Embedded newform data - 260.2.bf.b.137.1

Formats: - HTML - YAML - JSON - 2024-04-23T11:12:38.167552

• 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': 1040, 'analytic_conductor': 2.07611045255329, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 65, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 32, 'char_orbit_label': 'bf', 'char_order': 12, 'char_parity': 1, 'char_values': [260, 12, [131, 157, 41], [12, 3, 7]], 'cm_discs': [], 'conrey_index': 37, 'conrey_indexes': [37, 93, 137, 253], 'dim': 4, 'field_disc': 144, 'field_disc_factorization': [[2, 4], [3, 2]], 'field_poly': [1, 0, -1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 12, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [1, -2, 5, -4, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505729964704004, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 65, 20, 1, 12, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '260.2.bf.b', 'level': 260, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 13], 'level_radical': 130, 'minimal_twist': '260.2.bf.b', 'nf_label': '4.0.144.1', 'prim_orbit_index': 20, 'qexp_display': 'q+(1-\\zeta_{12})q^{3}+(-1+2\\zeta_{12}^{3})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c12', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '260.2.bf', 'trace_display': [0, 4, -4, 2], 'trace_hash': 782518056660612780, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.843', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '47.623', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '974.833', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.094', 'prec': 17}, 'traces': [4, 0, 4, 0, -4, 0, 2, 0, 6, 0, -8, 0, 12, 0, 0, 0, 0, 0, 8, 0, 14, 0, -4, 0, -12, 0, -2, 0, 6, 0, 0, 0, -6, 0, -26, 0, -10, 0, 8, 0, 20, 0, 4, 0, -10, 0, -16, 0, -12, 0, 0, 0, -4, 0, -12, 0, 0, 0, 8, 0, 18, 0, -6, 0, 4, 0, -6, 0, -14, 0, -8, 0, 0, 0, -20, 0, -34, 0, 0, 0, -4, 0, -16, 0, 12, 0, 6, 0, 28, 0, 30, 0, 18, 0, 12, 0, -6, 0, -20, 0, -18, 0, 24, 0, -42, 0, 12, 0, 28, 0, -10, 0, -8, 0, 32, 0, 22, 0, 30, 0, -18, 0, 10, 0, 44, 0, -4, 0, 8, 0, -32, 0, 34, 0, -2, 0, 6, 0, 18, 0, 8, 0, -4, 0, -6, 0, -12, 0, -4, 0, -8, 0, -6, 0, 0, 0, 12, 0, -18, 0, 46, 0, -18, 0, -10, 0, 30, 0, 20, 0, 14, 0, -48, 0, 42, 0, 16, 0, -14, 0, 0, 0, 18, 0, -14, 0, 0, 0, -34, 0, 30, 0, -54, 0, 20, 0, -6, 0, -10, 0, -62, 0, 0, 0, -40, 0, -8, 0, 0, 0, 2, 0, -16, 0, 16, 0, 54, 0, -16, 0, -12, 0, -10, 0, -10, 0, -18, 0, -28, 0, -54, 0, 4, 0, 16, 0, -8, 0, -32, 0, 28, 0, 20, 0, -36, 0, 4, 0, -40, 0, -6, 0, 22, 0, 24, 0, -8, 0, -68, 0, 12, 0, 44, 0, 12, 0, 2, 0, 6, 0, 0, 0, 70, 0, 64, 0, -24, 0, -36, 0, -52, 0, 60, 0, 40, 0, -50, 0, -18, 0, 6, 0, -78, 0, 20, 0, 26, 0, -40, 0, 38, 0, 30, 0, -18, 0, 16, 0, -6, 0, 0, 0, -36, 0, -14, 0, 0, 0, -6, 0, -6, 0, -30, 0, -68, 0, 54, 0, 40, 0, -48, 0, 0, 0, 62, 0, 36, 0, 0, 0, -54, 0, -92, 0, 62, 0, -20, 0, 28, 0, -2, 0, 14, 0, 4, 0, 48, 0, -32, 0, -18, 0, -12, 0, 64, 0, 28, 0, 40, 0, -2, 0, -48, 0, 40, 0, 18, 0, 0, 0, 30, 0, 58, 0, 102, 0, 14, 0, 88, 0, -48, 0, -80, 0, 32, 0, -2, 0, 72, 0, 28, 0, 0, 0, -56, 0, 26, 0, -36, 0, 66, 0, 58, 0, 16, 0, 18, 0, 126, 0, -28, 0, -48, 0, -24, 0, -18, 0, -2, 0, -48, 0, -24, 0, -6, 0, -64, 0, -14, 0, 0, 0, 0, 0, -32, 0, 0, 0, 52, 0, -50, 0, -18, 0, -94, 0, -54, 0, 12, 0, 76, 0, 0, 0, 18, 0, -32, 0, 0, 0, -6, 0, 32, 0, -64, 0, -4, 0, 16, 0, -6, 0, 62, 0, 30, 0, 54, 0, -22, 0, -18, 0, 6, 0, -20, 0, -22, 0, -88, 0, 30, 0, 12, 0, -30, 0, -4, 0, -36, 0, 72, 0, 28, 0, 24, 0, 8, 0, -96, 0, 24, 0, -36, 0, 14, 0, -18, 0, -90, 0, 22, 0, 80, 0, 0, 0, -14, 0, 12, 0, 4, 0, -32, 0, -84, 0, 48, 0, 54, 0, 18, 0, 60, 0, -54, 0, -10, 0, -8, 0, 6, 0, -44, 0, -12, 0, -128, 0, -6, 0, 0, 0, 30, 0, -44, 0, 0, 0, -14, 0, -56, 0, 6, 0, -10, 0, -102, 0, -54, 0, -30, 0, 0, 0, -6, 0, 38, 0, 0, 0, 2, 0, 44, 0, 30, 0, -76, 0, 12, 0, -48, 0, -42, 0, -10, 0, -54, 0, -24, 0, 54, 0, -34, 0, -28, 0, 26, 0, 42, 0, 80, 0, 2, 0, -72, 0, 12, 0, -10, 0, 78, 0, 10, 0, -8, 0, 20, 0, 40, 0, 108, 0, 56, 0, 32, 0, 40, 0, 114, 0, 28, 0, -24, 0, -42, 0, 6, 0, -10, 0, 18, 0, 64, 0, 14, 0, 12, 0, 66, 0, -22, 0, 30, 0, -126, 0, -38, 0, -20, 0, -64, 0, -34, 0, -18, 0, 0, 0, 50, 0, 0, 0, 46, 0, -24, 0, 0, 0, 76, 0, -4, 0, -90, 0, -88, 0, -18, 0, 70, 0, 30, 0, 0, 0, -18, 0, 72, 0, 0, 0, 18, 0, 24, 0, -84, 0, 118, 0, 72, 0, -40, 0, -10, 0, -72, 0, 0, 0, 6, 0, 126, 0, 26, 0, 24, 0, 48, 0, 58, 0, -20, 0, -58, 0, 18, 0, -4, 0, -60, 0, -54, 0, -74, 0, 0, 0, -140, 0, 80, 0, 8, 0, -12, 0, 12, 0, -38, 0, 102, 0, -34, 0, 54, 0, 46, 0, 32, 0, 24, 0, 56, 0, 128, 0, 46, 0, 46, 0, -42, 0, -16, 0, -30, 0, 10, 0, -2, 0, 2, 0, -44, 0, 36, 0, 50, 0, -48, 0, 10, 0, 0, 0, 60, 0, -54, 0, 0, 0, 0, 0, -52, 0, -66, 0, 76, 0, 18, 0, 18, 0, 118, 0, 0, 0, -10, 0, -20, 0, 0, 0, -10, 0, -64, 0, 84, 0, 26, 0, 16, 0, -74, 0, -18, 0, 46, 0, -54, 0, -82, 0, 6, 0, -24, 0, -16, 0, -4, 0, -50, 0, -40, 0, -56, 0, 62, 0, -90, 0, 18, 0, -42, 0, 40, 0, 128, 0, 132, 0, -84, 0, -64, 0, 56, 0, -54, 0, -112, 0, -6, 0, 16, 0, -20, 0, 78, 0, 84, 0, -36, 0, 84, 0, 0, 0, -24, 0, -44, 0, -66, 0, -28, 0, 30, 0, 26, 0, 38, 0, -64, 0, 24, 0, 80, 0, -30, 0, -12, 0, -126, 0, 0, 0, 24, 0, 14, 0, 0, 0, -54, 0, 30, 0, 18, 0, -80, 0, -54, 0, -58, 0, 28, 0, 0, 0, 30, 0, 16, 0, 0, 0, -14, 0, -96, 0, -86, 0, -40, 0, -28, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.07735026918962576, 0.28867513459481287], [0.0, 0.0], [-0.4472135954999579, -0.8944271909999159], [0.0, 0.0], [-0.46567143420336354, -0.8065665836736932], [0.0, 0.0], [0.7886751345948129, -0.45534180126147955], [0.0, 0.0], [-0.3419062052219805, -1.2760113293115025], [0.0, 0.0], [0.8320502943378437, 0.5547001962252291], [0.0, 0.0], [0.22360679774997896, -0.19828362886794487], [0.0, 0.0], [-0.21004201260420147, -0.05628058765390348], [0.0, 0.0], [0.6575113213008801, 0.17617962755689126], [0.0, 0.0], [0.1968159063121325, -0.1968159063121325], [0.0, 0.0], [-0.027935634428420963, 0.007485330685146465], [0.0, 0.0], [-0.6, 0.8], [0.0, 0.0], [0.4037749551350624, 0.4037749551350624], [0.0, 0.0], [0.2785430072655778, 0.16081688022566923], [0.0, 0.0], [-0.9332565252573828, -0.9332565252573828], [0.0, 0.0], [0.3419062052219805, -0.19739963962251386], [0.0, 0.0], [-0.5131604873779516, 0.7772167347182466], [0.0, 0.0], [-0.12625006953764353, 0.21867153489830238], [0.0, 0.0], [-0.09576883955874757, 0.2830984402051904], [0.0, 0.0], [1.4571210354436046, -0.39043440472151514], [0.0, 0.0], [-0.24370433751392606, 0.909516969626886], [0.0, 0.0], [-0.7599763308707066, -0.5017774411235455], [0.0, 0.0], [-1.5940422712714009, 0.0], [0.0, 0.0], [0.06630023073396495, -0.11483536818476688], [0.0, 0.0], [0.0, -0.064987224864263], [0.0, 0.0], [0.33847038748219743, -0.33847038748219743], [0.0, 0.0], [-0.9883941255990875, 0.8764598212022147], [0.0, 0.0], [0.0, 0.20343471079139838], [0.0, 0.0], [-0.3033566990404739, 1.1321426136354296], [0.0, 0.0], [0.5761659596980319, 0.9979487157886733], [0.0, 0.0], [-0.7345269620945946, -0.4240793392923522], [0.0, 0.0], [0.12403473458920845, -0.9922778767136676], [0.0, 0.0], [1.2979716267685986, 0.7493842681153469], [0.0, 0.0], [-0.004321657686042677, -0.007485330685146465], [0.0, 0.0], [0.07097858778361858, -0.26489569585795214], [0.0, 0.0], [0.0, 1.7472140316484277], [0.0, 0.0], [-0.27735026918962574, -0.11132486540518712], [0.0, 0.0], [-0.8699721456629572, 0.8699721456629572], [0.0, 0.0], [0.0, 0.06029327889343102], [0.0, 0.0], [0.370014113213577, -0.640883243603458], [0.0, 0.0], [0.3214120606706121, 0.0], [0.0, 0.0], [0.043594755739666986, 0.21303673128709757], [0.0, 0.0], [-0.02487845795138264, 0.09284766908852593], [0.0, 0.0], [1.568185098843293, -0.4201939308175807], [0.0, 0.0], [0.05994058833887582, -0.929411999277855], [0.0, 0.0], [0.197220309588529, -0.34159559649179566], [0.0, 0.0], [-0.13646815269377305, -0.6668859288553501], [0.0, 0.0], [-0.6798912683545371, 0.3925354068041681], [0.0, 0.0], [-0.8506742195410018, -0.8506742195410018], [0.0, 0.0], [-1.4818397169130622, -0.8555405594556352], [0.0, 0.0], [1.1031896784882929, 1.1031896784882929], [0.0, 0.0], [-0.2640562473402949, -0.08801874911343165], [0.0, 0.0], [0.7086301258531598, -0.189876869954719], [0.0, 0.0], [0.33867764148920737, -0.33867764148920737], [0.0, 0.0], [-0.07289051163276745, -0.019530953727891397], [0.0, 0.0], [-0.2696129906657547, -0.0722425831178288], [0.0, 0.0], [0.019188278813727578, 0.021638849381402588], [0.0, 0.0], [0.9087955643858445, 0.058610972153763714], [0.0, 0.0], [0.0524165239412027, 0.1956211305047189], [0.0, 0.0], [-0.6452796555775742, 0.37255238285030146], [0.0, 0.0], [0.22541740866685808, 0.39043440472151514], [0.0, 0.0], [0.9838699100999074, 0.17888543819998318], [0.0, 0.0], [-0.47297229062553137, -1.765156619186716], [0.0, 0.0], [-0.28140552973268923, 0.0], [0.0, 0.0], [0.5116766082039336, 0.0], [0.0, 0.0], [-0.16408363968366396, -0.6123684799902588], [0.0, 0.0], [0.18057364945878546, -0.5417209483763563], [0.0, 0.0], [-0.611741786842971, -1.059567855924996], [0.0, 0.0], [0.3816850183559869, -0.2203659480934763], [0.0, 0.0], [-0.12329959878248532, -0.4601603672090929], [0.0, 0.0], [0.4233205760638219, -1.251361041259315], [0.0, 0.0], [0.01927077066500529, -0.32105593478402755], [0.0, 0.0], [0.03827845606158896, 0.010256681389212974], [0.0, 0.0], [0.27281463532839756, 0.07310046121963536], [0.0, 0.0], [-0.021805396033750018, 0.021805396033750018], [0.0, 0.0], [-0.19128181671956698, 0.05125380831676599], [0.0, 0.0], [-0.41736500618415145, 1.2520950185524544], [0.0, 0.0], [0.5158914718907415, 0.5158914718907415], [0.0, 0.0], [0.12388876024724672, 0.0715272090783169], [0.0, 0.0], [0.0190462445480501, 0.0190462445480501], [0.0, 0.0], [-0.21680251300074044, 0.12517098924196482], [0.0, 0.0], [-0.32946470853302917, -0.2175304041361564], [0.0, 0.0], [0.7143975398832337, -1.2373728358799743], [0.0, 0.0], [0.38461538461538464, 0.9230769230769231], [0.0, 0.0], [0.5987847787819164, -0.16044389791466293], [0.0, 0.0], [-0.056388106976659774, 0.21044328017952335], [0.0, 0.0], [0.9246561274609726, 0.11140280284152504], [0.0, 0.0], [-0.3502861437029878, 0.0], [0.0, 0.0], [-0.5205213936644394, 0.9015695002533698], [0.0, 0.0], [0.0, 1.7042399245029156], [0.0, 0.0], [-0.24351638776847412, 0.24351638776847412], [0.0, 0.0], [0.25204651424077795, 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[-0.7365055238480941, 1.1154881025077186], [0.0, 0.0], [-0.06985748006738533, 0.2607116649002122], [0.0, 0.0], [-0.13927070535623778, 0.037317473029516754], [0.0, 0.0]], 'angles': [None, -0.017794855692625042, None, -0.16042690215236682, -0.42683628423511, None, -0.22567184900748427, -0.15306006561132965, -0.29396821464953377, -0.1409602387820193, -0.23970323083121423, -0.43681375401081246, -0.15566425012167787, 0.11968410981576334, -0.39679604430523874, -0.33653534021351156, 0.14132362553616853, 0.014392572276763637, -0.0318414738535465, -0.43644101931728985, 0.16911261851993048, 0.004798713733872589, -0.22431144691569965, -0.14092362565278047, -0.3975343113495259, -0.33005418017320953, 0.017409029942540163, -0.23189094808055577, -0.33651131733505224, -0.23061805330576804, -0.358268017771733, -0.20882426590131553, -0.47856791019947836, -0.29797075614333807, -0.185782208497473, -0.3774540664725641, -0.06557032900706758, -0.3533073063837826, -0.2900170913726947, -0.4757051048262355, 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0.8660254037844386, 'hecke_orbit': 2, 'hecke_orbit_code': 4505729964704004, 'label': '260.2.bf.b.137.1', 'level': 260, 'weight': 2}
• 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': 1040, 'analytic_conductor': 2.07611045255329, 'char_conductor': 65, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 32, 'char_orbit_label': 'bf', 'char_order': 12, 'char_parity': 1, 'char_values': [260, 12, [131, 157, 41], [12, 3, 7]], 'conrey_index': 37, 'cusp_dim': 144, 'dim': 28, 'eis_dim': 48, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 2130337333508, 'hecke_orbit_dims': [4, 4, 20], 'label': '260.2.bf', 'level': 260, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 13], 'level_radical': 130, 'mf_dim': 192, 'mf_new_dim': 28, 'num_forms': 3, 'prim_orbit_index': 20, 'relative_dim': 7, 'sturm_bound': 84, 'trace_bound': 3, 'trace_display': [0, 0, -2, 0], 'traces': [28, 0, 0, 0, -2, 0, 0, 0, 12, 0, 0, 0, 14, 0, 12, 0, -4, 0, -12, 0, 12, 0, 12, 0, -2, 0, -24, 0, 0, 0, 24, 0, -48, 0, -12, 0, 16, 0, -12, 0, 22, 0, 0, 0, 12, 0, -32, 0, -26, 0, 0, 0, 6, 0, -32, 0, 0, 0, 8, 0, -12, 0, -96, 0, -52, 0, -48, 0, 16, 0, 0, 0, 0, 0, -16, 0, -8, 0, 0, 0, -6, 0, -64, 0, 58, 0, 52, 0, 30, 0, -16, 0, 16, 0, 12, 0, 0, 0, -56, 0, -30, 0, 0, 0, -20, 0, 56, 0, 24, 0, 40, 0, -14, 0, 24, 0, 76, 0, -16, 0, 36, 0, 72, 0, 136, 0, 48, 0, -16, 0, 16, 0, -8, 0, 8, 0, -42, 0, 84, 0, 36, 0, 108, 0, 80, 0, -16, 0, -32, 0, 48, 0, 120, 0, 48, 0, 26, 0, 0, 0, 8, 0, -12, 0, -116, 0, 32, 0, -26, 0, 20, 0, -66, 0, -36, 0, -168, 0, -48, 0, 0, 0, 64, 0, -112, 0, 0, 0, 84, 0, -28, 0, -126, 0, -88, 0, -60, 0, -8, 0, -48, 0, 0, 0, -54, 0, -56, 0, 0, 0, -36, 0, -80, 0, -20, 0, 100, 0, 168, 0, -134, 0, 32, 0, 12, 0, 12, 0, -156, 0, -96, 0, 24, 0, -24, 0, 60, 0, 56, 0, -32, 0, -124, 0, -12, 0, 12, 0, -108, 0, -48, 0, 72, 0, 284, 0, -98, 0, -48, 0, -124, 0, 44, 0, -22, 0, 32, 0, 72, 0, 32, 0, 288, 0, 20, 0, -60, 0, -88, 0, 74, 0, 196, 0, -80, 0, 60, 0, 186, 0, 12, 0, -96, 0, -140, 0, -44, 0, -44, 0, 0, 0, -32, 0, 52, 0, -208, 0, -100, 0, 0, 0, 8, 0, -64, 0, 0, 0, 0, 0, -48, 0, -228, 0, -158, 0, 84, 0, 24, 0, -76, 0, 0, 0, 20, 0, 86, 0, 0, 0, -56, 0, -168, 0, 100, 0, 92, 0, 182, 0, -152, 0, 120, 0, 32, 0, -36, 0, -184, 0, -36, 0, 52, 0, 52, 0, 48, 0, 90, 0, 128, 0, -68, 0, 44, 0, 156, 0, -160, 0, 72, 0, 196, 0, 344, 0, 112, 0, -36, 0, 8, 0, -92, 0, 112, 0, 12, 0, 336, 0, 150, 0, 244, 0, 128, 0, 144, 0, -14, 0, 164, 0, 268, 0, 48, 0, 104, 0, 84, 0, -14, 0, -96, 0, -254, 0, 44, 0, -52, 0, -72, 0, -38, 0, -136, 0, -184, 0, -112, 0, 0, 0, -16, 0, -24, 0, 0, 0, 54, 0, -20, 0, -372, 0, -36, 0, -102, 0, -16, 0, 74, 0, 0, 0, -100, 0, -136, 0, 0, 0, -76, 0, -96, 0, -68, 0, 260, 0, 68, 0, -68, 0, 76, 0, 40, 0, 12, 0, -316, 0, -108, 0, 42, 0, -140, 0, 148, 0, 128, 0, 40, 0, -60, 0, 12, 0, -100, 0, -40, 0, -72, 0, 92, 0, 300, 0, -88, 0, 40, 0, -184, 0, -136, 0, 52, 0, -116, 0, 84, 0, 72, 0, 180, 0, -16, 0, -84, 0, -96, 0, 150, 0, 216, 0, 22, 0, -140, 0, 42, 0, 24, 0, -300, 0, -112, 0, 0, 0, -116, 0, 48, 0, -132, 0, 76, 0, -456, 0, -64, 0, 0, 0, 32, 0, -268, 0, 0, 0, -108, 0, -92, 0, -288, 0, -312, 0, -60, 0, 80, 0, 24, 0, 0, 0, -112, 0, 132, 0, 0, 0, -58, 0, -328, 0, 156, 0, 76, 0, 200, 0, -68, 0, 34, 0, 92, 0, -270, 0, -80, 0, 180, 0, -92, 0, 6, 0, 124, 0, 10, 0, 96, 0, -116, 0, -48, 0, 210, 0, -104, 0, 150, 0, 192, 0, 352, 0, -8, 0, -24, 0, 272, 0, 86, 0, 68, 0, -50, 0, 132, 0, 112, 0, 316, 0, 24, 0, -60, 0, -76, 0, 184, 0, 186, 0, 116, 0, 184, 0, 60, 0, 320, 0, -36, 0, -230, 0, 56, 0, -72, 0, 64, 0, 4, 0, -40, 0, -132, 0, -188, 0, 0, 0, 100, 0, -92, 0, 0, 0, 146, 0, -24, 0, -300, 0, -188, 0, -312, 0, 40, 0, -160, 0, 0, 0, -112, 0, -48, 0, 0, 0, 88, 0, -76, 0, -56, 0, 340, 0, 140, 0, -176, 0, 44, 0, -102, 0, 216, 0, -160, 0, -264, 0, 192, 0, -24, 0, -42, 0, 184, 0, 74, 0, -144, 0, 114, 0, 92, 0, -30, 0, 180, 0, 76, 0, 296, 0, -60, 0, 56, 0, -40, 0, 192, 0, 60, 0, 148, 0, 192, 0, 56, 0, 328, 0, 320, 0, -90, 0, -204, 0, 68, 0, 224, 0, -104, 0, -188, 0, -12, 0, 156, 0, -348, 0, -120, 0, -52, 0, -16, 0, 210, 0, -104, 0, 112, 0, -160, 0, -48, 0, 0, 0, -186, 0, -100, 0, 0, 0, 160, 0, 0, 0, -492, 0, -162, 0, -12, 0, 4, 0, 84, 0, 0, 0, 36, 0, -114, 0, 0, 0, -120, 0, -168, 0, 274, 0, -72, 0, 224, 0, -124, 0, 68, 0, 204, 0, 162, 0, -264, 0, 0, 0, 32, 0, -44, 0, 276, 0, -56, 0, 0, 0, 28, 0, 72, 0, 220, 0, -176, 0, 144, 0, 192, 0, 184, 0, 320, 0, -352, 0, -40, 0, -12, 0, -36, 0, -256, 0, 192, 0, -28, 0, 92, 0, 132, 0, 196, 0, -46, 0, 164, 0, 288, 0, 280, 0, 42, 0, 336, 0, -92, 0, -96, 0, -316, 0, 252, 0, -152, 0, -220, 0, -18, 0, -152, 0, -176, 0, -204, 0, 0, 0, 120, 0, -216, 0, 0, 0, 104, 0, -132, 0, -252, 0, -168, 0, -204, 0, 12, 0, -298, 0, 0, 0, 84, 0, 24, 0, 0, 0, -60, 0, -160, 0, -128, 0, 146, 0, 160, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 38825766
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 137, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505729964704004, 'source_is_minimal': True, 'source_label': '260.2.bf.b.137.1', 'source_level': 260, 'target_conrey_index': 137, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4505729964704004, 'target_is_minimal': True, 'target_label': '260.2.bf.b.137.1', 'target_level': 260, 'twist_class_label': '260.2.bf.b.93.1', 'twist_class_level': 260, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 38825767
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 137, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505729964704004, 'source_is_minimal': True, 'source_label': '260.2.bf.b.137.1', 'source_level': 260, 'target_conrey_index': 293, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506623317902612, 'target_is_minimal': False, 'target_label': '1300.2.bs.b.293.1', 'target_level': 1300, 'twist_class_label': '260.2.bf.b.93.1', 'twist_class_level': 260, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38825768
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 137, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505729964704004, 'source_is_minimal': True, 'source_label': '260.2.bf.b.137.1', 'source_level': 260, 'target_conrey_index': 33, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 2473934717188, 'target_is_minimal': True, 'target_label': '260.2.bk.a.33.1', 'target_level': 260, 'twist_class_label': '260.2.bf.b.93.1', 'twist_class_level': 260, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 38825769
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 137, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505729964704004, 'source_is_minimal': True, 'source_label': '260.2.bf.b.137.1', 'source_level': 260, 'target_conrey_index': 657, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 2680093148436, 'target_is_minimal': False, 'target_label': '1300.2.bn.a.657.1', 'target_level': 1300, 'twist_class_label': '260.2.bf.b.93.1', 'twist_class_level': 260, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 38825770
    {'conductor': 13, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 137, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505729964704004, 'source_is_minimal': True, 'source_label': '260.2.bf.b.137.1', 'source_level': 260, 'target_conrey_index': 197, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 2473934717188, 'target_is_minimal': True, 'target_label': '260.2.bk.a.197.1', 'target_level': 260, 'twist_class_label': '260.2.bf.b.93.1', 'twist_class_level': 260, 'twisting_char_label': '13.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38825771
    {'conductor': 65, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 137, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505729964704004, 'source_is_minimal': True, 'source_label': '260.2.bf.b.137.1', 'source_level': 260, 'target_conrey_index': 93, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 2680093148436, 'target_is_minimal': False, 'target_label': '1300.2.bn.a.93.1', 'target_level': 1300, 'twist_class_label': '260.2.bf.b.93.1', 'twist_class_level': 260, 'twisting_char_label': '65.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38825772
    {'conductor': 65, 'degree': 4, 'order': 12, 'parity': 1, 'source_conrey_index': 137, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505729964704004, 'source_is_minimal': True, 'source_label': '260.2.bf.b.137.1', 'source_level': 260, 'target_conrey_index': 93, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4505729964704004, 'target_is_minimal': True, 'target_label': '260.2.bf.b.93.1', 'target_level': 260, 'twist_class_label': '260.2.bf.b.93.1', 'twist_class_level': 260, 'twisting_char_label': '65.28', 'twisting_conrey_index': 28, 'weight': 2}
  • id: 38825773
    {'conductor': 65, 'degree': 4, 'order': 12, 'parity': -1, 'source_conrey_index': 137, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4505729964704004, 'source_is_minimal': True, 'source_label': '260.2.bf.b.137.1', 'source_level': 260, 'target_conrey_index': 457, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4506623317902612, 'target_is_minimal': False, 'target_label': '1300.2.bs.b.457.1', 'target_level': 1300, 'twist_class_label': '260.2.bf.b.93.1', 'twist_class_level': 260, 'twisting_char_label': '65.54', 'twisting_conrey_index': 54, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 605050
    {'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 4505729964704004, 'p': 2}
  • id: 605051
    {'charpoly_factorization': [[[1, -2, 5, -4, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 3}
  • id: 605052
    {'charpoly_factorization': [[[5, 2, 1], 2]], 'hecke_orbit_code': 4505729964704004, 'p': 5}
  • id: 605053
    {'charpoly_factorization': [[[121, 22, 15, -2, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 7}
  • id: 605054
    {'charpoly_factorization': [[[169, 130, 41, 8, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 11}
  • id: 605055
    {'charpoly_factorization': [[[13, -6, 1], 2]], 'hecke_orbit_code': 4505729964704004, 'p': 13}
  • id: 605056
    {'charpoly_factorization': [[[9, 18, 9, 0, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 17}
  • id: 605057
    {'charpoly_factorization': [[[169, -130, 41, -8, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 19}
  • id: 605058
    {'charpoly_factorization': [[[1, 14, 53, 4, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 23}
  • id: 605059
    {'charpoly_factorization': [[[3, -3, 1], 2]], 'hecke_orbit_code': 4505729964704004, 'p': 29}
  • id: 605060
    {'charpoly_factorization': [[[2916, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 31}
  • id: 605061
    {'charpoly_factorization': [[[169, 130, 87, 10, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 37}
  • id: 605062
    {'charpoly_factorization': [[[625, -250, 125, -20, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 41}
  • id: 605063
    {'charpoly_factorization': [[[529, -230, 29, -4, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 43}
  • id: 605064
    {'charpoly_factorization': [[[-32, 8, 1], 2]], 'hecke_orbit_code': 4505729964704004, 'p': 47}
  • id: 605065
    {'charpoly_factorization': [[[484, -88, 8, 4, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 53}
  • id: 605066
    {'charpoly_factorization': [[[3481, -826, 65, -8, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 59}
  • id: 605067
    {'charpoly_factorization': [[[81, -9, 1], 2]], 'hecke_orbit_code': 4505729964704004, 'p': 61}
  • id: 605068
    {'charpoly_factorization': [[[37249, -1158, -181, 6, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 67}
  • id: 605069
    {'charpoly_factorization': [[[121, 22, 17, 8, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 71}
  • id: 605070
    {'charpoly_factorization': [[[256, 0, 224, 0, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 73}
  • id: 605071
    {'charpoly_factorization': [[[16, 0, 56, 0, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 79}
  • id: 605072
    {'charpoly_factorization': [[[-32, 8, 1], 2]], 'hecke_orbit_code': 4505729964704004, 'p': 83}
  • id: 605073
    {'charpoly_factorization': [[[2209, 94, 197, -28, 1], 1]], 'hecke_orbit_code': 4505729964704004, 'p': 89}
  • id: 605074
    {'charpoly_factorization': [[[1089, -198, -21, 6, 1], 1]], 'hecke_orbit_code': 4505729964704004, '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': 32, 'hecke_orbit': 2, 'label': '260.2.bf.b', 'level': 260, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 97815000
    {'hecke_orbit_code': 4505729964704004, 'n': 1, 'trace_an': 4}
  • id: 97815001
    {'hecke_orbit_code': 4505729964704004, 'n': 2, 'trace_an': 0}
  • id: 97815002
    {'hecke_orbit_code': 4505729964704004, 'n': 3, 'trace_an': 4}
  • id: 97815003
    {'hecke_orbit_code': 4505729964704004, 'n': 4, 'trace_an': 0}
  • id: 97815004
    {'hecke_orbit_code': 4505729964704004, 'n': 5, 'trace_an': -4}
  • id: 97815005
    {'hecke_orbit_code': 4505729964704004, 'n': 6, 'trace_an': 0}
  • id: 97815006
    {'hecke_orbit_code': 4505729964704004, 'n': 7, 'trace_an': 2}
  • id: 97815007
    {'hecke_orbit_code': 4505729964704004, 'n': 8, 'trace_an': 0}
  • id: 97815008
    {'hecke_orbit_code': 4505729964704004, 'n': 9, 'trace_an': 6}
  • id: 97815009
    {'hecke_orbit_code': 4505729964704004, 'n': 10, 'trace_an': 0}
  • id: 97815010
    {'hecke_orbit_code': 4505729964704004, 'n': 11, 'trace_an': -8}
  • id: 97815011
    {'hecke_orbit_code': 4505729964704004, 'n': 12, 'trace_an': 0}
  • id: 97815012
    {'hecke_orbit_code': 4505729964704004, 'n': 13, 'trace_an': 12}
  • id: 97815013
    {'hecke_orbit_code': 4505729964704004, 'n': 14, 'trace_an': 0}
  • id: 97815014
    {'hecke_orbit_code': 4505729964704004, 'n': 15, 'trace_an': 0}
  • id: 97815015
    {'hecke_orbit_code': 4505729964704004, 'n': 16, 'trace_an': 0}
  • id: 97815016
    {'hecke_orbit_code': 4505729964704004, 'n': 17, 'trace_an': 0}
  • id: 97815017
    {'hecke_orbit_code': 4505729964704004, 'n': 18, 'trace_an': 0}
  • id: 97815018
    {'hecke_orbit_code': 4505729964704004, 'n': 19, 'trace_an': 8}
  • id: 97815019
    {'hecke_orbit_code': 4505729964704004, 'n': 20, 'trace_an': 0}
  • id: 97815020
    {'hecke_orbit_code': 4505729964704004, 'n': 21, 'trace_an': 14}
  • id: 97815021
    {'hecke_orbit_code': 4505729964704004, 'n': 22, 'trace_an': 0}
  • id: 97815022
    {'hecke_orbit_code': 4505729964704004, 'n': 23, 'trace_an': -4}
  • id: 97815023
    {'hecke_orbit_code': 4505729964704004, 'n': 24, 'trace_an': 0}
  • id: 97815024
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  • id: 97815025
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  • id: 97815026
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  • id: 97815027
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  • id: 97815028
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  • id: 97815029
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  • id: 97815030
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  • id: 97815031
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  • id: 97815032
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  • id: 97815033
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  • id: 97815034
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  • id: 97815035
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  • id: 97815036
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  • id: 97815037
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  • id: 97815038
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  • id: 97815039
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  • id: 97815040
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  • id: 97815041
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  • id: 97815042
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  • id: 97815043
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  • id: 97815044
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  • id: 97815045
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  • id: 97815046
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  • id: 97815047
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  • id: 97815048
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  • id: 97815049
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  • id: 97815050
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  • id: 97815051
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  • id: 97815052
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  • id: 97815053
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  • id: 97815054
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  • id: 97815055
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  • id: 97815056
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  • id: 97815057
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  • id: 97815058
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  • id: 97815059
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  • id: 97815060
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  • id: 97815061
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  • id: 97815062
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  • id: 97815063
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  • id: 97815064
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  • id: 97815065
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  • id: 97815066
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  • id: 97815067
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  • id: 97815068
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  • id: 97815069
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  • id: 97815070
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  • id: 97815071
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  • id: 97815072
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  • id: 97815073
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  • id: 97815074
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  • id: 97815075
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  • id: 97815076
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  • id: 97815077
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  • id: 97815078
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  • id: 97815079
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  • id: 97815080
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  • id: 97815081
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  • id: 97815082
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  • id: 97815083
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  • id: 97815084
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  • id: 97815085
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  • id: 97815086
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  • id: 97815087
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  • id: 97815088
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  • id: 97815089
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  • id: 97815090
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  • id: 97815091
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  • id: 97815092
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  • id: 97815093
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  • id: 97815094
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  • id: 97815095
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  • id: 97815096
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  • id: 97815097
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  • id: 97815098
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  • id: 97815099
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  • id: 97815100
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  • id: 97815101
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  • id: 97815102
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  • id: 97815103
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  • id: 97815104
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  • id: 97815105
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  • id: 97815106
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  • id: 97815107
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  • id: 97815108
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  • id: 97815109
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  • id: 97815110
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  • id: 97815111
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  • id: 97815112
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  • id: 97815113
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  • id: 97815114
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  • id: 97815115
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  • id: 97815116
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  • id: 97815117
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  • id: 97815118
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  • id: 97815119
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  • id: 97815120
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  • id: 97815121
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  • id: 97815122
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  • id: 97815123
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  • id: 97815124
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  • id: 97815125
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  • id: 97815126
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  • id: 97815127
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  • id: 97815128
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  • id: 97815129
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  • id: 97815130
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  • id: 97815131
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  • id: 97815132
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  • id: 97815133
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  • id: 97815134
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  • id: 97815135
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  • id: 97815136
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  • id: 97815137
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  • id: 97815138
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  • id: 97815139
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  • id: 97815140
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  • id: 97815141
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  • id: 97815142
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  • id: 97815143
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  • id: 97815144
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  • id: 97815145
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  • id: 97815146
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  • id: 97815147
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  • id: 97815148
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  • id: 97815149
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  • id: 97815150
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  • id: 97815151
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  • id: 97815152
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  • id: 97815153
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  • id: 97815154
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  • id: 97815155
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  • id: 97815156
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  • id: 97815157
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  • id: 97815158
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  • id: 97815159
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  • id: 97815160
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  • id: 97815161
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  • id: 97815162
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  • id: 97815163
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  • id: 97815164
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  • id: 97815165
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  • id: 97815166
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  • id: 97815167
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  • id: 97815168
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  • id: 97815169
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  • id: 97815170
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  • id: 97815171
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  • id: 97815172
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  • id: 97815173
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  • id: 97815174
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  • id: 97815175
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  • id: 97815176
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  • id: 97815177
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  • id: 97815178
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  • id: 97815179
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  • id: 97815180
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  • id: 97815181
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  • id: 97815182
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  • id: 97815183
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  • id: 97815184
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  • id: 97815185
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  • id: 97815186
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  • id: 97815187
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  • id: 97815188
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  • id: 97815189
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  • id: 97815190
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  • id: 97815191
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  • id: 97815192
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  • id: 97815193
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  • id: 97815194
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  • id: 97815195
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  • id: 97815196
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  • id: 97815197
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  • id: 97815198
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  • id: 97815199
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  • id: 97815200
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  • id: 97815201
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  • id: 97815202
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  • id: 97815203
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  • id: 97815204
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  • id: 97815205
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  • id: 97815206
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  • id: 97815207
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  • id: 97815208
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  • id: 97815209
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  • id: 97815210
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  • id: 97815211
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  • id: 97815212
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  • id: 97815213
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  • id: 97815214
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  • id: 97815215
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  • id: 97815216
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  • id: 97815217
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  • id: 97815218
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  • id: 97815219
    {'hecke_orbit_code': 4505729964704004, 'n': 220, 'trace_an': 0}
  • id: 97815220
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  • id: 97815221
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  • id: 97815222
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  • id: 97815223
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  • id: 97815224
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  • id: 97815225
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  • id: 97815226
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  • id: 97815227
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  • id: 97815228
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  • id: 97815229
    {'hecke_orbit_code': 4505729964704004, 'n': 230, 'trace_an': 0}
  • id: 97815230
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  • id: 97815231
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  • id: 97815236
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  • id: 97815239
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  • id: 97815240
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  • id: 97815242
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  • id: 97815248
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  • id: 97815336
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  • id: 97815380
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  • id: 97815389
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  • id: 97815391
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  • id: 97815392
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  • id: 97815393
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  • id: 97815394
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  • id: 97815395
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  • id: 97815396
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  • id: 97815397
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  • id: 97815398
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  • id: 97815400
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  • id: 97815408
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  • id: 97815413
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  • id: 97815415
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  • id: 97815416
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  • id: 97815417
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  • id: 97815418
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  • id: 97815419
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  • id: 97815420
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  • id: 97815421
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  • id: 97815422
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  • id: 97815423
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  • id: 97815424
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  • id: 97815425
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  • id: 97815426
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  • id: 97815427
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  • id: 97815428
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  • id: 97815429
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  • id: 97815430
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  • id: 97815431
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  • id: 97815432
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  • id: 97815433
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  • id: 97815434
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  • id: 97815435
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  • id: 97815436
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  • id: 97815437
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  • id: 97815516
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  • id: 97815530
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  • id: 97815531
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  • id: 97815532
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  • id: 97815537
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  • id: 97815542
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  • id: 97815543
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  • id: 97815544
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  • id: 97815545
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  • id: 97815546
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  • id: 97815589
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  • id: 97815591
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  • id: 97815596
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  • id: 97815617
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  • id: 97815621
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  • id: 97815622
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  • id: 97815623
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  • id: 97815624
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  • id: 97815625
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  • id: 97815626
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  • id: 97815627
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  • id: 97815628
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  • id: 97815629
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  • id: 97815630
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  • id: 97815631
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  • id: 97815632
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  • id: 97815633
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  • id: 97815634
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  • id: 97815635
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  • id: 97815636
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  • id: 97815637
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  • id: 97815638
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  • id: 97815639
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  • id: 97815641
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  • id: 97815642
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  • id: 97815643
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  • id: 97815644
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  • id: 97815645
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  • id: 97815646
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  • id: 97815648
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  • id: 97815649
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  • id: 97815650
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  • id: 97815651
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  • id: 97815652
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  • id: 97815653
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  • id: 97815654
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  • id: 97815655
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  • id: 97815656
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  • id: 97815657
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  • id: 97815658
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  • id: 97815659
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  • id: 97815660
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  • id: 97815661
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  • id: 97815662
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  • id: 97815663
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  • id: 97815664
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  • id: 97815665
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  • id: 97815666
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  • id: 97815667
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  • id: 97815668
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  • id: 97815669
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  • id: 97815670
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  • id: 97815671
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  • id: 97815672
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  • id: 97815673
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  • id: 97815674
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  • id: 97815676
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  • id: 97815678
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  • id: 97815680
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  • id: 97815684
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  • id: 97815686
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  • id: 97815687
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  • id: 97815688
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  • id: 97815689
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  • id: 97815690
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  • id: 97815691
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  • id: 97815692
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  • id: 97815693
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  • id: 97815694
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  • id: 97815695
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  • id: 97815696
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  • id: 97815698
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  • id: 97815699
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  • id: 97815700
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  • id: 97815701
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  • id: 97815702
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  • id: 97815703
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  • id: 97815704
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  • id: 97815705
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  • id: 97815706
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  • id: 97815707
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  • id: 97815708
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  • id: 97815709
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  • id: 97815710
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  • id: 97815711
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  • id: 97815712
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  • id: 97815713
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  • id: 97815714
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  • id: 97815715
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  • id: 97815716
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  • id: 97815717
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  • id: 97815718
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  • id: 97815719
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  • id: 97815720
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  • id: 97815721
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  • id: 97815722
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  • id: 97815723
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  • id: 97815724
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  • id: 97815725
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  • id: 97815726
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  • id: 97815727
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  • id: 97815728
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  • id: 97815729
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  • id: 97815730
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  • id: 97815731
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  • id: 97815732
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  • id: 97815733
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  • id: 97815734
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  • id: 97815735
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  • id: 97815736
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  • id: 97815737
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  • id: 97815738
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  • id: 97815739
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  • id: 97815740
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  • id: 97815741
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  • id: 97815742
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  • id: 97815743
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  • id: 97815744
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  • id: 97815745
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  • id: 97815746
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  • id: 97815747
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  • id: 97815748
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  • id: 97815749
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  • id: 97815750
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  • id: 97815751
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  • id: 97815752
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  • id: 97815753
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  • id: 97815754
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  • id: 97815755
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  • id: 97815756
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  • id: 97815757
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  • id: 97815758
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  • id: 97815759
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  • id: 97815760
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  • id: 97815761
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  • id: 97815762
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  • id: 97815763
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  • id: 97815764
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  • id: 97815765
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  • id: 97815766
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  • id: 97815767
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  • id: 97815768
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  • id: 97815769
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  • id: 97815770
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  • id: 97815771
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  • id: 97815772
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  • id: 97815773
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  • id: 97815774
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  • id: 97815775
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  • id: 97815776
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  • id: 97815777
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  • id: 97815778
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  • id: 97815779
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  • id: 97815780
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  • id: 97815781
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  • id: 97815782
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  • id: 97815783
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  • id: 97815784
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  • id: 97815785
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  • id: 97815786
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  • id: 97815787
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  • id: 97815788
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  • id: 97815789
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  • id: 97815790
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  • id: 97815791
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  • id: 97815792
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  • id: 97815793
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  • id: 97815794
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  • id: 97815795
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  • id: 97815796
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  • id: 97815797
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  • id: 97815798
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  • id: 97815799
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  • id: 97815800
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  • id: 97815801
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  • id: 97815802
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  • id: 97815803
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  • id: 97815804
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  • id: 97815805
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  • id: 97815806
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  • id: 97815807
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  • id: 97815808
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  • id: 97815809
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  • id: 97815810
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  • id: 97815811
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  • id: 97815812
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  • id: 97815813
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  • id: 97815814
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  • id: 97815815
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  • id: 97815816
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  • id: 97815817
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  • id: 97815818
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  • id: 97815819
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  • id: 97815820
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  • id: 97815821
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  • id: 97815822
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  • id: 97815823
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  • id: 97815824
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  • id: 97815825
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  • id: 97815826
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  • id: 97815827
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  • id: 97815828
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  • id: 97815829
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  • id: 97815830
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  • id: 97815831
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  • id: 97815832
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  • id: 97815833
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  • id: 97815834
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  • id: 97815835
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  • id: 97815836
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  • id: 97815837
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  • id: 97815838
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  • id: 97815839
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  • id: 97815840
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  • id: 97815841
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  • id: 97815842
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  • id: 97815843
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  • id: 97815844
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  • id: 97815845
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  • id: 97815846
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  • id: 97815847
    {'hecke_orbit_code': 4505729964704004, 'n': 848, 'trace_an': 0}
  • id: 97815848
    {'hecke_orbit_code': 4505729964704004, 'n': 849, 'trace_an': 18}
  • id: 97815849
    {'hecke_orbit_code': 4505729964704004, 'n': 850, 'trace_an': 0}
  • id: 97815850
    {'hecke_orbit_code': 4505729964704004, 'n': 851, 'trace_an': 118}
  • id: 97815851
    {'hecke_orbit_code': 4505729964704004, 'n': 852, 'trace_an': 0}
  • id: 97815852
    {'hecke_orbit_code': 4505729964704004, 'n': 853, 'trace_an': 0}
  • id: 97815853
    {'hecke_orbit_code': 4505729964704004, 'n': 854, 'trace_an': 0}
  • id: 97815854
    {'hecke_orbit_code': 4505729964704004, 'n': 855, 'trace_an': -10}
  • id: 97815855
    {'hecke_orbit_code': 4505729964704004, 'n': 856, 'trace_an': 0}
  • id: 97815856
    {'hecke_orbit_code': 4505729964704004, 'n': 857, 'trace_an': -20}
  • id: 97815857
    {'hecke_orbit_code': 4505729964704004, 'n': 858, 'trace_an': 0}
  • id: 97815858
    {'hecke_orbit_code': 4505729964704004, 'n': 859, 'trace_an': 0}
  • id: 97815859
    {'hecke_orbit_code': 4505729964704004, 'n': 860, 'trace_an': 0}
  • id: 97815860
    {'hecke_orbit_code': 4505729964704004, 'n': 861, 'trace_an': -10}
  • id: 97815861
    {'hecke_orbit_code': 4505729964704004, 'n': 862, 'trace_an': 0}
  • id: 97815862
    {'hecke_orbit_code': 4505729964704004, 'n': 863, 'trace_an': -64}
  • id: 97815863
    {'hecke_orbit_code': 4505729964704004, 'n': 864, 'trace_an': 0}
  • id: 97815864
    {'hecke_orbit_code': 4505729964704004, 'n': 865, 'trace_an': 84}
  • id: 97815865
    {'hecke_orbit_code': 4505729964704004, 'n': 866, 'trace_an': 0}
  • id: 97815866
    {'hecke_orbit_code': 4505729964704004, 'n': 867, 'trace_an': 26}
  • id: 97815867
    {'hecke_orbit_code': 4505729964704004, 'n': 868, 'trace_an': 0}
  • id: 97815868
    {'hecke_orbit_code': 4505729964704004, 'n': 869, 'trace_an': 16}
  • id: 97815869
    {'hecke_orbit_code': 4505729964704004, 'n': 870, 'trace_an': 0}
  • id: 97815870
    {'hecke_orbit_code': 4505729964704004, 'n': 871, 'trace_an': -74}
  • id: 97815871
    {'hecke_orbit_code': 4505729964704004, 'n': 872, 'trace_an': 0}
  • id: 97815872
    {'hecke_orbit_code': 4505729964704004, 'n': 873, 'trace_an': -18}
  • id: 97815873
    {'hecke_orbit_code': 4505729964704004, 'n': 874, 'trace_an': 0}
  • id: 97815874
    {'hecke_orbit_code': 4505729964704004, 'n': 875, 'trace_an': 46}
  • id: 97815875
    {'hecke_orbit_code': 4505729964704004, 'n': 876, 'trace_an': 0}
  • id: 97815876
    {'hecke_orbit_code': 4505729964704004, 'n': 877, 'trace_an': -54}
  • id: 97815877
    {'hecke_orbit_code': 4505729964704004, 'n': 878, 'trace_an': 0}
  • id: 97815878
    {'hecke_orbit_code': 4505729964704004, 'n': 879, 'trace_an': -82}
  • id: 97815879
    {'hecke_orbit_code': 4505729964704004, 'n': 880, 'trace_an': 0}
  • id: 97815880
    {'hecke_orbit_code': 4505729964704004, 'n': 881, 'trace_an': 6}
  • id: 97815881
    {'hecke_orbit_code': 4505729964704004, 'n': 882, 'trace_an': 0}
  • id: 97815882
    {'hecke_orbit_code': 4505729964704004, 'n': 883, 'trace_an': -24}
  • id: 97815883
    {'hecke_orbit_code': 4505729964704004, 'n': 884, 'trace_an': 0}
  • id: 97815884
    {'hecke_orbit_code': 4505729964704004, 'n': 885, 'trace_an': -16}
  • id: 97815885
    {'hecke_orbit_code': 4505729964704004, 'n': 886, 'trace_an': 0}
  • id: 97815886
    {'hecke_orbit_code': 4505729964704004, 'n': 887, 'trace_an': -4}
  • id: 97815887
    {'hecke_orbit_code': 4505729964704004, 'n': 888, 'trace_an': 0}
  • id: 97815888
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  • id: 97815889
    {'hecke_orbit_code': 4505729964704004, 'n': 890, 'trace_an': 0}
  • id: 97815890
    {'hecke_orbit_code': 4505729964704004, 'n': 891, 'trace_an': -40}
  • id: 97815891
    {'hecke_orbit_code': 4505729964704004, 'n': 892, 'trace_an': 0}
  • id: 97815892
    {'hecke_orbit_code': 4505729964704004, 'n': 893, 'trace_an': -56}
  • id: 97815893
    {'hecke_orbit_code': 4505729964704004, 'n': 894, 'trace_an': 0}
  • id: 97815894
    {'hecke_orbit_code': 4505729964704004, 'n': 895, 'trace_an': 62}
  • id: 97815895
    {'hecke_orbit_code': 4505729964704004, 'n': 896, 'trace_an': 0}
  • id: 97815896
    {'hecke_orbit_code': 4505729964704004, 'n': 897, 'trace_an': -90}
  • id: 97815897
    {'hecke_orbit_code': 4505729964704004, 'n': 898, 'trace_an': 0}
  • id: 97815898
    {'hecke_orbit_code': 4505729964704004, 'n': 899, 'trace_an': 18}
  • id: 97815899
    {'hecke_orbit_code': 4505729964704004, 'n': 900, 'trace_an': 0}
  • id: 97815900
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  • id: 97815901
    {'hecke_orbit_code': 4505729964704004, 'n': 902, 'trace_an': 0}
  • id: 97815902
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  • id: 97815903
    {'hecke_orbit_code': 4505729964704004, 'n': 904, 'trace_an': 0}
  • id: 97815904
    {'hecke_orbit_code': 4505729964704004, 'n': 905, 'trace_an': 128}
  • id: 97815905
    {'hecke_orbit_code': 4505729964704004, 'n': 906, 'trace_an': 0}
  • id: 97815906
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  • id: 97815907
    {'hecke_orbit_code': 4505729964704004, 'n': 908, 'trace_an': 0}
  • id: 97815908
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  • id: 97815909
    {'hecke_orbit_code': 4505729964704004, 'n': 910, 'trace_an': 0}
  • id: 97815910
    {'hecke_orbit_code': 4505729964704004, 'n': 911, 'trace_an': -64}
  • id: 97815911
    {'hecke_orbit_code': 4505729964704004, 'n': 912, 'trace_an': 0}
  • id: 97815912
    {'hecke_orbit_code': 4505729964704004, 'n': 913, 'trace_an': 56}
  • id: 97815913
    {'hecke_orbit_code': 4505729964704004, 'n': 914, 'trace_an': 0}
  • id: 97815914
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  • id: 97815915
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  • id: 97815916
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  • id: 97815917
    {'hecke_orbit_code': 4505729964704004, 'n': 918, 'trace_an': 0}
  • id: 97815918
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  • id: 97815919
    {'hecke_orbit_code': 4505729964704004, 'n': 920, 'trace_an': 0}
  • id: 97815920
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  • id: 97815921
    {'hecke_orbit_code': 4505729964704004, 'n': 922, 'trace_an': 0}
  • id: 97815922
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  • id: 97815923
    {'hecke_orbit_code': 4505729964704004, 'n': 924, 'trace_an': 0}
  • id: 97815924
    {'hecke_orbit_code': 4505729964704004, 'n': 925, 'trace_an': 78}
  • id: 97815925
    {'hecke_orbit_code': 4505729964704004, 'n': 926, 'trace_an': 0}
  • id: 97815926
    {'hecke_orbit_code': 4505729964704004, 'n': 927, 'trace_an': 84}
  • id: 97815927
    {'hecke_orbit_code': 4505729964704004, 'n': 928, 'trace_an': 0}
  • id: 97815928
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  • id: 97815929
    {'hecke_orbit_code': 4505729964704004, 'n': 930, 'trace_an': 0}
  • id: 97815930
    {'hecke_orbit_code': 4505729964704004, 'n': 931, 'trace_an': 84}
  • id: 97815931
    {'hecke_orbit_code': 4505729964704004, 'n': 932, 'trace_an': 0}
  • id: 97815932
    {'hecke_orbit_code': 4505729964704004, 'n': 933, 'trace_an': 0}
  • id: 97815933
    {'hecke_orbit_code': 4505729964704004, 'n': 934, 'trace_an': 0}
  • id: 97815934
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  • id: 97815935
    {'hecke_orbit_code': 4505729964704004, 'n': 936, 'trace_an': 0}
  • id: 97815936
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  • id: 97815937
    {'hecke_orbit_code': 4505729964704004, 'n': 938, 'trace_an': 0}
  • id: 97815938
    {'hecke_orbit_code': 4505729964704004, 'n': 939, 'trace_an': -66}
  • id: 97815939
    {'hecke_orbit_code': 4505729964704004, 'n': 940, 'trace_an': 0}
  • id: 97815940
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  • id: 97815941
    {'hecke_orbit_code': 4505729964704004, 'n': 942, 'trace_an': 0}
  • id: 97815942
    {'hecke_orbit_code': 4505729964704004, 'n': 943, 'trace_an': 30}
  • id: 97815943
    {'hecke_orbit_code': 4505729964704004, 'n': 944, 'trace_an': 0}
  • id: 97815944
    {'hecke_orbit_code': 4505729964704004, 'n': 945, 'trace_an': 26}
  • id: 97815945
    {'hecke_orbit_code': 4505729964704004, 'n': 946, 'trace_an': 0}
  • id: 97815946
    {'hecke_orbit_code': 4505729964704004, 'n': 947, 'trace_an': 38}
  • id: 97815947
    {'hecke_orbit_code': 4505729964704004, 'n': 948, 'trace_an': 0}
  • id: 97815948
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  • id: 97815949
    {'hecke_orbit_code': 4505729964704004, 'n': 950, 'trace_an': 0}
  • id: 97815950
    {'hecke_orbit_code': 4505729964704004, 'n': 951, 'trace_an': 24}
  • id: 97815951
    {'hecke_orbit_code': 4505729964704004, 'n': 952, 'trace_an': 0}
  • id: 97815952
    {'hecke_orbit_code': 4505729964704004, 'n': 953, 'trace_an': 80}
  • id: 97815953
    {'hecke_orbit_code': 4505729964704004, 'n': 954, 'trace_an': 0}
  • id: 97815954
    {'hecke_orbit_code': 4505729964704004, 'n': 955, 'trace_an': -30}
  • id: 97815955
    {'hecke_orbit_code': 4505729964704004, 'n': 956, 'trace_an': 0}
  • id: 97815956
    {'hecke_orbit_code': 4505729964704004, 'n': 957, 'trace_an': -12}
  • id: 97815957
    {'hecke_orbit_code': 4505729964704004, 'n': 958, 'trace_an': 0}
  • id: 97815958
    {'hecke_orbit_code': 4505729964704004, 'n': 959, 'trace_an': -126}
  • id: 97815959
    {'hecke_orbit_code': 4505729964704004, 'n': 960, 'trace_an': 0}
  • id: 97815960
    {'hecke_orbit_code': 4505729964704004, 'n': 961, 'trace_an': 0}
  • id: 97815961
    {'hecke_orbit_code': 4505729964704004, 'n': 962, 'trace_an': 0}
  • id: 97815962
    {'hecke_orbit_code': 4505729964704004, 'n': 963, 'trace_an': 24}
  • id: 97815963
    {'hecke_orbit_code': 4505729964704004, 'n': 964, 'trace_an': 0}
  • id: 97815964
    {'hecke_orbit_code': 4505729964704004, 'n': 965, 'trace_an': 14}
  • id: 97815965
    {'hecke_orbit_code': 4505729964704004, 'n': 966, 'trace_an': 0}
  • id: 97815966
    {'hecke_orbit_code': 4505729964704004, 'n': 967, 'trace_an': 0}
  • id: 97815967
    {'hecke_orbit_code': 4505729964704004, 'n': 968, 'trace_an': 0}
  • id: 97815968
    {'hecke_orbit_code': 4505729964704004, 'n': 969, 'trace_an': -54}
  • id: 97815969
    {'hecke_orbit_code': 4505729964704004, 'n': 970, 'trace_an': 0}
  • id: 97815970
    {'hecke_orbit_code': 4505729964704004, 'n': 971, 'trace_an': 30}
  • id: 97815971
    {'hecke_orbit_code': 4505729964704004, 'n': 972, 'trace_an': 0}
  • id: 97815972
    {'hecke_orbit_code': 4505729964704004, 'n': 973, 'trace_an': 18}
  • id: 97815973
    {'hecke_orbit_code': 4505729964704004, 'n': 974, 'trace_an': 0}
  • id: 97815974
    {'hecke_orbit_code': 4505729964704004, 'n': 975, 'trace_an': -80}
  • id: 97815975
    {'hecke_orbit_code': 4505729964704004, 'n': 976, 'trace_an': 0}
  • id: 97815976
    {'hecke_orbit_code': 4505729964704004, 'n': 977, 'trace_an': -54}
  • id: 97815977
    {'hecke_orbit_code': 4505729964704004, 'n': 978, 'trace_an': 0}
  • id: 97815978
    {'hecke_orbit_code': 4505729964704004, 'n': 979, 'trace_an': -58}
  • id: 97815979
    {'hecke_orbit_code': 4505729964704004, 'n': 980, 'trace_an': 0}
  • id: 97815980
    {'hecke_orbit_code': 4505729964704004, 'n': 981, 'trace_an': 28}
  • id: 97815981
    {'hecke_orbit_code': 4505729964704004, 'n': 982, 'trace_an': 0}
  • id: 97815982
    {'hecke_orbit_code': 4505729964704004, 'n': 983, 'trace_an': 0}
  • id: 97815983
    {'hecke_orbit_code': 4505729964704004, 'n': 984, 'trace_an': 0}
  • id: 97815984
    {'hecke_orbit_code': 4505729964704004, 'n': 985, 'trace_an': 30}
  • id: 97815985
    {'hecke_orbit_code': 4505729964704004, 'n': 986, 'trace_an': 0}
  • id: 97815986
    {'hecke_orbit_code': 4505729964704004, 'n': 987, 'trace_an': 16}
  • id: 97815987
    {'hecke_orbit_code': 4505729964704004, 'n': 988, 'trace_an': 0}
  • id: 97815988
    {'hecke_orbit_code': 4505729964704004, 'n': 989, 'trace_an': 0}
  • id: 97815989
    {'hecke_orbit_code': 4505729964704004, 'n': 990, 'trace_an': 0}
  • id: 97815990
    {'hecke_orbit_code': 4505729964704004, 'n': 991, 'trace_an': -14}
  • id: 97815991
    {'hecke_orbit_code': 4505729964704004, 'n': 992, 'trace_an': 0}
  • id: 97815992
    {'hecke_orbit_code': 4505729964704004, 'n': 993, 'trace_an': -96}
  • id: 97815993
    {'hecke_orbit_code': 4505729964704004, 'n': 994, 'trace_an': 0}
  • id: 97815994
    {'hecke_orbit_code': 4505729964704004, 'n': 995, 'trace_an': -86}
  • id: 97815995
    {'hecke_orbit_code': 4505729964704004, 'n': 996, 'trace_an': 0}
  • id: 97815996
    {'hecke_orbit_code': 4505729964704004, 'n': 997, 'trace_an': -40}
  • id: 97815997
    {'hecke_orbit_code': 4505729964704004, 'n': 998, 'trace_an': 0}
  • id: 97815998
    {'hecke_orbit_code': 4505729964704004, 'n': 999, 'trace_an': -28}
  • id: 97815999
    {'hecke_orbit_code': 4505729964704004, 'n': 1000, 'trace_an': 0}