Embedded newform data - 580.2.a.a.1.1

Formats: - HTML - YAML - JSON - 2026-08-08T19:33:02.214965

• 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': 2320, 'analytic_conductor': 4.631323317234262, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [29, -1]], 'atkin_lehner_string': '-+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [580, 1, [291, 117, 321], [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, [0, 1]], [7, [0, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 33555012, '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': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '580.2.a.a', 'level': 580, '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, 5, 29], 'level_radical': 290, 'minimal_twist': '580.2.a.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{5}-3q^{9}-2q^{11}-2q^{13}-2q^{19}+\\cdots', 'related_objects': ['EllipticCurve/Q/580/a'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '580.2.a', 'trace_display': [0, 0, -1, 0], 'trace_hash': 313520246712184071, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.036', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '2.082', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '5.193', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.020', 'prec': 7}, 'traces': [1, 0, 0, 0, -1, 0, 0, 0, -3, 0, -2, 0, -2, 0, 0, 0, 0, 0, -2, 0, 0, 0, -8, 0, 1, 0, 0, 0, 1, 0, 2, 0, 0, 0, 0, 0, -4, 0, 0, 0, -10, 0, 4, 0, 3, 0, 12, 0, -7, 0, 0, 0, -6, 0, 2, 0, 0, 0, -12, 0, -10, 0, 0, 0, 2, 0, 12, 0, 0, 0, 12, 0, 12, 0, 0, 0, 0, 0, 2, 0, 9, 0, -4, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 0, 2, 0, 8, 0, 6, 0, -6, 0, 0, 0, 0, 0, 4, 0, 6, 0, 0, 0, -4, 0, 8, 0, 6, 0, 0, 0, -7, 0, 0, 0, -1, 0, 8, 0, 0, 0, 6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, -1, 0, 0, 0, -6, 0, 12, 0, 0, 0, -2, 0, 16, 0, 0, 0, 0, 0, -12, 0, 0, 0, 16, 0, -9, 0, 6, 0, 6, 0, 0, 0, 0, 0, -12, 0, 10, 0, 0, 0, 4, 0, 0, 0, 0, 0, 6, 0, -4, 0, 0, 0, -18, 0, 8, 0, 0, 0, 0, 0, 10, 0, 24, 0, 4, 0, -22, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, -8, 0, -3, 0, -20, 0, -10, 0, 0, 0, -22, 0, -12, 0, 0, 0, 0, 0, -2, 0, 0, 0, 7, 0, 4, 0, 0, 0, -10, 0, 16, 0, 0, 0, 14, 0, 0, 0, -3, 0, -16, 0, 6, 0, 0, 0, -22, 0, -14, 0, 0, 0, -2, 0, 2, 0, -6, 0, -22, 0, 4, 0, 0, 0, 0, 0, -17, 0, 0, 0, -24, 0, 12, 0, 0, 0, 16, 0, 0, 0, 0, 0, 10, 0, -32, 0, 0, 0, 18, 0, 30, 0, 0, 0, -20, 0, -2, 0, 0, 0, 0, 0, -2, 0, 0, 0, 0, 0, 6, 0, 12, 0, -12, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, -12, 0, 14, 0, 0, 0, 2, 0, -12, 0, 0, 0, -10, 0, -15, 0, 0, 0, -12, 0, 4, 0, 30, 0, 0, 0, 38, 0, 0, 0, -2, 0, -14, 0, 0, 0, -8, 0, 0, 0, -12, 0, -6, 0, 0, 0, 0, 0, -2, 0, -10, 0, 0, 0, -10, 0, -4, 0, -9, 0, 8, 0, -6, 0, 0, 0, 0, 0, 4, 0, 0, 0, -8, 0, -10, 0, -36, 0, 0, 0, 0, 0, 0, 0, 28, 0, 24, 0, 0, 0, 16, 0, 20, 0, 21, 0, -16, 0, 10, 0, 0, 0, 34, 0, 20, 0, 0, 0, 0, 0, -22, 0, 0, 0, 18, 0, -8, 0, 0, 0, -24, 0, 0, 0, 0, 0, -8, 0, -2, 0, 18, 0, 30, 0, 8, 0, 0, 0, -8, 0, -8, 0, 0, 0, -18, 0, 0, 0, -6, 0, 0, 0, 20, 0, 0, 0, 24, 0, 6, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, -2, 0, -28, 0, 0, 0, 0, 0, 41, 0, 36, 0, 20, 0, -4, 0, 0, 0, 14, 0, -38, 0, 0, 0, -6, 0, 4, 0, 30, 0, -2, 0, 0, 0, 0, 0, 18, 0, -8, 0, 0, 0, 36, 0, 4, 0, 0, 0, -30, 0, 16, 0, 0, 0, -8, 0, 12, 0, 0, 0, 0, 0, 12, 0, -6, 0, 20, 0, -4, 0, 0, 0, 42, 0, 0, 0, 0, 0, -30, 0, 30, 0, -36, 0, 7, 0, -28, 0, 0, 0, -24, 0, 34, 0, 0, 0, -48, 0, 6, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 48, 0, 0, 0, -8, 0, 14, 0, -36, 0, -18, 0, 4, 0, 0, 0, 24, 0, 24, 0, 0, 0, 36, 0, -6, 0, -36, 0, 30, 0, -10, 0, 0, 0, 0, 0, -8, 0, 0, 0, 20, 0, 14, 0, 0, 0, -32, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 12, 0, -28, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2, 0, 8, 0, 0, 0, 0, 0, 34, 0, -6, 0, -16, 0, -4, 0, 0, 0, 40, 0, 0, 0, 0, 0, 1, 0, -12, 0, -27, 0, 0, 0, 24, 0, 0, 0, -24, 0, -26, 0, 0, 0, -40, 0, 6, 0, 12, 0, 0, 0, -50, 0, 0, 0, -12, 0, -52, 0, 0, 0, -6, 0, 0, 0, 0, 0, 24, 0, -2, 0, 0, 0, -4, 0, 2, 0, 0, 0, 20, 0, -24, 0, 0, 0, -16, 0, -44, 0, 0, 0, 0, 0, 20, 0, 0, 0, -12, 0, 0, 0, 30, 0, -24, 0, 0, 0, 0, 0, 38, 0, -44, 0, 0, 0, 12, 0, -8, 0, 0, 0, 50, 0, 32, 0, 0, 0, -28, 0, -38, 0, 0, 0, 0, 0, -16, 0, 0, 0, -2, 0, 1, 0, 0, 0, 9, 0, 0, 0, 0, 0, 32, 0, -56, 0, -6, 0, 38, 0, 30, 0, 0, 0, -24, 0, -6, 0, 0, 0, -4, 0, -24, 0, -24, 0, 0, 0, -6, 0, 0, 0, -26, 0, 4, 0, 0, 0, 24, 0, 0, 0, -18, 0, -24, 0, 12, 0, 0, 0, 2, 0, 0, 0, 0, 0, -10, 0, -36, 0, 18, 0, 38, 0, 8, 0, 0, 0, 0, 0, -40, 0, 0, 0, -24, 0, -4, 0, 0, 0, -34, 0, 14, 0, 0, 0, 0, 0, 2, 0, 0, 0, 6, 0, 80, 0, 0, 0, -8, 0, -24, 0, 0, 0, 2, 0, -6, 0, 0, 0, 0, 0, -27, 0, -12, 0, 4, 0, 40, 0, 0, 0, 42, 0, 0, 0, 0, 0, 6, 0, 20, 0, -18, 0, 8, 0, 18, 0, 0, 0, -32, 0, -36, 0, 0, 0, -8, 0, -20, 0, 0, 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], [0.0, 0.0], [0.0, 0.0], [-0.4472135954999579, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [-0.6030226891555273, 0.0], [0.0, 0.0], [-0.5547001962252291, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.45883146774112354, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.6681153124565982, 0.0], [0.0, 0.0], [0.2, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.18569533817705186, 0.0], [0.0, 0.0], [0.3592106040535498, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6575959492214292, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.5617376188860606, 0.0], [0.0, 0.0], [0.6099942813304187, 0.0], [0.0, 0.0], [0.4472135954999579, 0.0], [0.0, 0.0], [1.7503798979747347, 0.0], [0.0, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8241633836921342, 0.0], [0.0, 0.0], [0.26967994498529685, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.5622669317698865, 0.0], [0.0, 0.0], [-1.2803687993289596, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2480694691784169, 0.0], [0.0, 0.0], [1.4660333322756627, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.424137989832624, 0.0], [0.0, 0.0], [1.4044937663535668, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2250175801852048, 0.0], [0.0, 0.0], [1.0, 0.0], [0.0, 0.0], [-0.4390570399587614, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.05999788000636, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.20519567041703082, 0.0], [0.0, 0.0], [0.8122769321068952, 0.0], [0.0, 0.0], [0.6030226891555273, 0.0], [0.0, 0.0]], 'angles': [None, -0.25, None, -0.25, -0.29874555726053414, -0.29472809375551673, -0.25, -0.2868407666897357, -0.40699400570269634, None, -0.22125897051224172, -0.30332176022479507, -0.39261164373863866, -0.20067224477147938, -0.08036815554979418, -0.31759908521341196, -0.3926790887126704, -0.36057103081184777, -0.11905585666627515, -0.12387915348184565, -0.1260901364462231, -0.23205567602650562, -0.28522595061858974, -0.3389038422446764, -0.1834375306261717, -0.298245004710895, -0.25, -0.219032795892905, -0.20361321046112882, -0.2801236112981732, -0.1922502035000134, -0.20779063542808374, -0.25, -0.25, -0.2895203273269752, -0.16881350308530776, -0.13978391950790817, -0.3278651610091539, -0.14375716671333916, -0.2133766679112504, -0.32401386020071266, -0.18939657649346997, -0.21517461711558564, -0.27299233923937705, -0.36078641579985105, -0.20424349197669878, -0.38673395145220835, -0.29315820223170536, -0.36551237703246714, -0.30359338951156456, -0.37807457278867584, -0.25, -0.2602591743453657, -0.30110241684042116, -0.17808276300415252, -0.33210496492505365, -0.36699919759838523, -0.3199015877838946, -0.24043154316464116, -0.3639196710043152, -0.23103358162248724, -0.37364195675202627, -0.43318587969708383, -0.1647591904073225, -0.08894832838171311, -0.344917765794214, -0.2236357505382673, -0.25, -0.30219384047635245, -0.18887261301390645, -0.24152503249680454, -0.292502781466715, -0.23335402737168817, -0.028702053031777947, -0.30853759903962685, -0.2827606084164627, -0.2743027619913069, -0.2903703045214868, -0.29016404283478514, -0.2736965711387448, -0.2813023291445589, -0.28917816643363053, -0.13221060861531858, -0.15217335286613135, -0.17081246978272088, -0.3120537462944435, -0.10181015801920988, -0.3360220430354469, -0.18116024960593305, -0.2797593386608471, -0.3436970881371038, -0.12982079085477333, -0.2790083406681348, -0.31656697126563277, -0.17612848415480847, -0.1601457127256814, -0.18469290556324158, -0.2569749371345792, -0.3548530552275998, -0.4021473967301346], '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': 33555012, 'label': '580.2.a.a.1.1', 'level': 580, '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': [0, 0, 0, 0, 3, 1, 1, 3], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [1, 2, 2, 2, 1, 1, 1, 1], 'ALdims_old': [8, 12, 10, 11, 11, 8, 10, 7], 'Nk2': 2320, 'analytic_conductor': 4.631323317234262, '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': [580, 1, [291, 117, 321], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 85, 'dim': 8, 'eis_dim': 11, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 33555012, 'hecke_orbit_dims': [1, 1, 3, 3], 'label': '580.2.a', 'level': 580, '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, 5, 29], 'level_radical': 290, 'mf_dim': 96, 'mf_new_dim': 8, 'num_forms': 4, 'plus_dim': 2, 'prim_orbit_index': 1, 'relative_dim': 8, 'sturm_bound': 180, 'trace_bound': 5, 'trace_display': [0, 4, 0, -4], 'traces': [8, 0, 4, 0, 0, 0, -4, 0, 8, 0, 4, 0, -8, 0, 0, 0, 8, 0, 12, 0, 16, 0, -4, 0, 8, 0, 16, 0, 0, 0, 4, 0, 24, 0, 4, 0, -8, 0, -16, 0, 0, 0, 12, 0, -8, 0, 4, 0, -8, 0, -16, 0, 8, 0, -8, 0, -8, 0, 8, 0, -32, 0, -20, 0, 0, 0, -12, 0, 0, 0, -8, 0, 12, 0, 4, 0, 36, 0, -20, 0, 40, 0, -12, 0, 4, 0, 0, 0, 16, 0, -8, 0, 16, 0, 0, 0, -36, 0, 36, 0, 0, 0, -44, 0, -16, 0, 12, 0, 0, 0, -48, 0, 28, 0, 12, 0, -16, 0, -32, 0, -8, 0, -32, 0, 0, 0, -20, 0, -32, 0, -20, 0, -44, 0, 0, 0, 24, 0, -8, 0, -16, 0, 0, 0, 4, 0, -60, 0, 48, 0, 8, 0, 0, 0, -8, 0, 36, 0, -56, 0, 0, 0, -4, 0, -24, 0, 4, 0, 8, 0, -12, 0, 40, 0, -4, 0, 24, 0, -16, 0, -16, 0, -40, 0, 20, 0, -16, 0, 8, 0, 60, 0, 0, 0, 0, 0, -16, 0, -8, 0, -8, 0, 8, 0, 0, 0, -44, 0, -16, 0, 20, 0, -24, 0, -24, 0, 20, 0, 16, 0, 96, 0, -4, 0, 8, 0, -12, 0, -8, 0, 32, 0, 0, 0, 0, 0, -56, 0, 40, 0, 16, 0, 92, 0, 0, 0, 16, 0, -40, 0, -12, 0, 4, 0, 32, 0, 16, 0, 8, 0, -8, 0, 4, 0, 0, 0, 64, 0, -16, 0, -12, 0, -48, 0, 4, 0, 32, 0, 44, 0, 32, 0, 4, 0, 32, 0, 8, 0, 8, 0, 16, 0, 12, 0, 16, 0, 40, 0, 24, 0, -72, 0, 112, 0, 32, 0, 68, 0, 48, 0, 20, 0, -56, 0, -4, 0, 24, 0, -4, 0, -16, 0, 72, 0, -8, 0, -56, 0, 48, 0, -4, 0, 16, 0, -12, 0, -4, 0, 0, 0, 32, 0, 16, 0, -24, 0, 4, 0, 32, 0, -64, 0, 24, 0, -16, 0, -8, 0, 4, 0, -24, 0, 84, 0, -8, 0, -28, 0, -24, 0, 24, 0, -8, 0, 0, 0, 8, 0, 68, 0, -80, 0, -76, 0, 20, 0, 100, 0, -48, 0, -8, 0, -32, 0, -24, 0, -16, 0, 32, 0, 64, 0, -48, 0, -24, 0, -8, 0, 24, 0, 32, 0, -64, 0, -28, 0, -128, 0, -32, 0, -80, 0, -84, 0, 8, 0, -16, 0, -80, 0, -64, 0, 48, 0, 4, 0, 52, 0, -80, 0, 8, 0, 124, 0, 0, 0, 40, 0, 16, 0, 72, 0, -40, 0, 0, 0, -32, 0, -80, 0, 32, 0, -36, 0, -40, 0, 28, 0, 48, 0, 32, 0, -32, 0, 12, 0, 0, 0, 28, 0, 32, 0, -48, 0, 24, 0, 20, 0, 48, 0, -68, 0, 12, 0, -48, 0, -64, 0, 32, 0, -40, 0, 84, 0, -16, 0, 28, 0, -16, 0, 8, 0, -120, 0, 20, 0, -8, 0, -24, 0, -80, 0, -68, 0, 16, 0, -80, 0, -24, 0, 216, 0, 80, 0, 20, 0, -32, 0, 20, 0, -40, 0, -96, 0, -16, 0, -68, 0, -120, 0, -12, 0, -12, 0, 64, 0, -32, 0, -64, 0, -104, 0, 4, 0, -24, 0, 60, 0, -32, 0, 32, 0, -88, 0, -4, 0, -16, 0, 48, 0, -16, 0, 80, 0, 72, 0, 116, 0, -80, 0, -56, 0, 24, 0, 24, 0, 24, 0, -36, 0, 0, 0, -100, 0, -8, 0, -20, 0, -16, 0, 32, 0, 112, 0, -32, 0, -20, 0, -12, 0, -56, 0, -88, 0, 8, 0, -48, 0, 80, 0, 120, 0, -8, 0, 8, 0, -48, 0, 56, 0, -48, 0, 108, 0, -40, 0, -20, 0, -24, 0, 32, 0, 44, 0, -32, 0, -108, 0, -52, 0, 96, 0, 120, 0, 28, 0, -16, 0, -24, 0, -104, 0, -16, 0, 16, 0, -36, 0, 16, 0, 104, 0, -76, 0, -44, 0, 32, 0, -32, 0, -48, 0, 20, 0, 8, 0, 48, 0, 96, 0, -16, 0, -16, 0, -40, 0, 64, 0, 80, 0, -212, 0, -28, 0, 16, 0, -8, 0, 104, 0, 0, 0, 192, 0, 0, 0, 12, 0, 8, 0, -80, 0, 96, 0, 72, 0, -4, 0, -36, 0, 144, 0, -212, 0, -48, 0, 4, 0, 64, 0, 44, 0, 16, 0, -8, 0, 84, 0, 0, 0, 64, 0, -176, 0, 84, 0, -152, 0, -88, 0, 0, 0, 32, 0, 4, 0, 88, 0, 56, 0, -104, 0, 0, 0, -24, 0, -36, 0, 16, 0, -136, 0, 96, 0, -8, 0, -28, 0, 0, 0, 112, 0, -24, 0, -24, 0, 72, 0, 72, 0, -8, 0, -48, 0, -8, 0, -64, 0, -40, 0, 208, 0, 92, 0, 24, 0, -116, 0, -24, 0, -8, 0, 8, 0, 4, 0, 152, 0, -60, 0, 8, 0, -8, 0, 16, 0, 108, 0, -24, 0, -96, 0, -16, 0, 16, 0, 16, 0, 4, 0, 80, 0, -116, 0, 8, 0, 116, 0, -32, 0, 88, 0, -28, 0, 4, 0, -8, 0, 32, 0, -88, 0, 196, 0, 48, 0, 20, 0, 16, 0, 116, 0, -120, 0, -24, 0, 32, 0, -4, 0, -24, 0, 160, 0, -72, 0, 36, 0, 96, 0, 92, 0, 52, 0, -72, 0, 68, 0, 88, 0, 96, 0, 40, 0, -8, 0, -4, 0, -16, 0, 68, 0, 272, 0, 24, 0, 160, 0, -72, 0, -112, 0, 136, 0, -72, 0, -12, 0, 48, 0, 112, 0, 56, 0, 24, 0, -24, 0, -16, 0, -152, 0, -84, 0, 76, 0, 12, 0, 144, 0, 36, 0, -64, 0, -16, 0, 104, 0, -8, 0, -32, 0, -76, 0, 16, 0, -48, 0, -56, 0, -24, 0, -88, 0, -88, 0, -148, 0, -80, 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: 10357
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555012, 'source_is_minimal': True, 'source_label': '580.2.a.a.1.1', 'source_level': 580, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33555012, 'target_is_minimal': True, 'target_label': '580.2.a.a.1.1', 'target_level': 580, 'twist_class_label': '580.2.a.a.1.1', 'twist_class_level': 580, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 10358
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555012, 'source_is_minimal': True, 'source_label': '580.2.a.a.1.1', 'source_level': 580, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795189376100, 'target_is_minimal': False, 'target_label': '5220.2.a.n.1.1', 'target_level': 5220, 'twist_class_label': '580.2.a.a.1.1', 'twist_class_level': 580, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 10359
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555012, 'source_is_minimal': True, 'source_label': '580.2.a.a.1.1', 'source_level': 580, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288297744, 'target_is_minimal': False, 'target_label': '2320.2.a.c.1.1', 'target_level': 2320, 'twist_class_label': '580.2.a.a.1.1', 'twist_class_level': 580, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 10360
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555012, 'source_is_minimal': True, 'source_label': '580.2.a.a.1.1', 'source_level': 580, 'target_conrey_index': 349, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014535981992788, 'target_is_minimal': False, 'target_label': '2900.2.c.e.349.2', 'target_level': 2900, 'twist_class_label': '580.2.a.a.1.1', 'twist_class_level': 580, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 10361
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555012, 'source_is_minimal': True, 'source_label': '580.2.a.a.1.1', 'source_level': 580, 'target_conrey_index': 349, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014535981992788, 'target_is_minimal': False, 'target_label': '2900.2.c.e.349.1', 'target_level': 2900, 'twist_class_label': '580.2.a.a.1.1', 'twist_class_level': 580, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 10362
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555012, 'source_is_minimal': True, 'source_label': '580.2.a.a.1.1', 'source_level': 580, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288298324, 'target_is_minimal': False, 'target_label': '2900.2.a.c.1.1', 'target_level': 2900, 'twist_class_label': '580.2.a.a.1.1', 'twist_class_level': 580, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 10363
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555012, 'source_is_minimal': True, 'source_label': '580.2.a.a.1.1', 'source_level': 580, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 54043195562009664, 'target_is_minimal': False, 'target_label': '9280.2.a.m.1.1', 'target_level': 9280, 'twist_class_label': '580.2.a.a.1.1', 'twist_class_level': 580, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 10364
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33555012, 'source_is_minimal': True, 'source_label': '580.2.a.a.1.1', 'source_level': 580, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795189380160, 'target_is_minimal': False, 'target_label': '9280.2.a.n.1.1', 'target_level': 9280, 'twist_class_label': '580.2.a.a.1.1', 'twist_class_level': 580, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1078100
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 2}
  • id: 1078101
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 3}
  • id: 1078102
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 5}
  • id: 1078103
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 7}
  • id: 1078104
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 11}
  • id: 1078105
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 13}
  • id: 1078106
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 17}
  • id: 1078107
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 19}
  • id: 1078108
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 23}
  • id: 1078109
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 29}
  • id: 1078110
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 31}
  • id: 1078111
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 37}
  • id: 1078112
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 41}
  • id: 1078113
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 43}
  • id: 1078114
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 47}
  • id: 1078115
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 53}
  • id: 1078116
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 59}
  • id: 1078117
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 61}
  • id: 1078118
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 67}
  • id: 1078119
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 71}
  • id: 1078120
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 73}
  • id: 1078121
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 79}
  • id: 1078122
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 83}
  • id: 1078123
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 33555012, 'p': 89}
  • id: 1078124
    {'charpoly_factorization': [[[-8, 1], 1]], 'hecke_orbit_code': 33555012, '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': '580.2.a.a', 'level': 580, 'portrait': 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hx7+FogrGFh2jA/lbDSDegOBaPYY3Ug2DJlWO4YTpxX1DyfLbOwYyFk89yITXNjtsyN2bHZsmuL4qqdHnXV5OiJNvc+6fPwgZjHj0ckqsd3vazD215iqas5Dhyf5ugZzekLCedScB9astx8zSK/9IOr7Jyf4syFaS6s1ljueKx0JGu9hG4/oT8SHDy2zMFT3asePXD+5UdPnr3o2KlzX3zRa98e3n3bJ59rSPyNbn+vGXx1tcMotGjFr931yOGX/MLvfFy+6yWHX/Kv3nZGL65uZqXTZrnTYLnjs9zRLHdgpZOw0olYXks4twaHlwUL82v8xx9e5gWXNzh5fpYzF5qcWdKcX7acW4o5tZhwoRczPTvipdf1eeGV4Ms6gQo4v1Lj7JLm3IpgMIY4NtR8Q7OWMDMVY4Dj52K6fdi92aNZH2OtAOHTHxp2bRmzvKbBOimy1odxDBbLSidk+yaP3lAhlEWYMe2ax66tI9YGguNnNInRzLUlrZog8CCOBYOx5NyK5Oyy5fxqTBCMwIt50dV9XnKNYKFdZ3m1zcnzAWeW4PxSzPmVmNMrcHjZ8vyrl/iVH15ly3SbE+dmObdcZ3HVZ6kjWVlLWO1GrHYTVnqGpZ7kZBfWVrr89v8+jH/gDfVv6Nl/arzGVd+QwvxCYjxq9fZzDZVnvP29ZfD3f/ATvPTFN/Fv/vW//tWPfepr//v7P/LVS5863rno0Jm+fOm1Ay7ZlpAYjbUKax17YyUgAYEQFi0svoQzy3XuPyS5bs8KV+4c0aiBpyW+p/B9TbMuaXiSQd9j/7EaX37Y5/iFMd04Yv/JMZvnVnjzS1e57tIez7+yw7GlmKWBoBGMOHLG0uk2ufYSydooYe8xRauheeo4XLbNMgoTRomP1hEzLdh3MkDpBE/GaA+GY8kLrhwwHEiuuzShO0w4fqbFxVsUzUbI2tiyaXrAar/Lx74Gjx5NePzoiN3blrn+ii4zsyFvelGP73mFZc+WFkk0zdHTUxw+5XHynOHUhYhTFxIOXxCcWIt43uWL/Mcf7rF5epqT52Y5v9xgcc1nuSNZ7SR0ehFr/YTVvmWlLzg/UKx2Y26+col/9t2LsqbERefOnLy4P4hvqbcurjeaM195/MFP8d//8M+fa8hsePt7yeB//rFP8oIbd6pbv3rg3x89fu4XH3v6uDq3ErI40pwdGK7bfZ7fevciN+xpcH55huVOg5VOjZWOx0pXs9qD1U7CajdmpRez1IGTqwJdH/Hia1b43leEXLypyVq/zYWVOosrPksdwUrHSYTVnqE7NHTHlsEoZq4dsWuzAQSBZzl1wUPIgN2bFBdvs2zbNOD86pjHDra46TJLo77Kk4dmaTVDwtBjbsYwHMFVu0b82demuWJnzHhsmZ+SRMmQVi3gqWMj6l6TGy6PefxIyPlln+1zARdvhV1bQpSKOLUEvmcRwrJ7c8xMS9IbBvQHHt2Bx0pXsbIGyx3DSidhqZNwrgPLo4Rd2/t87yuXePGVmprX5uxSm6XVGktrmpWuYLVjWOtFrPYS1vqW5T6c6ynOr8W84IpzvOfdy1y2vcFyZ4qVTo3+qE2ttSfx6lt+9Xzvyl+Zrp1IXvHq736uobPu9vcK4IcOHaBWq9XPnzu968GHn3zXoSNn/vPegycZRZLBCNaGjlHO9GKef8k5fvPdK1x/SZ0LqzMsrzVY7dZY6XqsdjWrXej0DGu9mNVezErXcr4jONO3IPq87WUd3vQCwyVba4Rhg9VOjbW+T6enWO0LegPBaGwJY0uSgJKWwIN6YJluWzbNRmhvxOGzIU8cCjBxkzfcEqK9NR7aO8VFW+EL98e87NqAC50hNa2Ik4jZGYgjD+3FLC83eOmNXb5wT4uLt8KDB8d4NHj9CwyxGPLE4YSjp2po6bN5RjPTFNQDge8LlIDYQBhZRiH0Bpa1vqE3MKwNDMt9yzBJ2L1jwJte2OFtLwnBtFhem+LCSt3p7a5mtQNrvYROP2YtBffKAM52FYvdhOdffp73vPsCV++us7g6zVqvQacf0OtrZ5HWd+DXtvy7zduu+Itdu3acGI1GwyuvvOK5hlJ++3sD8GNHD7GwsOAfPHTwRw8fOvTeRx55TFxY6snByNAfGXojS28Ia0PJhaHkbC/iBZde4Dd+YpkbL62xtDbN8lqT1W7AWs9ntadZ6wk6PUunn7DWi+n0Dat9y4We4GzHMDM94Due3+NFV8bs3qxo1z26vRqBJwFFGEuMERgLgxEgDDOtEQdPW4wNue3BJuNBnUu3+7z4ugGRWeOOh6e54TKPg+f6dFbbvPC6AV95KGDzrGXvccs/f2uXvccCNs9Kvvyw4sVXKVYGXY6cnOWGy0PueGJIPG7woqt99uwcMYz7fOkhBYng8ClNu6HRAgZDibGCxFiiGJAG7Rs6fUuzFbFz65iXXDXgO26KmWvWOL8yxfJandWuOzarXUGnD51eTKcf0+kndAaWlYHkXE+w1Iu55YpFfvUnFrn+4hqLa1Os9Rp0+wHdgUdvoOkNFN2+YBQH5rIrrrN79lz605fsufSDS0uL4RWXX/5cQwr4ewLwOI5kOB6++cF7b72004vfc+99D3pxIhhHMBjGDEYJ/ZGhP7L0hoLOUHBhKDnTiXnRVRf4tZ9Y5KY9PmvdKRZXW3T6NdZ6Pmt9Taen6Ayg17d0B7FzB4aGzsCy2Bcs9iFKxlx/2ZAtswn9geWNLxxz0RZDnEi0tIQR3P5YjRMXamydiXnycA1Mgyt3KG68whDUBjx0cMDiUpNrLmrSnl7lnsc9br6sxvJgjdXVNlu2WO7fq/iBV/d5YK9mxyaPpX6H1ZVZbrxqwD1PJszWp7nm0j4XOh3uf3qaum7y/Cssl+8agezz2FHBptmI84sRdzzmMYoUUkJiLBdtDfmOF4b0+optM4YbL4MwbLDSabDSCVjre3QHik5f0u1Dd+Cckt4goTswrA0sK0PJ6a6gMxzz4ssX+ZUfX+X5l7mLo9Or0x0E9AYevaEDd28o6Q8F/WHCOEy4/obnR4lRP/vOt735UKNR/6zne+a5xtZznslM4j4mGfzwuZMP/tbS+QOzZ8+tMt1SDEMXKFqjsPlvOwtQCIuUFik1DxzYzC/8keatL17h+169wsXbQ84ttwn8OvXApxF4NOuaXl3SGnpMNbW7YIYJm8eG4djSGwWsLNY4ddISxobT52KCwAICX1m0FAyGCoFHPNA87yLBnm2WXdsHjJMetz6g2HdohtfdFHDjVat86FaLLxpctH3A4/cotk8r5tsDaqpOGHlc6EGzptmxWfDovpAbL6/zihuW+JPPDfG9Fq+9xeIFA756f8gX7mvy9NE6l2xrcNHWhIWZkIvnI669KEEpg1YWsDSCgIXpgDDy6A18njzouRKFoaI/kvSH0B9Z+gP3t/eGCf2hpTu0rA1hcaA4v2ppTHX4F29Y5LtfPOb6S5qcXWrT6dfo5eBW9NN/czgWDENHAKPQcsed93uN1uxvzcxuXnnVK275V2udwZ9MTzWeU3w9pwAfjwbEifjx00fu/bWj+788Gw0H1IMAi8TVQAhAgXDPhAApXCeNkhYlE3wpefzgAo8caHLwzAXe+pI+L7l6xHSrzUqnQbNboz306Q+0OzkjyXCkGYw1o7FlFBrCyBJFljhx9zD2sQakEnhaUPMF0y3BTAu2zBt2bB4wP9Phiw/BnY94SDPF627yeN6VPe5+OiIctXnx8wSd4ZALy01edLlhfnpAXQeMYsViN0IZwfMu1zRaYx7eX+PlN07xwut7PLxfgZ3ipqt9fuy7VvjKoyFffqDJ3hM1di0otszWmWk1mGpBPQBPW5QEY2HvUUGSCKJYEMYwjnB/4zhhODaMxobByDAYG/pD6I5hsS+50IOxGfGaG1Z480s6/OPXGuK4zbmlJt1+jd7Qpz/06A8VvaFiMBIMRoLh2DIaGYbjJP+3zyye5eT5W2ejOPkv3/2dr9D9weCPmo3nDuTPGcCj8TJSxj929vidv3bq8Fc3xWGPet0DkUAKbYREIBBCIYRASlJwg1IWrSyeMtQ9wdKgzke/toOvPtLlZdeu8YOvWePai/vMTTdYXmvQGwYMhl4KbOXuoWAcSaJYEMduqbfpcqGkRWuo+dCoG2ZbEds3DYjpc/B0xMfuqHHkZJPpoM7NV2tedF2X+w90uO3eNrdcVmPX1gF/9jWBEgHtVsRaf4yxoAQstAd0ez4mrvPml13go19osOd8jTfdMiCMlrnjiTmipMYLrt7Em27uctnODl99eMDjJxs8dtRnx6xkti1oBALfcxehFCCExVgwxhLF6cUaWcaRu5BHIQxD6I0Eq2PBSg+EHnHDFWv84Hes8bKrE+badVa7DTq9Or1BQH/k0R8WK8FgLBmOYJBeOKNRwjA07kKKwKBZXOrypx//8qZhyK9995teas+cX/njbZtn/98B8O/7mf/On/9Oi3NHPvMjit57+otPz/uqB7UAESY4PSLICFwIx+ZCSJTUSJmglEiXZ4OnLIG21LVgdaRY7szw8dub3Pdknxdfv8YPvnaNG/Z0mEvqxHHAYFSjP/QYjjVhpIhiSZxIEiMwVrgsqLAEvqFRiwn8EN8bc3p5zOcelBw65XP01AzKBOzZ6nPVxYqbruyigkWeONxi+3SDay6BLQurrHTbXLtdEhvLFx8IGA8k082Y179gxGfviDhxrsUVl3qcXRvx1BGPnZtnuP7iRe5+vMc9TwnGoc+VF89y5c6AK3f0OHx2hUOn4YF9DQ4eadLQgkBLmoGl5oGUjhisdRdrnEAYQ5gI+mNBdyToRhCaGGNHPP+yLj/4HV1edm3C1tmA0WiK5U6NXj+gP/IZDDX9kWIwUk6OjCTDsesbHY0T5/GPHbiHoWEUWsYhREZx5HSH3//I1zc9eODCe7YsNOLvePfXP3Tbe+5CTP/bf7gAXz3+B8zsPoJWF//jWy598nff/pJD03VdJ2nUGIXC6WphEYKUtXFsLQVKCbRS6aNBqwRPC3xt8D1L4FkafsJ0TdAbe6x2Z/jknW2+9tiIzTMD3vXKDlfuHDEa9rnmYsvOLYpx5JEkRZpfYJHS4OmE4+ctR88J1oaGz9zd4PTSDDb0mKkpts1pdm/RXLIdrtnTxcgl3vfZJisrU9xypeaaPR2++phAxB6bZiTNRswg8pFWgpUo7dMZCc6vCK62DV55U49vPFxn27zPLdfM8r981xIf/EKPB/Y36Y88ltdaXLytzhVbB7zg8h5vf3mPMysrfObugOVBwPGzHqdP+3hKIKVb9Yy1JAYiY0liw8xcxHVXDxiPI67cOeYdrxyzaUox2wqIohpnF2sMhj6DsVvlhjmwU609FozGuJVgnDAKDeMwSZnbpiCHUSQYRIJ+7HH8RI8DZ2+f/0/vrv/uF39tS8TUez7yv/+nP+f/+qXv/4cH8J/6pfcxs/s14rEHPvvOJ/bte//h4082akGMpyAx6RKLW2ZzrS2dVJBSoqREK4FW6aMWeDrB1wLfM9Q8Sz2yNELLVC1hpi4YhJJe2OToqSa/8ZFZMDEijrnpugEXbwmJYzDWYK1L4kghkEqgPZ/9J3z2HqrRrGlavmS+IViYk2ya1WxbUOzemnDF7jUSscx/+1Sb4yemueVyjysvShjGPe59ImC67jE3ZZluhTTqTgoZI+mMFCt9y3InodOv89Jr1nhw74B9JxTT7RovuHqan3jzMr/3aXj4UJP+0LLW05xfabNlvsGmmRG750b863cOaDc6PH4U9p+UeJ5FKYsQBrDufxbiGC7akvDia2OSyCOKA6xtMAo9zi35DMduRRuFKpdvw1AwGgtGoWPtceiysuOxYRwaRpFJ38vuMIwEw0jQiwSroaAbGabpc/jIkenf+KD3fvR74t/8d7d//L/8i/9i1ey/+YcD8H/+qx9j587t6l3/6va3/eafnfnQQvB4baWvOHIu5IZLBxgjHHNLg5RBGkB6KGVRUqGUSvW2xNNOc/qeYuxJxqEhCBPGkaUeGcaRIQwt7RjGkWEcQxgLRpFknARESY19h5o8tg8Sa3HQdtrYk+ArV/PRCuCardCuw1RTMtNSzE1rNs3Cri1jti6sEdkV/tunpjh8ZIobL1FcskOyZ8cqX38q5vzyFDddLJlpG2r+kEAGWCWIE4mwljgJWe3XOL/sceOVdZ53eY+7H66xeUbQqLW48XLDv3jbMr/7acNTp1us9Q1rPcXiqmZ+uslMu85Me4p2I2KhGbH7xpDAi/F0jFIJUrhgwuIuqihSXFjURLEiihVhpBhH6WMoGUeScSgZhZJx6CzaUSgYh5Zx6I7rOEwIw1TTR+79UcraowgGkaAXClYjSX8cY8cDrtjd4+qLxpxderDxphf2P5QsXWwWe9d8auXEHySzu9797Q/wX/ovH2Wm6atjR4+84+z5pT+5++HVWhLvhmTI+dU1fuUnO1y1o4eSCVIZpLQo5aGUcY/S4imLpxWetnihxPeEOwmeYOwrwsgBPYosYZw4VyQu3ROIE0uSGBLjVgxjyMGdSSEtwfMg0IJaIGgEkmZDMdWQzEwJNs3G7N4yoNVc41PfCLnjiVnWltpct0uxe6vHZTtHJGKNLz7QoOlpFmYUrcaIJw7D00c01+60DMaK6y+LuG6P5dzZhMVVn+GowRtu7nHX40MOnlY065LAb3PtJYZf+ZFlbn9qyGdvn2e5a9m9KWG1o5luK6aaHq2GR7NuqQWGwDcEOkErJ7Vk2lppLS5hZQSxkcSJII4FUSwJY0EUScaRc17CSBBGljCEcZQQRoawRBzjqHx34B6m4O5Gkk4Eg3GEjPrcePEq//ZHl/nul0aEUUCne7h24Xzzw8I7/k9Gyfwnzhz8YLLtsh/99gb45raRw1Hn+06fOP37B/efqE01A7qxTxz5/PU3PMKx4h2v6vHO1/SZaSf0pEHLJNXZTg97WuNFmkArRp5jmrEnCX1BGAl3ciJFFEMYSecgxIXtFyeGJHHuQmJTpyR1SzJ3Rkkne3wtCHxJLZA064J2wzLdMmyeHbMw0yO2a3z8LskHvzDHplqN63YJdm31uGibYffWVT51r2VlpcaVWxQzbWg1Is4fk1xYDfAvhnEkWJiSTE/DwaOW1a7h3FKNyy6q8eqbenzuzhpzLQh8HyWnuXaP4CffdAFPXuCv757h6dM1NncjNk3HTDUVrbqiUZfUA03gQ+CB1s5hkgKkKIEcd2EnBpJEECekQIcosYQxRFHiSCEyhNljZFLbMXNlUgsydpKkHwm6saQXGcJRyFTQ5XvfsMw7X9nnO26ydHptRuMaozBg3DlWM17j/aFoaWvrf47jmW9PgP/FJz5DkpgfufPeJ3/zxPET7YWWoh+6xElXBoyl4osPeNz7VJ2zq8v887cPmGnHjIMa3UENrXw87eFpDz9MCD2NHzppEkYule4YRzgmSlkpjiFKIEmck2CMC7iMsVkPZwpuB3AXuAo87QBSC6BRM7TqMdOtmIXpIfMza3xjX8iHb6uz/+g0F0157NkCO7b47NgMV+zqMoi73L+3TV15LMwoplsw3RozMxXj+9olriwMxz4r3Yi1gaXTj7mw6rNrS4sXXnmB2x4YsP90m0YQ4SkfIabYs13xQ69d4vlXXODDt7W4/8lplvuaTe2Y6UZMoyap1xSBJwg8iee5WEUpUvvQodzieliNIQd6nJh0dUutxdgQJw7ccQRhbIt75FyZUexIZRAJurGgF8NoFGPiIXP1Lj/9PSv8H9/fpxH4dHp1B+wwYBx6DMc+3aUz7Vg1/ltr9lr/vrs//8EXvvQ7v/0AfmGpg1Lyx9//J5/6tf2HTs0FnsDlBi1KgBaCrvAYSsnaWPObf+Gx9/Aqb355n1fe0GPzfEivW2c4DvC9mMD3GIeawHf2XgbwKJKEsVt2ozj1tBNS64+UuSXGUoDbfZGUuUErlzDxPUvNN9RrMa1azEx7zNb5Luc7A977GY8vPjjLymqTSxcEuzYJtm/y2bFJcPG2Edpf46N3aI6cbHL5ZslMSzLVTJByzOlFS6AlUoC1gjDS7N7U5QESugPFatdyfqXO5TtqvP2VHT7xVZ9j5wM8HSGEh7FNolhy08Wr7P7+Ll98eMCffXGWh4412T4jmG8mNGsJNV8QeALfc7GKVrjAWYq8JsPiLjJjcU5L4gCfgTxOnKRzYIcwcbUuYZY8igXDGHqxpBfDMDQkgzE75nu84sZV3vLyAW+82aBFg9W1GuPIZVfHocc40oxDTZxoxqOTc1u2bH/P1Te9VcXR6h9pb+bbB+Arq2v4vv5f/upzd/za3fc/uSmMLUoKfO0A5uw4gScFfSnpyRqdUPPRr9e4/fEeN17Z5ftfO+BNt3SYmw4YjgKGY5/A8whjjzDSeaAUx4ookcSxJEoEcSxJEkFiRKG1jbu4bApukS7dSjnXwVMG3zMEfkI9iGnVx8xP9xlGQ776hOVjX5/i/ienmfE9rt1u2Tor2Tzns21BsmNzyCXbV3n82JDP3LXAlNIsTAnaTUG7EdEZJHzh3hot37lDxsJwrHnzi8d8/j5XE9PpGy6sanZsavHWl/S5f1+PvQd9mkGMksKB3DQYhU7r/9CrO1y+9QIfvb3LPU9Pc2K1zpa2YKpmafiGmjb4HmglUJI0Qeb+7qz8yKRSzZhihYtToDuCgCgRREkK7EQwigWDWNBPcDFPGNKsD3jr61b4vtd2uenyhM0zHsNRk27fJ4x8xqFHGLlz5kgp7YtVCauLT246dnDLr+285BVmOOh8oN741o+V+5YCfGVljdGoj5Lih7/6tbv+661f/OrcqL9GI1AkpmT/CZAxaAG+hEBCT3oMPMWpbsCZ+xrc90SfT1zX4x2vHvL6F4+YnfYJxwHj2B2wKNZEKdDjRBEnacImKQBubMrcpqgpy2xIJV0dh9YG30sI/Ih6ENKqD0kY8pWHJR/52jRPHp1CRAEXzVi2TlvmpxULsz5b5iXbFiJ2belycrHHH3y2STyus2OHYLqlaTeh3YgQXkh32GS6ZRFCYC1EsWQ2UMQmphf59AYJq13F6cU6V1/S4qf+0Rrv+fOA44tNtIrSC0MTxzVGoWTLXMBNl3a57pI+Tx0/zce+Xue2h6Y506nTDBQtH5qexdcWT4GWLp0vRLW6zgDWuIsuMYLEQpwI558ngjBxSaJhIhgmMIwtcRxjojFztSFveM0a73pNj5ddGzFV9wijJqudgHHkE8U6BbYiKoHbEZFLrPUv9FlcuWNTb+D91z2XvyA+f+7M/2i1mzS+hUD/lgJ8MBjSaDTfcu99D/3el277ans87DLV1CkruBrmSBTBj5YWnThN7itDPREMlM8g1lwY1/jr+5rc8eSAF3y5z//6PT2u2tVl07Si3dCEkU8Ye8RxAfIkA7iRGCux1kkCmweUaapfWRfE6pjAj/FUSHcYsdiN+J1P1Th6YYaH905jjc9cXbBp3jI/JZhrK+amPTbPSbbMxWxfGDA3vcoXHzE89PQ01+0QzLQkrYak3TA06yHCGxMEGq3c51sLSSIZjjXDUURsBL2hode3rHQ9zi23edEVfV549Rof/XKN+opCy8gB0mrixCeMXI/n/HSN5+/p8/xL+zzwijMcX5R8+LZpLqw1OLUc4CtJ0xP4mQyTNs83uJRnKlVwTB5bQWwgMoJxAqMYQmMhiSGOkGrMtpkh1+125+PmqxLadU0cN+n0HLDjFNhuhdWpbHTgjiI5sdpqhp0BK/ffPmfQv3flVTesjsfDz3wrMfktA/jRw4fYvn2L+tCH//zSffsOtLudDo26JowtKs4ykhaZCFRsXa1HAjoReMrix5ZaImgowVAJBjpgmHgsh3Vue2iKbzw9pBmM+Sdv7LBjLuaibUNedE0PLVyLmBBOrrispKuVtrbE3FiEtCjhPHNLDDLmqaOSB/dpPnd/i6dOtAjjBi2tWKhbZpuWmYZ1PnhbMzulmZsWbJmN2bYwZOvCKnc8OeZ9n9vE1mnNQhvaTUW7KWg1YurBmG8cUIxCjdd0oLJWEMaSmlbccPmQ+56YdoVPw4S1rsfSWsD5pRl+6k3nObW0zH2PLuBJQEQYyAE0DiX9oWamVWO63eSFlw94xXUDvv9Vi+w7afj8/TXu31fnwJEmsdCMx4pBpFB56UM58ExzAtYQG4s1Bk8kTPkhNSJeeGOfi7eO2DEf8YOvH1P3Jc26Rxg26PT8dCXVKeGo3Gt3d7nuHqcFYXHsJNBo0OGxh+9qLy+evfQ1r3+nOnToUHLppZf+/QH4fY8/yemo4XefeOBH59r2N+OwS7PhEycuqyYFaXmrS8drKVAxTiIkFh2DJwWesQSJpaYEjUQwNjBKPIaJxyCp0esl/NePzmDjiM0LI67eNWJuKuYdrx6ya1NIFIlUb0soMTep/pTSIKTgk7fXefxwE6E1x880OH2+Qa2umAoE001Lu2Zo16BVF0w1FO2WYqalmZuG+emYzXMjtm/qktg1PnlXm2G/yWU7LO2GotWQtOqGVi3G80K+eF+N8UDibXLdoplEadYVb3jBkDsfMfTHkv4woTvQrPU055YbXHVxi3e8rMvDTzU4vtJCSQNEqV72iBLFOHKJmf5I0+n7tOoNmvUxV+0YccsVI05e6HDs7BraS3jsiOYTX28glCtcY3L+oDWAAWuJwoTdm2Pe9eoh8+2EK3ZbNs9BEnuMwxZx7LHa9YgjRZToNA5ygM4AnkmRaJ0BINKfkbpegijRHD2xAn74mw88cM/gBS/Y9MHTxx8Kt+9+/t8PgO/dfxyhzl9uhqfeu3LiQelpn8QHEZlcd7vspEVLiFM2j41Ax04nRonFS5wGDLSllsqa0FjCRDA2knEiCY1HZGCx3+brjxssCX91vxvZgDXpPcvipRaZyCoSJVIp4kgjjcbTklYAFy9Ymp6hERgaATQCQbMuadWdHJpqSWbaMDcVszAzZttCj4RVfucva9z9xCb2zMFMI2XvhqRVj2nUQ5qNIfV6g0BJlEw1OE4ORJHHaCgYjhN6Y+W6lobGtcw1fU6dn+KlV4/5F+88z299QnNiLUAIg7URJrFEsUcYSUZjV8baGmqaNZ9GvUYjaFALIlr1kJsuC/G9iJsvi/nB1wzQKk6TQAYhbFWUp5LOGIkQksBTgM9orFle1a5uJ8linvQeyyIGSgvXMnBnwM4SS3EatBaJpjSQjVzr3dfvuE9ungvfe+bo2l3d3vjJbwU2/6cB/um/+jSb5+v1h544/LYnnton5ptuCfS0KweUQqZ1Jc6xiGOLVBaVgEqcNowT0InrfYyziD5Jo/ossjeieG0EoZHEVpIYTWQCktT2Kt/yLGVqS2oJnoJa3VLTlppKCDwINNR8Sz0Q1H1Joy5p1LQDeFMw3TLMtmPmpsdsmu2zbdMy7/uc4c9u28zOacV8y9BuKloNRbMBjXpCqx5xdtlw+GxAzXcXNGSVfoJRqLl4i2HL/IjuyGc4simLS9Z6mla9RqsxzQ++5gJHzp7j/Z/ZjpYaiyExCbGxRLFmHCqGoSuKGtQkjZGmHnjUg4ROz8UYvpe4hJmXoKVrlJAySQvb3N2Vrrhz5kAu6Ji0ytK4uCZJJMZIYlPEO3EiSgF+9rz0GIv0/QzcpD/PEk24ljsEm+d8ThzdJ+KIt9Xblx7+wuf/avim7/yfa2T+nwb4ZbuUv7p2/ucJl35+pm6kxXMWnJSgBVIYhHQAT0xay50IklSexAZ04vzqJEs+GJu+tvl7xfOiUs55uSIPlMqaG0iDWZsGtAYtSWtawFMCT1vnG2tBLZDUfEk9UNRrilZd0mpYppoJ062Y2faY+ZkBuzYvc/+BMR+9fRsztYDNLUO7IRy465JmzdCsxbQaY+7fD4/ta3Dpgk11b5E2H44VN19huWzXkAeenGYwtgxHCf2hTkHu0ajVqdem+d6Xr/DYgQvct3cLWIUxiSuHjS1xZPN6kuFY0xhZ6jVFzTcEvkfgJwTaoHWCp112WCmTFrG56k2ERVDouSI4dyXEJnOkTGa/lqzYDNjGgbZ4TQ7s7O4IzAE7Sa3I7LkxFq0Vx89YudI//+/nNtV8L2j8KhA+ZwAfjQYyHA9/+fBtf/6vhr1z/lRLk5iS9ZQIEikduKV1B0RZVJpUSJRFm/S5cQ20JiF/nmQZN5tl3iwmzcRlyQprLaXMe2XFzdyaLKGjZJqxVJSKtlz2L/AVtUBRDwSNuqBVt7QbCVPNmOnWmLmpIdsWVrlv/5Bf/pPNnDg1zSXzhukGtOuKZl3RrEGzllCvRfjeiM7IFYt5ysUf2S0xjuGi2KddjxjEhkFaZz0YJfQGkk5d0egF1IIWF22J+JUf7fAfPiS5d+9mLApjDUliiJOYMDaEkWIUKoaBpD5W1HxJ4FsCXxFog+c5v18rm9b5pKtqKlOEsNUG3TS1b1MSsWktS5ICPjHFoyMjmT6KAuDp8yRnbfLV2SXhCiIz1mVKE2M5t3jKv8gEP/vun/hhbzgY/Lt6o/F3Tuf/nQHe7/WIo/hXH3n4G//y1KlTtcCXDrjpH2wMJNJdsUoKYpUB2WKkA3eSgttkz43AGJunkU3u0YI11nWRpyWg5TsTAE9ldxpYOoniasqdJNJpK5qnJYHvBgDVAjeSoR5YmjVDq5HQbkRMtUJm20O2Laxx374B/+GD8+w/McvuWeewtOqSZkM69q5bGrWERi0iSkL+9MstpFJ40mVvcwa32RLu8UOvW+VLD4X0woBBCvD+UNHrKzqBpuYHBF6bK3bG/OcfW+aXPii458nNGCtJjEurR7ErNBuHhnHNlbsGgaDmCQLfZTZ9bfOMrVbGyURZlCXnAC9SnkBKIrhcgnNb0kA+A3A6dcDkybWU2PKVV+SrcwXYOcAz0irwYBGcPHmi9vXb7/zfXvcdrxbdbvcX2u2/2/SsvzPAl84fwVrzwlNHH6lLQnxPOo2dQCKLoh6VAl0ZQSIFSZ4ezsCdyQ/3nslrJYr2Kwd04eooMlBnB37iexW9m2mdiaQopkrryB3AJZ4nXf2GL6gFbuZJI0ho1h24282Q6faQhekO9+8b8MsfmOWp4/PsmBHMNUvSpKZp1lz9Sr0WUw9CPG/M6eUZPCVQ0uQ9plmQmSSSOFZsnbHEcUQ3qqWdMobhKKE3ktQHiprv4Xs1PD3FlTti/vP/ssi//WO47+lNJEY6gCeWKE5SJjeMA0MtlIx8lUswzwNPp86VcudKy9TdEjgZKYpjWCYNa9NMsElZPZOHaXIoyxYnSel9U0jOpARsY4rznePAFHjIfjYej7njrgfrO3bufqH8n9hx4m8N8P7IIiTNwdrh4NF7PuJ5YoVmHaLEkCQOUIm0JDa9chNBItOTqrLXjqkTTf5HVoGdyRCbA91mciR7/gzfT4qiiEpKkFLk4FZSpo0SmTyBmgeBb6jXLPXA6edGPaLdCJluDpmf6fDQwRG/9EczPHF8gW3TioWmYaouaNUkjZqiURfUa+7icKn+kPv2Cvojn5oivcjSNjxbBJpRrGnWFC+6psf9T7UZRE6mDMcJg6GiFygCX+F7fqqfp7lqp+HXf+ICP/eHcM/eTURGEhmTNksXPZhjXxL4xrG3V9TRa5XdSWVKIeOybqqNQJ4lhWwG8BTwSe68sOHKazIJMgFkYyeBDokxKWYcUZ44s8off/gz/j9+1+saH/n4Xw/+8Tv/0f/zAB+Nx0ipf3Zp8djP+nJF14MQgUbGkjhly0SmV6x0mtuUli3H2MVVbpTYmLVLgDY5sIumYFLtnZ8M4QqKhEzBnRYZqRzgoNKKQU+D7+E6gfy0wCpIqKfyolUfM9UaMtPq8uihMb/0RzM8dmwTW6Y1Cw3DVB2aNUGzrmjUFY2cvRNqQUyrMeKOx3zWOjVmZoo0eQYYk2rTKFFsmlO85nl97njQuC6a0JRALql5kpqn8bSP1nWkNFy10/JrP3GBn/tDyz37NxEZTZRWALqyV8fkQSTz6kJfS7ROi7CkQOns2JB/v+wizKRKVh6XfW+7gTw0pUdjSo/5ylsFd7myMzEFo2fAz2RMFEN/FGPU4OWHjh7+4x//oe969z/qPrnWbl/7/yzADx+6Hym92vnjX63VzSK+18YYkx8gJQVxSaLkzocqBY2muOIz+ZHkMoScvSuB5CRzp0jPMnK59pZZBV2hu7OKQa1w9Rna4nmusbjmG2p+Qr0W06hFNGtjWo0Rs1MdHj4w5uf/cJ5Hj2xm07THpkbCVMOm4E7ZuyapB479a0FMIwiJzZheGCCUxMsYPNfgImWv1C+OPJr+yJULhDVmMpCPEga+Y/DAl64mXmcb0Fquvcjynnef59/8vuGefZuJjGacCMLEpCwuqEWGwLP4nutd1WncoZUrEVZSpscnbRnMHkuFWfmFWY51JsCdk1CJmMrgzuMqWzw3pixXioKvrFk6it0xOnF2mf1HDn/f3v37Do/H0d+6Y/lvBfBzZ88wO79191dv/eDVMuxjtZt3oZQFDEJKkjRjWVhKWeAocnAnpZrkbDSazYJJWwRiBVMUWUlbXjMz1i4Hldlym3boqDSY0jrtDEqLkLLqwZqXpLo5ol4bM9MeMNXscd/emF943zyPHNnMwpRmoZ4wVbO0UnDXa85OzMBdDxJqfky7GbL3mOX2h5v4UuIpkwZxhUeRLd9RooiN5pU3RVx6SZ/DJ+osNCj6HMcJg1HKwlqhtZcnzISwXLMbfv0nl/i3f2i466kFRlHdJcNiSyOt4Q48HMh1tnqZvLdVqiRf4ZQUJYCLEshZp1cKkNsqwPMKxWLl3WhlLtidCotXNHvi5FKgNU891eGLtz193c/89I/uPn3q1PHtO3Z86wE+6J6m3mhddPzovb9totW39LoxUy3tspPKBVHCWKSQToenoM7tJGsxSSZHxLolLfOHbe5pT7gk69ySlLknwS0sUhW1L+77paytLb42eJ4h8AyBH1PzY2pBSKM2ZnZqwGpvwJ1Pwq9/ZAuPH5pnPgX3dN3SqguaNZF75c55MY69fQfwejAmTBJGwxo15S4yKUSlki9LpLhAUzstr8eMQ8swEiWAG3w/wfc0nifdVAHp5QBHwPUXC3793av81z+PuWffHGc6bUZNyXRiacWWWjpxIPBs6v1nTorN2TuTKhnA8++bfukyznOFmJ6UbFUtwF2VlK6aswT2CtALgGd2cAF497t1X0Dc5+zZpbd86av3Jjff9Lz/7dDRM8cuvXjbtxbgvbXjjAb1W/orT72N8Gmm236+XEpSeWIEiawC25StJCVySeJALdKlLUvYVKVIGeDZIS6rwuwkuPpySjUvKbjz4UCuLNbTJh0zkeTgDvwU3LN9FleH/NqfNvjMvQss9WdYmJIs1FJw15zubqSBZT2QNAKbMrjT3rUgBEK+9qjPauQzF1Cpx0ZUV6gkcc0P7UDz6hsH3Lc/pBcFTOUd6wZ/7GrVfe0ArpVryBbSJWiwcOVOyW/9r10+f9+QX/3AZk4tzTCc1kz7glZsaMQQRG70sq/cQCMvCzSlyIPg7LEcqJcvTCHyXpH8/MCEhCwDuxQ/mRL4y3mMIr9RDVCNKYhtaCW333eAWnvhbUGt+af9/vDYt5TB46iH0s3Llk5//WfC7sPMtBOsjVIgFpmvAsxFo0GSZsAyQOdaOwd1JkFsYUNNsnZZlqQHOmOWLN2cuQAqA7iyrhxXZ72drr/T9xJ8L6bmRwR+RKs+ROsBdzyW8MdfaPO5uzcRmjab2oL5mpMlzgLMfHKV3kXK3GX2jtB6zDeenmYQarY2su8zyeBZkO1KSWue4oVXDYmNA/gwEq5rPetcHxsXHOp0Nkxq74k0uW4RzE8Lvu9VfVrBGT7whSF3Pj3HuajOoCZpx5amtg7kOo1DlE3jEpuCPDuGoqgdlyApWHxyR8FcqmQjKpjU5uXuoSIBmDF6skFwWo7FyjFXGGm+dOfTXHPNFT/zzje/9JG17uDgdPubj4T7pgC34dP0lz6J9qa3ifH+V9T0GWS9SZxkUqOa0lW2YG5jypKkYO+KHMn+GNJkQgXYJeuhbF/lw4FK8wrTZIqU2Wg3k9Z8p+BWrhYj8CJ8P6LmhTQaI3x/wEdu0/zG/9jE4cVZvKDGlpZgNkhoB5ZmAM20w74euGxnLU0IufqVJF0JnDxZ6ib0Qx9fKXxp8wCT0p+SXdhZ7UYYe9S9EVumh6wNWgwjkY5bc7GC5yWpzadSu1M5gFcCV1f5+JaX9bn56kV+/cMj/uyLC6zETQaBR9OTtLWrwQk0+Iq8GUJnSZ98Do3Is8BZAqhMKlWxUgY6FWCaCquXtfnEvWQ2mA1/7hynk6e6/NUd+15xphtvO7/UPfjgk4e4+dpnL6v95gA3hubCay+Keo+8Lxk+iB9YhIxQiUl7HctglthSOrfK6lk2TJSu0CLALFYCdwAn6qbSw2oLNkmzb7IMcGlR0o2eKJg7SUEe42snSQJ/TOANOXY+5v2fb/Lpu+Y4cn6GdsNjtgYzQUIrsGnqPQO3TMEt86RQLdXege8unHZzzKe+oTl4vE4tncCVt4tRoDwf42CdDo9izZW74btu7vHHt87Rb2ja6eyRIEzjBmXQWqZj6yiB3CudLLcq7JqX/MIPDLju4lP84edmOXJuipW4zsDTNJWgkQLdl9ZdOKnLlK9+2XHN7EOcPi8ynXa9T54RU1Y6kfvm6y3FvJTDllfxQneb/PhkuhxCIwjx+MI39vHKWy5930+87eY3nl/ufVOp8qwAtzYGFGsX7t0xWDm4JxoM0MpDEKOUwSSykCAVUMt8HFrhkogc0Nnv2TJ7W5GzQMEKGW3big7MgO0es1HKDtzONcnYO8HTsevc0TFBMMbXY3pJyHs/7vOBz2/h9PI0RtWZnVLM+pYp39BImbuRp+9lWqeSSpPUO8/B7bvs5TgKOXgqoB8GzASpi5MlnTJXIsvC2lJNSqRpNzUX7whRwYhe2GLoC+qRZZwBXCdpokY5H1tmJcAbBa+KhakBP/WWAW975Tk+8Pku7//kHEvDJkNdo6YVDS2oK0sQW8fm0kkVLYvyhizLuY7J2UCuTDosQCWWysBbIrIMwAW4C1C7oFMQ23QnCyNIhGC01uXhRw7t2TLV3vGW19907MKyZdPcM4+5f1aAnzlzCqHaC8lIfjxcvderBdKBWyYkRmGUzMFcZnBjTRXwWbGOnQB2+gcVjC2eIUNpS3agzYFdkScyrZJTiQO4TtAqwfcian6I74V0RiHfeFzykdvafPKuOUZJC9/3mfMF076h6VsagaXhF+CuBZIgkASpNHGJodSZSAHuey7zefSs5c6HGoSRR9C06wLM7Faksx0ZhJHC8zSvubnHR7/SZ/+pJsOaG80w9ix+DF5k8EKDUtL51jItRc6G+1Acz8RIYiNpBJrN00P+zfcOuGrXmD+7rcWDe6dYHDYZKR/P09S0oC4hyAYsZfaqtC6fICiBvFqzMlmcVWb0jKAmHbHsdaG9RaHFbfE6sa6OKTIwtinAsWjl8ZmvPeb9k++54eMki88TSX/x78zgQXOr/Oo9T9zyuS9/dur7XnKOl1/vCvXjRJGY7C5RqVSxuWSRVXBPyJL8ngE7lShlBq8U/rgeHcfkeUrZ5OWeTndbtEocwFWSyxGtIzr9iLufFPzJrW1ue3iKlU4LWa/RqiumPUvbNzQ8S8O31H1S1nbMXQ8kNV9R8wU1n7RCz6TgNgSe099KjzlwCk53ai6xkurbauKkqJ9xfZAO5LGRhKFmc1tw2c4hT5yIGUQe43TGtx/iwKeyybpZogYm6zTy5T21IaPE1Ye/6zVDXv+CVb76SI8PfbHNg3vbLPcadKRP39f4SuBLQSBdI7iWbpc6JYqLVIm07HcDBl9XvzLJ5CVCM5QCTytISP1vm7K2gchCZAWRzcZax2BiTByx+5I1psWHp8zoe26Zmbr5Vp5leNCzAvzg4ROBluL3P3d3t/no07P89j+/wEuvHdMfBiSJlwPcGpnq8QLgZXBXnptMh5YAXjogFV6oSBNbKdB3ssSkmtugZOIG4mduhoxY7MXc8ZDmC3e3+MydU1zoNhG1Gl7Lo61hynOdPHWPVHY439XdZVpymupuXxBk7J0BXMf4fkzND7E24msPBxw/W2d+VuDJrFWvGCxaZjtbslCTRDEce+zeLHjNjQM+fW9IP/IYRoKa5/pV/XSyVLFKqdyvdnPUKY6rFa4vNWtUMM5vrwdj3vWqId9x8zJ/dVePz9/d4I7HW1zoNBgKn6Gv0Z5CCzfSw5MST9hUalkUoiQNq/bhBmReccEK5hZ5AJqUGDvO706WuJ9ltdcJmBBGY156fYff+MkOC4Fujsbe74vkxFXA8O8E8MMH9rLSGdAm4sGnN/HbHx9x3Z5Fmr4ljAzKKkwZ5Hmzr8xlSbaHZQbyykkA1zu5QU1gJaAsAdv1eDpJIlKAa53g64haLWI0Tth/Go6dUXzsy1Pc+mCbC6tN8GrotkdDSVqepaUNdc9S96DmOXDXPDeT0JWZytJdpD+3KchNDnLfc+1ph88YnjgagOely7wtpehFBQXlIMzVSwvixI1zvvbiMVfv6LPvdINhTdCIBUFkGStSa8+k7J25KZkFWWiV3GdPrUhjVDp9wGMUetTrY37kDWPe/KI1vvRQn7/4SoNjZ2rsO90gXAuIA81Ia6RyU30VoNPHjMlz6UIR/K+75W5KAWpDSZZALkeMhQTrJv1mot3GDtw2gjhmqjnkX75zlRdeFfDkoQDbOYZUz6pQnhngq8unRRiOfuZLn//o/Pe/dsznHuzw8JOKu/Zp3vzKEaqbEIXaATzdjNXk4xomgS1LAaVIQU3pcQLeWaSeaz6X1HCSxKS7PCQEgZukGicJ55bhy1/XHD5V5/b765xerXP4TBOCANXQ1LSiqS1NbZyL4LnB+TXPjWtzIM7uMr2rFOCkmjsFt5cQeI693YUVcnQR9h5r4MmqPZhLFIp68NxRyJwUk/Y1xh5X7x5y2aYBTx6JGcQerUgw1uDHbiagKgFcSoGQssLkMGm/iTyYzfooo8Rj7Pm06yE/9LoxL7uuy+nVLl97wOfIyYAvPdzgzHKNZOhhpCbyFUJKt1KkXfmSNOMJuWzZCOSVQJNyljpzW9J3c1AbsEn1HibQM7zsVUOef23I/ftrfP7OBkIcmv+hH/z+nzl2/PR7Ltq9fcPw7RkBHq99HkzyfddedLD54mtWePtrL/CXd2i+/mBAs2bZNmW4dHeIbwUmkhirUraQJVDLkhRJgV1i8Yytq9/MliL2grVzKaISvCAhSixHTgqeOKL48v0Nnjzq8/TROt2xm4OH56PaHoESNBQ0tKFe8oEDndVpZGWzri48SGWJ7yt8X6YXgC20t5e4zKLndH7Nj7Am5PyKZGwDtJb40qJLNtsEgecgT0qOU5L64QLNwmyIVCP6kcdAC+d0REXBmFamkoGUohTFZsOOKGKirLUsG4zkJSofPzEY+2yZCdm1OeKmS8YMwyH/5GiHJ4/5fPm+Gk8crXHkRI0oVhAorFQgJIksZYPyJMUGWqUizjMfOHs0pceJu0kgMmgMey4K2Tod86oXjPnw5xv85dfanF0TLLQXm4Pgvu/TWr3nb8Xg73nfX/OZe5fU66+9U8xMnaYejPFrMRdWanz8Sw0+8dctdu2MufbKkNfdPObVN4RgYzzPUm+S6mwJRhBHDuhZIFlh8PIlbx2gSeeXeNpC2s8ZhZbByDH6sVOSP78tYBApHn26xqGTAUt9n3Hig/ZBeai2wpeCuoKGstQUbpyZSguPlGNt3xMu6VEGtyfxU1kS+BD4pK6JS5l72uB7cZoRjajXQi6sJnz5nhadXsDMlECnXnxW9CWeidlMKSA0kvFYMT+neP2LRnzpwSEnOk2GnnQyRYMXW7wo86xTj10mzi6kPOtE5p9hrK6UTCSJxE8UiVbEnhv7EEWes1K9iKYf8bJrY1541Zi3vmLEgZOSx/Z6DEPFn325wdFzHgjJYKhJQpWVb2J1BvAJy6icvq0AHLAGkViEyaSJod5M8DyDsIZX3zjmdTePueaKkIt2xrQDy198qc75tYRe1CPqj7j3iUfF7/6rS9WvLP1ZHMz/wN8M4ELAYnf+ve/898H1K506SgTEieDUeZ/+SLLYh6OrlnueMHz8ywkLszHWWG68PORdrx3lvXYLU4Ybrg1p1tzJxIo8B7b+nIt8OE9nIHjscc1yV1KvSe7f6/HZu2qMIsUoUpw952OEJrIeRnigNSLQaCnxlaAmLbUU2IGyBMq6GnCder66YG4/68vMwa3SHk2Rs7fvGXw/K9BKcvb2/QilQr7+iOLT97ZQvnZ2W0V/PzODZ154kmSOh2I08njzi4d85htd/uxrU/TjGs1Uh3uZDo+ypIzNu4WEkDnA3EfJktYvV3emox20Y3JPK2Kt0XHigK4SlHKD9GdqMS++IuZFV0RYMeYdrxowitw4t7++K+CBvT71QLDUVTz2pE93IFOVJHhGUZ7vPOFaA2+4IWJ+OnFND4nlXa8dcsNlEdbAwqxhdtqiSRcKK/iR1494zY3nCc0S1ggatbXrL7rk+vdaK37qb8Tgg+4a9dZU+7f+8NNXnFmZUsfOWbChQ6iw4LsvbqxlbA3nO4bza26ZOXCiwWe/7q5Em1imZgy3XB/Sqrs64A3Tk+VLPXUd1vqKB5/w6XYUUks3E8Vqx0xC4+YCa5AaKSWeFA7M0hJIgy8dEHwFvipm9DmQi6LhQbtGgKzxuAxux/BpWa2XMXhSuscEOsLakNNLPuG4RjAl8dO0t0qr8ipZzKyjByhbp3l3ulGEkcdMS7FzPsQXI4ZxwDAW1LUbgpnVkGQJLSXL5a0y/yz3GVmyzRTZU2PS5pNCGsVxkuYNVDqXPSaKE1TkcglaJUgZs2PepCuG4apdI0I7RGpDpyN48AnN2sBVkk4K8nUWQlqM1awZXnh9xNSMwcZuZa8rd+zcd1eYWBKaTNo6WXbJVnf8wsijO2yqxRV9xZY972r3e9/dbbaazw7wAyeX8PTqex5+8tCr+v0BulYnNj7VoTqle+m92Bo62c+VobtmOfv1ZulP3AjgZf2WnhwhMNmWC6Q1p0IVQY6UqZWVgTpNO0vSjVsz37j0qNNOekW69R45uF1bl8JPwe1r8hJTx+Api2uDn2ZHPS8iCCJOLhk+/KUmaB9PiiLAzOWJWMfgZX84GxLqwOYG64SRxw++fshf3THk6fMt+olHI3ab0roqQFt04qgsJ1AO9rLSxUwKyVKBV3Y3eS2M1govcfNSvBToShZJM1c3nj4XJh0clKCFRdiE+YbhO19qQCSpzAREtn/GBuc8rzESYBRJpMnmscSRJKJqUuQ5khTkmRUdxT6j0RBh970q6h97Dzb+Z9+UwX/l/V9BSuHf+eh5epFLWAihSFBYl3akGCJf1lRm4rUFZUm88u9uhO+M3TKAV4MXIWXegqYEeMKllQPhqgU96V5rSVpTkXaPZ4VEmtIcFNKd2Yqu+gLgMpctgW/zljbfN6XBOTFeyt6+jpAy5Pg5wWK3htCaQFKRJ7L8Z5VOd1k6VICXOh1h7DHXHrN7y5B958YME80ogSAReInFi1MdHpM7S0UKXVU6FbLYzlm4WfeMKEkjg04MiZIonW1frtJiNbetjJLFXUiDSkEuss/GTckS0uauVwb0zAHbCOBFcq/8WJgSZYPCBc2iWP1S+7Puh9QbT5J0PuJvlO9ZB/CHnj6JEILOMEYr6cYb4/7TWGb+pagU0pRBbysy5JvJEtKunFJhvRBIihSxm0oFnrB4IgVtKgGy5/l7KdkXpaDkDba+Eg7sFXBL9+hnQM+CzxTcWfePNrlE8bTTp74fERPx+W/UOb9Yx5tS+OUajrKDwoQiLaeuS8VqWdJnNHYTbN/0kj7feHxEN64x0Jp6bAjTdLqSRUFUVnAmhKHoHMoCzaxqM7MO05kqFhLlPlMbQawEOpHpLnaulidOgV4k00yeYJPSlBJv6XNZBndq8+Z7xTzD+S8V2kGVrcvAL+dOrJG5zSyEJApD5PDghqtFBeC//+EvM9Ouv/T3PnbnzZ3FlXyb6KL80c0mcQa9+7BkwszPvsQ3m9SSC5IsWSBAZY/CBRaZ1abSlLGbb1Jo3GzWocoGeqbypAzsfA6KwvUjbgTwLODMdLfOZIlN9Xa1ltz3Inwv5FzH8PChOmjfjYCWNk/P5wxOlcUz5ip84HJfqsw98SjyuPHSMXPTQzqrDQaxoqHAi93fohI3QElFZYDjQJ5/kFxXs+/6JtPaIWVIjMAzgkRJEmVIlCBOQV4uXsvKIWQG8hKo8/1NMSnISUuas0x0kbSrFGNU6lfWs3mOJ1vEFKQrXtH84lYmq2dvrs1910uXT7397rkdb9kY4MKEjEbmO+eD+IYpMcbzPCwmT7UaIzDZFhiU25XSKrESo5sNrieR2idlMym7yrOsWAEOmzP4ZAmnzmoj0hrwrNTTNRdnnSpOlqi8e6UAdtZ869g71dyaXG9nlqBj7ALcXl6dGCGI+NxdAd94soUMNL4Ubv52XkFYtNEVFX+T2cxUT+YsLvMan+HI40XXDPmul/V4/+dahElAP5HUEss4Jl25ylV/JpVzZuKCeiYmB6Nl0VqYgjtREqWMY3Qp09ESplSKXK4BsgXIK9nmjMmzRbokU8V6Mi+P3CtqWFIQmwkGL9UzZYV6yTDGT+o3zNTH32mNvXtDBt936BQzU83X/9knvvIDK4uLzDRFOuixNANQ2hzsRWF79kGZRKmsPutGqpXnbmTgzgAgS6CQFDUP5dEGGXO7LUiy16QMTt6GVWHxtBvGU1Vwu3EKE8yd9mz6aXubp7OGg7h0jwiJ+IuvtUlsgMqzl+UAs+hrzJyNigZnol3PSDcdKsmCTY3A412vHvCnnx+zZiKGSY1hIvBichaX0iJjkRedObtwcv2UxfkqNxUYQaLTkQ0qBbm2KOPkihuz5yoYXfZY5qXJhUVZru4sypjzppQc6IVUWQ/w6tpeAXlOorIK7lKJdhT7DKNVmjPdH9ix5/W3j3onvlRr7aoCPI4ixuPw0uGgv2c07NKq+en+klmtrs2rv3KAp9+uUjnGs9+EKDF5SZ7kQJ8oz8y1+ITmzEBfnu2hlCi0eFpxVxl2kwJbK1E4Kbkd6DruXWOyTZm7CDB1ib0DL+ThQ5KDZ2pY5aGkxJcGPVmnURLgky5Kdi+39xV+tQN5FHvs2RZx9SV97j1QJ1I+w1hQk+AlFh2LVL6lXThxqsORTi5UPlKUWFyUpFExyiObCamVyWdIqlT6FeDOaoFsWiaQMTn56iFK4EZkE7M2Zu+NbpXK0pIeLy7QYsWLsxnk8ZDhcLQniqJL4zj50joGHw/XUIypeyHzLUlsCwbN9m/J55WUAF5lbPGsXztn7jKTTwK9BG6V13wXtlshWYTrnhcFuF2QKfJucZ2DW1YAXh7+47rtyYGdZytz5k7wtUvsuK6gCEvEJ77WYHm5jgi0893LF+FkDUpBThWLMGu+Lddx5960cXvbzM9K3vmaHg8fajNOagyUTz1xWjwrZ1WSFNzZWmFST7wcDZWyydlnpvMey1Op3F2iTDHTPXsu823VUw0us/2OMmkii+aISQafaFop0n3rC+0qmLJVRq8QQTqieRxpuj2Jd95Qm10jjoriwhzgTz/6BTwtGXfWmJnyWRsYJz1sqpGtwIgqsCdHOXwz/s78/0KeTDyWAV1m8cp4sYKxZZnBlSixeCZXJEpXAe7rdACQl20dmGY4tcXLU/EmfZ5U7lq5zp2nj8PHb2sxlj5KqjR7Wb0QJzOY65bl/AQyocNTLZ4o4kQTJJp3vm7En9w64PEjdSLlMZASPzGpeySQ6QyRfPyaFLmT4W4m/azqvkVlJk8M6NxCdKOtVVoSoBJbDOvM57KI/IKOJ/S4O5/lYjlKTJ6B/NmxUtblDodFsJm3+5l0t+ZI0ht67Lv3CF+6+3ylukkD7D14mksv3db4ymffe3Fy5BxRXIA36xgR1iJLWbjs5DwTtCdPqBCTz9dr72eWKCIHzuQ4ZFli7CzIzKY2aZ1t8ppqbzUB7ix972WNycbNDMlbxLKezji9Rygv5OBpTS/0QelUntiJ8tjJC7d6QKoDjSa88LQbp0j8aJqe4IrtIx4/GJKYgKHxqSWuZlunGlwJt5GrSyxlbGnIgsyCyYskStbhrvPBpu69bGCqNqQdRBZpigkB2biQJOvuzw2AIrjMA8+J852hZV3DRJb72YAFKn0D5W4w46SLEE5ixsmY2bltF/8fP/Puxn/4uR8ZeI1tDuDj/lmOHey87kJv5ue+/miH4dAjUMWHSZkuJhOeN7ZISpUtn8mAcpK9s58JXD6nDIQC2EUfoyqxoqoM1cxATlEjrUqgzp+nSR5F6oU7cDsAF0OBvLI8KbO3Svs6/ZCVnuH//ssWy8MaIvCcPJG2sqoUg3OeXXNWpgmY4qQZI/PUfRxr2g3NT7+9x1cfbrM89gmlZiglftpDWYx8SBm8XE8vTF5G6xwxibUGi6TqrIiUwW0epGdgV1KkDO4kUZK7KOQypdDhRTthIVOywLOwCivHZiIRth7gxfHKQZ7+QApX5bltU0SrucLs9ut+7sihA3eH0eCvcgYf9x7BMzWGw32c6w2JhzXmW4nLkE98ETvx4c96KwO6/HqC3QoNLgqQy0mJUh1MkwNbCqQqxo+pEqi1lOhUkugc4JnmNnlQ6WmTg9vTWf1Flb09FeH7IR/7msdTh+sgPaSUBFlpbMnazPeIT//IZ6wmLLF5PjKhJFNiI9NNnjyu3TPgLS/r8ie31jA6YCh9AinypI+SIt+i0QGoyuSizOS26jHnUkWBsm5VMFY4cGdTwtJhqsVYiWIWTTGZ1vVxClmVJ7mzUiI2KoD/m9/KqiHDkKcS5qbGJCzyyL79PHakhrBOh2uAp075tJseDx5scH6pxtapdIrrBsGS3SgueCZgl9wS93ZWmG/XDZSpeMZ5YCkKNs8Z8psBXBYAV6Uaap3WpXjkUsRThVvilYYDFZrbsben3dSq1Y7hr7/eYqkTQC11T0obbD2TREGI6onMmWgD2y5PQ0s3tSBRRLFmpq34R68a8JlvjFjuB4RKM0xkak+K1L0RRTO2nEysOPbO3jI5mxe9kTpzVlT6PB17baQbfZ0d9zLIRbpzXi4lU3niVueyHhcTckVUAS4swj4L3EsSJnXI86ZzIdxW49vnNNPzlpFIkCQO4E8+fYCtm2cu+usvPfgvDuxdY+uURyswebIkt7tgQyba6HvY8gXBxMkuAb16FxtLlCxxUgF2dfZ3ucPFDXenCu5sZ4OMuVWJudcxeDZuohg5oZXLXB49JjhwvIYhQEidN+cW1YPl+EGUXI3ijy/XohRMXvJ28+Hxsmg3SzRYzZW7Q/ZsHbG8r45NfMfiiZMpuuTiFOxZLvTK6oVkYefalM1t4ZMbWcyNLMc2yriLxqTjsfOElizIKAe3EekslUyTiwmpIibwYPMXE4q38l6VQN0KpazLZg6GHnE8j+cP2LVj6l/Mbnn9o+fPHDqmk8TQ64dbfJW8nvEiC22/SKGnzLmREyC+2cU2obcnH/NZIVRBXpUnouRMiFKwWQDaMTjpKOCyD16+p1taqzK4SyBP96v30tLQjL1V+lrrCKUiPn9vi4NLdfALeeKVrMvKBcv6cRGTt+qYs1KDdnl3s6yMNtRcMh/yphcNeODpBhiPOHFa3EvS7G5SlUoFc5YtuRTk1lYygvlzmT6X6aois7tIZ7/bfNxyokCaDCc2x0yR8Ck/T1m61N6Wt72Uwf0MrlPB8gW2hMgmp1miRDAMNYMLA+rz4vUzZrTFmOSYdttsu5nMADW/ENqVQEn8Db7AxM8z5lqnuydAnV9QEwFacYGtB3bO5kqUmnBL4E7nExbbdrAe2LoYEJSPeNMmBXns5ImKqDdC7t2v+KuvNxmOfGhotBR4oipNJr9/+W/eEOBM6O8Jy7Dsi0exZqqleesrR9z6jQH37/exTY9hEuAL8gtN5Z9f6ODSWpqDvJyzcMFneoEpx+aJdHrclFg7C+pNGlxKI0r6W5QC3WoMVWCoiAtEysIZ0MvYqjytHDtRIs3UiTGCuHSxIOJ8qplRBm1NTJJESJFQr7lC/2z5nPi3Sw/FT4SoOifl9/OLZB3AJyVKdaJpEVyKHDT5vDxV2r1BibQ2pQB3AfKsbNaidTFCWaebMGlVBbqXs7W7K+UCTN8PicKEW+9p8PSJBngeQqoUVOnckFJwKWT1pJZXsfwYlVk7q+kpJTCMzbbtk7knniSaMNRctSvmDS/p89ixOuPYJ5EeQ6PwEya+S+aFM8Hg7tFOfBdUdrEZjHIzJq0FKwVWgbSFHs9XVAnSlGYZmmLVkJMAn4xLmAD+M2Q6NyIHMXE1ZH+fRWASzXhsGYcx4ThBf/UrX0JrxfJKh9l2kB5ki322QFJs+HQDr3v9+N2NmLsK6oyxywFmsQNBIU1KVmHO2BnAi8mpuURJmdsxts2ZWuePxXMvDS61igj8kCePC770jQaDoQ9NDymyykFK9uAGWczS31k+WlktSuazVgfJTyR8SgVYYeTRaoW84cVjPnPHiMeOBKB9Rkbip1pcGbfBblkaiIRcHpBMZBBV4eRoRSFdpGPzbFXJgnxjHdilKRJtwpTdlPScm4LZJ3Mc6wA+AfpnYvANWb2UnTVWEIYB9z/4BPrxY1gTo5eXl5FSMBqHBL5MN+vM/kO7gWMiNnpYD/CMtfMvLipX8IYsLktgL2vuHOROb5ezmUqlFYZpRaFr50qf6/J88Alwp3cvm0KbFvhrFbu7jvC8iNgmfO7uOnc+WYeaBukamr1SCW+lNLZ8L7/Y4FaZqU1WzkrejJxYkU8qyIA+Hnm84toBb3rpgKeO14hjDysUQ6HxEvLvJJKCxYuvsDGTl4fYK5Uxt2Nz91ogjch1eO73Z4yerbYpg+dDOyfAXQk4KyC3lHfAEM8C6o2C0HJ/6zgSxGEPxBisRecpd+tAk4HRpD7hMzH5sy0dk4xdPHcvZBngpbau8s4CFWBXpEo5TV+6qwlwq9JdF5ugZoD2SqDOnBPnmLhHpSJ8L+LRY5KPf60F+CA9hFB5F5FKN1ItZ13LjlAh6MQEwDICmdDhpqTBrXA7Yqh09EO+T7zGWs27Xj3ky/eMePCwmyQQGcUgEWnBVwq6JANOqQ6kTH241QNFBejZT1UKeiPT/XyyoDjT3jJlc+Ee83NoSgM7ZeniryTACklSHK9nivOeocwWck+/mPdo87jMWtD1mvvyWb9blpUSpazORhh/piurYG5RukLJrZ0iot5gJwGRsrQQ7sBk2i5jjiyQK4M8bU0rNptyOzsUA/ALcFdYu/SYNdZmUkWpGM+LiZKY2++v88ShOngeSBdc+sKWJseWAyuxLrAS649YyaajtMRmrgZVLZ4WFRmVOiqJZhx6XLNnxCtucSw+TByLj4XPyIBORBH4JZld6EBSSBT3Bcr1RGXrUkmwytUgKYvLflqBsAIrQFpRSJVSUFmwd3peTfnCL8113yAP4o7SBmDegE1F+RhSyBQBhKHF4prk9fELrsTRxAYTuRnU2bbTGy0HG4IcUV1WRPqRotSOVvrDcvtqwjGp7hEzUX8iyPfeyXcvzppvKw0PxdYlSk2AuzQUP3dPVILSJYCnEsXXEQfPCj50a4tx5EHDS+UJeWuaKu8SnF+4pSDo2SSKrQK9LFPKmwMYu5EW1zQDyQ+/YcDn7myy/7S7+BKjGCTKVRkmafIH4fR3Igq3orSS2AzoJYBLW2hxmWp0aSxWunNkpXAAN6VYKWNyU46lNljZSoAue/RlEqwmgJ4Be2X1XLpQAs+yMDci8J0zpb/7H3335seePPCLd919L5umLB4Fc5Yl27MWU2VfLGfvFPRUtXfG7FVJUmZvSiAv2HqyyEqWaj9Uzt4lYMssuKyCO5vtV+jt9Lk0hfZOg8vQxnzqa00ePVh37T5Co4TLXOq0BrvcXFyWKYgqKz3jraLBC6swnwxmjAN2BeQSYzThyOPGy4a8/dV9fvcjPkOjwWgiIRkaFyNIk5JJUshCJpyVzEHJC4ts2qao3KqiLNjU+7a2AH8GbmlTMrLVVSyTLFWAr3dTRAk7ZWu1StwbawhbeiZEuoJ7MNcOueLqm39xfvPlP6nPnTk5LZLeG6dqMTXfx9Pui5cD7Wf+iOoVVGbyqvdZPC8SAGX3ZKIGpQycSh24rWjvHOglSaJK2lvlOz2UNqJSdkKSZJWCSQ5uT0ccOCP56FcbuPkrjr3zzv3s8wWV8cKy9HeXA01RfpHLkqruzYqtik0CShsFZMC2EpMoEpVq8UTzva8Z8OnbG+w95YEMsUIySjw0ab1IdqyT9AwmogQNW/XDrU17Id1srOy7yfQilBakdbIlA7G07jOsSf1xkwaoldW5CvYNpUn5vQ1wtQE3lB7dJZJIAMnp85L2XPjGwfjstJ5vJ9gQNs95aK0r/7hN189v2hhfutyqXzhbbsrR9IQsKetYWX1eYXFhS8Fl6XnO2DZncTUBbjeR1aSPzg5UyqAyv1vFKBmjUgZPVMxn726y92ChvaWQzvvOO2iegaGYfL3+FFUcgEx/U2JzIyYSPq7z3SRuJmCWwg8jzVWXjnnzS/sc/mhAmCgQmkRohkKgk9S+Iwt0M0elzF62CIHz8y1QNisVddIkZ/PsLmyR4hdgZNEzIA2VRE8Z7GUgrwN7GdRiI1hPHMMJmQcQhoKVjqR22jLVT9CNmqLV0Ey3NEKqfOPOxBQ6rLyL1npgZ8+r2qlqB03+gesTARs3N1RZO3udsXYG9oy5c6CrMpMXultlQaQsSRNZDM1XKsHzIo6cVfz3T7UZSY9sglbRNZ+uIOUa6LIkWWfkPsMJyt2rjLndAa7MVDdlDS4q9SmJ0cSJR5DE/LO39fnL2xscPqNBRalU8RgKgcrkSarH82BzAuSZN28BnV1w6XvSphIFm7J25ombCpvb9HOMFK5/oLwyT5CbEGmFeokUngnck1JvMm4pNrFyWxSOx5b+yOLXQZu0prZZc1nCKIYoEcSxJTHVJMTG1F3VUNXs1AbBRVrlthEDloEtJlg7S6RUwW0KiSKrDK4r/nams8v6u3SXjsU9HdINDe//TJvTFwJQOrUGZSpPbMX3zp+X//YKS1UTXc/ERAV7Z40H5R7NLIUv83veDCEVSazZvjDmJ97S49c/5NOJ3NQjayVjo5xtmGTfw0IiKGzDAuTF/7ufqPQqTOc3FY+ycHxk2oRuRZoAys5dqr9tzuDPEHCWVnuTAbmMoWcAeJkg3Ix1iBPjSk5iQxjGmDTY1e2mRSSW+RmDsYbBSDAcZ7PgbGXPwnXEJIrDVA4QMiYrLz0ZuCfBMMncGbAL1ralYNPmgWXW+KpUEWRqaVHapIxucmni5IgpSZWMseP8UasIHUR88nMB7/tEm7HxnDwRKpcneVPxhCVW0d25JKucomdk8QxXhVVYBn2WsrcYY/LsZp7CN24r8JqO+al39Dlw3OcDn3VaHBSJkIyM692UCTmDFwVY2ckqUvdlu9KBupAs1qZsLgpwOdJxpa62kvhxMiavS0/xYMokV8GMqOKn/LjRIcxrd9wWJ1Hstj4fjhMGw4hOP6bWMOjt8yNGjQEtunSGTU6eDxiHpSAQi82CowprF6/zLzgJ6Ikg4hlb02RpGa1IFFsKMtMtustbBqqi2EkpU5IqGZhLTC6L6sBcd+ePbtbgyir85VcbrI4zcDuAe9Jpby2q8qSy6mR22TMcowpjlwijmE5AtapvcutFM1EnLiXKKIzRxIlmyk9422sHfPruBss9BTICo4hwenyyurCKl2dmcpcHKpJCWX1KFmzalMVzQKc+ubHrz7nMSmWtW02MLA/Qtxti6Ztq8Xx2vmUwMpxeNJxftWzaaTHaoodJj2HcoRMtMYgsg5FmFMl8K2WyAyKKY1GxdUqPmfmSf1G5HuzrArJy21MOmNKICGkr2rvYD3N9UJkNpynAnVQCzCzIzPa50SX29hoxn/t6jfufqGNK2ts1NWTypFpvkrdmTa5ionpyNmSgErDKVmF5G+xyM0R5XEJiJcoWvniceGgT88JrQ77rBQM+/HkfVAhCYoVgbDRKCLcFSRZoigLUk3KFkg+eZbdtZh9mtTOyVCgmXea7wtzWXfC2hAGTkVjG1jb7WZHCL5NkhShKuKuC3pGg70sadYFuRPhJH78+RNdG6C/cV+P0uTrfeKjN5rbHtqmEdkO6hI8g3QB0/YdvFPFOypRJYOcXgbSFVJlgbCEm2FtUgV24KOlrZdHpiDEpU8dE2lRXlyRJ5pjIkkSRzj0JvIjDJyQf+lyLcz3f7Xct3aB3JSh2bJiIF9bp7pLm3oi917EPVN2AErAnm2vzrRhLdeJKZo9u+5PNzYQf+a4+dz8RcPi8BBEBCoNkJGRpEykHqgzUonIVFjIp//88m5mehzKbC/c8A3MmW7KV2P0sm/3uPt+UV5I8Rsu+R5lQxQTY0/8uC2jTC1VJ8ALB9k2Kl98c06z32bZ9RKM5RkfDgHBQZ7zWYCQ9RoHbh0ZKgVSyOCATV5bYANyTciQDNILSElnV3dnSlX9OXl9dYm6VAX4C5PmM7MnnSa6984RONg5YuX0+dWoL+n7EODH8wcfa3Plw3fW2Se20t3TDR7P6jvL3EtnKUr6YN2DyMs7FBLirGczCtSj2eC+Xz5bLaF27WTZhNUkMsdSoWPOKm0J+8l1dfvkPfMaxdI2oRhKnroo0ovTdbAqicsLDtaRR+n7utSjFBml3fZoEcgGmyC+APOjML3o74bSsDyjL+Cm0ua3EcuXvmq8CKY48DTVfMhU0aQfQ9NoEuoXeOiuQMVyxQ9CoS2qBLI0dewa2mpAnG71f/pKTxe8FC5YH+2zA3qX95+VG8kTavNvbbZttShKlNPY3093pjOs8uJQxnh/ztQc9Pn1ng3HoQV3n2jtn7zywXZ+5nLS/ysuqu2/cdFy2XTNgF9KgKL6yKqsyrNaKJ0YijZMqGdDjWFNvxLztFUNuu3PIlx9UzjZEgpBEQjPMVtH0WxaVfClby8xjsaXvRmoRZqBOv6cElf592Wtri3omWzrfVoiUuUvBrmRDcrRlEn0GlWBJ/51UShkDg6Hg5PkAiWQgGrSmAnSzoWg3NbNTHr6v0xELMu9tVHIDkJe+gJwEeg5yuwGg17O4KOvtsrcsS45Fpn/z/dTTVHme3MmAXABbqwmgqwLcOgW370Ws9S2fu7vB/rM1J02EK4kVmfYWlCZI2XXgzv+2fIUTJaA/iz7JwG3JU+SV8tmyVJlI/EzWi0upkCZBGk001ly+JeK7Xtbn/r0+nTBNvxqnx0MU2T4QktQbr5TRFmuOxSV38gtSOrdFpS1tBZtnUiVN+Ii0hjwHuqA8QiJncVsw/KQy2IhAi9cuS2uy9xIIcccqjN1xmeq7lLNW0gG6XtMEvkq7ZLKGgm+iOSevLOzGv0vhkGTsnhUpVdhbZEFlAewC3JkPXgSXMh/MbiuMXQkos0RO2UWRrlPekPA/Pl/nfZ9qYYV2vneFvSm0t9zge08st+THodTk8CzsXankYwLUOZOvb2XLN901BpNIjHS+uJKGKPGQyvBTbx1w6IzH+z6tieIC5AbBWEiUyQZJpOAut7bloE51BW4RKIqbbF69lwNdOCDL7D8TmVQpRkxkVqEVJe0tiqA3iw0KXLnvVWb57J5dJLkfbtwczTDKBnI6f1wnSQIYGjVBvSaL63fiH5zU4rn82EBHFe/ZDf6NiTFjZalS8rgzZi9m4qXe94RjIjNwqwl5MrFnvUr3nnEaPMLzIw6dk3z69ib9vgd1tZ6985rv0uoiigRPOS6ZfF4JkL4pg5dAX5Is5bklxmT1HiWgywzoEiOdFpdSE0UJrWbMW1854Na76hw6myYV3IBqEiEYUpgHwqTgtgXYbQ7q1C0hTf7kC07mpGSpe8feKgVrIU+qQC8YuLrK58culy2i8nM37N5O/I51ZQDGEudLAwgSrHGSVe/cWqNd8xl13GGNEze2oHBCJ4NMu04fPSOoKYPblvoVywxoK/JE5LPvCvckB3fG3KI8mD1zTkxluw1ZkiVSpo5JyuRax4wjw233NfnqI2m1oPQcwCfYOyvyUkJQCYYpB1ETTF5aUv8mt5zN89R9lZmsLGSKTbcicbrbFDLFSBIhUYnECEU01rz2hpDXvnDIyS94jI3T4WklFDGakcBVHFIEdJmBnaV+VL4MZY5KWisuyIFvhSjI3rpzakUaeFaAXmRUTZ7sKWblCIEr651k8klnxZYnY9kcqIlxu/uNxhHLXfDqCr1797a11Xrv1qRvv3txLWYwUsSJSH1wkZ+CsiSR+Qd/M2Dbjdk7BzOl5SsDfYmxc2BnQC92Gag6J1X9rfL0e1J6HiOl69SRfswdD/r8xgenSKwunBOpEEK6fYBEkZavMnjZ8dmYvSvgfjagTyR7JlP2ZbmSb0Bg0mIsUTgquSaXzhsXRhPHBt9P+Pkf7bL/lOaOByTGFylk3R8QGcWQsqCyJVmygSbPvfB0tc2+bxpQZjpcpBeAySWryOtU8uOU+eQTTRCVCVilC2KjLGf50BrrpkMMRobOQBLTuHXzlu1r6p3f2ejH41OHhbA/ORgK4ljmf3L2wZVOmtLzShq9/H4WjKn1BVPO+Sjm6eVuSF5TUrYAS4mcUkCZF1Q9A7jLUkVXEjqu1/LUiuA3PjTF3Y803aY80rWjIT20FNQlBJJ0k6tqc/H6exqv5ENyqsOIVNruJdVEw3RJ1xevRemit+uPa0YGpTmAYlLqlX9mYX4uJtCW+x/3WRuWagvSMDObIl5UHLoTLyrA/5tcraULIbtcStIrpclK5V/2u5NWaTHwsvRepvlLPn2RK7B5ifFgZBgJn4Mnl37krgee2q9vvcfDWEHNs8w0ihqKfKrsxNWz3uu2TMqRSmtSduApn5gNAszKthhVaSI30NzZDgMb3lU5sExLYdPniZ/woc9M8Vdfb2JrCoRy6BQaIWWl37Lob3yWjvkS++QHav05X+eB24nXZUAAlUCzOr8wDTLT+YE2ZW5rTVGjIiTSKBKhkcOEt71qyNNHPN7zR5owiEtBlMAajzFp40mWX0+ciW2xBShTHFjS7Ga2414W6GWyJT3XNtXZlQUhPbeWUoCZYSTJvpLIL851TkrO4MWuEaJ0cKWEqZbm2p2S2WlLFAu0oIkUgjiO6Q9D6kFRHyI2iGDBrk/JT7RsyXUBZnnyaLa8VyVJGfAVsGcML1KAl7R3hcFlUnJSyuBOkKXaky8/EPDBLzQZJekUfJFZg2nWUtiK9t4wNV8G+sTxqciVCtg3Zj+bBneZ97wuo5kXvBU1KVaWMpuy5KwI5QqzZFqcJQ2J0QSe4Uff1Oeex3y+/IizCzNvHCkwVjM2rh0tLyKZtA5TpOZSSggUmTQpgTxreihp7ux38gxk5ViK3PvOtXhZouQ4sxMEW8gXkb5Wym2Y66Mh0sjEorfOuWUvDGHsOu0dqZXYVlZ0UQbuDeybdTrcVsBcTe6U9LgsNjKSlSU6ay4wBdArOtxUPfBJ9pZJEWDqiMEYfvWPpzhyOsDqYrfkivbOJFIF2BOAZgMw5xAWVTw/iyCf3ECgmtEsF1+V9fj62hQj04pDWWZxhUgMQmhkaLhke8S/+7EO9/xsQG+U/jFG5t8rQTPKMixZytEUILcSMCmoXZbFsXkaUFpZKnwSmQ63pSRPdfUrMpqZAqiOFVkP6hLYJ36Wj47DHYcLq5blrsVai67V55FKYekzGi3lTFVmsOyLbCj0K0POq4FEuRmgPDO6YPPS6N0NJYop+eClbexSNs+Zu+KalHbnTT1vrSPiBH7vky0e2VdznrfMmLtwTjxRlSVKVFk79+o3YG4y9hHF0M2N+Hodk084J0UDRElvWlHZIymvTxGOwfOg00gH8kRiRHpPUqliDDdeGfHT39Phtz82TZikLA55VJigGJtMi6e59hLIc4kiSllO4TbotWU2lyBMwdwynTKbZzkFlSxnjqPcpZyofRKFsp9kcJlKH9JjJC3MzbZpt9skSYx+6SveQL3R4OCBp7nnri/SqHv5fpOVjvENrp7qB5YZ3U6AegOZMgHoAvB2QqZU92cs2DspdHk5qVO5p4FlLeEr9wV84JMtOkPPeYCp541QCCFS56TIWpZLecs6vLA6N5hBWAnLRP5aTAJ6grXX4b0CdEs5AVSwdjoVNpMk5SSQcDZiIhXSGlevEivaNcOPv2PAQ08F3HavgkacMnUmYgWxkYxyvixAbnGlseS2pfO801jVlfVmEsYULJ3JlzwYfgagT1rR+XFNA85J9yRzWzKPXaUdRIlNuPn5N3HdddfQ7w/Q2tNo7aG1wtduj0itigg+H3JICeTl8tkJUE9q8kmwV/S2sFUfvATqynZ1othh1wE8qfrd0lmBMt9X3QWWUsZIHbPvmOa/f7zNoWXfjcBK/W73KAv2LjlCFZBvJE8q0mRiWtN6NVJVKevchTKLF4mVvBGCjdL4E0OCskIsa/JNZUUmVYRFSI2MLHtmY/7ZO3scO6c5eFpgdVlgCZAeSQpyJkCeIi4FdipdhFsHVMruWaCZ1SLlLF6SLhsBfdLIKIJMm4cEonRws981AkS6uoHBCIOUEs9zPca65lsCD6YahoWZCN+X+T9a6ZMrn7OSCZ89lGWMrIC8DOwSqCv+d3UTI5XKkILJS7pbmfT1ZDKnALpSCVLG+EHMuY7gV/+ozae/1sB6qkjHp9JkI/ZWpQtwvXNSjkOKVa18sSMmQD5B4xXWngB79t76mpSyDs8AXQ5As84fx+BSZM/T4DMxxBg86VyVzljyc7+lOL8mICjTrcCicyYv5El6oWWPKWsrCdZk8oXCDxdFsVUeZErnltgyeaYlt+v196SRkV4wtiRXKgQriGJLOI7oDU2atrfoWiAIav65qVbypYt2NF+/ujbApJuvZRZhXt41wUSC4goTGfBLLJ5JkUKibAzyHNyTAWWZzUUK7iy4FBlbu0ylTF0T99zVmoQYPvuNJl95oJHWmmSWoEwZPGPvYtfg8rzBskZcVxZb0uKUfrbuMGWvJ7VI6b2qc1JK1ePAk1XplSsNZeqmZHo8EW7fdueeuPeklBir0vckwrqKw0BbXveCEW9+yYA/vVUSxsKlbXO/DSwesRWM0oSfFWWZUtbkbmSzTZm9uE5cQZYsVSXKVJdnj4IU9LZwVLKEag5u+8yrYjXbbgmjhFpjhkEovqS94FxiB8i5TZdz/MBXjsVx+H/XmluBbH+abJsPkw+unEy6yIl7kbTJfs+kG5UayvUjlW6cSmrdlP6NEphlFdyFFCm5JipzTVy9SSwMn7m9znv+uM2pJQ985Zi7FFiKFNx51nKiorESAFVmn5SUdpnRs/8vS5XKeRHrgL4R7in1ROZFTSVJkrN6NgHLyFJjhMSaokbFpfhd549JXItbNFbsnDP83I91ecurBngiBhODTR/T59YYYgsjC6EVhAZiI4izRyuKvTUrz9N7ZYPZdEPh8n6ctrw3J+m24unOy+lg+2yn7cRkzcVuln2cQBxDlECUWPc8TLh49zbCcfR/f+Kvvnrshusud1R95oJAakFnRRFGgnbggAdFBJ+VdZYHNJaX4mfyvXM2L0uUjQJLMbEHeiZTVOGayJIUycAtSwFlZgl6XsLRJckHPtVk/+EAWioHtfNAnfbOpEneZ8lEbfokc5fvctK+qgaUYkMmLzhno2SPY20zkfApzoGsZPCK9L0UDuRS2NwbFzmzy1RGGYxQCOu88WhsuXJPxI++rccDT/gcWywtVabE5EYQIxgJF1ySjnCzplyHUujyvEalqnpcul66nwm7gWXoBECxKuaa2+YsXtio7kBkrX2QTROG6bphupEQyHSPHoAdu69Ee3UueBFL8T7qQYQqReZJXn9MBeCTGmlyd9sK0CcswRzcJYuwbAOKPLg0FG6KyQPMXJbk7zn21iphpSf43T9tc/sjtaJKMMtYpuBWknSH4vIY5EJiqdIJ2MgW3Aj4kxb43/RW7q6vVBWWU9g2kywOULlMESXwlzKdrl7aIow71kaotOFAuctIGJKB4VU3jPlff7DLf/7jaVaHGbDTlcaIFOSaWIrcQclAjnFAJgN8ShbZdyzteZXPFbfCzcTJZqxMHkNLEWBWgF4iBVNi9aw5WwpLzdPs2rWLG2+4ll5/kF2jsLCwmT17LrutHZz+jW2bDHNTfdrNMY0gwvOSvN8xr4+ojHHYwNqr/H5J2uQMPCFnsvS7KrslE10566oDs+dxJaEzkpY/+FSTP/pki17kuUKqjLlT10QIN2Y4c04qRVUUB3cye1lh6g3BXJ1z/TdB+mR3fQ7k7Gdlt6VkFxaSpWwhTk6mdVIla2/LBngaW+zB2dLwk+/o8VNv61E3MZgklSoJ2KgkVyyxhbGBsRFE6T22giiTKNbJl0KyFK/zEQ9l6WJL9e5m/b3831V+zzq5EsaCQQhrI8G5rqAb1Xni4OJvXH755bdt3rylAPj8wlZOP/nPB7PNA0fnZleo1y/Qbnap10K8rBRVllPqZRekVEdSckNUCdiTtl8uRyqtZQVjl3W5zACtkvS/yxI5VeaWMgbP8PRhjz+/rUE3SjfIJAO2zgNMQSpN8rutaG9VAvQzZS9z2SHWv19xAf4GSC/a1SYswzQRXd7LsrgISk3JZf29rvNHlgCvnD43CmMV1ijiSNHSlu9/XZ+rLhsjk7IeL4M9KUBuITQQpeCObabLHXDjirYWFb1tKlq80OfrgJzHHRu8Tv+NKIFuKLgwsqzEQ1aTmPsPLB596ff+8mDnjm2FRAFYlj9Ku1njA7feya23f43f/Kc9ts9qBiO/wjRVS2x9cqdwS8oVb1UHpZAlhe4WZdek5HtXAktRylJOpOK1l/D4EY+f/vUZnjgYYD1ZyJKcwWXJFrT5IJ/JnRo2sgY3kimVxI6g9Er87eSKrT6t+uKTdqErDXVOhAOutIVkMcLNVzdWuqXeWoyV6e+4CVnCOG88wTqNG1quvzTivT+3xk/+n4InDqXBicy+jCiWk1SuZFLBL9uHWUtbKlGyVdGWJEya5S8ebVFOO7larjOlJojFAt2xYPuWNf7Tj5xj87Y30t78Rkwy4Lq/+I8FgwM061up17ezbXqWndNNfD/daTfSxLHKI3JyoNt17F0wb9kJsTlDFg5Iwdrr3JKNpIlM1oE7swMduA09K/n9TzV5dG9AokqsLYp6EyjZghVQV52TjJUn5w6uGwtRAXtx8J+l/GRDeVLBeCmLOcnq65l9vWQp77eZTabN6lPsxGQsZyG6nSNEIrnxqjH/9K19WjK1KTZgcWwCqbsRpmwepaydOyy2kCxVN4V1bkomW5ymLmTLpG1K6fhK4RZnX7ldjuNQcObsFuJoGzs2bWHL3Jb893MGn5v2aLWCQ7u21Q4/78rGnrW1aQa9KfpDLz9PZYlS9bNLzD2R0BEl2eJ8cVP1wTP2Tr1tUQo0VZadTNlbqhLYRYwSCdpLGBj4wKebfPwrTcYZmCeYG+FGYOQFVc/A3pX6iEnGLrlG1WRO1R6sIvubyZNJ9i7KUyd1uIF8lHGZ0QvJYjHG+eEZqwsrEGmNirDSdcNY656bNOi0liSx+MLyztcO2Htc84FPtehHuANmUirMHtMGtsTIIpBMU/WGdJ+h9NhSSvpk3niWqc2ym3lZrcCl5q0tXmcfWYqPpHRfq+a5PYViWePkquKSUB0exbVDo3GUH9OszY5f/43f5IrnvexwbGubTp/rvvLo8ZgwamJMWuiLyP/xqr3HuiCz3MxQVASuL4OVWflrqZCq8MrLGrworJKisAa1julH8Md/3eT//KMpzq/4pe6cLFuZvZZo4RoZ/EojQ5aiL4bqF999Im0vq3tBTm6xkm2/UuwrlA6Hz97Lf0bl36kUcpVmNObjNuTklNYNan2YKHMuAaJaQzQhK0nfT0sCptsJz786pDsQPHVYuyRQJT1rK1e5RTi7krJEK+sJsoLWiZ+JdRf4Rj+vxD+uUR5PCwJP0KpLts9rrtlluOnqzVx79cW/N+gceP+lV9yynsEBrr24he+3Pl+Px2/5/NftDUkMF29X7uqRBpUONy8vFRlQN2bt7GIwhcYu621RZCnLzF3o8KRiDxbgdrXdsmb5q883+LX3tzm3kiZz1rF3NWPpiRKQxcQ+OxSMsd77FpWDXS5hKE7ExJt/y1s5o5m9YbNqJSaZuzQkM812GivcNtqiCEyFLTxxITLWJn2UKegdi2M0UWjZOpPwiz/eZbkr+bPPtaCW0u06Jnc3gyTCFVn5JS1uUzZXaQlHOYWfzV+R2R+WtcKVLkj3olqLIlIr0vcEzbpi5xbN5rmERw+pRzft3Pz54XBQOaaq/OIP3vdBGnNzJ06cM7f0++amdkPRakgC3+LrchazGFlcgLdqG1YelSnmiqzLVma/l4G6GlhuBG4pE3TNcOi05tc/MMUj+2pQU1XGFuVab4EnXclF1rGT7e2+UTvaZKODSlm02p5Xfl0wuciZPd1M6xkYXJRXgoy517G6yBNKlT7QbBWVpfcoB/oFGDIcOuBM5Cmy/yb7nQxFxjI1ZajXLPc87rGyKqtIWVdVlrGxY3NLUe5arhopnk+yd8EKtvIb7rPKK5Tbm0ngaUE9kDTrik1zmt3bxOf6nX2/97bv+bEKwCsMDnDJ7qsRQjBVO0JN96gFbjeydZ63sAgxYR+WWTpj71LhVM7m6Yrg2LzE2jLJmV2ULMKyLFEyQfmGw2c0//6903ztoZrTHRWvu8zezvPOxkDoDWa9bCgVyr8jiwP8TJWE2RktR/+T2j1LZEy6JNlJthlTA5UkDyV/3JKzt0ueOHdEWLdfzkZFWQIX8Akj0ySRRBgQwiCMTIueLIlVYNwFYEaW1zx/xK/8dIdfeu8UR876bgmEPAGU6pL0KnIzaOMM5MY1OXgl9s5GSDigiryWO//7UhVAyvCZ3BfpjhFlHz1OLOPQsLwWMTU1w0UXX55ufVm9rQP4O9/6gafFlAAAMAJJREFUaqTU4X13fZrF82vUAwh8V5tSnUmyPsFTBnlZp2cXQsVClGbiAjAl2VJkKquvY5RnOHZB8x9+f4qP39YgFOnm9KLaX5mBW+Ick6LOe4Ptt4VdJ0nYAJw5gEu/U6mo5Flu5R9uVI+S1bWVc/j5Y6lkNntdqhMnA30ls1k0QkiTamUhckA7WzEFvClYPJMssYGajnnXdwxIDPzS701x/IIAL/3FMrizNGUKJ2MFYRo4WikwWDRuzJvNLwUqmdnMQiQrD87ksHHM4gJh95GxsIxDgbWGcZiwfdccl1/36jCO428O8Pn5OZTX+tlLL91+dSCPvCqJ+i4qlzYfLF+eTVJl5zJwy06Jqfjhxe8VGjzT3SJ3U8qJnTQNrxOOL3r8/H+b4pNfbhDKdOdXsdG9nLEsDa9PyWfS8y587tJ0rhJyJ/3vCqgnafvvcJvEdbkufH3aPgVCutVIxuDVxggK/V3R4WWQp7SILUSGUHlDcRxbPJ3w/W8YohX8wn+b5vgFn3QOc/UiNOCMd3fsDZIQx7a+LP0tabreiMLFyuYWKpn54yWQi2y3ibK2dwzeH1mm2g22bNv99V07t//s8kp33XGVk29ov83iic9052fl/h2bh8lUa0zNT/B1sb9kPpZBVjVzRTeL8s9LOjv1skVeBptUwC0zcJcKq6SMkSrhzIriF39vik/etgG419mCbgn0ZLVLZyP2zu2oknyB9QmHMqA38AtyoIjqm38jdE8GmJO+ePFmKgFKWcxM7hiqQ/SLikORe+T5nMPMKzfF1ig2r0B0mU5jFXEs0Qm88zuG/Kef7rB1Lip54hP+eH53+5HbVFKEaXo/NILQQpS+H1tBZF0G1FSyoRNViEkqS1KfPYxhFMHaUHB+4CehaOz//T+9rTs/N/XNAZ6dWJus/XSz4T2upHCFT9mMkXTb62I8camcdcLuWx8sbpDAKTkmSiSl9xKUjFLHxJB4gvd/psXHv9ggVGVA64nHErjF+ozlpO6u6uoCoBuNhyj73xvp62JAu/jb4ruazVyX1Kn63uUEUJ7gYT2DV0tsi84fa1Iw29LoNytykCdW5RNrjVWYRKITy7veMODH39JHJ4lDXQ7yNLW/AdCttcQmrWFJk0KRIb/HeZKoAHUG9KwsNzIiLYt1+0claeGfEQJbbz1+fqX//2vvy6PkuOpzv3tr63V69pE0I81IsnbJ8gKyRGzjBbMa24DMcpJADicEYkhYErbkAQ55h8VJIJgtee+RsITFwSZ+xoQ4IiHYjndsYzuytVv7MpqtZ3qr5d73x7236t6qnpFky8h23j2np7urqqtrqr/61Xe/33ZdG/o9O8B7F16FsUkrmonO42NTRTBGYFkMji26lDmqFZ9WdMdwqWuOG2HJzcg/ShLFRA97pZYmA6ogKosBNsGWe/K4aUsBLWpJU6sDWrPeSKhJ0ldHAzR0oCd6sdFvh6RArllqnWvrgFYbZMJkTwbc2oapwMJsIoTmydTDlw1wMxhWO/ZqpiafyXMSjCUsuAS3suZMgNxjHG+5oo7LNzVAIpZ4OfU48sxDhKByLgDd5ECLE/jKektLno5nUUBPLgaCIBJFNUMm1K4FXRau+Y3FvGQH0XW/fUXb82vPduJ7Bi9FGDRv2r9v33KL7it6ThjX4FYz3dhxEIMlmUTqE0iiFBdNNVHvYy+lfCa6cmIzEBu4/e4cPvLlCp7c48mE4TbAjt8n1MTKTCx1C55KRwM3AJ1g1nSypHmL4bpPgfqE4E65MbP0hCQaOPSJZUoTVxnsRoIyN56ZwccBMBo7eBgICBKFBUz8noxZYuJLIOpwR8DaJQG+8IEqPmwB/3x3QRBkQ2xWl6aVWiaKNUfyXQTAgbjTJB5l0WaFyVDauI8qxMSSQlQPYxBVx4YHe2qbX7PhpkI+hz++rv05pphl9PfP52Ht4RtXrhwam9c9hVKhiZzXguuEccXWTKF5PSHB0tzs+jp94qgst5xwKnBbRFAgYgO33ZXHx77SgSefluDOOHFMakKkG9eG1plB8W+kQT0H3WinqiD70AdJveCYY/A5lqeDrxKJQUt4MC8Iw2UPZLh33AZF5+M699bjVrRQW5UhFClL7lOsGg7w+fdVceVFdUmgWRt6oll3nb4w0ctSpy0+l6G3aVoiHz4jaEUUjZBiOqAYb1LsGwcWjCwfu+Ou/7pxweDgrKd6VgsOAAsXLUO9PoFH9nMs7a+CcQ9hJEIu4xOvZe0QXTHJaN+avh1bcJaAW+PhgpYAt92dx598tQP/tXs2cNPEcoNCpaC5JFv+QS/5YBTQPBHYdcymJMQ2wYMa2k+eh6f5Y2yttfVJXIqw6rGn0LDmiSYuOhGnrbmKMmSml1O6Fon8EsKpEFJksoTo2JpEycAH1i4O8Jn3VsE58JNZLbmKG7TEM09+K85FHikjQCh/twgENkTRfRGXIs4zk4cQMoIWB1jUwoVrgLVrlqKzo3POczsnwOEtbLWmx99T6pj3w0L+UNEPCCixZdA8SSxLrEak6IjhpmfJOiURykeyTFAU2AT/fE8OH/9yB7Y+7bYHN1LWmxItUlALooqtdpKS1o5jG1Y6vUzTupNnM/FBXQHm2xNDXJXkztATJMAVPAGJHg6dfugcPVFUzMKUgpYImVADu5INlboihe34f6BCIwcFCLdkWW353/sc6xYH+PwfVME48NN78prTRx484QnGiXwf/5cEgCWUFhl+G3ExcbTVvEhq/5Hk6z4DIhbB8mtYs2RRrZiL3rNocLD1jAHuN8dYqbL6wZWrabV5eGvRogG4JX99ORnhGhePnToauJUuTnQrroGdaA4dQjm4RfAv9+Xw4S914Mk9rkwW1ix1DGhqgJuSxKGjy4HZOG/Terd19ECBPV3OwKy6q6AcA3423pJalmIh2goSm+t0KK056dTArV8MTNuFzOMkSIBuaOSqxqHk4iKkT1hxxrm07FKYlpycQrARoqJI/AhrRgL8xR9WwTnBlntziOL/WQuDjK25rO+mfs+41rKkSARx4Ja8J4NDyIoBU3HwAfKei1ddenV1/aolD45NjDLMMehcK93cEByn7/jjO8nmO7ddEew+yFHICf5NSRLcmcSFa8UvZbHL2COZesTFeUgUTzI5Jfj3hzx86AsdeHKvBDdtN5nUebewOKZDR69tkoq606032ltyE+TZZTF2U9vpy0918NQjXq4tzDg4oWneSLJ/9PqFiYtfU1SYzsOz6grjGg9niT4u+Lol1ytOTrB6OMAXPziFS17ahMVSergRR66/DgEeaDJjopsrnVzp+hGHuJO0OEZ6G/jSR9YFSweDzf093ccH5w/OeV7nBDghOTz6xD64uXUHF8zfuBvWAhydaKHph3ISI6tKa9RDyX1WDGKznBqlesKCqkYFMItiy4Me/uAvKti+10VSOy6R/wxwg8YIo0SjJkhn5+jey3bWezbKki271hbQOvDTV0CyyQnB3c59H3sslSlJ0Q8Y8SlIgA0NsCyZfDLts3oaXKyH684hRrVJqQK06RBS8iH3CZYvCvCVP57C5RuasKJoFmBrkmK8LtAeEcB5nPRAkRitTq+BoY4JDHX3YP2Kl+5euXzlQX9mHyqluVn2nAAHAItaGK7cuvfc5ePvOtY6G+/6y37cfk8nGq0cgsgGk0VgdLe6nUoEToAuLLagKFIPdzmYTfBvD+Xwgb+qYPt+F7zthFKBWvdcEiNDZ7Z63ll3vG6ZublMQ2SGtiBryU3wcmM7sX52ePPMC/lWM+M6BUm+kSfAZymaollxM80NSGvgXLPWyQWR8mxyajS+ygJeWHTeIli+MMBff2gKl25ogkZSwG5nvXmYgDrW0E2Qc4jfs2BxdDkMV2/08cX3TeFtV47gP7c23/WZv/n5XkotnGjYJ9rg7DVDmK7NgBaKh4lzz13L+scvQljF2FQT5WID1EuCplQnBSrBSzRFBTCfCeGgLrBv3Ma9j7i4/m/L2L7XBXfbadwpiiK9MkSC2iWADZ17K7d8tkaiaa3blIBO0ZJ4aN7MuKimTle0i8OoxoTs69nAHltyuSOu8fGEW5scXExQibaNjOGwEqsvJpPqrmDq44K7qwkmkdQ4mYCKTB0qA7JEKQojHlwyYEoAEjCsHA5w44eq+NTfctz/qId9Y7YM0JI8XNRekweuTriFuOSVrIHIqQVKOAo2R1eBgTZL8Fvz8ZpLzr9reOnLDvtBHY5bPCHAT2jBAaBcLGHbkw/uXDHSceNbr1qFjgLQaNlx/Q3LEtk1tuXDsXzkci3kyi14BR+2Hcis9yiOMSGUg3rA9kM2Pv3VMv7whgq27ZOWm6QfbQAuAZZYbamaQIBWr3GiB1cpUJ6MepJJMm4bZ0IMlSVj1tPL2wE77ezRAK8/I73ciDlJeT2BlJdT0hPoFj3Nw6l8JBn6TK+QpVv42I2fWHAGeSfwgRWLAnz5I1P4xPuqWDYYCPkjtuIyfoWFQBQCjRCYCYBWAEQ+wFoAD8AYQ8RFzH7e4RgdC1BlqzBVq9x4730P7fROAtzASVhwNZYsHoKTKz0IVr+V+UevIdFTMjYlgGv7yHstuG4LhER4Yo+Nh3d6mN8TYdO6AKW8OLssFD829YCdB218+utl3LIlj2ZEZUx3uwdJgB7XFZS8G2bhnky0ILIqyWzLzPDXBKjx4jY++ISjE5zQRJ/CyIA645lE3MbGCNIiCbAZZGFLZdlZolIQjcIw+cG4YzAnQr3Qcjo5SeiMis2OlRlwqDLOXMqKNOQY6A7xW69twHOAP/tqGbsO2oAbiQMOxe2klOfYeG6A+d0Mv9xhY+seT8yxHA7mAg3qoRUR+AHDivVLsXzZslsH5g8/OD09fdLn8qQB7uYX4Mjhw3u75214//TYI5bL8Pr+ziqKxTqo28TkBMPP73Vx+z157D7gYMduC5XOCGev8HHOWQE2X97C8qEQxAJ2HbBx/ddLuOVneTQhU22MdJV2tCQxu8mkUlht1aw1yZLJFq2PrXEyN80+SyAbMShpC9+Gq8ebEQ3wJ4vkzKaCYxtWWQNz5pkj7m4mtuUx7eDUtOoixprHEYiQcqBqk4LYSaQsOostOqhw4VOa0BzGKOJ6ckCynkVgLcCzGTa/ogFw4Pqvl7D7oA1icSwbjrD58ibOWRrg7BU+Oisc23Zb2H3Axu33FPDzRwqYmGTwbYbDTQ+lQhFesfPHl12y8f2HDx3at2zp3MpJ+mye0qhP/gy27X3m4Ydu+fh//vJxYREshvsez+PeRws4OOWKXzp234Yo5SKsGgrw0d+dwXmrAnziK2XcvCWHFmQWKaEQjht9EqnXEkxUFEKE30e02RaRgrYMiaXUjPuOaw7GaWZm7x2LJK3Kk87OJN5O0X3xGTPBOE5jIyKFKllHzG2J3jk6SVkzOq2p77DUaz1pO8l9tSyp7au0urgKr5kuGHe1IzKpW/MqJzH8ehVfrTCTUYtdz7ZKYvb159gDLRW0WDygkZhn2aKz8g+35PCJr5Rw3uoAH/3dGlYPBih5LA7s4jJG/fAUx3/+ysH9T3gglo1qnYB5G/DKi66+wQ/9j7796gtOCa8nbcHVyFcGACz4/INP71ry3S3kLbv3HASjBHXuISSeyI0EAERA1AKiFmaawOO7OL75kxz+6Rcebv4PDy1OtJK9bagJNGoSrxdAsJEudSwsdpp7t8tPjGO/Ne7cjodnKEh6mc7hn63VgDbBNCy2UkzkezWpVK8VDyfc4Ndqg7h/PBC3B5GlvDUurjmDVPcGTUYUX5wkTChLrjyUVFIUJl38UIkNjAEWB4s4PJvhTZc0wUOgUuY4e0mIHBhC30YQughCF4xZAOHoykd4/aYAr940jQhAo7YwbOY2hV3zzmky5p/yeT2pSabx45F1+POv3T811lr7zs2X5e9etwao8wIitwwvX0DR81DwPNhOHrByACwUHYa3X13HNz9RxTuubKBSUj+aTksI2kcIkhjchjMHSbF63S1v5Fqq5FotmRdSbVHANilHqu5gG2piTCrbSoXmZ08a3amNszUL1XvS1q0fa+LQaInmEWXqgmApB5Hu4EG6eJA5ueRcKwMX83i13Iq3Ebq7KjcirqipGYpv357HO/+8A9+8LY+ZQHB6P/DQaBVQaxQxUyuhOlNCs1mCzT089lQZ/3L/8L1Llw0Plou4oVJyn3uAA8An3/tavPFlUf01r3q938Q8RHYOZddGf45jsCAePR6BDQdFi+MdV9Xwud+fRk8lwvkrA1x7aRMICMyZnaQpujVXtEWtJYk73ta5NrRJo9rbLJNIOht4dc6dArmO2gTbJttWzaeySJ8F0zw22G3QaoJc7ShTCcvQu82YlHRILaAssq6emA4f6N5OeaswPJvy80lHCauNGmMqMpwTwOb44c89/PIpB2OTNj7+tQ5868dFtBgA7mCmXsDkdAlTMyXM1IqoNQqoN/JYOK8PF7/8TcGOHVPjrkVqrn3q98ZTpihqDMxfg4ixBy7ddNGmPYfuyVfsEJ05jpwjOHFnSLCg0sCF66v4xDtqqOQB5gMFh6G3QwZNxDO4ORQUJHq3oy4BjU8n1vsEDh0kGds66Ge12OnlqQsg8WCaJz39E5BZ16TAjJT1Task0hjGVlmpI0Ac1ZlcCKrVSKKUkJiaIJYj41hyqmXpQ05UZXtCyjk4Y1o3CSpYCmMyGZhKNUXFrkhfhwS4okbHpyjqvgXYNiZrFj75DQ+tcBoXrXERtDrQChzYlMHzApRCC5ZFMX/w0kahZ9UDysg9k/HMAd5bwtjk1J/+/tsu5vv27P/gjm3bc90lC6WcqFeRz1FctiHAhespPKuERtOH67RgOyGWnxVg3oIIR8ZtWYogDXKdokAr2mMmMbR3x8v3NAt2BTPDiSOfKclGB8rLK+uyT5+M1EpC2m41J7hVbFLmY1o0IdfWZZw9+jJF3WNHkLpISBzkJ3g51yRA8V7JiIq3x+Bl8i4r+49QJNQGzIo5udhnIh9adoTDhy1s3+UgYBZgO4DlYcL38JnvduGyNRyXry8jn6Mo5EKUCjb8Fke+Y3nT63ntX8Pm/4OQDjzT8cwvDQA9nRX20zvuu/7c5QM3nLNygd9ZJOjtsrGgz8PKEQ+dxS7M1LsxXS8iCDyEkQ0Kgu4Ojo4CZIssRUfaTTITWhJHBxqZOu1rnLSnH1nKkrbUhoteB296+SwXjQHKU0G39t368jgENrW5XkMcOh1BO5qSKr+s8XKjtiHPJkTotcZ1ymHQkJinU6S5uohVoqjWCCamhNMI1AGsPPJeDl1uDtXJPLbuAfYfozg67mJs0kFkLfYDLL7hwM4Hrieka85owRONZ2zB1bCI7w/O7/0c5XX/0IHGpz07oD2dFno7I1DK0QoowkjEkBNQ+AHBLx9zsH2vI5w7Kr6EpiXBxFspmkSlQl9hBlDNFvaajgHXQ1rb0ZhM8gPaXQTtiUc6f/NU5ZR20YSASVkw2zqVCEEUYFncEU3OrQ0rrqsrXPwRYKUcnLNknbpQoLRvzZLL9sVEaeKQPx3jINQC4xyBT7FiOMR5Z/v4j8eAFqcg1ELOAvIOA+Mc41PiXLVaFCBFNmgPfjpfGvjC5NTMqcsmqfGsLDgAvPud12J+D21sPH/lrRe/7Bze2wn0VkJ0lQMUcwEcS8SjKBIYcY56kwJRKqY7dsOLICrFu4UkmEQJWmlAYw4rHoM5W9iHtAN95iLQEMvNZAYD8LMSbzkRTW3DT2ThNd+JmW2fTTJW26hSEupKyEQfZoKwkmNhTLfkkGWyTZc+06xy2pKz1LJ01CEoUMxFsAiLvzziIom43gKmagxjkz6OjrXQP7iWFyrLbt19gDTOfskbni08nz3AAWDRooUYWbJ6x8oVS6/btPEc1tsVoLPcQqngI+f6cGzRO8dxAjx1wMat9xQBT2bkGJWoTHC7JJEF9Yz4TG0TAETj4QpamfxL3SKj/TIDmrNcAPE2xFRS0uNkDHgmWjCllBiTz8yHNBrDkZ2oAhlQZ2O/dWVEB3QiGXJDGjTboySvU9GI0oETMRu8ZeOal7WwcqgFhCE4i9CMOGYCgmqTYmKGY2KaY82689jQwsXXrVmzesfAvJP3Vs41TgvAly1fibw95q9cc/43Okr0j+b1l9BZqqJcbCCXa8G1xQRzvBHhH39WxNb9OTHZIKopqx5Ihdhpowp26nq3wppZuDIb552uVJWJEtQRncrUSRtvdUza5ikQkyxpOQV6MqtFbwd6jgyV0cGctvhGsjLMO4C6QFQobSZsliVgF/tRdVXaJUskVlslKYtEZRu+72DFEMPmK2roKTSBsAk/DDHpE4w3KQ5NMuTLPQi5/UebNr70G7ueHvVXrVp1OqD57Dm4Gr3zlqNZOxStWf+6Xfv2VqYPP32w3O2OolwI4dg+IubjC98t4cabOgGSA2zXdMerICoALjTFBKnMeGW9kcqvxBwUBCnwAlkLrk0kMQuYxXtiLs+A/dmNBIg83mH8nssvjl9rwktGTRET6zhtNs7n1CapnAMk4djGrhWXl95NkYSsbJBIPSMxb2dSTaGxySSS5gAEPCRwALz/zXUwUHz22xZqAcFMlEfAgJesLOBNb7hw+rJNG3ft2nssWr9uxemC5emx4Go4Th633DX+43G26b1ez9Xjhyc7MDkzA8tuYOs+iv9zeyeavAA4ecDyAKpATmN1Q2+rrVMTXRJsl7GTdsW3iwHPKCspU22COSkB3H6imZpQot0+MCfqM9n06fepZTpVyXgskbj7je14iqZA93hKAKcsuFJP0lQm4yDSqYtWbiKSXs2IWQhCB0HgouXnYHEP73pdHStH6qBRA72F47hoNcUH3n7J+NuuWvPegb7dPy4V86cTkqfPggOA5XYBAOr1ye/kc6+0v/pd+/Md+2/pe93Ld+B7PythcqYM4hVAqSMsIUl+FEK0yECtPrelgotSk0ijK/FcXDsz4dRwR9pYcG1dO5CS1HLD0rcB8zOy6pr2Petz7NzRVkhdm8RqilJNZN94I1KRqMKtcRSimKySuDKyojeEiSVxmCxUjIsoQcGlbk51/ZyYhX+oVNIqhQZ+8/IGdm2r4K1XdOLPrrtolJRf8dGJKf873Z0LTiccAZxmgKtRKHTi4OGZv3/jFZfT6qEjn9399JG+x/eWQJ0i8q4tilOBywRT0XgISNzxqsRGbKmRstaqAHwKvKaKYrrugdRkMrUO+usUX08DXnzO7LCmb0LILFfHHEMvHxF7KGG+N7ZPr089E64OnJuf4eLYuYwRicEuQ10haYyiLslFQME4SxYwYYjUJFR1RVYn1VRUxDnwqQsCC8uHmlg8YqGv7+LR7sGrPg7O/p7QynMBxdNLUfQxOL+EYvTjb/R0Fz/ygzvXjj/wVDf6OywMFhn68wydLkPR4vAUFYECp2aVodMProW3ctOaE7MVib4e2kVgvEcyNcxm95CUpc6mqM3mziQnh+dkpCaQ7Zar94aaYswyifkZuYFBUXQpMNkk9mLqNQyZQV005UULvjL6d8aT10SRYZwgYhR+aKPR9DBdy2NypoTjExWcvdTD9e8rj7tO7iOf+fKWbxB6ctk5z2ScjnnRnOMN7/8WBYveGtWO/c3xQ3vLrk0RRkDNJ5hsUlR9gpbkdVTj3jZNsnVUkyibQLb4bpNMnLLc6ZSzdl5PQkgcD240lyIkiUCkYju9VYnYXr5Wsd9Ea08ipU6Lkvi1HiNOSBKHrr82W5mY4QbmMp7EqquudlonO9WFWm8UFl/0Rse7pCkVpUmFMrPee9JJj2qVg0lcHlsrix3XrRS3kYhRNFouZup5NJoOgpCC8xCLhvunR5YX3uN45AfE+9iz8lSeaDwnFEUfL1vqMWK5NyG0w+qw9a2t2/bkIk6BKsG+KjAdkrgjhgvE9CCx6DBP8EmAu51ColtvkASE8iuTQZJjmE3xaxszntroVCyHFDO0BYiptUFX1IMQqDJqsdjC1QFxYx+qkD6Q0PbYHyTpCmS1K/UhRVcYIIv+kMRzCQoCBkr1fFBiECFVms+2IwAUR447OD6ZR70Zodx5VnPG7/ndsdH8LTO14DkFN5CqJvdcjC0/vRnvfue1/Pw1A0/VGnyrZdlX2XzGvui8EMsWH8eOfQTVhivK1hHR5sKmSfyJrbX30yebVmxdpfVJTzbVhUJMK57QFS01zbDWEvxU/4xupZP11NiWaO3+tGXyQso+t5Ez1QUlaZLeZSId/ai2pW1omDF/0P5H/eKWu5WDtH0mBAn9iS8eYtC5jIW3RIHVnBeiWvfx7TtsPLC1AsptDA0tbJYq835rtDryT6NjrWjjRdc+1/B77ji4Pt60eTPuf/xY9Kv9i3604qyht79803B905ppDHTMIApFVSPGRUWj+JJOWWndRZ+klyFJ2Ur/uBpgoAEiPbLSH0n/zG2DseYcaWvebvt2kuAcm2SsuOZqVxu0kx15m50kHyEGT1fey6QDBE0tM98nsSkA9PLZslyf60Q4Wo1w1+MhGlhQd/Lz3375q0Z+NNR3KHrtldc8G0id9HjOLbgat992Mz714SuxefOXty6snLfnoR3hK77+I5rbP55DROX9lIhCPklHNNEVzbaS7mhqohmDm7a33O0smeEYomRWy27kONOEQyeWMLHGSeNWYlr4eP3sFhxIHZv2Xl3ghnUGaf//GfvRqJd+t9CkIdN+E+2lnCTK5XHCAhLnT2LdiWG5VTMEm4rS1xwcFnWwsM+GVVw0daS2+N0ffM9DN61d24krXv3cW241nnMOro/XXbkZY7tvxHtvHPn+OUv7nHdc3fjCzf/+SM89j02C2R647SAiND6ZSeJw6nXKaquRcaHPZmnbcGudt+v7M7bJYsHckfH9ZPbv14YuAxIkVld5FXXvoi4DAmkZMRb/NE6f8HE+x+FwjZzHXk9FgSDkP6py3aQnMyIMhFAwmcUPqElwBNcOwdHCvvERuKVLx957rfeheUvI90HW49prN592XM01fq0AB4CeJX8IAPg+n/g2YNtOR+fnjo5t6dt5cBycFRHlciBArKRYKQ5upSaaaRzFt+STARdSHG2OSWXiVMl6OMF1WfHU+vOoA4l9N+0OkqReS0pBDEePJh/G22uTzhMdgrLU2uaEaDo4pfLyYeKcM4JI1n+1qJAPKYlQzLfAWQONcAADw68erbKrP1ZD8O1nk7TwbMavHeDJyevC4bHm373x1a8kXZXos//3Jz/qu+9XYzg0PQDLs+FYHK7FYbbdTrTweEKofiAkikI7PhtbJyAL5OwLgxIA0Bwn2Y+csvbd9nxo/wc0LyR4cm2Z/47pBNJiUfRtst/TZqnh6k8CssS/J1UuzmFxkU5PVFq9vBoI5XBYCNsOsftIC/tG+zGy9M2jqxe+/uP9YH93psANnEGAA8D8nhw4P/6Nt7xmY3jBCv7Fb9/yr11/8T2GvMVRdDlsi8eTvjgPk4rugZbiulARcWZPST2KTvwKCfjTgDG4rNpWoyBE+3xyURGDkxqvdN5rrolHGpQZqVCuT1OTxFOZ7FaVjiDt9qemN0jz/kRSTfI9k4q0TONNlIieOQAFIQwRIaISGyEIZcMoi4hOP3dvW4Ni1zUT852NH35sJ//W+mWlMwmxMwtwcbJ7wXnwneGRS8bPXXt06e9c491wz10POGUPIJTCD2UJMVXYxwJsi8RWHZAtLhhBxHjs9s/crrNv5QFk37cLmGrHz/XXhCT0JU1SSPpruLlftSgNysyBp2JLjItErjNvVdkvFf+HklU19VpSFKa6nEXJBJNQYWwAFju0QIAoIvBDChZxBAFD74JXBV3duY+sPfvluwqF3E+WzD8Nt7ZnOc44wAGAEIfd//D2H597/ltd19tWX9Zvfe2JJx4jx8ab9HgVCCMRdEiJALdrQ1Z5EicwYhxhqGpjS8CryRoQO45iawiYNCYjFbZ5Ts9I42M3X8fbaupH+jMGTebmdxiWWtu/QSzS+zKsuQZ0ffuMapN0yFOTTGXBI0YQhBQhEyeLUoBZDHCEokUJh21HCEMLU9MWGkGJrVywmvPc0ve95aqzvjk9tcfv6F59RjGlxvMC4ABwwXnL8djjW/1lI/3fcWnrP8q58Nr7Hz/wPx/dtx+u7aG3SJCnHI4NeC6BY5M4Ei6IANVwlHPRFVcF6ccgo2pCiNgazub1BBIVRNEQnZYYSgrSQFZZ+CkZTrO0hBhGHOqwdAuuHJM6/YipiealBNFjTrQdqi+jyfforR6Vg0apLYSQmOaFEUEroAhCoXdblCOyxU4cR7jqy4U6OG+hydeANJd8stix5IeWu2D/oYPj/uCi5we4gV+To+dkx9nrVmPZssWNmemJ7QO9l3zuysuGP/2p64ai7h6CViC0cNcB8h5FKW+hXLRQzFvIuRSWJX7PkCUdcYOIIIwkp5SBcPFtPTNMdbidG94AMTE/ZfBzzXqn92EMngAzHdutH2Z6WcbRozt7JAlvlyWUzGVUPXcGRz5si8k5DxBFFM0WxUydojpDMV2jqDUttHwBekojTDWAO7etiarB4k+fe/alnztw+Pj2voHhxuCi05escDrG88aC6+Oaa67GA/f+INqw6R2fOjx6zB6dufuPHn7gYc9vTMG1OUoFC6WCDdchCCOO6nSIRoshZBytgKAZSAlQKi4cBA7hSZOmtrp1yiJrK9IcOvk4SXi08Zyy3siC3LC22gRTL/wTTyi1z8Tuc8INFSWuUagrK2rf0C44acVtS7Znl/XaGSOglMMPRDDcdJ1gchoIIwbXISgXxbynkLMR8AEsWbK6tW7T5X9V7pj3qX/4wU34rbe+5UzDpu14XgIcADZseiuOjFVRtqM/fffbLqNPrB/Z9A833U7LuWCTQ2r2QDfQXQnRaAK7Q4JwjGC8RnGsShCCwLM5PIvDs4VVsmj2dkU4zBgNaOoHmQXobZQVFd+hexJNL6L6TKI1KweO2pmKvbZ0zmLIl0lwlSGJqlQ00v4OkDbkKnbHohyuzeDYoXwwcG7BosDUjItak+HAqI9GE6iUKJotgq7OrrBcofeetfa1rLNnyb1+QP80CiZgOV1nGi6zjuctwAFgXk+sn378ttt+gqteeUHZ9+v/qzF94M1d+adp3juKXzzmoRlUUOmI4NZ9jHT52HnIxpFqEd0FodnahGuJs2KkZcBMTme8DYmf29IMw7RLwqIHcqVMdxzZx02tJS7Yqltwbb1h8UkiicbSoJpcci6L3SdI1yP9AHlnsxhsO0Te89FZrmF8JsDOwy48O8DYjIucZ6O3dxr//hDFYE8HlixeyAYXLb65VCn93o7dR6YvXnTumYbHSY3nNcD1cdVVr8PBA/umLTv3B42ZQztrE1h7zxOFa+57/DAuXhehVJ5BTy9w5aYaHtnRxBdv7sLxehdyFkHO0aWKdhIfDO3aiP1Q27XR3oyJp2G9k/cZWhKDjscAJZTEKk9SMg0Jl87o4wTqUhGqEYmbpjIoyy7Tz2Jur3YkZiKEcDhWhEK+ifFaHX91SwceeaqC129sYe+xOkpWCeevYpi/YCEOj8279cILL3hi+dIFX5qpNadHRkbONBxOerxgAA4Ag0OLAOD4Lx7d/4lC528Ol3q249rX7LpmpOsB/NNdAYJmL/xmCW+48CCOTk3gL/+xA1HeTqRCkrLSMb8myIbZmmDlhjveVEF0JSad2BB/hifFeVgMOEllmOAsRCSrg2dC4Ljx3XKJsNZy33H7b6WTq/dIogVVWxJVToIQjoLn4+s/yeGWXwxg7TwPZTfAwr4xPPhkD157+Stw5UuGb+3sX/wB8PpeQuedaQic8nhBAVyNl5+zEGOjY3vPunD1h8dHC98pF+e//4Gnd148dngfjk9MYumQixULRYdnmwj1xbGSYC0jno5Ai/1ORwOaE0/9lq9LfToHVyC3tIjEGGSRBDiTLbKhttf2wU1L324oy8+ltEe5Sk4QB6kuUOg0hQMRoyAREFKOKKKImNBOt+13YYGi5Plw3C68euM6rD53zZ298ytfypWXPjZdDfZ2VIbO9M/+jMYLEuAA0NPXAwA7I8Z3UoInli8h84d/Y/3f2sETZ800/9W64yEPnkNRcMRE03UAxyKGRdWjFlW6WZyKpk02kXwkRpdZZEepKQQWJXEogQovAEfc3JSHQBQpgAv9mXMSJ3xQkooFIciEA+vHwiHyJwmRVWXl5RtRLrvOJ5PTKFLFMQGLMji+jXrDxaXrG/jVLo4LNrw02rBp5c7+rta7N1x44WEA29vWPH8BjRcswNWwhL9++3R1cjtj0avQIoNjtbU3N3Fnx7qFx4tRcxo5l6CUE1bVD4EwErduKid6JI5UNC24PhSP5QAoI6JIJYBYA0eSBWTJkII4ZgYcESPSDc7gBwwRE7EblHLYltB3GAGY5ONqpOPZ4wmlfjfh4pjFNSe4NpV8iNAk3zIIhQPHklcdJRFGqwtwzaUdtZe87I3VY6PW5kXDCw9aNt37Qge2Gi94gKtR7ugE59Fe4KX7q8eqa979ZmdjzuL/+6FHt4e7d+3oRjRVjiKGw8d91JoctpUkK9iUiPgWi6TEEmEBFWdmqv2HSt0iAKci6FaltKnoR9sGHEt4XkUch0Dk8YkI0/VInHxLfC/nomSUyHNU+ZGJS53KpA8lLapyalqBq3h7xgi4KPEI2xafz7miOVTTd3F80gOlFB2dfdN9C0fGO3pW2Plc9K6X9C6+L+I9U+CcqQvuxTBeNAAHACKKzbADBw5OnLtq8I7RseryT97wvdaj//bXf7xr+yO/vWPn04HtHl3ZOtLKHTkaYr7FQfMUjk3guTQpgmPsk4Aw4f4PI5FaR4mYCIoyZglJj5MyLAFuzwFyLkPOY6gUQ4zNBHhgG8HUFEGlQOC5BJ4jRMq4a5qkPuoYFLgdm8vOCoAfyPSyVMquCnelkXBqWRZASIRKqY5WZCGqVZoR7X6qf8Gws37DS7+z9+EP/GX3/C963Ko0J8ZD1t3z4rDa+nhRAVyNoaFBQMy76nv37oNl2TfYtnXDurWD1saNS7629UBz+ZZfjF5IGoetnO2jVKAgPJKxHURMArmiG+JHD8IQjZZY7kiVw7JI7LRR6WwqpNe2ANfhyHkMHcUAg301UK+Kg9UOTI0XYEktW2jSgpNzOfmMe1bKC8axOTyHwXEE1fEDgmZLWFlLTlCVOhOGggIV8zY8z4Lt5tE7MC+aigbv7sr1bfc6m9cFTR7ZTg7D53+F9w0sqp/p3+u5HC9KgOtjeHgRkBjE8NCxyd9butrr2njO8c/89Kc/c48e2R8tWVg+D8D5Bw8dx+jYNCwqitkEAVApO5jXwzFV87F3lCAKKMqyfJ5tc3OiShJaYVEO22bwHIa8F6JUaCHfqqMV5jHVJKi3GBwbcG056bR5TDtUNKQAOIfncBTyDOV8AD+K8NgeB9Wqh4EuikqRww85Wi1Ro4STAjo6u2FZ+KWX8x+u9AxaA4tf7i/p6P6TKGhN2F7Pmf5Jfq3jRQ/w9FjQ3wkAEwB+HwC2/dedIIRcPDUdvHJkcW3zkdHaCpu08PATT2L/4QC9nRzLhqZxtDaOY/d3IqjnwSHAlPN43AjW1hQaZdGFJWdwbAbHCWHTEJxxBKEIBouihGbowVNRxBHJiq4WBTxX3AUGupoYr03j8b02psY7cPHZBSw8i+DYBMfCkfXo7c6hFeW32Xb+ZsbtfwX4nRdedumZPuVndPy3A3h6rFhzMQDcOV2dvBPAXTN1f2kUTLCtT+9hI4sXLr54w/yPDZSfQqHeh4HuJmr2BKpNgDMLpbwHSglyLuC5HH7AEYQErpO0/FOxHyq5gEBMEiMtJBZIJqicc9QbEaKIwHUscETIOTUAM9h7hKOrqxtrls/H6Gge556/GMP9hz7XDPfvWbf+ArpoqJuGkbULwB3d3d1n+tQ+L8Z/e4CrUe7oBIA71PvJieOwbbdzauLIvUGtAbfSCH7nTUMfHOxrXLFvlKBZp9jx5KNwaBODAxR+FGDbXgtdRQ7wALW6CGZi+QBRGCKKQjDWAgtaYEGAMIjQ8gGWo6DEQtNn6KwUsKCPYMf+CLWWg+5OB8VSF1aefTF85uPQqIeefnvL4kXHv9jXnXNWrlqLhUNX3Dm00p+c1993pk/h83L8f4DPMjq7egFgEsBtAHD08BFc1kue6uyqDyweJ6xa5Rg9tAt+M0KpCEw3QxybDIKrrrjg+iicuPLQMRbM66XorQRw7AhuRw3ddBIbN3Ri5WQHFlQ4HAvo7qDo76aYrFlOT1f5djd44Pqnj1Cn4VuwLAteroTe+WvRCgkCx6U9vd7RN72a7+kf6MeHz/RJegGMF58udAbH7m33gRAyMHp8X2XPAcYX9Fno6QhACNDTWcd0o4p/+HkZ9ZkyBsoMhABdJQsDvQRjVYv0982b4pwffdUrfuNM/ysvmvH/ACGokbwd8bmAAAAAJXRFWHRkYXRlOmNyZWF0ZQAyMDIwLTExLTA3VDE3OjE1OjQ1KzAwOjAwUkn3bgAAACV0RVh0ZGF0ZTptb2RpZnkAMjAyMC0xMS0wN1QxNzoxNTo0NSswMDowMCMUT9IAAAA5dEVYdFNvZnR3YXJlAG1hdHBsb3RsaWIgdmVyc2lvbiAyLjIuNSwgaHR0cDovL21hdHBsb3RsaWIub3JnL0jPKKMAAAAASUVORK5CYII=', '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: 144738
    {'hecke_orbit_code': 33555012, 'n': 1, 'trace_an': 1}
  • id: 144739
    {'hecke_orbit_code': 33555012, 'n': 2, 'trace_an': 0}
  • id: 144740
    {'hecke_orbit_code': 33555012, 'n': 3, 'trace_an': 0}
  • id: 144741
    {'hecke_orbit_code': 33555012, 'n': 4, 'trace_an': 0}
  • id: 144742
    {'hecke_orbit_code': 33555012, 'n': 5, 'trace_an': -1}
  • id: 144743
    {'hecke_orbit_code': 33555012, 'n': 6, 'trace_an': 0}
  • id: 144744
    {'hecke_orbit_code': 33555012, 'n': 7, 'trace_an': 0}
  • id: 144745
    {'hecke_orbit_code': 33555012, 'n': 8, 'trace_an': 0}
  • id: 144746
    {'hecke_orbit_code': 33555012, 'n': 9, 'trace_an': -3}
  • id: 144747
    {'hecke_orbit_code': 33555012, 'n': 10, 'trace_an': 0}
  • id: 144748
    {'hecke_orbit_code': 33555012, 'n': 11, 'trace_an': -2}
  • id: 144749
    {'hecke_orbit_code': 33555012, 'n': 12, 'trace_an': 0}
  • id: 144750
    {'hecke_orbit_code': 33555012, 'n': 13, 'trace_an': -2}
  • id: 144751
    {'hecke_orbit_code': 33555012, 'n': 14, 'trace_an': 0}
  • id: 144752
    {'hecke_orbit_code': 33555012, 'n': 15, 'trace_an': 0}
  • id: 144753
    {'hecke_orbit_code': 33555012, 'n': 16, 'trace_an': 0}
  • id: 144754
    {'hecke_orbit_code': 33555012, 'n': 17, 'trace_an': 0}
  • id: 144755
    {'hecke_orbit_code': 33555012, 'n': 18, 'trace_an': 0}
  • id: 144756
    {'hecke_orbit_code': 33555012, 'n': 19, 'trace_an': -2}
  • id: 144757
    {'hecke_orbit_code': 33555012, 'n': 20, 'trace_an': 0}
  • id: 144758
    {'hecke_orbit_code': 33555012, 'n': 21, 'trace_an': 0}
  • id: 144759
    {'hecke_orbit_code': 33555012, 'n': 22, 'trace_an': 0}
  • id: 144760
    {'hecke_orbit_code': 33555012, 'n': 23, 'trace_an': -8}
  • id: 144761
    {'hecke_orbit_code': 33555012, 'n': 24, 'trace_an': 0}
  • id: 144762
    {'hecke_orbit_code': 33555012, 'n': 25, 'trace_an': 1}
  • id: 144763
    {'hecke_orbit_code': 33555012, 'n': 26, 'trace_an': 0}
  • id: 144764
    {'hecke_orbit_code': 33555012, 'n': 27, 'trace_an': 0}
  • id: 144765
    {'hecke_orbit_code': 33555012, 'n': 28, 'trace_an': 0}
  • id: 144766
    {'hecke_orbit_code': 33555012, 'n': 29, 'trace_an': 1}
  • id: 144767
    {'hecke_orbit_code': 33555012, 'n': 30, 'trace_an': 0}
  • id: 144768
    {'hecke_orbit_code': 33555012, 'n': 31, 'trace_an': 2}
  • id: 144769
    {'hecke_orbit_code': 33555012, 'n': 32, 'trace_an': 0}
  • id: 144770
    {'hecke_orbit_code': 33555012, 'n': 33, 'trace_an': 0}
  • id: 144771
    {'hecke_orbit_code': 33555012, 'n': 34, 'trace_an': 0}
  • id: 144772
    {'hecke_orbit_code': 33555012, 'n': 35, 'trace_an': 0}
  • id: 144773
    {'hecke_orbit_code': 33555012, 'n': 36, 'trace_an': 0}
  • id: 144774
    {'hecke_orbit_code': 33555012, 'n': 37, 'trace_an': -4}
  • id: 144775
    {'hecke_orbit_code': 33555012, 'n': 38, 'trace_an': 0}
  • id: 144776
    {'hecke_orbit_code': 33555012, 'n': 39, 'trace_an': 0}
  • id: 144777
    {'hecke_orbit_code': 33555012, 'n': 40, 'trace_an': 0}
  • id: 144778
    {'hecke_orbit_code': 33555012, 'n': 41, 'trace_an': -10}
  • id: 144779
    {'hecke_orbit_code': 33555012, 'n': 42, 'trace_an': 0}
  • id: 144780
    {'hecke_orbit_code': 33555012, 'n': 43, 'trace_an': 4}
  • id: 144781
    {'hecke_orbit_code': 33555012, 'n': 44, 'trace_an': 0}
  • id: 144782
    {'hecke_orbit_code': 33555012, 'n': 45, 'trace_an': 3}
  • id: 144783
    {'hecke_orbit_code': 33555012, 'n': 46, 'trace_an': 0}
  • id: 144784
    {'hecke_orbit_code': 33555012, 'n': 47, 'trace_an': 12}
  • id: 144785
    {'hecke_orbit_code': 33555012, 'n': 48, 'trace_an': 0}
  • id: 144786
    {'hecke_orbit_code': 33555012, 'n': 49, 'trace_an': -7}
  • id: 144787
    {'hecke_orbit_code': 33555012, 'n': 50, 'trace_an': 0}
  • id: 144788
    {'hecke_orbit_code': 33555012, 'n': 51, 'trace_an': 0}
  • id: 144789
    {'hecke_orbit_code': 33555012, 'n': 52, 'trace_an': 0}
  • id: 144790
    {'hecke_orbit_code': 33555012, 'n': 53, 'trace_an': -6}
  • id: 144791
    {'hecke_orbit_code': 33555012, 'n': 54, 'trace_an': 0}
  • id: 144792
    {'hecke_orbit_code': 33555012, 'n': 55, 'trace_an': 2}
  • id: 144793
    {'hecke_orbit_code': 33555012, 'n': 56, 'trace_an': 0}
  • id: 144794
    {'hecke_orbit_code': 33555012, 'n': 57, 'trace_an': 0}
  • id: 144795
    {'hecke_orbit_code': 33555012, 'n': 58, 'trace_an': 0}
  • id: 144796
    {'hecke_orbit_code': 33555012, 'n': 59, 'trace_an': -12}
  • id: 144797
    {'hecke_orbit_code': 33555012, 'n': 60, 'trace_an': 0}
  • id: 144798
    {'hecke_orbit_code': 33555012, 'n': 61, 'trace_an': -10}
  • id: 144799
    {'hecke_orbit_code': 33555012, 'n': 62, 'trace_an': 0}
  • id: 144800
    {'hecke_orbit_code': 33555012, 'n': 63, 'trace_an': 0}
  • id: 144801
    {'hecke_orbit_code': 33555012, 'n': 64, 'trace_an': 0}
  • id: 144802
    {'hecke_orbit_code': 33555012, 'n': 65, 'trace_an': 2}
  • id: 144803
    {'hecke_orbit_code': 33555012, 'n': 66, 'trace_an': 0}
  • id: 144804
    {'hecke_orbit_code': 33555012, 'n': 67, 'trace_an': 12}
  • id: 144805
    {'hecke_orbit_code': 33555012, 'n': 68, 'trace_an': 0}
  • id: 144806
    {'hecke_orbit_code': 33555012, 'n': 69, 'trace_an': 0}
  • id: 144807
    {'hecke_orbit_code': 33555012, 'n': 70, 'trace_an': 0}
  • id: 144808
    {'hecke_orbit_code': 33555012, 'n': 71, 'trace_an': 12}
  • id: 144809
    {'hecke_orbit_code': 33555012, 'n': 72, 'trace_an': 0}
  • id: 144810
    {'hecke_orbit_code': 33555012, 'n': 73, 'trace_an': 12}
  • id: 144811
    {'hecke_orbit_code': 33555012, 'n': 74, 'trace_an': 0}
  • id: 144812
    {'hecke_orbit_code': 33555012, 'n': 75, 'trace_an': 0}
  • id: 144813
    {'hecke_orbit_code': 33555012, 'n': 76, 'trace_an': 0}
  • id: 144814
    {'hecke_orbit_code': 33555012, 'n': 77, 'trace_an': 0}
  • id: 144815
    {'hecke_orbit_code': 33555012, 'n': 78, 'trace_an': 0}
  • id: 144816
    {'hecke_orbit_code': 33555012, 'n': 79, 'trace_an': 2}
  • id: 144817
    {'hecke_orbit_code': 33555012, 'n': 80, 'trace_an': 0}
  • id: 144818
    {'hecke_orbit_code': 33555012, 'n': 81, 'trace_an': 9}
  • id: 144819
    {'hecke_orbit_code': 33555012, 'n': 82, 'trace_an': 0}
  • id: 144820
    {'hecke_orbit_code': 33555012, 'n': 83, 'trace_an': -4}
  • id: 144821
    {'hecke_orbit_code': 33555012, 'n': 84, 'trace_an': 0}
  • id: 144822
    {'hecke_orbit_code': 33555012, 'n': 85, 'trace_an': 0}
  • id: 144823
    {'hecke_orbit_code': 33555012, 'n': 86, 'trace_an': 0}
  • id: 144824
    {'hecke_orbit_code': 33555012, 'n': 87, 'trace_an': 0}
  • id: 144825
    {'hecke_orbit_code': 33555012, 'n': 88, 'trace_an': 0}
  • id: 144826
    {'hecke_orbit_code': 33555012, 'n': 89, 'trace_an': -10}
  • id: 144827
    {'hecke_orbit_code': 33555012, 'n': 90, 'trace_an': 0}
  • id: 144828
    {'hecke_orbit_code': 33555012, 'n': 91, 'trace_an': 0}
  • id: 144829
    {'hecke_orbit_code': 33555012, 'n': 92, 'trace_an': 0}
  • id: 144830
    {'hecke_orbit_code': 33555012, 'n': 93, 'trace_an': 0}
  • id: 144831
    {'hecke_orbit_code': 33555012, 'n': 94, 'trace_an': 0}
  • id: 144832
    {'hecke_orbit_code': 33555012, 'n': 95, 'trace_an': 2}
  • id: 144833
    {'hecke_orbit_code': 33555012, 'n': 96, 'trace_an': 0}
  • id: 144834
    {'hecke_orbit_code': 33555012, 'n': 97, 'trace_an': 8}
  • id: 144835
    {'hecke_orbit_code': 33555012, 'n': 98, 'trace_an': 0}
  • id: 144836
    {'hecke_orbit_code': 33555012, 'n': 99, 'trace_an': 6}
  • id: 144837
    {'hecke_orbit_code': 33555012, 'n': 100, 'trace_an': 0}