneling), abs(coulomb)) + E_max = 0 + omega = E_max-E_min + t = 2*np.pi/omega + phase_offset = E_max*t + + args = { + 'trotterize' : True, + 'mol_ham' : ham, + 'ev_time' : t, + 'trot_ord' : trotter_order, + 'trot_num' : 1 #handling adjustment in resource estimate to save time - scales circuit depth linearly. + } + + + init_state = [0] * lattice_size * lattice_size * 2 #TODO: use Fock state from Hartree-Fock as initial state + + print('starting') + total_value = 300000 + repetitions = 40 * 10 + value_per_circuit = total_value/repetitions + metadata = EstimateMetaData( + id=time.time_ns(), + name=name, + category='scientific', + size=f'{lattice_size}x{lattice_size}', + task='Ground State Energy Estimation', + implementations=f'GSEE, evolution_time={t}, bits_precision={bits_precision}, trotter_order={trotter_order}', + value_per_circuit=value_per_circuit, + repetitions_per_application=repetitions + ) + + t0 = time.perf_counter() + gse_inst = PhaseEstimation( + precision_order=1, #actual precision bits accounted as scaling factors in the resource estimate + init_state=init_state, + phase_offset=phase_offset, + include_classical_bits=False, # Do this so print to openqasm works + kwargs=args) + gse_inst.generate_circuit() + t1 = time.perf_counter() + print(f'One band GSEE time to generate high level Circuit: {t1 - t0}') + + gse_circuit = gse_inst.pe_circuit + + print('Estimating one_band') + t0 = time.perf_counter() + estimate = circuit_estimate( + circuit=gse_circuit, + metadata = metadata, + outdir=directory, + circuit_name=name, + write_circuits=circuit_write, + bits_precision=bits_precision, + numsteps=trotter_steps + ) + t1 = time.perf_counter() + print(f'Time to estimate one_band: {t1-t0}') + return estimate + +def estimate_bits_precision(epsilon): + return math.ceil(math.log2(1.0/epsilon)) + +def parse_arguments(): + parser = argparse.ArgumentParser(prog='HTSC-two-band-RE') + parser.add_argument('-l', '--lattice-size', type=int, default=20) + parser.add_argument('-e', '--error-precision', type=float, default=1e-5) + parser.add_argument('-t', '--trotter-steps', type=int, default=1) + parser.add_argument('-to', '--trotter-order', type=int, default=2) + parser.add_argument('-t1', '--param-t1', type=float, default=-1) + parser.add_argument('-mu', '--param-mu', type=float, default=1) + parser.add_argument('-n', '--name', type=str, default=f'FermiHubbard-OneBand', help='name of this circuit instance, becomes prefix for output file') + parser.add_argument('-d', '--directory', type=str, default='./', help='output file directory') + parser.add_argument('-v', '--value', type=float, default=300000, help='value of the total application') + parser.add_argument('-r', '--repetitions', type=int, default=400, help='repetitions needed to achieve value of computatation (not runs of this script)') + parser.add_argument('-c', '--circuit_write', default=False, action='store_true') + return parser + +if __name__ == "__main__": + parser = parse_arguments() + main(parser.parse_args()) From 284132a140b87afaad1288b3b3b657cc5e07037d Mon Sep 17 00:00:00 2001 From: Zain Mughal Date: Thu, 9 May 2024 12:14:50 -0600 Subject: [PATCH 15/30] removed duplicate decomposition --- src/qca/utils/utils.py | 1 - 1 file changed, 1 deletion(-) diff --git a/src/qca/utils/utils.py b/src/qca/utils/utils.py index 8e3fc56..cd739f2 100644 --- a/src/qca/utils/utils.py +++ b/src/qca/utils/utils.py @@ -196,7 +196,6 @@ def circuit_estimate( t0 = time.perf_counter() decomposed_circuit = cirq.Circuit(cirq.decompose(operation)) t1 = time.perf_counter() - decomposed_circuit = cirq.Circuit(cirq.decompose(operation)) decomposed_elapsed = t1-t0 print(f' Time to decompose high level {gate_type_name} circuit: {decomposed_elapsed} seconds ') t0 = time.perf_counter() From 9f9cc9618e7875f18c2c28bd9cd2788eaa88d42f Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Fri, 10 May 2024 11:21:17 -0600 Subject: [PATCH 16/30] included the estimatemetadata for the quantum chemistry notebook --- notebooks/PhotosynthesisExample.ipynb | 18 ++++++++++++++++-- 1 file changed, 16 insertions(+), 2 deletions(-) diff --git a/notebooks/PhotosynthesisExample.ipynb b/notebooks/PhotosynthesisExample.ipynb index 4f2acc8..17be516 100644 --- a/notebooks/PhotosynthesisExample.ipynb +++ b/notebooks/PhotosynthesisExample.ipynb @@ -59,6 +59,7 @@ "import re\n", "import sys\n", "import time\n", + "import uuid\n", "import cirq\n", "import numpy as np\n", "from dataclasses import dataclass\n", @@ -66,7 +67,7 @@ "from openfermion.chem import MolecularData\n", "from pyLIQTR.PhaseEstimation.pe import PhaseEstimation\n", "from openfermion.ops.representations import InteractionOperator\n", - "from qca.utils.utils import extract_number, circuit_estimate, gen_resource_estimate" + "from qca.utils.utils import extract_number, circuit_estimate, gen_resource_estimate, EstimateMetaData" ] }, { @@ -691,6 +692,9 @@ "}\n", "resource_estimates = []\n", "\n", + "repetitions_per_application = 1000\n", + "total_value = 600000\n", + "value_per_circuit = total_value/repetitions_per_application\n", "for idx, molecular_hamiltonian_info in enumerate(molecular_hamiltonians):\n", " molecular_hamiltonian = molecular_hamiltonian_info.molecular_hamiltonian\n", " molecular_hf_energy = molecular_hamiltonian_info.hf_energy\n", @@ -713,14 +717,24 @@ "\n", " print(f'Time to generate a circuit for estimating the GSE for Co2O9H12 {idx}: {t1-t0}')\n", " gse_circuit = gse_inst.pe_circuit\n", + "\n", + " molecular_metadata = EstimateMetaData(\n", + " id = uuid.uuid4(),\n", + " name=f'Co2O9H12_{idx}',\n", + " size=f'{n_qubits} qubits',\n", + " task='Ground State Energy Estimation',\n", + " implementations=f'GSEE, trotter_subprocess, bits_precision={bits_precision}, phase_offset={phase_offset}',\n", + " value_per_circuit=value_per_circuit,\n", + " repetitions_per_application=repetitions_per_application\n", + " )\n", " \n", " t0 = time.perf_counter()\n", " circuit_estimate(\n", " circuit=gse_circuit,\n", + " metadata=molecular_metadata,\n", " outdir='GSE/Quantum_Chemistry/',\n", " numsteps=trotter_steps,\n", " circuit_name=f'Co2O9H12_{idx}',\n", - " algo_name='GSE_Step',\n", " bits_precision=bits_precision,\n", " write_circuits=True\n", " )\n", From 316a08f05a4ac6e9d9bd5fc06cbc4ce7a6ca9051 Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Mon, 13 May 2024 21:07:53 -0600 Subject: [PATCH 17/30] making sure for metadata for qsp evaluation for rucl notebook is done --- notebooks/RuClExample.ipynb | 1 + 1 file changed, 1 insertion(+) diff --git a/notebooks/RuClExample.ipynb b/notebooks/RuClExample.ipynb index 0fa677e..9445b00 100644 --- a/notebooks/RuClExample.ipynb +++ b/notebooks/RuClExample.ipynb @@ -1135,6 +1135,7 @@ " evolution_time=evolution_time,\n", " numsteps=1000,\n", " energy_precision=energy_precision,\n", + " metadata=qsp_metadata,\n", " outdir='QSP/RuCl_circuits/',\n", " hamiltonian_name=f'rucl_qsp_{i}',\n", " write_circuits=True\n", From 860c53fe3a338801a322258fe63ba5308e1123fb Mon Sep 17 00:00:00 2001 From: Jonhas Saul Colina - 391643 Date: Tue, 14 May 2024 11:22:21 -0600 Subject: [PATCH 18/30] wip improvemnts to rucl script --- scripts/RuCl-RE.py | 14 +++++--------- 1 file changed, 5 insertions(+), 9 deletions(-) diff --git a/scripts/RuCl-RE.py b/scripts/RuCl-RE.py index a596f72..cf4e51d 100644 --- a/scripts/RuCl-RE.py +++ b/scripts/RuCl-RE.py @@ -14,6 +14,7 @@ pyliqtr_hamiltonian_to_openfermion_qubit_operator, ) from pyLIQTR.utils.Hamiltonian import Hamiltonian as pyH +import time def nx_rucl_terms(g, data_series): H = [] @@ -197,7 +198,6 @@ def generate_rucl_re( repetitions = 140 * 15 total_value = 2500000 value_per_circuit = total_value/repetitions - uid_count = 1000 for rucl_idx in range(len(df_rucl)): for lattice_size in lattice_size_range: H_rucl = generate_rucl_hamiltonian( @@ -211,7 +211,7 @@ def generate_rucl_re( openfermion_hamiltonian_rucl = pyliqtr_hamiltonian_to_openfermion_qubit_operator(H_rucl_pyliqtr) nsteps = 1500000 metadata = EstimateMetaData( - id=f'{uid_count}', + id=f'{time.time_ns()}', name=f'RuCl_row_{rucl_idx}', category='scientific', size=f'lattice_size: {lattice_size}', @@ -229,9 +229,8 @@ def generate_rucl_re( hamiltonian_name=f'trotter_rucl_size_{lattice_size}_row_{rucl_idx}', nsteps=nsteps ) - uid_count += 1 metadata.implementations='QSP, JT=1000, gate_synth_accuracy=1e-10, numsteps=1500000, energy_precision=1e-3' - metadata.id = f'{uid_count}' + metadata.id = f'{time.time_ns()}' estimate_qsp( pyliqtr_hamiltonian=H_rucl_pyliqtr, evolution_time=evolution_time, @@ -240,16 +239,13 @@ def generate_rucl_re( metadata=metadata, outdir=outdir, hamiltonian_name=f'qsp_rucl_size_{lattice_size}_row_{rucl_idx}', - write_circuits=True + write_circuits=False ) - uid_count += 1 def rucl_estimate(): rucl_references = ["Winter et al. PRB", "Winter et al. NC", "Wu et al.", "Cookmeyer and Moore", "Kim and Kee", "Suzuki and Suga", "Yadav et al.", "Ran et al.", "Hou et al.", "Wang et al.", "Eichstaedt et al.", "Eichstaedt et al.", "Eichstaedt et al.", "Banerjee et al.", "Kim et al.", "Kim and Kee", "Winter et al.", "Ozel et al.", "Ozel et al."] - print(len(rucl_references)) - raise ValueError rucl_methods = ["Ab initio (DFT + exact diag.)", "Ab initio-inspired (INS fit)", "THz spectroscopy fit", "Magnon thermal Hall (sign)", "DFT + t=U expansion", "Magnetic specific heat", "Quantum chemistry (MRCI)", @@ -282,7 +278,7 @@ def rucl_estimate(): re_dir = 'temp_RE/' generate_rucl_re( energy_precision=1e-3, - lattice_size_range=[4,6,8,12,16,24,32], + lattice_size_range=[70], evolution_time=1000, df_rucl=df_rucl, outdir=re_dir From e39c947e916a4502449ca6fe10fc19dfb7f0ddc5 Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Tue, 14 May 2024 11:29:49 -0600 Subject: [PATCH 19/30] modified RuCl-RE file to include lattice size as arg and not over a range --- scripts/RuCl-RE.py | 123 ++++++++++++++++++++------------------------- 1 file changed, 55 insertions(+), 68 deletions(-) diff --git a/scripts/RuCl-RE.py b/scripts/RuCl-RE.py index cf4e51d..abe72dc 100644 --- a/scripts/RuCl-RE.py +++ b/scripts/RuCl-RE.py @@ -1,5 +1,5 @@ import os -import cirq +from argparse import ArgumentParser import numpy as np from math import sqrt import networkx as nx @@ -163,33 +163,20 @@ def assign_spin_labels_rucl(lattice_size:int) -> Graph: nx.set_node_attributes(g, spin_labels, name='spin') return g -def prepare_initial_state_rucl(g:Graph) -> cirq.Circuit: - flattened_graph = flatten_nx_graph(g) - spins = nx.get_node_attributes(flattened_graph, 'spins') - qubits = [cirq.LineQubit(i) for i in flattened_graph.nodes] - - # generating layers of operations to initialize state - layer_zig_zag = [cirq.X(qubits[i]) for i in range(len(g)) if spins[i] == -1] - layer_rz = [cirq.Rz(rads = np.pi/4).on(qubit) for qubit in qubits] - layer_rx = [cirq.Rx(rads = np.pi/4).on(qubit) for qubit in qubits] - layer_z = [cirq.Z(qubit) for qubit in qubits] - layer_rx_neg = [cirq.Rx(rads=-np.pi/4).on(qubit) for qubit in qubits] - layer_rz_neg = [cirq.Rz(rads=-np.pi/4).on(qubit) for qubit in qubits] - - # appending layers to a circuit to return - circuit = cirq.Circuit() - circuit.append(layer_zig_zag) - circuit.append(layer_rz) - circuit.append(layer_rx) - circuit.append(layer_z) - circuit.append(layer_rx_neg) - circuit.append(layer_rz_neg) - return circuit - +def gen_args(): + parser = ArgumentParser() + parser.add_argument( + '-L', + '--lattice_size', + type=int, + required=True, + help='integer denoting the lattice size' + ) + return parser.parse_args() def generate_rucl_re( energy_precision:float, - lattice_size_range: list[int], + lattice_size: int, evolution_time:float, df_rucl:DataFrame, outdir:str) -> None: @@ -199,50 +186,50 @@ def generate_rucl_re( total_value = 2500000 value_per_circuit = total_value/repetitions for rucl_idx in range(len(df_rucl)): - for lattice_size in lattice_size_range: - H_rucl = generate_rucl_hamiltonian( - lattice_size, - df_rucl.iloc[rucl_idx], - field_x = lambda s: 1/sqrt(6)/2, - field_y = lambda s: 1/sqrt(6)/2, - field_z = lambda s: -2/sqrt(6)/2 - ) - H_rucl_pyliqtr = pyH(H_rucl) - openfermion_hamiltonian_rucl = pyliqtr_hamiltonian_to_openfermion_qubit_operator(H_rucl_pyliqtr) - nsteps = 1500000 - metadata = EstimateMetaData( - id=f'{time.time_ns()}', - name=f'RuCl_row_{rucl_idx}', - category='scientific', - size=f'lattice_size: {lattice_size}', - task='Time-Dependent Dynamics', - implementations='trotterization, JT=1000, gate_synth_accuracy=1e-10, numsteps=1500000, energy_precision=1e-3', - value_per_circuit=value_per_circuit, - repetitions_per_application=repetitions - ) - estimate_trotter( - openfermion_hamiltonian=openfermion_hamiltonian_rucl, - evolution_time=evolution_time, - energy_precision=energy_precision, - metadata=metadata, - outdir=outdir, - hamiltonian_name=f'trotter_rucl_size_{lattice_size}_row_{rucl_idx}', - nsteps=nsteps - ) - metadata.implementations='QSP, JT=1000, gate_synth_accuracy=1e-10, numsteps=1500000, energy_precision=1e-3' - metadata.id = f'{time.time_ns()}' - estimate_qsp( - pyliqtr_hamiltonian=H_rucl_pyliqtr, - evolution_time=evolution_time, - numsteps=nsteps, - energy_precision=energy_precision, - metadata=metadata, - outdir=outdir, - hamiltonian_name=f'qsp_rucl_size_{lattice_size}_row_{rucl_idx}', - write_circuits=False - ) + H_rucl = generate_rucl_hamiltonian( + lattice_size, + df_rucl.iloc[rucl_idx], + field_x = lambda s: 1/sqrt(6)/2, + field_y = lambda s: 1/sqrt(6)/2, + field_z = lambda s: -2/sqrt(6)/2 + ) + H_rucl_pyliqtr = pyH(H_rucl) + openfermion_hamiltonian_rucl = pyliqtr_hamiltonian_to_openfermion_qubit_operator(H_rucl_pyliqtr) + nsteps = 1500000 + metadata = EstimateMetaData( + id=f'{time.time_ns()}', + name=f'RuCl_row_{rucl_idx}', + category='scientific', + size=f'lattice_size: {lattice_size}', + task='Time-Dependent Dynamics', + implementations='trotterization, JT=1000, gate_synth_accuracy=1e-10, numsteps=1500000, energy_precision=1e-3', + value_per_circuit=value_per_circuit, + repetitions_per_application=repetitions + ) + estimate_trotter( + openfermion_hamiltonian=openfermion_hamiltonian_rucl, + evolution_time=evolution_time, + energy_precision=energy_precision, + metadata=metadata, + outdir=outdir, + hamiltonian_name=f'trotter_rucl_size_{lattice_size}_row_{rucl_idx}', + nsteps=nsteps + ) + metadata.implementations='QSP, JT=1000, gate_synth_accuracy=1e-10, numsteps=1500000, energy_precision=1e-3' + metadata.id = f'{time.time_ns()}' + estimate_qsp( + pyliqtr_hamiltonian=H_rucl_pyliqtr, + evolution_time=evolution_time, + numsteps=nsteps, + energy_precision=energy_precision, + metadata=metadata, + outdir=outdir, + hamiltonian_name=f'qsp_rucl_size_{lattice_size}_row_{rucl_idx}', + write_circuits=False + ) def rucl_estimate(): + args = gen_args() rucl_references = ["Winter et al. PRB", "Winter et al. NC", "Wu et al.", "Cookmeyer and Moore", "Kim and Kee", "Suzuki and Suga", "Yadav et al.", "Ran et al.", "Hou et al.", "Wang et al.", "Eichstaedt et al.", "Eichstaedt et al.", "Eichstaedt et al.", "Banerjee et al.", "Kim et al.", "Kim and Kee", "Winter et al.", "Ozel et al.", "Ozel et al."] @@ -278,7 +265,7 @@ def rucl_estimate(): re_dir = 'temp_RE/' generate_rucl_re( energy_precision=1e-3, - lattice_size_range=[70], + lattice_size=args.lattice_size, evolution_time=1000, df_rucl=df_rucl, outdir=re_dir From 7ecc488d584eea285f90068710eef2092aa97c90 Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Tue, 14 May 2024 14:37:44 -0600 Subject: [PATCH 20/30] fixed state prep cell for RuCl notebook to gen resource estimate appropriately --- notebooks/RuClExample.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/notebooks/RuClExample.ipynb b/notebooks/RuClExample.ipynb index 9445b00..b0ef246 100644 --- a/notebooks/RuClExample.ipynb +++ b/notebooks/RuClExample.ipynb @@ -1269,7 +1269,7 @@ "outputs": [], "source": [ "state_prep_estimate = gen_resource_estimate(circuit_state_prep_and_measurement_cpt, is_extrapolated=False)\n", - "re_as_json(state_prep_estimate, [], file_name = 'state_preparation_and_measurement.json', algo_name='')" + "re_as_json(state_prep_estimate, outdir='state_preparation_and_measurement.json')" ] }, { From 999cdcfa2d5c2613d1e2b4bd795f3cece7a7a5bc Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Wed, 15 May 2024 16:51:53 -0600 Subject: [PATCH 21/30] making metadata optional for resource estimates --- src/qca/utils/algo_utils.py | 24 +++++++++++++++++------- src/qca/utils/utils.py | 18 +++++------------- 2 files changed, 22 insertions(+), 20 deletions(-) diff --git a/src/qca/utils/algo_utils.py b/src/qca/utils/algo_utils.py index cfc5f9a..eb46392 100644 --- a/src/qca/utils/algo_utils.py +++ b/src/qca/utils/algo_utils.py @@ -3,6 +3,7 @@ import random import numpy as np import networkx as nx +from dataclasses import asdict from cirq import Circuit from cirq.contrib import qasm_import @@ -19,16 +20,16 @@ from pyLIQTR.gate_decomp.cirq_transforms import clifford_plus_t_direct_transform from pyLIQTR.phase_factors.fourier_response.fourier_response import Angler_fourier_response -from qca.utils.utils import circuit_estimate, estimate_cpt_resources, EstimateMetaData +from qca.utils.utils import circuit_estimate, estimate_cpt_resources, EstimateMetaData, re_as_json def estimate_qsp( pyliqtr_hamiltonian: Hamiltonian, evolution_time:float, numsteps:int, energy_precision:float, - metadata: EstimateMetaData, outdir:str, hamiltonian_name:str='hamiltonian', + metadata: EstimateMetaData = None, write_circuits:bool=False, ) -> Circuit: timestep_of_interest=evolution_time/numsteps @@ -45,14 +46,17 @@ def estimate_qsp( t1 = time.perf_counter() elapsed = t1 - t0 print(f'Time to generate high level QSP circuit: {elapsed} seconds') - circuit_estimate( + outfile = f'{outdir}{hamiltonian_name}_re.json' + logical_re = circuit_estimate( circuit=qsp_circuit, - metadata=metadata, outdir=outdir, numsteps=numsteps, - circuit_name=hamiltonian_name, write_circuits=write_circuits ) + if metadata: + re_metadata = asdict(metadata) + logical_re = re_metadata | logical_re + re_as_json(logical_re, outfile) return qsp_circuit def find_hamiltonian_ordering(of_hamiltonian: QubitOperator) -> list: @@ -95,8 +99,8 @@ def estimate_trotter( openfermion_hamiltonian: QubitOperator, evolution_time: float, energy_precision: float, - metadata: EstimateMetaData, outdir:str, + metadata: EstimateMetaData=None, hamiltonian_name:str='hamiltonian', write_circuits:bool=False, nsteps:int=None @@ -146,7 +150,7 @@ def estimate_trotter( with open(outfile_qasm_cpt, 'w', encoding='utf-8') as f: print_to_openqasm(f, cpt_trotter, qubits=cpt_trotter.all_qubits()) - estimate_cpt_resources( + logical_re = estimate_cpt_resources( cpt_circuit=cpt_trotter, metadata=metadata, outdir=outdir, @@ -154,4 +158,10 @@ def estimate_trotter( circuit_name=hamiltonian_name, trotter_steps=nsteps ) + + outfile = f'{outdir}{hamiltonian_name}_re.json' + if metadata: + re_metadata = asdict(metadata) + logical_re = re_metadata | logical_re + re_as_json(logical_re, outfile) return cpt_trotter diff --git a/src/qca/utils/utils.py b/src/qca/utils/utils.py index cd739f2..0c059df 100644 --- a/src/qca/utils/utils.py +++ b/src/qca/utils/utils.py @@ -151,7 +151,6 @@ def gen_resource_estimate( def estimate_cpt_resources( cpt_circuit: cirq.AbstractCircuit, - metadata: EstimateMetaData, outdir: str, is_extrapolated:bool, circuit_name:str, @@ -162,23 +161,17 @@ def estimate_cpt_resources( os.makedirs(outdir) total_steps = trotter_steps * magnus_steps - re_metadata = asdict(metadata) - re_metadata['Logical_Abstract'] = gen_resource_estimate( + logical_re = gen_resource_estimate( cpt_circuit=cpt_circuit, is_extrapolated=is_extrapolated, total_steps=total_steps ) - resource_estimate = re_metadata - - outfile_data = f'{outdir}{circuit_name}_re.json' - re_as_json(resource_estimate, outfile_data) + return logical_re def circuit_estimate( circuit: cirq.AbstractCircuit, - metadata: EstimateMetaData, outdir: str, numsteps: int, - circuit_name: str, bits_precision:int=1, write_circuits:bool = False ) -> cirq.AbstractCircuit: @@ -241,17 +234,16 @@ def circuit_estimate( total_T_depth += subcircuit_counts[gate][0] * t_depth * numsteps total_T_count += subcircuit_counts[gate][0] * t_count * numsteps total_clifford_count += subcircuit_counts[gate][0] * clifford_count * numsteps - re_metadata = asdict(metadata) - re_metadata['Logical_Abstract'] = { + + return {'Logical_Abstract': { 'num_qubits': len(circuit.all_qubits()), 't_count': total_T_count, 'circuit_depth': total_gate_depth, 'gate_count': total_gate_count, 't_depth': total_T_depth, 'clifford_count': total_clifford_count + } } - outfile_data = f'{outdir}{circuit_name}_re.json' - re_as_json(re_metadata, outfile_data) def re_as_json(main_estimate:dict, outdir:str) -> None: with open(outdir, 'w') as f: From 082b6f7f26acd27cd98727b54013c13f572910c2 Mon Sep 17 00:00:00 2001 From: github-actions <41898282+github-actions[bot]@users.noreply.github.com> Date: Wed, 15 May 2024 22:55:51 +0000 Subject: [PATCH 22/30] Updated pylint badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 0582175..6228e29 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -![pylint](https://img.shields.io/badge/PyLint-9.56-yellow?logo=python&logoColor=white) +![pylint](https://img.shields.io/badge/PyLint-9.49-yellow?logo=python&logoColor=white) # Quantum Computing Application Specifications Documentation of Applications for Quantum Computers From 1d6e46ccd237fe4a14ecf5c830c639c22d72e03f Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Wed, 15 May 2024 17:51:22 -0600 Subject: [PATCH 23/30] made the metadata for resource estimates optional and created a utility function for qpe via a trotterized subprocess --- ...HighTemperatureSuperConductorExample.ipynb | 241 +++++------ notebooks/MagneticLattices.ipynb | 220 +++++----- notebooks/PhotosynthesisExample.ipynb | 379 ++---------------- src/qca/utils/algo_utils.py | 43 +- 4 files changed, 302 insertions(+), 581 deletions(-) diff --git a/notebooks/HighTemperatureSuperConductorExample.ipynb b/notebooks/HighTemperatureSuperConductorExample.ipynb index 947ec08..14ce92f 100644 --- a/notebooks/HighTemperatureSuperConductorExample.ipynb +++ b/notebooks/HighTemperatureSuperConductorExample.ipynb @@ -50,24 +50,30 @@ }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 3, "metadata": { "tags": [] }, "outputs": [], "source": [ "import time\n", + "\n", "import openfermion as of\n", + "\n", "import numpy as np\n", - "from pyLIQTR.PhaseEstimation.pe import PhaseEstimation\n", + "\n", "from networkx import get_node_attributes, draw, draw_networkx_edge_labels\n", + "\n", + "from pyLIQTR.PhaseEstimation.pe import PhaseEstimation\n", + "\n", "from qca.utils.utils import circuit_estimate, EstimateMetaData\n", + "from qca.utils.algo_utils import gsee_resource_estimation\n", "from qca.utils.hamiltonian_utils import generate_two_orbital_nx, nx_to_two_orbital_hamiltonian" ] }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 4, "metadata": { "tags": [] }, @@ -89,7 +95,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": { "tags": [] }, @@ -108,20 +114,11 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 6, "metadata": { "tags": [] }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "starting\n", - "One band GSEE time to generate high level Circuit: 7.655850851908326\n" - ] - } - ], + "outputs": [], "source": [ "trotter_order_one_band = 2\n", "trotter_steps_one_band = 1 #Using one trotter step for a strict lower bound with this method\n", @@ -146,7 +143,6 @@ "\n", "init_state_one_band = [0] * n * n * 2 #TODO: use Fock state from Hartree-Fock as initial state\n", "\n", - "print('starting')\n", "total_value = 300000\n", "repetitions = 40 * 10\n", "value_per_circuit = total_value/repetitions\n", @@ -161,18 +157,18 @@ " repetitions_per_application=repetitions\n", ")\n", "\n", - "t0 = time.perf_counter()\n", - "gse_inst_one_band = PhaseEstimation(\n", - " precision_order=1, #actual precision bits accounted as scaling factors in the resource estimate\n", - " init_state=init_state_one_band,\n", - " phase_offset=one_band_phase_offset,\n", - " include_classical_bits=False, # Do this so print to openqasm works\n", - " kwargs=args_one_band)\n", - "gse_inst_one_band.generate_circuit()\n", - "t1 = time.perf_counter()\n", - "print(f'One band GSEE time to generate high level Circuit: {t1 - t0}')\n", - "\n", - "gse_circuit_one_band = gse_inst_one_band.pe_circuit" + "# t0 = time.perf_counter()\n", + "# gse_inst_one_band = PhaseEstimation(\n", + "# precision_order=1, #actual precision bits accounted as scaling factors in the resource estimate\n", + "# init_state=init_state_one_band,\n", + "# phase_offset=one_band_phase_offset,\n", + "# include_classical_bits=False, # Do this so print to openqasm works\n", + "# kwargs=args_one_band)\n", + "# gse_inst_one_band.generate_circuit()\n", + "# t1 = time.perf_counter()\n", + "# print(f'One band GSEE time to generate high level Circuit: {t1 - t0}')\n", + "\n", + "# gse_circuit_one_band = gse_inst_one_band.pe_circuit" ] }, { @@ -184,7 +180,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 7, "metadata": { "tags": [] }, @@ -194,32 +190,44 @@ "output_type": "stream", "text": [ "Estimating one_band\n", - " Time to decompose high level " ] @@ -110,12 +110,12 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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//ns0bdpU7HII3PImIiIDJQgCbt68qToPGRMTAzMzM3Tr1k313GGdOnXELpM07PHjx2jevDlatWqFQ4cO8YcEPcFASUREBqOwsBBnzpxRnYeMi4uDpaUl+vbtCxcXFwwcOJA3fY2YIAhwdnbG6dOnERsbi6pVq4pdEv2FW95ERKTXXr58iYiICAQFBWH//v1IS0tD5cqVMXjwYKxZswa9evVCqVKlxC6TdGDz5s2qt9MZJvULVyiJiEjvpKen4+DBgwgKCkJYWBhycnLQoEEDuLi4wMXFBe3bt2eTcRNz69YttG7dGqNGjcLPP/8sdjn0LwyURESkF+7evas6DxkdHY3CwkJ06NBBdR6ycePGPC9novLz89GpUydkZmbi4sWLsLKyErsk+hdueRMRmYDsPAUS07ORr1CiuIUZattYwaqEuH8FCIKAixcvqs5DxsbGonjx4ujVqxd++uknDB48mNuaBABYuHAhrly5gjNnzjBM6imuUBIRGan41EzIYpIQeSsNSRk5+Psf9hIAdtaWcGhUGZ7t7dDAtoxOaiooKEBUVBSCgoIQEhKC5ORklC9fHgMHDoSLiwv69u2LMmV0UwsZhqioKDg4OGDZsmWYN2+e2OXQGzBQEhEZmeSMHMzfdxUnE57A3EyCQuWb/5h/9fGu9SvCe0hz1LS21Hg9L168wOHDhxEUFITQ0FA8f/4cdnZ2cHZ2houLC7p27YpixYppfF4yfM+ePUOLFi1Qp04dHDt2jOdm9RgDJRGREfE/l4SFIdehUApvDZL/Zm4mgYWZBIudmsLd3k7tOh48eICQkBAEBwfj2LFjyM/PR6tWrVTnIVu1asXzkPRWgiBAKpXi0KFDiI2NhZ2d+r8vSXt4hpKIyEhsiIyHT3jcB31t4V8BdO7eq3iSlYdJDg2K9PWCIOCPP/5AUFAQgoODcfbsWZibm6Nbt25YvXo1nJycULt27Q+qjUyTTCaDv78/5HI5w6QB4AolEZER8D+XhLl7r2psvJVDm8PtHSuVhYWFOH36tCpEJiQkwMrKCv369YOLiwsGDBgAa2trjdVEpiMxMREtW7bE4MGDsXPnTrHLoffAQElEZOCSM3LQe10U8hRKjY1ZwsIMR6d1/8+ZypcvX+LIkSMIDg7G/v378fjxY9ja2sLJyQnOzs7o1asXSpYsqbE6yPQoFAr06NED9+/fx5UrV1CuXDmxS6L3wC1vIiIDN3/fVSiKcF7yfSiUAubvu4od49rjyZMnOHDgAIKDgxEWFoaXL1+iUaNGGDt2LJydndG+fXuYmZlpdH4yXStWrMDp06cRFRXFMGlAuEJJRGTA4lMz0Wf9Ca2NX+2SL2KOhEAQhP80GSfStLNnz6JTp06YO3cuvvvuO7HLoSJgoCQiMmCLQq5jR8y9It3ofl+CshA2GdfxebuKGDx4MKpUqaLxOYheycrKQuvWrVGhQgX8/vvvbCVlYLjlTURkwCJvpWklTAKAxMwcZRp1wPjxDloZn+jvvvrqKzx8+BChoaEMkwaIgZKIyEBl5SmQlJGj1TmS0nOQnacQ/ZlGMm779u3D1q1bsWXLFjRoULSWVaQfeIqaiMhA3UvPhrbPLAkAEtOztTwLmbIHDx7Ay8sLQ4YMwbhx48Quhz4QAyURkYHK12CbIH2Yh0yPUqnEmDFjUKJECWzZsoWvJxkw7mEQERmo4ha6WRPQ1Txker7//nscOXIE4eHhsLGxEbscUgP/lCAiMlC1bayg7fUcyV/zEGlabGws5s6di6+++gp9+vQRuxxSEwMlEZGhUuShfDGFVqewVObg5rUrYIc50qSXL1/C09MTjRo1wvLly8UuhzSAgZKIyIAIgoBz585hwoQJqFq1KpJOHwIE7ZxxlAhKPP/jFD7++GM0adIES5cuxZ07d7QyF5mWuXPnIj4+HnK5nE91GgkGSiIiA/D06VNs2LABrVu3Rrt27RAaGopp06Zhz6qvAIl2/igXJGY4+r+FOHz4MNq1a4eVK1eiXr166NixIzZs2IDHjx9rZV4ybmFhYfjhhx+wcuVKNGvWTOxySEP4Ug4RkZ4SBAFRUVHw9fXF7t27UVhYCCcnJ3h5ecHR0RHm5uYAgFFbY3DqTrpGG5ybm0nQqa4Ndoxrr/rfsrOzERISAplMhrCwMAiCAEdHR3h6esLFxQVWVjxrSW/3+PFjtGjRAi1btkRoaCjfgDciDJRERHrm0aNH2L59O3x9fZGQkIAGDRrAy8sLo0ePfu3zh8kZOei9Lgp5GmzvU8LCDEendUdNa8vXfvzJkycIDAyETCbDqVOnYGlpCRcXF3h6eqJPnz586YT+QxAEDBkyBL///jtiY2NRtWpVsUsiDWKgJCLSAwqFAmFhYfD19cX+/ftRrFgxuLq6wsvLC127dn1nfz7/c0mYu/eqxupZObQ53Ozt3utz7969Cz8/P8hkMty4cQOVKlXCiBEj4OnpiQ4dOrC3IAEANm/ejAkTJiAoKAjOzs5il0MaxkBJRCSixMREbN26Fdu2bUNKSgpatWqF8ePHQyqVonz58kUaa0NkPHzC49SuaZZjI3zpUL/IXycIAq5cuQKZTAY/Pz+kpKSgbt26kEql8PT0ROPGjdWujQxTXFwcWrdujZEjR+Lnn38WuxzSAgZKIiIdy8vLQ3BwMHx9fXH06FGULl0anp6e8PLyQps2bdRa0fM/l4SFIdehUApFOlNpbiaBhZkES5yavvfK5NsUFhbixIkTkMlk2L17N54/f442bdrA09MT7u7uqFatmtpzkGHIz89Hp06dkJmZiYsXL/KsrZFioCQi0pEbN27A19cXv/32G9LT09G5c2d4eXnB1dVVo3/JJmfkYP6+qziZ8ATmZpK3BstXH+9avyK8hzR/45lJdeTm5iI0NBQ7d+7EwYMHoVAo4ODgAE9PTwwdOhTlypXT+JykP+bPn4/Vq1fj9OnT+Pjjj8Uuh7SEgZKISIuys7MRGBgIX19fnDp1ChUrVsQnn3yCcePGoUmTJlqdOz41E7KYJOy/cAdP8iT/WPmUALCzsYRDw8oY2cEO9SuX0Wotrzx9+hR79uyBTCZDVFQUihcvjsGDB8PT0xP9+/dHiRIldFIH6caJEyfQo0cPLFu2DPPmzRO7HNIiBkoiIg0TBAHnz5+Hr68v/Pz8kJWVBUdHR3h5ecHJyQnFixfXaT3Lli3Duh9/QtTFG8hXKFHcwgy1baxgVcJCp3X82/3791WXea5cuYIKFSpg+PDhGDlyJLp06cKWMgbu2bNnaNmyJWrXro1jx46p2lyRcWKgJCLSkKdPn0Imk8HX1xdXrlxBjRo1MHbsWHz66aeoXbu2aHV9+umn+OOPP3DmzBnRaniX69evQyaTQS6X4969e6hZsyY8PDzg6emJFi1aiF0efQBPT08cPHgQV65cQa1atcQuh7SMgZKISA3v23xcTF26dEHt2rWxc+dOsUt5J6VSiVOnTkEmkyEwMBAZGRlo1qwZPD09IZVKYWen/oUh0j6ZTIaRI0dCJpNBKpWKXQ7pAAMlEdEHePToEX799Vds3br1vZqPi6lKlSr4/PPPsXDhQrFLKZL8/HyEhYVBJpMhJCQEL1++RNeuXeHp6QlXV1dYW1uLXSK9RmJiIlq2bInBgwcbxA8xpBkMlERE70nd5uNiePHiBcqVK4edO3fC09NT7HI+WGZmJvbt2weZTIajR4/C3Nwc/fv3h6enJwYPHoxSpUqJXSLhz3ZRPXr0QHJyMq5cucIb/CaEJ56JiN4hMTERCxYsQO3atTFo0CAkJibihx9+wMOHD/Hbb7+hW7duehkmAeD27dsAgAYNGohciXrKlCmD0aNHIywsDCkpKVi9ejUePnwINzc32NraYsyYMThy5AgKCwvFLtWkrVixAqdOncKOHTsYJk0MVyiJiF5Dm83HdSkwMBBubm5IT083yi3i+Ph4yGQyyGQyJCQkoEqVKqrLPIb062QMzp07h06dOmHOnDn47rvvxC6HdIyBkojob3TVfFxXvL294ePjg4yMDLFL0SpBEHDu3DnIZDL4+/sjLS0NjRo1Ul3mqVevntglGrWsrCy0adMG5cuXx++//45ixYqJXRLpGAMlEZk8MZuPa9vYsWNx/fp1xMTEiF2KzigUCkREREAmk2Hfvn3IyspChw4d4OnpiREjRqBy5cpil2h0xo8fD7lcjkuXLqFhw4Zil0MiYKAkIpOkb83HtaVr166ws7ODTCYTuxRR5OTkICQkBDKZDIcPH4YgCHB0dISnpyecnZ1RunRpsUs0ePv27cPQoUOxZcsWeHl5iV0OiYSBkohMir42H9eWqlWrYsKECVi0aJHYpYjuyZMn2LVrF2QyGX7//XdYWlrC2dkZnp6ecHR05DbtB3jw4AFatGiBrl27Yu/evTyzasIYKInI6BlC83FtyMzMRNmyZbFjxw6MHDlS7HL0SmJiIuRyOWQyGW7cuIGKFStixIgR8PT0RMeOHRmM3oNSqUT//v1x9epVxMbGomLFimKXRCJioCQio2VIzce14fLly2jdujVOnz6NDh06iF2OXhIEAVeuXIFMJoOfnx9SUlJQt25dSKVSeHp6onHjxmKXqLfWr1+PadOmISwsDI6OjmKXQyJjoCQio2KIzce1Zffu3XB1dcWTJ09gY2Mjdjl6r7CwECdOnIBMJsPu3bvx/PlztGnTBp6ennB3d0e1atXELlFvXL16Ffb29vj888+xbt06scshPcBASURG4e7du/jll1+wbds2pKSkoFWrVhg/fjykUinKly8vdnmiWL58OVatWoWMjAyTCtKakJubi9DQUMhkMhw4cAAFBQXo2bMnPD09MXToUJNu2p2bmwt7e3tIJBKcPXsWJUuWFLsk0gN8KYeIDFZeXh4CAwPRp08f1K1bF99//z0GDx6M8+fP4+LFi/jiiy9MNkwCUG3zM0wWXcmSJTF06FDs2bMHqamp2LJlC5RKJcaNGwdbW1u4uroiKCgIeXl5Ypeqc3PnzlU1lGeYpFe4QklEBsfYmo9rS7du3VCjRg3I5XKxSzEa9+/fh7+/P2QyGS5fvozy5cvD1dUVnp6e6Nq1K8zMjHudJjw8HH379sX69esxdepUscshPcJASUQGwZibj2tLtWrVMH78eCxevFjsUozSjRs3IJPJIJfLkZiYiBo1asDDwwMjR45EixYtxC5P4548eYLmzZujRYsWOHTokNGHZyoaBkoi0lum0nxcG7Kzs1G6dGn89ttvGDVqlNjlGDVBEHDq1CnIZDIEBgYiPT0dzZo1g6enJzw8PFCrVi2xS1SbIAgYMmQIoqOjcfXqVVStWlXskkjPMFASkd55+vQpdu7cCV9fX8TGxhp983FtuHLlClq1aoVTp06hY8eOYpdjMvLz8xEeHg6ZTIbg4GC8fPkSXbt2haenJ1xdXWFtbS12iR9ky5Yt+Oyzz7Bv3z64uLiIXQ7pIQZKItILptp8XFv27NmD4cOH4/Hjx2w4LZLMzEwEBQVBJpPhyJEjMDc3R//+/eHp6YnBgwejVKlSYpf4XuLi4tC6dWt4enpi8+bNYpdDeoqBkohEZerNx7VlxYoVWLFiBZ4+fcpb3nogNTUVAQEBkMlkOHv2LMqUKYOhQ4fC09MTPXv2FOUHpuw8BRLTs5GvUKK4hRlq21jBqoTFPz6noKAAnTp1wvPnz3Hp0iVeeqM3YqAkIp1j83Ht8/LywpUrV3Du3DmxS6F/iY+PVz37GB8fjypVqsDd3R2enp5o27atVn//x6dmQhaThMhbaUjKyMHfA4AEgJ21JRwaVYZnezs0sC2Dr7/+GqtWrcKpU6dgb2+vtbrI8DFQEpHOsPm47nTv3h3VqlWDn5+f2KXQG7y6dCaTyeDv74/U1FQ0bNgQnp6e8PT0RL169TQ2V3JGDubvu4qTCU9gbiZBofLNf/W/+niziuYI++5TLJ41GfPnz9dYLWScGCiJSKvy8vIQHByMLVu24OjRoyhTpgw8PT3h5eWFNm3acDVSS6pXr46xY8di6dKlYpdC70GhUODYsWOQyWTYu3cvsrKy0L59e3h6esLNzQ2VK1f+4LH9zyVhYch1KJTCW4PkfygLIRGUWDasFaTta3/w/GQaGCiJSCvYfFw8r1oGbd++HaNHjxa7HCqinJwc7N+/HzKZDIcOHYIgCOjTpw88PT3h4uKC0qVLv/dYGyLj4RMep3ZNMx0bYpJDA7XHIePFQElEGpOVlYVdu3Zhy5YtOH36NJuPiyQ2NhYtW7bE77//jk6dOoldDqkhPT0du3btgkwmQ3R0NCwtLeHs7AxPT084OjqiWLFib/xa/3NJmLv3qsZqWTm0Odzs7TQ2HhkXBkoiUgubj+ufvXv3YtiwYUhLS0OlSpXELoc0JDExEX5+fpDJZLh+/ToqVqyIESNGwNPTEx07dvzH8ZHkjBz0XheFPIVSY/OXsDDD0WndUdPaUmNjkvFgoCSiD8Lm4/pr5cqV8Pb2xrNnz3hG1QgJgoDY2FjIZDL4+fnh/v37qFOnDqRSKTw9PdGkSROM2hqDU3fSi3Zm8h3MzSToVNcGO8a119iYZDwYKInovbH5uGEYP348Ll68iAsXLohdCmmZUqnEiRMnIJPJsHv3bjx79gwtujjieZcpWpvz6LRuqF+5jNbGJ8PEQElE7/Tw4UNs376dzccNhIODA2xtbeHv7y92KaRDeXl5CA0NxfLwBKSWbQSJmeZ/wDM3k2BU+1pY5NRU42OTYTMTuwAi0k8KhQIHDx6Ei4sLatasicWLF6Njx46IiorCrVu3MHv2bIZJPRUfH4/69euLXQbpWIkSJTBkyBCUqvuxVsIkABQqBUTGpWllbDJsFu/+FCIyJa9rPv7DDz+w+biByMnJQUpKCho0YIsXU5SVp0BSRo5W50hKz0F2nuI/zzSSaePvBiJi83Ejcvv2bQDgCqWJupeeDW2fYxMAJKZno2m1clqeiQwJAyWRCbt+/Tq2bt36j+bj27ZtY/NxA5aQkAAAXKE0UfkabBOkD/OQ4WCgJDIxWVlZCAwMhK+vr6r5+JgxY9h83EgkJCSgTJky7D9poopb6OZqhK7mIcPBQElkAt7UfHzXrl1sPm5kXl3I4TEF01TbxgoSQKvb3pK/5iH6OwZKIiOWkZEBmUz2j+bj06ZNY/NxI/aqrROZnpcvXyLs0CEUL8hDXrGyWpvHzsaSF3LoP7hmTWRkBEHA8ePH4enpiWrVqmH69OmoX78+QkNDkZiYiMWLFzNMGjG2DDIt+fn5CA0NxejRo2Fra4thw4ZB8uAGJFpaozQ3k8ChYWWtjE2GjT9iEBmJ1zUfX7JkCZuPm5CXL1/i/v37XKE0coWFhYiKioK/vz/27NmDjIwMNGnSBLNmzYKbmxvOx6dgfrR2WgcVKgWM7GCnlbHJsDFQEhkwhUKBsLAwbNmyBQcOHECxYsXg6uqKrVu3omvXrjxHZ2LYMsh4KZVKnDlzBv7+/ggMDERqairq1q2LiRMnwt3dHc2aNUNcXBxmz56N4OBg1B//PQor1oMGn/JWveXNZxfpdRgoiQwQm4/T67xqGcRAaRwEQcClS5fg7++PgIAAJCUloXr16vD09IS7uzs+/vhjSCQSPHnyBFOmTMH//vc/VK9eHXK5HJ36DIbj9yeRp8H2PhZmEngPaa6x8ci4MFASGYi8vDwEBQXB19eXzcfptRISElC6dGnY2tqKXQqp4caNG/D394e/vz/i4+NRqVIluLq6wt3dHZ07d4aZ2Z/XH3Jzc/HDDz9g2bJlAIBly5ZhypQpKFmyJABgsVNTzN17VWN1LXFqiprWlhobj4wLAyWRnmPzcXpfbBlkuG7fvo2AgAD4+/vj6tWrKFeuHIYNG4aNGzfCwcEBFhb//9e1IAgICAjA3Llzcf/+fUycOBELFy78T+9Rd3s7PMnKg094nNr1zXJsBDd7np2kN2OgJNJDbD5OH4ItgwzL/fv3ERgYCH9/f5w7dw5WVlZwdnbGd999h759+6JEiRL/+Zro6GjMmDEDZ8+ehZOTE8LCwtCoUaM3zjHJoQEqli6BhSHXoVAKKCzCoUpzMwkszCRY4tSUYZLeiYGSSE+w+TipKz4+Hu3btxe7DHqLtLQ07N69G/7+/jh58iRKlCiBgQMHYtasWRg4cCAsLV+/pZyQkIA5c+Zg7969aNOmDSIjI9GjR4/3mtPd3g6d61XE/H1XcTLhCczNJG8Nlq8+3qmuDbyHNOc2N70XBkoikbH5OGnCy5cvkZyczAs5eujp06fYt28f/P39ERERATMzM/Tp0we//fYbnJ2dUbbsm5uQZ2RkYMmSJfjpp59ga2uL3377DZ6enqpzlO+rprUldoxrj/jUTMhikhAZl4ak9Jx/dKuU4M+m5Q4NK2NkBzve5qYikQiCoM0XmojoNQRBQFRUFLZs2YI9e/agsLAQTk5O8PLygqOjI8zNzcUukQzMjRs30LRpU5w4cQJdu3YVuxyTl5WVhZCQEPj7++Pw4cNQKBTo0aMH3N3dMXToUFSsWPGtX5+Xl4eNGzdi6dKlUCgUmDdvHqZNm4ZSpUpprMbsPAUS07ORr1CiuIUZattY8QUc+mD8nUOkQ2w+TtoSHx8PgC2DxPTy5UscOnQI/v7+OHDgAF6+fIlOnTphzZo1GD58OKpWrfrOMQRBwO7duzF37lwkJibis88+w6JFi7Ryc9+qhAWaViun8XHJNDFQEmmZQqHA4cOH4evry+bjpDUJCQmwsrLiDyY6lp+fj6NHj8Lf3x9BQUHIzMxE69atsWjRIri5uaFWrVrvPdbp06cxY8YMnD59GgMHDsT+/fvx0UcfabF6Is1hoCTSEjYfJ11iyyDded3Th40bN8bMmTPh5ub21lvXr3Pnzh3MmzcPgYGBaNmyJY4ePYpevXppqXoi7WCgJNIgNh8nsbBlkHa96enDCRMmwN3dHc2bNy/y/38/ffoUy5Ytw48//oiKFSti27ZtGDVqFM9Qk0FioCTSADYfJ7ElJCTAw8ND7DKMyuuePqxWrRqkUinc3d1hb2//QT8k5ufnY9OmTViyZAny8vLwzTffYPr06fyzggwaAyXRB2LzcdIXubm5SEpK4oUcDfn304cVK1ZUPX3YpUuXIrfseUUQBOzbtw9z5szBnTt3MG7cOCxevPi9LusQ6TsGSqIieNV8fMuWLfDz80N2djabj5Po7t69C0EQuOWthtc9fTh06FBs2LABPXv2/MfThx/i7NmzmDlzJk6ePIl+/fph7969aN68uYaqJxIfAyXRe3hd8/Hp06ez+TjpBbYM+jD/fvrQ0tLynU8fFlViYiLmz58PPz8/NG/eHGFhYXB0dNRA9UT6hYGS9J5YzXff1Hx8xYoVbD5OeiUhIQGWlpbcOn0Pr3v6cMCAAZg5cyYGDhyosXOMz58/h7e3N77//ntUqFABvr6+GDNmDP/cIKPFQEl6SfU82K00JGW85nkwa0s4NKoMz/Z2aGCr2efB2HycDE1CQgJbBr3Fm54+3L59O5ydnVGunOaaexcUFODnn3/G4sWLkZOTg7lz52LmzJkoXbq0xuYg0kd8epH0SnJGDubvu4qTCU9gbiZBofLNvz1ffbxr/YrwHtIcNa0tP3jeNzUf9/LyYvNx0nt9+vRB2bJlsWfPHrFL0RvqPn1YVIIgYP/+/Zg9ezbi4uIwZswYLF26FNWrV9foPET6ioGS9Ib/uSQsDLkOhVJ4a5D8N3MzCSzMJFjs1BTu9nZFmvN1zcfHjx/P5uNkUOrUqQM3NzesWLFC7FJE9bqnDzt27Ah3d3e4urpq7UjAhQsXMHPmTBw/fhy9e/eGj48PWrZsqZW5iPQVt7xJL2yIjIdPeNwHfW3hXwF07t6reJKVh0kOb7/pyubjZEzy8vJMumVQQUEBjhw58tqnD0eMGKHVS3PJycmYP38+du7ciY8++ggHDx5E//79+WcImSQGShKd/7mkDw6T/+YTHodKpUvA7TUrlWw+Tsbo7t27UCqVJtUySNNPHxbVixcvsGLFCqxbtw5ly5bF//73P4wbN07t1kJEhoy/+0lUyRk5WBhyXaNjfhtyHZ3qVURNa0s2HyejZyotg/7+9OGuXbvw6NEj1KlTR62nD4tKoVDA19cXCxcuxIsXLzBjxgzMmTMHZcpo9mIgkSFioCRRzd93FYoinJd8HwqlgC+3R6PKH7vZfJyMXkJCAkqVKmWULYPe9PShh4eHWk8ffkgdoaGhmDVrFv744w+MHj0ay5YtQ40aNbQ+N5GhYKAk0cSnZuJkwhONj1uoFBCbVoBLv19i83Eyeq9aBn3oc4D6SFtPH36Iy5cvY+bMmYiIiECPHj2wc+dOtGnTRmfzExkKBkoSjSwm6Z2tgT6UGYDR3r9gsTOfNiPjFh8fbxTb3dp++rCoUlJS8M0332D79u1o2LAhQkJCMGjQIF64IXoDBkoSTeStNK2ESQBQAoiK1/zqJ5G+SUhIgKurq9hlfBBdPH1YVFlZWVi1ahV8fHxgZWWFDRs2YPz48ShWrJjOayEyJAyUJIqsPAWSMnK0OkdSeg6y8xQ6eaaRSAz5+fm4d++eQa1Q6urpw6IqLCzEL7/8ggULFuDZs2eYNm0a5s6dq9FXdIiMGf+mJVHcS8+GtjvqCwAS07PRtBr/QiDj9KplkL4HSl0+ffghDh8+jFmzZuHatWvw9PTEsmXLUKtWLVFrIjI0DJQkinyF0qjmIRJDQkICAOhlD8o3PX24adMmrTx9+CGuXr2KmTNnIjw8HF27dsXZs2dhb28vdllEBomBkkRR3EI3tzR1NQ+RGOLj41GyZElUq1ZN7FIAvPnpQx8fH60+fVhUDx48wLfffott27ahXr162LdvH5ydnXnhhkgNDJQkito2VpAA2t32FgQcCvwN6NMTH330Ef+yIKOjDy2DxHz6sKiys7Ph4+ODVatWoVSpUli/fj0mTJjA3rREGsBASaKwKmEBO2tL3NPixRyL3Gf4es5MzJqWD1tbW/Ts2RM9e/ZEr169UKdOHa3NS6QrYrUMEvvpw6IqLCzE9u3b8c033yA9PR1Tp07F/PnzUb58ebFLIzIaDJQkGodGlbEj5p5WWgeZm0kwsmdrzPZ+ilOnTiEiIgLHjh1DQEAAlEolateujV69eqlCZpUqVTReA5G2JSQkYNiwYTqZSx+ePvwQR48exYwZMxAbGws3NzcsX76cP1ASaQEDJYnGs70dfj2dqJWxC5UCRnawg6WlJXr37o3evXsDAJ49e4aoqCgcO3YMERER2Lp1KwCgadOmqtXL7t27c+WC9F5+fj4SExO1ukKpL08ffojr169j1qxZOHToEDp16oTTp0+jQ4cOYpdFZLQkgiBou3sL0RuN2hqDU3fSNbpKaW4mQae6Ntgxrv07P/fRo0eIjIxUrWDevXsXZmZmaNu2rWoFs3PnzrC0tNRYfUSaEBcXh0aNGiEiIgI9e/bU6Nj69PRhUaWmpuLbb7+Fr68vateujZUrV2LYsGF6G3yJjAUDJYkqOSMHvddFIU+D7X1KWJjh6LTuqGld9BB49+5d1erlsWPHkJqaiuLFi6NTp06qFUx7e3u+mkGiCw0NxcCBA5GUlISaNWuqPd6bnj50d3cX5enDosrJycHatWuxcuVKFCtWDAsWLMAXX3whyms7RKaIgZJE538uCXP3XtXYeCuHNoebvZ3a4wiCgBs3bqjC5fHjx/H8+XOULl0a3bp1U61gtmjRQq9XbMg4ff/995g7dy6ys7M/+Pffm54+dHd3F+3pw6JSKpXYuXMnvv76a6SmpmLSpEn45ptvYG1tLXZpRCaFgZL0wobIePiEx6k9zizHRvjSQTtnyhQKBS5duoSIiAhEREQgOjoaubm5sLGxgYODA3r16oVevXqhfv363F4jrZs8eTIiIyNx7dq1In3dm54+dHd3F/Xpww8RGRmJGTNm4NKlSxg+fDhWrFiBevXqiV0WkUlioCS94X8uCQtDrkOhFIp0ptLcTAILMwmWODXVyMrk+8rLy8Pp06dVW+QxMTEoLCxEjRo1VKuXvXr1QvXq1XVWE5mOfv36oWTJkggKCnrn5z579gx79+79z9OH7u7uevH0YVHdvHkTs2fPxv79+9G+fXusWbMGnTt3FrssIpPGQEl6JTkjB/P3XcXJhCcwN5O8PVgqCwEzc3StXxHeQ5p/0JlJTcrMzMTJkydVW+SXL18GADRs2FAVMB0cHGBjYyNqnWQc6tevDxcXF/j4+Lz246+ePgwICMChQ4dUTx+6u7vrzdOHRZWWlobFixfj559/Rs2aNbFixQqMGDGCOwJEeoCBkvRSfGomZDFJiIxLQ1J6zj9e1JEAsLOxRKWCNOxfOxu3L/2OGjVqiFXqGz158gSRkZGqFcz4+HhIJBK0atVKtXrZtWtXlC5dWuxSycAUFBSgVKlS2LhxIyZMmKD639/09KG7uzuGDx+uN080FtXLly/x/fffw9vbG2ZmZvjmm28wadIklCxZUuzSiOgvDJSk97LzFEhMz0a+QoniFmaobWMFqxIWyMzMRNWqVTFnzhwsWLBA7DLfKTk5WRUuIyIi8ODBA1hYWKB9+/aqFcwOHToYxEUIEld8fDwaNmyIo0ePolu3bq99+tDd3V3vnj4sKqVSCT8/P8yfPx8PHjzAF198gQULFhjk6iqRsWOgJIM2btw4RERE4M6dOwZ101oQBMTFxakCZmRkJDIyMlCqVCl06dJFdcGndevWMDc3F7tc0jMHDhzA4MGD4eHhgbCwMNXThx4eHnr59OGHOHHiBGbMmIHz589jyJAhWLFiBRo2bCh2WUT0BgyUZNBOnz6NTp06ISwsDI6OjmKX88GUSiWuXLmiOn954sQJZGdno3z58ujRo4dqi7xJkyY8L2ai/v704a+//orMzEzUrl1b9WqNvj59WFRxcXGYM2cOgoKC8PHHH2PNmjXo1q2b2GUR0TswUJJBEwQBzZs3x0cffYTAwECxy9GY/Px8nD17VrWCefr0aRQUFKBKlSqqcNmrVy/UqlVL7FJJi9709GHlypXx7Nkz3LlzxyhCJPDnmeMlS5Zg06ZNqFatGpYvXw53d3eD2nkgMmUMlGTw1q9fj9mzZyMlJQWVKlUSuxytyMnJQXR0tCpgXrhwAYIgoG7duqrzlz179kTlypXFLpU04F1PHw4aNAjFihVDcHCw2KWqLTc3Fz/++COWLVsGQRAwf/58TJkyBaVKlRK7NCIqAgZKMnjp6emoVq0avL29MWPGDLHL0YmnT58iKipKtUV+48YNAECzZs1Uq5fdunUzuP6CpuzOnTuqpw9jY2Pf+vRhgwYN4OTkhDVr1ohYsXoEQUBAQADmzZuH5ORkTJw4EQsXLjTaHwqJjB0DJRkFDw8PXL58GTdu3DCaLcCiePjwIY4dO6Zawbx37x7MzMxgb2+v2iLv1KkTV330zIc8fVhQUABLS0v8+OOPmDhxoghVq+/333/HjBkzEBMTg8GDB2PVqlVo3Lix2GURkRoYKMkoREREoHfv3jh58iS6dOkidjmiEgQBd+/eVbUnOnbsGB4/fowSJUqgU6dOqi1ye3v7f6x6kW6kpaVhz5498PPz+6CnDxMSEtCgQQMcOXIEvXv31lHVmnH79m3MmTMHe/bsQZs2beDj4wMHBwexyyIiDWCgJKOgVCrRoEEDdO3aFb/++qvY5egVQRBw7do11eplVFQUXrx4gTJlyqBbt26qLfJmzZrxAoSWPHv2DPv27VM9fQgAjo6OH/T04eHDh9G/f38kJiYazKWsjIwMLF26FBs3bkTlypXh7e2NkSNH8vcbkRFhoCSj4e3tje+++w4PHjxA+fLlxS5HbykUCly4cEG1ehkdHY28vDxUqlQJDg4Oqi3yevXqmeTxAU3R1tOHGzZswIwZM5CTk6P3PUrz8vKwceNGLF26FAqFAnPnzsW0adNgaSnuM6lEpHkMlGQ0Hjx4ADs7O/z444/4/PPPxS7HYOTm5uLUqVOqFcxz586hsLAQdnZ2qnDZs2dPg322T5dyc3NVTx/u379fK08fTp06FeHh4fjjjz80ULF2CIKAPXv2YM6cOUhMTMT48eOxePFi2Nrail0aEWkJAyUZFWdnZ9y/fx8XLlwQuxSD9eLFC5w4cUK1ghkbGwsAaNy4sSpc9ujRA9bW1iJXqh8KCgpw9OhR+Pv7Y9++fVp/+nDgwIEwNzdHSEiIRsfVlDNnzmDGjBk4deoUBgwYgNWrV+Ojjz4Suywi0jIGSjIq+/fvh5OTEy5cuIA2bdqIXY5RSEtLw/Hjx1UBMyEhARKJBK1bt1adv+zSpcs7L5MYk8LCQpw4cQL+/v7YvXu3Tp8+bNiwIQYNGoS1a9dqbY4PcffuXcybNw8BAQFo0aIF1qxZY3CXhojowzFQklFRKBSoVasWnJ2d8dNPP4ldjlG6d+/eP1oUPXz4EMWKFUOHDh1UW+Tt27dH8eLFxS5VowRBUD19GBgYiEePHqFOnTpwd3fX2dOHCoUCpUqVwg8//KA3xzqePn0Kb29v/PDDD7CxscGyZcswevRovT/fSUSaxUBJRuebb77Bjz/+iIcPH/Lwv5YJgoBbt26pWhRFRkbi2bNnsLS0RNeuXVVb5K1atTLIgCEIAi5fvqx6+vDevXuoVq0a3Nzc4O7uDnt7e51eXLp9+zbq16+P8PBw9OnTR2fzvk5+fj7+97//YfHixcjLy8Ps2bMxY8YMk1qpJqL/x0BJRufOnTuoV68efv31V3zyySdil2NSCgsLcfnyZdXq5cmTJ5GTk4MKFSqgR48eqi3yRo0a6fUN8hs3bqherYmLi/vP04ditbsJCwtDv379cOfOHdSpU0eUGgRBQFBQEObMmYPbt29j7NixWLJkCapWrSpKPUSkHxgoySj16dMHubm5OHnypNilmLT8/HzExMSozl+eOXMGBQUFqFatmur98V69esHOzk7sUv/z9GHZsmUxdOhQeHh4/OfpQ7Fs3LgR06ZNw8uXL0VZ8T137hxmzJiBkydPwtHRET4+PmjevLnO6yAi/cNASUYpICAA7u7uuHHjBpo0aSJ2OfSX7OxsnDx5UrWCeenSJQiCgPr166vCpYODg87ec05JSVE9fXj27FlYWlrCyckJ7u7u6Nev32ufPhTTV199hcOHD+PmzZs6nffevXuYP38+5HI5mjVrBh8fH/Tt21enNRCRfmOgJKOUl5eH6tWrY8yYMfDx8RG7HHqDjIyMf9wgfxWUWrRooTp/2a1bN5QtW1Zjc756+tDf3x8nT55E8eLFi/T0oZgGDRoEiUSC/fv362S+58+fY/ny5Vi/fj0qVKiApUuX4tNPPzXI87BEpF0MlGS0pk+fjh07diAlJcXobhwbq5SUFERGRqou+SQnJ8Pc3Bz29vaq85cdO3ZEyZIlizTu654+7NOnD9zd3eHi4lKkpw/F1KhRIwwYMADr1q3T6jwFBQXYvHkzFi1ahOzsbMyaNQuzZs1C6dKltTovERkuBkoyWjdu3EDTpk0RGBgIV1dXscuhIhIEAbdv31atXh47dgxPnjxByZIl0blzZ9UWedu2bV97vjErKwv79++Hv7+/6unD7t27w93dHcOGDfvgpw/FolAoYGlpiXXr1uHLL7/UyhyCIGD//v2YPXs24uLiMGbMGCxduhTVq1fXynxEZDwYKMmode7cGaVLl0ZYWJjYpZCalEolrl69qjp/GRUVhaysLJQtWxbdu3dHr1690LlzZyQlJSEgIOAfTx+6ubnB1dXVoJ+PvHv3LurWrYuwsDA4OjpqfPyLFy9ixowZOH78OHr16gUfHx+0atVK4/MQkXFioCSjtm3bNowbNw537tzR+BN4JK6CggKcP38eR44cwZ49e3Dt2jUolUoAQPny5dGzZ09MnToVXbt21esWRe8rPDwcffv2xe3bt1G3bl2NjZucnIyvv/4aO3bsQJMmTeDj44P+/fsbxX8zItIdBkoyatnZ2ahatSq++uorLFmyROxySENe9/Rhw4YN0aFDB5QsWRJXrlzBuXPnoFQqUatWLdUFn549expsv8SffvoJX331FXJycjTSwigzMxMrVqzA2rVrUaZMGSxZsgReXl560R6JiAwPAyUZvYkTJ+LAgQO4d+8eb6casNc9fVi7dm3V04ctWrT4x6ra8+fPERUVpdoiv3btGgDgo48+Up2/7N69OypUqCDWt/RO2XkKJKZnI1+hxA/r1+L3w0GIu3FVrTEVCgV8fX2xcOFCvHjxAtOnT8ecOXM0epOeiEwPAyUZvfPnz8Pe3h4HDhzAwIEDxS7HYPw9zBS3MENtGytYldDt6tXrnj6sWrWq6unDdu3avffWbGpqquoG+bFjx3Dnzh2YmZmhTZs2qhXMLl26iP5cZ3xqJmQxSYi8lYakjBz84w9oQUAtGys4NKoMz/Z2aGBb5r3HFQQBhw4dwqxZs3Djxg2MGjUKy5YtQ82aNTX+PRCR6WGgJKMnCALatGmD2rVrY9++fWKXo9feFmYkAOysLT8ozBTVH3/8AX9//388fTh8+HDV04eaWGlOTExUrV4eO3YMjx49QrFixdCxY0dVi6J27dqhWLFiGviO3i05Iwfz913FyYQnMDeToFD55j+aX328a/2K8B7SHDWt3x6Cr1y5ghkzZiAiIgI9evTAmjVr0KZNG01/C0RkwhgoySRs3LgRU6dOxf3791GlShWxy9E72gwz7+tNTx+6u7ujZ8+eWg12giDgjz/+UIXLyMhIPH/+HFZWVujWrZtqi7xly5Zaecfb/1wSFoZch0IpvPW//b+Zm0lgYSbBYqemcLf/7/OVKSkpWLBgAX799Vc0bNgQq1atwuDBg3nhhog0joGSTMLTp09RrVo1LFy4EHPnzhW7HL2irTDzPvT16cPCwkJcvHhRtYIZHR2Nly9fwtraGg4ODqot8oYNG6odzjZExsMnPE7tmmc6NsQkhwYA/uzBuXr1avj4+MDS0hKLFi3CZ599prPVViIyPQyUZDJGjx6NU6dOIT4+nis0f9FGmHmXfz99WKxYMdXTh4MGDdLLpw/z8vJw5swZVcCMiYmBQqFA9erVVauXvXr1Qo0aNYo0rv+5JMzdq94lm79b7tIM2VePYMGCBXj69Cm++uorzJs3z2BeAiIiw8VASSbjxIkT6N69O44dOwYHBwexyxGdpsPMyqHN4faGlUpjefrwlczMTERHR6u2yC9fvgxBENCgQQPV6qWDg8NbX+NJzshB73VRyFMoNVdYYQFSNk/EiIG9sGzZMvZeJSKdYaAkkyEIAho3boyPP/4YMplM7HJEpY0wU8LCDEendVedqfz704eHDx9GQUGBQT99+Dbp6emIjIxUrWDGxf256tuqVSvVCmbXrl1Rpsz/X2QatTUGp+6kF+mYwTspC9HCtiRCpmv+JR0iordhoCSTsnr1aixYsAAPHjyAtbW12OWIRhthxtxMgva1K8C14iP4+/urnj7s0KED3N3dDf7pw6K4f/++KlxGREQgJSUFFhYWaNeuHXr16oVG7Xrg699fam3+o9O6oX5l7d3CJyL6NwZKMimpqamoUaMG1qxZgylTpohdjijiUzPRZ/0JrY2fsmUimtWsCHd3d4wYMQJ16tTR2lyGQBAExMfHqwJmZGQklK2HoUybgZCYab7RvrmZBKPa18Iip6YaH5uI6E0YKMnkDB8+HLdu3UJsbKxJXs5ZFHIdO2LuaXar9S8SCBjcuDx++KSLxsc2FkqlEp28w/Eou1Brc9SysUTUTJ4TJiLd0XxDNSI95+XlhWvXruHcuXNilyKKyFtpWgmTACBAgiuPC7QytrHIKVAiVYthEgCS0nOQnafQ6hxERH+n23fUiPRAnz59YGdnhy1btqBdu3Zil6NTWXkKJGXkaHWOpPQcPHryFCXM/+znqFAoUFhYqPrHkP5dG2OjQg1YS1dr9ddAAJCYno2m1Qzr9jwRGS4GSjI55ubmGDt2LFavXo21a9f+4+atsbuXng1tn3ERANg1bYuCtLtanun/WVhYwNzcXPVPUf79fT63RIkSGhsrrdAS/hna/2+Sr8l2RERE78AzlGSSkpKSULt2bWzevBleXl5il6Mzl5KeYsimU1qf58sGOahTVqJ2+Hqff9fGU4jadP3Bcwz8MVrr8xyc3IUrlESkM1yhJJNkZ2eHfv36wdfX16QCZXEL3YSvAf0cGWbeoLaNFSSAVleKJX/NQ0SkK4b1oz2RBnl5eSEmJgZXr2rutRh99yrMaBPDzOspFAqEh4fjywleUDx7pNW57GwsYVWC6wVEpDsMlGSyBg0ahMqVK8PX11fsUnTGqoQF7P56yUZbGGb+nyAIOH36NKZMmYLq1aujb9++OH36NJrZSGCmpWRvbiaBQ8PK2hmciOgNGCjJZBUvXhxjxozBjh07kJubK3Y5OuPQqDLDjJZdv34dX3/9NerVq4dOnTphz549GDVqFC5cuICbN2/ih8mu0FLnJhQqBYzs8Po31YmItIWBkkzauHHj8PTpU+zbt0/sUnTizp07uBCwnmFGC+7du4eVK1eiZcuWaNasGTZt2oTevXsjMjISSUlJ8PHxQZs2bSCRSNDAtgzsa5QGlJrtR2luJkHX+hX57CIR6RwDJZm0hg0bolu3btiyZYvYpWjV8+fPMXv2bDRp0gSXog6hnlU+zDW8TGmKYebx48f46aef0KVLF9SuXRuLFy/GRx99hJCQEDx69AibN29Gjx49YG7+zycWQ0NDEbn6MwgaDpQWZhJ4D2mu0TGJiN4HAyWZvPHjxyMyMhIJCQlil6JxCoUCmzZtQv369bFx40Z8/fXXuHXrFn79oi8sNBwoTSXMZGZmYufOnRgwYACqVq2KKVOmoFy5cti5cyfS0tLg5+eHwYMHo3jx4v/5WoVCgXnz5mHgwIHo2Lwhvh3YWKO1LXFqippaPiNLRPQ6DJRk8oYNG4by5ctj69atYpeiUYcPH0bLli3x5ZdfYtCgQYiPj8e3334LKysr1LS2xGKnphqdz5jDTF5eHoKDg+Hm5gZbW1uMGjUKWVlZ2LBhAx49eoSDBw/C09MTpUuXfuMYKSkp6NmzJ1avXo1Vq1YhODgY43o0wUzHhhqpcZZjI7jZm+ZxAyISHxubEwGYPHkydu/ejaSkJBQrVkzsctRy7do1zJw5E2FhYejevTvWrl2LNm3avPZzN0TGwyc8Tu05Zzk2wpcO9dUeR58UFhbixIkTkMvl2L17N549e4aWLVtCKpXC3d0ddnbvH97Cw8MxcuRIFC9eHAEBAejcufM/Pu5/LgkLQ65DoRSK9M66uZkEFmYSLHFqyjBJRKJioCQCcOXKFbRq1QpBQUFwdnYWu5wPkpaWhoULF2Lz5s2oW7cuVq9eDWdnZ0gkb9/aZpj5f4Ig4MKFC5DL5fD398fDhw9Rt25dSKVSeHh44KOPPirSeIWFhViyZAmWLl0KR0dH7NixA5UqVXrt5yZn5GD+vqs4mfAE5maSt/5avPp41/oV4T2kudGuDBOR4WCgJPqLvb09bG1tceDAAbFLKZLc3Fx8//33WLZsGczNzbFw4UJ88cUXrz3D9yamHmZu3boFPz8/yOVyxMfHw9bWFm5ubpBKpWjXrt07Q/nrPHr0CJ6enjh+/DiWLl2KuXPnvtczkfGpmZDFJCEyLg1J6Tn/eFFHgj/7fDo0rIyRHexM6gIUEek3Bkqiv2zevBmff/457t27hxo1aohdzjsJgoBdu3Zhzpw5uH//Pr744gt8++23sLGx+eAxTSnMpKSkwN/fH3K5HBcvXkTZsmUxbNgweHh4wMHBARYWH96cPTIyElKpFADg5+eHHj16fNA42XkKJKZnI1+hRHELM9S2sWLTeCLSSwyURH958eIFqlatirlz52LBggVil/NWMTExmDZtGk6fPo3Bgwdj9erVaNSokUbnMMYwk5GRgT179kAulyMqKgrFixfHoEGDIJVKMWDAAJQsWVKt8ZVKJby9vbFw4UL06NEDcrkctra2GqqeiEh/MVAS/c24ceMQERGBO3fuvNf2pK4lJSVh3rx5kMvlaNGiBdauXYtevXqJXZZey87Oxv79+yGXy3H48GEUFhaid+/e8PDwwJAhQ1CuXDmNzPP48WOMHDkSR44cwbfffosFCxb8p/8kEZGxYqAk+pvTp0+jU6dOCA8PR58+fcQuRyUzMxMrVqzA2rVrUa5cOSxbtgxjxoxhYHmDgoICHDlyBHK5HEFBQcjOzkaHDh0glUoxYsQIja8aRkdHw93dHfn5+ZDJZHr1e4eISBcYKIn+RhAENGvWDE2bNkVgYKDY5aCwsBDbtm3DN998g+fPn2PGjBmYM2cOypQx7POL2qBUKvH777/Dz88PgYGBSE9Px0cffaS6oV23bl2tzOnj44P58+ejc+fO8PPzQ7Vq1TQ+DxGRvjPsA1FEGiaRSDB+/HjMnj0bjx8/fmOLF12IiIjA9OnTERsbC09PT3h7exep96EpEAQBsbGxkMvl8PPzQ3JyMuzs7ODl5QWpVIrmzZt/0A3t95Geno5PPvkEBw8exLx587BkyRK1LvIQERkyrlAS/cuTJ09QvXp1LF++HNOnT9f5/Ddv3sSsWbNw4MABdOrUCWvXrkX79u11Xoc+u3PnjqrNz40bN1CxYkW4urpCKpWiU6dOWj//eubMGbi5uSErKws7duzAgAEDtDofEZG+Y6Akeg13d3dcuXIFN27c0NoK17+lp6dj8eLF2LRpE2rUqIFVq1Zh+PDhOptf3z169AiBgYGQy+WIiYmBlZUVhgwZAqlUit69e+vkhSNBELB+/XrMnj0b9vb2CAgIQM2aNbU+LxGRvmOgJHqNiIgI9O7dG9HR0f95Jk/T8vPzsXHjRixZsgSFhYX45ptvMGXKFLVb2BiD58+fY9++fZDL5YiIiIC5uTn69+8PqVSKwYMHw9JSd03Vnz17hrFjx2Lfvn2YMWMGli9fbvDPdBIRaQoDJdFrKJVK1K9fH926dcOvv/6qlTkEQUBQUBBmz56NO3fu4LPPPsPixYtRuXJlrcxnKHJzc3Hw4EHI5XIcPHgQ+fn56NGjB6RSKYYOHQpra2ud13T+/HmMGDECT58+xfbt2+Hk5KTzGoiI9Jn+Ndoj0gNmZmbw8vJCYGAgnj9/rvHxL168CAcHBwwdOhT16tVDbGwsNm3aZLJhUqFQ4MiRI/j0009ha2uL4cOH4969e/D29kZycjKOHTsGLy8vnYdJQRCwceNGdO7cGRUrVsSlS5cYJomIXoOBkugNxowZg7y8PPj5+WlszJSUFIwZMwYff/wxHj9+jEOHDuHw4cNo2rSpxuYwFIIg4MyZM5gyZQqqV68OR0dH/P7775g+fTpu3bqF8+fPY/r06ahevboo9b148QLu7u6YNGkSJkyYgJMnT6J27dqi1EJEpO+45U30Fk5OTkhJScGFCxfUGic7Oxs+Pj5YtWoVLC0tsWTJEowfP94k28xcv35ddUP77t27qFatGtzd3SGVStGmTRu9uIR05coVuLq6IjU1FVu3bsXw4cPFLomISK+Z3t9mREUwfvx4ODk54eLFi2jTpk2Rv16pVGLnzp2YP38+Hj9+jK+++grz58/X2HN/huLevXvw9/eHXC5HbGwsypcvD1dXV3h4eKBbt2568+KPIAjw9fXF5MmT0aRJE1y4cAH169cXuywiIr3HFUqit1AoFLCzs8OQIUOwcePGIn3tiRMnMG3aNFy8eBEjRozAihUrUKdOHS1Vqn8eP36M3bt3Qy6XIzo6GqVKlYKTkxOkUin69u2LEiVKiF3iP2RlZWHixImQyWSYOHEi1q1bx5v2RETviWcoid7CwsICn376KWQyGXJyct7raxISEjBs2DB0794d5ubmiI6ORkBAgEmEyczMTOzcuRMDBgxA1apVMXnyZJQtWxY7duxAamoq/P394eTkpHdh8tq1a7C3t0dwcDDkcjk2bdrEMElEVAQMlETvMG7cODx//hy7d+9+6+c9e/YMM2bMwEcffYRz585BJpPhzJkzWu9jKba8vDyEhITA3d0dtra2GDVqFDIzM/Hjjz/i4cOHOHjwIEaOHKm3749v374d7dq1Q7FixXD+/Hl4eHiIXRIRkcHhljfRe+jduzfy8vJw8uTJ/3ysoKAAP//8MxYtWoTc3FzMmzcP06ZN02nTbV0rLCzEiRMnIJfLsXv3bjx79gwtW7aEh4cH3N3dUatWLbFLfKecnBxMmjQJ27Ztw9ixY/Hjjz8a9a8ZEZE2MVASvYeAgAC4u7vjjz/+QOPGjQH8eYEjNDQUM2fOxK1btzB27FgsXboUVatWFbla7RAEARcvXoRcLoe/vz8ePHiAOnXqQCqVwsPDw6BaH928eROurq64ffs2Nm3ahE8++UTskoiIDBoDJdF7yMvLQ7Vq1TB27FisXr0aV69exfTp03H06FH07NkTa9euRcuWLcUuUyvi4uIgl8shl8sRHx+PypUrw93dHR4eHmjfvr1etPkpCrlcjs8++wx2dnbYtWuXQQVhIiJ9xbZBRO+hRIkSGD16NLZt24aMjAz8+uuvqF+/PkJCQjBo0CCDC1XvkpKSgoCAAMjlcly4cAFlypTBsGHDsHHjRjg4OBhk/8zc3FxMnToVmzdvxqhRo/DTTz+hdOnSYpdFRGQUDO9vBSIRvHz5EoIgID09HQEBAVi3bh0+//xzFCtWTOzSNCYjIwN79uyBXC5HVFQUihcvjoEDB2LevHkYMGAASpUqJXaJHywhIQGurq64efMmtmzZgnHjxhndDwFERGLiljfRWwiCAH9/f8ydOxcPHjxApUqV0LhxYxw7dkzs0jQiJycH+/fvh1wux6FDh1BYWIhevXpBKpViyJAhRtGAfdeuXRg3bhyqVKmCXbt2Ge3RBCIiMbFtENEbnD59Gh07dlQ9CXjjxg0sW7YMx48fR2JiotjlfbCCggKEhoZi1KhRqvOQqamp8PHxQUpKCsLDwzFmzBiDD5N5eXmYPHkyRowYgQEDBuD8+fMMk0REWsJASfQviYmJcHd3R6dOnZCfn4/IyEjs27cPDRo0gKurK0qXLo1t27aJXWaRKJVKREdH44svvkDVqlUxcOBAXLhwAfPmzUNCQgLOnDmDKVOmoEqVKmKXqhF3795Fly5dsHnzZmzcuBF+fn4oW7as2GURERktbnkT/eXFixdYvnw51q1bB2tra3h7e2PUqFH/eWd6woQJCA0NRWJiot68Qf06giAgNjYWfn5+8PPzQ1JSEmrWrAkPDw9IpVK0aNHCKM8RBgcHY8yYMbC2tkZgYCDatm0rdklEREaPgZJMnkKhwNatW7FgwQJkZWVh1qxZmDVr1htvAJ8/fx729vY4ePAgBgwYoONq3+3OnTvw8/ODXC7HjRs3YGNjgxEjRkAqlaJTp04wMzPOjYmCggLMnTsXa9euxZAhQ/DLL7+gfPnyYpdFRGQSGCjJpIWHh2PGjBm4du0aRo0aBW9vb9SoUeOtXyMIAlq3bo26deti7969Oqr07VJTUxEYGAi5XI4zZ87AysoKLi4ukEql6NOnj1HdRn+dpKQkuLm54fz58/Dx8cGUKVOMcvWViEhfsW0QmaQbN25g5syZOHToELp27Ypz587h448/fq+vlUgk8PLywrRp0/Do0SPRzh0+f/4c+/btg1wuR0REBMzNzdG/f3/4+/tj0KBBsLKyEqUuXXt1wah06dKIjo5G+/btxS6JiMjkGOfeF9EbPH78GF9++SVatGiBW7duYffu3YiKinrvMPmKp6cnLCwssH37di1V+nq5ubnYu3cvhg8fDltbW4wdOxYFBQX43//+h0ePHiE4OBhubm4mESYVCgXmzZuHgQMHolOnTrh06RLDJBGRSLjlTSYhLy8PP/74I7777jsAwIIFCzBp0iSUKFHig8ccNWoUzpw5g7i4OK1uryoUCkRGRkIul2Pv3r148eIF2rZtC6lUCjc3N1SvXl1rc+urlJQUeHh44NSpU1i+fDlmzJhhtGdDiYgMAQMlGTVBELBnzx7Mnj0bSUlJmDhxIhYuXIhKlSqpPfaJEyfQvXt3REZGokePHuoX+zeCIODs2bOQy+UICAhAamoqGjRoAKlUCg8PDzRq1Eij8xmS8PBwjBw5EsWLF0dAQAA6d+4sdklERCaPgZKM1rlz5zB9+nRER0dj4MCBWL16NZo0aaKx8QVBQKNGjdCuXTvs3LlTI2PeuHEDcrkcfn5+uHPnDqpWrQoPDw94eHigbdu2Jn3RpLCwEIsXL8Z3330HR0dH7NixQyM/GBARkfq4R0RG5/79+xg1ahTatWuH58+fIzw8HAcOHNBomAT+/3LO7t27kZGR8cHjJCUlYdWqVWjVqhWaNm2KjRs3omfPnjh27BiSk5OxZs0afPzxxyYdJh89eoQ+ffpg2bJl+O677xAaGsowSUSkR7hCSUYjKysLq1atgo+PD8qUKYPvvvsOY8eO1Wrz8dTUVNSoUQNr167F5MmT3/vrnjx5gl27dkEulyM6OhqlSpWCk5MTPDw80K9fP7XOdhqbyMhIeHh4QCKRwM/PT+PHC4iISH0MlGTwCgsL8dtvv+Hrr79GRkYGpk+fjrlz5+rsqb1hw4YhPj4eV65ceesqYlZWFoKDgyGXyxEeHg5BEODo6AipVApnZ2eUKVNGJ/UaCqVSCW9vbyxcuBA9evSAXC6Hra2t2GUREdFrMFCSQYuMjMT06dNx+fJluLu7Y8WKFahVq5ZOazh06BAGDBiAmJgYtGvX7h8fy8/Px+HDhyGXyxESEoKXL1+ic+fOkEqlcHV15bbtGzx+/BgjR47EkSNH8O2332LBggV6/cwlEZGpY6AkgxQXF4fZs2cjODgYHTp0wNq1a9GxY0dRaiksLESdOnXQr18/bN68GYWFhTh58iTkcjl2796Np0+fokWLFpBKpXB3d9d54DU00dHRcHd3R35+PmQyGfr06SN2SURE9A58KYcMSkZGBpYuXYoNGzagWrVq8PPzg5ubm6gXVszNzfHpp5/Cx8cHJUqUwN69e/HgwQPUrl0bn3/+OTw8PNCsWTPR6jMUSqUSq1evxtdff43OnTvDz88P1apVE7ssIiJ6D1yhJINQUFCAn376CYsXL4ZCocD8+fMxdepUlCpVStS64uLi4Ofnh+3bt+Pu3bsoU6YMxowZA6lUivbt25v0zeyiSE9PxyeffIKDBw9i3rx5WLJkCSws+PMuEZGhYKAkvSYIAvbv349Zs2YhISEBXl5eWLJkiaiXM1JSUhAQEAC5XI4LFy6gTJkyGDp0KK5fvw5zc3OcOXNGtNoM0ZkzZzBixAhkZ2djx44dGDBggNglERFREbEPJemty5cvo3fv3nB2dkatWrVw+fJl/Pzzz6KEyadPn8LX1xc9e/ZEzZo1MW/ePNSqVQu7d+9Gamoqfv31V8ydOxcxMTG4du2azuszRIIgYN26dejatStq1KiBy5cvM0wSERkoBkrSOw8fPsS4cePQpk0bPHjwAAcPHkRYWBiaN2+u0zpycnIQEBAAFxcX2NraYsKECTA3N8fWrVuRmpqKPXv2YNiwYapt98GDB6Ny5crw9fXVaZ2G6NmzZxg2bBimT5+OqVOnIioqCjVr1hS7LCIi+kDc8ia9kZOTg7Vr12LFihUoWbIkFi9ejM8++wzFihXTWQ0FBQU4evQo5HI5goKCkJWVhfbt20MqlWLEiBGoUqXKW79+9uzZ2Lp1K1JSUlCyZEkdVW1Yzp8/jxEjRuDp06fYvn07nJycxC6JiIjUxEBJolMqlfDz88PcuXORmpqKKVOm4JtvvkH58uV1Nv+pU6fg5+eHwMBAPHnyBE2aNIFUKoWHhwfq1av33mPFxcWhUaNGkMvl8PDw0GLVhkcQBPz000+YPn06WrZsicDAQNSuXVvssoiISAMYKElU0dHRmD59Os6dO4dhw4Zh5cqVRQpwH0oQBFy9ehVyuRx+fn5ISkpCzZo14eHhAalUihYtWnzwDe3u3bvDwsICERERGq7acL148QJeXl7YtWsXJk+ejNWrV/N5SSIiI8K+HCSKO3fuYM6cOdi9ezfatm2LqKgodOvWTevz3r17F35+fpDL5bh+/TpsbGzg6uoKqVSKzp07w8xM/WPFXl5eGD16NG7fvq2TcKzvrly5guHDhyMtLQ27du3C8OHDxS6JiIg0jJdySKeeP3+O2bNno0mTJjh9+jR+++03nD17VqthMjU1FT/++CM6duyIunXrwtvbG61atcLBgwfx8OFDbNq0CV27dtVImASA4cOHo1y5cti6datGxjNUgiBgy5YtaN++PUqXLo0LFy4wTBIRGSlueZNOKBQKbN68GQsXLkROTg7mzJmDGTNmwMrKSivzvXjxAvv27YNcLsfRo0dhbm6Ofv36QSqVYvDgwVqb95VJkyZhz549SE5ONskG3VlZWZg4cSJkMhkmTpyIdevW8ZISEZERY6AkrTt06BBmzJiBmzdv4pNPPsGyZcu08qRebm4uQkNDIZfLceDAAeTn56N79+6QSqUYNmwYrK2tNT7nm1y+fBmtW7dGUFAQnJ2ddTavPrh27RpcXV2RnJyMLVu28HISEZEJYKAkrbl27RpmzpyJsLAwdO/eHWvXrkWbNm00OkdhYSEiIyMhl8uxZ88evHjxAm3atIFUKoWbmxtq1Kih0fmKwt7eHlWqVMH+/ftFq0HXfv31V3zxxReoV68edu3ahcaNG4tdEhER6QDPUJLGpaWlYeLEiWjZsiVu376NoKAgREZGaixMCoKAmJgYTJ06FdWrV0efPn1w8uRJTJs2DTdv3sSFCxcwY8YMUcMk8OflnNDQUNy/f1/UOnQhJycHn376KT799FN4eHggJiaGYZKIyIRwhZI0Jjc3F99//z2WLVsGc3NzLFy4EF988QWKFy+ukfH/+OMPyOVyyOVy3LlzB1WrVoW7uzukUinatm37wW1+tOXFixeoWrUq5s2bh2+++UbscrTm5s2bcHV1xe3bt7Fp0yZ88sknYpdEREQ6xkBJahMEAbt27cKcOXNw//59fPHFF/j2229hY2Oj9thJSUnw9/eHXC7HlStXUL58eQwfPhweHh7o3r07zM3NNfAdaM/YsWMRGRmJ27dva+wWuT6Ry+X47LPPYGdnh127dqFp06Zil0RERCIwvr/hSKdiYmLQuXNnuLm5oUWLFrh27Rq+//57tcLkkydP8L///Q/dunVDrVq1sHDhQjRq1AhBQUF49OgRtmzZgp49e+p9mAT+3PZOTEw0uibnubm5mDBhAjw9PTF06FCcPXuWYZKIyIRxhZI+SFJSEubNmwe5XI6WLVtizZo16NWr1wePl5WVheDgYMjlcoSHh0MQBPTp0wdSqRQuLi4oU6aMBqvXHUEQ0KxZMzRr1gwBAQFil6MRCQkJcHV1xc2bN/Hjjz9i3LhxenfcgIiIdMv0GuSRWjIzM7FixQqsXbsW5cuXx9atW/HJJ5980Gphfn4+wsLCIJfLERwcjJcvX6Jz5874/vvv4erqikqVKmnhO9AtiUQCLy8vzJkzB0+ePEHFihXFLkktu3btwrhx41ClShWcOXMGLVu2FLskIiLSA1yhpPdSWFiIbdu24ZtvvsHz588xc+ZMzJ49u8grh0qlEidOnIBcLsfu3bvx9OlTNG/eHFKpFO7u7qhdu7Z2vgERPXnyBNWrV8fy5csxffp0scv5IHl5eZg5cyY2bNgANzc3bN68GWXLlhW7LCIi0hMMlPROERERmD59OmJjY+Hp6Ynly5ejZs2a7/31giDg0qVLkMvl8Pf3R0pKCmrXrg2pVAoPDw80a9ZMi9XrB3d3d8TGxuL69esGtz189+5djBgxArGxsVi3bh0+//xzg/seiIhIu7jlTW908+ZNzJo1CwcOHEDnzp0RExODdu3avffXx8fHQy6Xw8/PD7du3UKlSpXg5uYGqVSKDh06mFQo8fLyQp8+fXDq1Cl07txZ7HLeW3BwMMaMGQNra2ucOnUKbdu2FbskIiLSQ1yhpP9IT0/H4sWLsWnTJtSoUQOrVq3C8OHD3ysAPnjwAAEBAZDL5Th//jzKlCmDoUOHQiqVomfPnib5rjXw51Z//fr10b17d2zbtk3sct6poKAAc+fOxdq1azFkyBD88ssvKF++vNhlERGRnmKgJJX8/Hxs3LgRS5YsgVKpxNdff40pU6agZMmSb/26p0+fYs+ePfDz80NkZCSKFSuGgQMHQiqVYuDAgShVqpSOvgP9tmzZMnh7e+PBgwcoV66c2OW8UVJSEtzc3HD+/HmsXr0aU6dONanVZCIiKjoGSgOSnadAYno28hVKFLcwQ20bK1iVUH/FTxAEBAUFYfbs2bhz5w4mTJiARYsWoXLlym/8mpycHBw4cAByuRyhoaEoLCxEz549IZVKMWTIEK5mvUZKSgrs7OywceNGTJw4UexyXuvgwYMYPXo0SpcujcDAQLRv317skoiIyAAwUOq5+NRMyGKSEHkrDUkZOfj7L5YEgJ21JRwaVYZnezs0sC16r8aLFy9i+vTpiIqKQr9+/eDj4/PGBtUFBQU4evQo/Pz8sG/fPmRlZaFdu3aQSqUYMWIEqlat+mHfpAlxcnLCgwcPcP78ebFL+QeFQoFvvvkGK1euxKBBg7B9+3ZYW1uLXRYRERkIBko9lZyRg/n7ruJkwhOYm0lQqHzzL9Orj3etXxHeQ5qjprXlO8dPSUnB119/jd9++w1NmjTBmjVr0K9fv/98nlKpxOnTpyGXyxEYGIgnT56gcePG8PT0hLu7O+rXr6/W92lqQkJC4OzsjIsXL6J169ZilwPgz98LHh4eOHXqFJYvX44ZM2YY5TORRESkPQyUesj/XBIWhlyHQim8NUj+m7mZBBZmEix2agp3e7vXfk52djZ8fHywatUqWFlZYcmSJfDy8vrPZZmrV6+qbmjfu3cPNWrUgIeHB6RSKVq2bMkzdR9IoVDAzs4OQ4YMwcaNG8UuB+Hh4Rg5ciSKFy+OgIAAg7qBTkRE+oOBUs9siIyHT3ic2uPMdGyISQ4NVP+uVCqxc+dOzJ8/H48fP8ZXX32F+fPn/+NyyN27d+Hn5we5XI7r16/D2toaI0aMgIeHB7p06cJVKw35+uuvsXHjRjx48ACWlu9eTdaGwsJCLF68GN999x0cHR2xY8cOo3iZiIiIxMFAqUf8zyVh7t6rGhtv5dDmcLO3w4kTJzBt2jRcvHgRI0aMwIoVK1CnTh0AQGpqKnbt2gW5XI7Tp0/D0tISLi4ukEql6NOnD4oXL66xeuhPt2/fRv369bF9+3aMHj1a5/M/evQIUqkUUVFRWLJkCebNm8cfFoiISC0MlHoiOSMHvddFIU+h1NiYxc0laBgfgIOBv8He3h7r1q1D586d8eLFC+zbtw9yuRwRERGQSCTo378/PDw84OTkBCsrK43VQK/Xu3dv5Ofn48SJEzqdNzIyEh4eHpBIJPDz80OPHj10Oj8RERknLkvoifn7rkJRhPOS7yOvQIGrJZtBJpPh+PHjSEtLg6urKypXroxPP/0UeXl5+Omnn/Do0SOEhITAw8ODYVJHvLy8cPLkSdy6dUsn8ymVSixduhS9e/dG06ZNcfnyZYZJIiLSGK5Q6oH41Ez0Wa+9lar2T8IRtms7nj9/jjZt2kAqlcLNzQ01atTQ2pz0drm5uahevTrGjh2L1atXa3Wux48fY+TIkThy5Ai+/fZbLFiwAObm5lqdk4iITAsDpR5YFHIdO2LuFelG9/sSlIUwv/07RjUtCQ8PDzRu3Fjjc9CHmTZtGmQyGe7fv6+1s6rR0dFwd3dHfn4+ZDIZ+vTpo5V5iIjItHHLWw9E3krTSpgEAImZOWp26IfFixczTOoZLy8vPH78GCEhIRofW6lUYuXKlejRowfq1q2Ly5cvM0wSEZHWMFCKLCtPgaSMHK3OkZSeg+w8hVbnoKJr2rQpOnbsCF9fX42Om56eDicnJ8ydOxezZ8/GsWPHUK1aNY3OQURE9HfqPwRNarmXng1tnzkQACSmZ6NptXLv/FzSLS8vL3h5eeHevXuoVauW2u+1nzlzBiNGjEB2djYOHjyIAQMGaLF6IiKiPzFQiixfg22C3uZOYhJqla2D0qVL62Q+ej8jRozA9EWrMGHzUbwsX/eD32sXBAHr16/H7NmzYW9vj4CAANSsWVMn3wMREREv5Yjs+oPnGPhjtNbnefDLZBSk3YWVlRWqVKmCKlWqwNbWVvV///t/s7W1RYkSJbRelyn7+3vtgrIQErM337x+23vtz549w6effoqgoCDMmDEDy5cvR7FixXTxLRAREQFgoBRddp4CzRaFaX3b+yeHknienoZHjx7945/U1FQ8evQIaWlp+PdvhQoVKrw2eP773ytVqsQ2NEWkqffaz58/jxEjRuDp06f49ddf4ezsrMWqiYiIXo+BUg90Xx2Je1q8mFPLxhJRMx3e+jkKhQJPnjz5R8h8XfB89OgRnj59+o+vNTMzQ8WKFd+42vn3fypUqACJRKK179UQaOq99i5ln2LXonFo2bIlAgICVM9pEhER6RoDpR7QZh9KczMJRrWvhUVOTTU2Zl5eHlJTU98ZPB8+fIicnH8G5WLFir1zxfPVP8Z43lPT77W3zLuGwOVf8XgCERGJioFSD2j7pZyj07qhfuXXX+bQtqysrHcGz1f/FBQU/ONrLS0t3xk8bW1tYWtri5IlS4ry/RWF5t9rF1DCwhxHp3X/x5lKIiIiXWOg1BOjtsbg1J10ja5SmptJ0KmuDXaMa6+xMbVFEAQ8e/bsvYLn48ePoVT+M5SVL1/+vS4bVapUCRYW4jQ3MPVfYyIiMl4MlHpC86tXQAkLM6NcvSosLFSd93xT8Hz17xkZGf/4WolEgkqVKr0zeFapUgXW1tYaO+9pzKvQREREDJR6RNPn61YObQ43ezuNjWeI8vLykJaW9l6XjbKysv7xta/Oe74reL467/m28Glo52SJiIiKgoFSz2jqBvAsx0b40qG+BioyHa/Oe77Pmc/8/Px/fK2lpeVbg6f31eJIzdZeE/v3uclPRESkLQyUekjdHoVLnJqa/MqkNr067/k+wTMtLQ2CRQnUnBao1XZJEgDXFvUt0jONREREmsJAqaf+/ooKBCUgMXvj577tFRUSV2FhIU7/kYyRsutan+vg5C58r52IiETB5Qw9VdPaEt90KY/mc1wxbO56PEAFJKW/5p1nG0s4NKyMkR3seClDD5mbm8OqrG5Cnq7ehSciIvo3Bko9tmXLFpRFDrZNGoCSJUsiO0+BxPRs5CuUKG5hhto2VtziNADFLd68umyI8xAREf0b04ieysvLw6+//opPPvlE1bTbqoQFtzQNUG0bK0gArb7XLvlrHiIiIjFwSUNP7du3D+np6fjss8/ELoXUZFXCAnZaPtdqZ2PJ1WoiIhINA6We+vnnn9G9e3c0atRI7FJIAxwaVYa5lm55m5tJ4NCwslbGJiIieh9c0tBDcXFxOH78OGQymdilkIbUyEtEoZb2vAuVAkZ2YJsoIiISD1co9dCWLVtgbW2NoUOHil0Kqenu3btwdnbG+BGDUOr5PZhreJHS3EyCrvUr8oY/ERGJioFSz7zuMg4ZntzcXCxZsgQfffQRLl68iF27diFs6SewMNfs/8tZmEngPaS5RsckIiIqKgZKPRMUFIQnT57wMo4BO3jwIJo2bYrvvvsOU6dOxR9//IHhw4fDzsYKizX83vYSp6ZsZE9ERKLjSzl6pmfPnigsLERUVJTYpVAR3b17F1999RVCQkLQu3dv/Pjjj2jcuPF/Po/vtRMRkbHhCqUeiYuLQ2RkJFcnDUxubi6WLl2q2t4ODAxEeHj4a8MkAExyaIAVQ5ujhIUZzM2KdqjS3EyCEhZmWDm0OcMkERHpDa5Q6pHZs2fD19cXDx484PlJAxEaGoopU6bg3r17mDFjBr755huULl36vb727++1v3qP/U34XjsREekzBko9kZeXhxo1amDkyJFYt26d2OXQOyQmJuKrr75CcHDwW7e330d8aiZkMUmIjEvje+1ERGSQGCj1RGBgINzc3HDjxg00adJE7HLoDXJzc7F69Wp4e3vDxsYG69atw/DhwyHRUNNyvtdORESGiIFST/Tq1QsFBQU4ceKE2KXQG6izvU1ERGTMeClHD8THx+PYsWO8jKOnEhMT4eLigoEDB6J27dqIjY3FihUrGCaJiIj+wkCpB3x9fVGhQgUMGzZM7FLob17d3m7SpAnOnz+PwMBAHDlyhEcSiIiI/oWHs0SWn5+Pbdu2YfTo0ShVqpTY5dBfDh06hMmTJ+PevXuYPn06FixYwBVJIiKiN+AKpciCgoLw+PFjbnfriVfb2wMGDECtWrUQGxuLlStXMkwSERG9BS/liKx3797Iy8vDyZMnxS7FpOXm5sLHxwfLli2DjY0N1q5dC1dXV43d3iYiIjJm3PIWUUJCAiIiIvDbb7+JXYpJ4/Y2ERGRerjlLSJfX1+UL18ew4cPF7sUk5SYmIghQ4Zwe5uIiEhNDJQi4WUc8eTm5uK7775DkyZNcPbsWQQEBODo0aO8vU1ERPSBuOUtkuDgYKSlpfEyjo4dOnQIU6ZMQWJiIqZNm4YFCxagTBk+Z0hERKQOXsoRSZ8+ffDy5UtER0eLXYpJeBUgg4KC0LNnT2zYsIErkkRERBrCLW8R3L59G0ePHuXqpA682t7+6KOPcPbsWfj7+3N7m4iISMO45S2CV5dxXF1dxS7FqB0+fBiTJ0/m9jYREZGWcYVSx/Lz8/HLL79g1KhRvIyjJa9ub/fv3x81a9bElStXsGrVKoZJIiIiLWGg1LGQkBBextGSvLw8LFu27B/b2xEREfjoo4/ELo2IiMio8VKOjjk6OiI7Oxu///672KUYFW5vExERiYcrlDp0584dHDlyhKuTGnTv3j0MHTqU29tEREQiYqDUIV9fX5QrV46XcTTg1fZ2kyZNEBMTw+1tIiIiEfGWt44UFBSoLuNYWlqKXY5BO3z4MKZMmYK7d+/iq6++wrfffssVSSIiIhFxhVJHQkJCkJqayu1uNfx9e7tGjRq4cuUKVq9ezTBJREQkMl7K0ZG+ffsiMzMTp06dErsUg5OXl4c1a9bgu+++Q4UKFbBmzRq4ublBIpGIXRoRERGBW946cffuXYSHh2Pbtm1il2JwwsLCMHnyZG5vExER6TFueevAq8s4I0aMELsUg5GUlIRhw4ahX79+3N4mIiLScwyUWvbqMs7IkSN5Gec95OXlwdvbG40bN8bp06fh5+fH29tERER6jlveWrZ//348evQIEyZMELsUvff37e2pU6di4cKFXJEkIiIyALyUo2X9+vXD8+fPcfr0abFL0VtJSUmYNm0a9u7dix49emDDhg1o2rSp2GURERHRe+KWtxa9uozDVkGvl5eXh+XLl6u2t+VyOY4dO8YwSUREZGC45a1FW7duRZkyZXgZ5zVebW/fuXNHdXu7bNmyYpdFREREH4ArlFpSUFCArVu3YuTIkbCyshK7HL2RlJSE4cOHo1+/fqhevTquXLkCHx8fhkkiIiIDxkCpJQcOHMCjR4+43f2XV9vbTZo0walTp7i9TUREZER4KUdL+vfvj6dPn+LMmTNilyK68PBwTJo0idvbRERERoorlFqQmJiIsLAwk1+dfLW93bdvX1SrVg2XL1/m9jYREZERYqDUgq1bt6J06dJwc3MTuxRRvG57OzIyEs2aNRO7NCIiItIC3vLWMFO/jBMeHo7Jkyfj9u3bqubkXJEkIiIyblyh1LCDBw/i4cOHJvcyzt+3t6tWrYrLly9jzZo1DJNEREQmgJdyNGzAgAFIT09HTEyM2KXoRH5+PtauXYulS5eibNmyWLNmDTw8PCCRSMQujYiIiHSEW94adO/ePRw+fBhbtmwRuxSd4PY2ERERAdzy1ihfX1+TuIyTnJwMV1dXbm8TERERAAZKjVEoFNi6dSs8PT1RunRpscvRivz8fKxYsQKNGzdGdHQ0ZDIZb28TERERt7w1xdgv4xw5cgSTJ09GQkICt7eJiIjoH7hCqSGbN2+Gvb09WrVqJXYpGvVqe9vR0RG2trbc3iYiIqL/YKDUgKSkJBw6dMioXsZ53fb28ePHub1NRERE/8Etbw3w9fWFlZUV3N3dxS5FI/6+vT1lyhQsWrSIK5JERET0RlyhVJMxXcZ53fb22rVrGSaJiIjorRgo1RQaGooHDx4Y9GWc/Px8rFy5UrW9vXPnTm5vExER0XvjSzlqGjRoEFJTU3Hu3DmxS/kgR48exaRJk7i9TURERB+MK5RqMOTLOPfv38eIESPQp08fVK5cGZcuXeL2NhEREX0QBko1bN26FZaWlgZ1Gefv29snT57Ezp07ERUVhebNm4tdGhERERko3vL+QK8u40ilUpQpU0bsct7L37e3J0+ejEWLFqFcuXJil0VEREQGjiuUH+jQoUNISUkxiMs4r9veXrduHcMkERERaQQv5XygwYMH4+HDhzh//rzYpbxRfn4+1q9fjyVLlqB06dLw8fGBp6cnJBKJ2KURERGREeGW9wdITk5GaGgoNm3aJHYpb3T06FFMnjwZ8fHx3N4mIiIireKW9wfYunUrSpUqBQ8PD7FL+Y/79+/Dzc0Nffr0QaVKlbi9TURERFrHQFlE+noZJz8/H6tWrULjxo0RFRWFHTt28PY2ERER6QS3vIvo8OHDuH//vl5dxomIiMCkSZO4vU1ERESi4AplEW3evBlt2rRB27ZtxS5Ftb3du3dvVKxYERcvXuT2NhEREekcA2URJCcn4+DBg6K/jPPv7e3ffvsNJ06cQIsWLUSti4iIiEwTt7yL4JdffhH9Ms6r7e24uDhMnjwZixcv5ookERERiYorlO+psLAQvr6+8PDwEOW9639vb1+6dAnr169nmCQiIiLRMVC+J7Eu4+Tn52P16tXc3iYiIiK9xZdy3pOzszOSk5Nx4cIFnb00w+1tIiIiMgRcoXwP9+/fx4EDB/DZZ5/pJEympKTA3d2d29tERERkEBgo38Mvv/yCkiVLQiqVanWeV9vbjRo1wvHjx7m9TURERAaBt7zfQVeXcY4dO4ZJkybh1q1b3N4mIiIig8IVyncICwtDcnKy1i7jvNre7tWrF6ytrXHx4kVubxMREZFB4aWcd3BxccG9e/dw8eJFjZ6fzM/Px/fff4/FixfDysoKq1evxqhRo3R24YeIiIhIU7hC+RYpKSlauYxz7NgxtGrVCnPnzsW4ceNw69YtjB49mmGSiIiIDBID5Vv88ssvKFGihMYu46SkpMDDw+Mf29vff/89ypcvr5HxiYiIiMTAQPkGry7juLu7q32esaCgAD4+PmjcuDGOHTuG7du34+TJk2jZsqWGqiUiIiISDwPlG4SHhyMpKUntyziRkZFo1aoV5syZg7Fjx3J7m4iIiIwOA+Ub/Pzzz2jZsiXs7e0/6OtfbW/37NkTFSpU4PY2ERERGS2T70OZnadAYno28hVKFLcwQ20bKzx7kooDBw7ghx9+KPJKYkFBger2tqWlJbZv387b20RERGTUTDJQxqdmQhaThMhbaUjKyMHf+yZJAJSW5MG6zwR06DukSONGRkZi0qRJuHnzJr788kssWbKEK5JERERk9EyqD2VyRg7m77uKkwlPYG4mQaHyLd+6oAQkZuhavyK8hzRHTWvLN35qSkoKZs6cCX9/f3Tu3BkbNmxAq1atNP8NEBEREekhkwmU/ueSsDDkOhRK4e1B8l/MzSSwMJNgsVNTuNvb/eNjBQUF+OGHH7Bo0SJYWlpi1apVGDVqFMzMeDSViIiITIdJBMoNkfHwCY9Te5yZjg0xyaEBAG5vExEREb1i9Gco/c8laSRMAoBPeByKKXIRtW05/Pz80KlTJ1y4cIHb20RERGTSjHqFMjkjB73XRSFPodTQiAIERQFy93yNVQvncHubiIiICEYeKEdtjcGpO+lFOjP5LhJBifZ1KsB/QheNjUlERERkyIx2eS0+NRMnE55oNEwCgCAxw5nE50hIy9TouERERESGymgDpSwmCeZm2mkmbm4mwc4zSVoZm4iIiMjQGG2gjLyVpvHVyVcKlQIi49K0MjYRERGRoTHKQJmVp0BSRo5W50hKz0F2nkKrcxAREREZAqMMlPfSs6Htm0YCgMT0bC3PQkRERKT/jDJQ5musTZB+zENERESkz4wyUBa30M23pat5iIiIiPSZUSai2jZW0M797v8n+WseIiIiIlNnlIHSqoQF7KwttTqHnY0lrEoY/cuVRERERO9klIESABwaVdZqH0qHhpW1MjYRERGRoTHaQOnZ3k6rfShHdrDTythEREREhsZoA2UD2zLoWr+ixlcpzc0k6Fq/IupXLqPRcYmIiIgMldEGSgDwHtIcFhoOlBZmEngPaa7RMYmIiIgMmVEHyprWlljs1FSjYy5xaoqaWr7wQ0RERGRIjDpQAoC7vR1mOjbUyFizHBvBzZ5nJ4mIiIj+TiIIgrZfKdQL/ueSsDDkOhRKoUiXdczNJLAwk2CJU1OGSSIiIqLXMJlACQDJGTmYv+8qTiY8gbmZ5K3B8tXHu9avCO8hzbnNTURERPQGJhUoX4lPzYQsJgmRcWlISs/B3/8DSPBn03KHhpUxsoMdb3MTERERvYNJBsq/y85TIDE9G/kKJYpbmKG2jRVfwCEiIiIqApMPlERERESkHqO/5U1ERERE2sVASURERERqYaAkIiIiIrUwUBIRERGRWhgoiYiIiEgtDJREREREpBYGSiIiIiJSCwMlEREREamFgZKIiIiI1MJASURERERqYaAkIiIiIrUwUBIRERGRWhgoiYiIiEgtDJREREREpBYGSiIiIiJSCwMlEREREamFgZKIiIiI1MJASURERERqYaAkIiIiIrUwUBIRERGRWhgoiYiIiEgtDJREREREpBYGSiIiIiJSCwMlEREREamFgZKIiIiI1MJASURERERqYaAkIiIiIrUwUBIRERGRWhgoiYiIiEgtDJREREREpBYGSiIiIiJSCwMlEREREamFgZKIiIiI1MJASURERERqYaAkIiIiIrUwUBIRERGRWhgoiYiIiEgt/webQ9+luzvHzwAAAABJRU5ErkJggg==", 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" ] @@ -130,12 +130,12 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -157,7 +157,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 6, "metadata": {}, "outputs": [], "source": [ @@ -183,7 +183,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, "outputs": [], "source": [ @@ -220,7 +220,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -264,7 +264,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -272,17 +272,17 @@ "output_type": "stream", "text": [ "Estimating Square\n", - "Time to generate high level QSP circuit: 0.08612800016999245 seconds\n", - " Time to decompose high level list:\n", " molecular_hamiltonians = []\n", @@ -454,42 +312,9 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "{'num_qubits': 13, 'gate_count': 13, 'circuit_depth': 1, 't_count': 0, 't_depth': 0, 'max_t_depth_wire': 0, 'clifford_count': 13}\n", - "5: ────X───\n", - "\n", - "6: ────X───\n", - "\n", - "7: ────X───\n", - "\n", - "8: ────X───\n", - "\n", - "9: ────X───\n", - "\n", - "10: ───X───\n", - "\n", - "11: ───X───\n", - "\n", - "12: ───X───\n", - "\n", - "13: ───X───\n", - "\n", - "14: ───X───\n", - "\n", - "15: ───X───\n", - "\n", - "16: ───X───\n", - "\n", - "17: ───X───\n" - ] - } - ], + "outputs": [], "source": [ "def prepare_initial_state(mi: molecular_info) -> cirq.Circuit:\n", " circuit = cirq.Circuit()\n", @@ -529,7 +354,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [], "source": [ @@ -543,142 +368,9 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Time to generate a circuit for estimating the GSE for Co2O9H12 0: 0.27175200008787215\n", - " Time to decompose high level Circuit: + t0 = time.perf_counter() + gse_circuit = PhaseEstimation( + precision_order=precision_order, + init_state=init_state, + include_classical_bits=include_classical_bits, + kwargs=gsee_args + ) + t1 = time.perf_counter() + elapsed = t1-t0 + print(f'Time to generate circuit for GSEE: {elapsed} seconds') + + gse_circuit.generate_circuit() + pe_circuit = gse_circuit.pe_circuit + + t0 = time.perf_counter() + logical_re = circuit_estimate( + circuit=pe_circuit, + outdir=outdir, + numsteps=numsteps, + bits_precision=bits_precision, + write_circuits=write_circuits + ) + outfile = f'{outdir}{circuit_name}_re.json' + if metadata: + re_metadata = asdict(metadata) + logical_re = re_metadata | logical_re + re_as_json(logical_re, outfile) + return pe_circuit \ No newline at end of file From 897cd436d24c5f25a59445274d6d03778e862981 Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Fri, 17 May 2024 23:26:40 -0600 Subject: [PATCH 24/30] removing utility estimates and defaulting utility estimates to None --- scripts/HTSC-one-band-RE.py | 5 ----- scripts/HTSC-two-band-RE.py | 3 --- scripts/RuCl-RE.py | 5 ----- src/qca/utils/chemistry_utils.py | 8 +++++--- src/qca/utils/utils.py | 10 +++++----- 5 files changed, 10 insertions(+), 21 deletions(-) diff --git a/scripts/HTSC-one-band-RE.py b/scripts/HTSC-one-band-RE.py index 6a6c565..b396454 100644 --- a/scripts/HTSC-one-band-RE.py +++ b/scripts/HTSC-one-band-RE.py @@ -50,9 +50,6 @@ def main(args): init_state = [0] * lattice_size * lattice_size * 2 #TODO: use Fock state from Hartree-Fock as initial state print('starting') - total_value = 300000 - repetitions = 40 * 10 - value_per_circuit = total_value/repetitions metadata = EstimateMetaData( id=time.time_ns(), name=name, @@ -60,8 +57,6 @@ def main(args): size=f'{lattice_size}x{lattice_size}', task='Ground State Energy Estimation', implementations=f'GSEE, evolution_time={t}, bits_precision={bits_precision}, trotter_order={trotter_order}', - value_per_circuit=value_per_circuit, - repetitions_per_application=repetitions ) t0 = time.perf_counter() diff --git a/scripts/HTSC-two-band-RE.py b/scripts/HTSC-two-band-RE.py index 0d36531..4fea866 100644 --- a/scripts/HTSC-two-band-RE.py +++ b/scripts/HTSC-two-band-RE.py @@ -54,7 +54,6 @@ def main(args): print('starting') - value_per_circuit = value/repetitions metadata = EstimateMetaData( id=time.time_ns(), @@ -63,8 +62,6 @@ def main(args): size=f'{lattice_size}x{lattice_size}', task='Ground State Energy Estimation', implementations=f'GSEE, evolution_time={t}, bits_precision={bits_precision}, trotter_order={trotter_order}', - value_per_circuit=value_per_circuit, - repetitions_per_application=repetitions ) t0 = time.perf_counter() diff --git a/scripts/RuCl-RE.py b/scripts/RuCl-RE.py index abe72dc..f8c125d 100644 --- a/scripts/RuCl-RE.py +++ b/scripts/RuCl-RE.py @@ -182,9 +182,6 @@ def generate_rucl_re( outdir:str) -> None: if not os.path.exists(outdir): os.makedirs(outdir) - repetitions = 140 * 15 - total_value = 2500000 - value_per_circuit = total_value/repetitions for rucl_idx in range(len(df_rucl)): H_rucl = generate_rucl_hamiltonian( lattice_size, @@ -203,8 +200,6 @@ def generate_rucl_re( size=f'lattice_size: {lattice_size}', task='Time-Dependent Dynamics', implementations='trotterization, JT=1000, gate_synth_accuracy=1e-10, numsteps=1500000, energy_precision=1e-3', - value_per_circuit=value_per_circuit, - repetitions_per_application=repetitions ) estimate_trotter( openfermion_hamiltonian=openfermion_hamiltonian_rucl, diff --git a/src/qca/utils/chemistry_utils.py b/src/qca/utils/chemistry_utils.py index 7c5951d..bcab604 100644 --- a/src/qca/utils/chemistry_utils.py +++ b/src/qca/utils/chemistry_utils.py @@ -189,7 +189,9 @@ def gsee_molecular_hamiltonian( gse_args: dict, trotter_steps: int, bits_precision: int, - molecular_hamiltonians: list[molecular_info] + molecular_hamiltonians: list[molecular_info], + value_per_circuit:float=None, + repetitions_per_application:int=None ) -> int: uid = int(random.random() % len(molecular_hamiltonians))*1000 for idx, molecular_hamiltonian_info in enumerate(molecular_hamiltonians): @@ -207,8 +209,8 @@ def gsee_molecular_hamiltonian( size=f'{molecular_hamiltonian.n_qubits}', task='Ground State Energy Estimation', implementations=f'trotterization subprocess, basis={basis}, active_space_reduction={active_space_frac}, bits_precision={bits_precision}', - value_per_circuit=6000, - repetitions_per_application=100 + value_per_circuit=value_per_circuit, + repetitions_per_application=repetitions_per_application ) uid += 1 diff --git a/src/qca/utils/utils.py b/src/qca/utils/utils.py index 0c059df..5501df9 100644 --- a/src/qca/utils/utils.py +++ b/src/qca/utils/utils.py @@ -23,8 +23,8 @@ class EstimateMetaData: size: str task: str implementations: str - value_per_circuit: float - repetitions_per_application: int + value_per_circuit: float=None + repetitions_per_application: int=None def count_gates(cpt_circuit: cirq.AbstractCircuit) -> int: count = 0 @@ -247,6 +247,6 @@ def circuit_estimate( def re_as_json(main_estimate:dict, outdir:str) -> None: with open(outdir, 'w') as f: - json.dump(main_estimate, f, - indent=4, - separators=(',', ': ')) + json.dump(main_estimate, f, + indent=4, + separators=(',', ': ')) From 47b13ef54d0e00c8d41b5d0b580d08dc962926b2 Mon Sep 17 00:00:00 2001 From: Jonhas Colina Date: Fri, 17 May 2024 23:27:18 -0600 Subject: [PATCH 25/30] Reran RuCl notebook with removed utility estimates --- notebooks/RuClExample.ipynb | 69 ++++++++++++++++++++----------------- 1 file changed, 37 insertions(+), 32 deletions(-) diff --git a/notebooks/RuClExample.ipynb b/notebooks/RuClExample.ipynb index b0ef246..383d9fb 100644 --- a/notebooks/RuClExample.ipynb +++ b/notebooks/RuClExample.ipynb @@ -45,7 +45,16 @@ "metadata": { "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jonhas/anaconda3/envs/other_qca/lib/python3.11/site-packages/attr/_make.py:918: RuntimeWarning: Running interpreter doesn't sufficiently support code object introspection. Some features like bare super() or accessing __class__ will not work with slotted classes.\n", + " set_closure_cell(cell, cls)\n" + ] + } + ], "source": [ "import os\n", "import time\n", @@ -231,7 +240,7 @@ "outputs": [ { "data": { - "image/png": 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k+0d0tMb305xgb2mCsrIyTJgwAbdu3UJ0dLRSraYv83IxT2BgIIqKitCnTx/w+XydKOZ5tbjG3NxcnuzXNB5SEW7dugUXFxf07t0bp0+fRrNmzQCobqe0tDQMHz4cpqamiI6OhpWVlUp6vlzMExYWhoqKCri7u7NiHgajCcASSgajkSEWi3H27FkEBATg5MmTKCsrg4uLC/h8PqZPn67yEoUynjx5And3d6SkpODSpUvo3LlzlWP+ffQEgmtpiPwnF2n5pZVKQTgA2lmZwK1za/AHt0PH1pWThZKSEowaNQoZGRmIiYlR23KHQqEQ4eHhCAgIwB9//IGKigqMGjUKPB4PXl5eMDU1VYucuigpKUFISAgCAgIQEREBAwMDTJkyBTweDxMnToSRkZFa5Pz7778YPnw42rVrhwsXLlR7f6rY6d69exgxYgQcHR1x/vx5tSV9hYWFCAoKgkAgQHR0NJo1a4apU6eCz+dj3LhxMDCouhQng8HQYYjBYOg8UqmUYmNj6cMPPyQrKysCQE5OTrR+/XpKTU1Vu7yysjJyc3MjU1NTunHjRr3OeVoupqALV8nQtjMFXbhKT8vFdZ7z+PFj6tq1K7Vv357S09NVVbsKhYWFtGfPHnJ1dSUOh0PGxsY0a9YsCg0NJaFQqHZ5QqGQQkNDadasWWRsbEwcDofc3Nxoz549VFhYqHZ56enp1K5dO+rWrRs9fvy4XucoY6cbN26QqakpjRo1isrKylRVuwqpqam0fv166tmzJwEgKysrWrRoEcXGxpJUKlW7PAaDoX5YQslg6DDJycm0cuVKcnR0JABkZ2dHS5cupVu3bmlMplgsJg8PD2rWrBnFxMQodG5cXBwBoLi4uHqfk56eTu3bt1coKVKGtLQ02rBhAzk7OxMAsrS0pA8++IAuXbqkUtIikUgoJiaGPvjgA7K0tCQA5OzsTBs3btRIkiwjNzdX6WRcGTtdvHiRjI2NydPTk8TiupNQZbl16xYtXbqU7OzsCAA5OjrSypUrKTk5WWMyGQyG6rCEksHQMbKysmjLli3Ut29fAkBmZma0YMECioyMJIlEolHZEomE3n77bdLX16ewsDCFz1cmUSEi+ueff6h169bUv39/Ki4uVliuoiQkJNCyZcvI3t6eAJCDgwP5+vpSUlJSva+RmJhIvr6+5ODgQADI3t6eli1bRgkJCRrU/DnFxcXUr18/atOmDf37778Kn6+sncLCwkhfX5/eeecdrTyLkZGRNH/+fDIzMyMA1K9fP9qyZQtlZWVpVDaDwVAcllAyGDpAcXEx7d+/n8aMGUNcLpcMDQ1p2rRpFBwcrJEuxuqQSqW0ePFi4nA4dOTIEaWuoWyiQkQUHx9PZmZm5OrqSqWlpUrJVxSJREJRUVG0cOFCMjc3JwDUp08f2rx5M2VmZlY5PjMzk/z8/KhPnz4EgMzNzWnhwoUUFRWl8QRLRmlpKbm4uJC5uTnFx8crdQ1V7HT48GHicDj0v//9T2vd0WVlZRQUFETTpk0jQ0ND4nK5NGbMGNq/fz+VlJRoRQcGg1E7LKFkMBoIoVBIJ0+eJG9vbzI2NiYA5OLiQrt376aCggKt61NcXEwdO3akXbt2KX0NVRIVIqJLly5Rs2bNaMqUKSQSiZTWQxnKy8spJCSEvLy8yNDQkDgcDrm7u9P27dtp+/bt5O7uThwOhwwNDWn69OkUEhJC5eXlWtVRJBLR5MmTycTEhGJjY5W+jqp22rlzJwEgf39/pXVQloKCAvrtt9/IxcWFAFCzZs3I29ubTp06pfVnhsFgvIAllAyGFtF2cY0iiEQievbsmUrXUDVRISI6d+4czZs3jxITExusIOPRo0f08ccfU6tWrQjP1zGk1q1b08cff0yPHj1qEJ2kUinduXOH5s2bR+fOnVPpWuqwU2BgIAmFQq21zFYHK+ZhMHQHNm0Qg6EF1L1yja5y48YN9OvXD3Fxcejbt6/S1yEiSCQS6Ovrq1G72qlp5ZrJkycDAP74448GX5mnoqICenp6KstUl52kUmmtc2j6+/tj0qRJaN26tdIy6gtbmYfBaFhYQslgaAhNrVyjLBKJBHp6ehqVoa5ERZtUt3KNLBHp2bNnpWPVuTJPXcmYJtGWnTw9PWFjY4OdO3dqTMaryFbmkU1yr+rKPA1pJwajUdGg7aMMho6j6FyFulBc8yr79++X/7uiokKjstTRlaoMitqppuKa6OjoenXhKlrMUx2//PILzZ49u0G60DVtJ6lUSgUFBdSxY0fas2ePRmTUh7KyMgoODlapmKch7cRgNCZYQslgvIJYLKY9e/bQiBEjaPLkybR27dpaXyZSqZTOnDmjM8U1L/PWW28Rh8OhuXPnypMuTSaV2kwoFbWTRCIhf39/tRfX1FTMc+3atVrH8eXm5pKJiQldvnyZiBRPilVBG3ZKTU2lVq1aUXR0NBFRg49prKmYJzMzU2ftxGA0Jlg7PoPx/0RHRyMuLg7jx4/Hzz//jDFjxmDMmDHw8/PDV199hby8vGrPIyKcOnUKSUlJ+Prrr5GamoqoqCgsWLBAbcsgKsOvv/6KmzdvYvHixUhKSoKPjw9KSkqgp6cHiUTSYHqpirJ24nK52L59O6RSKXbv3o1Hjx4hKCgI06ZNU2kZRCMjI0ybNg3BwcF49OgRdu/eDYlEAiMjI1AtI4qMjY3Rq1cvXL58GQBgaGiIjIwMuLi44JdffoFQKFRap4ZEKpUCAGJjY2Fra4uRI0cCADgcTq2/h6axsLDAwoULERUVhdTUVKxZswYpKSmwsrKqdUxqU7UTg6FutDfincHQIYio0ktEIBBg8eLF+Pjjj9GjRw8sWrQIXbp0AfD8RbRt2zYkJCRg1KhR1V5v48aNMDEx0Yru9aWwsBBjxozB0qVL8eeff2LHjh2YM2cO9u3bhzZt2jSKsWHqtJNEIsGFCxfUthZ1dZibm2P+/PmYP39+rcdJJBK0bNkSPXr0wKVLl/DFF1/A398f69evR6tWreDs7IzLly8jODgY1tbWmDNnjvw+dRkikj9TSUlJICKkpKQgLi4OxcXFuH79Opo1a4atW7c2qJ7t2rXDsmXLsGzZslqT3KZqJwZDE+j224TB0ACPHz+WJymylrojR45g7ty5+Pjjj/H111+jS5cu8n0dO3bE/fv38eabb1Z7PS6Xq1PJpL+/P/766y+sWLECH3zwAWxsbDBnzhwsXrwYT548wZw5c/Dw4UP5iz8nJ6eBNa4eddtJT09Po8mkIsiKo6ZMmYKcnByMHDkS3333HXg8Hi5cuIBhw4YhJiYGQqEQcXFxGDhwIHx8fPDo0aMG1rxmXk7+r127hvDwcNy5cwfe3t747LPP8NNPP6G8vBxPnjxBcXFxA2v7gtpaJ5uinRgMjdFgne0MRgOwadMmsrGxoTVr1tCTJ0+IiCgvL48GDhxI27Ztq3SsbFzVnj17qH///lRYWKhtdRVCKpVScXExWVhY0I4dO+TbXy4yCQ4OptGjR9PQoUMpMTGRgoKCqHXr1vUuJKkLdY3Na+p2InpeMHLs2DHicDjUq1evaguCnj59SkRE9+7do969e9OPP/5Y6RrKou4xlC/r8+eff5KHhwf179+fAgMD6datWySVSuXjVAsKCmjZsmX022+/qUW2ptAFOzEYjQnW5c14rVi0aBEcHR2xYsUKRERE4MSJEygqKkJiYiKmTZsG4EVLi6zlYvfu3fDw8IC5uXmVLlhdgohgamqKMWPGICUlRb6Ny+XK9fby8oKxsTF27dqFCRMmIDs7G2vWrEHbtm0bVvlXaKp2kk3dVFJSgk8++QT37t0DAIwZMwYjR46Ujz+U6d+8eXMAQOfOndGlSxdERUVh3rx5OtPSKkP2W4eGhmLv3r3Izs7Gtm3bMHDgQPkxBgYGAJ5PpyUUCvHDDz8gPz8fy5cvbxCda6Op2onB0CSsy5vxWmFiYoLp06fj7NmzkEgkGDNmDBYvXowJEybIXwovJyKhoaFISUnBggULquzTNWS6vfnmmzhx4gSePn0q3/ZyQcTEiRMxbNgwpKenY/369VixYkWD6VwTTdVOenp6uHv3LkaOHIm///4b27Ztw7vvvouHDx9CLBbLhyHI9JclLmlpadDX1wcR6WySkpWVhU2bNiErKwu///47Bg4cWGl8IpfLhVQqRffu3bFgwQI4Ojpiw4YNiI+Pbzila6Ap24nB0BQsoWS8dkilUrRv3x7h4eHw8fHB6dOnUVFRAVNT00rVzyKRCJs2bZKPQwSAoqIiPH78uKFUr5aHDx8iOTkZz549AwC4u7vDxMQEIpFIfoxUKgWHw4FEIsGdO3ewYcMGfPrpp/j8888bSu06aWp2kkqlWL58OSZOnAg7OztERESgX79+8PHxwZ9//ony8vIq53C5XCQkJGD+/Pn477//8P7778uvpWu0bdsWq1atwrFjx9C9e3f5M/cyXC4XDx48wK+//gqhUIgvvvgCvXv3bhiFa6Cp24nB0BQsoWS8dsi6gM3MzPDJJ59gzZo1yMjIQFlZGfT09OStKtevX0dFRQWmTJmCEydOYMSIEbCzs0NgYGAD38ELMjMzMWHCBPTp0wcjR47E8OHDsWfPHsTHx2P79u1ITU1Fdna2vEVFT08PRUVFWLhwIbZs2dLA2tdOU7KTDCsrK/j6+iIoKAht2rQBANja2qJNmzaIjo6WH0dEuH//Pt577z24ubmhdevW+O233zBhwgQA0Nnq/HHjxqFDhw6VWvFeJikpCevWrUN8fDxmzpyJlStXAtC9xKup24nB0AhaHrPJYGgV2WD52ggODqbu3bvT0aNHiej5xN9SqZR8fHyIw+GQsbExWVtb0+eff04pKSmaVllhbt++Tbdu3aLjx4/Tp59+Sl999RVxOBzicDj05ptvkrm5Obm5uZGnpyd9+OGHGp1sXdlij6KiojoLGBq7napDVtzRs2dP+vbbb4mIKCIigt555x2yt7enKVOmyCcGrwllCj+0NQF9UVGR/N9///03zZkzh4YOHUq7du2Sb6/PykQNjap2kkqlGl+lisFoaFhRDqPJIRKJcPbsWQgEAoSGhuKff/6Bvb19lePo/wfU9+7dG127dsWpU6cwa9Ys6OnpQSQSoWXLlli2bBm8vb11rlvuZXr06AEOhwNnZ2d4enoCAFJTU9GjRw94eHjgwYMH+O+//3D58mXo6+s36GTrL1NSUoKQkBAEBAQgOTkZ6enp1Y59bCp2qg5ZC9aCBQtw+vRpbNy4EcuXL4erqytOnTqFXr16yY+tbt5QsViM06dP4+effwafz4eXlxdMTU21eg/VQURISEgAn89HaGgocnNz4efnh0ePHmHRokXg8XgAGs862araSSqVYu3atfjnn3/A5/Mxbtw4eZESg9FkaOCElsFQC1KplC5dukQffvghWVlZEQBycnKiDRs2VGolqelcX19fatWqVaNer/fllp4vvviC+vbtq/X1w+tq+RIKhRQaGkozZ84kY2Nj4nA45ObmRnv27CGRSFTrtZuKnWrjxo0bNHbsWNLT06PBgwfT5s2b6fHjx7Wec/78eXJ1dZW30s6aNYtCQ0NrXSJQWy2UkydPJktLSxo9ejSNGjWKQkJC5PsaQ8tkTShjp+3bt1PPnj0JAFlZWdGHH35IsbGxbGohRpOBJZSMRk1SUhKtWLGCHB0dCQDZ2dnR0qVL6datW/U6XxbMb9y4QZGRkZW2NUZkup8+fZo6depEpaWlRKTZ9btfprpERSKRUExMDH3wwQdkaWlJAMjZ2Zk2btxI6enp9bpuU7NTXZSUlNCGDRuoS5cuxOFwaN26dXWek5aWRhs2bCBnZ2cCQJaWlvTBBx9QTExMleRNm2uue3l5EYfDoYMHD8q3NeZk8mWUsdOtW7do6dKlZGdnRwDI0dGRVq5cScnJyVrQmMHQHByiBlxclcFQguzsbBw+fBgCgQA3btyAmZkZZs6cCR6Ph5EjRzaKLjRNU1RUhG7dumH//v0YN26c1uTeuHED/fr1Q1xcHIyNjSEQCCAQCJCamgp7e3vweDzweDz07NlTazo1dlJSUvDs2TP06NGj3l3Et2/fhkAgwKFDh5Ceng4HBwf4+PiAx+Ohe/fulezUt29fjd+Di4sLSkpKcPbsWbRq1Upnp3VSBUXtJJVKcfHiRQgEAgQGBqK4uBh9+/YFn8/H7NmzYWtrqyXNGQw10dAZLYNRH4qLi2n//v00evRo4nK5ZGhoSF5eXhQcHKz1bl1dRyqVklAopPbt29PPP/+sVdlnzpwhANSlSxcCQObm5rRw4cJqVxfRNLKiHV2hIQozJBIJRUVF0cKFC8nc3JwAUJ8+fejTTz/VWgulDCcnJ7p582aNer7OlJWVUXBwME2bNo0MDQ2Jy+XSmDFjaP/+/VRcXNzQ6jEY9YIllAydRSgU0smTJ8nb25uMjY0JALm4uNDu3bs1WqncmCgoKKjxZbx582atVDsXFxfTvn37yN3dnTgcDgEgd3d3On78uHy5vYbgwYMHNG/evEpdrQ3FgQMHaN68efTgwYMG06G8vJxCQkJo+vTppK+vTwBowIAB5O/vr5WkRZbcv5rkV1RUUFJSklaTW12moKCAdu/eTS4uLgSAjI2Nydvbm06ePFnruFgGo6FhCSVDp6ituCYtLa2h1dMpEhISqFWrVnTu3LlqW+I02TpXU3HNqlWrtN7yVRNSqZQWLVpEXC6XAgMDG0yPwMBA4nK59NFHH+lMi2lUVBQBoH79+ilUzKMJKioqaPz48WRhYUG3b9/WqmxdJzU1ldavX8+KeRiNApZQMnQCVYtrXjfu379PNjY21Lt3byosLNSKzPoU12iz2KM+SCQS8vHxIQMDAzp79qzW5Z85c4YMDAyIx+PpVLfuy3ZSpJhHUxQWFlLv3r3J1taW/vvvP63IbGywYh6GrsMSSkaDkZWVRZs3b6a+ffsSADIzM6MFCxZQZGSkTr18dY3MzExydHSkzp07a2X6nMTERPL19aX27dsTALK3t6fly5dX25qkawklEZFIJKLJkyeTiYkJxcbGak1ubGwsmZiY0JQpU+qcEknb1GSnhIQEWrZsGdnb2xMAcnBwIF9fX0pMTNS4Tjk5OdSpUydydHSkzMxMjctrrEgkEoqMjKQFCxaQmZkZAaC+ffvSli1bKCsrq6HVY7zGsISSoVVYcY1q5OXlUffu3cne3p5SU1M1JiczM5P8/PyoT58+ChXX6GJCSURUWlpKLi4uZG5urpVW7/j4eDIzMyMXFxf51E26RF12qqmYx8/PT6PJXmpqKtnZ2VGPHj0oLy9PY3KaCqyYh6FLsISSoXFkxTWzZs1ixTUqUFJSQgMGDKBWrVrR3bt31X79oqKiSsU1RkZGNH36dIWKawoKCujIkSM6adfi4mLq168ftWnThv755x+Nyfnnn3+odevW1L9/f519qStip5eLeQwNDYnD4ZC7u7vGinmSk5PJ2tqaBg4cSCUlJWq/flOFFfMwGho2D2UT45mwAin5zyCqkMJQnwsHq+ZobqT9FTaJCJcvX4ZAIMDRo0dRUFAAJycn8Pl8zJkzp9qlEF8nFLVTeXk5Jk6ciLi4OERFRaFPnz5q0UMkEuHMmTMICAjAqVOnIBQK4erqCh6Ph+nTp8Pc3Fyh6xGRfA4+XZxr8PHjxxg5ciTKyspw6dIl2NnZqfX6GRkZGDZsGExMTBATEwNra2u1Xl9dKGunoqIiBAcHQyAQICoqCkZGRpg6dSp4PB7Gjx8PQ0NDteh348YNuLm5oX///ggLC4OxsXGtx+tK3NMV0tLS5HP13r59G1ZWVpg1axb4fD6GDBnSYL7J7NS0YQllE+DfR08guJaGyHu5SCsoxcsG5QBoZ2kCty6twRvUDp3atNSoLsnJyfIJlR8+fAg7Ozv5hMrOzs4ala3rKGuniooKzJgxA2fPnsWff/6JESNGqKSHVCqVJ/vHjh1DQUEBnJ2d5cm+upMsXSM9PR0TJ07E5MmTsWrVKpiYmKjlus+ePcO6desQHh6O8PDwJv87ZmRk4PDhwwgICEBCQgIsLS0xa9Ys8Hg8DB06VOUFBi5evIhx48Zh/PjxCAwMhL5+5cRDl+KeLpOQkCCPyRkZGXB0dJQvMNC1a1eNy2d2en1gCWUjJr2gFL7HbyPmfh70uBxIpDWbUrZ/REdrfD/NCfaW6nmJAmzlmrpQxU5vmBtj7ty5OHz4MEJDQzFx4kSl9UhKSmIr1/w/srBXUVEBfX19lVtsiEh+LQA62TqrSepamUdZwsPD4eHhAR8fH/j7+4PL5epM3GtsaHtlHman1w+WUDZSjvyVhjUnE1EhpVod9VX0uBzoczlYO7UHZg9op7T8kpISHD9+HAEBAYiIiIC+vj4mT54MHo+HiRMn1tlF9bqgqp26PkvAqR+/wuHDh+Ht7a2w/KysLHmyf/PmTZibm2PmzJng8/kYPnz4a5/sM9SLVCpFTEyMPGkpKipCnz59wOPxMGfOHLRt21bhax45cgQ+Pj745JNPMJj3Bb4+1XBxr6lQXl6O8PBwBAQEICwsDBUVFXB3dwePx8O0adNgamqq0vUb+v3EaBhYQtkI+TXyX/j9+Y/K11kytjM+dutU7+NFIhHOnj2LgIAAnDx5EuXl5XBxcQGfz8f06dNhYWGhsk5NCdXtRAA4cLEoxu9Lfep9VnFxMUJCQiAQCBAREQFDQ0NMnjwZfD4fEyZMgJGRkQo6MRj1QygUIjw8HAKBAKdOnYJYLMaoUaPA5/Ph5eWlUNKya9cuLP09AhYub6usl6Jxr6lTWFiI4OBgBAQEIDo6GsbGxvDw8ACPx8O4ceMUHhfbUO8nRsPDmid0iI0bN6Jr166QSqU1HnPkrzS1OCsA+P35D47+lVbj/p07d6Jdu3aIjIzEokWLYGtri6lTpyI5ORlr165FWloaoqKisGDBgtcqmdSenZ53m0YXmtVqpzNnzqBFixY4cOAAZs2aBRsbG8yfPx9SqRS7d+9GTk4OgoKC4OnpyZJJJfD390dubm5Dq9HoMDIywrRp0xAUFIRHjx5h9+7dkEqlmDdvHtq0aYNZs2Zh7ty56NKlS62+BABmfSeoJZkEao97Ml96/PixWmQ1BiwsLLBgwQJERUUhNTUVX3/9NZKSkjB16lS0bdsWixYtwqJFi+qMeYD23k+vo50aA6yFUkcoKSmBo6Mj/Pz88O6771bad/LkSbmTS4xM0dxpNMyGzQaHq6e0PJKIUXLtOJ4lRoD79DHMzMzQv39/7Nq1C3Z2dkhOTsbvv/8OPz8/SCQSVlzz/9Rkp6NHj+LUqVO4du0a7t+/j2btnNDa5weV5RFJ8fTmGTy7dQYozkJzExP06tULW7duhZOTEy5fvoyAgADs2bMHEokEvXr1kncvNvWiEG3h6ekJGxsb7Ny5s6FVaRLIinl+//13JCYmonnz5njrrbfA4/HQpUsX7N+/H6dOnUJycjLEYjE6dOyMnHajYNhFtWI0mS89iT+NioJMmLVsgT69n/tSr1695Mf17t0bo0aNwpYtW1S91UaNrJgnICAAWVlZsLa2xvvvvw8+n4+uXbvis88+Q3R0NFJSUlBeXo437NqhwKYfmg+YBq5hM6XlMjs1XlhCqSP8+OOPWLNmDR49elRp/OHp06cxadIkuLq6otR+EJKTElESF4YWvcfBatxHSskiSQVyA7+GMDMZLXuPR/cePTGjpwWio6PRtWtXXLhwQV5c0759ezx69AiZmZnQ01M+gW0q1GQnV1dXxMXFYcCAAYi9FgeudXu0UUNCmffHVjxLikJLp1Ho3qs/5vRtg8jISJiYmODy5cvy4ppu3bohJiYGjx49QsuWrFJSHRARioqKMHDgQCxfvhzz589vaJWaFD/++CNWrVqF999/H8eOHUN6ejpat26NvLw8uLq6YurUqdDX18e6X/3x6G4czIbNgfkIntLyZL7UvOcoNLPrBgdTPfQwKgCPx8OYMWPkx+3YsQNLlixBTk4O8yUAW7duxapVqzBz5kwcP35cXsxTWFiIUaNGoVevXjA2NobfoTP4N+YUDG07oQ1vPTgc5TpAmZ0aL6zLW0fw9/fH1KlTqxSzLFmyBM7Ozth2MBg5bYfDYvT7MB0yE09vnoE4P10pWSV/nUB52h20mfM9LNwXIttmCE5GXUNYWBh++uknODg4IDg4GDk5Odi3bx8ePXqE6OhoddxmrURFRYHD4dT4x83NDQCwePFi9OvXD0ZGRujdu7fG9XqZmux08OBBFBcXY9fhUJCJOdTxnfYsOQbP7lxAK49lsJzwP+S0HYZ9QeEIDQ3F6dOnMXbsWHkLwcGDByESiRAYGKiyXEXYvn07Ro8ejVmzZuHChQuV9uXl5aFDhw5a1UedcDgcPHnyBMXFxejU6flYrsb6/a2LdvL394enpyf8/PyQkpKCqKgouLm5oUWLFoiIiMDvv/+OrKdSGHl8DeP2zii+GgSpqFwpWS/7kvXE/6G581g8dnDHyo2/VEpSAGD69OkQCoVa8aXGEPP279+PadOmwd/fHzk5OQgODkb79u2RmZkJf39/nDp1CkXUDMLB82A+8i0IM5IgylKu21tX7cSoHyyh1AEePnyIhIQEjB49utL2pKQkJCUl4b333sPRuCzocZ+PqWvZZyIAwrO7sQrLIpLiyd8nYdJ5CIzadgFJJZAIS1Fg1RO7du2SBwwvLy8YGxujX79+sLS0RGhoqDputVaGDh2K7OzsKn927doFDoeDRYsWyY+dN2+eUlXPqlCTnQDA3t4eXC4XgmtpkI19VJWSv07A0LYzTLoMBZEUkvJnMOo5GsePH0dOTg5+++03+bRMrVu3hrOzs1bsJOPnn3/Gl19+ia5du8LIyAgTJ07EDz+8aJWVSCRITU3Vmj7qRDZWLDY2Fra2thg5ciSA50lmXePIdA1dtNOrvsTlcuHi4oIjR44gNzcXISEh6NChA36LTAZIimadhgASMSqKcpSS96ovSUXl0ONyEHC16hg9bfpSY4t5xsbG8PLyQkhICHJycrBr1y6IRCL8EBgDkkqgZ9YGACAVPlNKnq7aiVE/2BT1OsDly5cBAH379q20/ebNmwCA/v3748voXPn0C/otraDX0hriRw8UliXOS4PkaQEMWzsg//QveHrnAiCpQKFNB7z5zp5qi2v69u2L2FjFk1dFMTQ0hI2NTaVtycnJWLJkCXx9fTFz5kwAz1+QwPNVTxISEjSul4ya7PQykfdyAajeiiUVlkKU9Q9a9p2Iwujf8STuD5CoDHmWthC5/VhtcU2/fv1w4sQJlWXXl127dmH37t3w8Xlegf7hhx/C09MTZWVl+Oabb7Smh7ohIvl0SklJSSAipKSkIC4uDsXFxbh+/TpatGgBPz+/Bta0fuiinWrzJVkxz7Rp0zB8wwVkFJVD8qwQAMA1UXw6m5p8Sd+sDY6lvY+vp66tco62fKkxxzwLCwvMnTsXnp6eGL/5PNIf3kJRzEFwDJvB0LazwrJ02U6M+sESSh3g7t27AABHR8dK27OzswEAppatkFZQuZpNr4UFKp7mKyyroiALAFDyVyi4xi1gNe5jAEDxlWMYP348/vrrrypFNx06dMDBgwcVlqUqRUVF8PDwgKurK9atW6d1+a9Sk51kPBVWIK2gVC2yKgqzARCeJccAXC4sXN8F18gEJX+fxOzZs2Fqaorx48dXOqdDhw7Iy8tDbm4uWrdurRY9auPhw4cYOnSo/P9Dhw5FREQERo8eDbFYjE8//VTjOqgbIpJPSn7t2jWEh4fjzp078Pb2RnZ2NiwsLDBgwACkpaXh/v376NixYwNrXDe6aKe6fAl47k+ZReWQlD3B01t/wsiuB/RbWCosqzZfSg5YhxOzBsJzyqRK52jbl2Q0tpj3999/Y8iQIfL/61vaofX0VdBrpviYxsZkJ0b1sIRSB8jPz4e+vj5atGhRaXtZWRkAILdUUqXNi6NnCKlI8eRFKn4+BkkqKoXtuz9B37QVAMC4vTMe7X4Py5cvx7ffflvpHKFQiLKyMsTGxqJZM+Wr92R07NixzjnopFIpfHx8oK+vD4FAoNLKIykpKSgoKFD6fBl3796Fnp4e/vmn+vFBD4vEamibfI5U/Nz20rIS2Ly9GUZtuwAAmnUahOK9C7F8+fIqAfTJkycAni9Zp84xcZ07d67ybAKAtbW1fFUUGT179kRERARGjRqFrKysOq8tlUoRHx+vNl1rok+fPnU+Qy8nk+fOncO2bdvA5XJx7NgxdO7cGU5OThAKhTA2Nsa///6LDRs2wN7eHqtXr65T/r179/DsmXLdgPWld+/e1U5Urw47PX36tMbnXhnq8iXguT9JSYq8U36QCp/Ccsz7SsmqzZcyd8zHV76+aPdG5VVi1O1LlpaWlX7/avVUY8wrKSnB/fv3lT5fRl12EolEWL3xZ+y4mgthZjLKU+Ll7xhFqctO36z7tkpCKetRy8vLYwmlDsASSh1Glrw9Ky2rso8kInD0FZtwFoD8HKM3usuTSQDQN2sNCdcAp0+fxunTp6s9d/jw4QrLq44///yzygDrV/H19cWVK1dw/fp1lSv41qxZgwMHDqh0jZfp169ftdsNbTvD9h31TGHB0X/epa1v1kYeWAGAa9gMT0VS3Lp1q0Y9ZN1k6iImJqZa2w8fPhwhISFV1hbv3r07Lly4IC8oqI2Kiooa70NdGBsbo7CwEEZGRrW+pGX7QkNDsXfvXmRnZ2Pbtm0YOHCg/BgDAwMAz19kI0aMwOrVqyESiap8hMkgIjx58kQrayYLhcJqJ6FWh53i4+NVXkO+OmqzvaFtZxjadkL5gzhYTf4chm2US+xq86VmHQfi7u3zGvelt956q84YpM6Yd/369TpjrCLUZSfbd7bApPNgPEuMwuPgb2E790eF7VWXnW7HR1da3hR4UST3ui11qquwhFIHsLKyQkVFBZ48eVIpkMjWVi3Orzp5q+RpIYyUGKei18Lq+d/NzavsGzJ0GG7HXUNUVFSl7d9++y1Onz6ttnGUdXUTHjlyBH5+fggLC5NX16rC2rVr8b///U/l62zfvh179+7FxYsX0bx58yr7HxaJ8cW5PJXlAIDe/3ftcaux01QPD5w4chBRUVGVnpd9+/Zh27ZtOH/+vFonmu/cufrnbPny5YiLi6t2X48ePRAZGYng4OBar62vr1/jNdSFubl5vZcCzcrKwqZNm1BeXo4DBw6ge/fu8pZLIpJPnWVtbY23334bnTt3xtSpU+Hs7IxZs2ZVuR6Hw0HLli01fo8AKr1oX0Yddurdu7da76EuXwKADT/vwLHf98DcdS5a9ByltKzafEkWBzXtS5aWtXfVqzvmDRw4UC32qo+dXo57Jl2GAn9swbPkiwonlHXZqUIsxrNnz2BmZibfXlj4fGyttbW1QrIYmoEllDqArPXi4cOHlcYvyqaHyP4vERx0kHenVjzJh+RJHgx6j1NYlmGr9gBXH5InlcdfcgBAXA4bG5sqA7CfPHmCHj161FqMoi7i4+Mxf/58rF+/HuPGKX5/1eHg4FBnd1N9cHNzw969e2FmZlbt5O5dhBVYcu6synKA/y+8am4BydPKXfUcAM24UhgbG2PEiBGVujh37NgBa2truLu7q0WHuvjss8/w0Uc1z4Xapk0b7N+/v9YuYS6Xq5Xnqr60bdsWq1atQqdOneRdnbLWD9nfe/fuxdy5c6Gnp4fBgwdj6tSpiImJwaxZsyp1m8vgcDgNeo/qsFOLFi3Ueg91+dK2bdtw7Pc9MO3vAbPBM1SSVZMvAYDkSX6D+5ImYp6pqala7FWXnYAXcY8AUIUYICmkQsWHY9XHTq+23D58+BDW1tZo1apVlXMY2odNG6QDyAY1//3335W29+jRA127dsXv+/bC3vxFVe/Tm+EAOGjeRfEuaK6RCZq92R/CzORK81iaC3Nw7eqVartJbty4UWlQv6bIy8uDp6cnXF1dwefzkZOTU+mPbJmt+/fvIz4+Hjk5OSgrK0N8fDzi4+MhEok0ql9NdpLRzICLVibqcymTbiMgKXmMsoc35dvaGAoR9scpjBo1qsp4ubi4uEoD5DVNZGQkZs2ahTVr1lS7v7FOGzRu3LhK4+ZeHn8rFosRHh4u/53v3buHBw9ezLagi11vumin2nzp6NGjWLx4MWbOnAnHcXPVIq86X5KUFqP8v+sN6kuNNeYVFRVBLBYDAPIfZaElVwgAeHrr+Qe1kY1yxWq6aidG/WAtlDpAhw4d0LNnT5w/fx7z5s2rtG/Tpk2YOnUqHGglnr0xEMLcFDy5EYYWvcbCwNpeflxF0SNk7pyP5j3dYT35s1rlmbu8jfLUW3h0eAVa9psCIinSrgZDn8uFg4MDioqKYG5uDuC5wxYUFMDDw0Pt9/0qYWFhSE1NRWpqqry7/2Xat2+PlJQULFiwoNJE63369AHw/GtVHS2RNVGTnZKSkvDDDz/g1KlTEFp1gqS0GFKxEEWxRwAAxvY9Ydyup/z41PWTYWTfEza89bXKMxsyE6V3L+Hx8e9hOsATHMNmyLgWDAifwd3dHUKhUD59UG5uLhISEmptidIEstUqEhISEBAQUGO3WGPl2rVruHHjBt566y20aNECBgYG2LFjB4YNG4ZBgwahqKgIzZo10/mXmq7ZqSZfunTpEvh8PgwMDBASEgLjrnkwduwNWduHkV03GJi/mGZHWV/iGjXHk5vhkIqFsLW1RVJSErp37w5Au77UWGPeH3/8gcWLF8PExASZmZlo3nUYSEoo/ecKDG06oXnPyuNyVbHT0/jT4Egl+P777ysd21Axj1EzbOlFHWHr1q1YvXo1cnNzq1RSnzhxAr6r1iA5ORl6JmZo4eQOs2FzwNF78T0gepyC7L0fw3TwDFi4zq1TnjDnPoqi9kOYeRfgcNC9WzeYNTfG1atXoa+vj0mTJoHP5+Py5csIDAxESkqKTra+aBuZneLj43HixAkIBALcvHkTRkZGEAqF1Z7z8pJxUlEZ0rfMhEm3kWjlsbROeeKiHBRG7EV56i1AIkG79u1hpAf8888/MDc3x8yZM8Hj8ZCYmIgvv/xSq8uQcblc5OTkID8/Hx4eHjAyMkJoaKi8de/Ro0do27YtJBKJVvTRBOHh4VizZg1+++03+UscABYuXAgOh4OFCxdCKBSqrWBNE+iqnWS+lJOTg7///lu+brRsdovqsJr4KVo4P59kW1VfMnqjC0b264HrEadRVFSEPn36gMfjQSwWY926dWxJv/9HZqe0tDRERERAIBDgjz/+gFgsRrNmzSCRSMDhcCFt2RomXYbBdNB0cA1fjFlWh50Eu36C1zjXSsft3LkTX3zxBbOTDsFaKHWEefPm4dtvv8WhQ4eqrBns6ekJT09PvLX3Gi4/yJdPcP4ywvREcAyMYTqgfi2JRjYd0Wb2t9DjcjC0gxUOzh8E4Pncl0eOHEFAQACmT58ODoeDQYMGITo6Wr4qy+tKcXExDA0NUV5ejo4dO8LIyAiTJ0/G6tWrMWHCBHlrYe12ugOAA7MhVQs4qsPA3AatvVZUsVNSUhIEAgEEAgF2794NAwMD9OrVC6mpqejZs2cdV1Uv3bp1w19//YU5c+ZgwIABOHr0aLWrCTVGJk6ciEOHDmHu3Lk4c+aMvBVJLBbDysoKAwYMkB9b3fhJXULX7DRo0CBUVFTA3t4ehYWFcHBwwGeffQYejydvLQRq9idlfQlAJX8SCoUIDw+HQCCAr68vRCIR7O3t5SuG1TXFWVNGKpWiU6dOEIvFeOONN1BWVoZ+/fphw4YNmD17dqVWVU3ayWvcoCrH7dq1C++99x5LJnUI1kKpQ2zYsAH+/v5ISkqqNnFLLyjF6K3REFZUXfrt8fEfoG/ZFhYu7ygk00ifi/OfucDe0qTKvjVr1uDHH3+EhYUFUlNTYWdnBx8fH/B4vBoHaDc1RCIRTp8+DYFA8LxLWyiEo6MjSktLkZiYWG31Zm12KozYh4qn+Wg19UuF9KjJTlKpFFu3bsXy5cvRokULFBUVwdnZGTweDz4+PrCzs1PshhVA1vIlm/+NiPDVV19hy5Yt2LBhA3x8fBp9C6WMyZMno6ioCA4ODiAiHD58GEePHlX7FE2aQJfslJ6ejsOHD0MgECAhIQHNmjWDkZERTp48ieHDh1ebkNfkT8r6ElCzPwUFBYHP56N///64fPkyjIyMMGXKFPD5fIwfP77aaZmaIrKhEYcPH0ZGRgYsLCzA5XJx8eLFSsn+y2jTTmfOnMGMGTPw4MEDNv+kDsESykbGkb/SsDzkttqut8HLCd4D2tV6DBHhypUrCAgIwLFjx5Cfnw8nJyd50mJvb1/r+Y0NqVSKy5cvIyAgAIGBgSgoKECvXr3A4/EwZ86ceiVpDWEnkUiEM2fOQCAQ4OTJkxAKhXBxcQGfz8f06dPl42LVhZ6eHrKzs6sE9CNHjmDBggVwc3NDeHh4k0goAeDHH3/ErVu3kJGRgfnz52P27NkNrVK9aGg7FRUVITg4GAEBAYiOjoaRkRGmTp0KHo9X7yTtQOx9rP7jntp0qo8/ZWRk4PDhwwgICEBCQgIsLS0xa9Ys8Hg8DB06tMn11qSnp+PQoUMICAjAnTt3YGVlBW9vb/B4PAwZMqRere+/nr4Jv4t1T5RfX+pjJ4buwBLKRkZSUhLcF2+E0QDVW0a4d/7AlT1fo02bNvU+RyQS4ezZsxAIBAgNDYVQKMTIkSPB5/MxY8YMtSct2uTlbuTU1FTY29uDx+OBx+Mp3I18/PhxvOt3FOYj31JZr9bZV3Hpt1UKtY6UlJQgJCQEAQEBiIiIgKGhISZPngwej4eJEydWuxa4orza8vUy8fHx8PT0RHp6epNJKGWUlZWpZcUobdEQdpJ1IwcEBCAsLAwikQju7u7g8XgKdyOLRCJ4enrir1IrNB+iQhJPBHA4mGQnwbaPpip06u3btyEQCHDo0CH5qkOy3pqaWuwaA4WFhQgKCoJAIEB0dDSMjY3h4eEBPp+PsWPHKhRzcnJyMGLECEi6jIbUabLySv2/nd7pbYG13pqfXYShPlhC2Yh4+PAhhg8fDmtrayz+6Sg2XniICilVO1avJvS4HOhzOfhkaBt8P38yWrdujaioKKUSwZKSEhw/flyetLxczDNx4sR6TybdkGRlZcm74G7evCkvdOHz+Rg+fLhSrRDnz5/HpEmTMG3aNEz9bD3W/pGstJ28O3Kw4T0PeHl5ISAgQD6xtiJkZmbiyJEjVe6Rx+NVmX9PEaKjozFs2LAaJ9TOz89HWFgY3n77baWur6vo+ljJV9GWnaRSKWJiYiAQCBAYGCgvdOHz+Zg9ezbatm2r8DUlEgl4PB6OHz+OsLAw5Jl1xpqTiUr7U9vsS7h80A/h4eFKzTFZ0z3Kei+UuUdtU15ejrCwMAgEAoSFhaGiokKe7E+bNk2pMaOFhYVwdXVFXl4eLl26hGt5eirZiXMjEE9v/YlLly5ptIqdoV5YQtlIyM7OxogRI8DhcBATEwMbGxukF5TC9/htxNzPgx6XU6vjyvaP6GiN76c5wd7SBImJiRg5ciS6du2KP//8U6WpRF4u5rlx4wbMzMzkSYuuFfMUFxcjJCQEAoGgUusdn8+vVFyjDFevXsXo0aMxcuRInDhxAoaGhirbKSQkBDNnzsTChQuxY8cOlZKZ6lphfXx8wOfztV7M05CkpaXB1tZWvpSiuhCLxcjOzka7dq9PN52mWu+ICB988AH27NmDwMBAeHl5AYBK/tSmhT48PDwQExODCxcuYNCgqsUe9eXlYp5Tp05BLBZj1KhR4PP5OlfMI5VKcfHiRQQEBCAoKAjFxcXo168feDxeleIaRXn27BnGjBmDe/fu4eLFi+jRowcA1exkICqRz5xw6dIl2NjY1HguQ3dgCWUjoKCgAK6urigoKKj2i+3fR08guJaGyH9ykZZfipcNygHQzsoEbp1bgz+4HTq2rlwRd/36dbi7u2PYsGE4efKkWgadJycny5OWlJQUnSjmqa64xtXVFTweT23jC2/fvg0XFxf06NEDZ8+ehYlJ5YHkqtjJ398f8+bNw/Lly/HDDz+orKtsnKhAIMCxY8dQUFCgtWKehiYoKAje3t749NNP4efnp7bWRiLCF198gZ9++glHjx7FjBmqrfCiy7xaXCMbX8jn8zF06FC1/KbLly+XFyrOnTu3yn5l/am0tBRjx45FUlISLl68qJYPKdk4UYFAgKioKJ0p5nm1uMbR0VE+jEcd68sLhUJMnToVly9fRkRERKVZD2Qoa6eUlBQMGzYMVlZWiI6OVutysgwNQQyd5smTJzR48GCysrKipKSkOo9/Wi6moAtXydC2MwVduEpPy8V1nnPhwgUyMjKimTNnUkVFhTrUJiIiqVRKsbGx9OGHH5KVlRUBICcnJ1q/fj2lpaWpTU5NSCQSiomJoffff58sLS0JAPXq1Ys2btxI6enpapV1//59srGxod69e1NhYWGdxytjpy1bthAA2rBhgxo0foFQKKTQ0FCaNWsWGRsbE4fDIVdXV9qzZ0+97qUxcebMGTIwMCAej0cSiUTt15dIJOTj40MGBgZ09uxZtV+/ISksLKQ9e/aQq6srcTgcMjY2plmzZlFoaCgJhUK1ylq/fj0BoK1bt9breEX9qbCwkHr37k22trb033//qUHjF6Snp9PGjRvJ2dmZAJClpSV98MEHFBMTo5Fn7lXS0tJo/fr11LNnTwJAVlZWtGjRIoqNjSWpVKo2ORUVFTRjxgwyMjKiiIiIep2jqJ0SExPJysqKhgwZQk+fPlWH2gwNwhJKHaa8vJzGjBlDLVu2pL/++qve58XFxREAiouLq/c5J06cID09PZo/f75ag44MoVBIJ0+eJG9vb3nS4uLiQrt371Z70pKYmEi+vr7Uvn17AkD29va0fPlyun37tlrlyMjMzCRHR0fq3LkzPXr0qN7nKWOnVatWEQDatWuXMqrWSXFxMfn7+5O7uztxOBwyMjKi6dOnU0hICJWXl9d5/v3798nDw4Pu37+vEf1UITY2lkxMTGjKlCkkEok0JkckEtHkyZPJxMSEYmNjNSZHFeprp/LycgoJCSEvLy8yMjIiDodDo0ePJn9/fyouLtaIbjt37iQAtHr1aoXOU9SfcnJyqFOnTuTo6EiZmZnKqFonCQkJtGzZMrK3tycA5ODgQL6+vpSYmKhWOQUFBfTbb7+Ri4sLASBjY2Py9vamU6dOqT3ZJ3reWDB//nzS09Oj0NBQhc5V1E7Xr1+nFi1a0JgxY+oVgxgNB0sodRSxWCwP4pGRkQqdq0yiQkT0+++/EwBasmSJRpJKGcXFxbR//34aPXo0cblcMjQ0pGnTplFwcDCVlZUpdc3MzEzy8/OjPn36EAAyNzenhQsXUnR0tEZbBfLy8qh79+5kb29PqampCp2rjJ2kUil98sknxOFw6MiRI4qqqxAZGRnV/qZRUVE1/qbKPnuaJj4+nszMzMjFxYVKS0s1Lq+0tJRGjhxJ5ubmdOvWLY3LU5Ta7CSRSCgqKooWLlxI5ubmBID69OlDmzdv1ljiJePw4cPE4XDok08+UTgGKfPspaamkp2dHfXo0YPy8vIUVbfe1PSb+vn5Kf2blpWVUVBQEE2bNo0MDQ2Jy+XSmDFjaP/+/RpL9omex6AvvviCANDBgwcVPl8ZO0VGRso/bsXiuntzGA0DSyh1EIlEQu+++y7p6enRyZMnFT5flZf6zz//TADou+++U/hcZcjKyqItW7ZQ3759CQCZmZnRggULKDIyss5EsKioiPbt21elNe348eNa+ZItKSmhAQMGUKtWreju3bsKn6+snSQSCb311lukr69P4eHhCstVhupafZctW1al1VcXE8p//vmHWrduTf369dPoi/ZViouLqW/fvtSmTRv6559/tCa3PlRnJ221ptVEWFgY6evr09tvv63UR6Cyz15ycjJZW1vTwIEDqaSkRGG5iiJr9Z0+fToZGhoSh8Mhd3f3erX6SiQSioyMpPnz55OZmRkBoH79+tGWLVsoKytL47oTEX377bcEgH755RelzlfWTidPniQ9PT2aN2+eRhs8GMrDEkodQyqV0ueff04cDocCAgKUuoaqL/W1a9cSANq+fbtS5ytLUlISrVixghwcHAgA2dnZ0dKlSykhIUF+jGy838yZM+Vd525ublof71dWVkZubm5kampKN27cUOoaqthJJBLR1KlTqVmzZnTx4kWl5CuDbFzqBx98IB+X6uzsLB+XqmsJZXp6OrVr1466du1Kjx8/1rr83Nxc6tq1K7Vv317t43ZVQWan8PBw2rBhQ5XxfpcuXdLqS/vatWtkbGxMHh4eSrdAqfLsxcXFkampKY0aNUrpXhJlkI1LdXNzq3Vc6q1bt2jp0qVkZ2dHAMjR0ZFWrlxJycnJWtOViOjXX38lAPTNN98ofQ1V7HTw4EECQJ9//jlLKnUQllDqGFKplI4dO0Y7duxQ+hqqvtSlUil9+umnxOFw6PDhw0rroSzVFfN06NCBBg0aJP8q11RxTX0Qi8Xk4eFBxsbGKiVzqtpJltR6eHhoZbD/q1RXzNO/f38CQFFRUVrX51Xy8vJ0IplLS0ujdu3aUbdu3Sg/P7/B9JBRWFgoH4srG2+nqeKa+iCVSik7O5veeecdlZI5Vf0pOjqajI2NydPTs0G6VV8t5jE3N6dBgwZRhw4dNFpcU18OHTpEAOizzz5TSb6qdvr111/JysqKsrOzldaBoRlYQqmDqJocqKOVSCKR0IULF6ioqEglXVQhMTGRli1bRq1atSIAxOFwCAD1799fI8U89UEWSJOSklRuHVCHnUpLS0ksFqu1Ol8ZZMU8AwcOJABkaGioUDGPupFKpSSRSCg2NpZycnK0Lv9VcnJy6PLlyySRSBokGXi1uEaWTK5Zs0arwwBqQiwWq/y7qMOfkpOT5bNpNISdZMU1/fr1k9sIALVu3ZqWLVumteEH1VFUVEQRERE6Yae8vDw2llIHYQllE0Rd3Y4NEVBrK64pLCxUezGPssm7On4bbdpp3759ClWgK4vsnj799FOFinnqoiHtpC60rUttxTVnzpzRqaEJ6qCxxr3aimsKCwvVXsxD1Pjjni7FPMYLWEKpZbTRktRQ49iU7S5TprhGlWKel/nll19o9uzZDRJ4tGknDw8Pev/99zUu59V7qm8xT100pJ0aCmX9qT7FNdp89rTVet4QcU9ZGylTXKNKMc+rvA5xT1sxj/ECllBqif3798v/rekAq83AKhaLac+ePTRixAiaPHkyrV27tl5BSp3FNfUp5qmJ3NxcMjExocuXL8v10hbasJNUKqWCggLq2LEj7dmzR2NyZNR0T3UV89RFQ9pJmyjrT+np6QoV12jj2dNmzCPSXtxT1kZE6iuuqW8xT0005bin7ZjHeAFLKLXAW2+9RRwOh+bOnSt3XE0GWG0E1qioKPr777/J3d2dnJ2d6ZtvvqGffvqJWrZsSfPmzau1ovaXX37RyMo11RXzzJ07t9ZzSkpKaMiQIeTn5yfflp6eTiNHjqSff/5Zo+P/tPUCTE1NpVatWlF0dDQRabZLrz73VF0xz86dO2vVqyHtpA2U8SepVEolJSVKrVyj6WdP2zGPSPP3pGzMk0qldOfOHXJyctJIcc2rxTxWVlZ1fpQ39binzZjHeAEXDI3y66+/4ubNm1i8eDGSkpLg4+ODkpIS6OnpQSKRNLR69YJeWe5dIBDAy8sLJ0+eRI8ePXDs2DGsWrUKixcvxrZt25CYmIiEhIRqryUWi2FnZ4f33nsPt2/fRnx8PL788ku1rB3N4XAwdOhQbN++HVlZWTh58iR4PB7EYnG1x0skErRs2RI9evTApUuXADxfM9vd3R0SiQTOzs64fPkyPv74Y3z99de4d++eyjpqE6lUCgCIjY2Fra0tRo4cCeD57/SqTbWJoaEhpk6diqNHj+LRo0fYt28fxo4dW6NOTc1O6vInDoeDli1bomfPnti3bx8ePXqEo0ePYurUqQ22djTAYt6rcDgcvPnmm+jTpw9OnTqFrKwsbNu2TW1rntvZ2eHLL7/ErVu3kJCQgO+++w7m5uY1Ht/U/OlldDXmvS7oN7QCTZ3CwkKMGTMGS5cuxZ9//okdO3Zgzpw52LdvH9q0aQOpVAouV3fz+sePH6NVq1YAngciPT09HDlyBHPnzsXHH38MfX19WFhYyPd17NgR9+/fx5tvvlnt9QwMDODh4QFPT0+N6m1oaIgpU6bUeoyenh4AYMqUKfjhhx8wcuRIZGVl4e2338ayZcugp6eH77//HkKhEHFxcdi6dSsmTZqErVu3ok2bNhrVX1WISP5cJSUlgYiQkpKCuLg4FBcX4/r162jWrBm2bt3aoHqamppi7ty5tR7TlOykbn8iIvzyyy/avIU6YTGvKsbGxvj99981rruTkxOcnJxARDUmq03Jn16mscS8Jk3DNIw2ffbt20fXr18niURC9+7dI6Lnk1EfOnSIRowYQW5ubvTgwQP58eqcU0tdXQqbNm0iGxsbWrNmDT158oSInk/XMHDgQNq2bVulY2VdCnv27KH+/fs3yJQ+iiDTt6ysjI4dO0YcDod69epV7VKNT58+JSKie/fuUe/evenHH3+sdA1l0VTXz8t6Xb16lfr27UscDocGDhxI9vb25OzsTO+88w7Nnz9f7dNCqfuedMFO6kKX/EkTz15Dxjwi9dyTLtlIE+iCP2ni2WvImMd4AUso1YxUKqXi4mKysLCoNDn5y84aHBxMo0ePpqFDh1JiYiIFBQVR69at1bZOrroc9tmzZxQUFERdunShESNGUH5+Pt2/f5+aN28ur0R8NbgMGjSI1q1bV+0+XUE2lqu4uJjefvttGjRoEHE4HFqyZAkRvbBVdfp7e3uTp6enWpZo03Rg/fPPP8nDw4P69+9PgYGBdOvWLZJKpfLxUQUFBbRs2TL67bff1CZfnfekK3ZSF7rkT+q0ky7EPCL13JMu2Ujd6Io/aeqjk6hhYh7jBazLW80QEUxNTTFmzBikpKTIt3G5XHk3hJeXF4yNjbFr1y5MmDAB2dnZWLNmDdq2bduwyr+CiYkJpk+fjv79+8PHxwdjxoyBjY0NJkyYgObNmwNApW6V0NBQpKSkYMGCBVX26RJ6enq4e/cuZs+eDbFYjAMHDmD79u14+PAhxGIxDAwMALzQX9ZFl5aWBn19fZSXl6Nly5YNeQs1ItM5NDQUe/fuRXZ2NrZt24aBAwfKj5HdX3Z2NoRCIX744Qfk5+dj+fLlDaJzTTQ1OzVVf2IxT/dtBDQ9f5LRlGJeo6chs9mmiOxr6auvvqIuXbrIu01e3U9EtGHDBuJwOLR582a16qDOL0DZV2tRURH5+fkRh8MhT09PIqpctSkUCmnYsGG0Zs0a+bbCwkLKzc1VWQd1IpFIaNmyZeTo6EiTJk2Sr6Jy/vx5atmyZY1f4Ldu3aLRo0fT4MGDKTw8XH4tVdBUl3dmZiYNGzaM+vXrJ5978NVWB5nud+7coVGjRpG5uTndvHlTZdnquiddspM60RV/UncLJVHDxjwi9T57RA1vI3WiS/6kibjXkDGP8QLdHRndyHj48CGSk5Px7NkzAIC7uztMTEwgEonkx0ilUnA4HEgkEty5cwcbNmzAp59+is8//7yh1K4TWSuDmZkZPvnkE6xZswYZGRkoKyuDnp6evHLu+vXrqKiowJQpU3DixAmMGDECdnZ2CAwMbOA7qIqVlRV8fX0RFBQkH2Rua2uLNm3aIDo6Wn4cEeH+/ft477334ObmhtatW+O3337DhAkTAEBnCwvatm2LVatW4dixY+jevbv8uXsZLpeLBw8e4Ndff4VQKMQXX3yB3r17N4zCNdAU7dSU/InFPN230cs0RX+S0VRiXqOnwVLZJkRGRgZ16dKFjIyMqE+fPjRs2DCaPXs2cTgcWrduHaWkpFRZ/SAmJoaWLVumEX00Oc9XcHAwde/enY4ePUpEz7/YpVIp+fj4yOfCs7a2ps8//5xSUlLULl8TyL5ce/bsSd9++y0REUVERNA777xD9vb2NGXKFPl8ZupEG/OxiUSiarcnJibS3LlzafDgwfLB9kS62fogo6HspEkayp9UtZOuxTwizT17TTHmETXduKftmMd4ARtDqQbeeOMNBAUFQSqV4sGDB4iOjkazZs0AAKtXr8b+/fuRn5+PPn36wMzMDLa2tvjuu+8wfPjwBtb8BSKRCOfOncPYsWPl401ehv5/LFTv3r3RtWtXnDp1CrNmzYKenh5EIhFatmyJZcuWwdvbu9F99cm+uBcsWIDTp09j48aNWL58OVxdXXHq1Cn06tVLfmxtU548ePAAHTp00IrO9UVmy+LiYpiZmQEA4uLisHnzZqSmpuLdd9/Fe++9B6D2e9MF1GEniUSCnJwcvPHGGxrVNSMjA/fu3YObm1u1ejR2f2oKMQ8AEhISIJVK0bNnT+jrV34dNnYb1YWq/lRRUYHMzEzY2to26Lynr9KUYl6jo4ET2iZDdZVxPj4+9N1339GdO3fo5MmTtHXrVpo5cyZ98sknGtWlvl+A1S2HFx4eXuuKFlKplHx9falVq1ZNdl3lGzdu0NixY0lPT48GDx5MmzdvrnXlHyKinJwc4nA45OTkROvXr6e0tLQ65Whr6cX4+Hjq2bMn/ffff3TlyhWaPn06DR8+nAICAuTHqesrXZvLfipqp4qKCjpx4oRKy3zWhmw5PNnKNe3bt6/zd20of1KHnXQp5hHV/57S0tJo/fr18pVrZs+eXevxr0PMI1Iu7o0cOVK+zGdMTEy94og2ll7UZsxjvIAllGrm5Yf0iy++oL59+1JZWZlWdajLYRMTE8nX15fat29PAMje3p6WL19Ot2/frvW6shfIjRs3KDIystK2pkhJSQlt2LCBunTpIu/Kq4mKigo6efIkeXt7y5cTdHFxod27d9eYtGgz+Zo8eTJZWlrS6NGjadSoURQSEiLfp87Aqs17kqGInZ4+fUr79u0jd3d34nA4ZGRkRNOnT6eQkBCllpsrLy+nkJAQ8vLyIiMjI+JwOOTu7k7+/v5UXFxc67kN6U+aKNwjariYR1T7PRUUFNBvv/1GLi4uBICMjY3J29ubTp48Wesyla9bzCNSzJ8SEhJo2bJlZG9vTwDIwcGBfH195YUx1aGtGKGtmMd4AUsoNYAs4Jw+fZo6depEpaWlRKT5tWxlVOewmZmZ5OfnR3369CEAZG5uTgsXLqx2QltGVR4+fEh37twhorqDUXFxMe3fv59Gjx5NXC6XDA0NycvLi4KDgyslLdpOvry8vIjD4dDBgwfl29Rt+4ZIKF9GETtlZGQo5RMSiYSioqJo4cKFZG5uTgCoT58+tHnzZrXOq6hJNDUXYEPFPKKq91RWVkbBwcE0bdo0MjQ0JC6XS2PGjKH9+/fXmewznlNff1LEJ7QZI7QR8xgvYAmlBiksLCQbGxs6c+aMVuXKHDY6Opr8/f2rtMYcP35cqdYYhuJkZWXRli1bqG/fvvKkZcGCBRQZGUl//fWX1pOvkSNHUu/evenRo0caaWlp6IRSWV5ttW/Xrl2VVvvbt28r3Bqjq2jKTg0V84he3NOuXbtowYIFZGZmRgCoX79+tGXLlipFQgzNIGu1nz59OhkaGlZptdd2jNB0zGO8gCWUauLVrx6pVEpCoZDat29PP//8s9b0EAqFtGXLFgIg74LTxHix+iIWi4mIdCaBlemhzZYTGUlJSbRixQpycHAgANSmTRsCQEeOHNGqHk5OTtXOvyYWi1X+XdQ1Nk8sFpNUKtV6a0J144ptbW3JxsaGAMjHi126dEnrLyeJREJSqZREIpFOLH/3qg4NFfOIns+X+M477xAAAkCOjo60cuVKSk5O1qoeRC9ii67EPNnwA1ks1iayccVubm7yivgxY8YQALp69arW9Kgp5lVUVLAWSzXCEko1kJCQQLm5udU67ObNmzU+lUR1L0EA9L///Y/S09M1KrsuSktLydPTk954440Gn1LD39+fDAwMaP/+/Q2qh1QqpdjYWJoxY4bcVooU86hD/st/y/6dkJBAkydPpmfPnil9bVUTFalUSosWLSJzc3O6fv260nqoguwlOHLkSAJAXC6X9PT0iMPhkKura4N9nBERXbt2jczMzOijjz5SKalU1U7Pnj2rcWiANmIeUdXiGlmL5L59+xq8JUpXYs3Dhw/pjTfeIC8vrwYZ1/oy6enptHHjRurYsSMBIFNTU4WKeVShppgnFArJw8OD/vrrL43Kf11gCaWKJCYmkqWlJU2fPr1ap9BkYKupuObo0aM61e2YlZVFb775JnXs2FG+QoO2CQkJIS6XS++//36Dv2xkyF7qW7duVaiYR1Ncv36dmjdvThMnTqy1UKE2VE1UVqxYQQBoz549Sp2vLHUV1xQVFam1mEcVdu/eTQBo5cqVSl9DFTsJhUKaMGECmZqaVrsqjCb9q7bimqtXr+pM3JNKpfTee++Rnp4eHT9+vEF0yM7Opo4dO9Kbb75J2dnZDaJDdciePdl8lw05fKS0tJSGDBlCVlZWjXLoiq7BEkoVePDgAbVt25acnZ2poKBAKzLrU1yji+PYHjx4QLa2ttSrVy+tJ0rnzp0jQ0ND8vb2bpCu7pp41U71LebRJLLfavbs2Ur9Vqo8e35+fgSA/Pz8FD5XGZQtrlG2mEedbNq0iQAovYShsnaqqKggb29vMjQ0pPPnzyslW1HqW1yja3GvoqKCZs2apdXfSkZBQQE5OztT27Zt6cGDB1qVXRcv20kXCtxkv9Ubb7xBDx8+1IrMpgpLKJVEm61uxcXFChXX6FpglXHnzh2ytLSkoUOH0tOnT7Ui88qVK9S8eXOaMGGC0q1umqI2O9VWzKPppCU4OFjp1lxln709e/YQAFqxYoVC5ymDOotr6lPMoyl8fX0JAO3du1fhc5Wxk6zVjcvlVpqCRRNIJBKKjIxUqLhGF+OeUCik8ePHU/PmzbU2ZvDp06c0ZMgQsrS0lFdo6xI12amuYh5Nkp2dTW+++abOteY2NlhCqQT5+fnk5OSk0S8aoVBIoaGhNHPmTHlXaH2La3QxsMq4du0atWjRgsaNG6fxBC8hIYEsLCxo+PDhKo0L1BT1tdOrxTz29va0dOlSSkhI0Jhu+/btIwC0fPlyhc5T5tkLDAwkLper8rjA2khPT6cNGzaQs7OzRoprqhvH7OzsTBs3btTYOGbZeFMul0uBgYEKnauMnZYtW0YAyN/fX0FN68+tW7do6dKlZGdnp3Bxja7GvWfPntGwYcPIwsJC4x8a5eXlNHbsWGrRokWDjUGui/rYqbpinlmzZlFoaKjG3hsPHz6ktm3bkpOTk9Z6HJsaLKFUkCdPntDgwYPJysqKkpKS1Hptdb2UZNWxujJW8FUuXLhARkZGNHPmTI11Qd+/f59sbGyod+/eDVZAUReK2klWzPPhhx+SlZWVxot5ZLMFbNiwod7nKPpSP3PmDBkYGJCPj4/aW16LiooqrVyjjZcSkWofg4oikUjIx8eHDAwM6OzZs/U+T1E7rV+/Xj7eV928WlxjZWVFH374IcXGxioUw3Q57hUWFlLv3r3J1taW/vvvP43IqKiooBkzZpCRkRFFRERoRIY6UNROsmKeVz8GNVHMk5iYSFZWVjRkyBCt9aI1JV77hPJpuZjuZBbRjdQCupNZRE/La55aoby8nMaMGUMtW7ZUa1WYsivXNGZOnDhBenp6NH/+fLW/ADIzM8nR0ZE6d+7cZJdKEwqFCq/MowyrVq2Sz+1XF0/LxRR04SoZ2namoAtXa/UlIqLY2FgyMTGhyZMnk0gkUou+L3ebKbpyjSaoqZhHnXPBikQimjRpEpmYmFBsbGydxytqp507dxIAWr16tVr0JXqeYO3evVvhlWsaMzk5OdSpUydydHRU+/hAqVRK8+fPJz09PQoNDVXrtXWJmlbmUWfjzvXr16lFixY0ZsyYOn1UkfzhdYBDRITXjH8fPYHgWhoi7+UiraAUL/8AHADtLE3g1qU1eIPaoVOblgCAiooKeHt7IywsDGfOnIGrq6tKOmRlZeHw4cMQCAS4efMmzM3NMXPmTPD5fAwfPvy1WLD+7NmzSE1NhaenJ1q1agUOh6PyNSUSCZKSknDmzBn4+PjgjTfeUIOmuk1JSQmOHz+OgIAAREREQF9fH5MnTwaPx8OkSZNgZGSk9LWJCP/73//w66+/4vDhw/D29q60XxlfAoBbt27BxcUFvXv3xunTp9GsWTOldZRKpYiJiYFAIEBgYCCKiorQp08f8Pl8zJ49G23btlX62uokMzMTR44c0YjPl5WVYfz48UhISEB0dDScnZ0r7VfWTkeOHIGPjw8+/vhj/PTTTyr5aHl5OcLDwxEQEICwsDBUVFTA3d0dPB4P06ZNg6mpqdLXbixkZmbi0KFDGD9+PLp37w49PT2Vr0lEePz4MU6cOAEHBweMHTtWDZrqNpr2+aioKIwfPx6TJ0/GkSNHoK+vL9+nrC+9DrxWCWV6QSl8j99GzP086HE5kEhrvnXZ/hEdrfGtRw+sXboYBw4cwPHjxzFlyhSl5JeUlCAkJET+4jc0NMTkyZPB5/MxYcIElV78jRWJRKKWoPoyUqkUHA5HLQlqYyM7OxtHjhxBQEAAbty4AXNzc8yYMQM8Hg8jR45UKmmRSqWYO3cuDh8+jJMnT2LChAlK+9L305xQnp+J4cOHw97eHhEREUonEnfu3EFAQAAOHTqE9PR0ODg4wMfHBzweD927d1fqmtoiKSkJAoEAAoEAqampaNeunVz3nj17KnXNkpISuLm5ITMzEzExMejUqZNKdrp9NQoeHh7w8fGBv7+/0s/OxYsX5S/+4uJi9OvXDzweD7Nnz4atra1S99qYoec9g2pvNNBELG0MCIVChIeHQyAQ4NSpUxCLxRg1ahT4fD68vLyUji+nTp3CtGnT8M4772DPnj3IKCxT2pfsLU2Uvb1GxWuTUB75Kw1rTiaiQkq1PgivosflgCQVeHxmO3Z++RZ4PJ5CckUiEc6cOYOAgACcOnUKQqEQrq6u4PF4mD59OszNzRW8EwajfiQnJ8uTlpSUFNjb22POnDng8/lwcnJS6FpisRgzZszAuXPn8NWeUwhIFinlS3ocQHj5IEyy4xETEwNra2uF9MjIyMChQ4cgEAiQkJAAS0tLzJo1C3w+H0OHDm10HxFSqRSXL1+GQCDAsWPHUFBQAGdnZ/D5fMyZMwd2dnYKXe/x48cYOXIkysrKsOy3UPwYk6WUnbgg5J/dgZF2+ggKCqrUQlMfEhISIBAIcOjQIWRkZMDR0RE8Hg88Hg9du3ZV6FoMRn0pKipCcHAwBAIBoqKiYGRkhKlTp4LH42H8+PEwNDRU6HoBAQF46623MG3JJiQa91DKl/S5HKyd2gOzB7RT9HYaHa9FQvlr5L/w+/Mfpc8nInA4HCwZ2xkfu3Wq83h1vyQYgL+/PyZNmoTWrVs3tCqNDiLClStXEBAQgGPHjiE/Px9OTk7y59He3r5e1ykvL8eQBWtRaD9cFWUADgcLB9lghWe/ep0ie0kEBAQgOjpa5ZeErqKuj8/09HQMf/9bcHpNVVoXWcz71K0DPh3brd5yZcn+7du3YWVlJU/2hwwZ0uiSfV2AxT3lycjIwOHDhxEQEKDSxyf/hwBcKrHA80XNlH+G65s/NGYabUK5ceNG7Nu3D0lJSbV2HRz5Kw3LQ26rTe4GLyd4V/OlsXPnTqxduxZvv/02jh07Jm8Rkn2VK9uNxXiOp6cnbGxssHPnzoZWpVEjEolw9uxZCAQChIaGQigUwsXFBVZWVkhISMDdu3dr9Cdt+RLwvLtp1qxZGD16NM6dOweRSKSWbqzGQnFxMUJCQiAQCCoNj2nevDmuXr2K5ORknbBTUFAQ+Hw++vbti6tXr8LIyAgeHh7g8XgYN25ck0n2GwoW99TD7du35S3msuExjo6OSElJwf3793XCl86cOYMZM2bg4cOHaNWqldpkapNGmVCWlJTA0dERfn5+ePfddyvtO3nyJL7++mskJSXByroVyjuMRIsh3uBwlRtbkiNYDmH6nSrbx40bhzNnzsiLaw4ePIhbt26hWbNm4PP5r1VxjSYhIhQVFWHgwIFYvnw55s+f39AqNRlkxTz79+9HVFQU9PT05MnApEmTcOLECZw6dQrXrl3D/fv30aydE1r7/KCSzLw/tuLZnQtVtnfp0gVJSUlVBtq3atUKy5cv16niGm0jK+Y5cOAAEhISKsWYbt26Yf/+/Th16hSSk5MhEokhammDFv090LzbSKVl1man+Pj4SsU1IpEI7dq1wzfffPPaFNdoGhb3NIOsmMff3x8HDhwAEVUq5tm0aROio6ORkpKCsvJySE2s0azrcJgO8gLXULnCwdp86e7du5W29e7dG6NGjcKWLVuUktXQKDYwRkfYt28fKioqMGfOnErbT58+DU9PT7i6uuKXX37B5iPnkBV5BKKnhbAa95HS8vRaWsPc5R0AAJcLvGllAmfrcowePbpS60GHDh0QFxeHXbt2se4dNcHhcPDkyRMUFxejU6fn3QWy7jiGapiamuKdd95BYWEh4uLisHLlShw9elTevWpsbIzi4mIMHjwYaVm5UNuXp54BrCYsBpcLdGrVApPfNEJcXBwcHBzkrQeLFi2Cnp4eNm/ejIULF6Jly9erWvJl3njjDXzxxRfQ09PDqlWrsGjRIhw9ehS7d+9Gq1atkJ+fDxcXF6xcuRKC6xm4Hfsn8kI3QpyXDvMRio35rsQrdnJtI8Zff/0FGxsbeXHN+vXrIRQKsW7dOnh5eb3WdlInLO5pBi6XCxcXF9y8eRPHjx/Hb7/9hsDAQHz11VdYsmQJTE1NMWDAAMyZMwfBdwqQfCcBxVeDUJ56C21468HhKNlA9IovfejaEWZmZlUOe//997FkyRKsXbu2UfpSo2w+8/f3x9SpU2FsbFxp+5IlS+Ds7Iw///wTrlNno3zgOzAdMhNPb56BOD9daXlcIxO06OmGFj3dYNLdDdltBuFH/yOQSqXYvXs3cnJyEBQUhBUrViAtLQ2RkZGq3qJCbN++HaNHj8asWbNw4ULlL6G8vDx06NBBq/qoC6lUCgCIjY2Fra0tRo583uLC4XDk+xoTumonf39/eHh4YOnSpYiLi0NSUhI++ugj6Ovro6ysDPdzn4JMzKGuzgwOV0/uS5mtBmD15u2IjIzEpEmTcOnSJTx48ADfffcdPv74YwiFQgQGBqpFbk1ERUXJZwWo7o+bmxsAYPHixejXrx+MjIzQu3dvjepUHf7+/vD09MSGDRvw4MEDxMTEYMyYMWjZsiUiIyOx+9gfyG3nitazv4Nxe2cUXw2CVFSutLxX7bRx1wHcv38fn3zyCZKTk/H333/js88+w7x587Rip5fRVV9SB00p7umqnWQ5hLe3N4KCgvDo0SPs3r0bffv2xYULF7D2x9+Q03Y4LMYugsXItyDMSIIoS/k6jFd9afBYj2pni5k+fbrWfUmdNLqE8uHDh0hISMDo0aMrbU9KSkJSUhLee+896OvrQ3AtDXpcDlr2mQiA8OxurEpySSqBVFQGAOCAsPinQERERGD+/PnywfL9+vWDpaUlQkNDVZKlCD///DO+/PJLdO3aFUZGRpg4cSJ++OFFt6REIkFqaqrW9FEXL0+rkZSUBCJCSkoKgoODsW/fPixatAhLlixpYC3rj67aqTp/6tatG7799lukpaUhNjYWjmPfVrtckkogFZYCJMWcVduRnZ2NHTt2YNiwYfJWmNatW8PZ2Vnj/jR06FBkZ2dX+SPraVi0aJH82Hnz5lWZi1MbvGonLpeL4cOHQyAQIDc3F6GhoWjuPA4klYDD4aBZpyGARIyKohyV5MrsxCEp5n3vj//++w/r1q2rVKmtLTvJ0FVfUgdNKe7pqp2qi3nm5uaYP38+IiIikJaWBreFqwCpBACgZ9YGACAVPlNJrsyX9LgcBFxNq/YYbfuSuml0Xd6XL18GAPTt27fS9ps3bwIA+vfvDwCIvJcLiZSg39IKei2tIX70QGmZ4oIspG2eDkgqwG1ujpa9xuGaefVjWvr27YvYWNWSV0XYtWsXdu/eDR8fHwDAhx9+CE9PT5SVleGbb77Rmh7q5OWunWvXriE8PBx37tyBt7c3srOzYWFhgQEDBiAtLQ33799Hx44dG1jjutFVO9XkT8DzFpGhQ4cCsUK1yiSxEOlbZ4HEQnCNW+B8H3eI5rtVW8DRr18/nDhxQq3yX8XQ0BA2NjaVtiUnJ2PJkiXw9fXFzJkzATx/QQLPp+ZJSEjQqE6vUpudDA0NMXXqVGy+FwlOQSkAQPKsEADANVF+POOrdjrVxx2bfQajRYsWVY7Vhp1k6KovqUpTi3u6aqfafAkAbGxskA9TVDwrgjgvFUUxB8ExbAZD285Ky3zVl37r444lowIa3JfUTaNLKGWDWB0dHSttz87OBgDY2triqbACaf8fWAFAr4UFKp7mKyVP38IWxu2dYdjKAVJxOUrvxqL48lHcKMjCs0/d0Nyo8k/YoUMHHDx4UClZyvDw4cPnL/3/Z+jQoYiIiMDo0aMhFovx6aefak0XdfByUD137hy2bdsGLpeLY8eOoXPnznBycoJQKISxsTH+/fdfbNiwAfb29li9enUDa147umqnmvxJxqu+pCp6LSxgOng6DNu8CZAUZQ9uIPtKKMaOHYeLF6OrzHfYoUMH5OXlITc3V2tTpxQVFcHDwwOurq5Yt26dVmTWhSJ2kpQ9wdNbf8LIrgf0W1gqJU+X7aSrvqQKTTHu6aqd6vKli5ev4sraafL/61vaofX0VdBrptyYRl32JXXT6BLK/Px86OvrV8nsy8qed0cbGRkhNf9Z5eWQ9AwhFSn3UrSe+L9K/2/RcxTyT/+Cp7fO4ufdv2Pc0D6V9guFQpSVlSE2Nlal5eRepVWrVrCzs6syKNva2lpeyCCjZ8+eiIiIwKhRo5CVlVWv69+/fx8lJSVq07c6OnToUOdcerL7Cw0Nxd69e5GdnY1t27Zh4MCB8mMMDAwAABYWFhgxYgRWr14NkUiEb7/9tsbrEhHS09ORl5en+o3UgoODAywsLDRmp1u3bkEikahN37t370JPTw///FP9+KCHRWL1FeMAsHCdW+n/zbu7wMDyDVy5eACbNm3CuHHjKu1/8uQJAODixYsqj7ficrl1jn2USqXw8fF5PmxGIFC5CCI+Pl4t497qayciKfJO+UEqfArLMe8rLa8h7SRDT08PvXr1qrJdHb5ERCgsLERKSopadK0JExOTek3krom4R0QoLS3FvXv31HAnNWNqalpta6m67JSRkYHHjx+rTd+6fCmzWITWs78FicohzExGeUo8pGLlxyLX5ktBQUGYPXt25eMtLAA8H2PKEsoGQpa8CYVCiMig0j6SiMDRV998aKYDp+HprbNY9dUy+NbQ8jl8uAqTP1fDJ598gq1bt1ZZWmv48OEICQnBiBEjKm3v3r07Lly4IC8oqIvFixfj9OnTatO3Om7cuIHevXvX+ZLOysrCpk2bUF5ejgMHDqB79+7yL3gikv8G1tbWePvtt9G5c2dMnToVzs7OmDVrVrXX5HA4mDNnjry7Q1MEBATA29u7ylenuuw0atQoFBQUqE1fGf36VT/JuKFtZ9i+o9kpLFoO8EDRxQPw9fWFr69vtcfIup1VoXnz5nj69Gmtx/j6+uLKlSu4fv26WqosR4wYUadMRajLTgXndqH8QRysJn8OwzbqLXjQlp1kWFpaIj+/anxVhy9JJBKcPn0afD5fbfpWx6JFi/Drr7/W68NE3XGPw+Hg7NmzmD59utrv62UmTJiA8PDwKtvVYSepVIpNmzbhl19+UZu+MuoT80w6D8azxCg8Dv4WtnN/VJtPtRzggZJLATh//nyVhFJW/NgYK/obXUJpZWWFiooKPHnypFLAl60Jm52djeZ2XSqdI3laCCMVxj+8ip7p8+XiJowbg7W+X1ba9+233+L06dNqH0fZqlWraue0XL58OeLi4qo9p0ePHoiMjERwcHCd1//555812kJZn9YhGW3btsWqVavQqVMneWuHzLlkf+/duxdz586Fnp4eBg8ejKlTpyImJgazZs2qcXqNAwcOoLi4WD03VAMODg7VrqerLjtFRESotYVy+/bt2Lt3Ly5evIjmzZtX2f+wSIwvzmm2VZdrYARTcwv069Mbfn5+lfbt27cP27Ztw/nz5+Vf7krLqWNO2CNHjsDPzw9hYWHyqVpUJSYmRi0tlPWx0/w1P+PpjTCYu85Fi56jVJb5Ktqyk4ya1qVWhy/p6elhwoQJNV5HXbz55pv1PlbdcY+I4ObmpvF7rGneUXXYicvl4ssvv8TcuXNVVVOOojHPpMtQ4I8teJZ8UW0JJdfACOYWltU2DhQWPh//rOiytLpAo0soZd0HDx8+hLOzs3y7LFn5+++/8U6vvuDg+UJJFU/yIXmSB4Pe46peTElklZP9e/WsMrD3yZMn6NGjR40DftXNZ599ho8+qnmOzTZt2mD//v11jrXRtQHer3apFRQUwNLy+XgwsViM8PBw7Nq1C9evX8e9e/fw4MED9OjRA0DNX3aKBHd1oy47VdcFqApubm7Yu3cvzMzMKvmTjC7CCiw5d1atMl+FhKV4UlyETp06VfGbHTt2wNraGu7u7hrVIT4+HvPnz8f69eurPHuqoK7pheqyU9RPP6P40iG07O8Bs8Ez1CLzVXTBToB6fInD4cDS0lIeU3QFdcY9DocDCwsLtSX4iqIuO9nb29d7edj6UN+YJxvqQxVigKTPZ6VQEyQsRWFBfrUr4jx8+BDW1taNcrWcRjdt0JAhQwA8TxxfpkePHujatSt+++03GOtz0M7SBADw9GY4AA6ad1G8C1oqLH3+ML0EEaH48lEAwJRJE6qcc+PGjUoDkTVNZGQkZs2ahTVr1lS7vzFPoSHj2rVrOHr0qLzr0MDAADt27EBhYSEGDRqEqVOnoqCgQP5s6CK6aqea/Al43t3099VYGEvU02VLFaJqg7Lw2mEQEcaPH19lX1xcnMbtmpeXJ18Qgc/nIycnp9If2fit+/fvIz4+Hjk5OSgrK0N8fDzi4+MhEok0qh9Qu50OHjyILz//DC27DoOF+wKVZdVkJ9H1ow1qJxm66kvqprHHPV21U02+VFRUBLFYjLycTLTkvJjZ4umt5x/URjaKN7rU5EvSG8E64UvqptG1UHbo0AE9e/bE+fPnMW/evEr7Nm3ahKlTp2Ls2LEw7TYShdduoCTuD7ToNRYG1i++cCqKHiFz53w07+kO68mf1ShLlHMfeSc3waT7SBhYtAWJhSj99yqEGUkwfKMrPv30U/B4PMycOROWlpaIi4tDQUEBPDw8NHb/1bFjxw4sWbIECQkJCAgIqLYZvzGTn5+Pffv2YfDgwejT53kRVOvWreHq6goOh4OFCxdCKBSqfdyqutFFO1XnT3fu3EFAQAD27duHx48fw6z7MEhKSyAVC1EUewQAYGzfE8btXqxPn7p+Mozse8KGt75GWZKnhcj2XwyT7i4wsLIDAJQ/iEPZgzjo6+sjLCwMFhYWGDlyJLhcLnJzc5GQkFBrK4c6CAsLQ2pqKlJTU+VDZ16mffv2SElJwYIFCxAdHS3fLnsWHz58WKnwQBO8aiepVIqLFy9i69atOHnyJACguZkFShMjQXjRUmVk1w0G5i+mRFLVTsbGxrh27Ro6deqEnj2f219bdnoZXfQlddMU4p4u2qm6mFdQUIAVK1bA398fQqEQLbq7wMC2E4QZSSi9dwWGNp3QvGflMZ9K+9LDGyj772+MHz++Sq7QEL6kThrlWt5bt27F6tWrkZubW6WS+sSJE1i7di2SkpMhMWyJFk7uMBs2Bxy9F7mz6HEKsvd+DNPBM6pUYL2MuCgHRVH7Icz+F9JnhQCHAwMre7ToNQ6+M4bgXNBBnDt3Dnp6epg4cSKA5y2UqampWhtQy+VykZOTg/z8fHh4eMDIyAihoaHyMTiPHj1C27Zt1TruriHg8/m4ffs2zpw5I3/pz507F1ZWVti8ebP8OF1dnkyX7bR161asWrUKvr6+OHr0KBISEmBpaQlHR8cax0CZDZsjX9ZPKipD+paZMOk2Eq08ltYoR1r+FAXndkGYdReSpwUgqRQGFrbgzfCAjXlzHDlyBCkpKbC3t8ecOXNgaGiILVu2ICcnp1EuQ6Zutm7dipUrV+L9999HYGAgMjIyYGVlVW3higyriZ+ihfPzCZxVtdP0SePQ0hAICgpCYWEhevXqBR6Ph4qKCnz77bdas5Mu+5K6acxxT5ftJMshdu7cicDAQISHh6OiogK2traoqKhASckTCCsk0De3gUmXYTAdNB1cwxcr86nqS4vfexc/fL1CXrkvY+fOnfjiiy8abcxrlAllcXExOnTogI0bN2L+/OonGAeAt/Zew+UH+ZBIK9/ikxthKIz0xxsf7IZec8XGl+hxORjawQoH5w8CAOTk5ODo0aM4ePAg4uLiYGRkBB8fH/D5fLi4uNQ4sFxdyJy2devWKC4uxpw5c+RdJaNHj25SwXXy5MkoKiqCg4MDiAiHDx/G0aNH1VpZqil00U5FRUUIDg7G77//jpiYGOjr68PLyws8Hg/jx4+vNNF4Tb4EAGX//YXcwG9gO+8XGLZ2qLf8V32JiHD58mUIBAIcPXoUBQUFsLKywtKlSzFnzhy1jqNqTKSnp+PQoUM4cOAAkpKS0Lx5c7z99tvg8/kYMmRIpURCG3YSiUQ4c+YMAgICcOrUKZSXl8POzg5ff/21fB14TaKLvqRJGmvc00U7SSQSREdHY9++fTh06BCICAMGDACfz4e3tzfatGkjP1YbvvQqffr0gaurK7Zu3arwvekCjW4MJQCYmZlh6dKl2LRpU60VlN9Pc4I+t+pXW3lqAlr2n6JwMgkA+lwOvp/mJP+/jY0N/ve//2HBggWwtbXFF198gYsXL8Ld3R3t2rXDl19+ifj4eLWtg1wbZmZmCAsLw8KFCzFx4sRG+1DWxB9//IEZM2bAwMAAubm5OHTokM4H1epoSDsJhUIcP34cM2bMgI2NDRYuXAhDQ0PMmDEDjo6OOHz4MKZOnVpl1ZqafAkAylNvw6T7SIUCK1DVlzgcDoYNG4bt27dj//79MDY2xvDhw7FmzRq0b98ebm5u2LNnD4qKihS97UZHUVER9uzZA1dXV7Rv3x5ff/01nJyc8M477+CNN97Ar7/+iqFDh1ZpldKGnWQr8xw7dgwBAQEwMjKCo6MjFi5cCBsbG8yYMQMnTpyAUKjeFZaqo6nHPKBpxL2GtBMRIT4+HkuWLEG7du3g7u6Oq1evYtSoUXB0dMTVq1exePHiSskkoB1fepkzZ87g33//xVdffaXQNXWJRtlCqQhH/krD8pDbarveBi8neA9oV+sxRIRr165BIBDgyJEjyMvLQ/fu3cHn8+Hj44P27durTR89PT1kZ2dXmQD1yJEjWLBgAdzc3BAeHt5kvtZllJWVqXXieE3TkHaSSqWIiYmBQCBAYGAgioqK0KdPH/D5fMyePRtt27at13UOxP6H1X/cVZte9fElACgpKcHx48cREBCAiIgI6OvrY/LkyeDxeJg0aRKMjIzUplNDUl5ejvDwcAQEBCAsLAwVFRVwd3cHj8fDtGnTapye5VW2n4nHxuhMtelVXztlZmbiyJEjEAgEuHnzJszNzTFz5kzw+XwMHz68zmmb6svrGvOAxhX3GtpOqampOHToEAICApCUlIRWrVrB29sbfD4fAwcOrNcQgYbIHxozTT6hBIBfI/+F35/Vz4pfL4gADgfurUqx93PFvgzFYjHOnTuHgIAAnDhxAmVlZRgxYkSlYh5VeLlb4VXi4+Ph6emJ9PT0JhdcdXHMUG00hJ1kxTWHDh1Ceno62rdvDx6PBx6Ph+7duyt0LbFYjGnTpuHaE3M0HzpHZd30EsNwZc/XCq8EkZ2djSNHjiAgIAA3btyAubk5ZsyYAR6PJy/maUzIimtkyX5xcTH69u0rT/arKxKqjdzcXIwYMQKijm4g5ykq69fm0TVc2rWqylivukhKSoJAIIBAIEBqairatWsHHx8f8Hg8eTGPsryuMQ9oXHGvIexUUFCAwMBABAQE4NKlS2jWrBmmTZsGHo+HMWPGKPwc//7771i8KxwWLm+rrNuXY7vgIzfdmp5P3bwWCSXw/EtjzclEVEip2jERNaHH5UCfy8GbhXH4c+fXCA4OVrqK+8mTJzhx4gQEAkGlYh4+n4/JkyfD2Ni47ou8QnR0NIYNG1ZlZRYZ+fn5CAsLw9tvq+4QmkAikah9nKlUKgWHw9GpwKstO2VkZODw4cMICAiQF9fMmjULPB4PQ4cOVSrhkkqleOuttxAYGIhTp06h0LKbSr708ZDW+H7+ZNja2iIyMhJmZmYK6wQAycnJ8qTl5WIePp8PJ6fqu5V0hdu3b8uT/YyMDDg4OMiT/W7duil1zaKiIri5uSEnJweXLl3CXwUGKtlp1pvAhvc8MHPmTBw8eFDpZ+fy5csICAjAsWPHKhXzzJkzB3Z2dgpfs7HHPCICEan940cTsVQVtGWnsrIy/PHHHxAIBPIWzzFjxoDP58PT07PKMs315cSJE5gxYwbmzZsHtwUr8fUp5X3pm6k9mnTLpIzXJqEEgPSCUvgev42Y+3nQ43JqfTBk+0d0tMb305zQ1swIc+bMQWhoKE6fPo1Ro1RbiUJWzCMQCPDXX3/B1NQU06dP11oxjy4gm67Fy8sLNjY2dZ9QDyQSCW7fvi1fVu11KOSQFdcIBAJERUXByMgIU6dOrba4RlGICB999BF27dqFo0ePYsaM55Nmq+JL9pYmuH37NlxcXNCzZ0+cOXMGJiYmKun4ajGPk5MT+Hy+ThXzyIprBAIBbt++DSsrK8yaNava4hpFKS0txbhx45CYmIiLFy/KWwFVtVNgYCBmz56NDz74oN5LCNbEq8U8QqEQrq6u4PF4Winm0QXS09MREBCACRMmwMnJSW1xPicnByEhIXBwcJDPONKUkRXXBAQEIDg4GCUlJTUW1yjDhQsXMHHiRHh6euLQoUPQ09NT2ZdeB16rhFLGv4+eQHAtDZH/5CItvxQv/wAcAO2sTODWuTX4g9uhY+sXpfsikQhTp07FpUuXEBERgYEDB6pFn3/++Ufe0vLff/+hbdu28u6hXr166VRLm7oICQnBzJkzsXDhQuzYsUOt95idnY0RI0aAw+EgJiZGbcmqLiEUChEeHg6BQIA//vgDIpEIo0aNAp/Ph5eXV73H29XFypUr8d1332HPnj3VzqigrC8BwNWrVzF69Gi4uLjg+PHjKiW+MkQiEc6ePQuBQIDQ0FAIhUK4uLiAx+NhxowZWk9aioqKEBQUhICAAFy8eBFGRkbw8PAAj8fDuHHj1HbPnp6euHjxIi5cuIBBg6pWkKpipz179mDhwoVYuXIl1q1bp7K+wPOZOkJCQiAQCBAREQFDQ0NMnjwZfD4fEyZMaDLjYl8mJydHPmfkpUuX1BqXiAgffPAB9uzZg6CgIEybNk1t19YViAi3bt1CQEAADh8+jKysLLz55pvylv3OndWzvPK1a9fg7u6OESNGIDQ0tIqPquJLTR56zXlaLqagC1fJ0LYzBV24Sk/LxbUf//QpDRs2jCwtLenOnTtq1UUqldKVK1fo448/JmtrawJA3bt3p++//55SUlIUuo5YLCapVKpW/dTFuXPnyNDQkLy9vamiokIjMh48eEBt27YlZ2dnKiws1IgMVVHUThKJhKKiomjhwoVkbm5OAKhPnz60efNmyszMVLt+fn5+BID8/PzqdbyivkT04lmYPXu22p+F4uJi2r9/P40ePZq4XC4ZGhqSl5cXBQcHU3l5uVplvUxZWRkFBwfTtGnTyNDQkLhcLo0ZM4b2799PJSUlapVVUVFB3t7eZGhoSOfPn6/XOcrYadOmTQSANm/erKrKVcjIyCA/Pz/q06cPASBzc3NauHAhRUdHk0Qiqfd1dDnuFRQUkLOzM7Vt25YePnyoERnKPAsNgaJ2SklJoe+//566d+9OAKhVq1b08ccf09WrV9Vu69u3b5OlpSUNGzaMnj17VufxyvhSU+a1TyiJiOLi4ggAxcXF1ev4wsJC6tWrF7Vt25YePHigEZ1EIhGFhYXRnDlzqFmzZgSARowYQTt37qT8/Pxaz1X0frTJlStXqHnz5jRhwgQSCoUalXXnzh2ytLSkoUOH0tOnTzUqSxnqa6fbt2/TsmXLyN7engBQ+/btydfXlxITEzWm2549ewgArVixQqHzlHn2goODicvl0vvvv6+xZCArK4u2bNlCffv2lSctCxYsoMjISIWSlpqQSCQUGRlJCxYsIDMzMwJAffv2pS1btlBWVpYa7qAqUqmU3nvvPeJyuRQSEqLQucrYydfXlwDQ3r17FVW13iQmJpKvry+1b9+eAFC7du1o+fLldPv27TrP1dW49/TpUxoyZAhZWVlp1GeJiIRCIU2YMIGaN29OV69e1agsZamPnfLz82nnzp00fPhwAkDNmjUjHx8fCgsLI5FIpBG9/vvvP7K1taXevXsr1Aihq89dQ8ASSlLugcjJyaGOHTtShw4dNPbCkFFSUkIHDhygcePGEZfLJQMDA/Lw8KDAwEAqKyurcryuPuAJCQlkYWFBw4cPr9fXnzq4du0atWjRgsaNG6fxBFZRarNTeno6bdy4kZydnQkAWVpa0gcffEAxMTFqSYBqIzAwkLhcLi1atEjhBE/ZZ2/fvn0EgJYvX67QecqQlJREK1asIAcHBwJA9vb2tHTpUkpISFD4WgkJCbR06VKys7MjAOTg4EArVqygpKQkDWhemWXLlhEA8vf3V/hcZewklUrpww8/JC6XS4GBgQrLVASJREIxMTH0/vvvk4WFBQGgXr160caNGyk9Pb3ac3Qx7pWXl9PYsWOpRYsWdP36da3IfPbsGQ0bNowsLCzqlYhrm5rsVFpaSseOHSMPDw8yMDAgLpdL48aNo4MHD9KTJ080qlNWVhZ16NCBOnXqRDk5OQqdq4vPXUPBEkpS/oFISUmhN954g3r27Flnq6G6yM7Oph9//JEGDBhAAMjU1JTeffddunDhgrzLUBcf8Pv375ONjY3CX3/q4MKFC2RkZEQzZ87UWBe7Mrxqp8LCQtqzZw+5ubkRh8MhY2NjmjVrFoWGhmotGT5z5gwZGBiQj4+PUomrKs/eli1bCABt2LBB4XOVQSqV0qVLl+jDDz8kS0tLAkBOTk60YcMGSktLq/G8tLQ0Wr9+PTk5OREAsrKyog8//JBiY2O11t26fv16AkBbt25V6nxl7SSRSGjOnDlkYGBAZ8+eVUq2ogiFQgoNDaWZM2eSsbExcTgccnNzoz179lSKJboW9yoqKmjGjBlkZGREERERWpVdWFhIvXv3JltbW/rvv/+0KrsuXrZTRUUFXbhwgd59910yNTUlADRgwAD66aefFE7slCU/P5969uxJdnZ2Cg0tk6Frz11DwhJKUu2BSEpKImtraxo0aJDWWt1k3Lt3j1avXk1vvvkmAaC2bdvSkiVL6NChQzr1gGdmZpKjoyN17tyZHj161CA6nDhxgvT09Gj+/Pk6M8ZK9txt2rSJpk+fTkZGRsThcMjd3Z38/f2puLhYq/o8evSITE1NafLkyUp3K6kaXFetWkUAaNeuXUqdryxCoZBOnjxJ3t7e8qTF1dWVdu/eTYWFhVRYWEi7d+8mFxcXebLv7e1NJ0+e1HrL986dOwkArV69WulrqGInkUhEkyZNIhMTE613qxYVFdG+ffvI3d2dOBwOGRkZ0fTp0+n48eN05coVnYl7UqmU5s+fT3p6ehQaGtogOuTk5FCnTp3I0dFRI2OsleXvv/8mAMTn86lt27YEgN58801avXo13bt3T6u6SCQS8vLyImtra0pOTlbqGiyhfAFLKEn1B+Lvv/+mGTNmkEgkapBkpbpiHgD00UcfKfXFpU5KS0vJy8uL7O3tKTU1tUF1+f3338nQ0JD279/foEmlrLhm2rRpclv16dOH/Pz8KCMjo0H1io2NpdLSUqWvoaovSaVS+uSTT8jc3FxrXYSvIivmGTVqFHG5XOJyucThcOTJ/v79+7We7Mu4du0amZub0yeffKLSM6yqnUpLS8nDw4MSExMbzJdeLeZp2bIlAaDdu3drfFhIbUilUtq3bx8ZGhrSwYMHG0wPIqLU1FSys7MjLy8vlfxaHciKaxwdHeXjmD/++GO6cuVKgz1DYrGYHj9+rFKBLUsoX8ASSlLPAyGVSnWiO1UkEtFPP/1EAMjIyEihYh5NIBY/r3rTZFWtIshakxrCVq8W19jY2BAAjY9HUwRVA7u6fEksFpNEItH6i6a64po33nhDPkZS3cU8iuomkUjUUsmsDjvJdNEFEhMTad68efIPNEWKedSNLLboyphtWextCFtVV1wzfvx4AkDXrl3Tuj7VoQu+1FRoXOuU6TAcDqfOSWr9/f2Rm5urUT0MDAzkc52dO3cOBw4cgImJCRYtWgQbGxt4enoiKCgI5eXlCl9bKpUqfI5slQRdmVdONqeYtiaOz8jIwKZNm9CrVy84OTlh9+7dmDRpEmJiYnDq1CkAQIcOHbSiS33QhTlPORwO9PX1weVytabP7du3sWzZMrRv3x5ubm44f/48Pv74YyQlJSEjIwPp6elISkrCRx99hPPnz8PNzQ0ODg5YtmwZbt9Wbq1fRf2Jy+WCy+VCX19fJ+wk06U2tBHzAKB79+746KOPADyfN3PChAnYtWsXnJyc0Lt3b2zatAkZGRlKXVtRO8liizrmGFUHsthbl63URVlZGQIDA+Hp6QkbGxssWrQIzZs3x8GDB5Gbm4vvvvtOq/rUhS74UpOhoTNaXUBbXxgeHh70/vvva1QGUfX3U59inrr45ZdfaPbs2Q02DrIhUKaVob7FNdr+stVGq2xDfa0rYydli2uULeZ5lYb0p6YW84iq3lN9i3nq4nWLe8r4kiLFNdqMEU055ukiLKEkzT8QUqmUCgoKqGPHjrRnzx6NyHiZuu6npmKemzdv1voizc3NJRMTE7p8+TIR6U6XjroRi8W0Z88eGjFiBE2ePJnWrl1b58ukvLycQkJCFCqu0VYg2r9/v/zfmg6w2gyuythJ3cU1tRXz1DX3aUP6U1OLeUS131NtxTx1dQW/DnFPGV+SSqV08+ZN+uKLLxQqrtFGjGiqMU/XYQklaeeBSE1NpVatWlF0dDQRqT5uozbqez+vFvO4uLjUenxJSQkNGTKk0sop6enpNHLkSPr55591ZpykskRFRdHff/9N7u7u5OzsTN988w399NNP1LJlS5o3bx49fvy4xnNnz56tcHGNNp67t956izgcDs2dO1cr40e1cU/K2kkikVC7du0qrVyjzuKaV1fmOXHiRK3JSkP6U1OLeUT1v6eXi3k4HE6d09M05binrC9VVFRQeHg4ASBra2uFims0/ew1xZjXWGAJJWn2gZAN3D906BA5OztX2qepAKvM/YhEIkpLS6vxBShzyAULFpCnpycRPZ+MunPnzjRs2DCKioqiiIgI+uijj2jNmjV09+5d1W9Eg7z62wcEBJClpSWtXr2aFi9eXEn/AwcO0KBBg+jChQvVXkssFtOtW7cUXgVD04Hol/9j77zjojq2OP7bXToCoiBFsSuKXSOiYMeCDcSCsGvURE00dk1MNBGNPXaNLfa4q6DYFVCxV1TsYkPBivQqsOzuPe8P3m5A6vYF+X4+ft7L3ntnznDmnHvuzJyZDRuoefPmNHXqVHJ2dqYhQ4bIAih1OVhVt0mVepIm3Kj7IAKivI2SS/oba9ueKprPI1KsTaUdg6htPakSVdoSUd47IzQ0VO4txtTZ9yqCzyvPVCblqBEiApud9yeOjIwEESEmJgaHDh3Czp07MWHCBEyfPl3LUuahr68PBweHYhdKSxeaDxw4EJ8+fUKXLl2wePFicLlcnDt3Dq6urrhy5QqEQiEiIiLg7OwMPz8/xMXFabIZZSIhIUG2EFsikQAAAgICMHr0aEyaNAnz58+Ho6Oj7FrDhg0RFRWFBg0aFFmenp4eWrZsCScnJ800oIykpKSgV69e+PXXX/HTTz/hw4cP8PX1RVxcHDgcjkJJVppE1Xpis9no1q0b7Ozs1C67nZ1diYlfFcme8lOefB4A1K1bt8TrFUVPqrYlIO+d0adPH+jr66u/AWWkvPu88k5lQKkmiEhmwOHh4QgODsbjx4/h4+OD6dOnY926dcjJyUFGRgbS0tK0LG3JEBEAICcnB0KhEOHh4UhPT8fOnTvx+++/w9DQEHp6epg3bx7Wrl2LEydO4Pbt23j69CkCAgIKlKFtVq5ciZYtW2L+/PnIzMwEh8NBUlIS4uPj0aBBA1hbW8PS0hIACrwY69WrBwsLC22KXmZ27dqF27dvY+7cufjxxx9ha2sLX19fTJkyBRkZGfD19UV0dLSsfZ8+fdKyxIWpyHqqSPaUn4rk84CKo6eKbEtSKoLPqxBoZ2BUt1DnNN2ZM2fI09OTvvnmGzp48CA9ePCAGIaRrbtJTk6m2bNn0z///KOSuolU2x7pNEFaWhp9++231KFDB2KxWDRr1iwi+m96q6ipLB8fH/Ly8qL09HSl5VAVnz9/pqCgIHJ0dKTOnTtTUlISRUVFkampqWwq9Mu2dOjQgRYuXFjkNWVQR79LS0sjS0tL2rx5s+z3/PslHjp0iNzd3alTp0705MkTCgoKoho1aqjsJA1VtUmX9KRKdMWeKprPI6r0e8Wha7akSj1VJJ9XEdCNjaAqGNKv9GPHjmHHjh2IjY3Fxo0b4ezsLLtHOk0QGxsLoVCIpUuXIikpCb/++qtWZC4ODoeDZ8+eYcSIERCJRPj333+xadMmREdHQyQSydohbTPDMGCz2Xj79i309PSQk5MDMzMzbTahACYmJhgyZAi++eYb+Pn5oVevXrC1tYWHhwdMTU0BFNyX7NixY4iJicHYsWMLXdM1iAjm5ubo1asXYmJiZL+x2WzZ6JG3tzeMjIywdetWeHh4IDY2Fv7+/rC3t9eu8F9QUfVU0exJSkXyeUDF0lNFtSWgYvm8CoE2o1ldQR1fGB8+fCBXV1dq166dLFnjyy896VfU48ePqUePHlS1alW6d++e0nWrqj0SiYRmz55N9erVo/79+8uyIcPCwsjMzKzYL/AHDx6Qu7s7ubi4UHBwsKwsXUEqS2pqKq1cuZJYLJZswX3+hdtCoZBcXV3J399f9ltKSgrFx8erRA51jRL99ttv5OjoSBkZGUVeJyJavnw5sVgsWrVqlUrqlqLKNumKnlSFLtlTRfN5RJV+ryR0yZZUPUJJVHF8Xnmncg2lmrC3t8cff/yBAwcOwMnJCQzDFPrSY7PZeP36Nf7++28IhULMnDkTrVu31o7AxVC9enXMmTMHQUFBsLGxAZCXcGBjY4NLly7J7iMiREVFYfz48ejevTtq1KiBf/75Bx4eHgD+W5ujC0i/Xi0sLDB58mT4+/vj/fv3yM7OBofDka17unXrFsRiMQYOHIijR4+ic+fOqFWrFg4ePKjlFhQkOjoaT58+xefPnwEAPXv2hImJCXJzc2X3SPufRCLB48ePsXz5ckybNg0zZszQltilUtH0BFRMe5JSUXweUPH0VNFsqaL6vHKP1kJZHULdXxjFbavw5MkTGj16NLm4uNDatWtlv+vi6IMUqWzNmzenRYsWERHR+fPnadSoUeTg4EADBw6U7TtXHLq2vu3QoUPk5OREgYGBRJT3xc4wDPn5+ck2v7aysqIZM2ZQTEyMyupVhZ7ev39Pjo6OZGhoSG3atCFXV1caMWIEsVgsWrhwIcXExBTaJufKlSs0e/ZsZcUvEmXaVFq/0Jae1Ikq7EkRKprPI9J9v6dJdNmWlNVTRfJ5FY3KNZQaQLreJi0tTZY1FxERgVWrVuHNmzcYM2YMxo8fD+C/tTi6ilS2sWPHIiQkBH/99Rd+/fVXdOvWDSdOnECrVq1k9xbXFhaLhU2bNqFTp05o1aqVWtboCIVCBAcHIygoCNu3b4exsXGhe+j/a2xat26NJk2a4MSJExg+fDg4HA5yc3NhZmaG2bNnw8fHRydHUQCgZs2aCAoKAsMweP36NS5duiRr67x587B7924kJSWhTZs2sLCwgJ2dHRYvXiw7713bpKamIigoCHfu3MGWLVuKvKci6Kk4lLUnhmEQExOD8+fPY+jQoahataomxS+WiuTzAOX1JBKJcOHCBWRlZcHDw0N2vrYqISI8ePAAfD4fnTp1wsCBAwtt6VMRbKm8+7wKjXbjWd1AE8eQ3b9/n5o3b06vXr2iGzdu0JAhQ8jNzY34fL7sPlWtt9HkF9Pdu3epd+/exOFwyMXFhVatWlXiiTJEeWtyrK2tCQA5OTnRkiVLVPIVLJFI6OLFizRu3DiqWrWq7OSaJ0+elHo285w5c8ja2lqj5/WqSk9Ftc3Pz48WL15Mjx8/puPHj9OaNWto2LBhNHnyZKXqKo2ytCk7O5sOHTpEgwcPJgMDA2Kz2eTu7k7p6ek6qSdNIq89MQxDW7ZsITabTQYGBuTt7U2HDh0q9fSWiubziHTf740ZM4YAUNWqVWncuHF06dIllbQ/JiaGlixZQk5OTrKTazZt2lTiM9q0JVXoqbz5vK+FyoCSNNchBgwYQNWqVSN3d3fq0aMHHT58WHatvDpWKenp6bR8+XJydHSUTT2URG5uLp06dYp8fX3J2NiYAFDnzp1py5YtlJSUJFfdjx49otmzZ5ODgwMBoDp16tCcOXPKdHKN1DHdvXuXLly4UOA3daNqPeXvQzNnzqS2bdtSdna2SsouK8W1SXpKzdixY8nCwoIAUNu2bWn16tVlOrlGm3rSBvLa04cPH2jVqlXUtm1bWdAyduxYunjxYpG+paL5PKLy4feePHlCc+bMoTp16hAAql27Nv3666/06NEjuepNSkqiLVu2kJubGwEgY2Nj8vPzo1OnTpV6co22bUkdiXtEuufzvkYqA0rSbIfw9vYmFotFe/fulf1WERxrfqKjo+nx48dEVLa2paen07///kt9+vQhNptN+vr65OnpSQcPHizWObx7947++usvatmyJQGgatWq0Y8//khXrlzRmczK0lCHnqQvhpCQEGrUqBFlZWURkXrPss3Pl216+PAh/fLLL7Jgv27dujR37lyKjIzUiDwVAXntKTIykubOnUt169YlAOTg4ECzZ8+mhw8fyu6paD6PqHz5PYlEQleuXKEffviBLC0tCQC1atWK/vrrL3r37l2Rz2RlZdGBAwfI09OT9PX1ic1mU58+fWjv3r2Fspt1GXXtbqErPu9rpjKgJM13iC5dulDr1q0pLi6uyC9DZb8W1TmVqm5iY2Np7dq11L59ewJA5ubmNGbMGDp37hwlJibS9u3bqXv37rKF48OGDaNjx46RUCjUqJyq+Nuos9+lpKSQra0thYaGqrzskpC2afLkydSiRQsCQNWrV6cJEybQtWvXNN6ndGkUUxttv3r1Kk2YMIGqVatGAKhFixa0fPlyOnXqVIXyeUTl1+8JhUI6duwYDRs2jAwNDYnFYlH37t1p+/btlJiYSOfOnaMxY8aQubk5AaD27dvT2rVrKTY2VqNyEumWnr5E2z6vMqCsDCiJSDsdokWLFkXuv5abm6v0nl+qaI9EIqEzZ85QcnKyUrIow7Nnz2jOnDlkY2NDAGT/nJ2daceOHZSamqpxmaQO9f79+7LRCEVRlZ5EIlEhGYVCIdWpU4fWr1+vlIxlJSUlhbZt20bt2rUjAGRoaEg+Pj50/PhxjQf7RHl/A4lEQpcuXSrTlLq6+fjxo2zNnDaCXKFQSMePH6fhw4eTkZGRzJZ+//13SklJ0YgMxfk8sVhMubm59PnzZ6XKV4U9PX78mB48eEBE2vkYSU1NpR07dpCzs3MBn2dra0tz5syh58+fa1wmKUlJSXTmzBmd2IXkSxm04fOkVAaU/1EZUJJ2OoTUWX3ptD58+ECWlpa0bt06hctWtj0Mw9DkyZOJxWLJtpXQJEUl1zRu3Jg6deokG2lRZTKPvIhEIvL29iYjIyO6ePGiwuUoq6esrCzicrn08ePHIl9+q1atUuvfp6jkmg4dOhAAndhCJSkpiZycnMjBwYHevn2rNTnevHlDDg4O1KxZM7nXB6uDtLQ0mj9/PgEgFoslVzKPMhTn8yQSCQ0YMIC6du0qm65UBGXt6cKFC2RoaEje3t6FPtI0wZfJNZaWluTq6kqNGjVSSzKPvAQEBBCLxaIpU6YoFWwrq6f169dTQECAVnxeUVQGlP9RGVCSbnUIhmFo1qxZBID27NmjUBnKtmfevHkEgLZu3arQ84pSluQaVSbzKENOTg65u7uTmZkZ3b59W6EylNFTbm4u9e/fn0xMTIqtXx0jLKUl1+iSLRHl7VlXt25dcnR01EpmeFxcHDVu3Jjq1aunsrODVYFUT6GhoXIl86iLq1evkrGxMQ0YMKDUpJLiUKbv3b59m6pUqUK9evVSa1D9JWVNrlFVMo+ybNmyhQAUOElHXpTR0+7duwkA/fLLL2pbOiEvuubztEllQEm61yEYhqGxY8cSh8Oho0ePyv28Mu1Zs2YNAaBly5bJ/awiKJNco0gyjyrJyMggFxcXql69ukJJJorqSSKRkJ+fH+nr62tsvVBZk2t0zZaIiKKiosjW1pbatGmj0WUSqamp1KZNG7K1taWoqCiN1VsWitJTWZJ51EloaCjp6+uTn5+fQsGson3vyZMnVL16dXJxcdFIcosyyTWKJPOomqVLlxKAAhvTy4Oiejpy5AhxOBwaN26cTq2N1kWfpy0qA0rSzQ4hFotp2LBhZGBgQOfOnZPrWUXbs3PnTgKgthMFpKSkpKg8uaakZB51ZvslJSVR8+bNqWbNmhQdHS3Xs4roiWEYmjBhArHZbDp48KCc0srH27dvadmyZXIl1+iiLRHlBcSWlpbUuXNnpdfqlYXPnz+Tm5sbWVpaanwUqSyUpKeSknnUvXTgwIEDxGazaeLEiXIHDYr0vejoaKpZsya1aNFCrevFxWKxypNrSkrmUfe62F9++YUA0K5du+R+VhE9hYWFkYGBAQ0fPlxj2dtlRVd9njaoDCiJ6NWrVzR48GB69eqVtkUpgFAopD59+pCpqSmFh4eX+TlFOvihQ4eIzWbTDz/8oJavv5ycHDp8+DANGTJE5vx69uxJO3fuVPmo0bNnz2jevHlUv359AkD29vY0a9Ysunfvnlra9vHjR2rQoAE1bNhQrpeDInqaM2cOAaDt27crImqpSJNrunbtKgv25Umu0VVbIiK6ceMGmZqaUr9+/dSaKCQUCsnDw4NMTU3p5s2baqtHGcqqpy+TeVgsFnXr1o22bdumtqBl27ZtBIDmzp0r13Py2lNsbCw1aNCAGjRooJaMaYZh6N69ezRz5kyyt7cnANSgQQOaN2+eypNrUlNTaefOndSzZ09isVhkaGhIQ4YMoSNHjqhlCp9hGBo/fjyx2ewCe4uWBXn1dPPmTTI1NaW+fftqJcGvNHTZ52mayoBSx8nMzCRXV1eqVq1amUc65DXYs2fPkoGBAfn4+Kj066+4k2tWrlxJ79+/V1k9xcEwDN24cYN++uknsrKyUmsyz+vXr8ne3p5atmxZ5pEOefW0YsUKAkArV65URtRCFHdyze7duyktLU2ldWkbaV8fMWKEWkY6xGIx+fj4kIGBAYWFham8fG2SlpZGu3fvJnd3d7lP5pEXRfq6PPaUnJxMLVq0IHt7e7lnFkqjqJNrJk2aRDdu3NDIVO379+9p5cqV1Lp1a7Um8+Tv62fPni3zc/Lo6dGjR7LkJE3MLFSiHJUBZTkgJSWFWrVqRXZ2dvT69esS783MEVHQuZtkYNeYgs7dpMyckrMVpaM2Hh4eKvv6U+bkGnWhiWSex48fU7Vq1ahTp06UmZlZ4r3y6knRUZviUPbkmvKMdDR+6tSpKn3BMwxDU6ZMUWjUprwh78k8iiDPaLw89pSZmUkdO3ak6tWrq8wnKXNyjTpRdzKPvKPx8ujp1atXZGdnR61bt9bY1laVKAeLiAiV6DxxcXHo3LkzJBIJrl69Cjs7O9m1l3EZEIS/xYXn8XibnIX8CmUBqF3NBN0da4DboTYa2ZjJrj169Ahdu3ZF8+bNERoaChMTE4Xle//+Pfbv3w8+n4+HDx/C0tISPj4+4HK56NSpE9hstsJlq5qMjAwcPXoUAoEAZ8+eBYfDQb9+/cDj8TBgwAAYGRkpXPbt27fRo0cPuLq64vjx4zAwMJBdU1RPQUFB8PHxwYQJE7BhwwawWCyF5Xv06BH4fD7279+Pd+/eoW7duuByueByuWjatKnC5ZY33r9/DxsbG+jr66u0XJFIhLi4ONSqVUul5eoyT58+hUAggEAgQExMDBwcHODn5wcul4sWLVooXC4RYdKkSdiyZQsCAwMxdOjQAtcVsSehUIhBgwbh+vXrOH/+PNq3b6+wfNnZ2Th58iQEAgGCg4MhkUjQq1cv8Hg8eHl5oUqVKgqXrWoYhsH169fB5/Nx4MABpKSkoFWrVuByufD19VWqv2ZlZaFPnz548uQJLl++jObNmxe4roieYmNj4ebmBg6HgytXrsDGxkZh+SrRHJUBZTnizZs3cHV1haWlJS5duoTPMMKcI49wJSoRHDYLEqZ4VUqvd25ohSWDWyA3Jc9gbW1tcfHiRVhYWMgtT2pqKg4dOgSBQICLFy/C0NAQAwcOBI/HQ9++fQsEU7rKp0+fEBgYCD6fjzt37sDc3BxDhgwBj8dD165dweFw5C7zwoUL8PDwwKBBg7B//358TBMqrKfI21cwcOBADBs2DHv37lUoMH/37h327dsHgUCAR48eoVq1agWCfWUC1EoqkUJEuH79OgQCAQIDA5GcnIwWLVqAx+PB19cXDg4OcpfJMAxGjhyJgwcP4uTJk+jduzfeJWcpZE8LBznh54nf4cSJEwgJCUH37t3llkcikeDSpUvg8/k4dOgQ0tPT0b59e3C5XPj4+MDW1lbuMjVNbm4uQkJCIBAIcPz4ceTm5qJbt27gcrkYMmQIqlatKneZqamp6N69O+Li4nD16lXUr19fYT390t0Bfp59kJqaiqtXr6JOnTpKtLYSTVIZUJYznj59ii5dusDObQiEzT0hZqhEQ/0SDpsFDgsQ3RTA4N0dXLlyBTVq1Cjz80KhEMHBwRAIBDh58iRyc3PRo0cPcLlceHt7KxSY6grPnz/Hvn37wOfz8fr1a9jb28tGWlq1aiVX4HXs2DEMGTIEvX70x2vLbxTSExuE5LNb0MkGOHz4sFyjaampqQgKCgKfz8fly5dhaGgIT09PcLlc9OnTp1wE+5WUX3Jzc3H69Gnw+XwcP34cQqEQXbt2BZfLxdChQ+UKWkQiEQYPHowLFy5gzvaT+DcyRyF7IokYiac3g79gAgYNGlTmZ4kIDx48kI3sf/z4EQ0aNJCN7Ddu3LjMZekaaWlpOHz4MAQCAc6fPw8DAwMMGDAAPB4PHh4eMDQ0LHNZ0lk0sViMX7YexZrLH+TXEwuQiEUQXt+LC9sXo0mTJoo0qxItURlQlkN+41/C/ieZABGgyOjS/58b62yD3wd/U+rtDMPgypUrEAgEOHjwIFJTU9GmTRtwuVyMGDECNWvWVKAVugsRITw8HHw+H4GBgUhMTISTkxN4PB78/PzK/MX8/eqDOJdgorCeiAgsFgtTu9fH9N6lT0fn5OQgODgYfD4fp06dglgsRo8ePcDj8TB48GCYm5vLLUMlwK5du9C/f3+5Prwq+Y/09HQcOXIEfD4f58+fh56eHgYMGAAul4v+/fuXKWjJzs5Gx+/nI7VOF4XlkNrTrN6NMal7o1Lvf/PmjewDMzIyElZWVhgxYgS4XC46dOhQ4Ub2P3z4gICAAPD5fNy/fx9Vq1bFsGHDwOPx4ObmVqbZkbdv38Lth0Vgt/ZUWA559VSJ7lAZUOoQf/31F3bu3InIyMhijTfg9lv8eviRyupc7t0CPu1rF3lt3rx5WLt2LSwsLPD+/XvUqVNH9lXu5OSkMhl0GZFIhLNnz4LP5+Po0aPIzs5G3bp1kZ2djcePH8PKyqrI5zSlJ4ZhsHLlSsydOxfGxsbIyMhA27ZtwePxMGLEiAJrbStRDC8vL9ja2mLLli3aFqXc8/HjRwQEBEAgEODu3bswMjKCoaEhjhw5gq5du2rd7x08eBAjR45E69atER4eDmNjY3h5eYHH46FXr14qX3Orq0RGRsrWxb558wZVq1YFm83GhQsX0LJly2Kf05SeQkNDMXToUERHR8Pa2lpl9VWiHJUBpY6Qnp6OevXqYeXKlRgzZkyBa8ePH8f8+fMRGRkJiaE5TFu4w8J1BFhs+df3fYmeOAupuyciKTERBw8ehIuLS4HkGhaLhY4dO2L58uU6l1yjaTIyMrB//35MmjQJYrEYenp6smSe7OxsnD59GuHh4YiKioJx7Rao4bdUZXUbsBjQoV8Q9eIZVqxYgT59+hRIrtHX10ebNm2we/furyq5Rp0QEVJTU+Hs7Ixff/0V33//vbZFqlDcvn0bXbt2hYmJCZKSkuDg4IDBgweDw+Hgzp07ePr0KUQiEeo3bIxPtXvAwLGzSuoliRifdk1GbuI7rFixAj/99FOB5BqRSIQ6depg4cKF8PLygpmZWemFVlAYhsHZs2fh6ekJDoeDrKwsWTLP8+fPcffuXcTExCAnJwc1a9VGsm07mLYfDLaBsdJ1f6mnWbNmFbjeunVr9OjRA6tXr1a6rkpUw9cbHegYO3fuhFgshq+vb4HfQ0JC4OXlhapVq6K1z3SYNHZB2vVAJJ9VzWhJwsW9SMv4DACYP38+ateujXnz5sHR0RHHjh3DjBkz8OHDB7i6un7VwSQAmJmZISsrC8bGxnj9+jVWrFiBDx8+YNiwYRgzZgwCAwNRpUoVGJiYQdVfaUm3jiM6JgYAsGrVKrRs2RLbt2/HgAEDcPXqVaxduxaPHz/+qrKL1Q2LxUJGRgbS0tLQqFHe1Fvl97fquHbtGvT19fHu3TtcvXoVAwYMwM6dO7FmzRo8ePAAHTt2xKxZs/DxM4PYI8uRekWgknozIk5AlJYAAAgMDIStrS2GDx+Ojx8/YsWKFVi2bBkSEhK++mASANhsNp4+fQpDQ0PExsbi6NGjaNy4Mf744w/s2LEDCQkJ6Nu3L5YuXQp2zWZIuX4Q8Qf8QcQoXXd+PRXFDz/8gK1btyIjI0PpuipRDV9dhLBp0ya4u7tj+PDhOHfuXIFriYmJqF+/vlbk2rVrFwYNGlRoy5pZs2ahZcuW2Lj3ED7Zu8HS/QeYdxyGzHuhECW9U6rO3IQYpN8NhqmzN4C8F+iOHTvw6dMnHDhwAIMGDYKvry/evHmDCxcuKFVXWbh48SJYLFax/6RZmVOmTEG7du1gaGiI1q1bq12u/Ej1VLduXUydOhW3b9/Gs2fPMGnSJDg4OODJuySQiaVKAw/J51SkXN2PKh2GAABsbGxw/PhxxMbGYtOmTXB1dcXQoUMhFApx8OBBldVbFnTVnpSFYfJeiNeuXYOdnR26dMlbu8disWTXyhO6qCepLRkbG8PV1RWbNm3CnTt3sH37dvTt2xdnz57Fn+u2wdBzPozqtETazSAwuTlK1Sn5nIrUawEwd8mzpdcfEzBt2jQ8f/4ct27dwtSpUzFmzBiN2VJ58nnm5ubw9PTEgQMHEBcXh507d8LR0REBAQGYs3wDhC7foWqXkRC+j0TuxxdK1fmlnhIzhYXuGTJkSKXP0zG+qoBy/fr1+Pnnn9GkSRMYGhqiX79+WLr0v2lJiUSCN2/eaFyu6OhoPHz4EO7u7gV+j4yMRGRkJMaPH4/AiI/gsPMWgZu16QeA8PnZNaXqTQn7ByaNO8KoVjMAgL+/P8aMGVMgU7tdu3aoVq0ajh07plRdZaFTp06IjY0t9G/r1q1gsViYOHGi7N7vvvsOPj4+apcpP8XpydHREWvXrsWrV6/w3ZJdKq835eJu6FerCbNm3QAAPB4PAwcOLJCpXaNGDbRs2VIjepKiq/akLEQkG42PjIwEESEmJgaHDh3Czp07MXHixELTb7qMLuqpJFv6/vvvERgYiLi4OAz+eRVYIBg36ghIRBCnflKqXqktmTbLC9Ta9h6KBQsWFMjU1qQtlVefZ2FhgTFjxiAsLAzv3r1Dzx/8AUYCjkXefpGM8LNS9X6pp7tvUgrdU+nzdA89bQugSbZu3Ypt27bBz88PADBhwgR4eXkhOzsbf/75p9bkun79OgCgbdu2BX6/d+8eAOCbb77Bz5fiZdsv6JlVB8fMCqK41wrX+fnZVQg/PIP92M0Qp8WVeG/btm1x7ZpywWtZMDAwKLSP29OnTzFr1izMmTMHw4YNA5Bn1ACQkJCAhw8fql0uKcXpSQqLxcLTNNV+owk/Psfnx+dhy1sOKuX7r127djh69KhK6y8JXbUnZZBmmAJAeHg4goOD8fjxY/j4+CA2NhaWlpZo37493r59i6ioKDRs2FDLEpeOLuqpNFsCAHNzc3xiVQdYWZB8zgso2CaK71SQ35ZYyNPxq4TMIu/VlC2Vd58nFothaGiIeJERst88QOqVvWAZGMPATvGtlIrSU5SW9SRFF21Jl/iqAsro6Gh06tRJ9t+dOnXC+fPn4e7uDpFIhGnTpmlFrmfPngEA6tWrV+D32NhYAIB5NWu8TS64loRTxRLizCSF6mNEQqSc3wGz9p7Qq2ojCyhzRJIi769fvz727t2rUF3KkJqaCk9PT3Tr1g0LFy7UeP1fUpyepGQKxXibnKWy+ogIyWe3wqRpZxjWbApxap6ecsVFT7nWr18fiYmJiI+P18gWN7pqT4qSP5g8e/YsNm7cCDabjQMHDqBx48Zo0aIFhEIhjIyM8PLlSyxfvhwODg6YN2+eliUvGV3UU2m2BPxnT5LsDGQ+OAPDWs2gV6WaQvUVZ0upWSJ8FophaljwVahpW5JS3nzenTt30LFjR9l/61WrhRpD/gDHWLG1p7quJ120JV3iqwooraysZMfNSWnevDnOnz+PHj164OPHj1qRKykpCXp6eoWO6srOzgYAxGdJCiV5sDgGYHIVC17SbwYBjAQWHYcX+P3+s9dwunu30P1CoRDZ2dm4du0ajI2Vz95r2LBhqXsiMgwDPz8/6OnpQSAQKLXnW0xMDJKTkxV+XsqzZ8/A4XDw4kXR64OiU0UqTcb5/CgMooQ3sB78W0E5Yt7jbhF6ki5Ov3z5skrX8TRu3LjIY+RUYU8Mw+D+/fsqk7U4WrVqBTabXWI/kl47duwYduzYgdjYWGzcuBHOzs6ye6TbxlhaWqJz586YN28ecnNzsWjRoiLLJCLZxtjqTuhp3bp1kYlzqtBTZmZmsf1eEUqzJSDPnhhikHhiJRhhJqr1+kHh+oqzJQIQei0C9aoW3A5I1bZUrVq1An//olClz0tPT0dUVJTCz0spTU+5ubmY99d6bL4ZD+GHp8iJuQ9GpPg615L0FJP0Gc3sCx6cYWlpCSBv7aImAkpdjSF0ha8qoHRzc8Phw4fRuXPB7SecnJxw7tw5hY7iUifS4O1zVnahayTJBUtP/tNOxKlxSA8/jGq9fyy0tcO69Ruw6s85xT7r5uYmd31FcebMGfTq1avEe+bMmYMbN27g1q1bSmda+vv7499//1WqjPy0a9euyN8N7BrDbpRqtrBghFlIubQH5h28oWdecJ+1ffv2Y+/WDcU+K50mUxVXrlwpUveqsCexWFzs31NVuLm54cqVK2W6V5rpm5OTg3///RdOTk6ykUsikh3FaWVlhW+//RaNGzfGoEGD0LJlSwwfPrxQeSwWC2KxuMSpXVUhFAqLPAFJFXq6f/9+oedVQUm6N7BrDAO7Rsh5HYHqA2bAwEaxwK4kWwIAP963yI0tOmBSlS2NHDmyVB+kSp9369atUn2sPJSmJ7tRq2HS2AWfn1xEwqFFsBu9Vm59laanomZmpB9pmtpkvrzFEJrmqwoof/31V0RERBR5rVmzZrhw4QIOHTqkYamA6tWrQywWIyMjo4AjkW5KnZZUeOsESWYKDBVYp5J6hQ+OWTUY1m4hm06Qrk8aM4qHQe5dYGtrW2CkY9GiRQgJCVHZOsrS1p0FBARg5cqVOHXqlGy7FmVYsGABpk6dqnQ5mzZtwo4dO3D58mWYmpoWuh6dKsLMs4lK1wMA6eGHAYkYJk07y/Qkzsgr23Ngf4zxHQpra+sCGy3v3LkTGzduRFhYmOzLXRUUd7ScKuxJT0+v2DJURbVqZZ8mtbe3xx9//IFGjRrJRqakLyvp/+7YsQOjR48Gh8OBi4sLBg0ahCtXrmD48OEFps2lcDgctbcRyPtbFoUq9NS6dWuVtqE0WwKA5es348Ce7ajabTSqNO+hcF0l2RKTk4m1K5ehbQN7tdpSaX1Q1T7P2dlZJfoqi57y+z0Tx07AydX4/PSy3AFlaXpKiH2HXFvTAh9NKSl5767iDphQNboaQ+gKX1VAOX36dPz000/FXrexscHu3bs1viZKel5pdHR0gVMIpNtDxL56Ahbqy6ZTxRlJkGQkQr91H7nrEqcnQJwSi49bxha6tm3dCmxbtwIpKSkFztrNyMhAs2bNNDLKcv/+fXz//fdYtmwZ+vSRv31FUbdu3VKnm8pC9+7dsWPHDlhYWBR5WoSjUIxZZ08rXQ+QpycmJxOx2ycWunZ43x4c3rcH9+7dK7CFyObNm2FlZYWePXuqRIbSUIU9sdlsjfQrefiy3yUnJ8sCApFIhODgYGzduhW3bt3C8+fP8fr1azRrlrdTQlEjJdpuoyr0VKVKFZW2oTRb2rhxIw7s2Q7zbzxh4TJUqbpKsqX0Gwcw8cYBrdqSOnyeubm5SvRVmp6APL838/9+j8QigBgwQvmXY5Wmpz4uhfUUHR0NKysrjZ2Wo6sxhK7wVQWUFy5cwKVLlzB37lwsWLCg0HVtpfxLFzXfuXOngNE2a9YMTZo0wZ6dO+DguxJvU/P24sq8FwyABVNH+aegq3YZCSY7vcBvuQlvkHaFj969e4PH4xX6Er179y64XK7cdclLYmIivLy80K1bN/B4PHz6VHCLEA6HA2tra0RFRSEzMxOfPn1Cdna2bA2ek5NTkVN+qqI4PQHAo0ePwOfzwXxuopK6zL4ZCJPGLgV+k2SlITn0b3Tr1g0TJkwotFA+IiKiwAJ5daOr9qRKwsPDcffuXYwcORJVqlSBvr4+Nm/eDFdXV3To0AGpqakwNjbW6N9dXnRRTyXZ0t69ezF58mTUqlULTNv+StdVki1Vbd4N88d6ac2WyqvPS01NRU5ODo4ePQo+nw9R81HQt7RH5oO8wNLQVv7dD0rSk803fbBl7o+VPk/H+aoCSiDvy3PWrFl4+PAh+Hx+scP4mqR+/fpo3rw5wsLC8N133xW4tmLFiryNtOl3fK7pDGF8DDLunkKVVr2hb+Ugu0+cGocPW76HafOesBowvdi6jByaFfqNY2iKNABhYWG4cOECgoKCwOVyMXDgQERGRiI5ORmenp4qa29xnDp1Cm/evMGbN2+KPIO6Tp06iImJwdixY3Hp0iXZ723atAGQ97WqipHI4vhST+/evcO+ffsgEAjw6NEjGBsbo0abHpBkpYMRCZF6LQAAYOTQHEa1m8vKebNsAAwdmsOWu6zYugxtGwJfOGXpHnwXL17E3bt3MWTIEPB4PHTt2hVJSUl4+PBhiV/P6kAX7UmVJCUlYefOnXBxcZH1sxo1aqBbt25gsVgYN24chEKhytYXqwtd09OXtiSRSHDp0iWsWbMGJ0+eBJA3hV8t6S7exT7H/3dMg2GtptCv+t82O4rb0v+X+0jEmDZtGnbs2AEejwdfX18YGhpqzJbKm8/Lzs7GiRMnsGLFCty5cwcsFgtNmzaFTewNvLj4HJ+f34CBbSOYNi+4llBZPbVs3hxeXl4FrsXHx1f6PB3jq9rYHAA8PT1x8+ZNPHnyBC4uLnj9WvG9HFXJd999hxMnTsgyu6UMGDAAhw8fhhGTjcQzW5D14gYsOg5Dtd4TCtzHiPKe41SRf72PdCp969atWLlyJT59+gQfHx/Y2Nhg9OjRqFGjBrp27apQu+Rh1KhRsqzYov7F/P/owYsXLxZ5XZ2OVYqvr69sUXadOnUwf/58ODk5YcSIEcjOzsab66fAZKVCkhaHtCt8pF3hI+fNA9nzTK5UT4psf5I3nfrzzz9j2rRpuHTpEnr27InatWuDy+VCX19f5Qk5paGr9qQq+vXrB0dHR4wePVq2jReQN/VtZmaG9u3by4JJXT6WURf1NGbMGBw7dgxTp05F7dq10bNnT4SHh8uux8TE4O6hLUg4sQpJJ/P+Cd8+ll1Xzpby+GFILxw/fhxNmzaFv78/6tSpAzc3N3A4HPTu3VvxxpWR8uDzRo8ejaNHj2LkyJGwsbGBj48PcnNz4ezsjNq1ayM6OhqRZ/YjN+k9LFxHwMZvKVic/9ajqkJPbesUfq8dPnwYhoaGRSbDqRNdtCVdgUW67AVVDJvNxqdPn1CjRg2kpaXB19cX4eHhCAwMhLu7O+Li4mBvbw+JpOj9GNVJWloa6tevj7/++gvff/99kfeM3BGO66+TZBuc5yfj7imkXNiFmj9uA8e07EElh81Cp/rVsff7DgV+f/nyJfbs2YNly5ZBIpHAzs4Ovr6+4PF4aN26tcay6nSBnJwcBAcHg8/n4+TJkxCJRGjatClmz56NwYMHF9oCqSQ9Zb+6jfiDf8Luuw0wqFG3zDIUpSciQnh4OPh8PrZs2QKJRAInJyfweDz4+fmhTp06Cre5LOiyPamaAQMGIDU1FXXr1gURYf/+/QgMDNR4AK8IuqanN2/eYN++fdizZw+eP3+OKlWqYPTo0eByuejQoUMh31KcPSlqS0DR9pSeno4jR45g0qRJyMzMhIGBAQYMGAAul4v+/fvD0NBQ4TaXN4gI9+7dg0AggEAgQFxcHGrUqIEJEyaAy+UWmTikKT1JadOmDbp164Y1a9bIVaYy6Jot6Rpf3QilFAsLC5w6dQrjxo1Dv379NNopi5Pnl19+wYoVK4o9K3jJ4BbQYxcdyOW8eQizbwbKFUwCgB6bhSWDWxT6vVGjRqhVqxbs7e1x+fJlDB06FHv37kXbtm3RrFkzLF68GNHR0XLVVZ5gGAYXL17EuHHjYGtriyFDhuDNmzdYvnw55syZA4ZhMHLkyCL30yxZT49g4tRFbsdalJ5YLBZcXFwwYMAAGBkZQSAQoFWrVli4cCHq1q2LLl26YOvWrSrZg7M0dM2eVM3JkycxdOhQ6OvrIz4+Hvv27SsXweSXaEtPycnJ2Lp1Kzp37oy6deti4cKFaNeuHUaPHg17e3usW7cOLi4uRX6o/mdPBQMVRW0JKNqezM3NYWNjI9s3dOnSpYiJicGQIUNga2uLcePG4eLFi+XyLPeyEh0djcWLF6NZs2Zo164d9u7di+HDh+Onn36CpaUl5s2bV2wWukxPpF49AUBoaChevnyJ3377rYinNENF93mK8FWNUHI4HMTGxhbaADUgIABjx45F9+7dERwcrNNfF3uvv8IfJ56prLylg5vD17lsI1kikQhhYWHg8/k4evQosrKy4OrqCh6Ph2HDhqF69eoqk0tbSJNr9u3bh/fv36Nu3brgcrngcrlo2rRpmcvZfOYBll94rzK5lnu3gE/72mW6NyMjA0ePHoVAIMDZs2fB4XDQr18/8Hg8WfCpCiqCPSlCdna2Sjb41xTa0lN2djZOnjwJgUAgK79Xr17g8Xjw8vIqcrP84vjhrz04naK6rWHksaenT5/KRupiYmLg4OAgm61p0aJwsFPeSEpKwsGDB8Hn83Ht2jWYmJhg8ODB4HK5cHd3L7CdUkkwDIO+Py3Ei6rfqEw2efSkCb5Wn1dWvqqAMv9w9Zfcv38fXl5eePfunc52BrFYjKFDh+JqsimquPopXV7qpX8xpoM9Vq9eLfcUdmZmZoGghc1mw8PDQ5bMU55euF8m11SrVg0+Pj7gcrno1KmT3H+bhIQEdOnSBdn1ugCtBiktX+qlf7Fpkqfs/Fh5+PTpEwIDA8Hn83Hnzh2Ym5sXSOaRbtStCOXdnhSlqL0mdRlN6kmaXMPn83Ho0CGkp6ejffv24HK58PHxKXRudVkQCATg8XjwmLUOkXoNlJZRPzIEN3bMl3vvQiLC9evXIRAIEBgYiOTkZLRo0UKWzOPg4FB6ITqCNLmGz+cjNDQUDMPIgn1PT0+5gn0g728zffp0rF+/HmNXH8SZOOU/Wu0SbuPKlt+L3V9VG3ytPq+sfFUB5aVLl+Dq6lpsB01KSsKpU6fw7bffaliy0mEYBqNHj8b+/ftx7NgxpFs3h//xJxAzVORaveLgsFnQY7Pw56BmSL5zChMnTsSCBQuU2jcrLi4OgYGBEAgEslMehgwZAi6Xi+7duysVtKiL1NRUBAUFgc/n4/LlyzA0NISnpye4XC769Omj8FYc6enp6NGjB96/f48rV64gItVQKT3NH+iEM5vnY+/evTh69CgGDBigkFwA8Pz5c+zbtw98Ph+vX7+Gvb09/Pz8wOVy0apVK7mDpPJsT9KgUCwWg8PhKB0gEhHEYjH09fV1LuBUt56kU8R8Ph/79+/Hx48f0aBBA9nIfnEb45eFEydOYPDgwfj222+xY8cOBN55p5Q9/eRijcXf9YeDgwPOnz9f6hGwxZGbm4vTp0+Dz+fj+PHjEAqF6Nq1K7hcLoYOHVpgH19dQSKR4MKFCxAIBDh06BAyMjLg7OwMHo+H4cOHw8bGRuGyFyxYgPnz52Pz5s348ccfEXD7rVJ6GlqPwV8/eMHPzw+7du0q8khRbVCefZ4m+KoCyvIKEWHq1Kn4+++/sX//fvj4+AAA3iVnYc6RR7gSlQgOm1Wi4Uqvd25ohSWDW8ChmgkAYMmSJZg7dy7WrVuHKVOmKC3ry5cvZdNDUVFROpXMkz+55tSpUxCLxejRowd4PF6RyTXykp2djb59++Lhw4e4ePEiWrVqBUB5PYnFYvj4+CA4OBihoaFKZ9znT+YJDAxEYmKiRpN5tM3bt2/h4eGBgQMHYt68eTAxMVFJuVlZWViwYAFOnjyJ0NDQcjVipQjS5Bo+n4/IyEhYWVlhxIgRxSbXyMvFixfRt29f9O/fH4GBgbKXuLL29ODBA3Tt2hWtW7dGSEiI0rMp0mQePp+P8+fPQ09PT2eSefIn1+zfvx+xsbFo2LChLNhXxak869atw7Rp07BkyZICaxqV1VNAQAD8/PwwefJkrF27Vqc+0iopmsqAEnlGxzAM2Gy2TnZaf39//Pnnn9i6dSvGjx9f6PrLuAwIwt/iwot4vE3KKrB0nQWgdnUTdG9cAzyX2mhYo+AZsUSEX375BStXrsSePXtU9mVFRLh16xYEAgECAgKQkJCApk2bgsvlws/Pr9AGteqCYRhcvnwZAoEABw8eRFpaGtq2bQsej4cRI0YUufebIohEIgwePBgXLlzA2bNn0alTp0L3KKMnoVCIAQMGIDw8HOfPn8c336hmnZJIJMLZs2dl62Kzs7PRuXNncLlcDBs2TK5jCwHdt6X4+Hh07twZIpEIV69ehb29vUrL//DhA9zc3GBoaIjLly8XOTWmCyiqp+TkZNl6u6tXr8LY2Fi23q5Xr15lXm9XGnfu3EH37t3RsWNHnDhxosigTBl7unbtGnr16oWePXvi8OHDKpP748ePCAgIgEAgwN27d1G1alUMHToUXC4XXbp00dhIW3R0tGwZz9OnT2FtbY0RI0aAx+Ohffv2KrPNPXv2YPTo0fj555+xfPnyIstVRk9bt27Fjz/+CH9/f8yfP18lMqsaXfd5GoUqoaSkJNq3bx8lJSVpW5RCrFmzhgDQsmXLynR/Zo6Igs7dJAO7xhR07iZl5ohKfYZhGBo7dixxOBw6evSosiIXIjc3l4KDg4nL5ZKJiQkBIFdXV9q8eTMlJiaqvD4ioocPH9Ivv/xCtWrVIgBUt25dmjt3LkVGRqq8LolEQn5+fqSvr0+hoaFlekYRPWVkZJCLiwtVr15dLe1IT0+nf//9l/r06UNsNpv09fXJ09OTDh48SNnZ2WUqQ5dtKTU1ldq0aUO2trYUFRWltnqioqLI1taW2rRpQ6mpqWqrRxnk0VNWVhYdOHCAPD09SV9fn9hsNvXp04f27t1LGRkZKpftyZMnVL16dXJxcSlz+YrYU2hoKOnr65Ofnx9JJBJlxS5EZGQkzZ07l+rWrUsAyMHBgX755Rd6+PChyusiIkpMTKTNmzeTq6srASATExPicrkUHBxMubm5Kq/vyJEjxOFwaNy4ccQwTJmeUURPS5cuJQC0du1aZUVWC7rs8zRNZUBJRBEREQSAIiIitC1KAXbt2kUAaPbs2XI9p0h7xGIxDRs2jAwMDOjcuXPyilpmMjIyiM/nU9++fYnD4ZC+vj4NGjSIAgMDKSsrS6my3759S8uWLaMWLVoQAKpevTpNmDCBrl27VmaHJy8Mw9CECROIzWbTwYMH5XpWET0lJSVR8+bNqWbNmhQTEyOvuGUmNjaW1q5dS+3btycAZG5uTmPGjKFz586RWCwu9jldtaXPnz+Tm5sbWVpa0qNHj9Re38OHD8nS0pI6d+5Mnz9/Vnt98lKansRiMZ07d47GjBlD5ubmBIDat29P69ato0+fPqlNrujoaKpZsya1aNGCkpOT5XpWkb534MABYrPZNHHiRLX6iKtXr9KECROoWrVqBIBatGhBy5cvp7dv3ypVdlZWFgUGBtLAgQNJX1+fOBwOeXh4EJ/PV0uwLyUsLIwMDAxo+PDhJfqDolBET7/88gsBoN27d8srqtrRVZ+nDSoDStLNDnH48GFis9n0ww8/yO3oFG2PUCikPn36kKmpKYWHh8v1rCJ8+vSJ1q1bR87OzgSAzMzMaPTo0XT27NkyO6mUlBTatm0bde3alVgsFhkZGZGPjw8dP36chEKhmltANGfOHAJA27dvl/tZRfX08eNHatCgATVs2FCtL3cpz58/p3nz5lH9+vUJANnb29OsWbPo3r17hfqmLtqSUCgkDw8PMjU1pZs3b2qs3hs3bpCpqSn169dPI31RHorSE8MwdO/ePZo5cybZ29sTAGrQoAHNmzePnj9/rnaZYmNjqWHDhtSgQQOKjY2V+3lF+962bdsIAM2dO1fuOuVFKBTS8ePHycfHh4yMjIjFYlG3bt1o27ZtlJKSUqYyxGIxnT17lkaPHk1mZmYEgJydnWn9+vUUFxen3gYQ0c2bN8nU1JT69u2rUL9WRE8Mw9D48eOJw+HQkSNH5K5Tneiiz9MWlQEl6V6HOHv2LBkYGJCPj4/cX39EyrUnMzOTXF1dqVq1ahoZyZHy4sUL8vf3p4YNGxIAsrOzoxkzZtDdu3cLBS3Z2dl06NAhGjx4MBkYGBCbzSZ3d3favXs3paWlaUzmFStWEABauXKlQs8ro6fXr1+Tvb09tWrVqswvImVhGIZu3LhBP/30E1lZWREAcnJyoiVLlshGS3XNlsRiMfn4+JCBgQGFhYVpvH6pLY8YMUIhW1YX+fUUExNDS5YsIScnJwJAVlZWNGnSJLpx44baRu2+JDk5mVq2bEn29vYUHR2tUBnK9D1lbVkR0tLSaPfu3eTu7k5sNpsMDAzI29ubDh06RDk5OQXuZRiGIiIiaMaMGWRnZ0cAqGHDhuTv708vXrzQmMyPHj0iS0tLcnV1VXjkXVE9aduWi0PXfJ42qQwoSbc6BMMwNGrUKPLw8FB4VEPZ9qSkpFCrVq3Izs6OXr16pVAZisIwDN28eZMmT55M1tbWBICaNm1KCxcupH379tHYsWPJwsKCAFDbtm1p9erV9PHjR43KSKSaUQ1l9fT48WOqVq0a9e3bV+PBSm5uLp06dYp8fX3J2NiYAFDnzp1lI7a6Ykvjx48nNptNhw8f1pochw4dUni2QV2cP3+eAFDr1q0JABkbG5Ofnx+dOnVKLevtSoJhGAoLCyNbW1t68uSJwuUoa0/KzDYoy4cPH2jVqlXUtm1bAkBVq1alsWPH0r59++jPP/+kpk2bEgCytramyZMnU3h4uMb70qtXr8jOzo5at26t1EesMnrKP9vw7t07hWVQJboUP2ibyoCSdKtDSCQSYhhGqSkyVbTn06dP5OfnRwEBAWpZsF4WcnNzaePGjeTk5EQsFosAkKGhIfXt25euX7+uFZmI8pJX5s6dS3/88YdSTl0Verp37x49e/ZMq6NfXybzAKCuXbvSgQMHlF4XqwwxMTE0fvx42rdvn9ZkkCIQCGj8+PFqXfdaGvmTa/T09AgAdezYUW3JNfIgkUiUTmBS1p4YhqHff/+d5s6dS+np6UrJogzXr1+nvn37kqGhIQEgFotFTk5OtHHjRo0H+1IkEgnt37+fuFyu0stslNXT58+f5V6vrk50KX7QNpUBJVW8DqHK9mjDgRWVXDN27FiaN2+eWpJ55EUikagkyFaVnsoiy86dOzWyvur06dMEgJo1ayZXMo86EIvFOjMiSJQXsGjjbxAWFlYouWbWrFkVyucRqc6exGKxxj+i8yfX6OnpEYfDob59+9K8efNo7NixKk/mUQSRqPSM7LKgCj2Vxa415fMqWvygDLqx/fxXRHk7kklV+7OVRmpqKrZv345u3bqhTp06mD9/PpycnHD8+HF8/PgR27Ztw4IFCxASEoIPHz5g1apV+PTpE3x8fGBjY4MxY8YgLCxM7r8vwzByy8pms3Xm5AYAZZLl2LFjSp2GVFakx9n9+++/eP78OaZNm4bLly+jZ8+eqF27Nn7++Wfcv38fJOf2t4roSRUn4KgSFoulkVOjiAj379/HrFmzULt2bbi7u+Py5cuYNm0anj9/jlu3bsHX11ftckgpbz6Pw+FoxL4lEgnCwsIwZswY2NjYwMfHB/Hx8Vi9ejU+fvyIkJAQLFiwANu2bUNsbCyOHz8OJycn+Pv7o06dOujevTu2b9+O1NRUuetWxJ506QjEsti1pnxeJf+hO2/FCs6ePXsA5Dmr8uZgy0pubq5c9+fk5ODw4cPw9vaGjY0NfvjhBxgYGGDXrl2Ii4tDQEAABg4cWOgYRBsbG0yePBnh4eF48eIFZsyYgatXr6JXr15wcHDAzJkzce/evTIFLZs2bYKvry/i4+Plkr28QERISUnBkydP0L59e43W3bhxYyxYsAAvX77EjRs34O3tjd27d6NNmzZo3rw5li5dijdv3pSprIqup6KQ157evHmDpUuXonnz5mjTpg327NkDb29v3LhxAy9fvsSCBQuUOgZRXip9XmGICHfv3sXMmTPh4OCAXr164erVq5g5cyZevHiBmzdvYvLkyYU2xDcwMMDAgQMREBCAuLg47Nq1C3p6evjhhx9gY2ODIUOG4PDhwxAKhWWSoyLbkzZ93lePNodHdQV1D1mPHDmSWCwWjR49WrY2Up1TX5ocgheJRLR9+3bq3LkzDRgwgBYsWFDqNEN4eLjKk2uKS+bZsGFDic/Fx8eTiYmJbE2mJrd30ZSe3rx5Q9bW1nTp0iUiKtt0kaKU1qbiknnOnDlTYrna1JMmkdeecnNzacuWLeTm5iZXck1F83lEmrMnRXxeSkoKLVq0SOXJNcUl86SmppZYbkX3e7rk874mKkco1czff/+Ne/fuYcqUKYiMjISfnx/S09PL/Vf7pUuXEBERgb59+2L9+vXo1asXevXqhZUrV+K3335DYmJikc+JxWKEhYUhLCwMkyZNQmRkJCIiIjB9+nSljkFksVjo0KED1q9fjw8fPiA4OBht27ZFQkJCiX9nIyMjtGrVCtevXweQNxLw/v17dO3aFRs2bCjzF78uIp3WunbtGuzs7NClSxcAeX8r0tKJq/r6+ujXrx/27duHuLg4/PvvvzAxMUFOTg7EYnGxz1VkPQGK2xOHw8GiRYtgamqKvXv3Ij4+HgKBAP369dPYcpUvqfR5hcnMzMTSpUvRtm1bBAcH48OHD1i/fj2cnZ2VWpZhb2+PGTNmICIiApGRkfjpp5/w9OlTWFhYlFhuRbUnXfR5XxO6syiigpKSkoJevXrhl19+wZkzZ7B582b4+vpi586dsLGxkZ0BqssQUQHnJBAIMGXKFEyaNAnNmjXDxIkT4ejoCACwtLTExo0b8fDhQ/To0aNQWXp6epg5cyZ+++03ta1v09fXh4eHBzw8PMAwTLH1SCQSmJmZoVmzZrJpp127dmHZsmWwtrZGy5Ytcf36dRw6dAhWVlbw9fWVtVPXISJZv4qMjAQRISYmBhEREUhLS8OtW7dgbGyMNWvWaE1GMzMzjBw5EiNHjizUx/JT0fSkSntisViIjIyEmZlZoWvaotLnFaZWrVqIj4+HiYmJ2mRu2rQpFi1aBMpLtv1q7ElKefB5FR3dtupyzK5du3D79m3MnTsXP/74I2xtbeHr64spU6YgIyMDvr6+iI6OlhnAp0+ftCxx0SQkJMgck3R0ISAgAKNHj8akSZMwf/58ODo6yq41bNgQUVFRaNCgQbFlGhoaaixZgs1mF1uXNEFi4MCB+PTpE7p06YLFixeDy+Xi3LlzcHV1xZUrVyAUChEREQFnZ2f4+fkhLi5OI7IrSv6XSXh4OIKDg/H48WP4+Phg+vTpWLduHXJycpCRkYG0tDQtS5tHSf2hIulJ1fbEYrF0Jpis9HnF+zwAag0m88Nisb4ae5JSHn1ehUQb8+y6hirXQDAMQ2lpaWRpaUmbN2+W/Z5/G4pDhw6Ru7s7derUiZ48eUJBQUFUo0YN+vDhg9L1E6muPStWrCBbW1vy9/eX7VOXmJhIzs7OtHHjxgL3SteobN++nb755huNnd6iKFJ5s7Oz6cCBA8RisahVq1Z06dKlQluGZGZmElHeEYStW7emtWvXFihDUdSx9ia/TGfOnCFPT0/65ptv6ODBg/TgwQNiGEZ2CkdycjLNnj2b/vnnH5XVr+o26YKeVIUu2VNF83lEqmmTLulIHeiCPanLRxBVDJ9Xnqmc8lYxRARzc3P06tULMTExst/YbLbsK8rb2xtGRkbYunUrPDw8EBsbC39/f9jb22tX+C+YOHEi6tWrh7lz5+L8+fM4evQoUlNT8eTJEwwePBjAf1+G0q/Dbdu2wdPTE1WrVi1x2kWbSCQScDgcpKenY/LkyXj+/DkAoFevXujSpYtsHY5UflNTUwB5WcuOjo64ePEivvvuO50ZGcqP9O997Ngx7NixA7Gxsdi4cSOcnZ1l90jX1sXGxkIoFGLp0qVISkrCr7/+qhWZi6Oi6ami2lOlz9N9HQEVz56kVCSfV96pnPJWMdLO3aBBAxw9ehSZmZmy3/IvDO7Xrx9cXV3x7t07LFu2DHPnztWazMVhYmKCIUOG4PTp05BIJOjVqxemTJkCDw8PmbPJ7zyPHTuGmJgYjB07ttA1XYLD4eDZs2fo0qUL7ty5g40bN2LMmDGIjo6GSCSSTclJ5Zc62rdv30JPTw9EpHNONT8fP37EihUr8PHjR+zZswfOzs4FFqSz2WwwDAMnJyeMHTsW9erVw/Lly3H//n3tCV0EFU1PFdWeKn2e7usIqHj2lJ+K4vPKPZocDtVVVDFk/fr1a4qMjJRNk4SFhVGbNm0oKSlJdo90SkEsFtOjR4+oWrVqNH36dOWELwJVDsFLZU5NTaWVK1cSi8UiLy8vIiq4DYhQKCRXV1fy9/eX/ZaSkkLx8fFKy6BKJBIJzZ49m+rVq0f9+/eXHSMWFhZGZmZmxR659uDBA3J3dycXFxcKDg6WlaUM6pwqCQ0NlZ3DXpycr169oh9//JFcXV1p4cKFKqlXlaf/6IqeVImu2FNF83lEqj95Sts6UiW6ZE/q8nvl3edVBCpHKFXAhw8f4OHhgTZt2qBLly5wc3PD9u3bcf/+fWzatAlv3rxBbGys7AuQw+EgNTUV48aNw+rVq7UsfclIp60sLCwwefJk+Pv74/3798jOzgaHw5F9Bd66dQtisRgDBw7E0aNH0blzZ9SqVQsHDx7UcgsKU716dcyZMwdBQUGwsbEBANjZ2cHGxgaXLl2S3UdEiIqKwvjx49G9e3fUqFED//zzDzw8PACU7YQabdGnTx/Ur1+/wMhDfiIjI7Fw4ULcv38fw4YNw++//w5AsRM01EVF1FNFsadKn6f7OvqSimhP+akIPq/co7VQVodQxRfGo0eP6MGDB3TkyBGaNm0a/fbbb8RisYjFYlGDBg2oatWq1L17d/Ly8qIJEyZQcnKyCltQEEXbI124XBKHDh0iJycnCgwMJKL/zkv28/MjFotFRkZGZGVlRTNmzKCYmBiF5Nc00q/Z5s2b06JFi4iI6Pz58zRq1ChycHCggQMHyjbILQl5F6tr8ss2NTVV9v/v3LlDvr6+1KlTJ9q6davsd106n7woVKUnTZGWllbqZt7asqeK5vOIFGsTwzCUmZlZYt+viD6PSHl7kkgkCvkMTfm9iuDzyhuVSTkqolmzZmCxWGjZsiW8vLwA5B2F1qxZM3h6euL169d49eoVrl+/Dj09PVhaWmpX4P/DMAwuX74MgUCAgwcP4vTp0/jmm28KnTlM/1+o3bp1azRp0gQnTpzA8OHDweFwkJubCzMzM8yePRs+Pj5o3bq1dhqjINKv2bFjxyIkJAR//fUXfv31V3Tr1g0nTpxAq1atZPcWt4eeUCiEm5sbvLy84Ofnh3r16mlM/pIgIjx8+BA8Hg/Hjh1DfHw8Vq5cibi4OEycOBFcLhdA8e3SJZTVE8MwePToESZPngwul4thw4ahWrVqKpUxOTkZBw8eBJ/PR3Z2Nu7cuVPkfRXBnsqrzwOA6Oho7Nu3DwKBAN27d8eGDRsK3VMRdFQSytoTm83GhAkTIBaLweVy0aVLF53wIRXJ55U7tBrO6gjqWHNIRDRz5kxq27YtZWdnK12uPJSlPQ8ePKBffvmFatWqRQCoXr169Pvvv1NsbGyJZTMMQ3PmzCFra+tSjxsrr9y9e5d69+5NHA6HXFxcaNWqVZSQkFDs/QzD0IcPH4jL5ZKJiQkBIFdXV9q8eTMlJiYW+5wmv2wHDBhA1apVI3d3d+rRowcdPnxYdk2Vaww12SZF9HT79m3q06cPsdls0tfXJ09PTzpw4ABlZWUpLEdWVhYdOHCAPD09SV9fn9hsNvXt25f27t1b6t9WW/ZU0XweUeltSkxMpE2bNpGrqysBIBMTE+JyuRQWFlbi7MLX4POI5LcniURCf/75J9WtW5cAkIODA/3yyy/08OHDEuvRlI+oiD5P16kMKEl9+2KFhIRQo0aNZC8rdZ9lK6W49rx9+5aWLVtGLVq0IABUvXp1mjBhAl27dq1M07XSe+7evUsXLlwo8FtFJD09nZYvX06Ojo7EYrHKtIg7IyOD+Hw+eXh4EIfDIX19fRo4cCAFBgYWClo07Yi8vb2JxWLR3r17Zb+pOmFFG85VET3FxsbS2rVrqX379gSAzM3NacyYMXTu3Lky2alYLKawsDAaM2YMmZubEwBq3749rVu3TpbwUBratKeK5vOIim5TVlYWBQYG0sCBA0lPT484HA55eHgQn8+XJROVxNfm84jktyeGYejatWs0YcIEql69OgGgFi1a0LJly+jt27eF7tekj6ioPk9XqQwoSX0dIiUlhWxtbSk0NFSl5ZZG/vYkJyfTP//8Q127diUAZGRkRD4+PnT8+HESCoUalas8Ex0dTY8fPyaisjukT58+0fr168nZ2ZkAkJmZGY0ePZrOnj1LYrFYK46oS5cu1Lp1a4qLi1PLi1HbzlURPT1//pzmzZtHDRo0IABkb29PM2fOpHv37hX4GzEMQ3fv3qWZM2eSvb09AaAGDRrQvHnz6Pnz52ppj7qoaD6P6L823bp1i86ePUujRo0iMzMzAkAdOnSg9evXV+gRRnUgrz0JhUI6fvw4+fj4kJGREbFYLOratStt27ZNtvG7pn1ERfd5ukRlQEnqO7FEKBRSnTp1aP369Sortyxcv36dAFD37t3JwMCA2Gw29erVi3bv3k1paWkalYVIs6MUZSE3N1fjdb548YL8/f2pYcOGBIDs7OyIy+USALpz545GZWnRogXdu3ev0O8SiUSnTsEQiURKlyEPDMPQjRs3aNKkSWRlZUUAyMnJiX7++WeaNWsWOTk5EQCytramSZMm0c2bNzU+WqWqv4kq9PRl27Xp8xiGIT6fTwBkumvYsCHNnz+fXrx4oVFZiLTjY0pCGz44LS2Ndu/eTe7u7sRms8nAwIC8vb1pxYoVGg/AivN5RLp38k95pjKgJOU7hHS9UFEdc9WqVRrJ/JNIJHThwgUaO3YsValShQBQ06ZNafXq1fTx40e1118c2dnZtGTJEpo0aZLGA4QvefHiBY0YMYKCg4O1Nm3FMAyFh4fT5MmTqWrVqgSA6tatS4sWLaLXr19rTIb8/0uU13+ys7Np//79SpWtCucaGhpKo0aNokePHmlNT58+faKffvqJrK2tCUCBQLKsU9qqhmEYevjwIX377bd05swZpcpShZ4yMzOLDJw05fOI8vbCXLRoETVt2lSmpxEjRlB4eLhWbfzUqVM0YsQIrQSz+RGJRDRp0iRaunRpmXbxUBcfP36k1atXU9u2bWV68vLyogsXLmhkn9iifJ6UoKCgYvfhLAuVAeV/VAaUpFyHyM7Opu7du9MPP/xQZGdVt1MrKrnm+++/16kOfuLECdLT06PRo0drbZPpd+/eUe3atalJkyYlLjTXJOHh4QSAPDw85ErmURc7d+4kALRp0yaFy1DWuV6+fJmMjY3J09NT4x8gxSXXbNu2jbZt26byZB5FyM3NpUGDBpGxsTFduXJF4XKU1dPff/9N9evXL7A1ixR1+7zikms2bNigM34vPj6emjRpQnXq1KF3795pRQaJREKjRo0iPT09OnnypFZkKIqgoCDZLI08yTzqIDY2lszNzalHjx4KJ5JVBpT/URlQkuIdQiQSkaenJxkZGdHly5fVJF1hikqumThxoiy5Rhc7uEAgIBaLRdOmTdP4yIEuOPeiyK8neZJ51AXDMDRt2jRisVgkEAgUKkOZvnf37l2lnbu8yJtc8+nTJ1q3bp3CyTyqQPoRa2FhUew0Xmkooyfp1PL06dM1ZsvFJdcIBALKzMwkIt17sb99+5Zq165NTZs21fhHLMMwNHXqVGKxWLRv3z6N1l0aUj3duXNHrmQedXHp0iUyMjIiLy8vhT5ida3faZPKgJIU6xASiYS+/fZb0tPTo1OnTqlRujyKS645ceJEoeQaXe3gmzZtIgC0YMECjdWZlpZG7dq1IxsbG61PP31JcXqKi4srMZlHnUgkEho9erTCoxqK9r1nz56RtbU1OTs7KzX9VBaKS67x9/eXK7mmrMk86iA9PZ3at29P1tbWCiUEKaqnEydOEIfDoTFjxqi9jWKxWK7kGl30ey9evKAaNWpQu3btNLp+ff78+QSANm/erLE6y0pReipLMo86OXXqFOnp6dGoUaPknkXTxX6nLSoDSpK/QzAMQ1OmTCEWi0UBAQFqkys7O5uCgoJo8ODBciXX6HIHX7x4MQGgdevWqb2urKws6tKlC1WtWpXu37+v9vrkpSx6KiqZZ8aMGRQREaG2F7pIJCJvb28yMjKiixcvyvWsIn3vzZs35ODgQM2aNVPrVH90dDQtXrxY5ck1xSXzLFmyRK1rCRMTE8nJyYkcHBzkHtFRRE8XL14kIyMj8vb2VttyBOkMy4wZM2RTomVNrtFVv3f//n2ysLCgrl27amS2Ye3atQSAlixZova6FKE0PRWVzDN48GA6dOiQWmcu9u/fTywWi6ZOnSqXP9DVfqcNKgNKkr9D+Pv7E4ACRzipCmlyzffff08WFhYEgNq1aydXck1SUhIJBAJKSkpSuXzKwjAMzZo1iwDQnj171FZPbm4u9e/fn0xMTOjatWtqq0cZ5NFT/mQeaaJI06ZN1ZbMk5OTQ+7u7mRmZiZXFrq8thQXF0eNGzemevXq0YcPHxQVt1iSkpJoy5Yt5ObmJltv5+fnR6dOnVJLJm5ubi6dOnWK/Pz8yNjYmACQm5sbbdmyRS32+P79e6pbty45OjrKtSWOvHq6ffs2mZmZUa9evdSS3CFNrmnSpIks2J8yZYpcyTW67PeuXr1KxsbGNGDAALVmgO/evZsA0M8//6yz+2XKo6cvk3ksLCxo7Nixakvm2bJlCwGg+fPnl/mZyoDyP776gDIzR0RB526SgV1jCjp3kzJzSv7yln79LVu2TKVyFHdyzdOnT+Uui2EYEolEOutQGIahsWPHEofDoaNHj6q8fIlEQn5+fqSvr6+V/fDKiqJ6ys3NpeDgYLlP5pGXjIwMcnFxISsrqzL1Q3ltKTU1ldq0aUO2trYUFRWlKrFLPLmmLJtZq4qMjAzau3ev2pN5oqKiyNbWltq0aVNkksyXyKunyMhIql69Orm4uKj071dcck1ISIhCI6C67vdCQ0NJX1+f/Pz81BIMHTlyhDgcDo0bN05n/wZEiuspMjKS5s6dK/fJPPKydOlSAkBr164t9V55bamiwyIiwlfGy7gMCMLf4sLzeLxNzkL+PwALQO1qJujuWAPcDrXRyMZMdm337t0YM2YMZs+ejWXLliktx7t372TnyT569AjVq1eHj48PuFwuOnbsCBaLpXQduopEIgGXy0Vqaio2bdqE+vXrq6RcIkJQUBB+//13LF68GEOHDlVJubpKZmYmjh07BoFAgDNnzoDNZqNv377g8XgYOHAgjI2NlSo/OTkZXbt2RWpqKq5evYo6deoUuK6oLWVlZaFPnz548uQJLl++jObNmyslp0QiwcWLFyEQCHDo0CGkp6ejffv24PF48PHxgY2NjVLlK0tcXBwCAwPB5/Nx+/ZtmJubY8iQIeDxeOjatSs4HI5S5T969Ahdu3ZF8+bNERoaChMTkwLXFdVTTEwM3NzcUK1aNVy6dEnp87izs7Nx4sQJ8Pl8hISEgIjQu3dv8Hg8eHp6wtTUVKnydZ2DBw/i999/x6JFizB06FCV+fhXr17hp59+gqWlJfh8vtL9SZchIty4cQN8Ph8HDhxAUlISWrRoAS6XCz8/Pzg4OChdx+zZs/HXX39h9+7dGDVqVIFritrS18BXFVC+S87CnCOPcCUqERw2CxKm+KZLr3duaIUlg1vgzqXTGDp0KMaNG4fNmzcr7AhSUlIQFBQEgUCAS5cuwcjICJ6enuDxeOjduzcMDAwUbV65g4jAYrEgEonA4XDAZrOVLlMikQBAhXaoxREfH4/AwEAIBAKEh4fDzMwMQ4YMAZfLRffu3RX+m8TGxqJz585gsVi4evUqbGxslLIlmyp68PLywuXLl3Hu3Dl06NBBIbmICPfv34dAIMD+/fvx8eNHNGjQADweD35+fmjcuLFC5aqbFy9eQCAQQCAQ4NWrV7C3t4evry94PB5atWqlsG+5efMm3N3d0bVrVxw5cgQGBgZK6Uk/Nx2dO3cGEeHq1auwtbVVSC6JRIILFy6Az+fj8OHDyMjIQIcOHcDlcuHj44MaNWooVG55RpV+ioggkUigp6cn86lfC7m5uTh9+jQEAgGOHTsGoVCILl26gMfjYejQoahatapC5RIRfvzxR+zYsQNBQUHw8vJSypYcqpkUe29F4qsJKANuv4X/8ScQM1RiR/gSDpsFNggJoZvQt5EZBAKB3E4gJycHp06dgkAgwKlTpyAWi9GzZ0/weDwMHjwYZmZf11dMJern5cuX2LdvH/h8PqKiomBnZwdfX19wuVy0adNG7pdOdHQ03NzcYG1tjSnrArA8LFohW9Jjs1Az9hqu7V2B4OBg9OzZU96mISYmRjayHxkZCWtra/j4+IDH48HZ2bncvFCJCOHh4RAIBAgICEBiYiKcnJxkAfGXo8FlISwsDP3794e3tzcGTluKBSefKqwn9t0gpN8PxbVr11C3bl255CAi3Lt3Txbsx8bGomHDhrK2NWrUSM6WVVJJyaSnp+PIkSMQCAQ4d+4c9PT00L9/f/B4PPTr1w9GRkZylSedRTty5Ah+3XYcAS8ZhW1pwaBmGNG+trxNKnd8FQHl3xdeYuWZFwo/L/3qm96jAab2alKmZxiGweXLl8Hn8xEUFIS0tDS0a9cOXC4XI0aMgJ2dncLyVFJJWSEi3L59G3w+HwEBAUhISEDTpk1l00P16tUrc1lPnjyB+9QVMGw/TBmBABYL/WqJseknzzI/lpSUhIMHD0IgEODq1aswMTGBl5cXuFwuevXqBX19fcVl0gFEIhHOnj0LgUCAI0eOIDs7G25ubuDxeBg2bBiqVatW5rIOHz6M71YdQNUuIxUX6P96+ra1Jf706VTmx6Kjo2UfMs+ePYO1tbXsQ6Z9+/blJtivpHwTGxuLgIAA8Pl83L17FxYWFhg2bBi4XC66dOlS5tmw3NxcuI5fiAQ7F6VlmtW7MSZ1r9gfUuU2oPzrr7+wc+dOREZGltg5Am6/xa+HH6ms3uXeLeBTxJdGaGgohg4dipMnTyIkJAT79u3D+/fvUa9ePXC5XHC5XDRpUrZgtJLC7Nq1C/379/8qp8dUhUgkQlhYmCxoycrKgqurK3g8HmJjYxEYGFiiPWnKlgAgMjISLVu2xPLly3H58mWEhIRAIpGgd+/e4HK58PLyQpUqVVQmiy6RmZmJo0ePgs/n4+zZs+BwOOjXrx+4XC5evHiBvXv36pyefvvtN1y4cAHXrl2DiYkJBg8eDB6PB3d3d+jp6alMlq+NSr+nPE+fPpUtMYmJiUGtWrXg5+eH3NxchISE6Jwt3b9/X+k15dqiXAaU6enpqFevHlauXIkxY8YUuHb8+HHMnz8fkZGRqG5ljZz6XVClow9YbMXWqqRdP4CsqHCIU2LB5GZD39waI4d7YdnC+bC2tgbwX3LN/PnzkZOT81Ul12gKLy8v2NraYsuWLdoWpUKQP5nn9OnTYBgGrVq1wpw5c2TJPIGBgThx4gTCw8MRFRUF49otUMNvqVL1ZtwPxecnFyFKeg8SZqJWzZro2aM7/P39Ubdu3QLJNXv37oVYLNap5BpN82UyD4vFgqurKxYsWCBLltq5cydOnDiBp0+fIjdXhFwzW1T5xhOmTbsoXG9pesqfXHPy5EkQETw8PL6a5BpNUen3VEf+ZJ6AgACkpKSgZs2amDx5siyZZ/r06bh06RJiYmKQnZMDxsQKxk3cYN7BG2wDxRIcS7Ol/Hh6eoLD4eDw4cMqaLHmKZcB5dq1a+Hv74+4uLgC6yJCQkLQv39/dOvWDb6+vlgVcBbPLxxCldZ9UL3PTwrVlXB4Cdgm5tCv7gCWgTEkye+Q9fAMHOxsMH36dAQFBcmSa5o1a4bHjx/jw4cPqF69uqqa+1VDREhNTYWzszN+/fVXfP/999oWqcKxcOFCLFmyBC1atMDt27dlyTx3797F69ev0b59e1wLjwDbqg5slAwok05vAomEMLCuA46JGWxZ6Ui4HQyhUAgfHx+cOHFCllzToUMH7Nu3D1FRUWjQoIGKWlt+mTNnDlavXg17e3tER0fD3t4ezs7OOHnyJPr374/u3btDcOs9Hl07g5w3D2Hh6ouqnbkK1VWcnnJyctC7d2+EhobKkmvatGmDLVu2VOpJhVT6PfWycuVK+Pv7o1+/fjh58qQsmefDhw/o2bMnmjVrBsGdj3j6+CHSH5yFoV0j2HCXgcWSP3G0OFuSSCR48OAB7O3tZfeGhISgX79+5daWlE+r1QK7du3CoEGDCi2ynTVrFlq2bIkzZ86g26ARyHEeBfOOw5B5LxSipHcK1WXtPQfV+06CeXtPmLXqjardv4dFnyl4/fo1pkyZAgMDA+zZswfx8fEIDg6GWCzGsWPHVNHMMrNp0ya4u7tj+PDhOHfuXIFriYmJKtuSRxuwWCxkZGQgLS1NtpC/HH4DAdBdPQUFBWHo0KG4desWXrx4gZkzZ+Lq1at4+PAhqlSpggZtXEEmVVXyd6/eZyKsBkyHeQdvmLbohYzmQ2BsVQupqang8/nw9vbGzZs38fLlS+zevRuWlpbYs2ePClpZPBcvXgSLxSr2X/fu3QEAU6ZMQbt27WBoaIjWrVurVaaiOHXqFIYNG4ZXr17h5s2b8Pb2xuXLlyEWi/Hy5Ut8yJAgvnY31BixGEZ1WiLtZhCY3ByF6ipKTxLjqkhLS8P58+cxc+ZMvHjxAjdv3sT69es1oqf86KotqYqK4vd0VU979+6Ft7c3Dh48iLi4OOzatQsGBgZ4/fo1du3aheBr9/DJ3g2WvSfCsstICN9HIvejYnkYRdnSlr0HkJiYiH///bfAve7u7hq3JVVS7gLK6OhoPHz4EO7u7gV+j4yMRGRkJMaPHw89PT0Iwt+Cw2bBrE0/AITPz66pTAY9cysAwNKlS3HmzBl8++23MDMzQ40aNdCyZUuNBpTr16/Hzz//jCZNmsDQ0BD9+vXD0qX/jSJJJBK8efNGY/KoEoZhAADXrl2DnZ0dunTJm8JjsViya+UFXdXTl/bUqFEj+Pv748WLFwgPD8fw4cMR/DJDbfUTI0F1l7zknAkTJmDDhg3o0KEDWCwW9PX10a1bN7XbU6dOnRAbG1vo39atW8FisTBx4kTZvd999x18fHzUKk9R5NcTi8VChw4dsGHDBnz69AmnTp1C69atsfvaaxAjAYvFgnGjjoBEBHHqJ5XUT4wEjv2+AwB8//338Pf3lwU6mtKTFF21JVVRUfyerurpS59nbm6OUaNG4cyZM3j//j2WLVuGaE5NEPP/rZ0s8pbZMMLPKqmfw2bhelzeErzU1NQC1zRtS6qm3K2Wvn79OgCgbdu2BX6/d+8eAOCbb74BAFx4Hg8JQ9Azqw6OmRVEca8VrpOIwGSnAwwDUcoHpF7cA7DZ8PQsnKXarl07HD16VOG65GXr1q3Ytm0b/Pz8AOS9lL28vJCdnY0///xTY3KoGiKSLZSOjIwEESEmJgYRERFIS0vDrVu3UKVKFaxcuVLLkpYNXdVTcfbEYrHg7OwMZ2dn3FtxHgk3jqi0Xsn/7UmcnoDo2yEAgN69exe6r127djh27BjS09Nhbm6uUhmkGBgYFNpj8enTp5g1axbmzJmDYcPystrXr18PAEhISMDDhw/VIktxFKcnfX199OvXD/369UPnv87hXUreiKTkcwoAgG2i3N8sv56e3j4KAIU+5gHN6EmKrtqSKqhIfk9X9VScLQGAnZ0dJk+ejIOLTuJtYipEiW+QemUvWAbGMLBTbl9bqS0J0xOw4+gBAChy2zRN2pKqKXcB5bNnzwCg0HYnsbGxAPI6RKZQjLfJWbJrnCqWEGcmKVwn8zkV7//+bwsOjpkVrAf+DId6DQvdW79+fSQmJiI+Pl4jmXnR0dHo1Om/bT06deqE8+fPw93dHSKRCNOmTVO7DKom/+a84eHhCA4OxuPHj+Hj44PY2FhYWlqiffv2ePv2LaKiotCwYWE96Bq6qqfi7ElKplCMd8nZKq/3/d+jAIkIAMA2NseK1WvQq1evQvfVr18fDMPg2bNncHZ2VrkcRZGamgpPT09069YNCxcu1EidpVEWPb2XBpPZGch8cAaGtZpBr0rZtxsqCl3Uk67akrJUNL+nq3oqzZYuX7+JGwsGy/5br1ot1BjyBzjGyu0XrYu2pGrKXUCZlJQEPT29QluGZGfnvfQMDQ3xJulzweOQOAZgcrOgKGzjKqgxYhFInIvcuFfIen4DTG42Qq9FoF7VgvvfZWTkTQ9evnxZpetDrK2tUatWrUIZ41ZWVnj37l2BbLHmzZvj/Pnz6NGjBz5+/Fim8qOiopCenq4yeYuifv36sLCwKDHrPb9TPXv2LDZu3Ag2m40DBw6gcePGaNGiBYRCIYyMjPDy5UssX74cDg4OmDdvXol1ExHi4+Px4cMHlbbpS+rWrQtLS0u16enBgweyUzZUwbNnz8DhcPDiRdHrg6JTRVDHyi2b4QtA4lyIkt7h85OLuB/5Enfv3i10X1JS3ofgzZs3ld5+hs1ml7r2kWEY+Pn55S2bEQiU3qHh/v37KpmmLKueiBgknlgJRpiJar1+ULpebehJCofDQatWrQr9rgpbIiKkpKQgJiZGJbIWh7m5eZkCP3X4PSKCWCzGo0eq2/amKIpro6r09P79eyQkJKhM3tJs6UNabt77PjcHwg9PkRNzH4xIsbXI+fnSlj4kpBZ5n/R408TERKXr1DTlLqAsDumZxUKhELlUMMgjSS5Yeoofacji6MO4bmsAgElDZxjVaY04/s8YcTMI4pSijUI6TaYqJk+ejDVr1hQ6pcfNzQ2HDx9G586dC/zu5OSEc+fOyRIKSmPKlCkICQlRmbxFERISgr59+5Z4j9SpHjt2DDt27EBsbCw2btxY4EtNuom1paUlOnfujHnz5iE3NxeLFi0qsewBAwbgzp07SraiZPh8Pnx8fAq9VFWlpx49eiA5OVll8kpp165dkb8b2DWG3ajVKq/PqE5LAIBxg29g3MgFgq3jIdi+qdj7p06dqnSdpqamyMzMLPGeOXPm4MaNG7h165ZKTrDq3LlzqXXKQ2l6Sj67FTmvI1B9wAwY2Cj/QasNPUmpVq2aLFDNjypsSSKRICQkBDweT2XyFkXv3r1x+vTpUu9Tl987efIkvL29lWxFyXh4eCA4OLjQ76rQE8MwWLFiBTZs2KAyeaWUxeeZNHbB5ycXkXBoEexGr1XKpr60pc2rJ6OBvRUmTZpU4D5p8lV53G6w3AWU1atXh1gsRkZGRgGHLz15JjY2Fqa1HAs8I8lMgaGS6x/yY1SrKThVqqFD62ZYv/JEgWs7d+7Exo0bERYWJvvSUAXW1tZFbr7666+/IiIioshnmjVrhgsXLuDQoUOllr9+/Xq1jlCyWKwyZ8Z+/PgRK1asQE5ODv799184OTnJvuCJSBZUW1lZ4dtvv0Xjxo0xaNAgtGzZEsOHDy+2/oCAAKSlpamqSUVSt27dIo/mVJWezp8/r9IRyk2bNmHHjh24fPlykXsHRqeKMPOser+U9S3t0NipOQw5wO7duwtcCwkJwe+//45///0XzZo1U6qe0k7HCAgIwMqVK3Hq1CmVHQ145coVlYxQlkVP3/uvR+bdU6jabTSqNO+hdJ1foik9SSnuiFtV2BKHw4GHh0ex5aiKunXrlvl8bXX4vW7duqm9jcWt81OFnthsNn7++WeMHj1aWTFlyOvzTBw7ASdX4/PTyyr5SAPybKlJ85YQCASFAsqUlLz1z1ZWViqpS5OUu4BSetpMdHQ0WrZsKftdGqzcuXMHo1q1BQsAARBnJEGSkQj91n1UKgeJc2FqwCm0sHfz5s2wsrJS6IxiRZg+fTp++qn4PTZtbGywe/fuUqeEdWk9jr29Pf744w80atRItmxA6pCl/7tjxw6MHj0aHA4HLi4uGDRoEK5cuYLhw4cX68C1ua+XqvRU1BSgMnTv3h07duyAhYVFAXuS4igUY9bZ0kdYlIEFwEifDVFubiF7CgkJAZvNxqBBg2BhYaE2Ge7fv4/vv/8ey5YtQ58+qvMVqtpeqDQ9XVy3HmlX98HsG09YuAxVSZ1fogt6AlRjSywWC9WqVZPrSEt1o2q/x2KxYGlpqdKBDXlQlZ4cHBzg4OCgMrnK6vOkS31ILAKIASNUfNncl7AAkFiItKzcQteio6PBZrPRuLHqBsE0RbnbNqhjx44AUGjqslmzZmjSpAn++ecfGOmxULuaCQAg814wABZMHd3krovJzSly7cTnZ9fA5GSig3P7QtciIiJkMmqCCxcuYPjw4fD39y/yenndQqNPnz4F1qDmn+YViUQIDg6W/Z2fP3+O16//y+LXxakCXdVTcfYkxUiPBSvFDogoBDESSHIKT/9WzXyDJ48fy3ZoyE9ERASaNWum1iAlMTERXl5e6NatG3g8Hj59+lTgn3T9VlRUFO7fv49Pnz4hOzsb9+/fx/3795GbW/iloGpK0lNgYCB+njEdli26wrLnWKXr0lU9SdFVW1IFFcnv6aqeirOl1NRUiEQimBrqwc7sv2VzmQ/yPqgNbeUfdCnWlj7rhi2pmnI3Qlm/fn00b94cYWFh+O677wpcW7FiBQYNGoTevXvDvGkXpITfRXrESVRp1Rv6Vv994YhT4/Bhy/cwbd4TVgOmF1uXOOUj4gJ+h0nTztCvlpcQI/wUhc9PLkDftCpMTU2RkJAgO4IxPj4eDx8+LPGrTB1s3rwZs2bNwsOHD8Hn8yvcsWfh4eG4e/cuRo4ciSpVqkBfXx+bN2+Gq6srOnTogNTUVBgbG2s0kFcEXdRTUfZERLh//z6WL1+O4OBgiKwdIclKAyMSIvVaAADAyKE5jGr/d97sm2UDYOjQHLbcZcXWRbnZ+LBxNEyadoaBVW2w9I2QGx+NNw/PwFBPDz169IBEIpFN7YlEIly6dKnAPpDq4NSpU3jz5g3evHkjWzqTnzp16iAmJgZjx47FpUuXZL+3adMGQN6IwpdHqKmaovQkkUiwefNmTJ06FUQEoQRgPz4P5DvNw7BWU+hX/W9LJGX09PbhGRjq62PIkCEFRsM0paf86KItqZqK4Pd0UU/FxRDHjh3D9OnTYWhoiPSqDWFg3wS5HyKR9fwGDGwbwbR5wTWfitqSOPENPj4+BwsLC/zxxx8F7teGLamScnn04po1azBv3jzEx8fLknGkHD16FAsWLEDk06eQGJihSouesHD1BYvzX+ycmxCD2B2TYO4yFJbdRhdbjyQrDamX9yLn3WNI0hNBjBh65jVg3KA92tjq43roUQB5X5VcLhcJCQn47bff8OnTJ5Us6C8LbDYbnz59QlJSEjw9PWFoaIhjx47JvnLj4uJgb2+v0nV3miY4OBj+/v74559/ZC9xABg3bhxYLBbGjRsHoVAINzf5R6E1hS7rSWpPt2/fxuHDhyEQCBAZGQkTExNkZRU9zZP/WD8mNxvvVg+DSdMusPb8pdh6SCJCyoVdyHnzEOL0eJAoF5wq1dCkQW1kJifIAjpfX19wuVzExcWhX79+ePnypU4tydAWUj2dPn0ahw4dwv79+2XbpRVH9X7TUKVl3r6Ryuqpfi1bJH16j+TkZDg5OYHH48HPzw9Pnz6Fh4eHxvSky7akSsq739NlPUltKTo6GmfPngWfz0doaCiICMbGxhCJxRAzgF5VW5g4usK8wxCwDf47mU9ZW/Ie0Bd/LV5Q6EM0NDRUo7akasrdCCWQd1rFokWLsG/fvkJnnHp5ecHLywsAMHJHOK6/ToKEKRgzC989AUvfCObtC29Mnh+OiQWq9y24YJbDZqFT/erY+30HJCYm4sCBA+Dz+fDz85Ote7h+/Tp69uypsu0zykLTpk1x+/Zt+Pr6on379ggMDCxyA+LySL9+/bBv3z6MHj0aoaGhslEkkUiE6tWro337/5YelHUBvLbQNT1Js2hzcnLQtGlTmJiYwMvLCytXroS7u7sss7Q4WwIA4bvHAFiw6Fh0YoAUFkcf1dzHy/47vy0REW7fvg2BQIC9e/di9erVqFKlCpo2bVpscsbXRHR0NJKTk5GVlQVXV1fUqFEDI0aMAJfLRfv27WV9Xt16EolEOHv2LAQCARYtWoQ5c+agWrVqaNWqlcbXI+qaLamaiuL3dE1PYrEYderUQW5uLmrWrInc3Fx06tQJGzZswPDhw2XJMOq2paLYsmULvLy8ymUwCZTTEUoAWL58OXbt2oXIyMhiszffJWfBfc0lCMUFsywTjiyFXjV7WHYdJXe9hnpshE3vCof/r9GUsnPnTkyYMAEODg549eoVbGxsMGLECPB4PLRr105txi79CpRuok5E+O2337B69WosX74cfn5+FeJrHcjb9ic1NVWWObl//34EBgaqfIsmdaBLesrOzsbJkyfB5/MREhICiUSChg0bIiMjA8+ePSsya7M4WwKAlPM7Ic5MgvWgn+WSozhbEovF2LlzJ3788UcYGhoiJycHrq6u4PF4GDZsGKpXry5fg8spSUlJOHDgAAQCAa5duwYTExM4OjoiISEBr169goFB4a3QNKmnzMxMbNy4Eb/99hsAQE9PD/369QOXy8WAAQMKzR6pCl2yJU1QXv2eLumJiHDnzh0IBAIEBAQgLi5OFjjeuHGjyABOk7YE5J3O1aJFC9y/fx/Nmzcv4mndp9wGlGUl4PZb/HpYdRu7LvduAZ/2tYu9TkSIiIiAQCDA/v37ERcXh8aNG8umh1SdaczhcBAbG1voVJ6AgACMHTsW3bt3R3BwcIVxrmvXrsWDBw/w/v17fP/99xgxYoS2RSoT2taTRCLBxYsXIRAIcOjQIaSnp6N9+/bg8Xjw8fGBjY1NqWVo2paAvKDl2LFjEAgEOHPmDNhsNvr27Qsej4eBAweqLWjRFtnZ2Thx4oQs2Cci9O7dGzweD56enmVag7YvPAZzjj5RmUxl0VNcXBwCAwPB5/Nx+/ZtmJubY8iQIeDxeOjatatKR5m1bUvaoDz6PV3Q06tXryAQCCAQCPDixQvY2trKBnratm1b6kCPNnxeeabCB5QA8PeFl1h5puhd8csEHgEFSwAAt8RJREFUEcBi4bt2Vpg3tOih6qIQi8U4f/48BAIBDh8+jMzMTLi4uIDH42H48OGyZB5l+PIrMD/379+Hl5cX3r17V6GcK5D34i1PwYQ29CRNrpF+3Hz8+BENGjSQfdzIuy3F1q1b8cue87Ds+q0yUgFgocHnJwhb97NcI/fx8fEIDAyEQCBAeHg4zMzMMGTIEHC5XHTv3r3cTo1LJBJcuHABfD4fhw8fRkZGBjp06AAulwsfHx+5jnAlIowbNw6Hnn2GRWdlNu3O01NXyzTs+cVPridfvHghe4m/evUK9vb28PX1BY/HQ6tWrZSerflafR5QvvyetvSUkJAg8xM3b95ElSpV4O3tDR6Ph+7du8u1FC0qKgpdJy6FfjvlN4f/ubcjfupePqeyy8pXEVACeV8a/sefQMxQkWsiioPDZkGPBUhuB0Dy4gquXr2KmjVryl1/VlYWjh8/DoFAgNDQUAD/JfN4enrCxKTwEHhZuHTpElxdXYs1kqSkJJw6dQrffqtMEKB7lLZmSNfWFGlSTzExMdi3b58sucba2ho+Pj7g8XhwdnZW6O8SEBAAPz8/TJ48GS7cmZh/QkFbYrPgUSMD66b4YNasWfjrr78Ukufly5fYt28f+Hw+oqKiCiTztGnTRqd0XxREhHv37smC/djYWDRq1AhcLhd+fn4KbaxORPj555+xatUq7N27F3qOXRT3eWwWmnx+iBNrf8P+/fvh4+OjkDy3bt0Cn89HYGAgEhISCiTz1KlTR+4ygfLv85TxTbrm10pCk3r6/Pkzjh8/Dj6fj9OnT4PFYqFv377gcrkYNGiQQu/XDx8+wNXVFUZGRpi56RBWXnirsC39OahZhR6ZlPLVBJRA3pqIOUce4UpUIjhsVokdQ3q9c0MrLBncApSZCDc3N5iZmeHy5ctKrePKn8xz48YNmJqawtvbG1wuV+PJPNokNTUVAFC1alWVl/327VvUrFmz3I5ayUtSUhIOHjwIgUCAq1evypJreDxegeQaRQgODoanpyf8/Pywa9cusNlspWzJoZoJ/v77b0yePBlLliyRrcFTBGkyD5/PR0BAABISEtC0aVNZYFavXj2Fy1YH0dHRskD42bNnsLa2lgXC+ZNrFGHJkiWYO3cu/v77b9nWZcroqWZVI4wePRr79+/H8ePH4eHhobBs+ZN5jhw5guzsbLi5ucnWxerSBuPqRCKR4P379woH0yWhTn+qi4jFYpw7dw58Ph9HjhzB58+f0alTJ3C53ALJNYqQmJiILl264PPnz7h69SocHByU9nlfA19VQCnlZVwGBOFvceFFPN4mZSH/H4AFoHZ1E3RvXAM8l9poWOO/7X9evHgBNzc31K1bF+fOnVPJ1kCvXr2SjSY9f/5cY8k82ub9+/dwdXWFmZkZrly5otLTHMLCwuDh4QEej4cdO3aUeuReeaWo5JrevXuDy+XCy8sLVapUUbqOK1euoHfv3ujTpw+CgoIKfewoaksAsHDhQsybNw+bNm3ChAkTlJZVJBIhLCxMFrRIM6K1ncxTVHLN4MGDZcG+Kj4gN2/ejIkTJ2LhwoX4/fffC11XVE8ikQhDhw7F2bNncfr06ULnMitCZmYmjh49Cj6fj7Nnz4LD4WgkmUfbMAyD7777DgKBACEhISrNdE5OTkaXLl2QmZmJq1evolatWiorW5coKrnG0dFRNuqdf1N4RUlPT0fPnj3x9u1bXLlypdDSIGV8XoWHvnIyc0QUdO4mGdg1pqBzNykzR1Ti/Xfv3iVzc3Pq3r07ZWdnq0wOhmHo9u3bNG3aNLKxsSEA1LhxY/rzzz8pKipKZfXoAvHx8dSkSROqU6cOvXv3Ti11CAQCYrFYNG3aNGIYRi11aAOxWExhYWE0ZswYMjc3JwDUvn17WrduHX369EmldUVERJC5uTn16NGjTH1dXltiGIamTZtGLBaL9u3bpyqxiYgoIyOD+Hw+eXh4EIfDIX19fRo4cCAFBgZSVlaWSusqiqysLAoMDKSBAweSnp4ecTgc8vDwIIFAQJmZmSqtS9rXp0+fXqa+Lq+esrOzqXv37mRubk53795VldhERPTp0ydat24dtW/fngCQubk5jRkzhs6dO0disVildWkThmFo6tSpaunrUt6+fUu1a9empk2bUkJCglrq0BZRUVG0YMECaty4MQEgW1tbmjZtGt25c0el/j0rK4u6detGFhYWdO/evVLvl9eWKjpffUBJlPfiBEARERFluv/KlStkbGxMgwYNIpFI9R1IJBLR6dOn6dtvv6UqVaoQAHJxcaG///6b4uPjS33+1atX5O3tTa9evVK5bMqSlpZG7dq1IxsbG3rx4oVa69q0aRMBoAULFqi1HkUpq54YhqG7d+/SzJkzyd7engBQgwYNyN/fn54/f64W2Z49e0bW1tbk7OxM6enpZX5OXluSSCQ0evRo0tPTo5MnTyoqbonExcXR+vXrqUOHDgSAzMzMaPTo0XT27FmVBi1isZjOnj1Lo0aNIjMzMwJAHTp0oPXr11NcXJzK6snPiRMniMPh0JgxY+R6scqrp/T0dGrfvj1ZW1urrc89f/6c5s2bRw0aNCAAZG9vTzNnzqR79+6VqW267Pfmz59PAGjz5s1qrefFixdUo0YNateuHaWlpam1LkUpq57i4+Npw4YN5OLiQgCoSpUq9O2339KZM2fU8t7Nzc2lgQMHkrGxMV29erXMz8lrSxWZyoCSFOsQwcHBpKenRyNHjiSJRKI22T5//kz79++nAQMGkJ6eHunp6VH//v1p37599Pnz5yKf0dUOnpWVRV26dKGqVavS/fv3NVLn4sWLCQCtW7dOI/XJQ2l6io6OpsWLF5OTkxMBIGtra5o0aRLdvHlTraOub968IQcHB2rWrBklJibK9awifU8kEpG3tzcZGRnRxYsX5RVXLl68eEHz58+nhg0bEgCys7OjGTNmUEREhEJ/U4ZhKCIigmbMmEF2dnYEgBo1akTz589X+wfTxYsXycjIiLy9veV+wSqip8TERHJyciIHBwd6+/atvOKWGYZh6ObNmzRp0iSytrYmAOTk5ERLliyhmJiYYp/TVb+3du1aAkBLlizRSH33798nCwsL6tq1q0ZG4+WlJD1lZmbSvn37qF+/fsThcEhPT48GDBhA+/fvL/Z9pwokEgnxeDzS19enkJAQuZ7V1X6nDSoDSlK8QwQEBBCLxaLJkydrZFo1ISGBNm7cSB07diQAZGpqSiNHjqTQ0NACLxRd7OC5ubnUv39/MjExoWvXrmmsXoZhaNasWQSA9uzZo7F6y0JRekpMTKTNmzeTm5sbASATExPy8/Oj4OBgys3NVbtMcXFx1LhxY6pXrx59+PBB7ucV7Xs5OTnk7u5OZmZmdOfOHbnrlReGYSg8PJwmT54sC1qaNm1KixYtotevX5f6/OvXr2nRokXUpEkTWbA/ZcoUCg8P14gvuH37NpmZmVGvXr0oJydH7ucV1dP79++pbt265OjoqLZR1/zk5ubSqVOnyM/Pj4yNjQkAubm50ZYtWygpKanAvbro93bv3k0A6Oeff9bo0purV6+SsbExDRgwQCN+Qx6+1JNIJKLQ0FDi8XhkampKAKhTp060ceNGjUzdMwxDkyZNIhaLRYGBgXI/r4v9TltUBpSkXIf4559/CADNmzdPDZIVT1RUFP3555/k6OhIAMjGxoamTp1Kt2/fpjt37uhUB5dIJOTn50f6+voUGhqq8foZhqGxY8cSh8Oho0eParz+4pD2u2vXrtGBAwdo0KBBpK+vT2w2m/r27Ut79+6ljIwMjcmTmZlJbdq0IVtbW4XX7SpjSxkZGeTi4kJWVlb09OlThepXhNzcXAoODiYul0smJiYEgFxdXWnz5s0FRmgTExNp06ZN5OrqKgv2uVwuhYSEqGUKrjgiIyOpevXq5OLionD/UEZPUVFRZGtrS23atKHU1FSF6leEjIwM2rt3L/Xp04fYbDbp6+uTp6cnHThwgLKysnTuxX7kyBHicDg0btw4razjDg0NJX19ffLz81PrLJq8SPX077//0tSpU2U5A46OjrRw4UKNL1nw9/cnAPTPP/8o9Lyu9TttUhlQkvIdYvny5WRtbV2m9Y2qpqhknjp16hAAnQieGIahCRMmEJvNpoMHD2pNDrFYTMOGDSMDAwO6cOGC1uTIL8/mzZtlI83qTK4pCwzDkEQioQkTJtCjR48ULkdZW0pKSqLmzZtTrVq11DqtWhxFJfO0a9eO2rVrRxwOR63JNWXhzZs3VLNmTWrRogUlJycrXI6yenr48CFZWloSn89XWAZlKCqZZ9CgQQSAbt26pRWZ8nP+/HkyMDCgYcOGaTW56MCBA8RisWjixIk6kZwYFRVFP/zwAyFv53y1JdeUFYZh6OjRo7Rq1SqFy6gMKP+jMqAk1XSIxMRErU8tSJN5+vfvLzNYeZJ51MXLly/p9u3bWqtfilAopNDQUK0EAkRFJ9cAoPHjx6st0UFe+ZRFFbaUnJwsy/LVxktGmlwzfPhwMjQ0lOnJ0NCQRowYofJknrLCMAyJRCIKCwujlJQUpcpShZ608eFTFNJknlq1asmWH8iTzKMOMjMzKTQ0VOvvBKK85RHa3Cnky+Qa6dKFjRs3anRkvziUHb2tDCj/ozKgJNV0iLI4rp07d2pk3ZG0PUuWLKH+/fuXOZmnNBQ1PF34MpaiDVmKS66Rrq+qSI5IVc5V03oqKrmmYcOGsuQaVSfzEGnXnjT1EtSUzyMi2VIfHx8fsrKyKnMyT2lU+j35KSm55urVqxXK71UGlP9RGVCS5jqEp6cn/fDDD2qtg6hwe+Lj4+nvv/8uNZmnNDZs2EAjRozQ2AtCFxAKhQo9V1xyzalTp2SjFpp2RJoYVdOWc1VUT/Im1yibzJMfbdpTRfN5RAXbJE8yT2l8bX5PUVsqKrmmY8eOhZJrNOkjKrLP00UqA0pSf4dgGIaSk5OpYcOGtH37drXUkZ+S2lNSMk9pX7Hx8fFkYmJC169fJyLFHY+uIxKJaPv27dS5c2caMGAALViwoEwvk6ysLLmSazTliHbv3i37/+p2sJp0rorqSVXJNWVN5ikObdpTRfN5RMW3qbRkntL4GvyeorbEMAzdunVLruQaTfiIiurzdJ3KgJI00yHevHlD1tbWdOnSJSJS7xREWdpTVDJPjx49Siw3PT2dOnbsSCtXrpT99u7dO+rSpQutX79eoe1LdImLFy/SnTt3qGfPntSyZUv6888/ad26dWRmZkbfffddiVtY/PHHH3KfXKOJfjdy5EhisVg0evRo2YtQnQ5WE21SVE+5ubnk7e2tlpNrikrmOXr0aInTpdq0p4rm84jK1qaiknlevXpVomwV2e8paksMw9DVq1cVOrlG3X2vIvq88kLFPORYh2AYBgBw7do12NnZoUuXLgAAFosF0uIx6iwWC9988w3WrFmD9+/f4/Tp05g4cSLEYnGR90skEpiZmaFZs2a4evUqAGDXrl3o2bMnJBIJWrZsievXr2PSpEmYP38+nj9/rsnmyM2Xf3uBQABvb28cP34czZo1w4EDB/DHH39gypQp2LhxI548eYKHDx8WWZZIJELNmjUxffp0PH/+HLdu3cKUKVNgY2OjiaYUy99//4179+5hypQpiIyMhJ+fH9LT08HhcCCRSLQqW1lRpZ709fXRqFEjrF69Gh8/fkRwcDD8/PxgamqqtJxVqlQBl8tFcHAwPn78iNWrV6Nr167FniNf0ewpP7rq8wDAxsYGU6ZMwa1bt/D8+XMsWLAA9evXB4vFKvL+iqQnVdoSi8VC/fr10bFjR5w5cwbv3r3DmjVr0K5du2L/lpqgIvi88oyetgWoyBCR7IUSGRkJIkJMTAwiIiKQlpaGW7duwdjYGGvWrNGqnHp6eujduzeAwk5HCofDAQAMHDgQS5cuRZcuXfDx40d8++23mD17NjgcDpYsWQKhUIiIiAisWbMG/fv3x5o1a7QeWH1JQkICrK2tAeS9MDgcDgICAjB69GhMmjQJenp6sLS0lF1r2LAhoqKi0KBBgyLL09fXx/jx47XqSIsiJSUFvXr1wi+//IIzZ85g8+bN8PX1xc6dO2FjYwOGYYoNeHQBVeuJiLBs2TK1y12jRg1MmjSpxHsqkj3lp7z4PABo3LgxGjduDCIq1nYrip5UbUsAYGdnh927d2uoBWWjvPu88k7lX1ZN5HdS4eHhCA4OxuPHj+Hj44Pp06dj3bp1yMnJQUZGBtLS0rQs7X8U5VilQWZOTg6EQiHCw8ORnp6OnTt34vfff4ehoSH09PQwb948rF27FidOnMDt27fx9OlTBAQEFChD26xcuRItW7bE/PnzkZmZCQ6Hg6SkJMTHx6NBgwawtraGpaUlABR4MdarVw8WFhbFlqtLweSuXbtw+/ZtzJ07Fz/++CNsbW3h6+uLKVOmICMjA76+voiOjpa179OnT1qWuDDq0JOu6Kgi2VN+KpLPAyqOntTl83SJiuDzKgSanWHXTVS9BiL/GpIzZ86Qp6cnffPNN3Tw4EF68OABMQwjW3eTnJxMs2fPVniX/qJQZXuka0/S0tLo22+/pQ4dOhCLxaJZs2YR0X9bahS1bsbHx4e8vLwoPT1daTlUxefPnykoKIgcHR2pc+fOlJSURFFRUWRqakofP34kosJt6dChAy1cuLDIa8qgjn6XlpZGlpaWtHnzZtnv+dfxHTp0iNzd3alTp0705MkTCgoKoho1aih0zGJRqKpNuqQnVaIr9lTRfB5Rpd8rDl2zJVXqqSL5vIpA5ZS3GpB+8R47dgw7duxAbGwsNm7cCGdnZ9k9+vr6AIDY2FgIhUIsXboUSUlJ+PXXX7Uic3FwOBw8e/YMI0aMgEgkwr///otNmzYhOjoaIpFI1g5pm6VTCm/fvoWenh5ycnJgZmamzSYUwMTEBEOGDME333wDPz8/9OrVC7a2tvDw8JCtpcs/YnHs2DHExMRg7Nixha7pGkQEc3Nz9OrVCzExMbLf2Gy2bPTI29sbRkZG2Lp1Kzw8PBAbGwt/f3/Y29trV/gvqKh6qmj2JKUi+TygYumpotoSULF8XoVAm9GsrqCOL4wPHz6Qq6srtWvXjp48eUJEhb/0pF9Rjx8/ph49elDVqlXp3r17StetqvZIJBKaPXs21atXj/r37y/LWg4LCyMzM7Niv8AfPHhA7u7u5OLiQsHBwbKydAWpLKmpqbRy5UpisVjk5eVFRAWzAYVCIbm6upK/v7/st5SUFJWdOqSuUaLffvuNHB0dC21VlL//LV++nFgsllJHjhWFKtukK3pSFbpkTxXN5xFV+r2S0CVbUvUIJVHF8Xnlnco1lGrC3t4ef/zxBw4cOAAnJycwDFPoS4/NZuP169f4+++/IRQKMXPmTLRu3Vo7AhdD9erVMWfOHAQFBckWmdvZ2cHGxgaXLl2S3UdEiIqKwvjx49G9e3fUqFED//zzDzw8PABApxZCS79eLSwsMHnyZPj7++P9+/fIzs4Gh8ORrXu6desWxGIxBg4ciKNHj6Jz586oVasWDh48qOUWFCQ6OhpPnz7F58+fAQA9e/aEiYkJcnNzZfdI+59EIsHjx4+xfPlyTJs2DTNmzNCW2KVS0fQEVEx7klJRfB5Q8fRU0Wypovq8co/WQlkdQt1fGMWd5/rkyRMaPXo0ubi40Nq1a2W/6+LogxSpbM2bN6dFixYREdH58+dp1KhR5ODgQAMHDpTtO1deOHToEDk5OVFgYCARkewMaT8/P2KxWGRkZERWVlY0Y8YMpY5w+xJV6On9+/fk6OhIhoaG1KZNG3J1daURI0YQi8WihQsXUkxMjGydlJQrV67Q7NmzlRW/SNTZ97SlJ3WiLXuqaD6PqNLvyYM2bUlZPX1NPq+8UbmGUgNI19ukpaXJsuYiIiKwatUqvHnzBmPGjMH48eMBQOe3NZDKNnbsWISEhOCvv/7Cr7/+im7duuHEiRNo1aqV7N6S2vL69WvUq1dPretzsrOzcf78efTv37/I6/T/NTatW7dGkyZNcOLECQwfPhwcDge5ubkwMzPD7Nmz4ePjo5OjKABQs2ZNBAUFgWEYvH79GpcuXYKxsTEAYN68edi9ezeSkpLQpk0bWFhYwM7ODosXL4abm5uWJf+PpKQk3LlzB3369CnyekXQU3Gowp5ycnLw+fNnVK9eXWNyl0ZF8nmA8nqSSCRISEiAhYWFzD7VARHhzp07sLKyQu3atWXbHuW/Xt5tqSL4vAqLduNZ3UATx5Ddv3+fmjdvTq9evaIbN27QkCFDyM3Njfh8vuw+Va230eQX0927d6l3797E4XDIxcWFVq1aVeKJMkRE2dnZZGpqSo0bN6Y///yToqKiVCaPWCymsLAwGjNmjOzkmgcPHpT4t2UYhubMmUPW1tYaPa9XVXoqKgvTz8+PFi9eTI8fP6bjx4/TmjVraNiwYTR58mSl6iqNsrYpKyuLAgMDaeDAgaSnp0empqaUnZ1d4jPa0pMmkdeeRCIRbdiwgfT19WngwIEUGBhYpuMEK5rPI9J9v8flcsnc3JzGjBlD586dU+npLVFRUbRgwQLZyTU///xzidnZ2rQlVeipPPq8r4HKgJI01yEGDBhA1apVI3d3d+rRowcdPnxYdq28OlYp6enptHz5cnJ0dJRNPRSHRCKh06dP08iRI6lKlSoEgFxcXOjvv/9WaPE3wzB09+5dmjlzJtnb2xMAatCgAc2bN4+eP39e6rNEeS+ICxcuFPhN3ahaT/n70MyZM6lt27alBmmqpqQ2icViOnv2LI0aNYrMzMwIAHXo0IHWr19f6ktNm3rSBvLYU2JiIq1fv56cnZ0JAJmZmdHo0aPp7NmzxQYtFc3nEem+33vx4gXNmzePGjRoQADI3t6eZs6cSffu3VOoL8fHx9OGDRvIxcWFAFCVKlXo22+/pdOnT5d4Jr22bUkdiXtEuunzvjYqA0rSbIfw9vYmFotFe/fulf1WERxrfqKjo+nx48dEVHrbPn/+TPv376f+/fuTnp4e6enpUf/+/Wnfvn30+fPnUutZvHgxOTk5EQCytramSZMm0c2bN8tFsKEOPUnbHRISQo0aNZKNVqnzLNv8fNkmhmEoIiKCZsyYQXZ2dgSAGjZsSPPnz6cXL15oRKbyjjz29OLFC/L396eGDRsSALKzs6MZM2ZQREREAZuoaD6PqPz4PYZh6MaNGzRp0iSysrIiAOTk5ERLliwpdb1iZmYm7du3j/r160ccDof09PRowIABtH///lL9pa6grt0tdMXnfc1UBpSk+Q7RpUsXat26NcXFxakl8CmvHTw+Pp7+/vtv6tixIwEgU1NTGjlyZIEv7qSkJNqyZQu5ubkRADIxMSE/Pz86depUsYkAuoo69ZSSkkK2trYUGhqq8rJLQtqm48eP06JFi6hJkyayYH/KlCkUHh5eLoL98g7DMBQeHk6TJ08ma2trAkBNmzalRYsW0evXryuczyMqn34vNzeXTp06RX5+fmRsbEwAyM3NjbZs2UJJSUlElLesITQ0lEaOHEmmpqYEgDp27EgbN24sdZpdF1GXnrTt88pTv1MXlQElaadDtGjRosj918Risc5keUtPttDUl15+oqKi6M8//yRHR0cCQBYWFlS/fn3icDjEYrGob9++tHfv3kL7jqkbhmFkwa1QKFSqLHX1O4ZhSCgUUp06dWj9+vUqLbskEhMT6ddffyUAsmCfy+VSSEhIiVNw6oBhGJJIJLJ/2ia/LJoOqHNzcyk4OJi4XC6ZmJgQAGrVqhUBoHPnzmlMjuJ8HpFqplxVYU9Sm5ZmPWuSjIwM2rt3L/Xp04fYbDbp6elR/fr1ycLCggCQo6Mj/Y+9845r8vr++CcJS5aLad0KuOtGBdwLB6BWERJXbdVqnbXV+q3b2rqt27ai1YThxgUu3AMUxYUDEEQrG9kISZ7z+4NfUhEQkjwZIO/Xi1drnnHPk/Ock3PvPefelStXUkxMjEblIvrvN0D2m6AKbOjpY5vWls8jqg4oP0S3S+uqMA8ePED79u2L7fVKRJBIJBg5ciQePXqkRemA4OBg1KpVC7///rtWKjAbN26MHj16oHv37jAxMUFmZibi4+MhlUrRtGlT+TFTU1ONysXhcJCTkwMXFxd06tQJ6enpGm3/Y86ePQuGYYq9RxwOBwYGBpg1axbc3NzU2n5+fj4OHjwINzc32NjYYN26dQCAlStXIikpCUKhEIMHD4aenmYXlOBwOIiOjkajRo0wduxYSKVSjbb/IVKpFJ6enmjcuDFiYmI0vvOIvr4+XF1dIRQK5TqR7ZAyaNAguLm54eDBg8jPz1erHKX5PBlbtmzB2rVr1dp+eaSlpaFjx47o2bMnsrOzNa4nU1NTdO/eHT169EDjxo0hkUgQHx+PzMxMmJiYyI81atRIo3IBRVXuv/32G2rVqoWzZ89qvP0Pef78OZKTkyGRSOSfadLnVfMJtBvP6ga61MPIzs6mDh06kI2NDUVFRSl1D1Wf5/r161SjRg0aNmyYRqeRyyuuEYvFrBbzqEJkZCRZWFiQo6Oj0qOkqupp165dBIAOHjxY6nF1jbB8qrjm/PnzOmNLRESBgYHE4/Fo8uTJWplqZxiGJk+eTDwej06cOKHx9stC9u79+OOPChXzqIvFixcTANq9e7fS91DFnrKysqhr165kYWFBT58+VVoGZSivuOb58+esFvMoS2FhIQ0dOpSMjY3pxo0bSt9HFT1FRUWRtbU1DRkypNR3VBs2rkvxg7apDihJ916IpKQksre3p8aNG9ObN28Uvl6V57l//z7VrFmTevXqVaHlR9hAmeIaVYp52OLu3btkZmZG/fr1U6qyUBU9+fn5EYfDoZkzZ2rEiVa0uEbXbImI6MCBAwSA5s+fr9EfHIZh6IcffiAAxQpSdIGP9VTRYh51wTAMzZw5kzgcDvn7+yt1D2Xfvfz8fOrbty+ZmZnR3bt3lWpbUZQprlGlmIct8vLyqGfPnlSzZk2KiIhQ6h7K6unNmzfUqFEjcnBw0KltVXXR52mL6oCSdPOFePXqFTVo0IBatWpFqampCl2r7PO8ePGCrKysqFOnTpSZmanQtYrCZnFNRYp51MXly5fJyMiIPDw8FG5LWT2dPn2a9PT0aPz48WrPD3z58qVCxTW6aEtERFu3biUAtHr1ao21+euvvxIA2rZtm8barChl6am8Yh51IpVKady4caSnpyffC1sRlHn3xGIxeXh4kJGRkdp3umGzuKYixTzqIjMzkzp27EjW1tZKrdSgjJ5SUlKoZcuW1LBhQ4qPj1e4TXWiqz5PG1QHlKS7L8Tz58/J0tKSunTpQllZWRW+Tpnnef36NTVs2JBatGihtsrBvLw8OnjwILm7u5O+vj5xuVwaNGgQq8U1smIe2QK/1tbWNHv2bLpz547aRlpOnjxJenp6NHHiRIUCPGX0dPXqVTIyMiJ3d3e1Bcupqam0Y8cOcnJyUri4RldtiYhoxYoVBIB27Nih9rZ27NhBAD65LqE2qYieSivmcXJyop07dyrcya0ohYWF5ObmRjVq1KCrV68qdK2i755UKqUJEyaQnp4enTp1Shlxy4VhGAoLC6PZs2eTtbW1vLiGzQ0dPi7m0dfXJ3d3dzp48KDaZpmSk5OpRYsW1KhRI3r9+rVC1yqqp8zMTOrcuTNZWVmVu66wNtBln6dpqgNK+q9yVxeXM7l37x6Zm5tTnz59KjytqugLropzKI/Sdq7p0qUL/fHHH5SYmMhqWx/CMAzduXOH5syZI3fk6tiZR4ZIJCIOh0Nz5syp8HukqJ7Cw8PJ3Nyc+vbty/rivR/vXMPj8cjV1ZWEQqFCwb4u2xLDMDR37lzicDjk6+urtnZk78K8efN08nsgUlxP2dnZJBQKafDgwcTj8RTemUcR8vPzqU+fPmRubk737t2r8HWK2BPDMDR79my1vQsxMTHFdq6xtramOXPmqLVjS0SUkJBAmzdvpi5duhAAte3MQ0QUHx9PDRs2pJYtWyo0CKGInvLy8qh3795Us2bNMlcI0Da67PM0TXVAWQm4du0a1ahRg9zc3MqdDs55L6bDF2+Tga09Hb54m3Lef3pEKTMzkzp16qT09EVpqLJzjTrQVDGPbFRq+fLl5Z6rqJ6ePXtGlpaW1LVrV4VGqz+FKjvXVFakUilNnDhRbaNSJ0+eJB6PR5MmTaqyPzCJiYkK78yjKFlZWdSlSxeytLSkZ8+elXu+ova0bNkyAkA7d+5kRV4i5XeuUReaKOZRNE1KET0VFhbS8OHDqUaNGnT9+nVW5K1GvXCISlnDoRqdIygoCG5ubhg7diz++eefYkv5RCVlQxQaj0vPkxGfnocPFcoB0LCOMfo4WIHv2BB21mbyY/n5+Rg8eDAePHiAK1eu4Msvv1RJxri4OPj6+kIkEiEyMhKWlpbw9PSEQCBA165dNb4MR2nk5eXhxIkTEAqF8uUvBg0aBD6fD3d3dxgbG6t0/9WrV+N///sf/vjjD8yaNavYMWX1FB8fD2dnZ5ibm+PKlSuoW7eu0vIREe7fvw+RSAQ/Pz8kJCSgefPmEAgE8Pb2hp2dndL3rixIJBLs2LEDzZo1Q9++fVGjRg1W7pufn4+QkBDExMRg+vTpGl8qSRtERUVBJBJBJBIhOjoatra28PLyAp/PR4cOHVSy+bS0NPkSPtevX0fDhg2Lt62kPf3xxx+YM2cOVq9ejZ9//llp+QAgNze3mD/hcDgYPHgw+Hw+3NzcVPYnbEBECA0NhUgkgr+/P1JTU9GqVSu5zau6DFFERAR69+6N9u3bIygoqIQ9KaMnhmEwYcIEBAQE4MSJExg8eLBKMlajGaoDykpEQEAAvLy8MGPGDGzZsgVv3uVj0bFHuBadCh6XAylTtiplx12aW2D1iLawMdPHiBEjEBISgvPnz8PJyUkpmdLT03Ho0CEIhUJcv34dxsbG8PDwAJ/Px4ABA6Cvr6/s46qdlJQUHDx4ECKRCLdu3YKJiQlGjhwJgUCAvn37KhUQEBF+/PFHbNiwAf/88w/Gjx+P1+l5SuvJUFK05qVYLMb169dRr149pZ41NjYWvr6+EAqFePbsGSwtLeU//F26dNGJYF/TSKVS8Hg8Vu8pkUg+i0DyY4gId+7cgVAohL+/P1JSUtCyZUvw+Xx4e3ujSZMmSt3333//hbOzMwwMDHDt2jVYWVmpZE8hJw9h4sSJmD9/PtauXavUey+RSHDx4kWIRCIcPXoUubm56N69OwQCAcaMGQMLCwulnlUTiMVinD9/HiKRCMeOHUN+fj6cnZ0hEAgwevRo1KlTR6n73rhxAwMGDEC/fv1w9OhR6OvrK62nXz3aYO3SBdixYwf8/f0xZswYZR+3Gg1THVBWMv78809MnToVY/+3Bfc4zSFh6JOG+jE8Lgd6XA7qJ93CtX2/4+TJkxg0aJBCMuTn5+PUqVMQiUQ4c+YMpFIpBgwYAIFAAA8PD40vNs4GMTEx8oDrxYsXsLa2xtixYyEQCNCpUyeFfniICN9++y327duH+TuP4li8vtJ64kUcwbu7p3H9+nU0a9ZMoWdKS0uTB8w3btyAsbExRowYAYFAgP79+3+WgU816kcsFuPChQvyoCUvLw9OTk7yoEXREfaYmBg4OzvD1tYWMzf74ffzL5WyJy4xSAraDs/O9fHnn38qbNN3796Vj/IlJSXBwcFBHjArapu6QE5ODo4fPw6hUIjz58+Dx+NhyJAh4PP5GDZsmMIj98HBwXBzc8Po0aMxbNZqLDsVqZSewEiQfGY7Nn7/Fb799ltFH6saLVIdUFZCxiz3Qdh7axTtcKfEyBIRwOFgsG0hds0aUaFLpFIpLl++DJFIhCNHjiArKwtdunSBQCCAp6cnrK2tFZdDByEihIeHy6eEk5KSYG9vL58equgPh1QqRc/vVuPfuh1VEQbgcCBoVxOrvJwrdEl+fj5OnjwJoVCIoKAgEBEGDhwon9KvjMG+ttm7dy+GDh0KKysrbYtS6cjJyUFgYKA8aOFyuRg8eDAEAgGGDx9e4aDl4cOHGDh3A4y6Kj9aRUTgcDiY198Os/rZV+iamJgY+ZS+rKMpG9lXtKOpyyQmJiIgIAAikQh37tyBubk5Ro0aBYFAgF69elV4JP/gwYOY8sdR1Oo5TmlZZHqaP9Ae3/ep+ik4VYnqgFKHWLt2LXx8fBAZGVnmdof+d+Kx8Ch72zKuGdkWnl0alnosKCgIo0aNwsSJExEYGIi3b9+iWbNm4PP54PP5sLevmFOurEgkEoSEhEAoFOLYsWPIyclBt27dYG1tjSdPnuD58+c6oadHjx6hffv2GDZsGC5duoTs7Gw4OjqCz+fD09OzOhBSEQ8PD9jY2GDXrl3aFqVSk5SUhIMHD0IoFCIsLAxmZmawt7dHcnIyYmJiPpkeoyl7ioyMRLt27fDTTz/h0qVLuH37NkxNTTFy5Ejw+XylU2EqEy9evJAH0TExMahXrx6aNWuG169fIzo6+pPBpab1FBERgTZt2rDWXjWqUR1Q6ghZWVlo0qQJ1q9fj0mTJhU7duLECSxbtgyRkZGQGprDpG1/1HQaCw5X8fwvRvweuQ8vIC8qFOKUODDi92jlYIcZ303DlClTwOPxShTX1KhRA5MnT9ap4hpNIyvm2bt3L86dOwculwtXV1f5yN/Jkydx8uRJhIaGIjo6GjUatoWV929Kt0fEIPdRCPJe3ERh0ksw77Nh16wpxvG9MX/+fBgaGpYorjExMcGPP/742RTXqBsiQkZGBrp27YqFCxdi8uTJ2hapyhAVFQUfHx+sXbsWDMPIi3mGDh2Ku3fv4tSpU3j69CnEYjGaNrdHYsO+MHBwUaqt0mxJv5YNZn0zASuX/AwjI6NixTVnzpwBh8PB0KFDdaq4RtPIinn27t2Lv/76C0RUrJhn8+bNuHLlCuLi4vD+/Xt8Ub8h0m06waTLCHANFC90q4iePsTd3R08Hg9Hjx5l65GrUZHqgFJH2Lx5M5YuXYqkpKRihhMUFIShQ4eid+/eyGvgiKeRT5AVfhqm7Qeh7qAZCrdTmBKHhD0zYdT4Sxg16QA9QxPUSHqE1/evoFu3btDT08P169dRo0YNjBgxArVq1cK+ffuQmJgIMzOz8huo4mzevBlLlizBihUrcPDgQXkxj6mpKbKysuDo6IibYffAtWgEaxUCSqYwH683joZBPQcYN+8KPZNaqJkVi9hbZ9CoUSMYGBjg+fPnsLS0xNixY9G0aVPMnTsX0dHRlTKfS1eJj49H586dcfjwYfTs2VM+HVeN6sh83qlTp3Do0CF5MQ8AtGzZEl999RWsra2xctteJD0LR00nL9Ry4Svczse2xDWuicK3z5H76CLatm2Ddu3a4dixY/Limg4dOmDHjh3VtvT/yPT0zz//4ODBgzh+/Djy8/Nhbm6OTp06YeDAgahbty7W+wYj6tpJGNjawZr/Ozic0mdvyuJTeurVqydCQkKK2V5QUBCGDBlSrScd4rMLKHfs2IGjR4+iTp06mDp1Kvr16yc/lpqaiq5du+Lly5cal+vLL79Eu3btcODAgWKft27dGvr6+vA7fQmu224CAN5dPYCsmwdR79sd0K/bQKF2pHmZkOZmwMCy+FIRbzaPhfR9DpydnTF16lR5cU1ycjLq1auHP//8E19//bVqD1kOV65cQZ8+fcDhcFDaa9mnTx9cvHgRs2fPxo0bN/D48WO0atUK9+7dU6tcH/KxnmTFPHv37kVsbCxs7NsjLT0d3BrmsOH/rnQ7JBWjICEaRvVbFvv89R/eYPKz0LdvX8yfPx/9+/eHvr4+xGIxrK2t8f3332PFihUqPaMi6Ko9qQrDMOByufDz88Pvv/+OBw8elDhWmdBFPX1sS2KxGEKhEIGBgTh//jzy8vLQdYAbEjt+i2T//+H9m6doMNsPXAOjcu5cnLJsKeO6HzKvi1C/fn1MmTJFniOtSVuqjD4vOzsbx48fh0gkkhfz9PXwxrNmo5EVehTvLvnAZtx6GH7RQqF2ytPT+fPn0b9/f/nn1T5P96hcXlFFtmzZgh9//BEtWrSAoaEhhgwZgt9++28USSqV4tWrVxqXKzY2Fg8fPixmLEBRnkhkZCSmTJmCgPC3RRVwAMw6DAFAyH12Q+G2eMY1SwSTYKToPHIKAOCnn36CQCCQF29YWVmhXbt2CAwMVPzBFMTJyQmJiYlISEhAYmKi/G/37t3gcrmYMaNoRJbD4WDy5MkYO3as2mX6kNL01KxZMyxevBgxMTG4c+cOWrpNYaUtDk+/hGMFMRg4bRmAorw+V1dXed6Zvr4+evfurRE9ydBVe1IVIpIHjJGRkSAixMXF4ciRI/Dx8cH06dMxf/58LUtZcXRRT6XZkr6+PiZNmoTjx48jKSkJQqEQhQ0dAWJQw647IBVDkpGocFul2hIAE3tHAMCPP/6IxYsXy0e5NGlLldHnmZmZYdy4cQgODsa///6LdevW4ZVBQxAjBa9mUXEmU5CrcFtl6cmsRQ8AwNOnT4t9Xu3zdI+qnV38Ebt378Zff/0Fb29vAMB3330HDw8P5Ofna7SH8zE3bxaNPHbsWLwi+P79+wCAzp0748cryfLlF/TM6oJnZgFxEku9IC4P6YVF/1vaGmqdOnXC8ePH2WnrE+jp6ZUoIHn69Cnmz5+P//3vfxg5ciSAoikYAEhOTsbDhw/VLpeMsvQEFDn8zp07Q3opW30CcLj4N0cCoGw9BQYGIisrC+bm5uqT4//RVXtShQ+ntENDQ3HmzBk8fvwYnp6eSEhIQO3atdGlSxfEx8cjOjoazZs317LE5aOLevqULQGAqakp+Hw+/nx7Ce/S8yDNfQcA4Bqz915LcjMBAJaWliWOacqWKrPPA4r8EJ/Ph1/KJaRHP0DGtQPgGNSAgS17BZuF2enytj6m2ufpFp9VQBkbG4sePXrI/92jRw+EhISgf//+EIvFmDNnjlbkevbsGQCUWPw3ISEBAGBexxLx6SnFjvFMa0OSk8ZK+yQVI+7yYTRu3ARdunQpcbxp06ZITU1FcnKyRiuGMzMz4e7ujr59+2L58uUaa7csytKTjJwCCeLT89QqQ9R5X5ibm8PV1bXEsaZNm4JhGDx79gxdu3ZVqxyA7tqTsnwYTJ4/fx7bt28Hl8vFwYMHYW9vj7Zt26KgoABGRkaIiorCmjVr0KBBAyxZskTLkn8aXdRTebYE/GdP0vxs5Dw4B8P6raFnqtzC26WRFXoEHENj9Ow7oMQxTduSjMrm8+7evYvu3bvL/61Xpz6sRi0GrwZ7+fa6pCddtCVd4rMKKC0sLPD69Ws0btxY/lmbNm0QEhKCvn374u3bt1qRKy0tDXp6eiXWCMzPzwcAJOdJ8XF2DYdnAKaQneAl/dwuiFPj4T1vY6m93+zsolG3q1evomnTpiq317x583J7k0QELy8vGBoaQigUqtReXFwc0tPTVboHUORceTweXrx4Uerx2AxxCT2xSebNg3gfF4Fxs38sNUcnLa2og3H79m1Wlzaxt7cvdf1KNuyJYRhERESwJmtZfPnll+ByuZ8sqJEdCwwMxJ49e5CQkIDt27cX+6GSpRjUrl0bLi4uWLJkCQoLC7Fq1aoy70tEePz4McRiMUtPUzrt27cvNbeTDT3l5OSU+d4rQ3m2BBTZE0MMUk+uB1OQgzoDprLWvsyW6gycjttPYtDk3/hix9m2pTp16hT7/kuDTZ+XlZWF6Ohole4BlK+nwsJCLFm7BTtvJ6Pg36d4HxcBRvxe5XZlfKinDKk+vvjoeO3atQEU5S5qAl2NIXSFzyqgdHZ2xtGjR+HiUnz5iVatWuHixYvo06ePliQrHdmiv7l5+SWOkbQQHD0DldvIDD2CnAdnUdNFgPVbd2H1onllnjt69GiV2wOAc+fOYcCAkr3ND/n5558RGhqKO3fuwMTERKX2li5div3796t0jw/p1KlTqZ8b2NrDdsJG1tr5kNynV5Fx9QBM2w3EPwcD8dcf68o8d/bs2ay2fe3aNTg7l1xYnQ17kkgkZX6fbFG/fn3ExcVVqDr77du3WLduHd6/f4/9+/ejVatW8pFLIpKvwWdhYYHx48fD3t4ebm5uaNeuXalbxBER8vLy0K5dO9af62MKCgpgYFDSJ7Chp4iIiBLXs8GndG9gaw8DWzu8fxmOusPmwcBa9c4sUNyWzDoOgbdgPAoTSg+Y2LKlcePGleuD2PR5YWFh5fpYRShPT7YTNsLYvhtyn1xGypFVsJ24WWV9faynQglT4hxZIZOmVl6obDGEpvmsAsqFCxciPDy81GOtW7fGpUuXcOTIEQ1LBdStWxcSiQTZ2dnFluaxtbUFAGSmpZS4RprzDoYq5qnkPLyAjEv7YNrBFbWcxmLPsu/RpFbJxYV9fHywfft2XLhwQd4jVIXy8s78/f2xceNGnDlzhpUR0eXLl7Pyw7Bjxw7s2bMHV69eLdXhx2aI8cN59nvK+bH3kXpqI2o064w6g2dg4yDrUvUUFBSEX375Bfv370fr1q1Za7+sBezZsCc9Pb0y78EWderUqfBOH/Xq1cPixYthZ2cnf/dkP1ay/+7ZswcTJ04Ej8dDt27d4ObmhmvXrmHMmDEllhXicDgwNjZW+zMCKHMkjQ09tW/fntVnKM+WAGDNlp04+M/fqNV7Ikzb9GWl3Y9tCQB8hftL2BPbtlTeHtls+7yuXbuyoq+K6OlDv2fs0AM4tRG5T6+qFFCWpicDvZKj7+/eFeXWamr/dF2NIXSFzyqgnDt3rrxqrjSsra2xb98+jedEtWhRtLxCbGxssZGM9u3bAwASYp6Ag6by6VRJdhqk2anQb6/YHtwfkvfiNtKCtsDYoTvqDPwOHACDnTrBxLDkK7Fz505YWFgUWx5BXUREROCbb77BmjVrSlS9K0vjxo3LnW6qCH369MGePXtQs2bNUkecHAokmH/+rMrtfEjB2+dIOforDG3sYOGxEFwur0w9BQUFgcvlws3NDTVr1mRVjtJgw564XG6ZCf/a4uO97dPT0+UBgVgsxpkzZ7B7926EhYXh+fPnePnypTzoKG2khMPhaPUZ2dCTqakpq89Qni1t374dB//5G+ad3VGz21estPmxLXG4vDL9niZtSR0+z9zcnBV9lacn4D+/RwBIIgaIAVOgfDpWWXpqXLeUTnxsLLhcrsZ2bdPVGEJX+KyWDbp06RLGjBmDpUuXlnpcWyX/sqTmu3fvFvu8devWaNGiBf7x2YMGtQzln+fcPwOAAxOHiu3v/DHv4x8j9cRaGDZoA4vhP4LD4aImT4y8rHelnh8eHl4s8VpdpKWlwcPDA3369IG3tzeSkpKK/cnyZGJiYhAREYGEhATk5+fjwYMHePDgASQSiVrlK0tPQNHUy/MnD2FM7BXliFNfI/nQcujVtILl6KXg6huijoEUHGlhqeeHh4ejdevWGgkmAd21JzYJDQ1FQEAAcnJyABTlUO7cuRPv3r2Do6Mj3NzckJ6erhH7UBZd1NOnbCkgIACzZs2Ck5MTLJ3ZSbMpzZYAwMaUB2ODkqPXmrKlyurzMjIyIBaLkZycDJ8/d4KbV5SjnvOgqENtaKPc6gdl6alhXeNSO9HVPk+3+KxGKIGi0bb58+fj4cOHEAqFKueqsEHTpk3Rpk0bXLhwocTi4evWrYObmxsa0y/I/aIrCpLjkH3vNEy/HAh9i/8WNZdkJOHfXZNh0qYfLIbNLbMtSWYyko+sBMCBSQsn5D67DoBBWtwDWK8eCScnJ3z33Xdwd3eHiYmJfJmKT/XK2OL06dN4/fo1Xr9+jXr16pU43qhRI7x8+RLffPMNrl69Kv9c1hOPjY1Fw4al73fNBqXpKTY2Fr6+vvjrr7/w6tUrmDl0hzQvE4y4ABk3/AEARg3awKjhf/vNvvp9GAwbtPnkwudMQR6SDi4B8z4H5o4jkR99ByAGKXERqLNmDPr06YO5c+fK9xYWi8W4cuUKpk+frrbnLw1dtCc2SUtLg4+PD7p164YOHToAKFqbtXfv3uBwOPj2229RUFBQao6pLqFreirNliQSCXbs2IG5c+eCYRjcuHED9cgKhXWagFA08mtYvyX0a9nI76O0LQEAMXgYF4Emf03Dt99+C29vbzRp0kSjtlQZfV5ubi5WrFiBnTt3oqCgABwOB/UchyA9PR15z2/BwMYOJm2K5xKqoicuF6jbzAK3bhkV67hV+zzd47PaKYfL5SIxMRFpaWlwd3eHoaEhAgMD5TkrSUlJqFevHqRSqcZl27RpE5YsWYLk5GR5MY6M48ePY9HipXj69Cl4xjVh2rYfajp5gcP7rz9QtKXi9zDv9hVq955YZjvvXz1Ekt+iMo/Xr18fb968gYmJiXzrRR8fn+qtF/+fTZs2YfHixfj1119x6NAh3LhxA8bGxmjWrBkePXpU6jUfbhkn217MuGVPWLr/VGY7sg5CWZibmyMrKwvW1tbyrRdnz56NqKgoja2NqMv2xCYCgQCPHj1CcHCwPK954sSJqFu3LjZs2CA/T1e3ZdRVPcl83pkzZ3DkyBH4+/sjKSnpk9fUHTIHpu2KpoXZsqWmTZsiMTEReXl5cHJyQocOHbBt2zaN2pIuI9OTUCjEoUOHcPz4ceTm5sLS0hJEhNzcXDBEYEytYOzgBHPHUcV2M2JLTxMmTMC+ffvk/w4ODoarq2u1z9MhPsuA0srKCpmZmfDy8pJPafXv31+rL0NmZiaaNm2KtWvXYvLk0o1q3J5Q3HyZJl/g/EOy753Gu0t78cW0v8AzqXjhDI/LQY+mdXFgsqP8s5cvX8LX1xcikQjPnj1DjRo18O2334LP56NLly46+aOpbvLz83Hy5Ens3bsXwcHB4HA4GDx4MPh8Ptzd3Ystq/MpPeXH3EHyoRWw/XorDKwaV7j9j/VERAgPD4dIJIKfnx+SkpJgYmKCBQsWyLeQUze6bE9sM2zYMGRkZKBx48YgIvj5+SEgIIC1lQ/UiS7qKSYmBnv27MGaNWvAMAysra3h5eUFPp+PTp06FfMxZdmTsrYElLSnnJwcBAYGQigUyu172LBhEAgEGD58eIlO/ucAEeHOnTvw8fHBn3/+CSJCixYtIBAI5KO5H6IJPX2Ih4cHOBwOjh07pvCzKYsu2pIu8dkGlECRwfz888/YuHEj1qxZA29vb62+DGvWrMHevXsRGRlZ6npyr9Pz0H/TFRSUsnxCyrHfoFenHmr3mqBQm4Z6XFyY2wsN6hiXOBYUFIRRo0Zh/PjxCAwMRGJiIuzs7MDn88Hn86t8710qleLSpUsQiUQ4cuQIsrOz4ejoCCsrKzx9+hTPnz9XWE/vQnwgyUmDpduPCsnyKT09evQI7du3x5AhQ3D58mXk5OSge/fu4PP5GDNmTKk7gbCBrtsT22zevBkPHjzAmzdvtLINnrLoip5SUlJw8OBBCIVC3L59G6amprC3t0dycjJiYmJKXfIIKNuelLUloGx7evr0Kdq2bYsff/wRISEhCAsLg5mZGUaNGgU+n48+ffpUeMWAykp0dDREIhFEIhGioqJgY2OD5s2b4/Xr14iJiSnz+f/TkxTAfx0CdeopIiICbdq0KeNq9tEVW9JVPquAksfjISEhocRuL/7+/vjmm2/Qp08fnDlzRqdfBv878Vh4tPSpVWVYM7ItPLuUn4MjlUoREhIiD65ycnLg6OgIgUAAT09PtQUtmoaIcP/+ffnIX0JCApo3by7vldvZ2VXoPr6hcVh0/AlrclVUT3l5eThx4gSEQiHOni1KkB80aJB8JNXYuGRAqixVwZ6UIT8/v1KNWGlTT3l5eQgMDIRIJCr2PgoEAri5uVX4fdxw/Ba2hqq+OYGMitpTVFSUPLiKjo6Gra0tvLy8IBAI0L59+yozW5OcnIyAgACIRCKEhobC1NQUo0aNgkAgUCiI/nHXMRx6pfr6yDIqqidN8bn6vIryWQWUH/cuPiQiIgIeHh54/fq1Tr8Mf//9N37wOY/avcarfK+s6yIELJmk8AK4eXl5OHnypHx6iIiKBS2VMUlZVlwjEonw9OlTWFpaYuzYsRAIBApP8xMRpk6dioNPslCr5ziVZZPcO4arOxcpvD6dbERIJBLh1q1bMDU1xYgRIyAQCOTFPKpQFexJGXQ1V7IsNK0niUSCixcvQiQS4ejRo8jNzVVpxPzly5dwdnaGefcxeG+vymLdBIADu7ynOLf5B4VtOiwsDCKRCP7+/khJSUHLli3B5/NLnf6tDOTm5sqn+c+dOwcOhwNXV1fw+XwMHz5c4c7nuXPnMGzYMDh+vRSva7dXQbIiPfWpk429P+rWLMDn6vMqymcVUF65cgVOTk5l/pCmpaXh9OnTGD9e9WBNHRw6dAienp747rvv4DxhAZadfAIJQ6Xm6pUFj8uBHpeDJUNaQLRyBq5cuYILFy4ovexJamoqDh06BKFQiJs3b8qLefh8Pvr378/qFoBsk5aWJg+4ZMU1H8ou22ZPURYsWIC1a9di7969MGrdF0tPKK+n+b0bYO20EWAYBtevX5cXhShKTEwMfH19IRQK8eLFC3kxj0AgKJGzVlEqsz0RERiGYX36UiqVlrvFo6bRhJ6ICHfv3pUHXElJSXBwcJAHXMrm9L59+xbOzs7Q09PDtWvXcCm+QCV7Glg3A9vmemPBggX4/feyK44/hVgsxoULFyASiXDs2DF5MY9AIMDo0aNRt25dpe6rCSQSCS5cuAChUCgvrunRo4dcdmUXCL958yYGDBiA3r174/jx4zgSkaCSnuyzInBm2y8ICAjAV1+xsw4pG1Rmn6cJPquAsjITHBwMNzc3jB49GgcOHACXy8Xr9DwsOvYI16JTweNyPmm4suMuzS2wekRbNKhjjLy8PAwePBiPHj3ClStXVN4e7uNiHisrK4wdO1aninlkxTVCoRBBQUEgIgwcOLDU4hpl+P333/Hzzz9j06ZNmDNnDgCorKdXr17ByckJtWvXxpUrV8rddeNTlFbMY29vL5/S10Qxj7aRSqXYtWsXmjZtit69e7M2fZ2fn4/Lly/j5cuXmDZtWpXPtQOKOiqyKWFZR6Ws4hpFSUtLQ69evZCZmYnr16+jUaNGAFS3p02bNmHevHn4/fffsWDBAqXlA4oX85w/fx5cLheDBw/WqWIeWXGNLNhPTk7+ZHGNojx8+BC9evVC27ZtERwcLB/ZVEVPX9QygkAgwOHDh3Hy5MkSmw1Uo5tUB5SVgBs3bmDAgAHo168fjh49WmLkLCopG6LQeFx6kYz4tDx8qFAOihaF7WNvBUG3hmhuVXzpn8zMTPTp0wdv377F9evXWSm0keUhCoVC+Pn5ab2Yp6ziGj6fD09Pz1KnL5Rh165d+O6777BkyRIsX768xHFV9PT06VP07NkTzZo1w4ULF1QOfIGi0YqQkBAIhUIcO3ZMY8U82oSI8O2332Lfvn04duwYhg8fzur9T5w4gZEjR2LixIn466+/dKITxTalFdeMHDkSfD6flVQKoChQ69evH16+fIlr167JdxP7EFXsacmSJVi5ciV27dqFqVOnqiwvULRkjOx70YVintKKa2T5nx06dGDl3YyKioKLiwu++OILhISElLrAuLJ6EovFGDFiBC5duoTz58+jR48eKstbjZqhaohhGJJKpcQwjLZFKUFERATVrFmTevXqRXl5eeWen/NeTIcv3iYDW3s6fPE25bwXl3tNUlIS2dvbU+PGjenNmzdsiC1HIpHQuXPnaMKECWRqakoAyNHRkbZu3UrJycmstvUhDMNQeHg4zZs3j2xtbQkANW/enJYtW0ZRUVGst+fn50ccDodmzpxZofdIGT3dvXuXzMzMqF+/fvT+/Xs2xJaTm5tLfn5+NHToUNLT0yM9PT0aOnQo+fr6Um5uboXvo8u2xDAM/fDDDwSADhw4oLZ2Dhw4QABo/vz5Ovk9ECmup9zcXPL19S3xfvj5+Sn0flSE/Px86tevH5mZmdHdu3crdI2i9sQwDM2cOZM4HA75+/uzIXYxXrx4QUuXLqXmzZsTALK1taV58+bRvXv31PpOJCUl0ZYtW8jR0ZEAkKmpKU2YMIHOnz9PEomE1bbevHlDjRo1IgcHhwr7ckX1lJeXRz179qRatWrRgwcP2BCbdXTZ52ma6oCSiMLDwwkAhYeHa1uUYrx48YKsrKyoU6dOlJmZWeHrlHmeV69eUYMGDahVq1aUmpqqjLjlkpubS/7+/jRs2DDS09MjHo9HQ4YMIZFIRDk5Oay08fLlS1q1ahW1bNmSAJClpSXNnDmTQkND1Wbwp0+fJj09PRo/fjxJpdIKX6eMni5fvkxGRkY0YsQIEovLD0KVITk5mbZt20bdu3eX/yiNGzeOzp49W26bumpLRESrVq0iALRt2za1t7V161YCQL/++qva21KGiuhJLBZTcHAwjRs3jkxMTAgAde/enbZt26a2zqBYLCYPDw8yMjKiK1euKHStou+eVCqlcePGkZ6eHp05c0YZccuFYRi6ffs2zZw5kywtLQkAtWzZklatWkUvX75kpY2cnBwSiUTk6upKPB6P9PT0aPjw4eTv7896sC8jJSWFWrZsSQ0bNqT4+HiFrlVUT5mZmdSxY0eytramFy9eKCOuWtFln6dpqgNK0s0X4vXr19SwYUNq0aIFpaSkKHStss/z/PlzsrS0pC5dulBWVpZC1ypKSkoK7dixg3r06EEAyMTEhAQCAQUFBSkcKKWmptKOHTvIycmJAJCxsTHx+Xw6c+YMFRYWqukJirh69SoZGRmRu7u7wnIrq6eTJ0+Snp4eTZw4UaEAVhmio6NpxYoVZG9vTwDI2tqaZs+eTXfu3Ck1QNdFWyIi2rZtGwGglStXaqzNFStWEADasWOHxtqsKGXpiWEYCgsLo9mzZ5O1tTUBIAcHB1qxYgVFR0erVSapVEoTJkwgPT09OnXqlMLXK/PuFRYWkpubG9WoUYOuXr2qcJuKUFhYSGfOnCE+n0/GxsYEgJycnGjnzp0Kd+LFYjEFBQURn8+XB/s9evSgHTt2KPx7oSiZmZnUuXNnsrKyoufPnyt8vTJ6Sk5OphYtWlCjRo3o9evXCrepTnTV52mD6oCSdO+FUNV4VHmee/fukbm5OfXp04fy8/MVvl4ZYmJiaOXKldSiRQsCQFZWVjRr1iwKCwsrc1QxLy+PAgICaPjw4fLRTldXVxIKhZSdna0RucPDw8nc3Jz69u2r1Helip5EIhFxOByaM2eORqZaGIahO3fu0Jw5c+SBhr29Pa1YsYJiYmLk5+maLRERCYVCAkDz5s3T6LQUwzA0d+5c4nA4JBKJNNZuRfhYT9HR0bR8+fJiHYc5c+aU2XFgG4ZhaPbs2cThcMjX11epeyj77uXn51OfPn3I3Nyc7t27p1TbipKdnU1CoZAGDx5MPB6P9PX1yc3NjQICAspMbWIYhkJDQ2nWrFlkZWVFAKhFixasjnaWR15eHvXu3Ztq1qxJ9+/fV+oeyuopPj6eGjZsSC1btlR70KwIuujztEV1QEm69UJIJBIaMmSISsP7qj7PtWvXqEaNGuTm5qb2Eb4PkeU9zp07l2xsbAgA2dnZ0fLlyyk6OpokEgmdP3+eJk6cSGZmZvJ8zC1btlBSUpLG5CQievbsGVlaWlLXrl2VHs1VVU87duwgALR8+XKlrlcWsVhMZ8+epXHjxsnzYmVToRcuXNAZWyIqGs3l8Xj09ddfayXHiWEYmjRpktKjbupC9u4tWLCAunXrJk9tGD9+fIVSG9jm0KFDBIB27typ9D1UsaesrCzq0qULWVpa0rNnz5SWQRkSExNpy5Yt1LVrVwJAZmZmNHHiRHneY1RUFC1btozs7OwIANnY2NDcuXMpPDxco+90YWEhDR8+nGrUqEHXr19X+j6q6OnDNDC20qRURZfiB21THVCSbr0QYrGY3r59S5GRkUrfg43nOXPmDBkYGNBvv/2mlR/iD4t5ZNND+vr6BICaNGlCy5Yt01o+zbt378jZ2VnlfFM29PTrr7/Spk2blL5eVT4u5uHxePLcQXXlb1WUFy9eUP369WnUqFGsFyQoglgsppEjR1L9+vW1ngMmK65xdnYmAMTj8dRWXFNRZEUNp0+fVuk+qtpTamoqtWrVipydnendu3cqyaIssmKeJk2aFPN5NWrUoPHjx6uluKYiMAxDv/32GxkaGlJQUJBK91JVTxERETR8+HB6//69ThTC6FL8oG2qA0rSvRdCVSNh63lk07jacGAfF9eYmZlR48aNicfjqaWYp6IwDCP/PgoKClS6Fxt6YhhGJ5wqUVGqxoIFCwhFW10oVMzDNrIgRSKRaDWYlCGTQxvVoKUV17Rt25YA0IULFzQqS1mw8Z2wYU8ym5ZIJBrX04fFNVwul3g8HjVp0oTMzc3VUsyjCDIbYiMNig09yWxbF9C1+EGbcCu8vlA1GkNX1q4zMjICAI2tn5aWloadO3fC2dkZTZs2xerVq9GxY0ecOXMGaWlpiI2NRWJiIrZu3YqMjAzw+XxYW1tj3LhxCA4OhkQiUbhNhmEUOp/D4ci/DwMD9vasVRYOh1Oh92Xv3r1ITk5WqyyWlpYYM2YMAOD48eP46aefEBoaikGDBqF+/fqYM2cO7t69C1Ji6Vtl9MTlcsHj8XRigXGZHJraRYf+fzHrOXPmoH79+hg8eDDCwsKwYMECREdHY9++fQCA2rVrq12WiqArPk9m0zweTyMySSQSBAcHQyAQwNraGnw+H5mZmdi2bRsSExPx8uVLpKam4syZM+jYsSNWr16Npk2bwtnZGbt27UJaWppS7SpqTzIbkv0maBuZbX8KTfi8aj5C2xGtLqDJHoYmelXa6jEpM2KnSnGNMsU8H7N161YaO3asxnMwiTSrJ3d3d5o6dara2/n4mSpazFMe2tSTtlDGnipaXFPVfB6RdvyeMjpSpbhGmWKe0vgc/J62fN7nTHVASZp5Ifbt2yf/f3U7WE2+4GKxmP7++29ycXGhYcOG0fLly8t1UmwX13yqmKe8oCU5OZmMjY3p5s2bRKT6NLYiaEJPDMNQeno6NW/enP7++2+1tSPjU8/0qWKe9PT0T95Xm3rSJMrYk2zdUEWKa6qazyPSnN9TRkdExHpxzaeKecpbTqwq+z1d8nmfG9UBJan/hRg3bhxxOByaOHFisRwddaGJF/zy5ct09+5d6tevH7Vr145WrFhBf/zxB5mZmdHXX39d5rIODMPQjz/+WGznGjYLFT7emcfb2/uT52dlZVH37t1p/fr18s9ev35NPXv2pC1btrC+I82HaMoRvXr1iiwtLeULRaszN6yiz/RxMc/WrVs/mWepTT1pAmXtKS8vj0xMTBTeuaaq+Twi9T+TsjqSSqX04MEDte5c8+HOPCYmJuXmOlZ1v6eLPu9zoDqgJPW+EFu3bqU2bdrQ7NmzqWvXrjRq1Cj5rjfqcrBsP8/HxigUCqlOnTq0ZMkSmjVrVrFlNvbv30+Ojo508eLFUu8lkUgoJiZGrTvXyMjNzaW3b9+W+T3LPv/mm2/Iw8ODiIh8fHzI3t6enJyc6PLlyxQSEkIzZsygpUuXsr6ciLodkWyUwtfXl9q1a1fsmLq+e2UXLf7UD6C29cQ2bNoTEVFQUJDCO9dUNZ9HxO4zsa0jIqITJ06ovZKeYZhyt5bVtj2p892rLD6vqlJdlKNm3r17hwEDBmDhwoWYMWMG/v33X3h5eSEpKQk8Hk/h5GhNk5KSIk9Ol0qlAAB/f39MnDgR33//PZYtWwYHBwf5sebNmyM6OhrNmjUr9X48Hg9NmzZF165d1Z70bmxsDFtb2zKTt2WfDx8+HImJiejZsyd+/fVX8Pl8XLx4EU5OTrh27RoKCgoQHh6Orl27wtvbG0lJSWqVmw2ICFxukXlHRkaCiBAXF4cjR47Ax8cH3333HebOnatlKYuwtLT8ZLJ/VdIT2/YEAIMHD4alpaX6ha8g1T6vdIYPHw5jY2O1ys7hcNC8efNPnlOV7OlDKpPPq6pUB5RqYu/evbhz5w7+97//Ydq0abCxsYGXlxdmzZqF7OxseHl5ITY2Vm4AiYmJWpa4JOvXr0e7du2wbNky5OTkgMfjIS0tDcnJyWjWrBksLS3lVaIfGnKTJk1Qs2ZNbYpeLvT/lcbv379HQUEBQkNDkZWVBR8fH/zyyy8wNDSEnp4elixZgs2bN+PkyZO4c+cOnj59Cn9//2L30DWISP6DGBoaijNnzuDx48fw9PTE3Llz8ccff+D9+/fIzs5GZmamlqX9NFVJT1XZnoBqn1cZdFSV7OlDqpLPq9RoZ2BUt2B7qiQzM5Nq165dbNeHD5Okjxw5Qv3796cePXrQkydP6PDhw2RlZUX//vuvyu0Tsfc8ubm5dPjwYXJwcCAXFxdKS0uj6OhoMjExobdv3xJRyWkER0dH+X7JurI+4sfIpnwyMzNp/Pjx5OjoSBwOh+bPn09E/+mqNPk9PT3Jw8ODlb3O1TFV8qHM586dI3d3d+rcuTMdOnSIHjx4QAzDyPOj0tPTacGCBfTnn3+y1j6bz6QremILXbKnqubziNh5Jl3SEdvoij2pMyWrsvu8yo6e9kLZqgkRwdzcHAMGDEBcXJz8My6XK+9FjRw5EkZGRti9ezdcXV2RkJCApUuXol69etoV/iOMjY0xatQodO7cGd7e3hgwYABsbGzg6uoKExMTAMXXjwsMDERcXBy++eabEsd0CR6Ph2fPnmHs2LEQi8XYv38/duzYgdjYWIjFYujr6wP4T36GYcDlchEfHw89PT28f/8eZmZm2nyEMpHJHBgYiD179iAhIQHbt29H165d5efIni8hIQEFBQX47bffkJaWhoULF2pF5rKoanqqqvZU7fN0X0dA1bMnGVXJ51V6tBnN6grqSOb++eefycHBocRaih/2ptasWUMcDoc2bNigcrsfwubzyHqtGRkZtH79euJwOPJE7g8T7AsKCsjJyYmWLl0q/+zdu3cKFwuoG6lUSgsWLKAmTZrQ0KFDKTExkYiILly4QGZmZmX2wB88eED9+/enbt260ZkzZ+T3UgV19Wz//fdfcnJyok6dOtGTJ0+IqOSog0z2x48fU9++falWrVp0//59ldtm65l0SU9soiv2VNV8HhG77x6R9nXEJrpkT+rwe1XB51UFqnMoWSI2NhZPnz5Fbm4uAKBfv34wNjZGYWGh/ByGYcDhcCCVSvH48WOsWbMGc+bMwbx587QldrnIRhlq1qyJmTNnYunSpXjz5g3y8/PB4/Hk+TRhYWGQSCQYPnw4jh8/DhcXF9SvXx+HDh3S8hOUpG7duli0aBEOHz4Ma2trAICtrS2sra1x5coV+XlEhOjoaEyZMgV9+vSBlZUV/vzzT7i6ugL4L4dK16hXrx4WL16MgwcPolWrVvL37kO4XC5evnyJbdu2oaCgAD/88APat2+vHYHLoCrqqSrZU7XP030dfUhVtCcZVcXnVXq0FsrqEKr2MN68eUMODg5kaGhIHTp0ICcnJxo7dixxOBxauXIlxcXFyfNvZFy7do0WLFjAhvglUGeP6ciRI9SqVSsKCAggov/2vPX29iYOh0NGRkZkYWFB8+bNo7i4ONbbVweynmubNm1o1apVREQUEhJCEyZMoAYNGtDw4cPl65mVhTK5U5ro2RYWFpb6+ZMnT2jixInUrVs32rx5s/xzXRx9kMGGnjRNee+Ftuypqvk8IuWfSVd1pG5UtSdl80XV7feqks+rbFTnULLAF198gcOHD4NhGLx8+RJXrlxBjRo1AABLlizBvn37kJaWhg4dOqBmzZqwtbXFr7/+CmdnZy1LXoRUKsWlS5fg6+uL1atXw8bGpsQ59P+5UO3bt0eLFi1w8uRJjBkzBjweD4WFhTAzM8OCBQvg6elZ6Xp9sh73N998g6CgIKxduxYLFy5E7969cfLkSXz55Zfyc2V5RR/D4XCwdetWDBkypNzlQzSJLHcoMzNTXoUaHh6ODRs24NWrV5g0aRKmTJkCoOxn0xXY0FNmZiZEIhFGjx6ttqV2UlJScPDgQbx58wa//fZbqedUdnuq7D4PAKKjoyESiVCvXj1MnDhRbisyKruOykNVe5JKpTh58iTMzMzQp0+fcvfW1hRVyedVOrQc0OoEbPQwSuuteXt706+//kqPHz+mEydO0KZNm2j06NE0c+ZMVcQtl4o8j2y7wnnz5pGtra1855pr1659sufJMAwtWrSILC0tq+y+yvfu3aOBAwcSj8ejbt260YYNG8rcBYOo6DuJiYmRbyfo6OhIW7duLTeXSlNbL0ZERFCbNm0oJiaGbt26RaNGjSJnZ2cSCoXy89jKM9Rkb11RPUmlUjp+/DjxeDz5zjK+vr6sLDadm5tLvr6+8p1/9PT0yMPDo8zREhnasqeq5vOIKvZMSUlJtGXLFnJ0dJTvXPO///3vk/f9HHwekeL2RETUt29fAkC2trY0b948unfvXrkjl5rYerGq+jxdpzqgJPUUsRAR/fDDD9SxY8dyt8Fim089z8uXL2nVqlXUsmVLAkCWlpY0c+bMCu1cIzt+7949unTpUrHPqiJZWVm0Zs0acnBwkE/lfYrc3Fzy9/enYcOGkZ6eHvF4PBoyZAiJRCLKyckpcb4mHdGwYcOoTp061L9/f+rbty8dPXpUfozNohVtOFdF9STb+7p79+7yoGLcuHGf3Pu6ND7cm9zExKTY3uQVKczQpj1VNZ9HVPYz5eTkkEgkIldXV3lnYvjw4eTv719uZ+Jz83lEitkTwzB0+/ZtmjlzJllaWhIAatmyJf36668UGxtb6jWa8hFV2efpKtUBJalvXaygoCCys7OjvLw8IlL/XrYyPn6e1NRU2rlzJzk5OREAMjY2Jj6fT2fOnCl3BKWaImJjY+nx48dEVDFnlJKSQjt27KAePXoQADIxMSGBQEDBwcHyoEXTjmjkyJHE4XDowIED8s/YroDWtnNVVE/R0dG0YsUKsre3JwBkbW1Nc+bMoTt37pQaODAMQ3fu3KHZs2eTtbU1ASAHBwdasWIFRUdHs/486qKq+Tyi4s8kFospKCiIBAKBPNjv0aMH7dixo9xRt2r+QxF7KiwspDNnzhCfzydjY2MCQM7OzrRz505KTU2Vn6dJH/E5+DxdojqgJPW9EO/evSMbGxsKDg5m9b7lIXue3377jYYPH076+vrE4/HI1dWVhEJhiWU91I0u9ei1IUtMTAytXLmSWrRoQQDIysqKZs2aRfv379e4I+rZsye1b9+ekpKS1PJdsGVLmtaTLFCcM2dOiUAxJiZG4cBT3bKqSlXzeUREd+/eJQA0duxYsrKyIgDUokULWrVqFb18+VLj8nzOfi87O5uEQiENHjyYeDwe6evrk5ubGwUEBNCNGzc06vfK83mqfjfVAeV/VAeUxM4L8XGvh2EYKigooEaNGtGWLVtUFbFCSCQSOn/+PA0fPpwAEADq2rUrbdmyRau5PzExMTphbIWFhXTu3DlWcuaUgWEYunv3Ls2dO5dsbGzkOpo6dapGR7fatm1b5vprqr4nbNjSu3fv6NKlS/JqWk0jm8oePXo0GRgYyPVkYGBAY8aMUXhqnC0YhiGJREKXLl2id+/eqXQvdQT+2vB5RERRUVG0bNkyatiwIQGgunXr0ty5cyk8PFxrQV1OTg6dO3dOJ2aA7t27p5WAWkZiYiL98ccf1LVrV/kMGQDasWOHxkawy/J5hYWFlJaWptK9qwPK/6gOKEn1F2LTpk104sSJUp3Xhg0b1LqURGnFNQ0aNCAAdOzYMbW1q4h8U6dOJS6XS4cPH9aaHBKJhMaMGUMGBgZ08eJFrcnxoTzbt28nAFSjRg2FinlURfaefvy+CoVCqlOnjnyKSxlUtaX09HRq164d1atXj169eqW0HMrycXENj8ej9u3bU4cOHdRSzKMocXFxVK9ePfryyy9VCipV1dOjR4/o+++/J6lUWuI9UrfPIyq9uGbYsGEEgMLCwtTadkW4cOECGRgYkKenp0an/T/m0KFDxOVyadq0aToxYvrixQuaMmWKvJOmSDGPKpTl85KTk8nS0lKlhfarA8r/qA4oSbUX4u+//yYAtHjx4lKPq8tIPlVcI5v60ZUXXCKRkKenJxkYGNC5c+c03j7DMPTtt98Sl8ulI0eOaLz9spC9d9evX1eomEddvHv3jr788kuqV6+e0iMaqthSTk4Ode/enerWrSvf7UITVLS4hq1iHlV5/Pgx1alTh3r06KH0+6GKnmJiYsjW1pbat29favvq8nnlFdfo2g/7kSNHiMvl0pQpU7QSzJ09e5b09fVp7NixWg1qP0amp3379ilUzKMuFi1aRABoz549Sl2va++dNqkOKEn5F0LW+5sxY4ZGHEZFi2t08QUvKCggV1dXMjY2pps3b2q07Z9++okA0N69ezXabnmUpqeKFPOok8TERLKzs6OmTZuWWJi6Iij77r1//54GDhxIpqamGhlhUrW4Rts5lWFhYWRqakqDBg2igoICha9XVk9v376lpk2bkp2dnXz7PnWiSHGNLvo9Hx8fAqDWBd1L48aNG2RsbExDhgzRiWn3D/lYTxUt5lEXDMPQ9OnTicvl0qFDhxS+XhffO21RHVCSci9EcHAw6evrE5/PV+tewXl5eRQQEKBQcY2uvuC5ubnk4uJCtWrVogcPHmikzd9//50A0KZNmzTSniKUp6eyinnCwsLUGrTExcVR/fr1qU2bNgrnFynz7kkkEvrqq6/I0NBQvjSLumA7ECyvmEedhISEkKGhIY0ePVrhEShl9JSWlkZt2rSh+vXrqzUdgWEYCg0NpVmzZilUXKOrfm/jxo0EgH7//XeNtPfgwQOqVasWubi4aC1f/FN8Sk+fKuaRrRygDqRSKXl7e5O+vj6dPXtWoWt19b3TBtUBJSn+Qsh6f8OHD1dL709WXDNx4kQyMzNTuLgmOjqa3NzcdHIZk4yMDOrQoQPZ2NhQVFSUWtvatWsXAaAlS5aotR1lqaieSivmsbOzo+XLl6tNx0+fPiULCwtydHRUaFUARW2JYRiaPHky8Xg8OnHihLLifhLZVHW3bt3kU9Xjx49nfapa1XUplSEwMJB4PB5NnjxZoYBYUT1lZ2eTo6MjWVhY0NOnT5UV95PIimvs7OwIANnY2ChUXKPLfm/x4sUEgHbv3q3WdqKiosja2po6duxIGRkZam1LWSqqp4+LeczMzGjixIl0/vx5tUzhFxYW0rBhw8jY2Jhu3LhR4euqA8r/qA4oSbEXIiIigmrWrEm9evVitcfEMAzdu3evxM41S5cupRcvXrDWji6QlJRE9vb21LhxY3rz5o1a2vDz8yMOh0MzZ87UiWR0tpBIJHTu3DmaMGGCwjvzKMrdu3fJzMyM+vXrR+/fv6/QNYrYEsMw9MMPPxCAYuvEsUFpO9cMHTqU/Pz8NDJqk5OTI2//w2IedbR/4MABAkDz58+v8LuuiJ7y8/OpX79+ZG5uzvqPZnJyMm3durVYcc2ECRPo3LlzOpX3pyoMw9DMmTOJw+GQv7+/Wtp48+YNNWrUiBwcHNRe2KdpXrx4QUuXLqXmzZurtZgnLy+PevXqpdAsWnVA+R+ffUCZ815Mhy/eJgNbezp88TblvC97xOLFixdkZWVFnTt3pszMTFbaV2XnmsrMq1evqEGDBtSmTRtKT09n9d7nz58nPT09Gj9+vFrTEbSNojvzKMOVK1fIyMiIRowYUe5oniK2RES0atUqAkDbtm1jRdYPRwhlwba6RwgrQmnFPGyPkG7dupUA0K+//lruuYroSSwWk4eHBxkZGdGVK1dYkVVWXDNkyBCFd66pzEilUho3bhzp6enRhQsXWL13WloatW7dmho2bEjx8fGs3luXUGZnHkXJzMykTp06kbW1dbmDOYr6vKoOh4gInxlRSdkQhcbj0vNkxKfn4cMvgAOgYR1j9HGwAt+xIeyszQAAb968gZOTE0xMTHD16lVYWFgo3X5aWhoOHToEoVCIGzduwNjYGCNGjACfz0f//v3lm9tXdd69ewciQp06dVi/d2xsLBo2bAgej8f6vXWR1NRU+Tt18+ZNmJiYYMSIERAIBOjXrx/09PSUvvfp06fh4eEBgUCAPXv2gMvlyo8pY0sAsH37dnz//fdYuXIlfvnlF6VlIyKEh4dDKBTC398fSUlJcHBwAJ/Ph7e3N5o1a6b0vdVBTEwMfH19IRQK8eLFC1hbW8PLywt8Ph+dOnUCh8NR+t4rV67EkiVLsGPHDnz33XfFjimjJ4Zh8PXXX0MkEiEwMBBDhgxRWjaJRIILFy5AJBLh2LFjyM3NRY8ePSAQCDB69GiV/GllQiKR4PXr12jSpAnr905PTweHw0Ht2rVZv7cuIhaLi71TeXl5cHZ2Bp/Px+jRo1G3bl2l752amgoXFxfk5+fj+vXrqF+/vvyYsj7vc+CzCihfp+dh0bFHuBadCh6XAylT9qPLjrs0t8APvb6A1/ABpb5cFSU/Px8nT56EUChEcHAwGIbBwIEDwefz4e7uDlNTU1UerZqPICKVfpwrMy9fvoSvry9EIhGePXsGKysrjB07FgKBAJ07d1bqe/Hz8wOfz8fs2bOxceNGvHmXr5QtrR7RFleDjkEgEGDevHlYv369UvKoMzDTBLJAWCQSwc/Pr1ggzOfz0bRpU6Xu+cMPP2Dz5s0QCoXw9vZW2uf96tEGG1f+D1u2bIFIJIKXl5dS8ty5cwcikQj+/v5ITk5GixYtIBAI4O3trZagqjLwOfsmdZGTk4PAwEAIhUKcP38eXC4Xrq6u4PP5GD58OGrUqKHwPT8eRMrnGivt8xrUMVbl8SoNn01A6X8nHktPPIGEoU++CB/D4wBSiRjiWyJc9lkNOzu7Cl8rlUpx6dIliEQiHDlyBNnZ2ejatSsEAgE8PT1hZWWlzKNUU02FICLcu3dPHrQkJibCzs4OAoEAfD5f4dG7nTt3Yvr06fBevA13qanitsTlgAsGSWe2Y3THevj7778V+mFNSUnBwYMHIRKJcOvWLZiammLkyJHg8/no27evSqOw2kQikSAkJARCoRBHjx5Fbm4uunfvDj6fjzFjxsDS0rLC9yIiTJ48Gfv378dPu47jyCueUnoCI0XymW1Y990ITJs2TaHniY6OhkgkgkgkQlRUFGxsbODl5QWBQIAOHTpUB1PVqJWkpCQEBARAJBIhLCwMZmZmGDVqFAQCAXr37q3QrFVUVBScnZ1h2c0d4nYjlLIlPS4Hy91aY2yXhso8TqXiswgot12KwvpzL5S+XtajnD/QHt/3+XRASUSIiIiAUCiEn58fEhIS0Lx5c/nIgyIBaTX/sXfvXgwdOrQ6CFcSqVSKkJAQeecmJycH3bp1A5/Ph6enZ4WDlq+W/o27hbYo2uhC8cBAZkvz+tthVj/7cs/Py8tDYGAgRCIRzp49CwAYNGgQBAIB3NzcYGxctXr+ubm5OHHiBEQiEYKDg8HhcBR+XolEgp7frcZbi05Ky6GIzwOKgv2AgAAIhUKEhobC1NQUo0aNkgf7n0vqCdtU+z3ViIqKknduoqOjUa9ePflMRvv27SvUufmf7zWIHmUBRIAKnaGK2lJlptIGlGvXroWPjw8iIyOL5XR9jP+deCw8+oi1dteMbAvPUnoa+/btw9SpU9GoUSNERUXB0tJSPs3YpUuX6l65inh4eMDGxga7du3StiiVnry8vGLpF0SE5s2bIysrC8+fP4eZWel5P5qyJYlEgr1792Lq1KkwMjJCfn6+0iN2lZnSRmTt7e2RnJyMmJgYGBgYlHqdpvSUm5uL7du3Y+HCheBwOCWmGatasK8Nqv0eOxARwsLC5OkXKSkpsLKyAsMwCA0NLTPFRFO2BACRkZFo164dIiIi0KZNG9ba1CSVMqDMyspCkyZNsH79ekyaNKnYsRMnTmDZsmWIjIxEXQtLvG/aE6bdPcHhKtdDzo+9h9yn11D49jnEaW+gZ26Bly9j0aCOcYniGg6HAwcHB2zcuPGzKq5RJ0SEjIwMdO3aFQsXLsTkyZO1LVKVIjU1Ffv378eCBQsgkUiKFfOkpaXhzJkzCA0NRXR0NGo0bAsr799Uaq/g7XPkPLqIwrfPUZgSBzBSUNFqEyWKa0xNTdGgQQOcPHlS54prNE1MTAx8fHzw+++/g2EYec7o0KFDce/ePZw6dQpPnz5FYaEYhWY2MO3sDpOWPZVuryw9lVZcU7t2bTRs2BAXLlz4bIpr1E2131MfYrEYJ06cgLe3NwCgsLBQXswTERGBsLAwxMXFIf/9ezDGFqjRwhnmjiPBNVA8DxMo25ZKw93dHTweD0ePHlX28bRK2UN7OoyPjw8kEkmJRPGgoCB4eHigVq1a2Lp1K8wcuiP9uj/Szyvfu8t9cgV5kVfANTQBz7SoGvnrXefh5uYGW1tbfP/99zA3N4dQKMTGjRsRHx8PZ2fn6mCSJTgcDrKzs5GZmSlPF6iEfSCdxcLCAlwuF8bGxoiMjMTChQtx9+5dDB48GBMnTsTBgwdRs2ZNGBibg41vPT/mLnIenAM4HOjXsgFQVJ3cokULdOnSBf7+/vDy8sKdO3cQEBCAp0+fstBq5adZs2awtLSEqakprl+/Di8vL/j5+WHAgAFYsGABUlJSMG3aNDgM+xbQM0Rq4FpkXBMp3V5pepo9eza++OILuLq64u7du/j555/x8uVLiEQiPHjwAJmZmWw97mdPtd9TH/r6+nj9+jWMjIzw77//QigUwtTUFN9//z3+/PNPZGRkwN3dHW2/mgWjRm2Refswkg8uBRGjVHul2VJZTJs2DceOHUNMTIxSbWmbShlQ7t27F25ubjAyMir2+fz589GuXTucO3cOvd3G4n3XCTDvPho594MhTnutVFu1eo1Hg7kHYTNuHQysmoAIiMrWw7/ZUmzYsAFv377FmTNn5MuUFBQU4NChQ2w8ZoXZsWMH+vfvjzFjxuDixYvFjqWmpipVMaoLMEyRAd+4cQO2trbo2bNoxIXD4ciPVSZ0VU8ye2rZsiV++eUXREZG4u7du5gwYQLq1KmDh3HJIONarPygmXUcggZzA2A7cTOMGrcHAGz4S4hu3brh7NmzePPmDTZt2oTOnTtjwIABqF27Nv755x+V2/0Uly9fBofDKfOvT58+AIBZs2ahU6dOMDQ0RPv27dUqU2nI9OTk5IRNmzbhzZs3+OeffzBixAi8fv0aa3b+g+SGvWE19lcYNWqHzNuHwRS+V6qt0vR06Ow18Pl8hIeHIzIyEv/73//QpEkT9O/fXyN6+hBdtSU2qEp+T1f1JLMlCwsL8Pl8BAUF4d9//8XmzZthaWkJ0cmLSP7CBbUHTkftnuNQ8CYShW+Vq8MozZaik7NLPVcbtsQmlS6gjI2NxcOHD9G/f/9in0dGRiIyMhJTpkyBnp4eRKHx4HE5MOswBAAh99kNpdrTM6sLDq949SiPAwyfuxYzZ84slixtZWWFdu3aITAwUKm2lGHLli348ccf0aJFCxgaGmLIkCH47bf/piWlUilevXqlMXnYgojkubGRkZEgIsTFxeHIkSPw8fHB9OnTMX/+fC1LWXF0VU+l2ROHw0GnTp3w119/4d9//4Vg+W7W2uOZ1AZX37DYZzM2B+Cff/7BwIEDi1Vq6+vro3fv3mq3px49eiAhIaHE3+7du8HhcDB9+nT5uV9//TU8PT3VKk9plKYnPT09jB8/HkePHkVSUhJGLdwMEAMOh4Madt0BqRiSjESl2itNT9+s+QcbN25Ex44di+WEa0pPMnTVltigKvk9XdVTWTGEtbU1Zs2ahdDQUEzf5AfO/8/J8GpaAwCYglyl2ivNloS340s9V9O2xDaVbp2NmzdvAgA6duxY7PP79+8DADp37gwAuPQ8GVKGoGdWFzwzC4iTXrImg5SASy+SsQytSxzr1KkTjh8/zlpb5bF792789ddf8nyQ7777Dh4eHsjPz8eKFSs0JgebfLhOW2hoKM6cOYPHjx/D09MTCQkJqF27Nrp06YL4+HhER0ejefPmWpa4fHRVT2XZkwwej4eYPKNSj7HF9ZfvyjzWqVMnBAYGIisrC+bm5mpp38DAADY2xaeinj59ivnz52PRokUYPXo0gKIfSKCoWObhw4dqkaUsytOTiYkJ3lJtgJMHAJDmFn2nXGP2vrMrUallHtOEnmToqi2pSlXze7qqp/JsSSKRICwmBeLsLIhTXyHj2gFwDGrAwLb8VSkqSlnxA6BZW2KbShdQPnv2DABKLIqbkJAAALC1tUVOgQTx6XnyYzzT2pDkpLEqR3xaHnILJDAxLP4VNm3aFKmpqUhOTtbIUg+xsbHo0aOH/N89evRASEgI+vfvD7FYjDlz5qhdBjb50KmeP38e27dvB5fLxcGDB2Fvb4+2bduioKAARkZGiIqKwpo1a9CgQQMsWbJEy5J/Gl3VU1n2JONjW1IHZdkSUGRPDMPg2bNn6Nq1q1rlkCHLoerduzdWrlypkTbLQxE9SfOzkfPgHAzrt4aeKXu7UOmKnnTVllShKvo9XdVTebZ09eZt3Fo+Qv5vvTr1YTVqMXg12Nv1RldsiW0qXUCZlpYGPT29EjvL5OfnAwAMDQ3xKi23+HZIPAMwhez+KBKA4BvhaFKrePFNdnZRbsTVq1dZzQ+xtLRE/fr1Syw/ZGFhgdevX6Nx48byz9q0aYOQkBD07dsXb9++rdD9o6OjkZWVxZq8pdGkSRPUqlXrk0soyY4FBgZiz549SEhIwPbt24sZlqzgqXbt2nBxccGSJUtQWFiIVatWfbL9qKgouX7URePGjVG7dm216enBgweQSqWsyfvs2TPweDy8eFF6flBshpiVYpxPUZYtAUX2DgC3b99WeeFyLpdbbu4jwzDw9vYuSpsRiVRe7isiIoKVvLeK6omIQerJ9WAKclBnwFSV2/0QTelJBo/Hw5dfflniczZsiYjw7t07xMXFsSJrWRgbG8PBwaHc90hdfi8zM1PtBR7m5ualjpaypac3b94gJSWFNXnLs6V/MwthNXYVqPA9Cv59ivdxEWDEyuUilwUBiEvLRet6NUsck22dmZpa9oyArlLpAsqykG2tVFBQgEIq7vBIWgiOXulrtqmCt2A8ChNKfyll02RsMXPmTGzatKnEAsHOzs44evQoXFxcin3eqlUrXLx4UV5QUB6zZs1CUFAQa/J+jJ6eHt68eVOhc9++fYt169bh/fv32L9/P1q1aiXvwROR/DuwsLDA+PHjYW9vDzc3N7Rr1w5jxowp876zZs1CcHAwK89TFkKhEJ6eniV+VNnSU9++fZGens6avDI6dSp9EWwDW3vYTtjIensf8ylbAooqjFXFxMQEOTk5nzxn0aJFuHXrlnyHDVVxcXEpt01FKE9P6ed34/3LcNQdNg8G1uwXPGhCTzLq1KkjD1Q/hA1bkkqlCAoKgkAgYE3e0tiwYQPs7e0r1DFh2+8RES5duoQRI0aUOMYmrq6uOHPmTInP2dATwzBYt24dtm7dypq8Miri84ztuyH3yWWkHFkF24mbWbWpQknpHU1Z8WNlXLu60gWUdevWhUQiQXZ2djGHb2trC6Bo6tukvkOxa6Q572DIYv6DDF/h/hK9dR8fH2zfvh0XLlyQ9zTYwNLSstQF3BcuXIjw8PBSr2ndujUuXbqEI0eOlHv/LVu2qHWEksvlwtraukLn1qtXD4sXL4adnZ18lFdmXLL/7tmzBxMnTgSPx0O3bt3g5uaGa9euYcyYMWXulbt161a1j8I2bty41F1B2NJTSEgIqyOUO3bswJ49e3D16lWYmJiUOB6bIcYP59XfUy7NloCipcB++eUX7N+/H61bl55zVFE+tQECAPj7+2P9+vU4ffo0aztaXbt2jZURyoroafLSLci5dxq1ek+EaZu+KrdZGprQk4yydtdhw5Z4PB5cXV3LvA9bNG3atNz3ToY6/F7Pnj3V/oxl5fmxoScul4sff/wREydOVFVMOYr6PGOHHsCpjch9epXVgNJAr/T34t27ovznyrima6ULKFu0aAGgKD+jXbt28s9lU1l3797FhC87goOiYWVJdhqk2anQbz+IVTk4AAY7dSqRA7Fz505YWFigX79+rLZXFnPnzsWMGTPKPG5tbY19+/aVm2ujawnegwYV11d6ejrq1CnKBxOLxThz5gx2796NsLAwPH/+HC9fvpT/kJXVs9PmM7Klp9KmAFWhT58+2LNnD2rWrFnMnmQ4FEgw//xZVtv8mLJsCSgKVLhcLtzc3FCzZsnpIbaIiIjA5MmT8fvvv5d491SBreWFytPT5T+2IPO6L8w6u6Nmt69YafNjdEFPADu2xOFwUKdOHblP0RXY9Hvafka29NSgQQM0aNCANbkq6vNkqT4kEQPEgClgL22OA6Bx3ZLBLFAU23C5XNjbsz8Ipm4q3bJB3bt3B1AUOH5I69at0aJFC/z5558w0uOgYZ2ibb9y7p8BwIGJgzOrctTkFSIno+R0THh4uFxGTXDp0iWMGTMGS5cuLfV4ZV5CQ0ZoaCgCAgLkU4f6+vrYuXMn3r17B0dHR7i5uSE9PV2j37ui6KqeyrInIsLdu3fxvwXzIc1KVqsMhuJsXL98ERKJpMSx8PBwtG7dWq1BSmpqKjw8PNC7d28IBAIkJiYW+5Plb0VHRyMiIgKJiYnIz89HREQEIiIiUFhYqDbZZJSlJ4lEgp9//hnz586BsZ0javf7Rm0yGDN5ePoootT1SDWhJxm6aktsU9n9nq7qqSxbysjIwJs3b/D3ru3g5P2XVpTzoKhDbWjD3oBEw7rGpXbMAM3aEttUuhHKpk2bok2bNrhw4QK+/vrrYsfWrVsHNzc3DBw4EOYte+Jd6D1khZ+C6ZcDoW/xXw9HkpGEf3dNhkmbfrAYNveT7RUmxyIvKhQAIH6XACrIRcYNPyQnvEC938IxYMAA8Pl8jBgxAnl5eXj48OEne2XqYOfOnZg/fz4ePnwIoVBY6jB+ZSYtLQ0+Pj7o1q0bOnToAKBozc/evXuDw+Hg22+/RUFBAZyd2e00sI0u6ulje4qJiYGvry+EQiFevHgBExMTWLXvC2leFhhxATJu+AMAjBq0gVHD//abffX7MBg2aAMb/u+fbE+SmYycxyEAgILEaABAcvAODN5wDWZmZpg0aRIEAgE6d+4MiUSCK1euFFsHUh2cPn0ar169wqtXr+SpMx/SqFEjxMXF4ZtvvsGVK1fkn8vexdjY2GKFB+rgQz1NmjQJd+7cgUgkwoEDB/Du3TvweDw0a9EaiZGXwXwQ7xnWb1lsdw5V9PT6xCZ0WXsLNjY2mD59Ovh8Ppo2bQqxWKwRPX2ILtoS21QFv6eLevrY5+Xk5ODYsWPYuHEjIiIiwOVyUb+HG3IMLfH+zRPkPb8FAxs7mLQpnvOpii3xIo5h1aobaNSoEcaNGyc/Vxu2xCaVci/vTZs2YcmSJUhOTpYX48g4fvw4li9fjsinTyE1MINp236o6eRVbHHywpQ4JOz5HubdvkLt3hM/2VbOwwtIO7O51GPdunWDvr4+rl27BmNjY7Rq1QqPHj3C27dvNTbNwOVykZiYiLS0NLi7u8PQ0BCBgYHyHJykpCTUq1eP1bw7bSAQCPDo0SMEBwfLf/QnTpyIunXrYsOGDfLzysqf1Da6rKeVK1fi119/xZdffomwsDCYmppi5MiRYBgGQqGw1GtqOnmhlgsfAMAU5uP1xtEwbtkTlu4/fbKt968eIslvUanH6tevD4lEgsTERNjZ2cHR0RFCoRBRUVE6l5KhDf73v/9h/fr1aNCgAWJiYmBjYyPfGaws6g6ZA9N2RQs4s6Una2tr5OTkIDc3F927d0eHDh2wY8cOjelJl22JbSqz39NlPa1fvx5LlizBsGHDcOrUKeTn56Nz587Q09MrmplISkKBWAq9WjYwdnCCueMocA3+W4+XLVvq1asXLl++LP93cHAwXF1dK63Pq5QBZWZmJpo2bYq1a9di8uTJZZ43bk8obr5Mg5Qp/ojZ907j3aW9+GLaX+CZKFY4w+Ny0KNpXRyY7Cj/LC4uDn5+flixYgXev38PCwsLjB07Fnw+H46Ojmo1dJnRWllZITMzE15eXvKpkv79+1cp5zps2DBkZGSgcePGICL4+fkhICCA9Yp6daBresrLy0NgYCBEIhGCg4MhlUrRtm1bLFq0CG5ubjA2Ni52flm2BAD5MXeQfGgFbL/eCgOrxhWWoTRbkkqlCAkJgUgkglAohFQqhaOjIwQCATw9PWFpaan0M1dGUlJSEBAQAKFQiNDQopmSHj16YNmyZejbt2+JwhVN6Sk3NxcnTpyASCTC6dOnweFwMGTIEAgEglLfHzbRNVtSN5XV7+manogIoaGhEAqF8PPzQ3p6OmxtbTFz5kx4e3ujUaNGxc7XlC19iIeHBzgcDo4dO6bQs+kKlS6HEgBq1qyJn376CevWrftkBeXqEW2hxy0ZzL1/9RBmnYcrHEwCgB6Xg9Uj2hb7rHHjxujQoQN4PB4uXryIiRMn4ujRo+jevTvs7OywdOnSMte8YpOaNWvi9OnT+PbbbzFkyBBs2rRJ7W1qklOnTuGrr76Cvr4+kpOT4evrq/NOtTS0pSeJRIJz585h/PjxsLa2hre3N9LT0/HHH3/gl19+QWFhIcaMGVNqMFCWLQHA+1ePYNyqp0KOFSjdlng8HgYMGIAFCxYAKEpjsbS0xNy5c2Fra4uhQ4fC19cXubnKbYNWGcjNzYWvry+GDh0KW1tbzJ07F1ZWVvD398eKFSuQlpaGfv36lVoFrSk9mZiYwMvLC+vWrQOPx8PPP/+M9PR0eHl5wdraGhMmTMC5c+dKzYtlk6ru84Cq4fe0qacXL15g6dKlsLOzQ/fu3XHs2DF8/fXXmDVrFszNzbFgwYISwSSgOVuS8fTpU5w6dUpnNlNQhko5QqkI/nfisfDoI9but2ZkW3h2aVjueVKpFFeuXIFQKMSRI0eQlZWFLl26gM/nY+zYsRVeQqc8eDweEhISSuzK4+/vj2+++QZ9+vTBmTNnqkxvXUZ+fn6JdAddRlt6IiKEh4dDKBTC398fSUlJcHBwAJ/Ph7e3N5o1a1bhe206EYo/brG3hFBFbQkoKpw5dOgQhEIhbt68CRMTE4wYMQICgQD9+vVjbTFtbSGRSHDhwgWIRCIcO3YMubm56NGjBwQCAUaPHq3QEiLa8nkASuTgWltbw8vLC3w+H506dWJltuZz9XlA5fJ72tRTUlIS/P39IRQKcffuXZibm+Orr74Cn89Hr169ylyS6mNEt2Pxv8BI1uRSxJYqI1U+oASAbZeisP6c6iOEDTMicHn7zxVeV0xGfn4+Tp8+DaFQiDNnzoBhGPTv319ezPPxrj+K8OG0wsdERETAw8MDr1+/rnLOVRdzhj6FpvXE9g97XFwcnJ2dYdJ1JAocVF9W58eBDpjRR7kcoZcvX8LX1xcikQjPnj2DlZUVxo4dKy/mqSzvBRHJi2v8/f2RnJyMFi1aQCAQwNvbu8yt4SoCWz6PuX8c13b/UuoIzqeQdWREIhH8/PyKdWRkxTzK8rn6PKBy+T1N60lWXCMSiXD+/HnweDwMHToUfD4fQ4cOVTgQl0qlGDduHM6+Bsyc+SrLp4rPqyx8FgElUNRrX3riCSQMlZoTURY8Lgd6XA7cvyjAhhmjMHXqVGzfvl1po05PT8ehQ4cgEonkxTzu7u4QCAQYMGCAfHutinLlyhU4OTmVOUKTlpaG06dPY/z48UrJq05kzlEsFkNPT48VRymRSMDhcCrcA9UUmtBTSkoKDh48CKFQiNu3b8uLa/h8Pvr27av0KF5iYiJcXFxARLh+/Touvy5UyZZWuLVmpZdORLh//748J0pWzCMQCMDn8xUafdUk0dHREIlEEIlEiIqKgo2NDby8vCAQCNChQwfWAgZVfd68XvWxbtoIcDgcXL9+XelZFYlEgpCQEAiFQhw7dgw5OTno3r07+Hw+xowZo3BebGX2eTJkQRQbfophGEilUujr6+tUwKkJPYnFYpw7dw4ikQjHjx9Hfn4+XFxcIBAI8NVXXyldHEtEmD59Ov78808cOnQIhQ0664TP03U+m4ASAF6n52HRsUe4Fp0KHpfzyRdDdtyluQVWj2iLBnWM4ePjg8mTJ2PRokX49ddfVZbn1atX8lGkyMhIWFhYwNPTEwKBQO3FPNpG1vvLyMjA1q1bWfvxJyIcPnwYS5YswapVqzBq1ChW7qurfFhcc/Zs0XppgwYNYq044t27d+jduzdSU1Nx48YN+fI4qtoS23xYzHPkyBHk5OToVDFPcnIyAgICIBKJEBoaClNTU4waNQoCgQB9+vRRWwdIVT3FxsbC2dkZlpaWuHz5MmrVqqWSPHl5eThx4gSEQmGx95XP58Pd3V2txTy6wOHDh7F48WKsXLkSo0aNYs3Hx8TEYObMmahduzb279+vcx1qNvmwuCYgIACpqalo1aqVfGRf0dH00li0aBF+++03+Pj4YNKkSQB0z+fpIp9VQCkjKikbotB4XHqRjPi0PHz4BXBQtOhoH3srCLo1RHOr4vv5bty4ET/88APWrVuH+fPnsyIPEeHBgwcQiUTw9fXF27dv0axZM/n0kKIr5hMRGIYBl8vVyaCUiDBt2jT8/fffOHToEEaOHMnq/aVSKfh8Po4dO4ZTp05hwIABrN6fLZTV04cjPkePHpUv36LsiE9Z5ObmYsCAAXjx4gWuXr2KVq1alThHFVtSF3l5eTh58iSEQiGCg4NBRMWCFk2thZebm4vAwEAIhUKcO3cOHA4Hrq6u4PP5GD58uEaDJ1X09OTJE/Ts2RMtWrTAuXPnWPv+ZCPqIpEIt27dgqmpqTwvVpkRdV33e+fPn8fQoUMxatQoCIVC1oO+o0ePYvTo0fj222+xc+dOnfwOAOX19OLFC/nIfkxMDOrVqwdvb2/w+Xx8+eWXrD3vunXr8NNPP2Hjxo2YO7fkOtW66PN0BvrMyXkvpsf/ZtC9V+n0+N8MynkvLveaX375hQDQX3/9xbo8EomELl68SJMmTSJzc3MCQF26dKHNmzdTYmJihe6Rnp5OAQEBlJ6ezrp8bLBgwQICQHv37lVbGwUFBeTq6komJiZ069YttbWjCoroiWEYunPnDs2ePZusra0JADk4ONCKFSsoOjqaddnev39PAwcOJFNTUwoLC6vQNcrYkrpJSUmhHTt2UI8ePQgAmZiYkEAgoODgYBKL2ZdPLBZTUFAQCQQCMjExIQDUo0cP2rFjB6WkpLDenjIoo6ewsDAyNTWlQYMGUUFBAesyRUdH04oVK8je3p4AkLW1Nc2ZM4fu3LlDDMNU6B667Pdu3rxJxsbGNGTIECosLFRbOz4+PgSAFi5cqLY2VEURPSUmJtLmzZupc+fOBIDMzc3p66+/posXL5JEImFdtj///JMA0OLFiyt0vi76PG3y2QeUysAwDH3//ffE4XDo4MGDamsnLy+PDh06RO7u7qSvr088Ho8GDRpE+/fvp+zs7DKvCw8PJwAUHh6uNtmU5ffffycAtGnTJrW3lZubSy4uLlSrVi16+PCh2ttTlIroiY0fWkWRSCT01VdfkaGhIV26dEktbWiDmJgYWrlyJbVo0YIAkJWVFc2aNYvCwsJU+i4ZhqHQ0FCaNWsWWVlZEQBq0aIFrVq1il6+fMniE2iXkJAQMjQ0pNGjR6vlx5zov47TnDlzSnScYmJiPnmtrvq9Bw8eUK1atcjFxYVyc3PV3t7GjRsJAK1Zs0btbSlDeXrKzs6m/fv306BBg4jL5ZK+vj55eHjQoUOHKC8vT21yBQQEEIfDoZkzZ6rNt1Z1qgNKJZFKpSQQCEhfX5+CgoLU3l5aWhrt2rWLXFxcCAAZGxuTl5cXnT59ukSPV1cd665duwgALVmyRGNtZmRkUIcOHcjGxoaioqI01m5FKEtPycnJtG3bNurWrRsBIFNTUxo/fjydPXtWLaNqH8IwDE2ePJl4PB6dOHFCrW1pC4ZhKDw8nObOnUs2NjYEgOzs7Gj58uUKjfZGRUXRsmXLyM7OjgCQjY0NzZ07l8LDw6vsD1JgYCDxeDyaPHmy2p9RLBbT2bNnady4cWRqakoAqHv37rRt2zZKTk4ucb4u+r2oqCiytramjh07UkZGhsbaXbx4MQGg3bt3a6zNilKangoLC+nUqVPk5eVFNWrUIADk4uJCu3fvprS0NLXLFBQURPr6+jRu3DiSSqVqb6+qUh1QqkBhYSENHz6catSoQdevX9dYu3FxcbR69Wpq1aoVASALCwuaMWMG3bp1S/5jqWuO1c/PT2u9v6SkJLK3t6fGjRvTmzdvNNr2p/hQT7m5ueTr60tDhw4lPT090tPTo2HDhpGfn59GRjWIigKtH374gQDQgQMHNNKmtpFIJHTu3DmaMGGCPGhxdHSkrVu3lhq0JCUl0ZYtW8jR0ZEAkJmZGU2YMIHOnz+vtlE7XePAgQMEgObPn68xW87NzSU/P79i9jF06FDy9fWV24eu+b03b95Qo0aNyMHBodR3SZ0wDEMzZ84kDodD/v7+Gm27PGR6unv3Lt26dYtmzJhBFhYWBIBat25Nv/32G8XFxWlMnmvXrlGNGjXIzc1NrekInwPVAaWK5OfnU+/evalmzZoVznFkC4Zh6P79+zR//nyqV68eAaBmzZrRt99+q1OO9fTp06Snp0fjx4/XWu/v1atX1KBBA2rVqhWlpqZqRYaPCQ0NJQA0ZMgQeb5d9+7dafv27VrJt8vIyKDGjRvTtm3bNN62LpCbm0v+/v40bNgw0tPTIx6PR0OGDCEfHx/as2cPubq6Eo/HIz09PRo+fDj5+/trLNjXNbZu3UoA6J9//tF427IR/O7du8tH8MeNG0fbtm3TGb+XkpJCLVu2pIYNG1J8fLxWZJBKpTRu3DjS09OjM2fOaEWG0jhy5AgBoPr16xMAqlevHs2fP58iIiI0PtjAMAxNmTKF+vTpQ/n5+RptuypSHVCyQFZWFh06dEirMnxYzCMLTlq1aqVQMY86yM/Pp19//ZW+++47tU/Xlsfz589p9OjRdPr0aa1NSTIMQ2FhYTR79myqU6cOAaBGjRqprbhGEQoLCyknJ0erMugKCQkJxUZOAJClpSXNmDGDEhIStC2eTiASiSg/P1+rU4Qf5xgDIC8vL7XmGJcHwzB06tQpGj16ND1//lwrMsgoLCykadOm0a+//qrVgCkhIaFYcQ0AcnNzU1txTUWRvbvVwSQ7VAeULFER5+Xj40NJSUlql+XGjRsEgHr16kX6+vrE5XIrVMyjDhiG0bmpQG1Ma0RHR9Py5cuLFdd4e3vLp350haqa+1cRyiqumTdvHs2bN4/1Yp7KDsMw5QaTmvJ5DMPIp+Lr1q1LAMje3r5CxTzqQNemTrXhg2XFNQMHDixWXLNmzRqdGUmuhl2qA0oN4u7uTlOnTlV7Ox/mEilSzFMe1cnKilFecY2mc750LbDXFSpaXMNWMY+Mz8GeNOXziP7ze6GhoQoV85TH56AntqhIcY0m/V61z9Ms1QGlBmAYhtLT06l58+b0999/q729sgy2vGKe8ti6dSuNHTtWIyMOuoKia+4pUlyjKce6b98++f9XVQerqJ5ULa5RtJinNKqyPWna5xGVbk8VKeYpj6qsp9JQ1JYYhlGouEYTfu9z8Hm6SHVAqSFevXpFlpaWdOXKFSJS79RieQZbVjHPqlWrPtkbT05OJmNjY7p58yYRKe54KgtisZj+/vtvcnFxoWHDhtHy5cs/+WPCMAxdvHiRxo0bp1BxjSYc67hx44jD4dDEiRPl+qoqDlZRPUmlUhKJRKwX15RVzHP37t1P2nlVtydN+jyi8u2prGKet2/fftZ6IlLcloiKFh1fvHgxNWvWTKHiGnX7vars83QdboW206lGaRiGAQDcuHEDtra26NmzJwCAw+GAtLTrJYfDQfv27bFu3TrEx8fj4sWL6NmzJ169egUut+xXwsjICF9++SVu3rwJADAwMMCbN2/Qq1cvbN26FQUFBZp6BLVw5coVhIeHY/DgwdiyZQsGDBiAAQMGYP369fj555+Rmppa6nX0//uHh4WFYcGCBYiOjsbNmzcxffp0WFhYaPgp/mPbtm24f/8+Zs2ahcjISHh7eyMrKws8Hg9SqVRrcqmKsnricrnYsGEDMjMzsXXrViQkJODEiRPw9PRUaRtEY2NjeHp64uTJk0hISMDWrVuRkZEBLpf7SRuvqvakiz4PACwtLTFjxgzcvHkT0dHR+Omnn/D48WPUrl37k9v2VVU9AcrbklQqRWxsLP744w/06tULFy9eRHx8PNatW8fqNoiKUlV9XmVBsc1Sq1EIIpIHaJGRkSAixMXFITw8HJmZmQgLC0ONGjWwadMmrcnI4/HQt29f9O3bF1KpVL7H6sdIpVKYmZmhdevWuH79On744Qfs3bsXv//+OywtLdGuXTvcvHkTR44cgYWFBby8vODg4KCFJ6oYRFTM6YlEIsyaNQvff/89WrdujenTp8vlr127NrZv346HDx+ib9++pd5v7dq1MDEx0an9c9+9e4cBAwbgp59+wrlz57Bz5054eXnBx8cH1tbWZepal2BTT1KpFCEhIahZs6ba5LWwsMB3332H77777pPnVTV7klEZfB4ANGvWDIsXL8Yvv/zySZutSnpi05Z4PB66deuGpKQkGBkZaewZyqMq+LxKjZZGRqs8Hw753759mzp27EgcDoe6du1KDRo0oHbt2tGECRNo8uTJrO+goM4phcDAQOrWrRu5uLhQs2bNaPny5fT+/XsSi8W0fPly+uabb2jYsGFkbm5OXl5eWl2yqCw+zHGTTYUMGzaM5s2bR8nJyfI9ZmXHbt68SXXr1mV9sV116cnHx4fCwsJIKpXKly0pLCwkX19fcnFxoT59+hTbElBXl8HRFT2pk6pgTzK06fOIqv3ep9AlW1KHnqqKz6vsVAeUauBDx3ru3Dlyd3enzp0706FDh+jBgwfEMAy9f/+eiIjS09NpwYIF9Oeff7LWPtsGK3ue/Px8OnjwIHE4HPryyy/pypUrJXIuZesYPn/+nNq3b0+bN28udg9ts27dOrKxsaGlS5fKl1BKTU2lrl270vbt24udK5P577//ps6dO9O7d+9YlUUdesrMzKTatWvTzp075Z9/qKMjR45Q//79qUePHvTkyRM6fPgwWVlZ0b///suKDGyhS3pim6pkTzK07fOIqv1eWeiaLbGpp6rk86oC1QGlGjl+/DgNHz6cOnfuTKGhocWOyV74J0+e0Jw5c6hJkyb022+/sdIumwYr67FmZmbS+PHjydHRkTgcDs2fP5+I/nuO0hynp6cneXh4UFZWlspysEVubi4dPnyYHBwcyMXFhdLS0ig6OppMTEzo7du3RFTyWRwdHWnlypWlHlMFtn8AZboYM2YMLViwgIj+k/dDuU+fPk1ubm7UsGFD0tfXp1WrVrHSPpvokp7YpKrZ08doy+cRVfu9stA1W2JTT1XJ51UFqpMJ1MTbt2+xbt06vH37Fv/88w+6du1aLCGdy+WCYRi0atUK33zzDZo0aYI1a9YgIiJCe0KXAo/Hw7Nnz9CzZ0/cvXsX27dvx6RJkxAbGwuxWCzPR5Hl5sgS8uPj46GnpwcigpmZmdbk/xhjY2OMGjUKZ8+ehVQqxYABAzBr1iy4urrCxMQEAIrlGQUGBiIuLg7ffPNNiWO6hky2Zs2a4fjx48jJyZF/9mFBxJAhQ+Dk5ITXr1/j999/x//+9z+tyVwWVVVPVc2ePqSq+DygaumpqtoSULV8XpVAi8FslSc4OFi+S0NZy/HExMTQtGnTyMnJSd4jVBW2eoBSqZQWLFhATZo0oaFDh8rzgi5cuEBmZmZl9sAfPHhA/fv3p27dusn3kNWlxYFlsmRkZND69euJw+GQh4cHERVfXqKgoICcnJxo6dKl8s/evXun1OLIpcGWnl6+fEmRkZHy6awLFy5Qhw4d5AsJE/33zBKJhB49ekR16tShuXPnqtSuutEVPbFFVbWnD9GWzyOq9nufQpdsiQ09VVWfV9mpDig1QFk70jx58oQmTpxI3bp1k+fcEKnuhNh0rGvXrqW//vqr2F6nT548oebNm9PJkyflnzEMQ1FRUfTtt99SnTp1yNvbmx4+fKhS++pENh1SUFBAy5Yto86dO1NeXl6xY9euXSNHR0e6e/cuHTt2jJydncnExKRE3pGysKGnN2/ekIODAxkaGlKHDh3IycmJxo4dSxwOh1auXElxcXHyaS0Z165dk08P6Tq6oCe2qMr29DGa9nlE1X6vPHTFllTVU1X3eZWZ6oBSg3xY2Xj37l3y8vKiHj160O7du+Wf65JjLQ2ZfG3atJHnoYSEhNCECROoQYMGNHz4cPlCxmXBMIzGctw+/EEoiyNHjlCrVq0oICCAiIp6tAzDkLe3N3E4HDIyMiILCwuaN28eq1WPbOnp0aNH9ODBAzp27BjNmTOHfv75Z+JwOMThcKhZs2ZUq1Yt6tOnD3l4eNB3330nr+jUJbKzs8t9J7SlJ3XClj3pKpryeUS67fcqsu85WzAMU+7i69q0JTb0VBV8XlWkeh1KDUBEePjwIQQCAQIDA5GcnIz169cjKSkJ06dPB5/PB4BKsUaWTL5vvvkGQUFBWLt2LRYuXIjevXvj5MmT+PLLL+XnlvU8HA4Hffr0Qc+ePcHn82Fvb8+qjBKJBBcvXoRIJMKxY8fw7NkzfPHFFyXOo/9fl619+/Zo0aIFTp48iTFjxoDH46GwsBBmZmZYsGABPD090b59e1ZlZJPWrVuDw+GgXbt28PDwAAC8evUKrVu3hru7O16+fImYmBjcvHkTenp6qF27tnYF/n9yc3MRGBgIoVCIJ0+eIDY2ttR8raqip9JQ1Z4kEgmCg4Oxc+dO8Pl8uLu7y/PitElV8nmA6npiGAarVq1CTEwMBAIB+vbtCz09dn9+nz9/DpFIBF9fX0yePBk//vhjiTaqii1VVp9X5dFqOPuZMWzYMKpTpw7179+f+vbtS0ePHpUfY7P3qqk9oomI7t27RwMHDiQej0fdunWjDRs2fHK7QYZhKCMjg77++msyNzcnANS5c2favHmzSmu3MQxDYWFhNHv2bLK2tiYA5ODgQCtXriy3d8owDC1atIgsLS01ul+vuqq8iYh++OEH6tixY4VGaDWJWCymoKAg4vP58m0qnZycaMeOHeWOqmhLT5pEUXsiIjp79iz16NGDAJCJiQkJBAIKCgoisVisIanLRlM+j0i3/R4R0ZYtW8jBwYEAkLW1Nc2ePZvu3Lmj0ghzQkICbd68mTp37kwAyNzcnL7++usSFfYfo01bUkeVN5Hu+rzPieqAUsOMHDmSOBwOHThwQP5ZZXasMrKysmjNmjXk4OAgz2Upj7y8PDp06BC5u7uTvr4+cblcGjRoEO3fv1+ebF0e0dHRtHz5crK3t5c76jlz5pS7j7IM2Tn37t2jS5cuFftM3ahDTzLZg4KCyM7OTp4jpc29bBmGodDQUJo1axZZWVkRAGrRogWtWrWq2GLD5d2DSDt60gbK2NPLly9p1apV1KJFCwJAVlZWNGvWLAoNDdXqd6UJn0dUOfwewzB0584dmjNnjrzja29vTytWrKDo6OgKt7l//34aOHAgcblc0tfXJw8PDzp06FCFgilt25K61gvVJZ/3uVIdUGqBnj17Uvv27SkpKUkthqwNx/ohsbGx9PjxYyKq+A9HWloa7dq1i1xcXAgA1ahRg7y8vOjUqVMlEvyTk5Np69at1K1bNwJApqamNH78eDp79qxOjMpUFHXq6d27d2RjY0PBwcGs37uiREVF0bJly8jOzo4AkI2NDc2dO5fCw8OrdDDINoraE8MwFB4eTnPnziUbGxsCQHZ2drRs2TKKiopSt7ilom6fR1T5/J5YLKazZ8/SuHHjyNTUlABQt27daNu2bSWqqgsLC+nUqVPk5eVFNWrUIADk4uJCu3fvLlbZXBlQl550wed97lQHlFqibdu2dP/+/VKPqepw2TTYsqo11UlcXBytXr2aWrVqRQDIwsKCpkyZQsuXLydXV1fi8Xikp6dHw4YNIz8/P8rNzdWofGwl2KvLscqS8hs1akRbtmxh9d7lkZSURFu2bCFHR0cCQGZmZjRhwgQ6f/589YiBFpBIJHTu3DmaMGGCPGhxdHSkLVu2aHyq81M+T5fsSVagoklyc3PJz8+Phg4dSnp6eqSnp0dDhw6lZcuW0ZQpU8jCwoIAUOvWrem3337TStEZW78F6pqZ0ZbPq+Y/qgNKLVHaav4yjhw5Ih+2VwY2DDYpKYnGjx9PAQEBWltLrbCwkLZv304tW7YkDodDAMjQ0JBcXV3p1q1bWpGJqGjKafHixbRs2TKVfnjY0FNGRkaZgdqGDRs08sOTk5NDQqGwWLA/fPhw8vf313iwX03Z5Obmkr+/Pw0fPpz09PSIx+ORq6sriUQi+daB6qQsnyeRSCgqKooiIiJUur+q9sQwDC1dupQWL15c4ZQbdXDz5k0aPHgwGRoaEgDicDjUqlUr2rFjh1Y6+ERFAb+/vz+NHz9e5Y6IqnqS5VqX9rukKZ9XTelUB5Q6xuvXr8nY2JiGDh2qtPNQ1WDfvXtH7du3Jxsbmwrn9bBFWcU1y5cvpwMHDrBezKMsf/75JwGgxYsXK30PVfUUGRlJtra2FBISUmpgq85Rlk8V15RXnFCN9klJSaEdO3boRDGPRCKhQYMGUd26dSkyMlLp+6hqT7/88gsBYH2P8YqQkJBAmzZtKlFcc+DAAVq2bBnrxTzKEB0dTTY2NtShQ4diy0Epiip6KiwspCFDhtCkSZM07vOqKZ/qgFIHOXfuHOnr65O3t7dSo4OqGGxubi45OztT7dq16dGjRwpfryyKFNewUczDBmvWrCEAtHHjRqWuV0VPsbGx9MUXX1Dbtm01tsYaG8U11egeulDMk5aWRm3atKH69esrPcKkij1t2LCBANDatWuValsZFCmuYaOYhw0ePnxItWvXJmdnZ6VnH5TVk0QiIS8vLzIwMKBz584p1XY16qU6oNRRDh8+TFwul7777juFnbqyBltQUECurq5kYmKikSllNoprFCnmUQcLFy4kAOTj46PwtcrqKSEhgZo3b07NmjWjhIQEhdtVlOrims8DbRfzvH37lpo1a0bNmzdXatZBWXvas2cPAaCff/5Z4TYVhY3iGkWKedTBrVu3yNjYmFxdXctd6qs0lNETwzA0bdo04nK5dOTIEYXbrEYzVAeUOozM0S1atEih65QxWIlEQp6enmRgYEDnz59XVNQKk5OTQ76+vjRkyBDWi2tKK+aZMWMG3bp1S22BD8MwNHXqVKUcnTJ6Sk9Pp3bt2lG9evUoNjZWQWkrTnVxzeeNtop5Xr58SfXq1aMvv/yS3r17p9C1ytiTrOM+bdo0tfqImzdv0owZM1gvrimrmMfX11et+cvnzp0jAwMDGjt2rML+QBk9/fzzz0p33KvRHNUBpY4jm4pZt25dha9R1GAZhqEpU6aorfcnFospODiYBAKBPN+ue/futH37drXk2zEMQ/fv36f58+dTvXr1CAA1a9aMFi9eTM+ePWO9PWWDcUX1lJOTQ927d6e6devSkydPlBX3k/evLq6p5mM0Xczz+PFjqlOnDvXo0UOh+ytqT6oERRXh2bNntHjxYmratCkBoC+++ILmz59PERERaglek5OTadu2bdS9e3d5Xuy4ceMoODhYLXmxR44cIS6XS1OnTlXoeRTV09q1a1VKLapGc1QHlJUAWbL4X3/9Ve65Oe/FdPjibTKwtafDF29TzvvyHcmCBQsIAO3du5cFaYv41M41MTExrLVTHhKJhC5evFhqMQ+b08WKpgsoqqf379/TwIEDydTUlMLCwtgSm8RiMZ05c6a6uKaaClFaMQ+fz2e9mCc0NJRMTU1p0KBBFZpWVdSebt68ScbGxjRkyBBWU2PKKq4JCQnR6Mh+dHQ0rVixokQxT1hYGKvBrI+PDwGghQsXVuh8RfXERvFjNZqDQ0RU1raM1egGRISZM2dix44dCAgIwOjRo4sdj0rKhig0HpeeJyM+PQ8fKpQDoGEdY/RxsALfsSHsrM2KXbtmzRosXLgQmzZtwpw5c1SWNSYmBiKRCCKRCC9evICNjQ3Gjh0LgUCAjh07lrpXs6bIz8/H6dOnIRKJcPr0aUilUvTv3x8CgQAjRoyAqampSvfPy8vD4MGD8ejRI1y9ehVt27YtdlxZPUmlUowdOxYnT55EUFAQ+vTpo5KcRIQ7d+5AKBQiICAAycnJaNGiBQQCAby9vdGkSROV7l/N50FsbCx8fX0hFArx7NkzWFlZYezYseDz+ejSpYvKth4SEoIhQ4bAzc0Nfn5+4PF4xY4ra08PHz5Er1690LZtWwQHB8PY2FglObOzs3H8+HEIhUJcuHABPB4PQ4cOBZ/Px7Bhw2BkZKTS/VWBiBAeHg6RSAQ/Pz8kJSXB3t4efD4ffD4fzZo1U7mNTZs2Yd68eVizZg1++umnEseV1dPBgwcxduxYzJgxA1u2bNHqb0c1FaM6oKwkMAyD8ePH4+DBgzhx4gQGDx6M1+l5WHTsEa5Fp4LH5UDKlK1K2XGX5hZYPaItGtQxxu7duzFt2jQsWbIEy5cvV1q2lJQUBAQEQCQS4fbt2zA1NcXIkSMhEAjQp08f6OnpKX1vdZGeno7Dhw9DKBTi2rVrqFGjBjw8PMDn8zFw4EDo6+srdd/MzEz06dMHCQkJuHbtGpo3b66SnurXroFvv/0W+/btw9GjR+Hm5qbsIyM6Oloe7EdFRcHGxgbe3t7g8/no0KFDtcOuRimICPfv34dQKISfnx8SExNhZ2cnD1qaN2+u9L0DAwMxatQoTJw4EX/99Rc4HI5K9lSQ/hbOzs744osvEBISgpo1ayoll1gsxrlz5yASiXD8+HHk5+fDxcUFAoEAX331FerUqaPsI6sNiUSCkJAQiEQiHD16FDk5OejWrRsEAgHGjBkDS0tLpe+9ZMkSrFy5Ert378aUKVMAQCU9PQm7Cjc3N3h6euKff/4Bl8tVWrZqNEd1QFmJEIvFGDVqFC5cuIBFe07hQGQBJAx90lA/hsflQI/LwVCbPGyeORrff/89/vjjD4WDidzcXJw4cQJCoRBnz54Fh8PB4MGDwefz4ebmpnKvX5O8evVKPtISGRkJCwsLeHp6QiAQwNHRUeHvJjk5GS4uLigsLMRPuwOx+dq/SuupzftIHF0/HwcOHIBAIFD00ZCcnCwP9kNDQ2FmZlYs2P941KeaalRBKpXKg5YjR44gJycHjo6O4PP58PT0hJWVlcL33L9/PyZMmID58+ej4+iZWHbyiVL2xOMAhTeFMHp7D9euXVM4gCIi3L59GyKRCAEBAUhNTUXr1q0hEAjg5eWFRo0aKfpoWiMvL6+Y/waAQYMGgc/nw93dXWH/TUSYPXs2tm3bBj8/P1DT7lh6Qjk9cUFIO7cTzrZcHDlyROnOfTWapzqgrGTk5+ej+zfLkdHQReV7Nc56hJCtP1W49yeRSHDx4kUIhUIcO3YMubm56N69u7yHa2FhobJM2oSI8ODBA4hEIvj6+uLt27do1qyZfBTPwcGhwveKj4+H89RV4LZ3V0UiABw4m6dD+PO4Cl+Vm5uL48ePQyQS4dy5c+BwOHB1dQWfz8fw4cMrVbBfTeUlLy8PJ0+ehEgkQlBQEIgIAwcOhEAggLu7O0xMTCp8r61bt+IXv+uo3Wu88gIRARwOvu1qjf+N6Fzhy54/fy4f2X/58iW++OILeHl5QSAQoF27dpV+ZD8lJQUHDx6ESCTCrVu3YGJigpEjR4LP56Nfv34VnmFiGAYTJ07EyZdi1HRRvPMrg4jA4XAwp09TzBnYUun7VKN5qgNKHWLt2rXw8fFBZGRkmUGe/514LDz6iLU214xsC88uDUs9tmvXLqxevRp+fn44dOgQ/P39kZSUBAcHB3m+XdOmTVmTRZeQSqW4cuUKRCIRDh8+jKysLHTu3BkCgQCpqak4dOiQzugpODgYX331Ff7++2+cOnUKx48fR25uLpycnMDn8zF69OhKH+xXU7mR2YxQKMTNmzdhYmICDw8PGBoa4saNG5+0JUBz9iSzpdu3b+PChQsQiUS4e/cuzM3N8dVXX0EgEKBnz55VdmQ/JiYGvr6+EIlEeP78OaytrTF27FhIpVKcP3++XD2Jbsfif4GRrMlTnp5iY2NVmqqvhl2qA0odISsrC02aNMH69esxadKkYsdOnDiBZcuWITIyElJDc5i07Y+aTmPB4Srv1N6/eYqMy3tRmBgDizo1MdbTE6tXr5YXpsTExGDfvn347bffIJVKdaq4RtN8WMxz6tQpSCQStG7dGgsWLICHhwfMzMwQEBCAkydPIjQ0FNHR0ajRsC2svH9TuW1x6mukX/wLBW8iYW5SA8OHDcXGjRthaWlZrLhm586dkEgk1cU11eg8smKef/75B1FRUTAzM8OkSZPA5/PRtGlT7N27FydPnsTTp08hFovRtLk9Ehv2hYGDarMyH9oSh6cH9+HDsHv7FnlAkp2djWPHjuH7779HdnY29PX1daa4RtN8WMwjEomQkpICa2trTJ8+XV7MM3fuXFy5cgVxcXF4//49vqjfEOk2nWDSZQS4BjWUbrs8Pclo3749+vbti40bN6r6uNWwRHVAqSNs3rwZS5cuRVJSUjHHFRQUhKFDh6J3797Ia+CIp5FPkBV+GqbtB6HuoBlKtVWY9BKJB+ZDv24DmHcYDBteLqIu+MHJyQkjRowoVlzTqFEjpKam4vXr19W5LABWr16NlStXolOnTrhx44a8mOfRo0eIi4tDly5dcCM0HFyLRrBWMaCUZKUiYe8scA1NULOLGxqYcvDqcgCsra3x1Vdfwd/fH9HR0bC1tUWrVq1w48YNJCUlwdzcnKWnraYa9bFp0yYsXrwYX3/9NQ4dOoTExETY2toiKSkJffv2xbBhw6Cnp4eV2/Yi6Vk4ajp5oZYLX6m2PrQls87DAfF75N45jhbNG2P58uUICAhAYGAg8vPz0bx5c8THx+PFixeVKi9SXWzYsAFLlizBiBEjEBgYKC/mSU5ORr9+/dC2bVsYGRlhvW8woq6dhIGtHaz5v4PDUbyQpiw9tbRrgrCwMBgYGMjP3blzJ+bPn4/ExESYmZl94q7VaIrq0ikdYe/evXBzcyvRC54/fz7atWuH7QeOILGeM2r3nwrz7qORcz8Y4rTXSrX17so/4BqZwtr7N5i0d0V226/QpFV7hISEYPbs2bCwsJAvMfHPP/8gKSkJ165dY+MxP8nly5fB4XDK/JMtlzNr1ix06tQJhoaGaN++vdrl+pCAgAB89dVXuH79OuLi4rB48WI8ePAAjx8/hqGhIRq06QoyrgU2+mmZtw6CxAWw9voVpp2G453DMNRtYIdnz55h3bp1cHJywvnz5/H69Wv4+vpCLBbj8OHDLDzl50dF3r20tDQMHjwY9erVK9J1gwb4/vvvkZWVpW3xKyX79u3DiBEjsGXLFrx58wbnz59H9+7dYWRkhAsXLsDPzw8pBTwYui+DUaN2yLx9GEzhe6Xa+tCWzDu7wbz7GNRy+wkPHz7EiBEj8OjRIyxZsgRxcXG4ceMGpFIpLl68yPITl6Qy+Lz9+/dj5MiREAqFSEpKgp+fH+rWrYv4+Hj4+PggODgYuXrmKOj2NWr1HIeCN5EofPtCqbbK0tODBw+wb9++YueOGjUKBQUFOHToEAtPWQ0bVAeUOkBsbCwePnyI/v37F/s8MjISkZGRmDJlCgLC34LHLZpmNuswBAAh99kNhdtiCvLwPi4CJq17g2tYVJxBjBScFgNgaGgILy8vnDx5EmPHjoWxsTE6deqEOnXqIDAwUOXnLI8ePXogISGhxN/u3bvB4XAwffp0+blff/01PD091S7Th3ysp0aNGuHnn3/G48ePcf/+fUyaNAkh8YWstZf3/CZqNO8CvZpFlbHESGHuOAK2trbo3r079u3bh/79+4PH48HKygrt2rXTiJ6qIhV597hcLtzd3XHixAm8ePEC+/btw4ULFzBt2jRti1/p+NiWeDwe+vfvjyNHjiAlJQX+/v6wsrLCtrMPAGJQw647IBVDkpGoVHsf2xIAGDVsC+Pa1nB0dMSjR4+wcOFCNGrUSKO2VNl8nrGxMcaOHYtTp07h7du3+OOPP/Du3Tus8A0BMVLwaloDAJiCXKXaK01Ppk07oG69xjh48GCxc6t9nu6hewsEfobcvHkTANCxY8din9+/fx8A0LlzZ/x4JVm+/IKeWV3wzCwgTnqpcFuFKXEAI4WBjZ38Mw6XB8uOfVH39WU8ffq0xDUdO3bEjRuKB6+KYmBgABsbm2KfPX36FPPnz8eiRYvkC7pv2bIFQFF14sOHD9Uul4yy9MThcNC+fXu0b98eoetCkHTjiMptSbJTweRlwMDmvzX8OFweTO0d0a9fP5w5c6bENZ06dcLx48dVbvtzpKLv3nfffSc/3qhRI0yfPh3r1q3TqKxVgbJsCSgKWjw9PeHp6Qnn3y/gTWYBpLnvAABcY8XTOUqzJeD/7alJW0RF3SuRE64pW6qsPg8ALC0tMXXqVHh6emLw+vN4HfcAGdcOgGNQAwa29gq3VZaepAyBZ9Mc9+/fK3FNtc/TLapHKHWAZ8+eAUCJIoqEhAQAgHkdS8Sn5xU7xjOtDUlOmsJtSXPS5dd/SHxaHiytbfD27dsS1zRt2hSRkexV7lWUjIwMuLu7o3fv3li5cqXG2/+YsvQkI6dAgtfp+ay0Jc0p+gHlmRZfIDk+LQ8WVtZIT09HQUFBsWNNmzZFamoqkpOTWZHhc6Yi797bt29x9OhR9OrVS8PSVX7Ks6X/a+/+g5q87ziAvwOBWEBCARXagsyB0mFc77S2imxBz3rb0LXWWn8OD/6Y/ww31/bQnnL2vE6tq73uwHYDqe3oab2hrmJb6yhGVy0IS2e1FrBEVw/KD0ESjAkh2R9pIjG/8zxoAu/XnXfek+dH4PN8vnye5/k+3y9gzafrNw0Y0muh+/IEZI9kQRrj/4Dh7nIJAG5HxAZVLoVam3f+/HlMmDABjTtXofPgVsACTHx2C8If8L9PYyjFiVzjHcog0NPTA6lU6jT1n15vLU46bw3h7h55kvBImI234C+LyfjD9o4v2FgA9PQPQKfToanJ8UrQYDBAr9fbX0IRKj093euLI2azGatWrYJUKkVVVZWgt8o1Gg1u3LgR8PY2ly9fRnh4OJqbXfcPausbdIpToCwma8PpKk7fdVob3nPnzjl0RtdqtQAAlUo1aodzEsqXGYG8nXsrV660v8CxePFilJeXu9yPbQYZcuYtlwBrPpktZnR/uBtmgw7xC38b0LHc5ZJ1mfUlj5HOpfj4eKSlpXlcR8w2r7+/H62trQFvb+MtTkajEVt3vYm95zphuP41bmvUMA8G1s/Vlzjp9XrIZDL78gcftN4Y6e7uDmjQfBIXC8ogZiveBm453/WyDBkhkUY6LffGto1laNDpszOnT8N8W4eZM2e63HbevHl+H8+VEydOYOHChR7X2bx5M86ePYv6+nrBb/CVlJTg3XffFbSP4dz9fiKTpyI5X5whLCRSa6PpKk7Vhw8DAJRKpctt757rne4wmUxexxD0du7t2bMHJSUlaG5uxqZNm7Bx40aUlZU5rWc2m92eK2Tl6fcTmTwVkckZuP1tIxLyNiJyUmCFnadcsgxZL7BHOpfWrl3rtQ0Ss82rr6/32sb6w1uckvNfR9TUJzFwsQ5d/9iO5HVv+B0vX+J09w0N28uPY2kYu2DGgjIIJCQkwGQyQavVOjQkycnJAICbPV1O2wzpeiELoJ+K7XGC7fHCcFPTfwyYDKiqqnJYvn37dnz00Uei9aP0NrfvgQMHsHv3btTU1CAjI8Pjur7Ytm0bNmzYIHg/ZWVlqKiogEqlcjnLR1vfIP74abfg4wB3uiTYuigMN2/OE/iy4Sxqa2sdlu/btw+lpaU4efKk/cqdHHmbFcqXcy8pKQlJSUnIzMxEfHw8cnJysGXLFnu+Dj9WY2OjaN99NPGWSwCw8829+GB/OeKU6xAzfX7Ax/KUS0O6XsSMj8Wpus8cloudS97m9ha7zZs9e7Yo554vcRre7kVNmwscex0DX6v8Lii9xUke96DD3UkA6O21/h3jxA3BgQVlEMjMzARgfaNuxowZ9uW24SHar1yEBFPsj1NN2h4MabsR8dgiv48VmTgZCAuHsaMF0Y8OGyh4aBDfaa5g+fLlTh2wtVotsrKyXHbMFptarUZhYSF27NiBRYv8//lcSUtL8/q4yRe5ubmoqKiAXC53iJPNNIMJL3z6ieDjAIB0fCLCouQwdjg+tpIAaL/6LWbOnOkUj7179yIxMRELFiwQ5TuMNYGce2azGQCc+nYB1rsm9yJnQpG3XCotLcUH+8sRO+vXkD+5TNCx3OUSABjam5F9n3NpJNq82NhYUc49b3EC7rR7FgAW0yBgMcNs8L87lrc4zXIxXFJbWxsSExM5W06Q4Es5QWDOnDkArB2ch8vKykJmZib276tAStydKzPdf44DkCB6mv+PoMPGRWNc2mMYuFjnkPSRmn9Dp9O5fMTT1NSEuXPn+n0sf3V3d+Ppp5+GUqnEmjVr0NHR4fCvq8t6p7a1tRVqtRodHR3Q6/VQq9VQq9UwGsUbsscVd3GyiZZJkRov3jzZUdPmQt/aAFP/nTvU429cRktLs8s4NTY22r8j+ceXc+/48eOorKzEV199BY1Gg5qaGqxfvx7Z2dmiXLCMJZ5y6eDBgygqKsLq1avx0+eKRDmeq1zSa9Qw3biOFc8vd1r/XuVSqLZ5fX19GBy0Ppoe3u7pvrReUMuSPD+FcidY40S+4Uw5QUKhUEChUOD99993WH7s2DEsWbIEaYrZ0D48G4ZODbRNNYiZsRAJv/idfT1T3/e4/lYhoqcvQGLeHzwey9DRio73XkRkYipiHlsEs7YHuvNHMF/5c3zyieMdtsbGRsyaNQsnT54c8av1/fv3Y926dW4/nzx5MjQaDZRKJU6dOuX0eVtb24j/YXcXJ5VKBZVKhdrLnVAdfg+IkCFmhrUP07iU6RiXOt2+7tUdeZClTEfS6h0ej2Xq70J75YYfZo1YAphuQ3/+MDJ+NBkNDQ0Oj386Ozvx0EMP4e2330ZhYaGIP/HY4Mu5V1lZiZdffhmXLl2CwWBASkoKli5diuLiYsTFxd2z7zpauMql+vp65OTkQC6XY+fOnfjwwvc4c6UbP9wIhuyRRxERd2eYnUBzyTKoR/8X1UiclIxr31y4b7kUqm3ekSNHUFRUhGXLliEjIwNHm67izOkzGPjmc0QmpSNp7S6Hl2tCPU7kGz7yDhIFBQXYunUr9Hq9Q8fjvLw8VFdXY/OWErSdeAvhUXLI5zwHefZKh+3Ng9YXd+4eDsgVWVI6Jq3Yjr66d9D7r3JIIh/AqjW/Qdkbf3Za99ChQ0hNTcX8+YH3YfJVfn4+8vPzva5XV1c34t/FHXdxqq2txbZt2xzWvXn679b/ZK+0F5Rmoy1O3oc/kcZOwKRVf0JvbTn6Tr0DSZgUeXm/wl9L33TqS1RdXQ2ZTIbly52v4sk7X88927h8JJyrXLp06RKMRiO6urpQUFDgtE3CL39vLyiF5tID6Y/j6IHy+5pLodrmKRQK5Obm4ujRo2hvb4fZYoE5ZiLk2SsQ+8SzDsXkaIgT+YZ3KIPEzZs3MWXKFOzatcvt1dbaii/w+bc99gHOh9M21aD3s0o8vP5vCI/2vRN5eJgEc6ck4L3CJ5w+MxgMSEtLQ3FxsSgvtYwGQuOkv9KAzkOvILngL4icmObzcT3FCbAOh6NUKrFnzx6f90l0P/mSS4D7fAo0lwDP+cRccsQ4ka/YhzJIyOVyvPTSS3jttdfsHf3v9uozCkjDXA+PcPvqfzF+1mK/ikkAkIZJ8OozCpefVVZWIiIiglPLDSM8ThcQ9ZOf+d2weorTxx9/jJaWFmzatMmvfRLdT77kEuA+nwLNJcB9PjGXnDFO5CveoQwxBxquobj6gmj727lUgecfTxVtf2TFOBGJh/kUGhinsY13KEPMisdT8cJT/o8/6cqLT01jso4QxolIPMyn0MA4jW28QxmiDjRcQ8k/L8Jktrjsq+dOeJgE0jAJXlmSxWS9BxgnIvEwn0ID4zQ2saAMYf+7cQubD1/A6dZuhIdJPCau7fOc9ES8+owCKSKOl0ieMU5E4mE+hQbGaexhQTkKtHyvRdUX1/BZcyeu9dzC8IBKAKQmRCF36kSseTIV6ROFzRFLgWOciMTDfAoNjNPYwYJylBkwmKDpGYDRZEakNAxpCdGIlnG40WDDOBGJh/kUGhin0Y0FJREREREJwre8iYiIiEgQFpREREREJAgLSiIiIiIShAUlEREREQnCgpKIiIiIBGFBSURERESCsKAkIiIiIkFYUBIRERGRICwoiYiIiEgQFpREREREJAgLSiIiIiIShAUlEREREQnCgpKIiIiIBGFBSURERESCsKAkIiIiIkFYUBIRERGRICwoiYiIiEgQFpREREREJAgLSiIiIiIShAUlEREREQnCgpKIiIiIBGFBSURERESCsKAkIiIiIkFYUBIRERGRICwoiYiIiEgQFpREREREJAgLSiIiIiIShAUlEREREQnCgpKIiIiIBGFBSURERESCsKAkIiIiIkFYUBIRERGRICwoiYiIiEgQFpREREREJAgLSiIiIiIShAUlEREREQnCgpKIiIiIBPk/w2zBVTDLOW8AAAAASUVORK5CYII=", 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", 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", 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" ] @@ -965,17 +974,17 @@ "output_type": "stream", "text": [ "Estimating RuCl row 13 using Trotterization\n", - "Time to estimate number of trotter steps required (215647636): 39.40383041696623 seconds\n", - "Time to find term ordering: 0.026442583999596536 seconds\n", - "Time to generate trotter circuit from openfermion: 1.4998950064182281e-06 seconds\n", - "Time to generate a clifford + T circuit from trotter circuit: 169.1734029169893 seconds\n", - "Total time to estimate RuCl row 13: 278.1761444999138 seconds\n", + "Time to estimate number of trotter steps required (215647636): 54.85313670800019 seconds\n", + "Time to find term ordering: 0.025938208999832568 seconds\n", + "Time to generate trotter circuit from openfermion: 1.7920001482707448e-06 seconds\n", + "Time to generate a clifford + T circuit from trotter circuit: 264.09563987499996 seconds\n", + "Total time to estimate RuCl row 13: 418.57945087500025 seconds\n", "\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1013,8 +1022,6 @@ " size=f'lattice_size: 32',\n", " task='Time-Dependent Dynamics',\n", " implementations=f'trotterization, JT={evolution_time}, gate_synth_accuracy=1e-10, energy_precision={energy_precision}',\n", - " value_per_circuit=939.8496240601503,\n", - " repetitions_per_application=140\n", " )\n", "\n", " print(f'Estimating RuCl row {i} using Trotterization')\n", @@ -1062,26 +1069,26 @@ "output_type": "stream", "text": [ "Estimating RuCl row 13 using QSP\n", - "Time to generate high level QSP circuit: 110.45756895805243 seconds\n", - " Time to decompose high level Date: Fri, 17 May 2024 23:27:39 -0600 Subject: [PATCH 26/30] Reran magnetic lattice notebook with removed utility estimates --- notebooks/MagneticLattices.ipynb | 196 ++++++++++++++----------------- 1 file changed, 88 insertions(+), 108 deletions(-) diff --git a/notebooks/MagneticLattices.ipynb b/notebooks/MagneticLattices.ipynb index bc6d8a9..bf3f66d 100644 --- a/notebooks/MagneticLattices.ipynb +++ b/notebooks/MagneticLattices.ipynb @@ -95,7 +95,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -115,7 +115,7 @@ "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -135,7 +135,7 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -231,8 +231,6 @@ " size=f'lattice_size: {square_lattice_size}',\n", " task='Time Dependent Dynamics',\n", " implementations=f'QSP, JT={evolution_time}, numsteps={numsteps}, required_precision={required_precision}',\n", - " value_per_circuit=0.01,\n", - " repetitions_per_application=100\n", ")\n", "uid += 1\n", "\n", @@ -243,8 +241,6 @@ " size=f'lattice_size: {triangle_lattice_size}',\n", " task='Time Dependent Dynamics',\n", " implementations=f'QSP, JT={evolution_time}, numsteps={numsteps}, required_precision={required_precision}',\n", - " value_per_circuit=0.01,\n", - " repetitions_per_application=100\n", ")\n", "\n", "uid += 1\n", @@ -256,8 +252,6 @@ " size=f'lattice_size: {cubic_lattice_size}',\n", " task='Time Dependent Dynamics',\n", " implementations=f'QSP, JT={evolution_time}, numsteps={numsteps}, required_precision={required_precision}',\n", - " value_per_circuit=0.01,\n", - " repetitions_per_application=100\n", ")\n", "uid += 1" ] @@ -272,17 +266,17 @@ "output_type": "stream", "text": [ "Estimating Square\n", - "Time to generate high level QSP circuit: 0.07907091600282001 seconds\n", - " Time to decompose high level Date: Sat, 18 May 2024 00:22:06 -0600 Subject: [PATCH 27/30] Reran quantum chem notebook with removed utility estimates --- notebooks/PhotosynthesisExample.ipynb | 351 ++++++++++++++++++++++++-- 1 file changed, 331 insertions(+), 20 deletions(-) diff --git a/notebooks/PhotosynthesisExample.ipynb b/notebooks/PhotosynthesisExample.ipynb index dd0f1f4..6a350a2 100644 --- a/notebooks/PhotosynthesisExample.ipynb +++ b/notebooks/PhotosynthesisExample.ipynb @@ -43,9 +43,18 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jonhas/anaconda3/envs/other_qca/lib/python3.11/site-packages/attr/_make.py:918: RuntimeWarning: Running interpreter doesn't sufficiently support code object introspection. Some features like bare super() or accessing __class__ will not work with slotted classes.\n", + " set_closure_cell(cell, cls)\n" + ] + } + ], "source": [ "import re\n", "import sys\n", @@ -78,7 +87,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 2, "metadata": {}, "outputs": [], "source": [ @@ -108,7 +117,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 3, "metadata": {}, "outputs": [], "source": [ @@ -171,7 +180,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 4, "metadata": {}, "outputs": [], "source": [ @@ -194,7 +203,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -210,9 +219,142 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 6, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Time to perform a HF calculation on molecule 0 : 68.949740625\n", + "Number of orbitals : 100\n", + "Number of electrons : 148\n", + "Number of qubits : 200\n", + "Hartree-Fock energy : -3479.3603932694523\n", + "Number of unoccupied Molecular orbitals are: 26\n", + "Number of occupied Molecular orbitals are: 74\n", + "active_space start : 67\n", + "active_space stop : 76\n", + "In the Molecular Orbital Basis: we have 18 qubits\n", + "In the Molecular Orbital Basis: we have 13 qubits occupied\n", + "In the Molecular Orbital Basis: we have 5 qubits unoccupied\n", + "Time to generate a molecular hamiltonian for molecule 0 : 68.96069237500001\n", + "\n", + "Time to perform a HF calculation on molecule 1 : 107.30062508300011\n", + "Number of orbitals : 99\n", + "Number of electrons : 147\n", + "Number of qubits : 198\n", + "Hartree-Fock energy : -3478.738701637253\n", + "Number of unoccupied Molecular orbitals are: 26\n", + "Number of occupied Molecular orbitals are: 73\n", + "active_space start : 66\n", + "active_space stop : 75\n", + "In the Molecular Orbital Basis: we have 18 qubits\n", + "In the Molecular Orbital Basis: we have 13 qubits occupied\n", + "In the Molecular Orbital Basis: we have 5 qubits unoccupied\n", + "Time to generate a molecular hamiltonian for molecule 1 : 107.31935212500002\n", + "\n", + "Time to perform a HF calculation on molecule 2 : 104.47120604200018\n", + "Number of orbitals : 98\n", + "Number of electrons : 146\n", + "Number of qubits : 196\n", + "Hartree-Fock energy : -3478.0268215145597\n", + "Number of unoccupied Molecular orbitals are: 25\n", + "Number of occupied Molecular orbitals are: 73\n", + "active_space start : 66\n", + "active_space stop : 75\n", + "In the Molecular Orbital Basis: we have 18 qubits\n", + "In the Molecular Orbital Basis: we have 13 qubits occupied\n", + "In the Molecular Orbital Basis: we have 5 qubits unoccupied\n", + "Time to generate a molecular hamiltonian for molecule 2 : 104.48881208300008\n", + "\n", + "Time to perform a HF calculation on molecule 3 : 101.92613204100007\n", + "Number of orbitals : 97\n", + "Number of electrons : 145\n", + "Number of qubits : 194\n", + "Hartree-Fock energy : -3477.3642833706685\n", + "Number of unoccupied Molecular orbitals are: 25\n", + "Number of occupied Molecular orbitals are: 72\n", + "active_space start : 65\n", + "active_space stop : 74\n", + "In the Molecular Orbital Basis: we have 18 qubits\n", + "In the Molecular Orbital Basis: we have 13 qubits occupied\n", + "In the Molecular Orbital Basis: we have 5 qubits unoccupied\n", + "Time to generate a molecular hamiltonian for molecule 3 : 101.94568966700035\n", + "\n", + "Time to perform a HF calculation on molecule 4 : 103.03665000000001\n", + "Number of orbitals : 97\n", + "Number of electrons : 145\n", + "Number of qubits : 194\n", + "Hartree-Fock energy : -3477.4063820501306\n", + "Number of unoccupied Molecular orbitals are: 25\n", + "Number of occupied Molecular orbitals are: 72\n", + "active_space start : 65\n", + "active_space stop : 74\n", + "In the Molecular Orbital Basis: we have 18 qubits\n", + "In the Molecular Orbital Basis: we have 13 qubits occupied\n", + "In the Molecular Orbital Basis: we have 5 qubits unoccupied\n", + "Time to generate a molecular hamiltonian for molecule 4 : 103.0573130419998\n", + "\n", + "Time to perform a HF calculation on molecule 5 : 104.95167087499976\n", + "Number of orbitals : 97\n", + "Number of electrons : 145\n", + "Number of qubits : 194\n", + "Hartree-Fock energy : -3477.327325526494\n", + "Number of unoccupied Molecular orbitals are: 25\n", + "Number of occupied Molecular orbitals are: 72\n", + "active_space start : 65\n", + "active_space stop : 74\n", + "In the Molecular Orbital Basis: we have 18 qubits\n", + "In the Molecular Orbital Basis: we have 13 qubits occupied\n", + "In the Molecular Orbital Basis: we have 5 qubits unoccupied\n", + "Time to generate a molecular hamiltonian for molecule 5 : 104.97263141599979\n", + "\n", + "Time to perform a HF calculation on molecule 6 : 116.40710333300012\n", + "Number of orbitals : 104\n", + "Number of electrons : 155\n", + "Number of qubits : 208\n", + "Hartree-Fock energy : -3552.60973107108\n", + "Number of unoccupied Molecular orbitals are: 27\n", + "Number of occupied Molecular orbitals are: 77\n", + "active_space start : 70\n", + "active_space stop : 79\n", + "In the Molecular Orbital Basis: we have 18 qubits\n", + "In the Molecular Orbital Basis: we have 13 qubits occupied\n", + "In the Molecular Orbital Basis: we have 5 qubits unoccupied\n", + "Time to generate a molecular hamiltonian for molecule 6 : 116.43023395799992\n", + "\n", + "Time to perform a HF calculation on molecule 7 : 104.45531666700026\n", + "Number of orbitals : 94\n", + "Number of electrons : 139\n", + "Number of qubits : 188\n", + "Hartree-Fock energy : -3404.6945275349126\n", + "Number of unoccupied Molecular orbitals are: 25\n", + "Number of occupied Molecular orbitals are: 69\n", + "active_space start : 63\n", + "active_space stop : 71\n", + "In the Molecular Orbital Basis: we have 16 qubits\n", + "In the Molecular Orbital Basis: we have 12 qubits occupied\n", + "In the Molecular Orbital Basis: we have 4 qubits unoccupied\n", + "Time to generate a molecular hamiltonian for molecule 7 : 104.47795287500003\n", + "\n", + "Time to perform a HF calculation on molecule 8 : 110.05950737500007\n", + "Number of orbitals : 101\n", + "Number of electrons : 149\n", + "Number of qubits : 202\n", + "Hartree-Fock energy : -3479.695163349443\n", + "Number of unoccupied Molecular orbitals are: 27\n", + "Number of occupied Molecular orbitals are: 74\n", + "active_space start : 67\n", + "active_space stop : 76\n", + "In the Molecular Orbital Basis: we have 18 qubits\n", + "In the Molecular Orbital Basis: we have 13 qubits occupied\n", + "In the Molecular Orbital Basis: we have 5 qubits unoccupied\n", + "Time to generate a molecular hamiltonian for molecule 8 : 110.08065941600034\n", + "\n" + ] + } + ], "source": [ "def generate_electronic_hamiltonians(coordinates_pathway:list) -> list:\n", " molecular_hamiltonians = []\n", @@ -312,9 +454,42 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 7, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'num_qubits': 13, 't_count': 0, 'circuit_depth': 1, 'gate_count': 13, 't_depth': 0, 'clifford_count': 13}\n", + "5: ────X───\n", + "\n", + "6: ────X───\n", + "\n", + "7: ────X───\n", + "\n", + "8: ────X───\n", + "\n", + "9: ────X───\n", + "\n", + "10: ───X───\n", + "\n", + "11: ───X───\n", + "\n", + "12: ───X───\n", + "\n", + "13: ───X───\n", + "\n", + "14: ───X───\n", + "\n", + "15: ───X───\n", + "\n", + "16: ───X───\n", + "\n", + "17: ───X───\n" + ] + } + ], "source": [ "def prepare_initial_state(mi: molecular_info) -> cirq.Circuit:\n", " circuit = cirq.Circuit()\n", @@ -354,7 +529,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": {}, "outputs": [], "source": [ @@ -368,9 +543,142 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Time to generate circuit for GSEE: 8.654200019009295e-05 seconds\n", + " Time to decompose high level Date: Sat, 18 May 2024 00:46:01 -0600 Subject: [PATCH 28/30] reran HTSC notebook with removed utility estimates --- ...HighTemperatureSuperConductorExample.ipynb | 181 ++++++------------ 1 file changed, 63 insertions(+), 118 deletions(-) diff --git a/notebooks/HighTemperatureSuperConductorExample.ipynb b/notebooks/HighTemperatureSuperConductorExample.ipynb index 14ce92f..a8fcbb4 100644 --- a/notebooks/HighTemperatureSuperConductorExample.ipynb +++ b/notebooks/HighTemperatureSuperConductorExample.ipynb @@ -50,11 +50,20 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 1, "metadata": { "tags": [] }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/jonhas/anaconda3/envs/other_qca/lib/python3.11/site-packages/attr/_make.py:918: RuntimeWarning: Running interpreter doesn't sufficiently support code object introspection. Some features like bare super() or accessing __class__ will not work with slotted classes.\n", + " set_closure_cell(cell, cls)\n" + ] + } + ], "source": [ "import time\n", "\n", @@ -64,16 +73,14 @@ "\n", "from networkx import get_node_attributes, draw, draw_networkx_edge_labels\n", "\n", - "from pyLIQTR.PhaseEstimation.pe import PhaseEstimation\n", - "\n", - "from qca.utils.utils import circuit_estimate, EstimateMetaData\n", + "from qca.utils.utils import EstimateMetaData\n", "from qca.utils.algo_utils import gsee_resource_estimation\n", "from qca.utils.hamiltonian_utils import generate_two_orbital_nx, nx_to_two_orbital_hamiltonian" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "metadata": { "tags": [] }, @@ -95,7 +102,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "metadata": { "tags": [] }, @@ -114,7 +121,7 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "metadata": { "tags": [] }, @@ -143,9 +150,6 @@ "\n", "init_state_one_band = [0] * n * n * 2 #TODO: use Fock state from Hartree-Fock as initial state\n", "\n", - "total_value = 300000\n", - "repetitions = 40 * 10\n", - "value_per_circuit = total_value/repetitions\n", "one_band_metadata = EstimateMetaData(\n", " id=2000,\n", " name='FermiHubbard_One_Band',\n", @@ -153,22 +157,7 @@ " size=f'{n}x{n}',\n", " task='Ground State Energy Estimation',\n", " implementations=f'GSEE, evolution_time={t_one_band}, bits_precision={bits_precision_one_band}, trotter_order={trotter_order_one_band}',\n", - " value_per_circuit=value_per_circuit,\n", - " repetitions_per_application=repetitions\n", - ")\n", - "\n", - "# t0 = time.perf_counter()\n", - "# gse_inst_one_band = PhaseEstimation(\n", - "# precision_order=1, #actual precision bits accounted as scaling factors in the resource estimate\n", - "# init_state=init_state_one_band,\n", - "# phase_offset=one_band_phase_offset,\n", - "# include_classical_bits=False, # Do this so print to openqasm works\n", - "# kwargs=args_one_band)\n", - "# gse_inst_one_band.generate_circuit()\n", - "# t1 = time.perf_counter()\n", - "# print(f'One band GSEE time to generate high level Circuit: {t1 - t0}')\n", - "\n", - "# gse_circuit_one_band = gse_inst_one_band.pe_circuit" + ")" ] }, { @@ -180,7 +169,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "metadata": { "tags": [] }, @@ -190,18 +179,18 @@ "output_type": "stream", "text": [ "Estimating one_band\n", - "Time to generate circuit for GSEE: 0.0008059589999902528 seconds\n", - " Time to decompose high level Date: Sat, 18 May 2024 06:47:32 +0000 Subject: [PATCH 29/30] Updated pylint badge --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 6228e29..55d6afb 100644 --- a/README.md +++ b/README.md @@ -1,4 +1,4 @@ -![pylint](https://img.shields.io/badge/PyLint-9.49-yellow?logo=python&logoColor=white) +![pylint](https://img.shields.io/badge/PyLint-9.50-yellow?logo=python&logoColor=white) # Quantum Computing Application Specifications Documentation of Applications for Quantum Computers From 6c5584ebcd315c25156d43b5c96d4b1edf0b7693 Mon Sep 17 00:00:00 2001 From: Zachary Alexander Morrell Date: Mon, 20 May 2024 09:32:05 -0600 Subject: [PATCH 30/30] Reset default values for HTSC scripts --- scripts/HTSC-one-band-RE.py | 26 +++++++++++++------------- scripts/HTSC-two-band-RE.py | 4 ++-- 2 files changed, 15 insertions(+), 15 deletions(-) diff --git a/scripts/HTSC-one-band-RE.py b/scripts/HTSC-one-band-RE.py index b396454..57065d7 100644 --- a/scripts/HTSC-one-band-RE.py +++ b/scripts/HTSC-one-band-RE.py @@ -23,21 +23,21 @@ def main(args): value = args.value repetitions = args.repetitions circuit_write = args.circuit_write - + ham = of.fermi_hubbard(lattice_size, lattice_size, tunneling=tunneling, coulomb=coulomb, periodic=False) #returns an aperiodic fermionic hamiltonian - + trotter_order = 2 trotter_steps = 1 #Using one trotter step for a strict lower bound with this method - + #this scales the circuit depth proportional to 2 ^ bits_precision bits_precision = estimate_bits_precision(error_precision) - + E_min = -len(ham.terms) * max(abs(tunneling), abs(coulomb)) E_max = 0 omega = E_max-E_min t = 2*np.pi/omega phase_offset = E_max*t - + args = { 'trotterize' : True, 'mol_ham' : ham, @@ -45,10 +45,10 @@ def main(args): 'trot_ord' : trotter_order, 'trot_num' : 1 #handling adjustment in resource estimate to save time - scales circuit depth linearly. } - - + + init_state = [0] * lattice_size * lattice_size * 2 #TODO: use Fock state from Hartree-Fock as initial state - + print('starting') metadata = EstimateMetaData( id=time.time_ns(), @@ -58,7 +58,7 @@ def main(args): task='Ground State Energy Estimation', implementations=f'GSEE, evolution_time={t}, bits_precision={bits_precision}, trotter_order={trotter_order}', ) - + t0 = time.perf_counter() gse_inst = PhaseEstimation( precision_order=1, #actual precision bits accounted as scaling factors in the resource estimate @@ -69,9 +69,9 @@ def main(args): gse_inst.generate_circuit() t1 = time.perf_counter() print(f'One band GSEE time to generate high level Circuit: {t1 - t0}') - + gse_circuit = gse_inst.pe_circuit - + print('Estimating one_band') t0 = time.perf_counter() estimate = circuit_estimate( @@ -100,8 +100,8 @@ def parse_arguments(): parser.add_argument('-mu', '--param-mu', type=float, default=1) parser.add_argument('-n', '--name', type=str, default=f'FermiHubbard-OneBand', help='name of this circuit instance, becomes prefix for output file') parser.add_argument('-d', '--directory', type=str, default='./', help='output file directory') - parser.add_argument('-v', '--value', type=float, default=300000, help='value of the total application') - parser.add_argument('-r', '--repetitions', type=int, default=400, help='repetitions needed to achieve value of computatation (not runs of this script)') + parser.add_argument('-v', '--value', type=float, default=0, help='value of the total application') + parser.add_argument('-r', '--repetitions', type=int, default=1, help='repetitions needed to achieve value of computatation (not runs of this script)') parser.add_argument('-c', '--circuit_write', default=False, action='store_true') return parser diff --git a/scripts/HTSC-two-band-RE.py b/scripts/HTSC-two-band-RE.py index 4fea866..f4999fe 100644 --- a/scripts/HTSC-two-band-RE.py +++ b/scripts/HTSC-two-band-RE.py @@ -106,8 +106,8 @@ def parse_arguments(): parser.add_argument('-mu', '--param-mu', type=float, default=1) parser.add_argument('-n', '--name', type=str, default=f'FermiHubbard-TwoBand', help='name of this circuit instance, becomes prefix for output file') parser.add_argument('-d', '--directory', type=str, default='./', help='output file directory') - parser.add_argument('-v', '--value', type=float, default=300000, help='value of the total application') - parser.add_argument('-r', '--repetitions', type=int, default=400, help='repetitions needed to achieve value of computatation (not runs of this script)') + parser.add_argument('-v', '--value', type=float, default=0, help='value of the total application') + parser.add_argument('-r', '--repetitions', type=int, default=1, help='repetitions needed to achieve value of computatation (not runs of this script)') parser.add_argument('-c', '--circuit_write', default=False, action='store_true') return parser