Genus 2 curve data - 11664.c.34992.1

Formats: - HTML - YAML - JSON - 2026-06-19T07:37:33.830757

• g2c_curves •

  Column	Type
  Lhash	text
  abs_disc	bigint
  analytic_rank	smallint
  analytic_rank_proved	boolean
  analytic_sha	smallint
  aut_grp_id	text
  aut_grp_label	text
  aut_grp_tex	text
  bad_lfactors	text
  bad_primes	integer[]
  class	text
  cond	bigint
  disc_sign	smallint
  end_alg	text
  eqn	text
  g2_inv	text
  geom_aut_grp_id	text
  geom_aut_grp_label	text
  geom_aut_grp_tex	text
  geom_end_alg	text
  globally_solvable	smallint
  has_square_sha	boolean
  hasse_weil_proved	boolean
  igusa_clebsch_inv	text
  igusa_inv	text
  is_gl2_type	boolean
  is_simple_base	boolean
  is_simple_geom	boolean
  label	text
  leading_coeff	numeric
  locally_solvable	boolean
  modell_images	text[]
  mw_rank	smallint
  mw_rank_proved	boolean
  non_maximal_primes	integer[]
  non_solvable_places	jsonb
  num_rat_pts	smallint
  num_rat_wpts	smallint
  real_geom_end_alg	text
  real_period	numeric
  regulator	numeric
  root_number	smallint
  st_group	text
  st_label	text
  st_label_components	integer[]
  tamagawa_product	smallint
  torsion_order	smallint
  torsion_subgroup	text
  two_selmer_rank	smallint
  two_torsion_field	jsonb

  
  {'Lhash': '2238643519457758393', 'abs_disc': 34992, 'analytic_rank': 0, 'analytic_rank_proved': False, 'analytic_sha': 1, 'aut_grp_id': '[2,1]', 'aut_grp_label': '2.1', 'aut_grp_tex': 'C_2', 'bad_lfactors': '[[2,[1,1]],[3,[1]]]', 'bad_primes': [2, 3], 'class': '11664.c', 'cond': 11664, 'disc_sign': -1, 'end_alg': 'Q', 'eqn': '[[0,1,2,0,0,0,-1],[1,1]]', 'g2_inv': "['-6400000/9','-2384000/27','-2592400/243']", 'geom_aut_grp_id': '[2,1]', 'geom_aut_grp_label': '2.1', 'geom_aut_grp_tex': 'C_2', 'geom_end_alg': 'Q', 'globally_solvable': 1, 'has_square_sha': True, 'hasse_weil_proved': False, 'igusa_clebsch_inv': "['80','-792','-20508','-576']", 'igusa_inv': "['120','1788','25924','-21516','-34992']", 'is_gl2_type': False, 'is_simple_base': True, 'is_simple_geom': True, 'label': '11664.c.34992.1', 'leading_coeff': {'__RealLiteral__': 0, 'data': '0.7791817683775313069977991945451722644330579881735944716', 'prec': 190}, 'locally_solvable': True, 'modell_images': ['2.60.1', '3.720.4'], 'mw_rank': 0, 'mw_rank_proved': True, 'non_maximal_primes': [2, 3], 'non_solvable_places': [], 'num_rat_pts': 3, 'num_rat_wpts': 1, 'real_geom_end_alg': 'R', 'real_period': {'__RealLiteral__': 0, 'data': '14.025271830795563525960385502', 'prec': 100}, 'regulator': {'__RealLiteral__': 0, 'data': '1.0', 'prec': 10}, 'root_number': 1, 'st_group': 'USp(4)', 'st_label': '1.4.A.1.1a', 'st_label_components': [1, 4, 0, 1, 1, 0], 'tamagawa_product': 2, 'torsion_order': 6, 'torsion_subgroup': '[6]', 'two_selmer_rank': 1, 'two_torsion_field': ['6.0.314928.2', [4, 12, 9, -2, -3, 0, 1], [6, 3], False]}
• g2c_endomorphisms •

  Column	Type
  factorsQQ_base	jsonb
  factorsQQ_geom	jsonb
  factorsRR_base	jsonb
  factorsRR_geom	jsonb
  fod_coeffs	jsonb
  fod_label	text
  is_simple_base	boolean
  is_simple_geom	boolean
  label	text
  lattice	jsonb
  ring_base	jsonb
  ring_geom	jsonb
  spl_facs_coeffs	jsonb
  spl_facs_condnorms	jsonb
  spl_facs_labels	jsonb
  spl_fod_coeffs	jsonb
  spl_fod_gen	jsonb
  spl_fod_label	text
  st_group_base	text
  st_group_geom	text

  
  {'factorsQQ_base': [['1.1.1.1', [0, 1], -1]], 'factorsQQ_geom': [['1.1.1.1', [0, 1], -1]], 'factorsRR_base': ['RR'], 'factorsRR_geom': ['RR'], 'fod_coeffs': [0, 1], 'fod_label': '1.1.1.1', 'is_simple_base': True, 'is_simple_geom': True, 'label': '11664.c.34992.1', 'lattice': [[['1.1.1.1', [0, 1], [0]], [['1.1.1.1', [0, 1], -1]], ['RR'], [1, -1], 'USp(4)']], 'ring_base': [1, -1], 'ring_geom': [1, -1], 'spl_fod_coeffs': [0, 1], 'spl_fod_gen': [0], 'spl_fod_label': '1.1.1.1', 'st_group_base': 'USp(4)', 'st_group_geom': 'USp(4)'}
• g2c_ratpts •

  Column	Type
  label	text
  mw_gens	jsonb
  mw_gens_v	boolean
  mw_heights	numeric[]
  mw_invs	smallint[]
  num_rat_pts	smallint
  rat_pts	jsonb
  rat_pts_v	boolean

  
  {'label': '11664.c.34992.1', 'mw_gens': [[[[0, 1], [1, 1], [1, 1]], [[-1, 1], [-1, 1], [0, 1], [0, 1]]]], 'mw_gens_v': True, 'mw_heights': [], 'mw_invs': [6], 'num_rat_pts': 3, 'rat_pts': [[-1, 0, 1], [0, -1, 1], [0, 0, 1]], 'rat_pts_v': True}
• g2c_galrep •

  Column	Type
  conductor	integer
  lmfdb_label	text
  modell_image	text
  prime	smallint

  
  
  • id: 4309
    {'conductor': 11664, 'lmfdb_label': '11664.c.34992.1', 'modell_image': '2.60.1', 'prime': 2}
  • id: 4310
    {'conductor': 11664, 'lmfdb_label': '11664.c.34992.1', 'modell_image': '3.720.4', 'prime': 3}
• g2c_tamagawa •

  Column	Type
  cluster_label	text
  label	text
  local_root_number	numeric
  p	bigint
  tamagawa_number	smallint

  
  
  • id: 7318
    {'label': '11664.c.34992.1', 'local_root_number': 1, 'p': 2, 'tamagawa_number': 1}
  • id: 7319
    {'cluster_label': 'cc3_1~2c3_2~3_0', 'label': '11664.c.34992.1', 'local_root_number': 1, 'p': 3, 'tamagawa_number': 2}
• g2c_plots •

  Column	Type
  label	text
  plot	text

  
  {'label': '11664.c.34992.1', 'plot': 'data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoAAAAHgCAYAAAA10dzkAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAPYQAAD2EBqD%2BnaQAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvIxREBQAAIABJREFUeJzs3XlYlOX6B/DvgCyKgDsKopLighm5ECCZmuK%2BW5aWYmVqaWX9OqV1Sq1OmudUbphLKZlmi1uW5lLua7hQJi64ggoiogygIsL7%2B%2BNuwBUBZ%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%2BPr6wmAwYPny5apLIiKiYmIAJKJSyc7ORnBwMKZPn666FCIiKqEyqgsgIvvUuXNndO7cWXUZRERUCgyARGQVOTk5yMnJKbhvNBoVVkNEpG%2BcAiYiq5gwYQK8vb0Lbv7%2B/qpLIiLSLQZAIrKKMWPGICMjo%2BCWlJSkuiQiIt3iFDARWYWbmxvc3NxUl0FEROAIIBEREZHucASQiEolKysLR48eLbh/4sQJxMXFoVKlSqhVq5bCyoiI6F54FjARlcrGjRvRtm3b2x6PiopCTEzMPd%2BfZwETEanDAEhESjAAEhGpwzWARERERDrDAEhERESkMwyARGRV0dHRCAoKQkhIiOpSiIh0i2sAiUgJrgEkIlKHI4BEREREOsMASERERKQzDIBEREREOsMASERERKQzDIBEREREOsMASERERKQzDIBEZFXsA0hEpB77ABKREuwDSESkDkcAiYiIiHSmjOoCiIiIbEFeHnDuHHD6NJCSAqSmAmlpwMWLQEYGkJUFXLkC5OQA168DmgY4OQEuLoC7O%2BDhAXh7AxUrAtWqAdWrAzVrAgEBQOXKgMGg%2BjMkKsQASEREuqFpQGIiEB8PHDoEHDkCHD0KHD8OJCUBubmW%2BbheXkCDBsCDDwLBwUCLFkDTpkC5cpb5eET3wjWARKQE1wCSpeXmAgcOALt3A/v2ye3vv4HMzLu/j7OzjNzVqAH4%2BABVqgCVKsnIXvnyEtjc3IAyZWRELz9fPs6VKzJCaDQC6ekyenj2rITK5OQ7f6wyZYDmzYE2bYD27YFWreS5iayBAZCIlGAAJHNLTQW2bQO2bwd27AD27pVgdisXF6B%2BfaBRI7kGBgJ16wJ16gC%2BvhICzenqVeDYMeDgQWD/fgmisbEyzXwjDw%2BgY0egb1%2Bge3fA09O8dRDdiAGQiJRgAKT7lZICbNgAbNwIbNoEHD58%2B9t4e8soW7NmwMMPy/RrgwYSAlXSNODUKWDzZuD334G1a28OhGXLAr17A88/D7RtK2sNicyJAZCIlGAApJK6fFnC3tq1wG%2B/yfTurRo3Bh59FAgPB8LCZHTPHsJTfr6MDC5dCvz4I5CQUPi6evWAkSMlDHJUkMyFAZCIrCo6OhrR0dHIy8vDkSNHGACpSAkJwMqVwKpVMlqWk1P4OoNBRvQefxxo3VqCX6VK6mo1F02TKeKYGGDhQllXCAAVKgAjRgCvvy67ionuBwMgESnBEUC6k7w8Wce3YgXw88%2ByS/dGtWrJOrnISAl%2Bjh6EsrKAb74BpkwpnOIuXx544w3g//5PdhcTlQYDIBEpwQBIJlevypTu0qUS%2BtLSCl/n4gI89hjQpQvQuTPQsKE%2B%2B%2Bnl5wPLlwMffgjExclj1arJ/RdeMP/GFXJ8DIBEpAQDoL5duQL8%2BiuweDHwyy83t2apWBHo2hXo2RPo0IGjXDfSNAnK77xTODravDkwc6b0FiQqLgZAIlKCAVB/cnKANWuA776TKd7s7MLX%2BfnJrtc%2BfaQfXhkeU1Ck3Fxgxgxg7Fg5pcTJSaaFP/xQTiUhuhcGQCJSggFQH/LyZOfut9/KyNWlS4Wvq1ULeOIJuYWG2sduXVtz7pxsClm0SO43aiQbR5o2VVsX2T4GQCJSggHQcWmarFNbsECCyY0nYfj6Av36AU89JaFPj%2Bv5LOHnn4GhQ6WXoIsL8N//Aq%2B%2Byq8v3R0DIBEpwQDoeM6ckdGn%2BfNv7tFXsSLw5JPAgAEyvcuRPstISwNefFE2iwAysjp3LnsH0p0xABKRVbEPoGO5ckUCR0wMsG6djP4BcqZt9%2B7As8/K7l1XV6Vl6oamAdOnS4uY3FxpjP3zz0BAgOrKyNYwABKREhwBtF%2BaBvzxh4wuffddYaNiQJoxDxokI34VKqirUe927JAzhZOTgSpVZNNNeLjqqsiWMAASkRIMgPbn/HlpSvzVV0B8fOHjtWsDUVES/OrWVVcf3ezMGaBHD2DvXtkZ/MMPMipLBDAAEpEiDID2IT9fpna//BL46SeZVgSAsmVlhOm554A2bbiuz1ZlZ8uGm5UrpVn0vHnAwIGqqyJbwP%2ByRAQAmDFjBgICAuDu7o7mzZtjy5Ytd33bmJgYGAyG225Xr161YsVkSWfOSE%2B5Bx4AOnWShs25udJs%2BIsvZGrxm2/kODaGP9vl4SFrNAcPlpY8UVES5onYapOI8P3332PUqFGYMWMGIiIiMGvWLHTu3Bnx8fGoVavWHd/Hy8sLh02Hk/7DnR1o7VpeHrB6NTBrlowY5efL4xUqyKjRkCHAQw%2BprZFKrkwZmbb39ASmTZOdwoD8e5J%2BcQqYiBAaGopmzZrhiy%2B%2BKHisUaNG6NWrFyZMmHDb28fExGDUqFG4dGNX3xLiFLDtSE6WgDBnDpCYWPh4q1bSW65vX5nyJfumadI0esoU6Q%2B4YIG05iF94sA9kc5du3YNe/bsQYcOHW56vEOHDti%2Bfftd3y8rKwu1a9dGzZo10a1bN%2Bzbt8/SpZIZ5ecDv/8uveJq1QLee0/CX6VKEhLi44HNm6WNC8OfYzAYgM8/B156ScJgVBSwapXqqkgVTgET6VxaWhry8vLg4%2BNz0%2BM%2BPj5ISUm54/s0bNgQMTExaNKkCYxGI6ZMmYKIiAj8%2BeefCAwMvOP75OTkICcnp%2BC%2B8cbeIWQ16enA11/LOr6EhMLHIyKA4cMlEHIm33EZDNIn0GiUpt1PPilH9YWEqK6MrI0BkIgAAIZbzozSNO22x0zCwsIQFhZWcD8iIgLNmjXDtGnTMHXq1Du%2Bz4QJEzB%2B/HjzFUwlsmcPMGOGHM125Yo85ukpa/uGDweaNFFbH1mPk5PsBk5LA9askdYwu3ZJOx/SD04BE%2BlclSpV4OzsfNtoX2pq6m2jgnfj5OSEkJAQJNw4pHSLMWPGICMjo%2BCWlJR0X3XTvV29KseyhYbK7t25cyX8BQcDM2cCZ88C0dEMf3rk4gL8%2BKNs6jl3TvoFZmWproqsiQGQSOdcXV3RvHlzrFu37qbH161bh5YtWxbrOTRNQ1xcHGrUqHHXt3Fzc4OXl9dNN7KMU6eA0aMBf39Z5/XHH/IL/5lngG3bgH37gGHDgPLlVVdKKnl6Ar/8Avj4AH/9JT0duS1UPzgFTER44403MHDgQLRo0QLh4eGYPXs2EhMTMXz4cADAoEGD4OfnV7AjePz48QgLC0NgYCCMRiOmTp2KuLg4REdHq/w0dE3TgPXrpc3Hzz8XtnDx95cp3iFDgGrV1NZItsffH1i6VJp5L14M/O9/wL/%2BpboqsgYGQCLCU089hQsXLuCDDz5AcnIyHnzwQaxatQq1/1kUlJiYCKcbuv1eunQJQ4cORUpKCry9vdG0aVNs3rwZjzzyiKpPQbcyM2Wad/p04NChwsfbtQNGjgS6dZM%2BcER307KltIZ5%2BWVgzBggLExaAJFjYx9AIlKCfQDvz5Ejsn5v3jwJgYBM6UZFASNGAI0aqa2P7IumyYaghQsBPz/gzz%2BBypVVV0WWxABIREowAJZcfj6wdi0wdSrw66%2BFj9evL6N9UVEAv5RUWllZQPPm8sdF797AkiXSNoYcEwOgAzl9Gti5UxbzHj0qZ3mmpwOXL8svDhcXGSGoUgXw9QXq1AEaNAAefBBo2FBeT2QtDIDFl5kJxMTINO%2BRI/KYwQB06QK8%2BirQvj3P4yXz2LtXpoBzc%2BV0mOefV10RWQoDoJ2LiwO%2B/Rb46afCXwyl4e4uf/k9%2Bqgc7t6qFbv/k2VER0cjOjoaeXl5OHLkCANgEY4eldA3d27hNK%2BXl/xSHjECqFdPbX3kmD75RHaRe3oC%2B/ezP6CjYgC0Q/n5wPLlwKRJ0rzTxMlJ%2Bns1ayYje/7%2BMtrn4SGvy82V7u9paTI6eOyYLBrfv18ev5G7uywi79UL6NkTqFrVup8jOT6OAN6ZpgHr1sk076pVhW05GjSQ0b5Bg9i%2BhSwrLw9o3VpaBkVGSrNoTgU7HgZAO7N9u/wS2LNH7ru4SEDr1w/o0AHw9i75c%2Bbny5FQ27fL2Z%2B//SbTySbOzjLFNHCgrAspV848nwvpGwPgzbKzgQULJPjFxxc%2BbprmjYzkNC9Zz5EjMqBw9apsNBo8WHVFZG4MgHbi6lUZkp8yRe57esovhVdfNX9vL00D/v4bWLFCFgHv21f4Oi8vaSY7fLh0kCcqLQZAkZgou3nnzAEuXpTHypeXX7ivvgrc5WhlIoubNAl4%2B22gUiWZLeJMkGNhALQDiYky8rZ3r9x/7jlg4kTrNXVNSJDWAPPnAydOFD7%2B6KPAqFEyTezsbJ1ayHHoOQBqmoy4T5kiTXjz8uTxBx4AXnlF/o%2BXZjSfyJxyc4GQEGkJExUlG5HIcTAA2rj9%2B4GOHYHkZFnPN38%2B0Lmzmlry84ENG4BZs4Bly4Dr1%2BXxgADg//5PFqZz4wgVlx4D4LVrwA8/AJMnFy7jAGTj1WuvAV278o8psi07dwLh4fLy1q1ARITaesh8GABt2P79cjxPerq0avnlF9vZjXX2LDBjhhwof%2BGCPFatGvDmm8BLL3GROt2bngLg%2BfPyf%2BWLL%2BSPOUA2Wj3zjEzzcjkF2bIhQ6QlTNOmQGws/0hxFAyANioxUXoxJScDjzwCrF4NVKyouqrbXb4sC4T/%2B185gB6Qkcq335ZjhbhhhO5GDwFw/34Z7Vu4EMjJkcd8feX/xrBh8n%2BFyNadPy9rUTMygC%2B/BF54QXVFZA4MgDboyhU5mzEuTkb%2BNm%2B2zfB3o9xc%2BSX3n/9I7zIAqFEDGDtWpobZZJpu5agBMD9f2rd8/jmwfn3h4yEhMs375JOAq6u6%2BohK47PPZKlP9eqyLpyzPPaPTQVs0OuvS/irWhVYudL2wx8gAW/wYODgQWlaW7u2jF4OHw40aSJ9C/mnBgHSCDooKAghISGqSzGrrCxp2tygAdC9u4Q/Z2cJfNu2Sc/OZ55h%2BCP7NGIEULcukJICfPqp6mrIHDgCaGNWry7c5LFunfTfs0c5ObJZ5MMPpfE0II1FP/9c1pEQOcoI4KlTwLRpMjWWkSGPVagAvPiinM9bq5ba%2BojM5YcfgKeeksMFjh%2B3XicKsgyOANqQK1dkAwUgU0X2Gv4AwM1NFrcfOwa8844seN%2B0SY6bGzZM1pQQ2StNk1G9J5%2BU1i2ffirhr359GQVMSpIeagx/5EiefFJ%2BhmdnAxMmqK6G7hdHAG3If/4D/PvfQM2aMpXqSGssEhNlY8h338n9ChXk8x02jDvK9MoeRwBzc4Eff5SNHbGxhY%2B3by89MTt35mkd5NjWrpXWZG5u8ge%2Bn5/qiqi0%2BKPKRqSny4gBIAdxO1L4A2QkZNEi2dASHAxcuiRrSkJDgd27VVdHVLQLF2TEo04dWccXGyu/AF94AfjrL1mu0bUrwx85vshIOQQgJ0d%2BV5H94o8rGzFtGmA0yoaJp59WXY3ltGolDXCnTZOTDvbskRD42mtAZqbq6ohuduiQLMvw95elDGfPAj4%2BwAcfyDTvl1/K/1kivTAYgPHj5eXZswv7WpL9YQC0ATk5chYoIL9kHH0UwdlZFscfOgQMGCBtM6ZOBYKCgJ9/Vl0d6Z2myTRXly5Ao0bSwPnKFdm8FBMjmz7ee4/nopJ%2BtW0rJ4Lk5AD/%2B5/qaqi0uAbQBnz7rUwr1awpZ%2B2WKaO6Iutat07axRw/LveffloCIX/BOjZbWwN45QqwYIGs74uPl8cMBqBHD2nN9Nhjcp%2BIgF9/lT%2BSPDxkjXelSqoropJy8LEm%2BzBvnlxfeEF/4Q%2BQNSX79wP/%2BpeMfn73nYwGfv89ewc6IlvrA5icLCN6/v7A0KES/sqXl13sCQnSw7J1a4Y/oht16iTrubOz5VhQsj8cAVTs3Dk5Gio/X3ZUPfCA6orU2r27cGE9APTtK%2BencjTQ8ageAdy3T/pSfved7O4FpIH5K6/I2afe3lYviciumGavqlWTpRHu7qoropLgCKBiK1ZI%2BGvRguEPkK9DbCzw/vsyGrpkCdC4MbBsmerKyBHk5cmIXps2QLNmwDffSPiLiAAWL5ZjDP/v/xj%2BiIrjySdl5Dw1VcIg2RcGQMVWrZJrjx5q67Alrq6yy%2ByPP2SH5fnzQJ8%2BQFRU4UkLRCWRmQlMmSKNmnv3lqbkZcoA/fvL99nWrTLarMclGESl5eIiI%2BaArJ3lfKJ94RSwQnl5QOXKEmp27QIeeUR1RbYnJwcYN056JObnSz/B%2BfNlTRbZN2tMAZ88WXhMm9Eoj1WsKA3IR4yQjVdEVHoXL8r/o8uXgY0b%2BbPZnnAEUKG//5bw5%2Bkp01F0Ozc3acC7ebNMkScmSguC0aOBa9dUV0e2SNOA7duBJ56Qw%2Bs/%2B0zCX4MGsp40KUm%2Bpxj%2BiO5fxYrAwIHy8vTpamuhkmEAVGjXLrmGhnLq6V4iIoC4ONkgomnSgT48HDhyRHVlZCtyc%2BW0mdBQ%2BX5ZskRGjdu3B1aulN29w4dL2woiMp8RI%2BS6fLk0Syf7wACo0L59cm3eXG0d9sLTU6byliyRnlN790pz3rlzufZEz9LTgYkTZYR4wICbj2nbv1/6THbp4vgN1olUadJE/ui6fl1%2BHpN94I9Ehf7%2BW64PPaS2DnvTp4%2B0iXn8cVl38sIL8oufG0Tsg7n6AB4%2BDLz8suxCHDMGOH1ajmkbP16WCnz5JfDgg2YqmoiKNGyYXL/8UkbeyfZxE4hC1arJDtc9e7gGsDTy8mRzyHvvycsPPCA93WykvzDdQ2k2gWga8PvvsuNw5crCx4OD5bSOp5%2BW0T8isq4rV6Sn7aVLcpRiZKTqiuheOAKoSHa2hD%2BA/f9Ky9lZRn62bgXq1JGj5CIipLkv/6xxLFevytRScLD8Ylm5Uk7m6N4dWL9ellNERTH8EalStqzMxACcBrYXHAFU5MgR2ZVYvrz0KKP7c%2BmSnN6wZInc79EDiImRHWpkm4ozApiSIjt3v/ii8A8mDw/guefkqLbAQCsWTERF2rNHmvm7ucn/3QoVVFdEReEIoArXr%2BP64uV4C59gZLm5XLxmBhUqAD/%2BKG0IXF3lhJWmTWVDANmgTZtkHhe447bBP/%2BUkFe7NvDBBxL%2BatWSKf/Tp6W3H8MfkW1p1kxObsrJkZ/HZNs4Amhtf/whDcqSkgof8/CQZmVDh6qry4Hs3StHFB0/Lp3qP/tM2hQYDKorIyQlAb16AXv3wgjAG0CGszO8Xn8d%2BRMnYeUqAz7/HNiwofBdwsJkfV%2BfPmyXRGTrJk0C3n4baNVK%2BreS7WIAtKbUVKBhQ2mdfiuDQc6F69TJ%2BnU5oIwM4PnngaVL5f5TT8nutPLl1dala/n5suX9wAEAKAyAALwAfFJ5EkZf%2BBcAWd/Zt68Ev7AwVQUTUUklJcnIvabJSTy1a6uuiO6GU8DWNGfOncMfIP9b/vtf69bjwLy9gcWLZfSvTBng%2B%2B/lqL2DB1VXpmO//FIQ/u5k4IXPUdn7Ov71Lxm9/f57hj8ie%2BPvX3gc3Pffq62FisYRwPugaRoyS7KDo2dPOSzxbgwGCYicqzSrXbuAQYNkUXK5ckB0tEwnknVdf%2BstlJk1q%2BC%2BEYA/gCTICCAAXP59B8q1CFJQHRGZy9y5Mnr/0EPAli2qqymap6cnDDr9ncsAeB9MuxiJiIjI/qSmpqJq1aqqy1CCS6rvg6enJzJKsoPX9GfR3fTqBXz9danrCQkJQayZtr3a6nPdz/Ndvy47SqdMkfvh4dexY0d9JCXFFbsRsSXqsqfnKunzXbok39KzZgG%2BZ3bhN3QoeN1tI4CBgcDu3Vapy16fy5zPZzQa4e/vj6SkJIf%2B/jf38/HrXzy9eslmrvffB777zrZqAwq//q6urmaoyj4xAN4Hg8FQsv%2B4L74oDc2OHLn9dWXLAmPHAvfxg8DZ2dksP0hs%2Bbnu9/kmTwYee0yaBu/YAQD7kJBQAW3b3v/uEFv9mqn4%2BickAFOnAvPmSdNzALhWNRLnvDoh8Njqm97W658bPvqI3/8Kns/Ly8ssz6eXrxm//sXTv78EwJUrba%2B2G%2Bl1%2BhfgJhDr8vCQ/xGdO0O74Zsur3FjYPVq4OGH7%2BvpR4wYcb8V2vxzmeP5%2BvSRbjyBgXkA/NG5swfmzVNflz08V1HPp2myxLVnT2lyPn26hL8HHwS%2B%2BkrO5w38a4lsz77hr%2B58X1/gm2%2BAfv0sUpcjPZclns9c9PI149e/eHr2BJycpDl0//6jzVCVsNWvvz3iGkBFdv94Au/2O4LzuIqNGW3N%2BhcNFc/p00b4%2B28A0BMAMHKk7Bp2cVFbl73JyZEzmD//XBo4m3TpIise2rW7w76m8%2BeRvG4dfJ95BkknT6Ime0VYXWnOYibz0cPX/7HHZBPIlClyco8t0cPX/144AqhIhaYBWIuO%2BNulM1xdeYCpClWruuH99%2BPw739fByAjVpGRhUeOUdHOn5c1lbVrA4MHS/grVw4YPhw4dEimftq3v8um9qpVUeaf0%2BLdypWzat0k3NzcMHbsWLjxAGUl9PD179VLrj/9pLaOO9HD1/9eOAKoyOXLMiMMSOcXnpmo1k8/AQMHyrnMtWsDy5ff94y8w/r7b/mL/ptvZPQPAPz8ZAR16FCgUqXiPQ//AidybMeOAfXqSWP3tDT%2BnrM1HAFUpFw5wLTz/MQJtbWQrFfZuVN%2BWJ06BURESCNpEvn5clBNhw5AkyZyqkpODhASAnz7rXwPjx5d/PBHRI6vbl2gUSMgLw9Ys0Z1NXQrBkCF6taVa0KC2jpIBAXJ5pAOHWSE9skngXHjJPzo1eXLwMyZ8rXp2hVYt04WdvftC2zdKk22%2B/cv2brJ6OhoBAUFISQkxHKFE5FN6NpVritXqq2DbscAqFDDhnLl8WS2o2JF%2BUFlatc4frxsTjW1MtGLM2eAd96RY51eegk4fFg6tLzxhkzrLF4so6Sl6aAwYsQIxMfHm7XPGxHZJlMAXL1a339M2yIGQIWaNJHrX3%2BprYNuVqaM7AaeO1dGtpYsAVq1Ak6fVl2Z5e3eDTzzDFCnDjBhApCeDjzwgPRPPH0a%2BPRTeR0RUXFERACenrJpbO9e1dXQjRgAFVm6dCkWLXrrn5dPIi4uTnFFjknTNIwbNw6%2Bvr4oW7Ys2rRpgwMHDhT5PuPGjYPBYMDzzxuQm/sogFTs2yfr3Rxx0CovT0Luo48Wrum7fl1aOCxdKn3LX3tNfoiTfZkxYwYCAgLg7u6O5s2bY0sRB7PGxMTAYDDcdrt69aoVK3Z8mzdvRvfu3eHr6wuDwYDly5erLsmiXFykFRRg3XWAJf06b9y48Y7f/4cOHbJSxdbHAKhIdnY2IiMrwWDQANRBWhoPZbGESZMm4bPPPsP06dMRGxuL6tWrIzIyEpmZmUW%2BX%2BPGjZGcnIzk5MX44w8DGjW6jpQUCUWOsjnEaJTeffXqAU88AWzbJj%2Bsn31Wmrdu2gT07i07%2BMj%2BfP/99xg1ahTeffdd7Nu3D61atULnzp2RmJh41/fx8vL65/u%2B8Obu7m7Fqh1fdnY2goODMX36dNWlWE2Hf06AXLfOeh%2BztF/nw4cP3/T9HxgYaKEKbYBGSjVsmKMBmjZp0nHVpTic/Px8rXr16trEiRMLHrt69arm7e2tzZw5867vN3bsWC04OPimxzIyNK1LF02T8y407eOPNS0/32KlW9Tx45r2%2Buua5ulZ%2BPlUrqxp77yjaWfOWK%2BOjIwMDYCWkZFhvQ%2BqI4888og2fPjwmx5r2LChNnr06Du%2B/bx58zRvb29rlEb/AKAtW7ZMdRkWl5AgP2dcXDQtM9P6H784X%2BcNGzZoALSLFy9aqSr1OAKoWGioTK/s3n3/Z9HSzU6cOIGUlBR0MP35CWn%2B2bp1a2zfvr3I901ISICvry8CAgLw9NNPIy3tOFasKOxm/847wJAhQG6uJT8D89E02bX7xBMy4vf559LzsFEj2eWbmAj85z%2BAr6/qSskcrl27hj179tz0vQ8AHTp0KPJ7PysrC7Vr10bNmjXRrVs37Nu3z9Klkg7UrStrh3Nz5WQQW9a0aVPUqFED7dq1w4YNG1SXY1EMgIq1bHkFALBUvhSyAAAgAElEQVRjBxvhmltKSgoAwMfH56bHfXx8Cl53J6GhoZg/fz7WrFmDOXPmICUlBS1btsSlSxcwZYqcGOLkJJtEunQBMjIs%2Bmncl9xcOaYtNFQ2sixZIjvxIiOlr9/ffwPDhklfSnIcaWlpyMvLK9H3fsOGDRETE4MVK1Zg0aJFcHd3R0REBBLYp4ruk8FQuA5w/Xq1tdxNjRo1MHv2bCxZsgRLly5FgwYN0K5dO2zevFl1aRbDAGgFCxcuRPny5QtuNy7EbtnyKoBrSEpygwOvNbWKW7/Ouf8Mzxlu6VWiadptj92oc%2BfO6Nu3L5o0aYL27dtj5T8NrL7%2B%2BmsAwIgRwIoVcpLLb7/Z5g7hixeBSZNkB2///rJ5xc1NRi337wfWrgU6d5YgS46rJN/7YWFhePbZZxEcHIxWrVrhhx9%2BQP369TFt2jRrlEoOrm1budpqAGzQoAFefPFFNGvWDOHh4ZgxYwa6du2K//3vf6pLsxjuPLCCHj16IDQ0tOC%2Bn59fwcvly2sANgDoiGXLgDFjrF%2Bfo7j165zzzzllKSkpqFGjRsHjqampt42MFMXDwwNNmjS5aSSka1dg82a57t8PhIdLn6vGjc3widyHY8fkmLa5cwt7F1arJqF1%2BHB5WbXo6GhER0cjLy9PdSkOq0qVKnB2dr5ttK8k3/tOTk4ICQnhCCCZhSkAxsUBly7Zx7FwYWFhWLBggeoyLIZ//1uBp6cn6tWrV3ArW7bsLW%2BxBADwww/Wr82R3Pp1DgoKQvXq1bHuhq1n165dw6ZNm9CyZctiP29OTg4OHjx4U4gEgGbN5Pi4hg1lBDAiQs7HtTZNkx28ffsCgYHAtGkS/po0kSCYmAi8/75thD%2BAjaCtwdXVFc2bN7/pex8A1q1bV%2BzvfU3TEBcXd9v3PVFp%2BPrK%2BuP8fFmPbA/27dvn0N//HAFUJD09HYmJiTh79iyAJXB2/gJxcc7YtCkNrVtXUV2eQzAYDBg1ahQ%2B/vhjBAYGIjAwEB9//DHKlSuHAQMGFLxdu3bt0Lt3b4wcORIA8Oabb6J79%2B6oVasWUlNT8dFHH8FoNCIqKuq2j1G7tvww69ZNwuCgQXKW8L//bfnPLy8PWLZMmjPv3Fn4eKdOcmJH%2B/alO6mDHMMbb7yBgQMHokWLFggPD8fs2bORmJiI4cOHAwAGDRoEPz8/TJgwAQAwfvx4hIWFITAwEEajEVOnTkVcXByio6NVfhoOJysrC0ePHi24f%2BLECcTFxaFSpUqoVauWwsosr3Vr4OhRmT3p1s2yH%2BteX%2BcxY8bgzJkzmD9/PgBg8uTJqFOnDho3boxr165hwYIFWLJkCZYsWWLZQlVSvAtZt%2BbNm6cBuOG2VAM0LSxsm%2BrSHEp%2Bfr42duxYrXr16pqbm5v22GOPafv377/pbWrXrq2NHTu24P5TTz2l1ahRQ3NxcdF8fX21Pn36aAcOHCjy46Sna1rVqoVtVd5%2B2xKfjcjO1rToaE2rW7fw47m5adoLL2jaPcq0KWwDY3nR0dFa7dq1NVdXV61Zs2bapk2bCl7XunVrLSoqquD%2BqFGjtFq1ammurq5a1apVtQ4dOmjbt29XULVjM7UbufV247%2BFo4qJkZ9X4eGW/1j3%2BjpHRUVprVu3Lnj7Tz75RKtbt67m7u6uVaxYUXv00Ue1lStXWr5QhQyapmkqgifd7JdfgO7dgcqVgaQk4LZZYrJ5WVlAUJD8%2BwHA6NFynJq5pKcD0dHA1KlAWpo8VqkS8PLLssavenXzfSxrMBqN8Pb2RkZGBry8uAueyNEdOybTwC4u0j2Bv%2BfU4hpAG9G5s0wnXrggR3GR/SlfXo5NM52VO3GiTM/er9RU4O235fvj/fcl/NWpI0EwMRH48EP7C39EpD8PPCA/q3Jz5bQhUosB0EY4OwP/LEHDp5/KQlmyP%2B7uwMGDgGmj97/%2BBZS2l%2BiFC8BbbwEBAdLSJSsLeOghYOFCICEBeOUVaUVDRGQPDAbAtAdp2za1tRADoE0ZOhTw9pYAsWyZ6mqotNzdpcFy%2BfKyQq9Xr5IF%2Btxc%2BSOgbl3gv/8FLl8GQkKAn3%2BWFgoDBgBluH2LiOxQWJhcb9y4RmowANoQL6/Co8bGjpVdnmSfKlQA1qyRl41GYPLk4r3fgQNAixbAm2/KGpngYFkfumuX7JpzhF290dHRCAoKQkhIiOpSiMjKwsPlumuX/IFM6nATiI25eFHWSVy6JD3cnntOdUV0P2rXlnV67dsDt7Rku83WrdLCJTtbNndMmgQMHizLAxwRN4EQ6c%2BVK4CnpwxwJCYC/v6qK9IvjgDamIoVgXfflZfffRfIzFRbD5XewYPAmTPy8g2Hv9zR5cvSyDk7G2jTRt73hRccN/wRkT6VLStN6gE5opLUYQC0Qa%2B8Iuu/kpNlKpjsz7RpsmEjL0/W692rHczvv8tu35o1gZUrbefUDiIiczOt/vjjD7V16B0DoA1ycwOmT5eXp0zhfxJ7smGDtGh59VXg%2BnUJfytWAPc6Tci0EMPdnb2xiMixmQIgW8GoxQBoozp1kt2e%2BflAVJRMEZLtOnxYRvwef1yOggPkjOCjR6XH4720bi27ho8eBWJiLFoqEZFSzZvLde9ebgRRiQHQhk2dKiNHhw4Br7%2Buuhq6labJmZa9egGNGgH798vjlStLM%2B%2BDB2UTSHF4exeeHzxypLR7ISJyRI0by2kg6emFfzCT9TEA2rDKlYGvv5bWH7NnAwsWqK6IABmN/eoroFkzGbn76ScJgx07Al9%2BKSd19O9f8ud9800gMlKev3Nn4Phx89dORKSam5uEQADYt09tLXrGAGjjIiMLR4ZefJG7plQ6fFhGYv38gCFDZJSubFlp4B0fD6xeLTt3S8vZGfjhB9khl5Ii08knT5qtfCIim/Hww3LlbIc6DIB2YOxYaQJ89SrQvTtHhqzpyhU5eq1NG1nTN3my9Gg0Hc%2BWlATMmiVTwOZgaiAdGChTI23aACdOmOe5bQUbQRORKQD%2B%2BafaOvSMjaDtRGYm0KqV/GepW1fWnvn6qq7KMWmaTEvMnSvh79IledzJCejaFRg%2BXDbpOFnwz6czZ4C2beXMXz8/4LffJIA6EjaCJtKvDRtklqNOHcf7I9deMADakeRk4NFHZQSwfn1g/fp7Nxim4jt3TgJfTEzhhg4AqFVLpnaff1769FlLcrKcIBIfD1StKlPMzZpZ7%2BNbGgMgkX6lp8s6d0COveSPAOtjALQzJ0/KxoPERPnLae1amS6k0rl8Wfr0ffONTL2azl92c5Pdvc8/D7Rrp%2B5EjrQ0GW3cs0eOT/r5Z/n3dwQMgET65ucHnD0LbN9eeEYwWQ/XANqZOnVk%2BrdePQmD4eHAli2qq7IvubkymjZoEODjIzt2V62S8BcaCsyYIaNv330HdOig9ji2KlVkpLd1a1kG0LEjsHy5eT%2BGpmkYN24cfH19UbZsWbRp0wYHDhwo8n3GjRsHg8Fw06169ermLYyIHJppJ/A9ftyQhTAA2qHatYGtW4EWLYALF2QdxfTpbKhZlLw8WXMyfLisnezcWUb9srJkQ8e//y27fHfuBF56Sc5kthVeXhJYe/YEcnLkzODZs833/JMmTcJnn32G6dOnIzY2FtWrV0dkZCQy73EQdePGjZGcnFxw23/jvDkR0T08%2BKBcGQDVYAC0Uz4%2BwKZNQL9%2BcuTYK68ATzwhU4YkcnNl88RLL0noe/xx2bGbliZr6kaMALZtA44dAz78UNZV2ip3d2DxYlmLmJ8PDBsGfPDB/Yd%2BTdMwefJkvPvuu%2BjTpw8efPBBfP3117h8%2BTK%2B/fbbIt%2B3TJkyqF69esGtatWq91cMEelKUJBc4%2BPV1qFXDIB2rFw5mab87DPpqr50qQyp//ijfkcDs7OBZcvk%2BDwfH%2BmjOHMmkJoKVKokAWrtWll3Mn060LKlNNq2B2XKAHPmFPaFHDtWwq1p3WJpnDhxAikpKejQoUPBY25ubmjdujW2b99e5PsmJCTA19cXAQEBePrpp3H8Hv2JcnJyYDQab7oRkX6Z2mcxAKrBAGjnDAZpTrxzp/w1lZoqo4KdOulnWP3UKeCLL6RFS%2BXKQJ8%2BwPz5wMWLMtI3ZIhMoaakyEkdkZESpuyRwSCjldOny8uzZsmUcGnPik5JSQEA%2BPj43PS4j49PwevuJDQ0FPPnz8eaNWswZ84cpKSkoGXLlrhw4cJd32fChAnw9vYuuPn7%2B5euaCJyCKYAePq0LMch6%2BIuYAeSkwN8/DEwcSJw7Zr0qRs0CHj3Xdk04iguX5aNL2vWyO3Wvx4DAmS9XO/eQESE2k0clrRkCfDMM/Lv3rKl7GY2tVW4m4ULF2LYsGEF91euXIk2bdrg7NmzqFGjRsHjL774IpKSkrB69epi1ZKdnY26devirbfewhtvvHHHt8nJyUFOTk7BfaPRCH9/f%2B4CJtKxatWA8%2Bel04EjtbmyB3Y6DkJ34uYGjB8PDBwIvP22TAnHxMhoWN%2B%2BwGuv2deUp0lODrB7t2ziWL9e1u1du1b4eicn%2Bby6dpUTUxo3tr/PsTT69pUfnj16SBuFiAgZ6axT5%2B7v06NHD4SGhhbcNwWylJSUmwJgamrqbaOCRfHw8ECTJk2QkJBw17dxc3ODm5tbsZ%2BTiBxf/foSAA8fZgC0NgZAB1SvnowO7dolGwVWrZJ1gT/%2BKOEoKgp46ilpcGyLLlyQ2rdvl93Ou3bJMXg3qllTWrR07ChTura0a9eaWrWSQNypk/wADQ%2BXf%2B%2BmTe/89p6envD09Cy4r2kaqlevjnXr1qHpP%2B907do1bNq0CZ988kmx68jJycHBgwfRqlWr%2B/p8iEhfGjSQn2FHjqiuRH8YAB1YaCiwciXw11/AlCnAokWyLvCtt%2BTWooWMmkVGAiEhgKurdevTNFmz%2BNdfcvTa3r0y0nfs2O1vW7Wq9MJr21YaM9evr49RvuIICgJ27JDWNvv3A489Jn8A3LCv464MBgNGjRqFjz/%2BGIGBgQgMDMTHH3%2BMcuXKYcCAAQVv165dO/Tu3RsjR44EALz55pvo3r07atWqhdTUVHz00UcwGo2Iioqy1KdJRA7IdJBBEZMHZCEMgDrw0EPAV18Bn34K/PCDHHe2ZYuErd27Zdq4bFkJhC1ayNsHBcl/zPsdWdM0OfInMVEaVx89Kv/RDx%2BWtXt3a1tTv76MZkVEyPF3DRsy8BXFz0/%2BTfv0kWnyrl1lw0tx8thbb72FK1eu4OWXX8bFixcRGhqKtWvX3jRSeOzYMaTd8I91%2BvRp9O/fH2lpaahatSrCwsKwc%2BdO1K5d2xKfHhE5KFMAPHpUbR16xE0gOnXuHPDLL7KJYsOGuwcxLy%2BZbvXxkQ0G3t5A%2BfKy3tC0uSIvT9bkZWfLaRUZGfJ858/LiRo3rPu/jcEgU9YPPyzTls2by2ikXqd079e1a8BzzwGmFn4ffiibgGwxPPMoOCKKi5Of/ZUrs4%2BttTEAEjQNOHRI1trt2yfTiAcPStsUc6lWTTYnPPCA/MVXv760AGjUSPoZkvnk5wNjxgCTJsn9oUOB6Gjba33DAEhEmZky0AAAly7JIANZBwMg3VV2tkzdnjkja/UuXACMRnk8J0dOIAFkJNDNTaaRPT2BChXkr7mqVYHq1YEaNeQkC7Ku6dOBV1%2BVgN%2BtmzQN9/BQXVUhBkAiAgpbwezde/cNbGR%2BNjYmQLbEw6NwlI7sz8iRsjZwwACZ7m/bVq7VqqmtKzo6GtHR0ci7nyNMiMhhPPCABMDjxxkArYkngRA5sN69ZVNI5cpAbKxsrFHdbmHEiBGIj49HbGys2kKIyCYEBMj15EmlZegOAyCRgwsPl56KAQHyF3bLltI2hojIFpia1586pbQM3WEAJNKB%2BvUl9LVoIWs5H38cWL5cdVVERICpexRHAK2LAZBIJ3x8gI0bpUfg1atylFx0tOqqiEjvTKdSJSaqrUNvGACJdMTDQ0b%2Bhg6VdjEjR8q50fn5qisjIr1iAFSDAZBIZ8qUAWbOBD76SO5PmgQ8%2B2zRDbuJiCzF31%2BuFy9KmzGyDgZAIh0yGOSEkK%2B/lkC4aBHQqZM0YiUisiZvb%2BkhCwCnT6utRU8YAIl0bNAg4Ndf5Yfvxo1y9rKlp2Gio6MRFBSEkJAQy34gIrIbfn5yPXNGbR16wgBIpHPt2wNbtgC%2BvkB8PBAWBvz5p%2BU%2BHvsAEtGtfH3lygBoPQyARITgYGDnTqBxYyA5GWjVCli3TnVVRKQXphHAs2fV1qEnDIBEBEAWYm/dCrRpIwe0d%2BkiawSJiCytRg25JierrUNPGACJqECFCsDq1UD//sD168DgwcCHHwKaproyInJkDIDWxwBIRDdxcwMWLJD%2BgADw/vvSN/D6dbV1EZHjMgXAlBS1degJAyAR3cbJCZg4UU4KcXICvvwS6NkTyMpSXRkROSIfH7meO6e2Dj1hACSiu3r5ZWDZMqBsWWDVKlkfyL/QicjcqlWTa2qq2jr0hAGQiIrUowewYQNQpQqwZw8QHg4cOqS6KiJyJKYAePEikJurtha9YAAkonsKDQV27ADq1QNOngRatpQdw6XBRtBEdKtKlWS5CQCkpamtRS8Mmsb9fURUPOfPA927A7t2FW4WeeKJ0j2X0WiEt7c3MjIy4OXlZd5CicjuVKsmP2P%2B/BN46CHV1Tg%2BjgASUbFVrQqsXy8bQnJygH79gMmTVVdFRI6gShW5cgTQOhgAiahEypUDliyRDSKaBrz%2Butzy81VXRkT2rHJluV64oLYOvWAAJKISc3YGpk8HPvlE7k%2BeDDz1FHDlitq6iMh%2BVaok1/R0tXXoBQMgEZWKwQC89Rbw7beAqyuweDHQoQN/eBNR6TAAWhcDIBHdl/79gTVrAG9v2RncsiVw4oTqqojI3lSsKNeLF9XWoRcMgER039q0AbZtA/z9gcOHpVfgnj2qqyIie2IKgJcuqa1DLxgAicgsGjeWXoHBwXKcU%2BvWcnrIrdgHkIjupEIFuTIAWgcDIBGZjZ8fsHkzEBkJZGfLKSJffnnz24wYMQLx8fGIjY1VUyQR2SRvb7lmZKitQy8YAInIrLy8gF9%2BAaKigLw84MUXgfffl5YxRER3Y%2BoHbzSqrUMvGACJyOxcXYF584B//1vuf/gh8NxzwLVrausiItvFAGhdDIBEVGJLly5Fx44dUaVKFRgMBsTFxd32NgaDBL85c6Rv4NdfA926AVk7/waGDwciIuQNZ8wAMjOt/BkQka3x9JQrfxxYBwMgEZVYdnY2IiIiMHHixHu%2B7ZAhwIoVgIcH4L3uR7i1bAbMmgX8/be8wZgxQGgokJpq4aqJyJYxAFqXQdO4MoeISufkyZMICAjAvn378PDDDxf5tnHr01G/XU2UgxwXYgTgDSADgBcADBgALFxo4YqJyFYlJQG1agEuLlwuYg0cASQiq3j47wUF4e%2BOFi/mEQBEOla%2BvFxzcxkArYEBkIis4npCQtFvcO0acPq0dYohIpvj4VH48uXL6urQCwZAIirSwoULUb58%2BYLbli1bSvU8Gw4eLPL1mpMT4ONTqucmIvvn4gI4/ZNKGAAtr4zqAojItvXo0QOhoaEF9/38/Er1PI/NmQOtfn0Yrl%2B/4%2Bv31%2BqKxlV84FyqZycie2cwAOXKAVlZDIDWwBFAIiqSp6cn6tWrV3ArW7ZsqZ7HLSAAhs8%2Bu%2BPrzqIGep/8HH368Ac/kZ65u8v16lW1degBAyARlVh6ejri4uIQHx8PADh8%2BDDi4uKQkpJS9Du%2B8gqwbh3QtWvhye8jR2LvzFiccauLFSuAxx8Hzp%2B38CdARDaJAdB62AaGiEosJiYGzz333G2Pjx07FuPGjSvWcxiNRnh7eyMjIwNeXl7YuhXo2VM2AterB/z6q1yJSD8CA4GjR4GtWwt7xZNlMAASkRK3BkAAOHQI6NwZOHkSqFJFzhS%2BYfkhETm4xo2B%2BHhg/XqgbVvV1Tg2TgETkc1o2BDYsQNo3hxIS5NfAD/9pLoqIrIWV1e5sg%2Bg5TEAEpFNqV4d2LgR6NIFuHIF6NNHjgsmIsdX5p/eJLm5auvQAwZAIrKq6OhoBAUFISQk5K5vU768jPwNGQLk5wMjRgCjR8vLROS4XFzkygBoeQyARGRVI0aMQHx8PGJjY4t8uzJlgNmzgQ8%2BkPuffAI8%2ByyQk2OFIolICdMI4F3ahZIZMQASkc0yGID33gNiYuQXw6JFQKdOwKVLqisjIktw/qcTfF6e2jr0gAGQiGxeVBSwahXg6SnrAx99FEhKUl0VEZkbA6D1MAASkV2IjAS2bAF8fYEDB4CwMODPP1VXRUTmZDoLmA3qLI8BkIjsRnCwtIlp3Bg4exZo1UoOFiEix2AwyJUbviyPAZCI7EqtWnJKQJs2QGamtIv5%2BmvVVRGROZgCIFkeAyAR2Z0KFYDVq4H%2B/WW34ODBwEcfcdqIyN4xAFoPAyARWVVx%2BgAWh5sbsGAB8NZbcv%2B994Bhw9g%2Bgsie8Y8462EAJCKrKm4fwOJwcpL%2BgNHR8vKcOUDPnkBWlhkKJSKrM639c2I6sTh%2BiYnI7r38MrB0KVC2rLSLadMGSElRXRURlZRpBJBTwZbHAEhEDqFnT2DDBqBKFWDPHiA8HDh8WHVVRFQSpv5/pn6AZDkMgETkMEJDpU1M3brAyZNAy5ayY5iI7AMDoPUwABKRQ6lXT0JgaCiQng60bw8sXqy6KiIqDtMmLtOZwGQ5DIBE5HCqVgXWr5dp4ZwcoF8/YPJk1VUR0b3k5srVxUVtHXrAAEhEDqlcOWDJEtkgomnA66/LjScMENkuBkDrYQAkIofl7AxMny6tYgAZBXzqKeDqVbV1EdGdXbsmV1dXtXXoAQMgEVmVuRpBF5fBIM2iv/1WfqksXizrAtPTrfLhiagEcnLk6uamtg49MGga%2B24TkfUZjUZ4e3sjIyMDXl5eVvmYGzcCvXoBGRlAgwbAr78CAQFW%2BdBEVAz%2B/sDp00BsLNCihepqHBtHAIlIN9q0AbZtk18yhw9Lr8A9e1RXRUQmpuUZ7u5q69ADBkAi0pXGjaVNTHAwcO4c0Lq1nB5CROqZAmDZsmrr0AMGQCLSHT8/YPNmIDISyM4GevSQc4SJSB1NAy5flpfLlVNbix4wABKRLnl5AStXAlFRcvrA0KHAe%2B8VnkVKRNZ17VphmyaOAFoeAyAR6ZaLCzBvngQ/APjoI2Dw4MJWFERkPdnZhS97eKirQy8YAIlI1wwG4IMPZArY2RmYPx/o2hUwGlVXRqQvpgDo6spG0NbAAEhEVmXtPoDFNWQIsGKFjDz89hvQqhVw5ozqqoj0IzNTrhz9sw72ASQiJVT0ASyOPXtkBPDcOaBmTekV%2BOCDqqsicny7dgFhYUCtWsCpU6qrcXwcASQiukHz5sDOnUDDhtKQ9tFHgQ0bVFdF5PhMI4A29PegQ2MAJCK6RZ060jD60Ufl1JCOHYGFC1VXReTYTOtuGQCtgwGQSOeWLl2Kjh07okqVKjAYDIiLi7vn%2B8TExMBgMNx2u2rq4uoAKlUC1q0DnnwSyM0Fnn0WmDiRbWKILOXSJbl6e6utQy8YAIl0Ljs7GxEREZg4cWKJ3s/LywvJyck33dwd7Pwmd3fgu%2B%2BAN96Q%2B2PGAC%2B/DFy/rrYuIkeUkSFXBkDrKKO6ACJSa%2BDAgQCAkydPluj9DAYDqlevboGKbIuTE/Dpp0Dt2sCoUcDMmbI7eNEi7lYkMqeLF%2BVasaLaOvSCI4BEVCpZWVmoXbs2atasiW7dumHfvn2qS7KoV18FFi%2BWUcGffwbatgVSU1VXReQ4TFPADIDWwQBIRCXWsGFDxMTEYMWKFVi0aBHc3d0RERGBhISEu75PTk4OjEbjTTd706cP8PvvQOXKQGwsEB4OHDmiuioix5CeLlcGQOtgACTSkYULF6J8%2BfIFty1btpTqecLCwvDss88iODgYrVq1wg8//ID69etj2rRpd32fCRMmwNvbu%2BDm7%2B9f2k9DqZYtge3bgQceAI4fL7xPRPfnwgW5Vq6stg69YAAk0pEePXogLi6u4NaiRQuzPK%2BTkxNCQkKKHAEcM2YMMjIyCm5JSUlm%2Bdgq1K8P7NgBhITIL6127YClS1VXRWTfGACti5tAiHTE09MTnp6eZn9eTdMQFxeHJk2a3PVt3Nzc4ObmZvaPrUq1atIgun9/WRP4xBPA558Dr72mujIi%2B3T%2BvFyrVlVbh15wBJBI59LT0xEXF4f4%2BHgAwOHDhxEXF4eUlJSCtxk0aBDGjBlTcH/8%2BPFYs2YNjh8/jri4OLzwwguIi4vD8OHDrV6/Sh4eMvI3fLj0Bxw1SlrG5OerrozI/qSlyZUB0DoYAIl0bsWKFWjatCm6du0KAHj66afRtGlTzJw5s%2BBtEhMTkZycXHD/0qVLGDp0KBo1aoQOHTrgzJkz2Lx5Mx555BGr169amTLAjBnAhAly//PPgaeeAhyoJzaRxV25AmRlycsMgNZh0DT2tSci6zMajfD29kZGRga8HOTsp2%2B/BQYPlpNDIiKAn37ieiai4jh1So5gdHWVP54MBtUVOT6OABIRmcmAAcDatXKSwbZtEgJPnFBdFZHtO3dOrj4%2BDH/WwgBIRGRGbdpI%2BPP3Bw4fBsLCgN27VVdFZNtMS451cLiQzWAAJCKrio6ORlBQEEJCQlSXYjGNGwM7dwIPPyynhbRuDfzyi%2BqqiGyXaYkxA6D1MAASkVWNGDEC8fHxiI2NVV2KRfn6Aps3Ax07ApcvAz17yjnCRHS7s2fl6uurtg49YQAkIrIQT0/pEfj889Ia5qWXgNGj2SaG6FZnzsiVAdB6GACJiCzIxQX48ktg/Hi5/8knwLPPAjk5ausisiWmEUA/P7V16AkDIBGRhRkMwPvvAzEx0jdw0SKZGr54UXVlRLbBdDJkzZpq69ATBkAiIiuJigJWrZKp4U2bpE3MqVOqqyJS7/Rpufr7q61DTxgAiYisKFNUwMMAABbBSURBVDIS2LpVproOHpQ2MXv3qq6KSJ3MTODSJXmZAdB6GACJiKzsoYekTUyTJtL/7LHHZGSQSI9Mo%2BAVKsjoOFkHAyARkQI1awJbtgDt2wPZ2UCPHsDs2aqrIrI%2BUwCsU0dpGbrDAEhEVqWHRtDF5e0tI3%2BDBwN5ecCwYcA777BNDOnLyZNyZQC0LgZAIrIqvTSCLi4XF2DuXGDsWLk/YQIwcCDbxJB%2BmM7LZgC0LgZAIiLFDAZg3Dhg3jxpE/Ptt2wTQ/px/LhcH3hAbR16wwBIRGQjBg%2B%2BuU1My5aFoyNEjurYMbnWrau2Dr1hACQisiGmNjE1awKHDgHh4cDu3aqrIrIMTQOOHpWXGQCtiwGQiMjGmNrEBAcD584BrVvLmcJEjiY5Gbh8GXByAgICVFejLwyAREQ2yM8P2LxZ1gJevgz06gVER6uuisi8jhyRa506gKur0lJ0hwGQiMhGeXnJyN%2BQIdIaZuRI4M032SaGHIcpADZooLYOPWIAJCKrYh/AknFxkQbR//mP3P/0U6BfP%2BDKFbV1EZnDoUNyZQC0PgZAIrIq9gEsOYNBGkQvXCjTZEuWAI8/Dpw/r7oyovtz8KBcGzZUW4ceMQASEdmJAQOAtWuBihVlk0hYWOEUGpE9MgXARo3U1qFHDIBERHakdWtg%2B3bZMXn8uLSJ2bJFdVVEJZeVVXgOcOPGamvRIwZAIiI707ChjACGhgLp6UD79sCiRaqrIiqZ%2BHi5VqsGVK6sthY9YgAkIrJD1aoB69cDvXsD167J9PDHH0tjXSJ78Pffcm3SRG0desUASERkp8qVA378EXjjDbn/7rvSMiY3V21dRMXx119yZQBUgwGQiMiOOTtLa5joaDlNYe5coEsXICNDdWVERfvzT7k%2B9JDaOvSKAZCIyAG8/DKwYgXg4QH89hsQEQGcPKm6KqI707TCAPjww2pr0SsGQCKyKjaCtpyuXWVHsK8vcOCAtIlhu0WyRadOARcvSqPzoCDV1eiTQdO4ZJiIrM9oNMLb2xsZGRnw8vJSXY5DOX1awuBffwFly0oD6d69VVdFVGjpUqBvXxn927dPdTX6xBFAIiIHU7MmsHUr0LmzHBnXt6%2BsE%2BSf%2B2Qr9uyRa/PmauvQMwZAIiIH5OkpawJfflmC35tvAi%2B9xB3CZBt275YrA6A6DIBEVCK5ubl4%2B%2B230aRJE3h4eMDX1xeDBg3C2bNnVZdGtyhTBpg%2BHfjsMzlPeNYsoFs37hAmtTStcG3qI4%2BorUXPGACJqEQuX76MvXv34r333sPevXuxdOlSHDlyBD169FBdGt2BwQC8/jqwbJn0DVy7VnYIm47gIrK2o0dlA4ibG3sAqsRNIER032JjY/HII4/g1KlTqFWrVrHeh5tArG/PHqB7dyA5WU4SWbFCjpMjsqZvvgEGDZJzrLdvV12NfnEEkIjuW0ZGBgwGAypUqHDXt8nJyYHRaLzpRtbVvDmwaxcQHAykpgJt2shJIkTWZAp94eFq69A7BkAiui9Xr17F6NGjMWDAgCJH8iZMmABvb%2B%2BCm7%2B/vxWrJBN/f%2BkV2K0bcPUq0K8fzxAm6zIFwJYt1dahdwyARFSkhQsXonz58gW3LVu2FLwuNzcXTz/9NPLz8zFjxowin2fMmDHIyMgouCUlJVm6dLoLT09g%2BXLgtdfk/rvvAoMHAzk5SssiHcjIAPbvl5cZANXiGkAiKlJmZibOnTtXcN/Pzw9ly5ZFbm4u%2BvXrh%2BPHj2P9%2BvWoXLlyiZ6XawBtwxdfAK%2B8AuTlAa1aSYPeKlVUV0WOatUqaVJerx6QkKC6Gn0ro7oAIrJtnp6e8PT0vOkxU/hLSEjAhg0bShz%2ByHa89BJQty7w5JMyNRwaCvzyC9CokerKyBFt3izXxx5TWwdxCpiISuj69et44oknsHv3bixcuBB5eXlISUlBSkoKrl27pro8KoUOHYAdO4CAAOD4cVmcv3at6qrIEW3cKFcGQPU4BUxEJXLy5EkEBATc8XUbNmxAmzZtivU8nAK2PefPA336yDFyzs7A1KlykgiRORiNQKVKstzg1CmgmB2jyEI4AkhEJVKnTh1omnbHW3HDH9mmqlWB336THm15ecCIEcDIkcD166orI0ewebN8X9Wty/BnCxgAiYiogJsbEBMDTJggp4hERwNdusjJDUT3Y906ubZrp7YOEgyARER0E4MBGD1adgSXKye/uMPCgCNHVFdG9swUACMj1dZBggGQiKwqOjoaQUFBCAkJUV0K3UOvXsC2bdI8%2BsgRCYG//666KrJHiYnAwYOAkxNHAG0FN4EQkRLcBGI/UlKA3r2BnTtlc8iUKbI5xGBQXRnZi9mzgWHDeP6vLeEIIBERFal6dWDDBmDgQFnEP3Kk9A/MzVVdGdmLlSvl2qWL2jqoEAMgERHdk7s78PXXwCefyMjfrFmylistTXVlZOuuXJHd5YCcQU22gQGQiIiKxWAA3noLWLFCzhPetAkICSk825XoTtavBy5fBmrWBIKDVVdDJgyARERUIt26yXrAunWBkydlXdeyZaqrIlu1fLlce/TgulFbwgBIREQlFhQE/PGH7OjMzpYTRMaPB/LzVVdGtiQvD/jpJ3m5d2%2B1tdDNGACJiKhUKlUCVq8GXntN7o8bB/TtC2RmKi2LbMiWLXLEYKVKQOvWqquhGzEAEpFVsQ%2BgYylTBpg8GZg7F3B1lem%2B8HDg6FHVlZEt%2BOEHufbsCbi4qK2FbsY%2BgESkBPsAOp6dO2UqODkZqFABWLQI6NRJdVWkyvXrgK%2BvjACuXg107Ki6IroRRwCJiMgswsKAPXvkeukS0LUrMHEiwGEGffr9dwl/VaoAjz%2Buuhq6FQMgERGZTY0awMaNwJAhsiFkzBigXz8gK0t1ZWRtCxbItV8/Tv/aIgZAIiIyKzc3YM4cYOZM%2BcW/eLGMCiYkqK6MrCUrC1i6VF5%2B9lm1tdCdMQASEZFFDBsmo4E1agAHDgAtWgA//6y6KrKGH3%2BU5s%2BBgRL%2ByfYwABIRkcW0bCnrAiMiAKNRmgG/9570hyPH9dVXcn3uOTZ/tlUMgEREZFE1ashxYCNHyv2PPpINIhcuqK2LLOPgQWDbNsDZGYiKUl0N3Q0DIBERWZyrKzBtmmwMKFsWWLMGaNYMiI1VXRmZ26xZcu3aVdrAkG36//buPrbK8ozj%2BO8A0lVaKitDWizCRMB2Dcg8YLRsYguBmbApLyksVlcXdROzLWNhLIKNwpoRXRbHKYvZVJRuWTIRqwwdFWVlUGapCAJdO4u4DigvbrRrx6HQsz8uKeBKabGeu6f395M86Xnoc8p1Uv74cb9cNwEQQFTRCNpv3/ym9QscNUr68EMpK8s2i9AqpndoapKee85ef%2Bc7TkvBJdAIGoATNIL224kT0r332skhku0UXbVKSkhwWhY%2BpV/9yoLfdddJ1dVSH4aZeix%2BNQCAqEtKsjYhK1bYWrE1a6SJE6W9e11XhsvV2io99ZS9XrCA8NfT8esBADgRCEg/%2BpH05pu2UWTfPikYlF54wXVluByvvWa/w8REKT/fdTW4FAIgAMCpyZOlnTul7GzrHZeXJ913n71G7Fixwr7ef7/Eqo6ejwAIAHBuyBDbGVxQYCODzzxjU8J79riuDJ2xdau0ebOd/PL977uuBp1BAAQA9Ah9%2B0qPPiqVlkpDh1r4CwatqTDbFXu2Zcvsa16edM01bmtB5xAAAQA9yu2325Tw1KnSf/8rffvb0rx5tnMYPc/27dKGDRbgf/xj19WgswiAAKKKPoDojKuvtk0FhYVSv37S738v3XijtG2b68rwSY88Yl/z8qy/I2IDfQABOEEfQHRWebk0f760f/%2B5aeKf/MRew6033pBycmztX3W1NGKE64rQWYwAAgB6tJtvlt55x6aBz5yRli6VbrtN%2BuAD15X5rbXV2vhI0oMPEv5iDQEQANDjJSVJxcXS88/baSFbtkjjxlnPQOax3Hj%2BeQvmAwdKS5a4rgZdRQAEPNbS0qJFixYpMzNTAwYMUGpqqvLy8nTw4MEO31dQUKBAIHDBNXTo0ChVDV8FAtLdd0vvvivdcovU0GDrzubOlY4fd12dXxoazm34eOQR6QtfcFsPuo4ACHisublZlZWVWrJkiSorK7V27VpVV1dr5syZl3xvRkaGDh061Hbt3r07ChUD0he/aD3nHn/cNoj84Q/Sl74krV/vujJ/LFki1ddLo0dL3/ue62pwOdgEAuACb7/9tiZOnKgDBw5o%2BPDh7T5TUFCgdevWaefOnZf997AJBN1hxw4bFdy3z%2B7z86Wf/9ymjPHZqKiQJk2yNYCvvy5Nm%2Ba6IlwORgABXODEiRMKBAK66qqrOnyupqZGqampGjlypHJzc1VbWxulCoFzvvxlC4E/%2BMG5E0QyM6U//cl1Zb3TqVPWl7G11TblEP5iFyOAANqcPHlSWVlZGjt2rNasWXPR5zZs2KDm5maNHj1a9fX1WrZsmaqqqrRnzx4lJye3%2B55wOKxwONx239DQoLS0NEYA0W3KyqR775XO/l8kP1968knpEv%2BXQRcsXWpT78nJ0t69doQfYhMjgIBHiouLlZCQ0HaVlZW1fa%2BlpUW5ublqbW1VUVFRhz9nxowZmjVrljIzM5WTk6P1Hy%2B%2BWr169UXfU1hYqKSkpLYrLS2tez4U8LHJk6Vdu6SHH7b7Z56R0tOldevc1tVblJdLP/2pvQ6FCH%2BxjhFAwCONjY2qr69vux82bJji4%2BPV0tKiuXPnqra2Vps2bbroKF5Hpk6dqlGjRmnVqlXtfp8RQETTli3SffdZc2JJmjVLeuopKTXVbV2x6t//liZMsGbc8%2BdbSx7ENkYAAY8kJiZq1KhRbdf54a%2BmpkalpaWXFf7C4bD27dunlJSUiz4TFxengQMHXnABn5WsLGsXs3ixnRjy4ovSDTdIRUXWTBqdF4lYmN6/35o9h0KuK0J3IAACHjt9%2BrRmz56tiooKFRcX68yZMzp8%2BLAOHz6sU6dOtT2XnZ2tlStXtt0vXLhQmzdv1v79%2B7V9%2B3bNnj1bDQ0Nuueee1x8DKBdn/ucTVnu2CEFg9a77qGHrIdgZaXr6mLHz34mrV0r9e9vZzKzprJ3IAACHqurq1NJSYnq6uo0fvx4paSktF1bt25te%2B7999/XsWPHLnjfvHnzNGbMGN11113q37%2B/ysvLde2117r4GECHxo2Ttm2TfvlLO7Xir3%2BVbrrJwuBHH7murmd75RU7d1myKfSJE93Wg%2B7DGkAATtAHEC4cOiT98IfS735n98nJ0vLl1tqkb1%2B3tfU0FRV25nJTk531e5HlvYhRjAACALyRkiL99rfSpk1SRoYdIffgg9ZP8M03XVfXc1RXS1/7moW/qVNt9A%2B9CwEQAOCdKVOkd96RfvELW9P27rvS7bdLX/%2B6VFXlujq3amul7Gzp6FHpxhvtqL0rrnBdFbobARBAVIVCIaWnpysYDLouBZ674go7x7amRlqwwKaAS0rsXOEHHpD%2B%2BU/XFUZfTY301a9KdXXS2LHSa6/Zukn0PqwBBOAEawDR01RVSYsWWQiUbBfxggX2Z4MHu60tGnbssGnfI0cs/G3aZFPm6J0YAQQAQBZ6Xn7ZjpS79Vbp5EnpiSekkSNtJ%2Bx5G%2BF7nZISG/k7ckQaP17avJnw19sRAAEAOE9WloXA9ettDdx//iMVFloT5IULpYMHXVfYfVpbpccek77xDdvwkZMjvfUWx7z5gAAIAMAnBAI2Hbpjh50lPGGCBaQnn7QgmJ8vvfee6yo/nYMHpenTpUcftdM%2Bvvtd6Y9/lJKSXFeGaCAAAgBwEYGA7QyuqLBwNHmy1NIiPfuslJlpLVJKSmLreLlIRHrhBdvssnGjFB9vnycUYrevT9gEAsAJNoEgVm3bZiOBL71kU6iSNHy4nZf7rW9JaWlu6%2BvIrl228/mtt%2Bx%2BwgSpuNjWP8IvBEAAThAAEes%2B%2BEAqKpJ%2B85tzR8oFAtZD7%2B67bV1dT/mnXVMjLVtmI3%2BRiO1wXrrU1jQy6ucnAiCAqAqFQgqFQjpz5oyqq6sJgIh5J09as%2BRf/9p2z54VFyfNmCHdead0xx127Fw0RSLSn/9sZyCfP1o5Z460YoWtZYS/CIAAnGAEEL1Rba20Zo0dN/e3v5378z59pEmTpGnT7BSSSZNsFK67RSI2zbt2rdXw97%2Bf%2B94dd0gFBdJNN3X/34vYQwAE4AQBEL3Z2SD24ovWW3DXrgu/37%2B/tZgJBu1rRoY0ZowdS9cVTU3Snj1SZaX0l79Y8%2Bbz29QkJEjz50sPP2ybPoCzCIAAnCAAwif/%2BIf0%2ButSaalNEx8%2B3P5zgwZJw4ZJqanS5z8vJSbaVHKfPtLp01Jzs/Svf0n19dKHH7bfkzA%2B3nYnz5lj6xATEj7bz4bYRAAE4AQBEL6KRGyquLzc%2Bgzu2iXt3SsdOnR5P2/IEDu9Y9Ik6StfsVNM4uO7t2b0PgRAAE4QAIELNTZKBw5IdXU2wvfRR3YKSThsGzj69ZOuvNKmiYcMka65RrruuuhvLkHvQAAE4AQBEADc4SQQAAAAzxAAAQAAPEMABBBVoVBI6enpCgaDrksBAG%2BxBhCAE6wBBAB3GAEEAADwDAEQAADAMwRAAAAAzxAAAQAAPEMABAAA8AwBEAAAwDMEQABRRR9AAHCPPoAAnKAPIAC4wwggAACAZwiAAAAAniEAAuiygoICjR07VgMGDNCgQYOUk5Oj7du3uy4LANBJBEAAXTZ69GitXLlSu3fv1pYtWzRixAhNmzZNR48edV0aAKAT2AQC4FM7u6GjtLRU2dnZXXoPm0AAIPoYAQTwqZw6dUpPP/20kpKSNG7cONflAAA6oZ/rAgDEpldffVW5ublqbm5WSkqKNm7cqMGDB1/0%2BXA4rHA43Hbf0NAQjTIBAO1gBBBAh4qLi5WQkNB2lZWVSZKmTJminTt3auvWrZo%2Bfbrmzp2rI0eOXPTnFBYWKikpqe1KS0uL1kcAAHwCawABdKixsVH19fVt98OGDVN8fPz/PXf99dcrPz9fixcvbvfntDcCmJaWxhpAAHCAKWAAHUpMTFRiYuIln4tEIhcEvE%2BKi4tTXFxcd5YGALhMBEAAXdLU1KTly5dr5syZSklJ0fHjx1VUVKS6ujrNmTPHdXkAgE4gAALokr59%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%3D%3D'}