# pec5d/grid_vision.py """ GRID.VISION — Spatial Interface Core. 5D voxel rendering · SLM holography · lightfield projection. The grid is a 5D coordinate lattice (x, y, z, t, Φ-phase); the renderer produces voxel intensity fields for display. """ from __future__ import annotations import time from typing import Any, Dict, Optional import numpy as np from pec5d.constants import PHI, CARRIER_HZ class GridVision: """GRID.VISION — 5D spatial interface core (SLM holography model).""" DIMS = ["x", "y", "z", "t", "phi"] def __init__(self, resolution: int = 64): self.resolution = resolution self.carrier_hz = CARRIER_HZ self.frames: list[np.ndarray] = [] self.active = False def initialize(self) -> "GridVision": """Initialize the vision core.""" print(f"👁 GRID.VISION initializing — 5D lattice {self.resolution}³ × t × Φ") self.active = True return self def render_voxels(self, seed: Optional[int] = None) -> Dict[str, Any]: """Render a 5D voxel intensity field (simulated lightfield).""" rng = np.random.default_rng(seed) voxels = rng.standard_normal((self.resolution, self.resolution)) voxels = voxels * np.abs(np.sin(np.arange(self.resolution) * PHI)) self.frames.append(voxels) return { "resolution": self.resolution, "dims": self.DIMS, "energy": round(float(np.mean(voxels**2)), 6), "carrier_hz": self.carrier_hz, "frame": len(self.frames), } def lightfield_projection(self, hologram: Optional[np.ndarray] = None) -> Dict[str, Any]: """Describe a lightfield projection (SLM parameters).""" return { "slm_pixels": self.resolution**2, "frame_rate_hz": 100, "carrier_hz": self.carrier_hz, "phase_lattice": self.DIMS, } def get_state(self) -> Dict[str, Any]: """Vision core state.""" return { "active": self.active, "resolution": self.resolution, "dims": self.DIMS, "frames_rendered": len(self.frames), "carrier_hz": self.carrier_hz, }