Embedded newform data - 585.2.bf.b.244.3

Formats: - HTML - YAML - JSON - 2024-06-17T06:40:28.771208

• mf_newforms •

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

  
  {'Nk2': 2340, 'analytic_conductor': 4.671248518244902, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 65, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 32, 'char_orbit_label': 'bf', 'char_order': 6, 'char_parity': 1, 'char_values': [585, 6, [326, 352, 496], [6, 3, 1]], 'cm_discs': [], 'conrey_index': 199, 'dim': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [36, 0, 96, 0, 208, 0, 116, 0, 48, 0, 8, 0, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4505729964704329, 'inner_twist_count': 8, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 5, 2, 1, 2, 0], [1, 1, 13, 5, 1, 6, 0], [1, 1, 15, 4, -1, 2, 0], [1, 1, 39, 8, -1, 6, 0], [1, 1, 65, 12, 1, 6, 0], [1, 1, 195, 25, -1, 6, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '585.2.bf.b', 'level': 585, '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, 5, 13], 'level_radical': 195, 'minimal_twist': '585.2.bf.b', 'prim_orbit_index': 12, 'related_objects': [], 'relative_dim': 12, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '585.2.bf', 'trace_display': [0, 0, 0, 0], 'traces': [24, 0, 0, -8, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 16, 0, 0, 24, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, -48, 0, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -144, 0, 0, 40, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 4, 0, 0, -40, 0, 0, 0, 0, 0, -16, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, -44, 0, 0, 96, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 96, 0, 0, -60, 0, 0, 0, 0, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, -8, 0, 0, -44, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 80, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 160, 0, 0, 100, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 100, 0, 0, 24, 0, 0, 0, 0, 0, -112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -184, 0, 0, 0, 0, 0, -192, 0, 0, 16, 0, 0, 0, 0, 0, -140, 0, 0, 0, 0, 0, 48, 0, 0, -208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -228, 0, 0, -80, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 32, 0, 0, -124, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, -132, 0, 0, 0, 0, 0, 0, 0, 0, 276, 0, 0, 0, 0, 0, -200, 0, 0, 96, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 132, 0, 0, -32, 0, 0, 0, 0, 0, 120, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 20, 0, 0, 0, 0, 0, -84, 0, 0, -104, 0, 0, 0, 0, 0, -240, 0, 0, 0, 0, 0, 240, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 176, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 336, 0, 0, 204, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, 0, 0, 0, -144, 0, 0, 36, 0, 0, 0, 0, 0, -52, 0, 0, 0, 0, 0, 144, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -744, 0, 0, 200, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 136, 0, 0, -88, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -168, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 0, 0, 0, -196, 0, 0, -72, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 408, 0, 0, -124, 0, 0, 0, 0, 0, 204, 0, 0, 0, 0, 0, 0, 0, 0, 264, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, -256, 0, 0, 12, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 448, 0, 0, -216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 96, 0, 0, 0, 0, 0, 68, 0, 0, 0, 0, 0, 328, 0, 0, -264, 0, 0, 0, 0, 0, -408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -296, 0, 0, 0, 0, 0, -324, 0, 0, -40, 0, 0, 0, 0, 0, -264, 0, 0, 0, 0, 0, 144, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -420, 0, 0, -336, 0, 0, 0, 0, 0, 204, 0, 0, 0, 0, 0, -72, 0, 0, -196, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -36, 0, 0, 0, 0, 0, 0, 0, 0, 408, 0, 0, 0, 0, 0, -256, 0, 0, 228, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, 0, 252, 0, 0, 120, 0, 0, 0, 0, 0, 132, 0, 0, 0, 0, 0, 0, 0, 0, 168, 0, 0, 0, 0, 0, 192, 0, 0, 0, 0, 0, -112, 0, 0, -216, 0, 0, 0, 0, 0, -216, 0, 0, 0, 0, 0, 448, 0, 0, 192, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336, 0, 0, 184, 0, 0, 0, 0, 0, 276, 0, 0, 0, 0, 0, 376, 0, 0, 96, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -432, 0, 0, 0, 0, 0, -528, 0, 0, 172, 0, 0, 0, 0, 0, -152, 0, 0, 0, 0, 0, 12, 0, 0, 208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -744, 0, 0, -56, 0, 0, 0, 0, 0, 348, 0, 0, 0, 0, 0, -104, 0, 0, -72, 0, 0, 0, 0, 0, -88, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, 0, 636, 0, 0, 0, 0, 0, -160, 0, 0, 384, 0, 0, 0, 0, 0, 204, 0, 0, 0, 0, 0, 648, 0, 0, -176, 0, 0, 0, 0, 0, -144, 0, 0, 0, 0, 0, 0, 0, 0, 912, 0, 0, 0, 0, 0, 160, 0, 0, 0, 0, 0, -120, 0, 0, 100, 0, 0, 0, 0, 0, -372, 0, 0, 0, 0, 0, 192, 0, 0, 216, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 496, 0, 0, -72, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 312, 0, 0, -648, 0, 0, 0, 0, 0, -144], '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], [-0.5509091045358341, -0.9542025594083385], [0.0, 0.0], [-0.10700168292094925, 0.18533235131445908], [0.9312799633300906, -0.3643043094720473], [0.0, 0.0], [0.7263817899524251, -1.2581301658904245], [-0.8660254037844386, 0.0], [0.0, 0.0], [-0.8606707151720596, -0.6879311636254851], [-0.9939464707543691, 0.5738552624501135], [0.0, 0.0], [-0.05374448711878375, -0.9985547206359494], [-1.6006813658153076, 0.0], [0.0, 0.0], [0.5841029626251185, 1.0116960081182103], [0.09992921016038421, 0.05769415638600451], [0.0, 0.0], [0.14728721767616837, 0.08503631477352681], [-0.0321311490784347, 0.2115774795448723], [0.0, 0.0], [1.0951483203196843, 0.6322841775391362], [0.9379545485407723, -0.5415283110876489], [0.0, 0.0], [0.7345647402001896, -0.6785386079322443], [-0.9232151428677545, 0.6013960141384128], [0.0, 0.0], [0.1554481479360819, 0.26924409016777695], [-0.5560833763471351, -0.9631646610776832], [0.0, 0.0], [0.0, 1.0094155366270388], [0.21056257830084435, -0.3647050837897624], [0.0, 0.0], [0.0, -0.12713694412625648], [0.21812256539987665, -1.4362954311566032], [0.0, 0.0], [0.212576076795828, 0.36819256548403756], [0.0, -0.1873891200996439], [0.0, 0.0], [-0.8065121062792989, 0.31549678671094084], [-0.7823429188668217, 0.45168589480635707], [0.0, 0.0], [-0.6157022494862343, -0.3554758594815355], [0.0, -0.24561391534082064], [0.0, 0.0], [-1.033455400863819, -0.5966657538841985], [-0.7375071223873801, 0.0], [0.0, 0.0], [-0.5552610095489781, -0.9617402800008176], [-1.0521416795936027, -0.3271104582611981], [0.0, 0.0], [0.19081524486104645, 0.09688644342879106], [0.0, 0.13070082972822242], [0.0, 0.0], [-0.7165844877124128, 0.8965188904516701], [-0.6290650829452122, 1.0895726849286378], [0.0, 0.0], [-0.6127027898213269, 1.0612323619097332], [1.248211653994191, 0.7206553344391742], [0.0, 0.0], [0.8060218875049907, -1.39607086117121], [0.9631868885560618, -0.5560962093877604], [0.0, 0.0], [0.7042025594083385, 0.0], [-0.41382895196450803, -0.9103546553491979], [0.0, 0.0], [0.3826269863935385, 0.6627293807805742], [-0.02138518732024466, 0.012346743656013827], [0.0, 0.0], [-1.4906824836596388, 0.583135119658119], [0.05994480349560632, 0.034609148434707526], [0.0, 0.0], [-1.6522760814425073, 0.0], [0.2342201922266606, -0.4056812730951252], [0.0, 0.0], [-0.03151996032818839, 0.018198057580325895], [0.0, 1.6673520508485287], [0.0, 0.0], [-0.6981860940725383, 0.0], [0.9125286012476489, 0.7293809948818051], [0.0, 0.0], [0.861999673745743, 0.49767574367847434], [0.34945193250279677, 0.0], [0.0, 0.0], [0.1140803009765432, 0.017324769939952932], [0.0, 0.7833395497243149], [0.0, 0.0], [0.8607828936751704, -0.4969732353771846], [1.536821462712471, -0.8872842851934395], [0.0, 0.0], [-1.2953508330777908, -0.6577144048465335], [0.0, 0.23177776254287105], [0.0, 0.0], [0.40629938838323143, 0.7037311837639169], [0.16814473061007046, 0.025535247974440456], [0.0, 0.0], [0.5938165969292034, -1.0285205162590294], [-0.6117966911085816, 1.0596629529025856], [0.0, 0.0], [0.047155492249912556, 0.2087433834695842], [-0.04723028184736831, -0.08180524781543998], [0.0, 0.0], [0.0, 1.6030076541367306], [0.046544091158232256, 0.8647737551396054], [0.0, 0.0], [0.12471506624346328, -0.07200427706766553], [1.025773651209711, -0.5922306936535521], [0.0, 0.0], [0.0, 1.8279685329010418], [1.2502335382768224, 0.18986633306930825], [0.0, 0.0], [1.6971270220325922, 0.0], [-0.9167422466095603, -0.5292813828575319], [0.0, 0.0], [0.6762171801399922, -0.8460153498142233], [0.23800742845402814, 0.0], [0.0, 0.0], [0.0, -1.58806233989943], [0.1451735170896639, -0.08381596917092218], [0.0, 0.0], [0.15861972448337738, -0.2747374218877866], [-1.776179185126629, 0.0], [0.0, 0.0], [-0.18707735485643556, -0.10800916118564623], [0.4368908853043296, -0.899514510354335], [0.0, 0.0], [1.3575900455289391, -0.7838049782352894], [-0.5985141797163347, -1.0366569683191016], [0.0, 0.0], [-0.6406806047457307, 0.8963993131102584], [1.4288121238932587, 0.0], [0.0, 0.0], [0.21397350562545528, -0.1235376610723045], [0.42158538089061814, -0.7302072994308278], [0.0, 0.0], [-0.08654123457900677, -0.049964605080192105], [0.20256242837829389, -0.3508484176557368], [0.0, 0.0], [0.2735591961174758, -0.47381842655316686], [0.24285252785764647, 0.19411119622572795], [0.0, 0.0], [0.0, -0.07626597989164996], [0.6264450245755613, 0.9616683836704205], [0.0, 0.0], [-0.8687543430948167, -0.6943923798202363], [0.9102539364734685, 1.5766060657616208], [0.0, 0.0], [-0.09098399186354617, 0.0], [-0.41395094160231155, -0.23899468756539363], [0.0, 0.0], [0.0, 1.4724550329922106], [-0.1275544721602902, -0.07364360883808418], [0.0, 0.0], [1.5909915943544084, -0.9185594252789495], [0.3677344300412694, 0.9400484639348523], [0.0, 0.0], [0.0, 0.12173244518233195], [0.3846370758848737, 0.6662109579073271], [0.0, 0.0], [0.06322907648772512, -0.41635139174657054], [0.0, -1.5734252156710402], [0.0, 0.0], [-0.021674148842649083, 0.03754072700627839], [0.0, -0.19332460358374023], [0.0, 0.0], [-0.1925162512134325, -0.3334479283843586], [-0.38604864746301015, -0.6686558715991795], [0.0, 0.0], [-0.9942230602086778, 0.10733362264123897], [-0.046316536638302125, -0.1184000886637999], [0.0, 0.0], [0.13176235374648246, -0.07607303040459033], [1.69206862852457, 0.9769162781659814], [0.0, 0.0], [-0.3201154405383003, -1.4170561470269716], [-1.1611341565168156, -0.6703811178302524], [0.0, 0.0], [-1.6932978717087563, -0.9776259820492709], [0.8920582691820027, 1.5450902455351827], [0.0, 0.0], [1.5775738025920378, 0.0], [0.08602779904633798, 1.5983679340688743], [0.0, 0.0], [-0.8122924666314733, 0.46897727427038616], [0.33210197932467705, 0.2654479780150054], [0.0, 0.0], [-0.13243238101891405, 0.0], [0.07891450326163615, -0.1366839291032137], [0.0, 0.0], [-0.0682666640004753, -0.1745117328948543], [-0.25102677739931384, 0.43479113251589435], [0.0, 0.0], [0.5453656893110886, 0.9446010825916284], [-1.3085558786911353, 0.0], [0.0, 0.0], 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-0.47581887565112496, -0.34494112197005977, -0.28938963016489394, -0.37538032916453945, -0.4827190145556385, -0.2781596052617212, 0.04919794519350767, 0.0928923863356561, 0.058355994991769, -0.13400407385194013, -0.11648597545358925, -0.4142422428757053, 0.06179320843608136, -0.3882539847195074, -0.0917789224851888, -0.2483432783761702], 'char_orbit_index': 32, 'conrey_index': 244, 'dual_conrey_index': 199, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 3, 'embedding_m': 15, 'hecke_orbit': 2, 'hecke_orbit_code': 4505729964704329, 'label': '585.2.bf.b.244.3', 'level': 585, '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

  
  {'Nk2': 2340, 'analytic_conductor': 4.671248518244902, 'char_conductor': 65, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 32, 'char_orbit_label': 'bf', 'char_order': 6, 'char_parity': 1, 'char_values': [585, 6, [326, 352, 496], [6, 3, 1]], 'conrey_index': 199, 'cusp_dim': 152, 'dim': 64, 'eis_dim': 32, 'eis_new_dim': 8, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 2130337333833, 'hecke_orbit_dims': [8, 24, 32], 'label': '585.2.bf', 'level': 585, '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, 5, 13], 'level_radical': 195, 'mf_dim': 184, 'mf_new_dim': 72, 'num_forms': 3, 'prim_orbit_index': 12, 'relative_dim': 32, 'sturm_bound': 168, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [64, 0, 0, -30, 0, 0, 0, 0, 0, 2, 12, 0, 0, -20, 0, -14, 0, 0, 12, 6, 0, 0, 0, 0, 4, -34, 0, 0, 24, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, -56, 36, 0, 0, 0, 0, -54, 0, 0, -28, -42, 0, 0, 0, 0, 10, 68, 0, 0, -24, 0, 20, 0, 0, 24, 4, 0, 0, 0, 0, 0, -24, 0, 0, 2, 0, -90, 0, 0, -16, -84, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, -8, -6, 0, 0, 0, 0, -48, 20, 0, 0, 152, 0, 132, 0, 0, 0, 180, 0, 0, 0, 0, 30, -140, 0, 0, 24, 0, 4, 0, 0, 132, 0, 0, 0, 0, 0, 64, 24, 0, 0, -134, 0, 12, 0, 0, -40, -102, 0, 0, 0, 0, 24, -140, 0, 0, -132, 0, 0, 0, 0, -78, 20, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 4, 0, 0, 4, 96, 0, 0, 0, 0, -48, 198, 0, 0, 4, 0, 48, 0, 0, 48, 36, 0, 0, 0, 0, 0, -64, 0, 0, 92, 0, 120, 0, 0, 40, 0, 0, 0, 0, 0, 60, 288, 0, 0, -56, 0, 28, 0, 0, -42, 24, 0, 0, 0, 0, -64, -28, 0, 0, 146, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, -112, 6, 0, 0, 0, 0, -144, 0, 0, 34, -246, 0, 0, 0, 0, -128, 120, 0, 0, -210, 0, -58, 0, 0, -16, -170, 0, 0, 0, 0, 0, -150, 0, 0, 80, 0, -84, 0, 0, -68, -60, 0, 0, 0, 0, 78, 0, 0, 0, -186, 0, -2, 0, 0, -136, 22, 0, 0, 0, 0, -6, 60, 0, 0, 76, 0, -288, 0, 0, 0, 234, 0, 0, 0, 0, 132, -248, 0, 0, 252, 0, -100, 0, 0, -60, 0, 0, 0, 0, 0, 114, -300, 0, 0, -72, 0, 72, 0, 0, 110, -32, 0, 0, 0, 0, 0, -212, 0, 0, -228, 0, 0, 0, 0, 24, 172, 0, 0, 0, 0, -14, 0, 0, 0, 0, 0, -100, 0, 0, 94, 320, 0, 0, 0, 0, -72, 204, 0, 0, 110, 0, -64, 0, 0, 108, 160, 0, 0, 0, 0, 0, -214, 0, 0, 248, 0, 72, 0, 0, 78, 0, 0, 0, 0, 0, -84, 396, 0, 0, -4, 0, 230, 0, 0, 48, -186, 0, 0, 0, 0, -24, 2, 0, 0, 176, 0, 0, 0, 0, 0, -10, 0, 0, 0, 0, 332, 0, 0, 0, 0, 0, 300, 0, 0, -28, -522, 0, 0, 0, 0, 22, 266, 0, 0, -132, 0, -36, 0, 0, 12, -36, 0, 0, 0, 0, 0, -144, 0, 0, 86, 0, -444, 0, 0, 272, -144, 0, 0, 0, 0, -12, 0, 0, 0, -84, 0, 132, 0, 0, 44, -28, 0, 0, 0, 0, 38, 32, 0, 0, 240, 0, 0, 0, 0, 0, 456, 0, 0, 0, 0, 192, -36, 0, 0, -120, 0, -136, 0, 0, -6, 0, 0, 0, 0, 0, -254, -320, 0, 0, -268, 0, 138, 0, 0, -188, -210, 0, 0, 0, 0, 258, -460, 0, 0, -180, 0, 0, 0, 0, 198, -116, 0, 0, 0, 0, 72, 0, 0, 0, 0, 0, -250, 0, 0, -192, 496, 0, 0, 0, 0, -240, 426, 0, 0, -64, 0, 472, 0, 0, -402, 52, 0, 0, 0, 0, 0, -32, 0, 0, 280, 0, -172, 0, 0, 108, 0, 0, 0, 0, 0, 22, 1038, 0, 0, -8, 0, 212, 0, 0, -264, -240, 0, 0, 0, 0, -180, 144, 0, 0, 8, 0, 0, 0, 0, 0, 124, 0, 0, 0, 0, -236, 0, 0, 0, 0, 0, -168, 0, 0, 8, -468, 0, 0, 0, 0, -70, 92, 0, 0, -186, 0, 278, 0, 0, -336, -212, 0, 0, 0, 0, 0, -582, 0, 0, 164, 0, -204, 0, 0, -600, 6, 0, 0, 0, 0, 126, 0, 0, 0, -612, 0, 118, 0, 0, 16, -116, 0, 0, 0, 0, -92, 210, 0, 0, -92, 0, 336, 0, 0, 0, 324, 0, 0, 0, 0, -168, -320, 0, 0, 276, 0, -22, 0, 0, 240, 0, 0, 0, 0, 0, -110, -540, 0, 0, -100, 0, 216, 0, 0, 44, -18, 0, 0, 0, 0, -198, -256, 0, 0, 330, 0, 0, 0, 0, 12, 376, 0, 0, 0, 0, 172, 0, 0, 0, 0, 0, 96, 0, 0, 278, 296, 0, 0, 0, 0, 78, 372, 0, 0, -2, 0, 164, 0, 0, 324, 398, 0, 0, 0, 0, 0, -300, 0, 0, 368, 0, 112, 0, 0, 132, 0, 0, 0, 0, 0, 352, 636, 0, 0, 108, 0, -30, 0, 0, 48, -498, 0, 0, 0, 0, -92, -228, 0, 0, 248, 0, 0, 0, 0, 0, 8, 0, 0, 0, 0, -428, 348, 0, 0, 0, 0, -606, 0, 0, 152, -468, 0, 0, 0, 0, -178, 486, 0, 0, -84, 0, -16, 0, 0, 380, 96, 0, 0, 0, 0, 0, -396, 0, 0, 74, 0, -24, 0, 0, 56, -366, 0, 0, 0, 0, 162, 0, 0, 0, 120, 0, -184, 0, 0, -178, -208, 0, 0, 0, 0, 26, 164, 0, 0, -38, 0, -660, 0, 0, 0, 312, 0, 0, 0, 0, 390, -724, 0, 0, -396, 0, -24, 0, 0, -300, 0, 0, 0, 0, 0, 276, -152, 0, 0, -306, 0, 624, 0, 0, 20, -162, 0, 0, 0, 0, -114, -444, 0, 0, -36, 0, 0, 0, 0, 780, 172, 0, 0, 0, 0, -100, 0, 0, 0, 0, 0, -118, 0, 0, 20, 80, 0, 0, 0, 0, -210, 744, 0, 0, -260, 0, -64, 0, 0, 354, 194, 0, 0, 0, 0, 0, -192, 0, 0, -284, 0, 372, 0, 0, -212, 0, 0, 0, 0, 0, -278, 1050, 0, 0, 112, 0, 132, 0, 0, -330, -96, 0, 0, 0, 0, 172], '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: 38835998
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 244, 'source_dim': 24, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4505729964704329, 'source_is_minimal': True, 'source_label': '585.2.bf.b.244.3', 'source_level': 585, 'target_conrey_index': 244, 'target_dim': 24, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4505729964704329, 'target_is_minimal': True, 'target_label': '585.2.bf.b.244.3', 'target_level': 585, 'twist_class_label': '585.2.bf.b.199.3', 'twist_class_level': 585, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 38835999
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 244, 'source_dim': 24, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4505729964704329, 'source_is_minimal': True, 'source_label': '585.2.bf.b.244.3', 'source_level': 585, 'target_conrey_index': 244, 'target_dim': 24, 'target_embedding_index': 10, 'target_hecke_orbit_code': 4505729964704329, 'target_is_minimal': True, 'target_label': '585.2.bf.b.244.10', 'target_level': 585, 'twist_class_label': '585.2.bf.b.199.3', 'twist_class_level': 585, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 38836000
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 244, 'source_dim': 24, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4505729964704329, 'source_is_minimal': True, 'source_label': '585.2.bf.b.244.3', 'source_level': 585, 'target_conrey_index': 244, 'target_dim': 24, 'target_embedding_index': 9, 'target_hecke_orbit_code': 4505729964704329, 'target_is_minimal': True, 'target_label': '585.2.bf.b.244.9', 'target_level': 585, 'twist_class_label': '585.2.bf.b.199.3', 'twist_class_level': 585, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 38836001
    {'conductor': 13, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 244, 'source_dim': 24, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4505729964704329, 'source_is_minimal': True, 'source_label': '585.2.bf.b.244.3', 'source_level': 585, 'target_conrey_index': 199, 'target_dim': 24, 'target_embedding_index': 10, 'target_hecke_orbit_code': 4505729964704329, 'target_is_minimal': True, 'target_label': '585.2.bf.b.199.10', 'target_level': 585, 'twist_class_label': '585.2.bf.b.199.3', 'twist_class_level': 585, 'twisting_char_label': '13.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 38836002
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 244, 'source_dim': 24, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4505729964704329, 'source_is_minimal': True, 'source_label': '585.2.bf.b.244.3', 'source_level': 585, 'target_conrey_index': 244, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4505729964704329, 'target_is_minimal': True, 'target_label': '585.2.bf.b.244.4', 'target_level': 585, 'twist_class_label': '585.2.bf.b.199.3', 'twist_class_level': 585, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
  • id: 38836003
    {'conductor': 39, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 244, 'source_dim': 24, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4505729964704329, 'source_is_minimal': True, 'source_label': '585.2.bf.b.244.3', 'source_level': 585, 'target_conrey_index': 199, 'target_dim': 24, 'target_embedding_index': 3, 'target_hecke_orbit_code': 4505729964704329, 'target_is_minimal': True, 'target_label': '585.2.bf.b.199.3', 'target_level': 585, 'twist_class_label': '585.2.bf.b.199.3', 'twist_class_level': 585, 'twisting_char_label': '39.17', 'twisting_conrey_index': 17, 'weight': 2}
  • id: 38836004
    {'conductor': 65, 'degree': 2, 'order': 6, 'parity': 1, 'source_conrey_index': 244, 'source_dim': 24, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4505729964704329, 'source_is_minimal': True, 'source_label': '585.2.bf.b.244.3', 'source_level': 585, 'target_conrey_index': 199, 'target_dim': 24, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4505729964704329, 'target_is_minimal': True, 'target_label': '585.2.bf.b.199.4', 'target_level': 585, 'twist_class_label': '585.2.bf.b.199.3', 'twist_class_level': 585, 'twisting_char_label': '65.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 38836005
    {'conductor': 195, 'degree': 2, 'order': 6, 'parity': -1, 'source_conrey_index': 244, 'source_dim': 24, 'source_embedding_index': 3, 'source_hecke_orbit_code': 4505729964704329, 'source_is_minimal': True, 'source_label': '585.2.bf.b.244.3', 'source_level': 585, 'target_conrey_index': 199, 'target_dim': 24, 'target_embedding_index': 9, 'target_hecke_orbit_code': 4505729964704329, 'target_is_minimal': True, 'target_label': '585.2.bf.b.199.9', 'target_level': 585, 'twist_class_label': '585.2.bf.b.199.3', 'twist_class_level': 585, 'twisting_char_label': '195.134', 'twisting_conrey_index': 134, 'weight': 2}
• hecke_orbit_code 4505729964704329 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': 32, 'hecke_orbit': 2, 'label': '585.2.bf.b', 'level': 585, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 25242181
    {'hecke_orbit_code': 4505729964704329, 'n': 1, 'trace_an': 24}
  • id: 25242182
    {'hecke_orbit_code': 4505729964704329, 'n': 2, 'trace_an': 0}
  • id: 25242183
    {'hecke_orbit_code': 4505729964704329, 'n': 3, 'trace_an': 0}
  • id: 25242184
    {'hecke_orbit_code': 4505729964704329, 'n': 4, 'trace_an': -8}
  • id: 25242185
    {'hecke_orbit_code': 4505729964704329, 'n': 5, 'trace_an': 0}
  • id: 25242186
    {'hecke_orbit_code': 4505729964704329, 'n': 6, 'trace_an': 0}
  • id: 25242187
    {'hecke_orbit_code': 4505729964704329, 'n': 7, 'trace_an': 0}
  • id: 25242188
    {'hecke_orbit_code': 4505729964704329, 'n': 8, 'trace_an': 0}
  • id: 25242189
    {'hecke_orbit_code': 4505729964704329, 'n': 9, 'trace_an': 0}
  • id: 25242190
    {'hecke_orbit_code': 4505729964704329, 'n': 10, 'trace_an': 4}
  • id: 25242191
    {'hecke_orbit_code': 4505729964704329, 'n': 11, 'trace_an': 0}
  • id: 25242192
    {'hecke_orbit_code': 4505729964704329, 'n': 12, 'trace_an': 0}
  • id: 25242193
    {'hecke_orbit_code': 4505729964704329, 'n': 13, 'trace_an': 0}
  • id: 25242194
    {'hecke_orbit_code': 4505729964704329, 'n': 14, 'trace_an': 0}
  • id: 25242195
    {'hecke_orbit_code': 4505729964704329, 'n': 15, 'trace_an': 0}
  • id: 25242196
    {'hecke_orbit_code': 4505729964704329, 'n': 16, 'trace_an': 16}
  • id: 25242197
    {'hecke_orbit_code': 4505729964704329, 'n': 17, 'trace_an': 0}
  • id: 25242198
    {'hecke_orbit_code': 4505729964704329, 'n': 18, 'trace_an': 0}
  • id: 25242199
    {'hecke_orbit_code': 4505729964704329, 'n': 19, 'trace_an': 24}
  • id: 25242200
    {'hecke_orbit_code': 4505729964704329, 'n': 20, 'trace_an': 0}
  • id: 25242201
    {'hecke_orbit_code': 4505729964704329, 'n': 21, 'trace_an': 0}
  • id: 25242202
    {'hecke_orbit_code': 4505729964704329, 'n': 22, 'trace_an': 0}
  • id: 25242203
    {'hecke_orbit_code': 4505729964704329, 'n': 23, 'trace_an': 0}
  • id: 25242204
    {'hecke_orbit_code': 4505729964704329, 'n': 24, 'trace_an': 0}
  • id: 25242205
    {'hecke_orbit_code': 4505729964704329, 'n': 25, 'trace_an': 8}
  • id: 25242206
    {'hecke_orbit_code': 4505729964704329, 'n': 26, 'trace_an': 0}
  • id: 25242207
    {'hecke_orbit_code': 4505729964704329, 'n': 27, 'trace_an': 0}
  • id: 25242208
    {'hecke_orbit_code': 4505729964704329, 'n': 28, 'trace_an': 0}
  • id: 25242209
    {'hecke_orbit_code': 4505729964704329, 'n': 29, 'trace_an': 0}
  • id: 25242210
    {'hecke_orbit_code': 4505729964704329, 'n': 30, 'trace_an': 0}
  • id: 25242211
    {'hecke_orbit_code': 4505729964704329, 'n': 31, 'trace_an': 0}
  • id: 25242212
    {'hecke_orbit_code': 4505729964704329, 'n': 32, 'trace_an': 0}
  • id: 25242213
    {'hecke_orbit_code': 4505729964704329, 'n': 33, 'trace_an': 0}
  • id: 25242214
    {'hecke_orbit_code': 4505729964704329, 'n': 34, 'trace_an': 0}
  • id: 25242215
    {'hecke_orbit_code': 4505729964704329, 'n': 35, 'trace_an': 0}
  • id: 25242216
    {'hecke_orbit_code': 4505729964704329, 'n': 36, 'trace_an': 0}
  • id: 25242217
    {'hecke_orbit_code': 4505729964704329, 'n': 37, 'trace_an': 0}
  • id: 25242218
    {'hecke_orbit_code': 4505729964704329, 'n': 38, 'trace_an': 0}
  • id: 25242219
    {'hecke_orbit_code': 4505729964704329, 'n': 39, 'trace_an': 0}
  • id: 25242220
    {'hecke_orbit_code': 4505729964704329, 'n': 40, 'trace_an': -48}
  • id: 25242221
    {'hecke_orbit_code': 4505729964704329, 'n': 41, 'trace_an': 0}
  • id: 25242222
    {'hecke_orbit_code': 4505729964704329, 'n': 42, 'trace_an': 0}
  • id: 25242223
    {'hecke_orbit_code': 4505729964704329, 'n': 43, 'trace_an': 0}
  • id: 25242224
    {'hecke_orbit_code': 4505729964704329, 'n': 44, 'trace_an': 0}
  • id: 25242225
    {'hecke_orbit_code': 4505729964704329, 'n': 45, 'trace_an': 0}
  • id: 25242226
    {'hecke_orbit_code': 4505729964704329, 'n': 46, 'trace_an': -48}
  • id: 25242227
    {'hecke_orbit_code': 4505729964704329, 'n': 47, 'trace_an': 0}
  • id: 25242228
    {'hecke_orbit_code': 4505729964704329, 'n': 48, 'trace_an': 0}
  • id: 25242229
    {'hecke_orbit_code': 4505729964704329, 'n': 49, 'trace_an': -16}
  • id: 25242230
    {'hecke_orbit_code': 4505729964704329, 'n': 50, 'trace_an': 0}
  • id: 25242231
    {'hecke_orbit_code': 4505729964704329, 'n': 51, 'trace_an': 0}
  • id: 25242232
    {'hecke_orbit_code': 4505729964704329, 'n': 52, 'trace_an': 0}
  • id: 25242233
    {'hecke_orbit_code': 4505729964704329, 'n': 53, 'trace_an': 0}
  • id: 25242234
    {'hecke_orbit_code': 4505729964704329, 'n': 54, 'trace_an': 0}
  • id: 25242235
    {'hecke_orbit_code': 4505729964704329, 'n': 55, 'trace_an': 0}
  • id: 25242236
    {'hecke_orbit_code': 4505729964704329, 'n': 56, 'trace_an': 0}
  • id: 25242237
    {'hecke_orbit_code': 4505729964704329, 'n': 57, 'trace_an': 0}
  • id: 25242238
    {'hecke_orbit_code': 4505729964704329, 'n': 58, 'trace_an': 0}
  • id: 25242239
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  • id: 25242240
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  • id: 25242241
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  • id: 25242242
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  • id: 25242243
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  • id: 25242244
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  • id: 25242245
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  • id: 25242246
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  • id: 25242247
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  • id: 25242248
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  • id: 25242249
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  • id: 25242250
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  • id: 25242251
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  • id: 25242252
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  • id: 25242253
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  • id: 25242254
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  • id: 25242255
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  • id: 25242256
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  • id: 25242257
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  • id: 25242258
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  • id: 25242259
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  • id: 25242260
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  • id: 25242261
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  • id: 25242262
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  • id: 25242263
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  • id: 25242264
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  • id: 25242265
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  • id: 25242266
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  • id: 25242267
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  • id: 25242268
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  • id: 25242269
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  • id: 25242270
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  • id: 25242271
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  • id: 25242272
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  • id: 25242273
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  • id: 25242274
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  • id: 25242275
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  • id: 25242276
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  • id: 25242277
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  • id: 25242278
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  • id: 25242279
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  • id: 25242280
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  • id: 25242281
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  • id: 25242282
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  • id: 25242283
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  • id: 25242284
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  • id: 25242285
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  • id: 25242286
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  • id: 25242287
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  • id: 25242288
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  • id: 25242289
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  • id: 25242290
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  • id: 25242291
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  • id: 25242292
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  • id: 25242293
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  • id: 25242294
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  • id: 25242296
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  • id: 25242297
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  • id: 25242298
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  • id: 25242299
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  • id: 25242300
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  • id: 25242301
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  • id: 25242302
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  • id: 25242303
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  • id: 25242304
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  • id: 25242305
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  • id: 25242306
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  • id: 25242307
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  • id: 25242308
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  • id: 25242309
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  • id: 25242310
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  • id: 25242311
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  • id: 25242312
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  • id: 25242313
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  • id: 25242314
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  • id: 25242315
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  • id: 25242316
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  • id: 25242317
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  • id: 25242318
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  • id: 25242319
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  • id: 25242320
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  • id: 25242321
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  • id: 25242322
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  • id: 25242323
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  • id: 25242324
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  • id: 25242325
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  • id: 25242326
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  • id: 25242327
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  • id: 25242328
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  • id: 25242329
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  • id: 25242330
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  • id: 25242331
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  • id: 25242332
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  • id: 25242333
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  • id: 25242334
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  • id: 25242335
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  • id: 25242336
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  • id: 25242337
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  • id: 25242338
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  • id: 25242339
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  • id: 25242340
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  • id: 25242341
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  • id: 25242342
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  • id: 25242343
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  • id: 25242344
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  • id: 25242345
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  • id: 25242346
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  • id: 25242347
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  • id: 25242348
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  • id: 25242349
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  • id: 25242350
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  • id: 25242351
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  • id: 25242352
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  • id: 25242353
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  • id: 25242354
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  • id: 25242355
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  • id: 25242356
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  • id: 25242357
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  • id: 25242358
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  • id: 25242359
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  • id: 25242360
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  • id: 25242361
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  • id: 25242362
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  • id: 25242363
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  • id: 25242364
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  • id: 25242365
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  • id: 25242366
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  • id: 25242367
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  • id: 25242368
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  • id: 25242369
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  • id: 25242370
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  • id: 25242371
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  • id: 25242372
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  • id: 25242373
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  • id: 25242374
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  • id: 25242375
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  • id: 25242376
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  • id: 25242377
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  • id: 25242378
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  • id: 25242379
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  • id: 25242380
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  • id: 25242381
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  • id: 25242382
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  • id: 25242383
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  • id: 25242384
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  • id: 25242385
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  • id: 25242386
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  • id: 25242387
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  • id: 25242388
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  • id: 25242389
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  • id: 25242390
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  • id: 25242391
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  • id: 25242392
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  • id: 25242393
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  • id: 25242394
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  • id: 25242395
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  • id: 25242396
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  • id: 25242397
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  • id: 25242398
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  • id: 25242399
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  • id: 25242400
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  • id: 25242401
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  • id: 25242402
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  • id: 25242403
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  • id: 25242404
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  • id: 25242405
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  • id: 25242406
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  • id: 25242407
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  • id: 25242408
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  • id: 25242409
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  • id: 25242410
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  • id: 25242411
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  • id: 25242412
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  • id: 25242413
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  • id: 25242414
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  • id: 25242415
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  • id: 25242416
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  • id: 25242417
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  • id: 25242418
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  • id: 25242419
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  • id: 25242420
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  • id: 25242421
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  • id: 25242422
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  • id: 25242423
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  • id: 25242424
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  • id: 25242425
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  • id: 25242426
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  • id: 25242427
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  • id: 25242428
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  • id: 25242429
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  • id: 25242430
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  • id: 25242431
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  • id: 25242432
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  • id: 25242433
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  • id: 25242434
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  • id: 25242435
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  • id: 25242436
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  • id: 25242437
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  • id: 25242438
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