Embedded newform data - 6003.2.a.v.1.21

Formats: - HTML - YAML - JSON - 2024-05-22T09:47:55.692400

• mf_newforms •

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

  
  {'Nk2': 24012, 'analytic_conductor': 47.934196333374615, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [23, -1], [29, 1]], 'atkin_lehner_string': '+-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [6003, 1, [668, 3133, 4555], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 30, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [-2304, -20480, 127808, 165728, -1303368, -328920, 5796104, -411998, -14283343, 2648895, 21734883, -4790260, -21761458, 4804662, 14939088, -3059124, -7218058, 1304378, 2489025, -380781, -614174, 76251, 107407, -10288, -12975, 893, 1028, -45, -48, 1, 1]], [5, [1081344, 339845120, -1913546240, 1826159104, 7634770432, -16108980480, -3876068544, 30552967296, -9974091536, -27358373152, 15959374456, 14117867344, -10854165502, -4606353530, 4352963400, 998371522, -1138096813, -147178504, 202717929, 14812592, -25041479, -1000846, 2143650, 43372, -124647, -1088, 4692, 12, -103, 0, 1]]], 'hecke_orbit': 22, 'hecke_orbit_code': 94575592208340851, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '6003.2.a.v', 'level': 6003, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 23, 29], 'level_radical': 2001, 'minimal_twist': '6003.2.a.v', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 30, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '6003.2.a', 'trace_display': [-1, 0, 0, 10], 'traces': [30, -1, 0, 37, 0, 0, 10, -6, 0, 8, 0, 0, 36, -7, 0, 47, -18, 0, 16, 0, 0, 25, 30, 0, 56, -11, 0, 27, -30, 0, 14, 7, 0, 3, 22, 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• 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

  
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-0.18742678092393522, -0.2812813828531958, -0.31239713618513065, -0.22582636599593017, -0.3438177039890436, -0.37604766223414704, -0.22498906206105262, -0.2660858836988444, -0.17355362395786325, -0.36838009732092386, -0.23627961670131398, -0.4216398333744549, -0.25532763780958445, -0.42291118879721157, -0.28579560894241574, -0.40985993124804154, -0.3164886425739452, -0.18242503199007065, -0.22149643648766218, -0.37337063364026557, -0.43312040153521186, -0.2196014411617889, -0.16961574752651504, -0.21160052265981566, -0.3432959662390911, -0.0995629267749016, -0.10642436123892633, -0.10025234517307269, -0.25940583691809327, -0.1931768614025473, -0.18431584260932368, -0.170374024578779, -0.3169641982782934, -0.29744535070681344, -0.2411853565607852, -0.19691189262955372, -0.19617573070532127, -0.3221550983429527, -0.1792610581417272, -0.2099212015905257, -0.2687065087571795, -0.3521835354905374, -0.13476784512318563, -0.07349364510629676, -0.1912304019576695, -0.12605525270438828, -0.133255800210424, -0.1721259229349757, -0.3011645315845106, -0.20003563711233616, -0.209696905306737, -0.3078034600075072, -0.19304172082353868, -0.2734480324475118, -0.19086309854273115, -0.18896967053087418, -0.2141866276878118, -0.19025145718608188, -0.21421427288608294, -0.25066306819321144, -0.25574834499121607, -0.21313117644596663, -0.2825783996114059, -0.3550756634877486, -0.2575019923873938, -0.16610791016196608, -0.239196667471984, -0.23160864096143344, -0.12462567441729287, -0.07872390279443642, -0.1708063270391424, -0.2323449583407955, -0.3011524762308368, -0.18935871941289834, -0.05805989946044099, -0.28323901184880584, -0.40713744060968976, -0.2057601729152055, -0.3883705464670127, -0.3388065274226924, -0.30414133044196645, -0.11809594939385577, -0.3228077316127177, -0.25071348309307895, -0.1492627863087179, -0.2920765191623114, -0.21492100803052377, -0.38461959796551776, -0.25338013344914273, -0.13328488994226032, -0.46607225026155613, -0.3320992781113519, 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-0.3429269225137641, -0.05800305766578465, -0.3635762869738574, -0.29477372289863585, -0.3622344117142832, -0.20186468826219076, -0.055263893166693785, -0.12707440885843635, -0.35566359828963534, -0.21942896577810916, -0.35573966832085474, -0.24595600747214685, -0.2585108343184557, -0.3491112112652087, -0.19626382289380156, -0.2981384430198136, -0.07078271656154965, -0.21724749123270157, -0.3729492733447752, -0.21058581159482065, -0.1936793192909159, -0.1834590780011015, -0.3090466517663863, -0.19670466660575994, -0.12257891010067154, -0.15860644774360455, -0.2969358057195903, -0.23033278894652212, -0.1849111877882429, -0.12312555539541578, -0.3358562597124203, -0.20247422325432338, -0.2635402361635693, -0.17552673609255154, -0.2454761887464273, -0.24200948648123774, -0.3661751609624312, -0.09961134702625311, -0.3290380192538251, -0.26842683932217376, -0.26500705348916775, -0.10856443251200601, -0.13828045905553663, -0.3015980511804862, -0.33595997830444974, -0.2269648447137239, -0.39745046009089907, -0.2327147344269081, -0.35054825012060714, -0.07663991831969982, -0.3733375384963654, -0.2662266601514322, -0.38122024815660044, -0.16367012200982042, -0.48144542622087155, -0.15153494795809144, -0.34018181732603514, -0.37500205213962806, -0.3721947340510483, -0.12882264800434978, -0.20872122540588567, -0.06100154687276014, -0.2290668550990811, -0.2644221692391438, -0.2817401785110456, -0.3098531333468458, -0.16781234693496216, -0.3275646374841665, -0.08820700296297271, -0.10553354476250548, -0.22907191155105247, -0.3067438146396654, -0.28893315155052585, -0.22271955681686662, -0.21298275631750987, -0.27397885510059655, -0.21937523860285538, -0.35928440758020275, -0.14494152013039147, -0.059730673031624194, -0.42708654829903925, -0.404194203733206, -0.2406409198732894, -0.17563180813154364, -0.30119154567133816, -0.2232003738559976, -0.1618641587991768, -0.4265521062348264, -0.4272797929716706, -0.17371798028226776, -0.35508358963538583, -0.27286684525696087, -0.21646653273972397, -0.37415817043176436, -0.3430251634168329, -0.15343106951469584, -0.2518599930260065, -0.2039460183232486, -0.024091950970484933, -0.2435581646126001, -0.3112601266543309, -0.08262062737041019, -0.35565813236781757, -0.13932190276875528, -0.26328371014970453, -0.180258719126626, -0.1214843576668563, -0.10571756011468092, -0.16483870173393111, -0.39926988656171886, -0.1917722912003091, -0.23042536596183721, -0.09940853154780559, -0.26580837343996, -0.3893196330031799, -0.2740311254079268, -0.0889176429388989, -0.08780152054492789, -0.09089328582788721, -0.25933430211866265, -0.29237684907581685, -0.23956456813045732, -0.17768870634482342, -0.29511020898430784, -0.2918817309568946, -0.0925502219495324, -0.1964533264975556, -0.41333519369704247, -0.22309259825751437, -0.32161725331668906, -0.18589205206295215, -0.32580769284184163, -0.2809774593398322, -0.378824851544982, -0.3982985028849843, -0.36170105545958686, -0.24468826865065227, -0.23609334084991013, -0.2514822472161835, -0.2810029936678146, -0.28263358100662317, -0.3526313601493371, -0.14113735888225534, -0.11261403140323058, -0.23906119978745172, -0.1275480042013324, -0.2033830949206462, -0.3123710636702725, -0.2680378514092229, -0.18031448654421986, -0.278954085067569], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 21, 'dual_embedding_m': 21, 'embedding_index': 21, 'embedding_m': 21, 'hecke_orbit': 22, 'hecke_orbit_code': 94575592208340851, 'label': '6003.2.a.v.1.21', 'level': 6003, 'weight': 2}
• mf_newspaces •

  Column	Type
  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_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [22, 30, 30, 22, 39, 38, 35, 42], 'Nk2': 24012, 'analytic_conductor': 47.934196333374615, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [6003, 1, [668, 3133, 4555], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 713, 'dim': 258, 'eis_dim': 15, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 5], 'hecke_orbit_code': 33560435, 'hecke_orbit_dims': [1, 1, 1, 2, 2, 2, 4, 5, 7, 7, 10, 10, 11, 12, 13, 14, 16, 16, 20, 22, 22, 30, 30], 'label': '6003.2.a', 'level': 6003, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [3, 23, 29], 'level_radical': 2001, 'mf_dim': 728, 'mf_new_dim': 258, 'num_forms': 23, 'plus_dim': 117, 'prim_orbit_index': 1, 'relative_dim': 258, 'sturm_bound': 1440, 'trace_bound': 5, 'trace_display': [2, 0, 0, 4], 'traces': [258, 2, 0, 262, 0, 0, 4, -6, 0, 4, 4, 0, 12, -8, 0, 270, 12, 0, 0, -28, 0, 16, 0, 0, 266, 28, 0, 8, 6, 0, -12, 30, 0, -36, 20, 0, 20, -16, 0, 24, 40, 0, 16, 8, 0, -4, -16, 0, 302, 66, 0, 32, 4, 0, -4, 24, 0, -2, -20, 0, 4, -8, 0, 286, -16, 0, -56, 4, 0, -64, -76, 0, -24, -44, 0, -8, 4, 0, 16, -4, 0, -32, 0, 0, -20, 52, 0, -76, -24, 0, 32, 0, 0, -24, -56, 0, -8, -6, 0, 238, 36, 0, 44, 4, 0, -44, 12, 0, -12, 28, 0, -44, 120, 0, 0, 18, 0, -140, -20, 0, 238, -12, 0, -84, 0, 0, -36, 34, 0, 56, 76, 0, -36, 72, 0, -88, 60, 0, 56, 60, 0, 32, -44, 0, 0, -68, 0, 52, -100, 0, 28, 0, 0, -4, 92, 0, 64, -44, 0, 164, 0, 0, -28, 64, 0, -84, 20, 0, 338, -8, 0, -24, 56, 0, 52, 4, 0, -48, 24, 0, 116, -108, 0, -12, 48, 0, 44, -52, 0, 84, -76, 0, 24, -32, 0, 206, 32, 0, -4, 122, 0, 48, 0, 0, 108, 4, 0, 36, 132, 0, 24, 36, 0, -92, -20, 0, 136, 8, 0, 120, -8, 0, 56, -8, 0, -228, -148, 0, -24, -8, 0, 6, -4, 0, -24, -144, 0, 84, 44, 0, -8, 42, 0, -100, 24, 0, 68, -128, 0, 128, 112, 0, 4, 96, 0, 190, -48, 0, -152, 140, 0, -68, 4, 0, 32, 84, 0, -248, 24, 0, 16, 32, 0, -16, -152, 0, 120, 88, 0, -180, 24, 0, -16, -420, 0, 24, -80, 0, 166, 0, 0, -124, -68, 0, -80, 124, 0, -48, -4, 0, 8, 44, 0, 60, 68, 0, -88, 76, 0, -104, 56, 0, 48, 76, 0, -44, -36, 0, 0, 80, 0, -8, -120, 0, 80, -152, 0, -136, 28, 0, 40, 272, 0, -12, -200, 0, -156, 2, 0, 28, -76, 0, -148, -80, 0, -160, 76, 0, 52, 364, 0, -128, 32, 0, -92, -124, 0, -20, -68, 0, 274, 56, 0, 180, -92, 0, -52, -32, 0, -116, -204, 0, -72, -92, 0, -64, 12, 0, -40, 108, 0, 32, 24, 0, -116, 12, 0, 164, 180, 0, -28, -158, 0, 92, -100, 0, 108, 88, 0, 18, 44, 0, -140, 248, 0, -24, -212, 0, -68, -96, 0, -68, 116, 0, -120, -44, 0, -108, 16, 0, 184, 140, 0, -280, 176, 0, -160, 88, 0, -164, -84, 0, -148, -16, 0, 12, 20, 0, -136, 404, 0, 264, -44, 0, 104, -16, 0, -108, -48, 0, -256, -60, 0, 24, 160, 0, -208, 72, 0, 0, 68, 0, 80, 10, 0, -124, -172, 0, 176, 284, 0, 0, 24, 0, -100, 96, 0, 168, -32, 0, 68, 204, 0, 414, 220, 0, -48, 196, 0, -304, -36, 0, 16, 444, 0, -388, 52, 0, -64, -40, 0, 208, -96, 0, -84, 0, 0, 192, -180, 0, 188, 130, 0, -104, -236, 0, 180, -16, 0, -32, -8, 0, -92, 312, 0, -204, 48, 0, 258, 112, 0, -268, 240, 0, 180, -52, 0, -84, 164, 0, 208, -64, 0, -76, -52, 0, -24, 40, 0, 92, -12, 0, -80, 40, 0, -180, -12, 0, 76, 168, 0, 232, 52, 0, 16, 36, 0, 416, -32, 0, 116, 132, 0, -168, -24, 0, -88, 174, 0, 0, -84, 0, 60, -196, 0, 140, -136, 0, 144, -212, 0, 248, 76, 0, 24, -140, 0, 8, -44, 0, -24, -80, 0, 356, 364, 0, 136, 136, 0, 52, -124, 0, 180, 112, 0, -80, -108, 0, -20, 0, 0, -20, -68, 0, 266, -4, 0, 140, 96, 0, 128, 172, 0, 28, 472, 0, 40, -56, 0, -264, 132, 0, -4, -36, 0, -84, -160, 0, 12, -44, 0, -104, -208, 0, 176, 108, 0, 80, 260, 0, 108, -444, 0, 88, 80, 0, -8, -80, 0, 120, -80, 0, 120, -216, 0, 362, -144, 0, -252, 256, 0, 28, -196, 0, 116, -340, 0, 152, 68, 0, 212, -116, 0, -180, -200, 0, -148, -68, 0, -236, -36, 0, 96, 32, 0, -276, -220, 0, 216, 156, 0, -412, -16, 0, 200, -384, 0, -48, 68, 0, -144, -114, 0, 80, 14, 0, 16, -104, 0, -340, 36, 0, 4, -392, 0, 52, 260, 0, -160, 232, 0, -352, -104, 0, 296, 40, 0, 260, 280, 0, -168, 120, 0, 64, 16, 0, -64, -152, 0, -20, 40, 0, 312, -156, 0, 52, 116, 0, 144, -40, 0, 32, 112, 0, 140, 244, 0, 304, -240, 0, 96, -68, 0, 266, -76, 0, 40, 68, 0, -548, 40, 0, 160, 44, 0, -244, -244, 0, 352, 22, 0, -224, -160, 0, 48, 76, 0, 424, 44, 0, 144, 0, 0, 84, 56, 0, 112, 160, 0, 456, 172, 0, -140, -316, 0, -16, -24, 0, -8, -172, 0, -112, 224, 0, 228, 4, 0, -408, -388, 0, 258, -80, 0, -144, 204, 0, 280, 332, 0, 172, 24, 0, -64, 200, 0, -408, 96, 0, -384, -516, 0, -12, -416, 0, 212, 40, 0, 264, -32, 0, -8, -348, 0, 16, -316, 0, 176, 192, 0, -288, 392, 0, 68, 168, 0, -396, 176, 0, -256, 104, 0, 404, -88, 0, 128, -680, 0, 240, 36, 0, 68, 360, 0, -400, -224, 0, -132, -360, 0, -196, -220, 0, -28, -648, 0, -128, 52, 0, -364, -40, 0, -84, 280, 0, -192, -284, 0, 10, -72, 0, -12, -112, 0, -280, 232, 0, -404, -284, 0, -712, 52, 0, -40, -304, 0, -364, 32, 0, -200, -232, 0, -156, 8, 0, -136, 12, 0, -180, -164, 0, -170, 36, 0, 144, -48, 0, 164, -542, 0, -464, -264, 0, -240, -64, 0, -12, 80, 0, -104, 0, 0, -300, -76, 0, 80, 0, 0, 760, 36, 0, 320, -24, 0, -256, 232, 0, -148, -404, 0, 304], '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: 48385165
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 30, 'source_embedding_index': 21, 'source_hecke_orbit_code': 94575592208340851, 'source_is_minimal': True, 'source_label': '6003.2.a.v.1.21', 'source_level': 6003, 'target_conrey_index': 1, 'target_dim': 30, 'target_embedding_index': 21, 'target_hecke_orbit_code': 94575592208340851, 'target_is_minimal': True, 'target_label': '6003.2.a.v.1.21', 'target_level': 6003, 'twist_class_label': '6003.2.a.v.1.21', 'twist_class_level': 6003, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48385166
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 30, 'source_embedding_index': 21, 'source_hecke_orbit_code': 94575592208340851, 'source_is_minimal': True, 'source_label': '6003.2.a.v.1.21', 'source_level': 6003, 'target_conrey_index': 1, 'target_dim': 30, 'target_embedding_index': 10, 'target_hecke_orbit_code': 99079191835711347, 'target_is_minimal': True, 'target_label': '6003.2.a.w.1.10', 'target_level': 6003, 'twist_class_label': '6003.2.a.v.1.21', 'twist_class_level': 6003, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
• hecke_orbit_code 94575592208340851 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 22, 'label': '6003.2.a.v', 'level': 6003, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 251899000
    {'hecke_orbit_code': 94575592208340851, 'n': 1, 'trace_an': 30}
  • id: 251899001
    {'hecke_orbit_code': 94575592208340851, 'n': 2, 'trace_an': -1}
  • id: 251899002
    {'hecke_orbit_code': 94575592208340851, 'n': 3, 'trace_an': 0}
  • id: 251899003
    {'hecke_orbit_code': 94575592208340851, 'n': 4, 'trace_an': 37}
  • id: 251899004
    {'hecke_orbit_code': 94575592208340851, 'n': 5, 'trace_an': 0}
  • id: 251899005
    {'hecke_orbit_code': 94575592208340851, 'n': 6, 'trace_an': 0}
  • id: 251899006
    {'hecke_orbit_code': 94575592208340851, 'n': 7, 'trace_an': 10}
  • id: 251899007
    {'hecke_orbit_code': 94575592208340851, 'n': 8, 'trace_an': -6}
  • id: 251899008
    {'hecke_orbit_code': 94575592208340851, 'n': 9, 'trace_an': 0}
  • id: 251899009
    {'hecke_orbit_code': 94575592208340851, 'n': 10, 'trace_an': 8}
  • id: 251899010
    {'hecke_orbit_code': 94575592208340851, 'n': 11, 'trace_an': 0}
  • id: 251899011
    {'hecke_orbit_code': 94575592208340851, 'n': 12, 'trace_an': 0}
  • id: 251899012
    {'hecke_orbit_code': 94575592208340851, 'n': 13, 'trace_an': 36}
  • id: 251899013
    {'hecke_orbit_code': 94575592208340851, 'n': 14, 'trace_an': -7}
  • id: 251899014
    {'hecke_orbit_code': 94575592208340851, 'n': 15, 'trace_an': 0}
  • id: 251899015
    {'hecke_orbit_code': 94575592208340851, 'n': 16, 'trace_an': 47}
  • id: 251899016
    {'hecke_orbit_code': 94575592208340851, 'n': 17, 'trace_an': -18}
  • id: 251899017
    {'hecke_orbit_code': 94575592208340851, 'n': 18, 'trace_an': 0}
  • id: 251899018
    {'hecke_orbit_code': 94575592208340851, 'n': 19, 'trace_an': 16}
  • id: 251899019
    {'hecke_orbit_code': 94575592208340851, 'n': 20, 'trace_an': 0}
  • id: 251899020
    {'hecke_orbit_code': 94575592208340851, 'n': 21, 'trace_an': 0}
  • id: 251899021
    {'hecke_orbit_code': 94575592208340851, 'n': 22, 'trace_an': 25}
  • id: 251899022
    {'hecke_orbit_code': 94575592208340851, 'n': 23, 'trace_an': 30}
  • id: 251899023
    {'hecke_orbit_code': 94575592208340851, 'n': 24, 'trace_an': 0}
  • id: 251899024
    {'hecke_orbit_code': 94575592208340851, 'n': 25, 'trace_an': 56}
  • id: 251899025
    {'hecke_orbit_code': 94575592208340851, 'n': 26, 'trace_an': -11}
  • id: 251899026
    {'hecke_orbit_code': 94575592208340851, 'n': 27, 'trace_an': 0}
  • id: 251899027
    {'hecke_orbit_code': 94575592208340851, 'n': 28, 'trace_an': 27}
  • id: 251899028
    {'hecke_orbit_code': 94575592208340851, 'n': 29, 'trace_an': -30}
  • id: 251899029
    {'hecke_orbit_code': 94575592208340851, 'n': 30, 'trace_an': 0}
  • id: 251899030
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  • id: 251899031
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  • id: 251899033
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  • id: 251899034
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  • id: 251899035
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  • id: 251899036
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  • id: 251899037
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  • id: 251899038
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  • id: 251899039
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  • id: 251899040
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  • id: 251899041
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  • id: 251899042
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  • id: 251899043
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  • id: 251899044
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  • id: 251899045
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  • id: 251899046
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  • id: 251899047
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  • id: 251899048
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  • id: 251899049
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  • id: 251899050
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  • id: 251899051
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  • id: 251899052
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  • id: 251899053
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  • id: 251899054
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  • id: 251899055
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  • id: 251899056
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  • id: 251899057
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  • id: 251899058
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  • id: 251899059
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  • id: 251899060
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  • id: 251899061
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  • id: 251899062
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  • id: 251899063
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  • id: 251899064
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  • id: 251899065
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  • id: 251899066
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  • id: 251899067
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  • id: 251899068
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  • id: 251899069
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  • id: 251899070
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  • id: 251899071
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  • id: 251899072
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  • id: 251899073
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  • id: 251899074
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  • id: 251899075
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  • id: 251899076
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  • id: 251899077
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  • id: 251899078
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  • id: 251899079
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  • id: 251899081
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  • id: 251899082
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  • id: 251899084
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  • id: 251899085
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  • id: 251899086
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  • id: 251899087
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  • id: 251899088
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  • id: 251899089
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  • id: 251899090
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  • id: 251899091
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  • id: 251899093
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  • id: 251899094
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  • id: 251899095
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  • id: 251899096
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  • id: 251899097
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  • id: 251899099
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  • id: 251899100
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  • id: 251899102
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  • id: 251899103
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  • id: 251899105
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  • id: 251899108
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  • id: 251899109
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  • id: 251899111
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  • id: 251899112
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  • id: 251899115
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  • id: 251899117
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  • id: 251899118
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  • id: 251899119
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  • id: 251899120
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  • id: 251899121
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  • id: 251899122
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  • id: 251899123
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  • id: 251899124
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  • id: 251899125
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  • id: 251899126
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  • id: 251899127
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  • id: 251899128
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  • id: 251899129
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  • id: 251899130
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  • id: 251899131
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  • id: 251899132
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  • id: 251899133
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  • id: 251899134
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  • id: 251899135
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  • id: 251899136
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  • id: 251899137
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  • id: 251899138
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  • id: 251899139
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  • id: 251899140
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  • id: 251899141
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  • id: 251899142
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  • id: 251899143
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  • id: 251899144
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  • id: 251899145
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  • id: 251899146
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  • id: 251899147
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  • id: 251899148
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  • id: 251899150
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  • id: 251899151
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  • id: 251899152
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  • id: 251899153
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  • id: 251899154
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  • id: 251899155
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  • id: 251899156
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  • id: 251899157
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  • id: 251899158
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  • id: 251899159
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  • id: 251899160
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  • id: 251899161
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  • id: 251899162
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  • id: 251899163
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  • id: 251899164
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  • id: 251899165
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  • id: 251899166
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  • id: 251899167
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  • id: 251899168
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  • id: 251899169
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  • id: 251899170
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  • id: 251899171
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  • id: 251899172
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  • id: 251899173
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  • id: 251899174
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  • id: 251899175
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  • id: 251899176
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  • id: 251899177
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  • id: 251899178
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  • id: 251899179
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  • id: 251899180
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  • id: 251899181
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  • id: 251899182
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  • id: 251899183
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  • id: 251899184
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  • id: 251899185
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  • id: 251899186
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  • id: 251899187
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  • id: 251899188
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  • id: 251899189
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  • id: 251899190
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  • id: 251899191
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  • id: 251899192
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  • id: 251899193
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  • id: 251899194
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  • id: 251899195
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  • id: 251899196
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  • id: 251899198
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  • id: 251899202
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  • id: 251899204
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  • id: 251899205
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  • id: 251899206
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  • id: 251899207
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  • id: 251899208
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  • id: 251899209
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  • id: 251899210
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  • id: 251899211
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  • id: 251899212
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  • id: 251899213
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  • id: 251899214
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  • id: 251899215
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  • id: 251899216
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  • id: 251899217
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  • id: 251899218
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  • id: 251899219
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  • id: 251899220
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  • id: 251899222
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  • id: 251899223
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  • id: 251899228
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  • id: 251899231
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  • id: 251899232
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  • id: 251899234
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  • id: 251899237
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  • id: 251899238
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  • id: 251899240
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  • id: 251899244
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  • id: 251899319
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  • id: 251899321
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  • id: 251899322
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  • id: 251899324
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  • id: 251899325
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  • id: 251899326
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  • id: 251899327
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  • id: 251899328
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  • id: 251899330
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  • id: 251899331
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  • id: 251899333
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  • id: 251899336
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  • id: 251899372
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  • id: 251899373
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  • id: 251899516
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  • id: 251899519
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  • id: 251899520
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  • id: 251899521
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  • id: 251899522
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  • id: 251899523
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  • id: 251899524
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  • id: 251899525
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  • id: 251899526
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  • id: 251899528
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  • id: 251899540
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  • id: 251899797
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  • id: 251899798
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  • id: 251899799
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  • id: 251899800
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  • id: 251899801
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  • id: 251899802
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  • id: 251899803
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  • id: 251899804
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  • id: 251899805
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  • id: 251899806
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  • id: 251899807
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  • id: 251899808
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  • id: 251899809
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  • id: 251899810
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  • id: 251899811
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  • id: 251899812
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  • id: 251899813
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  • id: 251899814
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  • id: 251899815
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  • id: 251899816
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  • id: 251899817
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  • id: 251899818
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  • id: 251899819
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  • id: 251899820
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  • id: 251899821
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  • id: 251899822
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  • id: 251899823
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  • id: 251899824
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  • id: 251899825
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  • id: 251899826
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  • id: 251899827
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  • id: 251899828
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  • id: 251899829
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  • id: 251899830
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  • id: 251899831
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  • id: 251899832
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  • id: 251899833
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  • id: 251899834
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  • id: 251899835
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  • id: 251899836
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  • id: 251899837
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  • id: 251899838
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  • id: 251899839
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  • id: 251899840
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  • id: 251899841
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  • id: 251899842
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  • id: 251899843
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  • id: 251899844
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  • id: 251899845
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  • id: 251899846
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  • id: 251899847
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  • id: 251899848
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  • id: 251899849
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  • id: 251899850
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  • id: 251899851
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  • id: 251899852
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  • id: 251899853
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  • id: 251899854
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  • id: 251899855
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  • id: 251899856
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  • id: 251899857
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  • id: 251899858
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  • id: 251899859
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  • id: 251899860
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  • id: 251899861
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  • id: 251899862
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  • id: 251899863
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  • id: 251899864
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  • id: 251899865
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  • id: 251899866
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  • id: 251899867
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  • id: 251899868
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  • id: 251899869
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  • id: 251899870
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  • id: 251899871
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  • id: 251899872
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  • id: 251899873
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  • id: 251899874
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  • id: 251899875
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  • id: 251899876
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  • id: 251899877
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  • id: 251899878
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  • id: 251899879
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  • id: 251899880
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  • id: 251899881
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  • id: 251899882
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  • id: 251899883
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  • id: 251899884
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  • id: 251899885
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  • id: 251899886
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  • id: 251899887
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  • id: 251899888
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  • id: 251899889
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  • id: 251899890
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  • id: 251899891
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  • id: 251899892
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  • id: 251899893
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  • id: 251899894
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  • id: 251899895
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  • id: 251899896
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  • id: 251899897
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  • id: 251899898
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  • id: 251899899
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  • id: 251899900
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  • id: 251899901
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  • id: 251899902
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  • id: 251899903
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  • id: 251899904
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  • id: 251899905
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  • id: 251899906
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  • id: 251899907
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  • id: 251899908
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  • id: 251899909
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  • id: 251899910
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  • id: 251899911
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  • id: 251899912
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  • id: 251899913
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  • id: 251899914
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  • id: 251899915
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  • id: 251899916
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  • id: 251899917
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  • id: 251899918
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  • id: 251899919
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  • id: 251899920
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  • id: 251899921
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  • id: 251899922
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  • id: 251899923
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  • id: 251899924
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  • id: 251899925
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  • id: 251899926
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  • id: 251899927
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  • id: 251899928
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  • id: 251899929
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  • id: 251899930
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  • id: 251899931
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  • id: 251899932
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  • id: 251899933
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  • id: 251899934
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  • id: 251899935
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  • id: 251899936
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  • id: 251899937
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  • id: 251899938
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  • id: 251899939
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  • id: 251899940
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  • id: 251899941
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  • id: 251899942
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  • id: 251899943
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  • id: 251899944
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  • id: 251899945
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  • id: 251899946
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  • id: 251899947
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  • id: 251899948
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  • id: 251899949
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  • id: 251899950
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  • id: 251899951
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  • id: 251899952
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  • id: 251899953
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  • id: 251899954
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  • id: 251899955
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  • id: 251899956
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  • id: 251899957
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  • id: 251899958
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  • id: 251899959
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  • id: 251899960
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  • id: 251899961
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  • id: 251899962
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  • id: 251899963
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  • id: 251899964
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  • id: 251899965
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  • id: 251899966
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  • id: 251899967
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  • id: 251899968
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  • id: 251899969
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  • id: 251899970
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  • id: 251899971
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  • id: 251899972
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  • id: 251899973
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  • id: 251899974
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  • id: 251899975
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  • id: 251899976
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  • id: 251899977
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  • id: 251899978
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  • id: 251899979
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  • id: 251899980
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  • id: 251899981
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  • id: 251899982
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  • id: 251899983
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  • id: 251899984
    {'hecke_orbit_code': 94575592208340851, 'n': 985, 'trace_an': 6}
  • id: 251899985
    {'hecke_orbit_code': 94575592208340851, 'n': 986, 'trace_an': -3}
  • id: 251899986
    {'hecke_orbit_code': 94575592208340851, 'n': 987, 'trace_an': 0}
  • id: 251899987
    {'hecke_orbit_code': 94575592208340851, 'n': 988, 'trace_an': 224}
  • id: 251899988
    {'hecke_orbit_code': 94575592208340851, 'n': 989, 'trace_an': 34}
  • id: 251899989
    {'hecke_orbit_code': 94575592208340851, 'n': 990, 'trace_an': 0}
  • id: 251899990
    {'hecke_orbit_code': 94575592208340851, 'n': 991, 'trace_an': 18}
  • id: 251899991
    {'hecke_orbit_code': 94575592208340851, 'n': 992, 'trace_an': 134}
  • id: 251899992
    {'hecke_orbit_code': 94575592208340851, 'n': 993, 'trace_an': 0}
  • id: 251899993
    {'hecke_orbit_code': 94575592208340851, 'n': 994, 'trace_an': -350}
  • id: 251899994
    {'hecke_orbit_code': 94575592208340851, 'n': 995, 'trace_an': 82}
  • id: 251899995
    {'hecke_orbit_code': 94575592208340851, 'n': 996, 'trace_an': 0}
  • id: 251899996
    {'hecke_orbit_code': 94575592208340851, 'n': 997, 'trace_an': 206}
  • id: 251899997
    {'hecke_orbit_code': 94575592208340851, 'n': 998, 'trace_an': -361}
  • id: 251899998
    {'hecke_orbit_code': 94575592208340851, 'n': 999, 'trace_an': 0}
  • id: 251899999
    {'hecke_orbit_code': 94575592208340851, 'n': 1000, 'trace_an': -116}