File size: 1,661 Bytes
a7ce7ca b5023f2 a7ce7ca b5023f2 a7ce7ca |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 |
# aduc_types.py
# AducSdr: Uma implementação aberta e funcional da arquitetura ADUC-SDR
# Copyright (C) 4 de Agosto de 2025 Carlos Rodrigues dos Santos
#
# Contato:
# Carlos Rodrigues dos Santos
# carlex22@gmail.com
# Rua Eduardo Carlos Pereira, 4125, B1 Ap32, Curitiba, PR, Brazil, CEP 8102025
#
# Repositórios e Projetos Relacionados:
# GitHub: https://github.com/carlex22/Aduc-sdr
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Affero General Public License for more details.
#
# You should have received a copy of the GNU Affero General Public License
# along with this program. If not, see <https://www.gnu.org/licenses/>.
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Affero General Public License...
# PENDING PATENT NOTICE: Please see NOTICE.md.
#
# Version: 1.0.0
#
# This file defines common data structures and types used across the ADUC-SDR
# framework to ensure consistent data contracts between modules.
from dataclasses import dataclass
import torch
@dataclass
class LatentConditioningItem:
"""Represents a conditioning anchor in the latent space for the Camera (Ψ)."""
latent_tensor: torch.Tensor
media_frame_number: int
conditioning_strength: float |