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mf_newforms • Show schema
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{'Nk2': 1400, 'analytic_conductor': 2.7947640707448134, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [350, 2, [127, 101], [1, 2]], 'cm_discs': [], 'conrey_index': 99, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [1, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007336727249246, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '350.2.c.c', 'level': 350, '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, 7], 'level_radical': 70, 'minimal_twist': '350.2.a.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+iq^{2}-iq^{3}-q^{4}+q^{6}+iq^{7}-iq^{8}+\\cdots', 'related_objects': ['EllipticCurve/2.2.5.1/4900.1/b', 'ModularForm/GL2/TotallyReal/2.2.5.1/holomorphic/2.2.5.1-4900.1-b'], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '350.2.c', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1440927405992135087, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.004', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.859', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.658', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '144.460', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.518', 'prec': 17}, 'traces': [2, 0, 0, -2, 0, 2, 0, 0, 4, 0, 6, 0, 0, -2, 0, 2, 0, 0, 14, 0, 2, 0, 0, -2, 0, 4, 0, 0, 12, 0, -8, 0, 0, -6, 0, -4, 0, 0, -4, 0, -18, 0, 0, -6, 0, 0, 0, 0, -2, 0, 6, 0, 0, 10, 0, 2, 0, 0, -24, 0, -20, 0, 0, -2, 0, 6, 0, 0, 0, 0, 12, 0, 0, -16, 0, -14, 0, 0, -28, 0, 2, 0, 0, -2, 0, 16, 0, 0, 30, 0, 4, 0, 0, 12, 0, 2, 0, 0, 12, 0, 0, 0, 0, -4, 0, -24, 0, 0, -28, 0, 16, 0, 0, 14, 0, -12, 0, 0, -6, 0, -4, 0, 0, 8, 0, -4, 0, 0, -16, 0, 0, 0, 0, 14, 0, 6, 0, 0, 14, 0, -12, 0, 0, 4, 0, 10, 0, 0, -24, 0, 16, 0, 0, -6, 0, 4, 0, 0, 24, 0, 0, 0, 0, 18, 0, -18, 0, 0, 18, 0, 28, 0, 0, 12, 0, 6, 0, 0, -6, 0, 4, 0, 0, 0, 0, -8, 0, 0, 10, 0, -12, 0, 0, 20, 0, 2, 0, 0, -28, 0, -14, 0, 0, -6, 0, 40, 0, 0, 42, 0, 34, 0, 0, -6, 0, -10, 0, 0, -10, 0, 12, 0, 0, -2, 0, -18, 0, 0, -52, 0, 6, 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mf_hecke_nf • Show schema
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{'an': [[1, 0], [0, 1], [0, -1], [-1, 0], [0, 0], [1, 0], [0, 1], [0, -1], [2, 0], [0, 0], [3, 0], [0, 1], [0, -2], [-1, 0], [0, 0], [1, 0], [0, 3], [0, 2], [7, 0], [0, 0], [1, 0], [0, 3], [0, 0], [-1, 0], [0, 0], [2, 0], [0, -5], [0, -1], [6, 0], [0, 0], [-4, 0], [0, 1], [0, -3], [-3, 0], [0, 0], [-2, 0], [0, 8], [0, 7], [-2, 0], [0, 0], [-9, 0], [0, 1], [0, -8], [-3, 0], [0, 0], [0, 0], [0, -6], [0, -1], [-1, 0], [0, 0], [3, 0], [0, 2], [0, 12], [5, 0], [0, 0], [1, 0], [0, -7], [0, 6], [-12, 0], [0, 0], [-10, 0], [0, -4], [0, 2], [-1, 0], [0, 0], [3, 0], [0, -7], [0, -3], [0, 0], [0, 0], [6, 0], [0, -2], [0, -5], [-8, 0], [0, 0], [-7, 0], [0, 3], [0, -2], [-14, 0], [0, 0], [1, 0], [0, -9], [0, 9], [-1, 0], [0, 0], [8, 0], [0, -6], [0, -3], [15, 0], [0, 0], [2, 0], [0, 0], [0, 4], [6, 0], [0, 0], [1, 0], [0, -10], [0, -1], [6, 0], [0, 0]], 'ap': [[0, 1], [0, -1], [0, 0], [0, 1], [3, 0], [0, -2], [0, 3], [7, 0], [0, 0], [6, 0], [-4, 0], [0, 8], [-9, 0], [0, -8], [0, -6], [0, 12], [-12, 0], [-10, 0], [0, -7], [6, 0], [0, -5], [-14, 0], [0, 9], [15, 0], [0, -10], [0, 0], [0, -20], [0, 3], [-14, 0], [0, 9], [0, 2], [0, 0], [0, 21], [7, 0], [-12, 0], [8, 0], [0, 20], [0, -5], [0, 12], [0, 6], [-3, 0], [2, 0], [-6, 0], [0, -5], [0, -6], [-14, 0], [17, 0], [0, -14], [0, 12], [-26, 0], [0, -6], [12, 0], [-25, 0], [15, 0], [0, -30], [0, -6], [6, 0], [2, 0], [0, 2], [-18, 0], [0, 1], [0, 6], [0, -7], [-18, 0], [0, 10], [0, -12], [-25, 0], [0, -13], [0, -21], [-8, 0], [0, -30], [6, 0], [0, 8], [0, 4], [-17, 0], [0, 30], [24, 0], [0, 2], [-27, 0], [25, 0], [3, 0], [20, 0], [-36, 0], [0, -11], [4, 0], [0, -21], [15, 0], [0, 17], [18, 0], [0, -8], [0, 36], [-18, 0], [0, -34], [-12, 0], [28, 0], [0, 6], [-42, 0], [39, 0], [0, 7], [38, 0], [0, 35], [0, 36], [0, -12], [27, 0], [-4, 0], [0, -7], [0, 39], [0, 27], [-24, 0], [-7, 0], [0, 44], [0, -2], [0, -18], [28, 0], [32, 0], [-30, 0], [0, 40], [0, -24], [0, -36], [-9, 0], [-10, 0], [0, -2], [0, 0], [0, -3], [-19, 0], [0, 0], [28, 0], [0, 0], [0, -34], [0, 40], [-20, 0], [0, 24], [-46, 0], [0, -34], [-9, 0], [-23, 0], [0, 12], [0, -4], [0, -30], [-6, 0], [44, 0], [24, 0], [0, -26], [0, 9], [4, 0], [6, 0], [0, 10], [0, 15], [31, 0], [0, 12], [0, 32], [-6, 0], [0, -47], [0, 6], [0, -4], [36, 0], [34, 0], [18, 0], [0, 29], [24, 0], [0, 12], [0, -57], [0, -34], [9, 0], [0, -3], [0, -12], [20, 0], [0, 62]], 'char_orbit_index': 3, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 9007336727249246, 'hecke_ring_character_values': [[127, [-1, 0]], [101, [1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_power_basis': True, 'hecke_ring_rank': 2, 'label': '350.2.c.c', 'level': 350, 'maxp': 997, 'weight': 2}
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mf_newspaces • Show schema
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{'Nk2': 1400, 'analytic_conductor': 2.7947640707448134, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 2, 'char_parity': 1, 'char_values': [350, 2, [127, 101], [1, 2]], 'conrey_index': 99, 'cusp_dim': 48, 'dim': 8, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 137472508254, 'hecke_orbit_dims': [2, 2, 2, 2], 'label': '350.2.c', 'level': 350, '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, 7], 'level_radical': 70, 'mf_dim': 72, 'mf_new_dim': 8, 'num_forms': 4, 'prim_orbit_index': 2, 'relative_dim': 8, 'sturm_bound': 120, 'trace_bound': 6, 'trace_display': [0, 0, 0, 0], 'traces': [8, 0, 0, -8, 0, 0, 0, 0, -4, 0, 4, 0, 0, 4, 0, 8, 0, 0, 16, 0, 4, 0, 0, 0, 0, -12, 0, 0, 24, 0, -8, 0, 0, 4, 0, 4, 0, 0, -56, 0, 20, 0, 0, -4, 0, 0, 0, 0, -8, 0, -12, 0, 0, 36, 0, -4, 0, 0, -4, 0, -36, 0, 0, -8, 0, 36, 0, 0, 0, 0, -40, 0, 0, -8, 0, -16, 0, 0, -24, 0, 16, 0, 0, -4, 0, -8, 0, 0, 44, 0, 20, 0, 0, -32, 0, 0, 0, 0, 96, 0, -12, 0, 0, 12, 0, -32, 0, 0, -8, 0, -40, 0, 0, -12, 0, -24, 0, 0, -16, 0, 12, 0, 0, 8, 0, -12, 0, 0, -32, 0, 20, 0, 0, 12, 0, -4, 0, 0, -24, 0, 24, 0, 0, -4, 0, -4, 0, 0, -24, 0, 64, 0, 0, -8, 0, 56, 0, 0, 72, 0, 0, 0, 0, -20, 0, 32, 0, 0, -80, 0, -4, 0, 0, 0, 0, 4, 0, 0, 36, 0, 36, 0, 0, 0, 0, 0, 0, 0, -16, 0, 72, 0, 0, 16, 0, 8, 0, 0, -16, 0, -52, 0, 0, 12, 0, 88, 0, 0, 12, 0, 36, 0, 0, -12, 0, -36, 0, 0, -44, 0, -48, 0, 0, 4, 0, -28, 0, 0, 12, 0, -24, 0, 0, 36, 0, 4, 0, 0, -64, 0, -60, 0, 0, 36, 0, -60, 0, 0, 60, 0, 48, 0, 0, 8, 0, 8, 0, 0, -24, 0, -96, 0, 0, -36, 0, -12, 0, 0, 12, 0, -40, 0, 0, 12, 0, 0, 0, 0, 88, 0, 32, 0, 0, 40, 0, 24, 0, 0, 36, 0, 80, 0, 0, 0, 0, 8, 0, 0, 0, 0, 40, 0, 0, 16, 0, -48, 0, 0, -32, 0, -120, 0, 0, -76, 0, 24, 0, 0, -72, 0, -60, 0, 0, -16, 0, -4, 0, 0, 56, 0, -60, 0, 0, -72, 0, 4, 0, 0, 36, 0, 80, 0, 0, 8, 0, -28, 0, 0, 36, 0, 56, 0, 0, 24, 0, -44, 0, 0, -8, 0, -28, 0, 0, -20, 0, 24, 0, 0, -168, 0, -16, 0, 0, -44, 0, 32, 0, 0, 4, 0, 152, 0, 0, 0, 0, -52, 0, 0, -32, 0, 0, 0, 0, -8, 0, -96, 0, 0, 40, 0, -44, 0, 0, 12, 0, 0, 0, 0, 124, 0, -12, 0, 0, 0, 0, -12, 0, 0, 24, 0, 40, 0, 0, 32, 0, 72, 0, 0, 168, 0, -96, 0, 0, 8, 0, 8, 0, 0, -48, 0, 4, 0, 0, 40, 0, 88, 0, 0, -12, 0, -148, 0, 0, 52, 0, 12, 0, 0, -36, 0, 4, 0, 0, 24, 0, 24, 0, 0, 16, 0, 32, 0, 0, -72, 0, 16, 0, 0, 0, 0, 40, 0, 0, -12, 0, 12, 0, 0, -188, 0, -48, 0, 0, -24, 0, -8, 0, 0, 16, 0, 0, 0, 0, 12, 0, 0, 0, 0, -148, 0, 24, 0, 0, 136, 0, 32, 0, 0, -24, 0, 116, 0, 0, -20, 0, 8, 0, 0, 184, 0, 36, 0, 0, -12, 0, -12, 0, 0, -4, 0, 32, 0, 0, 4, 0, -48, 0, 0, -116, 0, 96, 0, 0, 72, 0, 24, 0, 0, -16, 0, -12, 0, 0, -24, 0, 80, 0, 0, 12, 0, 56, 0, 0, 56, 0, 4, 0, 0, -68, 0, -68, 0, 0, 4, 0, -68, 0, 0, -64, 0, 192, 0, 0, -60, 0, 24, 0, 0, 48, 0, 164, 0, 0, -64, 0, 0, 0, 0, 24, 0, -48, 0, 0, 8, 0, 8, 0, 0, -4, 0, 0, 0, 0, -56, 0, -64, 0, 0, -16, 0, -32, 0, 0, -16, 0, -72, 0, 0, 48, 0, -88, 0, 0, 0, 0, -60, 0, 0, 32, 0, -16, 0, 0, -144, 0, 20, 0, 0, -28, 0, -276, 0, 0, -32, 0, 120, 0, 0, 136, 0, -152, 0, 0, 140, 0, 80, 0, 0, 24, 0, 120, 0, 0, 4, 0, -4, 0, 0, 120, 0, -96, 0, 0, -52, 0, 0, 0, 0, 0, 0, 16, 0, 0, -4, 0, -24, 0, 0, 144, 0, -16, 0, 0, -24, 0, -36, 0, 0, 24, 0, -8, 0, 0, -36, 0, -132, 0, 0, 56, 0, 176, 0, 0, -16, 0, 0, 0, 0, -72, 0, -104, 0, 0, 0, 0, -16, 0, 0, 0, 0, -104, 0, 0, 72, 0, 16, 0, 0, 0, 0, 36, 0, 0, -72, 0, -96, 0, 0, -132, 0, -144, 0, 0, 168, 0, -16, 0, 0, -84, 0, 8, 0, 0, -8, 0, 24, 0, 0, -72, 0, -8, 0, 0, -4, 0, 16, 0, 0, 152, 0, -144, 0, 0, 52, 0, -96, 0, 0, -24, 0, 52, 0, 0, 112, 0, -12, 0, 0, -20, 0, 24, 0, 0, -88, 0, 44, 0, 0, -4, 0, 224, 0, 0, -108, 0, -12, 0, 0, 16, 0, 56, 0, 0, -36, 0, 24, 0, 0, -164, 0, 0, 0, 0, 4, 0, 12, 0, 0, 232, 0, 24, 0, 0, 36, 0, 92, 0, 0, -40, 0, 40, 0, 0, 0, 0, 44, 0, 0, 24, 0, -64, 0, 0, 48, 0, 100, 0, 0, -16, 0, -12, 0, 0, 120, 0, -4, 0, 0, -240, 0, -16, 0, 0, 28, 0, 0, 0, 0, -36, 0, 144, 0, 0, -124, 0, -12, 0, 0, 56, 0, -100, 0, 0, 24, 0, -64, 0, 0, -184, 0, -16, 0, 0, 4, 0, -36, 0, 0, -80, 0, 116, 0, 0, -4, 0, 160, 0, 0, -64, 0, -72, 0, 0, -96, 0, 64, 0, 0, -96, 0, -24, 0, 0, 60, 0, 0, 0, 0, 108, 0, -144, 0, 0, 40, 0, -36, 0, 0, -100, 0, -304, 0, 0, 60, 0, 72, 0, 0, 0, 0, 96, 0, 0, -64, 0, -60, 0, 0, 208, 0], 'weight': 2, 'weight_parity': 1}
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mf_twists_nf • Show schema
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id: 265381
{'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '350.2.a.a', 'target_level': 350, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
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id: 265382
{'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 5, 'target_is_minimal': True, 'target_label': '350.2.a.e', 'target_level': 350, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
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id: 265383
{'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '350.2.c.c', 'target_level': 350, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
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id: 265384
{'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 3, 'target_is_minimal': False, 'target_label': '350.2.c.c', 'target_level': 350, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
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id: 265385
{'conductor': 35, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '2450.2.a.m', 'target_level': 2450, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 2}
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id: 265386
{'conductor': 35, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '2450.2.a.x', 'target_level': 2450, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '35.f', 'twisting_char_orbit': 6, 'weight': 2}
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id: 265387
{'conductor': 7, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '2450.2.c.h', 'target_level': 2450, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '7.b', 'twisting_char_orbit': 2, 'weight': 2}
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id: 265388
{'conductor': 35, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 3, 'target_dim': 2, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '2450.2.c.h', 'target_level': 2450, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '35.c', 'twisting_char_orbit': 3, 'weight': 2}
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id: 265389
{'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 8, 'target_is_minimal': False, 'target_label': '2800.2.a.h', 'target_level': 2800, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
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id: 265390
{'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '2800.2.a.x', 'target_level': 2800, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 2}
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id: 265391
{'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '2800.2.g.i', 'target_level': 2800, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
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id: 265392
{'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '2800.2.g.i', 'target_level': 2800, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
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id: 265393
{'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 13, 'target_is_minimal': False, 'target_label': '3150.2.a.m', 'target_level': 3150, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
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id: 265394
{'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 24, 'target_is_minimal': False, 'target_label': '3150.2.a.x', 'target_level': 3150, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 2}
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id: 265395
{'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '3150.2.g.f', 'target_level': 3150, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
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id: 265396
{'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 3, 'source_dim': 2, 'source_hecke_orbit': 3, 'source_is_minimal': False, 'source_label': '350.2.c.c', 'source_level': 350, 'target_char_orbit': 7, 'target_dim': 2, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '3150.2.g.f', 'target_level': 3150, 'twist_class_label': '350.2.a.a', 'twist_class_level': 350, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
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mf_hecke_charpolys • Show schema
Hide schema
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id: 751775
{'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 2}
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id: 751776
{'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 3}
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id: 751777
{'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 5}
-
id: 751778
{'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 7}
-
id: 751779
{'charpoly_factorization': [[[-3, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 11}
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id: 751780
{'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 13}
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id: 751781
{'charpoly_factorization': [[[9, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 17}
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id: 751782
{'charpoly_factorization': [[[-7, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 19}
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id: 751783
{'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 23}
-
id: 751784
{'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 29}
-
id: 751785
{'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 31}
-
id: 751786
{'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 37}
-
id: 751787
{'charpoly_factorization': [[[9, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 41}
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id: 751788
{'charpoly_factorization': [[[64, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 43}
-
id: 751789
{'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 47}
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id: 751790
{'charpoly_factorization': [[[144, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 53}
-
id: 751791
{'charpoly_factorization': [[[12, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 59}
-
id: 751792
{'charpoly_factorization': [[[10, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 61}
-
id: 751793
{'charpoly_factorization': [[[49, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 67}
-
id: 751794
{'charpoly_factorization': [[[-6, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 71}
-
id: 751795
{'charpoly_factorization': [[[25, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 73}
-
id: 751796
{'charpoly_factorization': [[[14, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 79}
-
id: 751797
{'charpoly_factorization': [[[81, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 83}
-
id: 751798
{'charpoly_factorization': [[[-15, 1], 2]], 'hecke_orbit_code': 9007336727249246, 'p': 89}
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id: 751799
{'charpoly_factorization': [[[100, 0, 1], 1]], 'hecke_orbit_code': 9007336727249246, 'p': 97}
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mf_newform_portraits • Show schema
Hide schema
{'char_orbit_index': 3, 'hecke_orbit': 3, 'label': '350.2.c.c', 'level': 350, 'portrait': 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', 'weight': 2}
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mf_hecke_traces • Show schema
Hide schema
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id: 29863219
{'hecke_orbit_code': 9007336727249246, 'n': 1, 'trace_an': 2}
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id: 29863220
{'hecke_orbit_code': 9007336727249246, 'n': 2, 'trace_an': 0}
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id: 29863221
{'hecke_orbit_code': 9007336727249246, 'n': 3, 'trace_an': 0}
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id: 29863222
{'hecke_orbit_code': 9007336727249246, 'n': 4, 'trace_an': -2}
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id: 29863223
{'hecke_orbit_code': 9007336727249246, 'n': 5, 'trace_an': 0}
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id: 29863224
{'hecke_orbit_code': 9007336727249246, 'n': 6, 'trace_an': 2}
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id: 29863225
{'hecke_orbit_code': 9007336727249246, 'n': 7, 'trace_an': 0}
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id: 29863226
{'hecke_orbit_code': 9007336727249246, 'n': 8, 'trace_an': 0}
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id: 29863227
{'hecke_orbit_code': 9007336727249246, 'n': 9, 'trace_an': 4}
-
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