Embedded newform data - 2320.2.a.s.1.1

Formats: - HTML - YAML - JSON - 2025-11-07T18:33:57.166586

• 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': 9280, 'analytic_conductor': 18.525293268937048, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [5, 1], [29, -1]], 'atkin_lehner_string': '-+-', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [2320, 1, [2031, 581, 1857, 321], [1, 1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 3, 'field_disc': 148, 'field_disc_factorization': [[2, 2], [37, 1]], 'field_poly': [1, -3, -1, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [4, -4, -2, 1]], [7, [-4, -8, -2, 1]], [11, [4, 16, 8, 1]]], 'hecke_orbit': 19, 'hecke_orbit_code': 81064793326225680, 'hecke_ring_generator_nbound': 3, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2320.2.a.s', 'level': 2320, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 29], 'level_radical': 290, 'minimal_twist': '145.2.a.d', 'nf_label': '3.3.148.1', 'prim_orbit_index': 1, 'qexp_display': 'q+(1-\\beta _{1})q^{3}-q^{5}+(1-\\beta _{2})q^{7}+(1+\\cdots)q^{9}+\\cdots', 'related_objects': [], 'relative_dim': 3, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2320.2.a', 'trace_display': [0, 2, -3, 2], 'trace_hash': 535331244419051496, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '2.996', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '25.387', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '323.695', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.007', 'prec': 17}, 'traces': [3, 0, 2, 0, -3, 0, 2, 0, 3, 0, -8, 0, -6, 0, -2, 0, 0, 0, 0, 0, 0, 0, -14, 0, 3, 0, 8, 0, 3, 0, -12, 0, -16, 0, -2, 0, 4, 0, -16, 0, -10, 0, 10, 0, -3, 0, -18, 0, -1, 0, -8, 0, 10, 0, 8, 0, -20, 0, -4, 0, 6, 0, -18, 0, 6, 0, 10, 0, -20, 0, -24, 0, -4, 0, 2, 0, -4, 0, -8, 0, -1, 0, 2, 0, 0, 0, 2, 0, 22, 0, 16, 0, 12, 0, 0, 0, -36, 0, -20, 0, 6, 0, 10, 0, 0, 0, 2, 0, -10, 0, 16, 0, 4, 0, 14, 0, -38, 0, -36, 0, -1, 0, -16, 0, -3, 0, 18, 0, -4, 0, 8, 0, -16, 0, -8, 0, -40, 0, 16, 0, -44, 0, 28, 0, -3, 0, 6, 0, -22, 0, -4, 0, 28, 0, 12, 0, -28, 0, 16, 0, -8, 0, -2, 0, 16, 0, -46, 0, 5, 0, -4, 0, 6, 0, 2, 0, 28, 0, -16, 0, 14, 0, -8, 0, -4, 0, 8, 0, -32, 0, -36, 0, 40, 0, 16, 0, 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0, -56, 0, 122, 0, -96, 0, 76, 0, 56, 0, 8, 0, 40, 0, 64, 0, -52, 0, 26, 0, 20, 0, -92, 0, -170, 0, 88, 0, -148, 0, 36, 0, -24, 0, 104, 0, -60, 0, -48, 0, -38, 0, -110, 0, 6, 0, 184, 0, -44, 0, -30, 0, -72, 0, 28, 0, -124, 0, 72, 0, 56, 0, -64, 0, 108, 0, 56, 0, -26, 0, 52, 0, -50, 0, 92, 0, 168, 0, 86, 0, 2, 0, -12, 0, 74, 0, -96, 0, -108, 0, -36, 0, -84, 0, -32, 0, -96, 0, -136, 0, 28, 0, 10, 0, 46, 0, -100, 0, 28, 0, 12, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
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-0.2513982554501088, -0.24434940940812144, -0.29947382001197803, -0.4816159766806491, -0.2253695869500773, -0.33174614765047644, -0.3088758448170789, -0.22463441534058184, -0.15669744862737506, -0.3285391545859601, -0.4545969360223921, -0.26656955821213835, -0.3538573210823068, -0.21496679272901723, -0.25403939772432554, -0.1852488668493114, -0.16873699746934495, -0.19813276900629626, -0.2646598278058357, -0.4222185024518992, -0.3564305827379446, -0.14514054226322465, -0.3109149083352228, -0.24864171058178236, -0.22396592720974046, -0.2710878652601142, -0.290793924160478, -0.20368683313086344, -0.4217384963278688, -0.24670815013019576, -0.24211131909141317, -0.17050515366912794, -0.19756877922033247, -0.25417150745905953, -0.2729574613387525, -0.0992739981602034, -0.1002320930606669, -0.1603268244786695, -0.19550986440936044, -0.22356046442953303, -0.1969071430810003, -0.26248466975651824, -0.2770184728827253, -0.14643311978882126, -0.25950622556362013, -0.28488223054852946, -0.3205814204954801, -0.1591641354710324, -0.3155866644479647, -0.20961052921632298, -0.3665371045865867, -0.27629863069081007, -0.3249240036113783, -0.22546908906440502, -0.4247097425373017, -0.31971518415298633, -0.21736933127265734, -0.3362352585509133, -0.2917321422565951, -0.444595178593242, -0.3625202160372015, -0.31867831122944973, -0.31437954193291184, -0.08626915084556155, -0.1527140825340699, -0.19138796433439154, -0.1482621183686352, -0.23477677375278394, -0.41936238598929215, -0.23265601675161512, -0.14385974386383915, -0.2755178295523502, -0.1555520786311018, -0.26742898824762334, -0.24421717482352293, -0.2730902306182944, -0.08442076673547466, -0.13406478585695505, -0.17242644365449164, -0.17337185859608917, -0.239523838670167, -0.3067810854918072, -0.34948417027068146, -0.28749730892947944, -0.25751390142444913, -0.23721124975427604, -0.15364146561537037, -0.28096776561739417, -0.1150389286874628, -0.3118652551616313, -0.2030353504641586, -0.23068307110486497, -0.15951969289899107, -0.26690483893660943, -0.11985259294691251, -0.32838325077932384, -0.21394023978143584, -0.3715113571918481, -0.18026670540100168, -0.30905549585700287, -0.2128265742197004, -0.34493292276854626, -0.3380152284884082, -0.3675539241713491, -0.2934167470497915, -0.17460397876301806, -0.27276720711148733, -0.11900807396830679, -0.11981439869642817, -0.2803193704603807, -0.0897397931617166, -0.34003924021801, -0.3013045046489428, -0.26838851352790344, -0.17134338135919105, -0.16964400333215368, -0.40139141593217637, -0.14711555016165398, -0.18279744000444859, -0.2755063143981896, -0.1531169874282475, -0.17148291225331092, -0.20121580264030292, -0.20590604747609617, -0.3200479534775509, -0.3955370261247699, -0.3124518021244033, -0.28171613922827005, -0.1115333446809925, -0.11788694350414536, -0.20378149839247084, -0.29287511646911685, -0.3906422434113671, -0.27628200755055515, -0.21490826911345146, -0.2582509294100402, -0.4118836974801835, -0.07500828193224453, -0.1366123038701086, -0.27124383189150103, -0.2558662358899765, -0.32252142479935697, -0.3496875609129426, -0.1294104340223098, -0.23329887323207613, -0.2649845857941274, -0.22984140370966297, -0.1523140146559744, -0.24673689538474874, -0.3832295310268106, -0.385264616468832, -0.23244943621099062, -0.26751584829526376, -0.3012883968008147, -0.3896753294847021, -0.24761045906811363, -0.17273092500146087, -0.2584905564183925, -0.24251104545437296, -0.22797689726886408, -0.3044035059743527, -0.13067474628369347, -0.18024440708402162, -0.1298166842774743, -0.3134817316292009, -0.15536325177033614, -0.2437740829886562], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 2.1700864866260337, 'hecke_orbit': 19, 'hecke_orbit_code': 81064793326225680, 'label': '2320.2.a.s.1.1', 'level': 2320, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'ALdims': [6, 8, 8, 6, 8, 6, 6, 8], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [2, 3, 3, 3, 3, 3, 3, 3], 'ALdims_old': [32, 39, 35, 39, 42, 34, 38, 34], 'Nk2': 9280, 'analytic_conductor': 18.525293268937048, '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': [2320, 1, [2031, 581, 1857, 321], [1, 1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 349, 'dim': 56, 'eis_dim': 23, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7, 11], 'hecke_orbit_code': 33556752, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 5, 5, 5], 'label': '2320.2.a', 'level': 2320, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 5, 29], 'level_radical': 290, 'mf_dim': 372, 'mf_new_dim': 56, 'num_forms': 23, 'plus_dim': 24, 'prim_orbit_index': 1, 'relative_dim': 56, 'sturm_bound': 720, 'trace_bound': 11, 'trace_display': [0, -4, 0, -8], 'traces': [56, 0, -4, 0, 0, 0, -8, 0, 64, 0, 0, 0, 0, 0, 4, 0, 8, 0, 0, 0, 0, 0, 0, 0, 56, 0, -16, 0, 0, 0, -24, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, -44, 0, 0, 0, -4, 0, 48, 0, 48, 0, 0, 0, 8, 0, -16, 0, -8, 0, -16, 0, 8, 0, 8, 0, -8, 0, 16, 0, 16, 0, 8, 0, -4, 0, 32, 0, -24, 0, 72, 0, 40, 0, -16, 0, 12, 0, 16, 0, 0, 0, 32, 0, 16, 0, 8, 0, 32, 0, 0, 0, 16, 0, 0, 0, -24, 0, -16, 0, 64, 0, -8, 0, 8, 0, 32, 0, 16, 0, 88, 0, 24, 0, 0, 0, -12, 0, -48, 0, 72, 0, 0, 0, 16, 0, -40, 0, 24, 0, -16, 0, 56, 0, 0, 0, 84, 0, 48, 0, 0, 0, -24, 0, -8, 0, 16, 0, 72, 0, 0, 0, -28, 0, 0, 0, -24, 0, 32, 0, -48, 0, 16, 0, -8, 0, -32, 0, 56, 0, -16, 0, -56, 0, -8, 0, 0, 0, -48, 0, 32, 0, -24, 0, 8, 0, -64, 0, -32, 0, -48, 0, -24, 0, 0, 0, 32, 0, -32, 0, -96, 0, -80, 0, 28, 0, -64, 0, -48, 0, -32, 0, -32, 0, 64, 0, 16, 0, -32, 0, 32, 0, 16, 0, 20, 0, -48, 0, -64, 0, -56, 0, 68, 0, -32, 0, -136, 0, -64, 0, 96, 0, 0, 0, -48, 0, 0, 0, -160, 0, 0, 0, 76, 0, -24, 0, 56, 0, -96, 0, 16, 0, -96, 0, 0, 0, 0, 0, 88, 0, -8, 0, 40, 0, -16, 0, 136, 0, 16, 0, 88, 0, 64, 0, -48, 0, -64, 0, 8, 0, 0, 0, 104, 0, 16, 0, -164, 0, -16, 0, -8, 0, -64, 0, 56, 0, 112, 0, 0, 0, -64, 0, 80, 0, 0, 0, 144, 0, 16, 0, 120, 0, 64, 0, -24, 0, -40, 0, 40, 0, 16, 0, -112, 0, 0, 0, 0, 0, -48, 0, 64, 0, -64, 0, 0, 0, -32, 0, 32, 0, 56, 0, 148, 0, 16, 0, -92, 0, 32, 0, 40, 0, 0, 0, 4, 0, 0, 0, -104, 0, -64, 0, 112, 0, 32, 0, -52, 0, 16, 0, 16, 0, 32, 0, -48, 0, -16, 0, -176, 0, 104, 0, -136, 0, -64, 0, -16, 0, 0, 0, -56, 0, -16, 0, 8, 0, 16, 0, -40, 0, 32, 0, -60, 0, 8, 0, 56, 0, 16, 0, 16, 0, -8, 0, -12, 0, 48, 0, -48, 0, 72, 0, -84, 0, 0, 0, -24, 0, 16, 0, -112, 0, 64, 0, 16, 0, -48, 0, -8, 0, 48, 0, -40, 0, -32, 0, 20, 0, 16, 0, -96, 0, 112, 0, 0, 0, 48, 0, -168, 0, -16, 0, 8, 0, 0, 0, -104, 0, -16, 0, -72, 0, 0, 0, -24, 0, 16, 0, -136, 0, 16, 0, -156, 0, 16, 0, -108, 0, -16, 0, 128, 0, -96, 0, 0, 0, -96, 0, 136, 0, -40, 0, 112, 0, 0, 0, -80, 0, 112, 0, -168, 0, 80, 0, 8, 0, -96, 0, 144, 0, 0, 0, 16, 0, 16, 0, 8, 0, -144, 0, 0, 0, -64, 0, -48, 0, 48, 0, 40, 0, -64, 0, -132, 0, -48, 0, -200, 0, 32, 0, -72, 0, -80, 0, 0, 0, 24, 0, -120, 0, -112, 0, -88, 0, 40, 0, 48, 0, -96, 0, 24, 0, -32, 0, 8, 0, 0, 0, -248, 0, -80, 0, 88, 0, -48, 0, 44, 0, 0, 0, 40, 0, 160, 0, 56, 0, 88, 0, 88, 0, -64, 0, 256, 0, 56, 0, -104, 0, -16, 0, -272, 0, -144, 0, -84, 0, 96, 0, -32, 0, 32, 0, -8, 0, 32, 0, 256, 0, 80, 0, -232, 0, -48, 0, 24, 0, -40, 0, 128, 0, 16, 0, -352, 0, -32, 0, -24, 0, 64, 0, 16, 0, 48, 0, -16, 0, 80, 0, -64, 0, -64, 0, -32, 0, -16, 0, 232, 0, -48, 0, 56, 0, -32, 0, -48, 0, 128, 0, -8, 0, 64, 0, -32, 0, 0, 0, -256, 0, 0, 0, -264, 0, -96, 0, -24, 0, 16, 0, -64, 0, -96, 0, -200, 0, 0, 0, -132, 0, 208, 0, 24, 0, 80, 0, -84, 0, -16, 0, -128, 0, -96, 0, 44, 0, 16, 0, 392, 0, 192, 0, 152, 0, -32, 0, 48, 0, 64, 0, 0, 0, -168, 0, -80, 0, 0, 0, 80, 0, -80, 0, 40, 0, 112, 0, -24, 0, -192, 0, 16, 0, 176, 0, 48, 0, -8, 0, -128, 0, 32, 0, -128, 0, -144, 0, -120, 0, -128, 0, 272, 0, -240, 0, 96, 0, 16, 0, -72, 0, 32, 0, -24, 0, -16, 0, 12, 0, -128, 0, 200, 0, 128, 0, -44, 0, 0, 0, 188, 0, 32, 0, -328, 0, -40, 0, 48, 0, 224, 0, 232, 0, 56, 0, -192, 0, 0, 0, -40, 0, 16, 0, 48, 0, 144, 0, 48, 0, -48, 0, -72, 0, -112, 0, 0, 0, -72, 0, -244, 0, -64, 0, -128, 0, -184, 0, 0, 0, 128, 0, 112, 0, 16, 0, -320, 0, -112, 0, 92, 0, -64, 0, 96, 0, 192, 0, 32, 0, 240, 0, 0, 0, 112, 0, 192, 0, -48, 0, -100, 0, -16, 0, -104, 0, 96, 0, 128, 0, 96, 0, -144, 0, 16, 0, 336, 0, 0, 0, -144, 0, 8, 0, 48, 0, 0, 0, 0, 0, 80, 0, 72, 0, -32, 0, -8, 0, 80, 0, 260, 0, -16, 0, -144, 0, 48, 0, 88, 0, 0, 0, 80, 0, -112, 0, -488, 0, 80, 0, -132, 0, 128, 0, -344, 0, 144, 0, -8, 0, -128, 0, 160, 0, -112, 0, 172, 0, -24, 0, 448, 0, 128, 0, -176, 0, 48, 0, -16, 0, -32, 0, 624, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 48174115
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81064793326225680, 'source_is_minimal': False, 'source_label': '2320.2.a.s.1.1', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 81064793326225680, 'target_is_minimal': False, 'target_label': '2320.2.a.s.1.1', 'target_level': 2320, 'twist_class_label': '145.2.a.d.1.2', 'twist_class_level': 145, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 48174116
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81064793326225680, 'source_is_minimal': False, 'source_label': '2320.2.a.s.1.1', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510798915666065, 'target_is_minimal': True, 'target_label': '145.2.a.d.1.2', 'target_level': 145, 'twist_class_label': '145.2.a.d.1.2', 'twist_class_level': 145, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48174117
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81064793326225680, 'source_is_minimal': False, 'source_label': '2320.2.a.s.1.1', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 1, 'target_hecke_orbit_code': 207165582892606528, 'target_is_minimal': False, 'target_label': '9280.2.a.bu.1.1', 'target_level': 9280, 'twist_class_label': '145.2.a.d.1.2', 'twist_class_level': 145, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48174118
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81064793326225680, 'source_is_minimal': False, 'source_label': '2320.2.a.s.1.1', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 3, 'target_hecke_orbit_code': 171136785873642560, 'target_is_minimal': False, 'target_label': '9280.2.a.bm.1.3', 'target_level': 9280, 'twist_class_label': '145.2.a.d.1.2', 'twist_class_level': 145, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
  • id: 48174119
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81064793326225680, 'source_is_minimal': False, 'source_label': '2320.2.a.s.1.1', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 63050394816742681, 'target_is_minimal': False, 'target_label': '1305.2.a.o.1.2', 'target_level': 1305, 'twist_class_label': '145.2.a.d.1.2', 'twist_class_level': 145, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 48174120
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81064793326225680, 'source_is_minimal': False, 'source_label': '2320.2.a.s.1.1', 'source_level': 2320, 'target_conrey_index': 349, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510867635143381, 'target_is_minimal': False, 'target_label': '725.2.b.d.349.2', 'target_level': 725, 'twist_class_label': '145.2.a.d.1.2', 'twist_class_level': 145, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 48174121
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81064793326225680, 'source_is_minimal': False, 'source_label': '2320.2.a.s.1.1', 'source_level': 2320, 'target_conrey_index': 349, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 13510867635143381, 'target_is_minimal': False, 'target_label': '725.2.b.d.349.5', 'target_level': 725, 'twist_class_label': '145.2.a.d.1.2', 'twist_class_level': 145, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 48174122
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81064793326225680, 'source_is_minimal': False, 'source_label': '2320.2.a.s.1.1', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13510798915666645, 'target_is_minimal': False, 'target_label': '725.2.a.d.1.2', 'target_level': 725, 'twist_class_label': '145.2.a.d.1.2', 'twist_class_level': 145, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 48174123
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81064793326225680, 'source_is_minimal': False, 'source_label': '2320.2.a.s.1.1', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 67553994444118977, 'target_is_minimal': False, 'target_label': '7105.2.a.p.1.2', 'target_level': 7105, 'twist_class_label': '145.2.a.d.1.2', 'twist_class_level': 145, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 48174124
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81064793326225680, 'source_is_minimal': False, 'source_label': '2320.2.a.s.1.1', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 148618787736787325, 'target_is_minimal': False, 'target_label': '6525.2.a.bh.1.2', 'target_level': 6525, 'twist_class_label': '145.2.a.d.1.2', 'twist_class_level': 145, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
  • id: 48174125
    {'conductor': 116, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 3, 'source_embedding_index': 1, 'source_hecke_orbit_code': 81064793326225680, 'source_is_minimal': False, 'source_label': '2320.2.a.s.1.1', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 3, 'target_embedding_index': 2, 'target_hecke_orbit_code': 18014398543040621, 'target_is_minimal': False, 'target_label': '4205.2.a.e.1.2', 'target_level': 4205, 'twist_class_label': '145.2.a.d.1.2', 'twist_class_level': 145, 'twisting_char_label': '116.115', 'twisting_conrey_index': 115, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2572350
    {'charpoly_factorization': [[[0, 1], 3]], 'hecke_orbit_code': 81064793326225680, 'p': 2}
  • id: 2572351
    {'charpoly_factorization': [[[4, -4, -2, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 3}
  • id: 2572352
    {'charpoly_factorization': [[[1, 1], 3]], 'hecke_orbit_code': 81064793326225680, 'p': 5}
  • id: 2572353
    {'charpoly_factorization': [[[-4, -8, -2, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 7}
  • id: 2572354
    {'charpoly_factorization': [[[4, 16, 8, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 11}
  • id: 2572355
    {'charpoly_factorization': [[[-8, -4, 6, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 13}
  • id: 2572356
    {'charpoly_factorization': [[[76, -40, 0, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 17}
  • id: 2572357
    {'charpoly_factorization': [[[-52, -28, 0, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 19}
  • id: 2572358
    {'charpoly_factorization': [[[76, 60, 14, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 23}
  • id: 2572359
    {'charpoly_factorization': [[[-1, 1], 3]], 'hecke_orbit_code': 81064793326225680, 'p': 29}
  • id: 2572360
    {'charpoly_factorization': [[[4, 20, 12, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 31}
  • id: 2572361
    {'charpoly_factorization': [[[68, -40, -4, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 37}
  • id: 2572362
    {'charpoly_factorization': [[[-8, 20, 10, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 41}
  • id: 2572363
    {'charpoly_factorization': [[[-20, 28, -10, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 43}
  • id: 2572364
    {'charpoly_factorization': [[[-92, 60, 18, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 47}
  • id: 2572365
    {'charpoly_factorization': [[[8, 20, -10, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 53}
  • id: 2572366
    {'charpoly_factorization': [[[80, -48, 4, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 59}
  • id: 2572367
    {'charpoly_factorization': [[[40, -4, -6, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 61}
  • id: 2572368
    {'charpoly_factorization': [[[-20, 28, -10, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 67}
  • id: 2572369
    {'charpoly_factorization': [[[368, 176, 24, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 71}
  • id: 2572370
    {'charpoly_factorization': [[[-1108, -180, 4, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 73}
  • id: 2572371
    {'charpoly_factorization': [[[-20, -56, 8, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 79}
  • id: 2572372
    {'charpoly_factorization': [[[-52, -32, -2, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 83}
  • id: 2572373
    {'charpoly_factorization': [[[-200, 124, -22, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 89}
  • id: 2572374
    {'charpoly_factorization': [[[452, 348, 36, 1], 1]], 'hecke_orbit_code': 81064793326225680, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 19, 'label': '2320.2.a.s', 'level': 2320, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 62917147
    {'hecke_orbit_code': 81064793326225680, 'n': 1, 'trace_an': 3}
  • id: 62917148
    {'hecke_orbit_code': 81064793326225680, 'n': 2, 'trace_an': 0}
  • id: 62917149
    {'hecke_orbit_code': 81064793326225680, 'n': 3, 'trace_an': 2}
  • id: 62917150
    {'hecke_orbit_code': 81064793326225680, 'n': 4, 'trace_an': 0}
  • id: 62917151
    {'hecke_orbit_code': 81064793326225680, 'n': 5, 'trace_an': -3}
  • id: 62917152
    {'hecke_orbit_code': 81064793326225680, 'n': 6, 'trace_an': 0}
  • id: 62917153
    {'hecke_orbit_code': 81064793326225680, 'n': 7, 'trace_an': 2}
  • id: 62917154
    {'hecke_orbit_code': 81064793326225680, 'n': 8, 'trace_an': 0}
  • id: 62917155
    {'hecke_orbit_code': 81064793326225680, 'n': 9, 'trace_an': 3}
  • id: 62917156
    {'hecke_orbit_code': 81064793326225680, 'n': 10, 'trace_an': 0}
  • id: 62917157
    {'hecke_orbit_code': 81064793326225680, 'n': 11, 'trace_an': -8}
  • id: 62917158
    {'hecke_orbit_code': 81064793326225680, 'n': 12, 'trace_an': 0}
  • id: 62917159
    {'hecke_orbit_code': 81064793326225680, 'n': 13, 'trace_an': -6}
  • id: 62917160
    {'hecke_orbit_code': 81064793326225680, 'n': 14, 'trace_an': 0}
  • id: 62917161
    {'hecke_orbit_code': 81064793326225680, 'n': 15, 'trace_an': -2}
  • id: 62917162
    {'hecke_orbit_code': 81064793326225680, 'n': 16, 'trace_an': 0}
  • id: 62917163
    {'hecke_orbit_code': 81064793326225680, 'n': 17, 'trace_an': 0}
  • id: 62917164
    {'hecke_orbit_code': 81064793326225680, 'n': 18, 'trace_an': 0}
  • id: 62917165
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  • id: 62917166
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  • id: 62917169
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  • id: 62917170
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  • id: 62917171
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  • id: 62917172
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  • id: 62917173
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  • id: 62917174
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  • id: 62917175
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  • id: 62917176
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  • id: 62917177
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  • id: 62917178
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  • id: 62917179
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  • id: 62917180
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  • id: 62917181
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  • id: 62917182
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  • id: 62917183
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  • id: 62917184
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  • id: 62917185
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  • id: 62917186
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  • id: 62917187
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  • id: 62917188
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  • id: 62917189
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  • id: 62917190
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  • id: 62917191
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  • id: 62917192
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  • id: 62917193
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  • id: 62917194
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  • id: 62917195
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  • id: 62917196
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  • id: 62917199
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  • id: 62917201
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  • id: 62917202
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  • id: 62917203
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  • id: 62917204
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  • id: 62917205
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  • id: 62917206
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  • id: 62917207
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  • id: 62917208
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  • id: 62917209
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  • id: 62917210
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  • id: 62917211
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  • id: 62917212
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  • id: 62917213
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  • id: 62917214
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  • id: 62917215
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  • id: 62917216
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  • id: 62917217
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  • id: 62917218
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  • id: 62917219
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  • id: 62917220
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  • id: 62917221
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  • id: 62917222
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  • id: 62917223
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  • id: 62917224
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  • id: 62917225
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  • id: 62917226
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  • id: 62917227
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  • id: 62917228
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  • id: 62917229
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  • id: 62917230
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  • id: 62917231
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  • id: 62917232
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  • id: 62917233
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  • id: 62917234
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  • id: 62917235
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  • id: 62917236
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  • id: 62917237
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  • id: 62917238
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  • id: 62917239
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  • id: 62917240
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  • id: 62917241
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  • id: 62917242
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  • id: 62917243
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  • id: 62917244
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  • id: 62917245
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  • id: 62917246
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  • id: 62917247
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  • id: 62917248
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  • id: 62917249
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  • id: 62917250
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  • id: 62917251
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  • id: 62917252
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  • id: 62917253
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  • id: 62917254
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  • id: 62917255
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  • id: 62917256
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  • id: 62917257
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  • id: 62917258
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  • id: 62917259
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  • id: 62917260
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  • id: 62917261
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  • id: 62917262
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  • id: 62917263
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  • id: 62917264
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  • id: 62917265
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  • id: 62917266
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  • id: 62917267
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  • id: 62917268
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  • id: 62917269
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  • id: 62917270
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  • id: 62917271
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  • id: 62917272
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  • id: 62917273
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  • id: 62917274
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  • id: 62917275
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  • id: 62917276
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  • id: 62917277
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  • id: 62917278
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  • id: 62917279
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  • id: 62917280
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  • id: 62917281
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  • id: 62917282
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  • id: 62917283
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  • id: 62917284
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  • id: 62917285
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  • id: 62917286
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  • id: 62917287
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  • id: 62917288
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  • id: 62917289
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  • id: 62917290
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  • id: 62917291
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  • id: 62917292
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  • id: 62917293
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  • id: 62917294
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  • id: 62917295
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  • id: 62917296
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  • id: 62917297
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  • id: 62917298
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  • id: 62917299
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  • id: 62917300
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  • id: 62917301
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  • id: 62917302
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  • id: 62917303
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  • id: 62917304
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  • id: 62917305
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  • id: 62917306
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  • id: 62917307
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  • id: 62917308
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  • id: 62917309
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  • id: 62917310
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  • id: 62917311
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  • id: 62917312
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  • id: 62917313
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  • id: 62917314
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  • id: 62917315
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  • id: 62917316
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  • id: 62917317
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  • id: 62917318
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  • id: 62917319
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  • id: 62917320
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  • id: 62917321
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  • id: 62917322
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  • id: 62917323
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  • id: 62917324
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  • id: 62917325
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  • id: 62917326
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  • id: 62917327
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  • id: 62917328
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  • id: 62917329
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  • id: 62917330
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  • id: 62917331
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  • id: 62917332
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  • id: 62917333
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  • id: 62917334
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  • id: 62917335
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  • id: 62917336
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  • id: 62917337
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  • id: 62917338
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  • id: 62917339
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  • id: 62917340
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  • id: 62917341
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  • id: 62917342
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  • id: 62917343
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  • id: 62917344
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  • id: 62917345
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  • id: 62917346
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  • id: 62917347
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  • id: 62917348
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  • id: 62917349
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  • id: 62917350
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  • id: 62917351
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  • id: 62917352
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  • id: 62917353
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  • id: 62917354
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  • id: 62917355
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  • id: 62917395
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  • id: 62917400
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