Newform data - 451.2.h.a

Formats: - HTML - YAML - JSON - 2024-06-01T01:13:34.109590

• 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': 1804, 'analytic_conductor': 3.601253131159745, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 451, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 5, 'char_parity': 1, 'char_values': [451, 5, [288, 375], [1, 2]], 'cm_discs': [], 'conrey_index': 59, 'dim': 160, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 481069892035, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 451, 8, 1, 5, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '451.2.h.a', 'level': 451, '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': True, 'level_primes': [11, 41], 'level_radical': 451, 'minimal_twist': '451.2.h.a', 'prim_orbit_index': 8, 'related_objects': [], 'relative_dim': 40, 'rm_discs': [], 'sato_tate_group': '1.2.3.c5', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '451.2.h', 'trace_display': [1, -7, -1, -6], 'traces': [160, 1, -7, -39, -1, -4, -6, 3, -45, 12, 0, 7, -14, -10, 19, -41, 10, 9, 12, 23, 11, 35, 5, 46, -39, 5, 11, -33, -4, 6, 2, -28, -34, -29, 24, -17, -1, -69, 19, 33, -33, 46, -7, 20, -53, -46, -56, -6, 118, 13, 21, 81, 2, 69, -75, 11, -52, 1, 35, 17, 7, -62, -2, -89, -41, -48, -43, 11, -30, 3, 54, 6, -30, -74, 57, -62, -17, 50, -22, 94, -58, 55, 22, -169, 6, 90, 46, 110, -13, 130, 54, 18, -70, -209, 7, 94, 64, 35, -30, -39, 5, -185, -140, -16, 9, 63, 79, -68, -124, 15, -81, -171, 43, 107, 126, 51, 81, -119, -134, 60, -42, 72, 22, 8, -14, 96, 50, 99, 0, 43, 47, 48, -69, -22, 62, -3, -150, 66, -40, -77, 9, -61, -46, 74, 38, 74, -39, -5, 13, 120, 78, 70, 4, -126, -26, 55, 15, -141, -120, 58, 23, -258, -27, 6, -23, 35, 27, -269, -2, -53, -60, -37, 91, -41, 9, -131, -14, 61, 32, 312, -190, 164, 42, 125, 17, -98, -129, 73, 112, -129, 58, 169, 175, -123, 171, -1, 69, -111, 2, 184, 27, -256, 21, 26, -98, -45, -41, -30, 127, 58, 69, -111, 97, 18, -256, 98, -72, 108, 220, 257, -136, 54, 62, 322, -28, 103, -110, 220, -74, 162, 35, -248, -15, 37, 80, -30, 71, -127, -26, -172, -16, -160, -134, 23, -118, -75, -56, -127, -105, -68, -248, 336, 176, -196, 177, -13, 20, 12, 72, 85, 65, -13, 34, -195, -144, 32, 102, -202, -71, 186, -150, -23, 224, 302, 173, -5, -184, -64, 96, 105, 97, 183, 127, 137, -84, -30, -65, -58, 362, -158, 148, 21, 146, -36, 11, -682, -240, 268, 222, -452, 97, 85, 38, -25, -18, -230, 127, 121, -65, 215, -14, 406, 102, -35, -311, 65, 40, -23, 61, 303, -144, 4, -125, 55, 57, 202, 139, 20, -406, 131, 254, -364, -118, -153, -48, 170, -48, -135, -115, 232, 20, 186, -630, 78, -66, -29, -94, -632, -67, 281, 191, 275, -10, -104, 136, 140, -394, -236, 54, 181, 82, 297, 47, 279, -288, 204, -119, 178, -24, 182, -494, -426, 32, -203, -323, 116, 71, -369, 116, -126, 249, -138, 118, -85, 84, -20, -226, 2, 190, -300, 154, -267, -51, -151, 153, 10, 65, 228, 114, -42, 49, -432, 230, 330, 306, 160, 163, 401, -116, 525, -22, -125, -340, 102, 343, 77, -235, 79, 324, 291, -209, -254, 5, -336, 1, -33, 38, -66, -250, 12, 153, 410, 29, -438, -4, 190, -29, -164, -106, -269, -266, 67, -66, -250, -22, -166, 324, -31, -65, -1476, 203, -692, 311, 14, 7, 345, 188, 276, -226, -116, 164, 355, 2, 142, -340, 335, 362, 452, -39, 324, -19, -7, 279, -98, 185, -80, 195, -31, -139, -795, -149, 216, -172, -197, -150, 39, 64, -275, -180, -28, -8, -535, 290, 124, 269, -59, -246, -32, -40, -292, -50, 24, 103, 50, 176, 3, 87, -387, 60, -301, 46, -281, 102, 84, 47, -115, -152, -296, 42, -858, 13, 682, 24, 90, -228, -40, -195, 68, 133, -92, -314, 93, 154, 342, -279, -117, 210, 91, -305, 20, 225, 392, 186, 200, -48, 226, 223, -152, -27, -375, 56, 74, -98, 66, -100, 205, -109, 355, 244, 126, 231, -329, -107, 471, 54, -190, 376, 363, -176, -282, 228, 50, 260, 269, 292, 179, 68, -52, 259, -384, -30, -302, 164, -501, -264, 63, 75, -413, 122, -266, 32, -105, 108, -297, 124, -182, 72, -53, -90, 7, 30, -74, -46, -58, 92, 696, 253, -77, -20, -331, 40, 225, -90, -146, -200, 192, -22, 477, -402, 69, -195, -375, 7, -167, 53, -209, -613, -69, -229, -117, 146, 298, 452, 34, 183, -8, 0, -225, 120, -9, -248, -48, 91, 781, 237, 407, -139, 565, -250, 116, 410, 113, -219, 706, -84, -103, -236, 311, -218, 573, 1, 527, -365, 41, -34, 52, 127, -374, 240, 566, -30, -553, 89, 430, 468, -32, -24, -1276, 108, -118, 322, 81, 124, -370, -135, 390, -68, 48, -204, -338, 16, -73, -519, -206, -63, 259, -331, -5, 105, 41, 10, 178, 225, 576, -125, -134, 127, 126, -157, -108, 206, 494, 42, 537, -93, 100, -64, 27, -138, -624, -46, 82, -178, 214, 284, -91, -145, -379, -42, 354, -34, 86, 81, 39, 121, -175, 366, 405, -4, 688, -189, -189, -94, 586, 61, 257, -822, -423, 219, 822, 26, 229, 264, -10, -396, 498, -186, 22, -32, 51, 210, -293, 140, 233, 166, -528, 112, 212, 185, -58, 550, -229, -54, -896, -35, 385, 444, 357, -380, -540, 24, 742, -564, -450, -189, -541, 558, -90, -225, -177, 295, 312, 2, -1152, 79, -6, -62, -621, -670, -36, -204, 213, 173, -22, -168, -195, 237, -733, -402, -106, 378, 301, 330, -229, 177, -246, 324, -415, 227, 446, 319, -46, -319, 76, -93, -646, 168, 764, -288, 816, -264, 838, -430, 303, -402, 18, 235, -408, -125, 1482, 84, 656, 284, 91, -146, 552, -379, 246, 628, 443, 82, -417, -840, -26, -302, 294, 320, 570, 235, -53, 235, -88, -131, -1145, 122, 41, -234, -659, -43, 1178, 0, -713, -472, 17, -323, -375, 88, -110, -291, -601, -262, -359, 257, -384, 212, -284, -121, -124, -212, 35, -856, -445, -104, -450, -28, -2, -229, 431, -1, 217, -556, 222, -788, 368, -361, -103, 162, 319, 434, -563, -206, -231, -39, -275, 210, -401, -180, 629, -178, -139, 512, 54, 60, 1405, -261, 32, 132, 330, -145, -739, -326, -68, -48, -468, 347, -696, -381, 255, -550, -633, -30, -379, -42, 742, 323, -129, -119, -536, -30, 482, -410, -403, 117, -34, -94, 116, -387, 7, 149, -45, -24, 770, -154, 36, -58, -934, -13, -358, -660, -48, -228, 611, 558, 410, -217, -541, 51, -360, 355, 1017, 83, 48, 87, -320, 267, -493, -265, -20, 300, 245, -9, 862, 602, 354, 476, -1243, -220, 392, 590, 359], 'weight': 2, 'weight_parity': 1}
• label 451.2.h.a does not appear in mf_hecke_nf
• 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': 1804, 'analytic_conductor': 3.601253131159745, 'char_conductor': 451, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 8, 'char_orbit_label': 'h', 'char_order': 5, 'char_parity': 1, 'char_values': [451, 5, [288, 375], [1, 2]], 'conrey_index': 59, 'cusp_dim': 160, 'dim': 160, 'eis_dim': 16, 'eis_new_dim': 16, 'hecke_cutter_primes': [], 'hecke_orbit_code': 481069892035, 'hecke_orbit_dims': [160], 'label': '451.2.h', 'level': 451, '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': True, 'level_primes': [11, 41], 'level_radical': 451, 'mf_dim': 176, 'mf_new_dim': 176, 'num_forms': 1, 'prim_orbit_index': 8, 'relative_dim': 40, 'sturm_bound': 84, 'trace_bound': 0, 'trace_display': [1, -7, -1, -6], 'traces': [160, 1, -7, -39, -1, -4, -6, 3, -45, 12, 0, 7, -14, -10, 19, -41, 10, 9, 12, 23, 11, 35, 5, 46, -39, 5, 11, -33, -4, 6, 2, -28, -34, -29, 24, -17, -1, -69, 19, 33, -33, 46, -7, 20, -53, -46, -56, -6, 118, 13, 21, 81, 2, 69, -75, 11, -52, 1, 35, 17, 7, -62, -2, -89, -41, -48, -43, 11, -30, 3, 54, 6, -30, -74, 57, -62, -17, 50, -22, 94, -58, 55, 22, -169, 6, 90, 46, 110, -13, 130, 54, 18, -70, -209, 7, 94, 64, 35, -30, -39, 5, -185, -140, -16, 9, 63, 79, -68, -124, 15, -81, -171, 43, 107, 126, 51, 81, -119, -134, 60, -42, 72, 22, 8, -14, 96, 50, 99, 0, 43, 47, 48, -69, -22, 62, -3, -150, 66, -40, -77, 9, -61, -46, 74, 38, 74, -39, -5, 13, 120, 78, 70, 4, -126, -26, 55, 15, -141, -120, 58, 23, -258, -27, 6, -23, 35, 27, -269, -2, -53, -60, -37, 91, -41, 9, -131, -14, 61, 32, 312, -190, 164, 42, 125, 17, -98, -129, 73, 112, -129, 58, 169, 175, -123, 171, -1, 69, -111, 2, 184, 27, -256, 21, 26, -98, -45, -41, -30, 127, 58, 69, -111, 97, 18, -256, 98, -72, 108, 220, 257, -136, 54, 62, 322, -28, 103, -110, 220, -74, 162, 35, -248, -15, 37, 80, -30, 71, -127, -26, -172, -16, -160, -134, 23, -118, -75, -56, -127, -105, -68, -248, 336, 176, -196, 177, -13, 20, 12, 72, 85, 65, -13, 34, -195, -144, 32, 102, -202, -71, 186, -150, -23, 224, 302, 173, -5, -184, -64, 96, 105, 97, 183, 127, 137, -84, -30, -65, -58, 362, -158, 148, 21, 146, -36, 11, -682, -240, 268, 222, -452, 97, 85, 38, -25, -18, -230, 127, 121, -65, 215, -14, 406, 102, -35, -311, 65, 40, -23, 61, 303, -144, 4, -125, 55, 57, 202, 139, 20, -406, 131, 254, -364, -118, -153, -48, 170, -48, -135, -115, 232, 20, 186, -630, 78, -66, -29, -94, -632, -67, 281, 191, 275, -10, -104, 136, 140, -394, -236, 54, 181, 82, 297, 47, 279, -288, 204, -119, 178, -24, 182, -494, -426, 32, -203, -323, 116, 71, -369, 116, -126, 249, -138, 118, -85, 84, -20, -226, 2, 190, -300, 154, -267, -51, -151, 153, 10, 65, 228, 114, -42, 49, -432, 230, 330, 306, 160, 163, 401, -116, 525, -22, -125, -340, 102, 343, 77, -235, 79, 324, 291, -209, -254, 5, -336, 1, -33, 38, -66, -250, 12, 153, 410, 29, -438, -4, 190, -29, -164, -106, -269, -266, 67, -66, -250, -22, -166, 324, -31, -65, -1476, 203, -692, 311, 14, 7, 345, 188, 276, -226, -116, 164, 355, 2, 142, -340, 335, 362, 452, -39, 324, -19, -7, 279, -98, 185, -80, 195, -31, -139, -795, -149, 216, -172, -197, -150, 39, 64, -275, -180, -28, -8, -535, 290, 124, 269, -59, -246, -32, -40, -292, -50, 24, 103, 50, 176, 3, 87, -387, 60, -301, 46, -281, 102, 84, 47, -115, -152, -296, 42, -858, 13, 682, 24, 90, -228, -40, -195, 68, 133, -92, -314, 93, 154, 342, -279, -117, 210, 91, -305, 20, 225, 392, 186, 200, -48, 226, 223, -152, -27, -375, 56, 74, -98, 66, -100, 205, -109, 355, 244, 126, 231, -329, -107, 471, 54, -190, 376, 363, -176, -282, 228, 50, 260, 269, 292, 179, 68, -52, 259, -384, -30, -302, 164, -501, -264, 63, 75, -413, 122, -266, 32, -105, 108, -297, 124, -182, 72, -53, -90, 7, 30, -74, -46, -58, 92, 696, 253, -77, -20, -331, 40, 225, -90, -146, -200, 192, -22, 477, -402, 69, -195, -375, 7, -167, 53, -209, -613, -69, -229, -117, 146, 298, 452, 34, 183, -8, 0, -225, 120, -9, -248, -48, 91, 781, 237, 407, -139, 565, -250, 116, 410, 113, -219, 706, -84, -103, -236, 311, -218, 573, 1, 527, -365, 41, -34, 52, 127, -374, 240, 566, -30, -553, 89, 430, 468, -32, -24, -1276, 108, -118, 322, 81, 124, -370, -135, 390, -68, 48, -204, -338, 16, -73, -519, -206, -63, 259, -331, -5, 105, 41, 10, 178, 225, 576, -125, -134, 127, 126, -157, -108, 206, 494, 42, 537, -93, 100, -64, 27, -138, -624, -46, 82, -178, 214, 284, -91, -145, -379, -42, 354, -34, 86, 81, 39, 121, -175, 366, 405, -4, 688, -189, -189, -94, 586, 61, 257, -822, -423, 219, 822, 26, 229, 264, -10, -396, 498, -186, 22, -32, 51, 210, -293, 140, 233, 166, -528, 112, 212, 185, -58, 550, -229, -54, -896, -35, 385, 444, 357, -380, -540, 24, 742, -564, -450, -189, -541, 558, -90, -225, -177, 295, 312, 2, -1152, 79, -6, -62, -621, -670, -36, -204, 213, 173, -22, -168, -195, 237, -733, -402, -106, 378, 301, 330, -229, 177, -246, 324, -415, 227, 446, 319, -46, -319, 76, -93, -646, 168, 764, -288, 816, -264, 838, -430, 303, -402, 18, 235, -408, -125, 1482, 84, 656, 284, 91, -146, 552, -379, 246, 628, 443, 82, -417, -840, -26, -302, 294, 320, 570, 235, -53, 235, -88, -131, -1145, 122, 41, -234, -659, -43, 1178, 0, -713, -472, 17, -323, -375, 88, -110, -291, -601, -262, -359, 257, -384, 212, -284, -121, -124, -212, 35, -856, -445, -104, -450, -28, -2, -229, 431, -1, 217, -556, 222, -788, 368, -361, -103, 162, 319, 434, -563, -206, -231, -39, -275, 210, -401, -180, 629, -178, -139, 512, 54, 60, 1405, -261, 32, 132, 330, -145, -739, -326, -68, -48, -468, 347, -696, -381, 255, -550, -633, -30, -379, -42, 742, 323, -129, -119, -536, -30, 482, -410, -403, 117, -34, -94, 116, -387, 7, 149, -45, -24, 770, -154, 36, -58, -934, -13, -358, -660, -48, -228, 611, 558, 410, -217, -541, 51, -360, 355, 1017, 83, 48, 87, -320, 267, -493, -265, -20, 300, 245, -9, 862, 602, 354, 476, -1243, -220, 392, 590, 359], 'weight': 2, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 334200
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 8, 'source_dim': 160, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '451.2.h.a', 'source_level': 451, 'target_char_orbit': 8, 'target_dim': 160, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '451.2.h.a', 'target_level': 451, 'twist_class_label': '451.2.h.a', 'twist_class_level': 451, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
  • id: 334201
    {'conductor': 451, 'degree': 4, 'multiplicity': 1, 'order': 5, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 160, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '451.2.h.a', 'source_level': 451, 'target_char_orbit': 8, 'target_dim': 160, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '451.2.h.a', 'target_level': 451, 'twist_class_label': '451.2.h.a', 'twist_class_level': 451, 'twisting_char_label': '451.h', 'twisting_char_orbit': 8, 'weight': 2}
  • id: 334202
    {'conductor': 11, 'degree': 4, 'multiplicity': 1, 'order': 5, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 160, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '451.2.h.a', 'source_level': 451, 'target_char_orbit': 10, 'target_dim': 160, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '451.2.j.a', 'target_level': 451, 'twist_class_label': '451.2.h.a', 'twist_class_level': 451, 'twisting_char_label': '11.c', 'twisting_char_orbit': 3, 'weight': 2}
  • id: 334203
    {'conductor': 41, 'degree': 4, 'multiplicity': 1, 'order': 5, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 8, 'source_dim': 160, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '451.2.h.a', 'source_level': 451, 'target_char_orbit': 10, 'target_dim': 160, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '451.2.j.a', 'target_level': 451, 'twist_class_label': '451.2.h.a', 'twist_class_level': 451, 'twisting_char_label': '41.d', 'twisting_char_orbit': 4, 'weight': 2}
• hecke_orbit_code 481069892035 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': 8, 'hecke_orbit': 1, 'label': '451.2.h.a', 'level': 451, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 9332184
    {'hecke_orbit_code': 481069892035, 'n': 1, 'trace_an': 160}
  • id: 9332185
    {'hecke_orbit_code': 481069892035, 'n': 2, 'trace_an': 1}
  • id: 9332186
    {'hecke_orbit_code': 481069892035, 'n': 3, 'trace_an': -7}
  • id: 9332187
    {'hecke_orbit_code': 481069892035, 'n': 4, 'trace_an': -39}
  • id: 9332188
    {'hecke_orbit_code': 481069892035, 'n': 5, 'trace_an': -1}
  • id: 9332189
    {'hecke_orbit_code': 481069892035, 'n': 6, 'trace_an': -4}
  • id: 9332190
    {'hecke_orbit_code': 481069892035, 'n': 7, 'trace_an': -6}
  • id: 9332191
    {'hecke_orbit_code': 481069892035, 'n': 8, 'trace_an': 3}
  • id: 9332192
    {'hecke_orbit_code': 481069892035, 'n': 9, 'trace_an': -45}
  • id: 9332193
    {'hecke_orbit_code': 481069892035, 'n': 10, 'trace_an': 12}
  • id: 9332194
    {'hecke_orbit_code': 481069892035, 'n': 11, 'trace_an': 0}
  • id: 9332195
    {'hecke_orbit_code': 481069892035, 'n': 12, 'trace_an': 7}
  • id: 9332196
    {'hecke_orbit_code': 481069892035, 'n': 13, 'trace_an': -14}
  • id: 9332197
    {'hecke_orbit_code': 481069892035, 'n': 14, 'trace_an': -10}
  • id: 9332198
    {'hecke_orbit_code': 481069892035, 'n': 15, 'trace_an': 19}
  • id: 9332199
    {'hecke_orbit_code': 481069892035, 'n': 16, 'trace_an': -41}
  • id: 9332200
    {'hecke_orbit_code': 481069892035, 'n': 17, 'trace_an': 10}
  • id: 9332201
    {'hecke_orbit_code': 481069892035, 'n': 18, 'trace_an': 9}
  • id: 9332202
    {'hecke_orbit_code': 481069892035, 'n': 19, 'trace_an': 12}
  • id: 9332203
    {'hecke_orbit_code': 481069892035, 'n': 20, 'trace_an': 23}
  • id: 9332204
    {'hecke_orbit_code': 481069892035, 'n': 21, 'trace_an': 11}
  • id: 9332205
    {'hecke_orbit_code': 481069892035, 'n': 22, 'trace_an': 35}
  • id: 9332206
    {'hecke_orbit_code': 481069892035, 'n': 23, 'trace_an': 5}
  • id: 9332207
    {'hecke_orbit_code': 481069892035, 'n': 24, 'trace_an': 46}
  • id: 9332208
    {'hecke_orbit_code': 481069892035, 'n': 25, 'trace_an': -39}
  • id: 9332209
    {'hecke_orbit_code': 481069892035, 'n': 26, 'trace_an': 5}
  • id: 9332210
    {'hecke_orbit_code': 481069892035, 'n': 27, 'trace_an': 11}
  • id: 9332211
    {'hecke_orbit_code': 481069892035, 'n': 28, 'trace_an': -33}
  • id: 9332212
    {'hecke_orbit_code': 481069892035, 'n': 29, 'trace_an': -4}
  • id: 9332213
    {'hecke_orbit_code': 481069892035, 'n': 30, 'trace_an': 6}
  • id: 9332214
    {'hecke_orbit_code': 481069892035, 'n': 31, 'trace_an': 2}
  • id: 9332215
    {'hecke_orbit_code': 481069892035, 'n': 32, 'trace_an': -28}
  • id: 9332216
    {'hecke_orbit_code': 481069892035, 'n': 33, 'trace_an': -34}
  • id: 9332217
    {'hecke_orbit_code': 481069892035, 'n': 34, 'trace_an': -29}
  • id: 9332218
    {'hecke_orbit_code': 481069892035, 'n': 35, 'trace_an': 24}
  • id: 9332219
    {'hecke_orbit_code': 481069892035, 'n': 36, 'trace_an': -17}
  • id: 9332220
    {'hecke_orbit_code': 481069892035, 'n': 37, 'trace_an': -1}
  • id: 9332221
    {'hecke_orbit_code': 481069892035, 'n': 38, 'trace_an': -69}
  • id: 9332222
    {'hecke_orbit_code': 481069892035, 'n': 39, 'trace_an': 19}
  • id: 9332223
    {'hecke_orbit_code': 481069892035, 'n': 40, 'trace_an': 33}
  • id: 9332224
    {'hecke_orbit_code': 481069892035, 'n': 41, 'trace_an': -33}
  • id: 9332225
    {'hecke_orbit_code': 481069892035, 'n': 42, 'trace_an': 46}
  • id: 9332226
    {'hecke_orbit_code': 481069892035, 'n': 43, 'trace_an': -7}
  • id: 9332227
    {'hecke_orbit_code': 481069892035, 'n': 44, 'trace_an': 20}
  • id: 9332228
    {'hecke_orbit_code': 481069892035, 'n': 45, 'trace_an': -53}
  • id: 9332229
    {'hecke_orbit_code': 481069892035, 'n': 46, 'trace_an': -46}
  • id: 9332230
    {'hecke_orbit_code': 481069892035, 'n': 47, 'trace_an': -56}
  • id: 9332231
    {'hecke_orbit_code': 481069892035, 'n': 48, 'trace_an': -6}
  • id: 9332232
    {'hecke_orbit_code': 481069892035, 'n': 49, 'trace_an': 118}
  • id: 9332233
    {'hecke_orbit_code': 481069892035, 'n': 50, 'trace_an': 13}
  • id: 9332234
    {'hecke_orbit_code': 481069892035, 'n': 51, 'trace_an': 21}
  • id: 9332235
    {'hecke_orbit_code': 481069892035, 'n': 52, 'trace_an': 81}
  • id: 9332236
    {'hecke_orbit_code': 481069892035, 'n': 53, 'trace_an': 2}
  • id: 9332237
    {'hecke_orbit_code': 481069892035, 'n': 54, 'trace_an': 69}
  • id: 9332238
    {'hecke_orbit_code': 481069892035, 'n': 55, 'trace_an': -75}
  • id: 9332239
    {'hecke_orbit_code': 481069892035, 'n': 56, 'trace_an': 11}
  • id: 9332240
    {'hecke_orbit_code': 481069892035, 'n': 57, 'trace_an': -52}
  • id: 9332241
    {'hecke_orbit_code': 481069892035, 'n': 58, 'trace_an': 1}
  • id: 9332242
    {'hecke_orbit_code': 481069892035, 'n': 59, 'trace_an': 35}
  • id: 9332243
    {'hecke_orbit_code': 481069892035, 'n': 60, 'trace_an': 17}
  • id: 9332244
    {'hecke_orbit_code': 481069892035, 'n': 61, 'trace_an': 7}
  • id: 9332245
    {'hecke_orbit_code': 481069892035, 'n': 62, 'trace_an': -62}
  • id: 9332246
    {'hecke_orbit_code': 481069892035, 'n': 63, 'trace_an': -2}
  • id: 9332247
    {'hecke_orbit_code': 481069892035, 'n': 64, 'trace_an': -89}
  • id: 9332248
    {'hecke_orbit_code': 481069892035, 'n': 65, 'trace_an': -41}
  • id: 9332249
    {'hecke_orbit_code': 481069892035, 'n': 66, 'trace_an': -48}
  • id: 9332250
    {'hecke_orbit_code': 481069892035, 'n': 67, 'trace_an': -43}
  • id: 9332251
    {'hecke_orbit_code': 481069892035, 'n': 68, 'trace_an': 11}
  • id: 9332252
    {'hecke_orbit_code': 481069892035, 'n': 69, 'trace_an': -30}
  • id: 9332253
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  • id: 9332254
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  • id: 9332255
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  • id: 9332256
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  • id: 9332257
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  • id: 9332258
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  • id: 9332259
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  • id: 9332260
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  • id: 9332261
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  • id: 9332262
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  • id: 9332263
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  • id: 9332264
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  • id: 9332265
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  • id: 9332266
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  • id: 9332267
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  • id: 9332268
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  • id: 9332269
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  • id: 9332270
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  • id: 9332271
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  • id: 9332272
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  • id: 9332273
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  • id: 9332274
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  • id: 9332275
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  • id: 9332276
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  • id: 9332277
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  • id: 9332278
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  • id: 9332279
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  • id: 9332280
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  • id: 9332281
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  • id: 9332282
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  • id: 9332283
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  • id: 9332284
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  • id: 9332285
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  • id: 9332286
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  • id: 9332287
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  • id: 9332288
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  • id: 9332289
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  • id: 9332290
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  • id: 9332291
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  • id: 9332292
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  • id: 9332293
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  • id: 9332294
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  • id: 9332295
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  • id: 9332296
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  • id: 9332297
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  • id: 9332298
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  • id: 9332299
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  • id: 9332300
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  • id: 9332301
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  • id: 9332302
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  • id: 9332303
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  • id: 9332304
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  • id: 9332305
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  • id: 9332306
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  • id: 9332307
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  • id: 9332308
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  • id: 9332309
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  • id: 9332310
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  • id: 9332311
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  • id: 9332312
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  • id: 9332313
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  • id: 9332314
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  • id: 9332315
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  • id: 9332316
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  • id: 9332317
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  • id: 9332318
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  • id: 9332319
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  • id: 9332320
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  • id: 9332321
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  • id: 9332322
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  • id: 9332323
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  • id: 9332324
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  • id: 9332325
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  • id: 9332326
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  • id: 9332327
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  • id: 9332328
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  • id: 9332329
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  • id: 9332330
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  • id: 9332331
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  • id: 9332332
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  • id: 9332333
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  • id: 9332334
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  • id: 9332335
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  • id: 9332336
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  • id: 9332337
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  • id: 9332338
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  • id: 9332339
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  • id: 9332340
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  • id: 9332341
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  • id: 9332342
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  • id: 9332343
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  • id: 9332344
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  • id: 9332345
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  • id: 9332346
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  • id: 9332347
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  • id: 9332348
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  • id: 9332349
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  • id: 9332350
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  • id: 9332351
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  • id: 9332352
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  • id: 9332353
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  • id: 9332354
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  • id: 9332355
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  • id: 9332356
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  • id: 9332357
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  • id: 9332358
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  • id: 9332359
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  • id: 9332360
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  • id: 9332361
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  • id: 9332362
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  • id: 9332363
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  • id: 9332364
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  • id: 9332365
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  • id: 9332366
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  • id: 9332367
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  • id: 9332368
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  • id: 9332369
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  • id: 9332370
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  • id: 9332371
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  • id: 9332372
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  • id: 9332373
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  • id: 9332374
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  • id: 9332375
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  • id: 9332376
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  • id: 9332377
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  • id: 9332378
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  • id: 9332379
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  • id: 9332380
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  • id: 9332381
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  • id: 9332382
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  • id: 9332383
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  • id: 9332384
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  • id: 9332385
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  • id: 9332386
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  • id: 9332387
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  • id: 9332388
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  • id: 9332389
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  • id: 9332390
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  • id: 9332391
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  • id: 9332392
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  • id: 9332393
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  • id: 9332394
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  • id: 9332395
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  • id: 9332396
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  • id: 9332397
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  • id: 9332398
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  • id: 9332399
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  • id: 9332400
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  • id: 9332401
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  • id: 9332402
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  • id: 9332403
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  • id: 9332404
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  • id: 9332405
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  • id: 9332406
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  • id: 9332407
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  • id: 9332408
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  • id: 9332409
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  • id: 9332410
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  • id: 9332411
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  • id: 9332412
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  • id: 9332413
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  • id: 9332414
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  • id: 9332415
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  • id: 9332416
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  • id: 9332417
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  • id: 9332418
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  • id: 9332419
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  • id: 9332420
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  • id: 9332421
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  • id: 9332422
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  • id: 9332423
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  • id: 9332424
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  • id: 9332425
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  • id: 9332426
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  • id: 9332427
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  • id: 9332428
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  • id: 9332429
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  • id: 9332430
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  • id: 9332431
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  • id: 9332432
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  • id: 9332433
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  • id: 9332434
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  • id: 9332435
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  • id: 9332436
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  • id: 9332437
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  • id: 9332438
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  • id: 9332439
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  • id: 9332440
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  • id: 9332441
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