Embedded newform data - 882.3.s.h.863.4

Formats: - HTML - YAML - JSON - 2024-05-05T15:51:25.516094

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 7938, 'analytic_conductor': 24.032759316578186, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 21, 'char_degree': 2, 'char_is_minimal': False, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 6, 'char_parity': -1, 'char_values': [882, 6, [785, 199], [3, 4]], 'cm_discs': [], 'conrey_index': 557, 'conrey_indexes': [557, 863], 'dim': 8, 'field_disc': 621801639936, 'field_disc_factorization': [[2, 12], [3, 4], [37, 4]], 'field_poly': [4467, 2196, -1664, -1024, 413, 116, -34, -4, 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, [5476, 0, -74, 0, 1]], [11, [64, 0, -8, 0, 1]], [13, [-148, 0, 1]]], 'hecke_orbit': 8, 'hecke_orbit_code': 31526434392507250, 'hecke_ring_generator_nbound': 25, 'hecke_ring_index': 64, 'hecke_ring_index_factorization': [[2, 6]], 'hecke_ring_index_proved': True, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 7, 3, 1, 3, 0], [1, 1, 7, 4, -1, 6, 0], [1, 1, 21, 8, -1, 6, 0], [1, 1, 21, 7, 1, 6, 0], [1, 1, 3, 2, -1, 2, 0], [1, 1, 7, 2, -1, 2, 0], [1, 1, 21, 3, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '882.3.s.h', 'level': 882, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'minimal_twist': '882.3.b.g', 'nf_label': '8.0.621801639936.1', 'prim_orbit_index': 8, 'qexp_display': 'q-\\beta _{4}q^{2}+2\\beta _{1}q^{4}-\\beta _{2}q^{5}+(-2\\beta _{4}+\\cdots)q^{8}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '2.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '882.3.s', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1465343684374010829, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '7.061', 'prec': 17}, {'__RealLiteral__': 0, 'data': '8.986', 'prec': 17}, {'__RealLiteral__': 0, 'data': '572.541', 'prec': 24}, {'__RealLiteral__': 0, 'data': '2153.561', 'prec': 27}, {'__RealLiteral__': 0, 'data': '72510.865', 'prec': 30}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.765', 'prec': 17}, 'traces': [8, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 32, 0, 0, 196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, -544, 0, 0, 240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -64, 0, 0, 416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, -1776, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -392, 0, 0, 0, 0, 0, 464, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -452, 0, 0, 0, 0, 0, -608, 0, 0, 592, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -400, 0, 0, 0, 0, 0, 96, 0, 0, -640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -168, 0, 0, -544, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -480, 0, 0, 0, 0, 0, 2368, 0, 0, -152, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 888, 0, 0, 0, 0, 0, 352, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 904, 0, 0, 0, 0, 0, -352, 0, 0, -2368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1184, 0, 0, 0, 0, 0, 960, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -832, 0, 0, 0, 0, 0, 1136, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1508, 0, 0, 0, 0, 0, 4736, 0, 0, -232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1184, 0, 0, 0, 0, 0, 320, 0, 0, 176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1552, 0, 0, 0, 0, 0, -1664, 0, 0, -1776, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 1632, 0, 0, -924, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2824, 0, 0, 0, 0, 0, 5664, 0, 0, 1488, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 936, 0, 0, 0, 0, 0, -1568, 0, 0, -1184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1920, 0, 0, 464, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, -3552, 0, 0, 3256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1088, 0, 0, 0, 0, 0, -3488, 0, 0, -1528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 432, 0, 0, 0, 0, 0, -1808, 0, 0, -928, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3024, 0, 0, 0, 0, 0, -4144, 0, 0, -608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1184, 0, 0, 0, 0, 0, -2656, 0, 0, 5084, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2368, 0, 0, 0, 0, 0, -3328, 0, 0, 784, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2616, 0, 0, 0, 0, 0, -1600, 0, 0, -1248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 464, 0, 0, 0, 0, 0, -4736, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1280, 0, 0, 0, 0, 0, -9472, 0, 0, 2056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2204, 0, 0, 0, 0, 0, 5088, 0, 0, 1896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3552, 0, 0, 0, 0, 0, 0, 0, 0, 3552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2640, 0, 0, 0, 0, 0, -2000, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1088, 0, 0, 0, 0, 0, 4128, 0, 0, 2664, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1952, 0, 0, 0, 0, 0, 2368, 0, 0, -1712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2960, 0, 0, 0, 0, 0, -1920, 0, 0, 3680, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, -8128, 0, 0, 2368, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 304, 0, 0, 0, 0, 0, -1488, 0, 0, 800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4736, 0, 0, 0, 0, 0, 14208, 0, 0, -504, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 3552, 0, 0, -4912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5920, 0, 0, 0, 0, 0, 4792, 0, 0, 352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 160, 0, 0, -296, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3528, 0, 0, 0, 0, 0, -1120, 0, 0, 144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4152, 0, 0, 0, 0, 0, 3616, 0, 0, -4912, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6432, 0, 0, 0, 0, 0, 2352, 0, 0, -352, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4736, 0, 0, 0, 0, 0, -2176, 0, 0, -2960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1476, 0, 0, 0, 0, 0, -2080, 0, 0, -7696, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -2544, 0, 0, 0, 0, 0, 4736, 0, 0, -5984, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 3, '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], [0.6123724356957945, 0.3535533905932738], [0.0, 0.0], [0.25, 0.4330127018922193], [1.489966442575134, 0.8602325267042626], [0.0, 0.0], [0.0, 0.0], [0.0, 0.3535533905932738], [0.0, 0.0], [0.608276253029822, 1.0535653752852738], [0.22268088570756164, -0.128564869306645], [0.0, 0.0], [0.93580962004588, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.125, 0.21650635094610965], [-1.3146762728604122, 0.7590287000331729], [0.0, 0.0], [0.6402907926629705, -1.1090161845108146], [0.0, 0.8602325267042626], [0.0, 0.0], [0.18181818181818182, 0.0], [1.5974933105107683, 0.9223131928520185], [0.0, 0.0], [0.98, 1.6974097914174997], [0.5730640163750516, 0.3308586641170241], [0.0, 0.0], [0.0, 0.0], [0.0, 0.5364258340035878], [0.0, 0.0], [-0.3924362922773045, -0.6797195969582412], [-0.15309310892394862, 0.08838834764831845], [0.0, 0.0], [-1.0734286818173329, 0.0], [0.0, 0.0], [0.0, 0.0], [0.08108108108108109, -0.1404365519650441], [0.7841928645132284, -0.45275396142329616], [0.0, 0.0], [-0.304138126514911, 0.5267826876426369], [0.0, -0.6294384341738507], [0.0, 0.0], [-1.5813953488372092, 0.0], [0.11134044285378082, 0.0642824346533225], [0.0, 0.0], [0.6521739130434783, 1.1295983527623112], [-1.2680565468724545, -0.7321127886844788], [0.0, 0.0], [0.0, 0.0], [0.0, 1.3859292911256331], [0.0, 0.0], [0.23395240501147, 0.40521745203279763], [0.6701434201953977, -0.3869074840454694], [0.0, 0.0], [0.44238272947623414, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.1896551724137931, 0.328492394538925], [1.0101467407289044, -0.5832084926808561], [0.0, 0.0], [-0.797739348235832, 1.3817250823413427], [0.0, -0.5549887269059759], [0.0, 0.0], [-0.125, 0.0], [1.3943249305073475, 0.8050138739662234], [0.0, 0.0], [0.7761194029850746, 1.3442782387101735], [-0.6573381364302061, -0.37951435001658645], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9959250439247148], [0.0, 0.0], [-0.4166275705683712, -0.7216201200584068], [0.09930363822093966, -0.05733298225836872], [0.0, 0.0], [0.6402907926629705, 0.0], [0.0, 0.0], [0.0, 0.0], [0.12658227848101267, -0.2192469376669465], [-0.3724916106437835, 0.21505813167606566], [0.0, 0.0], [0.2225400925718861, -0.385450747055588], [0.0, 0.0], [0.0, 0.0], [-2.611764705882353, 0.0], [-0.9684029215654425, -0.5591076874498283], [0.0, 0.0], [0.045454545454545456, 0.0787295821622217], [0.9207657791194648, 0.5316043704352185], [0.0, 0.0], [0.0, 0.0], [0.0, 0.9223131928520185], [0.0, 0.0], [-0.517681917472189, -0.8966513832215097], [1.9080235891153177, -1.1015979327958845], [0.0, 0.0], [-1.6304311936881826, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.49, 0.8487048957087499], [-0.5163250048527692, 0.2981003805410811], [0.0, 0.0], [0.8267832565453891, -1.4320306071838673], [0.0, 0.3308586641170241], [0.0, 0.0], [0.5471698113207547, 0.0], [0.16024699251852567, 0.09251864426739874], [0.0, 0.0], [0.25688073394495414, 0.4449304826782437], [0.2709029895591153, 0.15640591394622957], [0.0, 0.0], [0.0, 0.0], [0.0, -1.4142135623730951], [0.0, 0.0], [1.5868076165995355, 2.748431413787671], [-0.23227919974668068, 0.13410645850089695], [0.0, 0.0], [0.8247813600404366, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4669421487603306, 0.8087675258482774], [-0.9770271754591042, 0.5640869027568935], [0.0, 0.0], [0.19621814613865224, -0.3398597984791206], [0.0, 1.6516464512721842], [0.0, 0.0], [-0.5984251968503937, 0.0], [-0.07654655446197431, -0.04419417382415922], [0.0, 0.0], [0.5692307692307692, 0.985936613539207], [0.6824273782786873, 0.39399963055157067], [0.0, 0.0], [0.0, 0.0], [0.0, 1.0975985857224022], [0.0, 0.0], [-0.2683571704543332, -0.4648082538023267], [0.6347217946627943, -0.3664567990090867], [0.0, 0.0], [1.050261156310484, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.352112676056338, 0.6098770449186187], [0.20838691504547327, -0.12031224149709968], [0.0, 0.0], [-0.4614509505743477, 0.799256491595725], [0.0, -0.5892003607563443], [0.0, 0.0], [0.08108108108108109, 0.0], [-0.23837316288829585, -0.1376248097611401], [0.0, 0.0], [-0.5298013245033113, -0.9176428119570211], [0.3920964322566142, 0.22637698071164808], [0.0, 0.0], [0.0, 0.0], [0.0, -1.3503458531046326], [0.0, 0.0], [-0.6198993661450415, -1.0736971977429544], [0.15503099637868215, -0.08950718749196804], [0.0, 0.0], [-0.304138126514911, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.27255483705642697, -0.15735960854346268], [0.0, 0.0], [0.0, 0.0], [0.0, -1.0302185948554043], [0.0, 0.0], [-0.1242603550295858, 0.0], [-1.5993727144054868, -0.9233982671965503], [0.0, 0.0], [-0.3953488372093023, -0.6847642727597887], [-0.04306261394725821, -0.02486221175445846], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0642824346533225], [0.0, 0.0], [0.37590105524314843, 0.6510797262998883], [0.6978993121896205, -0.4029323557599321], [0.0, 0.0], [-0.06721284563865436, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.32608695652173914, 0.5647991763811556], [0.24161617987704875, -0.13949716649258315], [0.0, 0.0], [-0.19516885123951508, 0.33804236640169216], [0.0, -0.7321127886844788], [0.0, 0.0], [1.5578947368421052, 0.0], 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-0.44904482215821373, -0.39514099479718157, -0.29739947289724955, -0.2701049712162988, -0.23423186443127458, 0.23031879179476927, 0.05807397783934309, 0.08295914677667987, -0.15172737290365995, -0.39646627901405757, 0.0, -0.07746133362015659, -0.40169079220838927, -0.3815098423450901, -0.26175081999583955, -0.1519207791305831, -0.04198595527912282, -0.375, -0.29836198918851664, -0.10221222728518574, -0.2736187107354453, -0.1620082385383868, -0.18864007623080284, -0.4944665774763, -0.4769200388084419, -0.4166666666666667, -0.41387566428416334, -0.17062401832769308, -0.2673288259648618, -0.2553496356060463, -0.045780324800315124, -0.09902685554921645, -0.43102260738587084, -0.47865015524536353, -0.23337543073263683, -0.3218789183884304, -0.3212591769198395, -0.4208946823958499, -0.26507114155787653, -0.47446322350764936, -0.12810886671054705, -0.45579717688693616, -0.08601363488887805, -0.4069645286860028, -0.3987824850531132, -0.317491207681652, -0.1017606073898653, -0.3461882876276483, 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• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  ALdims	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_prime	boolean
  level_is_prime_power	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': 7938, 'analytic_conductor': 24.032759316578186, 'char_conductor': 21, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 19, 'char_orbit_label': 's', 'char_order': 6, 'char_parity': -1, 'char_values': [882, 6, [785, 199], [3, 4]], 'conrey_index': 557, 'cusp_dim': 608, 'dim': 56, 'eis_dim': 128, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11, 13], 'hecke_orbit_code': 1237000913778, 'hecke_orbit_dims': [4, 4, 4, 4, 8, 8, 8, 8, 8], 'label': '882.3.s', 'level': 882, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 7], 'level_radical': 42, 'mf_dim': 736, 'mf_new_dim': 56, 'num_forms': 9, 'prim_orbit_index': 8, 'relative_dim': 28, 'sturm_bound': 504, 'trace_bound': 25, 'trace_display': [0, 0, 0, 0], 'traces': [56, 0, 0, 56, 0, 0, 0, 0, 0, -16, 0, 0, -56, 0, 0, -112, 0, 0, 20, 0, 0, 0, 0, 0, 252, 0, 0, 0, 0, 0, 100, 0, 0, -32, 0, 0, -196, 0, 0, 32, 0, 0, -280, 0, 0, 224, 0, 0, 0, 0, 0, -56, 0, 0, -176, 0, 0, -224, 0, 0, 64, 0, 0, -448, 0, 0, 588, 0, 0, 0, 0, 0, -60, 0, 0, 80, 0, 0, -364, 0, 0, -96, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, -480, 0, 0, -504, 0, 0, 116, 0, 0, -672, 0, 0, 868, 0, 0, 0, 0, 0, 208, 0, 0, 992, 0, 0, 140, 0, 0, -200, 0, 0, 2520, 0, 0, 112, 0, 0, 0, 0, 0, -32, 0, 0, 744, 0, 0, -112, 0, 0, -352, 0, 0, -784, 0, 0, -112, 0, 0, 0, 0, 0, 896, 0, 0, 128, 0, 0, 1232, 0, 0, 256, 0, 0, -1456, 0, 0, -280, 0, 0, 0, 0, 0, -768, 0, 0, -104, 0, 0, -448, 0, 0, -592, 0, 0, 896, 0, 0, -2660, 0, 0, 0, 0, 0, -592, 0, 0, -448, 0, 0, 392, 0, 0, 112, 0, 0, 1568, 0, 0, 0, 0, 0, 0, 0, 0, -176, 0, 0, -832, 0, 0, 112, 0, 0, 1620, 0, 0, -896, 0, 0, -728, 0, 0, 0, 0, 0, 56, 0, 0, 256, 0, 0, 2548, 0, 0, -576, 0, 0, 224, 0, 0, -448, 0, 0, 0, 0, 0, 272, 0, 0, -1056, 0, 0, -1176, 0, 0, -608, 0, 0, -448, 0, 0, -1316, 0, 0, 0, 0, 0, 492, 0, 0, 672, 0, 0, 1204, 0, 0, 120, 0, 0, 2464, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, -888, 0, 0, 896, 0, 0, 804, 0, 0, -1456, 0, 0, -1232, 0, 0, 0, 0, 0, 676, 0, 0, -384, 0, 0, 252, 0, 0, -160, 0, 0, -3752, 0, 0, -448, 0, 0, 0, 0, 0, 752, 0, 0, 1056, 0, 0, 0, 0, 0, -680, 0, 0, 6048, 0, 0, -56, 0, 0, 0, 0, 0, -436, 0, 0, -1184, 0, 0, -1988, 0, 0, 384, 0, 0, 7112, 0, 0, -112, 0, 0, 0, 0, 0, -480, 0, 0, 128, 0, 0, 4592, 0, 0, -332, 0, 0, -2016, 0, 0, 3780, 0, 0, 0, 0, 0, -1084, 0, 0, 464, 0, 0, -3080, 0, 0, 1088, 0, 0, 1960, 0, 0, -672, 0, 0, 0, 0, 0, 64, 0, 0, 920, 0, 0, -1736, 0, 0, -128, 0, 0, 672, 0, 0, -2128, 0, 0, 0, 0, 0, -2328, 0, 0, -2208, 0, 0, 1148, 0, 0, -416, 0, 0, -15288, 0, 0, -3472, 0, 0, 0, 0, 0, 992, 0, 0, 552, 0, 0, 1344, 0, 0, 620, 0, 0, 560, 0, 0, 588, 0, 0, 0, 0, 0, 640, 0, 0, -800, 0, 0, -2436, 0, 0, -528, 0, 0, -784, 0, 0, 2520, 0, 0, 0, 0, 0, 432, 0, 0, 2256, 0, 0, -224, 0, 0, -2404, 0, 0, 1568, 0, 0, 2436, 0, 0, 0, 0, 0, 528, 0, 0, 4352, 0, 0, 2212, 0, 0, 64, 0, 0, 8512, 0, 0, 5824, 0, 0, 0, 0, 0, 744, 0, 0, 5192, 0, 0, -560, 0, 0, 440, 0, 0, -448, 0, 0, -1708, 0, 0, 0, 0, 0, 1284, 0, 0, -1408, 0, 0, -8064, 0, 0, 480, 0, 0, -12600, 0, 0, -784, 0, 0, 0, 0, 0, 912, 0, 0, -2104, 0, 0, 224, 0, 0, -332, 0, 0, -4928, 0, 0, 224, 0, 0, 0, 0, 0, -2580, 0, 0, -4384, 0, 0, -1540, 0, 0, -1792, 0, 0, -7392, 0, 0, 1792, 0, 0, 0, 0, 0, 128, 0, 0, 2792, 0, 0, 1456, 0, 0, 880, 0, 0, 4928, 0, 0, 11592, 0, 0, 0, 0, 0, -1668, 0, 0, 1024, 0, 0, -1904, 0, 0, 992, 0, 0, -952, 0, 0, -1456, 0, 0, 0, 0, 0, 1632, 0, 0, -64, 0, 0, 560, 0, 0, -52, 0, 0, 13440, 0, 0, 5600, 0, 0, 0, 0, 0, -2972, 0, 0, -3936, 0, 0, -4928, 0, 0, 1536, 0, 0, 15568, 0, 0, -1456, 0, 0, 0, 0, 0, -104, 0, 0, -6840, 0, 0, -3920, 0, 0, 940, 0, 0, -1792, 0, 0, 4452, 0, 0, 0, 0, 0, 1728, 0, 0, -2368, 0, 0, 2436, 0, 0, -864, 0, 0, -15568, 0, 0, 896, 0, 0, 0, 0, 0, -176, 0, 0, -792, 0, 0, 5320, 0, 0, 796, 0, 0, -9184, 0, 0, -4984, 0, 0, 0, 0, 0, 520, 0, 0, 3264, 0, 0, -10752, 0, 0, 1184, 0, 0, 9632, 0, 0, 1680, 0, 0, 0, 0, 0, -448, 0, 0, 6672, 0, 0, -2576, 0, 0, 3268, 0, 0, 1568, 0, 0, -6272, 0, 0, 0, 0, 0, 2844, 0, 0, 448, 0, 0, 12488, 0, 0, -528, 0, 0, 4760, 0, 0, 1568, 0, 0, 0, 0, 0, -400, 0, 0, -7960, 0, 0, 0, 0, 0, -5752, 0, 0, -4256, 0, 0, -10976, 0, 0, 0, 0, 0, 1484, 0, 0, -544, 0, 0, 2016, 0, 0, 352, 0, 0, -9352, 0, 0, 1568, 0, 0, 0, 0, 0, -832, 0, 0, 240, 0, 0, 1008, 0, 0, -960, 0, 0, 448, 0, 0, 1036, 0, 0, 0, 0, 0, 104, 0, 0, 6480, 0, 0, 8204, 0, 0, 512, 0, 0, -11144, 0, 0, -896, 0, 0, 0, 0, 0, -1216, 0, 0, -1096, 0, 0, 1456, 0, 0, 2064, 0, 0, -7616, 0, 0, 4452, 0, 0, 0, 0, 0, 360, 0, 0, -1568, 0, 0, -6328, 0, 0, -112, 0, 0, 37800, 0, 0, -16128, 0, 0, 0, 0, 0, 256, 0, 0, -3072, 0, 0, -1680, 0, 0, 304, 0, 0, 10192, 0, 0, 2380, 0, 0, 0, 0, 0, -2044, 0, 0, -2304], 'weight': 3, '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: 46402943
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 863, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31526434392507250, 'target_is_minimal': False, 'target_label': '882.3.s.h.863.4', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 3}
  • id: 46402944
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 863, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31526434392507250, 'target_is_minimal': False, 'target_label': '882.3.s.h.863.1', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 46402945
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 197, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021666534032242, 'target_is_minimal': True, 'target_label': '882.3.b.g.197.1', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '7.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 46402946
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 557, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31526434392507250, 'target_is_minimal': False, 'target_label': '882.3.s.h.557.2', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '7.3', 'twisting_conrey_index': 3, 'weight': 3}
  • id: 46402947
    {'conductor': 7, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 557, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 31526434392507250, 'target_is_minimal': False, 'target_label': '882.3.s.h.557.1', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '7.4', 'twisting_conrey_index': 4, 'weight': 3}
  • id: 46402948
    {'conductor': 7, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 197, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 27021666534032242, 'target_is_minimal': True, 'target_label': '882.3.b.g.197.2', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '7.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 46402949
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 863, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 31526434392507250, 'target_is_minimal': False, 'target_label': '882.3.s.h.863.3', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 3}
  • id: 46402950
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 197, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27021666534032242, 'target_is_minimal': True, 'target_label': '882.3.b.g.197.4', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '21.2', 'twisting_conrey_index': 2, 'weight': 3}
  • id: 46402951
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 197, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 27021666534032242, 'target_is_minimal': True, 'target_label': '882.3.b.g.197.3', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '21.5', 'twisting_conrey_index': 5, 'weight': 3}
  • id: 46402952
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 557, 'target_dim': 8, 'target_embedding_index': 4, 'target_hecke_orbit_code': 31526434392507250, 'target_is_minimal': False, 'target_label': '882.3.s.h.557.4', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '21.11', 'twisting_conrey_index': 11, 'weight': 3}
  • id: 46402953
    {'conductor': 21, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 557, 'target_dim': 8, 'target_embedding_index': 3, 'target_hecke_orbit_code': 31526434392507250, 'target_is_minimal': False, 'target_label': '882.3.s.h.557.3', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '21.17', 'twisting_conrey_index': 17, 'weight': 3}
  • id: 46402954
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 863, 'source_dim': 8, 'source_embedding_index': 4, 'source_hecke_orbit_code': 31526434392507250, 'source_is_minimal': False, 'source_label': '882.3.s.h.863.4', 'source_level': 882, 'target_conrey_index': 863, 'target_dim': 8, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31526434392507250, 'target_is_minimal': False, 'target_label': '882.3.s.h.863.2', 'target_level': 882, 'twist_class_label': '882.3.b.g.197.1', 'twist_class_level': 882, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 3}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1446800
    {'charpoly_factorization': [[[4, 0, -2, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 2}
  • id: 1446801
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 31526434392507250, 'p': 3}
  • id: 1446802
    {'charpoly_factorization': [[[5476, 0, -74, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 5}
  • id: 1446803
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 31526434392507250, 'p': 7}
  • id: 1446804
    {'charpoly_factorization': [[[64, 0, -8, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 11}
  • id: 1446805
    {'charpoly_factorization': [[[-148, 0, 1], 4]], 'hecke_orbit_code': 31526434392507250, 'p': 13}
  • id: 1446806
    {'charpoly_factorization': [[[443556, 0, -666, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 17}
  • id: 1446807
    {'charpoly_factorization': [[[350464, 0, 592, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 19}
  • id: 1446808
    {'charpoly_factorization': [[[3240000, 0, -1800, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 23}
  • id: 1446809
    {'charpoly_factorization': [[[242, 0, 1], 4]], 'hecke_orbit_code': 31526434392507250, 'p': 29}
  • id: 1446810
    {'charpoly_factorization': [[[350464, 0, 592, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 31}
  • id: 1446811
    {'charpoly_factorization': [[[36, -6, 1], 4]], 'hecke_orbit_code': 31526434392507250, 'p': 37}
  • id: 1446812
    {'charpoly_factorization': [[[666, 0, 1], 4]], 'hecke_orbit_code': 31526434392507250, 'p': 41}
  • id: 1446813
    {'charpoly_factorization': [[[68, 1], 8]], 'hecke_orbit_code': 31526434392507250, 'p': 43}
  • id: 1446814
    {'charpoly_factorization': [[[22429696, 0, -4736, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 47}
  • id: 1446815
    {'charpoly_factorization': [[[2829124, 0, -1682, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 53}
  • id: 1446816
    {'charpoly_factorization': [[[22429696, 0, -4736, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 59}
  • id: 1446817
    {'charpoly_factorization': [[[89718784, 0, 9472, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 61}
  • id: 1446818
    {'charpoly_factorization': [[[10816, -104, 1], 4]], 'hecke_orbit_code': 31526434392507250, 'p': 67}
  • id: 1446819
    {'charpoly_factorization': [[[5000, 0, 1], 4]], 'hecke_orbit_code': 31526434392507250, 'p': 71}
  • id: 1446820
    {'charpoly_factorization': [[[13690000, 0, 3700, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 73}
  • id: 1446821
    {'charpoly_factorization': [[[400, -20, 1], 4]], 'hecke_orbit_code': 31526434392507250, 'p': 79}
  • id: 1446822
    {'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 31526434392507250, 'p': 83}
  • id: 1446823
    {'charpoly_factorization': [[[80174116, 0, -8954, 0, 1], 2]], 'hecke_orbit_code': 31526434392507250, 'p': 89}
  • id: 1446824
    {'charpoly_factorization': [[[-25012, 0, 1], 4]], 'hecke_orbit_code': 31526434392507250, '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': 19, 'hecke_orbit': 8, 'label': '882.3.s.h', 'level': 882, 'portrait': 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', 'weight': 3}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 194653000
    {'hecke_orbit_code': 31526434392507250, 'n': 1, 'trace_an': 8}
  • id: 194653001
    {'hecke_orbit_code': 31526434392507250, 'n': 2, 'trace_an': 0}
  • id: 194653002
    {'hecke_orbit_code': 31526434392507250, 'n': 3, 'trace_an': 0}
  • id: 194653003
    {'hecke_orbit_code': 31526434392507250, 'n': 4, 'trace_an': 8}
  • id: 194653004
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  • id: 194653005
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  • id: 194653006
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  • id: 194653007
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  • id: 194653008
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  • id: 194653009
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  • id: 194653010
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  • id: 194653011
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  • id: 194653012
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  • id: 194653013
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  • id: 194653014
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  • id: 194653015
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  • id: 194653016
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  • id: 194653017
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  • id: 194653018
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  • id: 194653019
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  • id: 194653020
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  • id: 194653021
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  • id: 194653022
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  • id: 194653023
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  • id: 194653024
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  • id: 194653025
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  • id: 194653026
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  • id: 194653027
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  • id: 194653028
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  • id: 194653029
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  • id: 194653030
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  • id: 194653031
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  • id: 194653032
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  • id: 194653033
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  • id: 194653034
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  • id: 194653035
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  • id: 194653036
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  • id: 194653037
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  • id: 194653038
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  • id: 194653039
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  • id: 194653040
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  • id: 194653041
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  • id: 194653042
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  • id: 194653043
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  • id: 194653044
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  • id: 194653045
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  • id: 194653046
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  • id: 194653047
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  • id: 194653048
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  • id: 194653049
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  • id: 194653050
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  • id: 194653051
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  • id: 194653052
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  • id: 194653053
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  • id: 194653054
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  • id: 194653055
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  • id: 194653056
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  • id: 194653057
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  • id: 194653058
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  • id: 194653059
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  • id: 194653060
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  • id: 194653061
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  • id: 194653062
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  • id: 194653063
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  • id: 194653064
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  • id: 194653065
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  • id: 194653066
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  • id: 194653067
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  • id: 194653068
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  • id: 194653069
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  • id: 194653070
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  • id: 194653071
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  • id: 194653072
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  • id: 194653073
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  • id: 194653074
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  • id: 194653075
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  • id: 194653076
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  • id: 194653077
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  • id: 194653078
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  • id: 194653079
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  • id: 194653080
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  • id: 194653081
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  • id: 194653082
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  • id: 194653083
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  • id: 194653084
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  • id: 194653085
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  • id: 194653086
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  • id: 194653087
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  • id: 194653088
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  • id: 194653089
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  • id: 194653090
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  • id: 194653091
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  • id: 194653092
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  • id: 194653093
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  • id: 194653094
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  • id: 194653095
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  • id: 194653096
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  • id: 194653097
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  • id: 194653098
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  • id: 194653099
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  • id: 194653100
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  • id: 194653101
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  • id: 194653102
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  • id: 194653103
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  • id: 194653104
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  • id: 194653105
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  • id: 194653106
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  • id: 194653107
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  • id: 194653108
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  • id: 194653109
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  • id: 194653110
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  • id: 194653111
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  • id: 194653112
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  • id: 194653113
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  • id: 194653114
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  • id: 194653115
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  • id: 194653116
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  • id: 194653117
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  • id: 194653118
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  • id: 194653119
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  • id: 194653120
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  • id: 194653121
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  • id: 194653122
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  • id: 194653123
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  • id: 194653124
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  • id: 194653125
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  • id: 194653126
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  • id: 194653127
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  • id: 194653128
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  • id: 194653129
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  • id: 194653130
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  • id: 194653131
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  • id: 194653132
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  • id: 194653133
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  • id: 194653134
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  • id: 194653135
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  • id: 194653136
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  • id: 194653137
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  • id: 194653138
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  • id: 194653139
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  • id: 194653140
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  • id: 194653141
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  • id: 194653142
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  • id: 194653143
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  • id: 194653144
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  • id: 194653145
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  • id: 194653146
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  • id: 194653147
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  • id: 194653148
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  • id: 194653149
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  • id: 194653150
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  • id: 194653151
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  • id: 194653152
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  • id: 194653153
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  • id: 194653154
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  • id: 194653155
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  • id: 194653156
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  • id: 194653157
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  • id: 194653158
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  • id: 194653159
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  • id: 194653160
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  • id: 194653161
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  • id: 194653162
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  • id: 194653163
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  • id: 194653164
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  • id: 194653166
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  • id: 194653167
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  • id: 194653168
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  • id: 194653171
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  • id: 194653172
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  • id: 194653192
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  • id: 194653200
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  • id: 194653213
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  • id: 194653216
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  • id: 194653394
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  • id: 194653399
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  • id: 194653402
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  • id: 194653403
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  • id: 194653407
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  • id: 194653409
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  • id: 194653410
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  • id: 194653416
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  • id: 194653435
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  • id: 194653465
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  • id: 194653491
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  • id: 194653965
    {'hecke_orbit_code': 31526434392507250, 'n': 966, 'trace_an': 0}
  • id: 194653966
    {'hecke_orbit_code': 31526434392507250, 'n': 967, 'trace_an': -2080}
  • id: 194653967
    {'hecke_orbit_code': 31526434392507250, 'n': 968, 'trace_an': 0}
  • id: 194653968
    {'hecke_orbit_code': 31526434392507250, 'n': 969, 'trace_an': 0}
  • id: 194653969
    {'hecke_orbit_code': 31526434392507250, 'n': 970, 'trace_an': -7696}
  • id: 194653970
    {'hecke_orbit_code': 31526434392507250, 'n': 971, 'trace_an': 0}
  • id: 194653971
    {'hecke_orbit_code': 31526434392507250, 'n': 972, 'trace_an': 0}
  • id: 194653972
    {'hecke_orbit_code': 31526434392507250, 'n': 973, 'trace_an': 0}
  • id: 194653973
    {'hecke_orbit_code': 31526434392507250, 'n': 974, 'trace_an': 0}
  • id: 194653974
    {'hecke_orbit_code': 31526434392507250, 'n': 975, 'trace_an': 0}
  • id: 194653975
    {'hecke_orbit_code': 31526434392507250, 'n': 976, 'trace_an': 0}
  • id: 194653976
    {'hecke_orbit_code': 31526434392507250, 'n': 977, 'trace_an': 0}
  • id: 194653977
    {'hecke_orbit_code': 31526434392507250, 'n': 978, 'trace_an': 0}
  • id: 194653978
    {'hecke_orbit_code': 31526434392507250, 'n': 979, 'trace_an': 0}
  • id: 194653979
    {'hecke_orbit_code': 31526434392507250, 'n': 980, 'trace_an': 0}
  • id: 194653980
    {'hecke_orbit_code': 31526434392507250, 'n': 981, 'trace_an': 0}
  • id: 194653981
    {'hecke_orbit_code': 31526434392507250, 'n': 982, 'trace_an': -2544}
  • id: 194653982
    {'hecke_orbit_code': 31526434392507250, 'n': 983, 'trace_an': 0}
  • id: 194653983
    {'hecke_orbit_code': 31526434392507250, 'n': 984, 'trace_an': 0}
  • id: 194653984
    {'hecke_orbit_code': 31526434392507250, 'n': 985, 'trace_an': 0}
  • id: 194653985
    {'hecke_orbit_code': 31526434392507250, 'n': 986, 'trace_an': 0}
  • id: 194653986
    {'hecke_orbit_code': 31526434392507250, 'n': 987, 'trace_an': 0}
  • id: 194653987
    {'hecke_orbit_code': 31526434392507250, 'n': 988, 'trace_an': 4736}
  • id: 194653988
    {'hecke_orbit_code': 31526434392507250, 'n': 989, 'trace_an': 0}
  • id: 194653989
    {'hecke_orbit_code': 31526434392507250, 'n': 990, 'trace_an': 0}
  • id: 194653990
    {'hecke_orbit_code': 31526434392507250, 'n': 991, 'trace_an': -5984}
  • id: 194653991
    {'hecke_orbit_code': 31526434392507250, 'n': 992, 'trace_an': 0}
  • id: 194653992
    {'hecke_orbit_code': 31526434392507250, 'n': 993, 'trace_an': 0}
  • id: 194653993
    {'hecke_orbit_code': 31526434392507250, 'n': 994, 'trace_an': 0}
  • id: 194653994
    {'hecke_orbit_code': 31526434392507250, 'n': 995, 'trace_an': 0}
  • id: 194653995
    {'hecke_orbit_code': 31526434392507250, 'n': 996, 'trace_an': 0}
  • id: 194653996
    {'hecke_orbit_code': 31526434392507250, 'n': 997, 'trace_an': 0}
  • id: 194653997
    {'hecke_orbit_code': 31526434392507250, 'n': 998, 'trace_an': 0}
  • id: 194653998
    {'hecke_orbit_code': 31526434392507250, 'n': 999, 'trace_an': 0}
  • id: 194653999
    {'hecke_orbit_code': 31526434392507250, 'n': 1000, 'trace_an': 0}