Newform data - 2352.3.m.o

Formats: - HTML - YAML - JSON - 2025-09-28T02:44:29.193710

• 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': 21168, 'analytic_conductor': 64.08735817754183, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 4, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 2, 'char_parity': -1, 'char_values': [2352, 2, [1471, 1765, 785, 2257], [1, 2, 2, 2]], 'cm_discs': [], 'conrey_index': 1471, 'dim': 6, 'field_disc': -1364138928, 'field_disc_factorization': [[-1, 1], [2, 4], [3, 3], [1777, 2]], 'field_poly': [972, 0, 364, 0, 35, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [-84, -44, -1, 1]]], 'hecke_orbit': 15, 'hecke_orbit_code': 63051219467241776, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 32, 'hecke_ring_index_factorization': [[2, 5]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2352.3.m.o', 'level': 2352, '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, 3, 7], 'level_radical': 42, 'minimal_twist': '336.3.be.d', 'nf_label': '6.0.1364138928.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{1}q^{3}+\\beta _{3}q^{5}-3q^{9}+\\beta _{4}q^{11}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '2.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2352.3.m', 'trace_display': [0, 0, 2, 0], 'trace_hash': 2227447780882669579, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.061', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.662', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.531', 'prec': 17}, {'__RealLiteral__': 0, 'data': '174.492', 'prec': 24}, {'__RealLiteral__': 0, 'data': '196.834', 'prec': 24}, {'__RealLiteral__': 0, 'data': '8137.789', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.505', 'prec': 17}, 'traces': [6, 0, 0, 0, 2, 0, 0, 0, -18, 0, 0, 0, 44, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, 0, 34, 0, 0, 0, -6, 0, 0, 0, -12, 0, 0, 0, 136, 0, 0, 0, -6, 0, 0, 0, 0, 0, 0, 0, 178, 0, 0, 0, 60, 0, 0, 0, -100, 0, 0, 0, 368, 0, 0, 0, 48, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, 54, 0, 0, 0, 536, 0, 0, 0, -404, 0, 0, 0, -78, 0, 0, 0, 266, 0, 0, 0, 628, 0, 0, 0, 0, 0, 0, 0, 664, 0, 0, 0, 208, 0, 0, 0, -132, 0, 0, 0, 272, 0, 0, 0, 670, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 844, 0, 0, 0, 516, 0, 0, 0, -1054, 0, 0, 0, -100, 0, 0, 0, -48, 0, 0, 0, 368, 0, 0, 0, 0, 0, 0, 0, 354, 0, 0, 0, 654, 0, 0, 0, -660, 0, 0, 0, 126, 0, 0, 0, 412, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 1054, 0, 0, 0, 300, 0, 0, 0, -696, 0, 0, 0, -304, 0, 0, 0, 184, 0, 0, 0, -180, 0, 0, 0, 0, 0, 0, 0, 1816, 0, 0, 0, -84, 0, 0, 0, -1228, 0, 0, 0, 536, 0, 0, 0, 6, 0, 0, 0, -318, 0, 0, 0, 0, 0, 0, 0, -18, 0, 0, 0, 1208, 0, 0, 0, -68, 0, 0, 0, -102, 0, 0, 0, -118, 0, 0, 0, 1414, 0, 0, 0, 0, 0, 0, 0, 1588, 0, 0, 0, 140, 0, 0, 0, -864, 0, 0, 0, 538, 0, 0, 0, 494, 0, 0, 0, 18, 0, 0, 0, 0, 0, 0, 0, 2100, 0, 0, 0, 372, 0, 0, 0, -1582, 0, 0, 0, -78, 0, 0, 0, 270, 0, 0, 0, 980, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, 0, 174, 0, 0, 0, 1686, 0, 0, 0, -168, 0, 0, 0, 652, 0, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, -358, 0, 0, 0, 28, 0, 0, 0, -408, 0, 0, 0, -228, 0, 0, 0, -1232, 0, 0, 0, -222, 0, 0, 0, 0, 0, 0, 0, 44, 0, 0, 0, 1470, 0, 0, 0, -1700, 0, 0, 0, 776, 0, 0, 0, 18, 0, 0, 0, -794, 0, 0, 0, 0, 0, 0, 0, -1032, 0, 0, 0, -152, 0, 0, 0, 1560, 0, 0, 0, 24, 0, 0, 0, 40, 0, 0, 0, 1672, 0, 0, 0, 0, 0, 0, 0, -1924, 0, 0, 0, -2400, 0, 0, 0, -1326, 0, 0, 0, -406, 0, 0, 0, 1756, 0, 0, 0, -1626, 0, 0, 0, 0, 0, 0, 0, -868, 0, 0, 0, -534, 0, 0, 0, 1828, 0, 0, 0, 1154, 0, 0, 0, 216, 0, 0, 0, -2456, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 1628, 0, 0, 0, 2350, 0, 0, 0, -180, 0, 0, 0, -828, 0, 0, 0, 340, 0, 0, 0, 0, 0, 0, 0, -2362, 0, 0, 0, -2264, 0, 0, 0, 312, 0, 0, 0, -504, 0, 0, 0, -140, 0, 0, 0, 300, 0, 0, 0, 0, 0, 0, 0, -2146, 0, 0, 0, 408, 0, 0, 0, 2000, 0, 0, 0, -1656, 0, 0, 0, -1344, 0, 0, 0, -66, 0, 0, 0, 0, 0, 0, 0, -1104, 0, 0, 0, -1116, 0, 0, 0, 2912, 0, 0, 0, -1584, 0, 0, 0, -642, 0, 0, 0, -612, 0, 0, 0, 0, 0, 0, 0, -2272, 0, 0, 0, -3460, 0, 0, 0, -144, 0, 0, 0, -830, 0, 0, 0, 1880, 0, 0, 0, -300, 0, 0, 0, 0, 0, 0, 0, 172, 0, 0, 0, 1956, 0, 0, 0, 590, 0, 0, 0, 2798, 0, 0, 0, -216, 0, 0, 0, 200, 0, 0, 0, 0, 0, 0, 0, -990, 0, 0, 0, -1834, 0, 0, 0, 6210, 0, 0, 0, 738, 0, 0, 0, -3268, 0, 0, 0, 952, 0, 0, 0, 0, 0, 0, 0, -3248, 0, 0, 0, -1510, 0, 0, 0, 708, 0, 0, 0, -1972, 0, 0, 0, -3552, 0, 0, 0, -3024, 0, 0, 0, 0, 0, 0, 0, -4752, 0, 0, 0, -162, 0, 0, 0, -48, 0, 0, 0, -588, 0, 0, 0, -2604, 0, 0, 0, -3572, 0, 0, 0, 0, 0, 0, 0, -1338, 0, 0, 0, -1996, 0, 0, 0, 1240, 0, 0, 0, -1608, 0, 0, 0, 882, 0, 0, 0, -1420, 0, 0, 0, 0, 0, 0, 0, -1444, 0, 0, 0, -6264, 0, 0, 0, -468, 0, 0, 0, 952, 0, 0, 0, 34, 0, 0, 0, 1212, 0, 0, 0, 0, 0, 0, 0, -2192, 0, 0, 0, -1914, 0, 0, 0, 4012, 0, 0, 0, 3274, 0, 0, 0, 2040, 0, 0, 0, -3604, 0, 0, 0, 0, 0, 0, 0, 234, 0, 0, 0, 2188, 0, 0, 0, 3054, 0, 0, 0, -1128, 0, 0, 0, -5936, 0, 0, 0, 2164, 0, 0, 0, 0, 0, 0, 0, -4284, 0, 0, 0, -4422, 0, 0, 0, -798, 0, 0, 0, -3448, 0, 0, 0, -2244, 0, 0, 0, -138, 0, 0, 0, 0, 0, 0, 0, -2112, 0, 0, 0, 3192, 0, 0, 0, -56, 0, 0, 0, -4128, 0, 0, 0, -1884, 0, 0, 0, 2678, 0, 0, 0, 0, 0, 0, 0, -2580, 0, 0, 0, -1996, 0, 0, 0, -244, 0, 0, 0, 1176, 0, 0, 0, 1110, 0, 0, 0, 42, 0, 0, 0, 0, 0, 0, 0, -1388, 0, 0, 0, -1620, 0, 0, 0, -2814, 0, 0, 0, -1308, 0, 0, 0, -702, 0, 0, 0, -3768, 0, 0, 0, 0, 0, 0, 0, 5228, 0, 0, 0, -1992, 0, 0, 0, -1116, 0, 0, 0, -1528, 0, 0, 0, 804, 0, 0, 0, -3344, 0, 0, 0, 0, 0, 0, 0, 300, 0, 0, 0, -1630, 0, 0, 0, 7322, 0, 0, 0, -624, 0, 0, 0, -1364, 0, 0, 0, 1800, 0, 0, 0, 0, 0, 0, 0, 310, 0, 0, 0, 3552, 0, 0, 0, 3024, 0, 0, 0, 2192, 0, 0, 0, -2264, 0, 0, 0, 396, 0, 0, 0, 0, 0, 0, 0, -274, 0, 0, 0, -228, 0, 0, 0, -2608, 0, 0, 0, 1880, 0, 0, 0, 780, 0, 0, 0, 2016, 0, 0, 0, 0, 0, 0, 0, -816, 0, 0, 0, -888, 0, 0, 0, -1580, 0, 0, 0, -1890, 0, 0, 0, 3632, 0, 0, 0, -590, 0, 0, 0, 0, 0, 0, 0, -636, 0, 0, 0, 136, 0, 0, 0, -2010, 0, 0, 0, -2166, 0, 0, 0, 592, 0, 0, 0, 3516, 0, 0, 0, 0, 0, 0, 0, 3128, 0, 0, 0, 2916, 0, 0, 0, 794, 0, 0, 0, 1168, 0, 0, 0, -72, 0, 0, 0, -2504, 0, 0, 0, 0, 0, 0, 0, 2784, 0, 0, 0, 1678, 0, 0, 0, -276, 0, 0, 0, 3738, 0, 0, 0, 304, 0, 0, 0, -2668, 0, 0, 0, 0, 0, 0, 0, 2344, 0, 0, 0, -134, 0, 0, 0, -1836, 0, 0, 0, 6932, 0, 0, 0, -2500, 0, 0, 0, -1920, 0, 0, 0, 0, 0, 0, 0, -3834, 0, 0, 0, -2532, 0, 0, 0, -1068, 0, 0, 0, -1720, 0, 0, 0, -3378, 0, 0, 0, -252, 0, 0, 0, 0, 0, 0, 0, 120, 0, 0, 0, 3432, 0, 0, 0, -1400, 0, 0, 0, -1548, 0, 0, 0, 3204, 0, 0, 0, 1414, 0, 0, 0, 0, 0, 0, 0, 7628, 0, 0, 0, 4408, 0, 0, 0, -504, 0, 0, 0, 1136, 0, 0, 0, 7282, 0, 0, 0, 3162, 0, 0, 0, 0, 0, 0, 0, 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-3072, 0, 0, 0, 1026, 0, 0, 0, 0, 0, 0, 0, -378, 0, 0, 0, 5376, 0, 0, 0, -7820, 0, 0, 0, -2922, 0, 0, 0, 7320, 0, 0, 0, 7118, 0, 0, 0, 0, 0, 0, 0, 9064, 0, 0, 0, 3568, 0, 0, 0, -1236, 0, 0, 0, 7904, 0, 0, 0, 1614, 0, 0, 0, 3768, 0, 0, 0, 0, 0, 0, 0, 3256, 0, 0, 0, 4368, 0, 0, 0, 2182, 0, 0, 0, 2666, 0, 0, 0, 24, 0, 0, 0, 2920, 0, 0, 0, 0, 0, 0, 0, 5340, 0, 0, 0, 3946, 0, 0, 0, -5254, 0, 0, 0, 3390, 0, 0, 0, -8548, 0, 0, 0, -2652, 0, 0, 0, 0, 0, 0, 0, 6222, 0, 0, 0, 6054, 0, 0, 0, 2472, 0, 0, 0, 5920, 0, 0, 0, -2960, 0, 0, 0, -3720, 0, 0, 0, 0, 0, 0, 0, 2622, 0, 0, 0, -3162, 0, 0, 0, -6684, 0, 0, 0, 2740, 0, 0, 0, -534, 0, 0, 0, -6934, 0, 0, 0, 0, 0, 0, 0, 1770, 0, 0, 0, -2896, 0, 0, 0, -15948, 0, 0, 0, -900, 0, 0, 0, 5166, 0, 0, 0, 400, 0, 0, 0, 0, 0, 0, 0, 1940, 0, 0, 0, -392, 0, 0, 0, 1788, 0, 0, 0, 2120, 0, 0, 0, 7986, 0, 0, 0, 2088, 0, 0, 0, 0, 0, 0, 0, 10896, 0, 0, 0, -3282, 0, 0, 0, 2276, 0, 0, 0, -1278, 0, 0, 0, 2928, 0, 0, 0, 68, 0, 0, 0, 0, 0, 0, 0, 912, 0, 0, 0, 3074, 0, 0, 0, 3896, 0, 0, 0, -144, 0, 0, 0, -5972, 0, 0, 0, -9248, 0, 0, 0, 0, 0, 0, 0, 5226, 0, 0, 0, 7702, 0, 0, 0, -552, 0, 0, 0, -12880, 0, 0, 0, -7224, 0, 0, 0, 4950, 0, 0, 0, 0, 0, 0, 0, 2540, 0, 0, 0, 6126, 0, 0, 0, -3256, 0, 0, 0, 7016, 0, 0, 0, 540, 0, 0, 0, 15952, 0, 0, 0, 0, 0, 0, 0, -2544, 0, 0, 0, -4132, 0, 0, 0, -11632, 0, 0, 0, -60, 0, 0, 0, -548, 0, 0, 0, 954, 0, 0, 0, 0, 0, 0, 0, 12932, 0, 0, 0, -352, 0, 0, 0, -2346, 0, 0, 0, -6568, 0, 0, 0, 3004, 0, 0, 0, -4920, 0, 0, 0, 0, 0, 0, 0, -2024, 0, 0, 0, -5448, 0, 0, 0, 6588, 0, 0, 0, -4514, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [-3, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0], [0, 0, 0, 0, 0, 0], [7, 0, 0, 2, 0, -1], [0, 0, 0, 0, 0, 0], [0, 1, -1, 0, -1, 0], [0, 0, 0, 0, 0, 0], [2, 0, 0, 3, 0, -1], [0, 0, 0, 0, 0, 0], [0, -2, -3, 0, -1, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, -3, 3, 0, -2, 0], [0, 0, 0, 0, 0, 0], [3, 0, 0, 4, 0, 1], [0, 0, 0, 0, 0, 0], [0, -3, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [8, 0, 0, -6, 0, -1], [0, 0, 0, 0, 0, 0], [0, 6, -1, 0, -4, 0], [0, 0, 0, 0, 0, 0], [-2, 0, 0, 2, 0, 1], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, 0, -3], [0, 0, 0, 0, 0, 0], [0, 9, -4, 0, -1, 0], [0, 0, 0, 0, 0, 0], [22, 0, 0, -2, 0, 4], [0, 0, 0, 0, 0, 0], [0, -4, 5, 0, 3, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, -3, 0, 0], [0, 0, 0, 0, 0, 0], [0, -29, -1, 0, 2, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 5, -5, 0, -2, 0], [0, 0, 0, 0, 0, 0], [30, 0, 0, -1, 0, 0], [0, 0, 0, 0, 0, 0], [0, -22, 4, 0, 3, 0], [0, 0, 0, 0, 0, 0], [11, 0, 0, -5, 0, 2], [0, 0, 0, 0, 0, 0], [0, -7, 1, 0, -1, 0], [0, 0, 0, 0, 0, 0], [-22, 0, 0, 12, 0, 4], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [56, 0, 0, 11, 0, 5], [0, 0, 0, 0, 0, 0], [0, 38, 1, 0, 1, 0], [0, 0, 0, 0, 0, 0], [10, 0, 0, -1, 0, -5], [0, 0, 0, 0, 0, 0], [0, 11, -5, 0, 2, 0], [0, 0, 0, 0, 0, 0], [11, 0, 0, 0, 0, 3], [0, 0, 0, 0, 0, 0], [0, 7, -2, 0, -5, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, -4, 1, 0, 10, 0], [0, 0, 0, 0, 0, 0], [9, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 5, -5, 0, -7, 0], [0, 0, 0, 0, 0, 0], [84, 0, 0, 10, 0, 6], [0, 0, 0, 0, 0, 0], [0, 2, 4, 0, 7, 0], [0, 0, 0, 0, 0, 0], [-60, 0, 0, -10, 0, -12], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0], [-9, 0, 0, -9, 0, -3], [0, 0, 0, 0, 0, 0], [0, 47, 7, 0, -4, 0], [0, 0, 0, 0, 0, 0], [42, 0, 0, 6, 0, 1], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, -3, 0], [0, 0, 0, 0, 0, 0]], 'ap': [[0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0], [0, 0, 0, 1, 0, 0], [0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0], [7, 0, 0, 2, 0, -1], [2, 0, 0, 3, 0, -1], [0, -2, -3, 0, -1, 0], [0, -3, 3, 0, -2, 0], [8, 0, 0, -6, 0, -1], [0, 6, -1, 0, -4, 0], [-1, 0, 0, 0, 0, -3], [22, 0, 0, -2, 0, 4], [0, -4, 5, 0, 3, 0], [0, -29, -1, 0, 2, 0], [30, 0, 0, -1, 0, 0], [0, -7, 1, 0, -1, 0], [-22, 0, 0, 12, 0, 4], [0, 38, 1, 0, 1, 0], [0, 11, -5, 0, 2, 0], [11, 0, 0, 0, 0, 3], [0, -4, 1, 0, 10, 0], [0, 5, -5, 0, -7, 0], [-60, 0, 0, -10, 0, -12], [42, 0, 0, 6, 0, 1], [102, 0, 0, 8, 0, 0], [0, -28, 19, 0, 3, 0], [0, -11, -7, 0, -5, 0], [113, 0, 0, -2, 0, -5], [36, 0, 0, 11, 0, -15], [0, 4, 15, 0, 10, 0], [0, -78, -6, 0, -5, 0], [148, 0, 0, -20, 0, -2], [0, 62, -11, 0, -3, 0], [-12, 0, 0, -20, 0, 6], [0, 80, -10, 0, -9, 0], [74, 0, 0, -36, 0, -2], [0, -18, 14, 0, 4, 0], [0, -11, 29, 0, 6, 0], [-106, 0, 0, -23, 0, 11], [0, -17, -13, 0, 12, 0], [79, 0, 0, -24, 0, -7], [0, 83, -17, 0, -8, 0], [175, 0, 0, -6, 0, 8], [46, 0, 0, -7, 0, 19], [0, 90, 10, 0, -16, 0], [0, 20, -12, 0, 2, 0], [0, 44, 10, 0, 23, 0], [0, -38, 14, 0, -23, 0], [-209, 0, 0, 20, 0, -7], [100, 0, 0, -15, 0, -17], [0, 158, 16, 0, 14, 0], [-46, 0, 0, 0, 0, -21], [0, 79, -25, 0, 11, 0], [-32, 0, 0, 43, 0, 19], [0, 34, -10, 0, -14, 0], [234, 0, 0, 20, 0, -15], [0, 128, -54, 0, -11, 0], [261, 0, 0, 6, 0, 5], [26, 0, 0, -31, 0, 23], [0, 58, 1, 0, 13, 0], [84, 0, 0, 10, 0, -15], [0, 140, 29, 0, -19, 0], [0, -46, -44, 0, -14, 0], [-267, 0, 0, -4, 0, 14], [-12, 0, 0, 6, 0, -9], [0, -18, -59, 0, -21, 0], [37, 0, 0, -30, 0, 6], [0, -159, -9, 0, -18, 0], [94, 0, 0, 14, 0, 30], [64, 0, 0, -17, 0, 1], [0, -66, 18, 0, 50, 0], [0, 96, -1, 0, 28, 0], [-33, 0, 0, -52, 0, 37], [0, -190, 1, 0, -17, 0], [0, -179, 59, 0, -8, 0], [16, 0, 0, -3, 0, -23], [-271, 0, 0, -8, 0, -29], [130, 0, 0, 21, 0, -23], [-165, 0, 0, 64, 0, 34], [0, -24, -6, 0, 58, 0], [1, 0, 0, -88, 0, 9], [0, 1, 77, 0, 4, 0], [9, 0, 0, -18, 0, 11], [0, 176, 34, 0, -47, 0], [0, -395, -7, 0, 5, 0], [-408, 0, 0, 27, 0, -3], [-43, 0, 0, -12, 0, -62], [268, 0, 0, 40, 0, 34], [0, 50, -67, 0, -57, 0], [0, -349, -17, 0, 36, 0], [0, -263, 23, 0, 40, 0], [0, 30, 31, 0, 36, 0], [0, 22, 56, 0, 27, 0], [0, -138, -5, 0, 23, 0], [0, -314, -4, 0, -34, 0], [436, 0, 0, -119, 0, -14], [72, 0, 0, -34, 0, -12], [0, 116, -35, 0, 33, 0], [-71, 0, 0, -66, 0, 27], [0, -184, -60, 0, -16, 0], [-390, 0, 0, 82, 0, 15], [0, -145, -47, 0, -83, 0], [-262, 0, 0, -98, 0, 56], [0, -114, -73, 0, 3, 0], [-11, 0, 0, 0, 0, 0], [0, -156, 126, 0, 47, 0], [522, 0, 0, -110, 0, 0], [0, -76, -68, 0, -2, 0], [-95, 0, 0, 12, 0, -48], [0, 160, -5, 0, 72, 0], [-342, 0, 0, -54, 0, -56], [-566, 0, 0, -60, 0, 28], [0, -26, 47, 0, 55, 0], [0, -254, 0, 0, -63, 0], [58, 0, 0, -113, 0, 25], [0, 134, -27, 0, 49, 0], [0, 48, -54, 0, -80, 0], [466, 0, 0, -12, 0, 13], [0, 309, -57, 0, -50, 0], [41, 0, 0, -30, 0, 7], [-281, 0, 0, -70, 0, -4], [1028, 0, 0, 40, 0, -19], [0, -417, 3, 0, -13, 0], [0, 310, 51, 0, -51, 0], [-206, 0, 0, -57, 0, -80], [-318, 0, 0, 32, 0, -64], [0, 28, 26, 0, -24, 0], [0, -86, -63, 0, -94, 0], [-37, 0, 0, 84, 0, 3], [0, -456, 37, 0, -25, 0], [0, 106, -28, 0, -36, 0], [0, 592, -53, 0, -22, 0], [-370, 0, 0, 72, 0, 40], [234, 0, 0, -13, 0, -69], [133, 0, 0, -6, 0, 48], [-274, 0, 0, 50, 0, 62], [0, -346, -90, 0, -30, 0], [10, 0, 0, 19, 0, -32], [-364, 0, 0, -15, 0, 11], [0, 18, 114, 0, 78, 0], [536, 0, 0, 45, 0, -16], [0, 92, -16, 0, -40, 0], [0, -163, 7, 0, 79, 0], [-625, 0, 0, 10, 0, 63], [0, -124, -80, 0, 24, 0], [-971, 0, 0, -28, 0, -27], [312, 0, 0, 92, 0, 54], [0, 110, 38, 0, -62, 0], [0, -58, 88, 0, 128, 0], [-574, 0, 0, -2, 0, 0], [-354, 0, 0, -111, 0, 51], [0, 122, 53, 0, 107, 0], [0, 30, -156, 0, -70, 0], [0, -200, 35, 0, 7, 0], [0, 199, 125, 0, 60, 0], [0, 90, 29, 0, 103, 0], [-32, 0, 0, -3, 0, -23], [205, 0, 0, -60, 0, 0], [22, 0, 0, -1, 0, -44], [0, -206, 68, 0, -70, 0], [-282, 0, 0, 63, 0, -27], [0, -484, -59, 0, 38, 0], [0, -333, 171, 0, 25, 0], [862, 0, 0, 96, 0, -68], [0, 465, 51, 0, -38, 0], [0, 150, -171, 0, -40, 0], [-499, 0, 0, -74, 0, -101], [-239, 0, 0, -44, 0, -54], [1236, 0, 0, -62, 0, 15], [0, -344, 14, 0, -39, 0], [-218, 0, 0, -4, 0, -24], [0, 164, 40, 0, -76, 0], [13, 0, 0, -22, 0, 138], [0, -218, -25, 0, -70, 0], [-364, 0, 0, -30, 0, -10], [0, -52, -57, 0, -71, 0], [-88, 0, 0, 41, 0, 86], [0, -130, -18, 0, 12, 0], [-439, 0, 0, -42, 0, 55], [0, 472, 79, 0, 4, 0], [0, 114, 48, 0, -53, 0], [-159, 0, 0, 46, 0, -13], [-302, 0, 0, 13, 0, 103], [0, 440, -98, 0, -8, 0], [-16, 0, 0, -222, 0, -25], [-106, 0, 0, -22, 0, 22], [0, 318, 23, 0, -9, 0], [-415, 0, 0, 206, 0, -44], [0, -350, 140, 0, 90, 0], [179, 0, 0, -62, 0, -78], [0, -475, 139, 0, 29, 0], [0, 262, 34, 0, -28, 0], [-14, 0, 0, -187, 0, 91], [0, -163, 49, 0, 173, 0], [-368, 0, 0, -192, 0, -38], [455, 0, 0, -136, 0, -57], [1210, 0, 0, -92, 0, -72], [-314, 0, 0, -156, 0, -152], [0, -255, 63, 0, 68, 0], [-566, 0, 0, -190, 0, -29], [0, -196, 109, 0, 77, 0], [-98, 0, 0, -224, 0, -16], [-6, 0, 0, -130, 0, 22], [0, 42, -144, 0, -90, 0], [214, 0, 0, 4, 0, 61], [0, -574, 186, 0, 52, 0], [0, 254, -170, 0, -109, 0], [764, 0, 0, -144, 0, 56], [0, -612, 188, 0, -6, 0], [267, 0, 0, -270, 0, 37], [1184, 0, 0, 24, 0, 65], [0, 210, 40, 0, 75, 0], [0, -289, 103, 0, 1, 0], [0, 255, 189, 0, -30, 0], [-571, 0, 0, -66, 0, 115], [0, -146, 188, 0, 1, 0], [-36, 0, 0, -88, 0, 0], [0, 193, 143, 0, 156, 0], [1068, 0, 0, -85, 0, 51], [-515, 0, 0, 252, 0, 87], [0, -426, 125, 0, -45, 0], [-792, 0, 0, -127, 0, 57], [0, -94, -68, 0, -25, 0], [0, 290, 70, 0, -3, 0], [82, 0, 0, -14, 0, -148], [-1076, 0, 0, 50, 0, -92], [0, 908, -122, 0, -82, 0], [0, -526, 57, 0, -18, 0], [0, -45, -105, 0, 84, 0], [1305, 0, 0, 54, 0, -109], [0, -364, -128, 0, -12, 0], [0, 370, -17, 0, 78, 0], [1618, 0, 0, 110, 0, 130], [0, 326, -131, 0, -63, 0], [0, -135, -147, 0, -80, 0], [-161, 0, 0, 212, 0, 50], [1530, 0, 0, 70, 0, 75], [0, -358, -134, 0, 84, 0], [0, -249, 15, 0, -72, 0], [0, 683, 19, 0, 0, 0], [0, -800, 51, 0, -13, 0], [0, -68, -27, 0, 162, 0], [-574, 0, 0, -104, 0, 60], [-1608, 0, 0, 172, 0, -12], [0, -257, -19, 0, 70, 0], [0, 548, -293, 0, -46, 0], [0, -275, -31, 0, -52, 0], [0, -570, 18, 0, -84, 0], [0, -200, 248, 0, 88, 0], [977, 0, 0, -220, 0, -23], [-1302, 0, 0, 47, 0, -51], [0, 16, -202, 0, 44, 0], [1331, 0, 0, -246, 0, -87], [1156, 0, 0, 42, 0, 49], [0, 238, 68, 0, -129, 0], [1477, 0, 0, 38, 0, 63], [0, 618, 211, 0, 125, 0], [236, 0, 0, -59, 0, 158], [346, 0, 0, 68, 0, -15], [0, 608, -37, 0, -57, 0], [0, 270, 60, 0, 83, 0], [491, 0, 0, 2, 0, -15], [-1431, 0, 0, 98, 0, -79], [-482, 0, 0, -94, 0, 214], [0, -20, 127, 0, 169, 0], [970, 0, 0, 56, 0, 61], [-568, 0, 0, 63, 0, 161], [0, 298, -118, 0, -260, 0], [446, 0, 0, -32, 0, 5], [-1063, 0, 0, -232, 0, 79], [0, 818, -282, 0, -62, 0], [-1149, 0, 0, 18, 0, -38], [0, 826, 119, 0, -156, 0], [922, 0, 0, -122, 0, -61], [0, -482, 90, 0, -128, 0], [0, 405, 267, 0, 113, 0], [375, 0, 0, -156, 0, 1], [467, 0, 0, -200, 0, -141], [0, 221, -77, 0, 122, 0], [0, 1064, -236, 0, -98, 0], [0, -780, -103, 0, 54, 0], [0, 312, -42, 0, 134, 0], [-971, 0, 0, -112, 0, 39], [0, -766, 134, 0, 154, 0], [0, 890, 100, 0, 62, 0], [849, 0, 0, -80, 0, 146], [1456, 0, 0, -425, 0, -92], [0, 798, -21, 0, -86, 0], [-1136, 0, 0, -181, 0, -23], [304, 0, 0, 246, 0, 112], [0, 220, 290, 0, -9, 0], [1096, 0, 0, 183, 0, 37], [0, -48, -36, 0, -64, 0], [-881, 0, 0, 452, 0, 125], [106, 0, 0, 92, 0, 67], [0, 116, -233, 0, -73, 0], [554, 0, 0, -63, 0, -97], [0, 611, -65, 0, 140, 0], [0, -164, 245, 0, 235, 0], [1046, 0, 0, 38, 0, 118], [-750, 0, 0, -64, 0, 57], [0, -526, -164, 0, -159, 0]], 'char_orbit_index': 13, 'field_poly': [972, 0, 364, 0, 35, 0, 1], 'hecke_orbit_code': 63051219467241776, 'hecke_ring_character_values': [[1471, [-1, 0, 0, 0, 0, 0]], [1765, [1, 0, 0, 0, 0, 0]], [785, [1, 0, 0, 0, 0, 0]], [2257, [1, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 36, 36, 1, 6, 1], 'hecke_ring_inverse_denominators': [1, 2, 1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0], [0, -1, 1, 0, 0, 0], [-12, 0, 0, 1, 0, 0], [0, 1, -7, 0, 1, 0], [172, 0, 0, -20, 0, 1], [0, 30, 108, 0, -17, 0]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0], [0, 22, 0, 17, 0, 1], [0, 94, 0, 17, 0, 1], [12, 0, 1, 0, 0, 0], [0, 106, 0, 23, 0, 1], [68, 0, 20, 0, 1, 0]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 6, 'label': '2352.3.m.o', 'level': 2352, 'maxp': 1999, 'weight': 3}
• 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

  
  {'Nk2': 21168, 'analytic_conductor': 64.08735817754183, 'char_conductor': 4, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 13, 'char_orbit_label': 'm', 'char_order': 2, 'char_parity': -1, 'char_values': [2352, 2, [1471, 1765, 785, 2257], [1, 2, 2, 2]], 'conrey_index': 1471, 'cusp_dim': 848, 'dim': 82, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [5], 'hecke_orbit_code': 824684054832, 'hecke_orbit_dims': [2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 6, 6, 6, 6, 8, 8], 'label': '2352.3.m', 'level': 2352, '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, 3, 7], 'level_radical': 42, 'mf_dim': 944, 'mf_new_dim': 82, 'num_forms': 18, 'prim_orbit_index': 2, 'relative_dim': 82, 'sturm_bound': 1344, 'trace_bound': 41, 'trace_display': [0, 0, 12, 0], 'traces': [82, 0, 0, 0, 12, 0, 0, 0, -246, 0, 0, 0, -44, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 470, 0, 0, 0, 60, 0, 0, 0, -72, 0, 0, 0, -28, 0, 0, 0, -12, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, -132, 0, 0, 0, -24, 0, 0, 0, 260, 0, 0, 0, 312, 0, 0, 0, 0, 0, 0, 0, -92, 0, 0, 0, 0, 0, 0, 0, 738, 0, 0, 0, 120, 0, 0, 0, -444, 0, 0, 0, 72, 0, 0, 0, 4, 0, 0, 0, 156, 0, 0, 0, 0, 0, 0, 0, -428, 0, 0, 0, -156, 0, 0, 0, 132, 0, 0, 0, -398, 0, 0, 0, 504, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 564, 0, 0, 0, 144, 0, 0, 0, -1080, 0, 0, 0, -372, 0, 0, 0, 36, 0, 0, 0, -892, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 726, 0, 0, 0, 972, 0, 0, 0, 72, 0, 0, 0, 628, 0, 0, 0, -552, 0, 0, 0, 0, 0, 0, 0, 932, 0, 0, 0, 828, 0, 0, 0, -456, 0, 0, 0, -456, 0, 0, 0, 384, 0, 0, 0, -576, 0, 0, 0, 0, 0, 0, 0, 360, 0, 0, 0, -1410, 0, 0, 0, 628, 0, 0, 0, 708, 0, 0, 0, -24, 0, 0, 0, 1348, 0, 0, 0, 0, 0, 0, 0, 72, 0, 0, 0, 672, 0, 0, 0, -2268, 0, 0, 0, -180, 0, 0, 0, -1176, 0, 0, 0, -420, 0, 0, 0, 0, 0, 0, 0, 3604, 0, 0, 0, -156, 0, 0, 0, 720, 0, 0, 0, 1046, 0, 0, 0, 828, 0, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 2712, 0, 0, 0, 1320, 0, 0, 0, -412, 0, 0, 0, -4548, 0, 0, 0, -216, 0, 0, 0, -2116, 0, 0, 0, 0, 0, 0, 0, 84, 0, 0, 0, -92, 0, 0, 0, 576, 0, 0, 0, 1440, 0, 0, 0, 68, 0, 0, 0, -828, 0, 0, 0, 0, 0, 0, 0, -1262, 0, 0, 0, 6072, 0, 0, 0, 36, 0, 0, 0, -1372, 0, 0, 0, -552, 0, 0, 0, -648, 0, 0, 0, 0, 0, 0, 0, -756, 0, 0, 0, -1224, 0, 0, 0, 1124, 0, 0, 0, -1356, 0, 0, 0, 108, 0, 0, 0, 1252, 0, 0, 0, 0, 0, 0, 0, 456, 0, 0, 0, -5708, 0, 0, 0, -612, 0, 0, 0, -432, 0, 0, 0, 452, 0, 0, 0, 3168, 0, 0, 0, 0, 0, 0, 0, -1992, 0, 0, 0, 1620, 0, 0, 0, -456, 0, 0, 0, 2308, 0, 0, 0, -2004, 0, 0, 0, 1008, 0, 0, 0, 0, 0, 0, 0, 672, 0, 0, 0, 396, 0, 0, 0, -472, 0, 0, 0, 6456, 0, 0, 0, -1560, 0, 0, 0, -1032, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, -1560, 0, 0, 0, 2844, 0, 0, 0, 72, 0, 0, 0, 2976, 0, 0, 0, -2796, 0, 0, 0, 0, 0, 0, 0, -2702, 0, 0, 0, -6072, 0, 0, 0, 216, 0, 0, 0, 1492, 0, 0, 0, 5592, 0, 0, 0, -780, 0, 0, 0, 0, 0, 0, 0, -10164, 0, 0, 0, -2448, 0, 0, 0, -1320, 0, 0, 0, -108, 0, 0, 0, -864, 0, 0, 0, 2948, 0, 0, 0, 0, 0, 0, 0, -936, 0, 0, 0, 1200, 0, 0, 0, -2652, 0, 0, 0, -2856, 0, 0, 0, -3388, 0, 0, 0, 4044, 0, 0, 0, 0, 0, 0, 0, 3092, 0, 0, 0, 3588, 0, 0, 0, 0, 0, 0, 0, -902, 0, 0, 0, -408, 0, 0, 0, 1752, 0, 0, 0, 0, 0, 0, 0, 1332, 0, 0, 0, 3312, 0, 0, 0, 2688, 0, 0, 0, 2604, 0, 0, 0, 276, 0, 0, 0, -28, 0, 0, 0, 0, 0, 0, 0, 3240, 0, 0, 0, -1372, 0, 0, 0, -948, 0, 0, 0, 2376, 0, 0, 0, -4776, 0, 0, 0, -3624, 0, 0, 0, 0, 0, 0, 0, -2232, 0, 0, 0, -2820, 0, 0, 0, 2304, 0, 0, 0, -9404, 0, 0, 0, -480, 0, 0, 0, -2880, 0, 0, 0, 0, 0, 0, 0, -6540, 0, 0, 0, -2214, 0, 0, 0, -1580, 0, 0, 0, -6912, 0, 0, 0, 2064, 0, 0, 0, 72, 0, 0, 0, 0, 0, 0, 0, -1512, 0, 0, 0, 3268, 0, 0, 0, 4020, 0, 0, 0, -360, 0, 0, 0, -220, 0, 0, 0, 7932, 0, 0, 0, 0, 0, 0, 0, 6432, 0, 0, 0, 3864, 0, 0, 0, -720, 0, 0, 0, 2984, 0, 0, 0, -5076, 0, 0, 0, 1332, 0, 0, 0, 0, 0, 0, 0, -6252, 0, 0, 0, -1464, 0, 0, 0, 5664, 0, 0, 0, 12444, 0, 0, 0, -3096, 0, 0, 0, -1004, 0, 0, 0, 0, 0, 0, 0, -216, 0, 0, 0, 2294, 0, 0, 0, 708, 0, 0, 0, 72, 0, 0, 0, 4292, 0, 0, 0, -5868, 0, 0, 0, 0, 0, 0, 0, -5784, 0, 0, 0, -8832, 0, 0, 0, -12, 0, 0, 0, 10196, 0, 0, 0, 5700, 0, 0, 0, -3024, 0, 0, 0, 0, 0, 0, 0, -2304, 0, 0, 0, -4896, 0, 0, 0, -5160, 0, 0, 0, 3000, 0, 0, 0, -468, 0, 0, 0, 4128, 0, 0, 0, 0, 0, 0, 0, -2376, 0, 0, 0, -9428, 0, 0, 0, -12, 0, 0, 0, -1872, 0, 0, 0, -5116, 0, 0, 0, 4236, 0, 0, 0, 0, 0, 0, 0, -1640, 0, 0, 0, 6324, 0, 0, 0, -3024, 0, 0, 0, -5582, 0, 0, 0, 1656, 0, 0, 0, 4464, 0, 0, 0, 0, 0, 0, 0, 2388, 0, 0, 0, 1284, 0, 0, 0, 5352, 0, 0, 0, 6432, 0, 0, 0, -696, 0, 0, 0, -5116, 0, 0, 0], 'weight': 3, 'weight_parity': -1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 926459
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 31, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '336.3.be.d', 'target_level': 336, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 3}
  • id: 926460
    {'conductor': 28, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 31, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': True, 'target_label': '336.3.be.d', 'target_level': 336, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '28.f', 'twisting_char_orbit': 6, 'weight': 3}
  • id: 926461
    {'conductor': 7, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 31, 'target_dim': 6, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '336.3.be.f', 'target_level': 336, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '7.d', 'twisting_char_orbit': 4, 'weight': 3}
  • id: 926462
    {'conductor': 28, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 31, 'target_dim': 6, 'target_hecke_orbit': 6, 'target_is_minimal': True, 'target_label': '336.3.be.f', 'target_level': 336, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '28.f', 'twisting_char_orbit': 6, 'weight': 3}
  • id: 926463
    {'conductor': 21, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 56, 'target_dim': 6, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '1008.3.cd.h', 'target_level': 1008, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '21.g', 'twisting_char_orbit': 7, 'weight': 3}
  • id: 926464
    {'conductor': 84, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 56, 'target_dim': 6, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '1008.3.cd.h', 'target_level': 1008, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '84.j', 'twisting_char_orbit': 10, 'weight': 3}
  • id: 926465
    {'conductor': 21, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 56, 'target_dim': 6, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1008.3.cd.i', 'target_level': 1008, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '21.g', 'twisting_char_orbit': 7, 'weight': 3}
  • id: 926466
    {'conductor': 84, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 56, 'target_dim': 6, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '1008.3.cd.i', 'target_level': 1008, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '84.j', 'twisting_char_orbit': 10, 'weight': 3}
  • id: 926467
    {'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 13, 'target_dim': 6, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '2352.3.m.n', 'target_level': 2352, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 3}
  • id: 926468
    {'conductor': 28, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 13, 'target_dim': 6, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '2352.3.m.n', 'target_level': 2352, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '28.d', 'twisting_char_orbit': 4, 'weight': 3}
  • id: 926469
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 13, 'target_dim': 6, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '2352.3.m.o', 'target_level': 2352, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 3}
  • id: 926470
    {'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 13, 'source_dim': 6, 'source_hecke_orbit': 15, 'source_is_minimal': False, 'source_label': '2352.3.m.o', 'source_level': 2352, 'target_char_orbit': 13, 'target_dim': 6, 'target_hecke_orbit': 15, 'target_is_minimal': False, 'target_label': '2352.3.m.o', 'target_level': 2352, 'twist_class_label': '336.3.be.d', 'twist_class_level': 336, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2600100
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 63051219467241776, 'p': 2}
  • id: 2600101
    {'charpoly_factorization': [[[3, 0, 1], 3]], 'hecke_orbit_code': 63051219467241776, 'p': 3}
  • id: 2600102
    {'charpoly_factorization': [[[-84, -44, -1, 1], 2]], 'hecke_orbit_code': 63051219467241776, 'p': 5}
  • id: 2600103
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 63051219467241776, 'p': 7}
  • id: 2600104
    {'charpoly_factorization': [[[432, 0, 12472, 0, 227, 0, 1], 1]], 'hecke_orbit_code': 63051219467241776, 'p': 11}
  • id: 2600105
    {'charpoly_factorization': [[[4312, -175, -22, 1], 2]], 'hecke_orbit_code': 63051219467241776, 'p': 13}
  • id: 2600106
    {'charpoly_factorization': [[[4512, -536, -8, 1], 2]], 'hecke_orbit_code': 63051219467241776, 'p': 17}
  • id: 2600107
    {'charpoly_factorization': [[[1138368, 0, 194401, 0, 1262, 0, 1], 1]], 'hecke_orbit_code': 63051219467241776, 'p': 19}
  • id: 2600108
    {'charpoly_factorization': [[[66382848, 0, 1433152, 0, 2768, 0, 1], 1]], 'hecke_orbit_code': 63051219467241776, 'p': 23}
  • id: 2600109
    {'charpoly_factorization': [[[35952, -1664, -17, 1], 2]], 'hecke_orbit_code': 63051219467241776, 'p': 29}
  • id: 2600110
    {'charpoly_factorization': [[[3756483, 0, 2382507, 0, 3537, 0, 1], 1]], 'hecke_orbit_code': 63051219467241776, 'p': 31}
  • id: 2600111
    {'charpoly_factorization': [[[-13532, -1431, 6, 1], 2]], 'hecke_orbit_code': 63051219467241776, 'p': 37}
  • id: 2600112
    {'charpoly_factorization': [[[37152, -1196, -68, 1], 2]], 'hecke_orbit_code': 63051219467241776, 'p': 41}
  • id: 2600113
    {'charpoly_factorization': [[[7660812, 0, 3962713, 0, 4010, 0, 1], 1]], 'hecke_orbit_code': 63051219467241776, 'p': 43}
  • id: 2600114
    {'charpoly_factorization': [[[7468832448, 0, 20222064, 0, 8628, 0, 1], 1]], 'hecke_orbit_code': 63051219467241776, 'p': 47}
  • id: 2600115
    {'charpoly_factorization': [[[-24696, 2596, -89, 1], 2]], 'hecke_orbit_code': 63051219467241776, 'p': 53}
  • id: 2600116
    {'charpoly_factorization': [[[84672, 0, 23776, 0, 899, 0, 1], 1]], 'hecke_orbit_code': 63051219467241776, 'p': 59}
  • id: 2600117
    {'charpoly_factorization': [[[-271656, -8148, 50, 1], 2]], 'hecke_orbit_code': 63051219467241776, 'p': 61}
  • id: 2600118
    {'charpoly_factorization': [[[84665952108, 0, 60578505, 0, 13722, 0, 1], 1]], 'hecke_orbit_code': 63051219467241776, 'p': 67}
  • id: 2600119
    {'charpoly_factorization': [[[615874752, 0, 5578864, 0, 6164, 0, 1], 1]], 'hecke_orbit_code': 63051219467241776, 'p': 71}
  • id: 2600120
    {'charpoly_factorization': [[[26242, -1011, -36, 1], 2]], 'hecke_orbit_code': 63051219467241776, 'p': 73}
  • id: 2600121
    {'charpoly_factorization': [[[140726403, 0, 118485675, 0, 21777, 0, 1], 1]], 'hecke_orbit_code': 63051219467241776, 'p': 79}
  • id: 2600122
    {'charpoly_factorization': [[[22314082608, 0, 29227912, 0, 11123, 0, 1], 1]], 'hecke_orbit_code': 63051219467241776, 'p': 83}
  • id: 2600123
    {'charpoly_factorization': [[[-3284544, -14000, 202, 1], 2]], 'hecke_orbit_code': 63051219467241776, 'p': 89}
  • id: 2600124
    {'charpoly_factorization': [[[-35252, 4136, -133, 1], 2]], 'hecke_orbit_code': 63051219467241776, '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': 13, 'hecke_orbit': 15, 'label': '2352.3.m.o', 'level': 2352, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 60330439
    {'hecke_orbit_code': 63051219467241776, 'n': 1, 'trace_an': 6}
  • id: 60330440
    {'hecke_orbit_code': 63051219467241776, 'n': 2, 'trace_an': 0}
  • id: 60330441
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  • id: 60330442
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  • id: 60330443
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  • id: 60330444
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  • id: 60330445
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  • id: 60330446
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  • id: 60330447
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  • id: 60330448
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  • id: 60330449
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  • id: 60330450
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  • id: 60330451
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  • id: 60330452
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  • id: 60330453
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  • id: 60330454
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  • id: 60330455
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  • id: 60330456
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  • id: 60330457
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  • id: 60330458
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  • id: 60330459
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  • id: 60330460
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  • id: 60330461
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  • id: 60330462
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  • id: 60330463
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  • id: 60330464
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  • id: 60330465
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  • id: 60330466
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  • id: 60330467
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  • id: 60330468
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  • id: 60330469
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  • id: 60330470
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  • id: 60330471
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  • id: 60330472
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  • id: 60330473
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  • id: 60330474
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  • id: 60330475
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  • id: 60330476
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  • id: 60330477
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  • id: 60330478
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  • id: 60330479
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  • id: 60330480
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  • id: 60330481
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  • id: 60330482
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  • id: 60330483
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  • id: 60330484
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  • id: 60330485
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  • id: 60330486
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  • id: 60330487
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  • id: 60330488
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  • id: 60330489
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  • id: 60330490
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  • id: 60330491
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  • id: 60330492
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  • id: 60330493
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  • id: 60330494
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  • id: 60330495
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  • id: 60330496
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  • id: 60330497
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  • id: 60330498
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  • id: 60330499
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  • id: 60330500
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  • id: 60330501
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  • id: 60330502
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  • id: 60330503
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  • id: 60330504
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  • id: 60330505
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  • id: 60330506
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  • id: 60330507
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  • id: 60330508
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  • id: 60330509
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  • id: 60330510
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  • id: 60330511
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  • id: 60330512
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  • id: 60330513
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  • id: 60330514
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  • id: 60330515
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  • id: 60330516
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  • id: 60330517
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  • id: 60330518
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  • id: 60330519
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  • id: 60330520
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  • id: 60330521
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  • id: 60330522
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  • id: 60330523
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  • id: 60330524
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  • id: 60330525
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  • id: 60330526
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  • id: 60330527
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  • id: 60330528
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  • id: 60330529
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  • id: 60330530
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  • id: 60330531
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  • id: 60330532
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  • id: 60330533
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  • id: 60330534
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  • id: 60330535
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  • id: 60330536
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  • id: 60330537
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  • id: 60330538
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  • id: 60330539
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  • id: 60330540
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  • id: 60330541
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  • id: 60330542
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  • id: 60330543
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  • id: 60330544
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  • id: 60330545
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  • id: 60330546
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  • id: 60330547
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  • id: 60330548
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  • id: 60330549
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  • id: 60330550
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  • id: 60330551
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  • id: 60330552
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  • id: 60330553
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  • id: 60330554
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  • id: 60330555
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  • id: 60330556
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  • id: 60330557
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  • id: 60330558
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  • id: 60330559
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  • id: 60330560
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  • id: 60330561
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  • id: 60330562
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  • id: 60330563
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  • id: 60330564
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  • id: 60330565
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  • id: 60330566
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  • id: 60330567
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  • id: 60330568
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  • id: 60330569
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  • id: 60330570
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  • id: 60330571
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  • id: 60330572
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  • id: 60330573
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  • id: 60330574
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  • id: 60330575
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  • id: 60330576
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  • id: 60330577
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  • id: 60330578
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  • id: 60330579
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  • id: 60330580
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  • id: 60330581
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  • id: 60330582
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  • id: 60330583
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  • id: 60330584
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  • id: 60330585
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  • id: 60330586
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  • id: 60330587
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  • id: 60330588
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  • id: 60330589
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  • id: 60330590
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  • id: 60330591
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  • id: 60330592
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  • id: 60330593
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  • id: 60330594
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  • id: 60330595
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  • id: 60330596
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  • id: 60330597
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  • id: 60330598
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  • id: 60330599
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  • id: 60330600
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  • id: 60330601
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  • id: 60330602
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  • id: 60330603
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  • id: 60330604
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  • id: 60330605
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  • id: 60330606
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  • id: 60330607
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  • id: 60330608
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  • id: 60330609
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  • id: 60330610
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  • id: 60330611
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  • id: 60330612
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  • id: 60330613
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  • id: 60330614
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  • id: 60330615
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  • id: 60330616
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  • id: 60330617
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  • id: 60330618
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  • id: 60330619
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  • id: 60330620
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  • id: 60330621
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  • id: 60330622
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  • id: 60330623
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  • id: 60330624
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  • id: 60330625
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  • id: 60330626
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  • id: 60330627
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  • id: 60330628
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  • id: 60330629
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  • id: 60330630
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  • id: 60330631
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  • id: 60330632
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