6afdb4b148
Lucidia Core - AI reasoning engines for specialized domains: - Physicist (867 lines) - energy modeling, force calculations - Mathematician (760 lines) - symbolic computation, proofs - Geologist (654 lines) - terrain modeling, stratigraphy - Engineer (599 lines) - structural analysis, optimization - Painter (583 lines) - visual generation, graphics - Chemist (569 lines) - molecular analysis, reactions - Analyst (505 lines) - pattern recognition, insights - Plus: architect, researcher, mediator, speaker, poet, navigator Features: - FastAPI wrapper with REST endpoints for each agent - CLI with `lucidia list`, `lucidia run`, `lucidia api` - Codex YAML configurations for agent personalities - Quantum engine extensions 12,512 lines of Python across 91 files. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
45 lines
1.3 KiB
Python
45 lines
1.3 KiB
Python
"""Quantum ML module for Lucidia.
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This package is optional and guarded by the ``LUCIDIA_QML`` environment
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variable. Only local simulators are used; remote providers are disabled
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when ``LUCIDIA_QML_REMOTE`` is unset or false.
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"""
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from __future__ import annotations
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import os
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from typing import Dict, Type
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from .backends import AerCPUBackend, QuantumBackend
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_QML_ENABLED = os.getenv("LUCIDIA_QML", "off").lower() in {"1", "true", "on"}
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_REMOTE_OK = os.getenv("LUCIDIA_QML_REMOTE", "false").lower() in {"1", "true", "on"}
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# Registry of available backends
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_BACKENDS: Dict[str, Type[QuantumBackend]] = {"aer_cpu": AerCPUBackend}
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def is_enabled() -> bool:
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"""Return True if the Quantum ML feature flag is on."""
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return _QML_ENABLED
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def get_backend(name: str = "aer_cpu") -> QuantumBackend:
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"""Instantiate and return a backend by name.
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Parameters
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----------
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name:
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Registered backend key. Defaults to ``aer_cpu``.
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"""
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if not _QML_ENABLED:
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raise RuntimeError("Quantum ML disabled")
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if not _REMOTE_OK and name not in _BACKENDS:
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raise RuntimeError("Remote backends are disabled")
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backend_cls = _BACKENDS.get(name)
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if backend_cls is None:
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raise ValueError(f"Unknown backend '{name}'")
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return backend_cls()
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