Embedded newform data - 1472.2.a.a.1.1

Formats: - HTML - YAML - JSON - 2026-08-12T04:57:25.169699

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 5888, 'analytic_conductor': 11.753979177532473, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [23, -1]], 'atkin_lehner_string': '+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1472, 1, [1151, 645, 833], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [3, 1]], [5, [0, 1]], [7, [2, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 33555904, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1472.2.a.a', 'level': 1472, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 23], 'level_radical': 46, 'minimal_twist': '184.2.a.d', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-3q^{3}-2q^{7}+6q^{9}+5q^{13}-6q^{17}+\\cdots', 'related_objects': ['EllipticCurve/Q/1472/a'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1472.2.a', 'trace_display': [0, -3, 0, -2], 'trace_hash': 2302688559796782862, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.019', 'prec': 7}, {'__RealLiteral__': 0, 'data': '1.006', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.015', 'prec': 7}, {'__RealLiteral__': 0, 'data': '2.039', 'prec': 14}, {'__RealLiteral__': 0, 'data': '0.026', 'prec': 7}, {'__RealLiteral__': 0, 'data': '5.176', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.010', 'prec': 7}, 'traces': [1, 0, -3, 0, 0, 0, -2, 0, 6, 0, 0, 0, 5, 0, 0, 0, -6, 0, -6, 0, 6, 0, 1, 0, -5, 0, -9, 0, -9, 0, 3, 0, 0, 0, 0, 0, 8, 0, -15, 0, 3, 0, 8, 0, 0, 0, 7, 0, -3, 0, 18, 0, 2, 0, 0, 0, 18, 0, -4, 0, 10, 0, -12, 0, 0, 0, -8, 0, -3, 0, 7, 0, 9, 0, 15, 0, 0, 0, -6, 0, 9, 0, 14, 0, 0, 0, 27, 0, 16, 0, -10, 0, -9, 0, 0, 0, 6, 0, 0, 0, -6, 0, 14, 0, 0, 0, -14, 0, 0, 0, -24, 0, 2, 0, 0, 0, 30, 0, 12, 0, -11, 0, -9, 0, 0, 0, 5, 0, -24, 0, 9, 0, 12, 0, 0, 0, 4, 0, 23, 0, -21, 0, 0, 0, 0, 0, 9, 0, -14, 0, 7, 0, -36, 0, 0, 0, -12, 0, -6, 0, -2, 0, 11, 0, 0, 0, 4, 0, 12, 0, -36, 0, 10, 0, 10, 0, 12, 0, 3, 0, 0, 0, -30, 0, 0, 0, 0, 0, 18, 0, -16, 0, -7, 0, 0, 0, 27, 0, 20, 0, 24, 0, 18, 0, 0, 0, 6, 0, 0, 0, -8, 0, -21, 0, 0, 0, -6, 0, -27, 0, -30, 0, 8, 0, -30, 0, 10, 0, 20, 0, 0, 0, 15, 0, 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0, 62, 0, -126, 0, -11, 0, 0, 0, -21, 0, 45, 0, 39, 0, -54, 0, 0, 0, -10, 0, -102, 0, -47, 0, -94, 0, 0, 0, 48, 0, -49, 0, -12, 0, -54, 0, 0, 0, -120, 0, -60, 0, -30, 0, 18, 0, -10, 0, 0, 0, -9, 0, 84, 0, 23, 0, 0, 0, -3, 0, -24, 0, 21, 0, -12, 0, 0, 0, -135, 0, 0, 0, 10, 0, 12, 0, 0, 0, -18, 0, -126, 0, 51, 0, -50, 0, 0, 0, 70, 0, -42, 0, 0, 0, -72, 0, 0, 0, 24, 0, -24, 0, -64, 0, 66, 0, 0, 0, -64, 0, 126, 0, 12, 0, 0, 0, 0, 0, 36, 0, 40, 0, 141, 0, -40, 0, 0, 0, 216, 0, 38, 0, 21, 0, -78, 0, 0, 0, 16, 0, 138, 0, 5, 0, -48, 0, -150, 0, -72, 0, 54, 0, 0, 0, 56, 0, 0, 0, 0, 0, 84, 0, -60, 0, 0, 0, 0, 0, -44, 0, 42, 0, 50, 0, -35, 0, 0, 0, 1, 0, 0, 0, -84, 0, 54, 0, 0, 0, -24, 0, -70, 0, 97, 0, 0, 0, -60, 0, 100, 0, 114, 0, 0, 0, 72, 0, 0, 0, -126, 0, -30, 0, -150, 0, 27, 0, 0, 0, 72, 0, 19, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [-1.7320508075688772, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7559289460184545, 0.0], [0.0, 0.0], [2.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3867504905630728, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.4552137502179978, 0.0], [0.0, 0.0], [-1.3764944032233706, 0.0], [0.0, 0.0], [1.3093073414159544, 0.0], [0.0, 0.0], [0.20851441405707477, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [-1.7320508075688772, 0.0], [0.0, 0.0], [-1.6712580435934667, 0.0], [0.0, 0.0], [0.5388159060803247, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.3151918984428583, 0.0], [0.0, 0.0], [-2.401922307076307, 0.0], [0.0, 0.0], [0.4685212856658182, 0.0], [0.0, 0.0], [1.2199885626608373, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0210549404852618, 0.0], [0.0, 0.0], [-0.42857142857142855, 0.0], [0.0, 0.0], [2.520504151250418, 0.0], [0.0, 0.0], [0.27472112789737807, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.3841582427170787, 0.0], [0.0, 0.0], [-0.5207556439232954, 0.0], [0.0, 0.0], [1.2803687993289596, 0.0], [0.0, 0.0], [-1.511857892036909, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9773555548504418, 0.0], [0.0, 0.0], [-0.3611575592573076, 0.0], [0.0, 0.0], [0.8307471607356973, 0.0], [0.0, 0.0], [1.0533703247651751, 0.0], [0.0, 0.0], [1.7320508075688772, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6750527405556144, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [1.536699639855665, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [2.894703844062046, 0.0], [0.0, 0.0], [1.695996608010176, 0.0], [0.0, 0.0], [-1.0482848367219182, 0.0], [0.0, 0.0], [-0.9332565252573828, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6092076990801715, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, -0.4166666666666667, -0.25, -0.31168792860721245, -0.25, -0.12806142708885004, -0.3796837315047693, -0.3708097759585889, None, -0.4074483143333315, -0.2065860009601446, -0.13578671412293367, -0.21236654383917608, -0.1455858625861807, -0.1647250815038048, -0.22806904970820613, -0.2919235609372406, -0.13942896918815223, -0.3312603130967327, -0.18182543105739649, -0.16171734170805438, -0.30479510736051163, -0.11053907081045819, -0.08890384224467637, -0.2007379662762514, -0.298245004710895, -0.12886450284714118, -0.36829865007139784, -0.25, -0.23500579131553614, -0.21439700891524102, -0.18568974275255254, -0.2226708455644438, -0.035362577189995255, -0.3472000561071074, -0.20403209528577573, -0.3294734990721256, -0.17911691067569002, -0.22526903671687623, -0.18793739375602836, -0.2321187064579319, -0.25, -0.34825105224993846, -0.2905335429644564, -0.04411210336327781, -0.12460011152530998, -0.2944004049756011, -0.20684179776829464, -0.1961616404693081, -0.13510462824451733, -0.16825338355683328, -0.3190639004010052, -0.2705612897274775, -0.30110241684042116, -0.3164441246214386, -0.2203876989225584, -0.2743545585137208, -0.28906291277061125, -0.1285922610450338, -0.3402014341659285, -0.2689664183775128, -0.3069982024917879, -0.2682065882722539, -0.3300430665114222, -0.34560694974045203, -0.24105626133294106, -0.16256184105546853, -0.21504066462042984, -0.19780615952364755, -0.22000495955541857, -0.29728276486033856, -0.32877630374113903, -0.29202577993429857, -0.26651106171240047, -0.2336206212146415, -0.29959329879202107, -0.2338332604765818, -0.39186325372549274, -0.3522675059747876, -0.14395432898537533, -0.3698685406040656, -0.15994713899066645, -0.08301316426827111, -0.31280538619826226, -0.23096452126796943, -0.21570772044097522, -0.22739107719008606, -0.07577595991950012, -0.2537066274190662, -0.1893718109145778, -0.27216602708332627, -0.08266026540247633, -0.18707109962539678, -0.2247553091915135, -0.2464373255963237, -0.21421746563242688, -0.19606546194549795, -0.22196441642193473, -0.3143752941128618, -0.062301042577186855], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 1, 'hecke_orbit_code': 33555904, 'label': '1472.2.a.a.1.1', 'level': 1472, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [10, 13, 12, 9], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6], 'ALdims_old': [30, 38, 33, 36], 'Nk2': 5888, 'analytic_conductor': 11.753979177532473, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [1472, 1, [1151, 645, 833], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 181, 'dim': 44, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 7], 'hecke_orbit_code': 33555904, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 4, 4], 'label': '1472.2.a', 'level': 1472, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 23], 'level_radical': 46, 'mf_dim': 204, 'mf_new_dim': 44, 'num_forms': 26, 'plus_dim': 19, 'prim_orbit_index': 1, 'relative_dim': 44, 'sturm_bound': 384, 'trace_bound': 7, 'trace_display': [0, 0, 0, 0], 'traces': [44, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 16, 0, 0, 0, -8, 0, 0, 0, 16, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 16, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 0, 0, 0, 0, 8, 0, 0, 0, -8, 0, 0, 0, -40, 0, 0, 0, -24, 0, 0, 0, -32, 0, 0, 0, 64, 0, 0, 0, -8, 0, 0, 0, 40, 0, 0, 0, 12, 0, 0, 0, -48, 0, 0, 0, 16, 0, 0, 0, 32, 0, 0, 0, 8, 0, 0, 0, 72, 0, 0, 0, -64, 0, 0, 0, 48, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 4, 0, 0, 0, -72, 0, 0, 0, -16, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, -8, 0, 0, 0, -80, 0, 0, 0, 16, 0, 0, 0, -112, 0, 0, 0, -16, 0, 0, 0, -104, 0, 0, 0, -32, 0, 0, 0, 32, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 16, 0, 0, 0, 24, 0, 0, 0, 32, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 216, 0, 0, 0, -32, 0, 0, 0, -144, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 40, 0, 0, 0, 32, 0, 0, 0, -28, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, 64, 0, 0, 0, 32, 0, 0, 0, 16, 0, 0, 0, -56, 0, 0, 0, 120, 0, 0, 0, -48, 0, 0, 0, 48, 0, 0, 0, -32, 0, 0, 0, -48, 0, 0, 0, -8, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 24, 0, 0, 0, -32, 0, 0, 0, 76, 0, 0, 0, -16, 0, 0, 0, -40, 0, 0, 0, -80, 0, 0, 0, 48, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 64, 0, 0, 0, -32, 0, 0, 0, -40, 0, 0, 0, -96, 0, 0, 0, -56, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, -88, 0, 0, 0, -128, 0, 0, 0, -40, 0, 0, 0, 0, 0, 0, 0, -52, 0, 0, 0, -128, 0, 0, 0, 8, 0, 0, 0, -120, 0, 0, 0, -88, 0, 0, 0, 64, 0, 0, 0, -160, 0, 0, 0, 128, 0, 0, 0, -112, 0, 0, 0, -240, 0, 0, 0, 32, 0, 0, 0, -160, 0, 0, 0, -32, 0, 0, 0, 96, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, 96, 0, 0, 0, -208, 0, 0, 0, -64, 0, 0, 0, -144, 0, 0, 0, 136, 0, 0, 0, 336, 0, 0, 0, 44, 0, 0, 0, 136, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 0, 32, 0, 0, 0, 96, 0, 0, 0, 64, 0, 0, 0, -96, 0, 0, 0, 64, 0, 0, 0, 96, 0, 0, 0, -56, 0, 0, 0, 128, 0, 0, 0, 88, 0, 0, 0, 224, 0, 0, 0, -192, 0, 0, 0, 144, 0, 0, 0, 136, 0, 0, 0, 32, 0, 0, 0, 40, 0, 0, 0, 144, 0, 0, 0, 32, 0, 0, 0, 96, 0, 0, 0, 136, 0, 0, 0, -24, 0, 0, 0, 140, 0, 0, 0, -224, 0, 0, 0, 144, 0, 0, 0, 240, 0, 0, 0, -104, 0, 0, 0, -32, 0, 0, 0, 48, 0, 0, 0, -112, 0, 0, 0, -40, 0, 0, 0, 192, 0, 0, 0, -32, 0, 0, 0, -96, 0, 0, 0, 120, 0, 0, 0, 80, 0, 0, 0, -48, 0, 0, 0, -128, 0, 0, 0, -128, 0, 0, 0, 64, 0, 0, 0, 80, 0, 0, 0, -112, 0, 0, 0, -96, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 56, 0, 0, 0, 96, 0, 0, 0, 160, 0, 0, 0, 44, 0, 0, 0, 32, 0, 0, 0, -112, 0, 0, 0, 240, 0, 0, 0, 160, 0, 0, 0, 96, 0, 0, 0, 80, 0, 0, 0, 208, 0, 0, 0, 72, 0, 0, 0, 320, 0, 0, 0, 56, 0, 0, 0, 32, 0, 0, 0, 32, 0, 0, 0, 176, 0, 0, 0, 32, 0, 0, 0, -272, 0, 0, 0, 160, 0, 0, 0, 256, 0, 0, 0, 168, 0, 0, 0, 0, 0, 0, 0, -136, 0, 0, 0, 160, 0, 0, 0, 48, 0, 0, 0, -56, 0, 0, 0, -336, 0, 0, 0, 24, 0, 0, 0, 88, 0, 0, 0, -104, 0, 0, 0, 36, 0, 0, 0, 224, 0, 0, 0, 112, 0, 0, 0, 136, 0, 0, 0, 8, 0, 0, 0, -80, 0, 0, 0, -160, 0, 0, 0, 32, 0, 0, 0, 56, 0, 0, 0, 184, 0, 0, 0, -40, 0, 0, 0, 384, 0, 0, 0, 96, 0, 0, 0, -256, 0, 0, 0, 48, 0, 0, 0, 128, 0, 0, 0, -64, 0, 0, 0, -536, 0, 0, 0, 16, 0, 0, 0, -112, 0, 0, 0, 80, 0, 0, 0, 256, 0, 0, 0, 56, 0, 0, 0, -120, 0, 0, 0, 136, 0, 0, 0, -48, 0, 0, 0, -352, 0, 0, 0, -232, 0, 0, 0, 8, 0, 0, 0, -224, 0, 0, 0, 140, 0, 0, 0, 128, 0, 0, 0, -96, 0, 0, 0, -80, 0, 0, 0, 120, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, -96, 0, 0, 0, 408, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 20508
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33555904, 'target_is_minimal': False, 'target_label': '1472.2.a.a.1.1', 'target_level': 1472, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 20509
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195562001856, 'target_is_minimal': False, 'target_label': '1472.2.a.m.1.1', 'target_level': 1472, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 20510
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33554800, 'target_is_minimal': False, 'target_label': '368.2.a.a.1.1', 'target_level': 368, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 20511
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915666104, 'target_is_minimal': True, 'target_label': '184.2.a.d.1.1', 'target_level': 184, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 20512
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288297080, 'target_is_minimal': False, 'target_label': '1656.2.a.c.1.1', 'target_level': 1656, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 20513
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36028797052521712, 'target_is_minimal': False, 'target_label': '3312.2.a.i.1.1', 'target_level': 3312, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 20514
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 4049, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 274911465976, 'target_is_minimal': False, 'target_label': '4600.2.e.a.4049.2', 'target_level': 4600, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '40.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 20515
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 157625986991530992, 'target_is_minimal': False, 'target_label': '9200.2.a.bj.1.1', 'target_level': 9200, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '40.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 20516
    {'conductor': 40, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33559032, 'target_is_minimal': False, 'target_label': '4600.2.a.a.1.1', 'target_level': 4600, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '40.29', 'twisting_conrey_index': 29, 'weight': 2}
  • id: 20517
    {'conductor': 40, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 4049, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 274911465976, 'target_is_minimal': False, 'target_label': '4600.2.e.a.4049.1', 'target_level': 4600, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '40.37', 'twisting_conrey_index': 37, 'weight': 2}
  • id: 20518
    {'conductor': 56, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660933944, 'target_is_minimal': False, 'target_label': '9016.2.a.b.1.1', 'target_level': 9016, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '56.13', 'twisting_conrey_index': 13, 'weight': 2}
  • id: 20519
    {'conductor': 184, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396679893128, 'target_is_minimal': False, 'target_label': '4232.2.a.j.1.1', 'target_level': 4232, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '184.45', 'twisting_conrey_index': 45, 'weight': 2}
  • id: 20520
    {'conductor': 184, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555904, 'source_is_minimal': False, 'source_label': '1472.2.a.a.1.1', 'source_level': 1472, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660933392, 'target_is_minimal': False, 'target_label': '8464.2.a.b.1.1', 'target_level': 8464, 'twist_class_label': '184.2.a.d.1.1', 'twist_class_level': 184, 'twisting_char_label': '184.91', 'twisting_conrey_index': 91, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1975100
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 2}
  • id: 1975101
    {'charpoly_factorization': [[[3, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 3}
  • id: 1975102
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 5}
  • id: 1975103
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 7}
  • id: 1975104
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 11}
  • id: 1975105
    {'charpoly_factorization': [[[-5, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 13}
  • id: 1975106
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 17}
  • id: 1975107
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 19}
  • id: 1975108
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 23}
  • id: 1975109
    {'charpoly_factorization': [[[9, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 29}
  • id: 1975110
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 31}
  • id: 1975111
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 37}
  • id: 1975112
    {'charpoly_factorization': [[[-3, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 41}
  • id: 1975113
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 43}
  • id: 1975114
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 47}
  • id: 1975115
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 53}
  • id: 1975116
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 59}
  • id: 1975117
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 61}
  • id: 1975118
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 67}
  • id: 1975119
    {'charpoly_factorization': [[[-7, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 71}
  • id: 1975120
    {'charpoly_factorization': [[[-9, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 73}
  • id: 1975121
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 79}
  • id: 1975122
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 83}
  • id: 1975123
    {'charpoly_factorization': [[[-16, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 89}
  • id: 1975124
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 33555904, 'p': 97}
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 1, 'hecke_orbit': 1, 'label': '1472.2.a.a', 'level': 1472, 'portrait': 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HQHllZNUPcFkoQgSGnVUzp9nyNnYWR8jLVcvimi2085uaSZaXpctClh2/oejfoIIS1RJGj3ayy2fWbqAk96nDzrs/+E4PDphKPLCUGtz5tv7PGumyCQ0+w50uLoGcWpxZQzyw7c+5csN1y1yL//8CqbZqY5cnKWU8t1Flc1i6uS1XZCu5uw0kk4sZxyolPjRz8YmB/89ss/tX793I+MBqNOuO6D32xI/LVuf6cBvrzS5viaoBXYn186++Krt/sfkw8+33n16tpJ/Z5X1zh4YgNnVxosrQUstzUrHVhpp6y0Y5bXUk6vwYFlwcL8Gv/x+5Z51Y46x87McvJsg5NLmjPLltNLCccXU852E6Znh7zmmh43Xw6+rBGogDMrIaeWNKdXBP0RJIkh9A2NMGVmKsEAR04ndHqwfb1HozbCWgHCpzcwbNswYnlNg3VSZK0HowQslpV2xOZ1Ht2BQiiLMCNaoce2jUPW+oIjJzWp0cy1JM1QEHiQJIL+SHJ6RXJq2XJmNSEIhuAl3HJlj1dfJVho1VhebXHsTMDJJTizlHBmJeHEChxYttxw5RL/6ftW2TDd4ujpWU4v11hc9VlqS1bWUlY7MavdlJWO4VRbsf90wrfceoiZqc3JzkObHv6jj3yL2XHpZQ8LEf10HLXwg9Y3Gyove/s7q8E/+9nPc8MN1/GzP/2//dzvfure//VX/+Crl5xZPnrB0uqKvOrChAs2CuLYwxiFRWIRYCUgAYEQFi0svoSTyzUe3y+55uIVLt86pB6CpyW+p/B9TaMmqXuSfs9jz+GQu572OXJ2RCeJ2XNsxPq5Fd79mlWuuaTLDZe3ObyUsNQX1IMhB09a2p0GV18kWRum7DqsaNY1Lx6BSzdZhlHKMPXROmamCbuPBSid4skE7cFgJHnV5X0Gfck1l6R0BilHTja5cIOiUY9YG1nWTfdZ7XX41D3w7KGU5w4N2b5pmWsv6zAzG/HOW7p8x+stF29oksbTHDoxxYHjHsdOG46fjTl+NuXAWcHRtZhX7FjkP35fl/XT0xw7PcuZ5TqLaz7LbclqO6XdjVnrpaz1LCs9wamepDeI2DjbZcfmRXnltpULrt384oWk5iarr6zV6jN333PXF/n4J/74mw2Z897+TjL4Xbf/Ba++cYv6wh37/o+9B0/+7/c+fkjtPRWzMoJkFHP5RUv8X/90mesvrnNqeYbltQYr7dBJlY5mtQur7ZTVTsJKN2GpDcdWBbo25NarVvjO10dcuK7BWq/F2ZUaiys+S23BStuw3Dasdg2dgaEzsvSHCXOtmG3rDSAIPMvxsx5CBmxfp7hwk2XTuj5nVkfs3NfklZda6rVVXtg/S7MREUUeczOGwRCu2Dbkj++Z5rKtCaORZX5KEqcDmmHAi4eH1LwG1+1IeO5gxJlln81zARduhG0bIpSKOb4EvmcRwrJ9fcJMU9IdBPT6Hp2+x0pHsbIGy23DSjtlqZ1yug3Lw5Rtm3t85xuWuPVyTei1OLXUYmk1ZGlNs9wRrLUNa13H3Gs9y3IXTnUVZ9YSbrr8FB/5p4tcud2n02+w1mlwdmWevrkiFd6GnzvTmftP07V2+r73veebDZ1zbn+nAN5eeQylazUzOrjtscfPfvD5XUv/+dkXj7Lctix2YKknONuXLPVjbrj4DP/1R5e59qI6Z1enWV5rsNoJWel4rHY0qx1odw1r3YTVbsJKx3KmLTjZsyB6vPe1bd75KsNFG0OiqM5qO2St59PuKlZ7gm5fMBxZosSSpqCkJfCgFlimW5Z1szHaG3LgVMTz+wNM0uDtN0Vob42ndk1xwUb4yuMJr7064Gx7QKgVSRozOwNJ7KG9hOXlOq+5vsNXHmly4UZ4ct8Ijzpve5UhEQOeP5By6HiIlj7rZzQzDUEtEPi+QAlIDESxZRhBt29Z6xm6fcNa37DcswzSlO1b+rzz5jbvfXUEpsny2hRnV2os52TQhrVuSruXsNbNmduBe7GTcMOOM3zkR89y9QUhy50p2t06K+06Z1cDTpyRWLURo2f+3dzWC//s+qsuONrtDQavu/G6bzaUitvfGYDvfH43M7Ob/SOHn/2BteUXf3P51B5x4KiSZ5djVjoJq13DWg9WB4KzA8mZbsSrLl3kF39omesvCVlay0EesNb1We1q1rqCdtfS7qWsdRPaPcNqz3K2KzjVNsxM93nLDV1uuTxh+3pFq+bR6YYEngQUUSIxRmAs9IeAMMw0h+w7YTE24s4nG4z6NS7Z7HPrNX1is8b9T09z3aUe+073aK+2uPmaPnc/FbB+1rLriOWfv6fDrsMB62cldz2tuPUKxUq/w8Fjs1y3I+L+5wckozq3XOlz8dYhg6THHU8pSAUHjmtadY0W0B9IjBWkxhIngDRo39DuWRrNmK0bR7z6ij5veWXCXCPkzMoUy2s1Vjvu2Kx2BO0etLsJ7V5Cu5fS7ltW+pLTXcFSN+Gmy87ycz+0xLUXBSytTbHWrdPphqx2fVbaHkttzanFhOUe5s23XWVvuv7KH9tx8XUfP7t4Ilq/6dJvNqSAvyMAj6NYDofDd99991cvOXl28JG77n3Mu3hLgO8pOr3E3fuZbBgI2hnIT7UTbrniLD//Q4u88mKftc4Ui6tN2r2Qta7PWk/T7irafej2LJ1+QqeX0hsY2n3LYk+w2IM4HXHtpQM2zKb0+pZ33Dzigg2GJJVoaYliuG9nyNGzIRtnEl44EIKpc/kWxfWXGYKwz1P7+iwuNbjqggat6VUeec7jxktDlvtrrK622LDB8vguxfe8sccTuzRb1nks9dqsrsxy/RV9HnkhZbY2zVWX9DjbbvP4S9PUdIMbLrPs2DYE2WPnIcG62ZgzizH37/QYxgopITWWCzZGvOXmiG5PsWnGcP2lEEWObVfaAWs9j05f0e5JOj3o9FM6vZRuP6XTN6z1LSsDyYmOoD0YceuORf7TP1nlhkvdxdHp1ej0Ajp9n3ZPs9ZVrPUk7Z5Fy4QLN0VceOmt8XLH/7dvf/s79tfrtS9q7ZlvNra+6ZnM4WBAFI2+b9+ep3/l1In9s8ePL3Hp1hClFMZatJaEgSI1FotAYJHCoqRFSc0Te9fz07+rec+tK3zojStcuDni9HKLwK9RC3zqgUejpunWJM2Bx1RD0x+m9AYp60eGwcjSHQasLIYcP2aJEsOJ0wlBYAGBryxaCvoDhcAj6WtecYHg4k2WbZv7jNIuX31CsXv/DG99ZcD1V6zyia9afFHngs19nntEsXlaMd/qE6oaUexxtguNULNlveDZ3RHX76jx+uuW+P0vDfC9Jm++yeIFfb72eMRXHmvw0qEaF22qc8HGlIWZiAvnY66+IEUpg1YWsNSDgIXpgCj26PZ9Xtjn0Rtq+gNFbyjpDaA3tPT67rt3Bym9gaUzsKwNYLGvOLNqqU+1+fG3L/Ltt4649qIGp5ZatHs1un2fTt+jO9B0B4pBJEkSkAKM9Th0UnPgxLOeF0z/yvTMwsotN9/4v/T7/d+v1+v/8wI8jbsgzD85e+yBnz+0+4FZE/VZmPGIEkmcQJI6Z8Qai7XO8BGYCsBTfCl5bt8Cz+xtsO/kWd7z6h6vvnLIdLPFSrtOoxPSGvj0+u7E9IaSwVDTH2mGI8swMkSxJY4tSeruUeJjDUgl8LQg9AXTTcFMEzbMG7as7zM/0+b2p+CBZzykmeKtr/R4xeVdHnopJhq2uPUVgvZgwNnlBrfsMMxP96npgGGiWOzEKCN4xQ5NvTni6T0hr7t+ipuv7fL0HgV2ilde6fOD71rh7mcj7nqiwa6jIdsWFBtma8w060w1oRaApy1KgrGw65AgTQVxIogSGMW47zhKGYwMw5GhPzT0R4beADojWOxJznZhZIa86boV3v3qNt/9ZkOStDi91KDTC+kOfHoDj95AuWM4kAyGMIwsUWxIEnfcRnFKr3eCg8e/OntqOfml93zL6/Rau/+701PfPJB/0wBu7Wkg+sHB4p0/31v82rrpeoqdb9DrpwxGklEsGMUCKQVCKBACIUBKgZIGpSxaWTxlqHmCpX6NT96zha890+G1V6/x4TetcfWFPeam6yyv1ekOAvoDLwO2cvdIMIolcSJIErfUu9otF1RqDaEP9ZphthmzeV2fhB77TsR86v6Qg8caTAc1brxSc8s1HR7f2+bOR1vcdGnIto19/vgegRIBrWbMWm+EsaAELLT6dLo+Jqnx7tee5ZNfqXPxmZB33tQnipe5//k54jTkVVeu4503drh0a5uvPd3nuWN1dh7y2TIrmW0J6oHA99xFKAUIYTEWjLHEGeii2DKK3YU8jGAQQXcoWB0JVrog9JDrLlvjw29Z47VXpsy1aqx26rS7Nbr9gN7QozcoV4L+yIG7P7KMRoZRnBLFhigyDCNLbyRYPL3G85+4e93RNj//vd96q917ZOX3dmyf/Z8D4B/9nT/g3kPz/Ph/fuz7r7no2Efedc3X5hv+iJnWHDBCKw9PawYjiVYSJQVSCISQKKmRMkVJkS3PBk9ZAm2pacHqULHcnuHT9zV47IUet167xoffvMZ1F7eZS2skSUB/GNIbeAxGmihWxIkkSSWpERhbSqDAN9TDhMCP8L0RJ5ZHfOlJyf7jPoeOz6BMwMUbfa64UPHKyzuoYJHnDzTZPF3nqotgw8IqK50WV2+WJMZy+xMBo75kupHwtlcN+eL9MUdPN7nsEo9Ta0NePOixdf0M1164yEPPdXnkRcEo8rn8wlku3xpw+ZYuB06tsP8EPLG7zr6DDepaEGhJI7CEHkjpgipr3cWapBAlEKWC3kjQGQo6MUQmwdghN1za4cNv6fDaq1M2zgYMh1Mst0O6vYDe0Kc/0PSGKitWE/SHkuHI9Y0Oo5ThyBDFKcPIXUBO7kFnpDl4ss2nP/eFda+95IWPvOGVc4m1H/3E125v8eZ3fNc/XID/+Wf/nD/81H28912v+u57njz2a//nFw9Mm+9d44O3KVr1EWmqQOAkiNIoZVEZyJUSaKWyR4NWKZ4W+Nrge5bAs9T9lOlQ0B15rHZm+OwDLe7ZOWT9TJ8PvqHN5VuHDAc9rrrQsnWDYhR7pKkiNRKbg1saPJ1y5Izl0GnB2sDwhYfqnFiawUYeM6Fi05xm+wbNRZvhqos7GLnER7/YYGVlipsu11x1cZuv7RSIxGPdjKRRT+jHPtJKsBKlfdpDwZkVwZW2zhte2eXhp2tsmve56apZ/vG7lvj4V7o8sadBb+ixvNbkwk01LtvY51U7urzvdV1OrqzwhYcClvsBR055nDjh4ymBlBKBwFhLaiA2ljQxzMzFXHNln9Eo5vKtI97/hhHrphSzzYA4Djm1GNIf+PRHbpUbFMCWDEaCwUgwHOFWglHKKDKMIpOtDJZhZOlH0B4IVoaCBMMNlx5mW/3w/EOP3fJrnWhHfOHs3j/5/Of+nPe8933/8AD+7KOf4hU3z4p6eOsHDh0+8TvLi0frq6uCta7E0yNq4YgoUVhACDKNrVBKoaR0ZaNKoPNHLfB0iq8FvmcIPUstttQjy1SYMlMT9CNJN2pw6HiDX/yTWTAJIkl45TV9LtwQkSRgrMFal8SRQiCVQHs+e4767Nof0gg1TV8yXxcszEnWzWo2LSi2b0y5bPsaqVjm1z/X4sjRaW7a4XH5BSmDpMujzwdM1zzmpizTzYh6zUkhYyTtoWKlZ1lup7R7NV5z1RpP7uqz+6hiuhXyqiun+aF3L/Mbn4en9zfoDSxrXc2ZlRYb5uusmxmyfW7Iv/5An1a9zXOHYM8xiedZlLIIYQDr/rOQJHDBhpRbr05IY484CbC2zjDyOL3kMxi5FW0YqUK+DSLBcCQYRpLBCEaRY+1RZBiNDMPYZO9ZhrFlOIJuJOiMBGuRABMzP50wOw0PPntsenlQ/52TMxclLx1f+PRv/vYn7Y/9yIf+4QDcJr8IardaOnb8vXO1wSe8DQfD5tvbnFwyTAUjfD8hSYfUwzyQtCjpZQxu0UqhtcVTEk87zel7ipEnGUWGIEoZxZZabBjFhiiytBIYxYZRAlEiGMaSURoQpyG79zfYuRtSa3HQdtrYk+ArV/PRDOCqjdCqwVRDMtNUzE1r1s3Ctg0jNi6sEdsVfv1zUxw4OMX1Fyku2iK5eMsq976YcGZ5ildeKJlpGUJ/QCADrBIkqURYS5JGrPZCzix7XH95jVfs6PLQ0yHrZwT1sMn1Oww//t5lfu3zhhdPNFnrGda6isVVzfx0g5lWjZnWFK16zEIjZvv1EYGX4OkEpVKkcMGExV1Ucaw4u6iJE0WcKKJYMYqzx0gyiiWjSDKMJKNIuAA1Eowi60AdO8aOcmDHNmNwGMaCfgTdkWA1lvRig5dEdGPDcyd7fOqhISdP7q+/4vL4E7I+NI8eaX7uA//qE+mnf/X7//4D/Af/w5/yln85q958zYH3v/v6nb+/cepQuHEq4Pr6KqPEsmk+RauUWjAiTXKAg1S5U2LxlMXTCk9bvEjie8KdBE8w8hVR7IAex5YoSZ0rklTuKSSpJU0NqcHpbUMBbrdigJbgeRBoQRgI6oGkUVdM1SUzU4J1swnbN/RpNtb43MMR9z8/y9pSi2u2KbZv9Lh065BUrHH7E3UanmZhRtGsD3n+ALx0UHP1Vkt/pLj20phrLracPpWyuOozGNZ5+41dHnxuwL4TikZNEvgtrr7I8J++f5n7XhzwxfvmWe5Ytq9LWW1rpluKqYZHs+7RqFnCwBD4hkCnaOWklpQZwVhcwsoIEiNJUkGSCOJEEiWCOHZBfZRAFAui2BJFlAFkhThGcX7PXJpYuMA1FqzFknZkMfGI1ETsPSj5nc9o7ngqphak7Lp3d/jeNy394a/+4MI/uv6m1mfi//3XU3/dv/j7DXBLLDdOnfzQ5+9Z/h9/ecfZ8O03CNJkiLE+dz8dMN9KOXKyxwffOKDVssieW2KVSl0QqVN8rfFiTaAVQ88xzciTRL4gytwWFzBCFEvnICSl7ZekhjR17kJqM6ckc0uEEEgJSjrZ42tB4EvCQNKoCVp1y3TTsH52xMJMl8Su8ekHJR//yhzrwpBrtgm2bfS4YJNh+8ZVPveoZWUl5PINipkWNOsxZw5Lzq4G+BfCKBYsTEmmp2HfIctqx3B6KeTSC0Le+MouX3ogZK4Jge+j5DRXXyz44XeexZNn+cuHZnjpRMj6Tsy66YSphqJZU9RrklqgCXwIPNDaOUxSOJ+6ADnuwk4NpKkgScmADnFqiRKI49SRQmyI8sfYZLZj7so4cA8SwTAWGbgFvdiQDEdMBW2+8y0rvPf1PRaalsu2nyI2S5jE8vqr94UXzV/5O9HpCzTC+1Mcz/z9BPiv/c7nSRLz/Z+796X/umv38dYw3cQjL0SQJu6IKwNJwoM765xaXeWfv6/PdCshCOp0eilap3jac/coJfI0fuSkSRS7VLpjHOGYKGOlJIE4hTR1ToIxLuAyxuY9nBm4HcBd4CrwtANIGEA9NDRrCdPNhIXpAfMzazy8O+IP76yx59A0F0x5XLwBtmzw2bIeLtvWoZ90eHxXi5ryWJhRTDdhujliZirB9zVCuItrMPJZ6cSs9S3tXsLZVZ9tG5rcfPlZ7nyiz54TLepBjKd8hJji4s2K733zEjdcdpY/vLPJ4y9Ms9zTrGslTNcT6qGkFioCTxB4Es9zsYpSZPahyMjG9bAaQwH0JDXZ6pZZi4khSR24kxiixJb32LkywwzY/VjQTQTdBAaDBJsMmKt3+LH3rfCvv6dHqyExseKmKyKMjUkTTX/Yord2rNUfhL9uglf7x/Z+5uNbd7z/7x/A2+02Ssl/8j8+9uc/P1g6Mbd1RjFMJb0kZJhAZKyL8E3CWhTyXz/ps2v/Gt/6uh6vv67L+vmIbrfGYOTjez6B7zGKNIHv7L0c4HEsiRK37MZJ5mmnZNYfGXNLjKUEt0tSZswNWrmEie9ZQt9QCxOaYcJMa8TG+Q5n2n1+8wsetz85y8pqg0sWBNvWCTav89myTnDhpiHaX+OT92sOHmuwY71kpimZaqRIOeLEoiXQEinAWkEUa7av6/AEKZ2+YrVjObNSY8eWkPe9oc1nvuZz+EyAp2OE8DC2QZxIXnnhKtu/q8PtT/f549tneepwg80zgvlGSiNMCX1B4Al8z8UqWuECZymKmgyLu8iMxTktqQN8DvIkdZLOgR2i1NW6RHnyKBEMEugmkm4Mg9iQ9kdsme/w+uvX+LbX93jHDSmerLG66pMkmjRVJKkiTjyi2GMYafrD7lxjPvrIZa94n+p1O7/baP7t1JT/rQB8rd1Ge94/fuCBh37+0P5d69ZPWepDSz+yNGPBIBYMUximkmEaMFQe7cjnk/eG3Pdcl+sv7/Jdb+7zLTe1mZ/y6Q9DBiOfwPOIEo8o1kWglCSKOJUkiSROBUkiSVNBakSptY2gUCXWMbcUFEGspwy+Zwj8lFqQ0KyNmJ/uMYgHfO15y6funeLxF6aZ8T2u3mzZOCtZP+ezaUGyZX3ERZtXee7wgC88uMCU0ixMCVoNQase0+6nfOXRkKZvEcIBazDSvPvWEV9+zNXEtHuGs6uaLeuavOfVPR7f3WXXPp9GkKCkcCA3dYaR0/rf+8Y2Ozae5ZP3dXjkpWmOrtbY0BJMhZa6bwi1wfdAK4GS7kJ2TA55+ZHJpJox5QqXZEB3BAFxKojTDNipYJgI+omgm8IoMiRRRKPW4z1vXeW73tzh+stS1s9ohsMmna5HnHgkiSZO8/OlGUYeg6FmresxOHNg3cg+/vPX33CL6fY6H2s2vvEg/4YCvNNu0+31kEJ830MPPfzLd919z1y306ZVk0hh0dLiK0ugBaNEECWWYSoYpIK+8hn6muOdgJOP1Xns+T6fubrL+9/U5223rjE77RONAkYZC8SJJs6AnqSKJM0SNmkJcGMz5jZlTZkQNgsqXR2H1gbfSwn8mFoQ0awNSBlw99OSP7lnmhcOTSHigAtmLBunLfPTioVZnw3zkk0LMds2dDi22OW3vtggGdXYskUw3dS0GtCqxwgvojNoMN20CCGwFuJEMhsoEpPQjX26/ZTVjuLEYo0rL2ryI9+6xkf+NODIYgOt4uzC0CRJyDCSbJgLeOUlHa65qMeLR07wqXtr3PnUNCfbNRqBoulDw7P42uIp0NKl84UYr64zgDXuokuNILWuPCI1DtxR6pJEg1QwSGGQWJIkwcQj5sIBb3/TGh98U4fXXp0wXdNEiSs7juIM2ElJRFGiiSKVsbemN9CsdNqsPn7fOuCXr7z6huT06ZN/UAsbTH0D5yd+QwEeRwOmW41ve+65Z37j0Yfvb42GPcJQY0kxGXMqZdGxO/CRAj+BILXU8gOpfPqJ5uyoxl8+3uD+F/u86q4e/+I7ulyxrcO6aUWrrolinyhniAzkaQ5wIzFWYq2TBLYIKEGKPM1v0Doh8BM8FdEZxCx2Yv7b50IOnZ3h6V3TWOMzVxOsm7fMTwnmWoq5aY/1c5INcwmbF/rMTa9y+zOGp16a5potgpmmpFmXtOqGRi1CeCOCQKNdtYHLMqaSwUgzGMYkRtAdGLo9y0rH4/Ryi1su63HzlWt88q6Q2opCy9gB0mqS1CeKJYORx/x0yA0X97jhkh5PvP4kRxYlf3jnNGfX6hxfDvCVpOEJ/FyGSRd4FkSeSxUckydWkBiIjWCUUkhJ0gSSGKlGbJoZcM12dz5uvCKlVdMkSYN2N2AUO9YugT1pS0rnsY+0K9YygtXlDnfdfe/cMJa/8Yprr1vt9Qdf+EZi8hsG8N7qc9Sn16tnHv2TS47sP9RStGnWPcQgzYI7k2Upc93rQO4r8FMIEwhTS8MIBkrS1wGD1GM5qnHnU1M8/NKARjDiH72jzZa5hAs2Dbjlqi5auBYxIZxccVlJVyttbYW5sQhpUcJ55pYEZMKLhyRP7tZ86fEmLx5tEiV1mlqxULPMNiwzdet88JZmdkozNy3YMJuwaWHAxoVV7n9hxEe/tI6N05qFFrQailZD0Kwn1IIRD+91rOU1HKisFUSJJNSK63YMeOz5aVf4NEhZ63gsrQWcWZrhR955huNLyzz27AKeBESMAZJEE8Ueo0jSG2hmmiHTrQY37+jz+mv6fNdti+w+Zvjy4yGP766x92CDRGhGI0U/VighEUJMBJ5ZTsAaEmOxxuCJlCk/IiTm5ut7XLhxyJb5mA+/bUTNlzRqHlFUp931iPMVNfFIUpk5Wpo4VUWMFMeSUaSyxJFkOBKMRi4/sXx2mc/95T2tp184dslP/NPvVvc+tS+97YZvTD35NwTgf/Ll5/j5P9vuf9uN9/7AdLj8X2fCY0w3G07DJU4fG+MKgZzvbJ0tJ52dpRNIFHips6tCJaingpGBYeoxSD36aUi3m/LLn5zBJjHrF4ZcuW3I3FTC+984YNu6iDgWmd6WUGFuMv0ppUFIwWfvq/HcgQZCa46crHPiTJ2wppgKBNMNSys0tEJo1gRTdUWrqZhpauamYX46Yf3ckM3rOqR2jc8+2GLQa3DpFkurrmjWJc2aoRkmeF7E7Y+FjPoSb53rFs0lSqOmePurBjzwjKE3kvQGKZ2+Zq2rOb1c54oLm7z/tR2efrHOkZUmShogzvSyR5xmjBhJekNNu+fTrNVp1EZcsWXITZcNOXa2zeFTa2gvZedBzWfurSOUcuAWcvwkWgMYsJY4Stm+PuGDbxww30q5bLtl/RykiccoapIkHqsdjyRWxKnO4iDH1EmiinPu3hNEicq8dlnYuu5OlvK3vHT0LP781v/6+Av39t/wypmPW/tAJMTr/m4APBm+wOXrDu3YvX/fb24O75JTjU2oLMBRSuBpmVXqGZfEEaBSV2etU8fkcWrxUqcB49QSGusuEGOJUsHISEapJDIesYHFXot7nzNYUv7i8RghUneSrDtJkJklzgtECIUQEqkUSayRRuNpSTOACxcsDc9QDwz1AOqBoFGTNGtODk01JTMtmJtKWJgZsWmhS8oq/+3PQx56fh0Xz8FMPWPvuqRZS6jXIhr1AbVanUBJlMw0OE4OxLHHcCAYjFK6I0VvaOgOjGuZa/gcPzPFa64c8eMfOMOvfEZzdC1ACIO1MSa1mSMhGY5cGWtzoGmEPvVaSD2oEwYxzVrEKy+N8L2YGy9N+PCb+miVZEkggxB2XJRnks4YiRCSwFOAz3CkWV51bkjuiOT3NJEuyE8VSVa4luTvJYI4lUSxex4lec6CrBw6t24Faz3DHffdIW+77obfPDu9/cHVzuCFbwQ2/18D/Cd/+dPsObau1l7d+d7e2pPiwvmQC+Y8egNn07mspEuvWysRwmXZVCqIpUVlEbtOXe9jklXBpUa453lkb5w+dHdBZCSJlaRGE5uANLO9qrciSylAC+EylQrCmiXUllClBB4EGkLfUgsENV9Sr0nqoXYAbwimm4bZVsLc9Ih1sz02rVvmo18y/PGd69k6rZhvGloNRbOuaNShXktp1mJOLRsOnAoIfVdbA3mln2AYaS7cYNgwP6Qz9BkMbcbikrWuplkLadan+fCbznLw1Gl+5wub0VJjMaQmJTGWONGMIsUgckVR/VBSH2pqgUctSGl3XYzheymeTvG8FC1do4SULp0vsrsrXRGAyEAuaJusytK4uCZNJcZIElPGO0kqiuA+f1485rmJNAc4Wa7CWbngEmz1UHH5dsuWjSmnjz8qFtfF773yimsOrBz9vcHsth/85gL8VRcF/pml4z/1/MGVn9p7eFrurc9y1XbNujkLmQaWUqCUxMdkyRWZpeHJDoYtPGtnVzlPNs2zbsaVfxZp9qxSznm5ogiUqpobyDJ5LrDS0qAr2t9TAk9b5xtrQRhIQl9SCxS1UNGsSZp1y1QjZbqZMNsaMT/TZ9v6ZR7fO+KT921iJgxY3zS06sKBuyZphIZGmNCsj3h8D+zcXeeSBZvp3jJtPhgpbrzMcum2AU+8ME1/ZBkMU3oDnYHcox7WqIXTfOfrVti59yyP7doAVmFM6sphE0sS26KeZDDS1IeWWqgIfUPgewR+SqBNljRzJcZKGbcFi3SlwQiLoNRzZXDuSohN7kiZ3H6tWLGZa5UY4RyY/HWan1uRrcqu5j4Ht8nyl1pLpluSyy9UXH3xAs16Xw47vf/jiWf6vmXjzwHRNw3g/X5fDgaDn/29j//R/6KHp/yrNinCQKKUK9LxlJMHSgJaOh9WuAObyqyQKi0ZOzUWU3me5hk3m2feLCbLxOXJCmstlcz72Iqbp6rzhI6SWcZSUSnactm/wFeEgaIWCOo1QbNmadVTphoJ080Rc1MDNi2s8tieAT/7++s5enyai+YN03Vo1RSNmqIRQiNMqYUxvjekPXQVkZ6ySFl+stQ4hosTn1Ytpp8Y+lmddX+Y0u1L2jVFvRsQBk0u2BDzn36gzX/4hOTRXeuxKIw1pKkhSROixBDFimGkGASS2kgR+pLAtwS+ItAGz3N+v1bWAVy586AymSKEHW/QzVL7NiMRm9WypBngU1M+OmKS2aPIAJ9ZjhWwp9lqnROZtZnhoAVxqjh0skEtqBHFPb85s/Jv3/aud3jD4eDfhWHtb5zO/xsDvN/vYG38c088/vBPrCydCjevr5EaFzx62tVwC5mN4VEiA5sswG2UdSBOLTpn6NS6YDRjbVN4tGCNdV3kWQlo9c4EwDPZnQWWTqK4mnJnl+lMMnlaEvhuAFAYuJEMtcDSCA3NekqrHjPVjJhtDdi0sMZju/v8h4/Ps+foLNtnncPSrEkadenYu2aphyn1MCZOI/7oriZSKTxpya71AjBuKff43reucsdTEd0ooJ8BvDdQdHuKdqAJ/YDAa3HZ1oT//IPL/PuPCx55YT3GSlLj0upx4grNRpFhFLpy1yAQhJ4g8F1m09e2yNhqZbJitmyFkxWAlylPICMRXC7BuS1ZIG8ok2kWTJFcowB4moqxlbl4LMom3O8zBgYjSI1CCUWSao4vHg/rDzz4r177uteLdrvz01NTf7Mk0N8Y4MePHcIae/PBfTtrvk6QTY0xri3YtZUxVs1mpUAZQWotqbKY1AHcqIyZ0+z9olaibL9yQBeujiIHdX7gJz5XDvC8BiP/HDl7a53XnUg8T7r6DV8QBm7mST1IadQcuFuNiOnWgIXpNo/v7vOzH5vlxSPzbJkRzDUq0iTUNEJXv1ILE2pBhOeNOLE8g6dci52z5cogM00lSaLYOGNJkphOHLpOmZFhMEzpDiW1viL0PXwvxNNTXL4l4T//40V+5vfgsZfWkRrpAJ5a4iTNmNwwCgxhJBn6qpBgngeedhLN1alYtCSTKSCyx/Ng3MkVsqQQokgOmSw5lGeL07SSNEpLkirBXTmnuT+JwBhLkgpGkfvdqYFRNODhR5+sbdq89WYx6fj8bQP8/nvvYjhM6vffd5c/6HWo10RRjlkArUgNl0xrilJVgZGW1FKyts7BXJUhtjgYNpcj+fOX+WxSlEVUUuY9nCJLW8usUSKXJxB6EPiGWmipBU4/12sxrXrEdGPA/Eybp/YN+fe/O8PzRxbYNK1YaBimaoJmKKmHinpNUAvdxeFS/RGP7RL0hj6hIrvInAbPmxBSI4gTTSNU3HJVl8dfbNGPnUwZjFL6A0U3UAS+wvf8TD9Pc8VWwy/80Fl+8rfhkV3riI0kNiZrli57MEe+JPCNY2+vrKPXKr+TyZRSxsksy3s+kOdJIZsDPAN8WjgvjK+82Z/lVZz5eUyz5zYDeO50VefsOyvUErXb3H7HV/23vuWt9dvvuKP/9re97W8f4CdPHGXd+s3T9979hd8Sdvg6JVMCzwV+1uT1HuNJhOLqzzNn1ZpsJc7P2hVAmwLYZVNwfnCKkyFcQZGQGbiFKMDtAJ5blo7JfA/XCeRnBVZBSi2TF83aiKnmgJlmh2f3j/j3vzvDzsPr2DCtWagbpmrQCAWNmqJec9ujOPZOCYOEZn3I/Tt91tohMzNlmjw/JibTqXGqWDeneNMretz/pHFdNFlvowO5JPQkoafxtI/WNaQ0XLHV8vM/dJaf/G3LI3vWERtNnFUAurJXx+RBLIvqQl9LtM6KsKRA6fzYUHy+/CLMpYrIq9Kq53LibiqPxlQei5XXlqDOz28FK3bC+aqeb4Flrd1/3f4Dh3/vA9/x7T965MiRte3bt//tAnzUP8GpY2d/Muod+lAgF6k1vUI6GCsqH1CUV33+mEmNqr4eey//+6YK7pdh7uzA5Bm5QnvLvIKu1N15xaBWuPoMbfE811gc+obQT6mFCfUwphGOaNaHzE61eXrviJ/67XmePbieddMe6+opU3WbgTtj71BSCxz7h0FCPYhIzIhuFCCUxMsZvNDgImOyzC+OPRr+0JULRCEzOciHKX3fMXjgSzyt8XS+Aa3l6gssH/nRM/yb/2F4ZPd6YqMZpYIoNRmLC8LYEHgW33O9qzqLO7QSWZ5CZscn68rPHyuFWdVVOAc6E+AuznmFmHJwj63IFQIriK96biv/lsn05/KBM6AOfGjTlp0H4jj+mb9VBrd2L7Bl+8HnPnpN0zvA+jmbGfZZBJ1bSqY8kSa3nMz5rvLS5iuXuzIQK790mZUsL3hbsnY1qMyX26xDR2XBlGt5c8D2tS2qB0MvzXRzTC0cMdPqM9Xo8tiuhJ/+6DzPHFzPwpRmoZYyFVqaGbhrobMTc3DXgpTQT2g1InYdttz3dANfSjxlsiCuXIPzwDlOFYnRvOGVMZdc1OPA0RoLdYom3uEopT/MWFgrtPaKLichLFdth1/44SV+5rcND764wDCuuWRYYqlnNdyBhwO5zlcvU/S2SpUWK5wzBUQRu1Ql5qReKUFuxwFeWWlLgFMSYH4BGCZW6AqwC6njXLRhJHhs5wnayRPX/My/+eHtDz17/MhrrtvyjQf4HY+e4C8fmr9g+9Q9vzrNkW+bbS0iRZPhyA3qSbKa7MJCyli5aJcq2Nlm3ur40lbaUZXIveqSnOOWZMw9CW5hkSq3BR0YtMpYW1t8bfA8Q+AZAj8h9BPCIKIejpid6rPa7fPAC/ALf7KB5/bPM5+Be7pmadYEjVAUXrlzXoxjb98BvBaMiNKU4SAkVO4ik6Ky9JNrVpEFmtppeT1iFFlXSlwA3OD7Kb6n8TzppgpIrwA4Aq69UPALP7rKL/9pwiO75zjZbjFsSKZTSzOxhNnEgcCzmfefOym2YO9cquQALz5v9qGrOC8UYnZSzsfEZoLJJ5nZmsrzgvTsmG5Psg6jYSw5uTYkmF/8tt277kzfeMu1/8ravYeF2PGNBXivfRjk0k17zr743h0zzzDfmiM1I7SyRJEiSlRWalkpVzV5oqAEdf66ZGnrbKcxrX0uwPNDXFWF+Ulw4x5y9raZPLGV4UCuLNbTJhszkRbgDvwM3LM9FlcH/Pwf1fnCowss9WZYmJIshBm4Q6e761lgWQsk9cBmDO60dxhEQMQ9z/qsxj5zAWP12IjxFSpNXfNDK9C88fo+j+2J6MYBU0XHusEfuVp1XzuAa+UasoV0CRosXL5V8iv/osOXHxvwcx9bz/GlGQbTmmlf0EwM9QSC2I1e9pUbaOTlgWbheJWP1UC9emEKUfSKFOcHzpUZJjuBrkqxyvJUzn3FeLBlTbrrMoIode19g1jQjjyefPElDh+uvbdzeeuP1jr9w99wBt+k/hxjNeHsKeanPJRwdphrHNDo2BAXKVsH8mpiwBZypAR6YfuZCRtqkrWrsiQ70Dmz5Onm3AVQOcCVqz/XWfbO01l/p5fiewmhHxP4Mc3aAK373L8z5fe+0uJLD60jMi3WtQTzoZMlzgLMfXKV3UXG3FX2jtF6xMMvTdOPNBvr+eeZZPAs0DSSOFGEnuLmKwYkxgF8EAvXtZ53ro+MCw51Nhsms/dElly3COanBR+6rUczOMnHvjLggZfmOB3X6IeSVmJpaOtArrM4RNksLrEZyPNjKMracQmSksUndxQspEo+ooISyEwQVtVgqLJ5NdeRpLl0c3Urw8Q1Mw8R9AZNfuNPj9Fqpf/yO77lTc8srfT3zc/+1SPh/kqAW7ubR+7/XWS46Zo5vfs/bKgfwBAQxTG1QGasadBSo8caDxxDmax4J/dNi6xYRV+PJRPGgF2xHqr2lbAT0iTPyrnP4oq8TFbznYFbuVqMwIvx/ZjQi6jXh/h+nz+5U/OLf7COA4uzeEHIhqZgNkhpBZZGAI2sw74WuGxnmCWEXP1Kmq0ETp4sdVJ6kY+vFL60RYBJ5avkcUea1WxEiUfNG7JhesBav8kgFtm4NRcreF6a2XwqszuVA/hY4OoqH7/ttT1uvHKRX/jDIX98+wIrSYN+4NHwJC3tanAC7cqU82YInSd9spVPFlKlTABVSWVcrFSBznlX4OJcFy7KpKOW1x65Xtq40j3USQRDY7AJPL5zmfsee+L1gb+8aXF5dd89Txzjja/a+v8O4FGccuvrf+KCJ3Y+/+n/648evfxDb4p59VUxSoVOMIisC15aZGJQiUKrvPEg1+RmAtxiHNy5v1okccR5fW73+6jYgbbU3TIfM2GQY8ydZiBP8LWTJIE/IvAGHD6T8DtfbvD5B+c4eGaGVt1jNoSZIKUZ2Cz1noNbZuCWRVIozLR34LsLp9UY8bmHNfuO1AizCVxFuxglyqtxSZpK4kRz+XZ4141dfu+rc/TqmlbsZo8EURY3KIPWrgzCaecc5F6FjdyqsG1e8tPf0+eaC4/z21+a5eDpKVaSGn1P01CCegZ0X1p34WQuU7H65cc1tw9x+rzMdNpzffKcmPLSCXtuLDWuuXNpIgppEhtBnLr2uEEG7n6SYuMBKh5w81Wr3HTx3cxOXfXRqYX3vIN0+a+UKl8X4L1BhO95fPW+R7b85d17L/69Lwo+98A2fvjdy/z4d3Rp1A0MbAEwKTWxNJkOV0UxTpW1x0EuKle7KFigOFgFbdsxHZgD2z3mv9sWQzldO1peYJS4zh2dEAQjfD2im0b85qd9PvblDZxYnsaoGrNTilnfMuUb6hlz14v0vczqVDJpknnnBbh9J9dGccS+4wG9KGAmyFycPOmUuxJ5FtZWalJiTauhuXBLhAqGdKMmA19Qiy2jHOA6zRI1yvnYMi8BPl/wqliY6vMj39bnvW84zce+3OF3PjvH0qDBQIeEWlHXgpqyBIl1bC7zGv2yvCHPcp7D5JxHrkw6LIwzeemUZAYDlUI6m5VJG0FkcH2fiWCUJtjRgPmwzY9/9wr/+F0jar4h8h+/OJwKtyxsfN1ha0cIEfzNAH769BlmppsLNa/26Xse3Oc16us42zb80icDkvQkP/GBHo0gX7SyMlipXW2wNE6aKEGaVaKdC+xq5VrB0ee52YodaAtgj8kTmVXJqdQBXLuBQr4XE/oRvhfRHkY8/JzkT+5s8dkH5ximTXzfZ84XTPuGhm+pB5a6X4I7DCRBIAkyaeISQ5kzkQHc91zm89ApywNP1Ylij6Bhzwkw81uR5s5KUaNY4XmaN93Y5ZN399hzvMEgzJoCPIufgBcbvMgUsxqdjJBlOQTlipgaSWIk9UCzfnrAv/nOPldsG/HHdzZ5ctcUi4MGQ+XjeZpQC2oSgnzAUm6vSuvyCYIKyMdrViaLs6qMXpzb8zG4negDNYLYZP2fBnqpIE4TiIYs1Nr8yw8s8y/en2CN22Wivbjf29J616cHvc4rkriz+Ddm8Iu2z8sXXtx708MPPjC1tRURCMkJpTjba/LLf7oOT6b8q+8cEvpZEJXkjOpOhDESk8oy0LQiGyUmxsBNBez5bazwx/XoOCYvUsqmKPd0F5ZFq9QBXKWFHNE6pt2LeegFwe9/tcWdT0+x0m4iayHNmmLas7R8Q92z1H1LzSdjbcfctUAS+orQF4Q+WYWeycBtCDynv5Uesfc4nGiHLrGS6dvxxElZP+McBpFpT0kUada3BJduHfD80YR+7DHKZnz7EQ58Ks0kiigaSuREnUYR62SrZ5y6+vAPvmnA2161ytee6fKJ21s8uavFcrdOW/r0fI2vBL4UBBLXwyndLnVKlBepElnZ73kY/BxKqgC+BLUYB3gG7sRm3VvGTVtITQrxiKbu8c/ev8L/+qERo2iK5bUWy2tNTi3WOLb6yNRFl8mb1m286Kt8neFBXxfgy4sngmbN/A8TnW4sTCsSY+hHhnai6K2FfOruJt//rh5b56LK6GGDlApjXH+kUbJwT2wmT/Ja4yqobfG/ym3MorJUC/SdLDGZ5jYombqB+LmbIWMWuwn3P6X5ykNNvvDAFGc7DUQY4jU9WhqmPNfJU/PIZAfUfJHdZVZymuluXxDk7J0DXCf4fkLoR1gbc8/TAUdO1ZifFXjSZDpWlI2+FbazY+WmisHIY/t6wZuu7/P5RyN6sccgFoSexU8ci49iW1mlVOFXI+SYTHF3WTYqGOe314IRH7xtwFtuXOYvHuzy5Yfq3P9ck7PtOgPhM/A12lNoIfCkwJMST9hMalkUoiINx+3Dc8g8O5emyuCIc8AdW4itkyaxsViTghlBMmT99JDvfnMfTwestt3o69VuyOJawMmDJxpzm5P/kZ46dQUw+BsB/OD+3fQHfdJ4QLOuqfdjfAVKCNCSpVXNky95bHld5Gq/IWPWEuD5gXZXrizlic27R85XOCXGA8oKsIXId3gwiAzgWqf4OiYMY4ajlD0n4PBJxafumuKrT7Y4u9oAL0S3POpK0vQsTW2oeZaaB6HnwB16biahKzOVlbvI/txmIDcFyH3PtacdOGl4/lAAnpct87aSohdjKKiyWlrUTLtxzldfOOLKLT12n6gzCAX1RBDElpEis/ZMxt65m5JbkKVWKXz2zIo0RmXTBzyGkUetNuL73z7i3besccdTPf7s7jqHT4bsPlEnWgtIAs1Qa6SSLp0P6OwxZ/JCulAG/5Mot1SkEzmwnSxJcd1ZqSUbp2fAJGBiMBHaRrzy6j5zM4Y4dhdpHCv62RYqy6t99u47QK1W+7orycsCfP/BY2I4HP7LL9/9mflBpGjWoVEz9CJDr5NCGnP2rOCJlzze9fohvo6zaVEaZVKMUZk9KAsby1YAnrdGwWQyJ8eCrWg+WzRKSGHc6AeZEgRukmqSppxehrvu1Rw4XuO+x2ucWK1x4GQDggBV14Ra0dCWhjbORfDc4PzQc+PaHIjzu8zuKgM4mebOwO2lBJ5jb3dhRRxahF2H63hy3B4sJAplPXhZm5NnfPOeRo8rtw+4dF2fFw4m9BOPZiwYafATNxNQVQAupUBIOcbkMG7BFTIo75tMFXHqMfJ8WrWI733riNde0+HEaod7nvA5eCzgjqfrnFwOSQceRmpiXyGkdCtF1pUvyTKeUMiWfNUtMD4pU4oL22YTtrK0pk3d3aRgY0gTAptw81UR6xZSTD9mfnpAt9+g05d0+oJ6TRH39s6/+23f+S+7a8c/0pzect7w7WUBfv8DD5Om6YcWF5caCzOChWnFRVsGTM0us+tYxMklw8HdoKVAaNA2RkiDTBKMVBlzKwdsZClNEJkNKCrUnQeXtvS5x5i7IkVUihekxKnl4DHB8wcVdz1e54VDPi8dqtEZBYyiADwf1fIIlKCuoK4NtYoPHOi8TiMvm3V14UEmS3xf4fsyuwBsqb291GUWPafzQz/GmogzK5KRDdBa4kuLrthsEwRegDy14/2OUeIh0CzMRkg1pBd79LVwTkdcFoxpZcYykDI3qQHyYUcIrJElk1cGI3mpKsZP9Ec+G2Yitq2PeeVFIwbRgH90qM0Lh33ueizk+UMhB4+GxImCQGGlAiFJZSUbVE3mTzQxj2W3LGQwz41xIGsWNxWQpymW1E0F1nDwZMLxswOeOzTk+d0JgXQxUmdttfHiC099SEn1kf9HDL5r552stXvqqWf3im0bBFMN13S7aSHmrbf00LUVji8aPn9XiPIsva4iwtV41Oop1rqxDWQd1iVzV2XJhLVgHaDJ5pd42oIwCGmJI0t/6Bj98HHJn94Z0I8Vz74Usv9YwFLPZ5T6oH1QHqql8KWgpqCuLKHCjTNTWeGRcqzte8IlParg9iR+JksCHwKfzDVxKXNPG3wvyTKiMbUw4uxqyl2PNGl3A2amBDrz4vOir/MFZPn5LQJCIxmNFPNzirfdMuSOJwccbTcYeNLJFA1eYvHi3LPOPHaZOruQ6qwTWfwOY3Xldzig+6ki1YrEc2Mf4thzVqoX0/BjXnt1ws1XjHjP64fsPSbZuctjECn++K46h057ICT9gSaNVF6+idX50jtxXoucUJHkGAO4SCzCZJsQWEOtkeLVUjxhSBLBf/uDJp+/s8aJM02MP8OGhmXrbMRUQxLFhlgcFFu27VCf+fztyfvf8/a/HsCFgJnp+m9uXWhfGzWHhIF1DQDNETNNyUxLctGWIc2a5Z/8x2k+dXcNKeH6HTEffPPQNQynsDBtuO6qmEboslhk7H3+AFwUw3nafcHO5zTLHUktlDy+y+OLD4YMY8UwVpw67WOEJrYeRnigNSLQaCnxlSCUljADdqAsgbKuBlxnnq8umdvP+zILcKusR1MU7O17Bt/PC7TSgr19P0apiHufUXz+0SbK185uG9PfL8/guReeprnjoRgOPd5964AvPNzhj++ZopeENDId7uU6PM6TMrboFhJCFgDLWr0rWr8CcJONdtCOyT2tSLRGJ6kDukpRyg3SnwkTbr0s4ZbLYqwY8f7b+gxjZ+f95YMBT+zyqQWCpY5i5ws+nb7MVNIEyKssloHcWmiEhuuui5ifTl1jRGr54JuHXLcjRko3nvkHf3aGZ3fXoNagVg8JhMWTht7IsLQW0x6uXHvhJY3fNJYf+Wsx+Fp3CR3OtdYO/+llW9YtqSgaohWEfkyjNkTKCLAMuoJP3xmy92hAd+TO5t7DIV+8p+m+SmqZmkm56dqYZs21pPEyLndxqWeuw1pP8eTzPp22QmrpZqJY7ZhJaNxcYA1SI6XEk8KBWVoCafClA4KvwFfljD4HclE2PGjXCJA3HlfB7Rg+K6v1cgZPK/eEQMdYG3FiyScahQRTEj9Le6usKm8si5l39EAlLqFg1tQoothjpqnYOh/hiyGDJGCQCGrajV3Ia0jyhJaS1fJWWfwu9zuy+MeYMntqTFYMV0qjJEmzvIHK9j9KiJMUFbtcglYpUiZsmTfZimG4YtuQyA6Q2tBuC558XrPWl67BfNzjPY855urEGyHcfG3E1IzBZmMk6lnSCeG2RPngWwfsPR7QN4aRNSyNFNYKekM3Y2d5GKvDp7uX/W8/+r7WcLDUCWvzXx/g/e4Sotf+yNLyk7dtmDtAmjQwRqB1Qi0c0az16Y1ifumPm/z3P5uiG3tu7w8hSYB2/m0kdNYEp+79awA7XzbykyMEJt9ygazmVKgyyJEys7JyUGdpZ0m2cWvuG1ceddZJr8i23qMAt2vrUvgZuH1NUWLqGDxjcW3ws+yo58UEQcyxJcMf3tEA7eNJUQaYhTwR5zB4NdOXDwktsr+pA/mH3zbgL+4f8NKZJr3Uo564TWldFaAtO3FUnhOoBHv5sSyUgKwUeOV3U9TCaK3wUjcvxcuArmSZNHN149lzYbLBQSlaWIRNma8bvuU1BkSayUxA5PtnVM//pJ8oIFXYbGcPAJtAJEBgqOuUH/vOLlYKfumPNO2BZsXUGCYKXymshWipwxUHd9528uT1H4ni5J/9lQzePvVFBMo30UHC5hr16RHGSgRuqtLaIOE3Pl3jNz8zzVrkO+Rk4CtmpFVuqUfFJsm/cFWjicrfy5/L4t8TUhYtaEqAJ9wVHmTTaj3pXmtJVlORdY/nhUSayhwUsp3Zyq76EuCykC2Bb4uWNt83lcE5CV7G3r6OkTLiyGnBYidEaE0gGZMnsvq1Jk53tamjqo+TVBElHnOtEds3DNh9esQg1QxTCFKBl1q8JNPhCYWzVKbQ1VinQi5/3aTdfBSHqEgjg04NqZIonW9frrJitRSpTLZSmNKazUAu8t+Nm5IlsmlZuUGQO2FFFej4NX5e3itGi2QDjqa8hH/+/i5JIviNPzO0hxH9UUAPhcDQ9DvsORDza79/p5+ac/M95wD89OILSCl4/OkRq72At702ph5a2j3BY894PLu/yVcebbA2CtxIKDEB8POA/LyMXflGolKSiRBIyhSxm0oFnrB4IgNtJgHy58V7GdmXpaAUDba+Eg7sY+CW7tHPgZ4Hnxm48+4fbQqJ4mmnT30/JiHmyw/XOLNYw5tS+NUajqqDMvmtx2qnxUQQqBiO3ATbd766x8PPDekkIX2tqSWGKEunK1kWROUFZ0IYys6hPNAczx46Z8s4/1m536mNIFECncpsFztXy5NkQC+TaaZIsElpKom37HlewluAu5rWt5XTb18eGZktLKRBGoMxmpaf8M/f1+XSLRHP7At4/JmQdl9SDw1veXWfQdJk35EXy9Xj5QD+B5+8neVB/TV/cvvdN95+r2G1P+DzD44ItKEfSXYd9okjDTUNYQ7s7D5WN1wWVZ77BcY7RPKMWJ40yBMJGgqrTWUpYzffpNS4Kge2dHMO81EIVWAXc1AUrh/xfADPA85cd+tclthMb4/XkvtejO9FnG4bnt5fA+2jM3miKwVKsjge4wfDZXArVXdFX6osPPE49rj+khFz0wPaq3X6iXL6NHHfRaXW3eMqwF2iraxwkOfW/BhbTKkyypAagWcEqZKkypAqQZKBvFq8lpdDyBzkFVDnJRMCx+olsKtsToXRq0diHCAu52GyiWSWVKYkqUfTT/jw2xI+eFuP3Uf6DCInJa+92NDuS46c1TduvvB9r/nVf/2uh7Zc/I6XYXBrSJLht6y1g+tW0gBCj2cOpO4sCOGKFMJMDyMLD1ZmJ1FlX0ZmV+hkiroQIRVWk9mXqgK8OnJNVUCeM5bOayOyGvC81NM1F+edKk6WqKJ7pQR23nzr2DvT3JpCb+eWoGPsEtxeUZ0YI4j50oMBD7/QRAYaXwo3f7uoICzb6MqKv8lspqg0geSeuCI1isHQ45arBrzrtV1+50tNojSgl0rC1DJKyFauatWfyeScmbigXo7JwWRDUY0RBbhTJVHKOEaXMhstYSqlyNUaIFuCfCzbnDP5+UDOubJFlM9FPkouw5HIdH+c+AxHTjZdvi1FSos1gn5fEQ08mmF4XbcTfQuWh87L4P3OUTy/9bYzh7/0PV+8Zx9KClIRQt0WjCwrWliSdatPgrNypY6VuJ4P5NmbMjsIsgIKmV8sAqqjDXLmdp1E+WsyBqdowxpj8awbxlPj4HbjFCaYO+vZ9LP2Nk/nDQdJ5R4TEfNn97RIbYAqspfVALPsa8ydjTENTjlqo2gKKWb7KdJUI/D44Bv7/NGXR6yZmEEaMkgFXkLB4lJaZCKKojNnF05qUVmxJkUF5IJUO0fDgduQaosyTq6kyqJSVzjnsseyKE0uLcpqdWdZxpzvpFFiIU/nj0/QGgN49WIoAG7HfocUbqyG+xnnImkv5v4nj7KYdL7nBz/4hvv2HTx+x6UXbRkHuBd20VpcIvWxi3uDY6TmApQnXVVcpf5AYQsZITk3FT0GalvWk0xKk+r8DQdoO8Z6cuL5pObMQV+d7aGUKLV4VnE3NuwmA7ZWonRSCjvQddy7xmSbMXcZYOoKewdexNP7JftOhljloaTEl2bsOOXNu+cNSyr5jqKFz4iKX+1AHiceF2+KufKiHo/urRErn0EiCCV4qUUnIpNvWRdOkulwnCkw/itFhcVFRRqVc2rymZBamQzcWTubshVw57VANisTyJmcYvWoArwAbaVeRYgqe09cBDnQKz87eRFVX3vaFdeNRoc4tXb84pNLo0s6vdEd5zD4Q0+v0azH/MlfKr74+AKBF9D0XJJEnUdTigpLVx+rLE3lvRLg9py/Iyb+7Rzcqqj5Lm23UrII1z0vSnC7IFMU3eK6ALccA3h1+I/rtqcAdpGtLJg7xdcuseO6gmIsMZ+5p87ycg0RaOe7Vy/CCWlSAG3MBy/7E6t13IU3bRRxrJmflXzgTV2e3t9ilIb0lU8tdVo8L2dVkgzc+VphMk88L8zNpMqEHh9rBh+b5CtRptyIN3/ugCzHtHi+7boDnRxjcHkeiTIJ7mrwOf785VeCoulFGuJUYRG886YRt+lTzLeOs1DvnStRfuLnb0dJyamlDr6cYT6wY0VD52PoapAwOfJrcsOjMfCfh/XLK59zQFJOXiqbYqszBwuAFyyeyxWJ0uMA93U2AMjLtw7MMpza4hWpeJM9T8fuWrnOnZeOwKfvbDKSPkqqLHs5fiFOZjAnA+5q59K4Ds+0eOqGUAap5gNvHfL7X+3z3MEasfLoS4mfmsw9EsjUVo6Pde1louo/m+x3je9bVGXy1IAuLEQ39VdlJQEqteWwzmwircgblQUkE3q8BGeVDMdZeRwT54L8nJ89h+3dnylpiCK3A9+ctx+59nvISnm4Bjhy9ATbtm6q//Of/u8XPtFfZoAbDjM+xmv89rKvzwP0KrDHLo6Kg3LufJPqc1EAZ3Icsqwwdh5k5lObtM43ec20t5oAd56+9/LGZONmhhQtYnlPZ5LdY5QXse+Ephv5oHQmT+xEeey5K9RklV11Bvd4EsZ145SJH03DE1y2echz+yJSEzAwPmHqarZ1psGVcBu5usRSTjyGPCoqmbys6sxnlOhiwoF7TxlIpQO8ynankKacEJBP10rz7v7CACiDyyLwnDjfOWjPB9hxQNnzEiTnvJf/fR/VDWjMXHrhjlf+RH1t9f/oT89sdAA/ceI0a2vtt1576fxP7n3peZpalC3/TPbbnec3VX1NMfF0krkrH06Q5XQ4H7jFGIPLIsisDtXMQU5ZI60qoC6eZ0keReaFO3A7AJdDgbyqPKmyt8r6Ov2Ila7h//fnTZYHISLwnDyRdmxVKQfnnOfEVY9afnyzsRq26qZkqfsk0bTqmh97X5evPd1ieeQTSc1ASvysh7Ic+ZAH7JV6emHIy2gtJgO3cRWeY86KyBjcFkF6DnYlRcbgThKlhYuSgTofw5xLh6r+rrDtmPQ4B7jln4+52aL84+pxo9JLYLPG5TgWbK5v/ckTx/Y9lMSDv4CMwV/avZsw8Dlz6hit0ID0iJJsXnclKeHAXg69/LoZ+MoHnNTn+Xt5r2IpgUSpwStsWJUmeYdMAWwpkKocP6YqoNZSojNJoguA55rbFEGlp00Bbk/n9Rfj7O2pGN+P+NQ9Hi8eqIH0kFIS5KWxojzJxR7x2Rd/2WpCGE/4VNrNTMbkbpMnj6sv7vNtr+3w+18NMTpgIH0CKYqkj5KCONe9nMvkosrk+Tjkyi4O1oJRoKxbFYwVDtz5lDADaTE/RZQAr8wXd99fZM5HRXLmAKdczcakyDmo/isIoTqVweQ7SEi6vYRYnaQ39EkStzGEBphpBQRBwMxUwFTTdcPrmGKriWIEW17SWwH7GIlPOgVjGlRUvpBFUp74SYlSBpY54EUhS/5qgMsS4EWiJwe4dXOyMyniqdIt8SrDgUrN7djb025q1Wrb8Jf3NllquxyBkhJfVIKxl5EoiIkKSls5YZO2XW4Z5v2sqduSb6al+Nbb+nzh4SHLvYBIaQapzOIkkbk3omzGlmVQnwPb2rLrxxRsXs6P1LmzorLnMnstIVUUx70KciFFpfs+P18TDH5OL2dpPY+z+PlBXYJ7vEk9zcCdJIIolqx1LH5TM5X6xIn7i/rggQNMTU1fsHPnMz/eXl2i2fAZRc5uilNRDqovDkR+gGBsfslE69k52r3qKIhzh2ZWJUkB6ozJlaCYm1d0lFdmf1c7XNxwd8bBne9skDO3qjD3OQyej5soR05o5TKXhw4L9h4JMQQIqYvm3LJ6cFxila5GeRartSjjJ66asi8dFWNcsInVXL494uKNQ5Z317Cp71g8dTJFV1yc0p6rFnrlDQayLH+yGZvb0ic3UhTWYTW2UcZdNEaSae/8vJRkJCtgHvfDxYRUEX+lvq7WqlRBXR09kVpBmgiiVDKKBMPY49iJM2zZdtmP33zzTc8ePnjgsA79BCWHG6YaydukXSHwPUyaYD33IVOZM8uEXMlndVeAPVlAU/3g5wSbQlSkyQTI5bgOlwVzjwO7eFRko4CrPnj1nm1prargroA826/ey0pDc/ZW2WutY5SK+fKjTfYt1cAv5YlXsS7HLljOHRdxPnaqTvgqJEN1d7O8jDbSXDQf8c5b+jzxUh2MR5I6Le6lWXY3HZdKJXPmy2tuG8rs/Iky2Myfy+y5zFYVmd/dsU+zFUOKjNUN5cpRxB+2cpHb4jhMavFxbOQ9Xfn/xIRaqEwozgGeBeZxtoNbaiRHDy+y44robaud4YZuPz6sG7Ue9ZqgHnaw9InjaUTmRgjhDpoxoConwxQHp/IBvg6LV4FdZfYy0zeutcdYPB9oPwHsgs2VqDThVsCdzScst+3gXGDrckBQMeJNmwzkiZMnKqZWj3h0j+Iv7m0wGPpQ12gp8MS4NJn8/JPxx/lYakx/T1iGVV88TjRTTc173jDkqw/3eXyPj214DNIAX1BcaKr4/aU8KMFdgrzqUbjgM7vAlGPzVDo9biqsnQf1JgsupRGVnSFEJdA91zwoL/xqbFBd5cXYMYG8MX18aNDY9ik5yLOuN98TSG3oxxHdYUR3FKF3HVK0WpInX9Ls3CtYN5uS722Tg66c5V0OrS8DTzu23E7ezmXxynJVHITxiaZlcCkK0BTz8lRl9wYlstqUEtwlyPOyWYvW5QhlnW3CpNU40L2Crd1dKRdg+n5EHKV89ZE6Lx2tg+chpMpAlSfB7PiJrWrwynevGgYFa2fHz1YymQ7kstDiuV0YRZortiW8/dU9dh6uMUp8UukxMAo/ZeKz5F44EwzuHu3EZ0HlIDIYJVC5JJACq0DaUo8XK6oEaSqzDE1FohRj3ypB5xigv86FX7h21RnxjCWlxvYHyqSyVpbrd0hecbFgy7xh1LDoP//8V1FK0et2aNWDQk8hy9HGRmaPlfnOxaDz6nD6KjVNsPeYTBFlGtst5RXWzgPLsQCz3IGglCYVq7Bg7Bzg5eTUQqJkzO0Y2xZMrYvH8rmXBZdaxQR+xAtHBHc8XKc/8KHhIUVeOUjFHjxPFrOyQlWPRF6L4tAlGB8kP5HwqRRgRbFHsxnx9ltHfOH+ITsPBqB9hkbiZ1pcGVApFZkAIsX5ykK4OQ1V20KVANKKUrpIx+b5qpIH+cY6sEtTJtqEKd2U4lyaSrBpxm3T8XzI1wF4dROFzEbN90ctmkWy1+A+3ygO2LPrBY4fPUSapuiG13FAqSVI4yOkqFzZ1V3PKiwuq1dVhbnHJIo7kOcEmcWXqwYeolgtSt0tKsueKDW4Gs9mKpVVGGYVha6dK3uuq/PBJ8Cd3b18Cm1W4K9V4u46xvNiEpvypYdqPPBCzZUIS9fQ7FVKeMfKGKr36ouXOZHjFqwodiPPHZXUyDGgj4Yer7+6zztf0+fFIyFJ4mGFYiA0XkrxmURasnj5Ec7P5FULWKnMMpSOzd1rgTSi0OGF358zer7aZgxesPdkPqDwxSuO2ssdl8rqMr4LiBjDY+7wAcTAYChp93tIOcRi0etmXXDWG2RjHkz5j5fb+JV7raSmuhGrQI4Fm+co8OxZydZMgLpguTGbSVT22hETUqWapq/csx0LSqBX7rrcBDUHtFcBde6cOMfEPSoV43sxzx6WfPqeJuCD9BBCFV1EKktbV7Ou1e9TqksxAbCSDMZ0eHWGuhWYVBSTwcp94jXWaj74xgF3PTLkyQNukkBsFP1UZAVfGejS3I6rJFYmCMha61i8CnRH7BnYLEZm+/kUbFrJLNvsd9lK3GQqTo4sAS7FOLDFX3HhQ1UWiwLQ+TzxfK+nckMrsl2z0ywfadEnzibZP+pKDz2dCfvKP+Q2+XQAF6nFCEu5D8vksnIuxovTnL2W4usBXJQAlyWbVwutxkCetaaVm03ZDOz5APwS3GOsXXnMG2tzqaJUguclxGnCfY/XeH5/DTwPpAsufWErk2OrgdW41TlO3uPQspUnRQNEpUZkrLowdSPwXCmtZhR5XHXxkNff5Fh8kDoWHwmfoQGdijLwS3O70LkXpURxH8AFcnYiuAMrwSqLtAJlHT6sFQgrsAKkFWNSReSPk1apKY+HLLKr/08AXsoQk++3WX1e3ZYwu83PuD2UjLHovBpLiYRAp/i++6Fy805BkllQafZh09Qtp0JY5Nhycp5PXPkyVSYXEyDP2XoM6NX6E0Gx9065e3EG7LGGh3LrEqUmwF0Zil+4JypF6QrAM4ni65h9pwSf+GqTUexB3cvkCUVrmqruElx1TsaWqjFsV87ihPtUkSnlli7lBgLjWlzTCCTf9/Y+X3qgwZ4T7uJLjaKfKldlmGbJH4STBmk2lmNiJclX3SrAZWEDuzofa10waaXbqMpK4QBusnNmSslSJunOTdyZifM/cd2PHZucOCc3LUuNG/lmUuvYOjUF+UK+Y5zE9zRJalF/8vv/df36Of1LvbXjl4eBm/akdbX+oxzPlX+ecbejLOwv5UTlLkTxS6UUWS2JQEqZWXv5OODsUckxy2/yno9MqHrcxaMudbdzUMbBXd2rpyymynZ/0HHRzODpiFRG/P4X6/zRHdMQBKBClNLUlaWmbDaOgqLB2au0xpWZ1GoiSlJOhmUsQC1jidJ2zC9aIckaf8teSCUtwhq2bog4sSR56nmfRLhOKyMUQrhS2vE4Z0Iq5mfTjq+y1VWluBBtxaOmdM6qEqu8QMpdOsoNDcqfGRuKP/Fzk3FdOhH75aSbpJY4NcSJJY4Ncey2Toxjwyg2dLop2y66ZsMVV99ytx52D043/aV3bF7okKSBS3tm9zguQey+e37VC4S1GHD7IE343+eQ+KQ9WL0ozmFyxpl7rA7cjmlvWYChlCSqor1VsdNDZSMqZSckSV4pmLN3jKdj9p6UfPJrddz8FcfeRed+/vsFY+OF89a9yUBTVF9M5A7KgqFqbUhphbnAM8tqWolJFanKtHiq+c439fn8fXV2HfdARlghGaYeGlHWhggQaXaG0jzxk0O1Ip2se22xpQYvGD3T29bJllx3S+t+hzWZP55pcjMmQSdKrsdW9fMSeMHiY+OWM3AniSGu3KPYVVLGqSsv6fV7zG9sv2MQH53WNb+DqHfZONdjGFuGkWI4UgxGioGQpT40ZZZLYYttu8ci3vOtOiI39/MvNa69xwK0iUSBGgP7+D4ypQYvtwrMd1ZTE+B2E1lN9ujsQKUMKve7VYKSCSqTJ6lK+OJDDXbtK7W3FNJ530UHzcTJq+ju8dfinGNix56PNyCPeeKViVTaCFebIssUfhRrrrhkxLtf0+PAJwOiVIHQpEIzEAKdZvYdeaCbOyoVm9DRVXEuc11eShQnTay1mRbP7sKWKX4BRjrgG3NusZwQAjNhE1Z9cSZwM57BLKWJMzucJEmKDW9ttiOdzfArWOnCqdUYEUToMBih6LN+fpVhlNLph3T7PlJaQBfVWjItdZYVTtchskQFolzt7IShP7FM5oCvBiRjj2NZwXHWzl8rSVGAr2TJ3AXQVZXJS92t8iAy3+JEGrQsh+YrleJ5MQdPKf7751oMpUc+Qavsms9WkGoNtKgytRg/Wy9zG1++Mzcjz9bZSm1KJXVfrU9JjSZJPYI04Z+9t8ef31fnwEkNKgajiYXHQAhUmh/bvMCtcoLGmDy72ACdX3DZe9K69LzFZqyde+JmjM1t9nuMdH8nZ/FJd+mcpM/LMfk5kiW3rA1pxuSjbG5lb2TpDAWrQ8lSF66MLDPGoD95r6bdFjTp84HbYnw9jZLui6dGEiUSFYtzr7jsKsWKfLvGCRBXlqGKPTR2dVeu5klpIiZYO0+k5JLEgd6UEkWOM7ge87czMI/53ZW7dCzu6YhOZPidL7Q4cTYApTNrUGbyZLx9r3heZaUxphIvuwxX2bxk73JrxRLc+RIti3vRDCEVaaLZvDDih76tyy98wqcdu4DAWsnIKGcbpvnnsJBWbcMS5OX/3Z+oDGHWUjC3yjObGbtLaQvHxdgKKWXv5d/d5MaBtOccmxwXBbQqND62qk0Ew8a6HdlGkaU3tKwOJGf6gu4w4ltffZIPf8s61s1J9NnFKfYdiXnwqU0E4Vm+4zWrLhgwgihW9AZqTAflkXaxzE0CmnFAjy1JE3c5Ce4KsMeZ/FzWzhtfc/+7YHJtMkY3hTRxcsRUpErO2EnxqFWMDmI++6WAj36mxch4Tp4IVciToqm48tkmLcGy3qIK6/NDfDxBVsloFicyT9m7pTnPbhYpfOO2Ag91wo+8v8feIz4f+6LT4qBIhWRoXMApUwoGLwuwcnSVGYyqXelAnUmVHNTWXeQFuwr3M0KIilzJffG8stBihbMYSyavDAWqSrnzHKpC+opKXIGTLMMY2kPBmb7kTC/iQ68/zf/2vpSFDS2saqHfeJ3gsg1wYL/ma096fPity2zyoR46f/zMis8ohjjJ7cGKhixO7PiH+yuBnf3dc4FNUZVWDSodc2dbdFe3DFRV18FUpEoO5gqTy7I6sNDdxaObNbiyCn/+tTqroxzcDuCedNpbi3F5Mr7yiLHvNgZrMX6yqj5vNYYZq+rL9xI11VLaSp24lCijMEaTpJopP+W9b+7z+YfqLHcVyBiMIsbp8cnqwnEcvTyTuzxQmRTK61MU4ywu8+x2pl6rrG0LPNhxmVKRLeStZ9YB53z0IAWg3Lx537iZKYsdw+EVxUo3QdDhHa/qcnp5nicOzRDWW+iZ2S6INV5z3RlG6YCdBw1K9kiSlPYATiy26A9UpbmhZO7z7Rdf1VRjHTvnCcjGGHsM7OXrclxEpelVnitJyveq4E7HAsw8yMz3udEV9vbqCV+6N+Tx52uYivZ2TQ25PBmvNylqLSrsTeX7Va3w85N4xp7FMlzZ/dlO1GJUg04rUbb0xZPUQ5uEm6+OeNer+vzhl31QEQiJFYKR0Sgh3BYkeaApSlBPypXcGrTW2bU5sytZyihrMza17uK21jqpIsqsppU52MtGDJEdt2pslu8UV1rStnLgyhVRSrdPkFZuJw7fhxNrHbZ6Iy5YiFBqyFI7YvfhNoRrzM/V0Hc9oVle1QS+YfN0wk/88hwpDVQYsqmpmPISphrge67HUUpZ6GcqQGUSwJzHYRgLJqud4OUXHwsux4LMyjbdFYBLZdHZiDEpM8dE2kxXVyRJ7pjIikSRzj0JvJgDRyWf+FKT013f7Xct3aB3JSh3bDhPUHw+NhJVPH8dAT6W6Kkwe7UZuRps2moRVur2z3GPbvuT9Y2U739Xj4eeDzhwRoKIAYVBMhSysolUBqIM1GLsKrSVVdoWUinX4TnIckDnA4yKQiyROSrC/UwuR2xRZ5TJFVFmWK0V55CkyAq88uNXzWhr5bacuagpuPnalHUzHeqNLlbE/MkddTyp+fbXpczOJOi5RpO6GLKlOcOZbsIT+6YQco75liKZTrlgnQNE9mvQuG9xbrPCy4N5kq3PB+zivUowKcfY21YeqUgUc57naaG9cxbX+ThglaBkis5sQd+PGaWG3/pUiweerrksl3RzF6WUrmtHlPNXimaC/LMxcWImmLyKczEB7vEMZula5FJgvHy2Wkbr2s1M7qikhkRqVKJ5/SsjfviDHX72t3xGiXQZKCNJMldFGlH5bA7kY0MrrShMBrLAEplJlEJiZd31GdNL4f5eDmSZeekm790UZeY7Dz7HiNCeSxRSuEpVCcWw4RLclkZoaTUsF2yos2EuZW7G4vlr/MafNzh6ZIGbr55Cigb6tlf2SKM2ctRh3+MeXqPBtC/Z0kqZbbhppcZkDcjKYmXhl5QfSJ7LbOfafxZ5zs/aCvirG6dm4MmHDuVb8qkJeSJt8V4+LFLKieCykCXOLXEDJZOCwT0/4Z4nPT7/QJ1R5LnBopn2Lti7KpUmmHzS/qrq7zw+OW/NRSWWyYFdSoPKjsAqY3QzXiueGok0TqrkQE8STa2e8N7XD7jzgQF3PamcbYhDSCw0A0oHi9wbr8iVnJWratxmXF7UpcgsmylwbC6ylJEoJUz+O6ygZOyvC/RsG8rsdxtEYT0Wx1OMZ3+thdWuRogaqU1p1GLqgWXnEcMdT8NFW0Gfaa9xZnGVT3/FcPszG5jyQ9bVDQ3fEOhsy+jKGSldlFJnn9cNEaXUmKxPKFnQLZVVvV2VKsU4hGIWoS0dlDFrMJ+EaornBWvnd1WCW2fg9r2YtZ7lSw/V2XMqdNJEuJJYkWtvQWWClD0H3MV3pXKivr7wHse5zVFQ0eKTUmUi8TNZLy6lQpoUaTTxSLNjQ8y7Xtvj8V0+7ShLvxqnxyMU+T4QMgPUeENEueZYXHKnJPcM9EUzRKnN85pxI6zrBBJ5ljMLPLNqUHseRq8eT7IVIJdK1WNYjWsskKaSUaToDz28bg2s4d9+Z4erLzhKrC+g2dLoP757mqPHE+64fzOtRsiGumUqNNSDfEBO7hCUS1uVuSd97KI/sQregsXHA8pima+MIMiv0mLIo7BjQK8Gl7IAcAXkciKgzBM5VRdFuk55Q8offLnGRz/XxArtfO8x9qbU3mPW4LlArxaVleH3y2B8rHbjfF54Vaac28qWb89ojMGkEiOdL66kIU49pDL8yHv67D/p8dHPa+KkBLlBMBISZUQxKJWsIIsxYGUXXkWuFE35wpbdNjJL54tc7jjNkbO1yc+vFViZ92eWdmX+74lMYzshn8kc66xAIVz1YjXxk6YQxcIBXHlO21vBVFPxHa9dozYTo/wIXVceTU+zoSmZaxnqviX0BTUfQr8cXpmDPL+PVfkVDDzO2qq6DFWX+IKV7RjTV+ds5LKkmIl3PubO5uPlLsm4PKk0DY9ZgwlKxnh+zP7Tks/f16DX86CmzmXvoua7cmGKMsFTxCCc+7yQcH8tBq+AviJZqnNLjMnrPSpAlznQJUY6LS6lJo5Tmo2E97yhz1cfrLH/VHZy3LhUUiEYVD9pDm6bae1ck8s8u2nHa8RFJqVkpbBKlHrcZjFawdZZxlvmcqZy3t3FUYkDcrkkAePknzXOnSlqU4wgSSFKQI4kCI21EKeKUaQJPcms18A3NfRM06Pf0qxrWaabNtt1rNx9zM+msWo53vA7lnmsdnmcJ0kzmcQRleVeVNhbFayeB5TnMnleVVcOZq/o74LF0wq7u/1kChaXrsBqFBvufKzB156pueHg0iPfraLK3rkfr0QZMI3XnIw7AEXi669WJ1VCHwd65W5Mlj3MnZRsKxKnu00pU4wkFRKVSoxQxCPNm6+LePPNA459xWNksmU18/ISNCPhGouloZQpecSXyRVVLEO5PMn0b6a7ncLKdXj5vhGikCdSOmPcuSru+4j8AsjLefPjJSoxQFZnLoR7NFmDcSJBpCBigchGQyeJxyhWDIaK0IfGfAOPOvrqHdvWPIZfPb0p/HZJucFoUfJZzNUeL/c8H7jHRhyfA/ZxfX2+P8unlKoKqEstXg5iz2dTl86JOUeHV2tMdOaaSOU6daSfcP+TPr/48SlSq0vnRCqEkG4fIFGm5ccZvAJyeX72/mskMUtk5wx4jkyxY3LFkE+9yoqxxHk0uXTeuDCaJDH4fspP/UCHPcc19z8hMb7IIOu+QGwUgzFBlYFclnKl+kVKLzw73/nnzZI5+bgJa91xctulZixfsHYWhGZBSx6sFvJkYtXLQxmB2/a8PL65nBIkRhLFlsFIIoUi8APWp/NfXWhduKZ2XLKlFw9XDrTq6oeVSJ3frSWeJ7PB8TIbppPP+6vUZ4/VNNuiwyZ/rVSpp8uakcrrwt7LHBI1+f548ZS7m/K9icCykCZyPC1fJnRcr+XxFcEvfmKKh55puE15pGtHQ3poKahJCCTZJlf23NrtsXvWAF0MyRkfRpTXvEs10TBd0fXla1EpVZhYCSukIGR5kVUbLs7ZbcHC/FxCoC2PP+ezNpATS40spojLXFYVMuF8V6cYe+98UxRe/s9Lm1EULJ1fQ+X27ucLXgo855+9IIay2jJJJaNY0ulDd1jj0NG173925749esd21xzQ7koOn/AYjoy7kER50Mti/cpYhgp7l0Hguc5HNWkj8mxgrs2ruluMs3axi4AoNXhVcxcsPsbeObgnNXeSBZkJqZ/yiS9M8Rf3NrBhtr+QdPpbCDnWb6nPYe+XtwfH9sI8zzmvvl0keMaJvJQpMBZojnXc56PdpB3T4taaskZFKKQxpEIjBynvvW3ASwc9PvK7mihIxox6azxGuaYyeelslrHJU/TZp8xliKowb7ECVWWLyK3ByqpUGQzkriFbkTZ5LUsW4MqXWekw7hfljdEmn43uvo6x0Otb2v2IxLjdJ/Sju9oYawmUpK40Wud50/yEVkcUj3egVKeaFkx8voCxkhypJnBy/a2EmWCuqg6342BXpXNS1dmq8LhLvS0zzS0rtSd3PRHw8a80GKbZFHyR390mpkXNiZi4SHOGnLAHq8Qy9rpKhOdlw/ykZRZhvuQCYzYh9pwSWisrmU1ZcVaEckkgmTWQS0NqNIFn+IF39nhkp89dzzi7MPfGkQJjNSPj2tHKiqkJmVJJAJX+d/m66qhYkdmFUuTT4YoaFaTNWNz9fZuxuRR5YFk5Djm4s4yme22y7GnWhCzH9yG1SK68uMvcTEScSPSJU5LUQt23bJhOCUNNdffcMYdkQm+f73mZibRlAFnJSFYDzGK2dAXQcgLo7mcNpUU4vuOXA3PVJiyBXd4TlI7pj+Dnfm+KgycCrC53S86dEy8LLkvn5DyJHc4FcSW2LIFcrPIvL8gn58mMZzSrxVdVPX5ubYqRWcWhNFmteCZRUoMQGhkZLtoc8+9+sM0j/zagO8wZu5QiBs3IlgkX5DjIcyBasmpCnCRzw2ozvW1KoEuRXb45S2c4soas68f9jnMcmczuKy40WYJdVYLwfE5italZSUGrBhtmQ+ZnAuJEoK+8ZCNSSKKoTxqtuvFXFUaabESoNviOg3uiQKqoNbGMOSZjDG8KDVn+nTypYypAN5wbaFZZeyKZk+/Om21BrXVMksJvfLbJM7tD53nLPKlTOifjs05sMfZ3svzgfGUKec65OnTzfHx9DpNPOCdlA0S23BdgtudWGwrH4EXQmTN6KjEiu6fKSRVjuP7ymB/7jja/+qlpolQCSSFVsIIUxTClAHUOcovzsN3E1ZyKC2JHiqy6UJTFVkVtiiwlS6G/RbXMNnOJ8u8qM2bPiLsIZCtlDXnbnDAVmQik0hUJDJIFBmmdODHof/Q976ZWa7B/34s8eP8daC/7h0wZEIyzuJ14LBl5XH9PsLGYTOxU5QjnYfKMrUWWjhdmDOAOvJOZynE7UMkssAxT7n4s4GOfbdIeeI6mM8+brEnXOSdl1rKshxnX4WVy6zwzCKsJnuyVmIT0eVj7HLyPAb0E+ThrZ1Nhja3o8YzJhbMRU6mQNmP1RNEKDf/k/X2eejHgzkcV1CtoQ4CEFMUoB3LGrF7FQixswSzLWWpvUci6TElQVTw2L6sVokjTF9dW1hV2rr+eVzSOS7fcySmliev0AcNaO+amW1/B1ddcRbfXQ081FUFNMTct2DiXMEo9RhEkqWMRQTWLlzsl1f1axsE+vodirrsrzC0q0mVibxf3M2aMzYvddUVFnihzXnDLQp64wFLKBKkTdh/W/PdPt9i/7GX73ueb2GbaO2Pvc5qJJ4NKJpibCrArOrCI+s93y2XtRC1KyeJlYqVohOB8afyJIUFZjYq1pthUVmS6PBUGIRUyNlw8m/LPPtDl8GnNvhMCq6sCy33hxGRx2DkyJfss0lmVTovbMQ0uqRRYVe82n4JVltgWAM9rcDLwj7F5doXk1YtVeedsWvezSeoaj1fWRnQHltRqklShtXZRcaOWsnFhyErXZzlRbgYKJWiLQpcimCytvxL8VSYvravidcUxOR/I3c+Ysb8jC+bOWPxlwZ2/lxTSxA8STrcFP/e7LT5/Tx3rVdLxmTSpsne5o/K4533e0lhKTFQzllVGL98cB/wYa0+APX/v3JqUqg7PAV0NQB17p0aS77ZgsuSPENrNEcHiScN7bxvQHkl+8lcUZ9YEBJNMrs8LcityV8WWwM0ArcY0eJmxtJV/Oi+eyutU8jHMZZKoIskk5/SCqozGc7/dSUj3l42xdHqGUyuWwch99NSAVEqgvPC078d3zM9L0rRLfyQxlfFbUuTzR7JpUTKbRaLHxzSUHexlhV/xeiIpozNPu+ph5yDVqgrg/O+lpQ14XnCXLWgyqzWJMHzx4Rp3P1HPak2ywFLICfamHCJfYe/zFlNV9LesALvIXk4wdxFjns8zrtaiTOjMbDunyqDT8QHweadP1QsutuguhgdJjFXZe+55kmiElbz1VUPe/Zo+vkggScAkYKt3Q2JgZGBoBZGB2ApiA4kRJFaQWDeEJzUie6wMjErz+d2M/1nlnqSWxNjsufu5JHs/TW0xJiJNbfZ3bPZv5eME84BTUAsUqYipzzRI4I4wDE8LqVC/8JFf54rrr1k7vsjaC/vj735x9wpC1IuEjtv7PZ/7VwU2Y6MadKU3sqgXUXmDcLXFjLGy17ES2MkKwSKZk3nfatI9mQB3rr11QioNX3igxv/521McOh2UTQzFXSOkIJAQSlvMO9F5YqdIOo0nrZwkExNxSa4/JcW2KmJ8SL+r35HnlDgIOf763GrMiexpdWXJSx9w3S5VOVn92fENoABjmW0lXHFJwrEzin1HNMaKiv9cLkGmSNBkEcXYBTvuENniZ8ezsvnPjfn/dvzCdu+JcjWz1Z8T4/yQsUYeJ2ktadU9tqyLePvrN3PFxfX/9ezZXY/dctOb3R49S0s+ge9x+kyTdq/GVDPrsmBy3nYFxEWQmGvxigsiyfZSrMiPiUCyzMbl8qR0TYSo6vDxqU5S5KxfglsWYHe62/NSDi1JPva5BnsOBNDIEjr5XZ7L3mpMjtgxhj63c6cMNqvZvyqBi/MyeeminDe4ROCG0VfYveKiyAIUlWpDky3zRmBFqcdFxUIURiGEdVOvsqAzHhkuvzjmB97X5YkXfA4vZgDPrD+HIAAnV2xW/FQEg3lwKMrgsNgsLA8qs69hTKbNZemRy6pkkaV1mA/0tEJUBnu6Elxs7pBnxz1z9XKl0aoFzNZr1LWHl81+0wBves2VhLWQl+bhkUdOZBNaKxOjKkPkVcZwMmfm82UgJzT2ucCu1KVU3pOVgFJUXZPKc5lZg/lzOZbUcVOqVrqCX/ujFvc9E7oqQVm1BRUIx7TlIJ9KIodxSfJytqCceH3ewPLlAs0qCY4xmGOxoojJjjOhJQdymcWUotTiMgO8ETIDtJsG7PxohRHuMcWdk7Rvue26Ef/iwx3+8+9Ns9ov3RSHPHJDm9RIRplWNsLZhvlnyZskpHFEYSVubmHl2FoBJt9iJdPok0DP80tFTJfJD5kHoRakFeRF6kK4+hRjLFFiWVzVDLmA+szVDIbDEuCbN29gYWHDnV/72n2/qLT/k1ollS323C7AWp9HRsgqS1Nh4PNbf2N7KBbMXgVz/p4ZB70wlHP5TMncuSQRjrmVShkKy299rsnvfrZJN/Vcy1bumEwElvlOzrnuPl9yp5q9rDL1eP13vqq77ayrseVfdaum6ceX9opdWP2ZagFW1pQsK4Fnztwyy3YKI7OA02bAd3djFWliaXoxP/z+LmeWFb/+Ry0GZuwLZUxuAU2KZJSVrlqEsyNltr9mBmYj3IiJnM1NJWgXOYDtywDdOZEF6KUg20HCXdhum8Ny8pZbZAyxEihpmJ6rMewt/+JFF++48+TJ00BWDflLv/TLtFqNOI6jS5VIv1WrmHoIoW/xPZuB3VR2SSiLoFzgyYSOpggyi+q/vBun0rggizYzOyF7zHjNd6UbXlYAnt/zclg8w/P7ff7Lx6c4ejYoU/FFxtLNGJRCEEqyTVwpA+ds1SrqbESlEKp4PlksJYr3qxtl5UNGC+1d/Fllam5RRjw+wq6s1SkngI1XYjLWUFIEvrJ6QZYkU91Ku9DheVBsLaFvWDeT8tALHmcWJVZW/M6xH3Y62zi1QnX2S3VurasSrGw/UtXnExdykbya0O+T+7OWSS7ysvVSrGTkUquFgP2jRx998OG3vPUdJYMDfNu3fgu+H/Lcs49wcN/T1AJF4JuCvXOwlr40Y2w9mXYv2bpywKs/LwyiIl+qP1/q7VyDmwqTp2MMnutu5aU8d9Dnx35xhuf3BVhPVvR2WW9CYQvaMeae9L0nrcHz6vGJzp3ydJcv/josXhXk58xMOccudJuA5SP08k0ITDbO2IiMsbO6cZHbhtZm3TEWYZ0uNzn4I8u1l8b85k+u8cP/RfD8/iw4KTw9SupFY5EkOJQb4ZhcZzJF4Sw7SXaRZxq62N6E8ZWxOOamDN6rgbQQZDu55Tu8uSA+NZDqzEnBEEcpr7juQt7whtcyHAyBfzMO8JmZGYKgxlQroBGm1ENB4JWztMcYtqqxpS2BWi3bFNX3y2BS5D+PPc/frQSaRdCZVqTK+cGtvZSulfyPz9V59sWAVE8ElUIVtKhExtqimqGsJqIqNqAcT9NPjiMea+Grssm4ufDyuK4C+5w/ExR9mvkPTDJixRsHW2DQSRORzQYsZYsbSJ/LFOtqx7EgDDoxXH/liH/6nh4/9ase3USAN/HhTM7qCislsRWkAlIh8IC0KFRzx9lkHT5KuPF+qhq8i3IyQwFmW635qXaN2RLomSGgZGZDqmxjBpsidcDszBw9v18cxwLgntZ42t8/1QoPrJsPLlaij++Vtl/eQjbJzM6emmDqis4WuNdU3xdm7Gcd8E322pQsXtHgotKp44Ceded4KX0j+NjnG3z67gYjlQeSehzg5HOzHTmd035WZWvJGJBfLpgUlf9NAt29V/VV/nogz5f2wi+o6HADxSjjcW+8BPB4Mki6LWaMdGxtXY24qCSDUivBKFJh8ZOED7y5z64jmo99rkkvxoE8B7asRMPGBesGSYTztXW2OhZN2pkTkmYANkKM1feUcU5lK8n8z6AopBr7c4lrlq7UO/iIpgAAOBZJREFUQQ0jy0yrjufVDgT/d3tfHmdnVZ//nHPe5e6zZCaTWTJZJgtZIJCESNgVRKWuBW2rlV+xRS3aj/6q0ip1qd2s3W2ldlHbUvwUFUUUAQFZJQoEMCQhO9kTMskkmTtzl3c55/fHOec9533vnbATtL+Tz/3cue/cO7n3vc953ue7+972ZhC0Ary7px87N916Z0937hu8Vv6j2vgROK5jGBUSpOaLt8Y0wx7ZLNr8Lv37VobXP/O0TEkM0Nh4TYj2pMie3hMBwdd/WMSff7WC0aPZPBMFcip9SQ6B6jFoRyytlFggdYnUn5UiA/bky7DY3GLslmPPsmyD0sK0lCNAUoBrbgL2fCT5M0kBXbK1YnHoY9QYwipnBWCJERpDoK87wrXvGwcE8B+3ljARQrIAoCputFSRr4XalJFi84gArmJwB9qLQgyZqAxDfa6NnZBh9sRoT59PCX6S2iBxHKGvfxqYV/rGd37w4J1XvufSVoADgO9TUObfVikFb8nRaBkQJAxknO+GvvQbQMqIaQW0NIC4tTGsG5QnBiJ5jmbsxA9ODHMTy/dNfIFbflzAX/x7Gc8ccxS4mdLa9r08aWntnU2JNfKkxQWo5YkNdCs51tyej/BuA3QYoBtp0lr40MLgXChfspYurSyesLlO0CL60i7D+8pTjSigmNHJce1vVzFWpfjGD0tALkKqCEFPPkhuLDEsI5DE1ceI7KOiOxPokSr6PDNiwG5cryIJwSdZmcQWcMQGo5RB1Ee16fw8l8/fFsTpk58CeP+cN2F00/sf6i6TtbFfWxYEMWLB5CVOECvvIc1WgNmFRH3oFlDbv9MsDSlXkAE6VXKFaMOScBAFbq29mSewfZ+D//5hEQcPu0COJtmB6RtNpIkJxbfmmqSNS5EBbkZzW4+zVmYW2ylNTtq4ArMItxgcdqKV+oUJ9FhJSdAps9L45Iq9k8kLhMqiXX3uhWFwokxDKWEUeIMIM3oivOdNNfx0nYcd+13AA1oqbVLvVm4SCKoq4CWja2ZmBEnrOKbBrBOz1HENbJoiT8MY0psiB8BGnCCEzDJwmQNntLH201+5+6GNP/js1AAHgIaYDRCKickjmDFtDCLOIQxdOcKOM3BOk6CDrllKJurqsDCsEHGb32uWhwX8tEQxelzLEiNVYjBPYMcBB5+5rgP3PpaTBZRU6myTJcgSZiEwqbBOm2zBqTwnyTFqfrZBrVk7K7VTm8IGegbI+ucEtLB7kmQ2gci42TIyRaR84Tr6aRmdyssiiAy/G4NTsjg4S2BEiABvCLx2eROfv3ocn76ugqcPEMCNjDwRQlp9epIsIeaqqfJhhdDRVUCnmSdMDQ10A24tYai+QqpzZrsUmyovJuYcPIrgRnUsXFzE8mWD4Jxj4w/SeG4B+Dh7FxzHCa67PYAbPYhPXlFFpeSi3sghjFzEGZDrS0jC0Aljq/yH5GdhnUD9XM300ruali88ATahsZEprsCuUQef/UoF376rgICoaVQZ1m5lb9VAE9kyNG3sZkCtmTdDydkNYAd8SMJkL27ZEUxocFselbYyRXtUbO9KYlwikSuE66Y80utCEtehliwUgstoZ86J8c6L64g58OkvV7B71JWIIfI7l33l1M/QSdoqwUaoE6TuZWkeSSKhgCy3sG0WBs3qSNpQEw1uQCV3CYg4BA0a6PTq+MRvHcaFq8/AyKkXBYJH+OofPwvAY9qPad2FaxYvWLToscc2XvDd+5oYmsZx/mk1EJJHGLngRDfhNTRkGppbrAzD4gbgBtxGx4v0RtDsbQGckhjUAXYfdvCHX6rgO3cXEBCVKEPaSxOtvZMOVSn2Fm3D7c+ah6JZ22Zr68GUYfvnhGxYYUvJXakMwxZgiyQIQqwKF92awehxkbA4EVR6UxR7J6DX5ixhktEFRRQLuIjx65fU4TDgk1+qYPdh6PEPxrsCxeTqb0AnWBFl0SQnxGIDnUBFaCLHYsu2aXf+hBBAHIDGk7h4xVEMdNcwc6CMjs5T75veNfsa4GjLa1oAftq8IprHbqhe+SvYcmhf4dw/+vII6x+cwPf/bD+6SrE0SIjIyJOs4agBbZRk+g1bxmnmb8h7HUxSACccxAEOHHNw7Zcr+M5dBQSMGrZIAE2RkiZKd9tek2R4qzy3aeOSGmADxrPSTovbzGO+OvMFPh98p4I7SIM5pcMtxpbg1zJEpF6nvSoysEMT92Baxkidrtvhc0JlL28uQFSxmEr9ggOOyy+qI4qBP/hSBw4e1SDX79gqsbHLdfTNdk4kP9on0vwsSOsxszgQR+jrqOFP3zeBgekMN/64M/7eQ91bvvfQbdVP/e6lyK4WgAOA5wpsfrp59ZOb557Z33PodI8xbNo1htWLqfriOYynJCst7KArMmCXaDC+X8PierMQ2Bo8lscYEDkU/35LHt++I4+A2gZlFtgmtq2zBXXIncGy5i2WTtyDyYbL6vHWih0CtBxoK2lOBGwYwob9szAvTOejKFbPVPgY3Z2elkxShRIWi3OqErY0+GlKonAlPRK/eSzgQOCdb6hjy04Xf/m1kpQXdhUwEcn7k++fJCTYdmVZPcX41j2xKIYQQLhYMJOiXu/G/gOdeN3ygScf2DZx9dhkue1/0xbgpPib+M/rvxlfel5BPFE+hrlDHKcMdaBai5L2CzroohmW2sCkAo4rvSI8Ioii1k9nS5zUhrA0uJ51Dofgzod83PijApq6/zIsYMNicxhpknhOYBkvmnFVuVPbap2Mp8TW221/zkqW5wDutoC38zQyj2EboYkXBUiPIFSAVmH8hK1VwlW2KkhXAgnVCo4krkPtU6cq4swgeAyfC/zaJXU8usnBj9bkEiUCLTmT3hBoZW0lP1M7OiZSiFMikUjR5ru0Ui7A4OYp1u/oxf/8CDhlVhHLl58mVoyw+JwLLm17TtsCHADedMm5CILGjUW2e0HJ3VccO15BV6VqFfuqAgPHNJsH4wATaDYINu5mGB2nWDgYY8Z0lTYvLQzZTDGyk9j1iTBXAUARskPwgwfzuOYfynhqpwd4rP0JyDA4g2JviJTXRD+2gzotxiVOoLdB7Itr6t2TzMcROMESUzzBRjhIBsBW8pHClTQmkeRk66bxNmOnf4YBL9EyRzK4XfpGiL5SmBuJOZbODfC3Hx3HJ5jADx/IS/bQfSTafmr1hmPAuFMkkfVNj7FwMMboOMW23QxBzcpAY6oChSpwcwI4DooMmFFk2LFXoFLumHzzrJU35nO5KU/zlACf3jcgNj3x/S8tOWX21aP7dhQp46qAWPb5c1gELx8gDAXGJgh+usHFkztcOC5wbILiZ497OHCIYvnSEIvnR6BCwHc4zj8jxMKZIQoFLl1YUZbppJYjlIA4BLc8kMOn/kmB283qbou9E7Ab9tbnniVyygayFS6GeWwblmgD/qyD3FYpKSYn2UlrU+DcAq7Bd9ZlSKx6RcPUxsVoHYdmdVu7S0BTi6FJRo9rpicQqnGQugKntRBoILB4doi//L0qKAh+cH9Ofnrdz9DOPSAAIumhKRQ4Fg5HOP/0AL7LQYXAovkRViwNsf+QxMuxKoXrAeu2efjZRh/HJx2EDQfIcZXwxRALF7HgmKhHGBweOfLAT5/80m+9561TcsmUAAeArumLETaPY2JsDcqFoygX6sj7dThOAOZFWLuZ4bv35fDY+hw27fOw+5Ac2sQFQRRKmtl0QMD5sQCETNo6ZWaERcMBXru6iTef38CM7hi8aW98AqLS+255IIdP/WMZG3a4MsaeOKUtfZa6SYQymJF/KX+3JUlS7E3TRmSr18R8X/pGU2DOgN4+iW10eTueM08Wqeek+6XoXBVJ2TpynlS1CxvQMkpouxHTjI7Ek5IwtxAqLcBEQaGinYILVeQgwEOBpXNC/PmHqxAAbn1AMWiiw9VqAjO6I/zK+Q28dnUTi4ZDnDIUwaXyPereS4v6Y1ywOAIXcvbp7lGKTfsdPLo+h+/dU8Bjm3OAywEG1DjBYVAM9ZSxfNkCTOuunJBATghw5g81eTT+wZ7ead+qVjcWY9KAH8Q4NkHw7XuLuPmeIrbt81Cru7JTFGOIodCTkx9YcIGQywziMOJ4fKuLdVs93Lk2h2/elcdVb6vh0gsbKDLF5soQv+0nOXzyH0vYuMOVWkMbHsYsbJUqaGVvm6X1/kgl9Oi/2NYzkm2NbI0jSZibqNc9d8/JVHSTArJIH0/8UZmE/3RASEqFREdzVVKW+MVNWZstV1KhfU5BmB7Tbd0TNRcIApTHECFw6lzJ5JwDtz3kmxyHCCgwgUtf38BVb6vh9IUBpnVyMEEQhxRCyGBQEFDwhjzTlAIEHFwIzOrlmNMf4fylVbztvDq+c08eN92bx9hEDcydAGU5DAyvmAShHzxlZEbzBQM8jg7ynr7hR/YcfuP4VV/YUZwMIiBuIgoCjI4RTAaubD1c8DIamJpviwrIKu1Y3liEmBOMjhPctYZi4w4HG3c6eM8lDcydGYELgjvWePjE35fw1NOuzGZLMbdtXbdnbzscb4flTb5Dlq1Fq/bOSJIUk5P0vQ34lic/F9hbtlfKq6IACEue6Oe0SJPEuLQepzwqti9cMzSsaGbGhZhicuk/F5CBHCE4BOdACCyZG+KvPlqFEMCda3xwCMyZGeE3L2ngqnfUMDg9BmKBuEkRqBHknDN5ExLsOg3B1AdIJ4bvRjhtToiRwXFceekEmk0PQZhDyPPonXvWuF+c/ciBw2P8RKf2hACH2w/Hcw/vG3368vNXnnfvDbc+4k42XIhmFREB4HkA8wHqgSTtGIwSFeobEMKRBXkitBAjL3n7Djv4q38r4YFHPfzTH4xjzzMMv/+3ZWze5VjMnRUKinsTd5LKbFDGpANblqTrK01eTHuvSUp/673V8nzSFs9ZVyIy77wNrs19mxB9GsxpTZ1IDkhvkNHfrTreRDjTjA2YMYG2R0VwCpFicRN217aG0EXAIbB4doS/+1gVH/4iwZ5DFF++porVZzRRhJQzPKbg3EEcu4i4o6LhDDGn8v8SxDqXImkREvMQbkyQcwMM9HHUaz5GD1fQ1fm6sFLgl1emdRyWSTIvEOB93R42bN6JVafN3ueRYMfRg5sXlkt74HrjuOUnJewc9QGWB2MOPFUCJiOE8sRFgiDkBAGniIkjy6c1NUEmWYEKTMYED6318G83F7D/EMWW7Y6SODZENLA1koxLUKNMeRSN9oZd3IwUg7dr6JNustla3JACbua19soyvX2sBeTaNtPgTDwwliFp2W82O0OI5EKpC3Z1gp+wWVqDlKTdhLaBSTNSRT5fyx4NaJJsFkLMGxYRsHBuhPe9rYYDoxRnr2wiz1WrFa6nwsmx41HkIuIMceQkaR9cVxzr9GXVFsR1GFwmsPugwHd/UgSPujGvfybOXH3Gjnxp/r7qsZ2odM154QAHAIdRbFj36K6CX7nq3W9ZfP9wZTcKxRBPbAF2jvrIuQ5KTMCnJpGJSPjKRi2CoBET1DhBEDkQ4IrNlb9I5e+ce1aA972tjt2HKB7d7GDbLpXBluVAknByykIkCtzpnO40iFNMnmyZNKOndHgK2KQNoNsYmm3Xc1XnGtwwHhJk5Uj6ebZMSenxRJKIZLOkeh0io72Td5k+DsXcOu8w7SSVb4a6wJanHfzXLXnsOcSwdG6Mi89qgroComkaEMUxQxQ7CCMXYcQQx04CcDXcQV6FFcA5p8j7MXYdAr70zekgYQc+9YFTceQYuWrzjrW7XrNy0bOey2cF+MJ5wwiaNbhe/sDhfdEDh3bmzvv2fT62HupAPu+i2xMo6CJkBR5AuTxVcoxHCVhEMC4oAuFIXycHEALD0yK85vQm/vgDE1g0EmHuLIIPvr2BT/2Tg4DTZOKGYW1kaFUZKUqaJGVRmcDOVK7AdlKlxdgkJ9gAFswTjD/XageLvVPRSiF0KooJ7CgPhZYdOv/EpIRYbsREixuPisxPseWISIM4iW6ayqAkoGSztzCJU9robsYEX7k5j/sf9lEPCT76NxV87oNVrF7WxHBXjDgGBJcsHkYOgtBFGDoIY4Y4ljOGtEwxDM4RxgyUArN6Od587jh+tnE6ps0YeWDZGWcdmJyso1QqPOspZs/6DAB/8qd/hiuvuGCsUMhX7348eNefff0IqvUuzCgBHb5A3hPIu3KWk6duLpPdouySsFgQBFw5vxsB5g818KkPjOOjvzGJ4b4YIgI8CMzo5dh/hGHDVle5QkzhQirnW+t+qkrRqAnNm7EjukGoiSGYqnZh1f2lK+Wp/u90Byqih28RK31WWf+UGG2uquf146SyXv+emGoUkMwVhprNY56fvvqYv9tqP9h+e9uATorkrXiAeSxSz03/bPex0YRhotWEClCP4Ft35vDlbxZxeIIBLsGRowz3P+bh4DMMi+ZF6O0QCEMXYeQjCD00A31z0YwchKGDIGIII4YwZogihihWt9BBpUCweNY4zli2Ah1d8z++Y/f2B0+ZN+85ccizMrheo/V5IPnyIwELbz7jlPDtu3bsRClH4ap2bsw64ZphOBeIYsBRwZxmLDBJgKjJMTLQwGc+cAyXX1RDjgI8TAKdmDszxJVvrWPNkx52H3QtO4JkboZRmQWCVIU8rC86BZ609p7S6FQM3dJl1qJ781ySELOuIzQr/SjJTbKZXGtwW44Ic9xIFpH5XbakTbsKtbGpXyOvADzrJVEyLcXaIGn9DZM6J9+/rNXdtd/Bf9xSwM7drmziSSkEAQ6NObjhhw6aAcHnPjCO4Z4YtQZBFDloNF3Umy6aoYMopoi57rWoN71qMOVwNBjHRJ1hRv8iLF6++GZWHHwEOP5cYfvcAX7m0mE8tXX/rivecc5H9u/YyNxm7i31ekMOqEpYznx5QsgGjBEH3Eh2wKrHBDzimNs/gc/99lFcdkETTuQgiEnCGCAciASWjIRYOS/E7j0e4GXj2rZAJgnD2S3iEo2dAXGq5hJpIGu42tIm818p5mtlTr3T7L/1nJYFXo1gO0epNXppB25gJVSlN4Yd1UyeB9vYREpuaKOTJvrcyJmU10QYUoEHPLrNxYbtrhnapN22OYIGd/DtexyAEnz2yhp6KhxB6GCy7qPWcBCEDGFMDMCVrpc63HQXdpwyaGH292cW3/CRWnX/7mJlwUsPcABYNH8A9z3w091vfO2K9WHj+Fs2btoO32VgjCSXV8CwN0+6iAK+I1BtcszumcBnrziKXz1fAGEejZjKZC2rWp5EMXrLMZYvDXHHoxyTIW3/TonRvqkChgSEU+R2o83jqRg89RoT6LFBnLUv7c3xfICOLLCtXwn7eNb/nQK0dUsCPSrKqVqtGT2dMV5tfZ0wP1LMra9RlAlMVCkeXe9hdFyP07MrqWQuSSMGvnVvHoIcxSffEyIKXByt+mg0GcKIqA60ajyiLqIhppsDjyNM6x3CtP5V67dvfmz3vFNWPh/IPj+AA8DwUD9mzxr6y01bts89fuzYr01OVuG7VGlNxdy6va2SKnrn93YLnHtGjIvPKGJiogCQzFwdFoGBAJGAX4yxbHGAvs4YOw466XdqCclEkqj9n1Rrw/aWnNi4NNqVtJUn2c1AicXWhvqT5xvgm/eYBa9+nArs6JstVYjyhFhSJfkb+vXaL84ltlTZQZtgkAn6pFJpjTfd2ijS+wHw5Ji9iAMcPMzw5AYPQZ0CRZ315yLpv04ZqCtTAG55uARGA1ywpAjBPekahGzMKRv2S+eaNHIlwF2Ho7OzG9N6Z904OHzaXx4d2/d84fr8AT5nzizc9N3bjs+eNet927dvHXRp81zXkS1sIYA4FghVT2euvgVGCXI+Q183MLO3C4fGXORzAXw3hOuGcFkE1wkVKORlCSJGwePIeRnfWJsQSlLPZ8uTdqyd3Kef05JFmNHnWXmCduDPAvm5sPdU2ptkmJgYkCLxaZs57unnk3S43k7Igu0H19VAql6zxQ9ubSRNUikWBxoBQS0kpkVH0uDUBWEufEZQZAIlFyi5DAf35/E4Y+jtosj5JLHbuLrKh5G84kPIfif5nINypfBg/+DM92168s7aaSsuefkBDgCXveNNePLJdbV3Xfbm4K4f3YpG/Rjyvox61ZsUtYYcJ6FHN7sORSFHkPc56g0Hxydy0DWDQhBpRCYV91Ku8AbDOYtDnLuyiY17fesSbiHO8jBY3vEp5UkWyC2eCVt3twOzJU9s5reeZH6X3Y9T4zt5IBL9LtEu7Cciw/AJ8GV3WULaSBbb2CSGvU1kU+0MNY4kkUW27m4TiyVEhjEeXOvhwY2eNC5hGFyDu+IIlF2OkidQyQnkPYJGM8b4JEUUO7J1pPp/5aRijkZT5i05jKDP78bpq94QTDTICwL3CwY4AMydOwdC8IeXL1+2ev/T9+U7i5OoBxQHjviIYpqcKEoBzyXwPVk+GXOCIGBouI5qwBmDRg70DB6Z1BMj5gR+UaBSEonbPIUaYgRBNrBjA15HM9u7wqbQ3Ml/QVrY3HhPDJBtXZ9CNUlLlmdHeTvWVkafNgw5SQY6pfqGt6TUWtKE6yuEHeyx/do6j1xeDpI2hLC0fSrYJo+PVynCGpXDrPTUDOqAUYICBfJMIOcAOUeoLmly1nwQSmkqBJWhDQGEkcD4RIhnjkaoN4G+bh8XXHBafXBo1sOUvvBC7hf8ymKxDMa8a1esPOvvF53S2RDsANbvqmL/4QhxrH3Eeqy17Nqqd2vEKaKIIowp4khGuPSU3qT/ihW/TpgsGxcnFojRxni0WDVbnpZ1+z1bZQ+x3wKQ5KMQG+VZlj8Rrm1WtmSEOQgjWSzg8+Q1xkjkKYPR7l+TNiTN86x7tJMm1mu10Wl7Xey8BTsfSN1cCvhqaoarx90oG40rGRvHXMpYLjclowQDvQJL5o2jLsZR6B5onHPuOX/vue61lXIZL3S9qB4H+XyeTx659XMR6/ziXevmBLevcbH3GTlXRX+JmqD0TUAZFnrstAZ10orCnFDz7VqIbsPeKf1NTOagDei2BuYUYNdBHFu+pO/TUiTrGkyF+DN7sh3IU4AXFoCRYXGbmYEMWDW4bUCbkDznbdJjYdoSp/zfGviwjmlDNKubzKcGiMySd6HaZ1MzBsYUc5vX6diBAMAYxdB0F5ecyfCRd/cEp5wy7Yv/ftMDnysUCifMFny29YIlil5/cX05iMjgF/KOH1x4+tbPI45opUhQb3LUGgKuoOCufQ2WJ0PZElZ/aLSwSIopWk6mMTATINtghgX0E8gTfabTMqWNNyUlQzKAt+wB85YJTkjhFrC19tbBn8Q3bt3bxxItTdJpsamCByGSv5kqb0syCJHkh9sGJ7W+C6PFYTnrM3xjfyfqM7e05GjzuQkhcBwC1wEm6wK1IMbugwTjtUH+xgsHPn/5qsrfhqPV4NoPvjh8vuguNf/wmXfg/ZcG9fdfPufm1513qpjeHWNm/yRGqw0cHAsRhHEyDeuEmM2eKwhlt2gVa+d9qyPEZmC7N+KzRCuB9oxuPxdoZW11MBXuRnYTPL+WERoxNivrzY8Ma6cDOdnIZZog0kydliI8c28MTlu6mCsJYHR4Ki8lhoX2DKNbwBaZzwpA2WbAwLQIvd2T2H2ohgOHA3TPWCq2H1l6803fK9W96e99sfB8CdowAZgxYxAj8xZsnTm84OpLXreE+/lR7DpUw/ikHBOnvSmpqQOpAgShvCg6wiid/MePURw8otIpteWX4lFVRIysRyQNYunqszuY2mCegr1b5AxJbRQD9DSc5du0mN0cPRG+DdCtA7Yc4VpDwwa0BF12+kEyy56jVbIIbUiS9P8h0gA2KbJIgRqQUpISoK8nRrkjVh4AAQhpIaRtAnvzCrN5iSxZ6yhxzOofR0NMYmjecr5wwcjVixefsnV45uBLAc2XBuB9g6fh+PF6sHDxyq8+uafxse8+NIgDhxjKOYHU2A4CM75E9wJPTXcwPVaYJ/DwFgePPOEDsSlqsFNl26XDGqkiUoTfroq+nQclxd7ZIA+x2vbCMmKT35nN0gL6LKgz7v2UCxBZ0LUGbFoNyGdhcc3a3NoAWSbP/n1OUppcG59cTX1YtSzAqoUh0EyjORYysS4ZO66Df2oPcGHmXE7UGXo7KD72m3msXHr8Y6vPWvnV6vixYNWKJS8JwF+0Btere/p8rN+yL37Na969PeKPV73orrJHavA9qrILoRKzRDK9jep5mKkusvIelKMeumhGtC0qU7obWqqIFuDK7SCmAHN2k0zB3oTYVXGJq9DkiKfn1tsuxnYgT7Q2DMiV9Dbgh2HzFv83ptbi2u+dFCSnUmdtAKebdrbzpthGZlrOyJpK3xHIu2pijypJFEIgFFADY3U/QSJrA9Rg1ygSiCKORkBx5DhQLg/hrHPPqw7MOn17FO2OzzjtueeaPNt6SRhcr2KhhGm5xvffcvHKD7378ovHBmZ0IecK+J6A53K4Lofj6IFWHC6L4TAzwZipHoSOE2GySrDmMR/7xhyZB2vDmZjytATYQIsenoqxp/KqTNXNiqTAPJUU0qUAaQ2elTAp96B93Aa0liVAW7ZOyRGOZBoyT/3esHO69XXGW9LiNkQa7JaRaYM8iigGuzhWr2igWFIhSAXySABNLrvASlDLNsdRDISx9Hk3A46JWghOyxgauXiss2f1h/buId93nNJLCcmXFuBzhjpQmTYAQsn155y9+uMXve6C0YEZFRRyMXxXjiP0nBiuvrlyrqUEueqYxeRYkid3Mdz+kzyCpvYx2Qam7p7Xxq8NtM7WQcYgBUwON9oBWl0haNpdSK3fpVyHlEx5BZAox5QyvL1WRWKY21KFZ47rBCW5EQxINdATwFsbIJExHCnAG33fKlnQInUo4pgi5wOXnt3AqbMDiV4RAXEIzmPUOVCLZTVXMyIIYoIgkhHuIBKYrEdw3BJWrDx3dNkZr/m4ALl+5vB0EDLt1QtwvSqVCoD46ytWrvrkqUvnjfqulCKuw+G5MXwvgu+F8L0QnhPCdULZEo5GcJwQkwFwy30FPLHdB/xsD0KaYe8pNDS0RBHp4gC1V7IhfJrdDNQ2LO2ChTTIU2NMEiAbZE/lJrMpPCU/7Bu32HwKg9Po2jSIbT2eZXCd4MQzbJ9ic0tzt5saIQRD1GA4fSTEmy+ooeCHkqZFCMQhophjIiKohgT1iKARAkEkGTyKBMIIGJ69YHTVmas+2WyGXy+VXngw5xUHOAAUCmXs237XV7s7c9d0dPWPEciJbTkvQsEPkPcbyPkN+F4TrhPAdQI4TgjXj/DzHQ5uvj8v3x61+g8mXm87DG/cg7bebldU3E57t4T5U8yMVlYnaW9KSxAoK2UU3lO4t/Bte02AtNcjzbqw2Db7OH0viwdIhrHTAaHWwJBk5nQ8IitV1HOEKSQGJ3j7+XUsm9sAghCIA4A3IOIGgjjC8QgYCwiqAUUjJFKDxxyzhwfHXL94zTe+c/dXOzoqeLnWcypZe6HrS9f9Dy6//PJ1uVxpj+uQSxyM+l2VJno6q+jprKJYrMF1QlAqGdx1Imzey/DH/17BzzYUwB07Q03fWNLz26N6coMpUXPUxMAkgpZ9TEhSoGHa4NnDWRX4qRnwSnQZWyJZzNBXYpesoVXmpOI9lutwqugmkZ65VGqAfq0+QLKPbaOWkNRrE4N4KntDX82Ue9aU6IlE6tnTqNPzl+Tu7K7E6O3heGKbgyPHVWGAiIEgAq/HaAZAKBhch8AjMU5bPKs6b2ToQ76LG377issEXsb1knlRplq+R3nEu24sFaKo5I7/Z4e3NnfwWBMPbAQIpVg6q4GR/giUCoxHwN/cUMYP7isidlvny+ui48R/rm8kfZ+d3JBiapr9kltD8mYgqSVRqNHb6dpM81z53kiqS1YCTk3XGe8J9GGBVAs5ndPN1WxIwSFnwnOAUwLC1Yx47THhCtzK10yEaRmRbdKpZ9sTVYzMCbEGWGV84tAXGLvqR3eepYgjF44r8Jbz6xg9TvEHf+vgWAhQGmJkIMDSWRFAGDbsK2HvgTJOWzi3MTDQ/zs9XeWbxsYbLyoM/6oA+FnnXYa9W74eD86fedOjDx2Of/TY/P/+xu0HcrsOdYLXI/zR/9mDWe8Yg8uABx/N4Xs/KSBmLsBclTxv9fxWYEmF5YktS0Qa5DTNVm2lCTXSJC1RWiUIpaRVxiT3SpdTtGXstDyx0W1+LxSY9bJBnryeQg6aUll4REkSTmUIlEB+eDnFQQGVmNxxGVOTOpwSq79hWz2eMTLV9jP9VFR1RejCo8Dbzm7gez9u4PafFuFSgUteU8cfvlcgmMhh2/7D2H50RqMadPzmjgMLbj4e7Io//7Ffe7nh9/JpcHsNLbgSX/7axnjl2Qe/s3N06RV9XWfU+vMu5vZ76OnyIaI8YsGwc6+LY2Me4LoA9RJJYjrJGpRko5Ut7I1W70m7KGbWQZPV4snUBxvwSpbI11sBHkvCEErSOSo2uC0BbtoTG8+IrbtbjEdujEz7uTzlGUEqyJIYlVwfI+Y1qaCPcRXarp9UpFUAssUyRRzLVmwRdxE0XXR2CcweCsEIRUQL2HO4B1t3DODA6AzMHV5Ve+t5w1fsKbHvXPn2n74i4AZeZg1urx/echuq7CP4+Os3b6yROU/P7nMuXj4ymVu+QKCQE6A0xO0P+3hwfQe4mwOYZ2r8UplMcnKDnrvDaKZNBLHaRWjdrbU1Q9JCQqfxar1NCZLaUltvJ69NAG2DG0mUllHAjnRmXYUJyEUaMMmPqTB92pduCiFSFzLjY8/8H1n93zKhwiYB2koCelw7Uzrc3MxkD5n1qXoLCgYOCkYE1m1heHBDB4TfAd4oojFZRFf33OP50pwP/O6nO2/8ytURRhb97isFu1cO4ACw5p5vYf5Zv4OLzupbP3169/45s6afDz5eyLvH8PSBAJ/4l2kY5xVQJw/KXCTNSfQXr+g6md5Azdx5mXNs+qYzZgzLJCc9MSqNYcmyRiVNA9ekGrSC29bjiTGadUlaALS1+ImilroWUyeo6ZelNoshWOv/IRaoYQxQ2EaonbeT6ZuuW+8pcpCDDoQqAObJ74hqQsRVM80odsC5AyIoFs0OcPtjRUxUC1g2q4JzVi07Uuns/+juQ7kbLnt9E4uWX/FKQu7l1+DZ9cGr5Ads1sf+i1DXGd3b8YXg2OHer94W4GitEwUvj7wjdXWTE9RiGeaVUTIKUIALmqrwseVKyrhsJz1oGrwncika41J7HEgLu2dZO2VcCm3UWY9h+71FythMPgshybg/cPkHKTV/J6mT5PI9cS5kgDfR0aZtW9IBi4sE6MngKiFfyymxXIZac9vvyZQSUirnJul8/iCUoyUBIIxclHyC977+OG740TB+7e0Xjr7jTWf/YRBG/zW9t/OVhhqAkwBwvfx8N0Q8+bWB2ReSDRvqf/HYznt7C06MniKHJ+uXMRESBBMCcaMJIJIJLfAgiIu47ZeQ1dHGRagBqJnbsK9y82W6V9naOiVRsixPTsDYVkKVSYE14ObqPqFzbQTa8oYAgip9Dblh9MA+okGvwcyNByb5gzCbP1bnSZ4vYyBz5ZmxiyzS51VJFhrDYSF8LwLAMD7poj6RQyOQwzMp4cj7FJes9DFn4bmjrz/3/E9yIb42vfelDb8/n3XSAA4AhBWx4emJr8b5i6Mrf7Xr7+6++76uAweOQAgBzyUoBgSrlhzHwlmHcftDLp7YWkbsEQjKEIMlX2SaoW1frq2jDdBb2rS1cwVS+/cG3Ey1YtNTDM0mSbsq7egkeCbvRGfTJcalMeukH1skG1AoSaH1iQE1zOhtKNVOhdkFirE5dM2MfGOx8sjE3FwtOIExQDmBYMZFKP9rydwOC+HlmnhiK8EP1uSxYMDD3BlFNAIXLpPNVGv5Ycxfsvrosr6VnyB08j9f6tD7810nFeAAsGROCXEUXj9n+sqxxrEDI0cngi8+8MDP3J4Kw5JpLt54NsN5p8e45IwJ/MFXBB7eysCZCy4YBPSUx/YeE7tcKiVNKFGhfpIxsoyfO3H9Wa7GNItbLsaMOxKwtLUCoOB28pTdHEkY49LSz0QICPVeAGQuDdYhJU3sLldcSxdhAV5VzwNmE3IiEBMCSoXlXdE1sep/SJrSc7hOiLWbgY/9cw8e39qDCxY5eNPKHKZ1EkzrqGNkwYqwGRau8SoXbI94/laPvaImXtt10gEOAMxx+QOPbPn+Gy691Ht625Zab8W5bvvWDWSwJ6Y5p4hj1Q6ceWodbzxrEo9vKqHJZVpm0qfDkibai5J4ShKD0xiR6QglrGSpdo/TRqYNbtYG5NovDyhMUQLEJkVW5o+ooltuim6Tz6HvqUqB1Y7cpJMPSXqAc/ueK/xyyeSS3dW1RINc7SIDX/k5Y06kARnLInHBSeKfl8Qh5YlwItz+0zzWrutApTuPsAls30fg+UW+YNFK0dU7+8PTh4b/o1F9OvDcU082rAC8SgAOAOeduQBPrt8ULJzbd71Dgnu7SvE7PfLMnzK2DYSEaHIO3+VgPAJElOQ/6wCPBJuwwEfSXhQb3JZ2tj0iRoOndbhuuWe7BKnaOPpKQaiZomyzuOxZIu2FKJZyJFY50THnqtENUuxNqVQbeoBwazWYKcRIQA4oo9P40+WmUMDm8pUQApHqWAUAiLXtQWUASQhwwRO/OIBkul7MYgQhQY5F4IhRa3AUy33o7Bn8THfPnG9Rb3DPvj21YGj41QFu4FUEcAA4dekpAFC/5+5btlTJqi+cNfJzr+BE196y5ji7/ZFuvHbZBC5YNYHbH88DbpK53GJQOionRbarIC0gTyKTCfOmWx6n2handLjF3ik3pN5Y5r3oxYW8qsjeH9JrEUYcQcQRxSKRMACSzZpsJCAjUWAMUaFm00NBNfGiQFXcWEnlRPVMgfSSMKjdAy7/z5iCEg5G08EgkbC4gONEuPvhHJoxw9c+cxD3rAcmasvj/oG+P3vHm5Z84dZ7d8bvvGz1yYZQy3pVAVyv1170Vmz5+U3xgmW/8dmDhw44R35y/8d6K0/4bzpzCxbPGsOdP48Tv7DR23LChAS3rPeT91qmpFnbjkzaGYXp42kWt6WJ3EjCAJ0JA3QNcjUyJHYFGCMIVDZdoxGjGQrESn9r912ySYXCp5AbCUjLF64ZXB+3dD0RiriVC1CXWOqrCKeqCp9BZQ9y9fdVH5tYnjOdkagNBM45/vrGXuw/1ItLlpfwJx9a2mQdb/ybzsrAZ13vJnzoqstONmzarlclwAFgwbLLsPfgGEp579oPX/FGeujAwtWN0RvptoN7VosQDhypwJMoprp3nDS4HaYjlqYulCiDLRUE0fcpHWyzuAKfdaVg6iqhy/CSPiBMt/41zed5QbLijv0xjozHqZEdqSsDBThTY+CtQrZk43HZatqUrBl5nu1tCCgdT/TGkMzPiZIijACgIOAghMoAj5q4EGsW17ImErjgjEr05NaZa4YWvJWXeuasCQLvWiFGQUjvyYbLlIu8+D/xyqxPfPEb8D2nfHy8/q/rNu1/1xPbD1EahegvASUfKPpqyoRH4DkErtse4IAdNjcfX0sVRo1RKeWNfL2Ojjr65siOTbrOVD42N1lrqh9zdJRC7DnSxHU35zA66qGzwNXgAJIMEGDq6sOYfRWi8jmO/iwETB1jjCTvq53R2/plm1gBo2Zzuo6A53B4nkDOi5H3YxRzAYr5AMX8BCplDic3kxc75nzT9YvvF3FYpZ1Xn2xIPKf1qmXw7Pqra96Ntet3VDtK+d97fNOebf9z29ql9fGJt295ahuIT+ExBtcFXAdwXQlyAwjjBQG0C08kFTOppaORNpOTDNMyocBowO3qWlNm153G8BwO3wvR1z2JWlzFWK0He4/nwAHkHVnG56qyU8eRrj1XmDejQcmVl4Rq70qSrKUzA9uk4CLtltQbmlLZqIBxkXS8gqAA4aCEwqECIQNCN4BbWAiv5N/sVS5cH7vz/iEWk9V85/yTDYfnvH5hAA4AK5bOBYDDGzbt/vQ/fvJdsx58ZAseWzf97RueXI+wMQ6HOfBcBk8D3KFwmIlCygw/6X+OY46IqJ4tKg86nciUBrZtdDKCJEdDM6DrcMmCriqoduUgU9+NkPcDFAs1+E4dJG7iWEMg71HEHkeOAx4XiBngqhC7XFaLZwVgTqW0oNzkqqQqg9QiOjgECW49hEAbtNo9yihBzExtp3wBh+Ax8vkKuvtXotKz4OZ8x6kfjaPqrnxp4GRD4HmvXyiA67XklGHs3n9k1/lnLflEd0f++vPOHPnI5k2bz9+0eQuC+gR814XrMngOBWMm3M6UByWKBRpNARFJPzSgvCvq7xP9j1jHEi1uuSITaSKB7bkcvhPDc2N4XiRrT90Aeb8Jz2uCsBjgIaIowtHQhQBFJDjynIA7AtyqijD6XEhgU12OJgNAgBUptVICkoAXTQaCgEdAMxCIYyTnQvvtHaZ6mHCBMOTo7iqhb+Z8zJo9cn+p6P9DedrIOh6Hu/Ll2Sf7a39B6xcS4AAwPDANALYJIbYBWM9I1L982aJ/2bFj67z169czzmMU8wSuQxGEkrVyLuA6AmFMEIYEzZDLEXs69VYbdifILzF+d9U1leluARy+Zm0vgu+G8P0QnhvC95pwnEBWKogYiJuYjBgAOc5aT8NQ4SEAumGSQMQJWOKfNjaDDnTZvQmT90dl2g6lAo4Aag2CiVqMKOZwHQrfZSCUqDbGAuUCAfEdzF1wWrxg3sg2zsMPzJx79gEAW7JtL37R1i8swPVSX8CWw4fHtvA4fkNHJT+4YsXyb/9szYMVF/uLzxwZx6FjDrrLDspFgc5SDNAIT+0WmKgK+Kp3uU7EIkBqNKD8T5DSAImRlkgU2QbDU+DOeSF8P4DvBci5ATyvAccNlLuDA1ETIqSYFD5izmTimPWZ5IxPAaZyXmIOOC0BH7vZj3F7S1YW8FwB3+PI+RyeG2D9dukv7ChRuBWKaaUIew/VwUUHliyaPXnW6nPGwzC6vH9oaB+lbNcvOrD1+oUHuF49Pd0QQuzqnd6z59jxiSWlnDirkAv/7Z6Hn4r2H9vZnfMny53lEDOnT4DTMfxsWwW9uQJ6yhyEEDhM13uSJOKpv2Nu+aXlcxQ7Kg+J4wh4nmTvnBcil2si7zVRyDXguk04LAB1A3DqgnIBRE2wUM66brA8YuEm7EyIKdSImDQEHWUMG1emcWdyJVsIIXCE3nyy0VIxH6Ono4kFsw/gX2/vAovymAWgs0ywcKS7unzl0JhTWOpUiu5Vs2fN/qnrF49DCE5eRMP5V9v6pQE4kLA5r43vPzo4MOOOoHlswXXXf735tb/+t4/v27n2vWhuCYf6qqes20VyE00XZRqjEcje1L6rTgjTHhgk4XWuuqgyXQdJbA2uvSWy30vOD1DM1VEu1rDzYIgnthCAumDEwdEJimXLGpg1NwAjMivykU0lPL2/A0fz+SS4JH36Ak4s4MQE3EFS/ECJciWqZKo45kkZGaMEQk3S8F0Oz4llKw4KzBrk2La33OjsKm1acuo898xzVl3/P/99xV9feOnX/GldnY09B8b5yJyTl9b6cq1fKoDrVagMADKuUdu9ezcoc77IGPvi0tOGWC4/77r7dkQLVp92+Ny4eoA1mw3UmhFcFqJUoPA8ikJOloVGIXB8QqAZSu1KKYEvNMvKwI7LlA/ZjeG7IQq5BkBqeHRbhC/c0IU7flJGDA4nbODcpXV85prjOHdJANLwEAqKH62p44s3BPj53m6MN0vwKIHHADdSPmpuulkRIod9+S6F6wLNAKg3YoSRen/EQRQLEIQoFTkYo4h4Nypdw/GnPzD04B2P9W2ZrNauppTHrpfDr7/3G2JgcLh2sr+vl3P9cgit57EOHDqGXM7vOjR6+M9/+MO7vUc37o5d5i7v68AKJqroKNTRWRYo5ik8N8BTO2Ns35NDdwdDR4mhoyRb/laKMYr5CMV8iEIuRDHXRDFfR2/Xcfz4iQi/f9107Dw0DTnfAWNN/MrZ+3DG/Cr2PO3h1HkCF5+ZAyMeirkG9o/V8fv/XMEda/vRWfbR4wuUfY6iL1D0gaJPUCpQlIsOKiUHnSWKnk6OLfsCbNoRwVNR1HKRYmS4E4vmd6G/p7G2Oll/zMsvYMtWXBiUKt2fisPmUcc/ufnZr/T6pWTwE63+6Z0AcBTA7wLALbfeAxCcH0fhJTk3uLzo1RY6dBL145vQ03kUT+6q4and3Vg8TOB7BXTAAWOAq7wmnisNTMeJ4XshYtHETQ92Yu/haRjsdNBXAmZMd/H+t3go5ICrvt2Fn6wroeAzDPUwTOuYRF/3GN5xziTuemISjchD0yXIxQRBKKWK56g8E6Wvc24Ts/pq2HxgEnuPdWF4WgErz1iAnq4CBvrKm4cHit/O55wfdQvcP7Lo/JN9yk/q+l8H8Ox666+8FgDuHx8/ej+AB4gIRxq1o3zHhj3cr8yfM2Pu4B8uPDyK+YMORHQMUXQcDCHyfhOFHEfOjeGwCAQxivkm7ltHce/aDuQ8FwOVGLP7GJaO5FBGJ+oTNZCij9pEGY9ucNAckfke5UIDFy2v4+JTx3HnY2WEnoNGKINQERdoBgEIKHJujFL/dMyd14MZM47jnYM9qMa1L4wfqT79+ovOpf3Tu6nvu9sBcUd3d/fJPrWvivW/HuB6VSpdAHCHfvzwxiMIfL9zeHjfmonqOgx2OeFQ/6n/N+fx15cKEUr5BqqH16DgPgMuHHCex5FqhG/e62H3GNCZayLHgEqeorscod5oYvfhCL0dE9g7kcf+Qz56O1x0l4HaNI7OcoRff30T2w4x5KiPWHAEHBjuK+EtFy9HV9lBucBQyDt3lvP1vyt1VN35sxbhurOG7geaxwgZOtmn8FW5/j/Ap1irFk8DgGMAbgGA0UPPAMAmiLjPdTl3SAON8fVwnUOIuAMe5tBsxuHIvLd97s8Xj75503YvHOzwMWuGi5EhgQkMYm+V48PvirBuWw48zGNowMO0GQFYcRTrDsA95zWdPyA3PvW5olt26zxGFALdnWWc85pTUS64cF1KXYc9A+DpGTNmnOxT9Aux/tcZmS/n+tZtD0EI0tdXXt9x31pHdBcKGOx1MLOP43B1Ek9s9XDZeXU8to1i7GgBQ70uhvpCdJQP45FteXLhitnHORfP9A9fdLI/yi/N+n9h1b1N9IsRfQAAACV0RVh0ZGF0ZTpjcmVhdGUAMjAyMC0xMS0wN1QxOTo0NDoxNSswMDowMH7aMsYAAAAldEVYdGRhdGU6bW9kaWZ5ADIwMjAtMTEtMDdUMTk6NDQ6MTUrMDA6MDAPh4p6AAAAOXRFWHRTb2Z0d2FyZQBtYXRwbG90bGliIHZlcnNpb24gMi4yLjUsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy9IzyijAAAAAElFTkSuQmCC', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 374874
    {'hecke_orbit_code': 33555904, 'n': 1, 'trace_an': 1}
  • id: 374875
    {'hecke_orbit_code': 33555904, 'n': 2, 'trace_an': 0}
  • id: 374876
    {'hecke_orbit_code': 33555904, 'n': 3, 'trace_an': -3}
  • id: 374877
    {'hecke_orbit_code': 33555904, 'n': 4, 'trace_an': 0}
  • id: 374878
    {'hecke_orbit_code': 33555904, 'n': 5, 'trace_an': 0}
  • id: 374879
    {'hecke_orbit_code': 33555904, 'n': 6, 'trace_an': 0}
  • id: 374880
    {'hecke_orbit_code': 33555904, 'n': 7, 'trace_an': -2}
  • id: 374881
    {'hecke_orbit_code': 33555904, 'n': 8, 'trace_an': 0}
  • id: 374882
    {'hecke_orbit_code': 33555904, 'n': 9, 'trace_an': 6}
  • id: 374883
    {'hecke_orbit_code': 33555904, 'n': 10, 'trace_an': 0}
  • id: 374884
    {'hecke_orbit_code': 33555904, 'n': 11, 'trace_an': 0}
  • id: 374885
    {'hecke_orbit_code': 33555904, 'n': 12, 'trace_an': 0}
  • id: 374886
    {'hecke_orbit_code': 33555904, 'n': 13, 'trace_an': 5}
  • id: 374887
    {'hecke_orbit_code': 33555904, 'n': 14, 'trace_an': 0}
  • id: 374888
    {'hecke_orbit_code': 33555904, 'n': 15, 'trace_an': 0}
  • id: 374889
    {'hecke_orbit_code': 33555904, 'n': 16, 'trace_an': 0}
  • id: 374890
    {'hecke_orbit_code': 33555904, 'n': 17, 'trace_an': -6}
  • id: 374891
    {'hecke_orbit_code': 33555904, 'n': 18, 'trace_an': 0}
  • id: 374892
    {'hecke_orbit_code': 33555904, 'n': 19, 'trace_an': -6}
  • id: 374893
    {'hecke_orbit_code': 33555904, 'n': 20, 'trace_an': 0}
  • id: 374894
    {'hecke_orbit_code': 33555904, 'n': 21, 'trace_an': 6}
  • id: 374895
    {'hecke_orbit_code': 33555904, 'n': 22, 'trace_an': 0}
  • id: 374896
    {'hecke_orbit_code': 33555904, 'n': 23, 'trace_an': 1}
  • id: 374897
    {'hecke_orbit_code': 33555904, 'n': 24, 'trace_an': 0}
  • id: 374898
    {'hecke_orbit_code': 33555904, 'n': 25, 'trace_an': -5}
  • id: 374899
    {'hecke_orbit_code': 33555904, 'n': 26, 'trace_an': 0}
  • id: 374900
    {'hecke_orbit_code': 33555904, 'n': 27, 'trace_an': -9}
  • id: 374901
    {'hecke_orbit_code': 33555904, 'n': 28, 'trace_an': 0}
  • id: 374902
    {'hecke_orbit_code': 33555904, 'n': 29, 'trace_an': -9}
  • id: 374903
    {'hecke_orbit_code': 33555904, 'n': 30, 'trace_an': 0}
  • id: 374904
    {'hecke_orbit_code': 33555904, 'n': 31, 'trace_an': 3}
  • id: 374905
    {'hecke_orbit_code': 33555904, 'n': 32, 'trace_an': 0}
  • id: 374906
    {'hecke_orbit_code': 33555904, 'n': 33, 'trace_an': 0}
  • id: 374907
    {'hecke_orbit_code': 33555904, 'n': 34, 'trace_an': 0}
  • id: 374908
    {'hecke_orbit_code': 33555904, 'n': 35, 'trace_an': 0}
  • id: 374909
    {'hecke_orbit_code': 33555904, 'n': 36, 'trace_an': 0}
  • id: 374910
    {'hecke_orbit_code': 33555904, 'n': 37, 'trace_an': 8}
  • id: 374911
    {'hecke_orbit_code': 33555904, 'n': 38, 'trace_an': 0}
  • id: 374912
    {'hecke_orbit_code': 33555904, 'n': 39, 'trace_an': -15}
  • id: 374913
    {'hecke_orbit_code': 33555904, 'n': 40, 'trace_an': 0}
  • id: 374914
    {'hecke_orbit_code': 33555904, 'n': 41, 'trace_an': 3}
  • id: 374915
    {'hecke_orbit_code': 33555904, 'n': 42, 'trace_an': 0}
  • id: 374916
    {'hecke_orbit_code': 33555904, 'n': 43, 'trace_an': 8}
  • id: 374917
    {'hecke_orbit_code': 33555904, 'n': 44, 'trace_an': 0}
  • id: 374918
    {'hecke_orbit_code': 33555904, 'n': 45, 'trace_an': 0}
  • id: 374919
    {'hecke_orbit_code': 33555904, 'n': 46, 'trace_an': 0}
  • id: 374920
    {'hecke_orbit_code': 33555904, 'n': 47, 'trace_an': 7}
  • id: 374921
    {'hecke_orbit_code': 33555904, 'n': 48, 'trace_an': 0}
  • id: 374922
    {'hecke_orbit_code': 33555904, 'n': 49, 'trace_an': -3}
  • id: 374923
    {'hecke_orbit_code': 33555904, 'n': 50, 'trace_an': 0}
  • id: 374924
    {'hecke_orbit_code': 33555904, 'n': 51, 'trace_an': 18}
  • id: 374925
    {'hecke_orbit_code': 33555904, 'n': 52, 'trace_an': 0}
  • id: 374926
    {'hecke_orbit_code': 33555904, 'n': 53, 'trace_an': 2}
  • id: 374927
    {'hecke_orbit_code': 33555904, 'n': 54, 'trace_an': 0}
  • id: 374928
    {'hecke_orbit_code': 33555904, 'n': 55, 'trace_an': 0}
  • id: 374929
    {'hecke_orbit_code': 33555904, 'n': 56, 'trace_an': 0}
  • id: 374930
    {'hecke_orbit_code': 33555904, 'n': 57, 'trace_an': 18}
  • id: 374931
    {'hecke_orbit_code': 33555904, 'n': 58, 'trace_an': 0}
  • id: 374932
    {'hecke_orbit_code': 33555904, 'n': 59, 'trace_an': -4}
  • id: 374933
    {'hecke_orbit_code': 33555904, 'n': 60, 'trace_an': 0}
  • id: 374934
    {'hecke_orbit_code': 33555904, 'n': 61, 'trace_an': 10}
  • id: 374935
    {'hecke_orbit_code': 33555904, 'n': 62, 'trace_an': 0}
  • id: 374936
    {'hecke_orbit_code': 33555904, 'n': 63, 'trace_an': -12}
  • id: 374937
    {'hecke_orbit_code': 33555904, 'n': 64, 'trace_an': 0}
  • id: 374938
    {'hecke_orbit_code': 33555904, 'n': 65, 'trace_an': 0}
  • id: 374939
    {'hecke_orbit_code': 33555904, 'n': 66, 'trace_an': 0}
  • id: 374940
    {'hecke_orbit_code': 33555904, 'n': 67, 'trace_an': -8}
  • id: 374941
    {'hecke_orbit_code': 33555904, 'n': 68, 'trace_an': 0}
  • id: 374942
    {'hecke_orbit_code': 33555904, 'n': 69, 'trace_an': -3}
  • id: 374943
    {'hecke_orbit_code': 33555904, 'n': 70, 'trace_an': 0}
  • id: 374944
    {'hecke_orbit_code': 33555904, 'n': 71, 'trace_an': 7}
  • id: 374945
    {'hecke_orbit_code': 33555904, 'n': 72, 'trace_an': 0}
  • id: 374946
    {'hecke_orbit_code': 33555904, 'n': 73, 'trace_an': 9}
  • id: 374947
    {'hecke_orbit_code': 33555904, 'n': 74, 'trace_an': 0}
  • id: 374948
    {'hecke_orbit_code': 33555904, 'n': 75, 'trace_an': 15}
  • id: 374949
    {'hecke_orbit_code': 33555904, 'n': 76, 'trace_an': 0}
  • id: 374950
    {'hecke_orbit_code': 33555904, 'n': 77, 'trace_an': 0}
  • id: 374951
    {'hecke_orbit_code': 33555904, 'n': 78, 'trace_an': 0}
  • id: 374952
    {'hecke_orbit_code': 33555904, 'n': 79, 'trace_an': -6}
  • id: 374953
    {'hecke_orbit_code': 33555904, 'n': 80, 'trace_an': 0}
  • id: 374954
    {'hecke_orbit_code': 33555904, 'n': 81, 'trace_an': 9}
  • id: 374955
    {'hecke_orbit_code': 33555904, 'n': 82, 'trace_an': 0}
  • id: 374956
    {'hecke_orbit_code': 33555904, 'n': 83, 'trace_an': 14}
  • id: 374957
    {'hecke_orbit_code': 33555904, 'n': 84, 'trace_an': 0}
  • id: 374958
    {'hecke_orbit_code': 33555904, 'n': 85, 'trace_an': 0}
  • id: 374959
    {'hecke_orbit_code': 33555904, 'n': 86, 'trace_an': 0}
  • id: 374960
    {'hecke_orbit_code': 33555904, 'n': 87, 'trace_an': 27}
  • id: 374961
    {'hecke_orbit_code': 33555904, 'n': 88, 'trace_an': 0}
  • id: 374962
    {'hecke_orbit_code': 33555904, 'n': 89, 'trace_an': 16}
  • id: 374963
    {'hecke_orbit_code': 33555904, 'n': 90, 'trace_an': 0}
  • id: 374964
    {'hecke_orbit_code': 33555904, 'n': 91, 'trace_an': -10}
  • id: 374965
    {'hecke_orbit_code': 33555904, 'n': 92, 'trace_an': 0}
  • id: 374966
    {'hecke_orbit_code': 33555904, 'n': 93, 'trace_an': -9}
  • id: 374967
    {'hecke_orbit_code': 33555904, 'n': 94, 'trace_an': 0}
  • id: 374968
    {'hecke_orbit_code': 33555904, 'n': 95, 'trace_an': 0}
  • id: 374969
    {'hecke_orbit_code': 33555904, 'n': 96, 'trace_an': 0}
  • id: 374970
    {'hecke_orbit_code': 33555904, 'n': 97, 'trace_an': 6}
  • id: 374971
    {'hecke_orbit_code': 33555904, 'n': 98, 'trace_an': 0}
  • id: 374972
    {'hecke_orbit_code': 33555904, 'n': 99, 'trace_an': 0}
  • id: 374973
    {'hecke_orbit_code': 33555904, 'n': 100, 'trace_an': 0}